safe-rl_report.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:55:59.711948Z",
     "start_time": "2024-03-01T04:55:59.692320Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import scipy\n",
    "sns.set_style(\"whitegrid\")"
   ]
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "data = {}\n",
    "stats = {}\n",
    "data['a2c'] = pd.read_csv('results_safe_rl_report/a2c_0_50/summary.csv')\n",
    "data['dqn'] = pd.read_csv('results_safe_rl_report/dqn_0_50/summary.csv')\n",
    "data['ppo'] = pd.read_csv('results_safe_rl_report/ppo_0_50/summary.csv')\n",
    "data['trpo'] = pd.read_csv('results_safe_rl_report/trpo_0_50/summary.csv')\n",
    "\n",
    "full_data = pd.concat([df.assign(identity=k) for k,df in data.items()])\n",
    "full_data.rename(columns={'identity': 'algorithm'}, inplace=True)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:55:59.735678Z",
     "start_time": "2024-03-01T04:55:59.716347Z"
    }
   },
   "id": "b9cbb78a68145d6c",
   "execution_count": 3
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/finn/miniconda3/envs/ps-safe-rl/lib/python3.8/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n",
      "/Users/finn/miniconda3/envs/ps-safe-rl/lib/python3.8/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n",
      "/Users/finn/miniconda3/envs/ps-safe-rl/lib/python3.8/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n",
      "/Users/finn/miniconda3/envs/ps-safe-rl/lib/python3.8/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": "<seaborn.axisgrid.FacetGrid at 0x169a04520>"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 500x500 with 1 Axes>",
      "image/png": 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Oh5e7RuaKLq17kCcCPN1gMFtw8GyV3OUQKY4sQV1WVobnnnsOr7/+OnQ6XfPrubm5iIuLa7FsTEwMcnJy7F0ikUP78NdjqG40oW8XX0xOjZK7nFZJkoT+0f4AgMzTFbDwyVpELdj9z2yLxYKZM2fi7rvvRu/evVt8rba2tkVwA4CHhwfq6uqsHsdsNrdreWvXUxr2oSxy9FFWa8DibScAAI9eGwMhLOjI8BaLBWq1GhYBCGGbQ9O9w7yxNa8MFfVG5BY17VV39nvGz5SysA9ArVa3aTm7B/UHH3wArVaLadOmXfA1nU6H6uqWj79raGiAl5eX1eNkZ2e3q772rqc07ENZ7NnHp1nVqDOY0StAg8CGfOzbV9Ch7el0OvTt2xfl+jIU6ms6qcoLdfdT4Yjegl8PFwEADh8+jPr6+k4fh58pZXHlPgYMGNCm5ewe1N988w2Ki4sxcOBAAE1BDAA//vgjnnrqKWzZsqXF8nl5eYiNjbV6nMTExDb/tQI0/TWUnZ1t9XpKwz6Uxd59lNY0Yv3XvwIAZt2QhJTeoR3epsXStBcdEBgEs9a7w9u7lMG+RhzJOIUT5QbkFdcgPr5zbyfjZ0pZ2Efb2T2o161b1+Lf52/N+uc//4ny8nK89tprWLRoEaZOnYrdu3dj9erVmDdvntXjqNXqdr1p7V1PadiHstirj4+3nES90Yz+UX64rm94pz5rWiUBkmS7y1oCvNzRI9gLx0trsXjbCbx0Uz+bjMPPlLKwj8tT1IQnAQEBWLBgAdatW4f09HTMnj0bs2fPxuDBg+UujUjxSqob/3du+rq4Tg1pe0k+d1HZyt1nUMVHYBIBkGGP+o/++c9/tvh3YmIili1bJlM1RI7rw1+PosFoQXK0P66OD5G7nHaJDtAh1McdxdWN+GLnadx3RU+5SyKSnaL2qImofYqrG/BpxkkAwKPXxTrk3jTQdKvWkJ5ND+v4bPspCN6qRcSgJnIGH/xyrHlv+qo4x9ybPq9/lB88tWocK63FjuN8WAcRg5rIwRVXNWDJub3px0Y65rnp33N3U2NcUgQAYPnO0zJXQyQ/BjWRg3v/l2NoNFmQ2tUfV8YGy11Op/hzWjQAYE32WT6rmlweg5rIgRVXNWDpdufZmz4vOdof8WE+aDRZ8O2+fLnLIZIVg5rIgc3bdBSNJgsGdgvA8Bjn2JsGmi4qu2VQ0171Mh7+JhfHoCZyUIWVDfhsxykAjnvfdGsmpERCq1bhQEEVss9Uyl0OkWwY1EQO6r+b8mAwWTCoewCGxQTJXU6nC/DS4k/9wgEAy3aekrkaIvkwqIkcUGFlAz7f0XRI+DEn3Js+78/nDn9/u68AdQaTzNUQyYNBTeSA5m3Kg8FsQVqPQAzp5Xx70+cN7hmEroGeqG40YU3WWbnLIZIFg5rIwRRU1GPZub1pR56FrC1Uqv9dVLZy9xmZqyGSB4OayMGc35tO7xGIob2c50rvS5mQEglJArYf1+O0vk7ucojsjkFN5EDyK+qbZ+t6bGSczNXYR4S/DkPPHd7/ai/vqSbXw6AmciDzfs6D0SwwpGcQBvd03nPTfzQxJQoAsGrPGT6og1wOg5rIQZwpr8MXu/53btqV/KlfOHRuapwoq8OeUxVyl0NkVwxqIgfxn5+PwmgWGNorCOkutDcNAF7uGow5d0/1qj28qIxcC4OayAGc1tdhxS7XOjf9R5MGNB3+Xp1ZgEaTWeZqiOyHQU3kAOZtyoPJIjA8JhiDugfKXY4sBvcMQhc/D1Q1mLDxULHc5RDZDYOaSOGa9qabDvc+NtK1zk3/nlolYXxKJADgyz28+ptcB4OaSOHe29i0N31FbDAGdHPNvenzJp4L6k2Hi1FW0yhzNUT2waAmUrBTZXVYee7iqUevc81z078XG+aDpCg/mCwC32YWyF0OkV0wqIkU7N2NuTBbBK6MC8GAbgFyl6MI5/eqV/HwN7kIBjWRQp0sq8WqczNxPeZi9023Zlz/CGhUErLzK3GkqFrucohsjkFNpFDvbsyD2SJwdXwIUrpyb/q8IG93XB0fCoB71eQaGNRECnSitLZ5Xmuem77Q5AFNh7+/3psPs4VTipJzY1ATKdA7585NXxMfguRof7nLUZxreofCT+eGwqoGbD1aKnc5RDbFoCZSmGMlNfiae9OtcteoMa5/FwDAVzz8TU6OQU2kMO9uzINFANf2DkV/7k1f0oRzT9Rau78QtY0mmashsh0GNZGC5BZV4+t9bdubttjpcY9qtdou41grtas/ugd5ot5oxvoDhXKXQ2QzGrkLIKL/efPHIxACGJ0QhsQov1aXVUkS1mafhb7WYNOaugV5YnhsiE3HaA9JkjAhJQpv/ngEX+3Nx8TUKLlLIrIJBjWRQuzPr8T32YWQJODxkfFtWkdfa0BxtW2n0gzwVO6viQkpkXjzxyPYnFeKwsoGhPt5yF0SUafrtEPfNTU1nbUpIpf0xg9HAAA39o9AfLiPzNU4hq5BnhjUPQBCAN/s40Vl5JysDuq0tLSLvn711Vd3tBYil7X7ZDk25hRDrZJ4pbeVzl9UtmpPPoSdztsT2VObjmmdPHkSzz//PIQQqKmpwR133NHi6zU1NfD19bVJgUSu4PUNhwEAk1Oj0CPYS+ZqHMv1iV3w4uoDOFxUjYNnq5AQ0fq5fSJH06ag7tatG0aNGoXy8nLs2bPngr1qrVaLESNG2KRAIken0+la/frWvFJsPVoGN7WEv10bY6eqnIefpxuu6xOK77MLsWpPPoOanE6brxKZOnUqACAqKgrjx4+3VT1EDssiBFSS1OI1tVqNvn37XnIdIQT+fW5v+ra0rogK8LRpjc5qQkoUvs8uxDf7CvDMmN7QqHnnKTkPqy/nHD9+PLKysnD8+PELzgcxwMmVXex2KSEsKCsrQ1BQECTpwvA4XFiNPacq4KaWEO7ngaUZJ9s0VvcgTwxT4C1TcrkqLgSBXlqU1jRic15p80M7iJyB1UH9xhtv4KOPPkJISAg0mv+tLkkSg5pc3h9vlxLCgkJ9Dcxa7wuCWgiBtecm6kiK9EeD0YIGY9tutQrw1HZe0U5Aq1FhXFIXfLLtJFbtyWdQk1OxOqi/+eYbvP/++7jqqqtsUQ+Ry8grrkFJdSPc1BIGdONjLDtqYmoUPtl2EhsOFqK6wQgfDze5SyLqFFafyKmrq8OVV15pi1qIXIbZIrD1WBkAICU6ADqtMqfpdCRJUX7oGeKFBqMFa/dzSlFyHlYH9dVXX43Vq1fbohYil3GgoBIVdUbo3NRI7eYvdzlOQZIkTDo3jSifqEXOxOpD342NjZg1axbef/99BAcHt/ja4sWLO60wImdlMFmQcUwPAEjvEQh3DfemO8tNyRF4bf1hbDtWhvyKekT6t35rHJEjsDqo4+LiEBfHmZOI2mv3yXLUG83w17mhXyTv+e1MUQGeSO8RiO3H9fh6bz4euob3pZPjszqo//rXv9qiDiKXUNNowp5T5QCAoTFBUKuky6xB1pqUGoXtx/VYtecMHry6FySJ7zE5NquD+plnnrnk1+bOnduhYoic3fZjZTBZBLr4eSAmxFvucpzSmMRw/N83+3G0pBbZ+ZVIivKXuySiDunw9D3l5eVYu3YtPD05oxJRa8pqGnGgoAoAMDwmmHt6NuLj4YZRCeEAmh7UQeTorN6jvthe89atW/HZZ591SkFEzkgIgd9ySyEA9ArxQgQvcrKpiSmRWJ1ZgNWZBXju+j5w45Si5MA65dM7dOhQZGRkdMamiJzSibI6nNTXQSUBw2KCL78CdcgVscEI9tairNaATYdL5C6HqEM6HNQmkwlff/01AgMDO6MeIqdjFgK/5p6b3KRrAKf/tAONWoXxyZEAgBW7TstcDVHHWH3ou3fv3hecW1Or1Xjuuec6rSgiZ5JbZkRlvRGeWjUGdedUofZy86BozN98HBtzilFS3YhAT6t/3REpgtWf3D9OaqJSqdCtWzeEhPBJPkR/VNtowsFSIwBgWK9gTm5iR3FhPkiO9se+0xX4em8+7hnWTe6SiNrF6kPfaWlpGDhwIDw8PFBaWgoACAoK6vTCiJzBtmN6mCxAmI87+nTxkbscl3PzwGgAwBe7Tl/wWF4iR2H1HnVJSQkeeOAB5OTkwN/fH+Xl5ejevTsWLFiA8PBwW9RI5JAKqxpw8Gw1AODKON6OJYcb+nfBS98dQG5xDTLPVMpdDlG7WL1H/a9//Qvdu3fHjh07sGXLFmzfvh19+vThZCdEv2MRAj/nFAMAuvlp0MXPQ+aKXJOvhxvG9usCAFix+4zM1RC1j9VBnZGRgb///e/w8vICAPj4+ODFF1/Etm3bOr04IkeVdaYSxdWN0GpU6B/Gq7zlNOXc4e/vss6iwWSRuRoi61kd1BaL5YJDeJIkwc2ND2knAprm8952tOl2rGG9AuGh4SFvOQ3uGYhuQZ6oaTQj40yj3OUQWc3qoE5PT8eLL76Iuro6AEBtbS1efPFFpKWldXpxRI7o1yMlMJgtCPf1QL8IX7nLcXmSJGHKgKbnVG88USdzNUTWszqoZ86ciaysLKSlpWH48OFIT09Hbm4uZs2a1eZtbNu2DVOmTEFqaiqGDRuGl19+GQ0NDQCAzMxMTJkyBSkpKRgxYgRWrFhhbYlEsjlSVI3c4hpIAEb0DuUFZAoxaUAUJAk4UGLE8dJaucshsopVQS2EgMlkwpo1azB//nw888wzePjhh7Fq1SqEhYW1aRt6vR73338/br31VuzatQtfffUVduzYgQ8//BCVlZWYMWMGxo8fj507d2LOnDmYO3cusrKy2tUckT01GM1YnVkAAEiO9keIj7vMFdF5Xfx0uCq2aa6H5bt4URk5ljYHdV1dHW699Va8+uqr0Gg0GDx4MAYPHoz33nsP06ZNaz4UfjmBgYHYunUrJk6cCEmSUFFRgcbGRgQGBmLDhg3w9/fH1KlTodFoMGTIEIwbNw5Lly5td4NE9vLmD0egrzPC212DwT05t4DS3JbWdFHZyt1n0Ggyy1wNUdu1Oaj/+9//ws3NDX//+9+bXwsKCsLPP/8Mk8mEDz74oM2Dens3PYf3qquuwrhx4xASEoKJEyciNzcXcXFxLZaNiYlBTk5Om7dNJId9pyvw0W/HAADXxIdAq+HTmpTm6vgQBOtUKK8zYt3+QrnLIWqzNk94sn79enz00UcXzEIWFBSEv//973j00Ufx2GOPWTX4hg0bUFlZiSeffBIPP/wwwsLCoNO1fPyfh4dHm/fWf89stu4v5vPLW7ue0rAP+2s0WTBzRSYsAugf5YcewZ4Qouk2IItFNP9XperMW4OatiWEpXksWznXAoSAzcdqGqdpjM7+3ksQ+FO8L5bsq8Cn207ihkTHnKDJkX42WsM+mp6T0RZtDuqysjJ063bxuXL79OmDkhLrHyXn4eEBDw8PzJw5E1OmTMG0adNQXV3dYpmGhobme7atkZ2dbfU6HVlPadiH/Xy+vxq5xbUI9tZiSKQWhYUX7q0VFxd16pjhHhYAkaioqERhSUWnbvtSY1VW2n4sAPBXBcIiRJt/ibWVWq3G38YOwOdZG7HrZDnySuoQH940ravJbMbBAwdgNBo7dUxbcoSfjbZw5T4GDBjQpuXaHNTe3t4oLy9HQMCFT/+pqKi4YE/4Uvbs2YNnn30W3377LbTapokgDAYD3NzcEBMTgy1btrRYPi8vD7GxsW0ts1liYqJVP+hmsxnZ2dlWr6c07MO+DhRU4avDTZP9vHxTP5TVNEDr9b97dS0WgeLiIoSGhkGl6rwrwP39fc791w8GtW1nPfP1axrLz88P4TYeCwDCQ32gkiR8n1UAfW3n3fdsEUC5vgzxYd44eLYaL3yTjRuSuiDQyx1jkyKQkJDQaWPZkqP8bFwO+2i7Ngf1kCFDsHTpUvz1r3+94GufffYZkpOT27Sd+Ph4NDQ04PXXX8cTTzyBkpIS/Otf/8LkyZMxevRovP7661i0aBGmTp2K3bt3Y/Xq1Zg3b16bGzpPrVa3601r73pKwz5sz2i24OlV+2G2CFyf2AVjErtgacZJSNL/zk+fP9ytUkktXu+4pm1JkqqTt3uRkc79fSFJsPlY50YEAJTXGVFS03l7uEJYUKivQVyYLw6ercaeU5VI7RbY3JNSP2eXouSfDWuwj8trc1Dff//9mDhxIsrLyzF27FiEhISguLgYa9euxZdffoklS5a0aTteXl6YP38+XnnlFQwbNgw+Pj4YN24cHnroIWi1WixYsABz5szBO++8g8DAQMyePRuDBw9ud4NEtvL2j7k4dLYKAZ5u+PtNjrE3RkB0gA5+OjdU1htxuKgakf5tOxpIJJc2B3WPHj3w8ccf44UXXsDSpUshSRKEEIiLi8NHH32Efv36tXnQmJgYLFiw4KJfS0xMxLJly9q8LSI57D6px7xNeQCAORMSEezNe6YdhSRJSIz0w+a8UmSfqcSI+FC5SyJqlVWPuUxNTcXq1atx+vRp6PV6hISEICIiwla1ESlSTaMJjy1vusp7YmokxiZ2kbskslLfLr7YdrQMxdWNOKXntKKkbFY/jxoAoqOjER0d3dm1EDmEl1cfxCl9HSL9dXjxRh7ydkQ6rRpx4d44dLa6+QEqRErFWRmIrLD+QCGW7zoNSQLeuLk/fD341DhHlRLddAfL/oJKnK2sl7kaoktjUBO1UVFVA55Z1XSv5IwreyKd04Q6tBAfd0T662ARwKfbTspdDtElMaiJ2sBktuDhz/dCX2tA3y6+eHxk3OVXIsVL6eoPAPhsxynUGxx7hixyXgxqojZ4+6dcbD+uh5dWjf9MTYW7xvHv+ySgR7AXAjzdUFFnxFd78+Uuh+iiGNREl/Fbbgne+7npVqy5k5LQI9j6KW1JmVSShCHnTmEs2HIcQgiZKyK6EIOaqBVFVQ14dNk+CAHclt4VN/bn7YjOZkC3AHi7a5BXXIPfckvlLofoAgxqoks4f166rNaAPl188fwNfeUuiWzAw02NKQOjAAAfbz4uczVEF2JQE13CO78/L31bCjzceF7aWd01tDskCfjlSAlyCqvkLoeoBQY10UX8lluCd8+dl35lYiJ6hnjLXBHZUrcgL4zt1zTD3H83HZW5GqKWGNREf/DH89I3JUfKXRLZwV+u7gUAWJ1ZgFNlnFaUlINBTfQ7vz8v3Tvch+elXUi/SD9cFRcCiwDe/5V71aQcDGqi33nnD/dL87y0a3nw3F71yl1nUFzVIHM1RE0Y1ETnbM4tbXFeuhfPS7uctB6BGNgtAAazBfN5BTgpBIOaCEBxVQMeXb4XQgC3pvG8tKuSJAkPXtO0V7004yQq6gwyV0TEoCaC2SLw8LK9KK1pOi/9wjiel3Zl18SHone4D2oNZnyylQ/rIPkxqMnlvf1TLjKO6eHJ89KE83vVMQCaphWtajDKXBG5OgY1ubTNuaV4d2MuAOCVCTwvTU2uT+yCXiFeqKw3YgHPVZPMGNTkslqel47G+BSel6YmapWEx849yvTj346jvJbnqkk+DGpySWaLwCPL9v3uvHSC3CWRwozt1wV9uviiutGED387Jnc55MIY1KRYOp3OZtt+56dcbDtWxvPSdEkqlYQnzu1VL9pyAsXVvK+a5MGgJruxWPGsX7Vajb59+0Ktbn+AXmq8jGNlPC9NbXJtn1D0j/ZHvdHMOcBJNhq5CyDXoZIkrM0+C30bzvcJYUFZWRmCgoIgSdb/PRnopcWYxC4XvF5ea8Bjy/fBIoApA6J4XppaJUkSnhwVh2kf78DSjFOYfkVPRPjb7kgP0cUwqMmu9LUGFFc3XnY5ISwo1NfArPVuV1BffJsCT3+ZhbOVDegZ7IUXb+R5abq84THBSOsRiB3H9Xh3Yy7mTkySuyRyMTz0TS5jyfZT2HCwCFq1Cu/cmgIvd/6dSpcnSRJmjo4HACzfeRpHiqplrohcDYOaXEJOYRVe/u4gAODpMb3RL9JP5orIkQzqHojRCWGwCOCV7w/JXQ65GAY1Ob16gxkPf74XBpMF18SH4J5h3eUuiRzQrDF94KaWsOlwCX45UiJ3OeRCGNTk9P6x5iCOFNUgxMcdr03pD0mS5C6JHFCPYC/cMaQ7AGDOmoMwmS3yFkQug0FNTm3d/kIs3X4KkgS8eXMygr3d5S6JHNjDI2Lh7+mGI0U1WL7rtNzlkItgUJPTKq5uwDOrsgAAM67sieGxwTJXRI7Oz9MNj1wbCwB4Y8MRVPOBHWQHDGpySkIIPLtqP8rrjOjbxRdPjIyXuyRyErcP7oaewV4oqzXgvZ/z5C6HXACDmpzS3lMV+PFQ061Yb9zSH1oNP+rUOdzUKjwztg8AYMHm48gr5u1aZFv87UVOp6rBiO+yzwIAHhsZh97hvjJXRM7muj6hGNE7FEazwP99fQDCiulxiazFoCanIoTADweL0GiyILWrP2Zc2VPuksgJSZKEF8clwF2jwrZjZfg2s0DuksiJMajJqWSdqcSZ8nq4qSW8fnMy1CreikW20TXIE3+9JgYA8I81h1DFC8vIRhjU5DSqGozYcrQUADA6IRw9gr1kroic3YyreqJHsBdKqhvxxoYjcpdDTopBTU5BCIGfc4phNAt08fNAeo9AuUsiF+CuUeOlm5oe7rJ42wnsz6+UuSJyRgxqcgpHimpwoqwOaknCdX3CoOLsY2QnV8SG4IakLrAIYNaqLM5YRp2OQU0Or95gbp57eVCPAAR6aWWuiFzN8+P6wk/nhv35Vfjwt2Nyl0NOhkFNDu/X3BLUG80I8tJiYDce8ib7C/XxwP/d0BcA8NaPucgrrpG5InImDGpyaCfLapFT2DThxHV9wniVN8lmUmokrooLgcFkwVMrM2G28N5q6hwManJYJosFPx9uOuSdHOWPcD+P5q95atWwcBIKsiNJkvDKxER4u2uw51QFPtl6Qu6SyElo5C6AqL32nKxAZb0RXlo1BvdqecjbXaOGSpKwNvss9LUGm9fSPcgTw2JDbD4OKVukvw7PjO2N577aj1fX5+DaPqHoFsTbBKljGNTkkCrrjdhxQg+g6apbd436osvpaw0orm60eT0BnryAjZrcOqgrvss8i23HyvDEF5lYfv8QnpKhDuGhb3JIvx4pgdkiEBWgQ1yYt9zlEDVTqSS8OjkJ3u4a7DpZjvd/OSp3SeTgGNTkcI6V1uBYaS1UEnB1XAgk3jNNChMd6IkXb2yaCOXNH45wIhTqEAY1ORST2YJfzl1AltI1AEHe7jJXRHRxk1IjMaZfOEwWgUeX70OD0Sx3SeSgGNTkUHafKkdVgwne7hqkdec906RckiThlQmJCPVxR15xDf65NkfukshBMajJYdQ0mrDrRDkAYHhMMLQafnyp42x5K1+AlxavTekPAFi09QQ2HS4GAN46SFbhVd/kMLYeLYXJ0vTQDV5ARp3FHrfyDekZiG3H9Hho6R7Mvr4Pbk3vZpNxyDkxqMkhFFU14NDZphnIrozlBWTU+Wx5K19q1wDkFtegtMaAj347jpsHdeUtW9RmPHZIiieEaH7oRu9wnxYzkBE5Ao1ahbGJXeCmlnCstBbvbcyTuyRyIAxqUrzc4hqcrWyARiVhaK8gucshapcATy2uiQ8FALz90xFkHCuTuSJyFAxqUjST2YLNeaUAgIHdAuDj4SZzRUTt16eLL1Ki/WERwCPL9qKsxvaz5pHjY1CTomXlV6H63O1Yqd0C5C6HqMPG9e+CXiFeKKpqxN8+3wuT2SJ3SaRwDGpSLINZYOe527GG9AqCm5ofV3J87ho15k0dAE+tGluPluG1DYflLokUTpbffDk5Obj77ruRlpaGYcOG4amnnoJe3/SAhczMTEyZMgUpKSkYMWIEVqxYIUeJpAA5pUY0miwI8tKid7iP3OUQdZr4cB+8OjkJAPDBL8ewNvuszBWRktk9qBsaGnDfffchJSUFmzdvxnfffYeKigo8++yzqKysxIwZMzB+/Hjs3LkTc+bMwdy5c5GVlWXvMklmNY0m5OqNAIChMUFQ8XYscjI3JEXgvuE9AABPrshEXnG1zBWRUtk9qAsKCtC7d2889NBD0Gq1CAgIwC233IKdO3diw4YN8Pf3x9SpU6HRaDBkyBCMGzcOS5cutXeZJLPtx/QwCyDCzwM9+DxfclKzxvRGeo9A1BrMuP/T3ahpNMldEimQ3YO6Z8+emD9/PtTq/z0/eP369UhISEBubi7i4uJaLB8TE4OcHM6R60r0tQYcPDe5ybCYIE5uQk5Lo1bhvdtSEe7rgaMltZi5IhOC04vSH8g6M5kQAm+99RZ+/vlnLFmyBIsXL4ZOp2uxjIeHB+rq6qzettls3ZNqzi9v7XpKo+Q+1Go1hLBAiNavct2SVwoBINJHjTAf98suf3FN67RlvM5x8fEsFtH8X5WqM+uwX3/nWoAQkPW97PBWL/m9sO9n5fwY539GAz01eO/WZNw6fzvW7i/E+78cxYwrelxyfSX/jFuDfaDFDmtrZAvqmpoaPPPMMzhw4ACWLFmC+Ph46HQ6VFe3PE/T0NAALy/rD31mZ2e3q672rqc0SutDp9Ohb9++KCsrQ6G+5pLLldaZcay0ARKAxFAtiouL2jVeuIcFQCQqKipRWFLRrm105njt7aO949lirMpKZbyXHfXH74W9PytqgzeAHjh8+DDq6+sBABKAu/r74KM9VXht3WG41RYjJbz1R7gq7We8vVy5jwEDBrRpOVmC+tSpU5g+fToiIiKwcuVKBAY2Pa4wLi4OW7ZsabFsXl4eYmNjrR4jMTGxzX+tAE1/DWVnZ1u9ntIovY+goCCYtRd/oIYQApv3FAAA+oT7wNfdgtDQMKjaMSeyv7/Puf/6waC2/ZSjlxrPYhEoLi5qdx/WjmcLvn5NY/n5+SFcxveyoy71vbD3ZyXIpymA4+PjW7zev79AhbQfK3bn460d1Vj5QAJiQy/8WVH6z3hbsY+2s3tQV1ZW4s4778TgwYMxZ84cqFT/O00+cuRIvPbaa1i0aBGmTp2K3bt3Y/Xq1Zg3b57V46jV6na9ae1dT2mU2ockqSBJF7804nhZDQoqG6BWSUjvGYjailKoVNIll2+d6rLjda6Lj3f+EGv7+7BuPFs4n2mSBFnfyw5v9ZLfC/t+Vs6PcbGfzzkTknCyrB47Tugx49M9+PqhYQj00l50O0r9GbcW+7g8u19MtmrVKhQUFGDt2rUYMGAAUlJSmv8XEBCABQsWYN26dUhPT8fs2bMxe/ZsDB482N5lkp1ZhMDWvKa5j5Oj/eHjwQe7kevRalR4f9oARAfqcEpfhwc+3Q2DiTOXuTq7/za8++67cffdd1/y64mJiVi2bJkdKyIlOFJUjbJaA9w1KgzkVKHkwgK9tFhw5yBMnLcVO07o8dxX2Xh1chLvfnBhnJORZGexCGw/3jQzXWq3AHi4Of5hMKKOiA3zwbu3pUAlASt2n8FHvx2TuySSEYOaZHe4qBoVdUZ4uKmQHOUvdzlEinB1fCj+74a+AIC5a3Pww8HOvXOAHAeDmmRl/t3e9IBuAdBq+JEkOu+uod0xNb0rxLnHYmadqZC7JJIBfyuSrA4VVqGy3gidmxr9uTdN1IIkSXjxxgRcERuMOoMZ9yzaiVN66yeAIsfGoCbZmC0CO87tTQ/sHsDHWBJdhJtahXlTU9G3iy9Kawy4e9EuVDXySnBXwt+MJJsDBZWobjDBU6tGUqSf3OUQKZaPhxsW3j0Ikf46nCirw9zN5ag3OPbUm9R2DGqShclswc4T5QCAQd0DoeHeNFGrwnw98Mk9g+Cnc8MRvRGPLs+Eycw9a1fA344kiwMFVahpNMHbXYN+Eb5yl0PkEGJCffDhtFS4qST8mFOMF749wKdtuQAGNdld095007npQd0DuDdNLsVTq4alA+Ga3jMY796WAkkClm4/hf/8nNfq8h0Zi5SB8zSS3WXlV6LWYIaPhwYJETw3Ta7FXaOGSpKwNvss9LUGq9cXwoKysjKM7ReONdmF+PeGI8gtqkFaj8ALlg300mJMYpfOKJtkxKAmuzKYLNh17tx0Wo9AqDvxiVJEjkRfa0BxdaPV6wlhQaG+Br3CwzGoewB2nijHN5kFaDRZEB/uY4NKSW485kh2lXG8DPVGM/x0bugTznPTRB0xpGcQEs/dMbHhYCGOl9bKXBHZAoOa7Kam0YTfcksBcG+aqDNIkoRr4kMQF+YNiwC+zz6L/Ip6ucuiTsagJrv5ZOsJ1BnM8Pd0Q+8wHqIj6gySJGFU33B0D/KEySLwbWYBStpxSJ2Ui0FNdlHVYMSHvzY9ASi9RyBU3Jsm6jRqlYSxiV0Q4e8Bg8mCr/bmo7zO+gvVSJkY1GQXCzYfR2W9ESE+7ojj3jRRp3NTq3Bj/wiE+Lij3mjGqj357bqqnJSHQU02V1lnxMe/HQcAXNs7FCqJe9NEtuCuUWN8cgQCPN1Q02jCgi3HUcBz1g6PQU0299Fvx1DdaELvcB8kcBYyIpvy1GowMTUKfjo3lNcZMXX+dhRXNchdFnUAg5psSl9rwMItTXvTj14Xx71pIjvwdtdgUmokAjzdcLy0FrfN347SGl5g5qgY1GRTH/56DLUGMxIifDE6IUzucohcho+HG+4Z1gNd/DyQV1yD2+dvRznPWTskBjXZTEl1Iz7ZegIA8PjIOEjcmyayq0AvLZbel44QH3fkFFbjjgU7UFlvlLssshKDmmzmg1+Oot5oRv8oP4zoHSp3OUQuqWeINz67Lx2BXlpk51firoU7UNNokrsssgKDmmyiqKoBn2acBAA8xr1pIlnFhvlgyb3p8NO5Ye+pCtyzcCfqDAxrR8GgJpuY93MeGk0WDOgWgKviQuQuh8jl9Y3wxZJ70+HjrsGOE3pMX7wLDUaz3GVRGzCoqdPlV9Tj8x2nAQBPcG+aSDESo/yw6J40eGnV2JJXhgeW7EajiWGtdAxq6nTvbcyFwWzB4J6BGBoTLHc5RPQ7A7oFYMFdg+DhpsKmwyX462d7YTRb5C6LWsGgpk51qqwOK3adAQA8MSpe5mqI6GLSewZh/h2DoNWo8MPBIjy6bB9MDGvFYlBTp3r7p1yYLAJXxoVgUPdAucshoksYHhuMD24fADe1hDXZZ/HkikyYLULusugiGNTUaY6W1OCrvU1704+PjJO5GiK6nGt6h+I/t6VCo5Lw9b4CPLMqCxaGteIwqKnTvP1jLiwCuK5PKJKj/eUuh8jleWrVsIjWg3dUQjje/nMKVBLwxa4zeP7b/RCXWac1lxuPrKeRuwByDocLq7E6qwBA033TRCQ/d40aKknC2uyzl33k5aTUKKzcfQZLMk7hWHEtxiaGW33HRqCXFmMSu3SkZLoIBjV1ijd/OAIhgLGJ4UiI8JO7HCL6HX2tAcXVrT+UI8Jfh2v7hOLHQ8XYeqwMjWYLhvUK4u2VCsBD39Rh+/Mrse5AISSp6QlZROSYEiL8cE180wRFu0+WY/txvcwVEcCgpk7w5g9HAAA39o9AXJiPzNUQUUckRfnjytim+Q+2H9dj5wmGtdwY1NQhe0+V46ecYqgk4JFrY+Uuh4g6QUrXAAyLCQIAbD1ahj2nymWuyLUxqKlD3ji3Nz0pNQo9Q7xlroaIOsvAboEY3KNpLoTfckuRebpC3oJcGIOa2m3HcT1+yy2FRiXhYe5NEzmdtB6BGNQ9AACw6UgJ9udXylyRa2JQU7sIIfDv9YcBADcPikZ0oKfMFRFRZ5MkCUN6BiG1qz8A4KecYuQUVslblAtiUFO7bMwpxo4TerhrVPjbiBi5yyEiG5EkCcNjgpEU1XTb5YaDRThWUiNzVa6FQU1WM1sE/rUuBwBw97Ae6OKnk7kiIrIlSZJwdVwIeof7QAjg+/2FOK2vk7ssl8GgJqt9tTcfR4pq4OuhwV+u6iV3OURkB5IkYWSfMPQK8YLZIrA6qwCFlQ1yl+USGNRklQajGW9saDo3/dA1MfDzdJO5IiKyF5VKwp8SwhEdoIPRLPD1vnyU1rQ+4xl1HIOarLIk4yQKKhvQxc8Ddw7tLnc5RGRnGrUKNyRFINzXA40mC77am4+KutbnEaeOYVBTm1U1GPHez3kAgMeui4OHm1rmiohIDlqNCjclRyDIW4s6gxmr9uajusEod1lOi0FNbfbBL0dRUWdEbKg3JqZGyl0OEcnIw02NCcmR8NO5obrBhK/25qO20SR3WU6JQU1tUlTVgI83HwcAzBwdD42aHx0iV+flrsHElEh4u2tQXmfEoq0nuGdtA/xtS23y9k+5aDBaMKBbAEb2DZO7HCJSCF+dGyakRELnpkZBZQMeWLIbjSaz3GU5FQY1Xdaxkhos33kaADBrTG8+n5aIWgj00uKm5Aho1SpsySvDE19kwmIRcpflNBjUdFn/XJsDs0Xg2t6hGNQ9UO5yiEiBwnw9cFt6NDQqCd9lncVL3x2EEAzrzsCgplZtPVqKDQeLoFZJeGZsb7nLISIFiw31wes39wcALNp6AvM2HZW5IufAoKZLMlsE/vHdIQDA1PSuiAn1kbkiIlK6m5Ij8X839AUAvLb+ML44d9qM2o9BTZf05Z4zOHi2Cj4eGjx6XZzc5RCRg7h3eA/cf1VPAMAzX2Xjx4NFMlfk2BjUdFG1jSa8du4xlg+PiEWgl1bmiojIkcz6U29MSo2C2SLw0Gd7sPukXu6SHBaDmi7qg1+OoqS6Ed2CPHHH0G5yl0NEDkaSJPxzUiKuiQ9Bo8mCexbtwpGiarnLckgMarpAQUU9PvztGADgmTG94a7hVKFEZD03tQr/mZqKlK7+qKw34s4FO1BQUS93WQ6HQU0XmPP9ITQYLUjrEYjRCeFyl0NEDsxTq8GCOwehV4gXzlY24I4FO/gQDysxqKmFrXmlWJN1FioJeHFcAic3IaIOC/DSYvG96Qj39UBecQ3u/WQXGoycvaytGNTUzGi24IVvDwAApg3uhr4RvjJXRETOItJfh0/uSYOPhwa7T5bjyZVZsHBClDaRNaj1ej1GjhyJ7du3N7+WmZmJKVOmICUlBSNGjMCKFStkrNC1fLL1BHKLaxDopcXjI+PlLoeInEx8uA8+nDYQbmoJa/cXYXEWLy5rC9mCevfu3bjllltw6tSp5tcqKysxY8YMjB8/Hjt37sScOXMwd+5cZGVlyVWmyyiuasBbP+YCAJ7+Uzz8PN1kroiInNGQXkH495Sm2ctWH6nDoq0n5C3IAcgS1F999RWefPJJPPbYYy1e37BhA/z9/TF16lRoNBoMGTIE48aNw9KlS+Uo06X8c20OahpN6B/lhykDouUuh4ic2E3JkXhyVCwA4B/f52D9gUKZK1I2jRyDDh8+HOPGjYNGo2kR1rm5uYiLazkDVkxMDFauXGn1GGazdRcqnF/e2vWUpj197Diux6q9+ZAk4MVxfSGEBbZ4G9RqNYSwQAjLZZc9/+Qdi0VApbr88hfZAgC0ebyOu/h4He/DuvFs4fxDkISArO9lh7d6ye+FMj4rbV7bqs+UfXs7P0Zbfv9MH9YNWXlnsOFYPR7+fC+W3puGlK7+Nq6w83UkO9Tqtt36KktQh4SEXPT12tpa6HS6Fq95eHigrq7O6jGys7PbVVt711OatvTh5uaGXvF98Nw3TReQ/XlQV6R0s+3TsfTl5SgsrWrz8sXF7Zt6MNzDAiASFRWVKCypaNc2OnO89vbR3vFsMVZlpTLey4764/dCaZ+VtmrLZ8revakN3gB64PDhw6ivv/z90vel+KK0zoI9hY24Z+F2zL02COHessRSh7UnOwYMGNCm5RT1juh0OlRXt7y4oKGhAV5eXlZvKzExsc1/rQBNfw1lZ2dbvZ7SWNvHOxuP4lhJLbzd1egZpMOSbcdtUlf3YG8Mjw1BYEAATBrPyy5vsQgUFxchNDQMKpX1t4j5+/uc+68fDGoPq9fvrPE62oe149mCr1/TWH5+fgiX8b3sqEt9L5TyWWkraz5T9u4tyMcdABAff/mLUc//rvr43qG4feFuHCiowms76rDi/sEONWWxPbJDUUEdFxeHLVu2tHgtLy8PsbGxVm9LrVa3601r73pK05Y+8oqrMW9THgDgitgQ1BgsqDHY5vBYoJcJACBJKkjS5S+NOH9IT6WS2rT8RbZg1Xgdd/HxOt6HdePZwvkskCTI+l52eKuX/F4o47PS5rWt+kzZt7fzY1jzO9TX0x0L7x6ECf/ZihNldbh/yR58Nn0wPNwc6/ewLbNDUfdRjxw5EqWlpVi0aBGMRiMyMjKwevVqTJo0Se7SnI7FIvDMqmwYzQLxYT6IDfWWuyQiclGhPh745J5B8PXQYM+pCjy6bB/MFt5jfZ6igjogIAALFizAunXrkJ6ejtmzZ2P27NkYPHiw3KU5nWU7T2PniXJ4atW4sX8XzkBGRLKKCfXBR3cMhFatwroDhXjl+0Nyl6QYsh/6Pnz4cIt/JyYmYtmyZTJV4xqKqhowd23TD8GTo+LhrlGhuLpR5qqIyNWl9wzCa1OS8Miyffh483FE+utwz/AecpclO0XtUZPtCSHw1MosVDc03TN959DucpdERC7qj3f5AE33WD/9p94AgJfXHMS6/bzHmkHtYpbtPI1fjpRAq1Hh31P6Q92JVyITkWvz1KrbPH+3Wq1G3759L3oB1gNX9cTtg7tCCOCRZXux+2T5JbfjCvOFy37om+zntL4O//juIABg5qh4xIb5yFwRETkTd40aKknC2uyz0Ne2/ihLISwoKytDUFDQRa9Ijwv1QXyYDw4XVWPax9vxwJU9EeTt3mKZQC8txiR26dQelIhB7SIsFoEnV2Si1mBGWvdAnvchIpvR1xoue92LEBYU6mtg1npf8taxa/uEoryuaVsLtpzAzYOioXOw27Y6Aw99u4iFW09g+3E9PLVqvDYliYe8iUjx3NQq3Ng/Aj4eGlTUG7E6swAmsz2meVUWBrULyCmswqvrcgAAz47tg25B1s/0RkQkBy93DW7qHwGtRoWzlQ3YcLAIwgXOS/8eg9rJ1RlMeGjpHjSaLLg6PgRT07vKXRIRkVWCvN1xQ2IXqCQgt7gGW46WyV2SXTGondzz3xzA0ZJahPm64/Up/TmxCRE5pOhAT1zXJwwAsPtkObLOVMhbkB0xqJ3Yqj1nsHL3Gagk4O0/p1xwxSQRkSPp08UXg3s2PeFv0+ESHC6svswazoFB7aSOldRg9tf7AQCPXBuHwT2DZK6IiKjj0roHom8XXwg0zQuxP79S7pJsjkHthBpMFvxtWSbqDGYM6RmEv46IkbskIqJOIUkSRvQORXSgDgazBXcv2on8iss/+9qRMaidjMUi8O6OSuQUViPYW4u3/5zMW7GIyKmoVRKuT+yCMF93lFQ34u6FO1BZb5S7LJthUDuZ/2w6ioz8RripJbx/+wCE+tr+YfFERPbmrlHjjsHdEObrjiNFNfjLkt0wmJzzHmsGtRNZt/8s3vopDwDw8o0JGNg9UOaKiIhsx99TiwV3DYKXVo2tR8vwzKpsp7zHmkHtJA4WVOGx5ZkAgOtjPTFlYJTMFRER2V5ChB/em5oKtUrCl3vO4O2fcuUuqdMxqJ1AQUU97vtkJ+qNZgyPCcKdSXzYBhG5jmviQ/HyTf0AAG/9mIuVu8/IXFHnYlA7OH2tAdM+3o6Cygb0DPHCO7x4jIhc0G3pXfGXq3sBAGZ9mYUteaUyV9R5GNQOrKbRhLsW7sDRklpE+Hlgyb3p8NO5yV0WEZEsZo6Kx7j+ETBZBB5YshtHipxjQhQGtYNqMJoxY/EuZJ2pRICnGxbfm44If53cZRERyUalkvDa5CQM6h6A6gYT7l64E8VVDXKX1WEMagfUYDTjr5/txdajZfDSqvHJPWmICfWWuywiItl5uKnx4bSB6BnshfyKetzzyU7UNprkLqtDGNQOps5gwn2f7MKPh4qg1ajw0R0DkRTlL3dZRESKEeClxaK70xDkpcX+/Cr87fO9Dv0cawb1ZVjsfE9ea+NV1hsx7eMd2JxXCk+tGovuGoShMcF2rI6ISDk8tepL/s7sGuSJ+XcOhLtGhY05xXhx9YFOucfa3pkAABq7j+hgVJKEtdlnoa812HysQC8txiR2uejXymoacceCHThQUAVfDw0W3ZOG1K4BNq+JiEip3DXqy/6OnpQahc93nMKSjFMorW7EFbEh7R6vtd/RtsSgbgN9rQHF1Y2yjX+4sBrTF+/CKX0dgry0+PTedPSN8JWtHiIiJWntd3SIjzuuiA3Gr7mlWHegCJIkIS7MseaaYFAr3Lr9hXj8i32oM5gRHajDwrt44RgRkTVSugagqt6EfWcqsOFAEXRuakQHespdVpvxHLVCWSwCb/14BA8s2Y06gxlDewXh24eGM6SJiNrhirhg9ArxglkIrM4qQJED3bbFoFagwsoG3LVoJ976sWnO2ruHdcfie9IQ4KWVuTIiIsekkiT8KSEcUQE6GM0C3+wrsMu1R52BQa0w3+zLx6g3f8GvR0rgrlHh1clJeGFcAjTqtn+rdDpOfEJE9EcatQrjkiIQ6uOOeqMZX+3NR1WD8p9jzaBWiDqDCSt3n8Ejy/ahqsGEpCg/rHl4OG4eGG3VdtRqNfr27Qu1Wm2jSomIHJdWo8L45EgEeLqhptGEr/fmo86g7AlReDGZzMwWgcwzFdh+XA+DyQK1qunwTHqPQGw/psf2Y3qrtieEBWVlZQgKCoIktf53WPcgTwzrwK0KRESOSKdVY0JKJL7YdQbldUZ8s68Ak1KjoNUoc9+VQS0TIQROltXh19wSlNc1HXqJDtDhvdtSsT+/st23gwlhQaG+Bmat92WDOsCT57yJyDX5eLhhQkokVu4+g+LqRqzOKsCN/SPgZsVpRntRXkVOrimga7Fi9xl8k1mA8jojdG5qXNsnFE+P7o3+0f5yl0hE5BICvbS4KTkCWrUKZ8rr8V3WWUVONco9ajsRQuB4aS12nNCjqKppb1mtktA/yg9pPQKbZtjhc6SJiOwqzNcDNyZH4Jt9+Tilr8Oa7LO4PqkLNCrl7McyqG2s0WjGwbNVyDxTicr6pkPcGpWEfpF+GNAtAN7u/BYQEckp0l+HG/tH4Jt9BThRVoe12YUYm9gFaoXsPDElbEAIgcKqBhwsqEJOYTVMlqZJ3LUaFRIj/ZAS7Q8vBjQRkWJEBXhiXP8IfJtZgGOltVi7/yzG9FNGWDMtOlF1gxGHCquRc7aq+QIxAAjy0qJ/lD/iw30Ue1UhEZGr6xroiRsSu+C7rLM4WlKL77IKcH1iF6vmsbAFBnUHGc0WHC2uwcHCKpzW1ze/rlFJiAn1RkKELyL9dZAk+f8qIyKi1nUP9sK4/k1hfaKsDt9mFmCczFeDM6jbQQiB/Ip6HDpbjdziahjN/3s+aaS/Dn26+CA2lHvPRESOqFuQF25KbjoMfrq8Hl/vzceNyRGy1cOgtkJFnaH50HZVw/9msvHTuaF3uA/6dPGFn85NxgqJiKgzRAV4YkJKJL7eV4CCygas2pOPe4f3kKUWBvVlVDUYsfOEHjuO61FQ+b+nrWjVKsSGeaNPuC8i/D14aJuIyMl08dNh0rmwLq5uxIe/HsO4/hGI8Lfv8xQY1K1YtOU45q7NQaOp6QZ4CUB0oCf6dPFBrxBvRc5gQ0REnSfU1wNTBkbh6735KKs1YOn2k5g5urdda2BQt2JzXhkaTRaE+rgjNswbvcN84e3Bt4yIyJUEeGpx88BonCirxZ8HdbX7+EydVrz152SUVDdiS24JSmoc47mlRETU+bzcNbgmPhTRgZ52H5vHblvh7a5Bj2Avnn8mIiLZMKiJiIgUjEFNRESkYAxqIiIiBWNQExERKRiDmoiISMEY1ERERArGoCYiIlIwBjUREZGCMaiJiIgUjEFNRESkYAxqIiIiBWNQExERKRiDmoiISMEUGdRlZWV48MEHMXDgQKSnp2POnDkwmUxyl0VERGR3igzqRx99FJ6envjtt9+wcuVKbNu2DYsWLZK7LCIiIrtTXFCfPHkSO3bswMyZM6HT6RAdHY0HH3wQS5culbs0IiIiu9PIXcAf5ebmwt/fH2FhYc2v9erVCwUFBaiqqoKvr2+r6wshAAAGgwFqtbrN45rN5ouup1arEahTQxK2f6t8PVQwm80dGs8iAG2QN/y9tVBJth+vrawdy5o+OmO8jrrUeB3tw9rxbMHHXd00lqcGKgibjgXYrrdLfS+U8llpK6X+jFs7Xmf8bNi7vwBd08/C+bwALp0dbaFWq6FSqSBJrb8BkjifbArxzTff4M0338SmTZuaXzt16hRGjhyJX375BeHh4a2ubzAYkJ2dbeMqiYiIOi45OfmyAa+4PWpPT0/U19e3eO38v728vC67vkajQWJiYpv+SiEiIpKTSnX5M9CKC+rY2FhUVFSgtLQUwcHBAICjR48iPDwcPj4+l11fpVJBq9XaukwiIiK7UNzFZN27d8eAAQPwyiuvoKamBqdPn8a8efMwefJkuUsjIiKyO8WdowaA0tJSvPTSS9i+fTtUKhXGjx+PJ5980uoT9URERI5OkUFNRERETRR36JuIiIj+h0FNRESkYAxqIiIiBWNQExERKZhLBbVer8fIkSOxffv25td++eUXjB8/HikpKbjxxhvxww8/tFjnq6++wsiRI5GcnIyJEydi79699i67WU5ODu6++26kpaVh2LBheOqpp6DX6wEAmZmZmDJlClJSUjBixAisWLGixbqO0sd5e/fuRWJi4gXrKqWP1npYv349brrpJqSmpmLEiBF47733YLFYFNcD0HofS5cuxahRo5CSkoJRo0ZhyZIlLdZ1lD7OKy4uxtChQ7Fq1aoWrztKHy+88AL69euHlJSU5v8tX768eV1H6SMnJwd33nknUlJSMHToUMydO7fF0xGV0selenj++edbfA9SUlLQp08f3HvvvbbrQbiIXbt2ieuuu07ExcWJjIwMIYQQ+/fvFwkJCeKLL74QRqNR7Ny5U6SkpDR/PSMjQ6SkpIhdu3YJg8EgFi5cKNLT00VdXZ3d66+vrxfDhg0Tb7/9tmhsbBR6vV5Mnz5d3H///aKiokKkpaWJJUuWCKPRKLZu3SpSUlJEZmamQ/UhhBAWi0WsWLFCJCcni7i4uBbrKqWP1nrIzs4WSUlJYuPGjcJsNou8vDxxzTXXiI8//lhRPVyuj59++kkMGjRIZGdnCyGEyMzMFImJiWLbtm0O1cd5ZrNZTJs2TfTu3Vt8+eWXza87Uh8TJkwQq1atuui6jtJHWVmZSE9PF++//74wGAzi9OnTYtSoUWL+/PmK6qMtn6nzfvvtN5GWliaOHDlisx5cIqhXrVolrr76arFmzZoWQf3aa6+JadOmtVj2+eefF4888ogQQognnnhCzJ49u8XX//SnP4mVK1fape7fO3r0qLj33nuFyWRqfu3HH38Uqamp4osvvhCjRo1qsfzzzz8vnnrqKSGE4/QhhBCzZs0SN998s1iwYMEFQa2UPlrrYd26deKVV15psfwrr7wiHnjgASGEcnoQ4vLfi+rqaiGEEEajUWzatEkkJSWJAwcOCCEcqw8hhHjnnXfEzJkzxTXXXNMiqB2lj8bGRpGQkNAcBn/kKH18/PHH4pZbbmmx/JkzZ0R+fr4QQjl9tOUzJYRo/sPjm2++aX7NFj24xKHv4cOH44cffsDYsWNbvG42m+Hp6dniNZVKhWPHjgEA8vLyEBcX1+LrMTExyMnJsW3BF9GzZ0/Mnz+/xaQv69evR0JCAnJzc1ut01H6AIBHHnkEy5cvR9++fS9YVyl9tNbD6NGj8cwzzzS/3tDQgE2bNjX3p5QegMt/L7y9vXHs2DEkJSVhxowZuPXWW5u/L47UR0ZGBtasWYMXXnjhgnUdpY+cnByYTCa88847GDp0KEaPHo0PP/yw+ZSKo/SRlZWFuLg4PP/88xg2bBiuu+46fPvtt80PW1JKH5f7TJ3373//G/369cONN97Y/JotenCJoA4JCYFGc+G05iNHjsTmzZuxfv16mEwm7N69G99//z0aGxsBALW1tdDpdC3W8fDwQF1dnV3qvhQhBN588038/PPPeO655y5bp6P0AaDVp6MpsY+L9XBeTU0NHnroIXh4eOCuu+4CoMwegEv3ER0djczMTKxcuRJr1qzBhx9+CMBx+igrK8Ozzz6Lf//73xd9qI+j9FFdXY20tDRMmzYNv/zyC1577TV8+umnWLBgAQDH6aOyshKrVq1CUlISNm3ahPfeew/Lly/HwoULASizj0v9bJw+fRrffvstnnjiiRbL26IHlwjqS0lNTcWrr76K9957D8OGDcPHH3+MiRMnNj/zWqfToaGhocU6DQ0NbXqKl63U1NTg4YcfxurVq7FkyRLEx8dftk5H6eNylNZHaz0cO3YMf/7zn2EymbB48WJ4e3sDUF4PQOt9uLm5wc3NDYmJibjjjjvw3XffAXCMPuLi4vDUU09h2rRp6Nev30XXcYQ+4uPjMWzYMCxevBhpaWlwc3NDUlIS7rzzTnz//fcAHKcPrVaLxMRETJ48GW5ubujduzduv/12rF27FoDy+mjtZ+PLL79svpDs92zRg0sHdUVFBWJjY7F69Wps374d8+bNw9mzZ5t/qGNjY5Gbm9tinby8PMTGxspRLk6dOoVJkyahpqYGK1eubP7QxMXFtVqno/RxOUrqo7UefvnlF0yZMgVXXHEFPv74Y/j5+TV/TUk9AJfuY9GiRXj00UdbLGswGJp7cYQ+zp49ix07duA///kPBg4ciIEDB6KgoAB///vfcf/99wNwjD4A4Mcff8SyZctaLGswGODh4QHAcfro1asXDAZDi2UtFgvEuZmsldTH5X5PbdiwATfddNMF69mkh3af3XZQv7+YbN++fSI5OVkcOnRIGI1GsWbNGpGUlNR8wcb5q6e3bdvWfPXeoEGDRHl5ud3rrqioEFdffbWYNWuWMJvNLb6m1+vFwIEDxcKFC4XBYBDbtm1rrtuR+vi9jIyMCy4mU0ofrfWwd+9ekZCQIFasWHHRdZXSgxCt95GdnS0SEhLEmjVrhNlsFrt27RJpaWlizZo1DtXHH/3xYjJH6WPDhg0iKSlJbN26VVgsFrFnzx6Rnp4uvv76a4fqIy8vT/Tr1098+OGHwmQyiZycHHHFFVeITz75RFF9XO4zpdfrRVxcnDhx4sQFX7NFDy73UI74+HgsXrwY6enpAIDPP/8cH330EcrLy9GzZ088+eSTGDJkSPPy33zzDf773/+iqKgIMTExmD17Nvr372/3uhcuXIh//vOf0Ol0kCSpxdf27t2L7OxszJkzB0eOHEFgYCAefPBBTJw4sXkZR+njvO3bt+OOO+7A4cOHWyyjhD5a6yE9PR2bNm264BzVgAEDMH/+fADK6AG4/Pdi48aNeOutt3DmzBlERkZi+vTpLS6acZQ+fm/EiBH461//6pA/G8uWLcPChQtRVFSE4OBg3H333Zg6dWrzMo7SR2ZmJl599VUcOXIEHh4euPXWW/GXv/yleVkl9NGW37eTJ09GZmZm81GN3+vsHlwuqImIiByJS5+jJiIiUjoGNRERkYIxqImIiBSMQU1ERKRgDGoiIiIFY1ATEREpGIOaiIhIwRjURApRXV0NvV4vdxlEpDAMaiIbOnPmDOLj43HmzJnLLjty5MgL5gjuLNu3b2/znOodMW3aNLz77rsAgFmzZmHWrFkAgPfffx/33XffZddv63JEruTCZz8SkSzKy8vlLsFmHnjggU5djsiVcI+ayE727NmDO+64A8OHD0diYiImTpyIffv2AQBGjx4NAJg+fTo++ugjAMDWrVsxefJkDBw4ENdffz2+/fbb5m3NmjULDz/8MMaMGYPBgwfj1KlTrW7fWqtXr8YNN9yAlJQUjBkzpvlxigCwYsUKXH/99UhNTcW4ceNa1HUp7777LqZNmwag6dGBjz32GNLT0zFs2DDce++9OHr06AXLAU1PjZo4cSJSU1MxevRoLFq0CBaLpfk9eP755/HAAw8gJSUF1157LRYvXty87vr163H99ddjwIABGDNmDObNm9eu94JIdu1+nAcRXdbp06dFXFycyMvLE2lpaWLJkiXCbDaL2tpa8cgjj4hbb721ednfP9nt0KFDIikpSaxfv16YTCaxe/dukZ6eLn799VchhBBPP/20SE5OFocPHxaVlZWivr6+1e1f7Glkl5KRkSH69esnNm3aJMxms/jll19EQkKCyM3NFV9++aVITU0VW7duFSaTSWzdulWkpqaKDRs2CCGEuP3228U777zTXOPTTz8thBDinXfeEbfffrsQQoi3335b3HfffaK+vl40NjaKp59+WjzwwAMXLLdt27bmJ3gZjUaxf/9+ceWVV4qFCxc2bz8hIUFs3rxZGI1G8fnnn4s+ffqIwsJCUV9fLxITE5vfzwMHDojk5GSRmZnZvm8kkYy4R01kB25ubli+fDluu+02GAwG5Ofnw9/fH0VFRRddftmyZbj22msxatQoqNVqpKam4uabb8bSpUubl0lOTkZcXBx8fX2t3n5rvv76a4waNQpXXXUVVCoVrrzySnz22WcICwvDl19+iVtuuQVDhgyBWq3GkCFDcMstt1zwrOTWeHh4ICcnB19//TWKiorwyiuv4L///e8Fy61atQrXXnstxo4dC41Gg4SEBMyYMaPFWOf3yjUaDSZNmgSz2YxTp041j7Ny5Ups27YNvXr1wu7du5GUlGT1+0EkN56jJrIDlUqFbdu2Yfr06airq0NMTAw0Gg3EJR5el5+fj4yMDAwcOLD5NbPZjK5duzb/OzQ0tPn/q9VqbN++vc3bb01xcTH69u3b4rXzAVdaWoro6OgWX4uKisLGjRvbvP3p06dDq9Vi5cqVeOmllxAdHY0nnngCo0aNarFcWVkZ+vTpc8FY+fn5zf8OCQlp/v9ubm4AAIvFAg8PD3z++eeYN28ennjiCdTU1GD06NGYPXs2/Pz82lwrkRIwqInsoKysDC+//DKWLVuGfv36AQAWLFiA48ePX3T58PBwTJgwAS+99FLza8XFxS2C9/fPyc3MzLRq+63p0qULCgoKWry2YMECJCcnIyoqqnmP9bzTp0+3CMzLOXz4MEaMGIG77roL1dXV+Oyzz/DYY48hIyOjxXKRkZHtHqumpgbFxcV4/fXXAQCHDh3C448/jvfffx9PP/10m2slUgIe+iayg5ycHKhUquaHzO/btw+LFy+GwWBoXkar1aK6uhoAMHnyZHz33XfYvHkzLBYLTpw4gdtvvx0LFiy46Parq6svu/22mjBhAn744YfmsX/77Te8++678PHxweTJk7F8+XJs27YNZrMZGRkZWL58OSZNmtTm7a9YsQJPPfUUysrK4O3tDW9vb3h6ekKr1bZYbtKkSdi4cSPWrl0Ls9mMgwcP4qOPPmrTWLW1tZg+fTpWr14NIQRCQ0OhUqkQEBBg9ftBJDfuURPZwdChQ3Hbbbdh6tSpsFgsiIqKwrRp0/D666+jtLQUwcHBuOWWW/DEE0/grrvuwmOPPYY33ngDb7zxBh555BHodDrccMMNePzxxy+6/WHDhrW6fWsMGDAA//rXv/Cvf/0L+fn5iIyMxBtvvIHY2FjExsaipqYG//jHP1BQUICwsDA89dRTGD9+fJu3//jjj+Oll17C9ddfj8bGRvTs2RPz5s2Du7t7i+X69++Pt99+G//5z3/w7LPPIiAgALfeeiumT59+2THCwsLwzjvv4K233sLzzz8PDw8PjB07FnfddZdV7wWREkiiPSexiIiIyC546JuIiEjBeOibyIVkZWXhzjvvvOTXIyIisGbNGjtWRESXw0PfRERECsZD30RERArGoCYiIlIwBjUREZGCMaiJiIgUjEFNRESkYAxqIiIiBWNQExERKRiDmoiISMEY1ERERAr2/yu2w+zKZPtOAAAAAElFTkSuQmCC"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 500x500 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 500x500 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 500x500 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data['a2c'], x='lateral_collisions', kde=True)\n",
    "sns.displot(data['a2c'], x='speed', kde=True)\n",
    "sns.displot(data['a2c'], x='number_of_cars', kde=True)\n",
    "sns.displot(data['a2c'], x='rear_end_collisions', kde=True)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:00.918963Z",
     "start_time": "2024-03-01T04:55:59.740233Z"
    }
   },
   "id": "fe7b2ff48979aab2",
   "execution_count": 4
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "               index  routeLength      speed   duration  waitingTime  \\\nmean      149.500000   389.942867  10.864800  37.498467     1.014567   \nStd.Dev    86.746758     0.240990   0.057118   0.205600     0.069114   \nVar      7525.000000     0.058076   0.003263   0.042271     0.004777   \n\n         timeLoss  departDelay  departDelayWaiting  totalTravelTime  \\\nmean     9.630733          0.0                -1.0     1.305572e+05   \nStd.Dev  0.193968          0.0                 0.0     2.402067e+03   \nVar      0.037624          0.0                 0.0     5.769927e+06   \n\n         totalDepartDelay  rear_end_collisions  lateral_collisions  \\\nmean             0.620000            91.946667          230.283333   \nStd.Dev          1.403150            10.230315           15.857319   \nVar              1.968829           104.659353          251.454571   \n\n         emergency_brakes  number_of_cars  \nmean            12.043333     3481.933333  \nStd.Dev         36.361270       57.521770  \nVar           1322.141929     3308.754023  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>index</th>\n      <th>routeLength</th>\n      <th>speed</th>\n      <th>duration</th>\n      <th>waitingTime</th>\n      <th>timeLoss</th>\n      <th>departDelay</th>\n      <th>departDelayWaiting</th>\n      <th>totalTravelTime</th>\n      <th>totalDepartDelay</th>\n      <th>rear_end_collisions</th>\n      <th>lateral_collisions</th>\n      <th>emergency_brakes</th>\n      <th>number_of_cars</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>mean</th>\n      <td>149.500000</td>\n      <td>389.942867</td>\n      <td>10.864800</td>\n      <td>37.498467</td>\n      <td>1.014567</td>\n      <td>9.630733</td>\n      <td>0.0</td>\n      <td>-1.0</td>\n      <td>1.305572e+05</td>\n      <td>0.620000</td>\n      <td>91.946667</td>\n      <td>230.283333</td>\n      <td>12.043333</td>\n      <td>3481.933333</td>\n    </tr>\n    <tr>\n      <th>Std.Dev</th>\n      <td>86.746758</td>\n      <td>0.240990</td>\n      <td>0.057118</td>\n      <td>0.205600</td>\n      <td>0.069114</td>\n      <td>0.193968</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.402067e+03</td>\n      <td>1.403150</td>\n      <td>10.230315</td>\n      <td>15.857319</td>\n      <td>36.361270</td>\n      <td>57.521770</td>\n    </tr>\n    <tr>\n      <th>Var</th>\n      <td>7525.000000</td>\n      <td>0.058076</td>\n      <td>0.003263</td>\n      <td>0.042271</td>\n      <td>0.004777</td>\n      <td>0.037624</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>5.769927e+06</td>\n      <td>1.968829</td>\n      <td>104.659353</td>\n      <td>251.454571</td>\n      <td>1322.141929</td>\n      <td>3308.754023</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats['a2c']=pd.DataFrame()\n",
    "stats['a2c'][\"mean\"]=data['a2c'].mean()\n",
    "stats['a2c'][\"Std.Dev\"]=data['a2c'].std()\n",
    "stats['a2c'][\"Var\"]=data['a2c'].var()\n",
    "\n",
    "stats['a2c'].T"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:00.921838Z",
     "start_time": "2024-03-01T04:56:00.913084Z"
    }
   },
   "id": "d7ba4e902e045a44",
   "execution_count": 5
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "               index  routeLength     speed   duration  waitingTime  \\\nmean      149.500000   390.037033  8.849133  53.078833     6.374000   \nStd.Dev    86.746758     0.242831  0.147804   1.450627     0.378359   \nVar      7525.000000     0.058967  0.021846   2.104320     0.143156   \n\n          timeLoss  departDelay  departDelayWaiting  totalTravelTime  \\\nmean     25.232400     0.013233                -1.0     1.846509e+05   \nStd.Dev   1.458861     0.027491                 0.0     6.775705e+03   \nVar       2.128274     0.000756                 0.0     4.591018e+07   \n\n         totalDepartDelay  rear_end_collisions  lateral_collisions  \\\nmean            48.860000           104.410000          234.726667   \nStd.Dev         94.644982            10.808855           16.195667   \nVar           8957.672642           116.831338          262.299621   \n\n         emergency_brakes  number_of_cars  \nmean             8.293333     3484.000000  \nStd.Dev         25.058206       56.530736  \nVar            627.913668     3195.724138  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>index</th>\n      <th>routeLength</th>\n      <th>speed</th>\n      <th>duration</th>\n      <th>waitingTime</th>\n      <th>timeLoss</th>\n      <th>departDelay</th>\n      <th>departDelayWaiting</th>\n      <th>totalTravelTime</th>\n      <th>totalDepartDelay</th>\n      <th>rear_end_collisions</th>\n      <th>lateral_collisions</th>\n      <th>emergency_brakes</th>\n      <th>number_of_cars</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>mean</th>\n      <td>149.500000</td>\n      <td>390.037033</td>\n      <td>8.849133</td>\n      <td>53.078833</td>\n      <td>6.374000</td>\n      <td>25.232400</td>\n      <td>0.013233</td>\n      <td>-1.0</td>\n      <td>1.846509e+05</td>\n      <td>48.860000</td>\n      <td>104.410000</td>\n      <td>234.726667</td>\n      <td>8.293333</td>\n      <td>3484.000000</td>\n    </tr>\n    <tr>\n      <th>Std.Dev</th>\n      <td>86.746758</td>\n      <td>0.242831</td>\n      <td>0.147804</td>\n      <td>1.450627</td>\n      <td>0.378359</td>\n      <td>1.458861</td>\n      <td>0.027491</td>\n      <td>0.0</td>\n      <td>6.775705e+03</td>\n      <td>94.644982</td>\n      <td>10.808855</td>\n      <td>16.195667</td>\n      <td>25.058206</td>\n      <td>56.530736</td>\n    </tr>\n    <tr>\n      <th>Var</th>\n      <td>7525.000000</td>\n      <td>0.058967</td>\n      <td>0.021846</td>\n      <td>2.104320</td>\n      <td>0.143156</td>\n      <td>2.128274</td>\n      <td>0.000756</td>\n      <td>0.0</td>\n      <td>4.591018e+07</td>\n      <td>8957.672642</td>\n      <td>116.831338</td>\n      <td>262.299621</td>\n      <td>627.913668</td>\n      <td>3195.724138</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats['dqn'] = pd.DataFrame()\n",
    "stats['dqn'][\"mean\"] = data['dqn'].mean()\n",
    "stats['dqn'][\"Std.Dev\"] = data['dqn'].std()\n",
    "stats['dqn'][\"Var\"] = data['dqn'].var()\n",
    "\n",
    "stats['dqn'].T"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:00.930792Z",
     "start_time": "2024-03-01T04:56:00.924730Z"
    }
   },
   "id": "d326ca9875b26ee5",
   "execution_count": 6
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "Ttest_indResult(statistic=113.60614141992448, pvalue=0.0)"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scipy.stats.ttest_ind(data['a2c']['lateral_collisions'], data['dqn']['rear_end_collisions'])"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:00.968363Z",
     "start_time": "2024-03-01T04:56:00.933503Z"
    }
   },
   "id": "1de5256c3cf9c313",
   "execution_count": 7
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "Ttest_indResult(statistic=-3.395406947013558, pvalue=0.000730680564104436)"
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scipy.stats.ttest_ind(data['a2c']['lateral_collisions'], data['dqn']['lateral_collisions'])"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:00.968881Z",
     "start_time": "2024-03-01T04:56:00.936773Z"
    }
   },
   "id": "8cacd23bd969e4d2",
   "execution_count": 8
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "Ttest_indResult(statistic=-14.504978806517308, pvalue=4.549415862311835e-41)"
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scipy.stats.ttest_ind(data['a2c']['rear_end_collisions'], data['dqn']['rear_end_collisions'])"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:00.969315Z",
     "start_time": "2024-03-01T04:56:00.940487Z"
    }
   },
   "id": "9b66e565975039f",
   "execution_count": 9
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Axes: xlabel='algorithm', ylabel='rear_end_collisions'>"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='algorithm', y='rear_end_collisions', data=full_data)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:01.091920Z",
     "start_time": "2024-03-01T04:56:00.943349Z"
    }
   },
   "id": "5cfec7f453ed43f4",
   "execution_count": 10
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Axes: xlabel='algorithm', ylabel='timeLoss'>"
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='algorithm', y='timeLoss', data=full_data)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:01.197717Z",
     "start_time": "2024-03-01T04:56:01.027794Z"
    }
   },
   "id": "b9f6f049ff7016dc",
   "execution_count": 11
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Axes: xlabel='speed_limit', ylabel='timeLoss'>"
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_100 = {}\n",
    "stats_100 = {}\n",
    "data_100['a2c'] = pd.read_csv('results_safe_rl_report/a2c_0_100/summary.csv')\n",
    "data_100['dqn'] = pd.read_csv('results_safe_rl_report/dqn_0_100/summary.csv')\n",
    "data_100['ppo'] = pd.read_csv('results_safe_rl_report/ppo_0_100/summary.csv')\n",
    "data_100['trpo'] = pd.read_csv('results_safe_rl_report/trpo_0_100/summary.csv')\n",
    "\n",
    "full_data_100 = pd.concat([df.assign(identity=k) for k,df in data_100.items()])\n",
    "data_dict = {'50': full_data, '100': full_data_100}\n",
    "data_dict = {'50': data['a2c'], '100': data_100['a2c']}\n",
    "complete = pd.concat([df.assign(identity=k) for k,df in data_dict.items()])\n",
    "complete.rename(columns={'identity': 'speed_limit'}, inplace=True)\n",
    "\n",
    "sns.boxplot(x='speed_limit', y='timeLoss', data=complete)\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:01.200947Z",
     "start_time": "2024-03-01T04:56:01.113279Z"
    }
   },
   "id": "1bb014e7e61ae2df",
   "execution_count": 12
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "a2c_data = {'30': pd.read_csv('results_safe_rl_report/a2c_0_30/summary.csv'),\n",
    "            '50': pd.read_csv('results_safe_rl_report/a2c_0_50/summary.csv'),\n",
    "            '80': pd.read_csv('results_safe_rl_report/a2c_0_80/summary.csv'),\n",
    "            '100': pd.read_csv('results_safe_rl_report/a2c_0_100/summary.csv'),\n",
    "            '130': pd.read_csv('results_safe_rl_report/a2c_0_130/summary.csv')}\n",
    "\n",
    "a2c_data_full = pd.concat([df.assign(identity=k) for k,df in a2c_data.items()])\n",
    "a2c_data_full.rename(columns={'identity': 'speed_limit'}, inplace=True)\n",
    "\n",
    "trpo_data = {'30': pd.read_csv('results_safe_rl_report/trpo_0_30/summary.csv'),\n",
    "            '50': pd.read_csv('results_safe_rl_report/trpo_0_50/summary.csv'),\n",
    "            '80': pd.read_csv('results_safe_rl_report/trpo_0_80/summary.csv'),\n",
    "            '100': pd.read_csv('results_safe_rl_report/trpo_0_100/summary.csv'),\n",
    "            '130': pd.read_csv('results_safe_rl_report/trpo_0_130/summary.csv')}\n",
    "\n",
    "trpo_data_full = pd.concat([df.assign(identity=k) for k,df in trpo_data.items()])\n",
    "trpo_data_full.rename(columns={'identity': 'speed_limit'}, inplace=True)\n",
    "\n",
    "a2c_trpo_speed_dict = {'a2c': a2c_data_full, 'trpo': trpo_data_full}\n",
    "a2c_trpo_speed_data = pd.concat([df.assign(identity=k) for k,df in a2c_trpo_speed_dict.items()])\n",
    "a2c_trpo_speed_data.rename(columns={'identity': 'algorithm'}, inplace=True)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:01.304211Z",
     "start_time": "2024-03-01T04:56:01.207888Z"
    }
   },
   "id": "37fd1dd296ebb932",
   "execution_count": 13
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Axes: xlabel='speed_limit', ylabel='rear_end_collisions'>"
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "value_of_interest = 'rear_end_collisions'\n",
    "melt = pd.melt(a2c_trpo_speed_data[['algorithm', 'speed_limit', value_of_interest]], id_vars=['algorithm', 'speed_limit'])\n",
    "melt.rename(columns={'value': value_of_interest}, inplace=True)\n",
    "sns.boxplot(x='speed_limit', y=value_of_interest, hue='algorithm', data=melt)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:01.368060Z",
     "start_time": "2024-03-01T04:56:01.227787Z"
    }
   },
   "id": "35c767fd842dd1df",
   "execution_count": 14
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "a2c_data_shield = {'0': pd.read_csv('results_safe_rl_report/a2c_0_50/summary.csv'),\n",
    "            '1': pd.read_csv('results_safe_rl_report/a2c_1_50/summary.csv'),\n",
    "            '5': pd.read_csv('results_safe_rl_report/a2c_5_50/summary.csv'),\n",
    "            '10': pd.read_csv('results_safe_rl_report/a2c_10_50/summary.csv'),\n",
    "            '20': pd.read_csv('results_safe_rl_report/a2c_20_50/summary.csv'),\n",
    "            '50': pd.read_csv('results_safe_rl_report/a2c_50_50/summary.csv'),\n",
    "            '100': pd.read_csv('results_safe_rl_report/a2c_100_50/summary.csv')}\n",
    "\n",
    "a2c_data_shield = pd.concat([df.assign(identity=k) for k,df in a2c_data_shield.items()])\n",
    "a2c_data_shield.rename(columns={'identity': 'shield_distance'}, inplace=True)\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:01.382372Z",
     "start_time": "2024-03-01T04:56:01.369519Z"
    }
   },
   "id": "bbbdf5d9c9850a2b",
   "execution_count": 15
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Axes: xlabel='shield_distance', ylabel='lateral_collisions'>"
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='shield_distance', y='lateral_collisions', data=a2c_data_shield)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:01.491195Z",
     "start_time": "2024-03-01T04:56:01.385005Z"
    }
   },
   "id": "f196af4f20d28b7e",
   "execution_count": 16
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "full_data['collisions'] = full_data['lateral_collisions'] + full_data['rear_end_collisions']\n",
    "sns.boxplot(x='algorithm', y='timeLoss', data=full_data)\n",
    "plt.savefig('graphs/safe_rl_report/timeloss_per_algorithm.png')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:01.589453Z",
     "start_time": "2024-03-01T04:56:01.498658Z"
    }
   },
   "id": "77c5efe0688eea59",
   "execution_count": 17
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='algorithm', y='rear_end_collisions', data=full_data)\n",
    "plt.savefig('graphs/safe_rl_report/rear_end_collisions_per_algorithm.png')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:01.686578Z",
     "start_time": "2024-03-01T04:56:01.596851Z"
    }
   },
   "id": "4f3da2da70de014b",
   "execution_count": 18
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 2 Axes>",
      "image/png": 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H72EiIgu7+tXZ2RlVVVU6y9RqNTp27Nhi+4ULF+o8joqKwo4dO3Dw4EFERETovd2CggLDiyUiIiKyIBYV6jw9PXH48GGdZcXFxfDw8GixfWJiIgIDA/Hwww9rl9XW1sLJycmg7SqVSsjlVneSBRH9QaPR8MMZEdk8iwp1EyZMwFtvvYXNmzcjPDwceXl52L17N957770W258+fRq5ublISkpC586dsWHDBlRXV2PChAkGbVculzPUERERkVWzqNuEubq64oMPPsDnn3+OESNGYOnSpVi6dClGjhwJAMjNzYWPjw/KysoAAAkJCejbty+CgoIwYsQIHD16FJs2bYKLi4uIe0FERERkfqL31J06dUrnsVKpxCeffNJiWz8/P+Tn52sfu7i4ICEhwaT1EREREVkDi+qpIyIiIqK2YagjIiIikgCGOiIiIiIJYKgjIiIikgDRL5QgIiIylxorvPmINdZM4mCoIyIiSRMEQfu96pCriJW0X9N9Ibodh1+JiIiIJIA9dURERlRUVISVK1fi5MmTcHBwgL+/PxYuXIguXbrg1Vdfxfbt2+Hg4KBtv3DhQoSFhbW4ro0bNyItLQ3Xr1+HUqnE8uXL8eCDD5prVyRDJpNpv393zDU4WdkNhGo0/+thbLovRLdjTx0RkZGo1WpER0fDx8cH3377LT777DP89ttvWLx4MQCgoKAAr7/+OvLz87VfrQW6zMxMpKWlITU1FdnZ2Rg8eDBmz57N4bd2cpIDCiv7srYQSuJhqCMiMpKysjIMGjQIKpUKjo6OcHV1RVhYGHJyclBbW4vTp09jyJAheq1ry5YtmDp1Kjw8PODk5IS4uDiUlZUhOzvbxHtBRNaKw69EREby4IMP4v3339dZlpWVhcGDB6OoqAj19fVITk5GXl4e7r33XoSEhCA6Ohp2ds0/XxcXFyMmJkb72MHBAf369UNRUZH2ftj60mhs+/JJKe2/RqOR1P6QfvT9P2eoIyIyAUEQkJSUhAMHDiA9PR1Xr17F8OHDMW3aNLzzzjv46aefoFKpYGdnh+jo6Gavv3HjBpydnXWWKRQK3Lx50+BaCgoK2rwfUlBTUyN2CUZz4sQJODk5iV0GWSiGOiIiI6uursaiRYtw8uRJpKenY+DAgRg4cCD8/f21bby8vDB9+nTs3bu3xVDn7OwMtVqts0ytVqNjx44G16NUKiGX2+6JWbdu3RK7BKPx8vJqFvZJ+jQajV4fzhjqiIiMqKSkBDExMejZsye2bduGLl26AAC+/PJLXL16FVOmTNG2ra2thUKhaHE9Hh4eOHPmDMaNGwcAqKurw7lz5+Dp6WlwTXK53KZDnZT23db/L+nOeKEEEZGRVFZWYvr06fD19UVqaqo20AG/D8cmJCTgu+++gyAIyM/Px4cfftjq1a8hISFIT09HUVERampqsHr1ari5ucHPz89cu0NEVoY9dURERrJjxw6UlZVh3759+Pzzz3Wey8/Px6JFi7Bs2TJcvnwZbm5umDVrFoKCggAAubm5iImJwZ49e9CzZ0+EhoaiqqoKKpUKFRUVUCqVWL9+vc4cd0RETTHUEREZybPPPotnn3221eenTJmiM/zalJ+fH/Lz87WPZTIZIiMjERkZafQ6iUiaOPxKREREJAEMdUREREQSwFBHREREJAEMdUREREQSwFBHREREJAG8+pWIiGxGjUYGQDD6eoU/VimTGX3Vf9RMdHcMdUREZDNUh1zELoHIZDj8SkRERCQB7KkjIiJJUygUyMrKMtn61Wq19s4gO3fubPV+vsZgynWT9WOoIyIiSZPJZHB2djbLthQKhdm2RXQ7Dr8SERERSQBDHREREZEEMNQRERERSQBDHREREZEeDh8+jMmTJ+Pw4cNil9IihjoiIiKiu1Cr1Vi9ejUuX76M1atXQ61Wi11SMwx1RERERHeRnp6O8vJyAEB5eTkyMjJErqg5hjoiIiKiOygtLUVGRgaEP+4HJwgCMjIyUFpaKnJluhjqiIiIiFohCAISExNbXd4Y9CwBQx0RERFRK86fP4+cnBxoNBqd5RqNBjk5OTh//rxIlTXHUEdERETUCnd3dwwbNgxyuVxnuVwux/Dhw+Hu7i5SZc0x1BERERG1QiaTITY2ttXlMplMhKpaxlBHREREdAe9e/dGeHi4NsDJZDKEh4ejV69eIlemi6GOiIiI6C4iIiLQtWtXAICbmxvCw8NFrqg5hjoiIiKiu1AoFIiLi0P37t0xb948KBQKsUtqxl7sAoiIiIisgb+/P/z9/cUuo1XsqSMiIiKSAIY6IiIiIglgqCMiIiKSAIY6IiIiIglgqCMiIiKSAIY6IiIiIglgqCMiIiKSAIY6IiIiIglgqCMiIiKSAFFDXUVFBSZMmIDs7GztsuPHj2Py5Mnw8fHB+PHjsXXr1juuY+PGjRgzZgy8vb0xbdo0nD171tRlExEREVkc0UJdXl4ewsLCUFJSol1WWVmJmTNnIjg4GDk5OYiPj0dCQgJOnDjR4joyMzORlpaG1NRUZGdnY/DgwZg9ezYEQTDXbhARERFZBFFCXWZmJubPn4/Y2Fid5fv374eLiwvCw8Nhb2+PUaNGYeLEicjIyGhxPVu2bMHUqVPh4eEBJycnxMXFoaysTKfnj4jInIqKivDss89i+PDh8Pf3x4IFC1BRUQEAyMrKQlBQEHx9fTF+/HikpKSgoaGhxfU0NDTAx8cH3t7e8PHx0X7dvHnTnLtDRFZElFAXEBCAL774Ak8++aTO8jNnzsDT01Nn2YABA1BUVNTieoqLi3XaOzg4oF+/fq22JyIyJbVajejoaPj4+ODbb7/FZ599ht9++w2LFy9GYWEhFixYgLlz5yI3NxcbN27Ejh07sHnz5hbXVVxcjLq6Ohw9ehT5+fnarw4dOph3p4gkShAE3Lp1y6Cvmzdv4ubNmwa9xpyjh/Zm21IT3bp1a3H5jRs34OzsrLNMoVC0+snU0Pat0Wg0BrUnIstiKe/hsrIyDBo0CCqVCnK5HI6OjggLC8OCBQtw8eJFTJkyBePGjQMA9O/fHxMmTEBOTg4iIyObraugoAADBw6Eo6OjuXeDSPIEQYBKpUJhYaHJt6VUKpGSkgKZTGbybYkS6lrj7OyMqqoqnWVqtRodO3Zstb1arda7fWsKCgoMK5SIqAUPPvgg3n//fZ1lWVlZGDx4MAIDAxEYGKhdrlar8c0332DixIktrqugoAA1NTUICQnBxYsX0b9/f8TFxcHX19fguiwl9EpV05+vRqPhz9sKmLP3TBAEaDSadoU6fX+nLCrUeXp64vDhwzrLiouL4eHh0WJ7Dw8PnDlzRvvJt66uDufOnWs2hHs3SqUScrm8bUUTkeg0Go3FfTgTBAFJSUk4cOAA0tPTdZ6rrq7GnDlzoFAoMGPGjBZfr1Ao4OXlhTlz5qBz587IyMhAVFQUdu3ahT59+hhUi6X9bKSmpqZG+/2JEyfg5OQkYjWkr8jISNTW1urdvra2Fq+88goA4LXXXtO7F93R0RHHjx9vU42GsqhQN2HCBLz11lvYvHkzwsPDkZeXh927d+O9995rsX1ISAjWrFmDMWPG4IEHHkBiYiLc3Nzg5+dn0HblcjlDHREZTXV1NRYtWoSTJ08iPT0dAwcO1D539uxZzJ49G127dsWHH36Ie+65p8V1LFy4UOdxVFQUduzYgYMHDyIiIsKgevjB1bRu3bql/d7Ly6vZaUEkDU3/n/38/Mz6/6zvB1eLCnWurq744IMPEB8fj+TkZHTp0gVLly7FyJEjAQC5ubmIiYnBnj170LNnT4SGhqKqqgoqlQoVFRVQKpVYv349HBwcRN4TIrJVJSUliImJQc+ePbFt2zZ06dJF+9zBgwcxb948PP3004iLi4O9feuH4MTERAQGBuLhhx/WLqutrW1TLxA/uJpW058tf9bSZQ3/z6KHulOnTuk8ViqV+OSTT1ps6+fnh/z8fO1jmUyGyMjIFk8yJiIyt8rKSkyfPh0jR45EfHw87Oz+N8HADz/8AJVKhWXLliE0NPSu6zp9+jRyc3ORlJSEzp07Y8OGDaiursaECRNMuQtEZMV4mzAiIiPZsWMHysrKsG/fPgwdOlRnfrl169ahvr4e8fHxOsujo6MB/D4S4ePjg7KyMgBAQkIC+vbti6CgIIwYMQJHjx7Fpk2b4OLiIuIeEpElE72njohIKp599lk8++yzbXrt7SMRLi4uSEhIMFZpRGQD2FNHREREJAEMdUREREQSwFBHREREJAEMdUREREQSwFBHREREJAEMdUREREQSwClNiIiIbiMIAtRqtV5tm7bT9zXA7/f3bc9N3olux1BHRETUhCAIUKlUKCwsNPi1QUFBerdVKpVISUlhsCOj4fArERHRbRi0yBqxp46IiKgJmUyGlJQUvYdS//Wvf+Hjjz+GIAiQyWT429/+hunTp9/1dRx+JWNjqCMiIrqNTCaDs7PzXduVlpbi008/hSAIAH4fut2yZQv+8pe/oHfv3qYuk0gHh1+JiIjaQBAEJCYmtrq8MegRmQtDHRERURucP38eOTk50Gg0Oss1Gg1ycnJw/vx5kSojW8VQR0RE1Abu7u4YNmwY5HK5znK5XI7hw4fD3d1dpMrIVjHUERERtYFMJkNsbGyry3kRBJkbQx0REVEb9e7dG+Hh4doAJ5PJEB4ejl69eolcGdkihjoiIqJ2iIiIQNeuXQEAbm5uCA8PF7kislUMdURERO2gUCgQFxeH7t27Y968eVAoFGKXRDaK89QRERG1k7+/P/z9/cUug2wce+qIiIiIJIChjoiIiEgCGOqIiIiIJIChjoiIiEgCGOqIiIiIJIChjoiIiEgCOKUJERERWTVBEKBWq026jabrN/W2FApFm24zx1BHREREVk2tViMwMNBs2wsKCjLp+rOysuDs7Gzw6zj8SkRERCQB7KkjIiIiyXgJgKOJ1i388a/hA6N3VwtgZTvXwZ46IqI/3LhxA5s3bwYAFBcXY/LkyZg5cyYuX74sbmFEpDdHAI6QmeTL6Y8v06y//RjqiIj+8PrrryMzMxMAsGzZMvTs2RMuLi5YtmyZuIUREemBw69ERH84evQoduzYgcrKShw7dgwHDhyAi4sLAgICxC6NiOiu2FNHRPSHGzduwMXFBd999x369OmD7t27QyaTtWlqASIic2NPHRHRHzw8PPDee+/h0KFDGDduHKqrq5GUlITBgweLXRoR0V2xp46I6A/Lli3Dd999h3vuuQcvvPACfvzxR2RnZ+OVV14RuzQiortiTx0R0R8GDBiAtLQ07ePhw4dj9+7dIlZERKQ/9tQREf3hypUreOONNwAAubm5GD16NP7yl7+guLhY73UUFRXh2WefxfDhw+Hv748FCxagoqICAHD8+HFMnjwZPj4+GD9+PLZu3XrHdW3cuBFjxoyBt7c3pk2bhrNnz7Z954hI8hjqiIj+8Nprr+Hnn3+GIAh444038OSTT2LcuHF4/fXX9Xq9Wq1GdHQ0fHx88O233+Kzzz7Db7/9hsWLF6OyshIzZ85EcHAwcnJyEB8fj4SEBJw4caLFdWVmZiItLQ2pqanIzs7G4MGDMXv2bAiC0GJ7IvpdLYBaCFb41X56Db9Omzbtrld/ffjhh0Yoh4hIPAUFBdi7dy+uXLmCn376Campqbj33nsxYsQIvV5fVlaGQYMGQaVSQS6Xw9HREWFhYViwYAH2798PFxcXhIeHAwBGjRqFiRMnIiMjA15eXs3WtWXLFkydOhUeHh4AgLi4OGzZsgXZ2dkYOXKk8XaaSAKafthp710ZLEFbP7zpFeoaD2ilpaX48ssvERISgr59++KXX37Bli1b8P/+3/9r08aJiCzJrVu3oFAo8MUXX8DT0xOurq6orq6Gvb1+px8/+OCDeP/993WWZWVlYfDgwThz5gw8PT11nhswYAC2bdvW4rqKi4sRExOjfezg4IB+/fqhqKjI4FCn0WgMak9kbaT2O67RaHT2Sd/90+tI9cILLwAApk6dig0bNsDX11f7XGBgIF5++WVDaiUiskheXl5YtmwZ8vLy8MQTT+Dq1at47bXXMHz4cIPXJQgCkpKScODAAaSnp+PDDz+Es7OzThuFQoGbN2+2+PobN24Y1P5OCgoKDH4NkTWpqanRfm/Ke7+aUtN7vxYUFMDJycngdRh09etPP/2E//u//9NZNnDgQJw7d87gDRMRWZr4+Hi888478PPzw3PPPYcff/wRtbW1WLFihUHrqa6uxqJFi3Dy5Emkp6dj4MCBcHZ2RlVVlU47tVqNjh07trgOZ2dnqNVqvdvfiVKphFwuN/h1RNbi1q1b2u8b7/1qff435Orl5aXzoU6j0ej14cygUNe/f39s3rwZUVFR2mXr1q3DoEGDDFkNEZFFuu+++/Dmm28CAMrLyzF48GCsW7fOoHWUlJQgJiYGPXv2xLZt29ClSxcAgKenJw4fPqzTtri4WHvO3O08PDxw5swZjBs3DgBQV1eHc+fONRvC1YdcLmeoI0mT2u93W9+zBl39unjxYqxfvx6PPvoopkyZgjFjxuDTTz/lza6JSBJqa2vxxhtvwMfHBwEBARg6dChefvll1Nbqd11aZWUlpk+fDl9fX6SmpmoDHQBMmDABV69exebNm1FXV4fvv/8eu3fvRkhISIvrCgkJQXp6OoqKilBTU4PVq1fDzc0Nfn5+RtlXIpIeg3rqfH19sX//fnzzzTe4fPky7r//fowfPx733nuvqeojIjKbtWvXIjs7G0lJSejduzdKSkqQmJiIpKQkLFiw4K6v37FjB8rKyrBv3z58/vnnOs/l5+fjgw8+QHx8PJKTk9GlSxcsXbpUe9FDbm4uYmJisGfPHvTs2ROhoaGoqqqCSqVCRUUFlEol1q9fDwcHB5PsOxFZP5nQhutmf/zxR5SWluLRRx9FVVUVunbtaoraTE6j0eCHH36At7e35LpuiWyJsd7Ljz32GDZt2oQ+ffpol5WUlCA8PBz/+c9/jFGqWfEYR7bi1q1bCAwMBAC8DOs8p64WAhpnxMzKymp2Tp0+72WDhl/Ly8sxZcoUPP3003jppZdw4cIFPPbYY8jPz2/TDhARWZLKykr06NFDZ1mPHj2aXbBARGSJDAp1b7zxBjw9PZGTkwN7e3v0798fM2fOxKpVq0xVHxGR2QwcOBCffPKJzrJPPvmkTRcnEBGZm0Hn1H3//ff48ssv4ezsrL3DRHR0ND744AOTFEdEZE5z585FZGQkdu3ahT59+qCkpATFxcVITU0VuzQi0tPvlzWZ5nZ6jWs1xeCu2W4T1sjBwQFqtRrOzs7aW1jcuHGjTfMm3cnPP/+MN954A8ePH8c999yDsLAwPPfcc7Cza96xGB0djezsbJ0Z3//5z39izJgxRq2JiKTPz88PO3fuxO7du3H16lVMmDABSUlJ6NWrl9ilEZGepHCbsLYyKNSNHz8eL774IpYuXQqZTIby8nKsWLECY8eONVpBN27cQHR0NPz9/bFmzRpcu3YNf//736HRaLR3tmiqsLAQqampbZrxnYjodg888ABmz56tfXzr1i18+umnCAsLE7EqIqK7MyjUxcXFYdGiRdp7vQYEBGDs2LF47bXXjFZQXl4eysvL8corr8DR0REdOnTAP/7xD8THx0OlUmmHfQHgwoULqKysxMMPP2y07RMRNXX9+nUsW7aMoY7IgikUCmRlZZl0G2q1GkFBQQCAnTt3QqFQmGxbbV23QaGuY8eOSE5ORkVFBUpLS3H//ffjvvvua9OGW9PQ0AAHBweduZhkMhmuXr2K69evo3PnztrlBQUF6NixI2JjY1FQUAA3NzfMmDEDoaGhBm1TajcCJstw5MgRJCcnY/bs2Rg9erTY5Uga38NEtk0mkzW7V7IpKRQKs25PXwaFOgCoqKjArl27cPHiRcyZMwcHDhzQ3sbGGHx9faFQKLB69WrtpJuNJymr1WqdUFdbWwtvb2/ExsbCw8MD2dnZmDVrFjp27IgnnnhC723yZtdkbLW1tVi1ahUqKyuxatUqLF68GI6O1niLaSIishYGhbqTJ0/i2WefxYMPPohTp07hmWeewZw5c/Dqq6+2eqsbQ3Xq1AkbN25EQkICHn30UfTt2xfBwcEoKChAp06ddNoGBwcjODhY+zggIADBwcHYt2+fQaGON7smY/vggw9w/fp1AL8P3xUWFiIyMlLkqqRL35tdExFJmUGhLiEhAQsXLsRTTz2FYcOGoU+fPnj33XeRkJBgtFBXW1uL+vp6fPjhh9rz5z766CMMGDCgWVfntm3bmvXK1dbWwsnJyaBt8mbXZEylpaX46KOPtFeIC4KAjz/+GE888QR69+4tcnXUkpSUlFafu3HjhhkrISJqO4NC3enTp7UnCTYGrkceeQRz5841alFRUVFYsGABQkNDcfLkSaxbt67FK1+rq6vxzjvvwN3dHYMGDcKhQ4fw2WefcU4pMglBEO56ZwFBELB69epWl8fHx+tc7HM7hUJxx+fJNLKzs+/4vJ+fn5kqISJqO4NCXZcuXXD27Fl4eHhol509exZubm5GK8jR0RHvvfceEhIS8MYbb6Br166IiYnB008/DQDw8fHB8uXLMWnSJEyfPh03b97ECy+8gPLycvTp0wcrV67kAZiMThAEqFQqFBYWtun1Go0GeXl52ivHW6NUKpGSksJgZ2ZpaWlil0BE1G4GhbqpU6fiueeew9///nfU19dj7969WLt2rdEv9R82bBh27NjR4nNN7zMrk8nw/PPP4/nnnzfq9olawqBlGxovBisrK8Ps2bORk5Nj1IvBiIhMxaBQ98wzz0Aul+Nf//oXGhoa8M9//hNhYWGYMWOGicojsgwymQwpKSl63dj94sWLiImJ0Zlmw97eHhs3bkTPnj3v+FoOv4rr9ovBpk2bZvSLwYiITMXgKU3Cw8MRHh5uilqILJq+8yANGDAAYWFh+Oijj7SvCw8PR//+/U1dIrWTOS4GIyIyleY3U72D+vp6JCcn409/+hO8vLwQGBjIixKIWtD0lISuXbvyg5CVaO1isMuXL4tZFhGRXgzqqVu1ahW++eYbPPfcc+jRowcuXLiADz74ADU1NTyvjaiJprd4mTVrlklvJ0PGY46LwYiITMWgULdr1y5s2bIFffv21S4bOXIkpk+fzlBH1IqRI0eKXQLpyVwXgxERmYJBoU4QBHTr1k1nWe/evbWTrBIRWTNeDEZE1sygUBceHo6lS5fi1VdfRadOnVBTU4OVK1ciNDTUVPUREZkVLwYjImtlUKjbvn07Ll++jH379qFz586oqqpCfX09AGD9+vXadj/99JNxqyQiMoPffvsNH330ES5evIiGhgad5xISEkSqiohIPwaFurfeegv19fWwt7dHQ0MDampqcObMGXh5eZmqPiIis5k7dy4uXboEb29v2NkZNDkAEZHoDAp11dXVWLp0KY4cOYL33nsP69atg0wmw5IlS7S38SKyBvrcx7U9mq7blNtpxEmLjeP48eM4cOAAXFxcxC6FiMhgBoW6tWvXYu7cuWhoaEB6ejrWrFmDrl27IjY2lqGOrIparUZgYKBZttU475kpZWVl6TUxMt1Z3759UVdXJ3YZRERtYlCoKykpwdNPP40ff/wRt27dgr+/P+zt7XH16lVT1UdEZDavvPIKZs6cieDgYHTu3FnnueDgYHGKIiLSk0GhztnZGeXl5fj6668xdOhQ2Nvbo6ioCK6urqaqj8jkNBM1bbhhnh4aZ/ox1ahoPSDfLTfRym3Ttm3bcPr0aWzatEnnnDqZTMZQR0QWz6A/ZSEhIQgODsb169eRnJyMwsJCREdHIzIy0lT1EVkvnuJmdT7//HPs3LkTAwYMELsUIiKDGRTqZs2aheHDh8PJyQne3t64dOkSXnvtNTz++OOmqo/IJJpOmC2F3i5OAG4crq6uOnfMISKyJgYPOo0YMUL7fY8ePdCjRw+jFkREJJbZs2dj0aJFiIqKQufOnXWuKO7Zs6eIlRER3Z0pziQisnhN/1ib7Jw6U2tyTh2nMzGOhQsXAgD27Nmj/ZkKggCZTMZJ1YnI4lnjnzIi47IH3wkEAPjqq6/ELoGIqM34p4yo3kTrNcPVr2RcvXr1ErsEIqI2Y6gjmyeFCyWofXx9fXHs2DEMGjSo2VC2IAiws7PDjz/+KFJ1RET6YagjIpu3YcMGAICHhwdefvllnecEQcBLL70kRllERAZhqCObpFAokJWVZbL1q9Vq7e3Bdu7cCYVCYbJtATD5+qXs8uXLKC0tRWlpKUpKSlBWVqbzfFVVFSorK0WqjohMxdB7gLf1nt7mvDc3Qx3ZJJlMZrZ7pSoUCt6X1YK5uroiPT0dFRUVqK2tRXJyss7zTk5OeOGFF0SqjohMQRAEqFQqFBYWtun1htzTW6lUIiUlxSzBjqGOiGyao6Mjtm3bBgCIiopCamqq0dZdUVGBsLAwrFixAiNGjMArr7yC3bt367RRq9UYPXp0i9ttaGjA0KFDtdOqNDp8+DA6dOhgtDqJbJEUp4JiqCMi+oMxA11eXh4WLlyIkpIS7bLXXnsNr732mvbxt99+i7i4OO38eLcrLi5GXV0djh07BkdHR6PVRmTrZDIZUlJSDBpGBf539x5DAiGHX4mIrFhmZiaSk5Px4osvIjY2tsU2FRUVmD9/PpYsWQIPD48W2xQUFGDgwIEMdEQmYM7TcMyFoY5IT4acVGsNJ9SS6QQEBGDixImwt7dvNdS9/fbbGDJkCCZNmtTqegoKClBTU4OQkBBcvHgR/fv3R1xcHHx9fQ2qR6PRGNSeiCyLvu9hhjoiPbTnpFpLPaGWTKdbt253fP7ChQvYtWsXtm7desd2CoUCXl5emDNnDjp37oyMjAxERUVh165d6NOnj971FBQU6N2WiKwXQx21iaGXgje+BrDccxHuxlLqIOu3fft2+Pj44KGHHrpju9vPtYuKisKOHTtw8OBBRERE6L09pVIJuZyTbBNZK41Go9eHM4Y6Mlh7LwU3hKX0XLXlpFprD7FkOvv370dkZORd2yUmJiIwMBAPP/ywdlltbS2cnJwM2p5cLmeoI7IBDHXUJrYYPKR4Ui2Z37Vr1/Dzzz9j2LBhd217+vRp5ObmIikpCZ07d8aGDRtQXV2NCRMmmKFSIrI2DHVksLb0WrX1DgvsuSKpKS0tBQB079692XO5ubmIiYnBnj170LNnTyQkJGDlypUICgrCrVu3oFQqsWnTJri4uJi5aiKyBgx11Cbt6bXiHRbIlpw6dUrnsVKpbLaskZ+fH/Lz87WPXVxckJCQYNL6iEg67MQugIiIiIjaj6GOiIiISAIY6oiIiIgkgKGOiIiISAIY6oiIiIgkgKGOiIiISAIY6oiIiIgkgKGOiIiISAIY6oiIiIgkgKGOiIiISAIY6oiIiIgkgKGOiIiISAIY6oiIiIgkgKGOiIiISAIY6oiIiIgkgKGOiIiISAIY6oiIiIgkgKGOiIiISAIsMtT9/PPPiIqKgp+fHx599FGsXbsWDQ0NLbY9ePAgJk6cCG9vbzzxxBM4cOCAmaslIiIiEp/FhbobN24gOjoaPXr0wKFDh5CRkYG9e/fivffea9b23LlzmDVrFubMmYPc3FzMmjULc+fOxeXLl0WonIiIiEg8Fhfq8vLyUF5ejldeeQUdOnRAr1698I9//AMff/wxBEHQaZuZmQk/Pz889thjsLe3x5NPPolhw4bh008/Fal6IiIiInHYi13A7RoaGuDg4AAHBwftMplMhqtXr+L69evo3LmzdnlxcTE8PT11Xj9gwAAUFRUZtE2NRtO+oumumv6MNRoNf+ZkVPx9IiKywFDn6+sLhUKB1atXQ6VSoaKiAqmpqQAAtVqtE+pu3LgBZ2dnndcrFArcvHnToG0WFBS0v3C6o5qaGu33J06cgJOTk4jVEBERSY/FhbpOnTph48aNSEhIwKOPPoq+ffsiODgYBQUF6NSpk05bZ2dnqNVqnWVqtRodO3Y0aJtKpRJyubzdtVPrbt26pf3ey8urWRgnag+NRsMPZ0TtJAhCs7+pd2sP/D6api+FQmFQezKMxYW62tpa1NfX48MPP9T+x3/00UcYMGBAsyDg6emJkydP6iwrLi7GkCFDDNqmXC5nqDOxpj9f/ryJiCyLIAhQqVQoLCw06XaUSiVSUlIY7EzE4i6UAICoqChs27YNgiCgsLAQ69atw/Tp05u1mzRpEo4ePYq9e/eivr4ee/fuxdGjRxEUFCRC1URERNaLQcv6WVxPnaOjI9577z0kJCTgjTfeQNeuXRETE4Onn34aAODj44Ply5dj0qRJ6N+/P9599128/fbbWLJkCXr16oU1a9bggQceEHkvrIuhXe5t0XT9pt4Wu/eJiAwjk8mQkpKi9/FZrVZrO1B27twJhUKh1+t4fDYtiwt1ADBs2DDs2LGjxefy8/N1Hj/yyCN45JFHzFGWZKnVagQGBppte6buSc3KyuI5e0REBpLJZG06dioUCh5zLYRFDr8SERERkWEssqeOxPPumN/gJBfu3rANGueONkXPe41GBtUhF+OvmIiIyEow1JEOJ7kAhVVemGqaIEpERGQtOPxKREREJAEMdURkNIcPH8bkyZNx+PBhsUshIrI5HH4lIqNQq9VYvXo1rl69itWrV2Po0KF6T3NARMZl6qmqOE2VZWKoIyKjSE9PR3l5OQCgvLwcGRkZiIqKErkqIttkzqmqOE2V5eDwKxG1W2lpKTIyMrT3ghQEARkZGSgtLRW5MiIi28GeOiJqF0EQkJiY2Oryt99+22aHTioqKhAWFoYVK1ZgxIgRAIBXX30V27dvh4ODg7bdwoULERYW1uI6Nm7ciLS0NFy/fh1KpRLLly/Hgw8+aJb6SRo0T2hM89e+cdIBU7y96wH5PqucikFUDHVE1C7nz59HTk5Os+UajQY5OTk4f/48+vXrZ/7CRJaXl4eFCxeipKREZ3lBQQFef/11/PWvf73rOjIzM5GWlobU1FT07dsXiYmJmD17Nnbv3m2zQZn009hrDlh/OGq6L3RnHH4lonZxd3fHsGHDIJfr/uGQy+UYPnw43N3dRapMPJmZmZg/fz5iY2N1ltfW1uL06dMYMmSIXuvZsmULpk6dCg8PDzg5OSEuLg5lZWXIzs42RdlEZOXYU0c6ajRiV9A21lq3FMhkMsTGxmLatGktLrfFHqWAgABMnDgR9vb2OsGuqKgI9fX1SE5ORl5eHu69916EhIQgOjoadnbNP2MXFxcjJiZG+9jBwQH9+vVDUVERRo4cqXc9Gg3fILamoaFB+721D782NDTY/O+wvvvPUEc6XduqQ64iVmIc7Ko3v969eyM8PBxpaWkQBAEymQzh4eHo1auX2KWJolu3bi0ur6qqwvDhwzFt2jS88847+Omnn6BSqWBnZ4fo6Ohm7W/cuNHsqj+FQoGbN28aVE9BQYFB7cn61dTUaL+39uHXEydOwMnJSewyrAJDHREZRUREBPbu3YurV6/Czc0N4eHhYpdkcfz9/eHv76997OXlhenTp2Pv3r0thjpnZ+dmc4Cp1Wp07NjRoO0qlcpmw+Mkbbdu3RK7BKPx8vKy+SlNNBqNXh/OGOpIZ3js3THX4GSFx/4azf96GW1xuM8SKBQKxMXFISkpCXPnzuXEwy348ssvcfXqVUyZMkW7rLa2ttWflYeHB86cOYNx48YBAOrq6nDu3Dl4enoatF25XM5QZ2M6duyIrKwsk61frVZr56fbuXOnSd/vnHxYfwx1pMNJDih47Kc2ur0ninQJgoCEhAS4u7tj5MiR+OGHH/Dhhx9i0aJFLbYPCQnBmjVrMGbMGDzwwANITEyEm5sb/Pz8zFw5WRuZTGa23i2FQmHzPWmWgqGOiFpl6K2GGs9nNORTtS19Cp8wYQIWLVqEZcuW4fLly3Bzc8OsWbO0PR65ubmIiYnBnj170LNnT4SGhqKqqgoqlQoVFRVQKpVYv369zhx3RESNGOqIqEWCIEClUqGwsNCk21EqlUhJSZFssDt16pTO4ylTpugMvzbl5+eH/Px87WOZTIbIyEhERkaatEYikgbOU0dErZJq0CIikiL21BFRi2QyGVJSUvQefm3ridO2NPxKRGRKDHVE1Kq2nmzNE6eJbMf333+vvUKbxMVQRzpqNDL8b5pw42qcE9gUnTK/101ERG1lyIVRlZWV2u+Tk5Ph7e2tV+88e+ZNi6GOdKgOuYhdAhERmVl7LowqLy/XnnpxN1K/MEpsvFCCiIiIGLQkgD11BIVCYdKZxwHzzz5ORET60/fCKEEQsGTJEvzwww86N5mXy+Xw9vZGfHz8HcMhh19Ni6GOzDrzOMCT6ImILJE+fwvOnTuHvLy8Zss1Gg3y8vLw66+/ol+/fiaqkO6Gw69ERESkF3d3dwwbNqzZvYTlcjmGDx8Od3d3kSojgKGOiIiI9CSTyRAbG9vqcg6tiouhjoiIiPTWu3dvhIeHawOcTCZDeHg4evXqJXJlxFBHREREBomIiEDXrl0BAG5ubggPDxe5IgIY6oiIiMhACoUCcXFx6N69O+bNm8dZBywEr34lIiIig/n7+8Pf31/sMqgJ9tQRERERSQBDHREREZEEMNQRERERSQBDHREREZEEMNQRERERSQBDHREREZEEMNQRERERSQBDHREREZEEMNQRERERSQBDHREREZEEMNQRERERSQBDHREREZEE2ItdABGZhyAIUKvVJlt/03WbcjsAoFAoIJPJTLoNIiJrw1BHZCPUajUCAwPNsq2goCCTrj8rKwvOzs4m3QYRkbXh8CsRERGRBLCnjsgGvQTA0QTrFf741xQDo7UAVppgvUREUsFQR2SDHAE4miR6mZJw9yZERDaMw69EREREEmCRoe7kyZMIDw+Hn58fAgICsGLFCtTW1rbYNjo6GkqlEj4+PtqvQ4cOmbliIiIiInFZ3PBrQ0MDnnvuOcycORNpaWn49ddfMWPGDLi6ukKlUjVrX1hYiNTUVAwfPlyEaomIiIgsg8WFusrKSly5cgUNDQ0QhN/PobGzs2tx+oILFy6gsrISDz/8sLnLtHmGznnW1jnMOB8ZERGRfiwu1Lm6umLGjBlYuXIlVq1aBY1Ggz/96U+YMWNGs7YFBQXo2LEjYmNjUVBQADc3N8yYMQOhoaHmL9yGCIIAlUqFwsLCNr3ekDnMlEolUlJSGOyIiIjuwuJCXUNDAxQKBV5++WWEhobi/PnzeOGFF5CcnIy5c+fqtK2trYW3tzdiY2Ph4eGB7OxszJo1Cx07dsQTTzyh9zY1Go2R90LaGntQzbUtjUbDUGcEUvo912g0OvtjqftWUVGBsLAwrFixAiNGjADw+8TJ7733Hi5cuAAXFxc89dRTeP7552Fn1/wU54aGBgwdOhSCIOi8Bw4fPowOHTqYbT+IyDpYXKj74osvkJWVhc8//xwA4OHhAZVKhfj4+GahLjg4GMHBwdrHAQEBCA4Oxr59+wwKdQUFBcYo3aZERka2evFKS/bv348DBw5o/ziNGzcOjz/++F1f5+joiOPHj7enVPpDTU2N9vvf/+esa4qQpr9tJ06cgJOTk2i16CMvLw8LFy5ESUmJdllhYSEWLFiApKQkjB07Fv/9738RExODDh06IDIystk6iouLUVdXh2PHjsHR0RQzCxKRlFhcqLt06VKzsGBvbw8HB4dmbbdt29asV662ttbgg71SqYRcLm9bwXRXFy9exMGDB7U9fIIg4NChQ4iMjESvXr1Ers523Lx5U/u9tU/iq1QqdXqqNBqNRX04y8zMRHJyMl588UXExsZql1+8eBFTpkzBuHHjAAD9+/fHhAkTkJOT02KoKygowMCBAxnoiEgvFhfqAgICsHr1aqxbtw4xMTEoKyvD2rVrMXHixGZtq6ur8c4778Dd3R2DBg3CoUOH8NlnnyE1NdWgbcrlcoY6ExEEAf/85z9bXf72229zaNVMpPQ7bunv2YCAAEycOBH29vY6oS4wMFDn/rtqtRrffPNNi8c34PdQV1NTg5CQEFy8eBH9+/dHXFwcfH19DarHUoeniUg/+r6HLS7UDRgwAOvXr0dSUhLef/993HvvvZg0aZJ2OhMfHx8sX74ckyZNwvTp03Hz5k288MILKC8vR58+fbBy5Ur4+fmJvBfU6Pz588jJyWm2XKPRICcnB+fPn0e/fv3MX5gNahqeTXWbMFNqepswS/8g0K1bt7u2qa6uxpw5c6BQKFq8EAz4/epvLy8vzJkzB507d0ZGRgaioqKwa9cu9OnTR+96LKkXk4hMx+JCHQCMHj0ao0ePbvG5/Px87fcymQzPP/88nn/+eXOVRgZyd3fHsGHDcOzYMZ1PGnK5HEOHDoW7u7uI1dku3iZMXGfPnsXs2bPRtWtXfPjhh7jnnntabLdw4UKdx1FRUdixYwcOHjyIiIgIvbfHU0yIrJu+p5hYZKgj6ZDJZIiNjcW0adNaXG7pPS5Exnbw4EHMmzcPTz/9NOLi4mBv3/phODExEYGBgTpzcbblvGFLH64mIuOwyNuEkbT07t0b4eHhOsvCw8N5kQTZnB9++AEqlQqLFi3CSy+9dMdABwCnT59GfHw8rly5gtraWqSkpKC6uhoTJkwwU8VEZE0Y6sgsQkNDtfNw2dnZISQkROSKiMxv3bp1qK+vR3x8vM79qqOjowEAubm58PHxQVlZGQAgISEBffv2RVBQEEaMGIGjR49i06ZNcHFxEXEviMhScfiVzGLbtm06U5ps374dUVFRIldFZHqnTp3Sfr9u3bo7tvXz89M5b9jFxQUJCQkmq42IpIU9dWRypaWlyMjI0Al1GRkZKC0tFbkyIiIi6WCoI5MSBAGJiYmtLjfnLceIiIikjMOvZFKcp84ymeo2YY1rNMU1zfrflI6IyDYx1JFJcZ46y2TttwkjIqLmOPxKJtU4H11ryzlPHRERkXGwp45MrnGeurS0NAiCAJlMxnnqRKBQKJCVlWWy9avVagQFBQEAdu7cCYVCYbJtmXLdRETWiqGOzCIiIgJ79+7F1atX4ebm1mwyYjI9mUwGZ2dns2xLoVCYbVtERPQ7Dr+SWSgUCsTFxaF79+6YN28ee1qIiIiMjD11ZDb+/v7w9/cXuwwiIiJJYk8dERERkQQw1BERERFJAEMdERERkQQw1BERERFJAEMdERERkQQw1BERERFJAEMdERERkQQw1BERERFJAEMdERERkQQw1BERERFJAEMdERERkQQw1BERERFJAEMdERERkQQw1BERERFJAEMdERERkQQw1BERERFJAEMdERERkQQw1BERERFJAEMdERERkQQw1BERkVEdPnwYkydPxuHDh8UuhcimMNQREZHRqNVqrF69GpcvX8bq1auhVqvFLonIZjDUERGR0aSnp6O8vBwAUF5ejoyMDJErIrIdDHVERGQUpaWlyMjIgCAIAABBEJCRkYHS0lKRKyOyDfZiF0BElksQBL2Hz5q2M2TITaFQQCaTGVwbWRZBEJCYmIiGhgad5RqNBomJiXj77bf5/0xkYgx1RNQiQRCgUqlQWFho8GuDgoL0bqtUKpGSksI/+Fbu/PnzyMnJabZcEATk5OTg/Pnz6Nevn/kLI7IhHH4lolYxaJG++vbti06dOrX4XKdOndC3b18zV0Rke9hTR0QtkslkSElJ0Xso9V//+hc+/vhjCIIAmUyGv/3tb5g+ffpdX8fhV2koKSnB9evXW3zu+vXrKCkpYU8dkYmxp46IWiWTyeDs7HzXr/Lycnz66ac6J8hv2bIF5eXld32tlANdRUUFJkyYgOzsbO2y48ePY/LkyfDx8cH48eOxdevWO65j48aNGDNmDLy9vTFt2jScPXvW1GW3Sd++fXHPPfe0+Nw999zDnjoiM2CoI6J2aTxBvrXljUHP1uTl5SEsLAwlJSXaZZWVlZg5cyaCg4ORk5OD+Ph4JCQk4MSJEy2uIzMzE2lpaUhNTUV2djYGDx6M2bNnm/1nKggCbt26dcev06dPo7q6usXXV1dX4/Tp03d8va3+nhAZE4dfiahdWjtBXqPR2OwJ8pmZmUhOTsaLL76I2NhY7fL9+/fDxcUF4eHhAIBRo0Zh4sSJyMjIgJeXV7P1bNmyBVOnToWHhwcAIC4uDlu2bEF2djZGjhxpln1pzwUzTc2cOfOOz/OCGaL2Y6gjonZxd3fHsGHDcOzYMWg0Gu1yuVyOoUOHwt3dXcTqxBEQEICJEyfC3t5eJ9SdOXMGnp6eOm0HDBiAbdu2tbie4uJixMTEaB87ODigX79+KCoqMijUNf1/MZS5etAEQYBGo2GoI2qBvu9hhjoiaheZTIbY2FhMmzatxeW2+Ee6W7duLS6/ceMGnJ2ddZYpFArcvHnTKO1bU1BQYFD720VGRqK2tvau7a5evYrVq1frBEGZTIb58+eja9eud3yto6Mjjh8/3q46iWwdQx0RtVvv3r0RHh6OtLQ07dWv4eHh6NWrl9ilWRRnZ2dUVVXpLFOr1ejYsWOr7W+/+vhO7VujVCohl8sNK7aNzp07p9PzOGXKFDz55JNm2TaRVGk0Gr0+nDHUEZFRREREYO/evbh69Src3Ny0543R/3h6euLw4cM6y4qLi7XnzN3Ow8MDZ86cwbhx4wAAdXV1OHfuXLMh3LuRy+VmC3XTpk3ThrpOnTrh2WefNdu2iWwdQx0RGYVCoUBcXBySkpIwd+5cKBQKsUuyOBMmTMBbb72FzZs3Izw8HHl5edi9ezfee++9FtuHhIRgzZo1GDNmDB544AEkJibCzc0Nfn5+ba7BkFu/tdesWbO0V86aCuc5JPofhjoiMhp/f3/4+/uLXYbFcnV1xQcffID4+HgkJyejS5cuWLp0qfaih9zcXMTExGDPnj3o2bMnQkNDUVVVBZVKhYqKCiiVSqxfvx4ODg5trkGtViMwMNBYu3RH8fHxiI+PN+k2srKymp13SGSrGOqIiEzo1KlTOo+VSiU++eSTFtv6+fkhPz9f+1gmkyEyMhKRkZEmrZGIpIGTDxMR2RCpTfIrtf0hag+LDHUnT55EeHg4/Pz8EBAQgBUrVrR6Of3BgwcxceJEeHt744knnsCBAwfMXC0RERGR+Cxu+LWhoQHPPfccZs6cibS0NPz666+YMWMGXF1doVKpdNqeO3cOs2bNwjvvvINHH30U+/fvx9y5c7F//350795dpD0gIrJcTS8quPF/YYCdCa5Mbew9M9UFDA0adDz+6R+b4EUSRI0sLtRVVlbiypUraGho0Har29nZtXgibGZmJvz8/PDYY48BAJ588kns2LEDn376KWbPnm3WuomIrE1jMCIiabC4UOfq6ooZM2Zg5cqVWLVqFTQaDf70pz9hxowZzdoWFxe3eMudoqIig7bZnlvoEJH4+B4mIrLAUNfQ0ACFQoGXX34ZoaGhOH/+PF544QUkJydj7ty5Om0t5RY6RPS7wsJC7NixA0899RSGDBkidjnUAoVCgaysLJOtX61WIygoCACwZMkSjBkzxmTbAsD5EImasLhQ98UXXyArKwuff/45gN9nVFepVIiPj28W6qzxFjpEUqVWqxEfH49r165h586dCA0NNdsfXH1voUO/n4Nmynndmh6T169fj7FjxzJ4EZmJxYW6S5cuNbvS1d7evsXJNj09PXHy5EmdZcXFxQb3EJjzFjpEUvXxxx+jvLwcAFBeXo5PPvkEUVFRIldF5vbpp/87T6+8vBwZGRn8PSAyE4ub0iQgIABXrlzBunXroNFocOHCBaxduxYTJ05s1nbSpEk4evQo9u7di/r6euzduxdHjx7Vdv0TkXmUlpYiIyNDe3GTIAjIyMhAaWmpyJWRMTTe6utuX8XFxTqhrvH3oLi4+K6v5XxzRO1ncT11AwYMwPr165GUlIT3338f9957LyZNmqSdzsTHxwfLly/HpEmT0L9/f7z77rt4++23sWTJEvTq1Qtr1qzBAw88IPJeENkOQRCQmJjY6vK3336b005YMUEQoFKpUFhY2KbX19fX63VHDKVSiZSUFP6uELWDxYU6ABg9ejRGjx7d4nNNb6EDAI888ggeeeQRc5RFRC04f/48cnJymi3XaDTIycnB+fPn0a9fP/MXRkbDoEVkHSwy1BGR9XB3d8ewYcNw7NgxnalF5HI5hg4dCnd3dxGro/aSyWRISUlpdlHa7QRBwJIlS5Cfn4+GhgbtcrlcDh8fH6xYseKO4VChUDA8ErWTxZ1TR0TWRSaTITY2ttXl/ENt/RqvmL3TV4cOHRAXF9fs/1smkyEuLg4dOnS44+v5e0LUfgx1RNRuvXv3Rnh4uPYPs0wmQ3h4OHr16iVyZWRO/D0gEhdDHREZRUREBLp27QoAcHNzQ3h4uMgVkRj4e0AkHoY6IjIKhUKBuLg4dO/eHfPmzeOEszaKvwdE4uGFEkRkNP7+/vD39xe7DBIZfw+IxMGeOiIiIiIJYKgjIiIikgCGOiIiIiIJYKgjIiIikgCGOiIiIiIJYKgjIiIikgCGOiIiIiIJYKgjIiIikgCGOiIiIiIJYKgjIiIikgCGOiIiIiIJsOl7vwqCAADQaDQiV0JE7dH4Hm58T9PveIwjkgZ9j3E2HeoaGhoAAAUFBSJXQkTG0Piept/xGEckLXc7xskEG/5o29DQgPr6etjZ2UEmk4ldDhG1kSAIaGhogL29PezseFZJIx7jiKRB32OcTYc6IiIiIqngR1oiIiIiCWCoIyIiIpIAhjoiIiIiCWCoIyIiIpIAhjoiIiIiCWCoIyIiIpIAhjoiuquamhr88ssvYpdBRGQSUjnGMdSZWVZWFoKCguDr64vx48cjJSVFcrPgr1mzBtOmTRO7DDKiqVOn4siRI2KXQVaAxziyRlI5xtn0bcLMrbCwEAsWLEBSUhLGjh2L//73v4iJiUGHDh0QGRkpdnlErbp27ZrYJZAV4DGOrJVUjnG8o4QJfP3119iwYQPOnz+PmzdvQqlUYsWKFTh16hSOHTuGRYsWadsmJCSgpKQEa9euRX19Pd59913s2LEDVVVVeOihh/Dyyy9j0KBBIu7N3R07dgzx8fH4+eefMWjQILi7u6OsrAxpaWnYunUr1q1bh4qKCowdOxYNDQ3w8PDArFmzsHDhQjg6OuLXX39FdnY2unTpgunTp+OZZ54Re5fuqrS0FH/605+wdOlSrFu3Dmq1GuPHj8err76KTZs24aeffoJcLsd//vMfdOnSBc899xzCwsIA/H7weOedd3DgwAHU1dXB29sbixYtQr9+/cTdqVZERkbiyJEjcHBwgLu7O6qqquDn54eDBw9i5syZOHv2LOzs7FBaWooTJ06gR48eiIuLw2OPPQYAuHjxIt566y1kZ2fDzs4OI0eOxEsvvYT77rtP5D2jtuIxTtrHOFs6vgESO8YJZFSXLl0ShgwZInz11VeCIAhCRUWFMHXqVGH+/PnN2t66dUt4/PHHhTVr1giCIAjJycnCY489Jpw5c0aor68XkpKShDFjxgj19fVm3QdDVFRUCH5+fsL69euF2tpaITc3V/D19RUiIiKEw4cPC0OGDBEOHz4s1NbWCps3bxYGDhwoJCcnC4IgCC+99JIwePBg4dtvvxXq6uqEjz/+WHjooYeEX375ReS9ursLFy4Inp6eQkREhFBeXi78+uuvwuTJk4X58+cLycnJgqenp/DBBx8ItbW1wn/+8x9h8ODBwpEjRwRBEISIiAjhmWeeEX799Vfh1q1bwptvvimMHTtWqKqqEnmvWjdu3Dhh+/btwvfffy94enoKKSkpQm1trVBVVSW89NJLwqBBg4Q9e/YIdXV1QmZmpjB48GChuLhYqK2tFR5//HFh3rx5wvXr14XKykph3rx5wl//+lehrq5O7N2iNuAxTvrHOFs7vgmCdI5xPKfOyLp06YI9e/Zg/PjxqK6uxi+//AJXV1dcvnxZp111dTVUKhUUCgVmzJgBAMjMzER0dDQGDBgAuVyOf/zjH/jnP/8JwYI7U7/55hs4OzsjJiYGDg4OGDp0KEJCQgAAO3fuxOOPP47Ro0fDwcEB06dPb/aJfMSIEfD394e9vT1CQkKg0WhQUlIixq60yaJFi9ClSxd069YNs2fPxueff47a2loMHDgQzz77LBwcHBAQEIDAwEDs3LkTFy5cwNGjR/Hyyy+jW7duUCgUmD9/Purr63Hw4EGxd0dvoaGhcHBwwD333AMAePTRR/Hkk0/C3t4ewcHBGDJkCPbu3Yvc3FxcuHABy5cvx7333otOnTph+fLlKCoqQmFhoch7QW3BY5ztHONs9fgGWO8xjqHOyBwcHPDZZ59hzJgx+POf/4x33nkH5eXlOgets2fPYsqUKaivr8eHH36o/aW5cuUKevbsqW3n6OgIb29v2Ntb7qmPly9fRo8ePSCTybTL+vbtCwAoLy/X2R8AeOCBB3Qed+vWTfu9g4MDAFjVSdXu7u7a73v06IHa2lpUVlY2G2ro0aMHrly5gqtXrwIA+vTpo31OLpejR48euHjxollqNobbhxVa29/y8nK4urpqf8cB4J577oGLi4tV7S/9D49xtnOMs9XjG2C9xziGOiPbt28f0tPTkZaWhoMHD2Ljxo14+OGHtc8fPHgQkydPxiOPPILU1FR07txZ+1yPHj1w6dIl7eO6ujq88cYb+PXXX826D4a4//77cfHiRZ2DVONl4X369MGFCxd02kvhkvGmmvZOlJaWwtnZucVei9LSUvTo0QO9evUCAJ1P6hqNBmVlZToHf0vX9A8cgDvu77Vr11BdXa19rqqqCteuXbOq/aX/4THOdo5xtnp8A6z3GMdQZ2RVVVWws7ODQqGAIAg4dOgQ/v3vf6Ourg4//PADVCoVFi1ahJdeeqnZp9OnnnoKqamp+O9//4v6+nqsX78eX375JVxdXUXam7sbP348BEHAmjVrUFtbi8LCQmzduhUAEBYWhgMHDuDrr79GfX09du7ciWPHjolcsXGtXr0a1dXVuHz5MpKTkxEUFAR7e3v88MMP2LlzJzQaDQ4ePIivvvoKISEhuO+++zB27FisWLECV65cgVqtxttvvw2NRoNx48aJvTutcnR0RFVVVavPf/HFFzhy5Ajq6+uxbds2nD59Gn/5y1+gVCoxYMAAvPrqq6iqqkJVVRWWLVuGvn37wtfX14x7QMbCY5ztHONs5fgGSOcYx1BnZH/9618xevRo/PnPf8bIkSOxdu1aTJ8+Hf/973/x7rvvor6+HvHx8fDx8dF+RUdHAwCio6MxceJEREVFYcSIEcjNzcXGjRu1XfaWqFOnTkhNTcV3332H4cOHY8mSJQgMDAQADBo0CGvWrEFSUhJGjRqFr776SucTvRT07dsXf/nLXzBp0iT4+Phg8eLFAICHHnoIX331FUaOHIk333wTb731Fnx8fAAAq1atQp8+fbS/K6dOncK//vUvuLi4iLgndxYaGorExES8+OKLLT7v5+eHjRs3Yvjw4fjoo4+wYcMG9OnTB/b29li/fj3q6+sRGBiIcePGoa6uDps2bbLoITdqHY9xtnOMs5XjGyCdYxynNCGzmjZtGoYPH45Zs2aJXUq7NF7y/9VXX6F37946z61ZswZHjx5FWlqaSNWZ18KFCwEAb775psiVEIlPCsc4Ht90WdMxjj11RERERBLAUEdEREQkARx+JSIiIpIA9tQRERERSQBDHREREZEEMNQRERERSQBDHREREZEEMNSRTdNoNM1u80NEJAU8vtkehjqyODt27MD48eNNsu6ysjL4+PigrKwMABAbG4t///vfAH6fcHPgwIEoLS01ybaJiHh8I1PifXrIpvTs2RP5+fnax9euXROxGiIi4+HxjRjqSDRff/01NmzYgPPnz+PmzZtQKpVYsWJFs3ZHjhzBqlWrUFJSAk9PTwwdOhQnTpzQ3qZm69at2Lx5My5duoRevXohJiYGkyZNAvD7LXt69eqF7OxsCIKA9evXY9KkSfjqq6+wdu1a5ObmIj8/HydPnsTSpUsBALt378auXbtw6dIleHt7Y+XKlejevTt27NiBbdu24f/+7/+wfft22NnZQaVSwcnJCWvXrsX169fx5z//Ga+99pr5fohEZJF4fCNRCEQiuHTpkjBkyBDhq6++EgRBECoqKoSpU6cK8+fPF7Zv3y6MGzdOEARBuHDhgqBUKoVPPvlEqKurE3JycoShQ4cKERERgiAIwvbt2wVfX1/hyJEjQn19vXDkyBHB19dX2L9/vyAIghARESE88sgjwi+//CJUVlYKFy5cEDw9PYULFy5on09OTtZuy9PTU1CpVML169eF3377TQgODhZefvll7bY8PT2FTZs2CRqNRsjIyBAeeughYd68ecLNmzeFEydOCA899JBw9OhRs/4siciy8PhGYuE5dSSKLl26YM+ePRg/fjyqq6vxyy+/wNXVFZcvX9Zpt3v3bjz00EMICwuDvb09/Pz88PTTT2uf3759O8LCwjBq1CjI5XKMGjUKYWFh+OSTT7RtxowZg+7du6NTp0561fb3v/8d9957Lzp37oxHHnkEJSUl2uc6dOiA6dOnw87ODgEBAdBoNIiKioKzszOUSiXuu+8+XLx4sZ0/HSKyZjy+kVg4/EqicHBwwGeffYZPPvkEMpkMnp6eqK6uhr297q9k45BDU3369EFBQQEA4OrVq+jTp4/O871798bXX3+tfXzfffcZVJuLi4tOnRqNRuc5mUwGALCz+/0zUdODqZ2dHRoaGgzaHhFJC49vJBb21JEo9u3bh/T0dKSlpeHgwYPYuHEjHn744WbtevXqpb2Sq1HTx71799b5pAkAFy5cQLdu3bSPGw9SxmDMdRGRNPH4RmJhqCNRVFVVwc7ODgqFAoIg4NChQ/j3v/+Nuro6nXZBQUH46aef8O9//xsajQbHjx/Hli1btM+Hhobi008/xXfffQeNRoPvv/8en376KUJCQvSqw9HREVVVVUbdNyKybTy+kVg4/Eqi+Otf/4q8vDz8+c9/hlwux4MPPojp06cjIyND58B3//33Izk5GatWrcLy5cvx0EMPISAgQHup/hNPPIHq6mqsWLECZWVl6N69OxYsWIDg4GC96ggODsayZctQWFiIVatWmWJXicjG8PhGYpEJgiCIXQRRay5duoRr167pDF28+eabuHLlClavXi1iZURE7cPjGxkbh1/Jol27dg1Tp05FYWEhAKCoqAi7du3CuHHjRK6MiKh9eHwjY2NPHVm8rVu3YuPGjbhy5Qrc3NwQHh6OGTNmiF0WEVG78fhGxsRQR0RERCQBHH4lIiIikgCGOiIiIiIJYKgjIiIikgCGOiIiIiIJYKgjIiIikgCGOiIiIiIJYKgjIiIikgCGOiIiIiIJYKgjIiIikoD/D9WOBI7UI2ESAAAAAElFTkSuQmCC"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax =plt.subplots(1,2)\n",
    "sns.boxplot(x='algorithm', y='speed', data=full_data, ax=ax[0])\n",
    "sns.boxplot(x='algorithm', y='timeLoss', data=full_data, ax=ax[1])\n",
    "fig.tight_layout()\n",
    "plt.savefig('graphs/safe_rl_report/performance_per_algorithm.png')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:01.876785Z",
     "start_time": "2024-03-01T04:56:01.698797Z"
    }
   },
   "id": "e1cb27847854d63b",
   "execution_count": 19
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "value_of_interest = 'speed'\n",
    "melt = pd.melt(a2c_trpo_speed_data[['algorithm', 'speed_limit', value_of_interest]], id_vars=['algorithm', 'speed_limit'])\n",
    "melt.rename(columns={'value': value_of_interest}, inplace=True)\n",
    "sns.boxplot(x='speed_limit', y=value_of_interest, hue='algorithm', data=melt)\n",
    "plt.savefig('graphs/safe_rl_report/speed_over_speed_limit.png')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:02.015959Z",
     "start_time": "2024-03-01T04:56:01.879097Z"
    }
   },
   "id": "9aab8a8357997689",
   "execution_count": 20
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='shield_distance', y='speed', data=a2c_data_shield)\n",
    "plt.savefig('graphs/safe_rl_report/speed_over_shield.png')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:02.161878Z",
     "start_time": "2024-03-01T04:56:02.015729Z"
    }
   },
   "id": "baf6e18e890b36c9",
   "execution_count": 21
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='shield_distance', y='rear_end_collisions', data=a2c_data_shield)\n",
    "plt.savefig('graphs/safe_rl_report/rear_end_over_shield.png')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:02.283095Z",
     "start_time": "2024-03-01T04:56:02.164006Z"
    }
   },
   "id": "551da913491b0701",
   "execution_count": 22
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-01T04:56:02.285866Z",
     "start_time": "2024-03-01T04:56:02.281967Z"
    }
   },
   "id": "6d1913d194b4f6cb",
   "execution_count": 22
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