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@yongjun823
Created August 1, 2019 00:32
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"_uuid": "34a505ed349403d0244805cc027cf5b4a196bae4"
},
"source": [
"<h1><center> CNN with Keras </center><h1>"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
"_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['train_labels.csv', 'train', 'sample_submission.csv', 'test']\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using TensorFlow backend.\n"
]
}
],
"source": [
"# This Python 3 environment comes with many helpful analytics libraries installed\n",
"# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n",
"# For example, here's several helpful packages to load in \n",
"\n",
"import numpy as np # linear algebra\n",
"import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
"\n",
"# Input data files are available in the \"../input/\" directory.\n",
"# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n",
"\n",
"import os\n",
"import matplotlib.pyplot as plt\n",
"print(os.listdir(\"../input\"))\n",
"\n",
"# Any results you write to the current directory are saved as output.\n",
"\n",
"from time import time\n",
"\n",
"from sklearn.model_selection import train_test_split\n",
"\n",
"from keras.preprocessing.image import ImageDataGenerator\n",
"from keras.applications.vgg16 import VGG16\n",
"\n",
"from keras.callbacks import TensorBoard\n",
"\n",
"# import the necessary packages\n",
"from keras.models import Sequential\n",
"from keras.layers.normalization import BatchNormalization\n",
"from keras.layers.convolutional import Conv2D\n",
"from keras.layers.convolutional import MaxPooling2D\n",
"from keras.layers.core import Activation\n",
"from keras.layers.core import Flatten\n",
"from keras.layers.core import Dropout\n",
"from keras.layers.core import Dense\n",
"from keras import backend as K"
]
},
{
"cell_type": "markdown",
"metadata": {
"_uuid": "510e75653d766d32142ae0cc3324863e8d8834da"
},
"source": [
"## Some Exploratory Data Analysis (EDA)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"_cell_guid": "79c7e3d0-c299-4dcb-8224-4455121ee9b0",
"_uuid": "d629ff2d2480ee46fbb7e2d37f6b5fab8052498a",
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" id label\n",
"0 f38a6374c348f90b587e046aac6079959adf3835.tif 0\n",
"1 c18f2d887b7ae4f6742ee445113fa1aef383ed77.tif 1\n",
"2 755db6279dae599ebb4d39a9123cce439965282d.tif 0\n",
"3 bc3f0c64fb968ff4a8bd33af6971ecae77c75e08.tif 0\n",
"4 068aba587a4950175d04c680d38943fd488d6a9d.tif 0\n"
]
}
],
"source": [
"df = pd.read_csv('../input/train_labels.csv')\n",
"df['label'] = df['label'].astype(str)\n",
"df['id'] = df['id'] + '.tif'\n",
"print(df.head())"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"_uuid": "3c226c44aa0a56dea6249542d9046b784fdedf47",
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of image : 220025\n",
"Images shape (96, 96, 3)\n"
]
}
],
"source": [
"print('Number of image : ', len(df))\n",
"img = plt.imread(\"../input/train/\"+df.iloc[0]['id'])\n",
"print('Images shape', img.shape)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"_uuid": "07490ccf374d58927d0c8a0e528387979d38aac4",
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n"
]
},
{
"data": {
"image/png": 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iqpMMM4dHeKzkWO7nvXf3WDrLFzGdWVJGQldEAp9l3yS1q+WneT/TMrhWpRW6Vjfe/CkAQPZCIYI9S7A0LlmLjU4cIrj37rsMeZYv4zO9c+d7ls4Vl12JkWEFej9KHIvviCNTUM6pxQ8LDcWKVefBN0bJKJ0VfPO2ChCyfAUr9xpqlQyy911JDTWzDtzHh++rM6eUvmnScXv6CFCFhUdZ2wY99CrSxFIHBNPq+LvU+hw7zjfqbbcThBof4LFOn9YSzZwcWmyTGhokKbLocL2e2Gi+pU8c5fdys3KtbWMDBHFCffi9vdtoNcpKtYXBmOCVmem0bIcOEPSMT95s6Zh124NDPMc9jz5qbUvL4jnOm89UY4+HwNtzrz1v6QSGStpIwCi/sGDZn3ou191wAwDgzYdZtZhhK8vNzKGH0NZBz2PeAtJIh4bUOyoQ6vOJY7xHCbGsSutq6bV0UsWy1lYTwMvJVUudlEz9V199GQCQnc117OiosnQWLiQQ+tO7fsXvJHLxBmwkoZEOejWtXfQKig5yPefP1+q8qno+g91SkRmdqbVnAUJHNkuoTW8nLU3Xo6WJXl12WiYAoLGB+xsY6rd0vJOSuoyn57blqm9b2/oGqPfui6SWL13MlKHXVmjX002P4zPX3QQAaG7m2i+YqXTxmvJyjIxoSvajxLH4jjgyBeWcWvyxiXG093TBr18tS0gY47zlK5YCAE4ck+IDP01RNdbyDZoYQ2s2PMS3Z0iIdh95dxfpnstXM/Zxj7Rb2/wDuS+vL+OfHkkDfelbn7d0mioFEzCE8tvKvzMzMy2dU6doxUeHqRMZRq9iYkyJFsOD3DZnxjwA7yfONElsnyGWoaaM1mvtijWWjuFL/dR0eg6V9fQS9h1Q6vC8hWzqYHZomW9r2DAg3k1tA1OPPgFMwy1YsMjSMWPpXrEi0TGMO0ODNR0Xk0QvxiRG7dilseT8BfTK8mbxnsUmMK2Ynq6xcb+blt0sQFqyZIkcQ9NPvX30nExLHxmlMX5yMlOGIaFMT/X0MNWWFKePbJd4idMKaH0HhpkO9BlTPKOmmdhEv4dWOVjozUO2exYkTU4mvMSXhjv0+ayp5XMwIf0M8tOZ3uxoV9LVxADXuEeIOOkZkkKsV4ufI17E2vNZ81/XoJRh9yA9pfhYXnNnK6/Vx9Z1qVUsvMsgZpE/j5Z+UFKYAAlhrgAnneeII458iJxTi+/xDKHo6CmkJinxJjWZp3D0EC3agnksqvjDAw9ZOiaJIjaab+b6Or7puzuUcNLRxzfzVdcRIS0uK7O2xUu8HhYjBR9CeX35qRctnaXLaJEqK2sBAEmJPNbJk4ojDPTx7ZojcXuntMDKF5ILAJw+KfH6JAO04mP6/eAgHt9sa5WayutqalCEuaaNmYt1MbS0w9K6KypGMyGBIfSSis8QRV65Qlt3NTXTso1Kf7/KcnoV85eoV1BVy8/y8zQbAAD5mdrdpqyYcXd8Mr2aO3/8PT1GK+m0MGjpwoXyWisl1bwmIa9IHz6TEr1smRJn/vDgbwEAc+exSMnXpV2TIuJ5vT/6MYtyqqtImooJUhwhJJRYQ27ecgDAZ77EEt6QaO3yUziDXuJXbmOHp+mLZwEArr7gM5bOoJvHjYmj53LvL+60tk3Pp2XtlIxORBSfnewcxQH6OniN4UJ9bm6nt5VXoMVo52+kpa9voAfyviK0EJK8Bj30SPOF2GS2fwOAxBh6UyEB9FhOvUPPWGlVQHpq2vt68H2UOBbfEUemoDg/fEccmYJyTl39keEx1FS0obJE22tffSW7pyTG0m3z9RKgmbQBNKXCpW6rp8ueIqmUFFtX2MkmAjItzXSzAgLVCeropmsak0oXyutDoGb+fK2JLi4mwSJeXNLubgFqUjTF9Otn7gcAuBfxWK4AumgBhnK7u7vp/pstwCehPHwTPOropTs/Zz5BuqS0BEsnqZfhxIQPr79TmkwuX7vc0hmVgvzVq9fz3G1pTR9f3tKEZHGDpR7fFajA2aIldDs7Gngfnn2BhJGEiHhLJ1s697jH6LK/u3entW3VGh7XEL64V8DSluNKmoqUbcFCHDosoZxh6H351rduk+OTdJQ/XUNA76SEKjUMS4KlHn9SPX3c9zuSrK759BcAAE8/yc5KVU3aiXfaXIZlqdN47393F79TdlrDko3rLweg3ZM+caF2qj186C0AwMQIDzwwyPublqXPXouEAZ5uAsrjQkJLyVSws6yKhJ3YBIaQbR0KPsfEMeSrqedzHuBbCwB4+cVXLZ3URAKwyVKReKaUz+vq1SstnZOHizA0aFugjxDH4jviyBSUc5vOG5tEa6MbAb562Bs+xZTa/b9k62qfSVqo+XO1Z17YUr7lDh3gW258nCBIe4eCYh1StVVeRXBtyXnLrG3jAqRMjo+JDi1CYrDSgs0hF+YAhfAwUm69NhbF8uWkZgb68RxjovjWH59Uq54sra5PHSfVE7Y5CCGRtLq+vgSBKgUMS09XoMisEEtI4L4vvvxy+Y5ayhTpR1j0HlNsC5YoYNYllqRE+umvvGSTuQiW/ObeXwMACvMJqoW5eD7zC5XU0ttJy+aWXnurNyqB6NBeWm+/QAJJoaH0eMbH9SAdbUx3JcXRUplDPKKilFj1wksEV2//Nmco+MRpqu+JB34HACg+Tkt5weZPcEObgmJ5OUyZVpTXAgDCE2QYi62ys62FXk1qIS1+fg4BzfwsBWRrq/gcFRYQ+Kuq1T4PTU18rlJmFAAAXn6UHsP5a9ZYOp29BG1DpZpu0ss1i4jVa/UN4PU3tnF/hbNmWdsqBMSLkr4ExafZSzIkWFPBzZIKHpZ+fD7yyDXW1lk66VnpFrnr48Sx+I44MgXlnFr8AN8ApESnob5eLXVGEmPJokO0kD4TpBwWzlAq4nNPkbY5fxHjmUYpwGmxD6KQDq2z5jIdGGwbSwXTw5Ced3Nn0cLVlSrWkC4Ei/ZWIXoEM36ftI2VSpXBD+Gy716hb1ZVaeowW+qu82cwtjSHbgDA8ATj/vRU7sesmQ+01dMLG9nquPPs0y/wEmwW3+MmMWTdeg5+6GjU65j0odVNTCRu0FDCtFyqjYgUKOOwYqXgJClH4sZTSk92+dOaZ+XSK9jzzn5r24o1TB+WV3DfvtLLIDpKMYLQAF5beAitb1AA01gnT+oxLr+S02l272VsXTBd6c3ZebSwn/raVwAAv72TBTjBfZqqC5cipWee5/CSxk7iO43tSuu99WuM/5+V1K2vQawgI1mxG88QzeeA0JvDQhWz2buftOolXnoIiVJkM2kb95WezfvpL2QpY5Ieaa9beyDExdOb6ZDuTd0yuQkApi+lx9Zwmms0fz6JUT/9rvYX3PYaB4wsmkdcato0pl7XrNLhH4av3tuPE8fiO+LIFBTnh++II1NQzqmrPzAwgH279yAuVtNXWdLaOTWBoJhZhRQYqAwkE0Qakxpxz4hU6fkpkBEhDSRN5tKoR4Gmz32erZrNiakPP8r2y9kzlak25mGIUddIbnmCtMc2Z+gBwNJVrJrqFMAoX+bkTU7qYEwztdMq7La5tiowc0bcrMXkuh/bRxf38FEFkxJldt6ZYoJaK8+jW/36a29aOvPnEtQ6sJuDE4dtKRxXKN3NRZL+axY+u+Gva3XLrbcAAOpL6RIPSRVZcUmRpRMRRCDSK9zvV17QNs6//e1jAIDVMh8vLp4ud2KstgcLlpbjE6Nc80E3wxyThw4AL734GgDgjp/fyWM8/7S17ZIbOKz00Ns8J1cg933tZ66xdC68hI0rvYG0X9HiToeNKri3bz/XdkSeh5BAhlApyVpdZ07bPXyCx1q6UsPMK69mK/bmFoJohbOk5iBBn+HBEd7rUycYrmaksM4izBZuuoK5nusvJVjb0WifN0uJipKGpnIPC2coABklg1JqKnnP+qQuwN8GlN/xvX9Dc9PZTbFzLL4jjkxBMezz2/+nJSky2XvTys8hLEzTNnU1BDRWrqIVTE7lWy8jW8kcI6O0VsdPEEQbHjdnt6ulvfhKppvCpYX1Q79/0tr26KMc55QnQFVpKdN5Dz75Q0tn8UoCKoPS7vvkMYJQIQHaLDPErLSTNWuorgUApGdoJ6AOAQfbpXpr48aN1rbREVqdhgaCk++8w9bPLc0KUs6ZyTRPqHQpKjrC88jP1bf/oHghFVUk7nziMj1GQgYtY/5ikoNqhZcfGKLWx1fGMRvSibmujLXqKVFqsSEtu3/xC4KLXX1aaZYolXO1zbz+zHSCeskJSmopyKE3lBBN3eefJQC3aKmmWSsbeG7TZ9PzOn/TOmtbexvBr8/eTHBvyEPPISVagdDsPAKpFfIMtUgqc2hUW0xv3kCvIEam1JoDU+zdfhJTxZu4kcSd/NnKsa+Ta8ybw2envYHntX/fYUunT0DmMAFpzxOwLj7O1neii15BWTkB0cwcbQFeU8N0XrBUkYYFSDXpkHqtk4O8H17xoJqbadlNzxIA5i1cgKvv+ByKq0s/NqfnWHxHHJmCck5j/MBAf+RkJ8MzoG/kgny+Xd98i/Hel269CYBWOgHA+DhPc7G8SavFiuVMV+KLR7quxAi5xd2vb8u4mEwAgMuPb+D0JFrDa274lKVTXUcyjY+kzZatZ13/sfe0H57bQ6uXm8m3dUcrY/1mW3+/xDhaP7P1dUuLptoypapvx5//AgAIk9bI2au0Sm5EqMK+Qm31Ewpz0QGNv8PDuTZeIXHERWtMG+yih7JvO72JRatpYf1D1eIfOkBr1dVM6vB580iWCvNVO2DIYA7PIA/i8lcLWXxK0pe+tD594Vz7rHS1xtPz6aFMjtI7ypIeinbvxiRLpcsQE19/TaPdeBNj66gIelMRYbyusXElrIx66fnMlOq+hm20gl//xr9YOmtWkV78jVtJDx7qJz7kGVLsJjGNazNTKvdGhrVL0Oe/yHSgvz91tr3LUZEzZ6rnEhPJ66ir5TN0YB9Tn/l56jlMCslr7lym4+zDP8207oCcm3uI5Kkol/4GZguhrbWcx/AIrhMSpPel5NRpDJ3l0EzH4jviyBSUcz5Qo6BwJjp7tHtJsHTRic2khZy+gG/E0yUnLJ3UDCL+Y758my1eQevh46N82AE34/7OM4x5vvONL1vb3nuLAxz72vmWN7viuDr1++8+ySKUoUmivstX07uYt0LpsHVlpFIOjvKN7BPEN31cnMbG5izFYYnP4hK0UGNwmG/0HMEvwnyD3nc+ANAwwvDsiSeIUcwqIJGlvlYtxPrzSdroH+T3yiu0KKUgWCipOfRqju05DgBYvFyvo0NGgA9JV5myahJfxkaVelwogxyXreP9ePHFl61ti5fxs7oafm/JQmY7mpsUqb7316y1n/Tynt382ev5nXrt1ttXRcs6Yxo9typbD4Vx8QonA/j9OOkyXHRaPYbZy9hj4Ae/INHlB/53ypdthVGy5g89wX4C993zCwBAsK9aysWSJYE0qP3aDbdb21KC6d0NS9T8u/t5X75827WWzmgvsYXcfGaCcnP477EjxZaOd4QPRl8rr3H3DiV2Bfoxc+IKoh2OSqCld+Xoz/PACT6f2dKLsa+B3meoS0ebxcelWsNmPk4ci++II1NQnB++I45MQTmnrn5oRChWblqBF5/RVNsZaS0dJbzrHqlVNwxNM/r70yU3CRGlMjwjxNYccmCArn54MPfz79+909p23nl0RQP86RoXF9Nlv+ZTWndtljstmEe3L9ycZNukwF20tP7a9967AIAVUgHocSug4nYTdDHnoQ0Pa7vjJiH39PeSpNQ3RDLLgC1V5pmk23fzzZw55+udlPXQU61tkYEcAfxw0Qqt1e8fETKODPtYJk1MEWib1Z7DUGlMmobGCCA5MaFr7pa5emvW8Pvbt79hbdv6Nv8/VohYsbJWf37sMUunsJAhR5/MeosMZzotZVmK7TwIyhkyc6/jgJJ7fvRTziz80x//k9dcR0A3OzvT0rngAqk8lLVpriTwV1au7co72xkaDLnp8m+5kgSgtnpNg+VkcT16aggOdtimF/vIuhnBDMvuvec+AMAtX1JXPyCGIG2ArKdHWrQFhWgquFZSuB2NTAcG+Oq26EiuX4Bw/UuksnPSq8Mx5swlSeEgAAAgAElEQVRnDUq8AMtJ7bzPaQma9q4qrYKv/9nZcsfiO+LIFJRzW48/OoSWxtNYuVobPy730sImSPVYa20tgPd3x/HIkIBOaa6Znsa3XkmJglrzJN3x8gvsWtLfr1Y0OJdvbXOO/L/+6zcBAFVNSpWNimP6KiScb+JKGYd04LCm8y75BMkgM2cS+Dol02+XLtfUTkUFq7nS03k9leUKWMVGEAScJbXYnY20RvUjSkRy+dH61VSRVBMhXs7q9Wssna07t8k5E9gJiFTPx18cjAQXvaRAqU0/teeQpVNWTIu4cgVTlv6+9DJa2jX1WCsTgZNiaKn//MTD1rbSE1yb11/jxNg333wdwPuHh+zavhsA8LnP3QQA+NEP7wUAuAfUqifLQI2vBvE6wiO1fn1CPI6/vv0gAOClR7byfLI0xbV4CVuGj/XSywqTJqThtgmya9eT2PXSX9idx6yovOCiSyyd+lISaA5LmnP9GiVEPf0iq/ryZ5PGGxLEte7rsFQQOMpzHRqkdxPoz2doeEwtdkc3vxAdTe+qpLbc2uY/SUCusJAp0NF03sT+Tq3gO3mM9yxBqMImierYSU3z3v+LX6PZlj7+KHEsviOOTEH5WMquYRhpAB4HkAhgEsBDXq/314ZhRAN4GkAmgFoAV3u93p4P2w8AzMyf5n3+gYfQ26PW2KROdklvuQxJV3hsY5DM8Ul1Eif5Scpi3GYpzX2ao57WrNEZ6WkpJIGY3V8+8Qmm9/Jma/143gzGpGFCW22VNtdjk9r7b3yEb3B/CbiHZWRUSpION9y+ldY4P580VFeAklLiY2RgQhNjyNNHme6xW6imRqaGzPsyKAVJ8SlaFBItwy7mLaeXU16r/eOiJbVoejypiUwthQXqeQjvBieK6PEES6eX/GkFqiP3pa2Glsbdr6Sr4SGe2yN/+isAYGKEjmNLs8bGJv5i9hHolQEbMJRYlSZp2lHpU2BvOd3bRyvqdjNe/upX2Tp78+WKZ0C8s5N76c1UV3MdLrtBC3ke+DHbaudmkEzjI23P7a3EE2Ts2T330CupqtV+EaESfzdJ3N/WzUf8Z/f9wtKZtkiwDilS8pe0HGyU21/KeeSl8LgF6YXWtsceehwAkC1EpsQU3t+sAiWoPfsycbEf/pzYx3tC0Dp8WKnDp0+V4JUj29Hp7vmHUHbHAdzu9XqnA1gK4FbDMGYA+A6A7V6vNw/AdvnbEUcc+X9A/ttFOoZhvAzgAflvjdfrbTEMIwnALq/XW/BR3y3IyvX+4Qf3It02xrhLOpL4SR87s4AkPl6tsdnSzjS+u3czflxqK/gw4/e8PCK03Z0aS95+OwkZ5rU+Juizb6RasaPHOB579jzGjaUy3sowFAYx0dcuQYp9vGbJqVI8Fy4kNlF6RvqmuZQoUi/jmLqaiFVMDPPC/Hy0a8q4jAczabllMlAyJVvf/pnSMTY1LxMA0GojRJktfGbOJY7QJ7Tc7W9qWW1mMj2gWKH6eoZpcesblQ47IWuVm837UF1Vb22bNZOeRmcrvZFf3cf+eP19up7jw/x+RoYMspSBnLZGQpiUcWWZZg/Bo2q9ktMY/7ulg6850PPOn99m6aQkc03ek96DF13AvnxdHXrvIaOyXnyOsXqB9NzLSs20VDpauUZeL9fu+3f+xNpWOJv3s18osmvWM5NwxobdPP8Oh10WSpn3I4+SvBQZr8g9ZLTafz74CK+rXSnDwT58RqIjaemrqpi1ysi1Ifb1xHxypRR8wQLiZEVFilO1tLThZ3+5D3WtDf/YIh3DMDIBzANwEECC1+ttAQD5N/7Dv+mII478M8lZ//ANwwgF8DyAb3i93v6P07d97xbDMI4YhnGkz33WX3PEEUf+B+Ws0nmGYfiDP/q/er3eF+TjNsMwkmyufvvf+q7X630IwEMAUJCZ54XXhSGPhheTEwTqmgVMM9N4hu2d5HbTNS4pIdA0PEy3b9++3ZZOtAB3lcJbt9fBP/7yswCAHnPyqcyV87VVAJrkILMdc5jUryclqYvd1U4XsqaqFgBw8XVXAACObNNhEyNC2Jm+hCDUy4/o7PpAIRBFyOy+mjamkYIC9TyiBVQbGaVrGR7Bv3u6dHkXxdLVHvVQZ/9unWT7+du/CgA4KtODI0OZpqyv1TlsV3xCXGJJbaVL48a+EQVUq+vp2j/48GMAgJXLdD6fIVNcDanmM//19VUPM1Rm/TVJByCzeWmADWRMlEESdTW1ADT0AIBmmSfocvH5SE8iEDh73kxLp0wGrZhVcJXldJGTYpMsnfBwnseXb/8WAODw1h3cr23GnI+ER4skZRr2y19a28plcMUnLr0MADApgzX27njH0pmZxTqIqtNM706Ttt87333F0pk+nyHoxkvYc+DEgePWtgnpDnRgN+9Zk3TRiU7UeYmx0Xy+s2XScno+Q5b+Tp3sm5MyDb994Y84G/lYi2+wUffDAM54vd77bJteAfBp+f9PA3j5v37XEUcc+eeUs7H45wG4AcApwzDM19QdAO4B8IxhGJ8FUA/gqg/5viV9fW689vp2TJ+u9eczZ5G2uWQxLaSPgD/V1VrF5RkiiBQeRmvhL2dtBybN+ekpKbTQjz36uLXNBAovuYxv7Xe28a0/tkdBsVx5g6bIqKIeSQ+aZBcA6JfxVtPyiWHWFBHAGx1WUKtZpsS65Xt5eYp3zpCBFY/+jj3/4qUFdnmpXmugkFrMDi0NB1nxNn+xDhiBjNDq7qMndO1VV1ubOsUbmZT+hJNegkq3fOFmS2ffYdaLL1/NKr99B0hSWrRshaUzaxmBy/Wr2FevrVUZKxHSRtvseTA6zusvnKVdglql7r63jxbyJz/+KffTpgSTI8dYoVZdQ0tpv59eGX5icmA2bxJ6bqDdUvPf0FB6TGNiOc/IQAoAMCb4QJWdpic4dw6JOKYHAgD5BdINZ4DnunGTtqx++ml6i74CRLY0MmU41K+TmgPGeU7xYSQ7GQY9p8cf/4ulc/csVhAm5BGcW+Svxx/o4nOVlpHJ65BOTW+8+pqlY6ak5wiRCH30LF966jlL55u3fRuugLNrr/2xP3yv17sHFhv6A7LuQz53xBFH/onlnPbciwuP81665FIUFip54YYbWexQW810Rb505CkvO2PpmIUZW7dxqIDZSTcnWymidXW0jEEuxuadNrojDP/36R86REuzbPUMSyVUOtTECyWyrIxWOD5eyTlmijA3lxaisoqptoxU7bk3OkLrZ46TmrTVhg+YxRsBtFDHj7Of3ohHC3mCxasxR3qZpCOzow8A+IrLk5XPdalrVcJJ7yCvOy2dcW5VFdOS6yXVReH33UJ19Q2Q4ifxFgDgxElazc0LWaSTNE0JRL/9CcdIzZjB9XvuaVodt63YqKONmITHQ2/ti7ews29AgNqaoCBavSrBH4qLddjG3Ln0jq699joAQGSG9K+LVNLWvrcZZ4cFETNJjOG98o5oBFskNNxBN2Phg/v3AgAuE++P58Tno7lNYmvbWptWO0TowFdcvkU+V4+yq4v3rKOX3x8CU5CHivdZOr4u2s5eIQDtfOdda1tLLb+XJAQv06PLt/Wd9JXf6dgon5Vjh5jGa6lXDyomKhY/efk3qO1odHruOeKIIx+Uc2rx0xPTvN+88ev42p3ftD4bqGMsGCTjnCsqaGnz89San5QyRbM32Vtv0fJnZWpPs0gZYNkmwxqDQ5QG29VJgk1DE48VKkj38uUak+bmcl/m0EEzc1BXp6QWX+njPykjnCOlo6+/n7JSTApyfy+t36Ct531MBFFrs3R3YoJv9r4+JXO4BTX2k+5CSxYRMT55TFHg82QQZoeg4YMTegz/YJ5jm3R+nb9ovpyzpYLeHupHS3egV5+j5bz99n+3dKKl5DZceuZt3qxDMxMTaVn7xHp1tLHEtaNTu+MMDdLSB0tp6hVXXPoBnYgIehrmOvYJWQcANlxJ/fFurs2AZDDGgzTzYFrxvg5+zxyEue+9vZZOmHQrPnaExSw10q8xKUlpJ5++6Qaem6yZ+QwCQE4OnwuTGGbIuO5j72km5fAR4gfRSfQULriMaxWSoVkKc1r60YPMEnzuRu0QFR7IZ9Xs6Lx4HuP4TetWWTptrbUAgPhY6qYJbtXaqOXFnW3t+NrDd6G8uc6x+I444sgHxfnhO+LIFJRzWo8fn5yAr/3wm2gq1iaEk+LuVgtwFhNFEOfIIa2DDzGHQUiHmEsvYetlu4scL2SQjHSGCCO2xpG19STY9Ej6a7p0h8nLVZDRnCv/+hus579g8wY5plZYtbVTJyuHFYBNMgbJPpM8MiLqfdfhndRt48Lt7+jmtbqkq0tUvDZMTA4ncFh2hsDho38miJSfo2nBu77D1NAXvsLWz+Fh2jR00Ev3N2e66MvorI5WJQAlJHONqo4TUL3zDu4vJ0XHSkVF0tX3CAFnwFZRaUgYUHSQIGlKCkMGs5YBAJIkPZqaxrDABOtOnlJu+bh0mJFek/AZ1nsGaRj0wD33AwBuuPFGAEBnq55HqFQADnm65d9RWQ8F5yolVZoqAGyITMKtq9OKxnEv73FHB1OWo7aBHPnz2Xuhxnxm5RQHPXoe8SkM9S67ms9MdQP3HR+gz06opG7vlr4EWUkaymKUP8OxQYYxbQ18Pnq79BhJEpb1dJKE1iy91ePjdc2bmhoweZahu2PxHXFkCso5tfgwvIAxhuERtdQTkrowwZOjR1gll2Kjyk6MUMekz3Z38w2fmqI6ZdKaOS6Jb1bD1nssK5fewIy5fMua4FRDvQ4YLDN7/4XTWgQHEmhx+yhwt2QJx3yZM9PNCqkWmzU1LYuP0Frt4B58aH3nLCB44zH78fnoWzqpgOvw18fYMWbJIqbTWmzDEOfM5nHfePMtADoIAgDyZtJjGJP5WBWVtD5RoepV1J5iqrSrnpZl7QKSpw7v03Rasj89lsExGVQSoVWGs6V3QW8ngdSTJ9j6Oz1D78fwMK3vjh27eB3LeR32bkU732PFYM40AmjFJUo/ffc1kleuv5lDT4JloEaCr41CLRZ60M1rdQXwHO0j2kzK7lEZTJohPQCmFWoq12wrniOAckycWtGKkwSWTSDyhAzGNLvtAMBln+GAzxMH6aUGCqEoNF5HaEFudWYyLfehd3Wts1N4/X393GeP1P7vfm+XpXPlFqZj3eIVjEjauKK8VveTkQ1/f6e9tiOOOPIhck4t/mBfPw69vdWKVwBgVFJjjUJEiI/htkltV4baGsY14/LZyVMkl9jJIOetJt30YBHpqBfZurBEJTJgjM1i3fdQJy30A7/4q6WzbCmt+bY3aRkCpYvKLBsN1STDZGXxDd3do+knU4JCeKzmRp6zSbYBtBuN2X+tSjrGbLzoAkvna9dwSKRJvRwUmnBDrdbDR8g4ZdPLueFfPmNtaxQyTIJ06QlLpRVst6V9fIcltyeDGK+5kKmz9GAtbtn3Hrva+IbQsgzbxkrt3EFPI0YIJznZxAaqqjRujoii1U1Oogdkej6nSzUtaRYrNTaSgGTvwBMazvOOldi4QzCYN1/SVF2JdEvulvr7g3sOAAAuuuBCS2fQQytq9rNLEo9wz14l0ISE8Z7NlsGYaZlKnNmzh2m7DRsYv+cOf3BEVXERvYDufl7j2sX0aibd6tkOD3LNc9LocdREVlrbWhr5XM0QXGRASFg+Nk9wXB7+eOmo5BZ8y6zdB4C05Onwej82k8d9n5WWI4448v+VOD98RxyZgnJOXf2AgECkp+SgqkprwyOERZcQR8BtclyYcwPqUs2ZxVTQgQN05VKSqTs2obzt3Xt3AQDyCuiGt1VpVd32XWSmLV9FgCkzS9Jx7eo+Z+aRg73Rh3X8qeJiHra11z5PBmjsP8hwIj0rE8D7gaKSUgJnsdK008/Wa6pJZpovEqArexqBvEcee8TSWSbceLPJpMnuW7lGWVwDw0zzxJjgkS2Dk5pitrHieS+Yw9rwxirl87smeNsTZRDGSB/DrYs2a1Xa+tUrAQCh2dSNjVGmm9kQ1HRf/fyoU1NXa+lcfPFFAIDX32C1tkum+I6P6z2bOZP39fBRhhXTZmjKMimN7va7Ag6uvpjhUFKsusjtUQxfkgWsNafUjtrc8S99mSnPp59gWBcSzhDKrCgEtDFql4Ru/kFaOTdjJoHTw8fI/PNI6BAZo2BpZAzd734371XFGT7fedM0XfzedoKVmzayCewFazZZ2xollA0M5Lm1tkndSaj+PIfHeNxJudcjMml4+jTtT3DixGl4bHUfHyWOxXfEkSko59Tij46OoaG+FXNma235QXlLB8j00kDhqAf4KynlVDHBk8goegetMpc+MlrTNmaTS5OjbifVXHwphycEhJhve76Z77rvR5aOn1Qex8bRCp06ynTLtBkK7g1I3f2lV7L1QNFxWgFXqKa6TKAoRMApz8CAtW3BYqbhaqW7TaLU3qdnKnHGXcM3dkLy+0GtkQm1Yp39/Oy2H7GrTHu9WvMIWZNcqWPY+irrGtYu1Vr7+opaAEBfL0EkPy8fgwCXpoJcQfRUWrpofaLiddhF3xC/l5VJCx0Yyms+clyHOwx6aD2XLmXz0uLTBPWWLltk6ZhdVH3F/iQlaJXjT7/P+v3OLoKKb77MHgo/+M6dls4M6evQ3k7L/+YbLwEAhka1krBPBnjMlhFUhw7Ru4hN0FRbjJBg+qp5zt3dCmQGBnFNMgTQLSkloJicrgBgXBZTqF1t/H6QP5/TE4eUrLR6NSvYi4+RCLTzHe0eFWDItFzxilLSeP7t3do0NDtHUtnSnNYQJpGfr9ruprpKq3rv48Sx+I44MgXlnFp8Xx8/hIdHw9821z5fUhgdrdKyWuqehzxKfPGRt5tngHFOrrSVHp9QimdREa3Ncknr9bv1+77S4rpd3pYJMgDD16Xx5ogQTgIkjZYtWIHZUQcAWqTGPG86Y3p/qabq6tFuLC6pRjMtXlOLDt00rbG/DEcMiRAPpt1W1eZmEJecResXOML99NrSaZdu4UAQSM2+b6B6NyZRJU4ow4H+4uWMKn20p5/4wcIF9G66pT13c5um/IJCSG2ND2bVo23GI/JmcG38DVrDk++RdBUWqZ5PZQ1TjSOj9FQ+9xlWwPlAz6NdCDhmlR98dLDn6ADxg81riRWUlzFV+OUvftHSueIK1tRffBXTkU8+xdr5oiLFZeIT6KkkJvHf1ZtpeY8fUB2zw5PZEWnUhkOcKpGee59i34imDt6ruGRNfVYfIL268gzxhwrp5TAypjjCS89z0OiZU9Tt7FBPsL+H/x8ho9DMAZkXXqSYi4kLtTexWtRnnOvTaxtiMu7pwLOlZ9eBx7H4jjgyBeWcWnwfHx+4AoPw1ltv6WcSW3uE4DFLYuoQW0+0oCC+xZqaGG+2dtAKx8RpnGb2tuvpJuJtxp0AEJMgAzx8aGE8A/QUggL1zR4gsVxPO61PbBTf/pVlSkpJlEEUHV208FnSF6+nW/vRxQhSPimWLsNGYzWt7pCZjZCmcUmpOjraR6xmi9StGwHUuUo60QDAmIzC7umlB9LUojF+egbPsVdq1CMjmV0YH9OC/N5+buvopbXwjDMurO3QLMfy6aTxRkXwPpgDQgGgQMZb90it/Kq1zDiYve8AoKG+lrrTab3Gxrkep4p1P+awjXmzmHnw9quXZuIOe3cyJs/JJvJ+3XU6ntqsrf/ZT34MAPjCF9lX8PwNayyd8nLWyqcmc43Li4k1mCQoQItzomVAaICtA294GPWqpUjH34Y9mRIXxXveLCPV4xI+mG1pbaO3WVnNexUbo/f8vNXsudA/wPXcvY9dg3768x9bOoeLSCSqLiPelSw9DOYUaEZpxNMJ76R6VB8ljsV3xJEpKM4P3xFHpqCcU1d/bHgErWXVaC7TdlYmt7itlW7nYAdBtqQkBU8uuIQAz2LhYHva6Gq7B7VeeVAm18bE012bhAJ/VdJuua+PbvzMmSQ91FRqQ06v9KaaHKOrlCjDDGwzIpCfK1z/AbrKbe0MOcyZ5QDQJy2aB6U2vLxa56DnSh1/mIsucUs53d45WZrGMqIYonR3UScnl+Dn8Lim84bH6UPW1jMciIrUkGdA2lGlptOV9I7yuqokhQcA6y8ieWTPbvLVZ0uL85QEJekESSVhfSOvY/YKnT7cIcBdfCrBqAapD5i3SGcirj2fKduGegKGzW1c65gEdXG7ZaJvZhZd/n4bgDk4TsBrYpKP6Ah4Hl0tWhXnHeVaRYXz+7/69WM89kYd/lEwPRMAUCq1DkHBDBvHbbPr0ySd6u5nyBNrW8/RUQJ2EQLEJqURJOzpsaVQhT/fJYNfmgVwmz9HKxGz40jWOuPLez49RysAW1sYzrgH+P0Hf8fZfYGJGnKckMnK69fzNzAqwK47RAHV6kl/jHxoQ+z3i2PxHXFkCso5bbaZGBHv/fSKq7Fypb6RWyWN5xnk27Zdutx02lJk06bzbTngIfixQbrjzJO6dgA4cYqEm127dwEA/AKUKjtjFi28Ob98gdTV7xMyBwDES1eZ6AjqBEjK0bClDMuk5ffQMM8jNZVv+kPHlLjilpRjShpBvVWrlGpbWkqgKVxAMAO0xvbhDgjlu3hUehCEhtHCDAyopfOVWn9z0nCaDRw006IJ0ozx6AGm94YG1cJdKISmSqlydEklYoAtLWiSYjKmkxhVUamg3PzFBOP6Oghm1VfXAgBmzZ5r6dSKV9fVTivuEQq22cMA0IamZpXhsmXn6TpIWveOr3P6unfSR/anqc/oWFpNQ9yymXN4n1es1f0MSaouMipUvk8gLzxUyV+m8d+xjQCar62mff16pv9OnuY9DovivVq1Xp9hs33768+SnvzudqYKg/10BNaqFWsAAKVC6T5ydI+1rb2L3sO69XxWbruLHZFefUSrR939XD+z4WxUDJ/TNVu0srO7vAHnX38RjpecdJptOuKIIx+Uc2rxI12R3tUZK5Aug/8ArdM2KbbTpjGmdQXpW7dHCCYXXMzYtLXtv6RNAGTlcJ8vvETaZqctxeaVeHX9xg3vO+bKtWssHZfEcHXFjFdfe+VNAMD4iKZHwsMYT+XLfPrpM+iJRKcpHmF22ZmU7jqVYg0B7QZjejVBQhYyOwoBQEImLXySDIkMDOIxJ23pOLO7zb59HNiw6jyl45acZCz49BMcchEmA0YS4zStOFMGYXilb1tCIq1Ha5um85JT6AH5yCDLlhYd3OBryLnI96flMdW2b7dasRmSZuru5LUlxxPH6OrQa3W7aY3NoZXHjh2ztqWkUX/5cqYVQ6V23+un9+PJJ54GAHzqSzfhw2S0lcf4zQO/BgBcKINFsjO15923v/Vvcj30pDwe9Y7MYS6z5zIt2SgEmhzb7Pp5i/kcxAh1Vxw5VO5XLOvl51mkYxZdLVu+2NoWFhUk+yRG0ifjubZvfdvSMdt8d8rw1MuuYVqzR1LcABCVmYmF5y/CkeNHHIvviCOOfFDOKaqfm5eLl1967X3Ehn172an1jddeBwCcPE2LFRKq1MMFQi3du5eFDWmZtIaRkUoYcbsZS65azfjOJEMAQJDEi8kSC8cLilx/WuPWiTp6Ec88xTgtIoTexJCN6lpVwVjMHC91z89+CADYv0Mt3fAILUymdKVptfXKy59JK+jpJ5UzW8Y7V1fpW9vHx9ajD4BXLMTYiBZfVJQRK1i/YT0AoK1Gv79nF89l3gyuWX8P42hjXDGP93awvHnhIurs20vCyFVX61ip3j5aljgpJGqo01LqBdIHcNu27QCA+cuYSQl0KcJsjhArKKA3cPwwiTN11UphNsDYuKmJ3oS/bSCmOYKrs4vbyqrY169rQrseferL1wMABmV8+a7tfD76e5UOu14Gg97yWQ6wCJQx3SeOn7J0SstIBAoJplcRFaVdeptlCMvKlVKmnBMi31dcp7qB+NIN17MTUlAYvaTdB3ToxtadLA1vl3N95sXnrW1XXcOS8G/OYfelMLMgarv+PAeH+VyECjFtRMhXUck64u2+7/8b2pp1fT9KHIvviCNTUJwfviOOTEE5t7PzErK83/zUD3D48GHrM7Nh5pWXM8UUI7PB9tmaIY5LLfq6dWsAAEHBdBFTUtXNCYugO98oXW6SUrShZ1ML3bXYWLqkvdKosLFKXf1UGSZx5BDd+JZmhg5nTmvHl4QEgngmRz4rh8e4/IqLLJ1R4eiPynz62DgF/vqFi/6Tn3KoQpfUFXzmM5+zdJZsIOhkpm26pdVyWIiGNf29PDezziEtSYGmP/72IQBARqqkQHt5HhOjep+HhhhqNLUyRDC70gQEWSr44nduAwAc3sM6+IJ87UuwfQdd6g0bCLYeOcT7GR2j6avZEtYclum0wdL6+vA+bbY5OcH72N/HcCQuSUktfoFEyDZdTOJQoIvnH2ibR+cj1XyHdjF08ZHBFCeLTls6R/bz3Hq7SCC69957Zf+aQr39m5zlODJCUox9UMuMaawBWSsdiUwSVn1traVT38NnJCyc/PlPSc3A0w89a+nc8V2m6CIjmGaNCNdaAZfUotx221cBAAsXMi3p7tPKu7p6VvxNSOWgS+Y1mtWtALB54yac7m3E4PiwA+454ogjH5RzCu719PbiuZdeRrxt0EBwBM3Mg4/QUuVkM6Vx38P3WjpH39kv36elDQunpR0c1Ddzs1gvszqu+KSCN3EJ9AwmZASXSSZZIpNkAaCpgW/XQKnMKj/DN6yfn5rBw4eYbvIxCLhVVZKO+8wTT1g6N1x/NQDgs5//PACgw5a++o97fwMASIykF5CeSOv++gtvWDrTFn8agLaeNtOcZsoL0NbbFSU8flyIWsHCAqadKktYVRgXy7WqqNHUkrnvlSsJhNY3UbepVXUGZUhIhBwr3GahBmSQRqiLFndYgNRgm8VukzRTXQ33veVKpp+qyxSIPF3MbUmJTDV22TrfTJvN1FiHpK/qmzlgDNYAACAASURBVAnAzYrQ1OWwmynbxauY8jsmQyr+83G9H4vnsONPTBjTk3d8hxOBv3+nTgbOF5D1oPRX7O3RASkF0+nVJCUT8GtsoHWPs42u8vgQNG5ro2f5l99y7Nn1t95o6fz4p+z2lJhC4C4yQn8DHqF5L1vOKr0gF6150dEDls5AP0HBy668AgDQLJOSh4e05r9gWiGqjquX8FHiWHxHHJmCck4tflBwEOYsmIViGUsEAEOjTM8kSNfSM2eYzuut0TdXfj4t4/4DpJHu28u4cc35ayydZCmUMNN4c9fotmM7mVZpkqES3km+UUvdSkpJS2csl5vLY/UuZiyVnaP1zs89+wIA4Kh0eImXYZcuf40Xezp5PRMefr+qVOv5A4Ta6e7hOYZH8O/EOMUqmpt4jtlZPA9zrn11he6nu51exDrBRV7/k1q4tMRUWQ/u80wxU3950kkWALziRRzYx1g9MV3GjvlpaBgsfQTzZ5Ke212j5J4rL2YHoJ424imbr7ocAFB6aJ+lgxB6TpFSN444/rvvoFqxwABiAjPm0Et5+oWnrG1zV3BYZbubOEi2jO0KDVGqbYyM1ZL6Hezdw/uSmppp6UzKIz40RKVo6Uy010Y2uuPb3wYAfP9OEnmipRszAHzpS/TcHv3jHwEA+/dLj0hbXX5+IS31CumEvPPdrQCAkS5NzRaXkDq9fBmxgu4u7Xb03X/9Hq8tnvssO8x7Zqc3R2URn2otocdR28i1n1WoNOmubjfGJ5To9VHiWHxHHJmCctY/fMMwfA3DOGYYxmvyd5ZhGAcNw6gwDONpwzDOblqfI4448r8u/x1X/+sAzgAwczY/A/Arr9f7lGEYfwDwWQC//6gdxMRE4fobrsK9P6+yPuvtpdva1sWUzpVb2Dgx0sbDf+KRhwFoO+Wtb5HDnJWlbakD/AgGNTaQudTeqq2Jj58g6JOcROCwQ1o2j49oONHTQ6bZstWbAQBpGXQ/v/Pd71s6Zu+AWfPpXh06QFc5LETdPrMhZ5vMc4Oh79aIKKm0a6ZOS3uTHCvT0pmYZIjgIxV75gw+r62j0rp1BJxKdjFVFRpkT6OxYrHGxdDgxDGmz+LjFJyraaDbvng5wc09Bxg6RUsvAwAwounq//b2H8l1KQNxsUy8Xb2BFWpHdtC1zcjWtOKAtBUfllbmJ9+li3z3Q7+2dO74KivvHn/uP3kdEZqy9AmS6sgAArJZcl0jtiase97l+gcH0P2/+moCqwsKlQd/x7fuAADkCTe/Xa7D1pUaCQI2bzyfw1RCw7RtGwz+RN7ZxvRyYiLB0glb1eaZYj7PZiuxuFjur7RMAeY5C3n+r7/OFN9At1Zbps1kmHnBQt7XPhmmMjym13rPvXfzHK9mPX57N0PKsGT9nfzyNw/gqi9fjbORs7L4hmGkArgIwJ/kbwPA+QCeE5U/A7jsb3/bEUcc+WeTs7X49wP4NoAw+TsGQK/Xa9mhRgApf+uLdhkdHUZ9fTm+e8e/WJ899ywrrM5fTesxXarz7rvnLksnSmrkd+4gSDc9j4Db2JC+df19GGlMSBVbR49W5/lILXdsNMkTYSG0vHW1WoX1znbue9mltPhfu+XrAIADB7VizCQFjQhvepFUWJWXKWEkr5CeQpCkzJbavJI+6RJU+RJBwgjhZGdO06Vbe/4a2CVNRkl1NOn1DPRyP4ek1v6m626wtt179z0AgAKZ9R4bx2NU1ZZZOh6pHAwbpYU1qxc3X6REpJN76CU98gjvz6VXXGJt27ZjJwBgpdSP5+QzHdbaprXyWTm0YmkydKP4FAEr2IhEP/4Zm0l+4/ZvcH/rtGNNn4eg3kUXsN68rZkelLtd04GF+SQpxaYS0Czey/sQl6hc+/zpXIf6Sno5EaF8hENsdQUlJ0jkSkkhQHy4odba5p3gcxXgx/tZWUmPITg0zNJxicNXIo1EY1PoMbyv8aWMwIoKN+vpldhVLPX741J1aY4987FNg/7B9+l5rd9MryQkjF5efZWea0dPx/tGlH2UfKzFNwzjEwDavV5vkf3jv6H6NymAhmHcYhjGEcMwjvQP9P8tFUccceQcy9lY/PMAXGIYxoUAXGCMfz+ASMMw/MTqpwJo/ltf9nq9DwF4CABmFhR6Z80sQFeXWq+7f/dzAMDD994PAEgUC2UfPTUg1Va7djIF8/Wv3goAOHRQ30VxcYxPz1tHi/3qk09a2wale0mc9FIrKWVKZKBfPYauTh5jrJkeQ1MjU33vI2oMMfYaHeXb+5NC1snM0F5zJdIJyGxZ3VhabG1zj/H7qzeShLL5E4zpfO2N/QJpPg7vJFU2yJ+WZWxMz7VRzm3TRlroKy7/pLUtTXoVpqeSFGMYfB9P2qzP7LkcBNklPe8Sk+jJZGbnWDq3fvl2AMCSZexhMGKr7oPguB4P17WxhVY4MVk9l8cfZ/eYCy+gp9Dby5j0ySe1q8yVVxLP+c3jv8UHRJakuIhWNDmVnk+ubaRZ1QlJ/bYTq2lsIAGp/EytpfPVr3Fo5le+QDpspvQitKfKaitJ1nrnbVbQmcNQAaD0NElSJt16hqQ32zsUQ2qUGfVXfZLx98LlXN+jp/aqTgy9q9REHv/P//Eba9vyhfR2V0jV45FjxAZCotWrCA+nF3PXPT8DAHzvHqYeuxqVbBQWEwQfv7PD6z9Wy+v1ftfr9aZ6vd5MANcA2OH1eq8DsBPAFlH7NICXz+qIjjjiyP+6/D0Enn8F8JRhGD8BcAzAwx/3hYEBN/bv3oWrP7nF+swjpJrLL6Fl6OmhFTILagBgcozWZsV5fDNWlNcCABIT1NKWCn119joSJIYGtX59UMZpVVeypvzEEcbtHR3aZXdshJZ+SGrlRwZp1e11/QlJ9BjKWrgfqZNAUop2p21vp847u4h09/VreOMbQDP2pa/eAgDwkXhv2EYR9Uh3HggRY0JGTrU2a/y8+BJSbb/xecbGM6bP1uuQoYk7dhKFNru6fPsn37N0hvqZ1SgSy7JSBjqePFZh6RQdY7y8bi6LZHx91GNwBdIStbdw/eqlH0CLbZzT6CBjzdQZmQCAmspaAEBPl1KYX3qR2PAauWdjE4q5DHno4UzPIeZTJkSorlLbMSZ4TuER9BLz83ksd79Sf/Om01P42S/ZubZPCFY15UqIgtzHLOnTMGQbPLllCymyx4u5VmZfws5eJeBkZ9LLSpFBp1GRjL+XLFHMIiJMqN8TtLXDbj1Gi3QivnAzPbiJSXp9Z6oVl5k9m/f4tHSMhnRaPnBYvYqLrrzMIl59nPy3fvher3cXgF3y/9UAFn+UviOOOPLPKQ5zzxFHpqCcU67+4MAgDuw9gNzsbOuzuXPpwoxJLXRWBrdlZmqlWH01XSF/f7pLAf5MlwwMKMEhJZXfO72DRJHFi5VvfVLSNXV1dElzc8lbjwhRV7+8nKFCcz11nv0rwcHvfO+7lo4rhD7h979PbndkOM9jbEjPo72DwFustH5OsTXiXL9JhlL40U0rObhHrkNd08LpJHq0C8ln4QK6i55edYObZf5al9SYx+fqQI8WqdUvmMG0YneP1CMYCs6Z/RCi4pPk+AQ2J6HtzsLDmb4aHmHI09ehLrav36hcBh+f9GSu/diYppLqR4j1luxgXUZUKN3fAB8FMi/YROAwTMhCB/fut7YlSFVh0XvC//fy/GfP1PToyAjDsrbudjl/hge5eUokapP0X5hUgS5Zz/Xc/uxWS6emnAScxCSGl55hvZ+HjtKVXrmaA0Le2Eby2KyZeoybtlzD485mmrm5lanDQ8d0Im+KTOJdtJC8/tmztDK0s4n3sa6HZK3LLmFD0On1CmQ+98aLAIAt17EuwithztrzV+q1NlRhbFSr9T5KHIvviCNTUM6pxffz8UNUWCzefu0d67ORQb6h1l/Cii+3NCOMjlLA7KXjfMu2yxgmsz20OSQBADZuZiqlQ1pv93RruuWTn2S6a9vWXQAAY4KXnZiqx1i0lHXb5tCM5198BgCQFK9kkNwCprv6pXW3CeoMuLUBZHYmwbSc2WJxG3TUklsGYNTW0bsYlBFgYaFa3dcmY7Gy02jZ2qXZ45IFiyyd11/bBkBpo362JpV+/2Waq9nAsqNem2WuWkuQ9I23uJ/UDHpA5RVKpc4V+m1aIj2XsWr1jq7ewtr6FqkkDA+X7ke1eq3zZtKTy8okuSYwhNcYFK62xlzrMGkgGeCn5z4kLdAXzaEHtFPAyr7epA9835wn39XL+2KfaNvVwXOcN58e4MtPkDz1yB//bOkEBfDcvJNczwcf0vRim1B8M3NZ7XjZF64CAPRWqUdaW1wLAPjD/b8CADz72qsAgAlbltZsoX7eEp7H7x//o7WteCsrFhvF2xwY5HNi9p8AgIcfIRs+MskknxGI9Q9Q+kxybhb8A86uZMax+I44MgXlnFp8X18/RIbGobxce90dPsQikuQkEk5mLGEs9crdSnAIDWGByUAQY8h26QCTnqWEkZ4eWt37f/MfAHT4JQDMm8N9Jst8+94exrR15SctnVGDnkdHG63G6KQMUIxTAs/O9+ipfPqmTwEAYgpo3Q9v22Hp5Eg9f0slrac5HgoAglx8G8+VfnR90iLZ31/j744OiS8l7ZMYS6+koU7r4ePN0VFepvwGbIzIiEim2kZGGYdnZmbyXG1dj7qFQHWhDM9skxSX12ahio7RCr6xlZRdO+ElI5PWr7+XsXlPJ72Bwwc1pg2L5LbTpYzxF15EfCMndqalM9xHPKKkpIT7s6Vgi2XYaHwMj+UK4qM66Nb7OiqQQkQE16O0grTgJUvUOzp2nCQf877ed/8D3OC1eUZS1x8URM/j34QeCwBXX0VPtKWJHlOAfK2tRdtYH9zPa3zpdbaIj5b+CsPKuUJ0LJ/v5mZa/vde2W5tW7WK6dlBD7cFSC+DqF71BIOCef1uGfwaIufqHlBPzN3YhsmxfxBl1xFHHPn/T86pxQd84AsXXIHaRSUkkGjv739H/s917lFL1xTPEJFlaZmHSTFNho+eftExFqzEy7BI+yAL9yAt/LgAnitX0voEp+tbv6SYVicygd5F9Zu02IGjGjOtlkGJs+dL6asMZYhNVKzgmHQXapWedVm2bjBLNpIoA6EgD9YwJp4YUyS2r1/GH0tpZk8XrfnkhC2WE89l02YO1DhapB2NBgVvOH8dz/Xa60mWamzW+H1CWtb4CBnl2FFSnzdvUeqvaWG+eRsR65gUvY5n/8SMR34myTWNLbyOZSuXWzqZOfSG0vNo6fqaGRMfL1EKs48fLVp2NottXGFqvVxBMuRSMh5ZBcwcxEVrJ6GHH38MAOArDtOAh7HxiRNaDluQz/jfHCl+882k8P7Hbx6ydFIl81Jymt9LtRGyWsRCh4YQ63nnTXp9K8/TrJHLxesYERPvGpXR712arUlKoXeaP4MeoTlwBQCGB+j5TSvMBAAcPMaY/+RpHeq6YYD3OjiMz2eAL5/L0pNKulq4YN77npOPEsfiO+LIFBTnh++II1NQzqmr7wp0IS93BsrL1T1pbGC6xdeXp3LkMF12+wCHPXvp8ljz4NPoNh2yzbdft44DIIqOkgQyODxkbTOn0x4vopuZmkK3McBQt+ii61grMNwpddNxdO0KZ2izzSap0x6TcahuD132+EQl0ASFEHRJTiYBZfmmdda2Z//AtsudMvTDX8C02TNnWTolZTzG6BiBrtAwgnVmS2wA6Jd6houkft6w9Vc0iUNLlhKMO3GMbvyEoQSg+dJ5Z1iIKoHSzrmpslR3ZEjIMcLQIbhPyT0Ll7ADUZmksWKlc8+hIr0f7jG6uSEJJM7EplAnOEK55IUCura30sWfMW+Ota1W5tllSnr08D72S9j2toY1a1YzZJu/iN/bt4eAWZ6EDgBQW80QwyWzEJcvYwh06rSmHl9+iaDckKzHnXfeaW07sJspzy2Xsi+AW4DlTGljDgCZhSQFNbTymsPi+XyO+yk4d+UWhlyZ2fys11bXcOIUn9moKK7xrNkMoTZec6WlU1/F2oLIGF5HSwt/N6tWrbZ0Ks+UYWzUAfccccSRD5FzC+4ZXhj+Q0hMUetlki2Cg2ghw/2ZChnt0VxIiKRe8lJpzaKFBBIeqWSOzFkk1/i+SWDGCNd6/k6hMSbmEBjavo+U1VVQgKXiXaYVw6JokTxuvpENP7WUvsG0jBExPP/6RlqTENvsKb8RnndYMC1/T7mO4Craz3TXNKHlVlTy+8UVuyydtEy+9SNCSdSIEgs+PU+9ApNyW1LMc46IUpBy5nxaSPcYvYqgSLoVw0O2enp/AmeuEd7+2FCuY0xglKUS6cfrqK6nB+SyYUYd0u/NK63p+obpgRQsVito0qIzpZvM848JIFigNf+DUkefmUxv4J03XrK25U2jx9cpY6TCpNfdps9qRaaf0HhrpQPS7PlMFfrb+r6mxxEIDU3nNZYdIYB3261XWTqXbKYH1CqEpMEOJTtdtJZeRfERgr/DHq7nq0/ssnQuvpbf/96v2MOgrpQebWiEkr9GR0md/tWP2UI8IUa9xMgQ6QoUSGsensTnsumMtn+HweeioY6eSq8QgoY92rsvKjYavn5n95N2LL4jjkxBOacWv7+/H9u2bkdaug6QGBJrvGEDY+Hnn2G8FRulxJnRcb7VlizlmzU0kqYmNinV0hmRNNiG8xnzPPiQ9sErlzr82HAe19+Hb9jsdB3HFODHQNmssV8h6ZqSCiXgRIv1bawnmcac4Z6VkmbpmLF98SlalqhIJc7MX0hiiX8ALW7BdCG5nFHMY/YsWs1J6RPoI2/66rpaSydDipwihaxT36z00W6xxpVCgJkjlNfePq3nd7fRWoRF09KeOklC1euvvW3pXHMtuwtNkx6I5VXl1rZBodMmJNBqzV/FdWyu0PNISmKce2oPvZLwUHpJkbZRXJGSmtr/Hgth1kt/PX7GAqZ5QlU+ViQeWYwWx9TKeK4sGRoan8FzPfqmkmNihfp96GV6Sdk5jP+bmmstnYI88fykX92xQ0etbb2dxJVOn6DFX7KEZJsQWyfeZ5/hrPtFSxnr/+UJ0r2/d/8vLJ2XpHdhp1DSwwK0u453iKSk9hY+T3fdzS4719+svRQvvJnxfpNgQNlZfBY9NosfEx0Jf3/H4jviiCMfIs4P3xFHpqCcU1d/YnIS/YMDaO3QZpvdZhWdL13tXpkKGhCg76SCaXTFAgRhCgjkv+PjCuAFBhPg8heX/Zotl1vbdm3fBQAYEfX4SIYIsTHqdh4/wXZcF17KFFlfP93hkUHlwYdKe+1mmeA6dxYr0KJiFaiZGKbbNncOw5LeXv3+yJgw5vx5jp09BK7yCnItHbe0/MqVllNpwvx7b5fOpTMHLvQPMGRISNSahQZpZTZ3Hpsjeb1euVYFQg0Q/Dq0m2BjXT155+O2IREnTwmYNUq3Pj1dQbXWVh4jVPjipvkw3VhA22Hny8y+WcuYAnzjKQXw0mZwW38312i4S6sc0xJ4TQPyWbo08kxJ1PDOd4RAW4WESrFhdH/DbIM5WjoIcq5ey3DkUNERAMDChQstnaJDTHl6BpmOM6D1AFu3spV4UqKkFYuoa/gqoBoex3VoamQ49b27OPxislPr+isE5F22lKGCr610LztDQWYAOCqM0F/+QutV0gWYnjGL6eX6ploAQGqqrkdR0WF4PFrv8FHiWHxHHJmCck4tflRkJC677AoUHdeJqYUCZtU3sha5T7jZYzb++qkSbluymG+7qn18e97/wO8snWP7aRHHzAaMtqaDmzeQ5zzUR+sXE07LjUkl+cycwXTZoJsWt1Hmu+dm6tvYX8ZhGeO02Du2EkQKCVILkystqqOjmcqJitIUWZ4MuegTcGy8nm/nWfOmWTpR4UQX8+cyDfbSfzL9ExGpYGdgINOHzbJmObl6jsGhZgWiTOSVTjoNttqFZiHMmN5Az/9p7zuj7CivbHd1zjlnqdVSdyu1cs4kCYHIJmdsY8/gYezBeOwBh3HAgWiMsYkmCxBICBRQzjl3lFod1OqozjnW+7FP1Sl7QOit914jv66zFkv0re/eW/e7deukffZu4VoPhxvoFe/vG8D38vLSdqAlnDF2HL14VxW/s9tvu8teM1HAOWs3sWC4bxu/87REZV8qP8TC6eXXEtxyNk8Lsl5SpIqS6cQgEcDobdT2qtHDNTOm0pt3d/CaKTujohvJySy81gqh6eSpjMSOHVGhlFgRNvHo47XT3KwY+4hQRoXlUtANj2CBeM+BA/aaBx+6VvaF71Eh3j02XiOxVDmP4ycIQPJxsB2dLGDhNFKKrVOmCEvPFGXpOSQEsZ4yHhgQxOd7RejrREdH2/v2VeZ6fNdcG4I2qB6/p6cXFWercP31CkX0EpmgLZspgGgJS/Z0KfSwTua99x1gS+e555+W11Os6sFDPDZjNlsqo+dMsI999AJFHHZuZksnPZWRQ8UZnccPCKJnGzOexyZJ67C7Q9+jtZn55qefrAEAhIeyVVcqLRYACPKlZ1q9chUA4JGnfmkfq5F8s1umC//lofsA6EQfAAxP53nv38YZ/9ThzC2TkjTH3rV9p5wrQS7HHM/vkTn8UPFUgQHCdeepoJY4qVVkzWS0VVHB87eiHADwE9HKYSPoofv7NO8NCeFrWlx9VTXM5+OitU17SvgI5k9fAAB4/Cc/BQC8+uYr9ppPP6aAZKjAnFublMq8RqKK7k5eB14CTOkfUF9lfdayQn6P48czarvkJqVv3/wRv4faRp7jpk2crrv2GpV67JP38Ojl9/Jf//lj+9gTv3la9oH7USvcBb2OHH3MQkqJtX3K6MbTh9GRl49GSTPn8LoMCWEbr+CEtomzs3jNlZUwqpgvoKHjRXn6WUVMNWsSo8NPP6aMRWVtqb0mOTkJlLX8anM9vmuuDUEbXJbd9jbs27sTDU3KXnLHXWSzCQuTCrvBYw2NKrwwdhwr1Ln5zKv8A+hpn35WudH27uexylp2DJJStNo5UxhO9u+jZzx8gvlSrCP/DpR568IiQiKvvJp5W7dD5OGNNyjnHOLHcw3woXdPiNX3apMBmhwZvHnjiaf0sz78LwCA08d4rmVlBM6MyVJvnl/Aim6CiDNY0twnchVUMnIUASutbdyjmx7Q3LpGhCKs6u6JE8yby0rVm1dXi1S0wTx+VCZrD7PnKnNNayvz3GZh7W1o0rzXkpiqb2IkZs28ezjyy1jhKvT2Yg7aIsIim4TnDwA8POgR33+fAJhbb1WJZ2toq0neNzCAnnLTemXitboLncK3sGk9efkefUw9tjRSkDWantLqxKxZs8ZeExPO3HpMBj+H4ZA2jxd5sa07+J15ynf+6I9UoATCHDT9KjIa1QpgrNYhlNLWLd0db+559oRR9rFuYWmOT+N3Xl5TJi+rXY4Q6UD1SpR15VKKZ1ZV6/d6/PghdHUpoOd85np811wbgub+8F1zbQjaoIb6A2Y/OruakJWpLZ306SxQ/fqJPwAA6mrYYsseqbPZh2TOO0oIC99dTvriw0d0fjwplRhsD6FKDk1R7b3OYoZSi5ZwHmDjOs52+3poqN8n4hD9/Qw/n/jdMwCAH/zHv9lrosL4mkEiDmHpofd0autxcg7n4A8d4jknpymOv0baVcH+PEdDwjJvDx19s7Dx+fl87dRUhvXBDmx4bAJbXKd2ssjX70iLamo50XVW9NisgpFF5QXorH9TUxoAYOZlLCaZ7fo6jY1sUfr6s+jZUantwG3buH8pKXz+6Gx+V4899pi95ne/IU79nMyvJyWw8Pf55xrqJyQyZfMWsJaXj4JiuiRGT5fZ+uUfMB3IP66Tcx5SyGpslPakFNx2bNhmr5k0jkXa/HzuvUUJZkALb3Pmsjh37ABTweBR2jo9cpyPeYkKbXwcgVDvvq1qzCHbWPi8UTQhS8pLAQAz5s+114RL6hOXLNOjpvrcczI7kS/X02ThSziRp/P8E4TuzTuC30v+AYKvskYrFRmMMfD31+ecz1yP75prQ9AG1eOnjxiOD1ctx4F92+3HXn+SnvWBb7JA9dxzFDrILVAwR4i0pizq6AZp+6Sm6Wx3YxsLIZ+s5XRffZsyrDz1PCm39+0n3PLSqyjd9PQvXrDXjBMBjBaZw++ViUDfZOUOsEAcsdEs+FgRAELVY5edFuDPcBZvzlSqh2pv53mPGs1iWpwU8IwB9T6tLYx4LE/X1SU03zHqhapE5GHKNBY9T5Wo8qsFGqk/x2JSj9AtxzhabRZlT54QX06ZyoJXQ4uywkRmiHjIGT5meVUAGBjg868WheODAi4Z4SCQfPVVtu1efflVAMDcWQTZ+PnqJVdbx0KufxBbjYcPK6jGgsQGhdNTlp3h2ggHkKnNUiLu5f43SFuxulyjkzGjR1knDQDo6uD+trRqsbKjU7DcnowYyiv0O4uK4rWXEM9r75QIaZyt0sKdt1wGwWE817u/x2u56Khew1Zb9ngRo9SR6QrTDorka2dKK7lN2KOs7xcAykpKAQD9Ek10d0rVckD3Mz4tHd6+rsd3zTXXvsQG1eO3tjRj04bPkF+o9MeW0OHocfRwv//DrwAAx4+qF/P3ZX7rKWurzxHckVegAIe8k8yPfAN4LzvpmKNvqKT3T0qip544nrP2H725yl5TfpaAk6Bgtp8sHrqGPJ0xv+vO2wEAf3r2zwCAqZP5Oq3N2kJpa6OH9hD8a7/iXgCTns3XhzWChnp6Gm8/hV0ePkGPMEKAM2elXTMyS3O5uLBweT691jEH1LVHAEeJIlASn8R/25p1WKhTZrgvv4K5fZ8Ic+TmqtBJ7VYCiG64jjPhxw4rSOh7D30PAHCykOcaL3P55aXqKa15/Dtvp9yWt7TnTuQesdfMnccoYNsODsIEhuiM+tQrCPyBBFMjM+m5V7+tNQJrcMdbPPX4MWTgiYnQ2s22zwmrThaa7xEC2R2RpR53w9rPAADZp0i7vwAAIABJREFUo+hxYx0DTVNncP0OGWhqFwpvX28FdpWV0/vv3suIcmE+I8roWIXs1oigx5wFrDOdPqkcDAV5vFbnzGRNIMCbLcOeTm0lv/suwU7nBBZ86SXcn4rTn9lrIqPC0d6stZzzmevxXXNtCNqgenwPT08EBYfi5ltvsR+LFPGCPQKQWL2aFdnOVr2jxkcxP02UavaSJVfwXxGUAIBX3yCDbcEpeqaQCIWoRqTwbl9fLblcMD3Es289aa95/8+E9Voeqa+HedYbb7xqr/nOt78LALh6GQU6332Lleb0dPXG1hjq8VzCSE0P/RwVtcw9E6WynHMpJY73fqZebFgaPZElAjJrDr1AhwOYYb32nMu5DxljtQMCH362T99aDQBIkuGQmIna5bAguiOz2EE4JuCgERnKTtsoOfARyd/9HIKWkDyypYF5f4BwDu7eqdX0AYl0UmXk9JprCZGtqlTAiWGwA5KeLhLnBY6IQ2DQecLIbMFzJ09TKS9DxCNSpFYyLJX76uXQAkuXIas33uL10TvADszEaQrpjo3n9ZUwhh2mwxv1c1hiquXljBqLTzISjYoKsdeED2ckGRPJPS6Qjkx6htY84pN57MBewsat4SEAmDWb10Gw1BPef4kMPmfLlHPPs5/X87AkXh8hfuyINDRoXWbGwssQGKzndT5zPb5rrg1Bc3/4rrk2BG1QQ31//yCMHTsNXn4OGdEAtstaBINsAS2mT55jL+mWYyeOS/tHlCgiHS2qQKHpzhYyxcVXaRpQeZTh4tlShk4P3EZQzqgMDbeuEF27+++5FwDw+9/9BgCQLAVBAHj37bcBAHdIcWvnDhZ8DE9t523bzTBxyhSGkkdPaItq7ES2zfyDhY67lelEm0P8I0A02nt7+G9lNc/ZN0gLgHNkGkyIdLBt82b72NxZLNhNmcEQNT+XBdDENP0cqcMFhLKcIJQREpImjFF67OGCw+84x3O7/lqdeDubx1C2u1NajVJMa6pXAFC6fA+nJOz9YylD5AcffMBec0LAMeMuJUHqsVzV1WuUabr5l7BQ1rGKoC2fAeU+sHgRjoiwSkQow9y6Gm3npQ4QAGWJb/h4cx9b2zR18vVnUTFXmHhMQ9urAcLrcMdddwMALr2Ead5nn6611/TLd7Nw0XwAQKTQr7/93pv2mrvuZZE0U/bFxwG08ZHpxKJDnMtfvYot6QUzF9hresBrZq6kBSdOcK8yRmmaWVdUh75uZzX5y831+K65NgTtgjy+YRhhAF4CMAZssNwLoBDAewDSAJQCuMk0zcYveQkAQEtzG9au24mqWm37jJf54suuoA75X1+kF+rt0VaGvz/vqAHeLH4cOcA781iZtAKAdmlXeUgNauUH2qq7++57AADvvM5iXlgwi4TTJs2w17z9FtslS5eQc29gQKKKCC2KhYqcVWMxz//m2zlN9rZEAgAQEMwtLT7DFs3IMQpPTkgWiKof77cmWGiKjFGQUKdw7vWKtK+ftPp6+3Q/3lnOQqRF1z12vMp87T1AJqJIAbrMu4peY937K+01lyyYDwBITeNU4aRJLJi1levUpPV8S1ijulILTSmpfJ41o2/JVEVGKrhmzkxORB4NYCFy107SZa9dq57yyhtY8OutJLx4kkNCq0FYgT79mAXUnl6eh8MZw1Om6K67gfwOZ+R78fBU9iUPKUr2S1C1cxejgwBrGhRAqLAlWcAk/1h9/u49vNYe/CYnK6cLZ9511+ok4dI7GQUUCKV6TAYj0UsWKGS34BiPhYTxux49XSchc/cwKrTawskyEWg4esFW5LleWo8LFjESOiBKxwCwd/8+NDqmKM9nF+rxnwGw1jTNTADjAeQDeBTARtM0MwBslL9dc821fwL7So9vGEYIgLkA7gYA0zR7APQYhrEMwHxZ9jqALQB+eL7XamhowvJ3V6LkjAJOhu8myGHWEnqm2Bje2U6dLLXXBPkwme1oYt63cD7Xmo5SwawZ1GY/cpxtwb4uZRstFk8QIe0WL4N3+7XrNTf2E6aap58hj99D36Mc0vN/fNpe4y8DK6bBbcvMZrRyx70qfFBXLzJMXQKk8NR23llhuMkI5es0NTEndoplhHkzKsgWLx4uYpmegdqiWnIlhSdC46TG4Rj48JTPOiKLgJcju8h1FxWlck5dnfQs9XVsBXnIe+zfvNVec7qY53SF5Nipw5QzoKKCrS2LQ6Gvl5/RyRK0R+TCvCWnnjqVPHLVlSrsUSEsPQOyR34BKkUWGsroauRItq8yRpPf4P03lKW3skxag8IP2Cyw7Uk5GjlYQp5+UlcZP5HRTUeXRlADjXyeJdRqGNq63CPiGukiklnXxIGv3z39R3uNVwSvNYtv8dBG7qOfj9ZlMkcwt9+2nZGP2aN1IUsQtV14Er1ElDXTITd2SMRkQyIYjXQPsO5l+mpUsGzZ1Xj+Ez2v89mFePzhAOoAvGoYxmHDMF4yDCMQQKxpmlUAIP/GfNGTDcP4pmEYBwzDONDd1/lFS1xzzbVBtgv54XsBmAjgBdM0JwBox/9GWG+a5l9M05xsmuZkXy//r36Ca6659v/cLqS4VwGgwjTNvfL3B+APv8YwjHjTNKsMw4gHUPulryDW1dWJ3Nw8wEvD8LNnpaAk3Jo33kgV06ZqxRx7SZRbJpNNZ2RSa/IknV6ySAbDpcAUaGq7ZPw04q0TU9n6uPUWklx2OWbUswQL3iyIuYxRDPu8/XUOfphMn0XHMLgxPfieDU0qJNHUzPpm6jAWwKId8/jhRWzXWPTY4VFsq9We1a2bfTnbNYWCm0/qYipk0TIBQE0N04kDBxn+WRN9ABAn2uwlBSwu5oxj2HtIEGMAkH+CLb54ef+Kwzyvvdu1UDRtKotYGzeTnPLmm2+2jxWXWPReTBkWzmc6EB6hQilnWpkOVAnizdK57+7V0DQ+ied65Bg/R/JwTRUOHeZjCyXVKMxnkfDGB66z1zz7U3I49IKfv1Fw9CvXaWE3KITtv0svIS1WmnyHXtHaFjy4mbwGy98hYu5aR+uyQhR06yzRD5kEdM7zt0iKkZjCNLW3m4VZo0/D+YFuhu+zpnBfGx1CK0W5bDdbuos3XMdipZPg1D+Y6W6w6EZu278FAOAXop8jNisW3n4OhOV57Cs9vmma1QDOGIZhkYQtApAHYBUAi+ztLgArv+Dprrnm2kVoFwrg+VcAbxmG4QPgNIB7wJvGcsMw7gNQDuDG8zwfABAQ4I9JOeNQXa/tvG6TXremhKALPynk5eTk2Gt2b+X8/p49LNQsFox6TZ16ytMiKeQVxLvs6AkOZpIIfkzfdnro1Z+zRbR7i3rB1197CQDQK/JJ77zPtmKAQ5jjRCG9cFA4izHjAhlVjJmmwgfl63ge1jSWpSwLAIcPsaWzdOkyvv8mEkfOn3W5vaapjt7jxGECNHotsk9vLe7FyeTbyByRgXJMcXW109vs2kovtv6T9QCAiVIcAwBDKKq3bGARarp4d3Spt2ippRc1Jdw616zgnOEjWagKDmRB9JW/kYT08kVX2GssYtOzZ/i9xoi+fXikqgefkKgmMZnRUXe3Mhn5yHVQdqYUAJCcRCDO7/7rZ/aa++5m5NYmrb8G0YzPmaR4/qLCvwcwrfzsIwDatgWAkhIWGf0D+H36BGpKuuxakq4uX8nZh4yRIrziAMrcdPttAICuJkaLvsICZRWDAWD3Dl5rnsIzcLKo2D5mteRmz2J7ee68WfI6+vO86WZGAYZQdrdJvax9QPfs1OlCdHdfmITWBf3wTdM8AmDyFxxadEHv4pprrl1UNqiQ3a6uLhQV5cFX0xLMWcCZ9ljJj1547q8AgEljFVxTXMy7Y2wsc9Jjx5jvjR3vAPB00bMGCZtLcanOO08dYN7c0kVwwz7RXm+sVPri7/2AMN6jh9kOTEyhV73lIW3VvfhLsgWtX0/hhOhYtgdDT6p2/MiRzIja2627v0YM1952JwCg+xw9VHeHSFj1aVSwcSWhqV7CB1Bbzby1uVPrEYnD6SFHCMdcW6fm+Oeq6fUWXkHvO9DJ3PLvON6qGSklxLH+0CTnE+irQKKy09KyG8nzONegHj9NJt5Ony4FADz8C9Z6t67Q9uiVSwnIOihSUxY9d3CI1l7a23ne3SKekjpBIcOJw3huq1YTvpqZzfbm7Dl6XRyW1u3E8YwOO7r53Vc7KKdLhU0nNJqfLTmF11DpGfW4119LJqEd2wh+Wv6GQm1vuoccDD/5CfkE3/uQGe1lV2iU1i2Q63b5Ho4c4fW5aLbCxn08+bm3bmH0GhamnAETLIFVoWZfu5rU3wsunW+vOSbw5m37eY6P/OpxAEC0DqGiq6cLPr6OB85jLmTXNdeGoA2qxw8MDsbkBfPQ36cVzZ898QQAIP8o85wpE1lN93XMsVtAk4lyZ6yuIvfdwUMqvhmfQjCL0ce8KshHRS4s5psPPyKrzFsCsR0WpvPnBwQ2OXsBM5qMbAFPOCCiSSMYldw1lrll5RnCWMf5aQjT30vvbWlL9PSopy6VWX8PD64/JSCZQwcU0DQ6hZ6htU14BWPooTocOaVHC0/KbGB+Fx2kuWSKeM3606zqjx9NyPDmDcpz2NNBwIufD0EyVdXsknh46ntYoJJAD36QtNhU/YwyQGQIy9D2Naz8n2tRcE5AIM9xxEju2bla/m2JowLAiCwCsUrlsZZ9KhqSlpYGABgzisNOx/Zwj6aNU3BOvUhonynj+fcKosvTX6+dyTO4H50dXNvSzAhqw5qN9pqHvv3vPJ80ArISYvX6LMulp33wPkYwN90wHwDg76eRXEsloyErOkuK4Z6v/XSTvSZEBoF8wBzff0A987lyRkM541mbOFVC0c2D23VoaeR4vuYImcc/+Dl/L8GhWjPp6jHQ1abSc+cz1+O75toQNPeH75prQ9AGNdT38fZGSkIiRo6cpg8KyGHNKk4dRYQSU97Vqq26YJmKs+iXrL99/BUccyyPYfT4IE49XXXdUvvYpo8Z5n4sGm3VFQwNuys1tJ04iSHhiaNsuS2Yx6IjFIOB1dLSmTqZBaZJE5kWxKYq8GT35yz8hYvwQUyMhmIWHqO9lf9z7Jgo/M5U7oGCg1sAAKlCwVVRxTCyyxHqfyDz2g2tPHat47NOm87QeFg2U6YDW9iyq3PMyi+aw2bMwYMMYzt72AKKjVOQUEoiU6W9eWwL9pr6/t7SahubQ3JLixY7tEvJMg2DG9ctrx0uOoUOsVvk5rHV1imTh0lBCpay2LMiovi8AiFWzUxXAssTuQz/R49jkbdXNjhxuF4XH37Atuy48TzXyAimTl6GFmR/8XMSvP7kJ9TDi3foLm7+nHt9VtKhzGxeJ+8tV0GNlFgCui6/hhN7n77HluGOHZpeTZNJypEigNFUr4OsnQMsCu4XTcWObgKjolKy7DXVorRcVcOiq7fM84+PUp6F2urqvwP9nM9cj++aa0PQBtXjmwMDGGjvwIZPVak0Swpm4+ROmpLEVlF7kxYp9vexPWJ5+uaWbnmOtvOWXsOJteEZvKOuXaFAwl5xMzeIAMSzf3wOABDigOMa/SwInasi8KbpHD1kfJPeUe+4me04L5nxjpFZ/bdfUM33+gZGKvffyzZQW6e26nbIZNayZfQMMwWwsXmTFoEGZGosyeC5RcUJWeSbb9lr8gT6myStqRUrlWL5M2k1/st3vgkACA7mBN13H9fByR/c8R3+j0w3WkCTji4tRHZLUXLSTEY+Z8/pPL4hdNZjkwiZThNYcqxjAjBUerZ7dhOkFBPNaCLFAcutbxYl3AgWEtMd7bzGCkJlu3tFXGI6C18FhUqpPnmKAKdMfh/BEjE0VmubdlIO99iKJDOGswj8x9+/bq/JO04g0Z1FZF/6aINeO1aRE168PvKFJWigT4EzfjKB+OYLpF2//TsPyuNadP18IwugjQLvnuQAGcXIOTXJlGCEL7+zK665zF7T2sYCt2cuv7TMESw+BzsESoI8vWxZsa8y1+O75toQtEH1+DBNmF3dWLZ4sf1QdwvzmdnTCFN8520OSgz06yxzmLDB5BdwSGfubOZLzS1aBzBM3jVXvM/nJyWrZwmNZA62dAmZUnoFRlt0XLnZ+vqZi3YJ8Oa5pzmXb3jo0P/8+fMBAAvnM0cuF0HKWoeckiWT9atfUjTy3/9dRTdNYfXxjGLkEhZODzUqM81eUy+ioREya18qs+9na/U90oTO25Rz6x9wAHjqGKlMnUaxCmtWvbtSmVkWXUpgyaWXCp9dG/fjRK4KnYQLLDlrEb266Zhfr61l2+7Yfs5tZWfyfD5wMBFdv4zsOjbltcym19frQFNWDiM2bxk0MdsUbmrBaC2xTWs+vz1UQUYW4CU5nZHCjg1beF65GhWMGsWWbdrVBAC99/IHAIDqKo0KUpJZTyk6yefdea0OJP3tI4J5SqStFxXOtmRinNYayotKAQDdwuP3p//mdz/vkoX2mhtv5nDRzn2smQz4avHoqsWEDwcGyj6YPFZariAjT09GwJeLwOmRg6xvrPl4nb7OkuttVqKvMtfju+baELRBltBqwZYNnyMuWqu/bc30eiMzeNfNzSXwpNaRp1UJQMLbm3fbMxUEOPz8v39krzl9mhDdGTPYMcjNUwmthARWaZ/+Pe/E1jBHZLieR3cP88SBAXqmjk5rDFM9fonc2SNv5t3+6EF6yAoHV50lqHH6NM/xxT+/ZB979Kf/xfcQppXxOfRCOZN0gGb9WnqE5GHMiS2RRnjqeTS30WtaXIRt7erN581l5NTTxRz00EFhJOpWj10hkmJvvcO6QWw0I6LRY5W7LyycAzifr6XYR+YoBTsVF/Ozzb+ckcOWlRyDTXGIRESlEPATlUCPX3CEHtOS6wKAEzIeXN/KCvfM2TPtY35+7BwEyOBMs4w7WyPRALBjO4e2INHhmk85kNTVpfn37m2sMZjdvHZ2b+ewjC14CpUiT09n3vzZ2g/tY80yMh3gy/1Ys4Ye1ilCWl7I/Rgrg2WVUidKSU6z13j4MtqzpLtKZPgIAGqlfhLryevKYs718dYKfa9cj1ZE+fEKRi4+pl7DRfmF6O66sCEd1+O75toQNPeH75prQ9AGVzvPMBDg54+DB5Xp5YorGS5u2EDsdIlQNaekKnihroHFq8hotjmO5bG99/by9+w19wvh5QGZBvvj8y/Yx/72OkPaLAlXm2RS7OBeTQfaRSO9v59FlKhotn98fbXIOHMGgTZ1or+eIuHs+HHKHXD0KEPa8Eg+v8MRerU2MX3ZuI3hc3CY4L0dhJzdXUxDUtIY0s68jO0oC2AEAKvXkKI6KorgoNJSVRZ+9JEf8CWDGSLvE7GJXkf4u3AhC0Sd0mqcKSF7ab5iw6tqGX6OGsVpw0MHFUe/7Bss3NUXM2WoPsNi32XztZhVtJegHotyO8CPKV2og4I7OJx7lGZyzxschb+CArYss6ew7dUtxT4fL53uSxSQ0VEBXXV38jMOOJhv2qV4vOIDgmquu/4bAIBnHGSZvZLO1dYxZbOAWQBQf44h9nBJ4RrreC12tSrb0OjxBE3V1zMMrxMV4x07dttrMrMZ4iemsj0cH+2gqJS0YfcuUeRtZFozbkymveREeSkfm8drMGcs3/OjD7W4V1nRiIaG8zLc2+Z6fNdcG4I2qB7f19cXacOH2Rr2AFAlTDXZolRq6Ye/9tq79pqUFE4mdYr39BWGlJY2BZzsOciijZ/w2XX1ajHr4R+QKvvll18GoFxxYcE63dcmLb7QUEJE6+roxSwuAAAoEzrnZ57hXH6ctNy+9a0H7TWbt1JCK1a8Ub+DRtn05OdOEcDLxJm8a586qe2nxHB6hEaBaO7fQ69xzTXX22tGZlC1t0/gmQGRDoVUwYz89pGfW+/Kc41ROG59Pfc8XlRmi47Sm2c4CniGFFJbevgey266xj5WIlJPR/bTq3c3c826T1T1NyqS+xgUxOJTl7DrhESrx88XMI5Fq52crFBZf2n/7fqUHq2sjHP1Vy1WeLLlqa3iXGoqv5+D+zSiDBZoa4AfL/XwMLbMPtm53F7z0J2PyDnyerKuNwAYnkmvu+wSfv62Jnr8MaOVdemJpzhhOlv07U8cFbXcEaqWO2DyenzoX78NAMjOVm++axe/44hQRrSrl5OTwc/BoeDnKZTsQjsfGMS2ZmSUFhmDAiPhVfR/iXPPNddc+//PDAssMBgW4hNiTo+ejksvUzFA3yDeoawWxmKB1b7+irZULBbZMxX0vuGRzBebmxSAM0Xgm9cJR9r9933LPnbgAD3af//3fwMAlt5F71my65S9ZtcuMpt4igbXbhGEiInXO2p1Nd+vS7Tq/YQTbcIEhV8mpbB9tU0GNNKG6xz77PlsNbb3MgdsbGUefcn1yv9Wuo2ebd36DXJe9AYNjdreDAqih587dz4A4Jvf/KZ97FQR6xaffkavkSpeNNEh/gkPS5CTOfrSZfSiuXlH7SVZo6W150WPvXP7LvtYgDf3v7yYHrayhK/jVDjJkmGUfoPRgIeMn89aON9e4yWMsBYvYZhD1spb4LedAlyy1uzeqVFaTCQhy3HR3PN9O1jf2bRBZ+2TZeCmUlqYt99xNwCg9py2QHdLhJAgYKHjJ3QfLEGP/GNsF8dFMVrr61VobH41h60sPftE4UTsc9RVwsO4j9MmsR403MG+7CWcB3V1rHFYg11lFRptjhM4s9VyDRZQWkOtin8Wn6rAnT+5Bfmnc78St+t6fNdcG4I26Dl+6ojhOF1eZj92820cWJkzj/nRv36XbChe3spqs28v7+QeUv1OTGT+OGy4erHAQAEy+PN5vg5WnPYO1gbefoddgKXXMSqocJyHJTvcLxXhpCR6iqBQzZ/LpbLqLZLcFVWsAvc7ZndnzWHVtXE1pZ6yAzWXq5T1YybSG8b0yWs7oq7SUubfW7eyGh8Swpw41luhqtXVHGCxhD4f/PF37WOH3mGFu1F49JobmEePztQuSY9AfMPD+P47tnFIKCJSPW51FT1kYDDrAE3ntIodGk+gS2Ndk+wLP1dWlr7HxzJmnZHNfPn71pBQsOag5cL93yHfT3ScRlfnhJ23s5VV9bIyflfxibomKoLnZnHWh0ldYfQYBSLFCi/i1KmMCONk9DivQMdye4Wxds9eifocsuc1NfTi1njw4WOsa0yZON1e0y6ce/4CPY6I4nvWVSrM2suTNYto0TJoa9ZuT34uoejDhnFf66q5r2HBDkbioyIfv4gdmNqzPK9rrrnVXjMsdSRqa5QF6XzmenzXXBuC5v7wXXNtCNrghvp+/hiZlY06x2x3pUx6ecTwVNo6GKJ6e2m4ZbGnlJcRqGIVJBfNV1r/oGAWg05L2DTRAcIoPlUKAAgMYTqwXjTaP/twtb1m/HiSOB4+zMKOpWQb5gh/LZVYCyNfINOCnp7KyOkpAhRZAnzx89VjfSJ20NFKsNDh42xBJo8eZa8xRdu9s4f35LEyiedsK/ZKm8eS+YJ2LpGXyxB2yWIWST9Yzom5iAgNGz/6mK3SCVNYaEpOYfh7rkHD+VhZf66ZoXasg0nIU0g27bQoMQ0AMGvOPHvNux8xrbrzW+QwsEL8+jMV9poUEeZ47w0KcoQGKe48KID74OXBEHvKFBazPBxgp91SzEtL4h7Fx/NzJMZr63LNp/yOa2vZ1usb4DlbZJ4AEB7N0PzTTzmH7+mr/nDhIqZuzz/HWfuYBIbq6zd9Yq9Zehv3euZ0rn36DwQHRcboPECQH99/whROO374nrYTDwkAqamVKYNVUBwWr+1ND39eV1WlTHl+9J+k+45zpEfFpWXo7nFcDOcx1+O75toQtEH1+B2dHTh09AhGjEizHzt6nPDb0LdZaLrlVkIqf/r4r+w12Vn0+FFR9L7tbfTGl1yhkk1V5ZyNP7BfKKxN/WhWuy1jpAAzhG0nLUVn9mtEt71R4JK+AjG1CmkAMGUKeQAsnfuZMzjzbjPBAOgWvrSrl3H2f+8+bYMFBvD8i/II8Lh2GcUZuyvO2WtypjJSmTGfU3arVrFIOHGiwoJDOugZL18qn99x+w4TgEyHFJxyJvHc8vIUJDRyJAuO/iL1dLKILcS4eIWRehiMapLT+XrJ4tUBYOX7LNxFSsGruIleaLlMjAGA4c2T8guVIqt0+vwckmTw4prZs1jYjXcAXswm7mN1NaND/yCe67EjCh2eu2A+AGDTerZO4yJY7H3lpZftNbfdfou8Dr/H0lJGHFOmqjCHBQi7406yJtXWO9rEM7jvr0yhFz8i0mYW6w8AzL2MTDlPPklg17l6Xkud7Qowq5ZI4+0P6enrHdGVEcC9bhaQ0yGBTvf5aHt08lS28yLl+62rZ+EwNkav4bGjJ6J8bQEuxFyP75prQ9AGmYEHGBgYQOFJvSsNTyeQwVfAHNNm8E780MPfsdes/ZQ5eYuwys6dLXfrML1vHVnJyCFBxBkD/RxMLTKUM24M597XrGV+FmTompSUNABAvgBg/OUufPvtt9trrMGbqwVkNG0KvfPYsWPsNSGWhzN4t7aiFABISea51dQw79+ydgsAYP6iS+01vvE89sjj/Pz+0vFrd3iPidN4958yUzgHHbfvnn4CXVq7mJt7iFf19FEPtXIVP/+iRczJ585j5NLmEPgsLGA9JXsK8+fmxjb7WKrIW9VU8z16TxII1dmjYBJLkmzibO5Rl7x2YKRKR73x59cAAJ+vI1iprVmFLJaIRNX9P2CrcrO0B0+f0kGiSXO5b3Pk/Fe8T16AO++9017zxG8YOVpsQ7ES1VRWaa3BYuf19uFeZWal67F+fu74VIJyxnqwHmPJuQGACUaQZSLb1tEpcmHBGt14CE/hUWGDDnUwCYUn8JyCAnjtHJco+NIrFegGL14XnqLUYtWSBga05rFn9y60t+n3dD5zPb5rrg1Bc3/4rrk2BG1Qsfoj0zLNP/7kLyg+nW8/VllSzAN9AAAgAElEQVTDQpkpuvSpw9J4Yo4sJGccp9hipbARG83W0ooPtJh07DCRTbOmM3w1TW2j7d5NOqtFl7CIVFbOkKyqWPHvll5ZooTj/yU0WfBQ2PMzz7HAY2mbW0i30hJV5v3bG1T73bVzCwBgwFS8dqy0jXxEd80A04nYGEUgbtjP6b7583mu4VEMCTscNN1WeGdh9huqVSwj9xhTlUKhHusXsYqccZqOfL5u3d+d/3e+z7D8vddVJTYkhK8dkcIi5/gxOo/Q301/sXsHMe6NMkcQE6tttHnXzpeTlQfk6/j1Y7+216xZzRQuMY4FKuc8fm8/04aNW3iuW2U/Z07WIqc5wPTl4AGGxhbp6VVXXWWvOVnEoqaPF6+nt95km/Hmb9xmr+kSItERGWl8vaM6R58q1Nf10t611JA/36CU6MuuvwsAcGw324v/+ZOfAQBKS1Qn0ENC9csuY8px222aQn66mp8xL48pcJygDf0D9Ddw5WJyHcyYztSptJjF7O1b99trCvNO45UNf0VVQ6WL1XfNNdf+pw1ucQ8mTNPEg/+pk3NoF5fgz3tQp7DUVFcrzvnMGWLBu/rpKbfuoiyUdRcGgHMN9BbnRAjjww9UFOGB+3hHPiMz3XskAuhq0+LLZJE4yisimGLtBhI3/vmvf7HXREaxCBMZyTvygAfv4q2dWtR64UUy/9xxx4081qLn2N7GFttpIe3096PHffv1FfaaY6eJBT+wi+IbkwRjft19d9hrWqWdWH6abaOOdo0qrGJpYT4joPpGto1q6xXDnTOFYKWl0jptqWSra+4iBeBU17LF2NDG9/JzyGuVH6Vnau8U0Q0BAgWFKgCn6iQ9UrNg7bdt5Z5vWb/DXpOeSEx9qIh+1J5Rj9/UwiLVb3/zBwDAD3/9nwCARqE0B4D2Nl4rsRJpREokWF6pjETBkWzVBUvL7r9+91MAwJFt6in9/Xkd+EsENMaB9d+1l9fakps40Xm2pBQAkOGYpz97mqCp0eMJqLrvfl5vlWe1FWwRvH7nu5zHDwzQvSotIZApVSYJM4WuPDJC501KyxhV1tXx+xw2gee4b78WO0vLy2yZua8y1+O75toQtEH1+F1dXTh5shDNLylg5fqbOIteVsC8efh4tqqGxWm7IyCUd+SThbyzWnm4o5OB3buYX7V1MBd+8EFlxak6S4DJDTeQRWV0Nu+wf/vbBnvNXuGUCwjm4PjrbxJGOkumBgHAlO0qKmI9YJsIUsbFa8suWjzjgCBW/AKUs8+6GwcJ00pVeaO8zl57zfR59MZRIVzT3yF8dIXqxSJixbOVMhKKilRvXCj7OFpy+m+M4fSjjwOG2tPDCKGzmd6ja4ARS0S8suP0C2Q6qJd5dOEBBc4E+dFbhYv0VXAI6wDRsfr8Xbvo4Udl8jyK8rhnfoZDV76WEVBdKaOCQG9t9U2/jNNvmzex5vFDkx4fjtpNruTEo0ezTdsvDDoDDlhvSztfOzGTdaLTh/k5cqYrpXllidCjy/MMhwzV9Fmk/F4uEmZTRPglMVFZetZ/wvbohBzm36HS0s3JUYBZeQmjzcjhjBp/9YOf2sduFB7A9etYN3jlL1sAAPPmK8jo5rsIRDqZx4i0fh+jnYOH9XsZPnIUfE/qNX0+cz2+a64NQbsgj28YxsMA7gcJ3I4DuAdAPIB3AUQAOATgDtM0z5tgdHd34+TJkwiL0rv+lVdSTishjdVTT4F6Zo3WO/K/P/IoAKC2ljlTSiqhndkTJthrrEpzcx09/qlTyq7T1cG7vsXAc+ttzNfuu/8Be81Tz/4OAFB6hjlkQJAM4hQpE+93vvs9AMDVyyiHtEDYaq+++nJ7TeQwC6JKT33ygDLGFBQyT+tq57keOsxznDNPh43yc+n9u9MIEAkTPgB/LxVgRC89U6RIi236XO/yCUlpAICODubIFjCqtFSHfBJTZLBDmHjaurhn4d4qellQTG96yWJ+trOnlbsgIpjr4mN4jiXizXIdElwjhFGpKJcdnPamdnlL9TXxUQTF1PSwntPdq7USa9Y/wZKqauO5enoqEGnmTAJ3jh/n+2Zk0gv7+WunqlVqSKaAas5W8lw9DcdglXRXCkV8pOCUwptzJvMa8/FhVDNMIhg4os15CxgVWtGWxUsQ5K85uscAu1bnCrmPI4crPNlPKv7eEmj820P/AgB4861X7TWvvMjo8N4f8BrsE+adYcP0dc5U1MPEhXXpvtLjG4aRCOAhAJNN0xwDNmZuBvAEgKdM08wA0Ajgvgt6R9dcc+1rtwsN9b0A+BuG4QUgAEAVgIUArEb66wCu+ZLnuuaaaxeZfWWob5rmWcMwfg+gHEAngPUADgJoMk3TEveqAJD4JS9hW2hgEK6cOROmh95vQvpY7MjbyjA+UULVt9Z9aq/pERzEo39gyF+0hy2hwCClxUpNFa25Hk5zbf9EC2YtLSyEBAUxpNopgh7f/eEse81vhv0HAGDNx8SEV1WInlmszlQXH2fY3tbDufqlVzPkbzmnxcq3X3gRANAgNFvTJmvKMj6bhct3PuDEXUYGw+HaRgXnhIpmnSHFtSnT2Crzl6IjABQWMXxOE6qmCTnj7WP1tSzYzZ3FwtA+IesMcMwuHBMAk9X6zBonen8tmh5FCi112THyE6SOUEGPnVu5//FxbB22trKoFh2hLaoAUXcN9rP03Jle9HWrHlxgFD+rz4Co/vZqCrhDhEl+9yTnzvv7GFvnnThsr5m+mFNxfif5mr09PI+8XE1r4mN4jut383n7dnDvfExHKijnn5rES/j2u2+xjzXJJOjc8dzPjR+y9TphqvI9dIpoR6rQgnl78/poaNYJvNoGXiORA0yPih1tyf172Xrt7uY+TJnMFCY4QDkQ0hIJHHrpiecBAPf/kDMMM+fqZGhvfx8+3v0GLsQuJNQPB7AMwDAACQACASz+gqVfmFwYhvFNwzAOGIZxoLm95YuWuOaaa4NsF1LcuwRAiWmadQBgGMYKADMBhBmG4SVePwlA5Rc92TTNvwD4CwBkDcs0w2Ni8Mxzz9rHQ2V6LUU8TLCw5Az31aLFug1rAADfO8syQvoIeqiPVn5sr5k4kQWWF8TjenoE2MciI3nnrKlhYcWS6aoo1YKVtwffv7uHFZYzFbzTl55RINEjP6E81YjJfP/3Xyf8s6NZ9emT00inPVIKkKcKcvU8ZF48JIhtq+qz3DLfYPXGURJhhEexMNTQxKLO+g0qVhEik12jJOLx8tKCV7jIUtWKUInFeL1u7Xp7jZcn9yZG2Fsa6vhZp87RYumOHWwtjRtHT194XCmns7MJHukRksvmRlHvDVSPbw5wHy3AyaWXsYA5XQVxsXEzQTQ7xOONydHo6NobWeC6fDFBRcePknw0MVEDywrhGGhpoUNJkb2fNUsjuYFe+rYdmxn5ZAvp6MFdCuBJETXl3l5GKZ99otHm1bcyqiurYDv1nERUTQ6pqqR4fq+mbPbhI4woLXVnAJgi59Rwlns1ebJGDAW5jD7ChVjVEg9JTdVZe4snor+f71F2hEVn67sAgJMnT8LD4yvRugAuLMcvBzDdMIwAgw3ORQDyAGwGcIOsuQvAyi95vmuuuXaR2QUN6RiG8TMA3wDQB+Aw2NpLhLbzDgO43TQdEylfYMkxyeb3b/o+evp02ao1vLu2WbJWEbzreTnuXPPnEMxx4w0UfujsYM6+b7+CF9KGiWcqYG7++z88Yx+bOIF5cvEpepYF8+l2fvX0z+w1C+eRMae5VoZaxvCO3NKqwgsJ6YwcXlrxJwBA3j4Ohwz0aG/n8E7OWweabL8dcwBfAv34WFwy87xqyfs8/TR/9/Sjl0gfwdx07gKKcJSc0bw1SXToI0VQYv0a9eYhgYwCUoVd6A+/exIA4GFoVNAs7DZVwjr08muMknoGNBXz8OZ10dnDvR6eqTn+B+8wz116JWnK9+1h7SPQXwUtx49hTtrWyuf7+jB/9/PXuowRywihYB89npM6OzSFEc+pIyJCGs4opcYRgcXGydCTP/fP35/7W1OrMGkPk8eO7CO0tfUc6yk9LUpvfbacRaSwEJ5jbZ3O6l970zIAQL/o2ydaAh11yhtpSaslyFx9gnyOkhL9zvx8+XmGpzFaDHMIarz+e7btEqVmcuYMXy8xSfcjXOon1bWMEl9/83UAwJNP/8FeY3oYuOru63Es/8RXuv0L6uObpvk4gMf/4eHTAKZeyPNdc821i8sGFbLr7eOD2MQk3HLHDfZjqaOYC5dXMN+27tqGAyGRlUGIbbTk6u1yh7/1Zh2tfP99Rg6eIkf0q5/r+Kd1By7IY2X3wcfuBwBsX7/FXtPSTE+QmMA7cmeHwDc91RvXisQROnksewYZcFb+7X17zfadrHhnJTOXzMocZx8rKaZnS0rgnb1dgDPVDtZhi3/Nx48V+xDJw2N7lFklV0Ax/T0E2URHKxtMsuSrUSLDfLaCHsLfUdUvL2PHISCAXtSCII8YpayubRJVFZ7ie5xr0BHmyxeztuslwpZ9/YxSxozWGsFGGXLqkkGerCwOtSSlqKcLaLWiG3ruWsc+NBxjVHLiBPNlayBnxiRH/i6gmMJC5sTDhxPAk5ikn+P4YdYBrM5DeTm9eWSgwoOt/DlcoLYJDvHOunpGD76hVg1KBnraFFBVVsoKfYZcp/HD+e+5Oo08bCnuGkZ5rQ2Kdbvr4XsAAPnbmLeXScX/TJmO9a5axX3IHM3XHjOG11V+vgLM6urq0NbqMvC45pprX2LuD98114agDWqoP9A/gLbmDhw5qJjuoACGUBkj2IoJEZXUkSNUZKJBWiimaLX7CvXznu3KlHL7rZxX37KFbZ9DjvdoOFct78+i4pb3qKY6c5Hqn919O2eoD+xmATBa9M+a2nRG/JqbZdoqgPfLwzsJElq+XJmAIgMIJPLyYYrQ3Kptn+BghocdbSwY+vtyTWyUgoQaehmqTRI67ZYahupnHK3H6VNZ8GtqZBtx/54D9rFxWQwBN6xj+2+UiG6cq9MipYUl7zeZslRUMqSMTtR2XEIizyl9rBTwdu6zj7U08xzLSlhoGzuGIJKfPq7pVY8Ua7OzGJq+c5h7dO8DSoTZKOCYXsGBBYZoC7atjWlQfy+PzZ3Jtp63I/WyKLOteXxv2c+y0lJ7jXUsbhFTjD/sfQoAMHOapgz1wvwTIK3kVIcm495DvMbGTmKrsVtafk5l33vuYZt5507SfFu6i2NnzLHXbFrJCb646DQAwIrl2gR77RpO/o3N5nf+p+cJ0vH11YLs5DzyRVTVME2LltSnq11Thr5eExdKqOV6fNdcG4I2qB6/rbUdu7fvQWODtmRmzGZBaM5SUlZv+JCe4dgB9WIh/ixMme28244RjfDc4zpF1dHJW93mLbxD5xcoJHNYahoAoEb04NetIw3z3P3z7TWLFlCF1M9gBNJqtaFatFgyYoQWfQDgk4/JlXamTD9PWAY9peWY+nu0bZSRzRabpfWemsooJ7dQOft65FhNFT19uLCwTJminHf79rDQc+I4nxcZrh7K059ec+IEtiM/+4wQ5Mrqs/aa4SPohbduJZ/AwwL/9AtUP1BWWQoAGB3BCKK1RUFKodksjEVH8fP85YVXAAAd7Y6C7Ah5XjP3MSyEnvdPz79or/m375NCPFHoyU8eOmgfiwhhITdnDBtH/T0sBEbGqqeNEomql159CQAwYza9eEKCAl+K8rlHs2aT687bl5f8sdxj9ppmmd5MDGCRtNtQIQvDh+stXgaLG2L7GgX5jM3iXscmEFy0Q2DSC2V6k+fEa6dJKMQbmrR1Om4cPb2HiHRYQi2WdBwA/OUl7tv4S/h7aTvD6/KZZ5+y1wQE+aOvX8/9fOZ6fNdcG4I2uKKZPj4YlpKKnVu22Y8lJPAOPkduQV0dzMMDfXSWubeLeV5IjEhoifexJK0A4LRIaJ0qYfspNtHBEVfNdk9XO++SnSLMeWiv8pVdPp9z52fK+XzDg7nTrbdeb68ZJuKSVqfxioVkcy0t1DpAYwPfoz2B/w5P1kGLMzUEdFiQ2dnjZda9Rod07n/wbgBAs9QWYkazrVd2UCGmH77LqCg9gx7htVdet48tnM/IpauDe/TQQw8BAHIdElrdfYyc7rqfTK+eIsjYA41OfAOEeSefkZO3t+bWFtdBzhzuf58IUoSHa4vM05OXVnYWvdnLLz0HAEhJV1CK1eI6J6zFJadK7GPJCcLLICKT3dXcI3NAhUX6uhnlffuRH/O8jjJiOHBIQVNzpDYAg1/ajbeylfzRcoV7B1rcdkKWtG6zwqOnzuJnDEqVqEpasCOEFw8AGlv4XXnI8JkFK7YgwABwqoSQ3xlTGJV869vKBXHXbXfzNYex9nLVMhE8/UCFNe+5hy2/p8XDt7QzkvLxVYank0XF6O46L4bONtfju+baEDT3h++aa0PQBjXUb2xqxIqVK7DkSqWamj131t+dyZEjLLoE+2sRJ8BbNMWOyRx6Oos3cxZpuyR9HAt+BeVse+3Zq4UiH2mt+YayneYXwr/NPr3vrVkjIhNhLCR+/z9I1ukbqBNWiGLxp+o4C2WrVpDyqrpCw88M0ZWbPZfFoOmTM+xjv/4lZwMGJKY8ns+0Yu8BnXw7W0sk1iM/fBgAsPtj6runpGphMTmZn9/Hg68zKUdnsl9+ibjvBQv5/t19TDnCIxQjHxrBkNxDZv5LRExk0RW6n9bYRVkRW6nOqa++fkkJpI50yaV83m9/+aS9ZuJYtr/27pN2mPwdEqGItyRp2Z4uZOt15jR9/yCZZPzkb2x71VQynM6ZpCSXlg5esrRDk5NZLA0O1ZSjVdK6znamPuMmsugYG6vKwJ9/ztD+lruZ+iRsVyRkVAynHQuPMn0YMYLa9aGRSlM2Kpvr20Wj0ZpIrHZg/hOtOQQvpkX93VqE8/bnxR8Tz/POzWUKesON19lrrDmG02VMGSoq+dpLrlpir3nhhReACxvOcz2+a64NRRtUCa3k2BTz4W/8B2pq9U74yKMkDzxzhp76r39mayYiVItAvtJi6+qip6lppMedOltnmsdOIgvN9IXiNRT7gPUrNgMA5s3msU0beYf//EMlwkwVAsox49IAAPX1pQCA8RMVa98nRJE/+vFvAQC9PSzSjR2tRcZiIWps7+A5vv3WH+1jH6/i/H55KafilizmrMFvf/0ne01iEqObSRNZuLvzLlIvv/ueyltBsPErP6YE1YwZqqra2UnP1i5U0xHRfL2MUaoA6yUtrWih6bakmvoNBYOYoMcP8U/8u+cAwIZN3L9p08hKkzmW38OGFZ/Za95/+yMAQHqaeMhg7tU1N15pr4mMIWDm8FG2boeP0ILZoX0EUp0qJLjIw2R0U3ZagVm+wXxs2Y2coAuWz+rhpW7Pz4/XTkMdi2HlxaUAgEsvVYJUrwBGIYcPsYAaEqnRUXomI7Z+oUZfu5Z7fuV16o3PlTJiahOl2rRxvBbXvPeevSZeSEMDZToxY4QKcvz2V4yUVggz0+LLuEdLFuteFZwktXx8IqOLEIupyUMjh66eLjzww2+hoLjQldByzTXX/qcNroSWAZg+A4hxtLgiRzGX++gTgmqyxrD9k56WZa8pL+Zd39IbNwvZmmnp0DZYd694K+k6vfPSh/axmCi24SoqGGksXsrpslFpmhtbAhAffkKvFS13/cY29YJCDYdmAaXExzFPLD6tE1KRkhN6NtHzPvnM8/axR39IcUrpfsHLi+8xLEOjm7Y2Ql1fe+NdAMBNt1GKa/GVy+w1mz/fwveXKb+TDrGNEKlRtAosuLGJ4KK0YToVVy0w4MR47kvWaEY1pcXa8gsKJi+Cn48w+pxTCa6Z0+npCwtZc8kUIcmoaJ0A/OnPfgQAiAhl/t0ugKiKaoUe5xextjF2POszkREKXS4r5WeqrWZuPyZThEbGaXSVf4rvv2ENIdhXXsfv9VS5greuuo38efFSGshKpwfPy1NmpCMnWFdacCkjJ28/R7goLTrPQF57C+bNBwBs/XSdvWTeEj52TJh7rDbe4ivVY0OEUv/yFHkiEuK1ZnPPvYSbf//h7/O9RPbr3Rc0Ynj2WbJW9QvLzxVXEj7+qyd/aa+pKCv9u/be+cz1+K65NgRtUD1+/0AfWtrrMckhdWxhRnbtYfU3PoaV2YoyZa6NDqdnPXSYgyKWEKKnp1bc513BTsGeDczTfv3L39jH0hJZBTcEzrhyI3OpuDStzOb00+utkTny43kitTROOc0uuXQ+32sBawXr1rKq7+uvnm5kJtl9Nm8lE89tt+sd2TeAVdv1K8lgc+21BAddfa3m6N/97s8BAOMnMAf8bA3z6UULVcprzDhGKkdFkCM4XqvYkZH01K3tHA5qbOYgy+pVCjF9UIQboyMZaZgi09VSrxGUIR2PiDR+ttpq9ZBWvWDpNQTDmAIasSr3ANDXyb225Klrq4UB1wEkmjGL4Jx2qbhHpuiQjhVV+fvTg3V1M38eM0wjwcpKRi6VdaynFOYzDx4/Rc/DAlsV7uZAVUtji5yr1m6aJRrZvo3AsglTtHZkiYX4iieNj+aepSUrLBhtvIinTuLQV+05RinlJVrLShnDmk24QJFPn1aw0thpHLpa8QoBO8eOco+2bdtprwkMYpfLV/gaNm7awucs/8hes3DRPHh6Xpgvdz2+a64NQXN/+K65NgRtUEP9hKQE/OzJn6OvQSe9IPyMN11/MwDg4D6GyNExWvCyKI0D/BjmVApI54YbteDVJZp5h/fy+WH+Gv56D7BY4y/hWkMBQ8SIiTrVltDHwlKmzKrn5XKqq9gRrnlv57y1Rfl81/1Uot20cbu9xuxndfHt994GAMRFayHz+HEWoyqEDmvHTlJYz7luqb1m0ussGnkK0OOZ51gcnDxJRTMsrLyFje9s05ZOp8w6RIbzfauqOcOQmqLAl/4etnB7u0Q7r5kFzPgYpTT38qJP8PBmWuWk7mpv47md2sp2qEVp7gFNveIF7HT1Ys4zrF3Lomlbp047NjazAJkzkaF5TLRSZ6em8FzOVXFm/6RoGAb2auGtu5Mh9tlyhvpeBi/ntCT9HBDNvtde5jyDnxcvuFUCjAKAX/yZBbeP3+R3VubQCczJYUpwVujKwqQdd+BIgb5FPT/HGNF7fPetvwIAMjO1ZVcv8xgL53FKMCRYAWqfC23cnj1MZRvqmRaFh2mxs1cERfqEu6BDvueiQi1kXnfdNfaMxFeZ6/Fdc20I2uDO4ze3Yfuqbdi7V+WtvnEj21W+ogZ707X8e/MGneCbNZ3FllPF9JhR9WyNpKVpgcUvho8Vyvy1F3SazJI4ShnB9ft37wIAxHWqNx4/dT7P5yYCM4pPsvgSHaWRw7wFPI+p0+h9w+P5/HRHARB9xE6cOEAPtcIh+tEl8NGTBQShHD4krDb9Osf+jW/w87/456cBAElC2bx3j7INxUczUsmSCbFX/6rgnoULOZ3X2koP0ysMNl69+lUPT2f77U3xcBs3MvJwsspYkNbf/o4Kw54OH2FNR/72CXpKC5zS16XTaGHSxtshLEltrfTOYVFaUIXJ14yLZWvLL9ohV1bMdl50GPc4Tlqn3d06feYlhcNoed6oUfxcRrAyCb3zIgFhAX58LFaKc2EOWO9TPyZz0MO/YAuyrU6nLVd/QshwtAiV1AexeDrrkivsNR0Sufz1xdcAAAtmsdDs7a2ttVP5/DwNNVw7aZLyK1RVsFUaIYIaqYkEPdVU63kUl5RybQ0JSTPSucY5odra2ooBdx7fNddc+zIbVI9/tqISj/3o54iP1yGIVR8y95s7i6wj48ey1Td2jHrR5kaCUI4I1fI995G3LS5bc7kDG3ls126280Y5RB7PFNP7Xnc9awLSEcHK95QrL9SHd9uRwq322lv0uHCUIzq6ebcuPMk6Qp3QQYeFq6c6foIRR1oKgSITJyvl9JO/JdQ3KY6fv6eDJ/LmS9qSefENDtl8/D69b2cH6xsjhivgIzuDn63kJN9/qqP91ChyVgPCInPJ5RSWPHREZ9Sj5P137yPdeEs71/oH6eWwfRePvfM2RRhv+9dv28fOFjAHbm+h9w0aRm/Y3qvtwKpKnvek8cyRI2WoxWpH8RwZIcTFMYJpLFN67Qce4Lz6a3/lfoRKTtzmAG2lDmPrNyqN0UC81WJzuLOXX30NALD0ctZRMtJ5XW2SdhgAhFsDNwJ03bFNodzNVouzi3WR4qPkzsseqZyQs69iHaNTIqEV7zPKq6ysttfMmcNhtP17eH1mZig8ecliwocff+wXAICIcEaomVnalmwSYZfoOEYqj/2cHAQRw7X2UngoFz29Cjg7n7ke3zXXhqANqsc3B4CuVhNRmerxR6Sx8mlVqq1R2csu0dHd0nLeir/9HXqBLmsstFMll8Pkrj1uInMni7UHACZOYx5UJ/DVKRN5188ZpSCOsgJ6an+Dgx6xiWkAgIG+DntNs3AFtrXQC1RW06tlj9a77pzZ8wEAp2UYZNdurfhbkU54EKGyJ8+wjnD6pEom33XLvQCAX//qJwCAAwe2AADGjlIP8d47zM1zxhE6mzNeo5tNm/l+Y2XIZ+t21kqi4nQMdc9eDsWMEqhuYxv/rq5X0YzwaEYYrcKE21+vbMGJmfS0v5UI5pmnXwCgVXUAyBCgzT55L08v1jH8g9Xj33s/WWWOHiVk1jkwlpJEiHGKSFb5y7DN4d3KlReeyO88OIj5e1A4o4LdG3fYa4alc9+6pYPRIbyNEeHK0BQUIgw84vHXrd1oH7vvHsJpPaUOc3wfI8ujB47YazwCWF+66QbWZz5fz+dHhGkdobmRHntEOqPUl19S7sHHniDY7HaBZ78pcO3cXK2ZeHuKhPY0gp4iYnjNVRapTFd0dDC8vBxj5Ocx1+O75toQNPeH75prQ9AGNdT39PRCeFg0Sksq7ccM0QezdNDCwhi+1dQpZXWeaMwXnvTMANwAAAVISURBVGKYN2MuMdGffbbKXrNE2nB33UdxgyB/JevsaGZIHhnGMOij1Szq5WRoqN8hQI8OCcm257HoeDRPQ7oSYT+Zv5DYeg9vhnhPPanz9M++xqJg21ECVe6//3772GM/egwAUCxpwLlavmdUSJq9pqyEePOH/pUMQP/x76Sg9krW9MhSde3pYhoSHaEhpY/QQVdVsVBmzaNnjdZi6fTFLAZOnMZ/n3n6NQBAYWGRvaZJMO3HjjNUb2iss49FCvNPURHXP/44mYWK8nRKcaq0q3bt2MLPfJqAl16HoPKAjDtahT9nqL93LwtsVturTbTvQv21HZgvU5HXLubMQ3c3U8DDR/U7u1Jo2/09OAdQXMDvMDw80l6TPlJYkqSrGh2tacBuwfhHSToREkQAz4yl2kbLlWlArzSG8WPHMfXK7lcAz8aNDP8b6nldj8xQfgRIwTIiMlTOmcW+ffsP20sSkli4vHqZMO5It7qsVEN906MHXV2OavR5zPX4rrk2BG1QGXgMw6gD0A7g3FetvcgsCv985wz8c563e87/Z5Zqmmb0Vy0a1B8+ABiGccA0zclfvfLisX/Gcwb+Oc/bPefBMTfUd821IWjuD98114agfR0//L98De/5f2r/jOcM/HOet3vOg2CDnuO75pprX7+5ob5rrg1BG7QfvmEYVxiGUWgYxinDMB4drPf93zXDMJINw9hsGEa+YRi5hmF8Tx6PMAzjc8MwTsq/4V/1WoNthmF4GoZx2DCM1fL3MMMw9so5v2cYhs9XvcZgmmEYYYZhfGAYRoHs94x/kn1+WK6NE4ZhvGMYht/Fvtf/aIPywzcMwxPA8wAWA8gGcIthGNnnf9bXZn0Avm+aZhaA6QC+K+f6KICNpmlmANgof19s9j0A+Y6/nwDwlJxzI4D7vpaz+nJ7BsBa0zQzAYwHz/2i3mfDMBIBPARgsmmaYwB4ArgZF/9e/72Zpvn//D8AMwCsc/z9IwA/Goz3/r9w7isBXAqgEEC8PBYPoPDrPrd/OM8k8IeyEMBqcNbsHACvL/oOvu7/AIQAKIHUmRyPX+z7nAjgDIAIEPK+GsDlF/Nef9F/gxXqW5tlWYU8dlGbYRhpACYA2Asg1jTNKgCQf2O+/Jlfiz0N4BHYiHNEAmgyTdOaT77Y9nw4gDoAr0p68pJhGIG4yPfZNM2zAH4PoBxAFYBmAAdxce/1/7DB+uF/kYjfRd1OMAwjCMCHAP7NNM2Wr/t8zmeGYSwFUGua5kHnw1+w9GLacy8AEwG8YJrmBBDKfVGF9V9kUnNYBmAYgAQAgWAK+492Me31/7DB+uFXAEh2/J0EoPJL1n7tZhiGN/ijf8s0zRXycI1hGPFyPB5A7Zc9/2uwWQCuNgyjFMC7YLj/NIAww7DZMS62Pa8AUGGapsW8+gF4I7iY9xkALgFQYppmnWmavQBWAJiJi3uv/4cN1g9/P4AMqXz6gMWQVV/xnK/FDMMwALwMIN80zScdh1YBuEv+/y4w978ozDTNH5mmmWSaZhq4t5tM07wNwGYAN8iyi+2cqwGcMQzDIq9bBCAPF/E+i5UDmG4YRoBcK9Z5X7R7/YU2iEWRJQCKABQD+PHXXdw4z3nOBsO0YwCOyH9LwJx5I4CT8m/E132uX3L+8wGslv8fDmAfgFMA3gfg+3Wf3z+caw6AA7LXHwMI/2fYZwA/A1AA4ASANwD4Xux7/Y//ucg911wbguYi91xzbQia+8N3zbUhaO4P3zXXhqC5P3zXXBuC5v7wXXNtCJr7w3fNtSFo7g/fNdeGoLk/fNdcG4L2vwBZFh59y7dGqgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for i in range(5):\n",
" img = plt.imread(\"../input/train/\"+df.iloc[i]['id'])\n",
" print(df.iloc[i]['label'])\n",
" plt.imshow(img)\n",
" plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"_uuid": "90efa6916403cb5a7446639bc576e461e460bdbc"
},
"source": [
"## Dataset Generators"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"_uuid": "6caeaa84fb97c9160c98ca960d083b7eafca5f16",
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Found 187022 validated image filenames belonging to 2 classes.\n",
"Found 33003 validated image filenames belonging to 2 classes.\n"
]
}
],
"source": [
"# df = pd.read_csv('../input/train_labels.csv')\n",
"\n",
"train_datagen = ImageDataGenerator(\n",
"# horizontal_flip=True,\n",
"# vertical_flip=True,\n",
" rescale=1./255,\n",
" validation_split=0.15\n",
" #brightness_range=[0.5, 1.5],\n",
" #fill_mode='reflect', \n",
" #rotation_range=15,\n",
" #shear_range=0.2,\n",
" #zoom_range=0.2\n",
")\n",
"\n",
"test_datagen = ImageDataGenerator(rescale=1./255)\n",
"\n",
"train_path = '../input/train'\n",
"valid_path = '../input/train'\n",
"\n",
"train_generator = train_datagen.flow_from_dataframe(\n",
" dataframe=df,\n",
" directory=train_path,\n",
" x_col = 'id',\n",
" y_col = 'label',\n",
" subset='training',\n",
" target_size=(96, 96),\n",
" batch_size=64,\n",
" class_mode='binary'\n",
" )\n",
"\n",
"validation_generator = train_datagen.flow_from_dataframe(\n",
" dataframe=df,\n",
" directory=valid_path,\n",
" x_col = 'id',\n",
" y_col = 'label',\n",
" subset='validation', # This is the trick to properly separate train and validation dataset\n",
" target_size=(96, 96),\n",
" batch_size=64,\n",
" shuffle=False,\n",
" class_mode='binary'\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {
"_uuid": "6c52cbdd1a74085b164c6f328d1eefc35287968d"
},
"source": [
"## Model definition "
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"_uuid": "fe53c63f060d2eb6ee8c9d4dd5ef8a0de4288f5d",
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"_________________________________________________________________\n",
"Layer (type) Output Shape Param # \n",
"=================================================================\n",
"conv2d_1 (Conv2D) (None, 96, 96, 16) 448 \n",
"_________________________________________________________________\n",
"batch_normalization_1 (Batch (None, 96, 96, 16) 64 \n",
"_________________________________________________________________\n",
"conv2d_2 (Conv2D) (None, 96, 96, 16) 2320 \n",
"_________________________________________________________________\n",
"batch_normalization_2 (Batch (None, 96, 96, 16) 64 \n",
"_________________________________________________________________\n",
"conv2d_3 (Conv2D) (None, 96, 96, 16) 2320 \n",
"_________________________________________________________________\n",
"batch_normalization_3 (Batch (None, 96, 96, 16) 64 \n",
"_________________________________________________________________\n",
"max_pooling2d_1 (MaxPooling2 (None, 32, 32, 16) 0 \n",
"_________________________________________________________________\n",
"conv2d_4 (Conv2D) (None, 32, 32, 32) 4640 \n",
"_________________________________________________________________\n",
"batch_normalization_4 (Batch (None, 32, 32, 32) 128 \n",
"_________________________________________________________________\n",
"conv2d_5 (Conv2D) (None, 32, 32, 32) 9248 \n",
"_________________________________________________________________\n",
"batch_normalization_5 (Batch (None, 32, 32, 32) 128 \n",
"_________________________________________________________________\n",
"conv2d_6 (Conv2D) (None, 32, 32, 32) 9248 \n",
"_________________________________________________________________\n",
"batch_normalization_6 (Batch (None, 32, 32, 32) 128 \n",
"_________________________________________________________________\n",
"max_pooling2d_2 (MaxPooling2 (None, 10, 10, 32) 0 \n",
"_________________________________________________________________\n",
"conv2d_7 (Conv2D) (None, 10, 10, 64) 18496 \n",
"_________________________________________________________________\n",
"batch_normalization_7 (Batch (None, 10, 10, 64) 256 \n",
"_________________________________________________________________\n",
"conv2d_8 (Conv2D) (None, 10, 10, 64) 36928 \n",
"_________________________________________________________________\n",
"batch_normalization_8 (Batch (None, 10, 10, 64) 256 \n",
"_________________________________________________________________\n",
"conv2d_9 (Conv2D) (None, 10, 10, 64) 36928 \n",
"_________________________________________________________________\n",
"batch_normalization_9 (Batch (None, 10, 10, 64) 256 \n",
"_________________________________________________________________\n",
"max_pooling2d_3 (MaxPooling2 (None, 3, 3, 64) 0 \n",
"_________________________________________________________________\n",
"conv2d_10 (Conv2D) (None, 3, 3, 128) 73856 \n",
"_________________________________________________________________\n",
"batch_normalization_10 (Batc (None, 3, 3, 128) 512 \n",
"_________________________________________________________________\n",
"conv2d_11 (Conv2D) (None, 3, 3, 128) 147584 \n",
"_________________________________________________________________\n",
"batch_normalization_11 (Batc (None, 3, 3, 128) 512 \n",
"_________________________________________________________________\n",
"conv2d_12 (Conv2D) (None, 3, 3, 128) 147584 \n",
"_________________________________________________________________\n",
"batch_normalization_12 (Batc (None, 3, 3, 128) 512 \n",
"_________________________________________________________________\n",
"flatten_1 (Flatten) (None, 1152) 0 \n",
"_________________________________________________________________\n",
"dense_1 (Dense) (None, 128) 147584 \n",
"_________________________________________________________________\n",
"batch_normalization_13 (Batc (None, 128) 512 \n",
"_________________________________________________________________\n",
"dense_2 (Dense) (None, 1) 129 \n",
"=================================================================\n",
"Total params: 640,705\n",
"Trainable params: 639,009\n",
"Non-trainable params: 1,696\n",
"_________________________________________________________________\n"
]
}
],
"source": [
"model = Sequential()\n",
"model.add(Conv2D(filters = 16, kernel_size = 3, padding = 'same', activation = 'relu', input_shape = (96, 96, 3)))\n",
"model.add(BatchNormalization())\n",
"model.add(Conv2D(filters = 16, kernel_size = 3, padding = 'same', activation = 'relu'))\n",
"model.add(BatchNormalization())\n",
"model.add(Conv2D(filters = 16, kernel_size = 3, padding = 'same', activation = 'relu'))\n",
"model.add(BatchNormalization())\n",
"model.add(MaxPooling2D(pool_size = 3))\n",
"\n",
"model.add(Conv2D(filters = 32, kernel_size = 3, padding = 'same', activation = 'relu'))\n",
"model.add(BatchNormalization())\n",
"model.add(Conv2D(filters = 32, kernel_size = 3, padding = 'same', activation = 'relu'))\n",
"model.add(BatchNormalization())\n",
"model.add(Conv2D(filters = 32, kernel_size = 3, padding = 'same', activation = 'relu'))\n",
"model.add(BatchNormalization())\n",
"model.add(MaxPooling2D(pool_size = 3))\n",
"\n",
"model.add(Conv2D(filters = 64, kernel_size = 3, padding = 'same', activation = 'relu'))\n",
"model.add(BatchNormalization())\n",
"model.add(Conv2D(filters = 64, kernel_size = 3, padding = 'same', activation = 'relu'))\n",
"model.add(BatchNormalization())\n",
"model.add(Conv2D(filters = 64, kernel_size = 3, padding = 'same', activation = 'relu'))\n",
"model.add(BatchNormalization())\n",
"model.add(MaxPooling2D(pool_size = 3))\n",
"\n",
"model.add(Conv2D(filters = 128, kernel_size = 3, padding = 'same', activation = 'relu'))\n",
"model.add(BatchNormalization())\n",
"model.add(Conv2D(filters = 128, kernel_size = 3, padding = 'same', activation = 'relu'))\n",
"model.add(BatchNormalization())\n",
"model.add(Conv2D(filters = 128, kernel_size = 3, padding = 'same', activation = 'relu'))\n",
"model.add(BatchNormalization())\n",
"\n",
"model.add(Flatten())\n",
"model.add(Dense(128, activation='relu'))\n",
"model.add(BatchNormalization())\n",
"model.add(Dense(1, activation = 'sigmoid'))\n",
"model.summary()\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"_uuid": "1d877d3ab220d734dd72e36e28a969004a84ebcf"
},
"source": [
"## Training routine"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"_uuid": "08bac7a2269ee68afcad1e9b451d89f298038c64",
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/15\n",
"2922/2922 [==============================] - 600s 205ms/step - loss: 0.4041 - acc: 0.8209 - val_loss: 0.3393 - val_acc: 0.8531\n",
"Epoch 2/15\n",
"2922/2922 [==============================] - 251s 86ms/step - loss: 0.3244 - acc: 0.8613 - val_loss: 0.3135 - val_acc: 0.8666\n",
"Epoch 3/15\n",
"2922/2922 [==============================] - 253s 87ms/step - loss: 0.2791 - acc: 0.8837 - val_loss: 0.2503 - val_acc: 0.8995\n",
"Epoch 4/15\n",
"2922/2922 [==============================] - 250s 86ms/step - loss: 0.2445 - acc: 0.9010 - val_loss: 0.4375 - val_acc: 0.8363\n",
"Epoch 5/15\n",
" 300/2922 [==>...........................] - ETA: 3:21 - loss: 0.2201 - acc: 0.9082"
]
}
],
"source": [
"from keras.optimizers import Adam\n",
"\n",
"model.compile(optimizer=Adam(lr=0.0001), \n",
" loss='binary_crossentropy', metrics=['accuracy'])\n",
"# model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n",
"\n",
"STEP_SIZE_TRAIN=train_generator.n//train_generator.batch_size\n",
"STEP_SIZE_VALID=validation_generator.n//validation_generator.batch_size\n",
"\n",
"history = model.fit_generator(\n",
" train_generator,\n",
" steps_per_epoch=STEP_SIZE_TRAIN,\n",
" epochs=15,\n",
" validation_data=validation_generator,\n",
" validation_steps=STEP_SIZE_VALID)\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.plot(history.history['acc'])\n",
"plt.plot(history.history['val_acc'])\n",
"plt.title('Model accuracy')\n",
"plt.ylabel('Accuracy')\n",
"plt.xlabel('Epoch')\n",
"plt.legend(['Train', 'Val'], loc='upper left')\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"_uuid": "0c15a464419e0cb98f94aeea03aa3433435ad370"
},
"source": [
"## Submission"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"_uuid": "25bd91c2c3f2c157d5c7eef968392a19050fa39e",
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 898/898 [05:19<00:00, 3.00it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" id label\n",
"0 c5cc846a1de140ee8190288a3581badd6dd5dcdb 1.330524e-01\n",
"1 88bdb91e6dadafe91aa34a0cdabca77372f9a35d 2.434933e-07\n",
"2 22eb2ea46c061772ed18ade709019635aed40ebd 3.943095e-02\n",
"3 ae9bc8e06d53b6f7e05006bbb66d69f12310dfd9 2.672111e-03\n",
"4 8916abbc63bef11a48b4b8285830697e1997f456 1.160743e-04\n"
]
}
],
"source": [
"test_df = pd.read_csv('../input/sample_submission.csv')\n",
"\n",
"from matplotlib.pyplot import imread\n",
"from tqdm import tqdm\n",
"# Kaggle testing\n",
"from glob import glob\n",
"TESTING_BATCH_SIZE = 64\n",
"testing_files = glob(os.path.join('../input/test/','*.tif'))\n",
"submission = pd.DataFrame()\n",
"\n",
"for index in tqdm(range(0, len(testing_files), TESTING_BATCH_SIZE)):\n",
" data_frame = pd.DataFrame({'path': testing_files[index:index+TESTING_BATCH_SIZE]})\n",
" data_frame['id'] = data_frame.path.map(lambda x: x.split('/')[3].split(\".\")[0])\n",
" data_frame['image'] = data_frame['path'].map(imread)\n",
" images = np.stack(data_frame.image, axis=0)\n",
" predicted_labels = [model.predict(np.expand_dims(image/255.0, axis=0))[0][0] for image in images]\n",
" predictions = np.array(predicted_labels)\n",
" data_frame['label'] = predictions\n",
" submission = pd.concat([submission, data_frame[[\"id\", \"label\"]]])\n",
" \n",
"submission.to_csv('submission_new_model.csv', index=False, header=True)\n",
"print(submission.head())"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"__notebook__.ipynb __output__.json submission_new_model.csv\r\n"
]
}
],
"source": [
"!ls"
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [default]",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.6"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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