theref/MachineLearning.ipynb

## MachineLearning.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notebook for training and assessing model\n",
    "\n",
    "- various samples for Liner Regression and SVC\n",
    "- confusion matrix\n",
    "- Network graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import axelrod as axl\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import networkx as nx\n",
    "from MachineLearning import *\n",
    "import plotly\n",
    "import plotly.plotly as py\n",
    "from plotly.graph_objs import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[0.53333903273082561, 0.93595017098192479],\n",
       " [0.32773330891107244, 0.55690203620600176],\n",
       " [0.79935026868588177, 0.96926722032242307]]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "axelrod_strategies = axl.strategies\n",
    "training_df = pd.read_csv('large_training_data.csv', index_col=0)\n",
    "compute_sample_scores(3, 3, training_df, axelrod_strategies)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# this takes a long time\n",
    "# sample_scores = [compute_sample_scores(i, 50, training_df, axelrod_strategies) for i in tqdm.trange(50)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "zipped_scores = [list(zip(*k)) for k in sample_scores[2:]]\n",
    "LR_sample_scores = [[0], [0]] + [i[0] for i in zipped_scores]\n",
    "SVC_sample_scores = [[0], [0]] + [i[1] for i in zipped_scores]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ca68cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ScH2pTs/EjdvtmcdCkQW21wvYqBqRAgghBM6eKqFcUPHMjUZ6bQ4BVEsaLmyX\nYi1E7/Fa03nHTgiB55yvZVIx9B9/11uDxYFlu+3+HIyva+S9BnmwthGQTjDj9/082m4wi3VnRnmt\nKOutHp6+Nl4hVCmquHi6kkpoOSrod5LbjS7EjPuPWxAWRWCVVLu/sG3Oo/puEZb5PCEiIiKifDBI\nIyKioet7rWG4FBQIHLbcK9CDKga8SbW1sobajIloT9+08ez19Fr1mJaDZ643Zi4Mblo2rt/OpqIC\nAK7stnCvz/iO4+Dyzeza/pmmg+u329jZHF+w+uZ+dts6Of5+vTeszmrnGGZ1e5YbKg0qd6plHTcz\nPMajRisgk1Z+RKGr0lgIsl7RcwkuhcBUyCQJgYunK6iWNFy62ZjbYi+KUkHBhe3ycH2yWSQhcGG7\nDElgLJwPS5KAO8+Eq2qVJDfo2qgYuLLbRKMVvhJsFiGAzZqB0xvFWFU2hqbg4ukKNqoGnrxyCNse\nPxZFQ8FdZ6uJgo5KUcN3XFzH1UFFVpK2kooisLMZLjAM68bgve84Dg6bvVDfRfG5QZksuSsbTW5H\ntmsbHZEkgfWyDoj8xqwUNdx9rjr8d0GXcde56tzKxjSt4hosq7jNRERERESLxiCNiCiEPKuzFqXb\ns3B192gR+595uX/1lXeVfdD9t+tuFUSr00e1pM29evnyrUbqLfjqrT52DzrDQGeS24oru7Z/jVYf\njXZ/qv3RYbOXzTpOI3YP2ji9XhibgF9UdVZaa8CF5daDuOfb2Y0imu3+cN29rGyvF1AZCZUNTUGt\nrGXaRvNo7PH1cjaq7vpVWZ9jW2uFwHZta2Ud5YKKa3st3DroJAtYZIFzmyWsV/TIVRA7W2VoqozL\nt5qhX4OqSLjrbCXyOotFQ8G9OzUctnq4ttuKf84JYKOi4/SGfzvJqMoFFXeeqeDJK4fD21RVwt3n\nqqm0wZMkgZ3NEjYqOp690Yi13Zs1A2dOxQsMPdPfzw5M66g669cf+crY+omepN/PXF/IVTRUyJKA\nZTvY2SpnFqIdp23OyypuMxERERHRcZXlisxERCfC7XoXlm37/mev3sFevRN4f9aT+GlKu2qp27fn\nrpl02Ophv55N4OCukTVdVWc7DnYPs29z6Nda7laCdnNh2bbb5nCUnNHaMX5GJ8R1NcdxFTE2WS5J\nAnefq6JSzG4tlzOnijg3Uf0HuOtIpd3WbFKtrE0FxZIQuPNMFbKcXTVIuaDizKnizJ9RZAnnt8p4\n3oW12BUxLt7nAAAgAElEQVR6mzUDz79jHRtVI3Yrsa21Au44XQn1s6oi4d7ztcgh2qhqUcNzL6zh\nrrOVyOd+razh+RfXcPF0JdV1j6olDdvrheG/7zxTSX0tqYKu4Dnnazi7WUTYQ6Wp7v4+v13OYG0r\nd72sjYqBjYrhG6JRuiThrlO2SmtnrSonydURRERERERLjBVpRERzXN1t4g0Ba2N51VlB9986aOOi\nEW4iN0icarioVzGblhsKpu3mfmdmS62rt5qpj+mxLP82h412P9W2c0EOml3YdnnYatCybdTb6bR+\nmzt2o4vttaPJ87WylluoO9oSr6ArUBUJfTP7dbv8Wo0qslt9c22v5bbyTOmwK/JRG0M/qiLj7nNV\nfOvyAayUqy0BtwLq4umy73265o79xOXpln5JFXQZd56thK448QKWWwcdXN1tjq0lGERXJVw4XUlt\nQn69oqPTM3F9b8aFAgKD8CudAKtW1lEpabi538a13dbMykxNlXB+uxzYKjcNZ04VB+t0SSglCApn\nEULg9HoRlYKKb1+rz1w7rVrScPF0egEaq3YWTwgBSTBgOSkC16Ord+DMuJ/vRSIiIiI6yXiJJhHR\nDJ2eid6MCcF5Dls9ODH7293Yb+PyrWasSrjLt5o4mFMNNup2vRtqkjuqRrsfuE5WXm0OJ6vS6imt\nYzSPbQONztFY7a6VWpAzT7trjp13p2oG1Byqw9YrOgr60TU6QghsjVTDZEa41Ue+dwmBs6dKuHen\nlso+qBRVPO/i2tw1tAq6gnvO1VKvDisVFNx9rjqzyqZkqLhnJ93KtKKh4J6dWuTwQwiBrbUCnnN+\nbW6V1lpFw3MvrqVe1XJ6ozizMu7sRjFRJZofaRAsPffCWuB5Vytr7rmUYYjmvRZJuOt4Za1oqHju\n+Rp0zT+UPFUzcNfZ9KviaPGkHM4vWqz1ipHqWoZERERERMuEFWlERDPMa004j2k6aHfNyJO0jXYf\nV2661Vp+1W7zKuFu3m7j9mEH5TvXQ7W12suw1eFevYsdffrrJo/2irYN7De62KwdhSy5rhfWNYeT\n5HlUZXlsG7BsB8ogSJElCXecruBblw8yC/M0VcLO1nSbw82au25Xt5ddaLpZM8YCPD/lgornXVjD\npZuNWO1EhQDObpawVQvfatBbO+vJK4epHP9KScVdZ6qhJqxLhop7d2p44spB4grMclHFXWcriVrk\nFXQFz7mwhicuH/gG6FtrBna2/Kvs4hqvmnDQH1QHemtnPfKFxyEEoExsV5pVFQVdwXN2avj/Lh2M\n3V4ra7jzTCV228qohEDototJqYqMe3eq+Maz+2O318oazm+VcttmyheP6snByjIiIiIiomm8HJSI\naIbDZvLqpcMYFVBXd5O3PDQtBzduz1/3rN01M60M2693p6rybMdBvZXN2miTJivzejkGWnmGZ/OU\nCyrO+wRdaZBlgbvOVn2rTCQh3DaEGc2y6qqEs3PW7PIosoQ7z1Td/RDh9XjrZ22vFSKHAF57w6Tr\nxa1XdNx1NlyINjb2TnBFVBi1sja3Ai4st9VmbWr9uLWKlnqINk1AlSWoI2tnqbI0FaJlQVNlXBhp\nxakqEi6eLucaKDmOM7PFZNpURcaFkWOqyAIXtvPdZsobjy0REREREZ1crEgjIgpgWvZYa764Dps9\nnNkIN9EPuMFPs51O1dTN/TY2a4WpievJ8bLUN200O+ZYu7ZO18qklaSf9uTaYDnOJo8OpeXQWtEj\nScI31NqsFWBZDq7utlIcC7jrbHVmRVjJUHFuszSsskyLEMAdZ6KHPJtrBWiajKeuHs49Dw1Nxj07\nVahK/PWzNFXGvefX8OQV/2qseTaqeuwQQtdkPGenhicuH6AbsU3tekVPPfBRFQkXtscDlvMZhWjH\nqaqiWtQghIDjODhVM1IJJqNwHPcChjzVyvpwm7fWC2znSEREREREREuLf9ESEQVotPuptMFrdcyp\ndbpmuZZCNZrHtoEbt2eHJknbV4YxOUbPzHZttFGm5cAaSUvyXMdldKyCpuTWWq00Yz2o0xvF1NYt\nEwK482w11JpW22uF1NdWubBdnrn21SzVooa7zlZnHhNdlXDPTi1RiOZRFfe5jIC1o4IkCdE8bpBX\nixTmrlW0zKqmqiVt+Lxba6sTsHgfB2mvAReGM/yvfHnbvF7mukpERERERES0vFiRRkQUIM2Aqd7q\nhwoRDpq91Nss7h52cHqj6DtZbVo2WpMVWxnw1iTy2Ha+M7q2DXibr6lypq0sR2kjlYCSJFAtaTho\nZB9c1srazPt3NkuwLBt7h91E49xxpjJcAy6MC9tldPtWKufc9noBG1Uj0XNUihrObZZw2adSzgsJ\nZ1VzRqXIEu7ZqeKblw7QD1EdVitrqbXDUxUZ95yr4ZuX9mFZs99/5aKKi6ezXb9LFgKm46Qerh5v\nAoAz9rmQtvF14Y7UWz2IGfdnVb0nCQEbDjQ1eRhNREREREREtCircQkwEVEM9Xbyto7D5wq5HtjN\nEGuaRWXbwK2Dju99eYRoANDqmmPhmZxjVdjkeLNaEKatMFEtdSph8BOGJAmshaj+uLBdRrUUPgSb\ntLNVCjXOKEkSuOtsBYqS7PhXSmroddHm2awZvlVt2+uFTM4VVZFx15nZlXAAUNBl3JFymKVrMu48\nU5n9+lQJd56pQMq4fFJIbqy0SgGLt0vzrIr1rJd1nKqlU4kahRDgumhERERERES09FiRRkTko9Mz\nQ1WMhFVvzQ/l2l1zqnIrLbsHHWyvF6Ymx9vdfII0OO4+LRpuS7M8J88VRYxNXOfVVk2SxFQQUy1p\nKOjZVsRtrRmhWuUJIXDHmTK++cx+5LWzNqo6ttbiTcqriow7z1TxrcsHsVrN6aqUasAkhMDp9QK+\nfbU+vE2SEHv7wigaCs7OWDNOCODi6UomgUulqGFrvRAY2t9xupJLq0UBwYAlA7Mqy7a2Krh5sx54\nfzbcKjwiIiIiIiKiZcaKNCIiH40QwVcUfdNGpzc7tNo79K8aS2v8uk+rym4/v7XKOr2jsXRNhpTT\nN9BkmFUyFChy9hP41ZLqW9Wzs1XObExFEZECIFmScMeZqjvXHZKuSjifcBvKBRXnNkuRH+e1W0w7\n6KmUNMgj50S1pGUeJm3VDBR0/0B5ay2bajjP2Y2ib8vKjaqe6/pdq5qjLaIijYiIiIiIiIjiY5BG\nROQjzbaOnlnhnOM4uN1Itl7VPH7P3zPTq7qbpz8yliQESjlN2Fcm1vASIlzrw6TWA8YoF9TM1oXa\n2SxHDoCKhoLNWviWkztb5VSCgO21AirFaOfA2c1SJgGTJARKxtFrySNMEkLgzMZ0e0pJEthez7YF\nnyS5VXjjLwg47fN6siSiJLgnSNZtM4mIiIiIiIgoXQzSiIh8NLMI0jrBz9nsmDDNbNtfHTb7sJ3x\nMSwrvyDNtMfHXitlH2a540yvA7aR8VpliiJQmbH+2M5WKfE6YZOqJS12QHd6vRCqOqhoKInWVZt0\nYTt8KFcqKNiKEPhFNVodVsxpHb1qSZuqDFuv6Lm0Vlyv6mP7vlbSoOe9XtmK5UkCK7fJRERERERE\nRCcCgzQiogmdngnTSj/UaraDWzvWW9NtF9Nm2w5aHXPqtrw4k0FaRcu8vWO5oPqux1Y0FBSN7MKS\nU1VjZtWJIku4kGKLR0UWuLAdvVWiR1XkUAHZqZQDSE2VcXojXPXV+a1ypmtqGdrR+ZDXGn5CCNTK\n4/t98t9ZkSUJtZFjnkeV5soTWN1+lkRERERERERLLJ9LronoRHnw4cd8bp0MZKYnCz/4lvsyeT1p\nmxV4JdE3bXT7lm/VR7OTzZhT47T7ua6BNIssSVgr69g7zK6l5akZFUxbawU8fa2e+phCIFSrxFpZ\nx6laH7sHydfGO79dhqokC39qJQ0HjdmBbhYhz1atgFv7nbHWn5PWK3qma4YBGKsMy6MizFMZeT8K\nkU9byeHYI601o7bZTIPj5BfkHwcCAmLqu3IFMDskIiIiIiKiJceKNCJKgYOeaWOv3sVevYt+BtVc\neWrOaMGY1GRFmKfdzSdIa02Mk8ZaV2H5FWJsrWW3FpSqSlibEfzUytNt9dKwVtZDh1o7myXoarLX\nsFHVU6kmmhfg6JqcScAkSQJba7ODx6zXDAPcqj4g/zn/0cpIQ5NzXT/LG1sg3/DQs2I5GoDVLEhb\nwU1eUSv4hiYiIiIiopXBijQiimyysqzbs/D1p2/jD//i6wCAN/34d+K77tpYxEtLRZahVqvTn1rH\nyrRsWDmFj72+NfZvWZIAWP4/nDK/ifqCrqBSUlFvph9ebq0VZrYClITA5pqBq7daqY4bJfSRJIE7\nzlTwzUsHseYgNVXCzlb8lo7jzyVDkkRgu8/RNcTStlE1cHW35RuslAtq5tVoACB7oXLOSYeqyBBw\nD/9oe8k8eNWxWbbMDLaak+6L2ddE2VvNdzQREREREa0KVqQRUWLWxMT75L+XiW07aPeyC5YmK8IA\noNcPbmmXtt5E+7wsKrKCBI21nUFVmiwLnKrOr9I6VTVSrcorF6OHPkVDxemYFVcXT1cGYWg6ZlXH\n+bUkTYsiS4FrtE0Gz1nxzoOFxByDcEVLWJ0YfVixsGW7HKxea0eA1Vl0cq3g25mIiIiIiFYIgzQi\nSsyyx8MZ23aWdoK00zMzvay63bWm9o1p5RekWZYDe2T8PCfutYAgplLUxtrbpWGzZoQKmBRZwkaI\nwC2suK0qT28UI1d8ba0Zqa+nFXSMAEBLuAbbPLWAIC2Lddn85NlScZI3cp7B9nBs4a7clTfHWdEK\nlhVM0liFtxqW9fc+IiIiIiKiMNjakYgS82sFZ9nOcM2hZdLuZtvm0Lbd9eRGq3vyruCzbQfS4Njk\n2UrO0IKDmK21Ap6+Vk9lHCHcIC2szZqBW/udxONqqoRqMV6wJQmBC9tlfPPZg9BjnT2VTkvH8eed\nEaRlHLpWfPZdQc9mXTY/C53sH/R2VBewTtlw/AUxLXsh67MtyvJ9KxIdefDhx3xvv13vwJlx/2RL\ncCIiIiIiomWzOjMXRJQZvyAorzW/0tbpZbc+2tEY+axJFmT0ovEs170apSrSzMnyWllLrRpnraxD\njVA9ZWgKyjEDsFGnakaiMKZoqKEDwJ3NUqotKT3GjCBtVhCaBlWRp8K6kpFuxd1x5R1JeQGBkhCL\nCXe86pVl/a6Ib/WitNXb4tWzXjGwUQl/AQsREREREdGyYUUaESVmBlSkLaNOP/uQq9szgYA2dnnT\nVRmSJHyrCtM0r3WjJAQ2qjqu77UTj3UqQjXa8DFVA41WP/6gAqlMIp45VcRevTvzeJSLKmrlbNYN\nMwKCVVkWkcLJuCbXl4u63tzyckvSFlaRtkDL+l1BETBJOzFYWUZERERERKtqVWaoiChDls8aX6ad\nzbpfQW2DZoky8dPLoVpssiItg8KimUaXDhNCoFRQUG8mCJFCKIVYA22jYiQO0jRVirVuWK2kJQoU\nq8V0KuoUWcL2egHXdluBP3PuVDHxOEEKmjJsMzh2e06B1mTVW1CwlxUx/K98eYWM8kLa4S6oJG3A\nWc2V0oiIiIiIiIhoiazepc9ElDq/1lxZtOtqtPuwbHvqP3v1DvbqHd/7LNtGL2SVmeM46JrZBICj\nehNjZNGibxZpov1gnOApqjBj6JqcuNXkWsxKLUkSWCvHrxJcr6RXIbZZMwLPiUpRRTHDdoeSJFD0\nCc3CBKFp0CdaS07+Ow+LLJ5ZxFphi2rtOByf5UonHo8wERERERERLTtWpBFRYr5rpGVQkbZ32MEb\nXvb8qdv/8C++DgC+9wFuALcRYkK+b9pTlThZmAz2ZCm/yXNZFlPreFUKKq5mPGbYiqZqSUO7G78q\nrZqgZWatrGPvsBv5cUIA1VJ64ZYiSzhV1XFzvzN139ZaIbVxgpQKKlqd8bUCK8V8WpFqI+9TSVpA\nsJRgjbukwy42bFjc6Dl+/BERERERERERxcLpCyJKzK+NYxbr3jQnJvfTftxkpVhW+hPjqEp+k9iK\nT6VTQVegZNhSrlJUp8K7IEmq44SYvxbbLJWiGmtSv1xUUw9DN6rT662pqoRKMfvqwckxJCnZfo1i\ndI2wVVovzG0puVp1O95nwiKq8Chvq3VuExERERER0cnD2QsiSsyvjaOZcmtH07LRjbl+WasTbv2v\nyYArK47jbo9HznEiWVWmK/OEEJlWHFUjPHeSwKagK1NtK6OQYu6HWgb7rqArU20u18t66EAyiXJh\nPFAsF7RE+zWK0XXm/M7VrImR/8575EVFDYuOOOS8F4kkIiIiIiIiIoqIQRoRJWZZPhVpPrcl0e7G\nq0YDgHbPgu3MD/bMlF/zLKOhnSTEWICQpaBxkrREnCdKOCVLUux9YWjJg5dKjIq4rELI2sR6b0nW\ncItCEgKlkf2QRxXccOyRUEXOsEpylkUVhq1YQRqE959V23AiIiIiIiIiWjoM0ogoMdN3jbR0K9Ja\nCYI0OOGCuDyDtMmx8grSNNV/nEpRzaQ0pWgokbct6DXOf1zyIK0cMTRSVQl6CgGen9EAK8o6c+mM\nrY38//yCNODoNFxEy7+VzHQWWQq3kjuciIiIiIiIiJYNgzQiSsRxnIDWjumGUq2Y66N52iEe77cd\nWZkMGvUUQqAwtIB2eYosoWykH5jEqXSLG6D4rf8WlaEpUCKsWZfFPvOMBmclI/w6c2koD1psCrj7\nJFfDtbMWVJG2kFFXrzJLLLCdJRERERERERFRFAzSiCiRoLXQ0l4jLUlrRyBcRVvaVXQzx5rYP3Gr\nsKKaNU61lEGQFqPtYdz1uKSU1loqRQjHSoXsQiZJiGG4kmTtuDiMQYi3iHDHG3ERa2cJiIUlaau4\nRtqKZYdEREREREREtKQYpBFRIkGVZ2mukWZaNnr9ZM8XJojLNUhzFlORNmuctNdJUxUpVgAUd3I9\nrdCnFOE1Rwnd4vA2KY3136LwQrxFBh2LaO24wBxtsYkWEREREREREREFYpBGRIkEhU+m5cBx0gmm\nklajAUC7Z8GeE5TNuz9Nk2Olsb7XPJI0ey02Q1NSrYzLe22ttBRDhmOSJDIPuLxsJa+gdXLshbQb\nHAy5iIq0sRdAmWNzRyIiIiIiIiJaBgzSiCiRWWuhpVXhlUaQBgfo9GY/j51S8BfGZJCWR8WRrspz\ng5E4rRgDnytmhVvcw5BWEFrUlVBZSlFXMg+avOefFYBmN/ZiIqVha8dFVKQt0EpGSiu50URERERE\nRES0bFZrloqIUmeawUFaf8Z9UbS7Vi7Pk1YFXRiTYymyBEXJdlbZ0Oa3LEytikwA5UK854obwKYV\nhEqSQCFEsFnIYd0y74xYRJtDsagkbSDuWnlJMNchIiIiIiIiIqJJDNKIKJH+jIq0WdVqUaRSkRbi\neXLM0eA3VJigK4kwVW+lgppKmlDUldjhT9zKsjRbcxb0+ceiGOJn0rDIcGcRrfe8MWU5/7Fz/Agg\n5PuZS0REREREREQUF4M0IkrEtIJnQmfdF5btOOj0U6pIm9PaMc85Xb8J5KzbO4Z5fkWWUgmIklS2\nWXa8ADatVqJAuJAslyBtgSnawoZe+BpplB8maURERERERER0/DFII6JEZlWdzapWC6vTtVKba+30\n5gRyCy6PKGRdkRYy+CnFbMmY1nMci4q0OW0bJUlAz2Fdu4VacI4lLSxIW61wZ7W2loiIiIiIiIgo\nOgZpRJTIrHXQZq2fFlZnThVZFJbloJdSdVsWwrQTjEuWBXQ1XPATd22zIQGUEqwfFjcPS7MiraAp\nM4OkvNo6AgAWsFYYsPAcbSFrpFG+2NqRiIiIiIiIiJZBjjOBRHQSzapIS2ONtLlVZDGeTwsKlBY8\ncW/oMoTIZnI5SkiXJAQDgIImQ5biX6dhx9wBToq1NZIkYKhy4PlX0E94NdoCLfJd6DgOnFUL8Bxk\nutMffPgx39tv1ztwZtz/wbfcl92LWiimh0RERERERETLhhVpRJTIrIq0WfeFlXqQNqMiLc/pc7+5\nekmIzNZJixKkKbIETY3/9ZC0si5ukJh2ADlrO4pG8vaXoS2sbGdxgdJCo6wF7e5FHeVFjbteMbBe\n0Rc0+uIwRiMiIiIiIiJaPqxII6LYTMueOcefTpCWXmtHAOh0g58vz0KUoKGKhop2N/32k1GrzAq6\ngl6/F2usYsKKtuOiYCi4Xe/63pdV4ElYfE9JStXJrSwjIiIiIiIiolVxMmY7iWgh5gVl/YStHW3H\nQa+fPIwb1Z1VkZZrkuY/VslQsHuQ/nBR1/Qq6goOGvGCtKQVaZIA4hz1tNfUCtpnkpRjkMbylUwE\ntRM8bPZm3p9pKLTQY80TLS9cF46IiIiIiIho+TBII6LY5gVlluXAth1IUryAo5tyW8d5z5lnjha0\nS7Ko5lIVKXhduABJgqKkIZMkCcCKPtsc9zwLErQdhqbkFro6YMSRp/WKsbCxF3acHcBhFSARERER\nERERUSAGaUQUmxmidWPftKHHDFZmVY/FZVoOTMuGIk+vAZZnRVpQ9ZShKVBkATNGkBQkTjhnaPG+\nHlRVgiwlW35TkaVYlYiKnO7x89aKm3wtSSvu4rBsO/F+XSoZvxfZbvCIAweC/TRz47AkjYiIiIiI\niGjprNCsHBGlrRcmSEvQ3jGLIA0AegHPm3ZrwFlmDVU01FTHKhWiP5+mSrGyDCNi5ZsfVYn31aT6\nhKNJ+YVmBT3/9dGsFINVOp4WGrDw9CIiIiIiIiIiCsQgjYhiCwqkov5MkCxaOwJAN6DaKc+Cn1lt\nCEuFdCueyjEq0oQQ0GIEWnoKQVqccQFEbl8Zhn+Qll9FmheupFmhSDSJZ1d+WJBGREREREREtHzY\n2pGIYuuHbO0YV5iKtziCKt3yrEibNVYpxYo0SQKMmMGPpsmBoWPgY9TkaWTctpJxW4jOUvB5zqRr\nwMVhJqjspOWwqIDFcfJdH3IVPPjwY7633653Zt7PlqNERERERERExxODNCKKLUzQlSQMS1LNFud5\nZ1WJpU2eMVbRUCBEOhPrRUONHRBqigygH+0xKVSFxWmdKMsilWq4SZOhnp7CGnBReOcAgzTKFKuk\ncrFeMRb9EoiIiIiIiIgoBgZpRBRb3wzR2jHEz/hxHCezirSg550VbqVNzBhLEgJFQ0GzbSYepxSj\nraMnTovFuG0ZRxl69CCxmFG7RU2Vxlp+xq3uSyrJWoO0DJyFZVnOQkc/mVhZRkRERERERHSycI00\nIorFtGzYIeb2exFbA3r6pp1ZlcRxqEhT5oxVTKm9Y5I2kWqMUCzOYyZ5QWIUpUJ67TBHCTFe6ZZF\n1dss3lsgSYtUOv4YYxERERERERERHV8M0ogolrBtF8NUrfk+f4bBQd+04fiUO+VZkTavPWCSSrJR\nUQOpUUqMUEyW0/laKUcMxqL+fBSj7R3zXh/NO08ZpK2ARS6SRkREREREREREgRikEVEs3ZCVZrYd\nLwTIMjhwHP81p/Jc+2pe9VsaQZquyVASBFtKxP2hyCL2emyTKkUt9M9KUvQKtij0kfBMzzFIs0ZK\nPhmknXDMsoiIiIiIiIiIji0GaUQUS5S1z+KskxZ3bbXwz+8TpMk5VqTNGUtV5MRtEpOuG6Yq0fZH\nWtVogFtJF/Z4VIpqagGen0W1dhwNz1ZujTRWSeWKe5uyxTOMiIiIiIiIlhuDNCKKpduLEKTFWCct\n6wocv+ePWoEVlxyycitplVXSx0et0FNSDCIlIVAphmvXGPbn4tLUo/2QpMIvqtFz1GRF2om30KiB\nOQcRERERERERUSAGaUQUS5Q1zLoh11MblXWQ5vf60wyCZlFCrsWWtKIsaZAmSQJRCr3Sbo1ZDdne\nsVYK3wYyDm1QGSgyrHrzY1pH6UZQO1IiouOOOS0REREREREtOwZpRBRLlHAsSvWaJ+sgza/CR0nY\nSjGssC0QC0mCNAEUtOTrhkVpdymHDAjDCrNOWkGXoSrZtlv0qtDyjdGmgzMGaSdb3ufX8RmcTjwm\naURERERERLTkGKQRUWS246AfoV1jrIq0jEMDv6BOEiKXddLCrn2WJEjTVRlSCsGWHKEKK+0gTVWk\nuVV11Yyr0QC3Ek0Akarz0jAdpHE2moiIiIiIiIiIKG/JyxWIaOX0IgZjUX8eyH5NqKDqHkWWYFnR\nX28UYdfZUhUJiiJgmtEDlKRtIT1Rwrg0grtJlaKKVseccX/2QRqAQYqWb5Jm2ePH3bbzDtIcLKRU\n6QTnhQ8+/Jjv7fuNLpwZ93/wLfdl+KpYkEbZOsFvaSIiIiIiIloRrEgjosiitmo0LSdSWzrTsuFk\nPPMW1DoybLVYElqEMeK2ZzT0dNodRln3LJsgLTgokySBUsJ14MJaREXaZHA2GazRybFeMbBRMRb9\nMoiywY8uIiIiIiIiWnKsSCOiyOK0auz1rdCVWFmvjwYEV6SpIV9jElHCOkNXUG/1I4+RaH21ESLC\n7sgiSCsaCiQJsH0OV7mgQuSdbuVoMkx2sk6XJ8cHK5XSlnVlWSwn+D1Ex4PDJI2IiIiIiIiWHIM0\nIoqsE7EizXtM0VBD/WyU6rW4TMuB4zhTQYym5lCRpoavFovbojFuJdskKcIkewY5GiQhUDJU3zCx\nVOBX2EnFaff0BbWNrLd6M+8/luEfEREREREREVGOOAtJtMSCJj5nSWNSNE5FWpTHmFY+0+im5UBV\nJoI0JZ2WiLNEqkjTor8eRRaptaiUo6yRllFlS9Hwr8orhQxmUyFWsDqLS6SthLWyvnrnNhERERER\nERFRBAzSiJbQE1cO0Ovb6PtUbnnVBUFrS3396dtYK2s4e6oUe/yoa6QB0arY8qhI88aZDJz0GMFV\nJCLaGmm6JkOI6TZ/s6TV1hFApNaJWbR2BDCoZGyP3yjiV+vFsYigYXLX593Gkq0dTxZWllGWgi7s\nuV3vwJlxP89LIiIiIiIiWgYM0oiWULNtwrYdvPHlz5+67w//4usA4Hsf4IZgra4Ze2zTsmNVjEUJ\n3z1/LQkAACAASURBVPIM0ibpGbd21BUpWjglBAxNRrsbfv8ZKQZMUbKxzCrS9OlwU1flzIK742Ky\nGjBKdeBJ4Nd6lYiWy3rFWPRLICIiIiIiIkqMQRrRkjEtG7adrPlZvx8/qIqzPhrgtnYMOzFu5dTa\n0fLZj4osQZIAO6MsT4tR8VbQlUhBWpqVWlHCqqwyD1WRIcvjT17wCdeWmV+1hu04aLTdlpaf+uLj\nkCQBMVEjln01x+IaLbIijmh5sLKMiIiIiIiITrJsSy+IKHV9M3nC00vwHHHaOgJua8JeyADPL+DK\ngl9FmhACuppdSGPEeO6owViaIVOUKrMsK8Qm14rL8hgdF5IQ2KgY2KgYkCVpKkTLA9crIyIiIiIi\nIiKiVceKNKIlkyQE89i2A9OyocjRs/ROL35byE7PDLUGWV6tHYMq3wwtWgVYFIYW/WO3YIR/jCSl\nGzKJCOFYVq0dgeltirMfk8g6UDqO1RxsrUhERERERERERMSKNKKl0++nE/DErWyL29oxymNzq0gL\nGGey+ilNRoxqsYKmhO5xV9CVVMOPSGukZViRNhmkaRmvZTfFWdHqrJXcaCIiIiIiIiIioiMM0oiW\nTBoVacAxD9Jyq0jzH8dIcY2xqeeOEdJJkkAh5OPSXB8NAGQp/NeEnGGQpk0GacrJb+246lgLR0RE\nRERERERExwFbOxItmTTWSAOAnhk9EDMtO9H4YdtC5lWRFjROMcU1xkbpqhQpmBpV0MO1mywaaqzn\nDxKlyizN1o4PPvzY2L8dOGi0+wCAT37xcSg++/E4tkek+NhWkoiIiIiIiIiIjgMGaURLJq0gLc7z\ndBO2lez0rFDrLuUVpNkB46iKDEUWMAPWUIsrylpnk4qGgr3D7vyfS70iLVyYIUS2rR0FBDYqRmbP\nH4ZzQtscToaWnoNmD2LG/UmDy8BxG104GY5LREREREREREQUBYM0oiUTp5LM93n60YO0ToiKqFkc\nxx1Xn9Gm0Lad3AKLWYFdwVBQb/ZTHa+QIOQq6vMrzWRZpL52WNggLe22jsctLDmhGdpMGxUdi2iw\nuF4xsJp7nIiIiIiIiIiIjiMGaURLxHGc9CrSYqxDFrY147znmBWk5VWNNm+sop5+kJakWszQZQgx\nuyqqoCupt8NbVJB27DgOTmq4s6jQ8riFpURERERERERERH7SLV0gokyZVnrVWv0YbRrbveTVcPOe\nw86xf96ssdJea8x9zvhBmiTE3Iq2tNs6Am6VW7ifO/lfJye1tSMREREREREREREFO/kzn0QnSFrV\naMBiK9JmCVq3LAuzxko7lDI0GbKU7CN33mtKEtQFkSUJYYrcwgZuy8hxnBNai0ZERERERERERETz\nMEgjWiL9lNZHAwDbBswIYZpp2TDN5HHCvHXWcq1ImxGkqYqU6npjaYRc8yrSkqzBNosSotpMPcEV\nad45yTCNiIiIiIiIiIho9ZzcmU+iEyjNirSoz9dJoa0jAHT61sywLM+KNMdxq42ClFJs75jGc80K\nymRZQFeD155LQglRbRYmbFtWlsUIjYiIiIiIiIiIaFWd3JlPohMoTjvGtJ6v003e1hEA4ADdGaFc\n3utQzRouzVaJaTyXoctAQKZV0LKpRgMARZn/VRHmZ5aV5YW7zNOIiIiIiIiIiIhWzsmd+SQ6gdKu\nSDMjPF87pYo0YHZ126wKsSzMqoBLqyJNlgUMLXm1mCSCq87SeP4gYdo2nuTWjs6wtSOTNCIiIiIi\nIiIiolVzLGY+TdPEI488gle84hX4nu/5HvzIj/wIPv7xj6Pf74d6/OOPP443v/nN+L7v+z5893d/\nN171qlfhM5/5TMavmih/i23tmFJF2pznOk5RRUGXIaXwKVk0FAgxvz1iGEGBWaZBWohqszA/s6xy\n7DZKREREREREREREx8yxmPl873vfi9/6rd/C2toa3vCGN+D06dP4yEc+gne84x1zH/v444/jda97\nHf76r/8aP/iDP4jXve51aLVaeM973oMPfvCDObx6ovyYabd2XMAaafOeK/fWjjPGE0KgmEJVWjnF\ntdaCAjM9wyBNU+Y/t3aSg7SRJC3vikkiIiIiIiIiIiJarOwW1QnpH/7hH/CZz3wGL3vZy/A7v/M7\nEELAcRz82q/9Gj73uc/hy1/+Ml760pcGPv7DH/4wWq0WPv7xj+NHf/RHAQBvf/vb8cADD+AP/uAP\n8NrXvhYXLlzIa3OIMpV6RVrIYK5vWrCs9AKE1NZbS8Xs7SoZChqtcNWxQdJcay2otWPQ7WlQ1Tkh\nmTjZa6SNhmeOA6RUXEhERERERERERERLYOEzn5/+9KcBAL/4i784bH0mhMCv/MqvQAiBP/7jP575\n+K997Wuo1WrDEA0ASqUSfvzHfxy2beNrX/tadi+eKEe248BMMcwCwgdzaa6PBgDdvj1zbbLjJPE6\naSLdIE3zCcyEyLa1oj6nIk1VJEgnOF1yxv7/cpy3RERERERERERElI6FB2lf/epXsb6+juc+97lj\nt58+fRp33nknvvKVr8x8/NraGhqNBg4ODsZuv379OgBgfX093RdMtCBmytVoQPiKtDTbOmb5nFlI\nGoIVNBlyGgutDfgFZqoipbYGm++YcyrSTnJbR2C8/Sc7OxIREREREREREa2Whc5+9no9XLt2DRcv\nXvS9f2dnB4eHh9jb2wt8jte+9rWwLAvveMc78PTTT6PRaOBP/uRP8NnPfhbf9V3fhRe96EVZvXyi\nXKW9PhoQPpzLohVjp3dc2jvODqAUWUq0/ljiirYJQUFaliQhZo4RZg01IiIiIiIiIiIiomW00DXS\n9vf3AQCVSsX3fu/2er2OjY0N3595/etfD1mW8b73vQ8/9mM/Nrz9+7//+/HQQw9BljnBSydDP+W2\njoBbXWNaNhR5dhDT7adfPRb0nHl3CAwzXslQ0I1ZQZdmW0fADbUUefxFZx2kAYCmSoGtQLV5a6gt\nudFz5AR3sCQiIiIiIiIiIiIfC539NE23IkXTNN/7vdu73W7gc/zTP/0Tfu/3fg+qquLVr341Xv/6\n1+Oee+7BY489ho985CNw2IeLTogsWjsC4Srd8mztmGWLQj9h1vZKEoalHaQBmAo+5wWhaZhVdab7\nrNt2koyeIXmfn0RERERERERERLRYC61IMwwDANDv933v7/V6AIBCoeB7f6PRwM///M/Dtm386Z/+\nKe66667h4371V38Vn/70p3HPPffgp37qp2a+jvX1IhS2JsvF1pZ/9SHN14dArTs/0JIkd6K/VvN/\n30yqrZVQLfmH2QDQNy2Uy81QzxVlbEOXfc8HrdDFXtP/MyGNcSdtb1fmhiPFsoF61z9wnDW2LAuc\nP7eWevhyq9EfG3d7q4ytrXKqY0zqOoA9WOttcpvPna2hUgw+h5adamjDbd7emn++EBEdV/w9jIiW\nGT/DiGiZ8TOMiJYZP8MWHKSVy2VIkoRGo+F7f71eBxDc+vGv/uqvsL+/j7e+9a3DEA1wK9ne8573\n4Itf/CI++9nPzg3Sbt9uxdwCimJrq4KbN+uLfhlL6/rNBg4OOnN/zrbdKsyDg3ao5712/RDdih54\nf6PdD/1cUcY+EMD1qj5VERZlvDjjjhHArVv+nz9jz+84ODxsw6/AddbY5aIa6vmjqtfbY+NWNAka\nsq2+bdY7w22c3Ob6QQudZnDl8LJrtPuwbQeSJDI5nkREeeDvYUS0zPgZRkTLjJ9hRLTMVukzbFZg\nuNDWjpqm4dy5c7h06ZLv/ZcuXcLGxgbW1tZ877927RoA4J577pm6b3NzE+vr67h69Wp6L5hogcK0\nYMzieTs9M5Nx4QA9n3XSZCm/ap+wY0lCoKBHv+6gGOMxYUy+bjmP1o4B7RuFyKe15CLleEoSERER\nERERERHRMbPw2c8XvvCFuHnzJr797W+P3X79+nU89dRTeMELXhD42FOnTgHA1GMB4ODgAPv7+9jc\n3Ez3BRMtiGlmU3E0L0jrZrA+2qznlnJMLaKMZWjR27/GCd/CmAzS8thnuur/daGp8olvdehtn8DJ\n3k4iIiIiIiIiIiKattDWjgDw6le/Gn/2Z3+GD33oQ/jwhz8MSZLgOA4eeughAMBrXvOawMe+9KUv\nRaFQwKOPPor7778fFy5cAABYloX3v//9cBwHr3zlK3PZDqKsZVeRNjug6/azGRcAOn0LtYnb8qxI\nUyKMVdQV7CFa+8KCns3ai5PBWR77TJElCIGp9pZaQMC2rB58+DGfWx002n2IwPuBD77lvkxfFxER\nERERERERES3GwoO0++67D694xSvw+c9/Hq95zWvw4he/GP/4j/+Ir371q3jZy16GH/qhHxr+7Ec/\n+lEAwNve9jYAbkXau9/9brzrXe/C/fffj5e97GWoVqv427/9Wzz++ON40YtehDe+8Y0L2Cqi9C2q\ntWPXp/1iWvwq0vJt7Rg+BDIiVpdJEqAHtENMaqq1Yw77TAgBTZGmglVdyWYbjxeBjYoBWRaw5gTP\nREREREREREREdLIsPEgDgA984AO499578dnPfhaf/OQnce7cOfzSL/0S3vSmN421DPvYxz4G4ChI\nA4Cf/MmfxM7ODn7/938ff/mXf4lOp4MLFy7g7W9/O37u534Omqblvj1EaXMcB6adf2tHx3F81zFL\nS8+cHlsIAUUWcyvl0iDL4QOoqNVleoYtDycr0qScWitqqjwVpJ20irRZlWWrtLgqERERERERERER\nuY5FkKaqKt761rfirW9968yf+8Y3vuF7+0te8hK85CUvyeKlER0Llu0AGeVKswKrnmlPtfJLU1C1\nmyxLMK3sAjyPIocPgWRJgqpK6IdsdZnV+mjeaxmV17pymioD6I/dpq5ERRoRERERERERERGtqpNV\nSkB0QmXV1hEArBnPnWU1GgD0+zZsn6ROjRBwJaEq0cYxIrRq1LXsAqb/n717D5erru/F/1kzs/fO\nZQeTSAyXwNEWrcgBHouKAgoBJEgfNCptOLXEg4APx6APpdXGFvUp1ANVK3Lx8tN6wRoB8QK2cosF\noadow+2Uo0gqCmi8QGIgd5O998zvj5i4szOzs9bMWmvPnrxe/5jMmlnf747s+WO9n/fnOxFnpEVE\n9Df59xrosUYaAAAAAMBonoDCJFDkmMPheiMaLWpn21K2rzrRrOGVNeBqV9bAbkqGcCxL6JbVLsFZ\nUl4jrdn/L2X9fwUAAAAAMBE8AYVJYLzWWMcavx0d2cS24eLHK25tskatpHAm6zpZWmZT+osb7Tj6\nTLSy2mgRO0Y7/k6SZBuPCQAAAAAw2XgCCpNAq6Art/u3aLxNVCOt2QjBImRdZyBtyyyJ6Ctw5OHo\n8Gx0qFa0sQ2+Wq0SSYnrAwAAAACUTZAGk0CRZ6RFRIzUm9+/jEZaszVKC9Iyhl1pg7SBWqXQgGv0\nKMcyG2ljxziWdZYdAAAAAMBEKW72GJCbohtprc5gGxouoZHWZI2xIwSLUKsmUa1kC4L6apVIkogW\nR8rtlPf+3/2Je3d7beOWoYiI+P+++YOm4xU//I5jct1DxPYAb3SI53w0AAAAAKDXCdJgEmgVdOWl\nVVA3UUFa6hGKHWgn7EqSJPprldi6h5GXZQSBswYHfrupwpfaRV91VJCmkQYAAAAA9DhBGkwCrUYv\n5qXZ6Mjhkfoem1d52NYkSKtUkuirVQoN8toN6/r7qimCtHwDpiLaZe2qjWqh1TTSAAAAAIAe5yko\nTAIjE9BIK6ONFtH6/LeiW2nthl1p2mb9teIbaRNl9BjJWonnswEAAAAATARBGkwCRZ+RNtKikVaG\nkZFG1JtU3wb6iw2jpvS3V8jtT9HCyruR1k1GB2lVox0BAAAAgB7nKShMAs2Crlzv3ySoK/pctl3W\nb/LzTSk8SGvv/n1pgrQeHnlYG3VG2ug/AwAAAAD0ot592gs9pPBGWtMgrZxG2va1dl+/0CAtab/x\ntqfRjkmya2ur11RHjXOsVnr35wQAAAAAiBCkwaQwEUFa0Wvuaa12Ry+mMdBXjUrSXptqT420vlol\nkjbvPRmMDs+qGmkAAAAAQI8TpEGXqzca0eQIsVw1G61Y9DjJPa3VV6sUNjpw6kD7bbc0QVovq+zS\nSBOkAQAAAAC9rbef+EIPGCnhrLJ6FzbSIiKmDhTTSpvaQdutkiRRq7UOkPprxZ7tNtFGt9AEaQAA\nAABArxOkQZdrFnLlbaRJ5a3MIG24xVpTCgrSOr1v3zhnoNV6vZE2amxlL4+wBAAAAACIEKRB1xup\nFz9isVlYVy96nuQojRZrTSsoSJvWwWjHiIj+vtaf7/XRjjtaaCI0AAAAAGBv0NtPfKEHlNEMq9d3\nD7Ma5R2R1rJ118lZZq3Uakn0dTh+cbxGWn+PB2kV4xwBAAAAgL1Ibz/xhR5QxmjHiN0DuzIbaa1+\nxIG+alRy/pbK49y18Vpnvd5I2zna0VhHAAAAAGAv0NtPfKEHlHVU2djArtW4xSK0WitJklyCr9Hy\nGBc5bpA2TlutF1Q10gAAAACAvUhvP/GFHlDGGWnb1xkbpJWy7G8Xa30p73PS8rhfbZwgbbxrvWBn\nIW1itwEAAAAAUIrefuILPaCs0Y67nZFWyqp7Xiv3RtqUzu/X6hy0Wi353ejDHpX0+M8HAAAAADBa\nvk+ogdyVNdpxbCOtW+QRfO1QqyXRV6t2fJ9Wox17bazjuz9xb9PXN24ZGvf6h99xTGF7AgAAAAAo\nkyANulxZAdfY5luZvaPx1hroq0alkuTSzJs20NfxPSIiqpVK0z3193Ue0k0Gs2cMTPQWAAAAAABK\nIUiDLtcoK0gbs0ypE/zGWStJkpg2pRYbNw91vEye7ba+WiW2bhvZ9bUea6RplgEAAAAAe7veeuoL\nPajemJhGWpn2lNlNy+mctLzuE9F8vGOrkY8AAAAAAExOnvpClytttOOYwC4psZK2p7Wm5hSA5XWf\niObtM0EaAAAAAEBv8dQXulxpjbQx61Qq5QVpe1orj5GMfX2VXIOuZveqCdIAAAAAAHqKp77Q5Rr1\nctYZO9qx2kVB2kBfNWrVzvaT51jHiBajHXvsjDQAAAAAgL2dp77Q5cprpO3690qJox3TZHZTO2yl\n5dFqG80ZaQAAAAAAvc9TX+hyjZKCtMYENtKqlT1/FXXaKMvzfLSI3UOzJImoaaQBAAAAAPQUT32h\ny40duVjYOmMCu2qHoxSzSLNWp0Fa7qMdx4Rm2mgAAAAAAL3Hk1/ociUdkRZji2/VEttVtRSNtE4a\nZf19ldzbYrWaIA0AAAAAoNd58gtdbuzIxaKMbaTVyhztmKKR1t9XjVqbLbm8xzpGbD9DbvS+jXUE\nAAAAAOg9nvxClyspR9s9SCuxYZW2zdVuIJb3WMcdRo93HDvqEQAAAACAyc+TX+hyYwOuooxdpqxg\nqFpNopKka5pNaTMQK6KRFrFr2Fhm8AgAAAAAQDk8+YUu1mg0IkpqpDXGJGllnfmVJbBrt1k2daDa\n1uf2ZPTe2x07CQAAAABA9xKkQRcrqYwWERH1MTMka9VKpCyKdSRLYDelP3sgVqsm0VcrJkgbfUaa\n0Y4AAAAAAL3Hk1/oYmWNdWylv6+YAKrdNab0VzOHe+2Og0yjNio8qwrSAAAAAAB6jie/0MVKbaQ1\nWau/hPGOWdZIkiRzK21qGy22tGqV36V6RjsCAAAAAPQeQRp0tfKStLFnpEV0XyMtImJKf7aGWdb3\nZ1Hd5Yw0X6cAAAAAAL3Gk1/oYs1aYkVp1n7r7yuhkZZxjayNtCkDxYWBo89Iq1Q00gAAAAAAeo0g\nDbpYs5ZYmWtNKaGRNpC5kZbt/Vnvn8Xo0Y6VrIe3AQAAAADQ9QRp0MXKPCOt2VJFj3asVZPMIxEH\nMgRptVr2+2dRrWy/twgNAAAAAKA3CdKgi5UapDVZbKC/WmhKlCUU26G/L/2eijwfLWLUOEdtNAAA\nAACAniRIg65W5mjH3V+rJEkM1Ir7mmhn7GIlSVJ/rsixjhERVeeiAQAAAAD0NEEadLH6BI92jIiY\nMlBcq6vde6cP0or9itvRSBOnAQAAAAD0JkEasF2j+XjHKW2MX0yr3XunDciKbqQBAAAAANDbBGnQ\nxZoFW4Wu1+S1Is8Zm9p2kJbuc/0lBGnaaAAAAAAAvUuQBl2s3BituakDxYRRtWoSfbX27p02ICut\nkSZNAwAAAADoSYI06GZlJ2lN1hvoq0algG+KqR2cvdafYrRjrZbsPMOsaHI0AAAAAIDeJEiDLlZ2\njlZvMkoySZJCxjtO6SRIS9FkS/OeXCRiNAAAAACAXiVIg25W8hlprUxp8yyz8UzrIEirVJKoVccP\nsPpqvt4AAAAAAOiMJ83AHk2bkn8jrdOz1/YUlPUL0gAAAAAA6JAnzdDFuqOP1ll7rJlKJYmBvk6D\ntPE/39fh/QEAAAAAQJAG7NRqkuSUgVquR4FNHahG0uEN99RI66v6egMAAAAAoDOeNEMXK/+ItOYL\nVpIk13PS8mi47Wl0ozPSAAAAAADolCfNQCrTpvR11b1qe2icaaQBAAAAANApT5qBVPI8Jy2Pe9X2\n0Dir1XKcRQkAAAAAwF5JkAakMm1KPkFatZrEQA5jImvV1kFZpRJRrfh6AwAAAACgM540A6lM6a9G\nHtlUXs228UY7Vo11BAAAAAAgB542A6kkSRLTBjo/2yyvZtt4jbRaxVhHAAAAAAA6J0gDUpuaQwg2\nbUrnYVzE9tGNSYu8bLy2GgAAAAAApOVpM5Da9DyCtJxGO0ZsP2+tmVKDtEajvLUAAAAAACiVIA0Y\nZfyRiJ2GYP19leir5fe1U21xaFu15NGOojQAAAAAgN4kSANS6++rRq3WfkiV1/loO7QKzFo11Qoj\nSQMAAAAA6EmCNOhirc4Am0jTOzjjLK/z0XZoFZhVSm6kAQAAAADQmwRp0MXKjoPSBHedjHfM83y0\niHEaaSUGacpoAAAAAAC9S5AGZDK13fGMSf5BWqVF8tfq7DQAAAAAAMjC02boZiXPdiyykTa1v5r7\nyMVWzTOTHQEAAAAAyIMgDbpY6aMdU6xYq1ZioC/7V8fUnNtoEa3PQivrjLR6Y/tgR+MdAQAAAAB6\nkyANuln5SVoq06b0Zb71tHZHQo5jwoO0uggNAAAAAKCXCdKgi3VpjtbWOWnTBrKHb3vS6oy0Vq8D\nAAAAAEAWgjToYknpZ6SlWy/rOWlJEjFloNrOlsY10UFa47ejHaOhmQYAAAAA0IsEadDFSs3RMqw1\nNWMoNnWgVki41Xq0Y+5LNWWyIwAAAABAbxOkQRcrM0fLcqxYtVKJgf70YdrUjA22tFplc2U1+Rqa\naAAAAAAAPU2QBl2s3NGO2dbKMt4xa4MtrVb/PmX9s8nRAAAAAAB6myANuliZOVqWRlpEtjPPereR\n9tv/LWU1AAAAAADKJkiDLpaUONwxa/iUOhxLIqb2FxOktTp3rYjz2JppiNAAAAAAAHqaIA26WJmN\ntKxrpQ3HBmqVqGStu3WgzH8zox0BAAAAAHqbIA26WJlnpGVdqa9WiVp1z5+aUtBYx4jm4yhLPVYO\nAAAAAICeJkiDLlbqGWlttMbShGRFnY+2XbM9l/eP1lBJAwAAAADoaYI06GLljkTMvtbU/mou72lX\nsy2X+E+2ywlpQjUAAAAAgN7TFUHa8PBwfOELX4jTTjstjjjiiDjppJPi4x//eAwNDaX6/NatW+Oa\na66JBQsWxOGHHx4nn3xy/O///b9j/fr1Be8cilXmlMJ22m8DKUKyNO/JldGOAAAAAADkpCuCtEsu\nuSQuu+yymDlzZixevDjmzp0bV111VfzFX/zFHj87NDQU5557blx99dXxvOc9L84666zYf//949pr\nr41zzz03tm3bVsJPAMVIkqS08Y7tNNKm9I8/tjFJIgb6ym2kJROUpOmjAQAAAAD0niIPL0rlwQcf\njBtuuCEWLFgQV155ZSRJEo1GI5YuXRo33XRT3HXXXTF//vyWn//iF78YK1asiHPOOSfe85737Hz9\nkksuiWXLlsUtt9wSCxcuLONHgULs+J0oWqWtIG38kGygr9pWQJfWRIVmzXTPTgAAAAAAyEtbjbRN\nmzbFQw89FN/5znciImLdunVtb2DZsmUREXHBBRfsfOCeJElcdNFFkSRJ3HjjjXv8/IEHHhh//ud/\nvsvrb3vb2+KNb3xjDAwMtL036AaVknqj7eRdtWolatXWHyx8rGOzpSVaAAAAAADkJFMjbc2aNfHB\nD34wli9fHiMjI5EkSTzyyCPx5S9/Ob7+9a/HZZddFi972csybeD++++PWbNmxYte9KJdXp87d248\n//nPj/vuu6/lZx977LH4+c9/HmeddVb09fXtcm3evHlx+eWXZ9oLdKPtAXN3NtIitodlw1uGm17b\nU2OtU3I0AAAAAACKlLrrsnbt2li0aFHceuutccQRR8RLXvKSnePmpk6dGr/4xS/ivPPOi5UrV6Ze\nfNu2bfGrX/0qDj744KbXDzzwwFi/fn2sXbu26fX/+q//ioiIF77whXH33XfHmWeeGUceeWQcd9xx\ncfnll8fmzZtT7wW6VbsBV+Z1Km0GaeOcgVbk+WjdYPS/WJEjLAEAAAAAmBipG2lXXXVV/PKXv4xP\nfvKTMX/+/LjmmmvikUceiYiI//k//2cceuihce6558YnP/nJ+NjHPpbqns8++2xERMyYMaPp9R2v\nb9iwIWbPnr3b9aeffjoiIu66666466674vjjj48zzzwzVqxYEZ///Ofj4YcfjmuvvXa3thpMJm3m\nW6WtM15Y1l9wkNYsuyrqn+vdn7h3t9cajUZs3DLU8npExIffcUxBOwIAAAAAoGipg7Q777wzXvva\n18b8+fObXj/66KPjlFNOiQceeCD14sPD28fB9ff3N72+4/WtW7c2vb5ly5aI2B6kXXrppfEnf/In\nERExMjISF110Udx2223x5S9/Od761rem3hN0m3abYmWtM15YNtBX0gFvEyRJkpg9Y8pEbwMAdAeS\n8wAAIABJREFUAAAAgIKkDtKeeeaZOOigg8Z9z9y5c1uOYWxmypTtD6CHhoaaXt+2bVtEbB8d2Uyl\nsv0h/Ute8pKdIVpERLVajfe85z1x2223xa233rrHIG3WrGlRq/X2CLpuMWdO8/bhZFWvN+LcDy5v\n67Ofe98pqd73681DUdu4LfV9dwRiz3lO89+bVvZ97mDMmTOY6TMREVOnD8Szvz0jbfTaSRKx/37P\nKXTk4bahkXjO2t/ssu6UgWoh/5194QMLcr8nk0+vfYcBexffYcBk5jsMmMx8hwGTme+wDEHafvvt\nt3OUYysPP/xw7LfffqkXHxwcjEqlEhs3bmx6fcOGDRHRevTj4OD2h/4veclLdrt24IEHxj777BM/\n+9nP9riPZ55xlloZ5syZEatXb5jobeRqy9bh+M224abXdoz8G5zafLRo2n+L9eu2xLoMQVq9vv3s\nwnXrtqT+TETE9P5K9EUj02ciIoaG6zvXGr32QH811qxp/rudlx1rj173N/3VnvvvjO7Qi99hwN7D\ndxgwmfkOAyYz32HAZLY3fYeNFximDtIWLFgQn/3sZ+P666+PM888c7frn//85+OBBx6Is88+O/XG\n+vv744ADDohVq1Y1vb5q1aqYPXt2zJw5s+n15z//+RHRutE2PDwc++yzT+r9QFZDw/U4+3WHNr32\n+Vt/GBHR8vpIvR7Vyp5HH1YKbHTtuk57n+urVaJSiajXd329v9bbYx0BAAAAAOh9qYO0888/P+6+\n++7427/921i2bFnUf/vUfOnSpfGDH/wgHnvssTj44IPj/PPPz7SBo446Km6++eZ4/PHH4wUveMHO\n15966ql44oknWp7JFhFxxBFHRF9fX9x3330xMjIS1ervxjP++Mc/js2bN8erXvWqTPuBLIaG63t+\n0zifrfanCNJKOiMtTajXSl+1ElvHJGl9JQRpzTLGcv61AAAAAADYG6R+0j04OBjXXXddnHnmmfHz\nn/88fvzjH0ej0YibbropnnzyyXjDG94Q1113XeYG2MKFCyMi4oorrtgZzjUajfjoRz8aERGLFi1q\n+dkZM2bEaaedFr/4xS/i05/+9M7Xh4aG4sMf/nBERLz5zW/OtB/IYnik/SBteCTdGMWygrROlunr\n2/2Mwf4mrwEAAAAAwGSSupG2atWqmDdvXnzgAx+Iiy++OB5//PFYv35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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a382320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 10))\n",
    "lr_ps = [i for i in range(50)]\n",
    "sns.set_style(\"darkgrid\", {'axes.grid' : True})\n",
    "lr_plt = plt.violinplot(LR_sample_scores, positions=lr_ps, widths=0.9)\n",
    "plt.tick_params(axis='both', which='major', labelsize=20)\n",
    "# plt.title('Violin Plot of Model Score against Number of Strategies used in Sample, using Logistic Regression', fontsize=20)\n",
    "plt.xlabel('Number of Strategies used in Sample', fontsize=20)\n",
    "plt.ylabel('Model Score', fontsize=20)\n",
    "plt.savefig('/Users/James/Projects/FinalYearReport-Manuscript/img/ML/score_against_sample_size_LR.png', bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "plt.clf()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10479e4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x109d689b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 10))\n",
    "svc_ps = [i for i in range(50)]\n",
    "sns.set_style(\"darkgrid\", {'axes.grid' : True})\n",
    "svc_plt = plt.violinplot(SVC_sample_scores, positions=svc_ps, widths=0.9)\n",
    "plt.tick_params(axis='both', which='major', labelsize=20)\n",
    "# plt.title('Violin Plot of Model Score against Number of Strategies used in Sample, using Support Vector Classification', fontsize=20)\n",
    "plt.xlabel('Number of Strategies used in Sample', fontsize=20)\n",
    "plt.ylabel('Model Score', fontsize=20)\n",
    "plt.savefig('/Users/James/Projects/FinalYearReport-Manuscript/img/ML/score_against_sample_size_SVC.png', bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "plt.clf()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Equivalent</th>\n",
       "      <th>CC_rate_r</th>\n",
       "      <th>CD_rate_r</th>\n",
       "      <th>DC_rate_r</th>\n",
       "      <th>DD_rate_r</th>\n",
       "      <th>CC_to_C_r</th>\n",
       "      <th>CD_to_C_r</th>\n",
       "      <th>DC_to_C_r</th>\n",
       "      <th>DD_to_C_r</th>\n",
       "      <th>Cooperation_rating_r</th>\n",
       "      <th>Initial_C_rate_r</th>\n",
       "      <th>Median_score_r</th>\n",
       "      <th>Wins_r</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name_A</th>\n",
       "      <th>Name_B</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">$\\phi$</th>\n",
       "      <th>$\\phi$</th>\n",
       "      <td>1</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>$\\pi$</th>\n",
       "      <td>0</td>\n",
       "      <td>0.753152</td>\n",
       "      <td>0.927595</td>\n",
       "      <td>0.801667</td>\n",
       "      <td>0.125348</td>\n",
       "      <td>0.701207</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.353706</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.861758</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.960262</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>$e$</th>\n",
       "      <td>0</td>\n",
       "      <td>0.737492</td>\n",
       "      <td>0.905734</td>\n",
       "      <td>0.672500</td>\n",
       "      <td>0.300836</td>\n",
       "      <td>0.721454</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.409661</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.842350</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.897173</td>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALLCorALLD</th>\n",
       "      <td>0</td>\n",
       "      <td>0.739751</td>\n",
       "      <td>0.592238</td>\n",
       "      <td>0.937000</td>\n",
       "      <td>0.367979</td>\n",
       "      <td>0.545858</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.842778</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.846945</td>\n",
       "      <td>0.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adaptive</th>\n",
       "      <td>0</td>\n",
       "      <td>0.857269</td>\n",
       "      <td>0.134866</td>\n",
       "      <td>0.541761</td>\n",
       "      <td>0.239174</td>\n",
       "      <td>0.591589</td>\n",
       "      <td>0.878181</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.275000</td>\n",
       "      <td>0.373147</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.630139</td>\n",
       "      <td>0.421053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adaptive Pavlov 2006</th>\n",
       "      <td>0</td>\n",
       "      <td>0.670804</td>\n",
       "      <td>0.215091</td>\n",
       "      <td>0.836667</td>\n",
       "      <td>0.198562</td>\n",
       "      <td>0.554627</td>\n",
       "      <td>0.530442</td>\n",
       "      <td>0.826317</td>\n",
       "      <td>0.082975</td>\n",
       "      <td>0.635862</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.820228</td>\n",
       "      <td>0.533333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adaptive Pavlov 2011</th>\n",
       "      <td>0</td>\n",
       "      <td>0.678422</td>\n",
       "      <td>0.224198</td>\n",
       "      <td>0.883333</td>\n",
       "      <td>0.205143</td>\n",
       "      <td>0.560910</td>\n",
       "      <td>0.450325</td>\n",
       "      <td>0.938279</td>\n",
       "      <td>0.020550</td>\n",
       "      <td>0.636443</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.809015</td>\n",
       "      <td>0.615385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adaptive Tit For Tat: 0.5</th>\n",
       "      <td>0</td>\n",
       "      <td>0.594241</td>\n",
       "      <td>0.315265</td>\n",
       "      <td>0.596667</td>\n",
       "      <td>0.217972</td>\n",
       "      <td>0.545858</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.343435</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.766347</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.891120</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aggravater</th>\n",
       "      <td>0</td>\n",
       "      <td>0.176211</td>\n",
       "      <td>0.000867</td>\n",
       "      <td>0.521286</td>\n",
       "      <td>0.143830</td>\n",
       "      <td>0.545858</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333433</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058704</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.668492</td>\n",
       "      <td>0.380952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alternator</th>\n",
       "      <td>0</td>\n",
       "      <td>0.908000</td>\n",
       "      <td>0.542064</td>\n",
       "      <td>0.955414</td>\n",
       "      <td>0.288585</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.343435</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.726533</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.866064</td>\n",
       "      <td>0.615385</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  Equivalent  CC_rate_r  CD_rate_r  DC_rate_r  \\\n",
       "Name_A Name_B                                                                   \n",
       "$\\phi$ $\\phi$                              1   1.000000   1.000000   1.000000   \n",
       "       $\\pi$                               0   0.753152   0.927595   0.801667   \n",
       "       $e$                                 0   0.737492   0.905734   0.672500   \n",
       "       ALLCorALLD                          0   0.739751   0.592238   0.937000   \n",
       "       Adaptive                            0   0.857269   0.134866   0.541761   \n",
       "       Adaptive Pavlov 2006                0   0.670804   0.215091   0.836667   \n",
       "       Adaptive Pavlov 2011                0   0.678422   0.224198   0.883333   \n",
       "       Adaptive Tit For Tat: 0.5           0   0.594241   0.315265   0.596667   \n",
       "       Aggravater                          0   0.176211   0.000867   0.521286   \n",
       "       Alternator                          0   0.908000   0.542064   0.955414   \n",
       "\n",
       "                                  DD_rate_r  CC_to_C_r  CD_to_C_r  DC_to_C_r  \\\n",
       "Name_A Name_B                                                                  \n",
       "$\\phi$ $\\phi$                      1.000000   1.000000   1.000000   1.000000   \n",
       "       $\\pi$                       0.125348   0.701207   1.000000   0.353706   \n",
       "       $e$                         0.300836   0.721454   1.000000   0.409661   \n",
       "       ALLCorALLD                  0.367979   0.545858   1.000000   0.000000   \n",
       "       Adaptive                    0.239174   0.591589   0.878181   0.000000   \n",
       "       Adaptive Pavlov 2006        0.198562   0.554627   0.530442   0.826317   \n",
       "       Adaptive Pavlov 2011        0.205143   0.560910   0.450325   0.938279   \n",
       "       Adaptive Tit For Tat: 0.5   0.217972   0.545858   0.000000   0.343435   \n",
       "       Aggravater                  0.143830   0.545858   0.000000   0.333433   \n",
       "       Alternator                  0.288585   0.000000   0.000000   0.343435   \n",
       "\n",
       "                                  DD_to_C_r  Cooperation_rating_r  \\\n",
       "Name_A Name_B                                                       \n",
       "$\\phi$ $\\phi$                      1.000000              1.000000   \n",
       "       $\\pi$                       1.000000              0.861758   \n",
       "       $e$                         1.000000              0.842350   \n",
       "       ALLCorALLD                  0.000000              0.842778   \n",
       "       Adaptive                    0.275000              0.373147   \n",
       "       Adaptive Pavlov 2006        0.082975              0.635862   \n",
       "       Adaptive Pavlov 2011        0.020550              0.636443   \n",
       "       Adaptive Tit For Tat: 0.5   0.000000              0.766347   \n",
       "       Aggravater                  0.000000              0.058704   \n",
       "       Alternator                  1.000000              0.726533   \n",
       "\n",
       "                                  Initial_C_rate_r  Median_score_r    Wins_r  \n",
       "Name_A Name_B                                                                 \n",
       "$\\phi$ $\\phi$                                 1.00        1.000000  1.000000  \n",
       "       $\\pi$                                  1.00        0.960262  1.000000  \n",
       "       $e$                                    1.00        0.897173  0.750000  \n",
       "       ALLCorALLD                             0.58        0.846945  0.800000  \n",
       "       Adaptive                               1.00        0.630139  0.421053  \n",
       "       Adaptive Pavlov 2006                   1.00        0.820228  0.533333  \n",
       "       Adaptive Pavlov 2011                   1.00        0.809015  0.615385  \n",
       "       Adaptive Tit For Tat: 0.5              1.00        0.891120  0.000000  \n",
       "       Aggravater                             0.00        0.668492  0.380952  \n",
       "       Alternator                             1.00        0.866064  0.615385  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create dataframe with no dubplicates, only one row for each strategy pair combination\n",
    "unique_scoring_df = training_df.groupby(['Name_A', 'Name_B']).first()\n",
    "unique_scoring_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# create models using specified strategies to see how the confusion matrices compare\n",
    "results_df = pd.read_csv('std_summary.csv')\n",
    "ordered_strats = results_df.Name.values\n",
    "model_strats = ordered_strats[::5] # every 5th strategy when order by rank from round robin tournament\n",
    "model_train_df, model_score_df = split_dataframe(model_strats, training_df)\n",
    "lr_model, svc_model = create_models_for_sample(model_train_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10af81048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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eJzTsEvciHzAvuAOZ3FyYufhXtoWcelx5kgaCx03ky4C+vPG6F/ny56fWe7XZv28f8XFx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\n7N+3x7JSf+3qVZQtWy7JVHp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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a754dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.99401727664\n"
     ]
    }
   ],
   "source": [
    "scoring_equivalent = unique_scoring_df['Equivalent']\n",
    "scoring_data = unique_scoring_df.copy()\n",
    "scoring_data.drop('Equivalent', axis=1, inplace=True)\n",
    "svc_predictions = svc_model.predict(scoring_data)\n",
    "svc_c_matrix = confusion_matrix(scoring_equivalent, svc_predictions)\n",
    "np.set_printoptions(precision=2)\n",
    "class_names = ['Different', 'Same']\n",
    "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n",
    "plt.figure()\n",
    "plot_confusion_matrix(svc_c_matrix, classes=class_names, title='')\n",
    "plt.savefig('/Users/James/Projects/FinalYearReport-Manuscript/img/ML/confusion_matrix.png', bbox_inches='tight')\n",
    "plt.show()\n",
    "plt.clf()\n",
    "print(svc_model.score(X=scoring_data, y=scoring_equivalent))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.feature_selection import chi2\n",
    "scores, pvalues = chi2(X=scoring_data, y=scoring_equivalent)\n",
    "p_vals = list(zip(scoring_data.columns, pvalues))\n",
    "pval_df = pd.DataFrame(data=p_vals, columns=['Variable', 'p Value'])\n",
    "p = pval_df.to_latex(index=False)\n",
    "with open(\"/Users/James/Projects/FinalYearReport-Manuscript/img/p-values.tex\", \"w\") as text_file:\n",
    "    text_file.write(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name_A</th>\n",
       "      <th>Name_B</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>$\\phi$</td>\n",
       "      <td>$\\phi$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>$\\pi$</td>\n",
       "      <td>$\\pi$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>$\\pi$</td>\n",
       "      <td>$e$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>$e$</td>\n",
       "      <td>$\\pi$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>$e$</td>\n",
       "      <td>$e$</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Name_A  Name_B\n",
       "0    $\\phi$  $\\phi$\n",
       "182   $\\pi$   $\\pi$\n",
       "183   $\\pi$     $e$\n",
       "363     $e$   $\\pi$\n",
       "364     $e$     $e$"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# collect rows where the model thinks the strategies are the same\n",
    "actual_model_predictions = svc_predictions\n",
    "equivalent_df = unique_scoring_df.copy().reset_index()\n",
    "equivalent_df['Predictions'] = actual_model_predictions\n",
    "equivalent_df = equivalent_df[equivalent_df['Predictions'] == 1]\n",
    "equivalent_names = equivalent_df[['Name_A', 'Name_B']]\n",
    "equivalent_names.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
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       "      <th>$\\phi$</th>\n",
       "      <th>$\\pi$</th>\n",
       "      <th>$e$</th>\n",
       "      <th>ALLCorALLD</th>\n",
       "      <th>Adaptive</th>\n",
       "      <th>Adaptive Pavlov 2006</th>\n",
       "      <th>Adaptive Pavlov 2011</th>\n",
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       "      <th>Aggravater</th>\n",
       "      <th>Alternator</th>\n",
       "      <th>...</th>\n",
       "      <th>Winner21</th>\n",
       "      <th>Worse and Worse</th>\n",
       "      <th>Worse and Worse 2</th>\n",
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       "      <th>ZD-Extort-2</th>\n",
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       "      <th>ZD-Extort-4</th>\n",
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       "  </thead>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>$e$</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALLCorALLD</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adaptive</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 181 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            $\\phi$  $\\pi$  $e$  ALLCorALLD  Adaptive  Adaptive Pavlov 2006  \\\n",
       "$\\phi$           1      0    0           0         0                     0   \n",
       "$\\pi$            0      1    1           0         0                     0   \n",
       "$e$              0      1    1           0         0                     0   \n",
       "ALLCorALLD       0      0    0           1         0                     0   \n",
       "Adaptive         0      0    0           0         1                     0   \n",
       "\n",
       "            Adaptive Pavlov 2011  Adaptive Tit For Tat: 0.5  Aggravater  \\\n",
       "$\\phi$                         0                          0           0   \n",
       "$\\pi$                          0                          0           0   \n",
       "$e$                            0                          0           0   \n",
       "ALLCorALLD                     0                          0           0   \n",
       "Adaptive                       0                          0           0   \n",
       "\n",
       "            Alternator    ...     Winner21  Worse and Worse  \\\n",
       "$\\phi$               0    ...            0                0   \n",
       "$\\pi$                0    ...            0                0   \n",
       "$e$                  0    ...            0                0   \n",
       "ALLCorALLD           0    ...            0                0   \n",
       "Adaptive             0    ...            0                0   \n",
       "\n",
       "            Worse and Worse 2  Worse and Worse 3  ZD-Extort-2  ZD-Extort-2 v2  \\\n",
       "$\\phi$                      0                  0            0               0   \n",
       "$\\pi$                       0                  0            0               0   \n",
       "$e$                         0                  0            0               0   \n",
       "ALLCorALLD                  0                  0            0               0   \n",
       "Adaptive                    0                  0            0               0   \n",
       "\n",
       "            ZD-Extort-4  ZD-GEN-2  ZD-GTFT-2  ZD-SET-2  \n",
       "$\\phi$                0         0          0         0  \n",
       "$\\pi$                 0         0          0         0  \n",
       "$e$                   0         0          0         0  \n",
       "ALLCorALLD            0         0          0         0  \n",
       "Adaptive              0         0          0         0  \n",
       "\n",
       "[5 rows x 181 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create adjacency matrix for strategies that are equivalent\n",
    "adj_df = pd.crosstab(equivalent_names.Name_A, equivalent_names.Name_B)\n",
    "idx = adj_df.columns.union(adj_df.index)\n",
    "adj_df = adj_df.reindex(index = idx, columns=idx, fill_value=0)\n",
    "adj_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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dxnXXXcfgwYOp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PESed0QXp9ddf58477+Tee+9t7CiSJEmSJEmSJEmSJEmSJEmSzqHIxg6g88vgwYMZPHhw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3H06FF8/vnnyM7Oxi+//IINGzZwVSyvX7/GsmXL8OjRIzRo0ADt2rXD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uHosWLarxaxrwVcFycnLChw8foK+vT2UhDQCXLl2iPV12GCYzMxMVFRX49ddf8fz5c2ho\naBAXeO7cuYNff/21xsEOWutyrnB3d0dcXBwnpwcusS9evPjOAWPQoEFEDhFMkTUqKgqdO3eGpaUl\nnj59iqdPnyqMDQ0NhZeXFwwNDdnvpaWlYcmSJcRuOQDw4MEDlJeXs8MEAoGAiExeF83Dpk2bcl7v\nASA2NhampqZ48+YNADoXAWdnZ1y+fBm2trYYOHAglcMGFxtPBtVVM5ctW0Ycyzee77FtbGywdetW\n9jWTL5IMyXJpuBYXF9eah/1bzxNAcl05OTnJ5HekQ0U+Pj6Ijo6GlZUVGjRoQGTzLg2upKGnT5/C\n09OTU/OOL/jcHwC3c9+2bRsePnyIkydP4s2bNzAxMUG/fv3QtWtXIuLnzp078eHDB1y7dg3Lli2D\nsrIyevTogb59+yrcS0gTV5KSknD58mVs3boVzZo1I9prb9iwgSXeTZ8+nXV7o2lwVFRUYOTIkbCw\nsAAguWZJGxR81Qz5DHC9ffuWXT8HDhxItG4yKCsrw6FDh6jPl8H169dx9epVKmJVu3btEBkZKaPW\ndfjwYXTo0IHq2FzeN/P/vHr1KtWxpMGVSLFo0SL89ddfNT53SffKfAfXNm7ciLVr11IrOgHcXUwY\nRVnpwZD8/HyqwWtnZ2dUVFQgLy8PVVVV0NPTU+jOIe2sVD2voWk88nFv4Xp/VVZWsg4RDMrLy6ny\nOz5iKXwQHR2N48eP482bN4iPjwcgIThXVFTA1dVVYTxzjgUFBWjcuDH1gP7ixYvRo0cPYvKgNDp2\n7Mi5hgdI6nja2tqso+Hly5fRvHlzub0gPmppnz9/xrlz51BQUMB+bgKBgFgFmDmvuLg4GBkZsfun\nDx8+EJ+DvLz//fv3MvsraSxfvhz37t1jazna2tqIiopic2F5sdLg6lxz7tw5REZGYurUqZg6dSrG\njRtHFCcNPvsvPgQUKysruLi4IDc3F15eXlQDrf9VLAPpXsTHjx+J3G2Z6+Dly5f49u0blJSUEBQU\nxA4wygMzoP/w4UNYWFiw+V1CQgLxHighIUEmZ6BVrvw/BVu2bKFy9eASv3nzZmzfvh0HDx5k++GW\nlpbUx+Xr9vP48WMMHToUBgYGyM3NhZqaGvv/lpdvVVRU4OXLl2jVqhWbN9Dkt1zEUgDg2bNnKC0t\nxahRo9C5c2dODsrS7+v9+/dEZNnU1NRa1+UfTdBiUFRUxIoItWvXDhcvXiSOVVFRkXFAJnVtq4t4\nvsf28PDAgAED2NexsbEYNmyY3PofU6t7/Pgx6tevj86dO+Pp06eorKz818jkfO9NvvFcoaWlhbi4\nOLZfxrjoKAIzJHD//n1YW1uzzwWafTpfiEQivHz5EoaGhqioqKAS74iIiEBMTAw6duyIffv2YejQ\nocTk/Pv378PHx4fa+YUBl4Hz5OTk7/bzzDDuv8Uvqs6LohGZcXJywrhx49CwYUN8+fKFWuhyxowZ\n6NWrF9LS0mBnZ8fmLD8SXPc8AL9hCz6x0uBznfK9xg8cOICTJ09CQ0MDQqEQU6dOJc7lmX7Rzp07\nMXz4cKJcoS5iAW5DJikpKTh8+DAAsEKPO3bsoM5XuBybj7M6AF65b238uidPnnByVv9JJv+Jn/hB\nYNRiAFnyCk2D29fXF4GBgTAzM0NKSgq8vLwUJh+FhYXYu3cv1NTUMG3aNJZMFhISQqTOwDcekFiD\nSTfcqr9WhL1798Le3h5mZmbYtm0bcRwgaeoKhULUq1cP8fHxVA9GvptNPoXbffv2sdZQo0aNolaO\n4VMI5GMbxGdKlMHLly/ZouvUqVOJG4hciHyAZBpt4cKF+PTpE5ydnXHq1Cno6Ohg1qxZVBtYPgr6\nnTt3BiBpMnABozDdtm1bXLhwgSr25s2b2LJlC/v64MGDNarl1oQvX76w9nFcwFgHOTo6ws3Njaro\nzUfFiguhrqSk5Lvm/dChQ4mbJcnJyTh69Cj7ulGjRvD09CRK7JOTk2We9ZqamliyZAmx0nV8fDyO\nHTvGrjdGRkbYsmULJk6cSEwm9/T05ORYcPDgQRw6dEhGvWPMmDGYP38+FZlcX18fx48fR/369bF5\n82Z8/vyZONbf3x9RUVGIj49H69atqYibXK4VafB5nubl5cHW1hbHjx9HREQEsUUzDdldHpo1awZj\nY2MkJycjJSUFvr6+MDMzIyKKt2/fHmFhYcjLy4ONjQ2xBTfXdZexHK+oqMDYsWORnp6uUP2XAVPE\nZCASiXDq1CnUq1ePag3g4vKwc+dOFBcX4/z58wgMDETTpk0xcuRIKrXTqqoqdvhJKBQSN6kNDQ1Z\nCy9GHVZNTY1I8bV79+7E51cbuDZrAX4NW+m8m5YQz6jT8QFXFaySkhK4urqiuLgYhoaGePv2LXR0\ndBAUFERkNXzx4kUcOnQI2dnZMDAwwKRJkzBkyBCFcYx61pw5c7Bjxw6oqKigqqoKc+bMITpvJhaQ\nkGekP3MVFRVUVFTItUsHJGryfK85S0tLlJaW4vz587C2tqayGuQSKxaL8ejRIza/A4CHDx8SERgZ\nR579+/dj9uzZACQN7+nTpyuMLSoqwpYtW7B06VIAEnWKTZs2UROEv379ykkVhA8RnkHz5s3Z9T4w\nMJBqvQckTVKug5FdunRhiWzSDTEScLHxZLBo0SJebiB84rnGpqSkIDc3F/v370fTpk0hFotRVVWF\noKAg/P3330T7MC4N18LCwloJZDRk8r179/JShuJC1JHOz4yNjdkBPRoSCMCdNCQSifDs2TMYGRmh\nvLwcJSUlVOfPkBlrey0PfO4PrueupKQEa2trWFtbA5C4i1y/fh1HjhzBX3/9RXRcfX19/Pnnn/jz\nzz9RWlqK27dvY/v27VTPmI4dO6Jjx44AQKymK10vrKysrPH7isCsH1wgz1mABMuXL8eVK1c4DXCV\nlZXh27dvqF+/PkpLS6lUsKytrXHz5k20bt2a/R6N8n/79u1RVlZGRbZZunQpVq9ejSNHjsDExATv\n37+HiYkJsZo6Ay7vW17NhrRGwZUIwdxDfPadXAfXGJibm6Nbt26cjs3VxWT+/PmYPXs25s2bBxMT\nE7x79w6hoaHEw0SAZO07evQoPD09WbKWIvTv3x/A90q4tODj3sL1/hoxYgQ8PT2xatUqNGzYEJ8/\nf8b69esxfPhw4vPmI5bCEDBrey0Ptra26NGjB3bt2sU6QCopKRG7TNy7dw8rV66ElpYWPn/+jHXr\n1uH3338nPncNDQ02p6eFpqYm7OzsZOpwNPfruXPnUFpaygoylJWVQVlZGR06dMDKlSs5nZM8MOt1\ncnIy9TAO8L9749KlS/D29gYAjBo1iuj+IsGKFSvkPlerP4vU1dXZ+p2iWAZcnWuYvIoLYZQBn/0X\nHwKKi4sL4uPj0b59e7Ru3Ro2NjbEx/2vYgFJ3W3ZsmVo0KABxGIx6tWrR6Vs7O3tjdWrV2Pbtm1Y\nunQpAgICFNYAmQH9mvZBpPuIM2fOEJ9jTWAGyWp7LQ/SZNWaXtOAD5mGNL68vFyu8A+pgylftx+u\nZP/09HSZfRrt4ADXHuvZs2eRkpKCM2fOYPfu3ezgOK3TKgNDQ0OkpaUp/D09PT2qz7U28Onll5WV\n4ePHj2jatCny8/MhEomIY589e4YdO3bg999/h52dnUyu9aPjucZeu3YNDx8+xLlz5/DkyRMAkv7E\n1atXFaoQM8T/mTNnygjizJgxg/i8r127JvPsrv5aEfjem3zi+dS4169fj8zMTLi4uGD//v0KBcoY\n6OnpISgoCP/88w8WLFgAoVCI8PBw4n4dwL+GNmLECKxcuRIbNmzAxo0bqWpqMTExiIyMZPsIEydO\nJD6X4OBgTs4vDLgMnJuZmfHmFvHlXYwePRp6enosL4qpSZHAxsYGffr0QX5+PvT09Ijrd4GBgd/9\n7vPnzwGQi29wqRcCEj4UV/AZtqirQQ0+1ynfa1wgELBDrJqamlRiZ5WVlQgICIC1tTXu3r1LxUPj\nEwtwGzKRHnR3dHREdnY21q9fT3Vcrsfm60Dp4eHB7il37dpF5drq5ubGxi5btgwBAQEAJPcsl2Hw\nn2Tyn/iJH4Ta1GIeP35M/De0tLTYoq+FhQWRbe3y5cvxxx9/oLKyEpMnT8bu3bthaGiIhIQEomPy\njQck9ojS9izVXyuClZUVAgICUFJSgrFjx2LYsGHElr0fPnyQsYV8/vw5MQm+JmVp0liAO/kSkEw8\nfvr0CTExMVi8eDF0dHRgb29P3CzhUwisTtKlsRDlMyXKwMDAgLWcy8/PJ1ZJ4kLkAyQkcKagf/Dg\nQbRs2RIAqK3r+CjoOzs7Iy8vD5WVlRCLxVSfuampKc6cOYNu3bohOTkZjRo1YhUy5BGeYmJicPXq\nVdy7dw93794FIGnUp6SkEJPJ58yZw/kaB4ATJ07Aw8MDAHDy5EmqWD62dzUpZyoip9fWvCdt6teU\nhJMSCWsj2pFurBo0aPDd76qqqhIr3TB/g4t6voqKynf3kqamJpSVlYmP/fLlS+jo6ODChQuwtLSE\nlpYW1YZcRUUFGhoaaNy4MSwsLCAUContvbhcK9V/Nz09HZmZmWjTpg3VIFVFRQUuXboEMzMzFBYW\nUpN++Jz74sWLWTX7gIAAtkhOSi5ZuXIl+vTpg/v370NXVxeenp5ESmZc1113d3dMmTIF06dPR+PG\njamGAKTVSzIzM+Hu7o5+/fpRN0mruzwwTUxFaNSoERwcHODg4ID3798jICAAHh4erPqZIixZsgQO\nDg74+PEjJkyYQHzemzdvxtu3b2FjY4O1a9eifv36aNasGby9vRUSYPr37w9DQ0O2UMM8B+tKYYGk\n4cq1YcuoQ4jFYqSmprJf/1vqEFZWVnB1daVWwQoMDMSQIUNkCB/R0dHYtGmTwsGJ06dP4/z58/D2\n9oaxsTEyMjLYvJq0ePvx40f2a+kBBhrMmzcPubm5MDU1RXp6OurXr4/KykosW7ZMbsN527ZtvMnk\nQUFByMnJwZs3b6Cmpobdu3cT20xzifXz84Ofnx9evnzJrr9t2rQhHnIBJIRupmn86NEjGYv72rB5\n82ZWVSEnJ4dVXCB1lWBgbm6Oc+fOoV27duz5k5Do+RDhGaxduxYfPnzAkCFDcOrUKeoCvIGBAXbt\n2iXT1CFtsIeEhODQoUMyjW1S4g0XG08GfN1A+MRzjf38+TNiY2NRUFCAmJgYAHQKkgC3hmurVq14\nDZQyuHHjBqZNm0aVj0pj5MiRrHoW6d5NnooqDZmcK2nI1tYWPj4+8PPzQ0BAAHXD3dLSUu5reeBz\nfwDczv38+fMYOnQovn79ipCQELx48QIdOnSgun6uX78OFRUVdO3aFZs2bcLnz5+pSKPVQboPqG3w\njaapRqKQWRuWLl0KgUAAkUiEd+/eoUWLFlR7fisrK1hYWEBJSQmamppUBJIpU6bA1tYW5ubmSE1N\npVJRLigogJ+fHyvEQJvbmZubo1evXtDV1WXvM0XEmwYNGiAwMBBFRUXIyspCs2bNOFnIcnnfdeFw\nxJdI8eLFCxw9elQmRyG9x7gOrjEYMGAAJkyYIEP6IT02VxeT7t27Y+PGjThy5AiOHz+O5s2bY926\ndTU2BWsDU8v+9u0b6tWrR3Tstm3bApAMPMTHx3N2PuXj3sL1/vrzzz+hpKSEyZMno6ioCJqamnB0\ndJRR81cEPmIpFy5ckNlvVX8tD2pqajAyMoKXlxeePXvGrvmJiYlEyp3BwcE4fPgwmjVrhtzcXDg7\nO1ORybnm44CEyJ6QkMCZrFlZWYnw8HAoKSlBJBJh9uzZ2Lt3r9yBBmmnGlqsXbsWXl5eWLt27XfX\nJc1zvLi4GJmZmTAxMUFaWhq+fPnC+ZykwUVdlzaWq3PNiBEjMGnSJGRnZ2P27NlUoh0M+Oy/+BBQ\nioqKcPv2baSnp+PTp0+wtrYmJk79V7GHDh3Cvn37oKysjEWLFqFPnz5EcdJQU1ODubk5Kioq0KlT\nJ6JhXmZAn0/PztHR8bv7i4ZAUv2apHFXmjt3Lvbu3Vvr65pQVlaGqKgo3L17lyXVWVtbY/LkyUR9\nYT7xe/bsgYqKCuvyo6KiArFYjOTkZPz9998QiURYvXq1wnPg6vbD15GExpWuJnDtsQISzgIjQnP/\n/n0EBgYiJyeHWHFU+j3n5eURDXBpaWmha9euxOdYG/j08hcvXoyJEydCU1MTJSUlVPeHm5sbO+QS\nHByMjx8/wt7eHiNHjlQovsE3nmts27ZtUVxcDHV1dTY3EQgEVMrmhYWF+Pz5M7S1tVFUVESssg1I\nXJ3kvVYEvk5cfOL51LgXLVqEffv2AQDbUyeBt7c3Tpw4gXnz5mHgwIF4/PgxioqKiBzuGPCtoU2Z\nMgVjx45FTk4O3NzciPk9gCSXYnJaVVVVovuCAVfnFwZcBs7V1NSIXGnkgS/vQvp5xgwmkyIhIQFr\n166lVrrmow7OYObMmew1TgM+9VY+wxZ1MagB8LtO+V7jxsbG2LBhA6ytrfHgwQOYmJgQx/r5+eH2\n7dsYP3484uLiqAb++MQC3IZMpkyZghEjRuDIkSPQ0dHB8uXLsXr1aiQmJv7wY/N1oJTeU966dYuK\nTC4dm5OTU+P3afCTTP4TP/EvoLy8HGfPnkVkZCTKy8vZBqwiNGnSBJ6enujevTuSk5MhEolYpdva\nCv7l5eXsz9q1a4cFCxYgIiKC+CHBNx7Ad6QkUoIVg8GDB2Pw4MHIy8uDv78//Pz88ODBA6JYPraQ\njE2iWCzG8+fPqSaKAe7kSwb5+fnIzs5GUVERWrdujYsXLyI6OpqIiL927Vrk5ORwKgRu3boVUVFR\nnCxE+UyJMkldeXk5Ll++DH19feTm5rJq+IrAlcgnXZSR3hSQ/r+lrQ0Z4jttk3nlypV4/Pgxvn37\nhtLSUhgbGxMXWdLS0pCWlobo6Gj2e15eXhAIBHKLgr1790bTpk1RXFzMXpdKSkpUhKOGDRsiPDxc\n5hqnIUOkpqayRQNacLG9Y8AQGJh7m6T42rFjx+9U2yMiIog3Bjo6OjWqIpGq0lZUVHz33CV9Dter\nVw9ZWVky/9usrCyq5iFX9fzajkF6f50/fx5hYWEsASU7OxvHjh2Dvr6+jKKWPHh5eUFPTw+3b9/G\nr7/+Cnd3d4SFhRHFcrlWpHHo0CFcvnwZnz59wpgxY/D27VviQs2sWbMQGxsLDw8PREREUCmq8z13\ne3v7GhudpEWM4uJi2NnZ4cyZM7C0tCT+f3Nddy9duoSTJ09i0qRJsLCwoHKGYBAZGYnw8HCsWLGC\nWpkIkDz/N2/eDLFYjMePH1MRSdLS0nDu3DlcvXoVrVq1olJb69q1Ky5evIjCwkJoa2sTN4wfPHiA\nI0eOoLKyEjdu3MD169dRv3591ulCHv766y/ExsairKwMQ4YMwaBBg4ifZSTg06xVFM9XjYkvZs+e\njUePHqFdu3YwNTUlLui9fPnyu2fH+PHjcfz4cYWx0dHR2L9/P5vjWFhYIDg4GDNnziQmk9vZ2WH4\n8OGwsLDA69evOSmeGhkZITw8HDo6Ovj06RNWrVqFdevWYfbs2XLJ5AKBAE5OTjK5Bm2elZiYiMjI\nSDg6OmLMmDFUBVkusS1btpRR2OECX19fBAQE4P9j783jak7/9/GrvSiJajCyVSpmLFkbKhkSKWth\niBmaEaISimxFZSQZO4NBypJ9Eo1os42KLGNJiSLthUrrOb8/erxe33NSnft+3c17Pr/Hw/WPSs9z\nv87ptTzv5/N6XldmZiYMDQ2JimoKCgoICQmBq6srKisrER4eTq1yDeAzRw1ZOWVDCCHCS8Y+ePAA\n1dXV0NDQwOPHj4mf90A9+eXVq1d49eoV/zPS3DQ2NhZxcXFUTQ0OrDaeLG4grPFCYlkVJIH6Yajp\n06dDQ0MDZWVlRA1XoY2rhigpKYG5uTk6d+7ME7NpyEqurq6oqalBfn4+6urqoKurK7NxKkn+EDpo\nCAC2traCSEMzZ87kyXs0StEchg4dCpFIxDsv0JDJWa8PIcd+/PhxjB07Fv7+/tDT08Pq1atx+/Zt\nrF27lqg24uPjg6qqKpSXl2PHjh2wt7fHV199hTVr1sgkv9jZ2TWZi5IMqIjFYn7v1/BrUnBkUbFY\njKdPn6Jt27bECsSSblofPnwgIstIwsPDAyNGjMD9+/chEolw9epV7Nq1iyjW3t4eFhYWyM7ORufO\nnYlrQUB9Pk06XN4YoqKicO3aNUG1CS0tLapjbQgh77slHI5YiRTe3t6YNWsWsQCEJFiIskB9LcbZ\n2VmQYhuLi4mhoSH1NSEJa2tr7Ny5E8bGxnB0dKQSsVi4cCF0dXX5+jatahvL+2a5vqZPn86kqs4i\nlsINOnKgdesBgMWLF1M/84H6nIWrCXz11VfUAx9Pnz7F06dP+e9p8vFu3bqhqKhI0HALUF/Pqa2t\nhbKyMmpra/H+/XsAaHaQgVSwoTFwtS7SYd+msGrVKixatAhFRUXo0KEDdf+pKQhRSKSNra6uhpWV\nFUaNGoVTp06hoKCAiIg0a9YsmJmZIS0tDd27d+eHT0hw/vz5z35Gu/9iIaB4eXnBysoKEydORHJy\nMry8vIgt4P+r2MjISFy5cgVlZWVYsWKFIDK5nJwcHxsVFUVFimPp2XH3f44ULXl/IYG8vDyuXbsm\ntbcnHRCVdMQFIDOXBupFIoyNjeHu7o7WrVujvLwcCQkJ8PT0JMorWeJ9fHzw4MEDHDx4EElJSRCJ\nRFBVVYWpqSl++OEH9OvXT+b6QD0Z2traGmZmZlT72OHDh+Ovv/6Co6MjX88pKCiAv78/Ufy1a9cQ\nHh7O7yFKS0upCOYNe6y0uUNZWRmuXr2KyMhIfPr0Cfb29sSxkvmCiooK0QDYiBEjqI6vKbD08ocN\nG4Zr166huLiY+nkoFotx48YNnD9/nncqLykpgYuLC9G1whIvNFZHRweTJk3C2LFjBdUcgXrBkYkT\nJ0JTUxMfP36kyq8l3XtFIhGxmy8HV1dXxMXF4cWLF+jevTv1Y3lUmAAAIABJREFUIBZLPEuNu02b\nNoiJiZGKJdk/nTx5Eubm5vzv9uvXj/g+xoG1hhYTE4Pt27dDJBLBxsYGSkpKxGTIAQMGYMmSJRgw\nYABSUlKkXEBlQajzCwchA+dTp06lWqMxsPIuWO5nv/32myClaxZ1cA5Cz3E/Pz8oKSkJGrpmGbZo\niUENgO08ZT3HAwMDcfLkSdy6dQv6+vpSwmuysGHDBp78TysawhILCBsyGT9+PEaPHi3FA9u4cSOV\nMI7QtVkdKFn2oy39ml/I5F/wBf8i3rx5g7CwMFy+fBlisRghISFUTThusuv169dQV1fH4MGDpZQC\nG0NdXR2eP38OIyMjmJqaYv78+ViwYAEqKiqI1mSJLyoqQkVFBZYtW8YToEUiEZYtWyZFfJWFnJwc\nnD9/HtHR0ejVqxcxCRBgs4VsWOx2dnamihdKvgTqCUKqqqpwdHSEm5sb/3AjJWZXVFTg5MmTyM/P\nh5WVFVVh6vr164ItRFmmRFkscoH6BkNISAhycnJQV1dHTIpOT0+Hp6cnr1LKfc01YGWhqcSQptD/\n7NkzXLp0CWvXroWHhwfc3NyI4oD6JpoQaGpqYsiQIRgyZIiUKnpOTg5xw0FLS+szwhHNpiYjIwND\nhgxBu3bt+MRFyHlAanvHQbKhZGFhQWSj5uHhAX9/fwwfPhy6urr48OEDhg8f3qj6c2Pw9vbGwoUL\n0bFjR+jp6SEnJwdv374lUu95+/YtbGxs+A2rpAowCZYtW4aFCxfCzMyMX/vGjRtU056urq64desW\nsrOz0bdvX+JGL3dNSYLm+jp69CiOHTsm1WSdNGkSFixYQFyoycrKgr+/P5KTkzFy5Egqgp+Qc0US\nly5dQlhYGObMmYM5c+ZQWbhZW1ujW7duuH//PqytrWFiYkK1Nsuxy8nJISEhAWKxGBs2bICbmxvs\n7OyoGqDc3zg3N5e4aC70uaurqwsXFxe4uLjg9u3bOHXqFEaOHIkxY8bItJvNy8vDypUroampiYiI\nCGhqahKt2RD+/v7Q19dHTk4O/vnnH2hra8u8xn7//Xf89ddfaN++PWxtbREeHk5Nyr548SIUFBRQ\nXV2NoKAgzJs3jyhX4KbUHz58CENDQ35dEqU3a2trWFtb4+PHj7hy5Qo8PDygqamJ8ePHf9awFwLW\nzXFz8azKEMD/U07jsGLFCplq7hw4ZQnapmNTQwIk15aCgsJnChqtW7emambNnDkTNjY2yMrKQteu\nXQWRBYqKivg4TU1NFBYWom3btjIbDzT3zaZQV1eHqqoqyMnJoa6ujqrZwRLLAn19fezdu5f/nmQg\niMuhHBwc4O/vj6NHj/JEAJL8bOXKlQgMDORVhIVCCBGeAytRikW1un379tQKjhEREXBwcJCy8+Rs\nPDn3I1n7fVY3EJZ4obEtoSBZWFhI3XBlUbGVhOS1JQQlJSU4efIkfHx8sGbNGir1fZZBQwCYMWMG\nvvvuO2LSEGdB39g9gGbfJSTPsbCwwKBBg2Bubo7hw4dTk8hb4thfv37NEy/09fWJ3WtevXqFsLAw\niMVinsAPAEeOHJEZu3PnTixduhRhYWGChlO4vR9Qv2/ivqaB5P5LLBZTqdZIQkNDA9nZ2VQx+fn5\nmDBhAk6fPo3Q0FCi5n5zCoxKSkoYMWKEzM/ByMgIqampUirRNApinTp1gpqaGlVMS0GowrdQhyPO\nCdDW1pbpuLW1takslCXBOrimra0tqOkIsLmYsEJSkdvS0pJ3RiSBWCymcvlsCJb3zXp9saChWAoN\n4bglHI6EPvPV1dURGhqKQYMGISkpibrOILTWCwD37t3DyJEjeZU6gO6Z/8MPP8DOzg6GhoZ4+fIl\nnJ2dsXfv3hbZ6zcGzl2uXbt2MDY2xqZNm1BbW0vlDgvUDzuyKvL+V1iyZAlmzJiB6OhoGBgYYO3a\ntc0S+RoTVMnIyEBMTAzx58bV7FJTU6Gmpob+/fvzzjukA2j+/v6IiIgQRECpqqri95zGxsaIjo7+\nPx+rrKwMZWVltGvXjsolQRIhISF49OgRLC0tcefOHap7GkvPTlIxVF9fn0iYQBJz586Fvr6+lEMF\n6XN4/vz51Aqr+fn5n302xsbGxIQf1vi+fftSu6Q1xMSJE3Ht2jXs3LkTXbt2hbW1Nb7//nuZcZz6\nfWFhIUaPHo3OnTsjICAAc+bMIVp327Zt8PPzw4kTJzBkyBDcvHmT6rgTExOlBgAaiis1haioKERF\nRSEnJwfW1tbw9fXlBxdJ0alTJ0RHR+PTp0/8sci6p9G6YjcFIb18ri4ybdq0Rvcwo0aNkvl3s7a2\nxsCBA+Hk5IQBAwbwP09PTyc6BpZ4obFeXl4IDg7GuHHj+PdNSrTlMGbMGHz//fcoLi5G+/btqWrU\nkr2QzZs3w9nZmeo8CA4OxuvXr2Fqaorz588jJSVFZv+opeJZatxFRUVS9QjS/dOHDx+wdu1aFBUV\nYfDgwTA3N4eZmRnVUCtrDe3AgQOIiIiAs7MzFi5ciKlTpxLXKLy8vBAXF4eMjAxMnjyZaoBE0vlF\nTU2NyjUAEDZw3pxgDilYeRcs3CShStct4cYo9BxfuHAhfv/9d9jY2FDfk1RUVKRyA04AiQQssZIQ\n6lDEErto0SJYWFjA3NycyjVMEm3atMG1a9fQrVs3KvI/ayxQ75YpZMhEkt8wZ84cHD16lMppTuja\nrA6UpaWluHnzJkQiEd6/fy+1t5d1fQl1vGwKX8jkX/AF/xJcXFxQVlaGCRMmIDIyEu7u7lREcqCe\nzCdJ+szPz5d5k1q9ejU2btyIkJAQvtheU1ODgIAAojVZ4pOTk3HkyBFkZGTwybS8vDyVUg5QrwLi\n4OCAsLAwqKurU8WyqN1IKk4XFBRQWwWzTKgGBQWhW7duqKurk9pIkUwjA/VqHBYWFkhKSoK2tjZ8\nfHxw7NgxolgWC1GWKVEOqampOHv2LL9ufn5+s+/71q1bCAwMRPv27WFvb4+tW7dCTU0Njo6ORMqZ\n27Zt47+WJDKSKuewFPg5aGlpQU5ODhUVFdQErZCQEJw5c0bqZzRNAklV9E+fPqFLly7EquiBgYFI\nS0tDeno6unfvTk12jY2Npfp9SQixveMg+fkUFBQQKXFxKk6rV69GaWkptLS0qAhHnJpSSkoK8vPz\nMWbMGPTr148oebt+/TrxOo3B0NAQ4eHhuHbtGvLz89G7d28sWrSI6n66detW5ObmIiMjA8rKyti/\nfz9RwVvy+pIE6fWlqKj4WWFDXV2dqsBUV1eH4uJiyMnJoaysjIoIKORckQS3aeX+zjQN16NHj+LS\npUvo06cPDh48iLFjx1IVxliOPSQkBMHBwfD19cXx48fh7u4OOzs74vjVq1dj1apVyMjIwJIlS7Bu\n3TqiONbnLgCYmZnBzMwMxcXFRCrUtra2UFZWxtChQ+Hn5yf1fzSNg0ePHsHHxwdOTk4IDQ0lKvIH\nBwejS5cukJeXx7FjxxAWFsb/HykZ7+jRo/j999+xdOlSxMXFYe7cuUTniaKiIm7cuIFz587B2toa\nQL0FKU1xTENDAw4ODjAwMMAff/yBlStXMg+G/V9GWFgY9uzZg9LSUp6MJhaLqVSThSpLtG3btlF3\nCxJSgkgkQnl5uVTxr6ysDHV1dcTH3djgFC1pt1evXli6dCn69euH1NRUmJiYICoqSubz287ODidP\nnkR6ejq6desmiOT8448/YvLkySguLoaDgwMV8ZMllgXbtm3DiRMnqFTHJP9/yJAheP78OZ4/fw6A\n7DxLTU3Fr7/+iujoaLx7907q/2jU4BsS4WnASpSSfJ+lpaXQ09OTqaTJ5ZSFhYWYNGkSDA0NAdQX\n2GQ9Bzg11sbsPGtra7Fu3TqZpBYrKyup4cKXL1+iR48exA13lnihsZyCZEBAgCCyLACcOnUK9vb2\nTEqWQqGgoICAgABkZGSgW7duxMOhHLj3/OnTJ6iqqlIVY1kGDYH6e6KVlRUcHByI6hrbt28HwD64\nLSTPiYmJwf3793H37l14eHigpqaGb14OGjToXz32V69e4fDhw1BUVMSTJ0/Qq1cvPHr0iLi2UVtb\ni8TERJSUlKCoqAgZGRlQV1eXUpBpCl27dsXs2bPx999/w9LSkvrYhwwZQh3TEJKKTAUFBXjz5g1x\nLEeGEIvFKC4upq7f1dTU4K+//oKBgQGKi4tRXl4uM4Zzamlsj1hTU4OgoCCZZPKkpCTExcXx39OQ\nGYB6gvXo0aN5UQIatbWGORotWBS+hTgccXk752gnOaxOQ+j++uuvsX//fql6K2mjODQ0FB8/fsTb\nt2+hp6dHbcesqqqKefPmSRGjSXMVFhcTVsTFxeH48eM8SQoA8WduZGSEBw8eSNXdaOoLLO+b9fpi\nQU5OjhSx7PLly8Rk2ZZwOBL6zA8KCsLu3bsREhICfX194j5MSwxSkQ5ONQUHBweMGjUKWVlZ6NKl\nC7S0tD7rTzQH2t6Vl5cXxGIxysvLkZubi5EjR6Jjx45YtWoV1T1p5MiRUn8fdXV1XLhwgTi+KbA4\np5HGVlZWYuTIkThy5Ag2b96MW7duNfv7x44dQ5s2bWBra4sOHToIOkaO+D1v3jwp0Q0aIQoXFxde\nVZAUXN1PS0sLly9fxsCBA/Hw4UMi0ul/FdsYaD/z2NhYWFlZ4erVqwD+nxPM69evidVCWXp2ks4z\nBQUFxEJjHDQ0NLBp0yaqGA5C6mAqKio4f/48zM3NeSerhIQEYvIja3xLwNTUFF27doWxsTGOHTsG\nX19fIjJ5VlYWzp49i+rqakyZMgVKSko4evQo9PX1idbV1dVF//79ceLECUyePBnnzp0jiouMjMT1\n69fx999/486dOwDq64lpaWlEZPKlS5eiR48eMDY2RlpamhQhnbS+7unpCXNzc9659H8JIb385pw1\nampqsGzZMpn7Zm9vb6nzIioqCuPGjSOuubLEC43l/p5ubm6CibNOTk6f5VSkz3zJXkh8fDxxL4RD\nUlISv8+bM2cOHB0dyQ+cMZ6lxi10/+Tq6gpXV1dUV1fj/v37SEpKwuHDhyEvL080LA+w19AUFBSg\noqICOTk5yMvLE4kpNXRQad++PUpLS3H+/HnioTc3Nzc4Ojpi+vTpgkiU/9XAOSvvQqgwHCBc6ZpF\n3IVDaGgoSkpKeMc20npxZWUlRo0ahSFDhsDc3BzDhg0TLBh28OBBQXU8llgFBQX07t2b7zE+ePCA\nqGbKEjtnzhz8/fff8PLyQllZGV+rHTx4MPH5XlRUJCX6QlNPYokF6p9fQodMOAjd4wlZm9WBsnfv\n3oiMjARQ32OV7AHKyqnv3bvH/05paSn/Nec+RosvZPIv+IJ/EQoKCqisrIRIJBKUuEiSPisrK6Gn\npyeT9GliYvIZ2XXChAnEpDCW+DFjxmDMmDG4fv063xwSgjNnziA/Px8fPnzA+/fviQqRHFhsISUV\nwlRUVKimUwFhE6q5ublwd3fHvn37ANRv4EJDQ7Fjxw4qe8rS0lJMnToVFy9ehKmpKUQiEXEsi4Uo\ny5Qoh/Xr18PZ2RnR0dHo2bOnTGuarVu3YseOHXj//j1+/PFHxMTEQENDA05OTkRk8sGDB1MfY2No\nWLTW0NBo1DKyMfTu3RsHDx6Erq4uPDw8UFlZSbxuXFwcrl+/LnhDw6qKHhkZiT59+uDQoUPUZNcX\nL15g3bp1+PDhA+zt7WFoaAgrKyui2Ia2d9988w3xupKJlrKyMlFTp6ysDOvWrYOvry90dHTw559/\n4vr169iwYQMxKTsiIgJTpkyBoqIikpOTceLECaKCgeTa6urqgtbW0NAg3mQ3hpSUFISFhcHJyQmT\nJk0iJjixXl9NPStp7mkeHh6YMWMGCgoKMG3aNKxatYo4Vsi5Ionx48dj5syZyMnJwc8//0w1VMSR\njRQVFVFTU4Pp06dTXV8sx66qqsortOro6FDnLD179pRqVJCC9bkriXbt2hErIbYERCIRHj9+jM6d\nO6O6upqIONMSDXiuud26dWvehpoEPj4+2Lp1K7S1tTF9+nQkJiYiKCioyQGQhnj27BkiIyORkJCA\nXr16wcHB4TPrWqFgada2RHxTmDlzJmbOnIm9e/fCxcVF0GsIVZZYsWIFFixYgCFDhkBPTw9v3rzB\n7du3sWfPHqLjdnV1xbJly9ClSxe8ffsWmzdvxqxZs4iPm1OcEovFePLkCZFKdkMsXboUSUlJyMjI\ngL29PUaMGIGXL1/KfO6vXbsWbdq0wbBhw3D37l2sXr2aWAmeQ9u2bREeHo7Xr19TFSNZY7mBoqa+\nbw6xsbHUqmOshdv9+/cjJSUFcXFxVIXmhhBC6ObASpSSJNm8ffu2UdW+hiAdcGsMnEKjnZ0dr+TH\nEWcmTZoEXV3dJmPT0tKQl5eHP/74Azo6OhCLxairq8PWrVtx4cIFmW4gLPGsa3PN3dWrV1OrzHGo\nrq7GxIkTpUgFrOpvpFi9ejVmzJiBQYMG4e7du/Dx8SFuogH1Cl47d+6EsbExHB0dqUgJLIOGAHDh\nwgVcv34dmzZtQlVVFSZPnkxkHS5U+ZiDkDxHWVmZd8IqLi7G3bt3cfToUZw6dYonKJBAyLHv27cP\njx8/Rrdu3fD8+XPo6elhw4YNxAqOvr6+2LlzJ3r16oW1a9fCyckJbdu2JVb5YVGj+ueff1BZWQk7\nOzu+7kWb23CKTGKxmCfdkkKSDKGiokJN5nB2dkZUVBS8vb0RGhrKkyyaA6ew37NnT9y4cUPqXjp/\n/ny0bdtW5mtwgzslJSVSarykYMljDx06xFvD29vbUw1nAsIUvlkcjgYPHoyKigpmYYSamhpkZmZK\nDQSTkpOjo6OxZ88e1NXV8ecrybnCgbRu1BgCAwORmZmJrKwsGBkZNfusbgzz58+Hg4MDrKysqIbc\ngXrb8JUrVwoiSd29e1dKaICW0M3yvlmvr4MHD2LSpEmCBshYiGUt4XAk5JmfkZEBfX19eHl5ISsr\nC5WVlcSEho0bNwJgGwJjqbWyxgsRLHnz5g1OnDiBuro6jBs3DkuWLAHQvMJhY7hy5QqA+mfm48eP\n+e9ZwaJuTxpbU1ODI0eOoHfv3khPT5caOGkMN27cQGJiIiIjI/H06VNYW1tjzJgx1IM5AFBcXIwP\nHz6gTZs2KCkpQWlpKXFsmzZtEBMTI5XPy9pHStb9wsPDcfz4ceJ98n8Vy6Exd1sOsvYx3Ocqy2W6\nOTTs2X38+JE4VnJdZWVl4tofh+HDh+P48eNSYgqkRCchdbAtW7Zg165dOHr0KMrKyqCurg5TU1Ni\n1zPW+JaAvb09FBQUYGdnhw0bNhC7NHG9HmVlZYhEIhw6dIgoF+agpKSEpKQkqeFYEpibm0NHRwel\npaX8gIO8vDyx+zMNCawpqKqqUrtStBSE9PK53KS2thZXrlyREkfz8/PDrl27moyNjY3FvXv3cOnS\nJTx48ABAvSDS9evXiVT/WeJZ1+YQEREheN/L7cvFYjH++ecfKQ6HLAjthXCora2FSCSCvLw89XOA\nNZ6lxs2yf6qursadO3eQkJCAx48fQ1NTE9999x3xcbPW0Pr164fly5cjLy8Pfn5+RErAq1evRqdO\nnWBlZQUVFRVB/Z4FCxbg7Nmz2Lp1K0aNGoUpU6YQk6MBtoFzFrDyLoQIw2VmZvLD6Sxq7iw9gcuX\nL2Pbtm3Q19fHixcv4OrqSnSPCQ0N5Ycl7t69i4iICIhEIgwePBiLFi2iOv7/xRBpQ7i6uqKkpAQd\nO3bk7ymkOZbQ2MGDB/PcjerqaiQkJGD37t1YvHgx7t+/T7S2UPI/S2xdXR3q6uqwdOlShISE4Lvv\nvoNIJMLs2bOp8xBJR45/e+2GDpRjxowBQK4U7uTkRK2gzuHx48eC4prCFzL5F3zBv4S9e/fi3bt3\nOHPmDBwcHFBRUYGEhAQMHz6cWCWVhfTZEKwW7TTx2tra8PX1lWoISSoeyAKLcrKlpSWcnZ2J15IE\na2NFyITqunXr4OzszBeZ7ezsoKioiHXr1lEr/HF2hbm5uVQNjoYWoqRN/ZMnT2LKlCkYMWIE1NXV\n8eLFC6rj5aClpYXx48fj5s2bWLx4sUyyk5qaGm8Na2JiwitcClXJEwqWovXSpUtRXl4OFRUVJCQk\noE+fPsSxvXr1QlVVlWAyOYsqemRkJBPZdePGjQgMDMTq1asxdepUODs7y2xQNEXQz8zMJCZLCyFb\nrVu3Dt9++y1fmB87dizy8/Oxfv16IgXNHTt24MWLF7C3t4eioiI6dOiAw4cPo7i4WOaGhnXtlkBd\nXR2qqqogJyeHuro65mcIKRoW54H6a4y7vzWHkJAQeHh44P3794iOjkZxcTF/vpOClZg3a9YsmJmZ\n8aoWRkZGxLFisZhXv1dSUoKSkhLV2iwT7Orq6nB2dsa0adMQFhZGfW/YuXMnwsLCpJ49JM3QlnB6\noEXDgYeysjKcO3cOx48fR1RUFPHrTJgwAb6+vggICEBQUBCRstDXX3+NmJgYjBo1CmVlZdi1axeU\nlZWJbf4AQE9PD9OmTcPKlSuxc+dO4nOsU6dOUs0jc3NzYttqW1tb/t/NmzfzpMOsrCwmAioHVity\n1nhZ+Oqrrz57FtE8f4Rcl507d8bp06cRFxeH7Oxs9OnTBx4eHkRkhrFjx0JDQwM7duxAdnY2OnTo\nACcnJypCgeS5YWFhQaVWxoGzNpZUvWlMzbkhXr9+zav2jxo1ShDxd8eOHQgLC6PKr1oidu7cufjj\njz+a/L45sKiOCYWenh709PQwZMgQlJWV8Uo5tAooQgjdHDiiFEeCZFG+/Prrr/Hy5UuZv8c9B/Ly\n8vDx40fIy8vjwIEDcHJyIl7L1dUVNTU1yM/PR11dHXR1dTF+/PhmFUk+fPiAqKgoFBUV8eoScnJy\nxNbbLPGsa3No1aoVAgICpAgkpMp6y5Yto1qLQ2xsLFRUVKQaX9yzlBRVVVX8vWjUqFHE1yUHSQtQ\nS0tLdO3alTiWZdAQqCcV2NjYQFtbG0ePHsWePXuIyOQsyseAsDzn8ePHiI+PR0JCAoD6ptKKFSuo\n76dCjt3ExAQmJiZ8jlVXV0dcQwLqyc07d+5ESUkJysrKcOnSJWhpaVEdd0OQqldfvHgRaWlpuHjx\nIvbv349BgwbB3t6e6jwT4mzV3L2ahtRhbW0NQ0NDPH/+HNOmTaMSRXB1dUWPHj2QlpYGFRUVnhzd\nu3dvmbFJSUnw9fXlm+udOnWiImgrKioiKCgIxcXFsLGxgZGREb7++mui2JCQELx//x6RkZFwc3ND\nu3bt4OjoSKwyL0Thm8XhKCYmBps3b8ZXX33F7wE4Qj8JamtroaioSDyc0Rj++OMPnDp1CvPmzcPC\nhQsxZcoUKjK5nZ0dzp07h5ycHAwdOpR3FSHBsWPHcPXqVbx//x6TJk3C69evpUiGsrBixQqcOXMG\nO3bswPDhw+Hg4MDXJGVBU1NT8MA9ietWc2B536zXV6tWrbBo0SLo6OhgypQpsLCwIK7LsBDLWM4T\nDg2f+bL+1tHR0di6dStOnz4NDQ0NFBYWYuXKlVi+fDnRM3/KlClo3749hg8fDgsLC0F7ECG11paK\nF9K74urZCgoKUs8MGhEJydcB6skBJG6KJGiuZpuamgo/Pz+oqKjA09MTAwcO5GN27dpFTGDx8vJC\nTEwMFixYgIsXL8LHx6fZ31dUVISVlRWsrKxQXl6Oq1evwtPTE2pqatTDUS4uLpg4cSI0NTXx8eNH\nrFmzhiiurKwM2dnZUmQyEhEnybofLYnkv4rl0JS7LQkmTZoEoD7XKSoqkhqSlIXa2lpcv34d48eP\nR5cuXWBjY4PDhw8TPXs4x8fJkydTHW9DJCcno7q6GklJSQBARXQSMsxUXV2N1atXN/n/eXl5zeaY\nrPEcysrK8ObNG3Tp0oVa1Xz+/PlITExEfHw88vLyMHz4cOK6K4f27dtTEcmBepLuy5cvsWDBAvz2\n229YsGABUZympiYMDQ15t4G4uDgoKysT5/JcfuPn5yeVX6xYsUJm7sMNJmpra+PPP/9E7969qV3G\nnz17Bh8fH+Tm5kJHRwf+/v5EewgOLGrTnp6eGD16NO7duwddXV1e+b+5z87Y2BilpaVQUVHh36Oc\nnBzGjx9PtCZLPOvaHCQFAriBeVIugWQ9WF9fH6dPnyZeV2gvhMO4ceMwY8YM9O3bFw8fPqQi0LPG\ns9S4he6fXFxc8O7dOwwaNAjm5uZYtmwZNXdCaA3N3d0d27Ztw/LlyxEbGwsDAwP06NEDo0ePlhmb\nkJCAS5cuIS4uDh07doSdnR21i9s333yDb775Bu/fv8f69ethbW1NRawUMnAuKzckASvvQogw3IoV\nKxAREQE3Nzfi42wMLD2Bw4cP4+zZs2jdujXKysowZ84c4oEVZWVl9O7dG+/fv0d5eTn1kAoHDw8P\n6hjW2KKiIsFDCkJjRSIR7t27h9jYWNy+fRvq6uoYMWIEVV1EKPmfJfbMmTPYu3cvCgsLeXK2vLw8\nFTGcy1Pc3d0B1J/7JEM9LGsLqdFKYtOmTYKH9qqrq3H8+HHMnj0b+fn58Pf3h7KyMry8vKCjo0P9\nel/I5F/wBf8iOnbsCFdXVyxatAiJiYk4ffo01q5dK2UV2RxYSJ//JdauXYsff/wRV69ehYGBgUx1\nhYZgIdEnJCTgp59+oiJTN1SYlgQNmUHIhGp5eflnxeWxY8dSPyRWr16NVatWISMjA0uWLMG6deuI\nYysqKnDy5Enk5+fDysqKiMDYFFG2qKiIuugvLy+PFy9e4NOnT3j58qVMqw3Jz5UjXgL/njJpU2Ap\nWufl5Uk1Lt++fUusumNoaIjhw4dDW1tbEOmGRRWdlewK1NuAy8nJoV27dkQKKpIk4kuXLmH8+PHE\n15dkQ/b9+/dSykCyiK45OTlSxRBFRUXMmzePmDCTkJCAU6dO8cfZuXNnhISEYPr06TKbC6xrc3j5\n8iURca8xzJkzB5MnT0ZxcTEcHByIFJ9bYu2mlFJICi2nvvmoAAAgAElEQVSXL1+Grq4uQkNDUVRU\nJPV/sj47lnNFEpmZmdiyZQsyMzPRs2dPeHl5EZMSBgwYgCVLlmDAgAFISUkhduTgwDLB/ttvvyEr\nKwsGBgZIS0ujVsqLjY1FbGwscWGqpZ67LEhPT8exY8dw5coVWFtbU9u3cqrVAGQ2/jhs2bIFr1+/\nhpWVFfz8/KCmpoavvvoK69evJ1alCAwMRHl5OVq3bo1vv/2W+Nkxd+5cPrc4c+YMlWobl4Pevn0b\nt2/f5n9Oa0fWFGTdE1uqYSsUHDlVLBbj6dOnaNu2LTGZnOW6VFFR4afWaTF8+HBipcjGIHnfKygo\nQGFhIfVrCLE2BuoL1p8+fYKamhoqKytRV1dHvTaLxT1LbMPiOg1hlcUpiBUxMTH4888/0bdvXxw8\neJBaAUUSpIRuDvPmzWNS9F26dCn/PMnPz+eHTEng6ekJV1dXhIeHY8yYMQgICCAeciopKcHJkyfh\n4+ODNWvW4KeffpIZM3DgQAwcOBD//PMPVZOzJeJZ1+bA5SYN86zmUFBQgEOHDqFVq1aYN28eVVN+\n/fr1+PjxI2pra3H48GHs3LkTysrKOHr0KBUpu66uDs+fP4eRkRGeP39OrUTFotjJMmgI1BN+r1y5\ngl69esHJyYmYxCFE+VgSknnO3Llz0bFjR5kxDg4OGDt2LIKDg9G5c2fBaws59ocPH8LPzw8ikYhv\nRInFYqxbt44op5aMb9WqFSoqKiASiYjjG8OVK1eIyORAvUI3N3CRlJSE4OBg5ObmyiTEN2YXzkFW\njiaZQx4+fJh6v8eBhbAqFovh5+eHlStXwt/fn2rAZdu2bTh27BgWL14MFxcXzJgxg+q84e7du3fv\nxsCBA+Ht7U01gFBYWIicnByUlJRAX18f0dHRiIiIIBr+FqLwzbJH4gam37x5g7t37+LIkSPIyspC\n165didysvLy8EBwczCviAaCuRSkoKEBZWZknnpCqqnNYt24ddHV1cevWLXz77bfw8vLC77//ThTL\nOYDNmTMHc+bMoVav1tfXx4oVK1BcXAx/f3+MHz8egwYNwpIlS5q8P3CuXUpKSlizZo0USUpWbYJr\ndk6bNu2z65umcczyvlmvrxkzZmDGjBl48eIF9u7di3Xr1mHKlCmYPXt2k4rdLUEsYzlPODS8ryop\nKaFDhw5YsGBBo8+2Q4cO4eTJk9DQ0AAAmJqaIjw8HAsWLCDKVa5evcpfm+Hh4fD19UW3bt1gbm5O\n5TZIW2ttqXghvavS0lLcuHEDYrEY79+/l/qaBsHBwfzfqqCggFgEo6GARcPXbA6bNm1CcHAwamtr\nsWLFCnh6emL48OHEe7fc3Fx06NABWlpacHBwQFFREYYNG0YUy+Gff/7BvXv3kJOTQx0L1DsLf//9\n9ygoKIC2tjZRbf/YsWM4dOgQFBQU4ObmBgsLC+p1/wsCCmtsS7jb+vr6Ij4+Hrq6uvyzU9a9fNmy\nZVBQUEBhYSFGjx6Nzp0786QQWfDw8OAHtTMyMmBgYEC8riQqKipw+PBh4t+XhJDc8MCBA1BUVISd\nnR169uwJRUVFXsH4woULEIlEzQ4+sMYD9bn73r17Bbuo2NrawtraGnfu3MH+/fsRFRWFxMREmXEs\nCvhAPYH55cuXSElJ4WtZJPjzzz+xfft2REVFYd++fUhMTIS2tjZSU1OJ3ndYWBj27NmD0tJS/PXX\nX/zP9fX1ZcauXbuWP09PnTqFDx8+QEFBAerq6sR1Zn9/f/j7+8PY2BhPnz6Fr68v1TnOojbdqlUr\nzJ8/H69evUJgYCDRHkZHRweTJk3C2LFjBYk2scSzrs1BqEAAAClH24KCAp6ATwKhvRAOc+fOxfDh\nw/Hy5UtMnTqV2DWgJeJZatxC90+1tbVQU1ND69atoa6uLtOJsDEIraEVFxfzX3NDcKRo164dnJyc\n4OTkhKysLFy8eBH79u1D7969m83dJJGcnIyzZ8/i0aNHsLGxoXZBPnfu3Gc/k8V3Yc0NAXbehRBh\nOD09PZiZmeHjx4+f1SKEOibR9gTk5OT4fQfNuXro0CHEx8fj48ePMDMzw4gRI+Dp6Un1uaWlpWH9\n+vWC6rwssUD93pZ0yK2lYs3MzDB06FDY2tpiwYIFvCsKDVjI/0JjHR0d4ejoiNOnT2Pq1Kn8z0nu\npSx5CuvatbW1OHfuHBwcHODp6YmCggLIyclhw4YN6NKlC9H6QuHn54fWrVtDJBJh/fr1+Pbbb2Fo\naIj169cLGhz5Qib/gi/4l7Fp0yZ4e3vDwsICFhYWVI3XhqRPGlJ2QEAAHB0dpazIaMASz5Fs/v77\nb3h4eMhUmm4IFhJ9SUkJzM3N0blzZz7JlrWJlFSYnjdvHj+NTQshE6pNEaBpidE9e/bEnj17kJWV\nhW7dulFNsK9atQoWFhZISkqCtrY2fHx8cOzYsWZjmiPK0pLJvb298eLFCzg5OWHZsmUyGxz//PMP\npk+fzhdYuK9JlItbEpJF6/z8fKqNOEvjMioqCteuXaO2UuYwceJE6OrqQlVVlVoVnZXsqqmpiRMn\nTuDTp0+4dOkS0XuQ3CimpqYSE7oA6U2Pk5MTlQqy5KCCJEg3JK1atfpsk62kpETUlGFdm4OPjw/R\nFHJjGDt2LL777ju8fv2aWrmFZW2WQv2WLVuQmJiI6upqahtRlnNFEl5eXli0aBFMTU2RkpLC272T\nYOHChUhJSUFGRgYmT56MESNGUK3NMsH+7t07XLt2jX8ecvaMpGjfvn2T521jYH3uNiSjKyoqora2\nFsrKyjJt1KKjoxEWFoaamhpMnjwZmZmZVO91yZIl2L59e6OED1mFluTkZJw4cQK1tbWIj49HXFwc\n1NTUMGPGDJnr7t69GwsXLpQiTnIgaS5I5hUXLlygIhOwKsizNGuBlinKsUDy+MViMZWSPKuyxH8F\nSYtxZWVlIqJRQwixNgaA2bNnY8KECTA0NER6ejpve06Dhuc3TVNISCynvMKC5cuXo6ysjMopSJKE\n1hA0rgGRkZEIDw8XfJ6yELpZbHKB+v0Xl0+qqKjgm2++IY7l1NX27t0LW1tbKhIhNzz16dMnqKqq\nEp0nHDnMz89PEDmMJZ51bQ6urq6Ii4vjidEkJClvb2+MGjUK79+/R1BQENXQc1paGsLDwwHUP4vc\n3d2xe/du6r3ymjVrsGrVKhQUFEBXVxcbN26kimdR7GQZNATq90/h4eHUez8hyseSOHDgANq0aYMP\nHz7g7NmzMDc3x8qVK5uNCQ8PR0JCApYtW4bWrVvzCsikhXqWYw8MDMSOHTukSO85OTlwc3NDRESE\nzDVZ4xvD8uXLqX6/rKwMV69eRWRkJD59+kSkQC9pF+7t7Y1ff/2VeD3JYd1Lly4JcgLhYoUSVhUU\nFPgGO9f4JIW8vDzatm0LOTk5qKioUJMnKysrYWZmhj179qBHjx5UTXYHBweoqqrC0dERbm5uvNCA\nrGcni8I3zX2jKVRVVfHKXRxhhwRcTsKirjRgwAB4enoiLy8Pa9euJR604JCVlQV/f38kJydj5MiR\nVO6XHEGIu5/QuvzFx8fj3LlzyMjIwIQJE7Bq1SrU1tbi559/blI9nKtH9O3bFwCoBjM5AheryjLL\n+2a9vj58+IBLly7hwoUL0NDQgI+PD+rq6jB//vwm8w5JoqFkTkYzwMxynnDo3LkzTE1NMWDAAKSm\npiI2Nhb9+vWDj4+PlCIzB2Vl5c9q8O3bt6e6p3Tu3BmdO3eGkZER7t27hytXruDIkSPEZHIhtdaW\nihfSu+rduze/3+zVq5fU1zTo2rUrLyZkbGxMrABsY2ODkJAQrF+/nmo9oL4uy+2z9u/fj7lz50JH\nR4d4v/nHH39g5cqVUkRKQPZ5/vDhQ1y6dAm3bt1Cv379MH78ePj6+lIPSALCnAciIyNx5coVlJWV\nYcWKFYLI5P8FAYU1tiXw4MEDxMTEUPWNsrKycPbsWVRXV2PKlClQUlLC0aNHiXJqScImS33b0NAQ\nly5dksrHSWsMQnJDHx8fPHjwAAcPHkRSUhJEIhFUVVVhamqKH374Af369ftX44H6c4XFRcXFxQU5\nOTkYPnw4PDw8iPtmLAr4QH2+kJubi4yMDCgrK2P//v1EOURYWBguXLgAJSUlnDhxAmfPnoW2tjam\nT59O9L654eO9e/fCxcWF6pi9vb2xatUqREREIC4uDuvWrUObNm2oxUI4px0TExOqvgTApjYtJyeH\ngoIClJeXo6KigogYzQ1njhs3TtBwJks869ocevXqhV27diEjIwPdunWjuj4ke3XKyspUNdRbt26h\ntrYWYrEYGzZsgJubG+zs7GTGRUREwMHBQaqP/+TJEwBkoiGs8QBbjXvAgAFYunQp9f7pwIEDqKys\nxO3btxEZGQl/f3907doVlpaWxLml0BpadnZ2k/cfmr6+vLw8lJSUUFZWhtevXxPHHTlyBI6OjvD3\n9xeUI3GDCmKxGE+ePCFyzWHNDQF23oUQYTju7+Tr60tVp20Ilp6Anp4eNm3ahIEDByI5OZmYZLt7\n926Ym5tj/vz5GDRokCDRQ39/f8F1XpZYALh37x6srKykOBekBH6hsXPnzsWNGzcQGhqKjIwMWFpa\nUu+9hJL/WWMB4ObNm7C1tYWamhrevHmDZcuWyexnsOQprGtv3ryZz/1zcnLg7++Pv//+G7t37yYS\ntbt3716TdXBZf+/09HScOHECVVVVSElJwfbt26GkpCSY+/iFTP4FX/AvIz09HR8+fOALcTQP0qVL\nl6KsrEww6TMoKAjl5eWYPHkyxo0bR2VlwxKvoKCAjIwMfPr0CVlZWdTKEizKyXv37qVaC5AuqMvL\ny1M3FjgImVDt06cPjh49KqUsEBoaSq1YFhYWhqNHj8LAwADp6elYuHAhcWGstLQUU6dOxcWLF2Fq\nakqUILMQZRsiNTWVL1qePXtWZpOA1eq1pSCpukxTtAbYGpedOnWCmpqa4PNUkuQ7cuRIqlgvLy/E\nxcUJJrsGBARg79690NLSwuPHj+Hv708VL2QDKDS2S5cuiImJkSLJXLt2jdgGRlVVFdnZ2dDT0+N/\nlp2dTXQcrGtzaNWqFQICAqTUVWWpYDVGVOVAalsndG1W9OnTB3369IG5uTl69Ogh2JaS5TxTU1OD\npaUlAGDEiBFUqrS//PILjh8/Tn1dcWCZYG/KnlEWuPOlsLAQkyZNgqGhIf/5NXe+sD53r1y5ArFY\nDF9fX0yfPh19+vTBkydPeMJZc/Dy8sLs2bPx008/QUtLS2oqmQTbt28HIGxCn3tGPnz4EIaGhryi\nRE1NjcxY7n4tlOjDcl6zqF4CbM1aoGWKciyorq7mvy4oKMCbN2+IY1vC0eO/gKamJry9vZleIzAw\nEGlpaUhPT0f37t1hYmJCFGdvbw8LCwvehlpLS4t67UePHn1ms0taMBcSK6m8IhQuLi58fubk5EQU\n05S6F61rAOt5ykLolrTJ5fIFmnzj4MGDggfnamtrERQUhIEDB+LOnTtE92IO1tbW2LlzJ4yNjeHo\n6EiUa3CNtoCAAGqLWdZ41rU5BAcH4/Xr1zA1NcX58+eRkpIiU+mnpqaGH5qiVT6ura1FdXU1lJWV\n4eTkhJycHCoiOKf+aGJigjNnzlCt3RBCFTtZBg0B4Pvvv8fJkydRVVXF/4xkeFuI8rEk/vrrLxw7\ndgzOzs6Iiooiui/1798f/fv3h5ubG4qKipCYmIi1a9ciNzeXqkkt5Nhra2s/U0/v2LEjca7AEl9S\nUoLdu3fj9u3bKCsrg4aGBgYOHAhXV1ei+l9UVBSioqKQk5MDa2tr+Pr6Eiu7S9Yk1NTUBLtSseRU\nLITVmTNn4vDhwxg2bBgsLS2prGq7dOmC4OBglJaWYv/+/ejUqRPVcauoqCAxMREikQipqalUx21p\nadnodXjw4MFm41pC4VsINmzYgLt37+Lrr7+GhYUFli9fLlWnIMWJEyc+ux9FRUURxS5duhQJCQkw\nMTGBvr4+VbMVqFd/Ki4uhpycHMrKyqhIeePHj8fMmTORk5ODn3/+mcrZAqivQc6YMeMzm/XFixc3\nGcOdH69fv8ajR48wfvx4bNmyhWgvx5EYioqKcOnSJanPm2Y/xfK+Wa+vqVOnwt7eHlu3bpWKbc56\nnHs2VlVVISMjA7169UJMTAxfXyEBy3nCIScnh1fz79GjB/788084ODjgwoULjf6+nJwcKisrpfKr\nT58+EeeV0dHRiI+PR2pqKnr27AkLCwuEhIRAV1eX+JhZa60s8UuXLkV5eTlUVFSQkJDAD1A0B+7z\nZUVUVJSgpvjo0aNx9+5dFBUVYezYsVSxrVu3xtGjRzF9+nTo6Ohgy5YtcHd3l6oZNAduMC80NBQl\nJSX8nleWgIejoyP09fVhbm4OJSUl3Lx5Ezdv3gRAR84ChDkPKCsrQ1lZGe3ataPaM0nivyKgsJJX\nWNG1a1dUVVVROXJww17KysoQiUQ4dOgQlXAUB5b8rqEwAE2NQWhu2LdvX6paQEvHs7qouLu746uv\nvuKva9LPn1UBPyUlBWFhYXBycsKkSZOI6yMqKipo1aoV0tPT0a5dO/65Q/vsjI+PpyZpbd68Gb/+\n+itPKj5w4AC6du0KZ2dnfP/990SvIS8vj9jYWAwcOBBJSUnUvQUWtWlXV1dcvXoVEyZMwKhRo4j6\n8Ny56ebmJmighSWedW0Oq1atwqBBg2Bvb4+7d+/C29ubmI+RmZkp+PoMCQlBcHAwfH19cfz4cbi7\nuxORyTt06AAAn+2RSa9N1niArcbN7Z969epFvX9SVVWFlZUVvv76a344aOfOnTLr26w1NFVVVSpx\nE0kUFBTg8uXLuHz5Mlq1agVbW1scOnSISkH5t99+w+PHj5GcnMz/jNTdD/i87+bs7CwzhjU3BNh5\nF5wwXFZWFvV55unpiW3btiEvLw9WVlYwMjJC165dZcZxwjqSnxltTyAwMBAnT57ErVu3oK+vT6xA\nf/v2bSQnJyMhIQFbt26Fjo4OLCwsYGlpSbVvZXF2YomNjo6m+v2WiJ0/fz7mz5+Pjx8/4saNGzh2\n7BhevHgBAwMD4r2ZUPI/ayxQXxOeNWsW7OzscO7cOaxatYo4Vkiewrr2s2fP+LxZUVERPXr0QI8e\nPXD69GmiNfv37y94IJQ7H+/du4dvv/2W7/NJ1pVo8IVM/gVf8C8jIyMDQ4YMQbt27fgkUxYBaefO\nnY3+/MmTJ8Sqz2PGjMGYMWOQn5+PwMBABAQESCVQ/2b8ihUr8OzZM8yaNQuurq5UtowAm3KyoqIi\ngoKCUFxcDBsbGxgZGbWIgk9z4JTegPompI2NDXGsh4cH/P39MXz4cOjq6uL9+/dEql8NERERgYsX\nL0JFRQWfPn3CrFmzqDaGnKp3bm4ur+rRHFiIshwiIyNx/fp1/P3337hz5w4AQCQSIS0trVnbvn/7\n70mK7t274+HDh5g9ezY8PT3RrVs34kk+lsZlbm4uRo8ezX/2tDaFQki+nCIuUD+BLpTsqq6ujr59\n+6JNmzYwNDQUVAj9X8HLywtLly7Frl270LlzZ7x79w7t2rXD5s2bieKXLVuGhQsXwszMDHp6esjJ\nycGNGzeI1OJY1+bATTDTOGIIJaq2xNothZycHKxdu1awLSULOnbsiN27d2Po0KH4559/oKyszD/z\nZZFgNDU1ceTIEalrk4b0wzLBLsSeEWi584UW3D0zOzubzxF69erVrEovh7/++gtnz57FzJkz0bNn\nT5SUlAg6hufPn2PVqlXIy8uDtrY2AgICZD4DFBUVcePGDZw7dw7W1tYA6lWhSJS/OLUVoSognz59\nwqtXryASiVBZWYlXr17xKliyinwsqpcAW7MWaJmiHAu4+4hYLIaqqiqVYjOrskReXt5neS1Jg57D\n7du3kZWVhb59+6J79+7EjdOGw7BCEBoaisjISPTp0weHDh3C2LFjm/3sONV/oF69i4Y4woHFvo4l\ntiWUV4Q8A5oqKtFeG6znKQuhm8UmF2B7dgYGBuLmzZtwcHBATEwM1b1t5syZ/NeWlpbo1q2bzBiO\nHLZ69WpBnxdLPOvaHJKSkvh9x5w5c+Do6CgzRnJ/SDK0LInZs2dj/PjxOHHiBNq1a4cVK1ZgzZo1\nSElJIYpfsWIFX7zdt28flbOEJFgUO1kGDYH6Bo2ZmdlnRGdZYCVqycvLo7CwkD93SIrOYrEYT58+\nRXJyMpKTk/Hq1SsYGRnJJCg1hJBjt7S0xI8//ohhw4ZBQ0MD5eXluHHjBrFyJku8t7c3JkyYADc3\nN7Ru3Rrl5eWIj4+Hp6cnDh8+LDN+6dKl6NGjB4yNjZGWloaQkBD+/1gIMf8rsBBWx4wZw389duxY\nqkaxr68vIiIiMGDAALRq1QobNmygOu4NGzbg119/RUlJCQ4dOkRF0r1z5w61Ix/QMgrfQnD79m10\n6dIF33//PSwsLATZKQP1Q6T79++HpqYmdWxeXh46deqEzp0748CBAzxJgRTu7u6YMWMGCgoKMG3a\nNKrm4axZs2BmZoa0tDR0796d31eRori4+DMiOVC/x5EFLy8vfkDT0tKySXXrpmJ//vlnwfk4y/tm\nvb6srKwavUY8PDxkxi5fvpxXSsvMzMTly5eJ74Us5wmHmpoaJCYmon///rh37x5qa2uRnZ3dpOL2\n7Nmz8fPPP2POnDnQ09NDbm4uDhw4QOzS6uHhARsbG+zYsYPayYODuro65s+fDzk5OcTExBDX5nNy\ncvivJWtAFRUVxPXahv2LuLg4dOjQATNnzhR0r6BBmzZtcO3aNXTr1o3fB5ASmHx8fAStuWXLFvzx\nxx/8sKORkRF27NhB7SRw+fJlbNu2Dfr6+njx4gVcXV2b7eO0FAEfYHceoHUI4vBfEVBYySusePfu\nHaysrHhiFm0fp3379v9J/4R24EESrENc/xVYXVRevnwJNzc34uu6pVBXV4eqqire5YeUDM4NXl25\ncoXf8xQVFaG2tpZqfSE1GZFIBGNjY+Tl5eHTp0/o3bs3f0ykCAgIwK+//org4GDo6+sT5yosvXwO\ngwYN4gmqpOR3DqzufCzxrGuXlJTwQ+YmJiZUpMaamho8e/YM3bt3px40UVVV5V1xacRlOPE3oYIj\nLPEtUeMuKipCQkICMjMzUVRUBFNTU6Lc6sCBA0hOTkZGRgZMTEzw3XffITAwkOj5x1pD09bWxqRJ\nk6hiOFhaWqJ79+4YO3YstLW1UVNTw7vXkIqULVmyBEVFRXz9jHOkJIVkb7GgoEAqV24KLLlhS/Eu\n7t27B19fXxQVFUFXVxf+/v7Ee+1Vq1bBwsICd+/ehba2Nnx8fHDs2DGZcZywjpCBKE71X1FRET/8\n8AP18JuSkhLMzMxgZmYGAEhISMC+ffvg5+fX7PCyJFjqvKyuUE+fPv1sSJ8012eJBYC3b9+iqKgI\nFRUVUFJSohogE0r+Z40FAFtbW8THx2P37t1wdnZutD7TFFh5F0LWlux/SL5XmpqnULRu3RonT55E\ndHQ0xo8fD5FIhIsXL1L3FTh8IZN/wRf8y4iNjaWO4Rp2MTExvL3io0eP8O7dO+LXyMnJwblz5xAd\nHY3evXvj999/pzoGIfFnzpzBlClTYGRkxCtrC1GRZlFOXrNmDX766Sfs3r0bAwcOhLe3t0zLcskE\nkZZgBdQTbjhs2rSJSglQWVkZvr6+WL16NUpLS6GlpUVtyQXUF5Y4EriqqipVkWn16tVYtWoVMjIy\nsGTJEqImGgtRloO5uTl0dHRQWlrKbwbk5eUFKST9F9iwYQPf6HV3d4e3tzfCwsKIYyUblzQ2x5LN\nZSEQQvK9c+cOv6lZtmwZ1TkuCR8fH1RUVKBfv344f/48bt++LbO5wykfi8VipKenSyVeshpKkoM7\n79+/l/peVrLYpk0bHDhwADk5OcjPz0fHjh2pmq6GhoYIDw/HtWvXkJ+fj969e2PRokVEySLr2hxc\nXV1x69YtZGdn80RCWeA2f9evX8fjx4+xZMkSzJs3j1pJUsjaLQUhtpQs54ok5OTkkJ2djezsbAD1\nz3Ou6CHrdbS0tD5TfiFd+9mzZ1BRUcGzZ89gYmKCQYMGESvbcsdNa88I1Bfa6+rqsHTpUoSEhEAs\nFkMkEuGXX35p9j7B+tzloKGhgW3btqFPnz64f/8+kXq/rq4uXFxc4OLigtu3b+PUqVMYOXIkxowZ\nI1NdVRIbN26Ev78/jI2N8fTpU/j6+spsCPn4+GDr1q28bWhiYiKCgoKorB2FqoCoqqpizZo1AOoH\nmrivSdSFWkL1UmizFmi5hq1QsBB+WJUlhOS1HIRa3QLChmEbIjIyEmFhYVBUVERNTQ2mT5/eLJlc\ncrDj4MGDggrtLPZ1LLEsyisctLS0EB8fj2fPniEnJwedOnUifgacOHECf/zxB2/7qqSkRNXUWbhw\nIVJSUgSfpyxFuV69euH3339Hfn4+r4BCAyGfW1JSEv91z5498eDBA+jo6CA3N1fmPqS5gV/S4i2r\newtLPOvatbW1EIlEkJeX5xXnZIFlmGn8+PEYPXo032SUk5PDxo0biYfeJMkuN2/eFEwmb6jYGRAQ\nQBzLMmgI1BeBSch3DSH52qWlpdDT08Ply5eJ44cMGQInJycEBQUhICCA6J5sbm7ONysXLVpEfT2z\nHLurqyuePHmClJQUlJSUQF1dHcuWLeOJCbLAEl9WViZli66urg5bW1vi2oDQvTUgPTwkFotRU1PD\nn/eymvPTpk2T2mdPnz6dv65pSE7fffcdNWG1OfEAWZ+H5D3cwMAABgYGAOqb9DSN4g4dOgiurQh1\n1WB53xxSU1Nx9uxZXhk2Pz9fpiJ6VFQUsrOzER8fjzVr1qC0tBSDBw+GpaUl1WdmZGSEjh07EglQ\nNISnpydcXV0RHh6OMWPGICAggEppafDgwYiOjkZxcTG0tLSInj+NCbVkZGQgJiaGahhAU1MTMTEx\nUn9vmryvX79+AOqJRzRDVV27dsXkyZOJf58DyyeLQKYAACAASURBVPtuqesrIyND8GBqXl4epkyZ\nAgD4+eefqeoagwcPxuXLl1FSUiK1j6HBpk2bsHnzZgQGBsLQ0BABAQFITU1tMgccNWoU2rdvj1On\nTiE/Px9ff/01PD09+b+7LMTHxyM+Ph6//fYb3rx5A1NTU1hYWGDo0KHEJCsPDw+MGDEC9+/fh0gk\nwtWrV7Fr1y6iOKD+WVteXo6ePXvixYsX0NbWxrlz54jWrqqqgp6eHgYOHIgHDx7g0aNHaNeuHby8\nvAS5x9KgqKhIamiL1p1JCNTV1T9zJTAwMMDu3bupXufw4cM4e/YsWrdujbKyMsyZM6dZgp9QYlZj\nEOI8wNXjhdTmOfj7+yMiIkIQieS/im0JCBkMZPm8T548yX+dl5cn9T3Nvo924EES3DDTixcv0L17\nd8F7gv81JF1UevToQd2XPnLkCNV13VL48ccfMXnyZBQXF8PBwYG4hzN37lzY2dmhTZs2OHToEB4+\nfAh3d3e+XkwKIf0Mrv+dmJjIkwFramqI+xEAcOnSJXh4eFDX4lh6+SNHjmwytyB1GZLcR3Aq+DT3\nCZZ41rWrqqpQUFAAHR0dFBYWUuW1mZmZUv05GmcmdXV1ODs7Y9q0aQgLCyMebmERDWGNb4kat7u7\nO8aNG4epU6ciJSUFK1aswL59+2TGVVdXY8GCBfj222+pnQZYa2g0qtQNsWDBAv76KiwsFPQahYWF\nVLWMhpAcGlBRUSHqFbLkhi3Fu9i4cSOCg4NhYGCAtLQ0rF27lvhzKC0txdSpU3Hx4kWYmpoSX9cs\nwjqc8xNQL1RC+74fPXqElJQUJCcn4+XLlzA2NsbEiRMRFBRE/BoszkysrlDe3t6YNWsW737wv4j9\n5ZdfkJaWBhMTEwwbNgyLFy8mvhcuWrQIFhYWMDc3lxLX+bdjJTF16lQ4ODggKCgImzdvxrx582TW\nwTiw8C6Eri0Wi1FWVgZ1dXW+LlBWVkY8lLtgwQLi42uI9evX4+DBgzA3N8ekSZNw584dREdHw8/P\nT9DrfSGTf8EX/MsQolzJKX3+9ddfPLHX3t4eP/30E/G6ixcvhoODA8LDwwVNugiJv3DhAl/wZQFL\nk7uyshJmZmbYs2cPevToQaTA2DBBpCFYAdIJNq06Azd56OXl9dlGlGYjJxaLMXHiRPTv3x9PnjxB\nbW0tX2iS9To9e/aUKiyRKNCzEGU5aGpqwtDQkLekjIuLg7KysmCVpP81lJSU+GlePT09qo1Zw8Zl\nVFQUsZV1bW0trly5ItU8pEkC5OXlpTbuJOcZyzkuibS0NERERAAgVzOUVD6mVUHmSLxAPVlJ8ntZ\nyWJNTQ127NiBRYsWoVOnToiNjUVoaCjc3d2JBz40NDSonRlaam2AjUi4Y8cO/v63bds2/Pzzz/w0\n/r+9Nivk5eWpbSlZzhVJBAYGoq6uDmKxGKmpqejTpw9RA7C0tJQnoRUUFEBBQYG4MHb58mX8/vvv\nmDFjBry8vJCTk4NTp06hY8eOxOovrq6uiImJ4e0Z7e3tieLOnDmDvXv3orCwEDY2NhCLxVBQUJBp\nUc/63OWwZcsWnDhxAnFxcTAwMGjWarwxcBPsxcXFgobfOLKMiYkJ0bXZqVMnKeK4ubk51XUFCFcB\nEWqL1dKIiYnBy5cvYWhoSGzPKFmUk4ynbdjS4t27dzh48CDatWuH77//HosXL0ZtbS18fX1l/t1a\nSllCSF7LQajVLSBsGLYhxGIxf10oKSnxlmqksSxgsa8TEsuivJKeng4/Pz8cPXoUNjY2KC8vR25u\nLjFZFqhvcISGhmLPnj2wsbEhVrzk8Msvv+D48eOCz1MWIjyngJKUlESlgMLyuXHXQlZWFmpqavDt\nt9/iyZMnaN26tcx75ePHj1FZWQl7e3v0799f0LnK6t7CEs+69rhx4zBjxgz07dsXDx8+lCLQNgXJ\n57yQZ35j9z1SNygWa3dJcMRiDocPHyZu0rMMGgLgLYlNTEz490PSMJccAHr79m2T7ndNwcPDAx4e\nHiguLsby5cuJ7uHXr1+nthdvDEKPvVevXp+dG48ePSJWFRQa3759e+zcuRMWFhZQV1fnlclJhhwB\nNmt7zj0FqH92cvk4SXO+pfZmnBgEjaJuq1atkJWVhbFjx2LUqFFU+Y2TkxO6dOnC/124+zCp6pix\nsTE0NTUbPadJB+eEumqwvG8O69evh7OzM6Kjo9GzZ09iNxI9PT3MmjULEydOxK1bt3DkyBGEhYXh\n/v37xGsPHToUo0aNgp6eHn+eke7duL/P3r17YWtrSzwcyULAP3bsGNq0aQNbW1t06NBBcH5ZVFQk\nlVvRvO82bdrg5MmT6NevHx4+fEilADxmzBh4eHhIXVskJHiW9816fXFgGUyVk5NDZmYmunfvjqys\nLCqiUnx8PPz8/NCmTRtUVFTAz8+PSrUMqCfaenp64vXr1zA2NsZXX30lc9iwf//+1M4+HHR0dDB1\n6lRMnToVdXV1vLLekiVLkJqaSvQa+fn5mDBhAk6fPo3Q0FDiHIXrBSxatAi//vor1NXVUVFRQeys\nBNSrEnLPE3Nzc8ydOxfu7u7EZAGhTlrA/50ahxDIycnx9wN1dXVBzwOhWLduHc6cOYMBAwZATU2N\nSM1Xso4l1KHQxcWF7wH9/yW2JdDYYIaseznL511QUMB/bWdnJ/U9DWgHHiSRnZ2Nbdu2ITMzEz17\n9sTy5cup1BDLysrw5s0bdOnSBa1ataI+dtr4uro6KaGUoUOHQiQSYfbs2VQ16v/quraxsYGZmRle\nv36Nzp07E/VBAKC8vByxsbF48+YN2rdvDyUlJZw6dYoXuiNFYGAg0tLSkJ6eju7duxOp4ZqZmWH6\n9OnIzc3Fnj17kJWVBT8/P6L6AoeOHTti+/btePfuHYYNG4bRo0cTDbWy9DlHjhyJx48f47vvvoO9\nvT3RME5DsLrzscSzru3m5obp06fze14a55o///xT8Lq//fYbsrKyYGBggBcvXhA7n7GIhrREPAeW\nGveMGTMA1O9hr1y5QhTD4tDMWkOjEWpqCMm+XmZmJrKysmBkZETFF+nevTvy8vIEc0z+17llS/Eu\nNDQ0+CHgnj17QlVVlSo+IyMDAJCbm0s8OM4irMP6voODgzFs2DAsWLAAvXr1EnTeCnV2Yo0F6uvC\ntA6OrLG//PIL+vXrJ0jMdM6cOfj777/h5eWFsrIyDB48GObm5hg8eLDMGjBLrCSCgoL4/GLNmjXE\nw0iAsDyFde0ffvgBixcvhpeXF/T09PDmzRts3ryZeFB+0KBBvIK/p6cnCgoKICcnhw0bNsh0mWjX\nrh2WL1/Of6+pqYk9e/YQrdsYvpDJv+AL/mUIUa7kUFpaiqysLHTp0gUZGRn4+PEj8bpnzpxBXFwc\nTpw4gW7dulHbiQmJb6g0JgmapIKlya2iooLExESIRCKkpqYSPYxYE0TJRIE2aeAm3IUW4jhwmxk5\nOTnY2dkxvdamTZtw+vRpmb8nlCjL4c8//8T27dsRFRWFffv2ITExEdra2khNTW12w9MSioAtgU6d\nOmHr1q18U0hXV1fwax06dIi4WOLp6YnRo0fj3r170NXV/f/Ye/O4nPL/ffxqD6VosxQpFGaylewG\njTURiUYYkSVZpqgU2ROJZhBqrJUQxlLZl4kslWUkUdrVtNBCibb790e/cz73HXW/znnd1by/D9c/\n796a5/085+4sr9fzeT2vi3hiPywsDGfOnEFKSgqioqIA1BbLhAcP6gPNNS6MTp06ISsrCzo6OiJ2\nUw2BprlOcz1s27YNMjIy7Pn27dsX0dHR8Pb2xtq1a3l/blPmpiESysrKQllZGUDtvc51ip0mNy2M\njY0521JK6tmxdetW6OvrIycnBwkJCdDQ0IC3t3eDMTExMXB1dcX58+ehoqKC169fY926dfDx8YGx\nsbHYnMePH0dwcLBIgdzS0hJLliwR++5euXIl/Pz8YGJigvj4eIwePRqjR49usGkvDGtra1hbW+PM\nmTOwsrIiigEkV5hRUFCAsrIy1NTUYGBggNLSUk7Wqwzatm3LWX1fWloat2/fhrGxMWJjY4nWG3Z2\ndmwjgnFz4QoaFRC+oFG9FIaHhwfKysrQt29fYneKhuIfPnzY4JqAFi4uLpg0aRJKSkowe/Zs/PHH\nH2jXrh1cXV3FksklpSzBZ13LgI/VbWVlJc6fP/9VoWLLli2cnWP69++P5cuXo3///nj8+DERwUL4\n2uJ7nQF0Stl8YmmUV3bu3MkWeDQ0NBAUFISMjAysXbsWY8eOJfoMTU1NaGpqoqysDKamppxJo3y/\nL0kQ4fkqoNB8bwzhZeHChfD394esrCyqq6uxcOFCsXkvXbqEpKQkXLx4EQEBAaxTBGNbTgJHR0fc\nuXOHVWrjuk+niafNbWdnh6FDhyI1NRVWVlbo3r272JjmJPoUFxcjOjoaNTU1VM4zdREeHk68bqAt\nWicmJoqopwDclaw7duyI1NRUTjGPHj2Cu7s7lJSU8PHjR2zevBlDhgxpMEYSRPK64HPswrhy5Qpn\ni3qu8T4+PggNDUVgYCCrPNOvXz9Orm18QeOe0rFjR4kcAx8xiAMHDqC4uBiXL1+Gr68vNDQ0MGnS\nJFaZsCGcPXsW4eHhSEhIwMCBA2FhYUE8mA/UNrijoqKgo6MDCwsLov1WXfTs2RP79u1DSkoKdHV1\niRv2NOfNoE2bNjA3N0d0dDSWLVsGW1tbsTFXrlxBXFwcnjx5AmlpaQwaNAiOjo5iB4Dr4tSpU/Dz\n82PrBFxQVVXF7m8fPnzIiiOIAw0B/969e7h79y7Cw8ORmJiIMWPGYOzYsZwI3UDte6yoqAhZWVnQ\n1tbmtN/09vbG/v37cePGDejr63NytggJCcGYMWM4q3vTnDft/cWAZjB1zZo1+O233/Du3Ttoampy\ncnLcu3cvwsLC0LZtWxQUFGDp0qXEgwsMgoODcf36dZSUlMDS0hIZGRkiw/CSRmFhIaus9/TpU8jI\nyMDU1BQrV64k/ozKykpcu3YNXbt2RWFhIcrKyjgdQ25uLisO07JlS07k09LSUqSkpEBfXx8pKSko\nKytDUVERUa2arwhFXl4edu7cCR8fH4wZM4Z119u/fz+n4YGPHz/yep7RxgK1Az7e3t4wNjZGXFyc\nWFKApPIC/MjVNLV5Bq1bt8bNmzehq6vL2eWhuWIlAYaYKxAI8PLlS6L9Ls33zcV5oyHQEKPd3d2x\nYMEC9OvXD7GxsXB3d8eRI0eIYq9cuYIDBw6gurqaHZrkQozkE89XKKUu+N7XkoCKigqMjIwA1Cpo\nkvR29+7di65du8LDwwM7duxg628fP37kdI8EBQUhPDwcRkZGOHz4MMaPH9+gKyFQW4sZPXo0lJSU\noKWlhczMTMyYMQM///wzcd5JkyZhwoQJiI2Nxe7duxEQEID4+HixcTR9zrVr16Kmpgb37t2Dv78/\nSkpKYGZmhvHjxxPvhfnuIyQRT5t7yJAhuHnzJgoLC4nXw6Wlpfjzzz/ZQbPc3FxISUlhz549xLWR\nwsJC/PHHH+xxr1mzhtP6VEtLC+fPnxf5Ny68Br7xtDVuPT09XLx4EaampkhISICqqirr9ttY77HG\nqqFxAc1a/PHjxxg5cqTI9cnFaXXv3r0ICQkRIVSTxvNZo0mKd6GmpgYPDw/WEbGmpoYdGhVXm/Hw\n8IC7uztSUlKwfPlyrF+/nignjbAO7XkLOxPxBV9nJ9pYoLYWFxAQICIaQnp/8Y3lU/diMGDAAHZt\nWlFRgaioKPj7+2PZsmVixQloYoH/66H36NEDycnJ6NatG4DaWvno0aOJjp/POoU298SJE6GkpARf\nX1+8ffsWHTp0wKxZs4hdb3bu3Mn+fXNycrB161Y8evQI/v7+YvkmdcHVhaUuvpPJv+M7mgBclSsZ\nuLu7Y+nSpSgsLESLFi042Vv6+voiIyMD/fr1w/nz5xEXFwc3N7dGjU9LS4Onp+dXZHKuSqN1C3+y\nsrLIzc0lsu3YvHkztm/fjqKiIhw+fJhT0Zkvnjx5wr6si4uLRV7c4haa3bp1Q0VFBY4fP47du3dD\nIBCgpqYGCxcu5PSd6evrY//+/UhPT0e3bt2wePFiqKio8DofWjVIUoSEhODChQuQk5PDyZMnce7c\nOairq2PmzJkNbmQZ0nVoaCj69u2Lfv36IT4+nqhYIEls27YNoaGh+Pvvv9G1a1eqiV8u33nLli2x\naNEipKenY9u2bcSEncmTJ2PQoEE4ePAgO3wgLS0NNTU1sbEJCQms7TWNBfazZ88wfvx4dOjQAXl5\neZCXl2fvFy6buqZAQkKCiGK/qqoqPDw8OE99pqamQk9Pr1ly8yESMvjxxx9Za974+HhiBUhJ5KbB\nq1evIC0tjYSEBFhYWKB169acbJFpER8fDw8PD8yePRtBQUGYO3eu2Bg/Pz8EBQWxz+yhQ4fi8OHD\n8PDwwIkTJ8TGy8rKfqW0oqSkRDRFLjy0defOHdjZ2QHg/h4wMTHBwYMHeTsm8IWnpyc0NTVx//59\n/Pjjj3B1dUVgYGCj5wVq7cy2b98OX19f6OvrE6lxCH+vfN1caFRA+IJG9VIYfNwpJBnPFTU1NWyO\nK1euYODAgQBApGwkKWWJuutaxrGIBHPnzuVsdevj48M+r4ULFfv27SMuVAi77pw/fx7v37/H1KlT\nxapeZ2dnY9y4cQDorjOAzr6OT6zwe545ZlKUl5ezREWm6Ny5c2dUVVURf4aysjKrhHHy5EkUFxcT\nxwL8lcUlQYQH+CmgSOJ7EybKVFdXo7CwkCiue/furKJTbGwsfH19kZubS0xWqrvPfvz4MSf1Hpp4\nvrGMGoavry97fb98+RJArfPAkCFD0K9fP+Jz4IpDhw4RFXrrolevXggPDwdA5zxTF1ye63yL1jNm\nzICUlNQ3ayskcHJyYv/b/Px8oj2fMPz8/HDixAloaWkhLy8Pjo6OYsnkkgLtsQtDWI2lseLfvHmD\nX3/9td73bEJCAnr16kV1HP9l8BWDUFVVhY2NDWxsbJCdnQ0fHx+4ubmxg+/1oVevXujVqxcEAgEe\nPnwIf39/vHv3DqNGjSISaZg3bx7mzZuHlJQUXLp0CXv27EHfvn1hYWFBvG93d3dnh4liYmLg5uaG\nAwcONOp5M5CWlkZycjLKy8uRmpqKkpISsTF3797FkCFD4ODgwGvwloGWlhYvu3Sgtn4WHR2N6dOn\n48aNG8TDFjQEfFlZWYwcORIjR45EWVkZrl+/DmdnZ7Ro0ULEKVAcLl++DD8/P+jr6yM5ORmOjo7E\n6qxt27bFkCFDoKmpiS5dunD6/lVVVYkG3eqC5rxp7y8GfFxaGfTu3RtHjhzhRd5v1aoV+99raGgQ\nq7MKIyIiAiEhIZg7dy7mzp0rEQfWhjBz5kwMHjwYgwcPxtKlSzkPDwDAggULEBERgTVr1iAoKIhz\nfXro0KGwtbXFDz/8gOfPn3MaNvT09MTq1auRn5+P9u3bw9PTE5GRkUQKnnxFKLZu3cq66WlpaSEo\nKAgvXrzA7t27OZHJGXcmPqCJBWqfiadOncL9+/ehr68vVuRFUnmBWnL1jRs3RIbAmoJc/f79exHy\nD5d+YXPFSgJ1n50LFixostw0oCFGy8jIYMSIEQBqhbS4OKcdPXoUp0+fxvz58+Hg4IBp06Zxeqbx\niecrlFIXfO9rSYN0r2pjY4MtW7YgLS2NdQ8DuN8j4eHhCAkJgaysLCorKzFz5kyi/a6w80qnTp04\nk++XLFmC/Px89OnTB4sXLyYewqDp5QO1a/Hhw4dj+PDhKC4uxoYNG7Blyxb8888/RPlp9hG08Xxj\nN23aBE9PT7ZGIQw5OTmYmZnV2wNjhBaB2u/u8uXLePDgAfz9/bFnzx6i4167di1sbGxgYmKCmJgY\neHh4cHquMMPpAoEAiYmJUFVV5UQm5xMviRp3amoqUlNTcebMGfa+9vT05HSPMrwaUse2xqqhcQHN\nWvzatWtUuW/fvo3bt29zVvYG+K3RJMW7YOoYGRkZUFJSwoABA4iHQ7t06QJ/f3/OdTcaYZ03b97A\n2dmZPW/h96Wvry/vz+UCvs5OtLFA7XBJWloaOxwCkN9fNLF8UVNTgydPnuD27dt48OABlJSU8NNP\nPxENedDEAqI99M2bN7PPvpiYGOLj57tOoc09YsQIdj3MtS6cmJjI5pOVlYWenh709PSIhgXrgpbz\n951M/h3f0cjgo1zJwNjYGFu3bkVwcDCio6Px7t074tjY2Fh2scGHcMMn3tDQUCLFGD8/P7x79w69\nevXCy5cvIScnh4qKCkyfPl1sweXu3bsixfHjx48TK6zyxYsXL3jHSmryfeXKlZgwYQKsrKzw+PFj\nuLi44ODBg7yOSVJ24OKgoKCAli1b4s2bN2jbti2r7C2uMcWogR45cgT29vYAatUv582b17gH/P9D\nuKjQtWtX1j4oJiaG96KNy3cuJSWFgoIClJWVseorJJCXl0dpaSk2b96MyspKnD59GvLy8kSbsYsX\nLxIfX0PgSgYTBh9SNg2+pbghJSXFuRnF2H43R24+REIGnp6euHHjBlJTUzF27FjiKU9J5OaLy5cv\nIzAwEDY2Nli9ejVycnJw+vRptG/fnrPyJl/U1NTgxYsX0NbWRkVFBZEilIyMzFdqCsJNHXGo7/nB\nVbFaeFPB9T3A1zGBFpmZmdi6dSvi4uIwatQoBAQENEleoHYK/I8//uAUI4n3Kx8VEFrQqF4Kg487\nhSTjuUKY1Cqs5FddXS02VlLKEu3ateNEdhHG+PHjMXjwYNbqluR6efXqFXWhQliV/dy5c8R7A0ld\nZwCdEjCf2EuXLrEDX3PnzuW0H/ry5Qv7s7+/P/szlwHkLVu2IDMzE05OTjhy5AixiwmtsrgkCN1r\n164VUUAhHZiQxPdmZWWFiRMnonv37khOTmb3FSQoLS3F9evXER4ejvLycpbQQoLm2KfTxjJD3d9a\ni1dVVWH9+vVUtsXi8Pfff+PXX38lHjZgQOs8I+zMwRd8i9YkypwNQZi4oqCgwLnRIyMjw1oDa2lp\nEakRxsbG1vs7ExMT4tx8jr2oqAj+/v548OABSktLoaysDGNjYzg6OhI1xWjio6OjcfjwYYwbNw4G\nBgZQU1PDx48f8c8//yAyMhKGhob/T5PJacQgUlNTERERgVu3bqFLly6cxCCkpKTQt29fvH//HufP\nn0dYWBgnsqu+vj5WrlyJ3NxceHt7Y/LkycQCBUVFRezAco8ePXD16lXivADdebu5uSE5ORmzZ8/G\nqlWriOo5W7du5XR89aGiogKTJ09Gt27d2PUtabO3c+fO+PDhA/755x9oaGggNzeX2PWGloAP1Dbv\nnjx5gpycHM6DMUePHsW5c+fQqlUrlJaWYu7cucRkchqhlzZt2sDT01PEulucslxd8D1v2vuLxqU1\nMjISv//+O7p27YqkpCQi8j7zzqyursaiRYvQv39/PH/+nJdjBkPgYL5z0s+orq7GuXPnkJOTg4ED\nB6Jbt25E+y9a0gsAjBkzBmPGjAFQO3zOFUuXLkVSUhLS09MxZcoUlvRFAiMjIxw7dgzZ2dnQ0dFB\nq1atiB1B+IpQMEqwwvjhhx9QWlpKfNxA07tZAbUD2wyYoQ+gdsi1Q4cOjXrMQO0eJisrS4SE1xTk\n6tLSUgQEBPAa8GiuWElBmOxTUFAgcg38l8GHGM30zFq0aIHAwECYmJjg+fPnrDo7CWRkZCAvL88+\nh7n+7WjiaYRS3r9/j9u3b+PTp0/o27cvRowYATk5OU7HLimQ1iBtbW1ha2uL06dPU4l1CAQCtg4j\nJyfXZOfdt29fxMXF4d9//0VWVhY6d+5M1Duk6eUDtf2W6OhoREREIDExEcOHD2eFT0hAu4+giecb\ny9R4v1WjqKysxKpVq+olk799+1akLiMvL48RI0ZwclT88uUL25s0MzMjdjpgIPz8EggEWLRoUaPH\nS6LGTeOOBNT2dzt37oz58+fjwoULuHDhgth6cVM6v9cHPmtxYeGLunByciLOraamxqmuLAw+azRJ\n8S74uFAWFxfD09MTCQkJUFFRQUFBAQYNGgRPT0/WsaghcBFFqQs/Pz/2Zy57TEmCxtmJb2xVVRVk\nZWV5iaDSxNJi0KBBGDhwICZOnIglS5YQXR+SiAXqF+ziQpDmu06RRG4G27dv57TfEuZ2CL+DuH5/\nAIjcDBvCdzL5d3xHI4OPcmVFRQU7fccQQG/evMlpGq6qqgo1NTWQlpbmrJAniXgaKCoq4uLFi1BQ\nUEBFRQWWLVuGPXv2wNbWtl4yeXh4OG7duoVHjx7h4cOHAGoftklJScRkcm9vb07q7ZKApCbfgdpp\ncqCW1H/lyhWx//23JokFAgEnG+m8vDz4+PigsLCQbZ727t2bKFZKSgqlpaW4evUqhg8fDqC28EJK\nQPn06RMePHiAH3/8EU+fPhUhlTQmhKdx60Lc5qC+33NRkHR0dMT169cxefJkmJmZETexjhw5gsjI\nSISGhmL79u2s8qSXl5fYTaSkLLBp1In4kLKF8eDBA2RmZqJ3797o0qWLWEJE27Ztv5rYjo+P51zE\n5GP7LancfIiEDKZOnQoLCwtYW1tDVVWVU17a3Hxx/PhxBAcHi6gGW1paYsmSJcRkcmdnZ6rp58mT\nJ2Pjxo3w8vKCj48PUbOXcaQQbpxVV1cTW3/Xnd5mPpNRem0IkiK88nVMAID09HRkZGTAwMAAWlpa\nnI6DUZJl3ickzcdRo0aJ5JCVlUVVVRXk5eVx+fJlzvHCEDcwU15ejvT0dNTU1ODz589IT09nN5/i\nlKDWrFlT7+9ICn205y0J0LpTNLW7RVZWFnbt2gWBQCDy89u3b8XG0ipLGBoaQkVF5ZvFDXHnSnOt\nSKJQISlVdhrwVQLmG0tzzpqamnj+/DlrSQwAz58/h4aGBvFnJCYmAgDKyso4DX/RKotLgtCdnZ0t\n4sYSGRlJtDaUxPc2a9YsjBs3DpmZmejcW4VYGwAAIABJREFUuTPRWiUyMhKRkZHIycnBmDFjsHHj\nRk72ukDz7tP5xjLDvJMmTUJ8fDyqqqogEAiQn58PS0tLdii4sVBUVIRhw4ZBW1ubbSpxUenhC8aZ\ng686OMC/aM13/1VQUIDDhw+jZcuWmD9/PpGbxregpKSEoKAgmJiYIDY2lsj1jNmrZWZmorKyEj/+\n+CNevnyJVq1aISgoqFGP3c3NDZMnT8aKFSvQqlUrlJWV4e+//4azszORBS5N/MKFC5Gbm4vQ0FAc\nOnQIRUVFUFdXx4ABA+Dq6kpEDqPF7du3WUIaUPusYhzdxOHZs2c4d+6cCHHm0KFDxLn5iEEEBgbi\n2rVrUFNTw8SJE3HixAnivW5lZSWioqIQHh6OtLQ0jB49Gu7u7pwGzxmla2YNPGHCBE7uL1++fEFB\nQQE0NDTw7t074iFemvNm8OzZM3aAjcvQniRgY2PDSzUZAJYtW4bCwkJ2yEBKSorTkAkfAv7z588R\nERGB+/fvo0+fPjA3N8fGjRs5v3elpKTYwVIlJSWi4RoGNANgnTt3BgBOwjIA3XlL4v5iwNel9dix\nY5zJ+8xemvlfKSkpzoIIDMzNzTFr1izk5OTA3t4eP//8M1Fcc7qmHThwAH/++adI34jL/njatGkY\nOHAgpk+fju7du3PKffXqVezfvx/V1dXsuolURZivCIXwsN+ff/7J/szl3gSa3s0KAH777TeRtaWU\nlBQyMjLw8eNHIoIjzTEHBwfj8OHDkJGRwYoVK9heTGODySsrK4t169ax+4r/cqykUFpaitWrV6Nl\ny5YQCARQVFSkIl9xwcePHxETEyOyZydZGwoPh3bv3p19Jjx79kzse5vpmamqqrKKugD5UA5QKxjl\n7OyMvLw8eHp6Eg+nSCKer1DKw4cPsWHDBowdOxZqampISEjAnj17sG3bNs6CYVzwLfKkQCBAXl4e\nUbywG9SjR4+++mxS9O/fH8uXL0f//v3x+PFj1rWosbFw4UIsXLgQ8fHx2LFjB3bu3Innz583as4N\nGzYgLi4OAwYMgLW1NS93Nr77CEnE841lBkKqqqpw5cqVrwYu9u3bV2+scA7hmjSXvX51dTVev34N\nAwMDvH79mvNaXnjdUFBQQFTXl2Q8X9C4IwG1boLMQMzatWsxa9asxjpUiaLuWpykr0srQsf0QN69\newdLS0tew9N81miS4l3wcaH08vLCzz//LCKWFRYWhk2bNmHHjh0SOa76QOok0ZhYsGABIiMj4ebm\nxtnZiW/skiVLEBgY+JULNIljAU0s8H/XYmVlJcrLy9G+fXvk5uZCTU1N7PCLnZ0d7t27h6CgIKSk\npGDEiBHEvB6aWKB+/gKX90C/fv14rVMkkZsB136hQCBAaWkplJSU0KdPHwC1+wrSz7lz5w4iIiJQ\nXFyMdu3aoXXr1kTuft/CdzL5d3xHI6K4uJhVriwoKICMjAxRk3rUqFEwNzfHzp07oauriwULFnC2\nVZkwYQJsbGzQu3dvPH/+nLiRRBP/+++/c8pRH4qKitgCoLy8PIqKiiAvL9/g5mbYsGHQ1NREcXEx\nS96TlpYmVroBagl5Hz584N0cocGQIUMQGBgoUuBxdHQkjtfT08PFixdhamqKhIQEqKqqssoH9RHU\naNXOAGDdunWYN28e/P39YWxsDDc3N2KL93nz5mHSpElo3bo1Dh8+jOfPn2PlypUitmoNYevWrfDx\n8UFaWhq6detGbJNLi/qIWPn5+WJjJUF2MzExYYt3XJojV65cwcmTJyElJYXw8HBcu3YNrVu3btLJ\nTxp1Ij6kbAa7du1Cbm4uUlJSIC8vj4CAALHXv5ubGxwcHNC+fXvo6OggJycH2dnZnJ9zfGy/aXML\nFwPrgnTze/ToUVy6dAmLFy9G+/btMX36dAwePLhJcvOFrKzsV4UoJSUlTiqWFRUVePXqFbp06cJZ\niQqoJaZZWFggOzsbv/32G1FhzMLCAk5OTli8eDG0tbWRm5sLf39/jB8/niin8CS3MEju7W9ZipES\n0YXB1zEhODgY169fR0lJCaZMmYLMzExiiyugthFnY2ODgoICzJgxAx4eHmJjrly5AoFAgI0bN2Lm\nzJkwMjLCy5cvceLECaKcdYe1oqKi4OXlRdT4VFRUZN9xCgoK7M8kSlB112H5+fnw9fUlbkzQnrck\nQONOIYl4rli+fPk3f162bJnYWFplCVdXV0RFRUFHRwcWFhYwNjYmjn3x4gU+f/4MCwsL9O3bl/Ok\nPk2hApDckAoN+CoB842lOefVq1fDwcEBAwcOROfOnZGVlYUHDx5wsrllCJzMs7xjx45EBC1aZXEa\nQvft27fx5MkTRERE4OnTpwBqm0w3b94k2ndK4ntLTEzEqVOnRPZf4gYunJycoKenB0NDQyQlJYk4\nB5Cuc5pjny6p3I6OjqisrER+fj6qq6uhqakJc3Nz1rbxW6ApWDPg8neVJCShJlW3uc6n4cwFbm5u\nMDMzQ0lJCXx8fLB+/Xpen+Pj4wN/f3/s3r0b+vr68PLyEhvD7K8WLlwIf39/yMrKorq6GgsXLmz0\nYy8tLRW5npWUlDBx4kSEhIQ0SXy7du3w22+/ER+vpPCtZ2l1dTVu3bpFfH9v2LABCxYswNWrV9G9\ne3fOivx8xCB8fX3RqVMnSEtLIzg4WOR7FlcfGDx4MDQ1NTFx4kRMnToVUlJSyMnJQU5ODhGhzt7e\nHnl5eRg3bhy2bNlCpKBeFytWrMDMmTOhpKSEsrIyItEQgO68JSGgQYtDhw7xHvB/9+4dryEgGgK+\ntbU19PX1MWzYMMjJySE6OhrR0dEAuCnU6ejowNvbG8bGxoiLi0OnTp2IY2kGwNLS0njVUGjOm/b+\nYkDj0sqHvG9paQmg9vs+deoU3rx5A11dXVZ0hQTnz59nc5qbm+PTp09QUFBg18jiwLimPX78uMld\n0yIjI3H37l3e6ssXLlzA3bt3sXfvXhQVFcHCwgITJkwQceeqD0eOHMHp06cxf/58ODg4YNq0acSE\nivHjx6NPnz4oKCiAuro68fCVsrIy0tPToaury14fGRkZnAfotm3bhrS0NGRmZsLAwIDTcCTfWOEh\n2oqKCvzxxx8oKysjHjygOebw8HBcuXIFpaWlcHFxaTIyed28XEjdzRUrCQiT95cvX95k3zcDOzs7\n6Ovrs31OKSkporUhzXCo8F6ar1Ock5MToqKi0KNHD+jp6WHUqFHEsbTxfIVS9u3bh5CQEBE3Izs7\nO7i4uBANtfJFfeRJ0jWOpHqCrq6uuHPnDlJSUjBt2rQGawOSxObNmxEXFwddXV1YW1tj//79jZ7z\n5MmTUFVVxbVr175yFiHt+/LdR0ginjZ3fQMXjKPZtyAnJ8cS2BkhhoKCAk6DhoyjYX5+PrS0tDgf\nt7BIgKKiInF9WFLxfEHjjsSgqKgIbdq0wYcPH4icVv8LsLW1xaBBg5CUlIQuXboQOeYwewHga+Eq\nEty/f5+a30TjkkoLPgPMWVlZmDRpksi/TZ8+vVFdJ/9LGDNmDHR1dfH06VOMGTOG09+Lb+znz59h\nZmYGU1NTDBs2DEOGDCES7qCNBf7vHbVq1So4Ozujffv2yMvLIxIpW7RoERYtWoSPHz/i3r17CA4O\nRnJyMrp27So2niYWqOVZRkdHo6amBiUlJbh37x4EAgFKSkrIThy1tWZmnTJ16lT89NNPRHGSyM2A\nqzr4L7/8gmXLlsHV1RU6Ojp4+/YtduzYwbqLNISQkBBERUVhzpw5UFNTQ05ODg4ePIjMzEzOTnfA\ndzL5d3xHoyEmJgaurq44f/48VFRU8Pr1a6xbtw4+Pj5iCSFz587FpUuXkJ2dDSsrK16qfnZ2dhg6\ndChSU1NhZWXFWVmCT7yklGdHjx4NGxsbGBkZIT4+HqNGjcKJEyfQrVu3emMKCwuhoaHxFRGZlNAG\nACkpKTA1NUXbtm3ZAj8X8m9dK9/U1FTiicgVK1Zg0KBBaN++PXE+YTDT/mfOnEFRURHS09NRXFzc\nIEGtY8eOyM7Oxl9//YXs7Gxoampi2rRpSE5OxocPH4gWQJ8/f8agQYOwf/9+6OnpcVIBGTFiBG7f\nvs3+fzk5OZw+fZp4AaSvr99sxAKgdngiNDQUlZWV+Pz5M3R1dRtULWfw/PlzhIaG4u3bt9DS0oKN\njQ1SU1NhYGAgQsapD3v37kVwcLDIhpvkOm3VqhVkZGSQkJAAHR0dtpjI5fnCWOkw4DN8wVediA8p\nm8Hjx48REhKC2bNnw9LSkqgB2q5dO5w5cwaPHz9Gfn4+xo4diz59+nAmiTk6OuL+/fvIyspiVdEb\nO7ckioGtW7fGrFmzMHDgQPj7+8PZ2Rna2tpYuHBhg8pMzWVLBdRP4OOi0JCeni7S+CKd7GXAR5XJ\n2toaSkpK8PLyQn5+Pjp27Ihp06YRE0BoJrnrsxTj+nd0dHTEjRs3WMcECwsLojjGhWXu3Ln49ddf\niWzahaGsrIyrV6+isLAQbdq0IbpHmEZ2VlYW+8zt2bOniPUsSXx5eTlbJDp06BDRvU2iylkfhBtf\n4eHh2L9/P1xcXDBlyhSieNrzpoGwUraUlBQUFRVhZGQECwsLIjV52ni+EC5EcgWtssS8efMwb948\npKSk4NKlS9izZw/69u0LCwsLsWvLS5cuISkpCRcvXkRAQABMTExgYWHBqhs2BJpCBQNaVfa6zhwx\nMTGcn3M0Nrt8Yr81mMNAHAlIR0cHYWFhuHXrFt6+fYsffvgBK1as4ESGEB6Qq6iowMqVK4niaJXF\naQjdhoaG7ACxsIrkxIkTiXJL4ntzc3ODra0tJyKhJBRgm2OfLqncRUVFOHXqFDw8PNihYnGgKVgz\nkJGRgZeXF1JSUqCrq9ugA8O3EBYWxir5ArV/R1Ly5dWrVxEcHIzs7GxoaWnB1tYW2dnZGDBgADt0\n8y0wpDQDAwNoa2vjy5cvMDU1JSJm0aCyspIlz5EqfApDeF1gbW0NKSkptG3bltOer6CggP2ZcZEh\nAc2xq6mpYe/evRg+fDjbHP/777+J3Qpo45sLhoaGKC4u/upZam5uTvwZbdq0gbm5OaKjo7Fs2TLO\nTQ4+YhA0A4KjR4+GlJQUsrKykJWVJfI7ErIrMzR75swZnD17FgA3RSegVgzi5s2bKCws5FQHpTnv\nYcOGQUNDg0pAg1aFno91N4MuXbogLy+PuKHPgIaALymb9m3btuHUqVO4f/8+9PX1sWrVKuJYmiGu\nyspKXoPuNOdNe38x4OPSyoCGvO/p6YnWrVtjyJAhiImJwdq1a4mV9eoO1AsEApw7dw6KiopEe27h\n9x2pa5owiouLce/ePRH3l0WLFhHFamtrcxYhEoa0tDRLdD1z5gyCgoJw9uxZmJubi30nyMjIQF5e\nnnWO4UJo37t3LyoqKuDk5ITly5fjhx9+IBpAW7lyJZYuXYrp06eze5CwsDDs3LmTODcgKm5gaWmJ\njIwMYnEDmlgAePXqFdzc3DBo0CCcPXuWeOCCJq+8vDzk5eXRtm1bYidESYAmb3PFSgLNRd5noKys\nDG9vb85xtMOhAD+3t+rqalRXV8PJyQm7d+/GwIEDUVNTgzlz5hDtwWnjAf5CKQKBQIRIDqDRnbuA\n2pqlQCBAbGwsu1c1NTVFamoqsrKyxK4RmTpbaWkpAgMDkZ+fj5EjR8LAwIDTcbx9+xYpKSkoLy9H\nfHw84uPjOYmkccXLly/Rs2dPDB48GC4uLpxdKRjw6eULKw7zBd99hCTiaXPzGbhYuHAhFi1aBAcH\nB3Tq1AlZWVk4cOAAXFxciPP27NmT3bfxAa1IAE08TY2bxh0JAJYuXYpp06ZBRUUFHz9+5LROoamh\n0WLv3r3szykpKbhx4wbxM4XvOqlr167Uatk0Lqm0vAs+A8z19TuaSxioqXH8+HFERETAyMgIhw4d\n4vT34hsbFBSEiooKPH36FDExMQgLC0NNTQ0GDBiApUuXNlqsMN6+fcvy0LS0tPDvv/8Sx2ZnZ+P9\n+/f49OkT5OTkOO13+cb26tUL4eHhAGrfBQwHi0TdvO7acPDgwZzWhjS5ATp18IkTJ0JJSQm+vr54\n+/YtOnTogFmzZhENSV66dAkhISGsyKKhoSGGDh0KOzu772Ty7/iO/xL8/PwQFBTEEmOHDh2Kw4cP\nw8PDQ6wKpL29Pezt7dkXwosXL+Dj44PJkyeLbfh+y97q5cuXAMimkmnjJYGlS5di9OjRbJO7W7du\nKCwsbFBRpO6CUEpKiiVVx8fHE+UVJjZzQVJSEvLy8kSs4qurq7Fr1y5cuHCB6DNatWpFpWQVFBSE\n58+fIzg4GCkpKbCyshKr5PX8+XN4eHjA1tYWvXv3Rnp6Ouzt7aGpqUncUFJQUMDdu3dRU1ODZ8+e\ncVKbYRAYGAh7e3u0bt0aSUlJsLe3x19//SU2jtbGkxa3bt1iFWnnzZtHZLMbFRWFvXv3YtmyZejY\nsSPS09OxZcsWKCkpERe2bt++jTt37nBuFEhJSSEtLQ1//fUXu+BIT08nUm0uKChAaWkpXF1dsWPH\nDggEAtTU1MDV1RVnzpwhPgYadSJHR0fcuXMHycnJ6NKlC5G9FYPq6mp8+fIFUlJSqK6uJl6ohoWF\nYdq0aZCVlUVcXBxOnjzJSdkI4KeKTpub2fjeunULL168wPLlyzF//nxOpIyQkBBcuHABSkpKsLKy\ngre3N6qqqmBtbd0gmVwSufmiLoEPAGeVbWby+v3791BVVeWkag7wV2WaMGECJkyYgI8fPyI7O5tT\nw5QGtEWSlStXws/PDyYmJoiPj8fo0aMxevRo4uISU9zgowIP1K61iouLMXXqVJibm3MiESorK8PP\nzw9GRkZ4+vQpJ7JQbGws1q1bB0tLS2zYsKFRCc3CKC4uxvr161FaWoqQkBDOZAyA33mPGjVKZG0o\nKyuLqqoqyMvL4/Lly2Lj65ImPn36hLt37yIhIYFITZ42/n8Z+vr6WLlyJXJzc+Ht7Y3JkycTrWu7\nd+/OEl1iY2Ph6+uL3Nxcse4xNIUKBnxV2ePi4vDmzRscPXqUJahWV1fjxIkTbOGGFDQ2u3xi6xvM\nIYWioiJnhej6UF1d/RX5pz7QKIsDdIRuNTU1mJubY8KECbyfobTfm7q6ukhzhAQ0702mGSO832b2\n2XJychgyZEiDqtU08bS5GTD7j/LycigqKnJqMtAUrNeuXQsbGxuYmJggJiYGHh4eOHbsmNi4byn5\nVldXIzk5mWitcv78eVy+fBkbN26EtrY2UlNTWZKeOEKF8PozIiIC5ubmnFVp+UD487laZgOidRVG\nfauoqAjjxo0jbuBZWVlh4sSJ6N69O5KTk2Fvb08UR3PsPj4+CA0NRWBgIOuw0a9fP2L3Mtr45kL7\n9u1haWmJyZMn836WSktLIzk5GeXl5UhNTeWsssNHDIJm6I4PMUoYknAcOHny5FfOFpGRkWLjaM5b\nRUUFpqamMDU1xYMHD5CZmYnevXtDVVWV+DNoVej5WHczePLkCUaOHClCXCGp39EQ8GkGQ4VRXl6O\ndu3aoU2bNgCAa9euEa8/5syZIzLExWWALS0tjdegO815095fDDp27AgvLy98/vyZ83uPhryfkZHB\nDhyYmZlxWpcL15IyMzPh6uqKn376Ce7u7kTxK1euFHFNI41j4OjoCD09PSQlJUFBQYETKbuyshKT\nJk1C9+7d2e+bi6r9jh07cPPmTQwYMAD29vYwMjJCTU0Npk6dKpZM3r9/fzg5OSEvLw+enp4ihClx\nuHXrFs6dOwcA+OOPPzBz5kwiwmrPnj1x9OhRnD9/Hnfu3EH79u0RGBjI2WlCWNxg7ty5nMQN+MbW\n1NTgwIEDCA8Px6ZNmzg5kNEeszD4CFdJAjR5myuWL5qbzD506FCEhoaia9eu7L+RuJcx4DscCvBz\nezt79iwOHDiAd+/eYdy4cRAIBJCRkSF2Y6SNB2qfw9evX2eFUkgVgOtbg/PZi3HBu3fvsGjRIujq\n6qJDhw64desWtm/fDnV1deJBKgBwd3fH8OHDERsbC3V1dXh4eCA4OJg43tnZGcOGDYO6ujqf0+AM\nb29vHD9+nJNjszAk0cvng02bNsHT0xMzZsz4am0kJycHMzMzzJ07t1HiaXMz4DNwMXjwYHh5eeHk\nyZNsnXnDhg3o1auX2Ni6+wwpKSmoqalhxYoVGDlypNj4b50vAxKxE5p4SdS4aQYsAWDkyJEYPnw4\nioqKoKamRrQmp62hSQLMs0QgEODly5ecnqV810lv376tt2dPyovi8+6TFO+CzwDz58+fkZ6e/tUa\nqby8nDgvLfLy8vDx40fIyMggMDAQs2fPbjJFd+Za4eNqSxMrLy+PXr16oaSkBGVlZUhISEBiYmKj\nxzLQ19fH6tWr2d4wybN44cKFSEpKQo8ePTBkyBAsW7YM+vr6RPloYoGvB+WZgTIS1F0bArVrNtK1\nIU1uSaiDjxgxgnV7SUhIIPpbAbXv9bq8Fnl5ec5cFwbfyeTf8R2NBBkZGda2h4GwegsJBgwYgAED\nBuDDhw+4cOECXFxcWIWr+sBMzzKNP66gjQdqN5B8rDgZCCuN3b17F3JycmjXrh1mzZpVr2q1sNpn\nXVI1KV6/fg13d3fk5eVBXV0dXl5eRC+GDx8+IDIyEu/fv2cnk6SkpIit0ACgW7duiIiIQI8ePdhF\nPYnKaUVFBSIiInDixAnIycmhtLQUN2/eJCIa//777zh48CBrIzls2DBkZGQgMTGRmNC3efNmbN++\nHUVFRTh8+DA2bNhAFCeM5ORkhIaG4tOnTzh//jzxZ9DaeNJCQ0MD8vLyKCsrQ+fOnYkKg3/++ScC\nAgLYhp+enh5u3LiBlJQU4gaLmpoaJ0VvBitWrICLiwvU1dXx22+/ISYmBqtXryayb/rnn39w7Ngx\npKWlser/0tLSnJSJgP9TJ9q1axf09PQ4qRP5+voiIyMD/fr1w/nz5/H48WO4uroSxc6dOxdTp05F\nYWEhpk+fTkRs3rNnD5KTk2FhYQFZWVm0a9cOR48eRWFhIadJTz6q6JLKvWfPHnZIwc/PD/b29sS2\nnvn5+fD19RVRsZCTk8OmTZsaPTdfCJP5hMGlgfjo0SO4u7tDWVkZHz58wObNmzFkyBDieGlpad6q\nTHxUzZsbwk4Bd+7cgZ2dHQDyRo25uTlmzZqFnJwc2NvbcxoSAWqHigoKCnDhwgXWwnXr1q1EsTt3\n7sTJkydx584ddO3aFcuWLSOK27ZtGyIiIuDh4QFDQ0NkZGSwvyN5b/PFrVu34O3tjXnz5nEeahEG\nn/O+cuUKBAIBNm7ciJkzZ8LIyAgvX74UOxzJ4Fv3/tixY4ks9yQR/7+K4uJiXL58mSXsT5gwgdM6\nq7S0FNevX0d4eDjKy8uJHQOECxV8wJco1bp1a7x79w4VFRVs41JKSopt7pDA398fDg4OrDvU+/fv\nie3raGKfPn1KrBzYGBBej1VVVREX+GmUxRnwJXQz7zlhcFWGpUXHjh0REBAgsv/iurblAobg8i21\nq6qqKqxfv75BO1GaeNrcDMaMGYO9e/fC0NAQ1tbWnIa4hAvWz549Iy6CArUq+kyz2MzMDEeOHCGK\no1XyDQsLw5EjR9i9saGhIdq0aUM0sCFMSnv27FmTDeaXl5cjPT0dNTU1XzWH+Lqo1NTUwNramphM\nPmvWLIwbNw6ZmZno3LkzseoZzbG/efMGv/76a737PHGFd9p4BnUtlZtK1SkwMBCBgYG8Bu3d3NyQ\nnJyM2bNnY9WqVZyJaXzEIP7Xcfz4cQQEBHCyFZYU+A6rA/Qq9Nu2bUNaWhoyMzNhYGDASXXz6tWr\nnHIxoHX7kQTs7OzQtWtXKCsrA6hdn4pb+9QlBhgYGKCmpgZ2dnbExADmvVxUVARVVdX/KZU4FxcX\nPHnyBMrKyuz6jkQ0BKitGwoPNrm4uBCT4r58+YLy8nK0aNECnz9/RnV1NedjDwkJwbFjx7BmzRoi\nohKDAQMGsK5pfNQ+BQIBNm3ahDVr1mDr1q2cegqkQ1t1wfSYdHV1MXv2bLRq1Yp1Pp0yZYqIMmR9\ncHJyQlRUFHr27Al9fX1O35mUlBQqKiogLy+PyspKTn0oDQ0N3ufNgEbcgG/sjBkzkJOTgwULFiAl\nJUVk+JCEWEBzzDRuWjSgydtcsZJGc5DZ4+LiUFFRgdjYWAC19xsXMjnf4VCAn9ubtbU1rK2tcebM\nGU79XEnFA7Vke+Y74kJUzsrK+motJhAI8PbtW17HQQpvb2+sWrVKROVyx44dSE5O/kopvSEUFxfD\nysoKFy9eRL9+/TiT4BUVFRtViVzSkEQvnw+YHs+31u2VlZVYtWpVg4Rumnja3Az4DlwYGhry4g18\naz+bl5eHJUuWEK03SPdIjREviRo3M2D54MED6OnpfSWiVR8aGh4QR4KXhBsWLer2chcsWEAcy3ed\npKioSN3X4/PukxTvgnGhTEtLw/Tp0xsc7GegoKDA5qz7700FZ2dnODo64sSJExg7diy8vLyonJ25\noKldbQHg8OHD+Pvvv/Hx40cMGjQIP/30E5ydnYniaWKFsXnzZly/fh3p6emYMGECUT9+4cKF6NOn\nDy9eEk3st8AMlJGgvrUhnxoB19ySVgffvn07J6edb4HvfuQ7mfw7vqORwEyQCZPHq6ureU2it27d\nGrNnzyaymGcUSBwcHDBjxgwMHz6cU8GZNh6oJTjzseJk8OXLF+jo6MDY2Bj//PMP4uPj0bZtW7i6\nutZLbqAhVTPYsmULtm7dCkNDQyQmJmLjxo1EE6rGxsYwNjbmNBlUF4mJiUhMTOSsqD5q1CiYm5vD\nx8cHurq6WLBgAfE5V1ZWskRyBjo6OqxKHQlqampENkDMJB6XBQxT+CgsLORk7Uhr40mLdu3a4cyZ\nM2jRogV27tyJDx8+iI0RCARfKUcNHToU6enpYmOdnJwgJSWFd+/ewdLSEt26deOkOGNkZISwsDD2\n//fp0wc3btwg+luZmZnBzMwMf/8Bv9vbAAAgAElEQVT9NzXBzNHREW/evEGXLl04NQZjY2PZ+3Hu\n3LmcSITjx4/H4MGDkZGRAW1tbaLGTlRUFE6fPs1+x9ra2ti9ezdmzpzJidDNRxVdUrllZWXZhqey\nsjLxMNOpU6ewbNkyVhU9OTmZJQOQqrvyzU0DWpVtoJaQfuLECWhpaSEvLw+Ojo6cyOTGxsZwdnbm\npcrEV9X8vwLhzQjpusHW1haDBg1CUlISunTpAkNDQ855q6qqUFFRgZqaGk7TtQoKClBWVoaamhoM\nDAxQWlpK9Gx4+fIlunTp8hWRWkpKinhDxwcODg5o0aIF9u3bh3379on8josrB5/zZt7LWVlZrIJx\nz549kZaWxvEsREH7XGgqRfisrCzcvn1bRH2StJGWl5cHHx8fFBYWYty4cTAwMEDv3r3Fxtnb2yMv\nLw/jxo3Dli1bOKmsRUZGIjIyEjk5ORgzZgyrqPtfR/fu3dG9e3dYW1vztgR++PAh+9w8d+4cp3uS\nJjY6OrpZyeR8nXlolMVp8S1l2MrKSt5kMz6orKxEWlqayLOMtGDPEF+4gBmMmTRpEuLj41FVVQWB\nQID8/HxYWlqKve5p4mlzM5g1axb784gRI6Crq0sUB9QOLzx69Ajp6ekYP348Z5eh169fw8DAAK9f\nvyZeZ5SXl8PU1PSr8yO1LGeGBIXxyy+/EA3jCqMpCYDCDSHhn/muU6qrq/H48WNORefExMSvVJvr\nKrp8CzTHHh0djcOHD7PvWjU1NXz8+BH//PMPIiMjYWho2GCthjYeELVUnjJlCjIzMzlZSdMgIiKC\n96D9s2fPWJcGru8/gJ8YxP86DAwM0L59e97KPjTgM6zOgFaFno9t+MGDB9k10oMHD1jC0/r164nc\n/f4LUFZWJnqGCUOYGODp6QmBQMCZGBAbG4uNGzeyw+YdOnTg7KjSXEhLS8ONGzc4xYSEhGD//v0o\nLi7GtWvX2H/nolw2d+5cTJ48Gd26dcObN2+wfPly4ti8vDysWbMGKioqCAsL4/z8GjNmjEhjWlZW\nFu3bt8fq1auJegUyMjIsGZ6pH4oDU6MdMGAAioqKWPX8kydPEtXH6rr4CQQCnDt3DoqKipgyZQrR\nHjIrK4sd/nrz5g3evHlDvFeeOXMmq6iemprKiSwkCdCIG/CNZWrqZWVlKCsra9JjpnXT4guavM0V\nKwk0N5n906dPOHr0KO94vsOhAJ1TnImJCQ4ePMj20PPz84mFbfjGL1++HH/88cc339EktZb63jWk\noiV8kZubK0IkB2oH0IqLizl/FvM+yM3NJV7fMnUUdXV1XLp0Cb169eIkksYXT548qXc9RfL3kkQv\nPz4+nlPPB/g/teWqqipcuXLlq2u0bq1fkvG0uRnwHbiQJNq0aUNcX2F6z7m5ufDy8kJKSgp0dXVF\n9q+NFS+JGjdzntXV1WwNjwRMbXv79u0ivX+SvR9tDU0SEK7RFhQUICcnhziW7zpJXV2d2tWKz7tP\nUryL3Nxc7N27l+VdrFmzRuw6vqlI2w2BGXQ7cOAAJk6cKNZRV5JoaldboFbIaNiwYVi0aBFMTEw4\n8ahoYoXx6dMnVFdXQ0tLC6WlpTh//jymTJnSYAxXJyVJxX4LfAjR0dHRmDhxIlq0aIG3b99i1apV\nRNw/mtySVgfnkjshIeGrvY9AIPhq70+K72Ty7/iORoKFhQWcnJywePFiaGtrIzc3F/7+/hg/fnyT\n5HdwcMC5c+ewa9cumJmZwcrKirWVbuz49PR0XlacDAoLC9mpz2HDhsHOzg4rV64UaV7XBQ2pWhgM\nka1Hjx7Ek1LMpOemTZs4T3oyCAoK4qWoPnfuXFy6dAnZ2dmwsrLi9EL5ll3NnDlz2IlsEixatAh5\neXnQ09NDWloaWrRogaqqKqxevVrsZLLwZGxlZSVev37NKimSfG/CNp5A7XXWVMoSp06dgqenJwoK\nCqCrq4tXr14RTSp/+fLlK7K9mZkZkU37jBkzkJaWhqlTp0JOTg6xsbFo27btNxUGG0JycjLWr1+P\nDx8+wMLCAt26dRM7yc2odV64cAEXL14U+R2X7/z48eOIiIiAkZERDh8+jPHjxxPb/1RVVbEDOqQW\n8QwB/1sQd9wtW7b8pu1bq1atiI6XAR9VdEnl/vHHH+Hs7Iw+ffogPj6eyGlBUqrofHL/FyAjIwMt\nLS0AgJaWFqdJ7FevXkFaWhoJCQmwsLBgB8G45Oarat5cEL5OuRClfH19v/rvExMTERkZyUm5c86c\nOaioqICVlRWOHj3KiQDp6ekJTU1N3L9/Hz/++CNcXV0RGBgoNo6m0DJq1CiR85aVlUVVVRXk5eVZ\n9en6IGwnTwO+5w3UEin8/PxYGzQNDQ3ex/Hw4UPeRQ9JxHOBg4MDxowZg9atW3OOXbduHebNmwd/\nf38YGxvDzc2NqDDGbO7PnDmDs2fPAiBXbXZycoKenh4MDQ2RlJSE3bt3s79ragUuLmAaeFOnTv3q\nd6RkaeF1MNfiEk1scXFxvcfYmErXDTUwSElPfJXFJYn8/HycPHkSZ8+ehaGhIczNzZskb93vKD8/\nnzh22rRpGDhwIKZPn87uRUjh6OiIyspK5Ofno7q6GpqamjA3NyduHNDE842VxLW2ZMkSTqRHYaxb\ntw7u7u4oKCiApqYmtmzZQhR35MgRrFmzBp6eniLOa6TE6qqqKpSVlYmswXv27NnoluU0kHRD6MuX\nLwgODv6mYlF9cHNzg62tLadBKIDu2BcuXIjc3FyEhobi0KFDKCoqgrq6OgYMGABXV9evhuglHQ+I\nWir/+uuvnBW+acBn0P5bFtY1NTVISkriZGHNRwyCwbNnz3Du3DkRQsOhQ4eIcz948ACZmZno3bs3\nunTp0mQqWgMHDoSZmRl0dHTY9RkXEj7NefMZVmdAq0LPxzZceOBu//79LOkpNTWVU24a1FVXZgYe\nJkyYQLSfGDp0KEJDQ9G1a1f238Spu0qCGODn54fg4GAsW7YMixcvho2NDScyeWlpKQIDA5Gfn4+R\nI0fCwMAAnTt3JopllGwZMMRo0ue6kZERUlNTOdUrZ82ahVmzZuHAgQNYvHgxcZwwNDQ0cPr0aWRl\nZUFbW5slV5Ng4sSJkJeXx8CBA78iHpLsoQYOHIhx48bB2NgYT58+RVhYGKZNm4YtW7YQrX9mzZqF\nY8eOYciQIRgxYgSR/fahQ4fY62vFihXscygyMpKIPCtMbs3MzISrqyt++uknuLu7i41lQLNXnj59\nOkaPHo2srCzo6OjwUnSnAY24Ad9YWvVemmOWhAAHH9Dkba5YSaC5yex8XZAZ8B0OBWqfC48fP0ZK\nSgqx2xsDZ2dn/Pzzz3jy5Ak0NTU5Exj5xP/xxx8A+A/p0xIQ+aKqquqrf9u2bRvn623t2rVwd3fH\nmzdv4ODgQLzXFt5jnz59Gh8+fICMjAyUlJQaVWylb9++VPtGSfTyDx8+jOzsbFhYWLA9IFLUd40y\n/ajGjOcbW7efIYymchYEasnQkyZN4iy+tHbtWtjY2MDExAQxMTHw8PAg6sfTxEuixr1u3Tq0bt0a\nQ4cORUxMDNauXUvk1iMQCJCWlsY6JDHCl56enmIdkmhraJKA8LCygoICsTs5ILpO0tPTg4GBAVHc\nDz/8wPk468LV1RV37tzh9O6TFO+C9hpvLlRVVcHHxwfGxsZ4+PAhLzFWvuDz96KNffDgAeLi4hAV\nFYVdu3ZBQ0MDw4cPx4gRI8TWHGliheHg4ABNTU2W7/e/5H4GgLO7HlBbz7G1tcWkSZPw119/cdrr\n8s0taXVwLrkVFRXh6uoqMhQkEAiI13d18Z1M/h3f0UiwtraGkpISvLy8kJ+fj44dO2LatGlN1qz/\n4Ycf8MMPP6CkpAQbNmzAzz//jBcvXjRJPGPF+f79e6iqqnKetCktLUVKSgr09fWRkpKCT58+oaio\nqMHNPw2pmoG0tDRu374NY2NjxMbGEqvNMUVuPrZHtIrq9vb2sLe3R0xMDMLCwvDixQv4+Phg8uTJ\nYokNw4YNw86dO+Hk5ARpaWnU1NRg9+7dnEgv2traOHbsGNq2bYuSkhKsXbsWmzdvhr29vVgyufD3\nxTTguKj80dpZ8oUw2bZjx44QCAQ4evQoSkpKxJJtJ02aBHd3d6xduxYqKiooLi6Gl5cXEWkmJiYG\nycnJ2L59O1q0aIEOHTrA29sb79+/h6mpKfHxb9myBdu2bcPatWthZWWFBQsWiCWTjxo1CgB98ZNp\nPjIK9jNnziQmk0+YMAE2Njbo3bs3nj9/TvQspTleRUVFtqHBICsri/Pimo8quqRye3p64saNG0hN\nTcXYsWOJFAMkpYrOJ/d/AUpKSggKCoKJiQliY2OJ1aguX76MwMBA2NjYYPXq1cjJycHp06fRvn17\n4gn4/v37w8nJiZeqeXPhW0o7JFOuXIdg6oOHhwdxUaguMjMzsXXrVsTFxWHUqFEICAiQyDE1hCtX\nrkAgEGDjxo2YOXMmjIyM8PLly69UzhsTNOe9c+dOnDx5Enfu3EHXrl2JVXbqriukpaWhra2NzZs3\nN0k8Ldq3b89bUejz588YNGgQ9u/fDz09PWKS07dUm0lBU9xtSG2+MZWFgNr7GeDfwAP4D7jQxhYW\nFtY7jNmYZHJmLRQaGoq+ffuiX79+iI+PJ3I3+i8gJiYGwcHBSExMhLS0NE6ePMlp+JkWv//+O0JD\nQ1FZWYnPnz9DV1eXeKj2woULuHv3Lvbu3YuioiJYWFhgwoQJRIN/RUVFOHXqFDw8PNiBEy6giecb\n++LFC3z+/BkWFhbo27cvr722iooKjh07hi5durDkR3H3R25uLtq1a4cePXqwgzVcMHjwYAD8Scq/\n/PILHB0d4eLiAm1tbWRlZcHHx4doWJAZam0uNUJJoWXLlizBghTq6urNop7brl07/Pbbb80Wz9dS\nWRLgM2gvKQtrPmIQDDZs2IAFCxbg6tWr6N69OyoqKojz7tq1C7m5uUhJSYG8vDwCAgI41eSGDRuG\nwsJCtGnTBsXFxZCXl4e6ujrWr18v1pnq1KlT8PPzY524uILmvPkMqzOgVaHnc43XN6zHda2VlJSE\nDRs2cBJFYPD69WsoKCiwAw///vsvNDQ0cO/ePfj4+IiNj4uLQ0VFBUuwZhTUGkJJSQn27dvHEvjd\n3NwgLy+PrVu3Eu+FpaWloaqqCikpKSgoKHAWF3B3d8fw4cMRGxsLdXV1eHh4IDg4mCjWz88P7969\nQ69evfDy5UvIycmhoqIC06dPJ1KPVlJSgpWVlciwN8ka/8aNG1i8eDFKS0uxb98+yMvLY9GiRcRD\n43v27EFISMhXjpAk8Pf35xwjjLS0NHbdYWpqCn9/fwwaNOirYYb60KFDB4wdOxZAbR2RxDW0vvuL\n6zotJCQEx44dw5o1a4jvKwY0e2UasirAf2CCRtxAUsIIXNFceb+DP5qbzP7q1SsRUQquREC+w6FA\n7ZBmaGgoJ2IWg5YtW2LRokVIT0/Htm3b8MsvvzR6PI0YUXOiU6dOuHPnjsj3fPv2bXTq1IkoPiEh\nAR4eHggLC8P8+fOxfv16lJWV4d9//yUSBXJzc4O7uzvCwsJw584drF+/Hq1bt+bUP2oO0PTyGeze\nvRslJSUIDw/HihUr0LZtW1hbWxP1aJvjGqeNHTVqFF68eIHBgwfDwsKCE3GRAUPiZ+Di4kJEjBaG\niooKoqKiOOf+8uUL25s0MzPDkSNHGj1eEjXujIwMhISEsHlJe900Dkm0NTRJgCb3q1evUF5ejvbt\n28PLywuLFy/+ysHhW+BCWK8LhhAO1IpPcHn3SYp3UfcapXEmaUps27YN0dHRmD59Om7cuIHt27c3\naf6ffvqJ/XutXr2aqDZAEysnJ4dBgwax12RUVBQOHjyITZs2ITExsdFihSEQCLBz507i//6/gDt3\n7iAiIgLFxcVo164dWrduTXRfM5g4cSL+/vtv+Pv7Y8GCBZz4VHxzS0IdnG/uVq1awc3NDQsWLBCp\nzfN1mPhOJv+O72hETJgw4SvCY1xcnMRtHb6FuLg4nDt3DvHx8Rg3bhznxRBN/KNHj+Du7g5lZWV8\n+PABmzdvFtuMEYanpydWr16N/Px8KCoqwtLSEpGRkQ0qk9CQqhl4eXlh+/bt8PX1hb6+PvGUzqpV\nq3D8+HHW9ogLJKWoPmDAAAwYMAAfPnzAhQsX4OLigvPnzzcY4+DgAF9fX4waNQqqqqooLi7G+PHj\nOTVQ379/z5JjVVRU8O7dO6iqqhKpIzHf1+nTp9lJWTs7O5akLQ7du3fHvXv3RGzam6JQR0O2nT17\nNoKCgjBjxgx8/PgRysrKsLW1JZoqaygvV2WTzp07Q0pKCm3btiVqSB04cAB+fn7U369AIGAV/+Xk\n5Dipys6ZMwdDhw5FamoqrKysiIqZzPHeunULL168wPLlyzF//nyihuuqVavg4OCAQYMGQUdHBzk5\nObh37x7xhoamEEmbm8HUqVNhYWEBa2tr4maapFTR+eT+L8DHxwf+/v7YvXs39PT0iBtZx48fR3Bw\nsEiT09LSEkuWLCEmkzs5OSEqKgo9e/aEvr4+5yZec6A+pR1xBRBGteXZs2d4/vw55syZA2dnZ9jZ\n2RHlFXa2YMCQG0hVRKqrq1FYWAgpKSmUlpZyUvXjC4ZwkZWVBSMjIwC1RaaGCLySBs15KygoQFlZ\nGWpqajAwMEBpaSnRgAxTOGUGBbmCNp4WI0eOxM6dO0XUCMXZvzFQUFDA3bt3UVNTg2fPnjUJsYzm\nXS1c2BdGUyiQrF69mjoHU6hhyJvMzyTPBprYLl26cCI+SArDhg0DUKscwwxZ9u/fnzM5uTkwdepU\n6OnpYebMmRg4cCAWLlzYpERyoHZ9GBUVBS8vL8ybNw8bN24kjpWWlsbw4cMB1DoIBAUF4ezZszA3\nNxe7rmf2euXl5VBUVORMqKOJ5xt76dIlJCUl4eLFiwgICICJiQksLCyIFU6BWjviuqQGcc0sFxcX\n9rlw8OBBVt2WFMKKnXwwadIktGrVCjt37kR2djY6duyI2bNnsw2fhsBlXfT/Gjp27IiAgAARJcTG\nHKz5r2DixIm8LJUlAT6D9ioqKjA1NYWpqamIwjfXvVtdMYiysjKxYhAM2rRpA3Nzc0RHR2PZsmWc\n1HYeP36MkJAQzJ49G5aWlpydD0xMTODo6Ag9PT1kZmZi7969WLp0KVavXi22fqmlpYUff/yR9/6B\n5rz5DKtLSoWezzVOM6wnjK1bt3IWRWDw4cMHVplt5syZsLOzg4+PD2xsbIjiP336xLkh7+npySpL\nb968Gba2tujevTu2bt1KrELfqVMn+Pr6ori4GAEBAZyJO8XFxbCyssLFixfRr18/Tq4aioqKuHjx\nIhQUFFBRUYFly5Zhz549sLW1JSKTP3r0CDExMcSOn0Dt4HJGRgZGjhyJTZs2oUWLFtDS0sKGDRuI\nyUZSUlJYunSpyOAaKdGWtt4pLy/PDng+ffoU8vLyePHiBaqrqxuMi4uLw5s3b3D06FF2DV9TU4OQ\nkBCEh4c3GFvf/UV6r+Xl5WHNmjVQUVFBWFgYsZiCMGj2yjRkVYD/wETdgQ5h5c3GjKVBc+X9jv9d\nBAUFoaioiHVq4Kr8TzMcymeImIGUlBQKCgpQVlaGT58+cSa+8In/X92rubm5YfHixTh16hR0dHSQ\nmZmJwsJCsc5ADHbs2AFvb2/IycnBz88Pf/75Jzp37owFCxYQiQLt2LED27dvh7y8PK94vliyZAlV\nPE0vXxjv3r1DTk4OioqKoK+vj6tXryIsLEwsSa85rnHa2LVr16Kmpgb37t2Dv78/SkpKYGZmhvHj\nx4utc4eEhGD//v0oLi7GtWvXANT2cITXDY2N6upqvH79GgYGBnj9+jXnPQmfeEnUuL98+YLy8nK0\naNECnz9/FrumZEDjkERbQ5ME9u7di5CQEBGRSlJS/oYNG7Bu3Trs2bMHv/32G3x8fDiRTvng4cOH\nLJmceb6QQlK8i7rXKBccOnQIlpaWTe4QBNT21Jle1IQJE3gNmUgKNM5ppLHx8fF4/Pgx4uLikJqa\nCkNDQ0yZMoWIiE4TKwwDAwP8888/6NGjB/tv4p7jzBqusrKSHdbIzc2FmpqaWEEsmlig9h0SFRWF\nOXPmQE1NDTk5OTh48CAyMzNZUQxxsLKywvTp0+Hj44MdO3Zg/vz5RDUZmty06uA0udu1a4fdu3dj\n+fLlSEhIgKenJ6SlpXnvHb+Tyb/jO5oY3t7eYq1kJIFjx47B2toaW7du5VWwp4n38/PDiRMnoKWl\nhby8PDg6OnIikxsZGWHDhg0IDg5GdHQ03r9/TzzRzIdUzeD+/fsiqlvHjx/n1FjhA0koqgujdevW\nmD17NpFamqysLFxdXeHs7IyioiK0adOGU6EfAHr16gUnJyf06dMHz549Q48ePRAZGQk1NTXizwgN\nDUVYWBiAWpKAra0tUeGZafwlJSVBQUEBLVq04HTsfEFLtiX9+9RFixYtJELyVVFRwcmTJ1FeXo6I\niAgiG7bCwkJOOepD//79sXz5cvTv3x+PHz9G3759xcYUFBSgtLSUteUyMDBATU0N7OzsiJ+le/bs\nYTdxfn5+sLe3ZwlY9aFbt244ceIEbt68ifz8fPTq1QtLly6FktL/x96Zx9WU/3/8dVPJUk2Lkilb\nShj7GjMZaUy2a2mhr5GfdUyyhESbSmVJaowlfIdElMJEZRqyRHyHZhhC2hClhboR0XLv748e53y7\nofs553O7je/0/OsW7/s+p3vuOZ/l9X692xPlpFmIpM3NEB4ejtOnT2Px4sUwMDCAnZ0dW13+MeTl\nis4n99+BQ4cOSRVPBQcHSzlJfgxlZeX33LLat29P1JkjOjpa6md1dXUUFxcjOjqaeELUXNAudGzY\nsAEhISEAgBUrVmDt2rWs40Jj0LiHMLi4uMDBwQElJSWYMWMG6xghi4qKCva7mJmZiYyMDPTp04eT\nyFldXR2hoaHo168fbt68iQ4dOvA6Bz7wPW+gThShp6eHq1evom/fvnBzc8O+ffuI4z09PTkLfeQZ\nz5fExER0796drRzncj/csGEDNm/ejLKyMuzfvx8+Pj5NdJTyoTmdR+RBw5aQiorl2oVJ3rx58wbX\nrl1D3759cfPmTSl3v78r/fr1w59//omUlBTo6+s3S1vFDh06QFVVFa9fv0aXLl04tdPcsmULkpOT\nMWzYMCxcuBD9+vWDWCzG9OnTZYoCx40bhx07dsDMzAz29vbEbpvyiKeJNTU1xerVqwEAN27cQHBw\nMAoLC3Hs2DGi+IYFF8XFxTJj6s+NU1NTOYvJJRIJqqurPzjHJi3usbS0JBKPN6S53QgB4NGjR3j8\n+DF69uyp0O9ZdXU1Hj58KFUsRyIgacydWZEu33xxcHDAyJEjkZmZiW7duvFybOMLTaE9rcN3fTMI\nAwMDeHt7yzSDYFBSUkJWVhYqKyuRm5uL8vJy4ry1tbV49+4dBAIBamtrOQu7CwsLWXFe586d8ezZ\nM3Tp0oXomV5VVYUpU6bAxMSE/V5xca7kc97r1q376L/JKmiTlws9n2u8qKgI0dHRkEgkUq9JngEN\n4WqKwPDq1SuUlpZCW1sbZWVlePXqFduVhAQTExMkJCRIFcjI6thTUlICR0dHVFRU4MGDB5g6dSoE\nAgEqKyuJj9vX1xcxMTEYPHgw2rRpw6stMTN/KSws5DReLSsrYzsqqaqqoqysDKqqqsSC9K5du+LF\nixfQ19cnzpmWloaoqCjU1NTg0qVLuHjxItq0aUMs+gcAGxsb4v8rb7Zu3YqwsDAkJyfD1NQUW7Zs\nwe3btxEQENBonIaGBp4/f46qqiqUlJQAqJtvurq6ysxZWVmJR48eQSwW4+3bt1KvSZg4cSJUVVUx\nYsQI+Pn5Sf0b6T2NZq5M28mEb8EEY27w7t07HDt2DI8ePYKJiQnRsdDEMly4cAGtW7eWWiM9d+5c\nowU68sjbwj+LM2fOIDQ0FMbGxsjKyoKzs7PMLsL1oSkO5VNEzODs7IyzZ89iypQpsLKy4nTMfOOZ\nMbNIJOI1nm5s75m0uIYP2traOHbsGG7evImCggKMHz+eaK+NQSwWw8zMDEVFRaisrESfPn0AgHhM\n/bH4pp5z/h32l+zs7KCmpgY7OzssX76cnauSdGBujmtcHrGMoYKFhQVEIhF8fHzg7++Pv/76q9E4\nZp4aFhZGND9sCry8vODu7o7c3Fx069YNgYGBCo3ni6OjIzvnzM7OxrJlyzjFq6ioICUlBRKJBBs2\nbMDy5csxefLkRmPksYZGy4ULF3DhwgVepouqqqowMTFBdXU1BgwYoBDzKJruQPLSXTDXaElJCfT0\n9Dh1823bti2WLFmCDh06wMbGBhYWFk1+H/9QkQmAZjGRYqA5Z9LY4OBgjBo1Cj/88AN69+7NKSdN\nbH2uX78uJeIWCARITk5uNIYp5li9ejVWrVoFAwMDFBUVERkr0cQCdeY29YtLzMzM8OWXX2LevHnE\n2omgoCBWPO/l5SXzfOWRm9YdnPa8dXR0cPDgQfj7+8PR0RHbt2/nfc20iMlbaEHBKMo1YNu2bUhP\nT0daWho7+Z00aZJC4lu1asUuGOvr67ML0LKoqqpCQkICIiMjoaqqioqKCiQnJ/MaNHIRVdO69DRs\nW10fWYuv8nBUp0VZWZm3kG39+vVITk5GTk4OhEIhvv76a+Tm5nJy1FVSUpJyqyZ9oEkkEvj5+WHd\nunUICAjg3BKML/IS23KlTZs2cskbGBiIsLAwaGlpIT09XebGBpPnYxvKpC4/0dHRWLlyJVJTU5Ge\nno5hw4YROXDVb8vl5eUFAMRtuRiUlZXZFtTq6urEk0h1dXXei340rui0uRk0NDQwa9YsjBgxArt2\n7cKqVatgaGiIRYsW4ZtvvvlgjLxc0fnkbk5iYmIQGxuLnJwctl1ebW0tampqiMTkH/sekmxmMRuG\n/0RUVFTY9ptGRkbE303GPRO8ZNoAACAASURBVKSwsBCBgYHIyclB165dGxVZNERdXR1JSUlse3vS\ne6mTkxMiIiJw/PhxHDlyBCNGjMCRI0cwbdo04gns1q1bERUVhYsXL6JHjx5EbaEvXbrEOrWtW7cO\njx49QqdOneDr6ytVSS4LvucNAHl5eQgICEBaWhosLS2xd+9e4ligbnEqMDBQyp2IS8EEbTxfVFVV\nOTkW14epBP/UsLS0lLo21NXViYsz+fKx9m9cOg7QOAvRxNZ3qywqKkJtbS0EAoHCnLYDAgIQFBSE\nhw8fwsTEROFtIfng4+ODt2/f4syZM/Dy8kJWVhaOHDmCCRMmKKyjSceOHREbG4s2bdogODgYr169\nIo7t2rUrTpw4ISVmU1JSwo4dO2TGzpo1i309evRodO3aldNx08TT5q6oqMDZs2cRHx+PyspKCIVC\n4tgff/wRR48eZQV8Xbt2RUJCQqMxtPOrv/76C9bW1uy9BPjvfYV08fhT5fDhwzh79izKy8sxdepU\n5OXlfbT7hLzhUzgAANbW1h902uT6edGK6LnGNyx+NjMz41z8TAtNoT2tw3e/fv1w4sQJAHWbobGx\nsVi0aBFR7Nq1a5GVlYXZs2dj9erVnISgc+bMwfTp01FaWgo7OzvOXTk6dOiArVu3si7Curq6SE1N\nJeqexrWwpSF8zjs9PR1v376FUCjEwIEDOa0t07rQ01zjkydPZue79V9zWZ9mzoGrKQLD0qVLYW9v\nj/bt2+PNmzfw9PTEgQMHYGtrSxTfUBBH0rGH+Q7euHEDQ4YMYe8jXMTkgYGBUvdtrk5tnp6ecHd3\nR05ODpYtW8apqHXs2LFwcHBAv379cOfOHVhaWuLIkSMwMTEhiv/zzz/ZLpjMuctyFGTGVLdv34aJ\niQn7NyQp9nvz5g1OnDiBtm3bYurUqQoRjjRES0sL8+fPZ0WIjx49InJ2NDU1hampKezs7NCuXTs8\nffoUnTt3Jir4U1NTY9dJW7duLfWahF27dhH9v8agmSvLo5MJ34IJoO5e/Pnnn8Pc3Bx//PEH3N3d\niedRfGN9fHzw6tUr1NTUIDw8HDt27ICqqioiIiKIuj3QHHML/yzCw8PZ+WpFRQXmzJnDSTjKtzg0\nMzMTTk5OnAvWGIYOHYqhQ4cCAC93a5p4vuNp5j5069YttGnTBgMHDsSdO3dQU1PTpGJyhoEDB3IS\nkTMw+7GXL19mnXurq6vx+vVrqniuTtuKhmYvn4HpMt4QEqfT5rzGaWLFYjFSU1ORkJCA+/fvw8LC\ngjWIawx/f38cPXoUqampmD9/vtQchlSc7Ofnx2tMfPfuXXh4eCAmJgbff/891q9fj9evXyM/Px9m\nZmZNGi+PNW6hUAgLCwu2w4SWlhZRHENISAiCg4Ph6+uLo0ePYsWKFTLF5H+HNTQdHR3OpocMAoEA\na9asgYWFBRITEzl1RucLTScueeguamtr0atXLxw/fhwVFRVQU1Pj9PdzcHCAg4MDsrKyEBYWhvXr\n18PGxgaOjo68uhaRMGvWLMyaNatZikw+NCeVSCSoqKho0lgAnLudySu2PjRmSk+fPmX3uvT19fHs\n2bMmj1VRUXlvjqeqqko07zt+/DhsbGzQq1cvZGVlsWsZ9+/fJ3oG0uSmdQenyc3kUFZWho+PD44f\nPw4HB4cWZ/IWWvhUUJQb1NKlS1FdXY3i4mLU1tZCT0+P02I9TXz79u1x6NAhDB06FDdu3CAecFha\nWmLSpEnYunUrunbtigULFvASknOF1qVHT0+PWsxE46jenIhEIlRWVkJPTw9lZWW82o+PHTsW//rX\nv9CvXz/cvXuX2PmtVatWbKsnxo1KEchLbNtcebdv3w57e3tOrcTU1NRkOi81xk8//YSsrCy24KBH\njx7YtGkTysvLZXYdoGnLxdC3b1+sWrUKAwYMwJ07d9C7d29e78MHPq7o8iIyMhJxcXFo3749bG1t\nsWnTJtTU1MDe3v6jgm55uaLzyd2cTJkyBebm5tizZw9++OEHSCQSKCkpEXdZ+NBCpEQiYReUG8PZ\n2Zl9ff78edZhSFHXSXPSqVMnbNu2DQMGDMDt27el2j6R4OnpCQcHBwwdOhTXr1+Hh4cH28JcFqGh\noRCJRJg+fTomTZrE2Rk2NjYWERERaNeuHaqrq+Ho6Eg8FmjdujXU1dWho6ODnj17oqKiQmYruZ9+\n+gk7d+6Et7c3li9fjqFDhyIjIwPr169/z92+MWjOu7a2FqWlpRAIBKioqOC8Sc9sbrx48YJTnLzi\n+dKpUyfs2bNHqupf1iaamZkZNDU1P7hoSdKasbH3lxUfHBz80fkG6ULkr7/+CqDuPpaens7+3JT0\n6NGDk6vn34ns7Gz4+fkhIiICc+bMgaamJoqKiuDu7o5x48Y1eX5jY2OpVsZ83D6bAzU1NUybNg3T\npk1DTk4OYmNjIRQK2aKupoKZYw0cOBCtWrWCqakpJBIJ7O3tZcbW1tYiOTkZ3bt3h0QigZeXF6qr\nq+Hs7AxDQ0MYGhp+NJbGVZY2njZ3YmIiEhMTUVBQgHHjxsHX17fRc/0Q58+fR0pKCgIDAzF37lwi\n4ZFIJEJqairEYjHKy8ul7n8kYob+/ft/8h0X+MIU6c+ZMwf/93//p1C3Vj6FAwDea3FaVlYmJUQk\ngVZEzydeHsXPtNAU2tM6fAN14s/IyEikpqZyeu7dunWLdek5ceIEp5bQAwcOxJEjR/D48WMYGhpC\nJBJxOuYtW7YgOjoaKSkpMDU1xdKlS3Hv3j0iV/bevXtj3759KC4uxpgxY9CzZ09Oufmc9+nTp5GZ\nmYlTp05h7969GDp0KIRCIbp06UKcl68LPc01Xn+uS0NDUwQujoBjxozB6NGjUVpaCh0dHQgEAlhY\nWBDHHzp0CK9evUJ+fj6MjIyIXNH19PSwbds2XLlyBU5OTqioqMDBgweJrhV5ObXl5+dLzRMTExOJ\n18KWLFmCsWPHIjc3FzY2NjA1NUVpaSmxS3j94yZFWVkZV65cwcmTJ9n7yI0bN4gKB9auXYvOnTvj\n5cuXePToEfGcR564u7vj1q1bqKysxNu3b2FkZETcvQWouy/s3r0btbW1bHGVk5NTozG0Yxx5dFHh\nM1dm4CtWZaApmACA58+fs4XfVlZWRIYntLGZmZk4cuQIgLrPb8WKFdi1axfx5j7NMbfwz0IgELDP\nq/bt2xMXmTDwKQ4NCQnB77//jqqqKs7i9WXLlmH79u0fvAeQrKHRxgP8x9PMfsD8+fOlTDfmzZtH\nFN9cmJubY+bMmSgsLMTu3buRl5cHPz8/TJgwQSHxtPz8889ETuANodnLf/bsGX7++Wdoa2tj7Nix\nWLp0KWpqauDr6ytzH6ehaUd9SES6NPG0uX18fJCWloZhw4bB3t4egwYNkhnD8OWXX0IoFKK4uBjf\nfvst+3sScfKHxsQSiYR4X3vLli3YtGkTVFRUEBoain//+9/o0qULFixYQCQkpImnWeOuqKjA+vXr\n4evri88++wyXL1/G/v37sWHDBk57tGpqaqwwu0OHDkTrKs25hsbcS58/f45p06bx6gIWEhKCO3fu\nwMLCAr///rtcuhvLgikckEgkyM7OZl+TFA7Q6i4yMzOxZMkSxMbGQlNTE//5z3+wadMmhIWFEX9P\nXr58iYSEBMTFxUFdXR0eHh6ora3F999/T1z4wJULFy5gzJgx+Oyzz97b12xq46iPrU2SFGXRxP5d\nSE5OxpEjR9gOBCKRCKdPnyaKNTY2hqurK9ttm+lI0pSxH7tvkcyd4uLi2LXwDRs2sOtu169fb/Lc\nAJ07OE3uhl0sbGxsYGJigtDQUKLcDWkRk7fQQhMxY8aM977sEokEubm5CslfVlaG6OhoeHh4wMvL\ni7NLD018UFAQdu3ahZCQEBgbGxMv8s+ZMwenT59Gfn4+bG1tFebiXt+lp7i4mHURKSgoIGrJqa6u\nLrc21lwc1eVFTEyMVJuNiIgIIkd2gM4Bi8HJyQljxozBw4cPMXXqVKKqYKCuevHgwYMYNWoURo8e\njcGDB3POzQd5iW0rKiogEAhw9uxZjBkzRmbRhbzyDh48GEFBQXj9+jWmT5+OCRMmyCza0NXVZVtq\n8iElJQXHjh1j74mGhoYICQnBzJkzZYrJGTQ1NeHt7c26EhUXFxNV+wN1rbfPnTuH3NxcfPvtt5wq\n73Nzc9n213zg64ouj9zFxcUIDg6WKoxRUVF5r31tQ+This43d3OhqqoKQ0ND2NjY4Ny5c3B0dMSq\nVaswf/58og3Xjw3EGzoQNIavry9EIhEGDBiAmJgYXLt2DWvWrCGO/xTZuHEjjh49ikuXLsHY2Fjm\nZmlD3r17x36frayscODAAeLYsLAwlJSUIC4uDvPmzYOxsTFRp4bXr19DJBKhQ4cObJW/srIykWMa\ng7e3N/T09HD16lX07dsXbm5u2LdvX6Mxqqqq7JiEcREhfV7Wh+95A4CLiwscHBxQUlKCGTNmwMPD\ng1NuZ2dnXL16FU+ePEH//v05L5bRxvOlpqYGjx49wqNHj9jfydrkdnNzQ0pKCoyMjCAUCjFkyBBO\nOUk3uz4EzXODob47zODBgxWy+KqqqkrlDt6cbN26lW1F36FDBxw6dAiPHz+Gp6enQsTkoaGhiIqK\n4izc/DuwatUqBAcHw9jYGG5ubgoR/9Qv9EpISMCkSZOkXHcaw83NDRKJBK9fv0ZhYSEsLS1hYGAA\nd3d3mWJAGldZ2nja3CtXrkT37t1hZmaGzMxMqY4LpJs6HTp0gKqqKl6/fo0uXboQPTf79OmD+Ph4\nAHXizfrXtSKFunydsJoT5ppmrmtFtSQG+BUO1OfGjRvw9fVlBXWdOnWSWq9oDFoRPZ94eRQ/00JT\naN/Q4Zu0k9aHOgueO3eOyBCCpjtgZmYmioqKpJ696enpCA4ORlxcHNGxA3XfiQEDBrAdfm7fvs2O\nsWXh7u4OCwsL3LhxA7q6uvDw8MDhw4dlxtF2RTQ1NcXq1asB1H1PgoODUVhYSCxY5etC/3e4xiMi\nIthzB+qePSQdxAAgNTUV4eHhePfundT7kZKUlMRZ5Ms4QC1evBhWVla4desWysrKiIpbaJ3aLly4\ngD///BMJCQm4efMmgLrrLDk5mVjg9ezZM1y+fBnv3r1Dbm4ufvvtN06FAVlZWVi/fj1evnwJoVAI\nExMTmR0sPTw8sG3bNujq6sLBwQGXL19GUFAQ0aZnWVkZtm/fDolEwnn/Q15kZGQgISEB3t7ecHFx\nwfLlyznFHzhwAMeOHcP8+fPh5OQEGxsbzusjzQGfuTLDkiVL8OzZMxgYGHAuUgT4F0xUVVUBqFub\nvn37Nvr164eMjAyijj00sUDd36uqqgqqqqqYPXs2CgoK4O/v3+R5W/jnYWRkhE2bNmHIkCFIS0tj\nu0KSwqc49Pfff2e7iCxZsoSTmHz79u0A+K+F0cYD9MZVpaWlePnyJTQ0NFBWVsa50JEvd+7cQd++\nfTnHLVq0CGPHjkX79u2hr6+PvLw8zJgxg9gEiDaelkuXLuH//u//OHeloNnLX7NmDSZPnozy8nLM\nnj0b27dvR8eOHeHm5kYkJk9PT8fIkSMhFArRqVMnTrlp4mlzR0VF4bPPPsNvv/32XsGgrO+cq6sr\nXF1dsXPnTuJ9YAZTU1NcuXKF95hYLBbDzMwMRUVFqKysZMWLpPuzNPE0a9zr169H37592YKg8ePH\no7i4GD4+Pti6dSvx+7Rv3x4LFizAjBkzEBkZKdPIqLm5evUqfvzxR6r3WLJkCTvHHTFihDwOSyY0\nTs+0uouAgABs27aN1ZZYWVlBW1sb/v7+xE7Wtra2EAqF2LZtm9S94f79+7yPSxbl5eUA6goHFA2J\noUpTxP5dCA0NhZ+fH6KiojB8+HCkpqYSx27YsAFnz57Fo0ePMGHCBKKuSrSxH+vyQGLiV3/v42Ov\nmzo3X3dwmtwfWtfs168f9u/fT5S7IS1i8hZaaCIUIbpoDGYDp7KyEmpqapwd0fnEM9Vk6urqcHNz\n43zMCxcuxMKFC3H9+nXExMQgPT0dQUFBmDJlCkxNTTm/H1fqu4hUVlaic+fORJsyX3/9dZMfW1Pw\noY2s2tpaZGVlEYvJaRywGB4/foyUlBRUV1cjNzcXR44cIRKc1q9kHj9+PGdRNQ20YlsXFxd8/fXX\nuHnzJsRiMc6ePYudO3c2eV6g7u/27bffori4GBs3bkRgYCDS0tIajfniiy+ocrZt2/a9e4iKigqR\noxODj48PFixYgKSkJJiamrIL6SRMnz4dQqEQ9vb2xK2cGTw8PDi3+q4PjSs6Te7o6GgsXboUysrK\nSEtLQ1ZWFusi1dSVss2Zm5YNGzawAqkVK1Zg7dq1iIyMlBknj4KijIwM9vOeM2cOJyH6p8qyZctg\nZ2eH2bNnc178BeqeWQ8ePEDPnj3x4MEDzmMdZiNPLBYT5x80aBCcnJzw+PFjHDhwALNnz4aDgwOn\ne3NeXh4CAgKQlpYGS0tLKeeaj9GnTx/4+flh4MCBcHd3x5gxY1gRPlf4nDdQ9wxKSkpCaWkptLS0\nOP+9+bohyiueL5qamli7di2nmLlz52Lu3LnIycnB6dOn8dNPP2HgwIEQCoWcxN4PHjyAu7s7ioqK\noKuri8DAQJnPEWYRsqamBtHR0cjOzkbXrl2JnQQBaXfzkpIShbSKt7W1bfIcTUVlZSW7eccUkHXp\n0gU1NTUKyX/hwgUq4WZzUlVVhYyMDHTr1k1hHbzqi89u3brFScD+9OlTREVFoba2FhMmTGDdHkjE\n+7SusjTxtLm5iO4+RseOHREbG4s2bdogODgYL1++lBlDu1DPOOjyhdYJqzmZNGkSZs2ahYKCAixc\nuJDTIj8tfAoH6hMaGorDhw9j6dKlWLx4MRwcHIjF5LQiepp4muJnWmgK7cePH4+RI0eyDt+km8w0\nnQVpugO+fPkSiYmJePHiBXvvFQgEnNeinJ2dUVZWBgMDA/ZzJxWTi0Qi2Nra4tSpUxg0aBDEYjFR\nHG1XRKDOlODs2bOIj49HZWUlhEIhcSytC72BgQH+9a9/cRIIM5AWbTUkJiYGsbGxyMnJYTuXiMVi\nVFdXE4vJN27cCHd3d3Ts2JFzfoCfyLd169ZS1+SAAQMwYMAATnm/++47hIaGoqioiHXAJ3lum5mZ\nQSQSoXXr1mzxrUAgwMSJE4lzL1++HObm5mwraq74+/tj48aN8PT0hK2tLRYsWCDzWuncubOUcPyr\nr74i7tbGXFsCgYD4+yhvmPnxmzdveIl1WrVqBVVVVfYZxMespTngIwh//fo1Vq1aBZFIhM8//xyP\nHz+GtrY2tm3bRrS2T1swwRSFSCQS/P7771BRUUF1dTWRczNNLAA4Ojpi0qRJiIqKgra2NtasWQMv\nLy/88ccfTZq3hX8eGzduRHR0NK5evQpjY2PiZyYDn+JQZtzcpk0bzmshK1eu/Og4gaR4mTYeoDeu\nWrx4MaZOnQpNTU28evWKei5Kyv79+5Gfnw+hUAihUEjU0YOh/ppy586dORcd0MbTUFZWhq+++gqG\nhobss5PERZdmL18sFrMd7X799VdWrErS9dPT0xNisRhXrlzBrl27UF5eDisrK4wfP55ozkkTT5s7\nIyND5v+RxfTp07Fs2TLk5OSga9eucHd3lym29vf3x9GjR5Gamor58+dLifBIjpsxAbp8+TLMzc0B\n1HVFef36NdEx08TTrHEXFBRI3beUlZUxf/58zo7NP/74I/Ly8tCjRw9kZmYSrako6r71IXr06EG9\nx6qpqYmDBw+iW7du7Fy3qY0oaIxxaHUXYrH4vWKiQYMGcVqDO3jwoNScLyEhARMnToSLiwvVsTVG\nUVERAPl1MWuBHD09PQwcOBBRUVGYPn06Tp48SRz75s0b1NbWQl9fHxUVFfjll1+I98T5xqqpqcHN\nzU2qo7lEIiEqxq0/LvzY66bKTesOTpNb3rSIyVtooYn42ADC1dUVQUFBTZ5/3Lhx2LlzJ8zMzGBv\nb080oaGNP3DgALs4vGLFCt4tE4YNG4Zhw4bh5cuXiIuLw5o1a9h25E0JXxcRPu20/g7IYyOLtmIf\nqBN0fPPNN/jzzz+hp6eHN2/ecH4PRQrJ5UFxcTGmTJmC2NhYHDp0iNj9Sx4UFBTg5MmT+O2339j2\nzLLgUxxSHzU1NTx58kTq2nry5AmnzUQtLS1MmjQJqampWLp0KadWnuHh4Th9+jQWL14MAwMD2NnZ\nYeTIkUSxbdu2RWBgoNQElMvEncYVnW/un376CVlZWRAKhVBWVkbHjh0RHh6O0tJSzg4AXGnO3PJA\nRUWFXfg0MjJSiICSoVOnTigsLETHjh3x/Plz3pvdnxJr1qzB8ePHsWPHDowaNQq2trac3Ka9vLzg\n7u6O4uJi6Ovrc5pMOTo6oqqqCra2tggPDyceJzFu3BKJBG/evEGbNm3YTiyk1NbWorS0FAKBABUV\nFUTX2bp16xAXF4crV66grKwMZ86cweDBg4nFVQx8zxuoE3eJRCJMnz4dkyZN4jy25OuGKK94vmRn\nZ7PuQlwxNjbGihUrUFhYiE2bNmHKlCm4c+cOcby/vz8CAgJgZmaG+/fvw9fXl7jFoLe3NzQ0NDBq\n1Chcv34dnp6eMp10Hz58iG7dukkJ3s3MzIiFHDRwca36u1Hf6XLXrl3sa2bjoamhFW42J48ePZIS\nZJG0upUnXIVtzIZVq1atpDpYkQqXaF1laeJpYuVRNOfn54dnz57B2toaJ0+e5N3ylwu0Bem07rDN\nyXfffQdzc3NkZmaie/fu6Nmzp8Jy8ykcqI+SkhI+++wzCAQCtG7dmlMB8sSJE6lE9DTxNMXPtHTq\n1Iktth8/fjzu3bsnM2bdunUf/TeSQg6azoL1uwNeu3YNeXl56N+/P1Hh95AhQzBkyBDcvXuXU1vd\nhrx48YKqbTPjCFRYWEhcnElz3omJiUhMTERBQQHGjRsHX19fzk6+fF3oGQICAjgLhBnmz5/Pywlp\nypQpMDc3x549e9j7sJKSEnR0dIjfw8DAgHj950M0l8iXccC/fv06Jwf8Dh06YNq0aRg/fjzv9Yx2\n7dpRCwi6dOkCgUAAbW1tTvdxPkgkErZVd/3XgOI6c/Tp0wc///wz9PT04OLigrdv33KKHzx4MFau\nXImioiJ4e3tzcpndtGkT5+JnWmgE4cHBwbC2tpYSEMTExGDLli1E5jK0BRPnz58n+n/yjgXqiv2+\n+eYb9roUCATw9/dni0/OnTv3wbEHbd4W/jncuHGDfW1qasrOh27dukVcNAcofo2B1lBFHoYsfMbT\n9WH2fUpKSqCrqwsVFRXqYyIhJCQE5eXliI+Px/Lly6GtrQ17e3sMHz5cIfmbi7CwMF5xNHv59cf8\n9cc2pHviSkpKsLCwgIWFBUQiEXx8fODv74+//vqryeNpc9Pi5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68GUFfcExwcjMLCQhw7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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10de839b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(50, 50))\n",
    "sns.heatmap(adj_df, cbar=False)\n",
    "plt.savefig('/Users/James/Projects/FinalYearReport-Manuscript/img/ML/similarity_heatmap.png', bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "G=nx.from_pandas_dataframe(equivalent_names, 'Name_A', 'Name_B', True)\n",
    "UG = G.to_undirected()\n",
    "sub_graphs = nx.connected_component_subgraphs(UG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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a(t,e,r){for(var n=0,i=Math.min(t.length,r),a=e;a<i;a++){var o=t.charCodeAt(a)-48;n<<=4,n|=o>=49&&o<=54?o-49+10:o>=17&&o<=22?o-17+10:15&o}return n}function o(t,e,r,n){for(var i=0,a=Math.min(t.length,r),o=e;o<a;o++){var s=t.charCodeAt(o)-48;i*=n,i+=s>=49?s-49+10:s>=17?s-17+10:s}return i}function s(t,e){this.name=t,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).ishln(this.n).isub(this.p),this.tmp=this._tmp()}function l(){s.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function u(){s.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function c(){s.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function h(){s.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function f(t){if(\"string\"==typeof t){var e=i._prime(t);this.m=e.p,this.prime=e}else this.m=t,this.prime=null}function d(t){f.call(this,t),this.shift=this.m.bitLength(),this.shift%26!==0&&(this.shift+=26-this.shift%26),this.r=new i(1).ishln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv.sign=!0,this.minv=this.minv.mod(this.r)}\"object\"==typeof t?t.exports=i:e.BN=i,i.BN=i,i.wordSize=26,i.prototype._init=function(t,e,n){if(\"number\"==typeof t)return this._initNumber(t,e,n);if(\"object\"==typeof t)return this._initArray(t,e,n);\"hex\"===e&&(e=16),r(e===(0|e)&&e>=2&&e<=36),t=t.toString().replace(/\\s+/g,\"\");var i=0;\"-\"===t[0]&&i++,16===e?this._parseHex(t,i):this._parseBase(t,e,i),\"-\"===t[0]&&(this.sign=!0),this.strip(),\"le\"===n&&this._initArray(this.toArray(),e,n)},i.prototype._initNumber=function(t,e,n){t<0&&(this.sign=!0,t=-t),t<67108864?(this.words=[67108863&t],this.length=1):t<4503599627370496?(this.words=[67108863&t,t/67108864&67108863],this.length=2):(r(t<9007199254740992),this.words=[67108863&t,t/67108864&67108863,1],this.length=3),\"le\"===n&&this._initArray(this.toArray(),e,n)},i.prototype._initArray=function(t,e,n){if(r(\"number\"==typeof t.length),t.length<=0)return this.words=[0],this.length=1,this;this.length=Math.ceil(t.length/3),this.words=new Array(this.length);for(var i=0;i<this.length;i++)this.words[i]=0;var a=0;if(\"be\"===n)for(var i=t.length-1,o=0;i>=0;i-=3){var s=t[i]|t[i-1]<<8|t[i-2]<<16;this.words[o]|=s<<a&67108863,this.words[o+1]=s>>>26-a&67108863,a+=24,a>=26&&(a-=26,o++)}else if(\"le\"===n)for(var i=0,o=0;i<t.length;i+=3){var s=t[i]|t[i+1]<<8|t[i+2]<<16;this.words[o]|=s<<a&67108863,this.words[o+1]=s>>>26-a&67108863,a+=24,a>=26&&(a-=26,o++)}return this.strip()},i.prototype._parseHex=function(t,e){this.length=Math.ceil((t.length-e)/6),this.words=new Array(this.length);for(var r=0;r<this.length;r++)this.words[r]=0;for(var n=0,r=t.length-6,i=0;r>=e;r-=6){var o=a(t,r,r+6);this.words[i]|=o<<n&67108863,this.words[i+1]|=o>>>26-n&4194303,n+=24,n>=26&&(n-=26,i++)}if(r+6!==e){var o=a(t,e,r+6);this.words[i]|=o<<n&67108863,this.words[i+1]|=o>>>26-n&4194303}this.strip()},i.prototype._parseBase=function(t,e,r){this.words=[0],this.length=1;for(var n=0,i=1;i<=67108863;i*=e)n++;n--,i=i/e|0;for(var a=t.length-r,s=a%n,l=Math.min(a,a-s)+r,u=0,c=r;c<l;c+=n)u=o(t,c,c+n,e),this.imuln(i),this.words[0]+u<67108864?this.words[0]+=u:this._iaddn(u);if(0!==s){for(var h=1,u=o(t,c,t.length,e),c=0;c<s;c++)h*=e;this.imuln(h),this.words[0]+u<67108864?this.words[0]+=u:this._iaddn(u)}},i.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e<this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.sign=this.sign,t.red=this.red},i.prototype.clone=function(){var t=new i(null);return this.copy(t),t},i.prototype.strip=function(){for(;this.length>1&&0===this.words[this.length-1];)this.length--;return this._normSign()},i.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.sign=!1),this},i.prototype.inspect=function(){return(this.red?\"<BN-R: \":\"<BN: \")+this.toString(16)+\">\"};var p=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],g=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],m=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];i.prototype.toString=function(t,e){if(t=t||10,16===t||\"hex\"===t){for(var n=\"\",i=0,e=0|e||1,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);a=s>>>24-i&16777215,n=0!==a||o!==this.length-1?p[6-l.length]+l+n:l+n,i+=2,i>=26&&(i-=26,o--)}for(0!==a&&(n=a.toString(16)+n);n.length%e!==0;)n=\"0\"+n;return this.sign&&(n=\"-\"+n),n}if(t===(0|t)&&t>=2&&t<=36){var u=g[t],c=m[t],n=\"\",h=this.clone();for(h.sign=!1;0!==h.cmpn(0);){var f=h.modn(c).toString(t);h=h.idivn(c),n=0!==h.cmpn(0)?p[u-f.length]+f+n:f+n}return 0===this.cmpn(0)&&(n=\"0\"+n),this.sign&&(n=\"-\"+n),n}r(!1,\"Base should be between 2 and 36\")},i.prototype.toJSON=function(){return this.toString(16)},i.prototype.toArray=function(t){this.strip();var e=new Array(this.byteLength());e[0]=0;var r=this.clone();if(\"le\"!==t)for(var n=0;0!==r.cmpn(0);n++){var i=r.andln(255);r.ishrn(8),e[e.length-n-1]=i}else for(var n=0;0!==r.cmpn(0);n++){var i=r.andln(255);r.ishrn(8),e[n]=i}return e},Math.clz32?i.prototype._countBits=function(t){return 32-Math.clz32(t)}:i.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},i.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0===(8191&e)&&(r+=13,e>>>=13),0===(127&e)&&(r+=7,e>>>=7),0===(15&e)&&(r+=4,e>>>=4),0===(3&e)&&(r+=2,e>>>=2),0===(1&e)&&r++,r},i.prototype.bitLength=function(){var t=0,e=this.words[this.length-1],t=this._countBits(e);return 26*(this.length-1)+t},i.prototype.zeroBits=function(){if(0===this.cmpn(0))return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},i.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},i.prototype.neg=function(){if(0===this.cmpn(0))return this.clone();var t=this.clone();return t.sign=!this.sign,t},i.prototype.ior=function(t){for(this.sign=this.sign||t.sign;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},i.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},i.prototype.iand=function(t){this.sign=this.sign&&t.sign;var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},i.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},i.prototype.ixor=function(t){this.sign=this.sign||t.sign;var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},i.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.setn=function(t,e){r(\"number\"==typeof t&&t>=0);for(var n=t/26|0,i=t%26;this.length<=n;)this.words[this.length++]=0;return e?this.words[n]=this.words[n]|1<<i:this.words[n]=this.words[n]&~(1<<i),this.strip()},i.prototype.iadd=function(t){if(this.sign&&!t.sign){this.sign=!1;var e=this.isub(t);return this.sign=!this.sign,this._normSign()}if(!this.sign&&t.sign){t.sign=!1;var e=this.isub(t);return t.sign=!0,e._normSign()}var r,n;this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++){var e=r.words[a]+n.words[a]+i;this.words[a]=67108863&e,i=e>>>26}for(;0!==i&&a<r.length;a++){var e=r.words[a]+i;this.words[a]=67108863&e,i=e>>>26}if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},i.prototype.add=function(t){if(t.sign&&!this.sign){t.sign=!1;var e=this.sub(t);return t.sign=!0,e}if(!t.sign&&this.sign){this.sign=!1;var e=t.sub(this);return this.sign=!0,e}return this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(t.sign){t.sign=!1;var e=this.iadd(t);return t.sign=!0,e._normSign()}if(this.sign)return this.sign=!1,this.iadd(t),this.sign=!0,this._normSign();var r=this.cmp(t);if(0===r)return this.sign=!1,this.length=1,this.words[0]=0,this;var n,i;r>0?(n=this,i=t):(n=t,i=this);for(var a=0,o=0;o<i.length;o++){var e=n.words[o]-i.words[o]+a;a=e>>26,this.words[o]=67108863&e}for(;0!==a&&o<n.length;o++){var e=n.words[o]+a;a=e>>26,this.words[o]=67108863&e}if(0===a&&o<n.length&&n!==this)for(;o<n.length;o++)this.words[o]=n.words[o];return this.length=Math.max(this.length,o),n!==this&&(this.sign=!0),this.strip()},i.prototype.sub=function(t){return this.clone().isub(t)},i.prototype._smallMulTo=function(t,e){e.sign=t.sign!==this.sign,e.length=this.length+t.length;for(var r=0,n=0;n<e.length-1;n++){for(var i=r>>>26,a=67108863&r,o=Math.min(n,t.length-1),s=Math.max(0,n-this.length+1);s<=o;s++){var l=n-s,u=0|this.words[l],c=0|t.words[s],h=u*c,f=67108863&h;i=i+(h/67108864|0)|0,f=f+a|0,a=67108863&f,i=i+(f>>>26)|0}e.words[n]=a,r=i}return 0!==r?e.words[n]=r:e.length--,e.strip()},i.prototype._bigMulTo=function(t,e){e.sign=t.sign!==this.sign,e.length=this.length+t.length;for(var r=0,n=0,i=0;i<e.length-1;i++){var a=n;n=0;for(var o=67108863&r,s=Math.min(i,t.length-1),l=Math.max(0,i-this.length+1);l<=s;l++){var u=i-l,c=0|this.words[u],h=0|t.words[l],f=c*h,d=67108863&f;a=a+(f/67108864|0)|0,d=d+o|0,o=67108863&d,a=a+(d>>>26)|0,n+=a>>>26,a&=67108863}e.words[i]=o,r=a,a=n}return 0!==r?e.words[i]=r:e.length--,e.strip()},i.prototype.mulTo=function(t,e){var r;return r=this.length+t.length<63?this._smallMulTo(t,e):this._bigMulTo(t,e)},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.imul=function(t){if(0===this.cmpn(0)||0===t.cmpn(0))return this.words[0]=0,this.length=1,this;var e=this.length,r=t.length;this.sign=t.sign!==this.sign,this.length=this.length+t.length,this.words[this.length-1]=0;for(var n=this.length-2;n>=0;n--){for(var i=0,a=0,o=Math.min(n,r-1),s=Math.max(0,n-e+1);s<=o;s++){var l=n-s,u=this.words[l],c=t.words[s],h=u*c,f=67108863&h;i+=h/67108864|0,f+=a,a=67108863&f,i+=f>>>26}this.words[n]=a,this.words[n+1]+=i,i=0}for(var i=0,l=1;l<this.length;l++){var d=this.words[l]+i;this.words[l]=67108863&d,i=d>>>26}return this.strip()},i.prototype.imuln=function(t){r(\"number\"==typeof t);for(var e=0,n=0;n<this.length;n++){var i=this.words[n]*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[n]=67108863&a}return 0!==e&&(this.words[n]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.mul(this)},i.prototype.ishln=function(t){r(\"number\"==typeof t&&t>=0);var e=t%26,n=(t-e)/26,i=67108863>>>26-e<<26-e;if(0!==e){for(var a=0,o=0;o<this.length;o++){var s=this.words[o]&i,l=this.words[o]-s<<e;this.words[o]=l|a,a=s>>>26-e}a&&(this.words[o]=a,this.length++)}if(0!==n){for(var o=this.length-1;o>=0;o--)this.words[o+n]=this.words[o];for(var o=0;o<n;o++)this.words[o]=0;this.length+=n}return this.strip()},i.prototype.ishrn=function(t,e,n){r(\"number\"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=n;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o){this.length-=o;for(var u=0;u<this.length;u++)this.words[u]=this.words[u+o]}else this.words[0]=0,this.length=1;for(var c=0,u=this.length-1;u>=0&&(0!==c||u>=i);u--){var h=this.words[u];this.words[u]=c<<26-a|h>>>a,c=h&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip(),this},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.testn=function(t){r(\"number\"==typeof t&&t>=0);var e=t%26,n=(t-e)/26,i=1<<e;if(this.length<=n)return!1;var a=this.words[n];return!!(a&i)},i.prototype.imaskn=function(t){r(\"number\"==typeof t&&t>=0);var e=t%26,n=(t-e)/26;if(r(!this.sign,\"imaskn works only with positive numbers\"),0!==e&&n++,this.length=Math.min(n,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.prototype.iaddn=function(t){return r(\"number\"==typeof t),t<0?this.isubn(-t):this.sign?1===this.length&&this.words[0]<t?(this.words[0]=t-this.words[0],this.sign=!1,this):(this.sign=!1,this.isubn(t),this.sign=!0,this):this._iaddn(t)},i.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(r(\"number\"==typeof t),t<0)return this.iaddn(-t);if(this.sign)return this.sign=!1,this.iaddn(t),this.sign=!0,this;this.words[0]-=t;for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.sign=!1,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,n){var i,a=t.length+n;if(this.words.length<a){for(var o=new Array(a),i=0;i<this.length;i++)o[i]=this.words[i];this.words=o}else i=this.length;for(this.length=Math.max(this.length,a);i<this.length;i++)this.words[i]=0;for(var s=0,i=0;i<t.length;i++){var l=this.words[i+n]+s,u=t.words[i]*e;l-=67108863&u,s=(l>>26)-(u/67108864|0),this.words[i+n]=67108863&l}for(;i<this.length-n;i++){var l=this.words[i+n]+s;s=l>>26,this.words[i+n]=67108863&l}if(0===s)return this.strip();r(s===-1),s=0;for(var i=0;i<this.length;i++){var l=-this.words[i]+s;s=l>>26,this.words[i]=67108863&l}return this.sign=!0,this.strip()},i.prototype._wordDiv=function(t,e){var r=this.length-t.length,n=this.clone(),a=t,o=a.words[a.length-1],s=this._countBits(o);r=26-s,0!==r&&(a=a.shln(r),n.ishln(r),o=a.words[a.length-1]);var l,u=n.length-a.length;if(\"mod\"!==e){l=new i(null),l.length=u+1,l.words=new Array(l.length);for(var c=0;c<l.length;c++)l.words[c]=0}var h=n.clone()._ishlnsubmul(a,1,u);h.sign||(n=h,l&&(l.words[u]=1));for(var f=u-1;f>=0;f--){var d=67108864*n.words[a.length+f]+n.words[a.length+f-1];for(d=Math.min(d/o|0,67108863),n._ishlnsubmul(a,d,f);n.sign;)d--,n.sign=!1,n._ishlnsubmul(a,1,f),0!==n.cmpn(0)&&(n.sign=!n.sign);l&&(l.words[f]=d)}return l&&l.strip(),n.strip(),\"div\"!==e&&0!==r&&n.ishrn(r),{div:l?l:null,mod:n}},i.prototype.divmod=function(t,e){if(r(0!==t.cmpn(0)),this.sign&&!t.sign){var n,a,o=this.neg().divmod(t,e);return\"mod\"!==e&&(n=o.div.neg()),\"div\"!==e&&(a=0===o.mod.cmpn(0)?o.mod:t.sub(o.mod)),{div:n,mod:a}}if(!this.sign&&t.sign){var n,o=this.divmod(t.neg(),e);return\"mod\"!==e&&(n=o.div.neg()),{div:n,mod:o.mod}}return this.sign&&t.sign?this.neg().divmod(t.neg(),e):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e)},i.prototype.div=function(t){return this.divmod(t,\"div\").div},i.prototype.mod=function(t){return this.divmod(t,\"mod\").mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(0===e.mod.cmpn(0))return e.div;var r=e.div.sign?e.mod.isub(t):e.mod,n=t.shrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:e.div.sign?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){r(t<=67108863);for(var e=(1<<26)%t,n=0,i=this.length-1;i>=0;i--)n=(e*n+this.words[i])%t;return n},i.prototype.idivn=function(t){r(t<=67108863);for(var e=0,n=this.length-1;n>=0;n--){var i=this.words[n]+67108864*e;this.words[n]=i/t|0,e=i%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),u=0;e.isEven()&&n.isEven();)e.ishrn(1),n.ishrn(1),++u;for(var c=n.clone(),h=e.clone();0!==e.cmpn(0);){for(;e.isEven();)e.ishrn(1),a.isEven()&&o.isEven()?(a.ishrn(1),o.ishrn(1)):(a.iadd(c).ishrn(1),o.isub(h).ishrn(1));for(;n.isEven();)n.ishrn(1),s.isEven()&&l.isEven()?(s.ishrn(1),l.ishrn(1)):(s.iadd(c).ishrn(1),l.isub(h).ishrn(1));e.cmp(n)>=0?(e.isub(n),a.isub(s),o.isub(l)):(n.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:n.ishln(u)}},i.prototype._invmp=function(t){r(!t.sign),r(0!==t.cmpn(0));var e=this,n=t.clone();e=e.sign?e.mod(t):e.clone();for(var a=new i(1),o=new i(0),s=n.clone();e.cmpn(1)>0&&n.cmpn(1)>0;){for(;e.isEven();)e.ishrn(1),a.isEven()?a.ishrn(1):a.iadd(s).ishrn(1);for(;n.isEven();)n.ishrn(1),o.isEven()?o.ishrn(1):o.iadd(s).ishrn(1);e.cmp(n)>=0?(e.isub(n),a.isub(o)):(n.isub(e),o.isub(a))}return 0===e.cmpn(1)?a:o},i.prototype.gcd=function(t){if(0===this.cmpn(0))return t.clone();if(0===t.cmpn(0))return this.clone();var e=this.clone(),r=t.clone();e.sign=!1,r.sign=!1;for(var n=0;e.isEven()&&r.isEven();n++)e.ishrn(1),r.ishrn(1);for(;;){for(;e.isEven();)e.ishrn(1);for(;r.isEven();)r.ishrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.ishln(n)},i.prototype.invm=function(t){return this.egcd(t).a.mod(t)},i.prototype.isEven=function(){return 0===(1&this.words[0])},i.prototype.isOdd=function(){return 1===(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){r(\"number\"==typeof t);var e=t%26,n=(t-e)/26,i=1<<e;if(this.length<=n){for(var a=this.length;a<n+1;a++)this.words[a]=0;return this.words[n]|=i,this.length=n+1,this}for(var o=i,a=n;0!==o&&a<this.length;a++){var s=this.words[a];s+=o,o=s>>>26,s&=67108863,this.words[a]=s}return 0!==o&&(this.words[a]=o,this.length++),this},i.prototype.cmpn=function(t){var e=t<0;if(e&&(t=-t),this.sign&&!e)return-1;if(!this.sign&&e)return 1;t&=67108863,this.strip();var r;if(this.length>1)r=1;else{var n=this.words[0];r=n===t?0:n<t?-1:1}return this.sign&&(r=-r),r},i.prototype.cmp=function(t){if(this.sign&&!t.sign)return-1;if(!this.sign&&t.sign)return 1;var e=this.ucmp(t);return this.sign?-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=this.words[r],i=t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},i.red=function(t){return new f(t)},i.prototype.toRed=function(t){return r(!this.red,\"Already a number in reduction context\"),r(!this.sign,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return r(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return r(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},i.prototype.redAdd=function(t){return r(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return r(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return r(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},i.prototype.redISub=function(t){return r(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},i.prototype.redShl=function(t){return r(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},i.prototype.redMul=function(t){return r(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return r(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return r(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return r(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return r(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return r(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return r(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return r(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};s.prototype._tmp=function(){var t=new i(null);return t.words=new Array(Math.ceil(this.n/13)),t},s.prototype.ireduce=function(t){var e,r=t;do this.split(r,this.tmp),r=this.imulK(r),r=r.iadd(this.tmp),e=r.bitLength();while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},s.prototype.split=function(t,e){t.ishrn(this.n,0,e)},s.prototype.imulK=function(t){return t.imul(this.k)},n(l,s),l.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];e.words[e.length++]=a&r;for(var i=10;i<t.length;i++){var o=t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}t.words[i-10]=a>>>22,t.length-=9},l.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e,r=0,n=0;n<t.length;n++){var i=t.words[n];e=64*i,r+=977*i,e+=r/67108864|0,r&=67108863,t.words[n]=r,r=e}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},n(u,s),n(c,s),n(h,s),h.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*t.words[r]+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},i._prime=function t(e){if(v[e])return v[e];var t;if(\"k256\"===e)t=new l;else if(\"p224\"===e)t=new u;else if(\"p192\"===e)t=new c;else{if(\"p25519\"!==e)throw new Error(\"Unknown prime \"+e);t=new h}return v[e]=t,t},f.prototype._verify1=function(t){r(!t.sign,\"red works only with positives\"),r(t.red,\"red works only with red numbers\")},f.prototype._verify2=function(t,e){r(!t.sign&&!e.sign,\"red works only with positives\"),r(t.red&&t.red===e.red,\"red works only with red numbers\")},f.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.mod(this.m)._forceRed(this)},f.prototype.neg=function(t){var e=t.clone();return e.sign=!e.sign,e.iadd(this.m)._forceRed(this)},f.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},f.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},f.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},f.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},f.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.shln(e))},f.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},f.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},f.prototype.isqr=function(t){return this.imul(t,t)},f.prototype.sqr=function(t){return this.mul(t,t)},f.prototype.sqrt=function(t){if(0===t.cmpn(0))return t.clone();var e=this.m.andln(3);if(r(e%2===1),3===e){var n=this.m.add(new i(1)).ishrn(2),a=this.pow(t,n);return a}for(var o=this.m.subn(1),s=0;0!==o.cmpn(0)&&0===o.andln(1);)s++,o.ishrn(1);r(0!==o.cmpn(0));var l=new i(1).toRed(this),u=l.redNeg(),c=this.m.subn(1).ishrn(1),h=this.m.bitLength();for(h=new i(2*h*h).toRed(this);0!==this.pow(h,c).cmp(u);)h.redIAdd(u);for(var f=this.pow(h,o),a=this.pow(t,o.addn(1).ishrn(1)),d=this.pow(t,o),p=s;0!==d.cmp(l);){for(var g=d,m=0;0!==g.cmp(l);m++)g=g.redSqr();r(m<p);var v=this.pow(f,new i(1).ishln(p-m-1));a=a.redMul(v),f=v.redSqr(),d=d.redMul(f),p=m}return a},f.prototype.invm=function(t){var e=t._invmp(this.m);return e.sign?(e.sign=!1,this.imod(e).redNeg()):this.imod(e)},f.prototype.pow=function(t,e){var r=[];if(0===e.cmpn(0))return new i(1);for(var n=e.clone();0!==n.cmpn(0);)r.push(n.andln(1)),n.ishrn(1);for(var a=t,o=0;o<r.length&&0===r[o];o++,a=this.sqr(a));if(++o<r.length)for(var n=this.sqr(a);o<r.length;o++,n=this.sqr(n))0!==r[o]&&(a=this.mul(a,n));return a},f.prototype.convertTo=function(t){var e=t.mod(this.m);return e===t?e.clone():e},f.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},i.mont=function(t){return new d(t)},n(d,f),d.prototype.convertTo=function(t){return this.imod(t.shln(this.shift))},d.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},d.prototype.imul=function(t,e){if(0===t.cmpn(0)||0===e.cmpn(0))return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).ishrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},d.prototype.mul=function(t,e){if(0===t.cmpn(0)||0===e.cmpn(0))return new i(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).ishrn(this.shift),o=a;return a.cmp(this.m)>=0?o=a.isub(this.m):a.cmpn(0)<0&&(o=a.iadd(this.m)),o._forceRed(this)},d.prototype.invm=function(t){var e=this.imod(t._invmp(this.m).mul(this.r2));return e._forceRed(this)}}(\"undefined\"==typeof e||e,this)},{}],56:[function(t,e,r){\"use strict\";function n(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],u=l.length;for(r=0;r<u;++r){var c=o[s++]=new Array(u-1),h=0;for(n=0;n<u;++n)n!==r&&(c[h++]=l[n]);if(1&r){var f=c[1];c[1]=c[0],c[0]=f}}}return o}e.exports=n},{}],57:[function(t,e,r){\"use strict\";function n(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function i(t,e,r,i){for(var a=0,o=0,s=0,l=t.length;s<l;++s){var u=t[s];if(!n(e,u)){for(var c=0;c<2*e;++c)r[a++]=u[c];i[o++]=s}}return o}function a(t,e,r,n){var a=t.length,o=e.length;if(!(a<=0||o<=0)){var 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