{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# IV - 1D computations"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The two following links might help you during the computation of 1D flames :
\n",
"https://cantera.org/documentation/docs-3.0/sphinx/html/matlab/one-dim.html
\n",
"https://cantera.org/science/flames.html\n",
"
\n",
"The first one is about the function that can be used for computing a one dimensional flame and the second one explains the equations that are computed.
\n",
"The main difference between Cantera and a solver like AVBP is that equations are already one dimensional in Cantera."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1. ADIABATIC FLAME - A freely-propagating, premixed flat flame "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
This script will show you the creation of a premixed flame. First the initial solution is created and then, the calculation is performed before plotting the interesting results.
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import cantera as ct\n", "import numpy as np\n", "from matplotlib.pylab import *" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.1 Initial solution" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Import solution" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "gas = ct.Solution('gri30.yaml') # Import gas phases with mixture transport model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Set the parameters" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# General\n", "p = 1e5 # pressure\n", "tin = 600.0 # unburned gas temperature\n", "phi = 0.8 # equivalence ratio\n", "\n", "fuel = {'CH4': 1} # Methane composition\n", "oxidizer = {'O2': 1, 'N2': 3.76} # Oxygen composition" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Set gas state to that of the unburned gas" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "gas.TP = tin, p\n", "gas.set_equivalence_ratio(phi, fuel, oxidizer)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Create the flame and set inlet conditions" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "f = ct.FreeFlame(gas, width=0.02) # Create the free laminar premixed flame specifying the width of the grid\n", "f.inlet.X = gas.X # Inlet condition on mass fraction\n", "f.inlet.T = gas.T # Inlet condition on temperature" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.2 Program starts here" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The idea here is to solve four flames to make the calculation converge. The first flame will be solved without equation energy whereas the others will continue the computation by enabling the calculation using the equation energy and by adding more point to the flame front.
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### First flame" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "..............................................................................\n", "Attempt Newton solution of steady-state problem... failure. \n", "Take 2 timesteps 2.813e-06 2.407\n", "Attempt Newton solution of steady-state problem... failure. \n", "Take 5 timesteps 1.424e-05 1.604\n", "Attempt Newton solution of steady-state problem... failure. \n", "Take 10 timesteps 0.0003649 1.074\n", "Attempt Newton solution of steady-state problem... failure. \n", "Take 20 timesteps 0.006658 -0.5691\n", "Attempt Newton solution of steady-state problem... success.\n", "\n", "Problem solved on [9] point grid(s).\n", "\n", "..............................................................................\n", "grid refinement disabled.\n" ] } ], "source": [ "f.energy_enabled = False # No energy for starters\n", "\n", "tol_ss = [1.0e-5, 1.0e-9] # tolerance [rtol atol] for steady-state problem\n", "tol_ts = [1.0e-5, 1.0e-9] # tolerance [rtol atol] for time stepping\n", "\n", "f.flame.set_steady_tolerances(default=tol_ss)\n", "f.flame.set_transient_tolerances(default=tol_ts)\n", "\n", "# Set calculation parameters\n", "f.set_max_jac_age(50, 50) # Maximum number of times the Jacobian will be used before it \n", " # must be re-evaluated\n", "f.set_time_step(1.0e-5, [2, 5, 10, 20, 80]) # Set time steps (in seconds) whenever Newton convergence fails \n", "f.set_refine_criteria(ratio=10.0, slope=1, curve=1) # Refinement criteria\n", "\n", "# Calculation\n", "loglevel = 1 # amount of diagnostic output (0 to 5)\n", "refine_grid = 'disabled' # 'refine' or 'remesh' to enable refinement\n", " # 'disabled' to disable\n", "\n", "f.solve(loglevel, refine_grid) # solve the flame on the grid\n", "f.save('4-Output/ch4_adiabatic.yaml', 'no energy','solution with no energy') # save solution" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Second flame" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "f.energy_enabled = True # Energy equation enabled\n", "refine_grid = 'refine' # Calculation and save of the results\n", "\n", "f.set_refine_criteria(ratio=5.0, slope=0.5, curve=0.5) # Refinement criteria when energy equation is enabled\n", "\n", "f.solve(loglevel, refine_grid)\n", "f.save('4-Output/ch4_adiabatic.yaml', 'energy', 'solution with the energy equation enabled')" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "mixture-averaged flamespeed = 1.146134 m/s\n" ] } ], "source": [ "print('mixture-averaged flamespeed = {0:7f} m/s'.format(f.velocity[0])) # m/s" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Third flame and so on ..." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "f.set_refine_criteria(ratio=2.0, slope=0.05, curve=0.05) # Refinement criteria should be changed ...\n", "\n", "f.solve(loglevel, refine_grid) \n", "f.save('4-Output/ch4_adiabatic.yaml', 'energy continuation','solution with the energy equation enabled continuation')" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "mixture-averaged flamespeed continuation = 1.076464 m/s\n", "mixture-averaged final T = 2201.307804 K\n" ] } ], "source": [ "points = f.flame.n_points\n", "print('mixture-averaged flamespeed continuation = {0:7f} m/s'.format(f.velocity[0])) # m/s\n", "print('mixture-averaged final T = {0:7f} K'.format(f.T[points - 1])) # K" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Fourth flame and so on ..." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "\n", "f.transport_model = 'Multi' # Switch transport model\n", "\n", "f.solve(loglevel, refine_grid)\n", "\n", "f.save('4-Output/ch4_adiabatic.yaml', 'energy_multi',\n", " 'solution with the multicomponent transport and energy equation enabled')" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "multicomponent flamespeed = 1.081193 m/s\n", "multicomponent final T = 2201.873468 K\n" ] } ], "source": [ "points = f.flame.n_points\n", "print('multicomponent flamespeed = {0:7f} m/s'.format(f.velocity[0])) # m/s\n", "print('multicomponent final T = {0:7f} K'.format(f.T[points - 1])) # K" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You may notice that there are small differences on the flamespeed and on the final temperature between the two transport models, as it was predictable." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.3 Manipulate the results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Save your results" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "ename": "CanteraError", "evalue": "\n*******************************************************************************\nCanteraError thrown by SolutionArray::writeEntry:\nFile '4-Output/ch4_adiabatic.csv' already exists; use option 'overwrite' to replace CSV file.\n*******************************************************************************\n", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mCanteraError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[15], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msave\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m4-Output/ch4_adiabatic.csv\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# Write the velocity, temperature, density, and mole fractions \u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;66;03m# to a CSV file\u001b[39;00m\n", "File \u001b[0;32mbuild/python/cantera/_onedim.pyx:2230\u001b[0m, in \u001b[0;36mcantera._onedim.Sim1D.save\u001b[0;34m()\u001b[0m\n", "\u001b[0;31mCanteraError\u001b[0m: \n*******************************************************************************\nCanteraError thrown by SolutionArray::writeEntry:\nFile '4-Output/ch4_adiabatic.csv' already exists; use option 'overwrite' to replace CSV file.\n*******************************************************************************\n" ] } ], "source": [ "f.save('4-Output/ch4_adiabatic.csv') # Write the velocity, temperature, density, and mole fractions \n", " # to a CSV file" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Plot your results (temperature, density, velocity, ...)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": 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Rq1cvqZ68YhJC+ywTAGFpaZlnb5LHjx+LgIAAqdw777xTqnEVtwdAYeVv3bqlNdH9p59+KrKysvKs6+nTp2LHjh2FPmd+ck5YPn78+BLX86Jp06ZJ9c6YMaPI240ZM0babunSpXqLR5/k6Dmpj799IYrfcxKAcHZ2FufPn9fL68hZb0kVN76oqCipR4Szs7M4ceJEnuXu3bsn6tevL4DsnnVXrlwp1bqKSh/vmZzHaW9vb2nC+pzWrl0rlalfv75QKpWie/fuIjU1NVfZIUOGSGUXLFiQ5/PK8dnI9R1SHEXdf65cuaJV9vbt29K6Fz9TNzc3ERERkauO6Oho4e7uLpULCwvLVUafr/XIkSNi69aternlfL0lkbPnjaZne0Hatm1b6H5RmN9++02YmJhI9bRq1UrMnz9frF+/XqxcuVKMGTNGaktYW1uLjRs3luh5CmIIPScNZT/o3bu39Jo2bdok+vTpU2AvKn9//zyPjULof3/Sd305X8fJkye1eh3269dPpKenF/ocJVFa31O6HNP0/buqqPRxbC8OQ/k7y48uPSf1sV8V95gmV1uJKi8mJ0mvMjIyRNWqVQWQnZR7sVt5zi+fgob45Gw8FXQl5PPnzwtjY+NCv0T11cBMTEwUVlZWAoAYMWJEnmVePJB//fXX+dZ37949qXu8UqkUcXFxpRaXvpOT7777rrT+vffeK1HcRfH48WOtz/jcuXN6qzvn1SpLejt8+LDe4tGnsk5O6utvX4iSJSe3bt2qp1ciivX5N2zYUC/xTZgwocj71JUrV6S/iXfffbdU6yoqfbxnch6njx07lm99tWrVkso5OzuLxMTEPMvduXNH+vHXoUOHPMvI8dkURWl8hxRHUX7AxsfHi5dfflkq9/LLL2utf/EzPXDgQL51rVixQiqnGYaWkz5fa2BgoM7fM5rbiyd9isvBwUGqq6DhpBo522J//vlniZ83NDRU1KtXL9/XZWpqKj7++GNx586dEj9HQQwhOWko+4Fm6hUAok6dOgKAMDMzEyNGjBAhISFi3bp1YsqUKVqJPC8vL/Ho0aNcdel7f9J3fTnfs5xDUUeMGCFUKlWh9ZemknxP6XJM0/fvqqLSx7G9OAzl7yw/pX217sL2K12Tk2XVVqLKixfEIb3avn07Hjx4AADo06cPrK2ttdb7+vri//7v/wAAZ86cyXPC4/T0dPz1118Asrv153d1RwBo0KABOnfurK/wC2Vrawt/f38AkIavFsTe3h4jR47Md321atUwaNAgANmv+88//yyTuHSlUqmwfv16AIBSqSzVi47s378fKpUKAODp6SldoVEfcg7PLgmFQqHXeMozffztl5SXlxd69uypt/r0rbD4hBD46aefAAABAQFo06ZNgfXlfC81V1wtjbrKq+IeD5s0aYKWLVvmu75Vq1bS/SFDhsDW1jbPch4eHvDy8gKQPcXBiwz5synr75CCbNu2Tev2yy+/YPLkyfD19cU///wDADAzM8OSJUvyraNRo0Zo3759vutfeeUV6X5ERIT+gjdwOS80U9DVmTUsLCyk+0W92EZe2rZti2XLlqFx48Z5rs/MzMTy5cvx5Zdf4unTpyV+Hirc48ePpftXr16Fg4MDTp48iR9++AHBwcEYOHAg5s+fj0uXLsHPzw8AcPv2bWnYfU763p9Kc//U1G1ubo6JEyfCyEjen8DFPebqckwzlN9V+ji2U8FK87u8rNpKVLlxzknSqx9//FG6HxwcnGeZ4OBgnDp1CgCk+U1yOn/+PDIyMgBkH+iUSmWBz9mxY0fs2rVLl7Aljx8/xrp167B7925ERETg0aNHSElJyXO+xHv37hVaX+vWrQttYHXq1AnfffcdAODUqVMYNmxYqcelqwsXLiApKQkApCvGlZawsDDpfmFzEBXH3bt3pWSag4MD3nvvvSJtd//+fYSEhADInmPTxsam0G2EEOjYsSMOHjwIALhy5Qp8fX1LFvgz7dq105o7qiAKhaLA9WvWrNH5SqT6+NsvqVatWhX6Gktq69atBa4vyrxIhcV3+fJlPHr0CED2vrht27ZC6zQ2NgYAREZGIi0tTTrO6LOuktLHe1YQfR8PW7RoUeB6V1dX6b4mWVhQ2Vu3bmklADTk/GwM7TukIL179y5wfdWqVRESEoKAgIB8yxS0DgDc3d2l+3l9VvpU2lcwN3QPHz7E66+/joMHD8LBwQFLlizBa6+9Bg8PD6SmpiIsLAyLFy/Gzp07sXTpUhw/fhw7d+6Ek5OT3KHrlaHsB2q1WuvxokWL8kwau7q6Yv369dIJ2JCQECxYsCDfhIOh8/f3x8WLF5GWloYOHTrgwIEDqFu3bqk9n76Puboc0+T8XZWTPo7thTGUv7PSIud3eVm1lahyY3KS9Ob+/ftS7w53d3d06NAhz3JvvPEGJkyYgIyMDKxbtw4LFy6EmZmZtD4qKkq6X7NmzUKftyhliuKPP/7A8OHDpR+PhdEk5wpSq1atYpXJ+dpLMy5d5fzC05xZLy0xMTHS/Ro1auit3pxJzxYtWuDzzz8v0nY//fSTlJws6sVwvv/+exw8eBAKhUKnCwMZKn397ZdUzka5vvXq1UvnOgqL79atW9L9nTt3YufOncWqPz4+Hm5ubnqvq6T08Z7lpzSOh4UlQXL+kCtq2fT09Fzr5PpsDPE7pDgsLCzg5OQEf39/dO3aFYMHD4a9vX2B2xQ2wX7OzzQtLU0fYZYL1tbW0o/BtLS0XD3cX5SzF2NRTsS9KDU1FW3atMG///4LBwcH/PPPP1ptHjs7O3To0AEdOnTAmDFjsHz5cpw6dQpjx46VRmeQfuX8HK2srPDWW2/lW7Zhw4Zo0aIFTp48ifT0dBw7dgxdu3aV1ut7fyrN/fPAgQPo2LEjLly4gJiYGLRv3x4HDhwolTZsaRxzdTmmyfW7qjAlObZXZnJ/l5dVW4kqNyYnSW9CQkKk4bdvvfVWvkMmHB0d8eqrr2LLli149OgRtm3bhtdff11an3NYh6WlZaHPq4+r7J04cQL9+vWTrjrdoEEDdOrUCTVr1oSDgwOUSqXU82n69Om4dOlSrrPPJY0tZ5kXh6WUVly6yvmFV1jjUVcPHz6U7js4OOit3pzJyaZNmxZ5u5xDwYuy3b179zBlyhR06dIFV65cwe3bt4sXaD4+//xzrffmRRs3bsSmTZsAFN6TTdcrjuvrb7+kcg7tMkSFxZeQkKBT/ZoeEfquy9CU1vGwOMP7dBkKKMdnY6jfIQXRxwkcuYdsGip7e3sp+fPw4cNCv79z/gguSdLg22+/xb///gsA+OCDDwo8YTt//nysW7cOCQkJ2LRpE7788kutnjikHznbUf7+/oWeIGzWrJk0PPTGjRta6/S9P5Xm/lmlShUpQXn+/HnExsZKCcp69eoVuG1xGML31Ivk+F2Vl4p4cr6sGMJ3eVm1lahyY3KS9EIIoTWsc968eZg3b16Rtv3xxx+1EhQ5GyOpqamFbp+SklKMSPM2Y8YM6YC/fPnyAof4zpkzp8j1FiW2nGVePPNbWnHpKuewnpyNntKQc3/Q51xUOZOMxUnO5UxqFmW7d955ByqVCitXrkRgYGDxgixA69atC1wfHh4u3S/Nnmz6/NuvrHLu4xMnTsTixYsNoi5DY6jHw6KS47Mp7+9ZRXD06NECTyQVR5MmTeDp6Vni7evUqYPIyEgA2VMFeHt7F1heU1azbXHt2LFDul/YPHZWVlZo2bIldu7cCbVajdOnT+PVV18t9nMaKkPZD3x9fbF//34ARZtiI2eZF3ti6Xt/Ku3908nJCfv370enTp0QHh6OuLg4KUFZv379QrcvCkM85srxu0ouhvJ3pm+GuF8RlQYmJ0kvQkNDcfPmzRJtu2/fPty9exceHh4Asi8So3H9+vVCty9KmYJkZmZKc5Q0bdq00LkHcw7NK0xx4885ZK8049JVzmGqpT2Zcc794b///tNbvSVJTgohcP78eelxfpP7a/z888/YuXMnlixZIk3+XNHo82+/ssr593T37l2DqcuQGPLxsKjK+rOpCO9ZRTB9+vQizw9cGF3nB/b398fu3bsBAKdPny7wAhuxsbHSfurs7FyiuaVzDictSiIsZ++30j7xWdYMZT9o2LChdD8xMbHQ8jnLvPgZ6nt/Kov9M2eC8ty5c3jw4AE6dOiA/fv3SxcSKSlDPeaW9e8qORnK35k+Gep+RVQamJwkvVi9erV0v2/fvkU6A3n8+HHs27cParUaISEh+OSTTwBkd1VXKpXS/Dbp6ekFTt6sOQNcUg8fPpTORhU2z8rp06eLdUbuyJEjhcb/999/S/dffvnlUosrZxd7XYdWNGjQAHZ2dkhMTMTx48fx4MGDUrsoTrt27bBo0SIA2e+VPi7YERUVJc1l6eTkVOTE4bVr16Sh9zVq1ChwGFFsbCzGjx+P5s2bY9y4cTrFa8j0+bdfWTVq1Ej6ezp48GChx4yyqsuQlOZxuqyU9WdjyN8hJI8uXbpg4cKFAIBdu3ZhypQp+ZbNOSdqt27dSvR8OUeD3L17t9B5uHNOe1LRLohjKLp27SrNf33x4kVkZGQUOLT7zJkz0v0Xeyfqe38qq/3T0dERf//9N1555RWcPXtWK0HZoEGDYtWVk6F+T5X17yrSL33uV/weJ0PH5CTpLCEhAVu2bAEAmJiYYMWKFUVKVF24cEE6g7tmzRpMnz4dCoUCSqUS3bp1w9atW5GYmIgff/wRo0aNyrOOiIgI7N27V6f4c86tUtjZwpkzZxar7oSEBKxatQqjR4/Oc310dDTWrVsHIHty4B49epRaXDmHdeg6ZMPY2BiDBg3Ct99+i/T0dMyaNQvLly/Xqc78dOzYEdWqVcP9+/fx4MEDLFy4sMjJLCEEfvrpJ7Ru3VrrYjrFHZpdku1Gjx6NpKQk/PDDDxV27hV9/+1XVjn/nh4+fIgvv/wS06ZNk70uQ1Kax+myUtafjSF/h1QmhnT12MDAQLi6uiImJgahoaE4e/Zsnt9lKpUKX3/9tfT4jTfeKNHz+fv7S6MU1q1bl+/F0oDsffSff/4BkP0DulmzZiV6TkNlKPuBu7s7AgMDERoaipSUFPzyyy8YNmxYnmXPnz8vzTdpY2ODVq1aaa3X9/5UlvtnzgRlWFgYHj58KCUoc/YuLQ5D/Z4q699VcjKUvzN90ud+xe9xMnQV8xczlan169dLV4br2rVrkXvQNWjQAI0aNQKQPW/MwYMHpXWTJk2SkhVTp07FiRMncm0fGxuLAQMGSBfiKClbW1vUrl0bQHby6bfffstVRqVSYcKECdi1a1ex6586dSoOHz6ca3lSUhJef/11qSfe22+/rfXe6TsuR0dHaUhOeHi4zmfMpk6dKs09+e233+Kzzz7L97NIT08v0XsHAObm5vjiiy+kx7NmzcKCBQsK/NyzsrKwefNmtGzZEv/73/9yDRsu6XyTRd1uy5Yt2LJlCz744IMSN3LLg9L426+sPvroI6kn7vTp07F06dICJzNPSUnBqlWrsGHDhlKty1CU9nG6rJTlZ2Po3yFU9oyNjTFjxgzp8ZAhQxAXF5er3IcffijNW9yqVSsEBQXlWV+7du2gUCigUCgQEhKSa/3AgQOl+2vWrNHqaZ9TTEwMXn/9dal3UI8ePeDo6FjUl0XFlLNN9cEHH+DcuXO5ysTGxmLQoEHS43HjxuW6uJu+9yd911cYBwcH/P3332jevDmA7AvsdOzYUWvO7uIw5O+psvxdRfqlz/2K3+Nk6NhzknSWs7E5ZMiQYm07ZMgQqRGwevVq6ax6q1atMHbsWHz99ddITk5G27Zt8dZbbyEwMBBKpRLh4eFYtWoV4uPj0adPH/z+++86vYbx48dLc3i8/vrrGDBgAAIDA+Hg4IDr169j3bp1uHLlCurXrw+lUqnVg64gPXr0wL59+9ChQwe88cYb6NixIywsLHD58mWsXr1amo+pevXqmD9/fqnH1bFjR/z++++4ceMGXn/9dfTp0wf29vZSg+X//u//ivyDwNPTE2vXrkX//v2RlZWFmTNnYt26dejfvz98fX1hZmaG2NhYnDlzBjt27ICHhwe6du1apLpfNGTIEFy8eBGLFi2CWq3G1KlT8e2336J3796oX78+7OzskJycjNjYWJw6dQqHDx+WruLYrFmzXEOWSvNK3fHx8Rg9ejRq1qxpsD249KU0/vYrq2rVquHXX3/Fq6++ivT0dEyYMEHax/38/GBtbY3k5GRERkbizJkzOHDgANLS0jB79uxSrcuQlNZxuiyV9WdjyN8hJI+RI0di69at2LdvHy5duoSGDRti5MiR8PPzQ3x8PDZs2ICjR48CyJ4D8rvvvivxc3Xu3Bn9+vXDb7/9BiEERowYgZ9//hk9e/aEu7s7nj59ijNnzuDnn3+Wrmbv5ORUoS7kZYgCAgIwdepUzJ8/H48fP0aLFi0QHByM1q1bw9TUVKuNDWS3o6ZPn55nXfren8py/9TUsW/fPnTu3BmnTp2SEpR///13ofOK58VQv6fK+ncVZZ98f/GEzIULF6T7586dy/V31aFDhzzbw/rcr/g9TgZNEOng3LlzAoAAIBwcHERaWlqxto+NjRUmJiYCgDA3NxePHz+W1qlUKjF8+HCp/rxu77//vjh48KD0eObMmXk+T2RkpFQmODg413q1Wi2GDRtW4HP5+/uLmzdvisDAQGlZXl6MZ9OmTcLS0jLfeuvUqSMiIyPzrEufcQkhxPnz5wuM5eDBg0V+zzT27t0rXF1dC4wRgGjcuHG+dRTV6tWrhYODQ6HPpbm5uLiIlStX5qqnWrVqUpnr168X+fnt7e2l7R4+fJhnmSFDhggAYv/+/bnWeXl5CQDiypUrRX/RJTRz5sxC9wddlObfflH2vaL83ZdUzn2opEoa3+nTp0WdOnWKtH8bGxuLH374oUzqKow+3jM5j9MFyfm3lPMYmZeiHIeFKLvPRs7vkOKQ429OUzYwMDDXuqJ+/5VXSUlJokePHgXuF+7u7uLYsWMF1pNzn1mzZk2eZdLS0grdBzW3OnXqiHPnzun99ebcN/L6vPNT0feDjz76SBgbGxf4mQQFBYn4+PgC69HX/qTv+opzXElISBAvv/yyVN7BwUGEhYUVKd6c5PqeEqLgY5oQ+v1dVVT6OLaXVznfx6Le8nu/9blfFed7XO62ElU+HNZNOsl5RmjAgAHFntzf2dkZXbp0AQCkpaVh/fr10jojIyOsWrUKu3btwmuvvQZnZ2eYmZnB3d0dvXv3xu7du7F06VK9vA6FQoHVq1djy5YtCAoKgpOTE0xNTeHq6orAwEAsW7YMp06dQvXq1Ytd9+uvv46zZ89i9OjRqFWrFiwtLWFnZ4f/+7//w+LFi3H+/Hl4e3uXSVwNGjTAuXPn8M4776Bu3bqwsrLSea6/V155BTdv3sTy5cvRpUsXuLm5wczMDEqlEp6enujevTuWLl2KPXv26PQ8ADBs2DDcvXsX3333Hfr16wcfHx/Y2trC2NgYtra2qFmzJnr06IFZs2bh8OHDuH//Pt555x2tOuLi4nD//n0A2Vee9PHxKdJz37hxQ+rZ4enpme9k/X/88QfMzc3x2WefoV27dlo3zUV4hgwZgnbt2uU5NKO8KM2//cqsWbNmuHz5MjZv3oy33noLtWrVkvZxOzs71K9fH2+++Sa+++473Lt3DyNGjCiTugxBaR6ny1pZfTbl4TuEyp6NjQ3+/PNPbNu2DX369IGHhweUSiWqVKmCl19+GfPnz0dERARatmyp83MplUqsXr0a586dw/vvv49mzZrB0dERJiYmsLS0hLe3N/r27Yuff/4ZFy5ckKb8oNI3Z84chIWFYezYsfD19YWNjQ3Mzc3h6emJN954Azt37sTu3bvh4OBQYD363p/Kcv/UsLOzw969exEQEAAAePz4MTp16lTsno2G/D1Vlr+rSL/0uV/xe5wMmUIITjZARKQv9vb2SExMLFLZJUuWYPz48aUbEBEREREREZEBY3KSiKiMeHt74/bt27hy5Qp8fX3lDoeIiIiIiIhIdhzWTURERERERERERLJgcpKIiIiIiIiIiIhkweQkERERERERERERyYJzThIREREREREREZEs2HOSiIiIiIiIiIiIZMHkJBEREREREREREcmCyUkiIiIiIiIiIiKSBZOTREREREREREREJAsmJ4mIiIiIiIiIiEgWTE4SERERERERERGRLJicJCIiIiIiIiIiIlkwOUlERERERERERESyYHKSiIiIiIiIiIiIZMHkJBEREREREREREcmCyUkiIiIiIiIiIiKSBZOTREREREREREREJAsmJ4mIiIiIiIiIiEgWTE4SERERERERERGRLJicJCIiIiIiIiIiIlkwOUlERERERERERESyYHKSiIiIiIiIiIiIZMHkJBEREREREREREcmCyUkiIiIiIiIiIiKSBZOTREREREREREREJAsmJ4mIiIiIiIiIiEgWTE4SERERERERERGRLJicJCIiIiIiIiIiIlkwOUlERERERERERESyYHKSiIiIiIiIiIiIZMHkJBEREREREREREcmCyUkiIiIiIiIiIiKSBZOTREREREREREREJAsmJ4mIiIiIiIiIiEgWTE4SERERERERERGRLJicJCIiIiIiIiIiIlkwOUlERERERERERESyYHKSiIiIiIiIiIiIZMHkJBEREREREREREcmCyUkiIiIiIiIiIiKSBZOTREREREREREREJAsmJ4mIiIiIiIiIiEgWTE4SERERERERERGRLJicJCIiIiIiIiIiIlkwOUlERERERERERESyYHKSqBKoXr06FApFkW9mZmZIT0+XO2wqoRc/TyMjI9jb26NNmzZYtWoVhBCyxOTt7V1m2xEREREREVH5wOQkUQWXnp6Odu3aITg4WOvm4uICAOjQoUOudZMmTYJSqZQ5ctKV5vMcNGgQ/Pz8cOzYMYwcORIDBw6UOzTcunULCoUC7dq1kzsUIiIiktnAgQOhUCgwe/bsQsueOnUKCoUCLi4uyMrKKvZzzZo1CwqFAiEhISWItORCQkKgUCgwa9asMn1eQ+ft7Z3rxLqtrS2aN2+ORYsWISMjo8xiKem+Idc+RVSRmMgdABGVLqVSiTVr1uRa7uXlBQD48ssv0bBhw7IOi8rAiw2kffv2oVu3bti4cSMGDRqEHj16lFksV65cgampaZltR0REROXH4MGDsWHDBqxbtw6ffPJJgWV/+eUXAMCbb74JE5Py/3N26NChWLt2LQ4ePFipT9r27dsX1tbWEELg1q1bOHHiBM6cOYM///wT+/btg5mZmWyxtWvXDocOHUJkZCRH9BCVkvJ/NCeiYktISMCdO3dgamqKunXryh0OlZFXXnkFgwcPxpo1a7Bt27YyTU76+vqW6XZERERUfnTu3BkuLi64evUqTp8+jebNm+dZLisrC5s2bQKQndAsT3r37o0WLVqgSpUqcodikBYtWqSV+AsPD0e7du1w+PBhfP/99xgzZkypxzBmzBi88cYbeOmll8pkOyJ6jsO6iSqhCxcuAMhO/Mh5FrK8O3v2LBQKBV5++eV8y3zzzTdQKBSYOHGitCwiIgJvvfUWfHx8YG5ujqpVq6JRo0YYP348oqOjSzXmxo0bAwDu3r2ba92JEyfQs2dPVK1aFUqlEt7e3njvvfcQFRWVZ13FeR05546cNWsWqlevDgA4dOiQ1jCeoUOH5rtdSWPNOYT86dOn+PDDD+Hl5QWlUomaNWti/vz5sszDSURERNmMjY3x5ptvAnjeMzIve/fuRVxcHOrWrYumTZuWVXh6YWdnB19fXyYni6hRo0ZS+3nbtm1l8pxVqlSBr68v7OzsymQ7InqOyUmiSkiTnORwbt00adIEvr6+OHXqFG7cuJFnmXXr1gEA3nrrLQBAWFgYmjdvjnXr1sHGxgY9e/ZEixYtkJmZia+++gpXr14t1ZiTk5MBINecor/88gvatGmD7du3o06dOujTpw+USiVWrFiBJk2a4N9//9Uqr8vraNSoEfr27QsAcHFx0ZrvtHXr1oW+huLGqpGRkYHOnTvjhx9+QLNmzdC+fXvcv38fH374YaFDyIiIiKh0adpKmzZtgkqlyrPMi+0qjd27d6N79+7SSUsfHx9MnDgRjx49KlYMjx49wuTJk1GrVi2Ym5vD0dERXbp0wd69ewvc5uOPP4a/vz+srKxga2sLf39/TJkyRetkbV5zTioUCqxduxYA0L59e60Ttrdu3cKYMWOgUCjw/fff5/v8derUgZGREW7evFngaxs3bhwUCgVWrFiRb5mmTZtCoVBIvxUAwzypvnPnTrzyyitwcHCAubk56tSpgw8//BAJCQm56hBCYN26dWjdujVcXFxgbm4ODw8PdOrUCcuXL9cq++LckZoT3IcOHQKQ+yKj+W2XU3H3Kc2JeZVKhfnz56N27dpQKpXw8PDA1KlTedFSqrgEEVU6I0aMEADEggUL5A6l3Js9e7YAID777LNc665fvy4ACF9fX2nZkCFDBACxaNGiXOWvXLkioqKidI4JgMjr8K5Wq0VAQIAAID7++GNp+Z07d4SFhYUwNjYWf/zxh7RcpVKJ8ePHCwCiWbNmWnUV93UAEF5eXtLjyMhIAUAEBgYW+lpybleSWDXPpXm+xMREad3p06eFsbGxsLS0FMnJyQXGQkRERKWrbt26AoDYtWtXrnVPnjwRVlZWQqFQiFu3bknLp06dKgAIMzMz0apVK9GvXz9Rq1YtAUDUqFFDxMTEaNUzc+ZMAUCsWbNGa/m9e/eEj4+PACA8PT3FgAEDRIcOHYSxsbEAIL788stcMV2+fFm4u7sLAMLV1VX07t1b9O7dW9SrV08AEFu3bpXKrlmzRgAQM2fOlJYFBweLGjVqCAAiKChIBAcHS7cHDx6ICxcu5Nm20QgNDRUARKdOnQp9b0+ePCkAiNatW+e5/sqVKwKA8Pf3l5adOXNGmJubCwCiQYMG4vXXXxc9evQQfn5+AoA4ePBgoc9bGC8vLwFAREZG5lq3bt26XDF98cUXAoAwMTERHTt2FAMGDJA+g9q1a+f6vD/44AMBQCiVSvHKK6+IN998U7Rv315UrVpVq40pRO5948GDByI4OFi4uLgIAKJv375an1F+22mUZJ/StH1ff/11YW1tLXr06CF69Ogh7OzsBAAxaNCgYr2/ROUFk5NEldD//d//CQBiz549eq/78ePHAoA4cOCAEEKIBQsWCB8fn2LVsXLlSuHi4qKXeMLDw8WcOXO0lpUkpvzcvHkzVwJS49NPPxUAxOzZs6VlXbt2FQBEeHi4Xp4/Ly8mJ7OyssS1a9fE0KFDpcbZ9evXpfUzZswQAMSbb76Zq660tDTh5uYmAIijR4+W+HXoKzlZklg1z2VkZCT+/fffXNv16NFDbw1sIiIiKjlN4imvBMxPP/2Uq+3w66+/CgCifv364r///pOWq9Vqqc0wYMAArXrySyRp2gMDBw4U6enp0vIjR44IS0tLYWxsLM6dOyctz8zMFHXq1BEAxPjx47W2EUKIiIgIrfZWXslJIbITlAW1Q1q2bCkAaD23xqBBgwQAsWnTpjy3fVHNmjWFQqEQt2/fzrVu+vTpAoCYN2+etKwsTqoXlJx84403tPaHU6dOCSMjI2FtbS1OnjwplUtLSxP9+/eXEogaT58+FUqlUtjY2IibN29q1Z2ZmSkOHz6stSy/fSMwMDDfGAvarrj7lBDP2/F169YV0dHR0vKbN28Ke3t7AUBrvyKqKDism6iSUavViIiIAAA0aNBA7/WHh4dr1d23b1/s3LmzWHVcuHABjRo10ks8v//+OzZu3Ki1rCQx5ad69epo2bIl/v33X5w9e1ZrnWbo0aBBg6RlmvmRRo8ejdDQUGRlZekljrxohpyYmJigdu3aCAkJgY2NDTZs2IAaNWpI5Y4cOZIrTg2lUon+/ftrlSvr15FTSWLV8PLyQp06dXItr127NgCU+tAkIiIiKtigQYOgUCiwbds2pKSkaK3TzEWZc0j3nDlzAAAbNmxAzZo1peWa4dONGjXCb7/9hocPHxb4vDdv3sSOHTtgbW2Nb775RmtO9tatW+Pdd9+FSqXSGgb8+++/4+rVq6hXrx4WLVqUax73evXqabW3Surdd98FAPzwww9ayx8/fowtW7agatWq6NWrV5HqGjRoEIQQWL9+fa5169evh0KhwMCBA6VlDx48AAB06tQpV3lfX99SuQCMEAK3b9/Ghx9+iI0bN0KhUOCdd94BACxbtgxqtRpjx47VmvNdqVRi2bJlsLCwwNatW6Vh4ElJSUhPT0eNGjWk+c41TExM0KZNG73Hr1GSfSqnr7/+Gq6urtLj6tWrS/t+Xu1covKOyUmiSub69etITU2Fs7Oz1heevoSHh8PNzQ1OTk4AAB8fnzwTQgXRZ3Ly4sWLqF+/vtayksRUEE2iTJOMBIAzZ87g2rVraNmypVZjaPLkyWjXrh2OHTuG9u3bw8HBAZ07d8ZXX32FxMREvcUEQJrH8e2338b777+PVatW4fbt2+jdu7dWOc1FZPK68EzO5ffv35fldegaq4a7u3ue29jY2AAA5/AhIiKSmaenJ9q2bYuUlBSti6DExsZi//79MDc3l05ExsXF4fz586hVq1auth6QnaBs1aoVVCoVwsLCCnzeo0ePAgC6dOkCR0fHXOs1VwbPmRT6+++/AQAjRoyAsbFx8V5oMfTv3x9OTk5Yt24dUlNTpeW//PIL0tLSEBwcXOQLXGrarC8mJ0+cOIGbN2+ibdu28PDwkJaX5clozXyORkZG8Pb2xvz582FmZobly5dLScSCTlI7Ozujc+fOUKvVOHbsmLTM3d0d4eHh+PDDDwudl1OfSrJPaZiamqJ9+/a5lvOEOlVkTE4SVTLnz58HUHivye+//x4tWrSAvb097Ozs0K1bN9y6dUurzIMHDzB48GDY2trCw8MDmzdvRnh4uFR3RkYGTE1N8eeffxar7osXL8LLywsjR46Evb09vLy8sHr16mLHaG9vj61bt2LDhg1SL8I7d+7kGVNGRgZmz54tTTrt7e2NTz/9tLC3EwAwYMAAmJqaYuPGjVCr1QDy7jUJALa2tjhw4ACOHDmCKVOmwM/PDwcOHMD48eNRp04d/Pfff0V6zqIICQlBSEgIfvzxRyxduhTDhw+Hg4NDsevJOeG3Rlm+juLIK1YNIyN+5RERERk6TdIm51W7N2zYAJVKhVdffVW6IrKmzffff/9pXaQk503TK62wnpMlOfmp6Z2nj96RBTE3N0dwcDASExOxefNmafmqVasAZCdHi6pWrVpo3rw5Ll68iIsXL0rL82u3luXJ6L59+yI4OBhDhw7FmDFjsGzZMkRGRmLUqFFSmZJ8TmvXrkXVqlUxf/581KhRA97e3ggODsauXbv0Gv+LdDmh7urqmmfCmyfUqSLjLzWiSqaoV+r+999/MWrUKGzbtg1r165FfHw8hg8fLq1PTU1Fx44d8d9//+Hnn3/G4sWLMWXKFOzfv19KTl65cgVZWVm5zmYXVPft27eRmJiIhQsXokaNGtiyZQvatGmDkSNHajWiCqtHrVbjzz//hEKhwOLFi3HixAmcPHkSjx8/zhVTVlYWunXrhuXLl2Ps2LHYuXMnJk2ahCdPnhTpPXVyckJQUBCioqIQGhoKlUqFjRs3wtTUFAMGDMhVXqFQoHXr1pg/fz7++ecfREVF4c0330RsbCw+/vjjIj2nPrm5uQHIfu/zomn8V6tWTWu5HK+jpLESERFR+dCvXz+Ym5vj77//RlxcHIDniUpN4hKAdELY1dVVGi2S383Ly0unmAo6+VkW3nnnHSgUCmlo96lTp3DhwgW0bdu22KOBNEODNb0ns7Ky8Ouvv0KpVKJfv35aZcvyZPSiRYsQEhKCNWvW4JtvvsHo0aOldl9R5fU5dejQAdevX8e6deswePBgqNVq/PTTT+jWrVuu11uWeEKdSJuJ3AEQUdkqas/JL7/8EkD2vC8qlQpqtVqrQfj5558jMTERJ06cgJWVFYDsuW/effddqe6IiAhYW1vnOmNYUN2a5Om0adMwcuRIAECbNm2wa9cu/PXXX/D39y9SPUZGRrC3t4cQAr169YKPjw+A7DPDL8b0xRdfIDw8HOfOnZOGsnTs2LHQ9zKnQYMGYceOHVi/fj1UKhViYmLQo0cPaXh7QZydnTFr1ixs2LBBmg+0LLVp0wYHDx7Ehg0b0K1bN611GRkZ0ln6wublKc7r0Aw/Ku7wIH3FSkRERIbJzs4Or732Gn799Vds2LABQUFBCAsLQ5UqVdClSxepnGa6lipVqiAkJESn5yzJyU9Nm/HGjRs6PXdR1K5dG+3bt8eBAwdw5coVKUn5v//9r9h1DRgwABMnTsSGDRvwxRdfYO/evXjw4AF69+6d5wgbzcno1q1bA8geTj9+/Hhs2LABH3/8MX799VfdXlwxuLm5ITIyErdv34afn1+u9fmdpLa1tcXAgQOl+TRPnjyJ/v37Y8uWLdi5c2euNqW+YgV4Qp2oqJiSJ6pkitJzMiUlBbNnz0bdunVhaWkJU1NT9O3bF5aWlgCyE0orVqzAuHHjpMQkkD1UBHie+Lx48SLq1aundWawsLovXLgANzc3DB06VNrGzMwMPj4+WkNyCqtH8/zW1tZacz6+GFNWVhaWLFmCDz/8UGuOneLq2bMnbGxssGXLFvz4448A8p4PZ+XKlYiMjMy1XHOBnhdjGDJkCHx9fbF169YSx1aY4cOHw8LCAhs3bsRff/0lLVer1fjoo49w//59NG3aFK1atZLWFfd1vKhKlSowNTXFjRs3oFKpSjVWIiIiKl80vfvWrVsnDTnWTKOj4e7uDl9fX1y+fBnXrl3T6fk0ibfdu3cjISEh13pNz82cJz81F4lZvXq11IuzJIp6wlZzYZwvv/wSGzduhIODA/r27Vvs53NxcUGnTp1w+/ZtHDt2LN8h3fnRnIwGUOYn1TXv/4YNG3Kte/DgAfbs2SPNNVqQFi1aSB0aivIaSnJSvST7FFFlxuQkUSWSmJiI27dvw9TUFHXr1s2zjFqtRlBQENauXYsxY8bgr7/+wunTpxEUFCQNGwkPD0dCQgJ69uyptW10dDTMzMzg6+sLIPvLPmdPx6LUfeHCBQQGBmo1PoHsBofmioBFqQfITkT6+flpJUdfjOncuXN5vpbisrCwQO/evZGQkICNGzfCxsYmzzpXrlwJHx8f1KtXD/369cMbb7yBRo0aYcKECTA3N8eMGTO0yt+5cwdXr14t1YvMeHp64rvvvoNarcarr76KNm3aYODAgfDz88PixYvh4uKiNe9TSV7Hi8zMzNClSxfExMSgYcOGGDJkCEaMGIE1a9boPVYiIiIqX7p06YIqVarg9OnTWLlyJQDtId0an3zyCdRqNfr27Yvw8PBc6x89epTrKtd58fHxQffu3ZGcnIz3338fmZmZ0roTJ05gxYoVMDY2xujRo6Xlffr0Qe3atREREYEpU6ZobQMAly5dKtIFWDQ97K5evVpguV69esHV1RWrVq3CkydPMHjwYJibmxdaf140yd/vv/8ef/zxB+zs7NCjR49c5Yp7Mrpjx47w9fXFqVOnShRXYUaPHg0jIyN8/fXXOHPmjLQ8IyMDY8eOxdOnT9GnTx8prjt37iAkJETrQkIAkJaWhoMHD+b5GvJS1M8op5LsU0SVmiCiSuPw4cMCgKhfv36+Zf7++28BQFy9elVaplKpxEsvvSRGjRolhBBi+/btAoBITEzU2rZfv36iQYMG0mNPT0+xdOnSYtXt6+srpk6dqlXvuXPnBAARFhZW5HqEEKJHjx5i+PDhWnW9GFN+r6Uk9uzZIwAIAGLIkCF5ltm+fbsYNmyYqFevnrC3txeWlpaidu3aYsSIEeLff//NVT4wMFAAEGvWrClyHJoYiuvYsWPi1VdfFU5OTsLU1FR4enqKUaNGiXv37un8OgAILy8vrWWxsbFi8ODBwtXVVRgbGwsAIjg4uNDtihtrZGSkACACAwPzfN0zZ84s9ntMREREpWvMmDFSm6ZWrVr5lvvoo48EAGFkZCSaNGki+vfvL/r16ycaN24sjI2NhZ2dnVb5/L737927J6pXry61Pd544w3RsWNHqY2yePHiXM998eJF4erqKgCIl156SfTp00f07t1b1K9fXwAQW7dulcquWbNGABAzZ87UquPMmTNCoVAIc3Nz0bNnTzF8+HAxfPhw8fDhw3xfKwARERFR6HuYn+TkZGFpaSnV9WJ7WaNhw4YCgPDz8xN9+/YVAwYMkJaZm5uLo0ePapX38vISAMTBgweLHItmm8jIyCKVnzNnjgAgTExMRKdOncQbb7whPDw8pP0kJiZGKqv5DWFpaSnatm0rBg4cKHr27CmqVq0qAIhmzZqJtLQ0qXx++8aWLVsEAGFrayv69esnfUaFbVeSfSq/tq8Q+e9DRBUBk5NEpCUkJEQYGxuLzMxMadnXX38tAIhvv/1WCCHE0aNHBQBx6tQpqcylS5eEsbGxeOutt4QQQiQmJgoAYv/+/UWu++nTp8LY2Fj069dPK6Z+/fqJli1bFitGIYSoVauWWLBggfQ4r5hOnTolAIh//vmn+G8WEREREZWKf/75R0qeffrppwWWPXTokOjfv79wc3MTpqamwsnJSTRo0ECMGTNGHDp0SKtsQSclHz58KCZNmiRq1KghzMzMhL29vejcubPYs2dPvs8dGxsrPvjgA1G7dm1hbm4u7OzshL+/v5g6daqIjo6WyhWUWFq3bp1o0qSJsLCwkF5zXsk6zQn6gICAAt+PonjzzTel5zpw4ECeZYp7MroskpNCCLFjxw7RsWNHYWdnJ8zMzETNmjXFlClTRHx8vFa5pKQksXjxYtGtWzfh7e0tzM3NhZOTk2jWrJlYsmSJSElJ0Spf0L6xZMkS4efnJ5RKZa6OAPrcp5icpMpKIYQQOnW9JKIK5cKFC2jUqBHee+899OrVC/v378fmzZtx48YNHD16FK1atcLTp0/h7e0Nd3d3fP7554iPj8eMGTNw584dfPHFF5g8eTKOHz+OVq1aITY2Fs7OzkWq29zcHM2aNYOPjw9GjRqFxo0bY926dfj111/xzz//oF69ekWOEQCaNWuGKlWqYPr06bC0tERaWlqumDIyMuDv7w9TU1PMmDEDjo6OCAsLg4WFBcaNGyfPh0BERERE9IJ33nkH33//PdasWaM1PzsRUXnHOSeJSEuDBg3w5ZdfYtOmTRgwYAAePXqEuXPnAgDq168PIHt+xV9//RVpaWno3bs3Fi5ciNmzZ0OlUmldqbtq1apSErAodV+4cAFVqlTBli1b8PPPP6N79+64fv06Dh06JCUmixojAMybNw83b95EYGAg3nvvvTxjMjMzw44dO+Dt7Y1Ro0ahd+/e+OOPP9CkSZNSeoeJiIiIiIrn9u3b+Pnnn1GlShUMGDBA7nCIiPSKPSeJiIiIiIiIDNDChQtx4cIF7Nu3D7GxsVi6dCnef/99ucMiItIrJieJiIiIiIiIDFC7du1w6NAhuLm5YeTIkZg5cyYUCoXcYRER6RWTk0RERERERERERCQLzjlJREREREREREREsmBykoiIiIiIiIiIiGRhIncA5ZFarUZUVBRsbGw43wcRERGVOSEEkpOT4ebmBiMjnmum3NheJSIiIrkVtc3K5GQJREVFwcPDQ+4wiIiIqJK7e/cu3N3d5Q6DDBDbq0RERGQoCmuzMjlZAjY2NgCy31xbW1uZoyEiIqLKJikpCR4eHlKbhOhFbK8SERGR3IraZmVysgQ0Q2NsbW3Z2CMiIiLZcLgu5YftVSIiIjIUhbVZOUkRERERERERERERyYLJSSIiIiIiIiIiIpIFk5NEREREREREREQkCyYniYiIiIiIiIiISBZMThIREREREREREZEsmJwkIiIiIiIiIiIiWTA5SURERERURubNmweFQoHx48cXWG7z5s3w9fWFubk5/P39sXPnzrIJkIiIiKiMMTlJRERERFQGTp8+je+++w4NGjQosNzx48fx5ptvYvjw4Th37hx69eqFXr16ISIioowiJSIiIio7BpOcnDt3Lpo3bw4bGxs4OzujV69euHr1qrQ+Pj4eY8eORZ06dWBhYQFPT0+MGzcOiYmJWvXcuXMH3bt3h6WlJZydnTF58mRkZWVplQkNDUWTJk2gVCpRs2ZNhISElMVLJCIiIqJK6smTJxg0aBB++OEHODg4FFj2q6++QpcuXTB58mTUrVsXs2fPRpMmTbBs2bIyipaIiIio7BhMcvLQoUMYPXo0Tp48iX379iEzMxOdO3dGSkoKACAqKgpRUVFYtGgRIiIiEBISgt27d2P48OFSHSqVCt27d0dGRgaOHz+OtWvXIiQkBDNmzJDKREZGonv37mjfvj3Cw8Mxfvx4jBgxAnv27Cnz10xERERElcPo0aPRvXt3dOrUqdCyJ06cyFUuKCgIJ06cyHeb9PR0JCUlad2IiIiIygMTuQPQ2L17t9bjkJAQODs7IywsDG3btkX9+vWxZcsWaX2NGjUwZ84cvPXWW8jKyoKJiQn27t2Ly5cv4++//4aLiwsaNWqE2bNnY+rUqZg1axbMzMywcuVKVK9eHYsXLwYA1K1bF0ePHsWSJUsQFBRUpq+ZiIiIiCq+jRs34uzZszh9+nSRysfExMDFxUVrmYuLC2JiYvLdZu7cufj00091ipOIiIhIDgaTnHyRZri2o6NjgWVsbW1hYpL9Mk6cOAF/f3+txlxQUBBGjRqFS5cuoXHjxvmeiS5sUnIiIiJDplYLZKkF1EJApRZQCQG1Oud9SMs0ZbL/R477eW+nFtrLpe1ylX32v4BWWSEAgezlQmTXp4lZAM/LCO3H6mfbadbl2l4ql72dyPk4v+2fbQdRyPZ4tn3O+NXP6wOy68p5Rzy7o1k/8ZXaaFmzSql/9mTY7t69i/fffx/79u2Dubl5qT3PtGnTMHHiROlxUlISPDw8Su35iIiI8qJpD6pebCPm0SZ9sQ2pUj9fn7N9qrU+j/arOsfzqTVtUfFiG/J5WzB3my/v9mZxygJ5ty017UdN2dzt3fzLQtOOfbY+ewm02qKa5Xi2XKut+uJj6Z/ny2u52GBuH/9S2huKziCTk2q1GuPHj0erVq1Qv379PMs8fPgQs2fPxv/+9z9pWX5nmTXrCiqTlJSEp0+fwsLCItdzpaenIz09XXrMYTJERBWbEAKZKoEMlRoZWTluKhXStR4/v69Znp7HNhlZamSqBLLUamSpspOIWSo1Mp/9r1KLvNershtZmZrlKnX2OrVApip7mWZ9jnYJGYj41Ay5QyADEBYWhri4ODRp0kRaplKpcPjwYSxbtgzp6ekwNjbW2sbV1RWxsbFay2JjY+Hq6prv8yiVSiiVSv0GT0REsslSZbc10zOftznTs7TboukvtEnTs1TS8vQsTbvyWTv0WTsyM4+2Z+YL67JUz9ufmnVSO/SFOnMmHFVqNkjLmywD+cwMMjk5evRoRERE4OjRo3muT0pKQvfu3eHn54dZs2aVejwcJkNEZBiEEEjPUuNphgqpmSo8zXh2y1QhNSMLaZkqpD57rL1OlXtdjuVpmarnjbxnjbuKxthIAWOFAkZGePa/QlqmUChgnMdyo5z/51yf439jI8397OdQKLSXGykAI4UCCgWgQPZjRc5lCgUUeP7YSKEAtB4/K5PX9ni+TvPYyCiP7fH8ubIfZ5fLc/vsJ8pRn/b2UplnNHcVLzwGFGjoYVe6HyqVCx07dsTFixe1lr399tvw9fXF1KlTcyUmASAgIAD79+/XGtmzb98+BAQElHa4RERUgNxt0SykZjxrY2bkbGvmWP6snZr6Qts0PfN5ojE9jwSjgeSM9K6gNql2+xK5l+XR9tQs01qfo91XUJtTuy1YtPZpzrYoXmhDvritpmxe7U3tsrnbppp2LwDpsabBKZVDjrZojjavhqbMi+tzLrOzMCulT7p4DC45OWbMGOzYsQOHDx+Gu7t7rvXJycno0qULbGxssHXrVpiamkrrXF1dcerUKa3ymrPOmjPN+Z2JtrW1zbPXJMBhMkREuspUqZH4NBOJTzORnJaFJ2lZeJKeiSTpfvYtOS0LyWmZ2Y9zLM+ZWJSjh6CJkQJmJkbZN2MjrftKE6M81hlL9zXrTY0VMDEygomRAibGmscKGBsbwfTZsux12eVMjbMbV6YvLM/5v6n0OLusiZFRdkMuZ0PtWaOOiORhY2OTaySQlZUVnJycpOVDhgxBtWrVMHfuXADA+++/j8DAQCxevBjdu3fHxo0bcebMGXz//fdlHj8RUXknhMDTTJXUzkxKe97mlNqeaVlay1NyJBOfJx+z8DRTJUvS0NhIkattKbVFTY2hzGedqUmOduaztmN2+/J529P0hXUmxs/bn5p1udqmOdq1xka5k4NS8pFtUioig0lOCiEwduxYbN26FaGhoahevXquMklJSQgKCoJSqcT27dtzzdsTEBCAOXPmIC4uDs7OzgCyzzLb2trCz89PKrNz506t7Qo7E81hMkRE2VRqgcepGXj0JAOPUtIRn5KBxKeZSEjNRNKz/xOfZiLhaQYSn2YhMTV7fUqGSu+xmBkbwcLMGBamxrA0M4b5s/81yyzMXlhuagwLM5M8y5ubGD9vyOVIMipNjGBqnN1QIyIqLXfu3IGRkZH0uGXLlli/fj2mT5+Ojz76CLVq1cK2bdvyne6IiKiySMtUIT4lA49TM5CYmonHqdntzoTUTCSkZmQ/Ts1+/Dj1eTu1NIauatqimvakpZkxLE1NtNqnz9ebZK+X1pnA3FQ7wZiz/fliktHE2KjwgIjKMYUQhjFL1XvvvYf169fjjz/+QJ06daTldnZ2sLCwQFJSEjp37ozU1FRs3boVVlZWUpmqVavC2NgYKpUKjRo1gpubGxYsWICYmBgMHjwYI0aMwBdffAEAiIyMRP369TF69GgMGzYMBw4cwLhx4/DXX38V+WrdSUlJsLOzky7IQ0RUnmVkqRGblIa45DQ8SM5OOj56koFHT9LxMCUD8U+eL4tPzdCp56KNuQlszU1hY24Ca6UJrM1NYGNuCmulyfNlmuXK7HWWypzJxWf/mxqzkUaVGtsiVBjuI0RUXqRlqvDwSToeJKfj4ZMMPHySjofJ6XjwJP3Z/QxpfXJ6Vomfx0gB2Dxrh9qYmz5ra5o8f5zjf2ulyfOEo5kxLEyfJxfNzYxhybYoUZEUtT1iMMlJhSLvXilr1qzB0KFDERoaivbt2+dZJjIyEt7e3gCA27dvY9SoUQgNDYWVlRWCg4Mxb9486YreABAaGooJEybg8uXLcHd3xyeffIKhQ4cWOVY29oiovEhOy0RMYhpiktKy/392PzYpDdGJ2f8/fFL8i3Y4WJrCyVoJR0sz2Fmawt7CFHYWprC3zP7fztIs+3GO5TbmpuyBSKQnbItQYbiPEJEh0JwEj0p4iqjEp4hKeHY/4SmiE7PvJ6UVL+FoYqSAvaUZHCyz25j2lmawtzCFg5VZ9mOL7HV2lqZwsMxeZmtuCksz43zzDkRUOspdcrI8YWOPiAxFRpYa9x6n4k78s9ujVNx+9v+9x6lFHk5tZmwEFzslqlor4WSthJOVGZyszeBkpYSTtRmqWGf/72hlBkdLM54pJpIZ2yJUGO4jRFQW1GqBqMSniHyYglsPU3D7USqiE9Nw/1kC8sGT9CKNujEzNkIVazNUsVGiinV2m7SKTXYbtIq1ElVzLLe1MGGSkaicKGp7xGDmnCQiorylZapwPe4Jbj1KeZ6AfJSdjIxOfFropNw25iZ4yc4cLrbmcLU1z75vl33f9dn/jlZmbOQRERERUZ407dH/4pJxLfYJbjxrm956lIqMLHWB25qZGMHNzhwv2VnAzd4CbvbmcLO3wEt22f+72Jgz4UhUyTE5SURkILJUatx8mIKrMcm4Fqu5PcHtRykFJiAtTI3h6WgJTydLeDpawuvZ/+4OlnjJzhxWSh7qiYiIiKhwQghEJaYh4n4iLt1PxL8xyfgvruD2qKmxAp6OlqhexQpeTlaoZq+dhHTiSXAiKgR/sRIRySAjS43/4pIRcT8REfeTEBGViCvRSUjLzPvMs4OlKXyqWsPL0RIezxKQXk7Z96taK9ngIyIiIqJii0p4irN3HiPifhIuRSUi4n4iHqdm5lnW3tIUtZ1tUMvFGjWdreFT1RrVnazgZm/OKX+ISCdMThIRlYG45DScvf0YYc9uEfeTkKHKnYi0MjNGHVcb1HG1QS3n7P9ru9igijXPOBMRERFRyWWq1Pg3Ohlnbscj7PZjnL39GFGJabnKmRgpUNvFBvWr2cLX1Ta7XepizRPiRFRqmJwkIioFdx6l4tiNh/jn5iOE3XmMu/FPc5WxNTdB/Wp2z29utvB2soIRr2hNRERERDpSqwX+jUnGsesPceT6Q5yOjMfTTO2LJRobKeDraoOGHvao72YH/2p2qO1qDaWJsUxRE1FlxOQkEZEexKdk4PiNhzh2/SGOXn+YKxmpUAB1XGzQ1MsBTb0c0MTTAV5Oljz7TERERER6E5eUhtBrD3Dsena79OGTDK31tuYmaOLlgKaeDmjq7YCG7vacn5yIZMejEBFRCQghcCU6Gfsux+LvK7G4eD9Ra72JkQKNPe0RUKMKmnk5oLGnPWzMTWWKloiIiIgqqtuPUrDnUgx2R8Tg3N0EiBwXrrEwNcbLPo5oXbMKWteqgtrONhylQ0QGh8lJIqIiylKpcepWPPZdjsW+y7G491i7d6Svqw1a1ayC1jWroHl1R1jzLDQRERERlYJrscnYeTEauyNi8G9Msta6hu52aFOrKlrXqoImng4wM+HFaojIsPGXMxFRAYQQCL+bgN/P3seOC1FaVy9UmhihTa2q6Ozngna+VeFsYy5jpERERERUkT1OycD281H4Leye1qgdYyMFWvg4IqieKzr7ucLVjm1SIipfmJwkIsrDvcep2HbuPn4/ex83H6ZIyx2tzNDB1xmv+LmgTa0qsDTjYZSIiIiISk/43QT8dPwWdlyIRoZKDQAwNVYgsLYzutR3RUdfZzhYmckcJRFRyfFXNRHRM5kqNXZHxGDdP7dx8ma8tNzC1Bhd6ruiT5NqCPBxgokxh8YQERERUelRqQV2RUTjh8M3cf7e816Sfi/Zon8zd/RsVA2OTEgSUQXB5CQRVXqPUzKw7p/b+PnkbcQmpQPIvrp2gI8T+jRxR5f6rpw/koiIiIhKXXqWCpvP3MP3h2/iTnwqAMDM2Ag9Gr6EIQHeaORhL2+ARESlgL+2iajSiklMw6ojN7H+1B2kZqgAAFWslRj0sicGNPeAm72FzBESERERUWWQpVLjt7B7+Hr/f4hKTAMAOFiaIrilNwa38IKTtVLmCImISg+Tk0RU6cQlp+Gb/dex6fRdad6eem62GNnGB938X+IVDYmIiIioTAghsOdSLObv/heRz+Y5d7U1x7uBPni9uQfnNyeiSoFHOiKqNBKfZuL7wzfw49FbeJqZ3VPy/7wd8V77GgisXRUKhULmCImIiIiosrgWm4xP/7yEY9cfAQCcrMwwql0NvNXCC+amxjJHR0RUdpicJKIKT60W+PXMXSzYcxXxKRkAgEYe9pjSpQ5a1qgic3REREREVJmkZaqw5O9rWHUkEiq1gJmJEd5p64N3A2vAivOcE1ElxCMfEVVo5+8mYMYfEdJVDmtUtcKULr7o7OfCnpJEREREVKbO3IrHlN8u4OazIdxB9VwwvbsfPBwtZY6MiEg+TE4SUYWUlqnCl/uuYdWRm1ALwFppgvGdaiG4pTdMjTmnJBERERGVnUyVGov2XsX3h29CCMDFVok5vfzRyc9F7tCIiGTH5CQRVThht+MxefPzM9K9Grnho+514WxjLnNkRERERFTZxCSmYeyGszh96zEAoH9Td0zv4Qc7C1OZIyMiMgxMThJRhaFSC3x78DqW/H0N6mdnpL/o7Y+OdXlGmoiIiIjK3vHrDzF2wzk8SsmAjdIEC/o1QFf/l+QOi4jIoDA5SUQVwoPkdIzfdE662mGfxtUw87V6PCNNRERERLL4LewePtxyAVlqgbov2WLFoCbwrmIld1hERAaHyUkiKvfC7yZg5E9n8CA5HRamxvi8V330beoud1hEREREVAkJIbD84HUs2nsNANCzkRvm920Ac1NjmSMjIjJMTE4SUbm2OyIG4zedQ1qmGrVdrPHtoCao6Wwjd1hEREREVAmp1QKf/BGBdf/cAQCMalcDkzvXgZGRQubIiIgMF5OTRFQuCSGw6kgkvth1BUIA7etUxTcDm8BaycMaEREREZU9IQRmbM9OTCoUwKev1cOQAG+5wyIiMnj8FU9E5Y4QAov2XsXygzcAAEMCvDCjhx9MjI1kjoyIiIiIKiMhBD7bcRm/nMxOTH75ekP0bsxphoiIioLJSSIqV4QQWLjnKr4NzU5MTuvqi/+19YFCwaEyRERERCSP+buvYs2xW9n3+zRgYpKIqBiYnCSickMIgQV7rmLFs8TkjB5+GNa6usxREREREVFl9svJ21h5KLt9OrtXfbze3EPmiIiIyhcmJ4mo3Pg29IaUmJz1qh+GtmJikoiIiIjkc+LGI8zafgkAMOmV2hjcwkvmiIiIyh+DmaBt7ty5aN68OWxsbODs7IxevXrh6tWrWmXS0tIwevRoODk5wdraGn379kVsbKxWmTt37qB79+6wtLSEs7MzJk+ejKysLK0yoaGhaNKkCZRKJWrWrImQkJDSfnlEpKM/wu9j4Z7sY8KMHkxMEhEREZG87jxKxah1YchSC7zW0A1jOtSUOyQionLJYJKThw4dwujRo3Hy5Ens27cPmZmZ6Ny5M1JSUqQyEyZMwJ9//onNmzfj0KFDiIqKQp8+faT1KpUK3bt3R0ZGBo4fP461a9ciJCQEM2bMkMpERkaie/fuaN++PcLDwzF+/HiMGDECe/bsKdPXS0RFdyoyHpM3XwAAjGhdnUO5iYiIiEhWKelZGPHTaSSkZqKBux0W9GvAOdCJiEpIIYQQcgeRlwcPHsDZ2RmHDh1C27ZtkZiYiKpVq2L9+vXo168fAODff/9F3bp1ceLECbRo0QK7du1Cjx49EBUVBRcXFwDAypUrMXXqVDx48ABmZmaYOnUq/vrrL0REREjP9cYbbyAhIQG7d+8uUmxJSUmws7NDYmIibG1t9f/iiUgS+TAFvb89hoTUTHSp54pvBzWBkREbfkRUubEtQoXhPkJUuqb8dh6/nrkHZxslto9pDVc7c7lDIiIyOEVtjxhMz8kXJSYmAgAcHR0BAGFhYcjMzESnTp2kMr6+vvD09MSJEycAACdOnIC/v7+UmASAoKAgJCUl4dKlS1KZnHVoymjqyEt6ejqSkpK0bkRU+tIyVXhv3VkkpGaioYc9lgxoxMQkEREREclqx4Uo/HrmHhQK4Os3GzMxSUSkI4NMTqrVaowfPx6tWrVC/fr1AQAxMTEwMzODvb29VlkXFxfExMRIZXImJjXrNesKKpOUlISnT5/mGc/cuXNhZ2cn3Tw8ePU1orIwb9e/uBKdBEcrM3w/uCkszIzlDomIiIiIKrGHT9IxfVv2KLwx7WuihY+TzBEREZV/BpmcHD16NCIiIrBx40a5QwEATJs2DYmJidLt7t27codEVOHtuxyLkOO3AACL+zeEiy3PSBMRERGRvD778zISUjNR9yVbjOtYS+5wiIgqBBO5A3jRmDFjsGPHDhw+fBju7u7ScldXV2RkZCAhIUGr92RsbCxcXV2lMqdOndKqT3M175xlXrzCd2xsLGxtbWFhYZFnTEqlEkqlUufXRkRFE534FJN/Ow8g+wI47X2dZY6IiIiIiCq7A//GYvv5KBgpgPl9/WFqbJB9fYiIyh2DOZoKITBmzBhs3boVBw4cQPXq2lfjbdq0KUxNTbF//35p2dWrV3Hnzh0EBAQAAAICAnDx4kXExcVJZfbt2wdbW1v4+flJZXLWoSmjqYOI5CWEwJTfLiAhNRP+1ewwpYuv3CERERERUSWXmpGF6Vuzh3OPaOODBu728gZERFSBGEzPydGjR2P9+vX4448/YGNjI80RaWdnBwsLC9jZ2WH48OGYOHEiHB0dYWtri7FjxyIgIAAtWrQAAHTu3Bl+fn4YPHgwFixYgJiYGEyfPh2jR4+Wej6+++67WLZsGaZMmYJhw4bhwIED+PXXX/HXX3/J9tqJ6Llt4fdx5L+HMDMxwldvNIKZicGcQyEiIiKiSmrVkUhEJaahmr0FJnSqLXc4REQVSrGTk3369Cn2k6xcuRLOzgUPy1yxYgUAoF27dlrL16xZg6FDhwIAlixZAiMjI/Tt2xfp6ekICgrCt99+K5U1NjbGjh07MGrUKAQEBMDKygrBwcH47LPPpDLVq1fHX3/9hQkTJuCrr76Cu7s7Vq1ahaCgoGK/LiLSr4TUDMzecQUA8H7HWvCpai1zRERERERU2cUlp2HloRsAgA+7+vIijUREeqYQQojibGBkZITXX3893/kZX7R+/XpcuXIFPj4+JQrQECUlJcHOzg6JiYmwtbWVOxyiCuOzPy/jx2ORqO1ijR1j27DXJBFRPtgWocJwHyHSn2m/X8SGU3fQyMMeW99rCYVCIXdIRETlQlHbIyUa1v31118X2hNS47fffivJUxBRJXPrYQp+PnkLADC9ux8Tk0REREQku/9ik7Hp9B0AwMfd6zIxSURUCor96//gwYNwdHQscvldu3ahWrVqxX0aIqpk5u/+F5kqgcDaVdG2dlW5wyEiIiIiwtcHrkMtgM5+LmjuXfTfwUREVHTFTk4GBgbi6dOnhZY7dOgQAKB169bSxWiIiPJy5lY8dkXEwEgBfNStrtzhEBER6dWKFSvQoEED2NrawtbWFgEBAdi1a1e+5UNCQqBQKLRu5ubmZRgxEQFA5MMU/HUhCgAwnhfBISIqNSUaN/nqq68iPT093/WHDh1Cjx49ShwUEVUui/deAwC83swDdVxtZI6GiIhIv9zd3TFv3jyEhYXhzJkz6NChA3r27IlLly7lu42trS2io6Ol2+3bt8swYiICgBWh2b0mO/g6w8+Nc7cSEZWWEs05+ejRI7z++uvYunUrjIy085uHDx9G9+7d8fbbb+slQCKq2M7ciseJm49gaqzA2I615A6HiIhI71599VWtx3PmzMGKFStw8uRJ1KtXL89tFAoFXF1dyyI8IspDVMJT/H72PgBgdPuaMkdDRFSxlajn5J49exAREYGhQ4dqLT9y5Ah69OiB4OBgfPPNN/qIj4gquK8PXAcA9G3ijmr2FjJHQ0REVLpUKhU2btyIlJQUBAQE5FvuyZMn8PLygoeHR6G9LAEgPT0dSUlJWjciKrmfT95Gllrg5eqOaOrlIHc4REQVWomSk25ubti7dy/+/vtvvP/++wCAo0ePolu3bhg4cCCWL1+u1yCJqGK6Ep2Ew9cewNhIgffa8Yw0ERFVXBcvXoS1tTWUSiXeffddbN26FX5+fnmWrVOnDn788Uf88ccf+OWXX6BWq9GyZUvcu3cv3/rnzp0LOzs76ebh4VFaL4WowkvPUmHT6bsAgLdbVZc5GiKiiq9Ew7oBoEaNGti9ezfatWuHxMREbN26FW+++SZWrlypz/iIqAJbe/wWAKBLPVd4OlnKGwwREVEpqlOnDsLDw5GYmIjffvsNwcHBOHToUJ4JyoCAAK1elS1btkTdunXx3XffYfbs2XnWP23aNEycOFF6nJSUxAQlUQntuhiD+JQMvGRnjk51neUOh4iowitRclIzTMTb2xvr1q1D79690atXLyxcuFBrCImtLScNJqK8JaRmYFt49jw+wS295Q2GiIiolJmZmaFmzexRAk2bNsXp06fx1Vdf4bvvvit0W1NTUzRu3BjXr1/Pt4xSqYRSqdRbvESV2S8nsy9ANfD/PGFiXKLBhkREVAwlSk7a29tDoVBIj4UQ+PXXX7F582bpsUKhgEql0k+URFThbDp9F2mZatR9yRbNvTmPDxERVS5qtRrp6elFKqtSqXDx4kV069atlKMiorvxqThz+zGMFMCA5ux9TERUFkqUnDx48KC+4yCiSkStFvj52RnpoS29tE52EBERVTTTpk1D165d4enpieTkZKxfvx6hoaHYs2cPAGDIkCGoVq0a5s6dCwD47LPP0KJFC9SsWRMJCQlYuHAhbt++jREjRsj5MogqhT8vRAEAAmo4wdnWXOZoiIgqhxIlJwMDA/UdBxFVIidvPsK9x09ha26Cno2qyR0OERFRqYqLi8OQIUMQHR0NOzs7NGjQAHv27MErr7wCALhz5w6MjJ4PHX38+DFGjhyJmJgYODg4oGnTpjh+/Hi+F9AhIv3583w0AODVBm4yR0JEVHkUOzmZlJRUrLkkk5OTYWNjU9ynIaIKbMvZ7LkmezR0g7mpsczREBERla7Vq1cXuD40NFTr8ZIlS7BkyZJSjIiI8hKV8BRXopNgpAC61HeVOxwiokqj2LP7Ojg4IC4ursjlq1Wrhps3bxb3aYiogkrNyMKuiOwz0n2bsNckERERERmGY9cfAgAauNvD3tJM5miIiCqPYvecFEJg1apVsLa2LlL5zMzMYgdFRBXXnksxSM1QwcvJEk08eSEcIiIiIjIMmuRk65pVZI6EiKhyKXZy0tPTEz/88EORy7u6usLU1LS4T0NEFdSOZ/P49G5cjRfCISIiIiKDce5uAgCghY+TvIEQEVUyxU5O3rp1qxTCIKLK4El6Fo48OyPdtf5LMkdDRERERJQtKS0Ttx+lAgDquRX9GgtERKS7Ys85SURUUoeuPkBGlhreTpao7VK0qSGIiIiIiErblagkAICbnTkcrDjfJBFRWWJykojKzJ5LMQCAoHquHNJNRERERAbjSnR2ctKPvSaJiMock5NEVCayVGocvBoHAOhcz0XmaIiIiIiInrsdnz2k26cqR/cQEZU1JieJqExcvJ+I5LQs2JqboJEHr9JNRERERIbjbvxTAICHg4XMkRARVT5MThJRmTh+4xEAIKCGE4yNOKSbiIiIiAzHvcfZPSfdHS1ljoSIqPLROTl55MgRvPXWWwgICMD9+/cBAD///DOOHj2qc3BEVHGceJacbFmjisyREBERERE9J4TA3WfDuj0cmJwkIiprOiUnt2zZgqCgIFhYWODcuXNIT08HACQmJuKLL77QS4BEVP6p1AJhtx8DyO45SURERERkKJLTs5CSoQIAVLPnsG4iorKmU3Ly888/x8qVK/HDDz/A1NRUWt6qVSucPXtW5+CIqGK48eAJnmaqYGlmjBqcZJyIiIiIDMijJxkAAGulCSzMjGWOhoio8tEpOXn16lW0bds213I7OzskJCToUjURVSAR9xMBAPXcbDnfJBEREREZlIdPskcAOlmbyRwJEVHlpFNy0tXVFdevX8+1/OjRo/Dx8dGlaiKqQC5KyUk7mSMhIiIiItL26Flysoq1UuZIiIgqJ52SkyNHjsT777+Pf/75BwqFAlFRUVi3bh0++OADjBo1Sl8xElE5dzUmGQDg52YrcyRERERERNoePhvW7WTFnpNERHLQKTn54YcfYuDAgejYsSOePHmCtm3bYsSIEXjnnXcwduzYYtV1+PBhvPrqq3Bzc4NCocC2bdu01j958gRjxoyBu7s7LCws4Ofnh5UrV2qVSUtLw+jRo+Hk5ARra2v07dsXsbGxWmXu3LmD7t27w9LSEs7Ozpg8eTKysrJK9PqJqGhuP8q++mH1KlYyR0JEREREpO35sG72nCQikkOJk5MqlQpHjhzB6NGjER8fj4iICJw8eRIPHjzA7Nmzi11fSkoKGjZsiOXLl+e5fuLEidi9ezd++eUXXLlyBePHj8eYMWOwfft2qcyECRPw559/YvPmzTh06BCioqLQp08frZi7d++OjIwMHD9+HGvXrkVISAhmzJhR/DeAiIokI0uN6MSnAAAvJ0uZoyEiIiIi0qa5IE4VzjlJRCQLk5JuaGxsjM6dO+PKlSuwt7eHn5+fToF07doVXbt2zXf98ePHERwcjHbt2gEA/ve//+G7777DqVOn8NprryExMRGrV6/G+vXr0aFDBwDAmjVrULduXZw8eRItWrTA3r17cfnyZfz9999wcXFBo0aNMHv2bEydOhWzZs2CmRm/jIj07d7jVKgFYGlmjKo8G01EREREBibhaSYAwM7CVOZIiIgqJ52GddevXx83b97UVywFatmyJbZv34779+9DCIGDBw/i2rVr6Ny5MwAgLCwMmZmZ6NSpk7SNr68vPD09ceLECQDAiRMn4O/vDxcXF6lMUFAQkpKScOnSpXyfOz09HUlJSVo3Iiqa2/HZQ7o9HS2hUPBK3URERERkWJLTspOTtkxOEhHJQqfk5Oeff44PPvgAO3bsQHR0dKkm8L755hv4+fnB3d0dZmZm6NKlC5YvX462bdsCAGJiYmBmZgZ7e3ut7VxcXBATEyOVyZmY1KzXrMvP3LlzYWdnJ908PDz0+MqIKrb7j7OHdLs7cEg3ERERERme5LTsaxDYmpd4YCEREelAp6Nvt27dAACvvfaaVo8oIQQUCgVUKpVu0eXwzTff4OTJk9i+fTu8vLxw+PBhjB49Gm5ublq9JUvDtGnTMHHiROlxUlISE5RERaSZYLyqDYd0ExEREZHh0fSctDFnz0kiIjnolJw8ePCgvuIo0NOnT/HRRx9h69at6N69OwCgQYMGCA8Px6JFi9CpUye4uroiIyMDCQkJWr0nY2Nj4erqCgBwdXXFqVOntOrWXM1bUyYvSqUSSiUTK0Ql8SD5WXKSE4wTERERkQHS9Jy0Yc9JIiJZ6HT0DQwM1FccBcrMzERmZiaMjLRHoRsbG0OtVgMAmjZtClNTU+zfvx99+/YFAFy9ehV37txBQEAAACAgIABz5sxBXFwcnJ2dAQD79u2Dra2tzhf0IaK8seckERERERmy58lJ9pwkIpKDTsnJw4cPF7heMx9kUTx58gTXr1+XHkdGRiI8PByOjo7w9PREYGAgJk+eDAsLC3h5eeHQoUP46aef8OWXXwIA7OzsMHz4cEycOBGOjo6wtbXF2LFjERAQgBYtWgAAOnfuDD8/PwwePBgLFixATEwMpk+fjtGjR7NnJFEpefgkAwBQhVfqJiIiIiIDo1ILPElnz0kiIjnpdPRt165drmU5554szpyTZ86cQfv27aXHmjkeg4ODERISgo0bN2LatGkYNGgQ4uPj4eXlhTlz5uDdd9+VtlmyZAmMjIzQt29fpKenIygoCN9++6203tjYGDt27MCoUaMQEBAAKysrBAcH47PPPivOyyaiYtD0nKzCnpNEREREZGCePOs1CTA5SUQkF52Ovo8fP9Z6nJmZiXPnzuGTTz7BnDlzilVXu3btIITId72rqyvWrFlTYB3m5uZYvnw5li9fnm8ZLy8v7Ny5s1ixEVHJaeacZM9JIiIiIjI0Sc8uhmNmYgSlibHM0RARVU46JSft7OxyLXvllVdgZmaGiRMnIiwsTJfqiaicS83IQmpGdg/qKrwgDhEREREZGM18k7bsNUlEJBujwosUn4uLC65evVoaVRNROZL4NPtMtImRAtZKNviIiIiIyLAkP+s5acuL4RARyUanbMGFCxe0HgshEB0djXnz5qFRo0a6VE1EFYB0JtrCVGs+WiIiIiIiQ6C5GI41e04SEclGpyNwo0aNoFAocs0V2aJFC/z44486BUZE5V/Ss56TnFyciIiIiAyRZgoiC1PON0lEJBedMgaRkZFaj42MjFC1alWYm5vrFBQRVQxJHCZDRERERAbsaWZ2ctLSjMlJIiK56DTn5KFDh+Dq6govLy94eXnBw8MD5ubmyMjIwE8//aSvGImonEp6qhnWzZ6TRERERGR40p4lJy2YnCQiko1Oycm3334biYmJuZYnJyfj7bff1qVqIqoA2HOSiIiIiAyZZli3OYd1ExHJRqfkpBAiz4tc3Lt3D3Z2drpUTUQVgHRBHCYniYiIiMgAPc3gsG4iIrmVaKxl48aNoVAooFAo0LFjR5iYPK9GpVIhMjISXbp00VuQRFQ+8YI4RERERGTINHNO8oI4RETyKVHGoFevXgCA8PBwBAUFwdraWlpnZmYGb29v9O3bVy8BElH5JQ3rtmDPSSIiIiIyPJqekxZmPJlORCSXEh2BZ86cCQDw9vbGgAEDeHVuIsqT5oI47DlJRERERIZIM+cke04SEclHp4xBcHCwvuIgogroSXp2ctJayeQkERERERkezdW6OeckEZF8dMoYqFQqLFmyBL/++ivu3LmDjIwMrfXx8fE6BUdE5dvzCcaZnCQiIiIiw8M5J4mI5KfT1bo//fRTfPnllxgwYAASExMxceJE9OnTB0ZGRpg1a5aeQiSi8io1M7vnpKWSjT0iIiIiMjypGdntVXP2nCQiko1Oycl169bhhx9+wKRJk2BiYoI333wTq1atwowZM3Dy5El9xUhE5VRq+rOekzwTTUREREQG6GmmGgDbq0REctIpORkTEwN/f38AgLW1NRITEwEAPXr0wF9//aV7dERUrqVyWDcRERERGbCnz3pOWrDnJBGRbHRKTrq7uyM6OhoAUKNGDezduxcAcPr0aSiVSt2jI6JyLZWNPSIiIqxYsQINGjSAra0tbG1tERAQgF27dhW4zebNm+Hr6wtzc3P4+/tj586dZRQtUeUizTnJ9ioRkWx0Sk727t0b+/fvBwCMHTsWn3zyCWrVqoUhQ4Zg2LBhegmQiMovTWPPinNOEhFRJebu7o558+YhLCwMZ86cQYcOHdCzZ09cunQpz/LHjx/Hm2++ieHDh+PcuXPo1asXevXqhYiIiDKOnKjie5qRPaybF8QhIpKPQggh9FXZyZMncfz4cdSqVQuvvvqqvqo1OElJSbCzs0NiYiJsbW3lDofIIGVkqVF7enavkPMzOsPO0lTmiIiIKg62Rco/R0dHLFy4EMOHD8+1bsCAAUhJScGOHTukZS1atECjRo2wcuXKItXPfYSoaOrN2I2UDBUOTW4HLycrucMhIqpQitoeKXHPyczMTAwbNgyRkZHSshYtWmDixIkVOjFJREXz9Nl8kwCHyRAREWmoVCps3LgRKSkpCAgIyLPMiRMn0KlTJ61lQUFBOHHiRFmESFRpCCGeD+tmz0kiItmUODlpamqKLVu26DMWIqpAUjOz55s0MVLAzESnGSSIiIjKvYsXL8La2hpKpRLvvvsutm7dCj8/vzzLxsTEwMXFRWuZi4sLYmJi8q0/PT0dSUlJWjciKlh6lhrqZ+MIzXkynYhINjplDHr16oVt27bpKRQiqkg0V+pmr0kiIiKgTp06CA8Pxz///INRo0YhODgYly9f1lv9c+fOhZ2dnXTz8PDQW91EFVVaZo6RPuw5SUQkGxNdNq5VqxY+++wzHDt2DE2bNoWVlfYcHePGjdMpOCIqv1LTn10Mx0ynwwwREVGFYGZmhpo1awIAmjZtitOnT+Orr77Cd999l6usq6srYmNjtZbFxsbC1dU13/qnTZuGiRMnSo+TkpKYoCQqhGZIt6mxAqbGHOlDRCQXnbIGq1evhr29PcLCwhAWFqa1TqFQMDlJVImlZmQP67Zkz0kiIqJc1Go10tPT81wXEBCA/fv3Y/z48dKyffv25TtHJQAolUoolUp9h0lUoaVnZl+p29yE7VUiIjnplJzMeTEcIqKcUjM5rJuIiAjI7tXYtWtXeHp6Ijk5GevXr0doaCj27NkDABgyZAiqVauGuXPnAgDef/99BAYGYvHixejevTs2btyIM2fO4Pvvv5fzZRBVOOlZ2clJzo9ORCQvvYy3zMjIQGRkJGrUqAETEw7hJKLnV+tmz0kiIqrs4uLiMGTIEERHR8POzg4NGjTAnj178MorrwAA7ty5AyOj58mRli1bYv369Zg+fTo++ugj1KpVC9u2bUP9+vXleglEFVJ6VnZ7VcnkJBGRrHTKJKampmLs2LFYu3YtAODatWvw8fHB2LFjUa1aNXz44Yd6CZKIyp9UKTnJExZERFQ+NGnSpFjlFQoFtm/fjmrVqhVYbvXq1QWuDw0NzbWsf//+6N+/f7HiIaLi0fScVPJiOEREstIpazBt2jScP38eoaGh6NKli7S8U6dOmDVrFpOTRJUY55wkIqLyJjw8HJMmTYK1tXWhZYUQmDdvXr7zRhKR4dPMOcmek0RE8tIpOblt2zZs2rQJLVq0gEKhkJbXq1cPN27cKFZdhw8fxsKFCxEWFobo6Ghs3boVvXr10ipz5coVTJ06FYcOHUJWVhb8/PywZcsWeHp6AgDS0tIwadIkbNy4Eenp6QgKCsK3334LFxcXqY47d+5g1KhROHjwIKytrREcHIy5c+dyODqRnml6TnLOSSIiKk8mT54MZ2fnIpVdvHhxKUdDRKUpQ5XdXuWck0RE8tLpKPzgwYM8G28pKSlaycqiSElJQcOGDbF8+fI819+4cQOtW7eGr68vQkNDceHCBXzyyScwNzeXykyYMAF//vknNm/ejEOHDiEqKgp9+vSR1qtUKnTv3h0ZGRk4fvw41q5di5CQEMyYMaNYsRJR4aSrH3KYDBERlRORkZGoWrVqkctfvnwZXl5epRgREZUm9pwkIjIMOnUXbNasGf766y+MHTsWAKSE5KpVqxAQEFCsurp27YquXbvmu/7jjz9Gt27dsGDBAmlZjRo1pPuJiYlYvXo11q9fjw4dOgAA1qxZg7p16+LkyZNo0aIF9u7di8uXL+Pvv/+Gi4sLGjVqhNmzZ2Pq1KmYNWsWzMzMihUzEeUv7dkE4+YmTE4SEVH5UNxEo4eHRylFQkRlQZpzku1VIiJZ6XSK6IsvvsBHH32EUaNGISsrC1999RU6d+6MNWvWYM6cOfqKEWq1Gn/99Rdq166NoKAgODs74+WXX8a2bdukMmFhYcjMzESnTp2kZb6+vvD09MSJEycAACdOnIC/v7/WMO+goCAkJSXh0qVL+T5/eno6kpKStG5EVDDpTLQpz0QTEVH5s3v3bhw9elR6vHz5cjRq1AgDBw7E48ePZYyMiPSFV+smIjIMOh2FW7dujfDwcGRlZcHf3x979+6Fs7MzTpw4gaZNm+orRsTFxeHJkyeYN28eunTpgr1796J3797o06cPDh06BACIiYmBmZkZ7O3ttbZ1cXFBTEyMVCZnYlKzXrMuP3PnzoWdnZ1041lyosKx5yQREZVnkydPlk5IX7x4EZMmTUK3bt0QGRmJiRMnyhwdEelDRhZPphMRGQKdrwJTo0YN/PDDD/qIJV9qdfaXRs+ePTFhwgQAQKNGjXD8+HGsXLkSgYGBpfr806ZN02qEJiUlMUFJVAj2nCQiovIsMjISfn5+AIAtW7agR48e+OKLL3D27Fl069ZN5uiISB80w7rNjNleJSKSk87JSZVKha1bt+LKlSsAAD8/P/Ts2VOvV7+uUqUKTExMpAaiRt26daXhNq6ursjIyEBCQoJW78nY2Fi4urpKZU6dOqVVR2xsrLQuP0qlEkqlUh8vhajS4DAZIiIqz8zMzJCamgoA+PvvvzFkyBAAgKOjI6f4IaogOOckEZFh0ClrcOnSJdSuXRvBwcHYunUrtm7diuDgYNSqVQsRERH6ihFmZmZo3rw5rl69qrX82rVr0sTlTZs2hampKfbv3y+tv3r1Ku7cuSNdnCcgIAAXL15EXFycVGbfvn2wtbXNlfgkIt2k8WrdRERUjrVu3RoTJ07E7NmzcerUKXTv3h1AdvvT3d1d5uiISB/SM5+dTOdIHyIiWenUvXHEiBGoV68ezpw5AwcHBwDA48ePMXToUPzvf//D8ePHi1zXkydPcP36delxZGQkwsPD4ejoCE9PT0yePBkDBgxA27Zt0b59e+zevRt//vknQkNDAQB2dnYYPnw4Jk6cCEdHR9ja2mLs2LEICAhAixYtAACdO3eGn58fBg8ejAULFiAmJgbTp0/H6NGj2TOSSM/Yc5KIiMqzZcuW4b333sNvv/2GFStWoFq1agCAXbt2oUuXLjJHR0T6kK7S9Jxke5WISE46JSfDw8O1EpMA4ODggDlz5qB58+bFquvMmTNo37699Fgzx2NwcDBCQkLQu3dvrFy5EnPnzsW4ceNQp04dbNmyBa1bt5a2WbJkCYyMjNC3b1+kp6cjKCgI3377rbTe2NgYO3bswKhRoxAQEAArKysEBwfjs88+K+lbQET5SGfPSSIiKocOHDiAwMBAeHp6YseOHbnWL1myRIaoiKg0aNqrZkxOEhHJSqfkZO3atREbG4t69eppLY+Li0PNmjWLVVe7du0ghCiwzLBhwzBs2LB815ubm2P58uVYvnx5vmW8vLywc+fOYsVGRMXHnpNERFQejRgxAgkJCejSpQt69eqFrl27wsbGRu6wiKgUcM5JIiLDoFPWQNOL8bfffsO9e/dw7949/Pbbbxg/fjzmz5+PpKQk6UZElQsbe0REVB7dvHkToaGh8PPzw6JFi+Ds7IxXXnkF33zzDe7cuSN3eESkRzyZTkRkGHTqOdmjRw8AwOuvvw6FQgEAUu/HV199VXqsUCigUql0eSoiKmfSnk0wbs4JxomIqJxp0KABGjRogOnTpyMqKgrbt2/H9u3bMWXKFNSpUwevvfYaXnvtNTRr1kzuUIlIB89PprO9SkQkJ52SkwcPHtRXHERUwbDnJBERVQRubm5499138e677yIlJQW7du3C9u3b0aVLF0ycOBEfffSR3CESUQllaNqrnCOdiEhWOiUnAwMD9RUHEVUw7DlJREQVjZWVFfr164d+/fpBpVIhPj5e7pCISAeak+lmxmyvEhHJSafkJACkpaXhwoULiIuLg1qt1lr32muv6Vo9EZVT7DlJRETl3enTp3Hw4MFc7VyFQoHFixejatWqMkZHRLpKf3YyXcmT6UREstIpObl7924MGTIEDx8+zLWO80wSVW5ScpKNPSIiKoe++OILTJ8+HXXq1IGLi4s0vzoArftEVH7xZDoRkWHQKTk5duxY9O/fHzNmzICLi4u+YiKici5TpYZKnX1xLHM29oiIqBz66quv8OOPP2Lo0KFyh0JEpSSDF8QhIjIIOh2FY2NjMXHiRCYmiUiL5iw0wJ6TRERUPhkZGaFVq1Zyh0FEpSg9K3uknxmTk0REstLpKNyvXz+EhobqKRQiqig0F8MBeCaaiIjKpwkTJmD58uVyh0FEpSidPSeJiAyCTsO6ly1bhv79++PIkSPw9/eHqamp1vpx48bpFBwRlU/SlQ9NjDgvFxERlUsffPABunfvjho1asDPzy9XO/f333+XKTIi0hfOOUlEZBh0Sk5u2LABe/fuhbm5OUJDQ3NNFM7kJFHlJF35kGehiYionBo3bhwOHjyI9u3bw8nJiSfbiCqgDF7AkYjIIOiUnPz444/x6aef4sMPP4SREQ/oRJQtLTO7oWduyrPQRERUPq1duxZbtmxB9+7d5Q6FiEqJNOekMX/LEhHJSaejcEZGBgYMGMDEJBFp0TT02HOSiIjKK0dHR9SoUUPuMIiolAghng/rZs9JIiJZ6XQUDg4OxqZNm/QVCxFVEOw5SURE5d2sWbMwc+ZMpKamyh0KEZWCTJWAENn3OeckEZG8dBrWrVKpsGDBAuzZswcNGjTINVH4l19+qVNwRFQ+seckERGVd19//TVu3LgBFxcXeHt752rnnj17VqbIiEgfNO1VgG1WIiK56ZScvHjxIho3bgwAiIiI0FrHScOJKi/2nCQiovKuV69ecodARKVIczEcgMlJIiK56ZScPHjwoL7iIKIKhD0niYiovJs5c6bcIRBRKdLMN2lmbMSONUREMtNL5uD69evYs2cPnj59CiB7cmEiqrykycWZnCQiIiIiA8T2KhGR4dDpSPzo0SN07NgRtWvXRrdu3RAdHQ0AGD58OCZNmqSXAImo/EnPzO45yWHdRERUnjg6OuLhw4dFLu/p6Ynbt2+XYkREVFqkkT68UjcRkex0GtY9YcIEmJqa4s6dO6hbt660fMCAAZg4cSIWL16sc4BEVP7wTDQREZVHCQkJ2LVrF+zs7IpU/tGjR1CpVIUXJCKDkyG1V3kynYhIbjolJ/fu3Ys9e/bA3d1da3mtWrV4FpmoEktjz0kiIiqngoOD5Q6BiMqANOckT6YTEclOp+RkSkoKLC0tcy2Pj4+HUqnUpWoiKsfYc5KIiMojtVpdeCEiqhDSM9leJSIyFDodidu0aYOffvpJeqxQKKBWq7FgwQK0b99e5+CIqHySkpPsOUlEREREBkiac5LJSSIi2ZWo56SPjw9Onz6NBQsWoGPHjjhz5gwyMjIwZcoUXLp0CfHx8Th27Ji+YyWickIa1s3GHhEREREZIM45SURkOEqUObh16xZUKhXq16+Pa9euoXXr1ujZsydSUlLQp08fnDt3DjVq1NB3rERUTkjDZNhzkoiIiIgMEOecJCIyHDrNOQkAdnZ2+Pjjj/URCxFVEGkcJkNEREREBozDuomIDEeJk5N79uyBnZ1dgWVee+21klZPROUYJxgnIiIiIkP2fI50tleJiORW4uRkcHBwgesVCgVUKlVJqyeickw6E81h3UREVE4FBgZi+PDh6N+/PywsLOQOh4j07PnJdLZXiYjkVuLTRDExMVCr1fneipuYPHz4MF599VW4ublBoVBg27Zt+ZZ99913oVAosHTpUq3l8fHxGDRoEGxtbWFvb4/hw4fjyZMnWmUuXLiANm3awNzcHB4eHliwYEGx4iSiwmWo2HOSiIjKt8aNG+ODDz6Aq6srRo4ciZMnT8odEhHpEdurRESGo0RHYoVCoe84kJKSgoYNG2L58uUFltu6dStOnjwJNze3XOsGDRqES5cuYd++fdixYwcOHz6M//3vf9L6pKQkdO7cGV5eXggLC8PChQsxa9YsfP/993p/PUSVGYd1ExFRebd06VJERUVhzZo1iIuLQ9u2beHn54dFixYhNjZW7vCISEfpmdmdaXhBHCIi+ZXoSCyE0Hcc6Nq1Kz7//HP07t073zL379/H2LFjsW7dOpiammqtu3LlCnbv3o1Vq1bh5ZdfRuvWrfHNN99g48aNiIqKAgCsW7cOGRkZ+PHHH1GvXj288cYbGDduHL788ku9vx6iykyaw4fDZIiIqBwzMTFBnz598Mcff+DevXsYOHAgPvnkE3h4eKBXr144cOCA3CESUQk9b68yOUlEJLcSHYmDg4PLfO4dtVqNwYMHY/LkyahXr16u9SdOnIC9vT2aNWsmLevUqROMjIzwzz//SGXatm0LMzMzqUxQUBCuXr2Kx48f5/vc6enpSEpK0roRUf549UMiIqpITp06hZkzZ2Lx4sVwdnbGtGnTUKVKFfTo0QMffPBBgdvOnTsXzZs3h42NDZydndGrVy9cvXq1wG1CQkKgUCi0bubm5vp8SUSVniY5yZ6TRETyK9GReM2aNbCxsdF3LAWaP38+TExMMG7cuDzXx8TEwNnZWWuZiYkJHB0dERMTI5VxcXHRKqN5rCmTl7lz58LOzk66eXh46PJSiCq8DDb2iIionIuLi8PixYtRv359tGnTBg8ePMCGDRtw69YtfPrpp1i1ahX27t2LlStXFljPoUOHMHr0aJw8eRL79u1DZmYmOnfujJSUlAK3s7W1RXR0tHS7ffu2Pl8eUaXHkT5ERIajxFfrLkthYWH46quvcPbs2VKZ77Iw06ZNw8SJE6XHSUlJTFASFYCNPSIiKu/c3d1Ro0YNDBs2DEOHDkXVqlVzlWnQoAGaN29eYD27d+/WehwSEgJnZ2eEhYWhbdu2+W6nUCjg6upasuCJqFAc6UNEZDjKRXLyyJEjiIuLg6enp7RMpVJh0qRJWLp0KW7dugVXV1fExcVpbZeVlYX4+HipYefq6pprAnPN44Iaf0qlEkqlUl8vh6jCk5KTpmzsERFR+bR//360adOmwDK2trY4ePBgsepNTEwEADg6OhZY7smTJ/Dy8oJarUaTJk3wxRdf5Dm1kUZ6ejrS09Olx5yGiKhgHOlDRGQ4ysWRePDgwbhw4QLCw8Olm5ubGyZPnow9e/YAAAICApCQkICwsDBpuwMHDkCtVuPll1+Wyhw+fBiZmZlSmX379qFOnTpwcHAo2xdFVIFlcIJxIiIq52bOnImEhIRcy5OSktChQ4cS1alWqzF+/Hi0atUK9evXz7dcnTp18OOPP+KPP/7AL7/8ArVajZYtW+LevXv5bsNpiIiKh3NOEhEZDr30nLx+/Tpu3LiBtm3bwsLCAkKIYg+/fvLkCa5fvy49joyMRHh4OBwdHeHp6QknJyet8qampnB1dUWdOnUAAHXr1kWXLl0wcuRIrFy5EpmZmRgzZgzeeOMNuLm5AQAGDhyITz/9FMOHD8fUqVMRERGBr776CkuWLNHxHSCinDTDZNjYIyKi8urQoUPIyMjItTwtLQ1HjhwpUZ2jR49GREQEjh49WmC5gIAABAQESI9btmyJunXr4rvvvsPs2bPz3IbTEBEVTwanISIiMhg6JScfPXqEAQMG4MCBA1AoFPjvv//g4+OD4cOHw8HBAYsXLy5yXWfOnEH79u2lx5rGVXBwMEJCQopUx7p16zBmzBh07NgRRkZG6Nu3L77++mtpvZ2dHfbu3YvRo0ejadOmqFKlCmbMmIH//e9/RY6TiAqmVgtkqgQANvaIiKj8uXDhAgBACIHLly9rXTRRpVJh9+7dqFatWrHrHTNmDHbs2IHDhw/D3d29WNuampqicePGWifyX8RpiIiKh8O6iYgMh07JyQkTJsDExAR37txB3bp1peUDBgzAxIkTi5WcbNeuHYQQRS5/69atXMscHR2xfv36Ardr0KBBic92E1HhMlRq6T6HdRMRUXnTqFEjKBQKKBSKPIdvW1hY4JtvvilyfUIIjB07Flu3bkVoaCiqV69e7JhUKhUuXryIbt26FXtbIsobL4hDRGQ4dEpO7t27F3v27Ml19rdWrVq4ffu2ToERUfmUnvk8Ockz0UREVN5ERkZCCAEfHx+cOnVK6yrdZmZmcHZ2hrFx0UcGjB49GuvXr8cff/wBGxsbqSemnZ0dLCwsAABDhgxBtWrVMHfuXADAZ599hhYtWqBmzZpISEjAwoULcfv2bYwYMUKPr5SoctOcUGd7lYhIfjolJ1NSUmBpaZlreXx8PIeVEFVSmrPQRgrAxKh4c88SERHJzcvLC0D2xWv0YcWKFQCyRwnltGbNGgwdOhQAcOfOHRgZPU+QPH78GCNHjkRMTAwcHBzQtGlTHD9+HH5+fnqJiYien1Bnz0kiIvnplJxs06YNfvrpJ2liboVCAbVajQULFmjNH0lElUd6jsnFi3thLCIiIjlt374dXbt2hampKbZv315g2ddee61IdRZl2qLQ0FCtx0uWLOEFG4lKmabnJJOTRETy0yk5uWDBAnTs2BFnzpxBRkYGpkyZgkuXLiE+Ph7Hjh3TV4xEVI6kc3JxIiIqp3r16oWYmBg4OzujV69e+ZZTKBRQqVRlFxgR6Z10QZxiTNNARESlQ6fkZP369XHt2jUsW7YMNjY2ePLkCfr06YPRo0fjpZde0leMRFSOcHJxIiIqr3IO5dbXsG4iMkzSaB9TtlmJiOSmU3ISyJ7M++OPP9ZHLERUAbChR0RERESG7nnPSbZZiYjkpnNyMi0tDRcuXEBcXFyuM8xFnYuHiCqOjBxzThIREZVX48aNQ82aNTFu3Dit5cuWLcP169exdOlSeQIjIr2QRvvwhDoRkex0Sk7u3r0bQ4YMwcOHD3Ot41w8RJVTOs9CExFRBbBly5Y8L4rTsmVLzJs3j8lJonJMrRbIVGVfrIptViIi+el0JB47diz69++P6OhoqNVqrRsTk0SVU3omz0ITEVH59+jRI9jZ2eVabmtrm+eJeSIqPzRX6gZ4EUciIkOg05E4NjYWEydOhIuLi77iIaJyTtPY4wVxiIioPKtZsyZ2796da/muXbvg4+MjQ0REpC+akT4ApyIiIjIEOg3r7tevH0JDQ1GjRg19xUNE5Vx65rNh3WzoERFROTZx4kSMGTMGDx48QIcOHQAA+/fvx+LFizmkm6icy8iRnDQ1VsgYCRERATomJ5ctW4b+/fvjyJEj8Pf3h6mpqdb6FycQJ6KKT7paN3tOEhFROTZs2DCkp6djzpw5mD17NgDA29sbK1aswJAhQ2SOjoh0IV0Mx8QICgWTk0REctMpOblhwwbs3bsX5ubmCA0N1TqwKxQKJieJKqGcjT2i/2fvvsOjKtM+jv9m0iEkAUIaBgiCFKmCYAApkqXoCqgrwqIUEdQFUbGyr1JERVERsbG4ArqLYkMERFwIIlWqoQkICAaEhJqEBNLP+0eYgTGFJJMwZ5Lv57rm2uSc55y5n0wM997nKQDgzh5++GE9/PDDOnnypPz8/OTv7+/qkACUAdvISdabBABzcKo4+X//93+aNGmSnn32WVmt/GEHQLIHAKhYTp48qX379kmSGjdurODgYBdHBMBZl2b6sAwRAJiBU9WDzMxM3XPPPRQmAdiR7AEAKoK0tDTdf//9Cg8PV+fOndW5c2eFh4dr+PDhOn/+vKvDA+CETJYhAgBTceqv8ZAhQ/TZZ5+VVSwAKgCmdQMAKoKxY8fqxx9/1OLFi5WUlKSkpCR98803+vHHH/XEE0+4OjwATsjMYaYPAJiJU9O6c3JyNHXqVH3//fdq0aJFvg1xpk2b5lRwANyP/Um0F8keAMB9ffXVV/ryyy/VtWtX+7Fbb71Vfn5+6t+/v95//33XBQfAKRlZjJwEADNxqji5c+dOtW7dWpK0a9cuh3PsegZUTvZp3R4kewAA93X+/HmFhobmOx4SEsK0bsDNZebkzfRh5CQAmINTxckffvihrOIAUEHYn0R7seYkAMB9RUdHa8KECfr444/l6+srSbpw4YImTZqk6OhoF0cHwBmMnAQAc3GqOAkAf2Zbw4dkDwDgzt566y317NlT11xzjVq2bClJ2r59u3x9ffX999+7ODoAzmDNSQAwF6eLk1u2bNHnn3+u+Ph4ZWZmOpxbsGCBs7cH4GZsG+KQ7AEA3FmzZs20f/9+zZs3T3v37pUkDRw4UIMGDZKfn5+LowPgDNvISW+WIQIAU3CqODl//nwNHjxYPXv21P/+9z/16NFDv/76qxITE3XHHXeUVYwA3AjTZAAAFUWVKlU0YsQIV4cBoIxl2Gf6sAwRAJiBU8XJl19+WW+++aZGjRqlatWq6a233lJUVJQefPBBhYeHl1WMANyIfUMckj0AgJtZtGhRsdv26dOnHCMBUJ4ys5nWDQBm4lRx8uDBg7rtttskSd7e3kpLS5PFYtHjjz+uW265RZMmTSqTIAG4D5I9AIC76tevX7HaWSwW5Vzc7ReA+7EtQ8RMHwAwB6f+GlevXl3nzp2TJNWuXVu7du2SJCUlJen8+fPORwfA7ZDsAQDcVW5ubrFeFCYB98bDdAAwF6dGTnbu3FnLly9X8+bNdffdd+vRRx/VypUrtXz5cnXv3r2sYgTgRpjWDQCoaNLT0+Xr6+vqMACUEfJVADAXpx4VvfPOOxowYIAk6f/+7/80duxYJSYm6q677tKHH35YJgECcC+2J9E+XjyJBgC4r5ycHE2ePFm1a9eWv7+/fvvtN0nS888/T54LuDlGTgKAuTg1crJGjRr2r61Wq5599lmnAwLg3mxPor09SPYAAO7rpZde0kcffaSpU6c67NjdrFkzTZ8+XcOHD3dhdACcQXESAMylxH+NU1JSiv0qidWrV+v2229XRESELBaLFi5caD+XlZWlZ555Rs2bN1fVqlUVERGhwYMH69ixYw73OHPmjAYNGqSAgAAFBQVp+PDhSk1NdWizY8cO3XzzzfL19VVkZKSmTp1a0h8BgCLY15xk5CQAwI19/PHHmjVrlgYNGiQPj0tTP1u2bKm9e/e6MDIAzmKNdAAwlxL/NQ4KClL16tWLfNnalERaWppatmypd999N9+58+fPa9u2bXr++ee1bds2LViwQPv27VOfPn0c2g0aNEi7d+/W8uXLtWTJEq1evVojR460n09JSVGPHj1Ut25dbd26Va+99pomTpyoWbNmlfTHAKAQGVms4QMAcH9//PGHGjRokO94bm6usrKyXBARgLJiX4aI4iQAmEKJp3X/8MMP5RGHevfurd69exd4LjAwUMuXL3c49s4776hdu3aKj49XnTp1tGfPHi1btkybN29W27ZtJUlvv/22br31Vr3++uuKiIjQvHnzlJmZqdmzZ8vb21vXX3+94uLiNG3aNIciJoDSy8hhmgwAwP01bdpUa9asUd26dR2Of/nll2rdurWLogJQFjIoTgKAqZS4ONmlS5fyiKPEkpOTZbFYFBQUJEnasGGDgoKC7IVJSYqJiZHVatXGjRt1xx13aMOGDercubO8vb3tbXr27KlXX31VZ8+eLXS0Z0ZGhjIyMuzfl3TKOlBZGIbBk2gAQIUwfvx4DRkyRH/88Ydyc3PtM3c+/vhjLVmyxNXhAXACa04CgLmU6q/x4MGDde7cOfv327dvv6rTW9LT0/XMM89o4MCBCggIkCQlJCQoJCTEoZ2np6dq1KihhIQEe5vQ0FCHNrbvbW0KMmXKFAUGBtpfkZGRZdkdoMKwPYWWKE4CANxb3759tXjxYq1YsUJVq1bV+PHjtWfPHi1evFh/+ctfXB0eACdkUJwEAFMp1V/jefPm6cKFC/bvb775Zh05cqTMgipKVlaW+vfvL8Mw9P7771+V9xw3bpySk5Ptr6vVV8DdZOZcXpxkzUkAgHu7+eabtXz5cp04cULnz5/X2rVr1aNHD1eHBcBJl2b6kK8CgBmUqjhpGEaR35cXW2Hy999/1/Lly+2jJiUpLCxMJ06ccGifnZ2tM2fOKCwszN4mMTHRoY3te1ubgvj4+CggIMDhBSA/22Y4kuTlYXFhJAAAOOeBBx7QqlWrXB0GgHJgXyPdg5GTAGAGbvPX2FaY3L9/v1asWKGaNWs6nI+OjlZSUpK2bt1qP7Zy5Url5uaqffv29jarV692mIK+fPlyNWrUqMS7iwPILyM7R1LelG6LheIkAMB9nTx5Ur169VJkZKSeeuopxcXFuTokAGUkI+tizurlNv93GAAqtBJviGPzyy+/2NdpNAxDe/fuVWpqqkObFi1aFPt+qampOnDggP37Q4cOKS4uTjVq1FB4eLj+9re/adu2bVqyZIlycnLs712jRg15e3urSZMm6tWrl0aMGKGZM2cqKytLo0eP1oABAxQRESFJ+vvf/65JkyZp+PDheuaZZ7Rr1y699dZbevPNN0v7YwBwGTbDAQBUFN98843Onj2rL774Qp988ommTZumxo0ba9CgQfr73/+uevXquTpEAKWUychJADAVi1GKOdlWa96oqIIutR23WCzKyckp9j1XrVqlbt265Ts+ZMgQTZw4UVFRUQVe98MPP6hr166SpDNnzmj06NFavHixrFar7rrrLs2YMUP+/v729jt27NCoUaO0efNmBQcH65FHHtEzzzxT7DilvN26AwMDlZyczBRv4DJ7jqeo91trFOzvoy3Pxbg6HACosMhFrr6jR4/q008/1ezZs7V//35lZ2e7OqQi8TsCFK7jKyv1R9IFLRzVUa0ig1wdDgBUWMXNR0o1cvLQoUOlDqwwXbt2LXLtyuLUUGvUqKFPPvmkyDYtWrTQmjVrShwfgCvLYOQkAKACysrK0pYtW7Rx40YdPnxYoaGhrg4JgBMYOQkA5lKq4mTdunXLOg4AFQDr9wAAKpIffvhBn3zyib766ivl5ubqzjvv1JIlS3TLLbe4OjQATrAtReTNA3UAMIVSrzkJAH/GU2gAQEVRu3ZtnTlzRr169dKsWbN0++23y8fHx9VhASgDl2/iCABwPYqTAMpMRtbFad1eHi6OBAAA50ycOFF33323goKCXB0KgDJkGAabOAKAyVCcBFBmWHMSAFBRjBgxwtUhACgH2bmGci9uZ+DjyQN1ADADKggAykxmDlNkAAAAYF62UZMSa04CgFk49df40KFD2r9/f77j+/fv1+HDh525NQA3ZJ/WTaIHAAAAE6I4CQDm49Rf46FDh2r9+vX5jm/cuFFDhw515tYA3FAGOx8CAADAxNIvbobj5WGRh9Xi4mgAAJKTxcmff/5ZHTt2zHf8pptuUlxcnDO3BuCG0rPykj1f1u8BAECSNGXKFN14442qVq2aQkJC1K9fP+3bt++K133xxRdq3LixfH191bx5cy1duvQqRAtUfOkXZ/qQrwKAeThVnLRYLDp37ly+48nJycq5uPYcgMojnd26AQBw8OOPP2rUqFH66aeftHz5cmVlZalHjx5KS0sr9Jr169dr4MCBGj58uH7++Wf169dP/fr1065du65i5EDFZHuY7uPFTB8AMAun/iJ37txZU6ZMcShE5uTkaMqUKerUqZPTwQFwL7ZpMr4kewAASJKWLVumoUOH6vrrr1fLli01d+5cxcfHa+vWrYVe89Zbb6lXr1566qmn1KRJE02ePFk33HCD3nnnnasYOVAx2ZYhYqduADAPT2cufvXVV9W5c2c1atRIN998syRpzZo1SklJ0cqVK8skQADuwz6tm5GTAAAUKDk5WZJUo0aNQtts2LBBY8eOdTjWs2dPLVy4sNBrMjIylJGRYf8+JSXFuUCBCupSvsrDdAAwC6f+Ijdt2lQ7duxQ//79deLECZ07d06DBw/W3r171axZs7KKEYCbYA0fAAAKl5ubq8cee0wdO3YsMldOSEhQaGiow7HQ0FAlJCQUes2UKVMUGBhof0VGRpZZ3EBFYp/WTb4KAKbh1MhJSYqIiNDLL79cFrEAcHMZPIkGAKBQo0aN0q5du7R27doyv/e4ceMcRlumpKRQoAQKYH+YTr4KAKZR4uLkjh071KxZM1mtVu3YsaPIti1atCh1YADcz6U1J3kSDQDA5UaPHq0lS5Zo9erVuuaaa4psGxYWpsTERIdjiYmJCgsLK/QaHx8f+fj4lEmsQEWWQb4KAKZT4uJkq1atlJCQoJCQELVq1UoWi0WGYeRrZ7FY2LEbqGR4Eg0AgCPDMPTII4/o66+/1qpVqxQVFXXFa6KjoxUbG6vHHnvMfmz58uWKjo4ux0iByiHDnq9SnAQAsyhxcfLQoUOqVauW/WsAsGFDHAAAHI0aNUqffPKJvvnmG1WrVs2+bmRgYKD8/PwkSYMHD1bt2rU1ZcoUSdKjjz6qLl266I033tBtt92m+fPna8uWLZo1a5bL+gFUFLaZPj6ePEwHALMocXGybt269q9///13dejQQZ6ejrfJzs7W+vXrHdoCqPhYYBwAAEfvv/++JKlr164Ox+fMmaOhQ4dKkuLj42W1XiqUdOjQQZ988omee+45/fOf/1TDhg21cOFCNpwEygAP0wHAfJzaEKdbt246fvy4QkJCHI4nJyerW7duTOsGKhmmdQMA4Kig5Y/+bNWqVfmO3X333br77rvLISKgcssgXwUA03HqL7JhGLJYLPmOnz59WlWrVnXm1gDcEBviAAAAwMwuTesmXwUAsyjVyMk777xTUt6mN0OHDnXYGTAnJ0c7duxQhw4dyiZCAG6DBcYBAABgZraZPj6MnAQA0yhVcTIwMFBS3sjJatWq2RfzliRvb2/ddNNNGjFiRNlECMBtXFrDh2QPAAAA5mPPVxk5CQCmUari5Jw5cyRJ9erV05NPPskUbgCSSPYAAABgbhnZzPQBALNxakOcCRMmlFUcACqAdJI9AAAAmBgzfQDAfJwqTkrSl19+qc8//1zx8fHKzMx0OLdt2zZnbw/ATWTl5ConN29HUpI9AAAAmJF9zUlm+gCAaThVQZgxY4aGDRum0NBQ/fzzz2rXrp1q1qyp3377Tb179y6rGAG4AdtTaImRkwAAADCnjGxGTgKA2Tj1F/m9997TrFmz9Pbbb8vb21tPP/20li9frjFjxig5ObmsYgTgBmxPoSXJx5NkDwAAAOaTkcUyRABgNk5VEOLj49WhQwdJkp+fn86dOydJuu+++/Tpp586Hx0At3H5+j0Wi8XF0QAAAAD5pTNyEgBMx6m/yGFhYTpz5owkqU6dOvrpp58kSYcOHZJhGCW61+rVq3X77bcrIiJCFotFCxcudDhvGIbGjx+v8PBw+fn5KSYmRvv373doc+bMGQ0aNEgBAQEKCgrS8OHDlZqa6tBmx44duvnmm+Xr66vIyEhNnTq1hL0GUJBLU2R4Cg0AAABzsj1QZ81JADAPp4qTt9xyixYtWiRJGjZsmB5//HH95S9/0T333KM77rijRPdKS0tTy5Yt9e677xZ4furUqZoxY4ZmzpypjRs3qmrVqurZs6fS09PtbQYNGqTdu3dr+fLlWrJkiVavXq2RI0faz6ekpKhHjx6qW7eutm7dqtdee00TJ07UrFmzStF7AJezTev2JdEDAACASdlzVkZOAoBpOLVb96xZs5Sbm/fHfdSoUapZs6bWr1+vPn366MEHHyzRvXr37l3oJjqGYWj69Ol67rnn1LdvX0nSxx9/rNDQUC1cuFADBgzQnj17tGzZMm3evFlt27aVJL399tu69dZb9frrrysiIkLz5s1TZmamZs+eLW9vb11//fWKi4vTtGnTHIqYAEru8mndAAAAgBnZZvswchIAzMOpKoLVapWn56X65oABAzRjxgw98sgj8vb2djo4m0OHDikhIUExMTH2Y4GBgWrfvr02bNggSdqwYYOCgoLshUlJiomJkdVq1caNG+1tOnfu7BBbz549tW/fPp09e7bM4gUqo3QWFwcAAIDJkbMCgPk4NXJSks6ePasPP/xQe/bskSQ1bdpUw4YNU40aNZwOziYhIUGSFBoa6nA8NDTUfi4hIUEhISEO5z09PVWjRg2HNlFRUfnuYTtXvXr1At8/IyNDGRkZ9u9TUlKc6A1QMdnX7yHRAwAAgEldWnOS2T4AYBZO/UVevXq1oqKiNGPGDJ09e1Znz57VjBkzFBUVpdWrV5dVjC43ZcoUBQYG2l+RkZGuDgkwHfvOhyR6AAAAMCHDMJSRzchJADAbp6oIo0aNUv/+/XXo0CEtWLBACxYs0G+//aYBAwZo1KhRZRWjwsLCJEmJiYkOxxMTE+3nwsLCdOLECYfz2dnZOnPmjEObgu5x+XsUZNy4cUpOTra/jhw54lyHgAqIKTIAAAAwM1thUmKddAAwE6f+Ih84cEBPPPGEPDwuFSM8PDw0duxYHThwwOngbKKiohQWFqbY2Fj7sZSUFG3cuFHR0dGSpOjoaCUlJWnr1q32NitXrlRubq7at29vb7N69WplZWXZ2yxfvlyNGjUqdEq3JPn4+CggIMDhBcARG+IAAADAzGz5qsQDdQAwE6eqCDfccIN9rcnL7dmzRy1btizRvVJTUxUXF6e4uDhJeZvgxMXFKT4+XhaLRY899phefPFFLVq0SDt37tTgwYMVERGhfv36SZKaNGmiXr16acSIEdq0aZPWrVun0aNHa8CAAYqIiJAk/f3vf5e3t7eGDx+u3bt367PPPtNbb72lsWPHOvNjAKDLi5MkegAAADCf85l5+aqXh0VeHjxQBwCzKPGGODt27LB/PWbMGD366KM6cOCAbrrpJknSTz/9pHfffVevvPJKie67ZcsWdevWzf69rWA4ZMgQzZ07V08//bTS0tI0cuRIJSUlqVOnTlq2bJl8fX3t18ybN0+jR49W9+7dZbVaddddd2nGjBn284GBgfrf//6nUaNGqU2bNgoODtb48eM1cuTIkv4YAPyJff0eT4qTAAAAMJ8LFx+m+/EwHQBMxWIYhlGSC6xWqywWi650mcViUU5OTpFt3FVKSooCAwOVnJzMFG/gote/36d3fjigIdF1NalvM1eHAwAVGrkIroTfESC/XX8k669vr1VYgK9++md3V4cDABVecfOREo+cPHTokFOBAaiYbNNkqviU+M8KAAAAUO5s+aqfNyMnAcBMSlxFqFu3bnnEAcDNXcjKliRVYZoMAAAATOh8Zl6+yrRuADCXMhni9Msvvyg+Pl6ZmZkOx/v06VMWtwfgBtIyeBINAAAA87pgm+lDvgoApuJUcfK3337THXfcoZ07dzqsQ2mxWCSpwq45CSA/+7Rub6Z1AwAAwHzsG+JQnAQAU7E6c/Gjjz6qqKgonThxQlWqVNHu3bu1evVqtW3bVqtWrSqjEAG4A/u0bpI9AAAAmJB9zUmmdQOAqTg1xGnDhg1auXKlgoODZbVaZbVa1alTJ02ZMkVjxozRzz//XFZxAjA5FhgHAACAmTGtGwDMyamRkzk5OapWrZokKTg4WMeOHZOUt2nOvn37nI8OgNsg2QMAAICZXXqYzjJEAGAmTv1VbtasmbZv366oqCi1b99eU6dOlbe3t2bNmqX69euXVYwA3ABrTgIAAMDMbGtO8jAdAMzFqSrCc889p7S0NEnSCy+8oL/+9a+6+eabVbNmTX322WdlEiAA93A+kzUnAQAAYF4XLuarrDkJAObiVHGyZ8+e9q8bNGigvXv36syZM6pevbp9x24AlcN5pnUDAADAxFgjHQDMqcznX9aoUaOsbwnA5AzDsE+TIdkDAACAGZ1nWjcAmFKJi5N33nmn5s6dq4CAAN15551Ftl2wYEGpAwPgPtKzcmUYeV+z5iQAAADMKJ2ZPgBgSiWuIgQGBtqnbAcGBpZ5QADcj229SYk1fAAAAGBOtmndvuSrAGAqJS5Ozpkzp8CvAVRetkTPx9MqDyvrzQIAAMB8Lk3rZqYPAJiJ1dUBAHB/tuJkVR8SPQAAAJiTbbdupnUDgLmUuJLQunXrYu/EvW3bthIHBMD92KZ1M6UbAAAAZsVu3QBgTiUuTvbr18/+dXp6ut577z01bdpU0dHRkqSffvpJu3fv1j/+8Y8yCxKAuV1gcXEAAACYXDq7dQOAKZW4ODlhwgT71w888IDGjBmjyZMn52tz5MgR56MD4BbOU5wEAACAyaVmXJzW7cVSRABgJk6tOfnFF19o8ODB+Y7fe++9+uqrr5y5NQA3YltcnCkyAAAAMKPsnFylZ+VKkqr5UpwEADNxqjjp5+endevW5Tu+bt06+fr6OnNrAG7k/MWn0FXZ+RAAAAAmlJaRY/+aTRwBwFyc+qv82GOP6eGHH9a2bdvUrl07SdLGjRs1e/ZsPf/882USIADzs02R8ecpNAAAAEwo9eIGjt6eVnl7OjVGBwBQxpyqJDz77LOqX7++3nrrLf33v/+VJDVp0kRz5sxR//79yyRAAOZ3Lj0v2WOKDAAAAMwo1ZavMmoSAEzH6UdG/fv317p163TmzBmdOXNG69atU//+/bVr166yiA+AG7CPnPTxcnEkAACYz+rVq3X77bcrIiJCFotFCxcuLLL9qlWrZLFY8r0SEhKuTsBABZSakSWJKd0AYEZlOp793LlzmjVrltq1a6eWLVuW5a0BmFgqIycBAChUWlqaWrZsqXfffbdE1+3bt0/Hjx+3v0JCQsopQqDiS7245qQ/xUkAMJ0y+cu8evVq/fvf/9aCBQsUERGhO++8s8TJFwD3dWnkJMkeAAB/1rt3b/Xu3bvE14WEhCgoKKjsAwIqIdvDdNZIBwDzKfVf5oSEBM2dO1cffvihUlJS1L9/f2VkZGjhwoVq2rRpWcYIwOTOUZwEAKDMtWrVShkZGWrWrJkmTpyojh07Fto2IyNDGRkZ9u9TUlKuRoiA27BN6yZfBQDzKdW07ttvv12NGjXSjh07NH36dB07dkxvv/12WccGwE2cS7+Y7PEkGgAAp4WHh2vmzJn66quv9NVXXykyMlJdu3bVtm3bCr1mypQpCgwMtL8iIyOvYsSA+TGtGwDMq1R/mb/77juNGTNGDz/8sBo2bFjWMQFwM+x+CABA2WnUqJEaNWpk/75Dhw46ePCg3nzzTf3nP/8p8Jpx48Zp7Nix9u9TUlIoUAKXYVo3AJhXqUZOrl27VufOnVObNm3Uvn17vfPOOzp16lRZx5ZPTk6Onn/+eUVFRcnPz0/XXnutJk+eLMMw7G0Mw9D48eMVHh4uPz8/xcTEaP/+/Q73OXPmjAYNGqSAgAAFBQVp+PDhSk1NLff4gYrKtuZkNV926wYAoDy0a9dOBw4cKPS8j4+PAgICHF4ALmFaNwCYV6mKkzfddJM++OADHT9+XA8++KDmz5+viIgI5ebmavny5Tp37lxZxylJevXVV/X+++/rnXfe0Z49e/Tqq69q6tSpDlPKp06dqhkzZmjmzJnauHGjqlatqp49eyo9Pd3eZtCgQdq9e7eWL1+uJUuWaPXq1Ro5cmS5xAxUBjyJBgCgfMXFxSk8PNzVYQBui2ndAGBepSpO2lStWlX333+/1q5dq507d+qJJ57QK6+8opCQEPXp06esYrRbv369+vbtq9tuu0316tXT3/72N/Xo0UObNm2SlDdqcvr06XruuefUt29ftWjRQh9//LGOHTumhQsXSpL27NmjZcuW6d///rfat2+vTp066e2339b8+fN17NixMo8ZqOhycw2lZrIhDgAAhUlNTVVcXJzi4uIkSYcOHVJcXJzi4+Ml5U3JHjx4sL399OnT9c033+jAgQPatWuXHnvsMa1cuVKjRo1yRfhAhZDKBo4AYFpOFScv16hRI02dOlVHjx7Vp59+Wla3ddChQwfFxsbq119/lSRt375da9euVe/evSXlJXoJCQmKiYmxXxMYGKj27dtrw4YNkqQNGzYoKChIbdu2tbeJiYmR1WrVxo0byyVuoCI7n5Uj28oK1Rg5CQBAPlu2bFHr1q3VunVrSdLYsWPVunVrjR8/XpJ0/Phxe6FSkjIzM/XEE0+oefPm6tKli7Zv364VK1aoe/fuLokfqAhS05nWDQBmVeZ/mT08PNSvXz/169evrG+tZ599VikpKWrcuLE8PDyUk5Ojl156SYMGDZIkJSQkSJJCQ0MdrgsNDbWfS0hIUEhIiMN5T09P1ahRw97mzzIyMpSRkWH/PiUlpcz6BLg725RuT6tFPp5l9rwDAIAKo2vXrg5rpP/Z3LlzHb5/+umn9fTTT5dzVEDlknwhrzgZWIU10gHAbNyqkvD5559r3rx5+uSTT7Rt2zZ99NFHev311/XRRx+V6/tOmTJFgYGB9hc7HwKXnLM9hfb1lMVicXE0AAAAQH5JtuKkH8VJADAbtypOPvXUU3r22Wc1YMAANW/eXPfdd58ef/xxTZkyRZIUFhYmSUpMTHS4LjEx0X4uLCxMJ06ccDifnZ2tM2fO2Nv82bhx45ScnGx/HTlypKy7Brits+fzEr3qVbxdHAkAAABQsOSLOWsQIycBwHTcqjh5/vx5Wa2OIXt4eCg3N1eSFBUVpbCwMMXGxtrPp6SkaOPGjYqOjpYkRUdHKykpSVu3brW3WblypXJzc9W+ffsC39fHx0cBAQEOLwB5ks5nSuIpNAAAAMzJMAz7yMkgPx6oA4DZuNVqwLfffrteeukl1alTR9dff71+/vlnTZs2Tffff78kyWKx6LHHHtOLL76ohg0bKioqSs8//7wiIiLsa2A2adJEvXr10ogRIzRz5kxlZWVp9OjRGjBggCIiIlzYO8A92RM9nkIDAADAhNIyc5STm7fuKw/UAcB83Ko4+fbbb+v555/XP/7xD504cUIRERF68MEH7TsdSnkLiKelpWnkyJFKSkpSp06dtGzZMvn6+trbzJs3T6NHj1b37t1ltVp11113acaMGa7oEuD2bCMnmdYNAAAAM7Llq96eVvl6udXkQQCoFNyqOFmtWjVNnz5d06dPL7SNxWLRCy+8oBdeeKHQNjVq1NAnn3xSDhEClU/SeRYXBwAAgHnZ8tUgPy82cAQAE+KxEQCnMK0bAAAAZpZMvgoApkZxEoBTmNYNAAAAM7MVJ5npAwDmRHESgFPs02R4Eg0AAAATurQMEQ/TAcCMKE4CcMpZ1pwEAACAiSVdyJvpQ74KAOZEcRKAU5IvTusOYlo3AAAATOh0al6+GuxPvgoAZkRxEkCpGYahMxeLkzUoTgIAAMCETp7LkCQF+/u4OBIAQEEoTgIotXMZ2UrPypUkBVejOAkAAADzOZWaV5ysVY3iJACYEcVJAKVmewrt7+OpKt6eLo4GAAAAyM+Ws1KcBABzojgJoNRsiV4IiR4AAABMyjZykmndAGBOFCcBlJp9/R6KkwAAADChrJxcnT2fJYmRkwBgVhQnAZQaU2QAAABgZraduj2sFgX5ebk4GgBAQShOAii1E0zrBgAAgIklpKRLkmr5+8hqtbg4GgBAQShOAii1E7Zkj+IkAAAATOiPsxckSddU93NxJACAwlCcBFBqR+3JXhUXRwIAAADkd/TseUlSbYqTAGBaFCcBlNqRi8leJMkeAAAATOiPpLyH6bWDyFcBwKwoTgIolczsXPsaPoycBAAAgBkx0wcAzI/iJIBSOZZ0QYYh+XpZFezv7epwAAAAgHyY1g0A5kdxEkCp2KZ01w7yk8XCzocAAAAwl+ycXB0+lZez1g+u6uJoAACFoTgJoFT2J6ZKkq6t5e/iSAAAAID8fj9zXpk5ufLz8mDNSQAwMYqTAErl18RzkqRGYdVcHAkAAACQ3/6L+WqDEH9Zrcz0AQCzojgJoFT2XUz2rgulOAkAAADz+fXiTJ+Gocz0AQAzozgJoMRycg39msDISQAAAJjX9iNJkqSm4QGuDQQAUCSKkwBK7NfEc0rLzFFVbw8WFwcAAIDpGIahny8WJ9vUre7aYAAARaI4CaDEthw+I0m6oW51eXrwZwQAAADmcuBEqs6kZcrb06qmEYycBAAzo6oAoMRW7z8lSbqxXg0XRwIAAADkt3LvCUlSdP2a8vH0cHE0AICiUJwEUCLnM7O1Zv9JSVL3JiEujgYAAABwZBiGFsYdk0S+CgDugOIkgBL5fPMRpWflqm7NKiwuDgAAANPZcPC09hxPkZ+Xh/q2rO3qcAAAV0BxEkCxZeXk6oM1hyRJD3SKksVicXFEAAAAwCWGYWj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