From db3987bfeea26aabc4b372b6f1b1bcbfbeb08760 Mon Sep 17 00:00:00 2001 From: "filipe@flexcompute.com" Date: Thu, 23 Oct 2025 16:07:26 -0300 Subject: [PATCH 1/5] Upload TFLN EOM Tidy3D notebook --- TFLNTidy3d.ipynb | 1638 ++++++++++++++++++++++++++++++ docs/case_studies/pic_active.rst | 1 + img/TFLN_EOM_Tidy3D.png | Bin 0 -> 86113 bytes 3 files changed, 1639 insertions(+) create mode 100644 TFLNTidy3d.ipynb create mode 100644 img/TFLN_EOM_Tidy3D.png diff --git a/TFLNTidy3d.ipynb b/TFLNTidy3d.ipynb new file mode 100644 index 00000000..372b4050 --- /dev/null +++ b/TFLNTidy3d.ipynb @@ -0,0 +1,1638 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "986c97ec", + "metadata": {}, + "source": [ + "# Thin film Lithium Niobate electro-optic modulator using Tidy3D\n", + "\n", + "In this example, we will simulate a thin-film lithium niobate electro-optic modulator based on Pockels effect. The device is based on the work of `*Ying Li et al.*, “High-Performance Mach–Zehnder Modulator Based on Thin-Film Lithium Niobate with Low Voltage-Length Product,” *ACS Omega* 2023, 8 (10), 9644–9651.` DOI: [10.1021/acsomega.3c00310](https://pubs.acs.org/doi/10.1021/acsomega.3c00310).\n", + "\n", + "We start by calculating the propagating modes of the TFLN waveguide and the coplanar (CPW) transmission line using [mode simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html).\n", + "\n", + "Finally, we calculate the electro-optic overlap and predict the Vπ·L figure of merit.\n", + "\n", + "You can check [here](https://docs.flexcompute.com/projects/photonforge/en/latest/examples/EO-MZM.html) the same model, along with the full chip layout integrated with a foundry PDK, using [Photonforge](https://www.flexcompute.com/photonforge/), our photonic design automation tool.\n", + "\n", + "\"Schematic" + ] + }, + { + "cell_type": "markdown", + "id": "6fbeeff2", + "metadata": {}, + "source": [ + "### Workflow Overview\n", + "\n", + "[1.](#1) Define the thin-film lithium niobate waveguide geometry and solve for the optical TE mode using [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html).\n", + "\n", + "[2.](#2) Build the CPW transmission line in the same cross-section and compute the RF mode.\n", + "\n", + "[3.](#3) Normalize the RF field to 1 V across the electrodes, evaluate the electro-optic overlap, and estimate Vπ·L." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "7cc91408", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import tidy3d as td\n", + "\n", + "# RF utilities for impedance and port definitions\n", + "import tidy3d.plugins.microwave as mw\n", + "import tidy3d.plugins.smatrix as sm\n", + "from matplotlib import pyplot as plt\n", + "from tidy3d import web\n", + "from tidy3d.plugins.mode import ModeSolver\n", + "\n", + "td.config.logging_level = \"ERROR\"" + ] + }, + { + "cell_type": "markdown", + "id": "49b37a57", + "metadata": {}, + "source": [ + "## Optical Waveguide " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "a43b5172", + "metadata": {}, + "outputs": [], + "source": [ + "eff_inf = 1e3\n", + "\n", + "opt_wavelength = 1.55\n", + "freq_opt = td.C_0 / opt_wavelength\n", + "\n", + "\n", + "# Optical materials pulled from the Tidy3D library\n", + "SiO2 = td.material_library[\"SiO2\"][\"Palik_Lossless\"]\n", + "LiNbO3 = td.material_library[\"LiNbO3\"][\"Zelmon1997\"](1)\n", + "\n", + "# Ridge geometry parameters\n", + "sidewall_angle = 15\n", + "core_thickness = 0.2\n", + "core_width = 3.0\n", + "slab_thickness = 0.2\n", + "plane_size = 8\n", + "plane_limits = (-1.5, 1.9)\n", + "plane_height = 3.4\n", + "\n", + "\n", + "ridge = td.Structure(\n", + " name=\"ridge\",\n", + " geometry=td.Box(\n", + " center=(0.0, 0.0, -slab_thickness / 2), size=(eff_inf, eff_inf, slab_thickness)\n", + " ),\n", + " medium=LiNbO3,\n", + ")\n", + "\n", + "core = td.Structure(\n", + " geometry=td.PolySlab(\n", + " sidewall_angle=sidewall_angle * np.pi / 180,\n", + " reference_plane=\"top\",\n", + " slab_bounds=[0, core_thickness],\n", + " vertices=[\n", + " [-eff_inf, -core_width / 2],\n", + " [eff_inf, -core_width / 2],\n", + " [eff_inf, core_width / 2],\n", + " [-eff_inf, core_width / 2],\n", + " ],\n", + " ),\n", + " name=\"core\",\n", + " medium=LiNbO3,\n", + ")\n", + "\n", + "\n", + "# Auto grid with 20 pts/λ\n", + "grid_spec = td.GridSpec.auto(min_steps_per_wvl=20, wavelength=opt_wavelength)\n", + "\n", + "sim_opt = td.Simulation(\n", + " size=(10.0, plane_size, plane_height),\n", + " run_time=1e-12,\n", + " medium=SiO2,\n", + " structures=[ridge, core],\n", + " grid_spec=grid_spec,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "e8801650", + "metadata": {}, + "source": [ + "### Creating the [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) object and running the mode simulation.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "5edff819", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mode_spec = td.ModeSpec(num_modes=5) # Request first five guided modes\n", + "\n", + "plane_size = (0, sim_opt.bounding_box.size[1], sim_opt.bounding_box.size[2])\n", + "plane = sim_opt.bounding_box.updated_copy(size=plane_size)\n", + "\n", + "# Configure the optical mode solver at 1.55 μm\n", + "mode_solver_opt = ModeSolver(simulation=sim_opt, freqs=[freq_opt], mode_spec=mode_spec, plane=plane)\n", + "\n", + "# Quick visual check of geometry before submitting\n", + "mode_solver_opt.plot()\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a454c0e0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
15:48:21 -03 Created task 'TFLN-opt_mode' with resource_id                      \n",
+       "             'mo-2f61d41e-4b95-40f6-9960-437f4e4f5141' and task_type            \n",
+       "             'MODE_SOLVER'.                                                     \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:48:21 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'TFLN-opt_mode'\u001b[0m with resource_id \n", + "\u001b[2;36m \u001b[0m\u001b[32m'mo-2f61d41e-4b95-40f6-9960-437f4e4f5141'\u001b[0m and task_type \n", + "\u001b[2;36m \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             View task using web UI at                                          \n",
+       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-\n",
+       "             40f6-9960-437f4e4f5141'.                                           \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at \n", + "\u001b[2;36m \u001b[0m\u001b]8;id=621734;https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-40f6-9960-437f4e4f5141\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=153209;https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-40f6-9960-437f4e4f5141\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=621734;https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-40f6-9960-437f4e4f5141\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=95025;https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-40f6-9960-437f4e4f5141\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=621734;https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-40f6-9960-437f4e4f5141\u001b\\\u001b[32m-2f61d41e-4b95-\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[2;36m \u001b[0m\u001b]8;id=621734;https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-40f6-9960-437f4e4f5141\u001b\\\u001b[32m40f6-9960-437f4e4f5141'\u001b[0m\u001b]8;;\u001b\\. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Task folder: 'TFLN-VPI'.                                           \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=595758;https://tidy3d.simulation.cloud/folders/folder-8992deaf-7bd2-4439-9603-4a345bb23569\u001b\\\u001b[32m'TFLN-VPI'\u001b[0m\u001b]8;;\u001b\\. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9bd79cdc62d3430a87665710a76ef064", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
15:48:24 -03 Estimated FlexCredit cost: 0.004. Minimum cost depends on task     \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:48:24 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.004\u001b[0m. Minimum cost depends on task \n", + "\u001b[2;36m \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", + "\u001b[2;36m \u001b[0mFlexCredit cost after a simulation run. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:48:26 -03 status = success                                                   \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:48:26 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1f03b47b7cfa4d94a0247f8b311c322f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
15:48:38 -03 loading simulation from simulation_data.hdf5                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:48:38 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5 \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mode_data_opt = web.run(\n", + " mode_solver_opt, task_name=\"TFLN-opt_mode\", folder_name=\"TFLN-VPI\"\n", + ") # Submit optical mode solve" + ] + }, + { + "cell_type": "markdown", + "id": "0058eb29", + "metadata": {}, + "source": [ + "We can now visualize and inspect the optical modes." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "11417a3d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mode_solver_opt.plot_field(\"E\", \"abs^2\", mode_index=0) # Inspect principal optical mode\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7c5b09ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
wavelengthn effk effTE (Ey) fractionwg TE fractionwg TM fractionmode area
fmode_index
1.934145e+1401.551.8514490.00.9997110.9883850.8695311.395676
11.551.8137470.00.9979920.9554860.8742271.537450
21.551.7628510.00.0048450.7752610.9877342.170106
31.551.7533010.00.9786580.9091640.8817801.840836
41.551.7223640.00.0302960.7853010.9515722.260011
\n", + "
" + ], + "text/plain": [ + " wavelength n eff k eff TE (Ey) fraction \\\n", + "f mode_index \n", + "1.934145e+14 0 1.55 1.851449 0.0 0.999711 \n", + " 1 1.55 1.813747 0.0 0.997992 \n", + " 2 1.55 1.762851 0.0 0.004845 \n", + " 3 1.55 1.753301 0.0 0.978658 \n", + " 4 1.55 1.722364 0.0 0.030296 \n", + "\n", + " wg TE fraction wg TM fraction mode area \n", + "f mode_index \n", + "1.934145e+14 0 0.988385 0.869531 1.395676 \n", + " 1 0.955486 0.874227 1.537450 \n", + " 2 0.775261 0.987734 2.170106 \n", + " 3 0.909164 0.881780 1.840836 \n", + " 4 0.785301 0.951572 2.260011 " + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mode_data_opt.to_dataframe() # Tabulate effective index and loss" + ] + }, + { + "cell_type": "markdown", + "id": "821fae2b", + "metadata": {}, + "source": [ + "## RF CPW Transmission Line \n", + "\n", + "Next, we define the CPW geometry and again use [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) to calculate the RF mode." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "fd57cb3d", + "metadata": {}, + "outputs": [], + "source": [ + "rf_freqs = np.linspace(1e9, 65e9, 20) # Broadband sweep for the CPW\n", + "\n", + "# RF materials\n", + "\n", + "si_rf = td.Medium(permittivity=11.7) # High-resistivity silicon substrate\n", + "sio2_rf = td.Medium(permittivity=3.9) # Oxide buffer beneath the CPW electrodes\n", + "air_rf = td.Medium() # Air top cladding\n", + "# RF permittivity tensor for TFLN stack\n", + "tfln_rf = td.AnisotropicMedium(\n", + " xx=td.Medium(permittivity=44), yy=td.Medium(permittivity=27.9), zz=td.Medium(permittivity=44)\n", + ")\n", + "metal = td.LossyMetalMedium(\n", + " frequency_range=(1e8, 1e11),\n", + " conductivity=41,\n", + " fit_param=td.SurfaceImpedanceFitterParam(\n", + " max_num_poles=16,\n", + " ),\n", + ")\n", + "\n", + "# Layer stack parameters (μm)\n", + "tfln_thickness = 0.2\n", + "sio2_thickness = 7\n", + "metal_thickness = 0.9\n", + "tfln_height = 4.7 + tfln_thickness / 2 # Center of the TFLN film above the silicon\n", + "\n", + "# CPW geometry (μm)\n", + "cpw_thickness = 0.9\n", + "cpw_center = sio2_thickness / 2 - cpw_thickness / 2\n", + "cpw_width = 10\n", + "cpw_gap = 4\n", + "\n", + "# Ground electrode on the negative y side\n", + "cpw_left = td.Structure(\n", + " geometry=td.Box.from_bounds(\n", + " rmin=(-eff_inf, -eff_inf, cpw_center - cpw_thickness / 2),\n", + " rmax=(eff_inf, -cpw_width / 2 - cpw_gap, cpw_center + cpw_thickness / 2),\n", + " ),\n", + " medium=metal,\n", + ")\n", + "\n", + "# Ground electrode on the positive y side\n", + "cpw_right = td.Structure(\n", + " geometry=td.Box.from_bounds(\n", + " rmin=(-eff_inf, cpw_width / 2 + cpw_gap, cpw_center - cpw_thickness / 2),\n", + " rmax=(eff_inf, eff_inf, cpw_center + cpw_thickness / 2),\n", + " ),\n", + " medium=metal,\n", + ")\n", + "\n", + "# Signal electrode between grounds\n", + "cpw_center = td.Structure(\n", + " geometry=td.Box.from_bounds(\n", + " rmin=(-eff_inf, -cpw_width / 2, cpw_center - cpw_thickness / 2),\n", + " rmax=(eff_inf, cpw_width / 2, cpw_center + cpw_thickness / 2),\n", + " ),\n", + " medium=metal,\n", + ")\n", + "\n", + "\n", + "# Oxide buffer volume under the CPW\n", + "sio2_slab = td.Structure(\n", + " geometry=td.Box(center=(0, 0, 0), size=(eff_inf, eff_inf, sio2_thickness)), medium=sio2_rf\n", + ")\n", + "# Thicker TFLN slab for RF simulation\n", + "tfln_slab = td.Structure(\n", + " geometry=td.Box(\n", + " center=(0, 0, -sio2_thickness / 2 + tfln_height), size=(eff_inf, eff_inf, tfln_thickness)\n", + " ),\n", + " medium=tfln_rf,\n", + ")\n", + "\n", + "# Backside silicon substrate region\n", + "si_substrate = td.Structure(\n", + " geometry=td.Box.from_bounds(rmin=(-eff_inf, -eff_inf, -eff_inf), rmax=(eff_inf, eff_inf, -3.5)),\n", + " medium=si_rf,\n", + ")\n", + "\n", + "# Upper air region above electrodes\n", + "air_gap = td.Structure(\n", + " geometry=td.Box.from_bounds(rmin=(-eff_inf, -eff_inf, 3.5), rmax=(eff_inf, eff_inf, eff_inf)),\n", + " medium=air_rf,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "e9ed9e15", + "metadata": {}, + "source": [ + "Since the RF wavelength is much larger than the geometric features, we use a [LayerRefinementSpec](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.LayerRefinementSpec.html) at the CPW to automatically enhance the mesh and better resolve its corners." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "101d737f", + "metadata": {}, + "outputs": [], + "source": [ + "# Define RF frequency range from 1 GHz to 65 GHz\n", + "rf_freqs = np.linspace(1e9, 65e9, 20)\n", + "\n", + "\n", + "# Define Layer refinement spec\n", + "lr_spec = td.LayerRefinementSpec.from_structures(\n", + " structures=[cpw_center, cpw_left, cpw_right],\n", + " min_steps_along_axis=5,\n", + " corner_refinement=td.GridRefinement(dl=cpw_thickness / 10, num_cells=5),\n", + " refinement_inside_sim_only=False,\n", + ")\n", + "\n", + "\n", + "grid_spec = td.GridSpec.auto(\n", + " min_steps_per_wvl=100,\n", + " wavelength=td.C_0 / max(rf_freqs),\n", + " layer_refinement_specs=[lr_spec],\n", + ")\n", + "\n", + "sim_rf_size = (25, 138, 150)\n", + "\n", + "sim_rf = td.Simulation(\n", + " size=sim_rf_size,\n", + " structures=[sio2_slab, tfln_slab, si_substrate, air_gap, cpw_left, cpw_right, cpw_center],\n", + " grid_spec=grid_spec,\n", + " run_time=1e-12,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "3e8dcb6b", + "metadata": {}, + "source": [ + "Now, we can inspect the grid." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "17b2eab6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = sim_rf.plot(x=0) # Visualize CPW layout at x=0\n", + "sim_rf.plot_grid(x=0, ax=ax) # Overlay mesh refinement\n", + "ax.set_xlim(-10, 10)\n", + "ax.set_ylim(-10, 10)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "b03b10c2", + "metadata": {}, + "source": [ + "Now, we define a [WavePort](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.smatrix.WavePort.html) object containing a [current](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.CurrentIntegralAxisAligned.html) integration path defined around the CPW signal, and a [voltage](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.VoltageIntegralAxisAligned.html) integration path from the signal to ground to calculate impedance." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "1318f55c", + "metadata": {}, + "outputs": [], + "source": [ + "# Integration loop encloses signal conductor\n", + "I_int = mw.CurrentIntegralAxisAligned(\n", + " center=cpw_center.geometry.center,\n", + " size=(\n", + " 0,\n", + " cpw_width + cpw_gap,\n", + " 5 * cpw_thickness,\n", + " ),\n", + " sign=\"+\",\n", + ")\n", + "\n", + "# Line integral samples voltage across signal-ground gap\n", + "V_int = mw.VoltageIntegralAxisAligned(\n", + " center=(0, cpw_width / 2 + cpw_gap / 2, cpw_center.geometry.center[2]),\n", + " size=(0, cpw_gap, 0),\n", + " sign=\"-\",\n", + ")\n", + "\n", + "# WavePort bundles the integrals into a port definition\n", + "WP1 = sm.WavePort(\n", + " center=cpw_center.geometry.center,\n", + " size=(0, sim_rf.size[1], sim_rf.size[2]),\n", + " mode_spec=td.ModeSpec(target_neff=2.2),\n", + " direction=\"+\",\n", + " name=\"WP1\",\n", + " current_integral=I_int,\n", + " voltage_integral=V_int,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "04dad6c3", + "metadata": {}, + "source": [ + "Finally, we can use the [WavePort](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.smatrix.WavePort.html) object to automatically configure the [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) based on the RF simulation model." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "4d8cf718", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Obtain mode solver from wave port\n", + "mode_solver_rf = WP1.to_mode_solver(simulation=sim_rf, freqs=rf_freqs)\n", + "\n", + "# Plot V and I integration paths\n", + "fig, ax = plt.subplots(figsize=(10, 3))\n", + "mode_solver_rf.plot(ax=ax) # Show CPW geometry defined by the port plane\n", + "I_int.plot(x=0, ax=ax)\n", + "V_int.plot(x=0, ax=ax)\n", + "ax.set_xlim(-20, 20)\n", + "ax.set_ylim(-10, 10)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "7fb8daeb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
15:48:39 -03 Created task 'CPW mode solver' with resource_id                    \n",
+       "             'mo-86904f7a-93d4-4179-aea2-7b505fd2b829' and task_type            \n",
+       "             'MODE_SOLVER'.                                                     \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:48:39 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'CPW mode solver'\u001b[0m with resource_id \n", + "\u001b[2;36m \u001b[0m\u001b[32m'mo-86904f7a-93d4-4179-aea2-7b505fd2b829'\u001b[0m and task_type \n", + "\u001b[2;36m \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             View task using web UI at                                          \n",
+       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-\n",
+       "             4179-aea2-7b505fd2b829'.                                           \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at \n", + "\u001b[2;36m \u001b[0m\u001b]8;id=105546;https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-4179-aea2-7b505fd2b829\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=525751;https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-4179-aea2-7b505fd2b829\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=105546;https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-4179-aea2-7b505fd2b829\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=706786;https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-4179-aea2-7b505fd2b829\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=105546;https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-4179-aea2-7b505fd2b829\u001b\\\u001b[32m-86904f7a-93d4-\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[2;36m \u001b[0m\u001b]8;id=105546;https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-4179-aea2-7b505fd2b829\u001b\\\u001b[32m4179-aea2-7b505fd2b829'\u001b[0m\u001b]8;;\u001b\\. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Task folder: 'default'.                                            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=859771;https://tidy3d.simulation.cloud/folders/folder-f9e994c1-6315-4b44-af3a-c2cb1435b23a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "061e10d2e43c4e93bc4ac62547071355", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
15:48:42 -03 Estimated FlexCredit cost: 0.006. Minimum cost depends on task     \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:48:42 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.006\u001b[0m. Minimum cost depends on task \n", + "\u001b[2;36m \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", + "\u001b[2;36m \u001b[0mFlexCredit cost after a simulation run. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:48:44 -03 status = success                                                   \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:48:44 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a50e0f602b85485896264a85577f4a1c", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
15:48:58 -03 loading simulation from data/WP1_mode_data.hdf5                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:48:58 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/WP1_mode_data.hdf5 \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mode_data_rf = web.run(mode_solver_rf, task_name=\"CPW mode solver\", path=\"data/WP1_mode_data.hdf5\")" + ] + }, + { + "cell_type": "markdown", + "id": "5a07d673", + "metadata": {}, + "source": [ + "We can now use the built-in [ImpedanceCalculator](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.ImpedanceCalculator.html) to calculate and visualize the impedance results." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "299e42fb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Characteristic impedance from port integrals\n", + "Z0_mode = np.conjugate(\n", + " mw.ImpedanceCalculator(voltage_integral=V_int, current_integral=I_int).compute_impedance(\n", + " mode_data_rf\n", + " )\n", + ").squeeze()\n", + "\n", + "\n", + "# Inspect RF Ey distribution\n", + "fig, ax = plt.subplots(1, 2, figsize=(9, 3), tight_layout=True)\n", + "\n", + "mode_solver_rf.plot_field(\"Ey\", \"real\", f=rf_freqs[0].item(), robust=False, ax=ax[0])\n", + "ax[0].set_xlim(-20, 20)\n", + "ax[0].set_ylim(-20, 20)\n", + "\n", + "ax[1].plot(Z0_mode.f * 1e-9, Z0_mode.real) # Plot real part of Z0 versus frequency\n", + "_ = ax[1].set(xlabel=\"Frequencies (GHz)\", ylabel=\"Re{Z₀} (Ω)\")\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "52e82ec2", + "metadata": {}, + "source": [ + "## Computation of Vπ·L \n", + "\n", + "Next, we run a similar mode simulation, this time adding the TFLN waveguides beneath the CPW gaps. We then monitor the RF fields at the waveguides and calculate the index change due to the Pockels effect." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "0b823b69", + "metadata": {}, + "outputs": [], + "source": [ + "# Align RF and optical coordinates\n", + "delta_z = tfln_slab.geometry.center[2] - ridge.geometry.center[2]\n", + "\n", + "# Waveguides beneath right CPW gap to sample RF field\n", + "waveguide_r = [\n", + " ridge.updated_copy(\n", + " geometry=ridge.geometry.translated(x=0, y=cpw_width / 2 + cpw_gap / 2, z=delta_z),\n", + " name=\"ridge_r\",\n", + " medium=tfln_rf,\n", + " ),\n", + " core.updated_copy(\n", + " geometry=core.geometry.translated(x=0, y=-cpw_width / 2 - cpw_gap / 2, z=delta_z),\n", + " name=\"core_r\",\n", + " medium=tfln_rf,\n", + " ),\n", + "]\n", + "\n", + "# Waveguides beneath left CPW gap\n", + "waveguide_l = [\n", + " ridge.updated_copy(\n", + " geometry=ridge.geometry.translated(x=0, y=-cpw_width / 2 - cpw_gap / 2, z=delta_z),\n", + " name=\"ridge_l\",\n", + " medium=tfln_rf,\n", + " ),\n", + " core.updated_copy(\n", + " geometry=core.geometry.translated(x=0, y=cpw_width / 2 + cpw_gap / 2, z=delta_z),\n", + " name=\"core_l\",\n", + " medium=tfln_rf,\n", + " ),\n", + "]\n", + "\n", + "# Mesh overrides tighten resolution in core and gaps\n", + "override_region = td.MeshOverrideStructure(\n", + " geometry=td.Box(\n", + " size=(eff_inf, eff_inf, slab_thickness + core_thickness),\n", + " center=(0, 0, tfln_slab.geometry.center[2] + tfln_thickness / 2),\n", + " ),\n", + " dl=(None, None, 0.01),\n", + ")\n", + "\n", + "gap_center = cpw_center.geometry.center[1] + cpw_width / 2 + cpw_gap / 2\n", + "\n", + "override_region_gap_l = td.MeshOverrideStructure(\n", + " geometry=td.Box(size=(eff_inf, cpw_gap, eff_inf), center=(0, gap_center, 0)),\n", + " dl=(None, 0.01, None),\n", + ")\n", + "\n", + "override_region_gap_r = td.MeshOverrideStructure(\n", + " geometry=td.Box(size=(eff_inf, cpw_gap, eff_inf), center=(0, -gap_center, 0)),\n", + " dl=(None, 0.01, None),\n", + ")\n", + "\n", + "\n", + "# Updated RF simulation including optical rails\n", + "grid_spec_vpi = grid_spec.updated_copy(\n", + " override_structures=[override_region, override_region_gap_l, override_region_gap_r]\n", + ")\n", + "sim_vpi = sim_rf.updated_copy(\n", + " structures=[sio2_slab, si_substrate, air_gap, cpw_left, cpw_right, cpw_center]\n", + " + waveguide_r\n", + " + waveguide_l,\n", + " grid_spec=grid_spec_vpi,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "de0b6b55", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mzm_solver = ModeSolver(\n", + " simulation=sim_vpi, # RF mode solver with optical rails present\n", + " plane=mode_solver_rf.plane,\n", + " mode_spec=td.ModeSpec(num_modes=1, target_neff=2.2),\n", + " freqs=rf_freqs,\n", + ")\n", + "\n", + "\n", + "ax = mzm_solver.plot() # Check geometry with overrides applied\n", + "mzm_solver.plot_grid(ax=ax) # Ensure mesh resolution near rails\n", + "ax.set_ylim(1, 5)\n", + "ax.set_xlim(4, 10)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "38935f5b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
15:48:59 -03 Created task 'MZM mode solver' with resource_id                    \n",
+       "             'mo-52903d65-000d-403f-8f79-c68722127fc6' and task_type            \n",
+       "             'MODE_SOLVER'.                                                     \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:48:59 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'MZM mode solver'\u001b[0m with resource_id \n", + "\u001b[2;36m \u001b[0m\u001b[32m'mo-52903d65-000d-403f-8f79-c68722127fc6'\u001b[0m and task_type \n", + "\u001b[2;36m \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             View task using web UI at                                          \n",
+       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-\n",
+       "             403f-8f79-c68722127fc6'.                                           \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at \n", + "\u001b[2;36m \u001b[0m\u001b]8;id=486915;https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-403f-8f79-c68722127fc6\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=89770;https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-403f-8f79-c68722127fc6\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=486915;https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-403f-8f79-c68722127fc6\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=977201;https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-403f-8f79-c68722127fc6\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=486915;https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-403f-8f79-c68722127fc6\u001b\\\u001b[32m-52903d65-000d-\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[2;36m \u001b[0m\u001b]8;id=486915;https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-403f-8f79-c68722127fc6\u001b\\\u001b[32m403f-8f79-c68722127fc6'\u001b[0m\u001b]8;;\u001b\\. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Task folder: 'default'.                                            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=471469;https://tidy3d.simulation.cloud/folders/folder-f9e994c1-6315-4b44-af3a-c2cb1435b23a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "91aced32453146ca813a2d9a2931f108", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
15:49:02 -03 Estimated FlexCredit cost: 0.015. Minimum cost depends on task     \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:49:02 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.015\u001b[0m. Minimum cost depends on task \n", + "\u001b[2;36m \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", + "\u001b[2;36m \u001b[0mFlexCredit cost after a simulation run. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:49:04 -03 status = success                                                   \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:49:04 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "fc67c005e5af4081aa7b558a14e88a2c", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
15:49:27 -03 loading simulation from data/MZM_mode_data.hdf5                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:49:27 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/MZM_mode_data.hdf5 \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mzm_mode_data = web.run(\n", + " mzm_solver, task_name=\"MZM mode solver\", path=\"data/MZM_mode_data.hdf5\"\n", + ") # RF fields with waveguides included" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "7d132394", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "_ = mzm_solver.plot_field(\n", + " \"Ey\", \"real\", f=rf_freqs[0], mode_index=0, robust=True\n", + ") # Ey component couples to r33\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "9bd87dcc", + "metadata": {}, + "source": [ + "Visualizing the results." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "a7147eea", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "n_eff = mzm_solver.data.n_eff.isel(mode_index=0).values # RF effective index with rails\n", + "\n", + "# Calculate Z0\n", + "Z0_mzm = np.conjugate( # Characteristic impedance versus frequency\n", + " mw.ImpedanceCalculator(voltage_integral=V_int, current_integral=I_int).compute_impedance(\n", + " mzm_mode_data\n", + " )\n", + ").squeeze()\n", + "\n", + "fig, ax = plt.subplots(1, 2, figsize=(8, 3), tight_layout=True)\n", + "\n", + "ax[0].plot(rf_freqs * 1e-9, n_eff, \".-\") # Dispersion of RF effective index\n", + "ax[0].set(ylabel=\"Effective Index\", xlabel=\"Frequency (GHz)\")\n", + "\n", + "ax[1].plot(rf_freqs * 1e-9, np.real(Z0_mzm), \".-\") # Impedance trend across band\n", + "_ = ax[1].set(ylabel=\"Re{Z₀} (Ω)\", xlabel=\"Frequency (GHz)\")\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "f56ba019", + "metadata": {}, + "source": [ + "To calculate the Pockels effect, we apply an electric field along the LiNbO₃ cut direction to perturb the optical medium. First, we normalize the field by the applied voltage and shift its coordinates so they align with the optical simulation, where the dielectric waveguide is centered at y = 0." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "82671b9d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "v0 = WP1.voltage_integral.compute_voltage(\n", + " mzm_solver.data\n", + ") # Extract net port voltage at each frequency\n", + "ey_norm = (\n", + " (mzm_solver.data.Ey / v0).isel(f=0, mode_index=0, drop=True).abs\n", + ") # Normalize Ey to 1 V drive\n", + "\n", + "offset = cpw_width / 2 + cpw_gap / 2\n", + "ey_norm = ey_norm.assign_coords(y=ey_norm.y - offset) # Shift origin so optical core sits at y=0\n", + "\n", + "ey_norm.isel(x=0).transpose(\"z\", \"y\").plot(robust=True) # Field sampled through waveguide height\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "eb1d41fe", + "metadata": {}, + "source": [ + "The normalized electric field is applied to the LiNbO₃ crystal along its z-axis, following the Pockels effect model:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "c2e97084", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlQAAAHHCAYAAAB5gsZZAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjcsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvTLEjVAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAZqBJREFUeJzt3XtcVHX+P/DXmYEZLjqABgwk3tJE846G2NVkxaQ2iy5uZOqipoGluHn5ZV66mZdNy0t2VWp1Letba2oY4q1WVhQlxRRrtUBx0BZhFAWGOZ/fHzhHhpvgzMBBX899fB4653zOZ97n5Mrbz+1IQggBIiIiIrpumqYOgIiIiKi5Y0JFRERE5CAmVEREREQOYkJFRERE5CAmVEREREQOYkJFRERE5CAmVEREREQOYkJFRERE5CAmVEREREQOYkJFRC7Vvn17SJIESZKQkJDQJDEsXbpUiUGSJPzxxx9NEgcR3biYUBHdJD7++GN07doVHh4e6Ny5M5YtW1bva0tLSzF9+nQEBwfD09MT4eHhSElJqff199xzDz777DOMGjXqekJ32NChQ/HZZ5/h0UcfbZLvJ6IbHxMqopvA+++/j7Fjx+KOO+7AsmXLEBERgRdeeAELFiyo1/WjR4/G22+/jdjYWLzzzjvQarUYNmwYfvzxx3pd37FjRzzzzDPo37+/I7dx3UJDQ/HMM8+gZ8+eTfL9RHTjc2vqAIjItS5fvoyXX34Z0dHR+PLLLwEA48aNgyzLeO211zB+/Hj4+fnVen16ejrWr1+PRYsW4W9/+xsA4Nlnn0X37t0xbdo07Nmzp1Hug4hIzdhDReQCly9fRmhoKEJDQ3H58mXleEFBAYKCgjBw4EBYrdZGiWXHjh343//+h+eff97ueHx8PIqLi7F58+Y6r//yyy+h1Woxfvx45ZiHhwfi4uKQlpaG3Nzc64przZo1kCQJv/32m93xnTt3QpIk7Ny5Uzl2//33o3v37jh06BDuu+8+eHl5oVOnTkqCuGvXLoSHh8PT0xNdunTBtm3brismIqLrxYSKyAU8PT2RlJSEX3/9FS+//LJyPD4+HkVFRVizZg20Wm2t18uyjD/++KNexWKx1BnLwYMHAQD9+vWzOx4WFgaNRqOcr+v622+/HQaDwe74nXfeCQDIzMys83pnOX/+PB566CGEh4dj4cKF0Ov1GDFiBD7//HOMGDECw4YNw1tvvYXi4mI8/vjjuHDhQqPERUQEcMiPyGXCw8Mxbdo0LFiwAI8++ijy8/Oxfv16LF26FLfffnud1+bk5KBDhw71+p4dO3bg/vvvr/X8mTNnoNVqERAQYHdcp9OhdevWyMvLq7P9M2fOICgoqNpx27FrXe8seXl5WLduHf7yl78AAP70pz8hNDQUTz/9NPbs2YPw8HAAQNeuXREVFYWvvvoKo0ePbpTYiIiYUBG50Ny5c7Fp0yaMGjUKFy9exH333YcXXnjhmtcZjcZ6r6Lr1atXnecvX74MnU5X4zkPDw+7Icnartfr9TVeazvfGFq0aIERI0Yon7t06QJfX1/ceuutSjIFQPn9iRMnGiUuIiKACRWRS+l0OnzyySfo378/PDw8sHr1akiSdM3rPDw8EBkZ6ZQYPD09UVZWVuO5kpISeHp6XvP60tLSGq+1nW8Mbdq0qfbsfHx8EBISUu0YUDFESETUWJhQEbnY1q1bAVQkIL/88ku9hvKsVivOnTtXr/ZbtWpVaw8UUDE0Z7VacfbsWbthv7KyMvzvf/9DcHBwne0HBQXh9OnT1Y6fOXMGAK55fW1qSyxrm6xf25yz2o4LIa4rLiKi68FJ6UQudOjQIbz66qsYM2YM+vTpg7Fjx6KoqOia1+Xm5iIoKKhe5VrbFvTu3RsAsH//frvj+/fvhyzLyvm6rj9+/DjMZrPd8b1799q131C2rRoKCwvtjv/+++/X1R4RUVNiDxWRi1gsFowePRrBwcF45513cPLkSfTv3x9TpkzBJ598Uue1zpxD9cADD6BVq1Z47733MGzYMOX4e++9By8vL0RHRyvHbCsH27ZtCy8vLwDA448/jsWLF+ODDz5Q9qEqLS3F6tWrER4eXm3Irb5uu+02AMDu3buVpMxqteKDDz64rvaIiJoSEyoiF3n99deRmZmJ1NRUtGzZEj179sTs2bMxa9YsPP7443bJTVXOnkP12muvIT4+Hk888QSioqLwww8/4B//+AfeeOMNtGrVSqm7fPlyzJs3z27lYHh4OJ544gnMnDkTZ8+eRadOnZCUlITffvsNH3/88XXHdccdd2DAgAGYOXMmCgoK0KpVK6xfvx7l5eWO3jIRUaNjQkXkAgcOHMCbb76JhIQEDBo0SDk+Y8YM/Otf/8K4ceNw5MgR+Pr6Nko8zz//PNzd3fH3v/8dGzduREhICJYsWYIXX3yxXtd/+umneOWVV/DZZ5/h/Pnz6NmzJzZt2oR7773XobjWrl2L5557Dm+99RZ8fX0RFxeHQYMG4U9/+pND7RIRNTZJcOYmEblQ+/btERERgWXLlsHT0xPe3t6NHkNJSQkuXryIhQsXYtGiRTh37hxuueWWRo+DiG5cnJRORC63fv16+Pv7Y/r06U3y/atWrYK/vz8WLVrUJN9PRDc+DvkRkUutXbtW2fzzeiewOyomJgbdu3dXPtv2qiIichYO+RERERE5iEN+REREVKMVK1agffv28PDwQHh4ONLT0+usv2HDBoSGhsLDwwM9evTAli1b7M4LITB79mwEBQXB09MTkZGR+OWXX+zqFBQUIDY2FgaDQVmscvHiRbs6hw4dwj333AMPDw+EhIRg4cKFDY7F2ZhQERERUTWff/45EhMTMWfOHBw4cAC9evVCVFQUzp49W2P9PXv24C9/+Qvi4uJw8OBBDB8+HMOHD0dWVpZSZ+HChXj33XexatUq7N27F97e3oiKilJeZQUAsbGxOHLkCFJSUrBp0ybs3r0b48ePV86bzWYMGTIE7dq1Q0ZGBhYtWoS5c+fa7WFXn1icThARERFVceedd4r4+Hjls9VqFcHBwWL+/Pk11n/yySdFdHS03bHw8HDx3HPPCSGEkGVZGI1GsWjRIuV8YWGh0Ov14p///KcQQoiff/5ZABD79u1T6nz33XdCkiRx+vRpIYQQK1euFH5+fqK0tFSpM336dNGlS5d6x+IKnJRehSzLyMvLQ8uWLev1ElsiIro5CSFw4cIFBAcHQ6Nx3YBPSUlJrS84byghRLWfbXq9Hnq93u5YWVkZMjIyMHPmTOWYRqNBZGQk0tLSamw7LS0NiYmJdseioqLwzTffAABOnjwJk8lkt2mxj48PwsPDkZaWhhEjRiAtLQ2+vr7o16+fUicyMhIajQZ79+7Fo48+irS0NNx777127zCNiorCggULcP78efj5+V0zFldgQlVFXl5ek61EIiKi5ic3Nxdt2rRxSdslJSXo0K4FTGdrfml4Q7Vo0aLafKQ5c+Zg7ty5dsf++OMPWK1WBAYG2h0PDAzEsWPHamzbZDLVWN9kMinnbcfqqlP5Je4A4ObmhlatWtnVqfqSeVubJpMJfn5+14zFFZhQVdGyZUsAwO8H2sPQglPMiIioZuaLMtr1/U35ueEKZWVlMJ214veM9jC0dOxnkvmCjHZhvyE3NxcGg0E5XrV3iq4PE6oqbF2hhhYaGFpqmzgaIiJSu8aYHtKipYQWLR37HhlXfr4ZDHYJVU1uueUWaLVa5Ofn2x3Pz8+H0Wis8Rqj0Vhnfduv+fn5CAoKsqtje0G60WisNum9vLwcBQUFdu3U9D2Vv+NasbgCu2CIiIhUzipkp5T60ul0CAsLQ2pqqnJMlmWkpqYiIiKixmsiIiLs6gNASkqKUr9Dhw4wGo12dcxmM/bu3avUiYiIQGFhITIyMpQ627dvhyzLCA8PV+rs3r0bFovF7nu6dOkCPz+/esXiCkyoiIiIVE6GcEppiMTERHz44YdISkrC0aNHMXHiRBQXF2PMmDEAgGeffdZu0vqLL76I5ORk/P3vf8exY8cwd+5c7N+/HwkJCQAqevImT56M119/HRs3bsThw4fx7LPPIjg4GMOHDwcAdO3aFUOHDsW4ceOQnp6Of//730hISMCIESMQHBwMAHj66aeh0+kQFxeHI0eO4PPPP8c777xjNwn9WrG4Aof8iIiIqJqnnnoK586dw+zZs2EymdC7d28kJycrk71zcnLsVjcOHDgQ69atw6xZs/D//t//Q+fOnfHNN9/YvfZp2rRpKC4uxvjx41FYWIi7774bycnJ8PDwUOqsXbsWCQkJGDx4MDQaDWJiYvDuu+8q5318fPD9998jPj4eYWFhuOWWWzB79my7varqE4uz8dUzVZjNZvj4+OD88Y6cQ0VERLUyX7DC7/YTKCoquuacpOv+jis/k/Ky2zhlUnpwl1Mujfdmxh4qIiIilbMKAauD/R+OXk914xwqIiIiIgexh4qIiEjlrmdSeU1tkOswoSIiIlI5GQJWJlSqxiE/IiIiIgexh4qIiEjlOOSnfkyoiIiIVI6r/NSPQ35EREREDmIPFRERkcrJV4qjbZDrMKEiIiJSOasTVvk5ej3VjQkVERGRyllFRXG0DXIdzqEiIiIichB7qIiIiFSOc6jUjwkVERGRysmQYIXkcBvkOhzyIyIiInIQe6iIiIhUThYVxdE2yHWYUBEREamc1QlDfo5eT3XjkB8RERGRg9hDRUREpHLsoVI/JlREREQqJwsJsnBwlZ+D11PdOORHRERE5CD2UBEREakch/zUjwkVERGRylmhgdXBQSWrk2KhmjGhIiIiUjnhhDlUgnOoXIpzqIiIiIgc1GwSKqvVildeeQUdOnSAp6cnbrvtNrz22msQ4urWr0IIzJ49G0FBQfD09ERkZCR++eWXJoyaiIjIcbY5VI4Wcp1mk1AtWLAA7733HpYvX46jR49iwYIFWLhwIZYtW6bUWbhwId59912sWrUKe/fuhbe3N6KiolBSUtKEkRMRETnGKjROKeQ6zWYO1Z49e/DII48gOjoaANC+fXv885//RHp6OoCK3qmlS5di1qxZeOSRRwAAn376KQIDA/HNN99gxIgRTRY7ERER3diaTbo6cOBApKam4vjx4wCAn376CT/++CMefPBBAMDJkydhMpkQGRmpXOPj44Pw8HCkpaXV2m5paSnMZrNdISIiUhMZEmRoHCwc8nOlZtNDNWPGDJjNZoSGhkKr1cJqteKNN95AbGwsAMBkMgEAAgMD7a4LDAxUztVk/vz5mDdvnusCJyIichD3oVK/ZtND9cUXX2Dt2rVYt24dDhw4gKSkJCxevBhJSUkOtTtz5kwUFRUpJTc310kRExER0c2i2fRQvfTSS5gxY4YyF6pHjx74/fffMX/+fIwaNQpGoxEAkJ+fj6CgIOW6/Px89O7du9Z29Xo99Hq9S2MnIiJyhDMmlVsrrYon52s2PVSXLl2CRmMfrlarhSzLAIAOHTrAaDQiNTVVOW82m7F3715EREQ0aqxERETOVDGHyvFCrtNseqgefvhhvPHGG2jbti3uuOMOHDx4EG+//Tb++te/AgAkScLkyZPx+uuvo3PnzujQoQNeeeUVBAcHY/jw4U0bPBEREd3Qmk1CtWzZMrzyyit4/vnncfbsWQQHB+O5557D7NmzlTrTpk1DcXExxo8fj8LCQtx9991ITk6Gh4dHE0ZORETkGNkJ7/KTwSE/V5KE4KBqZWazGT4+Pjh/vCMMLbVNHQ4REamU+YIVfrefQFFREQwGg2u+48rPpPWZ3eDl4M+kSxesGNH7Z5fGezNrNj1URERENyvbXlKOtcH+E1dqNpPSiYiIiNSKPVREREQqZxUSrMLBjT0dvJ7qxoSKiIhI5axOmJRu5ZCfS3HIj4iIiMhB7KEiIiJSOVloIDu4U7rMRf0uxYSKiIhI5Tjkp34c8iMiIiJyEHuoiIiIVE6G46v0ZOeEQrVgQkVERKRyztnYk4NSrsSnS0REROQg9lARERGpnFVoYHVwlZ+j11PdmFARERGpnAwJMhydQ8Wd0l2JCRUREZHKsYdK/fh0iYiIiBzEHioiIiKVc87GnuxDcSUmVERERConCwmyo/tQOXg91Y3pKhEREZGD2ENFRESkcrIThvy4sadrMaEiIiJSOVloIDu4Ss/R66lufLpEREREDmJCRUREpHJWSE4prlJQUIDY2FgYDAb4+voiLi4OFy9erPOakpISxMfHo3Xr1mjRogViYmKQn59vVycnJwfR0dHw8vJCQEAAXnrpJZSXl9vV2blzJ/r27Qu9Xo9OnTphzZo11b5rxYoVaN++PTw8PBAeHo709HS72CdNmoQuXbrA09MTbdu2xQsvvICioqIGPQMmVERERCpnG/JztLhKbGwsjhw5gpSUFGzatAm7d+/G+PHj67xmypQp+Pbbb7Fhwwbs2rULeXl5eOyxx5TzVqsV0dHRKCsrw549e5CUlIQ1a9Zg9uzZSp2TJ08iOjoagwYNQmZmJiZPnoyxY8di69atSp3PP/8ciYmJmDNnDg4cOIBevXohKioKZ8+eBQDk5eUhLy8PixcvRlZWFtasWYPk5GTExcU16BlIQgjRoCtucGazGT4+Pjh/vCMMLbVNHQ4REamU+YIVfrefQFFREQwGg2u+48rPpHl7I+HRwrFpzyUXyzEnfJvT4z169Ci6deuGffv2oV+/fgCA5ORkDBs2DKdOnUJwcHC1a4qKiuDv749169bh8ccfBwAcO3YMXbt2RVpaGgYMGIDvvvsODz30EPLy8hAYGAgAWLVqFaZPn45z585Bp9Nh+vTp2Lx5M7KyspS2R4wYgcLCQiQnJwMAwsPD0b9/fyxfvhwAIMsyQkJCMGnSJMyYMaPGe9qwYQOeeeYZFBcXw82tfs+dPVREREQqZ4Uzhv0qmM1mu1JaWupQbGlpafD19VWSKQCIjIyERqPB3r17a7wmIyMDFosFkZGRyrHQ0FC0bdsWaWlpSrs9evRQkikAiIqKgtlsxpEjR5Q6lduw1bG1UVZWhoyMDLs6Go0GkZGRSp2a2JLO+iZTABMqIiIi1XPmkF9ISAh8fHyUMn/+fIdiM5lMCAgIsDvm5uaGVq1awWQy1XqNTqeDr6+v3fHAwEDlGpPJZJdM2c7bztVVx2w24/Lly/jjjz9gtVprrFNbbH/88Qdee+21aw5ZVsVtE4iIiFTOmS9Hzs3NtRvy0+v1NdafMWMGFixYUGebR48edSgmtTGbzYiOjka3bt0wd+7cBl3LhIqIiOgmYjAY6jWHaurUqRg9enSddTp27Aij0ahM8LYpLy9HQUEBjEZjjdcZjUaUlZWhsLDQrpcqPz9fucZoNNqtxrOdt52z/Vp1ZWB+fj4MBgM8PT2h1Wqh1WprrFM1tgsXLmDo0KFo2bIlvv76a7i7u9d571VxyI+IiEjlBCTIDhbRwG0T/P39ERoaWmfR6XSIiIhAYWEhMjIylGu3b98OWZYRHh5eY9thYWFwd3dHamqqciw7Oxs5OTmIiIgAAERERODw4cN2yVpKSgoMBgO6deum1Knchq2OrQ2dToewsDC7OrIsIzU1VakDVPRMDRkyBDqdDhs3boSHh0eDnhXAhIqIiEj1bEN+jhZX6Nq1K4YOHYpx48YhPT0d//73v5GQkIARI0YoK/xOnz6N0NBQpcfJx8cHcXFxSExMxI4dO5CRkYExY8YgIiICAwYMAAAMGTIE3bp1w8iRI/HTTz9h69atmDVrFuLj45VhygkTJuDEiROYNm0ajh07hpUrV+KLL77AlClTlPgSExPx4YcfIikpCUePHsXEiRNRXFyMMWPGALiaTBUXF+Pjjz+G2WyGyWSCyWSC1WpFfTWrhOr06dN45pln0Lp1a3h6eqJHjx7Yv3+/cl4IgdmzZyMoKAienp6IjIzEL7/80oQRExER3fjWrl2L0NBQDB48GMOGDcPdd9+NDz74QDlvsViQnZ2NS5cuKceWLFmChx56CDExMbj33nthNBrxf//3f8p5rVaLTZs2QavVIiIiAs888wyeffZZvPrqq0qdDh06YPPmzUhJSUGvXr3w97//HR999BGioqKUOk899RQWL16M2bNno3fv3sjMzERycrIyUf3AgQPYu3cvDh8+jE6dOiEoKEgpubm59X4GzWYfqvPnz6NPnz4YNGgQJk6cCH9/f/zyyy+47bbbcNtttwEAFixYgPnz5yMpKQkdOnTAK6+8gsOHD+Pnn3+ud/cd96EiIqL6aMx9qKb++yHoWzRsTk9VpRct+Ptdm1wa782s2UxKX7BgAUJCQrB69WrlWIcOHZTfCyGwdOlSzJo1C4888ggA4NNPP0VgYCC++eYbjBgxotFjJiIicgYrNLA6OKjk6PVUt2bzdDdu3Ih+/frhiSeeQEBAAPr06YMPP/xQOX/y5EmYTCa7zbt8fHwQHh5e5+ZdpaWl1TY5IyIiImqIZpNQnThxAu+99x46d+6MrVu3YuLEiXjhhReQlJQE4OomXw3ZvAsA5s+fb7fBWUhIiOtugoiI6DrIQnJKIddpNgmVLMvo27cv3nzzTfTp0wfjx4/HuHHjsGrVKofanTlzJoqKipTSkAloREREjUGGximFXKfZPN2goCBl3wmbrl27IicnB8DVTb7qs3lXZXq9XtnkrL6bnRERERFV1mwSqrvuugvZ2dl2x44fP4527doBqJigbjQa7TbvMpvN2Lt3r93mXURERM2NVUhOKeQ6zWaV35QpUzBw4EC8+eabePLJJ5Geno4PPvhA2edCkiRMnjwZr7/+Ojp37qxsmxAcHIzhw4c3bfBEREQOcMYcKM6hcq1mk1D1798fX3/9NWbOnIlXX30VHTp0wNKlSxEbG6vUmTZtGoqLizF+/HgUFhbi7rvvRnJy8nVtIU9ERKQWQmggO7jTuXDRTulUodls7NlYuLEnERHVR2Nu7Dl+1xPQObixZ9lFCz64bwM39nSRZtNDRUREdLOyQoK1gS83rqkNch0mVERERConC8fnQMkcj3IpDqgSEREROYg9VERERConO2FSuqPXU92YUBEREamcDAmyg3OgHL2e6sZ0lYiIiMhB7KEiIiJSOWfsdM6d0l2LCRUREZHKcQ6V+vHpEhERETmIPVREREQqJ8MJ7/LjpHSXYkJFRESkcsIJq/wEEyqXYkJFRESkcrJwQg8VJ6W7FOdQERERETmIPVREREQqx1V+6seEioiISOU45Kd+TFeJiIiIHMQeKiIiIpXju/zUjwkVERGRynHIT/045EdERETkIPZQERERqRx7qNSPCRUREZHKMaFSPw75ERERETmIPVREREQqxx4q9WNCRUREpHICjm97IJwTCtWCCRUREZHKsYdK/TiHioiIiMhB7KEiIiJSOfZQqR8TKiIiIpVjQqV+HPIjIiIichB7qIiIiFSOPVTq12x7qN566y1IkoTJkycrx0pKShAfH4/WrVujRYsWiImJQX5+ftMFSURE5ARCSE4p5DrNMqHat28f3n//ffTs2dPu+JQpU/Dtt99iw4YN2LVrF/Ly8vDYY481UZRERER0s2h2CdXFixcRGxuLDz/8EH5+fsrxoqIifPzxx3j77bfxwAMPICwsDKtXr8aePXvwn//8pwkjJiIicowMySmFXKfZJVTx8fGIjo5GZGSk3fGMjAxYLBa746GhoWjbti3S0tIaO0wiIiKnsc2hcrSQ6zSrSenr16/HgQMHsG/fvmrnTCYTdDodfH197Y4HBgbCZDLV2mZpaSlKS0uVz2az2WnxEhER0c2h2fRQ5ebm4sUXX8TatWvh4eHhtHbnz58PHx8fpYSEhDitbSIiImfgpHT1azYJVUZGBs6ePYu+ffvCzc0Nbm5u2LVrF9599124ubkhMDAQZWVlKCwstLsuPz8fRqOx1nZnzpyJoqIipeTm5rr4ToiIiBqGQ37q12yG/AYPHozDhw/bHRszZgxCQ0Mxffp0hISEwN3dHampqYiJiQEAZGdnIycnBxEREbW2q9frodfrXRo7ERGRI5zRw8QeKtdqNglVy5Yt0b17d7tj3t7eaN26tXI8Li4OiYmJaNWqFQwGAyZNmoSIiAgMGDCgKUImIiKim0SzSajqY8mSJdBoNIiJiUFpaSmioqKwcuXKpg6LiIjIIcIJQ3bsoXKtZp1Q7dy50+6zh4cHVqxYgRUrVjRNQERERC4gAAjheBvkOs1mUjoRERGRWjXrHioiIqKbgQwJkoM7nXOndNdiQkVERKRyXOWnfhzyIyIiInIQe6iIiIhUThYSJAd7mLixp2sxoSIiIlI5IZywyo/L/FyKQ35EREREDmIPFRERkcpxUrr6sYeKiIhI5WwJlaPFVQoKChAbGwuDwQBfX1/ExcXh4sWLdV5TUlKC+Ph4tG7dGi1atEBMTAzy8/Pt6uTk5CA6OhpeXl4ICAjASy+9hPLycrs6O3fuRN++faHX69GpUyesWbOm2netWLEC7du3h4eHB8LDw5Genl5jTEIIPPjgg5AkCd98802DnkG9eqgOHTrUoEYBoFu3bnBzYwcYERGRo9Q+KT02NhZnzpxBSkoKLBYLxowZg/Hjx2PdunW1XjNlyhRs3rwZGzZsgI+PDxISEvDYY4/h3//+NwDAarUiOjoaRqMRe/bswZkzZ/Dss8/C3d0db775JgDg5MmTiI6OxoQJE7B27VqkpqZi7NixCAoKQlRUFADg888/R2JiIlatWoXw8HAsXboUUVFRyM7ORkBAgF1MS5cuhSRd33OShLj2NDWNRgNJklCPqkr948ePo2PHjtcVVFMym83w8fHB+eMdYWipbepwyMlkyE0dQpPRNGGHNJ873YjMF6zwu/0EioqKYDAYXPMdV34mdVk3A1ovvUNtWS+VIvvpt5we79GjR9GtWzfs27cP/fr1AwAkJydj2LBhOHXqFIKDg6tdU1RUBH9/f6xbtw6PP/44AODYsWPo2rUr0tLSMGDAAHz33Xd46KGHkJeXh8DAQADAqlWrMH36dJw7dw46nQ7Tp0/H5s2bkZWVpbQ9YsQIFBYWIjk5GQAQHh6O/v37Y/ny5QAAWZYREhKCSZMmYcaMGcp1mZmZeOihh7B//34EBQXh66+/xvDhw+v9HOr9//S9e/fi5MmT1ywnTpyAh4dHvQMgIiKiutlW+TlagIokrXIpLS11KLa0tDT4+voqyRQAREZGQqPRYO/evTVek5GRAYvFgsjISOVYaGgo2rZti7S0NKXdHj16KMkUAERFRcFsNuPIkSNKncpt2OrY2igrK0NGRoZdHY1Gg8jISKUOAFy6dAlPP/00VqxYAaPReF3PoV5jcvfddx86deoEX1/fejV67733wtPT87oCIiIiInsVCZGjk9Irfg0JCbE7PmfOHMydO/e62zWZTNWGztzc3NCqVSuYTKZar9HpdNXyisDAQOUak8lkl0zZztvO1VXHbDbj8uXLOH/+PKxWa411jh07pnyeMmUKBg4ciEceeaSed11dvRKqHTt2NKjRLVu2XFcwRERE5Fq5ubl2Q356fc1DiTNmzMCCBQvqbOvo0aNOja0pbNy4Edu3b8fBgwcdaoezxomIiFTOmdsmGAyGes2hmjp1KkaPHl1nnY4dO8JoNOLs2bN2x8vLy1FQUFDr8JnRaERZWRkKCwvteqny8/OVa4xGY7XVeLZVgJXrVF0ZmJ+fD4PBAE9PT2i1Wmi12hrr2NrYvn07/vvf/1brLYuJicE999yDnTt31vkMbBqcUAkh8OWXX2LHjh04e/YsZNl+sun//d//NbRJIiIiqoO4UhxtoyH8/f3h7+9/zXoREREoLCxERkYGwsLCAFQkKbIsIzw8vMZrwsLC4O7ujtTUVMTExAAAsrOzkZOTg4iICKXdN954A2fPnlWGFFNSUmAwGNCtWzelTtVRsZSUFKUNnU6HsLAwpKamKhPMZVlGamoqEhISAFT0xI0dO9aujR49emDJkiV4+OGHr3n/Ng1OqCZPnoz3338fgwYNQmBg4HUvLyQiIqLmr2vXrhg6dCjGjRuHVatWwWKxICEhASNGjFBW+J0+fRqDBw/Gp59+ijvvvBM+Pj6Ii4tDYmIiWrVqBYPBgEmTJiEiIgIDBgwAAAwZMgTdunXDyJEjsXDhQphMJsyaNQvx8fHKMOWECROwfPlyTJs2DX/961+xfft2fPHFF9i8ebMSX2JiIkaNGoV+/frhzjvvxNKlS1FcXIwxY8YAqOjlqqknrW3btujQoUO9n0ODE6rPPvsM//d//4dhw4Y19FIiIiK6DmrfKX3t2rVISEjA4MGDodFoEBMTg3fffVc5b7FYkJ2djUuXLinHlixZotQtLS1FVFQUVq5cqZzXarXYtGkTJk6ciIiICHh7e2PUqFF49dVXlTodOnTA5s2bMWXKFLzzzjto06YNPvroI2UPKgB46qmncO7cOcyePRsmkwm9e/dGcnJytYnqjqrXPlSVdejQAd999x1CQ0OdGohacB+qGxv3Q2oafO50I2rMfag6Jv0/aL0c25LIeqkEJ0a96dJ4b2YN/n/63LlzMW/ePFy+fNkV8RAREVFVznjtDN/l51INHvJ78skn8c9//hMBAQFo37493N3d7c4fOHDAacERERERNQcNTqhGjRqFjIwMPPPMM5yUTkRE1Agq73TuSBvkOg1OqDZv3oytW7fi7rvvdkU8REREVIXaJ6XTdcyhCgkJ4WQ2IiIiokoanFD9/e9/x7Rp0/Dbb7+5IBwiIiKqxjap3NFCLtPgIb9nnnkGly5dwm233QYvL69qk9ILCgqcFhxRc2UV6tsmwHpl6wKtVPe/o65nmX9d2yKo8VnYXOtZEKkF51CpX4MTqqVLl7ogDCIiIqLm67pW+REREVEjaoqX+VGDNDihysnJqfN827ZtrzsYIiIiqo6r/NSvwQlV+/bt69x7ymq1OhQQERERUXPT4ITq4MGDdp8tFgsOHjyIt99+G2+88YbTAiMiIqJKOGSnag1e4tKrVy+70q9fP4wbNw6LFy+2e7O0s82fPx/9+/dHy5YtERAQgOHDhyM7O9uuTklJCeLj49G6dWu0aNECMTExyM/Pd1lMREREjcHR9/g5Y8iQ6ua0NcNdunTBvn37nNVcNbt27UJ8fDz+85//ICUlBRaLBUOGDEFxcbFSZ8qUKfj222+xYcMG7Nq1C3l5eXjsscdcFhMREVGjEE4q5DINHvIzm812n4UQOHPmDObOnYvOnTs7LbCqkpOT7T6vWbMGAQEByMjIwL333ouioiJ8/PHHWLduHR544AEAwOrVq9G1a1f85z//wYABA1wWGxEREd3cGpxQ+fr6VpuULoRASEgI1q9f77TArqWoqAgA0KpVKwBARkYGLBYLIiMjlTqhoaFo27Yt0tLSak2oSktLUVpaqnyumjASERE1PelKcbQNcpUGJ1Q7duyw+6zRaODv749OnTrBza3BzV0XWZYxefJk3HXXXejevTsAwGQyQafTwdfX165uYGAgTCZTrW3Nnz8f8+bNc2W4REREjuE+VKrX4Azovvvuc0UcDRIfH4+srCz8+OOPDrc1c+ZMJCYmKp/NZjNCQkIcbpeIiIhuHvWalL5x40ZYLJZ6N7plyxZcvnz5uoOqS0JCAjZt2oQdO3agTZs2ynGj0YiysjIUFhba1c/Pz4fRaKy1Pb1eD4PBYFeIiIhUhZPSVa9ePVSPPvooTCYT/P3969XoiBEjkJmZiY4dOzoUXGVCCEyaNAlff/01du7ciQ4dOtidDwsLg7u7O1JTUxETEwMAyM7ORk5ODiIiIpwWB92cXPGCX7mWv93qetFwZdZrvOlUW8sGvOXCavcCZE3VeRWVPtb0omRbfDU9k6r3VPdLk68v/qpqe5lztfuqMYaG/Xfly5SpyQipojjaBrlMvRIqIQRGjx4NvV5fr0ZLSkocCqom8fHxWLduHf71r3+hZcuWyrwoHx8feHp6wsfHB3FxcUhMTESrVq1gMBgwadIkREREcIUfERERuVS9EqqGvhA5NjbW6UNn7733HgDg/vvvtzu+evVqjB49GgCwZMkSaDQaxMTEoLS0FFFRUVi5cqVT4yAiImpsQlQUR9sg16lXQrV69WpXx3FNoh5/Ejw8PLBixQqsWLGiESIiIiJqJFzlp3qcEEBERETkoMbZOIqIiIiuHyelqx4TKiIiIpWTREVxtA1yHSZUREREasc5VKrHOVREREREDrquHqrU1FSkpqbi7NmzkGX7jfE++eQTpwRG1JzVtmmnfZ2aN5WsuuFl5bas1TbOrON7ajlVseGlFdorG19W3gBTK0mQK32/u2S75uq/vWybYVb+bhkyrELUGGt9nkVNMVquXKatskFn9Y1Ia9uc89r/XqzP5p9EqsA5VKrX4IRq3rx5ePXVV9GvXz8EBQVBquduxkRERHSdOOSneg1OqFatWoU1a9Zg5MiRroiHiIiIqNlpcEJVVlaGgQMHuiIWIiIiqgl7qFSvwZPSx44di3Xr1rkiFiIiIqqJcFIhl2lwD1VJSQk++OADbNu2DT179oS7u7vd+bfffttpwRERERE1Bw1OqA4dOoTevXsDALKysuzOcYI6qZ3mencKaegfbVHbyrOraqtRdVWcpVLNyisAZVSspLOK6u1ZawhYe6Vd2xPQShUr6DSoWN0HAO5Co6zsq/i+KysBpavPzRZfqSiv9H0CFnF13WJNcdUVky0urWQ7LilxylX+XnGv8t+w6irAq+1d+z+aVmrYn4fr/vND5Ciu8lO9BidUO3bscEUcREREVAvulK5+Dv1z69SpUzh16pSzYiEiIiJqlhqcUMmyjFdffRU+Pj5o164d2rVrB19fX7z22mvVNvkkIiIiJ+CkdNVr8JDfyy+/jI8//hhvvfUW7rrrLgDAjz/+iLlz56KkpARvvPGG04MkIiIiUrMGJ1RJSUn46KOP8Oc//1k51rNnT9x66614/vnnmVARuZCl0j8xLaJiord85VcrJFiEBtYrHc9yDRNQNZKAFjK0EHCXbL8KuF9pt+qrbdwkbbU2bFPPK0+WtwiBEiEqxaO5EosEKzTXjKXi91fjqIgLV37PibREEpwwh8opkVBtGjzkV1BQgNDQ0GrHQ0NDUVBQ4JSgiIiIiJqTBidUvXr1wvLly6sdX758OXr16uWUoIiIiKgS27YJjhZymQYP+S1cuBDR0dHYtm0bIiIiAABpaWnIzc3Fli1bnB4gkRo0eP+hevy9JYua++81VYbdKu+nVHn4ywIBi6gY5iuDFhahgUW4oUxoYYEWFlHxf2/bXlJaSUADGTqpHB5SOdylcrhLMgwog222qvY6/74tExWxlAitEkuJcIdFaFEm3CBDUy0OrSTDHVboJKsSizcsSh3bvVbdT6r655r/29RnjynuK0XNBl89o3oN/tvkvvvuw/Hjx/Hoo4+isLAQhYWFeOyxx5CdnY177rnHFTESERERqVqDe6gAIDg4mJPPiYiIGgt7qFSvXgnVoUOH0L17d2g0Ghw6dKjOuj179nRKYEQ3utpejeJeZWVd5aHByl3Ktt/bVveVCHcUy3pckvUolvWwCC0s4mpbGklAJ5VDL1ngrSmFt6YUXlIZvLUWZXVdfbqsaxsms0JCGbQokd1wSehglj1xSdajRK4Y+rNCA+2VlYHukhUeGgs8JAu8rsQCWJShUk2lWKqu8qv6fOrzihmi5o47patfvRKq3r17w2QyISAgAL1794YkSRA1zP+QJAlWq9XpQRIRERGpWb0SqpMnT8Lf31/5PRHVrV6TnWvrWKnyYmX3SpOrK+8TJUO+MjG9Yg8ni9DiguyJgnJvXJA9UCq7wyJrlX2pKtqyoqW2BK3cLkIrCXhJZRX7UElXv6vy99U0sdvWI1T5JcU6SaBUVOwrJUODEqFDQXkLFFi9ccmqt+sp00KGu8YKL00ZWmhLrlxfDu8rsVR8lpQ43KvEULVHqrbJ55xwTjcUDvmpXr0Sqnbt2im///333zFw4EC4udlfWl5ejj179tjVJaLa1foDv2qiVekvQY9qSZgMaKwVv0DggtUD+RYfmMs9YBFayEJCudDCKiTIouL7DG4l0HjK8He7AJ1khYck4GFLXqC5ZiKirVTXRg8Bq8YKq2yFRapYqVdg9UZuSSsUl+sr7leS4S7J0EgyNJKAXlMOHzcdPCQLWmkvwkMqh/eV+9NLGnhcGdpzg/0QX9UEiokT3RSYUKlegyelDxo0CGfOnEFAQIDd8aKiIgwaNIhDfkQOqpogaCr3GFVOYiR3WIUMH1hh0cjw0RRiq7knDhbcCp3WCp3GCjeNDFlIKLG6odiiw8VSPUrK3DC4LfBIy8NopdHAS/JQen200rUTKtt5veRuF4uXsKKVRkaJsKCV9izWnLkL2ef84am3oKWuFN7uZdBprdBIAuWyBiVWN5TLGjxkvIwHvP4LX40bPCUPJY7angcRkRo1OKESQkCSqo9V/O9//4O3t7dTgiKimtWUbLnDDZ4SYNAAXx3uDa+WpfDzvoSWulIAFa+gKbNqUWJxx8VLepQVeOCdAfsAtHBqLPorSZCnBPhpgMM/doLlFgusfiVw18hwv5JMaSSBEqsbLpbpUXDRCy92/Q1AS4diIbrRcVK6+tU7oXrssccAVEw8Hz16NPR6vXLOarXi0KFDGDhwoPMjJKL6O6+D7F0Gd40VHtpy6DRW5T16pVY3aDQCUlnj9Ph4nwaKfDVw08rwcLPAy80CD225cr5U4warzN4nonpxxk7n3CndpeqdUPn4+ACo6KFq2bIlPD09lXM6nQ4DBgzAuHHjnB8h0U1GhlzrOYuw2tUrEVaUChklQuB0uTeeui8Nv19qBW+3MnhqLHC7klCVym4w6ErQUlcKc8tixOXehSdu2Yf2bucRqJWU+VDuktZu0re7VP2vCOXlyJVisQgrLJBxSVhxQdbgt3I/hP4lG6cu+qCVxyW00l+Ct1sp3CXbkJ8WF/U6BHmbMf9/t+Ne72O41a0YPpqK+VIeklbpAau6TUJVHBKkmwLnUKlevROq1atXAwDat2+Pv/3tb6oe3luxYgUWLVoEk8mEXr16YdmyZbjzzjubOiwiO7UlTtYqq/zKUTlxuXquRFhxSQgUCy0uyDoUyC0Q6G5GuacWIfr/VXyH0MAKSfnV4u2GoxeNaONRiEKrN0ySBe7SBXhIFd/hBVmZDA5cnbNVOWmxxVcqrvY2XRJWFAvgguyOQtkThVZvdPD+AxpJRtcWJrhryqGFgEaSlV8BILe0NVpoS1Agt4DWKgO4XHGf0tU4qj6nqpPUa1styUSLiBpTg+dQzZkzxxVxOM3nn3+OxMRErFq1CuHh4Vi6dCmioqKQnZ1dbSI9kRrJVf4Zaa2051tJpV4hWzJ1SXZHiaiYIO6jvQR3fTn83S4o79KzXlndp5Vk6CULvLSl8NKUQQsZFqHFJVlbsVIQFVsaVN5I0+1KMlN5YrwtPgsqJ3cCl2Q3FMs6WIQWWshoq/8f2ugK4KO9hFLhbheHu2SFx5XVgL7aS1facEexKLPd9ZVSw7v7qkwEqbv/iujGwDlU6levhKpv375ITU2Fn58f+vTpU+OkdJsDBw44Lbjr8fbbb2PcuHEYM2YMAGDVqlXYvHkzPvnkE8yYMaNJYyO6HlUTrJpoIeAhlcFXWwxvTSk0kgwPWOAuWe1eSgwAwe6F0EKGl6ZiCK7h8VQkUtYaNve1vfDYS1MxId62B5a+0i7oFS8+rtg+wehWBHepHB5SGbS13Gd97p/ohschP9WrV0L1yCOPKJPQhw8f7sp4HFJWVoaMjAzMnDlTOabRaBAZGYm0tLQaryktLUVpaany2Ww2uzxOuvHVNQ/KpurQXm3X2m/maU8LoSRFGlSspLMKDWRIsEKj9Aop9SW5IpmBuLIHlQXuUu3f1xDukgwPVAztaTUCHpKlXnHYkjCdZLVLqmxRVY2n2vOpbaJtPebfcliQiJylXn+bzJkzB15eXsrv6ypN6Y8//oDVakVgYKDd8cDAQJhMphqvmT9/Pnx8fJQSEhLSGKESOUVFQnVlCE1TDg/JcqVU/n1F8daUKudsv3e/ksTYSkWbklLq/G5JUoqmaixV4rj63ZaaY9SU28VCRFWIq8N+11tc+X+tgoICxMbGwmAwwNfXF3Fxcbh48WKd15SUlCA+Ph6tW7dGixYtEBMTg/z8fLs6OTk5iI6OhpeXFwICAvDSSy+hvLzcrs7OnTvRt29f6PV6dOrUCWvWrKn2XStWrED79u3h4eGB8PBwpKenV6uTlpaGBx54AN7e3jAYDLj33ntx+fLlej+DBv/zLDc3F6dOnVI+p6enY/Lkyfjggw8a2pQqzJw5E0VFRUrJzc1t6pCIaqWpWiRABxkekvVKglKuJFbeUpnyEmRvTWnFZ6kMXpoyeEjl8NJY4CFZlVfPuEvX8RfCFVoJcJeEEouXxgJvTcV32b63aiy2REqJW7JCI1XcU+V7JCJcHfJztLhIbGwsjhw5gpSUFGzatAm7d+/G+PHj67xmypQp+Pbbb7Fhwwbs2rULeXl5yhZNQMWWTNHR0SgrK8OePXuQlJSENWvWYPbs2UqdkydPIjo6GoMGDUJmZiYmT56MsWPHYuvWrUod29zqOXPm4MCBA+jVqxeioqJw9uxZpU5aWhqGDh2KIUOGID09Hfv27UNCQgI0mvr/LSSJmt5yXId77rkH48ePx8iRI2EymXD77beje/fu+OWXXzBp0iS7G21sZWVl8PLywpdffmk3NDlq1CgUFhbiX//61zXbMJvN8PHxwfnjHWFoyemudH0cGfKrvKoPsJ+Ibr/KT8ACCbIArJAqVvEJDazQKHtPWSv1Mtl6fjRX5jC5X1lx5yHJV9/lB8lulZ/nld3QK2+fcFlUDJFfqrTKr0TIsAjAIiSHYrG9y88dAh5X5mpWfZefR5VtFKqt+rN9Ry3v+KuMQ37kCPMFK/xuP4GioiIYDAbXfMeVn0kdZ70JrYeHQ21ZS0pw4vX/5/R4jx49im7dumHfvn3o168fACA5ORnDhg3DqVOnEBwcXO2aoqIi+Pv7Y926dXj88ccBAMeOHUPXrl2RlpaGAQMG4LvvvsNDDz2EvLw8ZeRp1apVmD59Os6dOwedTofp06dj8+bNyMrKUtoeMWIECgsLkZycDAAIDw9H//79sXz5cgCALMsICQnBpEmTlLnVAwYMwJ/+9Ce89tpr1/0cGvy3SVZWlrIFwRdffIEePXpgz549WLt2bY3dbI1Jp9MhLCwMqampyjFZlpGamoqIiIgmjIyaO7mB/6tfm6LGUlXlIbjKw2w6SYL7lSTEQ5LhIcnwlsrhLVnQUlNWazFIZWipKYe3ZIWXJMNDkuCOK0XSQANJKTXRXPmfu12R4CFJ0EsCXpIMb8mKlpryK99VdyzeUrkSvzsE3CGgq3SfdvdfQ0z1fY6N9d+VyCWc2ENlNpvtSuV5xNcjLS0Nvr6+SjIFAJGRkdBoNNi7d2+N12RkZMBisSAyMlI5FhoairZt2ypzntPS0tCjRw+7aTxRUVEwm804cuSIUqdyG7Y6tjZsc6sr16k6t/rs2bPYu3cvAgICMHDgQAQGBuK+++7Djz/+2KDn0OBtEywWizJBfdu2bfjzn/8MoOJBnDlzpqHNOV1iYiJGjRqFfv364c4778TSpUtRXFysrPojagy19T45yn7TzYp/EdlN3pZqXn1XmVbClcTkytwn6WryZEvartat/m8uW137WDSQIZR/ockNjMf23RrlWO0JXX3V579BfXqxiNTAmdsmVJ0rPGfOHMydO/e62zWZTNW2JXJzc0OrVq1qnb9sMpmg0+ng6+trd7zynGeTyVTjnGjbubrqmM1mXL58GefPn691bvWxY8cAACdOnAAAzJ07F4sXL0bv3r3x6aefYvDgwcjKykLnzp3r9RwanFDdcccdWLVqFaKjo5GSkqJ0j+Xl5aF169YNbc7pnnrqKZw7dw6zZ8+GyWRC7969kZycXO1hEhER3Yxyc3Pthvwqv0qushkzZmDBggV1tnX06FGnxtYUZLniH1/PPfec0vnSp08fpKam4pNPPsH8+fPr1U6DE6oFCxbg0UcfxaJFizBq1Cj06tULALBx40bV7EaekJCAhISEpg6DyCkq99RU/r0Mocx9stta4BodO9oa2rP1SlUM5l1rdd+VV8Kg8o7qUkVPlHQ1NhtrA/5ZXVNsRORcBoOhXnOopk6ditGjR9dZp2PHjjAajXYTvAGgvLwcBQUFMBqNNV5nNBpRVlaGwsJCu16q/Px85Rqj0VhtNZ5tFWDlOlVXBubn58NgMMDT0xNarRZarbbGOrY2goKCAADdunWzq9O1a1fk5OTUef+VNTihuv/++/HHH3/AbDbDz89POT5+/HhlawUiIiJyoibY2NPf3x/+/v7XrBcREYHCwkJkZGQgLCwMALB9+3bIsozw8PAarwkLC4O7uztSU1MRExMDAMjOzkZOTo4y5zkiIgJvvPEGzp49qwwppqSkwGAwKMlPREQEtmzZYtd2SkqK0kbludW2xWq2udW2jpf27dsjODgY2dnZdu0cP34cDz744DXv36bBCRUAaLValJeXKxO2unTpgvbt219PU0RERHQNan71TNeuXTF06FCMGzcOq1atgsViQUJCAkaMGKGs8Dt9+jQGDx6MTz/9FHfeeSd8fHwQFxeHxMREtGrVCgaDAZMmTUJERAQGDBgAABgyZAi6deuGkSNHYuHChTCZTJg1axbi4+OVYcoJEyZg+fLlmDZtGv76179i+/bt+OKLL7B582YlvmvNrZYkCS+99BLmzJmDXr16oXfv3khKSsKxY8fw5Zdf1vs5NDihKi4uxqRJk/Dpp58q445arRbPPvssli1bxl4qUrXmsFKr2lL+SjuZV57gXdNQYE2r22obOqs8zFdb3bq2FbCvq4FGuvp8lSHAGtpsSIyV46xPTK52PX9+uDUD3QzWrl2LhIQEDB48GBqNBjExMXj33XeV8xaLBdnZ2bh06ZJybMmSJUrd0tJSREVFYeXKlcp5rVaLTZs2YeLEiYiIiIC3tzdGjRqFV199VanToUMHbN68GVOmTME777yDNm3a4KOPPkJUVJRSpz5zqydPnoySkhJMmTIFBQUF6NWrF1JSUnDbbbfV+xk0eB+q5557Dtu2bcPy5ctx1113AQB+/PFHvPDCC/jTn/6E9957ryHNqQ73obqxNVZCVZ8VZg1Z2n+13bqvcXZCVXn/qarxVL5H2/fWJ9bGSqjqMwerMVb5MaG6cTXmPlSdZrwJrd7BfahKS/DrW87fh4oqNLiH6quvvsKXX36J+++/Xzk2bNgweHp64sknn2z2CRUREZHq8OXIqtfghOrSpUs1bkEQEBBg15VHRHWrrQelag+OXQ+HVHfP17Xev1dTb0nVOOrba2NXT+mtqtTbVanZyj1X14qxenx1x8PVgESkBg3ui46IiMCcOXNQUlKiHLt8+TLmzZvH3ciJiIhcwNEXIztjUjvVrcE9VO+88w6ioqLQpk0bZQ+qn376CR4eHnYvIyQiIiIn4ZCf6jU4obK9CHnt2rXKtu1/+ctfEBsbC09PT6cHSERERKR217UPlZeXF8aNG+fsWIiIiKgGat6HiipcV0KVnZ2NZcuWKe/w6dq1KxISEhAaGurU4IhuRnXt29TQJfjXs3XAtSeBa67EVWmi+ZU2tKh5ywgN7Lcgqe+WETV/Pyeh002IQ36q1+BJ6V999RW6d++OjIwM9OrVC7169cKBAwfQo0cPfPXVV66IkYiIiEjVGtxDNW3aNMycOdNup1IAmDNnDqZNm6a8k4eIiIichD1UqtfgHqozZ87g2WefrXb8mWeewZkzZ5wSFBEREV3FbRPUr8EJ1f33348ffvih2vEff/wR99xzj1OCIiIiokqEkwq5TIOH/P785z9j+vTpyMjIUN4I/Z///AcbNmzAvHnzsHHjRru6RERERDe6Br8cWaOpX6eWJEmwWq3XFVRT4suRb2yN9XJkR9Tnxcq1ud6X/TrjBb6OPNumuOfGwpcj37ga8+XIXV50zsuRs9/hy5FdpcE9VLKs/h9IRERENxLuQ6V+/KcTERERkYOua2NPIiIiakTcNkH1mFARERGpHIf81I9DfkREREQOYg8VERGR2nHIT/Ua3EP1wAMPYN68edWOnz9/Hg888IBTgiIiIqJKuLGn6jW4h2rnzp04fPgwDh48iLVr18Lb2xsAUFZWhl27djk9QCIiIiK1u645VNu2bYPJZMKAAQPw22+/OTkkIiIiqkxyUiHXua45VEFBQdi1axfGjBmD/v37Y8OGDejatauzYyNyuuvdtboxd1h35s7fjblLd32/q6Znqfbdzm246zk1Gc6hUr0G/+0gSRU5rl6vx7p16/Diiy9i6NChWLlypdODIyIioqvbJjhayHUa3ENV9dV/s2bNQteuXTFq1CinBUVERETUnDQ4oTp58iT8/f3tjsXExCA0NBT79+93WmBERER0BYf8VK/BQ37t2rVThv0qu+OOO1zWS/Xbb78hLi4OHTp0gKenJ2677TbMmTMHZWVldvUOHTqEe+65Bx4eHggJCcHChQtdEg8REVGj45YJqtYsNvY8duwYZFnG+++/j06dOiErKwvjxo1DcXExFi9eDAAwm80YMmQIIiMjsWrVKhw+fBh//etf4evri/HjxzfxHRAREdGNrFkkVEOHDsXQoUOVzx07dkR2djbee+89JaFau3YtysrK8Mknn0Cn0+GOO+5AZmYm3n77bSZURETUrPFdfurXbNcAFxUVoVWrVsrntLQ03HvvvdDpdMqxqKgoZGdn4/z587W2U1paCrPZbFeIiIhUhTulq16zTKh+/fVXLFu2DM8995xyzGQyITAw0K6e7bPJZKq1rfnz58PHx0cpISEhrgmaiIiIblhNmlDNmDEDkiTVWY4dO2Z3zenTpzF06FA88cQTGDdunMMxzJw5E0VFRUrJzc11uE0iIiJn4j5U6tekc6imTp2K0aNH11mnY8eOyu/z8vIwaNAgDBw4EB988IFdPaPRiPz8fLtjts9Go7HW9vV6PfR6fQMjJyIiakTcNkH1mjSh8vf3r7anVW1Onz6NQYMGISwsDKtXr4ZGY9+5FhERgZdffhkWiwXu7u4AgJSUFHTp0gV+fn5Oj52IiIjIplms8jt9+jTuv/9+tGvXDosXL8a5c+eUc7bep6effhrz5s1DXFwcpk+fjqysLLzzzjtYsmRJU4VNNxC+w815+CyJGo6r/NSvWSRUKSkp+PXXX/Hrr7+iTZs2dudsr8Lx8fHB999/j/j4eISFheGWW27B7NmzuWUCERE1fxzyU71mkVCNHj36mnOtAKBnz5744YcfXB8QERFRY2JCpXrseyciIiJyULPooSIiIrqZcQ6V+jGhIiIiUjsO+akeh/yIiIiIHMQeKiIiIpWThIAkHOticvR6qhsTKiIiIrXjkJ/qcciPiIiIyEHsoSIiIlI5rvJTPyZUREREaschP9XjkB8RERGRg9hDRUREpHIc8lM/JlRERERqxyE/1WNCRUREpHLsoVI/zqEiIiIichB7qIiIiNSOQ36qx4SKiIioGeCQnbpxyI+IiIjIQeyhIiIiUjshKoqjbZDLMKEiIiJSOa7yUz8O+RERERE5iAkVERGR2gknFRcpKChAbGwsDAYDfH19ERcXh4sXL9Z5TUlJCeLj49G6dWu0aNECMTExyM/Pt6uTk5OD6OhoeHl5ISAgAC+99BLKy8vt6uzcuRN9+/aFXq9Hp06dsGbNmmrftWLFCrRv3x4eHh4IDw9Henq63XmTyYSRI0fCaDTC29sbffv2xVdffdWgZ8CEioiISOUk2TnFVWJjY3HkyBGkpKRg06ZN2L17N8aPH1/nNVOmTMG3336LDRs2YNeuXcjLy8Njjz2mnLdarYiOjkZZWRn27NmDpKQkrFmzBrNnz1bqnDx5EtHR0Rg0aBAyMzMxefJkjB07Flu3blXqfP7550hMTMScOXNw4MAB9OrVC1FRUTh79qxS59lnn0V2djY2btyIw4cP47HHHsOTTz6JgwcP1vsZSEJwllplZrMZPj4+OH+8IwwttU0dDhERqZT5ghV+t59AUVERDAaDa77jys+k/o++Djd3D4faKreUYN/Xs5we79GjR9GtWzfs27cP/fr1AwAkJydj2LBhOHXqFIKDg6tdU1RUBH9/f6xbtw6PP/44AODYsWPo2rUr0tLSMGDAAHz33Xd46KGHkJeXh8DAQADAqlWrMH36dJw7dw46nQ7Tp0/H5s2bkZWVpbQ9YsQIFBYWIjk5GQAQHh6O/v37Y/ny5QAAWZYREhKCSZMmYcaMGQCAFi1a4L333sPIkSOVdlq3bo0FCxZg7Nix9XoO7KEiIiJSOxUP+aWlpcHX11dJpgAgMjISGo0Ge/furfGajIwMWCwWREZGKsdCQ0PRtm1bpKWlKe326NFDSaYAICoqCmazGUeOHFHqVG7DVsfWRllZGTIyMuzqaDQaREZGKnUAYODAgfj8889RUFAAWZaxfv16lJSU4P7776/3c+AqPyIiIpVz5io/s9lsd1yv10Ov1193uyaTCQEBAXbH3Nzc0KpVK5hMplqv0el08PX1tTseGBioXGMymeySKdt527m66pjNZly+fBnnz5+H1Wqtsc6xY8eUz1988QWeeuoptG7dGm5ubvDy8sLXX3+NTp061fMpsIeKiIhI/Wz7UDlaAISEhMDHx0cp8+fPr/ErZ8yYAUmS6iyVk5Lm7JVXXkFhYSG2bduG/fv3IzExEU8++SQOHz5c7zbYQ0VERHQTyc3NtZtDVVvv1NSpUzF69Og62+rYsSOMRqPdBG8AKC8vR0FBAYxGY43XGY1GlJWVobCw0K6XKj8/X7nGaDRWW41nWwVYuU7VlYH5+fkwGAzw9PSEVquFVqutsY6tjf/+979Yvnw5srKycMcddwAAevXqhR9++AErVqzAqlWr6nwGNuyhIiIiUjnbkJ+jBQAMBoNdqS2h8vf3R2hoaJ1Fp9MhIiIChYWFyMjIUK7dvn07ZFlGeHh4jW2HhYXB3d0dqampyrHs7Gzk5OQgIiICABAREYHDhw/bJWspKSkwGAzo1q2bUqdyG7Y6tjZ0Oh3CwsLs6siyjNTUVKXOpUuXAFTMrapMq9VCluu/NJIJFRERkdqpeFJ6165dMXToUIwbNw7p6en497//jYSEBIwYMUJZ4Xf69GmEhoYqPU4+Pj6Ii4tDYmIiduzYgYyMDIwZMwYREREYMGAAAGDIkCHo1q0bRo4ciZ9++glbt27FrFmzEB8frySBEyZMwIkTJzBt2jQcO3YMK1euxBdffIEpU6Yo8SUmJuLDDz9EUlISjh49iokTJ6K4uBhjxowBUDEZvlOnTnjuueeQnp6O//73v/j73/+OlJQUDB8+vN7PgUN+RERE5JC1a9ciISEBgwcPhkajQUxMDN59913lvMViQXZ2ttIbBABLlixR6paWliIqKgorV65Uzmu1WmzatAkTJ05EREQEvL29MWrUKLz66qtKnQ4dOmDz5s2YMmUK3nnnHbRp0wYfffQRoqKilDpPPfUUzp07h9mzZ8NkMqF3795ITk5WJqq7u7tjy5YtmDFjBh5++GFcvHgRnTp1QlJSEoYNG1bvZ9Ds9qEqLS1FeHg4fvrpJxw8eBC9e/dWzh06dAjx8fHYt28f/P39MWnSJEybNq1B7XMfKiIiqo/G3IdqQPRrTtmH6j+bX3FpvDezZjfkN23atBo3CTObzRgyZAjatWuHjIwMLFq0CHPnzsUHH3zQBFESERE5kRNX+ZFrNKshv++++w7ff/89vvrqK3z33Xd259auXYuysjJ88skn0Ol0uOOOO5CZmYm33377mtvfExERETmi2fRQ5efnY9y4cfjss8/g5eVV7XxaWhruvfde6HQ65VhUVBSys7Nx/vz5xgyViIjIqZy5yo9co1kkVEIIjB49GhMmTLDb2r6y+uyoWpPS0lKYzWa7QkREpCoqXuVHFZo0oarvLqzLli3DhQsXMHPmTKfHMH/+fLsdY0NCQpz+HURERHRja9I5VPXdhXX79u1IS0urtvlYv379EBsbi6SkpFp3SwVQ606tADBz5kwkJiYqn81mM5MqIiJSFWe+y49co0kTKn9/f/j7+1+z3rvvvovXX39d+ZyXl4eoqCh8/vnnyi6sERERePnll2GxWODu7g6gYrfULl26wM/Pr9a2HX0pJBERkcvJoqI42ga5TLNY5de2bVu7zy1atAAA3HbbbWjTpg0A4Omnn8a8efMQFxeH6dOnIysrC++88w6WLFnS6PESERE5lTPmQDGfcqlmkVDVh4+PD77//nvEx8cjLCwMt9xyC2bPns0tE4iIiMjlmmVC1b59e9S0wXvPnj3xww8/NEFEREREriPBCXOonBIJ1aZZJlREREQ3FWfsdM6d0l2qWexDRURERKRm7KEiIiJSOW6boH5MqIiIiNSOq/xUj0N+RERERA5iDxUREZHKSUJAcnBSuaPXU92YUBEREamdfKU42ga5DIf8iIiIiBzEHioiIiKV45Cf+jGhIiIiUjuu8lM9JlRERERqx53SVY9zqIiIiIgcxB4qIiIileNO6erHhIqIiEjtOOSnehzyIyIiInIQe6iIiIhUTpIriqNtkOswoSIiIlI7DvmpHof8iIiIiBzEHioiIiK148aeqseEioiISOX46hn145AfERERkYPYQ0VERKR2nJSuekyoiIiI1E4AcHTbA+ZTLsWEioiISOU4h0r9OIeKiIiIyEHsoSIiIlI7ASfMoXJKJFQLJlRERERqx0npqschPyIiIiIHsYeKiIhI7WQAkhPaIJdhQkVERKRyXOWnfhzyIyIiInJQs0qoNm/ejPDwcHh6esLPzw/Dhw+3O5+Tk4Po6Gh4eXkhICAAL730EsrLy5smWCIiImexTUp3tJDLNJshv6+++grjxo3Dm2++iQceeADl5eXIyspSzlutVkRHR8NoNGLPnj04c+YMnn32Wbi7u+PNN99swsiJiIgcxFV+qtcsEqry8nK8+OKLWLRoEeLi4pTj3bp1U37//fff4+eff8a2bdsQGBiI3r1747XXXsP06dMxd+5c6HS6pgidiIiIbgLNYsjvwIEDOH36NDQaDfr06YOgoCA8+OCDdj1UaWlp6NGjBwIDA5VjUVFRMJvNOHLkSK1tl5aWwmw22xUiIiJV4ZCf6jWLhOrEiRMAgLlz52LWrFnYtGkT/Pz8cP/996OgoAAAYDKZ7JIpAMpnk8lUa9vz58+Hj4+PUkJCQlx0F0RERNdJdlIhl2nShGrGjBmQJKnOcuzYMchyxZ+Cl19+GTExMQgLC8Pq1ashSRI2bNjgUAwzZ85EUVGRUnJzc51xa0RERE5j2zbB0UKu06RzqKZOnYrRo0fXWadjx444c+YMAPs5U3q9Hh07dkROTg4AwGg0Ij093e7a/Px85Vxt9Ho99Hr99YRPREREBKCJEyp/f3/4+/tfs15YWBj0ej2ys7Nx9913AwAsFgt+++03tGvXDgAQERGBN954A2fPnkVAQAAAICUlBQaDwS4RIyIiana4yk/1msUqP4PBgAkTJmDOnDkICQlBu3btsGjRIgDAE088AQAYMmQIunXrhpEjR2LhwoUwmUyYNWsW4uPj2QNFRETNmywAycGESGZC5UrNIqECgEWLFsHNzQ0jR47E5cuXER4eju3bt8PPzw8AoNVqsWnTJkycOBERERHw9vbGqFGj8OqrrzZx5ERERHSjazYJlbu7OxYvXozFixfXWqddu3bYsmVLI0ZFRETUCDjkp3rNJqEiIiK6eTljHykmVK7ULPahIiIiIlIz9lARERGpHYf8VI8JFRERkdrJAg4P2XGVn0txyI+IiIjIQeyhIiIiUjshVxRH2yCXYQ8VERGR2tnmUDlaXKSgoACxsbEwGAzw9fVFXFwcLl68WOc1JSUliI+PR+vWrdGiRQvExMQor4yzycnJQXR0NLy8vBAQEICXXnoJ5eXldnV27tyJvn37Qq/Xo1OnTlizZo3d+d27d+Phhx9GcHAwJEnCN998Uy0WIQRmz56NoKAgeHp6IjIyEr/88kuDngETKiIiIrWThXOKi8TGxuLIkSNISUnBpk2bsHv3bowfP77Oa6ZMmYJvv/0WGzZswK5du5CXl4fHHntMOW+1WhEdHY2ysjLs2bMHSUlJWLNmDWbPnq3UOXnyJKKjozFo0CBkZmZi8uTJGDt2LLZu3arUKS4uRq9evbBixYpaY1m4cCHeffddrFq1Cnv37oW3tzeioqJQUlJS72cgCcFp/5WZzWb4+Pjg/PGOMLTUNnU4RESkUuYLVvjdfgJFRUUwGAyu+Y4rP5Mib50AN41jr1Erl0ux7fQqp8d79OhRdOvWDfv27UO/fv0AAMnJyRg2bBhOnTqF4ODgatcUFRXB398f69atw+OPPw4AOHbsGLp27Yq0tDQMGDAA3333HR566CHk5eUhMDAQALBq1SpMnz4d586dg06nw/Tp07F582ZkZWUpbY8YMQKFhYVITk6u9r2SJOHrr7/G8OHDlWNCCAQHB2Pq1Kn429/+psQXGBiINWvWYMSIEfV6DuyhIiIiUjsnDvmZzWa7Ulpa6lBoaWlp8PX1VZIpAIiMjIRGo8HevXtrvCYjIwMWiwWRkZHKsdDQULRt2xZpaWlKuz169FCSKQCIioqC2WzGkSNHlDqV27DVsbVRHydPnoTJZLJrx8fHB+Hh4Q1qhwkVERGR2gk4IaGqaCokJAQ+Pj5KmT9/vkOhmUwmBAQE2B1zc3NDq1atYDKZar1Gp9PB19fX7nhgYKByjclkskumbOdt5+qqYzabcfny5XrHX7ntmmKpD67yIyIiuonk5ubaDfnp9TUPJc6YMQMLFiyos62jR486NbbmjAkVERGR2jlxp3SDwVCvOVRTp07F6NGj66zTsWNHGI1GnD171u54eXk5CgoKYDQaa7zOaDSirKwMhYWFdr1U+fn5yjVGoxHp6el219lWAVauU3VlYH5+PgwGAzw9Pa95j5Xbys/PR1BQkF07vXv3rlcbAIf8iIiI1E+WnVMawN/fH6GhoXUWnU6HiIgIFBYWIiMjQ7l2+/btkGUZ4eHhNbYdFhYGd3d3pKamKseys7ORk5ODiIgIAEBERAQOHz5sl6ylpKTAYDCgW7duSp3Kbdjq2Nqojw4dOsBoNNq1YzabsXfv3ga1w4SKiIiIrlvXrl0xdOhQjBs3Dunp6fj3v/+NhIQEjBgxQlnhd/r0aYSGhio9Tj4+PoiLi0NiYiJ27NiBjIwMjBkzBhERERgwYAAAYMiQIejWrRtGjhyJn376CVu3bsWsWbMQHx+vDFNOmDABJ06cwLRp03Ds2DGsXLkSX3zxBaZMmaLEd/HiRWRmZiIzMxNAxST0zMxM5OTkAKhY+Td58mS8/vrr2LhxIw4fPoxnn30WwcHBdqsBr4VDfkRERGqn8pcjr127FgkJCRg8eDA0Gg1iYmLw7rvvKuctFguys7Nx6dIl5diSJUuUuqWlpYiKisLKlSuV81qtFps2bcLEiRMREREBb29vjBo1Cq+++qpSp0OHDti8eTOmTJmCd955B23atMFHH32EqKgopc7+/fsxaNAg5XNiYiIAYNSoUcomoNOmTUNxcTHGjx+PwsJC3H333UhOToaHh0e9nwH3oaqC+1AREVF9NOo+VLf8FW4anUNtlctl2PbHJy6N92bGIT8iIiIiB3HIj4iISO1kAWUjKYfaIFdhQkVERKRyQsgQomGr9Gpqg1yHCRUREZHaCSe83JhTpl2Kc6iIiIiIHMQeKiIiIrUTTphDxR4ql2JCRUREpHayDEgOzoHiHCqX4pAfERERkYPYQ0VERKR2HPJTPSZUREREKidkGcLBIT9um+BaHPIjIiIichB7qIiIiNSOQ36qx4SKiIhI7WQBSEyo1KzZDPkdP34cjzzyCG655RYYDAbcfffd2LFjh12dnJwcREdHw8vLCwEBAXjppZdQXl7eRBETERHRzaLZJFQPPfQQysvLsX37dmRkZKBXr1546KGHYDKZAABWqxXR0dEoKyvDnj17kJSUhDVr1mD27NlNHDkREZGDhKjYR8qhwh4qV2oWCdUff/yBX375BTNmzEDPnj3RuXNnvPXWW7h06RKysrIAAN9//z1+/vln/OMf/0Dv3r3x4IMP4rXXXsOKFStQVlbWxHdARER0/YQsnFLIdZpFQtW6dWt06dIFn376KYqLi1FeXo73338fAQEBCAsLAwCkpaWhR48eCAwMVK6LioqC2WzGkSNHam27tLQUZrPZrhAREamKw71TMndKd7FmMSldkiRs27YNw4cPR8uWLaHRaBAQEIDk5GT4+fkBAEwmk10yBUD5bBsWrMn8+fMxb9481wVPREREN7wm7aGaMWMGJEmqsxw7dgxCCMTHxyMgIAA//PAD0tPTMXz4cDz88MM4c+aMQzHMnDkTRUVFSsnNzXXS3RERETkHh/zUr0l7qKZOnYrRo0fXWadjx47Yvn07Nm3ahPPnz8NgMAAAVq5ciZSUFCQlJWHGjBkwGo1IT0+3uzY/Px8AYDQaa21fr9dDr9c7diNERESuJGQAfDmymjVpQuXv7w9/f/9r1rt06RIAQKOx71DTaDSQ5Yo/IBEREXjjjTdw9uxZBAQEAABSUlJgMBjQrVu3esckrqyCMF/kHzwiIqqd7eeEaITVc+WwOLyvZzkszgmGaiaagXPnzonWrVuLxx57TGRmZors7Gzxt7/9Tbi7u4vMzEwhhBDl5eWie/fuYsiQISIzM1MkJycLf39/MXPmzAZ9V25urm07WhYWFhYWlmuW3NxcV/zoE0IIcfnyZWE0Gp0Wq9FoFJcvX3ZZvDczSYjmsTHF/v378fLLL2P//v2wWCy44447MHv2bDz44INKnd9//x0TJ07Ezp074e3tjVGjRuGtt96Cm1v9O+JkWUZeXh5atmwJSZIaHKfZbEZISAhyc3OV4cnmiPehHjfCPQC8D7XhfThOCIELFy4gODi42giKM5WUlDht+x+dTgcPDw+ntEX2mk1C1VyYzWb4+PigqKio2f8lxftQhxvhHgDeh9rwPoicq1nsQ0VERESkZkyoiIiIiBzEhMrJ9Ho95syZ0+y3YuB9qMeNcA8A70NteB9EzsU5VEREREQOYg8VERERkYOYUBERERE5iAkVERERkYOYUBERERE5iAmVkxw/fhyPPPIIbrnlFhgMBtx9993YsWOHXZ2cnBxER0fDy8sLAQEBeOmll1BeXt5EEddu8+bNCA8Ph6enJ/z8/DB8+HC7883lPgCgtLQUvXv3hiRJyMzMtDt36NAh3HPPPfDw8EBISAgWLlzYNEHW4rfffkNcXBw6dOgAT09P3HbbbZgzZ061HZPVfh82K1asQPv27eHh4YHw8PBqLzNXm/nz56N///5o2bIlAgICMHz4cGRnZ9vVKSkpQXx8PFq3bo0WLVogJiZGeSm7Gr311luQJAmTJ09WjjWXezh9+jSeeeYZtG7dGp6enujRowf279+vnBdCYPbs2QgKCoKnpyciIyPxyy+/NGHEdNNpurfe3Fg6d+4shg0bJn766Sdx/Phx8fzzzwsvLy9x5swZIcTVdw1GRkaKgwcPii1btohbbrmlwe8adLUvv/xS+Pn5iffee09kZ2eLI0eOiM8//1w531zuw+aFF14QDz74oAAgDh48qBwvKioSgYGBIjY2VmRlZYl//vOfwtPTU7z//vtNF2wV3333nRg9erTYunWr+O9//yv+9a9/iYCAADF16lSlTnO4DyGEWL9+vdDpdOKTTz4RR44cEePGjRO+vr4iPz+/qUOrVVRUlFi9erXIysoSmZmZYtiwYaJt27bi4sWLSp0JEyaIkJAQkZqaKvbv3y8GDBggBg4c2IRR1y49PV20b99e9OzZU7z44ovK8eZwDwUFBaJdu3Zi9OjRYu/eveLEiRNi69at4tdff1XqvPXWW8LHx0d888034qeffhJ//vOfRYcOHfjeOmo0TKic4Ny5cwKA2L17t3LMbDYLACIlJUUIIcSWLVuERqMRJpNJqfPee+8Jg8EgSktLGz3mmlgsFnHrrbeKjz76qNY6zeE+bLZs2SJCQ0PFkSNHqiVUK1euFH5+fnYxT58+XXTp0qUJIq2/hQsXig4dOiifm8t93HnnnSI+Pl75bLVaRXBwsJg/f34TRtUwZ8+eFQDErl27hBBCFBYWCnd3d7FhwwalztGjRwUAkZaW1lRh1ujChQuic+fOIiUlRdx3331KQtVc7mH69Oni7rvvrvW8LMvCaDSKRYsWKccKCwuFXq8X//znPxsjRCLBIT8naN26Nbp06YJPP/0UxcXFKC8vx/vvv4+AgACEhYUBANLS0tCjRw8EBgYq10VFRcFsNuPIkSNNFbqdAwcO4PTp09BoNOjTpw+CgoLw4IMPIisrS6nTHO4DAPLz8zFu3Dh89tln8PLyqnY+LS0N9957L3Q6nXIsKioK2dnZOH/+fGOG2iBFRUVo1aqV8rk53EdZWRkyMjIQGRmpHNNoNIiMjERaWloTRtYwRUVFAKA8/4yMDFgsFrv7Cg0NRdu2bVV3X/Hx8YiOjraLFWg+97Bx40b069cPTzzxBAICAtCnTx98+OGHyvmTJ0/CZDLZ3YePjw/Cw8NVdR90Y2NC5QSSJGHbtm04ePAgWrZsCQ8PD7z99ttITk6Gn58fAMBkMtklIQCUzyaTqdFjrsmJEycAAHPnzsWsWbOwadMm+Pn54f7770dBQQGA5nEfQgiMHj0aEyZMQL9+/Wqs0xzuo6pff/0Vy5Ytw3PPPaccaw738ccff8BqtdYYp1pivBZZljF58mTcdddd6N69O4CK56vT6eDr62tXV233tX79ehw4cADz58+vdq653MOJEyfw3nvvoXPnzti6dSsmTpyIF154AUlJSQCu/llvzn/GqPljQlWHGTNmQJKkOsuxY8cghEB8fDwCAgLwww8/ID09HcOHD8fDDz+MM2fONPVt1Ps+ZFkGALz88suIiYlBWFgYVq9eDUmSsGHDhia+i/rfx7Jly3DhwgXMnDmzqUOuUX3vo7LTp09j6NCheOKJJzBu3LgmivzmFR8fj6ysLKxfv76pQ2mQ3NxcvPjii1i7di08PDyaOpzrJssy+vbtizfffBN9+vTB+PHjMW7cOKxataqpQyNSuDV1AGo2depUjB49us46HTt2xPbt27Fp0yacP38eBoMBALBy5UqkpKQgKSkJM2bMgNForLaqybaSxmg0uiR+m/rehy3569atm3Jcr9ejY8eOyMnJAYBmcR/bt29HWlpatXd79evXD7GxsUhKSoLRaKy2kklt92GTl5eHQYMGYeDAgfjggw/s6jXlfdTXLbfcAq1WW2OcaomxLgkJCdi0aRN2796NNm3aKMeNRiPKyspQWFho18OjpvvKyMjA2bNn0bdvX+WY1WrF7t27sXz5cmzdulX19wAAQUFBdn8vAUDXrl3x1VdfAbj6Zz0/Px9BQUFKnfz8fPTu3bvR4qSbXFNP4roRbNy4UWg0GnHhwgW747fffrt44403hBBXJ3NXXtX0/vvvC4PBIEpKSho13toUFRUJvV5vNym9rKxMBAQEKKvGmsN9/P777+Lw4cNK2bp1qwAgvvzyS5GbmyuEuDqZu6ysTLlu5syZqpvMferUKdG5c2cxYsQIUV5eXu18c7mPO++8UyQkJCifrVaruPXWW1U9KV2WZREfHy+Cg4PF8ePHq523Tej+8ssvlWPHjh1T1YRus9ls9/+Fw4cPi379+olnnnlGHD58uFncgxBC/OUvf6k2KX3y5MkiIiJCCHF1UvrixYuV87a/zzgpnRoLEyonOHfunGjdurV47LHHRGZmpsjOzhZ/+9vfhLu7u8jMzBRCXN1uYMiQISIzM1MkJycLf39/1W038OKLL4pbb71VbN26VRw7dkzExcWJgIAAUVBQIIRoPvdR2cmTJ6ut8issLBSBgYFi5MiRIisrS6xfv154eXmparuBU6dOiU6dOonBgweLU6dOiTNnzijFpjnchxAV2ybo9XqxZs0a8fPPP4vx48cLX19fu9WiajNx4kTh4+Mjdu7caffsL126pNSZMGGCaNu2rdi+fbvYv3+/iIiIUH7Iq1XlVX5CNI97SE9PF25ubuKNN94Qv/zyi1i7dq3w8vIS//jHP5Q6b731lvD19RX/+te/xKFDh8QjjzzCbROoUTGhcpJ9+/aJIUOGiFatWomWLVuKAQMGiC1bttjV+e2338SDDz4oPD09xS233CKmTp0qLBZLE0Vcs7KyMjF16lQREBAgWrZsKSIjI0VWVpZdneZwH5XVlFAJIcRPP/0k7r77bqHX68Wtt94q3nrrraYJsBarV68WAGoslan9PmyWLVsm2rZtK3Q6nbjzzjvFf/7zn6YOqU61PfvVq1crdS5fviyef/554efnJ7y8vMSjjz5ql/CqUdWEqrncw7fffiu6d+8u9Hq9CA0NFR988IHdeVmWxSuvvCICAwOFXq8XgwcPFtnZ2U0ULd2MJCGEaPRxRiIiIqIbCFf5ERERETmICRURERGRg5hQERERETmICRURERGRg5hQERERETmICRURERGRg5hQERERETmICRURERGRg5hQERERETmICRURERGRg5hQEVGNPv30U7Ru3RqlpaV2x4cPH46RI0c2UVREROrEhIqIavTEE0/AarVi48aNyrGzZ89i8+bN+Otf/9qEkRERqQ8TKiKqkaenJ55++mmsXr1aOfaPf/wDbdu2xf333990gRERqRATKiKq1bhx4/D999/j9OnTAIA1a9Zg9OjRkCSpiSMjIlIXSQghmjoIIlKvsLAwPP744xgyZAjuvPNO/PbbbwgJCWnqsIiIVMWtqQMgInUbO3Ysli5ditOnTyMyMpLJFBFRDdhDRUR1KioqQnBwMMrLy/Hpp5/iqaeeauqQiIhUh3OoiKhOPj4+iImJQYsWLTB8+PCmDoeISJWYUBHRNZ0+fRqxsbHQ6/VNHQoRkSpxyI+IanX+/Hns3LkTjz/+OH7++Wd06dKlqUMiIlIlTkonolr16dMH58+fx4IFC5hMERHVgT1URERERA7iHCoiIiIiBzGhIiIiInIQEyoiIiIiBzGhIiIiInIQEyoiIiIiBzGhIiIiInIQEyoiIiIiBzGhIiIiInIQEyoiIiIiB/1/hPgcYHtmNc8AAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "eps_o, eps_e, _ = (e.real for e in LiNbO3.eps_diagonal(td.C_0 / opt_wavelength))\n", + "n_e = eps_e**0.5\n", + "r33 = 30.9e-6 # μm/V electro-optic coefficient\n", + "\n", + "# Index variation derived from the RF field\n", + "Δn = -0.5 * n_e**3 * r33 * ey_norm # Voltage-induced index perturbation\n", + "\n", + "# We plot the whole domain, but the perturbation will only take effect over the LiNbO₃, not everywhere\n", + "_ = Δn.isel(x=0).transpose(\"z\", \"y\").plot(robust=False)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "ff40809b", + "metadata": {}, + "source": [ + "We can now define an auxiliary function to create the perturbed medium using a [CustomAnisotropicMedium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomAnisotropicMedium.html) object as a function of the voltage, and return a [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) object." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "6a02f7c3", + "metadata": {}, + "outputs": [], + "source": [ + "# Use a single data point for the homogeneous directions\n", + "eps_o_array = td.SpatialDataArray(np.full((1, 1, 1), eps_o), coords={\"x\": [0], \"y\": [0], \"z\": [0]})\n", + "\n", + "\n", + "# Build a voltage-dependent optical simulation\n", + "def perturbed_solver(voltage):\n", + " perturbed_ln = td.CustomAnisotropicMedium(\n", + " xx=td.CustomMedium(permittivity=eps_o_array, subpixel=True),\n", + " yy=td.CustomMedium(permittivity=(n_e + voltage * Δn) ** 2, subpixel=True),\n", + " zz=td.CustomMedium(permittivity=eps_o_array, subpixel=True), # Assume x and z indices fixed\n", + " )\n", + " perturbed_sim = sim_opt.updated_copy(\n", + " structures=[core.updated_copy(medium=perturbed_ln), ridge.updated_copy(medium=perturbed_ln)]\n", + " )\n", + " ms = mode_solver_opt.updated_copy(simulation=perturbed_sim) # Reuse optical solver settings\n", + " return ms" + ] + }, + { + "cell_type": "markdown", + "id": "344a7394", + "metadata": {}, + "source": [ + "Next, we create a [Batch](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.web.api.container.Batch.html) and run all mode simulations in parallel." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "29e27d6c", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2f1df252f5e94d88a730c38d0fdbd088", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
15:49:36 -03 Started working on Batch containing 5 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:49:36 -03\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m5\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:49:43 -03 Maximum FlexCredit cost: 0.020 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:49:43 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.020\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9c228db6c4c44d04a0561727070d3f80", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
15:49:48 -03 Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m15:49:48 -03\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "fff003e876b24adfb3009c49bfdd5c37",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "voltages = np.arange(5)  # 0–4 V sweep\n",
+    "\n",
+    "sims = {str(v): perturbed_solver(v) for v in voltages}  # Label each job by voltage\n",
+    "\n",
+    "batch = web.Batch(\n",
+    "    simulations=sims,  # Submit perturbed optical solves\n",
+    "    folder_name=\"perturbed_mode\",\n",
+    ")\n",
+    "\n",
+    "batch_data = batch.run(path_dir=\"batch_perturbed_mode\")  # Download results when ready"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3e2f7f22",
+   "metadata": {},
+   "source": [
+    "Finally, we can observe the variation of the waveguide mode effective index as a function of the applied voltage and calculate the Vπ·L figure of merit."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "7b8459f0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "n_eff = [\n", + " sim_data.n_eff.isel(mode_index=0, f=0).item() for sim_data in batch_data.values()\n", + "] # Optical neff versus voltage\n", + "\n", + "plt.plot(voltages, n_eff, \".-\") # Observe linear index tuning\n", + "_ = plt.ticklabel_format(style=\"plain\", useOffset=False)\n", + "plt.gca().set(xlabel=\"Voltage (V)\", ylabel=\"Optical Effective Index\") # Annotate axes\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "8093b264", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Vπ·L (single-drive) = 7.62 V·cm\n", + "Vπ·L (push-pull) = 3.81 V·cm\n" + ] + } + ], + "source": [ + "# Use the slope between 0 and 4 V to approximate dn_eff/dV\n", + "dneff_dV = abs(n_eff[-1] - n_eff[0]) / (voltages[-1] - voltages[0])\n", + "\n", + "vpil = 0.5 * opt_wavelength / dneff_dV # in V·μm\n", + "\n", + "print(f\"Vπ·L (single-drive) = {vpil * 1e-4:.2f} V·cm\") # Convert to standard units\n", + "print(f\"Vπ·L (push-pull) = {vpil * 1e-4 / 2:.2f} V·cm\") # Push-pull halves required voltage" + ] + } + ], + "metadata": { + "applications": [ + "Active photonic integrated circuit components" + ], + "description": "This notebook demonstrates how to simulate a thin-film lithium niobate electro-optic modulator using Tidy3D.", + "feature_image": "./img/TFLN_EOM_Tidy3D.png", + "features": [ + "Wave port" + ], + "kernelspec": { + "display_name": "td2100rc2", + "language": "python", + "name": "python3" + }, + "keywords": "electro-optic modulator, lithium niobate, Pockels effect, Tidy3D, FDTD", + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.13" + }, + "title": "How to model TFLN EOM using Tidy3D | Flexcompute" + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/case_studies/pic_active.rst b/docs/case_studies/pic_active.rst index 15844c30..b64f0460 100644 --- a/docs/case_studies/pic_active.rst +++ b/docs/case_studies/pic_active.rst @@ -15,3 +15,4 @@ At the moment, Tidy3D’s heat solver can be used with the FDTD solver to model ../../HeatDissipationSOI ../../TransientThermoOpticShifter ../../CPOHeat + ../../TFLNTidy3d \ No newline at end of file diff --git a/img/TFLN_EOM_Tidy3D.png b/img/TFLN_EOM_Tidy3D.png new file mode 100644 index 0000000000000000000000000000000000000000..3043d885dc6da95f62f1f6f02e563723668eac0b GIT binary patch literal 86113 zcmcF~V|OJ?(CtZ1aAMoGGqJ6SolI<-6Wg|JXJXs7ZA~z7a-a2H{Db?YQH>A1YVBIJ zcXfoKyd(lFE-U~5K#-OaQw9LQW&RsigTVi5;Rew?{_B9wBGRfL5NLB>Veh{wj*Gaa zi;BIOi@TwdDZt#$-qw`C+1Sa{)Xv$$-sKk9D*ylx1Ej@-RXwt=x@D_vwcIG!N3!3y zymzDQ&3IU^g#p1aj!Iw3=W>3HtYmDgq^!QT-QKs{-gVp-Q{1ZpO!sJY6A3elXSH(OZO>cI z|JJ>0+E2`$w+VI>D?f%EO^X_QA^FJ&9S$+dXb38l$ z&)Q!weD{;<|Gn#G1lnOMqxJt?()a)M5dH02?DwVMH#-RQWRC<5K>RoRfbhft4lZp7 z%+4o2jj&j^#*-lO*zNH8;cC*cg3vEyZfHflpTx+4kR~ER;N-*p{v^TZ1^yCZ z@CcT8k>QI*8hI~s&-A+wY~Ne6-(`MZkYA~Y(&Ua0%)Y0$F^kiVc(s}%*MqD2UWe1O zK&T~`1ecCN3<82P2d1)u0?DP24G@Kb z;n+(*;`2{Cg;;yH-rXmoma+oM%~`=v`+UQ_z~Sd3NPrc;%hx2bN4O;LQ6!BhVrR&R zmBr!>^qBL=h}?EZ;sdA3L@lTRF@2yA(%hcstxxmb?~$$V zkU0ek^eA!~+;!N(OjUm>43Nz^|M;c9IPLpw^QDano8xnT`CH%j?&G3_;63CelZz5C z`Db}O6AlaqL`n{PSe4RZmb&}+0~I2*4&{WDQV4CLymZJ0xs(rpOu3HtsDZVHlO5gb~3M4zH*Ti$QV{9 zb&RQ7{d}4^to5mWrUm2|>e2r)wu}M9*LFnD{+Yljr%N4H)8?v-ao8YNmH|R1e-)Nz z?lqc={j9!NQO*fWCPxLY0A-e_kwq-5auCV%mFonksyoZb(4aUFl!cWY?$i09mr1() zUFu|KfcQue?qyt}%fP0-!jV?iokPKb|GO6GLB|*(X z9$e);;(0H`1o zTUr98p4bw%zKppemD0onuIg%sZbJa_mW=$S+3~URifnF9Y9gM05=+i_;@=N^0v7)e z{QUQWNntNosP_hPGNxOrtq7^NGsX)`v4lY!TwM_8O7QJ%+E%ks3srj}q; zv+ifSJuSuai>N|UX#0Ihh@0h}YP!Dy%B^>kidrIln30!OfE#Q`5RN%TyT$eTg+2=a*`-R<2~_PYGz-DgSsM;BkN}AdN`fcdR5q(0u8v8BF@G zMYqq_zBQ8m*XXS8fyy;kFOg(LJvOm}t6v1zuTjgV!4$!#!jXtWs6(^;z$b<)0b@j5 zj6VWkOFUZkia=81mkshUimMdhnZHcjat{(Tgx9cf_CN+^@qkM>J1O{aiRxC22)Lqp z5ZAYa-1E=CJ_JLWP$;+(9G6Bp9n~X>D-;9BY>6ep)t*Ln5#0E+;}$RZ`H3ufDi#ox zj+u-gsrIk(Ev82~vzNr&A0v%zL_=lhi7nV=*q3wCT*{L75YA{|!2EEBM9~}!_06@7oHfRO_I4Hq+m7B}-? zOU5H6phqoO`MkC~P9cSm&n{yi*5)9;Q+-j@;WCyY2G&Q*>5PHNji)zifP}uJBN52C zRpS(1*vrqw;#bnWEemk$GO0=3t(sdkJdh%S-G!m^vFnGK9UOXtNs~+M)T-w!&oH?% zV*7|CJfU0@mR>f*C6n7nB-Bu~eUN^ocQ@=;i%PQ*oE%ETk)q25>Cjejy zezbr-_yL?93z5G06RKM-GZ)q}oX(FMGq*Qyg86L0YauS1FE2AtHCgKePD1N@{2o~ zU9^~sQys^n7{m~wTF&8$*ah?V8kpFkk#q4aiopkM0vkr&k0pXalG(Sn!drZOPDE}E z^kn%B+fYbhlkXZD3d6(QEV)lrr-a=t1g))@xFBZK$0qgNd~jA$_UnGYQGB1`wIXfd z5Y?bL)MSYcba%8g@-Quj@QNY@Ge z*ZapPdlrLWagxb zfeng1q3g>;UhS$qVeZ>pXYG8eH?m_?R;%L^3BEdrg+q~L%Yhl2`Rc%m?;!%({$rk& zWRPs!U_^OcU7Z4xQVTTv+2_AUPi0E^MTZ_W(?{u5Dy0uhkVoYl0Mjs18@f?NoKDv7 zJY>tu3MEIYx7b{K_=i13lRTP|CNJ}ovQ^5#UtSou z*ct%A7s0WF9Nml@4Q$LPBZD6ovP?lU6*Yl@tX~v7!!ws6~yFAdS?z9N#Oycl_MnFHQyC(EKjjZ{IBeyWsiC7_Rhi zh*;qW!toAayd!3tW-a12cAG3vpy9qXc6EO!-l(EB7YS;DND=}@CZsf?UM^pYP9NSD z9kul03~4JOeCi*S?mNHY=9qbq3tU{#y*_eIQ-QWr8{Ulf+qvbR8}`yC@Tx#KbKED}+PJg=+>^8yA7ANhOlXajX%`cgEN)7+PMW;PY-SVh zk?93H3r_EZ8Jq^9sus?*9h*ysHVbI)yVK&@2Q}yBI(Wwg{GbUz1Vvj&y22DF5(j3s z-=?XhzL(M^&!(q0jvI%kQk~$VYQ|chqD4^D9FEk$RIJc6iUj#E8egJ9@Q|gL^3>j z&ydZm8NSp_V7Ymvh0>y{#tvpy?t1B+dX(2b!(FU-%M>YwwtepzW^`W%_A^Zm=~ z`(oeqa@f14G27jWS!;wuh6ud|Yo_Ng45Ek9H=t`?>j)@2_6Q_Jk7O`n!=)Lgbg`z6 z2xR6d0NZomqW{`&*tWa;GZNV%HbP4OinEovejr^%pN#5I`kK`0ZM*>Q$`ix!h5gm(7?HIMA+E-R32Y#R^ae^$-MePQ(ucZnAf_6R-v{t_}K6I3Eoa zPdqehR)@=gW?U@!+xQ49&$i&CPWwZq@}qqMARH|8YZK1OAjpY2umEdr(eKt0Od)7N z4iwN}DIpooxwE;Muxp76w3kcJUXUQ6BGVx1lEtcQ=e9X0T6kpAPa)~jAc(L;=>!&% ztGmbJ?lAqgt%uzQ;;dwz>knHLaU&+Nq*LC;QBVzXObH%A%s)qs2RJ zjbm6sp~DS+ZRL#TW${ zo;a0Klh^jb{s~HHh}Y3zR~5g(Yyt_}Gtpb5K-lDx<;sU78AWP8jb5f!16(SV;Y)T- zk+sATsn?AXsY)J83hBKxZHt^{Sc%!-=QeAa_$`PP+k~f@^(4I!MpC(Je(fQblXRer z^nw49o|O@8kZz5{+Y`f&ku*XG?nnRo@9pd$W;Vz7u(!+SxM}x^t@rnBkze~++U+nk zlRNLe3!DxzFg1?XA0dbf**Kpo4;z*mxylf^@`cdh!Q_lW{szZIOb8b?MkNs1txbEn z*>)xY-Q9YNn88inHsBgYupShN;hW$+u1MRd2RErPV$M9K^&6SkROAMi9lL;gT2d5k5NnsUX7P0x@*GA^@6}_CoTSNbD|}V6=9`I!iUqzs2Nx$qBoD|kTS8_G^SQ} z{rlp`0hD-|I+{A;XQH7>QzVp?ELwnn6$YJ&jfy(l`fyGL9o=1!;|MEt8~Nw3*oI}e zk>crdoWE=AuhRmdrEP>dgfyMxoeE^3ao(7T2r8DEg|V|OnG_Qe$e1xJM{Zi7?3*}eBobNwnUCsR3;(Al`NoR}o?fXNMXHTpg=_Zj zOw;0DI(s!nJiO_-UQ_u1m;f@9K72+j-5w2^?QDQ@%A38iTUj$ zKnyM0=?Uf#4!glWV^?LV0GT-l(gydHSwhvR#6qIE0E5TO&-6iy9Wf-f3#Du7Flx0@ zLdDr?(gd(H#K+6|)X@|bJ~$RE6ERX;kb$f}vIqs{qLRT?{-T-VuU02aVHruN+k(xD zgt|00KAM2h9`5Iu(KQKEV1%4)$e8eH9wV6+Q;;67U?xltM6B)pb zgleKKbnxelxGiXox;X*Gn@muIox%oaGmgYpO0od4`6{SnMo|uJXk?@!<0O%aMhTWE z5&To&$j4Muk&Ij@YwI{ydVnO+m5xeL5_B9-9b8+vMS-4j>-+) zlX_plQdoXGl&x)6fUsvq8th0>-NG>QLsmMo%`co7m}Xhcg3a*WF6CuMS+MePWjS?}RJQ^l(a^i7jC z8E*y+uPNY!vnPgSZ|q@sY;%HWL5VTwsjnbe9c9&M#J!w*Ha36mpkZ|CB&1xH9SPLt zIWCyObB_wm!NrI?1XT3m7;Nh^(Y62Hu6^>fx9Rut^Xb@ml0obxXKNPcY6GJ&x9w#2 zF>%N#`5QRo$gs3%q(2V084Bv)xngwwd^QU+DLSMdf@SoYe|@nG>n|v0)^K`w07ycF zbC^NtyP*(=nDD0XXD{iVFgCNXP2j_lr&a^oDLJ#?O;X7c= z2n8`CLqbzDiF-PmLW#TaYx0=Nd>Opem|>Yc_nneSL}y{QB8?Uu262vjzq{M(e-*`j zSAEZa-hRzLOT9pVqj2?vTtjIPji}55^}29T$wsh8H!rd2jJ8KC#}FwE3Q#80;SE`F z`Tlmx(I43{&VY?G$1;mzbDN;R3fb9ww-XzZJSm;01{ift;97jj0rAA1sKW+}vKa^%y1v*Yvd_vXabG3wQWKGXa3cro_J8yU>q z(k`1W7-*_`joX#52D^;JdsIWCC5WEnaBJhbH@jb9T-KTxVE(LjH4-Z_nJ-`loQ>Z6 zFgs{iR$3f?Kb&r?iaVTI1FCgoy{^F<+CF~f_wuCJ=q;AyCj=N(>JT$x3Vhs~3w+Fe zKccO8{`Qs#Xa&dFw5+xdVQjT6sWawn=bfIOnudov0N+@#oyIkl3Z}~#3+_ZlJul1x zhtfxHprOCk4Q_@>2(FzU{=;21Vi*{|LM?*OJw8QF&73V#-Z((RkUeGL<{g_8L!i~M z(%w-T-1?Oz&*kN9=GS@;s446f`EYvhN|(b9RDjxXiK8vboz@}!d|)Whpg7rT5LH2Z^DEp@qe_WEyBNZ+U5SDk+MX#)2}g3qTk5moP-ELw*A!gZu} zj<%P)%yg-{^1aLopj9~TPeBwJ-PrEAF2 zqhr!Dohz3l&KpelmL>$;H7}fb%ksL+=ke$^W$x&6r;qb&B^!yvOKQ8xI-P;n4~{d= zHj8^*##5B;%Uk6WrVKRBDMr(C0$BNJ7Cdx)?3M%*K*e{6a<0p*D(dq3gU>DvezU3j zdz*cWn={>=@k(2obR`<;*%t}pW*4pJ93`bL67A)P%L*fmtS|ML`eaR z1gneKtHiN`Z48n+TSzz1RM96r1~6x+%0mF7;Ij!#wVzJm)IaGaH^dKxDVt0Vqu28D zD>aeN38_YVPd1fFvqh3VNWdz!#o?r5h5phesiOZ`op7hestqP-r=mEjnOpm@4{!@Z zIwEeoEJ)h9nhN)ypDNxHYHKK`?bb*#o%7WjNx*^89LFKIjE_<+ab#XzsV63;d=?hB zo(JHVnOI=su!{z#Pn5NiS}rb_u6I`F02LCgYMf12@=%!>!4*n9&JsyY8l+`v9c&_1 z(36b0UsN~`Jc^k<^8B9rHT2&8BV(VLa=(!4gIxck>)lV$Otf9`uI<21!nh>&tifmU( zRVI?R465~SlLyIlOI|oe`lD@2&6u}}GO>y}>8WlkD<$MgHWZ#D%l*l6T=3jrpdDzG z`djGQm+VHD0K*%_7R^UhPTn96IR7l1`Q4AcruD76T1R!kDQG4p^LBpeqEiGv*(l}}|w!CWOdKFjE@>_%Jb2p`BuHs0YwbfXj}T z0>HFfB~((_3cwUtvTD+~Nhdd}FhbFxAhzhlGtLL)tXP|zsxzrWRR&0iom5migVxH! z+kUmiyNK!^vVNU$*7d#(_dcTazDzxTg=c&(M!HL)^QfEw0MILF2XvbD4o@E)HAwb^ z+u4NJ1GZqq!AAwd^n1ABK_Y}Va1C>S1!=ND(0HHhLwx92bA3GNfGL>~HOK5fGnv{g zW3_gR94<{B-=*HgTSi#D3vq3~uA*BU5|=i91`*1)?RfO3iqi=iS;$LM5EwS!Jz=EY zI?93;EMt_$#P;NEW-gYqJ|uW!pct>5rR7Z<$uf^NH*g#2_`{M1F^kR$xu($uVh^3Y z#u-H`G0R9HwZaqJVS&T zI5yYsnHl02o`U5elg60$E0@fC6&~gJ>yI}xGuj$oIw-T6?Hk2ss|ApJmKE~zot1q+ zLL_TrjvU1iuV02(D5;@Ygc`cIlu`k5`^dip$W{HXtN&c*@7K>>QyVdVJ_7r=%a~1y zc10Xo(*IivU}vl~a^B3~tG#l3;G`wR$!I(ua!_2*a7>E*2g?60(28F!cOH&xK&)Li zQp$?aFcKt@>Lfd~K*b!)TwMJln(`CAXkm;*fkBb&kp+SQ)--EC!l-hmBfC(GIST`l zO{d>Qu9`;ACQY80n}<>hLNpOMX+o3P^{FJP_=l@Bu6d!xg`4vHv+CD- z$dHhkvvHqXqf8!TWg0}IkQM5xy9f+OEZ9^{Vi-9ABgarWva*IMQ12rte5i8aTMd4R zl`)@7;vaYtYXq4kL78i}&v6ZBU9G;~yIP_yUtNW$7?u&Et>!++;ADma-N{BVG59!tCe6L^K;U$?iJ1d} zKMgtvAu2w`A(&1gI0iIaKZM%k-zcljOyGAOzjIgH4;l~$1lhc|^2$jIOFnDhcA7IK z6XY0yA9)jcgRwbX;2U--@WnB{sc)|5g<9y5Jz@OHWwkp^_)nc`N=*DkWHw6TfH}BI z!!+I`$eE<7l8Hvmg|v{koh3Ap1UsH&uzSM6>HqUO+Rg!yT``K)sp$kott7A0smFO0 zK>di*xxVWs;2rYow~qQH%NE;09pwa?;d3LPW7he^yo*WwKq)GR8BF^!+Y{^cu-!Uc zV(cHMm`aINpc|!3VsBFhgp8ppO0U@k?~l|MXW$-H5t&#U(O?p_Ho zj688&A|l(v`S5qRxP*c%q7hAn%X6ppdf=WfjE&+!WPw8lx*h(04Dtd_5L8ImqKGs~ zv0AA>Q2U1oczV9c`kGjSKTD)}`be}I_ox$r#k_jPQ_uj)FML!yiQ`tI7D$bPz+5yvRbI=L+R5_!kx84O@drkZBP znMoCX_3A`m8XOtjj#4b2y42MT9Y(xwZhPADk-Z9x#XCAgL>^|HBnB}#&sX;_iY?StKJCW9) z{}OARq44mvk+I-xSrnF>7MD_;lIDXUjhA*&)1;aIYJT($dIlchsc54iIt5M8qcLxA)ADLS(nI&UMeou?lLP0VwEo0Cx zd7pzQYlcui_Kz%nw??(0pUEv^UVb&bP4Ik(4tx`?VT-9)%6aewOo4tl@7>Yvude@w zTborzqYdzH+N(A{pX#q*J>Slkw;?@bO!qW*S!*PVe0BU^UEd-mzPIB*9aNg@+ z|KJzadB>ERz|6pi0rr?|a@U@Cirs z)}O~JC}v}JTbK!pk((0_N+%3U3OM|?Qp73GsSiQU-@Q-!RE}4St-W=GJ0bcfbE^uZ zLEWIoEr6Yil&4G%I34jaYYtPhZz8J2>l#0`@%#rBqSkqEcSXC$}= zhk8z9V=8*^piwio!m~fWI{xuA0T@D~-1;-)k*@h){hrT^iK z1~78*#ORxcxL=R=zWs_sq+)&$L1U?cOH}(WlpK@Dj>5fq%sSbhusQv_nN^05L$tw} z;n5#Y(&nB;V-e;%^e@HpOtrm?xM314lhLVj^=@5v=w}mc;-#+v64Hr4u;Q1hhLdko zjz#d1%}}u}R=MVeU3!Q9Few~W^36(Zq$mxXoN9D2ALt7_*mIG^%_N?D^Mj~VSF(#Z zS{iPwnSJWm_P*QrJDpam_p^H$>o_MAHy<%d(}2UT|cpIYg{6I1j)+;2yQxY@EG z53SR3-BuemISIGcSX_lY-n6;Z6rPJ&WTpU$F-#V52$S%iGT_tc;X>AvE&~h-Lj-`a zChnO#rC*VXm>E+C{8EP6Z@+(;D8|Y*qA}~eWi}(`2jvSKjn!(jn*<25&-p^P$ zM%k)>93=rXZnr%B%Xe*@dK$oYR92ZO#SP>dlYqbhj@`$(^dl_^<;QG+G&Q{lMI%Pg z7D`Eq!a@#e4zG_jdL7>0zlW#k{N4u2zG^1T1uC)gebC@5+o^$ALkw)J;u6|FBiCbB z?RS4axp@NyY@6Dc1Y8sKi>oWrnF}Fsu!NP<(Xmm&umi$T4xJ+A47CuMfvo(+;xOss zEhs2asSGVF67U+)EG-3NQ+E3kB(luSx|L(PP8{HpmZ(t^WfkiQKQ}MKNw2-yZ-H8uD)-&i!pQL@S;x)y`a;`<;eL^Pztih1DFp9*8 z?8OiZ`IQeW*w_IktIp>hR#M3Y3jy8|&MbU}?yXcbm;bI7G|Lo8Hw%m8;aCdCngs^Q zCfo;D&HeRu%;hb(DcK~D;!)0tO*+TqM%1INdqz7g#UgTSU)m;}I1b+rn*U^u&X?M} z?KnH!w(#m(G68LWy5Gw&7>A-H;?30zKh<(A+Kd%Afq;ZnWcK z7K)+1U4o01S)FUzTcw=S5(?A&)KJFfHgiCr6KTr5ckbH>w6m~{8lPN0k(I3+oy4}ueay*)A5QG!vGJdmPl{6 zry*A76r4Yhz>?~qV$p3@7fv*BQVjBlauKAnMcNF%*slv4XFAk&_p^cE06Yws3Tc+} z7fA<^gCqJ*b09R;cGKvEX9R>06L5895b8wSn7_~vW_@;6;w!%RInQrhEd(d;r0dLZ z;fcVJ71aEeS#xI^5sb&C$~>8U%~xMx(gIRc9b5RyM;@AZk&}-|0}iPJy-g}EOfv;^ zSjFlCzayXP94=(*t*k@nY$TI_`_Uol}Ds1r2FZD}mCq)r6s zXldNk$-Q{%?fvy}bAw}3y=|7W0?ryR6ZP&khR;)LOlhZq1K9)pGsqFajERw%JAKaC zUiSSCbv(F^1TU$xKP%$)iUh;ceBb{)GKWe;qi}Avb=4bN;24%&8?@lBEdF)zzP$&> zdKS{pe_voAZJ8c+DPbE!j2M?FRIDLt7lxaUb_Qr^B_!znK$x~e2O|`-4AxwNlUf%I z4n)WK@W|{f7gG|k8|ztdAg|();+7yxqO>EfKp9Yle1K?Q&q_QijL#rG91os5SWePv z8pkl8pG?4v9hZ@RR`g-F_WlWEz5Iu0X$i(a(|699HXwJHWkDW*a;;x=F#2KYKZMwb z+&u~kM5zx{1UAASah=m^?VLi;1GOe;+YGSt>yw{tk_aL}ndIy7Foy7)SfRt=bDOP_ zKIhN9FGzY{V{uHZcKeG2YqR2Z9*liFK3AsCt8}sr zaDzy=cieKLt437ld{|PLfFUDBaKyt7Foab`F^=I4V!=p6WD*|Hrn-9v{-(l}Vnmvl zL-im$ypeueynU7tT%EOej#!>d&a!QpFbvAA>WzyzO={1F6jm46UmC|W6K`G)?)yM9 z@6%F_FoMdGLltQFmJ!}VQzH&&nw*QKI7u+PhfLEWMTi8E8fB$7_=0&|k-oK z)WyeDpz6KG8wqGJHq^^?<`(hbR&5(^s*<`}-o3^({r7Cw;8-Gp6=%#h|Jmnv%IB?s|SDgLgxzdGn;bc#H5Id{24|&)w;u`ZNll*30jF~)y$}9=^fkt#K;v)_t76;zhdhFp(huzPKGXXA;uHZNdaiDMHPma)b)VL`xG9_QX-9f_G)J!-$iEje|sZ zlpyqG+F4W@^f2^#hQ@xt78k0#jb%)1P34r@dG>4v0fnyXzpcB(y&Kv6-1xal7`i-_8)iApY=Ry?+5F1&RrRBhiIfSzm8 z{zN*|`+)oz!kLIwb|@6!A*R~U1>wY{1j!tOB>CflMM=j7X=QPFlPPZZg~(3-v+4FD zLci-{Zj?0C2W|A`E9|e2V9cpNDANar$ABfe#+k?Ohk5JKC)(6GTB092pk&Vgs8rW8P@E&bB_MJ|};IdSsoGKxm^i>=xU# z(72z*n?`so;_%|pSBmMEG~C3QrqIglw9B+J8(yz^%tlcC7UoxR{?TyxMz?5VL8nR0 zr56woP-5gEV;b=U7p9YH-1-j z)CVw|5nsbGs&>!0eh;q-u&Y2aqhMQ|t=hwjKAkl~c%n_OMpG??*0RIJQ5{`;2UnOo zWMFvK;=J0)fZ2&eGrNcu9c9STQoi}fBt1aPWIY*x1hrfM-jw$Q9zv68n;gjjs#;1T z_5LZn47ZTdR=-5UX(^pgfvkGOjb;ESs)VaFu&bBTRiRc2)SL#?Q($fEi>j(=79l9- z)TZ3eeQ9AOV3i$a2T=x2K<&CVO2YoWV}T6+Cxru&4b+}dg3>?kqEeK$UXjk-mPu7L z)3pKoWW!_MZwRjRn#?R)rJRQn(UP5ICJB7x+mkO&H2EQc>5)#;^24axr~c!wz3<;A zCcno;zlV(5@3h{G7wLMSz*~^V8|3f(R%HDFOL2ql9^cD(x=S}>HwswI{&<8~(}ZHl zkrX#&KA%J)IXnZD`+6%50!%P0jqNw5`h9J7qrcbKC@5iTsmI`H0mlHrJtNCO)_SN^ z1Y?~RjLj2cJmaXf72A3(stl5mn>_^&9h0X(y4Eaa3m20Vmbw|ukVTLd4M)Ho`BCG1 zg$S3dma7Wgbq)fU33!|ox$7xE;7s5+eQAI6wnNV%w?l;@6G9w%#wv%+ox(cRGty~8 zocEAZ&IMqeZnBIchy%GV-8XKZFX!otZJ7fV|AXq`h`L#v{i-^gUxwd#3{x^^e}`Y< z9uTliF19>f{57cet4(JrzYRKe{mXRb#aHxI-xaeeGo(zvlGLz~)lXb=;~Fod)M94- zwaesT`h21(EpsZRIA`0JRz$B6+l4jOg+1wo5N1f#hsgkwejb4+8)+8yT)*fPp9J*P< z^8Bs%K#ox@YLrZ+Kl&*5@cWNceRTQEkT5Ay1xW#`Rt1`nmqq!zr74rdFsW?@g;M#H zxwe`@ZwU4fU~vP%uo$C~a$~r~#J!h(K}O=5oB&_Out}a(i(r4mW<8$(_e`oXAx9|W zvxXob_E=ejHqHz~3vx(`y3`vCYzonYW!yNN&xvXOOGY47kN_YBH&>Xw!uaocp%Z6% zdJ_z;k6;kwQ7j!q$~Ffjo~uVd5*h(4HX8D{ba`01^!qog|6M2WcyBKFcIdarcD|Zm9(eW z_tuw2@Ci5LwEzthVFv~%PH7TDJS~$fh{kJ9eQkaFPLlLU85(Q#dImNe>b$ntRZLkU zZd)zk>D+tw=QZexh27_Rc~uOzc0VD04wqT`N|N3QHArpHyK)C8_GrRNg`gz1<}GIE znV`}XjEo=tp_iQWuLhHr>*oBS%r6__o0OwxpDUQJVzKheZJi5;5PD_iAe@pvS+2)? zO1e%Z*{T=Qo5(^|hwFHV$ExG~5UP5Otf>Ku&}zpemx^=l)<}gG?f@lN{)1wY>S%j! z_sxHdJYYI6%%FJ*Ry3)zNwWPZa^{o;C7t@8lAC#^->#nnA4j`)6Xw|mlBET2?GN(z z&LyQ}hLA{VB~L**$H(e*SSk#bp~Xo*cs?4_GbXS2$hPnQa)K98zr$s}NBz16FU>V< z$4)y9EH}Ukia_IpH$Oqz;l4*u6_D{3?3v^j?MjizekIhnv}!#c6lK-{Rg#{VSU>I^ z7z#<6`D0dgm$>9U|^_rKTaLmYlpvhC`K95r6d?5f@e% zEOIrDv1z=q{ph*$iQWTEYKV=jXUut4C1J+-H)t-hHX9QWkn|E|^I!FES7&mJHg1l3 z`!a|n2A>82p$;*B88Ui=1ecqgux51dh1T!cPtfNnis-XKzvC@d!I$iB6_HKQ zAJy00H&+fJUzZOz6lZloc$?-Gaw)?~HpU2e%>Z-l(PCto#)}Ayoo)!IJp(cPC`2L{ zlO9%_IMgVBlr(h>k)_@i8>_90zHI^P3_L8rcGxSxba*Y*b+~1I0=% zJJ>=nCEr4*&f88D=iA1IzXz?m9b}><-&y0YC1&!GXhBN$r)B_rA7yZw?4fJoSF?<~ z9R$ibmVrHsKqG@%VQ4LUROL+P0VrZjeu6Rt<99MZXDqRMFb0VWsE&WQ?Ol7pK6Yx zkm^cwhWb=uRX}|(JgN>%Ksc#F?2**!KF9`+0NaPz%xy!1I%Sc#<~%2!5~^rw5=`ny zf1UB?LiiZ*7C?*3hFwJ;lVr>oUR;c?t$Re)?{4Ay&0XN_T>tkQwC}+-e^;5_P}$dZ zn`iUa{CD%PbTQ2Usf*J#Tc|ahomo_yV$^2M`U#)NtW8&7bFoIhLrgqVi&R36z_Glz zm`8Ltwg4X@%fM($bO1{|zJq7LAms14Y5DXl^j^+)t5~`?TOqNHl6hGg$Rw3$7wm8&6SFk z*_-MZt-sLb*O=E0_0_^--5qhBq}G2d5>S6s$84c6Jwzn2yv5C>1l6Q_c(&S3x*_9nXKp%Y!TK zl$_)6>h=vL9qONYU!VuCl=@su(VsS`u@{HTM+GwL{i{BnBh6hez)5GOR1WXF7;=j( z?~@SdI=}rl+3&b1n8^rNLQEYYq>QXZ3p1Bq_8-C zSfo`w64~IZnT+G)4>q5tU{Rd2m&p!A_tW#FH4W!s}rGux3B%o4lkQP-HKlb4X) zI7xfG?mK=rN2ET^hX;#U-}}+r_gW&)>!@D$_q*lFQh)!L$IRC)9Skg4?4tz#qlDi@ zkxmm;k_#@dg|R~2B^!yymYt{=;b#Je0QfM-Nw5|J?mn!!eF^<+JMq_m)|S7hR}1{I z6>8d-EY=K}P8Jl+CnX^SzPi9wJGtp?crv^SO|b=8?y$lEVJhT)ks^Isk*Nazt3N)3rXp%n}Q#%oAy6aSWn$?L z%Bd|18{h9SA!0FY^}2g|yj>jnx$=zO4hr8_Aokx->SSYTPFY;* zVf$#|PXRei6y+H%n*Vep(gFi4-Qg!>Bz?J15ualPUzR%EaZPM+sZM-rSQ;* znxv=6Ev|KRxqZ6aqWYE-#B%sQF*JiAF@S|J`j^mKn$EK$5Z22wD*9a*?R6Z;#s1W9 zzbUh%vbDH$f^>CdkH7Io`}OY_HS;0dC-73Knrwta!%E{jJFa@_+dM%93+|68T}AG5 zcKck&C#vB}E;DMZwRlqHi1p<$eD+93*XOaM{@2ugI~J0HAGBusU>#j#V($Cdv)_T_ z*R>>)p7-S+!G5kv84OOf6MkTbQW6;oxO^zW-dv%JUGlXv`Y>+QR^|QU0w0r%O|2LQOIuWFz}%NrxsQ87Qa{^vak3NB8K?1}Lhv8pHqfc(eO@DS( z#aBWL^h%ywj0!BVn(9dDAD|{hoA|&iD%AayUH0}-<2&(>dH%3Y$wfO39e#C8wufsi zmGuxT@`m_g?)?gq4Blh{IPKaIqm}6?uiR1>$_OZe>Qk;l zsd2(~*ymi&{kLf*!H)%dNG1f`DQRv*JGeH`%?Udvk402_yRnu-2DA(0s9DYxWq0>@ zOH#&dju-LJyyxXjDJDscGQ?G@WhM>g|h{b|Pl_g!J*KZKSu} zRy^zgIAKS8YF~jIK|E}piLy@-cpEGSxpt1Y#(8`N!Q)!mY;KqXC8D6vye znvv7EX|t8^bN#mMb$^iP&}klFz9*JlrlZa4BuVi8L1VV-<*h1jlduPuM4QmERXr?% zXVpA@nF>iWVwu_!N2a#of|Tn_H_a+huTgR9eG^TSam+5qU<@LCv)mQ<%maas) ztE8vEks^AZ=^(o~T0LUy@^F{-J3P!K(&{Bih~D^9U-z66>2BcdZJGvSy8~HJS|cy} zk4uib986&C`&2Z_w=WV6C;9cD2&b_!z#X>M{NWT| z^Y+k_N5OH7r`mClXop`sPEvVPFePG2w~};VX*o$n;C@RTC7il{!WU~Kq;(6G)wb(< zU-L#e-SdJq;BwpF_wZ}p``8bt-x4{2k)x}+s)%E0-H{>+kyFB3+HfSyV3tskTQj$c z_K3AyOuy1Dh#UG28U(s#qtq5p{iKE$y+Y8M7;14Jqzce;-$K8pwbYQt)AY5Y^_TpL z9QD#Pdk`MtSR>T2I&?-+%GM!?oe0;+l$n&Bki!HP%t$bc1s;vEee-!*vaX~eD3#Hf zqVkAJWwSK^Ch4Y^Wuqb36lIj4MAXe>U*#r+?dy~5#@+|?%-=w?Ng3Taq=px*xuDbs zNq;a~B zoE}X;6mGGlAoPF(iQM2+whnGm*&Wt-!zJla7mO79T}y{)E~;LA(O-B@arE5qw!P;k z^42E;quR|L@TO!-D*&xkR6&)ap*Gz`J*+wr`3|s_!|3lQmWO8VWOmT5f);FZ9>AsV zYQOinw;N06?UfJ$=U~qrC!#3@loF{TwNng*MCfns&ydQ_(HE)({}tyWu#k{6@A{tF_|?mUpTi3w@d7$>Aa36O;wOLmBTszb9nM85Dhe`RkZVwtRMCvW zt=Y$07pyDR1rGRtPv0$CgQ|g6Vh_gVZ=$XIY6pr&q_WjysuUe#=cIJ8e`IPfDHZ2h zYbsY;a&tY+S;xFN5n;7M>GfTp*basAOH?6}2nj3>ojA=djO3A>PuX)_j+tZs)PkNu z_k^DgU6k&Jz{K$S7WR>wW*Z}O-FK*sscm)MN?i?=KetC5IWJM_6CGi^B?IXU1dW<)bE2b%l!@Oz&8@Mk{sD?HtEdgx^&pAF$ix{Z4tc*!fi z_%EOCdFWFg{Z+g539F>xk>83c!{8B?#&dW?Y=Vspgj#jB@|hq~9NNS;gjX3fcOdKK zSia{j?towTDv_KXDaB3{>k3tfV9|WWy!ilAbFSbMHDBwFVjazIxv3@N%G}5gMS45! ztGb0$dpD-yo@aE(X8JJdyFo7flW|b@S&j!TwfO{)rPsZbz?4EqR4X^#4T#ESn|34< zo(pSGMoDRtdU{^q&EE6&RBSuqRo5r5v?F*SL0QNQN1K+&?_rCzr}q^)<%%~1QI*dLQez`2H| zh?1JMnsppu@~B{u+`&4R#dML2b9Y4Kibko}r85(NgzEC*n^(859=Q74*UkLE7wqxC zBcJyxKlKCRw^UAnSRg@BS(OsVH7}$Jl_DomtV`>&g5j`%jxv;X+Cn+nZk86hnXHBq z2c_)QkeBZ|=4^(LS!O6#2ryM(rlcm(ln1t7lx4?o2f0j$=9KB2)1ErGK$^ZW_e?Go zk?96!S!_i#tC-e=%*X;>y}*EmdfS`4?S+);VtbtP0~05vZ1fh^(_|#Wy)pPJ-^7W?ZF3*2;rOMdorBh=Kyu-HC*d4*3|$ zW7~CTN?k7JEd>QR5{Yb>9?RHm1d!=kZ0ABdwMq_6v6>5SmeOV+YZk5Bg=elbg;*tw z*Y$Hfl&=rzpG$s0DuO9Tv4|*yqyZ`-=~S1BQE2<<79z{XQ3%n~>;C+6N}=b5xAC60 zNiMW{T683{{4(vOMLunIh&f2|e9qnI0osT`>%vFjKoD6&_5dg-O@UJ8Hg|QVH^qbq zUVgQP^6=KK>97}2@||1TX`r0GX--Z3@cp*la-X+zvL$yOML?(_sR=8<$K3lngO<}N z)Z^b93K6*H>c;gpZoKAA)Vpca_s4VONZq*iq0fBc@h3j`Sjegrp$ef?5v8miTG1AY zh%QtWg=qO|NZ81d8T%DkICSt;)@YW^TUuAYUxGLt8%KDU+`nRsLX- zoNDDE9z2N_#Jmc76&IfM#fiSdeaR=<753En2bsB#4PE8e;~{PGxOCAgr!gdPt3q`_ zRDX(cAwp-R*XaaEEundYtxVUbPv2uy!cPrcrKu6QW@R_mm>FBmXSq`mbe6NBz%S9BZa?T!}PUsHAc@iz% zWnvp=3MCI9C&*opzDk)kS9y?gwo8?3sz>Q=y}b5iRS_>KeA;Ew6hu6XZ~jP2dCZH< zP%8KT?7le8g?#jXrm| z?k01o;(6x>P&;Vb`%0K{Y%YS{_=V6@c=bs*!t>PA8@f29)|@uZ7)yzz8l5P=S|I&m zGNa77@v{I2$ThaxSFe79+_>)rn*G)X$p>EY`R{w|e;0d7WUakJQLajHt~sflk)bQd zrKx2i2*3uKuvj|m4jvLmfVeQ@a*$gmNi;$#At}7u^2#Z$I$UgBrMFQ@$XxBayQDY! zJa=w|n&3nHt?p3B z!wE8C>&!)MipR)|29H3QaT|z;C7sKjiIA0#pO59fyDO0;N3+X${y#j#GjjmD8AqU~ zY{fJwoTEas{|+%v>@{Ed4#{+Ow-A~_u9TY=QQ(xcB`l*f`1uCccuNALg)pOj>+8PuIi=8Z!&|)fCufZW z2eg_$RxY;hXaF*1iMqTSL3Vg5Ed!lIii|FBe^l=CbYUs8Rc~qCA@!G?w7IJ_HPm@a zo|qRDR+{XAQQHbdy|@I?<5(Znp?&o8b^8HO+;E>%f_?`rKy(VKeHO{$Bji}+D5+8w zO+Q4Z&}C``l|o%kFS)sH_kYgv(917l^e?P~WJKJ!_n{{~`S=qb{HdS{b&(}mw~H#d zI8;cAYLUa2brI+aU7-RIgu^ZIz2-Q&;q7i1MOPc*VHwoUX#F5Hvr7NyJu@#{Vt}kZ zy%$?8X8WXE4&}6H#SU|2)*?mY9F7{!zQ8AM<#@|7_mHILwDqlhJS(!^t8&i$MA?#!?cp+>vXA_`?TL@A55GdM?hSu7MrBp{xbLA? zzU*~hAF+P;Hy)!6$`Wo#c1(ngGWer!2Z%vzq#;(Hjnx50R8%d2y&A%%b09%5a|hfJ z45xu!HBFO=StFhFArhicfi4gM6e{~XOiON#+gwV3xA?8KAXB_C;ZRzW@2`}DaawJ4 z9b6a*()iTCgQ;J(=$%?gFYY@hNvCIy38A}MX5w%NV1NN;!aZ;+J6sfX&;nzNw z9J)K_WDcqD*op_S*G(a+k4T;mRiE_+x-qH*9yM0RJGb;)YqPBpaDzFG*3 zSt~0zwU2`ks!-{?N(Z#Fy1Pf>Ux}eA|9sd8^(_DgBFxd8ZU2xit5>}Kc$Y8CgXH}$e(n1n`$5{1%7sAM z?aGsi1lItSD#`@+g(|v073)%CVFNzd2|d4@leLeal=)jH&S7QK95O?yS`}X?DN%W7 zB_)LAo~vD29E$q8nN(<~>j~f8mHTbRjJFfH9O;UXf2r; z6M5Px)O&L-#eIcPnw|?rw>z)V>a(V}lpP|ECRnZG&Qh4$c-~f<&4o@~iK#D;{S5bY zkA0IzKT1tmCI6v!U-@T`;Yls9)3nPiVB@wt@sV2}eBaeQ59)(2{ascj07R@;_rCP= z{>;O#`0|fE{_g9~d}Kt9^T@Ix!~*2QL?@=F*LNe%fOsq^2I~gtO*x68Z1(>;b0F)r zMAm&1FYZY~YBLQ`2$xI~5iEj5%X>KiyVuIDgm52Ju;OYpQoRx?@LY4t1eN?e)0Q$^ z?3hlnT9&yETXL2+t5!2mkvx)#K!>GAb|Own- zT49{gr>vBVR4!WCj6=q2>OhVls?ZJS=|ZRvOOMSWY*D_2sohrGi^bx~Tl3N;ry^X+ za>NNOu~L#=wBOXu zH`#>?oA-Utg~~Bj*W9a)90z~iX#1i_GzjIb`V80{o~j4tILa~ac#dlo=RKr}GY%u) z@++cUxyj39l-uTjx(E0zSs6|CtHEoD-#TH3+Jo~!o8g5KaXrS>_T=rye;ID;Bac2K z(_{`)M2P5%9{IdizWy6-KlQ{X9)A}iyCg(}0Rxm4d{ySZyYy{>Ytj)*ghY~nW>9VN zXJXoRun4J-JiI9<;WP(3b0FFmT(%60X~GW6QL2v3)QEW)yNP7`zsC)*ucA^SL_m0} zcWIoIV?0;+j5np4-WktP{E0Leq}NWlAK99{_l)h{gPzo*0Z{jKAS-((O16h@cF&KvEF{7T>J;QoDc626}te1dw260W{}DdEFD4GIRj+Sw1&JD;PPKi zLS`PTR5cNHktZQZQR*afv?G2O5$z78bp0>sP!D;Cv^MLAMb(ld9qs9QMew9%iX_QQ zNS>90D4angc2%zQytQ?oFEUR;Tco7s$>SZBms0YHC`B(NDUkd+WZ}3zz2b}I<^#`` z(E0*7Qj@>`;YZ)|Z@-^@OXW%!Ie5xdMZm>Fw1!qlQHsvu4k`#{11+GN1h<|tl_3P8 zy4iXbkT8!xD+^UpvO4T!afv{9_z2HdV-AN$z|vYyO~jM=7BRVQ5fMe~E~Z?}OkRi8 zJJkdZXxY~716m23ynYwJTDuAy*mQC5K1yE0b{lcwl0tbg$AiB6)nN@jC z>ZaLf(2$|K*iElW^J=3wPG)$fS)r7Iql65P3{%dp|R zZoOL`4%Fy5kTjZW+k9;L$@iZ>{#)xqFP9tlJ=+qUzjV5B|0}-u-+$ndFZjs&-?`oT zv(E32v0J{gu1EvU7la>RxG&YMLKhZ?aCP0x#8_D2zcR%oGD(wDxjPzt(=4r zvq!E}70}woRpoO!ml0s*Is}3`k)4g73?xTcc0esVr6<(D6)-?iES0>mte#*1x;vls z*RxZ>7O|3sL+`%4U;x>LJm|p6ZvUKVucW3P8r}M!uAlXM>e0H($o|ej)L`Zbd6pBc zo34>8FIpRGY#pzsASEdfado=7|K>WL_!u5~`E$?RAL~If++Xy_=RNurf9*q${iDrq z3GWf9PNyo1@Y-F6ZybwIb*$Ihc|G68d4(>xTCuLME7(9-5&lRxVd+D3anEji0!OIA zHMd`gcR_tEutN)(TohRWKJ8<3hJ}Z_GA+3*wxF}_Ai|xD-UmWYZJVOuo_FSf_MLQ( zqbR!&dE*gTbth$iL?}HGE)gOs7?^*cxgrcygX}1WXO*mNY3AVo#U`;P(p@AdCm(zN z`PAIA;b4l7K>{3MlvKa6&wx&vY0J9O%48a(lbpQ;cSRn=| z-9i{Zdbt9|y}NyGhAc0gTSltgMu4!`;XTSgML;&+KKbPDeAWkk@e`l=;ETTe8?PRH z!*dp5Ci&Vo{?(T}`jzkazy99izwpmsBeJJf+=>_)H`3k>3Hli#5lci+T;)vO8@$hO z1wc8Z{Lk*LA;EB=i)ajYQHf=Br<%J*m@c+@S7bgJY`_M_3Cjx22;9L@DGJ>%1ltB3 zunog%WXjG>p)qwS!o7zP`$y<=rN<02Mgnxhr0V=t$`^aJ)#CHn7v`v;l%IOPLMk18 zH2+KfhD>+NTM)nq1Xj``DYQU@1}!2P zVBUrJEdr=Ui&hVjO$MrFKn{oYnF%vSYD7{(HxH@Kt%Xb)u*OBJjaGAJb$wbCj?Nc2 z^ed>wkDzsqknUP!AZP?Ku{5yd3{~s9Ffd)OU=>cuc6Y+rD5oH>7=YNjLVoNSR^V;D+st&0uG@;cij3Kv`)(SXqtJAncD~y1m2OxsCJ8PrMN6d?~6p?lj zHY7FJb@e6by)d=aUGdK>fjXHvL1>Zy0Ih~nW$Urnr?GFF{6!IWue^|Sr~#l$89LcJ z#wps-i1_5KCvI#T{@?%Y-cP*$p4Wf9+`Rue7wmlxz4Gh6^?Tp-W8d|QKl+{a)JNQ* zDuLngl*%c%0uVu%i$oyfXCd<2A_KT@*bNtz;38XuszgL+Xov$Iu^@XQEU_R{23&oZ z+G$zBP2FT2@PWl~8dy)jimK5hSXjlnk^|*Tc+lC=TD@K z={xKRc5|f>2tJLI)QPeua8({~)K_B9SZ^(TSK$K_BQ6KKI=CmS0I>Tv zfJ1xJ-}QKIc(d@8+#*dDSO5|TXjNnDAtB5|t06Ls1VZZy`NeE`P`B)yorQs5c1Fz; zEITp>s|{4zNp-=7s~`yLMpL;-^9HQC%4N!HA{(v+0)qOGBM3yaE!RfW$I*FdJuFxx7t=Lw` zhK$1#m~Gc2`MX)`swB62%jEWLfUNQm8Q5dPK`n{eNo;#RA-*t;nm+Vt*MkoE@(=##j2XMCyA zq6eW7p+rVI532ugW~{a}nQ3pxILC3VdB+{{QTn5c)#!jkYH7$OttH|5A*`BA9YtQ@ zY|G94vJ=Q_^meN@rpv=i!)So77DXl5jV`j@_mN+`z1_O{s{iH^9&icu2u}_j%G3c_DX8vv$H>zhB)Y74YTGxq|O69!DEGJ?oR7;&zRzd(hJS*$$HK z_LA3p<=21P_rL4^`5)i+j{nu4`Y@=7h}a+lxCv^A!4Y(oNbg|CQ28BVi@4Y0ri-4? z+&k%TtxC3rw{V4r*s`rkk8p%NWxo1Y-PCLuhAV>)_!ZU#>WHPtlbY=g6tck1W!rIs z4~z{K-4HWM%__V2U_Z^~n%QXdFhTj}6ire&{UW{Oq|K6|dvw61(XlPO)|CXIQJp~x z3(BJg1eV=Oulpz;O+W=PRlx3>T`Jn$5$o=vTQ^`4s}P9IlUiM!q5#4}Wp0%c1o^3C zG$Q>Fwcywf2n3xK?#iTekBr9cDG^gG^_ZE_6MGuE2%qG!*<=<~o?B{fUM^_XlTX)i zl7$K^4+?fVVd@vBUb!onbt!G<&s0490G#!HOck4b@u;9?LzV6i+uBp*Erds@t^z6D z?N11{rD(nX;YVNl#=ridpZ*?;n;J=~wGo^8dC_b4bu$rJwsBUG>t$W97g@6>q?V&n z04%Tp-{4X4*i5I2J!~M8I-CgS{Xg-kc;=Zv7VvN=VFDGnz(uNXf2tZxD^18@ZY3{L zkwnUZ_UH8f&y9L;$h0X_;<~f<%694CdRs(nSzopp%l!yw^jcvPK=zO@tATc>hX>l) ziuugc=|Yz_&NwM{Tu5*B6S}SeNMJe?1EfSHR~*!JmSnuclspQrvK~@6)TaV?nyoVc z&0hZ+Jx4XWp7WjfmSM({FujQa%EEq$un70?B%Q1$=P^a^cRNHh+?T6+-}smR-XpL5 zs$clg@BG-Wy?ux)Ru5{3iY(cu3xHE48_m<*D7OUH#C_rSoa2TtLc)=?rp!Y_KygX5 z6NSLUb-25$I$|-i)8b)cb;G*A2DU4l9PT(RPz3}k<+R*bZi(%TZG%TwG)<}#+uPem z3gxMpr6l)*Mm1OOK6z7-o>YlI;6gC=pVf>z_SZF}xmdj9wznNwTca%axk1a0&#+wj zKiBX9hOUiEESc|<1ed4tn*-=zV!KP{W&lR>iT_66*+ zT%<9wyz{|EQydD|)lA4-$H(jzFY zz!l|2akHVkre2xpkh9uqHpX^+t;@~pYh0bME&!n`K&%D?1}dT;%z{W|z_HUs8(>O; zq#5T`^A_+aubXuy5P?@cQl|@$l`I&rG9eu4$_{QB*a;vq#8FS_z0bWRLRx&O(>a)= z^Wu+Z+#J>aEjKFbnVD$ff_X73ZSdA zFB9It9h|x;GOGS9FWxR+3mcHwClGkHb=jP>zn*dR001BWNkl;P={RC0Tkw?$OF0xyjtFO1+JZWE4>!b>La|3MeM?P{#C%q-d_MB zgwGSaRVrVe%4la@J+dUhIqyJ#z(QuVEk{V|gUr@v75A({x3xdH03KKbp1?+c^dJ}u zD(_)`=7ZVNgHt_rLfxFMq>-@{z~> zvAHSDBP1dshHtCf4y@)j?0h!SP0xB-&$pJ_3zii(uCS~i;ev2n3*fL?jmdaNFRC)t zrUy6-CZItSW)OkNK6n|Hb1#Hj1SZ9~BoMUl-cjj}bLVl*WZpn|!H`Zu>?;pAcvRYJ z(cqWcr{r=8>wpk~Jz^IHiluc`JcH=MBYg%VYO6-S*(RZs|J)HyYSnq^f--VJqn)5z>Dd=YMGcG#`bfzu#2)3d)OVJfruF# zA}B5%L7@>+^deFGUUm&h>Jo1EJn+a{zVX{%@~SU;_m6$o?>zpP@do1tz;F#L9*b5k zkT}Icgt7=J5IACUM#K`qMM6Y|MIac02#7?ua}i{BxMgt@*HA~8$Le8=uR2V8z)n~; zoUY(&QKe)ifD=Lt#r5r^q5%LMV?a}Z>uExdLDFNVeqY0WfH%yOfiy%S&|Xh0t#;@E zjxKCI)EbyLCw)S+0LvHbABuTnedg}`FJE0r;pYq9s*zQ|83Jj@1xl)y{gfU6nQW@O zNtU9(%#Fjo{xdlz!>(;bKq4Ma$&qbNLHNEeb-StCTL zDp*d?KS|abrUCcWf9JP;?yc*#ttyBSuqyQ6=a6d~VzP}*Z_A?Nyq%Zj`Wkv0S1V46 zK@3(Wft~!E=}x=$0x}J;3}i}0;AC&RRlNVMa+FLHZR<@HX2NjK^xhKFLO9$bOSZ!* zhpE?tC!-`f_>}f~QY4Etm^YWVzLQ4^Xp!n*TYfoW(`%iIS24KK{6u)V)7gar2sCr< z;NB>=d2;VFXiZd<8Xj2EaUx7-W;;1ciOgXFbA=P=`iIi*$Sfh#t`}h6GkMy4^gCa* z6kAYSp?dpBktf@I#uMvkgFVvS(Gus2x{^;f-r0$5G7eD&yH-7VP{eRzgdpyV`L=a&j zYru$WM@8V&#(7-xtjls*murlBaCHI<1UA`ee!UXlZA_&366K$ioceCN1-3`5LO*e^ z;kbJ&Mc|geBS8ztPPE|WCjAdHOsIi0bhh|0og@a+X(91w;>cBds9*x2e`ew1bb z=8m6~;{(){PP@0;IVzZ7U=T|?oO4q4n)*FQ(ZQUGo(2N2VxkwfjfAJ+O^M{S5(qd& z6;~(Vv=>hMJs#PnBHSN%@oV1n4gcLs9)0uA|H$9J{?xA;t`@rcnYehY7CJjMySw4Bf>*vLDfD<5RS9P5^mz^3inWVAB&rs$#9$o{DhOi4AvPh zLZoXa$6mBbwz74&RO5EZ(F2Y{%;}(C9YBj%Vs{ZwBMb+8nzATAO6i;cwjMw%iY~X#< zqLdm$k3-1rPDw&@C@=vp!W|T;iW^W^1eO)+3C9q~pO7QP%IE*-Z+-t`|HQ|&@IGX1 z7SCwI8M3*F>1JcuL{+xy?OJcE*!`e_QTeT@Q65#rS`-8c&)!B}2$y5)0e1*6JZTJA z4lE8KLa->@AqsUk#fg9yi=oNx3^X+v#o#Ohjz||@cw|}I$_8)1D}Q79;P*l!aG|8N zWC(O@NqV6l73_kzWZO46EmxWZB2g+jUYDn3F{>^!mGJ^Yr=6Gor9e`XITCw>4LL%b z`4ud+f?Z8x{>dhw0-!<%?rY>VFX2)L^(!U#xs zgeKXXU;OQ@UY%n)4^jcVF| z^P}S}m9*Twab@L~L+^RA-mqNNZ_H@qac%5Q_W2wKc)M^!@bC5xqYp>UD2Y6a| zAyG@j!?n!2zJ+kCC!B6T)@OL?7xs}7_P&Q+^~x{*s~>#q`#esY-4s~?y%Gl@xOS{# zjD?%pV&lAR>n3tF22>EzLG0v-9PR1diC@M?P#DE&t^^&VZy3{EiCJ5Nwg0*Q>qUC) z8bT2UI++x3B{l@SN(^R%*pm9w$*Q}nz2kEM_@SCu-nhZg=2X@Sk0Y02KT_WdWZb&a z2TN9YVoVknIi^5@g23zijJWMXSHJ76-;VQd*U!fZ=Bf*rM2ICkAnsTMAq==v1Xv>6T?SmqAwx_h zvQti|h;;uP(nDj3h;R)>_-%K!;pVF?G6Jh(7#726fv-5N6^a8OIV@Jbik!H8E{+49 zf+U3!TJ!;H8!$=UUj)acYrUsx#a$FV+5er0kUL@5cv|~E0vj*IrefdP(=R>aMt5=C z1-z|m4@w8DcjM%MSjRQWKL6r`XS(=~Jx@EMK8h}Biq;p7UwOtu4n9r*2mb3F06A|i z$s@Cb*M!dtDf3JSJuhWRNlrDVRhqhgbgcmF>tpJnbI>r6uXb{gYrQvies^7Qy807^ zYx|LR{RMyKzj*xTept7sLU=X`SJ(n#jZJXvzF3UShRC*z^R>v;W}t#r_EI=()a9lV z4DG5SDsinwK7$(39ktW?t_CYYQaPHKdw{R+mqS z%5hCQN|4+TSg|Fiu2X7kV##qA$lUx>5;b8!QxSqAWI9lgc{TvsyX2WZ6yk^^&!qdL z!_~#`GH?aQ?i->|q-dLPK(go=4huDh{U~MT04mGDJ4q-i?Vp_XABsQ6;~s2dZpyMm zcyHospm=*W0|}RKv2amQ#nlzKK3~f?k7d32`EU7KpZ&_O__=@a-+uIc z|C+K!gd>Sbu3W>-Wf5N>nSCOaJeT#-Lc?k44r7EDt;SteEeAIxZKoDAVrzH0*i2rLE?qwy)HW|~dAIZ+7|yVPRqS-WgU!B{CvXfaCw7*X{P zv-ZHzOgwnu>)+nBm^-*jWE^b4xttpamMK@CFL*m$?F;eg*W6Jk&EK6nkcTJAz`l_xm1x^wn?rmJhz;`#i2B z&K`?7uk9+pRV=WbhX7|4J&!FQurp%73~pJ7%WV|NaQe-1n4(Za5bo)x3{b@kAS^k9 zRsvsH>oy1#K(Pi~pbB@mWGMjwjlp0#9v9)Lz!wDcOlRvV3|%%JmB>*FVdZ{gepfP* z@*2W$#}>(Dua%Y^?5xM^qCP6&0Zry3B3q74i6oF9yJkYBB3Rymb;SekW+ai-Z3Wj5 zp=DJ4=Jlrb#E^kOfy);EkC8_&gpDe(o3l*}wIJ?|u9K{GK2G4s1^X zH&G4UHWhV8NT>_wA?Yzx34urjh=Vr2~n~O@UE8RrY&D=D6 zbz9w*VOUq#z~;E`CR94z(=fIgx0;p(M0w-qk?#7=lf)p&;z9?#qWhU#ex4f?Yt&D-^Fnk@OE`|z_59Xmqyvs1^on-L$*RA zb=(Opd4);fpQa)9A-&T^JRWzFkB>hGph=wbPVTU9k56}@L|^=He{_iS9Kj5iS>k?J zQhCCizRE*1E|*tfUfCS`45$geB;cKFY+c6zKy~gb%oD(kvlCi?&?wT2 zf#Ghw6mmufP*su+#@eo87wJF$Ez8gVMn%H9j#nhGRjilr?uG)oPc^wX2#%z+!yLuj znIl}u6$y9>IJ*O^X` zQB|}jvuwKsBOf{{Ky~v5?DTZi^?5mDIlb=B|J{dQ`KF)$m*4)x2i_H_(D;(>TZwQk zWgQ2|2&hCLdmfizEP;&mGBAV@2%!oT65@zZ4Z!2PEK4QSL@su7yHZmhGFDtU{HjHh zV+@#;cXtNsb(y!a3$BPPMPHt$XlFqj(%SZw*I`l4rvi}fN(Th$=mp*1xV*^jyXtqR ztc(4R9XN|^bTm}%N>jNDc++*qkCORQ^dIfHhKeH+K(Jn>zZ|)eM;geCT1}Id6AteP z?Dfyx$$^~8#o@gQ=JD|QaPssDUEEI}dD~sI`tU&`%?yvAbCs#xR35I8;U95?Y{wwWy(i1Qia3>$FA`RrpeA6c1L2od!X z%0yK<_S*UmA;sx1AKMvKvnNB&!xg zui^3@lID^1dL+VoN-C!10niv#=@fZ;yJjyB|Cmycc9|LhN`-F8SgU7T12&Z5!eELa3tx{!C;SWc2uyVD4jtkkuH1nEf1$#AF= z?qTjr)~fXIHEc0kbDS&Q>o6ZSBq&K9UVHQwh3G*pvEDxzEM;$Ht5u*QF9ZOKLk7xm z6fkT0Afjps&A{zZGn;64Au10igO}&{K?vtl+|^Xx4Yg$1BOLo8F1_(EKsW%*0srKH zQph`=d9`^=uIi;#cV`HZ{q=)wca-aeG{-NtzKJ%rRJ$ha;iu!`7jmiXypnpNk{}n? z1W{2KT*BBfxBuu}obS&<-Hl=S`UrkR=e`|6>k*Iz@OQuG6F>JcoMc!qi`>I2Zz`B| zS|Mb>%?2e4(RNiNU9zf-kcX9+YFYz>jbX!V8{64zb03++^^Je&Ew6t0BfuZXv6No$*-}u>odNl^HL}b~GfnWs5)qR+6W(x=(XSscb8xZgTcehN9btBbXL_(CJ$o6eu zkcBOQ11jdX%c3oe>s@^$>AZT+b~x}D{Sl(H#c-F zqfDrpc0-iwyfrzET^Y&3-&5&vbk(^C17tcZNxB3859>8#BH438IYVoRPB^fHx@>im zg%`pQv!DrBNJdmOva09ljLdCwW(J+qX-PxR%$?nlC7?hY8^Hz3)IpaDhkG(q1>*HU zL|ci3q|nqd=?qwid_qdPUrP$B?GBHEIt6CaoWPh)OT%)7FKl;`0`SI_({^+j)OP1qygmBG8jsTepL4*v7(HF1@8X%ZjiaC%)nL|YsBI+=B zM5sDs$-NtH;U4On3`DFpiZ*%PFgCNzj7pQm#0}wC9HtOGxE*rM`Yzw*M-}a^&Meql z3&(B@OdBlEKiWA3YzNsmeE=T2WZus_xJi3+wd#Lq-aK#crpwGA1CFVh)2>3wfa+(8 zK7j`=&Cz~J6=0{-Kg|ThfjK#UF)mLDR<_OT@KElNr(G)ln{{iHhhmem-x79^I=E5~ z7um-*ANFuJS@vRHRs@?vnrR|!DW&$Gs+vdD)0=uz9=i>fmpXDRqckZI+>l>>@2~yy zpZ)m?4(TOy`Mu+v=ARZ|5EO!n`r7p-i74>NQ*FD_ExPATP6QB9ilTUo=_ES$> zU*8(%^B8B6wmtE8|I5GT{s(HKn%}+mp;x}@joQ&R%baEeu9!{)qfKW<)*H#ISx{%_O2UevpXC^ZbeY;# z>9gre>TQvVHU#;BWcs-nLc2k>&>7MRbJbwnC@dBv6TpZz=0KMano*RIX>i7HX1N}b z+%=T0w!-R3=28pFwfN`>W+G6**+HpfWDqJ{7g1nYJ|+Og0LWdQP8E4Z?km1C*{jiO zf4-^kfD6_Wu2x*nY|%fIqpF;{z5Mmx^zbX*_{%@`9Up%8KUW)01$@M|aE&m`APEsc zsg#$VYl+lFh1u$q;;^diEs@Sj20~rJ#VvewfxCN_&A>XgQrFBpY_s9vLe-GP#_Ep6 zs*cw@(utLtfy_ac3VB8s@dDc1Zhz86D5{x0Q~0ANC=Swc%AANx@g6`ki72}(wcMKq zV9%k%rJL>9kGp`kc_DvBY`X*`bR^>fYY#v;=^kYQwz4o!mgDsgw$;Vbl>M&QBca-j z)N-u%0*>|Ds-3A;*&KlGI!NNK%wOaeWLYs z#_lH#?ki^cV6)H}4<7;hi0OKL{p80#_0hOz@uNP0eesa<4_oFm$P57put2Krij;wo zKSQ%|>-LjRJn_lj`NT(VJ^AUeodJqSgunG){p5fCH^2G5dvD?ob|f-A`jvm+W$ z)+%3kBsf8Wj_Ji?W?IkE$VL3D;;!9CCZG>!4`3-F)!nU;bCV<2N6D^RK=Ad+d|H zVOYS`Vnel6@@P{sz-$b(u*52y8MFMB@oK) zhyozQxV!>dq)+>=Fb_Le0MA=dE^M}Q<-H4nVOm#nwao{pd8;GZ{M?y@Y5lZfCjDl_ z;eyA@#s$tfA+~>dG^>&hWbL&`yJbPeS96GSJHcVV8vPXc^@GJ-?{`Rcr=`SRK%p~r zcLd6>RakXmSd-M*SJ+F(?%|d8w4m*|=o9+SjG}uWjF8j1>axrLTX7ydS%YaFuqkxb z`S!VQL=ee#kDzp0uANLJy6EY&-dImJZ{L2>w~YaF7vTp!^zk46H$VLifAMR~O!cl- z*fSpK%(?fWSG?jYzU8Cu_{UqE6c%u1kSl$ZVZ#jI7-wwfbf#gP5oR&qF_Xy%msmDW zR}`6i#E3}3MYvf2+=Obfa9{|;VFsD?il&D^usA|mSUc$MRRF~)hMWQ>R9Mm`ITsEw z9XeGEfZ@TchE>XlbVG>zy`*wti>hlm3o)~?4e&}Y=j>dX$#wxGu%QdJb)c5@JHa8oJU5Rw*{h z$ds%N%mie19Sy^N|jn+snoTd>k|fAU&J{MRpJQL$%)Kkwv^n zzVZ#<^59GV)UUk#dp`2+w=Q8^?m<{qYM4D&0s~x@$jaH(J0bgk)#PSLDC79zs|cx}211c1@yX6RScjDyvGxY&BT3Dzx1XS-iRQ07MEv5!41@F7Ug_ z^SBFm^8ueW8DX&}q7j!V(s!72-O^xs7w<6UeD3sl0bns3InrA|QdRciahN0ALA-q{F2e5ri_E+Peu*1=0cUVyG~5xnz&@ zwFYME#PW26cjw#u$H_wo83df9Vbm@qB>M~#$-W7W^0JA5MgmkKC`RV!rcvhcex1#kN{je}n+O3{oz z=!(7jql|<-dFTKa!_DdgcuP@K8udRKsx$1IpwlSp8v`J#>gb z7(~m+VgND177r^u)ig9+kRUNe{shL@d^59N6+x$qxi6;O9}o@s;bzuT28yh}7O+~3 zB+zOQ5MGXhJhzi(N3u zB^7gik_Pj|Pv?y8U&U@zx3TDLhWhpl@wxenAlxyv_sN8eLn3+H@g^=b%|Meg9p2Q+ zJYhNkyvsL)V{Ev6?QYFoN|r+x6=tGZM5<99ArL1~fyvzEOpjCq!>aRG%p^l91dA@~ zvaC1O)7AB@r$V-HCnek;d*?6y(tCgX3qSwW&lZ7umatqr)8BF9fzSP%FZ~Zb`Lo|| z;nKu7CgUw@VTEsF!*)(-ZgzGXQSDAr4Wx&OmvP!{6`9*7<(^Uiy4x_J*y015LL4^A zC&tFMbg3=bSb&gpzJ(*iX+VbktBY~wboYwHtSwnFh_C>d)WfiD_GY|go?SOOn@AWmV)1Zt9he#F*jJof_>XL;bB#Qi! zWIf4*r$96g#i)j|HCNT+Qgm6D)3RQv=m3!Y(3R)&_SS##wlDf`9{oLviaSr9`p)Nl z_22%tzxYGE-oVA&C`&{ZP)`{a7UtWQm9EAZ=EHp^LqMt{S|UO9AO)%rRr*zOktk?^ zC4G{f*rpX=s2pSf+_ShmlLXY=ys0>8F(p~UqjIhd-E!2!>%k(rdR8`UE;Nd|Kv8*$ zsSgWi1cchkJQ4dUN|c0yO;IU?3kM2f9rbBcT&<1BN`~V^J!G3aikG`OSk=9TlaK*W zL=i|fxVRXNqzMufr{)eBOa~W@G?xA@Bq&OzVJF$Au*sSEX<2M(z!5vzZEZuNVUH~F z!edDk^j4A!ow&DJ@4f&9*IN--{%8*oO&|1&UiKwl@>l+c54`h-e*JC#6SmusY_=M~ z69T|ySQR9KQd90oUOq=ph(q}^RQxJx&t&*A0w;!jigP+5QKTwg^OWMF+I4n zR$v3F-8gcUi;|X_Q7vcWEF?PRN7`m|wR82)PU7x@&lA#>X)hY%@!J4&nAAKk-v4O96^h zJKJQYi)cg$Neo#Z-d^&zZ@mAz14apkQ4~zmqejMTO9f-|5$@B~t5lB^xshm|G#QGt zgv}Qvk8`ECySTv>NtH&2yXP`SG9U(&Fbc)PvaqB(1L3TCUC8DDo$+n?{^SQBG76W- zShSadx}sa=7ZonV2535|ny59s1OeYmSf)`GksOq{EVJfFF=Fd+g1!E`#`9FbN=~s? zO%W{NAj7N;2^l>cIgAd5r>$Z4QW+tI-o_^eT>_%1NMq1 zNyzM&Py-%nRHEIO`Kj&!9U#eNto-it?QF09$8hAFxu0%6_~@Vhwg+GSW$*dF|NHZY z-ZkO`Ux7_T(^X;R@!1vh@~BEGov9^L=#rhjI!Qke$vhU{%(j#jX2X4$yLkjMwFFgX zE^jQtD-^^06i7`?y!?%EsrSpM8w-G5&Vzz6)LP;o8YB{$6CgX4X1`hw584(l{hI(Y zD3^hAG)q_s@l@o(?}!II%W*gGcKaE$p51<8|9N@L(Au3}$s;bKaru=l&46eQODog} zoTm-@H0<0CkXa0${de}$5~BEY^xA)!%2;r>kW-sV=G%mZOE; zG^QWB3m!(Ku*OSYMygAsxLfd{W!atzYv%K5?~A-fH@|j~~GK@^ReB0#sB=B|L=d2_+fXr&P|*%Pz_F?Dw+3M z%pnyihbELDx^WsZgXK9N&a(|0cb|-j$iS_6SPW+)9S6fLXOpb!S9YfxvT>kV9%#Rd z-8xR!nOX{ViCsHY`NYAqNPSqYPz`*l%E@%{n;6Lxn=xg-vMBbKto&bm{ABaC@7LDo zz`@Uub)VW>+V_df#x+G-R8NK(IDJ_EB+~4aC7PX1s@HUC=*jcv&k(TPH#xH(`;`ln zKd{rYJ$quTpZ@i9xlhdAx};Nxb{M>~-_sq5qKTAiyU<}7i0VU_U8D+%3<8XuK=qp9 z_V9>D@wqoVpk|2ZrX<}|f*p&nHbM!{f~?gvW(@}E5H}(wWTZh-Rkg8=ZEP1C!*^u_ zl?sjNzyG`c@)Mu{mvSK^Ocb`e!oEBOk6&|~*Wz^Tllw;)s;Vj`+=s^o-N5wiUKO;uG*M+FU)@6ozn zR(=Aihyjo8ks$?|F`x!|Rl+f}#`YGke<3LjF(4|Gu6D}WgG1}gr&x6Q1WRdjk=#n! zra%s3@}<{!x7sLiVcB1_@I~eSP>3fP)f((cN}+(ohAz^LtW`cqWC?Q;YgAbYyN>? zzb^IZVJ7g-`*{E1AOD}f_0oq5GhLVqWMw!hP|0>K*|!CCp3+DWLeBMlX}j~w0zLB? zXfokKZ__3fu$|Vz#uoGMeen8cKK;Z0^<(n?M7);9N`xYu5km(62Ewu_qjV!uf+Nb= z0VG)CHWd}##qKj9ANPHa%=t31j}MS({0_h}b)B*o1%Ef)H&?C#{gZ}dw^dDef~~oE zxa*7lASYiQCv6}Er4c^%Y>GfTe~|8~ipHRprIo+%X+Q4qlg-=QuiiO^eE7M|YoCb3 z6mVkgYK^4o6OFSKJYH5yam0bL9Ix|o^b^uE1d@SM0=?M6r;lA9&VE4=0Wv+am?*`@ zMP73$pU8&&f5{@QlXHsRmbZ9%EWda$Q6dXj+Vqr3JJ~kp@eJ3`?4Ln~UvCe0kD!OZ zmS?1c!Rt!A}2wbFa%K* z0uZ=I+L0R3?3(<&)bZKM2oSLXy%Zv<2DQrT6y#MqR6fU?)oL;oV+f!S!ywp$yhC$> zT(GkI3d~G45H3(Csx)uODB1$CSvd5pF%Y8s)U5uOs^BQcC|U3=f5E6eAH@e*Xpjno zus$-&x)QKz(8boPhizLB3CeDE!;JD)88w^^x#)-mX@{1UMa5egX%T<~Ad**v{Lwn< zQX->Z0m|n20gtCaP!SQ`i)(O%Xwq?BzRVzd^@m!h=5m719@J6`+#>Yl%lV++`~LQU z>#F2GPV-qj&w2-i#(VbfnYYL52e-$U*W1JGcAfj9`^?0zH1WNz5^0O`c10yC3I!`F zC2zFP#3z6Alb`<5C*M{b5fIIpPn=Qn@-&dBZx(=yAmB<-SO5kB8XB4w4glyr^Dpjm zx_dZkvaYiPq0k`IudN1IipfuQDDTO65@_}!J!$ZdoFkZAiKh5G!RPYWJc%p>C{lb* zSFHBSl9P*hT!XGU^1d?rOEmLe^7zT-?Y3V7*gGsuOYTx}=!e8({r(p{_cOcj3CXee z+$E8ReJUrE&+C5D23?Y6vocr)aXI)E!WSp?!XX+x?-mV3BIxQ9o0 zMAVmRNCGdlcp~RZ>>rf#U3~0Y@^^kEz8*R43Nexj3?Zw}unL@$oH_3%VR%X^k5{+^k%Q#ANE893qi+i4g^0=CF12 zKsfEFEtBi%q3IK0F3~Z;^lpC=%Ofs_1c&T5;wfBBpM*I9u3jJ_Qhiq>3*5S5vzXA? zQu#;?7V5F0L7*g+DKegpA|%Tsa-*alNs@k^USH-UH9BkB|E$yAV@y%@(_=k>bPYtfh{1`KAWDV379= z-}kG}+v5lCJ-&SJ@!|csU)PPMGb+FunR+-nr|-#I`a1OAf8(?N=qu0u_UFF$`g3>Q zF(;RcIMup1B)~knpaBu02?`cmNkFKJOI%f+ba!G#Y7|Dh(9!O7K7~boi$V%=;)Hfk zS|_8T)V`$!-B}mFL>BHX`2Db8$0I`vmE)LI9GO$;LDzv5$`e zPTp{`Wu89Z6Ns;@T<6Z3Gp$_%eI_&Z4G5T(Gz3k6S(qp zU1x^_4bo6V^Deq3`DvQ1iT3%I3P9IN%dxd5Qro(B9wB^wa9&^MZM8-KHg?TU-sXQm z&rwhy$vx%LnSo_6KzPjkcE!~qgnX9gh$JFw16o(CLzU2fk8Nf|_uNgB-zY;l3}oiF zBFLG*jOsSVwq5SVw(a|H@62&v58g*Wgq-0XbC0>xCp%3j!X8>zmy#EoPI)VG=|4Su zTYvTQ@!PM&wSXK~-da2i^Dga;9Qxkze>u@(zgCwoUI(<*0tE$pV<&ie8 z5(a7I0g#X6v)kjtLoW0(GRZ@XLu*tARupnp@{qqtHZizE)uz(W0j}qdCZkI33?t?d%w+(VK!PuEWZI;}{g9N=VdLXM#+rCq8_PEh8ss2^*UATmrM=yZYEHZK0``Lowr2Fg$jMID;`Ox+N6h%vc~9CLR903_fNSX2&ymUFWtw5kAF@MiK5&-K!OXu(b6$%FA2FW488#EveY&CA7Ok-B~t{RF~`W1r(fa~?~rkO+Q zK<$)JC`=gb#V$j|!aRfuRTGm+=nmbsF}88hZ5!M6@bdlJ;|B@qnjoB+1V2#yIG~Of_x{hmbN|h^KK~EC`omxQ`L{lH|9FcFK~qd}a6_3|stlo|*Bv=tfksWB zCi1K^!i4}C)5A$m!^YGXU4fK0yY3i;F)c{2G?%wX#7PIU_(uX@7AGZ^0?D7M;P%uJ zIE5`L>Qs;FtKIrZkP|s#d47$hi;(cHf2#V9MXLC*kB<<&#oiUfrTbGB4l}!elP6^Z zeTiU5kF)B2khe@ZRNKe0M*VMB?Ev1CrgI>wClhpVGmqdZKcw)LQ#&s?uDPFbtgS^f z=zRLdM26}xtQaHlv=GAq$d`rAkmB^N0}rns^|6F`m3MgZ@tQIF+K?m zk|vo^%%&u823alE0+w3R6bRV`n}SJFS9Q9Eh^ppnu;uQhZL@Jo@Z`!x?@kw2i6$Rn z1%DAy0hIue6DhHV-56xA$=!k!k91R{dY#0I5hwsv;KhVVOUFuZkw$uB^emmxQd}Wi zp2)7AsLZaEQ)`|Ck5BGLV3T}b*i5frvf>)7KZ)0&ylWT z^IK1fV>zlPqqjVO7Mo?W+{UD}8m>I}SLR_>)VJPx{$GCiM_>M__aAtlf;|I6wj_{tAyMUsf`quza`(v) zFgR1Xb`LTuM6(b(w`q-@=i!FOvS~{-W_e>NhYH);>J(yj)^k;ODsfs|m!)43r-cqk z9_Khc-L4)L8i%S}A70K~o;x7yud3(d-1m~pj8aR*S0Bn?ro1bfQ}6h(`vzzMyJ&$f zi@|a>B>I?0*ZZ8!!xI^-Ck{9=n*&z&h$zBIL&z|QtFJ?yx9UfEjHGX3kXyAxB1ASp zWS>*ila(`QJkteET3cCXWL|J)iS2Ry8Oqg@&QyFIqgK^XBJ$NrsY8t@oC+x9s{TWA zhVS!c07Q-4$?SYz^y=)(#g*7*=947VSixOE0;XwnR8Jg;3M~Wx$1w4j;i{sxZFl!$ zTy`1s9f^zx_6T=Tb)VDro6ou5Zrf#_?&cn9A|kZ%6ie$BmM?OiFee0!@vgk~E%}XK z<=07fs&HhPSyM{{;S3LkO2QQyARMLyEC8qu=0F-TQH^YtX>b<%e<^5@YAm~$CfS>G ziCfM-6@&H!I1w}eK%oTAiMQ4MA0d*Ra3S5vgkF75LJ03jPFm9}u>hI8i4?Z!A&TnL zRL7_K2o$7Uz(avH<@^<<1j%fmlu$^YrBY!}7*Wh?s2IQd1d4Q;rH=UV<~%;ybZ?TG zEO()mLsqU=!62zKsp)u%iWiP!=>yGJ?k7B(geA)$3E1b>Kv<(?)loe`fkKa~W)FhM z#@n{f>-Dxpcpo~XC}v;QO2lE2cGgSEi$J?1`Cn7RkPGfbb*OFIxNO_Qdu z;~*TcKn&3&tXU4MqB9(#!3cKrR#;I6Xhok)!9ne9j$l_HyqiXLi+*+oKQz`~shQ4( zB(h#MFAj0a)vRu|rG)A`TaeJ%k)`R0S)GFW1?P}aAe4+#k3zj4`}hdvEoNR}3YO!r zSox?_S?YQqu?RF1e!bq$19MW`Q{A3n#5@nu?rDDLDWA4@k6p%-@%D-0!v1fXdhc4H zlhsV`a7DMV{v{x|efX6J=n=xk$!h# z10)6X#23iv`|cK=@PJmFC+H?{30$1aM#XR-GLi`aMYV=U=b=ppEu{w;7>Sa@RD_`W z-DRJz-d=f_^G14jB%|8{H|H4im_GM?K8|@eZ?|bTv!OPUpsGdaV8Lb`Nz^yj#U``w z`fd3eU*PY);2YrUS-wR&I}z>-4@Z`S1yxjXE4$gIR8RxMycLT?6%!)Jg1Fh8x3WlL zND(XyP{Z^>VhW!GhJpqSSRgEBL|wSBf?)(;A**)94@fv|At=xQq#CGYHxmUQbSBs+ zg6wG`03EPw;kU{_OL#gjd8M6m^%K{7{EVHb-}bA_uT!CEt@1T7l~9JK~We(}-P? zq#k`LMNrBw6=+DDZN?h~cS^1M?ahi&X+WNlcT?+#QGqwKXc5gn$osXSLz8#cz} zZrdKV%YJ+5`(7-uj(PK>6CktDIsnU@1E9h3mwxsY|HF6f2fzEN@4Wr|H^2D9&wT9R zk@sLx8-=DyZx0lrlNd!Q8aWL2<}+QV2q$BvpM1I)A`0Gbuemp90t7TTS^Jz-UgerL zpapc#_L9EZ!KU~N(pAgp9l-!irQTHX)K(LDCJvEAr>Cim_Q41PLPbx*ZUnc+D5bPH0c zA&pB+v7kt-D>$y4Sr06-0>h561qVD?PD))sC)P49S{+BqBWZ1vX&Nt4in{1XVb70Z z8EKLk&qQhiW@0uC8!9F2)93Dcgfo0)$)(_T3PeoR3ujN$m48*0Y+sVja7N#n zetU;CT7wPFS*0FAUMp=t>zD%Yrn8?mKlvDXJ<2ym+a274mn z$*)#mVcgnUf7W=poW>>1x2zG~y^$hX&WPm18fQdtXbKX}8pIOrE)Niq90i!Aaw*Jt zxDa#^BfSDRPCuAxSz;FS_E_KnOA1Ey5Nib~va+F-nd#`Q z1NxA1D@$V6N!Eyp#u^w;(U0zy%SvoUu?&{sCtWHz=cw7QAZAHyxxG~uT>{hX$5U81 z%l`M(#>!7Jg4J?fbojj9_WL=VrWsKy+6xsP^ZCfd04TXZApPGav+?x|he`Kl{eVzw_?>-}~a* zzy8^`T*4!uVYoDvzj|~M=%N-6hA|kP-2j{u+2V&C>mwQqstBN@lIPoNY?cdmNNFjJ z@7;c`a|&IM&;hR#>E$1GOn8p!N>Oqd1FTs5unpw`s|o_4&FT$6X%3FRD&}NV8B7O@ z^~F!k)C#ZwEK2=}D6d+eGnj>v%TGkLTuCTxc}MwWaai`+gaA8N*afRLJVwAc@6FM;M2Q zwz?DnuiuideUV>&!EZZX&tc?)GaX3}&zWc$e1Y0pmk`q^%wour(&I5w94hH>!IpnD z4C!%YD|urX`=2_P90hPHfsl}lR?rR~knKDu-AATE`}(=gbdmK|!yy&PNg~prwvj+j zEo5!)N`G(}$+8pa?pE&&UFVQgBzwMGnsr4d&n+*Ic4R*4k|C8ZD8c4|1fa9E^zECa=c;%Oc{qCVXWBDd<@fJcCoS9xa`-(WKii0r?y6AFz`%?G5_$byYGMS$?v@N{O^DH`!8O(&GO<$O(OsSDh87W zlopcos7z6WPsIArApig%07*naR645~wVFayj-&p~B~D+qWCll)_DNB8zc>Z4{ZyRn zVt>p*-s$WEDNjBe?FBX50+FnETMOF}UBb-tvX=muy|Mk&>iNe!ezJM!-uM@TTqrD zqUtOOEPNpt;l8_TM`h`M1;l_#Be0?dl$^BDf@*h^VWmb5fozMAA#B}zZbJ4^Bt=v% z+jxF=ce~u(-Q7JtUSjT%$Qj^}Yw(i6(RGVaXnd~k^AYg<#kW9NOZY4;V zfjMSIpnzu~JhNE2s3qB9S#s27_MFVY%5@`q-fN#>7HXH#a;2JaWF0ziBRiNOz_e03 zvo{%YAUKY>rC2VMEI)cVQcE%md4?SHy+(oA5>U2-T9~u|HK1qVlX>})Mr!$&4QA)w z1)xDysjdaR&81{BOPZ@)8Y4~g5xF-$6S17y>~YIZ~I{ zJ;HAf4=>-hyXV+8)d4dccYV0gfi!X&Y1N~gvhMX$3zr@*AObN{RTEQ7y2*BT-R|sm zH|=4cw}{C;{R~3MaJ2xph;Vnt?EmKNmYe(9#owOtf4%YAH{ZSgM_>KHSAP1vhzm7F zP?Gxv2&R;UlgwR2=Rgvi^ehbEQ>#{IZ5@n&s56Z1Q4kF-=+dEWj8Z)p5TA&9iCDrj zvas}4-0OX70aqh} zkd{A`Cuf2Fm#%j0>R-5M;Lji!W^+tMPuELpi*r!*+n=_>)Ncacn`oDp0m)SenP)}PYIMa;qr zGW#3dx}%TjNqFiYW(c0;$v}<=%zg^xWK_IEp)%JmDB1o*AeZg(%Co!2hwb`s*>6|u z`5_R<49w|c$n@Rf7C!fVAKPu4cVW&jmRGMQHp$9o;Hlk9eRlme{`!~r|GtRtyS_-s zCI1?XqASx9q=`!ZOwp0&(JDrWz4s><)`NFjfYdZ>qdK3#3}LX*DRu$6O;BT!SwNg& zoQ8y~1YM>8B_KvXu#>HzI<=l9uM!Kd%g!qWxO55+lGuyn{7R4HG=aqxC?Q@>x3tTU zlHCGNt=1&c{lJK%fn?@rjh$;6F;8l&8|jtOlG0#@>j{FAAu}DKRcyl+<_c;mhO1^S z>*ThJF8z^-v34?I$wvR2_WMZ9uz(IZj9|kf{UY}2gJSOQcAKv@!H-G;VKmXU{ z`D-@9u$dYbeSgJ^xky-=J|gd=YkpQ=78addk{h?lW@=_*j7{xg+jg_fZjW=ndcrP% zSfMf1zI3{d89qFA&cVVGT>wT*@Xk2lfApj6&wuAr|MeH2|L0%$!TnuKLclGpxdNDi zQ5ZghoMpi{gYz^2kd>zgo9Dk$D#)HDUMrWHAoYC@oj&Qpe8xIH0br12ZS2Sq3Pf0vqjt&2@kB^djTl&2CAa!lThwN~}9nx}pEFQ}0 z!n?0SQb?Pr*5UivB=!9-6cIpVYX~M>eY`Y};L5}K8Tabf=;?y`ev%PX?<;IEA)^z_ zlhDVhK5_lOYQx#9Uv9g#03d}7EI%^^qAgo9(KFgg@tdT9Kw7(|n5212Ll`q?jOp&V zd!oAHJc!D%h;1~|hSVzRkxUGRLS>N{OYcZE7LdXaGK5pTyIfv<{`~sz{`IO4J4%Nt z-Es36iMm91%n>uPeF-DT%%Q7xX0xJ~lY(yFgT)Go_vE#2^6&ml{!^zj!eypg>s32c z-L)9ZA--93tTG%EH9){X?$~nK@|LfNjocVYhi_mY95%3R$YUke0ZSi96%ZI&69!D- zx+=BXvq4Dp*sY#Y9U!eDE;Q>nKUS9+pmgPTdJ9#qXOh}gL@UdO@=>BNi`-8E>(f$e z_CVtlmO4nNTwOA{MG!sFpn#U;M@p#_lxfBq=3aj}+9Y;Fn^TB|@3EOY5ImlagZ*p{kgv4I7v3a^3E4*N6S~u-~rklQDZK zDwd*p#87pO5$Zm7#-z`{Op>q%4Y1*F-{gP$_bCklddJKnGI>M*vo}JJ&trCE;){%W z^hgp%ANtxmm*W!vgrA^HJoys{4B!~l^J5<$fjP-}{#C1Io#uGhGX~ni-RKTZCkLfm zmo4nGgpQz=hq&CPW!;5`h;<``W&56lc>-{Xq~Zn-=T>qL4mwC?@gV|7cK&imVT%e( z@jl4;8NODbE}9Vd%qiL5XqR~xA3%0 z?jbr5DyQLoourY|BB7m!yfzhh)k&?bIo4g;Z2=@p+(e0>h;Dax&t7@S|zG@d;`DoCH&5-{_W8F zNzdiXj$b50Lqe)gFV(3bR0*X~Xe8B*!wG7L#U&>;MnuGJaTjjp>W*#0nD7Z5*s^Pv zLF7cgubd`Cpau(=6|gB)A<>oN5=oA4La-D?s5YjV3aDClX2NVG)ze$cbe=YHX9AAkMR+s1*RYTENFa5#B~bS_`MwM@oyv>MV*Eyk;;`0XEzKY8af z|Lrfm^|wF!_A8gz$t?y*s^#*C=w7s7L`*UwrVta(BPp37aP%e~DmewA_(nV|@e^p&elGIvNR8b})OWmr) z6p&ZnmCKSu50`TAmll^+ZCvl^6*yUMJu|G1*DX?G=lpsrs#}agywFZ0^SAP3<)a*$ zyuPR*v%ZGTjsStxavv+OT*tXQcGNKfyG=7zxnruehDsUBhym-ZWTk!EdVxShWrojB zqS1!biXOiAXtS8^R?XNeZd))`!fI^zHQ~o*AOcx(Xp&Hj5~!H1zPxMN^DK&ph^pEc zcbDz5J-ZE%I}&9RcTSIsNW_frId3+vbHDeoM-1l>f}zwJ^Sn0pe4H|)hKju6J-qni z`1QY~U!Spe2X{mj2?Rq3kx&vAX~2!#u%(M&j4OR(Sa4(*Hypze zR;?*(VDzD5F=u)AQ5{b*ZPsy(fHhCR8!KNkxU>IR)^8PZxEzf%C)unIKt+4md<4jH zOu&G-e366Jm6q}7W#kZ(1kp;Ovkh~m=769C|&4t^@fZR(%NAL+i%==t{UrHr^p{lp91N?ks}vPkek7YDs0cTD!BDEhXnC zB)#Zk=^e-_Z|^b*E!=crcZ(0!v=j&sQ5@4A8-1+CN@mm%HqaOCD(I*-5Ls-L$qYRO zTg&(yeo1MDwJB0`%`+49aOp}A^1iuV5~-%CT}^w~YqnME59*^>0ug0=E6sjT1lqnG zpOY&~iZk3DQo|)9yvHACP9cd#u0%CeY3EC|m9CUNPE1KeAl;{6!Ie^noz=lg#cW(I z+q1j-S8msb3j>%}fI$(td2B=JKIhH$i*L7me;k*K`DQ*T8fk~5SV&TI*e2l>jCxAJ z;o;l(+Ar`+ALpM2?^0~y1k*wQ2D=}7fQc20Vq#Ygf(AedCm6SgF)UM;*#Y`8f?=XQ zrojf(a7lbp%fhX*N_NCnskq2gSw!N}$%IsbnkD@jTQe?3f;QER*Qh5qib%(Ss zSIK@R77|>6Vx6)z%~^qYL~p63o+#G#g6qj9F)njg`mxFESr%HVf$K;m@uAVLRG170 zM9dhjqI17}^XtEVdwlsbpZU`L^H+xk4651?{s|G1QgVInC9g-y4^G!C&k(AsC?TR^ z5S6rW!^Ukqnr&*2;oFRz-tiAvES7Lpa~d#?7^WMV@3>>)gvOvS%pPiK?|_5(bcck+4WQ1Z=_CEJGmuva^zh8 zf`VJ>`4G3(r957rm{euASeo`kDlTn|Qgl!HgQ64$Q`cZQ@jvPDlg-<`Tt9qI<*{XL ziXKsw;*fz7wsOYNdFdynL=J>I7p|#(IEcq(no8@%5;{RMHu5j?^m9JE-?3uPvqJ-B;s*|**033FhgoeaSTVgo z1oI_$AABzK2q$~mJ%d;SwZzooC=kcVuv0S5%UZ3DGFF&dcstvT$BGhCWvbaWF87zq z{dT#Z`+hNj;Cdr~ebO(X2;`VxpYAjE8QV@?%0J6}DBC7w`?Kbl71^L)XNdRk+MnRp zem&lpdXu`(-FYK|pi%%e4pKxES`9%ZHWLlmHMZbxK~*}#gp(Y`q0|WTM0eF}Y&M2Y zF;h1cgDOl>=`US^P_%Y3`IB4;;8G~1P1o+N;|&6dUL zFYB}0Gip|I{>w9qvb73u)P)`@x&0RSbrJZ`I$-AU(`tGHgW%7=u+9+Ma^UVHJ*%XjA< zB2eJF-}>Y0?cuXO_m$_bygm?vn{pIm?SRRoonwN^b@2OGC-{(oY^G$TTnB}isi~Rj z&DS(aW!$M#S~#{`NNl%GLDKikm*BO{~_O-l(r?X z%haupYE##KX)+0l?cJVB#doy=2j>JhZB8yktjk;KtGi;>-&8d49CAmoBo-Ca@ibCM z=e~W=09~-h-7fjh0K}vn}K}5CRJubYoMD;e8 zT#AaNRn0ctHXWOqy30i&8y=l>+-@=M5k4bk#AHm5Jv=m__rVDp9L;JIHl?IY5HXNX$!Z;wUo+&vYDmA)=6XH;CUs&ygd zVn84o=@_MfRYqoy4nh0K7`r~lRmp){bdF7Xe zAJ12Y?^u}p^{|c!cg380j2A!svp;otd%XMhyN~qNnJj1U5gYUwNgc7HB{@;k({ss_K|?#J+pn)IGu(bYc_g=KuSD_}Ck7KL5?H{OH$z=KZO-`CXL}gLI$O z`62y)DuZFAZyf3Ll*vPT`AGjHL1yL>chX|H3(47>NsA(oeRcp;>Z`YLihZ3Rdn$s*DQ`OHTLaz>SH0BCg=Bj2wn4fND16 zs;S8;u>7w<;hXvp4&gS`ghL=ILu4B=M3BQ#O{ATvMWc`UUNF^iV?Zb_9v+JA^-$)J{`0|7On`lxoPnXg7n+#Vx{Nd0x!vTp?oTNC<_ao~tvT zv?dk-#>Aj#Rfe&oJ-H{S7Z_WFK=Ut2LK( z8oSBs$V@~vq|W~pLY-@n7f<>T8_2<7NY2NFw_)4IUjOuE=+N!mci(!vUU#RC?ftiZ z_|4nxv!DCQ>!18t;x0yP*dTU5v=kK55Sn#3rM&B30i*{Yr;BOX4yY{KMI$UsRSK%q zP4}Dm)%V@u=zb=Gp~_%j_;gpbo2lx>?B?UP?_12P?7Pc^gA8}Re(%5gBYoqyKl#01 zy!+2S_x7h>dr27yA-U`-JK=;c5G|#mEHFZAW@0QoR*j4V9@XWqg4bO4d<%f1VRy5` zvuAH_LG@{Z3#{Yn!qGE3Xb>+vyLb+H5vz8@;R-vt_DbOu)s62%eNg@rkB?CIrcov1 zCo@(PkpQ$tTuH5B_m-AQXHMGF?8!CkjwThtHr^|Zmy2*etU_Cp1P9W<4-kN!V#M@M zMpcQoo~UL*>`oFaxD76XMvdbZm`) z$ryKc&&Mk-F3(@NT(aoqGdq1Wy+35M_f?5(%r?|ks`r#|t8fBDY8_qjjYJfK>R zf0WXfZeP%h){c@J7(`MX1d-jPs#R@RcXVITTfz$&vZNm-BC4j_<#PY*`SaWD1E2fc zcYs3#7d%W}C+;=oeia?J-E>^`+cxac#&8ae5Y3dJ99g!4nz`;59cz+enBT$|z7t>0 zOug#GRG_-dzpSLXPxtBZc)RWM`ZD&1IdAk^_$1tFH8K)#Fu;j$#0_zk*ug8}inxKh za00G15%vtTwOL2LiET1UyVj(V^I7^3z>~$=QKF3xTmALEE}uBwx31y%wSg5~ znIkr#s6!BuwY-OqIkKWp*Qc$xufALLPA{*H%L}`_YU8d&3gs-;fn-H|$ytdxAK!iD zlVAPJ7k}gW@D}$E;`a9Y@4fl*o$u|B@2PF7qc3=fSYqrDcH%FkjY*g7$dfpH*615w z%ZBz=kNihDjw;V~yzQ?&yMI3PlTg#m-hcb8mk%#@XKdr);k`G$@rT#j%TIm!^Ows# zH*R*3@}f%X2&5ErE_M>rngg2`83GByz#2X-ss<4?qpDJ~Fm4;$*l+tjcDuRn?#_rP ztR@|hanYD&VjIWqbKCb##CB8BA^RSOkDUY>3YUIQjVk{Si(fk!o{E8W&807HV^qb4WzKp>b&*KdJ!z_jY(C^8iQ zM#xlJwwn<#RP*p`*<)+wN`A_KmFEg%+)>S`Xjp#UPkQ`h^M-YbPIS+OG$vp1r~zHh zBTnMiCP^C@JN>otc&F#vH*s9tMh`uYofNiMWbr@Q*qcysK)4mdHRuuu}DWDdwV!e!s#j(zIf zF?XH2g>UXVJ)B;Z^dKk`TqpRLJJBMaJ6vZ`1Xc9B=F2Z51hiG2VAsIb3;bvk(Vv*x z7pOu2O$WF|OND-d;+{Uph5DRiT%KB7;35HJ;1E?|Qs10|DpeKt&*v*I@Y=`jo;`cT z>|$nUEaXFqru;p|etRA7eDKxFTVMF%-+cM<-J8Dq-s2CyH$U;cAAa}cATQ0MvNiv?(c9&@wTQ%A!&&E_csg6IC0gL*9P# z`tY#()XnC8`|h{?!}a#~na}*fGroq6W}E4NF3MFoQs^MQ6@#><$#YE2a8HMtsdh!8 z2#_9{yIGchn_X}FO??la*(f~E0u7AV!iIVHHpeD5pencFdYx*x33T@mcFfnh%y;S2L$R*JQV@_C zhkif8zRr&{j25zXAAKLqz%LKDcJ)BsC{S_-HGEF@8FR$2B;c>A1j#WS-8&$+KAZy4 zciw%A(C4pw%zyBs5e`YV+^E=>L_|U&$%_g`9`KHh+vCpYsrlY1$&s+|$uVDQIZzYJ z04h|>HrvLwscs^>V>co~Hj@ZOglW)s`gFg}{W{0p+-^2DH`7p2q2}C;14M7zR*P0{ zpFm(Xbl6Dhb|+Ss>m$tI2NJ3SfZ(&L#C=%I zppS?f6E$iOs+^GWgrjC$3#xf!QI^+W47R=p ziW~cWoAV|<8J=8^AYckZc!*9>6R7HNyWMt6u-x~7d4udeJxO*iF7d`o{p0tWDN%{n zbIsxt%>;ILH-Kxt5KrJhoM=^$mf)Opabn;BSfeLS-qQhYA0>}4shW^el(U?;iZNB5 zO!2H|`#SPZcbDzI$4`EIgu1u&#dW~S#;ibvYoAjq*BO#@s>{M*Kqxz4p4w zH%L|;L`W%iWI7gxgyiwp}iFm&^Tjxx3vS z)DMz)vNF4miqnHWgC3C`u$D{G=C%Z(9k~*O+yhZfCwHJU_4wZRqwUNZqn7$l&BdD%+$h|mbnoKHr>rkZD=OotczoB>ZbR1vE=&T;Nn zd-wHx01{AmXt4+th@4Fhcvfg>Bi#|Ju@!J49ct+qc!(hK*9Zc(${U;CRo|{k_Y&=D zSO5SZ07*naROME-$9giJ`JJ=MZ3HI;_W1BVL@7$hxYi+p!?hNtOfGs(4Y=Yz!TnnKp@yUE(Bpv^O&sQJP6{EB7&MzsmK4qq)^&r@B$tkK^DZp;U zydnd1LLVZCD8tjd`E~iFjEdqd%Se~jlJ-!SFMXn`WWd3-AbkN$^j?;b6Uh%}PZ^Zj z@db#c8eTy|ij~?nZ|}YT{tsV!@u@L1=q3YnQX)jm4#Uqt6?!YAi%5#3cmi3$bg6{;Rw-W zyP1+BIU=4PBQzvrB+$e}iX{S=LQ7jF;XsS?t|zw@fb@$}vI5XlB8wuQvtc!#2@RFi zIUf@>#Kyp@&p$SF z=-A#JKm6dmx97fJ;NxB&U%vJAKmNU+`}{9{;**~xIYx}J0Z_9Hb-NXlEZ-hP8Mk4> zhGuWPrEtnE>NeM%nUir5sNAXUsv@E~XOc}O36}SwFo=q4j^8lTZO)6?ql(?cKn=gS zOm*>a?V@o7B2`Z{5y%PO$1*zWnQBI#aIE-0pqnsppQuy5sK$?;yZJbc4*z&iE z*xg*alD0I6`E{uX>u@ivSfC}D$-q-A@zjF;ryoDryva(8u>-eLz;n8u%4r`~tg$Xx zpbn4rc3k09m(67*F;6;dDST1s83OGfbajNVJ&63;)P?KFc3ZAi=~BT#e(;L?%IK_6 zuPrE~Emn6_l{Rkm!UnHu%T}fAdXMn9o$_~*_mvBnF?;n)OcT-uW z{?C2>Z#=ty_Ra?{RfjM$GdmnG(?0rS^=`__?zUAeAT@Tn=sjsZ0_;QCd!5-hp+Isb zR-!KyQMGNmv+bgG3AutZi|%?cf}s?r?-4tFci-Ljhzt7mmF>^wo^;qI5VbLK(uhdc z<)2WX-qw>hT`R6YNV(8K-`su9P@|fwGXhQf10_KsCdHHrH3=6}2~!(nwN1_z8SBmh z)T~`BvsDf8JNk-f6K0wP@n!E+BZAP-P-xURGT}c{+AyF@~V6q%r0qfzw<*fE_e5!L`>3!V^{!NKqZ_A zQI(?MxB6)}8X-(tOf^eMh6dL0uY1+%{H~fA%uo^ChUhD5V~n9{@4x%j?fOz6&n`Co z@jKuA!`togQ$O>CJ3a@njioml|-fcLK55i&OAm3R4|3gXXIhqXTaqb@$yz=VvSAX>OyBN9Tp+XXLP+{7@bws8? z6`Ig`FH*G)g$k+%41gMNTH$tyXE&GtQ1xF-dcCQQG48gz$IIn*)wv70zL+BJG$Ui5 zyXtMb*{0(%#x}-fA4AMEjCuqXb-NH#&7?@)#d^h}oGguk{!Os{oYq%O7^Z_G28TQ8 z5w7M8?+q%v97+o%38AQ(TF_JnERd}MYg2=LvK0~<)`iqrhIPUbp$52$=7`Qvg{Wq^ zi9%9YW%!gg*3e|EzM)#yE1l;|v^NBrmM+U;XMp_f@BMbTf9Xqq{Xqo4 z&meMk{F^`eA&L9@XUO>>KKBsS5F6A1F+@;8#L}#`a>>IVgd(z!bWTN0V!pH+10ggd z(frg{lr4 zV~lO6)u%6OTr0bbzpfT^*}hA{OsXzUciVOMT|7Kuihx4P0x%I(hN`OU002|l?PmLJ z>LYF%^9q0-fM;-?QI!F~)^TkiRxi+;B%3(onVnx9z*|b&<;{%9K?V%A(m&w;ss&tL zYX^`GmRG}?L-%AbSFvM)0E8oRkGp*RNW>Tb?Y$4) zcfY>&;^XqC-znxu5=u0g?&848X#=1~C?w>F1#@Ymy^!URPy)1N&Rff^wX)@%s~GI= z?tXvv{PFhuc71eb_zfo-?MVM4$FI86r@On)$Y;c|Q*((CEZx_kL(Tf)50421^ZZFW z8oei6LIXfVg`v7(z%T~MOGMb<$QFE0q&Hyr?)iet^eMqZHLsYYI2^0!lxzfy5M%9pq0$PKn5i7z9s8ZE{2!~3N zg(JcgUcE!ZtL>U+q=G_|lo|$g9Nqb0CO}#^OQ^C;7Qjd3Y?wjB4?@OrtsC;0pS?qA<;`nfND?LF`r__L&{irJfQe*f_yE_csNt!ZA4 z8I)%3U>7lnsM^>@jkDJT`LiMJVu>v+ zBCUpq#HA>r5?gi!vSDNFx0{;#KBsy(vN~JTgdSlw>bRDMi@&^gBgcPZW5s7)t* zPvOBzz^xFf4FnH90^*b&`mv9Xn0s46CzeL)K;W=lWrL%iIijTc>)8RXsAz>m%b2lw zMvLVoa%BJ7!7Kvj0TU+t*s)e7bJlluOxA|&|7Yz@n=Q+Z>#(&l_qq4IS3^(eCO}#S zNsDfR5+vFL=&&8K1zQq9Ivfrv!u~z{K@5i+VNw=piXq7|XwaO30?Yt72m{fL>Y>Ir z-LrS5KV;@U=T%cceZU2}>eYRBIA`zNnJZULgxAc|N<`m+W|a_ML@D7OJ#Hh}Wd@6K zCmhph12Y!rVOAaGadPgqJ8}SebO$b%GJ;~^9nN^e{2|VMT8ol&AEBih=UjG>}x)?pc$&3s4k8jmVeQ5QG$wh*9O!2T$YPI60XT&Tn%8cm?# zI>*e*uvpC5sNuE=0CSkcNV!ZHk>C_F;bBWM3F6U%_)HTTT@zu$T&OX!ON1jj)yxku zfmqJhu}U^ELQEpo^=;aiSvD)qB(~8>h?Ce~mVWOXS zXADZ6TSqw_&m8!Zul>=3`}+20KKIdMoZrWfg-REB^uhbr*DubF=S<&S;xzSfYBr#a zvc!iC>$$kVJTicJdAfwVS$K4kdIZiaP#ls&QB@dyC$!1ATqw0^TiW5t;}35xpS!KY zsiIfU9=-Qh>-bymzV_NXaS%vGyfs8E%C(y`)h6IlmK#N4p}y6 zUQrsY^hZ$cVg(NJf{+RSX;c#+7WN|N6{iie3<<=H$aDxYe{@2Ua$-62Al!N%x9jPo zOIIJW?>LefoF^c_OSC{HK#|smy?Fk?!`DA^T-s^$#TSDyaurFyXsgTO)mtOpm|iAp z>A<{BiSP!2%dIY0&2xSqK=gqnv6q?m7~f+U zmU-%qUOC^;+7t+>I$hLF14XX?m(Un#wZJNv*tz8Rur6 zbCOijRo&svYz70<80%MMC6Vj_Xh0J|rk%sX8&dHBiTn@;GsRNEkf{KWf$%P@luc$d zmGz0N6$>jA;kzUwOaulo8<6Z!Kg84of+3N)9l<4ol)l%`N`TSHAj7U(%oW z^yj|wJv+b0ceF)x?fv(@dwuodaCYI+q^Z(f1dtA6KdBCIfhbuS3qe*+LIyBV8U-Wf z91t?F5w}b0XdXO?mHy0QJym)+bDKkw;!~N_WmS;LcR&2`s)YfYFPN&auyr~- zCC*`3(>RpxH1A*+f1Zbbs{g!0p*v(cw7YtMFb}Cd^LmO4WnEaPhZ%uOHx6an>P}{y zu;_!N;fVCT=7OVgc;X1nx6`MuwgWX4JPVpQ4`3MPh!=V}z9IJE$hl4&mutL*Bw6<; zO10LO<>|AJ-~PaVbWwK! zBkw=b#!!$qq*``qLrf5qv(HK??B;PyH@)cZz|?Ndnh&#P!$z}V&SB2z9vB3w2z?MD zaF-_NTaJlJ8#Lz#Jqov+eKij|w?Ng;}*dq>GPgl86CD#>jootZf)vA@A;dX*D6j1j_vMl>+e4-sF@$nisj zmj`F2JHF-MlZQ^0M5?NuFe0|zy1Ax{15S;eD-sH`E8tE z=%?RKkpBJmzI}Urc|5<*&Mqb%rZb^SD$+4v*+ipX*2ji+M=S` zRNB%s>&WA(P}n(t2=yox3r#rd3NGAu99R{7~@WtFj1Rf19P+8)c#TAEMOdNx8XtEXtlCLfeQm`r=bdUm3U6#Yy z*~MwSe{*xQt~VGw9L|py_gXuG?6;Tw>SMRz*2lVz=Wc__Q9~*_^nQY^p ze1K4*6M1X*?mf`fj?3Z6a`yb$Ux1#MfdahLJ^m>p(-~wmw4AKvLylU5yg#KRC+03S>>gKrfE&8|Tf9jd7 z`@;NTKIT6?4I8G*6`~n(oXa-dsdBCMy3k9#0a?Ko*l^$G{V_8+iX*R;P2d^` z(ktZ1*bOVH*csDqN^0}NgQd*05wEH_0PYrrm@(hWHFKKcY@|^ue=Yz_(BD*Do?ks5 z{ra`n-zNSdn@!%?0f$4)Ap_D9Ax;-RUj;HJxp|3a&4I0@%}XlBiA6?$n}`dSrb{~< zj>ofmuSq*QJAZIII}_@#ep=2hPnSM!tq)sP8>5$P11Tb;l9IA&QWqyYc5cztEjibSlrBf9p*L+8LM_8lRy~N(Gi-BZhrwrifBus2H@F}yMkTWEgkM7;yzUn=QA5KtI?1}b%LlLNJrXbE24{dp1=Ty zDJq|GW`PL8aLth3z9zvi<8Yk0oB-U+;_G4@1$GD4q6MJ4l7J5roq>qUF5CmPF04xe%ig3jq=)l%_a8 zzmS+^(;A+9cztyRm3BB^&hPcHKK}SUx6X%et1i*2D4qK{UIc5jS=y9XKD&{nupYbn;%)mX=3u3@D?8u!r^zEr~Dh` z6>YJp6qHDWK){l6$%?sRT|)?w`$Sc=QuuNGV9DCV4dLc^u?t0*qkvc}ewox6ne^Gj zBcVu=G@g5Ah-npl_0i3S>asIzKFOU;xrY{Z2c<2`&5P@+7au-&_+#hi=O!%VDEoX_ z0~AId##W+Y?nI8{-V7&<*$<*7T?JE`UMjJxBur#ZYOH|>v@M6@#r=o8cp!Q>UzVea z_R-h%nv{O;jq9g>ZPu-iZtF5erfB4i#n3_tGCEs5`;e-GA=RuS<11cE6W57=ujS7d zjIZnVB>hFSHFs-Ev(d+)4Kvl@=H4ev4OJ1@t|Ejf7~wY~h8TwvDB{+OXp!n-%0TdUg zMZzSA==g3BaX?`(jH)7mnPqS#YRq%mOXSp{DuUe@X4&Xwp{;%N)9sBvE5eY6!;#c1 z=*cK1U2s!09UWVhQ5(P5==# zLIZ5Y|DzIAMyI3CnMzPm6yGkCu>#B{DoshjDg--E=m5-pWS%5kO0Nc68`otF5if;= znVAAq?xmFb5E1_PfpqZ=2B-g)I?)SEH^cVwvf) z#8W4hTp`Prgmb?NB{0xqHh?)~w-hkyJ2{nxI$FRjf!1#vIw%@N3HZIWx8#qhH6 zpXPC5!s_INsx%Pw0A}KTXn$ry6p(Do+1c5{hfXs(XzpfxT~BdC7xzDPd-;+3nh6T- z=042a$1rQ=Zf;`YQe4fLMUEigqZmjeIv^@iu!T7>u}q@9&3h-Q(p+4cX>UtgY;>`1 zqt}{yBwU2btAVhHUQX0O6Npkwa+>KVxH6_E7e9oa-01M|p+vR@m66CeO@~Wnpum`u zMxq!XHU$Han86ZH$9SU*zZD$8jQv@DJm${?W@e@Uqv{O^L=q>nx?G}rd!(xX;$|u` zOa#LmZmI&StP@kk7(O`wL+`l0elbz!gXM50)L34E6N&qd*fGb0d-q~8pcixWD$M)X)-@d)M5!I!gWngLQG}0ZzpyI?RR98bUDxK0}?~E=+ z%PdzZ^o=b;8|E>$EQ&GRAS$BArcHG@9xooO-Sl|x>~Nu~z4zOj%j=s~wavEmT7?Wd<3zIUS$ROLqZVlcmTW?ok;eOv@I)kP-EcTz+k> zEp2J-Fr4e!Z`af9>C{(7Xaf%1!}gW-is0C3+P1*3=0YaUiWWg%wd;K5@sf4l+yQMi8@`} zMh9+gUOXw{NDhYsMJ7MV3T$H+F*Wo1_wHX_z4-Ot__sH=H~-)lzxb6u{{F{Ll zQfeQ4_};0H){ckeu{3w!%T-SrOO?aS~AsB=3Z8R z4V#KQb2we1>00n-uf|N`Rm_{}VVbuhQN!cp=4X_TxutS!?qfB+NQW*}e|}o@sje5r zn6eNBoe@ilxoIF?q(cHgXAS$DwKgThH>*&4u>A_y!IRB{+d;$a7on&yJ9@Cp@1z}2 zC3IoTgxjb2-49H_7=b57)?LIDe3FyXEv_JwlzU4=`nmYB9G^XV{?m)R@#fp|{8FVk zg1B*mc^~nCW&`f-BbjuFfj(mJW^Sk?V4&t95RyVg%3Y((Xlp|Ch3;fbPb9PThDR(dfK7A2 zty9Kac#Ed-8I5C-$?&NiP$>r>B9zL;g`rwM~!T->|5zWiVR#aFLxPXG8H{?~u-?>>C*1NqdO3OSKCqS>$H?t)f zX4yDZOyXdllm($CY)vv0C#N0*dfBaW^kLINMNvw@@8FaoYpg5TL{DQCkS5)GSRxB< zAvs?_9MOSqWU3@{faEq3h;t~eIl*weA~qB=;1i!)HKEVKnNqyfOs6bDOvQ~1gLxT@ zw*byKdj_~eU)jR_aPzjDoreOh6=TwRrQA0IH#c+Vf7Hps<|b{vQn7pvg?SFShmsK* zR|m4!P)LI4cIXV*f(+OZyZgt+Xy%m`oiaUd-w|EYLzt&J(P@S@g62zU%j?HX!NRn( znPiqG<<29M&zvF%8-X0+L6EXd%9~#@FP^DB-NcW_Z9Df5X{8gZ z2Hebs!-g5ms&&2$IL7dt!AduXy2ONzBpw^8k$Ji>8l|S9`7f$yTb8EFvZzQC0vt=z zLtD(u&7n9f!O-A%{#v?ZF~MNi$U1@J=)-gjYZ3M=hI#<%9E8H*=#gnM)m3^|@EFjX z(`2UG?nQziS?j2TWi$j-RcXQ|(uLBqtlPmnS82VfWs-^m7`oC`-3B8y43x@4tsJ%~ z;bqBYO6T+>%g_{wh8?tuA7xSod)X~!6F`usth{3+g;5M`Amv0xOf#P_5)RMt>iJ2C zHrg!@C?Z3YqM_3gVO9EWNVSqs1f2!RW3~05B1d0uubxE{4abAy;fRXwaa*OmA^?DU z=l8Fu|NLM5@$Gg0m0$jEkKcUqt-toS-k^va&hDSquI;GW%*{s>IEPBIVdfSS(L2n| zMuZ40eb7wuf<$U?ay>N)PAMXS#B9M#X!gkpQ5TUzTb9FFTNaY1lP&G`>gGn*rgCbn zHCaxln~y(!v_4!PK6ukx9Q&3{lgp5^G^1BI>aLHrYiTjL$;pHT_7yNnzoWjbsY*Mo zs{OP=fOSN3llU$Lhk$4b9Ec$zI#ZX;}-m7`f0I8YX&I-LZw zV}fdQh>hA&5fSBls%i`-39fF7Cr02o2-+!JylucFE0twM2;7{%IJ8#;zkgw)|4(6SPn zSkYI3LZ)-T5q+eAXji=77L=FC)KXI*ruEv))!+EoE4h5}JUF{Ew0+lI@2aF~_aN^; zKF4g?J$c=k^l|sSo7YnkzLWK$U2rE?cOIm`b;H-2>r*=}%b~k2JWBOykex~MNk$U@ z?p@q#OZ%O#{@L}({^|etrL&`c<+R?u zc=6Q6c=+&52Nrj2O_2k5QmDL4R%#ove6*5Oa?1p-WE}Tg@ZcdLf4?;h;s64t-KG!A zFl43wsu|)s21T?{Gq8|hxgIgN0iCie<%w;g_BV+etO&M+?Zy!!a2 z2*RbSI+;n?+N?NymRN_K%|kEC0k81*;pXk^;^7?&kO$u5U?kd|C(x6a+8@WACh)pu z&m&yaWN^3J$#O4_Hf#jFrV-`QnqOG4>;1wqk*(iV6Lmd1pDyuHX&0~Rrrm)r>%1v} zP@WlCt*W51dYp-PKvr4+vy!YG6Lw6s2jJ5Z*kFLF&h4nw0`bOR(vc5S-Zj8s;i zKyUMypxm^(aHl-W%`i;jyWUmmZVDAX@p+pgRL6ckn?|y1{U&;;C+pbObyj}*#E3Hk z!tZ?7yrer|a(?UX({x==x3|}#OVa}-y?iTW8F+nX9SQfdgEVPh{nNj6$p7@^|K`y6 zXMahN!|`~!T`?R=1u@Lhy1CmJ!`5LT+SW(6uy)bo)K(K8W@C8t&2g1Rg}Z<>Gtn0F zmnh1p!qlp$j?#bwMPnk1IaG+Ygll&#P1oBV7I0Zkr{(r^`}FBY_aD6O$MeP9TT@q& zt;EOEN$?4MwqmaG=Vp5L+{$u|!7TogmWMIj&yy-CeI>{0ZX@Xkz`Te`7Z)ERLJt(_ zUF6iPHA|l_w|B=nY`a^GT}jbq^d^ehq%4@I;w<7Yho1J`7v-`3B;?ycIslc(8^$pZ zIRM~rSYCeT-}Lz5=IwaAzh@wK9z|Zy{->SIzjLrNxvVZc3vqVkqO6#CtkfqMKKDsq zZN5?c55Sa$vT8uulqn=(k~e>-Ah;KZrSE<{Z)Kj_xfNdN#YC-%gdQm|ehF94>)$-q z$OLQckRc&eiER5#DhRk%I6jPA=Dkslhx5lzE`RLD4j#G1A-%+AdOms~Bn3yAiU7lb z)m749M{jl=B4QFLH*>Ex`rYRJt0-Is!y}zXuolekZgzLSvstorfu&exo?By(-80N==Py$y7t0b@|vfNFWu~&i$R>%`n8CR-q-ci zmZNI)^pFY*)*Ir7tp>5Rc4%$+qd)t$`~UST|LDK`{JZab{VzVaxoL-Cr;`t-N`t^g z9~Q-<-Ns^WV;MGjIB_<{=<7QA7;W?}HdL&~sTdX`6=MCw+-MpXFx7^$GAk2Oni#BK< ze?wSrFZ3IESlPL$baonK|E&`bZjiw91s>%&1tK{Qe<97yWEQ1TLTVGHqCS1vnC+@j zU+8lQw?*7*6QABSvKcUdVTg>YeAhPfedY*Z`-+{BBtVF&wB@YnF&wxuC!6w%)vFsz z_%9BZadvj`;(9$lV9|vwN`izmBWO-^k|rEOfm4LDKnwsKunv{5aPHl=q+d=pkqo~s zWIEO~E+=2X%J+1*XUQ5P-ECP~4p8;xEzUEKXZQMglYYrC?@ zrn&$C6kY}l>B+f|iE47oJZf`CJvXW{CVC30=lnA@)kDx40d>q*2mBUhV+sk7RZQ_E z(i*zExVMPnO~t&&xqFp;*Fx-V&Hgc;ooP_}PugT~cep%YEO)a^0P{QFAu}ow>1$qz zrJ6`EUCUuE83On)VY)ow*HYNS{#f%;V1t+Z8i z=%A`=5GA4WM&mijhU78*l(RD5Bbi+b9`8qV%{Z+hn-fpY5ufc7i}wQ^Pz_``Kdo z(p15YDIrnd22|7*+nL!+MWuhE8uIK#{rDp@Z!Pp7gmia(=`bZ%%zVWaoHu4_BxqySepOY6m$b}-5#R?kKUT5HgW z7A=*t*1=x|eMeXKH?X^Q9>1;qbaQ(%%r4F^ z4hM5x+R_9;+ue!H2Wq`DI)+oJ=Gvx$WhyJq#uNfLnl{_$mdN?M#R`nIk50*EHot)*On19YI&Q{GSl^=wE`(yYU&)+VgvNB#(ecHvHz* zXk^81M`c-FsUgWLlyy^gXDl;cUb-m8smcp4lNcVsjf+Bu*-9q-Cl`qjReimH3yxv|i? z+05a69jDfBm$CF=B12j>1tEq*BZU?Sx3ijcg+t~cLt4r`I=F^ai`HCW#yc=VktRN) zo2t5MYt0UQj5byi9aI4ZMp>q5vxHmu?TnD6K+LEtCUhxa8_;V9vv!2d+@`dOJFD^1 zZ;`-w>bsrQ%sbyXTf2+dKXpfDw~r_HG`BMt?%_uP`#8SYR4?CP zW_>-a3=~61)xj~?&CRXHd3V5j-o<cxeP!|~kVtwCK}Vn3y<$A(o!;w>v7{UWYL_wjPIsq|T6B?Tl^lmQwY3&(ozfgrnG0lPxn%{h%wZ4eFH@!YI+ zIpcN6<{fNx+xxH4Kw$?CWk<)R4DF5<|P%DtdAs^ z>9g?(NqQ8qpP=yKF!k-W>?q(UJCVDH5w_<>Hj1)ll7|my;LcegJy5 zNWu_Tl5`b%%qcZjO%tdMj)CL(!`tiUHb&G@WS`}>_TF3Tt~yLfs>U)7pt*NaqpHju z4kg2q!7(zYoq#DqSzAD{jtt$AuFj6Y3~rpY4w(ki##qFLjX^h#K+rR(-m@1}RU*zl zMefmPeG^OBWG_=>s@U^yBJ){NicQ09!NU42Q`R==tuIljwV98#P2TpNctc za~gO~-vKmdDdm%@Gb2>8n@J2v0<*aRw%8dr$Tm;q#6Q%%sw3U()NgqkN>nsTPUcO{ z8{V}+f_rOv??S%$?f3m({^2kGcfauWfA*cPfAi6MA6%V)VP>`po3;bk&DN+bA~--w z1f6qUkcd!*P*kLMrK}>WjLf<0(TN7`KtqO%0f(pz^nipj{E%(wA}wZ!s7edXj0g!3 zouXmrny%~V>h{{qaDD*?TGJf6I^*=Lb{^P4hCKY6`;wBvGK!%=a{a?%2_ZaY>jhPw zgmQ{}lT0>=PYa2OVw2LrsdJsAS)r?4x?FIgQCH!f*fG(_%)iAQeUj}wZbJiRO>{QMiDS;}} z4`LXVt@GtnB#vo zFv1`LHwcR&Y}@j7s3W;U_Ao$wbT>yTxQKWekFnH`3WNKuFzA0sK*1j+M|VdDvdAPR{IvSq5O>D|>;Lw07Mjsv#T zq(W+#+G0cQ`DwDnEViEOP>~!)vXeENZH}T*MD*NAahPA9HOH3qL{Z|Mk^DLylE#}d znb-~DPBSb;r=?71w7bM3qYfb8Hpam7;qds}p3s1~Qlxuau~P4y-~03Ly!V^G z^VNUyr7!-SpZ&Dzqrd+Ci&N(?H|r9FGvVkcOKvtyWDFCF)>JC&Lu3pUQ60K=Rav`; zgoSfpm;fEFxyP=F@*D~gSHK-ABCrlu7l;5usH!9zNx>i?B2jiCU7NPk>2&I=UtNyl zIO1s98k(Up$#%w|=sllevdci4CWKRhcJQ5qLsWf$%ORqINd9u2nkZ@l>my>SX-V&N z4|Fe3Q&&;Mt&}O4^=V<{&G+J!KkSV*={_q%>NFKKRf0tz?dF{rP9Yz_wT>G={;13w z=Rv`)mF46_HrWrG!VJq4bu)j+3(Y;OuBaR37c+ly^J?F*Lp0k)*DCw=u`~N|zM4Br zLNHU3%l|F3!CG;EV`5;&l}?+LBtcBBEU7FKiW}ux-{xicNaKtSvP3JJZHGfr$)UAS zrDW!|Vs9A3$k83kqK}_ko*%6(Vm^doYU%{U4DcaJSTl4&)WdL?i@L($4N(;BCQfH88(rz1MZxAClRg~=Z!_g2)0oM$(J|tY*|gsS6T1)a{QTj~)ic1e#XYRs z=zZ;DZMH+ZvB0Op&+$`aHa?3~gTn~_;blguE~wc?bUke56$DgF5|@mH#wq(f03i2#Cz z>bi-1ufRr_5Ao<$Awcx&3+OO;c(EBOh`|Bb3SQ>0@jB%KdQ$f+2#KAQ%?spa(Wg<) z@zhlr+4B+;3Q$=S76^(HIX5@U+>U9Mak&E;5KmX46{da%=%U}B9&;86h z%c9@<>!+uVVX(1^K(#qY88OL$Abk)pSvZE!jHIb>u<~YmZzAi^b@b7DH)Jh%DV_!p z>_L=f2D20BWU~o3qWyg)n<$~=se`1`q>1&>N$I2Y^>lM{Wn&zUM|W3kYK3WI?>1^S zB|g9;v$=3B;~v28eojT9s&#Eq3=@`)Cm~K910&;RUM8@0;JRu%a66$`c(0yB(4Jhu6@PGL6D&}q1 zmSf_y9j?gdr(-ltooCf>NVxBQg76w#H6O~vRNJ$wo15#)v$N&$a@Dpt4TP9M2&mbZ?SYF`l2Ti7sGP11=;&}k zTDLN1wP%%AvZab(7Y_HzqqJ%P!{k!qb_E2r0YLAEjW97DjJOd}V*NrSpCx>$?CU>!pT%~Z{Y zW9sfaeznJ58$HD|ojR{);5+&EX`JD{g?(R^;EC~AF)UQ36Q_l#^DSgdn>Meewl(Y- z76Z&GYu8{xAFi4+xc9N=YJLfc@#FPOaFV`hTQ5bFVc2=rHzK9lp_Kto@Kz?TM9D^X zIIiJ1bI0Kr8W@ucD0s|i7ek$j-a9}4%kMt=&42mTFMsJ5Klh)0dTH|Szx(X^cC3zJ zs{*2m0i!65W;BvU8$uc8GFFP2hzt(t)M&OPeW*xhcyVLcfJ;ZuK1uE>>MCBMFVPvi ziB8?)A|k^r8Z;oYqPkJkMz$`Ab~$}Lold9W=0}gJxF+H;;k%sv*}!ndfJ+5T#V;6G_y2nf>tU ztG`yrTc}rVYI=&hA-j9!5Nl5sa1w7bk$mGdU&*!s&|mwtU;DwY_-DWMhs;K$skn+} zEdM2_$}kvvJTUo~P}}*y{JUP0Muq85lU2yiYIUD}0rvmj*?{;xSgcVV%(|EaDyerI zyQ{$b#^ld84>CSz-g10sH1}{qqJfjlzzj190jP-x`Bn#KaX)F9hd}{78-r+ei<+4f zxzx1-@$}9ak5Xmf)y?|Z&%E*QwKqR_eA(I|5q9MUOej?Np-lYl*vQ0&*$dd?CZpg1 zkT6gbZk>#B%_2L7spKmV6@qAn$h{;P{j1`_gI~Y7d6CuXWyCpIrvJ$Emk7iJP>G(?G?JvuoiRCX{b7~IDg#k%^|1$2TdPtgGKn8^$t=Wd|n zb}|YHL%8(~sNHjT)j;hJ>Rp)*D^bQ|_t=zKy*R(uvpKg`gIanHeeyuwK`_T%2Sfm3 z9Gvf(CxtdKtK(xp43DZK<>?vM?a#AS5sbQz$V3E)iV|8|@*sz2i)>*$XMZg=1$j@&i)(_Ci7&-JyNLK{v zlh>GOSJP?D#VsYhIYVBjj0I##x(I*umwo|1?D50R+yC}ke_V=-b=LM;CuZIGuD-W6 zwp=|`5Ix2-D7+h%ROV163u;?-?3XoxaHD1iL)+*-M@aa9F9A8e=djD1;{qP08<$6+9!ck=5en!#ziQsi>$>T29`f1_+pPv1QzG zrgtLkc1jKlk7Sup8K;0s5iGauEc?`rmaQ<{Cqq^DLe4VZ04A|1o_=Z;$<=QAT*8D> zsN5_DZs3W7}aDlJBDYg;?(Wo8+#qJ{eGbA zF-l2z@fO(>JU(*Uzicrwdy%_a?<-Nc3c+w}W@oBdpXx95Q?2t3IG0}8teq2_ursbm zqr*ualDemYvmU+LeS_$=uaoP-L|L8yc|eB0Z)I6WPG%zM>#)P+>;u^*IjXs4lc)3o znWC{nYbYb<6BZYI@bcuS`by^QRme%!KKZ7+w&%AdaoshhNj@x-i7iw|HnAv9;*W5a;nY&0kKfn0a_dfWI-~PQ{ z`tN`7r~jk37Ll)g^U>26t62=?L2CKKU%6a_4tqUiJhQ6W_zOQT?2!QsO^dss4Ke|=qVPq${~$Fl{{ z)~<=!DYUX3cT%bu#7bN2y~m3~H{~D& zWsl2uuSw$bd0`MltgUtz*a2FytB4QB2$i*GMHX}gn=mz@x1_r$!I>YQ0R=4IIB zlV}bYg9)iiq^Duu4$1Thr=(6LSey2eE&k*e?`Y2YAg$jA)-@03W?0sh(DA1i}g{FkDfgJ;DaY`zVYTy z{;fC8kNV>BbbIOv?;WC|swF3yBX3fEgxrnDps=_~6fs_nItU-;R{aE7sAal!scH*R z#j668E2BwsWUiL|plT2lF`Hvu*I}K&9B<5W#b$QTPG^-Yq(n}IR$3vPx!umEP7c>p zMdNlw>ud|))mmx7?Cs2A-qjQ}$L4aRi!&kU)Hc}3?o0AFy^2&}As8&4oW+g1&2ndF8Q0)ekyCYb=H*wkt-XB7nnY z2CGmc%}W56_%HofPUFN>WckBRGlqSg0VbbBbPlUETNw0GNxD z`IMeCCt1-O$?FIuOkvC+QwrzMv+d&YrZB&MI`SgCy1o6`pZc`n@c8M~;cy0|k049q2#@Ee_0vX#vZ;tSNoU z6M#AEVOJyUcZxTri=W|_)Y@|u!qAn+im5C2H&gC%Y!9b+F-`S`sZu0;J06?c7J9Nm zO@+%|UbYSKOzL`mO|pCwf^DHJhY0`am%o4?_IQ=9CCpZVX=^j{BIOtw%HvAZXo7~d8A zU<9qiG2C04ljsnX19{Wqfx=;phx_;6yt;ah0=#CukKTiyj7fE($HqAl(?1S4ziLzhE%P*G#yfO^Esr+YE?qOjkDu$ViPaSKd) z8W6|xu%rztjUV?r!FYwDQt;|KQY`C5xiG$I!$O=W3U`ABCHs@iOr^5F+_J@a4z}1* zJZ1HTX7J30C{zw1(cfT^mfAONPkVcq*1B_AXLUNd~ zGmgiQ&YmH0$}sKHt*^tz=pCx=keH1$B{A1Snrhyci^42mZOoQhAOfuD;S7@6nwUk= z-s$%G_H^U$BjD|@paT0dfw|-@0~RHO?zXuYW&5#}KbP=@!lAfw0okHBkD>|@s`7L@ zaKea)W7(EX1oltFwNyZ~?EdzQ$83VYhQgYi5-}=PQB$$drEKq{#@x}Y5hxEEZ=h5R zZ^w81pvMn4Z$6c7WER19Dx}QLbS~nw2Wl%MocrOMj*ibYY`qrBvDjqBVZmxNm5$qO{wkA@`ajH+XOMD)lUA%sZR5 zx$}us0~FTb-RbBJ!c8cR*~8QV$~}7Y_zQpU=N5^4deZ4J`Opk(fDuDTqX-N_c!PBp zmuTLaMQ8xL!Mj7mEeG*NO~VGfXJCwy;5$r6GLfMM1p*4RDcnpfy2rW0gyN!Zetz%a z;p}|9xq&Fg03zIeTHC3$W}>DhJA+a5>>a7xF>*W8l6zHdKQYhGX5j+T3d}Sn->8b2 zsxGQSv^R6p;ckEpfH9^)h!HVlcR)#V_sUe965{(G(w3&F1&X9f%U6|>x%ZahF|~Ra zY^jLa4*GgFEGc<_V^(UEP?Jc+lm3|d{&RC>)6&j1TKgrIvUKzH8PuGyYXXU0QIQ*; zvngY>RSBcTRP-DSl8saV2YO!v4(URGi&Eef+bOpwmye}W0YWY=F5ds(@o)X>uXg)| zzx(c|^Jg|L}G}wXYK?dr!-PP%{Z(xstH77h{_m4Wps(U z0qZ>`V$)$9!yz+|C(btqYp#U?gW>`OZA2H!$orLUy^nZZ%u*z&a_{!`W?gUH?07V9 z%YwxvIu>Q@2dMb}3?Ww-dgs8SR%!;}cF)HjDlOf=P*+g$1g_D>Yjm^Ww%hUI33p(u zsDkNWMg6jDk?53yx~`ejmZx~C&Yh;)c_%5}b?P^WGYy{K71ST_cm?n6B$7obCT=$2C0s>@+u?A$fA6)AZf+9xyY=2x*R`Jx{m|QJ z+1hz{1z)`~Aj@;w`QmfuUf#7$EM||k4Pu4c9VsT>OkLY(qnR&m-ePQ?yTr`7@Hq$( zM*amnbEqPhV!$=3EYju|o#gYRq%}*pHBr%KwJT1z$Ft!VhjeagC*-T*U#V%*e1&=2 z7%t$hkxDJH>96hYDW{l}!X8+pX-pJfNUbzzIkIH1E*@M*P3a)U;n?uzwr5Y-}(Hz?|ki>kG}um^~v3>udB7? z&_vBsDP}hw7qZ)cs18Tqzaeg1X%vw$jOoUyP`e4K!%k)fu0RVuX7(Nf02db^#$9OC z+lwg7Mhv=NxR9LyhQ++$U|A`Cu1(i=b93o8wj3P})i8=ElCKQBd!;*g_3qucjg+&} zO$j*?+?CqS;jJQ~O`5i*ZE4z0UAeB-PXm2~(^Y0EKi;d;B}mNC_9YM=8UhKmrd4yy zY`EBg&;+IZz3|o@gEir5IiTs-m2iH78~zVGUZLk?$ff)20W^I3dh8Z6?lP%E?5xS1 z%g*Hp_%I_SsFRwG(ewv*N8K`GpT?2dE2&}@4MT%qeIhP=bOE1&5*CGEcOgVOdYn@Y`gWTdMN}*qtThdl|8$rLrN@%!}H72 zv*))DA08ilbiEuFZss#@10q7$fQVrLBt#;(2KS%=!wa8Nsxug2lWo)B%WDEz^74tA2b!k!! zDDxA&zM#G~{a^C@;^O@eKmOf+^ZRCB{JZbI^KaTn4i_`t+-dk~fW7t*cS+#dp2 zEgsq-0=g~*Xi_+t7Pbyhazhyt`B9m-*_(=0rA|Ufv$R4})2G&%YqAfF&&S@QDS8cN zKFwX?LeBD_I8zfvCTxi%%mR=2XSKizn*d;j?k3=iZkZsWL4ecfL15XmYMD;IQ%3u6 z2KKD)X7I{Ks3Tj??OhJ0rxqv`90+gpdmXkj}b0f#@^hF0{6*F8eOaPtE87l zop6oN*4(?>KzzIhKLiT=c)WM-;=%J5k3m+8m-wpTJ}jo3dfBHfc3VujXFf=>9rHjG z^--vAPw8#qH1Vw}>yGjNxA(10k{!o&=Vaa6^VkO#B0&PCC{m(C>OnDRQvTqd;h*3i z>F<^zEXkrM%Cu~U9SnykgC+!Gfd%$4Gu^i`{UIM!J+s7)BOGB1?jmE+-P3(<-Ku1dFO!cdhBllEhNz{Kus?qr$O>8u=Qw6KoLHct94#{sXqt>e zunoSj+?7mpwju8r^)9vpZk#K2B$}hLBaxZFz{W09@ZOxY+jRYL-(~# zC7jbo!E}q397-QjYHPDWqpsUhb)?Q7z%sBVnOnthX$}S-?oPE1BKtD}UT@FYJ&d5S z#8yWtOJ$TXhlIJ#v;i3`1Y1dyeDs*=Sniq_nX(w;MG!+(2NOAhzu^iXk?B0O2C1aO zF!ysXjt$=b;G=)}FWxJ`m3kURdhKHO|B9$Vxxh~d@$0EsYJv*x$zx|!#W zWV-}YC8HStXhtVU~9zJ^e`HN?Sx6TuQ-Bh(}@7;RW zF0Gku*?HCZvJyI+v4^(G4CmBx!AND9Fx{Gi5d0S+Gz%lnokFek))sBcrrn*Zs+~xr z98?!RLqR&zK^3H7NB9fJ7hcpI(5c4Vgh`#cOM|De8J(IFF$JLxr%B!3y`?4+a&Hi}Uk;{OIF9{qrAp{ox;f`>TKS?XOUte(=$Y{lV09+cvPJt5a7LHCo#8@bdB1)rLgq+3KVS}Ip z2o`io<1XxZq|d`rE(@uG6|1gFKk_6ZhjtL5G}-psb}&^n&v?lA3x-YRk8QKWo_uCu z4UiMLgq4TfMD3qH?$a@#$Td2VhM$2^awWTXBeH}o3c40Z zu4IlTYqc$X>Z z3Pd8NS*RuM4=gjeHp6pPfEDBQfFP62R_fbKVR5F}FA?G-Fn7=-t%@{RN;N`cU6)@y z{p{i8?rf#@-qwX(BAqsaYD9M$QBhH96YEaU4Fnq40clXL9@_$hFTiFRRV(~|5qR@6 zPHJI6Wp1TA8I}^)W}9z|B@z<~)5d@J;K}*f#m&u?m+~j*eMUF!YgcPl1B`~?Nbtx! z;NbW4?aU}>xZ`}4%IbAwSRskp8WJK+VT6dLhLdG$%hETaSX9DDBs<{b(H;YkfDvFc zbBBU{{22lTMLlE6Kr{$4a&Mtv5`g7DMN3tBKaoztu`=k#BinGsBO@~?C1=Tp@kpUC zBul1yF45$l4Cz&L7t*T=>&CqjLnMSRg=dKiQvU%ntK@STI!ycC_941`Q9JA`-i{xrKQO)K74Vr?_Ia;pa$;Nh2o7N8=xiz z6EU?WBA|J_e>F9)&E3@xf3s_2-&8t9$llmCJ!s$56dHXF!3KzdOZs0Y(m(^d0O|!H zJrs919I$!1uw^Q_@bdCeTbApqm)F-Xcjp&?tRRF{+yzO*xhw(JCJ&f|Z_Gt!h?4wK z=sdzyC}z%{AMRJl+5C;N+=N}59*+ddaa;c&x(*%Lp zg-I|eKf_T_Q9zC7NMe4&xKC3!ORgZI4@?M7*KN_MIg%Pn=Q(y`FKa7MH>SxuO#}t7 zR)q1;6%88>PxEAlIQ@Y7R1;7Sb(Mon`s!aNiXQPLHIYZLM?G>E4O$ zmtF1v0Y@gh<$6q%<)odh-PX8oCD(x|NGE%mhCRpoEzB4U0M!&edM;KV8Od zFEAjW+x`9+>$-dR@a^lHE1|%;!TPps?Pl9{J(IYyZCW{Ja#=&XC#>}44q)qbCeuX| z#3$+Xuo9NVN^WR35N$EFzUa~y)y3MX+6~rW-b{Qlp5V4a+$%A3ignL@gJfrruF*Xz z9!P=6By`R-00MzQQMObWNnRHqbgKDLm4TIN9e`AT@d|;~M|u{@Y)p=^%nS?PNrKN> zC@|#<((6f2x3{qiDeZlNDq5gv zKOmr8$qnozd-uv8n>LXyU78bW@7*klFVhUoOOS}!*1X4#!HmtI4YbyTjYM0CjRzbs z`{F6!#o1+(<>kxIu3o)7J6G7cEDQW-o)er7cf8}25Kv`iAsmr|BIBzP=y^~KK}c&W z8O1qUo|F^vz>UJ~(6y)d%71NsF+_T#sfTO5;&xIPD-|9GMGl$`?TrFMgG2(E83xSx z{Bb|)Z3d_e`BrIOVIqyFm*rddncgS}G^^z?xdfS-`;*4l(ZA{Y%k{8Y07C_}!g`J4 zjIla(_8=NIW$a7ob+O`eK zQ7#q|3ruE4+G_Rl;f}!C&%Cm(bTGKj#`H{G&mA8gQ`jEv}Pc^gmH;TGte|kyAt;3(UWJ-KJ3~h zyCbQp^+q$e? zCv0=$I%RT@^5g@ZeGS9d30W_(VNw;UyjGp~(?%+0o&QuVcL-ZBj?pNF&dT{ua!7HJ zl$14;V-ZGFASpI=Ov;kzc#>?D45}H_EQ(8LHaR=XQ-t}SkZ5tGTIpP-0bwVaF38|- zRP}JU@kCRSg4RUD%I%7@3sS?CHO{tNo?m|Y{Ka4V_-}w8{Ly#b`Sv&85%M2?@$A)& zs`d`-fpuLyz8+1kKvhDGrY0f^6NQR3LOUUpg}o^^Ved+ks$O|SMB26;dUr1)1n$`P z%@54#a>h@6nwc~|o7$Q~&9z~}wy76~j+76>Zr#bFw_m>c?CR>JonNTgvY`2GLptQL zxxXp)*)5`2ma>!(gi(H{+DiY-Wv?s(SyvGeKN=^pmxYI$4xpp^DZ(I<8KSVLr#K`C zs^|uxadSzAXL6z?RwyBUmelQpBnUgNOoPuK_o_K*#3;yEMRtmJavC`$NLtV-V$E~> zv%pxCznj$_!@C-2F)$)hj?6yHdf}=iY%LasotY(k{jm#WKmwz0w`*sYwqh2u_L_V? z{k+5kG7F`9u~26?rtvU^b<@s@!)T#`$I`|eq8d;vEYiy`pQl2RQCyYofTV~Vy1xI5 zkH7I-U;EiVeCp{~grXpKm|i`cpmA~}l$NIV4{&R)YZv+%HLAeVEX}LnriM)KeKV>P ztf7fp8N)cDTSevp0n<&ra-2q8vku*zJ-B@E__NPGme!c1cY4>Zy{mTZ%^J0n3_Ch| z@QoJ}`DJ7RBjU|udEY!4zC3SLO#>L%N~D>YkgcujYG&G-wxyeyO7CWIqSGweAWU}j zBydW-gd*0#*8tqM3{sA+q1idv5PD9B?aOd!=5rLEg+Q+dwelhaMGtbBqRcgu`qCxm?X;H|5x7uVNmZPGjd03ZNKL_t*7x>Fcz!2-!v9YKWYHYygd z+VVtMB{L9}&|pa=E^Ni1-Xabj9w%D*DoGrI^$xvn1|6QK+zh;CF!XKds`7YS5M&uJ zVVG6YX9)b^>rP~qOu*OO@Xol`v2GyTy15`R+Z4n=IHw4XvckT);lLy$580+m6H1d1 zE#65fM3z%+`Qr@ZE-@h%mk(l}4BX=-W@h2ARxzQ(q^)wz6By=s%6uRXGq|)F*T&>H zjSH1vL*N21BS2&nn91*jUl8c3O?%We&ieXk6fz@TDS#50rPWFRzx?po_rLo)OGEG0 z8eq0**R88{Q|(a>zlWd1Z6r0b?naWSsj2m@YF)j$f&!2hy`y~BS`(4Q%liu#X|hNQ zCXnd;Az9TZ1wM9Nx2+#`rhOZl03h+`;giPxUtWCbfYb~MQ}gCqUHhhO5qb}};Njdg zjXly1HjMT6iYFRtH^2Y@4x`H<7mAH&<~b%&Ck(zM0Sj#L7O@>L@0>Of;EbVzBf^K5 zy1*s?Hc;W@!DGRe)M{?pg?Xpr9JKd{E^TDlD85|i!#O_jhEs`yQ>I><4yL$PsySlx z(46cfSTyw`=D_}BJ7wmGrAG7hO=)2D)ieM@IG3)C?J*Fh+qMV2Z3KnQ+ZnitFJYyJ zv$}5LV`co z7|e?(2WF$Y^I;Z6fEJ*Ws;b^dH~jZ%Q50CsTEwO;8waz)os?`|K!t+Cp_^~8iPAux zUpzcJyL|QP`Ss1Kot+uZys}9kn~Z=KA$m2FnJx=r`}@HVNtnnqC3poq0kQN&c3Fc@ zvUKMG-1IOJfXypEjUuI?`6_zntBs5xgyoj@-f-I0FHix#qDG?E%G#$W$`NEOH@*or7c2P+GxQO#VrXEy{js^_N}{)jQu8Yetx+${*U*6{_@p} zGXPi@TTD#QrZ7pUh;+;+lSM_WBX`@Nm{cUGj|ggmXcRLi;O!rY{69NAqw9ubPudh_lCIMy|62$@!EN&UgOn3X8dQt!j}% zZ4o>NEt7uYmwrC7Yc3s+)-g2ga1*(&tfrQ-BKW!3IQZYIJ#4LQz-EA;^B)|um0-Cf35n%Z~yj}-}}l#P~QLLvzM>-UA1oq z080~Tt)bD@)>dyFkvdz=JSEB$m0y*g=#~wfv|D7)Crb1!5J!P+Y3}oIZ7RV*EnBHJ zk44i2z^2;GQ&ntWd1ALa`~B~H_wRrHvk#yC>cTFtqM;!wMHl2v@7gd0EQQ4su^vw4 zf?i`6eG3FMX$bC)qSQ^=UWA7xq(>anayG|%=>f>(h*?k{=~kQnl>Zs;r(fP3)3Us2 z+`~DU-W8|OJ5#Vk7-buch4l{%jA+9ANCYB@&JgvL$B|euQ*ZIga1Eq3aD``z+N0di z;gc;Ld#nsodmVWq^E=GE>fsH}Cz~#BM-Egc7D_z0^{HEtM(eYPh>EIK`NpV#?=V+G z(^h(Q1o7bMy;PgXHj&0mu10GjSJyZH_^VI8{PyEteDG30S(c!Uqy%A$O11#3!&_Jy z44rIde%uFuxb+jAU0j8WW_@v&Yhjp?^h_1P=vDY8kT|rds;X_OW+>TVP!HBD%li27 z6NB}>2jGIPZ%g0yecSbA>$)}tnwc4;!PLC~B%ofxJ_I)?2A%va0@HNh!Rqu%z76`0 zv;UP@Pm!gmSzA=q7VWwg`IjgqKwx=~CvC^n0wW@9#r}aE>j)n+c2Y?) z7W2w$#o~IMZiK2cfF8z^Scp-%Uy%(MBUov1%quGp6ZnW&dY)(VkWP}SW7-MYHRRMptw$qc6FXS;9z?suMk{NdI0 zD*!uNu>jVD$TYY-0uvJN?u%m4lF_-)Aq|XHJ+4gPwKEqdxo9l}9{kTZXy3x?S=NkJ#K8f$Bq)0vK6@XqIN9`~`{;Gy)a7Vc^x0tXz{CE?DCoV3HzAo5f& z=?_W-m`viII2N0bc~$17nj(_^R2kK{{8vV{bboMSjI?fxF_XgvoH$a@Nva@+{{*>l zOrPa6?<3Go%3yY{1YH^qN`fX?aNYAZqrZ2C@GYR93lL+Z4LB!MB&n2gY_wM*A;1ql zeD;HPzbpdKgbUcghD09#mJmJ_26cJjugmDkv-_qV7+~rH@ja!NX>(=f_#|a&tls2v zAV6~yLqyC}EW#&&WQaxd;lqd2?a;%pk|tYk+je%?wnh7D-LROmk>|EypiWW>ZonVi zTaNisQ50aHjW`Y%X2N9E!CW(_)3b4+@v@J_pyY$w&sc!Dk)d7QF&oii&Q}&W|mR)l!SqO84F`I%kd30+YWnVO|RX$6KS-uV2GHU zMSlVkB@oE-^NSZRU;gAj{-pQsedk+WefzC5@-5h>pT4;6s@viE(Au(|gFV_x3y3v5 z790VHsrYRu)`?R_&p#5?YDY5tQ}X#TlMU_W0j4px6n6Ekdn&p6Sa0RDLz)po-q$JFLA{fw7sF4( zj5IU9hn#vLpky5cJ4gn?y&!eU0IHFm)W>M*p_$JmnV)H?OiP?iY{(2UuzW;gCh<#m zn)un(V%g&R3O2@O76YRgj$(ns;Wfom3o0x%oabvny}E&_LsA1G&mkd1fO*TKnhD7j zky}ENA3lAy2+z(IkX|Ao8=1yDfymJh;!QlChZO^KM(Iwpz@RRmEc21eD~nO`KBbDJ zwa{6HEP4ZN5efMkx+uc}xHy;JckJar7x3tWkx2FcFVNHfk=a$pXR)(e}7i7e8#)|R#`O_#0*(M35$kTYc| zMFmSJCrcC@nb7JaiNYfG4>edn&%fsOJDF)zSVp<%)m4`~2N@KtoSE1YCCg!2G z?sly$kw_;c0SPmqDAY4X;BIEx#o5KnS1(qy_e%BM4dFo%Ad+Uq{WEUSs)(3sT*4EO zg$;lf+E+D!>Df-6Jh@zCd;a3tx-Mpha~R-9;>3@{nS=+7WuK)a9wG`j(kiL*$nr!_ zQrv>#)hZdp)qc zHST4-VdAGmarx;$Y@lPoaAu|}BG`gQnmIkR6Ob*1S9c8%q2q8)WNt|20wIGiNWY8n zXxb^+Cs!WE;-rm%*cV^*BP(r6WOgGaLdWS4Eth7xqOx{nVqmv{a#G>IWGbDQxDz5wyc6|Er%iV4PWIZ!m zcStm1ej1Eso;czc0XapsCPSgqBoyxvy$Ma-sF66R;%lm@iQSmXZwtG!HBsG3>x;B5 zt#LI`F>xqDx@_f`Xv&m=CAh<)CC3Mc79A2bWB=y}@=d&h44$P4fI>h)f7AWS!BDiG z37Q5#6-}zNShA9XuH<@8elD~f4?8>qA&`oLOU;$K96M$8l+#2@>aw6u@Mp%PRSnzz z#ubaRhDh`DEO$bLN`?Vci@KU#EZ2k==a<*lS3mvFKUMwSZ-3*Rw;rxvfA=vAAAk0u zHHv#vxTa^o!WkcnEEJXS!>2V3AS$KSWSMal6*Pp;5XBJ;mLwq*b)+FwE@0Y!Zi1$z zs1e)%RB?IH-g#Rt&-m)qiw76ytnGoNhATyJ?8PdnXQ|uB$+O0J=ZZ!Kr81y4nh+}m zo=!$-l;yyijn{{5@1eK~>C>HHlXtzK2-5CA!Z*5WCe=&OREXfrttfUb+I!QukM-tO zmrb;qdcwj!v2?T75*^uRNW5MerMPWeIAUyZ=*+|9$&wmC0B*RXUadKf8;)9Zw;v;8 z;+8_h*U08?!~;Z}V>+no*YwJ-buDC75C3^7WQ)tysjQC3ee?vtJnQ-(N6kVc{{(nLA@QdEO> zQ>9ns@=S+3il?Rm0~)jbnu6hqCWvkc{ow{-uCuS7=FXcM`gXHBdwg-WT)p~C>;czh z#W|%p-i7tvx84>J73+vIVj9OMIH)eSAQYQxK?7k?kjx@`7G`3Ne*3c!7+$G6}OF4)zsW1LkbUHD|G4T#gDRO3JuHJEe)`m}-ljGxZG)yE0 z@JP3fJ1HOvk*FVragZ>ph;;~|b;59DU||Y9p_sW?VAkrhwhPaO)zkobDrIQ#S=`zr zVSQ=4bsYBLPatFA7KmAWXQTyX>e*N9Y588Y0J~Z@w zZvZSxYgJQk0PqB00+~(Knn0q{HGpur=!UM|3|Er~3-0>LdRwE;5a8;I?AIaCs3cmP z!W~{vB#A2_#IoS=qlf$J7uVO9pz}!Rlyw0zPo*en5*?TvYN-NI?gn4*!lPqPV_OJ< z&8W?Y6>FRs$ewi|(TIY|Mp=vvbmn^&vkFQPKGqC{yuKxB@nv6)5Hd_?8W zz!4=!;nc3fwM2^h z794aL0M9@vY=sUYJj8_!bBT%B*X!YbOH8B_kt+;c+r!7$E$7m9%h~yQetCZW==|)# zvYttkv;=)t;lhbbF2JHPHfFq&p1zj+++imGDeryd;RjFA^*}b$ z9%7a7?8{9dgiyPQSeGtc=srwjLsL_zshVhHQf81ms4AO#>!33N6zNDq&6Md-NLiv2 zd{O|`ZGYHbe1hHX^02?Uxq0P&AXV+wP0vhwTh;|jF@p^Q;FLT4Rwe?Dt$ZsR z%R^<15TJ`aJMAmT$CXyYxHP>fQ)$tK~{-_m=*zp zmYeQ#$32R2SsE?AGQ*&C2Nt#B?5NbN+?m^R;M5MgRL;@d!v{-+MOZQ}QQ~zBUd*&gwZMjDDdZ;%#92k_jBx2}U)j za@)eu-y~a%4@?`uyTQjH2mIho1Lf({Pv3p_V5VKmVBDs#N+$p|SO=R~C%q1*ACB@D z-K^zJJ+TgICbE$G49K~22t=>c7+<1TcI!-o-hene5k_0j@J*Iwp|st$yL@#1;L+v7 zx7V|av$M-}Jzv`5(6Bawf$myn)42O6@UUyAoVn{esTpDRJ7YRv83p_&8p^C_FqHQl2n#w}_-CY{~>2B#xuC86qXM&v2rt*5YIz z2vOvjZ-Z^yfxOWyKUFcw%ys`us`g#!_DEa-}=FN_C!TJ>xg2_OmpXTu1o^$qWzf< z)?LFr#+%jK^?r{5f8aKb0N$-5m0o zUSELWzOH?XTPBZUic6$pJCG59p-J6Y1!*~{K_2P%bKVEJXwNn`sEO|T0va-G{R()bBvnGd|o9m0q-)PHuTh7R( ztJ2$BCZ@^z(E!gTGb;nmCNfezlHj3Rb5qK$a#N)oM>Ea&qK+Mu22qMEO*WC{ow+v9 zLiyKkLjc(D#QXM)?aq!(CEbp{P+#N`dxw<}>YD0OxFO5D4SE{oo-u`9Qe)vxp64ip znp8BtIboL9aOi8s@OS_Sj2#-TA_}qiu{^HVhJVJ@q=#wEf1@f$)j4pX^$suDwyAEm zo-ezdunDsuHF;~w3GO-oN_+6&@&0i0-~aw+`~BCx@wKmQ2S2>#kAV&d1PU`1YWPUg z)=bKcg{|{LW}SqY*b@z zU*4??+bXg!JEfSJ=hz9*njf%}TcYF6n2o5<{V;N*<9wGvfdz}HnX2`^JMaCl9S(=X z;jr(0I~)#bn;(cbM32L4ZZoeFd3{f-5lwB-SRl$9S`P`@wg=JH1OZcFY$w z!%5j!eOab?n;bSETzq2+Ar%PA-{fsGB9;g=F$ha+W`UQKG*fgnp-bitBt#u}aRM^| z)h3V|RL$hC2+@@2uGne*g5z`KYE>BdX9@l&x|3Y%B`aPM17^y^deWXK6kk3nGT zssv4OakiLw;+Q|O|4J1CXtbF27Y02d<>5c@wTxhB-~c3q>R$SkWPzF5r+lI0$RY_1 zn+1juC;D8;*!A_*yYGJU2awhlM9l{PUi)ilB1>!1*0rr{Y$BA!zjP#Z=b6`33w@cV zJI)U)BRO`uKwQiTtar7pXJ@^4?U!3WY+K*@q4&+y5As!<=`J4tQ7q=xER#M%V!92K zq2WyaoS|(H((LH7fjEzyh4Z6W;k!A$XXexx(X(=BVyMcXIU5C1>7MfmzsxSxeAvpw zEaY`Wr5HVgYy0y7G7q*GDgNq>ZD*lVPFo>cTXySC+S*!cd5U&gxp6JBR?-MwTwHE_ zd;0OSi_0gM7ndbQeC4}E^KiZO0Kh~uk_aj5cY%PX$XjJeAPh?8>3{ zam->Cz|7impI$e&gMY6X|K`s=o>n;(IB?5p;-8Gd2tZ|Gjm|maliWXx^Ow^sGJU*q zmM2rXi1ql(<3(5@1dhB1;RLe?xy@M;V-Lr#m=Np;$b=t&ufYv6e{LH6n@yD>7G)$d zBTbG!pRRGMMc{|1LG3 z{MdI2cN#Z1RIz@0KiceBSI)aQ&nt~~%S5=8>k;YnK1b#2Kcc`eQcGCQ{>)6M z8>V^DMADd;>oWCx6Dyc!&s*Y z#2g`r$tLy{%=L{EuhY|}p&-I0Vx~7YH@$RxJ&(&T0MZ5z$I;uYtW-5hQAIWesn^EZ zNI@7v5`Z66&7&y!O(5ERdeqsvrL$RWf>k_T)tQdQ7mBHi){-fr&037s_^!U{oU9wMcHIMN8wK)|#LHAjZkK+KZs5PK#Z z7xeA+zGhBc$A29&r%y6p8&stJ8b~c3MpFExkd02}jBA>~^N7sACW+m|piF~0UNqqZ zc?}vJ*QSN#v7zQ?OJ&kIGU!B16|Fp3niT2NRFpYC6|^uY1caER4)*^@6?y`q6l|@S zmMT6f{{aB4*zK0@IqGv-Gs4=Ccd*ExrYC2cf~%jV@CQybTFSrWvp1?h)VRXb6p?8e zgw_n8tic`;%xT3_hFiY-qqh-#45Dh|DJ&Eb7TEFcUoQ}eSjOptS%1{&e$av$?KRg( z++xIn!3V>GnKC;eT|B1PP}@HI3kL4$>SL$smKa2vbDO>WxFxlwr;_Px&Uia5`}Ezh zq(xUH>Te~GjdBq=Tjx8)Ah4vAS-adFtOrbutFUNC;WY62pw1jtFtmJpmqg8lOX=`p z+VbCwrA-U+cv8$_?GTV^jtkvg_`(#d*0d5&MDW0+P zxf$6a!zV4FbTSl*^bEQZj!}u2MEP$#wGfeE4sg)C-*@iERy?Db8(`6UL`J+NA%KGm z7vYn0J9?gtJLQ5pL7H_>^hj{$^N8H^qJnCC0T+3-JMem6nd&CF5>ncEW z1i*AKXp<+o$Ft1<)co`0Vax17hh=DLfLcd~0KKOU;na*MeqN@y!3>>B^E&SSP)M(f zFOm8l#eq{G41!82y;gew01tdgL_t(}ETlh;6pzNt6b~kjWM|8gT=_drZ9axjVxx66 zPrYTZ2Xxwh<05mk5Q?2_I6RyE2GcV)z!35uYfnD*t^^n~}rf*G82LO4r-FHdN zTL&7@JpY~+CNhE!+*+-l)P3t2OJ`8gSw5%Qbv)R@>vU@|W&c`2q{djYL&W+hT{~L`c z;Su17f6P-6dacBK_&5kT^m+EMM^=$Ai6D(7){Ab-;(O_FnyMVg_$10~8w124XX1$i z{`B5~#wG?s8gpbW=x}Znqx%wPy^@sp{(xZeYWzlyV2-Q9ScLLO`t9f!iA75a zk&*Hnk>gQNSf|n{QTe2Pb>hEQm2E}$$$m0L&lwS4jHp15%^)or&iMMQS_y1is$82lSEq~e+WrG#Coy0^@5Flzb?hsIcM zmbOw$RY~`~0iwftL}is>Gg|lUbXI2Ta#mgFU`%r!OahZ-*Z-iO*V8+?42=E<6wxqu z4FOtHn$fmzd7)SMsa`kHiB6xOh%r&98(+RRm> zG`mMa{rRwx(Ir401guh#$a+jJW%f`fvgjkfJKR^_w1i+p{lkeDz9nBz%P%ASj!Y3q zhrj9gRE_$IT@Y}>sm)4xSDgEU!^mx?X3$3`Ib8jT4WCvse8j}3OQpW0b33nKGqss1 zhh#0>e5gp5Aai_7P#3I8j||Sn60dR-D#QheeJiSwm;p2(a~l;`aDMS|9^{v+@l8^PMK7hx z;U>UU*{0sKE3>*+7Wh@mlxyrl2x0Vkd&JVAy;jkLAFNxPZt7Z|3-)1ni%B0Ku9jAng;xHJC_2S3Q^Xk=m96BxKDdh z>Sb6fp4W!r`0nYV1?N}gVy8r?A#uf<$zCGJ`eM{6SNpH`e?|mlON?ir^d(dWH zQz%X!CbM03n*j|m-qM1Vdoz67cId2oH(Fzd!K9U8DlcVKHtg0X=3mauz3y;5{d5dM zH1zFjuegcix?hTVF#WhnbViQ#K#8U@3OwxpunuaA zXfn@O>|Wi6`fDMRgXH9IAiN~qlo`#h)sS1}_^Pwj(?5@&O+h51JxrZKecz+)zsucV za4Q5-TW}S0xmnA%KJRa_`tX4Jm2`hDmDNtR$X7vvUuHOu8rm#|!0StqJ9t_6wD-FDpU_b-=hMiu0~+q=)Z9-?CIAEn%#H{JT9xZyTTXt_M;Qj(L;CzG7l|PH`{u)&M*2K2U@3MjIq}1 zrPn>lJ1VvwJV+v>K$ta;v35<`vDyo&ug>z&QFhgqQd&L+8p88y78c%2y4(H9> z5QgzwGCEhr1vbl?D04h~(o9FV*4dS9tM{zjyJzikpvu|-cQ-%FT&TRkopr>Y+rQ=W zKvet%{nIXw2x*rL6)xT=iALQykr!l7_!ANU+Wm3KJHllUZ+7l1G#`+KBO#A*D7oPY z8b>M*US)oeP=to*EG$#ZXXOEPno18Nhqh;ggD3&)oQ(nzytfR-AZ!A4FszKyrU=I|BCEpa0%Y*R#50&59pI#v#+D?^@>wsQ{Smxo z!wF9)e5+V0lIn?+pT+0?P*^mKxIKAfooA%UnWDxWA;>hqaxZltiUQs-hT|eubN>#@ zFZfhb?}X$Kr>Qd+KSu;JZmT-qq(qHZY~eibYq zG%VP*p6J^ZLi@5me<})BsWCptx7@~ViS&&Irm)d}7Bj`e90bq#NK_U{82A9L(M;!& zWo3Ptto;WXNF4}B8%=b0I&MF@MZA|lUc)2;bKs%H#O^7HS6l3zcJ=I~B5AlN)kjrKBkxQp9<49MY#Z2-ebrKG}HI84;c9Hy(l78Kgl@ zZpI!8w$z~0-_&}##?c&`a|0SV7q%(cF14idS&Nbjdq3>2rau`qtu1dN*g-8fh&UHW zx$)k_jI>bma!93-zb2`hwvpx7vZ;?*eQw^ns!$kOAU15$bZFkR466+hHCU(+0^?=B zfQNVGU6UwSK~P!(v^Vf8Q!En}X7vC!7f{8&WJL0nSR$s$cGTR>UorT~AIe7vxg211 zJG`U*-n9E-Ax%fdT2(xIf1E(g8NMjVLg9XqK-RiZ>*P8v=if9S5G5{lH&KLRB^C*? z>a;rHOB zN~&A~&vvEI=Z|6Z3hA1$BM;8Z`diWzp#alTB7}v zfMo5iV0hR`+`7)0W_L~2cS^E2$FT(JDQdfu93uqXdy>G^D9_f&uRz$3L9dx49qh01 z+vLWLLbzMXzEUjLkb=uu`x1qD9=+DayIg>{H*S!EpU#Bp?T>LL(pvfcQ67#t4!YEJ za$;HV-}9X@uGb%z7)-zZIJ6o-=fNUO%z}@cp*I^h_ z?cCw2ZWoOP(%`a!J9j1*vn}M)-Z8u6{YlfI+SQOpipZQy9sd&-=K3Srm7~w7_fCzg z{RTf#RLQGa-vT0W#ke8jrR2erqv(8J%Y=v;_lnhg%s?fB=r3E=(c-&h`Bu0c5G6cF z`Em0Nra#g5r}jaQR^PikAhZ^GV|<2O98sk`LFo<@JyFTYHbcAwAg&hkR~UfOk;CZp zNx^r49c9mw14SoV)!^uLRUT;atUxO&wC%BOywCk*p1kYWwAV4hP$<}W1Rjq;N-ulq z;>APs4I6q{%7d?qo9)!JWdau(ez#LJhP^-698dBBV)2v{bmSEwdq;HWwexlDQ0TH@ zMllCjv&ST&e1<%0weqBCc@>81 zsIntMOMxDI1%~sg-$yNvBJB(%CRUKRl_yu=AUS))MVtDr6*qQ8?9__1)Eympy!%Mi z_@Y}G#>luY)IC^*jw+cc@xutp?ngiNd0&}#f}MsO2~>J``iXG%5||&l97XRWY$l0* zU)S_FCfsTkTED@p8~)EO{iNMORlI!XCNl%5p|OCGtM=K6__J8(+V}ZIzD`ZAI;Tiw ztL1bROy>+)xREYILz@zAF%bbzQkroSLP-0=qoT`$7_-Key7uDa&lu9#DLBq}V~VV+ zH@rV7x9-byV-<|wc*&{Yn}=El_ZpVsmKOh!^&Vj9$5!E$Pti!X?933%pk%g=Q;|h_ z7L+^I0}WFAv~xnY|M_74!InYW(N(*}X3W>`)<$XQI~vBNIxWB|v6@Q1z`jrffCY|h)${y|;{T2f2^9|~(v^C(+A>Tyjy4%xEGWi@ z8b-yHRW_^)*fD%lS-`cGlyv>v=~-G)y=wQL42sUb8FTW+qa^SLzK?5e$*XYaUsT%y zrlS2F(MRrPKmHv3$QdI>4J`z~=%g8wk=Bx_%FOEG&7t^&f z@@fAPlf7R4*<@Yjf83Ba+1~rt%5=s4Uk)*3oiZ)s>t&TzfWOk$Hqom8Td)5gDMXhV literal 0 HcmV?d00001 From c268efa542658da6ad0c014a3778daa1b2a3434d Mon Sep 17 00:00:00 2001 From: "filipe@flexcompute.com" Date: Mon, 27 Oct 2025 11:35:24 -0300 Subject: [PATCH 2/5] adding missing link --- TFLNTidy3d.ipynb | 1392 ++++++++-------------------------------------- 1 file changed, 247 insertions(+), 1145 deletions(-) diff --git a/TFLNTidy3d.ipynb b/TFLNTidy3d.ipynb index 372b4050..5bcd3030 100644 --- a/TFLNTidy3d.ipynb +++ b/TFLNTidy3d.ipynb @@ -5,7 +5,7 @@ "id": "986c97ec", "metadata": {}, "source": [ - "# Thin film Lithium Niobate electro-optic modulator using Tidy3D\n", + "# Thin film Lithium Niobate Electro-Optic Modulator using Tidy3D\n", "\n", "In this example, we will simulate a thin-film lithium niobate electro-optic modulator based on Pockels effect. The device is based on the work of `*Ying Li et al.*, “High-Performance Mach–Zehnder Modulator Based on Thin-Film Lithium Niobate with Low Voltage-Length Product,” *ACS Omega* 2023, 8 (10), 9644–9651.` DOI: [10.1021/acsomega.3c00310](https://pubs.acs.org/doi/10.1021/acsomega.3c00310).\n", "\n", @@ -13,9 +13,10 @@ "\n", "Finally, we calculate the electro-optic overlap and predict the Vπ·L figure of merit.\n", "\n", - "You can check [here](https://docs.flexcompute.com/projects/photonforge/en/latest/examples/EO-MZM.html) the same model, along with the full chip layout integrated with a foundry PDK, using [Photonforge](https://www.flexcompute.com/photonforge/), our photonic design automation tool.\n", + "You can check here the same model, along with the full chip layout integrated with a foundry PDK, using [Photonforge](https://www.flexcompute.com/photonforge/), our photonic design automation tool.\n", "\n", - "\"Schematic" + "\"Schematic\n", + "\n" ] }, { @@ -29,26 +30,28 @@ "\n", "[2.](#2) Build the CPW transmission line in the same cross-section and compute the RF mode.\n", "\n", - "[3.](#3) Normalize the RF field to 1 V across the electrodes, evaluate the electro-optic overlap, and estimate Vπ·L." + "[3.](#3) Normalize the RF field to 1 V across the electrodes, evaluate the electro-optic overlap, and estimate Vπ·L.\n" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "7cc91408", "metadata": {}, "outputs": [], "source": [ - "import numpy as np\n", + "# Core simulation and plotting libraries\n", "import tidy3d as td\n", + "import numpy as np\n", + "from matplotlib import pyplot as plt\n", + "from tidy3d.plugins.mode import ModeSolver\n", + "from tidy3d import web\n", "\n", "# RF utilities for impedance and port definitions\n", "import tidy3d.plugins.microwave as mw\n", "import tidy3d.plugins.smatrix as sm\n", - "from matplotlib import pyplot as plt\n", - "from tidy3d import web\n", - "from tidy3d.plugins.mode import ModeSolver\n", "\n", + "# Suppress verbose logs to keep the notebook output clear\n", "td.config.logging_level = \"ERROR\"" ] }, @@ -57,62 +60,53 @@ "id": "49b37a57", "metadata": {}, "source": [ - "## Optical Waveguide " + "## Optical Waveguide Geometry" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "a43b5172", "metadata": {}, "outputs": [], "source": [ - "eff_inf = 1e3\n", + "eff_inf = 1e3 # Large extent to emulate semi-infinite regions\n", "\n", "opt_wavelength = 1.55\n", "freq_opt = td.C_0 / opt_wavelength\n", "\n", "\n", - "# Optical materials pulled from the Tidy3D library\n", + "# Optical materials: SiO2 cladding and TFLN core\n", "SiO2 = td.material_library[\"SiO2\"][\"Palik_Lossless\"]\n", "LiNbO3 = td.material_library[\"LiNbO3\"][\"Zelmon1997\"](1)\n", "\n", - "# Ridge geometry parameters\n", + "# Ridge geometry parameters from the reference design\n", "sidewall_angle = 15\n", "core_thickness = 0.2\n", "core_width = 3.0\n", "slab_thickness = 0.2\n", "plane_size = 8\n", - "plane_limits = (-1.5, 1.9)\n", + "plane_limits = (-1.5,1.9)\n", "plane_height = 3.4\n", "\n", "\n", "ridge = td.Structure(\n", " name=\"ridge\",\n", - " geometry=td.Box(\n", - " center=(0.0, 0.0, -slab_thickness / 2), size=(eff_inf, eff_inf, slab_thickness)\n", - " ),\n", + " geometry=td.Box(center=(0.0, 0.0, -slab_thickness/2), \n", + " size=(eff_inf, eff_inf, slab_thickness)),\n", " medium=LiNbO3,\n", ")\n", "\n", "core = td.Structure(\n", - " geometry=td.PolySlab(\n", - " sidewall_angle=sidewall_angle * np.pi / 180,\n", - " reference_plane=\"top\",\n", - " slab_bounds=[0, core_thickness],\n", - " vertices=[\n", - " [-eff_inf, -core_width / 2],\n", - " [eff_inf, -core_width / 2],\n", - " [eff_inf, core_width / 2],\n", - " [-eff_inf, core_width / 2],\n", - " ],\n", - " ),\n", - " name=\"core\",\n", - " medium=LiNbO3,\n", + " geometry = td.PolySlab(sidewall_angle = sidewall_angle * np.pi / 180, \n", + " reference_plane = 'top',\n", + " slab_bounds = [0, core_thickness], \n", + " vertices = [[-eff_inf, -core_width/2], [eff_inf, -core_width/2], [eff_inf, core_width/2], [-eff_inf, core_width/2]]), \n", + " name = 'core', \n", + " medium = LiNbO3\n", ")\n", "\n", "\n", - "# Auto grid with 20 pts/λ\n", "grid_spec = td.GridSpec.auto(min_steps_per_wvl=20, wavelength=opt_wavelength)\n", "\n", "sim_opt = td.Simulation(\n", @@ -121,7 +115,7 @@ " medium=SiO2,\n", " structures=[ridge, core],\n", " grid_spec=grid_spec,\n", - ")" + ")\n" ] }, { @@ -129,191 +123,39 @@ "id": "e8801650", "metadata": {}, "source": [ - "### Creating the [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) object and running the mode simulation.\n", - "\n" + "### Creating the [ModSolver]() object and run mode simulation." ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "5edff819", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "mode_spec = td.ModeSpec(num_modes=5) # Request first five guided modes\n", + "## Creating the ModeSolver\n", "\n", - "plane_size = (0, sim_opt.bounding_box.size[1], sim_opt.bounding_box.size[2])\n", - "plane = sim_opt.bounding_box.updated_copy(size=plane_size)\n", + "mode_spec = td.ModeSpec(num_modes=5)\n", "\n", - "# Configure the optical mode solver at 1.55 μm\n", - "mode_solver_opt = ModeSolver(simulation=sim_opt, freqs=[freq_opt], mode_spec=mode_spec, plane=plane)\n", + "plane_size = (0,sim_opt.bounding_box.size[1], sim_opt.bounding_box.size[2])\n", + "plane = sim_opt.bounding_box.updated_copy(size=plane_size)\n", "\n", - "# Quick visual check of geometry before submitting\n", - "mode_solver_opt.plot()\n", + "mode_solver_opt = ModeSolver(simulation=sim_opt,\n", + " freqs=[freq_opt], \n", + " mode_spec=mode_spec,\n", + " plane = plane)\n", "\n", - "plt.show()" + "mode_solver_opt.plot()" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "a454c0e0", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
15:48:21 -03 Created task 'TFLN-opt_mode' with resource_id                      \n",
-       "             'mo-2f61d41e-4b95-40f6-9960-437f4e4f5141' and task_type            \n",
-       "             'MODE_SOLVER'.                                                     \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:48:21 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'TFLN-opt_mode'\u001b[0m with resource_id \n", - "\u001b[2;36m \u001b[0m\u001b[32m'mo-2f61d41e-4b95-40f6-9960-437f4e4f5141'\u001b[0m and task_type \n", - "\u001b[2;36m \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-\n",
-       "             40f6-9960-437f4e4f5141'.                                           \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at \n", - "\u001b[2;36m \u001b[0m\u001b]8;id=621734;https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-40f6-9960-437f4e4f5141\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=153209;https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-40f6-9960-437f4e4f5141\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=621734;https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-40f6-9960-437f4e4f5141\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=95025;https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-40f6-9960-437f4e4f5141\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=621734;https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-40f6-9960-437f4e4f5141\u001b\\\u001b[32m-2f61d41e-4b95-\u001b[0m\u001b]8;;\u001b\\\n", - "\u001b[2;36m \u001b[0m\u001b]8;id=621734;https://tidy3d.simulation.cloud/workbench?taskId=mo-2f61d41e-4b95-40f6-9960-437f4e4f5141\u001b\\\u001b[32m40f6-9960-437f4e4f5141'\u001b[0m\u001b]8;;\u001b\\. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Task folder: 'TFLN-VPI'.                                           \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=595758;https://tidy3d.simulation.cloud/folders/folder-8992deaf-7bd2-4439-9603-4a345bb23569\u001b\\\u001b[32m'TFLN-VPI'\u001b[0m\u001b]8;;\u001b\\. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9bd79cdc62d3430a87665710a76ef064", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
15:48:24 -03 Estimated FlexCredit cost: 0.004. Minimum cost depends on task     \n",
-       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
-       "             FlexCredit cost after a simulation run.                            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:48:24 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.004\u001b[0m. Minimum cost depends on task \n", - "\u001b[2;36m \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", - "\u001b[2;36m \u001b[0mFlexCredit cost after a simulation run. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
15:48:26 -03 status = success                                                   \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:48:26 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "1f03b47b7cfa4d94a0247f8b311c322f", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
15:48:38 -03 loading simulation from simulation_data.hdf5                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:48:38 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5 \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "mode_data_opt = web.run(\n", - " mode_solver_opt, task_name=\"TFLN-opt_mode\", folder_name=\"TFLN-VPI\"\n", - ") # Submit optical mode solve" + "mode_data_opt = web.run(mode_solver_opt,task_name = 'TFLN-opt_mode',folder_name = 'TFLN-VPI')" ] }, { @@ -326,155 +168,13 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "11417a3d", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "mode_solver_opt.plot_field(\"E\", \"abs^2\", mode_index=0) # Inspect principal optical mode\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "7c5b09ee", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
wavelengthn effk effTE (Ey) fractionwg TE fractionwg TM fractionmode area
fmode_index
1.934145e+1401.551.8514490.00.9997110.9883850.8695311.395676
11.551.8137470.00.9979920.9554860.8742271.537450
21.551.7628510.00.0048450.7752610.9877342.170106
31.551.7533010.00.9786580.9091640.8817801.840836
41.551.7223640.00.0302960.7853010.9515722.260011
\n", - "
" - ], - "text/plain": [ - " wavelength n eff k eff TE (Ey) fraction \\\n", - "f mode_index \n", - "1.934145e+14 0 1.55 1.851449 0.0 0.999711 \n", - " 1 1.55 1.813747 0.0 0.997992 \n", - " 2 1.55 1.762851 0.0 0.004845 \n", - " 3 1.55 1.753301 0.0 0.978658 \n", - " 4 1.55 1.722364 0.0 0.030296 \n", - "\n", - " wg TE fraction wg TM fraction mode area \n", - "f mode_index \n", - "1.934145e+14 0 0.988385 0.869531 1.395676 \n", - " 1 0.955486 0.874227 1.537450 \n", - " 2 0.775261 0.987734 2.170106 \n", - " 3 0.909164 0.881780 1.840836 \n", - " 4 0.785301 0.951572 2.260011 " - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "mode_data_opt.to_dataframe() # Tabulate effective index and loss" + "mode_solver_opt.plot_field(\"E\", \"abs^2\", mode_index=0)\n", + "mode_data_opt.to_dataframe()" ] }, { @@ -482,100 +182,72 @@ "id": "821fae2b", "metadata": {}, "source": [ - "## RF CPW Transmission Line \n", + "## RF CPW Transmission Line\n", "\n", "Next, we define the CPW geometry and again use [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) to calculate the RF mode." ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "fd57cb3d", "metadata": {}, "outputs": [], "source": [ - "rf_freqs = np.linspace(1e9, 65e9, 20) # Broadband sweep for the CPW\n", + "rf_freqs = np.linspace(1e9, 65e9, 20)\n", "\n", - "# RF materials\n", + "# RF mediums\n", "\n", - "si_rf = td.Medium(permittivity=11.7) # High-resistivity silicon substrate\n", - "sio2_rf = td.Medium(permittivity=3.9) # Oxide buffer beneath the CPW electrodes\n", - "air_rf = td.Medium() # Air top cladding\n", - "# RF permittivity tensor for TFLN stack\n", - "tfln_rf = td.AnisotropicMedium(\n", - " xx=td.Medium(permittivity=44), yy=td.Medium(permittivity=27.9), zz=td.Medium(permittivity=44)\n", - ")\n", - "metal = td.LossyMetalMedium(\n", - " frequency_range=(1e8, 1e11),\n", - " conductivity=41,\n", - " fit_param=td.SurfaceImpedanceFitterParam(\n", - " max_num_poles=16,\n", - " ),\n", - ")\n", + "si_rf = td.Medium(permittivity=11.7)\n", + "sio2_rf = td.Medium(permittivity=3.9) \n", + "air_rf = td.Medium() \n", + "tfln_rf = td.AnisotropicMedium(xx = td.Medium(permittivity=44),\n", + " yy = td.Medium(permittivity=27.9),\n", + " zz = td.Medium(permittivity=44)) \n", + "metal = td.LossyMetalMedium(frequency_range=(100000000.0, 100000000000.0),\n", + " conductivity=41,\n", + " fit_param = td.SurfaceImpedanceFitterParam(max_num_poles = 16, ))\n", "\n", - "# Layer stack parameters (μm)\n", "tfln_thickness = 0.2\n", "sio2_thickness = 7\n", "metal_thickness = 0.9\n", - "tfln_height = 4.7 + tfln_thickness / 2 # Center of the TFLN film above the silicon\n", + "tfln_height = 4.7 + tfln_thickness/2 # Distance between the center of the TFLN from the Si substrate\n", "\n", - "# CPW geometry (μm)\n", "cpw_thickness = 0.9\n", - "cpw_center = sio2_thickness / 2 - cpw_thickness / 2\n", + "cpw_center = sio2_thickness/2 - cpw_thickness/2\n", "cpw_width = 10\n", "cpw_gap = 4\n", "\n", - "# Ground electrode on the negative y side\n", - "cpw_left = td.Structure(\n", - " geometry=td.Box.from_bounds(\n", - " rmin=(-eff_inf, -eff_inf, cpw_center - cpw_thickness / 2),\n", - " rmax=(eff_inf, -cpw_width / 2 - cpw_gap, cpw_center + cpw_thickness / 2),\n", - " ),\n", - " medium=metal,\n", - ")\n", + "cpw_left = td.Structure(geometry = td.Box.from_bounds(rmin = (-eff_inf,-eff_inf,cpw_center - cpw_thickness/2),\n", + " rmax = (eff_inf,-cpw_width/2-cpw_gap,cpw_center + cpw_thickness/2)),\n", + " medium = metal)\n", "\n", - "# Ground electrode on the positive y side\n", - "cpw_right = td.Structure(\n", - " geometry=td.Box.from_bounds(\n", - " rmin=(-eff_inf, cpw_width / 2 + cpw_gap, cpw_center - cpw_thickness / 2),\n", - " rmax=(eff_inf, eff_inf, cpw_center + cpw_thickness / 2),\n", - " ),\n", - " medium=metal,\n", - ")\n", + "cpw_right = td.Structure(geometry = td.Box.from_bounds(rmin = (-eff_inf,cpw_width/2+cpw_gap,cpw_center - cpw_thickness/2),\n", + " rmax = (eff_inf,eff_inf,cpw_center + cpw_thickness/2)),\n", + " medium = metal)\n", "\n", - "# Signal electrode between grounds\n", - "cpw_center = td.Structure(\n", - " geometry=td.Box.from_bounds(\n", - " rmin=(-eff_inf, -cpw_width / 2, cpw_center - cpw_thickness / 2),\n", - " rmax=(eff_inf, cpw_width / 2, cpw_center + cpw_thickness / 2),\n", - " ),\n", - " medium=metal,\n", - ")\n", + "cpw_center = td.Structure(geometry = td.Box.from_bounds(rmin = (-eff_inf,-cpw_width/2,cpw_center - cpw_thickness/2),\n", + " rmax = (eff_inf,cpw_width/2,cpw_center + cpw_thickness/2)),\n", + " medium = metal)\n", "\n", "\n", - "# Oxide buffer volume under the CPW\n", - "sio2_slab = td.Structure(\n", - " geometry=td.Box(center=(0, 0, 0), size=(eff_inf, eff_inf, sio2_thickness)), medium=sio2_rf\n", - ")\n", - "# Thicker TFLN slab for RF simulation\n", - "tfln_slab = td.Structure(\n", - " geometry=td.Box(\n", - " center=(0, 0, -sio2_thickness / 2 + tfln_height), size=(eff_inf, eff_inf, tfln_thickness)\n", - " ),\n", - " medium=tfln_rf,\n", - ")\n", "\n", - "# Backside silicon substrate region\n", - "si_substrate = td.Structure(\n", - " geometry=td.Box.from_bounds(rmin=(-eff_inf, -eff_inf, -eff_inf), rmax=(eff_inf, eff_inf, -3.5)),\n", - " medium=si_rf,\n", - ")\n", + "sio2_slab = td.Structure(geometry = td.Box(center = (0,0,0),\n", + " size = (eff_inf, eff_inf, sio2_thickness)),\n", + " medium = sio2_rf)\n", + "tfln_slab = td.Structure(geometry = td.Box(center = (0,0,-sio2_thickness/2+tfln_height),\n", + " size = (eff_inf, eff_inf, tfln_thickness)),\n", + " medium = tfln_rf) \n", + "\n", + "si_substrate = td.Structure(geometry = td.Box.from_bounds(rmin = (-eff_inf,-eff_inf,-eff_inf),\n", + " rmax = (eff_inf,eff_inf,-3.5)),\n", + " medium = si_rf)\n", "\n", - "# Upper air region above electrodes\n", - "air_gap = td.Structure(\n", - " geometry=td.Box.from_bounds(rmin=(-eff_inf, -eff_inf, 3.5), rmax=(eff_inf, eff_inf, eff_inf)),\n", - " medium=air_rf,\n", - ")" + "air_gap = td.Structure(geometry = td.Box.from_bounds(rmin = (-eff_inf,-eff_inf,3.5),\n", + " rmax = (eff_inf,eff_inf,eff_inf)),\n", + " medium = air_rf)\n", + "\n", + "\n" ] }, { @@ -588,7 +260,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "101d737f", "metadata": {}, "outputs": [], @@ -599,27 +271,25 @@ "\n", "# Define Layer refinement spec\n", "lr_spec = td.LayerRefinementSpec.from_structures(\n", - " structures=[cpw_center, cpw_left, cpw_right],\n", + " structures=[cpw_center,cpw_left,cpw_right],\n", " min_steps_along_axis=5,\n", " corner_refinement=td.GridRefinement(dl=cpw_thickness / 10, num_cells=5),\n", " refinement_inside_sim_only=False,\n", ")\n", "\n", - "\n", + "# Overall grid specification\n", "grid_spec = td.GridSpec.auto(\n", " min_steps_per_wvl=100,\n", " wavelength=td.C_0 / max(rf_freqs),\n", " layer_refinement_specs=[lr_spec],\n", ")\n", "\n", - "sim_rf_size = (25, 138, 150)\n", + "sim_rf_size = (25,138,150)\n", "\n", - "sim_rf = td.Simulation(\n", - " size=sim_rf_size,\n", - " structures=[sio2_slab, tfln_slab, si_substrate, air_gap, cpw_left, cpw_right, cpw_center],\n", - " grid_spec=grid_spec,\n", - " run_time=1e-12,\n", - ")" + "sim_rf = td.Simulation(size = sim_rf_size,\n", + " structures = [sio2_slab, tfln_slab, si_substrate, air_gap, cpw_left, cpw_right, cpw_center],\n", + " grid_spec =grid_spec,\n", + " run_time = 1e-12)" ] }, { @@ -632,26 +302,15 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "17b2eab6", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "ax = sim_rf.plot(x=0) # Visualize CPW layout at x=0\n", - "sim_rf.plot_grid(x=0, ax=ax) # Overlay mesh refinement\n", - "ax.set_xlim(-10, 10)\n", - "ax.set_ylim(-10, 10)\n", + "ax = sim_rf.plot(x = 0)\n", + "sim_rf.plot_grid(x = 0, ax = ax)\n", + "ax.set_xlim(-10,10)\n", + "ax.set_ylim(-10,10)\n", "\n", "plt.show()" ] @@ -661,35 +320,28 @@ "id": "b03b10c2", "metadata": {}, "source": [ - "Now, we define a [WavePort](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.smatrix.WavePort.html) object containing a [current](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.CurrentIntegralAxisAligned.html) integration path defined around the CPW signal, and a [voltage](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.VoltageIntegralAxisAligned.html) integration path from the signal to ground to calculate impedance." + "Now, we define a [WavePort](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.smatrix.WavePort.html) object containing a [current](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.CurrentIntegralAxisAligned.html) integration path defined around the CPW signal, and a [voltage](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.VoltageIntegralAxisAligned.html) integration path from the signal to ground to calculate impedance.\n" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "1318f55c", "metadata": {}, "outputs": [], "source": [ - "# Integration loop encloses signal conductor\n", - "I_int = mw.CurrentIntegralAxisAligned(\n", - " center=cpw_center.geometry.center,\n", - " size=(\n", - " 0,\n", - " cpw_width + cpw_gap,\n", - " 5 * cpw_thickness,\n", - " ),\n", - " sign=\"+\",\n", - ")\n", - "\n", - "# Line integral samples voltage across signal-ground gap\n", + "# Define current integration path (loop)\n", + "I_int = mw.CurrentIntegralAxisAligned(center=cpw_center.geometry.center, \n", + " size=(0,cpw_width+cpw_gap, 5 * cpw_thickness, \n", + " ), sign=\"+\")\n", + "# Define voltage integration path (line)\n", "V_int = mw.VoltageIntegralAxisAligned(\n", - " center=(0, cpw_width / 2 + cpw_gap / 2, cpw_center.geometry.center[2]),\n", + " center=(0,cpw_width/2 + cpw_gap/2, cpw_center.geometry.center[2]),\n", " size=(0, cpw_gap, 0),\n", " sign=\"-\",\n", ")\n", "\n", - "# WavePort bundles the integrals into a port definition\n", + "# Define wave ports\n", "WP1 = sm.WavePort(\n", " center=cpw_center.geometry.center,\n", " size=(0, sim_rf.size[1], sim_rf.size[2]),\n", @@ -698,7 +350,17 @@ " name=\"WP1\",\n", " current_integral=I_int,\n", " voltage_integral=V_int,\n", - ")" + ")\n", + "\n", + "# Plot V and I integration paths\n", + "fig, ax = plt.subplots(figsize=(10, 3))\n", + "# mode_solver.plot_field(field_name=\"Ex\", val=\"real\", f=rf_freqs[0], ax=ax)\n", + "mode_solver_rf.plot(ax=ax)\n", + "I_int.plot(x=0, ax=ax)\n", + "V_int.plot(x=0, ax=ax)\n", + "ax.set_xlim(-20,20)\n", + "ax.set_ylim(-10, 10)\n", + "plt.show()" ] }, { @@ -706,185 +368,26 @@ "id": "04dad6c3", "metadata": {}, "source": [ - "Finally, we can use the [WavePort](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.smatrix.WavePort.html) object to automatically configure the [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) based on the RF simulation model." + "Finally, we can use our [WavePort](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.smatrix.WavePort.html) object to automatically configure the [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) based on the RF simulation model.\n" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "4d8cf718", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Obtain mode solver from wave port\n", - "mode_solver_rf = WP1.to_mode_solver(simulation=sim_rf, freqs=rf_freqs)\n", - "\n", - "# Plot V and I integration paths\n", - "fig, ax = plt.subplots(figsize=(10, 3))\n", - "mode_solver_rf.plot(ax=ax) # Show CPW geometry defined by the port plane\n", - "I_int.plot(x=0, ax=ax)\n", - "V_int.plot(x=0, ax=ax)\n", - "ax.set_xlim(-20, 20)\n", - "ax.set_ylim(-10, 10)\n", - "plt.show()" + "mode_solver_rf = WP1.to_mode_solver(simulation=sim_rf, freqs=rf_freqs)" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "7fb8daeb", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
15:48:39 -03 Created task 'CPW mode solver' with resource_id                    \n",
-       "             'mo-86904f7a-93d4-4179-aea2-7b505fd2b829' and task_type            \n",
-       "             'MODE_SOLVER'.                                                     \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:48:39 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'CPW mode solver'\u001b[0m with resource_id \n", - "\u001b[2;36m \u001b[0m\u001b[32m'mo-86904f7a-93d4-4179-aea2-7b505fd2b829'\u001b[0m and task_type \n", - "\u001b[2;36m \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-\n",
-       "             4179-aea2-7b505fd2b829'.                                           \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at \n", - "\u001b[2;36m \u001b[0m\u001b]8;id=105546;https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-4179-aea2-7b505fd2b829\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=525751;https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-4179-aea2-7b505fd2b829\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=105546;https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-4179-aea2-7b505fd2b829\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=706786;https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-4179-aea2-7b505fd2b829\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=105546;https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-4179-aea2-7b505fd2b829\u001b\\\u001b[32m-86904f7a-93d4-\u001b[0m\u001b]8;;\u001b\\\n", - "\u001b[2;36m \u001b[0m\u001b]8;id=105546;https://tidy3d.simulation.cloud/workbench?taskId=mo-86904f7a-93d4-4179-aea2-7b505fd2b829\u001b\\\u001b[32m4179-aea2-7b505fd2b829'\u001b[0m\u001b]8;;\u001b\\. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Task folder: 'default'.                                            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=859771;https://tidy3d.simulation.cloud/folders/folder-f9e994c1-6315-4b44-af3a-c2cb1435b23a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "061e10d2e43c4e93bc4ac62547071355", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
15:48:42 -03 Estimated FlexCredit cost: 0.006. Minimum cost depends on task     \n",
-       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
-       "             FlexCredit cost after a simulation run.                            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:48:42 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.006\u001b[0m. Minimum cost depends on task \n", - "\u001b[2;36m \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", - "\u001b[2;36m \u001b[0mFlexCredit cost after a simulation run. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
15:48:44 -03 status = success                                                   \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:48:44 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a50e0f602b85485896264a85577f4a1c", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
15:48:58 -03 loading simulation from data/WP1_mode_data.hdf5                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:48:58 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/WP1_mode_data.hdf5 \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "mode_data_rf = web.run(mode_solver_rf, task_name=\"CPW mode solver\", path=\"data/WP1_mode_data.hdf5\")" ] @@ -894,28 +397,17 @@ "id": "5a07d673", "metadata": {}, "source": [ - "We can now use the built-in [ImpedanceCalculator](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.ImpedanceCalculator.html) to calculate and visualize the impedance results." + "We can now use the built-in [ImpedanceCalculator](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.ImpedanceCalculator.html) to calculate and visualize the impedance results.\n" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "299e42fb", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "# Characteristic impedance from port integrals\n", + "# Calculate Z0\n", "Z0_mode = np.conjugate(\n", " mw.ImpedanceCalculator(voltage_integral=V_int, current_integral=I_int).compute_impedance(\n", " mode_data_rf\n", @@ -923,17 +415,14 @@ ").squeeze()\n", "\n", "\n", - "# Inspect RF Ey distribution\n", "fig, ax = plt.subplots(1, 2, figsize=(9, 3), tight_layout=True)\n", "\n", "mode_solver_rf.plot_field(\"Ey\", \"real\", f=rf_freqs[0].item(), robust=False, ax=ax[0])\n", - "ax[0].set_xlim(-20, 20)\n", - "ax[0].set_ylim(-20, 20)\n", - "\n", - "ax[1].plot(Z0_mode.f * 1e-9, Z0_mode.real) # Plot real part of Z0 versus frequency\n", - "_ = ax[1].set(xlabel=\"Frequencies (GHz)\", ylabel=\"Re{Z₀} (Ω)\")\n", + "ax[0].set_xlim(-20,20)\n", + "ax[0].set_ylim(-20,20)\n", "\n", - "plt.show()" + "ax[1].plot(Z0_mode.f * 1e-9, Z0_mode.real)\n", + "_ = ax[1].set(xlabel=\"Frequencies (GHz)\", ylabel=\"Re{Z₀} (Ω)\")" ] }, { @@ -941,291 +430,106 @@ "id": "52e82ec2", "metadata": {}, "source": [ - "## Computation of Vπ·L \n", + "## Computation of Vπ·L\n", "\n", "Next, we run a similar mode simulation, this time adding the TFLN waveguides beneath the CPW gaps. We then monitor the RF fields at the waveguides and calculate the index change due to the Pockels effect." ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "0b823b69", "metadata": {}, "outputs": [], "source": [ - "# Align RF and optical coordinates\n", "delta_z = tfln_slab.geometry.center[2] - ridge.geometry.center[2]\n", "\n", - "# Waveguides beneath right CPW gap to sample RF field\n", - "waveguide_r = [\n", - " ridge.updated_copy(\n", - " geometry=ridge.geometry.translated(x=0, y=cpw_width / 2 + cpw_gap / 2, z=delta_z),\n", - " name=\"ridge_r\",\n", - " medium=tfln_rf,\n", - " ),\n", - " core.updated_copy(\n", - " geometry=core.geometry.translated(x=0, y=-cpw_width / 2 - cpw_gap / 2, z=delta_z),\n", - " name=\"core_r\",\n", - " medium=tfln_rf,\n", - " ),\n", - "]\n", - "\n", - "# Waveguides beneath left CPW gap\n", - "waveguide_l = [\n", - " ridge.updated_copy(\n", - " geometry=ridge.geometry.translated(x=0, y=-cpw_width / 2 - cpw_gap / 2, z=delta_z),\n", - " name=\"ridge_l\",\n", - " medium=tfln_rf,\n", - " ),\n", - " core.updated_copy(\n", - " geometry=core.geometry.translated(x=0, y=cpw_width / 2 + cpw_gap / 2, z=delta_z),\n", - " name=\"core_l\",\n", - " medium=tfln_rf,\n", - " ),\n", - "]\n", - "\n", - "# Mesh overrides tighten resolution in core and gaps\n", - "override_region = td.MeshOverrideStructure(\n", - " geometry=td.Box(\n", - " size=(eff_inf, eff_inf, slab_thickness + core_thickness),\n", - " center=(0, 0, tfln_slab.geometry.center[2] + tfln_thickness / 2),\n", - " ),\n", - " dl=(None, None, 0.01),\n", - ")\n", - "\n", - "gap_center = cpw_center.geometry.center[1] + cpw_width / 2 + cpw_gap / 2\n", - "\n", - "override_region_gap_l = td.MeshOverrideStructure(\n", - " geometry=td.Box(size=(eff_inf, cpw_gap, eff_inf), center=(0, gap_center, 0)),\n", - " dl=(None, 0.01, None),\n", - ")\n", - "\n", - "override_region_gap_r = td.MeshOverrideStructure(\n", - " geometry=td.Box(size=(eff_inf, cpw_gap, eff_inf), center=(0, -gap_center, 0)),\n", - " dl=(None, 0.01, None),\n", - ")\n", + "waveguide_r = [ridge.updated_copy(geometry = ridge.geometry.translated(x=0,y=cpw_width/2 + cpw_gap/2,z=delta_z),\n", + " name = 'ridge_r',\n", + " medium = tfln_rf), \n", + " core.updated_copy(geometry = core.geometry.translated(x=0,y=-cpw_width/2 - cpw_gap/2,z=delta_z),\n", + " name = 'core_r',\n", + " medium = tfln_rf)]\n", + "\n", + "waveguide_l = [ridge.updated_copy(geometry = ridge.geometry.translated(x=0,y=-cpw_width/2 - cpw_gap/2,z=delta_z),\n", + " name = 'ridge_l',\n", + " medium = tfln_rf), \n", + " core.updated_copy(geometry = core.geometry.translated(x=0,y=cpw_width/2 + cpw_gap/2,z=delta_z),\n", + " name = 'core_l',\n", + " medium = tfln_rf)]\n", + "\n", + "override_region = td.MeshOverrideStructure(geometry = td.Box(size = (eff_inf,\n", + " eff_inf,\n", + " slab_thickness + core_thickness),\n", + " center = (0,0,tfln_slab.geometry.center[2]+tfln_thickness/2)),\n", + " dl = (None,None,0.01))\n", + "\n", + "gap_center = cpw_center.geometry.center[1] + cpw_width/2 + cpw_gap/2\n", + "\n", + "override_region_gap_l = td.MeshOverrideStructure(geometry = td.Box(size = (eff_inf,\n", + " cpw_gap,\n", + " eff_inf),\n", + " center = (0,gap_center,0)),\n", + " dl = (None,0.01,None))\n", + "\n", + "override_region_gap_r = td.MeshOverrideStructure(geometry = td.Box(size = (eff_inf,\n", + " cpw_gap,\n", + " eff_inf),\n", + " center = (0,-gap_center,0)),\n", + " dl = (None,0.01,None)) \n", + "\n", + "\n", + "grid_spec_vpi = grid_spec.updated_copy(override_structures = [override_region,\n", + " override_region_gap_l,\n", + " override_region_gap_r])\n", + "sim_vpi = sim_rf.updated_copy(structures = [sio2_slab, \n", + " si_substrate, air_gap, cpw_left, cpw_right, cpw_center]\\\n", + " + waveguide_r + waveguide_l,\n", + " grid_spec = grid_spec_vpi)\n", "\n", - "\n", - "# Updated RF simulation including optical rails\n", - "grid_spec_vpi = grid_spec.updated_copy(\n", - " override_structures=[override_region, override_region_gap_l, override_region_gap_r]\n", - ")\n", - "sim_vpi = sim_rf.updated_copy(\n", - " structures=[sio2_slab, si_substrate, air_gap, cpw_left, cpw_right, cpw_center]\n", - " + waveguide_r\n", - " + waveguide_l,\n", - " grid_spec=grid_spec_vpi,\n", - ")" + "\n" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "de0b6b55", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "mzm_solver = ModeSolver(\n", - " simulation=sim_vpi, # RF mode solver with optical rails present\n", - " plane=mode_solver_rf.plane,\n", - " mode_spec=td.ModeSpec(num_modes=1, target_neff=2.2),\n", - " freqs=rf_freqs,\n", - ")\n", + "mzm_solver = ModeSolver(simulation = sim_vpi,\n", + " plane = mode_solver_rf.plane,\n", + " mode_spec = td.ModeSpec(num_modes=1,\n", + " target_neff=2.2),\n", + " freqs = rf_freqs)\n", "\n", "\n", - "ax = mzm_solver.plot() # Check geometry with overrides applied\n", - "mzm_solver.plot_grid(ax=ax) # Ensure mesh resolution near rails\n", - "ax.set_ylim(1, 5)\n", - "ax.set_xlim(4, 10)\n", "\n", - "plt.show()" + "\n", + "ax = mzm_solver.plot()\n", + "mzm_solver.plot_grid(ax=ax)\n", + "ax.set_ylim(1,5)\n", + "ax.set_xlim(4,10)" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "38935f5b", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
15:48:59 -03 Created task 'MZM mode solver' with resource_id                    \n",
-       "             'mo-52903d65-000d-403f-8f79-c68722127fc6' and task_type            \n",
-       "             'MODE_SOLVER'.                                                     \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:48:59 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'MZM mode solver'\u001b[0m with resource_id \n", - "\u001b[2;36m \u001b[0m\u001b[32m'mo-52903d65-000d-403f-8f79-c68722127fc6'\u001b[0m and task_type \n", - "\u001b[2;36m \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-\n",
-       "             403f-8f79-c68722127fc6'.                                           \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at \n", - "\u001b[2;36m \u001b[0m\u001b]8;id=486915;https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-403f-8f79-c68722127fc6\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=89770;https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-403f-8f79-c68722127fc6\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=486915;https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-403f-8f79-c68722127fc6\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=977201;https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-403f-8f79-c68722127fc6\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=486915;https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-403f-8f79-c68722127fc6\u001b\\\u001b[32m-52903d65-000d-\u001b[0m\u001b]8;;\u001b\\\n", - "\u001b[2;36m \u001b[0m\u001b]8;id=486915;https://tidy3d.simulation.cloud/workbench?taskId=mo-52903d65-000d-403f-8f79-c68722127fc6\u001b\\\u001b[32m403f-8f79-c68722127fc6'\u001b[0m\u001b]8;;\u001b\\. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Task folder: 'default'.                                            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=471469;https://tidy3d.simulation.cloud/folders/folder-f9e994c1-6315-4b44-af3a-c2cb1435b23a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "91aced32453146ca813a2d9a2931f108", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
15:49:02 -03 Estimated FlexCredit cost: 0.015. Minimum cost depends on task     \n",
-       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
-       "             FlexCredit cost after a simulation run.                            \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:49:02 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.015\u001b[0m. Minimum cost depends on task \n", - "\u001b[2;36m \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", - "\u001b[2;36m \u001b[0mFlexCredit cost after a simulation run. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
15:49:04 -03 status = success                                                   \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:49:04 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "fc67c005e5af4081aa7b558a14e88a2c", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
15:49:27 -03 loading simulation from data/MZM_mode_data.hdf5                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:49:27 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/MZM_mode_data.hdf5 \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "mzm_mode_data = web.run(\n", - " mzm_solver, task_name=\"MZM mode solver\", path=\"data/MZM_mode_data.hdf5\"\n", - ") # RF fields with waveguides included" + "mzm_mode_data = web.run(mzm_solver, task_name=\"MZM mode solver\", path=\"data/MZM_mode_data.hdf5\")" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "7d132394", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "_ = mzm_solver.plot_field(\n", - " \"Ey\", \"real\", f=rf_freqs[0], mode_index=0, robust=True\n", - ") # Ey component couples to r33\n", - "\n", - "plt.show()" + "_ = mzm_solver.plot_field(\"Ey\", \"real\", f=rf_freqs[0], mode_index=0, robust=True)" ] }, { @@ -1238,26 +542,15 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "id": "a7147eea", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "n_eff = mzm_solver.data.n_eff.isel(mode_index=0).values # RF effective index with rails\n", + "n_eff = mzm_solver.data.n_eff.isel(mode_index=0).values\n", "\n", "# Calculate Z0\n", - "Z0_mzm = np.conjugate( # Characteristic impedance versus frequency\n", + "Z0_mzm= np.conjugate(\n", " mw.ImpedanceCalculator(voltage_integral=V_int, current_integral=I_int).compute_impedance(\n", " mzm_mode_data\n", " )\n", @@ -1265,13 +558,11 @@ "\n", "fig, ax = plt.subplots(1, 2, figsize=(8, 3), tight_layout=True)\n", "\n", - "ax[0].plot(rf_freqs * 1e-9, n_eff, \".-\") # Dispersion of RF effective index\n", + "ax[0].plot(rf_freqs * 1e-9, n_eff, \".-\")\n", "ax[0].set(ylabel=\"Effective Index\", xlabel=\"Frequency (GHz)\")\n", "\n", - "ax[1].plot(rf_freqs * 1e-9, np.real(Z0_mzm), \".-\") # Impedance trend across band\n", - "_ = ax[1].set(ylabel=\"Re{Z₀} (Ω)\", xlabel=\"Frequency (GHz)\")\n", - "\n", - "plt.show()" + "ax[1].plot(rf_freqs * 1e-9, np.real(Z0_mzm), \".-\")\n", + "_ = ax[1].set(ylabel=\"Re{Z₀} (Ω)\", xlabel=\"Frequency (GHz)\")" ] }, { @@ -1284,35 +575,20 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "82671b9d", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "v0 = WP1.voltage_integral.compute_voltage(\n", - " mzm_solver.data\n", - ") # Extract net port voltage at each frequency\n", - "ey_norm = (\n", - " (mzm_solver.data.Ey / v0).isel(f=0, mode_index=0, drop=True).abs\n", - ") # Normalize Ey to 1 V drive\n", "\n", - "offset = cpw_width / 2 + cpw_gap / 2\n", - "ey_norm = ey_norm.assign_coords(y=ey_norm.y - offset) # Shift origin so optical core sits at y=0\n", + "v0 = WP1.voltage_integral.compute_voltage(mzm_solver.data)\n", + "ey_norm = (mzm_solver.data.Ey / v0).isel(f=0, mode_index=0, drop=True).abs\n", "\n", - "ey_norm.isel(x=0).transpose(\"z\", \"y\").plot(robust=True) # Field sampled through waveguide height\n", + "offset = cpw_width/2 + cpw_gap/2\n", + "ey_norm = ey_norm.assign_coords(y=ey_norm.y - offset)\n", "\n", - "plt.show()" + "ey_norm.isel(x=0).transpose(\"z\", \"y\").plot(robust=True)\n", + "# _ = plt.gca().set(xlim=(-gap, gap), ylim=(-1, 4))" ] }, { @@ -1325,33 +601,20 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "id": "c2e97084", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "eps_o, eps_e, _ = (e.real for e in LiNbO3.eps_diagonal(td.C_0 / opt_wavelength))\n", + "eps_o, eps_e, _ = (e.real for e in LiNbO3.eps_diagonal(td.C_0/opt_wavelength))\n", "n_e = eps_e**0.5\n", - "r33 = 30.9e-6 # μm/V electro-optic coefficient\n", + "r33 = 30.9e-6 # μm/V\n", "\n", "# Index variation derived from the RF field\n", - "Δn = -0.5 * n_e**3 * r33 * ey_norm # Voltage-induced index perturbation\n", + "Δn = -0.5 * n_e**3 * r33 * ey_norm\n", "\n", "# We plot the whole domain, but the perturbation will only take effect over the LiNbO₃, not everywhere\n", - "_ = Δn.isel(x=0).transpose(\"z\", \"y\").plot(robust=False)\n", - "\n", - "plt.show()" + "_ = Δn.isel(x=0).transpose(\"z\", \"y\").plot(robust=False)" ] }, { @@ -1359,32 +622,32 @@ "id": "ff40809b", "metadata": {}, "source": [ - "We can now define an auxiliary function to create the perturbed medium using a [CustomAnisotropicMedium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomAnisotropicMedium.html) object as a function of the voltage, and return a [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) object." + "We can now define an auxiliary function to create the perturbed medium using a [CustomAnisotropicMedium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomAnisotropicMedium.html) object as a function of the voltage, and return a [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) object.\n" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "id": "6a02f7c3", "metadata": {}, "outputs": [], "source": [ "# Use a single data point for the homogeneous directions\n", - "eps_o_array = td.SpatialDataArray(np.full((1, 1, 1), eps_o), coords={\"x\": [0], \"y\": [0], \"z\": [0]})\n", + "eps_o_array = td.SpatialDataArray(\n", + " np.full((1, 1, 1), eps_o), coords={\"x\": [0], \"y\": [0], \"z\": [0]}\n", + ")\n", "\n", "\n", - "# Build a voltage-dependent optical simulation\n", "def perturbed_solver(voltage):\n", " perturbed_ln = td.CustomAnisotropicMedium(\n", " xx=td.CustomMedium(permittivity=eps_o_array, subpixel=True),\n", " yy=td.CustomMedium(permittivity=(n_e + voltage * Δn) ** 2, subpixel=True),\n", - " zz=td.CustomMedium(permittivity=eps_o_array, subpixel=True), # Assume x and z indices fixed\n", - " )\n", - " perturbed_sim = sim_opt.updated_copy(\n", - " structures=[core.updated_copy(medium=perturbed_ln), ridge.updated_copy(medium=perturbed_ln)]\n", + " zz=td.CustomMedium(permittivity=eps_o_array, subpixel=True),\n", " )\n", - " ms = mode_solver_opt.updated_copy(simulation=perturbed_sim) # Reuse optical solver settings\n", - " return ms" + " perturbed_sim = sim_opt.updated_copy(structures = [core.updated_copy(medium = perturbed_ln), \n", + " ridge.updated_copy(medium = perturbed_ln)])\n", + " ms = mode_solver_opt.updated_copy(simulation = perturbed_sim)\n", + " return ms " ] }, { @@ -1397,148 +660,19 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "id": "29e27d6c", "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2f1df252f5e94d88a730c38d0fdbd088", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
15:49:36 -03 Started working on Batch containing 5 tasks.                       \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:49:36 -03\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m5\u001b[0m tasks. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
15:49:43 -03 Maximum FlexCredit cost: 0.020 for the whole batch.                \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:49:43 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.020\u001b[0m for the whole batch. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
-       "             Batch has completed.                                               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", - "\u001b[2;36m \u001b[0mBatch has completed. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9c228db6c4c44d04a0561727070d3f80", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
15:49:48 -03 Batch complete.                                                    \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m15:49:48 -03\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fff003e876b24adfb3009c49bfdd5c37",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "voltages = np.arange(5)  # 0–4 V sweep\n",
+    "voltages = np.arange(5)\n",
     "\n",
-    "sims = {str(v): perturbed_solver(v) for v in voltages}  # Label each job by voltage\n",
+    "sims = {str(v):perturbed_solver(v) for v in voltages}\n",
     "\n",
-    "batch = web.Batch(\n",
-    "    simulations=sims,  # Submit perturbed optical solves\n",
-    "    folder_name=\"perturbed_mode\",\n",
-    ")\n",
+    "batch = web.Batch(simulations = sims,\n",
+    "                  folder_name = 'perturbed_mode')\n",
     "\n",
-    "batch_data = batch.run(path_dir=\"batch_perturbed_mode\")  # Download results when ready"
+    "batch_data = batch.run(path_dir = 'batch_perturbed_mode')"
    ]
   },
   {
@@ -1551,74 +685,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "id": "7b8459f0",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "n_eff = [\n", - " sim_data.n_eff.isel(mode_index=0, f=0).item() for sim_data in batch_data.values()\n", - "] # Optical neff versus voltage\n", + "n_eff = [sim_data.n_eff.isel(mode_index=0, f=0).item() for sim_data in batch_data.values()]\n", "\n", - "plt.plot(voltages, n_eff, \".-\") # Observe linear index tuning\n", - "_ = plt.ticklabel_format(style=\"plain\", useOffset=False)\n", - "plt.gca().set(xlabel=\"Voltage (V)\", ylabel=\"Optical Effective Index\") # Annotate axes\n", + "_ = plt.plot(voltages, n_eff, \".-\")\n", + "_ plt.ticklabel_format(style='plain', useOffset=False)\n", + "plt.gca().set(xlabel=\"Voltage (V)\", ylabel=\"Optical Effective Index\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "id": "8093b264", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Vπ·L (single-drive) = 7.62 V·cm\n", - "Vπ·L (push-pull) = 3.81 V·cm\n" - ] - } - ], + "outputs": [], "source": [ - "# Use the slope between 0 and 4 V to approximate dn_eff/dV\n", + "# The variation is quite linear, so we simply use the largest interval\n", "dneff_dV = abs(n_eff[-1] - n_eff[0]) / (voltages[-1] - voltages[0])\n", "\n", - "vpil = 0.5 * opt_wavelength / dneff_dV # in V·μm\n", + "vpil = 0.5 * opt_wavelength / dneff_dV # in V·μm\"\n", "\n", - "print(f\"Vπ·L (single-drive) = {vpil * 1e-4:.2f} V·cm\") # Convert to standard units\n", - "print(f\"Vπ·L (push-pull) = {vpil * 1e-4 / 2:.2f} V·cm\") # Push-pull halves required voltage" + "print(f\"Vπ·L (single-drive) = {vpil * 1e-4:.2f} V·cm\")\n", + "print(f\"Vπ·L (push-pull) = {vpil * 1e-4 / 2:.2f} V·cm\")" ] } ], "metadata": { - "applications": [ - "Active photonic integrated circuit components" - ], - "description": "This notebook demonstrates how to simulate a thin-film lithium niobate electro-optic modulator using Tidy3D.", - "feature_image": "./img/TFLN_EOM_Tidy3D.png", - "features": [ - "Wave port" - ], "kernelspec": { "display_name": "td2100rc2", "language": "python", "name": "python3" }, - "keywords": "electro-optic modulator, lithium niobate, Pockels effect, Tidy3D, FDTD", "language_info": { "codemirror_mode": { "name": "ipython", @@ -1630,8 +733,7 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.13" - }, - "title": "How to model TFLN EOM using Tidy3D | Flexcompute" + } }, "nbformat": 4, "nbformat_minor": 5 From 36f62c65bfc5b26c32f91b2e22848ef5cb414ffc Mon Sep 17 00:00:00 2001 From: "filipe@flexcompute.com" Date: Mon, 27 Oct 2025 12:03:11 -0300 Subject: [PATCH 3/5] lint --- TFLNTidy3d.ipynb | 1248 +++++++++++++++++++++++++++++++++++++++------- 1 file changed, 1060 insertions(+), 188 deletions(-) diff --git a/TFLNTidy3d.ipynb b/TFLNTidy3d.ipynb index 5bcd3030..5e5a9bfb 100644 --- a/TFLNTidy3d.ipynb +++ b/TFLNTidy3d.ipynb @@ -13,7 +13,7 @@ "\n", "Finally, we calculate the electro-optic overlap and predict the Vπ·L figure of merit.\n", "\n", - "You can check here the same model, along with the full chip layout integrated with a foundry PDK, using [Photonforge](https://www.flexcompute.com/photonforge/), our photonic design automation tool.\n", + "You can check [here](https://docs.flexcompute.com/projects/photonforge/en/latest/examples/EO-MZM.html) the same model, along with the full chip layout integrated with a foundry PDK, using [Photonforge](https://www.flexcompute.com/photonforge/), our photonic design automation tool.\n", "\n", "\"Schematic\n", "\n" @@ -35,21 +35,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "7cc91408", "metadata": {}, "outputs": [], "source": [ "# Core simulation and plotting libraries\n", - "import tidy3d as td\n", "import numpy as np\n", - "from matplotlib import pyplot as plt\n", - "from tidy3d.plugins.mode import ModeSolver\n", - "from tidy3d import web\n", + "import tidy3d as td\n", "\n", "# RF utilities for impedance and port definitions\n", "import tidy3d.plugins.microwave as mw\n", "import tidy3d.plugins.smatrix as sm\n", + "from matplotlib import pyplot as plt\n", + "from tidy3d import web\n", + "from tidy3d.plugins.mode import ModeSolver\n", "\n", "# Suppress verbose logs to keep the notebook output clear\n", "td.config.logging_level = \"ERROR\"" @@ -65,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "a43b5172", "metadata": {}, "outputs": [], @@ -86,24 +86,32 @@ "core_width = 3.0\n", "slab_thickness = 0.2\n", "plane_size = 8\n", - "plane_limits = (-1.5,1.9)\n", + "plane_limits = (-1.5, 1.9)\n", "plane_height = 3.4\n", "\n", "\n", "ridge = td.Structure(\n", " name=\"ridge\",\n", - " geometry=td.Box(center=(0.0, 0.0, -slab_thickness/2), \n", - " size=(eff_inf, eff_inf, slab_thickness)),\n", + " geometry=td.Box(\n", + " center=(0.0, 0.0, -slab_thickness / 2), size=(eff_inf, eff_inf, slab_thickness)\n", + " ),\n", " medium=LiNbO3,\n", ")\n", "\n", "core = td.Structure(\n", - " geometry = td.PolySlab(sidewall_angle = sidewall_angle * np.pi / 180, \n", - " reference_plane = 'top',\n", - " slab_bounds = [0, core_thickness], \n", - " vertices = [[-eff_inf, -core_width/2], [eff_inf, -core_width/2], [eff_inf, core_width/2], [-eff_inf, core_width/2]]), \n", - " name = 'core', \n", - " medium = LiNbO3\n", + " geometry=td.PolySlab(\n", + " sidewall_angle=sidewall_angle * np.pi / 180,\n", + " reference_plane=\"top\",\n", + " slab_bounds=[0, core_thickness],\n", + " vertices=[\n", + " [-eff_inf, -core_width / 2],\n", + " [eff_inf, -core_width / 2],\n", + " [eff_inf, core_width / 2],\n", + " [-eff_inf, core_width / 2],\n", + " ],\n", + " ),\n", + " name=\"core\",\n", + " medium=LiNbO3,\n", ")\n", "\n", "\n", @@ -115,7 +123,7 @@ " medium=SiO2,\n", " structures=[ridge, core],\n", " grid_spec=grid_spec,\n", - ")\n" + ")" ] }, { @@ -128,34 +136,191 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "5edff819", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "## Creating the ModeSolver\n", "\n", "mode_spec = td.ModeSpec(num_modes=5)\n", "\n", - "plane_size = (0,sim_opt.bounding_box.size[1], sim_opt.bounding_box.size[2])\n", + "plane_size = (0, sim_opt.bounding_box.size[1], sim_opt.bounding_box.size[2])\n", "plane = sim_opt.bounding_box.updated_copy(size=plane_size)\n", "\n", - "mode_solver_opt = ModeSolver(simulation=sim_opt,\n", - " freqs=[freq_opt], \n", - " mode_spec=mode_spec,\n", - " plane = plane)\n", + "mode_solver_opt = ModeSolver(simulation=sim_opt, freqs=[freq_opt], mode_spec=mode_spec, plane=plane)\n", "\n", "mode_solver_opt.plot()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "a454c0e0", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
11:59:38 -03 Created task 'TFLN-opt_mode' with resource_id                      \n",
+       "             'mo-d7687704-b36c-40bc-9e28-ca4c65db8e72' and task_type            \n",
+       "             'MODE_SOLVER'.                                                     \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m11:59:38 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'TFLN-opt_mode'\u001b[0m with resource_id \n", + "\u001b[2;36m \u001b[0m\u001b[32m'mo-d7687704-b36c-40bc-9e28-ca4c65db8e72'\u001b[0m and task_type \n", + "\u001b[2;36m \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             View task using web UI at                                          \n",
+       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-\n",
+       "             40bc-9e28-ca4c65db8e72'.                                           \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at \n", + "\u001b[2;36m \u001b[0m\u001b]8;id=734769;https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-40bc-9e28-ca4c65db8e72\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=250938;https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-40bc-9e28-ca4c65db8e72\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=734769;https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-40bc-9e28-ca4c65db8e72\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=605385;https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-40bc-9e28-ca4c65db8e72\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=734769;https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-40bc-9e28-ca4c65db8e72\u001b\\\u001b[32m-d7687704-b36c-\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[2;36m \u001b[0m\u001b]8;id=734769;https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-40bc-9e28-ca4c65db8e72\u001b\\\u001b[32m40bc-9e28-ca4c65db8e72'\u001b[0m\u001b]8;;\u001b\\. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Task folder: 'TFLN-VPI'.                                           \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=29615;https://tidy3d.simulation.cloud/folders/folder-8992deaf-7bd2-4439-9603-4a345bb23569\u001b\\\u001b[32m'TFLN-VPI'\u001b[0m\u001b]8;;\u001b\\. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "815af4a01228439590069595ca765740", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
11:59:42 -03 Estimated FlexCredit cost: 0.004. Minimum cost depends on task     \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m11:59:42 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.004\u001b[0m. Minimum cost depends on task \n", + "\u001b[2;36m \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", + "\u001b[2;36m \u001b[0mFlexCredit cost after a simulation run. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
11:59:43 -03 status = success                                                   \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m11:59:43 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5fee7ed787b64750a5166f506963daec", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
11:59:54 -03 loading simulation from simulation_data.hdf5                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m11:59:54 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5 \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "mode_data_opt = web.run(mode_solver_opt,task_name = 'TFLN-opt_mode',folder_name = 'TFLN-VPI')" + "mode_data_opt = web.run(mode_solver_opt, task_name=\"TFLN-opt_mode\", folder_name=\"TFLN-VPI\")" ] }, { @@ -168,10 +333,141 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "11417a3d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
wavelengthn effk effTE (Ey) fractionwg TE fractionwg TM fractionmode area
fmode_index
1.934145e+1401.551.8514490.00.9997110.9883850.8695311.395676
11.551.8137470.00.9979920.9554860.8742271.537450
21.551.7628510.00.0048450.7752610.9877342.170106
31.551.7533010.00.9786580.9091640.8817801.840836
41.551.7223640.00.0302960.7853010.9515722.260011
\n", + "
" + ], + "text/plain": [ + " wavelength n eff k eff TE (Ey) fraction \\\n", + "f mode_index \n", + "1.934145e+14 0 1.55 1.851449 0.0 0.999711 \n", + " 1 1.55 1.813747 0.0 0.997992 \n", + " 2 1.55 1.762851 0.0 0.004845 \n", + " 3 1.55 1.753301 0.0 0.978658 \n", + " 4 1.55 1.722364 0.0 0.030296 \n", + "\n", + " wg TE fraction wg TM fraction mode area \n", + "f mode_index \n", + "1.934145e+14 0 0.988385 0.869531 1.395676 \n", + " 1 0.955486 0.874227 1.537450 \n", + " 2 0.775261 0.987734 2.170106 \n", + " 3 0.909164 0.881780 1.840836 \n", + " 4 0.785301 0.951572 2.260011 " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "mode_solver_opt.plot_field(\"E\", \"abs^2\", mode_index=0)\n", "mode_data_opt.to_dataframe()" @@ -189,7 +485,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "fd57cb3d", "metadata": {}, "outputs": [], @@ -199,55 +495,75 @@ "# RF mediums\n", "\n", "si_rf = td.Medium(permittivity=11.7)\n", - "sio2_rf = td.Medium(permittivity=3.9) \n", - "air_rf = td.Medium() \n", - "tfln_rf = td.AnisotropicMedium(xx = td.Medium(permittivity=44),\n", - " yy = td.Medium(permittivity=27.9),\n", - " zz = td.Medium(permittivity=44)) \n", - "metal = td.LossyMetalMedium(frequency_range=(100000000.0, 100000000000.0),\n", - " conductivity=41,\n", - " fit_param = td.SurfaceImpedanceFitterParam(max_num_poles = 16, ))\n", + "sio2_rf = td.Medium(permittivity=3.9)\n", + "air_rf = td.Medium()\n", + "tfln_rf = td.AnisotropicMedium(\n", + " xx=td.Medium(permittivity=44), yy=td.Medium(permittivity=27.9), zz=td.Medium(permittivity=44)\n", + ")\n", + "metal = td.LossyMetalMedium(\n", + " frequency_range=(100000000.0, 100000000000.0),\n", + " conductivity=41,\n", + " fit_param=td.SurfaceImpedanceFitterParam(\n", + " max_num_poles=16,\n", + " ),\n", + ")\n", "\n", "tfln_thickness = 0.2\n", "sio2_thickness = 7\n", "metal_thickness = 0.9\n", - "tfln_height = 4.7 + tfln_thickness/2 # Distance between the center of the TFLN from the Si substrate\n", + "tfln_height = (\n", + " 4.7 + tfln_thickness / 2\n", + ") # Distance between the center of the TFLN from the Si substrate\n", "\n", "cpw_thickness = 0.9\n", - "cpw_center = sio2_thickness/2 - cpw_thickness/2\n", + "cpw_center = sio2_thickness / 2 - cpw_thickness / 2\n", "cpw_width = 10\n", "cpw_gap = 4\n", "\n", - "cpw_left = td.Structure(geometry = td.Box.from_bounds(rmin = (-eff_inf,-eff_inf,cpw_center - cpw_thickness/2),\n", - " rmax = (eff_inf,-cpw_width/2-cpw_gap,cpw_center + cpw_thickness/2)),\n", - " medium = metal)\n", - "\n", - "cpw_right = td.Structure(geometry = td.Box.from_bounds(rmin = (-eff_inf,cpw_width/2+cpw_gap,cpw_center - cpw_thickness/2),\n", - " rmax = (eff_inf,eff_inf,cpw_center + cpw_thickness/2)),\n", - " medium = metal)\n", - "\n", - "cpw_center = td.Structure(geometry = td.Box.from_bounds(rmin = (-eff_inf,-cpw_width/2,cpw_center - cpw_thickness/2),\n", - " rmax = (eff_inf,cpw_width/2,cpw_center + cpw_thickness/2)),\n", - " medium = metal)\n", + "cpw_left = td.Structure(\n", + " geometry=td.Box.from_bounds(\n", + " rmin=(-eff_inf, -eff_inf, cpw_center - cpw_thickness / 2),\n", + " rmax=(eff_inf, -cpw_width / 2 - cpw_gap, cpw_center + cpw_thickness / 2),\n", + " ),\n", + " medium=metal,\n", + ")\n", "\n", + "cpw_right = td.Structure(\n", + " geometry=td.Box.from_bounds(\n", + " rmin=(-eff_inf, cpw_width / 2 + cpw_gap, cpw_center - cpw_thickness / 2),\n", + " rmax=(eff_inf, eff_inf, cpw_center + cpw_thickness / 2),\n", + " ),\n", + " medium=metal,\n", + ")\n", "\n", + "cpw_center = td.Structure(\n", + " geometry=td.Box.from_bounds(\n", + " rmin=(-eff_inf, -cpw_width / 2, cpw_center - cpw_thickness / 2),\n", + " rmax=(eff_inf, cpw_width / 2, cpw_center + cpw_thickness / 2),\n", + " ),\n", + " medium=metal,\n", + ")\n", "\n", - "sio2_slab = td.Structure(geometry = td.Box(center = (0,0,0),\n", - " size = (eff_inf, eff_inf, sio2_thickness)),\n", - " medium = sio2_rf)\n", - "tfln_slab = td.Structure(geometry = td.Box(center = (0,0,-sio2_thickness/2+tfln_height),\n", - " size = (eff_inf, eff_inf, tfln_thickness)),\n", - " medium = tfln_rf) \n", "\n", - "si_substrate = td.Structure(geometry = td.Box.from_bounds(rmin = (-eff_inf,-eff_inf,-eff_inf),\n", - " rmax = (eff_inf,eff_inf,-3.5)),\n", - " medium = si_rf)\n", + "sio2_slab = td.Structure(\n", + " geometry=td.Box(center=(0, 0, 0), size=(eff_inf, eff_inf, sio2_thickness)), medium=sio2_rf\n", + ")\n", + "tfln_slab = td.Structure(\n", + " geometry=td.Box(\n", + " center=(0, 0, -sio2_thickness / 2 + tfln_height), size=(eff_inf, eff_inf, tfln_thickness)\n", + " ),\n", + " medium=tfln_rf,\n", + ")\n", "\n", - "air_gap = td.Structure(geometry = td.Box.from_bounds(rmin = (-eff_inf,-eff_inf,3.5),\n", - " rmax = (eff_inf,eff_inf,eff_inf)),\n", - " medium = air_rf)\n", + "si_substrate = td.Structure(\n", + " geometry=td.Box.from_bounds(rmin=(-eff_inf, -eff_inf, -eff_inf), rmax=(eff_inf, eff_inf, -3.5)),\n", + " medium=si_rf,\n", + ")\n", "\n", - "\n" + "air_gap = td.Structure(\n", + " geometry=td.Box.from_bounds(rmin=(-eff_inf, -eff_inf, 3.5), rmax=(eff_inf, eff_inf, eff_inf)),\n", + " medium=air_rf,\n", + ")" ] }, { @@ -260,7 +576,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "101d737f", "metadata": {}, "outputs": [], @@ -271,7 +587,7 @@ "\n", "# Define Layer refinement spec\n", "lr_spec = td.LayerRefinementSpec.from_structures(\n", - " structures=[cpw_center,cpw_left,cpw_right],\n", + " structures=[cpw_center, cpw_left, cpw_right],\n", " min_steps_along_axis=5,\n", " corner_refinement=td.GridRefinement(dl=cpw_thickness / 10, num_cells=5),\n", " refinement_inside_sim_only=False,\n", @@ -284,12 +600,14 @@ " layer_refinement_specs=[lr_spec],\n", ")\n", "\n", - "sim_rf_size = (25,138,150)\n", + "sim_rf_size = (25, 138, 150)\n", "\n", - "sim_rf = td.Simulation(size = sim_rf_size,\n", - " structures = [sio2_slab, tfln_slab, si_substrate, air_gap, cpw_left, cpw_right, cpw_center],\n", - " grid_spec =grid_spec,\n", - " run_time = 1e-12)" + "sim_rf = td.Simulation(\n", + " size=sim_rf_size,\n", + " structures=[sio2_slab, tfln_slab, si_substrate, air_gap, cpw_left, cpw_right, cpw_center],\n", + " grid_spec=grid_spec,\n", + " run_time=1e-12,\n", + ")" ] }, { @@ -302,15 +620,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "17b2eab6", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "ax = sim_rf.plot(x = 0)\n", - "sim_rf.plot_grid(x = 0, ax = ax)\n", - "ax.set_xlim(-10,10)\n", - "ax.set_ylim(-10,10)\n", + "ax = sim_rf.plot(x=0)\n", + "sim_rf.plot_grid(x=0, ax=ax)\n", + "ax.set_xlim(-10, 10)\n", + "ax.set_ylim(-10, 10)\n", "\n", "plt.show()" ] @@ -325,18 +654,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "1318f55c", "metadata": {}, "outputs": [], "source": [ "# Define current integration path (loop)\n", - "I_int = mw.CurrentIntegralAxisAligned(center=cpw_center.geometry.center, \n", - " size=(0,cpw_width+cpw_gap, 5 * cpw_thickness, \n", - " ), sign=\"+\")\n", + "I_int = mw.CurrentIntegralAxisAligned(\n", + " center=cpw_center.geometry.center,\n", + " size=(\n", + " 0,\n", + " cpw_width + cpw_gap,\n", + " 5 * cpw_thickness,\n", + " ),\n", + " sign=\"+\",\n", + ")\n", "# Define voltage integration path (line)\n", "V_int = mw.VoltageIntegralAxisAligned(\n", - " center=(0,cpw_width/2 + cpw_gap/2, cpw_center.geometry.center[2]),\n", + " center=(0, cpw_width / 2 + cpw_gap / 2, cpw_center.geometry.center[2]),\n", " size=(0, cpw_gap, 0),\n", " sign=\"-\",\n", ")\n", @@ -350,17 +685,7 @@ " name=\"WP1\",\n", " current_integral=I_int,\n", " voltage_integral=V_int,\n", - ")\n", - "\n", - "# Plot V and I integration paths\n", - "fig, ax = plt.subplots(figsize=(10, 3))\n", - "# mode_solver.plot_field(field_name=\"Ex\", val=\"real\", f=rf_freqs[0], ax=ax)\n", - "mode_solver_rf.plot(ax=ax)\n", - "I_int.plot(x=0, ax=ax)\n", - "V_int.plot(x=0, ax=ax)\n", - "ax.set_xlim(-20,20)\n", - "ax.set_ylim(-10, 10)\n", - "plt.show()" + ")" ] }, { @@ -373,7 +698,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "4d8cf718", "metadata": {}, "outputs": [], @@ -384,10 +709,177 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, + "id": "d0011c9e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot V and I integration paths\n", + "fig, ax = plt.subplots(figsize=(10, 3))\n", + "mode_solver_rf.plot(ax=ax)\n", + "I_int.plot(x=0, ax=ax)\n", + "V_int.plot(x=0, ax=ax)\n", + "ax.set_xlim(-20, 20)\n", + "ax.set_ylim(-10, 10)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, "id": "7fb8daeb", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
11:59:56 -03 Created task 'CPW mode solver' with resource_id                    \n",
+       "             'mo-2291d686-25b0-4507-bbf9-ee62b720fbba' and task_type            \n",
+       "             'MODE_SOLVER'.                                                     \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m11:59:56 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'CPW mode solver'\u001b[0m with resource_id \n", + "\u001b[2;36m \u001b[0m\u001b[32m'mo-2291d686-25b0-4507-bbf9-ee62b720fbba'\u001b[0m and task_type \n", + "\u001b[2;36m \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             View task using web UI at                                          \n",
+       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-\n",
+       "             4507-bbf9-ee62b720fbba'.                                           \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at \n", + "\u001b[2;36m \u001b[0m\u001b]8;id=108546;https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-4507-bbf9-ee62b720fbba\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=544536;https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-4507-bbf9-ee62b720fbba\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=108546;https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-4507-bbf9-ee62b720fbba\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=952698;https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-4507-bbf9-ee62b720fbba\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=108546;https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-4507-bbf9-ee62b720fbba\u001b\\\u001b[32m-2291d686-25b0-\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[2;36m \u001b[0m\u001b]8;id=108546;https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-4507-bbf9-ee62b720fbba\u001b\\\u001b[32m4507-bbf9-ee62b720fbba'\u001b[0m\u001b]8;;\u001b\\. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Task folder: 'default'.                                            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=893179;https://tidy3d.simulation.cloud/folders/folder-f9e994c1-6315-4b44-af3a-c2cb1435b23a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9923e0298dd3408488c7f99d2f39cb32", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
11:59:58 -03 Estimated FlexCredit cost: 0.006. Minimum cost depends on task     \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m11:59:58 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.006\u001b[0m. Minimum cost depends on task \n", + "\u001b[2;36m \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", + "\u001b[2;36m \u001b[0mFlexCredit cost after a simulation run. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
12:00:00 -03 status = success                                                   \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m12:00:00 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "080e5da181ab4808ac66490ee4d5c797", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
12:00:13 -03 loading simulation from data/WP1_mode_data.hdf5                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m12:00:13 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/WP1_mode_data.hdf5 \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "mode_data_rf = web.run(mode_solver_rf, task_name=\"CPW mode solver\", path=\"data/WP1_mode_data.hdf5\")" ] @@ -402,10 +894,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "299e42fb", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Calculate Z0\n", "Z0_mode = np.conjugate(\n", @@ -418,8 +921,8 @@ "fig, ax = plt.subplots(1, 2, figsize=(9, 3), tight_layout=True)\n", "\n", "mode_solver_rf.plot_field(\"Ey\", \"real\", f=rf_freqs[0].item(), robust=False, ax=ax[0])\n", - "ax[0].set_xlim(-20,20)\n", - "ax[0].set_ylim(-20,20)\n", + "ax[0].set_xlim(-20, 20)\n", + "ax[0].set_ylim(-20, 20)\n", "\n", "ax[1].plot(Z0_mode.f * 1e-9, Z0_mode.real)\n", "_ = ax[1].set(xlabel=\"Frequencies (GHz)\", ylabel=\"Re{Z₀} (Ω)\")" @@ -437,97 +940,279 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "0b823b69", "metadata": {}, "outputs": [], "source": [ "delta_z = tfln_slab.geometry.center[2] - ridge.geometry.center[2]\n", "\n", - "waveguide_r = [ridge.updated_copy(geometry = ridge.geometry.translated(x=0,y=cpw_width/2 + cpw_gap/2,z=delta_z),\n", - " name = 'ridge_r',\n", - " medium = tfln_rf), \n", - " core.updated_copy(geometry = core.geometry.translated(x=0,y=-cpw_width/2 - cpw_gap/2,z=delta_z),\n", - " name = 'core_r',\n", - " medium = tfln_rf)]\n", - "\n", - "waveguide_l = [ridge.updated_copy(geometry = ridge.geometry.translated(x=0,y=-cpw_width/2 - cpw_gap/2,z=delta_z),\n", - " name = 'ridge_l',\n", - " medium = tfln_rf), \n", - " core.updated_copy(geometry = core.geometry.translated(x=0,y=cpw_width/2 + cpw_gap/2,z=delta_z),\n", - " name = 'core_l',\n", - " medium = tfln_rf)]\n", - "\n", - "override_region = td.MeshOverrideStructure(geometry = td.Box(size = (eff_inf,\n", - " eff_inf,\n", - " slab_thickness + core_thickness),\n", - " center = (0,0,tfln_slab.geometry.center[2]+tfln_thickness/2)),\n", - " dl = (None,None,0.01))\n", - "\n", - "gap_center = cpw_center.geometry.center[1] + cpw_width/2 + cpw_gap/2\n", - "\n", - "override_region_gap_l = td.MeshOverrideStructure(geometry = td.Box(size = (eff_inf,\n", - " cpw_gap,\n", - " eff_inf),\n", - " center = (0,gap_center,0)),\n", - " dl = (None,0.01,None))\n", - "\n", - "override_region_gap_r = td.MeshOverrideStructure(geometry = td.Box(size = (eff_inf,\n", - " cpw_gap,\n", - " eff_inf),\n", - " center = (0,-gap_center,0)),\n", - " dl = (None,0.01,None)) \n", - "\n", - "\n", - "grid_spec_vpi = grid_spec.updated_copy(override_structures = [override_region,\n", - " override_region_gap_l,\n", - " override_region_gap_r])\n", - "sim_vpi = sim_rf.updated_copy(structures = [sio2_slab, \n", - " si_substrate, air_gap, cpw_left, cpw_right, cpw_center]\\\n", - " + waveguide_r + waveguide_l,\n", - " grid_spec = grid_spec_vpi)\n", + "waveguide_r = [\n", + " ridge.updated_copy(\n", + " geometry=ridge.geometry.translated(x=0, y=cpw_width / 2 + cpw_gap / 2, z=delta_z),\n", + " name=\"ridge_r\",\n", + " medium=tfln_rf,\n", + " ),\n", + " core.updated_copy(\n", + " geometry=core.geometry.translated(x=0, y=-cpw_width / 2 - cpw_gap / 2, z=delta_z),\n", + " name=\"core_r\",\n", + " medium=tfln_rf,\n", + " ),\n", + "]\n", + "\n", + "waveguide_l = [\n", + " ridge.updated_copy(\n", + " geometry=ridge.geometry.translated(x=0, y=-cpw_width / 2 - cpw_gap / 2, z=delta_z),\n", + " name=\"ridge_l\",\n", + " medium=tfln_rf,\n", + " ),\n", + " core.updated_copy(\n", + " geometry=core.geometry.translated(x=0, y=cpw_width / 2 + cpw_gap / 2, z=delta_z),\n", + " name=\"core_l\",\n", + " medium=tfln_rf,\n", + " ),\n", + "]\n", + "\n", + "override_region = td.MeshOverrideStructure(\n", + " geometry=td.Box(\n", + " size=(eff_inf, eff_inf, slab_thickness + core_thickness),\n", + " center=(0, 0, tfln_slab.geometry.center[2] + tfln_thickness / 2),\n", + " ),\n", + " dl=(None, None, 0.01),\n", + ")\n", "\n", - "\n" + "gap_center = cpw_center.geometry.center[1] + cpw_width / 2 + cpw_gap / 2\n", + "\n", + "override_region_gap_l = td.MeshOverrideStructure(\n", + " geometry=td.Box(size=(eff_inf, cpw_gap, eff_inf), center=(0, gap_center, 0)),\n", + " dl=(None, 0.01, None),\n", + ")\n", + "\n", + "override_region_gap_r = td.MeshOverrideStructure(\n", + " geometry=td.Box(size=(eff_inf, cpw_gap, eff_inf), center=(0, -gap_center, 0)),\n", + " dl=(None, 0.01, None),\n", + ")\n", + "\n", + "\n", + "grid_spec_vpi = grid_spec.updated_copy(\n", + " override_structures=[override_region, override_region_gap_l, override_region_gap_r]\n", + ")\n", + "sim_vpi = sim_rf.updated_copy(\n", + " structures=[sio2_slab, si_substrate, air_gap, cpw_left, cpw_right, cpw_center]\n", + " + waveguide_r\n", + " + waveguide_l,\n", + " grid_spec=grid_spec_vpi,\n", + ")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "de0b6b55", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(4.0, 10.0)" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnYAAAG3CAYAAAA5CBh1AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjcsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvTLEjVAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAyAJJREFUeJzs3XmcFMXd+PFP9/Rce7LswXKDiKggh4gIHkRFMBiFJJJoJGhi9IlBI8lPTTBIFDWoidEoT0RNjFFDNPokoEYRL/AAUREUPBCVG3aXXfaeo6en+/fHsMMuezBLF+ywft+v175ouqtqqrZ7u2u6ur+lOY7jIIQQQgghjnh6R1dACCGEEEKoIR07IYQQQohOQjp2QgghhBCdhHTshBBCCCE6CenYCSGEEEJ0EtKxE0IIIYToJKRjJ4QQQgjRSUjHTgghhBCik5COnRBCCCFEJyEdOyHEEWHZsmVomsayZcs6uiriEHj33Xfx+Xxs2bLlsH92RUUFmZmZvPDCC4f9s4VQTTp2Qoi08uc//5lHH320o6txUBYuXMi9997b0dVo4q9//SvHHXccgUCAgQMHcv/996ecNxqN8qtf/YoePXoQDAYZPXo0L7/8cotpV6xYwWmnnUZGRgbFxcX8/Oc/p66uLuXP+s1vfsPFF19M3759U86jSn5+Pj/5yU+46aabDvtnC6GcI4QQaWTw4MHOuHHjmq2Px+NOOBx24vH44a9Uis477zynb9++HV2NpAULFjiA893vftd56KGHnB/+8IcO4Nxxxx0p5b/oooscwzCc6667znnwwQedMWPGOIZhOG+++WaTdGvWrHECgYAzYsQI54EHHnB+85vfOH6/3zn33HNT+pw1a9Y4gLNixYp2t1GVTz75xAGcV199tcPqIIQKmuM4Tsd2LYUQ+6uvryczM7Ojq9EhhgwZQkFBwRE55Pqtb32L9evXs3nz5o6uCuFwmN69e3PKKafw/PPPJ9dPmzaNRYsWsW3bNvLy8lrN/+677zJ69Gh+//vfc9111wEQiUQYMmQIRUVFrFixIpl20qRJrF27ls8++4ycnBwA/vKXv3DFFVfw0ksvMWHChDbreu2117Jo0SI2b96Mpmlumu3KCSecwIgRI3jsscc6rA5CuCVDsUIcYjt27ODyyy+nR48e+P1++vfvz1VXXYVpmgA8+uijaJrG8uXL+dnPfkZRURG9evVK5v/zn//M4MGD8fv99OjRgxkzZlBVVdXkMzZu3Mh3v/tdiouLCQQC9OrVi4suuojq6upkmpdffpnTTjuNLl26kJWVxaBBg7jxxhsPWP9U8kWjUX77299y9NFH4/f76d27NzfccAPRaLRZeU888QQnn3wyGRkZ5OXlccYZZ7B06VIA+vXrx8cff8zy5cvRNA1N0/jGN74BtP6M3dNPP83IkSMJBoMUFBQwbdo0duzY0STNZZddRlZWFjt27GDKlClkZWVRWFjIddddRzweP+DvYPHixZx33nnJfThgwABuvfXWJnm/8Y1v8N///pctW7Yk696vX79Wy/zb3/6Gpmk88sgjTdb/7ne/Q9M01897vf7661RUVPCzn/2syfoZM2ZQX1/Pf//73zbzP/PMM3g8Hq688srkukAgwOWXX87KlSvZtm0bADU1Nbz88stMmzYt2akDmD59OllZWfzrX/86YF0XLVrEWWed1axTp2kaN998c7P0/fr147LLLkv+v+Fv6K233uLnP/85hYWFdOnShf/5n//BNE2qqqqYPn06eXl55OXlccMNN9DSPY1zzjmH5557rsVtQhwpjI6ugBCd2c6dOzn55JOpqqriyiuv5Nhjj2XHjh0888wzhEIhfD5fMu3PfvYzCgsLmTNnDvX19QDcfPPN3HLLLYwfP56rrrqKDRs28MADD/Dee+/x9ttv4/V6MU2TiRMnEo1GueaaayguLmbHjh08//zzVFVVkZuby8cff8y3vvUthg4dyty5c/H7/XzxxRe8/fbbbdY/lXy2bXPBBRfw1ltvceWVV3Lcccexbt067rnnHj7//HMWLVqUTHvLLbdw8803M3bsWObOnYvP52PVqlW89tprTJgwgXvvvZdrrrmGrKwsfvOb3wDQrVu3Vuv36KOP8qMf/YhRo0Yxb948SktL+dOf/sTbb7/NmjVr6NKlSzJtPB5n4sSJjB49mj/84Q+88sor3H333QwYMICrrrqqzd/Do48+SlZWFr/85S/JysritddeY86cOdTU1PD73/8eSDwjVl1dzfbt27nnnnsAyMrKarXMH/3oR/z73//ml7/8Jeeccw69e/dm3bp13HLLLVx++eVMmjQpmbaysjKlDmhGRgYZGRkArFmzBoCTTjqpSZqRI0ei6zpr1qxh2rRprZa1Zs0ajjnmmCadNYCTTz4ZgLVr1ybrbFlWs8/x+XwMHz48WY/W7Nixg61bt3LiiScesH0H0nD833LLLbzzzjs89NBDdOnShRUrVtCnTx9+97vf8cILL/D73/+eIUOGMH369Cb5R44cyT333MPHH3/MkCFDXNdHiA7RsSPBQnRu06dPd3Rdd957771m22zbdhzHcf72t785gHPaaac5lmUlt5eVlTk+n8+ZMGFCk+fK5s+f7wDOI4884jjOvueTnn766Vbrcc899ziAs3v37nbVP5V8jz/+uKPrerPnrhqe73r77bcdx3GcjRs3OrquO9/+9rebPSfX8LtwnNafsXv99dcdwHn99dcdx3Ec0zSdoqIiZ8iQIU44HE6me/755x3AmTNnTnLdpZde6gDO3Llzm5Q5YsQIZ+TIkW3/EhzHCYVCzdb9z//8j5ORkeFEIpHkuvY+Y7dr1y6na9euzjnnnONEo1FnxIgRTp8+fZzq6uom6fr27esAB/z57W9/m8wzY8YMx+PxtPi5hYWFzkUXXdRm3QYPHuycddZZzdZ//PHHDuAsWLDAcRzHefrppx3AeeONN5qlnTp1qlNcXNzm57zyyisO4Dz33HPNtu3fpgZ9+/Z1Lr300uT/G/6GJk6c2ORYGjNmjKNpmvPTn/40uc6yLKdXr14tHmMrVqxwAOepp55qs85CpDMZihXiELFtm0WLFnH++ec3u5sBNBt2uuKKK/B4PMn/v/LKK5imycyZM9F1vUm6nJyc5FBabm4uAC+99BKhUKjFujTcuVq8eDG2bafchlTyPf300xx33HEce+yxlJeXJ3/OOussIDEkCInhNtu2mTNnTpP2QPPfRSref/99ysrK+NnPfkYgEEiuP++88zj22GNbHGr86U9/2uT/p59+Ol999dUBPysYDCaXa2trKS8v5/TTTycUCvHZZ5+1u+4NiouL+d///V9efvllTj/9dNauXcsjjzzS7C7ZP/7xD15++eUD/jS+AxUOh5vcEW4sEAgQDofbrFs4HMbv97eYt2F7439bS3ugz6moqABo83m/VF1++eVNjqXRo0fjOA6XX355cp3H4+Gkk05qcb831KG8vNx1XYToKDIUK8Qhsnv3bmpqalIe0unfv3+T/zfE8xo0aFCT9T6fj6OOOiq5vX///vzyl7/kj3/8I//4xz84/fTTueCCC5g2bVqy0/f973+fv/zlL/zkJz/h17/+NWeffTbf+c53uPDCC5t1shpLJd/GjRv59NNPKSwsbLGMsrIyAL788kt0Xef4449P6fdxIK39fgCOPfZY3nrrrSbrAoFAszrm5eVRWVl5wM/6+OOPmT17Nq+99ho1NTVNtjV+jvFgXHTRRTzxxBP897//5corr+Tss89ulubUU09td7nBYDD5HOf+IpFIk85qa/lbekYyEokktzf+t7W0B/qcBo6C59r69OnT5P8Nx3/v3r2brW9pvzfUoSNf4BDCLenYCZEmUr0AtuTuu+/msssuY/HixSxdupSf//znzJs3j3feeYdevXoRDAZ54403eP311/nvf//LkiVLeOqppzjrrLNYunRpkzuF+9fpQPls2+aEE07gj3/8Y4tl7H9R7SittfFAqqqqGDduHDk5OcydO5cBAwYQCAT44IMP+NWvftWuO6Atqaio4P333wfgk08+wbbtZp3t3bt3p/SMXVZWVvK5vu7duxOPxykrK6OoqCiZxjRNKioq6NGjR5tlde/evdlLKAC7du0CSObv3r17k/X7pz3Q5+Tn5wOk1MFu0FonsLV93NL6lspoqENBQUHKdREi3chQrBCHSGFhITk5Oaxfv/6g8jcEat2wYUOT9aZpsmnTpmaBXE844QRmz57NG2+8wZtvvsmOHTtYsGBBcruu65x99tn88Y9/5JNPPuH222/ntddeSw6VtuZA+QYMGMCePXs4++yzGT9+fLOfhjtqAwYMwLZtPvnkkzY/L9W7Ja39fhrWqQp0u2zZMioqKnj00Ue59tpr+da3vsX48eNbHDo8mDs9M2bMoLa2lnnz5vHWW2+1GOB41KhRdO/e/YA/f/jDH5J5hg8fDpDsNDZ4//33sW07ub01w4cP5/PPP292h3LVqlVNyh8yZAiGYTT7HNM0Wbt27QE/59hjjwVg06ZNLW6vra1ttq7hLrBqDXU47rjjDkn5QhwO0rET4hDRdZ0pU6bw3HPPNbvowYGHnsaPH4/P5+O+++5rkvavf/0r1dXVnHfeeUAi3IRlWU3ynnDCCei6nhwe27NnT7PyGy64LQ2hNUgl3/e+9z127NjBww8/3CxtOBxOvuE7ZcoUdF1n7ty5ze5yNW5fZmZms3AuLTnppJMoKipiwYIFTdrw4osv8umnnyZ/P2413O1pXEfTNPnzn//cLG1mZma7hmafeeYZnnrqKe644w5+/etfc9FFFzF79mw+//zzJukO5hm7s846i65du/LAAw80KeuBBx4gIyOjye+nvLyczz77rMkzmhdeeCHxeJyHHnoouS4ajfK3v/2N0aNHJ+/E5ubmMn78eJ544okmnbDHH3+curo6pk6d2ubvoGfPnvTu3bvFvxGgWXibF198kUgkckhCkqxevZrc3FwGDx6svGwhDpuOemtDiK+D7du3O8XFxU5GRoYzc+ZM58EHH3RuvvlmZ/DgwU5lZaXjOPve6Gvpzdnf/va3DuBMmDDBmT9/vnPNNdc4Ho/HGTVqlGOapuM4jvOf//zH6dmzpzNz5kznz3/+s3Pfffc5o0aNcrxer7Ny5UrHcRzn2muvdUaMGOHMnj3befjhh53bb7/d6dmzp9OrVy+nqqqq1fqnki8ejzuTJk1yNE1zLrroIuf+++937r33XuenP/2p07Vr1ybtuummmxzAGTt2rPOHP/zBuf/++53p06c7v/71r5Npfvaznzmapjm33nqr889//jM5E8D+b8U2/t2NHj3auffee51Zs2Y5GRkZTr9+/ZK/X8dJvBWbmZnZ6u+3LeXl5U5eXp7Tt29f5+6773b++Mc/OiNGjHCGDRvWrD533XWXAzi/+MUvnIULFzrPPvtsq+WWlpY6BQUFzplnnpl8k7O8vNzp1q2bM2bMGCUzbPzv//6vAzgXXnih8/DDDzvTp093AOf2229vkq7h99C4LY6TeKvVMAzn+uuvdx588EFn7NixjmEYzvLly5ukW716teP3+5vMPBEIBJwJEyakVM+rr77a6dmzZ5M3Wh0n8VZsMBh0vvnNbzoPPPCAc9NNNzk5OTlObm6uc/TRRzsLFy50HKf1v6GGdu3/Vndrx8OQIUOcadOmpVRnIdKVdOyEOMS2bNniTJ8+3SksLHT8fr9z1FFHOTNmzHCi0ajjOG137BwnEd7k2GOPdbxer9OtWzfnqquuatJp+eqrr5wf//jHzoABA5xAIOB07drVOfPMM51XXnklmebVV191Jk+e7PTo0cPx+XxOjx49nIsvvtj5/PPP26x7qvlM03TuvPNOZ/DgwY7f73fy8vKckSNHOrfcckuz0B2PPPKIM2LEiGS6cePGOS+//HJye0lJiXPeeec52dnZDpAMS9FSx85xHOepp55Klte1a1fnkksucbZv394kjZuOneM4zttvv+2ccsopTjAYdHr06OHccMMNzksvvdSsPnV1dc4PfvADp0uXLg7QZuiT73znO052drazefPmJusXL17sAM6dd955wHql4qGHHnIGDRrk+Hw+Z8CAAc4999zTrAPVWscuHA471113nVNcXOz4/X5n1KhRzpIlS1r8nDfffNMZO3asEwgEnMLCQmfGjBlOTU1NSnX84IMPHKBZyBzA+eUvf+lMnTrVCQaDTvfu3Z358+c7CxYscDIyMpyf/OQnjuOo6dh9+umnDtDk70aII5FMKSaEEKLDnX322fTo0YPHH388uU7TNH7729+2OPuEajNnzuSNN95g9erV8lasOKLJM3ZCCCE63O9+9zueeuqpZBibw6miooK//OUv3HbbbdKpE0c8CXcihBCiw40ePbrVuHuHWn5+PnV1dR3y2UKoJnfshBBCCCE6iQ7t2N18881omtbkpyGmUWuefvppjj32WAKBACeccAIvvPBCk+2O4zBnzhy6d+9OMBhk/PjxbNy48VA2QwghxCHgOM5heb5OiM6kw+/YDR48mF27diV/9p8GqLEVK1Zw8cUXc/nll7NmzRqmTJnClClTmgSAveuuu7jvvvtYsGABq1atIjMzk4kTJyanwRFCCCGE6Kw69K3Ym2++mUWLFrF27dqU0n//+9+nvr6e559/PrnulFNOYfjw4SxYsADHcejRowf/7//9P6677jogMY9jt27dePTRR7nooosORTOEEEIIIdJCh788sXHjRnr06EEgEGDMmDHMmzev2UTODVauXMkvf/nLJusmTpzIokWLgMR0MCUlJYwfPz65PTc3l9GjR7Ny5cpWO3bRaLRJ5HrbttmzZw/5+fnyhpQQQggh2sVxHGpra+nRo0ezuZ8PtQ7t2I0ePZpHH32UQYMGsWvXLm655RZOP/101q9fT3Z2drP0JSUldOvWrcm6bt26UVJSktzesK61NC2ZN28et9xyi9vmdGo55HATN3Ert1JDzYEzCCGEUEbOwUembdu20atXr8P6mR3asfvmN7+ZXB46dCijR4+mb9++/Otf/+Lyyy8/bPWYNWtWkzuB1dXV9OnTh23btpGTk6P887788ksgMSn64SojlfRtpWnYduWAK1tN23jd/svbtm1Lzi357rvvAtC9e/dmn7Nr1652b4uVx9h0+SYy52XS8/ieSso80Da32yXv4cmbrvU6EvOma706W94DbbuLu5SUGQqF+PGPf8wjjzxCRkZG8vzc2P7n8gYtrft4xce8/c23+cEnPyCrZ1abafd3KK5nh7OcltTU1NC7d+8Wb1Idah0+FNtYly5dOOaYY/jiiy9a3F5cXExpaWmTdaWlpRQXFye3N6xrfACXlpYmJy5vid/vx+/3N1ufk5NzSDp2DTvaTdntLSOV9G2lyfRnUvJGCRmDMzB8RotpG6/bfzkzMzO5zu/3s3PnTvr375+cYL1BMBhMfF5mZrM6tLbN9trk/DwHX5GvXfncbHO7XfIenrzpWq8jMW+61quz5W31PGfaaJ9o+IapOc8FAgHuv/9+unbtisfjabEDsv+5vEFL6/L75HPyAydTNKAIw2e0mXZ/h+J6djjLaUtHPM7V4W/FNlZXV8eXX37Z6jegMWPG8OqrrzZZ9/LLLzNmzBgA+vfvT3FxcZM0NTU1rFq1KplGHJxIRYR3r3qXcFnYdVnRaJRbb71V2ZvKuk8nMDKAbqTV4SyEEMpY1RY199Vg19hKyvN4PPTr16/Zl+uDpft0eozv0aRTJzpGh14Jr7vuOpYvX87mzZtZsWIF3/72t/F4PFx88cUATJ8+nVmzZiXTX3vttSxZsoS7776bzz77jJtvvpn333+fq6++Gkj0jGfOnMltt93Gs88+y7p165g+fTo9evRgypQpHdHETiOjewZTNk4hu5f728rBYJAHH3yw1W+67WXuNim7tAxrj6WkPCGESDe+Qh9Ffy/C6Kqm41RfX8/48eOpr69XUl5oV4hFAxdRu71WSXni4HVo13r79u1cfPHFVFRUUFhYyGmnncY777xDYWEhAFu3bm3yNsnYsWNZuHAhs2fP5sYbb2TgwIEsWrSIIUOGJNPccMMN1NfXc+WVV1JVVcVpp53GkiVLCAQCh719nYkVsdi+eDv9/l8/jIC7wyYej7Np0yaKi4uVfFs08gy6/LYLeo7csRNCdE62aRNeFsY/tvljQwcjGAzyz3/+MzlM61agMMC4Z8aRWazmC7s4eB3asXvyySfb3L5s2bJm66ZOncrUqVNbzaNpGnPnzmXu3LluqycaiVXHWDtnLaf86BSyemQdOEMbTNNk/vz5jBo1ioyMDPeV00HvoqfZgwVCCKGOVWNR+2gt3mFeJeVpmkZGRoa6Z8B08Bf55TycBmQXiJQEuwWZsmGK604dJL4p3nvvvWo6dYBVYbHnF3uwq9Q8eyKEEOnGV+Cj6NEijDw192NCoRCTJ08mFAopKS9SGmHpGUup36lmaFccPOnYiZRYEYsND2zAirh/ji0ej7Nu3Tri8biCmoGRb9D1nq6Ju3ZCCNEJ2aZN3bN12KaaL7AZGRksXrxY2RfsQLcAE96YQGYPGYrtaHIlFCmxai02zN9ApMr9m6yxWIyFCxdimqaCmgE2ibt1csNOCNFJWXUWocUhnJCaWUAdxyEUCqFsVlEbomVROQ+nAenYiZQECgNc8PEFZBW7H4o1Qga/2PkLPHVqXrO3Ki2qbqlSFgZACCHSja+rj6K/FuHpoua8WbOthosvvpiabWpmsYjsjrD8wuXUl8hQbEeTjp1IiRWyWPe7dZgh93fZrLjFh3yIZakJT6I6DIAQQqQbO2JTu7AWO6JuKPb3/F7ZUKzKkFjCHenYiZRYIYvNT20mVhdzXVbcivMGbyjr2NmmTWR1BNuSO3ZCiM4pHo4TXhYGRU+wxO04JZQQt9U862ybNjtf2YllSjzRjiYdO5GSQEGA8z88n8wi9w/G+v1+ruEaZbEFVUdkF0KIdOPN81L0UJGyeJ3RSJT5zCcaiSopT+XsRMId6diJlFh1FquvX41Zp2Ao1rJYxSpilvu7fyBDsUKIzs8KWVQ/VK10KPY2bpOh2E5IOnYiJVbEonRZKbGQgqHYeJyP+Ii4pW4IILwsrCwMgBBCpBsn6mB+aKobio3H2cxmZWGnrEjicR0VIbGEO9KxEykJFASY9N4kZUOxV3CFuqHYvRHZ7Xrp2AkhOidvnpfC/y1UNxRrRnmCJ4iaaoZiG2YniuxxHxJLuCMdO5ESs9bknZ++Q6RGQRw7K8ZylhOLKRqKVRyRXQgh0o1Vb1F1bxV2SNFQbDCD2cwmI6hmKFbl7ETCHenYiZQ4MYeq9VVKhjtt22YrW5W+jaUyIrsQQqSdGFibLVA00hmPx9nABqVDsapmJxLuyC2ONnz55ZdkZ6t/EHTLli2HvYxU0reVpqS2hOP+cRw7q3ZCVctpG6/bf3nHjh3J/9dV1/FDfkhlZSW1Wm2TMkpLS1utQ2vb4lVx6hfVU39cPbqv+XeVgynzQNvcbpe8hydvutbrSMybrvXqbHnb2hafFWd3eDf6DvfnubpddTzHc4zYPoKseOt32Q50rm+w6dNNfHb/Z/S9sC+BwkCbaVMpT2X6Q11OS2praw+c6BCRO3YiJVa9xee//ByzVs1bsUtZquytWE8XD8wDcpQUJ4QQaccO2fAAoOgRtoA/wHVcR8Cv5llnX1cfw18c3qRTJzqG3LFrw4ABA8jJOXS9haOPPvqwl5FK+pbSmFUmm2o30b9vf4Jdg22mbbyu8XLfvn0B+LL/l4SOD9Hz6J4Es4PN8gP07Nmz1frtv60hInvmdzLblU/FNrfbJe/hyZuu9ToS86ZrvTpb3v23WTUWleFK8vLzlJRp5pl8/L2PGTxgML4MX/L83Fhr5/KW1lkhi0/v/ZQ+8/vgy/C1mbY1h+J6djjLaaymRs1UbQdD7tiJlPi6+Bi/dHyTTt3BCmQEuPJXV7baqWsv1RHZhRAi3Rg5Bvl35qNnqblsx7U4L657kbim6Bk7hbMTCXekYydSYtaYvD7ldSJV7scBTNNk4cKFmKaanpjqiOxCCJFurDqLijkVysI6BYNB7r//foJBNV+wVc5OJNyRK6E44qmOyC6EEJ1dLBbjhRdeUBZ2SuXsRMId6diJlPhyfJy56EwCXdw/GOvz+fjBD36Az9f8OYyDoToiuxBCpBsjyyB/bj56pprLtmVZLF++HMtSE55E5exEwh3p2ImUmFUmr0x4hfAe9xM8m6bJX//6V6JRNRHPVUdkF0KIdGPVWFT8qgK7Tt1Q7J133ql0KFbV7ETCHbkSitR4wF/oRzM010VpmkbXrl3RNPdlgfqI7EIIkXY8oOVqyq7apmnyzDPPKHvWWeXsRMId6diJlPiyfZz+j9MJ5LgfivV6vXz7299WNhSrOiK7EEKkGyPToOuNXdEz1Fy2bdvmk08+wbbVfCFWOTuRcEc6diIl0T1Rlpy2hFB5yH1Z0Sjz588nElHzzc7oYlBwb4EMxQohOi2ryqJ8Zjl2jZqOUyAQYM6cOQQCagIK+7v6Ofetc8koUDP3rDh4ciUUKdG8Gl2GdGlxyq720nWdo48+Gl1X9BBwvcWe3+2RoVghROflBaOfoWxaAdM0+fvf/650KPbNS96Uodg0IDNPiJT4sn2csuAUZUOx5557rrqh2Dg41Q5Iv04I0UkZmQZdZnZRVp7jOJSXl+M4jpoC4xDdHcWxFJUnDprcsRMpiZRHeGHUC9SX1bsuK7w7zO0/vp3aXWomSVYdkV0IIdJNrDLG7hm7lQ3F6iGdc94+Bz2k5rypcnYi4Y5cCUVKjIBBt290w5vhdV2W5mgMjQ9FV3T4qY7ILoQQ6Ubza/iG+UDRQEc0FOU/Nf8hGlITdkrl7ETCHRmKFSkxsgxG/n4kviz3ZxXDMBjNaLyG+06iEEJ8HRgZBrlX5nZ0NcQRQO7YiZREyiM8N+w5JUOx0WiU+7lf3VuxiiOyCyFEuolVxii7skzZUKzP5+MCLlD2rLPK2YmEO3IlFCkxMgz6fb8f3iz3d9k8hoczOAPDUHPDWHVEdiGESDeeoIfgN4LqhmLNKE/zNFFT0VCswtmJhDsyFCtSYmQYnHDjCfgyFAzFegyGMUxZx051RHYhhEg3ekAn+wfZ6srTdHLJRdcUnTgVzk4k3JFLoUhJZHeEZwc/S11JnfuyohH+wB8IR9R8s1MdkV0IIdKNucek7PIy4lVxJeV5vV4mMAGvV82zzipnJxLuyJVQpMTINhh09SAlz094DS/ncz4+r5oxBdUR2YUQIt0YWQYZkzPQMtTcEYtEIzzO40Siap51Vjk7kXAnbTp2d9xxB5qmMXPmzFbTPProo2ia1uRn/+lQHMdhzpw5dO/enWAwyPjx49m4ceMhrn3nZwQMBl01CCPgfvjU4/EwiEF4PB4FNUN5RHYhhEg3uk8n64IsJbP/AHh0D33og0dXcx5WOTuRcCct9sB7773Hgw8+yNChQw+YNicnh127diV/tmzZ0mT7XXfdxX333ceCBQtYtWoVmZmZTJw4UdkbmF9X4dIwiwYtom6n+6HYcCTMbdxGKKzmm11DRHYZihVCdFZmuUnZZWVYlZaS8rxeL+MYp3QoVtXsRMKdDr8S1tXVcckll/Dwww+Tl5d3wPSaplFcXJz86datW3Kb4zjce++9zJ49m8mTJzN06FAee+wxdu7cyaJFiw5hKzo/b66X4XOHE+jq/o/W5/UxjWn4fX4FNVMfkV0IIdKNkWOQfVm2srBOkUiEh3lY2U0PlbMTCXc6vGM3Y8YMzjvvPMaPH59S+rq6Ovr27Uvv3r2ZPHkyH3/8cXLbpk2bKCkpaVJWbm4uo0ePZuXKla2WGY1GqampafIjmjICiXAnKoZivdleBp06CG+Omm+KqiOyCyFEutF9OsFvBJUNdXpzvJxy3CnKzsMqZycS7nRox+7JJ5/kgw8+YN68eSmlHzRoEI888giLFy/miSeewLZtxo4dy/bt2wEoKSkBaHIXr+H/DdtaMm/ePHJzc5M/vXv3PsgWdV6hXSEWDVxE7Xb387tGnSg3rL6BqKMmflJDRHY90OHfU4QQ4pAwd5uUXVqGtUfNUGwwN8j0+6cTzFUzt6vK2YmEOx12Jdy2bRvXXnst//jHP5q9ANGaMWPGMH36dIYPH864ceP497//TWFhIQ8++KCrusyaNYvq6urkz7Zt21yV1xkF8gOc/MDJBIvcnwT8fj833XRTyvv9QFRHZBdCiHRj5Brk/DwHPUfNZTscDnPNNdcQDqsJO6VydiLhToe9R7h69WrKyso48cQTk+vi8ThvvPEG8+fPJxqNHvCtSa/Xy4gRI/jiiy8AKC4uBqC0tJTu3bsn05WWljJ8+PBWy/H7/fj9ap736qx0n06P8T0wfO4PGV3X6dWrl7K3YlVHZBdCiHSj+3QCI9W9mOD1ernwwguVvTyhcnYi4U6H3bE7++yzWbduHWvXrk3+nHTSSVxyySWsXbs2pYt+PB5n3bp1yU5c//79KS4u5tVXX02mqampYdWqVYwZM+aQteXrQOVQbDgc5tJLL6W+Xs03u4aI7DIUK4TorFQPxRqGwbhx45TNAKRydiLhToddCbOzsxkyZEiTn8zMTPLz8xkyZAgA06dPZ9asWck8c+fOZenSpXz11Vd88MEHTJs2jS1btvCTn/wEIBkH77bbbuPZZ59l3bp1TJ8+nR49ejBlypSOaGanESgMMO6ZcWQWZ7ouy+/3c8899xAMqnm2Q3VEdiGESDdGnkGX33ZROhR7+eWXqxuKVTg7kXAnrUO6bt26FV3fdxBXVlZyxRVXUFJSQl5eHiNHjmTFihUcf/zxyTQ33HAD9fX1XHnllVRVVXHaaaexZMkSZc9zfW3p4C/yK/kqoGkawWAQTVMTQV11RHYhhEg7OuhddGW3Y3w+Hz/96U/x+dTcYVM5O5FwJ606dsuWLWvz//fccw/33HNPm2VomsbcuXOZO3eu4tp9vUVKIyw9Yyn9t/Unu5e7iagjkQg//elPWbx4MZmZ7u8ANkRkF0KIzsqqsNjziz10vacrKAjc4PF4GDVqlPuC9lI5O5FwRx5KEikJdAsw4Y0JZPZw3xELBAIsWLCAjIwMBTVTH5FdCCHSjZFv0PWerom7dgqEQiEuuugiQiE1MwCpnJ1IuCMdO5EaG6JlUVAQUcRxHMLhMI7juC8M9RHZhRAi7dhgV9lKzsGQeNZ5zpw5yiJCqJydSLgjV0KRksjuCMsvXE59ifs3WaPRKL/4xS+UPbSrOiK7EEKkG6vSouqWKmXxOj0eD8cff7yysFMqZycS7siVUKQko3sGUzZOcf18HYDf8XPPoHvwo+abouowAEIIkW58hT6K/l6E0VVNx6l6dzXfmvAtqndXKylPZUgs4Y507ERKbNNm5ys7sUz3nScrZLF9w3ZidTEFNVMfkV0IIdKNbdpEVkewLTV37Hy2jxn2DHy2mrdiVc5OJNyRK6FISaQiwrtXvUu4zP3wadSMMp/5RCNq5optiMiuG3I4CyE6J6vaoua+GnVDsbqHYorx6GqGYlXOTiTckSuhSInKodhgIMht3KburVgZihVCdHKqh2JDoRDXc72yt2JlKDZ9SMdOpMSKWGx+ajNWxH3nKR6Ps5nNxONqZopQHZFdCCHSjW3ahJeFsU01d+wCgQC/4TfKgvernJ1IuCNXQpGSWHWMtXPWEtkTcV2WGTN5gieImmqGYlVHZBdCiHRj1VjUPlqLXa+mY6dpGgECymYAUjk7kXBHdoFISbBbkCkbppDVw/0MD8FAkNnMJiOoZii2ISK7XaUowJMQQqQZX4GPokeLMPLUDMWGw2Fu4iZ1c8XunZ2ofqf7kFjCHenYiZRYEYsND2xQNhS7gQ3qhmIVR2QXQoh0Y5s2dc/WKRuKDQaD3MqtBINq3mJVOTuRcEdeX2nDl19+SXa2+5cF9rdly5bDXkYq6dtKs+nTTXx2/2f0vbAvgcJAi2kbr9t/eceOHcn/l5aU8hzPMWL7CLLiTe8AlpaWtlqH1rbZlk3FlxXQA3S9eefuYMo80Da32yXv4cmbrvU6EvOma706W97WtsWr4tQvqqf+uPoWg7G3t0yz3CRChJ27duKLtR7y5EDn+uS6TVsIfxEmUNg0QoHba4+K9Ie6nJbU1nbcSyRyi0OkxNfVx/AXhxModP+grd/n5zquI+BX89CuXWOjzddApigUQnRSni4emAfkqCkvaka5nduVPetsVVp8fvXnRHa7fw5buCN37NowYMAAcnIU/RW14Oijjz7sZaSSvqU0Vsji03s/pc/8PvgyfG2mbbyu8XLfvn0B+LLrl7zJm3yv4HtkdG/5ObuePXu2Wr9m23qC8Xej/fkUbHO7XfIenrzpWq8jMW+61quz5d1/mx2xqV1YS+Z3MpWUafpMfs/vOarfUfgKfcnzc2OtnctbWzdw48BWrzEHe+1Rmf5Ql9NYTU2N8jJTJXfsREqsUCLciYrZIhzd4U3vm9geNc+KqI7ILoQQ6SYejhNeFgZTTXmO4bCn2x4cw1FSnsrZiYQ70rETKQkUBDj/w/PJLHL/YGwwP8jcv8wlq8j9G7agPiK7EEKkG2+el6KHipTF67R8Fn+q/ROWT01HTOXsRMId6diJlFh1FquvX41Z5/7romVZLFu2jFhMzVyxqiOyCyFEurFCFtUPVWNH1HyBzczM5NlnnyUzU81brCpnJxLuSMdOpMSKWJQuKyUWct8Zi8fjvPfee1iWmm+KqiOyCyFEunGiDuaHprKh2Hg8zieffKIs7JTK2YmEO9KxEykJFASY9N4kJUOxfr+f66+/Xln8JNUR2YUQIt1487wU/m+hsqHYaDTK3LlziUbVvBWrcnYi4Y507ERKzFqTd376DpEa93+0sViMJUuWYJpqvnqqjsguhBDpxqq3qLq3Cjuk5gtsRkYGTz75JBkZamYAUjk7kXBHOnYiJU7MoWp9lZLhTtu2+eKLL7BtdW/FqozILoQQaScG1mYLFI10NjwSo3IoVtXsRMId6diJlPi7+jn3rXPJKHD/7c7v93P11VcTCKgJUGzVWYQWh3BCal7bF0KIdGN0MSi4t0DZUKxpmixYsEDZyIlVa7Fh/gYiVTIU29GkYydSYtaavHnJm8qGYv/zn/+oG4rt6qPor0WJyOxCCNEJWfUWe363R9lQbDAY5K9//au6uWILA1zw8QVkFctQbEeTjp1ITRyiu6M4lvu7Yo7jsGfPHhxHUWDMvRHZVYUBEEKItBMHp9oBRac5y7JYvny5sugEVshi3e/WYYYUvbYrDpp07ERKfF18jF86nmBX99/ufD4fl19+OX6/X0HN1EdkF0KIdGPkGOTfmY+epeayHYvFeOaZZ5TFE1U5O5FwRzp2IiVmjcnrU15X8vxEtD7K32/9O5E6Nc9iqI7ILoQQ6caqs6iYU6EsrJPf4+c3p/wGv0fNF2yVsxMJd+RKKA47u84m9kUMq1rdEIDKiOxCCNHZhSvCLPrbIsIVaqYAUzk7kXBHOnYiJb4cH2cuOpNAF/dvsnq9Xi7gAnw+n4KaqY/ILoQQ6cbIMsifm4+eqeayHbfifMRHxC114U5UzU4k3JGOnUiJWWXyyoRXCO9x/+3ONE2e5mmippqI56ojsgshRLqxaiwqflWBXadmZCIQCHAFVygLO6VydiLhjlwJRWo84C/0oxma66I0XSOXXHRNzeGnOiK7EEKkHQ9ouZqyq3YsFmM5y5W9PKFydiLhjszBJFLiy/Zx+j9OJ5CjYCjW8DKBCXi9XgU1Q3lEdiGESDdGpkHXG7sqKy9ux9nKVuK2mqFYlbMTCXfkjp1ISXRPlCWnLSFUHnJflhnlcR4nElXzzU51RHYhhEg3VpVF+cxy7BpFQ7H+AD/khwT8aoZiVc5OJNyRK6FIiebV6DKkC7rP/SGj6zp96INHVzNThOqI7EIIkXa8YPQzlI2zxWIxlrJU6VCsqtmJhDtp07G744470DSNmTNntpnu6aef5thjjyUQCHDCCSfwwgsvNNnuOA5z5syhe/fuBINBxo8fz8aNGw9hzb8efNk+TllwirKh2HGMUzcUqzgiuxBCpBsj06DLzC7oGWou27ZjU001tqPoxKlwdiLhTlp07N577z0efPBBhg4d2ma6FStWcPHFF3P55ZezZs0apkyZwpQpU1i/fn0yzV133cV9993HggULWLVqFZmZmUycOJFIRL5FuBEpj/DCqBeoL6t3XVY0GuVhHla2T1RHZBdCiHQTq4yxe8ZuZUOxfp+fqUzF71MToFjl7ETCnQ6/EtbV1XHJJZfw8MMPk5eX12baP/3pT5x77rlcf/31HHfccdx6662ceOKJzJ8/H0jcrbv33nuZPXs2kydPZujQoTz22GPs3LmTRYsWHYbWdF5GwKDbN7rhzXB/l83j8TCUoXgMRUOxiiOyCyFEutH8Gr5hPlAT/hPTNHmWZzFNNQFAVc5OJNzp8I7djBkzOO+88xg/fvwB065cubJZuokTJ7Jy5UoANm3aRElJSZM0ubm5jB49OplGHBwjy2Dk70fiy3J/VvH6vIw2RuP1KxqKFUKITs7IMMi9Mhc9oOiy7UmEnkLN92uRRjq0Y/fkk0/ywQcfMG/evJTSl5SU0K1btybrunXrRklJSXJ7w7rW0rQkGo1SU1PT5Ec0FSmP8Nyw55QMxVpBiwV9FxAPqnnNXnVEdiGESDexyhhlV5YpG4rNKs5iztI5ZBVnKSlP5exEwp0OuxJu27aNa6+9ln/84x/KIl8frHnz5pGbm5v86d27d4fWJx0ZGQb9vt8Pb5aaodhzzz1X2csTqiOyCyFEuvEEPQS/EVQ2FBuNRrn77ruJRtXMAKRydiLhTod17FavXk1ZWRknnngihmFgGAbLly/nvvvuwzAM4vHmd3OKi4spLS1tsq60tJTi4uLk9oZ1raVpyaxZs6iurk7+bNu2zW3zOh0jw+CEG0/Al+H+rGIYBieffDKGoei9fcUR2YUQIt3oAZ3sH2QrG4rVNI2CggI0zf1sQoDS2YmEOx12KTz77LNZt24da9euTf6cdNJJXHLJJaxduxaPp/nA/5gxY3j11VebrHv55ZcZM2YMAP3796e4uLhJmpqaGlatWpVM0xK/309OTk6TH9FUZHeEZwc/S11JnfuyIhFmzZpFOKzmm11DRHZVYQCEECLdmHtMyi4vI16l5hEWn8/HpZdeis+n5hagytmJhDsddiXMzs5myJAhTX4yMzPJz89nyJAhAEyfPp1Zs2Yl81x77bUsWbKEu+++m88++4ybb76Z999/n6uvvhogGQfvtttu49lnn2XdunVMnz6dHj16MGXKlI5oZqdhZBsMunqQkucnvF4vP/jBD5SdUFRHZBdCiHRjZBlkTM5Ay1BzRywSiTB37lxlYadUzk4k3EnruWK3bt2Kru/re44dO5aFCxcye/ZsbrzxRgYOHMiiRYuSHUGAG264gfr6eq688kqqqqo47bTTWLJkSYc/x3ekMwIGg64ahBFwf8h4PB5OOOGEFu/KHhTFEdmFECLd6D6drAvUvOgAiRmAjj/++CbXWDdUzk4k3EmrS+GyZcva/D/A1KlTmTp1aqtlaJrG3LlzmTt3ruv6fPnll2RnZ7suZ39btmw57GWkkr6tNBtXb+TjH3zMxDcmEuwWbDFt43X7L+/YsaPJ/++++27uvPNOgsGmwSz3fz4y1W3Ri6Psrt2NvqP5SeVgy2xrm9vtkvfw5E3Xeh2JedO1Xp0tb2vbrEqLil9UwI3qyhwzZgy7d+9uNR+0fF1oad2uPbvoPqs728u2Q1nbaVMpT2X6Q11OS2praw9Z2QciXWuREiPHoPe1vfHmun+T1ev1Mm3aNGVDsXaNDTcD7h//E0KItKRn6vAdQNHEDtFolN///vfK3oqNVcb46DsfESmXAMUdLa3u2KWbAQMGHNIXKY4++ujDXkYq6VtL039g/2bbWkrbeF3j5b59+wKwY8cOevToQc+ePVutQ3u2WXkWtSNqye6ZrazMVLe53S55D0/edK3XkZg3XevV2fK2tE2/QFdWZiwWY8KECfTu3Ruv15s8PzfW2rm8pXVWnUX1WdUcM+SYFgPZu7n2qEp/qMtprCPj4codO5GS0K4QiwYuona7+9vL4XCY//mf/6G+3n2wYzgEEdmFECLNmLtNyi4tw9pjKSnP6/UyadIkZfFEVc5OJNyRK6FISSA/wMkPnEywyP04gNfr5caf36hsKFZ1RHYhhEg3Rq5Bzs9z0HPUXLbr6+u5+qqrlX3BVjk7kXBHOnYiJbpPp8f4Hhg+BaP3NRC8K4hT5bgvC/UR2YUQIt3oPp3AyAC6oegt1hqNkzaehFajJnyKytmJhDvSsRMpUToUGwlzPdcTCqmJd6Q6IrsQQqQb1UOxhmEwjGHKZgBSOTuRcEeuhCIlgcIA454ZR2Zxpuuy/D4/v+E3ymILqo7ILoQQ6cbIM+jy2y7KhmLDkTB/4A+EI2pmAFI5O5FwRzp2IjU6+Iv8So4YTdMIEFA2R6HqiOxCCJF2dNC76Mqu2j6vj/M5H59XzR02lbMTCXekYydSEimNsPSMpdTvdP9gbCQa4SZuUjZXbENEdol4LoTorKwKiz2/2INdpeYlMY/HwyAGKZsBSOXsRMIduRKKlAS6BZjwxgQye7gfig34A9zKrc1mnThYZrlJ2WVlWJVqnj0RQoh0Y+QbdL2na+KunQKhcIjbuI1QWM2zzuHSMIsGLaJupwzFdjTp2InU2BAti4KCL4uO4xAhguOoeSvWyDHIviw7EZldCCE6I5vE3TpFUZ38Pj/TmIbf51dSnjfXy/C5wwl0laHYjiZXQpGSyO4Iyy9cTn2J+6HYqBnldm4nElEz9Yzu0wl+IyhDsUKITsuqtKi6pUpZvE6Px0M/+ikdiu33/X4yFJsG5EooUpLRPYMpG6eQ3SvbdVnBQJDf83syMjIU1Ex9GAAhhEg3vkIfRX8vwuiqpuMUCoWYzWxlYadUhsQS7kjHTqTENm12vrITy3TfebJtmxJKiNtqwpOojsguhBDpxjZtIqsj2JaaO3b+gJ+ruRp/QM1QrMrZiYQ7ciUUKYlURHj3qncJl7l/kzVqRpnPfKKRqIKaqY/ILoQQ6caqtqi5r0bdUKzuoZhiPLqaoVilsxMJV+RKKFKicig2sziTP9/zZ3J65yiomQzFCiE6P9VDsdFAlOu5nmhAzRdsGYpNH9KxEymxIhabn9qMFXHfeXIch817Nqt7K1ZxRHYhhEg3tmkTXhbGNtXcscvMzOSf//wnmZnuQ1iB2tmJhDtyJRQpiVXHWDtnLZE97t9kNU2T+fPnE42q+aaoOiK7EEKkG6vGovbRWux6NR07TdPIyMhQNgOQytmJhDuyC0RKgt2CTNkwhaweWe7LCga59957lb0VqzoiuxBCpBtfgY+iR4sw8tS9FTt58mRlb8WqnJ1IuCMdO5ESK2Kx4YENSoZi4/E469atIx5X9Fas4ojsQgiRbmzTpu7ZOmVDsRkZGSxevFjZF2yVsxMJd+RKKFJi1VpsmL+BSJX7odhYLMbChQsxTVNBzVAekV0IIdKNVWcRWhzCCal5NtlxHEKhkLJnnVXOTiTckfeS2/Dll1+Sne3+LdD9bdmy5bCXkUr6ttKUhkoZ9sIwSupK4IuW0zZet//yjh07kv+vrq5m5syZ7Nmzp/nnlJa2XodWtll7EhHZnRudFkOeHEyZB9rmdrvkPTx507VeR2LedK1XZ8vb1jbndw7l0XI8O5qHKGlvmeFwmJ/+9KcsWLCgzXm7D3Sub/Dl2i/5+OKP8b/hJ6N7RptpUylPZfpDXU5Lams77u1guWMnUmJHbLY/sB0rpGYo9qOPPsKy1IQnMboaOHc50EVJcUIIkXbsiA3PAYoGOoLBIH//+9/b7NS1h6/Qx4hXRjTp1ImOIXfs2jBgwAByctTEWmvJ0UcffdjLSCV9S2ki5RHWv7ie3n/uTWZRZptpG69rvNy3b18AvvrqK1auXMn3v//9Vk8qPXv2bLV++29riMjuG+ZrVz4V29xul7yHJ2+61utIzJuu9epsefffFquMUf5uOQXfK1BSZjweZ9u2bfTu3RuPx5M8PzfW2rm8pXW2aVPyRgn9Tu/XYpDig732qEx/qMtprKamRnmZqZI7diIlgYIA5394fpNO3cHy+/3MmTNH2TdF1RHZhRAi3XjzvBQ9VKQsXmckEuHnP/85kYj756ZB7exEwh3p2ImUWHUWq69fjVnnfhzAsiyWLVtGLBZTUDP1EdmFECLdWCGL6oeqE0OyCmRmZvLss88qC1CscnYi4Y507ERKrIhF6bJSYiH3nTGzwuTtR98mvFvNNzvVEdmFECLdOFEH80NT2TN24d1hFk1cpOw8rHJ2IuGOdOxESgIFASa9N0nJUKzP6+MK5woC3oCCmqmPyC6EEOnGm+el8H8LlQ3FRsNRHo8/TjSsZgYglbMTCXekYydSYtaavPPTd4jUKIhjZ8VYznJ1Q7GKI7ILIUS6seotqu6twg4pClAczGA2s8kIqnmLVeXsRMId6diJlDgxh6r1VUqGO23bZitbidtqZp5QHZFdCCHSTgyszRYoGumMx+NsYIOyGYBUzk4k3JGOnUiJv6ufc986l4wC99/u/D4/P+SHBPyKhmIVR2QXQoh0Y3QxKLi3QNlQrBkzeY7nMGNqHtpTOTuRcEc6diIlZq3Jm5e8qWwodilL1Q3FdvVR9NciPF2aR2MXQojOwKq32PO7PcqGYoOBINdxHcGAmrBTgcIAF3x8AVnFMhTb0aRjJ1ITh+juKI7l/q6YYztUU43tqDlB2RGb2oW1ysIACCFE2omDU+0om4vVsiw+5ENlMwBZIYt1v1uHGVL02q44aB3asXvggQcYOnQoOTk55OTkMGbMGF588cVW0z/66KNomtbkJxBoOpznOA5z5syhe/fuBINBxo8fz8aNGw91Uzo9Xxcf45eOJ9jV/bc7n8/HVKbi9/kV1Azi4TjhZWFlYQCEECLdGDkG+Xfmo2epuWxblsUbvKG0Y7f5qc3E6tSMxIiD16Edu169enHHHXewevVq3n//fc466ywmT57Mxx9/3GqenJwcdu3alfzZfxLfu+66i/vuu48FCxawatUqMjMzmThxorLo2l9XZo3J61NeV/L8RCwW41mexTTV9MRUR2QXQoh0Y9VZVMypUBbWKRAIcA3XNLs5ctDlKZydSLjToVfC888/n0mTJjFw4ECOOeYYbr/9drKysnjnnXdazaNpGsXFxcmfbt26Jbc5jsO9997L7NmzmTx5MkOHDuWxxx5j586dLFq06DC0SHQE1RHZhRCis4tZMVaxipil5g6bytmJhDtpc4sjHo/z5JNPUl9fz5gxY1pNV1dXR9++fendu3ezu3ubNm2ipKSE8ePHJ9fl5uYyevRoVq5ceUjr39n5cnycuehMAl3cf7vzer1cwAX4fD4FNVMfkV0IIdKNkWWQPzcfPVPNZTtuxfmIj4hb6sKdqJqdSLjT4RFd161bx5gxY4hEImRlZfGf//yH448/vsW0gwYN4pFHHmHo0KFUV1fzhz/8gbFjx/Lxxx/Tq1cvSkpKAJrcxWv4f8O2lkSjUaLRfdG3a2pqANjw4Qa6FHcBJ/FGkjfbixN3sEKJZduyiUfieLMSy3bUxsg0sGM2dszGyDCwTRvbSizHo3Ec22FH2Q5sM5HXE/AQjyb+sDx+D/FIHLTEshW20HQtsRyy0A0d3adjhSy279qOZmhY9Ra6X0c3dGJ1MTwBT2K5NoaRYaB5NGK1MXaU7wCNxPoso8U27dyzEyfuEKuLNWvTF2u+4POZnzN+8XiMDIPNX23GE/Qk22QEDTZt3AR7363YtHFT8ve56fNN7Ny1E0i86FBSXsKinou4fNflBEIBNEPDiTrggbKKMoiCE3fQPBp22EbzaWgejdItpbC3L2iHbTS/Bho4EQf7Jpvd9bvhC9CDOo7t4EQd9KBO6c5S2HuuceIOTsxBD+g4lkPZrjLwkXgpJA6aX8OJJR5QLqsqAwsc00HzaThmonENy2W7y8BIdCzRQfPua4dmaJRuK4W9L+raERvNqyXbtLtyN3j2tUPTtSZtKttaBn6atKNheXfNbogn8upB/bC1qayiDMxEuZqhtatNZWV796vjgEO72lS6sxT2XnukTRql20tB25u3nW0q3VIK3qZ/Q1/nNpVtK4PA3vOC6bSrTWUle//OYoly29OmsvJGx+Te80VDm8rKyyCy3znQr+GEHHbP2Q0zEm1xIg5aQEu2aXfNbrD32zdmo3Og1bQdjubw82//nKr6Kmp31CbigNqgB/TEcgvn8obr0/aS7dgRm3g0nrw+7araxeBnBrOtZBt6hY7u1bHqLbaXbk9ch1xenxpfc3dWJK5VVr2V0jXXCCaWcWhyzd1esh072qgdbVxzde++NqVyzQ3baqZqOxia4zgdGvzLNE22bt1KdXU1zzzzDH/5y19Yvnx5q527xmKxGMcddxwXX3wxt956KytWrODUU09l586ddO/ePZnue9/7Hpqm8dRTT7VYzs0338wtt9zSZJ0fP7dxG+9cFMATg1H/F+Ht6UGCVTZDX4yy6uIg2bvjDFpu8v6FQbrsiNP//RhrJgfI3xynxycx1k0K0G2jRf7mOJ+c46fHJzGyd9usHlHDgE99ZMeDfDHWR7/3EreaNo/ycfQKk2iGxrbhXgYtj1JbqLPzeC/Hvxylop+H0oEGJ7wQ4av+IUp7xjn99Ww2neSlqqeHk54Js2Gcj9pCD6P/Geajb/oJd9E59bEwyybWYxkO4/+b1WqbXj2vjtw9OiPez2jWpux1ezj+owDvTQ1QuMWmy5dhVo+NcMz2LmTvttkwzk+3VdUEIhpbxuXQ8+1qAHacmkvf5TXU6iG2DvMw7N0A27w7eTvjbb5fPZnd/eNsHxRhzHNd2DQkxFf5pZyztC8bTglT3ivGmU92Zc1ZNVQVWZzzWFdeP3MbVu9MJj1SyGvfr8DyOkx4ooBd3er4aGgZE18+ihd+vJusSg9jnu/Cyz+sILApzCnvdGfZxVUUbPdy3LtZvPmdSoo3+ej7oY/Xz9rGMbu6032zn/cmVtN/fZAuZV7ePmkLx3+cT3Y8g3Wn1XHcqsSzI5+OrueEt7Ko9YT4ZHAFp77fl6qiGJuGhBn1Ui67+kXZPijC6EVZfH5MJZXHezn933l8enJdsk0rR+9gT36EyYuPZuW3qqjLizdr06LJX5ATyOOsp/KbtGnx5C/oWhFgzKqevH7RnsPWps+77+LM13qzZZhJSX+zXW2qiVQyZfHRLJ1WjhHT2tWmvE9iHPN5Hqum1NFrQ+Br36bjXvMRDlpsHmMz4rWcdrXpG//swjun7CLSP8g5j+dLm57LZfGUL+kRKWTEazntalP2Dod3xuxi2Bc9CYT0drVpS/EeNvev4ezl/dk0JNSkTVtzypj03/6sPbsucd7b26ZwZpyJTxTy0jlfoXXLYcITBU3a9MyFn5NT7ePMZX14+YcVdCkzkm3K/jzK0I8KefvCGoo3+ei/PoO3J5VT8+JaxsVO492RlRxX0o0uezx8eHKEAZ/6WjyXN1yfPj2qimHvBgj3CCSvT7vyQ+SXGwRNg51DfFT08zBicYRPjg9R0S3ON5Zmubo+Nb7mLptQR36ph+M/yUjpmrthnJ/ea2P4Q06Ta+76QdUMXuPHzg0e8Jq783hvsk2pXHNXXgD/fvZ6qqurycnJOWB/RqUO79jtb/z48QwYMIAHH3wwpfRTp07FMAz++c9/8tVXXzFgwADWrFnD8OHDk2nGjRvH8OHD+dOf/tRiGS3dsevduzc/+NHfMbISf6i66WD7dbAd9FijZcvB9u23HHfQbAfHq6PFHWhYthxwHKrrS9HiDjm5xTiGjmYlng3bt6zhGBpazAat0bKu4XgSyzW1JTi6RpeMbtiGBrqGbtr7lqM2tnffclUocceyS0Yxtk9rsU1V4VKwHbpkFTdrU+2enWhxyCrsgRZ3qN2zC9urkZtVDE6ifbUVO9EcyCroQW1F4g5ddn4P6sp3UltbTmZeIbrlUFbyOd5+QbKzCnB0cDygx8DRoa6mHE8MAgUFoIPHhLgB6BAtrcAyHDLzC/BEIb737p2/CoY9afPm5D1k5BcQ9wM2eGIQ90Ooohw9rhEoyk98I7XA9oEWh3BFOXEvZOUUoNlge0GzQHOgtq4cPQ6ZuQXJ9Yn9lKhvfXU5todEO7R96xvaFClLbM/IL0A3wd7bDo8JtbXlODrkZBQQ9+5d36hN0bJEBy8zryDxO2jUpppQOZoN2dkFifSHqU0N+yaYX5DYZ+1oU31l4gLkL8oHaFebEvsPAkUFaHG+9m0K7y4HDYIFBYl2tKNNkbIKbI9DRsPf0Ne8TdHdFVg+h8zcAjwW7WpTqLIc24Cs7AI0h3a1qa66HKfhmGw4B+5tU311OZ6YRqAgf187vI3OgY3PC3vPFx4zsW+wISer0Tlwb5taakcMk9VPL2To8Cng95KdubcdhoYWd1o8lzdcn6rrStAth+wu3ZPXp1DZToa9aPLl93oRz/SCJ3FNqqorgf2vVQdxfWp8za0K7XetOsA1N7mM0+SaW11X2qwdrV1zHV1LtimVa27ECfPkQ9M7pGOXNs/YNbBtu0knqy3xeJx169Yl787179+f4uJiXn311WSampoaVq1a1eZze36/PxlypeEHSBwwmgaaljioAPT9ln0tLHs0HG9i2Wm8bOy33mhYr++3nDiwHe9+y55Gy7q2r44tLfv3W27cjoNok8d0OHFxBD1k4Xi0xAHcQpvshvp6tGR9bUPDaRiSNDRiToz1ry0mhrlvvZfkcsNJDPaeuPYuWz5n33o/iWEODaJ58PpFe7CCe9eTyNOw7OgQ9zrJ9fbek6Hj2ftZe5fthmVj37K933rH2Fdfu3HdG61v3A5nb33tRu2I+/atj/tpsU2Wz0kut9om3771h7VNDWkOV5t0aVOTNhku2uR1pE2N2mT59p0X2t0mo3n72tsmu402sV+bjBCc/u88jGijdrSxnxq3qaV2eLw+ho6eCn7v3vVNz98tncsbX59sQ2tyfYplenj/wiDxHB80nPsP0/UppWuu0fI1d/92tHbNPag2dZAO7djNmjWLN954g82bN7Nu3TpmzZrFsmXLuOSSSwCYPn06s2bNSqafO3cuS5cu5auvvuKDDz5g2rRpbNmyhZ/85CdA4o3ZmTNnctttt/Hss8+ybt06pk+fTo8ePZgyZUpHNLHTsHWo66qDx/0ho2k6OUU9QFNz+OkRGP3fXDzy8oQQopOydajJt5KdWLfilsWXny7DjquJY6ebNkOWRNCjEp2go3XoyxNlZWVMnz6dXbt2kZuby9ChQ3nppZc455xzANi6dSu6vu8orqys5IorrqCkpIS8vDxGjhzJihUrmjyPd8MNN1BfX8+VV15JVVUVp512GkuWLFEWq+fryvbpfHaWnxy/+7OKrnvoM2QUHkPN4ac74A/raHI+EUJ0UnYAVp9To65AxyEaqcFBzdNYug2+CODYpOFg4NdKh3bs/vrXv7a5fdmyZU3+f88993DPPfe0mUfTNObOncvcuXPdVk80YoRtTlwc5fPpFnaGu8MmHo+x9qXnGP3dn2B43Yc8sYLwxoWVAKiZy0IIIdKLEYLx/8jnjW9XQJ778jxeL8ePuMB9QXtZAZ0PpgTICXR4sI2vPelWi5TYHqjs5QFDzVBsUb9BTe7GuqFH4NTFXRLPngghRCdkG1DWy8RS1G+KWzE+X/cScYVDscOej6BH1JQnDp507ERKbJ/OxtN8+x5WdUHXPfQYNAzdI9/shBAiFbYPPhpXm3yxQ4jWSMdOpMQI24xeGEYPuf82Fo/HWP3cE1gxNW872AF4e3IVlozDCiE6KSMEEx7LxxdSU57H8HLMCRPxKPqCbft0PvxWAFuGYjucdOxESmwvlA40sBUNxfYechK67lFQMzDCcMYzeRgRJcUJIUTasQ3YOiiMpeiOXTwW45M1zxKPq5kCzIjYnLhIhmLTgXTsREpsQ2fzKC8oGIr1WV4uXD0Gn6mmY2drEA3aysIACCFEurF98NnoUDJ+nltGVGPgzny8ppp4a7YOZgBlYazEwZM9IFJihGzGPBHGqFfwbSxmsqDmXuywmrcd7ACsOq96X4BRIYToZIw6mPhogbKhWK9j8K3YRAxH3VDs+nMD+4IJiw4je0CkxPLB1qEGlpI4dgbnc76ylyeMEJz5ZFcZihVCdFpWAL4YXq9sKNayTB7ncaVDsSc9o+Y5bOGOdOxEagydHUO9SsKd6JrOIAYpe8ZOdUR2IYRIOwZ8OTysbChW03T60EfZ1FcqZycS7sgeECnxhmzGPh7GqHP/bcyyTG7jNmKmmltsDRHZZShWCNFZ+ergm38rwBdSc9n2eAzGMQ6Prm4o9rOz/DIUmwbkveQ21FaX4PUFlZdbV7P7sJeRSvq20oQiFXw8zKA6UgqW3mLaxuv2Xw7V7Un+3zRDTGMaG+vqiOl1TT+nprL1OrSyzReCs/+dx0sTNlPfjnxutrndLnkPT950rdeRmDdd69XZ8ra2LWzB6hFxaiI1BCqbz5/Y3jIjVRYP8zzda8cTs1sfPTnQub5BtGw3p72WwZrJO7CCeptpUylPZfpDXU5LYmb4kJV9INK1FimxDdjRz1I280Q/+imbecIyYFf3eixDJosVQnROtgGbj6pRNhSrax6GMhRN0VuscQN2d4vTRh9RHCZyx64N2bnF+PwZh6z8nC7dD3sZqaRvKY2v3uak/4vy2Y8KsbKNNtM2Xtd4OSunEADTW8psZjMh4zcYeYEW65CZV9Bq/Vra9snZ5QTIa3c+t9vcbpe8hydvutbrSMybrvXqbHn33+arhW8+U8Br39uDkdfVdZk+A0ZTxOtZdRgZ+87PjbV2Lm9t3eYzW7/GHOy1R2X6Q11OY2ZU0evLB0Hu2ImUmH749BveJrfYD5bH4+VqrsYw1DwUpzoiuxBCpBszCKvPriEaUDMyYcVM7ud+LEvNDEAqZycS7kjHTqTG0KnsYygbii2mGE3RUKzqiOxCCJF2DCjrayobZ9M9Hs7gDHXRCRTOTiTckT0gUuKrtzn1sTBGrYq3YqNcz/Xq3opVHJFdCCHSja8WJj1SiL9OzWVb1z0MY5i6jp3C2YmEO7IHRErMIKz9ph8r0/0h4/gNflZwA2QoGopVHJFdCCHSjZkJb59fSTRDzVBsxIlyp+f3RFA0FKtydiLhinTsRMpiit4jsQxYd24UO6AmMKbqiOxCCJGOIkGFb/5nGfQ++RwIqBnqUDk7kXBH9oBIiS8Mo/4vilHv/sQSj8d484k/YZlq5opVHZFdCCHSja8ezv5XPn5FAYp13UN+t6OVhZ1SOTuRcKddl0Lbtlm+fDlvvvkmW7ZsIRQKUVhYyIgRIxg/fjy9e/c+VPUUHcwMwnvf9RNQMBTr8Xg5fdq1GD6/gpolIrKf8bcCXv3+HshTUqQQQqQVMxNe/V4F0QxbyfsTlhnhzSV/ZMzZMzC87s/F3pDNqP+L8tmPLKws+ZbdkVK6SofDYW677TZ69+7NpEmTePHFF6mqqsLj8fDFF1/w29/+lv79+zNp0iTeeeedQ11n0UG8Cp9hs2Im4CgpywzAurG1WD4JUCyE6LwCYXV3w3TDywknT0X3eJWUF/PBl6MNrIDcsetoKe2BY445ho8++oiHH36YmpoaVq5cyf/93//xxBNP8MILL7B161a+/PJLTj/9dC666CIefvjhQ11vcZj5wjD8RXVDsSufegDLVPPQLgZsHxSVoVghRKflq4dTn8tTOhTbpWtvpUOxpcfIUGw6SGkPLF26lH/9619MmjQJr7fl3n3fvn2ZNWsWGzdu5KyzzlJaSdHxzEydt6cHm8w6cbAMw8eZP74Br7/lWSfay1cL33ykQFkYACGESDdmNrzw491Es9SMTMSiEV5/fh5WTM2zzr56m7GKQmIJd1K6Eh533HEpF+j1ehkwYMBBV0ikKcsmb6sFlvuTiuPY1FeW49hqTlCqI7ILIUTasaBoiw8U9ZsMr49RZ1yOx1AzFKtydiLhzkHdfolEInz00UeUlZVh73dxvuCCC5RUTKQXXxSOWxbjs/42Vra7P9x43GL1808w/n9mq7lr1xCRXQghOilfGEa+msNr39ujpDxN18nKKVJSFrB3diKdHBmK7XDt7tgtWbKE6dOnU15e3mybpmnE43ElFRPpxczUWTE9SI6iodgzfjhT6VDsuEcKefV7FfJWrBCiUzKz4cUfJ667Kh4njkUjvLLoFr5x3q+VvBXrq0+8Ffvpjywlj+yIg9fu3/4111zD1KlTmTNnDt26dTsUdUobtdUleH1B5eXW1ew+7GWkkr6tNKE9u+m+3aD6eBsMvcW0jdftvxyq2/ctM1S/h6pNtRTaxzR7cDdUU9l6HVrZVm/Dq2eGqLSiZFQ2H449mDIPtM3tdsl7ePKma72OxLzpWq/Olre1bboFRevjbO1To6RMx3EYedqPiEbqMKP1reY90Lk+uS5WwcpxOnasFKr0NtOmUp7K9Ie6nJbEzPAhK/tA2n3PtLS0lF/+8pedvlMnmjJiMHitH6+CEU/ddNjyxusQjrkvbK9wUB7YFUJ0Xoapc+IH3fCZit6KNWHk593QFZ46I355zjkdtPuO3YUXXsiyZcu+Fi9IZOcW4/MrmkerBTlduh/2MlJJ31KaGmDF9MS24AHSNl7XeDkrpxAAO1jFzfE5rMx1MLNbrkNmXkGr9dt/m68WxryQGIo18rqmnE/FNrfbJe/hyZuu9ToS86ZrvTpb3mbb8mDJj8vRyVVSplYR4aGyOZwz5Nc4Wf7k+bmx1s7lLa3z1duMejbKpz/q1uJQ7MFee1SmP9TlNGZGO27y8nZ37ObPn8/UqVN58803OeGEE5qFP/n5z3+urHIijVg2PT+JUzvWdh2nyHZsNrAB2x4AeFxXTXVEdiGESDsWDFgbZNMQNUN8htfPrdzKCk8MFWMnKmcnEu60+zr4z3/+k6VLlxIIBFi2bBmatm8id03TpGPXSRkm9PnIYsNIG8ttx862eI7nGB2/GhUdO0hEZI9myDCAEKJzMiJw9NpMth2j6tkthwgRVJ2DQe3sROLgtfsK/Zvf/IZbbrmF6upqNm/ezKZNm5I/X3311aGoo0gDVobOymlBrEwFb8V6fFzHdUrexAL1EdmFECLdWFnw0mXlmIqeDrJiJrdzO1ZcTagolbMTCXfafSU0TZPvf//76qYhEUcE3bLp914MTPd/tLYd50M+xLbVhMZRHZFdCCHSjW7CsasylL3s4PUF+D2/x2uo+YKtcnYi4U67e2eXXnopTz311KGoi0hjegy6bbTQFc088QZvYKuKeag4IrsQQqQb3YI+G4IYimKxO7ZNCSU4jqIvxApnJxLutLtrHY/Hueuuu3jppZcYOnRos5cn/vjHPyqrnEgfVlBn1Q+C5GS4/zbm8Xi5hmtY6XVQcY5SHZFdCCHSjZUBS6dXAKBiEjDLMpnPfM6I/wJQEKBY4exEwp12//bXrVvHiBEj0HWd9evXs2bNmiY/7fHAAw8wdOhQcnJyyMnJYcyYMbz44ott5nn66ac59thjCQQCnHDCCbzwwgtNtjuOw5w5c+jevTvBYJDx48ezcePG9jZT7Ec3bQa+ZaIrGopdxSrsuJpbbA0R2WUoVgjRWekmDF2eja7ojp3XF+A2blM6FLtChmLTQrv3wOuvv67sw3v16sUdd9zBwIEDcRyHv//970yePJk1a9YwePDgZulXrFjBxRdfzLx58/jWt77FwoULmTJlCh988AFDhgwB4K677uK+++7j73//O/379+emm25i4sSJfPLJJwQCaqaw+jrS45C3Pc5uywafu29jjmPzER9xrD1cTeUs6LXBz84BUTXlCSFEmtEtKNruw1D0yIltx9nMdmy7Kwdxj6c5y6bbV3HCJ7oPiSXcUfbb37JlC1dffXW78px//vlMmjSJgQMHcswxx3D77beTlZXFO++802L6P/3pT5x77rlcf/31HHfccdx6662ceOKJzJ8/H0jcrbv33nuZPXs2kydPZujQoTz22GPs3LmTRYsWuW3i15oV1Hn3oiC2oqHYK7gCw+tTUDPwReCEFdkYiiKyCyFEurEy4JVLKpS9FRu3YjzBE9i2mhmAvCYMWGVhRGTkpKO1+yp95plnNold12DXrl3s2rUr2clqr3g8ztNPP019fT1jxoxpMc3KlSv55S9/2WTdxIkTk522TZs2UVJSwvjx45Pbc3NzGT16NCtXruSiiy5qsdxoNEo0uu9uT01Ny3PxfZ3pps0xb8UoOc/G9rvrQFlYvOZZhsGpqJjO2syCF3+UmBxbxbMnQgiRbvQIjHw5h7Xj1FyfPMEAN/hu5C1fCBVdsViGzoofBsnJkqHYjtbuPTB8+PAm/4/H43z11Vd88cUXPProo+2uwLp16xgzZgyRSISsrCz+85//cPzxx7eYtqSkpNkctd26daOkpCS5vWFda2laMm/ePG655ZZ21/3rRLcha48NcRu3N3qj3jif9v6CkwJj1ITGVByRXQgh0o1uQ06FgabohpgZiPPMyPXk+Y5CVzQUq2p2IuFOuzt299xzT4vr//KXvzB//nwuueSSdpU3aNAg1q5dS3V1Nc888wyXXnopy5cvb7VzdyjMmjWryZ3Ampoaevfufdg+/0hgBXTev1DdW7FDzpqMR9FQrPqI7EIIkV6sDHj9osSb/yped7Ati8/XL2XUuJ+g6+7PxSpnJxLuKPvtn3322axdu7bd+Xw+H0cffTQjR45k3rx5DBs2jD/96U8tpi0uLqa0tLTJutLSUoqLi5PbG9a1lqYlfr8/+WZuw49oSjdthiyJoEfVvBW76YO3iFtqngJWHZFdCCHSjR6B0f/NxaPorVjD52fM2T/DMNR8wVY5O5FwR9keeO211zjzzDNdl2PbdpPn3RobM2YMr776KjNnzkyue/nll5PP5PXv35/i4mJeffXV5JBxTU0Nq1at4qqrrmp3XWqrS/D6gu3OdyB1NbsPexmppG8rTaSmAiOUQV3lLqyA3mLaxuv2Xw7V7YsxF66vpL6qgvrK3XiMpk/FhWoqW61Da9t0Cwas9PDx4PJ25XOzze12yXt48qZrvY7EvOlar86Wt7VtRgR89bmEa6qJt9AXa2+Zth1n15cf07XwKHS99YdiDnSuT37Gnt0c/amXktE2dqM7dm6vPSrSH+pyWhIzO24Eqd0du+985zvN1pWWlrJq1SrOPPPMJtv//e9/t1nWrFmz+OY3v0mfPn2ora1l4cKFLFu2jJdeegmA6dOn07NnT+bNmwfAtddey7hx47j77rs577zzePLJJ3n//fd56KGHANA0jZkzZ3LbbbcxcODAZLiTHj16MGXKlPY2VTRi+eCt8SGyApmuy9I9BkeddEazTt3BMkw46qsubBgkAYqFEJ2TFYCXzt0MgIp7bE48zs6ta8kr6AcKnnb2WNB7s4+yE8GWm3Ydqt2//tzc3BbXHXPMMe3+8LKyMqZPn86uXbvIzc1l6NChvPTSS5xzzjkAbN26tcmctGPHjmXhwoXMnj2bG2+8kYEDB7Jo0aJkDDuAG264gfr6eq688kqqqqo47bTTWLJkyUHFsMvOLcbnP3Tjezlduh/2MlJJ31Ia3bQ5YanJlgsLsQNGm2kbr2u8nJVTCEBddRnbP32PE8Z/u9XOXWZeQav1a7YtD16+tByD3PblU7DN7XbJe3jypmu9jsS86VqvzpZ3/216BE5d3IVV51bhV1TmKWf+T3K54fzcWGvn8pbW1QCrLmn9GnOw1x6V6Q91OY2Z0ZDyMlPV7o7d3/72N2Uf/te//rXN7cuWLWu2burUqUydOrXVPJqmMXfuXObOneu2euII0RCRff2Y2o6uihBCHBHsuMWOzR/Qvc+wNodiU6WbNgPetdg9wcZ2GcReuJPSb99xnENdD5HmbJ/Oh98KNLlbd7B0j8HA0WcpG4pVHZFdCCHSjR2AtydXYamZAQzbtind+QmOHVdSXsPsRFgSoLijpdSxGzx4ME8++SSm2fbrOBs3buSqq67ijjvuUFI5kT6MiM2JiyLoEfe9p3jc4rO3XiQeUxPxXHVEdiGESDdGGM54Jg8joqg8r48Tx07Do+qtWIWzEwl3UtoD999/P7/61a/42c9+xjnnnMNJJ51Ejx49CAQCVFZW8sknn/DWW2/x8ccfc/XVVx/UG6givdk6mAFAc3+LXdM0/BnZ0MIMJgdDdUR2IYRIN7YG0aCNo2iUM25ZbPliJb37j0L3KBiJUTg7kXAnpb159tln8/777/PWW2/x1FNP8Y9//IMtW7YQDocpKChgxIgRTJ8+nUsuuYS8vLxDXWfRAWyfzvpzA+Qo+IPV8TA6/yzqFUXbUR2RXQgh0o0dgFXnVasrMGYT2bEDp89JKl6KVTo7kXCnXVfW0047jdNOO+1Q1UWkMSNiM/z5KF/8wHJ9q90bjvPpymfp1/d72HnuhwFUR2QXQoh0Y4TgzCe78uYUNWGdgpaPn1dexutWHaaC0ViVsxMJd6RbLVJi61DXVQePmqHYPvRBUzCsC+ojsgshRLqxdajJt9QNxcYtlrKUuK3mrTOVsxMJd6RjJ1Ji+3Q+O8uv5NkJXTcYxzg8Cp7rANAd8Id1GYoVQnRadgBWn1PT4qwTB8VxqKYaFEW90G3wRQBHTsQdTTp2IiVG2ObkJ8PoIRVvxcZ4mIexYmpusVlBeOPCSqz2x6AWQogjghGC8f/Ix6co7q3H8DKVqXg8asJOWQGdD6aoCYkl3JGOnUiJ7YHKXh4wVAzF6gxlaJNZRdxoiMhutDzFsBBCHPFsA8p6mViK+k1xK8azPEs8rm4odtjzakJiCXekYydSYvt0Np7mUxJRXNc9jGa0klfshRDi68D2wUfjarFVDcWKTqvdV+mzzjqLW265pdn6yspKzjrrLCWVEunHCNuMXqhuKPZ+7lc2FKs6IrsQQqQbIwQTHlM7FHsBFyh71lnl7ETCnXbvgWXLlrFu3TrWrFnDP/7xDzIzMwEwTZPly5crr2BHqq0uwesLKi+3rmb3YS8jlfRtpQmFK9jW10tNqBTb1FtM23jd/suhun2v6Eei9ZzBGZTVVhPbL0hxqKay9Tq0ss2IwOnP5vLqWVvblc/NNrfbJe/hyZuu9ToS86ZrvTpb3ta26RZ82d9DTaSSQAtJ2ltmtCrO07xJsHYUMbv1ezwHOtc3iJTv5pQ3Mlg/aQdWQG8zbSrlqUx/qMtpScwMH7KyD+SgxtVeeeUVSkpKOOWUU9i8ebPiKol0ZBvw+QkxbAXP2OmazjDUTDwN4OgQCchzHUKIzss2YN2wcmxFN8Q0TSOXXFUTAGEDUb9DG31EcZgc1CHSvXt3li9fzo9+9CNGjRrF008/zXHHHae6bh0uO7cYn//QTUCa06X7YS8jlfQtpTFCNqP+HWXDjwqxMo020zZe13g5K6cQANNXxh/4A6Mzr8bIa3n8NDOvoNX6tbTtvQvK8ZHb7nxut7ndLnkPT950rdeRmDdd69XZ8u6/zaiDif8u4PXvleNVUKbPgDFM4PWsOoyMfefnxlo7l7e27tPzWr/GHOy1R2X6Q11OY2ZU0Zj5QWh331rb2733+/0sXLiQa6+9lnPPPZc///nPyisn0oflg61DDSxFcey+xbeUvTzREJFd1eTYQgiRbqwAfDG8HkvRyxOWZfIYjxGPx5SUZ0RsTnpGzXPYwp12X1md/YIZzp49m+OOO45LL71UWaVEGjJ0dgzVyVEwFGsG4asf55OZq2YoVnVEdiGESDsGfDlc3XNbsWydyJDuxDI0JeExVM5OJNxp9x7YtGkThYVNb9l+97vfZdWqVTzyyCPKKibSizdkM/bxMEadgrdiLZMVT/4Zy1Rzi015RHYhhEgzvjr45t8K8IXUdJw8hkHfo8coGzlROTuRcKfde6Bv377J4djGBg8eLHftOrGYD74cbTR52+lg6brB4LMmoxtqIp6rjsguhBDpxgzAurG1WD41U3ZZMZMPVjxB3FITdkrl7ETCHelai9QYOqXHeNXMPKHr5Bb1VPZWrOqI7EIIkXYM2D4oquytWF3X6dbjeDRV52GFsxMJd2QPiJT46m3GPhbGqHX/bcyyTN54/F5iUUVDsRKRXQjRyflq4ZuPFOCvUzQVo8egZ78T1X3BVjg7kXBH9oBIiemHT7/hxQq6P2Q8HoOR35qG4VXTE1MdkV0IIdKNGYTVZ9cQDagbin1v+V+VDsWqmp1IuCMdO5EaQ6eyj6FmKFbTycwrQNPVHH62AVsHhZWFARBCiLRjQFlf8yCjzzan6x76HH2KuqFYL5QONJQEsRfuyB4QKfHV25yqcCj29UfuUjoU+9nokLJnT4QQIt34amHSI4UKh2I9dOs5WOGzzjqbR3lBhmI7nOwBkRIzCGu/6cfKVDEU62XM96/C8Ckaiq2DiY8WyFCsEKLTMjPh7fMriWYoGoo1o6x89c9YqoZiQzZjnghj1MtQbEeTjp1IWUzh7GqJ5+vUTFKoOiK7EEKko0hQTacOQDcMjhkyAV1XM9ShcnYi4Y7sAZESXxhG/V8Uo979iSUej/HmE3/CMqMKakYyIrsMxQohOitfPZz9r3z8igIU67qH/G5Hoyt61jkxO5GakFjCHdkDIiVmEN77rpqh2MyYn7nMJSPqV1Az9RHZhRAi3ZiZ8Or3KpQNxWoVEd5bdC96jZov2CpnJxLuyD2OVvjwESrbRcwfRI852B5A1/DEHOKNlw1wdNAcjfjeiRQ8MYj7NLAdPFaj5TjEPRCpKEe3od500GwHzQbb0NDiDpqzbxnACuotrq+rL0ePgxZ3cDwaesxGt0gsWw6O1mhZh3B9BR4L6iM26BrgEDe0RDvMRDvq6srxxIC98wF7YhD3gh5zMMsrMEI69ZqNx9EJRyrQbPDW29jeRPvM6gpiftBsh3BVOXEjUb9wdTmhyB60OGgOhMM1RMkmWlZPLAx6PPF7sz1gVdUADlFTS7RHA8ezt8xIJY6eqJftIbkccWD1iDih2lq8FTY44AvrxA0HdLD31GAZDkZUwxPTiHsb2qcRNauIexwMU8PyJfaFHk+kCVdVotuJ4WLNBj0GmqahxUF3wAxXo8chFtKwDZLts41EmyKRKmyPg24BWqLODcuh+ko8VqIsxwP+kIat72tTLFSNo4O/Xsf2JPahx9SIGw6haCWGpcPeaZuNmIa1t01GTCMUqQQHDFPD0Rz0uJZsU6y6Gt3WiJpaok02e/cTOJpDyKxMpLf2tYO9bYpUViX/PowoaLaGs7dNjgZmqBqPpWGGE+s9VmL+yLjhEK2pwtb3/d4b2mSYGpbhEKqrxIjpaHHwWE33k11Zg+V1MCIaHksjvnc/aTaYGS3sp3jiuNXiifaFwpXoloavhf2UON5odrzZWuLY2X8/NT72onsSbfLEwDCb7yezvhojphGNasl2m0EbRwdzTzWW1wYbDKvlY8+I6S3up3hNDXHDwRvWku1wSHz2/vtp/2MvUluFozmJ421vWxv2k6NDvLIGW0/8/XliGnHDxvI3308tHXtmRTVoNNtPrR17tsdJ7qdodRVxw2lyvDVetspa3k+6BVZdNXbD35AGMX/iXLv/fmrp2IvWVqGh4a/Tm5wXWjr2NAdiwX1tCoUr0ex958nGx57HTPwu999PDcde4tyhEQvv+/017Kfoniocbd+1xNb37qco+EpDmDkx/GGt0Tkw0abk8RbRQE+cr8yMvftmTzWWkTg3GrHE8eatgWlM4+NoPbHqenzhvcdYo+PNiNhEqyuwjUQ4k4brUH1defJBmobrU12kgk+HGFTVl+BYnuR1KFxdjm5BKGwf8PpUY9lg6E2vs3uvT8llL9TVlOONQn000cn1WBD3NrrO7l3W42B7NWzNQUPD9mqJa+7e9fVVu9Htpu1wNPCYDjjgNLrmOh4NzXKgUd1tHeIBHT2WaEfiWuzgeMC01LwceDCkY9eKa7iGrv+J4UvhObCKEX7y10RYO6cAT9ThhDsr+OB3RQRKLQYtqOTD3xaSuTVG/4XVbPlONgNfzNqbs+0dH/fDh78tovsrdXhrbLZ+J5ue/60F4LNTMjnmJaBIZ9f4LI56vIoun7b1EGzDZya+nZnZOpsuyaW+j5dht+xmw0/zsLplMu5ujXW/yiTu1xg+t5y1cwoY9L97CFY05I+1WF7Duo++65AV91GwOpM1P4CeX3nJXpfJO2eHGfBlJjm74O2+OrdzO79+5bfk12fRVEGLta/Ptvj0mDib+9dw8pIubBoSoqS/ydjn8vj05Do2H1XJpP/2Z+3ZdWRVGgx9O/uAZQKUdAvw0dDdnPlsV17+YQW55QYjXsvh9Yv2UFSWwdCPCnn7whq6bfFx9NpMciqNlMqN6w5fDvDw0bDdDH4ni0iGzcYTQwx7I4eqohgf96lkzMoelB1ts31QhDOfykd3tJTKXnpOHRNe7sdr36/A8jpMeKKApdPKMWIaZz2VzzMX7iGnxseZz3alqsiicIcvpXJru1i8NL6SAV/mUlSTw5qzahjwYQaBkM660+oYsj6R94vTLUa/2IXcPftPCddy2duOCZNTksNHQ3dT2wXO+L881pxVQ1WRxZlPdWXlt6oIeWDK4qNZc0Y1I97ITalcW3NY8qPyZvup//oMVp5fRc8vAnTf7Gf5mEoGbszjhI9bKqflskv6RKksbr6fGh97Z73Wh4+G7mb4+jyyq1o6lTYv+/2zqqgpjDNp8dE8c+HnZFV7GPN8lxaPvdGruuOLtfTGYvNyK7qZhHLjzfbT/sdeWY5DzGtz0urWjoOm6ysLYqy8oKrZfmrp2Jv07NGtlNm8bMtjU9s1ntxPRV/04K3Td9D30yBdyrzNjr3z/tsfj9PaHfmmdX7j23s44a3sZvuppWOvOieDgoq2Hh7eV3bc4/DSpeXJ/fTfSYn9NHx9Hm9+p7LJsTd8eQ7dthWmVO62Y8IAyf006r1iKvLD7DgJTnwtl139oolj74Uu5FWmVmaDhv00afHRLJr8BYGQzllP5fPCj3eTXe+lH/34smcFBdUeRr+0/7kYEuf35uf6r07NJHs3bLssO3l9+nhc4vyev93DjvOy6fPvGmI5OjkfZpJZodH0WrG/xGfsOMdD6ZlZDLmjnE0/aHp9inQzOPHGMtb9Kh8nN8xp8w9U5j4Vw/xk7Irx6cx8uqyLUPRWiM+v6krB6yEKP4fN/5NN0VshMrfGqBnoo+9/alMqN1Lg4ZNf5nP036qoHOKnYlSQYx7YQ9lpGew+Rs2UmQdDc5y9t2dEUk1NDYW5hfzwjn/iy8pCi8RxvDp4NLRwHMevg95o2dDABieQ+CarRW2coAdsZ99y3EEzbRyfTu3WbegWZPXqmVhvOYlyLDtxZ8CvQ8xGA+wcb2LZAceno8USXy+q9uxCiznkdOsBXh0tEgfTTixHbRwPYOxdNjRqKnahmw5Z3XuAJ3HHzvF5mrSpevdO9IhNdu9eoIEWsXECOlo4Tt32Hdh+nZyC7mhRm+raUrAdcrsU4wQS7avbtRMrMzFdWO2uHdg+jdz87tTu2kl1bRk5uUVgw55PPuPsf+Xz7g8dzFzQ9t65dwyIlFfgaBDMz0ePsfdbEGBDbX05jgeyswqS63UTjDCc8hdY9p1K9L55aA54Q+z9lgfRsj3EvQ4ZXfKT364h8W24JlxO3AM5WQXE/YnPSdxlhVBF4q5ooKgg8U3bSrzuocUT32rr6ivQ4pCZk4/tbXonSLOgNlSObeytr5Zonx5LfCOsq03cHQ3mF+B4wFtHkzbV11Xg6JCdkZ9sh8dMtKkmVI5hafiL8hPtMBP1bViuCZWDnWiToyfq0tCm8J4K9Dj4C/OT7Wiou6Mnfh96HDJzCxLrrb1t8kJ4dzkAwcICPJFEXsdDcj/V1ya+dQfy8pust70QqizH9kBGfkGyHeiJuxBxL9RXl2OYGv6CxD5qvJ+iu/cQ9zlk5OQn28HeuyOxrBb2U6M2aTbU1iXuGOQEC5rtp0hFBQCB/Pwmd4IcLVH3/fdT42MyUpZoU1Z2AUaUZvspVFOBx9TwF3ZNHm9mRsMxWYHlc8jMLUi0tYVjz4gmPnf/NkUqK4gbkJmdn1zvOICn+X5qON4ajr366nIcIDfQ6G+oUZuiuyuwPRDsmo/HTDwQb/tb2E8tHHvRkgrQabafWjv2bO++NoUryol7E7/LhuOt8bEX29nyftJjUF9TgeOBrMx8HD3xMpUeb76fWjr26ivL0TQt8XfWeMSlhWNPc8DK2NemmvpyNDtRZ9tHk/2kR8Esb76fGo69urrE7yKYm5+cMadhP4V3l4MGwYKCJvtGj0F9VTm6rZGVkZ94pril462ga/KOXSxzbzvKEh28zLy9vwM/aLsjLH3sdiZc9hucLgHy/PnYfj1xp8sC26eRk9+dul07E8tdi5PXp+qKneBo5PTulbw+1W3exgl37mHLvOOIFwUS1zsNanftQDMdsou6H/D6lNm3F/gS1xzH1/o1t7psB546m+wePdq+5sZsnIAHR0ucu52ABywHLW7j+D3U7NiOZpO45sXs5DlNC8WbXXMdr55sEw3LHnCyvGjROI5H29umOI5Hx4yFeOTqyVRXV5OTk9OuPohbcseuFSYmTpaBE/QkDpK9WltO0hqt17V9y559y3aGB7tR/n09a8++5WCjZa+eXHa8+761Ol4N9v7fCXgg4Gm1jna9jh0AJ6v5Lm+c3g7oe4dqG9Uvw0h02D43cXrqOJkGdizxuXbevrtBVs7ecgwN27f37pOhJ5cdY++/tk0JJVj+QuJ+HRo9atcwdODz773YNa7n3hucdqMvQrYPTD0RkT2cFSdz7yiR2eiGXTQr8YcZDyR+GsQDEN/bqUx+lr7vQuXoEN/763Y8ezuYjVixRF1jLX3R9YNttlDfRstx774yG5cR90PM2juEkt10PQARsHwOfm2/9Q3Lob3taFjvhb2j3cQCe4dsW3u8MZwYDmqop2PsOz4bv5zS5Pe4tywr6mD5wMhooV6N2+1rnhf2tsmTeFyhcfnJ/Rfc1w7Yt9zafmq8bBst7yczmGidt4XjrXHdk+Xst/9g7zHYQpusiIPlczD2tqVxmyzf3t+q3vqxFwsm/g72F43ufUyjlRtNjffT/see3crxliw7s+W/v2b7qYVjz9p7bLW2n1o79hzPvt9l4+Ot8XJr+ynuh1gLf4d2o5t7bR17ibKcpn9nrRx7SQ37qX7vF5eGfdb4ePNDNKP1/WSZe9uT2Xxbq/tPg4IdPsp6msRaOC8kj7dg0/XQ6HjT9q03fD6u5mq+MnzEPGDl7vvghqf4nCwjeV53sr0tXocark9Wps5X03Kga+IX4uyNZ2fvPcc7OYnGtHV9aoiBd8BrrqYRz/bgZCTq7DT6PTZZpoVlQ8Mx9rbJ0Fq+zuY0Wk7h+u/4W1iO0WHkaXOREqPe5qgnatBr3D8YG4/HmM98ZfGTVEdkF0KIdOMLw8hXc/BH1Fy2NV2nmGJlMwBh6FQfH5C3YtOA7AGREivXYM3virC7ug8WZ3j93MZteH2BAydOgeqI7EIIkW7MbHjxx+XJu4huxcwI13M9MVPNQ/5GtcWJN5ah71H0hV0ctA69Es6bN49Ro0aRnZ1NUVERU6ZMYcOGDW3mefTRRxNvJjb6CQSadhAcx2HOnDl0796dYDDI+PHj2bhx46FsSudn2uS/G048x+eSbdtsZjO2HT9w4hSojsguhBBpx4JeG/yJN50VMLw+fsNv9gaLd8/K1Pn0qi7YOTJ00tE6tGO3fPlyZsyYwTvvvMPLL79MLBZjwoQJ1NfXt5kvJyeHXbt2JX+2bNnSZPtdd93Ffffdx4IFC1i1ahWZmZlMnDiRSKTjXj8+0hkRmz6La9EVTBdjx2M8wRPELXUPIaiMyC6EEOnGF4ETVmRjmKou2xoBAqiaAQgdYjm6jAOmgQ7dBUuWLOGyyy5j8ODBDBs2jEcffZStW7eyevXqNvNpmkZxcXHyp1u3bsltjuNw7733Mnv2bCZPnszQoUN57LHH2LlzJ4sWLTrELeq8rByDNbcXNXlZ4mAZXj+zma1uKFZxRHYhhEg3Zha8+KNyTFVzxcai3MRNWDE1AYqNWpuhd+5Br5IAxR0tra6E1dXVAHTt2rXNdHV1dfTt25fevXszefJkPv744+S2TZs2UVJSwvjx45PrcnNzGT16NCtXrmyxvGg0Sk1NTZMfsR/TptvrdcqGYjewQelQrMqI7EIIkXYsGLA2qHAo1s+t3IrhVTMDkJWt89GvumJ3kaHYjpY2HTvbtpk5cyannnoqQ4YMaTXdoEGDeOSRR1i8eDFPPPEEtm0zduxYtm/fDkBJSQlAk7t4Df9v2La/efPmkZubm/zp3bu3olZ1HkbUoftrIfSQ+7NK2Gvyr8xFRLzqvtkFwmlzKAshhHJGBI5em4mh6N0EM+iw9pxwMpSMazZ4a+x9sVJEh0mbq+GMGTNYv349Tz75ZJvpxowZw/Tp0xk+fDjjxo3j3//+N4WFhTz44IMH/dmzZs2iuro6+bNt27aDLquzsrI9rL21CLuLgqHYoI+R3/8xRoaiuWLr4dTn8mQoVgjRaVlZ8NJl5Ykg1yrKs03+7+XfYdlqeopGvc1xD1QpCYkl3EmLK+HVV1/N888/z+uvv06vXr3aldfr9TJixAi++OILAIqLiwEoLS1tkq60tDS5bX9+v5+cnJwmP2I/pp2YziyqYig2Ttmmz7DjioZis+GFH+9WFgZACCHSjW7CsasylA3Fev0BvvX/7sLrV/Oss5Vr8IGikFjCnQ7t2DmOw9VXX81//vMfXnvtNfr379/uMuLxOOvWraN79+4A9O/fn+LiYl599dVkmpqaGlatWsWYMWOU1f3rxjCh4L0wetR9Z8yJx9m2/n1lz9hhQdEWH8gXRSFEJ6Vb0GdDUNlQrGPb1JaX4NiKvhBbNrmfRMCSL9gdrUM7djNmzOCJJ55g4cKFZGdnU1JSQklJCeFwOJlm+vTpzJo1K/n/uXPnsnTpUr766is++OADpk2bxpYtW/jJT34CJN6YnTlzJrfddhvPPvss69atY/r06fTo0YMpU6Yc7iZ2GlaWzoc3FyXmrnXJ4/Ux8vxpyuInqY7ILoQQ6cbKgKXTK9QNxcZM3v7n/2LF1A3FqpqdSLjToa+vPPDAAwB84xvfaLL+b3/7G5dddhkAW7duRW805UllZSVXXHEFJSUl5OXlMXLkSFasWMHxxx+fTHPDDTdQX1/PlVdeSVVVFaeddhpLlixpFshYpE6P2PR+rpaqn3SDgLvDxo7HKfliPQNGjUP3uD8EGyKyg8wqJoTonHQThi7PZv2YWiXlef0Bzr3mViVlwb7ZiXJlKLbDdeh10HEO/DbOsmXLmvz/nnvu4Z577mkzj6ZpzJ07l7lz57qpHjVlu/AGggdO2E61FaUHTqS4jFTSt5UmvHs3OZ/Cjh27sLL0FtM2Xrf/cn1lefL/9dUVlHyxnm5HHYdnv7t2oZrKVuvQ2jbdgqL1cbb2aTlMzcGUeaBtbrdL3sOTN13rdSTmTdd6dba8rW3zhaBwWx7mcdXYLfSd2lumbdvUlu8iu6B7k5sn+zvQuT65rrSU4k+g+lQbfHqbaVMpT2X6Q11OS2KR8IETHSIydiVSYmXAihmJIVm3PIaXY0+f1KxTd7AMU+fED7rhUxaRXQgh0ouZAc9d8BVmQM0zbHY8xsevLcaOq5kByBeBY15JzFIkOpaMXLUhp6g7vmDmISs/t1vPw15GKulbSqNHbPr9q4aKGd0gw2gzbeN1jZez8xOxBWvLS9j+6RqOGXMOHqPlQzAzr6DV+jXblgdLflyOTm778inY5na75D08edO1Xkdi3nStV2fLu/82PQIjX85h7bgaAorKPOeqOcnlhvNzY62dy1taVw2sub31a8zBXntUpj/U5TRmhtueGvVQklscIjUWZOy00BW8yOo4DjVlO8FR9TaW2ojsQgiRbnQbcioMNEWnTduOU7ZZ3QxAKmcnEu5Ix06kxM7SWf/rAuxs9zd5PYaXIWdNVjcUqzgiuxBCpBsrA16/aA+WoncAbcvik2XPY1tqvhGrnJ1IuCMdO5ESPWIz8KE9oOCP1qi10P7+AVqtmhOA6ojsQgiRbvQIjP5vLh5FX2ADlp8b6/8fAUvVXLHqZicS7kjHTqTGBm+dg67iLntcoy5eg26pmaNQdUR2IYRIN7oD/rCubCiWWJxPIh9BTN1QrKrZiYQ70rETKbEzdD75ZT52lpqh2KlMxWO4D3YM6iOyCyFEurGC8MaFleqGYuNx3uANZVM7qpydSLgjHTuREj1kM2h+hZLnJ+Jxi2d5lril5jV71RHZhRAi3egROHVxF4yomvIMr49ruEbZDEAqZycS7kjHThzxGiKy63LHTgghUmLHLVaxCjuu5hkWPWLT9+lqiMgzMR1NOnYiJXaGzoar87EzFAzFegwu4AKlQ7FF230Ycj4RQnRSdgDenlyFoncdsG2bj/gI21bzTJxuQe4GE91U8+y0OHjSsRMp0UM2x/+xAr1OwVCsFeNpnlY6FPvKJTIUK4TovIwwnPFMHkZEUXleH1dwhdKh2I9mF8pQbBqQjp1IjQ6xLA1bwRGjaRq55IKmuS+MfRHZVYUBEEKIdGNrEA3aOIqu2vG4xXKWE1c4FHvUY1VKQmIJd6RjJ1JiB3Q2Xtm1yXRiB0v3GExgAh6PmhntVEdkF0KIdGMHYNV51cQVhYlzHJutbMVROAOQqtmJhDvSsRMp0etshtxRjq4gqHDcivE4j2NZam6xqY7ILoQQ6cYIwZlPdlU3FGv4+CE/xDDU9BRVzk4k3JGOnUiNAaEeBrbHfVGaptGHPmiamsNPdUR2IYRIN7YONfmW0qHYpSxVOhSranYi4Y507ERK7IDOV9O7KBmKjQd1BgwYjaOgLDgEEdmFECLN2AFYfU6NsqFYy+ewK7cKy6foLVaVsxMJV6RjJ1Ji1NkMvW03eo37N1ljmsljkb9iaoqGYhVHZBdCiHRjhGD8P/LxhdSUp2V46feTqWgZat5iVTk7kXBH9kAbasp24Q0ElZdbW1F62MtIJX1baeprd1PeF6orS7DDeotpG6/bf7m+sjz5/3B9DV2KexOurkT3NB3bDdVUtlqH1rYZURjz32yWn7G9XfncbHO7XfIenrzpWq8jMW+61quz5W1tm27CzmIfNZFKAi0kaW+Zccviq9VvcNTIM/AYrXcFDnSub1C/o5ThT8OXV9rYGXqbaVMpT2X6Q11OS2KR8CEr+0Dkjp1Iie2DDZMSQ7Ju6bqHov7HNuvUCSGEaJntg/dHlWLL7RhxAHKItCGnqDu+YOYhKz+3W8/DXkYq6VtKY9TZDP5DOVvvbDoXYEtpG69rvJyd3w2AmrKdrF3yL8Ze/LNWg2Nm5hW0Wr+Wtq38Tjk+ctudz+02t9sl7+HJm671OhLzpmu9Olve/bcZIZiwKJ9lF1bgVVTm8HO/l1xuOD831tq5vLV1G2e2fo052GuPyvSHupzGzHC98jJTJXfsREosH5SPCmL73d9l0zweeg85CV1Xc8dOdUR2IYRIN7YBWweFsRS9PBGPxfjwpaeJx9TMAKRydiLhjnTsRGp8OjvOywZ/+g3Fqo7ILoQQ6cb2wWejQ+qGYjWNQLa6GYBUzk4k3JFdIFJi1MYZflMZepX7N1mtmMmqf/8Vy4wqqJn6iOxCCJFujDqY+GiBsrdiPYbBoLET2nxxoj1Uzk4k3JGOnUiJ5dfYdVYGtqIpxY4++Sx0RScU1RHZhRAi3VgB+GJ4vcKhWJPVzz1OPKYm7JTK2YmEO9KxE6nx6ZSemQU+FUOxOvm9+it7xk51RHYhhEg7Bnw5PKxwKFYnr3tfUDQDkMrZiYQ7cikUKTFqLEb8pgy9UsVQbJQVT/4Zy1Rzi011RHYhhEg3vjr45t8K8IXUXLY9hsFRJ7Udw649VM5OJNyRjp1IiRXQ2To5GzvT/R+tN+7le/5LMCw1Ec9VR2QXQoh0YwZg3dhaLJ+aObvsWpNP5v8Fu1bNUKzK2YmEO9KxE6nx6VScHFQyFOuzDIZWHo0vrmgo1oCyXiaWfFEUQnRWBmwfFFU2FOuL65wYHYovrqYbYBtQPciH7VP0lq04aNKxEykxqi1G3FiGvkfNUOxsZhNTNRTrg4/G1WLLUKwQopPy1cI3HynAX6fmsq17DEYzGt2jbih2y9RcCMg37I4mHTuREitT56tpOdg57v9oPR4vV3M1hqGmJ2aEYMJjMhQrhOi8zCCsPruGaEDNUKwVM7mf+7EUvRVr1NkMu7lMhmLTgHTsRGoMnerjA2C4P2Q0XaeYYjRd3RCAyojsQgiRdgwo62sqmwhU93g4gzOUBYpXOTuRcEfumbahpmwX3kBQebm1FaWHvYxU0reVJrq5lDEPaXz0Kwsr12gxbeN1+y/XV5bv+39lGddzB+N3/4L4fi9QhGoqW61DW9s+OK4SQmC3kORgy2xrm9vtkvfw5E3Xeh2JedO1Xp0tb2vb/HU6k/5VyPOTvqSlWUjbW6a/TudUhvFqTQVRu/W7gAc61yfX1e7ms1Mgu2rXAdOmUp7K9Ie6nJbEIuFDVvaByB07kRIzE1b/wMHKdH/IeAwvv+E3eBQNxfpC8O1/H40vIoezEKJzimbYvHrmFiKBuJLyrJjJH/iDwqFYOP3exCxFomN16B27efPm8e9//5vPPvuMYDDI2LFjufPOOxk0aFCb+Z5++mluuukmNm/ezMCBA7nzzjuZNGlScrvjOPz2t7/l4YcfpqqqilNPPZUHHniAgQMHtqt+OUXd8QUzD6ptqcjt1vOwl5FK+hbT2DaGzyaze09oNITaUtrG6xovZ+d3AyCWVUGAABldfHhzWn6DKjOvoNX6NduWnYjI7uuaS7A9+RRsc7td8h6evOlaryMxb7rWq7PlbbbNBiu0h4yMDCVlGnqc8zmf8vxCrFxP8vzcWGvn8hbXmTa7zgqR2adXi9ETDvraozD9oS6nMTPc0n3Vw6NDb3EsX76cGTNm8M477/Dyyy8Ti8WYMGEC9fWt/0JWrFjBxRdfzOWXX86aNWuYMmUKU6ZMYf369ck0d911F/fddx8LFixg1apVZGZmMnHiRCIRmXPqYBm1NkPv3INe5X66mLhlchM3YcXUzBWrPCK7EEKkGV89nP2vfPyKAhTruodBDFI2A5DK2YmEOx26B5YsWcJll13G4MGDGTZsGI8++ihbt25l9erVreb505/+xLnnnsv111/Pcccdx6233sqJJ57I/PnzgcTdunvvvZfZs2czefJkhg4dymOPPcbOnTtZtGjRYWpZ52Nl63z0q67YXRS8FWv4uJVbMbx+BTVTH5FdCCHSjZkJr36vgmiGmrdiY2aE27hNWdgplbMTCXfS6kpYXV0NQNeuXVtNs3LlSsaPH99k3cSJE1m5ciUAmzZtoqSkpEma3NxcRo8enUyzv2g0Sk1NTZMfsR8bvDU2qDmnECECOErKUh2RXQgh0lEgrO6S7TG8TGMaHkPNDEAqZycS7qRNx862bWbOnMmpp57KkCFDWk1XUlJCt25NnwXo1q0bJSUlye0N61pLs7958+aRm5ub/Ondu7ebpnRKRr3NcQ9Uode4H4o1iXA7t2M6ir7ZKY7ILoQQ6cZXD6c+l6dsKBafh6K8vuBTNxSranYi4U7a7IEZM2awfv16nnzyycP+2bNmzaK6ujr5s23btsNeh3Rn5Rp88Lsi7K4K3mTN9nPmj29Ayw24Lwv1EdmFECLdmNnwwo93E81SMzIR1iPcWn8TYV3RUKzC2YmEO2lxJbz66qt5/vnnef311+nVq1ebaYuLiyktbRp7prS0lOLi4uT2hnWtpdmf3+8nJyenyY/Yj2WT+0kELPcnFce2qa8sx2kjdlJ7qI7ILoQQaceCoi0+cD9oAoDh9XHqxTMwvGrCTqmcnUi406EdO8dxuPrqq/nPf/7Da6+9Rv/+/Q+YZ8yYMbz66qtN1r388suMGTMGgP79+1NcXNwkTU1NDatWrUqmEe1n1Nsc9USNkqHYuBVj9fNPKIufpDoiuxBCpBtfGEa+moNfUbxOTdfJLlA3A5DK2YmEOx16KZwxYwYLFy5k8eLFZGdnJ5+By83NJRhMzPgwffp0evbsybx58wC49tprGTduHHfffTfnnXceTz75JO+//z4PPfQQAJqmMXPmTG677TYGDhxI//79uemmm+jRowdTpkxpV/1k5olG26wK3vh/kB3bDaUHjkbe1swTZiTESZMvxQzVYYbqmpSRDhHZU9nmdrvkPTx507VeR2LedK1XZ8vb2rZ64P8urAQbMiqbj060t0zLjPLmE3/i9GnXYvhaj1CQ6swT+89O1FbaVMpTmf5Ql9OSr+3MEw888ADV1dV84xvfoHv37smfp556Kplm69at7Nq1b4qSsWPHsnDhQh566CGGDRvGM888w6JFi5q8cHHDDTdwzTXXcOWVVzJq1Cjq6upYsmQJgYCaZ7q+liwo/ggw1QzF1laUYisailUdkV0IIdKNbkG/r3LQFQ3Ferw+xnz/KjyKhmJVzk4k3OnQO3aOc+BwF8uWLWu2burUqUydOrXVPJqmMXfuXObOneumejLzRCNGjcUxr+xh88Ru2Hm+NtMeaOaJ6rIdfLjkKfoMOQnD13JnuyMjsrdnm9vtkvfw5E3Xeh2JedO1Xp0t7/7bfHUwcg1UHePFm9d6SLBUy3QcB39mNobPj6Zp7meeaGV2orbyH0waN+kPdTmNfW1nnhBHDivHYM3tRU06dQfL8PoZe9HPWu3UtZfqiOxCCJFuzCx48UflmIoCFFtmlJfmz8Ey1cwApHJ2IuGOXAlFakybbq/XKRmKtW2biu2bsG01Q6eqI7ILIUTasWDA2qCyoVjD52fi1XPbfL6uPVTOTiTckY6dSIkRdej+Wgg95P6sYsctvnj3NWxL3Tc7lRHZhRAi3RgROHptJoayMHEOlqluBiDVsxOJgydXQ5ESK9vD2luLsLuoGIr1Mfo7lyv7pqg8IrsQQqQZKwteuqwcM0NReabJqw/9DstU01NUOTuRcEeuhCI1pk3P/9ZCVMHXMTOO9vpX2FFFQ7GKI7ILIUS60U04dlWGsqFYryfAVafehdej5llnpbMTCVekYydSYphQ8F4YXUFnzBNy+GLTuxj1isKTKI7ILoQQ6Ua3oM+GoLKhWG+9TcbbpXjrFX0hVjg7kXBHOnYiJVaWzoc3F2HneF2XZRg+ruEaZVPZqI7ILoQQ6cbKgKXTK9QNxVom85mPZakbilU1O5FwR15faYPMPLFP/a5SBr4CJVNt7IDuauaJ+poKVvEFdRX9iVlakzLSISJ7Ktvcbpe8hydvutbrSMybrvXqbHlb26abcPybPj4Y0fJ5ur1l+kM6t3Ebr4YqiOp1LeRKSHXmif1nJ2orbSrlqUx/qMtpydd25glx5NAtyN+Ekuc7HNvmIz7CdtQMxaqOyC6EEOnGsKD7rkwMS81l27ZtNrNZ2QxAKmcnEu7IHbs2yMwTTa2b03zbwcw8YXXZw2SuYGWBg5ndch06MiJ7e7a53S55D0/edK3XkZg3XevV2fI225YHr04rxyBXSZmaHeEJHuSMrP+HLy/geuaJ1mYnaiv/waRxk/5Ql9OYzDwh0p4esTnqsSpQFMduOcuJx9XcYlMdkV0IIdKNHoGRL+fgUfXyhC/AbGbjVTQDkMrZiYQ70rETqbEgY6eFrmD01HEctrIVx1E3BKAyIrsQQqQb3YacCgNN0WnTtuNsYIOyGYBUzk4k3JGOnUiJnaWz/tcF2NnuR+89hpcf8kMMQ803O/UR2YUQIr1YGfD6RXuw1Nxgw45bPMdz2IpGTlTOTiTckWfs2iBvxe5Tv6OUExbD5h8reCu2uoKlrEarGEZsvweBD/ZNsv98pzJxV7GFJPJW7Nc3b7rW60jMm6716mx5W9vmMWHUkkzeHrtTSZn+ep3ruI5X6yuIarWt5k35rViznDdnQnZU3ooFeStWHAF0JzF1l4p5AB0cqqnGcdTMUahbcMKHBTIUK4TotDQbAhF192JsO86HfKhsKFY34ajXkaHYNCB37Nogb8U29dn1at6KjeWV8y39Qt4pTMx/2JL2vPVlhGDAJodtI+N4D8Gbr/IG4ZGfN13rdSTmTdd6dba8LW1783vl+BS9FQsmb/AUQ3OuxJfnc/9WbN3/b+/M46Oq7v7/ucusmUwSEsiCJAFkFwiLxIAKYhQRKS6PWgWEWq222EeKT11+Ljx9qrVP7WMXxdraKm5VsRVRQZBFQBDBBIKyyr5mJ5mZzH7vOb8/JhkzZDKZydyQZPJ9v168uDnn+/3O+Z65c865Z/lehpw9NVDmZoUNZE+nYi8cNGNHRIXoYhjyYq0m+yfcegUvDlsGr9GvQcm0j8hOEATR1RA9wKQVqZC9GhlM02PUQw8AGp1i1fLtRER80MCO6PaIPmDUpmSIdHiCIAgiKpiq4OQ32zU7PCF6GPLetwEe2hPT2dBSbATo8ESzPHc1Su4Akh2VgKPtDbWRDk94XQ70HTYGHoethY32bCrWu4Dep9LgG2YDC/PwSYcneq5uVy1Xd9TtquVKNN1IeWuvqgO82hwSU/0+nNpXitSsfpAivLc72sMT7upqWPcDZ86UQ7GIEWWjsaelfEfbCQcdniC6PLIbuPTVwJJsvDBVwdGSzVAVbZZifWbg4x8chc9Im3YJgkhMZA8wbXU+ZJ823bak06Ng2m0RB3WxoJiBLxcgZFBHdA40YxcBOjzxPaKHQU2pR3JmNmCWI8q2dXjCUVOBpNR0JKX1hiSHvwVj2RzcFJG9bLIdRjo8QbrdqFzdUberlivRdMO1c74kP0zWFE3aOVVRcKLsS+QVTIQky3EfnhA9DPnL7KhdkBnSR0TSb49MPPIdbac5nXl4ggZ2EaCl2GZ5zmrsvEWbpViP04HMi0fA46hvYaM9SxSyB0iuToW33gaVlmJJtxuUqzvqdtVyJZpupLzPr6gDPICqxVKs4kf1iUPIyBsESW79wEMsS7Gm04CjvByMlmJpKZbo+sgu4LK/AmJD/MudqqLg0LZ1mi3FKkZg1Q3HaCmWIIiERfYA13/SH3qPRkuxsg6XTJ0VcVAXC4oZ+Oo+hAzqiM6BZuwiQEux3yN6GNwX2ZGcrc1SbFrffE2XYgtXpqDkGhstxZJutypXd9TtquVKNN1w7Zyjtw+GVO2WYg/v2ICLJ0zVbCl24Bv1qHqIlmIBWortstBSbLM8ZzV2z9BuKTYj92JNl2L1zhS47bQUS7rdo1zdUberlivRdCPlfVGo7VJsQ20lnHXV2izF1lRDsgGOynIwMy3F0lIs0eWRXcDEJYHo4vGiKn4c+GIVVL82gecUI7DmuuNQ9LQUSxBEYqJ3ATM/GqDpUuzQy6drtxRrAr6+GyGDOqJzoG+AiAomA7X9A//HiwARmX0uhgApfmMAZC9w9bpczcIAEARBdDUUGSjPdkKRtXmAVX0Kjm75HKpPqwDFwNg3tQmJRcQHLcVGwHGuCjqDUXO7zZclL5SNaOQjyTidNdhZBCQ5ATjDyzZPO/+6+VKAVO/Bvd/egE/6HYHLHPoCak9Dy6DFbeXJPhFMNcPTYAs7a9cem23lxZtPuhdGt6uWqzvqdtVyJZpupLwtw2yAB2D2+G3qHRy53xnB+9vhShZa1W2rrW/CW18DpqbCUVcN5o4sG409LeU72k44/F5Ph9luCxrYRUDxeSDrDQA4FJ8POoMRnDEo/sA1YyqY4oesb7pWIOsNYKoKxlTIOj2YqoAxBlmnh6ooAA8MPJiqQPX7Iel0wdOhkqyD6vcDggBJlgNLlYIISZah+H0QRRGiFLhmTIUoSlB8Xoiy3HjtgSjrIIoS/F4PZJ0egijC7/WAcw4gcLO15hMAMMYa/Q71SW5Qcfm/U7HrJ4DPoED1+yA180lq9LXpc1Tl+6dAVfGDqWrw2u/34gW8gL6eKWDGQNlVxQ9BlIIynDEIogjV74MoyYFrxQ9RCsgofl9wCcEjeLBq4t7Ah/l9kHV6cM6gKkrgmjEwFvj8pmtJ1oGxgIwky2BMBWcskK6qQT8YU8FUBSavH3pHQ+B7EiWoqgrJ44QoijA2eCEIQuA7UBWIgghRFGFvqIcgiEh2q4F0UYQoiFAUP2SfG4IgwuDwQJJkCIIARfFDkgI/ScFpgyRKSHIpUFUFsqwD5xyqqkDn94JzBqPDA1nWgXEWuMckGYwxiC47JEmGyekH403pAZ90Pg8YYzA3+CBJEtTGeonGJ53XBVVVYHH6IYpiTD7J7gaoTIW18V3DsfjkcNrBOYPVrYIx1uN9sjttECAg2a1CVZWYfLI11EMSRVjcatCPnuyT4LRBlmSYXIE2KhafRFcDJEmCyekD5wAzGuFIDuzJFiU58KouQQi2h4IgQJQCbV1T+93U7olN7VuYNjDQ1skweGVM+2w4Vl15EDyJQ1X8wTawqQ/hPNCWB9s9VYF0XhvIGANnKkTJiOtwPVbywwCEYPsdaANbacsb+6emz2xqPxW/Dz5ZxdZZ9TBIVoiqBFEK9E+MscB3Fmf/1LzP/b6v8kbV537fV/GQPvd8PyL1uaL4vU/R9bmdN3NJA7sIrP/bb3DFnAeh+H3Y9t5fcNXdD8NZV4PST97ClXMXwlZ1Bns3rMDEH/4MtaeP4fCODSi8+ceoOnYAp/aUYNzMOTh7cDeqjh9EwbTbcHLP17BXncWA8Vfi9N5SMNWPoZdPx6HtGwAAgwqn4sCWT2EwJ6P/2MuxZ8MKWPvkIPeSS1G2Zhn65A9BzpDRKP34LfQZOAzpFw3A9g/+gYsnTEX6Rf3x5bsvYcTUWUjp0xeb3/wjxt0wB0lpGfj81d+h4Po7IOn02Pjac636NH7WPDhqK3Fk+4YWPp05Vobduv0Y6ZyD09/sRsXhPRh6xfVBny6ZOguHd2yEz+3EJVNn4bttnwEAhl1xPfZvXgVRkpA/ZhIObVsHo2DCVFyJj3augbVvP6T3G4BD29ajd//BMCWn4mjpF+g7bCysvbOw7/OPkVdQhKS0DOz7/CPkjS6CIIjYvXoZhk25AZKsw551y/FfhkfxybASfFP2PkZfdxs8DhsOfbUeI6+5GbbK0zizfxdGTJ0Fe3UFzh4sw9DLr0N9xSlUHtmP/IIi1J46ivqKUxh46WRUHzsIZ30tsgePRPWJQ+BMRZEhA0dOfQcAGGfMwFfuKkgQMNSQijJPLTIkI4YZUrHBeRa5Ogsu1luxo+EUBuqtyNCn4JOGkxhrzECObMYHjuMYZ8xAL8mAVQ2nMC3pIqRKerxtP4KbLHnQCSI+cxzD9KSLYBQkLG84gdnWgahXfdjgPI3rLf1wTvXiS08Nbk7Ox1nFhZ2eGtxgycUJfwMOeOtwhTkLlYobJ/0NmJqUg/3eetSoHhQY03HAWw8VHJeZ+qDUUxO1T5myCV+4KjDCkIY8nSUmnySu4lPnadyW3B9+zmLyqdZnwxGfHddb+uGwz97jfdrvqoBRkNDf1BtfuCpi8mmT4zjGGzOQobPgPfvRHu9TSaNPHqbiS3dFTD6VKy5cauqNYz4HXFzBeGsOvrEwAAL6DivAyW92QDYYcdHwsTi+60skpaajd/8hOPL1Jlh69UZqVr9gu5ea1Q8HtqxGzpACGMxJOLx9A/LHTEJSWga+XfsBBl12NcymNPwP+ysG2afCIKdgz7rluKT4JqiKH/s3foKhV0yH1+nAid1fYeQ1N8NZV4MTZdsw/KqZOHf2OKqOHsCwK69HfcUpVB/7DpeMuhp/xWqc2+FG/8smo/y7b9BQW4VBRcU4vbc0bFve1D9lXjwCh7atQ1rf/GD/1CsjF7OPTMOfDEtw0ajx6NN/KLZ/8A/0u+RSpGb1i7t/at7nFlx/B+orTuHUnq+j6nMvmToLx3ZugdflCOlz+w4bg6Mlm5GUmt5mn9vvku99iqbPnXDT3RdmoBIGgTcNlYkgdrsdKSkpKLrtfhiSkgEE3qsn6w3gjEFV/IGnBMbAVD9kXdN1YIaIMRVcVRtnsVRwpobMaHldDWCqClNySmCWrvGJSJLlwBOcIECUzrv2+wJPdpIE1e+D2+mAKIrQm5IgSnLgicjvhSjpGp+OvJBkXeCJz+eFt/HotcGUFHyFzPk++TwucMZgSLK08KmhvhacqUju1QdMVeG01UKSdTAmJQef8hrqagBwWNJ6o6GuGgCC1x6nHWZrL6iKAuVUNWaXTsayK76Gx9T05Bp4Ave5nWCqAqMl5ftZOlGCIIpw2c5BlGQYLdbG2bvAc4noZbiqdDA+G7EbgsUASdaBcwamBmbmPA02MJXBnJIWMmPHGYOnwQZRkqEzmcEZD87egXP4PW4wpsJgsmDYrr0QfYFZTUkQoXCGBqZAEgSYBAkCBEiCAIWz4HWd6oUIASmSHn7OIEGAKAjwcwYXUyAKAoyCFJIuI/A0XMd8kCEgWdRBAYdOEME4hwoOD1fBOIdZlEPSm65tzAdZEGEWZHBwyIIIlXNwcLi5CpVzWES5MZ1F7ZOLK1A4Q4qoD5Y3Wp8czA8FHGli4N6LxSeb6gMDR5pkCPrRk32qV70ABKRK+pD7LRqfIt2TPdGneuaDThCRJMghv6FofLKH+Z0dHDkEXrMJoiTBba8HBMCUnBqcvWtq6/xuJwRRhGwwQRTFkLbO53ZCVRSYklNCVioE4fs20JCUDKYqwTaQqQqUxpkvndEUbN+a2jpPgw2cMZisTW0gg9mnQ/LmGtRPSoWSLEFvsjS25XLjCkvLtrypT/I4HVAVBUkpacH+yV/XgCu+6oevi+vAjFJgRsvvg9fpgCCK0JvMcfVPzftcn7upr0qOqs9tPgvZvM/1uhxgqgKzNa3NPleQvvcpmj6Xc44tb/8ZNpsNVqs1vkFJjNCMXQSsfXI6dI9dW/GPIiHFaCOaz4wko3cBVy3LwFf3Akoagkui4WSbpzVdi5IMszUNANBQ04Df4/cYZLoBojX0wIMgBv42WlJaLWeLvGRgw6QjkGGJTa+Nz/NIgX0padChNxMBOfRekNXAQC9VivyuxXD59W3oCqrQbl0xDt1IPkkR7LZlO5I/0ZQrHt1E9ClSXls+RcrraT5F+q20ZTtcmXL8HJUpvULkwrYtjfE7Y2mT9B4Rd2wfh+VX7gaSW8ZXbdpHF20baHRJuA7j8UnKEXjMarB9bk64thxAcEDZPM2pq8HXP3AiKS0nxEa8fY8W8q3baemHVnTmHjs6RkhEhaIHDhc4oWgwzhVFCTMxM7ifJF70HhE3fT4aep829s7Hei5yvCqCIAgASD5X32G2FZnhmwFn4JO1OcWqqn68iTehqtq8AUj2AFe92wuySxNzRBx06sBu8+bNmDlzJnJyciAIAj788MOI8hs3boQgCC3+VVRUhMgtWbIE+fn5MBqNKCwsxI4dOzrQi54Bk4EjBW5N5ngFUcQQDAk+mcYLE4FzVieY2DG7CjqysSYIInGw1NshMLVtwXbAZGDvxRWahJwCAmGncpELQaNhABcBe7oCRtNFnU6nfgVOpxOjR4/GkiVLYtI7ePAgysvLg//69OkTzHvvvfewaNEiLF68GDt37sTo0aMxbdo0VFVVaV38HoXeJWL6axnQN8RvS1X8eBpPQ1E0ClCsZ9g07rBm8Z2aI3AGS33ksAYEQRAAIKsMSTZHh9g2ukTcuXo8jB5tRnaiJGEyJge31cSLqgdKr7GDab97iYiRTh3YTZ8+HU8//TRuuummmPT69OmDrKys4D+x2czP888/j3vvvRc/+tGPMHz4cLz88sswm8149dVXtS5+j0LRM3w70QGfRkuxczAHkqhNA6X3iPiP9QXQe7XfMmqyOyGrFHCTIIjosNZ2zIOgT8+wY/hx7ZZiFT9ewSshoT/iQe8Cit9Op6XYLkC3nDQtKChAdnY2rrnmGmzdujWY7vP5UFpaiuLi4mCaKIooLi7Gtm3bOqOoCQOTgdNDvJotxeYjX7OlWEVmONO7HkzSfgBmqe+Yp2+CIBKTjtqTy2TgcG6NdkuxoohRGKVhOwxUXeTTrHxE++lWX0F2djZefvlljB8/Hl6vF3//+98xZcoUbN++HWPHjkVNTQ1UVUVmZmaIXmZmJg4cONCqXa/XC6/XG/zbbg+E9XbV1zYGS9SWtl4e3RE2opGPJMMq7JixagA23HYOXgsLK9s87fzr5pHPPfZ6PIEnMNL+A/hZaMRzr7P1gVSkvI0DTwNewBDmXbbttel1OoDaatSr4Z+QHSzyk26kfNK9MLpdtVzdUberlqur6XLbOfjqzsHra33qqj1tkskjY/bG8Xj30q3woOWsYKw2BY+MQhTi355d8KD1WcC22vpgmqcOX42pg9mZBjgjy0ZjT0v5jrYTDsXnbVuog+hWM3ZDhgzBfffdh3HjxmHixIl49dVXMXHiRPzhD3+Iy+6zzz6LlJSU4L9+/fppVOLEwWNU8WXRWXiN8c+KeYwMAy6ZCJ9Jm8MOeq+Mu7ZeCaNP2+cUQWEwutxtCxIEQTQicMBiD/POrzjx6hWsHfYtPHpt9iY3iB78yvpbNIjahOXQe0TMWn4x9LQU2+l0qxm7cEyYMAFbtmwBAGRkZECSJFRWVobIVFZWIisrq1Ubjz32GBYtWhT82263o1+/fjCnpndIHLsmtIidE6uNaORbk7GltsyLNo4dgGCcJE+DDbDGGKsuQp5oBA7lVkNIToLBkqyJTQBIrq2HVdS1K8ZVtPmke2F0u2q5uqNuVy1XV9L1uVXY0wPtnVbtHABU5dmgQ7ImNhljyBpeAFNqGkRRjCmOXbg0twKcGuqGoXcGdGGqK56+Ryv5jrbTHIpjFwdlZWXIzs4GAOj1eowbNw7r168P5jPGsH79ehQVFbVqw2AwwGq1hvwjQjE0iLj+1d7Qa7DlTFX82L16WfD9tPHCZGDn0NNgGp+Ktdi0f+omCCLxSa49p7lNo0vCnNWXwqTVqVhRRPpFA0IOH8YDk4EDhS6wyGNk4gLQqQO7hoYGlJWVoaysDABw7NgxlJWV4eTJkwACM2l33XVXUP6Pf/wjVqxYgcOHD2PPnj1YuHAhNmzYgAULFgRlFi1ahFdeeQWvv/469u/fj5/+9KdwOp340Y9+dEF9SzS8ZoatM+vgaxnwPGZESQ6+51UL9B4Rd3w2TrMwAE1Y6mlgRxBE7Jg8Xug82u6x8hhVfHrZXrj12p2K/eaz9zU9FTttaQZkDUJiEfHRqUuxJSUluOqqq4J/Ny2Hzps3D0uXLkV5eXlwkAcETr0+9NBDOHPmDMxmM0aNGoV169aF2Lj99ttRXV2Np556ChUVFSgoKMDq1atbHKggYsdjYprdMFoN6oDQiOxaPSzq3R4YNG6YCYLoOVjqHajL0vbwncuozSoHEAg7lTvqMs3eAPT924k0ePon4qJTB3ZTpkwB561voF+6dGnI3w8//DAefvjhNu0+8MADeOCBB+ItHtEMg0vE1cvSse0nHL7Wt7FFBVMV7Fm3HONmzYMcbjNGrPYaI7JrifUcBSUmCKL9JNnsqMvSbu+W0SPhho1j8O8pu6DFsTNBFJGapd1Bwaa3EyXJNLDrbLr94YmOhMKdNMtT6vDJ9fUQfVagru0j8JHCnfg9bgwqKobf44LiDT112p4wAEaPjDs3jse7E7QJAwAAqCyn0BAJoNtVy9UddbtqubqqLs654W3oHTarPW2ShwHvXFoOl98HQ0PL5dhYbaqKHwe/WI0hV1wXcQUl2nAnrMKG61cNxIYfnoPPzCLKRmNPS/mOthMOCndCdAtMbu2eA1grseHag09W8OXFB+DVaWSTcyTTa8QIgogDSWUwuLUNl2TyazfRIIoS8gqKNFuK9ekZdo6thKKnN/V0NjRjF4EbPtsKk0avvWpOtRI4Bt1bbn8olVhtRCMfSabaC1jrboEuYyVE2RNWtnna+dfnVC96SYFG6aDXhmWOY7g3dTD0QmijUq8G9pCECyHQVt6Yqvbphc+TIIm6VvWa05XCLJBu9ypXd9TtquXqirqXHDqF1KOVLdLb0yaJzIxc2w+xx/IGLGEeYtvbdgLlABBsn5tzflveRKS0SWdD+494+x4t5DvaTjjcTMEXmluNDpqxI6JD8sCe8TZEOf7YPDpBxGzrwBaDuvYiMjNG2++DzMya2CMIguhqMNGFMuvLUERtIgD7uIq/1R2Ej6ua2INqRHLNnWBKx8V+JaKDBnZEdDARsrcvmAaz7Ixz1Ks+sAgHZ2KyBw+OmVZDQecFhCQIguhQmAirPw9g2nTbMkTcYs2HrNUwQPDBnbwJ0OhNFkT7oYEdER1cD5NjMsA0eBpjeqxzVoFpFclSZLDrTgAi7e0gCCIxEWFEf/d1kKHNjJjMTRhj/wlkbtLEHkQGxXAGGsU7JuKAvgIiOiQPHBn/1GQpVi/o8DSehl7QJpadyMwosN9PS7EEQSQsTHRht/WvGi7FcjyCR+HTaOUEqhHWmtm0FNsFoIEdER1MhM49EEyDZQDGOY7juIZLsS4cNP8bCujt0wRBJChMRC/vMM2WYnUQ8Tgeh06zpVgPGlI+paXYLgCdio1AreKFQdQuLEcT59T449vEaiMa+Ugy9aqAfs4JqNUvByRPWNnmaedfN53KAgA7U/AR3sIMtS8EhEZSb1fcKAZ4UQ8f8wNh9gG3NxYVxfzq/rpdtVzdUberlivRdFvLk5kZI7xX4Kx0OKQ9ba9NSZWQCSNOqT6oaP2NFm219c3TRNjAFDVkyijevkcL+Y62Ew4v0+hQSjugGTsiKpjowYm0pYCkxalYCU/gCeg0OhUrw4xC14+hBy3FEgSRmCiiC1ssS+DXaCnWD4Yn8ST80GZvsohAOBZwWortbGjGLgLpsqFD4tg1oUXsnFhtRCMfVoaJ0HuGIdlyDGKzQwrhZJunNb9uipNkFxQcxEFYRB3QSgyomOJGCQr2WN6AAf52x5uimF+JrdtVy9UddbtquRJNt0UeE9HHPwZVut1IlVrvl6K1KcCIX+PXqJSWg0u81Th24a7DpjEP7Gn/RroOEMU2ZFuhI/qzC2mnOW6m/WpftNCMHRElehhcIwMvBIwTFQwf42MoGj0pAoCO0fsJCYJIXETokeUdBxkaRRMA4NE4RJRIB9i6BDSwI6JD9MCR8S5EufW9GNGiEyT8F/5LuwDFMGOI6xbItBRLEESCwkQPvrH+HYpGhxP8YHgGz2i2FAtuhMU2XZuQWERc0MCOiA4mwtAwVrNTsbuxG6pWp2I1jshOEATR5WAisj1FANPmgVgvSHgOz2n2gK3l24mI+KCBHRElMvSeiwGuxVIsx2ZsBtPqSVHjiOwEQRBdDRF6ZPiGQYI28T8Z56hAhWZhp7R8OxERH9QTEtEh+uDIWAZR0mIpVsTP8XPNTsVqHZGdIAiiq8FED761vgpVo6VYBQwv4kXt9jpr+XYiIi7oVGwEKI5dszy/inR3EaotOwFRiSuOXa3qwkrpn8hSHJCk0KfF9sV+8uGE5UUAgKK2fJqlOHY9V7erlqs76nbVciWabmt5IpOR5ZmMI/qNQJi4czHbZAp+ZpiJKrYbiDC4izqOHbw4l/YaesEAKJFlo7GnpXxH2wkHxbEjujwiZJj9/aDFLcNEFXuxH1zU6MZnIjJ9w2kpliCIhEWAjHQlH6JG8zFMULFX2gYmaNcOW7yDqR3uAtCMXQQojl1zPHCm/7sxL/rYRuHi2NVLPlyb1Fez+E6iYEQ/31Xw6c/AIrU+w0px7HqublctV3fU7arlSjTdFnkSw17r6zBpZNPHVXzUcBJ3pgyAXpDij2OnGpHsmgi9+dOwBygojt2Fg4bWEWg6telhavDazZTgZtOma8453EwB5xys8RpAyLXKOTyNU7OMc/i42pjOglO2SrNrP2dBmcA1C177w1z7uBq89jIVSrNrtZlMWz55mRrWJ68qwGS/EooqhfjX5JN6nk9N18p5137OoHKOvd46eBvtKJwFy6s05jf5pzbzNTSdN/rEoAhu7Lb+DW6hIeiHj6vBaz9n4I0++bgacn3+93H+dVOdqlFdn+9Hy2t/i/TwPoXzo7N9UuPwyR+HT01lIZ8C183LHrtP4f3o6T6d/xuKxSdfHD613l6E8UMVkdtQDJHJrbYR5/va3I/z2wgZYnBQxzgP9j3n90/N2+/mfVXzfsjHGSB5UJf+NlTJ1fj54fuqePqn5n2ul6lR97lqM/+a97nN/Yumz/Xx2PrczoJm7CLw78uGI3vwSKz76zMYN3MO0nLysPqFJzHpjgVIzsjCJ//3MK7+yf+DrDdizYtPYdoD/wPF58H6v/0GNzz0OzhqKrD1nSW47ue/Rt3ZEyj9+C0U3/c4Tn77NQ7v2ICp8x/B2YPf4GjpZlx+5wM4+c12lH/3LQr/4x4cLdmMuvITGDdzLg5++Rk8DhtGT7sZezd+DADIHz0FB7Z8Cku6FUMmXovSj99EWnYeBoy/Etv/9XdkDx6J3FGF2PLPFzFg3JVI6ZOD7R/8A5dMuRF98oeE9UmUZHz+6u9a9el/zLfjk6kyNi9fgivmPAhb1Rns2/gJiu97HFXHD2LP+g9RePOPYas6i8PbN2DczDmoPXUEp/aVYnDRNag5eRj2qrPIGlSA775ci9MpwMAJl+PE7m0AgLzRRTj01TroDEbkj5mEQ9vWwZLeB9mDR+HAF6uQnJGN9H4DcGTHRmQNHon0iwbgm8/eR/6IyzCmejCWn3oFgyZeg+T0THz94VKMuOoHMKf0wvZ/vYJhU26AOSUdpStex7hZ86D6fShb9Q5GX3cbPA4bDm3fgEtvnA9HbSUOfbUeY2fciapjB3H2YBkKrr4dtaePouK7bzFi6ixUHTuAc6ePIn/MJFQfOwhPgx2Diopxem8pfG4nBowP+KT4OPoOK8DZA7uhNyXhohHjgj6l5eThyNeb0Dv/IvTpPxR7N6wI8Slr8ChYe2dh36aVGHTZ1SE+iZKE3auXoeD6OyDp9BfMpyNfbwIADLz0chwt2RyTT2Wr30POkAL06T8EO1f+s10+MVXF3s8/6vE+VR//DgMvnYy6syfQUFsVk09GixW9+w/B8V1b0euiAT3ep0GFU2FMTmmXT8Mnz4C9ugIVh77BqGtvjcmnnKHjcGZ/GWS9Dnmji0J8OvDFp0hKTUe/kRNw4ItVQZ/2rVuB60Qbjk8Yiz0lnyJ31GVIzeoX9ElnMOLbtR9gxNRZwXavuU+XFN8EWW9E2ap3UPgf98JZVxP0qaGuGke2b8DEH/4MtaeP4fCODWHb8qb+af8Xn8JedRaFt8wJ9k+Dx16LytWb4czRYcTUmdi95n0Yk1Nw0bCx2LNhBXrn5cbVPzXvc30uJ754609R97lVxw9i38ZPMGXuQyF97qGv1qPq+EFM+uHcNvvcEVO+9ymaPrd3/mDgxZILOmZpQuCca3TWOXGw2+1ISUnBNT9bDIMpCYrPA1HWQRQl+L0eyDo9BFEMXOv1AAQoPi9kvQEAh+LzQWcwgjMGxR+4ZkwFU/yQ9UY4aqvAVAUpfXLAVBWMqZB1ejBVAWMMsk4PVVEAziAFrzkknQ6qEtgE63HYoCp+JKX1hiTLUP0+QBAhyTIUvw+iKEKUmq4luO11UPw+JGdkQhSlsD65bOeg+Lyw9slu4ZO9qhyy3gBzSi8ofh98rgYwxmBKtkLWB/xz1FRC1ulhsqahobYSkk4PkzUVDbVV8LqdMCYlg3MOW9UZMKbCmGSFKMlgauAJS5RkuGy1gCDAbO0FVVEgCAJESYKq+OF1OSCKEnRGMwRRgiiKUBU/jD4dblh9Mf41sQRiHysEUYTi90GSZQiCCGd9DURJhtGSAlXxQ5IDByxUxQ/F6wbnDDpjEmSdHpwxMFWBpNPDba8DYyqSUjPAGANnKiRZB8ZUcMbg97jAmAqD2QpJlsFUFQAP+uRpsEOUJOhNSQCa/Aj45HM3QFUUmKypEMWAf8198rkaIIgidAYTREkO8cnrdEBV/DCnpAf9uBA+uWznAADmlF6N31n0PjnrayCKEkzWNKh+X0w+uWy1kGQdDEnJUBWlx/vkttdDkmXoTRZwzmPyyeuyN/sNiT3eJ7/HCUEQIRtMIb+haHzye93gjEFvtjT6Eb1PPrcTTFVhtDRvAwM+hbaB/hCfgu2C0QxRlCCIYtAnr6vpu+kFQWj6zr73o3kbKOv0UPxe7N2wApdcfRNEUYIhyQJZZwBr9C9cW97UPzlqKsA5h7V3drB/YlU2XP5eCnbcDfBUHVS/HxAEeBz1IX1Ve/un5n2us64Wqt8Ha5+cqPrcwLUCWW8I6XMdNZXgTIW1T06bfa4kf+9TNH2uqvix5sWnYLPZYLVa2zscaRc0YxeBlIxs6IymDrOfnJ7Zbl1H4w82WhuiJLUpL4hiqzKSV8TIFcDxu3uDGUU4aitbyIri95/R/PNESYazrgZJaRkAALfDhrMHynDxhCkQW3nnodma1rIMjT6Hy1t+82FISA2bF8mmy17Xal4kvWh0m3wL+7mN9dOq7Qi+CoIYV7k6TLcNnyLlRfJJEIQ27UYsV4L51PQ7a4+uJLd+T7alCySeT23dG5F8avP3H8EnV4S2obXySj5g7Jb+2DrxLPS9UlqWVYz9uym69b7gdVP73Jzz2/Jw+U04dDpsX9RSztH4/UTqe6Lpn5rTdB/G04c2Rys7zfF73JrbjBbaY0dEhcgBvRORTsXHQOCJVavJYlEBRu7OQAdEpiEIgugSCAwwerSbi2FMRdWxA2AaheUQfcCAzwH4KEJxZ0MDOyIqFBPw9d0AM8d/y4iSjAHjrwzOwMWL7AMGHE2FrNDtTBBEYqIYgTXXHYei12bgxFUVp/aUgKsaDewUIPvbQHtMdC7UExJRIXqAsW8Coiv+RoWpCk7s3hbYx6ABPjOw4qbD8BnpSZEgiMRE9gJXr8uF7NOm25Z0eoybOQeSLnK4lmhRzMDW/wQUCw0rOhv6Bohuj+gDxn+dSUuxBEEQUcJUFWcP7m480BE/og8YsgoQPfSA3dnQ4YkIWPtkN55o7BhSMvtecBvRyLcmc2hhy7xwss3Tml83bVD1ltfg+srZ2G2RoLRyNiXcRt7W8mQXkFPBcdjogy4GPS3y4s0n3Quj21XL1R11u2q5Ek03XN62m2ugR4o2Nu0+nN5+DMnDrwCs+rAHCFpry8OlyQ0MGSdq4U7LArO23GYTT9+jlXxH22mOz+3U3Ga00IwdERWii2H487UQGzSYFvOo+NS+HNwT+V2L0aKYgXWza+Eza2KOIAiiyyG7gSv/lYYwL3VoF3pBj/uVe6EXNFqKtYj45oneYQd1xIWFZuwiYK8q75BwJ02hQi6kjWjkI8k466rhMQK22nIwpxhWtnna+dfOuprg3x6nHSlIgdtWB/95zxZNIQTC0Vqe5ANGrzfi60vDl789NtvKizefdC+MblctV3fU7arlSjTdSO2cW58EV4MNShiRWG36bAybcAC+2qHwRzh41lZb34TzTCWGfQqcnsPAjGJE2WjsaSnf0XbCQeFOiC4PMwK7b0fID7a9iJKEa3FtqzHsYkVgQFqdESJt7SAIIkFR9cCmKae1OxXLOU7ipHZhpxiQXAWA9jp3OjRjFwHaY/c9YgPD8BfP4cz/ZIIlyxFl29xjZ6zEm3gT+ZbbIKeFXwaIdQ/JxjtrIGu19ySGvHjzSffC6HbVcnVH3a5arkTTDbeX+KpVvfDFjedg0MCmXgauxVxsy+DwJYcP0hvLHjsA2Pv/Wu9jaI/dhYNm7IjokAFXjgwmxW9KEATkIjcYPTxeRA9QuDIFEsVPIggiQWEiYE9XwDXqtVVVwWf4DKqqzRSb6GEY9LdzgIum7DqbTp2x27x5M5577jmUlpaivLwcy5cvx4033hhRZ+PGjVi0aBH27t2Lfv364YknnsD8+fNDZJYsWYLnnnsOFRUVGD16NF544QVMmDAh5vLRHrtmec5q7J4BJDsqAUfb+y4i7bHzuhtwDSZjvaMWXh66rNCevSeyB9A7U+C226CGmQCkPXY9V7erlqs76nbVciWabqS8LwrrAA+garDHTq5XYYMNqKuFwlt/Yo92j527phqSDXBUlocEsqc9dheeTp2xczqdGD16NJYsWRKV/LFjxzBjxgxcddVVKCsrw8KFC3HPPfdgzZo1QZn33nsPixYtwuLFi7Fz506MHj0a06ZNQ1VVVUe50SOQXcDEJYEj7fGiKn68glegKNpMsWkdkZ0gCKKroXcBMz8aAL1HowDFsg634lbN3gCk5duJiPjo1Bm76dOnY/r06VHLv/zyy+jfvz/+7//+DwAwbNgwbNmyBX/4wx8wbdo0AMDzzz+Pe++9Fz/60Y+COitXrsSrr76KRx99NKby0R677xE9DPZhDiT1zQaM8e2x8yVXYxRGQUnLgJIa/haMZe+J6AEmrUjF9uvqNdl7EktevPmke2F0u2q5uqNuVy1Xoum2aOeSgOp+XuhTU2DSwKYEPz7CR+hluQ5ymi7uPXaii2HQq3WoeiwTzNyyXac9dheObjW03rZtG4qLi0PSpk2bhm3btgEAfD4fSktLQ2REUURxcXFQhmgfzCjixK0pIYO69iJKEgpRqNmpWIIgiESH6YFvJjvAtAk7RyQw3apnraioQGZm6FNFZmYm7HY73G436urqoKpqWJkDBw60atfr9cLr9Qb/ttlsAACf26Vh6b+nae09nhF9rDaikY8kw2ucKHjBicO/soBZ5bCyzdPOv/Z7PcE0r7sBf8bbuMQ5D0wf2kopvsD34Pe2jMLZap4AbJpeCwAQY9GLIy/efNK9MLpdtVzdUberlivRdFvLk13AtW+kY92NFfCb47cpMOBaXIsdTIXfq4bdE3Z+W95EuDSv6MWee8ywCl7A7Y0oez4d0Z9dSDvhaBo/aBVOJha61cCuo3j22Wfxq1/9qkX6W7+8oxNK03V5FwD+n3b2Tr39tHbGCIIgEpyVAPAv7ex9DABLtbNHtKS2thYpKSkX9DO71cAuKysLlZWhp1gqKythtVphMpkgSRIkSQork5WV1ardxx57DIsWLQr+XV9fj7y8PJw8efKCfyE9Abvdjn79+uHUqVOwWq2dXZyEhOq4Y6H67XiojjsWqt+OxWazITc3F7169brgn92tBnZFRUVYtWpVSNratWtRVFQEANDr9Rg3bhzWr18fDJvCGMP69evxwAMPtGrXYDDAYDC0SE9JSaEbvgOxWq1Uvx0M1XHHQvXb8VAddyxUvx2LKF74owydeniioaEBZWVlKCsrAxAIZ1JWVoaTJ08CCMyk3XXXXUH5+++/H0ePHsXDDz+MAwcO4KWXXsKyZcvwi1/8IiizaNEivPLKK3j99dexf/9+/PSnP4XT6QyekiUIgiAIgkhUOnXGrqSkBFdddVXw76bl0Hnz5mHp0qUoLy8PDvIAoH///li5ciV+8Ytf4E9/+hMuuugi/P3vfw+GOgGA22+/HdXV1XjqqadQUVGBgoICrF69usWBCoIgCIIgiESjUwd2U6ZMiXhiZOnSpWF1du3aFdHuAw88EHHptS0MBgMWL14cdnmWiB+q346H6rhjofrteKiOOxaq346lM+tX4J1xFpcgCIIgCILQnG4VoJggCIIgCIJoHRrYEQRBEARBJAg0sCMIgiAIgkgQaGBHEARBEASRIPSogd1vf/tbCIKAhQsXRpR7//33MXToUBiNRowcObJFUGTOOZ566ilkZ2fDZDKhuLgYhw4d6sCSd13++7//G4IghPwbOnRoRB2q39g4c+YM5syZg/T0dJhMJowcORIlJSURdTZu3IixY8fCYDDg4osvDnvCfMmSJcjPz4fRaERhYSF27NjRQR50bfLz81vcw4IgYMGCBa3q0D0cPaqq4sknn0T//v1hMpkwcOBA/PrXv27zHZp0D0ePw+HAwoULkZeXB5PJhIkTJ+Lrr7+OqEP12zqbN2/GzJkzkZOTA0EQ8OGHH4bkt/f33VZ9ejweLFiwAOnp6bBYLLjllltavEkrKngPYceOHTw/P5+PGjWKP/jgg63Kbd26lUuSxH/3u9/xffv28SeeeILrdDr+7bffBmV++9vf8pSUFP7hhx/y3bt38x/84Ae8f//+3O12XwBPuhaLFy/mI0aM4OXl5cF/1dXVrcpT/cbGuXPneF5eHp8/fz7fvn07P3r0KF+zZg0/fPhwqzpHjx7lZrOZL1q0iO/bt4+/8MILXJIkvnr16qDMu+++y/V6PX/11Vf53r17+b333stTU1N5ZWXlhXCrS1FVVRVy/65du5YD4J9//nlYebqHY+OZZ57h6enp/JNPPuHHjh3j77//PrdYLPxPf/pTqzp0D8fGbbfdxocPH843bdrEDx06xBcvXsytVis/ffp0WHmq38isWrWKP/744/yDDz7gAPjy5ctD8tvz+46mPu+//37er18/vn79el5SUsIvu+wyPnHixJjL3yMGdg6Hgw8aNIivXbuWT548OeLA7rbbbuMzZswISSssLOT33Xcf55xzxhjPysrizz33XDC/vr6eGwwG/s4773RI+bsyixcv5qNHj45anuo3Nh555BF++eWXx6Tz8MMP8xEjRoSk3X777XzatGnBvydMmMAXLFgQ/FtVVZ6Tk8OfffbZ+AqcADz44IN84MCBnDEWNp/u4diYMWMGv/vuu0PSbr75Zj579uxWdegejh6Xy8UlSeKffPJJSPrYsWP5448/HlaH6jd6zh/Ytff33VZ91tfXc51Ox99///2gzP79+zkAvm3btpjK3COWYhcsWIAZM2aguLi4Tdlt27a1kJs2bRq2bdsGIPDas4qKihCZlJQUFBYWBmV6GocOHUJOTg4GDBiA2bNnh7wt5HyofmPjo48+wvjx43HrrbeiT58+GDNmDF555ZWIOm3Vsc/nQ2lpaYiMKIooLi7ukXXcHJ/Ph7feegt33303BEEIK0P3cGxMnDgR69evx3fffQcA2L17N7Zs2YLp06e3qkP3cPQoigJVVWE0GkPSTSYTtmzZElaH6rf9tOf3HU19lpaWwu/3h8gMHToUubm5Mdd5wg/s3n33XezcuRPPPvtsVPIVFRUtXj+WmZmJioqKYH5TWmsyPYnCwkIsXboUq1evxl/+8hccO3YMV1xxBRwOR1h5qt/YOHr0KP7yl79g0KBBWLNmDX7605/iP//zP/H666+3qtNaHdvtdrjdbtTU1EBVVarjMHz44Yeor6/H/PnzW5Whezg2Hn30Ufzwhz/E0KFDodPpMGbMGCxcuBCzZ89uVYfu4ehJTk5GUVERfv3rX+Ps2bNQVRVvvfUWtm3bhvLy8rA6VL/tpz2/72jqs6KiAnq9HqmpqVHbbY1OfaVYR3Pq1Ck8+OCDWLt2bYunGUIbmj91jxo1CoWFhcjLy8OyZcvw4x//uBNLlhgwxjB+/Hj85je/AQCMGTMGe/bswcsvv4x58+Z1cukSj3/84x+YPn06cnJyOrsoCcOyZcvw9ttv45///CdGjBiBsrIyLFy4EDk5OXQPa8Sbb76Ju+++G3379oUkSRg7dizuuOMOlJaWdnbRiE4goWfsSktLUVVVhbFjx0KWZciyjE2bNuHPf/4zZFmGqqotdLKyslqcQqmsrERWVlYwvymtNZmeTGpqKgYPHozDhw+Hzaf6jY3s7GwMHz48JG3YsGERl7tbq2Or1QqTyYSMjAxIkkR1fB4nTpzAunXrcM8990SUo3s4Nn75y18GZ+1GjhyJuXPn4he/+EXEVRS6h2Nj4MCB2LRpExoaGnDq1Cns2LEDfr8fAwYMCCtP9dt+2vP7jqY+s7Ky4PP5UF9fH7Xd1kjogd3VV1+Nb7/9FmVlZcF/48ePx+zZs1FWVgZJklroFBUVYf369SFpa9euRVFREQCgf//+yMrKCpGx2+3Yvn17UKYn09DQgCNHjiA7OztsPtVvbEyaNAkHDx4MSfvuu++Ql5fXqk5bdazX6zFu3LgQGcYY1q9f3yPruInXXnsNffr0wYwZMyLK0T0cGy6XC6IY2tVIkgTGWKs6dA+3j6SkJGRnZ6Ourg5r1qzBrFmzwspR/baf9vy+o6nPcePGQafThcgcPHgQJ0+ejL3OYzpqkQCcfyp27ty5/NFHHw3+vXXrVi7LMv/973/P9+/fzxcvXhw2lEFqaipfsWIF/+abb/isWbN6bCiDhx56iG/cuJEfO3aMb926lRcXF/OMjAxeVVXFOaf6jZcdO3ZwWZb5M888ww8dOsTffvttbjab+VtvvRWUefTRR/ncuXODfzeFMvjlL3/J9+/fz5csWRI2lIHBYOBLly7l+/bt4z/5yU94amoqr6iouKD+dRVUVeW5ubn8kUceaZFH93B8zJs3j/ft2zcY7uSDDz7gGRkZ/OGHHw7K0D0cH6tXr+affvopP3r0KP/ss8/46NGjeWFhIff5fJxzqt9YcTgcfNeuXXzXrl0cAH/++ef5rl27+IkTJzjn0f2+p06dyl944YXg39HU5/33389zc3P5hg0beElJCS8qKuJFRUUxl7/HD+wmT57M582bFyKzbNkyPnjwYK7X6/mIESP4ypUrQ/IZY/zJJ5/kmZmZ3GAw8KuvvpofPHjwApS+63H77bfz7Oxsrtfred++ffntt98eEmON6jd+Pv74Y37JJZdwg8HAhw4dyv/2t7+F5M+bN49Pnjw5JO3zzz/nBQUFXK/X8wEDBvDXXnuthd0XXniB5+bmcr1ezydMmMC/+uqrDvSia7NmzRoOIOx9RvdwfNjtdv7ggw/y3NxcbjQa+YABA/jjjz/OvV5vUIbu4fh47733+IABA7her+dZWVl8wYIFvL6+PphP9Rsbn3/+OQfQ4l9TOxDN7zsvL48vXrw4JK2t+nS73fxnP/sZT0tL42azmd900028vLw85vILnLcR/psgCIIgCILoFiT0HjuCIAiCIIieBA3sCIIgCIIgEgQa2BEEQRAEQSQINLAjCIIgCIJIEGhgRxAEQRAEkSDQwI4gCIIgCCJBoIEdQRAEQRBEgkADO4IgiDD84x//wLXXXtvhn7N69WoUFBREfMUWQRBEtNDAjiAI4jw8Hg+efPJJLF68uMM/67rrroNOp8Pbb7/d4Z9FEETiQwM7giCI8/jXv/4Fq9WKSZMmXZDPmz9/Pv785z9fkM8iCCKxoYEdQRAJyxtvvIH09HR4vd6Q9BtvvBFz585tVe/dd9/FzJkzQ9KmTJmChQsXtrAzf/784N/5+fl4+umncdddd8FisSAvLw8fffQRqqurMWvWLFgsFowaNQolJSUhdmbOnImSkhIcOXKkfY4SBEE0QgM7giASlltvvRWqquKjjz4KplVVVWHlypW4++67W9XbsmULxo8f367P/MMf/oBJkyZh165dmDFjBubOnYu77roLc+bMwc6dOzFw4EDcddddaP6a7tzcXGRmZuKLL75o12cSBEE0QQM7giASFpPJhDvvvBOvvfZaMO2tt95Cbm4upkyZElanvr4eNpsNOTk57frM66+/Hvfddx8GDRqEp556Cna7HZdeeiluvfVWDB48GI888gj279+PysrKEL2cnBycOHGiXZ9JEATRBA3sCIJIaO6991589tlnOHPmDABg6dKlmD9/PgRBCCvvdrsBAEajsV2fN2rUqOB1ZmYmAGDkyJEt0qqqqkL0TCYTXC5Xuz6TIAiiCbmzC0AQBNGRjBkzBqNHj8Ybb7yBa6+9Fnv37sXKlStblU9PT4cgCKirq2vTtqqqLdJ0Ol3wumnwGC7t/PAm586dQ+/evdv8TIIgiEjQjB1BEAnPPffcg6VLl+K1115DcXEx+vXr16qsXq/H8OHDsW/fvhZ55y+fHj16VJPyeTweHDlyBGPGjNHEHkEQPRca2BEEkfDceeedOH36NF555ZWIhyaamDZtGrZs2dIifcWKFfjggw9w5MgRPPPMM9i3bx9OnDgRXOZtL1999RUMBgOKioriskMQBEEDO4IgEp6UlBTccsstsFgsuPHGG9uU//GPf4xVq1bBZrOFpM+YMQO/+93vMHz4cGzevBkvvfQSduzYgTfffDOu8r3zzjuYPXs2zGZzXHYIgiAE3vzMPUEQRIJy9dVXY8SIEVEHAr711lsxduxYPPbYYwACcewKCgrwxz/+UdNy1dTUYMiQISgpKUH//v01tU0QRM+DZuwIgkho6urqsHz5cmzcuBELFiyIWu+5556DxWLpwJIFOH78OF566SUa1BEEoQl0KpYgiIRmzJgxqKurw//+7/9iyJAhUevl5+fj5z//eQeWLMD48ePbHQyZIAjifGgpliAIgiAIIkGgpViCIAiCIIgEgQZ2BEEQBEEQCQIN7AiCIAiCIBIEGtgRBEEQBEEkCDSwIwiCIAiCSBBoYEcQBEEQBJEg0MCOIAiCIAgiQaCBHUEQBEEQRIJAAzuCIAiCIIgE4f8DIxjSD6kL6lEAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "mzm_solver = ModeSolver(simulation = sim_vpi,\n", - " plane = mode_solver_rf.plane,\n", - " mode_spec = td.ModeSpec(num_modes=1,\n", - " target_neff=2.2),\n", - " freqs = rf_freqs)\n", - "\n", - "\n", + "mzm_solver = ModeSolver(\n", + " simulation=sim_vpi,\n", + " plane=mode_solver_rf.plane,\n", + " mode_spec=td.ModeSpec(num_modes=1, target_neff=2.2),\n", + " freqs=rf_freqs,\n", + ")\n", "\n", "\n", "ax = mzm_solver.plot()\n", "mzm_solver.plot_grid(ax=ax)\n", - "ax.set_ylim(1,5)\n", - "ax.set_xlim(4,10)" + "ax.set_ylim(1, 5)\n", + "ax.set_xlim(4, 10)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "id": "38935f5b", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
12:00:15 -03 Created task 'MZM mode solver' with resource_id                    \n",
+       "             'mo-2cc0f904-09e7-4efd-a998-13eaae14f231' and task_type            \n",
+       "             'MODE_SOLVER'.                                                     \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m12:00:15 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'MZM mode solver'\u001b[0m with resource_id \n", + "\u001b[2;36m \u001b[0m\u001b[32m'mo-2cc0f904-09e7-4efd-a998-13eaae14f231'\u001b[0m and task_type \n", + "\u001b[2;36m \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             View task using web UI at                                          \n",
+       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-\n",
+       "             4efd-a998-13eaae14f231'.                                           \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at \n", + "\u001b[2;36m \u001b[0m\u001b]8;id=776406;https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-4efd-a998-13eaae14f231\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=918486;https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-4efd-a998-13eaae14f231\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=776406;https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-4efd-a998-13eaae14f231\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=657276;https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-4efd-a998-13eaae14f231\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=776406;https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-4efd-a998-13eaae14f231\u001b\\\u001b[32m-2cc0f904-09e7-\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[2;36m \u001b[0m\u001b]8;id=776406;https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-4efd-a998-13eaae14f231\u001b\\\u001b[32m4efd-a998-13eaae14f231'\u001b[0m\u001b]8;;\u001b\\. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Task folder: 'default'.                                            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=753555;https://tidy3d.simulation.cloud/folders/folder-f9e994c1-6315-4b44-af3a-c2cb1435b23a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "fc8a0663330b4348ac0312af96da45ea", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
12:00:18 -03 Estimated FlexCredit cost: 0.015. Minimum cost depends on task     \n",
+       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
+       "             FlexCredit cost after a simulation run.                            \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m12:00:18 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.015\u001b[0m. Minimum cost depends on task \n", + "\u001b[2;36m \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", + "\u001b[2;36m \u001b[0mFlexCredit cost after a simulation run. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
12:00:20 -03 status = success                                                   \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m12:00:20 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "952482b8281845c195c6962c074d5aa1", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
12:00:39 -03 loading simulation from data/MZM_mode_data.hdf5                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m12:00:39 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/MZM_mode_data.hdf5 \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "mzm_mode_data = web.run(mzm_solver, task_name=\"MZM mode solver\", path=\"data/MZM_mode_data.hdf5\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "id": "7d132394", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAHWCAYAAAClnYmGAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjcsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvTLEjVAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAbdlJREFUeJzt3XlcVOX+B/DPOTMwwzqICgMpamrhmuaClG3KFdNyzbJrLl3TW6Gllqm/FMtbUWbq1VSyRaurN6/3lqUWaZpbIiZqmQtqmagEqAgoAgMzz+8PmBPDOgwHZ3A+79frvHSe85znPGcchy/PKgkhBIiIiIicRHZ2BYiIiMi9MRghIiIip2IwQkRERE7FYISIiIicisEIERERORWDESIiInIqBiNERETkVAxGiIiIyKkYjBAREZFTMRghcqIdO3ZAkiTs2LHD2VWherB//354enri7NmzN/zely9fho+PD77++usbfm+i2mIwQnQDLF++HKtXr3Z2NRyydu1aLF682NnVsPHhhx+iXbt20Ov1aNu2LZYuXWr3tYWFhZgxYwZCQ0Ph5eWFiIgIbN26tdK8e/fuRe/eveHt7Q2j0YjnnnsO165ds/teL7/8Mh5//HG0aNHC7mvU0rhxYzz11FOYM2fODb83Ua0JIqp3HTp0EPfdd1+FdLPZLPLz84XZbL7xlbLTwIEDRYsWLZxdDUV8fLwAIIYPHy5WrlwpRo8eLQCIN998067rR44cKbRarXjxxRfFe++9JyIjI4VWqxW7d++2yXfo0CGh1+tF165dxYoVK8TLL78sdDqd6N+/v133OXTokAAg9u7dW+tnVMuxY8cEALFt2zan1YHIHgxG6Ia5du2as6vgNFUFIw2BKwUj169fF40bNxYDBw60SR81apTw8fERWVlZ1V6flJQkAIi3335bScvPzxetW7cWkZGRNnkffPBBERISInJycpS0999/XwAQ3377bY11fe6550RYWJiwWCz2PFq96dixoxg9erRT60BUEwYj5JDz58+Lv/3tbyIkJER4enqKli1biqeffloUFhYKIYRYtWqVACB27NghnnnmGdG0aVMREBCgXL9s2TLRvn174enpKUJCQsSzzz4rrly5YnOPkydPimHDhong4GCh0+nELbfcIh577DGRnZ2t5NmyZYu4++67hcFgED4+PuK2224Ts2bNqrH+9lxXUFAgYmNjRevWrYWnp6do1qyZmD59uigoKKhQ3qeffip69OghvLy8REBAgLjnnnuUH1gtWrQQAGwOa2Dy/fffCwDi+++/tynvP//5j7jzzjuFXq8XjRs3FqNGjRLnz5+3yTN27Fjh4+Mjzp8/LwYPHix8fHxEkyZNxAsvvCCKi4trfA82bNggBgwYoPwb3nrrrWLevHk21953330V6l5dYPLRRx8JAOLDDz+0SX/99dcFALF58+Ya61WdzZs3V1rO3r17BQDx6aefVnv99OnThUajsQkwhBDijTfeEABEamqqEEKInJwcodVqxfTp023yFRYWCl9fXzF+/Pga6xoWFibGjRtXIR2AmDt3boX0Fi1aiLFjxyqvrf+Hdu/eLSZPniyaNGkiDAaDmDhxoigsLBRXrlwRo0ePFgEBASIgIEBMnz690sBn6tSpIiAgwOlBEVF1tDewR4huEmlpaejZsyeys7MxceJEhIeH48KFC/jvf/+L69evw9PTU8n77LPPomnTpoiNjUVeXh4A4JVXXsGrr76KqKgoPPPMM0hJScGKFSvw448/4ocffoCHhwdMJhOio6NRWFiIyZMnw2g04sKFC9i0aROys7NhMBhw9OhRPPTQQ+jcuTPmzZsHnU6H06dP44cffqi2/vZcZ7FYMGjQIOzZswcTJ05Eu3btcOTIESxatAgnT57Ehg0blLyvvvoqXnnlFdx1112YN28ePD09kZSUhO3bt6Nfv35YvHgxJk+eDF9fX7z88ssAgODg4Crrt3r1ajz55JPo0aMH4uLikJGRgX/+85/44YcfcOjQIQQEBCh5zWYzoqOjERERgQULFuC7777DO++8g9atW+OZZ56p9n1YvXo1fH19MW3aNPj6+mL79u2IjY1Fbm4u3n77bQAlYx5ycnJw/vx5LFq0CADg6+tbZZlPPvkkPv/8c0ybNg1/+ctf0Lx5cxw5cgSvvvoqxo8fjwEDBih5r1y5ArPZXG0dAcDb2xve3t4AgEOHDgEAunfvbpOnW7dukGUZhw4dwhNPPFFlWYcOHcJtt90Gf39/m/SePXsCAA4fPqzUubi4uMJ9PD090aVLF6UeVblw4QJSU1Nx55131vh8NbF+/l999VXs27cPK1euREBAAPbu3YuwsDC88cYb+Prrr/H222+jY8eOGDNmjM313bp1w6JFi3D06FF07NixzvUhqhfOjoao4RkzZoyQZVn8+OOPFc5Zf/uy/lbXu3dvm9+0MzMzhaenp+jXr5/NOIl3331XABAfffSREOLP/vb169dXWY9FixYJAOLixYu1qr8913366adCluUK4wis4xV++OEHIYQQp06dErIsi6FDh1YY91H2N9GqumnKt4yYTCYRFBQkOnbsKPLz85V8mzZtEgBEbGyskjZ27FgBQMybN8+mzK5du4pu3bpV/yaIki6P8v7+978Lb29vm9af2nbT/PHHHyIwMFD85S9/EYWFhaJr164iLCysQmtEZS1GlR1lWxFiYmKERqOp9L5NmzYVI0eOrLZuHTp0EH369KmQfvToUQFAxMfHCyGEWL9+vQAgdu3aVSHviBEjhNForPY+3333nQAgNm7cWOFc+WeyqqplJDo62uazFBkZKSRJEk8//bSSVlxcLJo1a1bpZ8zaarRu3bpq60zkTJxNQ7VisViwYcMGPPzwwxV+awQASZJsXk+YMAEajUZ5/d1338FkMmHKlCmQZdkmn7+/PzZv3gwAMBgMAIBvv/0W169fr7Qu1haCL7/8EhaLxe5nsOe69evXo127dggPD8elS5eUo0+fPgCA77//HgCwYcMGWCwWxMbG2jwPUPG9sMeBAweQmZmJZ599Fnq9XkkfOHAgwsPDlfenrKefftrm9T333IPffvutxnt5eXkpf7969SouXbqEe+65B9evX8eJEydqXXcro9GIZcuWYevWrbjnnntw+PBhfPTRRxVaI9asWYOtW7fWeJT9TT8/P9+m5a0svV6P/Pz8auuWn58PnU5X6bXW82X/rCpvTfe5fPkyAKBRo0bV5rPH+PHjbT5LEREREEJg/PjxSppGo0H37t0r/Xe31uHSpUt1rgtRfWE3DdXKxYsXkZuba3dzb6tWrWxeW9dbuP32223SPT09ceuttyrnW7VqhWnTpmHhwoVYs2YN7rnnHgwaNAhPPPGEEqg89thj+OCDD/DUU09h5syZ6Nu3L4YNG4ZHHnmkQmBQlj3XnTp1CsePH0fTpk0rLSMzMxMA8Ouvv0KWZbRv396u96MmVb0/ABAeHo49e/bYpOn1+gp1bNSoEa5cuVLjvY4ePYrZs2dj+/btyM3NtTmXk5NT26rbGDlyJP71r39h8+bNmDhxIvr27Vshz913313rcr28vGAymSo9V1BQYBNgVXV9YWFhpddaz5f9s6q8Nd3HSghhV77qhIWF2by2fv6bN29eIb2yf3drHRwJjoluFAYjVK/s/dKuzDvvvINx48bhyy+/xJYtW/Dcc88hLi4O+/btQ7NmzeDl5YVdu3bh+++/x+bNm5GQkIB169ahT58+2LJli02LTPk61XSdxWJBp06dsHDhwkrLKP+DwFmqesaaZGdn47777oO/vz/mzZuH1q1bQ6/X4+DBg5gxY0atWpoqc/nyZRw4cAAAcOzYMVgslgoB4sWLF+0aM+Lr66uMUwkJCYHZbEZmZiaCgoKUPCaTCZcvX0ZoaGi1ZYWEhODChQsV0v/44w8AUK4PCQmxSS+ft6b7NG7cGADsCgqtqgpcqvo3riy9sjKsdWjSpInddSG60dhNQ7XStGlT+Pv745dffnHoeuviTykpKTbpJpMJZ86cqbA4VKdOnTB79mzs2rULu3fvxoULFxAfH6+cl2UZffv2xcKFC3Hs2DG8/vrr2L59u9KNUpWarmvdujWysrLQt29fREVFVTisLRetW7eGxWLBsWPHqr2fvb+VVvX+WNPUWjxrx44duHz5MlavXo3nn38eDz30EKKioirtVnDkN+qYmBhcvXoVcXFx2LNnT6WLpvXo0QMhISE1HgsWLFCu6dKlCwAogY7VgQMHYLFYlPNV6dKlC06ePFmhJSgpKcmm/I4dO0Kr1Va4j8lkwuHDh2u8T3h4OADgzJkzlZ6/evVqhTRra5varHVo165dvZRPpAYGI1QrsixjyJAh2LhxY4UvaqDmZumoqCh4enpiyZIlNnk//PBD5OTkYODAgQCA3NxcFBcX21zbqVMnyLKsNJ1nZWVVKN/6Q6Ky5nUre6579NFHceHCBbz//vsV8ubn5yszg4YMGQJZljFv3rwKrQlln8/HxwfZ2dlV1smqe/fuCAoKQnx8vM0zfPPNNzh+/Ljy/tSV9bfqsnU0mUxYvnx5hbw+Pj616rb573//i3Xr1uHNN9/EzJkzMXLkSMyePRsnT560yefImJE+ffogMDAQK1assClrxYoV8Pb2tnl/Ll26hBMnTtiMOXrkkUdgNpuxcuVKJa2wsBCrVq1CRESE0uJlMBgQFRWFf/3rXzaBw6effopr165hxIgR1b4Ht9xyC5o3b17p/xEAFZb//+abb1BQUKBKt055ycnJMBgM6NChg+plE6nGWSNnqeE6f/68MBqNwtvbW0yZMkW899574pVXXhEdOnRQ1gqxzgSobMbN3LlzBQDRr18/8e6774rJkycLjUYjevToIUwmkxBCiC+++ELccsstYsqUKWL58uViyZIlokePHsLDw0MkJiYKIYR4/vnnRdeuXcXs2bPF+++/L15//XVxyy23iGbNmtmsRVKePdeZzWYxYMAAIUmSGDlypFi6dKlYvHixePrpp0VgYKDNc82ZM0cAEHfddZdYsGCBWLp0qRgzZoyYOXOmkufZZ58VkiSJf/zjH+Lf//63siJmZeuMWN+7iIgIsXjxYjFr1izh7e0tWrZsabMWi3Wdkare3+pcunRJNGrUSLRo0UK88847YuHChaJr167ijjvuqFCf+fPnCwBi6tSpYu3ateKrr76qstyMjAzRpEkT8cADDygzQC5duiSCg4NFZGSkKivNLlu2TAAQjzzyiHj//ffFmDFjBADx+uuv2+Szvg/l13AZMWKEsobIe++9J+666y6h1WrFzp07bfIlJycLnU5nswKrXq8X/fr1s6uekyZNErfcckuF9T0ACC8vL/Hggw+KFStWiDlz5gh/f39hMBhEmzZtxNq1a4UQVf8fsj5X+dlgVX0eOnbsKJ544gm76kzkLAxGyCFnz54VY8aMEU2bNhU6nU7ceuutIiYmpsKiZ5UFI0KUTOUNDw8XHh4eIjg4WDzzzDM2P2h/++038be//U20bt1a6PV6ERgYKB544AHx3XffKXm2bdsmBg8eLEJDQ4Wnp6cIDQ0Vjz/+uDh58mS1dbf3OpPJJN566y3RoUMHodPpRKNGjUS3bt3Eq6++WmGa6kcffSS6du2q5LvvvvvE1q1blfPp6eli4MCBws/Pz65Fz9atW6eUFxgYWO2iZ+XZE4wIIcQPP/wgevXqJby8vERoaKh46aWXxLfffluhPteuXRN//etfRUBAQI2Lng0bNkz4+fmJ33//3Sb9yy+/FADEW2+9VWO97LFy5Upx++23C09PT9G6dWuxaNGiCj/0qwpG8vPzxYsvviiMRqPQ6XSiR48eIiEhodL77N69W9x1111Cr9eLpk2bipiYGJGbm2tXHQ8ePKgsWlYWADFt2jQxYsQI4eXlJUJCQsS7774r4uPjhbe3t3jqqaeEEOoEI8ePHxcAbP7fELkiSYh6aBckIiL07dsXoaGh+PTTT5U0SZIwd+5cvPLKK/V+/ylTpmDXrl1ITk7mbBpyaRwzQkRUT9544w2sW7dOmbJ9I12+fBkffPABXnvtNQYi5PI4tZeIqJ5ERERUuS5KfWvcuDGuXbvmlHsT1RZbRoiIiMip2DJCRHQDcZgeUUVsGSEiIiKnYjBCRERETsVuGhVZLBakpaXBz8+Po9eJiJxACIGrV68iNDS02g0zybUwGFFRWlqay2ygRkTkzs6dO4dmzZo5uxo2UlNT0aL17dCE9kDx2V3Oro5L4aJnKsrJyUFAQABOnT4NPz8/Z1eHqNYkfh1QA3f16lW0adsW2dnZMBgMzq6ODTmwDUReJiDMuJ5zqU67mt9s2DKiImvXjJ+fH/z9/Z1cG6LaYzBCNwtX6yo/dOgQRPbv0IYPhfn3HfBtfQ/MaZVvpOiO2KFGRERUj4QQ6HbvQ5CbtoOk84N8Sw9YMn7GxYsXnV01l8FghIiIqB59++23EPmXIQd1BgDIvkZIvkYY29/n5Jq5DgYjRERE9cRsNuPBoY9DDr4DklanpGtCu8Ny+SROnTrlxNq5DgYjRERE9UTX6n7AUgy5SbhNuqQPgBzYGrf3+ItT6uVqGIwQERHVg+vXr8OcfhCakG6QZE2F87KxK8TVC9i7d68TaudaGIwQERHVA7/W90Dy8IYU0KrS85KHN+Sgjujdb6jb71nEYISIiEhlmZmZsGQegRzao9ppxnLTjhCFV/HFF1/cwNq5HgYjREREKgvpcB8kXyNkX2O1+SSNBzTGrhj+1ydRVFR0g2rnehiMEBERqejkyZOwXD4FTWh3u/JLjdsCkKBvdU/9VsyFMRghIiJSUXjPv0AObANJH2BXfkmSoQntAUv6YeTk5NRv5VwUgxEiIiKV7NmzB+JqGmRj11pdJ/k3g+TVCIG33VtPNXNtDEaIiIhUIITAvdHDIAd1guRRu03wJEmCHNoDlkvHcP78+XqqoetiMEJERKSC//3vfxCma5CbdnDoetm7CST/MITd8YDKNXN9DEaIiIjqyGQyYcSov0ETcickjYfD5WhC7oS4cgY//fSTirVzfQxGiIiI6mj16tWArIEU2KZO5Ug6P8hNwtH13ofVqVgDoXV2BYiIiBq61NRUyD7BkKS6/44v+YagU6h7/Xh2qZYRs9mMOXPmoFWrVvDy8kLr1q3xj3/8w2aZXCEEYmNjERISAi8vL0RFRdm16+GyZcvQsmVL6PV6REREYP/+/TbnCwoKEBMTg8aNG8PX1xfDhw9HRkaG6s9IREQ3KUmCJGtUOFzqR/MN4VJP/NZbb2HFihV49913cfz4cbz11luYP38+li5dquSZP38+lixZgvj4eCQlJcHHxwfR0dEoKCiostx169Zh2rRpmDt3Lg4ePIg77rgD0dHRyMzMVPJMnToVGzduxPr167Fz506kpaVh2LBh9fq8RERE5GLByN69ezF48GAMHDgQLVu2xCOPPIJ+/foprRhCCCxevBizZ8/G4MGD0blzZ3zyySdIS0vDhg0bqix34cKFmDBhAp588km0b98e8fHx8Pb2xkcffQQAyMnJwYcffoiFCxeiT58+6NatG1atWoW9e/di3759N+LRiYiooVOpZQQqdPU0NC71xHfddRe2bduGkydPAgB++ukn7NmzBw8++CAA4MyZM0hPT0dUVJRyjcFgQEREBBITEyst02QyITk52eYaWZYRFRWlXJOcnIyioiKbPOHh4QgLC6uyXCIiorIkqNRN44bBiEuNkJk5cyZyc3MRHh4OjUYDs9mM119/HaNGjQIApKenAwCCg4NtrgsODlbOlXfp0iWYzeZKrzlx4oRSrqenJwICAuwuFwAKCwtRWFiovM7NzbXvQYmI6OYjySUtG3Uuxv2CEZd64v/85z9Ys2YN1q5di4MHD+Ljjz/GggUL8PHHHzu7apWKi4uDwWBQjubNmzu7SkRERA2OSwUj06dPx8yZMzFy5Eh06tQJo0ePxtSpUxEXFwcAMBpLtmIuP8slIyNDOVdekyZNoNFoqr3GaDTCZDIhOzvb7nIBYNasWcjJyVGOc+fO1ep5iYjo5iFJEiSNpu4HW0ac6/r165DL/SNoNBpYLBYAQKtWrWA0GrFt2zblfG5uLpKSkhAZGVlpmZ6enujWrZvNNRaLBdu2bVOu6datGzw8PGzypKSkIDU1tcpyAUCn08Hf39/mICIiNyVJkGVNnQ+OGXGyhx9+GK+//jrCwsLQoUMHHDp0CAsXLsTf/vY3ACVR55QpU/Daa6+hbdu2aNWqFebMmYPQ0FAMGTJEKadv374YOnQoJk2aBACYNm0axo4di+7du6Nnz55YvHgx8vLy8OSTTwIoGQQ7fvx4TJs2DYGBgfD398fkyZMRGRmJXr163fD3gYiIGh6pdDZNnctxw5YRlwpGli5dijlz5uDZZ59FZmYmQkND8fe//x2xsbFKnpdeegl5eXmYOHEisrOz0bt3byQkJECv1yt5fv31V1y6dEl5/dhjj+HixYuIjY1Feno6unTpgoSEBJtBrYsWLYIsyxg+fDgKCwsRHR2N5cuX35gHJyIicmOSKLu8KdVJbm4uDAYD0jMy2GVDDZLErwNq4HJzcxFsNCInJ+eGfg/Pnj0b81d9Da/b+9e5rKJLp3CbfAqHDx+ue8UaCJdqGSEiImqoJEmdLhZ20xAREZGDVFpnRJIBN2ukdL/wi4iIiFwKW0aIiIjUoNJsGrhhywiDESIiIhWoOrXXokKFGhB20xAREZFTsWWEiIhIDaXLwde5GM6mISIiIkeo1k3D5eCJiIjIIZI6U3uhRhkNjPuFX0RERORS2DJCRESkAql01966ktlNQ0RERA5Rc50RN8NghIiISAUSVFxnxM243xMTERGRS2HLCBERkRpUmk3Dqb1ERETkGLXGjLhhNw2DESIiIhVw0TPHud8TExERkUthMEJERKSG0r1p6nzUspsmLi4OPXr0gJ+fH4KCgjBkyBCkpKTU00PWDwYjREREKrB209T9qN2P5p07dyImJgb79u3D1q1bUVRUhH79+iEvL6+enlR9HDNCRETUgCUkJNi8Xr16NYKCgpCcnIx7773XSbWqHQYjREREalBrozxJhhACubm5Nsk6nQ46na7Gy3NycgAAgYGBda/LDcJuGiIiIlWo1E0jaZCRkQGDwWBzxMXF1VgDi8WCKVOm4O6770bHjh1vwDOrgy0jREREKpAkQJalupcjA8HBwTh58qRNuj2tIjExMfjll1+wZ8+eOtfjRmIwQkRE5GIkSYK/v3+trpk0aRI2bdqEXbt2oVmzZvVUs/rBYISIiEgFJbNpVGgZkWpXhhACkydPxhdffIEdO3agVatWda7DjcZghIiISCW1DSTUKCMmJgZr167Fl19+CT8/P6SnpwMADAYDvLy86lyfG4HBCBERkQpUGzNSyyJWrFgBALj//vtt0letWoVx48bVuT43AoMRIiKiBkwI4ewq1BmDESIiIjWoNWZEhTIaGgYjREREKpAkdQIJNcadNDQMRoiIiFQgQYLshAGsNwOuwEpEREROxZYRIiIiNajWTaNCXRoYBiNERERqUCkYgRsOYGU3DRERETmVywUjFy5cwBNPPIHGjRvDy8sLnTp1woEDB5TzQgjExsYiJCQEXl5eiIqKwqlTp2osd9myZWjZsiX0ej0iIiKwf/9+m/MFBQWIiYlB48aN4evri+HDhyMjI0P15yMiopuTJEmQZRUON+yncalg5MqVK7j77rvh4eGBb775BseOHcM777yDRo0aKXnmz5+PJUuWID4+HklJSfDx8UF0dDQKCgqqLHfdunWYNm0a5s6di4MHD+KOO+5AdHQ0MjMzlTxTp07Fxo0bsX79euzcuRNpaWkYNmxYvT4vERHdPEqm9qpwuF8s4lpjRt566y00b94cq1atUtLKbvgjhMDixYsxe/ZsDB48GADwySefIDg4GBs2bMDIkSMrLXfhwoWYMGECnnzySQBAfHw8Nm/ejI8++ggzZ85ETk4OPvzwQ6xduxZ9+vQBULKMbrt27bBv3z706tWrvh6ZiIhuIqpMy3XDYMSlWka++uordO/eHSNGjEBQUBC6du2K999/Xzl/5swZpKenIyoqSkkzGAyIiIhAYmJipWWaTCYkJyfbXCPLMqKiopRrkpOTUVRUZJMnPDwcYWFhVZYLAIWFhcjNzbU5iIiIqHZcKhj57bffsGLFCrRt2xbffvstnnnmGTz33HP4+OOPAUDZiTA4ONjmuuDgYOVceZcuXYLZbK72mvT0dHh6eiIgIMDucgEgLi4OBoNBOZo3b16r5yUiopuHamNG3HA2jUt101gsFnTv3h1vvPEGAKBr16745ZdfEB8fj7Fjxzq5dhXNmjUL06ZNU17n5uYyICEicldqTe11w0EjLtUyEhISgvbt29uktWvXDqmpqQAAo9EIABVmuWRkZCjnymvSpAk0Gk211xiNRphMJmRnZ9tdLgDodDr4+/vbHERE5J4klAQjdT7cLxZxrWDk7rvvRkpKik3ayZMn0aJFCwAlg1mNRiO2bdumnM/NzUVSUhIiIyMrLdPT0xPdunWzucZisWDbtm3KNd26dYOHh4dNnpSUFKSmplZZLhEREanDpbpppk6dirvuugtvvPEGHn30Uezfvx8rV67EypUrAZT0x02ZMgWvvfYa2rZti1atWmHOnDkIDQ3FkCFDlHL69u2LoUOHYtKkSQCAadOmYezYsejevTt69uyJxYsXIy8vT5ldYzAYMH78eEybNg2BgYHw9/fH5MmTERkZyZk0RERkH4kb5TnKpYKRHj164IsvvsCsWbMwb948tGrVCosXL8aoUaOUPC+99BLy8vIwceJEZGdno3fv3khISIBer1fy/Prrr7h06ZLy+rHHHsPFixcRGxuL9PR0dOnSBQkJCTaDWhctWgRZljF8+HAUFhYiOjoay5cvvzEPTkREDZ6k1t40bjiAVRJCCGdX4maRm5sLg8GA9IwMjh+hBkni1wE1cLm5uQg2GpGTk3NDv4dnz56N97ccRqtBU+pc1pWUffA68l8cPny4zmU1FC7VMkJERNRwSSrt2ut+LSMMRoiIiFQgSVBljRA3jEUYjBAREalCklRp1XDHlhGXmtpLRERE7octI0RERCooWfRMhXLcr2GEwQgREZEaVBsz4oZTexmMEBERqUGtdUbcLxbhmBEiIiJyLraMEBERqUKd2TTu2DTCYISIiEgFao0ZUWN/m4aGwQgREZEKJEmlFVjdcACFGz4yERERuRK2jBAREalAkgCNSt00FhXq05AwGCEiIlKBasGI7H7BCLtpiIiIyKnYMkJERKQCSZJU66ZxNwxGiIiIVCBDrTEjda9LQ8NghIiISAWqtYy4YTTCMSNERETkVGwZISIiUoEkAVoVWjU0HDNCREREjpBVm9qrQmUaGAYjREREKuBsGse5YfxFREREroQtI0RERCqQIEGjQh+LO7aMMBghIiJSgZrLwbsbBiNEREQqUHOjPHfDMSNERETkVGwZISIiUoGs0mwaNcpoaBiMEBERqUCCOguWuWOXhTs+MxEREbkQtowQERGpgBvlOY7BCBERkQo4m8ZxDEaIiIhUIKu1UZ4bDqBww0cmIiIiV8KWESIiIhWULAfPbhpHuHTLyJtvvglJkjBlyhQlraCgADExMWjcuDF8fX0xfPhwZGRkVFuOEAKxsbEICQmBl5cXoqKicOrUKZs8WVlZGDVqFPz9/REQEIDx48fj2rVr9fFYRER0E7KOGanrwWDEhfz4449477330LlzZ5v0qVOnYuPGjVi/fj127tyJtLQ0DBs2rNqy5s+fjyVLliA+Ph5JSUnw8fFBdHQ0CgoKlDyjRo3C0aNHsXXrVmzatAm7du3CxIkT6+XZiIjo5mNd9KzOwYjL/mSuPy75yNeuXcOoUaPw/vvvo1GjRkp6Tk4OPvzwQyxcuBB9+vRBt27dsGrVKuzduxf79u2rtCwhBBYvXozZs2dj8ODB6Ny5Mz755BOkpaVhw4YNAIDjx48jISEBH3zwASIiItC7d28sXboUn332GdLS0m7EIxMREbktlwxGYmJiMHDgQERFRdmkJycno6ioyCY9PDwcYWFhSExMrLSsM2fOID093eYag8GAiIgI5ZrExEQEBASge/fuSp6oqCjIsoykpCQ1H41UIASP8odLEhYe5Q+6qbGbxnEuN4D1s88+w8GDB/Hjjz9WOJeeng5PT08EBATYpAcHByM9Pb3S8qzpwcHBVV6Tnp6OoKAgm/NarRaBgYFVlgsAhYWFKCwsVF7n5uZW/WBERHRTU22dES565lznzp3D888/j61bt0Kv1zu7OjWKi4vDq6++6uxqEBGRC1BtBVY3bBlxqW6a5ORkZGZm4s4774RWq4VWq8XOnTuxZMkSaLVaBAcHw2QyITs72+a6jIwMGI3GSsu0ppefcVP2GqPRiMzMTJvzxcXFyMrKqrJcAJg1axZycnKU49y5c7V9ZCIiojrbtWsXHn74YYSGhkKSJGVMZEPhUsFI3759ceTIERw+fFg5unfvjlGjRil/9/DwwLZt25RrUlJSkJqaisjIyErLbNWqFYxGo801ubm5SEpKUq6JjIxEdnY2kpOTlTzbt2+HxWJBRERElfXV6XTw9/e3OYiIyD1JUGvMSO3vnZeXhzvuuAPLli1T/bluBJfqpvHz80PHjh1t0nx8fNC4cWMlffz48Zg2bRoCAwPh7++PyZMnIzIyEr169VKuCQ8PR1xcHIYOHaqsU/Laa6+hbdu2aNWqFebMmYPQ0FAMGTIEANCuXTv0798fEyZMQHx8PIqKijBp0iSMHDkSoaGhN+z5iYio4ZJV6qZxpIwHH3wQDz74YJ3v7SwuFYzYY9GiRZBlGcOHD0dhYSGio6OxfPlymzwpKSnIyclRXr/00kvIy8vDxIkTkZ2djd69eyMhIcFmXMqaNWswadIk9O3bVyl/yZIlN+y5iIiIrIQQFSZF6HQ66HQ6J9Wofrl8MLJjxw6b13q9HsuWLau2KUqUm+soSRLmzZuHefPmVXlNYGAg1q5dW6e6EhGR+1Jz196MjAwYDAab9Llz5+KVV16pc/muyOWDESIiooZAvam9JctPnDx50ib9Zm0VARiMEBERqUKCBI0K03JlSJAkya0mRbjUbBoiIiJyP2wZISIiUoEkqbNgmeRAGdeuXcPp06eV12fOnMHhw4cRGBiIsLCwOtepvjEYISIiUoEEQKPC4qmODDs5cOAAHnjgAeX1tGnTAABjx47F6tWr616pesZghIiISAWSJKmyr4wjrSv3339/hZmkDQnHjBAREZFTsWWEiIhIBSXdNGq0jNS9Lg0NgxEiIiIVSJKkzgBWuF80wmCEiIhIBc4cwNrQccwIERERORVbRoiIiFQgSVBnNo0bNo0wGCEiIlKBBJUWPat7VRocBiN0wzWkqfCWBlBZWZJq9Z7W6btSWGqVXaplfmcQ0g3srVbj/biR9SW6QRiMEBERqUCSOIDVUQxGiIiIVCBBnam9apTR0DAYISIiUoEkARonLQff0LHzkYiIiJyKLSNEREQqUKubxg0bRhiMEBERqUG1Aax1L6LBYTBCRESkArXWGeGYESIiIqIbjC0jREREKlBtNo0bLjTCYISIiEgFJd006pTjbhiMEBERqUCSJGg4ZsQhHDNCRERETsWWESIiIhWoN5um7nVpaBiMEBERqaBkAGvdy3HHYITdNERERORUbBmhG66urZhCOHadxdEL7VRT6ZZ6ur259Lmq+m2qQrKwbUqu8d9DWP7MW+bv5c/Zptfve11jpSX7f8+q8Ex2ELUo3/Zm/P3vZqbecvDu1zTCYISIiEgFJcvBczaNIxiMEBERqUC1Aax1r0qD447PTERERC6ELSNEREQqUG02jRs2EzAYISIiUoFqA1jdcEF4BiNEREQqkKS6zxa0luNuXK4xKC4uDj169ICfnx+CgoIwZMgQpKSk2OQpKChATEwMGjduDF9fXwwfPhwZGRnVliuEQGxsLEJCQuDl5YWoqCicOnXKJk9WVhZGjRoFf39/BAQEYPz48bh27Zrqz0hERER/crlgZOfOnYiJicG+ffuwdetWFBUVoV+/fsjLy1PyTJ06FRs3bsT69euxc+dOpKWlYdiwYdWWO3/+fCxZsgTx8fFISkqCj48PoqOjUVBQoOQZNWoUjh49iq1bt2LTpk3YtWsXJk6cWG/PSkRENxcZUp0PdtO4gISEBJvXq1evRlBQEJKTk3HvvfciJycHH374IdauXYs+ffoAAFatWoV27dph37596NWrV4UyhRBYvHgxZs+ejcGDBwMAPvnkEwQHB2PDhg0YOXIkjh8/joSEBPz444/o3r07AGDp0qUYMGAAFixYgNDQ0Hp+ciIiasgksJvGUS7XMlJeTk4OACAwMBAAkJycjKKiIkRFRSl5wsPDERYWhsTExErLOHPmDNLT022uMRgMiIiIUK5JTExEQECAEogAQFRUFGRZRlJSUqXlFhYWIjc31+YgIiL3JEklKyHX9XDDWMS1gxGLxYIpU6bg7rvvRseOHQEA6enp8PT0REBAgE3e4OBgpKenV1qONT04OLjKa9LT0xEUFGRzXqvVIjAwsMpy4+LiYDAYlKN58+a1fkYiIiJ359LBSExMDH755Rd89tlnzq5KpWbNmoWcnBzlOHfunLOrRERETmSdUVPXw9243JgRq0mTJimDSJs1a6akG41GmEwmZGdn27SOZGRkwGg0VlqWNT0jIwMhISE213Tp0kXJk5mZaXNdcXExsrKyqixXp9NBp9M58nhERHSTkUoHoNaVS7cS1BOXe2YhBCZNmoQvvvgC27dvR6tWrWzOd+vWDR4eHti2bZuSlpKSgtTUVERGRlZaZqtWrWA0Gm2uyc3NRVJSknJNZGQksrOzkZycrOTZvn07LBYLIiIi1HxEIiIiKsPlWkZiYmKwdu1afPnll/Dz81PGaxgMBnh5ecFgMGD8+PGYNm0aAgMD4e/vj8mTJyMyMtJmJk14eDji4uIwdOhQSJKEKVOm4LXXXkPbtm3RqlUrzJkzB6GhoRgyZAgAoF27dujfvz8mTJiA+Ph4FBUVYdKkSRg5ciRn0rgxUYu8lhoym6vIUN1lNZVZllzuFzKpknPWrckFhHK+7G9yyt+E5c80S3FpmrA5J5XJUzZ/pa+rI1XzO1EV54Rc01eXSvcnqiVVuljYTeN8K1asAADcf//9NumrVq3CuHHjAACLFi2CLMsYPnw4CgsLER0djeXLl9vkT0lJUWbiAMBLL72EvLw8TJw4EdnZ2ejduzcSEhKg1+uVPGvWrMGkSZPQt29fpfwlS5bUz4MSEdFNxTqbpq7UKKOhcblgRIiafxXU6/VYtmwZli1bZnc5kiRh3rx5mDdvXpXXBAYGYu3atfZXloiIqAw3jCNUwfZJIiIicioGI0RERCqQAMiSVPejAbWvvPnmm8jOzq5zObXqprFYLNi5cyd2796Ns2fP4vr162jatCm6du2KqKgoLvpFRERuy9127b169Spmz56N++67r8rZrPayKxjJz8/HO++8gxUrViArKwtdunRBaGgovLy8cPr0aWzYsAETJkxAv379EBsbW+n+MERERDczCep0N7hiLGIymfD111/jwoULMJvNKCwsxObNm3HLLbdgwoQJ+Otf/wpfX19oNBqEhIRgwIABNhNEamJXMHLbbbchMjIS77//Pv7yl7/Aw8OjQp6zZ89i7dq1GDlyJF5++WVMmDDB/qckIiIilzVmzBj897//hdFohIeHBzw8PHDbbbfh+++/x7x58/DJJ5+gsLAQZrMZGRkZ6NSpEw4cOGB3+XYFI1u2bEG7du2qzdOiRQvMmjULL774IlJTU+2uABER0c1CUqGPRY0y1LZlyxZ88803+Mtf/lLh3OrVq21e//rrr7jtttuQlZWlbHJbE7talGoKRMry8PBA69at7c5PRER0MygZwHpz7trbqFEjZfuUmrRu3Rq33347rl+/bnf5Dq0zUlBQgJ9//hmZmZmwWGxXOhw0aJAjRRLVO9mB3zbMdqx7Y1XTGjlVnS2/MqvF5lzV96hqjVHrbxjW367kMoPqZAhIkgRNmcWZtGV+JVFWarWuugpAMheV3twCWIoBS5kVWK0rrZZbnbVS1pVOy/072KymKpf7/aiqlVZrWuFV0lR/vmxRXIGVqEa//vprrfIfO3asVvlrHYwkJCRgzJgxuHTpUoVzkiTBbDbXtkgiIqKGz81m06ip1r8STJ48GSNGjMAff/wBi8ViczAQISIid2WdTVPXw9Vjkfvuuw+ffPIJ8vPzVSuz1sFIRkYGpk2bhuDgYNUqQURE1PBJkCR1DlfWtWtXvPjiizAajZgwYQL27dtX5zJrHYw88sgj2LFjR51vTERERA3P4sWLkZaWhlWrViEzMxP33nsv2rdvjwULFiAjI8OhMms9ZuTdd9/FiBEjsHv3bnTq1KnCmiPPPfecQxUhIiJqyNTatde120VKaLVaDBs2DMOGDUNmZiZWrlyJOXPm4P/+7/8wYMAAPPfcc+jTp4/95dW2Av/+97+xZcsW6PV67Nixw6Y5SZIkBiNEROSWJKgTSDSEYMRq//79WLVqFT777DMEBQVh3LhxuHDhAh566CE8++yzWLBggV3l1DoYefnll/Hqq69i5syZkMtPwyO6ARztTq3FLN0/71WbvDVVrIoKlJ+kWmz+M5/1r9YpxhZRUowFouRPUbFYZRpv6ch+GRI08p+beGkkAY0sQVv6K5ymsv/GljKD0c2mknKLTSXTfK1TeoUFkrm4pAKizHTfso8syTZTeoVG++dr67TdMg8gUG5156q+Ymqajlvf03U5HZiqoErLiItHI5mZmfj000+xatUqnDp1Cg8//DD+/e9/Izo6WvkeHDduHPr3719/wYjJZMJjjz3GQISIiMgNNWvWDK1bt8bf/vY3jBs3Dk2bNq2Qp3PnzujRo4fdZdY6GBk7dizWrVuH//u//6vtpURERDctCWotB1/3utSnbdu24Z577qk2j7+/P77//nu7y6x1MGI2mzF//nx8++236Ny5c4UBrAsXLqxtkURERA2eagNYXTQYyczMRFBQUJWBSHFxMQ4ePIiePXvWuuxa97UcOXIEXbt2hSzL+OWXX3Do0CGbg4iIyF1JKh2OWLZsGVq2bAm9Xo+IiAjs37+/Lo9SQUhICDIzM5XXnTp1wrlz55TXly9fRmRkpENl17plpDbNLkRERFT/1q1bh2nTpiE+Ph4RERFYvHgxoqOjkZKSgqCgIFXuUX7/rd9//x1FRUXV5rGXQxvlVebs2bN4++238e6776pVJFGDUlPzrL2/7ZSdj1JUuolecemfZkvJzJrCYguKLBYUmQXMQsAibDfc08gSPGQJHhoJHrIMnVaGRpKgkQW0sgQP8WdTsEWUrVnFWTFSUWHJn8UFkIoKSzbRsxRDmAogikxAcRGExQxYLCV/Wq+TNZC0HoDWA5KHJyBrIHt6KRvjCa3FmrGaN62Kc67ajk1uTYLk0Iac5ckOtI0sXLgQEyZMwJNPPgkAiI+Px+bNm/HRRx9h5syZda6TvRwdM1PrYOSBBx6o9GZ//PEH/vjjDwYjRETknlTaKK+2sYjJZEJycjJmzZqlpMmyjKioKCQmJqpQofpX62CkS5cuNq/NZjN+++03nD59GqtXr1apWkRERO5LCIHc3FybNJ1OB51OVyHvpUuXYDabK+wZFxwcjBMnTqhWJ0mScPXqVej1egghIEkSrl27ptSzfH1ro9bByKJFiypN/+CDD/Duu+9i1KhRDleGqD458htLbZpLLTX0lVbVjaMpVzFNmZey9OdiZwBQZLHgepEZ14ssuFpYjPwiMwrMJd01RZY/u1Y8ZBkeGgneHhp4e2hg0Gmh08rw9tAo9xCimmcru3iZdUGzYhOk4gKIgjyIwgJYrl+FJT9PeS2KTcolkqyBpNND8iw9vHwg630gyTLgYV0Ezbr4mabMw9t+JYkqu2mqH3tf5XUOlEVkL0kISA6OmShfTkZGBgwGg0363Llz8corr9S5fEcJIXDbbbfZvO7atavN6xvWTVOVvn37YvLkyWoVR0RE1MAI20C+DuUEBwfj5MmTNqmVtYoAQJMmTaDRaCpsUpeRkQGj0ahCfUrU5wQW1YKR7du344EHHlCrOCIiooZFVNwSwRGSsECSJPj7+9uV39PTE926dcO2bdswZMgQAIDFYsG2bdswadKkOtfH6r777lOtrPJqHYwMGzasQlpGRgaSkpLwwAMP2Jz//PPP61Y7opuIpop+mvLdO2X3itFYrPvHWDepKZlRc7WwGJevm3Apz4Ssa6aSLhuTGWaLBRpZhqdWhq9OiyB/HZr4eCoj/PVaGSgd8V92DxuFVK4LpdzfRXFRadfMdZgv/4GiK1dQcDkHRXkFMBeYYLFYIMsyNHpPaL08oQvwg2ejAMgWS8lsGuDPbhnrrBq5zNeQXO4rqWwXDhFVadq0aRg7diy6d++Onj17YvHixcjLy1Nm17i6Wgcj5fuwrGll+5GIiIjcj0rdNA6MO3nsscdw8eJFxMbGIj09HV26dEFCQkKFQa2OGj9+PBYvXgw/Pz+78j/77LOYN28emjRpYlf+Wgcjq1atqu0lRA1WbcZi1TTYtaoBruVbTMpusCA01mtL8hTLMjw0FliEwKU8E05lXMMf2fnIyzOhuMgCc3HpYFNZgs5Li+ZNfdDhFgOCfHUlO/aW7tarLV2HBKh8FqFNa4WmpEbCQw+5uBCSrIHFbEZxbg5yfr2Aq6mZyL9SAHORuTS7BhpPGTp/HbyCGsHQ0gK9l09JWVodhIe+pDxtaf+31rPy+5Y8SKXvWY0DVDkolZyikm20HSrGsTImTZqkardMWevWrcPzzz+Pzp0715j36tWrWLlyJWJjY+0u365gpC4jZIncRU3/RaoOVsp98VTanSOX5rQA0EKn1SDrmgmnL+QgNysfpvximM0lwUhxkRnCYobW0wOF+cVo1sgb3h4a+Ok08NLK0GskeGokZdaO7SJNouLDWIMHSzEsOh/IfkUQxUUwF5iQdTINfySnIz/PVLKomlaG1ksLjYcGnr4e8LmUDw9vPbxatIDs7QeLzgfCw6ukPGu5mj+DkfLdMo7OpiFyCgHVBrC6mjvvvBMDBgzAnXfeCa1WCw8PD7Rr1w4zZszARx99hB9++AEFBQWwWCw4duwYjEZjrQbP2hWMdOjQAbGxsRg2bBg8PT2rzHfq1CksXLgQLVq0uKErvhE1BFUFKxWDlDJfROVaLyRJhkYSCPbxRHZ+EdJ+u4L87CxIpT/EzaZ8mK7noDDnEooL81GQcyc8u92CYF9P+HjI8NLKSiCirWbJWJsWCutvaZ7egCTDIsnQaDzg4eeNtP1p2HbhKjQS0MRTC4OHDK/8ImgkCeYMAUNqLnxD/NC0XxAkQxDMOr8/gxvrPcoEIBWCDwYdRC5hzZo1WLlyJdLS0mCxWFBQUIAPPvgACQkJOHHiBKKiomAwGKDRaPDoo49izJgxtSrfrmBk6dKlmDFjBp599ln85S9/Qffu3REaGgq9Xo8rV67g2LFj2LNnD44ePYpJkybhmWeecehhidxR+SClbHBijResrRgaWYKnLCBJHtDKEjIPbYPWyweevo2g8dRDmApguXYJKMiFFkDOqSR0Dn0QTby08NSUdM/IUklwY20RqaxhxGbQamk3DSQJQuMJyUMP4ekDXXh3bEpbDal0bRCzkABJg2JJhskicNVsQdb1IgQcyUSbZrfB7NUIQuerBB+Vtnow+KAGTagym0aVrh6VNW/eHP/4xz9s0lJTU9GyZUts2rQJAwYMqFP5dgUjffv2xYEDB7Bnzx6sW7cOa9aswdmzZ5Gfn48mTZqga9euGDNmDEaNGoVGjRrVqUI3A0mS2K1FDqvso2MNUKz/Yb09NXjnoduR9J+S/296Pz00Oi9YzFrk6/KApqVdIRaBgbc1rtvNrV1EpUGHgBfgZQDaB6NR2C3w9PFScvrqNPDSyJDMFuQWmtEIwObUK+gZxAHudIPITgxohVoDWNXo6ql/YWFhiI6OrrAyuyNqNYC1d+/e6N27d51verMTQji8cyGRI7Q+/tB6ekGYi2EpMqHw2hXlXL1+FsvELl5aGf4eGuhKB8fmFltQaBaAVM91ICrDuZ819RY9ayi++eYbVcpRbdEz+pPZbIbZbK45I1FlynwPWUpfWJMsFsAsgLwiM177tmR1Rr+Q1vBpHAKNVobZLKDx9ILZXITi/GuQZAlfHb+I3mEGeGik0p17S7p/lO6gMgHFn0tZizJppV+uQpTs2GsuglRsguXMz/D0LmkVkSWglbcHGntqodFrYC4yQydLOHG1EF1aGCFnnILwDoDFw/vPMSKlrTC23TVsUaS6sRQXO7sK5IAG20G7bNkytGzZEnq9HhEREdi/f3+1+devX4/w8HDo9Xp06tQJX3/9tc15IQRiY2MREhICLy8vREVF4dSpU/X5CORuROWHRQibo8jy51FYDBQWA3kmgTyTQHahGRevF+PkpesI9PFE67uj0KLT7QhuEYAmt/gjqJk/gluHosWdvdC0XSSa3N4Th89dwemsfGRcK0ZOoRlXTRZcLxYoNJccZe9tJVnMfx5F+ZCK8iHn50C+dhFy1nmIc8eQc+Qn3N/MH3cE6NCvQ1O06dAEQZ2boGmHJjB2CUa77kb0vyMY3aNaoujkQSD9NOS8S5ALciEX5Crllux5U3oIs81R5ZtG5JJKW0bUOFzc7t278cQTTyAyMhIXLlwAAHz66afYs2ePQ+U1yJaRdevWYdq0aYiPj0dERAQWL16M6OhopKSkICgoqEL+vXv34vHHH0dcXBweeughrF27FkOGDMHBgwfRsWNHAMD8+fOxZMkSfPzxx2jVqhXmzJmD6OhoHDt2DHq9vlb1y8vLg+zMfktyippah6taZ8RSLrm4TIKpdN2Q66Vp+SYLrpnMyLhWCE9RhLO/XUBURBCu5BWhoMgMixDQAAjw0qBTJ28kp5qgNZtw7lI2ruq0CPDSwstDAy+tBH3pqFhP7Z+fVQ9rY0lxgZImmfIAAHJBHpCfA3NuFixXr6CgsAA+t+oRck9vXP75Z1y9bgJQBElI0Oo8oG3khU//vR/PPv8Arl6+DI0F0BQJQO9b8tw675L3TVvm/5em3Gy9Kv4fcZ0RqkpeXp7zbi5Q0nxZ53JcO+D+3//+h9GjR2PUqFE4dOgQCgsLAQA5OTl44403Kvyybw9JNMDO3IiICPTo0QPvvvsugJI1+Js3b47JkydXOqX4scceQ15eHjZt2qSk9erVC126dEF8fDyEEAgNDcULL7yAF198EUDJmxocHIzVq1dj5MiRdtUrNzcXBoMBp3/91e5V6ugmUlMwUkUGc7nvriKbYKQ0CCkNSvKLS3brvZxfhIvXCnGtoBh+Xh4wFZtRWGSBufRaD40MjSwhJ78ITXw9EeLvBT+9Bv46DXy0Wug8JOhKgxB9mW2CPUp3CZaLC5U0qeBayZ+maxB5ObBczYEl/yqKsy4j/3IONJ5ayFotzKaiknyyBFmrhUbnAXNhESBL0DcKgOzfCJomIYA1CPEoWQhNeP4ZjIjywYim8t+Xat6Vl9097urq1ato3aYNcnJy7N7bRQ2zZ89GxvmzWLYgrs5lbd7yHV6dvxiHDx+ue8XqQdeuXTF16lSMGTMGfn5++Omnn3Drrbfi0KFDePDBB5Genl7rMhtcy4jJZEJycjJmzZqlpMmyjKioKCQmJlZ6TWJiIqZNm2aTFh0djQ0bNgAAzpw5g/T0dERFRSnnDQYDIiIikJiYaHcwYuXl5QVvb+9aXUM3gRqCEXMVGYrLDS/SlO0uKQ1CUBqUoMgC4WFGsbYYGk89TBYLLBYBsxAoKv6zq8W62mqTQMBLq4VBr4W3hwbeOg28tJqSYKR0ExwvbSXBSNGfaZJcUkFJYwZQDItkgfCQYZEBHx8vCItFad4RFgskuWRQiuxR8vUiaz0heXlD0vtC46UHdKUzfTxLVmC1Ln4GANDa7kpaYUVWJb2mPWsYjLirYieOGZGEOlN7JRdvI0hJScG9995bId1gMCA7O9uhMmsdjPTp0wf33Xcf5s6da5N+5coVDB8+HNu3b3eoIva6dOkSzGZzhfX2g4ODceLEiUqvSU9PrzS/NXqz/lldnsoUFhYqzVNAScsI3WRq8Z1QVctHrW9ZTTGyJEErSfDWypChhclsQbF1zIdHubwy4CnL8NTI8PbQQK+VoZXkWi1xb0OSAY0HJI+S1gsZgKTTQ5iLS5qmrYcsK4ek0QIaD8h6L0haT0CqGESU/fK29x2s6Qu/5pYTm9JqkZeoOu4xtddoNOL06dNo2bKlTfqePXtw6623OlRmrYORHTt24MiRIzh06BDWrFkDH5+SplaTyYSdO3c6VImGKi4uDq+++qqzq0ENRFVBhj0/gK0BhFYjwVPIyjgTrUZCsblkkfiyY1JkSYJszS/L0GtLghKtpmS3Xod+/EoSJK22pGXDGlRoPCCZi0paR8p+gUpySQuJxgOSVlsSwJT+vdpAofyXcFVvGtfxIZfk3L1pbpQJEybg+eefx0cffQRJkpCWlobExES88MILtdqPpiyHumm+++47/P3vf0evXr2wcePGCtFRfWrSpAk0Gg0yMjJs0jMyMqpcB99oNFab3/pnRkYGQkJCbPJUt5jLrFmzbLp/cnNz0bx581o9D5E9rD97Zfw54FSrKeniKdYKWEqjE4sQysqqWo0EGRK0GkCv1ZR03UiARipJr/bnedmAofTvQtYAshaShwRJo4XQaiE8S6b6wmKBEGVaRlCydD3KBCTQeJQEMQwkiBq0mTNnwmKxoG/fvrh+/Truvfde6HQ6TJ8+HU899ZRDZTo05DwkJAQ7d+5Ep06d0KNHD+zYscOhmzvC09MT3bp1w7Zt25Q0i8WCbdu2ITIystJrIiMjbfIDwNatW5X8rVq1gtFotMmTm5uLpKSkKssEAJ1OB39/f5uDiIjclHWjvDpP63XtlhFJkvDyyy8jKysLv/zyC/bt24eLFy/CYDCgVatWDpVZ65YR6zLnOp0Oa9euxWuvvYb+/ftjxowZDlXAEdOmTcPYsWPRvXt39OzZE4sXL0ZeXh6efPJJAMCYMWNwyy23IC6uZFTz888/j/vuuw/vvPMOBg4ciM8++wwHDhzAypUrlWeaMmUKXnvtNbRt21aZ2hsaGoohQ4bcsOeielbP/79rKt6RllellaP01wYZgFkIaDxkmIUMeJSuU1JJF3PJONKS7hpZLm0RkQENSga3alDJ3jSlaQJlB7CW3lzjWdLFYikGLB6QNJ6lYzcEYDFDlJujLFk31pG1gCRDSBKERvvnoNRKxo9UUFXfuaihdaVWjS+OfDDYukOVubkHsBYWFuKVV17B1q1blZaQIUOGYNWqVRg6dCg0Gg2mTp3qUNm1DkbKzwSePXs22rVrh7FjxzpUAUc89thjuHjxImJjY5Geno4uXbogISFBGYCamppqs87HXXfdhbVr12L27Nn4v//7P7Rt2xYbNmxQ1hgBgJdeegl5eXmYOHEisrOz0bt3byQkJNR6jREiInJTN/neNLGxsXjvvfcQFRWFvXv3YsSIEXjyySexb98+vPPOOxgxYgQ0Gjt+yahErYORM2fOoGnTpjZpw4cPR3h4OA4cOOBQJRwxadIkTJo0qdJzlXUbjRgxAiNGjKiyPEmSMG/ePMybN0+tKtJNQK0ZMrVRtqVCU258hUYGNChtDS4dK1fZ15ZcptVDkkpaQyChtJWkZOyIvWNGrLv2SqXpQtYCQkAIMyAsNsvFlyXKPIyQ5JIyy44ZqW733jqqzW+n9XF/opvR+vXr8cknn2DQoEH45Zdf0LlzZxQXF+Onn36q8+awtQ5GWrRoUWl6hw4d0KFDhzpVhoiIqOG6uTfKO3/+PLp16wYA6NixI3Q6HaZOnarKLvUNbtEzIhf9f+qw8v+NNWVSZLl0EbIyaaJ0vER13crW74ays3Cksq0lKGllKX8/5c0t080pROkCJpL85xdt2eboKlpGKquQqGSWjk0TTYNppXD0Q8ixJje3m7ubxmw2w9Pzz1WStVotfH19VSmbwUg9yM/Ph1bLt7a+3MixXVXtJ+MIc/lNaEqVTzWXSbCO0Sqbx1qlKooDULKLLlAmKMGfg8/l0mDkz8GxZYIf650sZZaFtZSsaClZisu8+X+uuiqVD0oqY50eXDbYUO5bNs22v7nKLhQ196a5kVONG0yw1XDl5+c77d6SqF0XYZVcdACrEALjxo2DTleyUnJBQQGefvppZb0xq88//7zWZfMnJhEREdWo/ESVJ554QrWyGYwQuZgyDRWwWLtWSl8LIf7seqlpdmuZlpCyZVhbSWq6vkxBJfeWtWVaQaTSkbQCJfsEW1CSYI9yrQNcBI1uFkLc1Lv2rlq1qt7KZjBCRESkCvdYDr4+sAOTiIiInIotI0RERGqwLgdf53JcczZNfWIwQnSDVDkXv5omWU3pJUoOO8ZXlM+hjBUpc22N40XK3kf8OTVHWNPFn42qJeNIyowXsfeLtJKZJRVmz3A8CTUoKi0Hf7OtX2AHBiNERESqUGudEfcLRjhmhIiIiJyKLSNERERquMk3yqtPDEaIiIjUIITt6sUOl8NghIhusPIDW212iintO655vGnlOaobqGpdDt7m0sq6qq1LtFv7sYXF5iJR4d7l8teEg1TppiEgVFj0TFS318NNimNGiIiIyKnYMkJERKQGdtM4jMEIERGRGhiMOIzBCBERkQqEsECYVQhG1AhoGhiOGSEiIiKnYssIERGRGgQAFWbTwA1n0zAYIbpBatwPpjIqTXuVKymn2qLL7hFj7b+2XiDZMXW33PRf1VWyrw2R0wkLx4w4iP+jiYiIyKnYMkJERKQGISBUaBlRY+G0hobBCBERkSqEOmNG3LCbhsEIERGRCoRaLSNuGIxwzAgRERE5FVtGiIiI1KDWCqwcM0JEREQOEWqNGeE6I0REROQIIVRaDt79WkY4ZoSIiIicii0jREREauCYEYcxGCGqRmXLqFfFcgP6eWtTn/IcvrSypddrWu7dumR8ZW5Ef3h9LkVPVBW1ghHhfrv2MhghIiJSgxCqrJ4q3HCjPI4ZISIiIqdiywgREZEq1Oqm4ZgRIiIicoSwMBhxkMt00xQVFWHGjBno1KkTfHx8EBoaijFjxiAtLc0mX1ZWFkaNGgV/f38EBARg/PjxuHbtWrVlFxQUICYmBo0bN4avry+GDx+OjIwMmzypqakYOHAgvL29ERQUhOnTp6O4uFj15yQiIiJbLhOMXL9+HQcPHsScOXNw8OBBfP7550hJScGgQYNs8o0aNQpHjx7F1q1bsWnTJuzatQsTJ06stuypU6di48aNWL9+PXbu3Im0tDQMGzZMOW82mzFw4ECYTCbs3bsXH3/8MVavXo3Y2Nh6eVYiIrr5iNIBrGoc7sZlumkMBgO2bt1qk/buu++iZ8+eSE1NRVhYGI4fP46EhAT8+OOP6N69OwBg6dKlGDBgABYsWIDQ0NAK5ebk5ODDDz/E2rVr0adPHwDAqlWr0K5dO+zbtw+9evXCli1bcOzYMXz33XcIDg5Gly5d8I9//AMzZszAK6+8Ak9Pz/p/A4iIqGFTbWqv+wUjLtMyUpmcnBxIkoSAgAAAQGJiIgICApRABACioqIgyzKSkpIqLSM5ORlFRUWIiopS0sLDwxEWFobExESl3E6dOiE4OFjJEx0djdzcXBw9erQenoyIiG461mCkzof7BSMu0zJSXkFBAWbMmIHHH38c/v7+AID09HQEBQXZ5NNqtQgMDER6enql5aSnp8PT01MJaKyCg4OVa9LT020CEet567mqFBYWorCwUHmdm5tr38MRERGRwmktI2vWrIGvr69y7N69WzlXVFSERx99FEIIrFixwllVrFFcXBwMBoNyNG/e3NlVIiIiZyndKK+uhzu2jDgtGBk0aBAOHz6sHNauF2sgcvbsWWzdulVpFQEAo9GIzMxMm3KKi4uRlZUFo9FY6X2MRiNMJhOys7Nt0jMyMpRrjEZjhdk11tdVlQsAs2bNQk5OjnKcO3fOvocnIqKbjxAlgURdj3rcMuH111/HXXfdBW9v7wo9Bs7ktGDEz88Pbdq0UQ4vLy8lEDl16hS+++47NG7c2OaayMhIZGdnIzk5WUnbvn07LBYLIiIiKr1Pt27d4OHhgW3btilpKSkpSE1NRWRkpFLukSNHbAIdayDUvn37Kp9Bp9PB39/f5iAiInfl+mNGTCYTRowYgWeeeabe7uEIlxkzUlRUhEceeQQHDx7Epk2bYDablfEagYGB8PT0RLt27dC/f39MmDAB8fHxKCoqwqRJkzBy5EhlJs2FCxfQt29ffPLJJ+jZsycMBgPGjx+PadOmITAwEP7+/pg8eTIiIyPRq1cvAEC/fv3Qvn17jB49GvPnz0d6ejpmz56NmJgY6HQ6p70nREREanr11VcBAKtXr3ZuRcpxmWDkwoUL+OqrrwAAXbp0sTn3/fff4/777wdQMtZk0qRJ6Nu3L2RZxvDhw7FkyRIlb1FREVJSUnD9+nUlbdGiRUrewsJCREdHY/ny5cp5jUaDTZs24ZlnnkFkZCR8fHwwduxYzJs3r/4emBzm6Ias9b1ZbF121K0tp29KW9lOvvaoabffhsLR56ebWsk6I3Wf2ivccGqvywQjLVu2hLDjp0VgYCDWrl1bq3L0ej2WLVuGZcuWVXldixYt8PXXX9tfYSIiorLU2rVXWCCEqDBDU6fT3bSt9QzviYiIXExGRobNbE2DwYC4uLhK886cOROSJFV7nDhx4gY/Qe24TMsIERFRgyYEhFmFlhGLQHBwME6ePGmTXlWryAsvvIBx48ZVW+att95a53rVJwYjREREKhAqBSMwWyBJkt0zNJs2bYqmTZvW/b5OxGCEiIhIDaqNGam/0fapqanIyspCamoqzGYzDh8+DABo06YNfH196+2+NWEwQkRE5CZiY2Px8ccfK6+7du0KwHbWqjMwGCEiIlKBEFBpzEj9Te1dvXq1y60xAjAYISIiUodFpTEjlnpeFMkFMRghIiJSgRACFnPdFz2zcKM8IiIiohuLLSNERERqUGk2DbtpiIiIyCFqrTNSnwNYXRWDESIiIjWouAKru+GYESIiInIqtowQERGpQcVde90NgxEiIiIVlEztZTeNI9hNQ0RERE7FlhEiIiIVqLccvPu1jDAYISIiUoNay8GrUUYDw2CE3IYkObsGBIk9w3QzU2sAq/u1jPCbgYiIiJyKLSNEREQqECp103AFViIiInKMSiuwcm8aIiIicogQgEWFVg2LGwYjHDNCRERETsWWESIiIhVw117HMRghIiJSgxAQZnPdy2EwQkRERA5RbaM8jhkhIiIiuqHYMkJERKQCjhlxHIMRIiIiNXCdEYexm4aIiIicii0jREREKhAWAYsKLSNqlNHQMBghIiJSCWfTOIbBCBERkQrU2iiPY0aIiIiIbjC2jBAREalBCAhz3Vs1BFtGXMfTTz8NSZKwePFim/SsrCyMGjUK/v7+CAgIwPjx43Ht2rVqyyooKEBMTAwaN24MX19fDB8+HBkZGTZ5UlNTMXDgQHh7eyMoKAjTp09HcXGx2o9FREQ3KSFKBrDW9XDHdUZcMhj54osvsG/fPoSGhlY4N2rUKBw9ehRbt27Fpk2bsGvXLkycOLHa8qZOnYqNGzdi/fr12LlzJ9LS0jBs2DDlvNlsxsCBA2EymbB37158/PHHWL16NWJjY1V/NiIiukmJ0nEjdT6c/SA3nssFIxcuXMDkyZOxZs0aeHh42Jw7fvw4EhIS8MEHHyAiIgK9e/fG0qVL8dlnnyEtLa3S8nJycvDhhx9i4cKF6NOnD7p164ZVq1Zh79692LdvHwBgy5YtOHbsGP71r3+hS5cuePDBB/GPf/wDy5Ytg8lkqvdnJiIicmcuFYxYLBaMHj0a06dPR4cOHSqcT0xMREBAALp3766kRUVFQZZlJCUlVVpmcnIyioqKEBUVpaSFh4cjLCwMiYmJSrmdOnVCcHCwkic6Ohq5ubk4evRolfUtLCxEbm6uzUFERO5JCMBiFnU+OGbEyd566y1otVo899xzlZ5PT09HUFCQTZpWq0VgYCDS09OrvMbT0xMBAQE26cHBwco16enpNoGI9bz1XFXi4uJgMBiUo3nz5tU+HxER3byse9PU+WAwcuOsWbMGvr6+yrFz507885//xOrVqyFJkrOqVSuzZs1CTk6Ocpw7d87ZVSIiImcpnU1T54PByI0zaNAgHD58WDn27t2LzMxMhIWFQavVQqvV4uzZs3jhhRfQsmVLAIDRaERmZqZNOcXFxcjKyoLRaKz0PkajESaTCdnZ2TbpGRkZyjVGo7HC7Brr66rKBQCdTgd/f3+bg4iIiGrHacGIn58f2rRpoxwTJ07Ezz//bBOghIaGYvr06fj2228BAJGRkcjOzkZycrJSzvbt22GxWBAREVHpfbp16wYPDw9s27ZNSUtJSUFqaioiIyOVco8cOWIT6GzduhX+/v5o3759fTw+ERHdZISFY0Yc5TKLnjVu3BiNGze2SfPw8IDRaMTtt98OAGjXrh369++PCRMmID4+HkVFRZg0aRJGjhypTAO+cOEC+vbti08++QQ9e/aEwWDA+PHjMW3aNAQGBsLf3x+TJ09GZGQkevXqBQDo168f2rdvj9GjR2P+/PlIT0/H7NmzERMTA51Od2PfCCIiapiEOsvBlwQjDWO4glpcJhix15o1azBp0iT07dsXsixj+PDhWLJkiXK+qKgIKSkpuH79upK2aNEiJW9hYSGio6OxfPly5bxGo8GmTZvwzDPPIDIyEj4+Phg7dizmzZt3Q5+NiIjIHbl0MPL7779XSAsMDMTatWurvKZly5YVdjzU6/VYtmwZli1bVuV1LVq0wNdff+1wXYmIyL0JAVhU6GJhywgRERE5hnvTOIzBCBERkQpKFj1TacyIS60CVv/c7HGJiIjI1bBlhIiISAVCzW4aN2sqYDBCRESkBgtUCkZUqEsDw2CEiIhIBUIIlcaMuF804mYNQURERORq2DJCRESkBqHOtFx20xAREZFDSrppuM6IIxiMEBERqUG1vWncr2mEY0aIiIjIqdgyQkREpAIhOLXXUQxGiIiIVFCyHDzHjDiC3TRERETkVGwZISIiUoMQqgw+FcL9WkYYjBAREalAWFSa2qtCGQ0NgxEiIiI1qDaA1f2CEY4ZISIiIqdiMEJERKQCUbroWZ2PemoZ+f333zF+/Hi0atUKXl5eaN26NebOnQuTyVQv96sNdtMQERGpwNWn9p44cQIWiwXvvfce2rRpg19++QUTJkxAXl4eFixYUC/3tBeDESIiIjUI4dJjRvr374/+/fsrr2+99VakpKRgxYoVTg9G2E1DRETkpnJychAYGOjsarBlhIiISA1CABYV1ggRomT8SW5urk26TqeDTqerc/lWp0+fxtKlS53eKgKwZYSIiEgVAoBZiDofFghkZGTAYDDYHHFxcZXed+bMmZAkqdrjxIkTNtdcuHAB/fv3x4gRIzBhwoQb8O5Ujy0jREREKhACUGO9MosAgoODcfLkSZv0qlpFXnjhBYwbN67aMm+99Vbl72lpaXjggQdw1113YeXKlXWurxoYjBAREbkYSZLg7+9vV96mTZuiadOmduW9cOECHnjgAXTr1g2rVq2CLLtGBwmDESIiIhUIlHSz1JUaZVTmwoULuP/++9GiRQssWLAAFy9eVM4ZjcZ6uae9GIwQERGpwAKVumnqXkSltm7ditOnT+P06dNo1qyZzTlnb87nGu0zREREVK/GjRtXskpsJYezsWWEiIhIBSUDWOv+g90N98ljMEJERKSGkqm9dS+HwQgRERE5RAh1BrCqsXBaQ8MxI0RERORUbBkhIiJSgWrdNHUvosFhMEJERKQC1ab2ul8vjet10xw/fhyDBg2CwWCAj48PevTogdTUVOV8QUEBYmJi0LhxY/j6+mL48OHIyMiotkwhBGJjYxESEgIvLy9ERUXh1KlTNnmysrIwatQo+Pv7IyAgAOPHj8e1a9fq5RmJiOjmY51NU+e9aThmxLl+/fVX9O7dG+Hh4dixYwd+/vlnzJkzB3q9XskzdepUbNy4EevXr8fOnTuRlpaGYcOGVVvu/PnzsWTJEsTHxyMpKQk+Pj6Ijo5GQUGBkmfUqFE4evQotm7dik2bNmHXrl2YOHFivT0rERERlZCEK6x2UmrkyJHw8PDAp59+Wun5nJwcNG3aFGvXrsUjjzwCADhx4gTatWuHxMRE9OrVq8I1QgiEhobihRdewIsvvqiUExwcjNWrV2PkyJE4fvw42rdvjx9//BHdu3cHACQkJGDAgAE4f/48QkND7ap/bm4uDAYDTv/6K/z8/Bx5C4icSnKdrwMih1y9ehWt27RBTk6O3Xu7qGH27Nn4fv67eFQfXOeyjhZfw/7bmuLw4cN1r1gD4TItIxaLBZs3b8Ztt92G6OhoBAUFISIiAhs2bFDyJCcno6ioCFFRUUpaeHg4wsLCkJiYWGm5Z86cQXp6us01BoMBERERyjWJiYkICAhQAhEAiIqKgizLSEpKUvlJiYjoZiRU6KJhN42TZWZm4tq1a3jzzTfRv39/bNmyBUOHDsWwYcOwc+dOAEB6ejo8PT0REBBgc21wcDDS09MrLdeaHhxsG62WvSY9PR1BQUE257VaLQIDA6ssFwAKCwuRm5trcxAREVHtOC0YWbNmDXx9fZUjJSUFADB48GBMnToVXbp0wcyZM/HQQw8hPj7eWdWsVlxcHAwGg3I0b97c2VUiIiInsc6mUeNwN04LRgYNGoTDhw8rR5cuXaDVatG+fXubfO3atVNm0xiNRphMJmRnZ9vkycjIqHL7Y2t6+Rk3Za8xGo3IzMy0OV9cXIysrKxqt1WeNWsWcnJylOPcuXM1PzgREd2UStYZUaGbxtkP4gROC0b8/PzQpk0b5TAYDOjRo4fSQmJ18uRJtGjRAgDQrVs3eHh4YNu2bcr5lJQUpKamIjIystL7tGrVCkaj0eaa3NxcJCUlKddERkYiOzsbycnJSp7t27fDYrEgIiKiymfQ6XTw9/e3OYiIyD0JlVpF3HGdEZda9Gz69Ol47LHHcO+99+KBBx5AQkICNm7ciB07dgAoGXg6fvx4TJs2DYGBgfD398fkyZMRGRlpM5MmPDwccXFxGDp0KCRJwpQpU/Daa6+hbdu2aNWqFebMmYPQ0FAMGTIEQEnrS//+/TFhwgTEx8ejqKgIkyZNwsiRI+2eSUNERESOcalgZOjQoYiPj0dcXByee+453H777fjf//6H3r17K3kWLVoEWZYxfPhwFBYWIjo6GsuXL7cpJyUlBTk5Ocrrl156CXl5eZg4cSKys7PRu3dvJCQk2KxfsmbNGkyaNAl9+/ZVyl+yZEn9PzQREd0UrN00deWOs2lcap2Rho7rjFBDx3VGqKFz5jojCW8uxUMeTetc1klzHo61D3ardUZcqmWEiIioobKuM1JX7tgy4jLrjBAREZF7YssIERGRCkrGjNS9HHPdi2hwGIwQERGpoGTRMzW6aepel4aGwQgREZEKrOuM1JU7BiMcM0JEREROxZYRIiIiFQioNJsG7tc0wmCEiIhIBeymcRy7aYiIiMip2DJCRESkAvVm07hf0wiDESIiIhWotc6Ipe5FNDjspiEiIqqjkJAQZKIQQoXBpxkoRNZPKSrUquFgMEJERFRH48ePRyEsOIW8OpWTh2IcwVX8b/8ulWrWMDAYISIiqiO9Xo8Vn67Gj8hGcR1aR35ENlrACz169FCxdq6PwQgREZEK/vrXv0IPDX5BrkPXX4YJp3EdW349onLNXB+DESIiIhXIsozPvvsah5CDAge2u9uHK2gPX9x66631UDvXxmCEiIhIJX379kUwdDiInFpddx75yIQJOy7/Xj8Vc3EMRoiIiFT09ZEfcQzXkIMiu/ILCOzDFdwJfwQGBtZz7VwTgxEiIiIVdezYEW3gjf3Itiv/KeShEBZ8n/9H/VbMhTEYISIiUtm28ylIRT4yUFhtvmJY8COy8d6aT6DX629Q7VwPgxEiIiKV3XLLLegMf+zDlWoXQvsFV6GHBiNHjryBtXM9DEaIiIjqwY7cc8hBEc4iv9Lz+TDjEHLwn+0JkGX3/nHs3k9PRERUT/z8/PDO8neRhCswV9I6chA5MEKPBx54wAm1cy0MRoiIiOrJU089BQHgBK7ZpOegCMdxDd8cPeCcirkYBiNERET1xMPDA6u/WI9kZMNUZj/e/chGW/igffv2Tqyd62AwQkREVI8GDx4MAzzwU+ky8RkoRCrysT3tpJNr5joYjBAREdUjSZKwYd9O/Ixc5KEY+3AFd8AfISEhzq6ay9A6uwJEREQ3u4iICITBC18jE/kw49TVS86ukkthMKIiIUpGS1+9etXJNSFyjCQc3/qcyBVYv3+FC36Wt5z+Gbe3aYtl8Svg6+vr7Oq4FEm44r9YA3X+/Hk0b97c2dUgInJ7586dQ7NmzZxdDbITgxEVWSwWpKWlwc/PD5IkObs6AIDc3Fw0b94c586dg7+/v7OrY7eGWm+AdXeGhlpvoOHW3VXrLYTA1atXERoa6vYLiTUk7KZRkSzLLhuJ+/v7u9QXhr0aar0B1t0ZGmq9gYZbd1est8FgcHYVqJYYNhIREZFTMRghIiIip2IwcpPT6XSYO3cudDqds6tSKw213gDr7gwNtd5Aw617Q603uSYOYCUiIiKnYssIERERORWDESIiInIqBiNERETkVAxGGoDjx49j0KBBMBgM8PHxQY8ePZCamqqcLygoQExMDBo3bgxfX18MHz4cGRkZ1ZYphEBsbCxCQkLg5eWFqKgonDp1yiZPVlYWRo0aBX9/fwQEBGD8+PG4du2aQ8/w9NNPQ5IkLF68uM73sOd5U1NTMXDgQHh7eyMoKAjTp09HcXGxXXUtKirCjBkz0KlTJ/j4+CA0NBRjxoxBWlqay9e9vGXLlqFly5bQ6/WIiIjA/v37q82/fv16hIeHQ6/Xo1OnTvj6669tztvzuamtuLg49OjRA35+fggKCsKQIUOQkpJik6chfMbffPNNSJKEKVOmNIh6X7hwAU888QQaN24MLy8vdOrUCQcOHKhVPSpT02fOkfeE3IAgl3b69GkRGBgopk+fLg4ePChOnz4tvvzyS5GRkaHkefrpp0Xz5s3Ftm3bxIEDB0SvXr3EXXfdVW25b775pjAYDGLDhg3ip59+EoMGDRKtWrUS+fn5Sp7+/fuLO+64Q+zbt0/s3r1btGnTRjz++OO1fobPP/9c3HHHHSI0NFQsWrTI5pwj96jpeYuLi0XHjh1FVFSUOHTokPj6669FkyZNxKxZs+yqb3Z2toiKihLr1q0TJ06cEImJiaJnz56iW7duLl/3sj777DPh6ekpPvroI3H06FExYcIEERAQYPPZKeuHH34QGo1GzJ8/Xxw7dkzMnj1beHh4iCNHjih57Pnc1FZ0dLRYtWqV+OWXX8Thw4fFgAEDRFhYmLh27ZqSx9U/4/v37xctW7YUnTt3Fs8//7zL1zsrK0u0aNFCjBs3TiQlJYnffvtNfPvtt+L06dO1qkd59nzmHHlP6ObHYMTFPfbYY+KJJ56o8nx2drbw8PAQ69evV9KOHz8uAIjExMRKr7FYLMJoNIq3337bphydTif+/e9/CyGEOHbsmAAgfvzxRyXPN998IyRJEhcuXLC7/ufPnxe33HKL+OWXX0SLFi1sghFH7mHP83799ddClmWRnp6u5FmxYoXw9/cXhYWFdte9rP379wsA4uzZsw2m7j179hQxMTHKa7PZLEJDQ0VcXFyl+R999FExcOBAm7SIiAjx97//XQhh3+dGDZmZmQKA2Llzp3IPV/6MX716VbRt21Zs3bpV3HfffUow4sr1njFjhujdu3eV5x39t67pM+fIe0Lugd00LsxisWDz5s247bbbEB0djaCgIERERGDDhg1KnuTkZBQVFSEqKkpJCw8PR1hYGBITEyst98yZM0hPT7e5xmAwICIiQrkmMTERAQEB6N69u5InKioKsiwjKSnJ7vqPHj0a06dPR4cOHSqcd+Qe9jxvYmIiOnXqhODgYCVPdHQ0cnNzcfToUbvqXl5OTg4kSUJAQECDqLvJZEJycrLNvWRZRlRUVJWfi8TERJv81ntb89vzuVFDTk4OACAwMBCAa3/GASAmJgYDBw6s8N65cr2/+uordO/eHSNGjEBQUBC6du2K999/v1b1KM+ez5wj7wm5BwYjLiwzMxPXrl3Dm2++if79+2PLli0YOnQohg0bhp07dwIA0tPT4enpqfyQtAoODkZ6enql5VrTy/7AK39Neno6goKCbM5rtVoEBgZWWW55b731FrRaLZ577rkq61Hbe9jzvOnp6ZU+m/VcbRUUFGDGjBl4/PHHlT04XL3uly5dgtlsrvbfuLL61fSZKFsfe8qsLYvFgilTpuDuu+9Gx44dlfu66mf8s88+w8GDBxEXF1dpHVy13r/99htWrFiBtm3b4ttvv8UzzzyD5557Dh9//LHd9SjPns+cI+8JuQcGIy5kzZo18PX1VQ7rIL7Bgwdj6tSp6NKlC2bOnImHHnoI8fHxTq6trfJ137lzJ/75z39i9erVLrODcVXK13337t3KuaKiIjz66KMQQmDFihVOrKV7iImJwS+//ILPPvvM2VWp0blz5/D8889jzZo10Ov1zq5OrVgsFtx5551444030LVrV0ycOBETJkxwue8Vch8MRlzIoEGDcPjwYeXo0qULtFot2rdvb5OvXbt2ymwao9EIk8mE7OxsmzwZGRkwGo2V3seaXn4Ee9lrjEYjMjMzbc4XFxcjKyur0nLL133v3r3IzMxEWFgYtFottFotzp49ixdeeAEtW7Z06B72Pq/RaKz02co+e3V1tzZ/WwORs2fPYuvWrTY7k7pK3avSpEkTaDSaav+NK6tfTZ+JsvWxp8zamDRpEjZt2oTvv//eZvdrV/mMl5ecnIzMzEzceeedymd8586dWLJkCbRaLYKDg12y3gAQEhJS4/dKTfUoz57PnCP/luQmnD1ohaoXGRlZYQDrkCFDlJHz1gFh//3vf5XzJ06csGuQ3IIFC5S0nJycSgfJHThwQMnz7bff2j1I7tKlS+LIkSM2R2hoqJgxY4Y4ceKEw/ew53mtg0DLjuB/7733hL+/vygoKKix7kIIYTKZxJAhQ0SHDh1EZmZmhfOuXHernj17ikmTJimvzWazuOWWW6odwPrQQw/ZpEVGRlYYwFrd58YRFotFxMTEiNDQUHHy5MkK5131M56bm1vhM969e3fxxBNPiCNHjrhsvYUQ4vHHH68wgHXKlCkiMjLS7npUpqbPnCPvCbkHBiMu7vPPPxceHh5i5cqV4tSpU2Lp0qVCo9GI3bt3K3mefvppERYWJrZv3y4OHDggIiMjlS8Vq9tvv118/vnnyus333xTBAQEiC+//FL8/PPPYvDgwZVOH+zatatISkoSe/bsEW3btnVo2qNV+dk09tzj/Pnz4vbbbxdJSUl2P691emy/fv3E4cOHRUJCgmjatKnd02NNJpMYNGiQaNasmTh8+LD4448/lKPsjBZXrHtZn332mdDpdGL16tXi2LFjYuLEiSIgIECZqTN69Ggxc+ZMJf8PP/wgtFqtWLBggTh+/LiYO3dupVN7a/rc1NYzzzwjDAaD2LFjh817ff36dSVPQ/mMl51N48r13r9/v9BqteL1118Xp06dEmvWrBHe3t7iX//6V63q0adPH7F06VLldU2fOXvfE3I/DEYagA8//FC0adNG6PV6cccdd4gNGzbYnM/PzxfPPvusaNSokfD29hZDhw4Vf/zxh00eAGLVqlXKa4vFIubMmSOCg4OFTqcTffv2FSkpKTbXXL58WTz++OPC19dX+Pv7iyeffFJcvXrV4eeoLBip6R5nzpwRAMT3339fq+f9/fffxYMPPii8vLxEkyZNxAsvvCCKiorsqqf1npUdZevhinUvb+nSpSIsLEx4enqKnj17in379inn7rvvPjF27Fib/P/5z3/EbbfdJjw9PUWHDh3E5s2bbc7b87mprare67Kf14byGS8fjLhyvTdu3Cg6duwodDqdCA8PFytXrrQ5b089WrRoIebOnWuTVt1nzt73hNwPd+0lIiIip+IAViIiInIqBiNERETkVAxGiIiIyKkYjBAREZFTMRghIiIip2IwQkRERE7FYISIiIicisEIERERORWDESI38+GHH6Jfv371fp+EhAR06dIFFoul3u9FRA0bgxEiN1JQUIA5c+Zg7ty59X6v/v37w8PDA2vWrKn3exFRw8ZghMiN/Pe//4W/vz/uvvvuG3K/cePGYcmSJTfkXkTUcDEYIWqAPvnkEzRu3BiFhYU26UOGDMHo0aOrvO6zzz7Dww8/bJN2//33Y8qUKRXKGTdunPK6ZcuWeO211zBmzBj4+vqiRYsW+Oqrr3Dx4kUMHjwYvr6+6Ny5Mw4cOGBTzsMPP4wDBw7g119/dexBicgtMBghaoBGjBgBs9mMr776SknLzMzE5s2b8be//a3K6/bs2YPu3bs7dM9Fixbh7rvvxqFDhzBw4ECMHj0aY8aMwRNPPIGDBw+idevWGDNmDMruvRkWFobg4GDs3r3boXsSkXtgMELUAHl5eeGvf/0rVq1apaT961//QlhYGO6///5Kr8nOzkZOTg5CQ0MduueAAQPw97//HW3btkVsbCxyc3PRo0cPjBgxArfddhtmzJiB48ePIyMjw+a60NBQnD171qF7EpF7YDBC1EBNmDABW7ZswYULFwAAq1evxrhx4yBJUqX58/PzAQB6vd6h+3Xu3Fn5e3BwMACgU6dOFdIyMzNtrvPy8sL169cduicRuQetsytARI7p2rUr7rjjDnzyySfo168fjh49is2bN1eZv3HjxpAkCVeuXKmxbLPZXCHNw8ND+bs14KksrfxU3qysLDRt2rTGexKR+2LLCFED9tRTT2H16tVYtWoVoqKi0Lx58yrzenp6on379jh27FiFc+W7Vn777TdV6ldQUIBff/0VXbt2VaU8Iro5MRghasD++te/4vz583j//ferHbhqFR0djT179lRI//LLL/H555/j119/xeuvv45jx47h7NmzSheQo/bt2wedTofIyMg6lUNENzcGI0QNmMFgwPDhw+Hr64shQ4bUmH/8+PH4+uuvkZOTY5M+cOBAzJ8/H+3bt8euXbuwfPly7N+/H59++mmd6vfvf/8bo0aNgre3d53KIaKbmyTKzsMjoganb9++6NChg92Li40YMQJ33nknZs2aBaBknZEuXbpg8eLFqtbr0qVLuP3223HgwAG0atVK1bKJ6ObClhGiBurKlSv44osvsGPHDsTExNh93dtvvw1fX996rFmJ33//HcuXL2cgQkQ14mwaogaqa9euuHLlCt566y3cfvvtdl/XsmVLTJ48uR5rVqJ79+4OL7BGRO6F3TRERETkVOymISIiIqdiMEJEREROxWCEiIiInIrBCBERETkVgxEiIiJyKgYjRERE5FQMRoiIiMipGIwQERGRUzEYISIiIqf6f+IKbII81ntkAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "_ = mzm_solver.plot_field(\"Ey\", \"real\", f=rf_freqs[0], mode_index=0, robust=True)" ] @@ -542,15 +1227,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "id": "a7147eea", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "n_eff = mzm_solver.data.n_eff.isel(mode_index=0).values\n", "\n", "# Calculate Z0\n", - "Z0_mzm= np.conjugate(\n", + "Z0_mzm = np.conjugate(\n", " mw.ImpedanceCalculator(voltage_integral=V_int, current_integral=I_int).compute_impedance(\n", " mzm_mode_data\n", " )\n", @@ -575,16 +1271,36 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "id": "82671b9d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "\n", "v0 = WP1.voltage_integral.compute_voltage(mzm_solver.data)\n", "ey_norm = (mzm_solver.data.Ey / v0).isel(f=0, mode_index=0, drop=True).abs\n", "\n", - "offset = cpw_width/2 + cpw_gap/2\n", + "offset = cpw_width / 2 + cpw_gap / 2\n", "ey_norm = ey_norm.assign_coords(y=ey_norm.y - offset)\n", "\n", "ey_norm.isel(x=0).transpose(\"z\", \"y\").plot(robust=True)\n", @@ -601,12 +1317,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "id": "c2e97084", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlQAAAHHCAYAAAB5gsZZAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjcsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvTLEjVAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAZqBJREFUeJzt3XtcVHX+P/DXmYEZLjqABgwk3tJE846G2NVkxaQ2iy5uZOqipoGluHn5ZV66mZdNy0t2VWp1Letba2oY4q1WVhQlxRRrtUBx0BZhFAWGOZ/fHzhHhpvgzMBBX899fB4653zOZ97n5Mrbz+1IQggBIiIiIrpumqYOgIiIiKi5Y0JFRERE5CAmVEREREQOYkJFRERE5CAmVEREREQOYkJFRERE5CAmVEREREQOYkJFRERE5CAmVEREREQOYkJFRC7Vvn17SJIESZKQkJDQJDEsXbpUiUGSJPzxxx9NEgcR3biYUBHdJD7++GN07doVHh4e6Ny5M5YtW1bva0tLSzF9+nQEBwfD09MT4eHhSElJqff199xzDz777DOMGjXqekJ32NChQ/HZZ5/h0UcfbZLvJ6IbHxMqopvA+++/j7Fjx+KOO+7AsmXLEBERgRdeeAELFiyo1/WjR4/G22+/jdjYWLzzzjvQarUYNmwYfvzxx3pd37FjRzzzzDPo37+/I7dx3UJDQ/HMM8+gZ8+eTfL9RHTjc2vqAIjItS5fvoyXX34Z0dHR+PLLLwEA48aNgyzLeO211zB+/Hj4+fnVen16ejrWr1+PRYsW4W9/+xsA4Nlnn0X37t0xbdo07Nmzp1Hug4hIzdhDReQCly9fRmhoKEJDQ3H58mXleEFBAYKCgjBw4EBYrdZGiWXHjh343//+h+eff97ueHx8PIqLi7F58+Y6r//yyy+h1Woxfvx45ZiHhwfi4uKQlpaG3Nzc64przZo1kCQJv/32m93xnTt3QpIk7Ny5Uzl2//33o3v37jh06BDuu+8+eHl5oVOnTkqCuGvXLoSHh8PT0xNdunTBtm3brismIqLrxYSKyAU8PT2RlJSEX3/9FS+//LJyPD4+HkVFRVizZg20Wm2t18uyjD/++KNexWKx1BnLwYMHAQD9+vWzOx4WFgaNRqOcr+v622+/HQaDwe74nXfeCQDIzMys83pnOX/+PB566CGEh4dj4cKF0Ov1GDFiBD7//HOMGDECw4YNw1tvvYXi4mI8/vjjuHDhQqPERUQEcMiPyGXCw8Mxbdo0LFiwAI8++ijy8/Oxfv16LF26FLfffnud1+bk5KBDhw71+p4dO3bg/vvvr/X8mTNnoNVqERAQYHdcp9OhdevWyMvLq7P9M2fOICgoqNpx27FrXe8seXl5WLduHf7yl78AAP70pz8hNDQUTz/9NPbs2YPw8HAAQNeuXREVFYWvvvoKo0ePbpTYiIiYUBG50Ny5c7Fp0yaMGjUKFy9exH333YcXXnjhmtcZjcZ6r6Lr1atXnecvX74MnU5X4zkPDw+7Icnartfr9TVeazvfGFq0aIERI0Yon7t06QJfX1/ceuutSjIFQPn9iRMnGiUuIiKACRWRS+l0OnzyySfo378/PDw8sHr1akiSdM3rPDw8EBkZ6ZQYPD09UVZWVuO5kpISeHp6XvP60tLSGq+1nW8Mbdq0qfbsfHx8EBISUu0YUDFESETUWJhQEbnY1q1bAVQkIL/88ku9hvKsVivOnTtXr/ZbtWpVaw8UUDE0Z7VacfbsWbthv7KyMvzvf/9DcHBwne0HBQXh9OnT1Y6fOXMGAK55fW1qSyxrm6xf25yz2o4LIa4rLiKi68FJ6UQudOjQIbz66qsYM2YM+vTpg7Fjx6KoqOia1+Xm5iIoKKhe5VrbFvTu3RsAsH//frvj+/fvhyzLyvm6rj9+/DjMZrPd8b1799q131C2rRoKCwvtjv/+++/X1R4RUVNiDxWRi1gsFowePRrBwcF45513cPLkSfTv3x9TpkzBJ598Uue1zpxD9cADD6BVq1Z47733MGzYMOX4e++9By8vL0RHRyvHbCsH27ZtCy8vLwDA448/jsWLF+ODDz5Q9qEqLS3F6tWrER4eXm3Irb5uu+02AMDu3buVpMxqteKDDz64rvaIiJoSEyoiF3n99deRmZmJ1NRUtGzZEj179sTs2bMxa9YsPP7443bJTVXOnkP12muvIT4+Hk888QSioqLwww8/4B//+AfeeOMNtGrVSqm7fPlyzJs3z27lYHh4OJ544gnMnDkTZ8+eRadOnZCUlITffvsNH3/88XXHdccdd2DAgAGYOXMmCgoK0KpVK6xfvx7l5eWO3jIRUaNjQkXkAgcOHMCbb76JhIQEDBo0SDk+Y8YM/Otf/8K4ceNw5MgR+Pr6Nko8zz//PNzd3fH3v/8dGzduREhICJYsWYIXX3yxXtd/+umneOWVV/DZZ5/h/Pnz6NmzJzZt2oR7773XobjWrl2L5557Dm+99RZ8fX0RFxeHQYMG4U9/+pND7RIRNTZJcOYmEblQ+/btERERgWXLlsHT0xPe3t6NHkNJSQkuXryIhQsXYtGiRTh37hxuueWWRo+DiG5cnJRORC63fv16+Pv7Y/r06U3y/atWrYK/vz8WLVrUJN9PRDc+DvkRkUutXbtW2fzzeiewOyomJgbdu3dXPtv2qiIichYO+RERERE5iEN+REREVKMVK1agffv28PDwQHh4ONLT0+usv2HDBoSGhsLDwwM9evTAli1b7M4LITB79mwEBQXB09MTkZGR+OWXX+zqFBQUIDY2FgaDQVmscvHiRbs6hw4dwj333AMPDw+EhIRg4cKFDY7F2ZhQERERUTWff/45EhMTMWfOHBw4cAC9evVCVFQUzp49W2P9PXv24C9/+Qvi4uJw8OBBDB8+HMOHD0dWVpZSZ+HChXj33XexatUq7N27F97e3oiKilJeZQUAsbGxOHLkCFJSUrBp0ybs3r0b48ePV86bzWYMGTIE7dq1Q0ZGBhYtWoS5c+fa7WFXn1icThARERFVceedd4r4+Hjls9VqFcHBwWL+/Pk11n/yySdFdHS03bHw8HDx3HPPCSGEkGVZGI1GsWjRIuV8YWGh0Ov14p///KcQQoiff/5ZABD79u1T6nz33XdCkiRx+vRpIYQQK1euFH5+fqK0tFSpM336dNGlS5d6x+IKnJRehSzLyMvLQ8uWLev1ElsiIro5CSFw4cIFBAcHQ6Nx3YBPSUlJrS84byghRLWfbXq9Hnq93u5YWVkZMjIyMHPmTOWYRqNBZGQk0tLSamw7LS0NiYmJdseioqLwzTffAABOnjwJk8lkt2mxj48PwsPDkZaWhhEjRiAtLQ2+vr7o16+fUicyMhIajQZ79+7Fo48+irS0NNx777127zCNiorCggULcP78efj5+V0zFldgQlVFXl5ek61EIiKi5ic3Nxdt2rRxSdslJSXo0K4FTGdrfml4Q7Vo0aLafKQ5c+Zg7ty5dsf++OMPWK1WBAYG2h0PDAzEsWPHamzbZDLVWN9kMinnbcfqqlP5Je4A4ObmhlatWtnVqfqSeVubJpMJfn5+14zFFZhQVdGyZUsAwO8H2sPQglPMiIioZuaLMtr1/U35ueEKZWVlMJ214veM9jC0dOxnkvmCjHZhvyE3NxcGg0E5XrV3iq4PE6oqbF2hhhYaGFpqmzgaIiJSu8aYHtKipYQWLR37HhlXfr4ZDHYJVU1uueUWaLVa5Ofn2x3Pz8+H0Wis8Rqj0Vhnfduv+fn5CAoKsqtje0G60WisNum9vLwcBQUFdu3U9D2Vv+NasbgCu2CIiIhUzipkp5T60ul0CAsLQ2pqqnJMlmWkpqYiIiKixmsiIiLs6gNASkqKUr9Dhw4wGo12dcxmM/bu3avUiYiIQGFhITIyMpQ627dvhyzLCA8PV+rs3r0bFovF7nu6dOkCPz+/esXiCkyoiIiIVE6GcEppiMTERHz44YdISkrC0aNHMXHiRBQXF2PMmDEAgGeffdZu0vqLL76I5ORk/P3vf8exY8cwd+5c7N+/HwkJCQAqevImT56M119/HRs3bsThw4fx7LPPIjg4GMOHDwcAdO3aFUOHDsW4ceOQnp6Of//730hISMCIESMQHBwMAHj66aeh0+kQFxeHI0eO4PPPP8c777xjNwn9WrG4Aof8iIiIqJqnnnoK586dw+zZs2EymdC7d28kJycrk71zcnLsVjcOHDgQ69atw6xZs/D//t//Q+fOnfHNN9/YvfZp2rRpKC4uxvjx41FYWIi7774bycnJ8PDwUOqsXbsWCQkJGDx4MDQaDWJiYvDuu+8q5318fPD9998jPj4eYWFhuOWWWzB79my7varqE4uz8dUzVZjNZvj4+OD88Y6cQ0VERLUyX7DC7/YTKCoquuacpOv+jis/k/Ky2zhlUnpwl1Mujfdmxh4qIiIilbMKAauD/R+OXk914xwqIiIiIgexh4qIiEjlrmdSeU1tkOswoSIiIlI5GQJWJlSqxiE/IiIiIgexh4qIiEjlOOSnfkyoiIiIVI6r/NSPQ35EREREDmIPFRERkcrJV4qjbZDrMKEiIiJSOasTVvk5ej3VjQkVERGRyllFRXG0DXIdzqEiIiIichB7qIiIiFSOc6jUjwkVERGRysmQYIXkcBvkOhzyIyIiInIQe6iIiIhUThYVxdE2yHWYUBEREamc1QlDfo5eT3XjkB8RERGRg9hDRUREpHLsoVI/JlREREQqJwsJsnBwlZ+D11PdOORHRERE5CD2UBEREakch/zUjwkVERGRylmhgdXBQSWrk2KhmjGhIiIiUjnhhDlUgnOoXIpzqIiIiIgc1GwSKqvVildeeQUdOnSAp6cnbrvtNrz22msQ4urWr0IIzJ49G0FBQfD09ERkZCR++eWXJoyaiIjIcbY5VI4Wcp1mk1AtWLAA7733HpYvX46jR49iwYIFWLhwIZYtW6bUWbhwId59912sWrUKe/fuhbe3N6KiolBSUtKEkRMRETnGKjROKeQ6zWYO1Z49e/DII48gOjoaANC+fXv885//RHp6OoCK3qmlS5di1qxZeOSRRwAAn376KQIDA/HNN99gxIgRTRY7ERER3diaTbo6cOBApKam4vjx4wCAn376CT/++CMefPBBAMDJkydhMpkQGRmpXOPj44Pw8HCkpaXV2m5paSnMZrNdISIiUhMZEmRoHCwc8nOlZtNDNWPGDJjNZoSGhkKr1cJqteKNN95AbGwsAMBkMgEAAgMD7a4LDAxUztVk/vz5mDdvnusCJyIichD3oVK/ZtND9cUXX2Dt2rVYt24dDhw4gKSkJCxevBhJSUkOtTtz5kwUFRUpJTc310kRExER0c2i2fRQvfTSS5gxY4YyF6pHjx74/fffMX/+fIwaNQpGoxEAkJ+fj6CgIOW6/Px89O7du9Z29Xo99Hq9S2MnIiJyhDMmlVsrrYon52s2PVSXLl2CRmMfrlarhSzLAIAOHTrAaDQiNTVVOW82m7F3715EREQ0aqxERETOVDGHyvFCrtNseqgefvhhvPHGG2jbti3uuOMOHDx4EG+//Tb++te/AgAkScLkyZPx+uuvo3PnzujQoQNeeeUVBAcHY/jw4U0bPBEREd3Qmk1CtWzZMrzyyit4/vnncfbsWQQHB+O5557D7NmzlTrTpk1DcXExxo8fj8LCQtx9991ITk6Gh4dHE0ZORETkGNkJ7/KTwSE/V5KE4KBqZWazGT4+Pjh/vCMMLbVNHQ4REamU+YIVfrefQFFREQwGg2u+48rPpPWZ3eDl4M+kSxesGNH7Z5fGezNrNj1URERENyvbXlKOtcH+E1dqNpPSiYiIiNSKPVREREQqZxUSrMLBjT0dvJ7qxoSKiIhI5axOmJRu5ZCfS3HIj4iIiMhB7KEiIiJSOVloIDu4U7rMRf0uxYSKiIhI5Tjkp34c8iMiIiJyEHuoiIiIVE6G46v0ZOeEQrVgQkVERKRyztnYk4NSrsSnS0REROQg9lARERGpnFVoYHVwlZ+j11PdmFARERGpnAwJMhydQ8Wd0l2JCRUREZHKsYdK/fh0iYiIiBzEHioiIiKVc87GnuxDcSUmVERERConCwmyo/tQOXg91Y3pKhEREZGD2ENFRESkcrIThvy4sadrMaEiIiJSOVloIDu4Ss/R66lufLpEREREDmJCRUREpHJWSE4prlJQUIDY2FgYDAb4+voiLi4OFy9erPOakpISxMfHo3Xr1mjRogViYmKQn59vVycnJwfR0dHw8vJCQEAAXnrpJZSXl9vV2blzJ/r27Qu9Xo9OnTphzZo11b5rxYoVaN++PTw8PBAeHo709HS72CdNmoQuXbrA09MTbdu2xQsvvICioqIGPQMmVERERCpnG/JztLhKbGwsjhw5gpSUFGzatAm7d+/G+PHj67xmypQp+Pbbb7Fhwwbs2rULeXl5eOyxx5TzVqsV0dHRKCsrw549e5CUlIQ1a9Zg9uzZSp2TJ08iOjoagwYNQmZmJiZPnoyxY8di69atSp3PP/8ciYmJmDNnDg4cOIBevXohKioKZ8+eBQDk5eUhLy8PixcvRlZWFtasWYPk5GTExcU16BlIQgjRoCtucGazGT4+Pjh/vCMMLbVNHQ4REamU+YIVfrefQFFREQwGg2u+48rPpHl7I+HRwrFpzyUXyzEnfJvT4z169Ci6deuGffv2oV+/fgCA5ORkDBs2DKdOnUJwcHC1a4qKiuDv749169bh8ccfBwAcO3YMXbt2RVpaGgYMGIDvvvsODz30EPLy8hAYGAgAWLVqFaZPn45z585Bp9Nh+vTp2Lx5M7KyspS2R4wYgcLCQiQnJwMAwsPD0b9/fyxfvhwAIMsyQkJCMGnSJMyYMaPGe9qwYQOeeeYZFBcXw82tfs+dPVREREQqZ4Uzhv0qmM1mu1JaWupQbGlpafD19VWSKQCIjIyERqPB3r17a7wmIyMDFosFkZGRyrHQ0FC0bdsWaWlpSrs9evRQkikAiIqKgtlsxpEjR5Q6lduw1bG1UVZWhoyMDLs6Go0GkZGRSp2a2JLO+iZTABMqIiIi1XPmkF9ISAh8fHyUMn/+fIdiM5lMCAgIsDvm5uaGVq1awWQy1XqNTqeDr6+v3fHAwEDlGpPJZJdM2c7bztVVx2w24/Lly/jjjz9gtVprrFNbbH/88Qdee+21aw5ZVsVtE4iIiFTOmS9Hzs3NtRvy0+v1NdafMWMGFixYUGebR48edSgmtTGbzYiOjka3bt0wd+7cBl3LhIqIiOgmYjAY6jWHaurUqRg9enSddTp27Aij0ahM8LYpLy9HQUEBjEZjjdcZjUaUlZWhsLDQrpcqPz9fucZoNNqtxrOdt52z/Vp1ZWB+fj4MBgM8PT2h1Wqh1WprrFM1tgsXLmDo0KFo2bIlvv76a7i7u9d571VxyI+IiEjlBCTIDhbRwG0T/P39ERoaWmfR6XSIiIhAYWEhMjIylGu3b98OWZYRHh5eY9thYWFwd3dHamqqciw7Oxs5OTmIiIgAAERERODw4cN2yVpKSgoMBgO6deum1Knchq2OrQ2dToewsDC7OrIsIzU1VakDVPRMDRkyBDqdDhs3boSHh0eDnhXAhIqIiEj1bEN+jhZX6Nq1K4YOHYpx48YhPT0d//73v5GQkIARI0YoK/xOnz6N0NBQpcfJx8cHcXFxSExMxI4dO5CRkYExY8YgIiICAwYMAAAMGTIE3bp1w8iRI/HTTz9h69atmDVrFuLj45VhygkTJuDEiROYNm0ajh07hpUrV+KLL77AlClTlPgSExPx4YcfIikpCUePHsXEiRNRXFyMMWPGALiaTBUXF+Pjjz+G2WyGyWSCyWSC1WpFfTWrhOr06dN45pln0Lp1a3h6eqJHjx7Yv3+/cl4IgdmzZyMoKAienp6IjIzEL7/80oQRExER3fjWrl2L0NBQDB48GMOGDcPdd9+NDz74QDlvsViQnZ2NS5cuKceWLFmChx56CDExMbj33nthNBrxf//3f8p5rVaLTZs2QavVIiIiAs888wyeffZZvPrqq0qdDh06YPPmzUhJSUGvXr3w97//HR999BGioqKUOk899RQWL16M2bNno3fv3sjMzERycrIyUf3AgQPYu3cvDh8+jE6dOiEoKEgpubm59X4GzWYfqvPnz6NPnz4YNGgQJk6cCH9/f/zyyy+47bbbcNtttwEAFixYgPnz5yMpKQkdOnTAK6+8gsOHD+Pnn3+ud/cd96EiIqL6aMx9qKb++yHoWzRsTk9VpRct+Ptdm1wa782s2UxKX7BgAUJCQrB69WrlWIcOHZTfCyGwdOlSzJo1C4888ggA4NNPP0VgYCC++eYbjBgxotFjJiIicgYrNLA6OKjk6PVUt2bzdDdu3Ih+/frhiSeeQEBAAPr06YMPP/xQOX/y5EmYTCa7zbt8fHwQHh5e5+ZdpaWl1TY5IyIiImqIZpNQnThxAu+99x46d+6MrVu3YuLEiXjhhReQlJQE4OomXw3ZvAsA5s+fb7fBWUhIiOtugoiI6DrIQnJKIddpNgmVLMvo27cv3nzzTfTp0wfjx4/HuHHjsGrVKofanTlzJoqKipTSkAloREREjUGGximFXKfZPN2goCBl3wmbrl27IicnB8DVTb7qs3lXZXq9XtnkrL6bnRERERFV1mwSqrvuugvZ2dl2x44fP4527doBqJigbjQa7TbvMpvN2Lt3r93mXURERM2NVUhOKeQ6zWaV35QpUzBw4EC8+eabePLJJ5Geno4PPvhA2edCkiRMnjwZr7/+Ojp37qxsmxAcHIzhw4c3bfBEREQOcMYcKM6hcq1mk1D1798fX3/9NWbOnIlXX30VHTp0wNKlSxEbG6vUmTZtGoqLizF+/HgUFhbi7rvvRnJy8nVtIU9ERKQWQmggO7jTuXDRTulUodls7NlYuLEnERHVR2Nu7Dl+1xPQObixZ9lFCz64bwM39nSRZtNDRUREdLOyQoK1gS83rqkNch0mVERERConC8fnQMkcj3IpDqgSEREROYg9VERERConO2FSuqPXU92YUBEREamcDAmyg3OgHL2e6sZ0lYiIiMhB7KEiIiJSOWfsdM6d0l2LCRUREZHKcQ6V+vHpEhERETmIPVREREQqJ8MJ7/LjpHSXYkJFRESkcsIJq/wEEyqXYkJFRESkcrJwQg8VJ6W7FOdQERERETmIPVREREQqx1V+6seEioiISOU45Kd+TFeJiIiIHMQeKiIiIpXju/zUjwkVERGRynHIT/045EdERETkIPZQERERqRx7qNSPCRUREZHKMaFSPw75ERERETmIPVREREQqxx4q9WNCRUREpHICjm97IJwTCtWCCRUREZHKsYdK/TiHioiIiMhB7KEiIiJSOfZQqR8TKiIiIpVjQqV+HPIjIiIichB7qIiIiFSOPVTq12x7qN566y1IkoTJkycrx0pKShAfH4/WrVujRYsWiImJQX5+ftMFSURE5ARCSE4p5DrNMqHat28f3n//ffTs2dPu+JQpU/Dtt99iw4YN2LVrF/Ly8vDYY481UZRERER0s2h2CdXFixcRGxuLDz/8EH5+fsrxoqIifPzxx3j77bfxwAMPICwsDKtXr8aePXvwn//8pwkjJiIicowMySmFXKfZJVTx8fGIjo5GZGSk3fGMjAxYLBa746GhoWjbti3S0tIaO0wiIiKnsc2hcrSQ6zSrSenr16/HgQMHsG/fvmrnTCYTdDodfH197Y4HBgbCZDLV2mZpaSlKS0uVz2az2WnxEhER0c2h2fRQ5ebm4sUXX8TatWvh4eHhtHbnz58PHx8fpYSEhDitbSIiImfgpHT1azYJVUZGBs6ePYu+ffvCzc0Nbm5u2LVrF9599124ubkhMDAQZWVlKCwstLsuPz8fRqOx1nZnzpyJoqIipeTm5rr4ToiIiBqGQ37q12yG/AYPHozDhw/bHRszZgxCQ0Mxffp0hISEwN3dHampqYiJiQEAZGdnIycnBxEREbW2q9frodfrXRo7ERGRI5zRw8QeKtdqNglVy5Yt0b17d7tj3t7eaN26tXI8Li4OiYmJaNWqFQwGAyZNmoSIiAgMGDCgKUImIiKim0SzSajqY8mSJdBoNIiJiUFpaSmioqKwcuXKpg6LiIjIIcIJQ3bsoXKtZp1Q7dy50+6zh4cHVqxYgRUrVjRNQERERC4gAAjheBvkOs1mUjoRERGRWjXrHioiIqKbgQwJkoM7nXOndNdiQkVERKRyXOWnfhzyIyIiInIQe6iIiIhUThYSJAd7mLixp2sxoSIiIlI5IZywyo/L/FyKQ35EREREDmIPFRERkcpxUrr6sYeKiIhI5WwJlaPFVQoKChAbGwuDwQBfX1/ExcXh4sWLdV5TUlKC+Ph4tG7dGi1atEBMTAzy8/Pt6uTk5CA6OhpeXl4ICAjASy+9hPLycrs6O3fuRN++faHX69GpUyesWbOm2netWLEC7du3h4eHB8LDw5Genl5jTEIIPPjgg5AkCd98802DnkG9eqgOHTrUoEYBoFu3bnBzYwcYERGRo9Q+KT02NhZnzpxBSkoKLBYLxowZg/Hjx2PdunW1XjNlyhRs3rwZGzZsgI+PDxISEvDYY4/h3//+NwDAarUiOjoaRqMRe/bswZkzZ/Dss8/C3d0db775JgDg5MmTiI6OxoQJE7B27VqkpqZi7NixCAoKQlRUFADg888/R2JiIlatWoXw8HAsXboUUVFRyM7ORkBAgF1MS5cuhSRd33OShLj2NDWNRgNJklCPqkr948ePo2PHjtcVVFMym83w8fHB+eMdYWipbepwyMlkyE0dQpPRNGGHNJ873YjMF6zwu/0EioqKYDAYXPMdV34mdVk3A1ovvUNtWS+VIvvpt5we79GjR9GtWzfs27cP/fr1AwAkJydj2LBhOHXqFIKDg6tdU1RUBH9/f6xbtw6PP/44AODYsWPo2rUr0tLSMGDAAHz33Xd46KGHkJeXh8DAQADAqlWrMH36dJw7dw46nQ7Tp0/H5s2bkZWVpbQ9YsQIFBYWIjk5GQAQHh6O/v37Y/ny5QAAWZYREhKCSZMmYcaMGcp1mZmZeOihh7B//34EBQXh66+/xvDhw+v9HOr9//S9e/fi5MmT1ywnTpyAh4dHvQMgIiKiutlW+TlagIokrXIpLS11KLa0tDT4+voqyRQAREZGQqPRYO/evTVek5GRAYvFgsjISOVYaGgo2rZti7S0NKXdHj16KMkUAERFRcFsNuPIkSNKncpt2OrY2igrK0NGRoZdHY1Gg8jISKUOAFy6dAlPP/00VqxYAaPReF3PoV5jcvfddx86deoEX1/fejV67733wtPT87oCIiIiInsVCZGjk9Irfg0JCbE7PmfOHMydO/e62zWZTNWGztzc3NCqVSuYTKZar9HpdNXyisDAQOUak8lkl0zZztvO1VXHbDbj8uXLOH/+PKxWa411jh07pnyeMmUKBg4ciEceeaSed11dvRKqHTt2NKjRLVu2XFcwRERE5Fq5ubl2Q356fc1DiTNmzMCCBQvqbOvo0aNOja0pbNy4Edu3b8fBgwcdaoezxomIiFTOmdsmGAyGes2hmjp1KkaPHl1nnY4dO8JoNOLs2bN2x8vLy1FQUFDr8JnRaERZWRkKCwvteqny8/OVa4xGY7XVeLZVgJXrVF0ZmJ+fD4PBAE9PT2i1Wmi12hrr2NrYvn07/vvf/1brLYuJicE999yDnTt31vkMbBqcUAkh8OWXX2LHjh04e/YsZNl+sun//d//NbRJIiIiqoO4UhxtoyH8/f3h7+9/zXoREREoLCxERkYGwsLCAFQkKbIsIzw8vMZrwsLC4O7ujtTUVMTExAAAsrOzkZOTg4iICKXdN954A2fPnlWGFFNSUmAwGNCtWzelTtVRsZSUFKUNnU6HsLAwpKamKhPMZVlGamoqEhISAFT0xI0dO9aujR49emDJkiV4+OGHr3n/Ng1OqCZPnoz3338fgwYNQmBg4HUvLyQiIqLmr2vXrhg6dCjGjRuHVatWwWKxICEhASNGjFBW+J0+fRqDBw/Gp59+ijvvvBM+Pj6Ii4tDYmIiWrVqBYPBgEmTJiEiIgIDBgwAAAwZMgTdunXDyJEjsXDhQphMJsyaNQvx8fHKMOWECROwfPlyTJs2DX/961+xfft2fPHFF9i8ebMSX2JiIkaNGoV+/frhzjvvxNKlS1FcXIwxY8YAqOjlqqknrW3btujQoUO9n0ODE6rPPvsM//d//4dhw4Y19FIiIiK6DmrfKX3t2rVISEjA4MGDodFoEBMTg3fffVc5b7FYkJ2djUuXLinHlixZotQtLS1FVFQUVq5cqZzXarXYtGkTJk6ciIiICHh7e2PUqFF49dVXlTodOnTA5s2bMWXKFLzzzjto06YNPvroI2UPKgB46qmncO7cOcyePRsmkwm9e/dGcnJytYnqjqrXPlSVdejQAd999x1CQ0OdGohacB+qGxv3Q2oafO50I2rMfag6Jv0/aL0c25LIeqkEJ0a96dJ4b2YN/n/63LlzMW/ePFy+fNkV8RAREVFVznjtDN/l51INHvJ78skn8c9//hMBAQFo37493N3d7c4fOHDAacERERERNQcNTqhGjRqFjIwMPPPMM5yUTkRE1Agq73TuSBvkOg1OqDZv3oytW7fi7rvvdkU8REREVIXaJ6XTdcyhCgkJ4WQ2IiIiokoanFD9/e9/x7Rp0/Dbb7+5IBwiIiKqxjap3NFCLtPgIb9nnnkGly5dwm233QYvL69qk9ILCgqcFhxRc2UV6tsmwHpl6wKtVPe/o65nmX9d2yKo8VnYXOtZEKkF51CpX4MTqqVLl7ogDCIiIqLm67pW+REREVEjaoqX+VGDNDihysnJqfN827ZtrzsYIiIiqo6r/NSvwQlV+/bt69x7ymq1OhQQERERUXPT4ITq4MGDdp8tFgsOHjyIt99+G2+88YbTAiMiIqJKOGSnag1e4tKrVy+70q9fP4wbNw6LFy+2e7O0s82fPx/9+/dHy5YtERAQgOHDhyM7O9uuTklJCeLj49G6dWu0aNECMTExyM/Pd1lMREREjcHR9/g5Y8iQ6ua0NcNdunTBvn37nNVcNbt27UJ8fDz+85//ICUlBRaLBUOGDEFxcbFSZ8qUKfj222+xYcMG7Nq1C3l5eXjsscdcFhMREVGjEE4q5DINHvIzm812n4UQOHPmDObOnYvOnTs7LbCqkpOT7T6vWbMGAQEByMjIwL333ouioiJ8/PHHWLduHR544AEAwOrVq9G1a1f85z//wYABA1wWGxEREd3cGpxQ+fr6VpuULoRASEgI1q9f77TArqWoqAgA0KpVKwBARkYGLBYLIiMjlTqhoaFo27Yt0tLSak2oSktLUVpaqnyumjASERE1PelKcbQNcpUGJ1Q7duyw+6zRaODv749OnTrBza3BzV0XWZYxefJk3HXXXejevTsAwGQyQafTwdfX165uYGAgTCZTrW3Nnz8f8+bNc2W4REREjuE+VKrX4Azovvvuc0UcDRIfH4+srCz8+OOPDrc1c+ZMJCYmKp/NZjNCQkIcbpeIiIhuHvWalL5x40ZYLJZ6N7plyxZcvnz5uoOqS0JCAjZt2oQdO3agTZs2ynGj0YiysjIUFhba1c/Pz4fRaKy1Pb1eD4PBYFeIiIhUhZPSVa9ePVSPPvooTCYT/P3969XoiBEjkJmZiY4dOzoUXGVCCEyaNAlff/01du7ciQ4dOtidDwsLg7u7O1JTUxETEwMAyM7ORk5ODiIiIpwWB92cXPGCX7mWv93qetFwZdZrvOlUW8sGvOXCavcCZE3VeRWVPtb0omRbfDU9k6r3VPdLk68v/qpqe5lztfuqMYaG/Xfly5SpyQipojjaBrlMvRIqIQRGjx4NvV5fr0ZLSkocCqom8fHxWLduHf71r3+hZcuWyrwoHx8feHp6wsfHB3FxcUhMTESrVq1gMBgwadIkREREcIUfERERuVS9EqqGvhA5NjbW6UNn7733HgDg/vvvtzu+evVqjB49GgCwZMkSaDQaxMTEoLS0FFFRUVi5cqVT4yAiImpsQlQUR9sg16lXQrV69WpXx3FNoh5/Ejw8PLBixQqsWLGiESIiIiJqJFzlp3qcEEBERETkoMbZOIqIiIiuHyelqx4TKiIiIpWTREVxtA1yHSZUREREasc5VKrHOVREREREDrquHqrU1FSkpqbi7NmzkGX7jfE++eQTpwRG1JzVtmmnfZ2aN5WsuuFl5bas1TbOrON7ajlVseGlFdorG19W3gBTK0mQK32/u2S75uq/vWybYVb+bhkyrELUGGt9nkVNMVquXKatskFn9Y1Ia9uc89r/XqzP5p9EqsA5VKrX4IRq3rx5ePXVV9GvXz8EBQVBquduxkRERHSdOOSneg1OqFatWoU1a9Zg5MiRroiHiIiIqNlpcEJVVlaGgQMHuiIWIiIiqgl7qFSvwZPSx44di3Xr1rkiFiIiIqqJcFIhl2lwD1VJSQk++OADbNu2DT179oS7u7vd+bfffttpwRERERE1Bw1OqA4dOoTevXsDALKysuzOcYI6qZ3mencKaegfbVHbyrOraqtRdVWcpVLNyisAZVSspLOK6u1ZawhYe6Vd2xPQShUr6DSoWN0HAO5Co6zsq/i+KysBpavPzRZfqSiv9H0CFnF13WJNcdUVky0urWQ7LilxylX+XnGv8t+w6irAq+1d+z+aVmrYn4fr/vND5Ciu8lO9BidUO3bscEUcREREVAvulK5+Dv1z69SpUzh16pSzYiEiIiJqlhqcUMmyjFdffRU+Pj5o164d2rVrB19fX7z22mvVNvkkIiIiJ+CkdNVr8JDfyy+/jI8//hhvvfUW7rrrLgDAjz/+iLlz56KkpARvvPGG04MkIiIiUrMGJ1RJSUn46KOP8Oc//1k51rNnT9x66614/vnnmVARuZCl0j8xLaJiord85VcrJFiEBtYrHc9yDRNQNZKAFjK0EHCXbL8KuF9pt+qrbdwkbbU2bFPPK0+WtwiBEiEqxaO5EosEKzTXjKXi91fjqIgLV37PibREEpwwh8opkVBtGjzkV1BQgNDQ0GrHQ0NDUVBQ4JSgiIiIiJqTBidUvXr1wvLly6sdX758OXr16uWUoIiIiKgS27YJjhZymQYP+S1cuBDR0dHYtm0bIiIiAABpaWnIzc3Fli1bnB4gkRo0eP+hevy9JYua++81VYbdKu+nVHn4ywIBi6gY5iuDFhahgUW4oUxoYYEWFlHxf2/bXlJaSUADGTqpHB5SOdylcrhLMgwog222qvY6/74tExWxlAitEkuJcIdFaFEm3CBDUy0OrSTDHVboJKsSizcsSh3bvVbdT6r655r/29RnjynuK0XNBl89o3oN/tvkvvvuw/Hjx/Hoo4+isLAQhYWFeOyxx5CdnY177rnHFTESERERqVqDe6gAIDg4mJPPiYiIGgt7qFSvXgnVoUOH0L17d2g0Ghw6dKjOuj179nRKYEQ3utpejeJeZWVd5aHByl3Ktt/bVveVCHcUy3pckvUolvWwCC0s4mpbGklAJ5VDL1ngrSmFt6YUXlIZvLUWZXVdfbqsaxsms0JCGbQokd1wSehglj1xSdajRK4Y+rNCA+2VlYHukhUeGgs8JAu8rsQCWJShUk2lWKqu8qv6fOrzihmi5o47patfvRKq3r17w2QyISAgAL1794YkSRA1zP+QJAlWq9XpQRIRERGpWb0SqpMnT8Lf31/5PRHVrV6TnWvrWKnyYmX3SpOrK+8TJUO+MjG9Yg8ni9DiguyJgnJvXJA9UCq7wyJrlX2pKtqyoqW2BK3cLkIrCXhJZRX7UElXv6vy99U0sdvWI1T5JcU6SaBUVOwrJUODEqFDQXkLFFi9ccmqt+sp00KGu8YKL00ZWmhLrlxfDu8rsVR8lpQ43KvEULVHqrbJ55xwTjcUDvmpXr0Sqnbt2im///333zFw4EC4udlfWl5ejj179tjVJaLa1foDv2qiVekvQY9qSZgMaKwVv0DggtUD+RYfmMs9YBFayEJCudDCKiTIouL7DG4l0HjK8He7AJ1khYck4GFLXqC5ZiKirVTXRg8Bq8YKq2yFRapYqVdg9UZuSSsUl+sr7leS4S7J0EgyNJKAXlMOHzcdPCQLWmkvwkMqh/eV+9NLGnhcGdpzg/0QX9UEiokT3RSYUKlegyelDxo0CGfOnEFAQIDd8aKiIgwaNIhDfkQOqpogaCr3GFVOYiR3WIUMH1hh0cjw0RRiq7knDhbcCp3WCp3GCjeNDFlIKLG6odiiw8VSPUrK3DC4LfBIy8NopdHAS/JQen200rUTKtt5veRuF4uXsKKVRkaJsKCV9izWnLkL2ef84am3oKWuFN7uZdBprdBIAuWyBiVWN5TLGjxkvIwHvP4LX40bPCUPJY7angcRkRo1OKESQkCSqo9V/O9//4O3t7dTgiKimtWUbLnDDZ4SYNAAXx3uDa+WpfDzvoSWulIAFa+gKbNqUWJxx8VLepQVeOCdAfsAtHBqLPorSZCnBPhpgMM/doLlFgusfiVw18hwv5JMaSSBEqsbLpbpUXDRCy92/Q1AS4diIbrRcVK6+tU7oXrssccAVEw8Hz16NPR6vXLOarXi0KFDGDhwoPMjJKL6O6+D7F0Gd40VHtpy6DRW5T16pVY3aDQCUlnj9Ph4nwaKfDVw08rwcLPAy80CD225cr5U4warzN4nonpxxk7n3CndpeqdUPn4+ACo6KFq2bIlPD09lXM6nQ4DBgzAuHHjnB8h0U1GhlzrOYuw2tUrEVaUChklQuB0uTeeui8Nv19qBW+3MnhqLHC7klCVym4w6ErQUlcKc8tixOXehSdu2Yf2bucRqJWU+VDuktZu0re7VP2vCOXlyJVisQgrLJBxSVhxQdbgt3I/hP4lG6cu+qCVxyW00l+Ct1sp3CXbkJ8WF/U6BHmbMf9/t+Ne72O41a0YPpqK+VIeklbpAau6TUJVHBKkmwLnUKlevROq1atXAwDat2+Pv/3tb6oe3luxYgUWLVoEk8mEXr16YdmyZbjzzjubOiwiO7UlTtYqq/zKUTlxuXquRFhxSQgUCy0uyDoUyC0Q6G5GuacWIfr/VXyH0MAKSfnV4u2GoxeNaONRiEKrN0ySBe7SBXhIFd/hBVmZDA5cnbNVOWmxxVcqrvY2XRJWFAvgguyOQtkThVZvdPD+AxpJRtcWJrhryqGFgEaSlV8BILe0NVpoS1Agt4DWKgO4XHGf0tU4qj6nqpPUa1styUSLiBpTg+dQzZkzxxVxOM3nn3+OxMRErFq1CuHh4Vi6dCmioqKQnZ1dbSI9kRrJVf4Zaa2051tJpV4hWzJ1SXZHiaiYIO6jvQR3fTn83S4o79KzXlndp5Vk6CULvLSl8NKUQQsZFqHFJVlbsVIQFVsaVN5I0+1KMlN5YrwtPgsqJ3cCl2Q3FMs6WIQWWshoq/8f2ugK4KO9hFLhbheHu2SFx5XVgL7aS1facEexKLPd9ZVSw7v7qkwEqbv/iujGwDlU6levhKpv375ITU2Fn58f+vTpU+OkdJsDBw44Lbjr8fbbb2PcuHEYM2YMAGDVqlXYvHkzPvnkE8yYMaNJYyO6HlUTrJpoIeAhlcFXWwxvTSk0kgwPWOAuWe1eSgwAwe6F0EKGl6ZiCK7h8VQkUtYaNve1vfDYS1MxId62B5a+0i7oFS8+rtg+wehWBHepHB5SGbS13Gd97p/ohschP9WrV0L1yCOPKJPQhw8f7sp4HFJWVoaMjAzMnDlTOabRaBAZGYm0tLQaryktLUVpaany2Ww2uzxOuvHVNQ/KpurQXm3X2m/maU8LoSRFGlSspLMKDWRIsEKj9Aop9SW5IpmBuLIHlQXuUu3f1xDukgwPVAztaTUCHpKlXnHYkjCdZLVLqmxRVY2n2vOpbaJtPebfcliQiJylXn+bzJkzB15eXsrv6ypN6Y8//oDVakVgYKDd8cDAQJhMphqvmT9/Pnx8fJQSEhLSGKESOUVFQnVlCE1TDg/JcqVU/n1F8daUKudsv3e/ksTYSkWbklLq/G5JUoqmaixV4rj63ZaaY9SU28VCRFWIq8N+11tc+X+tgoICxMbGwmAwwNfXF3Fxcbh48WKd15SUlCA+Ph6tW7dGixYtEBMTg/z8fLs6OTk5iI6OhpeXFwICAvDSSy+hvLzcrs7OnTvRt29f6PV6dOrUCWvWrKn2XStWrED79u3h4eGB8PBwpKenV6uTlpaGBx54AN7e3jAYDLj33ntx+fLlej+DBv/zLDc3F6dOnVI+p6enY/Lkyfjggw8a2pQqzJw5E0VFRUrJzc1t6pCIaqWpWiRABxkekvVKglKuJFbeUpnyEmRvTWnFZ6kMXpoyeEjl8NJY4CFZlVfPuEvX8RfCFVoJcJeEEouXxgJvTcV32b63aiy2REqJW7JCI1XcU+V7JCJcHfJztLhIbGwsjhw5gpSUFGzatAm7d+/G+PHj67xmypQp+Pbbb7Fhwwbs2rULeXl5yhZNQMWWTNHR0SgrK8OePXuQlJSENWvWYPbs2UqdkydPIjo6GoMGDUJmZiYmT56MsWPHYuvWrUod29zqOXPm4MCBA+jVqxeioqJw9uxZpU5aWhqGDh2KIUOGID09Hfv27UNCQgI0mvr/LSSJmt5yXId77rkH48ePx8iRI2EymXD77beje/fu+OWXXzBp0iS7G21sZWVl8PLywpdffmk3NDlq1CgUFhbiX//61zXbMJvN8PHxwfnjHWFoyemudH0cGfKrvKoPsJ+Ibr/KT8ACCbIArJAqVvEJDazQKHtPWSv1Mtl6fjRX5jC5X1lx5yHJV9/lB8lulZ/nld3QK2+fcFlUDJFfqrTKr0TIsAjAIiSHYrG9y88dAh5X5mpWfZefR5VtFKqt+rN9Ry3v+KuMQ37kCPMFK/xuP4GioiIYDAbXfMeVn0kdZ70JrYeHQ21ZS0pw4vX/5/R4jx49im7dumHfvn3o168fACA5ORnDhg3DqVOnEBwcXO2aoqIi+Pv7Y926dXj88ccBAMeOHUPXrl2RlpaGAQMG4LvvvsNDDz2EvLw8ZeRp1apVmD59Os6dOwedTofp06dj8+bNyMrKUtoeMWIECgsLkZycDAAIDw9H//79sXz5cgCALMsICQnBpEmTlLnVAwYMwJ/+9Ce89tpr1/0cGvy3SVZWlrIFwRdffIEePXpgz549WLt2bY3dbI1Jp9MhLCwMqampyjFZlpGamoqIiIgmjIyaO7mB/6tfm6LGUlXlIbjKw2w6SYL7lSTEQ5LhIcnwlsrhLVnQUlNWazFIZWipKYe3ZIWXJMNDkuCOK0XSQANJKTXRXPmfu12R4CFJ0EsCXpIMb8mKlpryK99VdyzeUrkSvzsE3CGgq3SfdvdfQ0z1fY6N9d+VyCWc2ENlNpvtSuV5xNcjLS0Nvr6+SjIFAJGRkdBoNNi7d2+N12RkZMBisSAyMlI5FhoairZt2ypzntPS0tCjRw+7aTxRUVEwm804cuSIUqdyG7Y6tjZsc6sr16k6t/rs2bPYu3cvAgICMHDgQAQGBuK+++7Djz/+2KDn0OBtEywWizJBfdu2bfjzn/8MoOJBnDlzpqHNOV1iYiJGjRqFfv364c4778TSpUtRXFysrPojagy19T45yn7TzYp/EdlN3pZqXn1XmVbClcTkytwn6WryZEvartat/m8uW137WDSQIZR/ockNjMf23RrlWO0JXX3V579BfXqxiNTAmdsmVJ0rPGfOHMydO/e62zWZTNW2JXJzc0OrVq1qnb9sMpmg0+ng6+trd7zynGeTyVTjnGjbubrqmM1mXL58GefPn691bvWxY8cAACdOnAAAzJ07F4sXL0bv3r3x6aefYvDgwcjKykLnzp3r9RwanFDdcccdWLVqFaKjo5GSkqJ0j+Xl5aF169YNbc7pnnrqKZw7dw6zZ8+GyWRC7969kZycXO1hEhER3Yxyc3Pthvwqv0qushkzZmDBggV1tnX06FGnxtYUZLniH1/PPfec0vnSp08fpKam4pNPPsH8+fPr1U6DE6oFCxbg0UcfxaJFizBq1Cj06tULALBx40bV7EaekJCAhISEpg6DyCkq99RU/r0Mocx9stta4BodO9oa2rP1SlUM5l1rdd+VV8Kg8o7qUkVPlHQ1NhtrA/5ZXVNsRORcBoOhXnOopk6ditGjR9dZp2PHjjAajXYTvAGgvLwcBQUFMBqNNV5nNBpRVlaGwsJCu16q/Px85Rqj0VhtNZ5tFWDlOlVXBubn58NgMMDT0xNarRZarbbGOrY2goKCAADdunWzq9O1a1fk5OTUef+VNTihuv/++/HHH3/AbDbDz89POT5+/HhlawUiIiJyoibY2NPf3x/+/v7XrBcREYHCwkJkZGQgLCwMALB9+3bIsozw8PAarwkLC4O7uztSU1MRExMDAMjOzkZOTo4y5zkiIgJvvPEGzp49qwwppqSkwGAwKMlPREQEtmzZYtd2SkqK0kbludW2xWq2udW2jpf27dsjODgY2dnZdu0cP34cDz744DXv36bBCRUAaLValJeXKxO2unTpgvbt219PU0RERHQNan71TNeuXTF06FCMGzcOq1atgsViQUJCAkaMGKGs8Dt9+jQGDx6MTz/9FHfeeSd8fHwQFxeHxMREtGrVCgaDAZMmTUJERAQGDBgAABgyZAi6deuGkSNHYuHChTCZTJg1axbi4+OVYcoJEyZg+fLlmDZtGv76179i+/bt+OKLL7B582YlvmvNrZYkCS+99BLmzJmDXr16oXfv3khKSsKxY8fw5Zdf1vs5NDihKi4uxqRJk/Dpp58q445arRbPPvssli1bxl4qUrXmsFKr2lL+SjuZV57gXdNQYE2r22obOqs8zFdb3bq2FbCvq4FGuvp8lSHAGtpsSIyV46xPTK52PX9+uDUD3QzWrl2LhIQEDB48GBqNBjExMXj33XeV8xaLBdnZ2bh06ZJybMmSJUrd0tJSREVFYeXKlcp5rVaLTZs2YeLEiYiIiIC3tzdGjRqFV199VanToUMHbN68GVOmTME777yDNm3a4KOPPkJUVJRSpz5zqydPnoySkhJMmTIFBQUF6NWrF1JSUnDbbbfV+xk0eB+q5557Dtu2bcPy5ctx1113AQB+/PFHvPDCC/jTn/6E9957ryHNqQ73obqxNVZCVZ8VZg1Z2n+13bqvcXZCVXn/qarxVL5H2/fWJ9bGSqjqMwerMVb5MaG6cTXmPlSdZrwJrd7BfahKS/DrW87fh4oqNLiH6quvvsKXX36J+++/Xzk2bNgweHp64sknn2z2CRUREZHq8OXIqtfghOrSpUs1bkEQEBBg15VHRHWrrQelag+OXQ+HVHfP17Xev1dTb0nVOOrba2NXT+mtqtTbVanZyj1X14qxenx1x8PVgESkBg3ui46IiMCcOXNQUlKiHLt8+TLmzZvH3ciJiIhcwNEXIztjUjvVrcE9VO+88w6ioqLQpk0bZQ+qn376CR4eHnYvIyQiIiIn4ZCf6jU4obK9CHnt2rXKtu1/+ctfEBsbC09PT6cHSERERKR217UPlZeXF8aNG+fsWIiIiKgGat6HiipcV0KVnZ2NZcuWKe/w6dq1KxISEhAaGurU4IhuRnXt29TQJfjXs3XAtSeBa67EVWmi+ZU2tKh5ywgN7Lcgqe+WETV/Pyeh002IQ36q1+BJ6V999RW6d++OjIwM9OrVC7169cKBAwfQo0cPfPXVV66IkYiIiEjVGtxDNW3aNMycOdNup1IAmDNnDqZNm6a8k4eIiIichD1UqtfgHqozZ87g2WefrXb8mWeewZkzZ5wSFBEREV3FbRPUr8EJ1f33348ffvih2vEff/wR99xzj1OCIiIiokqEkwq5TIOH/P785z9j+vTpyMjIUN4I/Z///AcbNmzAvHnzsHHjRru6RERERDe6Br8cWaOpX6eWJEmwWq3XFVRT4suRb2yN9XJkR9Tnxcq1ud6X/TrjBb6OPNumuOfGwpcj37ga8+XIXV50zsuRs9/hy5FdpcE9VLKs/h9IRERENxLuQ6V+/KcTERERkYOua2NPIiIiakTcNkH1mFARERGpHIf81I9DfkREREQOYg8VERGR2nHIT/Ua3EP1wAMPYN68edWOnz9/Hg888IBTgiIiIqJKuLGn6jW4h2rnzp04fPgwDh48iLVr18Lb2xsAUFZWhl27djk9QCIiIiK1u645VNu2bYPJZMKAAQPw22+/OTkkIiIiqkxyUiHXua45VEFBQdi1axfGjBmD/v37Y8OGDejatauzYyNyuuvdtboxd1h35s7fjblLd32/q6Znqfbdzm246zk1Gc6hUr0G/+0gSRU5rl6vx7p16/Diiy9i6NChWLlypdODIyIioqvbJjhayHUa3ENV9dV/s2bNQteuXTFq1CinBUVERETUnDQ4oTp58iT8/f3tjsXExCA0NBT79+93WmBERER0BYf8VK/BQ37t2rVThv0qu+OOO1zWS/Xbb78hLi4OHTp0gKenJ2677TbMmTMHZWVldvUOHTqEe+65Bx4eHggJCcHChQtdEg8REVGj45YJqtYsNvY8duwYZFnG+++/j06dOiErKwvjxo1DcXExFi9eDAAwm80YMmQIIiMjsWrVKhw+fBh//etf4evri/HjxzfxHRAREdGNrFkkVEOHDsXQoUOVzx07dkR2djbee+89JaFau3YtysrK8Mknn0Cn0+GOO+5AZmYm3n77bSZURETUrPFdfurXbNcAFxUVoVWrVsrntLQ03HvvvdDpdMqxqKgoZGdn4/z587W2U1paCrPZbFeIiIhUhTulq16zTKh+/fVXLFu2DM8995xyzGQyITAw0K6e7bPJZKq1rfnz58PHx0cpISEhrgmaiIiIblhNmlDNmDEDkiTVWY4dO2Z3zenTpzF06FA88cQTGDdunMMxzJw5E0VFRUrJzc11uE0iIiJn4j5U6tekc6imTp2K0aNH11mnY8eOyu/z8vIwaNAgDBw4EB988IFdPaPRiPz8fLtjts9Go7HW9vV6PfR6fQMjJyIiakTcNkH1mjSh8vf3r7anVW1Onz6NQYMGISwsDKtXr4ZGY9+5FhERgZdffhkWiwXu7u4AgJSUFHTp0gV+fn5Oj52IiIjIplms8jt9+jTuv/9+tGvXDosXL8a5c+eUc7bep6effhrz5s1DXFwcpk+fjqysLLzzzjtYsmRJU4VNNxC+w815+CyJGo6r/NSvWSRUKSkp+PXXX/Hrr7+iTZs2dudsr8Lx8fHB999/j/j4eISFheGWW27B7NmzuWUCERE1fxzyU71mkVCNHj36mnOtAKBnz5744YcfXB8QERFRY2JCpXrseyciIiJyULPooSIiIrqZcQ6V+jGhIiIiUjsO+akeh/yIiIiIHMQeKiIiIpWThIAkHOticvR6qhsTKiIiIrXjkJ/qcciPiIiIyEHsoSIiIlI5rvJTPyZUREREaschP9XjkB8RERGRg9hDRUREpHIc8lM/JlRERERqxyE/1WNCRUREpHLsoVI/zqEiIiIichB7qIiIiNSOQ36qx4SKiIioGeCQnbpxyI+IiIjIQeyhIiIiUjshKoqjbZDLMKEiIiJSOa7yUz8O+RERERE5iAkVERGR2gknFRcpKChAbGwsDAYDfH19ERcXh4sXL9Z5TUlJCeLj49G6dWu0aNECMTExyM/Pt6uTk5OD6OhoeHl5ISAgAC+99BLKy8vt6uzcuRN9+/aFXq9Hp06dsGbNmmrftWLFCrRv3x4eHh4IDw9Henq63XmTyYSRI0fCaDTC29sbffv2xVdffdWgZ8CEioiISOUk2TnFVWJjY3HkyBGkpKRg06ZN2L17N8aPH1/nNVOmTMG3336LDRs2YNeuXcjLy8Njjz2mnLdarYiOjkZZWRn27NmDpKQkrFmzBrNnz1bqnDx5EtHR0Rg0aBAyMzMxefJkjB07Flu3blXqfP7550hMTMScOXNw4MAB9OrVC1FRUTh79qxS59lnn0V2djY2btyIw4cP47HHHsOTTz6JgwcP1vsZSEJwllplZrMZPj4+OH+8IwwttU0dDhERqZT5ghV+t59AUVERDAaDa77jys+k/o++Djd3D4faKreUYN/Xs5we79GjR9GtWzfs27cP/fr1AwAkJydj2LBhOHXqFIKDg6tdU1RUBH9/f6xbtw6PP/44AODYsWPo2rUr0tLSMGDAAHz33Xd46KGHkJeXh8DAQADAqlWrMH36dJw7dw46nQ7Tp0/H5s2bkZWVpbQ9YsQIFBYWIjk5GQAQHh6O/v37Y/ny5QAAWZYREhKCSZMmYcaMGQCAFi1a4L333sPIkSOVdlq3bo0FCxZg7Nix9XoO7KEiIiJSOxUP+aWlpcHX11dJpgAgMjISGo0Ge/furfGajIwMWCwWREZGKsdCQ0PRtm1bpKWlKe326NFDSaYAICoqCmazGUeOHFHqVG7DVsfWRllZGTIyMuzqaDQaREZGKnUAYODAgfj8889RUFAAWZaxfv16lJSU4P7776/3c+AqPyIiIpVz5io/s9lsd1yv10Ov1193uyaTCQEBAXbH3Nzc0KpVK5hMplqv0el08PX1tTseGBioXGMymeySKdt527m66pjNZly+fBnnz5+H1Wqtsc6xY8eUz1988QWeeuoptG7dGm5ubvDy8sLXX3+NTp061fMpsIeKiIhI/Wz7UDlaAISEhMDHx0cp8+fPr/ErZ8yYAUmS6iyVk5Lm7JVXXkFhYSG2bduG/fv3IzExEU8++SQOHz5c7zbYQ0VERHQTyc3NtZtDVVvv1NSpUzF69Og62+rYsSOMRqPdBG8AKC8vR0FBAYxGY43XGY1GlJWVobCw0K6XKj8/X7nGaDRWW41nWwVYuU7VlYH5+fkwGAzw9PSEVquFVqutsY6tjf/+979Yvnw5srKycMcddwAAevXqhR9++AErVqzAqlWr6nwGNuyhIiIiUjnbkJ+jBQAMBoNdqS2h8vf3R2hoaJ1Fp9MhIiIChYWFyMjIUK7dvn07ZFlGeHh4jW2HhYXB3d0dqampyrHs7Gzk5OQgIiICABAREYHDhw/bJWspKSkwGAzo1q2bUqdyG7Y6tjZ0Oh3CwsLs6siyjNTUVKXOpUuXAFTMrapMq9VCluu/NJIJFRERkdqpeFJ6165dMXToUIwbNw7p6en497//jYSEBIwYMUJZ4Xf69GmEhoYqPU4+Pj6Ii4tDYmIiduzYgYyMDIwZMwYREREYMGAAAGDIkCHo1q0bRo4ciZ9++glbt27FrFmzEB8frySBEyZMwIkTJzBt2jQcO3YMK1euxBdffIEpU6Yo8SUmJuLDDz9EUlISjh49iokTJ6K4uBhjxowBUDEZvlOnTnjuueeQnp6O//73v/j73/+OlJQUDB8+vN7PgUN+RERE5JC1a9ciISEBgwcPhkajQUxMDN59913lvMViQXZ2ttIbBABLlixR6paWliIqKgorV65Uzmu1WmzatAkTJ05EREQEvL29MWrUKLz66qtKnQ4dOmDz5s2YMmUK3nnnHbRp0wYfffQRoqKilDpPPfUUzp07h9mzZ8NkMqF3795ITk5WJqq7u7tjy5YtmDFjBh5++GFcvHgRnTp1QlJSEoYNG1bvZ9Ds9qEqLS1FeHg4fvrpJxw8eBC9e/dWzh06dAjx8fHYt28f/P39MWnSJEybNq1B7XMfKiIiqo/G3IdqQPRrTtmH6j+bX3FpvDezZjfkN23atBo3CTObzRgyZAjatWuHjIwMLFq0CHPnzsUHH3zQBFESERE5kRNX+ZFrNKshv++++w7ff/89vvrqK3z33Xd259auXYuysjJ88skn0Ol0uOOOO5CZmYm33377mtvfExERETmi2fRQ5efnY9y4cfjss8/g5eVV7XxaWhruvfde6HQ65VhUVBSys7Nx/vz5xgyViIjIqZy5yo9co1kkVEIIjB49GhMmTLDb2r6y+uyoWpPS0lKYzWa7QkREpCoqXuVHFZo0oarvLqzLli3DhQsXMHPmTKfHMH/+fLsdY0NCQpz+HURERHRja9I5VPXdhXX79u1IS0urtvlYv379EBsbi6SkpFp3SwVQ606tADBz5kwkJiYqn81mM5MqIiJSFWe+y49co0kTKn9/f/j7+1+z3rvvvovXX39d+ZyXl4eoqCh8/vnnyi6sERERePnll2GxWODu7g6gYrfULl26wM/Pr9a2HX0pJBERkcvJoqI42ga5TLNY5de2bVu7zy1atAAA3HbbbWjTpg0A4Omnn8a8efMQFxeH6dOnIysrC++88w6WLFnS6PESERE5lTPmQDGfcqlmkVDVh4+PD77//nvEx8cjLCwMt9xyC2bPns0tE4iIiMjlmmVC1b59e9S0wXvPnj3xww8/NEFEREREriPBCXOonBIJ1aZZJlREREQ3FWfsdM6d0l2qWexDRURERKRm7KEiIiJSOW6boH5MqIiIiNSOq/xUj0N+RERERA5iDxUREZHKSUJAcnBSuaPXU92YUBEREamdfKU42ga5DIf8iIiIiBzEHioiIiKV45Cf+jGhIiIiUjuu8lM9JlRERERqx53SVY9zqIiIiIgcxB4qIiIileNO6erHhIqIiEjtOOSnehzyIyIiInIQe6iIiIhUTpIriqNtkOswoSIiIlI7DvmpHof8iIiIiBzEHioiIiK148aeqseEioiISOX46hn145AfERERkYPYQ0VERKR2nJSuekyoiIiI1E4AcHTbA+ZTLsWEioiISOU4h0r9OIeKiIiIyEHsoSIiIlI7ASfMoXJKJFQLJlRERERqx0npqschPyIiIiIHsYeKiIhI7WQAkhPaIJdhQkVERKRyXOWnfhzyIyIiInJQs0qoNm/ejPDwcHh6esLPzw/Dhw+3O5+Tk4Po6Gh4eXkhICAAL730EsrLy5smWCIiImexTUp3tJDLNJshv6+++grjxo3Dm2++iQceeADl5eXIyspSzlutVkRHR8NoNGLPnj04c+YMnn32Wbi7u+PNN99swsiJiIgcxFV+qtcsEqry8nK8+OKLWLRoEeLi4pTj3bp1U37//fff4+eff8a2bdsQGBiI3r1747XXXsP06dMxd+5c6HS6pgidiIiIbgLNYsjvwIEDOH36NDQaDfr06YOgoCA8+OCDdj1UaWlp6NGjBwIDA5VjUVFRMJvNOHLkSK1tl5aWwmw22xUiIiJV4ZCf6jWLhOrEiRMAgLlz52LWrFnYtGkT/Pz8cP/996OgoAAAYDKZ7JIpAMpnk8lUa9vz58+Hj4+PUkJCQlx0F0RERNdJdlIhl2nShGrGjBmQJKnOcuzYMchyxZ+Cl19+GTExMQgLC8Pq1ashSRI2bNjgUAwzZ85EUVGRUnJzc51xa0RERE5j2zbB0UKu06RzqKZOnYrRo0fXWadjx444c+YMAPs5U3q9Hh07dkROTg4AwGg0Ij093e7a/Px85Vxt9Ho99Hr99YRPREREBKCJEyp/f3/4+/tfs15YWBj0ej2ys7Nx9913AwAsFgt+++03tGvXDgAQERGBN954A2fPnkVAQAAAICUlBQaDwS4RIyIiana4yk/1msUqP4PBgAkTJmDOnDkICQlBu3btsGjRIgDAE088AQAYMmQIunXrhpEjR2LhwoUwmUyYNWsW4uPj2QNFRETNmywAycGESGZC5UrNIqECgEWLFsHNzQ0jR47E5cuXER4eju3bt8PPzw8AoNVqsWnTJkycOBERERHw9vbGqFGj8OqrrzZx5ERERHSjazYJlbu7OxYvXozFixfXWqddu3bYsmVLI0ZFRETUCDjkp3rNJqEiIiK6eTljHykmVK7ULPahIiIiIlIz9lARERGpHYf8VI8JFRERkdrJAg4P2XGVn0txyI+IiIjIQeyhIiIiUjshVxRH2yCXYQ8VERGR2tnmUDlaXKSgoACxsbEwGAzw9fVFXFwcLl68WOc1JSUliI+PR+vWrdGiRQvExMQor4yzycnJQXR0NLy8vBAQEICXXnoJ5eXldnV27tyJvn37Qq/Xo1OnTlizZo3d+d27d+Phhx9GcHAwJEnCN998Uy0WIQRmz56NoKAgeHp6IjIyEr/88kuDngETKiIiIrWThXOKi8TGxuLIkSNISUnBpk2bsHv3bowfP77Oa6ZMmYJvv/0WGzZswK5du5CXl4fHHntMOW+1WhEdHY2ysjLs2bMHSUlJWLNmDWbPnq3UOXnyJKKjozFo0CBkZmZi8uTJGDt2LLZu3arUKS4uRq9evbBixYpaY1m4cCHeffddrFq1Cnv37oW3tzeioqJQUlJS72cgCcFp/5WZzWb4+Pjg/PGOMLTUNnU4RESkUuYLVvjdfgJFRUUwGAyu+Y4rP5Mib50AN41jr1Erl0ux7fQqp8d79OhRdOvWDfv27UO/fv0AAMnJyRg2bBhOnTqF4ODgatcUFRXB398f69atw+OPPw4AOHbsGLp27Yq0tDQMGDAA3333HR566CHk5eUhMDAQALBq1SpMnz4d586dg06nw/Tp07F582ZkZWUpbY8YMQKFhYVITk6u9r2SJOHrr7/G8OHDlWNCCAQHB2Pq1Kn429/+psQXGBiINWvWYMSIEfV6DuyhIiIiUjsnDvmZzWa7Ulpa6lBoaWlp8PX1VZIpAIiMjIRGo8HevXtrvCYjIwMWiwWRkZHKsdDQULRt2xZpaWlKuz169FCSKQCIioqC2WzGkSNHlDqV27DVsbVRHydPnoTJZLJrx8fHB+Hh4Q1qhwkVERGR2gk4IaGqaCokJAQ+Pj5KmT9/vkOhmUwmBAQE2B1zc3NDq1atYDKZar1Gp9PB19fX7nhgYKByjclkskumbOdt5+qqYzabcfny5XrHX7ntmmKpD67yIyIiuonk5ubaDfnp9TUPJc6YMQMLFiyos62jR486NbbmjAkVERGR2jlxp3SDwVCvOVRTp07F6NGj66zTsWNHGI1GnD171u54eXk5CgoKYDQaa7zOaDSirKwMhYWFdr1U+fn5yjVGoxHp6el219lWAVauU3VlYH5+PgwGAzw9Pa95j5Xbys/PR1BQkF07vXv3rlcbAIf8iIiI1E+WnVMawN/fH6GhoXUWnU6HiIgIFBYWIiMjQ7l2+/btkGUZ4eHhNbYdFhYGd3d3pKamKseys7ORk5ODiIgIAEBERAQOHz5sl6ylpKTAYDCgW7duSp3Kbdjq2Nqojw4dOsBoNNq1YzabsXfv3ga1w4SKiIiIrlvXrl0xdOhQjBs3Dunp6fj3v/+NhIQEjBgxQlnhd/r0aYSGhio9Tj4+PoiLi0NiYiJ27NiBjIwMjBkzBhERERgwYAAAYMiQIejWrRtGjhyJn376CVu3bsWsWbMQHx+vDFNOmDABJ06cwLRp03Ds2DGsXLkSX3zxBaZMmaLEd/HiRWRmZiIzMxNAxST0zMxM5OTkAKhY+Td58mS8/vrr2LhxIw4fPoxnn30WwcHBdqsBr4VDfkRERGqn8pcjr127FgkJCRg8eDA0Gg1iYmLw7rvvKuctFguys7Nx6dIl5diSJUuUuqWlpYiKisLKlSuV81qtFps2bcLEiRMREREBb29vjBo1Cq+++qpSp0OHDti8eTOmTJmCd955B23atMFHH32EqKgopc7+/fsxaNAg5XNiYiIAYNSoUcomoNOmTUNxcTHGjx+PwsJC3H333UhOToaHh0e9nwH3oaqC+1AREVF9NOo+VLf8FW4anUNtlctl2PbHJy6N92bGIT8iIiIiB3HIj4iISO1kAWUjKYfaIFdhQkVERKRyQsgQomGr9Gpqg1yHCRUREZHaCSe83JhTpl2Kc6iIiIiIHMQeKiIiIrUTTphDxR4ql2JCRUREpHayDEgOzoHiHCqX4pAfERERkYPYQ0VERKR2HPJTPSZUREREKidkGcLBIT9um+BaHPIjIiIichB7qIiIiNSOQ36qx4SKiIhI7WQBSEyo1KzZDPkdP34cjzzyCG655RYYDAbcfffd2LFjh12dnJwcREdHw8vLCwEBAXjppZdQXl7eRBETERHRzaLZJFQPPfQQysvLsX37dmRkZKBXr1546KGHYDKZAABWqxXR0dEoKyvDnj17kJSUhDVr1mD27NlNHDkREZGDhKjYR8qhwh4qV2oWCdUff/yBX375BTNmzEDPnj3RuXNnvPXWW7h06RKysrIAAN9//z1+/vln/OMf/0Dv3r3x4IMP4rXXXsOKFStQVlbWxHdARER0/YQsnFLIdZpFQtW6dWt06dIFn376KYqLi1FeXo73338fAQEBCAsLAwCkpaWhR48eCAwMVK6LioqC2WzGkSNHam27tLQUZrPZrhAREamKw71TMndKd7FmMSldkiRs27YNw4cPR8uWLaHRaBAQEIDk5GT4+fkBAEwmk10yBUD5bBsWrMn8+fMxb9481wVPREREN7wm7aGaMWMGJEmqsxw7dgxCCMTHxyMgIAA//PAD0tPTMXz4cDz88MM4c+aMQzHMnDkTRUVFSsnNzXXS3RERETkHh/zUr0l7qKZOnYrRo0fXWadjx47Yvn07Nm3ahPPnz8NgMAAAVq5ciZSUFCQlJWHGjBkwGo1IT0+3uzY/Px8AYDQaa21fr9dDr9c7diNERESuJGQAfDmymjVpQuXv7w9/f/9r1rt06RIAQKOx71DTaDSQ5Yo/IBEREXjjjTdw9uxZBAQEAABSUlJgMBjQrVu3esckrqyCMF/kHzwiIqqd7eeEaITVc+WwOLyvZzkszgmGaiaagXPnzonWrVuLxx57TGRmZors7Gzxt7/9Tbi7u4vMzEwhhBDl5eWie/fuYsiQISIzM1MkJycLf39/MXPmzAZ9V25urm07WhYWFhYWlmuW3NxcV/zoE0IIcfnyZWE0Gp0Wq9FoFJcvX3ZZvDczSYjmsTHF/v378fLLL2P//v2wWCy44447MHv2bDz44INKnd9//x0TJ07Ezp074e3tjVGjRuGtt96Cm1v9O+JkWUZeXh5atmwJSZIaHKfZbEZISAhyc3OV4cnmiPehHjfCPQC8D7XhfThOCIELFy4gODi42giKM5WUlDht+x+dTgcPDw+ntEX2mk1C1VyYzWb4+PigqKio2f8lxftQhxvhHgDeh9rwPoicq1nsQ0VERESkZkyoiIiIiBzEhMrJ9Ho95syZ0+y3YuB9qMeNcA8A70NteB9EzsU5VEREREQOYg8VERERkYOYUBERERE5iAkVERERkYOYUBERERE5iAmVkxw/fhyPPPIIbrnlFhgMBtx9993YsWOHXZ2cnBxER0fDy8sLAQEBeOmll1BeXt5EEddu8+bNCA8Ph6enJ/z8/DB8+HC7883lPgCgtLQUvXv3hiRJyMzMtDt36NAh3HPPPfDw8EBISAgWLlzYNEHW4rfffkNcXBw6dOgAT09P3HbbbZgzZ061HZPVfh82K1asQPv27eHh4YHw8PBqLzNXm/nz56N///5o2bIlAgICMHz4cGRnZ9vVKSkpQXx8PFq3bo0WLVogJiZGeSm7Gr311luQJAmTJ09WjjWXezh9+jSeeeYZtG7dGp6enujRowf279+vnBdCYPbs2QgKCoKnpyciIyPxyy+/NGHEdNNpurfe3Fg6d+4shg0bJn766Sdx/Phx8fzzzwsvLy9x5swZIcTVdw1GRkaKgwcPii1btohbbrmlwe8adLUvv/xS+Pn5iffee09kZ2eLI0eOiM8//1w531zuw+aFF14QDz74oAAgDh48qBwvKioSgYGBIjY2VmRlZYl//vOfwtPTU7z//vtNF2wV3333nRg9erTYunWr+O9//yv+9a9/iYCAADF16lSlTnO4DyGEWL9+vdDpdOKTTz4RR44cEePGjRO+vr4iPz+/qUOrVVRUlFi9erXIysoSmZmZYtiwYaJt27bi4sWLSp0JEyaIkJAQkZqaKvbv3y8GDBggBg4c2IRR1y49PV20b99e9OzZU7z44ovK8eZwDwUFBaJdu3Zi9OjRYu/eveLEiRNi69at4tdff1XqvPXWW8LHx0d888034qeffhJ//vOfRYcOHfjeOmo0TKic4Ny5cwKA2L17t3LMbDYLACIlJUUIIcSWLVuERqMRJpNJqfPee+8Jg8EgSktLGz3mmlgsFnHrrbeKjz76qNY6zeE+bLZs2SJCQ0PFkSNHqiVUK1euFH5+fnYxT58+XXTp0qUJIq2/hQsXig4dOiifm8t93HnnnSI+Pl75bLVaRXBwsJg/f34TRtUwZ8+eFQDErl27hBBCFBYWCnd3d7FhwwalztGjRwUAkZaW1lRh1ujChQuic+fOIiUlRdx3331KQtVc7mH69Oni7rvvrvW8LMvCaDSKRYsWKccKCwuFXq8X//znPxsjRCLBIT8naN26Nbp06YJPP/0UxcXFKC8vx/vvv4+AgACEhYUBANLS0tCjRw8EBgYq10VFRcFsNuPIkSNNFbqdAwcO4PTp09BoNOjTpw+CgoLw4IMPIisrS6nTHO4DAPLz8zFu3Dh89tln8PLyqnY+LS0N9957L3Q6nXIsKioK2dnZOH/+fGOG2iBFRUVo1aqV8rk53EdZWRkyMjIQGRmpHNNoNIiMjERaWloTRtYwRUVFAKA8/4yMDFgsFrv7Cg0NRdu2bVV3X/Hx8YiOjraLFWg+97Bx40b069cPTzzxBAICAtCnTx98+OGHyvmTJ0/CZDLZ3YePjw/Cw8NVdR90Y2NC5QSSJGHbtm04ePAgWrZsCQ8PD7z99ttITk6Gn58fAMBkMtklIQCUzyaTqdFjrsmJEycAAHPnzsWsWbOwadMm+Pn54f7770dBQQGA5nEfQgiMHj0aEyZMQL9+/Wqs0xzuo6pff/0Vy5Ytw3PPPaccaw738ccff8BqtdYYp1pivBZZljF58mTcdddd6N69O4CK56vT6eDr62tXV233tX79ehw4cADz58+vdq653MOJEyfw3nvvoXPnzti6dSsmTpyIF154AUlJSQCu/llvzn/GqPljQlWHGTNmQJKkOsuxY8cghEB8fDwCAgLwww8/ID09HcOHD8fDDz+MM2fONPVt1Ps+ZFkGALz88suIiYlBWFgYVq9eDUmSsGHDhia+i/rfx7Jly3DhwgXMnDmzqUOuUX3vo7LTp09j6NCheOKJJzBu3LgmivzmFR8fj6ysLKxfv76pQ2mQ3NxcvPjii1i7di08PDyaOpzrJssy+vbtizfffBN9+vTB+PHjMW7cOKxataqpQyNSuDV1AGo2depUjB49us46HTt2xPbt27Fp0yacP38eBoMBALBy5UqkpKQgKSkJM2bMgNForLaqybaSxmg0uiR+m/rehy3569atm3Jcr9ejY8eOyMnJAYBmcR/bt29HWlpatXd79evXD7GxsUhKSoLRaKy2kklt92GTl5eHQYMGYeDAgfjggw/s6jXlfdTXLbfcAq1WW2OcaomxLgkJCdi0aRN2796NNm3aKMeNRiPKyspQWFho18OjpvvKyMjA2bNn0bdvX+WY1WrF7t27sXz5cmzdulX19wAAQUFBdn8vAUDXrl3x1VdfAbj6Zz0/Px9BQUFKnfz8fPTu3bvR4qSbXFNP4roRbNy4UWg0GnHhwgW747fffrt44403hBBXJ3NXXtX0/vvvC4PBIEpKSho13toUFRUJvV5vNym9rKxMBAQEKKvGmsN9/P777+Lw4cNK2bp1qwAgvvzyS5GbmyuEuDqZu6ysTLlu5syZqpvMferUKdG5c2cxYsQIUV5eXu18c7mPO++8UyQkJCifrVaruPXWW1U9KV2WZREfHy+Cg4PF8ePHq523Tej+8ssvlWPHjh1T1YRus9ls9/+Fw4cPi379+olnnnlGHD58uFncgxBC/OUvf6k2KX3y5MkiIiJCCHF1UvrixYuV87a/zzgpnRoLEyonOHfunGjdurV47LHHRGZmpsjOzhZ/+9vfhLu7u8jMzBRCXN1uYMiQISIzM1MkJycLf39/1W038OKLL4pbb71VbN26VRw7dkzExcWJgIAAUVBQIIRoPvdR2cmTJ6ut8issLBSBgYFi5MiRIisrS6xfv154eXmparuBU6dOiU6dOonBgweLU6dOiTNnzijFpjnchxAV2ybo9XqxZs0a8fPPP4vx48cLX19fu9WiajNx4kTh4+Mjdu7caffsL126pNSZMGGCaNu2rdi+fbvYv3+/iIiIUH7Iq1XlVX5CNI97SE9PF25ubuKNN94Qv/zyi1i7dq3w8vIS//jHP5Q6b731lvD19RX/+te/xKFDh8QjjzzCbROoUTGhcpJ9+/aJIUOGiFatWomWLVuKAQMGiC1bttjV+e2338SDDz4oPD09xS233CKmTp0qLBZLE0Vcs7KyMjF16lQREBAgWrZsKSIjI0VWVpZdneZwH5XVlFAJIcRPP/0k7r77bqHX68Wtt94q3nrrraYJsBarV68WAGoslan9PmyWLVsm2rZtK3Q6nbjzzjvFf/7zn6YOqU61PfvVq1crdS5fviyef/554efnJ7y8vMSjjz5ql/CqUdWEqrncw7fffiu6d+8u9Hq9CA0NFR988IHdeVmWxSuvvCICAwOFXq8XgwcPFtnZ2U0ULd2MJCGEaPRxRiIiIqIbCFf5ERERETmICRURERGRg5hQERERETmICRURERGRg5hQERERETmICRURERGRg5hQERERETmICRURERGRg5hQERERETmICRURERGRg5hQEVGNPv30U7Ru3RqlpaV2x4cPH46RI0c2UVREROrEhIqIavTEE0/AarVi48aNyrGzZ89i8+bN+Otf/9qEkRERqQ8TKiKqkaenJ55++mmsXr1aOfaPf/wDbdu2xf333990gRERqRATKiKq1bhx4/D999/j9OnTAIA1a9Zg9OjRkCSpiSMjIlIXSQghmjoIIlKvsLAwPP744xgyZAjuvPNO/PbbbwgJCWnqsIiIVMWtqQMgInUbO3Ysli5ditOnTyMyMpLJFBFRDdhDRUR1KioqQnBwMMrLy/Hpp5/iqaeeauqQiIhUh3OoiKhOPj4+iImJQYsWLTB8+PCmDoeISJWYUBHRNZ0+fRqxsbHQ6/VNHQoRkSpxyI+IanX+/Hns3LkTjz/+OH7++Wd06dKlqUMiIlIlTkonolr16dMH58+fx4IFC5hMERHVgT1URERERA7iHCoiIiIiBzGhIiIiInIQEyoiIiIiBzGhIiIiInIQEyoiIiIiBzGhIiIiInIQEyoiIiIiBzGhIiIiInIQEyoiIiIiB/1/hPgcYHtmNc8AAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "eps_o, eps_e, _ = (e.real for e in LiNbO3.eps_diagonal(td.C_0/opt_wavelength))\n", + "eps_o, eps_e, _ = (e.real for e in LiNbO3.eps_diagonal(td.C_0 / opt_wavelength))\n", "n_e = eps_e**0.5\n", "r33 = 30.9e-6 # μm/V\n", "\n", @@ -627,15 +1354,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "id": "6a02f7c3", "metadata": {}, "outputs": [], "source": [ "# Use a single data point for the homogeneous directions\n", - "eps_o_array = td.SpatialDataArray(\n", - " np.full((1, 1, 1), eps_o), coords={\"x\": [0], \"y\": [0], \"z\": [0]}\n", - ")\n", + "eps_o_array = td.SpatialDataArray(np.full((1, 1, 1), eps_o), coords={\"x\": [0], \"y\": [0], \"z\": [0]})\n", "\n", "\n", "def perturbed_solver(voltage):\n", @@ -644,10 +1369,11 @@ " yy=td.CustomMedium(permittivity=(n_e + voltage * Δn) ** 2, subpixel=True),\n", " zz=td.CustomMedium(permittivity=eps_o_array, subpixel=True),\n", " )\n", - " perturbed_sim = sim_opt.updated_copy(structures = [core.updated_copy(medium = perturbed_ln), \n", - " ridge.updated_copy(medium = perturbed_ln)])\n", - " ms = mode_solver_opt.updated_copy(simulation = perturbed_sim)\n", - " return ms " + " perturbed_sim = sim_opt.updated_copy(\n", + " structures=[core.updated_copy(medium=perturbed_ln), ridge.updated_copy(medium=perturbed_ln)]\n", + " )\n", + " ms = mode_solver_opt.updated_copy(simulation=perturbed_sim)\n", + " return ms" ] }, { @@ -660,19 +1386,145 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "id": "29e27d6c", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4a8a2d64c2da4fa899e13655803855e6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
12:00:49 -03 Started working on Batch containing 5 tasks.                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m12:00:49 -03\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m5\u001b[0m tasks. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
12:00:56 -03 Maximum FlexCredit cost: 0.020 for the whole batch.                \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m12:00:56 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.020\u001b[0m for the whole batch. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             Use 'Batch.real_cost()' to get the billed FlexCredit cost after the\n",
+       "             Batch has completed.                                               \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after the\n", + "\u001b[2;36m \u001b[0mBatch has completed. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "684fa8490c094907a5d4e795baf0d256", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
12:01:00 -03 Batch complete.                                                    \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m12:01:00 -03\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "7ab4b49506d44bba8a78a0d9d3673a2e",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "voltages = np.arange(5)\n",
     "\n",
-    "sims = {str(v):perturbed_solver(v) for v in voltages}\n",
+    "sims = {str(v): perturbed_solver(v) for v in voltages}\n",
     "\n",
-    "batch = web.Batch(simulations = sims,\n",
-    "                  folder_name = 'perturbed_mode')\n",
+    "batch = web.Batch(simulations=sims, folder_name=\"perturbed_mode\")\n",
     "\n",
-    "batch_data = batch.run(path_dir = 'batch_perturbed_mode')"
+    "batch_data = batch.run(path_dir=\"batch_perturbed_mode\")"
    ]
   },
   {
@@ -685,15 +1537,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "id": "7b8459f0",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmMAAAGwCAYAAADlimJhAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjcsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvTLEjVAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAdrtJREFUeJzt3XlYFWX/P/D3sOMCrmwGiFJuuWCmAhbuBEZYVuYGCuK+4IJBmKapqLjggksqIEmZu5YriqapPaZy1NBMDRFkcWMRUFC4f3/47fw6sshRcDjwfl3XXNdzZu6Z+32f89D5OHOfGUkIIUBEREREstCSOwARERFRdcZijIiIiEhGLMaIiIiIZMRijIiIiEhGLMaIiIiIZMRijIiIiEhGLMaIiIiIZKQjdwAqXWFhIZKTk1G7dm1IkiR3HCIiIioDIQQePnwICwsLaGmVfu6LxVgll5ycDEtLS7ljEBER0UtITEzEG2+8UWobFmOVXO3atQE8+zCNjIxkTkNERERlkZWVBUtLS+X3eGlYjFVy/16aNDIyYjFGRESkYcoyxYgT+ImIiIhkxGKMiIiISEYsxoiIiIhkxGKMiIiISEYsxoiIiIhkxGKMiIiISEYsxoiIiIhkxGKMiIiISEYsxoiIiIhkxGKMiIiISEYsxoiIiIhkxGKsGktOv4Pfrp5DcvoduaMQERFVW3xQeDX1w8k9mLIpCEIIaElaWDTYHwMdP5I7FhERUbXDM2PVUHL6HUz9v0IMAApFIfyi5vMMGRERkQxYjFVD/9xJROH/FWL/KigsxD9pt2RKREREVH2xGKuGmphYQksq+tEv2rsed7MeyJCIiIio+mIxVg1Z1DXBosH+0NZ69vFLkgRdbR38fk2BnnM9cOrv8zInJCIiqj4kIZ67XkWVSlZWFoyNjZGZmQkjI6NyPXZy+h3E30mEjYklsh5lw+e7r3At9Sa0JC1M/XA4Jrp4QltLu1z7JCIiqg7U+f5mMVbJVWQx9rycvEf4avMi/HR6LwDgveYdsMprFhoa1a/QfomIiKoadb6/eZmSlGrqG2KZ59dYPnQGDPUMcOKvs+g+Zwh+++us3NGIiIiqLBZjVMTnnV1xMCAczS2a4m7WA3y2bDyCf16HgsICuaMRERFVOSzGqFhvmdtgn/8GDHL8CEIILN67AZ8vm4C0zHtyRyMiIqpSWIxRiWroGWDxkK8QOuwb1NA3xMmr59BjzhD8evl/ckcjIiKqMliM0Qv16/QBDgVEoGUjW9x7mI4vVvhi/u41eFrwVO5oREREGo/FGJWJrZk19n65Hh7vfQwhBEL2R+DTkPFI4SOUiIiIXgmLMSozQz0DLBz0JdZ4f4taBjXw+7VY9JjrgaNxv8sdjYiISGPJWowdP34cbm5usLCwgCRJ2LVr1wv3iYqKQtu2bVGjRg2Ym5vDy8sL9+/fV26PiIiAJEkqi4GBgcoxduzYgd69e6N+/fqQJAkKhaLE/oQQcHFxKTbf8/1IkoTNmzertDl27Bjat28PfX192NraIiIi4oVjrOz6vtsLhwIi8LblW3iQnYEBK3wxd+cqXrYkIiJ6CbIWYzk5OWjbti1CQ0PL1P7kyZPw8PCAt7c34uLisHXrVpw5cwY+Pj4q7YyMjJCSkqJcEhISivTbpUsXLFiw4IV9hoSEQJKkEreHh4er9NW3b1/ltvj4ePTp0wfdunWDQqGAr68vhg8fjoMHD5ZpvJVZE1Mr/DJtHYY69QMArDgYiX5LxyKZly2JiIjUoiNn5y4uLnBxcSlz+9OnT6Nx48aYMGECAMDGxgYjR44sUlRJkgQzM7MSjzNkyBAAwM2bN0vtT6FQYPHixTh79izMzc2LbVOnTp0S+1qzZg1sbGywePFiAECLFi3w22+/YenSpXB2di52n7y8POTl5SlfZ2VllZpRTga6+pg/wA8Ob7XHlO/n4X/XL6DnnCFYPnQmerZ2kDseERGRRtCoOWP29vZITEzEvn37IIRAWloatm3bBldXV5V22dnZsLa2hqWlJdzd3REXF6d2X7m5uRg4cCBCQ0NLLezGjh2LBg0aoGPHjggLC8N/ny51+vRp9OzZU6W9s7MzTp8+XeLxgoKCYGxsrFwsLS3Vzv66ffROD0QHbkQbq+Z4kJOJwaGTMXv7CjzhZUsiIqIX0qhizNHREVFRUejfvz/09PRgZmYGY2NjlcuczZo1Q1hYGHbv3o1NmzahsLAQDg4OSEpKUquvSZMmwcHBAe7u7iW2mT17NrZs2YLo6Gj069cPY8aMwYoVK5TbU1NTYWpqqrKPqakpsrKy8OjRo2KPGRAQgMzMTOWSmJioVm65NG74Bn72+w7e3T4DAKyKjsLHi0cj6UGqzMmIiIgqN1kvU6rr8uXLmDhxImbMmAFnZ2ekpKTAz88Po0aNwoYNGwA8O3tmb2+v3MfBwQEtWrTA2rVr8e2335apnz179iAmJgaxsbGltvv666+V/9vOzg45OTkIDg5WXkZ9Gfr6+tDX13/p/eWkr6uHuf2nwOGt9pgUORdn/7mEnnM8sHzo1+jd5j254xEREVVKGnVmLCgoCI6OjvDz80ObNm3g7OyMVatWISwsDCkpKcXuo6urCzs7O1y/fr3M/cTExODGjRuoU6cOdHR0oKPzrGbt168funbtWuJ+nTp1QlJSknLOl5mZGdLS0lTapKWlwcjICIaGhmXOo2n62HVDdGAk2lm3REZuFjxW+WHmtmXIf/pE7mhERESVjkYVY7m5udDSUo2sra0NACpztf6roKAAly5dKnECfnH8/f1x8eJFKBQK5QIAS5cuRXh4eIn7KRQK1K1bV3lmy97eHkeOHFFpEx0drXLmrqqybmCBPX5rMaL7FwCAtYd/hPuikbh1L1nmZERERJWLrJcps7OzVc5YxcfHQ6FQoF69erCyskJAQABu376NyMhIAICbmxt8fHywevVq5WVKX19fdOzYERYWFgCezePq3LkzbG1tkZGRgeDgYCQkJGD48OHKfh48eIBbt24hOflZYXD16lUAz85k/Xd5npWVFWxsbAAAP//8M9LS0tC5c2cYGBggOjoa8+bNw9SpU5XtR40ahZUrV2LatGnw8vJCTEwMtmzZgr1795bzO1k56enoYvbnvnB4qz0mRn6L2JuX0WueJ0I8psOlnZPc8YiIiCoHIaOjR48KAEUWT09PIYQQnp6ewsnJSWWf5cuXi5YtWwpDQ0Nhbm4uBg0aJJKSkpTbfX19hZWVldDT0xOmpqbC1dVVnD9/XuUY4eHhxfY7c+bMErMCEDt37lS+3r9/v2jXrp2oVauWqFmzpmjbtq1Ys2aNKCgoKDLGdu3aCT09PdGkSRMRHh6u1nuUmZkpAIjMzEy19qtsbt1LFi7zvYTpyE7CdGQnMf2nJSLvSb7csYiIiCqEOt/fkhAlXN+jSiErKwvGxsbIzMyEkZGR3HFeSf7TJ5i3azXWHP4BANDWugW+Gz4H1g0byZyMiIiofKnz/a1Rc8ZIs+np6OKbTycgcswi1K1phAsJV9Bzrgd+OR8jdzQiIiLZsBij1653my44HPg93m3SGg8f52D4d18h4MdFePwk78U7ExERVTEsxkgWjeqZYseU1Rjn/OzRVOG/boPbQh/E39GMm9wSERGVFxZjJBtdbR1M/3gsosYtQb2axriU+Dd6zfPErrPRckcjIiJ6bViMkex6vO2Aw9O/Ryfbtsh+nItR67/GtB8W8LIlERFVCyzGqFKwqGuC7ZNCMfEDT0iShMjjO9FnwXDcSLsldzQiIqIKxWKMKg0dbR0E9B2NH8eHoH7tuohLuobe84Zix5mDckcjIiKqMCzGqNLp2rITjgRGwuGt9sjJy8WYsJmY8v08PMp/LHc0IiKicsdijColszoNsdV3BSb38YYkSYg6uQeuC7xxLfWm3NGIiIjKFYsxqrS0tbQxzc0HP01YhoZG9XDl9g04Bw3D1t/3yx2NiIio3LAYo0rv/RYdcSTwe3Rp1gG5eY8wPmIWfCPnIJeXLYmIqApgMUYawcS4Pn6auAx+bj7QkrSw+dQv+CBoGK4mx8sdjYiI6JWwGCONoa2ljSl9vLHVdwVMjOrj75R4fBA0FJtP/SJ3NCIiopfGYow0jmOzd3BkeiScWnTEoyd58I2cg/ERs5GT90juaERERGpjMUYaqaFRffw4PgT+H42ElqSFrb/vwwdBQ3Hl9g25oxEREamFxRhpLC0tLfi6DsP2yaEwM26Ia6kJcJnvhR9O7oEQQu54REREZcJijDSe/Zt2ODw9Et1adcbjJ3mY/P08jAv/BtmPc+SORkRE9EIsxqhKaFC7LqLGLkHgx2OgraWN7WcOwjloGOKSrskdjYiIqFQsxqjK0NLSwnhnD+ycvAoWdU1wI+0WXOd74/sTu3jZkoiIKi0WY1TldLRti+jASPRs7Yi8p/nwi5qP0Rtm4OEjXrYkIqLKh8UYVUn1a9VB5OhgzPhkPHS0tLHrbDR6z/PEpVtX5Y5GRESkgsUYVVlaWloY03sQdk1dg0b1zBB/Nwl9Fg5H+LFtvGxJRESVBosxqvI6NGmNw4Eb4dzmPeQ/fYKAzYvgsy4QWY+y5Y5GRETEYoyqh7o1jRExeiFmfToROlra+OV8DHrN9cSFhL/kjkZERNUcizGqNiRJwsieA7DHby3eqGeGhHu34Rbsg/VHt/CyJRERyYbFGFU77W3exuHASLi0dUL+0yeY/tMSDP8uAJm5D+WORkRE1RCLMaqW6tQ0Qtio+Zjz+SToautgb+wx9JzrgfPxcXJHIyKiaobFGFVbkiRhePf++HnaOlg3aITE+ylwXzQSaw//yMuWRET02rAYo2qvnXULRAduxIftu+NJwVPM3LYMQ1dPQ3pOptzRiIioGmAxRgTAyLAW1vnMxbwvpkJPRxcHL55Az7meOPfPn3JHIyKiKk7WYuz48eNwc3ODhYUFJEnCrl27XrhPVFQU2rZtixo1asDc3BxeXl64f/++cntERAQkSVJZDAwMVI6xY8cO9O7dG/Xr14ckSVAoFCX2J4SAi4tLqfnu37+PN954A5IkISMjQ7n+2LFjRbJIkoTU1NQXjpNeP0mS4NX1U/wybR0aN3wDtx+kwn3RSKw6FIXCwkK54xERURUlazGWk5ODtm3bIjQ0tEztT548CQ8PD3h7eyMuLg5bt27FmTNn4OPjo9LOyMgIKSkpyiUhIaFIv126dMGCBQte2GdISAgkSSq1jbe3N9q0aVPi9qtXr6rkMTExeWG/JJ82Vs0R/dVGuHfoiaeFBZi9YwU8VvvhQTYvWxIRUfnTkbNzFxcXuLi4lLn96dOn0bhxY0yYMAEAYGNjg5EjRxYpqiRJgpmZWYnHGTJkCADg5s2bpfanUCiwePFinD17Fubm5sW2Wb16NTIyMjBjxgzs37+/2DYmJiaoU6dOqX1R5VLbsCbWeH8Lx7fewddbluLwpZPoOXcI1nh/i462beWOR0REVYhGzRmzt7dHYmIi9u3bByEE0tLSsG3bNri6uqq0y87OhrW1NSwtLeHu7o64OPVvV5Cbm4uBAwciNDS0xMLu8uXLmD17NiIjI6GlVfJb2a5dO5ibm6NXr144efJkqf3m5eUhKytLZSF5SJIEj/c/xj7/DWhqaoXk9Dv4eMkYrDgYycuWRERUbjSqGHN0dERUVBT69+8PPT09mJmZwdjYWOUyZ7NmzRAWFobdu3dj06ZNKCwshIODA5KSktTqa9KkSXBwcIC7u3ux2/Py8jBgwAAEBwfDysqq2Dbm5uZYs2YNtm/fju3bt8PS0hJdu3bF+fPnS+w3KCgIxsbGysXS0lKt3FT+Wr3xJg4GhOOTd3ujoLAAc3euwuDQKbj3MF3uaEREVBWISgKA2LlzZ6lt4uLihLm5uVi4cKG4cOGCOHDggGjdurXw8vIqcZ/8/HzRtGlTMX369CLb4uPjBQARGxursn737t3C1tZWPHz4sMR8kyZNEv3791e+Pnr0qAAg0tPTSx3D+++/LwYPHlzi9sePH4vMzEzlkpiYKACIzMzMUo9LFa+wsFBsOrFLWI97X5iO7CTaTvtQnP47Vu5YRERUCWVmZpb5+1ujzowFBQXB0dERfn5+aNOmDZydnbFq1SqEhYUhJSWl2H10dXVhZ2eH69evl7mfmJgY3LhxA3Xq1IGOjg50dJ5NrevXrx+6du2qbLN161bl9h49egAAGjRogJkzZ5Z47I4dO5aaRV9fH0ZGRioLVQ6SJGFQF3fs99+AN82skZp5F58sGYOQfeG8bElERC9N1gn86srNzVUWRv/S1tYGgBLvmF5QUIBLly4VmVdWGn9/fwwfPlxlXevWrbF06VK4ubkBALZv345Hjx4pt//xxx/w8vLCiRMn0LRp0xKPrVAoSvwxAGmGFo1sccA/HF/+GIxt/9uP+XvW4vS1WKwc9g0aGtWTOx4REWkYWYux7OxslbNE8fHxUCgUqFevHqysrBAQEIDbt28jMjISAODm5gYfHx+sXr0azs7OSElJga+vLzp27AgLCwsAwOzZs9G5c2fY2toiIyMDwcHBSEhIUCmuHjx4gFu3biE5ORnAs1tPAICZmZnK8jwrKyvY2NgAQJGC6969ewCAFi1aKH85GRISAhsbG7Rq1QqPHz/G+vXrERMTg0OHDpXH20cyqmlQAyuGzoBjs3fw1Y/B+PXKGfSc64FVXrPg2OwdueMREZEGkfUy5dmzZ2FnZwc7OzsAwOTJk2FnZ4cZM2YAAFJSUnDr1i1l+6FDh2LJkiVYuXIl3n77bXz22Wdo1qwZduzYoWyTnp4OHx8ftGjRAq6ursjKysKpU6fQsmVLZZs9e/bAzs4Offr0AQB88cUXsLOzw5o1a8p1fPn5+ZgyZQpat24NJycnXLhwAYcPH1Ze0iTNJkkSBjh8iP0B4XjL3AZpmffwWch4LN67AQWFBXLHIyIiDSGJkq7vUaWQlZUFY2NjZGZmcv5YJZaT9wiBPy3G5lO/AADea94BocNmwcS4vszJiIhIDup8f2vUBH6iyqqmviFCPKZjxdCZMNQzwIm/zqLH3CE48dcfckcjIqJKjsUYUTn6rLMLDgaEo7lFU9zNeoDPl03Awp/X8bIlERGViMUYUTl7y9wG+/w3YJDjRxBCYMneDfgsZDzSMu/JHY2IiCohFmNEFaCGngEWD/kKq7xmoaZ+DZz6+zx6zBmCXy//T+5oRERUybAYI6pAn3R0xqGvItDqjTdx72E6vljhi/m71+BpwVO5oxERUSXBYoyogjU1tcIv09bB4/2PIYRAyP4IfLp0HFLS78gdjYiIKgEWY0SvgaGeARYO/BJrhn+LWgY18Pt1BXrM9UBM3Gm5oxERkcxYjBG9Rn079MKhgAi0tnwLD7IzMHDFJMzduYqXLYmIqjEWY0SvWRNTK/w8bR2GOX0KAFhxMBKfLBmD2w/SZE5GRERyYDFGJAMDXX0EDZiKdT7zUNugJs7cuIiec4cg+tJJuaMREdFrxmKMSEZu73RHdOBGtLFqjvScLAwJnYJZ21fgCS9bEhFVGyzGiGTWuOEb+NnvOwzv9jkAYHV0FPouGoXE+ykyJyMioteBxRhRJaCvq4c5/Sdjw8ggGBnWwrn4P9FrricOXjgudzQiIqpgLMaIKpE+dt0QHRiJdtYtkZGbBc/V0zBzawjynz6ROxoREVUQFmNElYx1Awvs8VuLkT2+AACsPbIZ7otGIuFesszJiIioIrAYI6qE9HR0MeszX2wcvRB1ahgh9uZl9JrrgX2xx+SORkRE5YzFGFEl5tz2fUQHbsQ7Nm8j61E2vNb6I/Cnxch7ki93NCIiKicsxogqOcv65tg1dQ1G9xoEANhwdCvcgkcg4e5tJKffwW9XzyGZz7kkItJYkhBCyB2CSpaVlQVjY2NkZmbCyMhI7jgks+hLJzEhYhbSc7Kgr6OH/IInEEJAS9LCosH+GOj4kdwRiYgI6n1/88wYkQbp1doRhwO/Rzvr5sh7mo9//y1VKArhFzWfZ8iIiDQQizEiDdOonikC+o4psr6gsBDxdxJlSERERK+CxRiRBnrTrDG0pKJ/vldT/pEhDRERvQoWY0QayKKuCRYN9oe2luqf8FebF2PqpiA8yn8sUzIiIlIXJ/BXcpzAT6VJTr+D+DuJsKxvjh9P/YKQ/eEQQqC5RVN85zMHb5nbyB2RiKhaUuf7m8VYJcdijNRx/MoZjA3/BnezHsBQzwDzB/ihv30fuWMREVU7/DUlUTX1fouOOBL4Pd5r3gGP8h9j4sZvMSFiNnLyHskdjYiISsBijKiKMTGuj80TlmGa2whoSVrY8vs+fBA0DFdu35A7GhERFUPtYuyvv/4qcdvBgwdfKQwRlQ9tLW1M7uOFbZNWwsy4Ia6l3oTLfC9E/bYbnJlARFS5qF2MtW/fHqGhoSrr8vLyMG7cOLi7u5dbMCJ6dQ5vtcfh6ZHo1qozHj/Jw5RNQRgbNhPZj3PkjkZERP9H7WIsIiICM2bMgKurK9LS0qBQKGBnZ4fDhw/jxIkTFZGRiF5Bg9p1ETV2CQI/HgNtLW3s+OMQes8bij8T/5Y7GhER4SWKsc8//xwXLlzAkydP0KpVK9jb28PJyQnnz5/Hu+++q9axjh8/Djc3N1hYWECSJOzateuF+0RFRaFt27aoUaMGzM3N4eXlhfv37yu3R0REQJIklcXAwEDlGDt27EDv3r1Rv359SJIEhUJRYn9CCLi4uJSa7/79+3jjjTcgSRIyMjJUth07dgzt27eHvr4+bG1tERER8cIxEpU3LS0tjHf2wK4pq9Gorin+uZOIPguGI+LX7bxsSUQks5eewJ+fn4+CggIUFBTA3Ny8SMFTFjk5OWjbtm2Ry54lOXnyJDw8PODt7Y24uDhs3boVZ86cgY+Pj0o7IyMjpKSkKJeEhIQi/Xbp0gULFix4YZ8hISGQJKnUNt7e3mjTpk2R9fHx8ejTpw+6desGhUIBX19fDB8+nHPrSDbvNm2D6MBI9G7TBXlP8+H/YzBGrJuOrEfZckcjIqq+hJp+/PFHUadOHeHm5ibu3LkjDh06JBo1aiQcHBzEjRs31D2cEgCxc+fOUtsEBweLJk2aqKxbvny5aNSokfJ1eHi4MDY2LlOf8fHxAoCIjY0tdntsbKxo1KiRSElJKTHfqlWrhJOTkzhy5IgAINLT05Xbpk2bJlq1aqXSvn///sLZ2blM+YQQIjMzUwAQmZmZZd6H6EUKCwvF6ugo0Wi0gzAd2Ul0DPxExN68LHcsIqIqQ53vb7XPjHl7e2PevHnYs2cPGjZsiF69euHSpUto1KgR2rVrV66F4vPs7e2RmJiIffv2QQiBtLQ0bNu2Da6urirtsrOzYW1tDUtLS7i7uyMuLk7tvnJzczFw4ECEhobCzMys2DaXL1/G7NmzERkZCS2tom/l6dOn0bNnT5V1zs7OOH36dIn95uXlISsrS2UhKm+SJGFUz4HY4/cdLOubI+Hebbgt9MG6Iz/xsiUR0WumdjF2/vx5jB49WmVd3bp1sWXLljJfbnxZjo6OiIqKQv/+/aGnpwczMzMYGxur9NusWTOEhYVh9+7d2LRpEwoLC+Hg4ICkpCS1+po0aRIcHBxK/IVoXl4eBgwYgODgYFhZWRXbJjU1FaampirrTE1NkZWVhUePir8JZ1BQEIyNjZWLpaWlWrmJ1NHephUOB0aij11XPCl4iq+3LoXXGn9k5PAfAUREr4vaxVizZs3w9OlTHD58GGvXrsXDhw8BAMnJyfj444/LPeB/Xb58GRMnTsSMGTNw7tw5HDhwADdv3sSoUaOUbezt7eHh4YF27drByckJO3bsQMOGDbF27doy97Nnzx7ExMQgJCSkxDYBAQFo0aIFBg8e/CpDKva4mZmZyiUxMbFcj0/0POMatbF+RBDm9p8CPR1d7L/wK3rO9cC5f/6UOxoRUbWgdjGWkJCA1q1bw93dHWPHjsXdu3cBAAsWLMDUqVPLPeB/BQUFwdHREX5+fmjTpg2cnZ2xatUqhIWFISUlpdh9dHV1YWdnh+vXr5e5n5iYGNy4cQN16tSBjo4OdHR0AAD9+vVD165dlW22bt2q3N6jRw8AQIMGDTBz5kwAgJmZGdLS0lSOnZaWBiMjIxgaGhbbt76+PoyMjFQWooomSRK8u32GX6atQ+OGbyDpQSrcF43EqkNRKCwslDseEVGVpnYxNnHiRHTo0AHp6ekqBcXHH3+MI0eOlGu45+Xm5haZm6WtrQ0AJc5zKSgowKVLl2Bubl7mfvz9/XHx4kUoFArlAgBLly5FeHg4AGD79u24cOGCcvv69esBACdOnMDYsWMBPDtL9/x7Eh0dDXt7+zJnIXqd2lg1R/RXG+HeoSeeFhZg9o4V8Fjth/vZGXJHIyKqsnTU3eHEiRM4deoU9PT0VNY3btwYt2/fVutY2dnZKmes4uPjoVAoUK9ePVhZWSEgIAC3b99GZGQkAMDNzQ0+Pj5YvXo1nJ2dkZKSAl9fX3Ts2BEWFhYAgNmzZ6Nz586wtbVFRkYGgoODkZCQgOHDhyv7efDgAW7duoXk5GQAwNWrVwE8O5P13+V5VlZWsLGxAQA0bdpUZdu9e/cAAC1atECdOnUAAKNGjcLKlSsxbdo0eHl5ISYmBlu2bMHevXvVep+IXqfahjWxxvtbdGnWAdN/WoLDl06i55whWO39LTq/2U7ueEREVY7aZ8YKCwtRUFBQZH1SUhJq166t1rHOnj0LOzs72NnZAQAmT54MOzs7zJgxAwCQkpKCW7duKdsPHToUS5YswcqVK/H222/js88+Q7NmzbBjxw5lm/T0dPj4+KBFixZwdXVFVlYWTp06hZYtWyrb7NmzB3Z2dujTpw8A4IsvvoCdnR3WrFmjVv4XsbGxwd69exEdHY22bdti8eLFWL9+PZydncu1H6LyJkkShrzXF/v9N8DW1BopGXfRb+lYLNsfwcuWRETlTBJq/o69f//+MDY2xnfffYfatWvj4sWLaNiwIdzd3WFlZaW8jEflIysrC8bGxsjMzOT8MZJFzuNcfPljMLb9bz8AoGvLTlgxdCYaGtWTORkRUeWlzve32sVYUlISnJ2dIYTAtWvX0KFDB1y7dg0NGjTA8ePHYWJi8krhSRWLMaoMhBDYfHovvvoxGI+e5MHEqD5Wec9Gl2bvyB2NiKhSqtBiDACePn2KzZs34+LFi8jOzkb79u0xaNCgEn8hSC+PxRhVJleT4+Gz7iv8nRIPLUkLk/t4YZLrMGhracsdjYioUqnwYoxeHxZjVNnk5j9G4ObF+PHUzwAAx2bvYJXXLJgaN5A5GRFR5VHuxdiePXvK3PlHH31U5rb0YizGqLLa9r/9mPbDQuTmPUKD2nUROuwbOLXsJHcsIqJKodyLsefv7SVJUpH7ekmSBADF/tKSXh6LMarMrqcmYMS6QFy+fR2SJGHiB56Y+uFw6GirfdccIqIqRZ3v7zLd2qKwsFC5HDp0CO3atcP+/fuRkZGBjIwM7N+/H+3bt8eBAwfKZQBEpBlszayx98v18Hj/YwghELI/Ap8uHYfk9DtyRyMi0hhqzxl7++23sWbNGnTp0kVl/YkTJzBixAhcuXKlXANWdzwzRppi99nDmLJpHrIf56JeTWMsHzoTPVs7yB2LiEgW5X5m7L/+fWbj84yNjXHz5k11D0dEVYR7h56I/moj2lg1w4OcTAwOnYzZ21fgScFTuaMREVVqahdj7777LiZPnqzyAOy0tDT4+fmhY8eO5RqOiDSLjYklfvZbB+9unwEAVkVHoe+iUUi8nyJzMiKiykvtYiwsLAwpKSmwsrKCra0tbG1tYWVlhdu3b2PDhg0VkZGINIi+rh7m9p+CsJHzYVyjNs7F/4lecz1xQHFc7mhERJXSS91nTAiB6Oho/PXXXwCePRy7Z8+eyl9UUvnhnDHSZLfuJWPk+umIvXkZAODTvT++/mQc9HR0ZU5GRFSxeNPXKoTFGGm6/KdPMG/Xaqw5/AMAoK11C3w3fA6sGzaSORkRUcWp8GLsyJEjOHLkCO7cuYPCwkKVbWFhYeoejkrBYoyqikMXT2Dixm+RnpOF2gY1sWRIINze6S53LCKiClGhv6acNWsWevfujSNHjuDevXtIT09XWYiIitO7zXs4HPg9OjZtg4ePc+Cz7iv4/xiMx0/y5I5GRCQrtc+MmZubY+HChRgyZEhFZaL/4JkxqmqeFDxF8M/rsPzARgDA25Zv4bvhc9DE1ErmZERE5adCz4zl5+fDwYE3ciSil6OrrYOv+o7Gj+NDUL92XfyZ+Dd6zRuKnX8ckjsaEZEs1C7Ghg8fjh9++KEishBRNdKtVWccCYyE/Zt2yMnLxegNMzDl+3nIzX8sdzQiotdK7cuUEydORGRkJNq0aYM2bdpAV1f1J+pLliwp14DVHS9TUlX3tOApluwLx9J9YRBCoLlFU3znMwdvmdvIHY2I6KVV6K8pu3XrVvLBJAkxMTHqHI5egMUYVRcn/voDY8Jm4m7WAxjqGWD+AD/0t+8jdywiopfC+4xVISzGqDq5m3UfY8O+wfG//gAAfN7ZFUED/FBT31DmZERE6qnQCfxERBWloVF9/DghBP4fjYSWpIUtv+/DB0FDceX2dbmjERFVmDKfGfvkk0/KdMAdO3a8UiBSxTNjVF2dvhaL0etnIDXzLgx09TG3/2QMdPyIj10jIo1QIWfGjI2Ny7QQEZUH+zftcHh6JLq16ozHT/IwZVMQxobNRPbjHLmjERGVK84Zq+R4Zoyqu8LCQqyKjkLQ7jUoKCxAExNLfOczF29bviV3NCKiEnHOGBFVGVpaWhjnPAS7pqxGo7qm+OdOIvosGI7wY9vAf0sSUVXAYoyINMK7Tdvg8PRIOLd5D3lP8xGweRF81gUi61G23NGIiF4JizEi0hh1axojYvRCzPp0InS1dfDL+Rj0nOsBRcIVuaMREb00FmNEpFEkScLIngOwe+paWNY3x617yXBb6IN1R37iZUsi0kgsxohII7W3aYXDgZHoY9cVTwqe4uutSzFszZdIz8mUOxoRkVpeqhj7/vvv4ejoCAsLCyQkJAAAQkJCsHv37nINR0RUGuMatbF+RBDmfTEVejq6OHDhOHrO9cS5f/6UOxoRUZmpXYytXr0akydPhqurKzIyMlBQUAAAqFOnDkJCQso7HxFRqSRJglfXT7F32nrYNHwDtx+kwn3RSIQe2oTCwkK54xERvZDaxdiKFSuwbt06BAYGQltbW7m+Q4cOuHTpklrHOn78ONzc3GBhYQFJkrBr164X7hMVFYW2bduiRo0aMDc3h5eXF+7fv6/cHhERAUmSVBYDAwOVY+zYsQO9e/dG/fr1IUkSFApFif0JIeDi4lIk3/379/HBBx/AwsIC+vr6sLS0xLhx45CVlaVsc+zYsSJZJElCampqmd8jIiqb1lbNcOirjejboReeFhbg2x0rMWTVVNzPzpA7GhFRqdQuxuLj42FnZ1dkvb6+PnJy1Lszdk5ODtq2bYvQ0NAytT958iQ8PDzg7e2NuLg4bN26FWfOnIGPj49KOyMjI6SkpCiXfy+l/rffLl26YMGCBS/sMyQkpNjHr2hpacHd3R179uzB33//jYiICBw+fBijRo0q0vbq1asqeUxMTMo0XiJST23DmljtPRvBg/xhoKuPI3+eQs85Q/D7NYXc0YiISqSj7g42NjZQKBSwtrZWWX/gwAG0aNFCrWO5uLjAxcWlzO1Pnz6Nxo0bY8KECcosI0eOLFJUSZIEMzOzEo8zZMgQAMDNmzdL7U+hUGDx4sU4e/YszM3NVbbVrVsXo0ePVr62trbGmDFjEBwcXOQ4JiYmqFOnTql9/SsvLw95eXnK1/8900ZELyZJEoa81xfv2LTCiHXTcT0tAf2WjsU0Nx+Md/aAlhZ/t0RElYva/1WaPHkyxo4di59+evYz8jNnzmDu3LkICAjAtGnTKiKjkr29PRITE7Fv3z4IIZCWloZt27bB1dVVpV12djasra1haWkJd3d3xMXFqd1Xbm4uBg4ciNDQ0FILu38lJydjx44dcHJyKrKtXbt2MDc3R69evXDy5MlSjxMUFKTyrE9LS0u1sxMR0PKNN3EwIByfdnJBQWEBgnavwYAVvribdf/FOxMRvU7iJWzatEnY2toKSZKEJEmiUaNGYv369S9zKCUAYufOnS9st2XLFlGrVi2ho6MjAAg3NzeRn5+v3H7q1CmxceNGERsbK44dOyY+/PBDYWRkJBITE4scKz4+XgAQsbGxRbaNGDFCeHt7vzDfF198IQwNDZVZHj16pNz2119/iTVr1oizZ8+KkydPimHDhgkdHR1x7ty5Esf3+PFjkZmZqVwSExMFAJGZmfnC94aIivfjyZ9F4/FOwnRkJ9Haz1WcuPKH3JGIqIrLzMws8/f3SxVj/8rJyRFpaWmvcoj/H6QMxVhcXJwwNzcXCxcuFBcuXBAHDhwQrVu3Fl5eXiXuk5+fL5o2bSqmT59eZFtJxdju3buFra2tePjw4QvzpaSkiCtXrojdu3eLli1bitGjR5c6hvfff18MHjy41Db/pc6HSUQl++v2P+L9WQOE6chOwmxUZ7Fwz3fiacFTuWMRURWlzve32pcp58yZg/j4eABAjRo1Xutk9KCgIDg6OsLPzw9t2rSBs7MzVq1ahbCwMKSkpBS7j66uLuzs7HD9+vUy9xMTE4MbN26gTp060NHRgY7Os6l1/fr1Q9euXVXampmZoXnz5vjoo4+wdu1arF69usQsANCxY0e1shBR+WhmYYP9/mEY6OgGIQQW792Az5dNQFrmPbmjEVE1p3YxtnXrVtja2sLBwQGrVq3CvXuv7z9kubm5RSbf/nt7DVHCY1AKCgpw6dKlIhPwS+Pv74+LFy9CoVAoFwBYunQpwsPDS9zv33sa/XcC/vMUCoVaWYio/NTQM8CSIYEIHfYNaugb4uTVc+g+ZwiOXf6f3NGIqBpT+9eUFy5cQFxcHKKiorBo0SL4+vqiV69eGDRoEPr27YsaNWqU+VjZ2dkqZ4ni4+OhUChQr149WFlZISAgALdv30ZkZCQAwM3NDT4+Pli9ejWcnZ2RkpICX19fdOzYERYWFgCA2bNno3PnzrC1tUVGRgaCg4ORkJCA4cOHK/t58OABbt26heTkZADPbj0BPDvL9d/leVZWVrCxsQEA7Nu3D2lpaXj33XdRq1YtxMXFwc/PD46OjmjcuDGAZ7fFsLGxQatWrfD48WOsX78eMTExOHTokBrvOBGVt36dPkC7xi0xYl0g4pKuYcAKX0xw9oCfmw90tNX+zyIR0at51Wuiv/32mxgzZoxo2LChqF27tlr7Hj16VAAosnh6egohhPD09BROTk4q+yxfvly0bNlSGBoaCnNzczFo0CCRlJSk3O7r6yusrKyEnp6eMDU1Fa6uruL8+fMqxwgPDy+235kzZ5aYFc/NGYuJiRH29vbC2NhYGBgYiDfffFN8+eWXIj09XdlmwYIFomnTpsLAwEDUq1dPdO3aVcTExKj1HnHOGFHFeZT/WEyLWiBMR3YSpiM7iY+CR4jbD8pnHiwRVW/qfH9LQpRwfa+MFAoFNm3ahM2bN+P+/ft49OjRqxyOnpOVlQVjY2NkZmbCyMhI7jhEVdLus4cxZdM8ZD/ORb2axlg+dCZ6tnaQOxYRaTB1vr9f6u6H8fHxmDt3Llq1aoUOHTogNjYWs2bN4mN+iEgjuXfoicOBkWhj1RwPcjIxOHQyZm9fgScFT+WORkTVgNpnxjp37ow//vgDbdq0waBBgzBgwAA0atSoovJVezwzRvT65D3Jx7c7VmL90S0AgHds3saa4d/Csj5/dENE6qnQM2M9evTApUuXEBsbi6lTp7IQI6IqQ19XD3P6T0b4qAUwrlEb5+L/RM+5Htiv+FXuaERUhb3ynDGqWDwzRiSPW/eSMWrD1zgf/+xxaj7d++PrT8ZBT0dX5mREpAnU+f4uUzE2efJkfPvtt6hZsyYmT55catslS5aol5ZKxWKMSD75T59g3q7VWHP4BwBAW+sW+G74HFg35BUBIiqdOt/fZbqhTmxsLJ48eaL830RE1YGeji6++XQCHN5qj4kbZ+NCwhX0nOuBJUMC4fZOd7njEVEVwcuUlRzPjBFVDrcfpGH0hq9x5sZFAIDn+59g1mcTYaCrL3MyIqqMKnQCv5eXFx4+fFhkfU5ODry8vNQ9HBGRRmhUzxQ7Jq/ChA88AQAbj+9AnwXDcSPtlszJiEjTqX1mTFtbGykpKUUeEH7v3j2YmZnh6VPel6c88cwYUeVzNO53jIuYhfsP01FTvwaCB32JTzo6yx2LiCqRCjkzlpWVhczMTAgh8PDhQ2RlZSmX9PR07Nu3r0iBRkRUFXVr1RlHAiPh8FZ75OTlYkzYTEz5fh5y8x/LHY2INFCZz4xpaWlBkqSSDyRJmDVrFgIDA8stHPHMGFFlVlBYgMV7w7B0XxiEEGhu0RTf+czBW+Y2ckcjIpmV+60tAODXX3+FEALdu3fH9u3bUa9ePeU2PT09WFtbw8LC4tWSUxEsxogqv9/+OosxYTNxJ+s+DPUMMH+AH/rb95E7FhHJqEKKsX8lJCTAysqq1LNkVH5YjBFphrtZ9zE27Bsc/+sPAMBnnV0xf4AfauobypyMiORQob+mjImJwbZt24qs37p1KzZu3Kju4YiIqoSGRvWxecIy+H80ElqSFrb+vg8fBA3FldvX5Y5GRJWc2sVYUFAQGjRoUGS9iYkJ5s2bVy6hiIg0kZaWFnxdh2HH5FUwr9MQ11IT4DLfG1G/7QZv6UhEJVG7GLt16xZsbIpOTrW2tsatW7zfDhFR5zfb4fD079G9lT0eP8nDlE1BGBM2E9mPc+SORkSVkNrFmImJCS5evFhk/YULF1C/fv1yCUVEpOnq16qDTWMX4+tPxkFbSxs7/ziEXnM9cenWVbmjEVElo3YxNmDAAEyYMAFHjx5FQUEBCgoKEBMTg4kTJ+KLL76oiIxERBpJS0sLY3sPxu6pa9Conhni7yahz8LhCD+2jZctiUhJ7V9T5ufnY8iQIdi6dSt0dJ49Z7ywsBAeHh5Ys2YN9PT0KiRodcVfUxJVDek5mfDdOAcHL54AAHzYvjumufngTtYDNDGxhEVd3jSbqCqp0Ftb/Ovvv//GhQsXYGhoiNatW8Pa2vqlwlLpWIwRVR1CCKyP2YLZO1bgScH/f3SclqSFRYP9MdDxIxnTEVF5ei3FWH5+PuLj49G0aVPlGTIqfyzGiKqeQxd/g8eqqSrrtLW08MfcXTxDRlRFVOh9xnJzc+Ht7Y0aNWqgVatWyl9Qjh8/HvPnz3+5xERE1UiNYm4EW1BYiEu3/pIhDRHJTe1iLCAgABcuXMCxY8dgYGCgXN+zZ0/89NNP5RqOiKgqamJiCS2p6H9+v/wxGGf/uSRDIiKSk9rF2K5du7By5Up06dJF5ZFIrVq1wo0bN8o1HBFRVWRR1wSLBvtDW+vZf4K1JC00qFUXqRl34b5oFFYe/B6FhYUypySi10XtyV53796FiUnROQ05OTl8XiURURkNdPwIXVt2RvydRNiYWMLIsCb8ohZg5x+HMGdnKE79fR7Lh85Ag9p15Y5KRBVM7TNjHTp0wN69e5Wv/y3A1q9fD3t7+/JLRkRUxVnUNYFjs3dgUdcEtQxqYpXXLCweHAADXX3ExJ1GzzkeOH0tVu6YRFTB1D4zNm/ePLi4uODy5ct4+vQpli1bhsuXL+PUqVP49ddfKyIjEVG1IEkSBnVxR3ubVhixLhDXUhPQb8lY+LkNx4QPPKGtpS13RCKqAGqfGevSpQsUCgWePn2K1q1b49ChQzAxMcHp06fxzjvvVERGIqJqpUUjWxwIiMDnnV1RKAqxYM93GLDcF3ez7ssdjYgqQJnuMzZ58mR8++23qFmzJo4fPw4HBwfeW+w14X3GiKq3n07vhf+PwXiU/xgNjephldcsvNf8XbljEdELlPtNX3V1dZGUlARTU1Noa2sjJSWl2En8VP5YjBHR3ynxGLFuOv5KvgFJkjDJ1QtT+njxsiVRJVbuN31t3Lgxli9fjl9//RVCCJw+fRrHjx8vdlHH8ePH4ebmBgsLC0iShF27dr1wn6ioKLRt2xY1atSAubk5vLy8cP/+/z91HxERAUmSVJb/3g8NAHbs2IHevXujfv36kCQJCoWixP6EEHBxcSmS7/79+/jggw9gYWEBfX19WFpaYty4ccjKylLZ/9ixY2jfvj309fVha2uLiIiIsrw1RERKb5nbYL//Bgzu4g4hBJbs3YBPl45DasZduaMRUTkoUzEWHByMDRs2oFu3bpAkCR9//DG6du1aZOnWrZtanefk5KBt27YIDQ0tU/uTJ0/Cw8MD3t7eiIuLw9atW3HmzBn4+PiotDMyMkJKSopySUhIKNJvly5dsGDBghf2GRISUuwtO7S0tODu7o49e/bg77//RkREBA4fPoxRo0Yp28THx6NPnz7o1q0bFAoFfH19MXz4cBw8eLBM4yUi+pehngEWDQ7Aau/ZqKlfA6evxaL7nCGIiTstdzQielVCDQ8fPhSSJIm///5bZGRkFLu8LABi586dpbYJDg4WTZo0UVm3fPly0ahRI+Xr8PBwYWxsXKY+4+PjBQARGxtb7PbY2FjRqFEjkZKSUqZ8y5YtE2+88Yby9bRp00SrVq1U2vTv3184OzuXKZ8QQmRmZgoAIjMzs8z7EFHVdiM1QfSYM0SYjuwkTEd2EnN2hIr8p0/kjkVE/6HO93eZzoxNnjwZOTk5qFWrFo4ePQobGxsYGxsXu1Qke3t7JCYmYt++fRBCIC0tDdu2bYOrq6tKu+zsbFhbW8PS0hLu7u6Ii4tTu6/c3FwMHDgQoaGhMDMze2H75ORk7NixA05OTsp1p0+fRs+ePVXaOTs74/Tpkv8lm5eXh6ysLJWFiOi/mpha4Zdp6zDM6VMAwIqDkfhk8WjcfpAmczIiehllKsZWrFiB7OxsAED37t3x4MGDCg1VEkdHR0RFRaF///7Q09ODmZkZjI2NVS5zNmvWDGFhYdi9ezc2bdqEwsJCODg4ICkpSa2+Jk2aBAcHB7i7u5fabsCAAahRowYaNWoEIyMjrF+/XrktNTUVpqamKu1NTU2RlZWFR48eFXu8oKAgleLW0tJSrdxEVD0Y6OojaMBUrB8xD0aGtfDHP5fQc+4QHLp4Qu5oRKQmWSfwq+vy5cuYOHEiZsyYgXPnzuHAgQO4efOmyjwte3t7eHh4oF27dnBycsKOHTvQsGFDrF27tsz97NmzBzExMQgJCXlh26VLl+L8+fPYvXs3bty4gcmTJ7/M0JQCAgKQmZmpXBITE1/peERUtX3Yvjuiv9qIdtYtkZ6TBY9Vfpi5bRnynz6ROxoRlVGZbhYWHByMUaNGISgoSDmBvziSJKGgoKBcA/5XUFAQHB0d4efnBwBo06YNatasiffeew9z5syBubl5kX10dXVhZ2eH69evl7mfmJgY3LhxA3Xq1FFZ369fP7z33ns4duyYcp2ZmRnMzMzQvHlz1KtXD++99x6+/vprmJubw8zMDGlpqpcN0tLSYGRkBENDw2L71tfXh76+fpmzEhFZN2yEPX5rMXdnKNYe2Yy1h3/EmesXsGb4HFg3sJA7HhG9QJnOjPXt2xepqanIysqCEAJXr15Fenp6kaWiL1/m5uZCS0s1srb2s/vsiBJul1ZQUIBLly4VW6iVxN/fHxcvXoRCoVAuwLOzYOHh4SXuV1hYCODZvC/g2Vm6I0eOqLSJjo7mMzyJqNzp6ehi1me+2Dh6IerUMELszcvoNdcDe2OPyh2NiF5Ardvo/3cCf3ncgT87O1vljFV8fDwUCgXq1asHKysrBAQE4Pbt24iMjAQAuLm5wcfHB6tXr4azszNSUlLg6+uLjh07wsLi2b/+Zs+ejc6dO8PW1hYZGRkIDg5GQkIChg8fruznwYMHuHXrFpKTkwEAV69eBfD/z3L9uzzPysoKNjY2AIB9+/YhLS0N7777LmrVqoW4uDj4+fnB0dERjRs3BgCMGjUKK1euxLRp0+Dl5YWYmBhs2bJF5UHrRETlybnt+zg8PRKj1n+Ns/9cgvfaAHh1/RQz+o2HgS7PuhNVSmX9ieZPP/0k8vLylK8TExNFQUGB8nVOTo5YsGCBGj/6FOLo0aMCQJHF09NTCCGEp6encHJyUtln+fLlomXLlsLQ0FCYm5uLQYMGiaSkJOV2X19fYWVlJfT09ISpqalwdXUV58+fVzlGeHh4sf3OnDmzxKx47tYWMTExwt7eXhgbGwsDAwPx5ptvii+//FKkp6cXGWO7du2Enp6eaNKkiQgPD1frPeKtLYjoZeQ/fSJmb1+hvP1FzzlDxD9pt+SORVRtqPP9XabHIQEo8hgkIyMjKBQKNGnSBMCzuVAWFhYVOmesOuLjkIjoVRz58xTGR8zGg+wM1DKogUWDAtD33V5yxyKq8sr9cUhA0TlZZazhiIhIRj3edsCRwEh0tm2H7Me5GLXha/hFzcej/MdyRyOi/1PmYoyIiDSTeV0TbJu0EpNch0GSJHx/YhdcF3jjWupNuaMREViMERFVCzraOvjyo5H4acIyNDSqhyu3b6D3vKHY8vs+uaMRVXtq/STy4MGDykceFRYW4siRI/jzzz8BABkZGeUejoiIytf7LTriSOD3GBM2E79dPYsJEbNx8uo5zPtiKmrqF3//QyKqWGWewP/8/b2KPVgF3/S1OuIEfiKqCAWFBVi2fyMW/bIehaIQb5o1xnc+c9GiUVO5oxFVCRUygb+wsPCFCwsxIiLNoK2ljcl9vLBt0kqYGTfEtdSbcJnvhajfdvMHWkSvGeeMERFVYw5vtcfh6ZHo1qozHj/Jw5RNQRgbNhPZj3PkjkZUbbAYIyKq5hrUrouosUsQ+PEYaGtpY8cfh9B73lD8mfi33NGIqgUWY0REBC0tLYx39sCuKavRqK4p/rmTiD4LhiP82DZetiSqYCzGiIhI6d2mbRAdGInebbog72k+AjYvgs+6QGQ9ypY7GlGVxWKMiIhU1KtljI2jgzHr04nQ1dbBL+dj0HOuB2JvXpY7GlGVxGKMiIiKkCQJI3sOwO6pa2FZ3xy37iXjo+AR+O7IZl62JCpnZbrPWN26dSFJUpkO+ODBg1cORf8f7zNGRHLLzH2Iyd/Pxd7YYwAA5zbvIcRzOurWNJY3GFElps73d5mKsY0bN5a5c09PzzK3pRdjMUZElYEQAuG/bsc325Yh/+kTNKpnhrXDv0WHJq3ljkZUKZV7MUbyYTFGRJXJpVtXMWJdIOLvJkFbSxsB7qMwptegMj2lhag6qZA78Bfn8ePHyMrKUlmIiKjqam3VDIe+2oi+HXqhoLAAc3aGYnDoFNx7mC53NCKNpXYxlpOTg3HjxsHExAQ1a9ZE3bp1VRYiIqraahvWxGrv2Vg0yB8GuvqIiTuNnnM8cPparNzRiDSS2sXYtGnTEBMTg9WrV0NfXx/r16/HrFmzYGFhgcjIyIrISERElYwkSRj8Xl/s99+AN82skZp5F/2WjMXSfWEoKORzionUofacMSsrK0RGRqJr164wMjLC+fPnYWtri++//x4//vgj9u3bV1FZqyXOGSOiyi7ncS78Ny/C1t+f/ff//ebvItTrGzQ0qi9vMCIZVeicsQcPHqBJkyYAACMjI+WtLLp06YLjx4+/RFwiItJkNQ1qYMXQGVjm+TUM9Qxw/K8/0H3OEJz46w+5oxFpBLWLsSZNmiA+Ph4A0Lx5c2zZsgUA8PPPP6NOnTrlGo6IiDRHf/s+OOAfjuYWTXE36wE+XzYBC39ex8uWRC+gdjE2bNgwXLhwAQDg7++P0NBQGBgYYNKkSfDz8yv3gEREpDmaWdhgn/8GDHL8CEIILNm7AZ8uHYfUjLtyRyOqtF75PmMJCQk4d+4cbG1t0aZNm/LKRf+Hc8aISFPtOHMQflELkJOXi3q16mDlsJno3spe7lhErwVv+lqFsBgjIk12I+0WRq6fjj8T/wYAjHf2wLSPRkBXW0fmZEQVq0In8E+YMAHLly8vsn7lypXw9fVV93BERFSFNTW1wi/T1mGoUz8AwIqDkfhk8WjcfpAmczKiykPtYmz79u1wdHQsst7BwQHbtm0rl1BERFR1GOjqY/4AP6zzmYfaBjXxxz+X0HPuEBy6eELuaESVgtrF2P3792FsbFxkvZGREe7du1cuoYiIqOpxe6c7DgdGoq11C6TnZMFjlR9m/t+Dx4mqM7WLMVtbWxw4cKDI+v379yvvP0ZERFQc64aNsGfqWozo/gUAYO3hH+G+aCQS7iXLnIxIPmrPoJw8eTLGjRuHu3fvonv37gCAI0eOYPHixQgJCSnvfEREVMXo6+ph9ue+cHirPSZGfovYm5fRa64HlnoEoo9dN7njEb12L/VrytWrV2Pu3LlITn72L5nGjRvjm2++gYeHR7kHrO74a0oiqsoS76dg1PqvcS7+TwCAV9dPMaPfeBjo6sucjOjVVOivKQFg9OjRSEpKQlpaGrKysvDPP/+8VCF2/PhxuLm5wcLCApIkYdeuXS/cJyoqCm3btkWNGjVgbm4OLy8v3L9/X7k9IiICkiSpLAYGBirH2LFjB3r37o369etDkiQoFIoS+xNCwMXFpUi+CxcuYMCAAbC0tIShoSFatGiBZcuWqex77NixIlkkSUJqamqZ3h8ioqrOsr45dk1dg7G9BwMAwo5tg9tCH8TfSZQ5GdHr81LF2L8aNmyIWrVqvfT+OTk5aNu2LUJDQ8vU/uTJk/Dw8IC3tzfi4uKwdetWnDlzBj4+PirtjIyMkJKSolwSEhKK9NulSxcsWLDghX2GhIRAkqQi68+dOwcTExNs2rQJcXFxCAwMREBAAFauXFmk7dWrV1XymJiYlGm8RETVga62Dr7+ZBw2jV2CejWNcSnxb/Sa54ldZ6Pljkb0WpRpzlj79u1x5MgR1K1bF3Z2dsUWJ/86f/58mTt3cXGBi4tLmdufPn0ajRs3xoQJEwAANjY2GDlyZJGiSpIkmJmZlXicIUOGAABu3rxZan8KhQKLFy/G2bNnYW5urrLNy8tL5XWTJk1w+vRp7NixA+PGjVPZZmJiwud2EhG9QM/WDjg8/XuM2TADv19XYNT6r3Hy6jnM/swXhnoGLz4AkYYqUzHm7u4OfX195f8urRirSPb29vjqq6+wb98+uLi44M6dO9i2bRtcXV1V2mVnZ8Pa2hqFhYVo37495s2bh1atWqnVV25uLgYOHIjQ0NBSC7v/yszMRL169Yqsb9euHfLy8vD222/jm2++KfY+bf/Ky8tDXl6e8nVWVpZauYmINJlFXRNsm7QSi/duQMj+CHx/YhfO/nMJ3/nMxZtmjeWOR1QxRCUBQOzcufOF7bZs2SJq1aoldHR0BADh5uYm8vPzldtPnTolNm7cKGJjY8WxY8fEhx9+KIyMjERiYmKRY8XHxwsAIjY2tsi2ESNGCG9v7zLnO3nypNDR0REHDx5Urvvrr7/EmjVrxNmzZ8XJkyfFsGHDhI6Ojjh37lyJx5k5c6YAUGTJzMx8wTtDRFS1HIv7XbSa+oEwHdlJ2EzoKrac3id3JKIyy8zMLPP3t9rFmI2Njbh3716R9enp6cLGxkbdw/3/IGUoxuLi4oS5ublYuHChuHDhgjhw4IBo3bq18PLyKnGf/Px80bRpUzF9+vQi20oqxnbv3i1sbW3Fw4cPy5Tv0qVLokGDBuLbb78tNb8QQrz//vti8ODBJW5//PixyMzMVC6JiYksxoio2krNuCv6LRkrTEd2EqYjO4kJEbNF9uNcuWMRvZA6xZjaE/hv3ryJgoKCIuvz8vKQlJT0cqfnyigoKAiOjo7w8/NDmzZt4OzsjFWrViEsLAwpKSnF7qOrqws7Oztcv369zP3ExMTgxo0bqFOnDnR0dKCj8+xqbr9+/dC1a1eVtpcvX0aPHj0wYsQITJ8+/YXH7tixY6lZ9PX1YWRkpLIQEVVXpsYN8NPEZfBz84GWpIWfTu+Fy3wv/JX8j9zRiMpNmW/6umfPHuX/PnjwoMojkQoKCnDkyBHY2NiUb7rn5ObmKgujf2lrawN4dguK4hQUFODSpUtF5pWVxt/fH8OHD1dZ17p1ayxduhRubm7KdXFxcejevTs8PT0xd+7cMh1boVAU+TEAERGVTFtLG1P6eKOzbTuMCZuJv1Pi4RI0DHO/mIIBDm6yzWMmKi9lLsb69u0L4NkvFT09PVW26erqonHjxli8eLFanWdnZ6ucJYqPj4dCoUC9evVgZWWFgIAA3L59G5GRkQAANzc3+Pj4YPXq1XB2dkZKSgp8fX3RsWNHWFhYAABmz56Nzp07w9bWFhkZGQgODkZCQoJKcfXgwQPcunVLedPaq1evAgDMzMxUludZWVkpC84///wT3bt3h7OzMyZPnqy8d5i2tjYaNmwI4NltMWxsbNCqVSs8fvwY69evR0xMDA4dOqTW+0RERIBjs3dwODASEyJm4+jl3zH5+3k4efUcFgychloGNeWOR/Ty1L0G2rhxY3H37t2XuXxaxNGjR4udrO7p6SmEEMLT01M4OTmp7LN8+XLRsmVLYWhoKMzNzcWgQYNEUlKScruvr6+wsrISenp6wtTUVLi6uorz58+rHCM8PLzYfmfOnFliVjw3Z6ykifbW1tbKNgsWLBBNmzYVBgYGol69eqJr164iJiZGrfdInWvORETVQUFBgVi+f6OwGO0gTEd2Eg4zPhOXbl2VOxaRCnW+v1/qcUj0+vBxSERExTtz/QJGbfgayel3oK+jh1mfTYTn+5/wsiVVChX+OKQjR47gww8/RNOmTdG0aVN8+OGHOHz48EuFJSIiehkdbdvicOD36NXaEXlP8+H/YzBGrJuOrEfZckcjUovaxdiqVavwwQcfoHbt2pg4cSImTpwIIyMjuLq6lvmxRkREROWhXi1jRI5ZhG8+nQAdLW38fP4Ies31hCLhitzRiMpM7cuUb7zxBvz9/Ys88ic0NBTz5s3D7du3yzVgdcfLlEREZXM+Pg4j109H4v0U6GrrYMYn4zG8++e8bEmyqNDLlBkZGfjggw+KrO/duzcyMzPVPRwREVG5aG/TCocDI9HHriueFDzF11uXYtiaL5Gew+8mqtzULsY++ugj7Ny5s8j63bt348MPPyyXUERERC/DuEZtrB8RhLn9p0BPRxcHLhxHz7meOPfPn3JHIyqR2pcp58yZg0WLFsHR0RH29vYAgN9//x0nT57ElClTVE7FTZgwoXzTVkO8TElE9HIu3voLI9ZNx827SdDR0kZA39EY3XMgtLRe6rdrRGpR5/tb7WKsrHfZlyQJ//zDx1W8KhZjREQv7+GjHEyNCsLus89+8d/jbQcsHzoD9WvVkTcYVXkVWozR68VijIjo1QghsOm33fh6y1I8fpIH8zoNsdr7W3R+s53c0agKq/D7jAHAvXv3cO/evZfdnYiI6LWQJAlD3uuLfV+uh62pNVIy7uKTJWMQsi8chYWFcscjUq8Yy8jIwNixY9GgQQOYmprC1NQUDRo0wLhx45CRkVFBEYmIiF5dyzfexMGAcHzayQWFohDz96zFgBW+uJt1X+5oVM2V+TLlgwcPYG9vj9u3b2PQoEFo0aIFAODy5cv44YcfYGlpiVOnTqFu3boVGri64WVKIqLyt/nULwjYvAiP8h/DxKg+VnnNQpfmHeSORVVIhcwZ8/X1xZEjR3D48GGYmpqqbEtNTUXv3r3Ro0cPLF269OWTUxEsxoiIKsbV5HiMWB+Iq8n/QJIkTHL1wpQ+XtDW0pY7GlUBFTJnbNeuXVi0aFGRQgwAzMzMsHDhwmLvP0ZERFQZNbOwwX7/MAx0dIMQAkv2bsBnIeORmnFX7mhUzZS5GEtJSUGrVq1K3P72228jNTW1XEIRERG9DjX0DLBkSCBCh32DGvqGOPX3efSY64Gjcb/LHY2qkTIXYw0aNMDNmzdL3B4fH4969eqVRyYiIqLXql+nDxD91Ua0euNN3H+YjgErfDF35yo8LXgqdzSqBspcjDk7OyMwMBD5+flFtuXl5eHrr78u9pmVREREmqCpqRX2frkenu9/AgBYcTASnywZg9sP0mRORlVdmSfwJyUloUOHDtDX18fYsWPRvHlzCCFw5coVrFq1Cnl5eTh79iwsLS0rOnO1wgn8RESv3+6zhzF1UxAePs5B3ZpGWOY5A73bdJE7FmmQCrsDf3x8PMaMGYNDhw7h390kSUKvXr2wcuVK2NravlpyKoLFGBGRPG7eTcKIddNx8dZfAICRPQcgsO8Y6OnoypyMNEGFPw4pPT0d165dAwDY2tpyrlgFYjFGRCSfvCf5mLMzFOtifgIA2DVuiTXD58C6gYXMyaiy47MpqxAWY0RE8tuv+BW+kXOQmfsQRoa1sNQjEH3suskdiyqx1/JsSiIiourCpZ0TDgdG4h2bt5H1KBveawPw1eZFuHknCb9dPYfk9DtyRyQNxjNjlRzPjBERVR5PCp4iaNdqrIqOUlmvJWlh0WB/DHT8SKZkVNnwzBgREVEF0NXWwYx+47HM82uV9YWiEH5R83mGjF4KizEiIiI1NapnVmRdQWEhribfkCENaToWY0RERGpqYmIJLanoV+iMrctwPTVBhkSkyViMERERqcmirgkWDfaHttazr1EtSUJN/Rq4lnoTvYOGYtv/9suckDQJJ/BXcpzAT0RUeSWn30H8nUTYmFhCW0sLY8Jm4uTVcwCALxw+xLwvpqKGnoHMKUkOvM9YFcJijIhIcxQUFmDpvnAs3rsBQgi8ZW6D73zmorlFE7mj0WvGX1MSERHJQFtLG1M/HI6tvithYlQff6fEwyVoGH489Qt47oNKwmKMiIionHVp9g6OTI+EU4uOePQkD5Mi52B8xCzkPM6VOxpVQizGiIiIKkBDo/r4cXwIAtxHQUvSwrb/HYBz0DBcTromdzSqZGQtxo4fPw43NzdYWFhAkiTs2rXrhftERUWhbdu2qFGjBszNzeHl5YX79+8rt0dERECSJJXFwEB18uSOHTvQu3dv1K9fH5IkQaFQlNifEAIuLi5F8l24cAEDBgyApaUlDA0N0aJFCyxbtqzI/seOHUP79u2hr68PW1tbREREvHCMRERUNWhpaWGiy1DsmLwK5nUa4npaAlzme+P7E7t42ZKUZC3GcnJy0LZtW4SGhpap/cmTJ+Hh4QFvb2/ExcVh69atOHPmDHx8fFTaGRkZISUlRbkkJKje8yUnJwddunTBggULXthnSEgIJEkqsv7cuXMwMTHBpk2bEBcXh8DAQAQEBGDlypXKNvHx8ejTpw+6desGhUIBX19fDB8+HAcPHizTeImIqGro/GY7HJ7+Pbq3skfe03z4Rc3H6A0z8PBRjtzRqDIQlQQAsXPnzlLbBAcHiyZNmqisW758uWjUqJHydXh4uDA2Ni5Tn/Hx8QKAiI2NLXZ7bGysaNSokUhJSSlTvjFjxohu3bopX0+bNk20atVKpU3//v2Fs7Nzicd4/PixyMzMVC6JiYkCgMjMzCzTmIiIqPIqKCgQKw9+LyxGOwjTkZ1E5+n9xIWEK3LHogqQmZlZ5u9vjZozZm9vj8TEROzbtw9CCKSlpWHbtm1wdXVVaZednQ1ra2tYWlrC3d0dcXFxaveVm5uLgQMHIjQ0FGZmRR97UZzMzEzUq1dP+fr06dPo2bOnShtnZ2ecPn26xGMEBQXB2NhYuVhaWqqdnYiIKictLS2M7T0Yu6euQaN6Zoi/m4QPF/pgw9GtvGxZjWlUMebo6IioqCj0798fenp6MDMzg7GxscplzmbNmiEsLAy7d+/Gpk2bUFhYCAcHByQlJanV16RJk+Dg4AB3d/cytT916hR++uknjBgxQrkuNTUVpqamKu1MTU2RlZWFR48eFXucgIAAZGZmKpfExES1chMRUeXXoUlrHA7cCOc27yH/6RME/rQYw7/7Cpm5D+WORjLQqGLs8uXLmDhxImbMmIFz587hwIEDuHnzJkaNGqVsY29vDw8PD7Rr1w5OTk7YsWMHGjZsiLVr15a5nz179iAmJgYhISFlav/nn3/C3d0dM2fORO/evdUdlgp9fX0YGRmpLEREVPXUrWmMiNELMfszX+hq62Bv7FH0nOuB8/HqX80hzaZRxVhQUBAcHR3h5+eHNm3awNnZGatWrUJYWBhSUlKK3UdXVxd2dna4fv16mfuJiYnBjRs3UKdOHejo6EBHRwcA0K9fP3Tt2lWl7eXLl9GjRw+MGDEC06dPV9lmZmaGtLQ0lXVpaWkwMjKCoaFhmfMQEVHVJEkSRvT4Anv8voNVAwsk3k+B+6KRWHv4R162rEY0qhjLzc2FlpZqZG1tbQAo8f+0BQUFuHTpEszNzcvcj7+/Py5evAiFQqFcAGDp0qUIDw9XtouLi0O3bt3g6emJuXPnFjmOvb09jhw5orIuOjoa9vb2Zc5CRERVn13jloj+aiP62HXDk4KnmLltGYaunob0nEy5o9FroCNn59nZ2SpnrOLj46FQKFCvXj1YWVkhICAAt2/fRmRkJADAzc0NPj4+WL16NZydnZGSkgJfX1907NgRFhYWAIDZs2ejc+fOsLW1RUZGBoKDg5GQkIDhw4cr+3nw4AFu3bqF5ORkAMDVq1cBPDuT9d/leVZWVrCxsQHw7NJk9+7d4ezsjMmTJyM1NRXAs+KwYcOGAIBRo0Zh5cqVmDZtGry8vBATE4MtW7Zg79695f1WEhGRhjOuURvrR8xD+K/b8c22ZTh48QR6zvHAWp856NCktdzxqCJV8C87S3X06FEBoMji6ekphBDC09NTODk5qeyzfPly0bJlS2FoaCjMzc3FoEGDRFJSknK7r6+vsLKyEnp6esLU1FS4urqK8+fPqxwjPDy82H5nzpxZYlY8d2uLmTNnFnsMa2vrImNs166d0NPTE02aNBHh4eFqvUfq/DSWiIiqhosJf4nO0/sJ05GdhMVoB7HiQKQoKCiQOxapQZ3vb0kIXpSuzNR56jsREVUdDx/lwC9qPnadjQYAdG9lj+VDZ6BB7boyJ6OyUOf7W6PmjBEREVUXtQ1rYrX3bAQP8oeBrj5i4k6j5xwP/H5NIXc0KmcsxoiIiCopSZIw5L2+2PfletiaWiM18y4+WTIGIfvCUVhYKHc8KicsxoiIiCq5lm+8iYMB4fi0kwsKRSHm71mLASt8cTfrvtzRqBywGCMiItIANQ1qYMXQGVjqMR2Guvr49coZ9Jjjgd/+Oit3NHpFLMaIiIg0hCRJGODwIQ4ERKCZRRPcybqPz5aNR/DP61BQWCB3PHpJLMaIiIg0TDMLG+z3D8MABzcIIbB47wZ8FjIeaZn35I5GL4HFGBERkQaqoWeApR6BWDlsJmroG+LU3+fRfc4QHLv8P7mjkZpYjBEREWmwTzu54FBABFo2ssX9h+kYsMIXQbtW42nBU7mjURmxGCMiItJwtmbW2Pvleni8/zGEEFh2YCP6LR2L5PQ7ckejMmAxRkREVAUY6hlg4cAvsWb4t6hlUAP/u34BPecMweFLp+SORi/AYoyIiKgK6duhF6K/2og2Vs3wICcTg0MnY/b2FXjCy5aVFosxIiKiKsbGxBI/+62Dd7fPAACroqPQd9EoJN5PkTkZFYfFGBERURWkr6uHuf2nYMPIIBgZ1sK5+D/Ra64nDiiOyx2NnsNijIiIqArrY9cN0YGRaGfdEhm5WRi6Zhq+3rIU+U+fyB2N/g+LMSIioirOuoEF9vitxcieAwAA62J+glvwCCTcvS1zMgJYjBEREVULejq6mPXpRESOCUadGka4kHAFPed64OdzMXJHq/ZYjBEREVUjvdu8h8PTI/Fuk9Z4+DgHPuu+gv+PwXj8JE/uaNUWizEiIqJq5o16ZtgxZTXGOQ8BAET8uh1uC33wT9otmZNVTyzGiIiIqiFdbR1M/3gsosYtQb1adXAp8W/0mjcUu/6IljtatcNijIiIqBrr8bYDjgRGorNtO+Tk5WLUhq/hFzUfj/Ifyx2t2mAxRkREVM2Z1zXBtkkrMcl1GCRJwvcndsF1gTeupd6UO1q1wGKMiIiIoKOtgy8/GomfJixDg9p1ceX2DfSeNxRbft8nd7Qqj8UYERERKb3foiOOTP8eXZp1wKP8x5gQMRsTN36LnLxHckersliMERERkQpT4wb4aeIy+Ln5QEvSwk+n98Jlvhf+Sv5H7mhVEosxIiIiKkJbSxtT+nhjq+8KmBo3wN8p8XAJGoYfTv4MIYTc8aoUFmNERERUIsdm7+BwYCS6tuyER0/yMPn7uRgX/g2yH+fIHa3KYDFGREREpWpoVA8/jFuKwL5joK2lje1nDsI5aBjikq7JHa1KYDFGREREL6SlpYXxH3hgx+RQWNQ1wY20W3Cd743I4zt52fIVsRgjIiKiMutk2w7RgZHo2doReU/zMe2HBRi5fjoePuJly5fFYoyIiIjUUr9WHUSODsaMT8ZDR0sbe84dQa95nriQ8Jfc0TSSrMXY8ePH4ebmBgsLC0iShF27dr1wn6ioKLRt2xY1atSAubk5vLy8cP/+feX2iIgISJKkshgYGKgcY8eOHejduzfq168PSZKgUChK7E8IARcXl2LzTZgwAe+88w709fXRrl27IvvevHmzSBZJkvD777+/cJxERESVmZaWFsb0HoTdU9fijXpmuHk3CW7BPlh/dAsvW6pJ1mIsJycHbdu2RWhoaJnanzx5Eh4eHvD29kZcXBy2bt2KM2fOwMfHR6WdkZERUlJSlEtCQkKRfrt06YIFCxa8sM+QkBBIklTidi8vL/Tv37/UYxw+fFglzzvvvPPCfomIiDTBO03exuHASLi0dUL+0yeY/tMSDP8uAJm5D+WOpjF05OzcxcUFLi4uZW5/+vRpNG7cGBMmTAAA2NjYYOTIkUWKKkmSYGZmVuJxhgwZAuDZmavSKBQKLF68GGfPnoW5uXmR7cuXLwcA3L17FxcvXizxOPXr1y81DxERkSarU9MIYaPmY8PRLZi1fQX2xh7DxVtXsXb4HLS3aSV3vEpPo+aM2dvbIzExEfv27YMQAmlpadi2bRtcXV1V2mVnZ8Pa2hqWlpZwd3dHXFyc2n3l5uZi4MCBCA0NfeVC6qOPPoKJiQm6dOmCPXv2lNo2Ly8PWVlZKgsREVFlJ0kShnfvj5+nrYN1g0ZIvJ+Cj4JHYM3hH3jZ8gU0qhhzdHREVFQU+vfvDz09PZiZmcHY2FjlMmezZs0QFhaG3bt3Y9OmTSgsLISDgwOSkpLU6mvSpElwcHCAu7v7S+etVasWFi9ejK1bt2Lv3r3o0qUL+vbtW2pBFhQUBGNjY+ViaWn50v0TERG9bu2sWyA6cCM+bN8dTwsL8M225fBc7Yf0nEy5o1VaGlWMXb58GRMnTsSMGTNw7tw5HDhwADdv3sSoUaOUbezt7eHh4YF27drByckJO3bsQMOGDbF27doy97Nnzx7ExMQgJCTklfI2aNAAkydPRqdOnfDuu+9i/vz5GDx4MIKDg0vcJyAgAJmZmcolMTHxlTIQERG9bkaGtbDOZy7mD/CDvo4eDl38DT3neOCPGyVP6anONKoYCwoKgqOjI/z8/NCmTRs4Oztj1apVCAsLQ0pKSrH76Orqws7ODtevXy9zPzExMbhx4wbq1KkDHR0d6Og8m1rXr18/dO3a9ZXG0KlTp1Kz6Ovrw8jISGUhIiLSNJIkYahTP+z9cj2amFjidnoa+i4ejRUHI1FYWCh3vEpFo4qx3NxcaGmpRtbW1gaAEq9HFxQU4NKlS8VOwC+Jv78/Ll68CIVCoVwAYOnSpQgPD3+58P9HoVColYWIiEiTvW35Fg59FYFP3u2NgsICzN25CoNCJ+Pew3S5o1Uasv6aMjs7W+UsUXx8PBQKBerVqwcrKysEBATg9u3biIyMBAC4ubnBx8cHq1evhrOzM1JSUuDr64uOHTvCwsICADB79mx07twZtra2yMjIQHBwMBISEjB8+HBlPw8ePMCtW7eQnJwMALh69SoAwMzMTGV5npWVFWxsbJSvr1+/juzsbKSmpuLRo0fKoq1ly5bQ09PDxo0boaenBzs7OwDP7m8WFhaG9evXl+O7SEREVLnVMqiJUK9ZcGz2DgJ/WoKjcb+j5xwPrB4+G/Zv2skdT35CRkePHhUAiiyenp5CCCE8PT2Fk5OTyj7Lly8XLVu2FIaGhsLc3FwMGjRIJCUlKbf7+voKKysroaenJ0xNTYWrq6s4f/68yjHCw8OL7XfmzJklZgUgdu7cqbLOycmp2OPEx8cLIYSIiIgQLVq0EDVq1BBGRkaiY8eOYuvWrWq9R5mZmQKAyMzMVGs/IiKiyuhy0jXRZebnwnRkJ2E+yl4s2btBPC14KnescqfO97ckBH9vWpllZWXB2NgYmZmZnD9GRERVQk7eIwT8GIwtv+8DALzf/F2Een2Dhkb15Q1WjtT5/taoOWNERESk+WrqG2L50BlY5vk1DPUMcPyvP9B9zhCc+OsPuaPJgsUYERERyaK/fR8c8A9Hc4umuJv1AJ8vm4CFP69DQWGB3NFeKxZjREREJJtmFjbY578Bgxw/ghACS/ZuwGch45GacVfuaK8NizEiIiKSVQ09Aywe8hVWec1CTf0aOPX3efSY64Gjcb/LHe21YDFGRERElcInHZ1x6KsItHrjTdx/mI4BK3wxb9dqPC14Kne0CsVijIiIiCqNpqZW2Pvleni+/wkAYPmBjfhkyRjcfpAmc7KKw2KMiIiIKhUDXX0sGDgNa4fPQW2Dmjhz4yJ6zh2C6Esn5Y5WIViMERERUaXk3qEnogM3oo1Vc6TnZGFI6BTM2r4CT6rYZUsWY0RERFRpNW74Bn72+w7Du30OAFgdHQX3RSNx616yzMnKD4sxIiIiqtT0dfUwp/9khI9aAOMatXE+Pg695nliv+JXuaOVCxZjREREpBFc2jkh+quNaG/TCpm5DzFszZf4estS5D3JlzvaK2ExRkRERBrDqoEFdk1Zg1E9BwIA1sX8BLfgEUi4e1vmZC+PxRgRERFpFD0dXXzz6QREjlmEujWNcPHWX+g51wM/n4uRO9pLYTFGREREGql3my44HPg9OjZtg4ePc+Cz7it8+cNCPH6SJ3c0tbAYIyIiIo3VqJ4ptk9ehQkfeAIANh7fgQ8X+uCftFsyJys7FmNERESk0XS1dfBV39H4cXwI6teuiz8T/0aveUOx849DckcrExZjREREVCV0a9UZRwIjYf+mHXLycjF6wwxM+X4eHuU/ljtaqViMERERUZVhVqchtvquwOQ+3pAkCVEn98Blvjf+TomXO1qJWIwRERFRlaKjrYNpbj7YMnE5GhrVw1/JN+AcNAw/nd4rd7RisRgjIiKiKum95u/iSOD3eK95BzzKf4yJG7/FhIjZyMl7JHc0FSzGiIiIqMoyMa6PzROW4cuPRkBL0sKW3/fhg6BhuHL7htzRlFiMERERUZWmraWNSa5e2DZpJcyMG+Ja6k24zPdC1G+7cftBGn67eg7J6XdkyycJIYRsvdMLZWVlwdjYGJmZmTAyMpI7DhERkUa79zAd4yNm4Wjc7yrrtSQtLBrsj4GOH5VLP+p8f/PMGBEREVUbDWrXRdTYJRj/gYfK+kJRCL+o+bKcIWMxRkRERNWKlpYWnFp0KrK+oLAQ8XcSX3+e194jERERkcyamFhCS1Itg7S1tGBjYvnas7AYIyIiomrHoq4JFg32h7bWs1JIW0sLwYP8YVHX5LVn0XntPRIRERFVAgMdP0LXlp0RfycRNiaWshRiAIsxIiIiqsYs6prIVoT9i5cpiYiIiGQkazF2/PhxuLm5wcLCApIkYdeuXS/cJyoqCm3btkWNGjVgbm4OLy8v3L9/X7k9IiICkiSpLAYGBirH2LFjB3r37o369etDkiQoFIoS+xNCwMXFpdh8EyZMwDvvvAN9fX20a9eu2P0vXryI9957DwYGBrC0tMTChQtfOEYiIiKqPmQtxnJyctC2bVuEhoaWqf3Jkyfh4eEBb29vxMXFYevWrThz5gx8fHxU2hkZGSElJUW5JCQkFOm3S5cuWLBgwQv7DAkJgSRJJW738vJC//79i92WlZWF3r17w9raGufOnUNwcDC++eYbfPfdd2UYLREREVUHss4Zc3FxgYuLS5nbnz59Go0bN8aECRMAADY2Nhg5cmSRokqSJJiZmZV4nCFDhgAAbt68WWp/CoUCixcvxtmzZ2Fubl5k+/LlywEAd+/excWLF4tsj4qKQn5+PsLCwqCnp4dWrVpBoVBgyZIlGDFiRKl9ExERUfWgUXPG7O3tkZiYiH379kEIgbS0NGzbtg2urq4q7bKzs2FtbQ1LS0u4u7sjLi5O7b5yc3MxcOBAhIaGllrYleb06dN4//33oaenp1zn7OyMq1evIj09vdh98vLykJWVpbIQERFR1aVRxZijoyOioqLQv39/6OnpwczMDMbGxiqXOZs1a4awsDDs3r0bmzZtQmFhIRwcHJCUlKRWX5MmTYKDgwPc3d1fOm9qaipMTU1V1v37OjU1tdh9goKCYGxsrFwsLV//zeeIiIjo9dGoYuzy5cuYOHEiZsyYgXPnzuHAgQO4efMmRo0apWxjb28PDw8PtGvXDk5OTtixYwcaNmyItWvXlrmfPXv2ICYmBiEhIRUwitIFBAQgMzNTuSQmvv7HMhAREdHro1H3GQsKCoKjoyP8/PwAAG3atEHNmjXx3nvvYc6cOcXO69LV1YWdnR2uX79e5n5iYmJw48YN1KlTR2V9v3798N577+HYsWNlOo6ZmRnS0tJU1v37uqRLn/r6+tDX1y9zViIiItJsGnVmLDc3F1pazz1HSlsbwLNbUBSnoKAAly5dKrZQK4m/vz8uXrwIhUKhXABg6dKlCA8PL/Nx7O3tcfz4cTx58kS5Ljo6Gs2aNUPdunXLfBwiIiKqumQ9M5adna1yxio+Ph4KhQL16tWDlZUVAgICcPv2bURGRgIA3Nzc4OPjg9WrV8PZ2RkpKSnw9fVFx44dYWFhAQCYPXs2OnfuDFtbW2RkZCA4OBgJCQkYPny4sp8HDx7g1q1bSE5OBgBcvXoVwLOzVf9dnmdlZQUbGxvl6+vXryM7Oxupqal49OiRsmhr2bIl9PT0MHDgQMyaNQve3t748ssv8eeff2LZsmVYunRp+b6RREREpLmEjI4ePSoAFFk8PT2FEEJ4enoKJycnlX2WL18uWrZsKQwNDYW5ubkYNGiQSEpKUm739fUVVlZWQk9PT5iamgpXV1dx/vx5lWOEh4cX2+/MmTNLzApA7Ny5U2Wdk5NTsceJj49Xtrlw4YLo0qWL0NfXF40aNRLz589X6z3KzMwUAERmZqZa+xEREZF81Pn+loQo4foeVQqZmZmoU6cOEhMTYWRkJHccIiIiKoOsrCxYWloiIyMDxsbGpbbVqAn81dHDhw8BgLe4ICIi0kAPHz58YTHGM2OVXGFhIZKTk1G7du1SH8v0Mv6t2qvqWbeqPj6g6o+R49N8VX2MHJ/mq6gxCiHw8OFDWFhYFPnx4fN4ZqyS09LSwhtvvFGhfRgZGVXZPzKg6o8PqPpj5Pg0X1UfI8en+SpijC86I/Yvjbq1BREREVFVw2KMiIiISEYsxqoxfX19zJw5s8re8b+qjw+o+mPk+DRfVR8jx6f5KsMYOYGfiIiISEY8M0ZEREQkIxZjRERERDJiMUZEREQkIxZjRERERDJiMVbFhYaGonHjxjAwMECnTp1w5syZUttv3boVzZs3h4GBAVq3bo19+/a9pqQvR53xRUREQJIklcXAwOA1plXP8ePH4ebmBgsLC0iShF27dr1wn2PHjqF9+/bQ19eHra0tIiIiKjznq1B3jMeOHSvyGUqShNTU1NcTWA1BQUF49913Ubt2bZiYmKBv3764evXqC/fTpL/BlxmjJv0drl69Gm3atFHeDNTe3h779+8vdR9N+vwA9ceoSZ9fcebPnw9JkuDr61tqu9f9ObIYq8J++uknTJ48GTNnzsT58+fRtm1bODs7486dO8W2P3XqFAYMGABvb2/Exsaib9++6Nu3L/7888/XnLxs1B0f8OwOyykpKcolISHhNSZWT05ODtq2bYvQ0NAytY+Pj0efPn3QrVs3KBQK+Pr6Yvjw4Th48GAFJ3156o7xX1evXlX5HE1MTCoo4cv79ddfMXbsWPz++++Ijo7GkydP0Lt3b+Tk5JS4j6b9Db7MGAHN+Tt84403MH/+fJw7dw5nz55F9+7d4e7ujri4uGLba9rnB6g/RkBzPr/n/fHHH1i7di3atGlTajtZPkdBVVbHjh3F2LFjla8LCgqEhYWFCAoKKrb9559/Lvr06aOyrlOnTmLkyJEVmvNlqTu+8PBwYWxs/JrSlS8AYufOnaW2mTZtmmjVqpXKuv79+wtnZ+cKTFZ+yjLGo0ePCgAiPT39tWQqT3fu3BEAxK+//lpiG037G3xeWcaoyX+HQghRt25dsX79+mK3afrn96/Sxqipn9/Dhw/Fm2++KaKjo4WTk5OYOHFiiW3l+Bx5ZqyKys/Px7lz59CzZ0/lOi0tLfTs2ROnT58udp/Tp0+rtAcAZ2fnEtvL6WXGBwDZ2dmwtraGpaXlC//1p2k06fN7Ve3atYO5uTl69eqFkydPyh2nTDIzMwEA9erVK7GNpn+GZRkjoJl/hwUFBdi8eTNycnJgb29fbBtN//zKMkZAMz+/sWPHok+fPkU+n+LI8TmyGKui7t27h4KCApiamqqsNzU1LXF+TWpqqlrt5fQy42vWrBnCwsKwe/dubNq0CYWFhXBwcEBSUtLriFzhSvr8srKy8OjRI5lSlS9zc3OsWbMG27dvx/bt22FpaYmuXbvi/PnzckcrVWFhIXx9feHo6Ii33367xHaa9Df4vLKOUdP+Di9duoRatWpBX18fo0aNws6dO9GyZcti22rq56fOGDXt8wOAzZs34/z58wgKCipTezk+R50KOzJRJWNvb6/yrz0HBwe0aNECa9euxbfffitjMiqrZs2aoVmzZsrXDg4OuHHjBpYuXYrvv/9exmSlGzt2LP7880/89ttvckepMGUdo6b9HTZr1gwKhQKZmZnYtm0bPD098euvv5ZYrGgidcaoaZ9fYmIiJk6ciOjo6Er9QwMWY1VUgwYNoK2tjbS0NJX1aWlpMDMzK3YfMzMztdrL6WXG9zxdXV3Y2dnh+vXrFRHxtSvp8zMyMoKhoaFMqSpex44dK3WRM27cOPzyyy84fvw43njjjVLbatLf4H+pM8bnVfa/Qz09Pdja2gIA3nnnHfzxxx9YtmwZ1q5dW6Stpn5+6ozxeZX98zt37hzu3LmD9u3bK9cVFBTg+PHjWLlyJfLy8qCtra2yjxyfIy9TVlF6enp45513cOTIEeW6wsJCHDlypMS5APb29irtASA6OrrUuQNyeZnxPa+goACXLl2Cubl5RcV8rTTp8ytPCoWiUn6GQgiMGzcOO3fuRExMDGxsbF64j6Z9hi8zxudp2t9hYWEh8vLyit2maZ9fSUob4/Mq++fXo0cPXLp0CQqFQrl06NABgwYNgkKhKFKIATJ9jhX20wCS3ebNm4W+vr6IiIgQly9fFiNGjBB16tQRqampQgghhgwZIvz9/ZXtT548KXR0dMSiRYvElStXxMyZM4Wurq64dOmSXEMolbrjmzVrljh48KC4ceOGOHfunPjiiy+EgYGBiIuLk2sIpXr48KGIjY0VsbGxAoBYsmSJiI2NFQkJCUIIIfz9/cWQIUOU7f/55x9Ro0YN4efnJ65cuSJCQ0OFtra2OHDggFxDeCF1x7h06VKxa9cuce3aNXHp0iUxceJEoaWlJQ4fPizXEEo0evRoYWxsLI4dOyZSUlKUS25urrKNpv8NvswYNenv0N/fX/z6668iPj5eXLx4Ufj7+wtJksShQ4eEEJr/+Qmh/hg16fMryfO/pqwMnyOLsSpuxYoVwsrKSujp6YmOHTuK33//XbnNyclJeHp6qrTfsmWLeOutt4Senp5o1aqV2Lt372tOrB51xufr66tsa2pqKlxdXcX58+dlSF02/97G4fnl3zF5enoKJyenIvu0a9dO6OnpiSZNmojw8PDXnlsd6o5xwYIFomnTpsLAwEDUq1dPdO3aVcTExMgT/gWKGxcAlc9E0/8GX2aMmvR36OXlJaytrYWenp5o2LCh6NGjh7JIEULzPz8h1B+jJn1+JXm+GKsMn6MkhBAVd96NiIiIiErDOWNEREREMmIxRkRERCQjFmNEREREMmIxRkRERCQjFmNEREREMmIxRkRERCQjFmNEREREMmIxRkRERCQjFmNERGpo3LgxQkJC5I5Rqg0bNqB3795q7XPv3j2YmJggKSmpglIRUUlYjBFRteDm5oYPPvig2G0nTpyAJEm4ePGi2seVJAm7du16xXTl5/Hjx/j6668xc+ZMAMD48ePRokWLYtveunUL2tra2LNnDxo0aAAPDw/lfkT0+rAYI6JqwdvbG9HR0cWe+QkPD0eHDh3Qpk0bGZKVr23btsHIyAiOjo4Ano37r7/+wqlTp4q0jYiIgImJCVxdXQEAw4YNQ1RUFB48ePBaMxNVdyzGiKha+PDDD9GwYUNERESorM/OzsbWrVvh7e0NANi+fTtatWoFfX19NG7cGIsXLy7xmI0bNwYAfPzxx5AkSfn6xo0bcHd3h6mpKWrVqoV3330Xhw8fVtk3JSUFffr0gaGhIWxsbPDDDz8UuQSakZGB4cOHo2HDhjAyMkL37t1x4cKFUse5efNmuLm5KV+3a9cO7du3R1hYmEo7IQQiIiLg6ekJHR0dAECrVq1gYWGBnTt3ltoHEZUvFmNEVC3o6OjAw8MDEREREEIo12/duhUFBQUYMGAAzp07h88//xxffPEFLl26hG+++QZff/11kQLuX3/88QeAZ2fWUlJSlK+zs7Ph6uqKI0eOIDY2Fh988AHc3Nxw69Yt5b4eHh5ITk7GsWPHsH37dnz33Xe4c+eOyvE/++wz3LlzB/v378e5c+fQvn179OjRo9QzV7/99hs6dOigss7b2xtbtmxBTk6Oct2xY8cQHx8PLy8vlbYdO3bEiRMnSnkniajcCSKiauLKlSsCgDh69Khy3XvvvScGDx4shBBi4MCBolevXir7+Pn5iZYtWypfW1tbi6VLlypfAxA7d+58Yd+tWrUSK1asUMnxxx9/KLdfu3ZNAFAe+8SJE8LIyEg8fvxY5ThNmzYVa9euLbaP9PR0AUAcP368yHoDAwMRHh6uXDdkyBDRpUuXIseYNGmS6Nq16wvHQ0Tlh2fGiKjaaN68ORwcHJSX7K5fv44TJ04oL1FeuXJFOdfqX46Ojrh27RoKCgrK3E92djamTp2KFi1aoE6dOqhVqxauXLmiPDN29epV6OjooH379sp9bG1tUbduXeXrCxcuIDs7G/Xr10etWrWUS3x8PG7cuFFsv48ePQIAGBgYqKyvU6cOPvnkE+W4s7KysH37duW4/8vQ0BC5ubllHisRvToduQMQEb1O3t7eGD9+PEJDQxEeHo6mTZvCycmpXPuYOnUqoqOjsWjRItja2sLQ0BCffvop8vPzy3yM7OxsmJub49ixY0W21alTp9h96tevD0mSkJ6eXmSbt7c3evTogevXr+Po0aPQ1tbGZ599VqTdgwcP0LBhwzLnJKJXxzNjRFStfP7559DS0sIPP/yAyMhIeHl5QZIkAECLFi1w8uRJlfYnT57EW2+9BW1t7WKPp6urW+Ss2cmTJzF06FB8/PHHaN26NczMzHDz5k3l9mbNmuHp06eIjY1Vrrt+/bpKEdW+fXukpqZCR0cHtra2KkuDBg2KzaKnp4eWLVvi8uXLRbZ169YNNjY2CA8PR3h4OL744gvUrFmzSLs///wTdnZ2xR6fiCoGizEiqlZq1aqF/v37IyAgACkpKRg6dKhy25QpU3DkyBF8++23+Pvvv7Fx40asXLkSU6dOLfF4jRs3xpEjR5Camqospt58803s2LEDCoUCFy5cwMCBA1FYWKjcp3nz5ujZsydGjBiBM2fOIDY2FiNGjIChoaGyMOzZsyfs7e3Rt29fHDp0CDdv3sSpU6cQGBiIs2fPlpjH2dkZv/32W5H1kiTBy8sLq1evxunTp4u9RJmbm4tz586pfcNYInpFck9aIyJ63U6dOiUACFdX1yLbtm3bJlq2bCl0dXWFlZWVCA4OVtn+/AT+PXv2CFtbW6GjoyOsra2FEELEx8eLbt26CUNDQ2FpaSlWrlwpnJycxMSJE5X7JScnCxcXF6Gvry+sra3FDz/8IExMTMSaNWuUbbKyssT48eOFhYWF0NXVFZaWlmLQoEHi1q1bJY4tLi5OGBoaioyMjCLbEhMThZaWlmjVqlWx+/7www+iWbNmJR6biCqGJMR/fuNNRESySEpKgqWlJQ4fPowePXq80rE+++wztG/fHgEBAWrt17lzZ0yYMAEDBw58pf6JSD28TElEJIOYmBjs2bMH8fHxOHXqFL744gs0btwY77///isfOzg4GLVq1VJrn3v37uGTTz7BgAEDXrl/IlIPz4wREcng4MGDmDJlCv755x/Url0bDg4OCAkJgbW1tdzRiOg1YzFGREREJCNepiQiIiKSEYsxIiIiIhmxGCMiIiKSEYsxIiIiIhmxGCMiIiKSEYsxIiIiIhmxGCMiIiKSEYsxIiIiIhn9P/yuXk2GZP8fAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "n_eff = [sim_data.n_eff.isel(mode_index=0, f=0).item() for sim_data in batch_data.values()]\n", "\n", "_ = plt.plot(voltages, n_eff, \".-\")\n", - "_ plt.ticklabel_format(style='plain', useOffset=False)\n", + "_ = plt.ticklabel_format(style=\"plain\", useOffset=False)\n", "plt.gca().set(xlabel=\"Voltage (V)\", ylabel=\"Optical Effective Index\")\n", "\n", "plt.show()" @@ -701,10 +1564,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "id": "8093b264", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Vπ·L (single-drive) = 7.62 V·cm\n", + "Vπ·L (push-pull) = 3.81 V·cm\n" + ] + } + ], "source": [ "# The variation is quite linear, so we simply use the largest interval\n", "dneff_dV = abs(n_eff[-1] - n_eff[0]) / (voltages[-1] - voltages[0])\n", From c6b24acd7e12b88ca6ac57bf6ad9924a790ca925 Mon Sep 17 00:00:00 2001 From: "filipe@flexcompute.com" Date: Tue, 28 Oct 2025 16:50:58 -0300 Subject: [PATCH 4/5] comments --- TFLNTidy3d.ipynb | 865 ++++++++++++++++++++++++----------------------- 1 file changed, 441 insertions(+), 424 deletions(-) diff --git a/TFLNTidy3d.ipynb b/TFLNTidy3d.ipynb index 5e5a9bfb..f811766c 100644 --- a/TFLNTidy3d.ipynb +++ b/TFLNTidy3d.ipynb @@ -7,16 +7,15 @@ "source": [ "# Thin film Lithium Niobate Electro-Optic Modulator using Tidy3D\n", "\n", - "In this example, we will simulate a thin-film lithium niobate electro-optic modulator based on Pockels effect. The device is based on the work of `*Ying Li et al.*, “High-Performance Mach–Zehnder Modulator Based on Thin-Film Lithium Niobate with Low Voltage-Length Product,” *ACS Omega* 2023, 8 (10), 9644–9651.` DOI: [10.1021/acsomega.3c00310](https://pubs.acs.org/doi/10.1021/acsomega.3c00310).\n", + "In this example, we will simulate a thin-film lithium niobate electro-optic modulator based on the Pockels effect. The device is based on the work of `*Ying Li et al.*, “High-Performance Mach–Zehnder Modulator Based on Thin-Film Lithium Niobate with Low Voltage-Length Product,” *ACS Omega* 2023, 8 (10), 9644–9651.` DOI: [10.1021/acsomega.3c00310](https://pubs.acs.org/doi/10.1021/acsomega.3c00310).\n", "\n", - "We start by calculating the propagating modes of the TFLN waveguide and the coplanar (CPW) transmission line using [mode simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html).\n", + "We start by calculating the propagating modes of the TFLN waveguide and the coplanar (CPW) transmission line using [mode simulation](https://www.flexcompute.com/tidy3d/examples/notebooks/ModeSolver/).\n", "\n", "Finally, we calculate the electro-optic overlap and predict the Vπ·L figure of merit.\n", "\n", "You can check [here](https://docs.flexcompute.com/projects/photonforge/en/latest/examples/EO-MZM.html) the same model, along with the full chip layout integrated with a foundry PDK, using [Photonforge](https://www.flexcompute.com/photonforge/), our photonic design automation tool.\n", "\n", - "\"Schematic\n", - "\n" + "\"Schematic" ] }, { @@ -26,11 +25,11 @@ "source": [ "### Workflow Overview\n", "\n", - "[1.](#1) Define the thin-film lithium niobate waveguide geometry and solve for the optical TE mode using [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html).\n", + "[1.](#1) Define the thin-film lithium niobate waveguide geometry and solve for the optical TE mode using the [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html).\n", "\n", - "[2.](#2) Build the CPW transmission line in the same cross-section and compute the RF mode.\n", + "[2.](#2) Build the CPW transmission line in the same cross-section and compute the RF mode and its overlap with the optical waveguide.\n", "\n", - "[3.](#3) Normalize the RF field to 1 V across the electrodes, evaluate the electro-optic overlap, and estimate Vπ·L.\n" + "[3.](#3) Normalize the RF field to 1 V across the electrodes, evaluate the electro-optic overlap, and estimate Vπ·L." ] }, { @@ -60,7 +59,7 @@ "id": "49b37a57", "metadata": {}, "source": [ - "## Optical Waveguide Geometry" + "## Optical Waveguide Geometry " ] }, { @@ -70,12 +69,12 @@ "metadata": {}, "outputs": [], "source": [ + "# Simulation parameters\n", "eff_inf = 1e3 # Large extent to emulate semi-infinite regions\n", "\n", "opt_wavelength = 1.55\n", "freq_opt = td.C_0 / opt_wavelength\n", "\n", - "\n", "# Optical materials: SiO2 cladding and TFLN core\n", "SiO2 = td.material_library[\"SiO2\"][\"Palik_Lossless\"]\n", "LiNbO3 = td.material_library[\"LiNbO3\"][\"Zelmon1997\"](1)\n", @@ -89,7 +88,7 @@ "plane_limits = (-1.5, 1.9)\n", "plane_height = 3.4\n", "\n", - "\n", + "# Define waveguide structures\n", "ridge = td.Structure(\n", " name=\"ridge\",\n", " geometry=td.Box(\n", @@ -114,9 +113,10 @@ " medium=LiNbO3,\n", ")\n", "\n", - "\n", + "# Grid specification\n", "grid_spec = td.GridSpec.auto(min_steps_per_wvl=20, wavelength=opt_wavelength)\n", "\n", + "# Create optical simulation\n", "sim_opt = td.Simulation(\n", " size=(10.0, plane_size, plane_height),\n", " run_time=1e-12,\n", @@ -131,7 +131,7 @@ "id": "e8801650", "metadata": {}, "source": [ - "### Creating the [ModSolver]() object and run mode simulation." + "### Creating the [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) object and running the mode simulation" ] }, { @@ -140,16 +140,6 @@ "id": "5edff819", "metadata": {}, "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - }, { "data": { "image/png": "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", @@ -164,14 +154,14 @@ "source": [ "## Creating the ModeSolver\n", "\n", - "mode_spec = td.ModeSpec(num_modes=5)\n", + "mode_spec = td.ModeSpec(num_modes=5, group_index_step=True)\n", "\n", "plane_size = (0, sim_opt.bounding_box.size[1], sim_opt.bounding_box.size[2])\n", "plane = sim_opt.bounding_box.updated_copy(size=plane_size)\n", "\n", "mode_solver_opt = ModeSolver(simulation=sim_opt, freqs=[freq_opt], mode_spec=mode_spec, plane=plane)\n", "\n", - "mode_solver_opt.plot()" + "_ = mode_solver_opt.plot()" ] }, { @@ -183,14 +173,14 @@ { "data": { "text/html": [ - "
11:59:38 -03 Created task 'TFLN-opt_mode' with resource_id                      \n",
-       "             'mo-d7687704-b36c-40bc-9e28-ca4c65db8e72' and task_type            \n",
+       "
16:42:40 -03 Created task 'TFLN-opt_mode' with resource_id                      \n",
+       "             'mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c' and task_type            \n",
        "             'MODE_SOLVER'.                                                     \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m11:59:38 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'TFLN-opt_mode'\u001b[0m with resource_id \n", - "\u001b[2;36m \u001b[0m\u001b[32m'mo-d7687704-b36c-40bc-9e28-ca4c65db8e72'\u001b[0m and task_type \n", + "\u001b[2;36m16:42:40 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'TFLN-opt_mode'\u001b[0m with resource_id \n", + "\u001b[2;36m \u001b[0m\u001b[32m'mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c'\u001b[0m and task_type \n", "\u001b[2;36m \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m. \n" ] }, @@ -201,14 +191,14 @@ "data": { "text/html": [ "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-\n",
-       "             40bc-9e28-ca4c65db8e72'.                                           \n",
+       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-\n",
+       "             4254-8a40-93319e87b10c'.                                           \n",
        "
\n" ], "text/plain": [ "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at \n", - "\u001b[2;36m \u001b[0m\u001b]8;id=734769;https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-40bc-9e28-ca4c65db8e72\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=250938;https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-40bc-9e28-ca4c65db8e72\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=734769;https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-40bc-9e28-ca4c65db8e72\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=605385;https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-40bc-9e28-ca4c65db8e72\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=734769;https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-40bc-9e28-ca4c65db8e72\u001b\\\u001b[32m-d7687704-b36c-\u001b[0m\u001b]8;;\u001b\\\n", - "\u001b[2;36m \u001b[0m\u001b]8;id=734769;https://tidy3d.simulation.cloud/workbench?taskId=mo-d7687704-b36c-40bc-9e28-ca4c65db8e72\u001b\\\u001b[32m40bc-9e28-ca4c65db8e72'\u001b[0m\u001b]8;;\u001b\\. \n" + "\u001b[2;36m \u001b[0m\u001b]8;id=94428;https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=870978;https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=94428;https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=973395;https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=94428;https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c\u001b\\\u001b[32m-2fd6ccf9-bf00-\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[2;36m \u001b[0m\u001b]8;id=94428;https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c\u001b\\\u001b[32m4254-8a40-93319e87b10c'\u001b[0m\u001b]8;;\u001b\\. \n" ] }, "metadata": {}, @@ -221,7 +211,7 @@ "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=29615;https://tidy3d.simulation.cloud/folders/folder-8992deaf-7bd2-4439-9603-4a345bb23569\u001b\\\u001b[32m'TFLN-VPI'\u001b[0m\u001b]8;;\u001b\\. \n" + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=600642;https://tidy3d.simulation.cloud/folders/folder-8992deaf-7bd2-4439-9603-4a345bb23569\u001b\\\u001b[32m'TFLN-VPI'\u001b[0m\u001b]8;;\u001b\\. \n" ] }, "metadata": {}, @@ -230,7 +220,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "815af4a01228439590069595ca765740", + "model_id": "dc1bb3dadab44afe8f5f383d07b98a9a", "version_major": 2, "version_minor": 0 }, @@ -254,13 +244,13 @@ { "data": { "text/html": [ - "
11:59:42 -03 Estimated FlexCredit cost: 0.004. Minimum cost depends on task     \n",
+       "
16:42:44 -03 Estimated FlexCredit cost: 0.004. Minimum cost depends on task     \n",
        "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
        "             FlexCredit cost after a simulation run.                            \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m11:59:42 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.004\u001b[0m. Minimum cost depends on task \n", + "\u001b[2;36m16:42:44 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.004\u001b[0m. Minimum cost depends on task \n", "\u001b[2;36m \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", "\u001b[2;36m \u001b[0mFlexCredit cost after a simulation run. \n" ] @@ -271,11 +261,30 @@ { "data": { "text/html": [ - "
11:59:43 -03 status = success                                                   \n",
+       "
16:42:46 -03 status = queued                                                    \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m11:59:43 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" + "\u001b[2;36m16:42:46 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
+       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
+       "             Terminating the Python script will not stop the job running on the \n",
+       "             cloud.                                                             \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or \n", + "\u001b[2;36m \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI. \n", + "\u001b[2;36m \u001b[0mTerminating the Python script will not stop the job running on the \n", + "\u001b[2;36m \u001b[0mcloud. \n" ] }, "metadata": {}, @@ -284,7 +293,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5fee7ed787b64750a5166f506963daec", + "model_id": "4edd22fa256c478ab65edc1f0de68881", "version_major": 2, "version_minor": 0 }, @@ -308,11 +317,101 @@ { "data": { "text/html": [ - "
11:59:54 -03 loading simulation from simulation_data.hdf5                       \n",
+       "
16:42:52 -03 starting up solver                                                 \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:42:52 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
             running solver                                                     \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mrunning solver \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
16:43:00 -03 status = success                                                   \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m11:59:54 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5 \n" + "\u001b[2;36m16:43:00 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
             View simulation result at                                          \n",
+       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-\n",
+       "             4254-8a40-93319e87b10c'.                                           \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView simulation result at \n", + "\u001b[2;36m \u001b[0m\u001b]8;id=249657;https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=626342;https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=249657;https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=827206;https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c\u001b\\\u001b[4;34mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=249657;https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c\u001b\\\u001b[4;34m-2fd6ccf9-bf00-\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[2;36m \u001b[0m\u001b]8;id=249657;https://tidy3d.simulation.cloud/workbench?taskId=mo-2fd6ccf9-bf00-4254-8a40-93319e87b10c\u001b\\\u001b[4;34m4254-8a40-93319e87b10c'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m \n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "bf44e05699d04af0b1b1e574c9467fb6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
16:43:08 -03 loading simulation from simulation_data.hdf5                       \n",
+       "
\n" + ], + "text/plain": [ + "\u001b[2;36m16:43:08 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5 \n" ] }, "metadata": {}, @@ -328,7 +427,7 @@ "id": "0058eb29", "metadata": {}, "source": [ - "We can now visualize and inspect the optical modes." + "We can now visualize and inspect the optical modes. We are interested in the TE-like fundamental mode (with *mode_index == 0*), which has an effective index of 1.85 and a group index of 2.20. This information is very important to ensure velocity matching between the optical and RF modes, and hence optimize the electro-optical effect." ] }, { @@ -366,6 +465,8 @@ " wg TE fraction\n", " wg TM fraction\n", " mode area\n", + " group index\n", + " dispersion (ps/(nm km))\n", " \n", " \n", " f\n", @@ -377,6 +478,8 @@ " \n", " \n", " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -390,6 +493,8 @@ " 0.988385\n", " 0.869531\n", " 1.395676\n", + " 2.203290\n", + " -419.798243\n", " \n", " \n", " 1\n", @@ -400,6 +505,8 @@ " 0.955486\n", " 0.874227\n", " 1.537450\n", + " 2.235663\n", + " -341.654372\n", " \n", " \n", " 2\n", @@ -410,6 +517,8 @@ " 0.775261\n", " 0.987734\n", " 2.170106\n", + " 2.316117\n", + " -1372.697792\n", " \n", " \n", " 3\n", @@ -420,6 +529,8 @@ " 0.909164\n", " 0.881780\n", " 1.840836\n", + " 2.276735\n", + " -435.043857\n", " \n", " \n", " 4\n", @@ -430,6 +541,8 @@ " 0.785301\n", " 0.951572\n", " 2.260011\n", + " 2.346229\n", + " -1383.333042\n", " \n", " \n", "\n", @@ -444,13 +557,21 @@ " 3 1.55 1.753301 0.0 0.978658 \n", " 4 1.55 1.722364 0.0 0.030296 \n", "\n", - " wg TE fraction wg TM fraction mode area \n", - "f mode_index \n", - "1.934145e+14 0 0.988385 0.869531 1.395676 \n", - " 1 0.955486 0.874227 1.537450 \n", - " 2 0.775261 0.987734 2.170106 \n", - " 3 0.909164 0.881780 1.840836 \n", - " 4 0.785301 0.951572 2.260011 " + " wg TE fraction wg TM fraction mode area \\\n", + "f mode_index \n", + "1.934145e+14 0 0.988385 0.869531 1.395676 \n", + " 1 0.955486 0.874227 1.537450 \n", + " 2 0.775261 0.987734 2.170106 \n", + " 3 0.909164 0.881780 1.840836 \n", + " 4 0.785301 0.951572 2.260011 \n", + "\n", + " group index dispersion (ps/(nm km)) \n", + "f mode_index \n", + "1.934145e+14 0 2.203290 -419.798243 \n", + " 1 2.235663 -341.654372 \n", + " 2 2.316117 -1372.697792 \n", + " 3 2.276735 -435.043857 \n", + " 4 2.346229 -1383.333042 " ] }, "execution_count": 5, @@ -478,9 +599,11 @@ "id": "821fae2b", "metadata": {}, "source": [ - "## RF CPW Transmission Line\n", + "## RF CPW Transmission Line \n", + "\n", + "Next, we define the CPW geometry and again use [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) to calculate the RF mode.\n", "\n", - "Next, we define the CPW geometry and again use [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) to calculate the RF mode." + "For more information on CPW mode calculation, one can refer to [this](https://www.flexcompute.com/tidy3d/examples/notebooks/CPWRFPhotonics1/) example." ] }, { @@ -490,10 +613,10 @@ "metadata": {}, "outputs": [], "source": [ + "# RF frequency range\n", "rf_freqs = np.linspace(1e9, 65e9, 20)\n", "\n", - "# RF mediums\n", - "\n", + "# RF materials\n", "si_rf = td.Medium(permittivity=11.7)\n", "sio2_rf = td.Medium(permittivity=3.9)\n", "air_rf = td.Medium()\n", @@ -508,6 +631,7 @@ " ),\n", ")\n", "\n", + "# Layer thickness and positioning parameters\n", "tfln_thickness = 0.2\n", "sio2_thickness = 7\n", "metal_thickness = 0.9\n", @@ -515,11 +639,13 @@ " 4.7 + tfln_thickness / 2\n", ") # Distance between the center of the TFLN from the Si substrate\n", "\n", + "# CPW geometry parameters\n", "cpw_thickness = 0.9\n", "cpw_center = sio2_thickness / 2 - cpw_thickness / 2\n", "cpw_width = 10\n", "cpw_gap = 4\n", "\n", + "# Define CPW transmission line structures\n", "cpw_left = td.Structure(\n", " geometry=td.Box.from_bounds(\n", " rmin=(-eff_inf, -eff_inf, cpw_center - cpw_thickness / 2),\n", @@ -544,7 +670,7 @@ " medium=metal,\n", ")\n", "\n", - "\n", + "# Define substrate and layer structures\n", "sio2_slab = td.Structure(\n", " geometry=td.Box(center=(0, 0, 0), size=(eff_inf, eff_inf, sio2_thickness)), medium=sio2_rf\n", ")\n", @@ -568,98 +694,130 @@ }, { "cell_type": "markdown", - "id": "e9ed9e15", + "id": "caea1e80", "metadata": {}, "source": [ - "Since the RF wavelength is much larger than the geometric features, we use a [LayerRefinementSpec](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.LayerRefinementSpec.html) at the CPW to automatically enhance the mesh and better resolve its corners." + "Now we define the optical waveguide." ] }, { "cell_type": "code", "execution_count": 7, - "id": "101d737f", + "id": "0b823b69", "metadata": {}, "outputs": [], "source": [ - "# Define RF frequency range from 1 GHz to 65 GHz\n", - "rf_freqs = np.linspace(1e9, 65e9, 20)\n", - "\n", - "\n", - "# Define Layer refinement spec\n", - "lr_spec = td.LayerRefinementSpec.from_structures(\n", - " structures=[cpw_center, cpw_left, cpw_right],\n", - " min_steps_along_axis=5,\n", - " corner_refinement=td.GridRefinement(dl=cpw_thickness / 10, num_cells=5),\n", - " refinement_inside_sim_only=False,\n", - ")\n", - "\n", - "# Overall grid specification\n", - "grid_spec = td.GridSpec.auto(\n", - " min_steps_per_wvl=100,\n", - " wavelength=td.C_0 / max(rf_freqs),\n", - " layer_refinement_specs=[lr_spec],\n", - ")\n", + "# Calculate vertical offset to position waveguides at TFLN slab level\n", + "delta_z = tfln_slab.geometry.center[2] - ridge.geometry.center[2]\n", "\n", - "sim_rf_size = (25, 138, 150)\n", + "# Define right waveguide positioned under CPW gap\n", + "waveguide_r = [\n", + " ridge.updated_copy(\n", + " geometry=ridge.geometry.translated(x=0, y=cpw_width / 2 + cpw_gap / 2, z=delta_z),\n", + " name=\"ridge_r\",\n", + " medium=tfln_rf,\n", + " ),\n", + " core.updated_copy(\n", + " geometry=core.geometry.translated(x=0, y=-cpw_width / 2 - cpw_gap / 2, z=delta_z),\n", + " name=\"core_r\",\n", + " medium=tfln_rf,\n", + " ),\n", + "]\n", "\n", - "sim_rf = td.Simulation(\n", - " size=sim_rf_size,\n", - " structures=[sio2_slab, tfln_slab, si_substrate, air_gap, cpw_left, cpw_right, cpw_center],\n", - " grid_spec=grid_spec,\n", - " run_time=1e-12,\n", - ")" + "# Define left waveguide positioned under CPW gap\n", + "waveguide_l = [\n", + " ridge.updated_copy(\n", + " geometry=ridge.geometry.translated(x=0, y=-cpw_width / 2 - cpw_gap / 2, z=delta_z),\n", + " name=\"ridge_l\",\n", + " medium=tfln_rf,\n", + " ),\n", + " core.updated_copy(\n", + " geometry=core.geometry.translated(x=0, y=cpw_width / 2 + cpw_gap / 2, z=delta_z),\n", + " name=\"core_l\",\n", + " medium=tfln_rf,\n", + " ),\n", + "]" ] }, { "cell_type": "markdown", - "id": "3e8dcb6b", + "id": "2171248e", "metadata": {}, "source": [ - "Now, we can inspect the grid." + "### Grid Definition\n", + "\n", + "Since the RF wavelength is much larger than the geometric features, we use a [LayerRefinementSpec](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.LayerRefinementSpec.html) at the CPW to automatically enhance the mesh and better resolve its corners.\n", + "\n", + "For the rest of the simulation, we use the automatic grid with `min_steps_per_sim_size = 100`, which ensures at least 100 grid cells along the longest dimension of the simulation domain.\n", + "\n", + "We will also add mesh override regions to properly resolve the thickness of the optical waveguide, as well as the gaps, to ensure accurate results." ] }, { "cell_type": "code", "execution_count": 8, - "id": "17b2eab6", + "id": "1610730f", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "ax = sim_rf.plot(x=0)\n", - "sim_rf.plot_grid(x=0, ax=ax)\n", - "ax.set_xlim(-10, 10)\n", - "ax.set_ylim(-10, 10)\n", + "# Define layer refinement specification for enhanced mesh at CPW corners\n", + "lr_spec = td.LayerRefinementSpec.from_structures(\n", + " structures=[cpw_center, cpw_left, cpw_right],\n", + " min_steps_along_axis=5,\n", + " corner_refinement=td.GridRefinement(dl=cpw_thickness / 10, num_cells=5),\n", + " refinement_inside_sim_only=False,\n", + ")\n", "\n", - "plt.show()" + "\n", + "# Mesh override for waveguide region (fine mesh in z-direction)\n", + "override_region = td.MeshOverrideStructure(\n", + " geometry=td.Box(\n", + " size=(eff_inf, eff_inf, slab_thickness + core_thickness),\n", + " center=(0, 0, tfln_slab.geometry.center[2] + tfln_thickness / 2),\n", + " ),\n", + " dl=(None, None, 0.01),\n", + ")\n", + "\n", + "# Calculate gap center position\n", + "gap_center = cpw_center.geometry.center[1] + cpw_width / 2 + cpw_gap / 2\n", + "\n", + "# Mesh override for left CPW gap (fine mesh in y-direction)\n", + "override_region_gap_l = td.MeshOverrideStructure(\n", + " geometry=td.Box(size=(eff_inf, cpw_gap, eff_inf), center=(0, gap_center, 0)),\n", + " dl=(None, 0.01, None),\n", + ")\n", + "\n", + "# Mesh override for right CPW gap (fine mesh in y-direction)\n", + "override_region_gap_r = td.MeshOverrideStructure(\n", + " geometry=td.Box(size=(eff_inf, cpw_gap, eff_inf), center=(0, -gap_center, 0)),\n", + " dl=(None, 0.01, None),\n", + ")\n", + "\n", + "# Overall grid specification\n", + "grid_spec = td.GridSpec.auto(\n", + " min_steps_per_sim_size=30,\n", + " wavelength=td.C_0 / max(rf_freqs),\n", + " layer_refinement_specs=[lr_spec],\n", + " override_structures=[override_region, override_region_gap_l, override_region_gap_r],\n", + ")" ] }, { "cell_type": "markdown", - "id": "b03b10c2", + "id": "afda2110", "metadata": {}, "source": [ - "Now, we define a [WavePort](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.smatrix.WavePort.html) object containing a [current](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.CurrentIntegralAxisAligned.html) integration path defined around the CPW signal, and a [voltage](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.VoltageIntegralAxisAligned.html) integration path from the signal to ground to calculate impedance.\n" + "For impedance calculation, we define a [current](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.CurrentIntegralAxisAligned.html) integration path around the CPW signal, and a [voltage](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.VoltageIntegralAxisAligned.html) integration path from the signal to ground." ] }, { "cell_type": "code", "execution_count": 9, - "id": "1318f55c", + "id": "57007847", "metadata": {}, "outputs": [], "source": [ - "# Define current integration path (loop)\n", + "# Define current integration path (loop around CPW signal)\n", "I_int = mw.CurrentIntegralAxisAligned(\n", " center=cpw_center.geometry.center,\n", " size=(\n", @@ -669,53 +827,94 @@ " ),\n", " sign=\"+\",\n", ")\n", - "# Define voltage integration path (line)\n", + "\n", + "# Define voltage integration path (line from signal to ground)\n", "V_int = mw.VoltageIntegralAxisAligned(\n", " center=(0, cpw_width / 2 + cpw_gap / 2, cpw_center.geometry.center[2]),\n", " size=(0, cpw_gap, 0),\n", " sign=\"-\",\n", - ")\n", - "\n", - "# Define wave ports\n", - "WP1 = sm.WavePort(\n", - " center=cpw_center.geometry.center,\n", - " size=(0, sim_rf.size[1], sim_rf.size[2]),\n", - " mode_spec=td.ModeSpec(target_neff=2.2),\n", - " direction=\"+\",\n", - " name=\"WP1\",\n", - " current_integral=I_int,\n", - " voltage_integral=V_int,\n", ")" ] }, { "cell_type": "markdown", - "id": "04dad6c3", + "id": "3b4ffda0", "metadata": {}, "source": [ - "Finally, we can use our [WavePort](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.smatrix.WavePort.html) object to automatically configure the [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) based on the RF simulation model.\n" + "Finally, we can create the [Simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html) and [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) objects." ] }, { "cell_type": "code", "execution_count": 10, - "id": "4d8cf718", + "id": "b96fcbc7", "metadata": {}, "outputs": [], "source": [ - "# Obtain mode solver from wave port\n", - "mode_solver_rf = WP1.to_mode_solver(simulation=sim_rf, freqs=rf_freqs)" + "# Simulation domain size\n", + "sim_rf_size = (25, 138, 150)\n", + "\n", + "# Create RF simulation\n", + "sim_vpi = td.Simulation(\n", + " size=sim_rf_size,\n", + " structures=[sio2_slab, si_substrate, air_gap, cpw_left, cpw_right, cpw_center]\n", + " + waveguide_r\n", + " + waveguide_l,\n", + " grid_spec=grid_spec,\n", + " run_time=1e-12,\n", + ")" ] }, { "cell_type": "code", "execution_count": 11, - "id": "d0011c9e", + "id": "de0b6b55", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Create and visualize the mode solver\n", + "\n", + "plane = td.Box(\n", + " center=cpw_center.geometry.center,\n", + " size=(0, sim_vpi.size[1], sim_vpi.size[2]),\n", + ")\n", + "\n", + "mzm_solver = ModeSolver(\n", + " simulation=sim_vpi,\n", + " plane=plane,\n", + " mode_spec=td.ModeSpec(num_modes=1, target_neff=2.2),\n", + " freqs=rf_freqs,\n", + ")\n", + "\n", + "# Visualize the mesh\n", + "\n", + "ax = mzm_solver.plot()\n", + "mzm_solver.plot_grid(ax=ax)\n", + "ax.set_ylim(1, 5)\n", + "ax.set_xlim(4, 10)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ddd67053", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -727,7 +926,7 @@ "source": [ "# Plot V and I integration paths\n", "fig, ax = plt.subplots(figsize=(10, 3))\n", - "mode_solver_rf.plot(ax=ax)\n", + "mzm_solver.plot(ax=ax)\n", "I_int.plot(x=0, ax=ax)\n", "V_int.plot(x=0, ax=ax)\n", "ax.set_xlim(-20, 20)\n", @@ -737,21 +936,21 @@ }, { "cell_type": "code", - "execution_count": 12, - "id": "7fb8daeb", + "execution_count": 13, + "id": "38935f5b", "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
11:59:56 -03 Created task 'CPW mode solver' with resource_id                    \n",
-       "             'mo-2291d686-25b0-4507-bbf9-ee62b720fbba' and task_type            \n",
+       "
16:43:10 -03 Created task 'MZM mode solver' with resource_id                    \n",
+       "             'mo-083aec84-4655-4b4c-831a-b60d07f90466' and task_type            \n",
        "             'MODE_SOLVER'.                                                     \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m11:59:56 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'CPW mode solver'\u001b[0m with resource_id \n", - "\u001b[2;36m \u001b[0m\u001b[32m'mo-2291d686-25b0-4507-bbf9-ee62b720fbba'\u001b[0m and task_type \n", + "\u001b[2;36m16:43:10 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'MZM mode solver'\u001b[0m with resource_id \n", + "\u001b[2;36m \u001b[0m\u001b[32m'mo-083aec84-4655-4b4c-831a-b60d07f90466'\u001b[0m and task_type \n", "\u001b[2;36m \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m. \n" ] }, @@ -762,14 +961,14 @@ "data": { "text/html": [ "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-\n",
-       "             4507-bbf9-ee62b720fbba'.                                           \n",
+       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-\n",
+       "             4b4c-831a-b60d07f90466'.                                           \n",
        "
\n" ], "text/plain": [ "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at \n", - "\u001b[2;36m \u001b[0m\u001b]8;id=108546;https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-4507-bbf9-ee62b720fbba\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=544536;https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-4507-bbf9-ee62b720fbba\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=108546;https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-4507-bbf9-ee62b720fbba\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=952698;https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-4507-bbf9-ee62b720fbba\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=108546;https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-4507-bbf9-ee62b720fbba\u001b\\\u001b[32m-2291d686-25b0-\u001b[0m\u001b]8;;\u001b\\\n", - "\u001b[2;36m \u001b[0m\u001b]8;id=108546;https://tidy3d.simulation.cloud/workbench?taskId=mo-2291d686-25b0-4507-bbf9-ee62b720fbba\u001b\\\u001b[32m4507-bbf9-ee62b720fbba'\u001b[0m\u001b]8;;\u001b\\. \n" + "\u001b[2;36m \u001b[0m\u001b]8;id=630299;https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-4b4c-831a-b60d07f90466\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=975803;https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-4b4c-831a-b60d07f90466\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=630299;https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-4b4c-831a-b60d07f90466\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=877767;https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-4b4c-831a-b60d07f90466\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=630299;https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-4b4c-831a-b60d07f90466\u001b\\\u001b[32m-083aec84-4655-\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[2;36m \u001b[0m\u001b]8;id=630299;https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-4b4c-831a-b60d07f90466\u001b\\\u001b[32m4b4c-831a-b60d07f90466'\u001b[0m\u001b]8;;\u001b\\. \n" ] }, "metadata": {}, @@ -782,7 +981,7 @@ "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=893179;https://tidy3d.simulation.cloud/folders/folder-f9e994c1-6315-4b44-af3a-c2cb1435b23a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\. \n" + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=504119;https://tidy3d.simulation.cloud/folders/folder-f9e994c1-6315-4b44-af3a-c2cb1435b23a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\. \n" ] }, "metadata": {}, @@ -791,7 +990,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9923e0298dd3408488c7f99d2f39cb32", + "model_id": "2e285455cab64ccd8489489122d79f36", "version_major": 2, "version_minor": 0 }, @@ -815,13 +1014,13 @@ { "data": { "text/html": [ - "
11:59:58 -03 Estimated FlexCredit cost: 0.006. Minimum cost depends on task     \n",
+       "
16:43:12 -03 Estimated FlexCredit cost: 0.016. Minimum cost depends on task     \n",
        "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
        "             FlexCredit cost after a simulation run.                            \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m11:59:58 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.006\u001b[0m. Minimum cost depends on task \n", + "\u001b[2;36m16:43:12 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.016\u001b[0m. Minimum cost depends on task \n", "\u001b[2;36m \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", "\u001b[2;36m \u001b[0mFlexCredit cost after a simulation run. \n" ] @@ -832,25 +1031,11 @@ { "data": { "text/html": [ - "
12:00:00 -03 status = success                                                   \n",
+       "
16:43:14 -03 status = queued                                                    \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m12:00:00 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "080e5da181ab4808ac66490ee4d5c797", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" + "\u001b[2;36m16:43:14 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued \n" ] }, "metadata": {}, @@ -859,213 +1044,42 @@ { "data": { "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
12:00:13 -03 loading simulation from data/WP1_mode_data.hdf5                    \n",
+       "
             To cancel the simulation, use 'web.abort(task_id)' or              \n",
+       "             'web.delete(task_id)' or abort/delete the task in the web UI.      \n",
+       "             Terminating the Python script will not stop the job running on the \n",
+       "             cloud.                                                             \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m12:00:13 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/WP1_mode_data.hdf5 \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "mode_data_rf = web.run(mode_solver_rf, task_name=\"CPW mode solver\", path=\"data/WP1_mode_data.hdf5\")" - ] - }, - { - "cell_type": "markdown", - "id": "5a07d673", - "metadata": {}, - "source": [ - "We can now use the built-in [ImpedanceCalculator](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.ImpedanceCalculator.html) to calculate and visualize the impedance results.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "299e42fb", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or \n", + "\u001b[2;36m \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI. \n", + "\u001b[2;36m \u001b[0mTerminating the Python script will not stop the job running on the \n", + "\u001b[2;36m \u001b[0mcloud. \n" ] }, "metadata": {}, "output_type": "display_data" - } - ], - "source": [ - "# Calculate Z0\n", - "Z0_mode = np.conjugate(\n", - " mw.ImpedanceCalculator(voltage_integral=V_int, current_integral=I_int).compute_impedance(\n", - " mode_data_rf\n", - " )\n", - ").squeeze()\n", - "\n", - "\n", - "fig, ax = plt.subplots(1, 2, figsize=(9, 3), tight_layout=True)\n", - "\n", - "mode_solver_rf.plot_field(\"Ey\", \"real\", f=rf_freqs[0].item(), robust=False, ax=ax[0])\n", - "ax[0].set_xlim(-20, 20)\n", - "ax[0].set_ylim(-20, 20)\n", - "\n", - "ax[1].plot(Z0_mode.f * 1e-9, Z0_mode.real)\n", - "_ = ax[1].set(xlabel=\"Frequencies (GHz)\", ylabel=\"Re{Z₀} (Ω)\")" - ] - }, - { - "cell_type": "markdown", - "id": "52e82ec2", - "metadata": {}, - "source": [ - "## Computation of Vπ·L\n", - "\n", - "Next, we run a similar mode simulation, this time adding the TFLN waveguides beneath the CPW gaps. We then monitor the RF fields at the waveguides and calculate the index change due to the Pockels effect." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "0b823b69", - "metadata": {}, - "outputs": [], - "source": [ - "delta_z = tfln_slab.geometry.center[2] - ridge.geometry.center[2]\n", - "\n", - "waveguide_r = [\n", - " ridge.updated_copy(\n", - " geometry=ridge.geometry.translated(x=0, y=cpw_width / 2 + cpw_gap / 2, z=delta_z),\n", - " name=\"ridge_r\",\n", - " medium=tfln_rf,\n", - " ),\n", - " core.updated_copy(\n", - " geometry=core.geometry.translated(x=0, y=-cpw_width / 2 - cpw_gap / 2, z=delta_z),\n", - " name=\"core_r\",\n", - " medium=tfln_rf,\n", - " ),\n", - "]\n", - "\n", - "waveguide_l = [\n", - " ridge.updated_copy(\n", - " geometry=ridge.geometry.translated(x=0, y=-cpw_width / 2 - cpw_gap / 2, z=delta_z),\n", - " name=\"ridge_l\",\n", - " medium=tfln_rf,\n", - " ),\n", - " core.updated_copy(\n", - " geometry=core.geometry.translated(x=0, y=cpw_width / 2 + cpw_gap / 2, z=delta_z),\n", - " name=\"core_l\",\n", - " medium=tfln_rf,\n", - " ),\n", - "]\n", - "\n", - "override_region = td.MeshOverrideStructure(\n", - " geometry=td.Box(\n", - " size=(eff_inf, eff_inf, slab_thickness + core_thickness),\n", - " center=(0, 0, tfln_slab.geometry.center[2] + tfln_thickness / 2),\n", - " ),\n", - " dl=(None, None, 0.01),\n", - ")\n", - "\n", - "gap_center = cpw_center.geometry.center[1] + cpw_width / 2 + cpw_gap / 2\n", - "\n", - "override_region_gap_l = td.MeshOverrideStructure(\n", - " geometry=td.Box(size=(eff_inf, cpw_gap, eff_inf), center=(0, gap_center, 0)),\n", - " dl=(None, 0.01, None),\n", - ")\n", - "\n", - "override_region_gap_r = td.MeshOverrideStructure(\n", - " geometry=td.Box(size=(eff_inf, cpw_gap, eff_inf), center=(0, -gap_center, 0)),\n", - " dl=(None, 0.01, None),\n", - ")\n", - "\n", - "\n", - "grid_spec_vpi = grid_spec.updated_copy(\n", - " override_structures=[override_region, override_region_gap_l, override_region_gap_r]\n", - ")\n", - "sim_vpi = sim_rf.updated_copy(\n", - " structures=[sio2_slab, si_substrate, air_gap, cpw_left, cpw_right, cpw_center]\n", - " + waveguide_r\n", - " + waveguide_l,\n", - " grid_spec=grid_spec_vpi,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "de0b6b55", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(4.0, 10.0)" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" }, { "data": { - "image/png": "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", + "application/vnd.jupyter.widget-view+json": { + "model_id": "d270a5e5b5334124a8bae6b180dcdee4", + "version_major": 2, + "version_minor": 0 + }, "text/plain": [ - "
" + "Output()" ] }, "metadata": {}, "output_type": "display_data" - } - ], - "source": [ - "mzm_solver = ModeSolver(\n", - " simulation=sim_vpi,\n", - " plane=mode_solver_rf.plane,\n", - " mode_spec=td.ModeSpec(num_modes=1, target_neff=2.2),\n", - " freqs=rf_freqs,\n", - ")\n", - "\n", - "\n", - "ax = mzm_solver.plot()\n", - "mzm_solver.plot_grid(ax=ax)\n", - "ax.set_ylim(1, 5)\n", - "ax.set_xlim(4, 10)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "38935f5b", - "metadata": {}, - "outputs": [ + }, { "data": { "text/html": [ - "
12:00:15 -03 Created task 'MZM mode solver' with resource_id                    \n",
-       "             'mo-2cc0f904-09e7-4efd-a998-13eaae14f231' and task_type            \n",
-       "             'MODE_SOLVER'.                                                     \n",
-       "
\n" + "
\n"
       ],
-      "text/plain": [
-       "\u001b[2;36m12:00:15 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'MZM mode solver'\u001b[0m with resource_id                    \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'mo-2cc0f904-09e7-4efd-a998-13eaae14f231'\u001b[0m and task_type            \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'MODE_SOLVER'\u001b[0m.                                                     \n"
-      ]
+      "text/plain": []
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1073,15 +1087,11 @@
     {
      "data": {
       "text/html": [
-       "
             View task using web UI at                                          \n",
-       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-\n",
-       "             4efd-a998-13eaae14f231'.                                           \n",
+       "
16:43:21 -03 starting up solver                                                 \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at \n", - "\u001b[2;36m \u001b[0m\u001b]8;id=776406;https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-4efd-a998-13eaae14f231\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=918486;https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-4efd-a998-13eaae14f231\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=776406;https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-4efd-a998-13eaae14f231\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=657276;https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-4efd-a998-13eaae14f231\u001b\\\u001b[32mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=776406;https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-4efd-a998-13eaae14f231\u001b\\\u001b[32m-2cc0f904-09e7-\u001b[0m\u001b]8;;\u001b\\\n", - "\u001b[2;36m \u001b[0m\u001b]8;id=776406;https://tidy3d.simulation.cloud/workbench?taskId=mo-2cc0f904-09e7-4efd-a998-13eaae14f231\u001b\\\u001b[32m4efd-a998-13eaae14f231'\u001b[0m\u001b]8;;\u001b\\. \n" + "\u001b[2;36m16:43:21 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver \n" ] }, "metadata": {}, @@ -1090,11 +1100,11 @@ { "data": { "text/html": [ - "
             Task folder: 'default'.                                            \n",
+       "
16:43:22 -03 running solver                                                     \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=753555;https://tidy3d.simulation.cloud/folders/folder-f9e994c1-6315-4b44-af3a-c2cb1435b23a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\. \n" + "\u001b[2;36m16:43:22 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver \n" ] }, "metadata": {}, @@ -1102,13 +1112,12 @@ }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "fc8a0663330b4348ac0312af96da45ea", - "version_major": 2, - "version_minor": 0 - }, + "text/html": [ + "
16:43:47 -03 status = success                                                   \n",
+       "
\n" + ], "text/plain": [ - "Output()" + "\u001b[2;36m16:43:47 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" ] }, "metadata": {}, @@ -1127,28 +1136,15 @@ { "data": { "text/html": [ - "
12:00:18 -03 Estimated FlexCredit cost: 0.015. Minimum cost depends on task     \n",
-       "             execution details. Use 'web.real_cost(task_id)' to get the billed  \n",
-       "             FlexCredit cost after a simulation run.                            \n",
+       "
             View simulation result at                                          \n",
+       "             'https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-\n",
+       "             4b4c-831a-b60d07f90466'.                                           \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m12:00:18 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m0.015\u001b[0m. Minimum cost depends on task \n", - "\u001b[2;36m \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n", - "\u001b[2;36m \u001b[0mFlexCredit cost after a simulation run. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
12:00:20 -03 status = success                                                   \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m12:00:20 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success \n" + "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0mView simulation result at \n", + "\u001b[2;36m \u001b[0m\u001b]8;id=549881;https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-4b4c-831a-b60d07f90466\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=96522;https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-4b4c-831a-b60d07f90466\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=549881;https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-4b4c-831a-b60d07f90466\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=4286;https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-4b4c-831a-b60d07f90466\u001b\\\u001b[4;34mmo\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=549881;https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-4b4c-831a-b60d07f90466\u001b\\\u001b[4;34m-083aec84-4655-\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[2;36m \u001b[0m\u001b]8;id=549881;https://tidy3d.simulation.cloud/workbench?taskId=mo-083aec84-4655-4b4c-831a-b60d07f90466\u001b\\\u001b[4;34m4b4c-831a-b60d07f90466'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m \n" ] }, "metadata": {}, @@ -1157,7 +1153,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "952482b8281845c195c6962c074d5aa1", + "model_id": "51eef9719c13454d88894739512aa753", "version_major": 2, "version_minor": 0 }, @@ -1181,11 +1177,11 @@ { "data": { "text/html": [ - "
12:00:39 -03 loading simulation from data/MZM_mode_data.hdf5                    \n",
+       "
16:44:13 -03 loading simulation from data/MZM_mode_data.hdf5                    \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m12:00:39 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/MZM_mode_data.hdf5 \n" + "\u001b[2;36m16:44:13 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/MZM_mode_data.hdf5 \n" ] }, "metadata": {}, @@ -1196,15 +1192,23 @@ "mzm_mode_data = web.run(mzm_solver, task_name=\"MZM mode solver\", path=\"data/MZM_mode_data.hdf5\")" ] }, + { + "cell_type": "markdown", + "id": "981f469e", + "metadata": {}, + "source": [ + "Visualizing the results:" + ] + }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 14, "id": "7d132394", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1214,7 +1218,12 @@ } ], "source": [ - "_ = mzm_solver.plot_field(\"Ey\", \"real\", f=rf_freqs[0], mode_index=0, robust=True)" + "# Visualize the RF mode\n", + "ax = mzm_solver.plot_field(\"E\", \"abs\", f=rf_freqs[0], mode_index=0, robust=True, shading=\"gouraud\")\n", + "ax.set_xlim(0, 15)\n", + "ax.set_ylim(-5, 10)\n", + "\n", + "plt.show()" ] }, { @@ -1222,18 +1231,18 @@ "id": "9bd87dcc", "metadata": {}, "source": [ - "Visualizing the results." + "We can now use the built-in [ImpedanceCalculator](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwave/_autosummary/tidy3d.plugins.microwave.ImpedanceCalculator.html) to calculate and visualize the impedance results." ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 15, "id": "a7147eea", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1263,31 +1272,23 @@ }, { "cell_type": "markdown", - "id": "f56ba019", + "id": "9381c163", "metadata": {}, "source": [ + "## Computation of Vπ·L \n", + "\n", "To calculate the Pockels effect, we apply an electric field along the LiNbO₃ cut direction to perturb the optical medium. First, we normalize the field by the applied voltage and shift its coordinates so they align with the optical simulation, where the dielectric waveguide is centered at y = 0." ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 16, "id": "82671b9d", "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1297,14 +1298,16 @@ } ], "source": [ - "v0 = WP1.voltage_integral.compute_voltage(mzm_solver.data)\n", + "# Compute voltage across the gap and normalize electric field\n", + "v0 = V_int.compute_voltage(mzm_solver.data)\n", "ey_norm = (mzm_solver.data.Ey / v0).isel(f=0, mode_index=0, drop=True).abs\n", "\n", + "# Shift coordinates to align with optical simulation (waveguide centered at y = 0)\n", "offset = cpw_width / 2 + cpw_gap / 2\n", "ey_norm = ey_norm.assign_coords(y=ey_norm.y - offset)\n", "\n", - "ey_norm.isel(x=0).transpose(\"z\", \"y\").plot(robust=True)\n", - "# _ = plt.gca().set(xlim=(-gap, gap), ylim=(-1, 4))" + "# Plot normalized electric field\n", + "_ = ey_norm.isel(x=0).transpose(\"z\", \"y\").plot(robust=True)" ] }, { @@ -1312,18 +1315,28 @@ "id": "eb1d41fe", "metadata": {}, "source": [ - "The normalized electric field is applied to the LiNbO₃ crystal along its z-axis, following the Pockels effect model:" + "The normalized electric field is applied to the LiNbO₃ crystal along its z-axis, following the Pockels effect model:\n", + "\n", + "\n", + "$$ \\Delta_n = -0.5 n_e^3 r_{33} E $$\n", + "\n", + "\n", + "Where:\n", + "- $\\Delta_n$: Index variation\n", + "- $n_e$: Extraordinary refractive index\n", + "- $r_{33}$: Pockels coefficient (30.9 pm/V) \n", + "- $E$: Normalized electric field from CPW (1V across gap)" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 17, "id": "c2e97084", "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlQAAAHHCAYAAAB5gsZZAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjcsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvTLEjVAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAZqBJREFUeJzt3XtcVHX+P/DXmYEZLjqABgwk3tJE846G2NVkxaQ2iy5uZOqipoGluHn5ZV66mZdNy0t2VWp1Letba2oY4q1WVhQlxRRrtUBx0BZhFAWGOZ/fHzhHhpvgzMBBX899fB4653zOZ97n5Mrbz+1IQggBIiIiIrpumqYOgIiIiKi5Y0JFRERE5CAmVEREREQOYkJFRERE5CAmVEREREQOYkJFRERE5CAmVEREREQOYkJFRERE5CAmVEREREQOYkJFRC7Vvn17SJIESZKQkJDQJDEsXbpUiUGSJPzxxx9NEgcR3biYUBHdJD7++GN07doVHh4e6Ny5M5YtW1bva0tLSzF9+nQEBwfD09MT4eHhSElJqff199xzDz777DOMGjXqekJ32NChQ/HZZ5/h0UcfbZLvJ6IbHxMqopvA+++/j7Fjx+KOO+7AsmXLEBERgRdeeAELFiyo1/WjR4/G22+/jdjYWLzzzjvQarUYNmwYfvzxx3pd37FjRzzzzDPo37+/I7dx3UJDQ/HMM8+gZ8+eTfL9RHTjc2vqAIjItS5fvoyXX34Z0dHR+PLLLwEA48aNgyzLeO211zB+/Hj4+fnVen16ejrWr1+PRYsW4W9/+xsA4Nlnn0X37t0xbdo07Nmzp1Hug4hIzdhDReQCly9fRmhoKEJDQ3H58mXleEFBAYKCgjBw4EBYrdZGiWXHjh343//+h+eff97ueHx8PIqLi7F58+Y6r//yyy+h1Woxfvx45ZiHhwfi4uKQlpaG3Nzc64przZo1kCQJv/32m93xnTt3QpIk7Ny5Uzl2//33o3v37jh06BDuu+8+eHl5oVOnTkqCuGvXLoSHh8PT0xNdunTBtm3brismIqLrxYSKyAU8PT2RlJSEX3/9FS+//LJyPD4+HkVFRVizZg20Wm2t18uyjD/++KNexWKx1BnLwYMHAQD9+vWzOx4WFgaNRqOcr+v622+/HQaDwe74nXfeCQDIzMys83pnOX/+PB566CGEh4dj4cKF0Ov1GDFiBD7//HOMGDECw4YNw1tvvYXi4mI8/vjjuHDhQqPERUQEcMiPyGXCw8Mxbdo0LFiwAI8++ijy8/Oxfv16LF26FLfffnud1+bk5KBDhw71+p4dO3bg/vvvr/X8mTNnoNVqERAQYHdcp9OhdevWyMvLq7P9M2fOICgoqNpx27FrXe8seXl5WLduHf7yl78AAP70pz8hNDQUTz/9NPbs2YPw8HAAQNeuXREVFYWvvvoKo0ePbpTYiIiYUBG50Ny5c7Fp0yaMGjUKFy9exH333YcXXnjhmtcZjcZ6r6Lr1atXnecvX74MnU5X4zkPDw+7Icnartfr9TVeazvfGFq0aIERI0Yon7t06QJfX1/ceuutSjIFQPn9iRMnGiUuIiKACRWRS+l0OnzyySfo378/PDw8sHr1akiSdM3rPDw8EBkZ6ZQYPD09UVZWVuO5kpISeHp6XvP60tLSGq+1nW8Mbdq0qfbsfHx8EBISUu0YUDFESETUWJhQEbnY1q1bAVQkIL/88ku9hvKsVivOnTtXr/ZbtWpVaw8UUDE0Z7VacfbsWbthv7KyMvzvf/9DcHBwne0HBQXh9OnT1Y6fOXMGAK55fW1qSyxrm6xf25yz2o4LIa4rLiKi68FJ6UQudOjQIbz66qsYM2YM+vTpg7Fjx6KoqOia1+Xm5iIoKKhe5VrbFvTu3RsAsH//frvj+/fvhyzLyvm6rj9+/DjMZrPd8b1799q131C2rRoKCwvtjv/+++/X1R4RUVNiDxWRi1gsFowePRrBwcF45513cPLkSfTv3x9TpkzBJ598Uue1zpxD9cADD6BVq1Z47733MGzYMOX4e++9By8vL0RHRyvHbCsH27ZtCy8vLwDA448/jsWLF+ODDz5Q9qEqLS3F6tWrER4eXm3Irb5uu+02AMDu3buVpMxqteKDDz64rvaIiJoSEyoiF3n99deRmZmJ1NRUtGzZEj179sTs2bMxa9YsPP7443bJTVXOnkP12muvIT4+Hk888QSioqLwww8/4B//+AfeeOMNtGrVSqm7fPlyzJs3z27lYHh4OJ544gnMnDkTZ8+eRadOnZCUlITffvsNH3/88XXHdccdd2DAgAGYOXMmCgoK0KpVK6xfvx7l5eWO3jIRUaNjQkXkAgcOHMCbb76JhIQEDBo0SDk+Y8YM/Otf/8K4ceNw5MgR+Pr6Nko8zz//PNzd3fH3v/8dGzduREhICJYsWYIXX3yxXtd/+umneOWVV/DZZ5/h/Pnz6NmzJzZt2oR7773XobjWrl2L5557Dm+99RZ8fX0RFxeHQYMG4U9/+pND7RIRNTZJcOYmEblQ+/btERERgWXLlsHT0xPe3t6NHkNJSQkuXryIhQsXYtGiRTh37hxuueWWRo+DiG5cnJRORC63fv16+Pv7Y/r06U3y/atWrYK/vz8WLVrUJN9PRDc+DvkRkUutXbtW2fzzeiewOyomJgbdu3dXPtv2qiIichYO+RERERE5iEN+REREVKMVK1agffv28PDwQHh4ONLT0+usv2HDBoSGhsLDwwM9evTAli1b7M4LITB79mwEBQXB09MTkZGR+OWXX+zqFBQUIDY2FgaDQVmscvHiRbs6hw4dwj333AMPDw+EhIRg4cKFDY7F2ZhQERERUTWff/45EhMTMWfOHBw4cAC9evVCVFQUzp49W2P9PXv24C9/+Qvi4uJw8OBBDB8+HMOHD0dWVpZSZ+HChXj33XexatUq7N27F97e3oiKilJeZQUAsbGxOHLkCFJSUrBp0ybs3r0b48ePV86bzWYMGTIE7dq1Q0ZGBhYtWoS5c+fa7WFXn1icThARERFVceedd4r4+Hjls9VqFcHBwWL+/Pk11n/yySdFdHS03bHw8HDx3HPPCSGEkGVZGI1GsWjRIuV8YWGh0Ov14p///KcQQoiff/5ZABD79u1T6nz33XdCkiRx+vRpIYQQK1euFH5+fqK0tFSpM336dNGlS5d6x+IKnJRehSzLyMvLQ8uWLev1ElsiIro5CSFw4cIFBAcHQ6Nx3YBPSUlJrS84byghRLWfbXq9Hnq93u5YWVkZMjIyMHPmTOWYRqNBZGQk0tLSamw7LS0NiYmJdseioqLwzTffAABOnjwJk8lkt2mxj48PwsPDkZaWhhEjRiAtLQ2+vr7o16+fUicyMhIajQZ79+7Fo48+irS0NNx777127zCNiorCggULcP78efj5+V0zFldgQlVFXl5ek61EIiKi5ic3Nxdt2rRxSdslJSXo0K4FTGdrfml4Q7Vo0aLafKQ5c+Zg7ty5dsf++OMPWK1WBAYG2h0PDAzEsWPHamzbZDLVWN9kMinnbcfqqlP5Je4A4ObmhlatWtnVqfqSeVubJpMJfn5+14zFFZhQVdGyZUsAwO8H2sPQglPMiIioZuaLMtr1/U35ueEKZWVlMJ214veM9jC0dOxnkvmCjHZhvyE3NxcGg0E5XrV3iq4PE6oqbF2hhhYaGFpqmzgaIiJSu8aYHtKipYQWLR37HhlXfr4ZDHYJVU1uueUWaLVa5Ofn2x3Pz8+H0Wis8Rqj0Vhnfduv+fn5CAoKsqtje0G60WisNum9vLwcBQUFdu3U9D2Vv+NasbgCu2CIiIhUzipkp5T60ul0CAsLQ2pqqnJMlmWkpqYiIiKixmsiIiLs6gNASkqKUr9Dhw4wGo12dcxmM/bu3avUiYiIQGFhITIyMpQ627dvhyzLCA8PV+rs3r0bFovF7nu6dOkCPz+/esXiCkyoiIiIVE6GcEppiMTERHz44YdISkrC0aNHMXHiRBQXF2PMmDEAgGeffdZu0vqLL76I5ORk/P3vf8exY8cwd+5c7N+/HwkJCQAqevImT56M119/HRs3bsThw4fx7LPPIjg4GMOHDwcAdO3aFUOHDsW4ceOQnp6Of//730hISMCIESMQHBwMAHj66aeh0+kQFxeHI0eO4PPPP8c777xjNwn9WrG4Aof8iIiIqJqnnnoK586dw+zZs2EymdC7d28kJycrk71zcnLsVjcOHDgQ69atw6xZs/D//t//Q+fOnfHNN9/YvfZp2rRpKC4uxvjx41FYWIi7774bycnJ8PDwUOqsXbsWCQkJGDx4MDQaDWJiYvDuu+8q5318fPD9998jPj4eYWFhuOWWWzB79my7varqE4uz8dUzVZjNZvj4+OD88Y6cQ0VERLUyX7DC7/YTKCoquuacpOv+jis/k/Ky2zhlUnpwl1Mujfdmxh4qIiIilbMKAauD/R+OXk914xwqIiIiIgexh4qIiEjlrmdSeU1tkOswoSIiIlI5GQJWJlSqxiE/IiIiIgexh4qIiEjlOOSnfkyoiIiIVI6r/NSPQ35EREREDmIPFRERkcrJV4qjbZDrMKEiIiJSOasTVvk5ej3VjQkVERGRyllFRXG0DXIdzqEiIiIichB7qIiIiFSOc6jUjwkVERGRysmQYIXkcBvkOhzyIyIiInIQe6iIiIhUThYVxdE2yHWYUBEREamc1QlDfo5eT3XjkB8RERGRg9hDRUREpHLsoVI/JlREREQqJwsJsnBwlZ+D11PdOORHRERE5CD2UBEREakch/zUjwkVERGRylmhgdXBQSWrk2KhmjGhIiIiUjnhhDlUgnOoXIpzqIiIiIgc1GwSKqvVildeeQUdOnSAp6cnbrvtNrz22msQ4urWr0IIzJ49G0FBQfD09ERkZCR++eWXJoyaiIjIcbY5VI4Wcp1mk1AtWLAA7733HpYvX46jR49iwYIFWLhwIZYtW6bUWbhwId59912sWrUKe/fuhbe3N6KiolBSUtKEkRMRETnGKjROKeQ6zWYO1Z49e/DII48gOjoaANC+fXv885//RHp6OoCK3qmlS5di1qxZeOSRRwAAn376KQIDA/HNN99gxIgRTRY7ERER3diaTbo6cOBApKam4vjx4wCAn376CT/++CMefPBBAMDJkydhMpkQGRmpXOPj44Pw8HCkpaXV2m5paSnMZrNdISIiUhMZEmRoHCwc8nOlZtNDNWPGDJjNZoSGhkKr1cJqteKNN95AbGwsAMBkMgEAAgMD7a4LDAxUztVk/vz5mDdvnusCJyIichD3oVK/ZtND9cUXX2Dt2rVYt24dDhw4gKSkJCxevBhJSUkOtTtz5kwUFRUpJTc310kRExER0c2i2fRQvfTSS5gxY4YyF6pHjx74/fffMX/+fIwaNQpGoxEAkJ+fj6CgIOW6/Px89O7du9Z29Xo99Hq9S2MnIiJyhDMmlVsrrYon52s2PVSXLl2CRmMfrlarhSzLAIAOHTrAaDQiNTVVOW82m7F3715EREQ0aqxERETOVDGHyvFCrtNseqgefvhhvPHGG2jbti3uuOMOHDx4EG+//Tb++te/AgAkScLkyZPx+uuvo3PnzujQoQNeeeUVBAcHY/jw4U0bPBEREd3Qmk1CtWzZMrzyyit4/vnncfbsWQQHB+O5557D7NmzlTrTpk1DcXExxo8fj8LCQtx9991ITk6Gh4dHE0ZORETkGNkJ7/KTwSE/V5KE4KBqZWazGT4+Pjh/vCMMLbVNHQ4REamU+YIVfrefQFFREQwGg2u+48rPpPWZ3eDl4M+kSxesGNH7Z5fGezNrNj1URERENyvbXlKOtcH+E1dqNpPSiYiIiNSKPVREREQqZxUSrMLBjT0dvJ7qxoSKiIhI5axOmJRu5ZCfS3HIj4iIiMhB7KEiIiJSOVloIDu4U7rMRf0uxYSKiIhI5Tjkp34c8iMiIiJyEHuoiIiIVE6G46v0ZOeEQrVgQkVERKRyztnYk4NSrsSnS0REROQg9lARERGpnFVoYHVwlZ+j11PdmFARERGpnAwJMhydQ8Wd0l2JCRUREZHKsYdK/fh0iYiIiBzEHioiIiKVc87GnuxDcSUmVERERConCwmyo/tQOXg91Y3pKhEREZGD2ENFRESkcrIThvy4sadrMaEiIiJSOVloIDu4Ss/R66lufLpEREREDmJCRUREpHJWSE4prlJQUIDY2FgYDAb4+voiLi4OFy9erPOakpISxMfHo3Xr1mjRogViYmKQn59vVycnJwfR0dHw8vJCQEAAXnrpJZSXl9vV2blzJ/r27Qu9Xo9OnTphzZo11b5rxYoVaN++PTw8PBAeHo709HS72CdNmoQuXbrA09MTbdu2xQsvvICioqIGPQMmVERERCpnG/JztLhKbGwsjhw5gpSUFGzatAm7d+/G+PHj67xmypQp+Pbbb7Fhwwbs2rULeXl5eOyxx5TzVqsV0dHRKCsrw549e5CUlIQ1a9Zg9uzZSp2TJ08iOjoagwYNQmZmJiZPnoyxY8di69atSp3PP/8ciYmJmDNnDg4cOIBevXohKioKZ8+eBQDk5eUhLy8PixcvRlZWFtasWYPk5GTExcU16BlIQgjRoCtucGazGT4+Pjh/vCMMLbVNHQ4REamU+YIVfrefQFFREQwGg2u+48rPpHl7I+HRwrFpzyUXyzEnfJvT4z169Ci6deuGffv2oV+/fgCA5ORkDBs2DKdOnUJwcHC1a4qKiuDv749169bh8ccfBwAcO3YMXbt2RVpaGgYMGIDvvvsODz30EPLy8hAYGAgAWLVqFaZPn45z585Bp9Nh+vTp2Lx5M7KyspS2R4wYgcLCQiQnJwMAwsPD0b9/fyxfvhwAIMsyQkJCMGnSJMyYMaPGe9qwYQOeeeYZFBcXw82tfs+dPVREREQqZ4Uzhv0qmM1mu1JaWupQbGlpafD19VWSKQCIjIyERqPB3r17a7wmIyMDFosFkZGRyrHQ0FC0bdsWaWlpSrs9evRQkikAiIqKgtlsxpEjR5Q6lduw1bG1UVZWhoyMDLs6Go0GkZGRSp2a2JLO+iZTABMqIiIi1XPmkF9ISAh8fHyUMn/+fIdiM5lMCAgIsDvm5uaGVq1awWQy1XqNTqeDr6+v3fHAwEDlGpPJZJdM2c7bztVVx2w24/Lly/jjjz9gtVprrFNbbH/88Qdee+21aw5ZVsVtE4iIiFTOmS9Hzs3NtRvy0+v1NdafMWMGFixYUGebR48edSgmtTGbzYiOjka3bt0wd+7cBl3LhIqIiOgmYjAY6jWHaurUqRg9enSddTp27Aij0ahM8LYpLy9HQUEBjEZjjdcZjUaUlZWhsLDQrpcqPz9fucZoNNqtxrOdt52z/Vp1ZWB+fj4MBgM8PT2h1Wqh1WprrFM1tgsXLmDo0KFo2bIlvv76a7i7u9d571VxyI+IiEjlBCTIDhbRwG0T/P39ERoaWmfR6XSIiIhAYWEhMjIylGu3b98OWZYRHh5eY9thYWFwd3dHamqqciw7Oxs5OTmIiIgAAERERODw4cN2yVpKSgoMBgO6deum1Knchq2OrQ2dToewsDC7OrIsIzU1VakDVPRMDRkyBDqdDhs3boSHh0eDnhXAhIqIiEj1bEN+jhZX6Nq1K4YOHYpx48YhPT0d//73v5GQkIARI0YoK/xOnz6N0NBQpcfJx8cHcXFxSExMxI4dO5CRkYExY8YgIiICAwYMAAAMGTIE3bp1w8iRI/HTTz9h69atmDVrFuLj45VhygkTJuDEiROYNm0ajh07hpUrV+KLL77AlClTlPgSExPx4YcfIikpCUePHsXEiRNRXFyMMWPGALiaTBUXF+Pjjz+G2WyGyWSCyWSC1WpFfTWrhOr06dN45pln0Lp1a3h6eqJHjx7Yv3+/cl4IgdmzZyMoKAienp6IjIzEL7/80oQRExER3fjWrl2L0NBQDB48GMOGDcPdd9+NDz74QDlvsViQnZ2NS5cuKceWLFmChx56CDExMbj33nthNBrxf//3f8p5rVaLTZs2QavVIiIiAs888wyeffZZvPrqq0qdDh06YPPmzUhJSUGvXr3w97//HR999BGioqKUOk899RQWL16M2bNno3fv3sjMzERycrIyUf3AgQPYu3cvDh8+jE6dOiEoKEgpubm59X4GzWYfqvPnz6NPnz4YNGgQJk6cCH9/f/zyyy+47bbbcNtttwEAFixYgPnz5yMpKQkdOnTAK6+8gsOHD+Pnn3+ud/cd96EiIqL6aMx9qKb++yHoWzRsTk9VpRct+Ptdm1wa782s2UxKX7BgAUJCQrB69WrlWIcOHZTfCyGwdOlSzJo1C4888ggA4NNPP0VgYCC++eYbjBgxotFjJiIicgYrNLA6OKjk6PVUt2bzdDdu3Ih+/frhiSeeQEBAAPr06YMPP/xQOX/y5EmYTCa7zbt8fHwQHh5e5+ZdpaWl1TY5IyIiImqIZpNQnThxAu+99x46d+6MrVu3YuLEiXjhhReQlJQE4OomXw3ZvAsA5s+fb7fBWUhIiOtugoiI6DrIQnJKIddpNgmVLMvo27cv3nzzTfTp0wfjx4/HuHHjsGrVKofanTlzJoqKipTSkAloREREjUGGximFXKfZPN2goCBl3wmbrl27IicnB8DVTb7qs3lXZXq9XtnkrL6bnRERERFV1mwSqrvuugvZ2dl2x44fP4527doBqJigbjQa7TbvMpvN2Lt3r93mXURERM2NVUhOKeQ6zWaV35QpUzBw4EC8+eabePLJJ5Geno4PPvhA2edCkiRMnjwZr7/+Ojp37qxsmxAcHIzhw4c3bfBEREQOcMYcKM6hcq1mk1D1798fX3/9NWbOnIlXX30VHTp0wNKlSxEbG6vUmTZtGoqLizF+/HgUFhbi7rvvRnJy8nVtIU9ERKQWQmggO7jTuXDRTulUodls7NlYuLEnERHVR2Nu7Dl+1xPQObixZ9lFCz64bwM39nSRZtNDRUREdLOyQoK1gS83rqkNch0mVERERConC8fnQMkcj3IpDqgSEREROYg9VERERConO2FSuqPXU92YUBEREamcDAmyg3OgHL2e6sZ0lYiIiMhB7KEiIiJSOWfsdM6d0l2LCRUREZHKcQ6V+vHpEhERETmIPVREREQqJ8MJ7/LjpHSXYkJFRESkcsIJq/wEEyqXYkJFRESkcrJwQg8VJ6W7FOdQERERETmIPVREREQqx1V+6seEioiISOU45Kd+TFeJiIiIHMQeKiIiIpXju/zUjwkVERGRynHIT/045EdERETkIPZQERERqRx7qNSPCRUREZHKMaFSPw75ERERETmIPVREREQqxx4q9WNCRUREpHICjm97IJwTCtWCCRUREZHKsYdK/TiHioiIiMhB7KEiIiJSOfZQqR8TKiIiIpVjQqV+HPIjIiIichB7qIiIiFSOPVTq12x7qN566y1IkoTJkycrx0pKShAfH4/WrVujRYsWiImJQX5+ftMFSURE5ARCSE4p5DrNMqHat28f3n//ffTs2dPu+JQpU/Dtt99iw4YN2LVrF/Ly8vDYY481UZRERER0s2h2CdXFixcRGxuLDz/8EH5+fsrxoqIifPzxx3j77bfxwAMPICwsDKtXr8aePXvwn//8pwkjJiIicowMySmFXKfZJVTx8fGIjo5GZGSk3fGMjAxYLBa746GhoWjbti3S0tIaO0wiIiKnsc2hcrSQ6zSrSenr16/HgQMHsG/fvmrnTCYTdDodfH197Y4HBgbCZDLV2mZpaSlKS0uVz2az2WnxEhER0c2h2fRQ5ebm4sUXX8TatWvh4eHhtHbnz58PHx8fpYSEhDitbSIiImfgpHT1azYJVUZGBs6ePYu+ffvCzc0Nbm5u2LVrF9599124ubkhMDAQZWVlKCwstLsuPz8fRqOx1nZnzpyJoqIipeTm5rr4ToiIiBqGQ37q12yG/AYPHozDhw/bHRszZgxCQ0Mxffp0hISEwN3dHampqYiJiQEAZGdnIycnBxEREbW2q9frodfrXRo7ERGRI5zRw8QeKtdqNglVy5Yt0b17d7tj3t7eaN26tXI8Li4OiYmJaNWqFQwGAyZNmoSIiAgMGDCgKUImIiKim0SzSajqY8mSJdBoNIiJiUFpaSmioqKwcuXKpg6LiIjIIcIJQ3bsoXKtZp1Q7dy50+6zh4cHVqxYgRUrVjRNQERERC4gAAjheBvkOs1mUjoRERGRWjXrHioiIqKbgQwJkoM7nXOndNdiQkVERKRyXOWnfhzyIyIiInIQe6iIiIhUThYSJAd7mLixp2sxoSIiIlI5IZywyo/L/FyKQ35EREREDmIPFRERkcpxUrr6sYeKiIhI5WwJlaPFVQoKChAbGwuDwQBfX1/ExcXh4sWLdV5TUlKC+Ph4tG7dGi1atEBMTAzy8/Pt6uTk5CA6OhpeXl4ICAjASy+9hPLycrs6O3fuRN++faHX69GpUyesWbOm2netWLEC7du3h4eHB8LDw5Genl5jTEIIPPjgg5AkCd98802DnkG9eqgOHTrUoEYBoFu3bnBzYwcYERGRo9Q+KT02NhZnzpxBSkoKLBYLxowZg/Hjx2PdunW1XjNlyhRs3rwZGzZsgI+PDxISEvDYY4/h3//+NwDAarUiOjoaRqMRe/bswZkzZ/Dss8/C3d0db775JgDg5MmTiI6OxoQJE7B27VqkpqZi7NixCAoKQlRUFADg888/R2JiIlatWoXw8HAsXboUUVFRyM7ORkBAgF1MS5cuhSRd33OShLj2NDWNRgNJklCPqkr948ePo2PHjtcVVFMym83w8fHB+eMdYWipbepwyMlkyE0dQpPRNGGHNJ873YjMF6zwu/0EioqKYDAYXPMdV34mdVk3A1ovvUNtWS+VIvvpt5we79GjR9GtWzfs27cP/fr1AwAkJydj2LBhOHXqFIKDg6tdU1RUBH9/f6xbtw6PP/44AODYsWPo2rUr0tLSMGDAAHz33Xd46KGHkJeXh8DAQADAqlWrMH36dJw7dw46nQ7Tp0/H5s2bkZWVpbQ9YsQIFBYWIjk5GQAQHh6O/v37Y/ny5QAAWZYREhKCSZMmYcaMGcp1mZmZeOihh7B//34EBQXh66+/xvDhw+v9HOr9//S9e/fi5MmT1ywnTpyAh4dHvQMgIiKiutlW+TlagIokrXIpLS11KLa0tDT4+voqyRQAREZGQqPRYO/evTVek5GRAYvFgsjISOVYaGgo2rZti7S0NKXdHj16KMkUAERFRcFsNuPIkSNKncpt2OrY2igrK0NGRoZdHY1Gg8jISKUOAFy6dAlPP/00VqxYAaPReF3PoV5jcvfddx86deoEX1/fejV67733wtPT87oCIiIiInsVCZGjk9Irfg0JCbE7PmfOHMydO/e62zWZTNWGztzc3NCqVSuYTKZar9HpdNXyisDAQOUak8lkl0zZztvO1VXHbDbj8uXLOH/+PKxWa411jh07pnyeMmUKBg4ciEceeaSed11dvRKqHTt2NKjRLVu2XFcwRERE5Fq5ubl2Q356fc1DiTNmzMCCBQvqbOvo0aNOja0pbNy4Edu3b8fBgwcdaoezxomIiFTOmdsmGAyGes2hmjp1KkaPHl1nnY4dO8JoNOLs2bN2x8vLy1FQUFDr8JnRaERZWRkKCwvteqny8/OVa4xGY7XVeLZVgJXrVF0ZmJ+fD4PBAE9PT2i1Wmi12hrr2NrYvn07/vvf/1brLYuJicE999yDnTt31vkMbBqcUAkh8OWXX2LHjh04e/YsZNl+sun//d//NbRJIiIiqoO4UhxtoyH8/f3h7+9/zXoREREoLCxERkYGwsLCAFQkKbIsIzw8vMZrwsLC4O7ujtTUVMTExAAAsrOzkZOTg4iICKXdN954A2fPnlWGFFNSUmAwGNCtWzelTtVRsZSUFKUNnU6HsLAwpKamKhPMZVlGamoqEhISAFT0xI0dO9aujR49emDJkiV4+OGHr3n/Ng1OqCZPnoz3338fgwYNQmBg4HUvLyQiIqLmr2vXrhg6dCjGjRuHVatWwWKxICEhASNGjFBW+J0+fRqDBw/Gp59+ijvvvBM+Pj6Ii4tDYmIiWrVqBYPBgEmTJiEiIgIDBgwAAAwZMgTdunXDyJEjsXDhQphMJsyaNQvx8fHKMOWECROwfPlyTJs2DX/961+xfft2fPHFF9i8ebMSX2JiIkaNGoV+/frhzjvvxNKlS1FcXIwxY8YAqOjlqqknrW3btujQoUO9n0ODE6rPPvsM//d//4dhw4Y19FIiIiK6DmrfKX3t2rVISEjA4MGDodFoEBMTg3fffVc5b7FYkJ2djUuXLinHlixZotQtLS1FVFQUVq5cqZzXarXYtGkTJk6ciIiICHh7e2PUqFF49dVXlTodOnTA5s2bMWXKFLzzzjto06YNPvroI2UPKgB46qmncO7cOcyePRsmkwm9e/dGcnJytYnqjqrXPlSVdejQAd999x1CQ0OdGohacB+qGxv3Q2oafO50I2rMfag6Jv0/aL0c25LIeqkEJ0a96dJ4b2YN/n/63LlzMW/ePFy+fNkV8RAREVFVznjtDN/l51INHvJ78skn8c9//hMBAQFo37493N3d7c4fOHDAacERERERNQcNTqhGjRqFjIwMPPPMM5yUTkRE1Agq73TuSBvkOg1OqDZv3oytW7fi7rvvdkU8REREVIXaJ6XTdcyhCgkJ4WQ2IiIiokoanFD9/e9/x7Rp0/Dbb7+5IBwiIiKqxjap3NFCLtPgIb9nnnkGly5dwm233QYvL69qk9ILCgqcFhxRc2UV6tsmwHpl6wKtVPe/o65nmX9d2yKo8VnYXOtZEKkF51CpX4MTqqVLl7ogDCIiIqLm67pW+REREVEjaoqX+VGDNDihysnJqfN827ZtrzsYIiIiqo6r/NSvwQlV+/bt69x7ymq1OhQQERERUXPT4ITq4MGDdp8tFgsOHjyIt99+G2+88YbTAiMiIqJKOGSnag1e4tKrVy+70q9fP4wbNw6LFy+2e7O0s82fPx/9+/dHy5YtERAQgOHDhyM7O9uuTklJCeLj49G6dWu0aNECMTExyM/Pd1lMREREjcHR9/g5Y8iQ6ua0NcNdunTBvn37nNVcNbt27UJ8fDz+85//ICUlBRaLBUOGDEFxcbFSZ8qUKfj222+xYcMG7Nq1C3l5eXjsscdcFhMREVGjEE4q5DINHvIzm812n4UQOHPmDObOnYvOnTs7LbCqkpOT7T6vWbMGAQEByMjIwL333ouioiJ8/PHHWLduHR544AEAwOrVq9G1a1f85z//wYABA1wWGxEREd3cGpxQ+fr6VpuULoRASEgI1q9f77TArqWoqAgA0KpVKwBARkYGLBYLIiMjlTqhoaFo27Yt0tLSak2oSktLUVpaqnyumjASERE1PelKcbQNcpUGJ1Q7duyw+6zRaODv749OnTrBza3BzV0XWZYxefJk3HXXXejevTsAwGQyQafTwdfX165uYGAgTCZTrW3Nnz8f8+bNc2W4REREjuE+VKrX4Azovvvuc0UcDRIfH4+srCz8+OOPDrc1c+ZMJCYmKp/NZjNCQkIcbpeIiIhuHvWalL5x40ZYLJZ6N7plyxZcvnz5uoOqS0JCAjZt2oQdO3agTZs2ynGj0YiysjIUFhba1c/Pz4fRaKy1Pb1eD4PBYFeIiIhUhZPSVa9ePVSPPvooTCYT/P3969XoiBEjkJmZiY4dOzoUXGVCCEyaNAlff/01du7ciQ4dOtidDwsLg7u7O1JTUxETEwMAyM7ORk5ODiIiIpwWB92cXPGCX7mWv93qetFwZdZrvOlUW8sGvOXCavcCZE3VeRWVPtb0omRbfDU9k6r3VPdLk68v/qpqe5lztfuqMYaG/Xfly5SpyQipojjaBrlMvRIqIQRGjx4NvV5fr0ZLSkocCqom8fHxWLduHf71r3+hZcuWyrwoHx8feHp6wsfHB3FxcUhMTESrVq1gMBgwadIkREREcIUfERERuVS9EqqGvhA5NjbW6UNn7733HgDg/vvvtzu+evVqjB49GgCwZMkSaDQaxMTEoLS0FFFRUVi5cqVT4yAiImpsQlQUR9sg16lXQrV69WpXx3FNoh5/Ejw8PLBixQqsWLGiESIiIiJqJFzlp3qcEEBERETkoMbZOIqIiIiuHyelqx4TKiIiIpWTREVxtA1yHSZUREREasc5VKrHOVREREREDrquHqrU1FSkpqbi7NmzkGX7jfE++eQTpwRG1JzVtmmnfZ2aN5WsuuFl5bas1TbOrON7ajlVseGlFdorG19W3gBTK0mQK32/u2S75uq/vWybYVb+bhkyrELUGGt9nkVNMVquXKatskFn9Y1Ia9uc89r/XqzP5p9EqsA5VKrX4IRq3rx5ePXVV9GvXz8EBQVBquduxkRERHSdOOSneg1OqFatWoU1a9Zg5MiRroiHiIiIqNlpcEJVVlaGgQMHuiIWIiIiqgl7qFSvwZPSx44di3Xr1rkiFiIiIqqJcFIhl2lwD1VJSQk++OADbNu2DT179oS7u7vd+bfffttpwRERERE1Bw1OqA4dOoTevXsDALKysuzOcYI6qZ3mencKaegfbVHbyrOraqtRdVWcpVLNyisAZVSspLOK6u1ZawhYe6Vd2xPQShUr6DSoWN0HAO5Co6zsq/i+KysBpavPzRZfqSiv9H0CFnF13WJNcdUVky0urWQ7LilxylX+XnGv8t+w6irAq+1d+z+aVmrYn4fr/vND5Ciu8lO9BidUO3bscEUcREREVAvulK5+Dv1z69SpUzh16pSzYiEiIiJqlhqcUMmyjFdffRU+Pj5o164d2rVrB19fX7z22mvVNvkkIiIiJ+CkdNVr8JDfyy+/jI8//hhvvfUW7rrrLgDAjz/+iLlz56KkpARvvPGG04MkIiIiUrMGJ1RJSUn46KOP8Oc//1k51rNnT9x66614/vnnmVARuZCl0j8xLaJiord85VcrJFiEBtYrHc9yDRNQNZKAFjK0EHCXbL8KuF9pt+qrbdwkbbU2bFPPK0+WtwiBEiEqxaO5EosEKzTXjKXi91fjqIgLV37PibREEpwwh8opkVBtGjzkV1BQgNDQ0GrHQ0NDUVBQ4JSgiIiIiJqTBidUvXr1wvLly6sdX758OXr16uWUoIiIiKgS27YJjhZymQYP+S1cuBDR0dHYtm0bIiIiAABpaWnIzc3Fli1bnB4gkRo0eP+hevy9JYua++81VYbdKu+nVHn4ywIBi6gY5iuDFhahgUW4oUxoYYEWFlHxf2/bXlJaSUADGTqpHB5SOdylcrhLMgwog222qvY6/74tExWxlAitEkuJcIdFaFEm3CBDUy0OrSTDHVboJKsSizcsSh3bvVbdT6r655r/29RnjynuK0XNBl89o3oN/tvkvvvuw/Hjx/Hoo4+isLAQhYWFeOyxx5CdnY177rnHFTESERERqVqDe6gAIDg4mJPPiYiIGgt7qFSvXgnVoUOH0L17d2g0Ghw6dKjOuj179nRKYEQ3utpejeJeZWVd5aHByl3Ktt/bVveVCHcUy3pckvUolvWwCC0s4mpbGklAJ5VDL1ngrSmFt6YUXlIZvLUWZXVdfbqsaxsms0JCGbQokd1wSehglj1xSdajRK4Y+rNCA+2VlYHukhUeGgs8JAu8rsQCWJShUk2lWKqu8qv6fOrzihmi5o47patfvRKq3r17w2QyISAgAL1794YkSRA1zP+QJAlWq9XpQRIRERGpWb0SqpMnT8Lf31/5PRHVrV6TnWvrWKnyYmX3SpOrK+8TJUO+MjG9Yg8ni9DiguyJgnJvXJA9UCq7wyJrlX2pKtqyoqW2BK3cLkIrCXhJZRX7UElXv6vy99U0sdvWI1T5JcU6SaBUVOwrJUODEqFDQXkLFFi9ccmqt+sp00KGu8YKL00ZWmhLrlxfDu8rsVR8lpQ43KvEULVHqrbJ55xwTjcUDvmpXr0Sqnbt2im///333zFw4EC4udlfWl5ejj179tjVJaLa1foDv2qiVekvQY9qSZgMaKwVv0DggtUD+RYfmMs9YBFayEJCudDCKiTIouL7DG4l0HjK8He7AJ1khYck4GFLXqC5ZiKirVTXRg8Bq8YKq2yFRapYqVdg9UZuSSsUl+sr7leS4S7J0EgyNJKAXlMOHzcdPCQLWmkvwkMqh/eV+9NLGnhcGdpzg/0QX9UEiokT3RSYUKlegyelDxo0CGfOnEFAQIDd8aKiIgwaNIhDfkQOqpogaCr3GFVOYiR3WIUMH1hh0cjw0RRiq7knDhbcCp3WCp3GCjeNDFlIKLG6odiiw8VSPUrK3DC4LfBIy8NopdHAS/JQen200rUTKtt5veRuF4uXsKKVRkaJsKCV9izWnLkL2ef84am3oKWuFN7uZdBprdBIAuWyBiVWN5TLGjxkvIwHvP4LX40bPCUPJY7angcRkRo1OKESQkCSqo9V/O9//4O3t7dTgiKimtWUbLnDDZ4SYNAAXx3uDa+WpfDzvoSWulIAFa+gKbNqUWJxx8VLepQVeOCdAfsAtHBqLPorSZCnBPhpgMM/doLlFgusfiVw18hwv5JMaSSBEqsbLpbpUXDRCy92/Q1AS4diIbrRcVK6+tU7oXrssccAVEw8Hz16NPR6vXLOarXi0KFDGDhwoPMjJKL6O6+D7F0Gd40VHtpy6DRW5T16pVY3aDQCUlnj9Ph4nwaKfDVw08rwcLPAy80CD225cr5U4warzN4nonpxxk7n3CndpeqdUPn4+ACo6KFq2bIlPD09lXM6nQ4DBgzAuHHjnB8h0U1GhlzrOYuw2tUrEVaUChklQuB0uTeeui8Nv19qBW+3MnhqLHC7klCVym4w6ErQUlcKc8tixOXehSdu2Yf2bucRqJWU+VDuktZu0re7VP2vCOXlyJVisQgrLJBxSVhxQdbgt3I/hP4lG6cu+qCVxyW00l+Ct1sp3CXbkJ8WF/U6BHmbMf9/t+Ne72O41a0YPpqK+VIeklbpAau6TUJVHBKkmwLnUKlevROq1atXAwDat2+Pv/3tb6oe3luxYgUWLVoEk8mEXr16YdmyZbjzzjubOiwiO7UlTtYqq/zKUTlxuXquRFhxSQgUCy0uyDoUyC0Q6G5GuacWIfr/VXyH0MAKSfnV4u2GoxeNaONRiEKrN0ySBe7SBXhIFd/hBVmZDA5cnbNVOWmxxVcqrvY2XRJWFAvgguyOQtkThVZvdPD+AxpJRtcWJrhryqGFgEaSlV8BILe0NVpoS1Agt4DWKgO4XHGf0tU4qj6nqpPUa1styUSLiBpTg+dQzZkzxxVxOM3nn3+OxMRErFq1CuHh4Vi6dCmioqKQnZ1dbSI9kRrJVf4Zaa2051tJpV4hWzJ1SXZHiaiYIO6jvQR3fTn83S4o79KzXlndp5Vk6CULvLSl8NKUQQsZFqHFJVlbsVIQFVsaVN5I0+1KMlN5YrwtPgsqJ3cCl2Q3FMs6WIQWWshoq/8f2ugK4KO9hFLhbheHu2SFx5XVgL7aS1facEexKLPd9ZVSw7v7qkwEqbv/iujGwDlU6levhKpv375ITU2Fn58f+vTpU+OkdJsDBw44Lbjr8fbbb2PcuHEYM2YMAGDVqlXYvHkzPvnkE8yYMaNJYyO6HlUTrJpoIeAhlcFXWwxvTSk0kgwPWOAuWe1eSgwAwe6F0EKGl6ZiCK7h8VQkUtYaNve1vfDYS1MxId62B5a+0i7oFS8+rtg+wehWBHepHB5SGbS13Gd97p/ohschP9WrV0L1yCOPKJPQhw8f7sp4HFJWVoaMjAzMnDlTOabRaBAZGYm0tLQaryktLUVpaany2Ww2uzxOuvHVNQ/KpurQXm3X2m/maU8LoSRFGlSspLMKDWRIsEKj9Aop9SW5IpmBuLIHlQXuUu3f1xDukgwPVAztaTUCHpKlXnHYkjCdZLVLqmxRVY2n2vOpbaJtPebfcliQiJylXn+bzJkzB15eXsrv6ypN6Y8//oDVakVgYKDd8cDAQJhMphqvmT9/Pnx8fJQSEhLSGKESOUVFQnVlCE1TDg/JcqVU/n1F8daUKudsv3e/ksTYSkWbklLq/G5JUoqmaixV4rj63ZaaY9SU28VCRFWIq8N+11tc+X+tgoICxMbGwmAwwNfXF3Fxcbh48WKd15SUlCA+Ph6tW7dGixYtEBMTg/z8fLs6OTk5iI6OhpeXFwICAvDSSy+hvLzcrs7OnTvRt29f6PV6dOrUCWvWrKn2XStWrED79u3h4eGB8PBwpKenV6uTlpaGBx54AN7e3jAYDLj33ntx+fLlej+DBv/zLDc3F6dOnVI+p6enY/Lkyfjggw8a2pQqzJw5E0VFRUrJzc1t6pCIaqWpWiRABxkekvVKglKuJFbeUpnyEmRvTWnFZ6kMXpoyeEjl8NJY4CFZlVfPuEvX8RfCFVoJcJeEEouXxgJvTcV32b63aiy2REqJW7JCI1XcU+V7JCJcHfJztLhIbGwsjhw5gpSUFGzatAm7d+/G+PHj67xmypQp+Pbbb7Fhwwbs2rULeXl5yhZNQMWWTNHR0SgrK8OePXuQlJSENWvWYPbs2UqdkydPIjo6GoMGDUJmZiYmT56MsWPHYuvWrUod29zqOXPm4MCBA+jVqxeioqJw9uxZpU5aWhqGDh2KIUOGID09Hfv27UNCQgI0mvr/LSSJmt5yXId77rkH48ePx8iRI2EymXD77beje/fu+OWXXzBp0iS7G21sZWVl8PLywpdffmk3NDlq1CgUFhbiX//61zXbMJvN8PHxwfnjHWFoyemudH0cGfKrvKoPsJ+Ibr/KT8ACCbIArJAqVvEJDazQKHtPWSv1Mtl6fjRX5jC5X1lx5yHJV9/lB8lulZ/nld3QK2+fcFlUDJFfqrTKr0TIsAjAIiSHYrG9y88dAh5X5mpWfZefR5VtFKqt+rN9Ry3v+KuMQ37kCPMFK/xuP4GioiIYDAbXfMeVn0kdZ70JrYeHQ21ZS0pw4vX/5/R4jx49im7dumHfvn3o168fACA5ORnDhg3DqVOnEBwcXO2aoqIi+Pv7Y926dXj88ccBAMeOHUPXrl2RlpaGAQMG4LvvvsNDDz2EvLw8ZeRp1apVmD59Os6dOwedTofp06dj8+bNyMrKUtoeMWIECgsLkZycDAAIDw9H//79sXz5cgCALMsICQnBpEmTlLnVAwYMwJ/+9Ce89tpr1/0cGvy3SVZWlrIFwRdffIEePXpgz549WLt2bY3dbI1Jp9MhLCwMqampyjFZlpGamoqIiIgmjIyaO7mB/6tfm6LGUlXlIbjKw2w6SYL7lSTEQ5LhIcnwlsrhLVnQUlNWazFIZWipKYe3ZIWXJMNDkuCOK0XSQANJKTXRXPmfu12R4CFJ0EsCXpIMb8mKlpryK99VdyzeUrkSvzsE3CGgq3SfdvdfQ0z1fY6N9d+VyCWc2ENlNpvtSuV5xNcjLS0Nvr6+SjIFAJGRkdBoNNi7d2+N12RkZMBisSAyMlI5FhoairZt2ypzntPS0tCjRw+7aTxRUVEwm804cuSIUqdyG7Y6tjZsc6sr16k6t/rs2bPYu3cvAgICMHDgQAQGBuK+++7Djz/+2KDn0OBtEywWizJBfdu2bfjzn/8MoOJBnDlzpqHNOV1iYiJGjRqFfv364c4778TSpUtRXFysrPojagy19T45yn7TzYp/EdlN3pZqXn1XmVbClcTkytwn6WryZEvartat/m8uW137WDSQIZR/ockNjMf23RrlWO0JXX3V579BfXqxiNTAmdsmVJ0rPGfOHMydO/e62zWZTNW2JXJzc0OrVq1qnb9sMpmg0+ng6+trd7zynGeTyVTjnGjbubrqmM1mXL58GefPn691bvWxY8cAACdOnAAAzJ07F4sXL0bv3r3x6aefYvDgwcjKykLnzp3r9RwanFDdcccdWLVqFaKjo5GSkqJ0j+Xl5aF169YNbc7pnnrqKZw7dw6zZ8+GyWRC7969kZycXO1hEhER3Yxyc3Pthvwqv0qushkzZmDBggV1tnX06FGnxtYUZLniH1/PPfec0vnSp08fpKam4pNPPsH8+fPr1U6DE6oFCxbg0UcfxaJFizBq1Cj06tULALBx40bV7EaekJCAhISEpg6DyCkq99RU/r0Mocx9stta4BodO9oa2rP1SlUM5l1rdd+VV8Kg8o7qUkVPlHQ1NhtrA/5ZXVNsRORcBoOhXnOopk6ditGjR9dZp2PHjjAajXYTvAGgvLwcBQUFMBqNNV5nNBpRVlaGwsJCu16q/Px85Rqj0VhtNZ5tFWDlOlVXBubn58NgMMDT0xNarRZarbbGOrY2goKCAADdunWzq9O1a1fk5OTUef+VNTihuv/++/HHH3/AbDbDz89POT5+/HhlawUiIiJyoibY2NPf3x/+/v7XrBcREYHCwkJkZGQgLCwMALB9+3bIsozw8PAarwkLC4O7uztSU1MRExMDAMjOzkZOTo4y5zkiIgJvvPEGzp49qwwppqSkwGAwKMlPREQEtmzZYtd2SkqK0kbludW2xWq2udW2jpf27dsjODgY2dnZdu0cP34cDz744DXv36bBCRUAaLValJeXKxO2unTpgvbt219PU0RERHQNan71TNeuXTF06FCMGzcOq1atgsViQUJCAkaMGKGs8Dt9+jQGDx6MTz/9FHfeeSd8fHwQFxeHxMREtGrVCgaDAZMmTUJERAQGDBgAABgyZAi6deuGkSNHYuHChTCZTJg1axbi4+OVYcoJEyZg+fLlmDZtGv76179i+/bt+OKLL7B582YlvmvNrZYkCS+99BLmzJmDXr16oXfv3khKSsKxY8fw5Zdf1vs5NDihKi4uxqRJk/Dpp58q445arRbPPvssli1bxl4qUrXmsFKr2lL+SjuZV57gXdNQYE2r22obOqs8zFdb3bq2FbCvq4FGuvp8lSHAGtpsSIyV46xPTK52PX9+uDUD3QzWrl2LhIQEDB48GBqNBjExMXj33XeV8xaLBdnZ2bh06ZJybMmSJUrd0tJSREVFYeXKlcp5rVaLTZs2YeLEiYiIiIC3tzdGjRqFV199VanToUMHbN68GVOmTME777yDNm3a4KOPPkJUVJRSpz5zqydPnoySkhJMmTIFBQUF6NWrF1JSUnDbbbfV+xk0eB+q5557Dtu2bcPy5ctx1113AQB+/PFHvPDCC/jTn/6E9957ryHNqQ73obqxNVZCVZ8VZg1Z2n+13bqvcXZCVXn/qarxVL5H2/fWJ9bGSqjqMwerMVb5MaG6cTXmPlSdZrwJrd7BfahKS/DrW87fh4oqNLiH6quvvsKXX36J+++/Xzk2bNgweHp64sknn2z2CRUREZHq8OXIqtfghOrSpUs1bkEQEBBg15VHRHWrrQelag+OXQ+HVHfP17Xev1dTb0nVOOrba2NXT+mtqtTbVanZyj1X14qxenx1x8PVgESkBg3ui46IiMCcOXNQUlKiHLt8+TLmzZvH3ciJiIhcwNEXIztjUjvVrcE9VO+88w6ioqLQpk0bZQ+qn376CR4eHnYvIyQiIiIn4ZCf6jU4obK9CHnt2rXKtu1/+ctfEBsbC09PT6cHSERERKR217UPlZeXF8aNG+fsWIiIiKgGat6HiipcV0KVnZ2NZcuWKe/w6dq1KxISEhAaGurU4IhuRnXt29TQJfjXs3XAtSeBa67EVWmi+ZU2tKh5ywgN7Lcgqe+WETV/Pyeh002IQ36q1+BJ6V999RW6d++OjIwM9OrVC7169cKBAwfQo0cPfPXVV66IkYiIiEjVGtxDNW3aNMycOdNup1IAmDNnDqZNm6a8k4eIiIichD1UqtfgHqozZ87g2WefrXb8mWeewZkzZ5wSFBEREV3FbRPUr8EJ1f33348ffvih2vEff/wR99xzj1OCIiIiokqEkwq5TIOH/P785z9j+vTpyMjIUN4I/Z///AcbNmzAvHnzsHHjRru6RERERDe6Br8cWaOpX6eWJEmwWq3XFVRT4suRb2yN9XJkR9Tnxcq1ud6X/TrjBb6OPNumuOfGwpcj37ga8+XIXV50zsuRs9/hy5FdpcE9VLKs/h9IRERENxLuQ6V+/KcTERERkYOua2NPIiIiakTcNkH1mFARERGpHIf81I9DfkREREQOYg8VERGR2nHIT/Ua3EP1wAMPYN68edWOnz9/Hg888IBTgiIiIqJKuLGn6jW4h2rnzp04fPgwDh48iLVr18Lb2xsAUFZWhl27djk9QCIiIiK1u645VNu2bYPJZMKAAQPw22+/OTkkIiIiqkxyUiHXua45VEFBQdi1axfGjBmD/v37Y8OGDejatauzYyNyuuvdtboxd1h35s7fjblLd32/q6Znqfbdzm246zk1Gc6hUr0G/+0gSRU5rl6vx7p16/Diiy9i6NChWLlypdODIyIioqvbJjhayHUa3ENV9dV/s2bNQteuXTFq1CinBUVERETUnDQ4oTp58iT8/f3tjsXExCA0NBT79+93WmBERER0BYf8VK/BQ37t2rVThv0qu+OOO1zWS/Xbb78hLi4OHTp0gKenJ2677TbMmTMHZWVldvUOHTqEe+65Bx4eHggJCcHChQtdEg8REVGj45YJqtYsNvY8duwYZFnG+++/j06dOiErKwvjxo1DcXExFi9eDAAwm80YMmQIIiMjsWrVKhw+fBh//etf4evri/HjxzfxHRAREdGNrFkkVEOHDsXQoUOVzx07dkR2djbee+89JaFau3YtysrK8Mknn0Cn0+GOO+5AZmYm3n77bSZURETUrPFdfurXbNcAFxUVoVWrVsrntLQ03HvvvdDpdMqxqKgoZGdn4/z587W2U1paCrPZbFeIiIhUhTulq16zTKh+/fVXLFu2DM8995xyzGQyITAw0K6e7bPJZKq1rfnz58PHx0cpISEhrgmaiIiIblhNmlDNmDEDkiTVWY4dO2Z3zenTpzF06FA88cQTGDdunMMxzJw5E0VFRUrJzc11uE0iIiJn4j5U6tekc6imTp2K0aNH11mnY8eOyu/z8vIwaNAgDBw4EB988IFdPaPRiPz8fLtjts9Go7HW9vV6PfR6fQMjJyIiakTcNkH1mjSh8vf3r7anVW1Onz6NQYMGISwsDKtXr4ZGY9+5FhERgZdffhkWiwXu7u4AgJSUFHTp0gV+fn5Oj52IiIjIplms8jt9+jTuv/9+tGvXDosXL8a5c+eUc7bep6effhrz5s1DXFwcpk+fjqysLLzzzjtYsmRJU4VNNxC+w815+CyJGo6r/NSvWSRUKSkp+PXXX/Hrr7+iTZs2dudsr8Lx8fHB999/j/j4eISFheGWW27B7NmzuWUCERE1fxzyU71mkVCNHj36mnOtAKBnz5744YcfXB8QERFRY2JCpXrseyciIiJyULPooSIiIrqZcQ6V+jGhIiIiUjsO+akeh/yIiIiIHMQeKiIiIpWThIAkHOticvR6qhsTKiIiIrXjkJ/qcciPiIiIyEHsoSIiIlI5rvJTPyZUREREaschP9XjkB8RERGRg9hDRUREpHIc8lM/JlRERERqxyE/1WNCRUREpHLsoVI/zqEiIiIichB7qIiIiNSOQ36qx4SKiIioGeCQnbpxyI+IiIjIQeyhIiIiUjshKoqjbZDLMKEiIiJSOa7yUz8O+RERERE5iAkVERGR2gknFRcpKChAbGwsDAYDfH19ERcXh4sXL9Z5TUlJCeLj49G6dWu0aNECMTExyM/Pt6uTk5OD6OhoeHl5ISAgAC+99BLKy8vt6uzcuRN9+/aFXq9Hp06dsGbNmmrftWLFCrRv3x4eHh4IDw9Henq63XmTyYSRI0fCaDTC29sbffv2xVdffdWgZ8CEioiISOUk2TnFVWJjY3HkyBGkpKRg06ZN2L17N8aPH1/nNVOmTMG3336LDRs2YNeuXcjLy8Njjz2mnLdarYiOjkZZWRn27NmDpKQkrFmzBrNnz1bqnDx5EtHR0Rg0aBAyMzMxefJkjB07Flu3blXqfP7550hMTMScOXNw4MAB9OrVC1FRUTh79qxS59lnn0V2djY2btyIw4cP47HHHsOTTz6JgwcP1vsZSEJwllplZrMZPj4+OH+8IwwttU0dDhERqZT5ghV+t59AUVERDAaDa77jys+k/o++Djd3D4faKreUYN/Xs5we79GjR9GtWzfs27cP/fr1AwAkJydj2LBhOHXqFIKDg6tdU1RUBH9/f6xbtw6PP/44AODYsWPo2rUr0tLSMGDAAHz33Xd46KGHkJeXh8DAQADAqlWrMH36dJw7dw46nQ7Tp0/H5s2bkZWVpbQ9YsQIFBYWIjk5GQAQHh6O/v37Y/ny5QAAWZYREhKCSZMmYcaMGQCAFi1a4L333sPIkSOVdlq3bo0FCxZg7Nix9XoO7KEiIiJSOxUP+aWlpcHX11dJpgAgMjISGo0Ge/furfGajIwMWCwWREZGKsdCQ0PRtm1bpKWlKe326NFDSaYAICoqCmazGUeOHFHqVG7DVsfWRllZGTIyMuzqaDQaREZGKnUAYODAgfj8889RUFAAWZaxfv16lJSU4P7776/3c+AqPyIiIpVz5io/s9lsd1yv10Ov1193uyaTCQEBAXbH3Nzc0KpVK5hMplqv0el08PX1tTseGBioXGMymeySKdt527m66pjNZly+fBnnz5+H1Wqtsc6xY8eUz1988QWeeuoptG7dGm5ubvDy8sLXX3+NTp061fMpsIeKiIhI/Wz7UDlaAISEhMDHx0cp8+fPr/ErZ8yYAUmS6iyVk5Lm7JVXXkFhYSG2bduG/fv3IzExEU8++SQOHz5c7zbYQ0VERHQTyc3NtZtDVVvv1NSpUzF69Og62+rYsSOMRqPdBG8AKC8vR0FBAYxGY43XGY1GlJWVobCw0K6XKj8/X7nGaDRWW41nWwVYuU7VlYH5+fkwGAzw9PSEVquFVqutsY6tjf/+979Yvnw5srKycMcddwAAevXqhR9++AErVqzAqlWr6nwGNuyhIiIiUjnbkJ+jBQAMBoNdqS2h8vf3R2hoaJ1Fp9MhIiIChYWFyMjIUK7dvn07ZFlGeHh4jW2HhYXB3d0dqampyrHs7Gzk5OQgIiICABAREYHDhw/bJWspKSkwGAzo1q2bUqdyG7Y6tjZ0Oh3CwsLs6siyjNTUVKXOpUuXAFTMrapMq9VCluu/NJIJFRERkdqpeFJ6165dMXToUIwbNw7p6en497//jYSEBIwYMUJZ4Xf69GmEhoYqPU4+Pj6Ii4tDYmIiduzYgYyMDIwZMwYREREYMGAAAGDIkCHo1q0bRo4ciZ9++glbt27FrFmzEB8frySBEyZMwIkTJzBt2jQcO3YMK1euxBdffIEpU6Yo8SUmJuLDDz9EUlISjh49iokTJ6K4uBhjxowBUDEZvlOnTnjuueeQnp6O//73v/j73/+OlJQUDB8+vN7PgUN+RERE5JC1a9ciISEBgwcPhkajQUxMDN59913lvMViQXZ2ttIbBABLlixR6paWliIqKgorV65Uzmu1WmzatAkTJ05EREQEvL29MWrUKLz66qtKnQ4dOmDz5s2YMmUK3nnnHbRp0wYfffQRoqKilDpPPfUUzp07h9mzZ8NkMqF3795ITk5WJqq7u7tjy5YtmDFjBh5++GFcvHgRnTp1QlJSEoYNG1bvZ9Ds9qEqLS1FeHg4fvrpJxw8eBC9e/dWzh06dAjx8fHYt28f/P39MWnSJEybNq1B7XMfKiIiqo/G3IdqQPRrTtmH6j+bX3FpvDezZjfkN23atBo3CTObzRgyZAjatWuHjIwMLFq0CHPnzsUHH3zQBFESERE5kRNX+ZFrNKshv++++w7ff/89vvrqK3z33Xd259auXYuysjJ88skn0Ol0uOOOO5CZmYm33377mtvfExERETmi2fRQ5efnY9y4cfjss8/g5eVV7XxaWhruvfde6HQ65VhUVBSys7Nx/vz5xgyViIjIqZy5yo9co1kkVEIIjB49GhMmTLDb2r6y+uyoWpPS0lKYzWa7QkREpCoqXuVHFZo0oarvLqzLli3DhQsXMHPmTKfHMH/+fLsdY0NCQpz+HURERHRja9I5VPXdhXX79u1IS0urtvlYv379EBsbi6SkpFp3SwVQ606tADBz5kwkJiYqn81mM5MqIiJSFWe+y49co0kTKn9/f/j7+1+z3rvvvovXX39d+ZyXl4eoqCh8/vnnyi6sERERePnll2GxWODu7g6gYrfULl26wM/Pr9a2HX0pJBERkcvJoqI42ga5TLNY5de2bVu7zy1atAAA3HbbbWjTpg0A4Omnn8a8efMQFxeH6dOnIysrC++88w6WLFnS6PESERE5lTPmQDGfcqlmkVDVh4+PD77//nvEx8cjLCwMt9xyC2bPns0tE4iIiMjlmmVC1b59e9S0wXvPnj3xww8/NEFEREREriPBCXOonBIJ1aZZJlREREQ3FWfsdM6d0l2qWexDRURERKRm7KEiIiJSOW6boH5MqIiIiNSOq/xUj0N+RERERA5iDxUREZHKSUJAcnBSuaPXU92YUBEREamdfKU42ga5DIf8iIiIiBzEHioiIiKV45Cf+jGhIiIiUjuu8lM9JlRERERqx53SVY9zqIiIiIgcxB4qIiIileNO6erHhIqIiEjtOOSnehzyIyIiInIQe6iIiIhUTpIriqNtkOswoSIiIlI7DvmpHof8iIiIiBzEHioiIiK148aeqseEioiISOX46hn145AfERERkYPYQ0VERKR2nJSuekyoiIiI1E4AcHTbA+ZTLsWEioiISOU4h0r9OIeKiIiIyEHsoSIiIlI7ASfMoXJKJFQLJlRERERqx0npqschPyIiIiIHsYeKiIhI7WQAkhPaIJdhQkVERKRyXOWnfhzyIyIiInJQs0qoNm/ejPDwcHh6esLPzw/Dhw+3O5+Tk4Po6Gh4eXkhICAAL730EsrLy5smWCIiImexTUp3tJDLNJshv6+++grjxo3Dm2++iQceeADl5eXIyspSzlutVkRHR8NoNGLPnj04c+YMnn32Wbi7u+PNN99swsiJiIgcxFV+qtcsEqry8nK8+OKLWLRoEeLi4pTj3bp1U37//fff4+eff8a2bdsQGBiI3r1747XXXsP06dMxd+5c6HS6pgidiIiIbgLNYsjvwIEDOH36NDQaDfr06YOgoCA8+OCDdj1UaWlp6NGjBwIDA5VjUVFRMJvNOHLkSK1tl5aWwmw22xUiIiJV4ZCf6jWLhOrEiRMAgLlz52LWrFnYtGkT/Pz8cP/996OgoAAAYDKZ7JIpAMpnk8lUa9vz58+Hj4+PUkJCQlx0F0RERNdJdlIhl2nShGrGjBmQJKnOcuzYMchyxZ+Cl19+GTExMQgLC8Pq1ashSRI2bNjgUAwzZ85EUVGRUnJzc51xa0RERE5j2zbB0UKu06RzqKZOnYrRo0fXWadjx444c+YMAPs5U3q9Hh07dkROTg4AwGg0Ij093e7a/Px85Vxt9Ho99Hr99YRPREREBKCJEyp/f3/4+/tfs15YWBj0ej2ys7Nx9913AwAsFgt+++03tGvXDgAQERGBN954A2fPnkVAQAAAICUlBQaDwS4RIyIiana4yk/1msUqP4PBgAkTJmDOnDkICQlBu3btsGjRIgDAE088AQAYMmQIunXrhpEjR2LhwoUwmUyYNWsW4uPj2QNFRETNmywAycGESGZC5UrNIqECgEWLFsHNzQ0jR47E5cuXER4eju3bt8PPzw8AoNVqsWnTJkycOBERERHw9vbGqFGj8OqrrzZx5ERERHSjazYJlbu7OxYvXozFixfXWqddu3bYsmVLI0ZFRETUCDjkp3rNJqEiIiK6eTljHykmVK7ULPahIiIiIlIz9lARERGpHYf8VI8JFRERkdrJAg4P2XGVn0txyI+IiIjIQeyhIiIiUjshVxRH2yCXYQ8VERGR2tnmUDlaXKSgoACxsbEwGAzw9fVFXFwcLl68WOc1JSUliI+PR+vWrdGiRQvExMQor4yzycnJQXR0NLy8vBAQEICXXnoJ5eXldnV27tyJvn37Qq/Xo1OnTlizZo3d+d27d+Phhx9GcHAwJEnCN998Uy0WIQRmz56NoKAgeHp6IjIyEr/88kuDngETKiIiIrWThXOKi8TGxuLIkSNISUnBpk2bsHv3bowfP77Oa6ZMmYJvv/0WGzZswK5du5CXl4fHHntMOW+1WhEdHY2ysjLs2bMHSUlJWLNmDWbPnq3UOXnyJKKjozFo0CBkZmZi8uTJGDt2LLZu3arUKS4uRq9evbBixYpaY1m4cCHeffddrFq1Cnv37oW3tzeioqJQUlJS72cgCcFp/5WZzWb4+Pjg/PGOMLTUNnU4RESkUuYLVvjdfgJFRUUwGAyu+Y4rP5Mib50AN41jr1Erl0ux7fQqp8d79OhRdOvWDfv27UO/fv0AAMnJyRg2bBhOnTqF4ODgatcUFRXB398f69atw+OPPw4AOHbsGLp27Yq0tDQMGDAA3333HR566CHk5eUhMDAQALBq1SpMnz4d586dg06nw/Tp07F582ZkZWUpbY8YMQKFhYVITk6u9r2SJOHrr7/G8OHDlWNCCAQHB2Pq1Kn429/+psQXGBiINWvWYMSIEfV6DuyhIiIiUjsnDvmZzWa7Ulpa6lBoaWlp8PX1VZIpAIiMjIRGo8HevXtrvCYjIwMWiwWRkZHKsdDQULRt2xZpaWlKuz169FCSKQCIioqC2WzGkSNHlDqV27DVsbVRHydPnoTJZLJrx8fHB+Hh4Q1qhwkVERGR2gk4IaGqaCokJAQ+Pj5KmT9/vkOhmUwmBAQE2B1zc3NDq1atYDKZar1Gp9PB19fX7nhgYKByjclkskumbOdt5+qqYzabcfny5XrHX7ntmmKpD67yIyIiuonk5ubaDfnp9TUPJc6YMQMLFiyos62jR486NbbmjAkVERGR2jlxp3SDwVCvOVRTp07F6NGj66zTsWNHGI1GnD171u54eXk5CgoKYDQaa7zOaDSirKwMhYWFdr1U+fn5yjVGoxHp6el219lWAVauU3VlYH5+PgwGAzw9Pa95j5Xbys/PR1BQkF07vXv3rlcbAIf8iIiI1E+WnVMawN/fH6GhoXUWnU6HiIgIFBYWIiMjQ7l2+/btkGUZ4eHhNbYdFhYGd3d3pKamKseys7ORk5ODiIgIAEBERAQOHz5sl6ylpKTAYDCgW7duSp3Kbdjq2Nqojw4dOsBoNNq1YzabsXfv3ga1w4SKiIiIrlvXrl0xdOhQjBs3Dunp6fj3v/+NhIQEjBgxQlnhd/r0aYSGhio9Tj4+PoiLi0NiYiJ27NiBjIwMjBkzBhERERgwYAAAYMiQIejWrRtGjhyJn376CVu3bsWsWbMQHx+vDFNOmDABJ06cwLRp03Ds2DGsXLkSX3zxBaZMmaLEd/HiRWRmZiIzMxNAxST0zMxM5OTkAKhY+Td58mS8/vrr2LhxIw4fPoxnn30WwcHBdqsBr4VDfkRERGqn8pcjr127FgkJCRg8eDA0Gg1iYmLw7rvvKuctFguys7Nx6dIl5diSJUuUuqWlpYiKisLKlSuV81qtFps2bcLEiRMREREBb29vjBo1Cq+++qpSp0OHDti8eTOmTJmCd955B23atMFHH32EqKgopc7+/fsxaNAg5XNiYiIAYNSoUcomoNOmTUNxcTHGjx+PwsJC3H333UhOToaHh0e9nwH3oaqC+1AREVF9NOo+VLf8FW4anUNtlctl2PbHJy6N92bGIT8iIiIiB3HIj4iISO1kAWUjKYfaIFdhQkVERKRyQsgQomGr9Gpqg1yHCRUREZHaCSe83JhTpl2Kc6iIiIiIHMQeKiIiIrUTTphDxR4ql2JCRUREpHayDEgOzoHiHCqX4pAfERERkYPYQ0VERKR2HPJTPSZUREREKidkGcLBIT9um+BaHPIjIiIichB7qIiIiNSOQ36qx4SKiIhI7WQBSEyo1KzZDPkdP34cjzzyCG655RYYDAbcfffd2LFjh12dnJwcREdHw8vLCwEBAXjppZdQXl7eRBETERHRzaLZJFQPPfQQysvLsX37dmRkZKBXr1546KGHYDKZAABWqxXR0dEoKyvDnj17kJSUhDVr1mD27NlNHDkREZGDhKjYR8qhwh4qV2oWCdUff/yBX375BTNmzEDPnj3RuXNnvPXWW7h06RKysrIAAN9//z1+/vln/OMf/0Dv3r3x4IMP4rXXXsOKFStQVlbWxHdARER0/YQsnFLIdZpFQtW6dWt06dIFn376KYqLi1FeXo73338fAQEBCAsLAwCkpaWhR48eCAwMVK6LioqC2WzGkSNHam27tLQUZrPZrhAREamKw71TMndKd7FmMSldkiRs27YNw4cPR8uWLaHRaBAQEIDk5GT4+fkBAEwmk10yBUD5bBsWrMn8+fMxb9481wVPREREN7wm7aGaMWMGJEmqsxw7dgxCCMTHxyMgIAA//PAD0tPTMXz4cDz88MM4c+aMQzHMnDkTRUVFSsnNzXXS3RERETkHh/zUr0l7qKZOnYrRo0fXWadjx47Yvn07Nm3ahPPnz8NgMAAAVq5ciZSUFCQlJWHGjBkwGo1IT0+3uzY/Px8AYDQaa21fr9dDr9c7diNERESuJGQAfDmymjVpQuXv7w9/f/9r1rt06RIAQKOx71DTaDSQ5Yo/IBEREXjjjTdw9uxZBAQEAABSUlJgMBjQrVu3esckrqyCMF/kHzwiIqqd7eeEaITVc+WwOLyvZzkszgmGaiaagXPnzonWrVuLxx57TGRmZors7Gzxt7/9Tbi7u4vMzEwhhBDl5eWie/fuYsiQISIzM1MkJycLf39/MXPmzAZ9V25urm07WhYWFhYWlmuW3NxcV/zoE0IIcfnyZWE0Gp0Wq9FoFJcvX3ZZvDczSYjmsTHF/v378fLLL2P//v2wWCy44447MHv2bDz44INKnd9//x0TJ07Ezp074e3tjVGjRuGtt96Cm1v9O+JkWUZeXh5atmwJSZIaHKfZbEZISAhyc3OV4cnmiPehHjfCPQC8D7XhfThOCIELFy4gODi42giKM5WUlDht+x+dTgcPDw+ntEX2mk1C1VyYzWb4+PigqKio2f8lxftQhxvhHgDeh9rwPoicq1nsQ0VERESkZkyoiIiIiBzEhMrJ9Ho95syZ0+y3YuB9qMeNcA8A70NteB9EzsU5VEREREQOYg8VERERkYOYUBERERE5iAkVERERkYOYUBERERE5iAmVkxw/fhyPPPIIbrnlFhgMBtx9993YsWOHXZ2cnBxER0fDy8sLAQEBeOmll1BeXt5EEddu8+bNCA8Ph6enJ/z8/DB8+HC7883lPgCgtLQUvXv3hiRJyMzMtDt36NAh3HPPPfDw8EBISAgWLlzYNEHW4rfffkNcXBw6dOgAT09P3HbbbZgzZ061HZPVfh82K1asQPv27eHh4YHw8PBqLzNXm/nz56N///5o2bIlAgICMHz4cGRnZ9vVKSkpQXx8PFq3bo0WLVogJiZGeSm7Gr311luQJAmTJ09WjjWXezh9+jSeeeYZtG7dGp6enujRowf279+vnBdCYPbs2QgKCoKnpyciIyPxyy+/NGHEdNNpurfe3Fg6d+4shg0bJn766Sdx/Phx8fzzzwsvLy9x5swZIcTVdw1GRkaKgwcPii1btohbbrmlwe8adLUvv/xS+Pn5iffee09kZ2eLI0eOiM8//1w531zuw+aFF14QDz74oAAgDh48qBwvKioSgYGBIjY2VmRlZYl//vOfwtPTU7z//vtNF2wV3333nRg9erTYunWr+O9//yv+9a9/iYCAADF16lSlTnO4DyGEWL9+vdDpdOKTTz4RR44cEePGjRO+vr4iPz+/qUOrVVRUlFi9erXIysoSmZmZYtiwYaJt27bi4sWLSp0JEyaIkJAQkZqaKvbv3y8GDBggBg4c2IRR1y49PV20b99e9OzZU7z44ovK8eZwDwUFBaJdu3Zi9OjRYu/eveLEiRNi69at4tdff1XqvPXWW8LHx0d888034qeffhJ//vOfRYcOHfjeOmo0TKic4Ny5cwKA2L17t3LMbDYLACIlJUUIIcSWLVuERqMRJpNJqfPee+8Jg8EgSktLGz3mmlgsFnHrrbeKjz76qNY6zeE+bLZs2SJCQ0PFkSNHqiVUK1euFH5+fnYxT58+XXTp0qUJIq2/hQsXig4dOiifm8t93HnnnSI+Pl75bLVaRXBwsJg/f34TRtUwZ8+eFQDErl27hBBCFBYWCnd3d7FhwwalztGjRwUAkZaW1lRh1ujChQuic+fOIiUlRdx3331KQtVc7mH69Oni7rvvrvW8LMvCaDSKRYsWKccKCwuFXq8X//znPxsjRCLBIT8naN26Nbp06YJPP/0UxcXFKC8vx/vvv4+AgACEhYUBANLS0tCjRw8EBgYq10VFRcFsNuPIkSNNFbqdAwcO4PTp09BoNOjTpw+CgoLw4IMPIisrS6nTHO4DAPLz8zFu3Dh89tln8PLyqnY+LS0N9957L3Q6nXIsKioK2dnZOH/+fGOG2iBFRUVo1aqV8rk53EdZWRkyMjIQGRmpHNNoNIiMjERaWloTRtYwRUVFAKA8/4yMDFgsFrv7Cg0NRdu2bVV3X/Hx8YiOjraLFWg+97Bx40b069cPTzzxBAICAtCnTx98+OGHyvmTJ0/CZDLZ3YePjw/Cw8NVdR90Y2NC5QSSJGHbtm04ePAgWrZsCQ8PD7z99ttITk6Gn58fAMBkMtklIQCUzyaTqdFjrsmJEycAAHPnzsWsWbOwadMm+Pn54f7770dBQQGA5nEfQgiMHj0aEyZMQL9+/Wqs0xzuo6pff/0Vy5Ytw3PPPaccaw738ccff8BqtdYYp1pivBZZljF58mTcdddd6N69O4CK56vT6eDr62tXV233tX79ehw4cADz58+vdq653MOJEyfw3nvvoXPnzti6dSsmTpyIF154AUlJSQCu/llvzn/GqPljQlWHGTNmQJKkOsuxY8cghEB8fDwCAgLwww8/ID09HcOHD8fDDz+MM2fONPVt1Ps+ZFkGALz88suIiYlBWFgYVq9eDUmSsGHDhia+i/rfx7Jly3DhwgXMnDmzqUOuUX3vo7LTp09j6NCheOKJJzBu3LgmivzmFR8fj6ysLKxfv76pQ2mQ3NxcvPjii1i7di08PDyaOpzrJssy+vbtizfffBN9+vTB+PHjMW7cOKxataqpQyNSuDV1AGo2depUjB49us46HTt2xPbt27Fp0yacP38eBoMBALBy5UqkpKQgKSkJM2bMgNForLaqybaSxmg0uiR+m/rehy3569atm3Jcr9ejY8eOyMnJAYBmcR/bt29HWlpatXd79evXD7GxsUhKSoLRaKy2kklt92GTl5eHQYMGYeDAgfjggw/s6jXlfdTXLbfcAq1WW2OcaomxLgkJCdi0aRN2796NNm3aKMeNRiPKyspQWFho18OjpvvKyMjA2bNn0bdvX+WY1WrF7t27sXz5cmzdulX19wAAQUFBdn8vAUDXrl3x1VdfAbj6Zz0/Px9BQUFKnfz8fPTu3bvR4qSbXFNP4roRbNy4UWg0GnHhwgW747fffrt44403hBBXJ3NXXtX0/vvvC4PBIEpKSho13toUFRUJvV5vNym9rKxMBAQEKKvGmsN9/P777+Lw4cNK2bp1qwAgvvzyS5GbmyuEuDqZu6ysTLlu5syZqpvMferUKdG5c2cxYsQIUV5eXu18c7mPO++8UyQkJCifrVaruPXWW1U9KV2WZREfHy+Cg4PF8ePHq523Tej+8ssvlWPHjh1T1YRus9ls9/+Fw4cPi379+olnnnlGHD58uFncgxBC/OUvf6k2KX3y5MkiIiJCCHF1UvrixYuV87a/zzgpnRoLEyonOHfunGjdurV47LHHRGZmpsjOzhZ/+9vfhLu7u8jMzBRCXN1uYMiQISIzM1MkJycLf39/1W038OKLL4pbb71VbN26VRw7dkzExcWJgIAAUVBQIIRoPvdR2cmTJ6ut8issLBSBgYFi5MiRIisrS6xfv154eXmparuBU6dOiU6dOonBgweLU6dOiTNnzijFpjnchxAV2ybo9XqxZs0a8fPPP4vx48cLX19fu9WiajNx4kTh4+Mjdu7caffsL126pNSZMGGCaNu2rdi+fbvYv3+/iIiIUH7Iq1XlVX5CNI97SE9PF25ubuKNN94Qv/zyi1i7dq3w8vIS//jHP5Q6b731lvD19RX/+te/xKFDh8QjjzzCbROoUTGhcpJ9+/aJIUOGiFatWomWLVuKAQMGiC1bttjV+e2338SDDz4oPD09xS233CKmTp0qLBZLE0Vcs7KyMjF16lQREBAgWrZsKSIjI0VWVpZdneZwH5XVlFAJIcRPP/0k7r77bqHX68Wtt94q3nrrraYJsBarV68WAGoslan9PmyWLVsm2rZtK3Q6nbjzzjvFf/7zn6YOqU61PfvVq1crdS5fviyef/554efnJ7y8vMSjjz5ql/CqUdWEqrncw7fffiu6d+8u9Hq9CA0NFR988IHdeVmWxSuvvCICAwOFXq8XgwcPFtnZ2U0ULd2MJCGEaPRxRiIiIqIbCFf5ERERETmICRURERGRg5hQERERETmICRURERGRg5hQERERETmICRURERGRg5hQERERETmICRURERGRg5hQERERETmICRURERGRg5hQEVGNPv30U7Ru3RqlpaV2x4cPH46RI0c2UVREROrEhIqIavTEE0/AarVi48aNyrGzZ89i8+bN+Otf/9qEkRERqQ8TKiKqkaenJ55++mmsXr1aOfaPf/wDbdu2xf333990gRERqRATKiKq1bhx4/D999/j9OnTAIA1a9Zg9OjRkCSpiSMjIlIXSQghmjoIIlKvsLAwPP744xgyZAjuvPNO/PbbbwgJCWnqsIiIVMWtqQMgInUbO3Ysli5ditOnTyMyMpLJFBFRDdhDRUR1KioqQnBwMMrLy/Hpp5/iqaeeauqQiIhUh3OoiKhOPj4+iImJQYsWLTB8+PCmDoeISJWYUBHRNZ0+fRqxsbHQ6/VNHQoRkSpxyI+IanX+/Hns3LkTjz/+OH7++Wd06dKlqUMiIlIlTkonolr16dMH58+fx4IFC5hMERHVgT1URERERA7iHCoiIiIiBzGhIiIiInIQEyoiIiIiBzGhIiIiInIQEyoiIiIiBzGhIiIiInIQEyoiIiIiBzGhIiIiInIQEyoiIiIiB/1/hPgcYHtmNc8AAAAASUVORK5CYII=", + "image/png": "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", "text/plain": [ "
" ] @@ -1333,14 +1346,15 @@ } ], "source": [ + "# Extract LiNbO3 material properties at optical wavelength\n", "eps_o, eps_e, _ = (e.real for e in LiNbO3.eps_diagonal(td.C_0 / opt_wavelength))\n", "n_e = eps_e**0.5\n", - "r33 = 30.9e-6 # μm/V\n", + "r33 = 30.9e-6 # Pockels coefficient in μm/V\n", "\n", - "# Index variation derived from the RF field\n", + "# Calculate refractive index variation from Pockels effect\n", "Δn = -0.5 * n_e**3 * r33 * ey_norm\n", "\n", - "# We plot the whole domain, but the perturbation will only take effect over the LiNbO₃, not everywhere\n", + "# Plot index variation (perturbation will only take effect over the LiNbO₃ regions)\n", "_ = Δn.isel(x=0).transpose(\"z\", \"y\").plot(robust=False)" ] }, @@ -1349,12 +1363,14 @@ "id": "ff40809b", "metadata": {}, "source": [ - "We can now define an auxiliary function to create the perturbed medium using a [CustomAnisotropicMedium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomAnisotropicMedium.html) object as a function of the voltage, and return a [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) object.\n" + "Now, assuming that the field scales with the applied voltage, we can define an auxiliary function to create the perturbed medium using a [CustomAnisotropicMedium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomAnisotropicMedium.html) object as a function of the voltage. \n", + "\n", + "This incorporates the index change due to the RF fields and returns a [ModeSolver](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.mode.ModeSolver.html) object." ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 18, "id": "6a02f7c3", "metadata": {}, "outputs": [], @@ -1386,14 +1402,14 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 19, "id": "29e27d6c", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4a8a2d64c2da4fa899e13655803855e6", + "model_id": "8251b56375ae464eb57584d5addf0f5c", "version_major": 2, "version_minor": 0 }, @@ -1417,11 +1433,11 @@ { "data": { "text/html": [ - "
12:00:49 -03 Started working on Batch containing 5 tasks.                       \n",
+       "
16:44:22 -03 Started working on Batch containing 5 tasks.                       \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m12:00:49 -03\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m5\u001b[0m tasks. \n" + "\u001b[2;36m16:44:22 -03\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m5\u001b[0m tasks. \n" ] }, "metadata": {}, @@ -1430,11 +1446,11 @@ { "data": { "text/html": [ - "
12:00:56 -03 Maximum FlexCredit cost: 0.020 for the whole batch.                \n",
+       "
16:44:29 -03 Maximum FlexCredit cost: 0.020 for the whole batch.                \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m12:00:56 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.020\u001b[0m for the whole batch. \n" + "\u001b[2;36m16:44:29 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.020\u001b[0m for the whole batch. \n" ] }, "metadata": {}, @@ -1458,7 +1474,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "684fa8490c094907a5d4e795baf0d256", + "model_id": "8b93a4772d5644adba18ba640c0e0c55", "version_major": 2, "version_minor": 0 }, @@ -1472,11 +1488,11 @@ { "data": { "text/html": [ - "
12:01:00 -03 Batch complete.                                                    \n",
+       "
16:44:44 -03 Batch complete.                                                    \n",
        "
\n" ], "text/plain": [ - "\u001b[2;36m12:01:00 -03\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" + "\u001b[2;36m16:44:44 -03\u001b[0m\u001b[2;36m \u001b[0mBatch complete. \n" ] }, "metadata": {}, @@ -1495,7 +1511,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7ab4b49506d44bba8a78a0d9d3673a2e", + "model_id": "632aa8e6f6f94d1c8b0b518122bc2bf4", "version_major": 2, "version_minor": 0 }, @@ -1518,12 +1534,13 @@ } ], "source": [ + "# Define voltages to apply and create a Batch of simulations\n", "voltages = np.arange(5)\n", - "\n", "sims = {str(v): perturbed_solver(v) for v in voltages}\n", "\n", "batch = web.Batch(simulations=sims, folder_name=\"perturbed_mode\")\n", "\n", + "# Run all simulations in parallel\n", "batch_data = batch.run(path_dir=\"batch_perturbed_mode\")" ] }, @@ -1537,13 +1554,13 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 20, "id": "7b8459f0", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1564,7 +1581,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 21, "id": "8093b264", "metadata": {}, "outputs": [ From 5d54937736c612b550a8c7db1c9bc0c61860345c Mon Sep 17 00:00:00 2001 From: "filipe@flexcompute.com" Date: Mon, 3 Nov 2025 13:33:27 -0300 Subject: [PATCH 5/5] new image --- img/TFLN_EOM_Tidy3D.png | Bin 86113 -> 145809 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/img/TFLN_EOM_Tidy3D.png b/img/TFLN_EOM_Tidy3D.png index 3043d885dc6da95f62f1f6f02e563723668eac0b..ba624a87d85458b20997168b230f39c10415e66c 100644 GIT binary patch literal 145809 zcmeFX_g7PU^evh~N4oSXh)N3x(xiohC{jc~ni86Z-kWq1IZ})?1tK6tkQyKe(n1T; zn{+}4kzS-n85!Z)<0+S|DV?H^!fir zZhc)E2UWbmFH)7%0i9GxN;)?Gr-B?}|5V+9KHYo#871GgE8p?8*b6R=5MVbiXfXyv z-G+GmemocPS_=Q|C4SD7?^GaGfqY)v&%Bu|pB zANwA?v)KL^T)y7z2wn8Hyr5Z>?fPD;=W{~Cw|^sc03BJ0JW_zpSwQEM=qdzN$n?`e zNnre$D&KAb`Bc0vfO-b7n~P|1MXJAYZUAY80JK6tU9!k;VwUBsCY)p=50LvpmO&gQ z>7+85X@nI?prSUIjup`(T9QCsVT34>7Ae!QO!)&ndBK0sByTuVTcmTE|1onAdqjPv z__Osoa7GBootOw!{cQ`ssiqal{@P znv9sRqM3>Yvv+za{D4=81=GC<*)N?)g!m^plT3`6KAS?TiP{P}ygU72&LPj|8KC|q;33F`Wa0w+IWK;%0eWJ< zx6dAX!ll9RVF)i4G#cs>|0AdKVF;kKVOf7b1o}g!#Glt>185Ych>ZqdNG5O8cIhW_ zCM4*~3&ATF5Jhmy02(|lVeAI}zZlK`J3r>9oWt}B(sb)?M*=RHE1T#1yVR;}AAX91 zBGGJ4WylFf7c}4_&D{Ex%1T8hI{^cmXJ;1B$@q7{6rb}x?lJW~eC1-{uzbI6GCCmp zb56*_fGhL@R1(O3Ym($mB{G2=x(zIm?25VfyN_fRqyHp#ve2q}f)e$M=^e=g5a0b; z&xyXrw&6mKzRX|F`8~@wQ%>3Bj3^(EV__YT*#mxh&ks;ec%`7|tkLSsL8;;W&VZ^o z3!tP|`e6yPN?VM^|LgjK$!|aS&xA4pq5RX;^7lND*TK0*=SQBe$M!$opzhwkTRs{b zojU3dBmLRk+y09+fZ>_crj_%a1eH|CR+j$PXZfA_LgLK-bf~=4|6b{RRC3zj{9nSR z)N7`K)7kRP9%H~)pu_yO#bY@VPv93N33#Tu1%7caz=Y@S+qrgzt2V()4|45f$Ad}c zgGUxV-$b?yPM7>Gn5=oiS>iR#nFv*yOvD1aWD#dHmd7%W*MV=&@tu4nlAywV{NEH? z5|mEK`JYLhleKZbbZ#0lY0B0Tj1q%g{_WI;@BbVoM~+U08(71jY}dyX>I(ko-;<7E zSbW?8C!ZaY+D&(+3%*ZN>E!yoHs)KOu?feKW@B+CzPQ!lSW)7VD%Q7A7Cl6-WS%yMeF-?LFv`)fCC(C9g4jT zt}}0L>NqS>JYr7#YE0rIZ6p%J^Yx7~_VSmPeSPtZAQgWzrRdvj9e3oA(3FMGaN5ZM zlF2(>DV0_!?1@`svHsi|^|aTQ%TU28l0oMz^g-Z=!M)K-Kt~K>K16Bu{`-eZM1+l> zIuMIJr)@u^V)& zzIT~WAvm^wor}gEflRn&LwxlF%5QHZyl2@2sS68o17uo}`;^%D_*x!PnRn(a0x;!H z0G++tU$nmQU>SS2Zw0b)z@bVV{|aJM2Z?`@ezkuU5bMvYp$GP-&2!55hDA-Z{u_wK z7QalZ@{T5}7CQ{yr*6)!{3gK^39HfnQD7X#inud3b!xhq4qj0~w5VR7S*7(+ZAf)t zA?e`k^`S2Kpk>0}K4;Q=_nR2=UQVPy*I|6yNZDJe@H-(tXtXjqJ{MRlFu49@zepl+ zDP7{$dYb$Amn=4%lSa#=p7QE1|E2zYE6X4*lN6GXT%12B;(CPmvO}{`FU9}xd77;`%IteUQJHv`Q#8c1;DwAZAu&(U>tj@^) zcxUV4!$f&j;`2nE%L)?t&mk!rjBaIS#O^ZFj`bUSXfJ91@y7dln&z3oP)6lF%V(Vc z*&QI?IdiP?oS$k_MGJ2&l2RT#;Q|mjL`WxV+yxXy`8F|*+(4AG_pX)U?_U|!@GWr` zpi#_xm>oZ6w0GiF&@Dr(XuTS(Kgq*fPIGk=kbj7n@4{)vC2%nQJxia%#03z#wiq)Z zvYYNWlLYEBCO)EjHG7@#vn#KPvl|6W*yZ0aBVh`IHY^$!6OOGs2*4aHAR15I7~_eb zQ$oUeuBxWYW8iizs>X)P@DyMP;`qFYr>%k4M}@OgiSuvgY*k9GiZ7~^f_*HY3C%Gg z8!%$hoB=Sp`bRgAHVc(S9RPU&`7wyAIycUnJy$*X)bSe`=!N?w&KFlpwzx}<1pa~N z7iEDoCe?I>$^fHN0Mu;W0v>-{y@6Xd9#04fkh1Bb(VP_7e#A}!of#)!mv8Kd?m7_2Kva-c<@Q>CX(mm%C@Q)`MSg3@`WDb z?tyZ!4fnItgkO%odR?i@_RXkD`=RtfruM@2bLun`CihcHNePk_J)iY=IH4yx8T-y?&I18ZYB{W z=$FbXlSW}k!%nXh&`4h4Q2hJv0b3zjO)?AN_=B7ZpbKdF-p0*8T8(s%qTOOgCP_F2 z1=Z0g^95f&A}HJr;ra4G8#prQXu^FC(!zQ5JKoy_!N`2L4NEX`p3%IMnGR1+TBz@X z8?mEO;Z(zgytdGY&Q*U>jSH8?Vyg>C1V{GkL8yL%YdKVi7MpB;F@Cn+;~kt{a$3V< zaFWd1#%)PDD$3cO1D&8|c@e;%Q9G|H!)qtS?pUb%jIywwaEE4J+VbKb_R6VYi1fNBebps+w4#nob9%LMM~lj{!k zf57&I<8!0SmwSe(JqrkZ2;TxuN7TrNe=WBIMwC#^k@_CO5>7>@=h#@h)Ag1wzE~fkDT;9@&voZK&&wDROGr{73iy+f<<*hv) zn9!Z`VGs*s-H)tsN`?|J#9(Xh zc)LeJ(WTYjtvb_Pv*_n%8>Eup9%NxA3Z}G(M{2v;v?T%R7=4ObyQ!yg4;y zKpuyPNs18Jdr|ZW87-94JBOblWw0$Vtc2U&T$c`i#7xB<-<}a$Tq?NRed%Y+fMBN> z;mfrk-$5V82{THo|55yz!OSa{{_Na=Kigy@=V)ceZLYi*%@4I`QYb0iN<(z5e$HdMu*RijE4*b*_V*FjX{TIVFwC!oz z9DQxxGU&SFpDBO2rzE+a`9b?W-RP4(zxzhb!k>v%dbv|*)R4@qu@JJllx;;v0)@qo?cRw4?<;U9?5Y3wz$B`@CsVvZnm_;}6$2c?_Kw^V|gFp>=vP zmNfU6!^w8na}L4oG%{asGu>B0xgtr(mv>CF0e)NH*clgyxZ zitG9zGOO3han)OtE-*j9Yo%132Dkne5+anPg6VR69HK2*W|tyO0$n>F(;jnDEx`J&0a-X0r+j_mn%!;>wyKCbh$m%m)5>ov_LWJszJPy- z)Cu1_m5o2$?nz~5wJlnq>n zE*TvU?I2pGLBEIB9nyYBnRi;wKsqpVH7Q45+I^7lcsHt`D&U-pN2eaO(Adj|)Sa;bE# zZ=2}~S_DiMytt^IezbUsy2}lCnqUTAe^W=&JVPSGdaNhHDE;Jjl@8U72UE;{2Y1LK zsvLJm5IUARi=4V&Mvvqbxk6ZvfvNq&t{nX}Ww?($%VK@yieB15b;`jY$9}ER>6{yQ zE~nu&&DicRyUF6Vaf=DdsA47!sn{Y$Hw^h#b}4+~d831dD`~|+b`@|$LePgo!!$!A zTU@9~WCmPldz4#gSDEQ?UPV(R*Hb`fUDSjcY=WUM#HCWnkE`s4t~nB{O09yE^>Jd z`YsHx%-H(Q6`VA|;Ul)C>(=k`)s!UD6{rWsEZ5D_V;E$TtYqk!B#b7|~z_@`Uo z9*CSnSA(YF(XOk_b3WVDqim-!mKTKgfTX!>|1Wm#VFX_e@ z{plsOx1{Ncx0q$yN$#4HF|s1AYz}9uqF=%4@VKd(+=oHq2k#S$LHVrQv-wlCbbM^& zYrx&zCi77s)@KedUn*70mHl?55*bCI;!k{qe?-V#i)ZqdKREf$Ip}|;$bG4TX*c%n z5(9#&iW#r)PvyA0ypxmr7LwLs2!cJqu~h?{D3?8w0kcF3#)#qmdk6nyl5b5r^N1nD z2n{5Xj-DB^H$nLOC64?W5A0Jc|3fJUCb>1F6YX?@))`bB8@pPL}a?hYx=$+q1lm^y)7_M+mTkl{-cD zpFoklC==de`s(1$kvTyWd~^XGP_4-p8ib=j=-nqc%eYN3|p` zqIU#L{wH{;^0+NY>1CDBcRhkGZ~OrIn4-31gw3K~VN~GXf<&(7lrPzu;d#X;&NI3Y zg7w;#Gg^dL26W*;UuM?uoiM)r0u}tcYHk&guP>CkxT#J z*-6ZeVxKu^7&^@S3oCI9foCZqkIUQs?J{K24hmQv6S)9bLqi5##ZVDS$@5~!p1H)A zW?5&pROu9C6t4V){aKDzf4qo?XZu0|gd-eLtZ(#IZZ^uE@8T}KH%Y=A_h=X;nG1Wn zB_9dgyN>cRB%luGt9GJqL~!OK{7m??d+0nfM%wcYkaDhc@qxc2aB%GzJ3{TW2L@<3 zIu>;MiS}>Ud!KIFm*Z{5N+#d-&K! zwFv1%@n$vRNzJLf<$)oeU%#WatG~DVvU(kErw*T0__K~_b9BOwZ`+-9Z_VL#&&k|c zF-=dep7QRlb=d~Oq&#_+rGY1eLF2;su#72^L*zFNa&Rq*2ISKr=e44B&{ba+QWi?g6%rMSW!b%iX{#~M1(7%d~?thxjs|LG?SW2wp3SyXz%$Hk>V zn{i<2YI*8Zf-k4<*Y=ko{Qbp$MuHnc!o5!w!JjSOlkL&mo?+XR+MWGmYLu~Nc$HjP zEL7|jjCK~DBY`6_=)MIVv%MTh@mrpz)%8vMqP|2svm+Mds0Mw?rdU6T_V}r z=E@onO!XmvM#H>d8Y418?xbmC+*CKdmhgJ}&?d3Lc&^jsXQ6no3-yQe(-eF1=7P5D zdKebeqFhgXHPT1y&uOU??SUd+W&`U6ZKS$ntLEPMx%CM%Ehh)lylxbK5(5#(tkIVS zg@fvFihbFi62U%t)z<7@L9Y$LxXC%=F9T=CqN>^5&3j3_1K=zXJBm@ zu50lm7Bx%Y#sxGy%#}z5;s?%FW<}tUf1b*sb zqI648MPqc)LeJ)jd=&!5b+W@G%ZoEB(X~Jp_s#QLL<(ugEIX|W?5{-ZNz>U0wZp;U z)INGfgsj)Ir#GkT2FVd0f_0tp;CyI&F)EiL}5T;OQ#$s+3qpO{opFuLL)n~Tp23RYw5W|Gk@A}ucEhWv6Eq*e|BNL z*Dwq=Szt>5AR(n4%Xh<_JC+OPr1=g*T{K+DKPk#F%eLtPBeC9C$b%RNE){B=ScYw!igkeAsAM6M|9Tyy!=ab5BwtS&C5llR~BbxD|cqf?sUmsPPp7BFriAsqmY^bhbHS8%RDcm)Vn-I6hcxLssFQQPdw*%UIT@6GL_D zsz`1>;*ULkvw2nhe+@XFV#_J{_9dbvEqX&%^9Xm0~J&_(8BT7hWkcj8bNl_pO+f5tEz*kB5G-_7Znyu zjH;W$*79cqZn+?gk;hEXkJC)F*-zK?AAXL1VB}MS5O15t2tXeTygmMRQV-os;A=n*F&@-2YjF*~JKN%-`@ApUD5I6k)hT9Ct370K zBQ`c$6svE9CcF)HUX&Gr6?TZ=&y1npYQ^VrCeS@uR`=&Pr~aW6Tt4}Q#n;-1VMSE# zLf5(ZH1Qpss}46OvfmkQ$Q|HD#9o;PUS5?5*YEjC?W;uh!W?X5uaEhk;2gh70PwwmsF@68qo_RW`?57z$aPjS3AtKhuV7CG zOvqplzDS;BpoTHqFUmW-q6b7i@XG9NRu>p%s6ut1b;Z7__B-@6pt_M8~7Z|*n(>#$V7EeEKolKz5ZT)C0#SURHl?DGA*w01C z?XTjN$Y3PZ6#pRifaO-uRoU+o>ULwu;LM=SxCOBmIj5ze1Xjyc0K}zU(qwCz{LQ z3*&uiw}ha3`)mAt<&yhS6+~dUj|Ek4BCpr=MjsYny1@s+K1d)f4TsGjW(`O7OlDnj z0d?Y$&uS9&(8yS-E(wr{1;oh^gR|TH+2FFfKl0E;Kao`)P+cYe*&$wfncu*I@Y?nG zm;UwfxIfb1_R|#7cj>+~_enjx5%Ra@I9DAOV`f&!0%cXy-v3KeRc^^9^r`>XxslE+yPf*VPR^`dl!+t_K~cHM*ZQgh7xwQH5T6CBn&UYi44 zps(Nd0-76!p@R=$lQK$<+?ewOvV!DEq7Em@ahZ~N`y%17S#){1QjA! zOr^7AN8Yp6X=5#I(7gV)N7eu7FG@PF_1b}!@Co&MBX2&Ki&?uAMJzvMi1hAF+UIBC zWr+(gxp$$*&_#zb856ZO3<$zRL~Zc%xG-(YY;cZhi8^N^OZyK!~3+cnS~G{Z9^9C!T4sV3%iN$#h{K%^qlJY`cDHh zNeczA(!2`rb;ZXGVRerYCT*ygjwdklifm(ow%KPAo5y|L`@^dAfSP_fn zbksQYI7;2jt;$Qqqap&;Dj$x1Q}uOz>agaEx*12dvhGk|0Q(1(b)96X&G*y})urXl zG%`f>ME$~LMH@mSZ8SBvFk1VonT5p(c=zir8I_AfvV)&gUL_1`kY^YXhr&@l-b@+B z0554u-xdpiWZThqgX;y)ei!wVnuA|e zb4w!Io6KfxZEC+u^v3#ItkA3d(!{4w_{tvS6orIzDYuu;N;K%cK22lqm~D@u3=Dcn zmb9SwkJi>#;XepYz$XHVM~;Q~j_ba!T9=?~y~Ped&$N&~H6|^ww4e@FMG7Y0hGuUC zKt(}P`h)TQz|8>wxutQ|CxR!@8MJ(Vavph4;g5qiob$lm@`5ckxLWNKOSl0jzqwWS zx#KFFC?OdFQ?*)lH*>%nbF9W;j=pxH!NB_E|+kk z+kB;Uup}6V6ZA~ZVXABc-sY(6idnFN=CpH=xD6lAP zx!K~F*?9I_2^w5*q-g%z;wIxTx1&`FmzX_Eg$pwJPl&;QbdYLZ)$3p~jlj)>TRST# zA4-9s)J<|8IJoUyRlhm8z6IzuxN>=i(s{R@;Y_l!+9~w*N%AjOL=vY1bHC)W$KerMFx;wXyPlW!AV_X?b2zty|CmYB)J6usE>t+!`F zz5JP5B7b~0k-UCOvfN*(4}Q2JImp)ao~=j};>eiQL7YtCD7=auok#Qxe-?P`9Ky=W z?C#mImaG0)vk}7ibeN(-I4OfrJuewOmGx(^q9^1u9CQBMXcjwrH5oy?>uYvR#tykKwrSp(Oj^k-xOwXS z>~BtKKjhs??#A%INNQfiVn}elGH7AbA(;{_+3cG{8gLxccCehuSL<3Gp*0jcomR1& zT-*N1m^)|b!snK0=ki^jAW&QqueX}NNbEe3=c^Mfi_3~q+%I3H8oBjMtY`eN^z;`~ zSV{`%WQw?NTb;D}ker0-P}=q6!;~=jzx}HtP}J((5K*$=Fq~O!_Nh0!Ni$GCcLG{V zE1Z7?U!>{tG3#K6)~%e097=#>7_Ty0!V#N9`!4wpqfM)z!q3q`cbNGcY;7MVCRS+` zhQ>Yk>H0kXQ0s+Zg^_#~hNSY!tR$gG8CL%mGMJ?W_w++|sabrI+g4(sw*NeW`d}e$ z?Vc4e*~Gs?hq|RGY@MK)CF5;BRACF!p7*&G!y)9WS`E}!))?mN%jOu+6`k!{Q01ys zM5v*|`(=H=8nuO;TBIHu3C<-@{10}%`lNqy^qG;e+!YH|e%W6Rx zj^ur)ixr%2;-=C6Jh*@0af3J5A80lQDU&Q)suk>x%W?!5-sjlIrHjf7a8PKe6s!AU>54Z3ai?O&r{}PdcQlA`I&^z>0 z-HBEgZl!)JjN)~>5z zdvmQ508pA(lUCdMyQ&aST*w+R4=ZkAP;gInbSch=%QENu+^r0Ol0rGqs|lgv4)Z;^ zx&)0+l*28kNk6Wle$1x|UH4Gv{xxn+Hg`$JAES`b7wk^ni2cXAX_GHpaN*mNoTl7* zqfCBX8B`&ARBU*?;NicxXQzVl$8?9#d^RWJKe!R@8c3Yxdx0)urvCSEm?P#IQRB!-K5?fzd<2G*gsEIE$blr(wR3z zX!Y0U2VRF$^{rGd?+>J1YO}ic%NaH=JYg`_S2xpQbr&;i?s>vcsjohnYp%X`Hq!f; zwvY3d#IU+oDEIrzC^MwsVLu;+{3tkN5RI;3_%{OoVd9W_C+xp1WXfxin zmN<>srTh*$TO`~5+IVjXszzKDb2D{d%4~Iiev_cq;`Ek zeI&j_S}Q%ySV;hf8i-`VB=gd95QAHk12;-g-)D6jc z&^&fmr%>a``+qq>fAHXaP&*fyzW75Kv|MxG`whtuZGrCelm;7`15yTEp}z9lJ3OUI zWG@n=aN0(!;V|>`;(sU7rot9na&OO;W!bdb+=7DzDXRW5d-Y7_>s-Z;M4;KCV;7a1 zeTFxrk?YWM1gqD@K<9CO$Dlc8Q2mUBnr#1u9G2N5AKE~*&L83C&-cmSi@RPiqRF^T zLV24!HuDPe1HRGWMF6UX9f~nBsOTGn&e^68!}nK(8zH!<&eidD5~Ox`mH4~Xmsu!5 zsNvm%`tiL_#yIhF?0k>f7(zCi6P&>k z^*0Vj&&*gHf~TEcrvPf-Hf0b#)_*?Wpw2ydWc0r(tikS-p~Q<)qaN5y>f(((ZmrVl z2_*@JO&utXJeYn^vB}3`XhZ;tV^GBLKI47I6aGd~TAX$|#1JRv&!M&=_ubY9fcs|2 z+BGT(?IN!f#jK0bR)3{@!H&=7+J_Q)%hb>07GMR8oh7sNRO`a#DM!iL_-aNd4Q(&5t}CWP%D^uM&J3hVb{^` zW4#J0-PXgrp*Z&E%eD$D0)NpZD0(JUuVihjoMGX8Woz8C4$|NXH!Psz62x#(ANg`o zMl@)CNg?;Rx`Ek+ajzhLg*k{Pq7Lk&rvi=3Q~sB6WS(b~Kjhm_LaXX^E)G;AzeG*+ z2Zq+raaH`Nbp440HeBwNnQ;5hbj|AjGtCW&DTZPp)L!yd=wJPYY!_6ow+Gp@Z*D!X z5&V!~h}sxvmQa{Yr1PpSt@gT)CN9yWc4R}A-W(-K;_fVGre`sB7c5GQF4WLTe@^f5 zqgffAZvmc74~9R8t3*=JNgVIr9}m-w`ulN|f0~a3+*=O|Q9|}>o9#71L@*c$K;cbp zXpU5%?cFGYAffW_W^hzg32flVQ8cE>_<{RTCp{6zjk4dixjdSk_7dGHdwpVcC8GZ7 zIzgIgr@ZP>rQRZ|3i;ih!z)E4V3UmzF5d)~0OCN4s<3w}wMgTM;lJRUmr_nN34`}J z0$aJp%s{wgr+T4{zjk|$&7YoYKf!5atf?5~XQKOwl8oBtxUAOq270F80pX~Ut&@J) z16ugB`;*ZJZUly;nkyUCkW{K(=YJe$}= zSo+h&ttB>fXt`k!>r#{ECto7ulUZ;^_pEzTSnf8MH_wGFO{%$CFYh$*Q_=%*iRZV9 z#Ylr6Mu5LaM>DvbpcZ7)Ro`$Xv;b)>vkm;1J^x*{^ z^X}5Hy=iakH6^$gb6Z1;r7#N#(OUwG{c;GZ=86@G?SZ2qjLVsCi%sb~^lXeNy`<&a zi5~h*-g{T)iIO#oaGyT?f=old#08|`X^&v0lWQsZ@_kkFVh$)~F_uY+dy77eGkY}G z+mf*J;<1w0&>j2SiQ()E+#TtmJ1+_E)x>SyR4HyAuLd#@mQYn+Oq#_u6o|wFCOS85 z&7g!*-&=UI+{=9X>yzeoeTL`9{5grJ4`NptuHh^6?^%~ebSE#pF6S>@Q=cC}nLHKe zC%%O2FC@`3Nd|&%ix4nY7Am=6PBEQpf*9>K5jEi&jLJKTS49X}#Ck9E)d*^TnqhJ- z2?nZ7wxk_CY(G2Wm6++hGe{F=UO}_|Mv4409bn>FU@q~5sr_&OI(69a`}z*C`;~MF!|p7gOo;&F*e89D zs0hz1zafl9H?CQV0IG!(L{^=O-6TOXu_wazZ{OTxM<;0PwFg(@CcmE5&f{4vgtbjw@P<>^{(5V5ZZ!?8Vq4G5P+9fmg)MH%hRn3o?D2$(*BeuO*bGfxAOnkA zJpAbijXx7EQD0NLUI6=D(T-nf3ip7KFOek9Y)3ZD9$f%~DB4rgZs*n0D;Fd(-p+RQ zw~3~Yr>=FtDrq6@IV-Bp{63o3%Wn*(Tm>frvKP@2x4;$$W7(AwAknw_7NoP5RDJQ$ z_~{j@*e-Pc0stnQqNN5&8_quQ9LsQQ1;J{r{K7OsIw$27WGp(DGZ7ajvoNO?bAwIv z;q=%-xMIZB$|0#3u+$J{jn(p^zQGvndXjnIp`w3Ga`C|e6IeUZCf)Eo+B10S<$8D_ za;7_5`InCC-5M`~Hh1>U6z`3WcxSez{uBc_sra4JKCU*mra~*${UQY~zjpF!#Q?{@ z5d_|!yH%;T=3ELQrjPl_%FIW`n>`o|Uh^})zEY9p3h;~$h9z+MSOjybK$^Y%V`f=r z0!Y?JEu>qBIrjowJ3#a(gX_1MBZYsj<#>nk*dUIx%q_r!hVI^xVeKbAeeZj#8#wn4%;o5C|dlk6#?Ncf$1tE$Gv%;d;4AVNe+Z;HnB_b=w%Z5 zQL$yZ8bkquLP8Syvw`Ss-NET|9Y0e(KGzINul%q*;|KpxDyqehYT3V~J2~Er*Hw~u zY(&Zr@%0g{X@1^>ABjQv^%YRUw;(4m+SzIAPY2H@?~Z7prN2RVx8~aFE9iE{;WdM4 zAw>Jr--h9DSnGC8nVgR!S;PGu9Sgb~v!j~0uZG{+EeY8`u6mg;sU}m>#o!y3th>Rs z`-cPRH?ydjrtiQ9KTeYt##5T(x;JlbVf>~;-#w^*NjduE(xHmdR~q1-bOBp*bm)jX zeZ3j1p84kYL^ic>Lx(Sf^dExZfY3WT&0ZV1e+!T%+6PZjd5I5v4^MLKJNR~HYmZLX zGOMBV(y5R5>oQk3s|x|CF-9+WU?EtuxQUspE@*K!5*y2_`1TbUETlWYfYmV!rr5Wn zszSFVRDxypGHhR#MAlEmrqvr$)p7&(|ZaT`e_r{H7=lOG_7@J*s1`yW!Nga6H=*%vC2JDJ7sKysKR_CBJ#7zh-v% zD{`K63X8HtlbNh4Ej-2$_e*AVQ%>*V=IoE_xX9bhUq>j1(7mUJWWisXw$(Rkgh2@olpez*HF6{rU{EolL9=gjtp`qi?z2KfehPq@o%Lf^?cU1=IK#{~4llisO!6#Q#F3Wh=ucoqRrUeghauLNOyk1n*RWx!0CBG&yd|3g^1`UI&5fo_ zk^I@DRR&5j`6HN37y%)zq1YQQ(K=mkf7iKs*C&9ip@mAADUP=(suT&^<51Ct%+3m8 z8R}j=!|9?W_seTWV_Z-4iF>%ETJMM9mNMsJE}vPyu=|mJI9-}k1G=JpB88)Ll*U|<^Ew$z=x zx*M!jEB-!pSe=P2E8Xq`JQPB{{zH5tvYvy`^)H7SDUo@`%UQHaL9EX6Y zZISa`(0CcDYbmVt)eNYbZ{{+rq$DZNvDan}{QzD`VS5WZ>bPG(h=u2gK6_RJL*4OR zl|AMift$CJ(>z0qpIV~9cGYH72O@WV&?1WIM_WPzsXnYouXZkvUt7-9FG;s4l?#O5 z(>3S9k0~_Wy01cR4XRFdp#5_7g#@~__%!yCvfIQIme9%SZDj0X&%v7a5|;4uV^bl5 zX0ixWb9Kw35t2H*0IuWm(n+vFJ7}xm-o8KNm-BxPQqlGme0yf%k|({MIWV17nPc+& zWG7xN_|6k$}~*eKD|UusX(^)i9 zV_$6UPJ2!NTxue_3&0&v`LiqVvC0CmLyq|IJ2OJ4dyjsrLZ9I#KfYb**g%E|i7MhS zbMm%~(nB+LWuIO~T70*&S3~ZW-JXusmQ6pmd=Z42)n<{ zwspTInuTGRU7)zA_UqfcvZGd74azoSSm0!mX=>P$9$Jb^BYoF!dQ&2-u{c|K9-ZSJcS10f9|2o- z!O3d=BB+w~F(Y6$+$JTMJCW|S5rgOK399=#7MUx8Z(9p$U*5?=BnlCiE+C}!VOu(` zn&%%2ELa;M=cnwW-hv5jO{3&QWsMK0i6QRKTlo}XqrI8R{w*(XzERa*ImBgHabJUW z^-PZ6L#Oda6VM+lv4P|f1|hT+w|}HCf2n%G$>p9xQ$~GvW9Uq})2-mlTQDWPqn@XB z1SN?}43BxPs1!=Q>o|N9;(<53 zwuPktegg$Mr}Z-eV0tW*x_)jM%o!-{g*bCHfAK8TtD_XKEOJ>3&lQ4gd9-U;4-dW) z5%i;XRk98zS!>LiAVF&>hb}tyrQ=$=7TaZ9-%fai35>J#)~ikz!4L^{avJP8v2{u3 zUb+hthFbTs*EMh-b5~**NNc{8;_NhkCdCz=m}(`#3jh9cGj)p(fc%IL5Q4}9>Z-UM zOP<#nCz*5IFaO4jAg&&02LISdP|p?d~~%|5g9J9d8?#+bT^wE=b!g>TMNUk6b@U+*~<>wBXe63EiP^N#;611QbtA& zy%mNPQsI0kYRnpg`Kqu09H>z_L0liB?al`3Y7d^JkxGV~+?2pc;+_~8i@&KBGRu71#u4*!=JuxC zg&NSfsH98V>Z>HqX*8P;Oq_THV=a#!EoXO*z1Nu9l+Chh_7-5@=p0-6`N5;*ZA zk~6BPd%!<+)_0(0xx!B$LK@NkFwOby(fxaqq%x*P3Ei^Qr|nX@R?m;7^v5!ZDI;Pb zT4Pq)&N<*YIMh-Lf(^>)E|_vTxO?KupAj)RfDC5_tWO>OtFaCUyUJHta0gXt9sJS! z3EY&-C$(PbjoBVOJzd8#hSY5P^iFd*S)Gm~UH!y2qA%}PEfh4mr~dN{(5h{O{yAE_ z2y2AU2Ew9N{Ep}14eRr6-cDP6IJX@2@FS1*@D#e(9Mi2CbUf%~6#7qd<@AaZ`uR5a zK5323D^u7KBi)x+IqK$guUhmRuA5+skM7N`*bhdSLuU6yV}nUe*k={&<8JZ&i@;wA zPt!>U(m@aJMk>f~&dErUKMC9wa*41_`!?R!P&jQC-?LBZLEO|sn-qd-UcF~MFF|n( z8pISY#4&x)ezZ~iz?gKDx!vJMqcYtu*qG=Q4|b+W$)LzveYx6SjgZ9_&;7WnWsHbK z&zw{3#ZCaxnUm5(7*&!tA*3JI8t&h0_D z$S>E+awJZWXrf`hw7;g`H?H^1SID&a>6s^AY454GbWjrCK(3UfS9Q`6hq5@9BRQ)WL|Jeua$Q# zjO$d0Vxmq^4(dnuXKS(EG>}FVJM>`^0W-|&1jczOd|HU!z|L}Ak{#3vJ|HrX+vUh2sLu6&0hLMpHj&+QLLbhX%Lxb!} zM-(E$;n?dOv#cDl9V=uWd+*Wj();uM{R3`p*X?z#>v=sM_s8SH>?S~ROm$lzbOG_HgBJ$XPDCC(=oRv{LtodmR|? z;G3G=*^~af!$%{Zo;aO34|X> zC53k)IZEMg^YwDM=3f4y#ofthn?(IGaNr~2J-P2*TliT|o?g$^RrSr<*)2Qz3=~3S za|$-8fI|5H0gEy_SA=wxyDdSDKi^5QPDH(aR*UD12>5R~^81X)6IH1$SW=$X9g8Z> zRQT%t5ptFM(Qg+PPY#-sXmMN5ge>SQ7?x~_{=Vf_Qtx4MPqN(>B@QZ{NAtz#nyVP4 z`+lhZibH0kc%=l@UX1=V#lmlMPWRRTlKCs@iEA8;YhPbAs9G_+zf}Wvw=TBUNnB&% z%9za~BjPRP=SBJj&``u~$jmJriEETVm&kkl`&aB=SOJ!P@f^G7Q1m?F7$@GPrlObx zA2QT%x&LQwD8S>JB(LM(wlb4zB{xvd>#!v@RNKp^eKR>+pz zKcN=uabNau|1cwCBO|WNX0XZ;oftfyL&NrWUzX z*@Bw4FOpiTePt}3ti3%?e;Z1LJ75u(o9HBoj<8gHpl1Fe>CX5l*VBzFjc{fU&balc zAL2g~H(^1wgX5_Y82tO;$}SZ>Usbo9>&!m@z9Z^SlIDZ4_OTN`!s z-dkwlbAKNr$8*1E)zd*%ITJ=a$C1Y}Io8D_yi?5;GLoik1y45Bv(h=HYgf(IuO)$v zq@8(cHdN)8Kugd>Wq~W+1<@DZ&(XR>k3#Gm6j~F#MYMCTA9wSe-IM7#VpHcs9xEmP zXdv7X^~X@+wa#)Y52~s1>Av}zYLXziFcvVw)_k72_Yv$3Rxl6@ zcBa+v8t9+1#ZovQJCMo{)wNjKl>#8m@yDFE-G)p^!?x+i4FST11#Df1p?(@4Km0WQ zGGa!DBbC*zL`)D=Yoeg^eVw~of2@}*ap#m77JLdXJG1Ehg@g-cKd5cBf?Kl|ncsA+ z-kho(_9Ei4jlPr2xx{>iT?Y5M#z~bGw5)=^92pH{i?jP zAyW(CiqQIR7me=QxfypT5MIaFC_h;I=flt1Nj{dMO6}(dH#<~f@*~i3tH%337J!Qq5vM zaJ>8kM2|PL3Jwg@PL@Agi+2XnH>PaSxGPnjt%w(b*rh=9!9|#;OtVzn#>FKx@eoN{ zp=*TxVeKkb2<3OoU?b)BVFXu$!o>JGTBHQRGUW4ZzvG+1EJ6bm%AM$x}0qd z1QBk*x(S)Ds{{2V7$>p@)sP`BRNsty0TyNiE*YFcR?>2zibDyxEvnvwrrAd2*?A=b z%gtLmAZ`d{!Uxpg#0R&Jjn9m4Wx6iSUbw&ASRJM55hdp+Fu$Q@s;a6ZJ~5$If?R6e zvK{mSM+XN5-f#9S?CWoUpuXF88~<{;9fVlS3Y9TG=+|83^y^T8e6^r3(%AoHenJ1g zp9Q|VjV#WGFTD329H8Pqp5GC54zfHvIg&lpcNr6ku6t#^I%nMV09^LT2W_>ut_?Qb z;*zlZ`f5x2n5O6^l0rHnzAY^h&)mwvJBp_W;OtVgMpNOmhD2{-BHOs<%M65s1oIbDou8$0r2Ws{p#ak6uv?L`PQp0@WY^u8BJ^)Dx&(!u8wdRd_V#y0j|)v zJ}2c0uvMEH2*-eJCzqhGzPzeoSatFEC`+M+!r$oGrp^Yqzc;%nh5w#i%!d3%c14ap zA(fd;sQrEM^W?kt-1+#o|6I1=2*GP)o0mNyekk)vWND2F^N_qp+Kfl5`si33&5Dbv z_x?$2v&F8T$GrL$a{e(7@}W9tV{obj5&9=axNO2{tIf~r=2mG08vIfeRv-imdjKx4 zU&w1R^uR39O+T&6a^6qn5ibXAA)k|9^d^v_>HEA~PY7YR@-$8$cllewe9*HE2hPt` zFK;jSk!xCZOA=&I-QyTXF~yL>NWxf=#Sc?j#96QR&|$~M3KgGnkuU^h_@_e0;_%+w z7jE<|&YctH0YjGG2cLG?%4B_;I~GCI$Ma1IikFw*N^5%5PsMt;rV+8Kk(%?J>QYG% zB3jncMPQO_&HWR8w^0|^LCnPtZtsinDw$bT0pFnibuXkJlv0V0Q%)8vQg2aIHTqlE zp20Q*-1*JEnA&Nc8pzM0aV2B1L|+!jCtp4yZ0l`>;XKHFZ7z;!sYhHi%#T4v$nG83 zQQh(>i@|>jCN!QwINi$UA#>}7Y9<_8KJcaeK1=_2mf+>S#-?kz)RL2I)A~z*a`N2T zBl8Sj)-if;tO(>6!HLRNRYIHE*FWh2N8@*11ei(NcWz$IkBw^w1K|>zI#ZPn&s0vz zR|lN}Ep9J~YeCg=J=Dnf;0Wb`7gNHob<(XXn=IEziRE(%ICcha@-V?YMVy=`t#1-TwRf9R#Vxhp>{>n1Rp%JAGNs1`o!A7O<1*rmNYNe|0s?G1bWY& zBzJg>@&lBt2py8GW5hl(o7{OR$t7r{UsT?of=|Td+{k7X9Q)MP{bd6dW^(|(x*K0t zi9CoRlzuFhY;bZm1VcT@K|AdWTcuy{&C;SJ6^HrIkIk#(enB#XdV)a6flN|MyrY4i ztsf)PWW$=FOCH`&RbbU)B#EZtwf>qDo^Px{?fDrTyVJ)*`g9_%5n1oo7iq2+ zSQ5YfT5#W5#yh3$HM`6J5PW8kP}q!qgPU}dKqfJ_ClehLqalLwL^$S1Uh8<%6LcQPSw9V%^BhXYuuh(T-rOQ)@Ia? z3qds|P#H4sfP$%Zxu?&qY9rW*PwBs=Gy>U7>k(H+quQfpQs;Co1wJnd+BPX_>yeYS zMPnF?tuj`H%J6t5Pz3O~FJB0+2=f-KbnH?q$dJ0r-{2|Sik;?N)hpOuen3xSF#os? z{jy3qQ3fggA_I#wdEz8!Pf~VEVOOgNLCnlU8596+dN$6;XboRV%9WrWgEIkY2wA_rc0WFi8oh8b$o}Zc~V-%*d7eIkV13bP?nA|IrpP#bC7slzR~J*QGZa%t7MmQ-lw%yXIE2^2m=0|g_TW`T{?7avIha9&%r-QKr;+(3}ON;Un1o9|Fp?rQ;i>w1XZs4Q5f z9!hm!wfZ3yU|haAEClV|%0!d=N=}N??aa_E|HbygW5<_a&@yKLU?$g-WU^u>NgekB z6ccw~?-gdfDWV-+pLIZc>~(M1CY4`~|#_ZuG+gd%xazH>DAmLOb4u9%a{y&QT-75cuU(R!^kgr#G zs)wnVtWvV})8ox&cQMGnzmw|jXYXg_+?wUP;YO1bnqglkwRMJ5Fd(8ykixv#Hrr5J zoe2DNcMx;5{~e{mCdBx}^JOSjy#XrF_nLZ@(UVH6*lExfg-x}qnRB{IYSRz-yy?e) zSZFyX5I4?S9r2v^`$Gp!A;nVaFXetG{O_Fp+d*+i~X5e+%CQsqf~Y0fZnWYtY`Q8ZE*Aqp#Nx@EmkBF zB-{tp(BEk0jyvY_^PntbSm6{LedDwIp+dqd6Mpw9r!+1a>rv*xi}e`t+00_etG2 z$L@-U?0seB^c6wrR7ACYny(LHj09u%3zcfy(5TNTk zi&bkjj%P)JL#&Gp&ZR%a&@D-?KYVx3C>T!kPbBul~z* zoPU2TwF%ATSL2R}JeCji=hiN#RVA7Rk`I_lmaVf-Ht8 z7GC0C6d}WlRxuB9kX*PZ@Yyfc_dc8OS6z>h{=vf{oGjBtG3aIeC8WSVyxrTXQ1wIC2wP7oGPum(4DIwCh~JohIL#72 z(yc3#P!ynBo-ZYSAgFtrF$5Y^le9=T&6R^f_Bd)5B=-na-F!pZ;t@V66_Gq!k1Vbec+WdPS{#3wt`zaaE7Z`zS7_q^}<15?QQ|942r+< z^S4qGlo`KOg+F(vGxLf5P)lwQ_!@xl<}buZhX2fbnd|tYO6B%|R#T4}*HX{or9vcs8s_{`(pR?T zuWbwIv#VP?Rt5QXKcM{(7um=#G<9HF^oMJ94}@pp=o9`#qMVp^v2 zw9W0%E%UEnd3wP-2)`(oVXjsNeh$O-?A~C!_X&Fqx${_AF$S}VZ(pDfLj>ek z4(PrtdnB=xu9I`tdyakS!1>7-{5!X?ShSS?n9FN@6kD^@60gBWga$Tt3SU%xP!$L) zf@tx}&5dySbrx6i4%J)8WnX?Yj-7-EQibp2oX$S!D+2@c zpy4ylhdi9b*4Ps<;MT(x+0_1*(vHqk`E}-4Y|YX&CS0gp8X>-a#!;)ln)rD2){ItW zBzd+Wle3#*=)OLz6SAY#;GbZnoL3~PYwM%@yW0p4xCs{Mj8sN4{ZtI9!frq+{4{bfqwJYWaTds&am zenS1S|KN|~OMKgKku|#JRlqUM*ogSiTKc6MKn*_}FJe->3}0)*q7NoI0O-1+llG#U ztN_UViY1vrpe(9mKe_jv#5efAtET5OIvbH?0;NY@MU0H<-|{Yh>Kfkn^R`x8wqg7l$43g@NsgSn*h4Fk%+b`Qp5a0r_ zOo6a=d{rP&6Qs2WIM_@Y`W(8jRMe4=Yd%W z($78y!o#osX;?VDWD{YJzT`G3_@BGKT(~0fZ2_C+otJO{e>H3hgo&FG3*8)7O!9!d z_biIn*;kizoF?X2j5}bqvYpNrMO0TC--(4XmzX0dH-3fGehB%Dg2Lww={!He5MfZi zXroZ5RL$5t>cvW@S{lYOLF)efBgzZLcl;=>pr-Dczk}50zI~o(>lErWmKp(p+H4-z zk(U%uYH9mztoK=pgAmMvG9OnUZ0}JkWD1i9%b!^1 zjek6M2?}yXo$e`VdEnD()UN+Q8Owb4@LxmDLoQJ2Tuawz0eLJX^KkU)EZ;~?;i3J* zG|XDv0sePE6L&OoZ!krCb0)&#zbbqAULr%?PSM zfEAy&YG42U*ehG$mUjvNHw(l~jMxurxFlxL+L=<03oeR{C+nL8dE@?p7$&?qPdp>{ zCQu+e*W0nZ$D8tg9u%jJA~77;?Ip|ka}@WtoBO(GxRy4kZ*O7ROIFp&)@S)V0n=9jtp4DSG<4~KS57Yw*@~s{ zlpv}6)Bd8P_Ne-7a{sUOjBaAw^8QzITq_Ly?7?av;umQHEoBOV(GrH`nq7<9GG5nj z`t!j#e`iJ>`H?w+ZDtP!v(%PFi#(_Z+m!6uE@AGOubru{^p!mhBRR?lI78tMn!%c3 zSXDp2^(!0HlJ-pZ+!%SoE428s8(QJ z#2?wa3t+lqYl0A{U9(YknhCDIjL+bkf$Hx%%t9#145h0H;st}f^+(qQuZHh@`M2Tz z8aSm=^n_2OSQDI}ZW$eN9}j=9Xjt6A?lSa8sg!yaQR3Uqavh)OH(>Rp{dyBEP@wqa zhF824F6O+fKMnjEfU(R*`JD}EC#sgyYCc%~98JV|1JNiakVTcO-&B2)JOUJmK9s%@r)2^8ARtlNK26J(>&N#LT9@0S(%X{}w z=kx;baL(a5uV%o~c51v6Hqfqi{;XVcEZ}lWv120nN-PHi}(Q(!NleYVOh4?k;ALD#ka@{-f!IG6Ux;hYpd5(@F7@CYkAqjQOcG$AQCF<$J>$QV zr->iAF7so#Eo!=uQ1qeC54d&#kGKu#Y}6AZQ!2R{s_r(_4J1{r^esLG1feE1&0o;U zwY9hb;{p&R@+tXvtbbit!3z*jI>1L=(D--FH>{0f ztK`nQEd6gn`TXs)miR1dFnPHA{pLw#sqxZ?-JZoeE+ic&h_Ep-#0Vm89iBt)8nYk) z$Ipn&>1i61D3Wq#T(45BtS;nzVKOS)H%Yuh;T`muX6XwG_gg2KW*%EVO8?7HHAO)} zI=??H5?VK}_x`{mhX4{Mg32t7Ip+djhICNt@GHr5@LMPde;9m@hr{bRrvYy(u2OG= zr1idvAru*jV$V8{6+{*Ypnq7wIl5-VtV@e=S{I{s({s57=1<-Wi92#P5j9237iu)# z-JfHScXN>~RjB#7a1$`6_AMJ1p2o>8F~sZh~I9RF#)Ol7b+P2meXQ^lHEx$ zH10!rZrJ|cv2#;f><)NEWh@xB9|5m^J)3;ZZ7z}Q$2(&_KRyN)#tD#C>hzp7l1#<~ z;8So<^&X2OD#+2!>f`>bRkadDvg&DzSa2|rnL#(jvFi0u!S{}6VYp_<3S+yMYb_Tb z{w|u^x6HbcHsYx82W~cN%;gyp&0)!kraXBj}NEl_*;aB%pt31U8z`$V&V zdVtQ`>a)Bs9AScp4nZL4GE%<#*j;&TQ}NBPE>GxE$w~8;u7!VTxnY&7JC7xTZ}VU> zp^Z~!8f>7ksu#@)F*3cr= zQo+M9kP$Pbx2($||9u-@IxbrMF%w=FmzZ!5Xc%GK{cK+m!^Syhg>TTC9e<2Cx@>8dkNngIZS6hR>p$6hUGK7$ zk|k9oGvfv~F|W2t`r?9&sm7?0$L$_TO!IW|-G_)!y=~YP<{wLoN41k#ehaIx zB{K<(*dquDsOMposrjQALY4Y$D`JeF*Lo0wleEF)o846aw1v+C5|f^m)Gf}s{uiTu z4kSpvoiC%s9?O5+Ze#z6jD@DsxaG?IL1BNod-yTqvEPaZqpGReheI%IOX;hI2ep;9 zE41J@6QJu#2;r)F)uV3Mw#UxuOE=iQ9)7zt_8+lPR!6^!+FOL_@OB+`$lZAC_Bq9m zUktM9lNp)&=jad4))LKBFy=e-|Q_hnVT5rjJ>Gk1XsWb z2+Gg6OOP`W4nb5G#4)#B-K+R^UbbUk6T|qfQ7UGX`v*$ZUuJ0m*d-#ZzxXL0Zz))Z zK{X1EN~oNdPf0gjVT6VeaYJ}^^Wi7Gf)`kHuH$8K4592*qL{6w5${IYK!VK6B7<7_ z`#ezud0&b2q~26PP2bFyF=gH2{#N-RE(ednM?r<(vZC!TaCB`5Lp=IZ=qM~hclWB9 zG9!|w((q^5C|c;zlj{3IgDHL#O())-KhHOa;VyL9T6!lyO+j?c3~Y1g?*84(Hj-BR??yu= z-0g4BVc|&20+3y!UgGyupzu<>0-j)?Yek?Gs0!;Y<^`$5kX7+y5!35H==5(-2sZL~ zZ(-qz-KAi%$-cOhP|2U)7kFDb$#{sA>OkJ0n1TosW5<@THuGZC6PMo{>`ocCSdm6(iIT-0G7x9~@v%G8 zolfM~+2iD1)K*0VYkiceGx=5KoZ(hIVyx-7lXC z{WGNk6|EJ#u=~K6lT^WE0~e zwYa?Y)6aTt`*n~&^I$i%Im5J|M24f+G%cG)ML^nVvJZ95S)XMrrRuIn1P zFE2)IjpAOcqgzkA7OYJW4fmp2R@*0+d>Vi&ng`uj{rTGXjUd%|yU*@veL1r&Ybu^* zcO+_6pTDI;<`g`W=(IKz5$GXAN?o#9r7+`D>S0|z`)|Kl&IGja5v68VL~hgNncUfA zs>8XdiioD=rxb`z0QaOUbZ7c`JnOPWOXTWcVX+{+JajP%fX0GL`ZJM%f@|q^TbK+= z9O%Fz8=ag5Q5lWG6~@7q{h92J>Lt)7Z3U|dT-`dX})Vi>lN9OVN#De@#`YUtM z%9WO;vBSZrT8ei4!i#YjMV*O>>%#lWl9qRjh!nP7ziEn(Nu9G8Y-&9&hw2|Lv6z(m zzQ0L}+prE>Wc#U78j~d%q?l;5mQ%Vza%?eumI$&A#0+cJ*Ags$))LNH(q$+|#J>V! z-o5Oo8~p`hlt_dwbjo^5*=p8>*{Uypwq;MnHKziOZ;+_%d|ocIC4uKjqPD-6)wBvv%6K`E^e27zf}Y(KN5b z-G$;y*9B{Dh60hQzY`&9{iHDR1ge~qO|*P!*#JcY;33m!$YS}!ded%mzAFO?zM&u- z9Ht?V9{A6Dd%9Y7llsCq&17Gi%+fSL@7Lp^%3M%=F0+2)!=Z`+FzGA%w$!9i@p@*S zKcIivn>VJ_SbVy-B?@mIB(#xmxwp{2zY*ZgtzST7NVw*4+ON=^F0vZ^oP=j-9m(B# zzH1okG;RARN@wpxi&dhrAUIqb$QQW2-XccuWoYUN(M;l>-hhw{C;>dZheVJCTA_R>>%Dj4?$(-=2n!ik9${q=Ley8 zq(a8Y%^h~h;7|?0|Gy@shLoJY$kyjV6mHHBT{b%e3)A}84Q;C1UeaE-S{$f)!tHe| zG{_rFy>H>IPOQd#eX9=tnQp&|gj9f<VFMWG0!;=M4f5PgIjh-7&J7XjGOD~RcXAu7@IEQ9hqK6>P@w`(# z3lfW7&j!^lo^C7IL5T6_cABiW1I4e9HV}MJ($7B=wvTGLDe$zg@zX%w%MEt*cm0{x zT*ruCO>%|Yid1)VrW3;ii$(%Id!k05Bax6CyJQIF_izaG^E`(yTX-$GQ^ER`yQM7u zj`HQ`H-WH8gz){G_Sxw+y~@YyDpE9v1Yx7HmaDzZ`>TWe!Gil^v07<_@-~uwA%P0# zX$LPT0){&ef)Y4P>tYw|3np`^5ntjQ(P?5g9@sbdJ&hBj#*3n`CaW@h)VS6%%7p`! z@vSDWI|uHM4o2?Cg@ik6c7|PXqZy{$^1N4r3)+AgHRVAWkQ~&frU}vDWf?~~asl+B zEs7SFFGbz65aj>RpBd<9MGhJfa5n)*Zs9{;79-SMZJa_%5Lputnt^3NT7Nc!JmB*MUvPb!~|1W)V5-o1MW`?s?= zZa?kTzI;-faPyuX69kJa<~FXpVij1J5RwP+SyLicoC76!Mora#t{}YLN`wH_tHQ zS*HCSw(I_RJKt|xfTmv*b26!#Uf?xG*c`1R6Fs} zYuxkV8u|AQ>5wi5xl3KPA;hyV&`k38a;)b6Emh?Icp2a0s}z?FihNS#$-c>F7sKFJ zs?!cX9xfF0Z=&UX0-Wg9uX^!;@Y*LBoo*UD1&;+Np+`Y6R|8p4Sa)^e_U{mEoRw00 zf)!kt)%(fk%FuPTrN{67kk*+X2&57HU%`@Rn!%(ESKoul%%D%T%27v4b1(xT3Hs2D zsV8zss+j1Y=o(k!2kl{Y#K5IPoU@1WK<%%(P9dAaRM>ei3BE#X9lIM5_a;LtRQ60K zi3rD5avYKpFPbM|Ir~JDE(1}Ut;MaeAs^(gzTKA2rasQ=bcu9+aqgQ=v1NuYKTaxd zAXO|Ggwhto)NRpQie0Pf4?3yv&Ak9`ULXSEYu|5KcvXzl-`c!Qi7U;}gGA{0Se+lH z`8O9PN$~C`pY$Adwu!5v-ZXuF3Q6WYa|HK^Ng{t$H9oG~C37HE%yMGZHcb!1zCAWU zAg|hhro^E@T&eCOzfeT39=wywm`5dQx}C$k!q2mRiMK89J8)L4$$g(TN6wCV4@g)~kb$p2~i5#+AiAkGqkQCQmF z->q~E{9U+uOcfqLA~RRY(AKl;GeKaq&w|FPKnfcYuX_koXvsYfgR=s*@(iRc??pE? zVqA~i4JVP2B`Jtk4zo0&vnjDgU$y*7SZ(2Acb&Z$RU1W!gn&sqbhV{s>4wl!PnvcE zcJOA;x)6%H!Qte@QM=^eQc^)T^LlNFMKqn}W7(YNT(Pn6keK3TkhOmGo#WdpGe(@xm1rrg|RIBvT0o>5Z)G#$$mj z;vt~O+#EFjetV{=C)iw10`0GPH@>n^7XF^7BYzZ29+7$nblOf!0dwI_Vp|8X>;r{k z8#(U#!24cn*ib^h;TKD^1jaEh1R$=b65lt!#|>qJ(_SXOX2mBATy)4mBv&1&hPqEpVz`S;UN0v#3#-Ky;wUJ^`!tVsX zu|+QN;s5HblQOoS39o-iVQtoXJ9%u&{CUqS(2R~`JibXTNbOJ2X|3RD`H1)FEs+!H z^_KU7bCoso%=^CI^Q=b4i>@EhgL|uf8!4&ICF`0g)Yk8zuMH1!C==vxfJ^s_WZKn1 zio64I7Jn{nm*n(?r`*9xg3x1Q6(l5*Y93WzZA#`G>iVHuElXI2)x4s9VH*%A{al-; zO!c!tugq1!^79g&pai#pq_WXx88WoX9~Wusb+t9~^J0@<5I>QVw=e}sj{D@;VQLQr z^~~H%r1NGMqX0r{cV#X?a_m$6P|-_elSpbMA-v3d1GeXeIwtBNOEie(a@(uBgQ!VE z9`?L*rqp1PZ_a3e;~U{`3ed8Mah{VbG zm#aRd=NH`n4cXEC;N{!Bv#kDDKgfap&YQ|j^A>7Cg@Om{ikDCjo+(>&NNKE+8TK_T z2|3|E5J*u`_K{=DhjH;v0s0mfjrnM%g@sav7%hHjK2j8e=_HUunFaKD5OQ1&FU(~} zCqXph1)iU_J%2(eudfYi37`T6pxM0RnyVhq>2HwvXtCL@X}U|2;z1nm&5w}{%$_`Q z)*R=UZI}&`MX>;9MtkNISnEE1b0@LGcEMB+<<$s-cLd@bULtmGddOtWJ>r&GI>?fU z1~KA3_U7@&gcG)A&cuQ9HM5;1+PUl1pSyu&GR#Hes&lLAcAhID*3$%-dxeHfuKi?qiiS!N$pY@U z*C?nMZG}HgJQHYHA`WF>J~osy=LLWI@b}c;!u`5E~lN0e4h-XHuk*PF~`#kjOc4aFk(?IW~ zN1tO5f9?pTzA(`KWPjilwi50564Wk#m026Uz9;pF$C7%$M#=AtSJ6NH`L`p67Q9pH z*QyCQu<|vZkUjLrnRf&TNCvk9m>bChaR~1&ooIiO96_qu} z6}pax8H1{&HZDjA!JY}vpGH^#eg75~vcMIbvzVXUvK=jy!a0N@po*buZyMwo+Qb^5 z_Nh>@H7M0Mzh{S^YVui6nW3$uy5^0&h2bmA4^p8_xLTa-tNHcR5P92B`Iwh)eM30y zPAWeqs($lnk#$9dR!&z9gRO2!l=)oodn_)+!PG23S79Kb7aIlDFyfN1F1;*ykR^Fv zU)rbOMLch>P>sS%p-aX29mRbGGYRZmt{W$x`V&>a77Ggd)7A zr&>a2RjGICkBm!$1%u4;$2x3AhL5BR5gog3`8Qr0L~l8xxB_ccAneYYSJeBO{+*!6 zZ!>t<64R>c`=jY$I@>o&gnJ3!P555*G&h8#JABlow)i+#a*M4_Xgtkzv&A^pOC^;F zBMzG>srv0c?@d>{DZ|aG*qRgl#y~yfEjvgj^GlIujG>OkX=MW6Epbh^d9;oR9ha zaRA8PWl;%ppXT7tYQB2XmW}N}CjRs%k+7-E|atJsbsk18hfVaSH^ zlah{eh9WiEgB<>Bn!!yXJP*14<6J%pW}(`x0ZgHojOn}c)9v>wtE0uj#iRA3+65KP zr}~%u7Lk0n69ij|KWTL~$T7)I7hANLR|Hd!H;1aK9tytJ9ldXC8zxKhp3S=sz<8Gn zrS@X_lNZnS7ewwZ(345@VhEsQR=d2UN__W$Iu{DsMiQm`!YM~%=5-qiuNS0k^XH(dm?J0Mrk8kh8DG<=Xrq{4aa1pJ!8g;^^UhACXz<@lKEDHw} zqON;yL@=1X0*s~Ym(K!bI}M=XNG&*{){{LkQ5u@?kC=+zr^RSiRD;ct~(iTqe`Ia^D zbR+f3PF>i(|NG2sI!=F;hNHj*qMGHQHM|}N$olJGkP}=Ig13>ZXQKm zX=1E#BWYsd+$;>Z{CdT%I1AwJGE!Bc@&G*(U#^vDpeHQjR>Thr_O@qjs)`Mvt@*1| z$mU)8JPvl2``H?7HpQM94_;xZ&ck+$N;)q_!B*;r=|CsV0@V6RnpokAQ)Rn9VAUcI z%&rf5*;Sf<-Q4P?| zf|%e969mWtE*)HX`{;5$z(ue(P%q|Nz_j<>iWrzC`C?k%#|Un9>j^4R@$RkDf@ioms4*St*RPV{{0A=xtyTyx!(fv3|_itdvP*`F;(pFgl5(oROg-m4$*q<0TBsM(XJ( zn#Y|5-5*(Y-=Xvq!O^pBdkf+4+H9%22X1Q{wCc^BzP6L7`g^1C%n&kBOyng=w$@y7 z&v^@kS=G7G-?~PC=xQPwGZl)ldlubdrS~-Hm{$N8&4t)0Z#&o16x{CR<-*U0jmTB-si5Ymmg z+dlun|0RAQy!IKAD#h`gt#&P}0`;H3%{FG8edhQqQbj?L6YA zU)E3@Xs#`u3K-Wy4?kPtwCi^W)!!lNO1(BCS7p9yK_%;l`?N&z+Qiw3pE z_$aVg3BNP_JiGgv!V*(+A)ap8hLF%Lp8L3zy34i!+e9;H!P^+N zN<#*}mKIrX9WAhkWm_t~Rl))kc$s?_qo@Log<~@0F1t=z+&!+&hg#o=o|h13U-Qyy z6t(tD9)N8z*P?SLr>U$EZe| z$5JDJ6`U3DumSoUzMoE07MccbOdEOMp!ZK=%ot=oKxN60RH1Ince{_>*cFnZO=M2pB>a<#kCdmxjm zjh^@FyvVRHm*#{8&9W46gq1(r%k|ahewmrTTGzqMllu{`TQ3ArKK5*P>k>hZm`Vq9 zAT#$ZtXM|%Nlgug8SUg;9!FQLPHw~o-9`L|ljLbIz-B9nm+g#xlqlrsEc^=(Y#uZ>$Q1pJ2s`$Sj2DO{TL07`SBOdt|k;`g~%GShcW94LnDTA zBoj75fw!Xey?&#U2NH75auv(be((MP-w8av^(=gOsEoayRPP${_K!pNg zzE9kGa_N^L4T32YftpCBnNX_7UK|`im9x0d!wxlmvnLC>9IUUwyj!qq=CY)8;?c!o zb|=kXH`hjAyHqTAm^%y(Uh&s$$1DUgw(HJ=`k&rtF=?JBd4%yd^PGB!`$w@Yv_{ekr#%k z&ezIgwZ{^$rOn|sE;=7@aJBB(SX~z~)_~Fse5h&OGsTpSRW80j7?$8X)rq@Ppiu}V zV)$KtDM8Z6%qF@Vg_xUTa5#UVA@4^_anoA~ruPS4-Kz#UmPAc=V-Qen^y^sf43Ci= zw+G)1%7R~CrVUKZpM0pVjLkfZ&nBFT?ZXAbLEwEiGC&ER!T+hgZ#jGUW|47wyIe-U z`LSE9y2WkmoQ+F*`tK+UU31R_De7}@1^l9P`))vtuS#Hio-h}=#P6t}Nq*A}o2$`9yu;G@1d!mGz1BrD!+M zt_J|9_rJmaUzsSQ6e2nf0#}wG4Q?SS46$3dWV=6PeC2|SJ+dyMjf?}ui7I)snnB|! zK>(@-pX*HI9x><4u!S|=OoubZ>7;(%;)*-tx{!GaD(o5|3{E@=Mh9|?zmUS$hV&mMic_T5&KKWwBt#=d}6>Q0fA*DM@!ldw)N9v zAA+e|5H4_8Nac}8r_{Y_#M1iQlczWvOrIPa`$**Uv)~)&4kd)mRSM6H z!>c%`8zb6INj=W>r)cU`xAL`ZQM@n^!1Xo@$pZ4MKq?KK02$jj>zPf7`C6RMKC7!W zPzZTLQ3`1iqba>!K{iom^3nM!@y}W~TR*@p$|9cXD+vl+#DWP;H)HaGuW5_x*GGK~ zV~fGB#S#I$jC6?6Aq1BFPH5)C!r4RUs9Emq_SED6z^w#)%eQhN?0SLHS2F(HLO?6 z>2xrtrJXhy3g&nqOaRDiM2m2pi@XycUxcF8SEgeJOZXu2GNN|31`rR31VAW^C-HB3 z$Y$~E)HUl52g?*IG}gXEgJXMTqBlH7z+0kGX_xo3W$o93O~`ZRe<@AIa`TB>GJxf^ z9t!DLgZ8D#(t3N=UJ@xZ5-j>LEd%-=6{fQ%gsE?l$bqjn7`|xmMt2N0&Qd_{Y1ne> zYcbe5^E&lBBl&=y{kpH*mm;%kIYVu=&}(n;yU`ENJH9j?D?AYto>a3hwM@>>_9Sy( z7u`C?kPiKldq?{GY{bc4BT zIY|6bv+9XQD$fv<*dYu%o_$QKZkA?Kt-H9J6)W&#h*r*5D~LqRaCvk-sG%<>F8*^xe`Fih#!@fVTM~3<45R8 z0TQ)a^J29Zh7Z(onR;X&A!Hd<|iVs_AMV*9Y&)*q*jDht;qeSViu) z!}xG+wjQD2gFV8907PAkzwP}W*-abGHVl;}^KmgNMw!ZwC zjxU1192S&66T4>cG0pNEbGId5q_2Mo$b$tOOOsO<+P;lIHHy`a6$OOkhU5NQflScz z*~9mItlz-nj+K7S1X%`bQ9YP069G|N3!RHQQ#7>^OMuBmrvwWBWXusW1vug* z;nar=@zYr!r&(VCfa(@C71k%c58|*c_XtIAaLTDK84TS`%DWYi_puz6YuE?-jv^iJuxPaFtkg{8;%V2tn%L4hpz~;eIao=3rh|v$Te7e$Jj*z&o>-xf zbZ-uD+`oj?{wf!`;MO~tDe1m;iS(hWR}X>))!Zh70U^HzZ10}HP6T+6_--*%K*)*( zx36xD4n;JW4(QV0=9(VS6s*r;o;+XYiyaECAkSGT$-<6Y8-6skhq3>h42APTimp*c zni5!Q0U~_l?6YZ`Z1RXSNjYE;1XbDwr0tfvok*}K{UX7<8!&py>w__P2WH+7Rt_Dx z(f&Hf%9jMwjy(F`cQp7nI`x1bGrniLH?4c^koLHVC@NG zsLf;KP`a2`=KA-y<^=hABN559mRJ~1HTBg3knWB!vio#KxBqqw^srtA?yKF6!efzU zxq_aaIGi6A(+~a{2OSmp&()IPPkNHbQVKNt8Lnu?H8rd1M;s#5$qbT z{G{Z-f=%cRm%Y)u)baNOd>4?izi(nErzNppt=-lowJu}<^!_zbCg8uVj)=aSnD#f9 zcKtO;Q6RceEUeUUQ4NA&tM0L_mBxc@D{-DnMm~~|T3Y++9Jg>%4+tV+0YX5A69)yb z$C0lWJBX9S#$V?cFguz6KD4*6ZFnzt5K)GQ6m9WscR5`ofR$El4lf?}_RouZwowVr z(3B&O1FO57S@zuI3Vab3;YgzePY{!^+IJNTUwpc)th6CiQ-D`DMtE6?q^ zSAAJjU_`>i6((T51010Hf?^+UULEm+lVIbm`baqS$64k<`ZDFRaKIj~H9U^xmoav& zfXAXvBK#L57mKkE2Q~4TUmn7$DqEG=#My5xDbV>XoB~`)0G}{8vu5c=@8Et(xVYLi zH|eljAb9g5IqOs+{7pNS-J+=PaHP+p48b@-SZZIfI<^0x*dM8E_=uB-e4Jm;z#9)_QmKWWk2l^U?oaFF!3xuJ7i*84I# zy0k68mWb%`szL(+L!P?%9zJ{oZJ`ivzc#X9WEW>5g3B8%0=3A`0_f^UTNwr`2v zxThZr{?*)(JDsX!0Un&+yRXv-jq9%d0tj#5dCpCJ2NvWzZM9vJ}`jiEHa?o0uXf~BoIeko9Ix>-Hugr>hWJ!7dgvSO>HT!2klr!U|&Q;u` z-M#x;ccU8$zUf_A1}~BcQz;{s_P)^B$N6@Bp}|G(ThP%w5kK4avdvJd6S~+j8cW{T zkEP%5=i3XYGC7UIJ>QL%Gz!%RQQRqXJ-ML$NeLxBfrDfF!MJGr@_u$vJm)ns<=@MK zwC!V^fnqaaxQgRHja|;FuQMUGy6(AOwl&NhJ}JX8sPRVi9G$)USFIz7wtpB!_qAyu zfGBN(^yR+eBiJF8RR2t|#Kjjf%tip+D~0|Z#`OZ|hMbNstl^cG`NLwQv)Sq?(Qc;f z?8VzgWqplB^L&cgJkez|i$N_odrOx=@0T+Px&l{E?+zK)O8}WY?xv5zinPYsWK5Q8 zqWWs|>)!7Lb1F}#JR+1PIR^7~?BJI_F(WofL%+t_ZndJcb;nH2>qC9Gi}{E>LJNP{ zb43u2E5^LKN zVK{qOQUv;(sJ8h5vxV~q9RESD)V)_3Q-t2kzVR&5mzP>f-lx^9|^^1@_cAvw-TuP7)ped)Cn|Dds2Rh zgNj7~(1r*ru^&WKEB$}il`IyYnn#j}&TUkZPhK)6_)x2u<$neRmwqJ~$iS#hDRerQ z7)$T*hmDrWw8$~`)PbAN8V)3k+#0}Dd~Q2@LkVE3`l0L3$nQ*G(e7PDKrT%KYO`OD z4^QCq!8<30BSA(l4ZjSoo*F%h*mMrG=vSl2#rOnuh;C;5I?t zC%hV8qO2Eux*L5)877;1b71#+^xAwYSeL^RiD>(BwW3`ypoZRKCc&IN@0rQWw}whI`35LgE~>b3;DnNO64Sa@!ug1i@?&d->lbK^(azz_Nm z-3t4B_33IwgGNByAc&#Exmm*lWR(nG3bED;1>->(hvWGb>e*u#u8%*2 z012)>y7LxlT}S%a{%Ou%rf-HY#c34*3-<$E^Q5P2t^w3NSN=H^C*#KZapCwJ=#{i% zyu_0_N4F~`h-l@h6y5(XPEH{erxyr+x}var7po<8W__0d8L;>~FYj1M=glLBQbJh& zZNE)f)0Nvzh0!~T{S3o-7AJsZ#XPV88*=LTGAQcCLL&^K-76e`0iob&2+qg?b;qg| zBr(XBQ>Uu|DB8XIa&Y28{u1i$#ubptgF!`Y48oUp1eKKf3AZ~A+thEKt!&MXwR;s6&iz^o)()W&cD{u@wF zr81|^NDkP5ry#a9y(;yo1;CwIJQeqc6VFid`{L;sz?lr`65>30MwsO>moBrEX$)g}dr^B@PdudJYGenwyt7VBBfy{_~ zLvF!hbcfa@Rn+^mrw12grYjjlFb@4-*yA#gSrX)lYGkfItOzz?U)JthR&IRS?|+W~ zlSE$IOtdODfO~6VQ4I7Oe24=ud#vv#dI83>v;`0_EO4ftZuOj(D7qCedvwjKa=nxn zQrUazh{`<|pq11!E`m;l%3JS{|JThnPJrM6lo;N^Ulhe41GCv2mDtQgTB}a}PXUjF z0}x{4Uw+_{(a=7>qk}D((%}^mApq|Z_|Z-@k%wJJd&eS6NNzW+W1o&Fwey#=7iu`Job!Eg+xeMqLL+W4ZppHJp2Z6 zc`dehvm@p4kqPL!DI8oVFE~OW7)LU5#t;)04_y$gu#>SmrMLi|b)Wo^e~v@VwV)`8 z-aOJu)+(JX)+?nBU8_UINR%?DY~Gu+-%!ZM`gEU~f*_|m;^@B;x=&9gSgCcM`qDG4 zkvpMCx2DbmrM?EhScbelts`o*`?*g2E+Oi&W@bfDj0vvE)0virAs*s@PJ+1bIXdYX zr8%a!aju8JBKM8RJ+}++sugh`vAH-wnK0h_jf`89d#9N_017Q?o$+-9q;W!$=xfGz4)|Sp!n|PSr zSX7E(*eyva#q>`88-px5lntFs^WfYN=rq`W9(>#TNKm)|*(-6wO+#$j#H^7+XrCQ9 zA#Sr{(GXw3z1C?2HRtl7M-%kK52iuC_3D7iJo^cG=2b+vv3c3X@sj3`i4tyyT#0o1 za{k#7Ucgpl4Lc_r|1%$xl=Bq-1x>0sK?xI!g2#0}_i;JPdOdh&UkVSOJQ+|k7+{96 zFQ0UVz=9t@`?H?~*o@m~m{JlH^$*)LT)IE_l=7N#*^T%Yl#J*#gS!4Z&_kGH7MJYK z=>0Bo!p4$1Xd{hUz100%vr@qWS$Jo!GV|lagJ&H6ngGb{Tc%sZ+?>NSQZh!I1yap1~gIA&Aj=7^ zKn?01(4M>(AbLSzUz?+z?d ze};kfZf&>H%^tsE&|CuUsr{;q#wm}*z#21@gc3N(u3Bzy>SEXrSm)RhWU3zTmra-S zJ0t>OSa~vGT_>ye`E?Z;$o!k#9F5^`|DDuEG$L}V2z^G)dKeKmWr;V6S`MV8Qn4V}fViIQ?LpKZ%VijVYr znDHpJb5KoF%i(@4) z88K%xOPh|w^cF4vd#%sC&~E2b2GIBibi|x{+Q$`q2}P$+Nq+{v1*xa#a_TZ@Ri`B>xUFcbe7c zof!cxGA8=vp#@~{ACtIVITU6?!1#fDQL0u6$dwga?z4W2KqiAQ8&BdPbUJ1aUN~`k zgvgFf>H|qHsmBXBBcZ9xp+gpPU#BF7AK+2v$pk+KeeCjwmV5)tTfP1xE9-`H|#(Yun7;-0!ciGRP;nxX7fHbt}aZF*2-+ZtwhU$PipX%_V`t-SH%srk5H z6GR5oo17z#yZ>I+UG*|*NB!a339wb`1>&yX5v5A;6Qasl5pM{mXnZ)iSLN_8E~9Vz zSE7%ugh^AYf3S96pLo_qbpH(4wjf)%pO5b;Ouqn+(5^-+n^`9+jAN%w3)%?5xH-50 zg_SqyqYp(M0JMfWl{7}YH_ujC4klWRW&kPY6J*s)%e*9g56rVW@)5(=zMo9D&L+J5 zJCk$kyzrSovRWL!Zz7D_If7Fppp);Z02^Ng@sl{=oaT*|vOHq@3e+W8LI8=%jEgmV zyBE0E_+>6CytE>G-5 zYQgGS+K7Mtm~g<+B5*qgY0@Nb0W3hJIfyBM!-?(QGt?KLpB2e6H#N}VhJyG`rhaR* zA`*Xu0DpXUu$5k&`&3%r*={}C`gmhyE11zue(K$E+gtzGNKnwf^Gb6#7{571b*9#^ zb71N`u}ZakOdf9bMy%?zpK*~Oj6!5aFzhf3WSpHrLfL^I&(EECDiKC%J3?5C`>aG= z^9qy=gMgjQv!@5rKFB;K2p=|@@>HWmqaVqa@tIe?wbd_nB(lY%v0d2=U8z`kb`%kJqRF1)+|UyzUlHu=f$6fP4$Cd3;2EkNbixBn2CB4NQ!z=3SvFz z2~2J|h(v?ooL#~i0@m;htXB<~YavR+7P)f2iK^#hMlQd`{yQ|E`K$b1ij*uJZRAn z17dWSOa!B$oo7t$2&L}7u*atOvcdK>{6<(KnZnA`@t8i{&F~*X=Tzw>jcAWcUp4~y zTZ>T+@yBZ?y;@tA+tkwMjE-7o*ZBefZcV?k6aNzy2uw`{1b%=0Lss*)7+G4w;8z!c zW(`KG3ty=;Sp;!7%Fp}Q7*zDB(pyy1afn2*OuGQgeS{v6SbwkVeLQ=SEr1r0smn!L zzlC{yKoiFNU`y}0h>}etQ<~c-OT;dBujUQpBTF&yWI{S4S5uEha@!2#vZHj2Q6-?s-8fozrL`mVTlxScDB##(CN z#byV^Mj%X&{NI}rxHX+Dz=yh4-`Ki*%<7p|d^%=%@%0up>%Y0l>07hN%^${=)Hy8c zfG1Z zTqHb~)SR?*Et5LeC&5tEZ{AOcBPW1Pfo2h3W-7l|@DgAe}vJ8KqeBE_0~h5D7A5;+IKP!Lme z3fDydXWE0mrt2hMr#2F-|#dfgmbFc61u-C?j>4~Qvz1#+5FrqQG8orevKIN;3CRT= z!g{IGc=5(GVQK=jFYZd719h zeu{^3`6Bpu)T+!e>DMLQH=g`E;wB*N@Pi4sUKbf{z61R&6ufUipkCEYO)Y|JlmBRO zbHzEy>j*QV<^+v)#u+bM1>3f&4qm?8cTaSK)VD2-z^!pNOl#Nze?qUTPRU)6()y8y z4SaCCvP^+U)vSP9Qht5VHm6ysA6Y4SKpfA0240IC@3DAap6;$AS{Rqqc$q5<)6YV- za1V-^Z43hLY9TO9Ar=YUQ~;IFI+onhE@V7dSlX1Nk)PUEZPZ3%&r3Scj)m-^Tm*9h z$Q6R`m3~47xmlZ#)%i|js|~Z~mwKJ6mj9V&s%dU~5URfcDu4o6XXUQjjRDH%m|oB@ z+D(ra{QyHyJ?eFJ%Dtc9mz2RZuL@XGHAa*6pMcz%2bCerk;n>6bB@VP(!4+~ z(;>#pt56N)MOj_VHW5>ic_+DJVd%T^U6tp<^7tJ!f;X03aBwPdB(Xf&?jZ=9 zr1~6@ICx0h?y^VVO9+93)tKYJJ6Hd#4Q{F-}nyY^--|$&-nc8{_VzO2eAp zGiCN*b^%mSOJ#ySHkRkRvk4^K!JLL&JM+q7&Z*H!8Gb}o2?2(vQI`GSLf>1AW*~X$Llg9m zdy%Tu$r~~Tp!EmZP}}=Dytn4pis>H}X=GED0gNG#`l@4dCz4_H+j#&Pl53mT@}In)??7A-^vOsS+3w=6YJNP$`6tnf z--tgKvrA@I)9H{?)25G5-ODV2q!WI?0X--cjHZchc#2|mHbj2|!E|mUKLi4SA@K)@ z>bZZtgM(o??@H}z$sL!)MR|`tLU#iM?!MVW!cy{xpzsa0NN{FXM@_@SVVy`|SCXMSP|T zcYUbBE`Af*w)TmcozCaOx9}f{?yprr zTEFXIgCDYv2N-j>7&cR=3WRmG@sOG`R}UbG4r*%oyHxDGDcd={F9(!J4-;W==8VB5 zk1h1cz4rkgX5x=l@k4*2mIs+Vq2!lrtRn`1Vhb98#1>if=Qo^NGry0^hTKQ1`J7)Bg=^bpoHvlvQh$p^TF=;A8 zKuAlScq@334Y0CEjp8oKx zFncoh^4d6(ik~mODl*gLC=8k&ZYIQgyRb4P4_1vkPum1hoQhEXUl4P!858Ukz zC14nIr@D;RBpD6wE+XqC)R!(+6Z^gd(BMD~L6MjZTC^#v&t`LYExxw*mmN#%Y)j?E|8Btv-!FvPWKtjBl-6{9?&4yQG@-KH)|fOk zynGOQN#hVA;Fqoz$7??T(t+C_;k4^9;=^;)L{O{lKI5)J} z*kqwQ)#epXyc3oyf_eb%349?{b}oCMXS)%;ZWtwF6Z=A`NY)HHCjA1Iv5bIG_}?5C z#k;AGf)Ce{uG+!}XIzB$!2=w(sxG$TUivy)x-YPMXAYD+|AJ5N1Y~+VwcfZkEgY=| z65d6s!RV%EfpcCv9eLvMLWvOqm=^hj#eB5)^(hj3p5sbWMr=sh&^Q{B8V`trZ=lYT z8&?#JU;T={=oI}OZTb`{u*KH4+$zC&Qq5Q}*%8S`Jkj)=U=^pln_hBL!{+sHKHmfU zl^&!wrsqj}$QTb<`(@*oa)PcMb*xYCG3|hk+sLC;(~(*hiz%hir&-d}akg?f* zM;GbJZqm}&AT9dg{+G@QX76E5ltuDiH?;g3_2U-zKwhN~hb)!Ca$RQ>hpXMhiT_pH zoyopaa$mf$==xS3X+1lHP79K6CFT8pOXL8YSJ%Of?{V_fcs9P8zmM=`f+UrK=u}Y4 zD%OEFIUlHG5umfO0GMw2PO6(Az&8TzaU*CM0EUJsM97RR(6kTriD6Q-o;BKO(3@@& zC&vQ;Jo%PI@{IKt96a^_DGmur+G!KUVMM*z5(0=47CWdvNT%4bcZRPWf&tnLv9Omz z&noZ!YDNKCzE_~lRR(6Pr>`i+0)`&Y()_y|4)p5mL*nJQ(G5Uc5RMr_*@-JasQo50IxRR~x6=<|#&Ra}bIE{9UbMK>W_` z6XP0~>P^t-e=kvB|Amd~Q&v&#v-9h62aN3UA0OjIKBxM|YjOu-oF|lm9kRu3b4m$M za|CxkA*+S5`&MV3dJ2{i&HU|eso z-j#6*cTNK|qh}3BV8!@139cU?xp56F@R}8Xge|B= zxj7@@?Ibs_wT7$mon#;{iyF#}E&&)%emtu?2`JRPn?Q>)2&s)vY1;TMJf0c|dPtbb zQ9D6dt@2M(#J(g1x|x0Qx|szcbwr7y778&{~fYpePy1&%Y=DW=|uQGm1O8i6`=7Pz!y| z=bi}kM?mSl?@8Q>maB%zF(wAS7ir-cjrbD+o0(>69@^_LJ-$X`O%$E0yC@&;y{T>p zdjm;i+gmkaZ?%+pe|04edqU}M-uJ#>hRx11v~VrDV!d}2%-R_`0+IU z;>Mf**ut3ww7a|sJ2rnB;QKp0wVH<#KC(us%?97z#au*Yu3USQ{$i#2mI|+->F?JE zK5XND)Kd|kka0TC)9hkIr|y8ZV7 z!>J>u9``}cWdDU3Xl=2D{t>HF0xZB9P-xU+zR03K|F#K1U*@sHYMSmaJ^ML()@(#; ztqV+A(>Iv(5vIYM6BO|d6w!u|HPxnK8jrsCkSDyr={TSmd_WV66whH9asUAUj39Dj z_5R|$p9F)AaUl%sow!aZak~E;#%755s9T0G7Ek_!9nf`m-6o7)S2jaenu4}Op_{bB zxJ_9$thmQ$Dr>(_Uf%#j;&`O!az$LzZT3F<`5+KUKS|^{XgBy~TMCfOUKCG}8VAnW zG_dpTujT1A9~nEcb&W^KeL>U^nq2Cek2RF+PjHMQaTQYpzM>W7F`z~i{~pBnTeGD{ z@5IOY|JI0u-Y>W_-`9xxQjlR&cGq@|s2tOBiCo`qw5mDej~iSdh1rb92?^%k-aC17 zA0Q_X4u6B~_V>@VqSs^#gfU4(7;rb4FyD%M`?na8fD$j^OlZhX)7bBHB~B?U2YCyy zW&k(Q3xfX2cVG(0WbC0@(MT`lbJ5*AZ(CmnLsbyXi4mU%dW1w7*d9EPpvIq=Q5dMf zLeYlQwf2TBalNB(bEn;X7`aCYXzc^oFQcn%m@3l`Fo6E^=)T2pQDORF>)W5JJ9e(y zI4GuHe@w~M_IqU@Y$?{^ek%<@*`w*(<84vgm_9i{)bV*+%91CEnIBcXIGFZG6i*hi zVUf<6=T8>zMnM&wK(0r|#@OQRXc>^6M__w!0x_%e+jZna9fzCN$%4R_OSy}tsm|%+ zViU|ONYRj!=oi7fowlt4G>Nc0`qcCdI+W~Ev2v-glgd9druC(j8Y3UJa3Fm`x6**; zIhuiT7wAgaW%e-Z1eo6W3M(($vjyZN>U6`(;XuM%iR^xssbp<1Y;HrS=|dwyI0xAH z-p3h0YWtJMQV><-^P6%anH**2t? zdFulSfB0sumT|IrQu*pI<(i>*n;v+B$nN+Pa8{mG%sv;I(Wx3BR2flmH?J@*yMXQO<75%7L5Ou_si7Mccwhp?;J>y` zz_o-^zpbbG)7HDGdef}WU3X*44NST&LkhQpZqMwZ#o&YQjVXP7XnP5(s`>U-0ZSvR z07_MN#pBbxA7{+48(VHUZB83y5G*~5VC`FLcH%X;1hSSmA`6aX;ik>B&y z?_k0w{HJ216{w(VVU5;vHX0F;{^$m?*-_`qb>w) zp@n~o;jD`+B9B^1A3+>`lY%U($C95r!u{MSZoJ_6S7U9VWq~?*Foa!;@{r%Z#%J^9 zb!|H1Z}bWLlV77TSU0NLy_v|1$dJU>MLzpCKEP7!sRxKt*QeK$Ruuhk^(RZRfQ0an zOz%^1u<7L%s~^L-$`(RrxE&nDtD4g4gyCAj{?s!T{m!B46ANML-uABZzicKF9hyqw`TmnwhX1z|66 z%51cec}pgT@IvyB_62uizZ*s3ILy(G{ zMR zFb?wWj-0J?iEEpI1#M>gaQ<;TU57^_)QbAUK`h=_E+>!%0hRG$v3=FO@hmnUN)?W| z!5=xFfRtfa+9;W5?s71gGQdSr#-R2mtEn!L-r4*;2CoFj&9=+7#pPd}e=fa18{+3_ z;B1?pC(n4>w|JX<>9-~?8zL;PkqUoTcJ0fZ;Nqm z$C4U=L>oC2k5wJbjrW47##ajTH?SCZV&Ov4Yz4#vmIyHbyFP zCPl{(#=W7qb;^zsjIT3jJqGH;>9k+PJv10~iOiH0MV-6rbnU9eYpQPKG-HHl|-XOBpRASqs53jh#;g&*G zx^MM~id#>60rf5z9U}}7O3Kk|0lE##5WtMFjAc^G`j|&9-M{Px@HLrh!KlGF4)KWa zVGln9l#NqI&_u@^M-d3fNYa=BEULk)flUteJNn|F{O4k+Gy;!Ne}z}Vk+E8q2$B35 z&R;W=dk;bLrX%ZyKg4B`o1~ge{AL+l8z-;HD|`)L`{_L-wf+;yK!^atvj^~Cc~1u- zd>p}^951k3ckk86)we{N+#HizyX^nt=ThZ*_jD?4xBjvsj&01;Zqv8OYcsoc(6mVG z4^_O4TIqwHQb&pVWFIA#Sg~R1(ZtV4-p}~u{qP&m`6a>>O>jl~_mb3yR!-Us!K_?m z-I0r96VnM%#4hY=A35lrWEB`LT^{?izhAiEqZ|2VHCT9c= zkwwq0M3|-Xm@zhlC-u{$Ze~w6wD#c8=qAD9B|+~H!AUx{fH(DM+pUGKK)qvFmb2|{ ze4Jr?M_4gZYDO{r9%gdJJ+FE)aej^-_Og$Q7xS@qMSD(d%j-wzizeRM(v%=&^wQIa zpHXwRi-gWDiS)!MBY7sed8~rO1EEFo;?E{VM64h~p%5v&k~OurluJLzMLOiADG6E0 z{ful-U4fU_&>rU=rUdUbD70AKdZ|0sgMFJc!bO5o_Rp1ose5$gp|?#&CA8F}KS*S| z*NpqH-NQ7udM4ns*SqUNUr=SE{3j)%erZ^V|B?!SlO2Ch8T#Vf(Qw_z$L$*TYX<#m z6I@0qn^b?BL5>2*hVLo9nt25KS!5~vhq$-FlJ-&jj{5)!Q{!kZ$;*c3-4s5VLep|cujgp@M) z0?fkDDy7J)g`AXKu7e5^s#CYM-a_civ?ODpwU$ZCs@;G4v+tI5hXwD2guk5~5_f;Y zw0nIim|0cD$IYVT{{3*hGK`Al_D5(4j;Z^?rTSlwe+lDl&)Y}?Q}wQ%+v)gY2C6t04}FZ8vX(#Zo(&(q zOgw1YD!o&Ck3tug(HE-=hkcS&@Vsz0HwxEQgG=Ph@y+_a()#BAen}+`p_b=n8LcmA zb0W&Qt(BVi{~y}eBx&&wMehYg!Z&*;OeWVnm&pAFkIj=H6Q2Gug9k*=T=g$!-aj(d z{$jPFUuTZC9mY7H$0Dpz)qRSnlDL=(LEpTZc{yJ*QPlU}*TB?~Tj;UayPGS~ql&7Y z8Xe-iV$xG0&b=FovpgqSNtY~+9{<;$W81kd#f*{e6onH+hrL4B}ZC$-6V^p%D+-GCAhhz zxDmP%PD(i`RdO2)NJTfq?1=nn!=7Hwr!e#AJwca%rp58TzSeVxw zpSR$-pJY+~J@HrD(z8ad`~SM-(YZX+)uf!udzn+pr*tM(T+&(gvew?kaKdKn!Z1o( z?o1XteG~irv!O3y7_#GhcSJMIu0*QcMM76|zQ20rQs=vhbNGZwYxDGP1BW$%)AiQFAh$8qF>X;c61HC+2_syiWH zl=b;ps_eQEN_P(5aO zt`v!c8vc%3Yj0V2@z8p-e#z~N`xvoon#9@k;=3@kwl(VWR0E7@zZ*TM`_&(3^)-Xa-${iIdaTz-&-Rs*$2NUX)vp_}nrC!bC4VZ7aH7@yzvgIg%R zjP-X>%U}Mi3!CxWo4eTCMDSb~mf^JazKy(i(f_X~>v`Aq?oaB7Z9dH`26BO0was~$ za)5P&B$%om_pjYwf-0xBG`K&;oh>R{gApz@XnB_8LA}K5zrYyDP%f1=+MQ@E$t8ul zsWqlsfeklIQA$G@mTD-IdxMJ6H*|I}AG^`Vx)D&1&b${I=CCqBct& zaww{sv{8kRWF7u)*_Zk7G;kw~f26XLGiIT8lOh`C%x6VBVe`uBh6u)23s4;uc`@oP zUG(p6$wz*<%c%CY;`-HFaT|l5~8<0fTpIA0yhJz$GGoM;9LYwWq;- zR6(eV-ZRo+36l$(;I1uqpOL<#+QmeGuwfrq+WvQ!?AOz;Em+k@)ctAsM^~g|R>Gc5 zEMz_J%j#RRXKG@6DxvQg{&z39bd8X1dlSLjVy8zAJ;|GmD!~zwDf;KGWg4ZcHs@RF znv%xQlMHqr@dD&)@p+gX+H+*Qw6q63X);9zw;#44>YD%KpA*3G8nOUxg`SDZJ~eN zZE}h3{^&7}w0rZ%Fw&t1nscmCB47X9X?P`q zjDKdrV(1EfgQw-NHRCz-&E3(G$Gcvf?Xp^Wp6fK!Z;w8YIh`eytUfnwUwFxtF41SA z7Y7OH<$XUH=epQ|Rr+XG{QnDQyq1Zb=0F&VBK~}Y_7HY(r>F*-5wH=cczmjls7Sqp zFX&mwprAG7i7;))PX!i%l-`_`^y@WF1|)YjB1kLY-* zTboqG4AN<105J^Y*SQZqu;b1*W(>qOyZb~LOsG{!S6 zYbKlz^KfG1OSgsl>Uy(_FYMLIXEhYe#NUuy?+(suo2!WA7;ZC?s}!f7^^VaZ+UQ#y zMepSmgNBYWgIaq>aQf@77Zk!d&m{y;@0fQ}fJJNJ&Q;$+CUns9V0K`QU-&<2JCk%n zm0fB+BdY{3x-j`#L3?-1-bZNC;DVk9{WaL#!Xu%;#&FoZw%}*Q@@_tPnA>4c)q`aN z{&1)-$IOu2iJu#1y|TytoSqjMXdjZQv&iU^r9$p~%WK}fJ<1uVQOV`jM9+ztW@9=n zDQ4~1Z%x{iiuBiHj5V=XlK6mx#^Qz)P<|U9!ogB?9mwpTA8)*ihH;2R{u@%szBl(y zrf6+9nB-Qg)(Dm0MB5@fyn}M?Nf4=7yI z@&@i48Lhn~o8bYu zj3GTqV2q{fwTw0T`P#sR&H_&flp6T(rx@Fuegq80!DPDHLKzuhrW0{=rE70GJ#)b! zo7uNKM4~qyAW0863JKg8%<|mZ9!`u$7ncH~1MK_eO2Ft7A~jHGZA)p2eY#0D6f`LO z&L5{G*Sl5oSkNF*S1%`zPj3};Tbswj3#U0Jg?(mxdbd;h370CgT;hy9R!Y@mFKd>0 zh4a-a1Ota2@q1Z(ZT2eT6TQYa>{lK0^Pl?K_b{rL6ZDwt|JF?hH;zDgRTcW83#tKN zr4DSnSH*&vA9KeQe;(?ohuu1|8`ritNIuIWS7W>jfl2Rm|1-0I!HYJe2_kAUU*P3=YZ{` zrXsqIZciqsbR+hF=^_&e&0EI&4k@DwQBn7&?5)FHnv4+h8qSUA>lv*xKhYeZj(9nu zNR-cSPS#E^Q85%XKSbnwBX?CewLhy98W>5|WTPL$l-?2CsSEq)YHwk3qYNYC%u2r= zRH03nw+M$N8n=Idhm`6L^3_UZAdQ&b9L~iaynZplWsUlBzEKC&8-YtVM8-|ThWfys zD7=VEm)F##yGX2j8Gg=*EqBlktTz_Td$GW!s6R1vlghG(xNkk_^v!G&ali9=-Zy+L z4}xog7f8(y?642H?n|i{J>Z(Xu2~yuCT_s{krq~DnR{NPQW1@{%;@2+=`BT82|unf zT+4XoO+K+NX8ri$<3d9$Q!*P?V-ofW$xqE_*d}P9PoIpN(ep`pj};X4 zqnAJPKWX@vRT?r@4T@_%3`H%Jj^htod*_xIb~@khDpB)Yo)!f4im6n32QBz|MD}R?Y0>ZA`%gToK4pCx=hMJy zX+VNAF$ZQ}fLNy}aeEQ}#OXHJ^ikkb+{YpCX_)hm+r&E@VXmTEwGyQ=rZ%94nDdwv zmJfI8EHxmOSCEz1_tib!x{SAV1oA?wmon5%NskX`o_Z{}6JPIQ%L^I9s|3B)^wUHI zKW}%ZK(Ko&R;^5d`N2YpN&a;M?zN3KA5Ymi5YS;jywZ=SN6X#nsbT=+3pDj_*j9xz zq5T?N0<|YkZZIEWZi`Vy#a_X3G!+*}etpf=Fqp)N?*Mi`qDDJrT&tZ78kzkW)F71! z%h>Dh!1Pl1Wvo(73;;%R+wiN60?=c6Xq_zvQrWvAq6yvIy0u=FRe$Z!%SIxW(tLDK z;kb;LgmIq7bZtA;)}PA4xKMpFX9sn$py27_)kn}{Yl{Oxi^^~+&a+pE>+MOjI_p{e z1)bi0CHqsm@?Amf!y#prRAm&f!A=m9%t&y%J%H7 zF!B86{0rLS&TY2meV4WBV66_yDC7dQDPy4U9e@p7f=Kaf?baU$f;QIltV-Hm30zn2YjnV57Tj}mfjzn^bIx;Pa@!Y<$zP5X{|}fU+8{#CL>K5m6~=js zc9;Uj4EgI%6>x$xo)2om3U8R|CB`eTnf11DzP&kMJZV&jlqQ@N=A)&$YtU06i=<%s z%K=x(p%-fkQ*zSQ;_uV%xjS7y8S`Q}ZSJ#@gl_mdU#j|Kdbsutr5a}ne9*1(oO-Ro zsm<;ckzY`vTl?+u6RQ~0&`1dIdN?3W7Y;8sS&fz@+Jcap1{-V7q8S@vE;8I9WuH$L zD*5_7^3(V8ls~1a(S?cSa*hv6@|Z=jzKyxm%}6{mFux(?NbbsC>ra|e-kX+1>Nz;4 z%@2>K43tsVVL;Vg74>g{bWhkx`59nzTtdH22N6UU_a&^)MbpLFU^tk!y{`yVKtAH9 zOq;*nORlzM!U(yi;_wP+p3V85?$bM^A(z*BE=64^0^O-lbU;tG>&|!2U;06r_jDjE zE!NYCbpVlCru2R2 z_C4AnQoW|XP^5oHRzyh4M;+5AV>#3W!^`eJYT<0eBwE07To*|0;kf@aCSm$U-eg1W zHqRAY>)CsfXtJbIJMspwb<6XKqZP?|f;$KE7|=;{GD$DvBKhAP!mBlYK4bQA_pAI` zPKaywD)iw1c9)G4?Q?WA(I0njoehWlz~%80@7Mz$?GMrL!r-jdyYlrZ##icYOR=V5 znxDQiUD8}s7we0o@^9=Ibq8NVj-7EEEZ^U(b3hMMl--QTwvrQVkd(fE*#>=}-s+b? zhl&&Z&DBt#zn2dgmwhEuLuU(C>dvr;8LM9Ga%;is4&CKvwFfszno?bjITe<5xm@R2 zvbU`4Vern`H@4fWjo!G|SJE!qgf6p*M;%lG9MhtD2W|YDM>o0lRAaKci zvo)7zyCF=c%`H}g^T1cSZ8J2c95<76hj?Do(Lo%|Wqyc_Ga1^=Ev?y8Mc_Vu$3cXN zzNa4}3_lnFLsQ$g{Urx&)!)fh3nU9RlGw(va4sTMN}$BlV?kwdm(5oKqoyb0Q_;;! z^wp&dhZQXRhTY6hH08LR9bzmn(M|LB;8K(&l$^M7KFOC{lf3n$mc;xN# zIQ1{q0hD8I$huSu3ej!J*Gz=E(;j=%IcRFxKegW%2rysRVlsyE$9243L79C?NByQj;Ov$#mMW$Ptg(Z;ZUQ-5k zqlw09gCs$ND`6oIMJySAN~HI#3;v?f5C%{(-%C-a=k;zqjtnt~S(fTpZ1bRPKj!QT zMR@vjE%36uiqh?Vd)rbxN(>UhxL$i!#1|bc<;6`nmDY4*Zfa2HH_YHD2iN7|F`ujV z5~z;^>H98E=p%#bV-5not{K;2G*J#)L~X*7!I5IW^_t8U(XXdTPjPSGDV%}flW~HX zRP*G%DQVyh+)UfMvywiuYkheDm{I}U>m?N>Rg7YNva?_Q!bHkW|4U z2j2YLujJdvQ6lMUi$Qp}4#GJN3K=0fa?|F1z=KE}It}(4uaT4kZpd4^uwxrRdnnYM5{Oib7NHzpzpiNHSRb3fK8`?i(?m?)M}FG7T{L3@fX^I zf`o__YQVeidENlmStmpUZU@7~y2VX_)l4s=J`gYP|9}MPe|p#2?_Rf70gA}M027By zp|Vv#OS{8;koGA**8g2|vK+Dg${7bvwAU|!=S=aJ&tj1JgD_Ag_~7rSWvma?G9b4@Nh}< z8M}z8=I)~13PjOg(BY)T#yvgQg)3Ks&1*{y#rhid)7lvPm0)VCr7x3A0ak-Y&l`k6 z+D*cMtjiuSS{f=lIydeqc@gp}7%EUjnqYLvJdY79y+h85yIFJK<8ASLTZl<;_&gUD{o(PE%4_rKXO^ODdh^MWZ8Vi5l^~5_str3y0!vOO6f8HenNXmpzHp#iwm9#vEzR^ zr?Bv_0J&l@Tv?8z7TiO45dQs7lRC)JoJHcg38&{^R=^LHjR1?Vkcy!QvYtO}*A^W^ zP3n-7O~7pYi^O*!2*KeSqVP#rLDU<%T_NvMX9~B(+0pZVrF5P!PIFI*HrwXP_IVL; zs9OD%|NM8invKMghDhZW72{giB^~wOH_n4^y=aDCK)i%uMuLj2kp=BMawGAmk*<-4 zzr|7}&f3%k)_TmgV??1u#H>0w3xT>ISj-=r=t72dr+>TT#IKR~=WY4@I1X``ek|V~ zRmwm7YiI4_%TNu*>_k%r`qZBWEah|=Ig8l3ZRHg-4MCLhu_RHWS6BLF?ADl9fICZE z9vh)usJ?ue3Afl|@97{1jaxp*7h338a=g(@3exXvyz)=+tIU+MvuorKI5$!&-h?ai zVcM_m@btrM4z>7YW5Y7~jz2YTOlu8yE}^QoWQx~vOLo*gWA@Jj?JZ$_sAxM5i%xz^ zXNaFRDn`DoJbUSWl_)ZaRWf%}>s|Eobzx$P;&vcKy9R#(PTtVmg`#PG|C+I_d%siK ze=lJ#yGvuty?p>ILHv4)lTnaJ9Y`zc*?rTPJ?#2$i`S3SU!QEN?v`;SY40G;@RNpz zgSaN1I<-~)t5m?(xgY{Rj81U=`}lxQxJ(@dQl*gk`SP`o;g>S!HQw2d*R%IVevg~9 z5BePFCIhv+QQA@@`qAzrMxZGjm$32tQwKE~vc;(BExH84OFASZl zsXHrcCdXk`Nc%#dGT@RkeqC$`uV8xCn)?-?=!$Dlb|9*Fq{x+h+V3Q*T>pe$dh5)% z?`Y8glPV76e<$biMwPsVIW#;NGpTHZynhOr!!Ms>`kQhPUZBAs@?XG+3<1R4lc?FT zK>i1#!E%H3QFzBzNa~F5rwvt%P!S*FD?|Pz4XctJ7#~ruc7On*;cXVW3F?a zKA{-mGgp{f1tPpc>vlW9@d%uC%juy-5|RM2c}jO0WwgT}-^FP)Q2pNg!^#DQthT%; zg43k9MM<=M4{Bxdti~oviY^K$(c76b+eR zS*gU+(M7|;21*MDoB+hqps6Q3X&Zx-1DPew2SGp*Kge0%K-m1OPj* zM#y~{ZHXW4?yFB@kb&u1= z6q8ERDv|d6&?9HnK3r{>Gc_esAIxr-2AV~oil80tFPFt2vR>r6*T(w`gb z12K`1*xI(nj{(m+BOtOdCk;fJH*m0jU!yuYqS5>K7wtn9 zgLwBj?Ob%6d_$>I^w~$0bplq#j-Jc$6u6UDo#bfL#AM`=84JNnBC>n&jC2`k`3P;jx5vw_k zn?5H2Fs2J|OSEwT9caTIR#mYot*}W-#-~{>t=*J73y`phLs`0m^*LdGZ_arN5B7Zy zr+HCGGi`uU82dTUUKrtcDWJgk84f-RCzYzD^)gwWJhLc?w;w{Skb#>DGI0VV-=10| zJ$JdDlTRhcKX8%s1Ux84-rQdr0492R_w^FC_z?So49dc_@0;CJmzehisbcOWDE2LW z`Kou&ao)DU z9PQ7)or8(VlIVL5LohGDtu~Z*$^H%{f1`l-EAGVKs_nSUk|y0gjpk_BuR%y(KsIkW zjXAp3hJeAwmK~Ls1fFj>591Y#fsfhcbjTO8Pn#UTo*Y-#stIYY4sI8|boybO@HVx% z|4&{^$+21~FU}DXhYTnJMfm{q8mh<$Nj$<@i&mX}`25*!1nD;cHn~&Q!t}^Y)omX* zjQj!wZZav4xV-~|ROnBM#3OtwCHO{f>mOzw_*TEY#51CIkN7Kn`}bSdyb9(oMZc@) z7X0;ck|s5-=tPOZt+%gRoJ0ZL?RhfHo!FR<4`{@2xF{5@%8jEZ<#qw<4N0<*0g1Z6 z5pVH1awn#Wa56jEm9@d;o#4}AyCUl8r9FJ2V??l;Y=K;PuQVy~7+F{-6i&$++3t!YP|qhQP=3zSsQbmCzSvIgpBj zB$ID+IHJ6G6#E=U6Z*X@dDV;Pz+!J=T}F&4{5HT318+PN6SCGykIP$6WX-J^MMp1w zs05rNp}K|3R&eC+_@y$XEpDh$erW9K{CczDr3XVbJk?G=jDySr5okx?KJVNZN?%WT z%Uq^ZSNx`82jEful@)Z_^7=Fh7k!16?0*`*w$?2;Ha!tu-k4#x-sI;H8q z8Mt8Hw!*QG){XeuC_c5lnHPc+t&z5YTU_0j14Ps~+} zKjQM5rkF_;XgWq+$us7V(EiG@^6xxgJTh{f_l(`!0*C}cp0r~0O6$WCAEc?3YaK|f zXnwuheZacGEV?Evi}>=iX+4nQNPDoGWZr;ye=JrR&K61;S*q=Ml^Qx+!f;kg4h6qx z?-UUC9AtdIn=#&09&-MwEm-ZvAvPTcFc;f(+j`!*hf`Uxl`k#j|H^;*+sR%g z9}Da>+-8cDc-Z6P*Tc=e5!$`5St`kK1yDj=d4TW0v^?)p|M z;cfo*<_qyjctojM!=D4_hV--di>Gz>T>r1CWb&U1^KS3}SGP8|w-|@$FEPs)>H#02 zATS2I82$Q8{{zGtq3T~ruxjSptq{J-fmL+Z?wWPhE>AMLF9T9M2R1ad*_b{$xuuD( z6~G9U$U7viC&A*WQgF9&#=QKN?~RE8uf+kOKg&Jala?oj>Sn^pyhThoy!mcmsp~65 z;kru}2yAFzXH@TfDLilv7&u%Cbvx_!+WlL^I@R!to8J!ac*_q&04A<>{R_s}WdI0& zw!yr#%tUg&H|E@x8f!svE*zU84P8-QRVrJ=?a6Jkx~%U^f4hC->lzmN*8U_SFUKUG zvL*M=d%9|Dm(_MZ)bap6Ov44Z;DFQQKPKq0yM=Xx{VWRZV>IX)L)p3WQ=g&Zq)%*CVOb;vCRtfoy%ey=}Xgj{o9VS8VqK!p2 z2U}6$-$|-q3^HtBGIvo=Jj(cH#!JiP=M&n0%Q&A0rb|r9HSg-7BKDq$_Zaz(U+3#- zIFD&~=gksPgr+kBz#ZWB%UvX14}9168Q55>x#L1(vyp~QvT!u=U5Q=Cm2HdsUY82T zKOO{7&l}pM+wyY1^V)zD_MXVyagI5VZjL%LL(@bEoa||164Mg=UP=IOd_NUZ|6RFc z;2zpZW#TZ6dr*MY0$i?gl9AWVrmA;G9U-tdRYcxxVh(o6%n+!u4iQu!;Puq9Vr484 z%AI8tz5SoZ1`eV^z_G!7zZvII`5U>ur3=KHUKsRD_qo#kBJe_XRtL5_MMC(eA@&L5 zZgFjgFz;x2F-KFP88A+7!p^PJYn5RVO-Cb{&P5RY$<%vA&Tr#(PAK_5K!m5LbEo|x zslvf4_1->G^AYznA8c$@8~^D>tW5$Ks30_!8PKa)!~2`=b;j>m*=Xpa$_ZLsOH!@) zY;Pu$7jNjMyKe|YXUQCymdF?`z%7)RB>1s_XYE#t+0=C+5^iRIy7jB%-?^3m=8mI_ z$=JtwE48-5tdRWtGJ^i~zc9+cu4~QiE51@T&DZ4>5Du_ebw4a+i)4$?Qg#zGx#cmK z=o|}276itDkpIds;<_FihuYDMSCQ2M4|qTS6DW~4N@UD?tYh}Cu}^@=@=D#Y=~K?5 z{~~_y@r{VSB{V-&(NGIreN>Bs)Ikc^iJe~G2mwJhel;|&iGH=C8 zs6QTDg|^LKoRYNsK@e@r$MX)7RLci~$oG>|Tk+k8#WJJvVbM368%H1q#Y9)Nh&v7C z=Hdy<#MCylK|63FgRK6PcNs}WcNh-NI#~jGw3@k|G+FS`yp`EzG;^og1qSjazw;u`D(Tm1G|kr9x#GfQ-JiZAll5(yqV0;xH3K)^ zaxW>Ie$?NR`$W|%dxieAE!A4EZXK!#`SiD+I_fDYI0PPVcI#GxD#4=mh}eO}0d5_=F`43KIFfdsyZW0^{RgiPGnK&C zo#g`4EiKWzq(2lCq4c^O6fSsK=PbI}P;Si437b{DjCqhW+R#1Q{H+=33(u&}W2@J? z+B>wz1l_Wp(2cWSM!{WyE9y#rKkmgH*)3xJ93kPdXrUOxwee68(xvL%ztuF}LG63Q zJzn1}z$O5~TrGH|JMN=9znTcTGI% z#}}cEXU?s~fQ#cdlx>@vs(=JKvPE5guv*Qsh`y))2s9Y2A}bl+0r>lPfeD;`3MUua z-FeQvC=D$luDc((HhTD%BJ^K)U+s%AOMK}h07wgPi`8cq1!()#|9zp7af%}tdZ-2H zP6a-Hex7d-{9h>G;<1&cUlwydxTyd5#Z!v~5He+gZAvr~@UIs>xtURul6S5I@@NIE zi4rs!Yu4-@msAS4`R{t+fQS())KcAwj@>x1GQ|cgn4=sare)x-;S@gO2E*h(`MxVQ zl8fT<(pDZUdFZwvGxD>(&UP_R%?6#G;@6P`s_ku zGp_i1O*R;FH`zZO_<*9knXFjQ4`lq=1D(7~1e@2ZEhB0}5|MA2mDYH`j=7|wp?Y-A zuWelLx*ox44i0#&y2n;zG@5utiM?QV*nPjpmgzO>ZX6hIk3V6a1nqDpPHM+fptO zX$ilcvMhDyhm>+wBtB2mW5tr-P=8&$=I-2NS+G_-k_RAX8>yJuj`mV)yWX9a8yPFoh$->b6%QQEqpuk}1-aVz@MQ z)HjEZlNFzBb%4Vd33)&faDp6|>4VCpdf6#!ukC@rrndu=I4 zB34_wGio=0IJ+YQ_svUEG!%FEk0BB$k;7~@bsA{i?*De$d0N|Gl-fBA&$6|p1Q=hQ z4+;&G5sYQm++45yiOJc0v3S^%2ByDEMeZwa$zT2_sTJF1*GQ{nJ9x|-j$+H2hjs~n=`IoozXdF zc}fGPt^e^o)pPs2^!M5D>YgQCX+#0wBvl&kgiI#fP%kv*gu%e%=ubg%kC)-)U#{19 z|29O?`X{B*WCzk^rbxGD8G|)Yu4LPsW#fhBmyjj7(~K!JYZzzI?N-wC2MyE(xMwbt zu0qn4Yg*cHq@IU=ZV8kv4b?eGKYrdidOBM4usCnej~6o4nfu6$)HlzPvD*T9Wd?S# z6cBE)1(sVE-r?rc`oi5@^ zBp?KcTzg$;vyS3&?VffJlHjk)qp8zprcX+A_UF-%{DC$GpMDCB7zPMq2m$+_<`nVo zc>}>bd5ymKzIU1|{-u|yk~FuyH-BUPBYoghALnQ2K}SL&5|9roYv z62732o`u7&(QT#CT{r5RjYXQeIbhKOVE;}}YkvnW&jo37vG8CC#h;v$Xpp?(wcEJm zshcM21~13za}b^j1gGA?P~Bh92Rakz$tb0{^{q2QruqZ1=e>U@LJ#feiWe83w zb147X__q}}zy^r>=NU+w{1#CfjEm{B% zW6YHAbpc0c|2AmbDDm6W<`BDEHWEZGUYa_55)galB`H|5%$k2=`29LkK)3AA)LjSC zo2Pu5JwS^;qbHZsy5#P^oW)}XJX=y zviiHfdI5;MbuIw`5I-}_oT7V&IUqr@6EXv#F?I~L=b{Qt8+45dp68`{U}<-KlUJEvu0aJGiCqxjz*g#agWixfBhyJRc4*m!HI< zBiz%LnUecp1^xgn;hOEh1-z~<)lTW9R?$z|@P$nTV>rg^0l08mFS_DSS{>&035Oa2 z)jFORhs=n0J+G9!Ki}n6JF($V!(X_uSMn0BE9)qolesQpABs_J#h3HY?mqP?eS-i2 z^l?d9KmFHlH|@-ra(e)x)G8uG=V1BaUg$I7m)$&pmrPV7fa7HU0IUIlS(;(4n9xsV zwL`2$fecA2lJgeRN@VISPLuJcPq=Opzm#rxdZPpU{)!r_&oHAJX|jmo<8{|=re*P4c1<#CKxTB zE+(Yk_fLygSq{3Wvd~}y{?eDY_S9K+1x~bmf zPos@ED0a>j_m&@i^O6#Ebfe7CaB}u3kKXBxn3G`pBNW`yXb`UDWPM%TpSGj=lD1o` zEh)*CXPRAx0Te((c+vLHc=IgbbE~{`oGEq|gbWxI{3BW+04QB6Er2T6*Ob$_$aeS4 z&G3@fzx}P@>WS!72BJZfsQskfLoDiDrZhB2x^r|=L->cG+YMggMTCbg+k=&(a!1Hu z0(NQmGZ&y60Jgk^yb=EmlthZ}m!As%!fvV8tdUPoy!FaHL@Ba%wBaC#*Po%`5UV2Q z%a|~7as-fqM6=%U&JVwFPn#2`@^M48=^D_NynKoTl71)sXiD6>*t!wr zaPHjcwuY**{%fO4oQjhA?d#0p{vCVn16%-8m^2PNAEq8xwLOZE*Q;nd#tBp=s4!8! zftt7+w-P1L7(%^K@hQwBHWJTUWc!GNzl>j~P+2A0NACuoavuy~@dWojv(;U@zw04y z0Qqk_;bp1=cQeC57aCx~R?Pe;$u_c1Pf+fOfM&Q9+2l1pbdchy^!mOHVv#S={?!8y+QrA}mw*y|c1Z`W*!}!Xn zPL|-Nt&enuT&Km($3+SBI{9J&Gnb;6!9gDO@6Hm7a8KKcpGEgW>~I3ojr5-+6hrE! z>48%ztc==M#qd?{8FT(KLh7OXdlYZadw!hGlkBfIq$^SkjT&&z|u&yfd>UKFr#gw*IP3*>rR786GAuErpdLJV_)wpusw6UQU!kM z?en2$X$5Ttr0$S21hgGWxHU_qK5sCWsu_iZsn`ul6i3#<5D|oS%y)W099L=#hsJXS z4TpDBw>)A3)i~!F8CIroM=*wX7E|OIzuB}sU=JuPM`?9*%sTJH5@#KFcbs_pL?l}w zY^HqTQTqYF>?eO$zKiBxF9tVX=Dw|22k06Et-?jAaEN5G8D=57Zo9XB0PsAb8wdM2 z|L35+@t8!qxd3z*&p@$AV>soTqTh&2q(m6z8xE2}5j5eX`|!70p|<|$VJ!<1lhZwR zkA5TTb>3m`s}q^_x(}zr|K+tTy$bkd?urwv4A;~slwy>KL*4^s{W6bS{QqT@|Dm{c zJNIuem%{iF%NvryLSd?u|s zBenmoqF=dj9uL6p+Zi13i(Z5jM_Q^IqwoC8wvpDH!o~GiVMTK`pBNzjY{B)K*{iDN zl5VJ*Kg?mpN_0?x-eOec_t(JoozAb2)O_fbKDVnaEueomhVPoiNgPfq<^=S^1$dQIAGTp6p)= zKGi<)6CCXIKOe}d^>5;|t5;<6;OjgM=mTIH(aQiL-;`^Nh2!UjFPB~anHLN&LXP-? z50B@ZEDoMow6%$Ag|2J-aH~5d|LPT(?w(d&i;i(Tsk%)}If~1Bd=Away&Z_+79+Y|I-{GLn0iB=-W8%QPM!2o{y@PAejeERgrc6dNvTYo)5};rs zMriRu6o1L|mwp#j-uRC_6Jrb)ZW^!xes%m64xnL9giEP7eM*B@_W#W9Q(t#U!BuKa zSfIOj4hP>yq-eMqPo1tPP^`KW_+MY{T4)N$q(IQu98D9T};|W6tQoXa_R{ zJ{fl(|7J?+{3Xx_E#Q+i)H}_IPmtvwo=3rf>@~c=Gms_uSRA?)C%;gzOh~w%_H{`3 zh)1pcWYTD4ZJ#f$Gtec};7L5v(GHRBuUiVeaRGD5389}e3MTCW)EeLedXB*ED~Nd> zgP3n4{utt@B4<)Rf<4>D^JyO^OckSxa)`JqnEu2g%XXGlXMKmwNW)e7xm?;ut-36> zmSE}uA?vc!iyFG@J$o043C0hz7LVab3EC}ln%qx441e2k_ySVEuNOy>jUj*b{)=*J z!%LMwflg1LLj5FW`C#OgB^TJe0#9-(42^Xed%+E8u1{<*x64DQJ#(J^iZPz&(;gI} z1MHOvc|zCSMI@Sh;2{55DF>wtEhwDNK(p^NK*o;e7^|9XZJA=R%gQDhI>sv;?;9f{ zlZXG&$5fESgODJ=j0E=uR{G@X1T9d4Gy-}|#I9~I<^r{~QM|0xw6Nq}Hh!#r~1Mq_BTe!uMrz;a``&x}wZHU0(jKl(R35Rl=3d1whg{#1h@{7Z=N8`oDs&jPmYdM^6c`MsQ zs!+O=sju0UtS86l=3rLH8fbZN;Tgz z5z|c%IlRDo^6~c1kde50Q5Q2XBjg#%_R-I(0dyA$WG)Y#L|?T`Q1NIjs~088$Dv7_ z@#+sr*I&Q^lP)GK$+gr|(*X5sYUzfvrG7Cn{Eb}_X{0u|H%^7>S(nu;B3bCfWd3Oe z5Urj7(c-Q`arwuuPuO|0nRy`Zx$T2hIhEds+wIkSED1}}S~tz+KcgiRub4?3+8SKT z@l9w_axQRpvOt6afFRNECi?NzHRz!T^eUhCwF)IB#SPtT3hVn*u9ITX3uYH}{FJ<;SsBOZ;spRr_ef7ONp zi(i)#$j-9TG`KC4t&A1@K2`thiLEq7^YMZ=;LTz6H8=lg>$3S=>G{}B=>_2whLoab z?n0wM+Xp21np%MSXk)ZEnjd)HhQr%1$MDzNAbuG1^vXu`D_CI zS2$lWw=w&2?3JayoFo(37Kr(QyQeLe!L^x*$Sg}iLx**zGGmoFK6wm|voFC6h>8w2 zQZ8j;UfTLG8}iKV)Z&={2BfVj>1NPi8f_6c?Z3bRSj4{Pw5qkI z1m)0*h;inGW6>yhf}R$}ET}$@w}kDPwueUDED&bkw1-v!o3jS9Vn9eOWT3L!vdR5K z!V;FzY_x=V1C;PfO;fvpP4^kfC+@$ho+qV{p63?Z#ZKACaKYcd!3)RpE{kI^#nV_v zlU`Ly2_7P!a=`N-Ce^&dM66==x)3AK$Ec&OR{F=bLkj$3aYQ$Ns+s8y={+y?=zbGg z&lZtT#&4}=UX-J@vtTatb*6~iWV zz_Y`KqpkRZ+4u$ZwZRmIx`J-C`UqXUg`oYQbxX^^g{G<76}^^%&xX#Jfu<$d&7PpD z=x6XQ@BgprW{oe;1?|Kx_`&n-1t;V+KuchuTgX~JsPwrA zXm~VM2ceJtN4&Kccje;;DlQad*`X4p@|?;U%Cm$=vd?g~K)CNd7LKCOKki?lMMa8_FYnJA^3 z!N!~s5us`pVRl#C9IS;e8~9zYE^EqTw0Yg&PKc}{>1SEg=ZW>?g~*x-R9F?B+X~FC z8ymSZ01pBn!fVRTZC)?BLbon|V`g+m^?>SOc3Je14Uub0{FPcq-S zc1a9~C%HY=*w_u)Z`ZSk?RB*5Grej9?B6(W*Gex6nW9nR;CzS^uK-ZF#@UetGVex6 zY^bXZ2<)rpW_o5Wo?w*eN8R zpF26%Q7Pc1GA;D#`hSHB?2_>M?SP$I^4=z5hu07u$Msi{othrU$_CCr4&hS3VAgN( zMS>RGRd?0^_Y9DG2L-*5nf;{3bqcW0DA@~szYYd&jtN=4mYRPM_naNL;2xtkX5!hz zG#@OK^ZVqHL*m#*nf-?z`x=lvH&?G5&=<;_cI`v{0AJ||9N8Q+z{3PW-cJ}qkZswJ zDa*#Ib(=i`ud~+HL{dXqAyu|yudmHwRVAu9@) zt+N^ZBopvPWWlMd@Ml{xK6%Y&*6#n-n#5L?LQ^xh=I6wt{?7Rzf3q!>@f=otrI13S zvU~^HBmi4yr$q~cXwx)rr5Wwq*!j&{BVzwoUC;aH{CN*S(BqUBoiHK$qQ?{L(4@_J zx?+-B?G@~jtysyaUL+*WWrg3qP} z1f#?HVc6>5Ad?qLv`sv_0*!h;si?S^Mz2sD#QKmQgB&wL>i0>PWx_o{5yHMv&|A}3 zG_yp&F!+Tw6)-;LGlGyb;!#gf3veXhVf`6iEFS-wdD`n<2?cNz_WXTYp4v98-5yfR zoc|PcT?FvGQ*w!Xrd*~TA{Cj-oB9CQK$u8#afPm(L~kNlA>5 z5+M1KsS8Y;35Y^i@5Sk)hNu<%g0?_nEjoKoy3pg=?Lpi3dq0;zdWs5%4_pH`5w$bZ z$u5St_Xp0p!H3tN|32kY`RfF|EX0PYsRfH|63?bSrSyULviBO3B7i9ZPGr(Bm~|st zU=W6F2R>A3WVf%L6@*7wJnEqnR8bi4(wAub``nS zfMDx{--%xjNza5@p|ok}c16mCr7dmD7n`rYOQgG(8P9&TVFh>`P+O5b%^VThGRHDTs1LgZu7qw z6QFT5xlsi&@9Kc0O>AmN6fRGhV=Bg;I#QW`WxG%InZo0c^0NQ9qEo^h=@#Czbz2e8 zanBD@Pby22)J3TNAo`xaU1(gKRwRD7N@o0iNCz;h(;>3+h<3zE7>x6M&o;P5$80XQ zsR@Ymk5L6I7BU$3uG8?1kmgU1S?Wazs`jqgrUb3=jXt1)7z+Vl?pi7y2FypZdUq%Y zOk3D)4y#hbAk9B!xo$qMd1=Cuh}86M^+ERHa{==`%JRNGFoD7RsnsMCv_SEF(s2Z& z?$T6X*Sb?fmD=1Z`O|`nZv`s-Xq|*YE*5IwRu3fCT~co{RI~xvm&l)`Nkahn_kypy z^l2)cTAJ5)cC&9$>=H8J@o{N6^d7C&j|`;3cz;==HgCvZ0a72M%Gf0%XV$7uq<(X) zpxKM~ko-k9bN@sW`oURlcN|eK3JT?_GtpDJ=a&7Gm7gzp2EjlAW41a$K?cHb`^F+hZf zpEVAdje|TWTzX<|(DDk1@D1N+NGu1Up4J85hdA%~d|gX*$30iE!5jkmU|)2%FI(v3 zb|nrlti5hpv-X^ms7?4r@r260gj*ava+QeP=jnbUN)Ohb&1S0?RYj5gw+d<6cgs*e z^Ev<+Z{_rsIS={9x@6;u+wLXH+(~HC&1j3P1*pN7PZlM!cl(W_Eenp%_scz>P@ZR$ zr#=dLs?cpwyk_LQqx7*e$o{AFo>*yETEm07P@~*BtUz63mVWO%kkYDBfqPVik^09Y zIbhOhT0ELOZ#?EaT?auSw`-5&Bt*z?89NSOhHvh)e`c5j6B$OU)rwcIM>C7FhpFo8 zsP7kHTOEsR^zWplyAxSJNFr6Q0G;67kEL#Y4^ylNZXYJ9d$9D%nph9ZB9jPpN?Mwb zoI;6n8={XRaR5&>6$f}fG$w(;AVnl?J_vOqQ{8Wa^f4Tp_tJ0jr{Od^QZ5Eq;soih z_pWwQ*7yA8kW#y!8k&+OsGj&kKWMH+96ma$E}^r8C5q2^vQBN)IctbVeasbfeqQxz z-cx~tD?!%c$k(+{awZp)(E~RF;6#XqZxxGn4Q->2+m;35GbRyvwSTeJ{HN)u0Kv17 z&t^?AVtG`hWo%MjIK7#x-s;wdfSaezBXfS(zb{8IHXU5@p4)k9~wX zwj;7KBYPb)vbk^H-~HYDk3aqKIiJt_{Tk2b<4My*hrD^QgmY}`rcOPAS#`Z=*`-0O zT?E>2{DiOMSY7hF2Kmo#T)o%rPd9!TBe_u_K%Lz2@o%SL{(q~*`_8Vt*C z6??4_(v}phuX8GNGtt<(OzJO~S$t`Of4E`FDEvz*eCdprwF{?t4nE zvs{U=*joxN==)0X?xIYwdt~rNNAMGQum;(Sy zUhOn48 zL1G@kF=w+h1{ILRZR8{$QdwmMekE2~d^(}&g-)$@hqR^H#fg&N1^v51OPG`i4|Iqr!f%Us*uvA4^OR3BYJJ`t+d$HIe$Q}Txu z2ahr!vF@>-l5$F{0*OlfkqxMntl{n^1Y=^{@f#Z z3O8Y=b<8o`FC_@G(woCQddq4#&aY&dDGnoAQ7FS8cfWt8g}2$528}P(woul+tdc+e4n@(Fc>N`2F2XWUQf^*IDQ8 zTsv2fyoR*2!KC%ivG<4c6;!nZEP8V+eZOKWoO325%O@KM;$*qan{#xp=eQ;AaS@&{ zjL(bHuEzybifm!2ywkM?d^F9j-d|toJPNnH;zHgBOuyQmAMKbQ`W&gq$4pq}b?Xwe zIL@*06w4mWzt)agF;y-$2u$|2S=Oyb2WLNn9*wq$XFkY=Fu z*=j>bvk7cw3ZXZCJ(3qo&&3vlQui0bYoO(NL=xnwo!z~o>y_pdOZN8J+Y^gR4U+TkFU4DP z?gbRK=u++l2fy|I9=)3Ie6w_j4!plQ7~~063E>eMfDk=EE{*tk)5gE7Svat#$H_7{d=jA_l5;mL2B5k-nTvBbE_fh^x(Sc zITPiFghRO|qla}zS)X%#v$_&3h>As?4_pH6bUcX)m_?tvN9qO-(Eq1_IMbn?>AyRS za)j_f$r+}tpoI1@Qg;C=hm-R=mKw)khoP?&(L;f|G}3YgQh^<>t@CbqO7BQLBUFi- zTsQDeq=4oKX(k2_6=!3xi@MV*ytjZ~O!5E!7zu05-o*afTy=yq`Ih-5rU>k1?(e)Y zZR1s4^7M}ja;s7O+{B7~RIN9?&3iM8DlQYrXv@kSfnQ@EmvI!Cgf2RpXzvWB>p>}c z79ms5bHw{Eh?cNkY1(EbT2VK8=1IF*>?p8rpD^d!*dqsKlg52@!l1iV2}W8TDZ;gG zN22HnEY#^9h7Zp)b{aJB&8xyLQy51Ax9w$>Ef%+NOvIYLTYk`c{*NKn@rG_ot1513 zZ#gQH6~e1-bp%gbQg>X+gk|NI&?S2}(PWEVG2kiV&Ob84Z{GHrbjIE61h*YZes*W^S$H^C?ePUS~v*F~biDaEm8p8GWHD|Ci;d zL5K)Bd94(zUf=U4_E(%>5KD(7GI^;FK1FAJ-RNRaN>1m7-=E!^Zk#&`Yr99+1dV&= zLW?F3h456F#K{Ju2>o^dg=<*MC)pooT|;)9Jnl6w4lfp`?)XCaR1$AG(!%g)q5)8T zt7%pty>m3#kEeJlPo5M+H-CKX`h|9~YIkaCpvS-C*jwkRlm3O~cy3rn#9NNgr-^5E zFe3`m>ce4!p>HtK5o$=*g?nrc(?1lRK|_>=B0cMZ|OO9hT3A$&|+bvcXkM&fBFgKkr;vUBD)p&l?{!;;cZD^H=wM z6g=|lTmNv9Xo`5H^>R>$q;OaGx6|`Vmw&eO@0Lv*Gh}Cv>pG#miJ5QZ!Od&|-1hI6UgsP!- zdnh)hMj@r;y>!e;RDVOe+R*bKO-5+|(IlU@V5DF84SToZ;>@i4eM#_=0|{tz@?xil zrIi=+4;H_|&~UNzR{=qgXfcbR7IyZ)nlqAs!4l=9~_I9j`|B?5@ zn*DA(A-YShcQei6h+_D(5?}<{G=8e3kIVN$s=eo3J~u5`vxGA7_0PLXVk}2TYj@ zM!GeWh(Y*hr3qbAQrlS>YVL$Jo=4tyyaVN(-p}J7V5ATqLf( zw9238EUs@6%R1UvNPfjmENFJ4Y+b)&@X0RGc4GHQo`7pX7j^U$4qjm`6C)m9XD!14 zy&Qk*X0#e8Ra)r=v-}Wu9hI!!ho&rZ+=aHm_fGtU$WJK-b<@_Z zidLMeGhr`Hr8}V0K&cg#f`t7K87!pWJ8}lcLFBJJ}ghH zR+=}JP8IXPI+Y$ykJRgS!0t;n1UZStCem#;6o1*;Q>Do^WV~iy75VAKWkr?hcf-Pm zK94X(ox>Sv=lD(+GX@hAHqLtOPLF3&ci#PiPe6n-|DbvK0#psllAA2#8`n$#XNd79 zK_e4Z0l+MO-1?J;gE#-4WD7SrQ0=5!9|2jR%bmUrBD9tv3tBh(6$%9Dh(Shyx_QIi zB%^QtnpeJgN{qCi62f%Z>mVCS@i||AHmV#==9+{6BiaXh%@Uz2Vi`Y$f+7AX)$iWB znmrgsgn;6+x$^EFZJ~4mm%d0PE#wJUSA2i^e)8W$wP(*0i-#8w6^2_2LYl1!*L!Kol=2GNwqcNuLg-@~839Why1#?;KJ2#OCXmL3gMB~RqkYXl5U1mEw_!c!!818lo;{MtZZ*u zDA%jjZXMfjTKL+W+VdBKa{Z;nM~{W8a{by>G1ve}9~<8`Y}f&Zn{X8kIsdsh>dh6L zV%a4PSi-gzY-Db&*|vCDOQg+Nv33o8Q)i>)I>Q4np-2`7o-Mv9cD~=*b>f{ysuG%? zR3Y)eL*XJjHeDf}{vXLBC)LqnySdMeJ;N;~+fXzD58}bQ7|oA?lzW9HH=3tz-asOC z@lvkf(l4bCc-CpcqO*TSNmAeNik}$FAC_mYD>|k2$`}EqCOD|~!K$RY8>nVYYrs8x z_K}3HoXmO^%ETqa>;=7_+vJ4@IoF))|LIXQyBlnfK2oa7_|9v?NsCYj;Ubn+n2To=|7#NuUUO8(Hwta#mZ`!(a2uAr(HTL)8FKD08YkbKL~HUxOS6kHdZ|8?> zWA%d};G*7<6hD@{c1k-$>yZdFfQ-&XJwB0@^G!Ia_gARVyh3IQt7Ips5B503<`XtM zB_~~vBn!`#h`So;JEe@$q*#WqR9f|Y^LrgKLRVPH(Q+4&9L8c3B|f$&2MrprIn~SL zjkg|Q>X0mh<F{R_1Qam^OqE)%Wpe^e@flGm^hRX3~eDwGY zduNYla19?^!HC^cGewnXVY6S zHpA*ct3_pVjFtCX;)$&L*tV;zf=($b{L#6YlJj9Vf!a)Lo$-tc%d*BS3+M*Zg0QeZU_dHZ^s+lbmt`?Rn9 z>!ceFF~}49lDBDCj@E@hW1Szl)|dlduovR3d%??YDf&+x$SeM2woSj!=udjJ*H~0Z z4bd44Am(e8suR$YG*(*_-?~mOn67{$t&(_lr0qOAA^&9>Z90PTD*V%Qda-~wzAUBg zv&0pFB~q0W396|+C-wYh7V|Vm5CXi)x=K#KVxAP|b>U_`f9c3>0`ozm<{+xMRL^4m zveZOe{;2rXxWYn0ME371M)s${35JboecW|#*U#jg0xujg3vM+~2NZOCe=|;pd^j>! zB^kGPz|iOWyf@|1VUEEyGfTCW7|+zG!?;ID@0egRzq2I^Q!Qm=KM&L@ERFj~Ap!;uQoxwq-2U5lstO(k>= zl+a9U%lU$h(J&I1&EzKo$>Lk2(K*m3Pmi|$vnrZn8IhdFTwp>6&p=FDJ0%|{vTz)% zmvFh(THWugGGn8Z8s+?}DKZoy)kgtc^cfQ4a41KwY_BtxS&fCgv~qh6eAvV{5in7yN5Me9 zktPI%;!gxTknr7%2hW9^UKmpczzPMJ>AP?FPzu15(Y&c#2IUiM~Pmf*pW;CjSsu{SxBlU&!eXt&Kp~a!~ zYRa07k^T~Vsve0#wPfTSjB0L|TKFoj%%IE%bJoAfE`x#Ux(V2gx%Jm1Kd)4>G-7{l z!dEf1{kBYPaktm$20`pUHY+F2L0p2mS)g`)x)t|k&+Fx8IfqbvO$3&l0`8eIYbYRH zy~23wb)fL&I*(c~`md=PVlaB)ZBStcxP@h;5b?0Nl7B8STwNcLHrG%A1S_ACB1(zV z71-=ixf&x^inPyk!r;!)Rl&m;dMSZMLT-5566z%{o{Mx+`F0x{B&;Q3%d z#`{SpUOU~4JREvE=-wyqfccr98FjznRRP&SohJJZ*!C5>|NGNB@YtWy{c{l%KX@wr z7wwGB8BaTBb22ySufyK~oQyIi-Gxy|Ry#C)k-i)ccH<*7 z5l^W_ryNbYVv#^VB;94g>~PK7Z}NxejQ($N2INJ0qz9wPjmN*)z!=-pLbiT_z$}^e z_Qg~ZSaGUF=D2KlZq#I*G=;%(O#+B{_TPc88U$gmGV>Vb6NLX=1j!Bm@7$=Yk5w<; z^wJTXemo({1e=p+7liPZ*2vD3O#O+s4rxpF zB0chx)Y$4j>U4-?jBkZQk@mopdk8F4lE=?~e$=YvD#%+L%?C1=H1OmyV&i{Y?#SU! zkq(6>KI!W*EVuS_F<@xl^>7yOr?q_uL8#_wL7m!gJ*MPklAHX`I`w~`OzA`i?;E)D zzJPcP@O15aU*Gi?ys!))zY+^EY8uHWNrpl76u=*7olhoFyaa6xL3kh+ zVReB^c97O}8;6Quo%%0@QZF}%z0~)<_DAbUzbF30wVU1$tP1l&UhF+19i8qpbBjDa zy_lTY!wZp2T5hsxnR!?Q69b2U+HLIDnnEE8@(x7YhBsYk{Z&U1m#Y>-P@o{98~WFJ z*X4)U*(*9gZKj&&{UYRY;k#wAzs1SjD{=(*8=v31G5K#EX%r=tWD?B=)pUtcB`|d@ zs2{K4`B8rzjF~se5FaUoKMC#n#R!i39Ork*Dwioy&!kAit zGA_AkDOaMGuxGcBmVCzu?c8-7O~&=H?F+KJ+wnoh>@-mF)M+e&vvjjsd>Mh<+ATVv zS!RF@Cm*D6Kl7b#(Uk{2pr2)Z#Gdol&F|Hsp8dQ1%qhkJeBNc?^Tt=n#IB#*PFjI! z=ZP{APu>wl`z6?TTlQA2xusbTNm(-2>wO30it@Clq z3;fh>yYrV?M!OI>#8?MBELN*NJ1uE1Wn(Z+1I9WQ{$iejGPN7`4o2;$bv*0VYpVW|SHx-(9C{AULswa{LkEnStRo zI;&`k`e0{%;5?>VPZ_Z+_O#}2`pt-W@G^@{g)#O8;5MJR5hGP51@93QY=(aMEZedcR z^)-)GOQ0epnB3f_HMl`~5y6Dc0iLDbivHF!B`8M2`-hn&$g=yxU!h9my}T&Hs?}&^ zw;htcn_4W=+p^>3`)6@xIR%9F zzU|E<2pHL;zr5?Ux=&gMPc|4F=sk;D8e+V4qwjL=QA6i_HnXn#NTS==J>;>rLo+cz z=*B-8Xl?lJ%-zXijp-*OJ7e)T+L~WP7|w6qzDZ12%%mDDu`-tMBidQ$TM~ofkiN2r zJMXUe3i`-lf!Qe$R13VPk8)?O;`$Pa*NG?oZ7G2oMFw8ZEC|t>PeOP83j$dT2QVMM zb0SA!SjU=>Qiu1TBcT5^IxANw!|q{?VKiq#^IpRqWu_o|+P`nBSwn7Wty78Zdi)gk zrl|MT$pAZj;r;{lZ0~!@uZ0A&5!n{od^O{en#J^#aA+1!vV~?2v{qjpo&E%89T&%o zf2kA-J>&B{0%y>Wnp`zH%D2Ba`tZy)v45$eMOQly3+^UoJ*q+*6$AtTY|ex!gXFXL z*q+FlZYbc-Y_?u|16PewF36M1N)!k4d6Fd-{G#2O>h-D`vM;XE-fsrZ_~L*@t?8RD5B*lE}72F z1z*9sG@%dx2e6U)mcf&G;Rd0Y4JurxWwcTTGjh0RiNb&wo&fGT+-~|r3d!DOl;wBQ zLqYsF(?f0VoYcu3>dYaOVeTq2`_1Fe@+q%!5XQj4{5c|Aa4G`$Nq2%KgsvyS@v9HK zmBDBYBdD2b-V%8Of+VYNL|=4vT2M0|97MZDsme$yuM9<_7&?sMC3vfP6h84A2`_#Vr=x*&IC;M%Mw?;ZvVeq?vx= zmB0-uhNrG2=Y@ZmsSH;(f%2DfS~x`Xs{7&@#!$&SC+|=e7ZM$zd~mG2UEu zF-W1<0R|1cc4M>&pc>uxjx+m;g>CiLTfigD$ZQrfH*T44oBpHN9*LJ1=et^t*LWq^ zEKv{Ue#K^xUrDX6?v$HP)G*NdDL4y=FkLze=GX@do@MDL9y)2^;P~7#ThtEwy!}63 zh=CVZvH~V16ZcV|FZiB+w{bv-^ewMv>&CZ^x{G@i4h`ZZMDaB9%VPWThPVQ5i4~r7 z57}cYvS{tY6cZ;Wo|*(KPc(QpPR_^d{ddj+D4&pplW3$x<-V~o@r(ApkfmbUpC61sWJGEl@<9jcNq}8m znz(`X#xFI|lx)sc%gibVx>>U(o=v}z=80Th6K?F zEDi`F2sc&i1sm)>I6g5uv{w-3Vd{XUjxdVUQ4v=3f8T;`=Kuk)^hnO>y;{-@n8*44 z1QAzGOD}~#oA!;m1$}5(zE%@2qSo{KEo`S6S+5$r;WGS`YS?5!2z)bu`K)DRx*Km~ z?{fpa>v;CrP^xqmV;8uxZo<0jkI z7bw4o`OjtwD_>ZOH5=$7j0UK>H)qGU|EgGwlX9|c-v%Ydqn)JdNTDS?c`^En^^?;U zhY})pSd|-=E^qyKUpDH(Tu`K5I^j*WI|c^R3la*XyCLd|ZKb_$s6Y6&mC3zQF1_t} z!L;eI#hX3BXR~(CRJEjzr&Ea%QR|lDxYM5u%IQ20t+!>xkNy299&$Xu!Kg}nl=xf* z3zoOSit`A>pC)X)2B4ljLq*~XJ3z11{Omwyw3KU2-@SvW)nRkg$%3bsHwdD6WNrTS z`O6QM=jmo-Umt+UOWy|0PZro$=y9-Yw_)k18}o?#<6BnmqUu7K#`sI~^4`$b z;`w9hcFB@fGOhy|L~Qm5XJM6WVI_O(aa5M)t>BS|J}@~-al$anV=ObYl>+`A&e4g74ZCcy)JA7_3Bf3#C}OF# zI;SRc85%g;CtSZ>0CQsO(;5)vx-Ii~r+#UHbklRX>irYM5J^zolJ_>S2pHlAV@>!*)Y=RVCF+wm zS}+28mfF|mY%K4jl0~rLevTpNT)hw&%Vkl3_!_%hrv+R?CLpUKdo9bz?hi`xT<+U> z*$FbrJod?ZZ#HAh2NAZW34I0oNS;(czL3vaxwzf@+{dyYZ+4V2WLDB8z*x(YB}w%L z*e*23(yQV#MlU#+xOJ#Lq0WBEOea;Viu=->1m1opd!XZJT+A z0y3c!R=UYLi6hRvakYxsK_ir+U~za}p3izjuQ$lJVkzjI}GooDhuV|n!pn8ahTMClTT zwew6ijTdq?$=Z9c;gnnt#kUW4+I~78J0HCj{z}8F5V8)@&w*ebzqtg_OAMea!D*Ff zQHc@sr*^o+cgag-+Cf$`?^$(e=D_g$qXC`p*;%B+I>L*s$OcmqBAw~Pm^UK^oS(*n zgIsEcyPDg)Hph~})X-9`?=jCFYDrfH^~D=)&Gsg!x{T!TN8=a4_2q2Lr+QlqZ#~#l zsd_didbQ;dJqCg>dMSDbycis`)w6@J=_DZv>_^@4hQEqo2j&IhQVK&4D67G7bf~DE ztmvNzcEB`fA*tS|5f3ujyHV4en&rh=mLVhD^fuCMa14qJky0C0V*i7OGnZGTmmPL z!V6HbRbAoc&{`)EY68lO^jyq`$e=XY_V*g-w%JRdA~Q1w0bODmqAwW>gz=$czLtC} zK)d1vEXdDD`_;vpy~gpfQ?)eq>u%G zv|EcfKxqLgkYhP;4kezIZq7w*P>Z5{+Xo&x!dXtwD~v=QHoSK`F2K$Gqyt}D+!ita zKCg$O*l4#z@J}M5`LwUNWrZ!4P7sL-;;C7-Udzw$`+M2Civ07W#)!kV&Jz z686c{Z|ThZ)=E+B-RuK45MM$`_N1D?!Q3p}6O!0S&P+Gm47~{1EFxj9vn?7oLy0tS?hWIadMvHbT&N1 z@hW&yJ2rciyF=P}9#%E{_xjO^qQA$pBZ-)={I8Mv2qY(tIM9&1`mMF^S}F{LjkTm% zlC|*AM8ncbm-T2Ekm*SdP`oF?@Er*+8`H96gI#vdCA)oZr!zXEVWN#B zmo+`-HJ_n?=jNERm>R%m-g;epa_2I*{pN@-YQP(-Qn1V!t1z%<2I(Jg@izYsV$Dh;P&_U zhYx#aV>_Ue5l|=o@{-%VIWN7QGL$waOw24?yy6lS`CpzQPY> zSR2Mg9GIaRM48m({PS(y_^P~;YnUwhORg`%CYjRiA)}3Q5*xwf$`3Ih!(!7-b?=9! zv~6loA1j3voy-g;G1_#~q;OK=#8~J#&# z>je@uMp%^n18-+QHu?AAETzUCmF9hMxZQ=#!jST;)gSuRNoHW04s9>KCBf)6u3FYc z{=4T=3L}aMcJ%?_dn_`2#7x)2i!3?8%;z4)&_hQJ0xsjy;p3Ovyi}RMCKbKGrHSAj zLBVAM={3{EUBZE{V)^n@6eJ9~-*~cp@{x>~;WJ2|Icgy?!{@<1GFLFWMJ#^fR1H2m z2AxYReo-a#Ke)TBQ6tDNczEUW1EH?9>((i$7FDW&rwDnQc*nNugsyz?H}_Re<)i;R zfM`m65!Jg~-e5J%{)tNJ`C{WYsU~<}^|RCsUhnXkZ`nYF9sv6=h)O^@LLTn;R$csn zzGw?u_*jGMA7*%X9R!v<>M%mMpfK#!0brZ~_e-J8<;a;@gJljH>$~69{?qq_yqf9Q zIVb7b=~PUPA39I_jc#+5o;y!DaG+ex+ST{?z1Fe>l9z6n6EFaAv#yCb+Zi4lrhKd; zhwE+K<~7bE(H3C(-K1ri{&{s->$Un@V~l>!6Oi6&ARm)bE(@mb zUip>V#trr6B=E$uOAIHgrJoW7)PRjqMz-(hmE= z8}HGPAdiw!SgNp+0bjyj&O%~R*CCtwtH!_L?42w&mTy_kHZiV$lJ!tBM-|+}ZPgEP z3SeZh|5LtzD4k|raVHgv=Mk>g5E1?3ZC|9Y`JMscrWR%>Vsoj}OYw#CNXv9m2^MHV zBa5b$Uv~ZmizNr@$sZv3>qf%ib@Y;A-~3Hr1YjMRyQ%dw2D$cCc^V*B?5zF*6Y!a- zddgk&XbE4;z5?fSB;I>vDM&9S@36~7+>8%n0<43ZJ&pego| zZJOSzUq0^?;?Yssr{_R!X)w5nLC?xnqAs1zZc01dep>;}x>^AaK{2k+d%n4CB(f9l zIZtg%{*n&UyD+cf7MEwvLUp(uvCH|q){uhv=~XmP+mH_y7$g1eR~=?BnT1%O*}( zs}_oh;Y9$?l)5n;hiV2YkAlypHgr3h@$$ z1oSOvXo686F9YQ9A>GLWb*!aJ=M5omo;j50QvK@gapCPfbi393iCh4u-f1L~OaM0B~qpQ&4u4E~^7Wux+%unM! zBy78}0IeG*w=pZrrNyI0r&Y)J_-KE-9$KAQ`XS?G8Ocz;`dN%92(_sJL;civPe^H+ad_Eo7ocSWD3Sf9(=&D8sxCSdYIQ^3Q?|t!*>;k@+ zu*s`8G$th?X%#XHhD^an<7eg~SX@0|k+Z}C3bRCYhwokECt|ZVKt3x0DOhpA8WUrt z`U+uqSN(%iA%^vRcq_Mxnb3RE^x2T#2w@nL_vM!Z?+S9@nfIAFczzZd5pM};g*CA> zE@HnA^G{gajecBbQ;B4*U39U=05C#@Jk6iKClUPw5Cf;|c_wM~b>m(57~}>oA@%Xn zLX^zt6(6-vo`1QsP00#ddexy1Q-C7O3qb_vbb&5mrA1kIri<49y_DJGVMYMWWVCQ{ znlIb8J^vwkde}Rmd48FU-8yws{C6ltn5kz>jX%X^L5>-`EJK|bHvkzorh~_}W@#>hRPLkpIB<( zR_wA<{T3LIJ_d#sGMFj`E26wc_0jpI?$ZKuz)aE175h98*QwEw^}vlKUM-zRvNwlb z%{%IY5et2>Nx<2??(B2R6w`uF5Y);I|5(5kp}V2$CNAhB#6 z|9q1z^b3sMlvP0rBnZLm*|+qpy;Wy@=_S|=SXzFjO9m5v&9pY8?J61X_vFieDcNAs zHICRz8lJ1DLRkaE1tP>&us_< z7yYvk+EQe7XGlM5;9+h#TRkj~T;I+PlXFQnH;{_Uq+QRF;lN%Idd*}uY9x3LB4h3G2LYYEd?IIGozZ{oLhJ zJJcWGc|nL41-h2`g>Hnf1k?WXV`d8=oB9GO*W$~Wux5!OV1#ye?qz&3sOIGJe9Thz zw{(b<_KfT#pxNvg={amZHb~VmYfwmWrRdAR%intS;xCegO|`J@x3JI%^s49#QRnZY zh_!W-leMMwnPmdE^?dh5JuOKMi!=)AGnqlE=s=+8Cvgeg`U(W6 zq4k$Vj?gQVbzGoz12Wqpieau=)OE8t9)E4lPK{(#X=O_5FPn!NQgNs;+WE3rj@DKe zF?Ji%&0GCJ6e$lC;6qcOyk_q*Z#@_mETlPM+;5n)%31I$>pQ+u=ypt-BtOxrODr&Y z;q#~hUnukO8m`NqCxwrghmEjtk&fYU^$2vadHv*eik^;5Glq0iV6IGOYTfF~x?T0g zP^FOoOQC!eSY+iiZ}pJ+PykR03oBN-H3nc|mNl^r>%Z+JgcO{mKhvwf{lJ@$Yjw|) ztAjx`T?BU;OiPdSFH*vBDN_rlyLe<3B6@Rx^UhCSX}aofGMPahX-lC2GAaGqvTTWQ zHi#stL5a?xAK&+Dza2-yuO=dSs(s`oQcal0{NWJq^4dSc`eaX8sRG)*2sjIc=HbvC z-VcI+U~!S_9!GmPl2X${r?MZDW!&@3o9@(JgnW5@N!bsmUEHGyl2IDv^q@DGhyXh zpyN&OGi`{w(?(CuF|_d{bn^Tbm#c($tWLn z2|{A8X9B(ZY~=i7F4x`5x{-}>x@g)jLncg>oluFa0x5? z?+lvhw^HNOkRFKw_&hFU-h0~o1nd@yeF5luudvT9THG2ACODjSxbZf8-+wxLa^X z@n58~POsYLj3e=Sad!y`jbv`|A?Tay+k*Ay3!l2*-0W{YD+R*1g&Vv8tF%Bgh460} z_Klg6g%WZ*N%H&i47!ky98I2%YAhJ-N`iU!*0c+jUSG>Iv6cV>vECqgZFMGuP<$D* zAp!umWqMQ7Pk82mYA6o=AjwH5*qF+ccD^*0!`XVoC7Qb{>FxtYo9Mo)HA=254h$Uf zILD2i_T9$!KBw|V%llWE>fZXB5kD9u;2e!Ra5mFH+(cVot{~EIPW~Ys@XRL;b{L~f z4s&##IM*=iMxU9z<}%|-obr8}Cu`%7jT;CLfYvwfy?rgCd1u>~vqT7rr>3;-wZ<9I zvm|NY#6f0y?5_~cGsTY z?%K6@R(z9N%85Ax9~c(fBXQgFM!)ZAv)SZRy7gnJxOzX;+yzn&fj%I?(3_pE!Sq>a&coA-i&Tz|(g@h|7u0qFu zMds8&9IgY#-o@Gwmw&6)>^pdz2k-M1@#)U07_KM4H&&*cDQvIHqUmBsne`Y9TvVZW zRZAeYg3~N5tWxx<{XG2ov-%HB_UqT?(j6jD{Pv+@CV(wJt=i`9KT?@p8%aSX2`Nj} z-FW(q>1rM=mPA#!yi9QMV6E0zzB#R}A7H7=9BakMf8S$&+9=j2S4d9<1&Iei*-Xy4 zsJ>X_f58-E9A%FUJbdL+Ti?IdaND0tf{1qiUi;4PB*A%LE8F-V3T zu2!}mIUWuji62Z~WKLUeX@?8*@fTbAEb75&d_q%B{45$yPp_>X-qiJ7=N>yYwKkok zFLz|RnXXoRA~?IOnWPx()8B98(2E)Y-q|!Pju9)A#ng2dVVoN#Y43aeiLzY`E5%jl zXrT`}WUo+GYOOC)$#sl55D?VxHN)Ccc)s!Q;>=ghl?>D!++U0&S>)_Q40?GPnm_$g zo7hq*$v3g~p)`nmu)f)6dxL+yT~3+`=@}db%^=0~#FzY4Te;RJs>I|pb7=&XgUKP( z07`}j%bz${+4%dkF(C^`ESbS z6s_}=K7BHg4x2{}VZL|%b9ytB5yh&h;$Z46U;iqCj40JBS!q22Z{LS}WCjsuWu+mN z!-wByol8i#qKLz5fy1Mehq;Pz=vS zJ6HUO&J?~E-mrI#e8F2>67jw)mdJebZgj`@XmR;H&UuQ{z~*nKoWFPPNwPKG&z*bU zF4GX&60%TgbSmu8Wy$iUB&0V1CWD}I}G3S>|xJrdp_&(~A^E?A@ z+O68`D1`3)&1IafACq6ylGo9_6VHCvf9LTeU8e{$U=ILgLCAcYGxy(bVwJK9%v)pf z-(xgVw(-YSAcaezssfMj?7{m+mFCt!ukO(Pzr~9-X7>nUTL;}apAQs#X}Vmr3wc5 zpiD6IH|R~9E?60pjiAPZdqH?=W>`qMU*A1Z)DX|T^~Z9IdP3a;uUNC0eHBw6Dmx#m zoS?OELc!DK+A~hKY>a3-6vV#-lI*oaEM1Qx2_OpQ(EzFVmQN-~4`gme=>LoSBl#Vr zS5yk=Llg70o`5LG1Rc*G^;CrwE@~Erv1iiW%KBQ8z6Ybz+#3b2J@F|27TFiEvs4U* z2fh!YM;Pd9n0o$rTlU7HG~-Zq25~5T zga_-&4|OVBp-u-*#i-%+Wf;40t_?;G7eQq7Pf$ruv7xxnx~jgo9u}m6-Q<74h`DBF zKLkP_-$oY#21hUBa4|F4e;UeI)~8%{fL6gteM>hWFHSjdu@41NOtN`82sXd#+SJ+6 z3(mP-3TAGJLI1vvDenC-poQ+X#o8YWCM|0!%Vx-fR+mw|qd55P^Xe7>kovpSq5-`r z$Fx~p8rKRdXg z+VcG1K--a$V}eb(UG&j|5FMYx8arwryo6X|WJ-kL9`0=mrK1O|TiTDGRqkH{lYnOL zF^ln+N)Z%n?>9ezfwvo5Yt|a~@S*Lp@Z=+pkroS-K=z(( zjc$wC7ZDBVQ6$C7BOcU4T3*ckev!cu;$Kz#Dv#FgfQ>C0=nAUKOJCF;^2v^HI{ zp=KGZwd4~PWaOaomZ#}6h@hs|O#~xs=w*vXxD~Uu!oBh#x1)X!3mzy9uUZ#K`+fTz zEJr!#0l760)+DUF2f{Cd+lz}wG)3+xqDjc-O;KGR*EwAmPCH7rYk8?Yc!|)vKfa~@ zlV*D7@w3_~%EF(1_hs1V36AwUrSF19e8C!I+G0q@(T(G~&AN``4qJ=Isg5IUj7U7e zQ9w00Rz&aB0~=oBbMnlNjq7Tdfd5J&564-Me8_C$nW*-5759HRoKMe4A>V81G8To5J)J*Ss?;(jE8L)ec*kxw?6dzjGM$0| z@i1sKP|-Xe-LDVjDQRU;+&QtmrO4}askic`hRaTqpNs00pHuNS~a~u-i#qmy?9IOI*^FqEJtgyR743$bgE=c{ABW|HBVKD4Y}j zWoF@Vc~_oh>cIl1!t&jK$n>lz@f8fCjXqMwb0E=1Ia$yy*E$(WgcG{>!`UHP2^MLo zFMVeTb|qe2K|{r}L(pJ|qTl@cZ^z6-*FA#I=Dx+NMTf)TUxlZ>FPsF*9^^a4hWzBG zCTKwnkM6-zGy!{}!a~>GnEcKRB`0y2o^pVn!B(rKHz`d;z5}=aVEfVSOuuPp2w$e74jji>go_sxHrduJ`z2^*Sg=)gT^O{jgLZ5ihy-vT6KXF(0050*N zo!8Vqu1?vsir_s&0fgD&x|SBRmu@>Hj7D3N6GkrP@Yius=Gb^w1>_U%mQg>_m5)kQ zQ6Xq$bTCSP5We<&L5&wL!1DDcrWM2OWfrEW`gO<9s0>Hc)zVgauCkoD)lk)KDmr+#Rx3kVkaH|0xZ$<6&$U8xlXpmD?u&J9lQ z+Z!cG=2W!($g!*H_z=2uvwYTShcWB?$-kY8S~Yw@+~I0wvVnw!q={bCZyP!U17VEd z^&MpGvCddY&svE4_^@N{qd_N`dT(1+oLZ~a8<*Q%f|z>>A=fWWI(?YJl6P3_*fevM zpQxuReNQygHKCv*BwI;ZmG09LIAPm-XSpWS{-oH{YEHi=)F=3ORv_rGE<$E`E7J0k z;RlexWbbo>CwQyLp7mS16AAFBYt!4qFU-s5*VcWKkEtsweB5m*M-3xd(}sugO0h;* zY@Y1AK->v}iQe?Ni0K?`d;%X~Fq0iI;^P+%r5$WHjWj@0z*t#AeY-LlrT(!Z#h;qt zGtDX!5NBWjU5ZpH@fJaU>;xM*Y%??|MPb`hLzzLEK^O6U1F7Ni0OWbhWBTiIFOKZi zu2YP8vqm$47lHQtZy)2l#4gAH0A?tu8SQx`=&78{58a!K1EQ!Pm>A6)BP;FrP}}br z$_%Q-ed{J0NEY<(ioRKu7#m|;3b$63MqS?Q2LM=x&QqtP(7C@m;5%)?p zHZjHYphOdx5E+dTGFtIbTx5TNFLdFNKvlC!P$}8c8o&2A+qZ+Delk-3QT|ynmFV1v z0`{wh-Vkbc4rGo{-Gb@@D}&oc#{Wzk3H})7imuZatzte;&2($eZOz7~+D*nIN+xzWbdu6Lto8(ev^czCDf6v0lR_L_ zQ@%_mzq+=ZZGuJ|IT`#`@d|$k=fMZ>9+^opu-;sHRH+~x!NkRzN_gN9X51zVRmWzL zw(w%LrFW^~xK5&5*zq%j=G$Y4)~3rT80yQ``HNSg_ugC8W+*e^{pBePLNJqR+wD>W zsM+v!$-df<6@*?Vg$)kNkl#0n>mB82K)z`89Jg-^y&8OIztTdSe|wDn2QU$}6ko$vyvp*iw7C1}Z(A=p?OD1|f zxP!l+PL{q}G$GNy7;9ixSU2#+nNA>(N*JP#ja}hjLgPJIlU;Oo~9@_hm2~>!n3d4sbb_Pb%Qi&tk~U(~jXE z7pdaS4H8z#&Cd`dX=~3|Yn2`vK1z2Pv%c!e=XMw9#TtTKHd_CMu?n09?&THyy^HeG z=;gKXbpx$Ya-a?bYhPL;RkprUh^xKi4W9zFK=cBC1vjbAM_t723KI>uE?!kM^@Ji^ zJ^rs5w)x?h#pxfB0pHEHWOycFRB5P=qknX*Pf+jdjvg(2yu7~$+hUqJwq_CY4tMG3 zi?qGWi-aq`<}s-WMp%gYdJgav3em+Xs1JXT`DsjnXdWEnk@dI^UR$8t7KowRd*ng7 zTDye-3;xaw@v>)S?gltKB@o&oiXJG?f_3( zBuS$jS zUs>3T3KDT&*4i2L;a3t^rnA3Xe_J4>oxL@hl2h>Zs}VG*IxT*-BxN4G74 z_I*Ajrb(JM9IAmU++XW(D{|w4+-XCy-DKUz)GV8JBu1okJ$uYO#?DBM8{h6noFlM8 ztozk{mU05~=FhEv0u-G#6cDS5jPbC-d`|WUb>gcmz5yh#)pO8qe`DhIo`u`&Ybp1a z`51iz7k7Z1a_Q$&`mjGt&-c?EG#<@mWcCfsfqU^jRm$lVK_DhPf;CoCct7 zU`RTii-o)g@G?@^=Oc3)V=j#$*=XeNE#yt)^8x;+=1{MR=bx2ZPBVd7Pd@)8`dP|D zN04mb;P~@{I~v+q53rL2z_37=33w@h{nkG{P9xWWGOj-^x!kkLGyeK`zUq9)?8yhg zB+hXeu_yQfIahDBR-*EDHUe^UZnco_m-ojaW{j8B!K*x!n6D+&4C`nEzRCtRHZvvx z&^DSD_|k*;J2?kRA0L?_o7)Bqo3gaBX25)a$_$GA5iezVTPhZ&$#boI%i*;#^cVOn z1yod&o{e^*_V1{UGi_9|k5Rbxldu%|1;lwzxHK-7W*9heX_=Fw8*wZSu8d*U!Lkzy z5CUBUXOt9-DexpvWUx=N@4-KLh2F;j4yaPQrhBw`^%%Mg}mi>ijGwP8T&U?XipC!TLDMZ|ut8}r0xh5nC-8?q2RKzvpA|cC%ZVct;7Oiskr?4*K-~WtL+gfMB z2A3DiggtFy^d&i3R>SMTFOIs>7WDO~96Q z=BzLpTFh(hoi|wi8F_dcORhDWb>8tS)zI_rX3zT7>zlIuCAK2GbZ7l7+1&JYVud&& zH;mxxLr$#(_kv!}W|abd&1RJzo|v1Lso-#xPAIAZO7qH=4=-jK3 z2QuOlDc!AE(a3FOVY#l=#W2~JE<;)0$GL|A`8m$-m28cE&`}U~5CPe^7>FZ!f&cjY zHvu}P$oS(n)3A)7zanCF$nfM`bd68+qP5AyvEKrbH%axP43juiQS$Q*i8jd9kkIXG zi+@rh4wS0AWa|1<%8|$F@c7X{$7d1cwtVWdGRd$Y3OR1bu#4x{3p+p@9297X zUF;xZ$kWzOACVnukV5k+VHYpX|4ffJd#QwaAuF=kWC>HY1guMOw;0aT-8 z_%_H?KH|L=@m&=%wRxiSgnT?DPi>7)j#AqA9E@nCi7dwh_`8ba0s{0E>w|RoV7Qh! z;NHrok5>9Adg1ek=wQe_N~1>?M~^ckgx2P{PVuUCyB&w6c}>Z9?Zl zrte9=_$&ieY5YlW#H zP4A)YWRCcd0b>TTdh!cMt9NkZW%Itzax-uc+SmbvDc7^x8=Cc)ZMjU3dVml@&c^8n zATsoD_5j_L5j-)cx#w6#Q!HEHpAmsTJ|r`>>;0FW;a7ol{E7*#bgn-DjLfPFCmC+5 zYYfPV4=Z2XJgiCKSKzCZRz*w6;dT=+rtsY@hGBSs)BJ(afaJAki|YIm%>U<4 zdEwCd=lWNe_5Hb(-|dddy-Oh+3DqkEA5p6bi>2@p;N$vg5He|WySnFZgfp=1>PvO_ zZ+8_socVEvZ<#-8U zd`G;4JJ?|JnCe(qQ!i1}2rrAaM{t~_;flTkf`%E(8UWSm&+6jtJ5)k+6}z1{sP?St zA@HCD2cUgm`L0~0#6qso)f}-Z=1&8uJ9og(4hImx<+ofK|1}Y0yrf(}+F=%D*8~?T zXBfkQmY#Jg(7G~8ya5U+9LOv((uO|3x`I5q$7rC&;l@Drr^*Vd|1ePQc1vFMi1+87 zb=A+3mtL3ecZb#DqJ1o&WD&eC5cmaQpZf~hoJe@J;*Z;OBY98hoyxik0bYnZ@mUKF zbdz&g_ks#}#r*E1%5Q%=eNMmss6%cGSZdOL0f>-BoO&Sj&cjNtq8JT_Fy}P5gOs)^ zaL2L%R3~SDmKpRxS5|`O^@L;MlKLjsK$y*cF0Co=fL{6Fn`~%)Yt`|Lgg){og(?Xw z@vAl2rWDHf0Xi86=oz?dpt-Yk~sryp-;;bTufWH8FIjPtFFSCPP~gL^XuI`8Ny zNYN3W86EW;LM&G7k(#d*gKwb5;_yPTr7-yGj2wR$ZC>arQ6%lEtl~Z4zsl8#hH=rM z$g=KEex;S%F+X#csK{Mbdx=tQBGy_K7aXG45?=eP4%f5#7a+G|?`fI}r-%rGxHzcg zj_H%?qcQH!gszyT+25BjXufEi$*Wa?jnUr+-<+eC?(+L;XW%$E>O!=gV-*p{0r5}J z%>a;7hWu>`q6@i0nK4H{z|)v;{ut%1W?dDnDE?$aWb8CEWTf0yQ`!y$&%T+I-2pcH zv;=qb{bf;eS;EX*9DmO`e+Wn=fhkKgPmIcfLh=rY*C!vovyHEiq-&hG@b_b^16&xe zpJfe@xjB&FKO)u+vTJ5 z?i5t9+d}fBCVtBmTY{d^1%ES;rX+@9aYjlXfai#e1wD0(zQ+M(OsNm7FJ+a&r8QCF zyv}GL`Zm6&;}pdMBp)F~e!Tb)WER0KrJ`^1@K&v`Hinj24UCJ8JlI@iA+ux#K;mS8 z$O8e3HMdx*73@|+MU23h@EK``FiS1z=jRKiO%8>h_GnnT&&qHgIo`%ia;e8n8oKDY zs16a=n&bn&gFnddjc2ZHO+kHs)bJ>(tEAMcH1e9N$^;1DP<;I%%3)60TG$~`o5=gR zoyeQ&tEI8Jqv2#o*}JK?DfL7+j8?HI-#Y$?1v(gl(lCSmdejVXb3qVILS|s2!?gld zc;6|%o%Tpa*!+cC{RUn99nd?oTqQ0Ol)>)EWOZpa^XJ zVnff}=aY20=YF*;6fnb`)BIqgZ^1S2-2!J7``)k9dm`qCX{}D@jD^qW2}sPr{+Xwu zuO&BUD;ZL2#=W;8j^^@cm!dS!OgbWs=DHyftWAK|Rbe`trOe~MqR~@FRQSwM|Ns8_ zRX`9WN)ihjtQ?IEn>W{clAy#c6AM+Bg${PexEthY%?UD)A^w`YBTdYf8xCS z$HLTq@^vS|ZuM?;BQnM0(XA(0u~By;_V6J(;5+oQ6i|1|FzmJFNC5jccXiLNP1pu; zMNQNy)8fA6MSP{|L7dfA75T`>t+3XKcvI?>40o8TITj9j4wFc59|g|jP{;|UNEGG+ z(Fcl+{;|Y%R4j}_`Sr|Q5evISqwvH6%=6DyKw;*3??3&uRfo;<08i##US?wim9;H! zZhAjlr|WP?&&LGtiuv|7kNO!{)E^@_V!Y=5|EV;*n zpiAU90ebX5TSiUP)L|?vuj2WdX7~yzK0WJ47SciJetq-fN8%Cl9Y=e|rbip!Own1S z#m5P63d%6CdQXV_@>7l$z6MNFE{e!iw-Sgp-0TNLi7XxGr+zX(V*|pkw8k?6(sEd0 zc+9m(SusjyHUA`5w-!`187{nvu3y&luk6~Ne2i(ZkA5~UDI83(v+ti=1csEH64jHR z@7q<)`;XH_tESWq`NmXu*Ye)EmY%`PTrm}u?~qJ18$T_(QyznT3ouD zCHJ}UA-O+>lk807k+-i6mNHkUUB+J%n}skj*lahkqY)lh7fb3V4*;FaqP00`OhD4H zRz5C7V+aKP#2aY1z-aW^K`*PnS)mL$_lr9}E?PQIr=a$(U_x5Hai3csfv;?`^+Ub7 zSBQM_zm4+u=G_n}+OdUlSl~a)DO;DAJ7)vq@V5u#pAi_7A?w;(WH-V%I;z>7|3n}= zCS6GY@-DuIEtLQmePjZuiO<{uuzIxk<(VJ;xIVg%R(tpAZaLW~&W9%1zwfSYr6BIg z1qv|z+nxL;hWK1hJ5_)}!b>m+;-^QQTHdKHutd_Iaq}<@t1bWUA}5JV3*?YcWRWbH}Y0!)`r~^SZ;-H29R<3-83N z%ykgo;JnLPakN2)0iECC{MzO*isMko(^@S|Ml{TY;rv`1<`Nrp)OSs~q0gC)`RK61 zZvlu7XFldVo0%S2+eu%S$(&Kydkne9HG^yd&%CVdAq4`EWU#X@gJ-1H&3HM0JVJ@1|4Z zy)dl5=VOaOIl$v>Odo2)HZt-HgsU`2U}zFUiBfp(m5MOqZn1_L0PG_86Q*KeHoWJ7 z4MeKKVKug)MqwWMRMwUGAY6Qe)V<&DwFX8qMdIZLAQ0HAwG_A~lKzHPbxWs|B5y6D zv15J5wbkPyJQlBIdB~&`_p17ggDi>zbAjyQudh|<25XYm`WL8YKVzNzr=s1d3b-}m zD!`Dp!|{KZe>LOG!>4?WHqJBDj6FhuyqRFVyZ;F(u+|$ou*91j2+lN7jgTYWUp>}G zhL_5i(FeMm^J`u?wmUj<$`E4yrq{cJhiBdwR0A6(0WXAb5@cBtQyO1+v0C^BB0mT@ zTjs_4`WuErR^}qO4?d)K0$R^GA4m!R45<{aavwK&T87aYVr7koT&d*UNa~-|u51+! z%f{cUAL%<~lWmJ5)u!*NAj7)$K7idLJ{lSN=;=~SOZm~l(eZIO58nKdiGosdzu)sZ z@rF+rGQ!_mun@TukJXTUrl}ok(Ao|&1KrKlBm6R3&=46=erxrC;y-nyC`TnbkHcu7 z(k0aL4;OK2R%+6UkJuuw-ep@3livqY+gO@2Z>WM}qPB`n-r=tZdEZMBE-`6b`w?iw zX9%@Zyvrk0u6a7~x1bimUK>Kd19IE&c@Ce)>pzMCTq4w`d=%K2P}isZg0&n=T2Z*; zYDXEI!ja>U0GPxeNUnl_R4igon3ds(bVp0lwMpGmR= zVvQG)!yixo&niELAhO=*a5N%1a~tF1I};b0kFWm!cVd;!VJc3ksNIoA*HZr>)h)lR zhTI53=9N;Z4wVjn_Whl>qyR!D-&w~LD6~Rp zSXpc32>j1u-)J>Ddl`(RQENx6{B)A9P#fF}G)Ao&Edp=fi=(>u zPu4uuoSQ8rjQX|Lxmh<~~PYdo4e)Tp3x18Bg2N|<#xa_x*e?&{d3zghk5uWW3sk=LSA zD3asc{n15T$w<%*AL7qBWw^#?zS+t@FQpr1Nru@Z=4+cFw&0yVH#Vg=Eo>Y5b9}Da zM!!x9K#fT|7JXMGywRhMWU(I$7k|C`sx1{^I!&9dFXdUraczI}&$1)fYf|R2O>DIY zCbS<%Em6zLP1$%G;~(??ET-)<){{p;+`{-%mRNxZ&TskF;F+1Xoe@&12HebGS!)3# z8Rn8VU4MplaBKVOW7N>t!D~)>WG56>u%~N~-Z!_@%w*Rgkc-R#3NmE-s`@jv`x)HB z{+p|if4x6VKV;vY*K|#IbWE!0#b8pqY@e`kK}Jz~`AG)!DK{?!%Qi0k4fYD&+I*m| z`8@yD?s-UTd!|MLU5nnHI-h9|52gVc34iuU=WaQhU<$IYXOb=Kd07ZFM8xdY$^5G8 zk*uxYAI{+;uhYAX=%3xFEJ)!(yQ3J;-XYl0o`6Cm$y#mq#oAtAlDRA2p zW?C7E4~PdBvpG+JttdMlxC3(D)W%Gmw(Cgs44mArxbUE=%yw1!{gkT{vLi;6Jd%Zk zJVkG^=tS9^^Tn+br(Z?Z-=ED0nl`c>^q4Vfx$D7oxwj)(aPerPLF`iPr;>!yGbfmF zeC3s)*Vg{Uui;FYUf@_9H?epUuK#nKiPcVtW@UPPMUh^zox%DeowrBMc6#4d)uZRt zB~B5E^rjy?E4I7xNxrw)Z@qPj)kJhr!&tjekGtR`FcXscJTG+}*M8_nhEr)5#nzW6 zHMcz{Mmc{B-Vsi^rSxILz=aR%T7TU_|Fc0q+ztlXvXdc@qFC)q&$~y<9WQ5{<62`u zH;ZS%fjOp3uahazhcC`w4E4(w`D;~TnU z%=WnaTmu@;-pMC;E8 z{l|FUOUSj5F*Rx1Ce(=LaQ|wXe9+zG)1>QuAXlhO!dJeoZPP&u*wC04RNdO8`2|7S z9NLIjy`e=~RR$g4^8zDzkyw~2VJ0aI)N%k@D+xlEQ<;i;ih~G>G#|jBAeV<>8EvT< z9-E4R93OrVj*>6?Px1Hm-YtWR1l||njlaF6D`Q%x?@m89E?hsq;g7(hp}0G3<{ zHcmS_mTQZRHE>1f*G26jZ>ROttQ_tvZ!ho8$7Uo+V#?U4+O!iU_+K>m9m&M{c1A4T zD0oQ3q#UoCZAy<|stp3^OMR;}dvo0=zU6&|I`qwHYw8NkdFe;XV_yOynVLWbUDChZ z;6fAjE?I5Z{!#UJ%Jjp&c|t2AmVUv)3J57sT^Av*X8>H-g&WmpFk0zTy?eH2$+EJy zejJ+P5N4*!^d&i%%Z|0InojMzogKx#bBtvQoh$}-S9JNyAA#uz-($N_6=7qWf7U8Q zULjo#_jv~{?R)kw>2?|#A7l6E%TgOdy(Hgz1ym-nr%+R9I;#l~sf1-@+t@V@K z+E6oUTWwV_USPHVsH?rC6X&R#&C$D(AyCMVtdjlw0>SVK1hH1~E!CDJ(YB?kkejSN{?fyOGQet+Kh z5b9@j{z$oP)-R7;%>6fHTai=lYscN{UmUj~1kb8nW~7@1BGWM8yrZE&?>pyQ+fJ0B z{ChQHBy-QzNXu36inQN|odZXqgF84&x>27_->Z&%aT9a+?$$0GnFh+g(+ssM4%^AH z@s|vw58h4uQ=+}T>U)xI%?Zjg-JWekY%iI#rE3u9LMk|@3iAX0*I`Uj zE@|fVeeU8LgL0*Rkx^MTSkO_C<|OjR?c(!5szKOja0aK1A;^EH21b|s)%kYyl=q3P z*vj{wWcpK3(2E|4?Kn=;EiIVKLmMEDv*H_Qna{C2_qg$QmVd8vz@OJ2xViHvmaP+W zVZpPdO`|-aRflTKc~Ld8)oGs3rcmYoPDFQGQ{XKld+kA7!Hsw`ZX)-@hJ{pXHyd+% zpp^Y^HDb2o$jdn5DW$m7;-S73h1XQva;4O>Ap(xlrRnvmo3p`ZsjZU)!+m$s6WlqmT{>0 zlY&a_J^DG2IN;hp*g(Yu5)DFFYJ=#yAs02sTbD!yeSDJbv&)gIo&>cpepSMyidH5R z8>J(2+5>I48|6|U7g`vorjMWgWP8$2#~{0Pb`38_pZD1bot%8*!&taxiv_RP*#inZ z$(I?I3<_>%Jp4uWj03wI{KV7pl{+F_LgHar?G};t-gxWWYO@WIaQPAla4f#H{UH6* zI3y9i4~mthD0mD6-v`eE`U|s-oMmgL6ov}u_xA@wsc_B~O_i(TY zl|N8lCG=E}^8b%b3`EG9+LR2cl69egVgcM}PdLyDo|6jiH+%)d^KrEx67XtLt_Ma0 z#cR8rC^4_+<1}R4p>uAe!_DmQ_)|BtNEmS!xml7C`SShCI)H#uwgsHQY}0$xx|6JF zoMx0TvNKAju<4HB^Jnq@s}!O~gerx~1Oi9=>F_zu2-LccLeR^~bdKbm7`&rO~rWNB29a{LYRLORyF&21g3z^MrzSkivDj67Z zLxYdE99BwN)kcGMQJFje&WXr~Xv>$tUQk=7t>ibU^#AiDnr9ff^2}C#DRmddX z(={!hKad3-T@I)=Fk;T7qdT|zT%O8^xEt*#*Hpo@kR zI$H+yWw7%3-vj^7TuEMU`*mbX6b5VR?4(SfI)0?tvdk;yNwf3)zAT}6*|~*6)dk7w zQhd~V&j-lYeas_AkK&SnT8gj>9I60CyPw^XaXZE=5z?(vX44-FU$nt|(7@qUsKmlB zsR;(%N30_dFvw`;RB+LjMm#;%P$FaordALOQ7Xx)N7<$t`Wh5D?B(_{@h|@?8B!i{ z2cIY5_%o4^kKqEv1%RX9SQQP5$vPTMOy{%ufGp7q_lmb%aeALIkg4D71+`hY?#c7Z zl8Fn7lH*7W0s1EhQ@uAlEO$>|5PY*OGSjK5ZT;golf2^RZ>F_DGgTsOoA)zD`@)p| zr1zE;Z+EhI>(lRvODF_sKS;ZK8Z*^=o@Od8#e+wQhgTiC-6RWrh|LO6j9lT@at++5 zQ#c%$hP_5YbQ}TU*?vVZ1l5V=O$uLiu0;vY&3~5goD%+mJa;;5`y>MUt_@p!2)kZ} z^f_Q^ksOKjOShNZPEEi5P^|BDgkT$?cjIBrpkJcX=Tl9%t~io*PjSNF?XT3p+kWU**P!`?X6&;=ue59GnYvij_yaNHonRL%T!Sp?6S8G zKyTNOK<++rBo0JQEqa)NvfBgHxMB>yGd!_@IlFdLN898}D=xC)V8l^!{EG(`RB|u^ zp7c@vQd+EbcOiI)1pcQugCh7=T^q!F2YTlL9p+&}vhEZEnwMh%#A1EcP$e{-{Nzt! zXui4_ak?K=}kz$*sZyb^OY%LaKW=1^tPFE#`BTbGB^Rj&3GcMCk8)KE`6rp!8T zv$14i-x>83X96m3y27HctQW<&?&*lkR1na*f}gsYAd2!?JWRZcE~Z-av@1P)pQkH6 z$Dv@7NN@kqfPA)#Q|-ge*)DgjYVk-1YU2PTDyWRJBm;2vLd%em&7UuD6%cSi^BQ@b z|L}U-$-d=@@>?MI3agy~7&JfJ$w&pBy5NDXTMvj~)duK7%1bm+hD?8jDYi`#v)Jq+ zv9nhcn(+IaJt56PbgB7LCF;^3oC{6UH)rJ+0Q9I7q}4T%zig9qDIzi%OCOu*%8P$S zC3?H42?0UsJ-m)$6PGhul~A9+#8PAe?eVSPsm8}s$F!v}u>AekW_pJ5m5bV3LX81g z+5fY6SNwVB!`hwJYBhgYGIU9i&HvM5h9AWSeYQ*5_$$Ou&C;=k{BaHN$ZKIM{PR({ zS8%|@sRKLr=y>LppB?#2Nzp3R7!R1brCyarVl4a(u zY3$WHh2!S-YD0)}mbpV^^!eBC8iH;#1*X9t39%Qf)Wph8i|t84KVJRJ^nB#{EI^`2@s`pckqP6rL@aLSbbo#^dvIhZ<}Z5(w_upOUgD-Eu=u1) zMkwc6&8s~}{)!njad7-K!=I765CUG2kNewhLEoItK>=xu1m>*avT+le_3hB(yM428 zx^ld}L_a)#X|BT+B{&0mkS3~>8x0B|pMC?$h~}xyu)b4X>*-ej+}%EDZhos1d~^d5 zTMx1m-Z&MG7D$p2AEqnMb$gCc?>0uZ?;o?+akDtOF$R0=+@gslv<&XcFg3oBT8eOa zEfmyU_I+oaDz!SKYp0m+g%_=Buok20Z&nsXgH$$+YB{bSj@+ur_-3iYYEt(`=9H`H zjoSBbl`>U7=~M;?g6q@wLbEziCK;UXbinOnPYP?uhjg`Fw=(9!H6JZ1Af|uvu1RlN zd1mnz10Pis&dCkVr2t_BL!;2oyFPq%IBHe3z2BZ?m^VWpb$g@h8AY<;Xq!0+1t_|p z2`rTHu-~?&PgSQqfHblV;F!hUj*lOv3bk`o@k@A8btpi>lbv#SA!OpYEUI38TgwrI z9)+u;s(kfv-l5aQjaBSb+=8zoaioV`GQkYX4#zBaMGdce;+yh)VA3ao+@~^-bLel= zACiVs+QYtm$)C6K7I0DUpYn0ty{q*my| zN2^WnEW7MnjUwCM%7RokWlC6-8T5@H<>lF}Uy?quv+2tkGt1%L7u(}f5z~xfB31q- zHydGJNiS5SB+J>)Dvr0jJ6Kq8&o2#RX4X>tSRQE?Jz$wv_>tx4>f1T9CQSidF0ZaF z2`V5IG0=bO6vQ*H=P4UR`K9h=ynae<84?Kr7HOz!)C%w>|8xfh({ca{6V|oTl?J*5 zJ$Ox+Nu|Qm=uL;2)tY=G0jkf3xzlvGwRh~CH#DYIVmeq=jXnJ_Fv$!dj1Ju{Uv z-DjWthwPpin*s>>@-9a1OL6RRVq%L7NEndKux@qVI0xy{%!)o!B4BLtO3T^H zL9=(2A6IQD9d7_|C(AA{XYkZ{EJInrleFYQEei#4#|Gf!l9ZiEm!!PVU7U_5kaT;# z#+M~-!M1D@ygmBulFJ*dA#*`}=4SZ*$l?hBu4YZ3Q!?H!@wQqWS~}>I^tSnmHR*J3 zwgWs|;r}!S{Ayft-3Ird%W)2HZ+z%d94qIM9b}6{X9y0eI;IeC6IfEpfuwsYg_V(}g)HAHglz(z(&sBqG)>;NKQ~A297>+MX12ryi4$O>WLTlTLbh#MG}Uk7KlB%uS?oDgB~IcYkK3@-jTDr!QGGtK>sS$7tySm zHh(IXd+SV~{N~Ye{};$%u7ggB^6dEPvxcw-)ShG* zQ5EhGy1R{uddX*aRJ$uX{2851pj1Q8B%8CPL-Zx zgV<6fTzcd_JloT}aVD_puk20d4Y_5UYqzgmZI$f&+|jYgXjPQHBR(J~3}2DdD4Yb) zyOV$wLk2HiuB`f53c&Lyrr14dPRxGb`Bx&ifKVAIG}?Q62<*)F?ol^CPO`fG6y1;v zauGdRp39c4+cg4=Uc8~6Hl-u_zJW6aO!7Ii& zbqdopWllVfe~2grPt@>XP)7Wf5YbkR8=1Epa?=Ol^HP8K&Z}3CvrW$=yu}H`ywVn5 zlChMEAFeC@kh0wA_-Hr+!s#iDnyGHb;u6CH)s@OD6wai{>OZyq{yKB4M=6NSx=M(N z`CWrT2u$!q;!XWs-+x9#3jJ-% zE`dZppwZSN83mw{$Y{EISr~WIdrIrtxp=sf;rik2wj18!IPZ&-*b`@39}4+P?AaDm zXsY-ZA8(}qA366z!iO+pzDU!cVEWZ!LLQ;U$PU^1EdACF<7H3E$OVe$VkL$viESOk zFOF6WDOD%e+jBND=cf5`h{b)^yKbS_NUNh%=Hxh773bwRn7iiWtbi9#WTJ-z$S|TZ zRKCgR-i9ZBg|Y0)C}(h10F^VT;W?O@8vV4ZLUz2bWL7Rw+Dt!7Q3BFx%8vM)BbJ1KIfG(ZpMn z%D5Y3qKT~!TqMs^aXBFnza=oj44=KU-;%6jQAC}o{JUJZmO$M@^hH3~>FK?A6Oo98 zOg+dn#J$rCz3gcI36D2SE)!kAN)x6tl<^bA#jP2rpslN`ClfI3hN?;a(&p-X|9&jf z?rG|tHoQ6+8N_?&a=KVQ;_dX$hNgEh3|0J-*Gr)WOU|vuz}GY-?*4*XVavj>XU#=+ zfbt7@X4Uk2@?l(=SNprL&+L`Osv-5}CZT^T@eXR~5w9aWBy;tuic6*ysWU5~HkZ^7 z#^pE8QG>X$5ov1I&EWQx?p{>1<;cVeK`&}zWo_>u@N{=?izn-mQRIC)RA>CGm&?kF zidf?~wASt*`>Ba7tl=$Gh+k+C8P=eCFtmht_tm|;ht_=2JTX16|Ge>7%iGIwC=vEO zk=%l}jI(&eRg4#1mWy&+cYO-oN{_b4xqMs6d{ge)C;y<=rV|$jhi1#I>57N%Tl5}w z-YvIQ*%uXi--~)Wyz%#E8|}F5vEBg1h7IyUsy*qBccRx!a7D%VD7>XIncTxsh3c`n zc<&8sE$lujjP9LWC1KSh@qqFj_XF3bh+o14u6I15e2o?#^Mo39;vwKq;u%H(?Tyc0 zL^4S1ja+=*zFC{yEM~LoT(lGX3j*7O4$Gm`Nzg z4+}32V1$vk&YC&yu#%j&uvjqz9H+xZyB96U74=`I<9)ex+hzX5yE+p5fm9uig zl;>k3dt1!%hV60N&iZbEuguNU>t0$RL&;@>p)uN{}46kOVa zt3_;ixO<;O@S?B1vnw$lX|cbI6Bpf6lM(GJlJyPcMYn4e@3DvBlA^H{dl_?K;*<7|ADzXNn^HbwANQhv?TOr-<{M-uWCEIm6tqcA_pG} zum6A#Hl@>TW19@xKlPIfpqXxp(pGG%zjIl&_Da9gyh8A2@7$$=wefjF9 zL&lZ77v)P$W2z2IXNXCsf5EwBnF%JP=(*Wm6X8N^~b#xtTGOph}))u!xZkmofSAEiUz&LJ!+r2g}PdMuRA{eVpI;6ck zMO82P*@uW-0B!dZMldfHuj7=t4*qhTP;$F&AjSWv3CMMz{HgTODhlmAXWW<87 za>SxACSq|QmTgzRtv6KH1VNptT;sSU=I*`L5!f_m_lF_!#x<4u`sM4hZa&KNsh9Dn z@aOpy<|7G8AN#V+5rQp0WxW#qNY(k2Z2O;VyB^ILkLVXBzNxGu@*qOf-@6TO|C;qq zb?7aFZKi)!Nf_NXxdU}ef!nxue<7Uj?s#XuvDl`hULnWxM7*IS+HCfP8NY-IMGja7 z64?*0)Er$`n@uY>>dJsmi#jt4)XqKZMa_kVs+V)Vtnyel(8=NCQt&BgUEx5k?LL5M zn?rjh2ui)!|Mn>b@2id5ceELb!3Rg%4XaA6MsxG9V|9Hl&f(xw>aUOS_jx|LY#yKP zIx_U4&QtzE6uo?WYBGJ4Klk-)x2H(FO<$7J&Bx`iP4IZ(BFVEXp*N_eZuV$nH~S0$ z*Yrl8yp*tJAK%s0bZ1W&bX#!imET1VGuOCoS-ZP0b(HN*-d~(`6J(rLtKK2o@G z4F?@uDKj7WeJB~3s(d*$M#j$6gW`+*m!_7|p8Fm-B511~21&2Xy-y0ijOQ+BrXkhF zv|N5subRxYH8wIPW<@vTZ@lTbX8TUkyT!$}|iBBr~wBDUsJgrQRuto$vfDQ1Y3;VT=5$_4+r&Fq{tjO{5F7DrS)N;#!AzTT;_!FXkJt>apJ049dox931JZk4sD(;v2)okK&1OxOb?Y6#{08l>UkdHKV5!0tb9X0k>Ce zpFx{e@_ErV522O_IL6!YETmu{%m4Xn-R{iVGG7CUAmk68gF7y-dQb`s>;hHNHVg%? zM=fk6@8x+AkFLXS;VRx2V~t0OZB0uzxGTNL5##SoA_RB&Hr)8}E7JoopWmHYvOdVf zOx-6O31MuclL*VQ-uX6+V4~hZnz_Lj*2yFa9RO4(?ySXh@hQQ*PMmgN{4>?2k4ric7H+ zUQqGSg%nQ3DIfNAHcxIXtflrXE~QR)Pl}~?{++yUws;`+xAtJ_fPckMa=dw~w927@VHh zM4bJ|>#+<{_iyYZNkoVmFS^X%AJI0X+4Yj6@kD}o;PW|LX>&}kPWAY+e``J*!D|^z zbdrzfGdw}{p_9jbrs~Paub01xmb&pA>FI)2y#IZacq2EWM*`2Nttj)GXU>mGX9YRM1XX87@R9=4Y z8e6YiJE^eE9~;J^2+$Gl`9U*q%fX=8+vHT^c4dT)$tk*?EpC#q*NZQ%`K_zZqYfMg z6)X|Ee^4X#UTdWE_Lt#08e59?`VRSnH3pIkCCz5S!yf*V!{3b}?t)0~*UU4`54W1V z{!Y-!D{WMIS$?}L!dMg}@1mFD&QLXsM$d*93x;bS*%o2ktk<19ZC|Sv3oh7LtN-SK zfyGqoY_8v07(35&TEAF!+PbhPb2(&wKjEpI6n~NYljn?0SM0FZY`({+b1Bh>?I#%Eui}gj#FM={ml&dChz6d1q_! zGDBw!StC!ej*mqz{=*06Bcp4IRpn8`8zEGBe1=wIb1lzo`9$CSTk?h31y_{g1sG9W z*pIhYCJP-Tz}K7iIIZuW-murfjv%(R-)WU|PBhw95kABV)E@OUB9FR0{ikU<_hzll z8%n`iCjTm5sTAtY)tT4hYp(9!)?DB>`CmV9y1mLQ2c5?4`tw;Mv}Ii3=1|d3Vw;s- zr)QIcD+HR(XODm1o4FCgX^t48?jcTqRrbl0comV3gB=NJF{E{+c0AptDe~ADLulJ_ zBhbd98#!&G9l>5|2rNs0SL;C*b^Ti@_;*%`>mP;>N#8pWP;wXM0ec47WZf z!45nG58KO5Gd4VK+cZL2U{LE_U1yktwO!|y9_=pN<5f7ywp-X*fA{?4bIMz5%xZ`en^NAfkzI<%Gd>Lkwa!!bS zzSpd2yQ%m+hZ#M-g~%L0Wfo; zao5?8)=FQw%g4urv|Ga^pB{L<_PFGAwMx{16OBXON;;^F+Yz+lh0oS1;r#8%4;aTJ z3}|sJ?h+;C_xE4jz2l6y2DNg!?f=}!U(RQEYv%F2&VOjnbzJY`i~_Fwg6F(@t`{QSYE+F^>)lDWXad(AS}w>Smu4`~A3b)no@6{?-K03SmI(W$9`Xg& zfjD(wfN$We(Wp?-aW!O_>9`OgvBkUn0G<4B{EL;zsm)ho^Z0tX?p#wuEHw6zYc`4$hJd3@WHTDc^>r=v6| ztwPU4k)QT`9(GD&*-$Ft??mEH)gs*XmM{i+Y>t#T|82`Fb=M~ z^ONip1EZLM4Y)|T)9c?nMqibcEf&`PD%O|cfVlRH)~mmCEGCyBG`d6Hn@HGz0DER1d* zOnz9@H&ooeAD_;ES$A2yz3N4rgcIn!W6vrF-S9QQenPe4%FYXfD!0P@>vh(6n=21a zDn<|D-in=$RfZXl54UZyeV%+$nF=#PZVOaS>mSjzdZU^TGLuFxtWF(2@T7FE><;pw zndIW@p~L*>-CPLwk~g!maUE`xI(@>LD4TcF+4Cf0cc=dI*+PLpl;oqYlbWYK&;NYg zb=&t|?S+t?C(*((zI5^JPKKlttuc}(ut9X5EWvkqP z{qT4i#Gh9}a)y(gvfbr>qYNCQ;DnsZi(}o?H8oDso7_H}$U}+P#r4L>Ma*T@Gsp$Q z-`efQuCYKL9$L!FBJt;k#S62mm$LNqm+5B9N9moJWIpU_b&5+W0_R2pd;=@|7I9u% zn!I1+V{5LT3Ag>ka5Ve+V4XZt6cdNMudk7A`AbIT|{+ z!T=@yZih5$HU)yy1%CG(oZuC;1?&){i6a>tzD zT$#B5GN#EtORL*Zn4PX|dd*H1TqY(7YFQ_FN})l2I@i8RBYe^dE)J(zz`hHp60?;+ zy}sm?;k&Teb8om;Vy#9;{z%yk&LEzzx}hF9un>?3RNdL;Dm zx$rKT$2WD@Pw0Pw$CT^XDiRp*J_Reb5cBSTCA_8Xf4s{pA|b)TLB=0S0=^@J{q=&i z)hkNNH-C#1o7%@D89v;*G`eW$(}!~ivY%KiK2O?NTc7cR`NO`f`V5F&58BE)p|%_Z z$tR1?Do***F5`MwuMRG|f88!(x6Qbh=cu}s&z)zXkJBTLwPL9J#3+WKisO`1yxJF0 z-d2G@T}LT^8WhIr^$#ABfdb8c)=AXRsk9lSqllHFoMeOK9^D>)O`0-B5urxQ~06 zZ1R~XL{PMMyf%S+aKs%!d9+nBphF<@Bds zCEws|fW|Q#RthNo({H6~Ve_Wggynl4M(P$YceMAO)Ugfo;S(ojPn^YdosCO~3Qp?# z7Pu2sd&d7sU<*U7ExgF;e?I`yrpg7o^X&VNAKy>Q+Yv^Er)&xa=ZZojtN3N#lE?tp z_Ou}}B)W@$#Te5mRr+(}O<<;(d4G}t6mQhWc79Uz{aH_D;~T$;3_@Q{KxHr#SB2|I z=-6A^u#r2_z<)N;^eaOh%70nvyk+j~!i)4|FGphgq6Lah3p>>p4K|bJT7EUDNhI=p zX*(``c$1XQv(Qre9=HMUWHWpZ!2dyDhKLEw~*#FJLdeHrWhZJrN%CcibfgoPWcP_Z#DZK zBb0c4n-@mb3}HyjYL+~4YF|8vZR4NYFfDqj=~rKEGfOl9hgaO3KBb{mR}Tykl!eX- z0nUo@QVq8fpRg>N020*3D%)ob0xxY9znVYCG$-bXyYiTysZ7P^4Pz{@16poeFW;35 zUWs55YdR}B3FYJpx|K!ls_Ixr#DE>u7`zuX#o>N^1TcHya3Izte*7p6o&buR>Q$;c z*06I8fMs{fkJ|s4xDf;ms1N33@N&`bdO?wSPzskcyMh&p)K!_V@%`66Od?^F*`wsf zRuJjs2YjYUlJ1Nf+oJDOVd})f*`8G9V+7Uf;}I5N{K*H^Oo>_YW^56J*m!2D)W3(z z&Nzt#6(At%xHtZcWOJncoX>i(Gwgzz{%VABh+pGb?ua^x69}p0*bmk1n0WG+1@=VH zju*|4KLBTb%!WsTBoYO3G-J+LeBcj%@=R*vxdAJ|%Znyuh^+osSp}~0cWksI!DMtJ zFqYc}h;9T(+ zrpAul>yZy)w^g(o+hSc6I*?h=F@u-V|2ORRx>|}n8_$z)T>h}Yhz?&H&R>{K@E7L_{*Qx)+oha8%7gu%*343pp{zh)$naTnqM!xuHUBaq2)b373nu`=`VRpoF3aXnh)98PS)td4$ zGNC&X!jXZBC6wT@4=&hRukCR75(dw5@#ftbPh6&r1x{N611)K?|4R?R_$q$K`bdFY>zv5d=ST3OlGZ<&SVf@xtxDFZ7t6Pj~L ztKhlR_KZJ>%DIT$3r!9L*gYYAM;%fE=2FE(`LIZ$EANlsb*ngLUnSeUoQ?NB&*Zn^ zY!I%JV_p*em1v=uOn)zhKZQ>*4-<}rcU4QY$n#D?Qy1U$8;{U;J7*2fiTLY94@yw+ zi+fBS4C`%Yk;1K{r!gIklfKVqB8vuv^|6enLw~=G9vkU0TEXD{aH&7kHP_~uJV4yBk!q31B`bAD12ZeQmSIAtk!;>Yfg_XUcnM! z_HMYN;o>VY$zJEEzJR1u&DIqU8s?19Dnj!8SK{j*wjtl_8rfeA%QB>>o24RXq3=pg|4w*CRkupOTBpU z*TUN3Y+m>9a25o;EHSrLG==p#8=08}&)Q1XmVy*klV2snV_z1le2IEB_BlLYvk7AV z--TA({78Xd`^>~I1cX8+8^4_PhdBfZ1lvDS>I1zm09P=Li^Fv#BTLqHHe>1|^Z!wp z@aZxOky#sL#5@To&&u|sX$Eo4FZ|w{Gv&$_x~X@$Po$`2`&n#;EBzV#A3LV0TN*ny z_vlFncj5bAo;25=^M*a{$~n)O4)$cVRk$k@s{NFhLO;|GI%N+B=w4B`wC8eF@R+}9 zI)H$B-@*0^?~>%^o^#%FIqQ}le8T{MNMAk-^nVxa1z|f3?$)UJJ%$iU4vk8Vxsw78XlOz|51-y-rfqq&e|{dk$6j2 zUcD7xW#_5uW{VYr%^%9|w2IpnBahT^=;3KtuA<^F<-NrgC z@-yYRJ#*R5ix63bZpN=Q0r1V_WS{h{o^`Tpb4KyDL){6xC{`lIPhqA2FMeUE9$D6{gqDRXr;{Fj})_r?9b~b{bi4{se{w zEU$I}-Cc12+JKL+rP+WjojoCljI1tvtdMHvVFIcvK2vWFFGhlX!Jtg0>)NjVj>voS zJGtKB$yD}{&(|}dM^%&kylmu6{JUch6x9|){<6ee`?SBeh z6yZ5-&Op`wZDaEBkCe~2Q8) zP+Ji#jS@}j&h~MK8%c|3w8AU4hZ~GQ23Q*O$afiZq%OAy-?~x2?JNEa@<*o^XbBf$ zCzU1*!#lH9y&G_Qx4zH!JbSequ!lRZL^(11g8HI+v0*ET=?`Tufh_WOapaB?3jilRalsS$ER zr(fELA+y`6BHzjDRjfxD0aN4)@re&n#3T7?CrcY5^X&qX&P_&5U{pxlKijSMZjTu^ zt(uri-GGlT;79=C%f)R3Fc?P`l-`bbV(--cXwsU z?u}BbPa5ZWKfc3n??$doUiJ9K8XC~854rzQd&P`Eb}6q!Qb2k8)>*R={bRHRHR`pE zx=ONgi%aVC4mpFqDMY3WWy1|+=f^Xi)Dl%;H56zcew9L*{kom~X8b{6GQ2D&zEEZz;T0O|LrOVTsv zj2+eQRO*^$9lU=nzc&Z&JzgLKFWI_0Dhmg(hos>eTeFQx%MWVz9T1$l`@21dfokhY zd={$`P5@10#_?W(6vl)(l6&)!JqUZZZ+f7e-8HQD6p+2U#E4x~9m*AGI9|ej@ThA1 z?i_{BTP@ix3qst_->P1{o;>T$l@Ax}2R<2KTRwS-zi`P*y{v~9CKwC{o_236UuaY@ z;em3eds9tAwscMX|Mnk)o3b}+r9Te`_p;3f`edNQF990)C8%aZ0`8wEVoys>JE!j) zYD(c~xZF50Q2%A_u!~mr1?qr)$7eRujn}D#nv&g3uW3WNsS}WCpFxoV^;-Y=>-VJA zyKv7Op}r?_1%PjbJdjktEv(U;=+2809WdgZ#2|QVAM*$fySq=o z&TfihY+1`^hj4*dW2$#Hl-M*!HNF_n8n2*yF7P8+R}9>p4org{4F9*ukG1A~h#vB| zETdY2(w+h7-Bg%DK#gI;wie)Cy*Cha5awFr)WqwfPRxL?hJO~uxpP-Nu7E(f>CwE- z+3lf_0OYUF6HeP#GgczcB>)B-!H^6Md4E{?cf0V@wy{_?Dx3sz&eJ#`^6_nJquF((3u}2IB1KVyo>4-h zRmQa9`bZD3R!=r2AEm0(b3efv5n03(*SqP3w}ubOR$?xR&Y<-B^gJpM7BBl{(!kFL3))i;bUZ;@N|+WTUVUsLvzL@-d?VlZQsQwVbkr^X zAPm;@v1C5!TrUpgnsKnlO04(mZ-7D$5vr~kU?j*ujf>4q7O1YiW2W|VyKtyO_G3-H z0)=Nkvk4T%j~3fo)Pakp478FP@0KJ{knogEnZBg$^O%NIF@+M;j_gOS=5Fx`>cwO! zC@A_@{A3=edmss#k*8qtPBmUSY*K*%$;f*WOmuxHxg?lwp4oAI7^<2((l)~Ev61Ri z5M^De;_wM8eCtZgW2u&Ew{mN92Dq$C`x+;Tao*`J^=$I0w(&# zq&{F?^)PRAnM(1e)XY*l3g1jPhJeZay8b;|>2U$xOK*SyjhiUOOH zP(7U?HmSX%`+MT?1M${+KQF)2AE}eTau6v0$<%w*0}#1Dg?m1JG|JH<#t)7QKb*O{ z*6ifqRVhJ%N0GF90mIas$iXdF4PDanE7?1LR?z+%_XJ zSP18Zt|P5Zrfp}cF6)F*936c@rA zt=dKm#hAf%*V|23^D23Zr2v6(Nvw9V&}vq?=Lda!?%}R)OfoQmG+D6&%pY6QgM%x$ z(GN{3;pk9FJKwh8K|Zc~fi1q}ju{?R=OJdEJ*lZZGv$x^=$#3mSVEX(f4NJBIeEd; zZ7zPo`O=vX`^4@aLs0eDsNmhRyqTtV|cMsBhBY8ERyx&vl zvp23?cX4$3k8UnX!46><8B7g1F)%NR_{>(p{86)>p&fnviW}`0pu+XL(`~g;6|AJg zD3APac*Pwd-o~CNS6Ek*e_B}=k79o>-@@{|S6VedjC_Jd6nkT{tdCAquFWI0Urxb zV5+8*{3qB8H<&C|{-~0haNgZ_m?^MdSUFgzorpq52g9G_;%3%>!Vwr;7xc7n?^4^9 zaV>zB9{IDY4E6fB*n~$^)p!&*jvaZN?$!BjSq9I1H&A7KmWQ!r>kudX>|e2s0F`3y z5UQz$+u@x9jW#*v$sIUPC~*y<9qV|f((r+63$BfLhZj@oC|KfM&V8LqaFn1sj6Ymr4bJOQ23=iR3@tM`iJi#Z}ahJ z^p;i+M}&0waTzT*xQN8BKm!%o7e%73J%mUGk4rcytb8i=rG;6x1tr5JW^>A7`_+vK z5i~~|D?NX*H<&DQAfWaU1g8h;D(jH0B?LIHOz~}xm-DaQ$L$p8f&}{Z1QdHs00NY# zd{i+6y`9&^dD)~!@7!^am*WBEoF5Xv@(XpHzAAK9j`(_Jf6P|++9Gc%HFtF<;7n(x(7*hq}StP-CRlhk$S(WVgB6uH{tQgD5lwQ2VKDHYO*k+bWAp3kf^ zOiq_{E9*d4$l>ZlP2$82vxV~=?GDhN>&-`0oQIn`IFDWCe+79tj8 z59=^h`nO15JD)7^jm7np!@Syr?XC6-o+wwE7pg+^ zryA>=Bl?fMduXD|?bw}Pt-c4;W&ki1YQ-QZ)x`RcGL5E-m|;fJ zh!*8oN0MK;{Fh@L56{28gU$I%$tgvuzmSDa^KI!5&V3Q&UqQJi6=gvSSE&&h9=y_a zm~knRJyA?^EkrhDYVFJyy*=4~$caHDqhXzc;x)b~V4gE9V z$>W)%m~{&7%F79aLO+1XR{Z4pi|Zbt5nHg^L*XhPZc-eN{H!*zx~O|K&-wB&2`Sb~C0N7~Ep$Si_$NyTCC4(mEpgQEr9CWs6sPM{-=vc8 zb}}0_Ldbj6@R=@aC?^7t zwXPD>;+Fxd!_|CpHuQ?<49Q-msC#ZXSi?ZaCBI9;Ry5yBql~h-lW-%XsniQCZc5&n zU6c;V>+i#TPZEw^q_QF$>5KOOFH<{C=-T538Z&Tt&%ljTV}Hv)nAYxTFoKfsyurnT zS8YORmnW|v(=g+{>cj>{Kd9#G_}7e4H>!4QnZ&p7onHyW`mj;-GwrBS^K#zhFh=YU z+t<9DdpRuEa;eehHg^lNbg@CHTwyAWa>wuHLU-^I%Q=H0(ce`v@3n^C$_g@K4lzqF zDE!av00DXR%q>bV^*<_%CZ)BttE{Iv>kKDT=}jy+(OnG5q(lqu{0si-9{;WXEmATX zO^W~(BzrW1AU?0Q@}h!UnlD^cBjjoE@L_#F5u|CEp9ePdNhj3>8D07siX2=4`%++82s7a^>z??5UdNFl20Sl~ym zwYXU|{U4K$HKOfJ(zSI-sBL%Gpe;iv?5|>oAjE{`tKIYHFbx`&c{8e2CoKG+GQty^ zU|tHN!zKTotu=i>cABTa4SeByf(K%S*mhi|<9A#slrsV4B~cB+EdC>9g#F7w$(_n~ zL#*@GP-8rkeSkas8Rv1J|KG@v>B$zrg2Sqh4Bja;hn)Nqb)}j%w^EXq_gWtyM^C4zhGmi#>h&($rryKTxZt3ws+^84)UZL8d-SjN(xds zziN}s*PABhpEQ|>kU|6QP(3%g^>}Ay5KpXORRM}5_a8t8CEPmugb^?=rE~t^2?XWq z?T-{%%BKORwZYMmE)}q;uy8sj7{a3>>0=-Q(}PZ*L-Vy*dRKDs->%EF-<3&sedpwW z^_YSI=AVhNm4QP>=*KSFqMZX`mFn!FPcEDTyifECsl5eI9}FJumA3T&&n?%Vjmojy z(gKLAI->_^OKq;d-<>eNEE%!%JLkzLGxHZ5mV<_Oii(%EuH6hLHU4xp*efd3NNv_6 zmWuHzpn9(f5^KAI<8c!#QIQAA{P~-DLNi7};Jr%x-@D#h`xrL=X@9An{eu@5T?f5E zFy9{!!Ztp>x&u%FUO^4m8^NLZCHHOZ6P`g@7GH^tn95`(T!Scy#krqD7@XgaQSZ|YW;Jy^+X@pQvTryewoE4*FVcdSx5$w^+G zvU8GVHoDW%vJ$9R+|P*UxB1^T-Ou?OalbXm;XdtWh-CT8{s-!5m&Y zTJX~>>cik%FNm+yiv0x8&ARu9ODiP>n|1#qs0kWlvY^wLs@WZHm=P+ktkvag3%H7D zn+etOS_D79(l+Huz=Q1fy!aJ*+JE#o&hAt+8isCa8>jN4*&gJ=Tip?xJ6oFwC!D`o zZ}F{%hg~$5Y85vhWNMKL-+d%0<=Sg(t(iKq>K|04iJ$W*eBo;Y1innjD!yFp9fFt% zW#XHtQn#Wt91XLx!22HKZLJP*U!RzgsO+p>NOSXQQkQ}^zK%R@IX?uFT^nSZ%2*bf zX6bb6ekc_jT2_$Rd{*|8tm3gK^d^$3Bk?pEjRwpW3TU-TiQa!C0oTqm=iJ4AKhx5) zz=oH@1z~qfkTu&grTfYUUGKeay70c5^yHjJlON?NP4ZYFcPXxJ2Pjl)(rs@B;lc>L z4<%YEaZmimzP|!o7*Sw)NXHpgDzQBAS%Y4Wl$WfOxPTUuN8mTIxUN{q3clCL(iW|M zpVK6@>x);C_AX~bCm&=zrxhR)OB5D|PS^lujiB%GxO%GxMnFTG9ObP{N}G$^$p;Q~ zRG{>{B=WKMU=|c~Pw&6W)@pLfcEX9>pyT5QLBW8Nk!=aCI%|7Ttv#c~*sS~l&(IXr zz_8Ed_Z|sndFKwR(6MrwM3nO~>nw8p21x_vTQ#?V_*#*@2XGj)l|<3(%rc=icZV=6 z!>LM=W2~y$Jy@rfG_lc7*395RLZ;N<6<-u>w-Vy+=uU61o;HdH&0h|eZLQ$iYBj#9 zpQ)|N%u;%LYVN#2=M&-HpC_FU3(ka6Wa0K1xz?N=aDuXV0$yTNg_J4-$GsLbGN*Hglbx^=pD!LdkpOU^2l9(F*C$6iJTb_r^HPjWLN6;| z5D@2p6wF+3o!_V6I^1Rgh(94L3~za=u8<}!9e+a{#A9H^hgi)>TSZKeGYh!vv4lH-i5fTl;@*=cH2R zQh9ws-sri7i6L%KAH!sn6%b<|bl)je=4}=Lf5#rU3(Wr2x<@3^;7wEU`0ygO(_R!z zE~dd)kur_bZq+$-a+e|nrb^@+@G2}k6s99sjVxxA1ueYvavzA_)=~o$O1-i==xur0 zW|!lCRD-I@(xt%Ml~(-mlL{>?ncJuDd4I$l)FHh~Nj7Fm@%TD5{QQsQ@k6T?*J$4S5^HCPu)bUJoTne5|?pm48kqmzZT zpMExE>^b(NtL&uKLFwP;Ju#dm9m#>3)Rjol zM$3l__NEOR0_Kdu)0n|eeTSiNA;Qq^Y_?JGOR-)cNA!pqNnJ&uP?6bt=%0Y@ zam`A-uH=XDl2jY3XEj&v{Fqs%X)nmBoSAE`wxk~48FZgYUgJa?t%SUk{dw{fV6J#l zH<6Zy2~o{ioGHzL4ECdp97xEALrDNI46%mdgg-QuBl1=q5cUb-#eaWn6Ai%3yqmL4 z2e!`-`!g!bk2~mdB2T+PcvI6SR`ZYp$ZMx`}l=Ml7_5wUEOF^S~h+fuExYt8LylHSKFh~V2@n--+ zpwJrH|I_iIj=Dlu>jp$7|KN!6muhtr{&w&8Qep>7boj*jXApN?b!&8swAD)tel;9x zYQG^bJ87fDy-zO}r5Za%H-P@fs{W$32k{)k&TvDs{aL~HqZ$2;@?-rgu!SkDoRj)ce%0}m=oYW$1vyGT{L_4ZA`y3jRcu6xn5lz!#?JOkxyp;IsEj#4i z7GvZL+KN-p;_B|Pk5WBVXS`m39OjekWnu~6MqE2DOCxE?3VsdYQlVOFpn-HQ*n-Ew5Ebh91MQ@}P z2oWQWT?L%k5g_C9N_nB$JQmQ1r5_y<>tOBby(jgweY;l$I1J(FXObuPxliTsUDzR) zj?tT1BM{hhHy(O_C9}mvb8rz9&e#i}Wr7;%&OvaUyJ|e3=0H+QUbjBJ7V%cHkn&*g z&T$DB(R?K>QUqoxQOyeGi_RMP84twl7FIfiRO5Fh4XteL(UEdmq~%E`NxB)+wLC#A zTy90QrFo*MW5VzTTQ;~&T-DU42Ru@9 zcecElQjbsk&u({a`F1%0R2FNwbyMl4uH3wj%-rUrWWlsgsOqYEX`QqzcmjGLvQuQK za`ywzW(B#@gH8ahdI^^5=y;30WJW?sB?m@d*$CtcczNV~^bv2EEU%$2g_YS-D^ci} z(NyzH8f1AoD^8ir$yps3J?r$S2y2G(sd^3W3F;s>tB|Jj$s4<;OeW|ezZbvvXG1%F zt_kUTp`rf5dC}lQajQI6x2dSHEGM+iQ}2;6S;rc(#7Gr_g8k%diyd1D<4rI=3`$-P zY8Q5o(2|pVYA4=`IDe=_DjpK_&=bq1y%R6&s8}7wl><}Dj4LmMIuJ#fu0Fg2JEdFa z&TaeI_@MHyf!g$*6fy_uCOT888*SZ(1Ei5luT|q;-EsRb2uvwNlF!otGh7oZuhOLACgZF)oj$Um?*>D&qI9|YKJuobDQOTWmf0}=6 zNfwR?RM+pisGZ+CdUjpM1y|VqC)axHcEWl840uddxqXJ&xy+Uc5q)s6`RWOu|IxVj zFRuQ|81;{8< zW-ro8?4OgD+cOewoK8Q1h~rPPxTqpJ?kU?p{|Ix2DDa{p3(~#;mfU)Pq|hPZfnf4q zempB1s)qr*SH{u5%5-XSYg7AMAK#d4dh`?Fw(LpOEsv_7ys443wD6v>0nqNmGbv~Q5!u*ya^O4_sH8- zl?9g?#+P`!z?hl^bF}>yo#Gk^DcA&CCWtx5sc8=_1zP6QcW@}?RD3bJ`M=CE-1d5^cpT#8`EUIPGe2GIs$S3sp_|gF+@p=3r~&jsQBnirPH7p# z4BA7~aB=~Rm14Ylei*k2-1I-Co`_hF$h;Z%rhG#xX3xK?^w))w8ObZ*@2s+XbzIYy zEGn|BGbGo!!95!b8-&d~|AckpyPm7??*uEa!$2u`n;^fJ*j9tK+ zR>zh*)5PmzGM%HJWwakGEq)0|*dYN^>nAEqX=^epo?C zI_s=o$~G8b!0bqnH}*Ff1I6)=YUr_x{Efx?PL6jJ8=D=foL?sh)89=4R<@L|Twlr- z5OF&CBOZ_S4aF(b2pJb2Po!|rHZpWe$T+I2K|LGg7Cf5eIW-B%DEHSOWA(w=sO}r7 zm?w5h-Ny-#mHP*jY2gP{#{gf#X0nRd-4ZFiLp6wN(!m_Nmg}qkd|a+?6=ulHyX_t4V)nTgv{j(O~E#)WJf;AoU07Z9WdtDiQ6tZ5wEdR-mWM~lxv-wfdM|5U@5}BP>;)X+va#Bub zLW6-I&za3SBa%DXvb6-O5xVo?%$>K@p1eoqW9aOmalfAB`@=U<89tv>v0lgRXL&|s zh%OBur)-mNk>9P$SZj!$>s2B5RzAHrH*`JaLe>2gxy-TFgH*twd*elxsTEhfosDj3Chz2jzC>Be5z%Z=cz4&MlYepyApg9w@tp;rNG zj?-k*RE|A-bqyw zMU5aQp$_|_3lQRYQ)-Eyp>1>zgH_PTY) zra|eZL-!}*d?RIEu}id3O%fH9Y1=O0g-Uou>~EyfpHL|{kLp{T*Z}JvJm0e=hIFb1 zO+;XgV>K!C00hB6PeFP?r|KhxLA<}`9FTzoN|x~?7eV<_A2AA0FXL;rmiV(8v?pmY z@B|UZoYH?n#$*GkD;2%4_h)|tSHU6y59DG&z}@e6h8f|?~w!;cBux451=8Gl09GFZe4EPQuwOqHfs21nHBvaBiR?oz_1p9@#% zx3oKdN>u3>O&VBCJG*0AIaos`;ExCb60h#qy~iwYPapN-hIBiCuU?1rX3$Ql*gOG* zZGHUXl}^YAD-19Ih8&#!-Yt96?zi+IzWR&sAyDi=!4f=ydVD{J|aR+!a= z;Q{#mMT>aJq8|VUbavOviByqZoEvxU94a!wjfa`7%aNJJoO8M_^>5qCQI`{(U`aSH z6FmJZMsBK+QcSdqC;6gsthr#H@HmVhHR3q@H@~cUj=o8}h=H8+O8Pf$*~bH&a0;Nl zRF^L0I1!M}x^ruDB?X80;&oF{ z){~@ql~tF->#2LIyC)$(m9t(dug5^#Tu;9DBi;JdSt+3F9j6!Sjs5%_#pt}Ky~Hz8 z&l}zi|DJtIyaJel0yjP0bO&q7-dwtDs9VE&sv>n$T&$S&u1g}G#oQNtrC$oT!PPIa zv@79uWJ_7hZ-S}qd&b91kFS~Ck39A)+;hjbx;^)Yxo~G`LPp zw+@K58}|U`0Fi1t)?sc=6N^8vHs6h0aaqTiHj!?b-WNVAUCVf#w4ysV6K=WXS-FIm z9vyetmS-%y#+XF6-2Zx#@Gl~(oCH4qjK-N9y%9Q-vtC5o^p#;q_WQ`{lZLuL;IA8j zFOGlGGwopA^&I>ss#gRXtKLtC)MCXF=<> z5vlZ5F{g69#K%O{u?9)d$QgJwGnd?@L_(KJKD+&2eG1czvf7vWdh86co8YApx}lq( zOdqNu$9nh7HHd?|?@x$fvjakZOul*&83IW}40`&cEQw)Pp^j-Gn%=(nUKJ;YbS0b~ zWH`%n^~+7X)?C21Qzh5{Z%al0r}6GFRCWoFCwK~`vjpkX^=xI1!}@I&e|(@7r~j|% zgR)g$N3jd#m)fm@UKi>V5}*j~^AgBm0n_oLvD}M@hvp(5#J7Iq4w^dgkI9AG zq9`_ZH)lM@u%)4AQpqi;BIbsiG7Vi`6gU|?1!D|UTIE38l8~@FS>-k30bZXBR^(px zdfg1W^Z$=g<4pPbx7Mqj|3d%K?{@yRLu6eX{NIixjp}`S{mQlDqo>J;FBfa-Wv-`| zeHr(hJUyId?v*k(=ve~UEhwxnN%rhlAq00T?)}r&5^~JwX8CvrPT~0_toJn6H>t*7 zYKD-#-y_05HpM%_ind_<4c12C)b$|h>fa5*q86shktT;muRJhu_xN@?@UU!%?Apt0 z&-Yg{#J>p(JE5O?e2djE`QA+zmPjZN()3ssQ?K#0feC*4|jX~GuAYvU@4>IN)KEslUR69I=Y3g za$Wu-fXLqL{?qpOo8E-~`-V$?o(=89YPwnFYP&nVomk0xBa9YsHgzj_YDSali4A$( zlgP<(d}EHZOY~x2efcQw$t2oS7$B%G`eba<=XeS)l+7*IFJ@bG3%^%j_!gMb`1dcm zE6K)(Mw#Zfw2H8vUpS`yN?5Urb*(|};f--gqV(0r2hohnq^`<89HQ@+saB45D_4P@ zL({c=01LP_Ot}i{Dk_9a=rDzezve1z2zyFw*WBzMkIlo(>ylKqm zhZ5ZxcKk#&UW3D{h5@fVgPuSnDDB9}Pmy_!0oH&wsxY$4+(xI2wmH0;V4i@h&}z^p zS#<;QMR#(E#)W{s5oR_XFrVKAR;W1UBlY`$+>$o8tBz|fmHOh>-3Le8{EoH}6}%MS z7IplOKt?`+3qCk(u=0@}8y{v2InAyFWYs5jCu0+DmvdVU5C8Ro58oR~U19cJ_4@b1 ze7fdj`Jkt-KDod&bt{cLR~9o7q~okNJG5NbeUZ>+^%TaODLOLTh1ARbQ^`Li2Ea-)A8r?{mN35pzf{=l># zHu)9zEw|y7o|{wKNwDxYHd(=?ed2U5-%E4tytu)E#-} z>IW$n19_lnSyBhAp>Xf`Ea{`!(8kM{-o+tDTfhZzEnFDr#Vx;n83AV%BLNQbHX57dp)p!iS+{T#jZouQY|HaEkZ&~ME;(v(t8mzN&>ubqL<3^6ahK6qpKy>NCwk#bglz|s(? zT8}o9VO~3O6HiBG2hd(ecf4|Tw#@Igny^nr-7*GBNwEnMHf_*jfZ654cqY9OS3l{SgGXyG6U7HqF=eaQY|d9NHfBRZgX|IL=o`zU zi$lju!F4;!>mL2bh8H)vI3S#xd#t0GbuM9L4S`)caWu>6A0kYa1=ceQXPXL(+~ZSJoUR^2_KV$@WsiUr1rCQ{|; zrrHeCR7?;U+zm|JFHaAvwgu*^AF(`cT!9?#xU3z?dku5dsxJLA-J~4N7Xdso?o@sY zi%K3Kakz5QTJuHq5m{#(TnwzfBrs~Ai2WR$s;O~b-j^5no99wVej;K9usn5hQvH~I z&vtd>_Mm5z_Mqq1cO9ukN%`MqUuEtJF?*k$huIHJx^r_SO#6@|Xb}DUbIh@^gzm3V ztGkRoD@Y?{M%puvxd|#`OyA#Z0AG!t1^{R268JQ}>4k(K0k!ebBiVbiUNPzIY!tS0-0XPWpt zp}_o!bK~eoPwaE-HI{<)PT#5PqTJr?9{R_W13=Zl@4q3OeMYJM?fO+OIXzx?W;|QV%*tqj>)wL?mxzKi7TTXr;+!CtoB5=9dv@OTNnza0M}c*E9BCHVBI|hze7ZXO zyzJ-g7B{!=hyKxf8bprTUC2;2b-OFG1FOtyeX4hLl8E3nG#^|O0TxJ2xc5c5IRq+d zePJ;_55g;BZb~ui5NNv*R)95h@^4PInRQR6^Ts7Pr+ps)0b{O8g)~5?*eH^4;5xEo zu|z&FSTN7Ra`z8ORl5KaTSM@CVF{%mFEwsirk#bKg1ZLHnNlhiLG-Df3ckVf2CEL` zfO0%nJyY@hFV{X{y0R&4XZfxdsW@0WhV5@#SX=%Y!VbxZ59<#ekM&h#H#z&0m->i7 ziXPQr4}@t58F-Y>egg8(#W476@C2! z`M2Bvyx*SvceTqrFHsu0mr#QH1?N55&oPwF`ng@+JgMetQTpppz8}xf*FBzKDLGT$ zd9JWBDXO>1xbxAVZAbNg_|kv$S|3gWdF7obFk#tr$CVx(Pu%~|02qJ!PlqQLIvf8V z&vjox*V9|aoHUX~R!?D(jDY!Tz+b)F3o;J0Zf~F{+9X_^a<4pmIit12*>Zw?bgNqIZ!SmTt^ zyI)~+@sChI=uc8P05HfY(cajiTZMo*dZf!!2R!OcK?s4E02fr>*7kKvbEYHk?h$Op;F3Lq3mND zV;f6ZrtC_hY#Gd0vc-t(gArpZA;!K8V?v81%uvcmV|njTzxVm0J|E9K&vWm&=bU?% z?>RSW5t|={kxuR(q5#{s)0js&*eF&Y!{e3+KE!X)ldoSHK$FH#U0B^*DOxfT8FiNg z{rNBwG40c@CSUk8MME6TQ15t%3zD&vXS|Syr0FJlA+TeGMw)HTR9CFVe1NB%BHsS~ zo*0jX+(}n>jVlbC02vo6;C)z9RzOuo$Uv{JL7Zn5$V=Yqy3GkXdEz+syguYKaxD3m zjlJ(KgNHXz-fQdrgl_NJl>!O4x}mE_jkSkDtQdaUsm|I@(K;kl)v$KGlNSag+lMwD1`C7;kE`xd)M~f>Y08t(w0V{esm)wo~`pYBo}IMqGUoL&ZL3@!d_+nfUZ@** zE;8~5u~b51++lKQPu<<%JL&eo3JtM;u`1s)Yu0ZXJv2#@hzox5Qc(MqOv9q~Umm}6 zV$P5FEaNB>f<0Djunzd+8V^4D`gM$PDpRp@FFO{C3w4Rl6{DrR*MZX>c#RdngwU$! z%2ZkI=?|Ez{=L@{Ar{@@M6sVbq_PZMF5dDHd%N<(94V(}F4>1E?4n)B@90~Vm$*ZZ zs~>qtqg6vxIKEO^8aeTr?=J4qZEJqa`S7jMca1AJspr-Fqml9+tn?Fm1M79m=`?x` zVfVpVt?QQWn{3h2${k(u;iop2qzj%lQevieY619&n@X9O9>N$LuDQuiQ!EfiO$B6Tf5k>DnQN3(3>$W!tts zQc1_qerRbE^qY7SV2a~B{^#RE;dA%z2Rjn53)5z^RXj~P2v^D6GV<{hh-KLV;pj4< zvPPj&3i-~Zs}z8KqeyqSfDWsX#>GqEg!n0ba))QqILhF70jI~xk`CtKFF6h~i_~R( z_jC7mPdDeM2QaestpHD)F*<8D`?G@V7*ySl(uZ;vde!oME@%X>A@K~}OU~Et7RE&M z9AKjJ%6wXiUeyXh=3AF8RpnKW`&M@>mK5pYK%~(OD0k@Uz?h>Z)p!Bf5PDv*W4TJ- z3&lCh6K8AI;fY#@l5;obTO)&r7b-bm#^+bwew)8Ic&SOfxc5?U z2rWiML0Jp#j)$22$BkG##9e4`bVPHCP>lgUM5-RrnfU19aggA6eMGk|-9IIV z`hrO=)TMKpfTjjLA$Z7q+A25==d1?7Da>|UaV@z@mh?1`u)L80JO8@hQ57})wJ6#X zL0FZQ>BOUh#$cvd2JBe(Ho`|yLT(54t&ht7vuqy;`@ScSJ`6hXh`RB^p*>cHbp-5+ zku8}(_qV5NQ)aFH@Gjk_+*g%EgeLUD!sL*ihn%Av^P@x%#V4nY(Y416N-Vep)VT~% zAl|IRsMup)`-afgY#dCwxg4bc6?mY1Qs5Iy_`HDn-Li+Ote3wwryYn>5IH4>zud{j zQ4?hT*evyP@-VeCdI+5-|D+$Vv;NXs5LQkAc=@Hk>rLkirZ#FPYsR}`+GW*S^mFk8 zyu3FFwxRyutYyo3o2|RKig)V1{Hi$C)<@xU@NG3HHP_;C^Bo5G+0e{`#HldSC&NAX zpkq&{A~;P42R1u$T;+H^9+B8ZgUTFur~Ib_In1<9`5`6Pk!d6%7+UB+oReDyfli?pma)4e77=MKyIz&Q2*QWe?4-QMyQXCRElgHu5f{t1pVzhA1uXgf96Ew97{d zAF4Cu_$xE$&yvcTN;SymRiQOOP6g&*S;hJ)#7H6Bl`1Q9J1Z69>N|44tX+EJYfRzD zarrv$N0q(_P@<5lH`&E#I>inH9d#v=0DIU~Bj8xyv1MMl@h)%#6)833K&p-H9$)rWE!b z(ZMepY2It~r{gn0I97em0Bwn;=zv6e8i*djuJ*{5e(0dP9^N|Zl|P3Pl9BGDvqsCN z8Jx$KOJB3DisCR$i@VSAvg1jfH3!>sy?sA0qq}mISx>dSeKYEFVlTdIH_aM&y1R0Z zhM<%+t;j5tKSn%(biUcSk=a@Pb@u~katJ?3%%JjDf}_1rXj6t_%h|KA!!TFj&@6<7 zQm18Ys{EmfqeO`!g_H06?mPkg!(dvoD;dT2jtHyP1N+48fvc~X%Y#DyT(LM}sqtWY zuu64f3-dFos>Ng=eI24Im8)|Pl_2rP4*Qss$^xN3H6BTFCbl&Qn|j5xL`}#Wh}_9 zwRMiFmAtabX_R$uphWu}Z70l;JNN__B@5uaTpyO5;4$@yJEN?EPe_UcJY`m3EoSD?!=)y#DmP!ygj0=ra1gGSODpW77+1=14Nnj1Qdg1usEVbJ z4u&N>m2z(`ggoaDt56muUW@|pClCg@eOU1fg@#ClXcc#hQys`Lb&xkD5W!L@D=itP zhET$}_9FUugU^a|?*^GyDq{l`z4Le8DCjPvU2~$cY%2q)ISrB6!%Q;=x9yW{&}+0< z;74x>G{MRcc>l2o?NTMvsV|++(&v`nYsgGAi8cW{QMMz}4E4eYU>T`DlZC#~y&wKOBFl{SGpzOwDKa>1 zI$PIiQ1*DuS+n$pem#EECz+dW#a$Sx$Z8aTHfWzM(h1G3;v6nn#ZB zERLJiDyz$~I$&9|@GZb9GwybtO}MLyQhe7KXTfCvbTu6a>{rFh)iZrM^wmUmSUiyS zQYIc4aMfW=X^!_t_`TtV@I>V)Y?0xNAr`ha{ufdKj!u8X2eZtQR_Yk=C6vorXd$~2 z*_$^`_N3{xh_mf}6{SHeXkVd%)>8^}A2xh1^VP1q`@8wbA*kP9BepotN18vrlk@=> z@pUZtn$0Xh4<{jT|H){`xhkzTC%iNtY$Hkm)B~z9y5@|~D{VsVR-P96IL{9g8eiad zlDK5~bzG^Akaf)$`LI?b(3W{JUR8Z?3=&+qkXP?NAHdg-iI@vN)^_2w)C+)Ti9g-? zja6(U3WW9Z(vn&-(|Gu&ZbmB{eS1Wn?Vv~g!^tuY)8h!CM0c-|2oDN&{C(!vf~A@p z>EqdpYpBDX>K!3N6d=cAgI_9rjyLq6ss;NF0T<9hcL_H6?Hy$|6A!O)hmEriDVlpD zRd!g^3ZRa@IJJO;`_Pypdx;@#ejW+3G5$_Sj4Rqzi9}Z!SBMr};D>Ek$kP2fP|@K( z-Zj^|m%~}!!>FAF{hCf30A>j?jJI@xZSDE-CAQpFD&SxMQzJwOB6Ymfts(ft+Yrw4 z4-c3U*ed(YCJYXSX8uwaiu~Zu(Yl!X_)`O0wAjyI-3mSeM^jO0FezrI)J=gjjn=PS z{BHvVe!Fvz&*sj((4y1o8NDt6hR5grz8KlqdE>;s{IguA>U@{OuLqYVumPBZasuf% zaiX(4{7-oaM78Gk!wuRIDKA=KT7_8NnVE?L5SgvD+tV z+}Ff`k6|Of=nn#@*)lcvpY=8yy(sHL+N?hOOF*mb#z!%-Oko<${IIjtVOy2H`GoFk zhOVBf5C}Gqf5Sxq1SG^r{Z{&=51Qh|^ao|D?}oY|F_keZ?AR9{#las!scZ^RWCU~D zXjr{_t*x2L{u8`#=_G2AyT9SPRm*c*l20q~p?YJi2BtK2Q$s zTL$wEzzet?N!x?!V~diB23_9e9OxCZ&LcP970}a${fF$&#??-y(CD^sf*HR@?VCG6 zaWa@el+Asz8m9~BrJG-xNq8mWdy9!_bmT#z0oVvSFj$HkS*n($d}wx0O?zyK2ZtH-)Hv|Jpddwz>FBprJw37Uqh!d~a(aYm#W-TsG)}m3}F0 zmmSum+|iaJ_vS=m=k=89bXUdb)ji4wnigE`RP=e!pZ1THRV07u3$TWXp@L7yV=3PFMy`ZER-gae^=HG&IDWHh zq*M!0$R3mcGN^qUay5I!e(bYP`T@(l%>@872(k$(mChXrcF15+V&rH{PnAA+0o(y5 zCRCNI1tS+gYRgqhEB=u!9L>*O+d#aV;HcIz{UcDyUkSw1LJ%T`wZ3Ah@nSxVqE^@2 z7Q)D`k<+YB{ZeecBFEUCK$?ZlBCO#7@5k6$(|B_oR#}FB_jZNEap56h8xz9Isl)5i z3y0R~S2BMPNo4P-F}=*!Jo!?VCh+EO2iZ#wnn)>?>8M~GjLZ)o)FIf*T-4%Fv#TkS z!IeNfE6C(vgHEMYWzO&Zzn-oPLOv~&;G{JqHTh8qqP-aLF5{SYQ5 zIcBBlfpjo@48yHd!eFX9RMNfg8;W$8PEi=H=7$Qr)N(f!wl+^h0yI$~Wur?pa22b= zK(PoJI-Tm+_spOC@ScaxiN}%5tE0Up0w1Mv9-4wqz0WjiT%qyz_ZO^FsIx~!05;m0 zt84i|#YP*-@M7Q6#!6W$J>J^Txh`n3+m{5+jZvOzAp>XThKXkFh&S7nKyXNbUuf!}K<`5|f#aD;rr2W)}$A1;Q3mB)^kjcd}zWTmXkR>lM?-LnEa zJTpv&@4Y6zy}jmEDKmnL?tO6268X!P zPoEwb79)VXnn!8p+O$#{<$c5PwZ$H!fM0coLZZ99?nFZsfQ~HpJ6;M_Q2tQrQU|-* zi4i)-$(CQTcFXy>rdwdRav3lx_BAs>e+_D!QFkVfKtgLqva?ncMkjcogyo)Tn14IQ zbz#HdDyV@ub*)tS1wbrf0iFX`WsF?%fTT|J-hCD>#>d%WV(yM#%rmp|4i-#t%H?yB zdwkbUNVbydPR6QK;1H=E0HZMR{I;KE=aL?exWQxmpX(Ioe zkR0`=WlY{`=NJb=DLH{2lWf2?Wt!P%hNi%*G8xl%pq*Lu+%s#=q0@uBvLbURX2oyGMm)tMnEZQA z@v0pa8!8AbRJlx7*h^Q%Dj@;B7!nMXY=e&2$a|nDeYLydsz3em#XgmWO_N;8_+D6_ zD5&rjdZJ^&ql-H-w2$8@Ztl~dEI(S8z0x(4VDpuQ29BG_#hoR$HR2YeD^w~*KnwSn z%5J5?fL^~8N3vww`Lfrv!3kRkMN{VjX9;47)5}g7V{qDCP zt#rR9`oM_$Rdt$dnJ%r*5YnEzB=clesUp|0X$PQ<7LXe=W5}SStBL19Xb~xJFG0A- z`#oS!fP{c3D0f&ZS*Tp^k>HI%b9A-KtGT(GAT9)Y0td|Pu%f2}L7MnmLd4x`wF3RV zr-F^1Iq!L&Cn}hOgss0xT(5TzGn7*@Zd%$jd)GWRfNZpZRN_j4)LT9JogpFiC{Ht%UxGadpR^=~J(qhc#BSPLDo z60$PI#X@S*DJwr#nei)-_cS3ZmEG4=$pazAK_Q*@LLU7&$d43-EU5jZhgoafL7>c5 zJ{TyJ=;!N@5}iHJh}yLR32LMaU<)U_@JJea?Z@kbvNz8H`45x=oN#*Ww)2~=mmP7| zHojNaNuvv;NdHQ_C zPYHEfd_4zZvb?EcGIc``I$5&OLy()fL$uAE8NFzWqsyNQmljb!6Zk^uC1?uq+6ZSE zB}V@SJndjCz;3m??C^b#M}1~#Kx7M&#T-Y~$YSnrbSn)yLfuOXwg}<}?baF~P9x-v z2m)cOo#wTwEaT8#bGwAhKL6rth~tZ&>`nLaU0WBvgj8SO$jJEM^Bhx|+VeP4=Lka` zh?apPDMYY9FznFxTIsg9DSy-Et^Pz{t5iq2ijqpIhXJPbs%&X~zoTV3MJnU-azL8* zT&#l3m(VL)O=)QW^FoMTb!I4i{wQ%NzN^fw>(oylD_lZwY>Qrw2iy5~;mgE>2eYrg zci-Q|CT>5qWXH`LaO3TLIQ`xn&OS?gK?p{8y?=~@N=A^wc7?mkO%E)U*(E_B$*ZL$ zoe2v?%Wq>r53k^)b%O4|Be+Trr%S`4U5d+ zyc+=HItp4Bl1?TcW@7pjwhiTq<_1loh++WelQHdmUTPu~E~AfUB)wngBH$L9c#s$g z2?7Z0`j=uBpg!?b$DcXWQtfr@btMa%_mfu=TldW(8oU(c%+JzEd`vB<2zmxn;Dlc} zo#!ON^Ya>g3rgkKU#%5wPa!(n(T%6x&@@O}XT-d_j3s+~9R38$m1v_dHcmPgX#u=d zs=#Xaumu6$pszt;c+ z9dlKRm8`L#`4Dg62uUwi76eV0!fLM?Dr8I>$AbMYUjoES44mIse{}yqt$qSB!Y`{k zP-at8z|Q$Y!v@{+0rY7UZR!VMBoLc5#1@N@l0!s+r(cpb<|sC;z<+@={*;u38BbMw zi*y(Bxd&_uEG@*Py}^l+aUQneVO_Q#6@kU1t53|$0Mz7MdGIS9+ zT1WG5N_6LT$dppe+LsH)oe&S4XchUB>d zFFZ=j#}(b(Xk?l~9T+-Oxi7NB&}r~&i9J`EHp2gnSKy1$g}ZcrhmWgHTDh--lVxh? zuieb5J(E=MZJFP~2f-QR+bdd181XKW)|*Mkq{Yau+7O5Oxs5j32M zQHT`>XsCRtFJ+)l>fC%HM$AH;&rs!7o>sIpArzP3B%JfZm{#fGg&xjv5A{oRB;OTk zp_$+&WNXS=reO=f$0?4%;y!zaeynTHQaLL4GkOL0V)S~b7Uy~oM|bH2D_k|354bc5 z$VEklyfdY6F7Muy@kbtCntU*%mkYR^q+^+G5WSk!;q>Mgh~YVcU7>laK|gwVVjAod zmvTEC4#O_(+LB8v=0MzC-0#FJow8dPfj^=bUzx@GL*vogkdRAFyeS?7T^9;HJcPyv zH=*>PZaol%h53(w8Zp#rsWi)B5b6J=uyW?xw@FFB~Crmcz zT@%6ESnf!AaZ-KuMGY`Rfq-o=4G5lXyuX&H{L=-Cw-6=O7C+cpT{WFbzd-fY)ojFy zUt?r8z)ttF!(e_I-+5U?xdWseWF~}o9m%_Df={$^G+ukVDAk;KbNKuyqDA~g=BdtF)9d(R z{p5ScaD|n{vb2=X6-7NQ3VK#}2nil2TcL8t0G~1L^n$7Yz(tsis^4_Qm7_#aT^p;K zZH))$@Y0E)@0wG-NuvR}NYPr;qa(b%JH!K9lK;`_rt_N%P4%Z!F_GwSN2g`4zMxdo9yW)?n7keQ;*19 zGx+E%U7>j_#Vi?ATF_j}lGoEJ=mZ?VPkcQ2Q;UVZ9I>vQOKB)7)J5e(RHj6nlK`4x zFba!XH#JlMyN>!GM)ln(27V?Mp49#909(ec`9)ARVm~CG`=lgG7&x%BxHXM$L61?s zwq@|K6u*C>K9I1upgi}yb3d46Is6U4P?49Fq`-RTNm#|FVR4E1*7MS6vvl^_syaz$ zP_A?DYMiqx+SW~!G<3C?zT@1 z!-cHS)Eo54z*(F1k<|`AcO_jft0XNIBt*)CX)=up<+akSJa=quppRRlZi3>#NLKyjO_*{gYI)2N(Vs!=-~JYKZF)9bGs6i zvZga9BvO1+<=g_S&Q^&Gp zbaCH|G0WFMWr}k6b!_p2P&?$X>hATh;15ip*@kT7MzOsjb_SG?6FbuvKDk~@y?^V; zczabj9aq-=E~JL0&N)JcA!^5K-e!0?9trR4EeS1l*kkb_+h`^i)LQiM!Ce2~CiLTe z0}#?p6hEv4EbKWl%%yMi)Mo9ynUVOk5DO=!WSL3$x_@#8x!ez7(cB-4bJt)EY4RN_ zl{PM;H;=IuRX670qXe0|g*(&h#}l^oSLoA#vNK zC1R{)@xFvfAlIN_z*UgE61`Tc^hb;|?8K)#^Rj~?jlLvmaqeW<%VI1fO*Wbs- zAI$BdC@OajT;A*v$G^_U6VF&BuX+{NxnQfFhl25x-6SF>-IOexkQ=4%j)6{@#0!;F z)+;oNXyi``xe}G!KD`Bmj21`8%_*l5?FFUmG_Vup1dL}?T@Rkx#lo1coxng6L1}uL z6pgyjKjxUKi>oI+$Adr=$ub#kneGm2?e;D7>u9X6md=9ozU%;ok`!=L7LXAMj+)a7 zXFmz`cw6}76Yd_e;d#!@^0jpreb4)zx3Xo?#>KV>#8w2=nTrX9NzrE>usQn_Qo@94wgPWlKiUq;U0 z2b1ELfX;AB0*ED-vFW8WJ^7c?Zc%Fm3UEGHn~^;@Vam!GoVG{V?S_zXC)0!V0l1Lp zbWu5iq^!S^d4v(30RfsvH=ZL3CD3k2>IK)1KR5JEaeUY}q$G7v-j=M>0;VcPV&I~G zN~cj&{l{P+P0{U{n(i3R*dn-693yt&S~YRkOhX^j7uk=#m1izPNkOo-AF#`dg756cM<=i{|R3O^k@RjA`b_u%wl`7AXj@VzCCnjnF z8_p16+jG-C-7rh?&1sEfXUs1w{Bjxs^zgCh#He=oGIZ6Tg{)UKql8S7+YdzuBzXTK zB7^*WbVFWMca+LvuCA9A=;kX9mZ+IXt9AlXUrQn-5p1mh-0ofE5#F$C735@rv$(EO zp}kmM4^tz9F2JDAFzD9= zU{C5LFB!s=YUJcx?|T?(Z-_nOJ_b`7aNlp=P?-z&@LxYwzlwYDDy;1&a2Eh{%MP&% zOr<$TCl*BWXPjz-2C_bT`xQwq2d8Gt%A&rt)6uq3F*fGE> z+aLiyZyFDDDn?3EhBSnQCf6tGi2XeoDqq#Q4(>2?jqCW97}Y4-Arc1>$q zb;Bsy;9I)$K%lF~zS}0i(!V_r*y+4RPSt|RmdcV>I+bj-3pbZ4@b|nkDq`mu6qeb}(t~mh=9>2R)n+icp^n&N`4+6@} z!SE?hg$G4pR5fOpQ;&x@t4EJ&r4@pjVjhRtnNSYrR%wc2iSA5as_f5SgiTG*h6&(l zL^P=b!)Hu#izS4{hc9n-*K1m2GW?ya^eBZAvLD>}yJiXisCS3C9jt_-^wb6d8*Yp< zY*eN&$YuD%o86md#{g9EyLoPh<-mXomIdtCY2LMc<_RXN0Nw>MQ@|&Mb{zjPvU}6= zjTSJk{UNSyWS~Mm*;CY0yIg=@z6*#xd`$;R5p7Fk%97h0Q@*_09icy;O-7Nh> z2UIQ&&pOA$aqOs9{m_73^JM5M>L)!R;J_&jxWcv~E@T{~m#4k$8#6V3M5Z}{fSLQO zu8H6U&$=Aw_z(ON( z_R&egV=`A%Feqv2mDNW#h02sjr0_v3E8*lZR+l}%K{jt#Ji6@w0#lM3n36#JUx6(= zsk=CAYa{l_N0*Y$WI!)VNU{&X^>FBR9@DE7BL+fJAQW|~lM4koW-%$MFVgX)-!W5o zpLW;#yIL$Oah>yGq~JA>tP_CWxDv;$eq&m*{Vks`Y~ihZ;*uQ?O&vR#3=#Z9zm)@N z$^vM6BFoUiZGB--{Y|vFC<5{~ZS#IvD=mjan%o%z!^A{WcSAM=kx;W>PmJUG9y)}i zwd6~C&adG|Gzu{7ax(HDRgPItfHc@j$>|+@M1W~JMXxEU3BW9QWm~Q*7}j>NVIR6Ez#SgzL@J-9)Jakh zez+Qs*h}2%X8g)3p!(0lh-&V>{lLmDa7Gb*W#^CWK+u-LtN%x&ggh#B{fqS(K(84}}7LAP!r?T+dwQKKQ3V@~!_82=P zd!AK5uCyC6`IhSii$n}Z0+j6#TnlzoM(6XJ%I3xqkjj#2aR-&jmai5UtO%}JzRFD_ zr{@}QJ0rnodpak6*xvJ)!p^r2i?Pl#iiqLrGOq5bFj$eqstN$Yf_Mxg2D{h;a?QEb zU~AO}@o^+&;AQ$}0GVXv19kYxpy`Ww{nkial!X$TSKZ@ELoS0Chxf1YtKW#RUvSpx z3R(s&n|O%tC0jh9wyy{i{Y&eeuY&^bpO*^Fn|NDCIHLU(v^V7*TDTzok&R&hfr$Ct z!H!cMnN2PoP>>_I2bOHY^NkCZ4)$Q;^9U#H8)r-FzHCf>wD2~%s5Ut5Ji?qv@#Zpg zGQ^&wV!e`%JL7_`#iC<&LGy7Euoe^rWj@UGQtT zU;Wuh&M>#mSEbDmefmio=%*qpKBtLXlsbjqStYxJpo$t*4-!2x6IpyP8GyQgxmHTl zjPQBaR?Hh5E77NIj7w9OiF!^*na%`4^m1mJ47$<MF!I>m(+y|xdo%5p2rLsd0;cD#KO^BNQwpf$wFJD-7uS#tO9r46{HH6> z@(>yMj^$IEg+^S;1h=F5_$s42#Gu!5IeIlU9t!If`n_*uImbYLZ^?Ez;BF3SrFrb2 z%N5X(>k)|E%^~FelHrrx%k9cA8UH*T3lyRj)$Qx=l`8=-j-WiLk|0$Ywgs}>-oI$i z))zrH8AdLn@5_eebB*ix3ong8i~v$CMzT{%O}kPH29iFn&^7c-rbxSE^9f&IAqk@c z&1@SbSKxN@8Kpq*Ia9FDIy>CJB)633*I~H~I&frGPgUq7!o)y*?!>suhiX#*Bj|U0 z1-x-=P+*{iW>ceRmNf*)shkF~3BMRqhwUQ;nx*+ez*?jx5!`Ymo+!5{R6TD}ExRmI zRGu+@EziSc6jaW0mSQSH^0O@TkrU7b$?U@sq-uU(7zQ_>x{G(XfQji&o}x7llyWxH!N5wmA#%dx@0VHikfrHrL&MZ}-*?uYDTTLD z76g!QX04jYk~!0{DcyJd8dS%VDe2e3)td*J(h zby9m?6!befqX%|x+D=%bCV|riI?;e!#k1c+MgV>0Xd#-a*a_Oy_lWCiox*M^r_=-cS<}*$%riUYD%{YO#OXJlq5cYY1Fwd-e47>f#G` zoL}&ZdqZcxxjPCgx`3i@D$-YF??2gQ%D(tYM#BqnIt7vloB?#wuS}D_MjjK>vnkgY zt1AdYU|iubQy4$D|HO0R-1On9D5E_+EyZJ!!1Ycm|9DQo#@2y+!Qz2)I zlf&9TR!R2th`;#w|3Buq2NQ>!O0GWA#{=GZ_4IiAm2D>yJQ{XsA+W5rgWAXV+SQeS zoBy_HrZ7!D(y*&;S*0-Y*T45l&S{+aZ*u$Y6~?$BP80PmLV=ycoh*75DSFA)=DFhh1_e`ES z{G07XJs`P?aN(WDz}i3kYm_jB9aBB}HBGcb>c5)-H~(YzlcyE&qI3U$XJG$Q7cTtY zScG#=XN&+^Rdem;1D-CvWGY$eLgar;1%O+1eEW!(wx>~(>^o?|r3P>1;P^|0$Y(a! zNJ*k^DQPGOpba3wg>82W$p z&17fD$Xao1zm@rP!z))l5x;+8&!M5aJn;X=qN}u_|0pXEAnNZ?!mRXA4o|z>u~4O5 zM2h&l9aI8v5b?P;N3Nx{jaKyRO1qc>34B@Vs}5%XMYgX<-dWaS_`wwAosWW)I6Xk4 zgbY(x`}+d{4mA%@8T;a9SpJ!=QVk$>;Td3pa5 zf#ZBb53ZW6?=c{e$ch@LeBIwya>&bKi||kxW~Cg)Gk}-e{+o&SkkG}!<4z-jpy|!R zEBPb;O=G`BqRmp_zt;hq+qJ#zA4$(u6=;R!OM&4T4+JJ7-2eJAOkph%tGj^EHdLW@ zrQHH^$K;8O_wfDG1I_lLKX+eIBg$Vq3Z$TSDAC3_@jsD{jJ=_DG5 zS|uZadMt5>+>T8G;cdC(+_JYNdk#FyIZVB9@}F#ek{fWvpX6bGa%p=aKx`Sf+U@I{ zyW>h-z_>-Hc5F*9lPfd3L>tgViHjycfn~l18_vwdYyakXzC9h%0f!&k9`em(ka;+LLdMuj zUGwjdyUt`Nn^o!~{;(i`z$bXJ{L}59%Co0q0y0>Lr!JZR@QR@RD_+chODCLL=^?XQ=`@&X1#+UO zI8jkVWM@3hpR=bs`Ep2rzVVpB7%ugHioHvbp|uWYOMv>}_+(KC2+go&2>zoxI&Zbh za*vB1U{>f{7i+@^f5Z*Wzc+oZo3@GT+L%W(8S17$=obNQnlK_`{r4`DoY^lmI3wC1 z>JOvt+8z`092?uQSAQv(5;{bgZ?s_?fGoH@70p`%fme27DfS~C`}ogG*K+Z=A@*__QyLO*L^#rn zIivBe@ZbB*>wW%q8M~CO0z$F+SvSh+Fw%eEYF-~)(5z}>N_z<&il_sp7?{-j-8tsm{KxkG zZK)7AqdQzBs5{X#Le@9`&!LuR2Wk`kP zi+7c7yv+NWFZ7>*U}w`GQ_4a-e9?rx7(!? zOjVU}ZosL3B5rqMuHH?z3=d`Br33?%|wr~KUFR+QW*g`(j9p_Al$ZRV>hPHHBO&Kk;X%d9Gj zZQkKsI@Z+iq)r9*$L4JK?Mwk!xpR(A=(xhcE*T|#dqfVOail@4e3o%x+bF9p(s^J| z4LaUFu(0-_LJ2dF3iWT0-f74kmRD@htceF(bnt@3H{Jtvr7eT8igsUdmh&df}TPMoVAh7X!%T)5Jf`KGGVX4YO)8&oGargYrP?`m^3uDGh+}UEBB)VjMn}<}}jiFs5d_QN*xs-|h1r;YT1H912 z33EAZm}gXVp86qWu3Guj^xO6%rNYWkp-WsXxSd@+tl`zqW)AOuw#TFhj)wyU@`nuz zhj=AzuirG03~rD|->6l-rm-+B~H32ria`}VQ z^+Ml>-+^UUtfx}=K-xQb!xGAww-6&QbRK6aj?3bMZj5Zs`tFOl|qfa`;1Idoe_Fr{|{|4~5FmwsiT?Lq@naha67X9QM4q63aLCJ_cC#@Ui( zF$3w)G}F|4lez%t#Pv>g%!7uC3oA#y?tI=(We-%gd*9_sZYS=`J~`5eE?%g`lsOpa z+7;wtt`Y{jdaDj%SoqPvxnM}C^HW=TnyrN%Myft*n8!zTu34Z`b!mKG_>MKnaY(Jy zSgD1j+a?9F|AgKO>yHKL&wdo0pLyBl`$SK<{es)Mq2qg&>-4ScA$ z5fWbG*LFEk+Nvr2u+>+A_N>Ws3AVQ_rQkfO+c=f`OQ^K& zl98zwV7P^JsB8cuLscs~7r4GYP^Zxz=D7F_hE^MBP%2$-03ZJm;zNhwoTv5SJ~@QNMXULDG=h8|}1 zlb02b0P22Yl8|}7)FqELUb777;Q<2YjPzB6N=Nf8_*EU+dIIR;RLB-e`W*o6`E@Xq zxPpISe4c|?CDr1&vy0;6xeAs%$-6kx5&*AU_9^ZX@M-;R`zqo$vyTDb`Vx6|iN(eV zgXkadZh5m9+faE@fjl%0*7W9JQ`aL~w?H>dYODPA6z!NYs5WPIYvV<_WFH^u#PI%d zi-A?Q1)M#t8>ENPi7h-o1CMppg8}ZF0nBiVmj~+42Ya>k)6Q*Lb2j_M8OHRQcU>e@ zWse^QbK4(V_#R^-c|td!410NfBLLcv8P6AZvSHEGG{*Mn2){n-_du*4&y8)W_&jt< z`TH0(t!l#DG-@&(+To*n1gJM7sAZH^w7`P9UVHbA)Qv~K66_}g0*|LTj|!O?oo_k%aD?aW~ez1;fS?@8y#oOH6RH>LJh-OXi7=!C$6Yqz}2yRFW3 zWA@zEpfp&fC$D@e?a}BDC}Ddr948wnBvXCN-vOQQJ#8<%IV7+!4YZk4bsHj&e4tyt zM3pPwBp_Tusog*iHpRV~c|_-N?4$8*TqCI*W(#OcIgT7N@^%r&(!XWy4OK1oq-Ev|k1c00-t$rr3MaX0jZ&dxk8YbWW% zf{!E3PIc(d)fNE#uFwI5Mn2yNssU7-EhVRaI<^8daOsw_4e!$Ap~w@fqU~$8msReY zqW2$bP$miFPxx_uL5LnK&2(-dw&6NFb_Hmpz@f79GXoN;)NZ)vg)zpE+jd2%WciK_ zT)IRR#r1WhprTa&)lfmjN-@#gE)L9=G8>c{%5%VQJK_*_pkJ#Fai7v6lLp+RLznk= zW03V?kJ219y$y2PY_1Okivd0p2oxWec9S+JGWg+|#9LZwuGiFN-fao3RO+2yBo>qF2@&2bO#?bGMf1bd zz5zSE>1<)sK>>!d9aejZ;F~>ul)>-9N^wDYumMBXAMlcjsR&VBKxemDziObq0)`VP0D->_0BO=>~8+O__K`nv_u8U0^4czqo(0Y-h)6%Jw7yc9EjhG z^I(xJy`-ZV&jZ$_byrlKY)XS}uwXv2v7#fktSHRewkt)Dq?k%fyNW-<5Z}u#wvw>| z`nhe!P$2u!itU+icqQ>=4f3e&+iL-aYH!2u@CkF}8_`U}eOja+?3cRmg33kA{;OBY zC-3#j!533GsK9*%G|pizDV{L5fxGt!=(GM{kw{LJCoUB0pN-)objt^y{8^ZE+6YP$ z-ll2iT(SNaF@wwa)7#_tcIZQ|At@9ymy`tH5623UvnMq+5EZ|NS)W`cqL|9%UlfMJ?gd@q7y! zoo;a+vny?CWtB;t>syV&M2Rc05?A8DgUu5;)53j=JIi;O<;sS`x<5nU^CNyMds8ZY z1*k7R#4b1$e)LTM@^U`q2JfK~d9KvLBe`r~)H=eUAuhEa5LNhXIeXkEAo&7gEYfb{ zERoEoj2h6W%942o*FBVcOrV9&PKzkod6v10k>GeOUg@ zeLs5&bfcic#>}~ZZ6OxyzjUyBPK?^A!31Sg>|%}!h2*kXX&q>xoycTp@R*z5)vHGW zJ%ujx#W40;23w>40Gn_rS?c{+-6ozUpub3{MYwXC3QKO=$MAC9LN;`5BsAToww+C# zGe!XnL0otFo#vHnUdCq2ApeZs6|i)tPUs#{Znvq6oD}UamIQW)#gMtGT)Q{31eZkq zU~1$-H0LN7LHRYurrecy2bcSQzh8AWIsbMYi=$bTZLGXZTh`TB*o?WQmqE8YSi0Pz zM@gM`QJr0)QWu^taX+~l>7RS{Jq{3J6po#|X}Q>(eElLgKA0gB3_ezJGZ2+|p9KtE zUx{Q-ROcd8x6U#ul-zAxI0LNkCjd98eSNdI;nQoMT+&Lr&cO75$?~0(crUmXpCy z=`H`}lb{GJ;UPh~FtAGvSg>|W9g8C%^-d?VQ9&?=!GS;&^m5yjaX*Fn&?-FNXx>Zja4s;5=l=B~XE|a8_k-k^+ zq>%Nf%xJzqG2PWd{UU>acx&NJ(1Y^=!)GcBo-((4R$J%rxtH|Gxojae7TPvF_cFnc ziRlmqJ+7EI6|oT!jsRhG1_J;SN7^<-)0I z?9)uGV&xnLS(nzppHosarBv`@NY$3x(3I$uvESo#PwH1- z8M$WitmM7ok$X4hEIZ`~>_7RQ-FQX8`0FvFPd7D6(>5enwh1#F=n33>`tIqAd9c_9 z=8G)?^}z1hu^Dc?dkb7AR!3z6TaVUKrr#WZS=K7^NraTCSw`PV$!Stab&{!TdvJm7E-qL z-VFcMJeM^~71EWCAIdP4HWia(VPZIA`%Z3$X6Nqri|&d+)3eixkh*E7fDRL|e8vT= zQw`%g>QD2&`BZYMW<&ZV^}7xm@_T^IgS#fjKwBWI7#e21kmtQ{j{{QZ0Lv}aujwmA zd{>76yJ6QriFR+vv{OrV>&Es<6}SGlzV!K7L+4p`mKl?tnx6P#dQ61jO*n8=^zDt= zDz{XjNm#Mvn}gk4BVgk*(`u<(-%87GCf+O0C>`H4<_rGiPK6O&X|&R{5r$n>0Kv)x>Mi#OZ^*`n0VA!%QaT}t|+f7c=O zb+2lq;lCp@LCtE@V_WXc=$1OIe7tGJ#t;ARNNisJUGm(J2KHMLdKZ{tux}sP| zIzyaix+tW6td3ny^{Fd8`g8egiCBrA(LQe9!KCx;c1R^M8XX9n<4JS7w-UGw^9OUYuQ0{)V-+3^>IM zDS8xJ)Iy{T)y~OWj!K?eXZY_)WmL!g^8qs@lch|b1!)y0pAoskAFQ>v^FelRlQQ0e8{S|OGQLmEn7eU}!2T7M-?Thd)+p_L=a<))8MSow!b|SGyb^JLGYsWj zpDCRvnVX$`oB7NPzuQY$7w?5Mb-}giU)}KM(f>Uc9|I<5VByjF16U|ub@~Im0H^Ti zkIPDbH1Bm79Q{$;RC-0Wxf8hLSofASJQM|HDFZ9Ja}uw;7Cnpb2X;qF*j(2CwwS#% z={BM`}io<}s1iTbdXBF%YjPE*5!X_ouGuzp0nt+qtlE#)(5VN){A1YVBIJ zcXfoKyd(lFE-U~5K#-OaQw9LQW&RsigTVi5;Rew?{_B9wBGRfL5NLB>Veh{wj*Gaa zi;BIOi@TwdDZt#$-qw`C+1Sa{)Xv$$-sKk9D*ylx1Ej@-RXwt=x@D_vwcIG!N3!3y zymzDQ&3IU^g#p1aj!Iw3=W>3HtYmDgq^!QT-QKs{-gVp-Q{1ZpO!sJY6A3elXSH(OZO>cI z|JJ>0+E2`$w+VI>D?f%EO^X_QA^FJ&9S$+dXb38l$ z&)Q!weD{;<|Gn#G1lnOMqxJt?()a)M5dH02?DwVMH#-RQWRC<5K>RoRfbhft4lZp7 z%+4o2jj&j^#*-lO*zNH8;cC*cg3vEyZfHflpTx+4kR~ER;N-*p{v^TZ1^yCZ z@CcT8k>QI*8hI~s&-A+wY~Ne6-(`MZkYA~Y(&Ua0%)Y0$F^kiVc(s}%*MqD2UWe1O zK&T~`1ecCN3<82P2d1)u0?DP24G@Kb z;n+(*;`2{Cg;;yH-rXmoma+oM%~`=v`+UQ_z~Sd3NPrc;%hx2bN4O;LQ6!BhVrR&R zmBr!>^qBL=h}?EZ;sdA3L@lTRF@2yA(%hcstxxmb?~$$V zkU0ek^eA!~+;!N(OjUm>43Nz^|M;c9IPLpw^QDano8xnT`CH%j?&G3_;63CelZz5C z`Db}O6AlaqL`n{PSe4RZmb&}+0~I2*4&{WDQV4CLymZJ0xs(rpOu3HtsDZVHlO5gb~3M4zH*Ti$QV{9 zb&RQ7{d}4^to5mWrUm2|>e2r)wu}M9*LFnD{+Yljr%N4H)8?v-ao8YNmH|R1e-)Nz z?lqc={j9!NQO*fWCPxLY0A-e_kwq-5auCV%mFonksyoZb(4aUFl!cWY?$i09mr1() zUFu|KfcQue?qyt}%fP0-!jV?iokPKb|GO6GLB|*(X z9$e);;(0H`1o zTUr98p4bw%zKppemD0onuIg%sZbJa_mW=$S+3~URifnF9Y9gM05=+i_;@=N^0v7)e z{QUQWNntNosP_hPGNxOrtq7^NGsX)`v4lY!TwM_8O7QJ%+E%ks3srj}q; zv+ifSJuSuai>N|UX#0Ihh@0h}YP!Dy%B^>kidrIln30!OfE#Q`5RN%TyT$eTg+2=a*`-R<2~_PYGz-DgSsM;BkN}AdN`fcdR5q(0u8v8BF@G zMYqq_zBQ8m*XXS8fyy;kFOg(LJvOm}t6v1zuTjgV!4$!#!jXtWs6(^;z$b<)0b@j5 zj6VWkOFUZkia=81mkshUimMdhnZHcjat{(Tgx9cf_CN+^@qkM>J1O{aiRxC22)Lqp z5ZAYa-1E=CJ_JLWP$;+(9G6Bp9n~X>D-;9BY>6ep)t*Ln5#0E+;}$RZ`H3ufDi#ox zj+u-gsrIk(Ev82~vzNr&A0v%zL_=lhi7nV=*q3wCT*{L75YA{|!2EEBM9~}!_06@7oHfRO_I4Hq+m7B}-? zOU5H6phqoO`MkC~P9cSm&n{yi*5)9;Q+-j@;WCyY2G&Q*>5PHNji)zifP}uJBN52C zRpS(1*vrqw;#bnWEemk$GO0=3t(sdkJdh%S-G!m^vFnGK9UOXtNs~+M)T-w!&oH?% zV*7|CJfU0@mR>f*C6n7nB-Bu~eUN^ocQ@=;i%PQ*oE%ETk)q25>Cjejy zezbr-_yL?93z5G06RKM-GZ)q}oX(FMGq*Qyg86L0YauS1FE2AtHCgKePD1N@{2o~ zU9^~sQys^n7{m~wTF&8$*ah?V8kpFkk#q4aiopkM0vkr&k0pXalG(Sn!drZOPDE}E z^kn%B+fYbhlkXZD3d6(QEV)lrr-a=t1g))@xFBZK$0qgNd~jA$_UnGYQGB1`wIXfd z5Y?bL)MSYcba%8g@-Quj@QNY@Ge z*ZapPdlrLWagxb zfeng1q3g>;UhS$qVeZ>pXYG8eH?m_?R;%L^3BEdrg+q~L%Yhl2`Rc%m?;!%({$rk& zWRPs!U_^OcU7Z4xQVTTv+2_AUPi0E^MTZ_W(?{u5Dy0uhkVoYl0Mjs18@f?NoKDv7 zJY>tu3MEIYx7b{K_=i13lRTP|CNJ}ovQ^5#UtSou z*ct%A7s0WF9Nml@4Q$LPBZD6ovP?lU6*Yl@tX~v7!!ws6~yFAdS?z9N#Oycl_MnFHQyC(EKjjZ{IBeyWsiC7_Rhi zh*;qW!toAayd!3tW-a12cAG3vpy9qXc6EO!-l(EB7YS;DND=}@CZsf?UM^pYP9NSD z9kul03~4JOeCi*S?mNHY=9qbq3tU{#y*_eIQ-QWr8{Ulf+qvbR8}`yC@Tx#KbKED}+PJg=+>^8yA7ANhOlXajX%`cgEN)7+PMW;PY-SVh zk?93H3r_EZ8Jq^9sus?*9h*ysHVbI)yVK&@2Q}yBI(Wwg{GbUz1Vvj&y22DF5(j3s z-=?XhzL(M^&!(q0jvI%kQk~$VYQ|chqD4^D9FEk$RIJc6iUj#E8egJ9@Q|gL^3>j z&ydZm8NSp_V7Ymvh0>y{#tvpy?t1B+dX(2b!(FU-%M>YwwtepzW^`W%_A^Zm=~ z`(oeqa@f14G27jWS!;wuh6ud|Yo_Ng45Ek9H=t`?>j)@2_6Q_Jk7O`n!=)Lgbg`z6 z2xR6d0NZomqW{`&*tWa;GZNV%HbP4OinEovejr^%pN#5I`kK`0ZM*>Q$`ix!h5gm(7?HIMA+E-R32Y#R^ae^$-MePQ(ucZnAf_6R-v{t_}K6I3Eoa zPdqehR)@=gW?U@!+xQ49&$i&CPWwZq@}qqMARH|8YZK1OAjpY2umEdr(eKt0Od)7N z4iwN}DIpooxwE;Muxp76w3kcJUXUQ6BGVx1lEtcQ=e9X0T6kpAPa)~jAc(L;=>!&% ztGmbJ?lAqgt%uzQ;;dwz>knHLaU&+Nq*LC;QBVzXObH%A%s)qs2RJ zjbm6sp~DS+ZRL#TW${ zo;a0Klh^jb{s~HHh}Y3zR~5g(Yyt_}Gtpb5K-lDx<;sU78AWP8jb5f!16(SV;Y)T- zk+sATsn?AXsY)J83hBKxZHt^{Sc%!-=QeAa_$`PP+k~f@^(4I!MpC(Je(fQblXRer z^nw49o|O@8kZz5{+Y`f&ku*XG?nnRo@9pd$W;Vz7u(!+SxM}x^t@rnBkze~++U+nk zlRNLe3!DxzFg1?XA0dbf**Kpo4;z*mxylf^@`cdh!Q_lW{szZIOb8b?MkNs1txbEn z*>)xY-Q9YNn88inHsBgYupShN;hW$+u1MRd2RErPV$M9K^&6SkROAMi9lL;gT2d5k5NnsUX7P0x@*GA^@6}_CoTSNbD|}V6=9`I!iUqzs2Nx$qBoD|kTS8_G^SQ} z{rlp`0hD-|I+{A;XQH7>QzVp?ELwnn6$YJ&jfy(l`fyGL9o=1!;|MEt8~Nw3*oI}e zk>crdoWE=AuhRmdrEP>dgfyMxoeE^3ao(7T2r8DEg|V|OnG_Qe$e1xJM{Zi7?3*}eBobNwnUCsR3;(Al`NoR}o?fXNMXHTpg=_Zj zOw;0DI(s!nJiO_-UQ_u1m;f@9K72+j-5w2^?QDQ@%A38iTUj$ zKnyM0=?Uf#4!glWV^?LV0GT-l(gydHSwhvR#6qIE0E5TO&-6iy9Wf-f3#Du7Flx0@ zLdDr?(gd(H#K+6|)X@|bJ~$RE6ERX;kb$f}vIqs{qLRT?{-T-VuU02aVHruN+k(xD zgt|00KAM2h9`5Iu(KQKEV1%4)$e8eH9wV6+Q;;67U?xltM6B)pb zgleKKbnxelxGiXox;X*Gn@muIox%oaGmgYpO0od4`6{SnMo|uJXk?@!<0O%aMhTWE z5&To&$j4Muk&Ij@YwI{ydVnO+m5xeL5_B9-9b8+vMS-4j>-+) zlX_plQdoXGl&x)6fUsvq8th0>-NG>QLsmMo%`co7m}Xhcg3a*WF6CuMS+MePWjS?}RJQ^l(a^i7jC z8E*y+uPNY!vnPgSZ|q@sY;%HWL5VTwsjnbe9c9&M#J!w*Ha36mpkZ|CB&1xH9SPLt zIWCyObB_wm!NrI?1XT3m7;Nh^(Y62Hu6^>fx9Rut^Xb@ml0obxXKNPcY6GJ&x9w#2 zF>%N#`5QRo$gs3%q(2V084Bv)xngwwd^QU+DLSMdf@SoYe|@nG>n|v0)^K`w07ycF zbC^NtyP*(=nDD0XXD{iVFgCNXP2j_lr&a^oDLJ#?O;X7c= z2n8`CLqbzDiF-PmLW#TaYx0=Nd>Opem|>Yc_nneSL}y{QB8?Uu262vjzq{M(e-*`j zSAEZa-hRzLOT9pVqj2?vTtjIPji}55^}29T$wsh8H!rd2jJ8KC#}FwE3Q#80;SE`F z`Tlmx(I43{&VY?G$1;mzbDN;R3fb9ww-XzZJSm;01{ift;97jj0rAA1sKW+}vKa^%y1v*Yvd_vXabG3wQWKGXa3cro_J8yU>q z(k`1W7-*_`joX#52D^;JdsIWCC5WEnaBJhbH@jb9T-KTxVE(LjH4-Z_nJ-`loQ>Z6 zFgs{iR$3f?Kb&r?iaVTI1FCgoy{^F<+CF~f_wuCJ=q;AyCj=N(>JT$x3Vhs~3w+Fe zKccO8{`Qs#Xa&dFw5+xdVQjT6sWawn=bfIOnudov0N+@#oyIkl3Z}~#3+_ZlJul1x zhtfxHprOCk4Q_@>2(FzU{=;21Vi*{|LM?*OJw8QF&73V#-Z((RkUeGL<{g_8L!i~M z(%w-T-1?Oz&*kN9=GS@;s446f`EYvhN|(b9RDjxXiK8vboz@}!d|)Whpg7rT5LH2Z^DEp@qe_WEyBNZ+U5SDk+MX#)2}g3qTk5moP-ELw*A!gZu} zj<%P)%yg-{^1aLopj9~TPeBwJ-PrEAF2 zqhr!Dohz3l&KpelmL>$;H7}fb%ksL+=ke$^W$x&6r;qb&B^!yvOKQ8xI-P;n4~{d= zHj8^*##5B;%Uk6WrVKRBDMr(C0$BNJ7Cdx)?3M%*K*e{6a<0p*D(dq3gU>DvezU3j zdz*cWn={>=@k(2obR`<;*%t}pW*4pJ93`bL67A)P%L*fmtS|ML`eaR z1gneKtHiN`Z48n+TSzz1RM96r1~6x+%0mF7;Ij!#wVzJm)IaGaH^dKxDVt0Vqu28D zD>aeN38_YVPd1fFvqh3VNWdz!#o?r5h5phesiOZ`op7hestqP-r=mEjnOpm@4{!@Z zIwEeoEJ)h9nhN)ypDNxHYHKK`?bb*#o%7WjNx*^89LFKIjE_<+ab#XzsV63;d=?hB zo(JHVnOI=su!{z#Pn5NiS}rb_u6I`F02LCgYMf12@=%!>!4*n9&JsyY8l+`v9c&_1 z(36b0UsN~`Jc^k<^8B9rHT2&8BV(VLa=(!4gIxck>)lV$Otf9`uI<21!nh>&tifmU( zRVI?R465~SlLyIlOI|oe`lD@2&6u}}GO>y}>8WlkD<$MgHWZ#D%l*l6T=3jrpdDzG z`djGQm+VHD0K*%_7R^UhPTn96IR7l1`Q4AcruD76T1R!kDQG4p^LBpeqEiGv*(l}}|w!CWOdKFjE@>_%Jb2p`BuHs0YwbfXj}T z0>HFfB~((_3cwUtvTD+~Nhdd}FhbFxAhzhlGtLL)tXP|zsxzrWRR&0iom5migVxH! z+kUmiyNK!^vVNU$*7d#(_dcTazDzxTg=c&(M!HL)^QfEw0MILF2XvbD4o@E)HAwb^ z+u4NJ1GZqq!AAwd^n1ABK_Y}Va1C>S1!=ND(0HHhLwx92bA3GNfGL>~HOK5fGnv{g zW3_gR94<{B-=*HgTSi#D3vq3~uA*BU5|=i91`*1)?RfO3iqi=iS;$LM5EwS!Jz=EY zI?93;EMt_$#P;NEW-gYqJ|uW!pct>5rR7Z<$uf^NH*g#2_`{M1F^kR$xu($uVh^3Y z#u-H`G0R9HwZaqJVS&T zI5yYsnHl02o`U5elg60$E0@fC6&~gJ>yI}xGuj$oIw-T6?Hk2ss|ApJmKE~zot1q+ zLL_TrjvU1iuV02(D5;@Ygc`cIlu`k5`^dip$W{HXtN&c*@7K>>QyVdVJ_7r=%a~1y zc10Xo(*IivU}vl~a^B3~tG#l3;G`wR$!I(ua!_2*a7>E*2g?60(28F!cOH&xK&)Li zQp$?aFcKt@>Lfd~K*b!)TwMJln(`CAXkm;*fkBb&kp+SQ)--EC!l-hmBfC(GIST`l zO{d>Qu9`;ACQY80n}<>hLNpOMX+o3P^{FJP_=l@Bu6d!xg`4vHv+CD- z$dHhkvvHqXqf8!TWg0}IkQM5xy9f+OEZ9^{Vi-9ABgarWva*IMQ12rte5i8aTMd4R zl`)@7;vaYtYXq4kL78i}&v6ZBU9G;~yIP_yUtNW$7?u&Et>!++;ADma-N{BVG59!tCe6L^K;U$?iJ1d} zKMgtvAu2w`A(&1gI0iIaKZM%k-zcljOyGAOzjIgH4;l~$1lhc|^2$jIOFnDhcA7IK z6XY0yA9)jcgRwbX;2U--@WnB{sc)|5g<9y5Jz@OHWwkp^_)nc`N=*DkWHw6TfH}BI z!!+I`$eE<7l8Hvmg|v{koh3Ap1UsH&uzSM6>HqUO+Rg!yT``K)sp$kott7A0smFO0 zK>di*xxVWs;2rYow~qQH%NE;09pwa?;d3LPW7he^yo*WwKq)GR8BF^!+Y{^cu-!Uc zV(cHMm`aINpc|!3VsBFhgp8ppO0U@k?~l|MXW$-H5t&#U(O?p_Ho zj688&A|l(v`S5qRxP*c%q7hAn%X6ppdf=WfjE&+!WPw8lx*h(04Dtd_5L8ImqKGs~ zv0AA>Q2U1oczV9c`kGjSKTD)}`be}I_ox$r#k_jPQ_uj)FML!yiQ`tI7D$bPz+5yvRbI=L+R5_!kx84O@drkZBP znMoCX_3A`m8XOtjj#4b2y42MT9Y(xwZhPADk-Z9x#XCAgL>^|HBnB}#&sX;_iY?StKJCW9) z{}OARq44mvk+I-xSrnF>7MD_;lIDXUjhA*&)1;aIYJT($dIlchsc54iIt5M8qcLxA)ADLS(nI&UMeou?lLP0VwEo0Cx zd7pzQYlcui_Kz%nw??(0pUEv^UVb&bP4Ik(4tx`?VT-9)%6aewOo4tl@7>Yvude@w zTborzqYdzH+N(A{pX#q*J>Slkw;?@bO!qW*S!*PVe0BU^UEd-mzPIB*9aNg@+ z|KJzadB>ERz|6pi0rr?|a@U@Cirs z)}O~JC}v}JTbK!pk((0_N+%3U3OM|?Qp73GsSiQU-@Q-!RE}4St-W=GJ0bcfbE^uZ zLEWIoEr6Yil&4G%I34jaYYtPhZz8J2>l#0`@%#rBqSkqEcSXC$}= zhk8z9V=8*^piwio!m~fWI{xuA0T@D~-1;-)k*@h){hrT^iK z1~78*#ORxcxL=R=zWs_sq+)&$L1U?cOH}(WlpK@Dj>5fq%sSbhusQv_nN^05L$tw} z;n5#Y(&nB;V-e;%^e@HpOtrm?xM314lhLVj^=@5v=w}mc;-#+v64Hr4u;Q1hhLdko zjz#d1%}}u}R=MVeU3!Q9Few~W^36(Zq$mxXoN9D2ALt7_*mIG^%_N?D^Mj~VSF(#Z zS{iPwnSJWm_P*QrJDpam_p^H$>o_MAHy<%d(}2UT|cpIYg{6I1j)+;2yQxY@EG z53SR3-BuemISIGcSX_lY-n6;Z6rPJ&WTpU$F-#V52$S%iGT_tc;X>AvE&~h-Lj-`a zChnO#rC*VXm>E+C{8EP6Z@+(;D8|Y*qA}~eWi}(`2jvSKjn!(jn*<25&-p^P$ zM%k)>93=rXZnr%B%Xe*@dK$oYR92ZO#SP>dlYqbhj@`$(^dl_^<;QG+G&Q{lMI%Pg z7D`Eq!a@#e4zG_jdL7>0zlW#k{N4u2zG^1T1uC)gebC@5+o^$ALkw)J;u6|FBiCbB z?RS4axp@NyY@6Dc1Y8sKi>oWrnF}Fsu!NP<(Xmm&umi$T4xJ+A47CuMfvo(+;xOss zEhs2asSGVF67U+)EG-3NQ+E3kB(luSx|L(PP8{HpmZ(t^WfkiQKQ}MKNw2-yZ-H8uD)-&i!pQL@S;x)y`a;`<;eL^Pztih1DFp9*8 z?8OiZ`IQeW*w_IktIp>hR#M3Y3jy8|&MbU}?yXcbm;bI7G|Lo8Hw%m8;aCdCngs^Q zCfo;D&HeRu%;hb(DcK~D;!)0tO*+TqM%1INdqz7g#UgTSU)m;}I1b+rn*U^u&X?M} z?KnH!w(#m(G68LWy5Gw&7>A-H;?30zKh<(A+Kd%Afq;ZnWcK z7K)+1U4o01S)FUzTcw=S5(?A&)KJFfHgiCr6KTr5ckbH>w6m~{8lPN0k(I3+oy4}ueay*)A5QG!vGJdmPl{6 zry*A76r4Yhz>?~qV$p3@7fv*BQVjBlauKAnMcNF%*slv4XFAk&_p^cE06Yws3Tc+} z7fA<^gCqJ*b09R;cGKvEX9R>06L5895b8wSn7_~vW_@;6;w!%RInQrhEd(d;r0dLZ z;fcVJ71aEeS#xI^5sb&C$~>8U%~xMx(gIRc9b5RyM;@AZk&}-|0}iPJy-g}EOfv;^ zSjFlCzayXP94=(*t*k@nY$TI_`_Uol}Ds1r2FZD}mCq)r6s zXldNk$-Q{%?fvy}bAw}3y=|7W0?ryR6ZP&khR;)LOlhZq1K9)pGsqFajERw%JAKaC zUiSSCbv(F^1TU$xKP%$)iUh;ceBb{)GKWe;qi}Avb=4bN;24%&8?@lBEdF)zzP$&> zdKS{pe_voAZJ8c+DPbE!j2M?FRIDLt7lxaUb_Qr^B_!znK$x~e2O|`-4AxwNlUf%I z4n)WK@W|{f7gG|k8|ztdAg|();+7yxqO>EfKp9Yle1K?Q&q_QijL#rG91os5SWePv z8pkl8pG?4v9hZ@RR`g-F_WlWEz5Iu0X$i(a(|699HXwJHWkDW*a;;x=F#2KYKZMwb z+&u~kM5zx{1UAASah=m^?VLi;1GOe;+YGSt>yw{tk_aL}ndIy7Foy7)SfRt=bDOP_ zKIhN9FGzY{V{uHZcKeG2YqR2Z9*liFK3AsCt8}sr zaDzy=cieKLt437ld{|PLfFUDBaKyt7Foab`F^=I4V!=p6WD*|Hrn-9v{-(l}Vnmvl zL-im$ypeueynU7tT%EOej#!>d&a!QpFbvAA>WzyzO={1F6jm46UmC|W6K`G)?)yM9 z@6%F_FoMdGLltQFmJ!}VQzH&&nw*QKI7u+PhfLEWMTi8E8fB$7_=0&|k-oK z)WyeDpz6KG8wqGJHq^^?<`(hbR&5(^s*<`}-o3^({r7Cw;8-Gp6=%#h|Jmnv%IB?s|SDgLgxzdGn;bc#H5Id{24|&)w;u`ZNll*30jF~)y$}9=^fkt#K;v)_t76;zhdhFp(huzPKGXXA;uHZNdaiDMHPma)b)VL`xG9_QX-9f_G)J!-$iEje|sZ zlpyqG+F4W@^f2^#hQ@xt78k0#jb%)1P34r@dG>4v0fnyXzpcB(y&Kv6-1xal7`i-_8)iApY=Ry?+5F1&RrRBhiIfSzm8 z{zN*|`+)oz!kLIwb|@6!A*R~U1>wY{1j!tOB>CflMM=j7X=QPFlPPZZg~(3-v+4FD zLci-{Zj?0C2W|A`E9|e2V9cpNDANar$ABfe#+k?Ohk5JKC)(6GTB092pk&Vgs8rW8P@E&bB_MJ|};IdSsoGKxm^i>=xU# z(72z*n?`so;_%|pSBmMEG~C3QrqIglw9B+J8(yz^%tlcC7UoxR{?TyxMz?5VL8nR0 zr56woP-5gEV;b=U7p9YH-1-j z)CVw|5nsbGs&>!0eh;q-u&Y2aqhMQ|t=hwjKAkl~c%n_OMpG??*0RIJQ5{`;2UnOo zWMFvK;=J0)fZ2&eGrNcu9c9STQoi}fBt1aPWIY*x1hrfM-jw$Q9zv68n;gjjs#;1T z_5LZn47ZTdR=-5UX(^pgfvkGOjb;ESs)VaFu&bBTRiRc2)SL#?Q($fEi>j(=79l9- z)TZ3eeQ9AOV3i$a2T=x2K<&CVO2YoWV}T6+Cxru&4b+}dg3>?kqEeK$UXjk-mPu7L z)3pKoWW!_MZwRjRn#?R)rJRQn(UP5ICJB7x+mkO&H2EQc>5)#;^24axr~c!wz3<;A zCcno;zlV(5@3h{G7wLMSz*~^V8|3f(R%HDFOL2ql9^cD(x=S}>HwswI{&<8~(}ZHl zkrX#&KA%J)IXnZD`+6%50!%P0jqNw5`h9J7qrcbKC@5iTsmI`H0mlHrJtNCO)_SN^ z1Y?~RjLj2cJmaXf72A3(stl5mn>_^&9h0X(y4Eaa3m20Vmbw|ukVTLd4M)Ho`BCG1 zg$S3dma7Wgbq)fU33!|ox$7xE;7s5+eQAI6wnNV%w?l;@6G9w%#wv%+ox(cRGty~8 zocEAZ&IMqeZnBIchy%GV-8XKZFX!otZJ7fV|AXq`h`L#v{i-^gUxwd#3{x^^e}`Y< z9uTliF19>f{57cet4(JrzYRKe{mXRb#aHxI-xaeeGo(zvlGLz~)lXb=;~Fod)M94- zwaesT`h21(EpsZRIA`0JRz$B6+l4jOg+1wo5N1f#hsgkwejb4+8)+8yT)*fPp9J*P< z^8Bs%K#ox@YLrZ+Kl&*5@cWNceRTQEkT5Ay1xW#`Rt1`nmqq!zr74rdFsW?@g;M#H zxwe`@ZwU4fU~vP%uo$C~a$~r~#J!h(K}O=5oB&_Out}a(i(r4mW<8$(_e`oXAx9|W zvxXob_E=ejHqHz~3vx(`y3`vCYzonYW!yNN&xvXOOGY47kN_YBH&>Xw!uaocp%Z6% zdJ_z;k6;kwQ7j!q$~Ffjo~uVd5*h(4HX8D{ba`01^!qog|6M2WcyBKFcIdarcD|Zm9(eW z_tuw2@Ci5LwEzthVFv~%PH7TDJS~$fh{kJ9eQkaFPLlLU85(Q#dImNe>b$ntRZLkU zZd)zk>D+tw=QZexh27_Rc~uOzc0VD04wqT`N|N3QHArpHyK)C8_GrRNg`gz1<}GIE znV`}XjEo=tp_iQWuLhHr>*oBS%r6__o0OwxpDUQJVzKheZJi5;5PD_iAe@pvS+2)? zO1e%Z*{T=Qo5(^|hwFHV$ExG~5UP5Otf>Ku&}zpemx^=l)<}gG?f@lN{)1wY>S%j! z_sxHdJYYI6%%FJ*Ry3)zNwWPZa^{o;C7t@8lAC#^->#nnA4j`)6Xw|mlBET2?GN(z z&LyQ}hLA{VB~L**$H(e*SSk#bp~Xo*cs?4_GbXS2$hPnQa)K98zr$s}NBz16FU>V< z$4)y9EH}Ukia_IpH$Oqz;l4*u6_D{3?3v^j?MjizekIhnv}!#c6lK-{Rg#{VSU>I^ z7z#<6`D0dgm$>9U|^_rKTaLmYlpvhC`K95r6d?5f@e% zEOIrDv1z=q{ph*$iQWTEYKV=jXUut4C1J+-H)t-hHX9QWkn|E|^I!FES7&mJHg1l3 z`!a|n2A>82p$;*B88Ui=1ecqgux51dh1T!cPtfNnis-XKzvC@d!I$iB6_HKQ zAJy00H&+fJUzZOz6lZloc$?-Gaw)?~HpU2e%>Z-l(PCto#)}Ayoo)!IJp(cPC`2L{ zlO9%_IMgVBlr(h>k)_@i8>_90zHI^P3_L8rcGxSxba*Y*b+~1I0=% zJJ>=nCEr4*&f88D=iA1IzXz?m9b}><-&y0YC1&!GXhBN$r)B_rA7yZw?4fJoSF?<~ z9R$ibmVrHsKqG@%VQ4LUROL+P0VrZjeu6Rt<99MZXDqRMFb0VWsE&WQ?Ol7pK6Yx zkm^cwhWb=uRX}|(JgN>%Ksc#F?2**!KF9`+0NaPz%xy!1I%Sc#<~%2!5~^rw5=`ny zf1UB?LiiZ*7C?*3hFwJ;lVr>oUR;c?t$Re)?{4Ay&0XN_T>tkQwC}+-e^;5_P}$dZ zn`iUa{CD%PbTQ2Usf*J#Tc|ahomo_yV$^2M`U#)NtW8&7bFoIhLrgqVi&R36z_Glz zm`8Ltwg4X@%fM($bO1{|zJq7LAms14Y5DXl^j^+)t5~`?TOqNHl6hGg$Rw3$7wm8&6SFk z*_-MZt-sLb*O=E0_0_^--5qhBq}G2d5>S6s$84c6Jwzn2yv5C>1l6Q_c(&S3x*_9nXKp%Y!TK zl$_)6>h=vL9qONYU!VuCl=@su(VsS`u@{HTM+GwL{i{BnBh6hez)5GOR1WXF7;=j( z?~@SdI=}rl+3&b1n8^rNLQEYYq>QXZ3p1Bq_8-C zSfo`w64~IZnT+G)4>q5tU{Rd2m&p!A_tW#FH4W!s}rGux3B%o4lkQP-HKlb4X) zI7xfG?mK=rN2ET^hX;#U-}}+r_gW&)>!@D$_q*lFQh)!L$IRC)9Skg4?4tz#qlDi@ zkxmm;k_#@dg|R~2B^!yymYt{=;b#Je0QfM-Nw5|J?mn!!eF^<+JMq_m)|S7hR}1{I z6>8d-EY=K}P8Jl+CnX^SzPi9wJGtp?crv^SO|b=8?y$lEVJhT)ks^Isk*Nazt3N)3rXp%n}Q#%oAy6aSWn$?L z%Bd|18{h9SA!0FY^}2g|yj>jnx$=zO4hr8_Aokx->SSYTPFY;* zVf$#|PXRei6y+H%n*Vep(gFi4-Qg!>Bz?J15ualPUzR%EaZPM+sZM-rSQ;* znxv=6Ev|KRxqZ6aqWYE-#B%sQF*JiAF@S|J`j^mKn$EK$5Z22wD*9a*?R6Z;#s1W9 zzbUh%vbDH$f^>CdkH7Io`}OY_HS;0dC-73Knrwta!%E{jJFa@_+dM%93+|68T}AG5 zcKck&C#vB}E;DMZwRlqHi1p<$eD+93*XOaM{@2ugI~J0HAGBusU>#j#V($Cdv)_T_ z*R>>)p7-S+!G5kv84OOf6MkTbQW6;oxO^zW-dv%JUGlXv`Y>+QR^|QU0w0r%O|2LQOIuWFz}%NrxsQ87Qa{^vak3NB8K?1}Lhv8pHqfc(eO@DS( z#aBWL^h%ywj0!BVn(9dDAD|{hoA|&iD%AayUH0}-<2&(>dH%3Y$wfO39e#C8wufsi zmGuxT@`m_g?)?gq4Blh{IPKaIqm}6?uiR1>$_OZe>Qk;l zsd2(~*ymi&{kLf*!H)%dNG1f`DQRv*JGeH`%?Udvk402_yRnu-2DA(0s9DYxWq0>@ zOH#&dju-LJyyxXjDJDscGQ?G@WhM>g|h{b|Pl_g!J*KZKSu} zRy^zgIAKS8YF~jIK|E}piLy@-cpEGSxpt1Y#(8`N!Q)!mY;KqXC8D6vye znvv7EX|t8^bN#mMb$^iP&}klFz9*JlrlZa4BuVi8L1VV-<*h1jlduPuM4QmERXr?% zXVpA@nF>iWVwu_!N2a#of|Tn_H_a+huTgR9eG^TSam+5qU<@LCv)mQ<%maas) ztE8vEks^AZ=^(o~T0LUy@^F{-J3P!K(&{Bih~D^9U-z66>2BcdZJGvSy8~HJS|cy} zk4uib986&C`&2Z_w=WV6C;9cD2&b_!z#X>M{NWT| z^Y+k_N5OH7r`mClXop`sPEvVPFePG2w~};VX*o$n;C@RTC7il{!WU~Kq;(6G)wb(< zU-L#e-SdJq;BwpF_wZ}p``8bt-x4{2k)x}+s)%E0-H{>+kyFB3+HfSyV3tskTQj$c z_K3AyOuy1Dh#UG28U(s#qtq5p{iKE$y+Y8M7;14Jqzce;-$K8pwbYQt)AY5Y^_TpL z9QD#Pdk`MtSR>T2I&?-+%GM!?oe0;+l$n&Bki!HP%t$bc1s;vEee-!*vaX~eD3#Hf zqVkAJWwSK^Ch4Y^Wuqb36lIj4MAXe>U*#r+?dy~5#@+|?%-=w?Ng3Taq=px*xuDbs zNq;a~B zoE}X;6mGGlAoPF(iQM2+whnGm*&Wt-!zJla7mO79T}y{)E~;LA(O-B@arE5qw!P;k z^42E;quR|L@TO!-D*&xkR6&)ap*Gz`J*+wr`3|s_!|3lQmWO8VWOmT5f);FZ9>AsV zYQOinw;N06?UfJ$=U~qrC!#3@loF{TwNng*MCfns&ydQ_(HE)({}tyWu#k{6@A{tF_|?mUpTi3w@d7$>Aa36O;wOLmBTszb9nM85Dhe`RkZVwtRMCvW zt=Y$07pyDR1rGRtPv0$CgQ|g6Vh_gVZ=$XIY6pr&q_WjysuUe#=cIJ8e`IPfDHZ2h zYbsY;a&tY+S;xFN5n;7M>GfTp*basAOH?6}2nj3>ojA=djO3A>PuX)_j+tZs)PkNu z_k^DgU6k&Jz{K$S7WR>wW*Z}O-FK*sscm)MN?i?=KetC5IWJM_6CGi^B?IXU1dW<)bE2b%l!@Oz&8@Mk{sD?HtEdgx^&pAF$ix{Z4tc*!fi z_%EOCdFWFg{Z+g539F>xk>83c!{8B?#&dW?Y=Vspgj#jB@|hq~9NNS;gjX3fcOdKK zSia{j?towTDv_KXDaB3{>k3tfV9|WWy!ilAbFSbMHDBwFVjazIxv3@N%G}5gMS45! ztGb0$dpD-yo@aE(X8JJdyFo7flW|b@S&j!TwfO{)rPsZbz?4EqR4X^#4T#ESn|34< zo(pSGMoDRtdU{^q&EE6&RBSuqRo5r5v?F*SL0QNQN1K+&?_rCzr}q^)<%%~1QI*dLQez`2H| zh?1JMnsppu@~B{u+`&4R#dML2b9Y4Kibko}r85(NgzEC*n^(859=Q74*UkLE7wqxC zBcJyxKlKCRw^UAnSRg@BS(OsVH7}$Jl_DomtV`>&g5j`%jxv;X+Cn+nZk86hnXHBq z2c_)QkeBZ|=4^(LS!O6#2ryM(rlcm(ln1t7lx4?o2f0j$=9KB2)1ErGK$^ZW_e?Go zk?96!S!_i#tC-e=%*X;>y}*EmdfS`4?S+);VtbtP0~05vZ1fh^(_|#Wy)pPJ-^7W?ZF3*2;rOMdorBh=Kyu-HC*d4*3|$ zW7~CTN?k7JEd>QR5{Yb>9?RHm1d!=kZ0ABdwMq_6v6>5SmeOV+YZk5Bg=elbg;*tw z*Y$Hfl&=rzpG$s0DuO9Tv4|*yqyZ`-=~S1BQE2<<79z{XQ3%n~>;C+6N}=b5xAC60 zNiMW{T683{{4(vOMLunIh&f2|e9qnI0osT`>%vFjKoD6&_5dg-O@UJ8Hg|QVH^qbq zUVgQP^6=KK>97}2@||1TX`r0GX--Z3@cp*la-X+zvL$yOML?(_sR=8<$K3lngO<}N z)Z^b93K6*H>c;gpZoKAA)Vpca_s4VONZq*iq0fBc@h3j`Sjegrp$ef?5v8miTG1AY zh%QtWg=qO|NZ81d8T%DkICSt;)@YW^TUuAYUxGLt8%KDU+`nRsLX- zoNDDE9z2N_#Jmc76&IfM#fiSdeaR=<753En2bsB#4PE8e;~{PGxOCAgr!gdPt3q`_ zRDX(cAwp-R*XaaEEundYtxVUbPv2uy!cPrcrKu6QW@R_mm>FBmXSq`mbe6NBz%S9BZa?T!}PUsHAc@iz% zWnvp=3MCI9C&*opzDk)kS9y?gwo8?3sz>Q=y}b5iRS_>KeA;Ew6hu6XZ~jP2dCZH< zP%8KT?7le8g?#jXrm| z?k01o;(6x>P&;Vb`%0K{Y%YS{_=V6@c=bs*!t>PA8@f29)|@uZ7)yzz8l5P=S|I&m zGNa77@v{I2$ThaxSFe79+_>)rn*G)X$p>EY`R{w|e;0d7WUakJQLajHt~sflk)bQd zrKx2i2*3uKuvj|m4jvLmfVeQ@a*$gmNi;$#At}7u^2#Z$I$UgBrMFQ@$XxBayQDY! zJa=w|n&3nHt?p3B z!wE8C>&!)MipR)|29H3QaT|z;C7sKjiIA0#pO59fyDO0;N3+X${y#j#GjjmD8AqU~ zY{fJwoTEas{|+%v>@{Ed4#{+Ow-A~_u9TY=QQ(xcB`l*f`1uCccuNALg)pOj>+8PuIi=8Z!&|)fCufZW z2eg_$RxY;hXaF*1iMqTSL3Vg5Ed!lIii|FBe^l=CbYUs8Rc~qCA@!G?w7IJ_HPm@a zo|qRDR+{XAQQHbdy|@I?<5(Znp?&o8b^8HO+;E>%f_?`rKy(VKeHO{$Bji}+D5+8w zO+Q4Z&}C``l|o%kFS)sH_kYgv(917l^e?P~WJKJ!_n{{~`S=qb{HdS{b&(}mw~H#d zI8;cAYLUa2brI+aU7-RIgu^ZIz2-Q&;q7i1MOPc*VHwoUX#F5Hvr7NyJu@#{Vt}kZ zy%$?8X8WXE4&}6H#SU|2)*?mY9F7{!zQ8AM<#@|7_mHILwDqlhJS(!^t8&i$MA?#!?cp+>vXA_`?TL@A55GdM?hSu7MrBp{xbLA? zzU*~hAF+P;Hy)!6$`Wo#c1(ngGWer!2Z%vzq#;(Hjnx50R8%d2y&A%%b09%5a|hfJ z45xu!HBFO=StFhFArhicfi4gM6e{~XOiON#+gwV3xA?8KAXB_C;ZRzW@2`}DaawJ4 z9b6a*()iTCgQ;J(=$%?gFYY@hNvCIy38A}MX5w%NV1NN;!aZ;+J6sfX&;nzNw z9J)K_WDcqD*op_S*G(a+k4T;mRiE_+x-qH*9yM0RJGb;)YqPBpaDzFG*3 zSt~0zwU2`ks!-{?N(Z#Fy1Pf>Ux}eA|9sd8^(_DgBFxd8ZU2xit5>}Kc$Y8CgXH}$e(n1n`$5{1%7sAM z?aGsi1lItSD#`@+g(|v073)%CVFNzd2|d4@leLeal=)jH&S7QK95O?yS`}X?DN%W7 zB_)LAo~vD29E$q8nN(<~>j~f8mHTbRjJFfH9O;UXf2r; z6M5Px)O&L-#eIcPnw|?rw>z)V>a(V}lpP|ECRnZG&Qh4$c-~f<&4o@~iK#D;{S5bY zkA0IzKT1tmCI6v!U-@T`;Yls9)3nPiVB@wt@sV2}eBaeQ59)(2{ascj07R@;_rCP= z{>;O#`0|fE{_g9~d}Kt9^T@Ix!~*2QL?@=F*LNe%fOsq^2I~gtO*x68Z1(>;b0F)r zMAm&1FYZY~YBLQ`2$xI~5iEj5%X>KiyVuIDgm52Ju;OYpQoRx?@LY4t1eN?e)0Q$^ z?3hlnT9&yETXL2+t5!2mkvx)#K!>GAb|Own- zT49{gr>vBVR4!WCj6=q2>OhVls?ZJS=|ZRvOOMSWY*D_2sohrGi^bx~Tl3N;ry^X+ za>NNOu~L#=wBOXu zH`#>?oA-Utg~~Bj*W9a)90z~iX#1i_GzjIb`V80{o~j4tILa~ac#dlo=RKr}GY%u) z@++cUxyj39l-uTjx(E0zSs6|CtHEoD-#TH3+Jo~!o8g5KaXrS>_T=rye;ID;Bac2K z(_{`)M2P5%9{IdizWy6-KlQ{X9)A}iyCg(}0Rxm4d{ySZyYy{>Ytj)*ghY~nW>9VN zXJXoRun4J-JiI9<;WP(3b0FFmT(%60X~GW6QL2v3)QEW)yNP7`zsC)*ucA^SL_m0} zcWIoIV?0;+j5np4-WktP{E0Leq}NWlAK99{_l)h{gPzo*0Z{jKAS-((O16h@cF&KvEF{7T>J;QoDc626}te1dw260W{}DdEFD4GIRj+Sw1&JD;PPKi zLS`PTR5cNHktZQZQR*afv?G2O5$z78bp0>sP!D;Cv^MLAMb(ld9qs9QMew9%iX_QQ zNS>90D4angc2%zQytQ?oFEUR;Tco7s$>SZBms0YHC`B(NDUkd+WZ}3zz2b}I<^#`` z(E0*7Qj@>`;YZ)|Z@-^@OXW%!Ie5xdMZm>Fw1!qlQHsvu4k`#{11+GN1h<|tl_3P8 zy4iXbkT8!xD+^UpvO4T!afv{9_z2HdV-AN$z|vYyO~jM=7BRVQ5fMe~E~Z?}OkRi8 zJJkdZXxY~716m23ynYwJTDuAy*mQC5K1yE0b{lcwl0tbg$AiB6)nN@jC z>ZaLf(2$|K*iElW^J=3wPG)$fS)r7Iql65P3{%dp|R zZoOL`4%Fy5kTjZW+k9;L$@iZ>{#)xqFP9tlJ=+qUzjV5B|0}-u-+$ndFZjs&-?`oT zv(E32v0J{gu1EvU7la>RxG&YMLKhZ?aCP0x#8_D2zcR%oGD(wDxjPzt(=4r zvq!E}70}woRpoO!ml0s*Is}3`k)4g73?xTcc0esVr6<(D6)-?iES0>mte#*1x;vls z*RxZ>7O|3sL+`%4U;x>LJm|p6ZvUKVucW3P8r}M!uAlXM>e0H($o|ej)L`Zbd6pBc zo34>8FIpRGY#pzsASEdfado=7|K>WL_!u5~`E$?RAL~If++Xy_=RNurf9*q${iDrq z3GWf9PNyo1@Y-F6ZybwIb*$Ihc|G68d4(>xTCuLME7(9-5&lRxVd+D3anEji0!OIA zHMd`gcR_tEutN)(TohRWKJ8<3hJ}Z_GA+3*wxF}_Ai|xD-UmWYZJVOuo_FSf_MLQ( zqbR!&dE*gTbth$iL?}HGE)gOs7?^*cxgrcygX}1WXO*mNY3AVo#U`;P(p@AdCm(zN z`PAIA;b4l7K>{3MlvKa6&wx&vY0J9O%48a(lbpQ;cSRn=| z-9i{Zdbt9|y}NyGhAc0gTSltgMu4!`;XTSgML;&+KKbPDeAWkk@e`l=;ETTe8?PRH z!*dp5Ci&Vo{?(T}`jzkazy99izwpmsBeJJf+=>_)H`3k>3Hli#5lci+T;)vO8@$hO z1wc8Z{Lk*LA;EB=i)ajYQHf=Br<%J*m@c+@S7bgJY`_M_3Cjx22;9L@DGJ>%1ltB3 zunog%WXjG>p)qwS!o7zP`$y<=rN<02Mgnxhr0V=t$`^aJ)#CHn7v`v;l%IOPLMk18 zH2+KfhD>+NTM)nq1Xj``DYQU@1}!2P zVBUrJEdr=Ui&hVjO$MrFKn{oYnF%vSYD7{(HxH@Kt%Xb)u*OBJjaGAJb$wbCj?Nc2 z^ed>wkDzsqknUP!AZP?Ku{5yd3{~s9Ffd)OU=>cuc6Y+rD5oH>7=YNjLVoNSR^V;D+st&0uG@;cij3Kv`)(SXqtJAncD~y1m2OxsCJ8PrMN6d?~6p?lj zHY7FJb@e6by)d=aUGdK>fjXHvL1>Zy0Ih~nW$Urnr?GFF{6!IWue^|Sr~#l$89LcJ z#wps-i1_5KCvI#T{@?%Y-cP*$p4Wf9+`Rue7wmlxz4Gh6^?Tp-W8d|QKl+{a)JNQ* zDuLngl*%c%0uVu%i$oyfXCd<2A_KT@*bNtz;38XuszgL+Xov$Iu^@XQEU_R{23&oZ z+G$zBP2FT2@PWl~8dy)jimK5hSXjlnk^|*Tc+lC=TD@K z={xKRc5|f>2tJLI)QPeua8({~)K_B9SZ^(TSK$K_BQ6KKI=CmS0I>Tv zfJ1xJ-}QKIc(d@8+#*dDSO5|TXjNnDAtB5|t06Ls1VZZy`NeE`P`B)yorQs5c1Fz; zEITp>s|{4zNp-=7s~`yLMpL;-^9HQC%4N!HA{(v+0)qOGBM3yaE!RfW$I*FdJuFxx7t=Lw` zhK$1#m~Gc2`MX)`swB62%jEWLfUNQm8Q5dPK`n{eNo;#RA-*t;nm+Vt*MkoE@(=##j2XMCyA zq6eW7p+rVI532ugW~{a}nQ3pxILC3VdB+{{QTn5c)#!jkYH7$OttH|5A*`BA9YtQ@ zY|G94vJ=Q_^meN@rpv=i!)So77DXl5jV`j@_mN+`z1_O{s{iH^9&icu2u}_j%G3c_DX8vv$H>zhB)Y74YTGxq|O69!DEGJ?oR7;&zRzd(hJS*$$HK z_LA3p<=21P_rL4^`5)i+j{nu4`Y@=7h}a+lxCv^A!4Y(oNbg|CQ28BVi@4Y0ri-4? z+&k%TtxC3rw{V4r*s`rkk8p%NWxo1Y-PCLuhAV>)_!ZU#>WHPtlbY=g6tck1W!rIs z4~z{K-4HWM%__V2U_Z^~n%QXdFhTj}6ire&{UW{Oq|K6|dvw61(XlPO)|CXIQJp~x z3(BJg1eV=Oulpz;O+W=PRlx3>T`Jn$5$o=vTQ^`4s}P9IlUiM!q5#4}Wp0%c1o^3C zG$Q>Fwcywf2n3xK?#iTekBr9cDG^gG^_ZE_6MGuE2%qG!*<=<~o?B{fUM^_XlTX)i zl7$K^4+?fVVd@vBUb!onbt!G<&s0490G#!HOck4b@u;9?LzV6i+uBp*Erds@t^z6D z?N11{rD(nX;YVNl#=ridpZ*?;n;J=~wGo^8dC_b4bu$rJwsBUG>t$W97g@6>q?V&n z04%Tp-{4X4*i5I2J!~M8I-CgS{Xg-kc;=Zv7VvN=VFDGnz(uNXf2tZxD^18@ZY3{L zkwnUZ_UH8f&y9L;$h0X_;<~f<%694CdRs(nSzopp%l!yw^jcvPK=zO@tATc>hX>l) ziuugc=|Yz_&NwM{Tu5*B6S}SeNMJe?1EfSHR~*!JmSnuclspQrvK~@6)TaV?nyoVc z&0hZ+Jx4XWp7WjfmSM({FujQa%EEq$un70?B%Q1$=P^a^cRNHh+?T6+-}smR-XpL5 zs$clg@BG-Wy?ux)Ru5{3iY(cu3xHE48_m<*D7OUH#C_rSoa2TtLc)=?rp!Y_KygX5 z6NSLUb-25$I$|-i)8b)cb;G*A2DU4l9PT(RPz3}k<+R*bZi(%TZG%TwG)<}#+uPem z3gxMpr6l)*Mm1OOK6z7-o>YlI;6gC=pVf>z_SZF}xmdj9wznNwTca%axk1a0&#+wj zKiBX9hOUiEESc|<1ed4tn*-=zV!KP{W&lR>iT_66*+ zT%<9wyz{|EQydD|)lA4-$H(jzFY zz!l|2akHVkre2xpkh9uqHpX^+t;@~pYh0bME&!n`K&%D?1}dT;%z{W|z_HUs8(>O; zq#5T`^A_+aubXuy5P?@cQl|@$l`I&rG9eu4$_{QB*a;vq#8FS_z0bWRLRx&O(>a)= z^Wu+Z+#J>aEjKFbnVD$ff_X73ZSdA zFB9It9h|x;GOGS9FWxR+3mcHwClGkHb=jP>zn*dR001BWNkl;P={RC0Tkw?$OF0xyjtFO1+JZWE4>!b>La|3MeM?P{#C%q-d_MB zgwGSaRVrVe%4la@J+dUhIqyJ#z(QuVEk{V|gUr@v75A({x3xdH03KKbp1?+c^dJ}u zD(_)`=7ZVNgHt_rLfxFMq>-@{z~> zvAHSDBP1dshHtCf4y@)j?0h!SP0xB-&$pJ_3zii(uCS~i;ev2n3*fL?jmdaNFRC)t zrUy6-CZItSW)OkNK6n|Hb1#Hj1SZ9~BoMUl-cjj}bLVl*WZpn|!H`Zu>?;pAcvRYJ z(cqWcr{r=8>wpk~Jz^IHiluc`JcH=MBYg%VYO6-S*(RZs|J)HyYSnq^f--VJqn)5z>Dd=YMGcG#`bfzu#2)3d)OVJfruF# zA}B5%L7@>+^deFGUUm&h>Jo1EJn+a{zVX{%@~SU;_m6$o?>zpP@do1tz;F#L9*b5k zkT}Icgt7=J5IACUM#K`qMM6Y|MIac02#7?ua}i{BxMgt@*HA~8$Le8=uR2V8z)n~; zoUY(&QKe)ifD=Lt#r5r^q5%LMV?a}Z>uExdLDFNVeqY0WfH%yOfiy%S&|Xh0t#;@E zjxKCI)EbyLCw)S+0LvHbABuTnedg}`FJE0r;pYq9s*zQ|83Jj@1xl)y{gfU6nQW@O zNtU9(%#Fjo{xdlz!>(;bKq4Ma$&qbNLHNEeb-StCTL zDp*d?KS|abrUCcWf9JP;?yc*#ttyBSuqyQ6=a6d~VzP}*Z_A?Nyq%Zj`Wkv0S1V46 zK@3(Wft~!E=}x=$0x}J;3}i}0;AC&RRlNVMa+FLHZR<@HX2NjK^xhKFLO9$bOSZ!* zhpE?tC!-`f_>}f~QY4Etm^YWVzLQ4^Xp!n*TYfoW(`%iIS24KK{6u)V)7gar2sCr< z;NB>=d2;VFXiZd<8Xj2EaUx7-W;;1ciOgXFbA=P=`iIi*$Sfh#t`}h6GkMy4^gCa* z6kAYSp?dpBktf@I#uMvkgFVvS(Gus2x{^;f-r0$5G7eD&yH-7VP{eRzgdpyV`L=a&j zYru$WM@8V&#(7-xtjls*murlBaCHI<1UA`ee!UXlZA_&366K$ioceCN1-3`5LO*e^ z;kbJ&Mc|geBS8ztPPE|WCjAdHOsIi0bhh|0og@a+X(91w;>cBds9*x2e`ew1bb z=8m6~;{(){PP@0;IVzZ7U=T|?oO4q4n)*FQ(ZQUGo(2N2VxkwfjfAJ+O^M{S5(qd& z6;~(Vv=>hMJs#PnBHSN%@oV1n4gcLs9)0uA|H$9J{?xA;t`@rcnYehY7CJjMySw4Bf>*vLDfD<5RS9P5^mz^3inWVAB&rs$#9$o{DhOi4AvPh zLZoXa$6mBbwz74&RO5EZ(F2Y{%;}(C9YBj%Vs{ZwBMb+8nzATAO6i;cwjMw%iY~X#< zqLdm$k3-1rPDw&@C@=vp!W|T;iW^W^1eO)+3C9q~pO7QP%IE*-Z+-t`|HQ|&@IGX1 z7SCwI8M3*F>1JcuL{+xy?OJcE*!`e_QTeT@Q65#rS`-8c&)!B}2$y5)0e1*6JZTJA z4lE8KLa->@AqsUk#fg9yi=oNx3^X+v#o#Ohjz||@cw|}I$_8)1D}Q79;P*l!aG|8N zWC(O@NqV6l73_kzWZO46EmxWZB2g+jUYDn3F{>^!mGJ^Yr=6Gor9e`XITCw>4LL%b z`4ud+f?Z8x{>dhw0-!<%?rY>VFX2)L^(!U#xs zgeKXXU;OQ@UY%n)4^jcVF| z^P}S}m9*Twab@L~L+^RA-mqNNZ_H@qac%5Q_W2wKc)M^!@bC5xqYp>UD2Y6a| zAyG@j!?n!2zJ+kCC!B6T)@OL?7xs}7_P&Q+^~x{*s~>#q`#esY-4s~?y%Gl@xOS{# zjD?%pV&lAR>n3tF22>EzLG0v-9PR1diC@M?P#DE&t^^&VZy3{EiCJ5Nwg0*Q>qUC) z8bT2UI++x3B{l@SN(^R%*pm9w$*Q}nz2kEM_@SCu-nhZg=2X@Sk0Y02KT_WdWZb&a z2TN9YVoVknIi^5@g23zijJWMXSHJ76-;VQd*U!fZ=Bf*rM2ICkAnsTMAq==v1Xv>6T?SmqAwx_h zvQti|h;;uP(nDj3h;R)>_-%K!;pVF?G6Jh(7#726fv-5N6^a8OIV@Jbik!H8E{+49 zf+U3!TJ!;H8!$=UUj)acYrUsx#a$FV+5er0kUL@5cv|~E0vj*IrefdP(=R>aMt5=C z1-z|m4@w8DcjM%MSjRQWKL6r`XS(=~Jx@EMK8h}Biq;p7UwOtu4n9r*2mb3F06A|i z$s@Cb*M!dtDf3JSJuhWRNlrDVRhqhgbgcmF>tpJnbI>r6uXb{gYrQvies^7Qy807^ zYx|LR{RMyKzj*xTept7sLU=X`SJ(n#jZJXvzF3UShRC*z^R>v;W}t#r_EI=()a9lV z4DG5SDsinwK7$(39ktW?t_CYYQaPHKdw{R+mqS z%5hCQN|4+TSg|Fiu2X7kV##qA$lUx>5;b8!QxSqAWI9lgc{TvsyX2WZ6yk^^&!qdL z!_~#`GH?aQ?i->|q-dLPK(go=4huDh{U~MT04mGDJ4q-i?Vp_XABsQ6;~s2dZpyMm zcyHospm=*W0|}RKv2amQ#nlzKK3~f?k7d32`EU7KpZ&_O__=@a-+uIc z|C+K!gd>Sbu3W>-Wf5N>nSCOaJeT#-Lc?k44r7EDt;SteEeAIxZKoDAVrzH0*i2rLE?qwy)HW|~dAIZ+7|yVPRqS-WgU!B{CvXfaCw7*X{P zv-ZHzOgwnu>)+nBm^-*jWE^b4xttpamMK@CFL*m$?F;eg*W6Jk&EK6nkcTJAz`l_xm1x^wn?rmJhz;`#i2B z&K`?7uk9+pRV=WbhX7|4J&!FQurp%73~pJ7%WV|NaQe-1n4(Za5bo)x3{b@kAS^k9 zRsvsH>oy1#K(Pi~pbB@mWGMjwjlp0#9v9)Lz!wDcOlRvV3|%%JmB>*FVdZ{gepfP* z@*2W$#}>(Dua%Y^?5xM^qCP6&0Zry3B3q74i6oF9yJkYBB3Rymb;SekW+ai-Z3Wj5 zp=DJ4=Jlrb#E^kOfy);EkC8_&gpDe(o3l*}wIJ?|u9K{GK2G4s1^X zH&G4UHWhV8NT>_wA?Yzx34urjh=Vr2~n~O@UE8RrY&D=D6 zbz9w*VOUq#z~;E`CR94z(=fIgx0;p(M0w-qk?#7=lf)p&;z9?#qWhU#ex4f?Yt&D-^Fnk@OE`|z_59Xmqyvs1^on-L$*RA zb=(Opd4);fpQa)9A-&T^JRWzFkB>hGph=wbPVTU9k56}@L|^=He{_iS9Kj5iS>k?J zQhCCizRE*1E|*tfUfCS`45$geB;cKFY+c6zKy~gb%oD(kvlCi?&?wT2 zf#Ghw6mmufP*su+#@eo87wJF$Ez8gVMn%H9j#nhGRjilr?uG)oPc^wX2#%z+!yLuj znIl}u6$y9>IJ*O^X` zQB|}jvuwKsBOf{{Ky~v5?DTZi^?5mDIlb=B|J{dQ`KF)$m*4)x2i_H_(D;(>TZwQk zWgQ2|2&hCLdmfizEP;&mGBAV@2%!oT65@zZ4Z!2PEK4QSL@su7yHZmhGFDtU{HjHh zV+@#;cXtNsb(y!a3$BPPMPHt$XlFqj(%SZw*I`l4rvi}fN(Th$=mp*1xV*^jyXtqR ztc(4R9XN|^bTm}%N>jNDc++*qkCORQ^dIfHhKeH+K(Jn>zZ|)eM;geCT1}Id6AteP z?Dfyx$$^~8#o@gQ=JD|QaPssDUEEI}dD~sI`tU&`%?yvAbCs#xR35I8;U95?Y{wwWy(i1Qia3>$FA`RrpeA6c1L2od!X z%0yK<_S*UmA;sx1AKMvKvnNB&!xg zui^3@lID^1dL+VoN-C!10niv#=@fZ;yJjyB|Cmycc9|LhN`-F8SgU7T12&Z5!eELa3tx{!C;SWc2uyVD4jtkkuH1nEf1$#AF= z?qTjr)~fXIHEc0kbDS&Q>o6ZSBq&K9UVHQwh3G*pvEDxzEM;$Ht5u*QF9ZOKLk7xm z6fkT0Afjps&A{zZGn;64Au10igO}&{K?vtl+|^Xx4Yg$1BOLo8F1_(EKsW%*0srKH zQph`=d9`^=uIi;#cV`HZ{q=)wca-aeG{-NtzKJ%rRJ$ha;iu!`7jmiXypnpNk{}n? z1W{2KT*BBfxBuu}obS&<-Hl=S`UrkR=e`|6>k*Iz@OQuG6F>JcoMc!qi`>I2Zz`B| zS|Mb>%?2e4(RNiNU9zf-kcX9+YFYz>jbX!V8{64zb03++^^Je&Ew6t0BfuZXv6No$*-}u>odNl^HL}b~GfnWs5)qR+6W(x=(XSscb8xZgTcehN9btBbXL_(CJ$o6eu zkcBOQ11jdX%c3oe>s@^$>AZT+b~x}D{Sl(H#c-F zqfDrpc0-iwyfrzET^Y&3-&5&vbk(^C17tcZNxB3859>8#BH438IYVoRPB^fHx@>im zg%`pQv!DrBNJdmOva09ljLdCwW(J+qX-PxR%$?nlC7?hY8^Hz3)IpaDhkG(q1>*HU zL|ci3q|nqd=?qwid_qdPUrP$B?GBHEIt6CaoWPh)OT%)7FKl;`0`SI_({^+j)OP1qygmBG8jsTepL4*v7(HF1@8X%ZjiaC%)nL|YsBI+=B zM5sDs$-NtH;U4On3`DFpiZ*%PFgCNzj7pQm#0}wC9HtOGxE*rM`Yzw*M-}a^&Meql z3&(B@OdBlEKiWA3YzNsmeE=T2WZus_xJi3+wd#Lq-aK#crpwGA1CFVh)2>3wfa+(8 zK7j`=&Cz~J6=0{-Kg|ThfjK#UF)mLDR<_OT@KElNr(G)ln{{iHhhmem-x79^I=E5~ z7um-*ANFuJS@vRHRs@?vnrR|!DW&$Gs+vdD)0=uz9=i>fmpXDRqckZI+>l>>@2~yy zpZ)m?4(TOy`Mu+v=ARZ|5EO!n`r7p-i74>NQ*FD_ExPATP6QB9ilTUo=_ES$> zU*8(%^B8B6wmtE8|I5GT{s(HKn%}+mp;x}@joQ&R%baEeu9!{)qfKW<)*H#ISx{%_O2UevpXC^ZbeY;# z>9gre>TQvVHU#;BWcs-nLc2k>&>7MRbJbwnC@dBv6TpZz=0KMano*RIX>i7HX1N}b z+%=T0w!-R3=28pFwfN`>W+G6**+HpfWDqJ{7g1nYJ|+Og0LWdQP8E4Z?km1C*{jiO zf4-^kfD6_Wu2x*nY|%fIqpF;{z5Mmx^zbX*_{%@`9Up%8KUW)01$@M|aE&m`APEsc zsg#$VYl+lFh1u$q;;^diEs@Sj20~rJ#VvewfxCN_&A>XgQrFBpY_s9vLe-GP#_Ep6 zs*cw@(utLtfy_ac3VB8s@dDc1Zhz86D5{x0Q~0ANC=Swc%AANx@g6`ki72}(wcMKq zV9%k%rJL>9kGp`kc_DvBY`X*`bR^>fYY#v;=^kYQwz4o!mgDsgw$;Vbl>M&QBca-j z)N-u%0*>|Ds-3A;*&KlGI!NNK%wOaeWLYs z#_lH#?ki^cV6)H}4<7;hi0OKL{p80#_0hOz@uNP0eesa<4_oFm$P57put2Krij;wo zKSQ%|>-LjRJn_lj`NT(VJ^AUeodJqSgunG){p5fCH^2G5dvD?ob|f-A`jvm+W$ z)+%3kBsf8Wj_Ji?W?IkE$VL3D;;!9CCZG>!4`3-F)!nU;bCV<2N6D^RK=Ad+d|H zVOYS`Vnel6@@P{sz-$b(u*52y8MFMB@oK) zhyozQxV!>dq)+>=Fb_Le0MA=dE^M}Q<-H4nVOm#nwao{pd8;GZ{M?y@Y5lZfCjDl_ z;eyA@#s$tfA+~>dG^>&hWbL&`yJbPeS96GSJHcVV8vPXc^@GJ-?{`Rcr=`SRK%p~r zcLd6>RakXmSd-M*SJ+F(?%|d8w4m*|=o9+SjG}uWjF8j1>axrLTX7ydS%YaFuqkxb z`S!VQL=ee#kDzp0uANLJy6EY&-dImJZ{L2>w~YaF7vTp!^zk46H$VLifAMR~O!cl- z*fSpK%(?fWSG?jYzU8Cu_{UqE6c%u1kSl$ZVZ#jI7-wwfbf#gP5oR&qF_Xy%msmDW zR}`6i#E3}3MYvf2+=Obfa9{|;VFsD?il&D^usA|mSUc$MRRF~)hMWQ>R9Mm`ITsEw z9XeGEfZ@TchE>XlbVG>zy`*wti>hlm3o)~?4e&}Y=j>dX$#wxGu%QdJb)c5@JHa8oJU5Rw*{h z$ds%N%mie19Sy^N|jn+snoTd>k|fAU&J{MRpJQL$%)Kkwv^n zzVZ#<^59GV)UUk#dp`2+w=Q8^?m<{qYM4D&0s~x@$jaH(J0bgk)#PSLDC79zs|cx}211c1@yX6RScjDyvGxY&BT3Dzx1XS-iRQ07MEv5!41@F7Ug_ z^SBFm^8ueW8DX&}q7j!V(s!72-O^xs7w<6UeD3sl0bns3InrA|QdRciahN0ALA-q{F2e5ri_E+Peu*1=0cUVyG~5xnz&@ zwFYME#PW26cjw#u$H_wo83df9Vbm@qB>M~#$-W7W^0JA5MgmkKC`RV!rcvhcex1#kN{je}n+O3{oz z=!(7jql|<-dFTKa!_DdgcuP@K8udRKsx$1IpwlSp8v`J#>gb z7(~m+VgND177r^u)ig9+kRUNe{shL@d^59N6+x$qxi6;O9}o@s;bzuT28yh}7O+~3 zB+zOQ5MGXhJhzi(N3u zB^7gik_Pj|Pv?y8U&U@zx3TDLhWhpl@wxenAlxyv_sN8eLn3+H@g^=b%|Meg9p2Q+ zJYhNkyvsL)V{Ev6?QYFoN|r+x6=tGZM5<99ArL1~fyvzEOpjCq!>aRG%p^l91dA@~ zvaC1O)7AB@r$V-HCnek;d*?6y(tCgX3qSwW&lZ7umatqr)8BF9fzSP%FZ~Zb`Lo|| z;nKu7CgUw@VTEsF!*)(-ZgzGXQSDAr4Wx&OmvP!{6`9*7<(^Uiy4x_J*y015LL4^A zC&tFMbg3=bSb&gpzJ(*iX+VbktBY~wboYwHtSwnFh_C>d)WfiD_GY|go?SOOn@AWmV)1Zt9he#F*jJof_>XL;bB#Qi! zWIf4*r$96g#i)j|HCNT+Qgm6D)3RQv=m3!Y(3R)&_SS##wlDf`9{oLviaSr9`p)Nl z_22%tzxYGE-oVA&C`&{ZP)`{a7UtWQm9EAZ=EHp^LqMt{S|UO9AO)%rRr*zOktk?^ zC4G{f*rpX=s2pSf+_ShmlLXY=ys0>8F(p~UqjIhd-E!2!>%k(rdR8`UE;Nd|Kv8*$ zsSgWi1cchkJQ4dUN|c0yO;IU?3kM2f9rbBcT&<1BN`~V^J!G3aikG`OSk=9TlaK*W zL=i|fxVRXNqzMufr{)eBOa~W@G?xA@Bq&OzVJF$Au*sSEX<2M(z!5vzZEZuNVUH~F z!edDk^j4A!ow&DJ@4f&9*IN--{%8*oO&|1&UiKwl@>l+c54`h-e*JC#6SmusY_=M~ z69T|ySQR9KQd90oUOq=ph(q}^RQxJx&t&*A0w;!jigP+5QKTwg^OWMF+I4n zR$v3F-8gcUi;|X_Q7vcWEF?PRN7`m|wR82)PU7x@&lA#>X)hY%@!J4&nAAKk-v4O96^h zJKJQYi)cg$Neo#Z-d^&zZ@mAz14apkQ4~zmqejMTO9f-|5$@B~t5lB^xshm|G#QGt zgv}Qvk8`ECySTv>NtH&2yXP`SG9U(&Fbc)PvaqB(1L3TCUC8DDo$+n?{^SQBG76W- zShSadx}sa=7ZonV2535|ny59s1OeYmSf)`GksOq{EVJfFF=Fd+g1!E`#`9FbN=~s? zO%W{NAj7N;2^l>cIgAd5r>$Z4QW+tI-o_^eT>_%1NMq1 zNyzM&Py-%nRHEIO`Kj&!9U#eNto-it?QF09$8hAFxu0%6_~@Vhwg+GSW$*dF|NHZY z-ZkO`Ux7_T(^X;R@!1vh@~BEGov9^L=#rhjI!Qke$vhU{%(j#jX2X4$yLkjMwFFgX zE^jQtD-^^06i7`?y!?%EsrSpM8w-G5&Vzz6)LP;o8YB{$6CgX4X1`hw584(l{hI(Y zD3^hAG)q_s@l@o(?}!II%W*gGcKaE$p51<8|9N@L(Au3}$s;bKaru=l&46eQODog} zoTm-@H0<0CkXa0${de}$5~BEY^xA)!%2;r>kW-sV=G%mZOE; zG^QWB3m!(Ku*OSYMygAsxLfd{W!atzYv%K5?~A-fH@|j~~GK@^ReB0#sB=B|L=d2_+fXr&P|*%Pz_F?Dw+3M z%pnyihbELDx^WsZgXK9N&a(|0cb|-j$iS_6SPW+)9S6fLXOpb!S9YfxvT>kV9%#Rd z-8xR!nOX{ViCsHY`NYAqNPSqYPz`*l%E@%{n;6Lxn=xg-vMBbKto&bm{ABaC@7LDo zz`@Uub)VW>+V_df#x+G-R8NK(IDJ_EB+~4aC7PX1s@HUC=*jcv&k(TPH#xH(`;`ln zKd{rYJ$quTpZ@i9xlhdAx};Nxb{M>~-_sq5qKTAiyU<}7i0VU_U8D+%3<8XuK=qp9 z_V9>D@wqoVpk|2ZrX<}|f*p&nHbM!{f~?gvW(@}E5H}(wWTZh-Rkg8=ZEP1C!*^u_ zl?sjNzyG`c@)Mu{mvSK^Ocb`e!oEBOk6&|~*Wz^Tllw;)s;Vj`+=s^o-N5wiUKO;uG*M+FU)@6ozn zR(=Aihyjo8ks$?|F`x!|Rl+f}#`YGke<3LjF(4|Gu6D}WgG1}gr&x6Q1WRdjk=#n! zra%s3@}<{!x7sLiVcB1_@I~eSP>3fP)f((cN}+(ohAz^LtW`cqWC?Q;YgAbYyN>? zzb^IZVJ7g-`*{E1AOD}f_0oq5GhLVqWMw!hP|0>K*|!CCp3+DWLeBMlX}j~w0zLB? zXfokKZ__3fu$|Vz#uoGMeen8cKK;Z0^<(n?M7);9N`xYu5km(62Ewu_qjV!uf+Nb= z0VG)CHWd}##qKj9ANPHa%=t31j}MS({0_h}b)B*o1%Ef)H&?C#{gZ}dw^dDef~~oE zxa*7lASYiQCv6}Er4c^%Y>GfTe~|8~ipHRprIo+%X+Q4qlg-=QuiiO^eE7M|YoCb3 z6mVkgYK^4o6OFSKJYH5yam0bL9Ix|o^b^uE1d@SM0=?M6r;lA9&VE4=0Wv+am?*`@ zMP73$pU8&&f5{@QlXHsRmbZ9%EWda$Q6dXj+Vqr3JJ~kp@eJ3`?4Ln~UvCe0kD!OZ zmS?1c!Rt!A}2wbFa%K* z0uZ=I+L0R3?3(<&)bZKM2oSLXy%Zv<2DQrT6y#MqR6fU?)oL;oV+f!S!ywp$yhC$> zT(GkI3d~G45H3(Csx)uODB1$CSvd5pF%Y8s)U5uOs^BQcC|U3=f5E6eAH@e*Xpjno zus$-&x)QKz(8boPhizLB3CeDE!;JD)88w^^x#)-mX@{1UMa5egX%T<~Ad**v{Lwn< zQX->Z0m|n20gtCaP!SQ`i)(O%Xwq?BzRVzd^@m!h=5m719@J6`+#>Yl%lV++`~LQU z>#F2GPV-qj&w2-i#(VbfnYYL52e-$U*W1JGcAfj9`^?0zH1WNz5^0O`c10yC3I!`F zC2zFP#3z6Alb`<5C*M{b5fIIpPn=Qn@-&dBZx(=yAmB<-SO5kB8XB4w4glyr^Dpjm zx_dZkvaYiPq0k`IudN1IipfuQDDTO65@_}!J!$ZdoFkZAiKh5G!RPYWJc%p>C{lb* zSFHBSl9P*hT!XGU^1d?rOEmLe^7zT-?Y3V7*gGsuOYTx}=!e8({r(p{_cOcj3CXee z+$E8ReJUrE&+C5D23?Y6vocr)aXI)E!WSp?!XX+x?-mV3BIxQ9o0 zMAVmRNCGdlcp~RZ>>rf#U3~0Y@^^kEz8*R43Nexj3?Zw}unL@$oH_3%VR%X^k5{+^k%Q#ANE893qi+i4g^0=CF12 zKsfEFEtBi%q3IK0F3~Z;^lpC=%Ofs_1c&T5;wfBBpM*I9u3jJ_Qhiq>3*5S5vzXA? zQu#;?7V5F0L7*g+DKegpA|%Tsa-*alNs@k^USH-UH9BkB|E$yAV@y%@(_=k>bPYtfh{1`KAWDV379= z-}kG}+v5lCJ-&SJ@!|csU)PPMGb+FunR+-nr|-#I`a1OAf8(?N=qu0u_UFF$`g3>Q zF(;RcIMup1B)~knpaBu02?`cmNkFKJOI%f+ba!G#Y7|Dh(9!O7K7~boi$V%=;)Hfk zS|_8T)V`$!-B}mFL>BHX`2Db8$0I`vmE)LI9GO$;LDzv5$`e zPTp{`Wu89Z6Ns;@T<6Z3Gp$_%eI_&Z4G5T(Gz3k6S(qp zU1x^_4bo6V^Deq3`DvQ1iT3%I3P9IN%dxd5Qro(B9wB^wa9&^MZM8-KHg?TU-sXQm z&rwhy$vx%LnSo_6KzPjkcE!~qgnX9gh$JFw16o(CLzU2fk8Nf|_uNgB-zY;l3}oiF zBFLG*jOsSVwq5SVw(a|H@62&v58g*Wgq-0XbC0>xCp%3j!X8>zmy#EoPI)VG=|4Su zTYvTQ@!PM&wSXK~-da2i^Dga;9Qxkze>u@(zgCwoUI(<*0tE$pV<&ie8 z5(a7I0g#X6v)kjtLoW0(GRZ@XLu*tARupnp@{qqtHZizE)uz(W0j}qdCZkI33?t?d%w+(VK!PuEWZI;}{g9N=VdLXM#+rCq8_PEh8ss2^*UATmrM=yZYEHZK0``Lowr2Fg$jMID;`Ox+N6h%vc~9CLR903_fNSX2&ymUFWtw5kAF@MiK5&-K!OXu(b6$%FA2FW488#EveY&CA7Ok-B~t{RF~`W1r(fa~?~rkO+Q zK<$)JC`=gb#V$j|!aRfuRTGm+=nmbsF}88hZ5!M6@bdlJ;|B@qnjoB+1V2#yIG~Of_x{hmbN|h^KK~EC`omxQ`L{lH|9FcFK~qd}a6_3|stlo|*Bv=tfksWB zCi1K^!i4}C)5A$m!^YGXU4fK0yY3i;F)c{2G?%wX#7PIU_(uX@7AGZ^0?D7M;P%uJ zIE5`L>Qs;FtKIrZkP|s#d47$hi;(cHf2#V9MXLC*kB<<&#oiUfrTbGB4l}!elP6^Z zeTiU5kF)B2khe@ZRNKe0M*VMB?Ev1CrgI>wClhpVGmqdZKcw)LQ#&s?uDPFbtgS^f z=zRLdM26}xtQaHlv=GAq$d`rAkmB^N0}rns^|6F`m3MgZ@tQIF+K?m zk|vo^%%&u823alE0+w3R6bRV`n}SJFS9Q9Eh^ppnu;uQhZL@Jo@Z`!x?@kw2i6$Rn z1%DAy0hIue6DhHV-56xA$=!k!k91R{dY#0I5hwsv;KhVVOUFuZkw$uB^emmxQd}Wi zp2)7AsLZaEQ)`|Ck5BGLV3T}b*i5frvf>)7KZ)0&ylWT z^IK1fV>zlPqqjVO7Mo?W+{UD}8m>I}SLR_>)VJPx{$GCiM_>M__aAtlf;|I6wj_{tAyMUsf`quza`(v) zFgR1Xb`LTuM6(b(w`q-@=i!FOvS~{-W_e>NhYH);>J(yj)^k;ODsfs|m!)43r-cqk z9_Khc-L4)L8i%S}A70K~o;x7yud3(d-1m~pj8aR*S0Bn?ro1bfQ}6h(`vzzMyJ&$f zi@|a>B>I?0*ZZ8!!xI^-Ck{9=n*&z&h$zBIL&z|QtFJ?yx9UfEjHGX3kXyAxB1ASp zWS>*ila(`QJkteET3cCXWL|J)iS2Ry8Oqg@&QyFIqgK^XBJ$NrsY8t@oC+x9s{TWA zhVS!c07Q-4$?SYz^y=)(#g*7*=947VSixOE0;XwnR8Jg;3M~Wx$1w4j;i{sxZFl!$ zTy`1s9f^zx_6T=Tb)VDro6ou5Zrf#_?&cn9A|kZ%6ie$BmM?OiFee0!@vgk~E%}XK z<=07fs&HhPSyM{{;S3LkO2QQyARMLyEC8qu=0F-TQH^YtX>b<%e<^5@YAm~$CfS>G ziCfM-6@&H!I1w}eK%oTAiMQ4MA0d*Ra3S5vgkF75LJ03jPFm9}u>hI8i4?Z!A&TnL zRL7_K2o$7Uz(avH<@^<<1j%fmlu$^YrBY!}7*Wh?s2IQd1d4Q;rH=UV<~%;ybZ?TG zEO()mLsqU=!62zKsp)u%iWiP!=>yGJ?k7B(geA)$3E1b>Kv<(?)loe`fkKa~W)FhM z#@n{f>-Dxpcpo~XC}v;QO2lE2cGgSEi$J?1`Cn7RkPGfbb*OFIxNO_Qdu z;~*TcKn&3&tXU4MqB9(#!3cKrR#;I6Xhok)!9ne9j$l_HyqiXLi+*+oKQz`~shQ4( zB(h#MFAj0a)vRu|rG)A`TaeJ%k)`R0S)GFW1?P}aAe4+#k3zj4`}hdvEoNR}3YO!r zSox?_S?YQqu?RF1e!bq$19MW`Q{A3n#5@nu?rDDLDWA4@k6p%-@%D-0!v1fXdhc4H zlhsV`a7DMV{v{x|efX6J=n=xk$!h# z10)6X#23iv`|cK=@PJmFC+H?{30$1aM#XR-GLi`aMYV=U=b=ppEu{w;7>Sa@RD_`W z-DRJz-d=f_^G14jB%|8{H|H4im_GM?K8|@eZ?|bTv!OPUpsGdaV8Lb`Nz^yj#U``w z`fd3eU*PY);2YrUS-wR&I}z>-4@Z`S1yxjXE4$gIR8RxMycLT?6%!)Jg1Fh8x3WlL zND(XyP{Z^>VhW!GhJpqSSRgEBL|wSBf?)(;A**)94@fv|At=xQq#CGYHxmUQbSBs+ zg6wG`03EPw;kU{_OL#gjd8M6m^%K{7{EVHb-}bA_uT!CEt@1T7l~9JK~We(}-P? zq#k`LMNrBw6=+DDZN?h~cS^1M?ahi&X+WNlcT?+#QGqwKXc5gn$osXSLz8#cz} zZrdKV%YJ+5`(7-uj(PK>6CktDIsnU@1E9h3mwxsY|HF6f2fzEN@4Wr|H^2D9&wT9R zk@sLx8-=DyZx0lrlNd!Q8aWL2<}+QV2q$BvpM1I)A`0Gbuemp90t7TTS^Jz-UgerL zpapc#_L9EZ!KU~N(pAgp9l-!irQTHX)K(LDCJvEAr>Cim_Q41PLPbx*ZUnc+D5bPH0c zA&pB+v7kt-D>$y4Sr06-0>h561qVD?PD))sC)P49S{+BqBWZ1vX&Nt4in{1XVb70Z z8EKLk&qQhiW@0uC8!9F2)93Dcgfo0)$)(_T3PeoR3ujN$m48*0Y+sVja7N#n zetU;CT7wPFS*0FAUMp=t>zD%Yrn8?mKlvDXJ<2ym+a274mn z$*)#mVcgnUf7W=poW>>1x2zG~y^$hX&WPm18fQdtXbKX}8pIOrE)Niq90i!Aaw*Jt zxDa#^BfSDRPCuAxSz;FS_E_KnOA1Ey5Nib~va+F-nd#`Q z1NxA1D@$V6N!Eyp#u^w;(U0zy%SvoUu?&{sCtWHz=cw7QAZAHyxxG~uT>{hX$5U81 z%l`M(#>!7Jg4J?fbojj9_WL=VrWsKy+6xsP^ZCfd04TXZApPGav+?x|he`Kl{eVzw_?>-}~a* zzy8^`T*4!uVYoDvzj|~M=%N-6hA|kP-2j{u+2V&C>mwQqstBN@lIPoNY?cdmNNFjJ z@7;c`a|&IM&;hR#>E$1GOn8p!N>Oqd1FTs5unpw`s|o_4&FT$6X%3FRD&}NV8B7O@ z^~F!k)C#ZwEK2=}D6d+eGnj>v%TGkLTuCTxc}MwWaai`+gaA8N*afRLJVwAc@6FM;M2Q zwz?DnuiuideUV>&!EZZX&tc?)GaX3}&zWc$e1Y0pmk`q^%wour(&I5w94hH>!IpnD z4C!%YD|urX`=2_P90hPHfsl}lR?rR~knKDu-AATE`}(=gbdmK|!yy&PNg~prwvj+j zEo5!)N`G(}$+8pa?pE&&UFVQgBzwMGnsr4d&n+*Ic4R*4k|C8ZD8c4|1fa9E^zECa=c;%Oc{qCVXWBDd<@fJcCoS9xa`-(WKii0r?y6AFz`%?G5_$byYGMS$?v@N{O^DH`!8O(&GO<$O(OsSDh87W zlopcos7z6WPsIArApig%07*naR645~wVFayj-&p~B~D+qWCll)_DNB8zc>Z4{ZyRn zVt>p*-s$WEDNjBe?FBX50+FnETMOF}UBb-tvX=muy|Mk&>iNe!ezJM!-uM@TTqrD zqUtOOEPNpt;l8_TM`h`M1;l_#Be0?dl$^BDf@*h^VWmb5fozMAA#B}zZbJ4^Bt=v% z+jxF=ce~u(-Q7JtUSjT%$Qj^}Yw(i6(RGVaXnd~k^AYg<#kW9NOZY4;V zfjMSIpnzu~JhNE2s3qB9S#s27_MFVY%5@`q-fN#>7HXH#a;2JaWF0ziBRiNOz_e03 zvo{%YAUKY>rC2VMEI)cVQcE%md4?SHy+(oA5>U2-T9~u|HK1qVlX>})Mr!$&4QA)w z1)xDysjdaR&81{BOPZ@)8Y4~g5xF-$6S17y>~YIZ~I{ zJ;HAf4=>-hyXV+8)d4dccYV0gfi!X&Y1N~gvhMX$3zr@*AObN{RTEQ7y2*BT-R|sm zH|=4cw}{C;{R~3MaJ2xph;Vnt?EmKNmYe(9#owOtf4%YAH{ZSgM_>KHSAP1vhzm7F zP?Gxv2&R;UlgwR2=Rgvi^ehbEQ>#{IZ5@n&s56Z1Q4kF-=+dEWj8Z)p5TA&9iCDrj zvas}4-0OX70aqh} zkd{A`Cuf2Fm#%j0>R-5M;Lji!W^+tMPuELpi*r!*+n=_>)Ncacn`oDp0m)SenP)}PYIMa;qr zGW#3dx}%TjNqFiYW(c0;$v}<=%zg^xWK_IEp)%JmDB1o*AeZg(%Co!2hwb`s*>6|u z`5_R<49w|c$n@Rf7C!fVAKPu4cVW&jmRGMQHp$9o;Hlk9eRlme{`!~r|GtRtyS_-s zCI1?XqASx9q=`!ZOwp0&(JDrWz4s><)`NFjfYdZ>qdK3#3}LX*DRu$6O;BT!SwNg& zoQ8y~1YM>8B_KvXu#>HzI<=l9uM!Kd%g!qWxO55+lGuyn{7R4HG=aqxC?Q@>x3tTU zlHCGNt=1&c{lJK%fn?@rjh$;6F;8l&8|jtOlG0#@>j{FAAu}DKRcyl+<_c;mhO1^S z>*ThJF8z^-v34?I$wvR2_WMZ9uz(IZj9|kf{UY}2gJSOQcAKv@!H-G;VKmXU{ z`D-@9u$dYbeSgJ^xky-=J|gd=YkpQ=78addk{h?lW@=_*j7{xg+jg_fZjW=ndcrP% zSfMf1zI3{d89qFA&cVVGT>wT*@Xk2lfApj6&wuAr|MeH2|L0%$!TnuKLclGpxdNDi zQ5ZghoMpi{gYz^2kd>zgo9Dk$D#)HDUMrWHAoYC@oj&Qpe8xIH0br12ZS2Sq3Pf0vqjt&2@kB^djTl&2CAa!lThwN~}9nx}pEFQ}0 z!n?0SQb?Pr*5UivB=!9-6cIpVYX~M>eY`Y};L5}K8Tabf=;?y`ev%PX?<;IEA)^z_ zlhDVhK5_lOYQx#9Uv9g#03d}7EI%^^qAgo9(KFgg@tdT9Kw7(|n5212Ll`q?jOp&V zd!oAHJc!D%h;1~|hSVzRkxUGRLS>N{OYcZE7LdXaGK5pTyIfv<{`~sz{`IO4J4%Nt z-Es36iMm91%n>uPeF-DT%%Q7xX0xJ~lY(yFgT)Go_vE#2^6&ml{!^zj!eypg>s32c z-L)9ZA--93tTG%EH9){X?$~nK@|LfNjocVYhi_mY95%3R$YUke0ZSi96%ZI&69!D- zx+=BXvq4Dp*sY#Y9U!eDE;Q>nKUS9+pmgPTdJ9#qXOh}gL@UdO@=>BNi`-8E>(f$e z_CVtlmO4nNTwOA{MG!sFpn#U;M@p#_lxfBq=3aj}+9Y;Fn^TB|@3EOY5ImlagZ*p{kgv4I7v3a^3E4*N6S~u-~rklQDZK zDwd*p#87pO5$Zm7#-z`{Op>q%4Y1*F-{gP$_bCklddJKnGI>M*vo}JJ&trCE;){%W z^hgp%ANtxmm*W!vgrA^HJoys{4B!~l^J5<$fjP-}{#C1Io#uGhGX~ni-RKTZCkLfm zmo4nGgpQz=hq&CPW!;5`h;<``W&56lc>-{Xq~Zn-=T>qL4mwC?@gV|7cK&imVT%e( z@jl4;8NODbE}9Vd%qiL5XqR~xA3%0 z?jbr5DyQLoourY|BB7m!yfzhh)k&?bIo4g;Z2=@p+(e0>h;Dax&t7@S|zG@d;`DoCH&5-{_W8F zNzdiXj$b50Lqe)gFV(3bR0*X~Xe8B*!wG7L#U&>;MnuGJaTjjp>W*#0nD7Z5*s^Pv zLF7cgubd`Cpau(=6|gB)A<>oN5=oA4La-D?s5YjV3aDClX2NVG)ze$cbe=YHX9AAkMR+s1*RYTENFa5#B~bS_`MwM@oyv>MV*Eyk;;`0XEzKY8af z|Lrfm^|wF!_A8gz$t?y*s^#*C=w7s7L`*UwrVta(BPp37aP%e~DmewA_(nV|@e^p&elGIvNR8b})OWmr) z6p&ZnmCKSu50`TAmll^+ZCvl^6*yUMJu|G1*DX?G=lpsrs#}agywFZ0^SAP3<)a*$ zyuPR*v%ZGTjsStxavv+OT*tXQcGNKfyG=7zxnruehDsUBhym-ZWTk!EdVxShWrojB zqS1!biXOiAXtS8^R?XNeZd))`!fI^zHQ~o*AOcx(Xp&Hj5~!H1zPxMN^DK&ph^pEc zcbDz5J-ZE%I}&9RcTSIsNW_frId3+vbHDeoM-1l>f}zwJ^Sn0pe4H|)hKju6J-qni z`1QY~U!Spe2X{mj2?Rq3kx&vAX~2!#u%(M&j4OR(Sa4(*Hypze zR;?*(VDzD5F=u)AQ5{b*ZPsy(fHhCR8!KNkxU>IR)^8PZxEzf%C)unIKt+4md<4jH zOu&G-e366Jm6q}7W#kZ(1kp;Ovkh~m=769C|&4t^@fZR(%NAL+i%==t{UrHr^p{lp91N?ks}vPkek7YDs0cTD!BDEhXnC zB)#Zk=^e-_Z|^b*E!=crcZ(0!v=j&sQ5@4A8-1+CN@mm%HqaOCD(I*-5Ls-L$qYRO zTg&(yeo1MDwJB0`%`+49aOp}A^1iuV5~-%CT}^w~YqnME59*^>0ug0=E6sjT1lqnG zpOY&~iZk3DQo|)9yvHACP9cd#u0%CeY3EC|m9CUNPE1KeAl;{6!Ie^noz=lg#cW(I z+q1j-S8msb3j>%}fI$(td2B=JKIhH$i*L7me;k*K`DQ*T8fk~5SV&TI*e2l>jCxAJ z;o;l(+Ar`+ALpM2?^0~y1k*wQ2D=}7fQc20Vq#Ygf(AedCm6SgF)UM;*#Y`8f?=XQ zrojf(a7lbp%fhX*N_NCnskq2gSw!N}$%IsbnkD@jTQe?3f;QER*Qh5qib%(Ss zSIK@R77|>6Vx6)z%~^qYL~p63o+#G#g6qj9F)njg`mxFESr%HVf$K;m@uAVLRG170 zM9dhjqI17}^XtEVdwlsbpZU`L^H+xk4651?{s|G1QgVInC9g-y4^G!C&k(AsC?TR^ z5S6rW!^Ukqnr&*2;oFRz-tiAvES7Lpa~d#?7^WMV@3>>)gvOvS%pPiK?|_5(bcck+4WQ1Z=_CEJGmuva^zh8 zf`VJ>`4G3(r957rm{euASeo`kDlTn|Qgl!HgQ64$Q`cZQ@jvPDlg-<`Tt9qI<*{XL ziXKsw;*fz7wsOYNdFdynL=J>I7p|#(IEcq(no8@%5;{RMHu5j?^m9JE-?3uPvqJ-B;s*|**033FhgoeaSTVgo z1oI_$AABzK2q$~mJ%d;SwZzooC=kcVuv0S5%UZ3DGFF&dcstvT$BGhCWvbaWF87zq z{dT#Z`+hNj;Cdr~ebO(X2;`VxpYAjE8QV@?%0J6}DBC7w`?Kbl71^L)XNdRk+MnRp zem&lpdXu`(-FYK|pi%%e4pKxES`9%ZHWLlmHMZbxK~*}#gp(Y`q0|WTM0eF}Y&M2Y zF;h1cgDOl>=`US^P_%Y3`IB4;;8G~1P1o+N;|&6dUL zFYB}0Gip|I{>w9qvb73u)P)`@x&0RSbrJZ`I$-AU(`tGHgW%7=u+9+Ma^UVHJ*%XjA< zB2eJF-}>Y0?cuXO_m$_bygm?vn{pIm?SRRoonwN^b@2OGC-{(oY^G$TTnB}isi~Rj z&DS(aW!$M#S~#{`NNl%GLDKikm*BO{~_O-l(r?X z%haupYE##KX)+0l?cJVB#doy=2j>JhZB8yktjk;KtGi;>-&8d49CAmoBo-Ca@ibCM z=e~W=09~-h-7fjh0K}vn}K}5CRJubYoMD;e8 zT#AaNRn0ctHXWOqy30i&8y=l>+-@=M5k4bk#AHm5Jv=m__rVDp9L;JIHl?IY5HXNX$!Z;wUo+&vYDmA)=6XH;CUs&ygd zVn84o=@_MfRYqoy4nh0K7`r~lRmp){bdF7Xe zAJ12Y?^u}p^{|c!cg380j2A!svp;otd%XMhyN~qNnJj1U5gYUwNgc7HB{@;k({ss_K|?#J+pn)IGu(bYc_g=KuSD_}Ck7KL5?H{OH$z=KZO-`CXL}gLI$O z`62y)DuZFAZyf3Ll*vPT`AGjHL1yL>chX|H3(47>NsA(oeRcp;>Z`YLihZ3Rdn$s*DQ`OHTLaz>SH0BCg=Bj2wn4fND16 zs;S8;u>7w<;hXvp4&gS`ghL=ILu4B=M3BQ#O{ATvMWc`UUNF^iV?Zb_9v+JA^-$)J{`0|7On`lxoPnXg7n+#Vx{Nd0x!vTp?oTNC<_ao~tvT zv?dk-#>Aj#Rfe&oJ-H{S7Z_WFK=Ut2LK( z8oSBs$V@~vq|W~pLY-@n7f<>T8_2<7NY2NFw_)4IUjOuE=+N!mci(!vUU#RC?ftiZ z_|4nxv!DCQ>!18t;x0yP*dTU5v=kK55Sn#3rM&B30i*{Yr;BOX4yY{KMI$UsRSK%q zP4}Dm)%V@u=zb=Gp~_%j_;gpbo2lx>?B?UP?_12P?7Pc^gA8}Re(%5gBYoqyKl#01 zy!+2S_x7h>dr27yA-U`-JK=;c5G|#mEHFZAW@0QoR*j4V9@XWqg4bO4d<%f1VRy5` zvuAH_LG@{Z3#{Yn!qGE3Xb>+vyLb+H5vz8@;R-vt_DbOu)s62%eNg@rkB?CIrcov1 zCo@(PkpQ$tTuH5B_m-AQXHMGF?8!CkjwThtHr^|Zmy2*etU_Cp1P9W<4-kN!V#M@M zMpcQoo~UL*>`oFaxD76XMvdbZm`) z$ryKc&&Mk-F3(@NT(aoqGdq1Wy+35M_f?5(%r?|ks`r#|t8fBDY8_qjjYJfK>R zf0WXfZeP%h){c@J7(`MX1d-jPs#R@RcXVITTfz$&vZNm-BC4j_<#PY*`SaWD1E2fc zcYs3#7d%W}C+;=oeia?J-E>^`+cxac#&8ae5Y3dJ99g!4nz`;59cz+enBT$|z7t>0 zOug#GRG_-dzpSLXPxtBZc)RWM`ZD&1IdAk^_$1tFH8K)#Fu;j$#0_zk*ug8}inxKh za00G15%vtTwOL2LiET1UyVj(V^I7^3z>~$=QKF3xTmALEE}uBwx31y%wSg5~ znIkr#s6!BuwY-OqIkKWp*Qc$xufALLPA{*H%L}`_YU8d&3gs-;fn-H|$ytdxAK!iD zlVAPJ7k}gW@D}$E;`a9Y@4fl*o$u|B@2PF7qc3=fSYqrDcH%FkjY*g7$dfpH*615w z%ZBz=kNihDjw;V~yzQ?&yMI3PlTg#m-hcb8mk%#@XKdr);k`G$@rT#j%TIm!^Ows# zH*R*3@}f%X2&5ErE_M>rngg2`83GByz#2X-ss<4?qpDJ~Fm4;$*l+tjcDuRn?#_rP ztR@|hanYD&VjIWqbKCb##CB8BA^RSOkDUY>3YUIQjVk{Si(fk!o{E8W&807HV^qb4WzKp>b&*KdJ!z_jY(C^8iQ zM#xlJwwn<#RP*p`*<)+wN`A_KmFEg%+)>S`Xjp#UPkQ`h^M-YbPIS+OG$vp1r~zHh zBTnMiCP^C@JN>otc&F#vH*s9tMh`uYofNiMWbr@Q*qcysK)4mdHRuuu}DWDdwV!e!s#j(zIf zF?XH2g>UXVJ)B;Z^dKk`TqpRLJJBMaJ6vZ`1Xc9B=F2Z51hiG2VAsIb3;bvk(Vv*x z7pOu2O$WF|OND-d;+{Uph5DRiT%KB7;35HJ;1E?|Qs10|DpeKt&*v*I@Y=`jo;`cT z>|$nUEaXFqru;p|etRA7eDKxFTVMF%-+cM<-J8Dq-s2CyH$U;cAAa}cATQ0MvNiv?(c9&@wTQ%A!&&E_csg6IC0gL*9P# z`tY#()XnC8`|h{?!}a#~na}*fGroq6W}E4NF3MFoQs^MQ6@#><$#YE2a8HMtsdh!8 z2#_9{yIGchn_X}FO??la*(f~E0u7AV!iIVHHpeD5pencFdYx*x33T@mcFfnh%y;S2L$R*JQV@_C zhkif8zRr&{j25zXAAKLqz%LKDcJ)BsC{S_-HGEF@8FR$2B;c>A1j#WS-8&$+KAZy4 zciw%A(C4pw%zyBs5e`YV+^E=>L_|U&$%_g`9`KHh+vCpYsrlY1$&s+|$uVDQIZzYJ z04h|>HrvLwscs^>V>co~Hj@ZOglW)s`gFg}{W{0p+-^2DH`7p2q2}C;14M7zR*P0{ zpFm(Xbl6Dhb|+Ss>m$tI2NJ3SfZ(&L#C=%I zppS?f6E$iOs+^GWgrjC$3#xf!QI^+W47R=p ziW~cWoAV|<8J=8^AYckZc!*9>6R7HNyWMt6u-x~7d4udeJxO*iF7d`o{p0tWDN%{n zbIsxt%>;ILH-Kxt5KrJhoM=^$mf)Opabn;BSfeLS-qQhYA0>}4shW^el(U?;iZNB5 zO!2H|`#SPZcbDzI$4`EIgu1u&#dW~S#;ibvYoAjq*BO#@s>{M*Kqxz4p4w zH%L|;L`W%iWI7gxgyiwp}iFm&^Tjxx3vS z)DMz)vNF4miqnHWgC3C`u$D{G=C%Z(9k~*O+yhZfCwHJU_4wZRqwUNZqn7$l&BdD%+$h|mbnoKHr>rkZD=OotczoB>ZbR1vE=&T;Nn zd-wHx01{AmXt4+th@4Fhcvfg>Bi#|Ju@!J49ct+qc!(hK*9Zc(${U;CRo|{k_Y&=D zSO5SZ07*naROME-$9giJ`JJ=MZ3HI;_W1BVL@7$hxYi+p!?hNtOfGs(4Y=Yz!TnnKp@yUE(Bpv^O&sQJP6{EB7&MzsmK4qq)^&r@B$tkK^DZp;U zydnd1LLVZCD8tjd`E~iFjEdqd%Se~jlJ-!SFMXn`WWd3-AbkN$^j?;b6Uh%}PZ^Zj z@db#c8eTy|ij~?nZ|}YT{tsV!@u@L1=q3YnQX)jm4#Uqt6?!YAi%5#3cmi3$bg6{;Rw-W zyP1+BIU=4PBQzvrB+$e}iX{S=LQ7jF;XsS?t|zw@fb@$}vI5XlB8wuQvtc!#2@RFi zIUf@>#Kyp@&p$SF z=-A#JKm6dmx97fJ;NxB&U%vJAKmNU+`}{9{;**~xIYx}J0Z_9Hb-NXlEZ-hP8Mk4> zhGuWPrEtnE>NeM%nUir5sNAXUsv@E~XOc}O36}SwFo=q4j^8lTZO)6?ql(?cKn=gS zOm*>a?V@o7B2`Z{5y%PO$1*zWnQBI#aIE-0pqnsppQuy5sK$?;yZJbc4*z&iE z*xg*alD0I6`E{uX>u@ivSfC}D$-q-A@zjF;ryoDryva(8u>-eLz;n8u%4r`~tg$Xx zpbn4rc3k09m(67*F;6;dDST1s83OGfbajNVJ&63;)P?KFc3ZAi=~BT#e(;L?%IK_6 zuPrE~Emn6_l{Rkm!UnHu%T}fAdXMn9o$_~*_mvBnF?;n)OcT-uW z{?C2>Z#=ty_Ra?{RfjM$GdmnG(?0rS^=`__?zUAeAT@Tn=sjsZ0_;QCd!5-hp+Isb zR-!KyQMGNmv+bgG3AutZi|%?cf}s?r?-4tFci-Ljhzt7mmF>^wo^;qI5VbLK(uhdc z<)2WX-qw>hT`R6YNV(8K-`su9P@|fwGXhQf10_KsCdHHrH3=6}2~!(nwN1_z8SBmh z)T~`BvsDf8JNk-f6K0wP@n!E+BZAP-P-xURGT}c{+AyF@~V6q%r0qfzw<*fE_e5!L`>3!V^{!NKqZ_A zQI(?MxB6)}8X-(tOf^eMh6dL0uY1+%{H~fA%uo^ChUhD5V~n9{@4x%j?fOz6&n`Co z@jKuA!`togQ$O>CJ3a@njioml|-fcLK55i&OAm3R4|3gXXIhqXTaqb@$yz=VvSAX>OyBN9Tp+XXLP+{7@bws8? z6`Ig`FH*G)g$k+%41gMNTH$tyXE&GtQ1xF-dcCQQG48gz$IIn*)wv70zL+BJG$Ui5 zyXtMb*{0(%#x}-fA4AMEjCuqXb-NH#&7?@)#d^h}oGguk{!Os{oYq%O7^Z_G28TQ8 z5w7M8?+q%v97+o%38AQ(TF_JnERd}MYg2=LvK0~<)`iqrhIPUbp$52$=7`Qvg{Wq^ zi9%9YW%!gg*3e|EzM)#yE1l;|v^NBrmM+U;XMp_f@BMbTf9Xqq{Xqo4 z&meMk{F^`eA&L9@XUO>>KKBsS5F6A1F+@;8#L}#`a>>IVgd(z!bWTN0V!pH+10ggd z(frg{lr4 zV~lO6)u%6OTr0bbzpfT^*}hA{OsXzUciVOMT|7Kuihx4P0x%I(hN`OU002|l?PmLJ z>LYF%^9q0-fM;-?QI!F~)^TkiRxi+;B%3(onVnx9z*|b&<;{%9K?V%A(m&w;ss&tL zYX^`GmRG}?L-%AbSFvM)0E8oRkGp*RNW>Tb?Y$4) zcfY>&;^XqC-znxu5=u0g?&848X#=1~C?w>F1#@Ymy^!URPy)1N&Rff^wX)@%s~GI= z?tXvv{PFhuc71eb_zfo-?MVM4$FI86r@On)$Y;c|Q*((CEZx_kL(Tf)50421^ZZFW z8oei6LIXfVg`v7(z%T~MOGMb<$QFE0q&Hyr?)iet^eMqZHLsYYI2^0!lxzfy5M%9pq0$PKn5i7z9s8ZE{2!~3N zg(JcgUcE!ZtL>U+q=G_|lo|$g9Nqb0CO}#^OQ^C;7Qjd3Y?wjB4?@OrtsC;0pS?qA<;`nfND?LF`r__L&{irJfQe*f_yE_csNt!ZA4 z8I)%3U>7lnsM^>@jkDJT`LiMJVu>v+ zBCUpq#HA>r5?gi!vSDNFx0{;#KBsy(vN~JTgdSlw>bRDMi@&^gBgcPZW5s7)t* zPvOBzz^xFf4FnH90^*b&`mv9Xn0s46CzeL)K;W=lWrL%iIijTc>)8RXsAz>m%b2lw zMvLVoa%BJ7!7Kvj0TU+t*s)e7bJlluOxA|&|7Yz@n=Q+Z>#(&l_qq4IS3^(eCO}#S zNsDfR5+vFL=&&8K1zQq9Ivfrv!u~z{K@5i+VNw=piXq7|XwaO30?Yt72m{fL>Y>Ir z-LrS5KV;@U=T%cceZU2}>eYRBIA`zNnJZULgxAc|N<`m+W|a_ML@D7OJ#Hh}Wd@6K zCmhph12Y!rVOAaGadPgqJ8}SebO$b%GJ;~^9nN^e{2|VMT8ol&AEBih=UjG>}x)?pc$&3s4k8jmVeQ5QG$wh*9O!2T$YPI60XT&Tn%8cm?# zI>*e*uvpC5sNuE=0CSkcNV!ZHk>C_F;bBWM3F6U%_)HTTT@zu$T&OX!ON1jj)yxku zfmqJhu}U^ELQEpo^=;aiSvD)qB(~8>h?Ce~mVWOXS zXADZ6TSqw_&m8!Zul>=3`}+20KKIdMoZrWfg-REB^uhbr*DubF=S<&S;xzSfYBr#a zvc!iC>$$kVJTicJdAfwVS$K4kdIZiaP#ls&QB@dyC$!1ATqw0^TiW5t;}35xpS!KY zsiIfU9=-Qh>-bymzV_NXaS%vGyfs8E%C(y`)h6IlmK#N4p}y6 zUQrsY^hZ$cVg(NJf{+RSX;c#+7WN|N6{iie3<<=H$aDxYe{@2Ua$-62Al!N%x9jPo zOIIJW?>LefoF^c_OSC{HK#|smy?Fk?!`DA^T-s^$#TSDyaurFyXsgTO)mtOpm|iAp z>A<{BiSP!2%dIY0&2xSqK=gqnv6q?m7~f+U zmU-%qUOC^;+7t+>I$hLF14XX?m(Un#wZJNv*tz8Rur6 zbCOijRo&svYz70<80%MMC6Vj_Xh0J|rk%sX8&dHBiTn@;GsRNEkf{KWf$%P@luc$d zmGz0N6$>jA;kzUwOaulo8<6Z!Kg84of+3N)9l<4ol)l%`N`TSHAj7U(%oW z^yj|wJv+b0ceF)x?fv(@dwuodaCYI+q^Z(f1dtA6KdBCIfhbuS3qe*+LIyBV8U-Wf z91t?F5w}b0XdXO?mHy0QJym)+bDKkw;!~N_WmS;LcR&2`s)YfYFPN&auyr~- zCC*`3(>RpxH1A*+f1Zbbs{g!0p*v(cw7YtMFb}Cd^LmO4WnEaPhZ%uOHx6an>P}{y zu;_!N;fVCT=7OVgc;X1nx6`MuwgWX4JPVpQ4`3MPh!=V}z9IJE$hl4&mutL*Bw6<; zO10LO<>|AJ-~PaVbWwK! zBkw=b#!!$qq*``qLrf5qv(HK??B;PyH@)cZz|?Ndnh&#P!$z}V&SB2z9vB3w2z?MD zaF-_NTaJlJ8#Lz#Jqov+eKij|w?Ng;}*dq>GPgl86CD#>jootZf)vA@A;dX*D6j1j_vMl>+e4-sF@$nisj zmj`F2JHF-MlZQ^0M5?NuFe0|zy1Ax{15S;eD-sH`E8tE z=%?RKkpBJmzI}Urc|5<*&Mqb%rZb^SD$+4v*+ipX*2ji+M=S` zRNB%s>&WA(P}n(t2=yox3r#rd3NGAu99R{7~@WtFj1Rf19P+8)c#TAEMOdNx8XtEXtlCLfeQm`r=bdUm3U6#Yy z*~MwSe{*xQt~VGw9L|py_gXuG?6;Tw>SMRz*2lVz=Wc__Q9~*_^nQY^p ze1K4*6M1X*?mf`fj?3Z6a`yb$Ux1#MfdahLJ^m>p(-~wmw4AKvLylU5yg#KRC+03S>>gKrfE&8|Tf9jd7 z`@;NTKIT6?4I8G*6`~n(oXa-dsdBCMy3k9#0a?Ko*l^$G{V_8+iX*R;P2d^` z(ktZ1*bOVH*csDqN^0}NgQd*05wEH_0PYrrm@(hWHFKKcY@|^ue=Yz_(BD*Do?ks5 z{ra`n-zNSdn@!%?0f$4)Ap_D9Ax;-RUj;HJxp|3a&4I0@%}XlBiA6?$n}`dSrb{~< zj>ofmuSq*QJAZIII}_@#ep=2hPnSM!tq)sP8>5$P11Tb;l9IA&QWqyYc5cztEjibSlrBf9p*L+8LM_8lRy~N(Gi-BZhrwrifBus2H@F}yMkTWEgkM7;yzUn=QA5KtI?1}b%LlLNJrXbE24{dp1=Ty zDJq|GW`PL8aLth3z9zvi<8Yk0oB-U+;_G4@1$GD4q6MJ4l7J5roq>qUF5CmPF04xe%ig3jq=)l%_a8 zzmS+^(;A+9cztyRm3BB^&hPcHKK}SUx6X%et1i*2D4qK{UIc5jS=y9XKD&{nupYbn;%)mX=3u3@D?8u!r^zEr~Dh` z6>YJp6qHDWK){l6$%?sRT|)?w`$Sc=QuuNGV9DCV4dLc^u?t0*qkvc}ewox6ne^Gj zBcVu=G@g5Ah-npl_0i3S>asIzKFOU;xrY{Z2c<2`&5P@+7au-&_+#hi=O!%VDEoX_ z0~AId##W+Y?nI8{-V7&<*$<*7T?JE`UMjJxBur#ZYOH|>v@M6@#r=o8cp!Q>UzVea z_R-h%nv{O;jq9g>ZPu-iZtF5erfB4i#n3_tGCEs5`;e-GA=RuS<11cE6W57=ujS7d zjIZnVB>hFSHFs-Ev(d+)4Kvl@=H4ev4OJ1@t|Ejf7~wY~h8TwvDB{+OXp!n-%0TdUg zMZzSA==g3BaX?`(jH)7mnPqS#YRq%mOXSp{DuUe@X4&Xwp{;%N)9sBvE5eY6!;#c1 z=*cK1U2s!09UWVhQ5(P5==# zLIZ5Y|DzIAMyI3CnMzPm6yGkCu>#B{DoshjDg--E=m5-pWS%5kO0Nc68`otF5if;= znVAAq?xmFb5E1_PfpqZ=2B-g)I?)SEH^cVwvf) z#8W4hTp`Prgmb?NB{0xqHh?)~w-hkyJ2{nxI$FRjf!1#vIw%@N3HZIWx8#qhH6 zpXPC5!s_INsx%Pw0A}KTXn$ry6p(Do+1c5{hfXs(XzpfxT~BdC7xzDPd-;+3nh6T- z=042a$1rQ=Zf;`YQe4fLMUEigqZmjeIv^@iu!T7>u}q@9&3h-Q(p+4cX>UtgY;>`1 zqt}{yBwU2btAVhHUQX0O6Npkwa+>KVxH6_E7e9oa-01M|p+vR@m66CeO@~Wnpum`u zMxq!XHU$Han86ZH$9SU*zZD$8jQv@DJm${?W@e@Uqv{O^L=q>nx?G}rd!(xX;$|u` zOa#LmZmI&StP@kk7(O`wL+`l0elbz!gXM50)L34E6N&qd*fGb0d-q~8pcixWD$M)X)-@d)M5!I!gWngLQG}0ZzpyI?RR98bUDxK0}?~E=+ z%PdzZ^o=b;8|E>$EQ&GRAS$BArcHG@9xooO-Sl|x>~Nu~z4zOj%j=s~wavEmT7?Wd<3zIUS$ROLqZVlcmTW?ok;eOv@I)kP-EcTz+k> zEp2J-Fr4e!Z`af9>C{(7Xaf%1!}gW-is0C3+P1*3=0YaUiWWg%wd;K5@sf4l+yQMi8@`} zMh9+gUOXw{NDhYsMJ7MV3T$H+F*Wo1_wHX_z4-Ot__sH=H~-)lzxb6u{{F{Ll zQfeQ4_};0H){ckeu{3w!%T-SrOO?aS~AsB=3Z8R z4V#KQb2we1>00n-uf|N`Rm_{}VVbuhQN!cp=4X_TxutS!?qfB+NQW*}e|}o@sje5r zn6eNBoe@ilxoIF?q(cHgXAS$DwKgThH>*&4u>A_y!IRB{+d;$a7on&yJ9@Cp@1z}2 zC3IoTgxjb2-49H_7=b57)?LIDe3FyXEv_JwlzU4=`nmYB9G^XV{?m)R@#fp|{8FVk zg1B*mc^~nCW&`f-BbjuFfj(mJW^Sk?V4&t95RyVg%3Y((Xlp|Ch3;fbPb9PThDR(dfK7A2 zty9Kac#Ed-8I5C-$?&NiP$>r>B9zL;g`rwM~!T->|5zWiVR#aFLxPXG8H{?~u-?>>C*1NqdO3OSKCqS>$H?t)f zX4yDZOyXdllm($CY)vv0C#N0*dfBaW^kLINMNvw@@8FaoYpg5TL{DQCkS5)GSRxB< zAvs?_9MOSqWU3@{faEq3h;t~eIl*weA~qB=;1i!)HKEVKnNqyfOs6bDOvQ~1gLxT@ zw*byKdj_~eU)jR_aPzjDoreOh6=TwRrQA0IH#c+Vf7Hps<|b{vQn7pvg?SFShmsK* zR|m4!P)LI4cIXV*f(+OZyZgt+Xy%m`oiaUd-w|EYLzt&J(P@S@g62zU%j?HX!NRn( znPiqG<<29M&zvF%8-X0+L6EXd%9~#@FP^DB-NcW_Z9Df5X{8gZ z2Hebs!-g5ms&&2$IL7dt!AduXy2ONzBpw^8k$Ji>8l|S9`7f$yTb8EFvZzQC0vt=z zLtD(u&7n9f!O-A%{#v?ZF~MNi$U1@J=)-gjYZ3M=hI#<%9E8H*=#gnM)m3^|@EFjX z(`2UG?nQziS?j2TWi$j-RcXQ|(uLBqtlPmnS82VfWs-^m7`oC`-3B8y43x@4tsJ%~ z;bqBYO6T+>%g_{wh8?tuA7xSod)X~!6F`usth{3+g;5M`Amv0xOf#P_5)RMt>iJ2C zHrg!@C?Z3YqM_3gVO9EWNVSqs1f2!RW3~05B1d0uubxE{4abAy;fRXwaa*OmA^?DU z=l8Fu|NLM5@$Gg0m0$jEkKcUqt-toS-k^va&hDSquI;GW%*{s>IEPBIVdfSS(L2n| zMuZ40eb7wuf<$U?ay>N)PAMXS#B9M#X!gkpQ5TUzTb9FFTNaY1lP&G`>gGn*rgCbn zHCaxln~y(!v_4!PK6ukx9Q&3{lgp5^G^1BI>aLHrYiTjL$;pHT_7yNnzoWjbsY*Mo zs{OP=fOSN3llU$Lhk$4b9Ec$zI#ZX;}-m7`f0I8YX&I-LZw zV}fdQh>hA&5fSBls%i`-39fF7Cr02o2-+!JylucFE0twM2;7{%IJ8#;zkgw)|4(6SPn zSkYI3LZ)-T5q+eAXji=77L=FC)KXI*ruEv))!+EoE4h5}JUF{Ew0+lI@2aF~_aN^; zKF4g?J$c=k^l|sSo7YnkzLWK$U2rE?cOIm`b;H-2>r*=}%b~k2JWBOykex~MNk$U@ z?p@q#OZ%O#{@L}({^|etrL&`c<+R?u zc=6Q6c=+&52Nrj2O_2k5QmDL4R%#ove6*5Oa?1p-WE}Tg@ZcdLf4?;h;s64t-KG!A zFl43wsu|)s21T?{Gq8|hxgIgN0iCie<%w;g_BV+etO&M+?Zy!!a2 z2*RbSI+;n?+N?NymRN_K%|kEC0k81*;pXk^;^7?&kO$u5U?kd|C(x6a+8@WACh)pu z&m&yaWN^3J$#O4_Hf#jFrV-`QnqOG4>;1wqk*(iV6Lmd1pDyuHX&0~Rrrm)r>%1v} zP@WlCt*W51dYp-PKvr4+vy!YG6Lw6s2jJ5Z*kFLF&h4nw0`bOR(vc5S-Zj8s;i zKyUMypxm^(aHl-W%`i;jyWUmmZVDAX@p+pgRL6ckn?|y1{U&;;C+pbObyj}*#E3Hk z!tZ?7yrer|a(?UX({x==x3|}#OVa}-y?iTW8F+nX9SQfdgEVPh{nNj6$p7@^|K`y6 zXMahN!|`~!T`?R=1u@Lhy1CmJ!`5LT+SW(6uy)bo)K(K8W@C8t&2g1Rg}Z<>Gtn0F zmnh1p!qlp$j?#bwMPnk1IaG+Ygll&#P1oBV7I0Zkr{(r^`}FBY_aD6O$MeP9TT@q& zt;EOEN$?4MwqmaG=Vp5L+{$u|!7TogmWMIj&yy-CeI>{0ZX@Xkz`Te`7Z)ERLJt(_ zUF6iPHA|l_w|B=nY`a^GT}jbq^d^ehq%4@I;w<7Yho1J`7v-`3B;?ycIslc(8^$pZ zIRM~rSYCeT-}Lz5=IwaAzh@wK9z|Zy{->SIzjLrNxvVZc3vqVkqO6#CtkfqMKKDsq zZN5?c55Sa$vT8uulqn=(k~e>-Ah;KZrSE<{Z)Kj_xfNdN#YC-%gdQm|ehF94>)$-q z$OLQckRc&eiER5#DhRk%I6jPA=Dkslhx5lzE`RLD4j#G1A-%+AdOms~Bn3yAiU7lb z)m749M{jl=B4QFLH*>Ex`rYRJt0-Is!y}zXuolekZgzLSvstorfu&exo?By(-80N==Py$y7t0b@|vfNFWu~&i$R>%`n8CR-q-ci zmZNI)^pFY*)*Ir7tp>5Rc4%$+qd)t$`~UST|LDK`{JZab{VzVaxoL-Cr;`t-N`t^g z9~Q-<-Ns^WV;MGjIB_<{=<7QA7;W?}HdL&~sTdX`6=MCw+-MpXFx7^$GAk2Oni#BK< ze?wSrFZ3IESlPL$baonK|E&`bZjiw91s>%&1tK{Qe<97yWEQ1TLTVGHqCS1vnC+@j zU+8lQw?*7*6QABSvKcUdVTg>YeAhPfedY*Z`-+{BBtVF&wB@YnF&wxuC!6w%)vFsz z_%9BZadvj`;(9$lV9|vwN`izmBWO-^k|rEOfm4LDKnwsKunv{5aPHl=q+d=pkqo~s zWIEO~E+=2X%J+1*XUQ5P-ECP~4p8;xEzUEKXZQMglYYrC?@ zrn&$C6kY}l>B+f|iE47oJZf`CJvXW{CVC30=lnA@)kDx40d>q*2mBUhV+sk7RZQ_E z(i*zExVMPnO~t&&xqFp;*Fx-V&Hgc;ooP_}PugT~cep%YEO)a^0P{QFAu}ow>1$qz zrJ6`EUCUuE83On)VY)ow*HYNS{#f%;V1t+Z8i z=%A`=5GA4WM&mijhU78*l(RD5Bbi+b9`8qV%{Z+hn-fpY5ufc7i}wQ^Pz_``Kdo z(p15YDIrnd22|7*+nL!+MWuhE8uIK#{rDp@Z!Pp7gmia(=`bZ%%zVWaoHu4_BxqySepOY6m$b}-5#R?kKUT5HgW z7A=*t*1=x|eMeXKH?X^Q9>1;qbaQ(%%r4F^ z4hM5x+R_9;+ue!H2Wq`DI)+oJ=Gvx$WhyJq#uNfLnl{_$mdN?M#R`nIk50*EHot)*On19YI&Q{GSl^=wE`(yYU&)+VgvNB#(ecHvHz* zXk^81M`c-FsUgWLlyy^gXDl;cUb-m8smcp4lNcVsjf+Bu*-9q-Cl`qjReimH3yxv|i? z+05a69jDfBm$CF=B12j>1tEq*BZU?Sx3ijcg+t~cLt4r`I=F^ai`HCW#yc=VktRN) zo2t5MYt0UQj5byi9aI4ZMp>q5vxHmu?TnD6K+LEtCUhxa8_;V9vv!2d+@`dOJFD^1 zZ;`-w>bsrQ%sbyXTf2+dKXpfDw~r_HG`BMt?%_uP`#8SYR4?CP zW_>-a3=~61)xj~?&CRXHd3V5j-o<cxeP!|~kVtwCK}Vn3y<$A(o!;w>v7{UWYL_wjPIsq|T6B?Tl^lmQwY3&(ozfgrnG0lPxn%{h%wZ4eFH@!YI+ zIpcN6<{fNx+xxH4Kw$?CWk<)R4DF5<|P%DtdAs^ z>9g?(NqQ8qpP=yKF!k-W>?q(UJCVDH5w_<>Hj1)ll7|my;LcegJy5 zNWu_Tl5`b%%qcZjO%tdMj)CL(!`tiUHb&G@WS`}>_TF3Tt~yLfs>U)7pt*NaqpHju z4kg2q!7(zYoq#DqSzAD{jtt$AuFj6Y3~rpY4w(ki##qFLjX^h#K+rR(-m@1}RU*zl zMefmPeG^OBWG_=>s@U^yBJ){NicQ09!NU42Q`R==tuIljwV98#P2TpNctc za~gO~-vKmdDdm%@Gb2>8n@J2v0<*aRw%8dr$Tm;q#6Q%%sw3U()NgqkN>nsTPUcO{ z8{V}+f_rOv??S%$?f3m({^2kGcfauWfA*cPfAi6MA6%V)VP>`po3;bk&DN+bA~--w z1f6qUkcd!*P*kLMrK}>WjLf<0(TN7`KtqO%0f(pz^nipj{E%(wA}wZ!s7edXj0g!3 zouXmrny%~V>h{{qaDD*?TGJf6I^*=Lb{^P4hCKY6`;wBvGK!%=a{a?%2_ZaY>jhPw zgmQ{}lT0>=PYa2OVw2LrsdJsAS)r?4x?FIgQCH!f*fG(_%)iAQeUj}wZbJiRO>{QMiDS;}} z4`LXVt@GtnB#vo zFv1`LHwcR&Y}@j7s3W;U_Ao$wbT>yTxQKWekFnH`3WNKuFzA0sK*1j+M|VdDvdAPR{IvSq5O>D|>;Lw07Mjsv#T zq(W+#+G0cQ`DwDnEViEOP>~!)vXeENZH}T*MD*NAahPA9HOH3qL{Z|Mk^DLylE#}d znb-~DPBSb;r=?71w7bM3qYfb8Hpam7;qds}p3s1~Qlxuau~P4y-~03Ly!V^G z^VNUyr7!-SpZ&Dzqrd+Ci&N(?H|r9FGvVkcOKvtyWDFCF)>JC&Lu3pUQ60K=Rav`; zgoSfpm;fEFxyP=F@*D~gSHK-ABCrlu7l;5usH!9zNx>i?B2jiCU7NPk>2&I=UtNyl zIO1s98k(Up$#%w|=sllevdci4CWKRhcJQ5qLsWf$%ORqINd9u2nkZ@l>my>SX-V&N z4|Fe3Q&&;Mt&}O4^=V<{&G+J!KkSV*={_q%>NFKKRf0tz?dF{rP9Yz_wT>G={;13w z=Rv`)mF46_HrWrG!VJq4bu)j+3(Y;OuBaR37c+ly^J?F*Lp0k)*DCw=u`~N|zM4Br zLNHU3%l|F3!CG;EV`5;&l}?+LBtcBBEU7FKiW}ux-{xicNaKtSvP3JJZHGfr$)UAS zrDW!|Vs9A3$k83kqK}_ko*%6(Vm^doYU%{U4DcaJSTl4&)WdL?i@L($4N(;BCQfH88(rz1MZxAClRg~=Z!_g2)0oM$(J|tY*|gsS6T1)a{QTj~)ic1e#XYRs z=zZ;DZMH+ZvB0Op&+$`aHa?3~gTn~_;blguE~wc?bUke56$DgF5|@mH#wq(f03i2#Cz z>bi-1ufRr_5Ao<$Awcx&3+OO;c(EBOh`|Bb3SQ>0@jB%KdQ$f+2#KAQ%?spa(Wg<) z@zhlr+4B+;3Q$=S76^(HIX5@U+>U9Mak&E;5KmX46{da%=%U}B9&;86h z%c9@<>!+uVVX(1^K(#qY88OL$Abk)pSvZE!jHIb>u<~YmZzAi^b@b7DH)Jh%DV_!p z>_L=f2D20BWU~o3qWyg)n<$~=se`1`q>1&>N$I2Y^>lM{Wn&zUM|W3kYK3WI?>1^S zB|g9;v$=3B;~v28eojT9s&#Eq3=@`)Cm~K910&;RUM8@0;JRu%a66$`c(0yB(4Jhu6@PGL6D&}q1 zmSf_y9j?gdr(-ltooCf>NVxBQg76w#H6O~vRNJ$wo15#)v$N&$a@Dpt4TP9M2&mbZ?SYF`l2Ti7sGP11=;&}k zTDLN1wP%%AvZab(7Y_HzqqJ%P!{k!qb_E2r0YLAEjW97DjJOd}V*NrSpCx>$?CU>!pT%~Z{Y zW9sfaeznJ58$HD|ojR{);5+&EX`JD{g?(R^;EC~AF)UQ36Q_l#^DSgdn>Meewl(Y- z76Z&GYu8{xAFi4+xc9N=YJLfc@#FPOaFV`hTQ5bFVc2=rHzK9lp_Kto@Kz?TM9D^X zIIiJ1bI0Kr8W@ucD0s|i7ek$j-a9}4%kMt=&42mTFMsJ5Klh)0dTH|Szx(X^cC3zJ zs{*2m0i!65W;BvU8$uc8GFFP2hzt(t)M&OPeW*xhcyVLcfJ;ZuK1uE>>MCBMFVPvi ziB8?)A|k^r8Z;oYqPkJkMz$`Ab~$}Lold9W=0}gJxF+H;;k%sv*}!ndfJ+5T#V;6G_y2nf>tU ztG`yrTc}rVYI=&hA-j9!5Nl5sa1w7bk$mGdU&*!s&|mwtU;DwY_-DWMhs;K$skn+} zEdM2_$}kvvJTUo~P}}*y{JUP0Muq85lU2yiYIUD}0rvmj*?{;xSgcVV%(|EaDyerI zyQ{$b#^ld84>CSz-g10sH1}{qqJfjlzzj190jP-x`Bn#KaX)F9hd}{78-r+ei<+4f zxzx1-@$}9ak5Xmf)y?|Z&%E*QwKqR_eA(I|5q9MUOej?Np-lYl*vQ0&*$dd?CZpg1 zkT6gbZk>#B%_2L7spKmV6@qAn$h{;P{j1`_gI~Y7d6CuXWyCpIrvJ$Emk7iJP>G(?G?JvuoiRCX{b7~IDg#k%^|1$2TdPtgGKn8^$t=Wd|n zb}|YHL%8(~sNHjT)j;hJ>Rp)*D^bQ|_t=zKy*R(uvpKg`gIanHeeyuwK`_T%2Sfm3 z9Gvf(CxtdKtK(xp43DZK<>?vM?a#AS5sbQz$V3E)iV|8|@*sz2i)>*$XMZg=1$j@&i)(_Ci7&-JyNLK{v zlh>GOSJP?D#VsYhIYVBjj0I##x(I*umwo|1?D50R+yC}ke_V=-b=LM;CuZIGuD-W6 zwp=|`5Ix2-D7+h%ROV163u;?-?3XoxaHD1iL)+*-M@aa9F9A8e=djD1;{qP08<$6+9!ck=5en!#ziQsi>$>T29`f1_+pPv1QzG zrgtLkc1jKlk7Sup8K;0s5iGauEc?`rmaQ<{Cqq^DLe4VZ04A|1o_=Z;$<=QAT*8D> zsN5_DZs3W7}aDlJBDYg;?(Wo8+#qJ{eGbA zF-l2z@fO(>JU(*Uzicrwdy%_a?<-Nc3c+w}W@oBdpXx95Q?2t3IG0}8teq2_ursbm zqr*ualDemYvmU+LeS_$=uaoP-L|L8yc|eB0Z)I6WPG%zM>#)P+>;u^*IjXs4lc)3o znWC{nYbYb<6BZYI@bcuS`by^QRme%!KKZ7+w&%AdaoshhNj@x-i7iw|HnAv9;*W5a;nY&0kKfn0a_dfWI-~PQ{ z`tN`7r~jk37Ll)g^U>26t62=?L2CKKU%6a_4tqUiJhQ6W_zOQT?2!QsO^dss4Ke|=qVPq${~$Fl{{ z)~<=!DYUX3cT%bu#7bN2y~m3~H{~D& zWsl2uuSw$bd0`MltgUtz*a2FytB4QB2$i*GMHX}gn=mz@x1_r$!I>YQ0R=4IIB zlV}bYg9)iiq^Duu4$1Thr=(6LSey2eE&k*e?`Y2YAg$jA)-@03W?0sh(DA1i}g{FkDfgJ;DaY`zVYTy z{;fC8kNV>BbbIOv?;WC|swF3yBX3fEgxrnDps=_~6fs_nItU-;R{aE7sAal!scH*R z#j668E2BwsWUiL|plT2lF`Hvu*I}K&9B<5W#b$QTPG^-Yq(n}IR$3vPx!umEP7c>p zMdNlw>ud|))mmx7?Cs2A-qjQ}$L4aRi!&kU)Hc}3?o0AFy^2&}As8&4oW+g1&2ndF8Q0)ekyCYb=H*wkt-XB7nnY z2CGmc%}W56_%HofPUFN>WckBRGlqSg0VbbBbPlUETNw0GNxD z`IMeCCt1-O$?FIuOkvC+QwrzMv+d&YrZB&MI`SgCy1o6`pZc`n@c8M~;cy0|k049q2#@Ee_0vX#vZ;tSNoU z6M#AEVOJyUcZxTri=W|_)Y@|u!qAn+im5C2H&gC%Y!9b+F-`S`sZu0;J06?c7J9Nm zO@+%|UbYSKOzL`mO|pCwf^DHJhY0`am%o4?_IQ=9CCpZVX=^j{BIOtw%HvAZXo7~d8A zU<9qiG2C04ljsnX19{Wqfx=;phx_;6yt;ah0=#CukKTiyj7fE($HqAl(?1S4ziLzhE%P*G#yfO^Esr+YE?qOjkDu$ViPaSKd) z8W6|xu%rztjUV?r!FYwDQt;|KQY`C5xiG$I!$O=W3U`ABCHs@iOr^5F+_J@a4z}1* zJZ1HTX7J30C{zw1(cfT^mfAONPkVcq*1B_AXLUNd~ zGmgiQ&YmH0$}sKHt*^tz=pCx=keH1$B{A1Snrhyci^42mZOoQhAOfuD;S7@6nwUk= z-s$%G_H^U$BjD|@paT0dfw|-@0~RHO?zXuYW&5#}KbP=@!lAfw0okHBkD>|@s`7L@ zaKea)W7(EX1oltFwNyZ~?EdzQ$83VYhQgYi5-}=PQB$$drEKq{#@x}Y5hxEEZ=h5R zZ^w81pvMn4Z$6c7WER19Dx}QLbS~nw2Wl%MocrOMj*ibYY`qrBvDjqBVZmxNm5$qO{wkA@`ajH+XOMD)lUA%sZR5 zx$}us0~FTb-RbBJ!c8cR*~8QV$~}7Y_zQpU=N5^4deZ4J`Opk(fDuDTqX-N_c!PBp zmuTLaMQ8xL!Mj7mEeG*NO~VGfXJCwy;5$r6GLfMM1p*4RDcnpfy2rW0gyN!Zetz%a z;p}|9xq&Fg03zIeTHC3$W}>DhJA+a5>>a7xF>*W8l6zHdKQYhGX5j+T3d}Sn->8b2 zsxGQSv^R6p;ckEpfH9^)h!HVlcR)#V_sUe965{(G(w3&F1&X9f%U6|>x%ZahF|~Ra zY^jLa4*GgFEGc<_V^(UEP?Jc+lm3|d{&RC>)6&j1TKgrIvUKzH8PuGyYXXU0QIQ*; zvngY>RSBcTRP-DSl8saV2YO!v4(URGi&Eef+bOpwmye}W0YWY=F5ds(@o)X>uXg)| zzx(c|^Jg|L}G}wXYK?dr!-PP%{Z(xstH77h{_m4Wps(U z0qZ>`V$)$9!yz+|C(btqYp#U?gW>`OZA2H!$orLUy^nZZ%u*z&a_{!`W?gUH?07V9 z%YwxvIu>Q@2dMb}3?Ww-dgs8SR%!;}cF)HjDlOf=P*+g$1g_D>Yjm^Ww%hUI33p(u zsDkNWMg6jDk?53yx~`ejmZx~C&Yh;)c_%5}b?P^WGYy{K71ST_cm?n6B$7obCT=$2C0s>@+u?A$fA6)AZf+9xyY=2x*R`Jx{m|QJ z+1hz{1z)`~Aj@;w`QmfuUf#7$EM||k4Pu4c9VsT>OkLY(qnR&m-ePQ?yTr`7@Hq$( zM*amnbEqPhV!$=3EYju|o#gYRq%}*pHBr%KwJT1z$Ft!VhjeagC*-T*U#V%*e1&=2 z7%t$hkxDJH>96hYDW{l}!X8+pX-pJfNUbzzIkIH1E*@M*P3a)U;n?uzwr5Y-}(Hz?|ki>kG}um^~v3>udB7? z&_vBsDP}hw7qZ)cs18Tqzaeg1X%vw$jOoUyP`e4K!%k)fu0RVuX7(Nf02db^#$9OC z+lwg7Mhv=NxR9LyhQ++$U|A`Cu1(i=b93o8wj3P})i8=ElCKQBd!;*g_3qucjg+&} zO$j*?+?CqS;jJQ~O`5i*ZE4z0UAeB-PXm2~(^Y0EKi;d;B}mNC_9YM=8UhKmrd4yy zY`EBg&;+IZz3|o@gEir5IiTs-m2iH78~zVGUZLk?$ff)20W^I3dh8Z6?lP%E?5xS1 z%g*Hp_%I_SsFRwG(ewv*N8K`GpT?2dE2&}@4MT%qeIhP=bOE1&5*CGEcOgVOdYn@Y`gWTdMN}*qtThdl|8$rLrN@%!}H72 zv*))DA08ilbiEuFZss#@10q7$fQVrLBt#;(2KS%=!wa8Nsxug2lWo)B%WDEz^74tA2b!k!! zDDxA&zM#G~{a^C@;^O@eKmOf+^ZRCB{JZbI^KaTn4i_`t+-dk~fW7t*cS+#dp2 zEgsq-0=g~*Xi_+t7Pbyhazhyt`B9m-*_(=0rA|Ufv$R4})2G&%YqAfF&&S@QDS8cN zKFwX?LeBD_I8zfvCTxi%%mR=2XSKizn*d;j?k3=iZkZsWL4ecfL15XmYMD;IQ%3u6 z2KKD)X7I{Ks3Tj??OhJ0rxqv`90+gpdmXkj}b0f#@^hF0{6*F8eOaPtE87l zop6oN*4(?>KzzIhKLiT=c)WM-;=%J5k3m+8m-wpTJ}jo3dfBHfc3VujXFf=>9rHjG z^--vAPw8#qH1Vw}>yGjNxA(10k{!o&=Vaa6^VkO#B0&PCC{m(C>OnDRQvTqd;h*3i z>F<^zEXkrM%Cu~U9SnykgC+!Gfd%$4Gu^i`{UIM!J+s7)BOGB1?jmE+-P3(<-Ku1dFO!cdhBllEhNz{Kus?qr$O>8u=Qw6KoLHct94#{sXqt>e zunoSj+?7mpwju8r^)9vpZk#K2B$}hLBaxZFz{W09@ZOxY+jRYL-(~# zC7jbo!E}q397-QjYHPDWqpsUhb)?Q7z%sBVnOnthX$}S-?oPE1BKtD}UT@FYJ&d5S z#8yWtOJ$TXhlIJ#v;i3`1Y1dyeDs*=Sniq_nX(w;MG!+(2NOAhzu^iXk?B0O2C1aO zF!ysXjt$=b;G=)}FWxJ`m3kURdhKHO|B9$Vxxh~d@$0EsYJv*x$zx|!#W zWV-}YC8HStXhtVU~9zJ^e`HN?Sx6TuQ-Bh(}@7;RW zF0Gku*?HCZvJyI+v4^(G4CmBx!AND9Fx{Gi5d0S+Gz%lnokFek))sBcrrn*Zs+~xr z98?!RLqR&zK^3H7NB9fJ7hcpI(5c4Vgh`#cOM|De8J(IFF$JLxr%B!3y`?4+a&Hi}Uk;{OIF9{qrAp{ox;f`>TKS?XOUte(=$Y{lV09+cvPJt5a7LHCo#8@bdB1)rLgq+3KVS}Ip z2o`io<1XxZq|d`rE(@uG6|1gFKk_6ZhjtL5G}-psb}&^n&v?lA3x-YRk8QKWo_uCu z4UiMLgq4TfMD3qH?$a@#$Td2VhM$2^awWTXBeH}o3c40Z zu4IlTYqc$X>Z z3Pd8NS*RuM4=gjeHp6pPfEDBQfFP62R_fbKVR5F}FA?G-Fn7=-t%@{RN;N`cU6)@y z{p{i8?rf#@-qwX(BAqsaYD9M$QBhH96YEaU4Fnq40clXL9@_$hFTiFRRV(~|5qR@6 zPHJI6Wp1TA8I}^)W}9z|B@z<~)5d@J;K}*f#m&u?m+~j*eMUF!YgcPl1B`~?Nbtx! z;NbW4?aU}>xZ`}4%IbAwSRskp8WJK+VT6dLhLdG$%hETaSX9DDBs<{b(H;YkfDvFc zbBBU{{22lTMLlE6Kr{$4a&Mtv5`g7DMN3tBKaoztu`=k#BinGsBO@~?C1=Tp@kpUC zBul1yF45$l4Cz&L7t*T=>&CqjLnMSRg=dKiQvU%ntK@STI!ycC_941`Q9JA`-i{xrKQO)K74Vr?_Ia;pa$;Nh2o7N8=xiz z6EU?WBA|J_e>F9)&E3@xf3s_2-&8t9$llmCJ!s$56dHXF!3KzdOZs0Y(m(^d0O|!H zJrs919I$!1uw^Q_@bdCeTbApqm)F-Xcjp&?tRRF{+yzO*xhw(JCJ&f|Z_Gt!h?4wK z=sdzyC}z%{AMRJl+5C;N+=N}59*+ddaa;c&x(*%Lp zg-I|eKf_T_Q9zC7NMe4&xKC3!ORgZI4@?M7*KN_MIg%Pn=Q(y`FKa7MH>SxuO#}t7 zR)q1;6%88>PxEAlIQ@Y7R1;7Sb(Mon`s!aNiXQPLHIYZLM?G>E4O$ zmtF1v0Y@gh<$6q%<)odh-PX8oCD(x|NGE%mhCRpoEzB4U0M!&edM;KV8Od zFEAjW+x`9+>$-dR@a^lHE1|%;!TPps?Pl9{J(IYyZCW{Ja#=&XC#>}44q)qbCeuX| z#3$+Xuo9NVN^WR35N$EFzUa~y)y3MX+6~rW-b{Qlp5V4a+$%A3ignL@gJfrruF*Xz z9!P=6By`R-00MzQQMObWNnRHqbgKDLm4TIN9e`AT@d|;~M|u{@Y)p=^%nS?PNrKN> zC@|#<((6f2x3{qiDeZlNDq5gv zKOmr8$qnozd-uv8n>LXyU78bW@7*klFVhUoOOS}!*1X4#!HmtI4YbyTjYM0CjRzbs z`{F6!#o1+(<>kxIu3o)7J6G7cEDQW-o)er7cf8}25Kv`iAsmr|BIBzP=y^~KK}c&W z8O1qUo|F^vz>UJ~(6y)d%71NsF+_T#sfTO5;&xIPD-|9GMGl$`?TrFMgG2(E83xSx z{Bb|)Z3d_e`BrIOVIqyFm*rddncgS}G^^z?xdfS-`;*4l(ZA{Y%k{8Y07C_}!g`J4 zjIla(_8=NIW$a7ob+O`eK zQ7#q|3ruE4+G_Rl;f}!C&%Cm(bTGKj#`H{G&mA8gQ`jEv}Pc^gmH;TGte|kyAt;3(UWJ-KJ3~h zyCbQp^+q$e? zCv0=$I%RT@^5g@ZeGS9d30W_(VNw;UyjGp~(?%+0o&QuVcL-ZBj?pNF&dT{ua!7HJ zl$14;V-ZGFASpI=Ov;kzc#>?D45}H_EQ(8LHaR=XQ-t}SkZ5tGTIpP-0bwVaF38|- zRP}JU@kCRSg4RUD%I%7@3sS?CHO{tNo?m|Y{Ka4V_-}w8{Ly#b`Sv&85%M2?@$A)& zs`d`-fpuLyz8+1kKvhDGrY0f^6NQR3LOUUpg}o^^Ved+ks$O|SMB26;dUr1)1n$`P z%@54#a>h@6nwc~|o7$Q~&9z~}wy76~j+76>Zr#bFw_m>c?CR>JonNTgvY`2GLptQL zxxXp)*)5`2ma>!(gi(H{+DiY-Wv?s(SyvGeKN=^pmxYI$4xpp^DZ(I<8KSVLr#K`C zs^|uxadSzAXL6z?RwyBUmelQpBnUgNOoPuK_o_K*#3;yEMRtmJavC`$NLtV-V$E~> zv%pxCznj$_!@C-2F)$)hj?6yHdf}=iY%LasotY(k{jm#WKmwz0w`*sYwqh2u_L_V? z{k+5kG7F`9u~26?rtvU^b<@s@!)T#`$I`|eq8d;vEYiy`pQl2RQCyYofTV~Vy1xI5 zkH7I-U;EiVeCp{~grXpKm|i`cpmA~}l$NIV4{&R)YZv+%HLAeVEX}LnriM)KeKV>P ztf7fp8N)cDTSevp0n<&ra-2q8vku*zJ-B@E__NPGme!c1cY4>Zy{mTZ%^J0n3_Ch| z@QoJ}`DJ7RBjU|udEY!4zC3SLO#>L%N~D>YkgcujYG&G-wxyeyO7CWIqSGweAWU}j zBydW-gd*0#*8tqM3{sA+q1idv5PD9B?aOd!=5rLEg+Q+dwelhaMGtbBqRcgu`qCxm?X;H|5x7uVNmZPGjd03ZNKL_t*7x>Fcz!2-!v9YKWYHYygd z+VVtMB{L9}&|pa=E^Ni1-Xabj9w%D*DoGrI^$xvn1|6QK+zh;CF!XKds`7YS5M&uJ zVVG6YX9)b^>rP~qOu*OO@Xol`v2GyTy15`R+Z4n=IHw4XvckT);lLy$580+m6H1d1 zE#65fM3z%+`Qr@ZE-@h%mk(l}4BX=-W@h2ARxzQ(q^)wz6By=s%6uRXGq|)F*T&>H zjSH1vL*N21BS2&nn91*jUl8c3O?%We&ieXk6fz@TDS#50rPWFRzx?po_rLo)OGEG0 z8eq0**R88{Q|(a>zlWd1Z6r0b?naWSsj2m@YF)j$f&!2hy`y~BS`(4Q%liu#X|hNQ zCXnd;Az9TZ1wM9Nx2+#`rhOZl03h+`;giPxUtWCbfYb~MQ}gCqUHhhO5qb}};Njdg zjXly1HjMT6iYFRtH^2Y@4x`H<7mAH&<~b%&Ck(zM0Sj#L7O@>L@0>Of;EbVzBf^K5 zy1*s?Hc;W@!DGRe)M{?pg?Xpr9JKd{E^TDlD85|i!#O_jhEs`yQ>I><4yL$PsySlx z(46cfSTyw`=D_}BJ7wmGrAG7hO=)2D)ieM@IG3)C?J*Fh+qMV2Z3KnQ+ZnitFJYyJ zv$}5LV`co z7|e?(2WF$Y^I;Z6fEJ*Ws;b^dH~jZ%Q50CsTEwO;8waz)os?`|K!t+Cp_^~8iPAux zUpzcJyL|QP`Ss1Kot+uZys}9kn~Z=KA$m2FnJx=r`}@HVNtnnqC3poq0kQN&c3Fc@ zvUKMG-1IOJfXypEjUuI?`6_zntBs5xgyoj@-f-I0FHix#qDG?E%G#$W$`NEOH@*or7c2P+GxQO#VrXEy{js^_N}{)jQu8Yetx+${*U*6{_@p} zGXPi@TTD#QrZ7pUh;+;+lSM_WBX`@Nm{cUGj|ggmXcRLi;O!rY{69NAqw9ubPudh_lCIMy|62$@!EN&UgOn3X8dQt!j}% zZ4o>NEt7uYmwrC7Yc3s+)-g2ga1*(&tfrQ-BKW!3IQZYIJ#4LQz-EA;^B)|um0-Cf35n%Z~yj}-}}l#P~QLLvzM>-UA1oq z080~Tt)bD@)>dyFkvdz=JSEB$m0y*g=#~wfv|D7)Crb1!5J!P+Y3}oIZ7RV*EnBHJ zk44i2z^2;GQ&ntWd1ALa`~B~H_wRrHvk#yC>cTFtqM;!wMHl2v@7gd0EQQ4su^vw4 zf?i`6eG3FMX$bC)qSQ^=UWA7xq(>anayG|%=>f>(h*?k{=~kQnl>Zs;r(fP3)3Us2 z+`~DU-W8|OJ5#Vk7-buch4l{%jA+9ANCYB@&JgvL$B|euQ*ZIga1Eq3aD``z+N0di z;gc;Ld#nsodmVWq^E=GE>fsH}Cz~#BM-Egc7D_z0^{HEtM(eYPh>EIK`NpV#?=V+G z(^h(Q1o7bMy;PgXHj&0mu10GjSJyZH_^VI8{PyEteDG30S(c!Uqy%A$O11#3!&_Jy z44rIde%uFuxb+jAU0j8WW_@v&Yhjp?^h_1P=vDY8kT|rds;X_OW+>TVP!HBD%li27 z6NB}>2jGIPZ%g0yecSbA>$)}tnwc4;!PLC~B%ofxJ_I)?2A%va0@HNh!Rqu%z76`0 zv;UP@Pm!gmSzA=q7VWwg`IjgqKwx=~CvC^n0wW@9#r}aE>j)n+c2Y?) z7W2w$#o~IMZiK2cfF8z^Scp-%Uy%(MBUov1%quGp6ZnW&dY)(VkWP}SW7-MYHRRMptw$qc6FXS;9z?suMk{NdI0 zD*!uNu>jVD$TYY-0uvJN?u%m4lF_-)Aq|XHJ+4gPwKEqdxo9l}9{kTZXy3x?S=NkJ#K8f$Bq)0vK6@XqIN9`~`{;Gy)a7Vc^x0tXz{CE?DCoV3HzAo5f& z=?_W-m`viII2N0bc~$17nj(_^R2kK{{8vV{bboMSjI?fxF_XgvoH$a@Nva@+{{*>l zOrPa6?<3Go%3yY{1YH^qN`fX?aNYAZqrZ2C@GYR93lL+Z4LB!MB&n2gY_wM*A;1ql zeD;HPzbpdKgbUcghD09#mJmJ_26cJjugmDkv-_qV7+~rH@ja!NX>(=f_#|a&tls2v zAV6~yLqyC}EW#&&WQaxd;lqd2?a;%pk|tYk+je%?wnh7D-LROmk>|EypiWW>ZonVi zTaNisQ50aHjW`Y%X2N9E!CW(_)3b4+@v@J_pyY$w&sc!Dk)d7QF&oii&Q}&W|mR)l!SqO84F`I%kd30+YWnVO|RX$6KS-uV2GHU zMSlVkB@oE-^NSZRU;gAj{-pQsedk+WefzC5@-5h>pT4;6s@viE(Au(|gFV_x3y3v5 z790VHsrYRu)`?R_&p#5?YDY5tQ}X#TlMU_W0j4px6n6Ekdn&p6Sa0RDLz)po-q$JFLA{fw7sF4( zj5IU9hn#vLpky5cJ4gn?y&!eU0IHFm)W>M*p_$JmnV)H?OiP?iY{(2UuzW;gCh<#m zn)un(V%g&R3O2@O76YRgj$(ns;Wfom3o0x%oabvny}E&_LsA1G&mkd1fO*TKnhD7j zky}ENA3lAy2+z(IkX|Ao8=1yDfymJh;!QlChZO^KM(Iwpz@RRmEc21eD~nO`KBbDJ zwa{6HEP4ZN5efMkx+uc}xHy;JckJar7x3tWkx2FcFVNHfk=a$pXR)(e}7i7e8#)|R#`O_#0*(M35$kTYc| zMFmSJCrcC@nb7JaiNYfG4>edn&%fsOJDF)zSVp<%)m4`~2N@KtoSE1YCCg!2G z?sly$kw_;c0SPmqDAY4X;BIEx#o5KnS1(qy_e%BM4dFo%Ad+Uq{WEUSs)(3sT*4EO zg$;lf+E+D!>Df-6Jh@zCd;a3tx-Mpha~R-9;>3@{nS=+7WuK)a9wG`j(kiL*$nr!_ zQrv>#)hZdp)qc zHST4-VdAGmarx;$Y@lPoaAu|}BG`gQnmIkR6Ob*1S9c8%q2q8)WNt|20wIGiNWY8n zXxb^+Cs!WE;-rm%*cV^*BP(r6WOgGaLdWS4Eth7xqOx{nVqmv{a#G>IWGbDQxDz5wyc6|Er%iV4PWIZ!m zcStm1ej1Eso;czc0XapsCPSgqBoyxvy$Ma-sF66R;%lm@iQSmXZwtG!HBsG3>x;B5 zt#LI`F>xqDx@_f`Xv&m=CAh<)CC3Mc79A2bWB=y}@=d&h44$P4fI>h)f7AWS!BDiG z37Q5#6-}zNShA9XuH<@8elD~f4?8>qA&`oLOU;$K96M$8l+#2@>aw6u@Mp%PRSnzz z#ubaRhDh`DEO$bLN`?Vci@KU#EZ2k==a<*lS3mvFKUMwSZ-3*Rw;rxvfA=vAAAk0u zHHv#vxTa^o!WkcnEEJXS!>2V3AS$KSWSMal6*Pp;5XBJ;mLwq*b)+FwE@0Y!Zi1$z zs1e)%RB?IH-g#Rt&-m)qiw76ytnGoNhATyJ?8PdnXQ|uB$+O0J=ZZ!Kr81y4nh+}m zo=!$-l;yyijn{{5@1eK~>C>HHlXtzK2-5CA!Z*5WCe=&OREXfrttfUb+I!QukM-tO zmrb;qdcwj!v2?T75*^uRNW5MerMPWeIAUyZ=*+|9$&wmC0B*RXUadKf8;)9Zw;v;8 z;+8_h*U08?!~;Z}V>+no*YwJ-buDC75C3^7WQ)tysjQC3ee?vtJnQ-(N6kVc{{(nLA@QdEO> zQ>9ns@=S+3il?Rm0~)jbnu6hqCWvkc{ow{-uCuS7=FXcM`gXHBdwg-WT)p~C>;czh z#W|%p-i7tvx84>J73+vIVj9OMIH)eSAQYQxK?7k?kjx@`7G`3Ne*3c!7+$G6}OF4)zsW1LkbUHD|G4T#gDRO3JuHJEe)`m}-ljGxZG)yE0 z@JP3fJ1HOvk*FVragZ>ph;;~|b;59DU||Y9p_sW?VAkrhwhPaO)zkobDrIQ#S=`zr zVSQ=4bsYBLPatFA7KmAWXQTyX>e*N9Y588Y0J~Z@w zZvZSxYgJQk0PqB00+~(Knn0q{HGpur=!UM|3|Er~3-0>LdRwE;5a8;I?AIaCs3cmP z!W~{vB#A2_#IoS=qlf$J7uVO9pz}!Rlyw0zPo*en5*?TvYN-NI?gn4*!lPqPV_OJ< z&8W?Y6>FRs$ewi|(TIY|Mp=vvbmn^&vkFQPKGqC{yuKxB@nv6)5Hd_?8W zz!4=!;nc3fwM2^h z794aL0M9@vY=sUYJj8_!bBT%B*X!YbOH8B_kt+;c+r!7$E$7m9%h~yQetCZW==|)# zvYttkv;=)t;lhbbF2JHPHfFq&p1zj+++imGDeryd;RjFA^*}b$ z9%7a7?8{9dgiyPQSeGtc=srwjLsL_zshVhHQf81ms4AO#>!33N6zNDq&6Md-NLiv2 zd{O|`ZGYHbe1hHX^02?Uxq0P&AXV+wP0vhwTh;|jF@p^Q;FLT4Rwe?Dt$ZsR z%R^<15TJ`aJMAmT$CXyYxHP>fQ)$tK~{-_m=*zp zmYeQ#$32R2SsE?AGQ*&C2Nt#B?5NbN+?m^R;M5MgRL;@d!v{-+MOZQ}QQ~zBUd*&gwZMjDDdZ;%#92k_jBx2}U)j za@)eu-y~a%4@?`uyTQjH2mIho1Lf({Pv3p_V5VKmVBDs#N+$p|SO=R~C%q1*ACB@D z-K^zJJ+TgICbE$G49K~22t=>c7+<1TcI!-o-hene5k_0j@J*Iwp|st$yL@#1;L+v7 zx7V|av$M-}Jzv`5(6Bawf$myn)42O6@UUyAoVn{esTpDRJ7YRv83p_&8p^C_FqHQl2n#w}_-CY{~>2B#xuC86qXM&v2rt*5YIz z2vOvjZ-Z^yfxOWyKUFcw%ys`us`g#!_DEa-}=FN_C!TJ>xg2_OmpXTu1o^$qWzf< z)?LFr#+%jK^?r{5f8aKb0N$-5m0o zUSELWzOH?XTPBZUic6$pJCG59p-J6Y1!*~{K_2P%bKVEJXwNn`sEO|T0va-G{R()bBvnGd|o9m0q-)PHuTh7R( ztJ2$BCZ@^z(E!gTGb;nmCNfezlHj3Rb5qK$a#N)oM>Ea&qK+Mu22qMEO*WC{ow+v9 zLiyKkLjc(D#QXM)?aq!(CEbp{P+#N`dxw<}>YD0OxFO5D4SE{oo-u`9Qe)vxp64ip znp8BtIboL9aOi8s@OS_Sj2#-TA_}qiu{^HVhJVJ@q=#wEf1@f$)j4pX^$suDwyAEm zo-ezdunDsuHF;~w3GO-oN_+6&@&0i0-~aw+`~BCx@wKmQ2S2>#kAV&d1PU`1YWPUg z)=bKcg{|{LW}SqY*b@z zU*4??+bXg!JEfSJ=hz9*njf%}TcYF6n2o5<{V;N*<9wGvfdz}HnX2`^JMaCl9S(=X z;jr(0I~)#bn;(cbM32L4ZZoeFd3{f-5lwB-SRl$9S`P`@wg=JH1OZcFY$w z!%5j!eOab?n;bSETzq2+Ar%PA-{fsGB9;g=F$ha+W`UQKG*fgnp-bitBt#u}aRM^| z)h3V|RL$hC2+@@2uGne*g5z`KYE>BdX9@l&x|3Y%B`aPM17^y^deWXK6kk3nGT zssv4OakiLw;+Q|O|4J1CXtbF27Y02d<>5c@wTxhB-~c3q>R$SkWPzF5r+lI0$RY_1 zn+1juC;D8;*!A_*yYGJU2awhlM9l{PUi)ilB1>!1*0rr{Y$BA!zjP#Z=b6`33w@cV zJI)U)BRO`uKwQiTtar7pXJ@^4?U!3WY+K*@q4&+y5As!<=`J4tQ7q=xER#M%V!92K zq2WyaoS|(H((LH7fjEzyh4Z6W;k!A$XXexx(X(=BVyMcXIU5C1>7MfmzsxSxeAvpw zEaY`Wr5HVgYy0y7G7q*GDgNq>ZD*lVPFo>cTXySC+S*!cd5U&gxp6JBR?-MwTwHE_ zd;0OSi_0gM7ndbQeC4}E^KiZO0Kh~uk_aj5cY%PX$XjJeAPh?8>3{ zam->Cz|7impI$e&gMY6X|K`s=o>n;(IB?5p;-8Gd2tZ|Gjm|maliWXx^Ow^sGJU*q zmM2rXi1ql(<3(5@1dhB1;RLe?xy@M;V-Lr#m=Np;$b=t&ufYv6e{LH6n@yD>7G)$d zBTbG!pRRGMMc{|1LG3 z{MdI2cN#Z1RIz@0KiceBSI)aQ&nt~~%S5=8>k;YnK1b#2Kcc`eQcGCQ{>)6M z8>V^DMADd;>oWCx6Dyc!&s*Y z#2g`r$tLy{%=L{EuhY|}p&-I0Vx~7YH@$RxJ&(&T0MZ5z$I;uYtW-5hQAIWesn^EZ zNI@7v5`Z66&7&y!O(5ERdeqsvrL$RWf>k_T)tQdQ7mBHi){-fr&037s_^!U{oU9wMcHIMN8wK)|#LHAjZkK+KZs5PK#Z z7xeA+zGhBc$A29&r%y6p8&stJ8b~c3MpFExkd02}jBA>~^N7sACW+m|piF~0UNqqZ zc?}vJ*QSN#v7zQ?OJ&kIGU!B16|Fp3niT2NRFpYC6|^uY1caER4)*^@6?y`q6l|@S zmMT6f{{aB4*zK0@IqGv-Gs4=Ccd*ExrYC2cf~%jV@CQybTFSrWvp1?h)VRXb6p?8e zgw_n8tic`;%xT3_hFiY-qqh-#45Dh|DJ&Eb7TEFcUoQ}eSjOptS%1{&e$av$?KRg( z++xIn!3V>GnKC;eT|B1PP}@HI3kL4$>SL$smKa2vbDO>WxFxlwr;_Px&Uia5`}Ezh zq(xUH>Te~GjdBq=Tjx8)Ah4vAS-adFtOrbutFUNC;WY62pw1jtFtmJpmqg8lOX=`p z+VbCwrA-U+cv8$_?GTV^jtkvg_`(#d*0d5&MDW0+P zxf$6a!zV4FbTSl*^bEQZj!}u2MEP$#wGfeE4sg)C-*@iERy?Db8(`6UL`J+NA%KGm z7vYn0J9?gtJLQ5pL7H_>^hj{$^N8H^qJnCC0T+3-JMem6nd&CF5>ncEW z1i*AKXp<+o$Ft1<)co`0Vax17hh=DLfLcd~0KKOU;na*MeqN@y!3>>B^E&SSP)M(f zFOm8l#eq{G41!82y;gew01tdgL_t(}ETlh;6pzNt6b~kjWM|8gT=_drZ9axjVxx66 zPrYTZ2Xxwh<05mk5Q?2_I6RyE2GcV)z!35uYfnD*t^^n~}rf*G82LO4r-FHdN zTL&7@JpY~+CNhE!+*+-l)P3t2OJ`8gSw5%Qbv)R@>vU@|W&c`2q{djYL&W+hT{~L`c z;Su17f6P-6dacBK_&5kT^m+EMM^=$Ai6D(7){Ab-;(O_FnyMVg_$10~8w124XX1$i z{`B5~#wG?s8gpbW=x}Znqx%wPy^@sp{(xZeYWzlyV2-Q9ScLLO`t9f!iA75a zk&*Hnk>gQNSf|n{QTe2Pb>hEQm2E}$$$m0L&lwS4jHp15%^)or&iMMQS_y1is$82lSEq~e+WrG#Coy0^@5Flzb?hsIcM zmbOw$RY~`~0iwftL}is>Gg|lUbXI2Ta#mgFU`%r!OahZ-*Z-iO*V8+?42=E<6wxqu z4FOtHn$fmzd7)SMsa`kHiB6xOh%r&98(+RRm> zG`mMa{rRwx(Ir401guh#$a+jJW%f`fvgjkfJKR^_w1i+p{lkeDz9nBz%P%ASj!Y3q zhrj9gRE_$IT@Y}>sm)4xSDgEU!^mx?X3$3`Ib8jT4WCvse8j}3OQpW0b33nKGqss1 zhh#0>e5gp5Aai_7P#3I8j||Sn60dR-D#QheeJiSwm;p2(a~l;`aDMS|9^{v+@l8^PMK7hx z;U>UU*{0sKE3>*+7Wh@mlxyrl2x0Vkd&JVAy;jkLAFNxPZt7Z|3-)1ni%B0Ku9jAng;xHJC_2S3Q^Xk=m96BxKDdh z>Sb6fp4W!r`0nYV1?N}gVy8r?A#uf<$zCGJ`eM{6SNpH`e?|mlON?ir^d(dWH zQz%X!CbM03n*j|m-qM1Vdoz67cId2oH(Fzd!K9U8DlcVKHtg0X=3mauz3y;5{d5dM zH1zFjuegcix?hTVF#WhnbViQ#K#8U@3OwxpunuaA zXfn@O>|Wi6`fDMRgXH9IAiN~qlo`#h)sS1}_^Pwj(?5@&O+h51JxrZKecz+)zsucV za4Q5-TW}S0xmnA%KJRa_`tX4Jm2`hDmDNtR$X7vvUuHOu8rm#|!0StqJ9t_6wD-FDpU_b-=hMiu0~+q=)Z9-?CIAEn%#H{JT9xZyTTXt_M;Qj(L;CzG7l|PH`{u)&M*2K2U@3MjIq}1 zrPn>lJ1VvwJV+v>K$ta;v35<`vDyo&ug>z&QFhgqQd&L+8p88y78c%2y4(H9> z5QgzwGCEhr1vbl?D04h~(o9FV*4dS9tM{zjyJzikpvu|-cQ-%FT&TRkopr>Y+rQ=W zKvet%{nIXw2x*rL6)xT=iALQykr!l7_!ANU+Wm3KJHllUZ+7l1G#`+KBO#A*D7oPY z8b>M*US)oeP=to*EG$#ZXXOEPno18Nhqh;ggD3&)oQ(nzytfR-AZ!A4FszKyrU=I|BCEpa0%Y*R#50&59pI#v#+D?^@>wsQ{Smxo z!wF9)e5+V0lIn?+pT+0?P*^mKxIKAfooA%UnWDxWA;>hqaxZltiUQs-hT|eubN>#@ zFZfhb?}X$Kr>Qd+KSu;JZmT-qq(qHZY~eibYq zG%VP*p6J^ZLi@5me<})BsWCptx7@~ViS&&Irm)d}7Bj`e90bq#NK_U{82A9L(M;!& zWo3Ptto;WXNF4}B8%=b0I&MF@MZA|lUc)2;bKs%H#O^7HS6l3zcJ=I~B5AlN)kjrKBkxQp9<49MY#Z2-ebrKG}HI84;c9Hy(l78Kgl@ zZpI!8w$z~0-_&}##?c&`a|0SV7q%(cF14idS&Nbjdq3>2rau`qtu1dN*g-8fh&UHW zx$)k_jI>bma!93-zb2`hwvpx7vZ;?*eQw^ns!$kOAU15$bZFkR466+hHCU(+0^?=B zfQNVGU6UwSK~P!(v^Vf8Q!En}X7vC!7f{8&WJL0nSR$s$cGTR>UorT~AIe7vxg211 zJG`U*-n9E-Ax%fdT2(xIf1E(g8NMjVLg9XqK-RiZ>*P8v=if9S5G5{lH&KLRB^C*? z>a;rHOB zN~&A~&vvEI=Z|6Z3hA1$BM;8Z`diWzp#alTB7}v zfMo5iV0hR`+`7)0W_L~2cS^E2$FT(JDQdfu93uqXdy>G^D9_f&uRz$3L9dx49qh01 z+vLWLLbzMXzEUjLkb=uu`x1qD9=+DayIg>{H*S!EpU#Bp?T>LL(pvfcQ67#t4!YEJ za$;HV-}9X@uGb%z7)-zZIJ6o-=fNUO%z}@cp*I^h_ z?cCw2ZWoOP(%`a!J9j1*vn}M)-Z8u6{YlfI+SQOpipZQy9sd&-=K3Srm7~w7_fCzg z{RTf#RLQGa-vT0W#ke8jrR2erqv(8J%Y=v;_lnhg%s?fB=r3E=(c-&h`Bu0c5G6cF z`Em0Nra#g5r}jaQR^PikAhZ^GV|<2O98sk`LFo<@JyFTYHbcAwAg&hkR~UfOk;CZp zNx^r49c9mw14SoV)!^uLRUT;atUxO&wC%BOywCk*p1kYWwAV4hP$<}W1Rjq;N-ulq z;>APs4I6q{%7d?qo9)!JWdau(ez#LJhP^-698dBBV)2v{bmSEwdq;HWwexlDQ0TH@ zMllCjv&ST&e1<%0weqBCc@>81 zsIntMOMxDI1%~sg-$yNvBJB(%CRUKRl_yu=AUS))MVtDr6*qQ8?9__1)Eympy!%Mi z_@Y}G#>luY)IC^*jw+cc@xutp?ngiNd0&}#f}MsO2~>J``iXG%5||&l97XRWY$l0* zU)S_FCfsTkTED@p8~)EO{iNMORlI!XCNl%5p|OCGtM=K6__J8(+V}ZIzD`ZAI;Tiw ztL1bROy>+)xREYILz@zAF%bbzQkroSLP-0=qoT`$7_-Key7uDa&lu9#DLBq}V~VV+ zH@rV7x9-byV-<|wc*&{Yn}=El_ZpVsmKOh!^&Vj9$5!E$Pti!X?933%pk%g=Q;|h_ z7L+^I0}WFAv~xnY|M_74!InYW(N(*}X3W>`)<$XQI~vBNIxWB|v6@Q1z`jrffCY|h)${y|;{T2f2^9|~(v^C(+A>Tyjy4%xEGWi@ z8b-yHRW_^)*fD%lS-`cGlyv>v=~-G)y=wQL42sUb8FTW+qa^SLzK?5e$*XYaUsT%y zrlS2F(MRrPKmHv3$QdI>4J`z~=%g8wk=Bx_%FOEG&7t^&f z@@fAPlf7R4*<@Yjf83Ba+1~rt%5=s4Uk)*3oiZ)s>t&TzfWOk$Hqom8Td)5gDMXhV