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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"German Traffic Sign Recognition Benchmark (GTSRB)\n",
"=================================================\n",
"---\n",
"Introduction au Deep Learning (IDLE) - S. Aria, E. Maldonado, JL. Parouty - CNRS/SARI/DEVLOG - 2020\n",
"\n",
"## Episode 3 : Tracking, visualizing and save models\n",
"\n",
"Our main steps:\n",
" - Add recovery points\n",
" - Analyze the results \n",
" - Restore and run recovery pont\n",
"\n",
"## 1/ Import and init"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"IDLE 2020 - Practical Work Module\n",
" Version : 0.1.4\n",
" Run time : Saturday 11 January 2020, 17:43:12\n",
" Matplotlib style : idle/talk.mplstyle\n",
" TensorFlow version : 2.0.0\n",
" Keras version : 2.2.4-tf\n"
]
}
],
"source": [
"import tensorflow as tf\n",
"from tensorflow import keras\n",
"from tensorflow.keras.callbacks import TensorBoard\n",
"\n",
"import numpy as np\n",
"\n",
"from sklearn.metrics import confusion_matrix\n",
"\n",
"import matplotlib.pyplot as plt\n",
"\n",
"import idle.pwk as ooo\n",
"\n",
"ooo.init()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2/ Load dataset\n",
"Dataset is one of the saved dataset: RGB25, RGB35, L25, L35, etc. \n",
"First of all, we're going to use a smart dataset : **set-24x24-L** \n",
"(with a GPU, it only takes 35'' compared to more than 5' with a CPU !)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Dataset \"set-24x24-L\" is loaded. (228.8 Mo)\n",
"\n",
"CPU times: user 48 ms, sys: 236 ms, total: 284 ms\n",
"Wall time: 17.9 s\n"
]
}
],
"source": [
"%%time\n",
"\n",
"def read_dataset(name):\n",
" '''Reads h5 dataset from ./data\n",
"\n",
" Arguments: dataset name, without .h5\n",
" Returns: x_train,y_train,x_test,y_test data'''\n",
" # ---- Read dataset\n",
" filename='./data/'+name+'.h5'\n",
" with h5py.File(filename) as f:\n",
" x_train = f['x_train'][:]\n",
" y_train = f['y_train'][:]\n",
" x_test = f['x_test'][:]\n",
" y_test = f['y_test'][:]\n",
" # ---- done\n",
" print('Dataset \"{}\" is loaded. ({:.1f} Mo)\\n'.format(name,os.path.getsize(filename)/(1024*1024)))\n",
" return x_train,y_train,x_test,y_test\n",
"\n",
"x_train,y_train,x_test,y_test = read_dataset('set-24x24-L')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3/ Have a look to the dataset\n",
"Note: Data must be reshape for matplotlib"
]
},
{
"cell_type": "code",
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"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"x_train : (39209, 24, 24, 1)\n",
"y_train : (39209,)\n",
"x_test : (12630, 24, 24, 1)\n",
"y_test : (12630,)\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 864x338.4 with 12 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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ocwKZGwYAgUAAqVQKmUwG8XhcHA+Ok+CoXq+j1+uh0WjA4XAgmUxie3sbqVQKdrtd8tOZF6fnKxwOIxQK4Ve/+tWNx6cVN38vWjOLQK5m2vh/HRXiewkYNGuUTCZx9+5dFAoFVCqVH6Q8LALCy4LXRWLq/ev0kLYHWifqNcrxBgIB7O7uwuVyoVQqoVaroVarodlsCpOsWXMz1YypH2dnZ5bBqxZzLCbDrP+mn+2iudUpdlrMOTLD7npNaMDH73a5XJbBq0lOLNLpN3HaF+n0RWt4kX1iqhOvo53IZUgOLQT6Wo/rMZukClNrmPLncDgkTz4QCAjzqLEN8QAjQwS7fB/1GIGxdrbMZ2oVvGpG0+12YzaboVAo4NWrV5jNZlhfX0cmk0EoFBIHMRKJSMSr2WwimUzC7Xaj1+tJnQ7X8mAwwHA4hNvtFgfJ5/NhMBig3+/LGmQd0qJIO1lgRrR/TJZiXvViobEAfuih6YeuHzxBLL0OAgEqV3pB4/FYcq/MRb8o71BvrOsAxI/JbDaf5M/r8TomeLbZrpgbMskEDswlnM1m4rXMZjOEQiFUq1X4/f4fbEa9CVncpnM/NXgE5oG2lTG+TxHxPYvChVrZLnIk9LwvcihuyiSb92hFtGLn501lyL/R+yNY1ukerVZLCh0qlYoUJwUCAUQiEUmyX1lZkXCRDvPoiIT5nWZ0warkcjnMZjNEo1G533a7LeGrUCiEXq8nyf12u10AJe/V7/cjGo0iHo9L2PV9Hi8NfKfTQb1eFwan2WxiZWUFuVxOiu2YihAIBLC2tnYjZWRKo9FAo9FAv98XhUblr9cOwQmLJ7m+CHrC4TCSySTS6TSi0aikDvBZc48y5aDf7wO4zCumM2mz2dBut0URU0+RVWH6wjJighvTkTSB66L1oveq3jtap4xGI3S7XXS7XYxGo7nv06K/Z9G+sSIavGljrF/X1+d9M7oRi8WEUc1kMtjZ2cHu7q44/8DlumQod3t7WwqTSqUSisUiKpUK6vU6Wq2WOHMmeCRR0Ov1LI/R3MfvsznX6cZFz0DbUYIWnWqlnUxzXs25XQRyrcgim6FfM0XbMQI9svmMYmknRqfbkbyiXjbZOeppk4DQbK1V4dxSt+hrkYBiWhXvSeerEsPQNpCB1ThnOp2i1+uh1+vB5XIhHA5LahOZXm0XKDo/nfnnVnUNdQN1InNVz8/P54iBdDqN1dVVxONxzGYz0eWVSgVer1d0Ja8J4AdF6cRxjOrx/ol1dDoo51fn2N9ULINX3VmAD5U3o9E0FxhzQ3V6AT/P9+owPAdlGlFz82gvDZgHrDrcb9VDoXBsGjCa4FgrQQDCsLI4ptlsSthWj6fT6eD09FSMYCgUQjgcRiAQkHCXztXjxtCLmmNdNg+N49DXMjeNNl4mA6Srns1raoO5yIOmLEoj4D3otIEPEdMI6L+Z46WzRNauUqkgl8vh4uJCWDntGVJRra6uYm1tDclkEh6PZy4cyn2g55NzQyW9DEA4ODjAaDRCJBJBLBYTZn84HCIYDCIWi8Hn80m1sd1+WcmZTCYl74ghd66xH9srTCPQoDAejyOTyWBjYwMHBwc4PT2VLhqlUgn5fF7ea1XYVYDPBrh8dgzTk0UALkEHu3+QXSJAZ8GE3+9HMBiEz+eTdUWjQCDq9Xol3SGZTEpqDwDJWbPZLsPUDFtrdtOKkLlfBDpNJkvvNb22zL3FfWkyRbPZZWFePp/H8+fP8e233+Lp06coFAo/KDT7bYBW8560mDpVsy8EkpFIBNlsFnt7e7h37x52dnaQTqcRj8eF4dLheOrrXq+Hfr8vedK5XA6np6d49+4dzs/PUS6X0e/3xQhrVov3s+w4+Xl9jesiXCbBwuep15E28KYeXASQTVALzKehmCyw1fGZINu0Ffp1glOmFtEeMqWp0+lgNBrB4XBI9DEajSIUCiEQCMxFZzmHtLfabpmOmlWyiqLBKcfD76ZjzPx96m6maulaA4JvpgWw4wA7nTQaDdTrdQG8LMo2UyF5D5os5J7m2K2Kxi0Ey0wFYxhfk4d2ux3hcBhra2twOBwyBzp11OFwIBKJIBKJoFKpyN56X7qRuUfMf+uC/veJZfCqlYZOCwDmJ1S/Rg+KRQBcBEzQZd4gAHngDBER1XMx68Vq5plxUrUxWaZgS1P9+jfHTKEhJXAg89Xv99Hr9cRLcrvdYkSBy/YbTPJmaoPNZpNCGlYs0jjq7zP/vexmNXOuFi0w89/6OzXw1EKPlBuPYb5FTKo5Bt4HP2calpuKafyB+dAL/06lSODSbrdxeHiIi4sLCY2wOl+HZHVFpcfjwenpqeQQJhIJJJNJRKNRYYYYXuG9LdrYVo0KFWej0cDJyQm8Xq8AOrY+IcPKNlbRaHSuNQvB02AwkOR5gjntJDF/iYqW+aY0OGTHMpkMDg4OcH5+juFwKG2MyuWyFF9ZEebXzmYz6VhAY8H78Xq9YiQ1G8E9p0P7DsdlxwAz15yhad29geE/sg/8zlAoBAAC+qkPtSN9U9EVwNcBVzOCZLJNek9p4KojJtTBbO+Xy+Xw9u1bnJycSPhYF9LqOeb+5T0uIybwppipD3b7ZfFVJpPB3bt3ce/ePXz88cfY29tDNpsVdkinsvB+NQCcTCayd9fW1oRJikQiOD4+RqlUEkeP0a0PAeqLPmvqTA0q+Vz5N026MD2CqUpkgvV+5Nz9mJhMHnXyhwJ03o/JwPHvBKyNRkNy1ovFIorFIqrV6lz3Ee5JEgFk2ROJBGKxGPx+v4A7vVfM6K+OUC5jM7hHzDWl96W2FYFAQAquhsOhOE2a2dTzRh1BPMDr6faXOsdZO5185iTBiHGsjg+A3K/b7cbm5iY+/fRTtNttbGxswOPxyLNjFI7OBVNNxuOx6FBGnOLxONLpNPL5vKxZEj0cP5+bLk6njtEYjzpUM7XXiWXwStaCgBTAnILTOUUasPL/zC2rVqtSLNDpdMQwse0JPZZEIoF0Oo1IJDL30Baxjlo5ELgu46HoTbDIeHBRsbijWCwKS8SFzYo9GgCdtE1DQg+FuYQsGGDVrNfrlXnR49CKY5mNeh3wNRlKvkcvvkWGSG9Egj72uYvFYnO5oSYzcJ1X9qE5oVrM3E3+jYCD91csFvHFF1/g+++/BwBhAshUaraO4fhGo4F3797h1atX8Pv9WF9fx71797C3t4dMJiNM5aI51uDC6hj/4A/+QEDbxcUF4vE4stksgsEgAIg3TXAZCoUQDAYRCATEGHAMTHNpNBqS6qLTKNgWhSCVoS4C5Xg8Lu1TyG7mcjl0u12cnp7i/PxcigKsCJUd9xmVaiqVQjweRzQahdPpFJDr9/sFtNlsNgHtvJZmZHU+ITssMJdZhy7JtJCxpYIlCKDhcTgcltuBvc+ZW6R7Fn1es1K8b+CKSdLpBGRWdB9q874JoAKBgORCmzUKVuW6/a51CfPktra28OjRI3z++ef46KOPsL6+Ls6EZoxM4L6IwSSDy2KaSCSCYDCIt2/fIpfLodFowGabTxuyKvoezN/6eS5yTvScOBwOeL1eRCIRhEIhjMdjVCqVuXx6fX+LWNTryI1FxIHVMS4as2a9uVfZ7zSfz+Pk5ASnp6dSKFooFKQ1Em089yGJHq/XK4VDLP5MJpOy9/j8dQqiObfLRus0SDQZa4JS3Z+eY6Y9YERIr0USXIxQz2azOUeeaUjAlTOnHU8ywQR61DtWdQ3XNyMOHo8HDx8+xMbGhhSLR6NRITJ00bmec5fLNdeflqTc6uoqLi4uhAQhs677+OtnpAvb/X7/HB4ilvgxsQxemf+lm9WSkdFsKB8ivRLmDbJyuFgsisFkrhpzOciq0AvvdDpYXV2dKywxaXbNtGqwYhXc8b5Nw6E3BsNTDE3RI2HLFhbDsJ8iqXle2wSz3W5XQqydTkfSLJrNJlwul4Bg7bmYQNKKaCVPMZXwIg/UZDM1A875qFarwuawKpgM5CJDrUUrQw3oPsSoUAlpxoKOFH9Y5PTNN9/gxYsXyOfziEQiokhZdc5wkMPhwGg0kob/R0dHOD8/lz53g8EAjUZDQGw8HpfwE+/JNABWJRwOC+vPViQejwfRaFTGRWcwFotJlT0ACeuzqIWOpO7Vpx1TArtYLIZkMolkMolYLDaX18X8UM1wFotFyTNstVqWwSsNAn/PZpdpNpFIBOl0GuFwWNI4dMSFz5k5vdQbBG28Z13NTieGeoiKnvmU1EtsjUfgrg9HWSb/HJhn4sx9ZgJak03Tn9fFsMAVs6vD8QwD7uzsoFKpoN1uo9FoyPP2+XxIJBJYXV1FMplEIBCY6y6zjCza93r+HQ4HAoEANjc38fjxY/z85z/Ho0ePkM1m54rrriMR+KzosPX7fXHC6NTQAWPrIpfLhbOzM0kH0rbL6tjMebkOrOs5NAkBFlEyrYe6gsQPGToN1sxIp/l9+h5Mfb+smKBV62oy+xcXF3OpGsViEY1GA9PpVFg77ksAkmZHxu78/Fzy3ev1Ora2tqRTCFvwmfO+yImwIprwWlTXwroGpirRuWXUmPNgdiKik8Hr8G88QIIOpiZ29HsBCKvM/c3PLDM+Eh5OpxMbGxvY3t6W1DKORXdP0fvM5XIhGAxKNIP9gu12O0KhEFZXV1Gr1YTM6/V6Pyj45djM9Aodcbhpv2zL4FUngZtsoFYuZEzohTF3kL0a2fDXnFz92el0imKxKBslk8nIImLxhp4MbTxNz/ymQg9Qpw+YCmc8HqPZbKJUKqHT6YhxZy4WvUSOn4wWWRxWGpLNcTqdwlAyabndbkuBF6sS6f2Q+dHG2uoz5Ljet+n1RtKf1fMxnV4essD8smKxiH6/L3mG3W5X5sMMd+rv1ApRs/rLOCD6ns0xkXGlQ0Hm9NmzZzg8PMRsNsO9e/ewurqKVColTfI7nY6EUAh+/H4/1tbWBDTyZJ9Go4EnT56g3+9L+ocZJlx0b1bk+++/l6IxMhgMXfGEKH43mWOOo1aroVAo4OLiQkKoBME6hQe4as1SrVaRy+UQCoUQj8exvr4uff8IcAKBANLptABnHm7AZtcshLqpEFBSsbGLAaMa2gkBIOk2uv9nOp1GJpMRUKDDzmTnCOqZggDMVwcTGHLdknnRkRUAN2rvYoqZH60BLMV0phflimvDC8wbPI6J7HgqlcLW1pZ0G+BpdjRMd+/exe7uLtLptJwytqyTxXnU49Vsq812GWHa3NzE559/jj/6oz/CJ598grW1NUnJ0J8z54ksFPVxpVIRXcvCRa/XK7mUDIeaecEa5FuRRXNi9Ro2m03ScBgq10WITK9b5tofcl/m58yx6nkbjUZCAuTzecl/dLvdSKfTyGazElVl0SjrAxiqpjNer9dRqVSQz+elADqbzWJ7extut1tYeK1PFxFOVoTOKDDPvHL8Oredr2kQSUeWdpkEnF7/fJ34hmCdYFEL9RL3L3UV179V8KrXPcek9YgO52vQzbTO6XQqdQDMP59OL7vBcP7Yeo+pIZ1OBysrK2LPdfEd9x8jCyQ8rKRfWda2mlml8P8cMBdhtVrFxcUFjo+PcXx8jPPzc+TzedTrdYxGI0HcmomkAdAPWnsGnCg+VLNqzcyTsPqQ+R16IWqmg4a4Wq2i2+3KA2WRB9vuEMyVSiVhn2i8CV6j0SgymYwU+8TjcQEhNptN2FoucrLbJvtpVW7qhZtGVH+er4/HY9RqNZydncmRo3wWrVYL7XZb2jpdl29lsqxmkv4yoje4yRRzXTUaDRwcHODbb7/FyckJAGB7extbW1sIBoPSOofOls5Jo8MSj8eRTCaRSqXEiJ6fnwuT/vr1a3g8HiQSifemsVhVuL/+9a+xt7eHvb09rK2tSX4m91UikZAoAEFZs9mUcB5Dec1mc44R1vdhGncAEj2pVqsSGmI+IlmuZDIpCm9lZQXj8RjRaBQHBweWxpjNZsV5Y3g7lUpJYSMNHu+fDCnzjdlCjOCVkRC9vmiYbDbbXLWrDlFTp5lHW5OB4VxZlUVO5KKoh2mc9Wf0+4Ar/cw50d9D1igajWJjY0McsrW1NYzHl8cKb2xsYHd3F3fu3EE6nV4YNbEipp4yGS2fz4dsNotHjx7hD//wD/Ho0SOsrt6uZbEAACAASURBVK6K4QcgDjJrBHT+9WQyQbfbleLKYrGIwWAg49T7lYWWBCm6FyztyE3ClVq0jjR/m2PWuf+aGKDhZloP90woFJLuHjq1QdteXlunEejog14zHxIZMAkBra9p7yuVCsrlMur1uhQd09kPBoNzkVPd31STFt1uF4VCAcfHxygUCuh0OsjlchJhIRHCoi4z93VZ8KodVx0V5Z7RqUIA5kAdQ/oE5+zvqtMraXcYofF4PAiFQjJ31GV8Rvqa2mGbTqdLOckmiLbZbJKXSgdJ1wZoIpGFzLPZDOFwWEjE4+NjXFxcwOfzYXNzE7FYDGtra8jlcqjX63PMMq9l4kZdY8G55vf9mFieBW3I9GLhz3R6deZ4Pp/H8fExjo6OZDHSWAJXvccWsWNkKMlo6pwzvWG5mWl0eG8f2mVgNpuJwuP9jEYjNJtNGYfb7ZY8QKfTKd5/LpfD8+fP8fTpU1xcXIjHQUVJryocDmNzcxMPHjzAo0ePsLu7i2g0CrfbLWFYnfNHVskMny0r5twvAsSmAl7ErjN9gsCV3jTDProdiAkq9abk91ERfQgzyc+STdHfZbNdprOcnp7iN7/5Dd6+fQu/34+NjQ1hCCqVCl6+fIlnz57h+PgYzWZT2HjmZq2uruLevXvY39/H6uqq5P/4/X7EYjG0Wi28e/cOAPDgwQNks9m5itlFzPZNhefUsyE/849o2HXLFpvNJqCae5EhfX3W9CLFzwIDpkvQyJTL5Tkn1mazSX4kDRUjCSxetCqfffYZJpMJzs7OYLPZ0Ol0BIAyHUk/U+ZN+v1+BAIBhMNhKcDivek2LVpvcWwa1OpIC8Grfq/unrLMPjSjGOY+0GI6rDo8yc+SNdf5dfwsv4vsazabhdvtxvr6uhSkhUIhqRwOhUKia5YFPYvum/dCVj0ajeKjjz7CT37yE3z88cfC9hKMTaeXLeCYM0kHhnuJUSrN+MxmM4k+6HxZpicw7YfAkCkHmsX/kHHqv1HMEL9+Njq6oAtcaf/C4bAAO0bvFjnBJluo9zT1MgGt1bEtGiuvS11ULpelGItRKrKsBHXa4TPvldGSVColz4oMbrvdRqFQkGe5uroqNtJkRJfRpzzu1Wa7CteTFeRJfHQKgfk2UcQmZmoRI1okobhfWUzKfrAEbWxtyCJurdeAHzKkVkQfRU3wqkEpv08X0Ov8WkakGTFuNpv4zW9+g++++w7xeBy/+MUv8Nlnn2F1dRWrq6viPHM/8X45Dzo1QzuP1OE32YtL5bxqg6EXDjclF3Mul8PR0ZFUcHNha49L3yAVmm5zk0gkpPowGAzOMSc6tA/MK3yGAawCIHqS0+lUwomcXDYwJ0hjEYvdbkepVJLCndevX+Pbb7/Fs2fPfvT7QqEQjo6OJFd0b29PelG63W40m000Gg05WYihFv3ArYoJFK+bBy0m0NUeN8N0Zi4pqxo5FlZqm+CV/6aYYfVlnqG+rgYWDOsfHh7im2++wdu3bzGdTiXHr9Fo4OnTp3j37h2eP3+O169fX/s9L168wOHhIV6/fo29vT3cvXsXm5ub0k/09PQUuVwO+Xxe0hB0wYmZD2VFdnZ25kIyLPgge0ODYbPZ0Gq1cH5+Lg7kdDpFMpnE6uqqRBO09w9cMQ7hcFhC9VTwrVZLnJVCoSCKm6kUrMJnFIFNrnU+5k3ko48+kvxpVpDTwJMtYJiLhzUQqBKIMc9R5+pr5azzZU0AS8BKBoEOtRl2Bt6/l64T7RDqz+tokna69H7Q4TeucR1m5jPUTf05VyQBotEogCuWR/ebNEOGyzJa5lipr3kf6+vrePjwoTh3NOZ0MHl6DwusmC5i2h7+kDXj89Zgns87EAggm81KwSV7FS97jPGicWrRDDjv26wZ0WF0Pn92t2B3HtMpMa+/6D4+9Lnpa5lO3XQ6lRZ17KPLE6d031Omxuk9Zd6/HgPXJpnyWq0m+bSFQkFYd15fpwx+CPMK4AdYRhdCMmKn6wnIoAaDwR9EXguFguRUM2+fTj5rCJj7Sx3KPsw6h1YXkC4i+24iJBDoLDHaxPXG7yLZQN1KoMkxptNpOJ1OFItFfPfdd/iv//ovKZ7d2NhALBbD5ubmXE9cHUHVeeU6ukW9zPe6XK7fPniNRCIA5pW1ThfgMWLVahX5fB6np6c4OzuTc7/1ZzTVT6HHFolEJOSXSCQE0AGYewimcqanQk92mYWse9Rx8mngGdKngSTAPDo6wpMnT/Ddd9/h5cuXODo6utF3NZtNfPPNN6JI2+027t+/j42NDUkTaLVaMi8E8B/ChpjKArg+r+m694zHlw3r2VsTuCywIahxOBzCvlGB0Ujq7zEVomm0P8SYaPZ1MplIO6CjoyP893//N548eYLZbIatrS3EYjHUajU8e/YMT548wenp6Y3Oqj86OkKn05HiF3rqbLvE9mecK7YX4WbWDIYV+eSTT9BoNGC32yWvmiwTAZvD4ZAwHHvVut1uaetFRqdSqczt08lkIuH/zc1N3LlzRwomnU4nOp0Ojo+P8fLlSwkVsiiGOaW8D5fLhXq9jjdv3uDBgweWxhgKhdBut+Hz+bC1tTXnrJJBtdls4hwRfBIYhUIhYaR1agDBKAG6rmQHMOd80TEjmGBqgnZCPsRoapAB/LCHq2ZNTadTs2u6FRbbf1H/cd40gOVzIggwAbmZ+6zvcRnRgAC4TJ1Kp9PY3d3F3t6eFIDw+Q6Hw7k+y8wfz2Qy8l4CCp4K1Gg0BBDa7XYJXQ6HQzkOmeMngN3a2kIul0OhUJhr72P1+V3nvOh9vYhxYgoZmW7OvWboQqEQOp2O5EfqdWCG8/U9/bbkOieLlenNZlNSOgBIOJ/1H4t6SC+6b/M7dYSB72NhMHUN9+OHgnTNUpvj5JqiPeb9MMLl8/nktWq1KtEtMtEEg9oBZoSIvYw3NjYE5AMQAKsdH8oytp+kBPvOA1fPiToRuIoysdhqMpnA7XZjbW0Nm5ub2NzcxGAwwPHxsZB1Ho8H2WwWu7u7+NnPfiZpSLlcDr1eb2HUwdRLdGw41pswy5bBaywWk5sArhYevZHZ7PI0qXK5jHw+L5WGFJMd1ewAG78nk0lkMhnpm8n+fjqJmKCABSsaIPFaNFhWRHv0HCdZVxafMDS6srKCfr8vID2Xy0neFUECq79LpZKEWtlSKRwOyykXL168kLxem+0ygT8Wi4mB6vf7qFarktjPyuhlwJ0JXt83R6bi4pwwhaJaraJSqaBareLs7Azv3r1Dp9NBJBLB2tqaVDPX63VpEWL2rtVM/IeA8kXj0+Mke3d6eooXL16gUqmI4RwOhzg8PMTbt29Rr9flSFGbzSY5zmS06G3zaFWyfYPBAC9fvkS/38edO3cQDAaRTCbR6XRQLBalNyirVs0+eFaE6Tk8CINgQBvC0WiEWq2GcrmMXq8nedbZbBaJREKKuNgVgoxbr9dDJBLBxsYG7ty5g0wmA7fbjdFoBKfTiWg0Kvevi2WYZ8s8t2g0Kq2KbuIImMI9SCDNvDQCVCo+DTp7vR4mk8ncwQQEp2QDyIIQrOkuEqbx0qkii5qJ83UNSm4qJnDVBUM6T1XnSmsWlt/NcF+325XCO107oPP3NeDRc0hGifpO56f9Ntg7jokALhwO486dO9jf38f6+rq0NSMr2Wg0cHFxIUU7sVgM6+vrc+FiXpO5ocFgUNaG3W6Xtn0mK8t5C4fDyGazWF9fF2bXalEhn8n75sfUt1xDdLKoR8g2Uc/wnrmnWTdxXcTtx5xgrtdlxIxkca+RtSZAo0NJp0g7XuZ3a0ZfA0UzxO7xeMQJYWFYrVaTedEnVS4ri1IO9P5c1PKJKY1ut1sOtWEkjtEm5rHqbgLcB263Wzp92O12bGxsCODXaYa8h0W22IrwOei8fv7WdphrkOF7u/3ygJutrS34/X4cHR3h5cuXKBQK0t3jxYsXePbsGba2trC5uYlUKoVKpSLt6HTLQpPV1k4zSaab4ADL4JWhQ52EO5vNZMNxcVWrVSlW0gBLh3g0Hc+K0GQyiWw2i9XVVWnHQxDKRcCNAkC88VgsJjl+NEQmq3tTYV6Ozq9lCKvf78+FQjQbGw6HkUqlMBgMEAqF8Pnnn+Pu3bvodDr46quv8OWXX6LRaGB3dxe/+MUvcPfuXdRqNfzyl7/E119/jePjY2En/X4/PvnkE+mVms/nUS6XJS/I7/dbPk6NYobVF71OWcQM0VC2Wi1h2I+OjvDq1Su8e/cOw+FQQgiapWUPWz5P/izK/VvEDt9UNBigEnQ4HBgMBgK2J5MJ4vE41tbW4HK5cHp6iuPjYwCQSut0Og2bzYbXr1/jiy++kDUXCoVw//593Lt3D1tbW8hkMrDZbHjz5g2ePn2KRqMBl8uFBw8eIBAISLiLFZmZTGYup4nKzIo8efJECqaY3zmZTCQEBUA6CzQaDTgcDjlIwO/3C9NPML25uSled71el/7KwWAQjUZDjHswGJTkfIJTGrB6vY5kMikhw1AoJCkHTBmxImQP6bB5PB7JCdPVvCw66Pf7Asg1S0rFyZ7T/KEeIjDXzKReS9rIsnhIR314Hau6Rhtz09nSjr2u/tXpQjoXn9XLBDhkhnUVNI0Vr6ONCP9utsjhHOjfy4ieP6fTiUQigZ2dHdy5c0eKXRnCJHAtFouS0rO+vi4nnmnHnYaXLNh0OpUuEGQG6WgzJ5z6QLddS6VSKBQKcgT0/4VQp/G+mUrFjgjA1RrVqRHs/8ocXbLii56Pycbye4EfHsVr9b4pdJzZkF5HKLme9N5bxE6/zwYRtNPm81hSriEWa3a7XQHM+ns+NALCeaQuMOeTwIrE2WQyQbVaxevXr/H27Vth8XV4XM89r8eol3auCGCZIrLIiVzGXpi4S49bd24y81x15xiv14tms4mDgwM8e/YMpVJJrlMsFvH8+XPs7+9Li71gMIhyuSyRK13cqufXdGpu2nN5qVZZ+jcVEkPrZKlqtZqEbfg+rejplRG40lgyN5DHW5Klo4HSeafT6VQqStPptCS4Exz9mEe8SEiX0zgxb3YwGEhYmIwOx0MmKp1OY319Hfl8Hk6nE9vb29jZ2YHNZhPWq9lsYmdnB/fv35diL+BygX/11Vd48+aNtM5KpVLY29tDLBYT9rJer0sbGM3ULCOLvF79s4hxYU7PxcWF9PArlUo4OzvDycmJVIYCkHxJHl/a7XYRiUTmGIAfYyx+7D3vGxcNHA0j27bV63UJNcbjcdRqNbx69Qqnp6dIJBLIZDICllwuF9bX19FqtfDq1Sv0ej1kMhncuXMH29vbcmpVOBxGv9/Hs2fPUC6XUalUMBqNJO+UaQNUanrDLsNsnZ6eyr/pTTOtxO12y14sl8toNBoS1uLfc7kcms0m4vG45FnzdDA6YuzDeHFxgSdPnqBQKCASiaDX6+Gjjz6S9BwAMr5utyvhX4ZE0+k0Njc3LY0PgIBW9pFl+sVgMJAiF7vdLkwqUzL4m7mudrt9DrRq488wLdMINNNKI6znWIfTTR1o1aCYjpq+hs7lpUHRrIU2smRK2CqNRzhSz+rm7sB8f2b+TbO7poFcFpwvEha4cE1kMpm5ynFGKYrFIobDoeTSZbNZWWsaWOvCmWg0Kk4LHbhKpYJisSiHwLD9EME8Wf1UKiVpMVbEypzo95JRZYoPU5oIGJi2pgswGanTuYRa1+k1odNPTGBmVfR8A1eFumRDdQEkU1L0QRiafTWZRJOo0PfIHEgCeg0AeVKnPlDlQ0RHPPhvAlft3I1GI0mDIDNZq9WQz+dRrVYxnU6lHzYAAfmMiHAe+MxGoxGq1SpOT09lLXAtalLQdECWdUJ0pEgDVvajJ1jmcbFMIQuFQphOpzg/P8eTJ0/w4sULIdOAyzoIdu5h/1jaVh5OoeulgPmcfJ1rfFOx3nNBTQSAuYXWarWk8Tn7uHLC9A/RNhc6z4dn38hgMDh35i8nk0xfpVIRD3kymSAWi0nOjQm8lgGvnGS9wcg26vOKubnIGLOQhO3BeHQnm2/v7+/DZrvMl83n83j27Bk8Hg/u3bsHv9+ParWKr776Ci9fvsSdO3fw8ccfY3NzUxQBQ2r0zHWenlW5bm7MTcHNTFaG6QtMkajValKxqxcez7TXBUSxWGzOi/yxe9MesBUxQQXnaTAYoFgsotPpIBwOS0uecrmM4+NjVKtVhMNhtNttnJ+fo9frIZFIYH19HT/5yU+wvb2NfD4vCqbZbOL58+fw+/34+OOPMZ1OEYlEZK00Gg3Z+LVabS5krb3oZY0KhZ0F2PfVbrfL+e48OILGsVAoSOUu87jZyoxAn61eHA6HRBwITMl+shUOcFW8p0OHZMTYump7exv1et3SuHgELh1cAjAdEud36GJPFoyx7RCNBMGrLoiaTCYCfDXbyXVEA6aBHsesGUqCjWXEvJYGqroAkqCGbAnXtwauGlybn9WgXH83x6pTE7jf+R03zUN73xjJBNOpZUoYxzIej9FqtWSPBgIBicBpQgL4YXcGj8eDZDI5l9rD9+jjuHXRH+eRxX2M8lmRm+5bvcfpFLFwh/tItw3SdofORzgcFraTJyWZ5IM55+Z9LqtnNGtIG2Q6gqZom8+1TN2n21Fxb5Kd45rj+3WhGu+f7KsJXpfVpSbIN9lf3aOUTrvD4UCj0ZBCWI/Hg52dHXE2PB4P2u22RPWq1aqAQv1dk8lEusGQ7CF4BeZbkd6E9Fkk7BZgst98TpxT5mGTUadzl0wmMR6PcXJygnfv3qFYLMJmsyEejws5QPb17t27SCaTSKfTEv0oFosyFrNgS6c16RzYH5OlWmVxcXECdJWaTixnvoRuN8WbpZGMRqNYX1+XKu1wOCxhe042c2vK5bI0ou52u9JyiqweFzKZCs3w3VR0/hxDFQQc4/FYQlIOhwP1eh2np6fodDrIZDLY2dkRYMoweiKRgNvtxu7u7lwBycnJiTSav3fvHu7evYtUKgXgEkBfXFwIONTn/xIoMP9wmVyfm2xwDSD5XrbFYi4LD1IgI83Tecg6lkolnJ6eymlVNBIMQWjgbTpD2pBa3ahmeExXLzNHlC2URqMRyuUyyuWyeNW9Xg/Pnz9HuVzG6uoqnE4ndnZ2EAwGMRqNBOwdHx/jl7/8JSaTCWq1Gu7du4dIJCI9Dy8uLpBOp4Wl1+ykmSNpdZ1yg3s8HqRSKTHyPImNTBND+mQImISvWZ3Z7PLwgk6nI+wAjYiuruWe1UqdP9wv5ukvLNzb3t7Gt99+a2mMZOTogDCNgPtAO1bMwaVh4YladrtdjKM2tAQ+uv2VTmOioaB+0+CLQEvnh9KoW5FFDIo2WJrp1SE8AnKbzSanSdGBnM3mD1EgENdgVIcxdfqWzkvjWPiZZZlXOkUU1gswzYt1Cjoq0Gw2MZvN5Jx7poLQnvBe9PzRcfF6vZI3B0By0rk2u90uQqGQrA0ywSx2tNoRA7h+75rgke/jGmUFN3P8OOd0mIArQEvSJBKJzO1TM6RssuvvuycrYgIp1p3QIdAN9wFIfr8OQ+uKd33EKp3h6XQqDDy/R6ecAZfPk9cOBoPo9/uyFzkPvw3R5AL3OPei3W4XDNDpdKQPOA9uYeqWx+NBq9WSNli0lcBVLjrX8nA4lHZjg8EA8XgcXq9X2G1Nyi0zToJX3bpK21j+5jzyOQaDQYlun56e4s2bN6hUKgiHw9jY2EA0GpW2mA6HQ2zn6uqqnJLH6B/XgXYCtF6hbvo/A69m+IpKVreM0XkaNAraIDAp2WRcddI+lSsZpHK5LEfK1ut1CZOaRRjaCzTDHTeRaDQ69wBpQHR1Mj2NQqGAL7/8EoeHh9jb24PNdpl79dVXX+E//uM/UC6X8fnnn6Pf7+P8/BxnZ2cIBoN48OCBzBOLtEwg2ul0UCgUUCqVJC2Bm50KbVk2xASvmu3RfzcZ0G63i1qtNge+eCIKACSTSWES8vm8AFiezMSzxfUZ0aaS1SB22Rwtc1wcE1kqABLSYrSg2+1KhTxbPrXbbYTDYfR6PTx9+lROrwoEApI+wdSYfD6Pzc1NSRNghT/zlsfjsQB/hi91QaFVZcR5CQaDWF1dxdramoTYmWLD/EeG+Ai+6E1nMhmsr68jFothNBqhXq9LcSWfO/fyohxIvW5MvcD3sYXVysqKZfDKDgKaMWVOONc9Aai+Lw0UCNR1Xp6eQ83waBbAPM1Gh+s1IKOR1c/kpvK+vUb9QEaXBlrrR45Nt/LS/SZ1VwStL8zKaj0XdAbMZ7msaF1O0EKwyLQwGm8a99lsJsy5PmXI3CMEOXq9aTsDQFLJOp2OdGLQkSvuB33a4YeK1mmLiALaQA2izbxADZhoH3SBlz7O8zqgSsZc679lnqcGN7wOwWir1UKpVJIID+tC9D3QcTQJLe4jjlM7zXrf8bNerxfxeBzpdBrJZBKRSEScEg3ilxmjyYbqPaifA3UQ7380GkkqB0/044mK1EOZTAbFYlHqBhhJ0s+ETDL7wgLzqTzmOl/GXrAIi+uCjhrtgllg53Bc9ert9Xp48+YNXr58iV6vh729PTx8+BDRaFRS8ZjW9ebNG0kXu3PnDtbW1gS3URdrZ0OnL1gp2F6KeeVv7R1xQkyWVVe0kT30+/2Ix+NidHkMp6bEaYDr9TpKpRJKpZJsDj5czU4Q0HEza2NjRdgdgOPiKSwM31DBkR399ttv8b//+7+o1+vY39+Hz+fDs2fP8OzZM8lrikQiqNfr+J//+Z+5bgEEOjTMuv8dj1xlk2YyIzovBbDO2PEzPxZi0kaN6QJkeFh0wROoSqWSnDLGzcdCITod2WxW2HNWieoKd1NBLhv+4TXMohPgar1wrU6nlw3Q2+02RqORhO/i8TgeP34MAFhdXUWn08F3330nTOra2prMI/NLySrok390iAyAgP9ms4lIJDLXNmyZdep0OqXdz9raGoLBoABOOnQmE0owubGxIS1a3G43zs/PMRgM0Ol05grqTNHgh3NqOhzagNARYKGnFdFzp/UM74POCJkozbjRyQQgzI7uWarTNXi/GsRqVsIEB9Rt5ppdZnwUbTTM6/F+aXDMwivm37FAhqyQNvxkwEwAy3Hr0KQ22h8KXjm/nHeCRYboaSPYM5rRD6aMkGEk0DTTbBYBWP3sCPgYwjXTL6iHmSqzDPOqxSQC9DOm3mRYmXNAY87nq6NrXOPM46aDzfQBkzjSukRXkfP7P4R51eCVzGuz2UQul8PJyYkUKpFFZQqRma4D4AfzYuY6Ltpb7DvdarXmcoRpEzm+ZTrWLHLM9TW1k8r9M5td5ePSseQ64joDrk7UZMSRe9RsA6YdVb1+TCeX92BFOA6SfFz/HAPXGjsr0U7E43GsrKwgl8vh4OAAL1++RLvdxkcffYTPPvsMfr9/TsefnJzgzZs3GI/HuH//Pra2tpBKpaTrDp1H4IftyTThcBOxDF51OIkPmMpAo2kdguOmZRP1SCSCbDaLjY0NpFIpyU/iYMbjsfTOLJfLYvBZOcqB6wXGTWwqa6uggK05SLHze2kYGebqdDpyBCxzWYCrRW+3XxZyMZzLsZCF06d2AFdhLwoVA7+b6Qp6sesHblW0d7kIuOrXCRCoLAn6zs7O8Pr1a4zHY9y5cwebm5uo1+toNpuSC9vpdOYaNTOU3e/3RWGb92X+tqpwF7GAFO3UjMdjSTnR3q/T6cT+/j5isRhisRguLi7kVDXeDwEDuxgwbYXsMkOidDpY6UzGgiFgE7zfVDY3N6U6dXt7G6lUSrx5Hco3w778N40h17NuA6UV5iLWkYyAmb+kk+/5WcoyBkUzRwyt0giSrWIhI0/bYosuPic6hzQIi1ID9Lxo4KadaeoT/n9R5GKZMV7HvgJXRpIsK4A5QoDjoVHk2Gw2m+SaUWfq9IvrGJ3xeDyXc2iuyWUdZT02DSaBq3xHdkoYjUYCanu9HkqlkhhGnYeoQQavr1lG/p1rXTOa5nPk2iXTb1UW7V29puhQAleFWmxnRyBI+0LHl+uP6Tg6tYNMMRk/hs75vXo+9N/0c7c6PjNiQeDY7XaRz+fx8uVLlEqlufVKkERQ9KGO0HA4RKlUgs/nw/b2ttyXWZm/TO65aXf037ln9L6k/SAYNK+jgT6dqFAohMlkIk6Szltmf3ztNOr1o5/bhzxDfc8ulwvD4VAOgaAO6/V6CIfDiEQiUlCez+fx5s0bKRRm+g/1is1mk0gKD6x4/vw5Hj58iGQyiXg8jmKxiHa7PXfalxmZ572azswiWQq8LgotaYMJQDYa2SXmtzKRlycasSoUgOSntdttqWJnfqvO/TC9b4pmYpfNgWFYgLmAmuWl8mU/PgKf6XQ6x3z4fD5kMhlsbW0hm83CbreLouG1dfWvrpKm6AIYbXRpYBd5sDeV6z5znUFmeIgArVKp4ODgAM+fP5dUCOa8sudpIpHAixcvpO9roVBAPB6Hy+WSti/MuzSNjnl/H6L09Doxq8mBH7IRXD+9Xg+1Wk2MSywWQzabnVsHurhDN7+32WzCLtFwkoHXJwh9yBin06lUbTNdQ4e6NVugWQAqynK5LICH/YTJBnHOtDNI0EhjpEEtQQVzs7USYp7xMv0ztWOs1wXvhSd9VatVdLtdUaA0FgQuOleUeb66BRW/SxtYMz+U86r1ip4nPcdWRRtO/aPXq2actQ6w2WwC9riXmErAaMlgMBA2XY9bX4fXMhkf82fZ8fGH0Tc66ox8tFot1Ot10bdsQUj7wCiVvg/tcGhDr/eSTiHQDKWpb66zKTcRU2eZ98hnCVyxcGSsCLaYr03dogkZ6iCmD7B1Fp8x7aIGOYv06IeQHeZ1AEg+KtP6mM/J1ks32Q8myAfwXnvA8WsHTqf+8GfZMVG080P9pqMtphDIdzqdOUdJPzeeRMVONjqXlTUuBMU6DYJjNdeVFdHX0EWcZM6HwyEikYhEQQBIHni1WsWbN29w4qcRZwAAIABJREFUdHSEUqkEr9crJCLXANM4eYjVyckJvv76azx8+BA/+9nPpHsSdWW/35djoE19dNM1ahm86grURUaSHiONNmn0SCSCRCKB1dVVZLNZKS4BrhYK+/HxQdbrdQGuWnlrFkjngJlpDMtsVi40zfrwunpBcS502xLgim2KxWLY3t4WKv3Fixeo1WrIZDJzITwNQnWyOsVkGfS8LwvqFqUN6E2hgStBNI1Mo9HAu3fv8O233+LVq1fS95a5ThsbG9jf38eDBw9krDyalCH1VCqFVqslG525r+a9LDtGPnPNlvH/um0Qc890eyWv14ter4e3b9+iVCoJQKTBoOdIQMT7pcJmmzgyKXQ6eOJWPB6XIo1lIgOUZrOJRCIxBxgXgQ29VqjkWbTGCuy9vT3JMWQRm943GuATTOm/c78zj1eDhVarJdEJq6LZFO2pz2Yzyeklu0hwTCeq3+/D4/GIvmLBCw8t0IcSEBwwvUDn4PE7uS/13jH1w03YAi2LHFDTmJv/1rqHBhvAnDPM58wfOvPcaxw79Q3vxUyVMO/xQ8Grdhq5NjudjuSO62Mxtf4Frnpv85703tOG2XxN/+YYNaDlvtB61Ypcp0fNsROUss0ibZ9+TkxD0qQPnSPgyjYxj5fdQuigAFe6T0foFoFrq6KdAm1Xub9YnPQ+J4DED/eSZpP5Oa5LrlHuRRJE4XAYyWQS4XB4bny6rRbnwoqYDo2eN+306Sgzc1c9Ho/kvtZqNZmf6XQqzoXT6ZTC5Ww2i3A4PBfK54FHJEQ4r4v23zJRHn0crB5zq9XCycmJpOuwlaXf75d7PDo6wosXL3BxcSGtRAFIGmOv1wNwlcq2urqKV69e4bvvvsOXX36JbDaLnZ0dbG9vz6Xq6RoDjlHjux+TpdMG9ObQxVksxmJogwsuHo8L65pIJOS0HAK/8fjqVJXz83OUSiUJh+hUAa2QyGIyfKsNybLAgIaMnjCvxw1EgK7Hqptmc9HF43Fks1lMJhN89913+NWvfoVCoYD79+9LDimLaLghaFz6/b7kfekWWR/CKGvRwOY6g8tnogFCo9GQnq6np6dSqEVvjSkDZCmZE1upVFCpVHB2doZEIoFGo4FisSjVqPrEnOvuxYpoRajHR5BFJcdKeKZyzGYzSWE5Pj7G4eEhAOCzzz7DZ599hlAoJOkfbB0CQHK47Xa79L4ly8xxMfIQjUal+4C+N6tjzGaz0teSz4oOm66cJ9PD501nhAn0KysrAoJpNAi8aUB5UIDDcXXG9crKijCgBOf6fHYqNRZ0nJ2dWRofn9cig6kNFP9OJajbIHFPUk/wWTOvUO9ZXlOz5zr3VwMpfX98jUbXqixi6TSDSF2mv5/MRavVkv6XGhzqHDbKZDKRlloEBjocqh1/3st192lV9DNcBAx05TodCBp79i42o1XmvZng09RvXKM63YfhbQ32rYICDTBM0euX38vWgTovXkcXdCSDIJZOCu+TBwCwrR+dN9oezrm+r0XkgJUxapvB8TB0nM1mMZvNJDLFNcU1N51OxXnkIRG8LvWMjjLoHuvaVjJqx+gedQ3fw7W0DPNKMkIzgOb4CbK4ZnS7MzofjDRpwovAmtfRDhqv7/F4pJe1HpcJXjVZaEW04zebXUVye70ezs7O5FRM2qhMJiN9hd+8eYPXr1+jVqvN1YzwIJBqtSpj3N7exqeffopXr16hXC7j66+/xu7uLlKpFOLxuDha1N9M1dH6/aZpdEuDV800cjB+vx/RaFSa7/PhsQ8q+/pxUeqHW6/XkcvlcH5+jmq1ik6nM7ep+TC5wAleCSBpXPUDep9iuU60ItcGhG24mK+4srIigPz09FTexxOxHA4HstksAEgDf25szpv2OE0Q6fV6JVeEi4RgXoe+l2EmF82LyQLRa2SPz2aziUqlgvPzcxQKBXQ6HfkslSp7iJ6engpwD4fDCIfDkr9L9rZQKIhC04BD39+yDLNmXs2/c+21Wi3E43E5PII5SEzt4IlQXNfhcFjyKxuNBtbW1uBwOKS/6ubmJlZWVlAoFFAoFJBIJKSlFhUj16pufK/v14r8+Z//OQDM9WgleGX+Hh0gFoi43W5pAs+jhv1+/1wLNn1+OpnoTCYjhXrr6+uIx+NwOBxSqMbenWQWbLarFk6MmugjS28qnCdtOHgtNkJnP8TJZCLHS/M4aSpEzgUdF6bjsChGF37o3FjN1JnMpwYA/A6r+ZLaGTcZco6VekgzrmY+K9MhdB2CLjbROowOsmZgCTT0+LVDQPlQ8MoxaXKAhXwEcp1OB8PhEB6PRw6uoVH/MQC9CLBxLOywQYfVbMmk+5YuO8brmDIAMla2SrTZbKLTadc0sNHPiZEQhpmZF8wwLdNyeACKjupZjQYsEpP14370+/1yCmEmk5HoB/WKdg40668Zcp1/rh1B/kynU3GCx+Px3KEbfI4Erzp9wKoMBoMfpJTpZ6rBJ5086qBoNArgUl+R7GEdBfcP/z6bzVCr1STflCCQ3QrYQo6piYvssga+VkQ7atRZk8kEpVIJ+Xwe8Xgc29vbSCaTWFtbk65BR0dHuLi4kNxrCpnofD6PUqmE+/fvS0/0w8ND/PrXv8bBwQG+/PJL7O7u4tNPP0UsFpMcW+JGM73rplEsy+B1kUcOXCWix2IxpNNpaSvEMB7PgmdInoqWTe+ZKsBz2M0cMi5yDpAsi1YIGsXrzfahYwSucjs6nY4A8rW1NWSzWSlaGg6HCIVC2N/fR71eRyQSwXQ6RSqVwubmJnq9noAJn8+H3d1d2GyXpxmZldShUAiZTEb6hFLJAVfNfZcB55wTrejNPL7pdCoGkmCt2WyiWCzi5OREettSer0eyuWyGFOfzyftz8bjseR3MS+ILC49OzPkZebiLTNGin6WKysrcuQwi9ACgQCy2SzW1tZQKBSkh93+/r60TUun09IajYcvdLtdZDIZfPrpp3C73dje3kar1RI2grlNPNqw1+sJeNYFgcsUiADARx99JGyDbnI+m82kopnM/Ww2k+Nu7Xa7pDa4XC5kMhnp1ccjnZm/lMlkkEgksLu7KwdMEATTmWEja54yxigEwYDL5UI8HsdwOEQ+n7c0RuZw0pDp8OB4PBbGnjnXBNumI6QLdggYWEyou3dow8/0B11MoMNbFG3YrDohmk2l46H/rwt3+D10oJlvD1yFBDX4XeSc6hxmAkhdVKvzFLXh/RDW1bwHzXBPJhNx6KjPWADJo5sTicTcyVrX7Zfr5p7rIhKJCGjUPaap63jcqNXc7PfpJr7G9CQ6uh6PR/aIdhaAKxA/m83mnItFebAEcLFYTICrPixGA65lI5EUE5iTyWZbqEgkIvUiPBpUHxTBZ3sdo2/+8LXJZCKHTLAokw46dRHXlVl3Y0WIKwjszPsDrvYrHUHWNaRSKXHK8vn8XC0M8zlpbxjV4T52OC6P7WZxMI/Spr7TukXPndVnqSMrXFfUG+12Wzob2e12pNNpxGIxdDodHB4e4vDwENVqVbrnmPfV7/fx7t07fPPNN7h79y6y2aywr4eHh/jmm2/w6aefYnNzU9rksbsIdStTL6jvbiKWwavX6/0B8NFKNhKJIJPJALjM+6SCZM6S3oD9fl/CyeyBRuaHG5QhevNB2O128Xpisdhc30AaHL7XitDL1ekQVKz0AGmw2aOWFXntdhtutxs7OzsolUoy5sePH8PhuGxqzyM3Y7EYPvnkE1lMxWIR9Xods9lMQFY2m5VuDHrcZqGJVbnOwOnFyDw0hqQYas7n81J5T+l0OlKFyGrKRqOBSqUi4WXgEuQSOPEkKrYiM3P2PkT0+qT3z6rstbU1XFxc4PT0FJVKBV6vF1tbW3j8+DG+/fZbOc5uc3MTa2trkiP67t07HBwcoF6vIxqNSlPq3d1dYQNms5kcGMCNSpaXp22x0T8dN867VZlOp2KEyT7olBZ9shdZAObv3rlzZ87IseiiWCyiUqkIC0HjwKgJ87rK5bK0SAMghZiBQAAABBzZbDZhR+LxuGXwaubyElDpNnNsSq+NIytqCQp0zipD1Ox/qytf9fohG0u2wQxtacdK59kvK7y2mavI1+hU8v71me66PyPXgAYMGhjqok8dNdPj43ya+c3LjksDn8lkMncgBgAJ57tcLrEZoVAIiURCUmyWFa0v2Y1Dp0pMp1M5PMTsUWpljPo3hXOrHdpgMCg6Vqd2cB0RiHHuze4SfMZkrHhCmO77Sn1rgtZlwat+ftq5Y6oR71E7inzdfHaLyIhFwJXzZ7b803myzPcnS0lZZr2Yzh/tI8ek83DpJLD3bCqVQrfbxfn5uRSu9Xo9wTDUSZpRJDlHIotOeCgUkkK+Ra399HxZEV5H/1vrDUo4HEYqlYLD4cDh4SGePn2Ko6MjSYXQaxCA1LFUKhU8ffoUjx8/xuPHjyWvdzQaie385JNP5CAfEmPEeCSE9L39mFgGr7o7gKm8de6n0+mUnqxcENxYDP0RuJ6fn4vRpBEgw8IfLhrdLiQajSKVSiGdTkshjAavy4RN6IHxe5irxPw/tn5KpVIIBALY2trCzs6OpD5UKhUxljxqNhaL4e7du6Ionz17hs3NTVGqLIA6OTmB3W7H+vo6dnZ2sLa2hkAggNlsJnNjNmhfFrxq74nCDcxiHoaKdXiNRiAUCskzohdF4b12Oh14vd65kNzp6alU3vd6PQF1nGPTaOvfNxXNJANX7XGoaHw+n5wSlkgksLa2hocPH6LZbOLt27c4OzvDdDrF6uoqAKBYLOL4+FjAl81mQ6lUklNyaHDIMm9ubgqoLRQKKJfLGA6HSKfTcmoU19myEQI+C3rwbGXGXF7m2DIFp1KpCBhlj1memJbP53F6eop8Po9Go4HJZIJ8Pi/5k51OR54328NVKhVMp1M5Fz4Wi8Hj8cj9sF1dMBicO+rQipjMJP9GxaaL3vTa7XQ6C/e+drR1PhmfqcmoMpqiCwt0PqrWf2TRrIi5zhfdh3bEyfjoCnP9Og2kNnrUMTTyOuyqQ4gcH4tkCFI+lHE19zB1BY8QHwwGkjrkdruRSCQAYK4rhJ4vMy2AIJQpL3SaCO50WFIz8rwW90C1WpVCxg8V7YQwQkhgQmfePDRDr0c9TrOoRYNdvk59qnu/vi8laZlnynnmmBjloD3SZA/XKIGmvm/aE/033qdeK7yejjKQReecsoE+Uyt0sbVVIXbR+1r/n3uD9ox6kU5Jt9tFtVoVXaAPidE6ij8cg25JlUqlhPCgg83v1npnmTQz7RzredaOK+t0EokE2u02Xr16hadPn+Ls7OwHJ7pRPxJoknXO5XL46KOPpOUoANTrdRweHuLFixeSaplMJoVR55j0z/9J2oDOWzM3GL12/thstrledFS+3W4XlUoFuVxODKb2rvQm1t9FJczmualUSgxnOByWpH4NXq0aTSpCHSpkzqDP58NweHmGbzQaRSAQwPb2Nh4+fIizszPUajV8//33ohT1fNGzz+fzePfunZxuZLfb8fbtW3z33XfI5XKIxWJ48OABPv30U8mZJQNKz1Mri2XBKzBfIKKVKMPcBEI0dn6/H9lsFk6nUxQlw236iD9em5XEmtEpFAoIBoPY3NxEu92W3MtQKCTMnRlCXUb0ZuU9cQw8ro+9dDOZDDKZDPb29jAcDvHu3Ts8ffoU33//vQBNtgNxOp0YDAY4PDyUIiSG0FKplCSnJ5NJDIdDHB0dodvtYm1tDevr6xLi5ud4r1bXqd1uFwBAR4mKlI4AGVE6Vc+ePcP5+TkikYg0R6fhpvEm80Q2vV6v4+3btxLqJDD1eDxyYAMPGQEg+1uvHQCWgR1F6wLNQNCYajaULL5mTvhZvlcbJx094h7Qa46GiEZYM0ymwV5W15hhUq3A9Zg5Pho1nQur2TYyxgSlbMBP/cVxESxpI83v5Xv0/PP+rArHSPBFx7harUq3C56kxUiVBt2mLAKwTHnJ5/MSESJIZ26oPhRAM06MKLEH5Yc4IAQa+pnpYkbmcJssnDk2PUbNOJrzT1DOQrBgMCgHPRDEL7MuTTEdEJ2yx9OXeJ9maoMGbKZDRBut50/Pg85F1/uZUddgMAi/3y/5o3S8lrGJjJzx+8mMzmYz2fdsgzkej6VbjsNxWcTKVMnZbIZCoYBarTZ3Lb23bDab5LeyiJ2gkYdpNJtNSbvSn6Usk6KkdQrn2Ol0Sgrk3t4etra24PP5cHJyglevXuHNmzdSmH3deuJ8U//q2iQAQlr95je/kcOMVldXBTNop1HvkR8Ty+CVHr8GqGb+pQ4r0MNk7kq9XhdlUSqV0G63xXhoMEWmVV+TioCnc7HlFvuF6YesP2dFqCh0yEC3SaIX2Gg0EAgEsLa2hgcPHsBut6NQKOA3v/mNsFcMhzGM2e/35Yjb09NTnJ2dYTQa4c2bNyiXywiHw/j444/x+eefY39/X05SKZVKouSTyaR0ali0qG8i14WS9KbVoVDmuoTDYWz/fwndDF1qJoihMC48LmY+VxZs6bxEMnUEwIvSB5Yxmnqj6ut4PB6sra1hf39f2FSfz4dEIoFPPvlEqnuZ47tIyCpTCLyTySTW19eRTqexsrKCer2Oer0Ot9stCop54DR0yxqWk5OTOTZ4d3dXQohs38Jc1FarhV6vJ54xgRidLB3x0HuZ6Q4agPCIxlgsho2NDaytrUmLFDo9BMBkSfSpKlZEK1pgnpU0izz4jDUw069r3aL/r4EGv5O/+W+dOkDdZn7+t9ngnqLvUzM6mi3la4xw6VoBOjHhcBjRaBQ+n0/YLAIOk8nhvjEdP87/suPT4VLmS/PURObE636POjTL3HCOx5xnDXqZV8/UM6ZgpVIpeUYc72g0QqPRwPn5OS4uLoQgWEb0c6SjTluiu9JQCIZMVs4U/s0EP1xzBFaMRFKP6q4RfI7LkgGmczWbzSTnlCykTlnQv2lDtZNk7mn+1uCI+khXt3PMLMpkHrO2/cvoGWA+1UA7jdpxsNmuWu7xQJtutyt1DBsbG1JoyBQspqJofcRc5XQ6jVQqJVX+LpdLiqTZt1qnTn2IaL0HQOy0x+PB+vo6VldXhTAbj8e4uLjA2dmZOIO6LzEPm+J6I8NKYpG1Ijrvudvt4vDwEAcHB9jd3cXdu3eRyWTmDjSaTCZz7ch+TCyD13q9LsqSuXEM75DupmLkpBEAtdttqWwrl8vC0OiFrDeofmA8DYipAplMBvF4XJr9shqRoedF4OwmooE3Fy2PdGWBBABhP8LhMLa2tsRbqtVqePfuHdrttlxDhzB1mwiGOKvVKgKBAB49eoSf//znePDggeSdkDUDgFQqhWw2K0U4wDwTvozoudcMDD0+GgLmPkYiEQl78b1UVlRgZEP06S88fKLf70uvPrZNGY8vD3xgYR97ptKjswrQtcI32auVlRV8/PHH8Hq9+PLLL/H8+XO8fPlSipf4vkgkIikEzM0xxePxSNrI9vY2dnd3sb6+jmg0KoaXnTZWV1fnOgNQzDDgTeVXv/oVjo6OUCwWYbfb0Wq1EIlEkE6nEY1GxbBFo1GZx8lkglwuh3a7vZBZM5Wknj8a4XQ6Lad60Xlk2I6nxEynV21kuD4+RK4z7JpNYIifa1CLBmE6nLoINCxiFZibrRv8EyzRGNFAWxFtyHkPGjRrg272odXMBgEr9wyNHiNG4XBYco9N8GDm2Oq98ttg7Ux2mTaiWq0il8uhUChIFEt/12QykcgMjwONxWKIRqM/aJtls9mkm4DdbkexWJRuDKzYZ0W4rmJn542TkxPk83lZu1bkOmaae4b7gEVpAATsEMya63DR70U/GogTOIRCIakdWTSWZUDQonsDIIyvWfCmux7MZjMhcTSA1dfWAB64OvBFH91Nu6xP6QwEAgKc9OeXcUA0cNY6T4frdcE0I1FkYQnq1tfXEYlEkEwmJdrKzkl0WAjA2faLdpAkDgtxdZ6t1gXLjFHjKs7xYDCAx+PB7u4uIpEIPvnkE/j9fuRyObx69Qq5XE6KyoiJSDzxejq6xvkgMUPMxjlk+sCbN2+QSCTmOv3Q6aA+v4nesYx8arWaeB30KKggyAJo9k4ry9FohFarJWFKXZS1SIHT42JuCOnmtbU1OZ2Li4cPgkh/WU/FDBFywXq9XsRiMfT7fQGUPNkok8lIGJ0AjSFXMiIaiGlmwWazYWtrC/fu3cPPf/5z/OQnP5FiH+AK7JL95dGXDAt9SHI6/20KGTwW/7ClB3BlfLR3b+b8mUUI7EU4Go2kLy8BF3CpzBuNhjAU3MxaoVgVc23xfmw2G5LJJPx+P8bjy97Cb9++xZMnT1Cv15FIJPDxxx9jY2MDOzs7ePv2LXK5nLQ5oeMGAKurq3j06BEePnyIbDYraQ90SjweD+7cuYNsNittevS9mIUBVuT58+coFovCinNN1mo1tNttYWC5jpnzF/h/7L1pdGRbVh74xSDFJMWseVbO+TLzjfV4QC8oQ4PB4Aa6q71YbQyFMWAutLugmIoGuigbM7jtpgx9mUwXQ9FtYzMs6IYyhqIo6pUpinr5Kt/LUcrULIWGmKQYJUVE/7j6jnacvKFUhKRMZb7Ya2kpMxRx45x7z9n7298eTleXKg4kUy5DmJLl4PtpMKLRKPr7+zEwMIDe3l7laNAx2dzcVMqOzdgB1DWybkYOYqTk37n+2AJL6h6uXYI66WjphpTXlL/5bypmWaFvByianR9F6jwZKXA6nQqYy32nd22R+5mhcb/f/1BrNvkjK9v5vGVLquNwPOR6p1QqFSSTSczNzamTFpmHrdcrEOgyxYUdPOShBayRIHBiXQX1o8wZpSEtFotYWVnBgwcPMD8/j2QyqarZW5mjDpwIcAhQ5KlQsnhZit1akr910CdZVQkYfD6f6uIiwdhRCB35vXI8DN/TWWe7MzJpHB/rUWSKGkW+j0QX2zOWSiWV/sLuBtFotE6/cYzck606XBK86vZRf1YScLIzD5lMdhQiXqDDSR1MfKFHwNgmjmtH4hAJpO3G8yiRBXXUg/l8Hk6nE+Pj4+qnVCrh1q1b+NznPqe6DHAvejweFAoFVcz1+uuvq1RAwCr8nZ6exmc/+1mUy2XV0YbfxyPlb968if7+fly6dAnBYFClM8lWaKwxOkiaBq9E7LIIhxOSiJwLkR4Tz9/mCTfsiaaza1w0DI2RhmdhFtsasZcq6W95NJzMaWr2IUsmk8qBBpA5Nmtra1hbW1NhC7/fj+HhYVUMMzIygtu3b2N6ehorKyvK85I9BJkrMzg4iAsXLuDq1au4ePEihoeHldEng83qasnktqqI7ESCRN5zKgzJZPFe5PN51f+VG44GA9hXJDLkwdZGsVgMDodDASiy5Sx84njk82t2jhIIyH/z2lQkExMTSrlcv34d8/PzeOmll3DlyhXVAsbj8WBkZEQVRtRqNZUf6vP5FNsaDofVhqWzQcMse75yDI9i/B4luVxOrQNeO5fLIZFIqKI0aczi8bhan4lEQkU/CDhlBITzZmEew67xeFwZDlaB0yFl/mKtVlN5loyC8FrNCtkKWW1NkQyh3P+6PqGzxb0njZPMI7RjuXgNAjvJtso1qhu8VkV3ZuQcZMqAZM1lhIJ7TnZ3IfhlGJJAT+bPMgxMRlmuU47rqHOTQkO2tLSEmZkZle9HAoR6jk7T5uYmCoWCSjWzK2KiXZIhR+Zksu+vXC888vLOnTtYXl5WOe3NitRZdG6r1apy/GgjpF2Ra5rjpzzKCZI6jd9PvazXKUhCQWfumhHJ2kk9SuKKefyMUpBQymazdcWFrEvhdaTzyZoXSXAxNYv52ixs4uEVXN/SSTlKKp0U3Xnle6TukM4WOxGxRShZR+o9Ca7pCMs1y3ukH58s5yad5lYjBLwGHQSHw4GBgQFMTk4iEolgfX0d8/PzWF5eVid+8dnKXrgLCwv40z/9UzidTmQyGdXvd2VlBa+//jqcTqujxsDAgNrTnAN7vTNy3dvbi9XVVeWkHjadrmnwyo1ICl+CGxlWk6Bhd3e37khGhrPkYQQyV4vv44ka/f39SsExLOr3++sMjlwcMpzYikgjzpBkpVJRofNSqaRODapWqxgfH0ckElGJ25OTk5iYmMC9e/fU6RU0FqTHmWc5OTmJ8+fPY3JyUiVsswI2k8lge3tbHa3r8/nqqtRbVUbSQMpNKkNQZG6kd08FybAblY0scJOeInPUfD6fYh8YxmavUAIr9l+VFeS6Q9PM86OXKecpQya1Wk2x92R3EomEAub0/Kgw4/G4Yk+TyaQ6Ks/tdquDCQi2wuGwihBEo9GHFC1QX/zQap6d9Mg3NzcxPT0Nh8OhGKjz58+ro20lg8ooxsbGhso3klXWstCF4DUejyujwTHLaAMVG0OiElxQkTcrPABBHuZhx07JYgpZNSzvs26M7IyT3fWlPpFGROo5u+4FhxX5Gd3Zlkw/jRzXsyxAo3CMkkAgKJDz5d6V+4xGU+buknyQVfHNirzXMgpXLpexvr6u2NdoNFp38hfHxP6hLpcLqVRKMV16WJzPgFEjjpu6jPMisJqdncWtW7cwPT2tTghqdX6S3dSfB9ljpnHI9BI7VlqK7hhJZl4HkTIHk0SCHJd+vWbErviZ3+t2u1XoXn5HpVJRPcKpjzY3N+HxeBQmoI1g2pgsNmPePJ0PdjXhCYX6yUwcj7QbrUgzdpVOPnEP2Vd5+h/Bp8whlylOMkok0wqkwyCdUr2+6LBCnOVwOOq6KFG307ZVKlYvb9bcyL3PdcQUAo6pp6cHr7zySh1uIjnEyA/tscfjUT3HCe7Pnj2r0nzW1tbqTlA8SJoGr7FYrK6aUG4kaWA4EaYRFItF1ZN1YGAAw8PDWF1dRSaTUX3RmNvC1iJdXV2qqwCboDPPRW97QsUtGRL+rRlhgrZMAqd36HK5VLj0/v37mJ6exr179+BwONSY6WlHo1GcOXNGpRFiiD7RAAAgAElEQVRIZoiLnp55NBpV7BlDsDwFKRAIYGRkBIODgyqvmPNtVQ4KlUplzNfks5Y5gJwLx8Vnx7QAMqp0XLjgq1WrDRVZZVYC68r9USzEQfPTAY6u4Ggku7q68Nxzz6FSqWB2dhbb29vIZrMKBPI0G65hhlL5Wi6XU7lBoVAIFy9exOTkJAYGBhRgl10FKFRmrQJ0XotjKJVK6sjXYrGolIXT6VQgnd0WWGE6MDCg2DcyVtLTl3lObGVEAMDemIyekCmj8iXA4r48TBhIFxZDSMUtwY10tlwuV10uuF10Qn+tEbC1u9d2n+M1dXb/sKI/80bhSl6X4X/dSHNMvEeyHyV1qr4f+F46IwSuMqzIVAuCkVZE1ynyWZRKJSQSCdy7d0+FlTl2Pl9Wk4dCIZU/SABLAK6nxQQCAeTzeayvrysdI1OV5ubmcPPmTUxNTSmHldc5SpqEfJ4My/Ka1WpVHVAgK+LtQvLyehKE6mtN2gGCJrbN4wlGch21SnbwGUq2VK5Brp/u7u6HiBXqiK2tLayursLlcqk2Uk6n1ReebBzTNiThweLsgYEBxGKxul7ucl1znNL2NyMHORC8tv467z/tHgkeRhbkHuJnZHRFt3O0CQDq9oFs0ycxSTNCUoZEE3PEu7q61Cl2jC6/9NJLGBsbUylp+hjlj57+QHBOkCztBkXaFMCq5RkaGsLt27exsrKCZDKJUqmEixcvHjinlvu8HmYTUOnx1CWCOzZyT6VSdeCVqQJ8L0/lYrhesrcy5wzYZx30148iNOQdHR3K0yfoJFhIp9PY2NhQYQ3m3fJ8YBp7WcwkwROZ3UKhoO4DQ9nMm2Gotlqt1iXDc4zNSiNwJ9kDfgefn1SMbGjPU7WoLB0Oh2LrWA1aqVTU/WCo2U75yTQBySq08iwJyGQjcB1wAPsM9M7ODgYGBuByubC8vIxMJqPSYcgcPHjwQG1APkeuRT5bPi953CzzE+1YMRo1adQPKwzJy0pfhitpqOkEsek7HQvmZUWjUTUWnY2X4Ijfw+4RrFZnTh3ZF2lUuK4lQ9OscE68hwSysphSriE7MNqq2LFUOnDQf1oR3cmWQJR6gv9npwr9Gcnf+usHvSZ1pjSKdGT0ebVaCNPoeVQqFaTTady/f/+hqmoSAixuYeEZu5tI8Mr1J48lZR/inZ0d1Roun89jZmYGN27cwI0bNzA3N4fNzc260HorNQRAfbSO91B20mH+scPhUIyb3ffZsbJ2To4kMQgcuOd4fd1Z4BxbnVujNc+1JPclHQkeBb66uqp6v+bzefV/Hh9OgEbmnNEuMoPs467beDvHs5VnqEc8GhEo0j5S9/J+y9xrMuBM3eB+0vPZZWpPtVpVEdlIJPIQQdXIgT6MeL3eui4jxFhDQ0MYHR1VuI5447iE85I2BrBsNI+IdzqdKlpQLpcVA/8oadqiyI1OkUZPMlxyQ8ucKplPRzpbz9uikZKnaMicFukF2BncVg2Zw+FQRtrr9dYZxVqthkKhoAzJhQsXVGXr8vIyNjc3VT4gPRmZ3ySVDLAfvuMG53Gb8uQwhtNlDrH03FtRRnYGj9eyU3KyEf7m5iY2NjYwNzenqt3J9jE9pK+vT51Qxa4MZDbYpF9XDlJBy03bSvpHJpPBysqKajEmT7KxY874f+ZyE5RyHSQSCXUes2QZ+/v7MTIyonJemdKyu7uLdDqNanX/TG96p8B+NAJAnTJuRoaHhxVDRtAai8Vw8eJFXLlyBaOjo8pg5/N5BVaj0ehDpxY9Kk+MQF7msZEhYYN53aCQqdEZt2aE7Lb80de9bpz5mt2ake9tBDjtjLP+b7tCG/n7sCLTm+S8uCYIYMnq6PdSv9+PEv09dntB5uPJ3p1HYV/175N7nu0DpXPDe826Bt4nGe7UI356SNXj8aCnpweA5eiVSiXMzc3hzTffxPXr1zE1NaWKhqWT1qyu0dcCnw91uwy7EmxzHVMH2zlFvF/ymnxNPgs5Z7v7q/+N96sZOYj5lWuS65bpRX19fSiXy1heXsbc3BxKpRI8Ho/qTU0mloCNto6pTaFQCIFAoI640tlHO/DaishiY8lqS8dY3nvqxFQqhWQyqWoQarWaSq+ThaE6gOMPr037yS5DrAGR67xVPQpYEXPiLjp0sVgMkUjkwHoECbr15w/s7z1JpJCBzuVyKiVN5j673W5FiPH+ZjIZ1Q40Ho8fap5Ng1c+JODhMKhMmgb285D0B0dFJEOqMq9DN+bSuPLGyU1vd5PlwmtGWJBUqVTUWdiyVQ6rH9m70+/3qx6BlUpFVUmmUil0d3erHrQEMdLLqlSsnovMDeJpPuxsMDQ0pJLhSeFzAx22F5qdNGKn7QAAvSECV9mjMZvNKlBBUMNKy0wmo+ZOxozFbQRdUoHzO1sFAlLW19cxMzODpaUlFdaWIM8u7MI14/V6VbER1yfHTkeLYffBwUFMTk5idHRUFWUxLYIVplRgXIdUenSOqDyaBQZf8AVfoBQ6w7+9vb2Y2DuZLRAIoFgsqqKsra0tNWfmLeshIN4HYF+Jyx7Fss0bgSvzzxrtPb7eCvBhP0WG4qQXz8pUfS3rYIy/7XSFDlQetfb0z9ixm82IBCdyTJyfNG7682nEhsm/2Y29ESCX79NzeI/yDPX56s4Gc6dXV1fV95ZKJeTzeYyMjKhThxhNYCSsEQDjNQiKWJ/AHNcbN27g/v37WF9fV4DlKOBVf7+dY0RdKjtc8If3+aBwsk4qSBBqZ4MPCis/ylG1E31t2gFXOS7qTuo89v6kfdva2kIoFMLKygqq1aqKUvJZs7Bb5pPahcwPWufNCh0Luc4JyHUsQTKH/drn5uawsbGh2EI9qibHJdPvJGBmRLVUKqkaH3niJNMZOa5mhUcUk5Rhlxh2CmCtDSNqMhJHwowsMiPFOzs7iMfjGB8fRzAYRCqVwuzsrOoPy4hDR0cH8vk8stms6jhEO8loO7EQHRaO8yBpGrzKFhjS2yJw5U12OBx1IQz5IHkjGPoB6htN6wyJnjcC7BdpyFCuzMWkh36YM3Kl8MSHWq2migjoSdVqNXXjCcDcbjf6+vrU2e/ZbBbJZBIbGxt14VQWqfHEJiZt89ADj8eDoaEh1feNp8FI5lFuTM63lY2qKwB5fbkxCJpZSZnNZrG5ualofXZWKBaLmJubQ6FQQCQSUYVnBNlkGmRLJsn8NqtMHyWJREI1HiezwjWo50TJf7vd7rpDNbxer+oYQFaW15BHPvLQCFntLDswcJ+wyTOL8bgeZJ+7w8qrr76KYDCI7u5udYIQD0tgPjjBt8/nU549ewYD+14zDQRQD6S4T+Wekqc1yYp23ktpZGVIrJVKbuZA8/4wPYJePP8mU4kapQ/YsUd2IKNRGJ5zk/PTozKtiB2jJdtf6eDlIPbLbk6NvkeKnKN8lno6Tyuis8SN/l4ul7GxsYFqtar6u545cwYTExPo7+9Xh9HIegf9erLane2LFhcXMT09jVu3bqm2d7LPsZwr71Mz0gi88n5JZ4uFczICI0GOnUOh62N+XoI6HWjw841ATrPgR3a3OMwe0vcPe7LyHmxubqri53K5rIAVu0MwmiNzPRutH912tQpepRMhHTfmjMsQP4EWTwldWFjA6uqqSqOS98LOoZC6lf9mgRrZylKpVNcbWM61FeHx7VyX29vbWFlZQSaTUTUrLL7lnElOME+b3RQkRrpw4QIikYjq/z41NYVPf/rTSCQSiEQiqoPS9vY20uk0Njc3FZtOfADsYxJG3B0Ox/GDV1bUEVCSVaMRkewWAZrsCUo2hmwecyUJdsg2AA8zAlIpkKklOCXIKhaLqqCGDFozIqv9yHbSKBIs8mFubm6iWq2qIi3OhXmgsr8lDT89CgnsGfIdGxtDT0/PQ14ZUN+8l2EpsnvNim7UZU6ovOe6k8GOCdVqVYG3WCyGarUKn8+HUqmkPGfOjekGsrpZ99YleD3KBqVsbGxgYWEBKysrSvEwl5jPUxoH+f1c05wfN68Edwx58PQpGcLj2pfP0OGwmqiz6ICtetbW1lAul9HX19d0hICnZ/X29ipvVebBcp2ykTidDyogh8OhlESttt8PVQIlGlYqYB7jyzPa+Z5abZ9tlYx6o6MNDys0XgwJcw3KKl0CY6YaSXZGriWdtaHogJS/5dpsdD27fdSM2Bl9vm4HaqShtgM8dtcFGufzye+VQFxPy6J+aJYI0L+jUQ4fAOWYMDLBE+6Wl5cxNDSE/v5+RCIRhEIh1QvarjUS7UAymcTS0hLu3buHu3fvYnZ2FqlUSoEEea/tGOGjiLzHkmmT99HpdCr9/ag1qDOb3I+MeEhSQGfo7ebV7Bzt7pndGpXvkYCaDnS1ah0Mwf+zk4Zk3JkqSNJBn/tBczjIeWtG5Bxk2J66kCkhzM9Mp9PIZrOo1faPkpU5xySwuGZ5Lf0gH64T/RAgu8hksyLBK8e1u7ur6kLIurIfeyAQQH9/P0KhEDo7OxUbyygccZ4s6qVtYBoZCUQScUwN4FxoL6XwHh/GZjQNXmVjcwJUOw+SD1nmf0gFyFM5GMLkA+f75GagsuYPlS2/l4qArUIkIGvWoLDxOrBvJAKBgPI2isWiakZPxcPQsqzkkyCnUCgo2lyycgQYPT09de0x6Knp6RO8r/w7PfpWRYaAdDaSc+emkmEThqlZVelyuZRR4by5wQnew+FwHejgd+ug4jBK6lHCI3UXFxeVQWTzfqBewdspd46H7MZhwpTyHtHRYMoEexVfu3YN165dU+knzKVdX19HLBZrao4rKyt1ioFrncBcpvHoVeS1Wk11guARztx3di29uD+prFiYpRsunbnQDWkrwjHx+8nCynwy7iWd8dGNqgwBUnSmSweLMlJwkCE96hxlSFBPi9LHqI+90fjsPmcHhg8Cl/yRkbNmROo0fVx2bBSd/2q1iq2tLaysrKg+wyzikc4ao1pModnZ2UEymcSDBw8wNTWlUgR4VryuZ3Qd0Cw40O+hfF0HotyTUr9LB4Fit854r+xyEBtVtcv9cBRh9xV9bdk5UPr9lU5QrVZT7F4mk6k7OpXkEHUWAGXb9RQnORbpfEic0KxIvSlxhp5SInU9IwC0wSxSJllCIo1dhXSnn3psa2sLyWRSdb3QHRrex6M8R6fTqXJSAYv8CAaDas+QGGB6XDAYxPj4OCb22l3RpuZyOUW4BQIB1YpxZ2cHPp8Ply5dgtPpVCkh7GhQLBbVYRaSeJREpXxuHo8HGxsbB86pafDKBywXp8xd4OtMIZCbjTeRD1weKiBDlXLz8fp6nogs+iFLSnAE7Dcub3Yhs8E6x0PwwtzUXC6n8vwkBc8TjjKZDJxOqwUIgDpQTcaVQBeAKu6q1WpYXV1FLpdT7V7IRusLV6ZptMJq6Yaa0mhzMGQiWxURRJTLZdUT1OVyKc+NyoiepUxcl0wBx9Dou1sBBlQsOzs72NjYQDabRTqdbuoaxylOp9Wuik4fCxkAqKMvm63GZ29VOn+810wVkMocQF2qAw1+KBRSQJo5V5KJk+3NJDOsPysZZtPBCBmIVgyKXBfSeMkwHBkBMrCSjdPXlgTXOhhrZBykMy6NmQ6OW1mnEuDrgNsOqOr3WIodS3UQOyWBhw4GpN7mZ+zA7WHE7jONnAA5BrbEYjHr4uIiQqGQ6qfN6n32Ae/r60N3d7fSxSsrK5idnVUHEFCXy7lLp6HVtAj9/sk0L3kPpdNkNwY9+qOLBP8Eq9x3h2FedWDdjBBE2AF0u7WqO5FS7zOdg3qZ9trtdtft352dHaXH9EhAo7UjgXyzoqdN6Y45rynJM0kKdHZ2qob7brcbm5ubKseT+pbpEADU/ORJXdTBvFfUn/y+ozjItBEE3hwvTyllJJi4jeA0Go2qLh+so2DBukzh2dragsvlUseg89AauQd4aqhMQ6EdlPaG92pmZubgZ9bsTZD5RroCZ+Nhyb6QOdGBLJE+QRz/L98jFz+vJ+l1uZgJDOQiljm1h5Vabf+0GXqEvNl8wFtbW/B6vWq+LDCYn59HLpdTSpa974CHi9e4YMjulUolzMzMqBxaUvYAVLECx+dwOFTBW6shWSn685SvyzxCnfV1OBxqsenpEDKUTgCkP8vDepPNblq/34/BwUF1EhoZ1ycl1WoV2WwWN2/eRCaTwblz5zA+Po6+vj6lKJpNG4jFYipEw/tKsSu2Yb4dUwlkP2TmPOl5vVxburMqWVxZhMI1Qh2h5/Ydh0hGWYJjaXQkWypD/rKKXlaCS+dM9kmVwFKKnRGXv5sVeW8fBTj11+3GoF/DLsXhMGC70XiakUb7m7pFfoc+TrLqXJubm5tYX19XoIE9sL1eL/r6+lRUj/pbB+EUu8KXo0QJJHDl98p7LIFkrVZTNkmm0ukstPyR61jaR50YknPSHY9W5wYAyWSyoUNl91t3dHT7zZ6jzMOnnQX2+1/T5sm9Zrcf5Zj0/d+MSPBq9+ykwytTGggEme7APFXqPLZLI9HD50Wnm2uG+pb3SIJJzv2oANbOtss0iFKphGw2i0QiAafTan3GY9Q5Duads7UWSUNgvzctI7FdXV115FVXV5fCU4VCoS7dwufzIRwOIxwOo6enR+GmA59ZszfgV37lV5r9yFMlH/zgB5/0EE5cvvu7v/uxft/i4iIWFxfx53/+54/l+/76r/8aADAxMYGJiYnH8p3NCou2WpXr16/j+vXrxzii0yfvf//7n/QQTlQ+8IEPPOkhnLi85z3vOfHvYN9WXXiSz0nKm2++eaLXPw3y+7//+096CCcuP/RDP9TyZ51Oq7l/sVjE/fv3bd/DTj0HCVu73bp1C7du3Wp5PHayvr5e9//l5WUsLy/bvpd9Xtmf96TF4XCoNLpEInHozx1vmXdb2tKWtrSlLW1pS1vacoLiOGpYqC1taUtb2tKWtrSlLW15XNJmXtvSlra0pS1taUtb2vLUSBu8tqUtbWlLW9rSlra05amRNnhtS1va0pa2tKUtbWnLUyNt8NqWtrSlLW1pS1va0panRppuldWsGIbxMwBeAXAeQBxAEcAcgD8A8AumaSbFe88B+O8B/F0A5wD0AUgD+GsAP2ea5l+c9HiPWwzD+BoA/wuAywBiAFYAfA7AvzFN878+ybEdRgzDiAH4BgBfA+AqgCEA2wDeAvARAB8xTbMq3t8BwADwAoAXYc27A8C3m6b57x7v6I8uhmHMAhhr8OdV0zT7H+Nwjl0Mw3gPgC+F9byeB9AN4LdN0/ymJzqwJqXZdSo+90UAfhTAawC8AKYB/F8Aft40zeNpTntM0sJeHAdwUKfv/2Ca5jee2ICPSQzD+EcAfnPvv7Z6xDCMrwXw/bB0jgvATQCmaZq/8dgGekhp0iY+dfq0GZ1iGMavA/iWR1zy46Zpfvlxj/Mo0orefJZ1TYNr/BqAf7z333OmaU4f5xgfB/P6vQACAP4LgA8D+G0AuwA+COCGYRgj4r3/HMBPwwKtfwzgXwN4HdYN/LhhGP/sMYz32GRPSf2/AF4C8DFY838DwNcBeN0wjKcBIPyPAH4VwBcA+AyAnwPwuwCuAPh3AH7HMAzZiTyw9573AugHcPjGbadXsgB+wubnf3+Sgzom+VEA3wNLCS894bEcRZpdpzAM4+sAfBLAlwD4fQD/J4BOAP8HgH//2EZ+eGl6jnvyediv3//0GMZ8JNmzDz8PoOFJI4ZhfA+AP4J1Hz4K6x4NAvh1wzBO4x5txiY+jfq0GZ3yB7Bfmz8B4MHee/7kZIZ5JGlKb76DdA0AwDCMvw8LuJ7YCUEnzrwCCJqmWdJfNAzjJwH8CIAPwPIsAQvg/Yxpmte1934prI3+rwzD+I+maa6c8JiPLIZh9MNiAlYBXDNNc0387e8A+DiAD8FStqdZ7gH47wD8fxqr8yMA/gbA/wCLLf/dvT8VAPw9AG+aprliGMYHAfxvj3XExy8Z0zQ/+KQHcULyvQAWYbEAXwrgqYtu7ElT69QwjCAs5VwB8G7TNP927/Ufg7U332MYxjeapnmaDEuze5Hy5tO4fveM40cAJAH8Hix9qr9nHJYTmQLwimmas3uvfwjAZwG83zCM3z1lUa5mbOLTqE8PrVNM0/wDWAC2TgzDCAP4QVhs36+fyCiPJoee4ztM18AwjB5Y8/0PsByuLz2JAZ44eLXbpHvyO7A26jnx3l9vcI2/NAzjEwC+AsAXweaGnUIZg8Vsf0YCVwAwTfMvDMPYAtDzREbWhJim+fEGrycMw/glAD8J4N3YeyamaW7jdHrKbbERmYpjGMZBbz3V0uw6BfAeWPvvN2lM9t5fMgzjRwH8OYDvwiliRVqY49Mu/wzAl8Ga05c1eM8/BuCBRXrM8kXTNNOGYfxLAL8G4J8CODXgtUmb+NTp02PSKf8IgA/AvzdNc+M4xnWc0uQc32m6hsewfneDvx+LPA7mtZH8/b3fD5/rZy87e793T2AsJyFTsLzGVw3DiMsNaBjGl8DKkXnI43zK5Gl7Jq2KZy/FYxRAHtaa/eRpy1NqS0OxW6cEQx+zef8nYTFeX2QYhsc0zfJJDu6Y5KC9OGgYxnfCyrlPAvivpmkeVu8+ETEM4xKsFLIPm6b5ScMwGoHXg57jn2jvOe3SrE18luXb934/C+fRv2N0jWEY7wXw9QC+wTTN5EkSIo8NvBqG8f0AugCEYCWr/zewNulPH+KzYwC+HNZD/uQJDvPYxDTNlGEYPwTg3wC4ZRjGH8AyHGdg0fH/BcB3PsEhHkkMw3AD+Oa9/9ptymdJ+gH8lvbajGEY32qa5l8+iQG15XBywDq9sPf7nv4Z0zR3DcOYAfAcgEkAt090kEeUQ+zFr9j7kZ/5BIBvMU1z/mRH17zszee3AMzDYiIPkoOe44phGHkAw4Zh+E3TLBzvSI8mR7GJz7IYhvGFsIqE7j2NRdo28o7QNXs47cMAPrqXDnKi8jhbZX0/rFyd98HapB8D8JWmaa4f9CHDMDywEto9AD5ommb6pAd6XGKa5s/Bygtxw/IkfxhWIvQCgF/X0wmeMvlpWMnbf2ya5n9+0oM5QfkILMepH1bxxFUAvwxgHMCfGIbx/JMbWlsOIY3WaWjvd7bB5/h6+KQGdozSaI4FWEWwLwOI7P0wP+/dAP7cMIzA4x3qoeTHYVXWv9c0zeIj3nvY5xhq8PcnKS3ZxHeAfMfe7199oqM4PnnmdY1hGE4AvwGrQOuxFNY/NuaVLYUMw+iDlbf60wCuG4bxtaZpvmH3GcMwXLA88C+Glfx7GitHG4phGD8I4F8C+LcAfgFWpehFAD8F4LcNw3jBNM0ffIJDbEn2uj68H8AdWLlJz6yYpvkT2ktvA/inhmHkYN2DD8JqKdKWUyZHXKespK0d66COWQ6a455z/OPaRz5pGMZXAvgUrErifwKLLTkVYhjGq7DY1n99TEVWp/Y5tmITn3UxDCME4B/g9BZqnYSc2jUq5RH69HthOcZf87gIxsd+SIFpmqumaf4+gK+ElYP1m3bv2wOuH4XFVP4OgG8yTfNUP1wphmG8G8DPAPhD0zS/zzTNB6ZpFvaU0jfAaq/xfsMwJp/kOJsVwzC+G5axuwXg75immXrCQ3pS8kt7v7/kiY6iLbZyiHX6KEYuqL3v1Emre9E0zV1Y7W6AU7R+RbrAPQA/dsiPHfY5bh5haCcqh7WJ7xD5JgB+AL93Ggu1WpRnWtcYVn/+n4TV+/WPH9eYntgJW6ZpzsG6Ec8ZhhGXf9tTYv8PgG8E8H8D+J/2FO7TJF+79/uhnJ293Ku/gXX/X3ycgzqKGIbxPlgM8tuwFvDT0HPwpIQpH6cx7PqOlkOu07t7v8/bfN4NYAJWQcID/e+nQY5hLzI0fZrWbxes53EJQMkwjBp/sN8e6lf3Xvu5vf8f9BwHYM1v8bTlu9rJQTbxHSQs1PrlJzqK45VnXdc8Byut81vlnt3bt2yTNbX32tcf17ieZLcBwGokDVj9zwAAhmF0wmJavw6WB/qtjzrJ4ZSKZ+93o3ZYfH37MYzlyLJXfPbTAN4E8BXPkFfcqnzh3u9TqXDeqdLEOv04gH8I4KtgOcpSvgQW+/PJ01j9e0x78bW936dp/ZZhtbayk5dgOfqfggUGmFLwcVhpZV+Fh9thfbV4z9MiD9nEd4oYhvEFsE6rumea5iee8HCOU551XTOLxvv2a2DVi/xHWNGP2eMa24mCV8MwLsJq8J7QXnfCKiToBfBp5kjsFWf9HqymzL8G4DueUuAKAH8F6wSO7zAM45dN01SncBiG8dWwFG4JwKef0PgOLXvNlD8E61jbr3ynpAoYhvEcgBV9vntVlb+w99/TfsjEO0aaXKf/CVZazzcahvHzonG4F8C/2HvPL57keFuRZua4Bwau7/UKla9/GawcNeAUrd+94qx/Yve3veb8LwL4DbP+WNSPwGpm/z2GYXxEHFIQwX6ngl/CKZFmbeI7TFio9Sy0x5LyTOsa0zTfRON9+wlY4PVHzGM+HtZRq51cGuke3fyvYLW3ug+rVVQfLCp5ElYB05ebpnlr7/0fgXUM3gYAE/YJzJ94GryyPWX0nwH8twC2YB0Jl4AVEvtaWEna7zNN89QUS9iJYRjfAitxvgLrmEa7vJxZecCEYRg/DKswDdg/+/nTsHrfAsCnzFN6LreUPYP5w7BSP2ZgPcczsLxJL6wjjL9BBwdPk+yFcRjK6Qfwd2GxcX+199qGaZoPnWx02qTFdfr1sAxLCVaD8BSsNnYX9l7/B6cpz77ZOe4ZjucAfALWaUAAcA37fSd/zDTNf4GnQIz9k6W+XdcdhmH8z7CKYpOwCnu3YTWGH4ZV+HVq1m+zNnHvM0+VPm1FpxjWKVTLADoADJ32yF6zc3zWdc0B1/kErLV97rjB60mnDfwZLC/qi2FtuDCsJu/3YCXm/1sNzU/s/Y7j4SpZKZ849pEes5imWTUM4+/BOmXiG9Jn9xgAACAASURBVGEVaflhLdo/hjX3P32CQzys8Jm4YLV0sZO/RH1l6Ffh4SPhvmjvh3JqlO0B8hewlMuLsNIEAgAysEKXvwXgt06TwmlRXgDwLdprk3s/ADAHm2M5T6E0vU5N0/wDwzp6+n+FddyhF9Zxj98Ha3+etmfb7Bx/C5beeResEHoHrOOqfwfAL5im+Vd2F3jaxDTNnzcMYxbWOv1mWLUEtwD8qGmav/Ekx2YjzdpE4OnTp63olH8IS7+eyhO1bKSpOb4DdM1jlxNlXtvSlra0pS1taUtb2tKW45Qn1m2gLW1pS1va0pa2tKUtbWlW2uC1LW1pS1va0pa2tKUtT420wWtb2tKWtrSlLW1pS1ueGmmD17a0pS1taUtb2tKWtjw10gavbWlLW9rSlra0pS1teWqkDV7b0pa2tKUtbWlLW9ry1EgbvLalLW1pS1va0pa2tOWpkTZ4bUtb2tKWtrSlLW1py1MjbfDalra0pS1taUtb2tKWp0YOfTysYRhP/VFcpmk6Gv3tWZ8f8OzP8VmYH/Dsz7G9Tp/t+QHP/hyfhfkBz/4c2+v02Z1fm3ltS1va0pa2tKUtbWnLUyOHZl4p5XIZTqcTTqcTLpcLHo8HnZ2d8Pl88Pl8CAQC6Orqgt/vh8fjgdfrhd/vh9frhdvthsPhQLVaRaVSQa1WQ0dHB7xeL3w+Hzo7O+F2u+F0OlGr1VCpVFAul5HP57G5uYmtrS2USiX12Vqthmq1qsbmcDhs//1nf/Znh57fBz7wAXVNp9MJt9uNjo4OOJ0Wzq/Vaur68oev87fT6YTD4VCf43jkuKrVat08+G+HwwGXywWXy1X3Pl5Xv84P/MAPHHp+APDjP/7jdd9F4TjkvPj98plxLPyMPmfeD/k+/Xuk8L2VSgU7OzvY3d3F7u6ueg4OhwMf+chHDj2/D3/4ww/NwW4MnL/+THZ2drC9vY2dnZ26uXH+lUoFm5ubePDgAV5//XX80R/9EW7cuIHz58/jve99L776q78aoVAI29vbcLvdCAQC8Hq96OjoUM+S+6dWq2F7exulUgkf+tCHDj3HhYUF3L9/H6lUCsFgEM8//zwmJyexvLyMz3zmM6jVanj3u9+NL/7iL0Y4HEZnZye6urrQ1dWFzs5OeDwedHR0wO12qzFwn1UqFXR0dMDv98PlcmFtbQ2vv/46Pvaxj+HmzZsol8twOBzY3t6u23+Pku/6ru869HsB4Gd/9mcfWqf686LI9+zu7mJnZ0etZbkXXS4X3G43XC5X3Z7mGpdrTn5W7gV9/cq/v+997zv0/OzWtN2e4T3Q95nL5VJ7jeP2+XwYGhrC0NAQXC4XVlZWsLKygkKhgEql8pDulL/lfPXx8Prf+Z3feej5AcAf/uEforu7G11dXXC73UrXcz8EAgFEIhH09fUhEonA5/Op99GG6Ht5d3cXpVIJpVIJ29vbdfeFz7darSKXy2FjYwNLS0uYn5/H0tISNjY2sL29DY/HA7/fj1qtptZ9qVTCzs4Ovvmbv/nQ8/u2b/s21Go1ZQt9Ph88Hg/cbre6b1yPlUoFTqcTHR0d6OjoqFvTXHu0N4Bla8vlct2as7MXct3SZsnnqOvrarWKD3/4w4ee47vf/W4Ui0U4HA54vV44nU6USiUAgMvlws7ODjY3N7G7u6tsOL+nUqmgVCpha2sLhUIBu7u7Sif29vZiYGAAoVAItVoN2WwWa2trWF1dRTqdRrlcVtehPeC8uEYCgYBaI1zf1WoVmUzm0PMDgO/7vu+r02X8Th1jcM4ejwfd3d0IBoPw+XyoVCrI5/MP4RO+l8+b+7VQKCCTySCfz6NarSoc5PV60dnZqebDMbhcLrUuOM+f+qmfOvT8fvEXf7Gp+3Ea5FH2omnwurq6CmBfUdAAErgGAgH4/X6loPgwuKhpOKhkfD6f2oiVSkUZlVqthp2dHRQKBWSzWWQyGbUBCHC4aXXgSNH/fxiRBoHX0IHYo67PuUigaQeW5Oc5Z7vry88S+PC6rQhBk/5dUjnY3QcCODsgLl87yLjr85av8TskeJcOwGFF3i+pxLnp5Zh0YEKFYQfK9PtNQ0SnbHd3F9vb2yiXy3XGys7h4fyq1araC80IjZT+DHj/OQ/+8NnZOUxOpxMejwculwter1e9RmW5tbWFnZ0drK+vY3NzU30XQYLdMz8OaQRS5Vz5mnS8qJf47OkEU3dI54FggQaGhoNrQYIC+V36GFvZi432ii76+udnaCTlegoGgxgbG8MLL7wAv9+P6elpOJ1OzM7O1oEHEhAS/OrOrPzuVp9xd3c3+vv7EQwG1foKhUIKmPr9fsTjcfT29iIYDKr7T3DCNQhA7RHus+3tbbVX5X4neAqFQnVEis/nQywWAwAEAgH4fD4Ui0Wsr68jkUhga2sL5XK56TnKeyWdHbkf9X3HPSl1D1Bvb6R901+Xa1N+P+2nnW5uZMceJdT51HHyPnOfeTweNQbOh7qWwEzqXqfTiWq1iu3tbeRyOezs7CCbzSKfz6vv4FrY3d21JU4o3Mf8XDMONUW/rtPpRGdnp/obnxmJhq2tLWSzWQSDQUSjUQVkQ6HQQ9fe2dlBqVRSDmStVlOOCTEP7QjthZ3TLvFDq7b/WZKmwWsul6tTFPQi+TDy+bxiXPnjdrvR2dkJr9eLrq4uxc6SAZKMqzQ429vbKBQKyOVyyOVyyOfzKBQKKBQKykvmJrZjRFoRGgJpJHU2Ul84dqBUX4A6wOb9szMYku04yFg2C+r0a9iNSY6hEXCX8yXAlJ/Rv4f/lhtQF3lN3QCQgW5G5Nz4vTs7O8o4UelS0fGZ0zFqRjjearWqgCsdNf7oDJ78zfc0+50SpMm9Q8MhGWSn06mALJ8ZAS4/y+vyx+12q/dwf1PIKEj2+LgBrFyXdutQX1+600Jwvb29jWw2i1Qqhc3NTcVmEUx1dXUhFAopUEXApLMucr/p6/yoc5f7uZHxlWCTgIK6ldGtvr4+nD17FteuXUM0GkU0GkWxWMTm5iby+Xyd89noXvL/djqtWQmFQujv70ckEoHL5YLP50M8Hkc4HIbH40EgEEAoFEI4HIbX61UOHbAPSqROqNVqCjR5vd6HdL/Uq52dncoh6ejoQDAYRLFYhNfrRXd3N9xuN7LZLJaXlxEOh5FMJhWjeFjhd9F5kPuc+kXXqwTcOtDk5+wiXY0ArP7dup7RCRB+TzMinXAygVIvE+jxe6l7qHf4LDs6OhSBQNDK+1MsFlEsFtXnpEPGz1M3d3R0qLUhfyRD26zY6RbpDFDHcX75fB5bW1uo1Wro6upCOBxW+qOzs1ORBQSu+XwexWIRTqdTOWUOh0ORe9Tj3NtyTHa2oxWb+KxJ0+BVGikaLrlBaOiKxSI6Ojrg8/nQ3d2tUgu6u7sRCoXQ3d2tvF8+PBpVyXbIByjZQHpADB1JEKsbnGAweOj52W18/lsqpUbATl6HC5GLUV5fB8GHAcDyvbp33azo47dTsLr3z/fZsQv63CXjAKBuvPp9lfOXn9c/d1jRxySNgfT+K5WKCocxXCmZSh1w6yBFfo/ONBDY0dDqLLK8llTSzcyR+4bgWBoxyc7wOTCSwXQGvpef4xh4PTKWpVIJXq8Xo6OjKszl8XjUPmSInmvmJMRuDch9RQNarVZRKBSQTqeRTqeRy+VQKBSUcZT6AtgH4XSoqZ9CoRCCweBD6U52TlGrc5ZgWF/zush9xNB7MBhUhjMYDCIQCKCnpwcXLlzA+Pg4wuEwOjo6UCqV4PF4MDc3h3Q6jUKhgM3NTcV4SX3yKAehWent7UVvby8ikQicTicCgQAGBwfR29urSA6m1XD9UW8yEsS1yXWsO4D6feT6lyDX7/ejr68P1WpVRQdrtRpyuRxGR0extraGbDaLcrmMZDJ56PlJR4l7vJH+0W2TDkakEyvTV3QAagdkpV3Sx6eTIK2AVzkvzoNhfV6Xeo77q1gsAoDaP9RXgLXvyGyShOJ7+Lz19DGOXaaVSKf/oP1zWNHtHJ8J9wjXaKlUQq1mhf/L5TJyuRzW1tZUBIf3jc4/17NM35KpWzpwlXOR5AL/dhTb36roukC3WwfZgJOwC02DV6k8aCDloiYNLtnWYDCIkZERlddE0ErWVXqgBE4EF36/v87Q8HvJKnETFYvFhxYKx9kMeKU0WiCPAqwSoHAuMm/FztO2E6mY9Nd15d2s6F69Dlwl0JM/EoxRdCZHZ0kkEyYVsZ1StsvBs7sHjxI9xCuvQWVHxbO5uVkXQpYA2+4+y3/zM/L73G63WtcOh6Muv60R085n0oxQ+TNqoRtN+dxk7hmBuWSk+Dwlc0vGkvmtw8PD+MIv/EKMjIwoFnNtbU0ZKq6n4xa750GR64e/S6USFhcXcfv2bdy7dw/JZBLVahV+v1+FkMnukYmnLqnVrBz8eDyOkZERjI2NqZC3zHvX10WroMDOYWk0X66frq4u9PT0YHh4GGNjYxgYGEBvby9CoZACZQSzHR0d6O/vx7ve9S4F0FZXV7GwsIAHDx5gfn4eGxsbim2UUS+KZINbeb7Dw8OIx+Po6upSREJPTw96e3sVA0UjLudMvQlAAUMaR5kqIFN39DC8ZPqCwaBiO7lneL2RkRGUSiWUy2Xs7u7iox/96KHnJ4GnvgcleSEdZ7uwvs7y8XUJ5HVdpn+fHbCXerRV4XVl2l+5XFZpG3yPzgBLZ5hpGwSdkm3kXmRYnjnIMlrAa/J7/H4//H6/undcB8zJTaVSTc1R2iudoKDQgfL5fIhEIvB4PCqKQ4Y1l8s9hGOoY7lOASh2mc9IZ+z53bptPg1CLENsFwgEsLu7i62tLWxtbT0UhTupcbcMXvmAyLrwb1xoZATGx8cxOTmJsbExxONxdHd3q4R2uen0hUMmpaurS4Uc+DkZqiY1z81EJkin3g8ruoGSchATKhWOVDoMg8hQmBw/lYJkHfR7oo/BTkk1IxLg232HzP3k+AlS5SZsFKbSvVc5XzlmqTBoSGhAAHuv8zCij0UCVzKKBF28/5yDZHgk46oDFaksySDwuzkvXRnpc7cb42FF5pwB+/tAPleZGyidCJnn6fP5FJCV45SMeyQSgdvtRl9fnwKt09PTuHnzpkrjaSVU9yiRa0ZnrOX31Wo1FItFbGxsYG5uDnNzc1hZWcH6+jqKxSLcbje6u7vR3d2NaDQKn88HAMpQMn9ta2sL+XxeGc9kMomhoSEMDw+jt7dXhZqPSxnraQiNnCRGsKLRKAYGBnDmzBlMTk5ifHwcAwMDiEajKm2AeoQAr7OzU+XB5nI5pFIpVex37949zM7OYnFxEclkUoVFCSRppDi+Vp7xmTNnEAwG4fF44HQ6FavNQhuSHPweyTjx3wQ5MtzO90odIx0Mvo/rWDJF0mnQyQYJ3A8j1AO6TqcTIB1I+Rk5Fn5Ohsx5/wmKZHqP1FVSP+pgR9dZ+uuHFa4H+VkCNklM8DWuO6YFEmgyJ7S7u1tFXOV6ZdphJpNBKpVCKpXC1tYWNjc3kU6nkUqlUCqV4HA4VKoMwb5M32hlf0o9zPUiSR4pLpdLOYqMTuVyOQCoK9jimmRUTzrZtD87OzvqPsgUCDkP3XE8iPQ6SZFjIDCPxWIYHR1FpVLBzMwMtra2TsQW2EnT4JXgVN48CQ4cDgc8Hg8ikQguX76Ma9euYXh4GOFwWC1YuVmlB6czbmRCuFEJmmTRl2S0JPPKcbUCXiXwoNiBPB2EydAQ58Y8HgnKyDSQBWCBmwT0jbxluaDlGJoR3qNGjJlkDPh8ZHiRnjSfh6xapwLms/N6vXX3Uj5b/ft4vyQ72Ap41RldoN4Ycv5utxuhUKguZ0oyBjpA0u8TxyiNK8PTZKobsYW8F/J3s8L7KllSRiOoIBkq53NjqJk55zLyYTdGXisajSqwl0wmEQgEVGiQ33sSohtj/l8avWKxiEQigbfffhtvv/028vk8enp6cPXqVbWvyLrKfDOyeEyNIBOfyWSQzWZx//59rKysYG1tDefPn8fo6OhDLKwEnc3qGrnHpdMjpaOjA+FwGENDQzh//jwuXLiAs2fPKtBKECiL/nQjzvH5fD6EQiHE43GMjY3h/PnzmJqawuc//3ncvHkTS0tLdfneutPWyjqdmJioSwujrtMBl52DqI9BphJwrjKyIMOvct66oyjBjpxbK6BH2iO775PpHlLkWKg3JfvvcrkUuKENoWMhmcZG3XB0kaRLs/o0EAgox1h2g+FakdGbnZ0duFwuhMNhRCKRulxQ1sBI+yfHx3tAJ61YLCKXy2F9fR0LCwtwOp3Y2NgAsB/xI9MKQEU4d3Z2mpofryefF/8tiyKljef9pN6tVCpqXpKo4nxrtZoCtpy73FPU4bVaTa0pOkB2++EoqRFHEafTqXRqMBjE0NAQrly5ou5NNptVHWuYVnJS0hJ4lQ9Yerq7u7vo7u7G4OAgrl69ihdeeAHnz59HKBSqK4IoFArI5/OqCIvgldeTXojMy/N6vQD2FYH8ref4bW9v2+YAHVY4Fl0R6eyr9LK5kIvFIra2tpBMJpHJZJDJZJDL5VAsFlGr1VTBQDgcVj+sjA0EAgpQ2AG9Rkq+1TnKDdvIY5LMKLCfayiZCvncOC6CI3ruMudLfpdMA5EsNRP+mzWa8hlxbHKtSNaC4yWglVXqds6LrtSYM0n2tVgsqqp26ajJazRioZsRyRjLaAOdvFKppO6jx+NRVbGRSATd3d2KtSA7K3MEdadBskjMC+Wc6aDcv38f2Wz22EGsHTiUDlwul8Pi4iLu3r2LO3fuIJ1OIxQKYWRkBOfPn0c0GoXT6VQgoFAoKHaAAKC7uxvxeFyFQ2ksFxYWVBEPC9bGxsYQjUZtWzgdhQ3hmpS61ev1IhaLYWJiApcuXcLVq1dx9uxZDA4OKudDZ8L0NS9BGRn2QCCAWCyG/v5+DAwMIBKJoKurC2+99RaWl5dVIYrUea0ay4GBgTqm0ePxKBaW89Sfq50zLUED2Vo+V+Yf6vpZXzsy/Uw6C5JwaCV9x85BtSM6ZAspAhXaDTv7B+y3y+K+KhaLau2yhkRG7vSIEb+b42qFtaNjrxdHc/ySXGL+eDweR39/v4q28hq0j+l0ug5LMNLq9/sRiUTQ29uLarWKfD6PWCymnDS/3490Oq2KEOmY0tbL59yM6I6GtL1yL1Bf8rlR78ooHLELmWepf2TkgJ+VIJiATzL6Etc8buDKjlBM+YhEIujp6VG1AefOncPFixfhcDgQDofR19eH9fV1RQQwskX802wx9IFja/YDcmHQeJP9cblc6O/vxyuvvIJXX30V4+PjdcCVVb+rq6uq7Q4nxAdD48l8Wf7QoDJZOxgMKtAqvTZ6hvS+WgE+MiyvMyy6UuffuCFTqRSy2SzW19exuLiIhYUFJBIJpNPpOs+rp6cHQ0ND6O/vRywWQ29vLwYHB5UxCQQCdeyCZBMkuGrFYOo9BnWmkv/XCxD4f9lSCIBqv0MFJp+V9CCl6E6BXWhPKpRWxC6MRiXJ9AGphCh65X8jJcZ7JJk8eS0ZHXgUu9MKeJXXZkSEBs3hcCAQCCAYDKqimXA4rIocnE6rV2Mmk0E6ncbOzo7quUlgpBs73juCXBkO9Hg8uHv3LtbW1o4tbKTfMxltqNWs/pzLy8u4desWpqamsL29jcuXL2NkZATRaBRut1t1JclkMlhbW1N6Z3t7Gx0dHSq9KRaLqfvT09Oj+jgypD4zM1OXaiIB7FGeof6b+sbtdqOnpwfnz5/H888/jytXruDMmTOIx+Mqb1eGxRnxkJEnCYR0h4TpBIyikJF/4403MDMzowrzeN9b1TWBQKBOf1A/yLVLYKTfC7m2uQaoU2R1NgstuS/tGG2pr+V9lvuxFbJD2gvJEPNvdsCWkTgCuXK5DLfb6n0q04D47Hw+n3rWpVJJgSBp43gfdGZO6p5Wn6F01mUamHw21AfxeBzxeBzRaBShUAg+nw8Oh0OlA2xsbGBtbQ3JZFK1xaLeCofDGBgYUN0pyCzz38FgEOFwGNPT06pnLzFIIBCoi8C2IjrBodtI2QqRDgXHTuKJqTAyB5vPhuQb7SH3Kp9jsVhURILT6VSgn8+Anz2Kk9yM8N4PDAxgYGAAPT09GBkZwfj4OPr7+xUBxzZ4Z86cwcsvv4z19XUkk0mk02msr69jaWkJMzMzWFxcRCqVOjb70DR4lc2Cpefl8/nQ29uLS5cu4cUXX8T58+cRCARQq9VUj8VEIoGFhQUsLi4qdM4HJ8EOk7r9fr8q7mKSNz0ZUvESgMiFRWXerEjwxnk2WjDc1KVSCYlEAg8ePFBzW1tbw9LSkvp/Lper8zrC4TD6+/vR09ODcDiM4eFhXLp0qc67JdDQN5JkVVoR2X7GjuWQr1UqFXi93jrDLRlLeo9kp+QY5fdIQyqNKJ0eKm32C+R3t+qp2d0bKnGOQT8IQVfI+iaTxlzmvNI75rrj3PVcV92oHEV4PVkJzzUzMjKC3d1dTE5OYnh4GENDQyrXk2MtFApKsayurmJnZwfhcFhVgrNDiO4o0XnhPqXilswPwfBRRa5FCXQcDgfK5TISiYTK29zd3cXY2BiuXLmCeDyuGNlUKoVkMlnX/DybzaqWYTSaLCIaHBzE4OAgIpEIxsbG4Pf7MTMzg6WlJSwsLCgQ5nQ6EYvFFOPeilGhg6anKnV2diIajeL8+fN4+eWX8eKLL2JiYgLRaLSugTl1nm5Qua65Pqg3ZVseziEQCGBkZKSuxU+tVsPCwoJaT7VarekWUhQJ8KWO1/NWpci9IsPTnI8Ev/y/BC16ESXvtYzi6SCZ722W1ZLAVU+9kdemrSBTTKeKDKzH40E4HFYsIu8XP0vgJDtF7O7uIp/PA4A6IEAWi8o56VXhzc5RB/nUC3RoeejAyMgIent7VeP+dDqN1dVVLC4uYnl5WRFXbFvHaEFnZydisRgGBwcxOjqqiB0WI/K33+8HYBFhJIWknWkV3Nnpav3ZyU5KTOMg08xUGLbzZFcTCXJJwjFdsKurS9kPdmMiK18oFOr2I8clx3iS4vP5VNu9s2fPYnJyUuX/Dw0NoaenBz6fr444GRkZwblz57C5uame7/r6OmZnZ3Hr1i3cvHlTFdEeh31oCbzSKwSgmMRwOIzLly/jhRdewNjYmPKEyO7Mzc3h1q1bePDggUq81kMcBAQMHwQCAXU6C39kWxW+TxYWEUQxBNSKJ60DODk+6clXKhXVIuP27dt46623MD09rbyOdDqtWB5d2JZldXUVoVAI+Xxe9ZwErJACWTAZytZBayuLmM9OzqdRzhRBkWwULdluACrRniwCASmVnGwPIk+bkkqQzILOcOrFDkcRnUXkGiILK50WnQ2SlcBkQwCoXpqRSEQBD7tnxf+3sibthEaJ38FK12g0ivHxcXR3d6s8zUgkonLDqtVqXXETK85rtRq2trbqDv+QhTb8ToJI3odoNIqzZ8/WsRL37t1rutr3MML7v7Ozg3Q6jbm5OQVcJycnce7cOYTDYWxubmJ+fh537tzB1NQU5ubmkEwmVY9XO3Dn9/sRjUYxOjqKixcv4sKFC4rBpSwvL2N+fl6lMDH3yy50fBjR1wjvbygUwvj4OK5du4Zr165hcnISkUikDriyd2Q2m0Uul1PGUoa+5d4mwGDRjNQrHo8HsVgMFy5cUMaTe3t0dBROpxOJRKKlOcrOJHyG+nx14EeR+1+mkskQMZ8hSQwyeTIiKO83UB/J4uuSXWxGdIZX6gqZAsL8c64/h8Oh0seo9/lvucd4bakPy+Wy6vjB1ne8X8B+dwb5eelcNstMut3uOrDB65J1DIVCCtj09PTA6/Uq53J6ehpvvfUWbt++jYWFBZVCRwAvu/HwAAsyfNeuXcNLL72ECxcuIBaLwePxoLe3V32mUqlgbW0NqVQKHR3WaW0yvbAZ0QkiCVzJukqm3Ol0KoLN6XSqlKSVlRXMzs5ieXlZ9acvFotwuVzo6upS4fdYLIaxsTEMDQ2pHsfd3d3o6OhQBbCFQkHdZ45LfwYnIW63G/39/XjhhRfw0ksv4dy5cxgZGVH9mdkpiuOQ6YAulwuhUAherxc9PT3o6+urI+ncbjdu3rypDrs60jib/QAXmrx5Pp8PIyMjuHLlCs6fP6/akmxvbyOVSuHu3bu4fv063n77bSSTSdsQic7s0YsMBAKIRqOIx+MA9pUfFbnH40FXV5cynnovx2Y3qgyhU3FKJhHYV3YsFLl9+zY+97nP4caNG5ibm1PHxMkNL71pPmymTHR2dqJYLCKbzSKRSABAnSGih9YIYDYrMpwhmVG7e8DFybwdMj08ZWRrawuZTEaxATIni0aEoexoNFrXk1J6olS2dj/Ngld9k0ulpN8HGkMdsEoFLZki/q1arapChtdeew21mtUzsq+vTzlTOmBtNI5WQAHBK1lIhv9jsRiGh4cxODiIiYkJ5SE7HFZaQ6lUQjKZxPz8vFKy7MfIwgOZ1xYKhWzbcUkAS+AjQRXZB+nstSqSPeN9Zk7q7u4u+vv7cebMGUQiEaTTady+fRu3bt3CnTt3MDMzg5WVlUOdnDQ7O4v5+XkkEgkkk0lcu3YN4+PjiEQiKky7uLiIxcVFtY4JfI/C9tBx414ZHBzE5cuXceXKlTrGVYacue94xCRBke7sSYBHB5O6kXqFbHp/fz+cTqfqvAAAV65cQSAQwNLSEqrV5o/d1LuocM7ywAy92EyGaBnJkAU+DK1KoMjUAQJYnYSQekxveybBa7PrVHfCqfMIsGkHGe4n2cPDGWR0rVarKeJD5mXTySaZw7oIr9eLbDarwI4kGvQoj51+P6zo9o92lcx9X1+fAq4dHR3KMX777bdVMeDs7Cw2NjbUIUeNJJFI4O7du/D5fLh9+zZmZ2fx2muv4erVqxgdHYXf78fAwIDCDLJ+hvnUJBaakUYOKHEAgSvzq/k9LpcL4D7JwgAAIABJREFUhUIBqVQKKysrmJqawu3btzE/P6+eDfUrUyDZOWRsbAyXL1/GhQsXMDY2hmAwqA5JYQpQLpd7qBahVXb5MOL1etHf34+rV6/iXe96F15++WWMj48r58HhcKjT0GRERO5v7lUWq5GAJGvO9yaTySPlwDYNXiXzBljAtaenB+Pj4xgfH0c8HkdHR4fKb7179y4+9alP4c0330Qmk1F9CpnHwo3NZuJMWOYhB7VaTfUR4w8VGn/Y6JoVw6z4JgPbrEivi0pSggWmQmQyGczMzODzn/883nzzTczOziKTydh+p2T15IPu7u5Gb2+vYniYhM4xyORv3RC0Ko28TF5bB45UiJLtYf4SQ0BkvGXSuzQsgUAAyWQSkUhEgVgWD1EJ2IG64wDqvJaco7y2BGt8xjIU1agav1KpYGRkBF1dXbh06RJWV1dVSGlzc1Pl+/H7ZRqKnGOrQjDH9Jt8Pg+n04loNIr+/n5Eo9E6Jmd7exvpdBoLCwuYnZ3F6uqqOrKQ7G06nX5ovsFg0NbJITDnd164cAGZTAaJRALr6+vY2Ng4knKSgJ/ft7u7i1QqpRruR6NRTExMIBQKYWtrC/fv38cbb7yB69evY25uTrHJhxWOWZ7gx8KvoaEh5HI5bG1tYWFhQR0LSWPZ6lrlnuno6EAsFsP4+DjOnz+P8fFxBVwBKGOWzWZVVIfslZ7TKYXPnzn3TOOKxWKIxWKKPers7ERvby/OnDmDZDIJh8OBy5cvIx6PY2JiAtvb2/jYxz7W1Nyk08excAzlcvmh/HlZYU+jT4abDjR1u8PhUMUkTD1i9wkAda3kGL4lA8a0J+o/Ol7NrlcadD1NgK9xvEy78Pv9ypEPhUKoVqvY3NxUTOrMzAzu3LmDRCKhTpNibnZ/fz9GRkYwPDyMvr4+xYDJEyc512q1WndypXwWreoc3mPJ7LMwiyk02WwWU1NT+Nu//Vt89rOfxa1bt7CyslJn2w8jxWIRU1NTqjCLz5v6tq+vD9lsFslkEouLiyrqw8NGWpmbfl/0KCPXh+wgsLm5iUQigZmZGdy/f19Fetg/WXbqAVDXIeL+/fuKod3d3cXg4KAqhqrVashkMupIZ9okPQXkOIUO7LVr1/Cud70LV69exdjYmGLTqReJq/QDCbj+uWbZfYEsLLCfyw0An//8548UoWupzys9YwAqZ4rAVT7U6elpfOYzn8Hf/M3fIJlMYmBgABcvXsTw8DA6OjpUuLlQKChDLJUaQ3ksYJIdC2RRFcO4XV1dCrxKMNysSCUk86AI6Bi2nJ2dxc2bN5VnmU6nGyo/yQBwzN3d3YpWJ6XOwi96fBK86rlctVqtpYVsB1ztAKssBiHbk06nsba2pnIIZeK9ZBglY8lnXSwWbbtMVKvVuh6Vdverlfnpc+X1JHNIFsGOYef7ZcqEBAgMHUWjUUxOTipGM5VKYX19HZVKBbFYTJ3UZMf8tiry2cmK366uLmUYZb4hiz34/LLZLBwOh+pVyLVEAMBnTUUtw0Qcu3QAOjs7VYHR8vIy1tfXVcpQq6BOD8lWKtaxjCwIAICenh709PRgZ2cHMzMzuH79Ot588008ePBAOYI8JUu2VdKLgKhwmQ88PT2tmOjOzk7FwPb19aFcLmNjYwMLCwvo6+tTxWHNiuwu4HK5VKeWM2fOYGJiQuUOkjWnbtjY2EAmk1HdS3SArwMpKTSmsp0dWRK32w2/34/+/n5cunQJ1WoVg4ODiMViiEajLeW9UmdzrbPdGgvCCDQkI0sdsbOzo8bFXG06z4VCAQ6HA11dXajVaipHmz16q9WqCsPyc4VCQREdvPd0yHgqW7NkBxlxqfd0/SJ1HIsDmUtMlpL9dqempjA1NYVEIqHGwucSj8cxPj6Oixcv4ty5cxgdHVWFmLu7u6q6m2kEsmCUojvPhxV5r2S6SU9PD2KxGNxuN9LpNO7fv4+bN29ienoaqVRKpQO4XC4Eg0FVpe7z+ZQdJSNLm8jiIHlvFxYWVOoM80P7+vowMjKCQqGgrsEQfLNiZ0dpz/R6BoKyQqGAxcVF3LlzBzdv3sTdu3exsrKiGvUDeAjgkXwjKOczLpVKuHTpkiK0yNIyykA5KdaV3zs+Po4XXngBL7/8MiYnJxGLxRQTTDwlo3OylZiMNBLckmn2eDyIx+O4fPkyPB6PKqJl1KgVaQm8cvCdnZ0IhUIYHBxEf3+/ooVLpRKWlpZw/fp1vPHGG0gmk+jr68Orr76KK1euoKurS1WilUol1a6GCrpWq6mChZGREXi93ofyLYF9Sl9WZQYCgboTvPScq0eJBBQyTUCybSw+u3fvHu7cuYP5+Xlsbm7a0uh2wvYerAKn4nU4HCosT6BHAMs50fM9CiPZCLxSdCC7u7uLQqGAbDaLjY0NrKysIJFIKMZVVk3qQMiO4ZCtP/ibuTR2TGkr89M9Qru/ye+XLCuw33dPL4RhWoFsC1OtVtUaHhkZgcvlwtLSEmZnZ7G1taWKGOjYySKP4wB2DF2Hw2FV6Ut2id9RrVYV47azs6NSOcjclstl1YqGipNKSI5X/345/o6ODvT19eG5557D2toaNjY2FJA4yhzJBBeLRQVcCU7IbpN1feutt7C0tITOzk6MjY2pnF1Gcba3t7G5uYmtrS0UCgVlMOPxOILBoGJ219bWMD8/r6ry/X4/ent7EY/HlQPAsQwNDT3UeeCwQmXvdrsRDofVyV7xeFztBwI6djMhEyWfQSM2n/tJsmUkCbLZrFoj7J7AnLXh4WHs7u4q8Nzq/LhuqEsLhYLKe+S15doiCMvlcsqhoA5nC8JsNqsKldhXVObhERgznWN7e1uRGTKyIgEZU9yaBa9yH8vIBPUmwUtnZ6diXLu7u1EsFrGwsIDbt2/j7t27mJ6eVowdGXUyqHy+7DlMHTw5OYlr167hwoUL6O7uVo6Bnq4mx9UK+NHTBVwuq19vKBRSQLxcLmN5eRkzMzNIJpPo6urC5cuXMTo6ipWVFSSTSXR0dODMmTO4evWq6uPKlLuZmRm43W6cO3cOr732Gq5cuYJIJIJcLoe5uTnVvi4YDKquA8FgEAMDA4pI2draUqlKxyHEF9T91LUkIvL5PBKJBObm5jAzM4NEIqHSPbiXGFlupOczmQzeeustFRUJh8OqjoIgnek1HBNw/AVbLBIdGRlRznNfX19ddFw/jEbOiWkkHJvEKLKNWm9vL9xuNzKZDObn57G+vq6iDM1Ky31eGbJhiJI5Ebu7u8oDe/vtt5FIJBCJRPDCCy/gxRdfRH9/vzrJhpQ4sJ/8zfDD5OQknnvuOUQiEWQymboQJ9lICjekrPzjgQitgldpEGSBAJXr0tISpqamMDMzg1QqVVeU9Sjgyj548Xhc5RTSsDJlgo3lM5kMXC5XXY6dPu9mxS68xXHbpQ1Q+W9sbCCRSGB1dRWpVErlL1FR67mdMveM7+Fc+X/JLsi8Hnmdo6YOHGTcKbLIgyCPLD4dCrtCH/YNJaPDM9TL5bKqUCc4HBwcrAPoR1FEkgFlDl00GlUtnxhK5fUlQ8q+wh6PB6VSCWtrawCg+n/SmWIbJZ0RbxQiJQM2MTGBZDKpQmeZTKZu3R5WdFBAY5FKpZSy9Xq9yOVymJ+fx927dzE3N6fC3WfPnkUgEKhr/r6zs6Py8SqVCvr6+jAxMYGBgQGEw2HUajWsrq6q1i7Ly8u4efOmYtC7uroQCoVUARhZbLbJaUXIfPJY2sHBQXV4BvWC1Jd0CvV1I/cU95XuOEjnnABWFsgSCMZiMZRKJcVQylY/zUg+n68Dv8zVpePASBZP92JqUrlcVqw/QQBZV+bucs0xH5QsMvNfCUpZOKPXP8goE7+3WSMqozE62yor030+n8r1L5fLmJmZwRtvvIHPfe5zuHv3Lubn59Vxy3puI3Uwr1UoFJBMJlV0x+PxYGJiQoEE6iTZzUKPnDQj1MvMlQagen4ypYh7oVgsIh6P49y5cwgEAshkMpiamsLi4iI8Hg8uX76M559/Hr29vSiXywiHw2p9uFwuXLt2Dc8//zzOnTuHeDyuese/+eabyGazWFpaUo4W12kkEoHP51O4opUIgU7eyFQ5AksZxeE+q1arKk89HA6rdUx8wrSCjY0N5PP5umgPYO3BtbU1OBwOFXlhmJ7PUxJnBIlHidrZCbtdMJJFGyILcakHuDZluy+ZMiAjxHTO2U5TppmeOXMGU1NTLee+tpw2QKaJxlJWyq2srODBgwdIJBLo7OzEmTNncPbsWXi9XqyurmJpaQmJRALlcrkuHE4GZGBgAOfOncPg4KBqQ8XGxFSwDO/K1AEaW/0kj2aFRpMsoizqYS5vIpHA0tKSOoLysEqBgL+np0edkEPWlYqJoRR+V3d3t2pPwUWtMxbNzk9PF5Cig1eGm1dXV7GysoJ0Ol1H9VNB8jdZTF0BM/wiDRYBLYGfzry2omyb/QzHC0AZu3Q6rZhvvZiL86GBYlI6ANWD+Ny5c6jVarhx4wbW1tZUhGFwcFAZErnpWxFZfc2ODgw52XnqBK4s/nM4HNjY2EA6na5LO+jt7a3Lg+T61BW8FKmUw+EwJiYm8OKLL8LhcGB1dbWl9BbuOd4fGu18Pq960no8HmxsbGB6ehpTU1NIp9MYGRnBiy++iFdeeQV+v19FCNjH9caNG6ra9cqVK3jxxRcVcK1Wq6q5usfjwdTUFGZnZzE6OqrYiGAwCJ/Pp/ZFKpVSQLpZYQSrq6tL5Q/SOMuoB/PiWOjD3sI6a8n35nI55VDLvSTXGotG+X6/36+Yaq/Xq3Qg/9+KA7K0tASXy6WuyzPrqeuYk8yK7K2tLcWm8jsZHSBwlUdwMvzKiEFnZycikYgC70x/yefzdWkhfNa8D/zeZkVGbyTbJNMjKpWKCpm7XC6srKzgzp07uHHjBm7duqWq8GVai9SpMqLHlBWGsckEOp1OdXgFe6ryc7SF0slsVph2w3HQWWeqxvr6OtLptBrH+Pg4AoEAVlZWsL29rZyj0dFRpRMAq1vL1atX1do6c+YMXC4X7t+/j/n5eVWMHQgEVP90phCwgw2JHUbIjgJeZVoRC8JkkRajZ3SII5EInnvuOVy5cqXuHhMrLC8vq5P/5ufnlR1wOp11NrRUKincNDo6qg5m4PPi2uQebmUvNhI+z0gkUneoBPN89RPeZN9+mTZA/MVetxJDydPD2J2KQN3j8ag89WbsfksFW8D+sYUMg0jPemlpSS1abtp8Po+33npL5Unu7u6qPB6GON3u/SPHIpGIarexvLyMjY0NFeaRXgmBBG8sPTJ5uEErc5TpEQQ2VHypVAqJREKxLodRelwg9G4IXDmH7e1txUqsra0hkUioJPzh4WGsra1heHgY3d3ddaDwKKwdsF+sJIuWJFtDAM0xyVw73mN6orIik1W1rKh1uVzKi+Nvfg9ZCfYLle2mWk2R4IbSDTbnLPtHyipmGjt5WpQE5EB902qysdyszOPz+/0YHh5WVafJZBLJZFJFKPTn0Kx0dnYqNoBJ8UyZ0U/24hy4b7imafh5T4D9lJZwOKzui87yHeT8kOVhz2efz4dUKgWn04n19fWm5ihbulUqFQW0yuWyyoN3OBxIJpOqU0ChUFDj7+joUFGScrmM7u5uVTDI1jSjo6MYGBhAKpXC4uIiAKhoUjabxcrKCjKZDBYWFrC+vq6MSldXl8pBTSaTinlpRrimGFJmARWjMQDqTgYDgFAoVPd3uS5ZKAjs57bKcJ7c11KnMUWJRbKMKjAVqKOjQ+nUZoW9cRkFI7ggYKSe0FOMuJbJurJQjfmEeh4gax7YOJ33jEf9stKf+lq2kqpWq4p1bVafSvZWRkNYJ8C83XA4jEAgoPIk5+bmkMlk4PF41OE0HBOrudlNgrmWZJXZopFOIZv08/QjrgNGjiQL3wrDxXtDQE3ATAcrm82qNnI7OzvweDzo7+9Xa5QgjAfvJBIJRWyxBROfTzAYxNbWFmZnZ1Eul9UxyATyqVQKy8vLGB0dVUQAoyFk+Y9CeEhihWtVFhZyPfKApUAggOHhYRVFpcPNZ3T37l2lP9hCivpZtpXs7OxELpfD8vIylpeX1dykbaLt5PuPSxwO63SsyclJnD17Fj09PWqe8lh7glM6gRK8ckzsM6y3ZuP6oc3iKYgjIyN4++23VRcT2TLzUdJ8lcHeZMk2sdqWIZpMJoP19XXVasXhcCCdTqsqZFLkPf8/e28eHGl63of9+gLQjT4ANBo3BscAM5jdnb3Ipbi0yrqKMktMIkeRUkyKjJ1UpJhfosM6UqWIlkU7rohKFMtS/CmyI1myo0RSVJEl2TooR16L5pIUuZzlLjmzc2MG99GNvrvRZ/5o/J55+p3GDL6ewWAx+z1VKAB9vsfzPsfvOd5EAlNTU+jv7xfrG4B4/Nvb20in09jY2JCUAX0xAcO5hK9puOoforpOSAs0MxzE3DM2PeetWUdZL+YkMsyhC9BYuEbvlcnn/L6dnR25GYjdHMzQejdz7PS3DgkTKaVBredLw3RkZERaoxGdpaMxMDCA2dlZJBIJQV14AxkNXF09zbQIHcLvJl9S75sWZlwrzosHiXmFRFyp4DQv6EIHM3+QqSTkRxoB4XAYZ86cEe91d3cXExMTiEaj8jna+HBCkUgE5XJZnDXzLJqkCw24NjRstCHKiAadEs0fOleZ4+7kQLGQjRXRDHX//u//vqM5mjlUNAgof5gGkEqlsLW1hUwmI17+5uYmstkslpeXcePGDfT29kquKB1DosqpVApf+tKX8OUvfxmBQAAvvfQSFhcXxRhiAd7Gxgamp6dlvVOplKBcD8prO4y4djReY7FYG3LO8D+NIDopTOsw+ZpFEro3L8k8RxqFI/JZLpelVQ/BBPJot4jd1taWoPpaHns8HkF8yXecGw0BNkE3+9lSWdJoZON+8n9vby/q9boYGJwb2/tpucKxAff3fz0KaRmhw6rMMQcgc2J4fW1tTa4xHh0dlZQTIlb7+/tSsc+WROQVrlWj0Wpbxg4Kk5OTuHDhAs6cOYOxsbG21AqeW92pxwnt7e0BgCDovETI5/OhVCpJxf/Vq1elZVSxWJQewcA9B3h/f18M0GAwKCF/nZqnO0pQTjeb9zr8BINB6ZOuHXd+TrchdR1R0xeAMDpI3VQul5FKpZDL5QR0IQin9SeNfEYRRkZGBKGko8KwO9MEc7mcpOUxVYn7RpuA830U0hFRoOWwX7hwAc8995yMk3KHec46B11HI1nzoSMlOn2C68Z1ZYrE7Ows5ubmMDAwgJWVFRnXUcmx8UqlpZmGAy6Xy9L2QzMf0ToaLmwXEo/HcebMGQwNDUmrH/2+ra0tbG5uSn4Ue+JRMGjjjV66Vmw69+KopIWXRjd5qPL5PFKplISijrJeFMqs2tWGK8NLVJDMJaW3w/Vjjh3zbMy8yW7mqFMDtCLkAabSoPNB1IOFPUSgGOYkukDjjFfgspiAKIHP55P5NBoNMRoZjqXi7DacrvnC3E/gHgKhX6fDfMyX032INSJtIrF8jE5VJpMBcK+A6e7du7h58yYqlQpmZmYwMTEhn0uh7ZRGRkYkhFqpVDA0NCRdDcwG5fytx6xTFnSFtA5d6t67RKWZj0i0i+ke5kUazMMlYtff3+/YeDWjCzpsqUNvmUymrTAslUrha1/7GorFIm7fvo1cLie8GAwGcffuXaTTaeHLnZ0dXLt2TUKZ7ALCeTCPnykLRNZpaBANdupo0RBhZxU2MaeRR8Wh70/XfVG1I8HP4vMaqdON/TVP6Ep4KmrKFipYjdp240jS2WXkRTtQNM7pRAIQo5VpKyxUY0GsTgljJIz5qul0Wowqcw400Gng64iJ6dQ5Id0X2pSh5AmOGYB0JMnlcnKrYiKRECXf09ODcrksVxPfvHmzTQfptaLTvLq6Kq3vLly4IDUV2gk3ZbwT4nmnEUID1uO5115vc3NT+kYnk0lB39gjWYe+GRXw+XxigOo94fnWeo75p2xVx8I0glaaJ7pBl/WacL10XivPks/nkzz+TCbT5kQxoqAdP6CVT8qLYvgZWj9R9zDSx6JE3sxFZ4WOh9nBoBuinObehMNhTE1N4cyZMwgGg3LeuAdcY50OoGUC5RhlMgvn9EUO5IF6vS7FzZOTk1Lob47rYdQ18mq2byLzsTiFhiw3hUK4UqlI3ue5c+ewsLAgqBTb3xBRoSFcLpfl2jwyNYUQhRSVMRmnG8PVnKMW+GRmhlrNqs7DiPeGE3HlrUVMFaBwZuWyvjIXQFtuGG9TeVTG1carzrHivLURpvtJ0gulh+Xz+eRmMCJtsVhMPG7yh9m+hqgLmX9/fx/ZbFb6ADNE0+3+mYjiYfOngucYiJRQwFDIaAMCgAgyjo//M0com81KpWhfXx8KhYJci/fKK6+0jZPjcbqnAwMDougajYag+UeNNGijlqTzvTgmCiqtpNjKLRqNSoK/eRsXES2iDt30XiSZylcjF/p2NxILgrTBM3vQMzWfz2NzcxP5fB79/f2yB5rX+H0aRSsUCsjlcvI9RMl0P+luUTsi3TRcNe9qtFu/h9QpnYOyizLabENHucacPq2stUEMtPdA7oa47+QFGuCU1SxIYSSHV6RSB/AiFBo50WgUg4ODCIVC0m4nmUxKK79MJiPRiHA4jGg02tYH1VSKlAHaqXNCfL25R0TMzbO9u7srqUQvvPAClpaWpDCJMrNYLMqZ4kUo2tjR6B2dN6bq5XI5hEIhmT+LhKgfmabmhJgeoJ0i8pO+MIM5ybFYrK29IMfN3yYQoJ/n36Yc4loTQacuIgrP88gUE6dEPWA6+GZYnLYHC3p1CouWUxxzKBSSG8MIwmkZzXWkHUBdY362marVjSN5GOn5mV2PKAfpgDGdwHQyOEaumy6S5ecT4GEkgWeZ9SJOqSvjVTMxB8ycRw23awXCRSBc/MILL+DixYuIRCK4e/curl+/jnK5LJ43mV+jZDw0GimgcqSHoD2kR0XuTIYhYzEP5mGCjqkVrALXYXEa+qzKZqqAaRBzXfWtYUD3/foACGPpHFetpHR+ob6DmuOhIaebhTNsHYvFALQYuVarSb5sMplEJBLB2NiYOCLcV/IKPWpeL9gt6YIHjVrwwHF89GoZztBpBPr1VCoUZny/iXhpHqEy0jnBpmMC3C/Mj0rNZlP4q1qtthmPOlVCv56Pm2gs0N4Cj4aPFkz8n551LpcTp4brrbsc6FAsQ/TdkE7N0M6Dzg8kkkNitwiOfWpqCs8++ywmJyextraG7e1t5PN5jI2NiQDW3j+ROM0fRH50dww6zTwPTs8j0W065XQIzVQOfTb1j14jc81oKOqOK5qfufccv/4eTSai6JTOnj0r7+V68kefS6aaUP43Gg1JDaPe8Pl8ImfYNJ3KMJ/PCypWKpUkOsQKcK/XK1c46/OmjRU+fuXKlSPPr9Pa0MAhuqjRa7ZZIyLLwiMaXEQSqecASCoEP9fj8UiqAaNiTDnTaV3sJqJTGpym0QEQR0HvIfUrAR0t2zSK7PP5BEzQUQM+T3mrHRpd0W7uTydZSflMo6sbPuVZ1meSvKL3WD9OvcF562gvZWgoFEI8Hpc1YDRKh+EbjQa2t7dx8+ZN7OzsiJHXKdXnUQC5h5GpCzhmU47o1DKNqJuAhwmMdZJbbA84NjaGra0tRyBA18irNg41xK4hez0IPj46OopXX30Vr776KkZGRqSx+PXr16WFD4WqiTpoonXPcBRwr5+YZqBuDTzOs5PHqA3qw4hoJK+2HRgYEKFEw4+owWGGq57rYczczfyY6M8DaN5GxtAAUxnM7gJESonAsv1LoVCQcAnzSnUOLz03jZxRedJAp9HMeWtj66jEzwXam08f9llaIDJdwWzjZaar6Md0qFajdY1Gq3hrZmYGCwsL9ymPTgLyqEQjn3eLE3XlZz1ozQ5TuDQGtHesERTePc50BUYfyJs6ZYDfofPGuiU9NuDeHh2GCtKh0MqfBVxsu8c2UNpRIWkjXjsm+rt0bp2JPDglLU9N5URePgp/6L2nMqcRrsOpfF6jZzqEaH6eduad0vnz5+U79Q9lAHAvV1ePiw4IgLZCGJ2ew7NHp0mHolnhzmr1cDgs0RBTJph7+6d/+qeO5miGnLWDr68rZepNsVgUw0VHmDQaTd6kAc58ykqlIh0V/H4/VlZWxEDVOkmnTJjzc7qPTHkgH2jdqp3ew/R1J97Vzlkn47DTGE3e0WdFnyG9v0clnnETXdaGpJYRPJcs6jLzkk1ZMTAwgPHxcUxOTgqIxbqcYrEoaWWlUqnNftGOOsdwHEYsZYVOR+K6aJ3Gx2jL6DmaYJ8pS7Sc1OkK8/PzmJmZEfDqqNRVtwFt0GkvUwtZbg5RJ6/Xi0QigZdffhnf9m3fhoWFBWxsbOBzn/scvvKVr4hxw4Uwmdo0lE1jjkpTe23dGAV68fWc9TgehpaxApLNhtlTU6N8bPvxMMNVz900xrtVKF//+tcRj8fh9Xqxu7uL1dVVafxOge/1tpLHmYOr+9gyPxmA9NQlIsdelDReWfWqDzeJh1GnlPAzKBg4726oE2rUCbnid1Bx8ADrw0pDjn/rXG+N8gIQfq/XW7czjY6O4ty5c1J5TO++GyFLajQagq5wz3QivYmwaLRVP6YVZ7PZlGIERktKpZL8zXAWC2eIlvPs8/wTfec4u2lBZJI2jHXEwwxj8jGeNQDiZNVqNang1u/tZLwyOqH31kSd9Gc8SpTnQb8PQ55MY4TKlAiw7rpCGcycORpOHo9H8gh1aNqci1ZQTmlkZET+1p+v83Z1H0ngXqoUjVfKGMp+4F6YnvxPXmVxFltjsaVjs9lsOyemwdmto2ySCW4wHAvgvggPHQodzeF56enpweTkJKrVqlTTU88y4sLembVaTa5bZ5RA5+3rAt9u5ki9zM/kWE0kXRuUnSIGRPK0g8y8Ve5aN/yTAAAgAElEQVQ9dQH3kXPmWhIU0rn9XENWsYfDYdy8edPx3lE/aYBFj5fj0F11iDrrQkA6WUzpYA2ERtq1DaOLnXS3D+3EEOHknI8TgSVpnaiNeFMWc2+0DDYdEVP367Xulro2XvWG6pwvHlaiQnt7e2g0GhgaGsLLL7+M7/iO78Bzzz2HQqGAz3/+83jttdekb5sJl3OhOv1oA0RD8HqzdZjXCZnfw8e4mfwxF55eIb3loaEhyU0EIAZaPp9HMpnE3t7eAw1XEhnlsHCGU/ryl7+MpaUlBAIBXLt2DW+++SbW19cRCATkbmUKQAoMHhYi3VQiusWNZmQae51CP3o99V5TcFPAm62sjkr69eQhM0leE59nUjqNcY5d51p5vV6pNteIBL+LaSU6FYNhTxas6O/tdLCPQmNjY4JIlcvlttzzoyoojWRwv3jFMQ0boqtUyExjoeKh8uA+0mFlpTgFbTfhShLDgmx9R4O62WyK4Nct8bRhNzg4iMHBQQkpM8dTrwFwP4/x87kWFOJEyjhfHe7v9jzSWNYotkZiTQSNZ0MbI1Ru2ngNhUJSzc3zSYSFc2RXGF7RfZiT1+3cgMPz9TRKSbmh6wqYCkAgRIfU+X7TcKcB6/F4xCBgIQ+/r1PrNxqTTkmnImnnQqOQ2jHS49UpL3wtc6v9fr/cMMn2bET5eL6YHgFAuhXoM9tsNtuMD47XKZF/SNqZ0QVTPAcPkmsmT5t64UGgEHOedV40AHF+fD6f5E13S9qoogFpFk7S3qHjxw4LbAHKda9Wq1hfX5cOS9FoVOR0MpmU/Gy2Ek0mk6hWq3JzoO6vrZ2AbkGrh5FOd9OpD0zvYBQNgPAUHUHuKfeO8sp0WHl2+XixWMSdO3dw584dufL5qLKmqxu2+EOYm2FnGpE0AKhUotEonn32WXz7t387XnzxRVSrVbz55pv40pe+hOXlZdTr9bYbXkyjU3t53HwKIH4nIXgAbUZQpVJx1FbiMGST30lUlRXW+rXshxiPxzE8PCyKg0KZYaNUKoXd3d22XqIPGg9RFApuUxk4peXlZRE0t2/fxtraGlKplFRQM7QFtFpoaMNZe9n1el1u3gIgF1YEAgFJM2ARCg+8Dh1ow1ajAxqJ4Hc5Ib7eDGHpg9Fp3UwU7zCPEbgfnaPxx3nqUIs2GriWpG6F0Td90zfB5/NJARIrqc2ilMMMWT1urjsN9N3d3TZU6DC0mmvMlA/txHLt6fxoNNYJcYy61ygdvkajIcI/HA6jt7f3vr6ERDrYUot9UPnZ2hkkMSRNg0D30KUjR4Odt1N16q37MOL3Mp9W57VTvpk5gDpSoauz+RzXi8qXhTsA2tJgPB6P7JvOaTNTJLTs7ca4M3OBNS/pKBrPHfOpzfC63++XbhrsKNBo3LsZi3qIV8jWajVBbJnGwkIT5pvqc6edZad72GnfNfih+ZFyl3tOOaudKhbrUNdMTk5ieHgYXq9XeDMcDsva8pp13c5Jfz4d6G7ROvKL3jPtPIZCIWkZlc1m2+Q495dnmMa0CTZxbPoa3Wq1KlddU4/7/X5ppO/z+drAMz1Wp6SNLTMKR95n7jTtG+DeDVp0OHVdCsGAVCol37OzsyO3au3t7aGvr0+ioOxeMDAwgMHBwbZeyxzj4yhGN8k0kGlTEenld2rdotPlODauoY5oaefE1K/VahWbm5u4efMmNjc3AUCK4o5yFrtCXul98HDwsNHAYlIyK+0GBgbwwQ9+EK+88goikQi+8Y1vyHVvzP/Qjfv14aDHTY+KN2kQMSAzUXnRoNCFVU7nRzIRWJ/PJ6gqW1+QqFx5vzzvfKZRw1A7Owuk0+kjjc3n8wnSR0FswvFOKRwOi4Cv1WoYGxuTq0tpeLKAhQpbOxVE1zwej9wj7vf7EY/H5aIBzo2ChwLMVIoaqefnEqXTyfxOSDscJmJg/ujnKKB0/rYWrBTE7Cigc5C4PrVaq6cp0T7yDl+jEUiN2jjdx8XFRRSLRdy9e1fQfK67mSRvGg96Lfgci16IthO501d0ku8Y1mXBFkOzjDQQDaKA461QTknvkUZfvV6vGOqUDey2oI0Q3QGDTd11JTL3T9+QBrR4nvPgDy8XYQiaeW40MDr1Vn0Y8fUMk7Llli441IUvXBOeQ75WO/XcT4bjabzwO2hwMFTL5vAa1dRRFB316TaKZf5PmWiGIev1uvAVu5Fop0CjOgyX03nS1zlzXdjKLRaLtckvfncn5M8p6c9guFgrdp02w5vUQqEQ8vm89PD2+/3IZDKSZtRoNOQmKco/6lPKJt4uxZQJpiTx0iCm97CDC9FaPd6jkgaDPB6PIJ3U94wyRqNRJJPJ+1KRdIQ0FApJ6J1AFz+fY6Mx12g0pO1iLpeTvRwfH5faGHaJoS5jyplTolymnuK6U99yzuzpOjExIbp8dXUV2WxWDDyi6QSs2JuYe0xerdVa/WN5YUNfXx+mpqYwNjaGeDwuulg703SUH4fxqoGkWq0mV1AzWmGmEnE9iCzrVJROaDxfR70P3CskrNfr2NzcxMrKivQRBpydw65iedyUYrHY1kKGhiZzixiym5+fx/PPP4+BgQGkUimsrKygUChImx0aPkT56EETkY1Gozhz5gymp6fh8/mwvr4uxjN7jbJxNw1Wnf/khDqFR7iBfr9f7n+noc0DxxtO2BKLvc3oObGXKRHXwwxXE1HV38dQiVZS3dDi4qIYYIODgxgfH5fQlC7gIlLBObDIpaenR24LIbLG1i4ej0eEZrPZlPZgvMiAuUAU8BrJJQJEVAR4tK4KDzPuTfSxXq/LrT9E7XXeGNCet6aRLxoXPp9PbkHTRvdhqSZ6rE7o2rVrUnzEO86DwaAY3xyXGVo2QznaY2ZYrL+/H6Ojo5KawN67ACQnlv2XeXsQb0vhDWLsQsD16yZtwNw/opzM7eOtWfF4HJOTk22GPNCKGszPz2N4eBhbW1vY2toSpxdoKcTd3V2MjY3h/PnzCIVCqNfrWFpawsLCAra2tqSYSfcsppJkjjj7EztVKJybbgvI/HIqKAp7Kg2dT8lqfAASeeJ5pQHHc8Yexs1ms619FuUMoztMAdL53hqRdUq6iJCk/9ZIDFHTXC7Xhgiz/y0AWXcaozSoGN3RYEEmk5H3Mgqoi4u0bOFZcEr6/OiQs56XNroHBwelh3CxWMTKygoajYak6xBV3tzcxI0bN6Q+ggYOq/oJCt25c0duemJ9Bb+TcpwRNc63G+PVTBOkwej3t66DHhsbQyKRwM7OjkQraFwTbKI+mJ2dxejoqOiY1dVVud2OBagzMzNiKO/s7MglRSMjI1L0RIeba0K51831sGYqg/6hbKTxyiu0iZ7u7u5ic3OzLR2E66Pzfjk2s28u5cjc3Bzi8TjGx8cxMDAAj8fTlgZDB6abdmcm6TPo9XqRTqdx8+ZNXLt2DfPz8/f1Y9ZOFHmdsohGLiNFBKGAe1FQnjvyob5NTLc5fFDaiEmONQqVIgU4hU2pVJJCH+ZaAUA0GsW5c+cwMjKCZDKJra0tVCoVjIyMyM1LDI0TOWL4zONptVKYmZnB0tIS4vE4dnZ2pP0Svysej7fdx8skavb3c0KmwaqVPT3HoaEhJBIJxONxJJNJ+Hw+MTBZ+U1jiE3MyeQPQ1w1U9GT5lrRQNcCtxsmfuaZZ6TTAavWeauNbhnC6xXZjkWHTSiEBwcH5c74RqMh12xms1lEo1GMjIxI4RqVM4t8iP7o0ASRLie5Lw8ivY+ml8iDQoSLwkIXj9BI5Z7xPWb6g0bKmCpBoUevWSNowP0Vmk7oj//4jyVHiC2GgHv5XyzU0aiVydPacaDSDYVCmJiYwNzcHKanp4UngJbhmkwmkUqlhBcGBgYwNTWFmZkZaYOmw9o6ZaYb0ryuDRkaY1Ta8/PzcpUrjddYLIZEIoG+vj4xVBmmBVo3B92+fRvBYBCLi4v44Ac/KE21c7kcbty4gb29PfT09GB8fBwTExPo7+/H9va2KGM66d1cncp9oMGdSqWkRy2VlM4p5JoSiaFiY0iciDeddn52s9mUDhFEXonoslsIQ6E6fx2453R1mzag95HnRufs8gxwDVjgSf6ic8yoGqN9/DydylWv1+WKUOYjZjIZCTdrVJn6RSOv3eSDmmCDDjvr3H/S8PAw5ufnJWp148YNKWzl3vh8vrabqnZ3d/GNb3xD0Hkikozu9PX1YWFhAZOTk+Lk8LIV9hlnFNBM4zgq6bmQ74j2Dg4OYnp6GmfOnGm7ApopE+l0Gqurq5LCMjExgaGhIezt7eHatWt45513cOXKFTQardvSvF4v5ufnEQgEsLu7i5WVFWSzWQwNDWF8fBzj4+Nyps2CYBqD3ZApE3V4njpAA2ZjY2NyYdHGxoZcCqEdSDP1irpVpyT4/X5MTExIK8lEIoFgMCggnDZ2zZz7bsnUrTs7O7h06RLi8Th6enowOzsr6CtlCL+f+0pASxuvnI9O4aTxrtMJGAnrFA07KnVlvAL3rjRlc+JcLifGFa9C43WoExMTaDabcvuGx9O6HlaHfIg8cGE8Ho9cHTs5OYlYLIZyuYw7d+7gxo0bcp/4yMgIhoeHEQwGxeDijTv61opHITKe19sq1hkeHsb09DQWFxdFiLIilMgoGZjN3XndrfYyHkRsh8JbLxj+NJuYd0MDAwMiXBnK4Px0g3BdaEYG0yEyrTzovS0f3DFPI4poFhH1VCqFZDIpxU8acaXi5P7rJPXHSXrteOB0eFYjlDpvzURXtOKj18lQJftQMj+T0Qgefn6v/g6nxHA3U1SAez1OiQTqcLO5BhptYN8+IvG8ZpKIFwU3w3M9PT2S203+DIfDklag+zAzL7Eb0igRUV42nqdzGolEMD8/j+3tbbmemAZzOp1GoVCQ86eLI1kswDx1KsVMJoPLly/j61//Ovb3W/ernz17Vq5NpNL0er3Sw5nhTydEPqzXW1eZ7u7uSkoR02+IdrDhPHNjNRrEFAHKFqZUcN9o3JKHiZgwLE/Ulfyv8/ZovGqD1ilp/tYRC86PaRi5XK4tn5nyU1+kwPQtEl+nn9eINqODugCG66PTLYDuUge00tYOLaMEvIgmnU5LeH1+fl5uVbx165Y49UB703p29eCZYx4wOw4MDQ1hYWEB73vf+3Dx4kVMTU0JgMDIF6OS7HLSjdFDna5TBXk1KvPZp6encf78eYkG7e7u4sqVKwgEAtja2sL6+rqsfblcRjQaxd7eHq5cuYLLly9jeXkZjUZD5n379m309fXJ/AcHBzE2Nobx8XGJ4jHCp7tSdOtk6dQuIo71el2cOso0drEIBoMYGxuTK45TqRS2t7eRzWZlnblenfiFOo7g28zMDGZnZzExMSGAAe0X6ln+PC5gh1Sv15HJZHD37l3cunVLHCHdx5WRHJ3PSx2vHSIdpebZ5PrSMWAu8OrqKjY2Ntp0w7GmDXAw3EgKch4sr7d1ldjw8DAASB4akY9UKoVGoyGoG5md7WsYhtP5dtVqFXfu3MHy8jK+9rWv4c6dO+KlnDlzBsPDwwgEAnKo2A6H3qcTelAOIoXSwMAAZmdnUSqVEIlEBAkhgkDkqVpt3RDDzgJOUGCGSGZmZmSO+lpZjqcbI5ZN2vVd4US/GX7Tz3NOfF21WsX29jYKhQJ2d3cRjUYRCASQy+Wwubkpe0w0ZWVlBb29vYLWE1nheuorRs0bS7oVRFyfw8KVJgpJ4439FHXz/U6fxffq53VlNKszmVsciUQwMDAgAkGPoRv6yEc+IuPWglx3RtDFYZ2MZD7GsTO3mnlzVPY6V7DRaIghwGsoGfmg4aP7BrMCvNtuA3qNGIkYGhpCKpUSXopEIkgkElhYWMD29jZSqZQo0EuXLsHjaRW15PP5tvlXKhVBtahIe3p6sLe3h5WVFeTzeYyPj+Oll17C4uIi+vr6xDkul8tiuLKjiFOFwpAkw4nJZBIbGxvY3t7G0NCQhHtpIDSbTYmW6FAkFQzJjAwA9xcG0ghkAZSZ70qFpJ20RzmLHKvOc+Vnm+kClNmVSgV7e3vi/PX390sltt9/72reZDLZFm3Tzi9fQwNOt6gieqRTG5wad1TIunAOaBlS0WhUgJStrS1JO5ucnJQWiZlMRiJVXF8iw2YRGedFA4vh9WeeeQYLCwuIxWIoFovY2dlBLpeTSAp1Bt/rlHTrJsqWbDYrF0ZQF1+4cAGlUkl0NIuxuTf1eh3r6+u4dOmSpBbpq9aZCrO9vY1Lly4hGo1KSs/MzAzOnj2LeDwuyB3Xlqk9rNnopjWfjq5qXiD4QsOa/Mk0wdnZWeEBv98vV//yNi2d7qM7GFD3cd1efPFFLC0tIZFISHqLWeD8qKDVYUT5USqVJO+VaCpTkWioMgKpU0n0GedzWtdQH1LelUolbG1t4caNG1hdXW2zi47VeOWHE1XKZDISWmauH6tz+bp0Oo1UKiWMSkau1+vY29vD1tYWMpmMFLow1MywQTqdxu7uLq5evYqNjQ25h/fcuXOYnJyUK/TozVJxdZO8fVg+kGbu/v5+TExMSH5gKpWSq/E8Ho/k8tDjZmELP6fTBunHWSXN5vbT09MYGhqScLo5Jqf0+uuvY3d3F+VyWaodR0dHxcDM5/OSnsFQpW5nQ0bnzS5UfHychqn+LN1bUhvLulKVB11XrJudJ45CD1oXvfY09Hiw9C1LANpaMpmKXwsV3WWDyLgOGwUCAYTD4fuMnEcRRBcvXgQAuQiCSpjfWygUBM0+DH3lGJhb2Ww227paaESL3j/RFp4DFiuZPTt1ziWLM5wS15wGmt/vl/7JsVisLbc9HA5jbm5OFMw3vvENbG1t4Z133rmvAwM/m7y2vb2N7e1tvPnmm22vmZubw/PPP4/3v//9OHPmDJrNJnZ3d6V4ZHx8HCMjI5Kn2E21OqleryOdTuPu3buYmprCyMgIotFoW64ZQ7amQ6nnY/KWWRSoHZVYLCZpTkw54HkH2lMGiJw4Ja3QtLKj4cpCEaKPdBr5HtZW9Pb2igFPY6pUKrVdgqK7f/DMEiEnEMLUNjrh5C8aoN0gk2aUhiHWaDQqwM3e3p7IutHRUeFVykbmPXP+unqeCDUNNKb2XLhwAa+++ipefPFFjI+Po9FoyKU3vKSBvKkLkbpB7Yg26tsQ9/b2pG0VL2OhruDtkQQ5iFySD7Ts00VkTPdgelA8Hsfi4iKWlpYwPT0tIAlvpSwUChLZ02Fpp6TPCPmDzp2WQUQhGa1gKhEjr9FoFDdu3JA9oPHH80Oghsbv2bNn8fzzz2NpaQljY2PSEk0XeukUFHO9HhfxHDJKnEwmpVuHjryYaRB67fg5ZmElzwdTnVZXV3HlyhVcuXIFa2trXd+m2RUcoi11MnEymRRkkEKP3sru7q4siDb0iMyxZRSRNz6+u7srSODu7i6SySRisRgWFxfxvve9D+fOnUM8Hoff7xfofnNzE5ubm5Jb2o0nzTkeFmrVhVv1+r0rRYF7BlEmk8HGxgY2NzePBIvzcRrws7OzOH/+PBYWFjA+Po7+/v42w+9RDJ/Pf/7zkig9MjKCF154AYlEQpCd1dVVrKysCELL9h0UVMC99BFdHKIZW49Vr6cO02vD1ayg5PuJQjgh/Z2aTKOTn617hbIZOl9Dwcv/TaHLtAkKJCoLIo/8bCI/3SoPk3ipBJElGslUwGygzZxJCmQtcMzUAf5oRJav5f709/eLINZClakVNF5p9AMQge+UNEqkHTvmshLhZb/EwcFBPPvsswBa5+jtt9/G3bt3O8qAB+2B3+/HwsICPvCBD+ADH/gA5ufnEQqFxMhtNBqYnJzEwsIChoeH72sL45S4zoVCAaurq7h9+zYmJydFtjGthp0OfD6f9IjWjl0nZN383+fziSPFe8V1Bwfdqku3ryMPdENa8XGduLds6cQzpvtGU+kDkHxWr9crZ5Z7n81mxTDS55M8aYa56eSRL2kgdEOdkDF+nkZ5K5UKUqkUfD4fotEozp49K4Yc8+TX1tYEVNBGnj6bkUgEMzMzuHDhAl544QW8+OKLmJ2dRU9Pj+jZUqkk/EKUmuvR7RwJNoTDYXEqCFgFg0EpzJ2bm5NweCQSwTvvvCM5qwDuk+VaDjE9IZFIYG5uDs8++ywuXryIpaUlTExMoLe3VxwWgisaZdfV8d2SyXfsvMKzx/oe8jGr/2mMsrPDysqKOM20Q1joPDAwIIVnc3NzkqLFvHY6cURrtbGq0xseJzHFanl5GVeuXEE8HofP58Po6Kg4fgRlGFHTjiLXShvYujVas9lEsVjE6uoqvva1r+GNN97ArVu3JL2lG+raeG02m1JFyHwP5k0RZWGrEDIEhQWNXoYTaPQAEEGUyWTEAGbLouHhYVy8eBGvvvoqLl68iEQiIb3QcrkcVlZWcOvWLWxtbUnKQLfMbL6PB4zzZ/4dUQo+XyqVkMlksLa2hvX19bZk5Id9HwunZmdn8dJLL+H555/H2bNnMTw83FbE9KjGK3OiyuWyIDoslCKKvrGxgdXVVezu7sLn8yGRSGB6eloMdx2OJlGxaoSHBo6ZX8k8PiJ3/DydU9stmWMyiWPQlcc0NDk//s2cTdPL5OHU7ZSY6sLQCAWWvumIY9KGfTe0vr5+Xz4ou23wTOXzeXGsNP+YQodjMgWT5nkqF70/+jPoCBAV1GFUM6x9VKL80PzOvOyxsTGUy2Vsbm4in89Lu73x8XHpeBKJRDA6Oor19fW2NCI9Firlvr4+9PX1SWeTixcv4uWXX8bs7CzC4TDS6bQUavX392N+fh5zc3OIRqMi35war1w/Goh00m/fvo3R0VHpmRyNRgXdZ6NzOkUsnCGqaaKHugCF7yHiGo1G77v5jzKTkRLyhdnmzQnpMXEcjMLU63UxiEKhUNveaP7S+a4cB50polv6ffp/omQaUWOrLRqXunDRCZkOIcdFWRcKhcQ4z+VyIjOGhobwzDPPIBKJYGJiApOTk7h16xbW1tYkWseIBaMhvb29GB8fx4ULF3Dx4kUsLCzgzJkz6O3tFbCHvXHZ+1gXbeq1dEraeWk0GoIS7+zsSIQnFotJ/v3Q0BBGR0cxMzODmzdvSnSVkTmNwhNJj0ajSCQSmJ+fx9LSEs6fP4+pqSkpRuUct7e37+uRTvuiWz7Voe9O+6kvpGGND9PBotGotAlkm72NjY22Vm7k73A4jGg0ing8jpGREQwODopsZsie6U00GjXy+ziidofNP51OS64xz1Sj0cD4+Likn9Ap09FYDXZQdpjObyaTwcrKCi5duoQvfOELuHTpEtbX1x9Jz3dVsKUPASvSd3Z2REkz8Z/9XgcHB9tCXJwYbxLRCg+AhH+4GMFgEDMzM3jhhRfwyiuv4MKFC0gkEtIvLJfLYW1tDdevX8ft27cljMpNcUKaObjw5gYxd4WtpfSGJZNJ5PN5QS2PQh6PRw7u2bNn8cwzz+Dll1/GhQsXhHEohB5H2sDo6CgikQiq1ap4gnQ46CzopukaIWD7E1NAMFTm8dy7sclUCDT4NErJ91D56wRvHX5wQoehvnyOY+L49EHUt8XQ8NT5m1TkzG3VoXndFkQjTBqd1GjmoxARX51Dtb+/L9X2DJ/rNdEpCyafm1XX5rnReUym4atTFZiqow1fvr8b0sgMx8DcV/Ioi7F8Ph9GRkYwMjIiBsLi4qLc4LK+vo69vT1pw0dDinm+o6OjmJqawuzsrHRbCAaDkpe4u7sLv9+P8fHxtrZgFPLd8qleo3w+j7W1NVy5ckVacOn+tuQ3okHca6LQuj0PFTnfz3NHuaxzmpnqBNyTz3xOh9WdUic+o6wkQkdEit9lOlVcG/1Z5FNTqZv8yXNII1Ajuzq/EeguHNvp9aajrm8oYj/QoaEhQerGxsakAHh9fR2bm5tiiNIoJFJOtG5qagqRSAQej0fAiHw+L/OkUa/XgOvoNA2LTiQA6d9JXt3b22vbWyKx09PTkt73wgsvSNSCN0vRuWckYHBwEIlEQoqy2PedBaNMP9vc3JS2YtRBphH1uFBJLXM0Akv9yFqd0dFRjI+PIxwOY35+HiMjI4KcEv0ngEB5rbtfMFWCbb+azdZVxrSniHR3OhePm/b29vDOO++ITgZa0RH2naV+ZPcP7iHPpAmUMIWEiOvrr7+Or3zlK7h9+3bXRbykrq+H5eCIktIzJDpDpc3GwvomDrZeogdDRauZUIdbx8bGsLS0hOeff15CdUS4MpkMbt26hbfeegtXrlzB+vq6JH93Q6ZnYxoZ3CDOk0KQqFs6nUYikcDIyAh6enraKvIoQLQxxybPrPA+d+4cLly4gHPnzmFiYkLy3kimF92NEbS4uChj9/v9UlxXLBYljKbzwyqViigbFjqwGEgbFiTd+kpXR1IAUHnSM+N8NF9pxfQohp6JwmpjiGPVOVja8KLw0K2fqMh1qxMKIebu1et1ET46lNhpz7rdRyK9NEKY851MJrGysoJcLieGN40Cpmdo50KfS+bm0qjpZAjocRLtYAufQqEgKIN2/Ewk7KhkItTmeRseHpb5Ma8egBR1DQ0NYW5uTgzYlZUVJJNJMbB5jiORCIaHhzE5OYmpqSlMTExI66Xt7W3cvXsXW1tbAIDx8XHMzs5KCy4tJ5zuoeZ3Ur1eRzKZxLVr19qcIzqxlKvageJVodp45XrRQGf+I4uzuJa6MwQVUScE8lGcD85Vo/uUo5T1TlISOvHTYfJeG706XYG8r8fGx53QYcYrzxcdDfbHrFarSKfTqNVqgtSxxmN2dla6sbA2xOdr9Y0eHBwUg5dGK4s0iUJ6PB5xTrR+MmWMU92o14nrzq4BbOVFB4gRA4b/E4kEFhcXkclkkEwmkUwmpUOA1jMsfuStlDofmvPkDXk8u4ye6fXmnj8qmYi6qfNZmMr5A5CLUois6nNEA1hHWfSlGnQeuSZaR5rpeMdJlUpFZB1TGNbW1qT37MTEBM6cOSMG1PwAACAASURBVCN6B+h8iyNTdVKpFNbX13H58mW88cYbuHTpEpaXl9tuOuyWuu42oCtTi8Ui9vb22owVbZQwmZn9KAcHB8VwzefzbYIXgAhbGnVsgD4yMiKhEKBVrLK6uoo33ngDf/mXf4nl5eVHMlw1meFKPqaJxhjRIH095fDwMHZ2dqRIrVQqtfWOoxJmj7yZmRlMTk5ienoak5OTUgjCgwk8vlDB1NSUGCg8VMwNKxQK8Pl8GBoaEuNbe1QUGAyvc791eoj2VHk9LgCpnNZpAkD7NZ0avdTPO6FOr9fIJ7+DfMvm4DocQsSEypwhVK3kdB5fvV7HxsYGbt68CY/Hg8XFRbnZRxfyHGasOp0jL4wgQkYhury8jOvXr6NYLEplLnDvWmfmONJxYK4oBTLDWlphmb+1V53L5SSHndEOXSDWbXsejtkk8hoV9cTEhKA+bDVVqVREifLyjZGREZw/f76tjy8NJyoLprGw48Ta2hquXr2K1dVV+P1+qXgmqqTPTzfGa6e5AZB0CJ2DXK/XpTiVZ457SAfLrP7V0QXtUOp8U91WS3cW4Pt1elA33QY4Br5fh+nNHGv9HlPmdXL4HvR9mjTP6gJQrg35sxu90Qlxpxzk57NtHo0WdrlIJpPSC5vI48DAACYnJ9tSOBgFotNRrValsIZRRqa86I40ZvSJ5BSZJF9oJJ7OE1MBNzc3pdPPxMQExsbG5Na6QCCA4eFh6Qmt27bp6IC+pa5er993sQ/TApgbqrv88H10xJyS1g8EYzTYoZ19HSlk5xEWptE5ZLTjsFQxpk8SQGIRJUEJHd3k93K9TIf3cVOz2ap92d/fRzKZxPXr1yW15bnnngMAnDt3ToxXOhDkzd3dXemacufOHVy9ehWXL1/GrVu37muN9SjU9SUFWik2m822m2t0qIfCgsnybEcUj8fltgmTmemNsfPA6OioKFQqTfYJ++pXv4ovfvGLeOedd2RRzBCtEzJDU/yb8+H//CEy0mg0xFOKxWI4e/asXMrANj0AROHQIyfiMzExgcHBQcRiMam01PlKhynHbph4YmJCDDN6zCyoiUQi0qaL+6P3mrk7zJvTRUIahaSBywOpDVqul7m+OmxH3ukUwn4YmXtvOiAUCvl8Hjdv3sT+/j6mpqakaE0jV7r5tVYEXDfml2azWbz99tt46623EI1GJXeZBrE2fB8HbW5uCrrP0BNbneRyObkNhggB58xrnCkcyYPM3dS5u3SyNHFfiLrQ+dRoiF4rrn83eWi6AKcT//Os8blAICC9lNfX16VBPS8yGB8f73imiAYSOd/a2pKWQ6lUSqqKz507hzNnzrSl2QDtSJsTOkw+cT+3t7dx+fJlAJAzOjU1JVfX0oAwDTt9rvhDviZiRoS22Wy2hfH12eGcyAfdGK8abTKRZv2Z5vnQYzCNcTNao9+j+YRz1kZJJ+NcG9FOz6hOq9Drp/+mg0SjnZ1oeGELu9LomhE6/jSUWF9CY5HnnPUK4XC4rZct58211+kVTvUi+8rSyNJFZjSs2HM5mUyi2Wzl/FPn67oAnkdNDIvr+TGawxZqvLSCaToMRxNxplHXDY8C98A4vTbcW36+ruGJxWIiK1kczhTGTCbTZhtwjtrQ5l7wJivaRnyf2ZmHDocGBo6TaGNlMhmsr69Ln92NjQ2sra3hzTfflFxfdiri7amrq6vY3NzE9vY2VldXcefOHayuriKTyTwWVJzUdcGW9jgbjUZbv1AtKFkIUKlUJEzCVIJORiHRObZpMNs1sGrz6tWr98HQZv5FN2gID/zDXkPSjM1ChEgkgvHxcSneYpiEB5BGA0MMrLgnIma2xtDfawrnbgz0qakpMaLZoqVQKCASiYjnSCXHVkQ6rEEvn6gqDyXD2MyHYjN7Chzur1Yih6EuVKqA8zBQJ3SzEwJBI4d5aDoHlwqA4VTTsCaKwv29c+cOvvjFL+Ly5cuYnZ3FK6+8AqC9e4X5/Z1QpaPStWvXpMiBApKhOuaC6hAicC8thPnazDtmIQF5UyNwOn2DSrRQKAjP6Kt+9fsonPnTrdDqxOOaZxhW9XpbhVxsz0Nkizn38Xhcoj/6fNEYz+VyklPHfHW/3y+FitPT00gkEm3V23qe3exhJ+eA8wMgiBbHl81m8cwzz8g1kpwLx9OJn0zHjaHAUqkEr9fblnrC13RCnID7K8WPQroTA2W4aXQ+jFf0eTZzyM1CrU7vMY1Z/TgdbtPwPSppMMc0+rXzpcPOevy8QIOFT8xN5p7o8DmNVeYk02jV199qntIoqZlC4ITIKzw3NFw9Hk+bHmNdAGUiwYtoNCqgjDaCGb2iTNE/LOzShX7UV9RNTMnTz3crZ7g+2smhfNCfD9y78piv5WUUumiVqTFmDYc2RnV7RRqr1JHa6NXn0QQGjpsajYbkKLMPNVsK9vT04MUXX8S3fuu3or+/H2+88Qa+/OUvY3d3F6VSCdlsVgr7urmy92HUXfko2hcVuIcW8DkqOiYj09OMx+NisNHr0PmRDJHom6qodIvFIlKpFO7evYu33noLb775Ju7cuSNXIQLoiJQ5IVPYmc8d9nqN/hBdbjQaGB0dFYZmEjcNdBqK+jBrZfEwJKBbJp6YmJDP5rWSRFFjsZiEIYmusRAHQNvB0rctUUCxtRm9Zb6WwoaesqkYO62/NmSdUKfXd1KarN7mvLSBrYs5dL9TjWqw7+bOzg5u3bqFK1eu4MaNG1IFzjno3514qpt9vHz5MoaHh6U4iUJU3/sNoE3Z6/Wk0Gf+MueskVPOWbcVYv4ZG8oz7KUVp2mEdFPM1Gmt+JjpCPh8PgmZMi3C52tdscnwI8NZ3FeSXg86ax7Pvdv9FhcXMT8/L1dxavSE7+3EW92S/hyirfqa5o2NDSwuLkqkgPPWXV7MuRFA4GcToed+VyoVuXFKo0U0OrUSd0qa78wQaidjk7rDXA89lgedmQfth+nUmsawfs1RqdMcTKfERM8IXhBto3HAHq+8ilTvqe6dTP2hC++009iJL3VqRDeAjrkPnIN25FjIxMIjorHUf5lMpg3p1mPWudc0BLXhyHXQdQcMy5t82i36quUJeYxyVI9Xp7ixCBJAWxRT9wcH2qPQ/A4COzRcgXsAntY/2skywYUnRdyXXC6HO3fuyOPlclny/z/3uc/h9ddfP7Qt4lHtmaOewa6N105EY4hJ1VQGvLM6Ho8jnU5jcHBQUFgijgwrkIk5UYYHdnd3sba2hlu3buHWrVu4e/cuUqmUKButmLXX6/SgHpYPpD+nk8Dia0zDiwePYSBdKKKN9MMEs97wx+VxDQ8PS74bPWca3gxHEqXRvR85FxYd7O3tAWjdIc9r+9iiSeddUejq63o1AsHXaaPARIyckHkI9G8KpGaziWg0iosXL4qioDDWAtkMK2qjjutCA0Pnf+oWahp96aQ8yLNOiD0hmWdFhIUoI7t45PP5truxGerj/rLJN+eqDVGtDBja5C152Wz2vsIbbdgfdkackLlv/Fv/mCgs704Ph8PSA5Shx1QqJY4YeYDOJovW+N5QKCRrSXS7U9qQOSanZAp0rSB1QWCj0cDm5qa0J2ItAC9KYCTETIug8c4eqWafZsprtmUaGhq6z8gkDzyK/HmYDNOyW6+JXlfTOOlUXNZpDx70nfxtoqdHpcN0zGFGtpYlLFRjizCts6gjiKjWajVBN5l+pc+pOX4dWeh0VpyQ2aie689xaqOWBZBMk6Djz2p6kjbedMiedgBRTKYUaoOUea9MR9MymYCKU9I83glc6ZRuov9n+gTrdfgeosvUt2avY10Dw/fo4mj9fZTNBBveDeT1eiVVJJVKdX3hQDdn8FiMV7YW0jdNsdqQ4QP2GWQjZe1BUugyPMDr9VZWVrC8vIyNjQ1pnq83URuMZAinyemdPFgTPdPzPQwlNJFpfRDM8Koev4kYm8+b1I0wohCkwNQhIX4nhYFWHhRg2WxWemsGAgGpKmUTaR7OQCAgIU8drmw2myK0uNfa29WCohvDrhNp4c15MX2FhqjZi9RUBkB7mx4zv5OIiXn7Uac97MRLTojGp64wp/Bn+gNTN+gwsNULlQPRRp0aoY1X8yzWajVsb2/jxo0b2NzclBvI9Fp1Qrf4Ny8QcEKmAduJ381iQZ3nyqIPOlvZbBZ9fX2CROrbz4aHh5FIJOS6W+YT68K8wxzMRzHs9HuZdsRWQSzA0Ygkc+s5NoZrde655lPyChEeOmlEeShn+Tryru688agOiP7/MEPf5B3zNTROtJGhz9+D9uWw/THH43QfO4EXJrKon9evo6McCoXkOb3PNGzZLsm8gUw7Fg+b/6MAIPrmQV2DoA1knj2CMv39/bJf1DXkLYIg1P1er1dkET+H3Wy8Xq/IGV0bw/U1I0U0Crsh0xnVc+3UwlGfMa6HrmnheaNNxMf5Xv2j0XndEUPPSSOv3c7xUUnPob+/H319fW06j0XelJ36shptoNNh0frDqYzp2njtZGjoAXIwzAukh8/8HBqwZvUzhaa+hi6bzUqoksUomoFMb1332exmXqai1AU8em4matLpMX6mfh8/q1Nqw4OUf6exdkNUXmSwTmEc8/Dq/aSxQwNhbGxMEJ1ms9nmITLMRZSPnhnRLY1GdppPt0pTU6fP1nxDFECHasyCMXPP+TcPouZBohM6X7STgjxMSR+FzN68QDt/6u+n4NXFJUTcTaGhEXE9LxZkrq+vo1qtYmdnB+l0us3g1+kumqdMpMIJmQYxv8NcW5NXaRwQkWRbLTrWOkWEaI+OAOniDHONOgnaTrLwqHPT/BAKhaSn9eLiolxQoOdIJcYx65xHU5nzM2msMsfOvGpao7a6g8ajGgQPm7v52GHP67CrXjPzXB5VJh525pyeRe00mVGaB72nk5FpGuQ6Osdz1gn9N6NVneTNozhXusBWG1k0RLXc5PdxrNQFGoUlOss+t9VqVfqjMxJkGmjNZlPSDxi95GtMBL6buZppQJSVZtGw/tskLfe0YU9Qg8XPGl3l3ExHjGPSe9ttKuTjJMo4RsfpWNDxNfPizbWi7Uee0v3kndJjx5554HSTXSoC5vWwdQgT0T0eT5tgAlo5PjrhV3tcrMozFYZmLD7X7ZWGh3nt2lPq9B7g/hAD0I4c8fDrXqnmd5pK7UHjdEq6UfeDFIjpefIA7u/vS6HM6OgohoaG4PO1WkKZhg8FO/NDaThEo1ExwB4keI+DzFwrU0Frxc010OiGacxqA5bepEawTHocRrrZSgW4VzipPWA9fiIAutG9Rjg4Nh0h4FhDoZD0IE0mk6jVatKvspOxqh97FOPVJFNR61ArH6MsIYKjnSRtkHHuJO4dc/f4fdqIN8k0pJwQDQC+n2OdnJzE0tISLly4IKgbgDbUhopVK1UiU3qs2uAFIHyp00L4vC7a0vPjOeg275VjPip1Ov+dHH8+3ilF7EEyupPMexR58yDj8DB5ph83nXd9XsiTPLtU8gR7TN40wYbDxtvN/MzPo3w/zGnTuapaN+qCUeoNHf1jpIOonEZjNcqrDbpH1RtahtIY0+Mwo5Cm02CuKc8KZQmLngG0RZg72RZ6TOb3mEDdkyZ9ayltNO6TThmgXiV5vV4pnuXlE7QJi8WiIPPUnUeRNV0br6ZXDNwTvmz5pO96Z09N3kvNNIF6vS6VaeVyWYzTWq2GTCaDYrEoDM/DSlSPB1grZh5un88nN404pcMOt2auwxBnzcwaEdBrpX808tjJYH0Ub/Iw0qiSHjv/1v+bgovKVvcVJIrTyWjXr2W+Ids1sbuBWT3M3+ZnHZW0MHvY+03Ug9Qp7Ge+j78peHWiPYWeEzTICVHINpvNtk4cxWJRnEc9PwBtxSDkOxbqaEGpUQ2dVxeJRLCwsIDe3l6cP3++rV+qiQyYZ8Xj8eBzn/ucozmaSp2P6c/XzqB+nt+r88OI3NDJYsGMybfaMOoU+u1kKHAdnJI+W+ydzHAqAKm85vOmcWIWpxyGwunvMdeUBUCUszRmySOcXzdX/D5s7oeRKYO0c3XYHpg82On7HofjqMkEH7QMMw1/UyE/yLjkZ9FB6SRLOp0L/s21MGX8gwztB5E5Dy2ndXqJiYZ2ki2MDrBJP9MFmEbIOhemmVFPRiIRxGKxNtmsEXnTBngU4tzMXFWSlpN6PKa+1utmAlgPMkRN2dkJYT4J4lh0uJ+k+Zv94Ll3tAtHR0eRSCSkuw0NVcqXcrncFqF9EDk2Xj/5yU86fcupop/8yZ886SEcO/3Ij/zISQ/hWOkHf/AHT+R7X3rpJbz00ksAgDfeeANvvPHGsX1XIBDA5cuXpQ/o00g/9mM/dtJDOFb68Ic/3PHxdDqNP/qjP3rCozke+uEf/uGTHsKx0s/+7M+e9BCOnX7u537upIdw7PS068QnYbd99KMfPfbv0PRk+y245JJLLrnkkksuueTSI5DnpHInXHLJJZdccskll1xyySm5yKtLLrnkkksuueSSS6eGXOPVJZdccskll1xyyaVTQ67x6pJLLrnkkksuueTSqSHXeHXJJZdccskll1xy6dTQiV6Qa1nWFIC/B+AjAOIANgD8SwCftm177yTH5oQsy/oMgPcDOAdgGEAJwB205vK/2badVK9dBPA9AP4agEUAowD2AHwRwC/Ytv1vn+zouyfLsr4XwLcAeBHACwAiAH7Ttu2Pn+jAHiNZluUB8F8C+AEAzwLwAbgK4J8B+Me2bdcf8PZ3DTnhUfUeD4D/Aq35Pw8gCGATwJcBfMq27WtPZvSPnyzL+gSAf37w7/fbtv1/nOR4jkLdnDfLsj4E4FMAPgigD8ANAL8G4JfejbzbJZ+emjm+F/bwMLIs62+iJTcfRA3btk/m7lMH9B7fR8dn9DjoxJBXy7LOAngDLcX4lwD+IYBbAH4YwBcsy4qf1Ni6oL8NoB/AnwH4RwB+E0ANwM8AeMuyrGn12r8P4GfRMlr/CMDPA/g8gI8C+HPLsn7oyQ37kelTAP47tA7w2gmP5bjoNwD8KoA5AL8N4J8C6EFrn3/7wMA7DeSER2FZVh+APwDw6wDGAPxfAH4BwF/gnuA6lXQw118CkD/psTgkR+fNsqzvRmu//iqA3wPwj9Hi3X8I4LeOb5iPRE759LTN8b2wh4fRmwA+fcjPnx+85o9PZmiO6b28j47O6HHRSSKvNoARAD9k2/Yv8UHLsv5XtBbnHwD4Wyc0NqcUtW27bD5oWdY/APA/APhJANbBw38C4DO2bV8yXvstaDHD/2xZ1v9j2/bGMY/5cdDfBrCKlgf5LQBODWp8FLIs668D+ASA2wA+YNv27sHjAQC/A+A/AfA30DLw3u3khEeBllP1HwD4n9BCWRvG+wLHONZjowNn458BSAL4fwH8+MmOyBEd+bxZlhVFy9GqA/hW27a/cvD430HLUPhey7I+Ztv2u01xHplPT+kc3wt72JFs234TLQP2PrIs6wsHf/6TJzeiR6L37D7CuS45FjoR5NWyrHkA3wlgGS0PRNPfBVAA8AnLspzf7XoC1GkjD+h3Dn4vqtf+umm4Hjz+7wC8hpY39qHHPcbjINu2/61t29dt235amwV/z8Hvn6fhCgC2bVcB/J2Df0/mOi+H5IRHD6Iifwut9ICfMg3Xg897vHeFPjn6IQDfjlbEp3DCY3FEDs/b9wJIAPgtKsuDzyijhRoBwLvuukQnfIpTOMf3wh46JcuynkMrlL4G4F+f8HCORO/lfXR4Ro+NTipt4NsPfn/WVIy2befQCqOH0GLo00z/4cHvt474ehoEtWMYi0vOaezg960Oz/Gxly3LGnhC4zkO6sSj/xlasuE3AEQty/q4ZVk/aVnWD1iWtfDER/iYyLKsC2il7Pwj27b/4qTHc8xEGfsnHZ77CwBFAB+yLKv3yQ3pkagTnz5tczTpaZ8f6b85+P2rpyn30wG9V/bRqb3zSHRSaQPnD34fVvBxHS1k9hyA/++JjOgxkGVZPw4gDCCGVl7gN6O1kQ+9ANuyrBkA34EWIz/tivW0ENHWuQ7Pzau/l9AquHvX0xF59JWD3zEAN9EqpiQ1Lcv6ZbTSfU6NorEsyw/gXwC4i1Zo62mnQ2Wsbds1y7Juo1WAOA/gypMc2FHoiHx6qud4BHra5wfLsoIAPg6gAeBdXzTZJT2V+/go9s7joJMyXmMHvzOHPM/HTxui9eNoFWKR/gTA37Rte+dBbzrwuH4TQC+A//40dVp4yulfoYVC/qhlWb9l23YKEEPo0+p1gycxuC7pKDw6cvD77wH4NwfvWQbwAQC/glY+0w5aCfqnhX4awEsAvtm27dJJD+YJ0GmXsUfh09M+x4fR0z4/APhP0Rr/v7Zte+WkB3NM9LTuY1f2zuOid2ufV1Zwn6pcStu2x2zb9qAVbv4etDypS5ZlvXzYeyzL8qGFCP0VtKrZ/5cnMVaXjkS/hVb161kAly3L+ieWZf0CWkUH34VWhABoJeKfCjoij7JVzQaA/9i27a/btp23bfvP0crfaqBl0Pc8ybF3S5ZlfQAttPXnbdv+wsNe/x6hd7WM7UaWdqB39RwfAz0N8/uBg9+/cqKjOFk6lfv4mM5o13RSxis9jdghz0eN150qsm17y7bt30Mr9SGOe/0k2+jAcP0/AXwfWsnOH3+Ki59OHR3kY/9HaHmYm2h1Hviv0Koy/Wa0KtYBYPtEBvgI9BAeJfL/JyZKadv219DqvhABcOFJjPVRSKULXMO9Irv3Aj0VMvYhfPpUzPEB9FTPz7KsZ9AqTl5Fq23k00pP9T4e1d553HRSxuvVg9+H9YpktdqpbYIOALZt3wFwGcCzlmUN6+cOlOr/DeBjaPXQ/M9t23YLtd5lZNt2zbbtn7dt+0XbtoO2bUdt2/4IWvv6IloNmr9xsqPsng7hUZ7P9CFvo3EbPM6xPSYKoyVnLgAoW5bV5A9anU0A4J8ePPYLJzbKx0+HytgD2TOHVmFop2LEdx09hE+fijl2oKd9fk97oRbpad9HAA+2d46DTsp4ZU+077Qsq20MlmVF0Aqhl3BKimAeQhMHv+VwHoRbfxctxPWfA/jEU354n0b6BFq3pPzOKW4bRTJ5lEWSz5kvPMjPpnO5fLzDeiy0j9YlE51+2LLu3x/8/zSlFLDp+0c6PPdX0erm8rpt2/tPbkiPTCafPo1z1PTUzu/gEpRPoJWC9KsnPJzjpqd2HzvQffbOcdGJFGzZtn3TsqzPogUz/7do3XZD+jRatzf8im3b7/o+jJZlLQFI27a9aTzuRes2rRG0GHPv4PFetJqjfxdah/YHOvXRdOndQZZlRW3bzhqPvYJWRWUeraKmdzU55VG08nxvAfhrlmV92LbtP1Nv+ztohb/+nfl570Y6SHv4rzs9Z1nWz6BVxPUb9im4HtYh/S6AzwD4mGVZv6Qao/cB+B8PXvPLJzW4TtQFn566OTqkp3l+34dWoeu/eooLtUhPzT52cUaPjU7yhi0LwOsAftGyrO9Aq0XENwH4NrTSBX7qBMfmhD6C1q1Yf4FWW6EkWhV434JWAvMmgO9Xr//f0TJcd9FqyvzTlnXfZRSv2bb92vEO+9Hp4Aaqv37wL3uivmpZ1q8f/L1r2/ZpusGoE/2ZZVklAF8HkEOrpcl3oYXofY9t26ch1OOIR23brliW9TcAfBbAH1uW9Xto3V39ClpIwQ7uFVq49ITIyXmzbTtrWdb3o6U4X7Ms67cApNDK4T5/8PhvP6mxH5Gc8umpm+N7YA+PSpQfp+VGrTZ6D++jU3vn2OjEjNcD9PX9aCFXH0HLINgA8IsAPs22RKeA/g1aB/CvAHgBrXYXBbQM8H8B4BeNubBn6DBa7XsOo9ce+0gfP72I1vWomuZxrwfqHZyu6zc70e+ilZf8cbRyPNfR6kf4s7ZtL5/guJyQUx6Fbdv//uB8/l20HMoBAFsHn/P3bdtefXLDd+mAHJ0327b/pdW6dvqn0LrKuA+t6yx/FK09f7cVh3bDp6dtjk/7Hj6UDi4L+Wac7kKt9+o+Oj6jx0WeZvO0rJlLLrnkkksuueSSS+91erf2eXXJJZdccskll1xyyaX7yDVeXXLJJZdccskll1w6NeQary655JJLLrnkkksunRpyjVeXXHLJJZdccskll04NucarSy655JJLLrnkkkunhlzj1SWXXHLJJZdccsmlU0Ou8eqSSy655JJLLrnk0qkh13h1ySWXXHLJJZdccunUkGu8uuSSSy655JJLLrl0aujI18NalnXqr+Kybdtz2HNP+/yAp3+OT8P8gKd/ji6fPt3zA57+OT4N8wOe/jm6fPr0zs9FXl1yySWXXHLJJZdcOjV0ZOSV9BM/8RPw+Xzwer3y02w2Ua/X5afRaAAAPB4PPB4Pms17xj8f83g8bY+ZzwNAo9GAx+OB1+uVx/hZfr8ffn9r+LVaDbVaTV6vX9toNPCZz3zmyPN7++23UavV0Gw228bN8XBufN6cn9/vx/DwMF599VV8+MMfxtLSEgCgUqkgEAigv78fPT09AIBqtYpqtSrvbzabqNVqqFQqKBaLKBQKqFarAIBAIIC+vj4EAgH4/X5ZF7/fj5/+6Z8+8vwAYHd3F5VKBT6fD5FIBOFwGIFAoG0fODePxwOfz9e2l7VaDX6/HyMjI5ienkYsFkOlUkG5XJa58LMHBgbQ09ODfD6PVCqFdDoNr9eLcDiMnp4eNBoN+Hw+xONxjI2NIRqNolAo4Nq1a/jKV76Ct99+Gzs7O5ibmzvy/D72sY8BAOr1Ovb391EqlVAoFFAqlVAul7G/v49yuYxyuYxSqYT9/f22fajVaqjX6+jv78fU1BQmJibQ39+PRqOBQqGATCaDQqEAr9eLvr4+hEIh1Go1rK6u4vr160in04jFYhgbG0MkEkGz2UQ2m8XOzg5yuRyazSbC4TCGhoYQi8XQbDZRKBSEn49Cb731Fnp6euDz+VAoFLC1H7UNrwAAIABJREFUtYWtrS0UCgV4PB709vYiEAjA5/MhEAjI//39/RgcHMTc3Byee+45vPjii1hYWMDw8DD8fj8ajQaq1SrK5TKy2SwKhYKsD/fV5/MJj1arVQQCAYRCIfT09KBaraJUKqFWq8Hn8wmvl8tl/MEf/MGR5wcAn/nMZ+D1ehEIBNr4s9FotPEngPvOK/9vNBoik5rNJsrlMtbW1nD37l1UKhWMjIxgcnISsVgMPT098Hq98n79OfoHwH3fTdn36U9/+sjz+77v+762M8fPpRzr6+uD1+tFKpXCnTt3sLe3h/7+foyOjiIej6Onpwe1Wg3ValXmR/lRqVRQr9fh8/mER7mGvb298Hg82NjYwO3bt1Gv1zE1NYXR0VE0m03k83mUy2XUajUEAgH09PSgXq8jnU7jq1/9qqM9/PSnPy0yxO/3w+fzte2L3kfKNFO/cF30nuq91jJZr6OpZ8w95Bi07vB6vfjUpz515Pl9/OMfv+/7TV6k/vJ6vTJnv9+PQCCAarWK5eVlvPbaa3jttdeQTCZx9uxZOZfT09MYGxtDOBy+bw6atzkG/Z2alz0eD2q1msjhL33pS0ee4y//8i8f+bUmcRydxvggIs84fR/pk5/8pKPXf+hDH0I+n0ehUECj0YDf70coFEI8Hkc4HEY2m8Xq6irK5TKGh4cxPT2N4eFhBINBka2NRgPJZBLXr1/HlStXkMlkMDMzg1deeQUTExMolUrI5/Po7e0VfZLNZpFMJlEsFtHT04OhoSHE43GEQiHhG7/fj56eHpHn5Osf/dEfPfL8fuZnfkbsGtoNfr9f7Df+kD/5Wr/fj2aziVQqhevXr+Ott97CzZs3USqV0N/fj1gsht7eXvlMyvtisYi9vT3s7e3B4/Fgenoazz//PBYXF2XdKNuuX7+Ot99+G++88w6Wl5eRzWbR19eH97///Q+ck2PjVQsWLVC0UNfPA/eMSBIPXaVSQbVaFeGhF5VGGhdYH0QtJPRvc1zdMD03Tb9XC0zz+03jlYY051Wv14VBtNA1la4WsjS6yuWyGAe9vb3o6elBb2+vMDDn7JS+8zu/U5hUz5F7p8fKx4DW3us5hsNhhEIhYWKgZZCn02mk02k0m02EQiEEg0H4fD5R8MA9R4CP5fN57O3tiRFMo8lUVEehpaUlNJtNVKtVMV739/dRKBSQzWaRzWaRyWSwt7fX5vhQkdVqNTFMeTCpJHw+H3p7e9v2uFwuI5/PizFQLBbRbDYRj8dFWIRCIYyPjyMej4thQKIRwrU5Cnm9XnGEaOQEg0GUSiU5RxR8NGD6+voQi8WQSCQwOTmJRCKBYDCIvr4+BINBEVTVahVerxeVSgW5XA7pdBqlUkmEEz+zv79fxkIeofFbLBbbDIJu+NT83E68aZ4jzbN8jjxWq9VEgWSzWVQqFYTDYZRKJfT19QGArBvQbgBpedDJKOLjTuen32/KUf5PXgyHw+LAHvW7DluXZrOJnp4eRKNR1Ot1BAKBtrXlb234Oz2HwD0AgnPSPzRk+ZyeN8kEQDrJ4E7j0rJZf7b+DvKTlqdO6bOf/WybgWV+F/+mUQ60eKy3txe9vb2o1+vY2NjA6uoq9vf3xSGtVqtIpVKoVCrY2NiA1+sVGaENVm3I6nGYZ45zptN5XGSCTKbxSb1OHjZ5rNFooFKpiAH1oM9+nNRoNLC7u4tMJoNAIIBYLCbgy9DQEIrFIu7evYvl5WWMjY2ht7cX09PTGB0dbeMzr9eLTCaDnZ0deDweObNerxfVahWVSkVAinq9Lo8Vi0VUKhWEQiHU6/U2G0YbmN3YNADuO3eU4QDu+2zzTJmAIsdNO4V6sa+vT4xXbXjzf76fc6JNkEqlcPv2bVy9ehVra2uo1+vo7e196JwcG68cTCfji6gMn6fHRUNJG637+/soFovI5/MoFouo1+uiHGkQ9ff3i4WuF1AzPcegx9Rp0Z1Sp4NiClFSJ+OTylK/XgucBxmvpsIhs5HhNBrRzfxmZmY6IkgkbVSSyGwej0eeo3fa19cnzzWbTezv7yOdTqNcLiMWiyEYDAoaZBohjUYDtVoNhUIBAJDL5VCtVlEoFNpQfKfEdfL7/ejr60OtVhN0kM9xj4iA03ClYu/v70coFILH40G5XBYkiwhjvV5HuVxGKpXC9vY2bt68iWQyKQZlIBBoM0r5mY1GQxwTouvFYhFDQ0NHnt93f/d3Y2hoCIFAQAx+rmelUmkzyoHWuQ0GgxgYGMDAwACi0ShCoRAGBwcRCATkc8lvfX19iEQiSKfTKBaLSKfT6OvrQzQaRbPZFOO0t7dXPs/r9SKfzwvyqh2QUCjU1R5qVFOTiawd5hjSmKYDk8vlUCqV5PNqtZrIIhpxlGM0ZLUsM79bn1GnBjrnZyol7TASBYrFYsJToVDovrHxtaah1MmI4dwDgQAGBwdRr9cFXe3kLPKxbh0QPUbTIebnm6SdE/4c5tyZ8ssEF/iaTo4On9Oy2Qn94R/+Ydt7OwE3ek8YQQuFQujt7UWz2YrKrKysIJ/PixNZKBRw584dOT80GAhq0MAzZTINn057pdfggx/8oKN5HpW0U6CJskP/+P1+mRMjBeVyGZlMRvTHk6J8Po/NzU1ks1kkEgkBjOjY9/T0oFKpIJVKwePxCNBCI7taraKnpwfBYBCTk5NoNptIp9Ni/FLGUp4x0tfT04NwOCw8pOUZdQwAiZYAuA94OippwMu0b0w5ZDpflHGMxBDg4efRIaMTTD1JY5YgpDkenodmsxXxITKtddJh5Nh4PcyoM3/0glBB8OCRWYmKUfFSmOvQEQ0GLhyVi4n8mmMyx3tU6mRMAu0brpms03ccZkSb6KtpAOvvIjM0Gg1hAj1v/blOiSGjnp4exGIxDAwMoL+/H36/v82AI1FR0tMiMsfXE+1rNpsolUpIpVLIZDIol8vY2tqS9+zv7wvDkpk1ekkeoAHG1x6FkTWlUqk2Q5UHygzbHebJN5tNMd4GBwfh9/uRTqeRy+XkABI9rdVqyGaz2NjYwM7ODur1OsLhsKCSuVwO+XwejUZDBGIkEhEjNpfLoVAoIJVKOTJeP/rRj4qXns/nsb+/L+dGo8I0YAOBAMLhMCKRCILBYBuayH0jqs891yExonTxeBwAsLe3h0KhgFqthmg0Kq+rVqviMPj9fknZMFGUo5CJKnEPTTkDtBtAnD8VIh0kIuT7+/siR7h+3HOG5zhn8irHow1EkmlEHpVMg1h/lv6/p6cHAwMDqNVqgmZoxcE9A9AGHlCOmYqD6xoIBCStRT/HVA3KXY7zKGiISeZ3m2i83mNt6JkOfKc10vx7FDlogh90pHVY20n0AwBu3LghfEZd9SDjkcpaO/y1Wk2cqmaziZ2dHUnJyeVybbKGslSfJ71eDyOv14uenp7HbrxqYIfrGo1GMTAwgEQigZGREcTjcQwODmJwcBDRaFTSj+jIU0fs7e1he3sbGxsbkmqWzWbvc/AeJwJL5zafz0vqDeV2Pp9HpVLBzMyMoMZ9fX0i9zWiSp0dDofR29sr6XEAxKCjPPH5fAgGg8KLOmrGtTFBCG2DOKFOjpuJtGpUVMsXvc7BYFBSKTRIQ77y+/2CnFI/VavVNsNZg1fBYBBjY2OYm5vD8vIyMpkMfD7fkXShY+P1QUarKYjIBAzVFYtF7O/vixBmXmQ0Gr0Pzmb+HUOwFOJUqNoTMb1oc2xO6DCBqBf/YYJCC31+JoVNpVIR5dDpM7ThynHQ6KEi0IqpG/q1X/s11Ot1RCIRnDlzBouLixgbGxOElGPlHBhapjCtVCqCkNNA5FhqtRqKxaIohHQ6LUYrUSRtkGoEXa+XdmKc5IICLcOSCIZ2dmi8AmhbSxpquVwOxWJRUNpYLIahoSE0Gg1sbm5ia2sL1WpVPo8Hl3NhekBfXx/q9bp8HhHI/f19+Hw+JBIJnDlzBkNDQ2LgOVWaIyMjYvyWy2VZZzM/ioh9KBRCJBIRhI2ev7l3OjUkk8lge3sbxWJR0iWodMmXVNREYhmO5/cxjJZKpRzNj2MAOoex+Dj5iq+p1+soFovIZDKC4pPIv9lsFvv7+xIFKhQKkt5CXqfwpbwx0U0KeW24OjVezRB9J5lFg4d7eZjc0QYTZYh+nPuq5RuAtrNF1M6M7vB93SKvGkHnd+s58jnTUDW/00Rw9Xw6rYe5lvz8Tvqim7kBQCQSEUOTTr+eA8+XjjoSYdTfSZ1YqVSwtbUle06DlSifXkeSE0OGUZ/jJK/Xi9HRUSwtLWFpaQnnz5/HxMQEBgcHJZql6z50jQnPbyqVwsrKCm7cuIHLly/j2rVr2NjY6DoS9zDyeDyIRCLY2dnBjRs3cP36dSQSCaytrWF8fBzj4+NYWFjAhQsXUKlUAEBsGqY/cu6UCzTmstmsADXkCTr7nVILqZOIzAPtaGs3et88ByYAZ54JHTHRqR+M1ng8HgEo9Pj068LhsBjfBBG0PKD+iUajmJiYwOTkJDY2NlAoFI43bYCT1J4ylaIOw5bLZRSLRdlkKj3C8VQUOhGZB50Kn4pWh+NZTKCRBtNDN/8+CmmPVgs6Mp3+zE4KVZMOD+dyOQAtw0rngZpExqWRwDXvlDLQred5+/Zt+btaraKvrw+NRgN9fX1yELWgDwaDCIfDgrTS+OY49A8Np3A43KZstAdJA0uvL/e2k3PgVGCRp8hX5C2NAvn9fkQiEUGfstmsIMY8PP39/ejt7UU6ncb6+jreeecdQRqHh4dFEPMnFouJgVoqleR7gsEgGo1WsVc+nweAtkI5LQSOShphLZVK2NvbE3SCYUkW6RC5Z9h8Z2cH2WxWigsTiYQUaTE6srm5iatXr0ouXl9fHwYHBzEyMoKxsTFBUbxeL8rlMlZXV7G3t4dSqSQCbnBwELFYDP39/V0JXJO/TScZuOdMMvWCa1wsFpHL5cRYzefz4kxoJIsCNBgMIhKJIBKJIBaL3Td+XQBn5pzraIgT0iikiX4y0sH/NfJChaINX70eJG3wcr76+0y0k48flhrWSV49jMwIGT9Hyxc9R9NA1UatKRc6/d1JJnZCnTrJ7m7Q83PnzkkxqC6cM1PdOJdOxcB67JxrMBgUvtPgB/eSIdb9/X1ZZ73mmi+5dhzfcRiA5JuBgQHMzs7iwoULuHjxIhYXF3HmzBkkEgmJ0JAnOzluXq9Xonnb29tYXl7G3NwcZmZmcPny/0/bmTa3eSZX+wDcF5BYiIUEF5CUKFsk5WU8rplJJXkr/yN/M5+TqklmJpOM7chjWaJEguCGnSBIguKK9wNzNRuPIZuAJneVS7IkAs9zL32fPn26+wcVCgXVarUOp/RvMfx8+/NSr9d1eXmpdrttNg/bQnKsB24eAI6OjioUCtnPE7EEKHPvQgahjQX3gAP4bM/s90vKsVY4qv4/zn/QKfeRLyRlsMhESqWHRGf2JHd6N7IPO+rlo0hkJP3fyAYAHcHBQ8JkADqRBwA2x8bGjJ0KXgh+otFhjY2NGShmctD8eJbJZ+H3C+r4bm9wvBaFA+rDz90Gz3txcWHMWLPZNM/6/fv3luzkM5ylTm/di527bdh+mdff/va3qlQqGhoa0urqqhYXFzU1NdWhrWKu2XhkqqfTaQs9M+8eUAdDgXd3d7ZBz8/PTZzOZ/pkvaDmrN91RB/oL0EuAP9eSAOQTXgmFtD3/v17HR4e6vXr13r16pVGRka0srJibCaJdIBFSbZHSbIZGhrS+fm5BgYGdHp6ar9Wq1WNjIxYyL+Xwfx7B2lwcNCSMbwRGB4eVrvdtkSCfD6ver2usbExra6uGogvl8sqlUqqVCp6+fKlfv/736tQKBgAHxwcVCKR0GeffaavvvpKT58+1dTUlFqtlo6OjrS7u6urqyvFYjH77nD4PrGMbOlehvfQgywBg3VttVqqVCqq1Wo6OzszBqdUKundu3fK5/NWZcPrA/ke1jAWiymZTGp2dlbz8/PKZrOamZkxKYjX4Ev9R3ikTh25B2p++GeFseHC4DL0F44/i9hEzqFnPvyfYXNwkruBGw+gen3Hbs6+//8Pzd+HQGc3G/FLdt//3M+x172Ozz//3BwiNP3ST5MNvbMRvNCZW/58eHjYIpJEGL2TT6Sl0WhYJM8DQj+f3tliz3zM/fihEQqFlE6n9eLFC/3ud7/T559/rtnZWVt/suk9KAk6XP6Zx8fHrVpLNpvV+vq6vvvuO/3hD3/QN998Y+H6v9Ug+TWRSGhiYsKkXZeXl2o2mzo+Ptbu7q5JO9rttuXmwLB2iyZgn33kjbuHnxsZGbG15t+Hw2EjjPxZ7aZJfcwI7otgdNM7mX49vJPO731Fk+DZ9gQjml1fKYl/yx3LPbi7u6vDw0OruvN/Al79A/ArgAeWFR0rLJ5PdIERg8UD2PrQsdebkTBDyIXPDdLRH/Ka+zmo3nhjbLw2Ksh+dgtPAdgoHwXTCmADZMBWBtniDzFxfwvD88///M+q1Wpqt9uKxWKKRCKmuzo5ObEDFAqFFI1GFYvFFI1GNTMzo5mZGU1NTf0EtAafD3bg9PRUNzc3Fn5lTi4uLjrYSW9kOUBjY2OWINTLoPKBD39w8WIsfBkg9Dq+hAkecaPRUKlU0uHhoSqVigEzDyLwSIeHh+2dPNPCegIS2V9oqW5vb3tOaGLOYHwxppw/DDsg++LiQoVCwUousacxqre3tzo/P1etVtP+/r729/eNoQ2FQhb2393dtazcZrOpJ0+emAd9cXGhq6srm0Mc18cK8IPDZ8MGWQ3pIamBcjOVSkWNRkO1Wk31el21Wk3lclk7Ozva2dlRtVrtCswAekQYpqamlE6ndXx8rHa7bfbKM67s/yC71svAIfDRJn85eQeQP8NhZ88FJT5easP8sb88QwSxgFSEy9QDJf+9/YabPav8IYAKeA6CU/7cExs+2z7IngYZZUY35qdblO5Dz/hz4ze/+Y3No2eJPzSPQZaVe4y7kzJlnO2BgYEOYAwQmJqaUiaTscgR/zZ4D3pw4r/39evXPb3nz42xsTEtLCzoiy++0O9+9zv97ne/0/Lysm5ublQoFFQsFiVJ6XRac3Nzmp6etjvdzxXDgypKR1HKLR6PKxKJ6L/+67+0u7vbUZ7xYwZ6foBrIpFQKBTSwcGBdnZ2LLn27OxMo6OjmpiYsGeDsfXzfHt7a3r/09PTDgf14uLC2GO0owBV7wB5m+Cd236cZX+38ll+BPdN0NHDQYJJRjrBz4Jt+BzsD/KQqakp+z2fx9nm38F+h8Ph/xvZgH8h6aGsE8waITlvQJg4LprT01PzIP3PSTKRczQaNe8TlglPhUuRMAgTyST6Sf3YEEkwJBg0REHgxp8j/r6+vlYsFjMB9+3trekCvfzBX4DdgHg3Born6HX8/d//vYEmgF2j0VCxWDRAdXNzo+npaS0sLGhxcdHquQFEus2JvyRgLAuFgsLhsJaXlzU7O6vb21ur/0ZFAbSGhCEAYmRCR6NRlcvlR78flzoXvA+BwMj68J1P5OGyIWMezaYkS3gCrJ2dnZmWiQMLAwKwBfzxHxIBnLOgxvmxA6PG3GMYCE/hNAI6jo6O9ObNG1UqFU1MTCiVSlklCAA3Tuft7a3i8bh+/etfG1t+dnamWq2m4+NjVSoV/eUvf7EqBEtLSxoYGFAqldLt7a2F3KPRaF9VBhj+7HnGirmkokGpVLJM4fPzc+3t7enly5fa3t622o0kX3Qb2AkP4qljuLCwYHOJ7InhHfl+LlAqNPB+/vmwI5TKg2FDd8we9uwxz+ITR2B7fEImpAL2E+COIxeMnOC0N5vNnt/Rz0s3Z5f/9wDWg5mgnfHJiMHP9gyj/z5/EQdDpR87vvjii45n9evpiZVuIE26t5OUo6vVatre3rZ60GR1NxoNnZycqN1uKxqNKp1OWxJUKpXS3NycRQd8DoJ/3+A99jHgNeiszc/P6x//8R/1D//wD9rY2NDi4qJGRkZUqVRUKpW0u7tr8zE5OdlRV9yvQ/CZ/d+NjIwol8tpYmJCU1NTmpyc1O9//3vt7OxYpZqPGZz1UChkZwH5GDZ/cXFR8/Pzdpd7aVYwAZhzSETHJ6xfXFwY7kGCRs1zSBuSaj1GCDprvQzmm3Xwoxu7GrRHPjITTBzHofRlGX2lgdvbW7v3fEQCBhrHhzq3zWZTMzMzv/hOfSVseWNAeBwAikHkRb1nSRgdho/QB6F1GEq8IPR4MzMzHfozNBc+ASwcDpuUIGi0ehk/Z9Q+FHbyoJJfKflxfn5ubOXY2JgxJSS4BLUswWfp9h0fOxYXF+3ywxGYnJzU5eWlDg8PJUnxeFwLCwsGOsmKDFYj4EAE90S5XNYPP/ygV69e2WEkDOT1WIAKLmIcFFgggGgv4JUoAMaQ0Iv3OmFE+fdnZ2fGNNLAAKb/+PhYkUhEuVzONFH1et2kAYBVn8HOO/jEQhLvPFBnvw0ODqparT76Hb2Tw3cMDg5actTd3Z0SiYQuLy+tPuHJyYk1T4jFYjbHZPMWCgUL3SARkWQJUCcnJ6pWq9YM4a9//avV511dXbXi2mNjY5qentbU1JSVKes32Sd4BjxjdX5+bhckkoFyuawff/xR33//vfb29jo+D5vEZ0kPbKY37Mg9kDqQcEoWrT/r7Nd+dK+RSOQn7xZkcr2MR9JPKiCwl3HATk9PdXd3X7UDHfDAwIBlePuIlpccBC9gqfMC63bpPWZ0A3bd3tWDFR8tAWjDYJHcGLzIOX+Ae59Myed54uFvBV5JNsYJ9fkfQQbYz4cH4aFQyKI8yG+wBTc3Nzo+PjYHOhaLGZCdnJy08nfJZNLkXKxxt/vEg4d+B+8wNDSkTCajr776Sv/0T/+k3/zmN0okEgqHwzo/P1e1WlWlUlGlUjEt/szMjKLRqKanp3/yjMHnZZ8QRRoZGdHi4qJJDtvte5ni27dvfyL363Xc3d0pEonYXXF6eqp6va7r62tjfBcWFjQ3N2dOJ7XD0fp7QgiihNyeaDRqrCWRIrT4yIFwJLk3fGItewqs0OsISgHYp/7/gxKf4Nn0DCl3nXf6PZuKhpc1kjqT87AtIyMjymazmpiYUDKZ1MLCghEsv+Rg9QVePQXuy11hVPwLcCgbjYYqlYqOjo50dHSkYrGoarVqdSTRT3C5kzSRyWSUzWZt45C1iLH1YSSfQc34WwE+/1lBEBv07Dlw5+fnpv8lI5XLcmJiwt7558TY3hsNshH9hkt8eEN68MpgZ+LxuLLZrJaXlxWNRg2QBZ+J3/M8MCcAoTdv3mh7e1uTk5NKpVJKJpOan5+3cOnIyIjq9brOz8/VarUMDCAV+VCI45cGgJx5xTCcnZ1ZFjqMLzVbLy8vValUTNcUCoXMAeGimJycNL3ZycmJsQAYPTRShP1isZjS6bRVcUD/4ysg+LJhvYBX5hsNJqzg+/fvVa1WFQ7fVz44OTnRN998o3q9ruXlZT19+lSRSMSADSBwb29PP/zwgw4PDzU2NqbZ2VlJMkcRhmF6elozMzM6OjrSwcGBXr9+rZOTE11eXupXv/qVUqmUMRPesfEho8eO4D7H4KKrr1arKpfLqtfrOj4+Vj6f1w8//KCtrS0dHx93fFbw0g6GKRkjIyPKZDJ6/vy5zRVdd7i0sDWhUMgcLg8oHzs82x4880HGOail9GcQUoC5oGat15zVajWr8ZtIJMzO+u8MJqQGf/0Y0OOZxyB47WbXAK44ToAgwLhn7nyOAB3kpqenjRkL1qH+EBPaz12BfejG/DJ8yJf/Li4uDMSUy2Xt7u5qZ2dH+XxelUrFyst5cMDPNRoNS9Ck4cbIyIglAwOagtpsn8jV7xryPtI9kP7Vr36lf/zHf9TGxoaSyaQGBwcN1EFQwdjXajUdHByYhC4SiXRlo/13MLd+7ySTSf3qV79Sq9VSrVaz/fExUVZyBrgnarWaTk9PNTExoWw2a8QLkp3379+rUql0SKwoswWhMDU1pWQyqUwmY84FZe+Qf5D8dXZ2psHBQU1OTlo3Tu8QeUlMP+vXzZGSOqU5QfsYjASRQBaJRDoc5IGBAcMyrJOX0uC4+GiPB82jo6Nmk5LJpHWv/JuDV08V+/aaPqTnSxRR2Defz5v2bH9/X6VS6WfDUKHQfYg1Ho8rlUppaWlJy8vLWltbUy6XUzqdtjA2EwLIYYH7OajBw+SZ5uDiBsGrZwA8SPFZixxaCo17IbZnX3+Oaf1YFpaMdwahqVarZazT8vKy5ubm7KByKIOJIV7Txrs2Gg3t7u5qb29PJycnur6+1vb2tqLRqBVxxoANDg6aRvHi4kLj4+M2F4C7Xj1NDgeXICwO2avNZtPYYA4asoFaraa9vT0DJXjO3htvNBq6u7tTNBpVJpMxXSmie+r1xeNxCzMRimYO8VTRAve6nt7osIaSbP0qlYq+/fZb7e/v6+joyNiO8fFx695Dp7HDw0O9e/dOb968UaPRUCQSsWxmytt44wUoCIVCevfund6+fatwOGxgHQbWgyEPlHodHux4gF4qlVStVlWtVrW3t6c3b97o9evXHSy9P08ATgAoz4fsg+jA2tqa1tbWNDs7awZakmmlOa++5F+QtXzMCFZu8b/vxoD66AEa9VqtZgXduUhYGz6L57u9vW/xSq4Bl6m3WTyTl2n4Neh1fGhOguwnvyfTHO024IzkJMKSwTPDZUtCzfX1tSKRiL0D5c6CzHbw+3sdMN1SZ6k/D6pxdphT1g579O7dO21vb+vg4KCj+L1fOyQdPiueyCbSJM4ljonXaXvw2g9z59cNQLm8vKy/+7u/029+8xtls1lbP6qaNBoNc/xCoZDOz891dHRkNsSvY9CJ6OZAAYiGh4eVTqf1+eefq1wuq9Fo6L//+79/4rD2MgBkVGM5PT3V6OiodSOMx+MKhUI6PT3V7u6uDg4OtLu7q3w+r4ODg45EUUg45Flzc3NaXFxUNpu1BFDTarbAAAAgAElEQVTaUSOh444l6RZQ5yt/eGlQr7imGwHk90PQ0eE7fATB5y35z/ASNs6C/zOPFYLEIv8NDg5a8wrpcRWGegavPCxeMcXleWFekM1aqVRsobe3ty0kQumoDw28zFqtZsbs5OTEjNrNzY3m5uasJFMQ1ftwUb+jm/A/eKgY3kDAUCF5oKCxF65nMhljo/wl2C1xITgvnkHoZzQaDUkyfebx8bH29/dVq9U0OTmpRCJhSU9s4uD3YZSZI9ag2WzaetfrdbtIDg8PDez5pghUOSBE32q1OpJS+vEy2+22rb9PJqzVaioUCgbKpHs24PLy0kDd1dWVisWizs/PjekfGxsz/S4JbTwXIDgcDltSG+9DgpZ3pDyDwH4Jer29vqvvIBWNRrWwsKC9vT3927/9m8rlspaXl7W4uKjh4WEdHR1ZmJnOPt9//712dnbUbDYNGLH3AKy0T5VkrHIulzPHBOYWlmJyctKkKZL6Yl67vSsABfaJUOubN2+0s7PTYVdIkuPZYfO8VpTPHRoa0tzcnDY3N/X8+XOlUinTnfl1grGG0fcAvR9Hudvv/Z/5i90/PxUe9vf3dXFxYVpIdMaebeTih6GiZBhgB0BEsgQ2iLPd7fz3846e9WTPexvL2sJ6wRyHw2ElEgllMpmOouicI+wQERT06B7oE2LvVi0nCKR7Gd0Y/CAQI7wqPcgFYA3z+bxevXqlg4MDi16GQiF7bwAvrPLMzIzm5+eVy+WUzWbNTiOT8kCh27t1Y4Z7edd2+16GRXTixYsXWlpaMnkQGnsvL+J5rq+vdXx8bDpS8hq6Adhu88v7MTfpdFpff/21yuWyAX9JPUdAJCmRSKjZbBqDOjg4qGw2a5V4wCOFQkHffPONvv32W+3s7KhcLnd0EvSODFrzWCym2dlZLS8va319Xc+fP9fCwoJ1J2y329bUhzbcvqZ28Mx8DKbx8/ghqUAQe3hyir0M7uNuRfbpbRY2ljPn5VX+Gbo5k4+xpT2vMiHkoBYreBGzgQ8ODlQsFi3jDmDkAQv/cXBhD7y2YnBw0JKA/MTPzs7+pOC9B5EfM36ONfC/x8Cz6SYmJhSNRq2rSDgcVqPR0M7Ojm1uND++7IT007qIvJf/9WMHLe5gYw4PD01Uv7CwoEQioaGhoY6uTYxurDRrgWe9s7Ojo6MjK/lBssfh4aH29vYUj8c7QtFUOzg+PjZ5BT2hg+GLx4z37993aKK4MLyTBVDe3983YT4tAt+/f99Ra/fs7EylUkmlUkmSDCBQPaFYLJq0ALaWLG6YCDxRX2vTa4T6Mbi8B0lJZIF6Lejd3Z0ymYxSqZTpdyVZMghOFZo6AGe9Xrc5wPjgUOCkRqNRLS0t6fr62gBkIpHQ3NyclVQjvNsP28MlFWTlkOM0m01jr7a3t805jMfj5jwS7mMPknSGI0yNxXQ6rfX1dX399dd68uRJh/PEOaHtcblctu50nG9fRaKX9ZM+zPp5cOZr+p6fn6vRaKharVq0Yn5+XouLi5YM48sGAoYozYdUh/n0tgb9XRA49zuCERt/cfHuyF7QT8MkE9GAgeLOQabmK3n4qiG8L4Cds+/PWzemu593ZZ/4EWRN+T13JczkwcGBDg4OdHFxoUgkokwmY6x5q9UyWQB7lBqqz58/1+rqqmZmZsyh4myfn5+blpr7iGcIgoXHjuDcRCIRPX/+XF9++aVy/5tExfxic5EMUPNTetA8VioVc5xI7PERvG7fz/t4omp8fFxra2v64osv9PLlSxUKBWN6ex1glsvLS0scmp+ft2Yw1WrVgOsf//hHvXz5UpVKpeP9ug3yBIrFotlZ9m42m7UujpAQYCLODYla/oz242j5e9qfQY81wE/850EoQJW7pVarWV6Ir9+PHURO2m63LWGN9ui+c2OQrOvlvu8LvDIZ3f4cz4j6XfV63Vgo+qmjHePiLBaLpvMJhUJWqiaTyVhZDV8zlZpreOCALV6cSe83USRInwf/joX3mbgYRbzKRCKhRCKh0dFRHR8f6/DwUPl8XuFwWNPT01pcXLTWjHhtXJQ+dPexXla3UavV7PdXV1emJaOWJa1NAdRssG5zxKEIhUI6OTkxaQhaMP8ex8fHevfunTGvhO0pas++ubi46AB0vRoj9KiAO8qPjIyMKJ1OW7IfDtP5+bkODg5UKpXUaDQ6svHL5bLK5bKOj481Pj6uaDSq+fl5TU9P6/3796YzJDQ5ODhommzOgi8JQxgTBsnrw3sZfBb6Mi6G3d1d/elPf9LW1pZSqZTpxXlPGg5wWQTrPnrWjfJYhDrj8XhH/VzpHiiurKzo6upKe3t7+stf/qJcLqfFxUVzQGFdeh04ADjElF/jfVutlg4PD7W/v696vW7ZzLlcTpubm1pdXVUqlbJwf6PR0P7+vkWBjo6OJN2zLhsbG/rqq6+0ublpURG/787Pz3V4eGh6/Xa7rUwmYzV/fdvHxw7PVPCfj2Twb/gVxhUd4dDQkHK5nGWeA0wBMb68EmXAJiYmNDc3Z7pw1hZHFXYkWAGlXxBLK16fpcz+8azuxcWFqtWqjo+PTSMHwCERcW9vT4VCQdVq1RIrR0ZGLDnQ211yCm5vby2aw/ns1mq7X4LgQ0QDw9twWNSzszMVCgW9evVKR0dHmp6etqQgalSfn5+rUChob29PjUZDo6OjymazWltbs4x+nGQqFSB3SqfTVgHE1wrv9z4Jgu9YLKb19XVtbGyY3WYOLi8vdXJyouPjYwuje5Y8FLpP0j06OrL6zzgo3tn6ENPvIwJE7hYWFvTkyRO9efNG+Xy+o4zTY0e5XNbh4aFarZamp6c1OztrOKXVaimfz+v3v/+9/vjHP+rt27eGa35uzqROPOTr3sNKLi8vW4MUHBbuLEkmLfRSkn7IAF/u0wNYv2+RgsKqck5wcmnW8/btWx0eHlo1pVAoZOXDaIZTq9VUrVaNiFpaWrLunDwL0QTv7Pm5+6XRl+YVetyDOP93rVbL2A08JJIF0um0AQjCJjs7Ozo8PLTe8dFo1BKGUqmUBgYGLBxdKpUsq3Z/f98uDVqWeW+in6LaPsTzSwdIeqh/xoEaHR1VKpXSwsKCdePY2dnR1taWMTYY6UQiYRuES8Qzx37Ou4W6+r1QKI0E8KEsC6WTMDbBA+LBKL96JrNUKpl2i7Cq36iXl5fa29tTJBJRPB63xB6ynwnx+i5t/TgfhHVZS9+imPklxIgOcG9vT2dnZ1YcOxqN2jvVajUNDw9rdnZWc3Nzmp2d1cTEhJrNpmlpG41GBysQi8Wsg0q73TZGlufxiYasZy+Df+8zUu/u7lQoFPSHP/xB5XJZn3/+udbX1zU2Nmbl2WBSb27u278SXmWQuEBEoFgsdtSwTCQSpgG+vr7W8PCwVQPZ2tpSPp/Xjz/+qI2NDcXjcdtP/ZxF1gpAhSwFfXKr1bLwJHrtdDqtZ8+eaXNz06olUIUEIBsOhy07OBQKaW1tTV9//bVevHhh7FeQEaC0TaFQ0OvXr3V9fa2lpSUL/fke5r2uIcNfJMFwL89Afd1wOKxMJmO2lOSRYrGow8NDKx0GEKRW5srKipaWliwCFiwT58veeNDVr63xWci8s39vWBps+uXlpUlxBgcHrXvc1taWXr58qa2tLZMVXF1d2fzTGW11dVWbm5taXFw0u4qj4/MQYF89A9wPY+ffJXgv8H78HWsIANjd3ZUkA6VUgMCZpwh+qVTS6Oionj17pk8//VTZbFZTU1N2Tulgubu7a+XisKfMY7fn7XfQ+jWXy1n9YB9hK5fLJvfz3wlAub29NeKKKhjegQ86A0GW3IMw6d75XFtb0+vXr1WpVPoCrySPDw7eN2LBGYQhf/nypf70pz/pu+++M2mSZ4u7saJ+P/iKS5QFxanMZrO2Xtglkph9/V7f+bJX8OptWfAM+ujO+/fvjUTEBhBd3N7e1uvXr7W1taXDw0NLTCapG9bYR/4uLi4sqtlsNq1CFM+STCYtAvuhNf/Q6KvaAAYuOBGh0EPJD0IGLNDExISmp6ctrBUOh608wu3traampmxRx8fHlUgklEwmFYvFzIOEvaEYPOyuB0Ie7HD59TKCCTC8V9CQ+3dmXqT70ilLS0umA9rd3dXLly/17t07Cw8hp0in00qlUrZpAVuwsMEQ2996AAaur6/NuSDc3s1oBAfPRgJCvV7X6empGd92u23JYZSUub6+tizxZDKpeDxuoT5YFBwPmJV+Quq++DrPd3h42KEtOjs7U71eV71e183NjRKJhBYWFjQ+Pm7h4ZubG6vTSzSAd5mcnFQ2m9XAwICOjo6MgeV5kRbAylLz1BsKGL5ewR17A0aLz2g2m6pWqzo/PzenwNcoHRgYsEzZfD5vUoixsTE7f95YSrIqCDhYZBWz/oR3+QyiDIuLi7YPuMh6GcFLDAaAcnv+v7u7O01PT2t5eVmrq6uamJgwg1utVq2OIyxdOp025mZzc1OfffaZ5ubmrOsLFwXAi0oVaPjfv3+voaEhLS4uWmH5XmvaBkEc78nvWQf2b6VSMclPIpFQOp1WKBTSq1ev9Ic//EE//PCDgVscKsBrNBq1/uxffvmlvvzyS9Pd+eQ1nBJfUiwYtuxlePmC/zzsGw404V4SJInM7e7u6scffzQbSqgWxy8cvq/Sgf0olUr29zDoMIJnZ2fWEQ+bE7y/+nnHD0XoGD67moQf6pMuLCwo978JyLDLt7e3VsN1ampKqVRKo6Oj+vTTT7WysmK1mT15hC0vFoum356bm/tJya5+cwjYk5OTk8pkMpqdnVUsFrN7GbnA8fGxqtWqScZwPFkrr+ME7J6cnPykQklwHv2vvAPsZSQS0fLysnK5nP7617/2lbgFUUI2PZUQqtWqXr58qW+++Ubb29sdmvpuzg7P59loP6hq8/btW0WjUcMulNNEC00FidHR0Q6JYRB/PHb4aIfP2fDAFWYY51V6iMxub2/r+++/1/fff6/Dw0OL/NCoAe0uGmeee2BgwN6Z2vzsSSJDmUymgyx4rCyiZ1RAnU+fiRpk4HwjAozU9fW1GVa/AFyoXIiS7DAQHmISEaWTkY5OqtlsGgjysoZ+FrkbwxlkmP0Ee+aMJJbV1VXFYjGdnZ1pe3tbb9++Va1Ws4sCI5VKpTQ+Pq7JyUkDFWhogoAt6Cl1e9bHDtaEMIEkk3MApoLeo39nX0sXw3l3d18nb2VlRfF4XDc3N6pWq9rf31e73bbC9UNDQ4pGo6Zn9fPI393c3KhWq1nJjF4ZLUKNhOYJw6A/ojQJ+kdJVleY8E2tVjMpBQbGF90HHMdiMTNW6IDK5bLu7u6MEeJdeRd0QbANH2q5/EsjFHooLYY2DjZ0YmJCQ0NDpodjX5G4ls/ntb+/r5ubG6VSKS0uLprHDAM9NTVla0EIiPXn4gJUEhoqFosqlUp68+aNNjY2rNMOHeV6HR44IZNgHcnwhUFFNzg9Pa3T01O9evVK33zzjQ4PDzU+Pq6NjQ19+umnmpqaUjab1ezsrNLptPVfZx75XBjzkZERa3RA8ijh+3q9rpOTk46uZv2+o/9/ziD64729PR0eHioUClnW8u3trV6+fKl/+Zd/0b/+67/q3bt3H2SdisWi8vm8yuWybm9vNTExofHxcQNIXjuNlhTH60MX8WMGeQfYet4NAMOawo6THNhsNrW9va3//M//1HfffWdSJO4U5gknEKLC6/A+++wz5XI5s7u0KAUg+3kOgqR+RxBkQUZwOXut6+XlpRKJhO29H374QX/+85/VbrdNT7qwsGARg9XVVcXjcWsog33yUZjj42OFw2Fls1mtrKx0kE0fo63HKSdxjsiSZ0C9/IQqJciViKqOj49bRIbugMFwcTCCGmQN+Tfsx4mJCc3Pz2thYaGjdnKv6+bZau7jo6Mj/fWvf7WSgL50VTBK66Npvt5wsAU8hAM6WggR8mXQ41er1Y6kStbY37+PHV6y4+fV5y8hPQNbUYN/Z2dHP/74o169eqWdnR1LaEPuQjQOYMr3cdYajYbVUec7cFoBy+l02hybbjLFbqPnnRzM1g2yI1QhoIYkXi+GgmSD6+tra8VGf/nx8XH7DMpskEUNuwN4YPEoMH92dtYRIvHhhV6G91CD4nZP1cMo8I7T09PK5XL65JNPNDc3p5ubG+3t7WlnZ8eYPRLQQqF7fWg+n9fk5KRWVlaM8eEiJtPZP1O3g9sv6OHioIMPBp2wDv8meKl2C3XCoi8vLyuTyZh+7eXLl9ZPPhaL6fnz55qdnbVwGNnNfAd17ghxX11ddZT9eeygIwrGxYfnKd1WKpXMGCWTSU1OTuru7k6VSsVKlwBY0aIxP95hATTNz8+bvhkHjRqbeLT8LIwwrUhhR3sZXLoAVUDV3d2dJRmQGOk93mazqbdv32pra0tXV1daWlrS5uamZmdnVa/X9d///d/a2trS1NSUNjY2NDw8rO+++86aHJRKJcvcplIEzsna2pru7u50cHCgt2/fmmPQL3gNsnWefYUx906yL513enpqujtCqYeHh8pmsx1VQOLxuDKZjEkhYHabzaZdFBhmX2oLLSVRprOzM8v87mUNf+59AVxHR0fK5/M6OzvT/Py8stmsotGo3rx5o//8z//Un/70J+3v73cAV9aI+YLlh8Epl8sqlUqanp62xiGwYITXYS1Z437AazC86RN7+H/AMbrUUOi+HfGPP/6o//mf/7FKGNKD3WXu+FnA8OnpqdWHRAo1NzdnCTnU7uSdsS1ePtDPCIaNPUjgnW9v71uDognlGQFctKJGPkALUrSE0WhUg4ODOj8/1+7urkqlklVw4TvRtZfLZTtznjn9mCgeETW6eXktK+9OjWi67TUaDRUKBYvwod2dm5szB5sEHumhW9PP3d9BdnN4eNhC/f2C17u7O9Oe+k6YVM4hT4REYnTcPpmTfA2kj5lMxuyMrxrQbretrB0dC5GqIZkBQ0HM4Wz6pPZeBj/jWW+fdO+rNWGvScB+8+aNtra2dHBwYE4IteApIQYJ5isL+Gg1ut9Go2G6ZEgVklAhHh5bHrNn8OrRuZcOSA9hRdiei4uLjkQkPD/C+/4FvSfABXJ8fGz6JvRsbFwmGvb1/PzcxO7BQ9XL4H26CfoxsJ45kO4NdCqV0urqqungjo+PTaNLG1RCzXgZFxcXKpfLppkj0x6mwDMMjGAovx9jy8FhvTiEAH9C2Ly/3/DMN61RvW6VunjU4svn8xoaGtLt7X3Xokwmo6dPn2pycrKDDeAdfGUJQt2eaXnsgIHk/UhgQWZSqVR0cXFhPcIBLrVaTaVSyUTmJH944Oo9S0m2F2Aiw+GwsbYwrRg7/44k9+GQ9SobCFbmQKIRDoc7yrD4BLHb21vr4FOv162e7xdffKF4PK43b97Ye42Pj1s2bK1WM5aWEG+wOgbarPHxcZ2fn9u5hZHsRzbA8KyLB45oJDkfsHCEjYeHh61bH8lckUjEqoD4tcFpxmHm9+gqfSc15ogmFjjavWrtPpSc5d8ZhoIuePPz84rFYlbmrNlsGvPBZ5K4JMmy9yUpk8kYkzc0NKRSqWSyHM4xtpumHB749DM+BAr9mjFvRFhqtZrevn2rd+/emXQHZ547ApabteDsEYpEf4+GmXJHvrSPBwHY236qYrAvfSSp2/t6xuny8tJIDBzCmZkZbW5uanJy0qJ33AXkdgCq6JqHpMA75zRAINoSvDP6XU8AtGdd/R4mjIwe9/r6WgcHB6pUKjYHAwMDmpqasoQo/py18+w/sic0kdwV3vEBvEI0gAF6HYBXpF7Uwka7SwUCL20g+U+SaT4hgyDkSH7GXlM5wzOpdC/0bWchcNirNzc3Hdimn4hyMFkSDOfBK+eDEoTk6xwcHFhVHvTzqVTKnELuchzkdrvdkRvBnsPhByTjzDWbTT179qyjFf0vjZ7Ba1CALnXWfoWZpV5fKBSyTUW42CfS+OLaMFSefubf+dACRgiW0td+9c/ZL4DttjG6aW/YjNPT01paWtLCwoKmpqZ0eXlpxYcJa7bbbct2X1tbM6aVkmIYNhabd+tmTD1D08/oBsrZ2MHLyht3sgjz+byOjo4UiUT09OlT8/wJN3K4gvIC2EIPWD0w5RkA0V6a0sugkUCr1TIAAADb2tpSs9m07m3Dw8NqNpsqlUrWVnVyclKxWEzxeNz0rryDH8Ew1vj4uGZmZhQK3bdcxTnhwuUssNeR4Ph5fuzwOjZfrBwNEUYYxo2qHVwkkjQ3N2eJF7DlJDzgbNJhZmFhQcVi0RxPv4c808SfYQNgMPsZOJDSg/H3GbCcK/6eUkvJZNISJ0kYHRwc1NOnT7W6uqpsNmuJgZy7oaEhixrBYlcqFVWrVWOTgkATMN9sNn9if3pdQz4zSAbA/sbjcaXTaeVyObXbbUuamJ+f1/z8vK0DTgsOdKFQUKvVUjwet4tBkkXAYK43NzfNiaaRAQCxXzvDM/n//Gfd3d1ZggeX3fv371UoFExqhZTI3zFcfNgSz9SwZwYHB9VsNpXP501SBlkCwGOP+7nv9V1xaP3n+PvD22p/52Fz6/W6tra2rAHPs2fPrMtbPB63d/YaRGwZZSNpMRqMgnLufMWBj2FesQfU6A7OF+CW7yFxm4ijl9WwbtLDOcCGHR0dqdFoaGBgQDMzM0qn0wZovOzBnxcAbDwet+6AvQyIKWoBkyjYbDY1PDxsdwVgjUgAER+ea3Bw0MArTgVyI+q/E20GLBNhwUlDbsC7ATB9mcV+RnB/+D9jn/Fu5OUUCgXt7++bxpUWrsg8adfsOw56spKzwLzQcIS7CsYaZw7w+5gyp70LYP53BA0SB5Mi0bSHw2OZmpqyTO14PK5wOGwlpHw7PF+Pkw3ue1VzUeMhwJggZeBnPVjqZXRjO/3wxgmmibaneJOeDsewjYyMWIiSMJYkY3g8q0cmtSS7rL1OhfmXei8jJUmzs7OmAfWAg4PhtcNsZupKUqu11WppaWnJwls4EbBePuFFetBDwXh6kNtNDsGe8gDvsQOWlbIjl5eXBsyKxaLOzs40PDxsXi0g5fr62sJP09PT1pHKh6iCoM2vAwBWut9HhJM904ORDYfD1ucaGcHHDOQzrVbLDDBSGxKTwuGwTk9P9dlnn2lhYUGffPKJPv30U+uXTrcqzg7GdmlpSWdnZ9afe2ZmpiMjn/dFH+pr/RFJ6DWkLuknzg9/hmHze8NnMKdSKWttnEgkLGt3eXlZKysrVkkCtpR14T0uLi4s6ez4+Ng64gRZRLLY2ff9gFc/fIhZerADoVDIkgljsZgVtt/b21Mul9PKyopCoZDZG84RTC2XL2WNuGiKxaIODg50d3dnIDgejxsT6ls+9htO905N0IZ5EgIWHK0fjCthYA9w/H8+egJ4HxkZsbsoGAHEyaYxCc/4MUQA7xIcnu3yxICXHXFOwuGwksmkETwU8T87O7PPIXEPyQcVayB3APYe0HuywDuZ/QzAXbCCgf97ziwsK/ITcinYf5BUvuoDP9tqtSwpslqt6uTkRIlEwsqhITPwoHxg4L5zZTab1bNnz3p+N/+8zCWJm76jGecM5pQqF5Ksa+HAwIBVppmYmND5+bmRCLQunpycNCzjHfRw+L7aBMwj7wrLHWRQHzuC+87/yj0LFqnX69rf31c+nzfJBNIwJCGjo6OGuzhbrK/0kGyKLAQyq91um92F2ID1npmZUTabtSoxvzT6qjbQbWJ8gV1obk9Nd2NC/WHyiyM9hJMAs/6zeA4vXfDPwq9BZuMxw4Mqhq8C4AEXniiAdGZmRhMTEx1h97GxMSsHQUIQQAW2B0PLAYaR4D19K8Qg4OsXvLJJfd1Ob+BDoZABu0KhYP+Vy2UDeYjR/dzxK+F//5z+WbuB1m6Xk2fhHzsIkwO8KQmFYZdk3aTwjDFSFJ4nZCepQ+MtdWcw/P+j04UNhJkDuJLxzHf3e6H4vY1OqV6vm646kUgoEolYfc9wOKy1tTVFo1FdX18rnU5reXm5oxC2f89YLKb5+XmNj4+bbplwPBEUX8UAR9ODfcrk9bNPYdH8z/q58mwEbDahvlwuZ3Vuw+GwZW3TMpSoBwluJOBJ99rDt2/f6u3bt5LuK2X4eQnKaLp17XrMCGqn/Tu22w/Jr+/fv7cLD132zs6OCoWCRkdH7ZJsNBp69+6djo+PNTk5qVQqpVgsZoAICQFORjh8n6kfDodVKpVMJkLGMO2sfQmjXkfQ2eNz2Gs+6sOaXl1dmW7QJ3zx7yiWfnFxYfaXqjTIe9ASUsLMZ737xBo///2CdP8zHqQHI0lBAIncaGlpSTMzM8aqorEHxKANRQJVLpdVqVRMR8qcsgf5Od7bM2Af44h4u+7tnf9Mz2ADWKgu5MPUHoj5exXm7fr6WrVaTScnJ6rX65qenja97czMjOLxuDnmjLGxMath3GvyZBAUsg8HBgZsHwJgIZrQzE9PT+v29tbqQN/e3mplZUWff/655ufnbc8ODQ0ZEJbuWwsfHR1Zkh3zBxGAnIefweawDr0Mf9666dCD4LVYLBrr2mq1NDU1ZbkCSEK8dMdjJj+PvoGI9KCJBR8GW24HybmfGx+leWVSgtUHeOiJiQkDfoRmEfzysDBjeM1MhvTQSs+Lir3WD8MAzexBGP+235Alwy9I8LMIayz/b/tNsmRrtZo1Zpifn7dSPj5cTJUBNB+3t7eWock8+NJFQb1PP7oXRr1eNx0f+h7ml2zu8/NzY8b39/dVKBSsFi8Fz8/OzqxDFR4riV+w5ei0fMKAf5cgKwMrApPVz4UJoILZgRkbGhqyFpqEZUjOkh4OGuwhbAfrHmRZgxcz7wPzyK+UtaF2H4xREAD1+o58lySrHEGnLB9GoxD44OB9u9RcLmfhrsnJSV1dXXX0TEezzGVxd3dnzCNGMOjIIc8AEIbDYdvjExMTNse9jOCFG7x4uUgxngAtX3d5eLrwMQQAACAASURBVHjYkstg0XlGbAmfAXhAT0hCk/QAwvyv7IUgGHrs6CbPCX42z4qdI+GQMmADAwOan59XJpPR0dGR/uM//kOVSkWfffaZstlsh36PZjCzs7NaWlrS8PCwOXUklQJM0EvijHwMsOv2c0EZUbvdNtkHjhKl1jyL47PXr66uTD8ZjUZtrcPhsAqFQsf6evDqwZV/vn4YLX/ZBj+P7+Y9WUNs5MjIiJLJpNUzJ1k0FAqZXMk7aswPERKqXEjqAKjejvk64pAT/bLMnP0Pybm8U+LZVEgMEpt8YxQcERxAtJ7B/IparWb6+3q9rng8rmg0qqmpKcs3GBoaUiKRULvdNsfzscPnIkgPNp5GCp4xRTZBQyKkZzD5l5eXSqVSWlpa0tramkX5AKYewPsW8UFmVOpcSy+X6WftukV6fDTAR0dxDr39oZkE9yqYhjPF/HGOgg4Kch1frxaZky8bCkP7S6Nn8Eoyg89MY7MSIuBShNFBl8PE1Go13dzcWBtVNiBe8tnZmQFS3+owyOz5chSe1ic04ZM5Hjt+7t8Hv39yctLCr7Ozszo7O1M+n7e6g5SRKBaL2t/f1/Hxser1urF819f3bTVLpZLVdUun05qcnDRPyLPNfLf/rx/9y6tXr6zCAZebrxLB5b2/v9+ReMMBJIv07du3qlQqZoynpqY0MzOjTCYj6SHUF2Tf/Vz6+fbaG4CrTyR77KDUCAXtKZ9DowH015eXl9rZ2dG7d+9MI9tqtawUCOyUNxbeafDz798LIOkT8NB9c5kggyFU1GvIudlsampqqkMb5QEkfdC5sCip5du9hkL32cFXV1dW1mtyclLn5+emU8PYegDPd/HZeOKwJHd3d3a2SfrpJ2GLuWGeMYxBORGX88TEhDVBocA4tYIxmuiXw+GwRUBgtur1unZ2drS9va1Go9FxGWOQg2v/MRrCoAyI/4LhXkpIkQUNw350dGShZcpa0WsdjWyr1VKpVFIoFDLAhxMzOjpqTqJvc8klw9xwcfbrLHd7by5M5pDoU71e1+XlpSKRiFZXVzU/P99RwJxKE61WSwMDA8bIwUxx+eFQ0wLYM6F+Lf8W7+SBsN8jQUeHOwtJEkwxyUa+6oIkA+qVSsXOVLCNOqCc7ydM69vq+rD0x6wjiZfIU4J7vxu54okXEir5j+Sscrls0SkccPYfoAdyhTKGYIZMJqO7uzuTRRF+7hW8Bu08NhOnd2lpyUpaYbdZU5xMnzTYbDZVqVQ0MjJi+5r7AHJgYGDA6lRTJ5VnwObiZPt7kvXvZ3insRshwH4llycajer09LTjbvESK0CrJxS5A6WHO50OXbR+lu4d45mZGeVyOT19+lS5XK6jW+ovjZ7BKyFWLlu+hAuZMkgU7Wbz4WGVy2Xt7+/r+vpaqVRK0kP5iUgkYu0rAS2EETzDCjIPh8PmGaHzYzOxUP3WXvSDzeI920gkYm3p0LAeHh7q9evXOjs7M30v4Z79/X3LqmNjUq+vWCyawRobG9Py8rImJiZM8O3D791AfK/DA4CRkREz8DCUhDO2t7d/wsjAxNBtiDEyMmLgdWFhQZOTkyqXy3YpeolHEAx6VpY/88bhMeJtPxqNhontffYqLexisZiFj5m/fD5vheAlWeMGGMtg+NqDby4NQNrJyYmFvGDnFxYWTO+dSCRsb5DY1es+LZfLpknlwgOEweAQ0WAOydzljOD5Dg0N2WUQjUZNEyw91FfGAfDaPeYhFAp17B9ABNm2OEe9Dm9kuQQBAGTDw7SheUOThe2hPivhd6Q7gB329O3trer1ug4ODiyBEtbMXzhBkAJ498lljx2eBfMApBtA7nbZkFSC9MQn00mydsylUsn0+DR/8Y5U8Ln9+fMObj9APSgT84Cd9/JMqGe/0IT76gL8Gc4oFyPOPqDt8PDQut5hb3knH/3xzxiUtT12BNfJg1V/XpCZzczMKJFIdLBons3js0j4fPPmjW5vb5XNZiVJyWRSa2trVupuZGTEHBNq96ZSKZMK8YzdwEovAzBNEnK34feIZ16xn0T2isWi1UlmrWD5PpTICiFFHXkIMBwwtJPoUXsZXqqGU+WlF8wbpEitVrMSnl6yRCMT7hvqM3O/oHGNRqNWRgt7xv7xUS2AMS2O+fNeyY5uZJH/O5xknKtUKmX5K6VSySI+oVCooxqAP7seuPoqBmdnZ2o0GibfY27S6bSePHmi9fV1PXv2zGRL/2fMK5eYDw3gpfiwMQWKAV8Yv0gkomQyKem+MDzaFVgePoufJ3xJGJTSE0yY9zLR+vFcXkrw2MHF7kN3fJ/0UBg+lUrpyZMnyuVyGh4eVqlU0tu3b1UoFOx7Ybm49LjEMUrb29va29uzhALfTvfp06dWp9GPbhdcr+Orr77S4OCgisWixsbGjJ2klRuFqAnhUT/UAxbPYMDc0BawWCwqEomYd80zeq+POfUXhgcrfI+/zB47CM8TcgJAs1dub29VrVaNPX/69KmGh4e1s7Oj4+NjlUol27uUWPJMqdTpqfOMGNZyuazj42Pd3NxoampKmUxG2WzW2nnOzc0pm82aYSLju5dRq9XsApRkiYO0gm2323r27Jk5f1zYQb0aawIQjsVipsHCAPnL3ztw/DxOCZ8zNTVlwB9HtB8nS+o8d5xpH8bDsUEyQK1GSiOxr9Fz8Xc4uz7JFMPq58ifL+aPd/fRH5/k+NgR1EL64c8bES4SXGDrBgcHzdmEVaZUHRfO27dv7VxTd5KW29IDs8plxBxzaTMXQWbqsSN4pj1wZcDeEHEql8s6OTnRjz/+qG+//da64uGEMR/MoU+wAcCwXxYXFw3M+GxtX6EgCKh7GUG9n9SpbfWfDemRTCaVyWR0enpq9w3JUNgRQugUiAdUEdn66quvFA6HTYdO0jNd5iAQ+H7/nP3KBq6vry2HgKim/7zgZwdlA3zG8fGxtre3zWGEbfdzymd5Fpu9hCMej8cteRT76WV3vQxsANiGaEe7fd8s6eLiwuqcbm9vq1Ao6OrqyljzaDQqSSqVSlYtgefe2trSu3fvLDGbqgxEiXBAIAwIqzMPJG6OjIz05SR/aPi14mxhQ7wMAKyA03J5eWm2t5vzjawA0A2ZhESJSjBra2va2NjQ8+fPrVITdvQxtrSvUln+QPqHB7CNj48byOVg8ndPnjzpAD8YIhgyLkwy87kYuIjw/DDsbGQMli/x4r3rxw7PZgbfEeAajUaVzWaVy+UUj8d1fX2tUqmk/f19VSoVxWKx+8kd7GyNSEiBzmG1Ws10L7B+Q0NDFqIgQSOoH/GjH0P09OlT8xJJ9KCG2+zsrIXqxsfHNTs7a9n4hD5ub2+tm9HMzIyFRpBFoM3CkyVU+3NaKf4ebw+GHaPby/DlmXwpJM/o0L6QbNHl5WUNDAxoZ2dHtVrNsp19iA7nSHqo78p6EM4sFov27mhOEfXHYjFLooIVJAzY6+BnudRHRkYsfMplgLYa0I3zxKXqHSoSEAiTMfcwb7CTnh33Insu19HRUWP3gjUO+xlBjS1lv2gtzLPCBHFGKQ3mmTvWiwgORbiZQ+Q8dF+CJUHDHSyeTUJFtx7yjxn+33sGsls0Au0/jj3Z6FxoIyMjmpub0/r6ukk+rq6uDOxJ97aSShpciNQzpoQbzDnvioyn39wBr7P0gCTIXIdCD5U6EomE8vm8CoWCdnd3Va1WdXl52VFGxzeNAABScocKN0Sw0CV68IND10372svwEZmgpCjoiFNCaXZ21kDgzMyM7T3O3N3dnRqNhg4PD/XmzRu9ffvWgFUul9P4+LhpgXFU9vb2dHd3p7m5OT158kTz8/MdJf6YZ56zn3Fzc9/trVwud7CIQfDOgM3DluMQI+tiD7bbbetuxTohIbi4uDAbQPIarY4XFxc1OztrRf2RDlE/tpfhK6QQZaHzZa1W087Ojq6urlQul7W1tWV1r7FFJGtz9w0PDxvpUygUdHR0ZLkFSLU4z8vLyyaZJIKAvAfb53FXP/r6IJbxv0Js0DADZxZWGAKCklncqd3Kl/GZRNqRkiHhQpe8tramFy9e6Pnz55qfn+/4rP+zUlleVxoMs0C1Q+UDRCUZo4cOVLoPax0dHVkhY5K56E5BIgKJTXt7e9rd3VWr1bILB60lFw6bwnu7vQwPNr1Gk79DVzc/P2/eFoWmy+Wy6vW6BgYGjP1rt9sdIdyLiwvt7+9rdHTUSsFcX18be3J6emremxeic3l6BqTXDczwWamEqwhxcxCZ16WlJZXLZe3u7mp7e7vjEGazWW1sbCidTlv/4r29Pe3v72tvb8+KETOPH5INcEFfXl6a9pRwNge4l3FxcWEeo7+oADGAGw/mqI05PDys169f6+joSMVi0b4bzRmVBPze593xuEOhkKampgy0osskKgHzDoOB8ehnHWGTcDYAqj4pyetvabnrw/AUpSa71hskb9yCZ8NX1eCdWq2Wlaqanp42GUU/8p3gOfTMLlEbjK1P7gPgIWdAikTCxfDwsC4vL1UoFPTy5Uu1Wi3L2KejGhr02dlZZbNZxWIx0955sE/R9n7AK2FB/77eKWAtvE6Qrmw4RYDMcDisRCKh9fV1K/FGN6NisahwOGySL0rHnZ6eWim0dDqtcDhsdW4BXjBi/TiRrB3v6oEr5xHGkb3KWaSVtA/nIhGQHpJ5g5pK5hCWE4kQ5bO4pH0Jwo8Fr6xZt8/yzCH2Np1OG0AjqRl2+f379yZfeffund68eaNisWhaU5KVAGhoK2FdV1ZWtLS0pHg83lFJhmfph3nl566vr1WtVnV0dGRhc2Q7QZvo58cz+Gi2Af3kAxCVGh0d1enpqQ4PDy16AJiMRqOam5uzspTIg5gbnPV+wCsVUfzZxl5QSYDIIo1sJFm30OPjYwt3s88qlYra7bYBa+nBblJ9pt2+L2k3PT2twcFBS2BHQ+tZYMCtT+567AhGkBleroMtIZmQSCUd3gYHB5XP5zvqQE9PT9seZq9IMixDTVdsCkTRxsaG1tfXjXHlruds+ipGHxo9g1cSA3z2vw+PcLmAzn0Il39PMf5yuaxCoaC9vT1LWhocHFQ6nTaZAWGg09NTK91AUeZYLGa18VhYr5XsJ9nHXyB+YSWZ5wzdT1csivnSF35kZMTa/F1dXVl7PC4rsvkJueJhIlYHCFOSCJbB6/v88/Y6OExINJA1eIkAoXJCM1wohUJBtVrNAODc3JyWlpYk3Re9n5ubUzKZ1MDAgLa3ty2E7bUxUifTxGXWbDatGxYsYD/1T4OlPGCnYE7pYoJ+6eLiwjqf+ezJo6Mj7e3t6fz83Lx8X2aIuUQqQZIPDCtVDWCMmGPaDgKQcL56fUcYQX8JUyKp3W4bqMaRBAyx5mg6fe1I9gbPCUNPlQSv44MNabfb1s4zHA7ryy+/1IsXLxSPx01v2g9z55mdIDAFwFI6h5AXoIR3RBfPfh0fH9f19bUKhYK+/fZbffvttwaKVlZWND09radPn1r0JJPJWFgPHTOGeGxszEA0YfxeRrBqg9Rpf4hW0YGnUqnYez958sTO1+npqYrFolUroQvXxMSEarWabm9vtbe3p729PZPzUGR9YWHB3pdmHs1m0zR42Oteded+eGDn5UY4I7D61Laenp7W4uKikQE3NzemW2e+sF3MYygUsrMwMTGhhYUFraysdOjoiHJ5mYd/Jql3GRbv4Znkbhpl7saJiQmlUinTEeOkUJeafIOtrS1tb2/r4ODAchIqlYqBW8D4+/fvdXd3Z8X5V1ZWbP19iUWvr+518F53d/el/SCcqtWqdVmSfpp8Kz3cw756C9KcyclJyw3x90axWFS9Xu+Qk3i2lVaqU1NTCoVCHVHbfsFrJBIxXfz79+9NfjQzM2NtsH23Ou4lsBBEjd9LAEZstXdqsEvIeKampizyQRQJW0c0iDXwkqLHDm9/u9kbno0zQUSLRF+eY2RkRPl83s4mdywSAu4OkvO9MxyLxbSysqLNzU1tbGxoeXlZiUSig6jyOU6/NHoGr+hAYHwI3XiDOzEx0SHOhkrf2tqyCeJypJA7SSsknOzt7enly5fGdHFQw+H7mo25XE6Li4uan59XJBLp0OJhFJmUXodnXAGLhA9jsViHIJ7wDuFHQAoVFaiugD6GkJ7vLOHLOTFXMGSE5H3TAn9A+hlB/RqC8Xa7bSWyAAAk+IyNjVmHn729PR0fH9ul440RlwLeMCx4UDIQNKTsF+aETiR4p72M8fFxYyMkdWTYA/w9I8Tz4BCtrq6a10sCntekDQwMmMdfLBZ1dHRk/wapAJn2ZP/CiHIeYJiZu16ZV0A4DD5MaywW06effmrSmmKxaOwuexlWTrrXsKPzhVFpNBqanJxUqVTS8PCwOVuSOoCypI5L7fT01Lqura+vKxKJ6OTkpKOGai+DUCrvC3tFcidFs7n0YWK5qMfGxiyrG6OIdu27777Ty5cvlc/n7fOHhoa0uLio5eVlra6udpyLg4MD7ezs6PDw0JInYGlpH/wYtiD4fkG9oL+ckEC02201Gg0NDQ2ZI/nixQvVajV9//33KpfL+vOf/2yXNqAFNvzo6Ej5fN4Y54WFBY2PjxtIXF1d1fj4uCVVXF5eWrIPDne/UR5G0HFlkCRycXFh+3R8fNzC37D2PprgZQeeaAC4kgjyySefaGFhwdpUeo1yUMvbr6wFmxJklYP2mX9HK2f0yrw3lU6KxaLy+byFpnH+uYOQGcHwDQ8PK5lManFx0YBrMpnsaO7gweffYtC+d3d314Al3xVcZ8/oeQeBhJ2nT58a+0aNdOQqkowggW1NJBId9V0hyQB8RLd6HT4vpdVqGVBLJpPKZrN69+6dRQL8OzKnXvcflAryq//z8fFxzc/P68mTJ8pms5qYmDDCgXXFMYfZ9Pu+1/0aXHsf1QrKEvhsCAFkBGjhAeL7+/uWO+IdSRhXIuTtdlvT09NaXV3VZ599pvX1dS0tLZmEzkcBg87kz42+mFceEhDKwnE5+kQp2LxaraajoyNLZiE7kp9jg3tGzoeZ0fksLS1ZbbzV1VXTDBFe8AWQ+9W8Bjca7+qTb8gURJhMFxsAJ6CCEAShATws7+3AVntj6uUWGC1Cll4T0o9B8swHDkM8HtfFxUWHnpjQ3eDgfYem6elpa5laKpVsvihLg8YpkUhoeXnZqiucnp7av2VdpQfASAgNz5c5YZ56Ze2Yp3a7beEP1hHpAPvT10kl3EMhZhLOjo6OrKGDvzhOTk5MKuATlXwLQN/IAZ2qL+HG+/WaPcp8VSoV6wh1enqqiYkJ5XI5nZ6edpQ4AgR5JsTrVQEISAtIdiNshRPjmWkAKVm/S0tL+vTTT/Xll19qdnbWJEYw370OD1R8FARpUjKZtJJvsPWsHe+Ebgtmf3d3V3/5y1/05z//WVtbW1YXF53W9fW1MVftdtsqR2xtbWlra8v2fSwWUzqdNsDcD3j9kGQARtaD9XA4bLr4iYkJraysWH3Mb775Rn/6058sSoWtCYVCHc51u9220nfr6+taXV21S0SSRcSCmtDgpdbLwM50C1dKnYl22CPpvjHE2tqaMdxjY2Mql8umz/caZ/Yn7GMul9PGxoZWV1dNluVZOV+7ls/odwTBq798/Z9JDwwc80uiJhrHarVq8iwIAmRO2FdsD/OSTqe1srKitbU1LS8vK5PJKBKJdGidg0Cq1/fFRjCq1aq+//575XI5zc7O2lnBrvoQMnsYcIgTQX3ebDarVCpldtizrTSfWFpa0tzcnFXIYB4IryPP83Vtex1IE8/Pz61UIPfd8vKytQ+nAxxyM97RZ9/7vYEN5FyHQiFruf38+XN98sknlkDJd1MjnnskHA6bRIbv63V0kw0wj36Pemcae++blGB/pfs7k9J8lAWDAKMsFqTd8vKyXrx4oRcvXlhdY3T73rHp5d360rxKDxnW4XDYRM4e8I2MjNhF4rMNyQolHEU4JcjKBRm9eDyuXC6nTz/9VOvr63ry5ImSyaSGhoaM6ie8AmNDaLSX4TckhxZ9KP3BudwIm3L4AOJ4Mvye8CdaQvSTvvMQehtC9pSBgfWk0LEH5x9jdCXZHGMsAMm09cXzQsvDWiWTSWOkfCkRSVYGY3Z2VtVq1VrJsq4cYn9I6OTVaDQUDodNssC89ArQSYQjrM7hR3fsHRt/IaBLhcFZXl6WdB9SQsrBvw2Hw9bXnj2KlwqbBNMOa3R1dWXv5UP4wQoAjxmnp6fK5/MqFosmfzg9PVUoFDKNH967L5vDfkJawfsSFmM9SF6anZ1VKBTSycmJnQfq/uJlX15eanFxUV9//bVevHihTz75xMAjBryfC8VrXTGyOFOAV5IHz87ObD/C/LfbbdOOId95+fKlvv32WysDh2NEFRDkSVNTUxocHLT6hCQsXlxcWOexhYUFY4IAyb0MH8r158GzK8gdeL6TkxNrC/rs2TNdXFyoWq1qZ2dHBwcHtof5TCIanMGBgQEtLi5awiVVGXxNYpxvnOhgwk8vIxjpCK4rdpEziQMbDoc1NzdnlSWSyaR2dna0s7NjenrY9ZmZGWu8sLy8rKWlJUtY8vpCkrc80PAXeL8jGIkISgb4Dg8GPKBpt9tqNpsWeUNShm3wrBS/h0jJ5XL2zpTi447h2Txw8kDhsSPoeJydnenVq1ean5/XJ598orm5Odsvnhjh994Zku4JA9bUl13iXotEIibTisfjlvzpQXEoFDJSjJas5G/0SgRIstA4IW8kXWNjY5qfn9fm5qYRZKFQyNpo8zzBveAjXcGo9MLCgjY3N/XixQutrKyYlAd9qHfafQI6+6bbmvzS8PgsGFXmGf1neifE45B4PG5rNTg4qLdv35rMg+Fr+E5OTmppaUkvXrzQ5uamVldXDT94uYB39h77fj1bI+/xejDiN4zXSmAMYU7pHX94eGi1OIPlt/gZwvTz8/PK5XLK5e77eNPjmw0MSwR49ca214ManES0c+l0WouLi8pms0okEhbiSCaTHaXAghnzfD8gOBhe8okvodBDjTQqKMC88HfeQeh3+AxQngX2gksSnRlicTxjQj6EDjwrg4YLcEG2pu+8xNoQGiLkfHZ2JkmamZkx8N7vhUKTCz+fPJfUWYWCNYOt9SG2yclJ5XI5u0BqtZpJOpg7LkWMsD/w7EUYPfaj190BdHtl7c7OzrS3t2dg2jsEQQAdjUYtuYF3a7VaBgZhlLe3t3V+fm7rGY1GtbCwYJ3jYLAajYbJMsrlst6/f6+NjQ39v//3/7S+vq7b21sdHBzYXuN7eh1eS4fxxRkeHx9XIpGwMDNlXLBHlL6hJmi1WtWPP/6o7777Tvl83sCuP3841kdHR3bmYMqxe2NjY5aQtry8bNr3YKvkfkeQaeYyB+Dc3t7q+PjYLpLPP//cOk7BLvPeZN7jXEWjUa2uruqLL77QxsaGFhcXrTIM0TB0th5QePDTzxp2Iyb83xMNACyzl8lMxommDTd3B9nlyWTStJMAHl8GjcgR2nKcNa+fZe77YSU/9LPdQrxeVuDB6MXFhaLRqJLJpDmOXnYlyWwxjsfi4qIWFhaUSqU0MzNjyTPYNB/p8uC5X7vKu9zc3Ojg4EAvX77U06dPLQKCpJCzwnv6+wbnCs1qUBY2MDBgthSpHucqKIEAvLZaLWuyEiTCHjvI9bi5uenogkji1srKioHVkZERbW9vq1arWSnGIPBjYPNpk720tKT19XX96le/0ieffGIdwZDroQ8dGBgwx4vP8Xdir9FIzxRLP+1eyN0YPAtB4mB0dNSwF+AzHA5bHXvuCOle8jE/P6/19XWLhKRSqQ576bXn/iw9hrDqGbyen593bH66bhCmZSI4LNSP5NdUKqWFhQXLJiyXy1Y6ipA4heTpTZ7L5Sy8AHBst9umrTg9PTXNKJccz9GvNpTJo/QPdTpJ+ECTCovljTyXYTD07WsTBjPg2bDSQ2chKHUMujc8PlGu1+HnB00t75pMJu2ypv7s1NSU6U8BhN28JA9kuZB4p25GFA8NYDQxMaFEItGRLOI9wF4GHithKgTnnnnwIVpYfg8Cucjn5uasVMjBwYGVFUMGQkKQN9SEnFlzGE5KoPD/7XbbDFMvA0AcZKYxMhgD2HoADIwxoIxwKzUI2Re066PyBNU8pPsQGz9PdQUYsLGxMR0dHWl/f1/SQ93FfnRofp1wethfOMe8O3pWZEq+EyClbl69eqVCoWAMtdd0Sg/SgdPTU6tP7MP5AFfYrmw2a+wROspeRjCE140FhIGjVSigvF6va3BwUDMzM/rtb3+rsbExPXnyxHRowbbH5Al8/vnn+uyzz7S0tGSMD22gLy4ubK05czBZ/ZbK8usYZNE9iGMNqRLh5TXDw8Oam5tTPB7XysqKJbfikOLoQ3pwzmDdIU1wpv3FHMxv+NhoFsMzcEFmTpI9N2cfexmNRrW8vGy5IL6UHuuYTCaVTqeVTCatMyVEh7eVfr6D//U7vK0vFAr693//d9v/y8vLNq+8u5cpYXsBQV67yuBu8E1E/DMDnomIQHpgY3w5w17G4eGhydeILLGfkMytrq5qaGjIyIDXr19rf3/fGiwEnTJ+jUQimpub09OnT7W5uannz59rZWXFgKvPgZDU0YaVZEl/VvohsLh3WIOgrpS5lh4iI574wckDA3DHc9+MjIxYMvfV1ZVplZ89e6b19XWtrKwonU4bjuA5/Dnp9Z16jwOpU+TrO2KwaX0oHHROCJeswdXVVR0fH1sN0ZOTEwNoni3iEiVze2BgwLo2HB8fWyY0z+H1YoTrexlBIw3Ake4BEcwbiwdoYTEIuQE6uUDQ/UgPOmBJ5t3x56FQyC58wIc/vB9KOOplUN0AdhiWBYYV1pUOVb7lqE8YC14+nq2mQP/S0pLC4bB134JloOwK2dB42DCWfE8/IT1fWP/m5sbWJBjKYd8CUsfHxzsOFnplShMlEglNczD+ugAAIABJREFUT0+rVCqp3W5b2SJYAhhnGB7AJWALJ8fPO9/fK/BBnxjc3z4MhGNZr9cVDodVr9ft/Ug8QKubyWT07NkznZ6e6vz83PRY8XjcIie3t/cddqjpS9H/2dlZPXv2zDxySWZ4eY5+tNkY0G7JddJDC0fqybIXYX5gZmj5ioQlCPD9PvOyH++Mj4zct25+9uyZNjY2lMvlzC4hrel1nwYNdhDkeGDuz9v5+bll+tIx7Ouvv9aTJ0+MCICJxnZNTk5atnY8Htft7X1he5+LcHd3Z5UT+F4P9PodzKtfS+mn4N2TAUgIYIxgaahv6tfJl8jylyHaaMpl9Utk/NL4kI3iWbqBV0kd9we2I5PJ/KTBCiwq1W5o0AFg9yRJkOUOMsMfA16DP1ev1/Xtt99ayH1oaEiZTMacd9YGmwdRw57sBlw8E85ncNci/zo7O7PKH7DysK79rjHVDUii4/tvb2+tugENEeLxuFKplGZnZ5XP51UqlayOKSF+mEnqKC8tLWltbU3Pnz/X0tKSpqenrUpBuVy2Ckp0JcTZZ92DUpB+HeVuDpV3cDwB58sP+p/lPEYiEc3Pz1tZzenpae3s7Ojk5ESJRELPnz/X5uamlpeXrcOfr5jkWV5+7QWc91VtwG9GHwbyGzAYPsf40OFmdnbWwJ3vP83CeMDrdXk0KqB8DODOgzomvR/m1YNEmI5yuWzP1Gw2LTO03X5ICAK04BEPDQ2ZR3V7e2tdONrttgH2drutTCZj/ZlpTTo3N9dRCgVv1XsrfjP2Okjy8QDaHxIPfq6urkyLwztC+/MsGJ+g5xaLxawIMXX6JFm3jVKppEajofHxcWOWms2mzs/PLaSEUL2XAWjyuiv2mmc4PYvH4fOXCXMAeIdhnJ2d7fD4eX/0ifF43KIDMJ+SOi5vviMYtnnswEhi3Blea813Ulj84uLCsnxxBnEYM5mM/u7v/k6ffvqpJFkIEwkCCWzNZlOFQkGHh4caGhrS5uamNjc39eWXXyqdTkuSOZ+UY4Kt73UEZTacSeaRZw+WrUGvTfOQfD5vDAlsPlrvYJJoN5A2NjamTCaj58+f68WLF1pbW1M6nbbkn37ZHj+6AR3/dwACnM5Wq6WTkxNVq1XTBVIeirnzjrwPy5+enlq9SpKgKMUHIGRPBsOHvQ5vF3gX/3feAQvq0HlfGHRPkHg5FqF12PggE+tzH/wa+8v4b8W6/tJn8F48t38vIkS8B3kVPprl62D6s8D3embNz5MH9h/DvPp3vLm574b2zTff2H3w9ddfW6TKO4CcNekh14J3Cz4P/+9tJXv37OzMnC7pvqEF0VgwQr/rSMIUMkZad7NHAZbZbFZTU1NaWFgwAsYX4ocUwNHwJf3IsA+FQia7qlQqCoVCVnYPKQWYgzsJp9zbvI8dQczGnvT18n301Mv+CP0TrQE7VCoVkwwQMYfkYX/6KLLfm72wsD2DV58VSCYymY0cDM/E8nvYNMAeTFtQkO4nkSxMyld4IOETbPxhAmTgrfa7kfk5km1KpZKBF8KKd3d3BrLpX09NuNvbWyuTBUtGEXnmyD/b1dWVhSq9BhbgCkgKGqd+3q9YLHZcBMGyMR4oI/0ALNFmk3CGv+AYnskiG1t6aL3L2sBYUWN1eHjYWG32Rz/vh96NkBWHnzllv7F3ueRgGPluik9Xq1UDfyTupdPpDk/97u7OWj9Go1GTIAwNDZkT4qMDXOo+tNbL8DUcfTiQsyY9nNVWq2VNFC4vL601YTKZ1OzsrFqtlpLJpBKJhObm5owlo581a0qI+fr62tjalZUVPXv2zFrVsteZT0BFP5pXfzF7gOgBFnsVh4v5IEwWZL2CTLDPBvbOM7pk2LDV1VVtbGx09OD2TH0/gAB9mzfmfi0BoJwvbCHvT+vFer2u4+NjawCDtpl3xqbw72H0YP2xS+jU/bnzjlw/w7Ns3YgEz64xQqFQhya8Wq1anVdqhxOlYq6wI9JDaTxK1fE9weHBa7+2lD3DefaXsP9MTzawB9GO1+t1269BR4hkp1AoZLkIOGDYbd4DPSxAwT/fx75n8J0Z19fX2t/f1x/+8AeT3HzxxReWzEilHeqEk0sAkAk+jwcyHuxSAYXE1IGBAUUiEesYh83qd58ODg5aqTJsHGXNmMtWq2UysXQ6rUwmY4D69PTUwKskI+qQlgFIuVOQPFLwn3XzNYm9A8m9ybr3G6kLzo/HXh64Ih30zqInWngf1os8GPCPT4wMjuBe7LYnH7NH+2oPG9SyeE+WC5SX59egp3l1ddWR2cpLefDqO8t4wy2pIxTsJQwAEB+u6GUEDSwGAgaLSwTDz3NBh/sagiyAr+NKBncsFlM4HLaDTPIBgBzGANaZzeoXul8jxOHvpjvxelwMD3Pp9YQwj0Edjb+EWWev9R0ZGbFGD4DZoaGH7lC+MgNhol7XcGpqqkPryWXGAfMeoKSfzK8HpbBbR0dHVorqyZMnevLkiZXvKRaLVt6EiwPNMM/PpeMNgZ/vXj3pD4Edn4DE92CQms2mdUgjGQt9HeXfYAXQlbH20kMSGtECysnc3d2ZlII1x/D5qEs/wwNSD1r9nmUe0IjzzvF4XAsLC1Y/lJJaPkFUemB42AdcOmSxk5y1tLRkRcuDDSL8sz52UKkCJ5BnIXLk19JHAWBDkOfQTIK6myRTetbOXzSU0sLZgsHmLPtkR0a/tobPCEaNPOMW/L3UWc7P1wCX1AFeveNNtI+ESnTKvgxjECR/7ODZAVo/B149MCOJ8K9//au2trZ0enpqzpK3v75dMXICHHM/p0S2FhcXzSEPMmV/K3Y5OC4vL7W/v2+d2/b39/Xb3/5Wn332mRKJhIaHhy10TilBgO0vgRbAIc1SqJCSSCSsEQd76mPuRfZLrVaz2s/ZbNa67QGgadoTj8c7SDhKsgEQAXg+IYk65sViUdVq1XS1fB7SBy9/8OeQ/e5Z7McObHlQPsAd5BP8fGTdE2nYKqmztCB4gFrg2JZQKGTRZ08k8Aye+PJr9lj2vGfwGtRAYPS8YcIYeoPBJLAZ0Xh4sBR8Aa9h9UwhF6IPhZHtj0fAz+AJPXYEwas3kITZuZQBV7DLGA0M7tnZmW2Y9+/fq1arWS1KasLy/GhEYXJhCz3z8rHhHgaMp5dV+M3p/xzDJ8nKaPkC+56d9Wvus+35HDRAsVjMDj9epXeIggC419aiPnvfe4ue9ffsK4cYwFypVKwFINmm0v2lOTMzo42NDT1//lxjY2M6ODhQJBKxxg68OwbAhwUxTP5C9Xu5l7G9vW2euGfKKT5/d3fXEcYCiDebTYuADA4OGgMUDt+3eKU2LWvOunCucQ59Yky1WlUoFDI2mOQF9nC/e9cbtyBIDF5WnH2AF/uOuqexWEyZTMY6qnmnmpAt60EN10wmY0XK5+fnrRuMrxYRZI16Gf4yYc/g7Pgz7y8SbKufW98Zy+v8PZtMKJpWnJFIRBMTEx0tRP13eeD8MYP5JZSKw+qTwPw6+suT6g8w1FzuVEjwTCVnmHfARhFJ8Xs2uFZ+L/U6WA+evxuL5GU8/N3l5aVKpZLevHmj//mf/1Gz2TTnmveiCQYtSpvNpknlJHXs29HRUSvZmEql7L2CzsD/BXjlfqOEWa1Ws66DuVxOkUhENzc3SqVStveQLXFWvUPDOSBiRZdOchAIxcOMso/8Pu514LBSrcFrVz2hRgTg5OTEbAF3pgednrzAUSaKS9R2YmLConhEDdjLXjfsdb/eDva6RnxeUKrBeQtqaoNRBe4YHOZGo2HlJ0n4pc06SWfUQ/fOOfePz0PxZ/Cx69czeA0aOkldvQDPKnnvAVbWs6hBQBwMjwe9TM+asSmChrDfg+r1u2yc4PCLTyH3qakpuxBpc4q2NAjmWFwfMuv2vB/SAvn37Gek0+muhjZo4Py/IXwSi8WM2eZy8yAMYwT7hpaZCxfw5sGa31PdkpB6Ba83NzeWAevDxB6wAloBtRgL2pzm83lFo1H9+te/1urqqq1ROp3W/Py8AUQ0rqVSyQrA40gBzn09Y8+meEao14SY7e1tk24QosE5mJ2dNV1kq9XSwMCAWq2WSqWSbm9v9fz5c/36179WIpGwfUl5JcC9d3BYVxojECaDoSbERngMp8snqSFl6GX4deI/6cGx9aDWh0fHx8clybTMMIxPnjzpKH2FJl962INkp1MDlXA0VQU8qJc6meFeR7D0DRedB3rBMTDw0H3o7u7O9i9l7qgcEowseEkMiaftdtt0fOxBb089+O33HXFAuRCxJ91yE3wEgb2GbhqmGyAa/Dn2gJc1IdUh6gVj7p0pP8f9vB925bEEw/9v7+yj66qqBP7LR1tbSoptWlPS0BRtKYhSFUWEASoKiuhYRmYcB2ThUnRtR8YPljoKDuhSYc3goMPs0XFc1g9UEAU/+FARsH6NOvIhtthYa+lHSNI2bZo2La6UzB/n7tvd25f0veTlvXdfz2+trJvcd9/NOfecu88+++y9j5XXrJTm92/GgKGhodTq2tTUlO4waUG0e/bsOcgP2BQLi0Vpb29P+4DVyb8n5TSCFGJwcJCuri76+/t5/PHHWbRoEZ1JtiBLZ2Z9zrvQeTdBU1hN+bNgttmzZ6fBYT6Vm9VnvH7ZEHz8ra+MjIS0dDZZsm3SLSfyrl276OvrSw0e/seUPjOc2U6TZmjw286ahdL6pI1zXreCg3PP+wleKdiY6w2N9h6agcX3Jz/RhAMBpJZhZtOmTWzdupWRkZE0xqOtrS2dzHmDiq0a2Cq9rYZ6V9Os62IxjNvyah0lu+zslT4/6zOLmgmyrNCxc55CDeY7u49e9IOIuRxYxykFE+remdzX0wYP66S2U9gxxxyTWnTMmmVJ3y1S2/wHbSD01sasQPcWmdGsV9nnVSwm/O0ZZ/HP0s/UzLpmAtUvkdgs1F5CUxB822aXDX1fyAbc2d/jsZ7DgX2hTfCbUmyKlbcANTWFDBZbtmxh9erVbNmyhZaWFhYvXswpp5zCkiVLUquNRYHaXtrmlL9gwQI2b97Mxo0b0x1YzOJlkxerp0VBWxoin0e0WBYuXMhTTz2VBnnY5GHu3Lm0tramvlWmJPf396eCY9GiRZx66qnMmDEj3Tp0x44dae5US2nn3TrMpcN2jvN5lc3/zLIvFLI2lCps4dDgk6wl0i/Zehlk/pumeJufsg8w9QqaYX3E2rS5uTmNdrcgRa/I+e+OV3n18tL7+JrM9DLHK5c24DQ1NaWThra2toOyZvhVDK88WiYRS/Rvky3/HPxK10QsPmZ1zI4LhWRLVnG1GIBZs2alqwSmkPoNW3z/MKuOZS7xg3KhgdLXezxt6J+JL4u/Z3Y8BFK3HPOXt/fXFCDLHW19xGSluRdNnTo1TRlmY46lsPPjoX8vCpW5nNh9TcneuHEjXV1ddHR00NHRwXOe8xyWLFnC0qVLWbRo0UFbou7atYvt27enkfdA6sNrLjxmkDB56t1i7Fn7Y6lYMG5jY2O6KYtN5s1a7FfUbLJkE4usYc/a3fqFteucOXPSRP02BvgVOq832WquX50er/KaNQrau5+NxcjKC+t/Q0ND9PX1sWXLFnp7e9MJoaUTa2xsTCcdQHreyt/Q0JCO5fb8RkZGUittqTl6S1ZeLSept9plLXjWeNaw/oGYBc67DNiPt9J4P1evrHrFx67xCpKPxPVLLMXS09NzkGC1+mV9tqwxBgcH04bNLgN6xc5mLVmLtbcq++dnjLYU5Z99qfjlQH9vLwiy/yurgPrZvPdr9ILSlpt9Hbzy6s9lZ5d2nbV/KXhfaJsdm69O1gfXUq/09vby0EMPsWbNGlpbW1m+fDnnn38+nckmBVkf2IGBAaZPn05nZ2fqy+V9F3t6etIlFevX1v4WUGPWTEvfVAoXXHDBQf3N+qu1wcjISOpX1tzcnO7KZO+vvZ+WSqqnpydNB2P+heYqs2/fvnSZ/Oijj2b27NnpgGl+xTbTtgHH+0f7lZFSGeu5+Eletu94C7vfXcxPuvx75hVh76vm/WGzgtVPbgu9o6XU0U/isvey+sCBSG1Tqn0S9xkzZqQBg9m0Qd7K0d/fT3d3d2rVNBlq9fCDs08FOJ6gO6/4Zl0RCo0Z5m7lM6E0NzenkdnmL+jT7Nk1U6ZMYf78+SxZsoT29va0zWxMGRwcTP1g/W6HNpCPh6yLRiEZ6pVXv9roxy1TYC0rjd9l0N4zaw87b7sy2YYN2eX3Qs+5koyMjNDX18euXbtYv349a9asYenSpezZsyeVNdY2u3btYvPmzXR1daXuWYsXL+bYY49Ndwj0E6iJvG+F8GnZTOHy/vVmDPMTY9NL/CTCr+TYuGjKmc+XPTAwkG6bbquYprxaX7A0jaZDZINLSyU7kfGT+LH6j/n79vT0sCHZ1fHpp5+mtbWV9vb2NEXiwMAA3d3dbNu2jcbGRtrb29PNVCyzjQWO2REOrNxm3QcOR8nKqwU/ZH1VsxYJ76flZ9omQK3AtpRlZm2bxZjFxi/z+QdqPiV+Wdr8Mcyx3YIzSmFgYOAQZc6/MFYGUxJMINoSh8f7n9mM0XwKTRH0/qWerMJXSMmc6GBZSDH2SkD2f/n6+2eStTaYwjZavQopqv4zwzp5qcrrlClT0kkMHBgArY9YO9l1mzdv5pFHHmHt2rU0NzezbNkyTjvtNDo6OhgaGqK7u5u+vj527NhBT09P6g4ya9asdLONtra21PK4YMEC9u/fnyZstomM9402RcDypZZqRe/o6DjIN9Bm0JbOyrJuWBCT+cLahh69vb00NTWxceNG1q1bR29vL/Pnz6e/vz+dPTc0NKQ+oj7wrbm5OY0q9QEL9mytPb3SM56+mlUGsgM+jN6XvfXATxJNOfM+l/5d9Mtq3rc0q5xkrT32P0vBW0+8gmpkA+/snK38mGXDouqtrrZbkN/O0lIO2qBqe4ubbDVrubdm2oTEZ+UoFe/WYf3VnptvQ993Tf43NzenGS42bdrExo0b0zRtNkh65XXatGl0dnayc+dOTjrppDQv59SpU1MZ7a1a3lI21krUWGTv4Sfn2XtmLWb+vI2Xzc3NqZ+rldm7xHn3LHu+WevuWMpNVjEpJ9n72mqNWZgtl+rixYvZu3dvQSuguTzMnDkzzaVq2Wq84Qc4RC4UUryKxYIATanygZ92fvfu3QdtRmIGNO/O4RVek/OWTsq7UPpNZrx+BMFiaRlhTFnOjo2lYs8u66KXXcXykyuTA8PDIb2epfgcHh5mzpw5HHfccWnsztatW9mwYQNr166lu7ubpqam9NqGhgba2trSlQUzfPj0kxaHUopuM67tYU3Ieh8mbxG1HyuI+VV4U7F1WD+oNDY2pj5Lg4ODDAwMpJ0q6xuafeBecNhgDaEjWE64YhgeHk4HaP8//IzHK1PW2KZkWd1s8DB/wJkzZ6bKjfliFrKwGqM1YjlmnC0tLQfdL3vvUv6vt3R5i+toL5pXLgrdNzsYmFArBW+xtV3bhoeHU3cH6yfWl0x5bW5u5sILL+Siiy5iwYIFbNiwgU2bNqUJ7i3FiU2aZsyYQXd3N4899hjz5s1jyZIlnHjiicybNy9Vhnp7e1MHfVPubOtOs/ru27ev5OjRtWvXpv3RL1HZu2duC5Yn1yJBbSl8YGAAgG3btqV5E22bVXv3/DKQvQvePcT6s1kWGhoa0rr6PmEW7lIp5E/o5Uch/yg/wTIFzDCZYxY+C2azQD6zto7m12r3z062xjuZ9Iq5PSf//7wSYlZCmxxYwFVLS0sa/LJ9+/bU7cWifHfu3JmuEMydO5fp06czZ86cdItts9yZFcn2iZ81a1aaNsuU+lKDCu0Z+edWyFoOpL50AwMDaVwAhBWMhx9+mNWrV9Pb28uOHTvS1GDWp62vmYXWdl864YQT6OzsTLcRtsmwd3OaqCKXneRnDTU2ocj6EHtFwcYzc4mw+vhVJ+/qYGOTGXe8D7S/p+GfeVaBnkyyY5xNgL3Ry9riqKOOorW1lc5kpeu4445j/vz56Thu9/P39ff3S/TjbVOfEckrrX6iCwf8P82S6GN4vH5i9/AKrXc7MH3IT+qmTp2a7iQ3ZUrYHtm7FXl5UQomS0d7Zlldx+ppz9vy8Tc1NTF//vyDdhzdvXs327ZtY926daxZs4bu7m5GRkbo6elJDSn79++nvb09dVm0+9nY4CcmWXee0WgotqFFZPK8vCuEqo46utR7/aD+61gP9YP6r2Psp/VdP6j/OtZD/aD+6xj7af3Wb3L2y4tEIpFIJBKJRCaBoi2vkUgkEolEIpFItYmW10gkEolEIpFIbojKayQSiUQikUgkN0TlNRKJRCKRSCSSG6LyGolEIpFIJBLJDaUn7isTIrIBWDjKx72q2lbB4owbEZkDrABeAzwPaAf+AjwGfBH4oqo+nfnONOCtwGXA8cAzgE3Aj4AbVfWJilWgCETkBuBUYAnQCuwFngDuBG5W1e3u2pWEeo3F/ap67uSUtnRE5A3A2cAy4BTgaOAWVb2kwLWLgYuA84HFwLOAHcD/Ajep6gOVKncplNiGncCfx7jdrar6xskr7eQgIn8FvBt4GTAb6Ce8pzep6t3VLFs5EJHXAP8EnATMAZ4Efgt8SlV/Wc2yTRQRaQAuB64Angs0AWsJMvY/VXV8W7jVIHnvp6XIGvedBuDNhDZ+PjAd6AF+A1ytql2VKf3EqJd+mocxsdqW1wHgugI//1bNQpXIxcDngdOAXwE3Ad8CTgb+B7gt6dAAiEgz8GPgZkKH+DrwWaAPeBfwqIicVMkKFMF7gKMIyvWngVuAYeBa4Hci0uGuvZPCbXodsD655p6KlLp4rgb+kfCibjnMtR8Drie8oHcDNwI/J0xe7heRKyexnBOhlDY0HqVwO95egfKWFRG5GlgFnAXcS2i37wHPBM6pXsnKQ6IwfB94IaF+nwYeAv4a+LmIHDLo5IwvAV8AFgG3EmTuVEI9b/UyNs/UST8tSdaIyDOA7wIrgTbga4RxdBUHlOC8UC/9tObHxKpZXhN2quq1VS7DROkCXgfc5S2sIvIh4NfA3xBmJd9KPloBnEFQYM/LfOc64CPAVcBbKlL64mhR1UP22RWRjwMfAv4ZEABVvZOgwGavPQZ4P8EqvXIyCzsO3gNsBtYRZptjzRTvBW5Q1Yf9SRE5myCs/1VEvqmqT05WYcdJ0W3oeKQO3k9E5GKCgL0PuEhVBzOfTyn4xZwgIm0EmdELPF9V+9xny4H7gY8CX61OCSeGiLweuJSwGvASVd2WnJ8C3EaQsZdRe3KlJOqon5Yqa24ELgQ+SbCyZlcqc1HvOuunNT8mVtvymntU9X5V/V72hVPVHoJFFQ6eMR+fHO/Kfgf4TnKcW/aCToBCgijhtuS4uIjbXEpYCvq2vdS1gqo+oKp/VNXDJj1W1ZXZlzQ5/xPgQcIs+2XlL+XEKFMb5g4RaQRuAIaAN2UVAgBVLX3v2tpiIUGW/8orrhD6NjBIjcmUErkoOd7oZUfSbtckf76r4qUqI/XUT0uRNSLybOAdBPeADxcYE3NTb+qon+ZhTKy25XVaspx1HLAH+B2wKi9+IUVgL92wO7c6Ob5aRD6deVkvTI73TXrJysNrk+Pvirj2bcnxvyepLLVAofaudcZqw2NF5O0E/8ntwC9VtZi2riVeRljCux3YkfiFngzsA36dd1/QhD8SVjReIiKtfuAUkbMI7kmHrIbkCIt/WF/gMzv3QhE5RlV3VqhM5eZI6KeFZM3fEyZeXwJaROS1QAdB3tyvqusqW8QJcST001KZtDGx2sprG/CVzLk/i8jlidaeWxLf1jcnf97rProL+DZhlvaYiNxHGHheBJwJ/AfBH7bmEJGrgJnALIIv0pkEQXT9Yb53OiGYratWA5omiogsBM4lWE5WVbk4o1JiG74y+fHffxC4TFU3Tm5Jy8aLk2MvwQf0ef5DEVkFvEFVt1a6YOVCVftF5APAp4A1InInYfB/NsGl6UfA26tYxIliyviiAp8d735fSggSySN110+LlDVW71nAnwgTZWNERP4LuDInBq0joZ8WzWSPidV0G/gioWJtBOfu5wGfAzqBe0TklOoVrSxcT5g5362qP7CTiRn+DQTn9ROAKwn+assJDfy1Gn5RrwL+hRAJeyZBKT+vCIF6RXL8/CSWrWok2SNuAaYB16rqjioXaSyKacMhgu/diwiBIs/kgN/TOcCPReSoCpZ5IsxLju8guK28gmCJPBn4ASEw5pvVKVr5UNWbCBPiZsIqxwcJwaSbgJVZd4Kc8f3k+F4RmW0nEwPBde66Z1a0VOWlHvtpMbLG6v1R4P8IesDRBN3gTwTf2GvIB0dCPy2KSoyJVbO8qup1mVO/B94hIruB9xGUuxWVLlc5SKLr3gf8geDr6T97BvBl4NXAOwl+rkOEIK7PAKtE5GJV/Q41hqUvE5FnEZa5rgceFpELVfWhQt8RkVnA31KbgVoTRkSaCKsHZxCiS2s6U0YxbZgoOh/JfHWViJwH/IyQWeOthAjaWqcpOTYQLFePJn+vFpEVhIDLs0Xk9DwvzYrI+4FPEGTIzYQ0Q0sJQTC3iMgyVX1/FYs4Eb4BXEKQmWtE5LsEmfkKgnX5jwQ/ylqd9BdD3fXTIscLq/eTwApV3Zv8fX+SrukhgjL4CVX9SwWLPx6OhH56WCo1JtZiwJYFOZ1V1VKMExF5J2FQXwMsV9X+zCVmEfmwqn5OVXtUdZeq3kOwyE6hxpUCVe1V1TuA8wjLPF8e4/JLgBnUYKDWREle0q8S2vM24JJiHNxrgRLb0L4zTEj/Bvl5P23Gv94pBAAkA6WtirykoqUqIyJyDiHY57uq+l5VXa+qQ4mCsIKQ6uZ9InL8WPepVZK4gNcRLHk9BIPAWwjR0GcSXCQgpBvMK3XbTw8ja6ze9zrF1b73KCFy/2jgxEqUdSIcIf10TCo5Jtaftvp3AAAEfklEQVSi8moNm5dlyRQReTfB6vF7guLaU+AyC8o6xPczeVn7gYXJ5gc1jYbNFNYAzxWR1lEus0Ctz1WmVJUhWQr6OvBGQl7CNyXKXa4osg09tuSXl/dzbXIcLUDCBs/pFSjLZDGWTBkipOxrBF5QyUKVE1UdVtUbVXWZqk5X1RZVfRWh7y4jJMJfPfZdapq676ejyJq6qvcR0E9HpdJjYi0qr6cnx0IRezVLEjDx78AjBMV1tNnVtOR4SOqaxE+kJfmz1pdIjGOT4yFLISJyGmF3ji5VfbCShZpMRGQqISr4YoIV4dIa9lMuhlHbsAAvTY55eT9XESJdFyftluXk5LihYiUqP6PKlMz5vMiUUriUsEPhbTlKqVSII6GfwqGy5sfJ8eTshcl4aGm1NkxusSadeumnBanGmFgV5VVEnusdmt35hRyItM9NQm0RuYbgz/Nb4NzDLI//NDl+KHk5PdcS/JB/UyjPXzUQkaVJEvTs+cYk6fQ84BejOGRboFbdpMdK2uwOws5FXwAuL5SbsJYotQ1F5LRCA6iIvJyQvBpy8n4m7+KthGjmg/x4ReSVhC0NBzg4I0jeMJlyhYi0+w9E5NUE37N9wC8qXbByISItBc69mCB3dxMCfnJLvfTTcYwX9xAmwucn9fRcQ3gePxllFbPmqPd+WohqjYnVCti6GPigiDxA8GkZJDg0v4YwO7mbGg98MUTkMkKH3E8YRK4UyW5UxAZVXZn8/nFCvrtzgT+IyL2EpYQzCP5Mewn7k9cKryLskLGKEP25nbAN3NmE9B89HHANSEle4r8jWHu+VLHSjoNkZ5TXJ3+a4D1dRFYmv29T1auS3z8LXEBIi7IF+EiB9n6wxizNpbbhDYSlvQcJ/loQ9ht/efL7NaqaJ0XovYQgsw8neU9/TUjsv4Lw3r4t53kXbyfkhn4F8LiI3EFo0xMJLgUNwAe1wJ7yOeJHIrKX4JI1SNg3/gLgKcJuVHlZCRiLeuinJckaVf1LMob+kJBl6A7gCUIKrbMIbkpXkB/qop/mYUyslvL6ACFN1AsIbgJHEXxefkaIUvtKXgJfOJDTrYmQEqQQPyGJtFfVLSLyQuADBGX9coIF/MnkmhtU9Q+TWN5SuY9gOT2D4AJwDGFDiS5CW32mQFAawD8Q2vUbOQjUWkbYts9zPAdy8z1BcMKHA+3dyqER+Z4Hy1W4MlBqG36FMGC+mBA5O4WQf/I24GZV/Sk5QlX7EheWqwn1eilhYLkL+KSq5jrnoqo+LSIXELKXvJFQxxkE//m7Ce37wyoWsRzcTqjbJQT/x25C8OD1qrqhiuUqG3XST0seL1T1ZyJyKiGt1vLkO73JfT6mqpvJD/XST2t+TGwYGcmLjhiJRCKRSCQSOdKpxYCtSCQSiUQikUikIFF5jUQikUgkEonkhqi8RiKRSCQSiURyQ1ReI5FIJBKJRCK5ISqvkUgkEolEIpHcEJXXSCQSiUQikUhuiMprJBKJRCKRSCQ3ROU1EolEIpFIJJIbovIaiUQikUgkEskN/w+tbm/ISTPX7QAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 864x291.6 with 36 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(\"x_train : \", x_train.shape)\n",
"print(\"y_train : \", y_train.shape)\n",
"print(\"x_test : \", x_test.shape)\n",
"print(\"y_test : \", y_test.shape)\n",
"\n",
"ooo.plot_images(x_train, y_train, range(12), columns=6, x_size=2, y_size=2)\n",
"ooo.plot_images(x_train, y_train, range(36), columns=12, x_size=1, y_size=1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We will now build a model and train it...\n",
"\n",
"Some models... "
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# A basic model\n",
"#\n",
"def get_model_v1(lx,ly,lz):\n",
" \n",
" model = keras.models.Sequential()\n",
" model.add( keras.layers.Conv2D(96, (3,3), activation='relu', input_shape=(lx,ly,lz)))\n",
" model.add( keras.layers.MaxPooling2D((2, 2)))\n",
" model.add( keras.layers.Dropout(0.2))\n",
"\n",
" model.add( keras.layers.Conv2D(192, (3, 3), activation='relu'))\n",
" model.add( keras.layers.MaxPooling2D((2, 2)))\n",
" model.add( keras.layers.Dropout(0.2))\n",
"\n",
" model.add( keras.layers.Flatten()) \n",
" model.add( keras.layers.Dense(1500, activation='relu'))\n",
" model.add( keras.layers.Dropout(0.5))\n",
"\n",
" model.add( keras.layers.Dense(43, activation='softmax'))\n",
" return model\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 5/ Prepare callbacks \n",
"We will add 2 callbacks : \n",
" - **TensorBoard** \n",
"Training logs, which can be visualised with Tensorboard. \n",
"`#tensorboard --logdir ./run/logs` \n",
" - **Model backup** \n",
" It is possible to save the model each xx epoch or at each improvement. \n",
" The model can be saved completely or partially (weight). \n",
" For full format, we can use HDF5 format."
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total 0\n"
]
}
],
"# To clean old logs and saved model, run this cell\n",
"#\n",
"!/bin/rm -r ./run/logs ./run/models 2>/dev/null\n",
"!/bin/ls -l ./run 2>/dev/null"
"execution_count": 8,
"ooo.mkdir('./run/models')\n",
"ooo.mkdir('./run/logs')\n",
"\n",
"tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)\n",
"\n",
"# ---- Callback ModelCheckpoint - Save best model\n",
"save_dir = \"./run/models/best-model.h5\"\n",
"bestmodel_callback = tf.keras.callbacks.ModelCheckpoint(filepath=save_dir, verbose=0, monitor='accuracy', save_best_only=True)\n",
"\n",
"# ---- Callback ModelCheckpoint - Save model each epochs\n",
"save_dir = \"./run/models/model-{epoch:04d}.h5\"\n",
"savemodel_callback = tf.keras.callbacks.ModelCheckpoint(filepath=save_dir, verbose=0, save_freq=2000*5)"
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 5/ Train the model\n",
"**Get the shape of my data :**"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Images of the dataset have this folowing shape : (24, 24, 1)\n"
]
}
],
"source": [
"(n,lx,ly,lz) = x_train.shape\n",
"print(\"Images of the dataset have this folowing shape : \",(lx,ly,lz))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Get and compile a model, with the data shape :**"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"model = get_model_v1(lx,ly,lz)\n",
"\n",
"# model.summary()\n",
"\n",
"model.compile(optimizer='adam',\n",
" loss='sparse_categorical_crossentropy',\n",
" metrics=['accuracy'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Train it :** \n",
"Note : La courbe d'apprentissage est visible en temps réel avec Tensorboard : \n",
"`#tensorboard --logdir ./run/logs` "
]
},
{
"cell_type": "code",
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"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train on 39209 samples, validate on 200 samples\n",
"Epoch 1/30\n",
"39209/39209 [==============================] - 3s 84us/sample - loss: 0.2976 - accuracy: 0.9164 - val_loss: 0.4333 - val_accuracy: 0.9000\n",
"Epoch 2/30\n",
"39209/39209 [==============================] - 3s 83us/sample - loss: 0.1289 - accuracy: 0.9639 - val_loss: 0.2930 - val_accuracy: 0.9200\n",
"Epoch 3/30\n",
"39209/39209 [==============================] - 3s 82us/sample - loss: 0.0814 - accuracy: 0.9769 - val_loss: 0.3291 - val_accuracy: 0.9150\n",
"Epoch 4/30\n",
"39209/39209 [==============================] - 3s 82us/sample - loss: 0.0630 - accuracy: 0.9812 - val_loss: 0.3031 - val_accuracy: 0.9400\n",
"Epoch 5/30\n",
"39209/39209 [==============================] - 3s 85us/sample - loss: 0.0518 - accuracy: 0.9845 - val_loss: 0.2682 - val_accuracy: 0.9350\n",
"Epoch 6/30\n",
"39209/39209 [==============================] - 3s 83us/sample - loss: 0.0417 - accuracy: 0.9875 - val_loss: 0.2431 - val_accuracy: 0.9650\n",
"Epoch 7/30\n",
"39209/39209 [==============================] - 3s 82us/sample - loss: 0.0337 - accuracy: 0.9898 - val_loss: 0.2901 - val_accuracy: 0.9350\n",
"Epoch 8/30\n",
"39209/39209 [==============================] - 3s 86us/sample - loss: 0.0315 - accuracy: 0.9902 - val_loss: 0.2643 - val_accuracy: 0.9250\n",
"Epoch 9/30\n",
"39209/39209 [==============================] - 3s 79us/sample - loss: 0.0309 - accuracy: 0.9903 - val_loss: 0.2699 - val_accuracy: 0.9300\n",
"Epoch 10/30\n",
"39209/39209 [==============================] - 3s 84us/sample - loss: 0.0306 - accuracy: 0.9908 - val_loss: 0.3480 - val_accuracy: 0.9250\n",
"Epoch 11/30\n",
"39209/39209 [==============================] - 3s 81us/sample - loss: 0.0251 - accuracy: 0.9924 - val_loss: 0.2860 - val_accuracy: 0.9400\n",
"Epoch 12/30\n",
"39209/39209 [==============================] - 3s 80us/sample - loss: 0.0322 - accuracy: 0.9901 - val_loss: 0.2694 - val_accuracy: 0.9350\n",
"Epoch 13/30\n",
"39209/39209 [==============================] - 3s 84us/sample - loss: 0.0201 - accuracy: 0.9939 - val_loss: 0.2960 - val_accuracy: 0.9450\n",
"Epoch 14/30\n",
"39209/39209 [==============================] - 3s 79us/sample - loss: 0.0239 - accuracy: 0.9928 - val_loss: 0.1480 - val_accuracy: 0.9600\n",
"Epoch 15/30\n",
"39209/39209 [==============================] - 3s 82us/sample - loss: 0.0205 - accuracy: 0.9940 - val_loss: 0.1909 - val_accuracy: 0.9400\n",
"Epoch 16/30\n",
"39209/39209 [==============================] - 3s 79us/sample - loss: 0.0251 - accuracy: 0.9923 - val_loss: 0.3184 - val_accuracy: 0.9650\n",
"Epoch 17/30\n",
"39209/39209 [==============================] - 3s 78us/sample - loss: 0.0229 - accuracy: 0.9935 - val_loss: 0.2103 - val_accuracy: 0.9600\n",
"Epoch 18/30\n",
"39209/39209 [==============================] - 3s 78us/sample - loss: 0.0272 - accuracy: 0.9922 - val_loss: 0.2222 - val_accuracy: 0.9550\n",
"Epoch 19/30\n",
"39209/39209 [==============================] - 3s 73us/sample - loss: 0.0209 - accuracy: 0.9937 - val_loss: 0.2140 - val_accuracy: 0.9400\n",
"Epoch 20/30\n",
"39209/39209 [==============================] - 3s 83us/sample - loss: 0.0166 - accuracy: 0.9949 - val_loss: 0.1663 - val_accuracy: 0.9650\n",
"Epoch 21/30\n",
"39209/39209 [==============================] - 3s 79us/sample - loss: 0.0185 - accuracy: 0.9946 - val_loss: 0.3135 - val_accuracy: 0.9450\n",
"Epoch 22/30\n",
"39209/39209 [==============================] - 3s 79us/sample - loss: 0.0199 - accuracy: 0.9948 - val_loss: 0.1356 - val_accuracy: 0.9650\n",
"Epoch 23/30\n",
"39209/39209 [==============================] - 3s 79us/sample - loss: 0.0190 - accuracy: 0.9943 - val_loss: 0.2673 - val_accuracy: 0.9450\n",
"Epoch 24/30\n",
"39209/39209 [==============================] - 3s 83us/sample - loss: 0.0188 - accuracy: 0.9952 - val_loss: 0.3138 - val_accuracy: 0.9500\n",
"Epoch 25/30\n",
"39209/39209 [==============================] - 3s 80us/sample - loss: 0.0195 - accuracy: 0.9942 - val_loss: 0.2384 - val_accuracy: 0.9550\n",
"Epoch 26/30\n",
"39209/39209 [==============================] - 3s 80us/sample - loss: 0.0194 - accuracy: 0.9946 - val_loss: 0.2459 - val_accuracy: 0.9550\n",
"Epoch 27/30\n",
"39209/39209 [==============================] - 3s 80us/sample - loss: 0.0159 - accuracy: 0.9951 - val_loss: 0.2153 - val_accuracy: 0.9600\n",
"Epoch 28/30\n",
"39209/39209 [==============================] - 3s 78us/sample - loss: 0.0220 - accuracy: 0.9936 - val_loss: 0.1421 - val_accuracy: 0.9800\n",
"Epoch 29/30\n",
"39209/39209 [==============================] - 3s 83us/sample - loss: 0.0128 - accuracy: 0.9958 - val_loss: 0.3268 - val_accuracy: 0.9500\n",
"Epoch 30/30\n",
"39209/39209 [==============================] - 3s 73us/sample - loss: 0.0222 - accuracy: 0.9942 - val_loss: 0.2305 - val_accuracy: 0.9500\n",
"CPU times: user 5min 16s, sys: 20.9 s, total: 5min 37s\n",
"Wall time: 1min 35s\n"
]
}
],
"source": [
"%%time\n",
"\n",
"batch_size = 64\n",
"epochs = 30\n",
"# ---- Shuffle train data\n",
"x_train,y_train=ooo.shuffle_np_dataset(x_train,y_train)\n",
"\n",
"# ---- Train\n",
"# Note: To be faster in our example, we can take only 2000 values\n",
"history = model.fit( x_train, y_train,\n",
" batch_size=batch_size,\n",
" epochs=epochs,\n",
" verbose=1,\n",
" validation_data=(x_test[:200], y_test[:200]),\n",
" callbacks=[tensorboard_callback, bestmodel_callback, savemodel_callback] )\n",
"\n",
"model.save('./run/models/last-model.h5')"
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Evaluate it :**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"max_val_accuracy = max(history.history[\"val_accuracy\"])\n",
"print(\"Max validation accuracy is : {:.4f}\".format(max_val_accuracy))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"score = model.evaluate(x_test, y_test, verbose=0)\n",
"\n",
"print('Test loss : {:5.4f}'.format(score[0]))\n",
"print('Test accuracy : {:5.4f}'.format(score[1]))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 6/ History\n",
"The return of model.fit() returns us the learning history"
]
},
{
"cell_type": "code",
{
"cell_type": "markdown",
"metadata": {},
"source": [
"outputs": [],
"source": [
"reload(ooo)\n",
"y_pred = model.predict_classes(x_test)\n",
"conf_mat = confusion_matrix(y_test,y_pred, normalize=\"true\", labels=range(43))\n",
"\n",
"ooo.plot_confusion_matrix(conf_mat)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 8/ Restore and evaluate\n",
"### 8.1/ List saved models :"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
{
"cell_type": "markdown",
"metadata": {},
"source": [
]
},
{
"cell_type": "code",
"loaded_model = tf.keras.models.load_model('./run/models/best-model.h5')\n",
"print(\"Loaded.\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"score = loaded_model.evaluate(x_test, y_test, verbose=0)\n",
"\n",
"print('Test loss : {:5.4f}'.format(score[0]))\n",
"print('Test accuracy : {:5.4f}'.format(score[1]))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"x,y = x_test[i], y_test[i]\n",
"\n",
"# ---- Do prediction\n",
"#\n",
"predictions = loaded_model.predict( np.array([x]) )\n",
"\n",
"# ---- A prediction is just the output layer\n",
"#\n",
"print(\"\\nOutput layer from model is (x100) :\\n\")\n",
"with np.printoptions(precision=2, suppress=True, linewidth=95):\n",
"\n",
"# ---- Graphic visualisation\n",
"#\n",
"print(\"\\nGraphically :\\n\")\n",
"plt.figure(figsize=(12,2))\n",
"plt.bar(range(43), predictions[0], align='center', alpha=0.5)\n",
"plt.ylabel('Probability')\n",
"plt.ylim((0,1))\n",
"plt.xlabel('Class')\n",
"plt.show()\n",
"\n",
"# ---- Predict class\n",
"#\n",
"p = np.argmax(predictions)\n",
"\n",
"# ---- Show result\n",
"#\n",
"print(\"\\nPrediction on the left, real stuff on the right :\\n\")\n",
"ooo.plot_images([x,x_meta[y]], [p,y], range(2), columns=3, x_size=3, y_size=2)\n",
"\n",
"if p==y:\n",
" print(\"YEEES ! that's right!\")\n",
"else:\n",
" print(\"oups, that's wrong ;-(\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n",
{
"cell_type": "code",
"execution_count": 2,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/bin/sh: 1: kill: Usage: kill [-s sigspec | -signum | -sigspec] [pid | job]... or\n",
"kill -l [exitstatus]\n"
]
}
],
"!kill $(ps ax | grep 'tensorboard --host 0.0.0.0 --port 18529' | grep -v grep | awk '{print $1}')"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The tensorboard extension is already loaded. To reload it, use:\n",
" %reload_ext tensorboard\n"
]
}
],
]
},
{
"cell_type": "code",
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"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Reusing TensorBoard on port 18529 (pid 52695), started 0:05:41 ago. (Use '!kill 52695' to kill it.)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
" <iframe id=\"tensorboard-frame-e6c9e33cfad3b727\" width=\"100%\" height=\"800\" frameborder=\"0\">\n",
" </iframe>\n",
" <script>\n",
" (function() {\n",
" const frame = document.getElementById(\"tensorboard-frame-e6c9e33cfad3b727\");\n",
" const url = new URL(\"/\", window.location);\n",
" url.port = 18529;\n",
" frame.src = url;\n",
" })();\n",
" </script>\n",
" "
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"%tensorboard --host 0.0.0.0 --port 18529 --logdir ./run/logs"
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.5"
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"nbformat": 4,
"nbformat_minor": 4
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