diff --git a/CWT/__init__.py b/CWT/__init__.py new file mode 100644 index 0000000..ea6ee20 --- /dev/null +++ b/CWT/__init__.py @@ -0,0 +1,2 @@ +__all__ = ['cwt'] +__version__ = "0.2.0" diff --git a/cwt.py b/CWT/cwt.py similarity index 60% rename from cwt.py rename to CWT/cwt.py index ea41ba0..f6d80d2 100644 --- a/cwt.py +++ b/CWT/cwt.py @@ -6,11 +6,11 @@ import numpy as np import tensorflow as tf +from keras.layers import Layer - -class ContinuousWaveletTransform(object): +class ContinuousWaveletTransform(Layer): """CWT layer implementation in Tensorflow for GPU acceleration.""" - def __init__(self, n_scales, border_crop=0, stride=1, name="cwt"): + def __init__(self, n_scales, border_crop=0, stride=1, outputformat='Complex' ): """ Args: n_scales: (int) Number of scales for the scalogram. @@ -20,14 +20,13 @@ def __init__(self, n_scales, border_crop=0, stride=1, name="cwt"): desired size to remove border effects of the CWT. Default 0. stride: (int) The stride of the sliding window across the input. Default is 1. - name: (string) A name for the op. Default "cwt". """ + super(ContinuousWaveletTransform, self).__init__() self.n_scales = n_scales self.border_crop = border_crop self.stride = stride - self.name = name - with tf.variable_scope(self.name): - self.real_part, self.imaginary_part = self._build_wavelet_bank() + self.outputformat = outputformat + self.real_part, self.imaginary_part = self._build_wavelet_bank() def _build_wavelet_bank(self): """Needs implementation to compute the real and imaginary parts @@ -36,8 +35,9 @@ def _build_wavelet_bank(self): real_part = None imaginary_part = None return real_part, imaginary_part - - def __call__(self, inputs): + + @tf.function + def call(self, inputs): """ Computes the CWT with the specified wavelet bank. If the signal has more than one channel, the CWT is computed for @@ -57,33 +57,37 @@ def __call__(self, inputs): border_crop = int(self.border_crop / self.stride) start = border_crop end = (-border_crop) if (border_crop > 0) else None - with tf.variable_scope(self.name): - # Input has expected shape of [batch_size, time_len, n_channels] - # We first unstack the input channels - inputs_unstacked = tf.unstack(inputs, axis=2) - multi_channel_cwt = [] - for j, single_channel in enumerate(inputs_unstacked): - # Reshape input [batch, time_len] -> [batch, 1, time_len, 1] - inputs_expand = tf.expand_dims(single_channel, axis=1) - inputs_expand = tf.expand_dims(inputs_expand, axis=3) - with tf.name_scope('%s_%d' % (self.name, j)): - bank_real = self.real_part - bank_imag = -self.imaginary_part # Conjugation - out_real = tf.nn.conv2d( - input=inputs_expand, filter=bank_real, - strides=[1, 1, self.stride, 1], padding="SAME") - out_imag = tf.nn.conv2d( - input=inputs_expand, filter=bank_imag, - strides=[1, 1, self.stride, 1], padding="SAME") - out_real_crop = out_real[:, :, start:end, :] - out_imag_crop = out_imag[:, :, start:end, :] - out_concat = tf.concat( - [out_real_crop, out_imag_crop], axis=1) - # [batch, 2, time, n_scales]->[batch, time, n_scales, 2] - single_scalogram = tf.transpose( - out_concat, perm=[0, 2, 3, 1]) - multi_channel_cwt.append(single_scalogram) + # Input has expected shape of [batch_size, time_len, n_channels] + # We first unstack the input channels + inputs_unstacked = tf.unstack(inputs, axis=2) + multi_channel_cwt = [] + for j, single_channel in enumerate(inputs_unstacked): + # Reshape input [batch, time_len] -> [batch, 1, time_len, 1] + inputs_expand = tf.expand_dims(single_channel, axis=1) + inputs_expand = tf.expand_dims(inputs_expand, axis=3) + bank_real = self.real_part + bank_imag = -self.imaginary_part # Conjugation + out_real = tf.nn.conv2d( + input=inputs_expand, filters=bank_real, + strides=[1, 1, self.stride, 1], padding="SAME") + out_imag = tf.nn.conv2d( + input=inputs_expand, filters=bank_imag, + strides=[1, 1, self.stride, 1], padding="SAME") + out_real_crop = out_real[:, :, start:end, :] + out_imag_crop = out_imag[:, :, start:end, :] + out_mag_crop = tf.sqrt(out_real_crop**2 + out_imag_crop**2) + + if self.outputformat == 'Magnitude': + out_concat = out_mag_crop + else: + out_concat = tf.concat([out_real_crop, out_imag_crop], axis=1) + + # [batch, :, time, n_scales]->[batch, time, n_scales, :] + single_scalogram = tf.transpose( + a=out_concat, perm=[0, 2, 3, 1]) + multi_channel_cwt.append(single_scalogram) # Get all in shape [batch, time_len, n_scales, 2*n_channels] + # or if output='Magnitude [batch, time_len, n_scales, 2*n_channels] scalograms = tf.concat(multi_channel_cwt, -1) return scalograms @@ -101,7 +105,7 @@ def __init__( trainable=False, border_crop=0, stride=1, - name="cwt"): + output='Complex'): """ Computes the complex morlet wavelets @@ -151,7 +155,6 @@ def __init__( desired size to remove border effects of the CWT. Default 0. stride: (int) The stride of the sliding window across the input. Default is 1. - name: (string) A name for the op. Default "cwt". """ # Checking @@ -159,6 +162,9 @@ def __init__( raise ValueError("lower_freq should be lower than upper_freq") if lower_freq < 0: raise ValueError("Expected positive lower_freq.") + if output not in ['Complex', 'Magnitude']: + raise ValueError("Expected output to be 'Complex' or 'Magnitude'.") + self.initial_wavelet_width = wavelet_width self.fs = fs @@ -180,39 +186,38 @@ def __init__( trainable=self.trainable, name='wavelet_width', dtype=tf.float32) - super().__init__(n_scales, border_crop, stride, name) + super().__init__(n_scales, border_crop, stride, output) def _build_wavelet_bank(self): - with tf.variable_scope("cmorlet_bank"): - # Generate the wavelets - # We will make a bigger wavelet in case the width grows - # For the size of the wavelet we use the initial width value. - # |t| < truncation_size => |k| < truncation_size * fs - truncation_size = self.scales.max() * np.sqrt(4.5 * self.initial_wavelet_width) * self.fs - one_side = int(self.size_factor * truncation_size) - kernel_size = 2 * one_side + 1 - k_array = np.arange(kernel_size, dtype=np.float32) - one_side - t_array = k_array / self.fs # Time units - # Wavelet bank shape: 1, kernel_size, 1, n_scales - wavelet_bank_real = [] - wavelet_bank_imag = [] - for scale in self.scales: - norm_constant = tf.sqrt(np.pi * self.wavelet_width) * scale * self.fs / 2.0 - scaled_t = t_array / scale - exp_term = tf.exp(-(scaled_t ** 2) / self.wavelet_width) - kernel_base = exp_term / norm_constant - kernel_real = kernel_base * np.cos(2 * np.pi * scaled_t) - kernel_imag = kernel_base * np.sin(2 * np.pi * scaled_t) - wavelet_bank_real.append(kernel_real) - wavelet_bank_imag.append(kernel_imag) - # Stack wavelets (shape = kernel_size, n_scales) - wavelet_bank_real = tf.stack(wavelet_bank_real, axis=-1) - wavelet_bank_imag = tf.stack(wavelet_bank_imag, axis=-1) - # Give it proper shape for convolutions - # -> shape: 1, kernel_size, n_scales - wavelet_bank_real = tf.expand_dims(wavelet_bank_real, axis=0) - wavelet_bank_imag = tf.expand_dims(wavelet_bank_imag, axis=0) - # -> shape: 1, kernel_size, 1, n_scales - wavelet_bank_real = tf.expand_dims(wavelet_bank_real, axis=2) - wavelet_bank_imag = tf.expand_dims(wavelet_bank_imag, axis=2) + # Generate the wavelets + # We will make a bigger wavelet in case the width grows + # For the size of the wavelet we use the initial width value. + # |t| < truncation_size => |k| < truncation_size * fs + truncation_size = self.scales.max() * np.sqrt(4.5 * self.initial_wavelet_width) * self.fs + one_side = int(self.size_factor * truncation_size) + kernel_size = 2 * one_side + 1 + k_array = np.arange(kernel_size, dtype=np.float32) - one_side + t_array = k_array / self.fs # Time units + # Wavelet bank shape: 1, kernel_size, 1, n_scales + wavelet_bank_real = [] + wavelet_bank_imag = [] + for scale in self.scales: + norm_constant = tf.sqrt(np.pi * self.wavelet_width) * scale * self.fs / 2.0 + scaled_t = t_array / scale + exp_term = tf.exp(-(scaled_t ** 2) / self.wavelet_width) + kernel_base = exp_term / norm_constant + kernel_real = kernel_base * np.cos(2 * np.pi * scaled_t) + kernel_imag = kernel_base * np.sin(2 * np.pi * scaled_t) + wavelet_bank_real.append(kernel_real) + wavelet_bank_imag.append(kernel_imag) + # Stack wavelets (shape = kernel_size, n_scales) + wavelet_bank_real = tf.stack(wavelet_bank_real, axis=-1) + wavelet_bank_imag = tf.stack(wavelet_bank_imag, axis=-1) + # Give it proper shape for convolutions + # -> shape: 1, kernel_size, n_scales + wavelet_bank_real = tf.expand_dims(wavelet_bank_real, axis=0) + wavelet_bank_imag = tf.expand_dims(wavelet_bank_imag, axis=0) + # -> shape: 1, kernel_size, 1, n_scales + wavelet_bank_real = tf.expand_dims(wavelet_bank_real, axis=2) + wavelet_bank_imag = tf.expand_dims(wavelet_bank_imag, axis=2) return wavelet_bank_real, wavelet_bank_imag diff --git a/README.md b/README.md index 045a623..6341f2b 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ A TensorFlow implementation of the Continuous Wavelet Transform obtained via the complex Morlet wavelet. Please see the demo Jupyter Notebook for usage demonstration and more implementation details. -This implementation is aimed to leverage GPU acceleration for the computation of the CWT in TensorFlow models. The morlet's wavelet width can be set as a trainable parameter if you want to adjust it via backprop. Please note that this implementation was made before TensorFlow 2, so you need TensorFlow 1 (i.e. tf 1.x). +This implementation is aimed to leverage GPU acceleration for the computation of the CWT in TensorFlow models. The morlet's wavelet width can be set as a trainable parameter if you want to adjust it via backprop. This implementation now supports TensorFlow 2. This module was used to obtain the CWT of EEG signals for the RED-CWT model, described in: diff --git a/cwt_demo.ipynb b/cwt_demo.ipynb index 293bff3..6a175a8 100644 --- a/cwt_demo.ipynb +++ b/cwt_demo.ipynb @@ -1,610 +1 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "

CWT Demo" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this demo I will show you how to use this code to compute a time-frequency decomposition of a signal (EEG in this case)." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import tensorflow as tf\n", - "\n", - "%matplotlib inline\n", - "\n", - "from cwt import ComplexMorletCWT" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we load a demo EEG signal sampled at 200 Hz, so we can compute its CWT." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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FV1JKt0Kef+3W2rQ5rxsVHsqvPr6Yqxdlc7ylj6PNhlEpLa29Vj66NIdL52WO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\nwyZddXz3JWUcfPDSgLWEnWliHQt326BvKVoPXT+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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "demo_signal = np.loadtxt(\"demo_signal.csv\")\n", - "fs = 200\n", - "\n", - "n_samples = demo_signal.size\n", - "time_axis = np.arange(0, n_samples) / fs\n", - "\n", - "plt.figure(figsize=(10, 2), dpi=80)\n", - "plt.plot(time_axis, demo_signal, linewidth=0.8)\n", - "plt.title(\"Demo EEG signal at %d Hz\" % fs)\n", - "plt.xlabel(\"Time [s]\")\n", - "plt.ylim([-2, 2])\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's compute its Continuous Wavelet Transform (CWT) using some mother wavelet $\\psi(t)$. The CWT at scale $s$ of an input signal $x(t)$ is computed by convolving $x(t)$ with a scaled version of the mother wavelet, $\\psi_s(t)$, as\n", - "$$ \\mathrm{CWT}[x](s, t) = \\int x(\\tau) \\psi^*_s(t-\\tau)d\\tau , $$\n", - "where $\\psi^*_s$ is the complex conjugate of $\\psi_s$, and\n", - "$$ \\psi_s(t) = \\frac{1}{s}\\psi\\left(\\frac{t}{s}\\right) $$\n", - "Technical note: Here we have chosen L1 normalization (normalizing by $s$) instead of L2 normalization (normalizing by $\\sqrt{s}$) because it makes more sense for time-frequency decomposition. L1 normalization allows unity filter gain at each central frequency that is associated with each scale.\n", - "\n", - "As our mother wavelet, we use the popular complex Morlet to capture both amplitude and phase information. The morlet is essentially a sinusoid with a gaussian window. In this implementation, I have chosen the following parameterization:\n", - "$$\\psi(t) = \\frac{1}{Z(\\beta)} e^{i2\\pi t} e^{-t^2/\\beta},$$\n", - "where $ Z(\\beta) = \\sqrt{\\pi \\beta} / 2 $ and $\\beta$ is a parameter that determines the wavelet width (more on its role later). In practice, we do not compute continuous integrals, but rather discrete approximations with time steps $\\Delta t = 1/f_s$, where $f_s$ is our sampling rate. Therefore, consider instead the discrete variable $k\\in\\mathbb{Z}$ that represents the discrete sampling of our signal, i.e. the $k$-th sample occurs at $t=k/f_s$. With it, we compute the discrete convolution:\n", - "$$ \\mathrm{CWT}[x](s, k) = \\sum_n x(n)\\psi^*_s(k-n) \\Delta t.$$\n", - "\n", - "By absorbing the factor $\\Delta t$ in the wavelet, the CWT can be computed by processing $x$ with a convolutional operation with kernel given by:\n", - "$$\\psi_s(k) = \\frac{2}{sf_s\\sqrt{\\pi\\beta}} \\exp\\left(i\\frac{2\\pi k}{sf_s}\\right) \\exp\\left(-\\frac{k^2}{\\beta s^2f_s^2}\\right)$$\n", - "\n", - "Theoretically, $\\psi_s$ has infinite support (it never reaches zero). But it has what we call an effective support since after some time, the wavelet is very very close to zero and we can ignore it. Specifically, we truncate the wavelet to the discrete interval $k\\in[-\\eta sf_s \\sqrt{4.5\\beta},\\ \\eta sf_s \\sqrt{4.5\\beta}]$ (we follow a three-sigma rule for this), where $\\eta \\ge 1$ is a parameter that, if you want, can be set greater than 1 to have a larger interval. Why? This implementation allows you to set $\\beta$ as trainable. If you do this, for example as part of your neural network, allowing some extra room for $\\beta$ to grow without truncation problems is a good idea. \n", - "\n", - "You can see from the truncation interval that larger scales $s$ can be associated with very large wavelets, introducing important border effects. For example, if you set $\\beta=1$, $s=1$ and $\\eta=1$, then the wavelet has a size $2\\eta s f_s \\sqrt{4.5\\beta} + 1 = 849$. We recommend to remove at least half the size of the largest wavelet at each border, in this case 424 samples, to avoid border effects.\n", - "\n", - "The complex morlet $\\psi_s(t)$ is a band-pass filter that extracts the maximum power at the frequency $f_c=1/s$. Leveraging this fact, I simplify the specification of the CWT by letting you choose the frequency range, so that scales are computed internally from the given frequency range, and they are equally spaced in a logarithmic axis (they follow a geometric progression). That is to say, the higher the frequency value, the greater the space between subsequent frequencies. This is recommended for wavelet transformations given their time-frequency trade-off.\n", - "\n", - "In summary, you need to specify:\n", - "- The wavelet width $\\beta$.\n", - "- The minimum frequency of the range, $f_{min}$ in Hz.\n", - "- The maximum frequency of the range, $f_{max}$ in Hz.\n", - "- The total number of scales, $N_{scales}$.\n", - "- Whether you want $\\beta$ to be trainable (optional, defaults to False). If True, the provided value will be the initialization value.\n", - "- The number of samples to be removed at the borders after CWT computation (optional, defaults to 0).\n", - "- The factor $\\eta$ to increase the size of the truncation interval (optional, defaults to 1).\n", - "- You can also specify a stride, but it defaults to 1.\n", - "\n", - "For this demo, let's use 32 scales between 1 Hz and 30 Hz. Since the demo signal has 1000 samples, we expect to have a scalogram of shape (32, 1000, 2), where the last axis represents the real and the imaginary parts. To start, let's set the wavelet width to $\\beta=1$.\n", - "\n", - "Note: The class ComplexMorletCWT implements the class ContinuousWaveletTransform that is also specified in the module cwt.py. If you want to implement a CWT with a different wavelet, you can do so by using the parent class ContinuousWaveletTransform taking the class ComplexMorletCWT as an example." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# Parameters CWT\n", - "lower_freq = 1\n", - "upper_freq = 30\n", - "n_scales = 32\n", - "wavelet_width = 1" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here we create our layer with the specified parameters." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:From /home/ntapia/projects/repos/cmorlet-tensorflow/cwt.py:29: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.\n", - "\n" - ] - } - ], - "source": [ - "tf.reset_default_graph()\n", - "cwt = ComplexMorletCWT(wavelet_width, fs, lower_freq, upper_freq, n_scales)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can inspect the layer's parameters. For example, take a look at the frequency axis. The numbers are in Hz." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[30. 26.88265645 24.0892406 21.58609264 19.34305042 17.33308597\n", - " 15.53197985 13.91802927 12.47178665 11.17582519 10.01452897 8.97390473\n", - " 8.04141326 7.20581834 6.45705129 5.78608972 5.18484874 4.64608358\n", - " 4.16330229 3.73068751 3.34302635 2.99564763 2.68436554 2.40542922\n", - " 2.15547758 1.93149877 1.73079393 1.55094462 1.38978371 1.24536927\n", - " 1.11596114 1. ]\n" - ] - } - ], - "source": [ - "print(cwt.frequencies)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And you can take a look at a wavelet. Let's show the 1 Hz wavelet. 1 Hz is associated with the largest scale of the frequency range." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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/8AbnFDz4FjNiwPp3nXM8ITzA1KlT8fLyIjw8nLCwMC677DIABg0axIEDBygq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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "which_scale = -1\n", - "\n", - "real_bank = cwt.real_part\n", - "imag_bank = cwt.imaginary_part\n", - "single_real_wavelet = real_bank[0, :, 0, which_scale]\n", - "single_imag_wavelet = imag_bank[0, :, 0, which_scale]\n", - "with tf.Session() as sess:\n", - " sess.run(tf.global_variables_initializer())\n", - " np_single_real_wavelet, np_single_imag_wavelet = sess.run([single_real_wavelet, single_imag_wavelet])\n", - "\n", - "single_wavelet_size = np_single_real_wavelet.size\n", - "time_axis = np.arange(0, single_wavelet_size) / fs\n", - "time_axis = time_axis - np.mean(time_axis)\n", - "\n", - "plt.figure(figsize=(10,4), dpi=80)\n", - "plt.plot(time_axis, np_single_real_wavelet, label=\"Real part\")\n", - "plt.plot(time_axis, np_single_imag_wavelet, label=\"Imaginary part\")\n", - "plt.title(\"Complex Morlet Wavelet for %1.2f Hz (%d samples)\" % (cwt.frequencies[which_scale], single_wavelet_size))\n", - "plt.legend()\n", - "plt.xlabel(\"Time [s]\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we will use the wavelets to compute the scalogram of the demo signal. The implementation supports a batch of signals with channels and dtype float32, that is, a tensor of shape (batch size, signal length, number of channels). For our demo, we need to reshape the signal to (1, signal length, 1) and change the dtype from float64 to float32." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The result has shape (1, 1000, 32, 2)\n" - ] - } - ], - "source": [ - "# reshape and change dtype\n", - "prepared_signal = demo_signal.reshape((1, -1, 1)).astype(np.float32)\n", - "# compute the scalogram with the created cwt layer\n", - "scalogram = cwt(prepared_signal)\n", - "\n", - "with tf.Session() as sess:\n", - " sess.run(tf.global_variables_initializer()) # In case it wasn't run before\n", - " np_scalogram = sess.run(scalogram)\n", - "print(\"The result has shape\", np_scalogram.shape)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's see our result. Remember that the CWT produces a complex scalogram. We can visualize the real and the imaginary parts separately, and we can also compute its magnitude." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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uyj+6KJlntxXw9elaIvw8h500+nq68pvLZvLTS6bj723f6l96pC+/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\nzhxZrWj2B7SB2CixsdFcHwxUU6EbK93FG8T1mh2faYgNTM+NdHtaZLW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6mSeZn1LkbWUe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\nBUagvRDq5J/YtYnD1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Z1hRPaAM3TsJbCHtqMPFG48HT0AA00+jMXBGUazYxY6qaNGSZFG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DaDZMys1qqhsKSOhmE8rsx0Q97EmbPQaA1GAWrWaY4W096IFRADD65BnEtudYgL1I+7rbbtv3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\n9U7WCQNi6wNn847b3IfkdWGJZ8tpv7x/v9Pl+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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "scalogram_real = np_scalogram[0, :, :, 0]\n", - "scalogram_imag = np_scalogram[0, :, :, 1]\n", - "scalogram_magn = np.sqrt(scalogram_real ** 2 + scalogram_imag ** 2)\n", - "\n", - "# useful for y-axis specs\n", - "freq_pos = np.linspace(0, 1, n_scales)\n", - "freq_val = cwt.frequencies[::-1]\n", - "idx_useful = [0, n_scales-1]\n", - "chosen_freq_val = freq_val[idx_useful]\n", - "chosen_freq_pos = freq_pos[idx_useful]\n", - "\n", - "fig, axes = plt.subplots(4, 1, figsize=(10, 7), dpi=80, sharex=True)\n", - "axes[0].plot(demo_signal, linewidth=0.8)\n", - "axes[0].set_title(\"Demo signal\")\n", - "axes[1].imshow(scalogram_real.T, interpolation=\"none\", aspect=\"auto\", extent=[0, scalogram_real.shape[0], 0, 1])\n", - "axes[1].set_title(\"Real part of scalogram\")\n", - "axes[1].set_yticks(chosen_freq_pos)\n", - "axes[1].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\n", - "axes[2].imshow(scalogram_imag.T, interpolation=\"none\", aspect=\"auto\", extent=[0, scalogram_imag.shape[0], 0, 1])\n", - "axes[2].set_title(\"Imaginary part of scalogram\")\n", - "axes[2].set_yticks(chosen_freq_pos)\n", - "axes[2].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\n", - "axes[3].imshow(scalogram_magn.T, interpolation=\"none\", aspect=\"auto\", extent=[0, scalogram_magn.shape[0], 0, 1])\n", - "axes[3].set_title(\"Magnitude of scalogram\")\n", - "axes[3].set_yticks(chosen_freq_pos)\n", - "axes[3].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\n", - "axes[3].set_xlabel(\"Time [samples]\")\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Remember that you have the option of cropping the borders, to avoid border effects for the larger wavelets. Since our largest wavelet has 849 samples, let's crop 424 samples. Therefore, now we expect a scalogram of shape (32, 152, 2). It is very small! If you want to avoid border effects, the proper approach would be to compute the CWT on a larger signal than the one you are interested in, so that after removing the borders you end up with the size you initially wanted." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The result has shape (1, 152, 32, 2)\n" - ] - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "tf.reset_default_graph()\n", - "cwt = ComplexMorletCWT(wavelet_width, fs, lower_freq, upper_freq, n_scales, border_crop=424)\n", - "scalogram = cwt(prepared_signal)\n", - "with tf.Session() as sess:\n", - " sess.run(tf.global_variables_initializer()) \n", - " np_scalogram = sess.run(scalogram)\n", - "print(\"The result has shape\", np_scalogram.shape)\n", - "\n", - "scalogram_real = np_scalogram[0, :, :, 0]\n", - "scalogram_imag = np_scalogram[0, :, :, 1]\n", - "scalogram_magn = np.sqrt(scalogram_real ** 2 + scalogram_imag ** 2)\n", - "\n", - "# useful for y-axis specs\n", - "freq_pos = np.linspace(0, 1, n_scales)\n", - "freq_val = cwt.frequencies[::-1]\n", - "idx_useful = [0, n_scales-1]\n", - "chosen_freq_val = freq_val[idx_useful]\n", - "chosen_freq_pos = freq_pos[idx_useful]\n", - "\n", - "fig, ax = plt.subplots(1, 1, figsize=(2, 1.8), dpi=80)\n", - "ax.imshow(scalogram_magn.T, interpolation=\"none\", aspect=\"auto\", extent=[0, scalogram_magn.shape[0], 0, 1])\n", - "ax.set_yticks(chosen_freq_pos)\n", - "ax.set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\n", - "ax.set_title(\"Magnitude of scalogram\")\n", - "ax.set_xlabel(\"Time [samples]\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can also compute the CWT with a stride in the time domain, to save computation. For simplicity, we do not remove borders now, and let's compute the CWT every 10 samples. We expect a scalogram of shape (32, 100, 2). Compare the result with the one obtained without stride. You can recognize the same general trends, but with lower resolution." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The result has shape (1, 100, 32, 2)\n" - ] - }, - { - "data": { - "image/png": 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WQbC6u1OJsXbFZaRRCW3gFqAnuEIIIYQQolJogSuEEEIIISqFFrhCCCGEEKJS\nbB8NLgywM9fz3o/FLyxzCsDtcZhOLic6OWY3lrKsqreI1pboozr7Yo1qd45lRONa1M58vM/qNxCt\nLbHLypk8imXbAuCnF+PyLM7k5Fl8rPoq0SYS+zUAWNsdN3jlUqLlmoqvYWOFtInpqsHtdPqTcZsa\nD788PlCLiLy6XADsK7H9VXQfAQCI5Vg2HosQvU5EiwDa08QObBcZ57vIdZolOuKEHR7TdzbW4vLm\ncnzetZOj24R5ndidET1oj+nePL5+Yw+/hNadjxGrLqKTY3Zgdir2C0ppj2sDkpGNzGvsemQrsbja\nTyb8k4gGtzEZX8PxmXj7/gTro8RYI0OBWegxy6rWgVisOUa+e4BE/xHtLPtOZNZsg0TdFKZ/J7aB\nXWIbyKysAKCzk2lwmXUZyVA3IONgnGcwrHfi+Whskc0JxKqRfVcmHO/YuwVGsggyezv2/ba2n1/z\n7Mvid4HGTycsE7cAPcEVQgghhBCVQgtcIYQQQghRKbaPRMEABFZJ2XRshdGZ5llYurNx2KBFsgox\nm5hBM36kz+y4AKC+SqyH7jgc13HwmrC8Gzu7oL+DW/n04ygDOrviYVSL3UfQWCJSh0u4n85EM7aD\n6ZFwIbOhGT8eN4plygEAPxSHT1moJm8SC5x2fN4Tx7k8gtmXDSZGk6Q0T5CQ7vFY+gEAeYt0YCoT\nV1QHuceMZFcrPiRVk9tyME5kQ+NxW53JLMCtqVh4mFl11Umo18a4TKA/H+/TI7ZHNGsekS505vmU\nz8ZarcsylhGZ03R8DsmnKcRCLFsjfm7M55BgO7gchmWPA7HDa56K56mJZlzeJPMdAGSkamYf1h+L\nj9Um1mU9Mk8AQL0T30w0wyA5jZxZPSWkdkx6lTeITd5CXN4hGQx7CYkCkyIMJth8Hh+nQzKO1nq8\n7rEj8Vw/fl9srVffHd9Lg0bcKGZ1BgCnro5lLHk9Ll/bF1+P7q540PaIhBHg8p3Je2UTJoQQQggh\nxDmjBa4QQgghhKgUWuAKIYQQQohKsX00uFkG7Nl5RnF3Z6xxWd3PNbhr+4juLZY/Uj0V06jWEmlE\ne9NEc/qEq8Py1X3x9p2FWEezsJ9rMndOrIXlK734Wh1fjC/IyslYT9Uj2mYAaC7G+rYakc6Onya6\nVpIOOCeWQAAwILo3rxMLKqKrayzHdc/cye2TmEVTa3+sX2Vazawfn1+jRXJBAsjacf/ly8Q+jGlz\nWZrgxJ/X1D6JdKv1iZarR2yHurxylsY3I/J0ln6TpiKe4nNLZ0f8WXsubi+z+6OpuNl1ArctbJJx\nm3WJ9ng6HlPWTkxsfXJxWSf+mqIAACAASURBVCp1ZnnE0n2nLAjbZCImbaqPxX3E7iRLWDfVVmKd\n74CMkbX98dzZnmffSXyc8zTBbAeyPdHspr7HmDXigLy/kDfi/uvMjpYWHUDiPEa03mJDir9SQd+h\nwR1HwuJm44qwPLskPkG2BgGAVSL9788S68y52EJyZiq+X3JirwgAqxPk7rBEbuEtQE9whRBCCCFE\npdACVwghhBBCVIptI1HwumHt0JneWKt740uwto+HtNoLcQwinyQhaxIWrC+xMFvKboNlHYnL1y6J\n2zR/eZzZ58l776J1Xz5xPCzv5HHdn5lfCMvv3BGX37eLZ4BZPhWH5uqn4/7rzRCbpNm4jpxYtgHA\n2n4STpuKr23WiutmcgNWDnCbJBsQ+5gxZhsVX6dsjksU6sy6iVlsORn/JDzlJEtV8WFcXOuMliUu\nG8SSjVorYeVzmljMkaw7YyfikF3tVGz9k89zezQmh2H2Pz1yKGZtlPHEdTSMz6QZg3Eyzhsk+1Iv\nkTVvMc5+xrLgsexjyEl8eMDjxk6y+bERYp34nqyTZGnWJlkEAeR3fTYsb5DMXY2ZeK7tkvmuy5VX\n6JNb38mlZfIgZn9oi4kMjcSSrrEWV8LmtQGRLjhXu1GZDpU1kIFA76WE81VnIa4kf0osMezOku+3\naTIfzPJr3t8TN3h6Ryw9XJiO56+5ZjzftUlmNwA4msX9utIifqVbhJ7gCiGEEEKISqEFrhBCCCGE\nqBTbR6JQMyweOjO8s3aAZOsgj/MBYGyOZMPK4mO1V+OwxKA7ejaS7gxp727iinBpHDf7yv2fDsuf\nOP0ZWvd8LQ5ZnB7EcdKMxJkz8pruZIO/dnt8Kq5jeWcsXWgdINITln2mwUOY4xNxu6ZI2GV5JY79\nrfRIlp6MZ1li4XIWBmPqFiaDYO4KAGAkrJvViLSGhHrBpAjsjXcAWS+uu74Wxx6bcYQbOcm2VY+j\ncgCAiRNxu8ZOxOdXPx67YOTHToTlNpF6xTuGhVxpKJa9Cp9yExhxTOV1IqeYisPozV0kFSKAbILc\nG834WE7Ow8hY8wk+zrPGrnifjJw4k0cwEttnV14elvdnyPUg15w7AyRbFh+KPfYasY5URs7Je2PZ\nRuO+2MXHictNcyH+XuhPcY0ClQGxcpLBkN57CdeMDnEKYuW9WImGLvnKYBkdAcCI6w/7Pmb0yQBJ\nHadRIxklxxKWE1uAnuAKIYQQQohKoQWuEEIIIYSoFFrgCiGEEEKISrFtNLh5DVi97EyNSP9ArAXa\nvYtnl5oZi/dZ7sQ6odZyXD5GbMIm701YfUwQe5AdcflEg1iD1OJz6CX8VT7bOzMTHADc2d4Tl6/E\ndmDHW3G6lXZ/9OG4cybWBU/vjHWzO8Zj8eWeMd7fs3WSuYWIE+/txAKpOxfi63H0Uq7BXTpJMpAt\nxmOnsRy3aexUfHzLeX/XWrFWNCPZl3wl7gvk8Xi2hDax3o41iA2iwXWiC2bDmWVSAoDGKhEVEs3w\ngNjb5fvifu3Ocw1ul2SeYufBLLxArJDIbQ+AZzKrEWk103X3ZuJ+zevcBrBG/M6MaLGNjSmSVQuJ\nuYVlP6P2fUTnmzdY3/HnSHmT2F8RW6w+sWbLyHmTqauA6Jhz9voJkUuycVNvJzT23fges1Y8QFkW\nvLF+3KgmyXRXVE6uObHg7BNrtv4ESwXHq2b6XJapLSdjh93HdWKXCAB9i+edpVY8uSwTe8fmeDxA\najWup+2RrIdg2eO2CD3BFUIIIYQQlUILXCGEEEIIUSm2jUQBNUdv95mP1hd2roSb75vmIWtmf3W6\nFYdVbSW+zNNH4uPsee/dtO7uod1heW8qDifctyvOFPKR8UvC8sNrsWUOANy7Fh/ryAOxdCG/n4SZ\niTQjRX+ShId3xuGS+YW4X3eNx2H0y8ZP0rofNR5nG9qVxcdqexzSOjIfX6eP7bmU1v3R03FGo88c\nj/tp7f7YVyavx2Eo6/O+qK/F47a2EssmatMkrRaxG/NR7ZYA1HokHJqQHEQ0WjycVicShVorHmss\nBN0joc3OPJeF9IktELNuYtmUWAizscKvU3OZWLONeG1ZJiwmXQCAPpEJZKS/s07c1hopz3rcL8uJ\n3IHKXkj4m8kNmHShqIN+FMIy+bHMYLVOKismk0fE27MxaCzTHbHdAoD2HhL+ntgbltdWYokCy/SY\nnSC+gQB8NZ63G8SKsj4XS+rysfj+NpZND4C1iBUmmQu7e+I2tVaIFd9pPtaY7IWNT5YdtT8VD5AO\nT4oJr5HMdV1JFIQQQgghhDhntMAVQgghhBCVQgtcIYQQQghRKbaNBtcMGJs5U5g2P9EKt59tcH8V\nZg811YwFcadm4/KlK2ItS++bD9K6mT6qu5PofvL4b5i7Tu2Ij9PjQ6J9PBbZTB2O99l5eyzOmr49\nTmGaYu2KOM3n4hWx9cnyofj8biXnN1ZjfkvA7nqsx75kLE4reaAej6kD7DgN4uEFYKER7zNZvyIs\n/7jtC8vbg1hHliU0uNkgvlZei3Vhjbl4cBqx8mFaRgDoTxA7MGJtxDSIzEarscw1mc1jsUbPjxwN\ny2s747GZT8S2cJYnLKvIbZwR6R5Lk9okWtuJE3ycj98fj9tsOZ4LnaQc7s3H2vtU+lRmk0TT5ZJy\nZh+Wtfl5G9HnUq0tsZOij4sSEmZmUZZ14jZlnfg82D1G2wqgNxv3X3cm7ieespZZXHF9ZW+KCXrj\n9jbIfd8g9mhG3jkoPiTa6j65tqvxfVFbI2uENvfiy0/H3xk2E1voMUPBrBPfYxPH+HmzsQZyDQfj\n8bHau+I+ahOrUgDoT5JrfoEfseoJrhBCCCGEqBRa4AohhBBCiEqxjSQKjsnxM+N8c804/LB3jNuM\nsMxWD5s6HpYv7YrDCcevjMPGK32iQwDQJ5IDxoBsv9QlWddI9ioAsG58LCORjy4JQ7UvizM8ZV1u\nr8JgtkdjJ+NwydpU7MP0kbH9tI46iRt3Z+Pb51DjWFg+TjydmK0YADRIDHqOSGimJ+LwWGs6HoPM\nygoAuqvxNay3SDalXhzSYpZVqRAmC3uOHNIiVaSsm/pz8bXKroylQ72JeBz0pllGL1o1DWdTCQaR\nLrAsUrWEPVq2SjrqeGyhlxFbuDrrV+Pz2mCM2NgRyUGtRazciJwiZRvFwsbZTDw/2yyR+0zG50cz\nooFLC2yVhL9PxW3NF+Pzq++LbbcAwHbH0hobkPHPpAvEfiplgcY+YzIItlTJ67Fsrj7J57VsZ2x3\nyaQqYLZfLOQ/lvgO3RHX7TUiyWrE5VkrllPUT8frGQCwU/EYGZyMJXLN/fHYqbdiu8t6h593h4yd\nnHfTlqAnuEIIIYQQolJogSuEEEIIISqFFrhCCCGEEKJSbCsN7kRg48W0jPuIBRQAXDV2f7xPLd5n\nhgjlGkTb2UsIDVdJHsxjg9hm5HA3Tu37idU4BezH6rHNFADcQ+zR1vJYs5WTVJd9oo9qLnM/HWN2\nMGQXpvusL8VaoFMnY10dAHw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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "tf.reset_default_graph()\n", - "cwt = ComplexMorletCWT(wavelet_width, fs, lower_freq, upper_freq, n_scales, border_crop=0, stride=10)\n", - "scalogram = cwt(prepared_signal)\n", - "with tf.Session() as sess:\n", - " sess.run(tf.global_variables_initializer()) \n", - " np_scalogram = sess.run(scalogram)\n", - "print(\"The result has shape\", np_scalogram.shape)\n", - "\n", - "scalogram_real = np_scalogram[0, :, :, 0]\n", - "scalogram_imag = np_scalogram[0, :, :, 1]\n", - "scalogram_magn = np.sqrt(scalogram_real ** 2 + scalogram_imag ** 2)\n", - "\n", - "# useful for y-axis specs\n", - "freq_pos = np.linspace(0, 1, n_scales)\n", - "freq_val = cwt.frequencies[::-1]\n", - "idx_useful = [0, n_scales-1]\n", - "chosen_freq_val = freq_val[idx_useful]\n", - "chosen_freq_pos = freq_pos[idx_useful]\n", - "\n", - "fig, ax = plt.subplots(1, 1, figsize=(10, 1.8), dpi=80)\n", - "ax.imshow(scalogram_magn.T, interpolation=\"none\", aspect=\"auto\", extent=[0, scalogram_magn.shape[0], 0, 1])\n", - "ax.set_yticks(chosen_freq_pos)\n", - "ax.set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\n", - "ax.set_title(\"Magnitude of scalogram\")\n", - "ax.set_xlabel(\"Time [samples]\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, you can experiment with different wavelet widths to see the effect of the time-frequency trade-off. In general, increasing $\\beta$ allows you to have better frequency localization, but you loose temporal localization." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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qxj4bWw2GqAAP1syKtPwe6u1GeX2zpV5kSaKa6ZG+HC+sZUdmJZ8cLbbr/UeL\nzghGJ6umBLPXStSwP8Z7qm6eVs/cZ7ax7sjYd9hlanQEeLpYFStJUKs4N4BCb0VR0NQ3E2LFETEh\n2IucCv2oi4fUGtrQDFA5UtPQTFgvYi62MjvGn8MF1X1+/uxKHYlBNkYwxriS1CVjYDg4CJwdHUgO\n92HHE8uGHOK/kKVJ6n5DX7ZSpW8lsA9L+aqpoXxx8rz13V/9xUAZzwvLrqSXNTAp1Luboebu4kig\nyoVrU8O6deV88qpJqFydbM6RVhSFP3+TSV1TG5FD/NuH+bhRpW+164SaXaFnxcQgvu7FW6IoCofy\nq5kUYj16AVjke0d7MrDGJ0eLuf2Ng72G7jUNzXx6rIR1R4q5aUaEZbuHiymS0bU4blNaOTdM6+m5\nA/j+jAie/TaTZ29M4d39BXxytIRXd+X1MMC/OFHaTXzhXKWexODzXqhlSWq2D1NDzuHksf8c5/FV\nE7h+WjgZmgaKqhuH/Lx3sigxkP251VaL7vsiS6Pj4WXxvPPDOQR5uRHu695vbvQtsyO5dXYUP1s1\nge2ZlT1qPwqq+25sZQ9Cfd0or29iw8kyThbV8fiqCSxNUrMrW8sbe/LYPYhF+FhEU2+qwehkUqg3\nmQP0gOdp9Sx6dvuY7/reFy/vyOWnl0/g/TGeHpmn1bM/t5pZMX5W9yeYm0bqmttsmgsqdab0bmsZ\nFc6ODoT7uY+6xGrtIPodlV/wXA8GLzdn1CpXSxPOdUeKeGbTeXU5RVEoq2vqVZWyK7FdevOMVS4Z\nA8PZ8fzDbq8JsivJYT7kV3VPXRosFQ3NqL16f5AXJQSSpdFRrW8BsOukD+YXinb8d/Y+UVTLzOie\nL8075kZzbWrP+ptpkb6cKKrr9yXa3mHkeFEt2zIq+NmqpCGPUwjB1HAfuyquZFXoWDkpiLqmNqu1\nQQdyq/nJRydJuaCh2IXjCvZ2o6KhxW7jsheb0zU0tXX0WrzbaWC9cucMfC6oTera00BRFLZlVrBy\nYrDV61yZHML6RxZy08wIHlmWwENL44gNNNVodHKmtJ5frU/jfz87n2teUN29V8LSCWp252jHpLHW\nG4qiUFzbyNVTQ5kU6kVmuY5COzozPFycSInw4ZszmgH1ocnU6HpNh+oNIQSPLk/gR4vjUHu58uzm\nzG77TxTVWeQ0h4swH3c09c1szajg0eUJqFydWJKoZv2JUvKrDGM+3cFWSuuaLClSAJNDTU0Hc7V6\nmz/jh4eKaG03sm8QBcZjAUVROJhXzd0LoqnStQ7YiB5JnvjkFH/dYkoZtkZCkIoPDxUx54/beGtv\nPi/vONfn9XK1+l6FEmBspI3s+eUAACAASURBVEnVNbYOKIKhKAoNTW14udrWaK8vrksNY/2JUhRF\n4fnNWd1EezrrPKxlr1xItP/Y7+Z9yRgY7s5DfzD6wsFBMDnMm+yKoS/Mi2oaifDr3YJ1cBBMj/Kz\neIWKa+1rYMSrPcd9cS9AprnJz4XcvySOCCtpHjOi/Vj70Qk29yMn+dnxEm569QB3zI3iOis5q4Ph\n3kWx/b64B0K2xqREsTwpiE/NRfuKopBjfj7351bzhxuSuXNuVJ/XiRsjXpJaQys/ePswiqKgKAoZ\n5TrWrkzkGyuKamfLGnh3Xz5zY/1ZEN+z1iol3McSbSyta8Lfw6WHEdJJZ9QT4KaZEdw1P4ZQXzcO\n5FZZelz893AR/3dDMmV1TRYp5MqGlm7eLl8PF9Qq10Fpyo8W1YZW/M0SzDEBJtnV44W1TA2330L8\nF6sn8uv1aTz4/jGbjq/UNZNV0WBVbtsWHB0Ez9+cws5MLRnlDdQ1tnLr6wf4+nQ5SxLtW5d3Ib4e\nzlTpWzheWGvxFkf6exCocuUvN6eO2WjhQKg1tOLu4oib8/lC+CAvV7S6Fm5+9QB/t0FFB0wF8D9f\nPdEm9a+xSHaFngg/dzxcnIgJ9OBMWQMbT9m3V5Y9KK1roqyumcbWDst77kLi1J48tDSeZ29K4bnN\nWby+O69Pg6m3Au9OUiN87ZZOPlhqG9vQ6lr6rFEELJFqXUs7Xm5OdmlrcN20cL46XW6uVXLHyVFQ\n39RGpa6Zktomq2sTazg5OuDl5jSm63wuGQOjawRjuOgMJQ6VtNL6fifxzgkfsGteNJjyz8fTQqg3\nMjUNTOwjBehCrp4ayu+vm9KvotPh/Fp+e/Vkbp3T9+J8IMyJ9ae8vsluaVJnyxtICvFi7cpE3t2f\nT1ldE0U1jaz++x6yNDoO5plUk/p7YY6VZ+F4US27s7Wcq9RTXt9MgMqFxQmBNDS38fKOc90WZt+c\nKWdHlrZXL/ePlsTx8bFiqvQtpJc1MHmAnuswH3ee25zFzz89haIoHC2oZXGimhtnRli6slfqmi0N\nLTuZE+vP8cLRL3C0lYIqA7GBpveKk1m2+ERRrVWjfbDEBnpy9DeXU17fZNPi+v0DhdwxN9omJafe\ncHVy5JHl8by1N58Xt2YToHIlOsCDIDsVr/eGEIIqfStzY/27LcA3PLqQhQmB+Lq7UGtHJcLRIFOj\nY+IFTQiFELx192y2/nQJB3Or+bwflcLmtg4aWztYnBBoF4fdSNFZewCw91wVi8xCMhNDvLn77cP8\nan3amOpbUGto5d19+dy7KIYX1qT26tR0dXLk8csnsCxJjaIoRPq796kElddLgXcnKRE+pI2ygVHX\n2EqgypUqfe/R+fwqA0uf30FDcxua+qHXX3Ti7+lCUogX644UExXgwaRQbz44WMiS53ZwKL+GyD6c\nyxdiyjYZ/fm5N8algSGESBRC7BdCZAshDgsheq/wG0ESg1R26YdxuqSO1Mh+DIxADwqqDKauj9V9\nRzwGSlTA2A+99UeHUemmZmILTo4OLE8K6lfZ5kRRLd+fEd5tkWAP4gLts5iv1rfg4uSAl5sz/p4u\n/M/KCTyzKYPTJfXEBHjwuw1nqNK3EGdDzrm1oujR4HhRLfFqT7ZmVJBdYUqRcXJ04O17ZnOkoIaX\ntp+P/mRqdPz91mndOtJ2xdvNmauSQ9mcriG9tJ7k8IF5w0N93dA1t6NrbmdTmilVS+3laureXG36\nTja1dXTTk4exkRrQF//aeY5VL+6yePXyqwzdJJivSQllWpTvgJSUbMHFyYEQH3fK6vtOWegwKmw4\nWcbNMyP6PM4WrpoayuH8GjanV/DMDVP56IF5Q76mLfzjtuk8dd2Ubts60yGiAzwoGOdpUhnlprq3\nC5ka4UOAypW5cQH8bkN6n4psnfVLkWad//ES1fn0WAkr/rqTx9edZEu6hoXm988P5kfz/n1zWDkx\naEw1Hnzw/WNsOFnGHXOj+f6MiH6dTd5uzux4YhnXpoRxouj8e6yw2sBft2RxvKiWlvYOjhTU9Okg\njfL3oNiGhnPDSW1jGxNDvSnro+Yyp0JHU2sH/9qRy0eHiwecltkXN86I4K09+UT7e7A0Uc3fv8th\n6QQ1f92SZXMEA2BKmLfdBWLsybg0MIDXgNcVRZkAPAe8NcrjAewTwTAaFfKrDMT2EWKETgUBA2fL\nG4gK8LDrYldttuzHy4v9QvKrDPx2wxlmRg+8U3uEn3ufBdfV+hYcHYTVLsZDJdFOEbDTpabmXp3c\nMD2c0yX17MzS8uDSeIpqGrkmJcymv83EEC/OlpskJts6jKOmLnaiqI57F8WSVlJPcW0T0eaUQJWr\nE/+6YwYbTpZajLOcCh0rJwX3uRC+JiWMT46WsPdcVbe/lS2E+bjj5+HMszem8Kv1aUyNME2mpqhi\nI7qWdlRWcnVTInxJKx1dz11ffHiwiEg/D3ZmmdJS0krrLT0cwJQ7/PLtM4bl3hOCVP16q/fnVjEx\nxIsAVc/+QAPF2dGBW2ZHEuHnjo+Hs11SH2zhutSwXt8dsYGe47oOQ1PfzLv7C7h8svV6JoAXb5nG\n8olBnC6pR6uz7j0+U1rPpFBvHB0EAZ6uvR43lmhu6+CfO87xzU8WE6f25Gx5AynmRXacWkVKhC/L\nkoL48mQZnx0rGdTcajQqvLMv327zcmldE3t/ucIi4W0LEX4exAZ6kt/lOf38eCmfHSvhdxvOcP0/\n9+Ho4NBnbygnRwc8XBxpGIDst71pbTcyPdKXM328j/OqDDy8LJ4NJ0sprm3kF6uHXm/ZyfKJahwd\nBdEBHqyZHcnGHy/iH7dNR+XqNCBn8cpJwWxJr7DbuOzNuDMwhBBBwAzgA/Omz4BYIUTMaI2pkxiz\nB3Mo5Jm9hn21ie+8V67WwNazFVw+OWRI97wQIQT+ni7c/c4R/rI5y67XHgme+zaTAE8XXlgzbcDn\nCiFIDvfudSF4rNB64bg9mBDsZZeUgOOFtUyLOr9odnQQ3DI7kvUnSpgZ7cefvj+VH8yPtulacYEq\nCqsNHM6v4Y9fZ/CP7bblUA8VRVHYna21FKjnVxm4KjnU0s+gqwqch4sTa1cm8vuNZ6lrbMWoYHWB\n35WpET6E+7nj7+nSa+5xbyQEqbhsUjCpkb6se3Aev7jCNPEEqlyo1rdQ2dBstVdEqI8bVbqWMamM\nU2toxcPFkTWzI9l6toLG1na2ZVSyqsu7RYjhMazB1Ecos7z3Z19RFD49VsLNXWRfh8p9i2IH9Y4Y\nLqLHQeOsvjhSUMPKSUH9enpnRPlyrLCWVS/uYsPJ7r0IGlvbeX13HtebVd0mBKvIrhi7KSCdvH+g\nkMsmBRMd4MljKxL57vGlPRwc16SY3l+/Wp/GiUF4nbdnVvL7jWcHJe18IR1GBaOi4OI08CVgbKCn\npf4MTIIbnz68gK9+vJifrUri8csnDPgaI0lnG4DZMf4cKailsbXdai+aPK2eKWE+rH9kIf+6Y8aQ\n0jIvxNXJkZ+tSmKOuV1CUogXrk6OvHLnDBYNoBZsYogXFbpmuzZ5tifjzsAAIoEyRVHaARSTOV8E\n2C8hfpB4uToNWUUqrbSO1Ij+Fzw+7s74uDvzwcEirppqXwMDTGHMan0Lnx4bX129O4wKJ4vreGxF\nwqCjOjOieu/sfayolhnDZGDEB3naRR54R1YlyyZ078j66PIEzj69mni1imVJQTbnmzs4CCaGeHPn\nW4f494GCEZsUvjxVxv3vHeXLU6VU61vwdnPGz9OFNqORLI2uRxj5utQwwn3defiD48yy8d/nhTWp\nvHTbwD3ykf4ePH9zKmDKr+701nWqbqWV1ls1MIQQJIV4Dbhp1UiQqdGRFOLFlDCTpOjmdA3LJ6oH\n5N0cCqmRvfeC+ep0Gbe9cZBTxXUsS1JbPWYwuDk72l2ufCjEjPEUqfvfO0pJH6kthdWGbr1kemN+\nfAAfHS7C292ZN/Z079Oz9WwF8+IDLLVzk8O8rTZGHCqnS+o4Z6fGuIqi8PHRYn60ONayzdr338nR\ngc8fWcAz35s64CZvre1G/rYtm4eWxrPuyND7pZhqxAYXCYzsol5U2dCMomCpT7h8cjBLJ/T/HY0N\nPF9DOlKcKKrlu7MVfJ1WTqDKhelRvuw7V8Xyv+zkIyvNhXPNzVJDfNxwtnNaKMBd86J7fF9mRvt3\nk8/vD5ND1MeSZTDWGI8GBsCFMcIe7n4hxONCiJLOH71++L0gQph6bQzFQ3mquJ6pNqZsXD8tjMlh\n3oT62K/+opMpYT7cOS8aD1dH6pvGpnV8IUajwgcHC0kM9hqSt2FmtB/7c6u5661D5FToUBSFb9LK\nMRpNzcZsXcAOlEi/oeemanUttLQZraqKDdbgWjMrkrfunsUXjyykqMa2PiFDZVeWlnsWxrDvXLWp\naZ05VWdCkBcHcqt7SKUKIXhoaRwH8qpZ1qWxXl+4Ojn2qJMYKolBKrZlVPZa+5MyBhRUrJGlaWBi\niBfhviYp1S9PlnFtin0U0mwhOczHatTwjd15rDtSTKWuhZ9fMXFYJvqxQnTg2GuclaXR0djaTnFN\nI1vPVnST1LyQgurGPlNjOkkK9sLZyYErk0PR6rqn4n59upxrUs5LiCeH+7A9s5I/fn3WrqlS7x0o\n5AdvHbbLNTM1Ovw8XGyah92cHVkyQc2RgoFFIT4/XsLUcB/WrkzgUH6NTWlSiqLwp28yLOuRfeeq\nuP2Ng1Q2NFNWN/iiZTdnR4QwKX394esM5sb5D/gaCUGqAfdG6Y26xtZ+ozrNbR3c+Mp+frU+jSc+\nOcXlk4PxdHXivfvm8NPLJnSrKQFTmq2uuc2u4jnDRacM9GAoqDLw5Oen7Tyi84zHt3UxECGEcAIQ\npuTZSExRDAuKorygKEpE549K1X/rdXsQqHKlWj942bCcyp4qHL1x17xoXrpt+qDv1RdrVyZw25wo\n4gJVI+5pGCxPfp7G4fwanr1x6pCuMyPKD31zG4fza9hytoJPjpXwk49O8ubePOqb2mzy0g0GtdfQ\n843ztHomWimyHApXp4SyOFFNSoQP1SNQm2NqAljDQ0viOVVSx5myBhKDTN/fn69OYsmEQKuNKKMD\nPHlwSRxLE+3n5R4oSSFebDlbQUovUciUCB9Oj8FC77wqA/FqFUIIovw9KK9vZnbMwBcOg8XdxZEA\nlQsvbs22qAzlafX8ZUsWB3Kr2fjYIq5O6dm75mIi1NuN8romS3+j/uiUbB5OfvHpKb48WcbmdA1X\nmxu8ni1rsFqjVlhtINYGA0MIwYNL4rkyOYQgr/N9djanayivb2ZOl+duSpipP9DRwlr+uiWLb9Ks\nNw4dKPlVBm6dE8VPPjox5L9helkDM3tpUmcNtZcruuZ29C3tFgnwX69P49fr03o951hhLZdPDsbD\nxYlwP3ebavW2nK3gtV15ZJhTD79OK8fJ0YEXv8umvL5pSI7J61LDePD9YxzIrWauOc1nIMyJDbAo\n7g2F329MZ8Vfd/HUl+ms/ttui4rXheRq9WYxCTcWxAdy/bRwwPR8XTElpJv4htGo8PRXZ/nJygk2\n9aMYbSaFeg3awNiZVdlD7dCejDsDQ1GUSuAEcKd5041AgaIoBaM2qC70J33WHxUX6Of3hZOjAz7u\ntofTBkJn0WOc2pP8qrGfA6soCnvPVfHXNalDjug4OAheuXMm79wzm2/OlPPqzlw+vH8ub+7JZ+XE\noGErCBVC4OnqNKTiN01DM8GDDH33R2dtTo2ddbf3navib99lA7A9s4JnNmUQG+iJn6cLy5LUvLAl\ny9IIb2KIN2/ePbvXf4Mnr5rUa0+LkSApxIvWdiOpvTQwnBrhM2YiGF3zdgu7eJ8fWR7P63fNGvHJ\n9bmbUiioNvCROQVkw8kyfrZqAs/fnDJiqVqjiYOD4PHLJ/CbL870e2x7h5G73jrMl116K9jbEVSl\nbyFDo2NfbjVfnCzl8VUTiA1UcfVLe9h6tmdhaUltE2G+ts1dt8+NIjXSl9hAT/LM88tbe/N59saU\nbrULPu7OPLgkjtfvmsUXJ0t5+MPjNo+/vcPI3pwqFEXhr2ZDdXtmBfVNbZTWNvHo8gQcHQR7hthB\nvWKAaoVgyp2/4sXdrHntAJr6Zjana/pUmDtVUkeKObPhiikh/PtAgWWftV4O+pZ2nv0mk2tTwzhR\nVIvRqLA3p4oX1qRyILeabRmVRA8hPfCJVUl8vXYRX69dxOrkgadoxwR4UKlrGZJoSF1jK1vPVnDg\nyRV8vXYRV0wJ4ctT1lPPsit03DUvmvfvncu/753TLcLv5+lCh1GxKJvtytbi6uQwLKnnw0FyuA/H\nimoHZSjvzNbaNe30QsadgWHmQeBBIUQ28L/AfaM8HgtqL5cheaF1zfbpFmkvogM8xkXhYVFNI2ov\nV7upaQV7uzE/PoDJod5MCPZidow/3/xkMY+tSLTL9Xsj0s+DkiGkIVU0NNtsoA6GTulIe/La7jz+\nvb+A7Aodnx0v5Z19Bdy/JA6Ah5bG89DSeItS01hnUqg3oT5uhPRS4xLk5Ya+pZ2m1tEt9H5pWw4r\nX9hlmZSKuhTOL0sKGpXahIkh3ry4ZhqF1QbaO4xkahqYGe3H96YPXZZ2vLBmViSZGl2/nc2/y6ig\nqKaR7eaGkfWNbVz70t4+FxlGY/eIR1+FofqWdn667iR3zo1mT44WVydH4tUq/vz9qfzm6sk9atQK\nqw0EebkOWMLY1MjTQH1TG+X1TVZ7rDx51STUXq788YapeLg42twV+7cbznDPO4d5Z18BxwpreW5z\nJo/95wQfHynGy80JRwfBfYti+fjo0Goayuubev2+98bcOH++Nz2cmdF+vL47j5UTg3tdNxha2mlu\nMxJoVk/7wfxoDuXVUFzTSGldE9Of3sKmCyI77x8o5IrkEG6ZFcmJojo+PFzEtEhfAlWu3Lc4jm0Z\nFdwwPXxwHxiTMRynVhHs7davII01hBDMjPbrkZo0EL45o+GqqaG4OjkihOD6aWF8nWY9hS+7Qk9S\niHevzqeEoPOZGgfyqrliSsiIKcsNlSAvN6L9PTiQO7CIkNGokFHeYDFch4NxaWAoipKlKMp8RVEm\nKIoyS1GU9NEeUyfqIUQwDC3teLjYp1ukvRjK5xkpmlo7ePLzNBbEDzxU2xdCCJ69MYW/32ZSmglQ\nuQ5bxKiTSH/3IdVhaOpbrBYY2otgb1dLSsNgOVZYa5lMG5rbKKgy8MqdM7n/vaMcK6hl/5MrLIWC\n0QGe/Hjl8Bp19iTY241Naxf3+R2eHOrN2fLRjWKsO1pMqI8b5yr1tHcYaW7r6Fd5ayRwcBAkBnmR\nXaEnu0JvV+358YCDg+DaFFOPlr44mFfDI8viOZJfg9GokKlpQN/Sjtb8rrZmaPx9Ww4Pf3Cc9g4j\nhdUG5jzzXa99d/66JYvUCF9+e80kvvrxIv597xwAPF2duGJKMMcv6BW0J6eKxYNITYxTq8jTGjiU\nV82CuMA+vzc3zowgIUhFtQ0R1PYOIzuztFydEspft2Txq6smsf6Rhbx8xwzeP1hIgjnlcn58AMcK\na4fUDVlT3zzgqPkDS+J54ookrk4J4/2DBcyM8cPDxbpITHaFSYChE2dHB65LDePbMxpe35XLPQti\nePbbTIrNjp+2DiMfHSnihwtimBntx/GiWl7blcvvrjW1C7t1diSfPLRg2Oey/kiN8LVEbUrrmnjk\nw2MDOn97ZiWXTToviRynVlFraLXaYyVbo+smuX0hsYHnBVYO5VUzL86+a4nh5v4lcTy3OavfzuRd\n6WzQPBgD0VbGpYExlgn0cqVqkDUYlbqWQSs7DBcBKle7p8TYm6wKHY7m9AJ7I4Swqzxdf4R4u/Xr\nveyL4Y5gBHm5WRYxg+FcpY573z0vf3yuUs+kUC/mxQVw6+wo/D1dhjUndCTw8+xbyjU1cnQLvesa\nW3F1cmB5kpqDedXsytbarUutPZgT68/2zArajcYBKapcLEyP9uvxfBRWG3jw/aNsPFVGU2sHh/Nr\nWJqkZnq0H1+eKiPLLG9dUNXI/352mu+/sr/b+YqisPFUGZ6uTvzw3SP84asM5scH8N7+gh73b+8w\n8u0ZDT9emYAQggg/j27GZ7ivOw1Nbd1qRfbmVA1IXrOTOHOKVJZGxxQbGl6qVbbVqZ0srmNyqDcL\n4gPwdndmSpjp2rNj/KnUNfPQ0njAJPRwy+xIrvjbbsrrBxc5Lq9vJthncPP2dalhvHbXTK6YHEKE\nnzultT3HkFOh77E4vnJqKP89XMT2rEoeWZ7AXfOiLZK/m9M1TI/0JcjbDXcXRx5dnsCPFsVaIiDO\njg7dDJbRIjXSx6Icd7ywlk1pmj47hHelqbWDM6X1zIjq7n03GVQ9r5FTqbcYldaIDVSRV2Xg46PF\nODoIuzYuHgkWxAcS6uPGzqxKjDYaGellDZbvxXAhDQw7Y+sL0Bqaeuv6+aNJgKfLkIrWbaW+sY2n\nvkynobltQFY4QH6Vnkmh3nbvMDwaBHm5Dfr5eX13Ll+nlRM8jAv0IC9XtEMwgD48VMQvVidxqqSO\njafKTApR5hf/fYti+eftwyNaMJaYGj66dRgZ5TomhXpz3bQwXt6Ry9++y+F/Lhs7UaIVE4N4c2/+\nsIbuxzJTw31I6/J8KIrCT9edZEF8IBtOlvLA+0dpNxoJ9XHnF1ck8Y9tOWSUNzAhWEWuVs/OLC3t\nHYqlgPidffnMeWYbUyN8+OuaVGICPKltbOVfd8zgu4zKbh7fs2UNXPPSXqaE+fTqWBFCsDo51JKW\n095h5FRJHTOiBq6u19kPIbtST2JQ/4veIG9XKnW9v3+MRoVHPzzOUxvTuXlWBCsnBfPbayZbIiMq\nVycOPXlZtxqp/7lsAj9emcjru/N6u2yfVOtbCfQcvGNwxcRgfDycCfd1p7SuZ/Q6p1LX42+TEKTi\n0eUJPLEqCTdnRxYlBrLfnCLz8dES7pofYzn2tjlR3LMwlrHGlDAf0ssaUBSF9LIGFsQHWAQeLqSi\noZk9OVrL71+eKuXyyT2bqc6O8e9RPG5oacdBmPol9YYpVU/P23vzefmOGWMqi8RWrp8Wzq/Xn+HO\ntw7ZVI+RXlbPlLDhTT0e/yuyMUagl6vNHt6zZQ00tp4PiVbqhtf7PBgCVC5UG4Y3Rerr0+Xc8+5h\nNpwsZeGft/Ojfx8ZUMFSvtZA3DApO400am9XKgeRgtRhVPj3/kLANAkPF8HeblR2MYDSSupt7o3R\n1mFkS3oF16SE8d59c/jzN5mkl9ZbDAwXJwfi1COj9jaamAyM0VOSOlVSx+QwbxKCvPj4wfmse3De\noNJbhospYd5MDffhf1dPHO2hjAqBKlca29ot6TJHCmrxdHXi7gUxvHzHDM6WNbDG3HAwOsCTCcFe\nbMuo5MYZEezO1hLl78EN08P5+KhpsfZNmoZ1D8zj77eajPenrpvCe/fOwcPFiSuTQ9h46nz+/len\ny3BxcuB7/eTnXz8tzFJgftrceXswTds8XZ1o61BIv6BrfG/058D7Kq2chuY2FiequWJKCIEqV66a\n2l19zFoe/vy4gD4bPfZGS3sHTo7CLoIIk8O8OZjXU241u0JPopW/zY0zIyxqSBOCvCioMqBvaSdb\no2NaLyITYwk3Z0ci/d3J1OhIL6vnsRUJ7M7WWp3739lXwIPvH7Ok5n1ytITb5/ZsfbY4MZBd2dpu\n23Iq9ST2k2qZGKTiRFEdLe3GYZH9HwmWTlAT5utGu1Hp8TewRq72vPz7cCENDDsTqHKlqh8PdENz\nG20dRp76Mp1XduZatlc0DL75zXChskPzwP54ecc5rpgSwldrF/PZwwuoaWyjeACFzrlVtjV4Gg+o\nVbYbqF05UlDD5DBvcp+5ym6F7tZQe7laDIzimkbuePMgv99oWwnUFydKWRAfgI+7M0FebiyfqOaj\nI8U2eS4vJi5ULRlJ2jqMrDtSbFmYRAV49OnZGw2EELx/31yrvVwuFRYlBLIzy1TAve9cFasmm3LN\nXZ0cef0Hs7htzvnF1a+umsQHP5rL8olBbMusJD5IxS2zI9l4qoxaQyuFNQZiusjHOjoIiyrXwsTA\nbgXb2zIqee2umf1KAk8M8aKhqZ0nP0/j2zMaFiUMPD2qk4QgFYbWdgJU/c99am9ThLe0rvv8oNW1\n8O2ZcrZlVPDgknh+uXrigLzQEX7uPa5pC6W1TYTbKb3wxhkRfH26vNt829TaQU6Frs/0HjDV7kyP\n9uO9AwVMCvUa1rx6e7I8KYhNaeXkaQ3MjvEnyMuNUxdEdxVF4Zsz5TywJI5dWVqa2zooq2siyYrR\nEOnvQVuHsVu62+Z0Tb8GV4DKlZnRfswcph5XI4G7iyOfP7KQh5bG8ZkNjRwLqxu7vReGA2lg2Bm1\nDRGM6/+5j9vfOEhxbSOfHiuxNMIZ7gLdwSCEwFEIm5U7BkJBlYGdWZV4ujry0NJ4wn3dTYpN0X68\nsuscC/+8vd+XvqIoZJQ19PsCHi/0lwLQG6dL6pgV7TfsE0vX8WVX6LgyOZTi2qY+O/yCqXDuH9tz\neHR5gmXbb6+ZzIbHFg57HuhYJCHIi1w7dG0fKMcKa0kK9rLbokgyPKxODuUbsyLO4fwa5nTpNTAz\n2q+bbG9UgAcTgr1IDFIR5e9BQpAKlasTa2ZF8oevzhLh59Grhz01wtcSTSusNuDi5GCTB1cIwUPL\n4kgrreOdffksHkT9RSdv3j2LXT9fbtOxMQEe7D1XxbLnd3RbRD71ZTo/+/gUO7O0pEQOPO3DzdmR\ntg7jgNNzi2ub7GYIe7o6MS8ugCNdmsZ9l1HBkglqm+oAF8QH8OrO3DEVjeyPa1PDeHdfAUuT1Dg7\nOvDYigT+/E1GtyhGpkZHqI8bl082iQukldaTHO7TqwE5Py6A44WmZ7qyoZlNaeXca0OK2G+vmcza\nYVaJHAkWJ6o5XljbZ68URVGoMbTiN8yS7tLAsDOeLo40tvQuQVljaMXJQVBW14y7iyPTo3w5WmDy\nIFWMwRQpMHlcaxrt0ry+3gAAIABJREFUX4fx/75M54fvHuHxy5O6bZ8Z7cfnx0uJU3t2y0W2xv7c\namICPW3yfo0HAjwH16gxU6MbkcK9ruPLrzIQp/bkmpRQNqf31MXvyoZTZfzqyknEdIk0uTo5MjHE\ne1zmuw6V+CBPS478SHKmtL7XHh2SscO8OH9OFtdhNCrkVektjSb7QgjBE6uSWGHuZH/PghjyqgyW\n363h7+lCa4cRfUs7W89WcPnk4F6PvZDvTY/g6euTCfB0HZKDx9nRweao64L4QEpqm3BzdmRH5vk0\nkJxKHXfNjyFQ5YL3IIUBggYgsHGuUk+HUaHYrMRjL+bG+XPQXEOw9WwFr+/O6xat6osliWomh3lz\nxzzbjh8LhPm68+It07h/sUmWvNOYenVXHre8doDG1nb2mhXKkoK9yK7Q8e0ZDXP7UHlKCFJZ1NG+\nTddwTUoo7i79P19qL9dRkee2N86ODjx7Ywo/+/hkr8dU6kzO7OGee6WBYWeEEDg7CUtU4kJOl9Qx\nNcKH5HBv4gI9WZ4UZNEyr2xoHtYC3cES0KU7eWv74CMZXb0SHUaFLI2OrT9dwvwL5GWXJQXxwY/m\ncsWUEDI1fXeo/C6jguunhQ16TGONzgjEQD1pWRpT4e5w4+ggULk6UWNoJVdrIE6t4vLJwWzpR1bz\nVHEd06LkwraTeLWqV4nQ3tidre1WszUY0ssaSLZBrUcyurg6OaJydeJMWT2hPu425/ivTg6xpIv6\neDjzxaMLu0UNrZFsLir/7Hhpj3qF/pgR5cfXaxeNmJPA0UHwj9um8/xNqZYUsg6jQn1TGz9aHNvD\nWTUQInz7T5PS1Ddz55uHePiDY9z86n4yyhvsqjg0Py6A/bnVVDY088Qnp0iJ8LHZIRDp78FHD8wf\nUdVDe3DZ5OBuKc5PXz+FnEodtY2tpJc1sC+3ikUJgTg5OnDTzAg+OVrMTTN7740TH6SyeO+/PFnG\nlckDe6YvBhYmBFClb6W5zfo6tKDKMCLGlDQwhgFTN2/rXuhTxfWkhJteGnFqFcuSgiwvyoqGlmEt\n0B0sUf7uFFY3mnIZn97C4fyehWi2cOXf91gKgrM0przSBCv59+4ujsyO8WdSqFe/hXcltU3Dnkc4\n0gR5uw1IMrHDqFClHzmJ49RIk355fpWeOLUnk0O90TQ096ol/9HhIuoa2wbcjOpiJl6tIrfS9hSp\nhuY2fvTeUR41dzJuaG4blHb/SCiHSOzD5DBvNqVphr2+bFqEL6/tziXIa3CRiJGOHs+I8mP5RDVp\npfUoimKpgwhUufZbO9IXkf4efXZDVxSF3244wxXJIWz56RKuSw3jw0NFdq0VivT3oLmtg8+Ol3Lj\njAj++L2pdrv2eCE6wJMX1kzje9MjOFVcR3YX59nalYl89MD8Pnt4JJgNjP25VTg6CJLDL733nRCC\nSaFeZJRbd9Dmag3Ej4CgijQwhoHAPpQutmVWsDQpiB/Mj+HhpfGovVxRuTpRUGWgpb1jWAt0B0tS\niDdZGh3/OVTEE6uSeGFr1oCvUa1vIbtCx8s7zgHw5t48VieH9HnOhGCvfiMYJbVN406zuj8mhXiR\npbFd0aSusRV/T9cR8yKmRpj0ywuqGony90AIwYqJQaz96ESPDr+GlnZe2JrNQ8viL8lUqN5IDFaR\nXl5vs2Z5QZWBxQmBaBpa+OE7h3nyszRuenX/gArFq/QtdBgV/Pvp0yEZG0wO9ebrtLJhd6CkRPiw\nM0vLvYvGnpRpb7g6ORLp50Gu1kBuld4u6nMXygODSYBkc7qGT44W8+h/jiOAO+dGIYTgnoWxvH7X\nTFIi7LuAvWxyMP/cnsOypPFTSzEcpEb6sPVsBd7uzhaFMlcnRyb3U7OnVrmia2njF5+e5tdXTxqJ\noY5JUiJ8e+0rYpI+lgbGuCTSz4Oimu5Fr2/szuObtHJa243EBnqicnWyNORanRzKa7vz8HUfmxN/\nUrDJEs7S6LhjXhSF1QPvNJ1VoeOKKSHsz60mT6vnZHFdv7mlXm7OKJgWqb1RY2i56BZMSSFeZA7A\nwKg2tBKoGrm/wcxof9afKCXU1w1nsw75jTNMIetOA7KTIwU1LEwI5K550SM2vvGAt5sziUFeHCmw\nLRrYWe/y/E0pRAd4sidHy7y4ADacLLP5nvtzq1k4BLUfyciyOjmE0tomYgKHN5VhaoQP358ezpIh\nFGqPBvPi/Pn8eAmH8mqYbof0y9TI8/LR2RU62juM7MnR8otPT/PFyVKuSw3jn7d375GwakqI3Z2C\n9y6M5d/3zhlS4fzFwMxov//P3pvHWZKVdd6/55wTEffe3Kq6qrqruqt6h26WXmihQZAdEVBcUXBQ\nEdTBcRkVN1xBUMdBRJlXHZ3XUdTW1w315R1RAaWlgQFeoGkbaJpe6Y3uqurasjLz3hsR55k/nudE\nRGZlVmVlZXVlVT3fzycrK+8SceLEOSfO8ju/B3ftmTtu6S8R4e9/4Fn449ddf9bG0gGAZ13eWvb+\nzgfvxDvedztu+NiXwMy4c/fy1sfrzcbyJzxDSEFbEsOyxu9/6G7smxvhd/7DdUd8/tXPuBDPedsH\n8cMb1MHgivOmcOMXd+NpF5+DInjkwWF+XB2XveXtD8/iyRfMYNtUgTe953N49uVbV+V4dMV5U7j9\nkdllgzgdXCgx3cvOuJnxK7dP488+LjEtmBmRcdS82nt4hC2P4SDrCTumUNWMqztLz0++YAZ/8rrr\n8fy334gD82NsGkh6Pnb3Pjzj0nMes7SdTrz0ydvxgdseOeqGxcRde+ZwydZJPPmCGVyxfQqv+Iqd\nyLzDj/3lZ/BtT9111BgEzAwiwofv2IMXPWH1m3iNU8uucwb4oedfvqYAdsfDIA94xyuvPannOBl8\n//Muw6v/4OO4c/dhvP/HnnvCx7tgUx97Zkf4ub+7FX/9yQfwB695Ku7dO48dMz289Rue/JjF6Nk2\nVWDbBrOrPxUUweMHn3/ZIse01bJlsjhjjF/WylN2bcIdjxzG4VGF9976ZWyZLDAs9yHzhLv3PDbW\n/raCcRKQAUar5bzpjr149uO24sM//QK8dJlNdNO9DB994wvwPRt0iXpmkOFtr7gGv6p60F2bB3hg\n//F5ht/+8Cwef94UvvuZF+Mjd+5dVacKAK7cMb3iPoz7983jgjNMHgXIjOLnHzqEj961F//phk/j\nJ/76lqN+/tHD48e0MSUifMt1F+CZS2bDiQhX7dyEz3d0n//+wAE85SR3kE5Xrt21CZ998OgSwMQ9\nnVgvmXfNQOMZl27Br/zD51f83r65MV7yWzfhrj2H8b/vfhTPuGx19c7YGLzhxVec1fFAjsYgD/jd\nV1+HVz1t17q4LxIRfv1br8FkL+ANL348PnDbI9g2VeAff+TZZ0UA0I3Ia591SRNU0jg+nCM8/8pt\n+LubH8ShYYk/ed31+MHnX45//twj6Of+MTEDsAHGSeCybZO4e2+7gvEP//4QvvaqHTj/KN7zGy3Y\n1VK+/przmwfdrnP6uH/f8cmkbn9kFldun8Kl2ybxq990Fb5qlcu/jz9vEnfsXn6A8fmHDuHK7Wee\nI85kEfDOVz0F/+mGT2NuXB2xr2Epjx4eYctjKJECpOPzNU86cg/NE3ZM4fMPHcLcqAIz4649h8+Y\nKOvrzSVbJ3DP3rlVRa2/Z+9hXLbtyHx840uvxI1f3IOH1P2mrCP+6bNtZObf/9BdOLhQ4i////ux\nbbJYs4WnYWxEdsz08XNf+8R1O96zLt+Kn3npE3DdhZvxdzc/iKt3rhxvwTA2Ot983U68/Z9vx1Mv\nEhXBE7ZP4cbbd+Oax0g6ZgOMk8C5U7LJu46MQ8MSH79nH579+DNHT7nrnCP3mByNGBkPHWgjnr7q\n+gtX3dHZMdNf0Zv80/ftx3VnqPXpVTtn8HVX78BPv+RKFMFh71GCN+6bG2PrxMZYDn7C9mn86ntv\nw7Pf9kH8y227cf6mPoK3ZmY5gnc4b6a3qmCSuw+NlpVN5MHhFdftxHtv/TJ2HxriZ/72VvzAn326\ncZj6t9v34Aeffxn++KP34sXLDAgNwziSJ50/DWbg+5972alOimGsmafs2oQ3f/0T8dZvfDIAkd/N\n9DNcu4ZglGvBnvwnASJqHJB+/K9uweufc+lp5019NC7dOnnUKJFLefDAAs7ftHov9y7bZ3r48sHl\nBxg333cA11105spvfuWbrsKTL5jBtbvaaLvLsXdu/JivYKzEtbs24bu+8mL82Isehze953O4/hLb\nf3E0rtk5g5vvW/neAsCeWRlcrDST+qzHbcVH7tyLN/7trTh3qsC3fsUufOiOPXjwwALqyHjZVTsw\n3c/wH55++gTgMoxTyUQR8PGffaHJ04zTGiLCNz1lJyZ1HwsR4boLN+Npj9Fz2QYYJ4nrLpRo1Pfv\nm8drnnnxqU7OuvKEHcfncnTrgwfXHATu3KkCuw8dOXu/+9AQkRlbz4KNXNfs2oTPHKUTKhKpjZEP\nmydyvPnrn4SXXrUDoyo2EVqN5bn+knOOGVemu/9iOa6+YAa3PHAQC+MaP/k1V+BV1+/Cf/3HL+A7\n/+DjeO2zLsGWyQIf+ekXmDzKMI6DtWwuNoyNzv/87qc9ZtJyG2CcJJ5x6Rb80UfuwXd+5UVnnIZz\n1+YB7t83vyrtOAC899Yv46ufuDb3msw7MPMRka0/cNtuvPAsccS5dtcmfGaJP3uX+/a18rONwtbJ\nAh/7mRecFQPAE+H6i8/BB2/fjU8exa72nr1zR93HErzDe37oWbjhe58OIsJTLtyMG3/y+XjDix+P\nVz1NNkgezWXKMAzDMNYbe+qcJL7ysi343C+9BK9++pnn/+8c4YLN/VU5SX3h4UO4+b4D+KoT8N/f\nNlUcsQfhA7c9gq9+4rlrPubpxBXbp/DFh2eXHdCNq4iD8+MNaWtoey+OzbnTPXz79Rfinf9yx4qf\nuWfvHC5ZZoN3l52bB4usjPPg8HVXn78mWaJhGIZhnCjWAziJ9PMzZ9/FUi7fNok79xx7H8Yb/vIW\n/OYrr20Csq2F86Z7jUsOAMyPK9z+8Cyu3XXm7r/oknmHnZv7uHeZAId37j6My8+bOgWpMtaL737m\nxUc1Tbh7r8TAMAzDMIzThdNqgEFEryOiW4moIqIfOtXpOZu5ZNsE7unE+liOO3cfRhbcCW/0vXL7\nFD770CHc8LEv4f2ffwQ33bEXz7xsy6oC9Z0pXLNrE265f/E+jBgZf3fzA3jCDhtgnM5MFAHjKqKs\n47Lv37N3DpdsMatfwzAM4/ThtBpgAPgUgG8D8OenOiFnO5dsmcC9jx59gHHj7bvx4jXuvejytEvO\nwSfv3Ye//tQD+H8/8yA+8PlH8KJ1OO7pxDW7NuEzSwYYn75vPz529z689pkbM0CjsXou2NRftEqX\nqCPj8LDCzMA2aBuGYRinD6fVAIOZb2Hm2wAsP9VnPGZcsk2ChB2Ne/bO4XHnnri04ykXbsZH73oU\n++fG+NSX9uOjdz2KZ68yUN+ZwjU7Z3Drg4s3en/2wYP4miedty5RbI1Ty4VbBvjSMhK4ex+dw4Vm\nlWkYhmGcZpgPm7EmLl7FCsZ9++Zx0TpIOyaLgP/6LVchRhm0zAyyDR/5fL3ZuXmAB/cvgJkbV7LP\nPnQIX3vVjlOcMmM9uPzcSXzxkVk88fxpDMsaWyYKPLB/HjfffwBPOUODSRqGYRhnLhuql0ZENwF4\nwgpvP4WZ7z+OY70BwBvS3zMzj03kwrOFXubBDAzLGr1s+c3s9+2bx65z1sc+9QVXnl2SqKV4R9g0\nyPDo3BhbJwvMjyt86kv78VNfc8WpTpqxDnzFhZvxro/ei0/csw+Zd3ju47fhd268E9dffI5F4DYM\nwzBOOzaURIqZn83MW1f4WfXgQo/1DmbemX4mJ82FZb25aIvEw1iOqo4YV/GsW2k4mVx27iTu0gjq\nP/3uW/H115yPc6dNHnUmcPXOTfjwHXux9/AIN9+3Hx+47RFUNeNfv7AbTz2Do9UbhmEYZybW+zPW\nzMVbJnD33jk8bhmb1IcODHH+Bgv+drqTrIEnioA7HpnFO1957alOkrFO9HOPVz/jIrz66Rfi725+\nEL/9r3fiYz/7Qgxyv+IKoWEYhmFsVE6rAQYRfQeAXwOwGcA3ENEbAbycmW8+tSk7O7lk68obve/b\nN4+LbHPquvL0S8/B7/3b3bjhY/fhF1/+RAuidobxxpdeCQD4zy98HL7tqbtwzkR+ilNkGIZhGGtj\nQ0mkjgUz36CSpwlm3qz/t8HFKeKSrRO4d4UBxpf2zWGXDTDWlWdcsgV3PjKLr7p8C5552dnlonW2\nYc5ghmEYxunMabWCYWwsdsz08eWDw2Xfu2/fPK6wCNPrinOEP/mep6/bxnnDMAzDMIyTwWm1gmFs\nLHbM9PDwSgOMR+fNv/8kcPm5kyiCafINwzAMw9i42ADDWDObBhkOLIyXfe++fTbAMAzDMAzDOBux\nAYaxZogIRfAYlvUR7+09PMLWyeIUpMowDMMwDMM4ldgAwzghti8jk6rqCE9kLkeGYRiGYRhnITbA\nME6I7dO9IzZ675sb45xJs9g0DMMwDMM4G7EBhnFCbJ/p4ZFDiwcYe0weZRiGYRiGcdZiAwzjhNg+\n3cPDSwYYew+PbYBhGIZhGIZxlmIDDOOEWG4Pxt5ZW8EwDMMwDMM4W7EBhnFCnDd95ABjz+ERtk3Z\nAMMwDMMwDONsxAYYxgmxfWYZidTsCFttk7dhGIZhGMZZiQ0wjBPi3KkCe2ZHi157ZHaE86Z7pyhF\nhmEYhmEYxqnEBhjGCZF5h8iMOnLz2iMHh9huAwzDMAzDMIyzEhtgGCfMjpkeHjqw0Pz98KEhts/Y\nAMMwDMMwDONsxAYYxglz6bZJ3LXnMACAmTGqavQyf4pTZRiGYRiGYZwKbIBhnDCXbpvA3XvmAAAH\n5kts6tsGb8MwDMMwjLMVG2AYJ8ylWydx915ZwXj40BDnmTzKMAzDMAzjrMUGGMYJc/m5k7j94VkA\nwJcenccFm2yAYRiGYRiGcbZiAwzjhLls2wT2zI7w6OER3ve5h/H8K8491UkyDMMwDMMwThGn1QCD\niH6ViG4joluI6BNE9IJTnSYDICK8+Enb8UcfuRcfv2cfnnvFtlOdJMMwDMMwDOMUcVoNMADcBOA6\nZr4GwPcBeDcRmR5nA/B9z74Uf/XJ+/H9z7sMRTAHKcMwDMMwjLMVYuZjf2oDQkQOwAEAT2TmB471\n+Z07d/IDDxzzY8YJMDeqMMg9iOhUJ8UwDMMwDMM4BkT0IDPvXO/jhvU+4GPIawHctZrBhfHYMFGc\nzsXJMAzDMAzDWA82VI+QiG4C8IQV3n4KM9+vn3shgDcB+OqjHOsNAN6Q/p6ZmVnHlBqGYRiGYRiG\nsRynnUSKiJ4L4E8BvJyZb1nt90wiZRiGYRiGYRgtJ0sidVoNMIjoOQBuAPANzHzzcX63AvDwSUmY\ncSYzCeDwqU6EcVpiZcdYC1ZujLViZcdYC9uZed0VTafbAOMOANMAvtx5+TuZ+dZVfPeBkzFCM85s\nrNwYa8XKjrEWrNwYa8XKjrEWTla52VB7MI4FMz/uVKfBMAzDMAzDMIyVOd3iYBiGYRiGYRiGsYE5\nmwYY7zjVCTBOS6zcGGvFyo6xFqzcGGvFyo6xFk5KuTmt9mAYhmEYhmEYhrGxOZtWMAzDMAzDMAzD\nOMnYAMMwDMMwDMMwjHXDBhiGYRiGYRiGYawbNsAwDMMwDMMwDGPdsAGGYRiGYRiGYRjrhg0wDMMw\nDMMwDMNYN2yAYRiGYRiGYRjGumEDDMMwDMMwDMMw1g0bYBiGYRiGYRiGsW7YAMMwDMMwDMMwjHXD\nBhiGYRiGYRiGYawbNsAwDMMwDMMwDGPdsAGGYRiGYRiGYRjrhg0wDMMwDMMwDMNYN2yAYRiGsQJE\ndCMR/fI6HzMQERPR89bzuMucZysR/TMRzRPRvSfzXMuce93z7XRgNde91rwh4Y1EdA8RHdbjXLzW\ntBqGYZxMbIBhGMaGQTtNTESvW/J6n4gO6nuXP4ZJ+mYAv9ZJx4eJ6M2P4flPhB8AcAGAqwE87RSn\n5WzhZJaXH9Sf1wO4DkAA8OPrdOwj0MHMQzpAfQ8RbT/G59+s9bP78/cnK32GYWxsbIBhGMZG4wEA\n37nktW8CcOixTggz72Pmw4/1edeJSwF8ipnvZOY9pzox6wkRFac6DctxksvLfwbwRmZ+HzN/EcBH\nAEydjBMR0WsB/DyAHwLwTADTAP5yFV/9BIAdnZ/vPhnpMwxj42MDDMMwNhp/C+BpRHRh57XXALih\n+yEi+h4i+gwRzRHRl4jorUQUOu+fQ0R/T0QLRPRFIvrapdIkXTF5GxH9PhHNEtG9RPSqJe//sv7/\nXQCeBeBNepx79fV7ieh7l6SNiehF+v8ZInp3SgeAFy+9YCLymv4HNB03EtHVK2UQEU0Q0R8Q0X6V\ny7ybiM7rplvz7Ls0Le9a5hjfTkRfIKIhET1MRP+j814gorcQ0X36/m1E9PLV5v0a0nvUe6X58XYi\n+r+J6BCA31hNOvR7v67fS/f3ZUS0k4g+oN/7CBFdtEK6v5mIvtT5+zWarhd37tssET2jc76jlhcl\nX6nMrZCOCwE8DsA/d15+IYBbjva9E+CHAbyTmf+WmT8D4HUAnkNE1x7jeyUzP9z5OXCS0mcYxgbH\nBhiGYWw0ZgG8B8B3AAARnQ/gq3DkDKoD8BMAngzg+wF8L4D/2Hn/vwG4HMDzISsiv7jC+V4P4AsA\nngLgXQD+iIjOXeZzPwKZof0NyOzsamVHvwXgSQBeAOn0/9Iyn3kTgJcB+HZNx0cAvJ+Iplc45m8C\neC6AbwDwHIgU6k87738zgHcD+CtN6490v0xEOwD8kZ73CgBfB+BTnY/8EoDvA/CjmvY3ACg77x8r\n7483vau5V68HcBdEHvQbx5GO/wjgs/q9f9Dz/gHkvnwFAALwjhXSfROACzuD3WcDeFR/A3KvPBbn\nXeJo5WW1ZS5xDYAHmXmvDsZ+C8DFWJyHDUT0ezqQW+nnH1c6Ecnq0DUA/jW9xsx3A7gXwNOPkkYA\nuEYHq18kot8hos3H+LxhGGcqzGw/9mM/9rMhfgDcCOCXAbwEwG362k8B+GtIh4oBXL7Cd98I4F/1\n/zOQDvGLOu+/WL//vCXne2/n7wBgDsDXddPTef/DAN685Lz3AvjeJa8xgBdBpCUlgJd03ntJNx0A\negDmATx5yTG+COA7lrnOKT3myzqvXanHfFLntRsAvGuFvPoKAAcBTC7zXh/AEMArjuO+NXm/NN+O\nld7V3Cs93gfXmI7u/d2ux/2JzmuvAvDoUY75BQCv7tyTXwDwb/r3G1a67qOUl6OWuRXS8HOQwdFr\nNf0M4IeO8vlzIQO2lX4uOMp3z9fjX7Xk9U8A+IWjfO8lECnjVQBeDhnUfQgArbYc2Y/92M+Z87Pi\nkrZhGMYp5P0ANhHR0yAz2j+79ANE9EwAb0bbSQ0A7te3L9G/uzPLn1zhXLem/zBzRUR7IR209eBS\nTccnOq99YslnLoN06j9GRN3X+/r9lY75sfQCM3+BiA5AViM+t4p03QLg3wHcTUTvBfBeAH/PzGNI\nB7SAdISX5Rh5f7zpzbC6e3XzGtNxa+f/j+jvzy157Rwi8sxcL3PemwA8m4g+AOA8AL8D4I1ElENW\nMm5a5jvH4njL3DWQe/a/9JyvAPBOIvokM39s6YeZeTeA3WtIFyArOscNM/9T589biejzAO6EDGZX\nqnuGYZyhmETKMIwNh3b0/hwiLzkPQLfzAiKagszo3gPgWyDyl1+DdFaBtpPEqzhdueRvxvG1jbFz\nPhBR1nlvNemY1N/PA3Bt5+cKAL+9zOfX1AHswsyVnu+VkA722wB8VDvNRz3+KvL+eNO72ns1v8Z0\nNPeXmXnpa53zrpTOmyCd+ucA+Cgz7wNwB0Qu9FVY2wDjeMvc1QBuYeY9zPxhZv5RAHdDOu9HcCIS\nKQB7IWV66YBnG45j0MLMdwE4ABnsG4ZxlmErGIZhbFT+GCJB+b+YuVwyu38FgE0Afpp1IykR7eq8\nfzeAGtIB+xd9bdnO2HFSQjT3XfZApDeJqzr/vwtABeB6tBt0l+7duA3AGMAOZl7NTG865jMgKw8g\noish+fGFVXwfQDOI+yCADxLRb0AGGtdCZtdHkAHI3yzz1WPl/fGm90Gs7V4dbzrWyk2QfRLfCJH8\nQH+/Xs9/xApCh+XKy3FBRH3IqtIXO6/NANgJ4KMrfO0XAbz9KIddWOkNZh4R0S2Q/TD/oue7BCJR\n/PhxpPtCSP7cu9rvGIZx5mADDMMwNiTM/O9EtBXAcraf90E6bz9ARH8B0ex/I2SDOJj5oL7+myQO\nTwTgLenQJ5CsLwF4BhFdAGCemfdDOpuvI6J/0mM3cRCY+RAR/bmm47Wajrcuuc5DRPTbAP67riB8\nGjJgeTmAP2Pmzy35/CwR/SGA3yKiWYh+/3cBvJ+ZP7+aiyCip0MGEO+HbFr+Vsig4kvMvKADjv9G\nRBEiTXocAKcymKPm/VJWk9413qvjSsdaYeZ7iOghyGrPf9eXbwLw/wD4NB/dlna58nK8PAkySHkL\nEf0UZM/OfwHwIWY+QjamaT4RiRQgK2fvJKJPQQbrvwngJhZHKRDRf4Hs4/iu9AUiehvEnOEByKrF\nrwP431h+A7xhGGc4JpEyDGPDwsyPMvNomdd3Q9yBfgAy4/5idDr2yo9A5DMfgmx4TjO6RxzvOHg7\ngC2QTlfq3P0qgM9AXHf+TP/u8qMAbgfwb/r+W3EkPwnpdL9dP/tXAHZBOv/L8eOQTu7/B7m+B3Fk\n7JCjcQhic/o+yArKtwP4ZmZOexTeBHGZ+m19/zehM/GrzPvjTe9x36s1pmOt3AQZzKT9Mx+C5MeH\nj/G95crL8XINZBXoHEhn/T2QvQ2vXOPxjgkz/yGkHP8uZIVmDsC3dT6yA8CFS752EcSM4YuQsvMp\nAN/AzPFkpdPiu6+JAAAgAElEQVQwjI0LtZJUwzCMMxciSnr587RzamxQ7F61ENE7AUwx8+uO+WHD\nMIwNgkmkDMM4I1EHqgshM8e7ILPx7zvbO6wbEbtXR+VqyMqPYRjGaYNJpAzDOFNxkM2unwXwF5DO\n67ef0hQZK2H3amWuguSLYRjGacOqJFJE9D7IpsMI2UD3w53NXo+DuL1shVjSffdKGw2J6OchgYIA\n4M+Z+RdW+Ny9kKBDn+28diOAtzPz/1rVlRmGYRiGYRiG8Ziz2hWMb2Pmq5n5Wogv/R923vt9AP+D\nmR8P8VL/n8sdgIieA5mRuhrAEwG8lIi+Zs0pNwzDMAzDMAxjw7GqAUbyGFdmICsZIKJzIcGNbtD3\n3g3gEiK6eJnDvBLAu5h5Tl1h/hBrXAInok8S0Wf05yEi+uBajmMYhmEYhmEYxvqy6k3eRPQnkMA7\nAPAS/b0LwEMaFRbMzER0H2Sz3r1LDnEhxKYxcS+AVxzllH9DRMPO35en/zDzUzVNOyB2gb+82usw\nDMMwDMMwDOPkseoBRgqoQ0SvgQTQeVl6a8lHCSvT/ezRPgcAr1hmDwY6f08C+AcAb2Hmf1nyXRDR\nGyBRgNMrFxTZ5JGpZW5/uq+lqMGs/3ivKSb5u3ucGOVvR0DwYP0qsX4/xvYcRPIasxzKe3nNycsE\nAHUEor5PTg4SO2l0Tr/TycJ0/DrKe0Tt572TI3dzPKUhpa25brf4uN7J9bg23RQ7303nSvnl2qxp\nPpeuFSn/0OZhOk7zNrW/ifRaU3o1Xxi69rbM9TO31+pce8p0rnRs10lzyo+6bq+p+VL768jv8OL0\ndl9HJx3p3N0ykK4LaO+tc+05lqY5naObZzFK+Un3i7WcNMfulNWUprjkeF2650rlvfMZ1mzhzmsU\nWcp53Snj6djN57RcAp17siQvl9aplPxF5ZYW/VpcJvjIY3bLless1i5tedJ5F9X7ZdqF5e41tfeL\n9d5xJ5lUa55XlV5L97vpPFhcttJ5HS2uj0vvY2owmnutH+LOa8vejyX5kNLfzZpjbc1L6Y6dtsot\nsyCudW1Rm1gvaXOWtrdHqwNNvnXTueSx0r3MVAaW3rPudSw9cLedhaZn6XGXXmNKRvpv+vgyh190\n3m67nt5P+Rn8kc+hpXnRPV7TdmFRuWw+d0Q+dj/TaSvqenE72r3Gla4d0LzWttW7Nl3dsrL0u961\nx0h5EbXsN+Wpc4z0d+zco269WXqOxSc8ok1bVP66ZW7pcZoy2smTdO4j8rh5ArbfXVpnu3mQfnfP\n320ziZavW8tcXpteLP9Ht21ILyx6NnaTv0Ibvej7S0+2TN526/ei9C5TRlM+Rc2zbh1YSuQjz7Hc\ns28RqVynMhcXfzelu5tGR2BP7fNPj05R0kCpzi7NlvRaKrscjywz3WQ1319SDtKvlCepP5feSHWm\nTXRbzo+4V/I6p2zS446q2TEzF0tz60Q5bptaZv5jIvo9ItoC4H4AO4koMHNFRARZ1bhvma/eB+Di\nzt8XrfC5Y0JEAcDfAHg3M//pCul8B4B3pL97+TQ/98k/BlQRVNfNDaFxCZ5fAB+eawoYD0egLEgn\nqywRxyXC+dvBgx6QBaCsQJV2RusIPngIPB7DbZpBecl21P0AdoAvI/x8Bb/7gBy/ruWYkcELC6A8\nB3acizjdRzWZoS48/KhG/sAB0OF5wDnw5EAK0P5D4OEQ5B1o0wy4yFFvHiAGKbB+fgw3OwR/eTeo\n1wMVObgsQUSI524GF5l8Vh/2flTDzY2AR/YCZQVmlmsYDEDTk03+VBecg/FMjmrCw5UMP4rI94/g\n5segfQeBIgdP9BEHuXx+IkPMZVBS7BvBHVoADUfgLEj+pgajrEALI/D8POpH94GC5Dd5L78HfVCv\nQH3uJtSFhxvX8AfmgUf3S6Ue9OVe6KCKFxbA4xI8HoOIgCyDm5kGsgD2DlRWwLiUwpBniJsmEfsZ\nYuYBAH5Ywd33COKBgyDvQUUB1DW4qpqHDU1NgYpcrqGO0mkMQc7RL8BEoBhBcwtAVUveeAcal8Bo\nDB4OEReGoBDgtp7T5AkdOox4aBbuvG2IMxOoJnNw5kBlhJ8rQTGCnQMXUnb8wQXQwVnUj+6H33U+\n4mRP0jc/As0tgKcnwf0cnHkp72UNN7cAjEvw3By4jiDvgKIAEYFTAzUageta7sGOcxGneqgnMsmz\nmhFzj7rvMJqWwQfVQO/REmGuQvbIQWB+AXFWghpTvweanJDvlhXqvY+Cywr+nE2gLAPyDNwrpLGs\nI1DXUqc6jT17J7/7OTg46cADWoYJropw+w8Ds3Pgw3OgwWDR/eGDh8BVBcoz0OSknMv7ZiCQBuFU\nVnK/6lrupyPw/BA8HILHY3mdnBwntQvSEIEmBuBegThZYLS1j7rnUA6kHXEVY/DlEbJ984h33Ct1\nt99vGylH4HEJlKWUrV4BMDdl2U1PgacnUG6dBBzg5yvQQgkajYFDh6U8hwDKM6kLmtc8LuW14OWe\nlyVoahKcZ23Hj0jyNDhw5lH3AtgRSB+GVDOojp2n6eKOgxvXoGEFeuRR8OwsqFdIHqPzWWbw9ATq\n6R7GMzmoZoSFGtmD+8ALQ6k/ZSV1otPe0sQA1O+D+4WkYX5B6iHQtBOIERyjXN9IY/F5L+/nmXZS\natT7D4IcSVubPtPrSQdWz9+Uee/B47HcE0dwU5OgEKQNzjNwcG0nRDvzHBxiL5NyVEWwlzyNmQNF\nhiujdEw8Sf5GhhvVoFJ+3EEpuwBAvZ60YbOzQJYBl+5EPcglLeMaNK5AC+NFgzOKLNcwHCHu3w/K\ncymnvZ60P3lKWw2eWwBiLeU2BCDLwNMTiHkAgpM0jUrgy7tRHzoMl2dtm5yFJYM0BwqSZ6kOx/0H\n5PybZ1BunwE7Qjg8lnZpYSTXFRnMLG10vwfevgWxL22MOzyGO3hY6vKmadRbp2WgVkd5jpSVXHtV\ng+c0zzbNgCf6QFXLc2b/QSwyrqnrtq7mOZBnoH6vuRY+PA+em5PnzeQEOAuS1kOzUi6yAK6jPFdC\nkGM4knZi62bEQY56EIBa6oSfHUpb0hk80XAMjMaI+w9IuXFO8t8RkOWSj/oc5eCAmkGjMfihR6Su\nTU+BZ6akPncnPZpBlraXWp8RATeu2sF/8/kIiiztX67t+riUe16Wbbub6pqWD3b6/KxrUB3luZUG\nhmlSMw3IUnlgBg3H0reaPSx5HoKmJy4qf6x9GBpLfcSBWfDsLJgZ7qKd7bOs0/5QzXCH5oGFIXhh\nAfHwHKjfh9uyWcp88FImUtue2r2ykmucGsg17j8EnpsHigLYtlnSMT+UzxEhzkwiTuaYP7+P8aRD\nOQBiRnAlY2J3RHaoQna4hJ+VNijmAXDSfrqDc3KcqgKPxojz83CTE6DBANzv9OVjlHaOCBy8TFIH\nJ5NT41KvN4IPHJJByrYt4CKXtno01rp1uC0L5ADvpDznGTjP5LNVDc4C4iBDNZk37VPYexj//IVf\n24OTwDEHGEQ0DWCSmR/Sv78JEl12n0qibgbwHQDeBeBbANzLzPcuc6i/BvDbRPS7ACoArwPw82tM\n9+8DuI+Zf+V4vsREsiAQSWbAu5UPkEbEe3nYEQExIo5Lffh0Z0D1YcE6W1MUoH4PPDlA7HnUPYeY\nEeJYOxp5BoQAXhiCckjjPDUFyjPEXoaYe0RPiIEAeMSZgXwnVYw0k1FLw8V5Bu7niIVH9DIUpSqA\netqprqWzxPMLUtCG0rF2lQeCrkhUsVkpYW2E3WAg6RyOpGA7ApUz8OOImMsDkwmIuQc4g9s83XR8\nq4kMMRCqCd88SGNwcAD40GHp+GUZuJCHVjNDGwIoy6XiAEesZnDnmYbgpdEbinKOtVNFdQRV0iBQ\nWp0IQSuqlwbFufYhGTw4k3SyJ1At10UhgEJAXBjC51kzc5w64MSxfWBVlXTUgwxgUgPIFeShn1ZD\n0kxcCECWw5H+3/t2QKsPsNQ54eBQ5w7OUdPRY+/AuTx8fHqwS+J0ljyCRqUMXPs9cE8GlOSlrPPI\ng8oKrA8KRgZHJB0IInltpGWs+wDRVSiK2plZOrHndYYnC6Ask05yXesD1CGtzFBYpqlJs0cxyuAi\nlXNPTacIkEFHc191YBDzII2mc3JOAOQ6Dz1mcFU1HQO559L5ZF0x7Jar7goMRZaHfnoIl6WcJ3WC\nnW86V1zk4ELKQJoxIobOdpHU7X4GNzMlnWpHgNN7F7WMZG1ZS7NRlAaueQAHHVB5kvuZ2oI0IOrO\n4Na1lE1ABqbaYaZJ1vvk24c16cyc18EbAQwCgeX14JvVKkqdWQCIBA7cpIWZwQtDuBCaNLDeSxr0\npHym8pLqc11LRz7VJ+2w08RAOnHaSWlnVvWGpeslkkm+EKReRpZy66Q8s5OTuTyT+qXnkVm7CMA3\nxyIOi2bNSQe2FALQK8C9QvIsOJmkSeVe8w8AqIpwkSG9Ox2oLUN39Q+AtPE6yJHrko4BFQVqnY1l\nSvXMyX1IHbo0MVCWUpa8l+OUBISqHRjovYbT+lxHMEVQSB1UPT47UCkTD24iynG1HlFqq1P+B20j\nOjPrbmpSOso9mVhhT4i9AJdWW2flGRtHI7iikEFwrQMzR/Js6hcg79qBEUvepkmaVN4AAFnelh19\njVnzQ58xXNfgUvPCObmOOjb1jbwD+j2Z9Eh1iOSZjuFQyrEeQz7vARdk4s7L/Y/egRwjAnC5vIcq\nTWIuLgdcRymD2qdoJgKck7JBJPHhg5cJmsjy3MyClME0P1CzTB6lto5SeXSAByKCTHZVMginOrad\nVSJJlXPNRKk8yzSP+j1JTzonEVCT9Juo/UmDGbletM/0NHjT5zWKoh3UJrTjG/PQtvea/3JP+vI7\nvVbFtv54Ant5/lPMmw46Fbm08VmQtGW+mRBOzxgeDiUtWZC+QV8mY+EconNy7Il+U3/jIEPdC6h6\nhKoPVANCXQCuIoyGDuwC2BMykjrP+huxbtvCstPOpTKWVhtTue2km4NMrhEDlHlQqW1lauc0ndF5\nqL4FlNpcjtKGeLl/CH7xOVMSHHRgB3A/x8liNSsYMwDeTUR9SPO0B2Ihm2rO6wG8i4h+FsAhAK9J\nXySi9wL4RWb+JDPfSER/BeBWffsvmPmfjjfBRHQRZHDyWSL6jL78SWb+3uM9lmEYhmEYhmEY68sx\nBxjMfD+A64/y/u0AvnKF91625O+3AHjLKs558TKvPa/z51IFm2EYhmEYhmEYG4Dj3oNxOiNLV2h1\ng0Arv/BetMCq3wcgUg9HIsHoyi+aA8r3MDMJZAFxkKPqe1R9WR5mxyAOyPIMlGWI47Esz/UKUK8A\n93LZB5A7xNyhLggxI9A5PfhRBhpH+IVStIkscgeohCvmHnWmy2kEUPQAFbKcrJpPXlgA8hxO9x5Q\niODagYhkyTG2edBoRh2B5xcQ5+bhJyfkeGWEK3XPCkPSm+WgfgY4IAaHcsqjzh2qQpYIXalLqMEj\nzs6CFoLIH5ws+yYdPIUA1++JnEWX+URdQu2mZ6CRD1G/J9rpzn4ODizLwaUH66ZYcq7VM6ZlXoWT\nXrXR9EOlbjlocgJe98kAkOVjXR4XaUEty99V1ej7jyhjqrkk72UkrGklKgAW+QenvSi6JOxmpoEi\nR8y8lh1dBvYim2DXLsVzkKV1t2mmSSONZP9JPDwHv2kGqBnNhuwkZVApVBwO4RqjAM3jJCmqKhD1\nm7S5stYyUIOqABBQjaV8J8kMq0QKvVyuV/emsG6OJWbZHxE70qmoUg9AlrDLUpZ4ncrc0EohqLvB\nUfPSDWQZH1mQa8zConu2aEnYqbY1C4j9TNKV7n1kUC4aamKW5ego+7Tk3nXKjhdZDTkn8invG3kD\nVBZIFcnmv3T43KHuZ/DTUyKnS/tfAHBstf/U6Jll309a7k/llNO9TFSVaHpTGrwTjW1VgUcjWTKv\nvOznSPIvIrBzzb6jRsbDDJfuRWoficBBz9eRTjV1SI/lBj041v1IKhvk4QhclXD9fpN3VOtmSEDL\nvhMpC1Smou0a9Xp6Pe3SPqf9Tp09OEBHJsWhuT/k9Fh1LdKBPG/3Ui2BnGtkfI0M0tcA5XL+XgHu\nF4iDrJEtcJC6GTPXyL38KMIxZI8ERAaDGJry1OzVCCp7qLn5QSpLIy3rvULarF6O2FPpXaoHMYqm\nXGWOTR2Jcr9cUbTyIS1L1HnOIe3XqCSdjXyiyRCR0Ll+TyRAc/OLTUCAVnqa9tSl9EWVkxVBZb/a\nRtQelAd53mQ5UEc4p/uZVFLHkPY99ggUHFD3WgmjSqgwGoNH42YfVbPHJPgj9hlwVbUyKNX8Nzcr\npnbBtW1+Ife7kTlmQfInqnwt/T/6dr9O2q+QpIWk8sXUpld1u9erK02pSsDlItVKMtm038wnyR0B\nCLIXUusL99q2QPZIRZGeVaKtJ88iC4SafviOvFX3IfDcfLMPVGRartmjJW12X55Ng56Wd5EFghk0\nknOirjv10LVtSNrfkeRTTvbocC9vP6Nlhr3uq/Ne9hVCJV/peaT9I6RneNTjp3YJIhVj3YNJqS6H\n0MiuOHPN/XcjJ32oqhaZKpHuD/SydzLJHVU23SUWQdrwnOSnAOo+I9aE8RQhFVRXdep0FRtFZ1Pv\nvNYr7VsuqpfOiWQp84i59FdipscdO7gRwXX6IQTtw2QO0WcgfRZTXbf7TFMZJZLXy0r22jgHirrP\nUNux2Dt5w4BVWBMYhmEYhmEYhmGsDhtgGIZhGIZhGIaxbpxdEqmybi1ml5E6kSOVMLSORpTcLpbY\nNKYlNQQvVnWFR93zGE95xExkI84DxIQ4yOHGhSxbpaXtIhOr2V5A1fOoC5FIMQExePjSwY0YuZpK\nJOtUUrtEWU5LUiygIg/nCW6cw0FcBRrHj0rlHlXd2sSmZVzuLL3lebO07vo9QO38FtktAqgLD/ZA\nnTuwB2IgjCdIrtsTqAb8CKgGHm6UI2zdIsuwRE2cDkJHopNnkvdzyTJSlzuTiw2pXKjI1JiJWuem\ndF8ig5xr5DXwKp/JvOT1kl07zfI1VO7h1cEEUCetYXOvKFm/cWyWzeNoBC4rsZ2r1TJTl3K5FDcn\neE1P7hYvhSd5l5YlnhwAzqGeUGew0Ca2iaUCNEvxsZ8B3BcnDL32tAzvJif0XJ2LTb70wYuVX7Ke\n7EjQmvKe3GHUuYPGFWgo1qjUK0AMhL5v3XPUIYgLD7hclsGTTWOStzkn+VpHLEJtJ3k0BspxK0VT\neQyrzKmpqSxLzVTkIoHLxV0FRQDVXj7P3C4F9/tyXrVxjYU4gjTuGer4kdyxKKr9aimOVqT2jJwc\nzjoSnEYekVywyhpuLHXElVJeAbE0rAcB9cwEXBbEAjG5I9URUsFbSRCXals7OSHl37dSHIm14Ro5\nABXinsWNC5ekOw5HIK+SorqWz3XiBVCSA9VSZgkAxtTmsSpIxHJR2iQph8nRST8bRE5BTqUWw6HI\nFfo9wE+AihwxCyqn60iyvJd2LN1X7xsLUSR3FyK1yWUpG+Oy/Vwj+0NjWQugld8l+WWMYtFYUSuR\nSnmQnJBS1iY3nuQulGXgQQ+xyBD7AVHlUVFd2WIQaQzVAC1IuXGzC1JesyAugGoNmZzrqMgaC8tG\nepQFEPqN/S73C3BP3PY4lzJGpUovagaGI/BorFLGJLPpSMe6jl3JiS05J8VaZai1OG819T5JKQGw\nEwtMAFSWrdNXkh+qPIqLXB0JVY4DqLxDpGB1TxogqpzIpKoA1ysa2UpjzZokgLlDXFQ+IfJMdeNr\npH/9XiNRbGyugdaFLAute5wXKR6FTCyiO22S5JdrXAbRcUxLUmGqcnmNWZwOkyNgej417m0d+XUV\npV0bqV16131Syy8l6cpSR7HkkJd5IAeoCM19jcE1sidxKURjY0qjUp4nMVPJpUqga25dysYl4uE5\ncDmG6/UaO25UlUoaK/h+X9yUigys8msAcKU6Tpaar1XdOuyl9m84VrmS5lnmwb7jlsgseayyq7qf\nNdIkMMMhSjvBKlVL9ye5MumzgpIDIDspf16fOYOeyIb6mcgXM9e4WUp+qXtWcnPSPlzsZ20ZTG1K\nymNmkWI5QvSQPogTNSA5Rl0QqlLa+yxzcBwXOeY17aQ6B5J3rWOghjhI+SIy3rZfV/XkeRBI05Ly\nsHGmlPpGDJEVAqCRSh+TI562PzQupd1YWAAFD6rEMjxJb5Mz3snAVjAMwzAMwzAMw1g3bIBhGIZh\nGIZhGMa6cfZIpBiybFmpC5Du3m/QKJ2cAlippIV6hbzeCfoCQGQ7RQAXGcabC9SFQ9V3GE8SOMj5\nvCMQO1QTGULsw2/d0gTH4iIH9wLqwiEWhLoglH1Z+qoLgqsAP2a4WuRZYWpClpi9R52cpzJqlupZ\nXQHqFBWVGW7zpja9uhyXnBia5XtAlueSu4h3oIkJkYUVebN8RjG50Ej66pwwmnaIOVDnhGogy4fE\nEoQmDoHxjEi03Ogc0MK4jX7eXRpObhopMNdSuYQnDTQmS7YuF0cNAK2cIck3nMgi5LjigsHea7Rz\ntNfRlAmG6Bwg8odBLo4M6iIiUZar1sUoMoAU3Zt1yV/zp+YleeoaZ50UTbxxPfK0SN7FkwU4OFSD\nIO4RTqUXlUgvxOXGIRYiTaoGGVzmQRMF/EIpy/IxivvTQCIgLzo+iUMFOAdNT2oAOyySyzXOGl6D\nGaoDDi2MJEL3oVm4czbDBY8wL0EV4QiuUmlJirpddOqIOjM1y8B1bKPxxthGz1Z5FI/L1qUFADiC\n0/3SAEKuV7SRY9O9JhLXkHQuXSImPyVfVYe3mAfUvdalq5leiVKGKDJ8IFDp4JPkAgBVoQkc15Sb\nqpayFkXqRFWEz7ws8Qdxg2OXgmc6VDMFfOHhvWtkmo1zlF5DE2SvV0iU4zw0MgW4JAt04F4m0jyN\nNt/c51SHHIErCRDqBgM5VtZKOqiS9NKobMurXlfjbkIE18vb6NVJFqoB39irs1WRtRIgdSlrJCd5\nJu43S4KUIgUxzLI2iGEKxJmCYSY5ZRQXKZF9eXBPJTKNQ9ASSUKSsThIYLCqbVuaz5PryKw6aWMW\n9y51eYsThUhfC99Ioxp3tyTdYDRSQj40q8FUNZI2VPLmRBLWOJ918oOLFIW9B3gn5TTz4NyhVicZ\nr8YwpG5XXFXizJfl0lap1Kt5dgGdQJnqoMQsz7g+gVIU7iLX+6lpSfkXPDhK0EKglEB1IQDkGjc2\n7oXG8S7mXqQjhUMM1Mh2Kaa65UWq0nWZy9vgcRzkWruSGao14KWPzT3iWiVTgMjJstBKWoJKJLMc\nLjJiJ7BZCpzYDdQJr3LVPDuiPUYpLoRJJgnqSG/VEVJkLZD7HzW9lbRvNColsrKXcp7uD/V6reug\n75wvlYXkNlZoENjQtt9y/wE3FrcmSv2ZFMU5z1T+KkFlU+Tm5pnLUfsyWftsAiQQ52gkdcJLYFrO\nnATT9SK5Y4Icoywl6nwWgKpo278Y28jqWr5Zg8Ehp/Z53XFiq9XlKTkvMaNxUyJte5s6VtWg0biR\nV3f7XkwA+tT0f2LuG6c3QO9NxXDM4DoX58XIjby2kfV51/ZfxnJdrqzlURKilGXW50RHstyUsSrC\nlbF1Xawiuu50olvvSPQqDZ4XawlQm9pwpwEcg9ShWDtQ5fV5PyHPweTElTmRmbJrpFmkx0TsBKpd\nGILnF1DPziJsmtHygCZwMptEyjAMwzAMwzCM0wEbYBiGYRiGYRiGsW6cPRIpqLtMWbaOIt43y5dw\nJMuHJTWygybwU9ZxJ0kQgfOAuhdQTnqUfULVI5STsoROtbgNRA+ETRKsJSd1dwAQewGx8Kh7DlUh\nAerqXus+Q5UsjVPtETMCMKMBlYBqMhN3mkIDtKikhj1QVQEcCC7zCM7J8mJXlhKXSD1CkABNKdhX\nCKCJviwhqmNVcpISiYAEnSkHDuNNhKongWfqPst1V+Kq4BcIbkyocw+KEwhzBdyogpsfiywj6rKj\ncxKADICbnpRzFUUTaCrmcv0x02Vf9qA6yFJlpcvoVYSvOg4OSSqSXIVUyiD5qlIx51T+FRvHiZh7\nWYH1Hq6uZbmXk9tDm28UgpSVEFr5U5LnEMlSeCpXyckrLR0np4giqCuNUzcwceVK6Q5lFEejhVKk\nEZkH9QNiIMS+uLRQzeDcSSDEkQYk0rIl0rJWvhX7GSg4CbCXlra7QZI8i7OPkyBJjbyirkUulWci\nu4gRblSDKmrLhUqSoi4BN/Kj5MYRGW5cNWUfda2uK7ENDOacSBm4zWtOQbLINdK5Jh1L5QVNgCq0\nkgqo7CM41IOg7jZe3UCoXeJWFxiqSb9OcOPQBniSxADj2LqPpUhKGtQReQYXHKjOZPmfRT4YA6F2\nBJpQ1zciyYuRLPtTknulMtsrgBAQJ3vicNJxc5HgS+r+Ug/EKW5Utt9PAQTJAZCAWuj3ROKpkg5i\nBsa6jH94oQ1wqMvq3JGgUK9oXcUAcBD3MQmqKOVa0hZal6okwQwenAcJVJVJO4VITaDIJKmKdQS5\nerFkybVyAXIajHNi0N7sGIFKfnPUIHxdV6hUNtSph9VNq3GoU1lm4yCU5H3JGdCLk0/dD03bIzLU\npeUFEmCrcViSPIlzCyJVgEhQKEgQOgKOCFLHeWiCZiV5TNS628iMfGzqs+uJc5jrBMDjWmWUZSWB\n3MjBZRnIa5uvTj6U55pOderJgrj6uFZCmtxsqNL6mPLPEcir7DTzqFPbnIs0OAaRyjb1igFXS52q\noxPZoZYPrloZZHLvEfmM1kvWclJKYFi57h4cs8i2QmgD0zkNPqq1n3qFlJv0vEvlUaVOjTxO3eCS\nRCvmHXdFR6AQ4ViCHlImdYD1uYE8k7KjUCWyJZeC18aIOD8v96HfAyYGrQwQWCzrS39TK8GLuUjN\nYk6trDGylLWKmu9QLe5acWGo0mfXpLU5rkrBqeOY1rb7Kqvpq4tZ4+KW8pY0GGSSlUkbzOMxiFzr\nYFhVqFdZwhYAACAASURBVA8dBnkPPzGh7YfKldLzjdDIf5PMEAy4McOPI7hK11S3baFKLqmqRZpV\nitw4XWMcSNmJmZ7DqTS1I2GkWoI9MgHsHbzKPZNTVlPfPIn0qWL4ofRTaGEE18sB6sOXGVxJcCXg\nxiRpLwFXyY8f1vDDCjSsROKlrluoKnGUzERynuTWPByKJHhhAW5mWspGKgO+lb7HjIDoQDFH2LZZ\nXAL7mfaLWul2DA6uStaFGhCxK0cvCvh+T6T53kufAm07e7KwFQzDMAzDMAzDMNYNG2AYhmEYhmEY\nhrFunD0SKZblaoxL+Z2WDTuBl9h7Wd1N7yUJTFoOTbISXXaWpVWHqkeo+vozQGeJGIg5YSF6hIFD\nXQwaWQ9IlsGqvsqjCqAuAA5olsbrWiQ04ymH8ZRXJwNuXDrqTB2QSM8VIdKMjOAKCd7ixrXIklKA\nwSSB0DRQCGBy4nwSgji59AtZus98E2gINZq8ihmh7gHlFFANGPUgApMV4BixcqjHDtXAgaJD3SdQ\nHZD1HcKcRw6IO9G4EmmGBs9JwQzFHSGgnu6JhKzvUOdOl98l6eL4A/hRhCsZbkzwoxpcEmg01iV4\nlWFw1o6i1RlJ8lCcGcRBQh0oMifL4z6CokjjyFHjdrRIWqfBzlglO5zcpJwDT/QXSaYaCYYXWV3M\nHKqJ0CyD17lDTNK4qNI4dZBycwtynCIHzYg8IknjwEDdc3AVw5VZW9QJ6sKBxh2JPYEykQSgG3wo\nBRg7or6ou0ehgYymJtR5Q5ZXUQOUAgtFdXrxAINaSUwKqhXl/1TWIptI5S/JtVK9Qya/NdijZqjI\no7xrZGmUZa0kp3Hn0IB0jhB7rnHHSG4syXEtqjtHN39ERkeifKoJiCoTCQ4oRRqBcYk4GkmSNLgb\np8BPeQ7EXrPM7aoM7GV5njX4ZDlwcLUsR7txgBvX8HNe60KpkkEGhx44z1BP9RBzKfuNUxyJA4u4\nqpE4lngvEshaXK14kXuOSkBDx7EmqsNJWYk8ajQWJ5lxKa5dVSWuR1mAq+tWcuWodXeLsZGnIMkL\n4MBIDjmLg0YlCQLAYE55K25EGNGiNDdyDK1nDIAmRA7W1CdAJU8aPG5ctoHzkvylyQRSF6dcpAtZ\n1jjdNBIhlcgslSgtlVuARYoq9ZQbJ5YUdJWmJuCyTPJ0bk4kS1HKO9ci5aLURiQ3nMw3ciwO1AQv\nTTIfqjQQVpQ6Q4Oe3FfS4IF1lOdZ554jyV0baZC6JqVykIX23mXqptR1nFO3O+qL1NNXfcnbPAP3\nRbpaTQQtn1K2YwYNMKu3sQJiRfBjgqtauSaqCvHQIbipSZG6dNospraNB6hx0WIiUDUJDHrSViWX\nMnU4447ECL28CarHlUqDu85aruMgpdKsqM8BuSeQ7yf5kJ6DmqCFrv0BROJIrhOYTdLmJida57nu\ncyCRgqwluZJ+NznPxYz0+a79kxoAifyYaxLpWE+C9vkQWilc1wku9VW0HnRlUsndqH3uB8RBT1zf\nVDLMRCBPYHbgft7IxrEwVPc8lTNpYN6u+2MsgrivdSR0TdsLec5RBLI6tkFbtV2i4bituxpkMR6e\nA4/HcIMBaEodmkjb9iBy8di497VliKJIx11P5KtuMhd5kJY1Dq59Tqos2R0egg7NIT66D27HeXAT\nBVwprp7J3YkY8EOGH8nrfljBzY1Edqp5n4JUstZ7ELXPWZUwUVGAetLmx+Rm5Qkx6OedA+UOsXCo\niykQcyuhVJkZRZXGOjTlPZV9CkECJmt7Fyd7jbwqSaPYHfH0XzdsBcMwDMMwDMMwjHXDBhiGYRiG\nYRiGYawbZ49ECuJ2wJUE9AIA5FGWjlJgryDBhaigVgKTlpXVkYI0SB9T62BQ5xJ4LuZQ5xhZcnI1\ngXJZ7q5GsuTpS3Efocjyeo9Q5xq8TiVSMUvLpiK7ohrwY9LvqbOIXlL6LW4msqwZM4YrGeAAP3II\nMTZL5k3gM59kCEW7fBc8EDxiL++4SKijA9SkKHeoMwkMWPUZ1WQNGtQYTA+R+RpVdChLj3IUMKoL\nCRo4ljzKM4IvI9zIwSVHDr2MFOxIJFIe5aRIicpJWV6teknagiaAUxacLE86Qpxz8A7gqgbPziIy\ni2tJWQEqH6I6AuMSTUCtIgNHkYIhANGrm4pzqJHDZV5cl1JgtFIlUsmFxXtwIY4wSQLQSMqYNcgU\nawAryWNZNvaoC8mTmBGqQpfm1ZVGJG+yXMv7D4DrCLdpRmQCEGlcDGiCnSUZVBMISIMCuZq1vDBc\nkOViV7pG2kGaxrRM3wQQauQgEcR5W4N8x9Wk1oBP40qkVJ6ALDmriDwvenEBYmZQdDKbEWogOnAU\nGUMrF3EgD3BUh4ulshkv7jHiauQ7bk6kdfHIYEsp2B37tDzfXT5vq9CiwEkqs5LvESiIzIjzDBiN\nRPYyGiE5SVG/10hSUt4sOn46f0aoGYjBw1UObuwRci9SqWEA1AGNCwkMWU1KMENWaQEgBjpcS74G\nyPK+BwAvwQFRVuKwlmfyo25FTaC71G4keYbKNsh7sKvErSTLWxcnld4ws0hvSAMPEgFlAByLJmap\nK06SrDWOYnqfvBatzIMLCRbos0ykJKF1ouIUKM+JlIpVkta0v7UE/UKsgbKSdHovEqQkRUn3IgQN\nzCd1h5wDeoUEeStE8heDWyxRClhUVqhGI49qAsAlV7qaVV4prluNG1pytqrUfae5B61kJblwcXAi\newzSroo8ReqxxHtL8r8AKnO4JNlRlxq5p3WT7yLbU+lLxyWr62SX2ixW2VDjJENSBhFE2pbKZZK9\n1YNcZC8D3zz3qgFUnqL1BwCXgHOMOidQ7UAVi8wmDqTMpmdrknZQ+yPtAUvgvszBZREcBhrQLrb1\nLKWZk+RTpWTBNwEyUVWt21EquynvtYxKW+Xa+90EgPMaxK9129NKLfKWWp0Vm/aD9Hkg7mXUDeib\n2iuVJnEp8pkkD0XHlSrdB3QlYwwwq7tQ1DYz9kC9HG5ctM6Amsbm3N3AsqmfQ9Q6hKkEnDMvQR67\nQQ8hcjnnGJgoJNhbmUmbWFbAaAz2DMQAl6RRU33EXoZqIjTPuHKgEqlWxSuSo5KlrpVo+lhU1eK6\nFDvuVQDc5ATgpqU9UKluc9+CyqMCUGdonMxSgMI6d+0zsXKLnpHJDa6bT5x5YKIPGpyPemaAajJr\nZOuulH4FMeDH8rxOwWZR1eD5ea2L6Z47CXaaymtqd4sCri/SQ54aIPYz1H3NM823JiAsA6TB9Cgm\nWa8+12tx4uJAi6SOUOkeiBrJe8w96gmVYmWdQIYpo04CtoJhGIZhGIZhGMa6cfasYDDaWQz1tJbX\nOzMbaZOgrlpwZwRN47IJ7542KKYNRml0Lj86Kied+atlEw57GbWDSDYmVzrKdvrjoTOdjLonG2/Y\ncTNadRXJbEotG72olo3dpK+xviab4EgWZsYyfnSjANfMXtbN6knakIY0A5x1rhs6G67xC9jLTE8d\nub3egoEiIvRKTPWHKLzMOg+rgPk8w+zYowwe4/k04+wQ5gIyADTykniN8cDeoR5kuvHZoZxwOjum\nMxNFZwWjRrPZkp3kddbzoDpDmOhL2kcj8HAkcUB01YLrKDMMANz0lHqHk86K6SZlnc0jR+BcZkeo\nzoEqykbTCFn96eRZ8nJvhuu6KtCuKujstM6ux4ya1QtZiZBr8BHNDGAz2xwCiCTGgWzAlJnCqpDf\n4pUOnR3TWZZKZjrcmKSM1Ayf6WxHSYvS1NSNJf9vNz+n9HRWQ8a1xiGJoIWxzJYFD6oCuGa44GRj\nIHXmL3RGiT0BwYFqnVlt4mCQGAkAnZnCTgwM3bwqP2mDdzvzkjbNykyrzPLHkGaB0MwKL3d9zWxW\n5CbfG3/+zIMK2Uzpqgrsy2Zmn4JuhFWPcy7UGEE3Nae2gT2h1tndugCoJriaUffEAMGPsmZVMq1a\npI3/qcyDAedJ/fB1Vq+MAAeJv+EcXB0lhktnprKJ4dPFERClvSPd4E9pY2BdN/chahwSChnQnWBV\nj3dyDtDYIc3sKZFs9tYNoim/UxmNAah7GscAU1KvYpSPETX512w6BkCVb2aMmUoQ1bKCAWljeTQC\nMt28meKWdDY5S3tWtLPWhWzujn3Z0CrxUbqbRBevDLYxCGRluBtXp5unXPhmpVLi8xQyUw1IOQ5p\ntdM3m5QlBkS3vKT63M7EUk7NjCj1AxBkBTjVuWQ60MxeEzWxL5rV1u7KTne1Lc30Oq1DINRBYw71\nUowoNDP8dU/ar3Kg7VcmbXMMaJ571NxziZMk9d6D6gH8dA9uJKtJ7B1iTzecemo2t4vhhc7W6+xt\nlWZv04pKswqLxfGQmCWWVVVr/BoGhkNwHUHaJjXlw0kamtgdqY3Q2A+sK3ZQkwceqslDkUuVjFHq\nEVyz4ZgoA+UBlHlJq85sI604adwILAwlnkRa9erGJeL0s3h2mVOMhNzJygEyeTZnrrl+Kus2Ls5y\nK4vJcCTPVK0Q2udvz2sdcE3fhGppB7w+D6mM8M6BqyimFunZlmeIeUA9naMuPMZTnRWuPtqNy9D2\nlhjJ6MYl44pknlLXjcqEBv0mjgxrDJk4yFsDiWTE0Hl2s+/0qQioQZ1Zf2r6TKktlTquz/2exExK\nbVYyman6pCYG8kyFKkkoLeJmXja4Oy9pL0ey6d3r66n+ah+Te7msHmUe9VQPdeFRTnk1tIGcL2Dx\npnWW60grqWEofUnvAT90oEruI0FWnwmQ51ImqolYBFQ9aV8ltpqk/2SuMtgKhmEYhmEYhmEY64YN\nMAzDMAzDMAzDWDfOHokUoBv+kjRAN8GkTYAp5kXaEJdIoern5sELEt7dn7cNyDPUhZfl4QxN/Iq0\nLMcOIrdIK9FRNzaNGGHI8MOoy9LyhRTXAADYs2z09kBUj+JYJ4kUwY2gcSBokVxILd9lZbUWuQVV\nafl3SV6kDX95UPlTu7GLaokXQWUNOjQnS7rTk8Ag19gfQJ0DMY9weY0sqzHIShS+giNG5mt4FzEc\n5CgZqCYcKJJ4o+cEHlLr/88MUCHL5YFQ9yRPRSKFRiLVeKwniVQEAN1A6wl+JiBkDhSnQZMD0GgM\nWhjpcuu4WXaNCwtwRdHmQ3cjHOmG2k6MBCo0bkRnI3W7ERHNRutmcxV06b5muCrK5sbYni5t3msk\nQ3ouoJXLxUCoJuS+hLBD7n/mUU5nqAYO5UA2g8YcqHpyb1P5EcmA5LUfpk1opEu7stk7xX1oz0tN\nOe1KHBoZQkzlLcrxxurh/X/Ye7cmyXEkS/OoAiDNLxGZVd3VWz3zsG/7sP//D43IyM70zHRXZkWG\nuxkJqO6DKi6kmUdmdUc9tCSOSARpvBkJgjB318/O2Qvo7WqISvAvueYFIQXDa4CGYlBr44oydVwD\nxNZhafCX544yUIo9e6T6+gMtl4bc+13Bls9R1Lp7NsqqPpPtFgyZBg13qaRW0YZhGL6i0NXyOeji\nX+iO0fDHGG1Zsi+B65rsi3QLQyoCl46IX/VQh1JD2ahwR24aHtPPubY/74ZFGmpgaA2YoLuAkn0x\n1+7LpSN2PLR57e/K9gXt6L75gKFUANSxKLsHBITFrtPvQWvDXAD4F0lVj18cr+/r+IEKgPol+5qb\nIQHlEhqC1L5MXPuInyspQNHxKBGzeicC7bFhiHy5tH5BFYuq43iK/p6hGVe0zIsho0OWI0pHWlFD\nG6t5V0PQNjGzCEdo2vOs2lAkDQEcQ8vPafhLxU9TbF/ubl+E9/te+4D6Igkw1Mwlq+OmkuyeZ7F7\nJ9LzD4Y2HM0QmvyZ0YqNKCDUz2Mc0yquVdGxslA33Yj9y902Dvu5excj9/IvK5AzIV+SG5YsfYxB\nRyc7GjY8rzRsVJ+Fig07NhVuYs+y9zcmAm2WEQIAumfI+9WyGlpWSm0XHER1DK3jSs0J8jwG+2I2\nG5pW1LIIgG4MEQ37JM8LoqINM7bMCGnHqmMIYjx8QbdhMM0kpF+zjfO2nUQCE9t9LIYnQgTUBnZt\nORJjLoqmCH0ydKY8R0isn701h6Pfe8PQbByjYthXuMSOZDnFVdHf/GzT7cUR3uTmNexjgtbrIgCK\nkggkDCpAvESoLPaz2LZD3t4Q1hVIZEiXI0WyGtpomTFHrHD8HGv9iKx/t3Hf2xdK/Vz01Ma+vyT7\n+UISDgg0w9e7gUi5WH8Izxd7fxHI+xV0WUHLU8sj0nUxNO15sTZbAvKLmb5sr4ySzCio/dyz9J8L\nav/n3X4OlASEm71/vAaQAnFdDF/d1/ZzjVZDh4piOlYGAHp+AL6zZgVjampqampqampqauq7af6C\nMTU1NTU1NTU1NTX13fT7QaSIuutBdampLkq1pB7C0a+6iDk/bDv0/Wq7/PAJ+sMryqcV+0tAvvSS\n0xFTQXN8ClcgvikuPwvSXzPSLzvCX96gKSL8Xy/YPkdsmVGeCBkEWv0UMHzFnx78AxpaUTGKsytO\n+5ftWuhquBAtCVrREzAUXlpVBb/vwLaD3m/I/9//QPj0CfLnf0B+TthfGfmZUC4AkiJEQQyCSILI\ngui8VhZGWjJKZpQ1gTegeFtJIND1Bvz0V8iXXxD+/E/ApxfQp6WV6KtDUlkxlAoVNQeDipW36zZA\nQLwwJDwhXgv4tiL+nIDb5q4adl78+gpakrlSLMkQseTIROKemTCU7H9V9Z6L+j2HYVXZ0B26OcMW\nCJrYS898wATAQPH3psWQKJIAKksrkeZnQxT21+5aVlZ11M5LvBWl2R132MjdQLT1a1IyKsj3Myys\nIw7jdZnLhuEi1hmlYxeq0OHZsMeMQLcdrLEjIUDDWZqziZfrEdRc3bwTE6c7D/SGNcR4fD7V+jXI\nkCgNFhxgzh4EytxwE3NO6q5sD52AgJYN0pxwmKBLzxMgR4EIjlC5J3vFDcoazHnEncLyBdBYnVSs\nLzdnqLGxa7M0t5Per6wkbnglZ8Mile3eSCTzdhdFeQru398zTmqbm0OWXz+V3hcqrlazLpj7+Ah4\nFkW0a29omgCbOH5RDKEsxdo4LcBlMXxkcLFpKIMjW9Zf+fDsnLG15lq2S3uWAEeGVN3NL9m4Dlj/\ncJ/85tK0GALSEAE2lxzDH3o2SndqUfCABFJWxLcCdmSU3x3rrEgpm9NY7WPmzqcQjoDE7upTUUyu\nOR/13xHfq7jeYdghw8LsnC1PRkoEs0DZMo5IxPJEKrLm19Km9Z87IxmqR2AWSOSOBY7ObA0VGdx5\n3K2nYZn+fI14U8Wk4P2dxPrs/uyudhUNrG4+A6JYrxfAYfxtuOCAdXG2YyizoZs7o0iEcgHtqaFQ\nLJ9Ary892yqZi5jG6kbn71vHnXr9nlMCCeCXZ3MFUjW02DE3OGJX8bvmwDigf2agKGCx3C2KwZzn\niCyLxceQiu7Zs2Guf0pkw2DFtko9dh8jWt+q2Ry5eP7TDt13czXyvBvAnSJTzWMKDeXM6/BctGaw\nGS7jMxmaC199lptb3gJ3iuv9ReLx/vUsr/rZbZ0tvC4ITAjbZ/DlAvr02t096/Ncs7IGxK0dj+xz\nSgKB1Ql175N0+LDFgAiNfdfHgoq7c8VR6/MCR/MAzfYzXnV2yk92QH59dpSXoP/2E7DvIHpuGK18\nukCWiPwSIYtlXuwv/rn+4llqCfZ5ERVlAcB6QKRoNwTacE9HpXZz1OLtGeF5Af3wAtoLxN3yKrpb\nr00qDq/+uf930qxgTE1NTU1NTU1NTU19N81fMKampqampqampqamvpt+R4gUoBcvpY+uGqfwoeoa\n0Z2FCFgS+J/+0UqZl4T9j0/Iz8G+9X9xRyVHpEjQ3Z68jBbfFfEdiG+C+DUj/PwO/I//BX5+Qnxd\nWhjY/mb1ck0EyVbG0uQuEoIWEsMbQJkQNjs+Z8MnDKOAB/kpePNgqOoIte3Qv34xR42XJ4urF4XG\nAKquK6rmQiAKLAnh//1/IM8L3v/8hNtnxvaJsP2g2F8V/JSRlow1ZQTHo5gUTIqFC5ZYsKeC/CTI\nxZykrj8wlBPC7UeEH57B12wuFms0953quuNTiYAmQBY9lMxJzcGDMoEXu095A5QD8o0Rr1YK5lty\nV5HVnG88SFGfrVSpq5eJFzaEy0veJfWSacNszriUl0uhQNjV7jcNbkvXHXzNoPeblXSDO8AgInu4\nD4DuxlIdIxpuge6GEbwNoqIs7l4S1AKXqPc5KvVEteFRQMURtDkXAY5G+fpDaXhwnNFg/cqcfwAQ\ng7fQnhkuP4A/vRgGUkPEAENYivTaeMWSxuZjsjaori7i1muB0IKJamjY6IIj4iGJYuGXTKAczPWI\nGbQxlBlhCGyr54SGQA3OPhWTqEhXdQiC3QdZo+W0PaXDuYOp4zeBkJ8CZLEQspKou4EkoDwBEtUc\nVYJjbVG9b6n3abK6vlBzCmlucdldY/x5t75v5fQ2LmRFc9fxfknFnZZ27e5mgQwtq+OfI1bNPa+U\nPv75dVrz1fZz5LAI9P0dsu2ACsIPn337AR9yJMmeawtRqwiGDn/e6ninNvQj7DUw0hAeLoqQ2ALv\nlmjXINKuRStytMTm6CNL8HOo97a+f3+2re192gK43D1qE4RfNvCWgdsG+vpuYX4xGqIVAvRpba5Q\n3eEMBxciFA/CK2iIEoSAoqDg96kNwfQACTohfUO37u8xOFaJ9PDDtiG18a+iwVA1vGKpgXxooaFS\nXxNAHoYHBSh6/xfrwxzI3p4rsjTcW/9IgQfxidiYXV2SupMacMAEMYy5dfztm3QM0ocYjgSOCiUC\nL4YuUV4MUf303AIllRxTDTa+yFKdk6i1kZKfzyVYuNwaIZd0hwUZWutjQEWkDvfNnjd1BE0u0c5n\nOI5EbmidLNzGZK3Bqdqfh/r8krtn8S4NIWxBsHu2z7l9h9426LaZ+9ViYaEaDAsXR4It9JXtM3dx\nV8bU72FzSsPpBtRFFZHzn3/avhUZZ0C5/gxDDeMF3CGtVCcyApAQngPSUwRtAs49PFKDh1J6kKpW\nxLPYNGz2PuaYaEHCzdVs+Eyr/bI+++aY5biRu6GVpZ+7Ia1aP1Kt321kz6xQu1beDcHk/Ql8ieCn\nFcGROr0sgOPY5fU+iHB/tc+K/RmOSCnKxT7rdak8IFr70842REd2Z1LrR+Gm2J9WhG2xnwk3aztp\nDn5omOrYT/nv6CQ1KxhTU1NTU1NTU1NTU99N8xeMqampqampqampqanvpt8PIgWCPq8HHArA3a9Y\nWvEJl3yyEKfyHFGShTNtnwPyStg/Of6wOl4SeiltlCRCuSiufwjYXy4I/7iC/+8foQTkZ26lshp0\nxxsMk2BANz97xyWqSxFngG8dhwibldnDZu4TvGsroRr6wUCKoJdn8JI89MdLqqpQDdA1ACmg/PDU\ngqhuP0bkC+H6D4z9BShPits/FuCp4NPrFS/rhtdlw2u6IZKASRFZwFC8rBuIFD//GJDXiPLCkBTw\nfiW8/ekJYbsY4lXgYT3uGBUJ+dndKJ7Uy7baw3pgbSyBHJ2wEidna8NwU4TNgnjCLSG9pO5C404h\nkoK5yURCfvKgobUiUt3tpzosjWX67vCjUHf44eylei9Z862Av1xBb1fI//lX0LJY23vAEdBLyWX1\nMKpnv85o7lAaFZoUCAqwgpKAWMGszRVDlKBCkC1AM0EzgW/B+4z1lbAp0lex6S+lhd6ZqwRhfwkW\nntWCC7X1RYkE4hoo5WVkju7aEhE+LRZAlgf3GuCIJgF9neBejnfUPqlqzlIgdwvxYDM77Om47orT\nMComUEXRzuFiFRkZEciKrjkiqCkCA+5iJXmbl+qeQ919SIawp3yh3ncTeVCku4I8272Ui9j9jAJO\n4sOR1i4NLXY/yxaAYkGZEhmc7VqlIlLkblKh4pN1jNCGIlQsznAKbbiUIVeCAAA7metJdqezXPGo\nAi3FkJ7qrjMGubkrGy0LwmW1wNKXZ3NKeblA1wBZA8rFQgfz6ojUGB4VOlICOFYi1DCp5mC22zNO\nxXAew0JTR0ak97uGPo3OR2ShcGdMYnTiq6FmvKs7sfkznKXjUbcd8stX6PUGCmzBkmkBiQAxuAtX\nRaTc1WfPLXBPszlt0dMFyBGULWDNcB+Ys5zY50hDU7RiRNWhzp61hsXsxRz/sk1RirlJubOX5twb\nODgKm5aGd9GeoIERbu6mSGSIIjpyBqKGUJWnYKhe8TEz2f2SaP2voTKnnywO4XHF0VJxJ6gyrNPj\nvTwgOAMyVe+jOr5Tx2yJ1mfyE7c2M1c19DFoCBBs4YIDLjfiQBUnHfvY4dx4OMZ5aDrhbc0hzY/d\nHbKGc6hvX9/77B7V+oI7Qzp6147rjnz0/AR6uthyd8mUdYGu3fFOEiNfuIUllsUxttSd1SpCNGLC\nYwjiwT2M7bMDfr9A/qNQw3G6ExXYxi8wNcy7rAzKhje3532rbacdY/R70dzyDvcFHels07HPUPtc\nV0b7uUuiIqu1A1VsCo5HDcifYXYKLoQMgN3tEmDkJ6AsK8JtccTy1X5GYP+5IjL2F+5BhIu19f5y\n+oyIgF4KEBW8FBBbZ6rNLv4ZkS/+GbET9lf7jLi+szu1AWELHdkfQgYPfUuAwKcfWL+jZgVjampq\nampqampqauq7af6CMTU1NTU1NTU1NTX13fT7QaSIUF5WL/fVEil1F53mluBltFBDmTyE5uLOMKk7\nw+QLoB52ZqU5L6kBQ9ndHGSoEK7/QH15pQ1qCXgMLmrBPwDv1SGmozgHx6gRgZBeTsdwfFkjKDIo\nR9CSzG3CkYgaGKQpIH9aDYv6IaCshjXc/mD4zvYHgTwpdC14+vGKp3XDn16+4jXd8Bw3/JjewaQI\nEBQwsgS8phvecsK/XW542xOue8TbHy+4bYy3awDt5nrEe62l1nM2dyStTjvs+Nn5lhZzMpFCXqK3\nciVlc9vZPgfwzgi32N1hSr3fo5OEOU70gB0a3CUwlM79fWvZ0XEOaN2O7NyrK1KK0MsC/tM/mnPV\nP8hwBQAAIABJREFUZUF+XVCeI/YnRn6yfrW/Gma3fxbootAkCC8ZIRRcLrsFGAbBEko7B4XhUdct\nYS8BV1pQiFtqTg1oCzdFfFcsfy2IXzPS//4FtFlYmL48QS4R/IcLZGWQBEMeKqLVwrUcl0pw/GBw\ngXF8pbnBiFrI5Oh4ogBvhqdRVGiGBeyNbm4AoAK53YBSIKLmChUcPfFgvnMvaMjUGJLpDlRNooB6\nEFlx9KeGjoUArKshIzECa7JjpWioCDNQXWcI5vzjGIiFM1JDpMpSkUkPnEpAuVjJWy4CTQq6FFAU\nhCCIqRxwN1VCKYxSCJkAzYasaCYICJIUDIIA4ICG1kBt7DE2wvugWjMQuXML+biTHZ9i67tMZA/O\nkmzbnKEqxopmw3y0tlWKdtDAFm5HBKyLOYeFgPK8QhOjvCR3hGPkZ3Oo2Z+6i0lDpIYAroZRSH04\nR4xmQL88XI0zmsPOGEr4m+RYxRja1tyrah9uTkYWSkZYoCGAKyrmiBiYLZBVtWNm1TWqFOj11p18\nRG38ZW4kLW/RstsimWGOutvVcDH1GaKsoL2GqZlrEEnHZBoeJY5GSXfh8YfFu4jf41zsGNzdrw5D\nXR3HmA2rjQHheYEsAZxj+2zcswWU5g0NkdJAx4NpHyNqcCQ7AkMFzeWs20Q5QhfqeOwOZHFEk/zQ\nbd7HbQVopYbPtEA6YLiv/X3qMer9Piw/jf2HbEx6vLxeb3u/h/NHZKWeJw04UMOyav8sCi5izmMV\nvfL7pNF+ANE0OO6NbleDS5UGMnQx2md8xcvOLlLoHydHfKuiUa3NTihRvT/kF92Js8oYQYJdgyS4\n+2H/XAk38p91zB2qTquTXEXDOTsmVp20VL1tTrhuu0fU3O1kMUS6Ov9JIlBhSLKLNFSs/iyo/boA\nIAEldiywnjtngLeOd1GJNkYPGFkNZc4Xf1YikN0xSp7cFTIK+GKfDWnJYFYwW5AxYJ8TooQiDBH7\nzMh7QCmE7RYMM80E2urPV/V5I9DuWNTWf56U7b6pvpdmBWNqampqampqampq6rtp/oIxNTU1NTU1\nNTU1NfXd9PtBpBjIL9FLt7302qbUnQUkOTITvGwYgXJBw2jKRa1cOzr91DCUcKrVa7UjgOEVUl1G\nYMFaxbap7hojBtDC+jxcj7OVkuPVy4a3AYsqY8nV35/N+UYCgdRrnZ9Xm3qZU9bqIkHYXhiyALcf\nDGMoF8X2g0BXQfrhhqfLjqdlx59fv+A13vDPl5/xFHY884Yf4hsCzEUKAHYNeJMFu0T8JT/jvSx4\nLwl/2Z5wLQl/vV2QhbEXxm1PrdSnQlDt5fpz5bm1KQyNggIiBNkZEEJ27MrK7oZQhY060uQUw1ia\nflgOf/TGDafw+ye2IbljhjlxMEoicIngPyzmIkEdD9mfGWUB9s+GnlU0SlYFPu0ISZCWjM/PVyyh\n4HW5YeGCyKWVSLMYgrZJwC8suOaInBmq0RwmIpujlPdhCRW7IOsb2w693UC5gPcL4hIhJaAs3K5R\nI0Ec9xrxvVonbnhJ6SFvB5ezokf3nxubcxEBFBmc2TC+WOw+5wLkDA7BUI89owaGaSn398LxgeoU\nQsH7t6NUx22lH6u66hCDUjTHKilQMTyIKgKjaigQM1TcUSoFe5wjAwhQFXNnqfiRd6CD201FCdwJ\nBKx3BluAlb3V+7IK+1jhB6tjQ3bHlb2OB4pwQ0PTaujjARVSvevrymTBZ4khtclydGcXQ2aUuIfD\niRg2FiMoRiAa+ocUIZfFgssiozxZWGaprmwJyBcfPyuKMQZ5hd5Gd25S6M9YxaYME6oYiT3PozuP\nTdFDBg9uKb0dWuDXwfXMzokYUNTgL9vPQiYdx3heDUvKFclwF5+GKdly3c3RCSqgEAwvq+23Lu5W\nFhqSQ1lhd4NhmOVwalJxMP83oDGGxxgeSICdRymG+zkaOPaFth9g2ODmz5aHK2p1dPN73s776clc\nCInAWRABC2qL1ic1GtpSXXp0cKap96GOEeFWnbAU4ZrNGeu222eYCKrroa7mXKUpoFwMabF+1HGp\ngxvZgO5U17t26eex/YxGjaFyA7Z8t/0JrbrTIxxqRPj8X3tWq3uWDLizoiHODQOsuKm79RkGrS1w\nEIA5pwV2LIob6l1DJptjUug/4/RnkQ6OUQdk0SnKQ58c2uAQDFvvvZNaNcS04VLeODW0UQh2HWLn\nYM5S9n6SDRUUf/4YNkaSBxjyrYBriPD7Zp8ht62jgvvW+jQ57seXC5AS+PUJukTwvqKsAWW19iru\nzCfJzk/ZUGQK2sYriePzOWJ41O91XaVDXyFAqaPfhqF1p0haCkI0HCotGSEILh5iHEixxmwYOg2o\nFAyX2kvALozbHlGEUYSx3SJEGPvV3KZQCHxlC2m+OnqagXj9qDP/xzUrGFNTU1NTU1NTU1NT303z\nF4ypqampqampqampqe+m3w0ipUS4/SE2LKq5UiQ0p5yyoLso1OCeteJQ0hyNsBZQUHOBCYKUipWu\nWBDcFSZwL033b/0b/lOEkQtb+WoPFq5VGHJjoBDCu5WxmBS6Wem7OvVwtuA0Q6XE0QlpZfSKe8Gd\nN8w9opYvDVvQYHiOBKA8efhVBPKrmjvWpwwsAl4KXj9d8bzs+PPLF7ymGz6nK/7L+hNewxV/jj/j\nwjsutOOZbwgQBC8ZFhCumrBrxE/lGVdNuErCv+VXvMmCn/ZnvJeEm0T8sq/YJOA9J3NGUEL2aXGk\nrGJTdSpqjiiGlpBhUkKQYvtBCTlbIM1ecRyl5jxFpaNr3ypv3pe66Vjyrs4fFdeoSFwVOVrnrjkW\noAeU52L9KQnS8451yfj0dMMlZlzijh/Xdyyc8Ro3RCoHh65NInYJeC8JkcXbjXCLgi1E7GKOIQAj\nPxPCDSiXiHCLSH9eEPbu9GRoFzVHkRqGVh1FyoLmDtKdQY5tQgMqVREpC3+k7hazqIVzLezuH4qQ\nDJviJRpykos5XImAth3qzjjkDjzN/UnEysuOCdjt8uC3ioHZi34fQgDFaOFoAKobEojNQWpw0oGq\nI1sFygTabR3tobmQWLgYt1I/YBgDZ7Lgx2JvQXW6G3OhDJRgZX8Rw2Fac6qhfloI2Nhc1jIhvhF4\nI8Q3c//gTZG+2ngQr9oQSSoj8nPCtQZ0ozrSdD6KzDFL2VAosaBDFXfegiFoFCOQEnRN0JeLoSsv\nyQJIm2MUIQ9jSlkdkXLnKDBaaOajMK4+aPbn8IA8Df2sOfI5LsUNLe3uUhVBsY6uI+Vn6EdtGnZk\nI/Z+rcHGDVq4u6FlsWUeckaioL1Ai5o7X0WmUrR+6A5cFWXSGubowVvV4adhLqdrt3NxLGqgncw1\njBzf8r8T1j5MZOF/IlChe1SqSHutowOVB1CSh07SshgmGKMFuFUcUS201Kg/w800ELg6PA0hgWO4\nGrsD1gFtebvZs+4Bhnq7teeUX1+BxfobP1tAaXmKLbSsrP75FnVAs9DmUe819zYb3QPHfTCMb61f\nDuPdt3CpI5LY++U52KwhfAJoDZEkNUyaAAz47ohFcbY2o6LgLTsOrYA/79Swbz+hwJAaElp/Dmio\nlCGzFQFv1+PYllJ9XobrAQ6fg+fPNwAtCLEh582RsS7r7X52Fxs/V9t7j+/hba2ndm+OoMw2Xqna\nWE4EogJlG+u5uhWGYP0pBhvDhrDdhnGNlzZccyPdg7lHgQ2PR0W/ztd1OPnTuorTk+GyHC1ANwRz\nF2RWrGlHYMUlZqRQEEmwxoxIBUsoOPspZrWfe64lIQujKONtT9hyxPtTQs6MkoOF8+0MWdkcSvfq\nQPb30axgTE1NTU1NTU1NTU19N81fMKampqampqampqamvpt+P4gUA9c/1qAZc++RCAt9CgqJClkM\nX5FVzA0qKsJawKHgshQrVQXBU9qRQsFT3BFJcPEpkyB5ja+6KYkSdmWIMq4lIktAVsbXfcFeAr7e\nbJozY6ME3RmSySrgaqXmhuLkHp4WNkH8Wrzs7K4mRFbyS2z4xmpBYPtzDwHLz4aC5WdDFfKLQBcx\nVOdlx7Jk/NPLO57Tjpe44b88/4xP8Yp/Xn7CJ77iU3jHP4UvuNCOH/iGhQSJgDS0dQGwK/CmAVcN\nSJRx1YSvsqKAkSRj1wAmQZSCrAxkoDBjAwBhEKn99su1He7rs2NAmbX1gEzVf9WdSg2XEmGoAJK9\nJiowh4Xq1uOoE5rTzNiJhvc/OEOgl0mriwYBiAIwwMmQOmbB4v3oed2whIKFC35Y37FwwY/pHSvv\nWDnjOWxIVLDyfsDOAOCtrNg1YNfQULNP6Yq3vOCaE35+vmDLAdcfF2x7AHYCvwdQhrs5eTk6n8rh\n7VpGTGAIGRpL0yeHFG7oGdw5ilC2Og/waghLXMgDk4BwZXdCihYiVgR8zRYitu2GKYkAezZnm323\nm1yKO/RoC4JrgXsVE2FuziEteO8Uwncf9Kc9LK31MWoYkaZooWQxgII9o5ItELBetzLMIcePyzdq\nTiyGRdU+wijVWarV/mFoZCHwzZGfbGgU70D6xQKnwqZIX8VCFH/ZwVkMN9kLqhER2EP6Ejd3GeCE\ndTh6Q8UwHiWyawOAwOboVR2kAkMvqwVzOhqliZGfzX1MIpCfGCUB5TKEd62ORyRAgvbwLrJx90Pc\nxJ/BA5YxBKZVNLGOj6NDz8GZp4U+DuiJDM4vGI4PwztItaEetl3FHxVF2N2spONm1dmnhnw1x6oj\nqmduR96XKt7hgXT1ve6cenxGQSA/SSUCeYha659k95iKOO515j0YjbFiAPBAzhjbegLMjSpGO6aj\ngxrYQkPZg9zqdQAWbEbublXoQ8yE1NrJtnM8ixlYzY0MqznuUW2vipQ5kmjuSNVNCBYUCIayYYk2\nTjkaRQMqTL2/ibe1BLRxWhwPeRQkV7Gfum2bH8fBoe9YX/Hr9c8PrTift4VWV6Zh+4ZP+RjCe3XY\nEvt8z4LwvjtSdrUxKmeoj1UtJDRF6NNqLneyWH9L7ngX1NsLoNDHqt5Ow0Uc0C53tipAdaTr16Ot\nH/RARB/nKno+unJGGtrT32r4aK/YY0cd0RBcDPeSI1morEZoEkPFIhuamFf/XEBzW5OKkFVnMiaU\nS4RGQnbHuxHtrM6hkmCoV+0voeJ0HohXP+c9ZLB3+EFnZPrwYwxBof7zB1DAUIWHr0ZENlfOooTE\nAiKF+DgRWRCHASySQIhwwQ5hQnbX0LrfHgJyKrhRQokMoWihurt/Jv6dNCsYU1NTU1NTU1NTU1Pf\nTfMXjKmpqampqampqamp76bfFSL1/icvfUW10n1UyEWAqEAUxLUgxoJ1yVhiwRIzXtOGFAo+pyvW\nkBFJ8BJvhrHwhkBywFjYy1aijAIyNEoSdg34pazYJOJWIv7CFjgHALccceOAnIM5IAVAy7GyxhUr\n2RXxXRCuBenf3ixg5v0GvV6BEMA/fII+ryhPycJjFsOjymrowvbZnIzyZ0Oj0qcNacm4LDv+9PIV\nr+mG//L0Mz7HKz6FK/45/QWfwxV/Cn/FC+1YqeATCxYirMQIQxcqUNxUsKtCAHzViKsm/FRe8EUu\n+FKe8C/7Z/xSVvyv6ydDekrEzzdHeraEUtjdoIIRBg8cK4itlE4sXk3v4WUjNlUJBRGreYsv03Md\nfzi+spoTFGl/64pxjCVRn1J1gIgCbg4QGcyCp2QOEC9pw8IZSyj4Ib1j5YzP8YpEBRfe8RquuNCO\nF74hUUGijAvtCNRduax9CUUZOwJ2jSjK+CIXbBrxc3nCTcyp66f9GTeJ+Hm/4FoSthLwy7YiC+N9\nS+bOVdjC+YQtnE8JEG+zio4BPRiyLgd6SKQCKEfcihSg3RAB3hxTKdSCIsvqAT+l41Lxys0tJazB\nEKNbdZYS0G0zDHCL5nbjLlMoBZozyDEpa6RioXsV7REFWGAPlXM2pV+Sdxa/LmcYZOh0TEBaQDF4\nAF3raM0t5w4LqagY2TWruxhRMCet7kwzYgl0QCXC5qF6BQjvHrD5bs9/2HwMuBXEXzbQlkHXDfr1\nDfB2ObhmxWDBeGyuVxpCw6ja26cApAB96rBjRXo0EBAIJfn+kVA8oNOcx+DYKQ3YacUjRueV6sSC\njhTWNmuIEw14xohKWJ9s+IS3DWQMdvT+tnesg7M6duHhZOcxpZ2A35PqgFTPE2gYzeGEwT3w7oQL\n2vU8epPxdt+PQYfjNUzFnAM7WkEtXM1IRbZxCLbtnWGNnar38eHviTWQsjnscMOslN1hzfuL4Ur9\ndXO98hC12m6H56AiX/W0BRZiCQBruG+7B+11uBfnZ43JsTRrd1s+9CnCAd85IFI1oI8N42v9dAic\nU/bP4OYsVVE29PN4gMOMfffDUL2CQzBpddrrTpHuHlUcfy42Dh4CQ0UA8XBEtpBQAIY4agBv2e6l\n93l1jLMiSq1Pj/esPnPuwgY1FJtEQVs/l4pi1numHkKKyChrMIevS7B2jhY+KzW0+OQsNd6nerwe\nrvkAlxrate5LMHytPgPnc+vjnqPjie1nozaOWXuUBe2cDfUa7nO9p5Vvq+5sra/5uZ+ClUenyYrO\ntX4//FxhfVEhbOPlLSoQFLwUMCs4CJYlI7IgxYLAgjUUQ8n9H2BIfp3uJaAoIRdGcVwccCLKsS5D\nwb49Vv1HNCsYU1NTU1NTU1NTU1PfTfMXjKmpqampqampqamp76bfFSJ1+weBJgtIoUsBRcFlzUiO\nsnxaN6wh49NyxSVkrJzxKV2xcsYP4R2JMy6ULVSOBBfawSRYqq0CgOL2CLsGbBogYHwpT9g1IJDg\nKgkLR+zKiCzYJbR9t1iQlVCiAMqWI7YAUEJZrSAOEMKzu0HkC/iSQK9PFvLEjPKcIKsFqmyfA/KF\nsH0ilIvhKfsngVwU+LwjLRk/fnrHy7LhJW34r88/4TXc8F89SO8zv+NP8a+40I4f+YYLFSQCFi9p\n3jysqajiqsBVGV90wZus+KoL/uf+I95kxX/f/oAv+YJf8oJ/efuMX/YFP319wr5F5D1A3yJoJ4Q3\nbiXjtB+Dd8bAIyuvuuNXdaUIOoT59NKl7Yx2kIrxcA33qSXMut0JyTq8b/T3WKRjUoQWuhijOUS9\nLDvWmPHDYu5Qf1zesPKOp7Djj/ErVt7xY3jDhXZceMMnvmJBwTPvSBAEUlzcRav2jkCE4mVfJ0NQ\nvM0FhK8aIcrYEPBFLtg14qusDc/7IhfsEvGLO1DdJOK9LMjKePdwnjGk55YjSi2zuvvWXgJEqKFV\nqgTJFm6IbIgVFXOmoKIW5FMRAA/dG9EfWWBuU4thIFy0O0stbK4zWcApgEoB3aIH71lfVxHQ7WZh\nYdvWwvj0dgOIQNFxHyZ3lBr+nlKxqhbgZ/iBhYoF8LoaYjViRk+rBaNFNhcSL7XXoMLqVgO4w4qa\nE5QGAJshIlp62X3EZMjxIM7oKFBz5Do+B1oRB2HQUwIHAkW2vxalHfr+bpjU7QaVYtdQkbEYgIsN\niObsYgFqmmwqiZu7jKQeSqoMFH/d0Sca0JJjoKRW553qGOXPSnPFG5yz+vVjCNAb2mJES/Y61dY+\nYbP5sBtaEm7awkd5K+70JEdnJ8AxNxhK4hiYBG6ojLneEDT1azBszMcZ0PHa2jDzDfzJr3l0y6ru\nVgCaa0/FuqDmkFSdsJjYUT6bEqmhURkgko48tffSjg9WpMPxqtoGCAz1gDK4S9oZpZPIdq2B3QVo\nQATD4Io13Oe7tnhEpp7ojHM7HfuH9nYTBbc2k75fDZ+rBJafF4B2Py1wzvAuczii5i6prNbPD/3Y\nsKnqrtev8QPXrOHc271tTkzormYVAaznWp9rZVBUD1G07fkleT9+sT6saG5cTeM9OSFsAMC7tPPl\n29iu1u4kaq5gRT1QUkC3YmPv+82CR/cd+vYO3TbInsFLAi0L+OUZWBL4+QINAeE5eZCkYVMSPPA3\n9LC/u8/r4b7X87JnX9vzbs+3gItY+OBe7Nl+u9nnwvvVwyOLfQaEAHq6WLhliqCXFSIKDgSBB2gS\nGWZdPNzYXTxb38z2mXUOahw7dAsLHO+rz1d084ifDZcbar/0/uUBtxqAcrExtATF11VbOC+CWkBf\nMDySgxxQcQANB1dxPFwImj3IdWfUwGE6daPvqVnBmJqampqampqampr6bpq/YExNTU1NTU1NTU1N\nfTf9bhApMCA/7uAoiFGwXiws73XdsMaMxAU/Lu9YQ25OP93hx7CoRBmLO/8wDI1iCMJQYyrKEDA2\nDUgaWzjaVRIKCCtl3DhClHALOwDgKSbcckQMBVsOeFtW5D1ACuH2GoFM2N49IK0A4RZAEkA59dK6\n1hL+UGa7KCQA8lygUYCkSM8b1lTw+fmK57TjHy5f8RI3vIQNf1q+4Dnc8Mf4i+M7e7uuqwbsevx9\ndAN74FvET/KMqyT87/wZb7LgS7ngX26f8SWv+Je3T3jfE962hK9fLpBbAH+J4BthuRHSFyDcgOWv\n5pBTg8QoC8IugKC5eEggiDvYlIU6vrEMZW2qLie4c8no5WD0UuzQhm1TL4Oao4iHM3oAjzlPKDR5\nGyfF+yWCkiBEwf58wxoLRMnCGLngKTAKuLXpzhZAWIY2DVAEUiQoLmRl2kSMAAKDEfieMSiqEAh2\n3VFg7l1X/QVFLeiwwIIev+oC8emuEZsGvMmKTSN+KRfsGvAmC3axAL+vZcUuAV+zYVRZGG95QVHG\n++4olTCue4QIYd8ixB2pZGegEGSzqSFSjkU5IkUChMX781KRIEJcrBQeb75dUcRrdZbKHXfZMpAL\naLsYKrDvvTS+Z8OeSrFlpUBqMJ+H7VEIoMBACuCnSwuTo5RsfkmGg8QAWSI0MmSN5kRSXUgCoVwM\nsdAwBEoFNBTg0O8Exrd5eZ3OfRPojiO2SevT4oicFGpYBxdza6GygHdB+OHJwgo3u1Yq2pAgYe64\nS7LgMllq8KjhCxKoP0eBULxk31GpAVEMw3wNNxuDyfz877CY2hbjtWov1R8Qg9pPNjhios2ZLN6q\n0w4QbgLKjk7sYv2kohPvN+sH15sHNPrDHhi0GvqGYC5bGhm6JnOaCQRZDRUitXEGTO4kRw2dGYPc\njg5D5yd1ZBf6dTeMppymYu3dwgKLuZChOgxJHbDEEI5AFthVP4qKWBjbbfPnwMMpASAlc4kKwfq7\neLji6JLWTpsGTJQO43ANDKzt0MZcoDlwdde1c3sc+z059oMh1LAjRh5iOIYa1nFA1FyNan/3cM4z\nPqRMPTDSMUcwQ5ZgbkLVIa2iPEyD25QF8t2F79V2eYDIPUTiRtxrRH8ZzYWL1MP/Rkcqb4O745wD\nI8e2HF4f3hfobdXObcCjhiBEABaqiAA8rY7mXUCfX4+I3RCKqMnDGR29BGwMZwDYYCF1ROCo33bh\naxiYI1K59wHezOmv4VtZKg9kfZoIQOj3e0mG/aXQXNDG92IPGg07oP5+EgD2z/3x2fa9bFJdEyv6\n5E527CiXjVFogYlc1LCufOyfdl7uvJXcne/ZQktr+J8kRrmgufRJVEhCw8P36Dc4wBytHny2kBJQ\nbGr4aR9z/16aFYypqampqampqampqe+m+QvG1NTU1NTU1NTU1NR30+8HkSJFetoRoyDGgudlxxIK\nXpcbFi5YQsZL3LBybniUhZ4VMB0xqCrDn7iXIl2GTRECbYbAMBpyVNSwoj/Er4alrEdXn725+gRk\n7c4+uwRkd+7JwlZNPtUWmQyxCSxgUgsGZMEl7Fi4IHHBJw94q0Fvn8IVK+9YHANbqJg7lqNfiQoK\nDK0BLEDwqoZ7VZeiqy74uTzhraz41/0F72XB17zgX68v+Lov+Pn9gs0do+RrAt0Y8Y3AN0LYgPgG\nhJsivRvmEK6C5ecNfM3gv1p4mH59g6c1mavPkqDV3WfAV6obzBjS1KTopfYiDSE5lFgBK/mmYGXy\npwiJjLIw8rM5Bm0v5vggiZB9Pr8wJClKUnx5jvglCb48rUip4C9PT7jEjDVk/J/11dyklq+48I5n\n3vBDeMPFnaUSZSSUFrp3oeLOUgUJikCP/ypQXaUAYAehKHnQozVCcKuspAUg66NCDIYAwVzPmAQ7\nRZ9XZGEkLtb33PUsCyOQWD8uAYEFRRi3ICiFLcAvBmghSAhAcfeKZI5THLvDhiRDpGTpblPlZiXm\nvAUrKWegPLG7h1j4nqEyVmbma3a3k9wdpvYM5AzcboaKVERGCygmQ6NCsH7EAbQuhsqwITIaAnS1\nsrVGxygCoSw1aK6HRzUsanRWivcIkbIPFUOp/RDW1exdnOQKaFiVJJsvmbojTSZHB+x1DZYbXYhG\nnML6tfeVIXisBV/VwDHHQjCEjzUEKBouUlGRsztUG44OrCH1RQ+cdUhOaNSASB2C86oji7uN9aCy\n7i5zwFJqQGCK3UWsyOEZhzsnaQwWLnd2BTqN622/8ZqHezo6DOm43VkHBylDQXoYGw3YhU2V+/0F\nAQgdPSF2x5tMNpYxQ3Ox4wa2ML4iIDVkynZkC6qj4z89I5js14thio49NYemMyL0aIAab80ZH5KO\nADWXJYW5yFUcahdrp704yuOYZPHQzexI5LYBe0Z5vzZ3OF5XICXQuvTwSTbnLFoSEBm8hPb58chR\nraG3fo8tbHC43vZM06H/f5Tp2ttifNFRqfu2qm8w7teXHdyr6voaXDc8dyNe1ceJoe19P8O49O64\njy+iol6DmxgP62ro4ojNjWPgg/ZoAXrBjicEIDo+t7Bt9xIPLlijRvyqYVF1vjrjkbt21ee4dvWC\njiA+Qo2qy9sw3tZwz9DQTUV4y/a59bYZxrftoK/v5sR122xMCgH0/AQsCeHlyT53UkB+TpCFkZ+q\nS6EirxXRduez6jrFdPi8MYdCPP5BoT1jg4PmRKSmpqampqampqampv4zaP6CMTU1NTU1NTU1NTX1\n3fQ7QqSAGAUhWJAZeS1OlCCOktwkQJTAZCjIylZSZij2EJCoIEBw0cFFagjaOztKmStQaesU+oM9\nAAAgAElEQVTLUG+r7kEy/I5Xl9Xt5GGtuYv9vex9bD5RRvBaXp2vUyaxbaFIvj27c1E9zvk8d+Xm\nRLRrQCHBpgEFAeKOWaLUzpXJ3ieyhc49YcdWHLmJBVcAsjK2FEA7g3dgfyXwTri9EygzOAPxPYEy\nEG+fwRkIm7irjOMxYsFBtZxryJO4w4SXTLMHMO25O4s4PqO3DZozsO+QbQeFAH59sVCyJUFfngyv\nAIAlAAp3lAFiBIoYoqKBvMTYsalSCJoUt52xRcXtFhua92/LM5ZQ8Jw2XEJuaN7CGa/hhsiGpT3z\n1oId7b7Z8kBiWBPQ7lvvP9T6VFFzrRIlFHf7knoPPZxv19Bco3YNyGJOYaKMm9jrzacCwi3HNi1q\nz8xe2NyjHN/zR80cUYKXat3ACWwmMVQASA0QQ2tDw4EI7K5TNUiNN7KS8wqQsDupGeIWLoZNhZu7\nxxwcpla756ogx0OoIiHMQIqGxyzJEJmKQ0U2ByF3kqluSyMOVd2WKhalA1JkOMVQsmZAgrZS/D1S\nBAB6QiOGG1vL2uO8nuepYxNnNGrUgLMo20YHVxzWgwNUW0anfX8Nh/JzrU43Wkvy46k8RJD6+zbk\nSAlU+wr5mB3J8QRCvli/qJgR56VjE82pSu/er18DdcyJu0NUw2EqSjbMt1BFGl2kBvSDz+/R22S8\ndvX7VtjOl0JHMKqzlvqyogRO1g4NK1QF5eDhaItdszvaUBFHj7wd5B7zbbhTGFCpipiOyEsNHWS4\nm9aISZ1uofTrP6MrdX1ti4d4TvExva7zewQo1HE3VT9fVeiS7No8OBPqrkXVNa7u70F0Grlfq89r\n4HYdFddiSEd/Mpk7D3cMqruGjchPvcGn+9+u4YN+cbftt5e3nMoHoY4PD4LzvaC7MeJuzPlb9NH5\nDus+PNdHi//W9390Dndj1am/0sdtPp7HONbeLauLqqOcByOLKCQl2/ZzOiJnejy3+uyNuJOhqu7k\n18YkP82i4HriGUdM07HGb6F5Z2RuBu1NTU1NTU1NTU1NTf2n0PwFY2pqampqampqamrqu+n3g0gp\nkLNhHBoItCsyK0QJkQWBBdeSEEnwtSyIJEhcsHBGIsHKO5gUiQpWzs1hiX1aEaSKUSXKDWFJZHjG\nGaUKUDD2Pu8ozBlnYvLpEMRmxwXcmAGJyALZ6hSM4CVJBsP8RAICffw7ZVGBwILbeoCboEBw1Yzd\nKu34yht2ZbzQhk0DdgR8KlfsGvBDfMZNEt5kwR+XN2wS8dPlCdcScS0Jv2wrthLwtiXkHJAzY79F\naGZg8zDBTAg3D2G7ViTGppwB3tSxKfUQKvV5Bd/MZYhEQZuAs4D2AIiYzZJYSA8AkDupsIcuFcdj\nNFiQmiSGrI7JBEK+eODe6iXMaPPmvlMdHKyvoRCwM7Qodk3IQcFBcbslMCtSsv7BLEjB+l/yfmhu\nYDaNLGC/3+zLHqm6RYnjT3VZ/aeOAmax+z+6kRVfVoSdMCAUX6e+ryocgwJErLY8rtNSl8E4KCFr\nA3/2qIaAHcrK1l6SFBSooRUicLcpam5CEELYtYUDhZ16CFkLYnJXjzbVI4YxquIwBLvnjglJOods\nASWdECh3ihqdluw4tS9oc4xq/0Jdpu7O4/OE7lZyngcat3CgCz7oA79J3yIqHumATTgWo32+oQPa\n0Swd5qlQK8NrnVbnqICGDVCxY9SgOYj1A/JHFtLdlVpZXwcnlCGY7eik89va4w6jALqr0og7jZjF\nCbk44xe/rU1HZIEOoZ8dlRpxBmvP5jrlGFp13voomK21jzw4B9j6+5C94TT5g+XjPr/WtyoWxh3X\naVil+GolUNS+/eFeDpjbA4ejRzjWw9N4cM4HpGTEv4D28JHCjAz9Dan998H7PmiPh+/Np9djAN2h\nb9GDPqi/Yb/j+g+v+xvL7s79fH2nVR9hUr9p/cN2+/e/128e8079CcChjx36W3u2et849tehD39L\nNLTreK/4OB3v64e4Kvqyu3Hw7rwnIjU1NTU1NTU1NTU19Z9M8xeMqampqampqampqanvpt8PIgVg\nf0/IrCBW3EICsSAEw1SYDUchUsTQUZXkyxYuINKGrUQqhq+QIpJ4GJ/NA0DiAh6wqYpXVfwlka1P\n3B2eLmQY1kJ5QK0KEmVzrHLnquoKZQ5D6vN+PMemAhGSGjKVHKQKRBBVMOghKhWIEWBuJZEAcbep\nonbuoooCxeq41DNldyNi/Mhv2DXir+GCXS2s7a/yhJskfFkvuGnEVRK+5AtuJeJLXrGViE0CftlW\n7MJ4uy0oYmFt+xYhmbBtFtZGm6FTVMgCuAoQNu4BXBuGcK4avoUeUPUIlRlQiOb6U7GdiB6wdA4j\nC+juQFEPgWpgbWE3qLjQZoFNhRQlMIiAG6fmZNZuBelvowwOqIovl852qHREZURX2jxqe4zr+nH9\nVB6WjNu64YRGMuTuGOP+tZp/LjsfcCHHsdKphDucL3m7jhjJXen39D79pI7z9b6319W5qN7zup77\nOq33uCFQvQ/Y/VfHoBRw9ygKCrBhcvU+c7Cxhdn+1fGF3eXOXqMtr9N6GXV+xOaITjdrvFXDvelI\nHbUmaiidLyvi2wgfULszLqcVpxMLVUSdKhyd632ShAxvEXdf835HxdCTvgzHMKhzOf8Og6L7+/6R\n/kY85M7xhx5vdzf/kfR+/iOMwdZRW/eoHUg6ZtT2qaiV6P2+p/dq7//oXHBadrdcHy6/2+fuWulu\n+f376P3y33BO3zqvAw7y6DpO79Pf15+1uv8HIXSP0JhH6NYBixmX1b51dupy96oecHlyPnNcqo9Z\n1Abm0bnujNrcOZ+dEasHiM5j/Kpv9+j1h8/M3fb6eP+7tnq8/OHrus/jxb+22+Odf62v/5Y3bNt8\ne8P754iOyx89x8PzrsPyiiL+hxzD/gbNCsbU1NTU1NTU1NTU1HfT76eCIQT+S2q/gRf/y+Le/nIK\ntC9Mcf11sM9T3a7Oj1P4Xw5J3V57nPa/Ttb8DSJFYP/yNlvlg0mRglchQmlVkcXnV86WLeFfOI8s\nuPDuFY6C1ecvtLcvmNf5C/UvkluVpGCBf2kd0r+M7r/Khm/8Kl+8aQSew6BAIsELdhTKSJRb7sIn\nfUdRxlVTq2p8lRW7BryVteUvvJeEmyS8l4RdGZtEXHPCJgG3ErGXgK0Eq24IYcsRImRf2vf8Bcn2\nJxL1KfxLoOb/fvwr/v1f5z/4FZ6GfoDTX1ke/IXGthn/dOVT8fMBAXv/w5z9JYH6H+oenGP/C71/\nMdb/MnH3Zdfxi6DF3/78l99x+uAvpQ+b4aO/6J7+wtX+SjbMP/qy4UMf8kd/FSOFfNDGbbuP1j1Y\nXv/Cd/hLWjv34X4ymt+97a+HagT5cYgVxOhVBVKE4M+2VyYIQAwFTEDwSmjyqidR/wJ/rZZaNdRu\nXq2OAmhV0VoltdP06TcqFsBQqfALtPwSu7hcs3j8C/+ijKy9WlF8vggjC6PUL/8rIZe+TkQgQpDC\n9gX5QvZFWfGvw9bnz9uatH9Z9Vunf9dHP/rrcl1cj/eNasRh+Tf68/ELl3q33aEffdQHT8se6vyX\n0PO6R1UFHV8PlZvhC+J9Ozq8x10VQx4sH97ro6pH/0s9HfZ/dK6H9x6Piwf7/JZlj97n8Frvqz51\nO//MahWecw4HYFWfIbOAVH1ZPbZPD9spWt5InffX7X0eqFUyPL+g5pBYNgv17I7Q17XMhViXoVU3\nemaC9u2GnJaxKksMqA4ZN6DDOH6oeNScnKHf32X60Ph5oPfHqPPn5fXmPXge+77H47X51o56eP3w\nuXv02XxY/2DZb9GjW3vouw8OfNd36bis9UU6LKsVXVvny8b1o9HD2WCjjo11ejJd+XtoVjCmpqam\npqampqampr6b5i8YU1NTU1NTU1NTU1PfTb8bRIoK8Pw/PQPgjGR8c8ePV33ov+xlPfVt6vdvdcCx\naqmyeeMTvMSp0Ni3QxSAAYriWIYixmJfSo/FvlgeBEs0LGqNGYntC+iXsCOS4CnsDa96ChuYFM+8\nGVLFe/sieqJy+II5kxy+XA70DA8ACA3T6N+cq/hFxbFAwEV3iP8uu6l94XzXiALDNTYNEDA2jYZd\ngHGThALCLrGhVKJ0mL9JbFjHLrZs86kot/kyYh8D6lG/tFqkf7nVqt1kX14dpgDsS6zDF12haF+u\nPnyxWoabr17mbIgSObaFhm5VD/uWBeDzbbkAqF9W9+wH20+HHIgHyzwPAgrw7tPSy/rNK79yb+cy\nPlH7cuH4ZcKxTG/ztVxv24h/4b2u09a3cSzje+le6hem63PB8C851vXay++1af2L9O0L2OOzFer8\n8ByxAv78gGAIk6NPYcAbw/DF64o5VbypYo0j6tTwpgF1GpGmR0YQZv6gp9d1H/VnT9vrqoD+nD1S\nQUee6rQuyxIaJlWfFVbuuSkMZIHn5RwzVCoelUtAEX+GhBumiLptZsOiMrUslJp/Qpm8H1Prx9bH\nP+7vh9cDHmDIil/0A5zm4Re1W5YFDWjcCe0Ypwfcg47HqYhJ/ULqAySQjmTS48+bB3zY3ZJhh7sv\nFav917Y4oBV9WUd/fMuHKBWObXleJsdp5Rc/Rqv08N4HXGr8oukjLOTcEKfj3M0P+RjH69YjNlLz\njwbUqWXliNr2UsfFEwKVxdeL76NAEX/toS2qQC6ACDQXQH3ZnqG+70HMoMBACAARKEbrOEsCiKAx\nAMw2n6IbTQTAx1+Ntk4S97F3xKbaOEvNnKT17QNOVX8W0eE1HYwuxnmqy6p8/QFd0r7NIzyqoYis\nx/XncZvQ8acRpwKOGOv43r6e6LiuGWAMz+jheDisPi579Kw++OHxsFX9uWHor20fPa4fs4NGY5ZD\nplD9uUO0/ZzQx0V/zXU//4yrP4/4tkre/2t73l/Wd9WsYExNTU1NTU1NTU1NfTfNXzCmpqampqam\npqampr6bfleI1Kf/1kuUR8eJOn8uFR9LrOOyuv3hWBhKhwdcquIkOGEmnqnAFTMBwGQZDHV9QltX\nsRJJisLAntA8+TWpYSJRzXufFZw83yOVlvWxxIzAiiUUpFCwhuy5HoIl5ANSFUixcHaXqoxA5noz\nYlU1w6NiVbaNI1QN9ziWhitaFbxxL77+onvbpgTDMipaVZRRwA37EDWnqtKwj+iZHKEhURWnqnhI\nUcIm0XAPCc0xp84bCuL7ltDxEGGIAtmXlcINn5I6XwwJ0VOJk4QAR0EMb6I7/KPiIyMmwhm2fc31\n8GWW9aHDdgouagiUwOcFlBWUrXxPRUB7AWUB9gzyMj5uG7QIcLtBS4H6FABoWUAxgpYFCGzl+5SA\nGKxcHxgaAjRZyV6WYChJIEhkSCRo9FJ+MIRKa992h5Pap2vmCE79vJbraVjXvN7Vn6sAr0FTdy5R\nHErsYLUcCrJpdXirORSGRaE5O1UcqqFRpAccKpIc5pm6C9S4DDCHtTMOBaDtY89Bx6OqHrlDnRGo\nOj8ur8hT8W1q369YlKA6Rtmz0Fyi1Pr5LoNzVOE2FWGUQgfXNi0MVBxKAdoJJGT9tHhOyW593/qx\n3RveDfejXPu8tvUj3sfZ+3nRth2VE9oyjMfVqaeOt8BxvAUNY2/wacXy6vxhjB76IvU+2jCSigkO\n2NTZYefsSlURENuun+dvRnZxR3QcPo/u3KUerTsjUsP8I2zq15cp7j47z0jVeV882Pd0nn3fB5/R\n6MhT+4w+LbtDqE7OUG06YFF9mfZlozPUmVIkggYGmGx7tsGJFj+PimWN+GlzjrI+WV9rMOQJbMcD\nc0eVQrA/BzN73+TWn5v8ehUVoalMjE1ZFQ11VUDrWDr044YGUsel6j4HdPCEE46IK9C3v9uu9v2G\nXlG7XaNT1XhcqmN7W0eGTVXUB36NdHytvm3vMOM8jsuH26J3Dxh+9cG82+O8/QcoUvt54bzNo+3b\nM9e3v3umPtKIQ/m8Um+uv5dmBWNqampqampqampq6rtp/oIxNTU1NTU1NTU1NfXd9LtBpLgoPv23\nt16yrE4R1RGizouYO4Rqd4coAuQMqBpSIgUoxefdKQIAiEApAsTAkkDsDhEpWkkzxe4CsURoIEgK\nXrInlIUBBsrCrWxfUp/CkSpJAz5VnXoiGj7VSp1JIQG4Re3OOu5KxamAGOBgjlSjK1WKpSEhicWn\npTniLNyxKsOjpCFVkcrBCYdJkdyBqiJW5/n6+pGK9t+Be1gYt9ctDAyDU1Sb5zs85JHb1BmPqg5T\n3W0K5hwFHFykWkbTAUX4Rr3Ry740loFr4NFQwmyXXFEfd4yQ6PhIcsxKHUVxNKo7UnWEqs/39Y+Q\nAeBUxm+XQ4dzB1MrPfdSNzVHqBb4VEvxzQmK0ByjGpaCAy54cAqpTebnp/XcyRtq3FbINqhleW+3\nek4gghY1x5JiByVWw9oIKO4YBVLkcAzHHAMygy+rzwYBDamCzzP6NvUfgOYUdXaHOqNQ/EEtXYaG\nGV2i+rz19dH9SZUaBthc04A2nx3vK0oQd4Uy/A9Qf61C0MyGIxTvBI71sZBjTo5DNYSPGgbIjkHx\nGYcqQKioX50vCt4M+bN5w/t4c7xPBHTdbXrbgZzNreeE+FFM5s6TEmhJQIwgx/vADF2TTX3sBXND\n/DrWRw3r09j78tiP74LMQkc8Dk48IyoC3298pr6FSX00nJy6yWOHqQfokZ7WPVo+ui3huP68zxk5\nenjctuw43hy3HRYqDmiVbaeH1w+vEWifxYdlMr6AtbvjaQoCsaJ5cR3ObXgxfjx9EJr3Eaby8CNh\nDNhr2439go79oaJE49hb14/9iY/7t7532u/geKZ2/dVdiCo+IyOypHf7PurHvx68Ol7HePxxvp6n\nPljm26LP23tofy+cj6mHZXVeTq5Sj+2j9ON1v6ZDv6TH6xQYQyHb8urSNiKGDQOk/jyO69qUBse9\nYTo+r4dAvn/Htf1GzQrG1NTU1NTU1NTU1NR30/wFY2pqampqampqamrqu+l3g0hBFfy+t/nupKGH\nbUBkpXTAAu+qiA7zY2DTwe3h4PLg20ZydIQGt5LH5fdzGFkNIZNhu+pucgi3qaWwYvNEhlVQAbQM\nuEo2RwbZGGBFCcFcdgigIIZNsdXUxuCxEAzSYLJgPxpcdUZUpGIiAHoI2d+AiXyEiABHTAT4GBWp\n255xEQANGdFhXRle2xSGjAzL1JfZ1GqvokPAXusb6v3CWJ2GEalaUE7QhjzVEmUZS5l+Lz8uedKh\n5Fnf8uAac0YYcFqOYRlO2/wWDbdBT+Xlw+tx2akcfrfc9/m4xK6H8vcBqSK/fqk1Y6rN38+F3Xmk\nHn8ov0t1KAGQ2RqJqiMVoc0z9QZkPk6JujtVRabq81LXj1Me2vBRiNO3pK2vH1+PYZH1dcf5xn7c\n+y/qeu/HNTgSHopn44pNqfhUqI8z5eRWBLs3fkvM6MXHK/J9JVm/LmXo5w31Qw+H9Pd4jP/pqa93\n7A849fN6XrXNT7hJPWeb0h1qMlCa7tJj56be3yq6oIfjogWEffhM4MHrv0G/6Vk+jQH34wY+dnI6\nt+2wzZ2DUz1Ofe/Dewz35Hx/xo/YM3r0tz0WRz1oT6UHC+l+eb8XPsMfra+b0cfrzudyGDvp4XZj\nf/tw+0dj8HiMwzI6LqvDnfbtxzHoMB4P2NZhvR/gYT/+oJ8/PC6f9jvM03HMb8/vo33ofrsHny/3\n53V/Dd/6fGv6dzyvdsD7+Yefv+3Zo77No+e4PY/3xzo4uZ32IRm2fUynfxfNCsbU1NTU1NTU1NTU\n1HfT/AVjampqampqampqauq76XeDSCkTtn98tvmhVN5LYMfy9qH0diqZn90Zzi4ObdlQ8tQT1tHd\ndGg4ji87uZGMx23LGBZYRn2fu/Ny56iKmBxcFABDH8imSgqVAJBC/JyIFIWDN0932ukoyIB8HFCR\nIyIyll+/JyLSLuMBKmLL/fWwX99m2E5oWA/gsF3fHnWftg28odGWHebrmysMbWolaQuaI/XjNu7C\nz/WMO9UrOGALaMvGUipwXz5ty3Dc78N1fw/9Skn/I3QEqM3jWE492ep4ciirD88hTq/bM6/D9jiu\nr8/Iab34PuVw3qfnadh3XEbj+vN1feBQ8ojk+Ft0IE1Oz0ZbNvZr4HHfbScENORHAYUOTiZ631+b\nvRrdOxGhl+zHvnsMZqNDif8e6en73y3Hg3XDMT5a9vA18NBZ7U7f2OTh0DaeS73ucfmvnfvpWkc0\n6TdjTu1e+FhdhuMMoXWti56CDWtAXT+uHs6FSut4vZONgXV13fB+dn2/bRA64EIHpIiO07otD+vP\nSFND2/p4MR7jMLZ84Pr07WX1PI/P1V2g24MH//gonre/2/yxfuN2DxGyD46h5z9Njz8v3S27P8b4\nc9eHmNXd/Gk8/5XtH27Xlp/6Cf3aeT66Vtzr3zN2Pxx3Hqz7YFw4/zxgy/TjcRPH13/jj19/k2YF\nY2pqampqampqamrqu2n+gjE1NTU1NTU1NTU19d30u0GkwIT3f0y9vHVyIngYTDNs1wKTxn0rBnXe\n74Nld44IH23ftlM8dNU57wNYiNiw3PbRdu79ffVYxivkeAdVrqS7n6Afq9bRiHCsqbVK46+Xb/8W\n9OOuUq7n9XS//BH2Ubf5rct82pCmA3ZxdMyhsexY1w3HpnH+vO7B8b6Ff7R5fON4eHCc87LhOh+5\n0JznHyIL/5GS6rnU/oGTykdl6nuMYdjmwfNxv+5Ywv+wpH7Y1y74oaNJfQ7x4DjwfR+V38/bfHQs\nDCjFo3L9qEe17n9Pyf5u/9P744xI6LFLPER77p+x45R8u/v1d/300bbjKf4KQkCP3vPDZ4vuz+m0\nz68+s6dn9IB+accZzsiCnpxhSDGgZAMCcRekNeBQFUsCuvPXYV/b9iECVTr+RKJDMGddp8d5kc6r\nyhBWW7eT/5+9dw22bbnKw77R3XOutfbZ596LriyQEUI4EFwGBInBxo6N5YQiRMGJjRVjKsQEhZgU\n2IECx6EcHraA2IVBPIKxsTGWAyYEkMtFDOFphCQIoQQWBsIjPC7ikQQ9kO45Z++91pzdIz/GGN09\n5177vO6+V1fc8VXtvdaaz36Mfsw5vv6GHZ8BZnDdVrr97Rq8CHSnGQ/N8KjSlggif0htkNHf1FOi\nYrQT27EdVaZRnVf7wvI4oOtHeurVsf2GS5SiKxrmw/Aj75NWdt/HPQgu9d/t94JCdD80NPtd52a0\n7Lf7PlmveYlqdcVYsey7V9daX3dNl1/n5S7bFnk8su8pYVV9d1Ndu3KsPzr2Pw12oXAPhsPhcDgc\nDofD4bg2POUHDCL6WiJ6goiYiD70Hsd+ARH9iv59yV2Oe2J9LSJ6HRF9wlNNr8PhcDgcDofD4Xj6\ncB0Uqe8E8OUA3ni3g4joYwB8MoCXApgB/CgRvZGZv+8a0nBPMAHTDbpMgbiCKnXV/mM0qnXgl7Xr\n7ErKxoomcWVAmP73Kl/EekwhVXnqdpa1OxIgrF2S3A64wuW3vOHxzZecbFcxa9bbF666dvF7qR7d\ni+ZQk3oVdaG089cBZy7RGlZuxcsUh9WxV25bUyH4yuPXxxzdDzQVmC5N9RxT68HyXi2PvCzrTjVm\ncV6Pe7lpV7ibu/hKxZVjrm87buUyX6i7wb73n7T6fbmtX7X/bufYtt71fvwaq/t3+V3QHy9dg1t5\nrK9p+cTydzu+byyX73ucfrY8Z4Fjbf5h3f7rNNTbcvu/NrlLfcTKbvtzrqAEHO8nuGVj1a7WVMb1\nues+YLGtO/bYOYt2WQCGqGhxPUfbb9Dj9JO7bURdv0Us+4ocbsE4ZSPAtY/TEyxgIjOYqMaXFZEw\nAmWWc4j1egxWuhTXtOnNmIHE4F4hShWmiBls1KbS7VPK1fJ4rnVS+6VS6vdKl7Ljar0diRJGoR7L\n4KbepGmhFZ0JABBCs4Wj+7vvREvzvxet6X5pT3frS49SVbttl8qFL38v5epj0JVxj/V1DeFynoiW\nZSTHhfa7p5yttx2jqNn3FUWtqoKttwFHtmNJz1qPK9156/Ho8u9l3pfzvGPb1gWES7irctdTwD2D\nVt592L42POUHDGZ+PbAyruP4JACvYeY7evw3QR44HvgBg4jehJb2FwD4RWb+0w96HYfD4XA4HA6H\nw3G9eCYXeb8YwI90v58A8Iq7HP+dRHTR/f5A+8LMHwkARPRCAK8H8KXXl0yHw+FwOBwOh8PxsHim\nVaR6x8y9XB6vYOafrQcTva7fSUSnAL4bwKuY+YfWJxPR5wL43G5T+al//Hn/zwOn2PFcxymA2+/u\nRDjeI+G243gYuN04HhZuO46Hwfs8HRd9Jh8w3gLgJd3v99dtDwwiSpC1H69l5m8+dgwzvxrAq7tz\nfpOZX/Qw93M8d+F243hYuO04HgZuN46HhduO42FARL/5dFz3mZSp/Q4An0pEN4hoA+CVAL7tIa/1\nDQDewsxfdm2pczgcDofD4XA4HE8Z1yFT+/f06edFAH6QiH652/c9RPSRAMDMrwPw7QB+BsDPA/h+\nZv7eh7jf+0MeTv4YEb1Z/77xqebD4XA4HA6Hw+FwPHVch4rUZwH4rCv2vXz1+1UAXnUf13zJkW0v\n634+jLbXq+99iMNxCW43joeF247jYeB243hYuO04HgZPi93QUe1jh8PhcDgcDofD4XgIPJNrMBwO\nh8PhcDgcDsfvcfgDhsPhcDgcDofD4bg2+AOGw+FwOBwOh8PhuDb4A4bD4XA4HA6Hw+G4NvgDhsPh\ncDgcDofD4bg2+AOGw+FwOBwOh8PhuDb4A4bD4XA4HA6Hw+G4NvgDhsPhcDgcDofD4bg2+AOGw+Fw\nOBwOh8PhuDb4A4bD4XA4HA6Hw+G4NvgDhsPhcDgcDofD4bg2+AOGw+FwOBwOh8PhuDb4A4bD4XA4\nHA6Hw+G4NvgDhsPhcDgcDofD4bg2+AOGw+FwXAEieh0Rfek1XzMRERPRy67zukfu8/L2xokAACAA\nSURBVHwi+j4iOiOiJ57Oex2597WX23sC7iffD1s2JPh8Ivo1Irqt13nJw6bV4XA4nk74A4bD4XjW\nQCdNTESvXG3fEdG7dN8HPoNJ+kQAf6dLxxuJ6G8+g/d/KvhMAO8L4KUAPurdnJbnCp5Oe/ks/fsM\nAP8ugATg867p2gsQ0ScS0Q91bS7d53mfT0S/rQ+130VE7/N0pM/hcDz74Q8YDofj2YbfBPBfrLb9\nOQBPPtMJYeZ3MPPtZ/q+14Q/AOAnmfmXmfmt7+7EXCeIaPPuTsMxPM328t8C+Hxm/n5m/iUAPwrg\n5tN0rxMA/wrdw9K9QESfBuALAPwVAH8cwCMA/tenJXUOh+NZD3/AcDgczzb8cwAfRUQv7rZ9KoBv\n6Q8iov+KiN5MRHeI6NeJ6Ev6N61E9Dwi+hdEdE5Ev0RE//GamqQeky8nom8goltE9AQR/cXV/i/V\n768B8O8B+GK9zhO6/Qki+vRV2piIPla/P0pEr7V0APi4dYaJKGr6f1PT8ToieulVBUREN4joG4no\nd5Uu81oieu8+3Vpmf0nT8poj1/hkIvoFIrogov+XiP5hty8R0auI6C26/+eJ6M/cb9k/RHrvWlda\nHl9BRP+IiJ4E8JX3kw497+/qeVa/LyeiFxHRD+p5P0pE739Fuj+RiH69+/2pmq6P6+rtFhF9dHe/\nu9qLYrzK5q5Ix4sBfBCA7+s2/wcAfvpu5z0smPlbmPnLAPwfD3DaXwXwNcz8z5n5zQBeCeBjiOgj\nno40OhyOZzf8AcPhcDzbcAvAdwH4FAAgot8P4E/g8tvQAOCvAfhQAP8NgE8H8Je7/V8L4AMB/GmI\nR+SLrrjfZwD4BQD/DoDXAPgnRPSCI8d9NoCfgExuX4j7px19NYAPAfDvQyb9f+vIMV8M4OUAPlnT\n8aMAfoCIHrniml8F4E8B+E8BfAyECvXN3f5PBPBaAN+uaf3s/mQieiGAf6L3/WAAnwDgJ7tD/haA\n/xrA52jaPxfA1O2/V9k/aHrvp64+A8CvQOhBX/kA6fjLAH5Wz/tuve83QurlDwMgAK++It1vAPDi\n7mH3TwJ4u34CUlcRy7Iz3M1e7tfmDB8O4LeY+W36MPbVAF6CZRlWENE/0Ae5q/7+97vc64FB4lH6\ncIjXAwDAzL8K4AkAf/Q67+VwON5DwMz+53/+53/Pij8ArwPwpQA+HsDP67a/DuA7IBMqBvCBV5z7\n+QD+lX5/FDIh/thu/8fp+S9b3e97ut8JwB0An9Cnp9v/RgB/c3XfJwB8+mobA/hYCE1kAvDx3b6P\n79MBYAvgDMCHrq7xSwA+5Ug+b+o1X95t+4N6zQ/ptn0LgNdcUVZ/GMC7AJwe2bcDcAHgFQ9Qb7Xs\n1+V2r/TeT13p9X74IdPR1+/76HX/WrftLwJ4+12u+QsA/vOuTr4QwI/o78+9Kt93sZe72twVafgf\nIA9Hn6bpZwB/5S7HvwDywHbV3/veZ72+TO+V7nHc79fjPmy1/ScAfOH92pH/+Z///d75u6+FWw6H\nw/EM4wcAPEZEHwV5o/031gcQ0R8H8DfRJqkJwG/o7g/Q3/2b5Tddca+fsS/MPBPR2yATtOvAH9B0\n/ES37SdWx/xbkEn9jxNRv32n5191zR+3Dcz8C0T0Tog34ufuI10/DeDfAPhVIvoeAN8D4F8w8wEy\nAd1AJsJHcY+yf9D0Dri/uvrXD5mOn+m+/3/6+XOrbc8josjM+ch93wDgTxLRDwJ4bwB/D8DnE9EI\n8WS84cg598KD2tyHQ+rsX+o9XwHga4joTcz84+uDmfl3APzOQ6TrYUH3PsThcDyX4BQph8PxrINO\n9L4VQi95bwDf2+8nopuQN7q/BuDPQ+gvfwcyWQXahIfv43bT6jfjwfrG0t0PRDR0++4nHaf6+TIA\nH9H9fTCArzty/FOezDHzrPf7JMgE+8sB/JhOmu96/fso+wdN7/3W1dlDpqPWLzPzelt336vS+QbI\npP5jAPwYM78DwP8Nof78CTzcA8aD2txLAfw0M7+Vmd/IzJ8D4FchnqhLeKYpUgDeBmkH64ek34dn\n9kHH4XA8S+AeDIfD8WzFP4VQUP4nZp5Wb/c/GMBjAP57Zn4nABDR+3X7fxVAhkzAfki3HZ2MPSAm\nCOe+x1sh1BvDh3XffwXADOCPoC3QXa/d+HkABwAvZOarvCw97JofDfE8gIj+IKQ8fuE+zgdQH+J+\nGMAPE9FXQh40PgLydn0PeQD5ziOn3qvsHzS9v4WHq6sHTcfD4g2QdRJ/FsDrddvrIesoHkPnmTmC\nY/byQCCiHcSr9EvdtkcBvAjAj11x2hcB+Iq7XPb8qaRpDWbeE9FPQ9bQ/JCm8QMgtMb/8zrv5XA4\n3jPgDxgOh+NZCWb+N0T0fADHZD/fApm8fSYRfRuEs/9nIQvEwczv0u1fRaLwRABeZZd+Csn6dQAf\nTUTvC+CMmX8XMtl8JRF9r167Snsy85NE9K2ajk/TdHzJKp9PEtHXAfj76kH4KcgDy58B8M+Y+edW\nx98iom8C8NVEdAvC3/96AD/AzP/X/WSCiP4o5AHiByCLlv8zyEPFrzPzuT5wfC0RFQg16YMABGb+\nXtyj7Ne4n/Q+ZF09UDoeFsz8a0T02xBvz9/XzW8A8L8A+Cm+uyztMXt5UHwI5CHlVUT01yFrdv42\ngNcz8yXamKb5KVGkiOh5AF4MebABgA8nogzgl5n5NhH9bcg6jr/UnfZ1ENrWT0Ie8L8KwBtYFKUc\nDsdzDE6Rcjgcz1ow89uZeX9k++9A1IE+E/LG/eNwWbP/syH0mddDFjzbG91L13sAfAWAxyETKJvc\n/Y8A3gxR0Pln+rvH5wD4RQA/ovu/BJfx30Em3V+hx347gPeDTP6P4fMgk9z/DZK/38Ll2CF3w5MQ\nmdPvh3hQPhnAJzKzrVH4YojK1Nfp/q+Cvom/z7J/0PQ+cF09ZDoeFm+APMzY+pnXQ8rjjfc475i9\nPCg+HOIFeh5kncp3AfhlyAPP04X/BJLef6S/36S/P1J/vxDyAFLBzN8Esf2vh3h17gD4C09jGh0O\nx7MY1CipDofD8XsXRGR8+ffWyanjWQqvqwYi+hoAN5n5lfc82OFwOJ4lcIqUw+H4PQlVoHox5M3r\n+0Hexn//c33C+myE19Vd8VKI58fhcDjeY+AUKYfD8XsVAbLY9WcBfBtk8vrJ79YUOa6C19XV+DBI\nuTgcDsd7DO6LIkVE3w9ZdFggC+j+qi3cIqIPgqi9PB/AOwH8l1ctNCSiL4AECgKAb2XmL7ziuCcg\nQYd+ttv2OgBfwcz/8r5y5nA4HA6Hw+FwOJ5x3K8H4y8w80uZ+SMguvTf1O37BgD/kJn/bYiW+j8+\ndgEi+hjIG6mXAvhDAP4jIvoPHzrlDofD4XA4HA6H41mH+3rAMI1xxaMQTwaI6AWQ4EbfovteC+AD\niOglRy7zSQBew8x3VBXmm/CQLnAiehMRvVn/fpuIfvhhruNwOBwOh8PhcDiuF/e9yJuI/mdIEB0A\n+Hj9fD8Av61RYcHMTERvgSzWe2J1iRdDZBoNTwB4xV1u+Z1EdNH9Nj1uMPNHappeCJEL/NL7zYfD\n4XA4HA6Hw+F4+nDfDxgWUIeIPhXA3wXwctu1OpRwNfpj73YcALziyBoMdL9PAXw3gFcx8w+tzgUR\nfS4kCrBted/NcLpKBct3W4fC3L63C0lSwxVJZr2G7Qp0+bjF9bsEELXj7RQGUEpLC5H+re6//s0s\nJ+dy5Nrd+dQdb3nv07W+X5ATmLrbFj0nl+V5ABBCuz/hsnVYJrn7rOWu51yV53V91aJclWt/nf6Y\nmq7++t11+vq/tDapO76PKH0/1n7MvkLnPKS+cNf5XudVvxxtdXdJzJX5wtJ+axpaGXKf7yNlRoxm\nE4s2dCQPNa/9te6Sbrrqh17T7ls6u6e7VcoR1LI5dotj/UH3GZo9cW36Ld9U9PplVTbre/XXrPnQ\na62PW7eB+8W6vPvr05HO+apbHGu7lp5j5WO/73be4vxV++1vzMufdcPa5Nb7+zQdy8slrNr7VTZF\nq7TS1cVWk9fXX9F+u6zLIXS2dSzN+qWWJQBetYF79Ql361+P1en9YFEe3QBwzGb7NPblwUX6x0tj\nqbUjuyAu183d+rmj9b8ae9b71uf29ztWN11S65dL44D9a21vOTbrv6Kf9zP+X2kj98KR9JXS0rOY\nn9yvHazG6avmVYuy7NJs8x8isYNjfUG9fn+vK9rKemzrd5YubRSWu20ORQQOR65ddOy7sj9etSe7\nZs3/Kp2LU+/Dfo+V77r/vDSGHLkpM/bz7QMzb45k4inhgWVqmfmfEtE/IKLHAfwGgBcRUWLmmYgI\n4tV4y5FT3wLgJd3v97/iuHuCiBKA7wTwWmb+5ivS+WoAr7bf2+ER/lN/6LPlRwEoZyAX0P4AHCbw\nNIHPL8DzDD4cAAqgGEHbDSgl0MlOjD3FVtF6Hg4TEANoGMA3bwApgkMA6cSHLg7AnMEXe2CewfMM\nIgI2G+DRU2AcwEkmnDRl4B3vAt++g3J+gfjIKTCMoHFonW6M4BSBoVUfne+B/QH5bW8HcgbtdgiP\n3ATGAeXGDjxEIAWUJOkKFzPoMINunUl+DxOQMzAk0MkJeDMA44D50R14DMhDADFAmTH87jnobA+8\n9e3giz2YWcpoSKBTzc9mkHsWgKzDAGqDpsMETDP4MIHv3AEfDnKNcQTGAXTjBDwkYDOCiaS+phk0\nZ0DviXmW6+UMPhzAuQBcQCkBwyBlRgTkAp5nqYvdFrTdgh+5AR5aPdGUQXfOgf2h1ikzSz0Fks5n\nHEAhACkBMUjHo5/HGj/lIp2lXpP3B5Rbt0CbDcLpDSAlub5ejzcjMCRwCuAx1evItRiYi5TlNLdr\n2+TW7DJIp8yanmqD+6mmBcy1rOrkN0g6pOwS+MYOZUzIpyPKEFAGQt4GcCRwAMBAyIx0OyNeZAzv\nOAOdXUjdXKjjkfQhigs4l2rzlCKQEng7Xj15q+VL4BiBAClrs/dcQFNGeNcd8NkF8tvfARoSwmYj\n7comtnXiVlp5rick01ztQwY03Z8zOBfwdABCFPuOUs603Uh7f+QUvBtRdgMOj47gRCgDgTJAM2N8\n5wHx7IDw9ifBFxfg84v2QKQPmZRSbddISWxsM0qdxgjeDi1NpYBm7VNKaS8UroJNUkPQQVIH7RhQ\nNgN4COAUUMbYBlEWu6FZba+fgLCUfdh3/cf+AEwHrbcIGgax6SGh3JS+R/oCBhVGuLMHXRzAt25L\nO5tncM5SFuMo5ZESaDO2fNsgmvPltm91B7T60zK2a9M4St3FCFI74mmudVztI0ZJB5H0ITGAttvW\n5lcvBnhIKKcb8BBRNlKGHPRhc2WDVCD532eEKYMOM8KtcymDO3fA04xydgYaR4STE9B7PQreDCjb\nUV5wWV+aGTRpfzZn4PwCvD8gv+tJKYLtBnTzVMsxduXBy7ZlYwhRtSWaZvCt29JX3b4NSoPY/TjU\nvLDWQ7Uls8sYpY/cbMAnW9ln/Y/12/Ms21KS9nOylfY0zVoOZyhnZ9I/vtejLX25yLh2W+yN93up\ny80o9WMmOuk4pv031K4Qo46hUfof7QP57Ay837cxIwbJ4zyjnJ9r+5SxhIbUbGFI4JOt9NWp65dm\n6VPt08oUs4xR1W65yBxjM2q7jzLeAVJW0ww+O5fjYpT7dvMPtv4iBnAIYh99Wyna99vv/tNQtG5s\nLLnYg6cJ5fYdEJG0mZunklcbS8Oqv77qmoepzavOzsE5S3srYjfh9FTK9PSG9HExSDqmGfyuJ1HO\nL6Q/f/x54N0GfLIBR6plTHOR8eYwgQ+T9D+kY7O1OyvrGKQMtd5quucMvnUbZS+xPMPJiRxb7WVE\nfv6jKCcD9s8bkUeqaQgzY3hyRtwXxIsZ4c5ebDR0ZaPzFb5zDkwyPxE7GoDdts0dWPrF+mCVi8wT\nazsLYpcptToAtO/MwHRAfvI2wEXKNSVph7uttPHN2MbRFNrL4iJ2Sncu8H2/9OVvxdOAez5gENEj\nAE6Z+bf195+DRJd9h1Ki/jWATwHwGgB/HsATzPzEkUt9B4CvI6KvBzADeCWAL3jIdH8DgLcw85c9\n0Fn1rRoDZTUBIRk8KEbQRh/kQmgTTJsQdI2VpwnY75GfvI1w40QaPJF0OkOUh+esx0+zvv0f5NMm\nD5tRjrcHksCgrdw/jqNOGNukACHI5D3qoA2bRA5AIMTnP946VQCYM2h/AOUIjhExhdYB5lIfjBAC\n2AbpogMNEcLFDGa5j0z0WdJqk0S+AB8OCDdPZWC5sZPOMlJ9kKNzbXz1rYQOGKUN6jSOy8YDaQBc\nipTXnKXjnbsJAREQ5RzSOgEgjdEma0TAJuqDPIG3o5TdmGpngZlrw+ZSgMOEcq6TZB3gKEZgJikD\nACih2gdHamnv34h03gpKSbP6qL4pIZncADIIxSD3YinfMgTpgOrEghH2MzDl+nCGaZKyCKSTVHkA\n5XEAJalvJpI0Bqpv01v56RubJMfYQNc/oFjnRxmgDCxfCa3aFQBmRrmjA7NNSphRLvagQAiBwBhB\nIUh9Hnsr0w1aVm+XHqJs0hQCaLtBfPx5bZIItEEckA56sAd0HUD6uhpmtc/ugUvrhuqbVJ38akdP\nu520w5MNyjahDG1yuUCQ/sAGOSl/bZ85S93kDEJEnclbOm3ioROI2pfYA8qcl20dq/plbhOqnU5Q\nhoSyTeCoDxVJHjw4yaR4nX7SN3DE8sAUcgFmAg5633mWwfNij3KYQEEnJuNQHyYpD83BVD2fUvZs\n5VFYJvM6kafuYbLamP6R9iPMDBR96AMkzzYBrg+LARRxFBT1BUMsrUyt/Ilk8pqSTAaS1sWY9MEi\n6sO2vGSQPkD6SLA+pxW+fE9mLQN7aWAPSGLL8eZNeckzDHUCQsxgG68yS5+qDxjIRfIbA+KjjzTb\nBnR/NyHs25ZO6Dh1bz6tfJP0Q+HkpJUHIP3FoH1F9coVeUl0OADjCLIJXO3L62xGHvbOL2RCv9sB\nWxbbtHFVH9zDOEgaCssECjrpLmXZ9wOS/2mSNJk9di+c6oNrjNrHcedc0IeiTffitrTyCJvVC121\nrTqWxG6stxc6schkEbPU79pzaWMWJbHxzSj9rU02LU/zjHL7DjhnhN1WymuQlzIcAhBp+WCx7kdL\nkWIqBXSQ/o0O0/KBoLcLQPq1GBEHfZjQB0azffHSUlu5uz6/AETdy8SwbMMU5YGW7MHQ5h19Ww8E\njAOCPVjG7iEV3bhk9y0yGS93zuUB0F7QxAjY/KlH/6BNBLpxgrCTB1QbQ3m3AYaEvE2YHt0i7wIO\npwF5JJQE7YsJ83ZAPDDCNGC4PSLMBeF8ri+/aM76IKMvUid5scxEUi82dxjS5XxpH0n2Amldb/aQ\nDoAxyvyzdA8wKbUXVFHnjwHSx0cZ95mBQCQ2+DThfjwYjwJ4LRHtIE67t0IkZC3HnwHgNUT0NwA8\nCeBT7UQi+h4AX8TMb2Lm1xHRtwP4Gd39bcz8vQ+aYCJ6f8jDyc8S0Zt185uY+dMf9FoOh8PhcDgc\nDofjenHPBwxm/g0Af+Qu+38RwB+7Yt/LV79fBeBV93HPlxzZ9rLu5xFOhcPhcDgcDofD4Xh344HX\nYLxHQykGpPy7xWLqjl5RaSelXHUluU5KYADxcaUEjAPKVtYelCFWyhOM5pMLwMp/HQcgRZSdrL+o\nLtYxIqQAmk+EFjTNLY3GvVQXqfHpGABFAs3i4iOjTuwPQsNgBlIEhSBuM6BxL/cHoQWpGw85A+Mg\n6z4KI4wDSlDakVHqhwDmAeHmKeJmI2tKthvwOIC3g7huAYSs3NM758Be+Le02agrVvnnMQDb7YID\nTb1r1VyF09zWbJydybnbDRAiEAk0DI1OYxQTc+sOqXJVeYjqXm6UJspc3bEUAnhIoENYuNiRtUxD\nqNQyRKnjSsky9GtOgEo7omGoNAw+TMJHneZGL9hu5N7MSr1QalMQTi1PQk8Qjq5wW/OtW8IR3m4a\nfSdvhW5lbmZztc5Z+Mu2HkU56Qjq+s5F1rpo/VDR7kHX7oSZwZGQx45zbLSrJPQbypIPGBdaEWwN\nka3LyBmY2lqHSu0pudGbeopJILFJ46KOg1J7hIdMKTbKiN17nuV+EUAcleLScYmBJQ+56xd4npUX\nm9vbDFuj0rnR2ahRkdpi926lr7VXHpLwcfWePE+ynwJoaDQK6ni5dRszkLXNTmoz58Y/PqyonLyg\nh4TdFthupH8yKkJHMyPla2NWWk8wekO3uB/iWiejAJHYAWyNmtIpAs6kDms7ELvjOYOMjmiL3gGh\nb0WxN57ntsaMuvZ/1WJHpQdA+7ZqPwCot6F+TYXZkS2gjkI9tDVCkr5SKZE0DMJfPtnWdSR5o7Sy\nSB2XWSmMh6ILP7nS2RZrMaxMJq1HG4NsHQkRcHIidaXtl5U+VGlVh0na//6w7GcoALYWIFDLr7Ut\n5rbOztZKDENb+xOVXpmirFMbZD/3a7SA1jdztxZjmoUWt9koPcOu1+qRWdYRUErgk5PajtkoUj1F\nCNp8Kg2ro7TouEk7NMqt7q9pVboZ9WWxouvI9gSOsQmXAJVaSDG2tT229gdH3myupgjEWNDfpB/K\n0iedXzTK1nbT8mx/RhVT2nJ49GalwmAcwENq1N5j1NI+HZnbeq3zfVvToWuY6rovoxTZeBkCOG0b\nPUnLjbWvkLnTXWhWvciM0ayIqg0ZfZK227a2w9ZEDXqdjrJTabE2jmk7qHVvVOghtfVVuvaonmvj\nX79mTfuBug4wBJQhASkgn8jatDwETI8kzBvCdErIA4ETwFEMdN4S4sQIE1AGQtwzhkAIh4IQAmgu\nYjM3TqS++zSv1sT1aw1726Kca11iXtFhYxBaWCmVVl/p9J3N05RlHjoTMIiNFu0rhKJ1BYf0GhDu\nfYjD4XA4HA6Hw+Fw3B/8AcPhcDgcDofD4XBcG55TFCmaZvnCXFUpqkxhtu/yR0zNfQp07ntqbt3d\nBqYaVVQCrMo9BoAzg4gR95DrX+xFFUnVXJhIjo9BVFzUDR12CTSLdGo4m0DTDLoQJSZiBg8FYFoo\nAlTKwxTVNVtQ7ogEbdhsxCWu0oBWBsjqup1nKYNJpVnRHWMUCkDyFAg5DSi7BDoZlEYi7s/q8gNU\nkrKAirgtLW88z0rFGI5XUuGmptMru5iLs2Twfg8ujDgkoVmorOeiboK6HKMovlTVj9jJtDGAwE3t\nZRyEgmS0ipyrDG+1EQAYRP2IhgQuK4pUUSUqcwkTAUZFMLezqkZxUZfnMDS1DnWXVpvtXd9GmxoH\nlbkmxEBKLZL7UuFqt9S70c1dn4VeVQ6T0EBWaj0cVY5VqRRxEMWhoHKpPETETVLVIarpM3UdDAkh\nUJNwNtpCNEWfjgphUnxK3eCchTrGReqkoy1SjKBdEfe3St5S5wbnGFpb3YtyR7l9R2x+u6m2IdTE\n0JQ1zM6y2uusdjbNS+lAoLrqOQqlg839XhhhKuBIKNxUVqgwEMQdHTajuMsPN0DTATwNNa8oDEau\nNEqmomnJco+5iHKJKr9R1vLJuaqdkdab2IlQ/URedBQaYW2XSs/JjDivFEoKFgoxlbrZ0aUqDUzV\ncHhIVcpf8nNQyo2oV1VVql5FSqmatNV+yaRnzWZ7eg/Q1O36/UYDULoUmEHJ6lLd/yyKSzWPa1oJ\nNL8lAFlUXsClqdBsRvBGJIjLGIU2senypFSocMgIh4x4R+S+TWYUQKOdxEbZ7JXKzL44Z+l3jFJX\nFdMgtqn0vSqrfn5e2/2CIqf0L6GyhUr5MVvhaRYZWyi11hRsuv6JoUpegZRC1vVBHc2ONB+020lx\nqLohUkQZU7Mlk0wdhzqmcGdjkl+lDhOacpnaKeUs9A61nUt0J82fjCuEnttX1fF0zIX2G3YdWtHX\n6rhYSrXLhV1oumu+Aot8uNnDpJSW/WFBS4XK37PSNmlI4BArHbaODUbpBYBHbsCUm4yW11OSpD/g\npQx8p0RV5zlGLd7vwZPKNpua02h1ZlSpzmaNtm0UZaOSqurbIsbNMSWrvvxjrlKxNAxCTTLKl923\n1gPqfS9RJFn6VEYA9BrYbRBOT1rf3FPujPaqZcIHkdOmcRRKoal4DhFFx7V5G6vc+LwValQeCGUQ\nehT3s+ZA4MDIB527HQJqfKhBxmHWMeKSmtiyoBbUbVHstH5P5qM21lR7WatPdfW+nOOWOhfhzQge\nEsImtnb0NLoZ3IPhcDgcDofD4XA4rg3+gOFwOBwOh8PhcDiuDc8dipS5+cxN1dFKwF2wMg36Vl3O\nphxjQUuSUkViRNmKEoO4zaEUHHWVzRIJN1hAqlIkcM75OWi3A93YwaITl1ECq5Vk5waEqSAEQriQ\nCMz85G2Jdj0kED0G0AbEaK7mAKF+mJoPswSzMZe20nwIU3UdclWnCqAUNFK1BMERhZxUo/32aSyj\num3X4gMMhMygWfLPYwAdCmKMoGlGUCUoc0NX5ZfpIG5oCNWDNWBOdSOqOxAaiCsazasPDKdqFOZq\nrxSPYG5TpXl09CMukuYyRAk4Y4oWMYh7XN3LlDMYqvyjFAQiqqoiXKKoJpkizcVeynpIlXa1SGtS\nGhKEWgANZNRHVoYG7qppNfcvAN6N9RxiFmrbnTOrgqau09NCYgAgQcNoHBDNXawKNpWiUV3S501t\nBwBCRDjZCj3rRCIXi9te0lTGCEoBNCZxDc9CM4LStnpVpEpF6KLaVls0epRGfDU6QaVzmfrXOo/d\nH6UI5iTRgFUNqLrkdwOKqQANvVqRKK/QLDSAcDCaBLd89LQDC1JZipaDlF3Q9mwsDYm4SyhbCfoY\n5gzsIxCt7LX/KQGg0mhhhUX9SpVTuCwpLHSyBZJQ2CplwWBUGxJ1tarkov0eXUyqnNNF8Z06xRy7\nxqCKWZuh0lhMIa5S90ZVjRsSwmZs5xstyPZru2MGiNWON9AyTcuAUkqNZKWw2VtcqAAAIABJREFU\n4jA1NTdTPjMlOmtb1k/0ijOltKBq66B3FmgRSj+zft4UlkZVjxol4BYPASUSirZLUqWgMDPiPoP2\nE+j2majyXVxIVG0KCDdUFSopXS12Sn6AtMftBvHmaaPx1X7C7LNrOxoMlC36vNHItJ0YfYyUkljb\nSozSHqiNc+jutaBsGKXDKIK1zEKNulwVrgIaFdX6W7V5Kfd2PSpJ2lPXL5UkFN+eXmv3DplBnEVB\nTdWYqjJdr1BkabN9hVvkaC5CEQ6drXRR2RcB7jpqCWVVADIVRj1XqDUaeZoZPJeqNrnoK/aTUnpL\nm0fcvNmUrUyNztT1jFYWCWWIl8pE+gFpLy2S9V7mNErjJaMLGt3K8gSIPey2oA1XOmptF9TG4zo3\ngtKbrM/YHzQa+QS+uFgEpZQgsTrXMDqwqVIl6X9J1bHWcygeGqWvUu5Qmt3MjfJj9W79SRk0wn1H\nz1pSObWcprlRg9/5LiBnhMefBwqbRj9LS5o6CmQeM8l9ywRVX6LWxc0QKvsMUJY5TzwUmbsdsgQ4\nnGaxhW7OY/kgi8QOgFiDfsLGcKvvLLS7/QScnddo4DUAax9w0aiIOobh/KJGUge0j3vkJmgcULAF\nYqn9+dMF92A4HA6Hw+FwOByOa4M/YDgcDofD4XA4HI5rw3OHIgVIcCJgqfTTBWVaKJloACIJHJRq\nYDweYg2ml7cRZQjIW1LXsKlYMILShGgjLli6sUG8sa3u1rwbUIaI+UYSt1tCpUjxhKp2FLYDAiCu\ndlNKUve0UT0QSVzkzGDaIGwGYN4g7DaXg/UpzaO616e55XtU96bSo3gcULYJPAbMu4gyiprCvAso\nESgjKmVAEq55zuI+HM4jwsQYbg4SfOaQEc8mcflp8B/ChHJRagCgGiDJ3J7q9i+bcPxxuKdRAUtV\nBWYJgsVF1EkCNarJCkwApdAoRtuNlpsp92TwnJb3NPdi75rvXNKVitDTETajqA0NTTGKVWXLlJkW\n0Zy40VEsaBdrYBwCRD3L1FV6RZleUQMAIBSeGpBulgBnmGdgni8FlWSjpeQsNKVx0OB7XAObIUdg\ng0qL4EBAAmgISjlSepQqwdTgU0bNAUCUwZxAVDoFlAyUWOkdlIQiBaMwmkqIKcpU9RVN/G5T64m1\njMsmdYHSNL09xY+FoRQOBcHSlglABu3Fzc5nFzU4ohRpBJ3sRBFmSCCWgGzgLpgjIO78MSEQgYsE\nmKJp1KCIGhAQEEpLSlJHSsNAbOoxTAHSySjdYDOCpk1TClm54C2Ni2BTncoIDlMLsnkhgTB5v690\nIdpqUEyjmGyGqnRUldmGWAM1GQmptsHQpUPV6Ho7u0Sdq8dZ0EPpo0x9h3MW+qoG2WNWZTKjsJit\nmzJTT0swilQgUdWC9neWvpuaHwuAOkRkDYKaN6EGvbS2SWovlSqmdBdSClIcxkZ3s8CBfT7VbovR\ni4zmEEILzleEJoG5AFlvre0QAMjKx2hudu1SGkUmSH1RCJUatKBFrSlCRSmAcwafn1eFQdLAfLyR\nIIDlZEQZoratKGOYjgWV7lLHA6WT7TNAXFWiFn13T11lyWsNWKiBBXl/QDk7E7pkSsBms1TwI63b\nQc9N0l9bQNEFNcz6D1Oh68eEGlxv01FG0Y7rqUtAo/HkAjpMTTnK5hbH6IqDBhkcUqXoFA2ix4NR\ne5uqVi3D0gVdVHpUeee7UPZ7UIwIJyfSvwxDaxPW5sgIONAgggzErEpztGyLHWWx9hs5K52zjddE\nBC4RRErdTAxQqMFtF9TKGqCScEkRiwFMMl7QPmu/mEEXh45qpvVlFO5do+mWIVy2vUnprjaviBEx\n6vi33WiQVlI6VEHQPiLeAUwVM+0S8hgQpoAyEEoCso4zQWlRYQLG2xlhXxDvTAj7WWiod87B04Ri\nAQ5zo/hZP4YhST846PiQ2phNpkq2n4DDhHLrNsr5BeIjp2r7EcwRFFnGBaALGGnjQJD+G1i0dSpC\nj6JSFrZ83XAPhsPhcDgcDofD4bg2+AOGw+FwOBwOh8PhuDY8dyhSzC2wlbnOVW3CAh0tVCeGAWSu\nbQt+FKMqH0SUUVznZSTMm4CShCpSEpSS0NzoF8+LQr/Iu5acIJSXksytjOZ+z6rGlCPm04gwbRFe\ncENdy3Icd4omPaWGzCVdgLgfRI3jQpSQaC7icjRaBjOKBt8hVbYgVTIRmlQEjxJcat6JizCPhOkG\nJAjNTvOhrBChxZDmFTicE8LEGG8TwgTEA2O4lRCngng7iftvygi7rbpBublVNWgTb5O4i4eoZUTL\nAE5KswhTqUHEqlKJ0UHMrW1B7EKjnfRuWiYCRQJD1S8AUB7AlOX8noJSqUimbKS0i0AgOmmqUTF2\nAaiCUM5Macjc4OtAZhCXLRk9yj5VLawqNg36eXoCevRmTRsr/aJX1Kp5tMBMubTgSaqyIbS50r4D\nqnwTqxJODRa2RlcvRdVvKIemfjIJvYqmAJo1KCAAFA1GFAtQVC2qC7AHoNIKKsXAaB6qOHY0mKJR\nzrSMi34vw6q9GdWlCLWPCoFZA/flVTosKJ7R4FhpAyGAQhFFKKIF1a5RxwKKUb6mCEzS1jDNQqfQ\nPAs9SukTqfU3UvfUYlDGKPWYYlXEo8N0mSql6VtQUta0pKDKeYPQTpZ5FjolWVCyXKRsTM0lNbpD\nDRLVBy/jjurSB81UdagabLGqA/V9rtb7jSjt3LCiqLAGkqp9SNfHs9m2qezECNptQZQaTcWCSKYg\nVDqlpbU2ikZd1PywJqHSPVhohExCRyK7fxfkqrbFStMh7RtI2kw8UnZV2UzsMajNEADMSepmv1fK\nb1P2sXKi2FGjVBWsKtD0FLbMVeGo2kgujX5lCkXjIMpau6EqC+atjEV9gNAwq3KU0nrCVBDPDtI/\nXxzUhgNoM0rfbgEMTbkIMsahaGC8QYKLBm2D6MvJ8mBKYKzB/3qFOaCjHWofYrSdnqJFVNu30foA\n64dX9BOjyFn7y6LGxvMMPjsTmuk8SdsaR6GrAGJvFni20uMa3dnK0spzIZSXAwqWdMswDAimuLYu\nkysgtDE02lhowQfX1+CoCmU97bcwyALF9spk4yD0aqWRS5uK2veGNoZrGYZJFcuUokSz9GN0mKQs\nb92uFEnabKTt1iCA0t5k3mUqZmjzoSL9RtCAwEIzK208LR1dLzPiHaVtn++VZhiRHrmBshmQHtsg\nb2KdA4HauBEmRjrLQq/dz6IeZXOsrk6INHizldeQpE2t+kxilvoHAWOq9NQwDkL30jxbe+Zu7CVE\nADoujqtgxoGEkmnKb8+Ae8E9GA6Hw+FwOBwOh+Pa4A8YDofD4XA4HA6H49rwHKJIAZgOdZU992ol\nQFOmCOYGDNXl1+gupAGFxI0pqgLiMisJ4ATkkSpliKvXS6kRvEpSR2/i3uPLskHUI0yRR2kcSulA\n/9ntD7PRq4C4DxL8ZQygSYLOBAuCNkhwq3h6Q2/aqVOdbETJYoiYTSlr1HyOQN4S8gjkHVAGBkeg\nJO4oJ0KTihcEmgh5JxSpcGAMJwPiBKSbgwYjLIhTC6xT06KKSkJp6WgKMPemqkToJyYJikbnB6H8\nTLMEmOEitAutz2CBknqVi5WiRU1DFOUJoV4AyBnlMAkNahyVMqQBvzZjDdxUXZfmIh5jDT6Vh9Dc\n33Q5T1A6SZyK0BZ6aoi5g8fQ2c2mnX8P+6/qI0X/lE5GU25qY0af6ukWHW2t5kupZu36DBTNSzDq\nDYBCYDCQQguwBwCZgFSEApGT0rayKAMxLSkzRitRasMyCJy49vMmKr3A6GdC46vqbqrIUulRtZ0J\nncOMt1KaerWuzSiubbUFWthp7IJKCc3FKDxsqjME6WkLUEqsb3XoQikIFxfgi70U2aM3RfHHFGBU\nJaUGi9SyJpKyBXMNmoesilD7Q6MFWXkp/dHSfQmBgIxGDylFA5yJsgvHRu8gjpUKxEggFpqHKMrw\n8etbuSlVikxpR4Ns8mECAgk9VetZVIDC5esZhaamlZfUKPve2VuvJESbjfQBOw0YGSPKToLp5SFU\nqoXQV9AoF9rPVttZw8aUnMH7PXh/ECUmDdAWbpwAENoCK13ClAClj8BldZ3MCJEqRUryovVOGvBT\nqY2VAhwjCEPXbsKi/VTKnVEriIDE0lUyy/4C0KOn0ipIVe9SQN4mGQ+UMluijAu1nLhrVzaGWV9z\ntgedXSD/ztvAOSPcOEF43mPgcQCrAptRHEFA2WjQzsygzVApsLVemWug2aO4pKimanMW+NFUe4xa\n2StDGYUmQKmlaO0MaPSovi8IQuciItDNU6GXGUzJy+iehcGk1EEqUvYlqAqSlF81sYBKBUIQWyg5\nIoyxqS6VUtX6KmVrpdJGFqDW+oxORUz6mNioxP24pOVMWcqMcgabQpamr9L+tkJ5yyejjH2DUMkR\nGh1cG4C2pYIwy0VqYEkLeDskUS8zWpCOQ8UCHW/EFkXJTIMAJ7PFFe1YqbqmckmzBHKM50IdDzzX\nMbDOG1ICtiMCEcJe1J7KFEBz6OY6Sr2aWiDWZkQk41cpQsE/HEBpENU9VWVDSmBVxZLAzZ06aE8H\nV5urilu9fR+jfF1KBzUVSurqAVjOMa4Z7sFwOBwOh8PhcDgc14bnjgcD3Bas9dBFNwi6iI2CLCqr\nb3tSi1eQQtP8t8W5tggwAiUBZdDvQ3tTysce4/p9+ma1RPEC1OP7N2f6VoMK6kJqmm2hERAOQMiE\nuGfQTAgZSAOBMusn1FuQ9E3HVuIUdA+vNU+qw110oaN4aMRLY3+SR1bPDaOM3B5X9W18SQSaCTwQ\naALCTMgbWfidTuLC61KfvO0Swd7wr4pNFz6GDHm5maWcaA4Ipchboj4+wtzpd9tqOX2Dw0WOI15q\noRNz04we1EMxJyBERLtOiM1zEfXNjb5xLqMsJmRdJFpM15xQPRedWapHAYj7rG9CWBZEzhqvAhDN\n/M0gb1lPBvWgBZSNejUi2luK9fX1HuDm3WqLmlk9QQya7S2IvllbtyC7blhWinlE5Bh7bdTuD6DZ\nWr9oEmhv2XRhubzVnlAOk+yPUUQABpb2WW/aLS6uiyP1zXNAF5sDl+yotiV7s1WW5YF11u2NkHkJ\n+jejtuhd34bWPqJbYC5a9tIWA4ASSBdMb0FDQoih6c7rwuO6SDKKPdV8WtkRiXdhljzX2CCZWuyI\nXOStqi7SZ9Pgp65DMnueJM4E19gKGv8kRmAsEuvDYk7YG1BbPB6DeDOKejFiqWVSy8+6XYv1kKJ4\nhkxcwmIZ2FtU81yZN2ddHyoSwIs3dfpmMaDaaLC+IFncmQC2WDS6sNtEF2ShaHvDV+OkWHWbnRTo\nIlfWBd/qSUgBhEG8OQBouwVOb7Q8jIPU7SZV0Yc6rqSlveod9Y2+ejLsDfIQEUIAz+pp3I4Su2Xu\nFvmaF808bPaGOjatfSa0N/iB6pty86xKWaDZcwTyYGIJqOktXTwZ87Czlh+xlGtQz1CYboAef0TK\nEOg8OKm149TFArHrZm59pdpTXbCb29t6ExOoogL9W/ysIgwAGAEILO0lMAgBZBXNy2vJvTrPSU0U\nLb+rCMxaRKGKRfTndn0KWRicqB6qbJ7g9ha+zhF0QTqxjq8FwkpQL16YS80/9/nom0//ZrxfJNy3\nWU2jiYKQeTFKAc8ZmA7IT94Wb/5mI7aughQ8JhRlPpREKKMuXO/XjyuxgJiQA8m4xDKmygL22LxE\naJ498eDHZXyaKPOKEqmK7dg40LclGf8AMBAnZQrsgno1RsRHNjoOPq7lhMv9ufUvNq7aOILmlRRz\nIO0jJIZM88hTWwyvQh5lZ3HVUhMkMVGSXgQI/TyQxfOufVI86BiuY3n1Zmg+qufC8rCwXfdgOBwO\nh8PhcDgcjvcA+AOGw+FwOBwOh8PhuDY8hyhSAB8ObQEgoBQAcR0T1LWJohwLrm5wJnXxq1uv6pMb\nvSJTDbXAAbpgC0u6Ci89UbZPXHp63EhCk9J1rrLojy9TXrLSomb9ngkhyW8mQpgZPNkxhFzUDUhB\nXHrEIC7iJjbqCgtFxhZqcgwg1ZYGgDxypYPZ4nJxYWqx2cK0wCBQpXpR0G2d21JcmEo1MEoYd+75\negxqvBCguQdDlkVyJckCwDCLKzHMCXGTVDe+gPanQiGYW1yAtnAuNBqBacKru7h3GNJu7BZTddQY\nouquXsTp6Kk61dXf8raox26xepgZ8WIG7TPCfgI9eQd8fo789ncgnJyATnayIHI3ouwabS+PEoNl\n3qgL2igLa2pZoWY7lWqnrtZs5cq1bpuOPaqbPViMFaUkUGbAaBqdNnxbxbyiyQBCz+voA2xa/Uh1\nIS7KVqhodhnTWK90xdV7EaV3hVKURiSfVBrdI8TLbuAqkmAL3y2Pc0E4ZMmb6fZPM/j2HVm8ezgI\nrWe7AfGpuLsDtTylpmVfhtBsHACVWOue8raW7bpvqJQA60MItY0RQ9KYtSwKI8wDSG0fN3YIc1vs\n2YtZ9BB6kWjaYyQQJ1AZdad1dmhxJ4yy0lHFiFmohkSSt6CN1iiHFl/AdN0RagwP3m6a7Rj1rKfO\ntYR29tPoJtwv6AYa3TV1Ag6DxYCIlSJkogv9wuqF6IL1Nxm1rqzsQ1YqSu6odEqDpDh2Cy1bzKOa\njWCLabXfIKVD9Pe3+AjVXoAa94ghC75LRNjEJtgwb+Ses1JsVnVdKTBGizLBgGMUkE4coaeb2OLZ\nouvuS2rXvUQBZh0TCyPMsdF4p6HGSKqLVS2pPTNnTeHo7EH6r7ZQd0EPmVniEMwAVOiA5gxM85Ki\nkhJIY2KQLYJXe619k9IGqbDGNMjLeCpmZ4FaXIu+v+v7PbPvaWo2Cywotkgi/sBZ06I0KaNYGmV4\nAe1zavwRApiNXmgULDSqX0eDskXtvahAH8ek0tCMeqXiMFwKaLcBckF8wfNhC8VzT99NhLyN4ASl\nLS1FAAAT1hAbInDtwykX0GGWfsz6GaUqIwkFuea1i3Ek/W2zUxl/0cpuhSqko3MYyWta0mc7u1uI\nF1Rqt9DRm23KXI2KChOM6VK/a5RE64N6qlfeBpSIBQVxMZZb35+NFqWiPhPX8TpMKoQwl0brs5gv\nGi/K7nuvWCnXAfdgOBwOh8PhcDgcjmuDP2A4HA6Hw+FwOByOa8NziiJFZEoG3Up/1fJnVg1pCmCI\nrjgpFYOKqpBAPHxhEvpAOIibPJFQMkoE4v4IpWdWlaBJjq+KO8FiaYhrbzoResW865SaRqNKdRnh\nRn8SihQkzoS5y/R7PMjvdF4kjP1UEM8noRBZvIj9QZRjLKw9BdDJTmgf2xHh0Z2qGyRQCSCWWBiA\nUkEs/gGLGkfV8S4a+2IipHNRuYp7YLzFiHvGeCsj7gvCXES9CBAlF1WemHehxhjhCHUdyn2zqk+U\naO5KKccwM/IYhHKUGWGfG93F1EC4uWbNZWyqKiWF6no1CsNCzWqlwLCgwC1c/L1Cw72MUukPALBN\noBRQdgnhxkbUQF7yQolNEgl5J7rf80lAHiTP81btZ1R36hUUqaYm1exH1HCoUqOqOllRO8qd+9XU\nRPLKDXuxbzSEPnaGKfdUhZojLlltfzx2+uxmXH3Se/qBUXWIpD6nLEpgGn+BCaLKRN154Yo6MTd4\np3JkyjQAlNYTUU634v4+3QkVA6h68XkU131JAWUTL9EDLEZA77pHZzfHVNJq2qqbvnONKy1TqCeM\nMCldJDPiYZRtB1HPoVxUVURi4FSqhtKSFuo29r2sPo9Qq8As/UUQJR4qReoREGUeIiAqI4KWakVX\n5llpSE1trCkB0Vyatj9PQDZFwFzVrwCI0lVKQqkz3fwhiR7/JlV6UlXJSx0NTcu80qGApnFfrNxZ\nKX6oamtSVl0ZaawSpkblqPdY9ylGr1R74Do+dUUd9CKatjKYrQcp4yL0U2JIfAxTQeviNbTPorFQ\nhB5LBIlLAmWZ0apyespq7GgnnT33/U2v2iOXoSXlhKn1Pba99PuXdbA8ThWTZm7fJ6WqEUk/Twya\npE7J7HvO4Dt3wIdJKNIxIpyctPhFw1DpdDXnphg3d6pq5xeqcrcXemRKoN1OrjMOql7Y5hNNJYqF\nGtUp5LHNLcZR7jkM8mkUtykDKQjluZiqGasaXSsjs8cwd23FYmJ0tOBKixqSUnqDxuPoKHIrSq/U\n4Yqm1qs8drYhVG+x49rPqWpUHSOPjT/MNR8hM8Ihg/YTwrvuyLzk4gL5ne9C2G4RHnsU2G5krOAt\nSk6IgVA4AKxzJRBCYBSrSaXr9vGP2Gy1qqX1GUQ3Jiztriov9oqdBxsbxa7DVCRumTU6o9p3tLQy\nRJnjbaP+NgUsIG+otrWeVmb1TkrTj5NRs6AUVU3rzAhnB2B/AF0cUH73neB5RthtQcMoqn0nW4m5\nMZot0GXK8TXCPRgOh8PhcDgcDofj2uAPGA6Hw+FwOBwOh+Pa8ByiSBFot+vcoOZC7tx+WXxQpPJH\nzKoyEdT1HI1OoYoVhyIKTjMtlQoYGhhJjktnk6gD3ToD7dVVmzNoGMDv9QjKZkDZJRweG5E3AdMN\nUgqMus00iF9PrejVpCgD8SBUiXShgesyYzgrsu18FqqEqeIoXYIDiXt3EDOwoEzFgnwNEfONAXkT\nMG8s4F7nViyQoH5sCaLqCkUB4p4QZiDdkfTFPbB5MiOeF2zedo5wew+6c4781reBYsTw+x4Hn2xR\ntiPmxzbIm4jpxpIqZepaWqUokRDAKFHdlEFUNdiCYuUC2k+iCNIFo6JBKBNIERxGcaV2wRTLGKqi\nSlWs6Fyt1aoWFICle7+nuVTqgFLd2ALfdNfuXaJGo6jUMFNuqQoTHWVhRU9Y2GGfvtK21/2hY8F0\nTA/z7lY1sC6GVwtElYVmd5jAd85qcDejHpAqpFAIC2Ufy38tw7ViUP8J1KBc8oPqJ+l1qKdPAY1C\nVSk5dFTZqqqmWJoqDU5UPuq2OF6iy4mdqOKO0gHyoMHIxubqrhSpAZVOYvV5LAgg0Oqq1p0pf80d\nVWSCUqRaPxCVLmVBpIQ6WRbqWKY0AmahYpiq1zTLttnohAGYZ1G9mWfp/1RFR4pRqWrDKPUdo9RH\nUrc9mkpNH7yzDz64DuoFqLqM0khJqR/hMFfFMgCgOYNyBs8AotpiVQdK0qYH+4yLAIhGU6rlbEED\nAVUNbPQTC1pFU24UlKmpc9UgkWpXCyqfKRMZNYxa31JVnBYBW1G3Vbvr7UFVl2hWWomlrUsfTbkq\n75DWZ6W+WbsANCBcr7JFYA10V9W1VKFO+kTI9yD2XCJAAyttioChs2Ws+jHLR0c/WdNQgMt0qMuK\nd2IXYe5onFGoKiVKEMIwsagJZkbYdWqCj90UmqCVyTIZtf7MDqlAKZ6QvosZNAy4RBe0wJWx1XHr\nW4xezRKsFcvuuZZ/krKWuhAlwqpIaOdbN8UdRY+1Hc8F4TBXlSs63wsd6/adSu+i3Q40DginN8BD\nAg0JJYzAEGv/LmpGGrRO+zEJotj6slqvSjltdCPUucmx+m7KhI1mJPUk6k9hZuQ5KL15RLypQYCV\nlssAMjU6jwWmNFqW0OFIygeqohmAknV/4pZutdman9hRqLp5RZ3SaF8cVK3Tgm0Wkj5YmOFSF3Eq\niLcPUh+HCXS+F9r5OEg7GwfgdIOCJPfQoMXzRuZVeUuLoM2VUoslRapMEkiZI5Anyy8hHoRiHg5b\n6fcfu4mQc1XiknyLkh469bCnE+7BcDgcDofD4XA4HNcGf8BwOBwOh8PhcDgc14bnDkWKIK5MQFyd\nkwZqUlWHqkQSI2i3BQaqAXDM3Q51tZurubp4MxZUKwuEZe40cSMHlJsnoFNWepIEPimbpO6+UN3j\nYQYAVcvI3JQ6LB+myGCBoHp6xMGoWUDYi5pSpUdpMCsmqrQoue8yLfMuSfCagTDvxGU675QOkoB5\nq+65DVeqx0JBRNOXicVNGYA5C11qOkmIE+PsBYO4smcgzC+q7tSFKoXRTkxFq3fBsnynIuoRlLm6\nbsXzp1SOLPQPo6bx2blsP9mJ23scQENcqItV+lHs6RwdrcdoItWNL2o+RmsRCkqjS/WqMRbEKg+o\nymNGgzM1iaoeRo1aw8EoCXzcDd1RoUxhIkzNPoxK07upK8VupexhwYSsjKG0LCCoDVALbHW6VfWS\nx5Ra0oKwteB7K2qBBpdbBKFS5RYupQVPWwdSK9xoHoDwu+x3pU5170ysPfX0KaM19AGyNNgWK02B\nVO0DSqkpKWh7COrCpgUdqtWZfC9joxSIChw3WlviRjWwIJpHqG0oAJiW1KiOEhkmUnomOiU5UjUp\nOTZkRpiCfpriCURRLhfQIbagiVHbEIQKACrAjFburH2k1WlKrfytn0xxSUsKqpoSjXK4Upg5Fjys\nazdhZqUnDC0Y4rRt9CmlioAl3esgYmsa0qL/MNqrtWOjG81cFbhqsMXDJNSxnKvqHp9fgLOoDPE8\nAyEibDcAkdBqx0EUi1KCBfXkQdStMKSWTqUsiIIPVZu9RJGydrMOcJlZqD9F0olchNqmgeaMtmh5\nphhBmjaEiDAObYwLQdrBmMAhIG2ESsWBajCwMoY6Nojdc+ujK62j0VmbItGymtdqaf3vXlFKjuW6\nfU3TKQzQQF3QW1VXywMsUGhVAlObsSC5NZCcKTKprfd2VdXljqmpAU1paUXB7O2sBm+sgTOpKdtR\n/3n0FkuFLQCcJZgtRwIhgFlpL0UDkjKDHjmVNJtSZgwoY6p0QVGG1OBug1CVZPwh5E3rv/Ioaa39\nF3V0qarQxEtFxVo41rY6ypt+l3FIxqqQIe3c+qe5a5N1jOLFGFf7CbuPjmnx0FHgqq20MVzmFbwI\nHLkY71dzmVoHVXWx36h1qhSzUoAwSH0QIMqkhcFD0r+IskvIQ0Deho4GL3OrvG3paZRaXqaFhRYI\nUxFV9UdRtooIh6R9v6isNeW1rhyr3beye7rgHgyHw+FwOBwOh8NxbfAS1KMWAAAgAElEQVQHDIfD\n4XA4HA6Hw3FteO5QpABQSkKLKgyMokKDcVAVmlDVUDAOovIQoygqWaCmIK7sMkrgM06m8GQqQC1Q\nEgflNBmrxtykQKPcUOeOo+aCrG7TPu198CGlr5ibsVIgMhAviirGMOL5jDBlhDv7qqTEt25J0CEA\ntNkgPHIK3ozg7QBsEkoMyFuhgOSRMN0glJEwn4j7rgxA3nKjSEUWqoe58sJllx7ULYpC6pYmoAvq\nRjlcco0vAzDRksazUNXRMjioesjBFB8Y8ZDEVXg4Vbe4uMkXCOIWroGvIqpCxjGlG6NFidtRA53N\njHgx1wB0dNYFnwMk2NeQwJuEfLpRhaKEPOq9SChweURVlhA3daPWwChSK+pEpcnNLSBQOEiZpAsp\nozCLgpcEX2zBw8x1eknpqqe7mSpKEBc6MSNvQ6uPrlyrW3vmSoOywGk0Cb2GZg30Vviy0g2z0FBU\n1cgoOTzNlyk62r6oUqS6dyW8qmOl8hAJnacqw5kCkgXbShGUEzhGBGbpAzhIILMMYOjabRSFlZIs\nKCbV+stGkYpcA2WWQdoJJ6EVCpfOKnGZ3NZWJGgbzaTKdVSVTDgKfYAPrR2J2hcBJPtKIcQg8ehi\nIJSkNIIAlBIQYmnB5AalS21Tpa/RvJP0aNC2RTKDUnoioRjFUmllxRSjTOklSB9i/ZsEuENrdx29\nogYT68rikkKb9Q/9frWfBfXGqn9FtzFFNFMmqvZLhIAilFcKYmpRKCLIScphSFJmN06UOtbZLLBU\n2erKTvqwSQo/l6p+RjUYZZD7WLkCx1//GY2xdDYehIskQcgYVAbQdrOk/vSUxVowlkZti0YlnLOk\n/5CqwlG8UKpbkrrOQ2gKWDYOdvV5iZLW33ZNh7L0rdLVU0HbuNr3SbotArywTjOm7n4r+1l/tnI6\nQsHprnVXrPrMS8E0r6BAre9hZbJIUx0PO2rLsbKraVlReys9SPujbu5iAVqrelTCImjrkv7Gja7c\nq+BpP3YVtW8xhkPHrdLoPjVwsFF7dZ4QD7wY340GJeOcjTGMuFeFvD6orrURotZXjUL7y5tQlbOk\nLAh55EpfNup3tWmbm0VgjkJdnXdU64RyUMWpcdl/AbXMpRyP02iLjvWiZsmiGhr4ahotWhktxv/Z\nAh0DYQo1CHOdtxhVemo06Tjdwy6fAtyD4XA4HA6Hw+FwOK4N/oDhcDgcDofD4XA4rg3PHYpUCOD3\negRN5UGVHGKsrumiClFV8URVf5pqBlVlBVvpX4NtqapC71oEcMSV2LZXrF3Gi6BD5sLvXF8aSA8k\nLq4anCkAQEDRIFtlIIQ5IdwYWoCe8rgcq8FW8iYK1WMkzLuAkiC0KFU4mE4AHoB5x0LzGBi8LUAq\niJuMGAtiLNgMM1IsGNOMSIxAjBgKAjFC518umvG5BDATChOyfs45IhcCM2EuAaUQ5jmCC6GUIMJC\nhcBTEApJJnERFoAmqm5Wcx2GOcj33CgVpljRB3Za0C46ZYWqElVduKgu2gJqal/VbW2+bQumNcj3\nzSjKOpuIvEsSuHArFLQyqHrHoK7SpPSbgZvqkDAgWvClPt1qF0GDGtIMoUNNQDpjxIMojA23C8JU\nMNyeEQ5ZqFznB3Enm9rIOFSVEaMEljEKBSKs6GNq32UImn+lLPVBsTLX4GUhi+JN0OBpErQsad3N\nNR3ynTW4m1KpSl4GeitFaClAU8jhAu6V3AJdokYhdDRIovbdAgAaRWT92qWnUWRRKaMCEKnSW5FK\nEeofuqCE1Gg4JMcVicykNsLSEaz7Am6ub3TqUc22TTEKKxUp1G0tOFRTDSGjWCzomXZ/obxQCQs6\nUU3WWgnHgrJFqmpNPe3C1IRqcMjU+kELGmoKbdZ3tj7sKmpNo76sg7QtaCS94oxuM1U0o5Tatqao\npuWcQ6WNiaoNN6UtDWbHRVT5asC9WSlSc670Ja7UqEZnohCAIrZGGpSPte2RKk0hCNmnBoc8Fgyr\nqrNZfZrNBohKoBKGima+qrVp+zFKV6/QZopgRiPU4JhkAQMHCZQZVPUqpqB0LtRgggtKqbWh0tJr\nyjVGm0TRvqDPE8zGSFQbV4Eas47NCC34X0/96ZWAar9ZbatTdKr3OlK8fT/7IODj3xdqR73Navks\nttUxX/sTtG01TVcoWi1oUd1nbWedsldRmpPRFWsQOjuup591lNkasHU9j9FyFdtdJaub3yx3dJ+r\nNBvryhT1ggUOnRlxrwGMzyVocJgLwtkBtJ9BZxeiojZN4PMLGVPGATSMEmzwZAsMCfFkRBkjwi6h\nDKKMRsUCCVMd31DH447SpHO8XtWRbVulpXFT2lKaEwfWuSYLpTywFFsqKvZVQIFBxIixbeuLqkdh\nmStJFyPzpZzlczFPUsVBFELc6zzpoH3e7BQph8PhcDgcDofD8R4Cf8BwOBwOh8PhcDgc14bnDkUq\nEi7e79EadGWhABV0Zb8FX+ndYaqsUIbOrVipUdyCoSxcZazusrsoAFS3KDVaRFZFAAtIU4OjKD3C\n3KczALQANYtgNuXyPRbux+pKRlOHiKpiMIo7r2yKqN1EBm0yQmKMmwkpZaRQcLo5YIgZN4c9xjgj\nUcHN4QIDFeziAQNlDCFjoIwAxhDmmqQIRtYCKRyQOaCAkDlgXxIyAgoT9iVh5oh9Tpg44FAS5hIw\nl4hDicglYJ9TpVgd5oRcjFpl9KoALs1liEJgdRXCytpoLUXchaZ2cYyWYgo+YUariy4Q0ELZA12Z\nd257sy2jQolSFC/siQMDUe3nCF3H1LhQSGhBWeg2zJKnvo5LkvSVgUCsyj4lIJQiNA0L1AUAcxYl\npRQl6FoSZQzOhBIlIJPRNnr1sxKWBk6ajmKKPQxQCS3YlVEAJqWezIPSjxiUswYSMxqHBojUAH4L\nCkphkFE8rlBSMXUpo3osqFCm4JOUJkUEHmI9ju2cvuyNgpOBAAJPWr5RDuBAVdGJI1AO/z977x5t\nzZbVhf3mWlV7n+/R9yIiiEDTGIxGsCURFY0iJgwkrY4oEpURI5EQyfARHGgMw+CrwehQBCWAYAi0\n8RGCtMNhlPAQabvBoaRVXoaWCF5ahER80ffe7ztnV60188ecc61ZtWvvc75zz9d9u7/5G+OcXbXW\nqlWrVs216jF/9ZudUiY0M+5Uhq3XO20u6OO6K644u5zslxdppijn1eWEPmV9zS3opvS/UtNmpcpZ\n0MPWf9JPbH2jtJVKWd3/PZBd2XsKaZ83vWrNYu5pSm2dhmHUjLUCzxHNwtGklopzOk7d+Oxzqime\nKa3QqdDJ2GZVslGFrqkqVUqobpSqnDKbm1Udx/qNp0noR/MMvrySAK7TQShQwyhUDQvCp6qFNAj1\nqAV9VPukpPOUnYcjO3HUIlOzqhXkllE7nbBRo0pdUg39uU5J6ISjBmNlFsO2ZTdmyI8NozT5oWe0\nLGdTNKvCz2GS8VtKCwhYHz+WMsMAuncPaRhECUuDAvLFDjwkDPtRgsNmQt7nHgBTqXilza8659op\nUsqetz9vd43SDCzmtmaDW9dwP2bR7Q/oNinLtFT8a/aIRmH0qpDNvqvVw47ix87el3NeC9inx+oV\n7xYUKerqSNWpFNn9zUIBzH4bRbcrZS6CKFq5ZgDX95f1Ux+3y2uqv3+pA4HauZMxWi5SU4Wjsu/X\nYRdAs7XP7vuM2jnavR41tShT/7N7PjZlx4R2b9Sv3ab65FQ0E0BjFepTEpoTiDEMFUmpT0OqSKli\nzFWoUJrW8tDLATiimANLmrnRpA41g5lwVeTeqFTCVDJKSZimLBTzQpgPWWi+hwRooNZ0OHeyXhnC\ngxEIBAKBQCAQCATuDPGAEQgEAoFAIBAIBO4MzwxFqmbCu147durCFvVpJ/SUujOXIittRdSTWnCs\nQb72T4OkpVSVTcBISd1zKwkKdl/8MxNqEccXF/3ivxJYVY8W6kgaQKXOK1ciA9XoVR7NtclHdCgk\nPZ4M8FCFArWrSIO47fa7gjEXXOwmjKliP8x4MBywyzNeM1xhn2fs0oyH+QojFbwmXwodimZcpKkt\nZzAyVSRU5AVnCyjqX60QelQBYeIBheV34oyChImz/FVJW9OnqlKqKhMmFurUzEndhqkte/dhZcKk\naeZGZKVYMZNQqRbLqnYFAHruoOevn9gNY1NbgDJMoKouRNxUIlISpS2zG9IyaUO6pLIEXKs1qRiM\n0b4SapG2musTFUgHC7AjtC8qSQMQZqTD2NzQjUrjKV/Ozb91XNoVJ+GDVDXaXnP3s1KlhE6WJv0t\nFvyvB+lLsylIKXWqVlVCW9IuFrQQTxs52UBH6zCaxyqYov1SqQCrahSri91odpAx1ehQCSgziXrI\nAW7s0YIOZIpvC+rkFu2n9GULiLgILKlp2QImVZbAUxVIB6d6pHQoC0BFhYFp7oEgPVWFa1PlEqrM\nIEpCux1oyOB7e3AROo8Ekksgo3w1apOjaWxRMtfLK6pKC9rl7IzY2RxT6xdTmzkKzteLyhjk3t8M\nCNXCzhuRijDJcVSoMliWglQZPKjtloS6037d1WUQSVOWUsoSlYK0tktvgy6AZVsn6kpOzlbX9CPL\nWyhIMQPsyBRb+3ZqTltDmD3VcU17OtG2LTTqjpUZhH/E+ouLfS8LAImQF+NS9l1NnUoD3C5+kyjY\nwWi+Lsit0QwXNCNpmOyRND85G1N7WPSHHeKaLnV0vOj26Kk98HOfowBVN/dOnSqVJ/29knkvX9U2\nhtOhKK2xNBU+o5FaQD5PscOQW5BEHrOMRf1FFsprV5EiR4Pq43cR8HdNmQIWc9k6EKKnOi6U4Xyf\nbvTnFhXSynEGSOnsAJ1Wp2qVrdrs5yOjzLV7IzSlOz8/dRo8Gv29BcEblF6WGBj02j70e0FKep23\naz7Zb2+ib3rVCS3pfYfdC1TQ0X1B1Y5LxKgAhlRRmTAyqYKn5GerozKKUd+Knu9ilMKn52cID0Yg\nEAgEAoFAIBC4M8QDRiAQCAQCgUAgELgzPDMUKc7Ayx9Kqvikgcwyo+5UBSABUAWANFZ1bVXsVAFg\nzAUpVeQkAeTs638Azf1lsC/7qwskV2rCXJJScxJmYtQiVB42VaNZAqKkK2rUqHylAbUOSmvRgFoW\nfGbhYyPv+qOmWFR24kauA0R5aGRxnzLEjUeMnBm7YcZuKLg/TkqHKnhu9xj7VPBguMI+zRip4H46\nYNTlkeZ27BNnFOfzVM0VpUIJvemSR1ROuKwjKggTZ1lmwuOyk7SacVVzU4yqTDgoHUr6U+oqqqJg\nFCLf97Z8CkSMIffzZpS2tq7L5tYEsFB5sLyBKhJVyVPFhyEVsQ/NG/UXgChrWSBC1MU+PZ2sUcmY\nULQf5yr9eKiDBidMi34ymthVEcWty3lYKErUmnA1aeBCJtRZAvHwTFgELmSh5i0UzVaufqOqmMJR\nCwhZ+zZNDcQCJalSV6MJFKNoOZrPxFJ+qi5N6FJpKmClSRktpfHWnGoOzy5YH0s6Gz2kUT1SU++h\nYRBaQU5CC0oJNA+NYkCj0g0K9wBzRagadTI3OyFN7AISGm2DF5Sh61Xl0PvaKFKrwHCdVganQiOB\n4SSv9gBnJC7wekE2QADsjtXOxBCXAfVSV4gSxbnU5pemvuKCnLVloxqsKWKOkmLHTEX7wwKJkY0+\n1yd8vOyVo44C7RW04JfNLp2CzyJwIi/rhwWSZFZ6CDXVM8DXw52Gw9LXFjTO0wQXaj9NIciVwzJt\nTfdYKwV5hZyWs0GDWuxvBatzk3oFLF87blCivL0s6qHj7TrNiFrdS9rNioIDsRlgTcHRtNz30xQh\nTdnOjS1TDGMiJGVGCRWaF3S8ZLSRBUUPPQ3YpPYs4Kg6m/apNpNmC3bbFaMaxVEDO6ZZld9mVloU\nd4rjXEGHqSvrTTPALPPdouup0xi9Wp6nhBotxlPhtl43n6DnSb+QUxWUedUofxYMkRvlTc/rSkFv\nEST49OX6dJ+3NqG3Sdc7TZPaubVgsRLskzstKsm1aT1/pUnmr2SB9FKvY0HvdCqiph5aEpZKkLbs\n1UWVSgWC0qclrd2HpH7/4enUR92hg8fT8Lk6urdew1mv+UanJv19WggPRiAQCAQCgUAgELgzxANG\nIBAIBAKBQCAQuDM8OxSpBFx+4CyPVJlBYwXlKkFQstKghoKcKnb6m0moUQNVZKPAEGOgAqBTW6rS\nVQBgVvrOVDPmmoCacCgZpWowuJJQCmE+DOKuukpCh5oI+ZKQJsLwWINmHYDxZUY+MHYvVaQrUZYY\n33UFupyRfuIl8OUVMB3kIPd74PnXgC9G8H7E4fkd6j7h6rmMsiPUHTA9FHrDfD+h7BjlXsY8MqaB\ncXWxAw0VP7GfW1C9i91DjKni3jAhJ6EC7dLc6EG+H+z4rU8OZUAF4WoeMHPS4HgZc8m4moWyU0rC\nPGXUSqhTUted0sWq9AtVR9nxdAcNRHVaQYaXQYK8Kzw7V/nAQmUxqpypQSRGytztY5yRibEfZ+RU\nRWkrz2Ij6dDoUQ+HAwYquJenI0rZ/XRARsWDdIVEFRmMi3RABjcFLkmXvs0bEhkWqFBoZ06JSwMW\nNhoajzjw0KhpE2c8Kvum0PW4jJj1d6oZl2VodKurIvQqo1nNJbXAPfOkqlyFwFPq58tUrCZZbnSo\nQpqm1IAWGE4CmKWJlP7T1VXylJQeoHSpwkhzbmpT6aAKKkabsiBiFtBrFTRuQTUxN7oLvtcUWHKS\ndVOwMff+OuCeKvGY2pMpGbG3MeJl0CrgPD1qi77T1LfO0KGKBpArqryllB14as5C5ckoC6kHoGoq\nPdRoBTysaFBGdyJTn1HaiVERjDpgAbvWY4/68VLZ6IoVXWmLLkbtWF1flVU/tfIaoAy9P6HnrJnC\nVrCylunSjdKRral0XH4Di/r9cfl17m1bUK4srZ3TE7Qrduccvh5u2y+OcauhTtrmiPJktBZdvgnN\nyeyqbYMzY+AG1JhGUZv7/mhxJNaZuuZVjFbt84pnrNSWpdIQHad56tTGcXjFs6MmmU0f0fGUtswA\nDSTB5NjbcXaBIrnPCy1fVfVKP/89v49/KrpsKnzAglJKbbsqc2atjX7KpQKs6RbUtHVf6spiOYOS\nUE5tDm20rKTlUlrQqrYCNK7Pd7PpRj/kPre5Y3SNkl/bXyZwznpdTxKUMRF4lLYI1ZOUNt+DLi+C\nMhptcn0PsbANRy91tra1fES/a1QuTUtYzKl2H1Pzar+eerVll7zIVhvsQUibTbr58K4RHoxAIBAI\nBAKBQCBwZ4gHjEAgEAgEAoFAIHBneGYoUkiM9NykwU8qxrEgJVFOMmWofS5KfSlNFWiLDpRo6Sqs\njhZkFClTPZprQk4VpSbkxCiVRM1nqEI32WVwEVWaekigQpgOqsAzk1ClSgJNyQXp2Ss14P2X/m7v\nvvOBYwZ19SVVzUpo6lmsgQSR1H/LwDxllEKYEuMwZ2WRVNtFQ/Pqq1KBUJ4kABwzoc4kgbkmoT1R\nIdCBkGZSVSxCmoH9Qagz+VKVNmZguGKkGRguK9LEyJcVaa6irnE5SQCxw9xculS6DI2pZfBuFNWf\n3YA6iLu07jPqQKi7JNSPDKGPDUnUtjI0X/rP0nhgPNbln9hXCbKTAOwL0lAx7ApyrhiGgotxxi4X\nPBgP2A8zHroghc8NEpzw+eExRirYpwkPkgYuTI+RqWLkggfpSuhTqtIlFCqhVNlbgXyCWlBYmBOH\nFtSQcMlZqVS50alerntUJLxchTZlvxNnvFQuMNWMl8oeM2dMNePleYdDzXg07zDVjKlkXM4DppIc\n/U8pb0afUsobHZIGgSMX6I+aDSxpU2oHljZnoUU1BSrL61QhoxA0+sAJKskmNhRuFgo2hKaQ0ikg\n2A5K5WlAQFMWOkuh8O01BaRGgRCKGOy3sgbcqqDax0ALnDfP4MNBgucVCaIHQJSylL5AFxdATuD9\nTn5zBu+zqE3tcgvEVTk5ahChOhe8BSYjFuYENQoJawHtCu+6X3f7gg7lKGHOdd8pUKo45s57S5+5\nqfD44IKSZ7S5uqRWeLhgd40aRwQMqdHHGq1sSJ1Gk8nRI9CVcZwdeKpOS8vLc89Ei35gUoMx2otv\nq9m0V6xSqkyjwjhFK1SdF2163BgDRypCnr6yoLOgKY2RO27aVIhiV/eJcefb4+li1lY7T34sn6AA\nHlFq2g5WKkle8UgV5exc2hhuNEGf5mgznWplcwWOzveWspYfBzYPcJLzzICoCQGN+mt0FnDvi8X4\ncFQpT6dE5aY8R9yDl9Jc1V5qC9Zn44IrA6XIuTSVIbW9FljWftfjR6K/Sh21Cp05Z+1+HVs6xloX\nLCinq3Png0RuUbVKEVXAUrp9A0pxzU1FC8OAlBMwDI22lYYs5XwgQlO3SnbvgGbbR5RAO6drM1sr\nxfnjWcPXaXOJzi1mSyfpWi3N1rWtRuU1W1xTuLaa0W7gtvPvAuHBCAQCgUAgEAgEAneGeMAIBAKB\nQCAQCAQCd4ZnhyJFwP5iQs5KfRoKhlwaLWqgiv0wI4FxMUxNEWifChJV7JNRVbqa1Kif31uAtLTh\na6qm+KPUKQAt6FxloawAQrOaWGgJpsRUmDDXjIoetA8A5ppb3ZZ2KqhcZVqoPG3lezBTa3MLYqdU\nL9a0uWSJY1YkCF6thHmWAG6lJHDRwC6qMESNIuUpMtSDtDV3MVAzgYglkNwA1JwkuOC95GgxYw80\nWJ26BnBEGQOcK9LckOriNAoKIBStNFsblF6W1VWZ0QIX1gzUMWsao+4yODOmHeOgKlQv7gsoM4ax\nIOWK/W7GkAvGXHFvnDCkigfDAbs8YyBZ3qcZD4YrDV5YcD9fLVSnRppxkaauNqV0qZEkyJKpT22f\n49SUpyYe1AYJFQkHk8UBmj0DwP10wERZt8mYUkaiirlm7FJpgf0e5xEzJ6VKLdXSRB0sSay7gwb4\nm0xtSmlyFnSqKGVugtKBRFlKVKmMPmU0ANLgfNQoM55GQ0YPqI42ZbSCcxQRtZlOBTG73KBQ5VWe\nd0WvGAXLfWkRZRJBf7lxiljGCiTQGzPAlISKlEnpELnRYajstqkj3hSaO17HtdF8ctLgUYSahcZg\n6lCsy009irpL3oJMLYIHatNJDG7Rn8cUn9Wy0jsWgfG8IlTpy3LeOy2KWlBGVRarFTSVTgG5ksBk\nmGYJwlirBGD07UwEpAzKSalkSonSoIuNTmEUKlOnWQcVc4EK1zYkfbEyCGeLW3baaDGzUUYg1C+G\nBF3jJc0FcxGqqC4vgk6yHrcFnTRqSUqdUmI0lhZ4Mm8rrVmgtk0a1YpudQprypajcpEF0LRjYVaF\ntE6RaQHmmIFpBpci1Jl5FqoOAErUAmlSzhpEM4N2Yz+GLNRAjEOnmmShCcq1QmlUAy2CxsHGjFGl\nlJ7SVePY0VSWQQBPqWkdzRduTrF5Zhl0UmlMRqcDmkKZjR9b7mNsOSf2YJPcFckWimv1NCVtHeBR\n98f+vFreGltpa+rVGRCwUD7bDghJC8Uw/7uY86u0mgqDJqWCe9qWUVbXClyldLUuVS7kaVJ1rtLs\n0gdCpCxBD2m364FedZnHQYIipgTW4K51NzQanyhgdSpVHd1cneXYvNLUQsHwGtt7WggPRiAQCAQC\ngUAgELgzxANGIBAIBAKBQCAQuDM8MxQp0gBpKVWMuWKn1Kh7g1BWBiq4yDOGZAHSKhLVFiztIslv\noooLmjHSrHSWGTtN3+m6D5oGYBVATdJkvS8D2xSrrGXKBt+i0a8cpam4NKPGrAOyAcCBMyoSLuuI\ngoTChEvetaBsQtnKuKwSoO2qDphYaTFlxMQJl2XEXBNmzriaBxxqxqHkBVWmVsI0ZXBNQqWywGxT\nUne4BtMrQJpJ01RNSAPsLWg0FRLAjUVVyChWi2BbjnbhA1B5plhTiECnelhAtRaIBqIaxhVgDSJH\nWZRsmktyUirVwdFILpPQpsYBIMbVyKAsgfuyBvATFTMN5qiBHbfoekajSsSNpjemgqT2ZLSmIXVO\njAXp89Q4T8+zdbEXo+t1ip5Q9xLmmjFzwlwl/VAzSu2/hZUOVQlTyV1JbNY6pyRUuULArOfb1NCK\nKgKpmhSq0aTkLx86PcaoVPnALSBfPlSl3IkiSp5EYQyVkQ6zurtLo1W04HtedcRoHUYDIRI6TEqi\nIKQqI3VInSahNBhxT5MosVlwOeeSXgfr2lKauqnr+pQKSD+O82knqVvWHsujdR6287bqOte8lVqJ\nDzxm643d1+gX1MdvpaMx3akdaPSpBRUESjNqAfm47bO3Z0VROoEtmtMWneX4wPsxLivsdS0C5CUS\ndSjylDnIa0BtNyMJjQVJqE6stCVmULK0Ti9q6nrO9n0QtuM2U6eeOFpdowK2wGcVSKoKVDs9qnXD\nmppyDr4tCU0nj1Jq+bwut6LTHA2fNX3G0bl4te6VpdqxeuqbLdsY8NQ3tS0Gqd0pT1DHOQHgpGpM\nmt6Xl3bUqjw3FxylnOhfV/GWWtARTRE4vk4e0Rm5LQNGubL6lnmLsd7atDHeNmhR58biAmfKHVFh\neSPPKQsuxqE7Vq/GxrpND/Y3tNiDC8qYP06gq6w5CmGjXBKJHGSj31GjRCEJRfyI3r1WtbI5jxiJ\nbT9oHbmgsQI3mrPvCuHBCAQCgUAgEAgEAneGeMAIBAKBQCAQCAQCd4ZnhiIFFloIcVdkSkwoVZ+x\nEjBzBSowU0WlhDEVzLUACcjqCxsBFCIkJIwoqEhINC2oT0af2kGpU6o8dUGlBUobCcgAMhESgAxC\nIpJfJGR1gSUkJPVvZbr+ebBwp4BUMCoKCs+oSpuZuKKAMTGjAJi4B2WbIDSZSx5QoBQpHjHx0IKw\nHXjAo7rDxBmPyr7Rpx6XHa7qgJfnHWZOOJQBj+cRhyrB2OaSMZeEq6krDHGRQHx8EPoMH5LQn4pw\nC9KsSlNAo9VQAfKVUGXsN82MfCUUmXxVRVWmVKTLWdRWrg5dhavErVYAACAASURBVGTqig7Ndb4f\nRblhNwo1Zkio+wE8EMo+o2ZxX5a9/u6gaRqIL0lgPlPZsQB+dRT3OI+dJlNGBifGwQL1AcBQgQRQ\nruJWT4yUGES8WG5pJC73RH19yQhYuocT8abKGDM1DzWrWphXJZM0l1d1XQMpyjIBDAmoWCEHWqQO\nmqlTXBq9zWgVSnurJOd8pSLU2kgEJKFIiMKRqaMkUGFwEnUxztRUhXhIQpWbSg8sZQHXCuOIHuLp\nEin1IGvqshblILRgjRKQSc/72AMcmQJTHXoaq6qHBUyCU1+yvGXwrr7cqEmLNF7mefc3KRNgk+bk\nOQLWt0DnMhyZx81wgnbR86nneboFVuuNMuHqcoHGjulVtKhzGbTvuF6ftrkNb+WvKCGnyq/LnNtm\nRTXZUtTqZb2qlB2H27Ye19frcdSP6pYXbVvRWrBKvwPwdRSpM9knt6V1uY0ybkLsY2Ar7bjOdZC8\nRbDErXxa5y/3t5m/Lnur+k/XsbW+2U90cuXJcJaudE3ZI/s7nb8VqHSRvkWFOlNuM/Dp0f6XCTel\ncB3TKE/b3/XrJ2wCy3LXN8ptsjVf3zHCgxEIBAKBQCAQCATuDPGAEQgEAoFAIBAIBO4MzwxFipnw\n8ssXSjupyJlFxSeLkg9p8D0ixpiqqPmkKoo9xNilGUOqbXmkin0WpZ99mlrgvTGVFizNVKdseUcz\nEmR/FzQhU+0KUxAVKmCtOlWa4pSU46Ys1dWnOvLKVVZW7q8KUZgq6vednKrQoalNya/to6BKeyHH\nklExcdY8wlQH7NOMiTPu5QNmzphqbnSpR/MOc00onPB4EuWpq2lAYQnMN2lAtjol1JJUdUgCsjWF\nKVOVsmWnOpUKQHPWNB+gS36TBV4zWoEYxLGRuIBIncbS02qGKjtYGaXKKN3Fu76p6HkhAhejvzBw\noB4AqO2rK0VYWjEViDUFxtLQ0+4Mm+5iOs5f0EmUyrdJMellmjuWpOspCYUMzKDRbdOCQ5FL0zZU\n156j8n3/J93g17mC13SCFUXCUyUWKjBrKlPqNCbOvpzQ47oajf2yq8OW3bm35cTdy64dTvZr5WwT\nWyaX79Z92nU4EmRxNtHyNI2Zlt3caHZuW17mte2d7SzWN2yw2cRiGyxt7QQdak2vapQtrNJO1ePr\nOJm/UQesTG/7ufJbNKyT+Ru0p7Pj4MzYuGnaYn8beYvtPE6Mw7PUkzN511JWzlC+bqxY9ASgdgp4\nuQ8dcIRu0gsxIB3vEmQTbt7v9BimnsxwZWzZz0muTq9et6kWt7FNW8ZGPjbWcbP0o2WHV6pwtDyf\np3ZypoJXZGfX5N+03q1xt67/xPg9mtc2r8cn5omngPBgBAKBQCAQCAQCgTvDM+PBQCXgx/ZgksU5\nQx7d2geUtux+CaAsj3ikbxYpafwK/eg2peXHt0OqIGJkLZc11oEtD1RbuUSMgYpbrurxkPW+XNUb\nws1Tkl0MhATGmOTj5VE/JAegHpDq4m1UZOofgSdU3ARVn0PN61GQNC7DpF07436+Eu/HqPE3NI5G\nBWGqucVbmDijMmHmjMKEueYWf+FQc/sAf+YsXo+apI7i8qrUVTTuQmVCWXyITCr7Lq9nKlN/k9re\nhru3p4u3oRtvUg1HbwtoM32Zpm+tNt5GGhYfoi48Asu2LN6y3uit5Il9n9j/dbjJGyn/UfHRx4er\nN2f2V31d7Y1aXa77bWw/3puzyOPF+uIgk1tfbKtvG1PvbLI5wB1T8w4Qq0aAbqfLdJR+/EE+oCEz\ndDz3NG5NSi7N6tlKl0O6/Suo6jrJCwHY8vrDf0BMZyvfRANMFADo8XsszUQDAB2fLQ86Rp0HpKX3\nbcAuXcusPRjs162Mx3XjeKPMup7NN/c3evNI58usx/pme69Ld+N+tY+z267M6Ojtp5VfpNHRm9LF\nvk6+WeUbljuuj9b1XFcOq7T1/s99LA+gfWwPnPxgXtKuH4eLD9fXc2aLndO95t2LSljH0jEv+6bn\nfRGTRxq8KSaRCOS8GEwAJXTvyKpea7d5YFv7W1tOiFCQqxNw3mBe9sPWHO+2W//y4iSvOvsVekOu\nxfp0L2zhxL3BuTG6Hp+nPK0rW+7LS1GMhXd/Nb6MIUCu3NNAeDACgUAgEAgEAoHAnSEeMAKBQCAQ\nCAQCgcCd4ZmhSKUZeO4He6h2rD7cPPpY09ISFu7Dto1zG87mgiTgKrntoOUy93oJ8iFncnmQ7aHl\njJYFApIup1RBBKVkVflVikVKFTkt6ViJGGMu8lF4qi1tl2ZHx2L5iF39Z0MqyErbAqAflvdts1Kq\nxtSpWQAa7WpN1bhQCtXWY2zhZaJRNSzdr1cmFPcxuq3Lsn6srjSryoQKoUzZ+mzpSr0ymhVrWVue\na2r0j1LTgoLFAEpJSxpW7fSrWsTlyJWEclWpx4WokHWGxPhobnlqH6RLnrksNf6HpgHoH61bGi+X\nFx+yW351OvqVN2gC2vleM38D3TVOZ8bCsZt+EfPBx4DQbdrH8tnVp7FEkKh9LH0UL8LGj5ZZfhyN\n/tG00Rs1jewPaDFGlvFFIOMMQFaqYyK/3OlORm0aUrd9cmMPVg5CdYTbztDK4TjtJljHNrExs6Y0\n+XFS0SlNc03I4DYOrKzRnprd2xhwFKiiY8VTn2pNC2piozsxgSvaB95cjaeBRgWAowd2Fz/ZgWk6\nLWx3k05g6+639dIZSsOtcR0N4y5oGmtaSPvnwD5JxvpROU+TABY0DV6VW6St+3q1TVt25ahqUS++\nUJd1tLZs0j3QY+IwOhXKp+mc5ilOfu7rFBAGqop/MOs6AF2m6uLjWKycWhdp0DhKVOoyjRkoBcyy\nD9Qiv7zBO6Fk3Mi2TMMAi8eEnCQOj/4iJxEASQDnrL9JqVQSkwlE4IHa/MtDauIkbS5WoZL22+Zh\nnWP9/Yybnxe0LCdispi/IU3nZL9KudK52/Kk4Pq377vTqdw8Ttimuzoa64JC5de1Xd3IlnUsYkXd\nZoyuxt+CwtkSSfPc+mrOamOUe3m4NFrMk1jOgYuxRWqXaDQqH1uqjfW6yrN6nxLCgxEIBAKBQCAQ\nCATuDPGAEQgEAoFAIBAIBO4Mzw5FamJ8wPc8BoAF5UMyoenq0kqabm67tbpDo1dRczV2F+PSDeld\njT2NHD2EXMwFc2n2fdtyHQAQoyagOMqIUUMsH7mnIbH+QVWwGJQ7FQTEyLnTRIweMuTSVG6MXmXU\nq6aA5ahXAJoC1jZFxNZri+Eh3b70zW3RQ07RQEydplE/lOZh1A4AmNWHaxQpAE2VqlGk2OhUSvtg\nUacyCojRopgJpSgdqqZG+eCidKhirkyJ34GKxa+5JFOBxu7QPBevo/1WofShLuN6pFnc/fJry0IL\noLm7+vNUgcJIc+3u/qnI8mESN3+twDSLe3+a5PcwAbWKux8AEQHjCMoJyBk0jkDOwDh0V/5uFBse\ns6YR6pAA/RX7JtRBYobUoY+ZOqDHEtGxsUyjHndkK/5IAjjzaqyhUxIzL6iIDDTalKcinlKIMzUo\nrxLXKFJKjcqp27qnUTX7J+vLXu46mz9p+83l7qlPmubyS02t3JrSBHgqU2qqTtzU15xyU5F8o/eh\n2ISIRvVDUZe92bJSA43ClBqtjzrFxbnp18vL9S1aDI7TjNqyoukslg1rpZ9VMBCvlNPWt5b1GrFM\n2yrX61uq8PRrzDpvXYencCxM4gS1g0+kt822TI5P5PPy94iGhn4eehlell8vr9a3zxsf57VfHVN1\nVb41qP8xS19TIqAyGCTz4NF+uNG5qFo+L4/JaKatb3j5ex0WClK0UI8CnE3Z/Uc2G6OFKhTaPQY5\n+9H8bOXRyi/uT6y8u09ZqD15aH8zIGN6NRYSu22tC4zylEiKtn2s1KUkSNTxWFmNB1qMM72vWcQF\n4ba8aD9xo6hj8ct2aMfHe824OYutMdMa7tJ4lb7KW6hP8bL8Fo3wKB2r7Ry2xj3TifngjhAejEAg\nEAgEAoFAIHBniAeMQCAQCAQCgUAgcGd4ZihSOExIb/9+oX0kpXwQCeXDlB0Waar4kEQegYcsZRI1\nRQejhNjvkbKDuiqPlB0yUHW55u7OtOUF5aNRQVx9Xn1n7eo0FR7ipvywcD1mcVVaoME5Y6nUYLQq\nXW/UKqOREDpdxKnvrIOMXRdgDDgdRAx4cm+l9/JtUUlsvXu/j4OB1UYt6fk9GBjAjmYCAgjsAjVq\nI5jFJa11dIUHyS/VKCVe4YlWbk9PBVmpRnCnWwFLqsgWpWCtFLFQjfDu/3UnbqG5x+ko7ZgCgqW7\n+5q0ozwfuGntxvfbmYrUwv3u7Nnc6OrOR0VzsbP6yX3Qp+pc8U1phIwewO2Qe56zWfPcb/icV0wc\nt/91Gh3nO/ttmzgqU9tOXebsA0c622snqKorvvZ0UyhDJaE+eBtc05w0bU1z6vQ/y+O+7dwVf6gI\n7U/K2bKWLdzoUY32N9dGl0pTkW2morSsCsxFaIBzEWWfeQbXKmo+00GoMfMMLqLww9NBzskwAJSE\nAjiOSgkc+rXAFH5s7vfXgSHLOFhfB2TSU1oKdfU0T3PJxwHVGj1G53bApS1sfpnmzONoDErexlhd\nmtUxXsnku67qVN4q/VSQunbsi/pcA/2E/IT7vA6+nutoZ8sNN3a9Tlufu0Xa8TnbpNDp+lEdG2lL\ne6Hr5+1TeVv78M2tus49jzSS6nr7dhxGWyLb4NRx93YfnfbN/nQn8Ca2/6R23yrbTt6kGrqdH9EN\n181dUZ22KYZ0lNfqravt3PIiLQLtBQKBQCAQCAQCgfcGxANGIBAIBAKBQCAQuDM8OxSpcQA++iNV\nPUDc19Xc2U1Nqruuza1tCg0W/AtADypmru+m+mTl0dSiFvQlV2d1SlDLbbBQjPDbtjSnMnVMKXHH\n7FUFIJQLUjcjVZb2FYCaOhZr36DRppqogdFOAEeh4k79UDUdsl/n+pQu7T46o1G1cvDr2+mGo/Wt\nc30DbHk1U6pgJt23um0XlJXilmkjf51nGXS8nW9Lo3ItG3cUvOcMfea40tXBnSp3Lm0LW77lm8pQ\nPAkl44x7+yjtyEZWRa+pa4vStC7Pzh3NPuM6nKiaT563le24tLWqyNk0/T0K1AQcBbAzapTkbbQ5\nWXsYUJoWJa3fKfnUpsLjqCymKNXoWL1NPkBao14tyi33QUq7au3EqhxLx22qSNl+XP8sqAE3pOxc\nB14bn3bDoszWa70jCgctaQ2NHcKuzJmGtLzbHccrwhPs8mkq2DwJruvLrexj2tNy/Pl8O4dtW5+u\n+zhO7NsQlrblzWybZnUuzV3Lt+q5No2O0k5RuU61ZbO+m2y3Xj5XzkbMbW4SnmSbW9jwSfrUqbw1\nVcqlbdGeffpRfau5MFSkAoFAIBAIBAKBwHsF4gEjEAgEAoFAIBAI3BmeGYoUDwkvfcRDWVYa1IJi\nhO66Pgq0t/G7nUdHea3em6Sd2hboFCgoXUnT/HZNbeNoWz4ut6I2LZUbnAu1daD+ERqdYlGPqS15\nipMPgqOgzTRbOE9/OklleRo+vjN+Vd7I22zBqtwR62K1fpI2cw527Lzy43uXu5Xz7vh1G7fO97n9\nPWk7z5XdTD/BS9jEsuzZJm3Yyqndv8dwsp9ONMqPnzUVY6Mu9onNzb6iV/nlBQWLj1z0C1e9rZ9R\nSjli7/CJcivql1dNObvNFuVggzqwmXZ0HBtp6zpb2gbt4MQ+blLvcR7frD1tnW+wD17m1dN5y+Na\n1X0UhG6rzbqwoKat6nFpy+OxbY8N+mhI35TetgjOd8MBv1Fuc1im1dx/xNvcrm9J93Erq2DAizpO\npC/qcu3Z2sd1dKTN+tPNyp2rnzf64dqy6zZem7fdps1tPa4xiVtRr7Z2c525buQf2/w6/3iOX2y3\nlfYUEB6MQCAQCAQCgUAgcGeIB4xAIBAIBAKBQCBwZ3h2KFIJuPxJGkhti4q0FXzGU4BOUZlc3mbw\nIxznHW17lMbX5C9/m4fL72Nx8K44r9g0ju7U2+tdio5Xc8RZ2tjXuXRsevtup3NyU7rN0fqKurEu\nd8p1uEXXcOm0Xr6uzk0qBG2XO1fHdXkr3Fi94kSZk9gqd1MX8nVu63Pu8I0y51RLrlc0sTTeSDtX\nfiNvq30n28nHZbfKbeSfTDu1/SvAwkbWfbs4YN5Iw4Kpt6Rjbdh+K+NoNse7OEkbOk2z2thuc5vj\nek+OX8aSZsbLepeBrXhZn6uXnWIWr/JNWYqYhQl3tH9rGy/TuFOVFspdR23V7XwQUKMwWZvLat3K\ntG3W5WprkyiK6YG1ci6fWQMqrsr4NFcf635bp9m6daQucyk9HwBq7TRBXx4AryhY1OjS+i7WUY1I\nr5OkwXglPy3y4Lf3tCnarrdtt6oP6/RF3Vv1KvVpc58baVvlfD0bdK1XUk7KwpXd2P7EPckWrWqx\nvzP1nKSqrduzatfZMifodTeed+9ifr7hdXr7Gn/Ti/yTIzwYgUAgEAgEAoFA4M7wih8wiOhLiOgF\nImIi+uhryn4eEf2g/n3+mXIvrOsiorcQ0a96pe0NBAKBQCAQCAQCTw93QZH6egB/HMC3nytERB8P\n4NMAvB7ADOA7iOjbmfmb7qANN0IZV26zNW3ixPqCnuTTPXhFQWJXlo+3oVU9C9rSTZQYTrVj091G\nd0qTaLWe86yt887RcU4sn6P7nKMx2O/NlF9O5x+ptvBWmeN9HdMLTpT3CiprSoUFFCu2f17SGYBN\nSoMvS0pLWJRdq8Y4WsFaIeZo2au/wG3vsBloDLjGrW5lXNBLWuVr8Mu2DxuryZXxgTKBrnJCfRtT\nb/P1LCmTy203leKwTsNR2ik6pVeoW5ZZ9cVGHUf5fp/YKONxavvV8o3mmHPpp+q5BjdSMtl075+p\n4xbzylb+jVSzNvbT5nTGYn7nRP2a4Ma1VIpOI1NWkF+XZdqYc9ilufzWVlrNN9KaHsSQl2lu/jqm\ngznFqLoObMjL5fX8o8tH5f0c1COWap5v48bc5PPXecyODryRdmquQ5+Dt/JOpt0kb92e22IdmXUD\ni2GYbjgoN+bwzXuTa7bhrf0dR0G9UV1Hbb+mnk2q1qny57a9aR3n0nCD+fCm5+ao3pttd9vAoa8U\nr/gBg5nfCqBzB0/jNwB4EzO/rOW/GvLA8cQPGET0dvS2fyCAf8zMv/xJ6wkEAoFAIBAIBAJ3i3fn\nR96vBfC33foLAD71TPmvJ6JLt/6RtsDMHwsARPTBAN4K4AvurpmBQCAQCAQCgUDgtnh3q0h5P811\nLo9PZebva4WJ3uIzieghgL8B4I3M/K3rjYnocwB8jkuq3/Nln/NjT9ziwLOOhwBeek83IvBeibCd\nwG0QdhO4LcJ2ArfBT30alb47HzDeCeB1bv3DNe2JQUQD5NuPNzPzn98qw8xfBOCL3DY/wswfepv9\nBZ5dhN0EbouwncBtEHYTuC3CdgK3ARH9yNOo990pU/uXAXw6ET0goj2AzwDwtbes6ysBvJOZ/8id\ntS4QCAQCgUAgEAi8YtyFTO2X6dPPhwL4m0T0T1zeNxDRxwIAM78FwNcB+F4A3w/gm5n5G2+xvw+H\nPJz8IiL6Lv37qld6HIFAIBAIBAKBQOCV4y5UpH47gN9+Iu8Nq/U3AnjjDep83UbaJ7jV22h6fdH1\nRQKBI4TdBG6LsJ3AbRB2E7gtwnYCt8FTsRvi95A+biAQCAQCgUAgEHjfw7vzG4xAIBAIBAKBQCDw\nPo54wAgEAoFAIBAIBAJ3hnjACAQCgUAgEAgEAneGeMAIBAKBQCAQCAQCd4Z4wAgEAoFAIBAIBAJ3\nhnjACAQCgUAgEAgEAneGeMAIBAKBQCAQCAQCd4Z4wAgEAoFAIBAIBAJ3hnjACAQCgUAgEAgEAneG\neMAIBAKBQCAQCAQCd4Z4wAgEAoFAIBAIBAJ3hnjACAQCgUAgEAgEAneGeMAIBAKBQCAQCAQCd4Z4\nwAgEAoFAIBAIBAJ3hnjACAQCgRMgorcQ0RfccZ0DETERfcJd1ruxnw8gom8iokdE9MLT3NfGvu+8\n394bcJPjvm3fkOBzieifEtFLWs/rbtvWQCAQeJqIB4xAIPCqgd40MRF9xir9HhH9hOZ95LuxSZ8C\n4I+5dnw7Ef2hd+P+Xwl+G4APAfB6AD//PdyWZwVP015+u/59FoD/AMAA4HffUd0LENHvI6J/oA8y\nP0ZEX0NEP+UG230uEf2oPtT+NSL6qU+jfYFA4NWPeMAIBAKvNvwIgP9ilfZrAbzr3d0QZv7XzPzS\nu3u/d4SfDuDvM/M/YeYff0835i5BRPv3dBu28JTt5b8F8LnM/M3M/AMAvgPAa57Svn4JgC8C8LEA\n/lMAPxvA/35uAyL6LQA+D8DvAPCLATx33TaBQOB9F/GAEQgEXm34KwB+PhG91qV9OoC/4AsR0X9F\nRN9FRC8T0Q8T0ecT0eDy35+I/ioRPSaiHyCiX7mmJqnH5I8T0VcS0YtE9AIR/cZV/hfo8psA/IcA\n/qDW84Kmv0BEn7lqGxPRJ+ry80T0ZmsHgE9aHzARZW3/j2g73kJErz/VQUT0gIi+ioj+jb5lfjMR\nfZBvt/bZb9a2vGmjjk8joncQ0SUR/b9E9Gdd3kBEbySid2r+9xPRr75p39+ivWfPlfbHFxLR/0xE\n7wLwJ2/SDt3uT+h2dn7fQEQfSkR/U7f7DiL68BPt/hQi+mG3/unark9y5+1FIvo4t7+z9qLYnbK5\nE+14LYCfAeCbXPJ/DOC7z213WzDzG5j5LzDzO5j5OwH8LgC/nIieP7PZ7wTwp5n5rzDzdwH4DAAf\nT0Qf8zTaGAgEXt2IB4xAIPBqw4sA/hqA3wQARPTTIG9U129DE4DfA+CjAfw3AD4TwG91+V8C4CMB\n/HKIR+QPnNjfZwF4B4B/H8CbAHwNEX3gRrnPBvCdkJvbD8bNaUd/CsBHAfiPIDf9f3ijzB8E8AYA\nn6bt+A4A30JEz52o84sB/DLI2+WPh1Ch/rzL/xQAbwbwddrWz/YbE9EHA/ga3e/PBPCrAPx9V+QP\nA/ivITeWHwXgcwBMLv+6vn/S9t7kXH0WgB+E0IP+5BO047cC+D7d7m/ofr8Kcl5+HgCCvK3fwtsA\nvNY97P5SAP9KfwE5VxnLvjOcs5eb2pzh5wL458z8L/Vh7E8BeB2WfdhARF+hD3Kn/v7PM/vawgcA\nuATw8on97bWNf8vSmPmHALwA4Bc+4b4CgcD7Apg5/uIv/uLvVfEH4C0AvgDAJwP4fk37vQD+MuSG\nigF85IltPxfA39Ll5yE3xJ/o8j9Jt/+E1f6+wa0PkJuoX+Xb4/K/HcAfWu33BQCfuUpjAJ8IoYlM\nAD7Z5X2ybweACwCPAHz0qo4fAPCbNo7zNVrnG1zaz9I6P8ql/QUAbzrRVz8PwE8AeLiRdw9yM/mp\nT3DeWt+v++269t7kXGl933bLdvjz+1O13t/j0n4jgH91ps53APjP3Tn5/QD+tq5/zqnjPmMvZ23u\nRBv+B8jD0W/R9jOA33Gm/AdCHthO/X3IE5zbPYD/C8BXnCnz07RNP2eV/p0Afv9N9xV/8Rd/7zt/\nJ13agUAg8B7EtwB4PyL6+ZA32r9vXYCIfjGAP4R+kzoA+Gea/RG67t8sv/3Evr7XFph5JqJ/CblB\nuwv8dG3Hd7q071yV+XcgN/V/l4h8+j3d/lSdf9cSmPkdRPRvId6If3SDdn03gO8B8ENE9A0AvgHA\nX2XmA+QGdA+5Ed7ENX3/pO0dcbNz9Q9v2Y7vdcv/n/7+o1Xa+xNRZuaysd+3AfilRPQ3AXwQgC8D\n8LlEtIN4Mt62sc11eFKb+7mQc/bXdZ+fCuBPE9Hbmfnvrgsz878A8C9u0a4FiCijUxN/z7mir3Rf\ngUDgfQtBkQoEAq866I3eX4LQSz4IwDf6fCJ6DeSN7j8F8Osg9Jc/BrlZBfoND99gd9NqnfFkc2N1\n+wMRjS7vJu14qL+fAOBj3N/PBPClG+Vf8c0cM8+6v98AucH+4wD+jt40n63/Bn3/pO296bl6dMt2\ntPPLzLxOc/s91c63QW7qPx7A32Hmfw3g/4FQf34JbveA8aQ293oA383MP87M387MvwvAD0E8UUe4\nC4oUESUIfetnAfgVfP7j9X8JGQfrh6Sfgjt40AkEAu99CA9GIBB4teLPQSgo/xMzT6u3+z8TwPsB\n+O+Z+d8CABF9mMv/IQAFcgP2rZq2eTP2hJggnHuPH4dQbww/xy3/IIAZwC9A/0B3/e3G9wM4APhg\nZj7lZfGwOj8O4nkAEf0sSH+84wbbA2gPcd8G4NuI6E9CHjQ+BvJ2/QryAPL1G5te1/dP2t5/jtud\nqydtx23xNsiN9q8B8FZNeyvkO4r3g/PMbGDLXp4IRHQP4lX6AZf2PIAPBfB3Tmz2BwB84ZlqH1+z\nT4J8p/JxAH6pPlSdBDNfEdF3Q76h+Vat4yMgtMa/d27bQCDwvol4wAgEAq9KMPP3ENEHANh6c/pO\nyM3bbyOir4Vw9n8N5ANxMPNPaPoXkyg8EYA3WtWvoFk/DODjiOhDADxi5n8Dudn8DCL6Rq27xUFg\n5ncR0V/SdvwWbcfnr47zXUT0pQD+jHoQ/gHkgeVXA/iLzPyPVuVfJKKvBvCniOhFCH//ywF8CzP/\n3zc5CCL6hZAHiG+BfLT8n0EeKn6YmR/rA8eXEFGFUJN+BoDEzN+Ia/p+jZu095bn6onacVsw8z8l\noh+FeHv+jCa/DcD/BuAfXPNmf8tenhQfBXlIeSMR/V7INzt/FMBbmfmINqZtfqUUqa+A2N+vBADq\n8Sx+nJkLEf1RyHccv9lt86UQ2tbfhzzgfzGAt7EoSgUCgWcMQZEKBAKvWjDzv2Lmq430fwFRB/pt\nkDfunwR3Y6/4bAh95q0QHrm90T2q7wnwhQB+MuQGym7u/kcA3wVR0PmLuu7xuwD8YwB/W/M/H8f4\n7yA33V+oZb8OwIdBbv638LshN7n/B+T4/jmOY4ecw7sgBNxLAgAAIABJREFUMqffDPGgfBqAT2Fm\n+0bhD0JUpr5U878Y+ib+hn3/pO194nN1y3bcFm+DPMzY9zNvhfTHt1+z3Za9PCl+LsQL9P6Q71T+\nGoB/AnngeVr4rRDlqL8H4Mfcn3mIPhiAl5EGM381xPa/HOLVeRnAr3+KbQwEAq9iUKekBgKBwPsu\niMj48h+kN6eBVyniXHUQ0Z8G8Bpm/oxrCwcCgcCrBEGRCgQC75NQBarXQt4cfxjkbfw3P+s3rK9G\nxLk6i9dDPD+BQCDwXoOgSAUCgfdVJMjHrt8H4GshN6+f9h5tUeAU4lydxs+B9EsgEAi81+BGFCki\n+mbIR4cV8gHd77QPt4joZ0DUXj4AwL8F8F+e+tCQiD4PEigIAP4SM//+E+VegAQd+j6X9hYAX8jM\nf/1GRxYIBAKBQCAQCATe7bipB+PXM/PrmfljILr0X+3yvhLAn2Xmfxeipf6/bFVARB8PeSP1egA/\nG8B/QkS/4tYtDwQCgUAgEAgEAq863OgBwzTGFc9DPBkgog+EBDeySJ9vBvARRPS6jWp+A4A3MfPL\nqgrz1bilC5yI3k5E36V/P0pE33abegKBQCAQCAQCgcDd4sYfeRPR/woJogMAn6y/HwbgRzUqLJiZ\nieidkI/1XlhV8VqITKPhBQCfemaXX09El279I22BmT9W2/TBELnAL7jpcQQCgUAgEAgEAoGnhxs/\nYFhAHSL6dAB/AsAbLGtVlHAavuy5cgDwqRvfYMCtPwTwNwC8kZm/dbUtiOhzIFGALeVD9sPDjRZx\n/2VtorWS9B+55XM4lW311rZijZS/k21y9fr9+014tU2tve6U3H58I3m1/cYptPJn28enw2BttbeV\nXfU1s/wR9X0THdeDVb9snbuzICBZvbRxTnmjjX5zV5aOFo6xaVvs9r/RlutGxdE+rm/G6WNaDUff\nH9pP7G1vvQ93DqmdRyyPe42jPtyw6WWBDXt3dmC2w6u+Xe9rve3W+nVYnC/fT9I33MZMr5as+ur7\n5Ny42bD7rb452v7ccdCJVT/Oz0zk64ytsQtcY9sbTW32cZN5ZD323cqNpda35qMT2y5sZ+MY/Hmy\n4/V9eGbeJH/8Wzbc6jszL6zPAaA2xjia51aHf9KgNufVrTlijaUdPdkkttqvHdf6+H1Zf3082T9n\nDQpLe7rBdcPash6fN5131+vre4wnxXq72143jvp/4xq1ONab7GijTltu7XVzxNHmrpy/h/G737ym\nreaR9fXg3L5YjWk1nm2ZN6ogXm1/yoyuuw72ghtzY9vgdNd7G772nuKoAwEGruYXD8y8P7GHW+OJ\nZWqZ+c8R0VcQ0U8G8M8AfCgRDcw8ExFBvBrv3Nj0nQBe59Y//ES5a0FEA4CvB/BmZv7zJ9r5RQC+\nyNYvxuf4l/17n93rqBUoFXSYgLkA8wy+vAJKAR8OUihn0G4H5ATa7+Wk5XRsHGaEifqAkEYAzKBp\nBuYCfvQYPM9AKaBhAHYj6OJiWSczcHXQcvqwYPtPCcgJPGQpzwyqLA8Vl1fgaUJ910tAItBuh/T8\nc8BuRL1/AQwJnLV9zEBhUCmgq1m294NxN4KHBB4S6n6Q43L7S1czaCqgxwfQXGR7a+uQgaRtHAcw\nUSfiVYBKkX6/OkifHCbwo0fgeQYNg/T3MIDuXwA592Pd6s9pArQ/+fIKXCrAFSDdYSKgMrgUUCKp\n/+ED0DgC9y563XYxnks/nrkApSzP8TBI2Zz7ud6yB2agaju1bThM4MMB9dEjUM5IDx8A4w405NYW\n3o1AJnBKQKZVfQBtXfi125FwfGNt5Xy/+/NlD6OAnLP9KMc2DqgPd6hDwvxgAA+EOhDqqDbODGKA\nCpAvK/KhYnh5Al0VpMMMevmxnJ+rg5wPu2nKWfo+J9nfOIg95yzHS9TtxU/syfVFFRukwwyaq+zr\n6oD6rhfBhwO4MtK9C9A4yPlanROUAmYdM7ZcCriytBUAKIH8PinJmBoGUBa7pvv3gXFAfc098G5A\n3WWUi4w6SB8RA1QZ+XFBmgrSSwfQNIMeXfZ9m73mDLKL2m5c9I2MpZWN2fi146irGwMPq9fGMFGb\nB+oug7McWx2TjnO3aZULHjUbqrJeap8DHl3KfHU4gB9fAkQyxnY7Gf/39uBMco4hddFUZKxdHZod\n8jz3h7BEvT9SanMPgN5vNu5LaXMqV5bzRn4OtjlU+1htXWypqi3IHAFAzm8i+bVtNK33ZwLtd8Bg\nY+UeeJ9R7g2omWTeHPSBIwFUATCQZm42QXMVu3jxEnSYwC++BH58CT5MoIs9aL8DPXwAHgfwftfG\nh53/1odzAR49Bk8T+OVH4FJBOYEe3Jd5VK9fSEnO9dY1jFnqKrXPV/Ms7SlFzoudk/UNX0pyLctJ\nxnaSfcHP2238OVtdpfM0tTmSmUG7Hej+Panbn68rbZvOrf4aDUr9fKs9eREbsjJmF5Vlf6W28380\nfGzc37t3dF1azNeebG7zbdX7DJ1z5Xqg86HtL+c+RvOKsb6+IXe2y6nbJee8mDMByDwKHLfL6pyr\nLE+z2FAp4EeXwNUVyosvApSQLvagBw9AuxHY7+R6aba0uub1et2xtvuqS/A0oz56JGWHEenehcyj\n49jbXGVc82Fq54sePpR55GLXj9OOZZJ7FyoV0OU2j9Sy7OOk49r6z+bgq0ObR4gIGEexu90OvB9R\nX3MfvM+Y74/gBHDWub0w8uMZ6VDkWvT4oPPjyrZ1rmKzfWvDbuzny+bu2c1lV4d2fba5CLuxz4vu\nGKDjFknuUWiQax9f7MRWL8Z2T8E6j1HVa0itoMsJ3/SOP/bja9u/C1z7gEFEzwF4yMw/quu/FhJd\n9l8rJeofAvhNAN4E4NcBeIGZX9io6i8D+FIi+nIAM4DPAPB5t2z3VwJ4JzP/kSfayg82Jh2cSa6p\nduJLAe5dLCdVQE52Su3Gs13k7IbWJtiLvQzEoU8cvBvFgB7el4Hobub7wzfrQK+tbp5mmcDtNNlN\n7Tj0uq2u/Q5gRvpJz/e6ddIiZvBc5UIHHXQ22SSSjvFvz+wGBhWJSrvRI5Z+oKsiDyfrhwu9ALG/\nYddjaw8Hc2mDSfqUQPcupC12E+ouKDRjOShs0C7esiTZDgDbdcLfEO7GXm+bKN1Ngz6k2cNme+g5\nTP0GcBhAF3sZwOMoF6uUwBi2Lw5As6320HSxBz18IM22C7Hvr4Q2EdRRLx7W78xIk9yMpcvSLwyH\nyd3A2w1p1rrdBKY3b5wIBLtpswcxvfkYB3mwzFlsh2Qy5SoPE5T0HOi5oAKkqYKK3PDQpO3Rh127\n4eFSQKOei732YU6geVxM+r3jVjchZutD7utWLmfgYo80DP0mZg1nT/2hSy5CVFkebjWv3WjYQwcA\nygCRPLRjN4LGEXz/Qm4u742oQwKPSW7Sz73gs5spu0myC+luBA9Ds+H+ULC6kPsHRru42k2Lf2Cy\nbrMLWc5yoz8k8JjlpcFAKHt5UOYMeXgkEpNwL7nsYmrnOk1ih2YHGDIIOzm3+kBH7SVGAa4OoJRA\n2eYdSadS5cGk9ocFAHI+oQ+cdvPlH/ZSAg0sN/dV2kE6D/M093OoD4w8z2LHAJiSjFvr43FcvHhf\nPEwQ6Y2zPFC2MaIvX+pukPOeCXWf5VcfLuGGlj1c2LxPZWnbPNpLi+eQnntNG8tsN45Zb179ywUz\ncdLr170LmVvu3z8eN6mPFSq1vSA4+QaZZDxyys4ea+v79tCVVtuWCqYCyqsxaDZbSrvR5HnuN3P2\n0kYfrmk3gvQhgFLqdS1egiXQOMhcCYjt2IOFPVRMU3uA58rtxUB7aLU6U3KeutpfJlj77Jq0l5u1\n9tJryO2lHY82X7pzPdt1NEkdtUoZeynor1/tZZHehFrba+kPtBd7sfmLnRy3jmW2m0Z/jdZ+oFJl\n/E5201/atW6rHXT/ArjYY3j+uXZOeMjglNrDlKStHjJZ+pyK2BXpPGRzGQHAWJEv9n077edmI9pm\nAGITQL+m6jWfgHb7glLbHIiiD6hmwlkfcNfzh7sW0jyLA2yw67ecYxpH8HMPUS9G1P2A6bkd6i5h\nvp/k5UHSlwYMpHkEFUYqjPxY5sb8eEbSayE9ugLxJC8/r67Ah0O/hriHcDa7NP8By8sjWj+Mu75o\n91BF5jh+/FgeCh8+AGfte3shbfbiHjCYIfNoSdsvpu4IN/FgPA/gzUR0DzK1/ThEQtZa9VkA3kRE\nvw/AuwB8um1IRN8A4A8w89uZ+S1E9HUAvlezv5aZv/FJG0xEHw55OPk+IvouTX47M3/mk9YVCAQC\ngUAgEAgE7hbXPmAw8z8D8AvO5P9jAL/oRN4bVutvBPDGG+zzdRtpn+BWz70nDAQCgUAgEAgEAu8h\nPPE3GO/NWLinlapDc+m0p8Oh058gLvPmpqYEJHXDlu6aQq3C94ZzG7btHOd567sNYOH6bu0rD8VF\n5tyX1XHTG+fziOO64n4W/ZtmoQDU4+Pnq0PnMxud4P59pN2oLtl9d7NB3b+HCTTN4JdeBl8dhLOb\nCGm/F/5izstvURx9gx0VgtQdj8HRjDa+I6C5dlqLUS+YxfU8DOISNH6ibWsuSEcZ4uz47Ov6K0lf\nkXGNqX23sIC5VmelUcylU9eMG7mmDwxK+1CaQjuGKtQWsjI5iY+Q9RsA7u0Ut3vVb1+uhHM6Tagv\nviSUA6VxNV5rdjQp129s7nflnQIQ+1Uus/A3M5JSavLl2Kkguwz/MTMxkA7KgXW0DQyDHNPFXlzZ\nRnNIypGuBcyOWsf9/DYOqn5PAUBscRwbTWHBYTWq2c650099i2CL3i4r61hRt/5hamPB2m3fE9C9\ne0IjGwfwvZ3QjcYMHmhxzu37i8V8Y+M1CZWSyVEz/DcD1idJaBVC26Se5znH87zgEDdKH9Bpfffv\nC4c6JxArhWlIAJLQWRIDTMLCIYDzupOEIdPnIuEh1zHLIe134FyAoQg1wWzN7LYo19360igacwEb\nR3uehT5gNLTMYE6d858cNc6+Tcqp07TqKHWOQpUh+7ZlzcFvvHTqfd7oiY6jrXM+2xy4M+qgfpOm\ndCijMBrSoba+kuN0cy5LX1DV7yfaN3DTkmbavuNbzU/ePpRq1+eS2sou6DZKXekCA0IBopw6fUTp\nGZzsG8IMSkJZpYv9kuLk5l4+TH1en2cgZ6T9Xq57Nv7Taj5XyiqVoVORbK6yduQ+Py9GsdmPHfN6\nLgVa+4i5t4Fd3/lxtv6uCysYbcu2W10zOl2R5FuwVR5N8p3N4nvDaRKb1PqbrRncHA2lksHGBO96\nP2alM+pvsxM378g3OlVs7PIg9V1eynhz33Ziv+/fuYwDeOeumzbejG6dXDsBoCilyaipdv9RHIUS\ncN8/5W4Tdp6NIkzuz61Xv1+bh4wadZjEDqcDyrteAmpBevAAMEqyfhvEjq4OPweojdpxlv0AHjPm\nexl1l1B3hOl+QhkJ5QKoWdpSM9o3iFQZaQbyZUaaGeOjjHRg5ENFfrST76we3pdvHcxenZ33byM2\n7umsr+uqj22+uCfjM7k5t9Xrv21UiiWtPzNq37wd07vvCk+v5kAgEAgEAoFAIPDMIR4wAoFAIBAI\nBAKBwJ3hGaJICbVHFp171aRElXZgsoek7iujqtDg3Mr3LtoX+v5LfZExy8euLqf+AqBTnQjgMbfl\n9TY+tgA5Vzc572NXZ6ridj9MTXauyd3Os/VAPwYPlaqk3YgmwWhudHNXmqsUEEUC3oEe3BPXn9Ee\nIG7qRgswCsTh0Fy+9dEjIGUkVWSCudRzEn7GlouwSVHWrhYDdClSkypU2cgug6oqG9kkGjf6uPa+\nS6YSNtau/HF11WTg+Er2a67NheqM0Ti8xObqOJhZzsU0oz6+BM8TQAn54QNxVQNCFagmj0mAKXZU\nFlcqMur9i+YmTffvNcrEMtYClIqi58Uk7bx8o5ZjUyJS2UcQiR2pdG3KoppSd4O0QdvEREKlKI7O\nZwoezEItqHOnHxGBMYp9bMmJWvtzBll/WD97xS9S2yJCU7jx9BC3v0ajMiUgo6KtKQ/N1lRhxZ87\npZpVG6spgfcmVQwZWAyhSigljTSt0U9GtQ/eg+ZBqASH3OULDUb/UztbtNOUdEw1xUm0NkU2MmlS\nOU5S2Vsbj8SMpO709Cj1V0wraqLQpYz2qemN+sNIB6Fg4Erkd3F1ELqeU8Yio5XlLGOVOg0HQ5a2\nGRXUU3nWaOnm0l/THISC2NRnnC00eh47ulRTCqtNbcpUAzGOvR+GLIpqqhglqoMEqNmZbG86qOzs\n5SRzyTQLLcXb5NreSgHr/GISnpQzksofN4lZL33elGM2qI6OlrZQSfJSzKUIRenevS4ty3tVAstd\njcjmnHFY0JHI9s8sfc5OjcgkMo3yOg4LKVXfB15ClX3a2hY36CFoCmFOkbBmHXPcbJ3X9mRKhAua\nzIrGa9s1CvTUVayMRsrcFYAqg4w+bEPFaJHTvCn7C0e7ZFOnGvo1C7QD8gOZg908VQejvvS+JJOa\ntT5ibtKjTS7W6JRFZQBzBq3pgbW28d3HoVJ3q/abpyjbNd/Pm+18SX677ygF9fGl9JXOCRh3olil\n1xej8vCg121ybTOT0H5lZrkXKyy2pedteL/nXWHqcw258aNjiUnnY6X98phQc0K5l1BHwnRPZKbr\nAKFGDYS6Q1PYY53zqQCpEGoBOLHSphPSjlHmhGEgpHlAuhhUiW/VbytKdZtv/XHbNboyqOp1159z\n6Ky4oEeiU+wnVQ9r8zpt358+JYQHIxAIBAKBQCAQCNwZ4gEjEAgEAoFAIBAI3BmeHYoUQ1yqwNKl\npyo0NDCw3zllF1qoA7Wow0q9MZdeU9/QbcwFlqbaVRweK43g8qpTNy72XY0mS9CeOvTnvUY9sSA5\ns1MaMXilC6VONHqUqVyVHoAKgBynpyWZe9aOMSXUsVNh6m7AOtKvqFdYO/V37nQjcwcajcJoW1Qr\nUnNr12PX3EY0VfauWesbc7v7qJUWhdqiVg6ptVmUo7Q+U7dRlzpXqJpVBStFi0oRF/gM6StmtAM2\nl3kpqgbi1MOszVv0KaNOXVwAF0C2YEYuanPdDV1VYnDqGoCo/VSWX0Bc10Z9qeoqTzimSTVz7tGU\njdbAejwW/ZR9tF5VhqG5022asti4UhkBpI8zgWsGjVlc2g/uqR3XTm1Q5Sww90jW3q7NLhy1ZRGR\nG0bDqz6hB6aaZlSlndAoNBPajaB0v9NeLJjgqLSXdSAmtY9GSWzUAOd6virC8JpSV3NJK6qjjeEi\nYwIV/fjnAn78WOgxjy9bxGDcuyfUFeyXaivLkyn0NaBRXRptxJSBUl7QDGTuE1c5PVbbsLHoKYhA\nm1dov280hs3ozIBSYUTVq9H1HF2HG/WDlvOVnkc5530+aLQXCzZqlBVvz6T0OrNXHw255S8pXygS\n9LPTpOpSNdD6P2VR1zLY8GaWw2rKOVUDjzLS5byc56cZ/Ohxp68RHQf8TEnT5JqTPuD9T7fd+tT3\nBQu1q9GfzG6JOtUxSUC6RolR2mtTL9LxsFZvajbgwDu37ukWwLFaYqP0wNFU0IPR+W1h9J6+TLNR\noCqIGFyUkmbqOUbRcVGMG9XQRXhv9bvrBecs6+s+bhRACcyHxI0mLfmrceiuYZS5B4ADlMapfaoB\nTKky6Pnn+uZ2zW3935UnhUa4VKZr7MBZ54/CSAdVU5rmTlP2imK+rSmBdgnAuDyP/ny3uXo1H2u/\nNprtYUL1Y5KoKRF6qjD02pz2e3c9TKrMNqpS29CuI+2413MMAB6oU4KMbopd6+9GJze6LptamwUj\nLUv6624EDxn04AI8ZtBO1ADBQB5UkYvFfqkwqOq9DwEtoKKpSBUgX0JVpGpTkRpenkBTQXrpSuYf\nUyy1vm9U7gGLiOyt7x31zebE9blddFIP1gxWhVB/fc0J6ZRq21NCeDACgUAgEAgEAoHAnSEeMAKB\nQCAQCAQCgcCd4RmiSDFwebVch3OZA8113agAjh5Qd4OoJ2mQqVPBlsSdBnAqSJmAWdQemuKOKm6w\noxsIVaciTea+1yBMhUGPLsXl/tJL4Msr1MOEdO9CqB/372mAttxdrfsRzQ16/0Lqry7wzYayCRsV\nbJQgUrzX4GpDQtkL1ajuCTWTHrcoKaxduMQSdIY0wFS+EopIvqxIpYKminQ1SxCiS1W7qqJE02gu\n1o/ena9qJM3dbsc6pK5CYnQ1pxZl7SNmmC6QuVlNfaP1RaNSUXP5o2gQRXU90zR1JSil/FiwxWpB\nzphBo6hw0cUeom6T1V28cg1nUkraksq1RR8QFY0KgrjxaRaaDV0dJODQ5VVrixxPUsqH0RbcuwSl\nLDSVkpSW27nybIEAAVCpKoxE4ASQufXNxd/aPWj/7pRGUluwRHNbo5rruisiNSUrHZe0dt0aLcZT\nPIzO48omf1xKa6z7vOhrZEI1W/E2bIGqaumUvysJfEWPrxrthVRJR1RgdPztd9IP44qyAzjbugCb\n0osGYMo2L1hZTxNY1dMLHY/ntFZhWtMkzM1utBqjP9TSKWyA8AAoNTU9MiqfUUpdwEpOQ1cladQZ\nd8p4tX+jurALoGnUDFO/sbYdphaED1WCdJLOBaRB29ioGJ4yZf3WDCI1KqNQyEalmT3sc6DNx6Mo\nRgkV1gXnXFF8RGaLgUqo9wZQzaDd0FR8aH6N2Mia1gqnFrNSBTo6z61vHE3ClLcsUOyKdtg7njo1\nzdPTjBax3mc7P6pypNeihRJPVmU+p6ImCmkypuqg9RuNZG22DL1OyP6MYoba1eiaYlVh0GHWIKhV\nVLnMJozGVE1RSvvY1PF8XzR7SAD54I1q02tq2OoctDVT+tk6R/7a6gMCunPRrrFKjbF+tHuKdu06\nsjNHG9NzTbP+acBVfix0PJ5mUSWrrNQ4O29Zm7Fqu6l86Xy/uB541LpUu8u5qeU1NUC7Xo9jW270\nyCHrvUNX2DQ6VN+H2sNcOw3MzRXt3FC/Trdfgo4jEkpdrWJTpjBYXDBlVdQkaN1DBuaKPOn1PBPy\npdClaib5HQicbV7uRmH3OVSBfFVBBciXBUmVm/LLEmCRHmmAw7kA06HbowZwJg0aS15FqilxamBE\nmwfZnYNGb0+LbRutfD0+mPr1XO2QmDfVq+4K4cEIBAKBQCAQCAQCd4Z4wAgEAoFAIBAIBAJ3hmeH\nIgWAHz/ublRVmuBpFlcSEdJ+D4wj6OJiQWuBKftkUceoOw3EskvgLIFYvPuMCSBWmtLaJdzWJbtR\nYNTdhgpxsVUIrehwIS7j6f1EhcmoXYC4qpXuYm7NhbqTuRmLBsUqoujUFFRUPagpMt2/JzSpMQMQ\nd23dJdSdBp8ZNfjMXtyFdezHK8oKpMcBcRceGDQDwyUjzYw8MYaXBuSpIr8riwrGYQJdXv3/7b1/\nsDZNWhZ23d3znHPe99tdo6u4IQu7KguU2SJAFoVIGSxiKC2qSAyVBJOIpPwniKkSTaokW0kkhCIG\nMUUpiSSgBkk2Yc0PCajx1y4uJuLirnExEQ0sm/VHYE0CfPt973lmpu/80ffdfXdPz/Occ97n/b7d\n772vqnNmprunp2emu+d5nvua6wLfHrMJn4R38fhRDuleX4ELtYhqWJkwDO2RKEkAIrhkKWF76NUa\nDHWKA4FQlRaKmRNM3YkRgWrmNE2FbsExgK+MstVVlLRQqDDp0FELSoeVEKxQpEIAeKWsbjEl0CLt\nOGS6CCm1RBVUhDaSV9Vs6NAqNAHFwLAJ91tYOo7C0GJKiN+oMbHZl7gaYRVDSGbwkqoplFzLMFLK\nsNQOEvrQFKthUsjKIkXJScZjOkg/EUM8phzq3lzjtVLmwpzN8ixlCUsU0ynpm/Y6TbFV4kjyFwzF\nRM8hUOYWQsLYShlirmZJFpZi1VM3igKT0kNgFLhMX+7oV4hC7YmhTe8pJT2lxlIThXLUqL/AUn/a\najP9xVxwO8aUsmWPb5WW+Ar8+JGco21vRz3iBCyqjGb7KW3qLKaLQn/lSSkr2XhLzylFatR87Nyq\nKmN5bIrSjPQbTgE0pcYMq7mHqrpk5zBzjJZWBjG5Q0M1xFxV2YppbOkLXOknZO6jTZP6y75CV+Vl\nAW5vkeYlmyYGKnRcurrKtNuD0IVDrVfngGZsKYVE5q/6lyr1x9K/9Hqpgdy8yDmraewK3N5WOtB8\nBELM6naiDkXXV5kyItThllIbm7lDn5tFDW9A8VMMVYr0XqxrPqdlLc/VVCirQleaJuDRTaYQCZ2S\npogUJhCkDcwACA1NlvKQwQRgRVXwm1L+dfhazOukDYVuag1VxYgzLUulllFWNlNTTiLKz1gKoAkN\nnQs0baiHbOaHWs4YAmr/EOpXUdfTR7aM/0wxkj5yO7fUr3kGv/jxbHYrVCK6uS5mlPzoOtOkpgAO\nMn6n3F4AWFVlil83NC0un5GkPfHleTMPFuq1no8+6zoac1Y1Y4RFFQMTOFI2sHx801JBdWyfRJ4/\n9N5AFT913rOUtmjMY5X+Z++NVe+TZ/OGhv2M4BEMh8PhcDgcDofDcTH4FwyHw+FwOBwOh8NxMTxX\nFKkcSqpqCmSVR4iK6RyredQUkW4yzSVdT5lyMZEoKxGW60y5WK5z6C9FIB2ywg6L0hKEFdGEXTXs\nCRsOV6pGXhbalDFzqVSqVsEADAQtt3DdZ84h6HCbFanCkkDHgygQ3RhFgkwdWB8dkA4R6+N8rulA\nmB8HpAOwPCKsBwIrRSoC6SDnFvKJlPC+UqWWvIxHAi0QQ5qIsADTk2uEJbc33L4RYWWhhgl9okdn\nQAMYmoIoVFFKoONSDQePc6uWA7RhRQ0fWrO8Xp3HhjStuZuEkLU+LlS6gKRh7KI2Fja0ixSFTqAU\nHhT2jJybHrZSs9aUCywvTJV2kCTsu6RKxRMlpEKRY1XWELqcGg6JihNhBi8pUyKMSRXFCHp0A55E\nFapQLSpViTWcb0Pozb3KZUguIaaQlT6YJU3Gn1xr2QjcAAAgAElEQVRvDoObH2vYXSkNReFHqGZF\niSvoGGyVP8q17elRMqbydQPCSgAD600o6WGpofwS2rc0llPoqCBFFWflSg1TlTe9xkCrbhOz+s2Q\nJmVoeljXakCm9YkhVlFo450QvdKKGmqNzI9K+TN9HKvQKqZQ5k+Og3vX016EElfMF9UUSumaPfXJ\nqp81qjOhlhWKH6vp2rzkPswJNGUKCV1f534cWcwBqdKjplCUAVURqdD+Otpi6StLHWfhdsnGok+W\nolZDT45VAUbaHoQew2pYKdQsVTcr40uPJ/2TEfI4tTS8pRp3KS2Hn9xWeuThkOemw1VV5OvNtUKo\n40KpfwCA14kQX6W+8CEiGfWodBULJSpNMkfpHMsoczkdRRVoSQhPRFVHFaGU0qfPXqvsVPqgGMBO\nMdf/use13zf9pKXzFVUwqzak1DSjYNTTxvYU0ArVT+au+pzI81dR7rk+5PN+g2mfUZFicz1ZtrPa\nktBvyPQ7baN2wMRIKVZa9aODPOfrnKLGvDrGGgqqMWQsTVPaoN5roGxvaFAKKZepkmivsVVzDKhK\nY+Z8CpQapc+w65i333BTqXOroRgqzdUcQ8dpoRnHjl6GWj+kX4aVEY4JmFeEec3XbF5AL74Enmek\nFz+e2xYDwuteyLS2Rze5T4kCZOlPeh27+X1DR5e5jaW/ZwWoWNU7VdErtn219kvzXLV0J22C0rao\nK3OiTzfPpmcEj2A4HA6Hw+FwOByOi+H5imDYX+X0m7v+Iqe/lKhHgbyUu17H4geRPTAkghGB5SZ/\nY14lkpEmIF3lb9p5yTld3pnmyCaqweUX7KFeuC4TdVENkggFQEuo0QyJEIQZ8nIdcgQjwXhTyK/e\nbI4BaQ9BvAzyeeRff4F0Jeco51UiF5GRJjkvytv1XKTypBEZyusAaM7nEGaq0ZdZIjDGQyMsef84\n1+2SN0vkY86/JIY1IYS1eI4gcX45W7/Fr/pLMYMXyC9lWRu8iWDpi93ml1/Ir6FFjx+oYgDTlL0u\npin/AiiRoPKrpPzKx0YEQH+ZIPlRJUefTNQE5lcG7QbmVwkmZG1u+bVC+1MuV6MdAOqLtVzvOy1Z\nQICaX2HzNSu/opvuZ6MTxeuCaluaX7YUcj7llymuEZXykrdo2tOaaqRpWcC3R0D8Rkhfzn10k6+1\n/IpEUwTzATwxUqA8iyXpfybiw8j3lEDtmNLLaSIXek3CnKMUQV9ITfU66Yvq5QXB0T0yqC8Wmpfb\nj3N9cVVeBOWXnyCpt4q+rProBgjioaI66aG+WKv9pdwz/aUyyYue+ovlvEhUSn7l33hlbCMGJNr2\ndJBf2SSyq7+6kY1mTDUSSKav1PpNJFBfcpTIhfU/4eMRWNfsJwPkF6an/DJ29XOp2vH5ePL4OuRf\nhwmov/oZ/waOobQ3ya/HED8jfYk7RxCw7+Vg+01/CfUXXfE/oagv7V41fgjWa0M9cHL7zDGD+QVW\n+i9S/kWTUn2RHFPImvYrA/O1RNrWes3LS6qxegUdpiKIkCOB2L7Eaq+B/BqskcAmGm/vM3N5RukL\n/RzyXBwTkOTHV44ilmDFOVbTZsg9k19ybcQSzTUyv+ru4OSLqzKWAbRCB5BbbpNsRLvsL0lBfASu\n2t9p+yM3L/cD5RfqIkpBaF4e1nMsv/xrwxr1BGTxDD2HPhqgv6gzqsCGfc7Yl+r7NI3UqzeNCgko\nE0CfLzYSZj87TSF//uH2nuXoPcozxEbsR+OsOV3dR8ZkEe/o0uwL8uU5mPR6AUE+MxV2x/GqCurM\nbyjeR+AsGMEJVdAEddmLMWiUvpQx8xBNk0SPBmwZmd+Lt0ys3jsswkL6uayIKHTPe4t6P+u1tJFF\nGj2bF49gOBwOh8PhcDgcjk8C+BcMh8PhcDgcDofDcTE8PxSplJB+/sUcogohh2tVW1g00huPgxhz\n2DlSjh6GvARnehMl5HCy6MpzzKybtAhdatEXnFCoRMm++K1hr8iFZgShTXHQ2BYAcKHSAAAxASsA\nJoQlh88LDWpFph4JhSocqfpRJJOfkF9c5UoTAWrb0iLtC8Ca8rnlMH2mSFFCCdkrlYoTlZe9e8oX\nC7shv+QrFCShs+S6cvRVqSpIlF9qFzZF3uaaJ3Sp/PJtDvfFWV5uty9fLlV33b4QXsLAGk60WuxA\nEwbW21DoF/qyHsm9jaKbP4Ua8lbfBauXrSFa1YBfUtUAn/NL+PqCeqHQyDFZqVc3hxx+vjlkmpSh\n7q3XZPobVWpDE2JHaQuA8iJ5oUxpKNnq15c0bvwirL499LyMtnmj39/px+t54eqQ+4J5wbSEtW1I\nWign5UVC9UJRyoFQmpgBJgalfC3CsfbFPmyOcm5CtdM+o/dCNNmxrKDbI3CcC42H9YVb1d3XcLe+\nvCt9onn58SpPtfxI/XFsf+uoCvUWbegWpUzz8r7QIWKm9dE0yYuGKzAt0Bf6eV3zPkpL0a6htJSg\n2uqh0ggtndS+OGtfQu+bZ9P0uqtPj30pnas+fJAwfhi9wNvVpS+gluOo9vuGTkPVM8f6Nuj4mCrN\nr1JXhQJhqIftyQEAlbFTdPU17xSVqh+Ltm/us33McVFe8G1EQnaoleWY1J6TzhN1aZ5Hdl3nDy1j\nrs+ovZV2ofN4ndNJxqgKkhRaVaGv8Kazl2tsroEtV+apXuxCPAnKcl2rwIV4h5RrZud62+/2RBDu\niz0/EqFmc8w+PkVwYMdzgQMqnap7IZ0jFfpVLz6hFKmybq6hekYVcRC9dvOa04Hq8XGcsxCDemwA\n9bPTNIlgRwSmAIhQBjFyPYHAkGUCCHlepnYaavu0TZbPRjpO8gvdtk8qrU8+a2meffG576+ba4Hm\n+VfSlPZn0/S5sdY6KoXd9s/tuCz3zHjGtNTEek4lrwPZ+ks7axsLNV2EXywdqnlGw1yDZwSPYDgc\nDofD4XA4HI6Lwb9gOBwOh8PhcDgcjovh+aFIEYGuroQiRcUHoegR2/BlYhAl8ALQ7QqKQkMQ+ku8\nDeJ1EWooLqKGnzXERXZdQ3oSDlNqUTTh6knTUEPXJVRmTsVSXCRkVyhSRy6KTNNtVl+aXkpZ/3lm\nTC8eEY4rws+9BBxnpJ/9uayfzgnh9a8HXV+B3/C6TMe5mrC87grpKmB5HLAeCGnKdJw0AesV1fB5\nNOdn21nCjKgqVqJ6paFHS8Ox5wcYWkGpFCUE2dDNognL9uF39QuBCWGOwrE2VDjSkTbLXmubB1/V\nm/PSUKaqOEUq1DeSflJ05wHwQSpWetSUvVhYlM3SIZ/zepMVzdbrrNKRfSDkXhQKyA7lI8FcJyqU\nMyQgqIfJXOl1MSnFoSorhePa0LyKYpKlwljYkK+hK+Y8c92V4mLTLTVAw98avp7Z0Nj0vu3TOaDX\n3oaNWfaJAK4P4CuhEDy6gqUlkak7j99Q1HlO6rOrN0eniFLOCZbiYLb7MHxZrx4dDe1OPVFUtYuV\nRpIHAa3m/qCOu+bSmPvEht5R7mGh3ah2fr1HI832U4o/uQCXa5zP21BXVPmkp09Zut0dkJXbGGDK\nNI0V+foH5OtNVOkk5Z9t450OA62Au34ooj/j+aOfY7rj1X4hVJiigmTSBjSjpj2GKmVVoZQiphSo\n8myaatmiKqgUFKVP2eebpXqNzqO0vaZRMwehzDVgVT80z4t+PhIloHhb1d6CzLfhuGbvleJJshaK\nI45zpgmua1ZvA8Ci0JUb9RS/u6pSGxsKbohVFU1U4nCYgBARrg6VLnWYChUxP9Ni9ZkQ746Wfnim\nLR2Vqp8bi19FV9dIEW+DRuFqq7rWfg6oz1yl1g59Um7nSkkVP5miJnh9BcQIPkxIj6/Bh4D18QFp\nygpw66PuOSjKl4U2ZT+nmLE5nDvM3Kvjq/mcUvzKLEUJpf/qvqPPGKNx3nvt2HbU+d98dmp8ziBj\nIF/PcLvm65lS/uyaEjALTbajfld1yGcXZ/AIhsPhcDgcDofD4bgY/AuGw+FwOBwOh8PhuBieK4pU\neOFxWUcQFZQSIjQUADGGyupDCSACPVm2Vu0Ka1qjqi7r2ppgKQ1B1U7UmOY6KwNlCkxEilUZiCdg\nPQjVoqgj1HD25hRNOK143UVgfiGAxLDv+I9MUuZ1UuYfMxXI6RiaVzmeoXYAOUw3PeGW2qEhbg1T\ni0lePHIxtpleyqoU8aUZNK/AvIBevq2qN0CmrB2mbEJzfZWvz9VUaCd8EFWh2FJmNrCGaD11wIYo\no1GTKWH/zmCqoxOU45Jd7tAeBse0sGHTsm6ocUW9RddjLVupeTv1aJK5Dg11LdWlngeh3kNahXK3\nMsIxISyM+CTfQ1oSwstdWFvM8nhZwE9uMxWBE2g6ZIWigyxjLCpFYZJpaG88Wrpa6NLsUqk7StOJ\nhspjVJ2q0ZPSl/Iyha2p0Yb+WO6BVdoxajyhuydGnceq8TT3eG8s6/1q1L3MveNqSEmGUmJNKZtw\nuqap0pqqxjBqWF3pbVZpzc5jyMcr6lCU8nVPShXjbAiY5KQi6rgC9sepcdrSebS0ZV6q0ddxzspZ\nas5o2kWHKZsUHg5FFSub2oVitFeVpagxPtugNyOTP6UBqnFgKVtunJ53KP2t9ElVFDOGlcU40dJL\n66WQvmCoY0YNT58vxcRRTAuLCp29dzo+gph7CRUnXU3AJKagEzXPn2wgS0iRsYrhajpk5US2Zqyq\njtjPRWSMZXfmPvvcABtT2aI+1aokrnOds8Kc1QXjtcxPK2O9DQgrI9xMuX+rmdqSikofqcFnSq0y\nUuJqsppSNqcEWtpTaXiQBaEaPxIQJhBRpkF15pDWmK4aVBrzTFVDE/OzYoxn+1g3Hilpe9n02VQ/\n3xAJ5SoUQ7d6v2UpFOMknzXWK0Pb1nscqd7bAW17dE/tnKUqYmV9UdW+Oi+F+boqf7E550IRA9QU\nU+mn2chY245CEy5GeJxVBWHahCD9be852dCS7DMytzVIH6xtV+oeC5WvUqfK7TOfK1Qxqqh2xvr8\n2HyOMHMAsT0nM8czipGi0s1oXXM/X1bgtqofYllqP1a1wOnZfQ3wCIbD4XA4HA6Hw+G4GPwLhsPh\ncDgcDofD4bgYnh+KFACeZ0OpkBCnpWSEUJV8rIkT0CinDClSZr2amMgyRiCiMafKihGotB+iHBYm\nRphTNq5bs1EeBzY0Hi4Upl0qTn/eRjWkplG7JBOiM2Ht3oBqV7lCFXYKjYMQphziTgdVP2Asj2MO\nj/6CqxwytX8lzLtzDG3CnKqSloSMN3QBUU+gVVQUkobEhYalIe2i6CF0NTXOE0pWOsRGEYiVRtOo\nAikVhltamYY9DTWmqIY1NJp6rasylubzhm4A2r9E5TIZak1epxLqZaN2AQklM5RGxABlgZ2g4dwE\n0JoVxCgB8SYUsz0Na4c5VerGmqkJtKRqnCaUDbLUEmMSB6Em8DznvNVSPHI51jSgMYtrjOJknWLI\nqi2apxQZpSaGAD7ke52usvoTRcJKmULA0zb8vh4MZeAA6R/1Hhb1nUO9bzyxobJxQ29rTCk7Wky+\nISRqUBqupyZ0X9S+1FhzQTainFFpbTOM4k5Oj8cEWnTJCGvKai1MlWqzqPrOktV35gXp5SfgZc73\n8fo6G2zdXGeVnBiy6aBcYzLqZxBaEogy1cSq4VAei4UNMXEug1jH9HooBn2FoqTjHthQlBoaXa9q\nJeUt7UjTejpU6bOWbrQsmaIllBqwodJoX1SVwhARlI4kVJVMlaqqhYVKpW3cU8QqY6Zroxk/VCg9\nlVpSaGBAS8fR6yBjKgD5eRMSwprLxWMoc1m6UqougQMLLYoaZak0oZyHnQdLf++opWVdr11HZ7V0\nFSYAEUgy+VEC0pT77HJtqVTcLldGmK+AJP09ZaqnzlXhmOlQNGd6GaUEmsXwdFnyveXUUqhG95oy\nHYoM/awxpQyhff7b+z1QWuuNNzdGpbZfaF1KXTR9jqPQBJVmPOV2rNeZErdeBfBU57kUUSlSEWXu\nq4pi7fOqPI+orrfts/ezUpV6taVmnkt139bQclTn4EmoSfoRbjnxtOz6Wt+OQjFdKsUr3qY8pz5Z\nsxrWvCI8mUG3C+ilJ8A8g+cZ/PGXct2PHgFXB9DhAH7hkShhHbLq4ERYbqJQEsOGdqjUtGQV2nQM\nWCpXivLZ6xrFCFCVOg1tK5jPWpluKXn/YP8SPQ08guFwOBwOh8PhcDguBv+C4XA4HA6Hw+FwOC6G\n54cilRLSz/4cipqDqoxMk6hrRNCESokqyh8xUyrU9MaE/dMUhM4SigpIVZehRommmhNVNQagUo96\ns5WigiCooUJRC2AItUjDYK2BDRKK0kijRiF1Z5PArMiUVEXiKmQjvatKD1mvAIRsWlPCpmJckyzN\np1NYyo3WMG9NLCo4JhTZq01YZaPGmM8qUFjTJWM6Uwx8EmcqVeKtMo5cx0rT2IasVelF62LKqiWN\n2gvk/E34Uu99Ma8qBopG5SJWFQlrjFeUJUyI1KpYqYrUMBQN1HCv9pVU14u6lzEE6g2Dgs0z++ot\nzBQpBocg9THSQfrfGlEMDlWlyNDeivnbkqpK0MqiHpYKxaMoF1m6h9KhjHHf5vRlHJFSDkKoqiyW\nlmJUe3pKSm8GV4zJTB+vY6DSQ5QykGlTQDpwVfyahDY3scwBhhYVZJ3a8VkOKqcMVWQSVR0oXarQ\nouQ+LjlfVU4oEWgRulShUjHCHGX8hM2YCnM17guL0g/lHidDKxqZ3OnYMGNiT6ENwEnjOXMJCjaX\nqadJ9P2fTV5DyRCVGlWZ03I6FuT8qpmd6XdKfzVzqqWusL02tUlbjKhQe/Qomxf26zxBBGn7djNH\nU703kPObU+6WcypjhV+WexaonePKvGTU1kofMFO/Vd/rqFKN8SSAhnKDdl3zGxT6aR6XAAodp6WR\ndPOcPkMlr86NlU5S73vtI7n+7dW2fbhdx9iYTs+Ftvvb69Sk9fVie417anNDbSrzktzHEfVpqs+b\nFGUui3LqAWCZt6x5Kwf7YUUvSLkwG3UmpM68Tmi4zbOeq2IT6TynKnkrGiPGsNZ7WMZyMm3Qa2Y/\nd1G9HqNrp+U4EpbJnNjr9YKf+fhs7k9vStmockVNQ+3LHV29vc/dcXh8jRvFQfuMKM/o+jkA7zt9\nKg+FRzAcDofD4XA4HA7HxeBfMBwOh8PhcDgcDsfF8PxQpEJAfNMvRVHuUEWNGKuqzCQGd1EUH4yp\nC09UaS5FTQhQEzw156qqQmjDxJZKsxcJ78P1htISNmFDRhSzGAiVKIgZWlHxOS5VUUlDukHOURQl\n1qlSwtKUz2W9knOagOVGDP+uRSUnAumaCxWEY6Z98IEz5WNiUMiND5MsxSGGDB3ERi6ZRUWGKa8D\n4FXWV8oUEV0i0z2QhPaRAEqhhgGXGnqt4UAYKgiEWsJNWmNQtjLCkv9Il4kRblfQrSiPqJnNk2Om\n+dwes+JIWsv1pMMBmCbwzVVR8kg3B2OqmM231NBqVcUOpeDYcLUN73ZUCttfbGjYUp6KyZEu2ayv\nGlLuqCPmRp1U60BXptCyDFUkhkw7QRBFIMr9hUNRSOFebUr7LVFVlQIAVlrVVsGHgTKmrYoUad8P\nIZ986gZhoaDUdGIGI4eeuYT2870IS1Z2g/gWlXuzApRUPYeRVqGYHJX+xpv7WSXRuuvKVLNtyJ+F\n7gR0lDcqc4gq71AW/MoqQTHvy1POXw1d0ZpRDdV8OjQUD5s2oLYMjShHlJiuvpPz5KB9DTWQK7Wl\nMSvUa6XqKWaetZSZQhFr0rimpapEVWiAaoLHqOZ/hnKFZnxI+0ZmfeU8TZoZS01dsl0V+Ex9fZqM\nJx4dC3n8yEpexli3jYllUeqy5fvx09XVKHlZ5aRo6hN1sWqKqQqLEEovGgW/JCaOycyRjWmZoZvk\nZWj7XtdP24sxvERjjC/nwzA4bkMVpC5tb7wB7XkOKE097dYagFqVu+G4BvYnBvMsakwU7RgcPK/1\n2RyP5jl8FOW722z4mo1eU2PaG+aE8FJWuqOXnmQlwmUBf/wl8JpAVwfQ1RUwTSBRceLH1+BDxHoz\nFZr4+ihmivg1yWcdKp971NRPzSYttZkDZ+VAQqXEBgCRM3VM5n1QTqOQPyuRXF8KWQ2PgswZhJyH\nOoyaS8yDz0yyzSl/TmIGsAifcqU8v9vrPVdTyzDfp7PfDx7BcDgcDofD4XA4HBeDf8FwOBwOh8Ph\ncDgcF8PzQ5E6RLz82W+qxnYaai0h1RpqtQo/SlFhmxbN0tKhQg2ZbUKPEnLchBfPRac2dAkb/xyU\ns3U2oVNuwqRc1CGUOsXAtOZw3ZQQAoNCwiTrV9OCGBhTXHEdV8SQcB0XXIUVU1jL8lGcEYkx0Yrr\nsCAQ40ArIiUE5HUAiFaiyGAV3sgsEjMzRyQm3KYJKwKWFHGbJiQmvLwesHDAkgKerAesKeDl5YCV\nCWsKuJ0nLClgniPSGpCYkI4x067mINQyQjhSXoopGa0BQcK0mhZWVKWqRUO8LOoVLd2i3I8SjtZ7\nYJQqOkWxXeMie1uV+qRqJobuoRQocFXXyu2V9WNCWFOmea0MLAnhds6Gase85NtsrIZ1BS9iThhC\nMa7D4QoIQv1SgzA1dbImUtHQKWCoMX3XJsqnGAEG5divqrgZta8N1UPT7SXq6RqBMu2xKEZV+mND\nxYiEFC39oqU/gsx1lnvNCcI7yiZGjUpcqPexKOtIH7Dt3DPHHNGTGjUQNuuW8pYqpael/5m+IJQe\na7ZUKJmD4chF6aSlqYAqTTSp4aSojIGqAlqdEyt1tJqw2evULoc0kE3jzPWy1K6yNCaFVhWtXDtG\nECUuq0ITCmWDMy1O/Ry5MwVdUlXpW1Jj1lbM+VLKlD+lJqlpm1FDK+ipRQDUDNbS9vbAxdzVjBug\nGlXKOlu6VNmZ5Xp3x9GxCFT61OjYHQULQDbCVCNCbQMFkNCSKUYgRoRpqnRGVXY8THleOWSzU4SQ\nzTBjAF+p+V82icsKh6H0J1KDsoOhSgFlfGr/bJ/XaPuhVfABuue2OXG73j2L6zgeKCgBrYJiv+xo\nfaHLtzRqad62Hd3tailhOj+Px15DxTXKXz1Vq3lG9WN2gLFRXl3X677eaBkCPUJVndJ9Utxch37e\n3LSpPItbCl1RbjJ/SYxSGzXHQ8ppQglHZGBKIKE8xZgQo35eSojEOEz5c9IhJMSQ8mehsGIKCRMl\nBMppU8ifjQIxgnwuigP62cqExPI5BoQlyToHHFP+nDSniDXlz0THNWJNhHmNSCkgJcIy53LrHMBr\nyNTzxSlSDofD4XA4HA6H45MA/gXD4XA4HA6Hw+FwXAzPDUUqTYT/97OvaxjMmMW15mbcGM1wVKOs\nJOFDowogplkUcx4R55AZAAqpqAHoMgRVBsgKAgQgyLqm10h5TtP8oGUkDQCiqA4EYkwaWpNQXBCa\nkg3BTWHFQcJymb6UcB0WHKTcTZgRkJc5LeGGZhxowU2YEcF5nWZESjjQiivkcleQECByeDCXzedy\nkHsQJcx+6lutBu5XCbXPsj0zsIKwMmFGDg0eEZA4YAXhCR+wcsATPiAhlPWZI56kA1YEzBxxm2pa\nYpK0CQtH3K4TZg4l5LikgKPQsdaU05gJs4Qm1xQwp6zgsKRQ1BxSskuAUxADLhKGhFF64EzTaJZA\nVQRaqaPFiBpHocDkckUdgltzomJEODIn0vVCD+FKB1JFHFWEMiH5si3YUCvM5qm8IbaR4c3xTpYf\n1D8yp7LGV4UKZddZrgFTpqRRptFYGoUqx+XChkZgj9Nv9+1srmndbsziVPUr2fujNJ/a1myMh2w2\nKWlqNhlmoa+sDJrXfD1FsWtDPwMyhULMCXkS1b1DLDQzVddLhZ5CSFeVKlXnWQIHbmkpSkuN5nrF\n7bWjnoaxhx16BGsdIhzGAYVOwURIEGW7kEXFKOU+kcdHpuFQYpAYTNIK8JKvVZgDipmkpUqJIhpm\nubZGFa0xkRSzyaLq1FOmgFbRrFd4MvSlXrFprw7c4VICGLflBMgeo6MqFrUpQ12EoS4mMbAt1MWg\nNEYU6iICZWOy0p+o6UfV8JXK87ylLRtazGA8kkxtxChj357K7lWztCUtqdSnVNeL0puawRm6ZTsf\ni4HsUYxKFy7qkGUcH9eiDFkoeWtWU2r6lr0fG7PRAEwx3wNRzkQI2ThYFTPl3hVDPkuXNLRIpf42\nprtqqkg6R9a8ljZsKFiWkmbn0QHVvF1SUzf3Kn3U1oWQDK1dKE9kPtMR5HNdpj4VCpR8ngtChyL9\nXBUSAgFTXIUCVelQkdJZOlQkhnw6KJ/rQpn8M5JcmAACKCHJ56CAiARC4lz/whGBGCsFHCIhECMx\nIQbGmggpBYTAmSpFEYkTOBHS/OziDB7BcDgcDofD4XA4HBeDf8FwOBwOh8PhcDgcF8PzQ5GKwIuf\nxsXsKofsGTxx/ZolNCiKXIxQKDICWsqTUp16ypOiD6iWCL7EZRtjFFnP6YA1UGn2KZV1sV1zTDKG\ndtpOXRbaVMwhvEn+DnEtobyrsGAKCTdFCSpTqKawFipV+TPbEakoRel2oIQIFvUoVUbIaT00Pw2+\n767maq7c5tvyfR4AHGjBgRY8DrebPItRm+4L204Naa7SvpWp0LZWoXetht6VlbIyhWvlgARRg0Ao\nillK4Uog3K4TFlGTOCZRyhJKV6ZtyXKJWKV/LUtESoS0CpUrAWmR+POSKVtIxpBnpWrelqR/rRAV\nIqpUHWv0pqonlhJQ6AKGGtDRfJo0MTWr6kgsx+CqhMTIKj5CSyFGNj5Uqo81lxwpUCksbcMqYIni\nlKalKQiNJ0j4XtSmCnWgoxGoclRHFdByQ3UTS6nqoBQvqzoG5Gu2llJ2x3i2v+5R1zYmXXbdtrdR\nl1Hajk3DJq3U39NU+mOXRjZT3ElYFZlerSZTouQwJF6JnGkevTJPMQXTfqsGYVp3suVqvwVXA0sA\nlc62ojGgVMO+Uk6M+IopJbflc5qZ53mbZtW2MRMAACAASURBVK/X+Qu1l14zWrWg7t5as0TdtvdP\n6FKsy+Z+d3QWo2RkVdaGtJhS7yivnltffqN2pPekOYcz16inMWoamzRLl1J6YllHOy/q/NbMm5Xu\nWK5ryNcjBc40NAb4EIRKa1Tg1lT6FdT8caC4NwRnKhaIEee1HlvRqd+VOQyo97ox0LT3vfadtp+Y\n9diW7/tLVeHr+krfT0bULFUNi7a+OkdvVMR025okx2qcxwSsATgKNZ5l2awrzYo4m+pJ2jlTvbrk\nkp6X23vHpsNWX83+MyUKNZvFRJUTFSM+FFPWrKD5rOARDIfD4XA4HA6Hw3Ex+BcMh8PhcDgcDofD\ncTE8NxQpBGB5w1rDV6FdaigLQAlnARJWAiTOJpAwlIaYNASlqj8l7JQAJEJY6lJpImEm0ApENW1b\ngXDMJljxVrZXzooSKxBvU1aUWBhB1ErCkjaKHzwFqHpHugpIE2XFlwlIkbBeZ0WOJ1c5FJiuRHkj\nAukqhwHTlYYKRVErAGniGo6euCovUB8aRIkjj0RNSrS2SPigXMdmXfIo9eW6/XuQbQe27VT6m6hD\nqElOCIxpykoQMSRcTdkQ53paMFGmlT2ejphCwqM4Y6KEQ1jxQrzFgQyFLCx4HI6ISEWN64VwFPrY\nggNaKlkEVzoZqloYsKVuKQ0rybmvIKygQrVS2tWRIxJCUdZaQXiSDph5yipbQsd6IopaL6UrLCmI\nwlY2M3x5PeCYIp6sh0y94oCX52xieFwillWMfeZMvVqXmMfKSsCSDXxooWpmOOf1OgaysSE4L4PS\nr2aI6hGKAVpjFqfqScVMMDVqSdloLoFTHi9IqVIGTlGlFCn/I2TJISZVkSJwytukFAyhMVTqh4T7\nY6dQBdsfzbEsvUPLlO5tyw3C5CdoHSOKS0/HIlW+orq/Gh8yAZK9b5zFUp9SekhC8dJcbb56vPVz\nwW69/Wn1p85dOvfpvFtuf58zdXftUOoGMQ+pq7msmbf6OnbqzXkjOlRbZO+atGXuwpe6O4Zmmefu\n6V7+Hh2r30fvGaFQyNq+3bWtGQM8SNseY5ea+BDWCG/XN/dQHnOI+XNFpcZRfpQzspmupVkBlZKX\nLD1PKFJKmRLqVd2XCz21UKq0Tp0Xi7IZlzmyKFJ16xvK6UgFTY0kga0amU4GAIqJpKI3mjQmk1So\nrJoWGlprprbmzz0jw1cOodDNeFIFs2oeWuhTvWIWkSiKWhUyY7gshq0NDaunW5VnxCC/TzN9MTWf\nYWp6u9199msfLfpxtsksuxR1SAznj0vBIxgOh8PhcDgcDofjYvAvGA6Hw+FwOBwOh+NieH4oUsTA\ndWroUOXNfhNyatkFNXbUvLkv1WW1J8sHEGoEc6ZGpMwhSBMBzEiqzKPqO0VJp9JGKFFV5mEqhjyU\nYgmHaoi0URwZhblsCLlQNszShtwI2ZiNjKEYqObvxIw3FAQNvY1UhYqpm6HKFDoMI84s5nBcKWHH\nFbQkhNslGwstK+j2CCwr+KWXwcsCzHNexojw+DEwTaCrA/jRNXCYkG6uwIcAngLWRxPSIWC9oUwf\ni4TlhpAmYL3OIdE1Aj9/k69RumYxYMzrPDH4wFlxLDLiVUKIK66u1qzOFVc8Oiw4xBWPphlXYRVq\n1YrrsOKFKVOqHsdjUeF6HI5F7SpSa2Z4Q3OhUampodKpsplh7kwjJaxW2Yo2lKqZp2b5JF2V/Cd8\nwJGnYky4gvDSeo0EwkvrFWaOhUo1cyhqVkuKeHk5YOGA22XCytQoWqma1ZoI8xqrmpVVt0gQ48BK\nscp9pZoMBi1nFKhaEzoY1R4UNR+r/tPk90sJ74/zeZOe+7zss+rY4DpORS0oqOKLltcx3CvD8IDO\n0FAVzDawT0vYUA+oKtSo4RkAKJ0g1rC/0sCsyRaAjXrWhv6lYX9Zz/t08XuLDQWondPKfNdd03p/\n9Dpxez+4u77leGzmrZ7G0bVtNO2dU1wCtqpLO/UNqUc7uKvZ5KZc69u1Oeddpa67mlueOnaPO5j4\njdqzS6kL9l50VClLD9TtHUWjRgGL0PZtqXPzHD3Rt+9KAQS68+37Obr+36iNQWhMda4azSnQugzl\naog9Cump8s12R49SSpTS22z5tNztGCErIRWjyTKfhXZuG1CqSClVA7XA0jfiiTJAUblSepZV97KK\nWqUe24dUIcuobZXPX3vzZ0OZomYetUpq5Rj957qNypvu/wx5UCfgEQyHw+FwOBwOh8NxMfgXDIfD\n4XA4HA6Hw3ExPDcUKQqMN/yij2fDuZAQQ1YLilRN6A5xRUBO17Qg9JRJ0gBImqj/mDQAjQpQoD42\nXZE4dNs5lpUktrXqtpRLTCUvMZm/UPaz6Szlm21dB7CmYNIzBWxVYxbOMeMsFBFkqWnG0KWoZxkl\nLauoVdQwTFqyJla1nCpnqHrNrtKLzSs312T1Ye18c2peYFnW7ZzG+2pTxKAAxJAbHWPuQyFw7hch\n4RATiDhTnGJWoAKAhQOOKWIRdaaFAwIYH4/XCGBMIdOkAjFuwpz7n6hMhaI2xWY9deaFXIwNFefp\nUtUIcM8EcGT+l0DF0DAiIRHhOi4IorA2UcASclsWjjiENZv8ccA8ZYrUvEasiZBSwJICUsq0KTUG\nSmIGxEvud9YUqCizMSEsXNKyegoMRYoa+mFJZ5Nu+mClUxkKlfTZDf2KOffXDb2KM4WLpQ9pX1dK\nA1FLKSj7sii4aB1CjVK1FqP0olSIrPpi1F1g9tX8Zny0oXoyNAECclhfKQBKCVD1ldzJmv1h1FOG\ndKGRUZdFR1cC0FKWLE0k1WvTUMMsbSyJml65TubayDovS6VtrAngBF4TsK5AknVOYEPhoZCpFxRD\nvj6iZENEQIyGThFatRsg5+u1GNDUNtdJTz+0aTSiFO2ZqPU0uQ19Lm324X6fkjF4dp2izwzbmYb5\nbNvTta0oEtl7Yak3cr313iAQKMb23gS5P2TuH5m0RmmoUx8CquqQUgjLOjZ9v6HCFLqVoVINqFdl\nXXEPOtX22VfN6MAyfhPnuU7SKlUwGApze9/Jzi9mbHFRk9qZe9jMVX2e3lMZn8Sm/52jUO0hcb6e\nnLLLKAW5KCmnJ0MTKtdoR7FqAOr23ZTs67Y0LLvUuUHTRNmz5huKl+1nhXpV+x0gH6ViaPtdr2I4\n6HeN4aGmm89HzxoewXA4HA6Hw+FwOBwXg3/BcDgcDofD4XA4HBfDc0ORiiHhbW/8GQRiTJTN0gIx\nrsNSaCrXYUGkhGtacAgLIhjXYS6maQGZEqUKPwfKZW5oFnWfZBR/MqUqgoX2woW6ElCiquUbXrRt\nPaMsskoocTVpCcDKlX2wggrNahbqCwAcxYxNjdkqBaYatB2FHmPz1aAtqw7l/CfpUGgzt2nKxmuF\nWpMpQQmE23UqdK2jrC9C0Vo5U2WYc5rStzKFK1O0lNoFZPpWSoamJctC39ILoulAE1ZmHl/byu7g\nJsEqjCl1bGXGStlwbRZVMiKhUpn1Qp8LSSKmmVqneUqn6yl5Wi6YMkrVA9CmW0reCXkXS68raR3N\nbuHaT9YUyn1Set2qS0lbExWqXRLaEzOQVqHfrfmeQA34DN0JjKIUlRXVMu0oGpW1qiJV6U5FmWyR\npRr0FYMpVMO9osbGHc0J2FWCGqiyjZiOPPppxlL1giqAUJN3ihqxq0g0yt857jncR91mc5hTDAZ7\nvfpyPQ3KlN+a3BmKVKp5zX1hNJSqMmRXHpZvVKRGClK2fOraymKmV/IhKoJbalKrkmPOpyt3lsqk\n10upJ31en26oTw3lSalFlmqUbJlU9u/3Y0thsedgjNCoU/QhS/8w640CkN1P6zOKQMHSzGw9A4Wf\nDe1kRwko3UUJSKlP2k5gn4YCwCpPWWpgb4pWjqfr91BXe+hY3Ten5G1aGpQxY7IfK6rWVta53adR\nrypleDPGWkqklLU0LDPeNiapqdvuaVpaR28KCKFrAZkaCWRKV84AEiNpWTsu7PgpF7nr8zG2FL3M\nqW7KFWpl10c56n5GCavQplZA9mVKLW2qo+a1/Y9aJbu+v9ln1TOkSnkEw+FwOBwOh8PhcFwM/gXD\n4XA4HA6Hw+FwXAzPDUUqAHj94RYTZZWbRzFTn67DgkOhSM2FFqWKPTcdReqK1g01ytKhDmKEdpAI\nVQRwkLDUgTIRKoIQEBApL3P7apwq9qoHO1glZJfASBKTX7muz5ywgpGwZloPgFkimEdRBnoiJmrV\nXC3iQBEzTzhyVv4BAWCUcmq+NjJce7IesuEai+FaCniyTEJ7IhyXCSkR5jlmSk0ipDlk6swSqrHa\nTGLIlyk0Ya50GTXpC3Olz4SZWwO/lfM6A2GpBmZFfUiNzUzIN4OasHcOwefkNOX1FIX+QtmgjyVP\nDXLUmI+l3BJlOwBs1tVUhyMyBSt26YSqekWaxxLeR1W+Amosu1GJ4DbsvhcKHVBXVAGs2Zb8ogqW\nOx+KqpJRYCIGgjG1U8pTq/aEhu5UqVH9PbNp9f7W+845b83rNCcxcExAyoaNNGe1IMxLVhlKCTjO\nOWSuCkPrCtbQea9IEyJoink9BiDGrOox5dA4RwLHCEQCT6FQN9Ih1D4TW9O62p9QwtscUYzs7H1v\nlM9KGrVptp+gTauGmd266RcNvWPQXx4SSh/SqjpaVFOuK7+lUG33b6humt5RQEaGiJYeR7Y/93Wa\n/GKm2NC37LLNr8e3846hlZj9GrPA5liVLlKpfYaWIjQPe/xGcWtDzTJ0lUJl6S78HQzxCnrKk1ky\nGdqqoSVp3jgdLWXJ0j/MPveiLQ0oSxuzPDsOmvFC47HTlW/OaTCmTo45k7ZZ78vtlLkXBrd3j1pl\n18/RHIeUx0HeeL03yuzqsWOa27q3bTE0rA3tcds2i7NmkSewR3k7acbYmEVqGWq3u/rO1b1p16sU\nSvAIhsPhcDgcDofD4bgY/AuGw+FwOBwOh8PhuBieG4rUyoSPvPgLM5VJjPMmSriKS1HvuY5Ls1Rz\nsymIyRklBHBZP9BaDNGi0KSuaClUKlX9uaJVFKiSUZLqtqUOAIiNPtRpwz5AjdPUPI1kGYyhGhWl\nqGZdjdRk37soRs0pYub8d0wTViYsKRYVKVUlSkzFkPBQVJICgAUpBYTARXlojUZ1yBitgYF1zUpD\naFSFKiVHTdJCMWPTEKoxQxuYqzXqQYMw7C5GoXBLRYGhOQ0oK0VUSA5Fq6xTbm+lZnFHDZC6QK1x\noNCgevWSus01fbSEUK3uATbUq6yikZV2amTZXMeyzOWGNJYmjWqaDaMD5uKgMZKqafZYA9qNOc2T\nxo17aK7ZIH1Di+DxfbG0CZMHyH03y3Y/bo9F5l407TFpe9Q5SBR+o5rW9RctZ/YbXI4HYXPZzUXl\nwf3hzT2ntqzNt2n9tq239EFTzpTdzBHpRJ7ezG5uoTvV1/V5oJ2n0NU3HDvtfpt82HTututxd2lq\ng7wGD2eWyIEelr+hD52jFw3qOUkzOTfuz+XdYf9T88m99sW4zLDcna7LTt0n9rlnAXOw80V2H1Wj\n9EHaScrmfY97apyM6t17/pzKG6yP6KRDiimfGOeDueJZwCMYDofD4XA4HA6H42J4fiIYa8BP/t1f\nDJJfhilw/lEvpOJdEGNeDyG7BgTi4mEQQyr+BOphoP4FkaqPgb5EPumv9lA/g4RDKZf9NAIYU8jR\nioi8DwAcSNIkYmKXgEY7qi9Cu169Euy21qcI2EZFApK0czl5LZP5Xrqat4c0ElK8FMq2LUMlOlLq\n4yBRFSp16vqcYqlL601MZVvrzn4cNXpyKq1GWqgcX9O1/iS+GtY/wnpxbNLKuVCT35ZHs92Xs/VY\nv47eu6OV1t/+QrTn9dHve1+csWepv36fSOvrsPnNuikTBmVs2SLH36SNynFT98hLhAZp1otkr9y5\n8tbDZFOuu0btfts6LOLgmp/yQ7kU0uCXyXXQ7+zYbzxYmvG/HQd2bNrye2XZjO9ROWbapmE0Rmk4\nXpt8bMewevLU8nXf8r40n/fqYY2k2PxTkZmSfiYyY9P3ooRdfcPoyKb+vTpOHGPvmGjr3PySOyjf\n11fSTmxvojhAfZEeOP9L9F45nPnF/0zEYuNRQF1ZatfHL5mP85hMe/t6uv02Edid+svpb/J52Laz\nkfWyj+0M3bJHfxNG5e4RRNngLhGPvZu+6W80TN9ETDVtMCZzPTUfaMfkONpp6u3EJzbj7MLwCIbD\n4XA4HA6Hw+G4GPwLhsPhcDgcDofD4bgYnhuKFC2Em799U8N0GuYTnwEmYA5ow3+E4j3Aod0nc6jQ\nehEAQMmTJXFLy5K0QDk2pfSsQs3SJTI9guQvBi7bgTK9SylVRJwpWaj55U/oU0q10H0mS7cylA6l\ncAEoNC4tB4ypVyPah0Uc0LF6rIPvuiPKRE/Dao5DjBwD1LegIfHDUdr2GHZb6VENXUr+VrOtFIiU\nWgoXMyElKnSJskz5inKq4VJOuQPaNKjXxIAiQandbl4eRRv+PPfC8+YqngqXdoV5lLcTBi9pgxfU\nRy85Ny8oh75sHUfQ8RNq+dHY0nEUpH4SqiOQx1veD3V8mXEWTJrWH5D/bM9uxsFg3PSUqLtSoUY0\nqP44FiP6kkVPZTpHYxpTl2i7L7Y0pH489Xk9TVApSJt9m3WgpxDa/faoSvtpKB20pMGmmYtlj93R\ngTZ0pkGZhuZk0wd51I3rWoaG4/kknQJ9Ptp8s3+ZX3oPER7UZ9Ia2kXq8mwdiTf72PLVT6ctR5JW\ny8n6CrQ+I+KJ0xyPAfXJSVz9RlISEZCE4h2i66ssmbPXiHqKJDbrqesgBsWzI6D4fARdileO5sk6\nE2UvnRCAmMsyATzlcnkfZH+RqN45VPyadKkeOyyfYThQIz5S9rWCJOrVVDxGqPFlsvX1aU0d6ilS\nynOznZd6beyzIV9HLpzXwXOipEsaU/dcss8PLW8HVbfEoMzgFo5wkm7cj2tdjMa+GZd23unzcjOp\nTRvNB4PPAc342yv3DOARDIfD4XA4HA6Hw3Ex+BcMh8PhcDgcDofDcTE8NxSpMANv/LF1E9LTkCKg\nocEuRKfhSONlUMORo3Bg3c+GDW39um7LgYBVwoHDfZswZKvu0IQRlbaFuu9GF9+sNxr3lCkiej2s\nTj4BRiOfS36rAqTLNnY4Uhc6h61yUktX6Ld3FVo6SkOhISkFya6bcqRp6qkh68QArVreUABWXaey\nXpZpW676dSCH81NXXsL+Wo4YCEuOoYZFw/xAWIUOIH9gRlhSpgDMKVMDUgItCVgTaF5qaH9ZgXUF\nLwuwJlmu4DWn55sXgECgGEHTBMQITBMoSmj/6pBD6Ycpb8cAjjGH+acgYX+AD7GE+jVcz1Oo4fqI\nHNqPkmdC+JUKMAjla11mPJX1iGa8MQGLHMeG7ssY1C5Q0riZL4Yhew3Xo24XmLG0Cdc35dDiPuNl\npGDCg/Vz1B1Nu2covqXm6diS7VG5sk6DNLMOW6+2aVyGurTQnEd/XtzmdddplDaiDT4L5ZXRrWwP\n+pT5d2/Jw4rc5TrxTl5fTueFpjyjDlSU9bP38dRxAexxXZ52GPb8Gh6MeabBdlnvqEJ764Pttkz7\nGWWzb1dP81mn36/L32/DaQ8gAgpliOS26rO5qHuV8rSpn0DtDSr5tEkbqlLtbXd4qmF+ZoxQP/cO\nl2TKm7y+n5vPL5s5GoP9XEXK4XA4HA6Hw+FwfLLBv2A4HA6Hw+FwOByOi+G5oUhRYjz66dsacYpU\nQodlGYV2E6gLH1YKh83nULcbitRumqmzoU1ReyxbrqFstMfPJ9aFOhsqF7fHhTmu7j9Q9SnHbOrv\nwpaWGmLTm4v+AIrIhl6FMR4S12Oq9cW6P/ch8oZqZRbclkFXZjd/UOZkeLRJs2FPc1Oaugb7dW04\nRRk4mXYp7N7HrglDqkHXsKYMb/cZ1rHftLPUlNEOTdc/cZ2B8X3tyw/vt8nrh82ITtTQgk4pi6HN\n26UxoaEGNulGzacv1yoCcT0+2/zUUgeT0ASl3pLGAC1cVYKEBliPX6mBWLlQAnNbONMAlSao6j8p\nUwjzMqsA8ZoATqIclPN5rftyUQ9SvpZMnIFAogqEGGWdoNRChFjLxIhdNSFNV+ohyfMpINcNFIUh\nVRZCIPPs0GcWNUo+JR/t8610NfPc0Q5WKbomzT6PYI6HPh1N3dxRVho6Ddrtvo5tOg3L9cdolsPy\n2Ja/Q/4w/Vx+n37XevfK3Klt7STDZ565J+fPwWPqXLlxnYOJcWfeHV4voVG1lJ67Tdx0x3Ljxpyo\n9+xc3x53/zkt+aN6GkrVOE/n++ExhlSqnfqeATyC4XA4HA6Hw+FwOC4G/4LhcDgcDofD4XA4Lobn\nhiLFkfDSm67zRgnVUhv61RBpoQ1Rk7cpOwgdF1WqJk0aMVKE2qnnLioPrSlZV75PB3BSFceUb+hP\n9ivoplxHgRqoUgEYKlM10VXidl9Js6pUe2pVmq67hqYcN8ucj0FaGyPcyxsFWkfGgqO0c0pao31e\nbYzMDHv0al/n9h+ljc68L9cfx+Zv87bpdr3Zd3CMdr9xXp9u09CXbdLaA6eObgVW9bOOm3DXNFkW\nCt4gNN7Tp7ZUq0H+pv5tvQ01y9RV87r9d8L/IyrARlmqq69P26cT8HYf9GW2af36XSiHu0P6jkP9\nUlPCvSmApQHP4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C4G/4LhcDgcDofD4XA4Lgb/guFwOBwOh8PhcDguBv+C4XA4HA6Hw+Fw\nOC4G/4LhcDgcDofD4XA4Lob/H30ohkEZKYNzAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "wavelet_width_list = [0.5, 1.0, 2.0]\n", - "scalograms_list = []\n", - "for wavelet_width in wavelet_width_list:\n", - " tf.reset_default_graph()\n", - " cwt = ComplexMorletCWT(wavelet_width, fs, lower_freq, upper_freq, n_scales, border_crop=0, stride=1)\n", - " scalogram = cwt(prepared_signal)\n", - " with tf.Session() as sess:\n", - " sess.run(tf.global_variables_initializer()) \n", - " np_scalogram = sess.run(scalogram)\n", - " scalogram_real = np_scalogram[0, :, :, 0]\n", - " scalogram_imag = np_scalogram[0, :, :, 1]\n", - " scalogram_magn = np.sqrt(scalogram_real ** 2 + scalogram_imag ** 2)\n", - " scalograms_list.append(scalogram_magn)\n", - "\n", - "# useful for y-axis specs\n", - "freq_pos = np.linspace(0, 1, n_scales)\n", - "freq_val = cwt.frequencies[::-1]\n", - "idx_useful = [0, n_scales-1]\n", - "chosen_freq_val = freq_val[idx_useful]\n", - "chosen_freq_pos = freq_pos[idx_useful]\n", - "\n", - "fig, axes = plt.subplots(4, 1, figsize=(10, 7), dpi=80, sharex=True)\n", - "axes[0].plot(demo_signal, linewidth=0.8)\n", - "axes[0].set_title(\"Demo signal\")\n", - "\n", - "axes[1].imshow(\n", - " scalograms_list[0].T, interpolation=\"none\", aspect=\"auto\", \n", - " extent=[0, scalograms_list[0].shape[0], 0, 1])\n", - "axes[1].set_yticks(chosen_freq_pos)\n", - "axes[1].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\n", - "axes[1].set_title(r\"Magnitude of scalogram with $\\beta$ = %1.1f\" % wavelet_width_list[0])\n", - "\n", - "axes[2].imshow(\n", - " scalograms_list[1].T, interpolation=\"none\", aspect=\"auto\", \n", - " extent=[0, scalograms_list[1].shape[0], 0, 1])\n", - "axes[2].set_yticks(chosen_freq_pos)\n", - "axes[2].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\n", - "axes[2].set_title(r\"Magnitude of scalogram with $\\beta$ = %1.1f\" % wavelet_width_list[1])\n", - "\n", - "axes[3].imshow(\n", - " scalograms_list[2].T, interpolation=\"none\", aspect=\"auto\", \n", - " extent=[0, scalograms_list[2].shape[0], 0, 1])\n", - "axes[3].set_yticks(chosen_freq_pos)\n", - "axes[3].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\n", - "axes[3].set_title(r\"Magnitude of scalogram with $\\beta$ = %1.1f\" % wavelet_width_list[2])\n", - "\n", - "axes[3].set_xlabel(\"Time [samples]\")\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The trade-off is better observed with the following synthetic signal that is based on a 13 Hz oscillation." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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22q7BiJmmdrxQaVK43byuotl0snGL5/kUqcaC8GazU43HpUi1XeTdPEXq4ESR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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "n_samples = 1000\n", - "central_freq = 13 # Hz\n", - "time_axis = np.arange(n_samples) / fs\n", - "oscill = np.cos(2 * np.pi * central_freq * time_axis)\n", - "window = np.exp(- (time_axis - np.mean(time_axis)) ** 2 / 0.1)\n", - "synt_signal = oscill * window \n", - "\n", - "prepared_synt_signal = synt_signal.reshape((1, -1, 1)).astype(np.float32)\n", - "\n", - "wavelet_width_list = [0.5, 1.0, 2.0]\n", - "scalograms_list = []\n", - "for wavelet_width in wavelet_width_list:\n", - " tf.reset_default_graph()\n", - " cwt = ComplexMorletCWT(wavelet_width, fs, lower_freq, upper_freq, n_scales, border_crop=0, stride=1)\n", - " scalogram = cwt(prepared_synt_signal)\n", - " with tf.Session() as sess:\n", - " sess.run(tf.global_variables_initializer()) \n", - " np_scalogram = sess.run(scalogram)\n", - " scalogram_real = np_scalogram[0, :, :, 0]\n", - " scalogram_imag = np_scalogram[0, :, :, 1]\n", - " scalogram_magn = np.sqrt(scalogram_real ** 2 + scalogram_imag ** 2)\n", - " scalograms_list.append(scalogram_magn)\n", - "\n", - "# useful for y-axis specs\n", - "freq_pos = np.linspace(0, 1, n_scales)\n", - "freq_val = cwt.frequencies[::-1]\n", - "idx_useful = [0, n_scales-1]\n", - "chosen_freq_val = freq_val[idx_useful]\n", - "chosen_freq_pos = freq_pos[idx_useful]\n", - "\n", - "fig, axes = plt.subplots(4, 1, figsize=(10, 7), dpi=80, sharex=True)\n", - "axes[0].plot(synt_signal, linewidth=0.8)\n", - "axes[0].set_title(\"Synthetic signal: windowed %1.1f Hz oscillation\" % central_freq)\n", - "\n", - "axes[1].imshow(\n", - " scalograms_list[0].T, interpolation=\"none\", aspect=\"auto\", \n", - " extent=[0, scalograms_list[0].shape[0], 0, 1])\n", - "axes[1].set_yticks(chosen_freq_pos)\n", - "axes[1].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\n", - "axes[1].set_title(r\"Magnitude of scalogram with $\\beta$ = %1.1f\" % wavelet_width_list[0])\n", - "\n", - "axes[2].imshow(\n", - " scalograms_list[1].T, interpolation=\"none\", aspect=\"auto\", \n", - " extent=[0, scalograms_list[1].shape[0], 0, 1])\n", - "axes[2].set_yticks(chosen_freq_pos)\n", - "axes[2].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\n", - "axes[2].set_title(r\"Magnitude of scalogram with $\\beta$ = %1.1f\" % wavelet_width_list[1])\n", - "\n", - "axes[3].imshow(\n", - " scalograms_list[2].T, interpolation=\"none\", aspect=\"auto\", \n", - " extent=[0, scalograms_list[2].shape[0], 0, 1])\n", - "axes[3].set_yticks(chosen_freq_pos)\n", - "axes[3].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\n", - "axes[3].set_title(r\"Magnitude of scalogram with $\\beta$ = %1.1f\" % wavelet_width_list[2])\n", - "\n", - "axes[3].set_xlabel(\"Time [samples]\")\n", - "plt.tight_layout()\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.9" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.10","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"

CWT Demo","metadata":{}},{"cell_type":"markdown","source":"In this demo I will show you how to use this code to compute a time-frequency decomposition of a signal (EEG in this case).","metadata":{}},{"cell_type":"code","source":"!pip install git+https://github.com//Kevin-McIsaac/cmorlet-tensorflow@Tensor-Flow-2.0","metadata":{"execution":{"iopub.status.busy":"2021-07-26T01:10:28.868244Z","iopub.execute_input":"2021-07-26T01:10:28.868882Z","iopub.status.idle":"2021-07-26T01:10:40.928493Z","shell.execute_reply.started":"2021-07-26T01:10:28.868769Z","shell.execute_reply":"2021-07-26T01:10:40.927409Z"},"trusted":true},"execution_count":1,"outputs":[{"name":"stdout","text":"Collecting git+https://github.com//Kevin-McIsaac/cmorlet-tensorflow@Tensor-Flow-2.0\n Cloning https://github.com//Kevin-McIsaac/cmorlet-tensorflow (to revision Tensor-Flow-2.0) to /tmp/pip-req-build-6imatw91\n Running command git clone -q https://github.com//Kevin-McIsaac/cmorlet-tensorflow /tmp/pip-req-build-6imatw91\n Running command git checkout -b Tensor-Flow-2.0 --track origin/Tensor-Flow-2.0\n Switched to a new branch 'Tensor-Flow-2.0'\n Branch 'Tensor-Flow-2.0' set up to track remote branch 'Tensor-Flow-2.0' from 'origin'.\nRequirement already satisfied: numpy in /opt/conda/lib/python3.7/site-packages (from CWT==2) (1.19.5)\nRequirement already satisfied: tensorflow in /opt/conda/lib/python3.7/site-packages (from CWT==2) (2.4.1)\nRequirement already satisfied: termcolor~=1.1.0 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (1.1.0)\nRequirement already satisfied: protobuf>=3.9.2 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (3.17.3)\nRequirement already satisfied: wheel~=0.35 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (0.36.2)\nRequirement already satisfied: tensorflow-estimator<2.5.0,>=2.4.0 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (2.4.0)\nRequirement already satisfied: h5py~=2.10.0 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (2.10.0)\nRequirement already satisfied: grpcio~=1.32.0 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (1.32.0)\nRequirement already satisfied: keras-preprocessing~=1.1.2 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (1.1.2)\nRequirement already satisfied: flatbuffers~=1.12.0 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (1.12)\nRequirement already satisfied: absl-py~=0.10 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (0.12.0)\nRequirement already satisfied: wrapt~=1.12.1 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (1.12.1)\nRequirement already satisfied: astunparse~=1.6.3 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (1.6.3)\nRequirement already satisfied: gast==0.3.3 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (0.3.3)\nRequirement already satisfied: opt-einsum~=3.3.0 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (3.3.0)\nRequirement already satisfied: google-pasta~=0.2 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (0.2.0)\nRequirement already satisfied: typing-extensions~=3.7.4 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (3.7.4.3)\nRequirement already satisfied: six~=1.15.0 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (1.15.0)\nRequirement already satisfied: tensorboard~=2.4 in /opt/conda/lib/python3.7/site-packages (from tensorflow->CWT==2) (2.4.1)\nRequirement already satisfied: werkzeug>=0.11.15 in /opt/conda/lib/python3.7/site-packages (from tensorboard~=2.4->tensorflow->CWT==2) (2.0.1)\nRequirement already satisfied: setuptools>=41.0.0 in /opt/conda/lib/python3.7/site-packages (from tensorboard~=2.4->tensorflow->CWT==2) (49.6.0.post20210108)\nRequirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /opt/conda/lib/python3.7/site-packages (from tensorboard~=2.4->tensorflow->CWT==2) (0.4.4)\nRequirement already satisfied: requests<3,>=2.21.0 in /opt/conda/lib/python3.7/site-packages (from tensorboard~=2.4->tensorflow->CWT==2) (2.25.1)\nRequirement already satisfied: google-auth<2,>=1.6.3 in /opt/conda/lib/python3.7/site-packages (from tensorboard~=2.4->tensorflow->CWT==2) (1.30.2)\nRequirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /opt/conda/lib/python3.7/site-packages (from tensorboard~=2.4->tensorflow->CWT==2) (1.8.0)\nRequirement already satisfied: markdown>=2.6.8 in /opt/conda/lib/python3.7/site-packages (from tensorboard~=2.4->tensorflow->CWT==2) (3.3.4)\nRequirement already satisfied: rsa<5,>=3.1.4 in /opt/conda/lib/python3.7/site-packages (from google-auth<2,>=1.6.3->tensorboard~=2.4->tensorflow->CWT==2) (4.7.2)\nRequirement already satisfied: cachetools<5.0,>=2.0.0 in /opt/conda/lib/python3.7/site-packages (from google-auth<2,>=1.6.3->tensorboard~=2.4->tensorflow->CWT==2) (4.2.2)\nRequirement already satisfied: pyasn1-modules>=0.2.1 in /opt/conda/lib/python3.7/site-packages (from google-auth<2,>=1.6.3->tensorboard~=2.4->tensorflow->CWT==2) (0.2.7)\nRequirement already satisfied: requests-oauthlib>=0.7.0 in /opt/conda/lib/python3.7/site-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard~=2.4->tensorflow->CWT==2) (1.3.0)\nRequirement already satisfied: importlib-metadata in /opt/conda/lib/python3.7/site-packages (from markdown>=2.6.8->tensorboard~=2.4->tensorflow->CWT==2) (3.4.0)\nRequirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /opt/conda/lib/python3.7/site-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard~=2.4->tensorflow->CWT==2) (0.4.8)\nRequirement already satisfied: chardet<5,>=3.0.2 in /opt/conda/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow->CWT==2) (4.0.0)\nRequirement already satisfied: idna<3,>=2.5 in /opt/conda/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow->CWT==2) (2.10)\nRequirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow->CWT==2) (1.26.5)\nRequirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.7/site-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow->CWT==2) (2021.5.30)\nRequirement already satisfied: oauthlib>=3.0.0 in /opt/conda/lib/python3.7/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard~=2.4->tensorflow->CWT==2) (3.1.1)\nRequirement already satisfied: zipp>=0.5 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata->markdown>=2.6.8->tensorboard~=2.4->tensorflow->CWT==2) (3.4.1)\nBuilding wheels for collected packages: CWT\n Building wheel for CWT (setup.py) ... \u001b[?25ldone\n\u001b[?25h Created wheel for CWT: filename=CWT-2-py3-none-any.whl size=5571 sha256=fb70d0a9ac07dcb01b8c6da3154ae69b5fa62246476cc3d22f893db189887da5\n Stored in directory: /tmp/pip-ephem-wheel-cache-n81e10i6/wheels/dc/a0/f5/80376d80f5ac281273f921ee3d8ec67af981799697f65c9965\nSuccessfully built CWT\nInstalling collected packages: CWT\nSuccessfully installed CWT-2\n\u001b[33mWARNING: Running pip as root will break packages and permissions. You should install packages reliably by using venv: https://pip.pypa.io/warnings/venv\u001b[0m\n","output_type":"stream"}]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\nimport numpy as np\nimport tensorflow as tf\n\n%matplotlib inline\n\nfrom CWT.cwt import ComplexMorletCWT","metadata":{"execution":{"iopub.status.busy":"2021-07-26T01:10:40.930564Z","iopub.execute_input":"2021-07-26T01:10:40.931147Z","iopub.status.idle":"2021-07-26T01:10:46.751625Z","shell.execute_reply.started":"2021-07-26T01:10:40.931093Z","shell.execute_reply":"2021-07-26T01:10:46.750741Z"},"trusted":true},"execution_count":2,"outputs":[]},{"cell_type":"markdown","source":"First, we load a demo EEG signal sampled at 200 Hz, so we can compute its CWT.","metadata":{}},{"cell_type":"code","source":"demo_signal = np.loadtxt(\"https://raw.githubusercontent.com/Kevin-McIsaac/cmorlet-tensorflow/Tensor-Flow-2.0/demo_signal.csv\")\nfs = 200\n\nn_samples = demo_signal.size\ntime_axis = np.arange(0, n_samples) / fs\n\nplt.figure(figsize=(10, 2), dpi=80)\nplt.plot(time_axis, demo_signal, linewidth=0.8)\nplt.title(\"Demo EEG signal at %d Hz\" % fs)\nplt.xlabel(\"Time [s]\")\nplt.ylim([-2, 2])\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-07-26T01:12:27.159823Z","iopub.execute_input":"2021-07-26T01:12:27.160631Z","iopub.status.idle":"2021-07-26T01:12:27.707996Z","shell.execute_reply.started":"2021-07-26T01:12:27.160555Z","shell.execute_reply":"2021-07-26T01:12:27.707193Z"},"trusted":true},"execution_count":4,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"Let's compute its Continuous Wavelet Transform (CWT) using some mother wavelet $\\psi(t)$. The CWT at scale $s$ of an input signal $x(t)$ is computed by convolving $x(t)$ with a scaled version of the mother wavelet, $\\psi_s(t)$, as\n$$ \\mathrm{CWT}[x](s, t) = \\int x(\\tau) \\psi^*_s(t-\\tau)d\\tau , $$\nwhere $\\psi^*_s$ is the complex conjugate of $\\psi_s$, and\n$$ \\psi_s(t) = \\frac{1}{s}\\psi\\left(\\frac{t}{s}\\right) $$\nTechnical note: Here we have chosen L1 normalization (normalizing by $s$) instead of L2 normalization (normalizing by $\\sqrt{s}$) because it makes more sense for time-frequency decomposition. L1 normalization allows unity filter gain at each central frequency that is associated with each scale.\n\nAs our mother wavelet, we use the popular complex Morlet to capture both amplitude and phase information. The morlet is essentially a sinusoid with a gaussian window. In this implementation, I have chosen the following parameterization:\n$$\\psi(t) = \\frac{1}{Z(\\beta)} e^{i2\\pi t} e^{-t^2/\\beta},$$\nwhere $ Z(\\beta) = \\sqrt{\\pi \\beta} / 2 $ and $\\beta$ is a parameter that determines the wavelet width (more on its role later). In practice, we do not compute continuous integrals, but rather discrete approximations with time steps $\\Delta t = 1/f_s$, where $f_s$ is our sampling rate. Therefore, consider instead the discrete variable $k\\in\\mathbb{Z}$ that represents the discrete sampling of our signal, i.e. the $k$-th sample occurs at $t=k/f_s$. With it, we compute the discrete convolution:\n$$ \\mathrm{CWT}[x](s, k) = \\sum_n x(n)\\psi^*_s(k-n) \\Delta t.$$\n\nBy absorbing the factor $\\Delta t$ in the wavelet, the CWT can be computed by processing $x$ with a convolutional operation with kernel given by:\n$$\\psi_s(k) = \\frac{2}{sf_s\\sqrt{\\pi\\beta}} \\exp\\left(i\\frac{2\\pi k}{sf_s}\\right) \\exp\\left(-\\frac{k^2}{\\beta s^2f_s^2}\\right)$$\n\nTheoretically, $\\psi_s$ has infinite support (it never reaches zero). But it has what we call an effective support since after some time, the wavelet is very very close to zero and we can ignore it. Specifically, we truncate the wavelet to the discrete interval $k\\in[-\\eta sf_s \\sqrt{4.5\\beta},\\ \\eta sf_s \\sqrt{4.5\\beta}]$ (we follow a three-sigma rule for this), where $\\eta \\ge 1$ is a parameter that, if you want, can be set greater than 1 to have a larger interval. Why? This implementation allows you to set $\\beta$ as trainable. If you do this, for example as part of your neural network, allowing some extra room for $\\beta$ to grow without truncation problems is a good idea. \n\nYou can see from the truncation interval that larger scales $s$ can be associated with very large wavelets, introducing important border effects. For example, if you set $\\beta=1$, $s=1$ and $\\eta=1$, then the wavelet has a size $2\\eta s f_s \\sqrt{4.5\\beta} + 1 = 849$. We recommend to remove at least half the size of the largest wavelet at each border, in this case 424 samples, to avoid border effects.\n\nThe complex morlet $\\psi_s(t)$ is a band-pass filter that extracts the maximum power at the frequency $f_c=1/s$. Leveraging this fact, I simplify the specification of the CWT by letting you choose the frequency range, so that scales are computed internally from the given frequency range, and they are equally spaced in a logarithmic axis (they follow a geometric progression). That is to say, the higher the frequency value, the greater the space between subsequent frequencies. This is recommended for wavelet transformations given their time-frequency trade-off.\n\nIn summary, you need to specify:\n- The wavelet width $\\beta$.\n- The minimum frequency of the range, $f_{min}$ in Hz.\n- The maximum frequency of the range, $f_{max}$ in Hz.\n- The total number of scales, $N_{scales}$.\n- Whether you want $\\beta$ to be trainable (optional, defaults to False). If True, the provided value will be the initialization value.\n- The number of samples to be removed at the borders after CWT computation (optional, defaults to 0).\n- The factor $\\eta$ to increase the size of the truncation interval (optional, defaults to 1).\n- You can also specify a stride, but it defaults to 1.\n\nFor this demo, let's use 32 scales between 1 Hz and 30 Hz. Since the demo signal has 1000 samples, we expect to have a scalogram of shape (32, 1000, 2), where the last axis represents the real and the imaginary parts. To start, let's set the wavelet width to $\\beta=1$.\n\nNote: The class ComplexMorletCWT implements the class ContinuousWaveletTransform that is also specified in the module cwt.py. If you want to implement a CWT with a different wavelet, you can do so by using the parent class ContinuousWaveletTransform taking the class ComplexMorletCWT as an example.","metadata":{}},{"cell_type":"code","source":"# Parameters CWT\nlower_freq = 1\nupper_freq = 30\nn_scales = 32\nwavelet_width = 1","metadata":{"execution":{"iopub.status.busy":"2021-07-26T01:12:36.962917Z","iopub.execute_input":"2021-07-26T01:12:36.963596Z","iopub.status.idle":"2021-07-26T01:12:36.968682Z","shell.execute_reply.started":"2021-07-26T01:12:36.963528Z","shell.execute_reply":"2021-07-26T01:12:36.967472Z"},"trusted":true},"execution_count":5,"outputs":[]},{"cell_type":"markdown","source":"Here we create our layer with the specified parameters.","metadata":{}},{"cell_type":"code","source":"cwt = ComplexMorletCWT(wavelet_width, fs, lower_freq, upper_freq, n_scales)","metadata":{"execution":{"iopub.status.busy":"2021-07-26T01:12:43.541187Z","iopub.execute_input":"2021-07-26T01:12:43.541780Z","iopub.status.idle":"2021-07-26T01:12:43.628595Z","shell.execute_reply.started":"2021-07-26T01:12:43.541727Z","shell.execute_reply":"2021-07-26T01:12:43.627632Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"markdown","source":"You can inspect the layer's parameters. For example, take a look at the frequency axis. The numbers are in Hz.","metadata":{}},{"cell_type":"code","source":"print(cwt.frequencies)","metadata":{"execution":{"iopub.status.busy":"2021-07-26T01:12:47.096457Z","iopub.execute_input":"2021-07-26T01:12:47.097081Z","iopub.status.idle":"2021-07-26T01:12:47.104272Z","shell.execute_reply.started":"2021-07-26T01:12:47.097030Z","shell.execute_reply":"2021-07-26T01:12:47.103083Z"},"trusted":true},"execution_count":7,"outputs":[{"name":"stdout","text":"[30. 26.88265645 24.0892406 21.58609264 19.34305042 17.33308597\n 15.53197985 13.91802927 12.47178665 11.17582519 10.01452897 8.97390473\n 8.04141326 7.20581834 6.45705129 5.78608972 5.18484874 4.64608358\n 4.16330229 3.73068751 3.34302635 2.99564763 2.68436554 2.40542922\n 2.15547758 1.93149877 1.73079393 1.55094462 1.38978371 1.24536927\n 1.11596114 1. ]\n","output_type":"stream"}]},{"cell_type":"markdown","source":"And you can take a look at a wavelet. Let's show the 1 Hz wavelet. 1 Hz is associated with the largest scale of the frequency range.","metadata":{}},{"cell_type":"code","source":"which_scale = -1\n\nreal_bank = cwt.real_part\nimag_bank = cwt.imaginary_part\nsingle_real_wavelet = real_bank[0, :, 0, which_scale]\nsingle_imag_wavelet = imag_bank[0, :, 0, which_scale]\n\nnp_single_real_wavelet = single_real_wavelet.numpy()\nnp_single_imag_wavelet = single_imag_wavelet.numpy()\n\nsingle_wavelet_size = np_single_real_wavelet.size\ntime_axis = np.arange(0, single_wavelet_size) / fs\ntime_axis = time_axis - np.mean(time_axis)\n\nplt.figure(figsize=(10,4), dpi=80)\nplt.plot(time_axis, np_single_real_wavelet, label=\"Real part\")\nplt.plot(time_axis, np_single_imag_wavelet, label=\"Imaginary part\")\nplt.title(\"Complex Morlet Wavelet for %1.2f Hz (%d samples)\" % (cwt.frequencies[which_scale], single_wavelet_size))\nplt.legend()\nplt.xlabel(\"Time [s]\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-07-26T01:14:20.349468Z","iopub.execute_input":"2021-07-26T01:14:20.349910Z","iopub.status.idle":"2021-07-26T01:14:20.533485Z","shell.execute_reply.started":"2021-07-26T01:14:20.349868Z","shell.execute_reply":"2021-07-26T01:14:20.532675Z"},"trusted":true},"execution_count":9,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"Now, we will use the wavelets to compute the scalogram of the demo signal. The implementation supports a batch of signals with channels and dtype float32, that is, a tensor of shape (batch size, signal length, number of channels). For our demo, we need to reshape the signal to (1, signal length, 1) and change the dtype from float64 to float32.","metadata":{}},{"cell_type":"code","source":"# reshape and change dtype\nprepared_signal = demo_signal.reshape((1, -1, 1)).astype(np.float32)\n# compute the scalogram with the created cwt layer\n#scalogram = cwt(prepared_signal)\nnp_scalogram = cwt(prepared_signal).numpy()","metadata":{"execution":{"iopub.status.busy":"2021-07-26T01:15:32.641566Z","iopub.execute_input":"2021-07-26T01:15:32.641938Z","iopub.status.idle":"2021-07-26T01:15:32.654729Z","shell.execute_reply.started":"2021-07-26T01:15:32.641907Z","shell.execute_reply":"2021-07-26T01:15:32.653510Z"},"trusted":true},"execution_count":12,"outputs":[]},{"cell_type":"markdown","source":"Let's see our result. Remember that the CWT produces a complex scalogram. We can visualize the real and the imaginary parts separately, and we can also compute its magnitude.","metadata":{}},{"cell_type":"code","source":"scalogram_real = np_scalogram[0, :, :, 0]\nscalogram_imag = np_scalogram[0, :, :, 1]\nscalogram_magn = np.sqrt(scalogram_real ** 2 + scalogram_imag ** 2)\n\n# useful for y-axis specs\nfreq_pos = np.linspace(0, 1, n_scales)\nfreq_val = cwt.frequencies[::-1]\nidx_useful = [0, n_scales-1]\nchosen_freq_val = freq_val[idx_useful]\nchosen_freq_pos = freq_pos[idx_useful]\n\nfig, axes = plt.subplots(4, 1, figsize=(10, 7), dpi=80, sharex=True)\naxes[0].plot(demo_signal, linewidth=0.8)\naxes[0].set_title(\"Demo signal\")\naxes[1].imshow(scalogram_real.T, interpolation=\"none\", aspect=\"auto\", extent=[0, scalogram_real.shape[0], 0, 1])\naxes[1].set_title(\"Real part of scalogram\")\naxes[1].set_yticks(chosen_freq_pos)\naxes[1].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\naxes[2].imshow(scalogram_imag.T, interpolation=\"none\", aspect=\"auto\", extent=[0, scalogram_imag.shape[0], 0, 1])\naxes[2].set_title(\"Imaginary part of scalogram\")\naxes[2].set_yticks(chosen_freq_pos)\naxes[2].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\naxes[3].imshow(scalogram_magn.T, interpolation=\"none\", aspect=\"auto\", extent=[0, scalogram_magn.shape[0], 0, 1])\naxes[3].set_title(\"Magnitude of scalogram\")\naxes[3].set_yticks(chosen_freq_pos)\naxes[3].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\naxes[3].set_xlabel(\"Time [samples]\")\nplt.tight_layout()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-07-26T01:15:35.390901Z","iopub.execute_input":"2021-07-26T01:15:35.391256Z","iopub.status.idle":"2021-07-26T01:15:35.910710Z","shell.execute_reply.started":"2021-07-26T01:15:35.391227Z","shell.execute_reply":"2021-07-26T01:15:35.909662Z"},"trusted":true},"execution_count":13,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"Remember that you have the option of cropping the borders, to avoid border effects for the larger wavelets. Since our largest wavelet has 849 samples, let's crop 424 samples. Therefore, now we expect a scalogram of shape (32, 152, 2). It is very small! If you want to avoid border effects, the proper approach would be to compute the CWT on a larger signal than the one you are interested in, so that after removing the borders you end up with the size you initially wanted.","metadata":{}},{"cell_type":"code","source":"cwt = ComplexMorletCWT(wavelet_width, fs, lower_freq, upper_freq, n_scales, border_crop=424)\nnp_scalogram = cwt(prepared_signal).numpy()\n\nscalogram_real = np_scalogram[0, :, :, 0]\nscalogram_imag = np_scalogram[0, :, :, 1]\nscalogram_magn = np.sqrt(scalogram_real ** 2 + scalogram_imag ** 2)\n\n# useful for y-axis specs\nfreq_pos = np.linspace(0, 1, n_scales)\nfreq_val = cwt.frequencies[::-1]\nidx_useful = [0, n_scales-1]\nchosen_freq_val = freq_val[idx_useful]\nchosen_freq_pos = freq_pos[idx_useful]\n\nfig, ax = plt.subplots(1, 1, figsize=(2, 1.8), dpi=80)\nax.imshow(scalogram_magn.T, interpolation=\"none\", aspect=\"auto\", extent=[0, scalogram_magn.shape[0], 0, 1])\nax.set_yticks(chosen_freq_pos)\nax.set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\nax.set_title(\"Magnitude of scalogram\")\nax.set_xlabel(\"Time [samples]\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-07-26T01:16:01.430369Z","iopub.execute_input":"2021-07-26T01:16:01.431065Z","iopub.status.idle":"2021-07-26T01:16:01.570848Z","shell.execute_reply.started":"2021-07-26T01:16:01.431028Z","shell.execute_reply":"2021-07-26T01:16:01.570092Z"},"trusted":true},"execution_count":15,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"You can also compute the CWT with a stride in the time domain, to save computation. For simplicity, we do not remove borders now, and let's compute the CWT every 10 samples. We expect a scalogram of shape (32, 100, 2). Compare the result with the one obtained without stride. You can recognize the same general trends, but with lower resolution.","metadata":{}},{"cell_type":"code","source":"cwt = ComplexMorletCWT(wavelet_width, fs, lower_freq, upper_freq, n_scales, border_crop=0, stride=10)\nnp_scalogram = cwt(prepared_signal).numpy()\nprint(\"The result has shape\", np_scalogram.shape)\n\nscalogram_real = np_scalogram[0, :, :, 0]\nscalogram_imag = np_scalogram[0, :, :, 1]\nscalogram_magn = np.sqrt(scalogram_real ** 2 + scalogram_imag ** 2)\n\n# useful for y-axis specs\nfreq_pos = np.linspace(0, 1, n_scales)\nfreq_val = cwt.frequencies[::-1]\nidx_useful = [0, n_scales-1]\nchosen_freq_val = freq_val[idx_useful]\nchosen_freq_pos = freq_pos[idx_useful]\n\nfig, ax = plt.subplots(1, 1, figsize=(10, 1.8), dpi=80)\nax.imshow(scalogram_magn.T, interpolation=\"none\", aspect=\"auto\", extent=[0, scalogram_magn.shape[0], 0, 1])\nax.set_yticks(chosen_freq_pos)\nax.set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\nax.set_title(\"Magnitude of scalogram\")\nax.set_xlabel(\"Time [samples]\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-07-26T01:16:31.554691Z","iopub.execute_input":"2021-07-26T01:16:31.555068Z","iopub.status.idle":"2021-07-26T01:16:31.720793Z","shell.execute_reply.started":"2021-07-26T01:16:31.555036Z","shell.execute_reply":"2021-07-26T01:16:31.719827Z"},"trusted":true},"execution_count":16,"outputs":[{"name":"stdout","text":"The result has shape (1, 100, 32, 2)\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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KUY0i/jgY0FerV8A5YX7C1TpjnKia6oPjMdV5DSpTBNJnmzPWdvAhPoW70AdXBgLgNUY8k0bxO8bnYNjVxz+lYx0SqDaJsBwOeJcwXRfebzC3HdM4FNHdJuAuzaNpaJTpRcj4y90ZzSTRHdLn3TmekDyZhiWtcUzGKLnbcTDWdKF5kT5wWmY0YWv03NbHmidwG+ug/rJ+ZEwfTv7B5LvNmOHvmO1WHxte1PxTrfrJvQwTKtIdMYs2vYI/d34ppT7SyZ59l7DfQcUtd82P5j7yK0iHtESvec0MgOA3PfAHGNARLuAPSdkXisOdGsYy7WxQMJS0Fq4UW2Z9cvZY9G+pvqXcl7EP25+LekN8Hr7k3HdYzviK8V0ypjjIxBWjMSlmOpnc4fPcEVQgghhBCVQgtcIYQQQghRKbaQRMHjLEHDhsAADOZiaUG2EIcwc2ITlpPQbeoVOu/Elh5GQgDU8qUeV9LfyU3J68d5QoIQZoHDwq2JkNaAWNTUxuIwYs5CV0S6kMxKw6zZyLXNZuJryELyg5REoRGfR2OBWLuMk/ARCwmypCUABovEgmcXMQAnYVIfj0Njqb+urU0kJiwbzwixmCNhYxqmBOAkzJ2R8LATC68mycKVkwQaALhUhjQ3m42N0nn2pcSUzyzE2BxJxv9gPK5j9A6SdAOg9l5s/qKm/ESSRW2YAHqtnN3HbF4jNoA5uScBbiGZrbJ5arif7JT9IQsbMxtMZlXnJIxOpRwAfGec9MPaRFJE6shX49/crE5kVABslcy3LIzO7PCYbC4xt4BJAJncgcyDvam47jwxteQN0h9jpE00QyOpgMgsgMR8nsqcugnoCa4QQgghhKgUWuAKIYQQQohKoQWuEEIIIYSoFFtHg+uABRpcIxrOVJrBzvZYUzV2OtZ/5U3ydwQpZlZIAGBMJ8d0g9Oxjqw/Fgtp+tu5iGf65M74i2PH6T4RLB3wYDQxHGtED0R0PyxFq6+yNLoJS5u9u3i7hjkW0Q3WmF0cuAUP03sPdsT2MfUpYlF2ep7WzfR7xuyQyL3UJ1o1JzZrAFBvxdrgWivWbOVs7DCLn4RNmLH+YKmIV4kufoFoTvdyfWDGLHvI+Ge2Ucw+KaWLpDp+tj0ZU7Sty8RmDaAaXGPXgxyGvqPQTOgDme0jGyNEkzmYi+falC0cs/GiGlxCTjSq2QaswIzY/VGLRWYTmai7vy2+5s2vDPeeB9UYJ9KAO7kv2Tio7Yp/93rNuO46s2wDkE8Nlzo5OzHcOMgSm1ufjGfyHoYROzA6d6bGObXiGz6V9DDoCa4QQgghhKgUWuAKIYQQQohKsYUkCs4toqLNE1Y+vak4RNXYGYc2mRygTupIhW5tB7Eou/t0vAMJ4fQm4jpWd3K7rNGTcd2NO4+F5SzLGLXNSbir0PAKy9xFQrfU8ihhE8as01jokclbmE0YC40BXKLAbFdY9pl8imRlSmS6Y2FdOj73xKH3/iTJ5NdK2AiRdtVW47D4gGULJPZo1BIIAKbifWyFhB5JiG9wIg63Mhs5AMhniZSEhP2ZDRrNLpW0jUrmIjobli2KHMYTGb2oDRS7HmScZ6y/Ezix94okbQAf/0y61lgkof0ULMsfk6IRqydP2R/SrHnEJozMOU7GDZUNARiQ30R2L1HLqg1kKqSyJfLbMNhDxjk5b1vgc6pPx3MkG1M18tvQPB1fp+Yiv8cay/G1GpyK1w41Zh9GSI41ArXc2yT0BFcIIYQQQlQKLXCFEEIIIUSl2EISBcADiQLLvsTelAWA3lj8d8HSQZLJhmQQ8Xq8fdbh4ZUGcWRonoyzToGEPvrkHNr8BW+s7o5D1tvm4qw0g4k4ZMfCyY27E5mOCJ7opxDiQpEnsqixrDE1ktknn4qPRbO2sHAkEhICFg4ioWyWPavOMmcBwAgJHxEJRm9nHB5mcphaJxESZ04NJEsQC1mjQWQWJIMUAMBINjjmAkD6LyPZs1g4HgAGMyRczhJ6kfnLhgwvAgCYAwF5S767PT4/FrKmIXGASkYG42QfErLOmMsMy+wGLp1gEgV2Hr3JeEyNHueZCilDhntZRruULCQnGQaNZOAzJh9g4zkhA2JOG87kQeTes2Hnf3DnJNqvs/H4z9j8f/IUrdsPxI4M3WkyBgdxv9a/ciIsH93Pf8dqLEsck3+w+5hljUzg08RxZSQxJ2wCeoIrhBBCCCEqhRa4QgghhBCiUmiBK4QQQgghKsXW0eDCQ0sRppNjGiEAGBB5W2uKpSaLizuz8eVvLHMN7vjx+GANoiFlllUDlhBthtt2tHbG5zdxINbg9kdjfZQN4vNrnFqgdWcDYhdE7MByoher7yZZaYjOCgDyOrnmi7EGq7ctPhazrmHZuQCgvhpbsznLAMMSdzGNatI2itgCEf1ql2iVB80hNV4AjFhpsfNw0kfejvWP9HoAVN+Zr8Q6QGZNxTJhUW0nElkMiZ1OzuzUtsfWRp6y5WG6Z6K5608M+fORsG5i/ZQ347HGbNMaRFPOMhsCAIa01usTnfSASBONZQADnwvzSaL7TOj1I1Ja85x8V2PvChBNrTFNZmqskduPZmJk2dWIBjelPWbv17Dfyv44sQUlfZft4ZkveyNk7pxm/RT/vtVujrX39dXE+GBzCNHe10i/9ubIuwU93t9Zh2SgHLmwS1A9wRVCCCGEEJVCC1whhBBCCFEptpBEAfEjehZeTIRPc3LV+sR9xMn2g1ESql/kddfb8d8kIztIBh8WbiVtykmbAKATO5ZgZU8cRnHy59MICe1bIoMbWFiXhFFq22fD8pxkLWLZtgDASOi2fnIlLO9cGUs2epPE4m0pZXUTH4uFkzNi8UPDz6mwcYuE90mo0slpGItcJZINsWxKTFqQN0hmKzIOeiT0DQAZCbU5kb04sdGiFoQT3MrHSHiYXXOWwYraHKbCxuRY+Uw8tzDpDrtfUrIQKvNgtnekv32a2EwlbLdYqL5PZAKtuXiu6I/Ebe0ROzUAqK3G8oXebDyn1sk1rM8TCzsSRgf4XGHtuE3UTo1JcYilX3GwuLhPbOEyIheBk3svYT9VY0o4KueL+7XWIXMRyb4HcLlDb5z85lu8ffPhl4XlNOMhQCUm9d2xpKI/FY/B9g7ym9vi/T16gsypqd/8TUBPcIUQQgghRKXQAlcIIYQQQlQKLXCFEEIIIUSl2DoaXHfkgaawRrRf1K4HQEbkoHUiuWOWXN0Zol3iEh5uuUS0LMyew5ibSEoXSf4cYlrb/hhJpzmIdUX5bqI3BWCt2LIqb8ZD2PbFdmD9aaIzJHpCAKi144s1uPnW+FhXPSYsb2+L6+iP8ttwQFIzj56Ir0d9gQxCosVmqZwBwKbIQGR2ZzTFNLH46XJLG5ruclcsBGepp1tXxvqynFxXAGisxPdMk9n/9GLNYjYVW52loBpckvYaxPaOataDdOVfrZtYDfbIPcPsD7M+sb4iqWEBrplkWlt2v/ZnY61mjcwTALci607H+3SmSfrzibhNSwdI3wForBBbM5bKllzz+vG4v7M272/PSbsWSMp0Yt3HxhqbswFuj8bGFLUHJPrpQWJOzWbieY2NnUGDNIpozVPn7TWSspbcGu1RMs5H4rbW2/wHvLFEfivJ725nO9HgzpLfpNSaaZnYADa4Pn0z0BNcIYQQQghRKbTAFUIIIYQQlWLrSBQAWGQDEmQ3K8q55UV9NX4W31wk9jjEoWZAQviWJ8Ll3bhdjVPEJubuONRbf+gVYXnWSViUxa5YmDochx8WHhSHUXrkvJl8AAAapD8GE8Syh9iBsYxXLDQG8HChPfqqsLxL7MB6k8zyiNdtOZMoxNtnx+fDcp8iNkyJjD/GMv4Qq6nGUhyqZ3Y6NEwJwC7dF5b3mHXNLAlV7o7LmcwIAEZPE7lPK84OVjsVZxNj1w+prFokUxULo+dzJPPTPJGqnCDSDwBOQrc5yb5kRIpQWyUXl1nVgYeUmfyJzansOjGp1r21K6x7SJvIAQkzA0CtFbe33iLXtsvuJWLDtEx+F8CnvP6xu+M2ERs5X43HGs1wBiDrEZtDIlvKFuM6WOaz/gS3hetPxNkhu5PELo70X0bmL7/9CK07OxTPIcxKsUdkLz3iCjoyT6vGOPnty8fi34D2NpaxMj7OyCKv2w/fGZZnowf5TpuAnuAKIYQQQohKoQWuEEIIIYSoFFtHomAWZ/1hb4AmMjyNLMbxhLEjJIZPaO2I3whPhaxZ6IpmKJqbjTcnPZ91eTitsULCSh/7fLz9nqvD8u4UizsmQtYrcYgq3x2HqHpTJKxKosPszW8A6M7EF2t5Xxzqau+Mr+GAROyyOLIPgIdoGfnp+biOOulwkr2nOFg8pmw1zuhVJzISJ2+wD0hoDAA6l8T3xuqueJ8WueY98uJ3xl90Rk7e2M56cQx6jIS4a2RuyRfJW+rgmcmcuAn0x8ib0SRLVY3JJoD0WAioE3eRBsnwR50dANhM/DY1c7tg0p1aO66jdjJxzcl5N4k0ozNDQrck0yNz0QH4/W3ELqE/SsbBznguqqUyRbEMjXt2x9uTTFg2G9edTycy9rF7ZiWeDPPDd8THmY6ldkxuACTcbEg2MTY/M5eN+lWX07qZC0YtnlKREdlLn1za1Nqh1iL3xmIsMeyPxjoIVnd3IjHWDl1KGpXQBm4CeoIrhBBCCCEqhRa4QgghhBCiUmiBK4QQQgghKsXW0eDCADt7Pe/9WPzCMqcA3B6H6eRyopNjdmMpy6p6i2htiT6qsyfWqHZnWEY0rkXtzMb7rHzP1XEdxC4rZ/Iolm0LgM8vxOVZnMnJs/hY9RWiTST2awCwujNu8PIlRMs1EV/DxjJpE9NVg9vp9MfjNjUuvyw+UIuIvLpcAOzLsf1VdB8BAIjlWDYaixC9TkSLANqTxA5sBxnnO8h1miY64oQdHtN3Nlbj8uZSfN61U8PbhHmd2J0RPWiP6d48vn4jl++ndecjxKqL6OSYHZidjv2CUtrj2oBkZCPzGrse2XIsrvZT87Rupj1ujMfXcHQq3r4/xvooMdbIUGAWesyyqrUvFmuOkN8eINF/RDvLfhOZNdsgUTeF6d+JbWCX2AYyKysA6GxnGlxmXUYy1A3IOBjlGQzrnXg+GllgcwKxamS/lQnHO/ZugZEsgszejv2+re7l1zx71GxYPjqfsEzcBPQEVwghhBBCVAotcIUQQgghRKXYOhIFAxBYJWWTsRVGZ5JnYelOx2GDFskqxGxiBs34kT6z4wKA+gqxHrr1triOA48My7uxswv627iVT382Lu/siIdRLXYfQWORSB32cz+dsWZsB9Mj4UJmQzN6Im4Uy5QDAH4wDp+yUE3eJBY47fi8x05weQSzLxuMDSdJaZ4kId0TsfQDAPIW6cBUJq6oDnKPGcmuVnxJqia35WCUyIZG47Y6k1mAW1Ox8DCz6qqTUK+NcJlAfzbep0dsj2jWPCJd6MzyKZ+NtVqXZSwjMqfJ+ByST1OIhVi2SvzcmM8hwbZxOQzLHgdih9c8Hc9TY824vEnmOwDISNXMPqw/Eh+rTazLemSeAIB6J76ZaIZBcho5s3pKSO2Y9CpvEJu8ubi8QzIY9hISBSZFGIyx+Tw+TodkHK31eN0jh+O5fvRobK1X3xnfS4NG3ChmdQYApx8ay1jyely+uie+Ht0d8aDtEQkjwOU743fJJkwIIYQQQohzRgtcIYQQQghRKbTAFUIIIYQQlWLraHCzDNi1/azi7vZY47Kyl2twV/cQ3Vssf6R6KqZRrSXSiPYmieb00Q8Ny1f2xNt35mIdzdxersncPrYali/34mt1YiG+IMunYj1Vj2ibAaC5EOvbakQ6OzpPdK0kHXBOLIEAYEB0b14nFlREV9dYiuue+iK3T2IWTa29sX6VaTWzfnx+jRbJBQkga8f9ly8R+zCmzWVpghN/XlP7JNKt1idarh6xHeryylka34zI01n6TZqKeILPLZ1t8Xftmbi9zO6PpuJm1wnctrBJxm3WJdrjyXhMWTsxsfXJxWWp1JnlEUv3nbIgbJOJmLSpPhL3EbuTLGHdVFuOdb4DMkZW98ZzZ3uW/Sbxcc7TBLMdyPZEs5v6HWPWiAPy/kLeiPuvMz1cWnQAifMY0nqLDSn+SgV9hwa3Hg6Lm41DYXm2Pz5BtgYBgBUi/e9PE+vMmdhCcmoivl9yYq8IACtj5O6wRG7hTUBPcIUQQgghRKXQAlcIIYQQQlSKLSNR8Lph9eDZ3lgru+NLsLqHh7Tac3EMIh8nIWsSFqwvsjBbym6DZR2Jy1f3x22avWw+LH/M7ttp3ZeNnQjLO3lc95dn58LyL26Ly4/u4Blglk7Hobn6fNx/vSlikzQd15ETyzYAWN1LwmkT8bXNWnHdTG7AygFuk2QDYh8zwmyj4uuUzXCJQp1ZNzGLLSfjn4SnnGSpKr6Mi2ud4bLEZYNYslFrJax85onFHMm6M3IyDtnVTsfWP/kst0djchhm/9Mjh2LWRhlPXEfD+EyaMRgl47xBsi/1ElnzFuLsZywLHss+hpzEhwc8buwkmx8bIdaJ78n6PNm+TbIIAshvvyMsb5DMXY2peK7tkvmuy5VX6JNb38mlZfIgZn9oC4kMjcSSrrEaV8LmtQGRLjhXu1GZDpU1kIFA76WE81VnLq4kf2wsMexOk9+3STIfTPNr3t8VN3hyWyw9nJuM56+ZZjzftUlmNwC4M4v7dblF/Eo3CT3BFUIIIYQQlUILXCGEEEIIUSm2jkShZlg4eHZ4Z3UfydZBHucDwMgMyYaVxcdqr8RhiUF3+Gwk3SnS3p3EFeGS+bD8m/d+KSz/xskv07pna3HIYn4Qx0kzEmfOyGu64w3+2u2JibiOpe2xdKG1j0hPWPaZBg9hjo7F7ZogYZel5Tj2t9wjWXoynmWJhctZGIypW5gMgrkrAICRsG5WI9IaEuoFkyKwN94BZL247vpqHHtsxhFu5CTbVj2OygEAxk7G7Ro5GZ9f/UTsgpEfPxmW21jqFe8YFnKloVj2KnzKTWDIMZXXiZxiIg6jN3fM0rqzMXJvNONjOTkPI2PNx/g4zxo74n0ycuJMHsFIbJ9dcVlY3p8i14Ncc+4MkGxZfCj22GvIOlIZOcfvimUbjaOxi48Tl5vmXPy70J/gGgUqA2LlJIMhvfcSrhkd4hTEynuxEg1d8pPBMjoCgBHXH/Z7zOiTAZI6TqNGMkqOJCwnNgE9wRVCCCGEEJVCC1whhBBCCFEptMAVQgghhBCVYstocPMasHLp2RqR/r5YC7RzB88uNTUS77PUiXVCraW4fITYhI3flbD6GCP2INvi8rEGsQapxefQS/ir3NE7OxMcAHyxvSsuX47twE604nQr7f7ww3H7VKwLntwe62a3jcbiy10jvL+n6yRzCxEn3tWJBVJfnIuvx52XcA3u4imSgWwhHjuNpbhNI6fj41vO+7vWirWiGcm+5MtxXyCPx7MltIn1dqxBbBANrhNdMBvOLJMSADRWiKiQaIYHxN4u3xP3a3eWa3C7JPMUOw9m4QVihURuewA8k1mNSKuZrrs3FfdrXuc2gDXid2ZEi21sTJGsWkjMLSz7GbXvIzrfvMH6jj9HypvE/orYYvWJNVtGzptMXQVEx5yz10+IXJKNm3o7obHvxveYteIByrLgjfTjRjVJpruicnLNiQVnn1iz9cdYKjheNdPnskxtORk77D6uE7tEAOhbPO8stuLJZYnYOzZH4wFSq3E9bY9kPQTLHrdJ6AmuEEIIIYSoFFrgCiGEEEKISrFlJAqoOXo7z360Prd9Odx8zyQPWTP7q/lWHFa15fgyTx6Oj7PrPV+hdXcP7gzLexNxOOHojjhTyKdG94flt63GljkAcNdqfKzDd8fShfwYCTMTaUaK/jgJD2+PwyWzc3G/7hiNw+iXjp6idT98NM42tCOLj9X2OKR1eDa+Tp/ddQmt+9PzcUajL5+I+2n1WOwrk9fjMJT1eV/UV+NxW1uOZRO1SZJWi9iN+bB2SwBqPRIOTUgOIhotHk6rE4lCrRWPNRaC7pHQZmeWy0L6xBaIWTexbEoshNlY5tepuUSs2Ya8tiwTFpMuAECfyAQy0t9ZJ25rjZRnPe6X5UTuQGUvJPzN5AZMulDUQb8KYZn8WGawWieVFZPJI+Lt2Rg0lumO2G4BQHsXCX+P7Q7La8uxRIFlesxOEt9AAL4Sz9sNYkVZn4kldflIfH8by6YHwFrECpPMhd1dcZtay8SKb56PNSZ7YeOTZUftT8QDpMOTYsJrJHNdVxIFIYQQQgghzhktcIUQQgghRKXQAlcIIYQQQlSKLaPBNQNGps4Wps2OtcLtpxvcX4XZQ000Y0Hc6em4fPFQrGXpfd8BWjfTR3W3E91PHv8Nc/vpbfFxenxItE/EIpuJ2+J9tt8ci7Mmb45TmKZYPTQbli8ciq1Plg7G53cTOb+RGvNbAnbWYz32/pE4reS+ejym9rHjNIiHF4C5RrzPeP1QWP452xOWtwexjixLaHCzQXytvBbrwhoz8eA0YuXDtIwA0B8jdmDE2ohpEJmNVmOJazKbx2ONnh++MyyvbZ8Ny/Ox2BbO8oRlFbmNMyLdY2lSm0RrO3aSj/PRY/G4zZbiudBJyuHebKy9T6VPZTZJNF0uKWf2YVmbn7cRfS7V2hI7Kfq4KCFhZhZlWSduU9aJz4PdY7StAHrTcf91p+J+4ilrmcUV11f2JpigN25vg9z3DWKPZuSdg+JLoq3uk2u7Et8XtVWyRmhzL758Pv7NsKnYQo8ZCmad+B4bO87Pm401kGs4GI2P1d4R91GbWJUCQH+cXPML/IhVT3CFEEIIIUSl0AJXCCGEEEJUii0kUXCMj54d55tpxuGH3SPcZoRltnrQxImwfHFHHE44cUUcNl7uEx0CgD6RHDAGZPvFLsm6RrJXAYB142MZiXx0SRiqfWmc4SnrcnsVBrM9GjkVh0tWJ2Ifpk+N7KV11EncuDsd3z4HG8fD8lHi6cRsxQCgQWLQM0RCMzkWh8dak/EYZFZWANBdia9hvUWyKfXikBazrEqFMFnYc+iQFqkiZd3Un4mvVXZFLB3qjcXjoDfJMnrRqmk4m0owiHSBZZGqJezRshXSUSdiC72M2MLVWb8an9cGI8TGjkgOai1i5UbkFCnbKBY2zqbi+dmmidxnPD4/mhENXFpgKyT8fTpua74Qn199T2y7BQC2czYuH5Dxz6QLxH4qZYHGvmMyCLZUyeuxbK4+zue1bHtsd8mkKmC2XyzkP5L4Dd0W1+01IslqxOVZK5ZT1Ofj9QwA2Ol4jAxOxRK55t547NRbsd1lvcPPu0PGTs67aVPQE1whhBBCCFEptMAVQgghhBCVQgtcIYQQQghRKbaUBncssPFiWsY9xAIKAK4cORbvU4v3mSJCuQbRdvYSQsMVkgfz+CC2GbmtG6f2/fxKnAL2s/XYZgoAjhB7tNU81mzlJNVln+ijmkvcT8eYHQzZhek+64uxFuj0qVhXBwCfzOJrtdCLz3vfWLz9OBkHvYRY7VQ31jkeWZkNy1faRAfVY7pZrg9kaUGbxGJr9M7Y0ixbiG238imS2hdAbydJOdwg6SOJdq9H7Kda2xJ/2+8n0yLZJSfdx6yvUrozmg6VaXPZDM60x/WUbVRsrVe7bDaugqW4JRZeG7IEYlMCORbTLPp4fK8CQEYsqEDmL6q9ZHpaMm8mj9Uk/TQX6x+zXXHqbpZOFgByoh1nzWWWdMOOA4BrcFl630GT2AOS9zyyPl/aUD07SQttZPthf5MA0PHMLLzYtTXyvgq1AgMAov/NtsfvxAzG498SZh+WgqVYZ7aIm4We4AohhBBCiEqhBa4QQgghhKgUW0ai4IgzkDE5QL6BeNo4sYHaXYufw89kcdisYTwE0PM4TnQ6j7OD7azFYWNmP9VJeBgtd2IbnBOLJCxOMsYwa6/pW5dp3bU7Ygu2wf44W1T9QURyQNrUSlgYHSfh/YXl2KLmltFYFtKo8+xZjA7JvNZqx6HH3nLcF9kqsXjjCZ5oSHlAbIEGE0NmMiPhZIDbeDEpQneKSBRIeT/uOgDAYJSEXMmt4TUWok3FKmNYyM4GJHMX6b9al4R0OzxsnFEZC9uelNOQLq0aNVoHsQljlnTE9i6b4x3O6sgGmxM/Zdn3AFApCd2Hbb+BbGLUio+M87w+XCaz1E8oaxeTLrBj0TpS15xB5QNke3avJoYNzVTI5A7knsmoXIRLcRhMSsKkV6yPUmONjdtUlr/NQE9whRBCCCFEpdACVwghhBBCVIotI1HI8wynFs9+a/tLJP7QTYTqF0h88+7R+C3FA43h5AOzGc9GQl7MRpu8+sre0J/IYpuB7c34jXcA2DEef7cwG4dF2q34TfisT0LcI7ETBAA0DsVv3LPwGAtZszeEa+1EKG+eZKpqxdd2vjF8mIhXHhezkHXWH658MMZjRK1d5NrOxue9QPrIcuKWkIhoDYjqhSRZQn88Po/BeBzL89FERq/ROO5fq8f71IgEiUVJUy865wNyb5B7Jieh+h5xxzAiQyi+I2OHHYuFT4ncwMgYTO1DxzPdnh0/4dDC9mFh4CHdBDb2Vv1mbZ84700KD9Owe2IfKjkYMizO3BVSTiXsu2HbxOUlvG4GddrYrHGQOhaBHYvLqBLHolKqC6tR0BNcIYQQQghRKbTAFUIIIYQQlUILXCGEEEIIUSm2jAYXA0P/zrM1oXcsxNZGRydjPS0AfG58d1i+fTzWzu4aj7W2u0ZiW6xUFrVt9VgHyzS1GfEy6REvmN2NRVr3o+JER9g1Fp/fsZ3xNTxxRazNXVjl2tVem2Td6TBxFrNVYnpCLpxi2qIasd5iOkBeN62a6qCozotl26rHB0pIzTGYicdOp0FssUg5GkSjSsoBoEa+azTjizvZiMtHg+yFADBS4xe9Qb7LhhSx9Ymor5PIssS+axO7uE4nLh8QbS7T7AKAE61tng95z7B7j1ghARuwRxtSB8i0vADXB/JjkXKmYU5Y8VGLMqIxZprFWpwkkWaQAoCMHCsjWbKYlRUjZRuVE6vB3jixBxyLy51MkE4szYCE/SH5+clHyNxJ5jtWXrSLpSSku2weQ1sQkvHMLAjJmAX4Oy55wrZwM9ATXCGEEEIIUSm0wBVCCCGEEJViy0gUsj4wfevZ63malWmE+4x0xmObsCPjM2H57RO7wvLaVPxMf2KiTeuem4wlCjvHYrnDHLH9mq7HcorJWix1AIDtRB4xMxEf68DY6bB8cSaOBZ3qEjspAKc6sazhdDvui4WVuLy9EvtP+RLv71qLZGRbjMMrzVixQTO41VuJMCIJC7LwH8v01Zsg5VyJgx5JBkdlDc04ptsYj8f52BiJqwKYGo3H4WQzLh+vx8carcXx4SzhpxNlPASALknt0x7EY6fTJVnoiNwAAFbbsWSqSyQ6eSsut048ZlmGM4DbhA1rWcUr2OB3Q2xPsywl+pskN0zamsWVk+OkEhiyiDUJ99bbZA5ZIZKeZa6PqC8RWdtCPM/7Esk02Y/rsClu+5hviyeXxkw8b3dn43vMiK0en1n43JmyFouglmYJiQKVaxHpghELwqHvFwBOpEZOLAiZZMlJlklPyQ3oV5IoCCGEEEIIcc5ogSuEEEIIISqFFrhCCCGEEKJSbB0Nbs8x98nVs8qZnqQ/yu10+hNE9zNJyqfjy8zKV6e5XdaXZmLt0uGp7WH51GSsj50Zi3W+20bOvkZnGK8Ty6WUD05Aj/i0rPYTuucBsUkiesY+sUPydlxeX+F/6zGt7ejJWDc1fiLWTY0dja95485YqwwAg7uOheW1uR3x9vvi8tbuWNvWmuPjvL1jOIumLplOqHvMBnKFDog+lo2PehY3lulsAaA3iK9JqxePz9VOXN5uxXrvfDmh916Ox2FziejAiSyS6r357U0tqFgKWs+G0zKytKqpfXKSm5zpwKkuMiUP3KSUpDQdacqqi6YcZv6A7EBxcd7k89pggryP0CAXcTsR5ZOc1F5P1D1K5u3xuO7BCKkjYUXGoKmFSf/lrI9YLu7Ec0NyK8HJuxb0/DbyaJKNHWb3RzS7zG6Mbn8R0RNcIYQQQghRKbTAFUIIIYQQlWLLSBTQ66P+iVvOKs6mYyuT5iy3OOnPxpZV9dk45FMj2bZqxFYjZeXTJZmL+q24jtMrcexvcTw+h7tHSRgKPCtUsx7H7GpDhqBZ+BngUgRWTkPQxI5lMMGzanWJj9CAWHJ1tsd9sXggtkHLetwezQb7yRdxcU4y+OTx0MQgdqUCAPTHyLViCpqM9DcJgfXJWAaAlTy+5m0iB8hI3U6axLJzAcCgT7KAkfvYiOylRmQvzWVeN7OYa87HJzI6H4/b0VOxUVLjeGwBBQA4HktlBsePh+VMJoPts2FxPhPPOQDQn4z7lYWs+6PxtR1W0gBwqQXLeMUPFBcnp0EWsmbZtojMI2eygkkuQQKG9MUisLamrh8LvbN+ouWsvxOnxmQs3LKN2ecRSU8iK2ZG5hCvMRkQOdBG1ABDS3GGy7zJrhMAZDTTHt1lU9ATXCGEEEIIUSm0wBVCCCGEEJVi60gU6jX4ww6dVdwlb3MOxvml6U2QsNnYcFmkWNYpkjApCXuDl2U0GpCubyXCKz2SmalWj2McdSJdMBKz20jUhYWmR0bi2MeAtCkfT7z5uo24Y5Br1WHXcNi3VQH+5iuTYAzrTJD6E5cdi2V+In1ByxNtZVl3+uzmYKFelr2HZEAqKiHXlpSzDGDsbWMaIgXQZ/KP2bgOlomxQ7IF1vZxTUqtuy0sz/pnz5tAwk2A6UISUJkAuVb0TXjiWJA2ehm+vUOROPwGjEQ2DaoIY1niSB/xOSpRObETyNi9R8Prw/d3ziSAzImCTTlEZpGUtlA5BznWJmX4Kw425KGYdGFIdxGA9we7XzcLPcEVQgghhBCVQgtcIYQQQghRKbTAFUIIIYQQlWLLaHC9nmHpQWdbYA2IfVKfZE4BeFaVnMjbmBUTqzsf4boUZn/iLLMPs25ixX3+Nw+TNeXE0ollE6Pay80UpBHxErUPS4idnDmIDdtcmvgmcSDa3iEzHTG4OxrNUES1pWx70q/Jpl7opDipylndxMonH4kviBPLtgHR6gNcq9Zl+t8hLXuoxhFcx0/1c0z3T7dPZPQa+ljD1bGRurmel5T34nFgJEtVah+mUbUBqYOlyNoILDMZm4pq5DeDaXaR0Jwym0Omdx2yPL1PvP3Qdafs0Ya0VBtam5t6nWPIOZX+HG/g55uNz5RudzPQE1whhBBCCFEptMAVQgghhBCVYutIFDKgve3sZ/QbyYRCpQVMJkCzsJDQbcJGiIYZmHVHj6XEIfEEknGkOBjJ8JTYJWRDtjLDhWiHzcLCrE+ARPh02DqorRKvm7Zr2Gu4iSGtocNs1GYnUTfL7MOONXSbUhd9uPJNC/0h0V4yV5BbkodbE+OcywGI3IFkIWL3iycyHTk7FrMUZNeQ3auJ86514y+zTlxea5PMjR1ii9ji6ZqsE0+41o7Lvd2JD9SJy3NSDgDeiy+WNeIfrKwel1uT/CA2+Y+okWOhTgZujWQAY9uzchRyxZAsLmfb0/KUNIPIObjcYTgZREqaMaz0ZFNlYveBKjFCT3CFEEIIIUSl0AJXCCGEEEJUivNe4JrZq8zsNjNzM7v6Xrb9cTO7xcy+aGY3mFkYwzCz95vZk9eV3WhmLzjf9gohhBBCiGqzGRrctwL4TQAfSm1kZocAvBTANwA4BuBvAfwkgD/chDacE3lgQULT8KWkLDRtICknEixjaUS5ZAtMYkMtmoYkqYkZNnXfsOWJ9IrD6v1qXWblM9z2qe9qbVLONH1U68e9UrIe+Y5oqFmaVG6Nk0hR3CSaa1LO0sbmxFZv0ExY0jErPiLro7p4qrFP6OSYZn5IvSu1C0rdqhda55vS4G7SfbyZmW/ZNWR9YaRfU/NanzznqVErKzLOyX2RjXA9aNaNB7T1xuLyAdH59snc0k/4MBFBNrMi49aEpHwj1mVsn5zohcn1AEvHC8ConeFwOlim2aX2igDANLjsWFSby3TEvGqqMab2lcNNOhtZg2wkrfcwnPcTXHf/gLsfOYdNnwrgHe5+1N0dwGsAPG0jdZrZO8zspvK/28zsyxs5jhBCCCGEqB73pYvCAQC3r/l8W1nG+B0ze8m6/W8CAHd/EgCY2SSAfwbwe5vYTiGEEEII8QDm/mwT9kJ3f/uZD2Z249ovzawO4C0A3ubub1y/s5ldB+C6NUX5p/7gursuTFPF/ZBJAMsXuxHiPkP9vbVQf28t1N9biz2bcZD7coF7GMDlaz4fLMs2ymsAHHH3l0VfuvsrAbzyzGczO+Lul5xHfeIBhPp7a6H+3lqov7cW6u+thZmdi+z1XrkvbcL+GsCTzGyPFSrv5wH4i40cyMx+BcA+AD+1ie0TQgghhBAVYDNswl5brrYvAfAuM7t1zXevN7MnAYC7fwnAiwF8GMCtAI4DeO0Gq/1VFE+DP1a+aPYP53MOQgghhBCiOpy3RMHdn5v47ifWfb4BwA3ncMxrg7Jnr/n3RjyxXnnvm4gKof7eWqi/txbq762F+ntrsSn9bX6BfciEEEIIIYS4L1GqXiGEEEIIUSm0wBVCCCGEEJWi8gtcM7vSzP7FzL5gZv9mZldd7DaJzcPMRs3s7WX/ftLM3mNmV5Tf7TKz/2Nmt5jZZ8zs2y52e8XmYWbPMTM3syeXn9XfFcTMRszsD8p+/bSZvaks19xeQczsiWb28fIF8s+Y2bPKct3fFcDMXlVmoHUzu3pNOb2fN3qvV36Bi8Kp4XXu/mAAvwHgxovbHHEBeB2Ah7j7owD8LYDXl+UvB/Cv7n4lgOcAeLOZxcnfxQMKMzsI4L8B+Nc1xervavJyAA7gwe7+dQBeVJZrbq8YpYXomwA8292vBvC9AF5rZlPQ/V0V3grgW/C1mW2B9P28oXu90i+ZmdkuFJZk2929X948dwH4Fne/Nb23eCBiZtcAeKu7HzSzZQBXuPvR8ruPArje3d97URspzgszywC8G8AvAHgFgN9197erv6uHmU2gmLMvcffFNeWa2ytI2Y8nAHyfu3/AzB4J4B8BHAJwCrq/K4OZ3Qbgye5+U+p+BrDIvru3e73qT3AvBXCXu/cBwIvV/GEABy5qq8SF5OcA/K2Z7QDQODMZltwG9X0VuA7Ah939388UqL8ry+UoFjbXm9nHzOyDZvZ4aG6vJGU//hCAvzGz2wF8CMCzAExB93eVSd3PG77Xq77AFVsIM7sewBUAfulit0VcGMzsEQCeAiBM0S0qRx3AZQA+5+7XAHg+gL/EfZtmXtxHmFkdwC8D+H53vwzA4wH8KdTfYgNUfYH7FQB7y5vmTPjjAIrVv6gQZvYiAN8P4LvdfdXdTwLom9meNZsdhPr+gc63oujHW8oQ12NRaLB/EOrvKnIYQA7gzwDA3T8B4MsoFr2a26vH1QD2ufsHAMDd/w3AEQCPhO7vKpNaq214HVfpBa673w3g4wCeURY9BcARabSqhZldB+BpAL7T3efXfPUWAM8rt/lGAPsB/PN93kCxabj7q919r7sfdPeDKF4y+0l3fzXU35XD3U8AeB+A7wIAMzuEQo/5YWhuryJnFjMPA4DSEedyADdD93dlSa3VzmcdV+mXzADAzB6C4o27HSjEys9x909f1EaJTcPMLkExKX4JwFJZ3HH3x5jZbhThrUMAugB+xt3/6eK0VFwIzOz9uOclM/V3BTGzBwH4YwBzKJ7m/pq7/7Xm9mpiZk8DcD2Kvs4A/Lq7v1n3dzUws9cC+B4AewCcBLDk7lek7ueN3uuVX+AKIYQQQoitRaUlCkIIIYQQYuuhBa4QQgghhKgUWuAKIYQQQohKoQWuEEIIIYSoFFrgCiGEEEKISqEFrhBCCCGEqBRa4AohxBrM7Kbyv8+Z2WDN5780s18zsx+5gHVfa2atsr5dF6qeIdpy03ns/0PlNZzfvFYJIcS5ofzOQgixBne/GgDM7CCAm858vg+5+SLUuem4+1+a2UcA3HSx2yKE2HroCa4QQpwjZnajmb2g/PdLzOyvzOzvzOwLZvZOM3uEmb2r/PznZpaV206Z2Q1m9lEz+5SZvc7MmudY5y+b2efXPEm+rCz/MzP7WHm8vzezPWX5QTObN7OXmtnHzewWM/tmM/udcv/PmNkjym2vLT+/sfz/v5vZ1aQd32VmHyq3+aiZfXtZfqWZfdjMPmlmnzazl53vdRZCiPNFC1whhNg41wD4UQAPATAF4PUAngrg4QAeBuC7y+1eAeCD7v5NAB6FYu79uXs7uJltA/AiAN9QPtX9DwCOlV+/wN2vcfdHAvgggJes2XUGwL+7+zcAeDmAdwF4R3mMNwB48ZptrwLwBnd/BIDfAPAXZmbr2vGg8vhPdPdHA3g6gDeb2QiAnwHwTnd/lLt/HYBX3tt5CSHEhUYSBSGE2DjvdvfTAGBmHwfQcfel8vMnAFxZbvdkAI8zs+vKz2MABudw/EUAtwB4k5m9G8Dfu/uR8runm9kzAYyW/51Ys1/b3d9e/vtjAJbd/Z/Kzx8FsFZHfJu7vw8A3P2vzOx1AC5d147/DOAKAB9Ys/bNARwA8AEAv2VmkwD+GcB7z+G8hBDigqIFrhBCbJz2mn8Pgs9n5lgD8BR3/8IwB3f3gZk9FsWT22sB/KuZPQ2AA3g+gMe5+91m9iQAv7Zm1845tiustvxvLQbgPe7+9GD7W8zsXwB8J4qnuS8A8MR7OTUhhLigSKIghBAXnrcD+AUzqwOF9MDMrri3ncxsCsBud/+gu78UwIcAfD2AbQCWAJwstbzPPY+2HVyjp30qCgnEkXXbvAvAE8zskWva9k3l/68EcMzd3wjgfwJ47Hm0RQghNgU9wRVCiAvPC1FoYW8ysxxAH8Vi8NZ72W8GwFvNbALFU9VbUGhoVwE8A8DNAE6ikAXs32DbPgvg2Wb2KgBdAE9zd18rw3X3W83s6QBea2bjAJoAPoFCi/tUAM8wsy6KhybP22A7hBBi0zD39ZEoIYQQFwMzuxbA795XNmEXur41VmuzF+L4QgjBkERBCCHuP3QB7Lg/JHo4X8zshwD8He5xfRBCiPsMPcEVQgghhBCVQk9whRBCCCFEpdACVwghhBBCVAotcIUQQgghRKXQAlcIIYQQQlQKLXCFEEIIIUSl0AJXCCGEEEJUiv8PF9OY9Rl2RMEAAAAASUVORK5CYII=\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"Finally, you can experiment with different wavelet widths to see the effect of the time-frequency trade-off. In general, increasing $\\beta$ allows you to have better frequency localization, but you loose temporal localization.","metadata":{}},{"cell_type":"code","source":"wavelet_width_list = [0.5, 1.0, 2.0]\nscalograms_list = []\nfor wavelet_width in wavelet_width_list:\n cwt = ComplexMorletCWT(wavelet_width, fs, lower_freq, upper_freq, n_scales, border_crop=0, stride=1)\n np_scalogram = cwt(prepared_signal).numpy()\n\n scalogram_real = np_scalogram[0, :, :, 0]\n scalogram_imag = np_scalogram[0, :, :, 1]\n scalogram_magn = np.sqrt(scalogram_real ** 2 + scalogram_imag ** 2)\n scalograms_list.append(scalogram_magn)\n\n# useful for y-axis specs\nfreq_pos = np.linspace(0, 1, n_scales)\nfreq_val = cwt.frequencies[::-1]\nidx_useful = [0, n_scales-1]\nchosen_freq_val = freq_val[idx_useful]\nchosen_freq_pos = freq_pos[idx_useful]\n\nfig, axes = plt.subplots(4, 1, figsize=(10, 7), dpi=80, sharex=True)\naxes[0].plot(demo_signal, linewidth=0.8)\naxes[0].set_title(\"Demo signal\")\n\naxes[1].imshow(\n scalograms_list[0].T, interpolation=\"none\", aspect=\"auto\", \n extent=[0, scalograms_list[0].shape[0], 0, 1])\naxes[1].set_yticks(chosen_freq_pos)\naxes[1].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\naxes[1].set_title(r\"Magnitude of scalogram with $\\beta$ = %1.1f\" % wavelet_width_list[0])\n\naxes[2].imshow(\n scalograms_list[1].T, interpolation=\"none\", aspect=\"auto\", \n extent=[0, scalograms_list[1].shape[0], 0, 1])\naxes[2].set_yticks(chosen_freq_pos)\naxes[2].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\naxes[2].set_title(r\"Magnitude of scalogram with $\\beta$ = %1.1f\" % wavelet_width_list[1])\n\naxes[3].imshow(\n scalograms_list[2].T, interpolation=\"none\", aspect=\"auto\", \n extent=[0, scalograms_list[2].shape[0], 0, 1])\naxes[3].set_yticks(chosen_freq_pos)\naxes[3].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\naxes[3].set_title(r\"Magnitude of scalogram with $\\beta$ = %1.1f\" % wavelet_width_list[2])\n\naxes[3].set_xlabel(\"Time [samples]\")\nplt.tight_layout()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-07-26T01:17:00.840203Z","iopub.execute_input":"2021-07-26T01:17:00.840664Z","iopub.status.idle":"2021-07-26T01:17:01.935071Z","shell.execute_reply.started":"2021-07-26T01:17:00.840623Z","shell.execute_reply":"2021-07-26T01:17:01.934327Z"},"trusted":true},"execution_count":17,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"The trade-off is better observed with the following synthetic signal that is based on a 13 Hz oscillation.","metadata":{}},{"cell_type":"code","source":"n_samples = 1000\ncentral_freq = 13 # Hz\ntime_axis = np.arange(n_samples) / fs\noscill = np.cos(2 * np.pi * central_freq * time_axis)\nwindow = np.exp(- (time_axis - np.mean(time_axis)) ** 2 / 0.1)\nsynt_signal = oscill * window \n\nprepared_synt_signal = synt_signal.reshape((1, -1, 1)).astype(np.float32)\n\nwavelet_width_list = [0.5, 1.0, 2.0]\nscalograms_list = []\nfor wavelet_width in wavelet_width_list:\n cwt = ComplexMorletCWT(wavelet_width, fs, lower_freq, upper_freq, n_scales, border_crop=0, stride=1)\n np_scalogram = cwt(prepared_synt_signal).numpy()\n scalogram_real = np_scalogram[0, :, :, 0]\n scalogram_imag = np_scalogram[0, :, :, 1]\n scalogram_magn = np.sqrt(scalogram_real ** 2 + scalogram_imag ** 2)\n scalograms_list.append(scalogram_magn)\n\n# useful for y-axis specs\nfreq_pos = np.linspace(0, 1, n_scales)\nfreq_val = cwt.frequencies[::-1]\nidx_useful = [0, n_scales-1]\nchosen_freq_val = freq_val[idx_useful]\nchosen_freq_pos = freq_pos[idx_useful]\n\nfig, axes = plt.subplots(4, 1, figsize=(10, 7), dpi=80, sharex=True)\naxes[0].plot(synt_signal, linewidth=0.8)\naxes[0].set_title(\"Synthetic signal: windowed %1.1f Hz oscillation\" % central_freq)\n\naxes[1].imshow(\n scalograms_list[0].T, interpolation=\"none\", aspect=\"auto\", \n extent=[0, scalograms_list[0].shape[0], 0, 1])\naxes[1].set_yticks(chosen_freq_pos)\naxes[1].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\naxes[1].set_title(r\"Magnitude of scalogram with $\\beta$ = %1.1f\" % wavelet_width_list[0])\n\naxes[2].imshow(\n scalograms_list[1].T, interpolation=\"none\", aspect=\"auto\", \n extent=[0, scalograms_list[1].shape[0], 0, 1])\naxes[2].set_yticks(chosen_freq_pos)\naxes[2].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\naxes[2].set_title(r\"Magnitude of scalogram with $\\beta$ = %1.1f\" % wavelet_width_list[1])\n\naxes[3].imshow(\n scalograms_list[2].T, interpolation=\"none\", aspect=\"auto\", \n extent=[0, scalograms_list[2].shape[0], 0, 1])\naxes[3].set_yticks(chosen_freq_pos)\naxes[3].set_yticklabels(['%1.1f Hz' % f for f in chosen_freq_val])\naxes[3].set_title(r\"Magnitude of scalogram with $\\beta$ = %1.1f\" % wavelet_width_list[2])\n\naxes[3].set_xlabel(\"Time [samples]\")\nplt.tight_layout()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-07-26T01:17:32.717506Z","iopub.execute_input":"2021-07-26T01:17:32.718101Z","iopub.status.idle":"2021-07-26T01:17:33.401708Z","shell.execute_reply.started":"2021-07-26T01:17:32.718050Z","shell.execute_reply":"2021-07-26T01:17:33.400616Z"},"trusted":true},"execution_count":19,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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5nhMQ9Yx469swurvIiIHDQKMEREpC+7puZYu2KIUtF6tjQAmBlrVwyze7pzC8bu6XnWrBgCYGKkyL6Z7n02dk/Nc+b6iZ6tIiIicugowBARkb7cPzXPuhXDrB0bYs9050CgmjpJHMV2fLjA1FznVon9sxVWjoQR01eOlNjXowVjer7KhrWj3D/Ve34NERE5NBRgiIgI7t6zzK6pedauGGLNiu79KmbKVUaHCgCMjxTZP9e5tWNyrsKKoRBgTIyUuo46VammFBJjYrjI/i5Bi4iIHFoKMEREjmJp6rzmY9/jsuvu6Fl2z3SZNWMl1owNsbtLgDE9V2HFcAgaVgwXu7ZgTM1VGM9aMEaL7JvpXHbvTJlVoyXMjIIZlR6jU907Ocu377i/axkRERk8BRgiIkexm++Z5Ku33MdN2/d2LefuVFOnWEhYMzbEri79KvbnWyV6tDbsn60wPpxPkercgrF7OrSgAKweG2J3lzQtgM/ftIMX/fN3uHnHZNdyIiIyWAowRESOYlt2TfOEs47l1nu6P4RPxWFnAdauKHV9uJ+er7Iill3RK8CYqwcYEyPFrilS9++vdwjvZ/jbW+6Z5AHHruDGrRrSVkTkYFKAISJyFNu6a5qHbVjF5Gyl64R4u/bPsy4+3K9Z0T1FamquwthQPUVqf5eO2/tz6VQrR0tdU6R2T8+zdqwEwLoVQz07et9yzyRPfeBxbNk13bWciIgMlgIMEZGj2NZd05y8doxT1o2x+f7OD+L7ZkP/ByCkSHXrg5FrwZhYSB+MHi0Yu6bKtRaM1T1GsnJ3tuya5ufPWMeWXTMdy4mIyOApwBAROYpt3T3DxrVjHL9yhHsnO09el29pmBjpnvY0Nd/UgtGl7ORchfEsGOkxTO3+uTITI6W+6rBvpsLKkRKnHbOCLfdPdSwnIiKDpwBDROQotm33NBvXjPUcenb/bP8jQ03PVVnRMExtjxaM4VJf590/V60FI71Sr+6fmmPd+BDHTYywY59m/RYROZgUYIiIHMX2zVRYOVpkXY8AY2q+3hl7vEerxNR8hbFc2e4pUvV0qrGhAjPlznNmTOf6dvQ67/1T86wbHyZJjOFigdku5xURkcFSgCEicgS6e+9Mz8nz0tQxAzNj7Yrh7i0YuaFnewYYuXSq8eEik91SpGYrTMQWjNFSgen5zoHAVK5vR6863N/cKb3LsLoiIjJYCjBERI4w7s5F7/s6f/X5n3Utl++4vbZXC8ZcpXHo2S7pSVPz9RSpsaECM92Chqbzdk29mm9swegWYGSzjgM9W2ey8n/1+Z/2NaO5iIh0pwBDROQIc/vO/ZywepTP/uCuruV2Tc2zZqw+r8T9XVswqrUUqRVDhR59MOqBgJnR7Zk9Pw9GrxSpqVzZXsHI/fvn6i0YPUa9Anjrf/2Yj31rC7feu79rORER6U0BhojIEeabt9/PE886lvGRYtf5KvIzY69dMcSu/b1aMMLDfbGQUO0SNeRTmQDM6NgyMJ3rrzFcTLr2lZiaqzI21GeKVOyDAf1Nyvej7Xv5zUdu5Gu33te1nIiI9KYAQ0TkCPPTHZM89KRVnHXcBLd0maE7zCtRn7iuV4pUNl8FgGHdg4ahetnhYsJcpf0kfrPllNFSCBrMDMM61mF6Pte3o8foVPkUqV4tGLPlKnOVlAsefDzf3bSrYzkREemPAgwRkSPM1l3TbFw72jPA2D01z9qYIrVypMS+LpPcTebSkwBGhwrMltsHDfmRoULZzulM1dQpJI1BRafAZWq+3oKxYrjA1Fzn1o5dU/VO3ut6zDx+2737OWP9OKcds6LrZIMiItIfBRgiIkeYbbtn2LBmjFN7PDDvmp6vzYydJN37SkzlRpGC8IA/Odc+IJmebyw7NtR9dKi8kVLSMXDJ9+2YGC51n2gvP/P4iu79S27fuZ8z149zzPgQ9+2fU0dvEZEDpABDROQIkqbOdJyzYv3EMPdOznUsuzvXyRugVDTmKu0DgammFowVQ8WOLQj756q1VCbo3Hm7XevF6FCR6fn2gUPq1MqPlJKuo1NNztZTutauKHVNkbp77ywnrBrFzFgzNsSe6c4tOSIi0psCDBGRZeLmHZNs6ZHCc+/kHOsnRgBigNF5Fuu9M2VWjZVq6xPDJSY7DD+7vyntaWKk81C1oQ9GLkWqw/wWM+UqI6XG/4Y6tXY0tyqYde6rATAzX6317VjdI2i4Z98sx60M79nGtaNs3a00KRGRA6EAQ0RkGdg/V+EVH7me133y+6Rp5xSebbun2bBmFID1K0e4d1/nFoy9M2VWjtQDjJWjxY4BRn4UKYhzYXRIUZorpwwXk4ay7VolZuarjOYCEegcYMxXU4aKjf9lJRZaQTrJgpDVoyX2zHQOMO7dN8dxK8OIUxvXjrFlV/cA4z9v3M5vXf4tKtX2qVwiIkc7BRgiIsvAdbfs5OdPP4bhYoGf3L2vY7l79s3Vvo0fHy527fuQ76cAsaN3hwfx+Upr0NBtHop8C8Noh8n2ZuarjJWKDdtCgNF63qmmtKtaHdqUnatUKRXr11852vn3gsYWjBNXjbJjb+dWn2rqvPuamxkpFbi6xzwjIiJHKwUYIiLLwHfu3MVjT1/HI09dww+27elYbufkLMdODNfWR7tMirdvpsLK0fpD+0SPkaTyQcOKoQLTbfpVpKnTnL001iFFarpcaWnBWDFUbBuMhE7mjWXHO6RpTc5WmBiuB06lQkIl7dzacE/uPVu/cph79nUOMG69d5JT1o3xosecwtdu05wZIiLtKMAQEVkGvn3nLh516loevnE1P9i6p2O50AejHmAc26Wjd78pUuVq2r4zdpvAZabcPu2pUwtG1k+ift4CU+2CkflqbUK+zHiHVpTJ2QoTI41li0lCuU1Kk7szX0kZifVYPzHStWP897fs4dyNazj/1DVcv2m3RpwSEWlDAYaIyGFuvpKyd3qe41eN8LANq/nhtr0dy947Ocf6mO4DIcDY2eGBOf9gDZ1TpJpHkILQgtEuEJhqGqIWOo8MNZOb1yLTMUVqvrUFY8VQkcm2AUaZiVzgBLBqtMTeNr/b3pnGNLH1K4e79lv5/pbdnLNxNRMjJSZGitzTpayIyNFKAYaIyCF0/aZdfL1Hqs3m+6c4Zd0KAI4ZH2L39HzHb86bWzA6zdDd7viJkWLbFKn9c5WGEaQga5VofbifbhptKivbqVVipCXAaN9vZLpNH4zxkfYtGPtnK6xsasFYPdY+wLh/ap51K+rv1/qJYe7pMvLWrffu5+dOmADg7OMmuO3e/R3LQpglvNOwuyIiRyoFGCIih8jtO/fzfz/1A/70Mzdxa5cZt2/fGWaahtAPolsaz87JuYY+GGvGQkDSrF3QsHK0/TC17TpYjw0V2wYN++fatWB0SJEqVxkr9TeK1P52fTA6pEjty82BkVk1Wmo7VO3uqXnWrqjPBdLpnJm794Q5MwBOXz/Orfd2/twq1ZTnfeBbPOnd13LnfVMdy4mIHGkUYIiIHCKX/e/tvP6pZ/H7TzmTD31zU8dyt927n9OPXVFbP2XdGJs6PLDunppnbW7yvLUdWjD2zVYaUoOgc4rU/jYpUp36VbTrK9EpaGibIjVcbN8yMl9p2wejXUAUUqRaWzDa/W73NwUYZhbn7Wg9797pMuMjxVp/lDPXj3NrlxaMz/7wbk4/dgVv/tUH8TfX3NyxnIjIkUYBhojIIZCmztdvu58LHnwcT33QcVx7886O81vcvnOKM9ZP1NZPWTfG5jYT7lWqKYlBkuuQvXbFELvbBRgzZVa2BBjtH9ib58CAEAi0+6a/XV+JMJN3+6ChJUWq1KlvR7W1D0bXTt5Nv9toiT0zre/D7ql51uQCDIgdvdv0rbjz/ilOXVcP9M48boLb7ukcYPz3TXfzG4/YyDMecgI/3L6HPW1akkREjkTLMsAwszPN7BtmdouZfdfMHnyo6yQiAuFb+bf+14+5+JM3tm05yPxg2x7OWD/O2FCRlSMlTl47xs92tE+3ue3e/Zy+PteCsXYFm3e1tmDcPzXPMbn0KOjcgtE8ghTE+SLa9MHo1Mm73TC103NVxppTpErt+1XMlNO2KVJtW0baBDnjw4W2k/21G0Vq9egQe9ukSIU+GE0Bxsr2I29tum+K044Zq61vXDPKll3TbfuzzFWq/Gj7Xh512lqSxLjgQcdzzY93tJTLuDsf+/ZmPnDd7cy2eV9FRJaTZRlgAJcBH3D3s4C/Bq44tNUREQkPiX985Q8pJsbDNqziVR/9XsfO2P/zs3t5ygPX19Yfccoabmwz/Ky7c8++WY7PjQy1Yc0o23fPtJS9d98cx443BhhrxobY1eab831NoydBliLVptN0m/4ao0OFtsPUTs237xDePkWq0hKMjHWY9XuqTd+O8ZEi++daz9tpFKl2s3l3bMFo09F72+5pNq6tBxjFQsLqsRL3twngfrR9Hw85aVUtneppDz6eL/7k3pZymb/70q1cd8tOtuya5vc+fkPX2dpFRA53yy7AMLP1wPnAR+OmK4GNZnbGoauViBzJbr1nkj/9zE289mM38D8/u6djuS//9F7u2z/HG5/+QF76C6excqTIF3/SvvyXf3ovTz67HmA8fEP7+S127Jvl+FUjDZPcnbh6lLv2tD4A79w/y/qVrS0YbVOkZhsn2YNeo0g1t2B0Gu2pNWhYMdy5v0brKFKdU6TGhluHqe13HoxOo0jtatOCcdzK4bbDz27fM8NJq0cbtp2xfpxb26RJfX/Lbs49eXVt/byTV/Pju/a2bZ3YO13myhu28bfPO4e3XfQQhosFPv6dLS3lMrfdO8nbP/sT3vG5n/KzHZ1ndRcROVSKvYscdjYCd7t7BcDd3cy2ACcDt3U6KHXn7r2t3/g1M6x3md5F4rkGVejg18v6PFl/5+rnPIOr/HJ+H8K5BvdZ93W9AX4+/Z2rP/289wY4YT6HqfkK03NVpssVpuaqzJWrrFkxxHErR1gzVqqdL02dW+6d5Lt37uK7m3YzW66yce0Yv/KwEzh34+qG66ap86/f2MRHv7WZ33/KGRw3McK7rrmZO3ZO8fLHP6ChLjPzVd7x+Z/ygRc9otYH4vd+8Uz+6nM/5YIHH99QdsfeWaqpN3wb/vCNq/mbL7R2BL7t3v2ccex4w7bjV41wV5u/Z/fum+PYiZGGbWtWlNq2YLRLkZro0gejubWjU6vE1Hy1ZYjYjvNgtBlFarTUKRjp1ILRJsCYK7fUYdVoqW2K1K7pedaMtaZItUtX27Z7hpPWNAYYZ66f4LZ7J3ns6esatn9/6x5e+OhTauvFQsIjTlnDt+/cxRPPOrah7Ee/vZlfP29DLTB760UP5ln/+HWe+sDjOH5V4+f55Z/ew19+9ie89kln4Di//2/f53FnHMv/veCsliDwtnsn+X8/2sHPdkwyXCxw8toxzjtldW0ej7xKNWXX9Dz3Tc6za2qeYsGYGAnpexMjRcaHi5gZlTSlmjqV1KlWnap7bR3Cv0mz8Dej1z/h5TBHobMMKimySEOFpWtnWI4BRl/M7GLg4my9NLGWV3/0hq7H9P1npM+/iv2er98/sv38oev7XH1fs9/zDfaPcD+n6/cP/6H6Xfu/nwZ3rkHXbZD3Zr/nW+it5O4MlwqMlgqsGC4wNlRkxXCBoULC7uky9+ybZc90mUJirBwtsWtqjgccM86jTlvLc8/fyPhIkVvumeQ9X7iZXVNlXvzYU3jcGcewfc8M777mZjasGeWq1/wCq8bCA9lHN67mhR/8NiOlAi98TP0B8h+vvY0LHnR8Q2fsh29YxfR8lVvumeSs4+rb/+dn9/KLufQoCBPiTc9XWzpU337vfk5f3xhgjJQKVNPwYJefYfvepiFqAYaLBeYrrTNY75spc0LTw2uxkFBtk5qzf67KiU3f3I8NF5nqkMqUT+eC0HG731GkVnRMkWozD8ZwhwCjTSfvThPt7ZqaZ914a4rUdbe0zk3SrgXjzOPG+fYd97eU/eG2PTz8OQ9r2PaLP7eer/zs3oYAY7Zc5RPf3cJVr/mF2rZjxof5P794Jm+5+sdc+qJH1LZ/8Sf38Fef/ykf/Z1H14LTXzv3JP7p2tt55j98jT94ypn83AkT/Gj7Pj51/Vb2z1V41rkn8cLHnEK5mnLHzimu/N423vyfP6aQGCuGCsyUq+ydKVMwY+34EMeMD7N2bIhK6kzOlpmcrbB/rlILPAuJUUyMQvwpFoyCWS2odo9/Xzz8Vej5NcEgvy1ZIod/DUUW5+EbVi3ZuZdjgLEVOMHMiu5esfB148lAQ3uyu18CXJKtb9iwwa967S8gIken+UrKnpl5jlkx3DDKEsA5G1fz3PM3ctu9+/notzbzqeu3csz4MH/wlDN5QtO3zePDRT70skfxWx/8FhMjRS465yRu3LqHz/7wbv779x/XUNbMeOFjTuZj39rMWy96SG37l396D6960uktdXzoSav40fa9PPoB9W/Db9u5n8edcWxL2fVxhu78N9w7J+c4+/iJlrJDxYTZcrVh1u59s+W2ZRMLLTf596jdKFKjpQKzHdKe2vbXWECKVNuWkblK22Bkf9thals7pXfqg7FrqrUF47iVwy19MNydqbnWwOXM9eN89FubG7bt2DvLxHCpJVXsSWev571fvhX3B9Vayq76/naeeNaxrGvqO/Mbj9jAf964nY99ezMvePQpfOHHO3jn//sZH/mdRzcEOcPFAq976lk882En8i9fv5P/+P52HnDMCt70jAfysA2rGlrkHn/msbzk508FQlrWbKXKSLHAytFi3621InJk+cslOu+yCzDc/V4zuwF4IaFz97OBbe7eMT1KRGSomLC+KX2o2Rnrx3nLhb0HpVs1VuKKlz2Kl13xHT753a1s3T3NpS98RMsDJcCvPvxE3vvl2/ijXw4P6Xtnytx8zyTnnbympezDN67ixq17GgKM2++d4qXxoTDvxNWjbN8z0xBg3Ds529KCAbB2bIg902WOX1V/QG+XIgUh7WiyKSWq3ShShcRo1w95qk0fjOFi0rYVZabcZh6MjqlX7UaRat+K0mkejHYtGOVqylCxMU3g2DbD1Ib5Mlrf21PWrWiZk+TGrY39LzJrVwyxYc0Y39+6h/NOXkOaOv/8tTu5/MXnt5Q1M97/W+fxio98j8uvu4OVoyU+/NuPamlByZyxfpx3POuhbfe1s2qsxCpaP38RkUFYdgFG9ErgCjN7E7APeNkhro+IHGWOnRjmqtf8Aj/bMcmpx6xoeQDPjA0V+aUHHcdVN27nBY8+hWt+tIOnPvC4htSmzDkb13DFN+5s2Lb5/ilOyc29kAkdvWd4xCn1QGXn5Bzr2wQYa+JQtflgZN9Ma78KqE+2l9/XrpN3J+1aMDp9Oz4zX2Ws1DpDeLvRqaY7zIPRLkUqlG2TTtXU2jEz39iqk1nZprP79t2t6VEQAtcVw0X2TM+zOraE3LBlT9sAEkJK06eu38p5J6/hCz+5hzOPG+fUY1o/X4DVY0N88hWPYW/8PNTKICLLxbIbRQrA3W9298e6+1nufr6733So6yQiR59iIeEhJ63qGFxkfvsXTuPy6+7gvv1zXHbd7bz4sae0LfeQk1byo+31UYH2TM8zOlSg1KYjXhZg5O3c39oHA+JIUk0dvffNlltGkYL2Hb2n5iuMD7c+iBcL1tIyMdVm6NlMcx+hmXKVkaHG361ry0jzZH8dOoS705IGlz2c5+uwa7pxFu982eFioWHEp+17Ztiwpn3rwVnHT/DTu+udwptHkMr71YefwLfv2MWXfnIP7/p/P+N1Tz2rbbl8XVaPDSm4EJFlZVkGGCIiy8nJ68b43Sc8gCe/+1qede5JPKBpVKjM2FCRsaECO+Mkb9lcCu2c1BRguDvzlZThYmsgsHZsqGWuhn0dUqTaTba3f7Z9C8aKoWLLA/70XGvrAcBwKWGuKRiZ7hKMNAutHY2/W5JYy6AA5WratnUIQl+QmVzQsGt/6xC1mayPS6ZTCwaEjpI/3Landv1tu2c4rUOrxHCxwCXPO4crvrGJiy84q6Hzv4jIkWK5pkiJiCwrL3j0KTz/kSe3fLPe7JyNq7lhy26e9uDj+eH2PTy0S4CxPTcXxr7ZStuAAUKKVPNcGO3mioB6ilRepxSp0aECU/OV2ghb0H6iPQidwqebUpJm5quMtklRKiRGpZpSzLXcpG1aJSAMQpTvlL6/w+8FsaP3dLkW1Nw/Nde2BQPCULX37Jutjda0fc8MjzptbduyD9+wmg9/M3T0/uG2PTz4xJVdWxzO2biaj7780R33i4gsd2rBEBE5SHoFFwC/cMYxfO3WMETqTdv28rANq9uWO3H1SEMLxs7J1kn2MmtjH4y8auoND/CZdilS7fo0QJhAr7lDdrsRpyDrvN143tRp29owNlRgOtfS0G345dGmsp0CJ2gdqnb3dOss3pkwm3e9BWNblxaMh5wUOue7O9fevLNlngsRkaONAgwRkcPIL5xxDF+77T5my1V+sHUPD+swTnlz0HDv5BzHjrcPMNaMNfbB6JZG1C5FKnXvEAi0zlkxW04ZLrb+1zLWJp2q05f8Y0ONfSvmKinDpfb/XY0PN87mPTlXbhlKNrN6LLRgZO7vliK1cph799VbiLbvaZ1kL7NiuMgDjl3B9zbv5os/uYcnnb2+bTkRkaOFAgwRkcPI2hVDnLJujD/9zI94zOnr2o5yBKHz7/hIsTY79c7JOdavbD8M77rxxj4Y4Zv79g/hK0dKDS0Y7t5xJvdOQ8q2Sw8aGyowlStbTb3jBGajQ4WGoGFqrnUW78yKocaRpBbSgrGrw9CzAMevHOHuGGC4O7um5joGIwDPecQGXv/vN3LquhUNM7SLiByNFGCIiBxm3vj0B7J3psxrn3xG13KnrlvB5l1hDoYt90+zscM37GvGGvtg7Jkut0wul5kYKTb0wZgpVxkdah/kNLdgpKl3bZXIl50tt06yl1kxVGwIXNoNfVsr29yC0WaSvczq0RJ7Z+rvw66pzi0Yp6wbY/N90wDcs2+O9RMjXftVXPjwE3n7rz2Uv7yo9zwqIiJHOgUYIiKHmbOPn+CDLzmf0zuMNpU5dd0Yd8ZJ3jbdP912vgxoTafaPVWfs6FZc4pU6ODdKcAoMDVXDwRmK+07bQOMNqVITc+3TrJXL9vYMtJt6Nvx4UJTC0bnFKmVbVsw2r8Pp65bwab7w3t7531THeeqyJgZTzzr2I6tSCIiRxMFGCIiy9Qpx6xg8/3hW/Ytu6Y4tUOA0dq5ucyasU4pUo2dvKc6DDsLsKKpr8TUXJWxLsFIPmhoN8leY9mmOnRtweivk/fqOKN5pluAkc0dkqbOnfdNdRx2VkREWinAEBFZpvItGNt3z3Di6vbfnofJ67w2GlN+1ulmEyNNLRhdUo7GhotM5QKB6fnOfSWaO27PdEmRau4Q3q0PRksn79kyKxfUB6P9+2BmHLdyhHsmZ7nlnklOP1YBhohIvxRgiIgsUw86YSU3bd/L5GyZ4VKh7bCzmfHhemfori0Yo0X2zdQf2DvNgQGtrRLdyo42tUpMz1daJs7Ln3eqIZ2q83lXDBeZbOnk3WUUqVyA0S1NC+DM9RP85K59XL95F+ef2n4ODBERaaUAQ0RkmVo3Poy78/mbdnDeyWu6ll27YojdU+Hhevf0fMdO3mEUqfpDeKd5LaC1k3e3B/axUuN8FTPzndOpVgwXmWlKkep03vHhIvtzKV37eowilXVgr8Shert13H7i2cfyXz+4i30zlY5zYIiISCsFGCIiy9gjT13L33/5Vp50dvfJ3daMDbErzoUROnm3/5Z/uJgwW05r6/tmy6wabV+2uQWjWypTc9rT/i5ls1m/M91aMFaONgZE++e6tGCM1ufB2D1d7jhUb+aJZx3L527awTMeekLXciIi0qj9X2wREVkW/s9TziRJjCf2CDBCC0YMMKa79z2AOP+FGftmyqwc7ZIiNdc0MlSHVonRphGnupUdGypw195cK8p8lRUdWjCa+1WEUaQ6d/LORtPaNdW5FSd/7q/98ZM1MpSIyAKpBUNEZBk7afUo73jWQ1nZ4Vv7zDHjw+ycnAPg7r2zHN/loXl0qFBrxdg3W+l47rGhYkPaU/cWjAIz5VzaU7cO4S0pUhXGOrVgjBTZN9vfPBhDxYTUnUo15e69M5ywqnfgoOBCRGThFGCIiBwFTlozyrY9MwDct3+OY8bbz2AN2UN7aBUILRidU6TyIzh1b5VomjyvS7+KsVJz6lXnoXJXjbW2YHQLttavHOHeyTm27p5hwxrNuC0ishQUYIiIHAVOWj3K9t0zzJarDBUTkqRz5+Z8v4Z9XYZ9nRgpNkxyNzXfZUjbNpPndew8PtxYdnK2zHiHOqwcKTXMPL5/ttKxLMBJq0e4e+8M23ZPs3GtOm6LiCwFBRgiIkeBDWtG2bZ7mh17ZzlhZfcH64mRInvjULX7ZiodO3k3j+AUWiX6mwdjIaNThY7bvUeGcndSD/N+dHLCqlG275llm1owRESWjAIMEZGjwImrR7lr7wx37Z3hhA4T8mVW5ibb29slRWp8pMjkXOMITp06YzfPg9Gt43Zza8fkbIWJLi0j2WR/M+Xu81pAfB/2zLBt1zQb1qgFQ0RkKSjAEBE5CoyUClSrztZd05ywqvuDdUiRii0YXfo0DBcLlCteW5+erzDaZXbuxj4Yla6tHQ2zc3cZejY/6tWuqXnWdBgdK/OAY1bw47v2sWPfLMdNqAO3iMhSUIAhInKU+LkTVnL5V+/kvJNXdy03MVyspR3tm+08TG3GPQQZk7OVrh3CZ/IjTs1XWdGhQ/jESKmhb0e3PhgQ5s2YLafsnir3HHr2saev49qf3csjT13btR+KiIgsngIMEZGjxIUPP5Htu2d4wlnd58xYOVpPkSpXnOFi57SjkVLCXCUb0rZzh/AwgV9jH4xOLRgTbfp2dEqnytf3/qk51vaYPG+kVOBZ553E8x91ctdyIiKyeJpoT0TkKPG0Bx/PSClhpNS9n8LK0SI79s2Spt61HMR+GLMVRkqF0ILRI5Up060FI0mM5ks3H5+3arTE7ul5dk/3TpEC+MuLHtKzjIiILJ5aMEREjhKjQwV++SEn9Cw3MRxGZtrVZcbvfNnJPubMyGTpVN36YEAYCapcTalU066jQgEcv3KEe/bNsWuqzNoeKVIiIrL0FGCIiEiDkHJUYcfeWY7vMdv1eG4ujNlyynCx838rw8VCLZ1qussoUlkdJmcr7J/rPLdG5oRVI+zYO8Puqd4BkYiILD0FGCIi0mDlaOjk3U+AMTEcUqSyloluqUz54WcraUqx0Pm/oJUjoQ6Ts53nwMgcv2qUu/fOct/+OdaNK8AQETnUFGCIiEiD41eG2a537Jvl+JU9AozYB2OmXO04RG2+7P7ZSl99O7KO25M9ZuaGrAVjljt2TnHaMeM9zy0iIktLAYaIiDRYPTbE5GyF7XtmegYYWYpU6ODdPRBYPTbEnpl59s93ntciMzFSZN9MJc7i3b3scStHuHvvLFt3T7NRk+eJiBxyCjBERKTFxjVjfPfOXT1TpFaOlNgzPd9XB+/VoyX2TJfZO11mdY+y2Wziu6fne5Y9YdUIP9uxj4mRYte0KxEROTj0l1hERFqcvn4FP9i2h1PXreha7tiJYe7bP991xu/M6rESe2bK7Jkus3qsR4AxGkayundyjvUTwz3P+4Bjxjn9WKVHiYgcDjQPhoiItDjv5DWsXTHEyevGupY7dmKYr992P/tmenfGXj02xN7pefaMlVg12r0z9sqRIvtmy+yfq3Jij1YUM+O9zz+X+6fmupYTEZGDQwGGiIi0+I3zN/ZVbv3ECDv3z3H/1Dyre8xBsWq0xO6p+b5aMI6dGOZH2/eyf67Kwzes6lmPYyeGObZHS4eIiBwcSpESEZFFO3ZimJ2Tc2zfPcOGHh2ssxSpvTO9+2BsWDPK1l0z7JycZf1E9xYMERE5vCjAEBGRRQsdt+fZtnuajWu7p1OtHh0KnbxnerdgbFwzxtbd0+ycnFPLhIjIMqMUKRERWbQkMRIzNt8/3VcLxt6ZefZMl3oGI6Hz+BzFJNHkeSIiy4xaMERE5ICsGx/ix3ft5aTV3QOMVXGY2j3TZdb0aMEwM1YMh+/AShp6VkRkWVlWf7XN7FfM7HtmNmdmf3eo6yMiIvDs8zYwNlxkpNR9Ju9jJ4a5e+8sm3dNc8Kq3hPinX3cBP/3grMGVU0RETlIlluK1K3AbwO/AWjAcxGRw8CLHnMK5528pme5kVKBlaMlbr1nkgcc031+DYD3/9Z5JIkNoooiInIQLasAw91vATCzZx3quoiISJAkxkP7GEoW4KEnrWRiuNhX4KDgQkRkeVpWAYaIiCxv5568pud8GSIisrwdVgGGmX0TOLPD7nPdfesCznUxcHG2vmpVf9+uiYjI0nnu+RtJ3Q91NUREZAkdVgGGuz92gOe6BLgkW9+wYYP+RxMROcQKiVFAqU8iIkeyZTWKlIiIiIiIHN6WVYBhZk8xs22E1KffMbNtZnbhoa6XiIiIiIgE5kdJLqyZVYAdh7oesiyNA/sPdSVk2dF9I4uh+0YWS/eOLMbx7j7wLhOHVR+MJbbD3Tcc6krI8mNm23TvyELpvpHF0H0ji6V7RxYjZgYN3LJKkRIRERERkcObAgwRERERERmYoynAuKR3EZG2dO/IYui+kcXQfSOLpXtHFmNJ7pujppO3iIiIiIgsvaOpBUNERERERJaYAgwRERERERkYBRgiIiIiIjIwCjBERERERGRgFGCIiIiIiMjAKMAQEREREZGBUYAhIiIiIiIDowBDREREREQGRgGGiIiIiIgMjAIMEREREREZGAUYIiIiIiIyMAowRERERERkYBRgiIiIiIjIwCjAEBERERGRgVGAISLSgZl93sz+fAnOWzQzN7MnDfrcuWuUzOxjZrbLzPab2aqlulaba19rZm8/WNc7nPRzzyzm/TGzxMzeYmabzWyvmV1nZmccWG1FRJaGAgwROWzEBy83s1c2bZ8ws8m476A9VLn70939bU31Wy4Pzs8Bngyc6u7j7r73UFfoaJC/ZwZ8v7wRuBB4AnAMcD/wJwM6dwsL3mpmd5nZVAxoHtKl/FvMrBqD2ezn35aqfiJyeFOAISKHm58Ar2za9iJg8yGoy3J2OnCHu+871BVZCmY2dKjrcLCYWQK8Fniju2929zLh38mKJbzsG4DfBp5GCGi+DlxjZuNdjvlmDGazn+cvYf1E5DCmAENEDjf/BRxnZo/ObXs1cFm+kJm91sx+ZGb7zGyHmX3EzI7J7T/OzK4ysz1mdoeZvaA5LSl+w/z3ZvbxmHay1cxe3bT/7XH5UuDxwB9l39DG7ZvM7OVNdXMze2pufb2Z/UdWF+B5TeVHzOwdZna7me2O3xaf2+1NMrPVZvYBM9tmZvfF1Jyz474rgDcDj411/XyHc/xevOakmd0Tj8v2jZrZ283slrj/DjN7ST/v/ULqGvf3+1m9z8w+YWa7gff2cQ9ca2b/YGafjGW2mdlvmtlDzeyb8ff6Tr4uber+q2Z2V279JbFuF8X1Yjz343PXfHun+yVnotN918YDgfXAdfEaBvwycEOXYw7Ua4C/cfeb3H0G+HNgCHjWEl5TRI4QCjBE5HBTAT4IvArAzB4HrAT+u6ncDuDXgdXAo4GzgH/I7f84UABOAx4BPLfD9V4ar7cGeB3wPmuThuXurwK+Crwr+4Z2Ab/TR4Ex4AHA+UDzN7uXAo8CnggcC/w74dvi1V3O+RHgzHi+k4GbgS+Z2bi7vxR4B/VvlJ/efLCZnQm8C7jI3ScILR7/kityOXABcBHh/X8ccFPc1+u977uucX+/n9XLgA8D64CL+6zHi4D3xzLvBv4ZeCfhM1gHbAXe26Xu1wLHmNlD4/rTgFsJ7w3AY+LrN/MH9XG/vJQ+7rvoPOAn7j5jZscB7wM2AP/aqdJm9o8xYOv089kux64CTgW+k/t9KsD3gW6B77lmttNCP5GPm9lpXcqKyBFMAYaIHI4uB54dH7BfHdfTfAF3v9Ldb3H31N03Ex4aLwAwsw3ALwJ/7O673X038KcdrnWlu/9PPM+VwC7CQ+5AmNlJwC8Bf+juu9x9FyGfPtu/DngJ8Fp33+buFXd/H7AXeGaHc54Q973O3Xe4+zTwh8Bop2PaqAAGPNjMVrr7fnfPviE/BngB8Bp3/6kHd7n7DdD9vV9oXRf4WV3t7p+L153usx5Xuvt17p4CVxACvY+6+yZ3nycEN4/q9Ca5+yTwLeCC2HLwVELfh6fFIhcAX4kP4AuxkPvuPOB6M3sZIah6DXCZu9/Xpd6vcffVXX663Scr4+uepu27c/uafRp4EKGl5ecBpzGIFJGjiAIMETnsuPs24CuEPPCLCN86NzCzXzezb5jZvWa2j/At+VozKwAnxWL5fhubOlzurqb1KWDiAKrfbEN8vTO3Lb+cfWv97fw3zITfYQPtbYyvt2cbYl7+ZkILQU/ufifwm4RWgS1m9l0zy1pWsm+eb253bI/3fqF1XchnlX/f+q3H3bnlqQ7ben3eXyAEEucSHro/Q0hxOp0QPH6hx/HtLOS+Oxe43t3/FRgHfhV4fe7zGrSs387qpu1rcvsauPuPYv8Qd/fthP4bJxGCDRE5yijAEJHD1T8BbwI+7+75B8KsheJThHSYk919JSEVBsK38tvj8im5w/LLi5W22TZJrrOtmZ3YtH9bfD01ty2/vCO+PqzpG+Yxd39nh3psja+n565bJDywb+n6G+S4+3+6+y8TOvG+G/iYmZ1F/QH/rOZj+njvF1rXhXxWtfd/EfU4EF8k9Ke4CLjG3T1uex7wyLjctb6LFVtNzgG+B+DuU+7+WWAnXX5PM7vUGkd0av5p2y8nXmMv4R54ZO58xViP7/dZdY8/g/4sRGQZUIAhIoerawjfDr++zb5xwt+v+9x9NvYnqKUdxRaQa4G/stDBeDUwiOFCd9D60H098Px4nZWENJ2a+G3ul4F3mdkaM1tD6B+R7d8MXAW838xOgdqwvE+P6UUtYsD1OeA9FjpIjwJ/DczT2lelLTM728yeEftsVAgpWQBVd98J/FusU9Zx/AQzO48e7/1C63oAn9WC6nGAvgvMAn9AvbXiC8AfAVvd/ZYOx7W7XxbqdGAV8JtmNmyh8/2bCX1Wrup0kLu/qmlEp+afln45Tf4ReIOZPSR+Zm8FyoTWmxZm9tyYWkfsJ/JB4B7gGwv8fUXkCKAAQ0QOSzHV4svxAbR5388ID5MfNrNJ4EOEjtR5v0X49nQz4VvXq+P22QOo1nuAsy2M9LQnbvszQtrIVsK3zO0ewF5IeKDeRBj555Nt6vo94Ivx97kZ+F26f/v7otz5tgEPBp4a+wz0Y4jQ12F7TC96D/Bid89SmX4X+F/g83EEpK8DD+7zvV9oXRf8WS2yHosS+298mdB/4ytx8xcI/RE6tV5A+/tloc4jvGePI8x9cTuhr8OTY3+WpfI3hD4rX4rXfTzwy+6ejZ52aVMryAuBn5rZNOFzLrGw+1FEjiAWWnpFRI5sZnYO4eH1xOaUKzm86LOqM7N3Ahvc/YWHui4iIv1SC4aIHJFiasd5ZpbEfP1LCKP9HNUPrIcjfVZdnUd9eGARkWVBAYaIHKlWAZ8gdML+HnAfYehVOfzos+rsXBRgiMgy01eKlJl9ATieMCLGJPD77v79uO9MQu7rMYROgi919x93OM/vEMYPT4D/IYyxXm5T7lrg79z9qty2K4Ab3f3v+v7tRERERETkoOq3BeO57v4wdz+H0HR9RW7fZcAH3P0swsggV7QcDcQZPd9G6Ch2BnAc8IpF1VpERERERA5LfQUY7r4nt7qKMLY1ZrYeOJ/6yB1XAhvN7AxaPYcwC+uOOIb4pcCiJgkys6vN7Mb4s8nM7ux9lIiIiIiILLVivwXN7MPAk+PqM+LrRuDuOIY67u5mtoUwgdJtTac4mdaZWrvNOPu3ZvaWpuNvjNe5MNZpnDCM4t/3+3uIiIiIiMjS6TvAcPcXA5jZSwipUM/ofsQBe32bPhjk1ouEWVw/4+4fbj7YzC4GLs5tOWmYkSWqqohIL9bwMpCy1qOQtSy02bfIazeVWaoBzxuq0c9FvGWhw/42G7ue33tfv9e1F1tWRGSJzDEz7+7Dgz5v3wFGxt0/FCfYWUeYWOoEMyu6e8XMjNDSsKXNoVsIM5JmTu1Qrl+XAtvcve2Mr+5+CaG/CAAjNuaPt185gMuJyBHPejxVW2tWqSXWuUxun2XnTpLGayVJY5nE6udIrF7Oktr5LDsmScL+2nG5H8ALuXJJ/XpuFhJks3JJUl+vHZvta3wlOxbCeSy3DI1BR/Pb2fxepY0P15Zf9Wxb/eG/tpwCcdnSptdqVt7DTwqWpvVtaTxPti2tL1s1bTzWPeyvLYf9nj/W8+fOrp1C6jQMopKvQ269sUxuOTtvbbVNINJUpnW/ghcR6e5L/umdS3HengGGma0Gxtz9rrj+a4RZPXfFlKgbCDN4XgE8m/DQ35weBaF/xtdi2tM9wKsIwxIumJm9GTgRuHAxx4uI1BxoUNG8PwsCegQU/QQTVgseOgcSnuTKJFY7v5tBIZYp5MoXLAYYFgKAGDB47VwhMMiOCWXyAQZ4gfo1Yvl6oNH4vrYEGZ3e5uxZOAscautxORdgWJV6AJJ6roxjVa+XTz0GE3GfA3GbVeuBQ7bsVc8FMWk9+KhdN43naRN4eAwockGHdQs64vvTcL2C1fenjfeVJfVgohZs5O+9dsFG/t5WsCEiB1E/LRirgE+Z2Sjhz/RO4Jle/9rllcAVZvYmYB/wsuxAM/sgoWP31e5+h5n9BfD1uPtawghUi/FW4Bbg+vif+F3uvtQpWyIiIiIi0kPPAMPdNwOP6rL/ZuCxHfa9vGn9cuDyPq75pDbbXppb7vM7MREREREROZgW3AdDRGTZW2BaVMd+Ft36WGTXSZLcvjYpUb3SoeJ6rT+FGRTitmK9bC2lKYlls7QmM7xotXSmtJiVp2kbeBLToxLDE3LbcutxW7Yv1KmeJpXvl9GSNtXp7c6lQ2Wv5vnUp1gujfvSXNpU7FPRsC8N6VDZtqTitXOG9Cpv3FaJqVJZulU1jcuNqVRUYrpUtTVtirR+TMe0qewaUEuZgtgPwyzsr70pzX00CrXy+XSpcCpXupSIHFb6nWhPRERERESkJwUYIiIiIiIyMEqREpGjQ7e0qEUOP9uQFtVtlKjaELGF2vG1oWYLhfbpUFmaVFM6lJtBMQmpStm2pJ4G5cW4HkeC8kJ8jelPWTpUWrRaupMXcq9xVKm0QG3EKM9GjmqXIlUbZcpjmpQ3pkY1pUu1aB4tKtsW1y21+nq7FKkqmFttZKmkSm0oWqvGstX6MVlqVFKpp1FZNZatZttC2lSWPlVLl6qk4bqVNKZwtUmbcm+fNlWthl8tradGkYZtlqVQdRplKhvSNrsF08Z0qPy92pIuFcs0ULqUiCwxtWCIiIiIiMjAKMAQEREREZGBUYqUiBy5DiQtqldKVP78+ZGiCvU0qGyUKCs0pUPlU5/y6VDFQvt0qEIo5wYUjLSQ4AmkpfpoUWkppEGlxZgOlV8u0mMbIS2qGFKdqKVLgRc9pk95nO07LltcT0JKlCVhmyX1FClL4qhHtY+jMR0nG3G8lhmVZrlVcdktvgKpxQnzDKtm28CqFtKcKhbSm7IUqdRIKmE5qWSjS8VyaUyRqm2jZVu2nJTro0sl5TRsq6aQpVNV0zDSVLu0qUq1JW3KcqlUVOOkiNW0dZSpLKUqG2EK6pPyNYwwVR9dKrznC5yQT+lSIrIE1IIhIiIiIiIDowBDREREREQGRilSInLkWUBqVK9J9NqmRTWPFAW51KhC/dgkCWWTpHGUqMRC+cTwQiGmGiW11Ki0GMrXRodKjLSUxJSmXDpUqZ4OVa1tq48aFZaz1Ke4XPKQ/hTTobwAXvKQGlV0KDgkTlJKscQpFqsk8bVgTpKkDMXlUqFKMUlJCMuJOUULr2E5jcv1tJxCTJOq5mbfSz0hdaMSX8NygdSNcrVAilFJE8rVAlU35isF0jSh6kalUiBN669pOQnpVFWDimGpYWWLI0lZSIeqQlLbFlOosm1xVKlsuVDOpU2Vk4a0qbCc1kedSsOkeklMkbJKGkaASgkpT2kYTao2slQa0pusEMp5HC2K1Ov3ULUa0umaR5jKJuVLUyhYfV82wlS70aXy93e3yfiUKiUiB0gtGCIiIiIiMjAKMEREREREZGCUIiUiR47Fpkb1O2JUp0n0rL5cS4vKjRRFkjSkReXTobwY9nkhjBZFIaRIhTQnC6M+FbPRnyxk1cR0qOpQlvpktXSo+jZIh7wxLarg+FBIgbKhFCukWMEZKlUpFFKGS2VKhZRikrKiNE8hSRkvzVG0lBXFeYaTCsWkylgSlkeSMiWrUrIqw0mZIaswYmUSSynglKxCIS4DJDSm5aTxO64qRtUTyl6kipF6wqyXmPcic2mJshcoe4HZtMRcWmQ6HaKSFphLi0xVhqh4wv7yMNU0Yao8FNOpEubKJarVhHK5gFeNtJrg8yGFyubDaFT5dKlkvp5KVZjPp1KFdKjCvNVSpJJqmCAvqYS0qySmSFnV8UocZaoaRo2y1KGSxLSpQn2yvSxdKm0aYSpNw+hZqdfSoTDHssn4snsyTev3ZJ+T8SlVSkQOBrVgiIiIiIjIwCjAEBERERGRgVGKlIgsf91So+DA0qO6TaZXSGrHW5YOlU2mF1OiPBs9qhBSp7zQmCIVRodqTI3K0qGy1Kg0pkCl2ehQQ9S2hdSnmBqVS4vyBNJhj2lRKRQcKzrFoSpJIWV4uEwxjgg1WiozXKgwXppjKKkyXKiwqjTDcFJhVWGGUnwdsXmGrMpEYYYSVVYmszFFKmXEqpRwRgwKZpQwSpaQkFCI71vS9J1WGlOmqu6kpJQ9pYxTdWfWoYwx6wXKnlD2AvvSEcoUmKyOMu8FZn2IvdVRymmRvdVR5tIie8ujzFWLzKcF9peHmasWmSmXmK8UqKQJc3Ml0mpCdb5AWgmjTaXzCVY1krk48V41pKFZlZgqFZbTIiRVJynEVKmYQpUUHa9kk/g5XghpVUklxathW1JLdbKQolUNI0V5NQ3rWepSTIsyAHO8Spip0FKoAoU4shSEVKls5Km4bBZHlEqsPgGfJbVUKEusnibVtK/1341SpURkcdSCISIiIiIiA6MAQ0REREREBkYpUiJyZLNFfo+SJA3L9bSpptdsORtlqjbCVD4NK47gY7ntZrjFfWZ4XA/bYupTNimfZcfGEaJiGeIke57E9dz+sN3jJH7Zj2NJSpI4BXMKiVNIwqhR9Z8qQ0mlNjpUKakwYhWGrMJQto1qbgSplBIpI+YkQMlCalQBo2QFQpKUUWj7ORSoepiMLyVLo3LKpFRxCjhVT4m7GEnKkELJQopQSqgbCZTSKqkZQ0mFqhspRjFJqXpKIUkpJAnuTpI47ml98kOP76N7eK/jev79JAziFD+HsM08+0zCcW6ENDTPfYZm4eOOxxmNn73l7o3afZIQJubL0p/yqU7Zcnw1s7ZpUgvWLU1KRGQR1IIhIiIiIiIDowBDREREREQGRilSIrL8ZaPztN2XtqRJeeqNI0m105R24rUJzYAkDROZJQBhdB8HLBttJyXUpwjmFqaZS2OCTBrSWsw9pF55mCjPq4ZV4yhSVcMqIT0qqYRRpawaU3EKUK0YnjhpORtFKhtlKkwWl40slc4lcaI9q020Vx4qUk6cuaGh2kR7pTYT7Y2WypSSKmPFeYaSKqOFMNJU0cJyycKEe6WYThUm2HNGbD6kX5FSsioFS0lIKVj7FJyqJ6QkcaK9AlUSqm7M+hCpG7MeJ9qLE+yVvcBMtUTFC2GEqGqJ+bTAdGWIclpgplzqONGeN020lzRPtBdfw3I2ShRxwry4nEKh7HFCPifJJtnLTbSXVBon2bOqQyUNk+FVPby6Q6XaOMFeXA9vTDWMBhVHjAoT8Hm4n1MP+7L7NE7O14+GEaTqG7scoBGkRGTh1IIhIiIiIiIDowBDREREREQGRilSInJkyFI52qVK5VNAYrpUlipiSW5fNex3vD5KVLUaRpCK5/fsGs0jS1XTMApRpVKffK8SRpWy/OR7ZliS4IV4fDYBnxkU86/ghTgxX8FIC0kYGapg4SexkPoUR5EKk/PVX70QJobLylErF0eYyl4LTrUI1QRmC0ASJ+orem4UKoeiY0kYTikpxtckjW9FfjmMB5WYYxbfY3M6ZaSlDu5xlC030phSlqZJzPxJSFOrLeMWJshzw1ODSpi4jhQsDallVgVSI6kCKRQrcbK8FKwS0pyS+EqapT5lqU3Zfm94tRSScj0NyqpxfzWmPWUpUU5Ih3Kvv6YpxDQoq6a5tCYPr9WQGuXVtH6/NqVEhffH68fW3sC0ni6VvaHN93zufm/7b6IdpUaJyAFQC4aIiIiIiAyMAgwRERERERkYpUiJyJGlXWpHPm2qOXUkpkXVhVF7zOvHhLSo/MR79QnT6tuS+no2SV8tLSqpH2dxPbGQIpVPt8rKx3N5tgxQLNQm5KMQJ+fLXhPDC0mcoC+MbuVxvxt4TLkK+62eahW3pQWLr9QmiKsdGyedq70a9cn/srekedniuxjfjtxb2ZZlH5nX1wvZcprbHpctDRPaheX6q3kYAco8pB4l1bAvqXptsrwstcny2yppfZ97SLeqpmF/HAkqpDdlKU1euwaVOMpTWi9HmtbTn3JpTe4eUpXyKVDQfmQoaBkdqr4/d4/3SoVqU6Z1v9KhRGSw1IIhIiIiIiIDowBDREREREQGRilSInLk65UC4tWW0ae82lTGcufI5j6D1gn7cqlUDuSHT7KmlKraiFRxvaFMLQ0raUjJsty2xOrbayla+eObzu1ttuXLeW1brl5ZWlb+66jcdWrpT7nf05tH8uqRIkXTx2NtRkWqp1F50yhK9ZSo2v6YEWQNqUat6UfWZls9bakxvSlsyo3slJXJ6uhpnFAxV7b53Pn1fJnccfWdfaQ+tSnXul/pTyJy8KkFQ0REREREBkYBhoiIiIiIDIxSpEREoL80qnabU5rSq9qXA3Dr/p2OJdacLZTtaN3WlJplzWlJUE+DqhfqvK/dOeI1GrZ2+h06zaR3oBaSGtRU1tt9pp1SlJr2dS7T/yhNHdOaehzXphL9lRMROUyoBUNERERERAZGAYaIiIiIiAyMUqRERA5UvyksHdKsarv7zJhpHvEKWgZiWpweKVzLTt9v6ELPq5QlEZFujrD/TURERERE5FBSgCEiIiIiIgOjFCkRkeVmqVJ0eqRwiYiI9EMtGCIiIiIiMjAKMEREREREZGAUYIiIiIiIyMAowBARERERkYFRgCEiIiIiIgOjAENERERERAZGAYaIiIiIiAyMAgwRERERERkYBRgiIiIiIjIwCjBERERERGRgFGCIiIiIiMjAKMAQEREREZGBUYAhIiIiIiIDowBDREREREQGRgGGiIiIiIgMjAIMEREREREZGAUYIiIiIiIyMAowRERERERkYBRgiIiIiIjIwCjAEBERERGRgVGAISIiIiIiA6MAQ0REREREBkYBhoiIiIiIDIwCDBERERERGRgFGCIiIiIiMjAKMEREREREZGAUYIiIiIiIyMAowBARERERkYFRgCEiIiIiIgOjAENERERERAZGAYaIiIiIiAyMAgwRERERERkYBRgiIiIiIjIwCjBERERERGRgFGCIiIiIiMjAKMAQEREREZGBUYAhIiIiIiIDowBDREREREQGRgGGiIiIiIgMjAIMEREREREZGAUYIiIiIiIyMAowRERERERkYBRgiIiIiIjIwCjAEBERERGRgVGAISIiIiIiA3PAAYaZvdfMNpmZm9k5Pcr+jpndama3m9nlZlbqUO5aM/u1pm1XmNnrDrS+IiIiIiKydAbRgvFp4HHA5m6FzOw04G3A44EzgOOAVwzg+iIiIiIicpg44ADD3a9z9219FH0OcLW773B3By4Fnr+Ya5rZ1WZ2Y/zZZGZ3LuY8IiIiIiIyWMWDeK2TaWzl2BS3dfK3ZvaWpuNvBHD3CwHMbBz4X+DvB1hPERERERFZpIMZYCzU6939qmzFzK7I7zSzIvAp4DPu/uHmg83sYuDi3Kb0S/7pu5emqnKEGwf2H+pKyLKj+0YWQ/eNLJbuHVmM45fipAczwNgCnJ5bPzVuW6xLgW3u/vZ2O939EuCSbN3Mtrn7hgO4nhyldO/IYui+kcXQfSOLpXtHFsPM+unmsGAHc5jaK4ELzex4MzPgVcAnFnMiM3szcCLw6gHWT0REREREDtAghqm9LEY/G4BrzOy23L4PmtmFAO5+B/AXwNeB24CdwGWLvOxbCa0h18eO3p87kN9BREREREQG44BTpNz9lV32vbxp/XLg8j7O+aQ2216aW7YFVTK4pHcRkbZ078hi6L6RxdB9I4ule0cWY0nuGwsjxoqIiIiIiBy4g9kHQ0REREREjnAKMEREREREZGAUYIiIiIiIyMAowBARERERkYFRgCEiIiIiIgOjAENERERERAZGAYaIiIiIiAyMAgwRERERERkYBRgiIiIiIjIwCjBERERERGRgFGCIiIiIiMjAKMAQEREREZGBUYAhIiIiIiIDowBDREREREQGRgGGiEgbZvZ5M/vzJThv0czczJ406HPnrlEys4+Z2S4z229mq5bqWm2ufa2Zvf1gXe9w0s89s5j3x8wSM3uLmW02s71mdp2ZnXFgtRURWToKMETksBAfvNzMXtm0fcLMJuO+g/ZQ5e5Pd/e3NdVvuTw4Pwd4MnCqu4+7+95DXaGjQf6eGfD98kbgQuAJwDHA/cCfDOjcLczsN83sq2a2L/67K/Yob2b2VjO7y8ymYgD0kKWqn4gc/hRgiMjh5CfAK5u2vQjYfAjqspydDtzh7vsOdUWWgpkNHeo6HCxmlgCvBd7o7pvdvUz4d7JiCS+7G/hH4HV9ln8D8NvA0wgB0NeBa8xsfElqJyKHPQUYInI4+S/gODN7dG7bq4HL8oXM7LVm9qP4DesOM/uImR2T23+cmV1lZnvM7A4ze0FzWlL8hvnvzezjMe1kq5m9umn/2+PypcDjgT+KKUf74/ZNZvbyprq5mT01t77ezP4jqwvwvKbyI2b2DjO73cx2x29/z+32JpnZajP7gJltM7P7YmrO2XHfFcCbgcfGun6+wzl+L15z0szuicdl+0bN7O1mdkvcf4eZvaSf934hdY37+/2s3mdmnzCz3cB7+7gHrjWzfzCzT8Yy2+I38w81s2/G3+s7+bq0qfuvmtldufWXxLpdFNeL8dyPz13z7Z3ul5yJTvddGw8E1gPXxWsY8MvADV2OOSDufo27/xtwR5+HvAb4G3e/yd1ngD8HhoBnLVUdReTwpgBDRA4nFeCDwKsAzOxxwErgv5vK7QB+HVgNPBo4C/iH3P6PAwXgNOARwHM7XO+l8XprCN/Wvs/apGG5+6uArwLviilHC/lm9qPAGPAA4Hzg+U37LwUeBTwROBb4d8K3v6u7nPMjwJnxfCcDNwNfMrNxd38p8A7gm7GuT28+2MzOBN4FXOTuE4QWj3/JFbkcuAC4iPD+Pw64Ke7r9d73Xde4v9/P6mXAh4F1wMV91uNFwPtjmXcD/wy8k/AZrAO2Au/tUvdrgWPM7KFx/WnArYT3BuAx8fWb+YP6uF9eSh/3XXQe8BN3nzGz44D3ARuAf+1UaTP7xxiwdfr5bJffeUEs9O85FfhOts3dK8D3ga6BsogcuRRgiMjh5nLg2fEB+9VxPc0XcPcr3f0Wd0/dfTPhofECADPbAPwi8MfuvtvddwN/2uFaV7r7/8TzXAnsIjzkDoSZnQT8EvCH7r7L3XcR8umz/euAlwCvdfdt7l5x9/cBe4FndjjnCXHf69x9h7tPA38IjHY6po0KYMCDzWylu+939+wb8mOAFwCvcfefenCXu98A3d/7hdZ1gZ/V1e7+uXjd6T7rcaW7X+fuKXAFIdD7qLtvcvd5QnDzqE5vkrtPAt8CLogtB08l9H14WixyAfCV+EC9EAu5784DrjezlxGCqtcAl7n7fV3q/Rp3X93lp9/7pB8r4+uepu27c/tE5CijAENEDivuvg34CiGv+yLCt84NzOzXzewbZnavme0jfEu+1swKwEmxWL7fxqYOl7uraX0KmDiA6jfbEF/vzG3LL2ffWn87/w0z4XfYQHsb4+vt2YaYl7+Z0ELQk7vfCfwmoVVgi5l918yylpXT4uvN7Y7t8d4vtK4L+azy71u/9bg7tzzVYVuvz/sLhEDiXMJD9GcIKU6nE4LHL/Q4vp2F3HfnAte7+78C48CvAq/PfV6HWtbPZ3XT9jW5fSJylFGAISKHo38C3gR83t3zD4RZC8WnCOkwJ7v7SkIqDIRv5bfH5VNyh+WXFytts22SXGdbMzuxaf+2+Hpqblt+eUd8fVjTN8xj7v7ODvXYGl9Pz123SHhg39L1N8hx9/90918mdMp9N/AxMzuL+gP+Wc3H9PHeL7SuC/msau//IupxIL5I6E9xEXCNu3vc9jzgkXG5a30XK7aanAN8D8Ddp9z9s8BOuvyeZnZp1vejw0/bfjmLEUco20R4L7LrF2O9vz+o64jI8qIAQ0QOR9cQvh1+fZt944S/Xfe5+2zsT1BLO4otINcCfxU7GK8GBjFc6A5aH7qvB54fr7OSkKZT4+7bgS8D7zKzNWa2htA/Itu/GbgKeL+ZnQK1YXmfHtOLWsSA63PAeyx0kB4F/hqYp7WvSltmdraZPSP22agQUrIAqu6+E/i3WKes4/gJZnYePd77hdb1AD6rBdXjAH0XmAX+gHprxReAPwK2uvstHY5rd78s1OnAKuA3zWzYQuf7NxP6rFzV6SB3f1XW96PDT0u/nDwzK5jZCKGjNsCwhcEIOj0z/CPwBjN7SPyM3wqUCa09InIUUoAhIoedmPf/5fgA2rzvZ4SHyQ+b2STwIUJH6rzfInzDu5nwLerVcfvsAVTrPcDZFkZ62hO3/RkhDWQr4Vvmdg9ULyQ8UG8ijPzzyTZ1/R7wxfj73Az8Lt2/iX9R7nzbgAcDT419BvoxROjrsD2mF70HeLG7Z6lMvwv8L/D5OALS14EH9/neL7SuC/6sFlmPRYn9N75M6L/xlbj5C4T+BZ1aL6D9/bJQ5xHes8cR5r64HXgQ8OTYn2WpvAiYIQT6APvj+hOg1kKSbwX5G0Ifly/Fej4e+GV3bx49S0SOEhZae0VEjlxmdg7h4fXE5pQrObzos6ozs3cCG9z9hYe6LiIiC6EWDBE54sRUjfPMLIn5+pcQRvs5qh9YD0f6rLo6j/rwwCIiy4YCDBE5Eq0CPkHohP094D7C0Kty+NFn1dm5KMAQkWWorxQpM/sCcDxhVIxJ4Pfd/ftx35mE/NdjCB0FX+ruP+5wnt8hjCGeAP9DGGe93KbctcDfuftVuW1XADe6+9/1/duJiIiIiMhB1W8LxnPd/WHufg6h+fqK3L7LgA+4+1mE0UGuaDkaMLPTgLcROn+dARwHvGJRtRYRERERkcNSXwGGu+/Jra4CHMDM1gPnUx+940pgo5mdQavnEGZi3RHHEb8UWNREQWZ2tZndGH82mdmdvY8SEREREZGlVuy3oJl9GHhyXH1GfN0I3B3HUcfd3cy2ECZRuq3pFCfTOltrt1ln/9bM3tJ0/I3xOhfGOo0ThlL8+35/DxERERERWTp9Bxju/mIAM3sJIRXqGd2POGCvb9MHg9x6kTCT62fc/cPNB5vZxcDFuS0nDTOyRFUVETlctZlOY9BzXS83bbseash2ETn6zDEz7+7Dgz5v3wFGxt0/FCfZWUeYXOoEMyu6e8XMjNDSsKXNoVsIs5JmTu1Qrl+XAtvcve2sr+5+CaG/CAAjNuaPt185gMuJiCyALeApvuMEyWBJh/N0OqapvLWrR9J0bD9lOp2rw3UHJu384N92kJI0bVewZ5mWc3W6rrc5P+Bd6tnpmPZlFeiIyMHzJf/0zqU4b88Aw8xWA2Pufldc/zXCTJ27YkrUDYSZaq8Ank146G9Oj4LQP+NrMe3pHuBVhKEJF8zM3gycCFy4mONFRAainyCiQyDQNnBoVzZXruUBPx8EZPty2xrK56+XXadhW5v9va7frT6D0BwIND9859fzD/j5B/p2ZfL74zajKcjIrt2yrf475subtQkMatcp5Db1CFy63VMKPkRkmeinBWMV8CkzGyUMU7sTeKbX/7K+ErjCzN4E7ANelh1oZh8kdOy+2t3vMLO/AL4ed19LGIFqMd4K3AJcH//Du8vdlzplS0REREREeuhrHowjgVKkRGTg1ILRuT6D0KMFwwfYgtF6vk4tGH1cv109apsWlnrVdMHeZUREFuBL/unt7r5h0OddcB8MEZGjyiCDiH4e3LOH9KaAoW2wYEluObctlqkdY9Z6XrPGY63xPJ40bTOrd4NuvmbTsnd6z5rfpg7P1JZ/kG63nDZty7a7Y6k3ls3vTxvLhm1p47bmIKTh2LTh+g1pVc0BSS6dqmMqVUNQUVD6lIgcMQb8dZOIiIiIiBzNFGCIiIiIiMjAKEVKRGSRaVALToFqk/7UkvrUnPYUz2mF3LFJUk9rShrP7YUkl+YUz5WlOJmFr5XMwj4I67VjrZ7elORSpeK+cP1cCpSBZ9VPrL7ckC7V8ra11TAIU0z3MaeejuTUpqow9/pyNe5PG9OnzL22jzStpWNZlhKVZufxempULs3Jqmn92Oy8tbK5tKqsnKet6VTNqVRt06jqKVRWoENfkkJc7dLPQ+lTInIYUQuGiIiIiIgMjAIMEREREREZGKVIicjRo1cq1KDSoNqNAJXU053qaUtJ42hPhUJj6lNMh/IkpjRl25MkpCkVcqlPcTktJiEnxwwvhn3h+HDdbDmMEgVeCMtuWYoUYJAWwmttX0I9JSqhVq7+avG64Vepp0vV367mdKnGtKimbTElKkuHsto6Mb0prsdlS0O5pFovZ1Wv7bNse+rhmDSkRWXL5o5VsjQoSCox5anq9VSqbDlN6ylTaRrPlaVe5VKpqtXwq2SjW3muDNTTqNqNRBVHoeo9AtUBpE8pdUpElohaMEREREREZGAUYIiIiIiIyMAoRUpEjlzdUqJ6pUO1SYXqazSoQqF+THMaVJYCBZCN9hRToEiS2jYv1keJypbTYlIbqcmLMW2qmEt5KhhegDTbZpAWQ4pTeAWS+raQGhV/4v60QC39yYsezxvXC4DVt2EeyiZeT42yNsvk1ttxq6VHhbQoq6VH5ZcttTASlBtWDalRtWUHq1pId6pYLY0qieWsEl9T4rFOUgllLIWkUt+WpVQllZBWZdVcGlXF42taG+EqS6WyLKUqv1xNW1Ooqrk0qGq1c/pUTK+i4+hTufSp1MMIVNAweZ+nbb5DzE/u1/zvQylTIjIgasEQEREREZGBUYAhIiIiIiIDoxQpETlyLCAlqp/RoSyb1C5/7h7pUJab6K6WElVIQipUoZ76RLEQRl4qJmESOzPSUiGMyFTKRo6yWspTOlRPh0qL9XSoNKY6paWYDjVELY0pLcbXEnjBc9tSvOR4IaQ5UUohcQpDKWZOUkgplaokScpwsUohSRkqVCkVqhQtZbhYIcEZKZYpWkpiKcNJNb5WSMwpkJKY15bD29SYgpPGYaWqJKRupG615bm0SOoJc2mB1BMqnjBbKZFizFWKVDyhXC0wXy1QTRPmKgXSNKFcLpBWE9yN6nwCqUE5CelQVcPKhlUtpENVw7akTOO2FJL5mCpVjutVamlTSaWeNpXMez2lKo0/5TSMRFWuxkn7HCppGIGqUq2nUlXTMPFfNSU/6hTueDUFj8c0pU1lk/ZZLEsBSNOYMlWoT/BXoDElijZpU0qZEpEloBYMEREREREZGAUYIiIiIiIyMEqREpHlr1Nq1GJHikpy2+N6bbI8yKVGFerHJSENKvxkI0AVaulQ+RGhPElqqVFptq0Q06EKRlpKahPgpaWQBpWWrDbSU0h5CulQaSGfBgXpUEyFissUHB9KoeBYMaVQSikWqwwNVSgmKUPFKqOlMkNJlYmhWYaSKsOFChPFWYaTCquKMwwnZSaSWUpWZSQpM5HMMGRVxpI5hqhSsipjVqFgzog5CTBkRikOI1WK73PS9J1WGlOnyjFNp4wz704KzLpRdWPai5S9wDwFptNh5r3AZDrKbFqi7AUm0xHm0hJ7K6PMpUUmKyPMVYvMpwUm50eYTwvMlEvMVwpU0oT5+SLVSoFKOcErCVQNmw+vybyFkaeqkMxbLn0qpkjNG1Z1krLVRqhKyh72lb02oV9STkO5SiGkR3kYbaqWKpWNKJWNNhXTpixLn0odK4QRqDwbQSr1+r1WrYa0u9Rr6VIkSX1OQ0tzI0zl3nNPa/d/bWI+a9zf+I8lmzVRqVIisjBqwRARERERkYFRgCEiIiIiIgOjFCkRWb6WaiK9/PmzdKns2Oy4XMpULa0q25Zfb/rxJIFCSIXyLJUqLnu2vdBmMrykng5Vm1QvW88mxCt4bntMjyp6LT3KCk6hWKVQSCkVqpQKYXSo4UKFoUKVkUKF4aTCcKHCaKHMSFJmLJlnOCkzlswxkpQZsiorkjlKVmWlzVGylJKljJhTAkYsITGjgFGyAgkJCUahzecBUPWUYXNSUspeDcvulEgpm1PwMmWvUvYEEih5gZSEklWYTUtUSSjglAsFEnMqXiAhjF41X6xgVaca04Ss6lQLYTlNDUhxErzoGDHFDCMhvn8YHgd2SomjMmF4GtK4EuJ773HywXAWPM3SkOKtUg2fJ4C54SQhTSq73/ITOKZpPHFMzfOYBpVYnHjQwz3oadhW9fpxuVQmM6sfl0+HipWyxOppUvl/E81pUvn6KVVKRPqkFgwRERERERkYBRgiIiIiIjIwSpESkeUrS9lolyrVMIFYEjfFCcgSy+WvJLUUEs+yn7KRe5IkTG5mRpYcYuYhVSV3fTerLVs1qaVH1Sbdq1TxxLBKIVw7P6JUMU7CZ+ClQnxNailTtYn24ihS7SbaI4FqKaRnpSXiNqNaCvvSkscUKqgUnXIBZkqOJ/WJ9qzgJKX6RHvFNqlUhSSlmKQMF8JkeiOFMok5RUspJdXaa0hRShsm3IPOE+3lJ9hLPSHFKKeFMJlefE3dmK2WwiR81SKVNKGaJsxXC5SrYdK9ajWhUqlPtJeWE7yam2gvzSbag0LF4kR7kJQNUiiUgWxSvbhcKHt9W8tEe/XRo8K++kR75mDlKuaESfHiiFHZK2mYWM9Sr6c3ZRPu5UePqlbr93k2EV82ehQ0pkbFY+r7cu937t9DS2pUu7Sohv1KjRKRhVELhoiIiIiIDIwCDBERERERGRilSInI8tcuhSOfNtWUAuJVcqNIVeuHxJQdJ+6v5o5L2oz4Q7lh3cxqowVhSf2YJEzMZ4X6CFRWKDSOOmWGZylV+cn6kjB6khcK4SuhmFblcfSpUB7SQgJGLaUKy482FdeTmFJl9fJhdKpCLB8HKoojWGFQSUKG0VQS1rNjPFu23PbcMmTrXl9uo5Y15ZZbDj/mrcvmITWptj1LVUohcRiqEtKUPKQ/4dQmxQvLXnu1NLdcJU6KRy3lKexLwxBSHlOgGtKc4qR3KfXJ83IpT5alPGXb3RtSnryahnstrac+1e7V/CR60F8aFHRPhWra35bSoURkANSCISIiIiIiA6MAQ0REREREBkYpUiJyZOqV6pHNoJZLpfJqvkBuxZLaav6sDRP3ZfvaTOAXLhNHokpy+xvSrXIT/eXSrKx5EsBc6pVlE/hl52hYt5bze35bVrZpm9eOoeF8Ldvz9SeXApW05kK5dciPyt6Gdp9VNuJXfldWLqYnNRxbS0XKbW8o7/UycZuljWlHtXIN56vva0hL8ubUpcb0pvDS5vy1368p1Sl3XNjRmsrUNuWpQ9nWMkp9EpGDRy0YIiIiIiIyMAowRERERERkYJQiJSJHt35SRxpzp+qb22WmdEgH6ngV6/49T3MaVt/HdjjO2tUv6XKeWL5jLbL0rs5nGIx0YaMfNay1OdY7fe6d0pCgaypSx/SlPo5tX14pTSKyfKkFQ0REREREBkYBhoiIiIiIDIxSpEREBmmhqS0d0q9quxeYWdPzcos9sMdIUIeMUolERA47asEQEREREZGBUYAhIiIiIiIDoxQpERHpTalIIiLSJ7VgiIiIiIjIwCjAEBERERGRgVGAISIiIiIiA6MAQ0REREREBkYBhoiIiIiIDIwCDBERERERGRgFGCIiIiIiMjAKMEREREREZGAUYIiIiIiIyMAowBARERERkYFRgCEiIiIiIgOjAENERERERAZGAYaIiIiIiAyMAgwRERERERkYBRgiIiIiIjIwCjBERERERGRgFGCIiIiIiMjAKMAQEREREZGBUYAhIiIiIiIDowBDREREREQGRgGGiIiIiIgMjAIMEREREREZGAUYIiIiIiIyMAowRERERERkYBRgiIiIiIjIwCjAEBERERGRgVGAISIiIiIiA6MAQ0REREREBkYBhoiIiIiIDIwCDBERERERGRgFGCIiIiIiMjAKMEREREREZGAUYIiIiIiIyMAowBARERERkYFRgCEiIiIiIgOjAENERERERAZGAYaIiIiIiAyMAgwRERERERkYBRgiIiIiIjIwCjBERERERGRgFGCIiIiIiMjAKMAQEREREZGBUYAhIiIiIiIDowBDREREREQGRgGGiIiIiIgMjAIMEREREREZGAUYIiIiIiIyMAowRERERERkYA44wDCz95rZJjNzMzunR9nfMbNbzex2M7vczEodyl1rZr/WtO0KM3vdgdZXRERERESWziBaMD4NPA7Y3K2QmZ0GvA14PHAGcBzwigFcX0REREREDhMHHGC4+3Xuvq2Pos8Brnb3He7uwKXA8xdzTTO72sxujD+bzOzOxZxHREREREQGq3gQr3Uyja0cm+K2Tv7WzN7SdPyNAO5+IYCZjQP/C/z9AOspIiIiIiKLdDADjIV6vbtfla2Y2RX5nWZWBD4FfMbdP9x8sJldDFyc25R+yT9999JUVY5w48D+Q10JWXZ038hi6L6RxdK9I4tx/FKc9GAGGFuA03Prp8Zti3UpsM3d395up7tfAlySrZvZNnffcADXk6OU7h1ZDN03shi6b2SxdO/IYphZP90cFuxgDlN7JXChmR1vZga8CvjEYk5kZm8GTgRePcD6iYiIiIjIARrEMLWXxehnA3CNmd2W2/dBM7sQwN3vAP4C+DpwG7ATuGyRl30roTXk+tjR+3MH8juIiIiIiMhgHHCKlLu/ssu+lzetXw5c3sc5n9Rm20tzy7agSgaX9C4i0pbuHVkM3TeyGLpvZLF078hiLMl9Y2HEWBERERERkQN3MPtgiIiIiIjIEU4BhoiIiIiIDIwCDBERERERGRgFGCIiIiIiMjAKMEREREREZGAUYIiIiIiIyMAowBARERERkYFRgCEiIiIiIgOjAENERERERAZGAYaIiIiIiAyMAgwRERERERkYBRgiIiIiIjIwCjBERERERGRgFGCIiIiIiMjAKMAQEWnDzD5vZn++BOctmpmb2ZMGfe7cNUpm9jEz22Vm+81s1VJdq821rzWztx+s6x1O+rlnFvP+mFliZm8xs81mttfMrjOzMw6stiIiS0cBhogcFuKDl5vZK5u2T5jZZNx30B6q3P3p7v62pvotlwfn5wBPBk5193F333uoK3Q0yN8zA75f3ghcCDwBOAa4H/iTAZ27hZm908xuMrN9Zna3mf2bmW3sUt7M7K1mdpeZTcUA6CFLVT8ROfwpwBCRw8lPgFc2bXsRsPkQ1GU5Ox24w933HeqKLAUzGzrUdThYzCwBXgu80d03u3uZ8O9kxRJe1oGXEoKZB8b1/+pS/g3AbwNPi8d8HbjGzMaXsI4ichhTgCEih5P/Ao4zs0fntr0auCxfyMxea2Y/it+w7jCzj5jZMbn9x5nZVWa2x8zuMLMXNKclxW+Y/97MPh7TTraa2aub9r89Ll8KPB74o5hytD9u32RmL2+qm5vZU3Pr683sP7K6AM9rKj9iZu8ws9vNbHf89vfcbm+Sma02sw+Y2TYzuy+m5pwd910BvBl4bKzr5zuc4/fiNSfN7J54XLZv1Mzebma3xP13mNlL+nnvF1LXuL/fz+p9ZvYJM9sNvLePe+BaM/sHM/tkLLPNzH7TzB5qZt+Mv9d38nVpU/dfNbO7cusviXW7KK4X47kfn7vm2zvdLzkTne67Nh4IrAeui9cw4JeBG7occ0Dc/Y3u/j13n3f3PcC7gIeb2ZoOh7wG+Bt3v8ndZ4A/B4aAZy1VHUXk8KYAQ0QOJxXgg8CrAMzsccBK4L+byu0Afh1YDTwaOAv4h9z+jwMF4DTgEcBzO1zvpfF6a4DXAe+zNmlY7v4q4KvAu2LK0UK+mf0oMAY8ADgfeH7T/kuBRwFPBI4F/p3w7e/qLuf8CHBmPN/JwM3Al8xs3N1fCrwD+Gas69ObDzazMwkPjRe5+wShxeNfckUuBy4ALiK8/48Dbor7er33fdc17u/3s3oZ8GFgHXBxn/V4EfD+WObdwD8D7yR8BuuArcB7u9T9WuAYM3toXH8acCvhvQF4THz9Zv6gPu6Xl9LHfRedB/zE3WfM7DjgfcAG4F87VdrM/jEGbJ1+Ptvld27nAmCzu+9uc61VwKnAd7Jt7l4Bvg90DZRF5MilAENEDjeXA8+OD9ivjutpvoC7X+nut7h76u6bCQ+NFwCY2QbgF4E/dvfd8aHoTztc60p3/594niuBXYSH3IEws5OAXwL+0N13ufsuQj59tn8d8BLgte6+zd0r7v4+YC/wzA7nPCHue52773D3aeAPgdFOx7RRAQx4sJmtdPf97p59Q34M8ALgNe7+Uw/ucvcboPt7v9C6LvCzutrdPxevO91nPa509+vcPQWuIAR6H3X3Te4+TwhuHtXpTXL3SeBbwAWx5eCphL4PT4tFLgC+Eh+oF2Ih9915wPVm9jJCUPUa4DJ3v69LvV/j7qu7/PR7nxBb4/6CGPS3sTK+7mnavju3T0SOMgowROSw4u7bgK8Q8rovInzr3MDMft3MvmFm95rZPsK35GvNrACcFIvl+21s6nC5u5rWp4CJA6h+sw3x9c7ctvxy9q31t/PfMBN+hw20l3W2vT3bEPPyNxNaCHpy9zuB3yS0Cmwxs++aWdayclp8vbndsT3e+4XWdSGfVf5967ced+eWpzps6/V5f4EQSJxLeIj+DCHF6XRC8PiFHse3s5D77lzgenf/V2Ac+FXg9bnPa8mY2TOBTwMvdPf/16FY1s9nddP2Nbl9InKUUYAhIoejfwLeBHze3fMPhFkLxacI6TAnu/tKQioMhG/lt8flU3KH5ZcXK22zbZJcZ1szO7Fp/7b4empuW355R3x9WNM3zGPu/s4O9dgaX0/PXbdIeGDf0vU3yHH3/3T3XyZ0yn038DEzO4v6A/5Zzcf08d4vtK4L+axq7/8i6nEgvkjoT3ERcI27e9z2POCRcblrfRcrtpqcA3wPwN2n3P2zwE66/J5mdmnW96PDT9t+OU3neAHwMeB57v6ZTuXiCGWbCO9Fdmwx1vv7ffyaInIEUoAhIoejawjfDr++zb5xwt+u+9x9NvYnqKUdxRaQa4G/stDBeDUwiOFCd9D60H098Px4nZWENJ0ad98OfBl4l5mtiZ1k35Hbvxm4Cni/mZ0CtWF5nx7Ti1rEgOtzwHssdJAeBf4amKe1r0pbZna2mT0j9tmoEFKyAKruvhP4t1inrOP4CWZ2Hj3e+4XW9QA+qwXV4wB9F5gF/oB6a8UXgD8Ctrr7LR2Oa3e/LNTpwCrgN81s2ELn+zcT+qxc1ekgd39V1vejw09Lv5w8M/s9Ql+PZ7r7NX3U8x+BN5jZQ+Jn/FagTGjtEZGjkAIMETnsxLz/L8cH0OZ9PyM8TH7YzCaBDxE6Uuf9FuEb3s2Eb1GvjttnD6Ba7wHOtjDS05647c8IaSBbCd8yt3ugeiHhgXoTYeSfT7ap6/eAL8bf52bgd+n+TfyLcufbBjwYeGrsM9CPIUJfh+0xveg9wIvdPUtl+l3gf4HPxxGQvg48uM/3fqF1XfBntch6LErsv/FlQv+Nr8TNXyD0L+jUegHt75eFOo/wnj2OMPfF7cCDgCfH/ixL5R8IQdznm1o+stGyLm1qBfkbQh+XL8V6Ph74ZXdvHj1LRI4SFlp7RUSOXGZ2DuHh9cTmlCs5vOizqjOzdwIb3P2Fh7ouIiILoRYMETnixFSN88wsifn6lxBG+zmqH1gPR/qsujqP+vDAIiLLhgIMETkSrQI+QeiE/T3gPsLQq3L40WfV2bkowBCRZaivFCkz+wJwPGFUjEng9939+3HfmYT812MIHQVf6u4/7nCe3yGMIZ4A/0MYZ73cpty1wN+5+1W5bVcAN7r73/X924mIiIiIyEHVbwvGc939Ye5+DqH5+orcvsuAD7j7WYTRQa5oORows9OAtxE6f50BHAe8YlG1FhERERGRw1JfAYa778mtrgIcwMzWA+dTH73jSmCjmZ1Bq+cQZmLdEccRvxRY1ERBZna1md0YfzaZ2Z29jxIRERERkaVW7LegmX0YeHJcfUZ83QjcHcdRx93dzLYQJlG6rekUJ9M6W2u3WWf/1sze0nT8jfE6F8Y6jROGUvz7fn8PERERERFZOn0HGO7+YgAzewkhFeoZ3Y84YK9v0weD3HqRMJPrZ9z9w80Hm9nFwMW5LScNM7JEVRURERERWV7mmJl39+FBn7fvACPj7h+Kk+ysI0wudYKZFd29YmZGaGnY0ubQLYRZSTOndijXr0uBbe7edtZXd7+E0F8EgBEb88fbrxzA5UREREREjhxf8k/vXIrz9uyDYWarzezE3PqvEWbq3OXu9xJmZ80mAXo24aG/OT0KQv+MC83s+BiIvIowNOGCmdmbgROBVy/meBGRo5rZ0f0jIiJLqp8WjFXAp8xslDBM7U7gmV4f3/aVwBVm9iZgH/Cy7EAz+yChY/fV7n6Hmf0F8PW4+1rCCFSL8VbgFuD6EKtwl7svdcqWiIiIiIj00Nc8GEcCpUiJiERH+7f4R8n/eyIivXzJP73d3TcM+rwL7oMhIiJL5EAe/K3faY2y4gu41gLPfdB5uoCiDgt5mxdw7tZjFciIyNHpMP9fQ0RERERElhMFGCIiIiIiMjBKkRIRGYSFpDd1STnqmLrU7pimstZch6TpmB77W49vU5dOdV9IytVCpB3SjNqlLjWVbeljmKaN2VFt9nc/vk1dOqRQdU3FWkjaldKsRGQZUguGiIiIiIgMjAIMEREREREZGKVIiYg06yfdqUOqUNsUp3zZ3P6GlKQsXSnbFtdrZfLntSSsW+u2Wvn8efLbktxybru3nM9ay+f3AV67Bi37Oq530pwKlF+PGUWWbcvvy5ZTD8u5feaOpblt+f3N27P0qLjNa8fm0pnc43G5bWm9fFhPG+uaS7tqSLnKp1u1SZnybH/z29dPepXSqkTkEFMLhoiIiIiIDIwCDBERERERGRilSInI0aNXuk6btKeWlKde6U75lKR8mlNi9WPz6UiFQr2MWf347Jh4Di/ktsdlT5LwNVF+OUlwC9fI0p68aCGdycATww28kO2n/logV45QLmlcx3JlauvUUnnyyw3bur3tWUZP7tWalxtevbZuadyWeuO6O1at76uVqWblvF6uEtKlLA0pUOaE1KYULE1jalRuuZrW0q2sGlOi0rQxTSuWraVFVavh7cjSrCCkO6Xekl4V6pLGxea0qkL92BzPp1wZbcu0UCqViCwRtWCIiIiIiMjAKMAQEREREZGBUYqUiBw5FpgC1TH9aTGpT1naU7YMWJKEsklST3fKRmzKzldI8CQJKUiFAiQhHSqkRGXLVv9JLKQyJUZasnBcYqTFkMaUFrNthG2FsI9sWymmPsXynoAXHS9AWgASr20LdUlDLlIhrFviWCEFgyRxzBxLvLacJB7fGyeJeU6Jee79zEZdqr/HaVxO3Wrb0zQsp6nhuWUcvJrgqYXRpaohR8uqYd0qFtKk0oSkClatb7MUrBJ+naQc06lSSCpgVQ+vsVxS8fgaU6tSSMoe06xy6Va1nzSkXFXTsJyCVav11KosrSpN6yNbxbSqkF6V4lmKVDZSVX4kqw6pVM2jX9WOh5bcNG+ZKFApVCKyNNSCISIiIiIiA6MAQ0REREREBkYpUiKyPHVLh+o3FQrq6UwdUqGsabSnfCqUFXJlC4X6CE9JElKZsnMVCzHFqVAb6SkthrSptJTURnJKS0lIVSrFVKgEqqWQElXN0qGy/QWoDgFJSG1KS3HfUD3FKR1yvOBQciimWMEplqokhZThoQrFQpVSIWW0VGYoqbKiNMdQocpQUmFlcY7hpMx4cY5hqzBRmKVkFUaSMmPJHENWZczCa8kqjFiFkqWUSBmylAQoxbdmKPdZZe98PjlnPqbilMNgTcx7QpmEsifMepGyF5n3AtM+HF7TYWbTEmUvMlkdYc6L7K8MM5eW2FcZZj4tMl8tMFUeZj4tMFMuUa4mVKoF5uaLpNWESrmAVw0qCZRDilUyb7V0qmQ+waohlSqphgoX5onbsjQpKMTlQtljepXX9ifltDZaVVIOaU5JJa2PUFWtYlWHSrUxfSqfUlWthjepNnpVlmpVH52qtr8ldSrJpVU5Fm/h+uhShbjaPMlhNrNhm39jSpsSkT6oBUNERERERAZGAYaIiIiIiAyMUqREZPlZbHpUt9QoqKdHdRslCqBQaJ0YL5v8rlioT4gXl72YpUolcZK7MDIUTaNDpUXDi2EkqLRgcdQnq4/+lMRRoYZo2hZTo3KvXnB8KIWCY0MpSTElSVKGhqqUClVGhsqUkpThYoUVxXmGChUminMMFyoMJRVWFWdqqVHDSZmVyQwjSZmSVZhIZhmiylhSrqVEDVtIuBmxhMQKFDBKViAhIcEotJnEEKDqKSlOSkrZq1RxUndmvUIVmPP5WsrUdDrLPAUm0xHKXmQ2LTGclJlLSwxbhTkvUkyqzKdF5qpFiknKfHydqxQpp1USc8rVApiTpglpwXFL8KqRkmCFkAYF2Wt4/y0OphXSjCyMppWCudVuK0tjOlXtFk1qo025G1QJ16jGW9EdN69PwFcBN4fE6tuy1zTFCkk8TxUKFvcXwFMsJaTkQUiPSpJwTLxnvZab5vV/BzEVyhJrmqgv6TxJn5nSpESkJ7VgiIiIiIjIwCjAEBERERGRgVGKlIgsP1mKRttRbnKpHZY0jZBTradMZYPv5FN3PJskLksr6TS5XgWH+shSuQn2GlKn4gR7lk2wl406lZtgj4LFfeGYkDIVUqkoGGkhTsJXTGqT6oVJ8qxpUj1rmmgvpGvVJtxLqI04NVeA2SJ4bVK9bPI9r52PguNJnGDPiBPthUn1wg9xkr00/rpx0j3z+CvG5fjW5ifby8sm2XPC5Hvhp74cJtwDT0N6kKeEifdSg9TiRHtA1bC4Xp9Uz0JaU20CPQvLVRiOI0PVJ9MDq3huor3sNW2afM/j+WLZuD+pplD1cL1qGkaHSuOre9iXHx3Ks8n56hPuESfcw+OkerkJ98I9W83etK6T7uVHjmr774J2k+61lmndr9QoEemPWjBERERERGRgFGCIiIiIiMjAKEVKRJavXikb3jCkT8OmuqxMUk+byu1tnqTP24xEFS5RT/XJ0qnapldlx1kS0ofyo1ll525OtcqfszbRX0ytSnLXqI16lUvxSqiXNWtaD+dzs5AGlW2DkLoFtfPXypCdJ1c2u15tnUZdBv2qv2mt67Wsqix1zQkTxuW2WzYSUm3iuVxZD5PcWUw3qm8LM/pZtpytN6QbeUPakaW5svmJ7rJjmlOboDG9Kb8tLqft0pzy6+TSnfLnyM6Tf8vapTy1Kde+jFKfRGSw1IIhIiIiIiIDowBDREREREQGRilSInLk6ycFpDV3KmzulWGST43qR4cJ5xqL9D+RYE2HY/ITCdaWspSt1sKdr5v0Ue9uxy+C9/O5pV0+oE7HtznG3dt/hotIPeqYrtTn8e3LK41JRJYPtWCIiIiIiMjAKMAQEREREZGBUYqUiMiBWGjqSodUrIYiC8ye6XquwZ1KRESkL2rBEBERERGRgVGAISIiIiIiA6MAQ0REREREBkYBhoiIiIiIDIwCDBERERERGRgFGCIiIiIiMjAKMEREREREZGAUYIiIiIiIyMAowBARERERkYFRgCEiIiIiIgOjAENERERERAZGAYaIiIiIiAyMAgwRERERERkYBRgiIiIiIjIwCjBERERERGRgFGCIiIiIiMjAKMAQEREREZGBUYAhIiIiIiIDowBDREREREQGRgGGiIiIiIgMjAIMEREREREZGAUYIiIiIiIyMAowRERERERkYBRgiIiIiIjIwCjAEBERERGRgVGAISIiIiIiA6MAQ0REREREBkYBhoiIiIiIDIwCDBERERERGRgFGCIiIiIiMjAKMEREREREZGAUYIiIiIiIyMAowBARERERkYFRgCEiIiIiIgOjAENERERERAZGAYaIiIiIiAyMAgwRERERERkYBRgiIiIiIjIwCjBERERERGRgFGCIiIiIiMjAKMAQEREREZGBUYAhIiIiIiIDowBDREREREQGRgGGiIiIiIgMjAIMEREREREZGAUYIiIiIiIyMAowRERERERkYBRgiIiIiIjIwCjAEBERERGRgVGAISIiIiIiA6MAQ0REREREBkYBhoiIiIiIDIwCDBERERERGRgFGCIiIiIiMjAHHGCY2XvNbJOZuZmd06Ps75jZrWZ2u5ldbmalDuWuNbNfa9p2hZm97kDrKyIiIiIiS2cQLRifBh4HbO5WyMxOA94GPB44AzgOeMUAri8iIiIiIoeJAw4w3P06d9/WR9HnAFe7+w53d+BS4PmLuaaZXW1mN8afTWZ252LOIyIiIiIig1U8iNc6mcZWjk1xWyd/a2ZvaTr+RgB3vxDAzMaB/wX+foD1FBERERGRRTqYAcZCvd7dr8pWzOyK/E4zKwKfAj7j7h9uPtjMLgYuzm1Kv+SfvntpqipHuHFg/6GuhCw7um9kMXTfyGLp3pHFOH4pTnowA4wtwOm59VPjtsW6FNjm7m9vt9PdLwEuydbNbJu7bziA68lRSveOLIbuG1kM3TeyWLp3ZDHMrJ9uDgt2MIepvRK40MyONzMDXgV8YjEnMrM3AycCrx5g/URERERE5AANYpjay2L0swG4xsxuy+37oJldCODudwB/AXwduA3YCVy2yMu+ldAacn3s6P25A/kdRERERERkMA44RcrdX9ll38ub1i8HLu/jnE9qs+2luWVbUCWDS3oXEWlL944shu4bWQzdN7JYundkMZbkvrEwYqyIiIiIiMiBO5h9MERERERE5AinAENERERERAbmiA8wzOxMM/uGmd1iZt81swcf6jrJ4cHMRszsqnhv/MDMvmhmZ8R9683s/5nZrWb2IzN7Qu64jvvk6GJmLzMzN7Nfi+u6b6QrMxs2s/fF++AmM/to3N7x/yr9PyZm9gwzuyEObPMjM3tJ3K6/OVJjZu81s03x/6VzctsX9fflQP72HPEBBmGkqg+4+1nAXwNXHNrqyGHmA8DZ7v5w4D+BD8bt7wS+5e5nAi8DPm5mpT72yVHCzE4Ffhf4Vm6z7hvp5Z2AA2e5+0OBN8Tt3f6v0v9jR7E4tP9HgZe6+znAM4HLzGwC/c2RRp8GHgdsbtq+2L8vi//b4+5H7A+wHtgHFOO6ATuAMw513fRz+P0A5wOb4vJ+4Pjcvu8AT+21Tz9Hxw/hy5kvAY8ArgV+rde9oftGP8CK+H/SyqbtHf+v0v9j+omf+f3AE+L6w4DtwJD+5uinwz2zCTgnLi/q78uB/u050lswNgJ3u3sFwMM7tAU4+ZDWSg5XfwD8p5mtA0ruviO3bxNwcrd9B62Wcji4GPi6u38v26D7RvpwOrALeJOZXW9mXzWzp9D9/yr9P3aUi5/584D/MLPNwNeAlwAT6G+O9LbYvy8H9LfnSA8wRPpiZm8iROxvPNR1kcObmT0EeDbw9kNdF1l2isApwE/c/Xzg94FPMoA5qeTIZWZF4M+AX3f3U4CnAB9B940cxo70AGMrcEL8x5nlMZ5MiMBEADCzNwC/Djzd3afd/X6gYmbH54qdCmzptu9g1VcOuccTPvNbzWwT8BhCX57novtGutsCpMDHANz9+8CdhKCj0/9V+n9MzgFOdPfrANz9u8A2QqqU/uZIL93+hix2X09HdIDh7vcCNwAvjJueDWxz99sOXa3kcGJmFwPPB37J3ffkdn0KeFUs80jgJOB/+9gnRzh3/yd3P8HdT3X3UwmdvF/h7v+E7hvpwt3vA74MPA3AzE4DTgO+Tof/q/T/mFB/0HsggIXRDk8HbkZ/c6SHbn9DFruvn+se8TN5m9nZhF7v6widVV7m7jcd0krJYcHMNhD+cN8BTMbNc+7+aDM7jtAEfRowD/yeu38lHtdxnxx9zOxa4O/c/SrdN9KLmT0A+GfgGEJrxl+6+5Xd/q/S/2NiZs8H3kS4ZxLgr9z94/qbI3lmdhnwK8DxhIEBJt39jMX+fTmQvz1HfIAhIiIiIiIHzxGdIiUiIiIiIgeXAgwRERERERkYBRgiIiIiIjIwCjBERERERGRgFGCIiIiIiMjAKMAQETkCmNmN8ecnZlbNrX/SzP7SzF6whNd+kpnNxOutX6rrLKAuNx7A8c+L7+GewdVKROToomnmRUSOAO5+DoCZnQrcmK0fRDcfgmsOnLt/0sy+Ddx4qOsiIrJcqQVDROQIZ2ZXmNnr4vJbzOzfzey/zOwWM/usmT3EzK6J6/9mZkksO2Fml5vZd8zsh2b2ATMb6vOaf2ZmP821pJwSt3/MzK6P5/tvMzs+bj/VzPaY2dvM7AYzu9XMfsHM/jYe/yMze0gs+6S4/uH4+j0zO6dDPZ5mZl+LZb5jZk+O2880s6+b2Q/M7CYze/uBvs8iIhIowBAROfqcD7wYOBuYAD4IPAd4EPBA4Omx3HuAr7r7o4CHE/7P+INeJzezNcAbgPNiq8bPA/fE3a9z9/Pd/WHAV4G35A5dBXzP3c8D3glcA1wdz/Eh4C9yZR8MfMjdHwL8NfAJM7Omejwgnv8Z7v4I4LeAj5vZMPB7wGfd/eHu/lDgkl6/l8j/3979hNgUhnEc//5K8jdkYSGyYKtsxG4WlCykTMlE2bESFuxZ2siOpaxkoWRhkAxJEjYWjIWFDZFCYjIei3PkNM00l7kkvp863fN2z3vOc1b3Pvd5n3Ml9cYlUpL0/xmuqrcASR4An6vqfTt+CKxpj9sObExyuB3PBcZ7OP87YBQ4l2QYuFxVL9r3hpLsAea02+vOvE9VdbHdvw98qKob7fge0O0jeV5V1wGq6nySM8CKCXFsAVYDI53c4yuwEhgBTiRZANwErvVwX5KkHphgSNL/51Nnf3yS8ffPhgA7qurpz5y8qsaTbKCpXAwAd5PsAgo4AGysqldJtgHHOlM/9xjXpJdtt64AV6tqaJLjR5PcATbTVDMOAlunuTVJUg9cIiVJmspF4GiSWdAsfUqyerpJSRYCy6rqVlUdB24D64AlwHvgTdvLsW8Gsa3q9FMM0izBejHhmCvApiRrO7Gtb1/XAC+r6ixwBNgwg1gkSR1WMCRJUzlE0wvxKMlX4AvNl/Fn08xbBFxIMp+mqjBK00PxEdgNPAHe0CxLWv6LsT0G9iY5BYwBu6qqum0YVfUsyRBwOsk8YDbwkKYXYxDYnWSM5se2/b8YhyRpglRNrChLktS7JAPAyT/1mNrffb3Oo34X/47zS9K/ziVSkqSZGgOW/g1/tDdTSXYCl/jx1CtJ0k+ygiFJkiSpb6xgSJIkSeobEwxJkiRJfWOCIUmSJKlvTDAkSZIk9Y0JhiRJkqS+McGQJEmS1DcmGJIkSZL65hvhBDwuPcCh3gAAAABJRU5ErkJggg==\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]} diff --git a/setup.py b/setup.py new file mode 100644 index 0000000..7a2c517 --- /dev/null +++ b/setup.py @@ -0,0 +1,11 @@ +import setuptools + +setuptools.setup( + name="CWT", + version=2, + description="A tensorflow 2.0 Continuous Wavelet Transform", + long_description=open('README.md').read(), + packages=['CWT'], + install_requires=['numpy', 'tensorflow'], + python_requires='>=3.6', +)