SED-MME-eval.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-22T19:47:12.510896Z",
     "start_time": "2021-09-22T19:47:11.692171Z"
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import itertools\n",
    "import os\n",
    "import pandas as pd\n",
    "import math\n",
    "import mme_eval.multi_eval\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import itertools\n",
    "from matplotlib.pylab import plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Artificially Generated Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-22T19:47:15.733139Z",
     "start_time": "2021-09-22T19:47:13.842684Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "============== class=Test=========file=Test\n"
     ]
    },
    {
     "data": {
      "image/png": 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5M3H8X7z5YS/W7PmaYR/24oUnx3pcVkAP6pRSNqAVMNMb5cWUKMKxQ6czXh8/coaYksaPtMOjI7h48nzG64snzxMebY3T9NmRlJRM364f0OWhprTvfIf7PzDInmxn+mu/UPOuOlRtXjPLf1ewUH4aNavFor/WZzuGPOF5KdOgPHtX7jL8t2tWbGfeH2u4vUpf+j82kuWLNjOg5+hsx5Tu8KYD7F66nXFdRjLz9SkcWLuPWcOmeq18IGM8RBUtRLt7b2PDGuN5SBdeNPUSuvxFClClWQ2ObfXe2eyYkpHElIrMODvb4b5GbF6/12vlhxeNIDw6IuOMbbUWNTmx0/j9WekW/rmO2vUqEF2sULbi2rNiF8Wqxlx3KYqvLftnI6XLFSMyuiBhYaHc3fl21q7w7P5VR/av2UOhmMLkK5wfW6iNKs1qcGSzZ/e0dnu8NXNXjmTagncpWLiAx9/W1u10C49/9zSPft6bPOF5KVLGN9/IRhUtxIlj8QCcOBZPZHT27gO6Uf4i+bl0+iIAl05fJH9h712iLLJvysR/mD8njs++H+STA/pNf6xj9/KddHrrP14rv8tDTZk7fUWWl69xV112LHJ++fL+vcc5tP8EbRsO4vYqfTl2+Aztbh/MyeNnDcV19nA854+d5ZvHxjKuy0gunrrAdz0/59KZi4bKcSW6WCFsNhshISE83Ktttj4ffS1/kQKE2EJQISHUvTeWY9sCezVZ8ZJR3N35dpRS1G9YhZAQRfxp55cEh0dHULV5DZRSlKhZChWiSDh3xWUdycl25s5Y6dOz3inJdnYs2prtM99G/PrjQtqn3SN4z/2N2BDn+XoXqIO6vEqpDcBxoBjw940LKKX6KqXilFJxZ1ysGJnVja3Mvt3HOLjvBImJScyYsow29xi/JCymekniD53h3NGz2JOS2Tp/M5XudP3UPavTWvPCk2OpVK0UfZ+71/0feFD+nHenE1k2mlu7uR+QZ06d5/y51EuJEhKusXTBRip5eM/HlbOXuZp2uWTS1ST2r9nj0T0Zr77zGHF7v2blzvGM/WEwjZvX5tPvBnkUkyPN+7Wl/8wX6Td9MJ2GP0jZW8rTcdgDXiv/yuWrGZeNXrl8lSXzN1C1pvunPTqSmJDItcvXMn7ev2o30RWKeS3WosULU6JUFHt2pD7tatnCTVSu7r2H0xSIDCeiWEHOHDgFwP64vR49KCXdjCnLuLdr9r893Pb3Jmr48RtCgBKlo1m/aicJV66htWbZwk1efRBQRPGCHP33EElXE9FacyAbuU6/fPHIwVPM/X0lnR9q6voPnLgcfwmA88fPsWPRVp/cOwHQ5p6GTP1xIQBTf1xI2463erX8Sk2qsXlO6pddm+esp/Kd1b1avvDcwr/W8fnI6Xw77TXypt3T7U17V+xi1Y/L+M8HjxDm4ZNqM8radTTj579mraZiVdfjPz7Tg4V2Ld1OZNkop8tWr1WWjYe/Z+XO8azcOZ6YUpH8uXIkRYsXNhRj0UrFGTjnFfpNH0y/6YMJj46g53dPUyDSe1+4p38BA/DnjJVUrWmeh/HcKP3LHICdi7YRXcG30365067TrfxvceoDsPbuPEJiUjJFXNw7XaVpdQ6s3QdA/MHT2JPs5C3k+uqwpQs2UrFqSUqUcr6+Zdf+NXuJLBtNRFHvfgHnSrGYwqxYknrV1PKFmylfyfPLiwN6T51SKh/wF6n31F337Fut9XhgPEDdWyq5PycLhIbaGP5xHx655y1S7Cl07dmKqjWM77SGhNpoO/geJj/3PTolhTr3NPB4h7X/YyNZseRf4k9fILZCbwa//lDGwx+MmPHGFA6u20fCuSuM7fQhTXq3pG4n7z2Zac3/tjFt0iKq1SpL24apBypZeZxvVh3edJB//9xIdMVifNM99dSyq0fwnjh+lkFPpD6JT6ekcM9/GtO6g2f3bF06c5HZb09Dp2i01lRrWYtKTap63BarOnXiHL0fHAGknjXt/NCdtLirgUdlXYm/xLRXfgJA21Oo0bYOFe5wfv28J4aP7sOAnqNJTEymbPlijPzq5qk8sqPN8x2YNexX7El2CpUsTIch93lUzpXLV1myYAPvj30qW/EkJiSyb/Ue7nrZ+1+quNLg1iq0v+8O2t02mNDQEGrWq8Aj2bjX8kYlapamaouafNvjc0JCQyhWJYZ693r2IKC+D33A2TMXCQ0L5d1P+nr88Jzpr/1CwvkrhISG0PaFe7L9kBxwvK1/5sX7eOrhj/jl2wWUKhPN5z+94HH5jj4D7ujelN+HTGbTrLVEFC9E53e6ehRnoSIFeH3Q18SfOk+Pzu9Qs055Jv3xpsexeoujNueJyMv8UX9w5dxlpg7+gWJVYuj6cY+Axukop599MI3ExCS6tR8GpI6z98d69pRgR3lYMXEJ9qRkfnn2OyB1nLV7uZNHsf7z51r27jyCCgmhVJlo3vvs/7dljures2In8QdPo5Qiongh2r3UyWX5ZtzncRTniiVb+HfjPpRSlC5bNNvbdG9xlIuD6/dxcucxUIqCMYVo58fPDUe569qzFYP7fkar+gMJyxXGx18PzDh77Cj+Oh0bMOfd6Xz9yKfYQm10eP3+jOWdrUMzpy6js5cuvXS2fm2d79t72h217YPP+/Hm4AkkJ6eQO08YI8b187h8lZVrWL1NKXVJa10g7ef6wO9ARa11sqPl695SSXvj8euuGJ3nwhtzQ7litng84es2+Hp+GLPF4wmztcFs48YTOS2nRplx22XGmIwwY/xm3N75UjDk1Nfbrpy4bZRx4J7V1yOjfL3elcrdZa3W2uE3owF/UIrWej2wCcjeXbRCCCGEEEIIkQMF5PLL9LN0mV53dLl8cjJJZ+JdLXKT+N27DS2ffPGqoeVPrDI2/12RSsYevZ0cb6y9vs6P0fgBTq42lqOkssYeemC0fKNtMJpTo31mtA/A+m0w2sdGyz+53tg3dp6s12bL6Ykk1zeX38hom33dB0bjB+NtMLqtsHpOjY4zMN9Y8/VnlNnGGZhvW+HrsezrdcjothpkHLjjyfba6uuRr3NU7Dbv3Wsd8DN1QgghhBBCCCE8Jwd1QgghhBBCCGFhclAnhBBCCCGEEBYmB3VCCCGEEEIIYWFyUCeEEEIIIYQQFhaoeerswGZSn765DeihtXb6uJgGNWvqpb/8YqiOzT/9ZGj52g8/bKryfc0f8UsfuGY0frB+G3zdx0aZLZ9gvjb7Oh5PmK0NVo8HzBeTbFvcM+PY9KVgyGlOGwdmZLYc3f7ee4aWV0o5nacuIFMaAAla63oASqlJwFPAKCMF/L1sGS+NGIE9JYUe993H4CeecLn8ir17+Xj+fOwpKXSqW5fud9zhcvmn33iDuYsXE12kCGumT3cbzzt//MH/9uyhcL58TOrd20hTsuTw8eP0GTKEk2fOoJTi8fvvp/+jj3qt/BMXLvD27NnEX76MUop769ala8OGTpe/eu0adz3+ONcSE0m22+ncujVD+/d3uvy15GSenjSJpORk7FrTompV+tx5p9u47HY7d3brRomiRfn1s8/cL5+SwuPffUd0eDgjH3jA7fJG1WjXjgL58mGz2Qi12TD6ZYM7XcaNI1/u3NiUwhYSwrc9e3q1/HMXLtB/2DC27t6NUorP336b2+rW9WodF69e5b25c9lz6hRKKYa0b0/tkiUdLrtz3z56vPRSxuv9hw8ztF8/+j/2mKE6D5w5w+szZmS8PnLuHH3uvJOHXKzD3vLZDz/w3W+/oYCalSvzxfDh5Mmd2+f1/rx6NbM2bUIBFaOjGdKhA7lDPdukj/3xR76bNg0NPH7ffYbz787kNWuYuXEjGuhUt65X+sXRNjr+/Hl6vPgiB48epUyJEkz86CMKR0S4LMfRtvt8QgKvz5jBsfPniSlYkHc6dyYiTx7D8fw2bx7//fxzduzdy+KffqJBzZpu2+UongXbtzNh2TL2nz7NhB49qB4T41F+howcyZzFi8kVFkb50qX54u23KeRBfj795x+W7d5NmM1GyUKFGNqhA+Fu8uMsprc/+4w/Fi4kJCSE6CJF+HL4cGKKFnVa95dLlrB01y5ClKJwvnwM7dCB6PBwp+WnG/P997w2ciT7Fy8mqnBhw21O99OqVXy6cCFzBw6kUL58btuc1Ty8O24c3/32W0ZswwYO5K4sfEb6mqNcfL10KTM2bqRwWvufataMRhUrBjJMp33/+U8/Mf6XX7DZbLS7807eef55j+twtl5MjYvj13XrsIWE0KhiRZ5p0cJwrN1ffJFd+/cDcP7iRQqGh7Ni6lSn9Q79/XcOpk2BcfHqVcLz5GFir15Oy9+0fTvPDh/O1cREQm02Rg8ZQmzt2h7nwghH8e88cYIP/vqLxORkbCEhvNC2LTVLGJ+KxVOOcrR5xw6eHT6cS1euULZECSa8/z4RBQq4LMdR23alte1KUhIxERG81akT+f2wTwDmuPxyKWBo0gi73c7z//0vv33+OXG//87UuXPZtmeP8+VTUhg5bx6jHnyQn/v04e+tW9l3+rTLOh7p1InfP/88yzF1qF2b0Q8+mOXljQq12Xhv8GDW/v47C3/8ka8mT3bZZqNsISEMbNmSn/v04avHHmPaunUuc5Q7Vy7++PprVv76KyumTGH+8uWs3rjR6fK5bDY+69aNH554gomPP87KvXvZcuSI27jGTZpE1fLls9yOKXFxlIuKyvLynpgzYQIrpk71+gFdurHdujGxVy+vH9ABvDRiBG0aN2b9zJms/PVXQ7nNqtHz53N7hQpM7tuXH3r1olxkpNNlq5Qvz4qpU1kxdSrLfvmFvHny0LFVK8N1lo2MZGKvXhl5yxMWRrMqVbLTjCw5euIEn0+axNKff2bN9OnYU1L49c8/fV7vyYsXmbp2Ld/06MGk3r2xa838rVs9KuvfXbv4bto0Fv/0EyunTmXukiXsOXjQa7HuOXWKmRs3MqFHDyb26sXy3bs5dPZstst1tI0eNWECzW+7jY2zZ9P8ttsYNWGC23Icbbt/WLmS2LJlmfrkk8SWLcsPK1Z4FE+NSpX4adQoGt9ySxZa5DyeilFRvNelC/VKl85yOY7iaXnHHaz57TdWTZtG5bJlGelhfm4tX55JvXvz4xNPUKZIESZmIT/OYnquZ09WTZvGiqlTade0Ke99+aXLuh+97TZ+fOIJJvbqReNKlfhm+XKX5UPql6ILVqygdBYOhp3VC6lffq7ev5/ibg6E3XEW5zOPPpqxPTTDAR04z8VDDRtmbHMDfUAHjnO6ePVq/li4kJW//krc9OkM7NEjW3U4ysXaAwdYsmsXP/TqxU+9e/Pwre7nHHMU68QPP8zo+3tbt6ZTps9BR/W+07lzRv5bVK163eedo/KHjh7Nq089xYqpUxnavz9DR4/Ocruzy1H8Yxcu5InGjZnYqxd97ryTsQsX+i0ecJyj/sOG8dZzz7H6t9/o2KoVH3/3ndtyHLXtvblzebp5cyY98QTNqlThx1WrvBm6SwE9qFNKhQJ3k3opZpbFbdlChTJlKF+qFLnCwvhPu3b84WKF2HrsGKUKF6ZkoUKE2Wy0rlGDJbt2uayjSWwshQsWzHJM9cuUcftNbnYUj46mXo0aAITnz0/V8uU5dvKk18qPKlCAqsWLA5A/d27KRUZy6uJFp8srpSiQ9i1dUnIyScnJKKVcLp8vVy4AklNSSE5Jcbk8wJHjx/lzyRJ63Hdfltpw8sIFlu/ZQ6c6dbK0fE5z/uJFlq9dm5HPXGFhbr+lN+rS1atsOHSIjml9EGazZekbfIBFq1ZRoXRpymTz27q4AwcoWagQMQbGb3Yk2+0kXLtGcnIyCVevEhMd7Zd67SkpXEtOJjklhatJSUSlna0wase+fTSsU4d8efMSGhpKk9hYZs6f77U49585Q40SJcgTFkZoSAj1y5Rh8Y4d2S7X0Tb6j4ULeaRTJyD1Q3v2P/+4LcfRtnvprl20T/sWu33t2m4/L5zFU61CBaoY/OLEUTzloqIo6+LLkazG06pRI0LTzuY2rFOHIydOeBTPbeXLExqSuvtQs0QJTrr4rHAXU+Zvwq8kJJD5U8FR3Zm/8U5ISrruc8TZ5/bLH3zAO4MGuf3McVUvwCcLFtC/efMsleGK0f2LQPL1vo23OMrp11OmMPiJJ8idtu9R1OAYupGjXPy2fj2P3XEHudLGVZH8+T2KNZ3Wmt/++osH7r7bZb2Zl1+wfTtt0/YPnZWvlOLC5ctA6r6Avz6nwHH8SikuJyYCcOnaNY8/vzzlKEe7DxygSdoXcC3vuIMZWfgcdNS2g2fPUj/tC7hby5dnkRc+77IqUJdf5lVKbUj7eSlw09eFSqm+QF/gpm/Xjp44QalixTJelyxWjDWbnR8Xnrp4kaKZVpii4eH8e/So59EH2IEjR9i4fbvPTp0fO3eOnSdPuj0VbrfbafLQQ+w9eJC+Dz1EQzcHU+mXRh4+e5b7GzRwW/5LH3zAO88/z8W0DZE7Hy9YwDMtWnDl2rUsLe8JBdz75JMopej1wAP0+s9/vFu+Ujw7eTIK6Fy/Pp3r1fNa2QeOHCGqSBGeev11Nu/cSf3q1fng5ZfJ7+ElRI4cPX+eQvny8c4ff7Dr5EmqFS/OoNatyZv2oerKr3/+yX8yfZB56u+tW2mT6QPOl0oUK8bAHj2o3rYtefLkodUdd9CqUSOf11s0PJyHb72VLuPGkTs0lFvLl+c2D8+61qhUibc//ZQz586RN3du5i1dSv0sXCaYVRWjovhy8WLOJySQOzSUFXv2UC3tCyRvOxkfT/G0nZViUVGcTLs8yaj4y5eJSjvYiMyfn/gsboOs5Ifp07m/XbtslzN70yZaV6+erTKGjRnDz7NmEVGgAHOycPbwi8WLmbtlCwVy5+YzN/fHzF64kBJFi1K7atVsxbhk506iCxSgcqZ9D2/78pdf+GnWLBrUrMl/X3jB7aXDgfTr2rXM3bKFasWLM7BVK1Me+O0+cIDla9fy1pgx5M6dm/8OHswttWp5tY5D8fFsPHSILxcvJldoKANatqRGFs8IO7J87VqKRkZSqWzZLC2/4dAhiuTPT+kiRVwuN+Kll+j81FMMGTmSFK1ZMHGixzF6w3OtWvHclCl8+s8/pGjNeC9f8u+J6hUrMnvhQjq2bMn0efM4cvy4R+WUj4piya5dNKtShX+2b8/yl17eEKgzdQla63pp/wZorRNvXEBrPV5rHau1jnV3/XtOcunKFR55/nlGvPSS22t9PXElMZFXp0/nuVat3F4DbLPZWDF1Kjv+/pu4LVv418232baQECb26sWM/v3ZeuwYe06dcrps+rXO9bO4c75s924K58vns53FdH9//z3Lp0zht3HjGP/LLyyLi/Nq+V88+ijfP/44ox58kGlr17Lei5fBJdvtbNi2jd4PPsj/pkwhX968jPzmG6+VD6kH7juPH+e+Bg2Y2KsXecPCmLhypdu/S0xK4o9Fi+jStm226k+y21m2ezetqlXLVjlZdfbCBf5YuJAtc+eye/58riQk8Mvs2T6v98LVqyzdtYtpTz/NrGee4WpSEn9u2eJRWdUqVGDQ449z75NP0vnpp6ldtSq2EO99NJSLiuLR22/n2V9+YdDkyVQuVowQL5bvjFKKrJ2X8U85ZvLB+PHYQkPp2qFDtsr57n//wxYSwl3Z/BJg2MCB7Pj7b7p26MCXP//sdvmnmjVjRv/+tK1Zk1/XrnW63JWEBD766iuX93tnxdWkJL5fsSJL94F7qnfXrmz+4w9WTJ1KsagoXvvoI5/VlV33NWjAr089xcRevYgqUIAxCxYEOiSHkpOTOXvhAgsnTeLd55+n+wsv4O2HA9pTUriQkMDX3bvzTIsWDP3992zVMXXu3OvO0rnz97ZttMnClypfT5nC+y++yI6//+b9F1+k35tvehyjN/y2fj3PtmzJjP79ebZVK/47Z05A4wEY9/bbfDV5Mk26duXi5cvkCgvzqJwh7dvz27p19Pz2W64kJmZc1eAPZrinzrASxYpxONNlI0dOnKBE2o3VjkSHh193pHzy4sWMG6utJCkpiUeef56uHTpwb+vWXi8/2W7ntenTuatmTZob+FazUEQETRs2ZH6mextcCc+ThwZlyrBy716ny6zcsIE5ixZRo107er70EotXr+aJV191uvymw4dZuns3XcaN4/WZM1l74ADDZs3KchuyqkTat7RFIyPp2LIlaz3ckXYm/Yxykfz5aValCluPHfNa2SWLFaNksWIZZ1Q7t2nDxm3bvFY+pMYfHR6ecRa2RbVq7MzCJV7zli2jXvXqFMvm5TEr9uyharFiWboExhsWrlxJuVKliC5ShLCwMDq1asXKDRt8Xu+a/fuJKVSIwvnyEWqz0axKFTZn4R5VZ3rcdx/LJk9m3nffUTgiIsvfEmdVp7p1+e7xx/n80UcJz5OHMm6+VfZU0SJFOJ72ZdHxU6eI9rCeIvnzc/rSJQBOX7pEYT+tT/7w44wZ/LlkCd+8916WL0d05I9Nm1i+ezdvdeqUrXIy69qhQ5YueUp3V40aLi9t2nvoEPuPHOGOBx6gRrt2HDlxgiZdu3LCzT31Nzp89izHzp/nsW++ocu4cZy6eJGe333HmbR1xBuKRUZis9kICQnh8fvvJ87F1UeBViR/fmwhIYSkPVRtmxc/p7ypZLFidGrVCqUUsbVrExISwmkv3M+bWXR4OM2rVkUpRc0SJQhRinMJCR6VlZyczMwFC7j/rruytnxKCot27MjSmfKfZs7M2G+8r21br++7GDVny5aM/cxW1ap5dV/HU1XLl2fml1+ybPJkHrj7bsobuIc5s3KRkXzy0EN89/jjtKlRg5J+PDFlyYO6W2rWZM+BA+w/fJjEpCR+/fNP2ru4zr16TAyH4uM5eu4cSXY787du5c5Khp7NEnBaa/q9+SZVy5dnQPfuPin/3TlzKBsZSbcs3Oh7Kj6ecxcuAJBw9Sr/rFjh8t6Rs1eucPHqVSD1W881+/e7vEfkrWefZef8+Wz980++++ADmt16KxNcPPa1X/PmzOzfn+n9+jG8UyduKVuWYR07um2HEZevXMm4FPTylSv8s2IFNby4HiUkJnI57dLRhMREVu3fTwUvXvdeLCqKksWKsXPfPiD1HrZqFSp4rXyAyAIFKBYRwYEzZwCI27/f5YNS0hn9dtKZv7dt89ullwClixdn9aZNXElIQGvNolWrqOrlnDpSPCKCf48e5WpSElpr4g4cyFKenTmZ1l+Hjh1jxoIFPNi+vbdCBci4fPH4+fMs2rHjuvs/vKl98+ZMmjkTgEkzZ9LBzVPonGlSqRJz0naq52zezJ2VK3stxkD6e9kyRn/7LZPHjCFf3rwel7Ni715+XLWKD/7zH/J4+G12ut0HDmT8PHvhQrf3IB7KdEnt0l27XH6O1KpShf2LF7P1zz/Z+ueflCxWjGWTJ1PM4MO0KhUtypyBA5nerx/T+/UjOjyc73r2JNKLV8scz3Tlyqx//qGGide505kOZhft3OnVzylvuqdlS5asWQPArv37SUxKcvvkU6OaVqnC2rR1+GB8PEl2O4U8HFsLV66kSvnylMziFUfp+1FFs3CZbvHoaJamXVm0aNUqKpYp41GM3hJVoEDGlUhxBw5Q2gRX5KV/DqakpPDB+PE84eET1NM/71K05tvly+nixdto3AnIPXVa62xtCUNDQxn52mt0fvpp7HY7j3Xu7HLnOjQkhMFt2/Lc5MmkaM09deq43Qj1fOkllsbFcebcOaq0bs2Qfv1cPrDjjRkzWHfwIOcSEug0diy9mzShkxcfFb9i/Xp+nj2bmpUrc0faiubNRx5vOnyYP//9l4rR0XRPuyTP1WOKT5w+Td+hQ7Hb7aSkpHDfXXdxd7NmTss/c+kSb8+eTYrWaK1pWa0aTSx2YH0yPp5uzz0HpJ7VfPDuu2nTpInXyo+/coVXpk0DwK41bWvU4A4vHyCMfPVVnnj1VRKTkihfqhSfDx/u1fIBnm/ThmGzZpFkt1OyUCGGuLnE6/KVKyxcsYIxr7+erXoTEhNZvW8fL2fxW05vaFinDp1bt6Zx166E2mzUrV7d6/dZOlKzRAlaVK1Kj2+/JTQkhCrFinFvNj44Hnn+eeLPnycsNJRRr73m9QfovDZ9OucTEghNe3R1Vh+e44qjbfTzTzxB9xdeYOL06ZSOiWFiFi5hc7Tt7n7HHQz5/XdmbdpE8YgI3unc2aN4ChcsyAvvvcfps2e5v39/6lSrxowvvjAcT0SePIyaP59zV64weOpUqhQrxsdduxqOZ+SECVxLTKTTk08Cqeuvu3HnKJ6JK1aQZLfzbNoTgGuWKMHLWbg/z1FMfy1dyq79+wkJCaFMTAyfZIrHUd0r9uzhYHw8SimKR0TwUqZ6jX5uG2mzNz/PHcW5NC6OTdu3o5SibIkSjHnjDa/Vlx2OcrH+4EF2njyJAmIKFsxS3/uao5x279KFp994g4ZdupArLIwv33knW2eVHeWiY506vDtnDo98/TWhNhuvd+jgtg5n6+mvf/7p8MtNZ+vjfCf3jzsq/7M33+SlESNIttvJkysXn/rx8ktH8b/arh2j06YZyxUayite+FLXCEc5unTlCl9NngxAp1ateCwL231HbUtITGTaunUANK9alXv8+PC+gEw+bpRMPu59Mvl44Mnk494v3yiz5RPM12YzTk5rtjZYPR4wX0yybXHPjGPTl4IhpzltHJiR2XLkzcnHLXn5pRBCCCGEEEKIVJY4U6eUugj4eqKHgsB5KT9g5QNEAcbuYDcmGHJk9TZYvY/9UYfVy/d1H4P1c2T18sH6Y9nq5fujDunjwNdh9T4G6+fIbOWX1Vo7vodMp93jZOZ/QJwf6hgv5QeufH/0c5DkyNJtsHofB0kfWLqPgyRHli7fH/1s9RwFybZI+jjI2yDb6+AqXy6//H/ef/69lG82wZCjYGiDL0kfBL58f7B6jqxevj9YPUfBsC3yNemDwJfvD1bPkWXKt8rll3HayU2BInhIPwc/6ePgJ32cM0g/Bz/p4+AnfRxcrHKmbnygAxB+If0c/KSPg5/0cc4g/Rz8pI+Dn/RxELHEmbqoqChdrly5QIchDDpz8aSh5SPDi/q0fKPMFo8nzNYGo/EY5Y8+yGk5NcrX494TZozJCDPGb8btnS8FQ059ve3KidtGGQfuWX09MsrX693atWtPaycPSgnI5ONGlStXjri4uECHIQya+M9YQ8t3b9nfp+UbZbZ4PGG2NhiNxyh/9EFOy6lRvh73njBjTEaYMX4zbu98KRhy6uttV07cNso4cM/q65FRvl7vlFIHnP3OEgd1Ijh8/eGPbFi5hYhC4fx3wpCgr9coq8QJ1orVETPGb8aYvMGM7TJjTEZYPX5P5MQ2O5PTPkul7/9fMOTCbG0wWzzZ4bN76pRSkUqpDWn/jiuljmR6rdP+36KUmqqUyuerOIR5NLnrdl54z//fgAeqXqOsEidYK1ZHzBi/GWPyBjO2y4wxGWH1+D2RE9vsTE77LJW+/3/BkAuztcFs8WSHzw7qtNZntNb1tNb1gC+A0ZleX077uRaQCDzlqziEeVSrU4n8Ef4/fg9UvUZZJU6wVqyOmDF+M8bkDWZslxljMsLq8XsiJ7bZmZz2WSp9//+CIRdma4PZ4skOMzz9cilQKdBBCCGEEEIIIYQVBfSgTikVCtwNbHbwu75KqTilVNypU6f8H5wQQgghhBBCWECgDuryKqU2AHHAQWDCjQtorcdrrWO11rHR0Q6f3CmEEEIIIYQQOV6gnn6ZkHZvnRBCCCGEEEKIbJApDYTfjHvnW7Zv3MWl85d4rutQuvRoT7P2jYK2XqOsEidYK1ZHzBi/GWPyBjO2y4wxGWH1+D2RE9vsTE77LJW+/3/BkAuztcFs8WSH0lr7vhKlhgGXtNYfpb2+pLUukNW/j42N1b6efPzgrumGli9TuYuPIklltniEEEIIIYQQgaOUWqu1jnX0O7+cqdNaD7vhdZYP6ALlhVc/45+FcURGFuTvPz4JdDimi0cIIYQQQghhDr6cfNyeabLxDUqpckqp5mkTj3fMtNxspVRzX8XhqQfua8H3E14PdBgZzBaPEEIIIYQQwhyyfFCnlIpWShl5DGVC+mTjaf/2p71/GBhiJMhAuK1hTQoVDA90GBnMFo8QQgghhBDCHFwe1KlUw5RSp4EdwE6l1Cml1BvZqHMjcF4p1SYbZQghhBBCCCGEwP2ZukFAY6Ch1rqI1rowcBvQWCk1yM3f5s106eWNT/14Fxjq6o9l8nEhhBBCCCGEcM/dQd1jQDet9b70N7TWe4FHge5u/jbz5ZfXPZpRa70EQCnVxNkfy+TjQgghhBBCCOGeu4O6MK316Rvf1FqfAsKyWbfbs3VCCCGEEEIIIVxzd1CX6OHv3NJazwMKA3WyU46vDBg0ii5dX2HvvqPcdmdvfpk6X+IRQgghhBBCmI67eerqKqUuOHhfAXm8UP+7wAwvlHOT+Dm/X/d6wMefMm91HFGFCrJ83Jibli/T/vrJu2fMdj2Zt9Hyi7TvnKW4M+KpbCweo3wdvxBCCCGEEMI/XJ6p01rbtNYRDv6Fa61dXn6ZPsF45vnqgI+BZ9LmqzsPvA1sB5p5pTUudGvdkilvZ+ehnYEt39esHr8QQgghhBA5lc8mH8/E2Xx1S7XW9YBY4FGlVANfBtGoVk0Kh/tunjdfl+9rVo9fCCGEEEKInMofB3Uuaa0vA2uBSoGORQghhBBCCCGsxh8Hda7mq0MpFQncDvzrh1iEEEIIIYQQIqi4e1CKNySkXWZ5ozuVUuuBFOB9rfV1B3VKqb5AX4AyZcr4PEghhBBCCCGEsCJ/HNQ5s1RrfY+zX2qtxwPjAWJjY7XfohJCCCGEEEIICwn4PXX+0mfESNoNfoXdh49Sq3tvfvzLu/O8+bp8X7N6/EIIIYQQQuRUgTxT51dfvTzY0uX7mtXjF0IIIYQQIqfy+UFd+nx1N7y3CFjk67qFEEIIIYQQItgprc1/u5pS6iKww8fVFATOS/kBKx8gCjjtw/KDIUdWb4PV+9gfdVi9fF/3MVg/R1YvH6w/lq1evj/qkD4OfB1W72Owfo7MVn5ZrXW0w99orU3/D4jzQx3jpfzAle+Pfg6SHFm6DVbv4yDpA0v3cZDkyNLl+6OfrZ6jINkWSR8HeRtkex1c5eeYB6VkwSwpP6Dl+0Mw5CgY2uBL0geBL98frJ4jq5fvD1bPUTBsi3xN+iDw5fuD1XNkmfKtcvllnNY6NtBxCN+Sfg5+0sfBT/o4Z5B+Dn7Sx8FP+ji4WOVM3fhAByD8Qvo5+EkfBz/p45xB+jn4SR8HP+njIGKJM3VRUVG6XLlygQ5DGHTm4klDy0eGF/Vp+UaZLR5PmK0NRuMxyh99kNNyapSvx70nzBiTEWaM34zbO18Khpz6etuVE7eNMg7cs/p6ZJSv17u1a9ee1k4elGKJeerKlStHXFxcoMMQBk38Z+x1r7/+8Ec2rNxCRKFw/jthyE3Ld2/ZP1vlO+OuXmd8FY8znsbpitVzapSv44ecl1OjfD3ugyUmI8wYf3a3d0b5YvtoRKBy6qzdu7fuY8ncFTTr0IjvRv0MgNbQuUd7YpvUdVi+kTb06tWLX6dPNVTvmDeMnfQxU3s95ctx4M1ceIvRnAZqPXLGHzn19XqnlDrg7Hc+u/xSKRWplNqQ9u+4UupIptc67f8tSqmpSql8vopDmEeTu27nhff8v7MUqHqNskqcYK1YHTFj/GaMyRvM2C4zxmSE1eP3RE5sMzhv96bVW6ndsDqlypVg2OcvMXz8q7zwfj++G/0zdrs92/X27NnTcL3JycnZrjdQ7TWjYMhFoNYjZ4Ihp6747KBOa31Ga11Pa10P+AIYnen15bSfawGJwFO+ikOYR7U6lcgf4f/j90DVa5RV4gRrxeqIGeM3Y0zeYMZ2mTEmI6wevydyYpvBebu3rt9BzQbVyJ0nFzabDYCkxCQUyiv1Nm3aNCD1Bqq9ZhQMuQjUeuRMMOTUFTNcfrkUqBPoIIQQQgghzO7i+UvYbDbyFcgLwJ5t+/n6wx85cyKevq/2yNgp9Xe9oaG+2aUMVHvNKBhyEaj1yNN4rJDTdAE9qFNKhQJ3A38GMg4hhBBCCCvYEreNWrHVMl5XrF6O974ZytEDxxk/4gfq3FqDXLnC/F7vBy9dJU+ePH6v11ftNaNgyEWg1iNP47FCTtMFakqDvEqpDUAccBCYcOMCSqm+Sqk4pVTcqVOn/B2fEEIIIYTpbFq9lToNa9z0fomyxcmTNzdH9h0NSL1btmwJSL2+aq8ZBUMuArUeeRqPFXKaLlAHdQnp99dprQdorRNvXEBrPV5rHau1jo2OdvjkTiGEEEKIHENrzaG9RylTqRQAp46dzniQw+kT8Rw7dJyo4pEBqdcXU08Fqr1mFAy5CNR6lJ14zJ7TzMxwT53IIca98y3bN+7i0vlLPNd1KF16tKdZ+0ZBW69RVokTrBWrI2aM34wxeYMZ22XGmIywevyeyIlthpvb3aZzM8pWKoVSqQ9w2LllL7N/nkdoqA2lFN0HdiW8YIFs19utWzfmzptjqN6oqKhs1xuo9ppRMOQiUOuRM8GQU1fkoE74Tb+hj+eoeo2ySpxgrVgdMWP8ZozJG8zYLjPGZITV4/dETmwz3NzuGT/+Se2G1TNeN25zK43b3Or1en/++efr5v/yV72Baq8ZBUMuArUeORMMOXVFaa0DHYNbsbGxWiYfF0IIIUSwOrhr+nWvjx47zaCXxnD69DmUUjzctQ29etwDwLoNO5g8dQHdHmzDq69/DqReSvbcgK60a3u7w/LLVO6S5VgOHTrEgw+0N1T3u++NpkuXrNdxY3u93WYj7fWUozZ4i7f73xuMrkPdu3fn8KHdhuLv23+EoZiM9IE/curr9U4ptVZrHevodz47U6eUsgObM73VGSgHLAQ6aa1npS03G/hIa73IV7EIIYQQQliJzRbC0Fd6ULtmRS5dSuCe+16gSeO6VKlUmkWL19OsaX2qVinDrN8+JDTUxomT8dzd6Xlat2xIaGj2HsMeGhpquO4OXZ6kY8eO2XokfSDbbDZWz0VoaCgjR44kKvyAofh7Pfmuz6Y1sHpO3XH5oBSl1PM3/BuklHpMKVU+C2VnfhhKPa31/rT3DwNDshu4EEIIIUSwKla0CLVrVgSgQIG8VKpYihMnzgCwfMUmmjSqQ968uTN2Nq9dS8q4Nyi7YmJiAlJ3INtsNlbPRUxMDA0aNADME7/Vc+qOu0PhcAfvlQOGKKWGaa1/8aDOjUCYUqqN1vpvD/5eCCGEECLHOHT4JP9u3Ue9ulWIj79AaFgoEeH5AVi/cScvvjqWI0dPMfqDgV4/o5DVun/88SevnmEJZJvNxuq5MBa/fx73YfWcOuLyTJ3W+i0H/54FGgEvuSk7r1JqQ9q/Gy94fRcYmo24hRBCCCGC3uXLCTw14APeeK0X4QXysWT5Bpo2rpvx+/p1qzB/zifM/PUDxn35G1ev3TRLlF/qfu+997h69arf6/V2m83G6rkwHL+X1iGvxmSynDrj0Tx1Wut4wN35yMyXX15316DWegmAUqqJsz+WyceFEEIIkZMlJSXz1IAP6dyxKXfflfqwhvR7f25UuVIp8uXPw86dBwNSd4ECBbwycXQg22w2Vs9FUlKS4fh9Pfm41XPqikcHdUqpFsDZbNbt8mydTD4uhBBCiJxKa81Lr42lUsWS9OnVKeO97Tv2U7N66qMNDh46QXJy6mTJh4+cZM/eI5QqWTQgdW/fvj3bE0cHss1mY/VcaK154oknDMfvy8nHrZ5Td1xeuKqU2gzcOOdBEeAo0D07FWut5ymlhgMx2SlHCCGEECLYxK3dzm8zFlOtalnu7vQ8AO3a3k7NGhUyHt4Qt3Yb48ZPJyzUhgpRvPNmX4oUich23cuXLzdc97hx47I9cXQg22w2Vs/F8uXL+eGHHwzH78vJx62eU3dczlOnlCp7w1saOKO1vuy2YKUuaa0L3PBec+AFrfU9aa87ATOAFq6mNJB56oQQQggRzLIy39aYcVMpVyaGTvc4vXvFKaPzZ90Yj7u6s1u+M5622erz1DmSnf73Bk9ymjlHWYnfV+uRM97OaSDnqZPJx4UQQogcLn7O79e9PnLqNP1GfsLJc6mT9PZo14Yn7+0IwJrtO5g0bz6P3dWG5z9Nm6QXeOnhrtzTyPEkvUXad85yLIcOHeLhDu0N1T185ChDE1/f2F5vt9lIe4V5mGm9CNQ48JariYnc8/IQEpOSSbbb6dT4Dl55tBsAvy1eyr5jxxn80AMArNu5i3aDX+HrlwfTqUkjn8UExsemoxwN+PhT5q2OI6pQQZaPG5Pxfnq/3HtnY4Z/+wOJycnkCg1l2BM9aFq3jlfiCcjk45kqdzYJ+QxgH5Ab+EVr/ZavYxFCCCGEezZbCG/37kndShW5eCWBVs8Opln9elQrU5oFcetoeUsDqpcty4JPPiLUZuN4fDzNnhlEu9saEmrL/sTXRutu/qR3Jr4OVJuFeQVqvQjUOPCW3GFh/P7ftymQNy9Jycm0f/E1WsU2oGG1qsxfu46+He8BwG6389a3E2nRoF5gAzagW+uW9L6nPf1GfXLd++n9EhkRwaQ3hxATWYRt+w/wnzfe5t+JE3wel0cPSjHI2STkS7XW9YBY4FGlVAM/xCKEEEIIN4oXKULdSqmT9Ibny0vl0qU4diZ1kt4lGzfRvF4d8uXJnbHTei3RuxNfB6LuQLZZmFeg1otAjQNvUUpRIG9eAJKS7STb7SgUWmu27N1P3UoVAPhq1hw6Nr6DqIIFAxmuIY1q1aRw+M1Teaf3S52KFYiJLAJAtbJluHotkWtJST6PK+CH8lrry0qptUAlYF2g4xFCCCHE/zt44iSb9+7jlqpVOHP+AmG2UCLyp07SG7d9JwM/+YzDJ08xbvCzXj9jldW6f/jJuxNfB7LNwrwCtV4Eahxkl91up+WzL7Dv2HF6dbib2GpV2Lh7DzXLl0MpxdHTZ/hjxUpmvDecATs/C3S42XJjv6SbtXwFdSpWIHdYmM9j8MeZOleTkKOUigRuB/71QyxCCCGEyKJLCQn0fHcE7/bpRUS+fCxcv4HmmS6Tiq1Whf99Poa/R3/Ax1OncTXRe5P0GqnbmxNfB7LNwrwCtV4Eahx4g81mY/Fno9n8/des37mLbfsPsGDtelrfknpx3pDxE3jj8e6EhPjjcMS3buwXgO0HDvLWtxMZNeApv8Tg78svM9+9eadSaj0wD3hfa33dQZ1MPi6EEEIETlJyMj3/+wH/adGUjo3vAGB+3Dpa3XLzJL1Vy5Qmf548bDvgpYmvDdbttYmvA9hmYV6BWi8CNQ68rWCB/DSpU4sFa9ezaP0GWjSoC8CG3XvoM2Ik9R7vy6zlK3hx3Jf8sWJVgKP1zI39cuT0abq/8z7jBj9L+Rj/zN4WyHO0S9OnNnBEaz0eGA+pT7/0W1RCCCFEDqe1ZuAnY6lSuhT9utyb8d7W/QeoXSF1kt4Dx09QMjqKUJuNQydPsuvwEcoU9c7E10br9tbE14FqszCvQK0XgRoH3nL6/HnCbKEULJCfhGvXWLRhI/273Euy3U6RiNR539Z/82XG8v1HjeGuW2PpcMdtgQrZYzf2y/lLl+k27F1e7/kYt9Wo7rc4zHPhrRBCCCFMYdXWbUz5ZxE1ypWl2TODALin0e3UrlA+42EMK7du45OpvxFmsxESEsKH/Z4ksqB3Jr42Wrc3Jr4OZJuFeQVqvQjUOPCWE/Fn6T9qDPaUFFJ0Cp2bNCbZbqdZvbqBDi3b+owYyfLN/3LmwgVqde9Nn47tr+uXr2bPYd/RY3z08xQ++nkKAL++8ybRhQr5NC6fz1OXlUnI3ZF56oQQQgjfycp8VR/9MpUKMcW5r9mdhsvP7txQ7ur2xtxTjnjaZpmnzprMtl6YZRx4y7OfjOXRu1rTsFpVv9abmS9y5M9to+UnH1dKXQR2+LiagsB5KT9g5QNEAad9WH4w5MjqbbB6H/ujDquX7+s+BuvnyOrlg/XHstXL90cd0seBr8PqfQzWz5HZyi+rtY52+Butten/AXF+qGO8lB+48v3Rz0GSI0u3wep9HCR9YOk+DpIcWbp8f/Sz1XMUJNsi6eMgb4Nsr4OrfOs/Q9R7Zkn5AS3fH4IhR8HQBl+SPgh8+f5g9RxZvXx/sHqOgmFb5GvSB4Ev3x+sniPLlG+Vyy/jtJPrR0XwkH4OftLHwU/6OGeQfg5+0sfBT/o4uFjlTN34QAcg/EL6OfhJHwc/6eOcQfo5+EkfBz/p4yBiiTN1QgghhBBCCCEcs8Q8dVFRUdoskymKrDtz8aSh5SPDjU3UabR8o8wWjyfM1gaj8Rjljz7IaTk1ytfj3hNmjMkIM8Zvxu2dLwVDTn297cqJ20YZB+5ZfT0yytfr3dq1a09rJ0+/tMRBXbly5ZB56qylV69e/Dp9KhGFwvnvhCEZ7+/euo8lc1dwa7P6TPl6JvbkZGyhoTz0ZGfeHzzGUB0T/xl703tff/gjG1ZuMVRvjfqO50vp3rJ/tuNxxZuxOuONNgQyp0Y56wOzrRdWyqkR/hj3wRCTEWaN3+j2zghn4yPdtg07+eSN8UQXjwTglib16Nz9bp/FA/4ZZ2baVuTEz3BPyDhwLVDrkRHu8myUr9c7pdQBZ7/z2UGdUioSWJD2sjhgB06lva4LbEyrfxvQQ2t9xVexCP/r2bMn5W4tyvgRE697f9PqrdRuWJ3wggUY9M6TFI4qxOF9R/nw5bFe2RFpctfttL63maF6P5nybrbrDeZYrRKnK2Zrg9ni8ZZAjXurxWSE1eP3hLPxkVmVWhV5/r9P+zGqwAjUtkI+wwMvGMaBFbZfWcmzVfjsQSla6zNa63pa63rAF8DoTK8vp/1cC0gEnvJVHCIwmjZtSv6IfDe9v3X9Dmo2qEbZyqUpHFUIgJLlYkhKTOLatWvZrrdanUqG601KTMp2vZ6wSqxWidMVs7XBbPF4S6DGvdViMsLq8XvC2fjIiQK1rZDP8MALhnFghe1XMOQ5nRkuv1wK1Al0EML3Lp6/hM1mI1+BvNe9H7dkA2UrlyZ37twBqTcsV5hP6vWEVWK1SpyumK0NZovHWwI17q0WkxFWj98bdm/dx9A+71EosiAPPdWFUuViAh2S3wRqWyGf4eZjxXEg2y/fCeiUBkqpUOBuYHMg4xD+sSVuG7Viq1333uH9x5j81Qx6Dnoo6Or1hFVitUqcrpitDWaLx1vM2C4zxmSE1ePPrnKVSzPq5+G889WrtOnSjDFv5Kynsue0z9Kcvr47Y9VxIP3pO4E6qMurlNoAxAEHgQk3LqCU6quUilNKxZ06derGXwsL2rR6K3Ua1sh4HX/qLGPeGE/fVx6jWAmHD/KxdL2esEqsVonTFbO1wWzxeIsZ22XGmIywevzZlTd/XvLkTf02v+5tNbEn27l4/lKAo/KfnPZZmtPXd2esOg6kP30nUAd1Cen312mtB2itE29cQGs9Xmsdq7WOjY6WTrY6rTWH9h6lTKVSAFy+dIVRr33Bg33upUqtikFXryesEqtV4nTFbG0wWzzeYsZ2mTEmI6wevzeci79A+hy7e7bvJ0VrCkTkD3BU/pHTPktlfXfOiuNA+tO3zHBPnQhC3bp1Y+68OVw6f4nnug6lTedmlK1UCqUUAPN/X8KJo6eY8cNcZvwwF4B2/3uAokWzN7/HuHe+ZfvGXYbqfXHEM0QUDs9WvcEcq1XidMVsbTBbPN4SqHFvtZiMsHr8nrhxfHTp0R673Q5Ay453smbJev6ZuRSbzUau3GH0G/p4Rj6CTaC2FfIZHnjBMA6ssP1ylOdm7Rv5rX5vUulH+T6tRKlhwCWt9Udpry9prQtk9e9jY2O1zFNnPZnnDpnx458UKxHF7S1jnS7vi3nhslKvP+NxJTuxOmP1nBqV1T4w23ph5pwa5etxHywxGWHG+H05P5cZmSWngdp25YTPcE/IOHDPDOuRP/lhnrq1WmuHCXR6UKeUCtVaJ/s0sizy9UFdr169mDljGpGRBfn7j08y3l+3YQeTpy7gnvaNeP+jH0lKSiYsLJTXXupBt+5v5Jh4zOrgruk3vffCq5/xz8I4Q7lrfEdth+WXqdwl2/EY4Sz27PBGGwKZU6Oc9YHZ1gsr5VQIR7K7vTPKF9tHI/wxznLatiIY2ivjIPCM9IE31y9nfJ0jVwd1ru6pW53NSu1KqQ2Z/pVTSjVXSmmlVMdMy81WSjXPTl3Z1bNnT76f8PpN7y9avJ5mTetTuHAE33zxGvNmf8yoEQMY9KJvB5LZ4rGSB+5rYdncOYs90Kyc03Rma4PZ4hHC7My6ffS1nLatyGntNSqnjgNvCfb1y9VBXXYvzM38MJR6Wuv9ae8fBoZks2yvatq0KYUK3nw99vIVm2jSqA61alSgWLEiAFSpXIar1xJ9Ojmi2eKxktsa1jSeO5NMXOos9kCzck7Tma0NZotHCLMz6/bR13LatiKntdeonDoOvCXY1y9XD0qJVko97+yXWutRHta5EQhTSrXRWv/tYRk+Fx9/gdCwUCLCr3+S0Jy/VlCrRgW/T45otnisxG3ucvDEpZ4KhpyarQ1mi0cIYU45bVuR09or/CuY1i9XB3U2oACen7FLn4sOYJ/WOvNFpu8CwwHTHtQtWb6Bpo3rXvfezl0Hef/DH/jx2zdzfDxWIrnzvmDIqdnaYLZ4hBDmlNO2FTmtvcK/gmn9cnX55TGt9dta67cc/ctC2Zkvv7zurkGt9RIApVQTZ38c6MnH06+vTXfs+Gn69h/BqA8GUrZM8Rwfj5VI7rwvGHJqtjaYLR4hhDnltG1FTmuv8K9gWr98eU+dO+8CQ539MpCTj2ut2b5jPzWrlwfg/IXLPN7nXV4e/BgNb6nu11jMGI+VSO68LxhyarY2mC0eIYQ55bRtRU5rr/CvYFu/XF1+2cqXFWut5ymlhgMxvqwnK7p168aCBX9y9uxFbruzNz0fa0/NGhUyJkf8/sc57D94nDFjpzBm7BQAFi5u7LPJEc0Wj5UMGDSKFau3GMrdD9++QVRkoQBGnerG2AcNfIiHHmgd6LAsndN0ZmuD2eIRwuzMun30tZy2rchp7TUqp44Dbwn29ctnk487mmA8beqCF7TW96S97gTMAFporRc5K8sfk49nnudizLiplCsTQ6d7nF4d6tf5tswQjxllZW6SrOTOGX/PU+cLvmiDP3NqVFb7wGzrhZlzKoQjZtze+ZJZ5jwLpm1FMLRXxkHgZacPsrN+ORPIeep8dlDnTfUqV9L/fPLRTe8P+PhT5q2OI6pQQZaPG5Px/prtO5g0bz733tmY4d/+QGJyMrlCQxn2RA+a1q3jsI4i7Tsbiil+zu+mj8cZb8bpitE2iOBntnETDIyMfUec5d9T3tp2WWV76ojkNPhYPae9evVi1m/TDMXZ+dU3TFO+J6zeZ2b0SNtWhnNn9fXIKF/v50R26OLR5ONe4WIS8vNpr7cppTx6vEy31i2Z8vbNnbkgbh0tb2lAZEQEk94cwrJxnzD2+YE8PdK3kwiaLR5nrBKnyBlkfQwsZ/kPNCuvF5LTnMMqOe3Zs6dP4/R1+d5klT4zI1/nzkrrkRH+Wud8flCH80nIl2qt6wGxwKNKqQZGC25UqyaFw2+eRHDJxk00r1eHOhUrEBOZOolgtbJpkwgm+W4SQbPF44xV4hQ5g6yPgeUs/4Fm5fVCcppzWCWnTZs2NR7ntWumKd+brNJnZuRR7oJ0PTLCX+ucPw7qXNJaXwbWApW8Ud6Z8xcIs4USkf/6SQRnLV9BnYoVyB3m30kEzRaPM1aJU+QMsj4KR2S98D7JqfdZJadu48yd29Tle5NV+syMZD3yjC/WOX8c1OXNdOnlTXczKqUigduBf294P2OeujPnL2S5soXrN9C8Qb3r3tt+4CBvfTuRUQOe8qgB2WG2eJyxSpwiZ5D1UTgi64X3SU69zyo59XWcVskDWCtWs5H1yDO+aJe/L7/M/EiYO5VS64F5wPta6+sO6jLPUxdZMCLLlc2PW0erW/5/EsEjp0/T/Z33GTf4WcrH+H/2BLPF44xV4hQ5g6yPwhFZL7xPcup9Vsmpr+O0Sh7AWrGajaxHnvFFu1zNU+drS9OnNvAWrTVb9x+gdoW0SQQvXabbsHd5vedj3FYjMBMKmykeZ6wSp8gZZH0Ujsh64X2SU++zSk59HadV8gDWitVsZD3yjK/aFciDumzrM2Ikyzf/y5kLF6jVvTd9OrandoXyGZMIfjV7DvuOHuOjn6fw0c+pkwj++s6bRBcqlCPisXqcImeQ9TGwbsz/K488xKN3BX4yWyuvF5LTnMMqOe3WrRsL//rLUJwLVjaiaNGipijfm6zSZ2bkSe6CdT0ywl/rnM/nqcvKJOTuOJun7kYf/TKVCjHFua/ZnYbj9MU8RmaLx5nsxOlKTpu/RbhntnETDLI7p5q3+WrbZZXtqS8EQ06tLhhymrkNWYkzO+udL8o3Khj6zGxuzGlOWI+M8vV+jqt56iwx+bhS6iKww8fVFATOS/kBKx8gCjjtw/KDIUdWb4PV+9gfdVi9fF/3MVg/R1YvH6w/lq1evj/qkD4OfB1W72Owfo7MVn5ZrXW0w99orU3/D4jzQx3jpfzAle+Pfg6SHFm6DVbv4yDpA0v3cZDkyNLl+6OfrZ6jINkWSR8HeRtkex1c5Qd8njoTmSXlB7R8fwiGHAVDG3xJ+iDw5fuD1XNk9fL9weo5CoZtka9JHwS+fH+weo4sU75VLr+M006uHxXBQ/o5+EkfBz/p45xB+jn4SR8HP+nj4GKVM3XjAx2A8Avp5+AnfRz8pI9zBunn4Cd9HPykj4OIJc7UCSGEEEIIIYRwzBLz1EVFRely5coFOgxh0JmLJw0tHxlubJ4Ro+UbZbZ4PGG2NhiNxyh/9EFOy6lRvh73njBjTEaYMX4zbu98KRhy6uttV07cNso4cM/q65FRvl7v1q5de1o7efqlqQ/qlFIdgY6VKlUiLi4u0OEIgyb+M/a6119/+CMbVm4holA4/50w5Kblu7fsn63yXdWxe+s+lsxdwa3N6jPl65nYk5OxhYby0JOdqVG/qsPyvRGPK+5ibdahEd+N+hkAraFzj/bENqlrqA6r59QoZ31gtvXCSjk1ytfjPlhiMsKM8Rvd3hm1afVWJo39lZSUFJq1b8Q93dretMyqRev4/fs5oKBMxZI8PeRxn8UTqJyaadsV7J/hnpBx4F4g1iNnzpw8y/j3J3Lh7EVQ0KJDY9re3wLw3r6Xr9c7pdQBZ7/z2UGdUioSWJD2sjhgB06lva4LbEyrfxvQQ2t95cYytNazgFmxsbF9fBWn8J8md91O63ubMX7ERL/XsWn1Vmo3rE54wQIMeudJCkcV4vC+o3z48lg+mfKuz+LJTqylypVg2OcvYbPZOHfmPEP7vkf9O2phs9lMFaeZcuqM2dpgtnh8yR/j3igzxmSE1eN3J8WewsQxU3jpg2coEl2IYf0+pP4dtSlZLiZjmeOHTzL753kMHfM8+cPzpe6kBSEzbSvkM9y/gnUcBHL7ZbOF0O2p+yhXpTQJV67y5lMjqHlLNUqWizHdvpcnfPagFK31Ga11Pa11PeALYHSm15fTfq4FJAJPOSpDKdVRKTX+/Hlfzx0p/KFanUrkj8gXkDq2rt9BzQbVKFu5NIWjCgFQslwMSYlJJCUm+TQmZ9zFmjtProyNSFJiEgrl7xABa+XUGbO1wWzx+JI/xr1RZozJCKvH787e7fspVjKKoiWiCA0L5bYWDVj3v03XLbP4j//RqlNT8oen5iGicHggQvU5M20r5DPcv4J1HARy+1UosiDlqpQGIG++PJQoW5yzp88B5tv38oQZLr9cCtRx9As5Uye84eL5S9hsNvIVyHvd+3FLNlC2cmnCcoUFKLKb3Rjrnm37+frDHzlzIp6+r/YwzTdFVsqpM2Zrg9niESJQzp4+T5Howhmvi0QXZs+2/dctc/xw6n00wweOQqek0Ll7e+rcWsOfYQZMTttW5LT2ppNx4Funjp/hwO7DVKxezjL7Xu4EdEoDpVQocDew2cHv+iql4pRScadOnbr5j4XIoi1x26gVW+269w7vP8bkr2bQc9BDAYrKsRtjrVi9HO99M5Rh415i9k/zSDTJN5JWyqkzZmuD2eIRwszsdjvHj5zk1VHP8vSQnnw76icuX7rpLo6glNO2FTmtvUbk5HGQHVcTrvHpsK95pN/95M2f1zL7Xu4E6qAur1JqAxAHHAQm3LiA1no88BawLleuXP6NTgSVTau3Uqfh/39zFX/qLGPeGE/fVx6jWAmHDxAKmBtjTVeibHHy5M3NkX1HAxDVzayUU2fM1gazxSNEoBSOKkj8qbMZr+NPnaVwVMHrlikSXYj6jWoTGmojOiaK4qWKcuJwzvgCOKdtK3Jae9PJOPCN5GQ7nw77ikatYom9sx5gnX0vdwJ1UJeQfn+d1nqA1jrR0UJa61la674FCxZ09Gsh3NJac2jvUcpUKgXA5UtXGPXaFzzY516q1KoY4Oiud2Osp46dxm63A3D6RDzHDh0nqnhkIEMErJVTZ8zWBrPFI0Qgla9WlhNHTnHq2GmSk5JZtXAd9Rtdf5dGg8Z12b5hF5B6ed7xwycpGhP47aOv5bRtRU5rb2YyDrxPa82EjyZRokxx2j3QKuM9K+x7ZYUZ7qlzKvOUBsL6xr3zLds37uLS+Us813UoXXq0p1n7Rj6to03nZpStVAqlUm90nf/7Ek4cPcWMH+Yy44e5ALw44pmA3FzsLtadW/Yy++d5hIbaUErRfWBXwgsWMF2cZsqpM2Zrg9ni8SV/jPtgiMkIq8fvjs1m47EBD/Lhy2NJSdE0vft2SpWL4bdvZ1OuahkaNKpD7YbV2RK3jVcff4cQm6Jr384UCMD20dfMtK2Qz3D/CtZxEMjt164te/nf36spVb4Er/d9D4BbmtQz5b6XJ5TW2veVKDUMuKS1/ijt9SWtdZYzFBsbq309T93BXdMNLV+mchcfRZLKbPGYUVZyNGbcVMqViaHTPU0Ml280p0b77EbZidUZX7TBnzk1Kqt9YLb1wsw5FcKR7G7vrMYf4yynbSuCob0yDgLPbPtevs6RUmqt1jrW0e/8cqZOaz3shtdZOqAL5Jm6F179jH8WxhEZWZC///jE7/WbPR6zujFPA/s9AMC6DTuYPHUB97RvxPsf/UhSUjJhYaG89lIPGt9R2+9xHj12mkEvjeH06XMopXi4a5ubYu32YBteff1zIPXygOcGdKVd29v9HqtVcuqK2dpgtniEMJtFS9bx1rvfYLen8NADren35H0Ol5vz1wqeHvAhs6Z9QJ3awXdVT07bVuS09roj48C7HO1LD+z3AOs27ODlIeNMs9/lKZ/dU6eUsiulNmT6V04p1VwppdMO1tKXm62Uau6ojEDeU/fAfS34fsLrfq/XGbPFY1bO8rRo8XqaNa1P4cIRfPPFa8yb/TGjRgxg0IuBOUC22UIY+koPFswdw+9T3mfipLns3H3oulirVinDrN8+ZO7MUXw/4XVee+MLkpPtfo/VKjl1xWxtMFs8QpiJ3W7n9be+4vuvhjJ/zifMnL00Y/uY2aVLCXz7/R/Ur1s5AFH6R07bVuS09roi48D73K1fZtnv8pQvH5SS+WEo9bTW+9PePwwMyUoBgZx8/LaGNSlU0DzXaJstHrNylqflKzbRpFEdatWoQLFiRQCoUrkMV68lci0Aj6otVrQItWum3uRdoEBeKlUsxYkTZ66LNW/e3ISGps6Ncu1aUsb13v5mlZy6YrY2mC0eIcxkw6bdlCsbQ5kyxcmVK4yOHZrw9/zVNy038pOfeKpPZ3LnDt4nZOe0bUVOa68rMg68z936ZZb9Lk95dFCnlApRSj3iYZ0bgfNKqTbuFpSnXwpviI+/QGhYKBHh+a97f85fK6hVowK5Azxx6aHDJ/l36z7q1a1yU6zrN+6kdftnuavjIN5968mMjU2gmT2nWWG2NpgtHiEC5fiJM8RketpcTPFIjp+Iv26Zzf/u4eixM7Rq4fDWkqCW07YVOa296WQc+IdV9ruywuVBnVIqQin1qlLqM6VUW5VqALAXeNBN2XkzXXp5412M7wJD3dQtk48Lr1iyfANNG9e97r2duw7y/oc/8N7wpwIUVarLlxN4asAHvPFaL8IL5Lsp1vp1q6RedvHrB4z78jeuXnM4+4ffmTmnWWW2NpgtHiHMKiUlhXfe+46hr/QMdCgBkdO2FTmtvVmV08eBt1hlvysr3J2p+wGoCmwGegMLgf8AnbXW97r528yXX173KBit9RIApZTTR81orcdrrWO11rHR0cE7uaTwvfRrpdMdO36avv1HMOqDgZQtUzxgcSUlJfPUgA/p3LEpd9+VeiPujbGmq1ypFPny52HnzoP+DtMhs+bUCLO1wWzxCBEoxYtFcuz4mYzXx46foXjaJXcAly4nsGPnQR567HUat3iS9Rt28sTT77Fp8+5AhOt3OW1bkdPam07GgX9YZb8rK9w9/bKC1ro2gFLqa+AYUEZrfdULdaefrUt2toDMUyeyS2vN9h37qVm9PADnL1zm8T7v8vLgx2h4S/WAxvXSa2OpVLEkfXp1chjrwUMnKBETRWiojcNHTrJn7xFKlSwasJjTmTWnRpitDWaLR4hAqlu7Evv2H+PgoRMUL1aEWX8sY8yoQRm/jwjPz4bV32e87vro6wx5uUeOeOpfTttW5LT2ZibjwPesst+VVe4O6jLuPtVa25VSh710QIfWep5SajgQ42KZWcCs2NjYPt6o04gBg0axYvUWzp69yG139mbQwId46IHW/g7DtPGY1Y156vlYe2rWqJBxs+v3P85h/8HjjBk7hTFjpwDww7dvEBVZyK9xxq3dzm8zFlOtalnu7vQ8AO3a3n5drHFrtzFu/HTCQm2oEMU7b/alSJEIv8YJ1smpK2Zrg9niEcJMQkNtvP1Gb7o/8TZ2ewoP/qcVVSqXYeQnP1OnVkXatLo10CH6TU7bVuS09roi48D73K1fZtnv8pTLyceVUnbgcvpLIC9wJe1nrbV22lJHE4ynTV3wgtb6nrTXnYAZQAut9SJnZcnk4+6ZcUJIXzPbxKVmmwATct5E2TL5uBD+IZMue19O21YEQ3tlHARedvrADPtdRrmafNzlQV2gpV9+WT6meJ+4rz+/6fcDPv6UeavjiCpUkOXjxmS8v2b7DibNm8+9dzZm+Lc/kJicTK7QUIY90YOmdes4rKtI+86GYouf87vp43HFXayP3dWG5z9Nm4AReOnhrtzTyNgEjEbbIIKf2cZNMDAy9o+cOk2/kZ9w8lzqpPc92rXhyXtTpw311tj31rbLKttTyWnOEAw5vbENzmL3NB5fl29UMPSZ2RjtY7D+emSUr/dzIjt0cXpQ58t56gCXk5CfT3u9TSn1pqO/TZ/SICJ/fke/plvrlkx5+42b3l8Qt46WtzQgMiKCSW8OYdm4Txj7/ECeHunbSSrNFo8r7mKtXrYsCz75iMWfjWbK268z+LPPSbZbZwJGYR1WGjdWZ7OF8Hbvnqz44lP+GjmCCbPnsv1g6mS2Zhv7VlkvJKc5m5Vz6ix2q5TvKSv3mdn4o4/Nuh4Z4a91zucHdTifhHyp1roeEAs8qpRqcOMfpk8+fuHy5Rt/BUCjWjUpHH7zJIJLNm6ieb061KlYgZjI1CcFVSubNkllku8mqTRbPK64izVfntyE2tImYEy03gSMwjqsNG6srniRItStlDrpfXi+vFQuXYpjZ1Kfrma2sW+V9UJymrNZOafOYrdK+Z6ycp+ZjT/62KzrkRH+WufcPSjF57TWl5VSa4FKwLobfjcLmFWvcqUsPyjlzPkLhNlCufHs3qzlK6hTsQK5w/w7SaXZ4nHlxljjtu9k4CefcfjkKcYNfjZjp0QIX7PSuLGqgydOsnnvPm6pWsUyY9/s64XkVIDk1Iqkz4S/+WKd88eZOleTkKOUigRuB/694f2MycfPnL+Q5coWrt9A8wb1rntv+4GDvPXtREYN8P8klWaLx5UbY42tVoX/fT6Gv0d/wMdTp3E10ToTMAprs9K4saJLCQn0fHcE7/bpRUS+fJYZ+2ZeLySnIp3k1Hqkz4S/+WKd8/fll5kfCXOnUmo9MA94X2t93UFd5snHIwtm/XGi8+PW0eqW/59E8Mjp03R/533GDX6W8jFOZ0/wGbPF48qNsaarWqY0+fPkYdsB60zAKKzNSuPGapKSk+n53w/4T4umdGx8B2CdsW/W9UJyKjKTnFqP9JnwN1+sc/44qHNmqda6vtb6Fq31F44WcHdP3Y201mzdf4DaFdImqbx0mW7D3uX1no9xW43ATChspnhcuTHWA8dPZNzIf+jkSXYdPkKZotaZgFFYl5XGjdVorRn4yViqlC5Fvy73ZrxnhbFv1vVCcioyk5xaj/SZ8DdfrXMBv6fOFXf31PUZMZLlm//lzIUL1Oremz4d21O7QvmMm9C/mj2HfUeP8dHPU/jo59RJKn99502iCxXySbxmiyc7sa7cuo1Ppv5GmM1GSEgIH/Z7EiNnTIXIKiuNG6tbtXUbU/5ZRI1yZWn2zCAA7ml0uynHvlXWC8lpzmblnN4Y+yuPPMSjd7W2TPneistKfWY2/uhjs65HRvhrnfP5PHVZmYTcxd+6nKfuRh/9MpUKMcW5r9mdhuP0xTxGZovHlezE6ozZ5g4RgWe2cRMMzDb2fbXtysnb02DIqdUFQ06Nrte+Hjdmaa+Z+8xsPNk2Wn09MsrX+zmu5qkz9eTj6ZRSF4EdPq6mIHBeyg9Y+QBRwGkflh8MObJ6G6zex/6ow+rl+7qPwfo5snr5YP2xbPXy/VGH9HHg67B6H4P1c2S28stqraMd/kZrbfp/QJwf6hgv5QeufH/0c5DkyNJtsHofB0kfWLqPgyRHli7fH/1s9RwFybZI+jjI2yDb6+AqP5APSjGbWVJ+QMv3h2DIUTC0wZekDwJfvj9YPUdWL98frJ6jYNgW+Zr0QeDL9wer58gy5Vvl8ss47eT6URE8pJ+Dn/Rx8JM+zhmkn4Of9HHwkz4OLlY5Uzc+0AEIv5B+Dn7Sx8FP+jhnkH4OftLHwU/6OIhY4kydEEIIIYQQQgjHrHKmTgghhBBCCCGEA6Y/qFNKtVNK7VBK7VZKvRLoeIT3KaX2K6U2K6U2KKXiAh2P8A6l1DdKqZNKqS2Z3iuilPpbKbUr7f/CgYxRZI+TPh6mlDqSNp43KKXaBzJGkT1KqdJKqYVKqa1KqX+VUs+mvS9jOUi46GMZy0FEKZVHKbVaKbUxrZ/fSnu/vFJqVdp+9mSlVK5Axyo8Y+rLL5VSNmAn0AY4DKwBummttwY0MOFVSqn9QKzW2tdzpQg/Uko1BS4BE7XWtdLe+wCI11q/n/YlTWGt9cuBjFN4zkkfDwMuaa0/CmRswjuUUjFAjNZ6nVIqHFgLdAZ6ImM5KLjo4weRsRw0lFIKyK+1vqSUCgOWAc8CzwO/aa1/UUp9AWzUWn8eyFiFZ8x+pu5WYLfWeq/WOhH4Bbg3wDEJIbJAa70EiL/h7XuB79N+/p7UHQdhUU76WAQRrfUxrfW6tJ8vAtuAkshYDhou+lgEEZ3qUtrLsLR/GmgJ/Jr2voxlCzP7QV1J4FCm14eRDU0w0sA8pdRapVTfQAcjfKqY1vpY2s/HgWKBDEb4zDNKqU1pl2fKZXlBQilVDqgPrELGclC6oY9BxnJQUUrZlFIbgJPA38Ae4JzWOjltEdnPtjCzH9SJnKGJ1roBcDfQP+2SLhHkdOq13+a9/lt46nOgIlAPOAaMDGg0wiuUUgWAacBzWusLmX8nYzk4OOhjGctBRmtt11rXA0qRejVctcBGJLzJ7Ad1R4DSmV6XSntPBBGt9ZG0/08C00nd0IjgdCLt/o30+zhOBjge4WVa6xNpOw4pwFfIeLa8tPtvpgGTtNa/pb0tYzmIOOpjGcvBS2t9DlgI3AEUUkqFpv1K9rMtzOwHdWuAymlP5skFPATMDHBMwouUUvnTbsxGKZUfaAtscf1XwsJmAj3Sfu4BzAhgLMIH0nf003RBxrOlpT1cYQKwTWs9KtOvZCwHCWd9LGM5uCilopVShdJ+zkvqQwi3kXpw95+0xWQsW5ipn34JkPYI3Y8BG/CN1vrdwEYkvEkpVYHUs3MAocBP0sfBQSn1M9AciAJOAG8CvwNTgDLAAeBBrbU8aMOinPRxc1Iv19LAfuDJTPdeCYtRSjUBlgKbgZS0t18j9Z4rGctBwEUfd0PGctBQStUh9UEoNlJP6kzRWr+dth/2C1AEWA88qrW+FrhIhadMf1AnhBBCCCGEEMI5s19+KYQQQgghhBDCBTmoE0IIIYQQQggLk4M6IYQQQgghhLAwOagTQgghhBBCCAuTgzohhBBCCCGEsDA5qBNCCCGEEEIIC5ODOiGEEEIIIYSwMDmoE0IIIYQQQggL+z+yjROc3XlioAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "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>Ntp</th>\n",
       "      <th>Nfn</th>\n",
       "      <th>Nfp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>collar</th>\n",
       "      <td>1.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>segment</th>\n",
       "      <td>22.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psd d/gtc=0.1</th>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psd d/gtc=0.3</th>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psd d/gtc=0.5</th>\n",
       "      <td>14.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psd d/gtc=0.8</th>\n",
       "      <td>1.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psd d/gtc=0.85</th>\n",
       "      <td>1.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psd d/gtc=0.9</th>\n",
       "      <td>1.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>detection</th>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uniformity</th>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total duration</th>\n",
       "      <td>10.5</td>\n",
       "      <td>7.5</td>\n",
       "      <td>8.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>relative duration</th>\n",
       "      <td>11.2</td>\n",
       "      <td>4.8</td>\n",
       "      <td>5.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Ntp   Nfn   Nfp\n",
       "collar              1.0  17.0  19.0\n",
       "segment            22.0   5.0   7.0\n",
       "psd d/gtc=0.1      16.0   2.0   3.0\n",
       "psd d/gtc=0.3      16.0   2.0   3.0\n",
       "psd d/gtc=0.5      14.0   4.0   4.0\n",
       "psd d/gtc=0.8       1.0  17.0  14.0\n",
       "psd d/gtc=0.85      1.0  17.0  14.0\n",
       "psd d/gtc=0.9       1.0  17.0  14.0\n",
       "detection          16.0   2.0   3.0\n",
       "uniformity         12.0   4.0   4.6\n",
       "total duration     10.5   7.5   8.5\n",
       "relative duration  11.2   4.8   5.7"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scale=2\n",
    "r=np.array([[2,3],[5,6],[9,10],[11,13],[14,17],[18,20],[22,24],[25,27],[30,31],[33,34],[37,38],[40., 45.],[47., 49.],[50., 51.],[52., 54.],[56., 61.],[62., 63.],[64., 67.]])/scale\n",
    "p=np.array([[1,2],[3,4],[7,8],[9,10],[11,12],[15,16],[19,20],[21,23],[26,28],[29,32],[33,35],[36,38],[39., 41.], [42., 43.], [44., 46.], [48., 53.], [55., 57.], [58., 59.], [60., 65.], [66., 68.]])/scale\n",
    "\n",
    "rdf,pdf,meta=mme_eval.multi_eval.array2SED(r,p,duration=max(p.max(),r.max())+1/scale)\n",
    "    \n",
    "\n",
    "res=mme_eval.multi_eval.get_single_result_df(rdf,pdf,meta,debug=['I'])\n",
    "res={m:res[m].loc['Test'][['Ntp','Nfn','Nfp']] for m in res}\n",
    "pd.DataFrame(res).T.round(1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyze dcase 2020 systems"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-22T19:49:24.214800Z",
     "start_time": "2021-09-22T19:48:24.264778Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    CTK_NU_task4_SED_4\n",
      "    Ebbers_UPB_task4_SED_1\n",
      "    Hao_CQU_task4_SED_2\n",
      "    Hao_CQU_task4_SED_4\n",
      "    Koh_NTHU_task4_SED_3\n",
      "    Liu_thinkit_task4_SED_3\n",
      "    Miyazaki_NU_task4_SED_1\n",
      "    Miyazaki_NU_task4_SED_2\n",
      "    Miyazaki_NU_task4_SED_3\n",
      "    Yao_UESTC_task4_SED_3\n"
     ]
    },
    {
     "data": {
      "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>collar</th>\n",
       "      <th>segment</th>\n",
       "      <th>psd d/gtc=0.1</th>\n",
       "      <th>psd d/gtc=0.3</th>\n",
       "      <th>psd d/gtc=0.5</th>\n",
       "      <th>psd d/gtc=0.8</th>\n",
       "      <th>psd d/gtc=0.85</th>\n",
       "      <th>psd d/gtc=0.9</th>\n",
       "      <th>detection</th>\n",
       "      <th>uniformity</th>\n",
       "      <th>total duration</th>\n",
       "      <th>relative duration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CTK_NU_SED_4</th>\n",
       "      <td>0.504686</td>\n",
       "      <td>0.734447</td>\n",
       "      <td>0.739508</td>\n",
       "      <td>0.716928</td>\n",
       "      <td>0.669434</td>\n",
       "      <td>0.559581</td>\n",
       "      <td>0.517729</td>\n",
       "      <td>0.463445</td>\n",
       "      <td>0.742460</td>\n",
       "      <td>0.935575</td>\n",
       "      <td>0.680940</td>\n",
       "      <td>0.874490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ebbers_UPB_SED_1</th>\n",
       "      <td>0.508973</td>\n",
       "      <td>0.778014</td>\n",
       "      <td>0.765865</td>\n",
       "      <td>0.748280</td>\n",
       "      <td>0.714474</td>\n",
       "      <td>0.533983</td>\n",
       "      <td>0.470317</td>\n",
       "      <td>0.405464</td>\n",
       "      <td>0.769607</td>\n",
       "      <td>0.916364</td>\n",
       "      <td>0.716073</td>\n",
       "      <td>0.847792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hao_CQU_SED_2</th>\n",
       "      <td>0.506343</td>\n",
       "      <td>0.711678</td>\n",
       "      <td>0.732883</td>\n",
       "      <td>0.722288</td>\n",
       "      <td>0.696792</td>\n",
       "      <td>0.532276</td>\n",
       "      <td>0.473409</td>\n",
       "      <td>0.411079</td>\n",
       "      <td>0.733464</td>\n",
       "      <td>0.940537</td>\n",
       "      <td>0.696411</td>\n",
       "      <td>0.871267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hao_CQU_SED_4</th>\n",
       "      <td>0.523201</td>\n",
       "      <td>0.701758</td>\n",
       "      <td>0.717141</td>\n",
       "      <td>0.709073</td>\n",
       "      <td>0.689820</td>\n",
       "      <td>0.557636</td>\n",
       "      <td>0.514738</td>\n",
       "      <td>0.456140</td>\n",
       "      <td>0.717943</td>\n",
       "      <td>0.953646</td>\n",
       "      <td>0.687413</td>\n",
       "      <td>0.906078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Koh_NTHU_SED_3</th>\n",
       "      <td>0.515043</td>\n",
       "      <td>0.761354</td>\n",
       "      <td>0.743417</td>\n",
       "      <td>0.728392</td>\n",
       "      <td>0.706002</td>\n",
       "      <td>0.580205</td>\n",
       "      <td>0.537492</td>\n",
       "      <td>0.469844</td>\n",
       "      <td>0.743899</td>\n",
       "      <td>0.923053</td>\n",
       "      <td>0.723627</td>\n",
       "      <td>0.890866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liu_thinkit_SED_3</th>\n",
       "      <td>0.511941</td>\n",
       "      <td>0.735136</td>\n",
       "      <td>0.725679</td>\n",
       "      <td>0.716419</td>\n",
       "      <td>0.681250</td>\n",
       "      <td>0.566150</td>\n",
       "      <td>0.524448</td>\n",
       "      <td>0.455780</td>\n",
       "      <td>0.726459</td>\n",
       "      <td>0.945809</td>\n",
       "      <td>0.700073</td>\n",
       "      <td>0.908391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miyazaki_NU_SED_1</th>\n",
       "      <td>0.556713</td>\n",
       "      <td>0.775097</td>\n",
       "      <td>0.774237</td>\n",
       "      <td>0.754398</td>\n",
       "      <td>0.730325</td>\n",
       "      <td>0.591954</td>\n",
       "      <td>0.536406</td>\n",
       "      <td>0.450517</td>\n",
       "      <td>0.776046</td>\n",
       "      <td>0.943554</td>\n",
       "      <td>0.732932</td>\n",
       "      <td>0.877952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miyazaki_NU_SED_2</th>\n",
       "      <td>0.510778</td>\n",
       "      <td>0.764084</td>\n",
       "      <td>0.751012</td>\n",
       "      <td>0.733949</td>\n",
       "      <td>0.706676</td>\n",
       "      <td>0.541507</td>\n",
       "      <td>0.484888</td>\n",
       "      <td>0.404188</td>\n",
       "      <td>0.752869</td>\n",
       "      <td>0.941757</td>\n",
       "      <td>0.717381</td>\n",
       "      <td>0.856371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miyazaki_NU_SED_3</th>\n",
       "      <td>0.551983</td>\n",
       "      <td>0.772585</td>\n",
       "      <td>0.763047</td>\n",
       "      <td>0.747109</td>\n",
       "      <td>0.724789</td>\n",
       "      <td>0.578939</td>\n",
       "      <td>0.523205</td>\n",
       "      <td>0.437524</td>\n",
       "      <td>0.766416</td>\n",
       "      <td>0.944729</td>\n",
       "      <td>0.728691</td>\n",
       "      <td>0.869855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yao_UESTC_SED_3</th>\n",
       "      <td>0.505015</td>\n",
       "      <td>0.774457</td>\n",
       "      <td>0.768551</td>\n",
       "      <td>0.763979</td>\n",
       "      <td>0.738929</td>\n",
       "      <td>0.525940</td>\n",
       "      <td>0.459492</td>\n",
       "      <td>0.386512</td>\n",
       "      <td>0.770647</td>\n",
       "      <td>0.920842</td>\n",
       "      <td>0.733362</td>\n",
       "      <td>0.892427</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     collar   segment  psd d/gtc=0.1  psd d/gtc=0.3  \\\n",
       "CTK_NU_SED_4       0.504686  0.734447       0.739508       0.716928   \n",
       "Ebbers_UPB_SED_1   0.508973  0.778014       0.765865       0.748280   \n",
       "Hao_CQU_SED_2      0.506343  0.711678       0.732883       0.722288   \n",
       "Hao_CQU_SED_4      0.523201  0.701758       0.717141       0.709073   \n",
       "Koh_NTHU_SED_3     0.515043  0.761354       0.743417       0.728392   \n",
       "Liu_thinkit_SED_3  0.511941  0.735136       0.725679       0.716419   \n",
       "Miyazaki_NU_SED_1  0.556713  0.775097       0.774237       0.754398   \n",
       "Miyazaki_NU_SED_2  0.510778  0.764084       0.751012       0.733949   \n",
       "Miyazaki_NU_SED_3  0.551983  0.772585       0.763047       0.747109   \n",
       "Yao_UESTC_SED_3    0.505015  0.774457       0.768551       0.763979   \n",
       "\n",
       "                   psd d/gtc=0.5  psd d/gtc=0.8  psd d/gtc=0.85  \\\n",
       "CTK_NU_SED_4            0.669434       0.559581        0.517729   \n",
       "Ebbers_UPB_SED_1        0.714474       0.533983        0.470317   \n",
       "Hao_CQU_SED_2           0.696792       0.532276        0.473409   \n",
       "Hao_CQU_SED_4           0.689820       0.557636        0.514738   \n",
       "Koh_NTHU_SED_3          0.706002       0.580205        0.537492   \n",
       "Liu_thinkit_SED_3       0.681250       0.566150        0.524448   \n",
       "Miyazaki_NU_SED_1       0.730325       0.591954        0.536406   \n",
       "Miyazaki_NU_SED_2       0.706676       0.541507        0.484888   \n",
       "Miyazaki_NU_SED_3       0.724789       0.578939        0.523205   \n",
       "Yao_UESTC_SED_3         0.738929       0.525940        0.459492   \n",
       "\n",
       "                   psd d/gtc=0.9  detection  uniformity  total duration  \\\n",
       "CTK_NU_SED_4            0.463445   0.742460    0.935575        0.680940   \n",
       "Ebbers_UPB_SED_1        0.405464   0.769607    0.916364        0.716073   \n",
       "Hao_CQU_SED_2           0.411079   0.733464    0.940537        0.696411   \n",
       "Hao_CQU_SED_4           0.456140   0.717943    0.953646        0.687413   \n",
       "Koh_NTHU_SED_3          0.469844   0.743899    0.923053        0.723627   \n",
       "Liu_thinkit_SED_3       0.455780   0.726459    0.945809        0.700073   \n",
       "Miyazaki_NU_SED_1       0.450517   0.776046    0.943554        0.732932   \n",
       "Miyazaki_NU_SED_2       0.404188   0.752869    0.941757        0.717381   \n",
       "Miyazaki_NU_SED_3       0.437524   0.766416    0.944729        0.728691   \n",
       "Yao_UESTC_SED_3         0.386512   0.770647    0.920842        0.733362   \n",
       "\n",
       "                   relative duration  \n",
       "CTK_NU_SED_4                0.874490  \n",
       "Ebbers_UPB_SED_1            0.847792  \n",
       "Hao_CQU_SED_2               0.871267  \n",
       "Hao_CQU_SED_4               0.906078  \n",
       "Koh_NTHU_SED_3              0.890866  \n",
       "Liu_thinkit_SED_3           0.908391  \n",
       "Miyazaki_NU_SED_1           0.877952  \n",
       "Miyazaki_NU_SED_2           0.856371  \n",
       "Miyazaki_NU_SED_3           0.869855  \n",
       "Yao_UESTC_SED_3             0.892427  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "rootFolder='dcase2020'\n",
    "\n",
    "dataset='public'\n",
    "gtf=f'{rootFolder}/metadata/{dataset}.tsv'\n",
    "metaf=f'{rootFolder}/metadata/{dataset}.meta.tsv'\n",
    "groundtruth=pd.read_csv(gtf,delimiter='\\t')\n",
    "\n",
    "l=['Miyazaki_NU_task4_SED_1','Miyazaki_NU_task4_SED_3','Hao_CQU_task4_SED_4','Koh_NTHU_task4_SED_3','Liu_thinkit_task4_SED_3','Miyazaki_NU_task4_SED_2','Ebbers_UPB_task4_SED_1','Hao_CQU_task4_SED_2','CTK_NU_task4_SED_4','Yao_UESTC_task4_SED_3']\n",
    "# l=['Ebbers_UPB_task4_SED_1']\n",
    "total_dic={}\n",
    "for team in sorted(os.listdir(f'{rootFolder}/submissions/')):\n",
    "    for code in sorted(os.listdir(f'{rootFolder}/submissions/{team}')):\n",
    "        if not(code in l):continue\n",
    "        print(f'    {code}')\n",
    "        \n",
    "        base_prediction_path=f'{rootFolder}/submissions/{team}/{code}/{dataset}/'\n",
    "        pef = f'{base_prediction_path}/{code}.output.tsv'\n",
    "        if not(os.path.isfile(pef)):\n",
    "            all=[x for x in os.listdir(base_prediction_path) if '.output.tsv' in x]\n",
    "            if len(all)>0:\n",
    "                pef=f'{base_prediction_path}/{all[0]}'\n",
    "            else:\n",
    "                print('error not found',pef)\n",
    "                continue\n",
    "        try:\n",
    "            title=code.replace('_task4','')\n",
    "            res1=mme_eval.multi_eval.get_single_result(gtf,pef,metaf,debug=[])\n",
    "            total_dic[title]=res1\n",
    "        except Exception as e:\n",
    "            print('Error! submission is ignored',e)\n",
    "#             raise\n",
    "            \n",
    "fs={s:{c:total_dic[s][c].loc['macro-avg']['f1'] for c in total_dic[s]} for s in total_dic  }\n",
    "total=pd.DataFrame(fs).T\n",
    "total"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-04-03T19:21:02.349221Z",
     "start_time": "2021-04-03T19:21:02.342986Z"
    }
   },
   "source": [
    "# Visualize Globally by F1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-26T20:16:46.768244Z",
     "start_time": "2021-09-26T20:16:46.496885Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                     collar   segment  psd d/gtc=0.1  psd d/gtc=0.3  \\\n",
      "CTK_NU_SED_4       0.504686  0.734447       0.739508       0.716928   \n",
      "Yao_UESTC_SED_3    0.505015  0.774457       0.768551       0.763979   \n",
      "Hao_CQU_SED_2      0.506343  0.711678       0.732883       0.722288   \n",
      "Ebbers_UPB_SED_1   0.508973  0.778014       0.765865       0.748280   \n",
      "Miyazaki_NU_SED_2  0.510778  0.764084       0.751012       0.733949   \n",
      "Liu_thinkit_SED_3  0.511941  0.735136       0.725679       0.716419   \n",
      "Koh_NTHU_SED_3     0.515043  0.761354       0.743417       0.728392   \n",
      "Hao_CQU_SED_4      0.523201  0.701758       0.717141       0.709073   \n",
      "Miyazaki_NU_SED_3  0.551983  0.772585       0.763047       0.747109   \n",
      "Miyazaki_NU_SED_1  0.556713  0.775097       0.774237       0.754398   \n",
      "\n",
      "                   psd d/gtc=0.5  psd d/gtc=0.8  psd d/gtc=0.85  \\\n",
      "CTK_NU_SED_4            0.669434       0.559581        0.517729   \n",
      "Yao_UESTC_SED_3         0.738929       0.525940        0.459492   \n",
      "Hao_CQU_SED_2           0.696792       0.532276        0.473409   \n",
      "Ebbers_UPB_SED_1        0.714474       0.533983        0.470317   \n",
      "Miyazaki_NU_SED_2       0.706676       0.541507        0.484888   \n",
      "Liu_thinkit_SED_3       0.681250       0.566150        0.524448   \n",
      "Koh_NTHU_SED_3          0.706002       0.580205        0.537492   \n",
      "Hao_CQU_SED_4           0.689820       0.557636        0.514738   \n",
      "Miyazaki_NU_SED_3       0.724789       0.578939        0.523205   \n",
      "Miyazaki_NU_SED_1       0.730325       0.591954        0.536406   \n",
      "\n",
      "                   psd d/gtc=0.9  detection  uniformity  total duration  \\\n",
      "CTK_NU_SED_4            0.463445   0.742460    0.935575        0.680940   \n",
      "Yao_UESTC_SED_3         0.386512   0.770647    0.920842        0.733362   \n",
      "Hao_CQU_SED_2           0.411079   0.733464    0.940537        0.696411   \n",
      "Ebbers_UPB_SED_1        0.405464   0.769607    0.916364        0.716073   \n",
      "Miyazaki_NU_SED_2       0.404188   0.752869    0.941757        0.717381   \n",
      "Liu_thinkit_SED_3       0.455780   0.726459    0.945809        0.700073   \n",
      "Koh_NTHU_SED_3          0.469844   0.743899    0.923053        0.723627   \n",
      "Hao_CQU_SED_4           0.456140   0.717943    0.953646        0.687413   \n",
      "Miyazaki_NU_SED_3       0.437524   0.766416    0.944729        0.728691   \n",
      "Miyazaki_NU_SED_1       0.450517   0.776046    0.943554        0.732932   \n",
      "\n",
      "                   relative duration       our  \n",
      "CTK_NU_SED_4                0.874490  0.808366  \n",
      "Yao_UESTC_SED_3             0.892427  0.829320  \n",
      "Hao_CQU_SED_2               0.871267  0.810420  \n",
      "Ebbers_UPB_SED_1            0.847792  0.812459  \n",
      "Miyazaki_NU_SED_2           0.856371  0.817094  \n",
      "Liu_thinkit_SED_3           0.908391  0.820183  \n",
      "Koh_NTHU_SED_3              0.890866  0.820361  \n",
      "Hao_CQU_SED_4               0.906078  0.816270  \n",
      "Miyazaki_NU_SED_3           0.869855  0.827423  \n",
      "Miyazaki_NU_SED_1           0.877952  0.832621  \n"
     ]
    },
    {
     "data": {
      "image/png": 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d5fhoyJg3OQXxQd2uql3t5duw5rlJGkSkCzATGK2qnbAKX9/Y64ZgzX3TV1U7Yo3++j8RaRXF8dKxRnwtiTb2cImFZ8W4mUInoHfJ5USpKA/oRKmWPhgfVDdnUyzzY/xJBk+S4hlRlA8HtsfE8RSPPjSBfFAHAMQar10XB/1FATxPTUTkLRFZLyKrRCQnQDJ3Ag+6RlbZkww+ba+bDExy1cCo6lqsIeXRNCn9DngDy7YdN5z2rBg3U+T49C65nCiSFndHUrJR3ZxNscyP8ScZkpJVs61nWQwcTwFdTk4QzAclIi9iDe3eDPxSVUu99u8J/FZVq9i8ReQ4sMFjURNgkare4s/zJCJPYRWwptkzDz9qG659xb4WuEFVq0xbKyJ7gNNVdb/Hssvt7a8It8nJrtl5BWuo9wtYLqgqTU6xcDk57VmJ1s0ULsnkb4mYQN6lXZYTpST9JLKO7zuxj5cjKdY+mHji6zt12kPkTbxdTpHmJ5n8Scl27yVTPMkYS1I8I3ZuoSSzWeVnGQR0vjnicnKCYD4oVb3Bbmp5Csu8/aLX/muAKoUZm8OehRFXHxr7oz/PU19srYA9i29TEWnoZbt2Al8lxUClx8eByfZMxv4TddjlFCvPSjRupnBJJn9LpAT0Lh2znCj5zUaTd/AtawcfjqRY+2Diib/vNBmcTf6IxOUUSX6SyZ+UbPdeMsWTjLEkxTNi3mzyZQB5JYtOLIvQ+eZNXIZtB/JBudZjuZecnFzOp+cpTDYBPfys2+xjXQ9gjf3e2+cUzOXUE3jVrtkZDswWkSvCjDdsYuVZMW6myPDpXXI5UbQi7o6kZKO6OZtilR/jTzIkLedOtJ5lMXA8xbyGxp8Pyu43005Vv7HfD8VZf5E/z9NyrAn6/mI3A+0KUDvzCPCmiKxQ1a9EJA2YoKp/Bx4GHhKRwaq627Z4DwP62/vmA2OAe+0aqNHAW/6CVVWXtgERmYPV5OR3e6eIlWfFuJnCI6B3Kf0sy4my7j9waKffUQHV0gfjg+rmbIpFfow/yeCLpHhGtMuDb0rgWAvHRznFY9i2Px+UAHNFpKH9fh3WbMCVCNSHJghT8e15mgq8ICLrgVIqF3YqoarrReT3wD9EpB5Wk9Fie90i21X1qYhkAKcAXVXVdbX8BXhaRNbZ+XsfS66ZVMTKs2LcTOER1LvULs8aG3jlar9pVLeh2YGobs4mp/Nj/EkGXyTNM6J2Fox63fFk49GHxq8PCugTwv5++9B4zkFjf56D7V8K4HnaA1wR7Lge2y/GLsT4WPd34O92geZF4H4RGa0W+7Hm3gkbVR0byX4GQ02iunmIqlt+DIZ4Y2YKdgBVLcdqXjIYDHGkuv3zr275MRjiSUq4nGKNiNzgw680K9WPZTDUFIwDKTzM+TJUR0yBBlDVF1U11+sVE+dSPI9lMNQEFhct5sYlN6bcpHqJwpwvQ3XF8SYnf94mj/VPAuO8+7+EkK7b2yQil2HN2zJQVb/zsW1brFFCXUJMew4wEDhDVY+KSDOs4de/Aly9qH4B7Ldfu7D69VQ6hohMBUpUdYaI5GNNpLcmlJhEpDf2HBZYnYinqurCUOKPhGR1vBj/U2CCOp8iJGzHS1G+NbOnw6MUwqW6OZ1iTTTnK1mfGTWdmPuZkuReDwVHCzRe3iZXwaCWx/qeVJ6bJZJjXAw8CQzyVZiJguPAOMClNkBVN2ANM/ccSr3A/tzWwWMDbMSaWbjcngxwnYi8Y/fPcRxPx0syDeP09D+1yc5NdDhJh8v5BLDz+xIOH3RNZ/9N1ZFRYeByvFRZ7mOIp9stlVG3sotl8ENxfdB5awMy0jJMoSYA0Z6vZH1m1HTCunfDJUnu9VBxusnJr7fJnovlESw/UkSIyAXAs8AQVS2yl90hIhvt1+89Nk8XkWdFZJOILBGRukGSfxy43R6xFHdUtdSj8FIHB71W3iSj48X4n8LDp/MpXrjcUjFwsYRKdXM6xZpoz1cyPjMMcSAJ7vVwcNTlFMjbJCK3AWmq+phn85HX/oG8TWXAQSBPVdfby3pgDdM+F6uZ5nOsCez2Ys1301NVC0XkdSzHk895YFy1L1hOqeXAO8AaVW3rvY1XDc2/ga0eSZ0CzIikycne5hwsj1MbYIyvJicnXE7xcLyESzT+p2RypsSSkpISsupn+Xc++TdmBCUsx8tOyy1VhQAulnAJ9J3GyukUb5dTpIR7vTtxvvw9M5Lt3kumeOIVSyj3bsSxxOheDzeehLic/HmbgCXACCAvyP6BvE1lwErgRuA2e1lfYKGqHgIQkTftYy8CvlXVQnu7AqBtCFn4G9bcNf8MYVuAIi+X1FSPdeG6nLD7GnUWkbOxJh18T1WPeG0TlcspXo6XSIjU/5RMzpRYkp+fT8bOlv6dT1E0OYXleJlnuaWo7fFAcsjF4iLYd5qMTqdIXE6REMn1Hs35CvTMKFy9MqnuvWR6FsQrllDu3YhjidG9Hqtz4/goJz/epm7AmcA3tquonoh8E2bSFcBVQG8R+XMI23vO+X2cEApvtp6h0D5OtITrcvKM499ACRBSp+ZwSGbHi/E/hY5P51O8cLmlYuBiCZXq5nSKNdGcr2R+ZhhiTBLc6+HgdKdgn94mVf0nVnOMa7sSVQ3bVa6qpSLyS2C5iPyE1Tw0R0SmY1W4DyP6Ce4eJPQamkDkA6NF5CO12vWuB5b521hETge+tzsFtwE6AsUOxFGJZHa8GP9TcAI6n6IgLMdLuzyrU2CCRz5UN6dTrIn0fAV6ZpzZNlbRGkIlpn6mJLnXQ8XpDrD+vE0hEYq3SVX3iMhg4BOspqc5gEtw85yqfhnNCCRV3SQia4HukaZh8wxWoWSdiCjWMPA/Bdi+LzDF7itUAUxU1ZBqdMIhmR0vxv8UnKDOpwgJe3hnu7ykeKhVN6dTrInkfAV6ZuTn5zsVmiFCYu5nSpJ7PRSc7kMTyNvkuZ3P/1SheptU9XtOyCYBHvXathiP5hpVnREknrFen68MYZtKx7CXTfV4fwyryS0kVPVlTsx5YzAYQsQ4kMLDnC9DdcXMFGwwGFIe8885PMz5MlRHapSc0nYmeRu+n1DVF+MYwyDgIa/F36rqsHjFYDBUN3aW7qwx/6TLK2Iy16bBkPLUqAJNMjiTVPUD4INEx2EwVBcWFy2uMX1oFhct5r8H/sviosXVPq8GQ7jEzeVkT0x3IZYLCWCsxzwxoaRbjDVR3i6PZUOBTqo6PcwY2wLnq+or9uexdtpV+ryIyLvAtaq6L0B6+XhMoue9r/3xWlX1O72iPbJpIVYzYCbwlKr+PfRchUaifSzG1RQ7H5Mv/Hpe6mfQZlidlBi5EIia5HJy5fUKucKRvCb6WWBIDDF3P3njywUVI+LqcgImuWbadQJVXYQ1iV64tMUqaLwSwjEuiyD9SvvaBaiJQKD5oncA59nnLQvYKCKLXOoIp0i0j8W4mmLnY/KFT8/L4X2Ub/8GSpqnhJ/FHzXJ5eSZ17SyNBrWahh1XhP9LDAkhpi6n7zx54I68x7nj0UcXU6xQETGishM+/0cERnusa4kwK7TgX4iUigit9vLWorI+yLytYg87JFOsYg0E5G2IvLvQH4oEUmz43jAc1/7eO3s4z3iKyBVPeY6b0BtYtBhO5E+FuNqqkrCfEwHfgAkZfwsvqhJLqdY5NW4mQxxwZ8L6tDPMTlcPF1Oc4DzsGbw/RiY4vEP3LV/S6y5ZKrUivhpchprL7vFh2vJpy/KXpeH1UQ0xCOde7FmND6K5Wfqq6rfu46LNceOTz+U3eQ0BWtenI2q+qBnzPa+AT1O9vatsSb1OxOrNmuWj20idjkl0uEUjaspGMnkbwkJJSIfUyT59Ol5OVaKVkDt5l7fvYMupmgxLicLX3nN0ixK7N9rkebVqWdBst17yRRPssYSlrctWvy4oErSGpHVOPRO/EnlclLVOViTyv0XqwnqGWAycL/X/j9iCSITwcequh9ARDZjCSK/99omkB/qf4HXXYWZSLDn18mxC3ZvicgCVf3Ja5uIXE7J4HCK1NUUjGTyt4TCivlfReRjiiSfPj0vP22i/MAR2v2m7YllDruYosW4nE7gndcLj17Iv2r/K+K8OvksSLZ7L5niSdZYwvK2RYsfF1R+8+vIyxvh7LGIn8sJVd2hFkeBF4HeDh+6HDs/IpJG5b47oRCK+ynQNiuBi0Qk6p6udsFuI1bB0BGSwcdiXE2VSZiPqWErQFPGz+KLmuRycjqvyfAsMNQQ/Lmg6reIyeHi4nKy152qqjtERIArsP5hO0kx0AN4HRiKNVLIHweBBg4f/3ngAuB1EblSVT0niwh6PBE5DditqodFpDGWCuExp4JLBoeTcTVZxMrH5Au/npdW7SArtUc51SSXk2deK6QiqoJbMjwLDIkjpu4nb/y5oLzbPhwini6neSLSHKuXQCFQpW47UB8am/UiUmG/fx1Y77HuWeBtEVkHvA8cChDneuC4ve0cYG/QnIWAqj4qIo2Al0VklMfy3SLyqYhsBN5T1Uk+dj8b+H+290mAGaq6wYm4IDkcTsbVZBErH5MvYu55STA1yeXkytt/N/w3qoJbMjwLDIkj7s8EXy6o7/Njcqi4uZxUtX8I+/vtQ6Oqbf3sNsde/xNwrsfyyQGOUwZ4xzPHY/0Qj/eu4+7Cjx9KVfM83t/nkWZbj+XXEgBV/RDICbSNwWCoSk1yEw1pN4SPvvso7v2DDIZUwLicDAZDylMTCjMuwhnNZDDUJKr1nSEi2VQ1WB9V1XMSEQ8kZ0wGQ6pSkxxOkWLOkaGmUK1raFR1g6rmer0SWnBIxpgMhlRkcdFiblxyY7WaRM9pzDky1CSC1tAEcDMJ8AAwwl73tKo+GeqB7UnnvlfVfh7LCoEMVe0iIj2B61T11jDyEzbek+x5LA/oiRKRqcCdQFtV/dleVqKqWbbqoNJEevb2JZ59b7zSewT4FXAMKAJuCOSPigSn3C3Gx5Q44uWBCsn34svREqeRUjXJ4RQp8TpHxgnln7h7k5KFBD0bAj4BvdxMOcAATgy4Ggu0Bjqq6tlAJNNiNrBnx0VEzvZcoaprYl2YCYSqLgpBerkL+INDh/wQ6GKf56+wJiJ0FE93SzR4+pgM8cXlgdq2eQ/vzFznfu8q5DiFy/fi/XI/nF2OlpKfKztaivIdjcMXniqAuhl1q6XuIFrieY6ceq5UR4LeR9WRBD4bgv2kC+Rmuhm4X1Ur7HWRyBleB0ba768B3GIfEckTkcW2H+lre8i3y5f0jYg0F5FficjnIvKliHwkIifb27xre5MKRWS/iFxvu5iWi8ha+1VlNJaI9LLTaufpiQrAC8BIEWkSQd4roapLPOauWQWcFm2anjjhbjE+puQhYR4oF/4cLTH2QdUkh1OkxPMcHa9Q44QyVCZBzwYI4nIK4mbaDTwKDAN2Ard6TKjn2j+Ym2kQ8KKqni8iXwKjsPQBXTybgkTkPmC/qj4uIpdgNXv92p6Abp+qqojcBJytqn/wOEYPrFmJ+wFlWJP+HRGR9sA/VLWn6zjAX4GngGGqus3TE+Xn3EwFSuxzk66q90XT5OSV9jv2uf4/H+sicjk54W6JpY8pGpLJmRJLSkpKyKqfFZEHKlyC+l78OFqc8kH5+k5j5XBykYwuJ18kwnPlj737D7DraFpC/HC+SKZnQUlJCZk7/hs/b1KQWOJ2XkJ4NoQbjyMupyBuptrAEbtQcCVWbUU/r/2DuZl2A3tF5Grg30Cpn+1eAN4GHgfGYRVSwKrFeE1ETsVSHXzr2sG2XL8MXKWq++0J72aKSC5Wnx/P2czOxnKwXKLh28GfBApFxLOg4q+UGNQEavdZKgfm+UwgApeTk+6WWPmYoiGZnCmxJD8/n4ydLSPyQIVLUN+LH0eLUz4of99pMjqcXMTK5eRNsniu9h46xhv/XML7uxsnzA/nTTI9C/Lz82n95pvx8yYFiSVu5yWEZ0Os4gnai9CfmwnYDrxpv19I5JPCvQbMwqO5yUcM3wM/iUh/LAfUe/aqp4CZqpoN/AaoAyAi6Vh9eu5XVZdi4XbgJ6ArlgHb847bARzBsm2Hhd1x9xXgfzwW7wYae23aBKvPjV/sWqEhwCgNVHUWJk66W4yPKTlImAfKhT9HS4x9UDXJ4RQp8TpHCwq2o2CcUIbKJOjZAEFqaAK5mYC3sGptvgUuxOrIGgkLsfrqfAC0DLDdc8D/AS+r6nF7WSPgB/v99R7bTgfWq6pnnW8jYLuqVojI9YBnG8k+4EbgQxE5pKr5YebhUeAL7PNp12ztEJH+qrrU7mMzGHjCXwIiMhhr1NSFquqvpioinHS3GB9TYomXByqo78WfoyUOIxlqksMpUuJxjlb9Zzfn1MU4oQIQV29SspDAZ0OwRtRAbqbpWH6m27H6ktzkvXMIbiZU9SDwkL19oFgWYTU1veixbCowX0T2AkuB0+3lfwQ22cPAAe4FZgNviMh1+HA9qepPIjIEeE9ExgUKxEcedonIQqxaIBfXAbNE5FH78zRVLQqQzEysZrwP7fOwSlWjr7vHWXeL8TEllnh5oEIaUurL0RInapLDKVJifY6eH9uL/Px8Ph6Z52i61YlqPTQ7EAl6NgTrQxPIzbQP+GWQ/cNyM6lqMbYvya4lyfdY3RVYp6pbPLZ/G6tvjXc6/kpGns1ik72Po6rbgM72+s/x8Dv5OMZUr893AHd4fN6MVYMVEqoavx5iBkM1oCY5nCLFnCNDTSIl1AciMgVrmPioYNsaDIaag/lHHRxzjgw1hZRQH6jqdFVto6or4n1sEbnLY04b1+uuKNKb5SO9G5yM2WCo7uwsrdovwVAVc54MNYmUqKFJJKr6IPCgg+n9T/CtDAaDPxYXLTZ9Z0LAnCdDTSPsAk0At9NyoIG9WQtgtapeEUa6xcBBO12AT1T1VhHJx5pgb43X9lMJcaK6aPGOwXPiPHtivrexRnvVBl5V1Wley9OAn4Fr/c2oLCIdsTo8dwfucjpf0fhWjLspuYmX38mboJ6aGPhcjMMpNJL5PFVH95Ove+HolVfy3fPPp1bH4AT62ZwgrAKNl9vpqD15XS0AL8nkG/jorBsCF6lqwLlanMAWa4pL2+AAy+0ZjetjTbL3judy+5h/w5qr5j4/aewBbgWucCimSnj6VsIdUunpbmqTnRuL8AxR4PI7Aez8voTDB13Tz38Ts1FQcMJTU2X5zp0nfC4ZdSv7XAY/FPED0ntK/4y0jKT7Z50MJPt5iuZZlKz4uhckMyO1nE0xuGfjTbg/3wK5nQAQkYZAf6x5apxijN3XZKOI9PZY3lVEPrNdT+M9YpgkIl+IyHoRmWYvaysiW0XkJWAj0FpE5thpbrCHn0eFqh4CCoBKI5bsAlQDYG+AfX9W1S+wFA2OEqnHybibUouE+508cdjnYhxOoZHs58kJp5whRiTQweQUAV1OVTYO4Hby2OY6YKiqDvexfzC3k2eT01xVfcxu7vlaVceLyAXAbLupZyqWR+pcoD7wJXAO1rDv4VgzBwvW/DUPA9uA/wDnq+oqW+kwXVUH2sc/yR6K7ivf+QRucnI5p5piFWh+CTTnRJNTU6x5b3qr6gGfJ/fEsaYSoCktEpdTpB6nZHU3eZNM/pZY4jefSlz8Tt4E9D2dVB6V68kzr/HyE6W6yyneHqdAsfjDCaeck/E4ha974UiDBtTeszeuziZ/hHReYuxnCzseDxxxOXkTxO3k4hqsWX197R/M7eSvyekf9v6fiEhDe6I/gLdV9TBwWESWYWkR+gKXYBVwwJocsD1WgeY7VV1lL/8PcIaIPAX8E1gSIC5fpT7PZf1suWYFViFpk13Q8WxymoxVsIpqsrxwXU7RepyS0d3kTTL5W2KJv3yumP9VXPxO3gT0PY3Oisr15J3XZHY4uUgGl1O8z1M4956TTjkn4nESX/fC1v4X0e7NN+PqbPJHSOclxn62sOOJgLB7DAZwO7mEkL2xCghO4l2g0ADLBfibqubarzNV9Xl7vXt2YFXdizVZXz5WIcNnIczG283k7WVarqrdVLWHqv7dTxqLgAsCHCMmROtxMu6m1CHhfidPHPa5GIdTaCTzeXLSKWeIAQl0MDlFuJ2CA7mdwGrqWayqR5wJz81IYJmI9AX22/ZsgMvtzrb1gTxgCnAY+IuIzLNrlFrho1+KXfg6pqpviMhWLE+UP/KB0SLykS2NvB5YFmYe+gKB1AcxIVqPk3E3JT/x8jt5E9BTEwOfi3E4hUaynicnnXLJhq97QcvKU8vZlEAHk1OE25AayO0EcDWW48knIbidlomIqw/NelW9zn5/xG7SyQQ8PUvrsQoWzYC/2E1aP4rI2cBndqGnBBjNib45LloBL4q4G5v/5C9urGrkjsA6EVFgTZDtXfSzfVIC7MeH78qFiJxip9sQqBCR3wOdgvW5CUa0Hifjbkp+4uV38ibocNQY+FyMwyk0kvE8OemUSzZ83Qvf5+fTZrzfR35ykkA/mxOE24fGr9vJXp8XZP+w3E6B0vR2KXmtewLfZusuHtusw5rzJSiqegyrec3XunwqO6c8lzcKJX17+/8Cp4W6vcFQUzF+otAw58lQ00gJ9YHBYDB4Yv5Jh4Y5T4aahCnQeBAPz5KI3ODjGLOcPIbBUF2pqW6imppvgyEcjMvJg3h4llT1RSzFgcFgCIOa6iaqqfk2GMIlLgWaAP6ni4FHsGqKSoCxqvpNGOmWqGqWx+exQE9V9dnfJcLYLwX+gjWZ4FFgqar+wV43AbjD3rQEa4K9fHtdsR3LLvtznr3e5xNJREYBk7E6EB8Ebrb7+USN8TilJt6OppK9R1kx/6vKjqYw3StB/UtJSjK7iWKJr3xnEZuO+dXRsZRKpOq9WYUE+qBi3uTk5X/KAQYA39urnwZGqWou8Apwd6zjCQcR6QLMBEaraiegJ/b4WBEZgjUbcV9V7Yg12uv/7GHikfAtcKGqZmMVoJ6JNn4Xnu6UcPH0OBnii8vRtG3zHt6ZuY5jR8rZtnmPu5Djdq+U/FzZvVKU7zdNl3PG+5XMzhnP6fzrZtRNmmn8Y42/fO8/uj8mx4vmOWGInlS8N6sQwTPJSeLRhyaQ/0mxhimDNSLoRx/7R4SI/EpEPheRL0XkIxE52V7eRETesj1Pq0QkJ0AydwIPquoWO/bjqvq0vW4yMMlVA6Oqa7GakiJqtlLVlfZkfwCrcGjEk/E4pT4uR1NampfHoBq4V4KR7G6iWBEo37sO73I838axZHCEBD+TwnI5RXSAAP4nEemHJbE8DBwAzvWed0VEegK/VdUqA/rtOWs2eCxqAixS1VtEpDGwT1VVRG4CzlbVP9iqg12qOk1E+gOP2jVEvmJfC9zgq+lHRPYAp6vqfo9ll9vbXxFuk5NX2n8EOvrJc1gup+rucYJq7HLycjSRWQZlmSccTRG4VwL6l5LAOeOipKSEOvXqxNVNlCwup2BOpizNYq/uddTJFOlzItnuvWSKJ9xYYnlvxu28hPhMSgqXUyQE8T/dDlxm96eZBDyK1+RzthDS3+xEhz0LI64+NPbH0+xjnQrUwmrSAWvG3l/baS8VkaYi0jDaCex8EMz/5BMRuQi4ESvOqgmE4XLq2uv8au9xgurrcvJ2NNXpsJvSLU1OOJoicK8E9C8lgXPGhes7TQWHkwsnXU6B8p13NI9Tsk9xLN/ROJaS7d5LpnjCjSWW92bczkuIz6SkcTlFgi//k4g0B7qq6uf2Zq8RYNK+CHgKmGn3SfkNEEmP1k1ADz/rNvtY1wNrtl8I7n+qgt389RxwuapG3XBqPE7VA5ejqaLCqzxcDdwrwUhmN1EsCZTvZnWbOZpv41gyOEaCn0kxr6EJ4H/aCzQSkbNU9StgIPBvBw/dCPjBfn+9x/LlwCgs31MeVvOTv9qZR4A3RWSFqn5laxIm2ALKh4GHRGSwqu4WkVxgGNDf3jcfGAPcKyLpWPqFt/wFKyK/AN4ExtjnI2qMxym18XY0vf/PnbTo1OSEoykC90pA/1KSkqxuoljjL99Z3zvbdFCdHUupRCrem1VIsA8qHsO2ffqfVLVcRMYDb4hIBVYBZ5z3zoH60ARhKjBfRPYCS4HTPZa/ICLrgVIqF3YqoarrbafSP0SkHlaT0WJ73SLbTfWpiGQAp2DVOLmuyL8AT4vIOqweD+8TWIB5L9AUmG07qMqjac8H43FKdbwdTVmNa9M3z8vTFKZ7JaWGf3qQjG6ieOAr3/nf5zt6jOrsWEolUvXerEICfVDx6EPj1/+kqguBhUH299uHxnMOGvvzHGCO/f5t4G0f++wBrgga+IntF2MXYnys+zvwd7tA8yJwv4iMVov9WHPvhHqcmwggrzQYajo11U1UU/NtMISLmSnYAVS1HKt5yWAwxJCa+k+9pubbYAgH43Iivn4l43IyGOKD8R+FjzlnhlTGFGiw/Eqqmuv1ionXKZ7HMhhqKouLFnPjkhur7cR7scCcM0Oq41iTUwBfU39gBtZcMAXAjXYTTShpzgNWuGbnFZFzgGeBHqpaFkWseXhNcicic4DFqrpARPKxZjg+bK/+RlWH2yO2/hc4CaiNNWLqDeAhe7szsUZWHQbWAxOB/4ele9iH5Wia7DFU3TOmOsAndroZwAJ7mHtUhOtnMe6mmoO3K2rV20UAlV1RIVDFQVNWCof3kVG7nDY3dorrKAeoud6naIj3OTPeKGeJiQcqgU6mSHGkQOPlazoqIs2AWvYw57nAxfaw5/uxRhU9H2LSdwCficgCrHldZgIToynMhMEou0OyJ08Cj9kdjhGRbFXdAHxgf87HKiitsT+/ijWhX3tVrRCR04FOfo53FOhvT0SYCawQkfdUdVU0mfD0s4QyBNPT3dQmOzeaQxuSHJcrCmDn9yUcPuia7v6bSqOrguFy0ABweB/s2QV10ygvTTvhchn8UFweht7KgIy0DFOoCUIizlm4zyVDYCrdg57LfQwDDwmXkymjbmUnU5zu40hxqsnJn6+pKXDMY16VD7Fn6Q0FVf0Jq3bnYeC3WLUe20VkuYistV/nA4jFIyKyUUQ2iMhIh/LmyamAe7YpuzDjExFpB5wD3K2qFfb236rqP31tb4+MKrE/ZtqvqLwU4fhZjLup5uJyRdWtnxl842Ac+AEkDdJsPUYcXS411fsUDYk4Z8YblQKkqCfOEZeTP1+TWBOqFAO/VtU1IvIEVi1Ettf+LYHnVPUyH2mnAZ8BLbC0BoexJuo7IiLtgX+oak8R+TVWoWcw0Az4AjhHVXf4SDOP8JqcPlTVSSJyA/A4sBJYAryoqvs80si3010jIkOxvE7DQjuLYE/AV4DVdDVLVSf72CZkl9MRaoXsZ0kld5M3yeRviSWO59PLFeX663ZFhUglB82xUusBCOhxpXZz+3oL4JfyRbh5DeY/CsX7lCwup2A4dR04cc4iiSVSb1QoJNOzIJ6xBPNAhR1LBJ64cEhql1MgX5OIXA08JiK1sQoBx33s/yNQpTBjr6sQkf/FEj3uFpFGwEx7Zt7jgKtuvC9W4eY48JOI/AvoBSzylay/rHi8r9LkpKovisgHWIWmy4HfiEhXV81UtNix59qTEC4UkS6qutFrm5B8MR8vXcbsDelh+VlSxd3kTTL5W2KJ0/n0dkXVrpdB6aGyE66oEKnkoPlpExw/BmnplJccp92EXwT1S/kikrwm2vvkpMspEE5eB9Ges3BjicYbFQrJ9CyIZyzBPFBhxxKBJy4ckt7l5MvXZC//TFX7qWpvrE6vkUzrX2G/wBJa/gR0xaqxieQu8PYsQQiuJbAKX6r6gqpejjXzcRc/m24Cutq1LmFh1/oswyo4RcTe0rKw/SzG3VQzcbmiDh9yoGtaw1agFVBh/26Jo8ulpnqfoiHe58x4o1KEFPXEOdUp2J+vCRFpoao/2zU0k4EHozxcI2C7XXNzPeAqMCzHqjGZi1U4uQCY5CeNr4GWInK2qv5bRNpgFZAKAx1YRAYDH6tqmYicgtVH6Adf26pqkYisAaaJyD2qqiLSFujsqx+NLessU9V9IlIXy231kPd2oXLoaDnHK2qF5Wcx7qaahbcrynOUUzhUcdBIM2uUU51y6xddHEdH1FTvUzTE85wZb1RscNwDlWAnU6Q4NWzbp6/JXjdJRIZg1QY9rapLvXcO1IfGB7Ox/E/XYfmRDtnLFwLnAeuwmo7uVNX/+krAHok1GnjRHi5dBtxk6wpczBMRVx+aXao6ALgEeEJEjrjy5u8YNjdhDdv+xk5rF/4LWacCc+0anTTgdVu7EBFtmtbj41/nhbWPcTfVLLxdUeE0M3mSbA6amup9ioZ4nTPjjYoNMbkHE+hkihSn+tAE8jVNwv8/cdc2fvvQ2OvncMLR9DWQ47F6sr1c7eMEPJZHmp8C5/pZl+dn+R1YQ8n9pZnn9fkAMD7EeNYD3ULZ1mAwBMb4j8LHnDNDqmNmCjYYDNUS8485fMw5M6Qy1VpOKSLZgHdd3FFVPScR8QCISFPgYx+rLlbVqlM9GgwGwPIMVad/uNUtPwZDoqnWNTSqusGHNylhhRk7pt0+Yso1hRmDwT/VzTNU3fJjMCQDcSvQiMhdIrJJRNbbhulz7OW3iMg3IqK2MsG1vYjIk/a69SLSPYJj/lFEttjH+0JErhORhfbnb0Rkv4fx+nwRyReRnva+p4vI1yIyyE/aeXbMv/JYttietA8RKfbKT56IBH16iUgvESkXkeHh5tcXew8d4+Z5BQmbjbPsyBHenfn/KDtyJPjG1YiK4xWsmP8VK+Z/Rfmx4+73Fccrgu8cD4ryYd5VfNe/C0V9cikakEfRpZe5X9+NGZPoCN14e4ZSvRCQivlJ9HOkJvHdmDGV7sVkvCcrYT9LmNnb+luUn7BQ4tLkJH5cT/bqT4HFQL7XbpcC7e3XOcDT9t9Qj/lbrKHPvVX1gIg0BIa5Zu71M1uw6+9pWCOo/qCqHwQ4zHbgLuCdUOMKEnM61lDtJU6kB4l3ptRUN5RTnqSY4OFpKT+SRka9CtBdkNUO6p4EROGAcZjq5mZK1fwk+jlSk3DcyxRLksz5FK8+NFVcT64VqvolnChMeHA58JI9emmViJwkIqf6Uhn44c9Anj3SyDXiaG6Isb4E3KWqvmYZ9mQdkCkiA1X1wxDjCsTvsOzdjoxt9HamDO9xWtzMtp8t+Af/Wbua8rIytxsqIzOTM7r35rzh18QlhmTA05PkyMR1TuDpaWGP5V2qwPIw2QWaZCCYZwiSuxDgTarmJ5HPEUOSU+lZwom/q2YnpEDjiMsp6EH8uJ68tinG0hvssj8vBqar6gr788fAZG8dgYi8izWHzI8eyxoC36mq92zAnvvlUbWGJh9rSPjdqhrQwuXaH0uc+RdVvdCOeYaq5vvIT5XjeaXXCngFSx3xArZXysd2MXE5OU083VDJ5G9x45AnyRPH8unhaTm68xiSbgekCrXqWW9tB0yiOHjwID8d/ykqz1C4xNLl5IQ3yUW8r/dA7qVku/eSKZ5IYwnmZYpnLEGJ0PmU1C6nYARyPTmQdiiT8YXDR8BoEZmjqqUhHP8TEUFE+nqv8rV5gKQexyqwVfiorfI8XsxcTk4TLzdUMvlbXDjlSfLEsXx6eFqKXtpGRla6pSpIrwUndwZOOGASRX5+PtJaEupmCpdg96ZTrql4Xu/B3EvJdu8lUzyRxhLMyxTPWIISofMp6V1OwfDnegrAD0Brj8+n4Ucz4ONYB4ASEYmksfdhLFP3fBEJtcD3IHC31zJvX1QwV1RP4FW7Zmc4MFtErgjx+FWIxOXkNMYN5bAnySk8PS1gFWa0wvIwJRHVzc2Uivkx7iVDQJLM+RSvTsF+XU8BWATcIiKvYnUG3h9G/xmAvwGzRGSk3Sk4C7hSVV8KYd/fYzX/PC8iYzVIu5yqLhGRv2D1v3GRD4wB7rU7+44G3gqQxumu9yIyB6vJye/2wYjE5eQ0NdkN5ZQnKSZ4eFoy6uyi/HAG1G0CJWVQYnU8jNgB4zDVzc2Uavkx7qX447iXKZYkmfMpXp2C/bqeRORW4E7gFGC9iLyrqjcB72LpEL4BSoEbfCXsqw+NzdP2cb8QkTIsX9P/CyVYWyR5Pdboq4cJTafwIPC2x+e/AE+LyDqsXhPvA/8XyvGdIBKXk9PUZDeUU56kmGF7WtqMSnQgwalubqZUyo9xL8WfZHOjBSWJnE/x6kMTyPX0JPCkj+UK/E8IafvsQ2Pv/7D98rU+H6+h4p4uJlU9hiWj9HfcSvvbI6LE4/N+4Npg8ftJe2wk+xkM1ZXq5hmqbvkxGJKBaj1TsMFgqD5Ut3/+1S0/BkOiqdYuJyewZwp+yGvxt64J+iJI7wbgNq/Fn6pq0Noog8FgMBgMvjEFmiDYMwUHmi043PReBF50Kj2DwWAwGAxxmljPEBtEZCf+R4s1I/Aw8epETclrTcknJCavbVTVkXagIPdmtCTTdZBMsUByxWNi8U+48YR0b5oCTTVFRNZEM+tpKlFT8lpT8gk1K6/hkkznJpligeSKx8Tin1jFYzoFGwwGg8FgSHlMgcZgMBgMBkPKYwo01ZdnEh1AHKkpea0p+YSalddwSaZzk0yxQHLFY2LxT0ziMX1oDAaDwWAwpDymhsZgMBgMBkPKYwo0KY6IDBaRrSLyjYhM8bF+rIjsFJFC+3VTIuKMlmD5tLe5SkQ2i8gmEXkl3jE6RQjf6WMe3+dXIrIvAWE6Qgh5/YWILBORL0VkvYj4VJ1UB6L53kXkehH52n5dnwTxHPdYtygOsfi9TkTkT/Z+W+2JUhMSi4i0FZHDHufl79HGEmI8bUTkYzuWfBE5zWOdo9dNlLFEf82oqnml6AtIB4qAM4BawDqgk9c2Y4GZiY41DvlsD3wJNLY/t0h03LHKq9f2vwNeSHTcMfxenwFutt93AooTHXeyfe9AE+A/9t/G9vvGiYrH/lySDNeJ/X4dUBs43U4nPUGxtAU2xvu6AeYD19vv+wMvx+K6iSYWp64ZU0OT2vQGvlHV/6gl03wVuDzBMcWCUPI5HpilqnsBVPXnOMfoFOF+p9cA/4hLZM4TSl4VaGi/bwT8GMf44kk03/sg4ENV3WNf/x8CgxMYj9NEc51cDryqqkdV9VvgGzu9RMQSC0KJpxOw1H6/zGO909dNNLE4ginQpDatgO89Pm+3l3nza7uKb4GItI5PaI4SSj7PAs4SkU9FZJWIRPtATxShfqeISBusX51Lfa1PAULJ61RgtIhsB97FqgmojkTzvYe8b5ziAagjImvse/GKOMQyFd/XidPnJtpr9nS7KepfItIvijjCiWcdcKX9fhjQQESahrhvvGIBB64ZU6Cp/rwDtFXVHKwS+NwExxMrMrCanfKwfi0+KyInJTKgOHA1sEBVjyc6kBhyDTBHVU8DLgNeFpGa/txKtu/dVzxt1JoJ9lrgcRFpF+MYkuk68RfLDuAXqtoNuAN4RUQaBkjHKf4IXCgiXwIXAj8Aibp2AsUS9TVT0x8Mqc4PgGeNy2n2MjequltVj9ofnwN6xCk2JwmaT6xfA4tUtcyuWv4Kq4CTaoSSVxdXk7rNTRBaXm8EXgdQ1c+AOlgemOpGNN97OPvGIx5U9Qf773+AfKBbjGPxd504fW4ijsVu9tptLy/A6m9yVhSxhBSPqv6oqlfaBam77GX7QsxLvGJx5ppxsoOSecX3hVUr8R+s6l5XJ6zOXtuc6vF+GLAq0XHHKJ+Dgbn2+2ZYVZ9NEx17LPJqb9cRKMaeSyoVXyF+r+8BY+33Z2P1R0jZPMfie8fq1PktVsfOxvb7JgmMpzFQ237fDPiaAB2KY3mdAJ2p3Cn4P0TXKTiaWJq7jo3VcfaHeHxP9neQZr9/ELg/FtdNlLE4cs0k/EY2r+heWFWaX2GV9u+yl90PDLXf/w3YZF9cy4COiY45RvkU4FFgM7ABuDrRMccqr/bnqcD0RMcah++1E/Cpff0WApckOuZk/N6BcVgdXr8BbkhkPMD59j24zv57YyKvE6yagCJgK3BpomIBfm0/iwuBtcCv4vE9AcOxCghfYdXS147VdRNpLE5dM2amYIPBYDAYDCmP6UNjMBgMBoMh5TEFGoPBYDAYDCmPKdAYDAaDwWBIeUyBxmAwGAwGQ8pjCjQGg8FgMBhSHlOgMRgcxMsYW2gbdpva9t0SEZmZ6BgNhpqIuTerPxmJDsBgqGYcVtVczwUiUh+4B+hivwwGQ/wx92Y1x9TQGAwxRlUPqeoK4EiiYzEYDCcw92b1wtTQGAzOUldECu3336rqsEQGYzAY3Jh7s5pjCjQGg7NUqdY2GAxJgbk3qzmmyclgMBgMBkPKYwo0BoPBYDAYUh4jpzQYHERESlQ1y8fyYqAhUAvYh2Xg3Rzf6AyGmou5N6s/pkBjMBgMBoMh5TFNTgaDwWAwGFIeU6AxGAwGg8GQ8pgCjcFgMBgMhpTHFGgMBoPBYDCkPKZAYzAYDAaDIeUxMwVXUwoKCk5LS0tbUlFR0RGQRMdjMCQYTUtL21JRUXFJjx49tjuduLnfDIaYE/QeNgWaakpaWtqSU045pf3JJ58saWmmIs5Qs6moqJAdO3Z0+O6771YPHTr00kWLFq1zMn1zvxkMscV1D2/btu3zoUOH9lq0aNGP3tuYO6+aUlFR0fHkk0/OMA9XgwHS0tI49dRT02rVqnUq8IehQ4d2dzJ9c78ZDLHFdQ9nZma2BP40dOjQ5lW2SUBchvhgfikaDB6kpaUhIgD7gb4OJ2/uN4Mhxnjcw1lA+yrr4x6RweDF1KlTmTFjBgBjx45lwYIFCY6o5pGVVWVG+Cp4fk8Aq1atYvz48QH3+etf/xp1bABz586lffv2tG/fnrlz5/rcZv78+XTu3Jm0tDTWrFkTKLlyoI4jgSUx3t+XN2+99RabN0c2w/++ffuYPXu2+/OPP/7I8OHDI0ormdhZutORdLzPjz+Ki4t55ZVXQtquS5cuQbdz8vnpHduaNWu49dZbHUnbAQTI9F5oCjSGlKa8vDzRIdRY3nvvPQYPHhxwGycKNHv27GHatGl8/vnnrF69mmnTprF3794q23Xp0oU333yTCy64IOpj1gScLNC0bNky5X+ILC5azI1LbmRx0eKo03K6QBMrAj0/vWPr2bMnTz75ZDzCihhToDG42XvoGDfPK2Bf6TFH0nvppZfIycmha9eujBkzhuLiYvr3709OTg4XX3wx27ZtC7j//fffT69evejSpQsTJkzA5R3Ly8vj97//PT179uSJJ55wJNZ48t2YMRRdelmV13djxkScZnFxMR07dmTUqFGcffbZDB8+nNLSUgCmTJlCp06dyMnJ4Y9//CMA3377Leeddx7Z2dncfffdftN98MEHOeuss+jbty9bt26ttO7jjz9mwIABlJaWctVVV9GpUyeGDRvGOeecw5o1a5gyZQqHDx8mNzeXUaNGAVWviVD44IMPGDhwIE2aNKFx48YMHDiQ999/v8p2Z599Nh06dAgpzWTA6fsNfH9fRUVFDB48mB49etCvXz+2bNnCypUrWbRoEZMmTSI3N5eioiKf2wH89NNPDBs2jK5du9K1a1dWrlzJlClTKCoqIjc3l0mTJlWqQThy5Ag33HAD2dnZdOvWjWXLlgEwZ84crrzySgYPHkz79u258847Hct3tCwuWsyzG56lfmZ9nt3wbNSFGu/zo6pMmjSJLl26kJ2dzWuvvebebvny5eTm5vLYY49RXFxMv3796N69O927d2flypUBj6Oq3HLLLXTo0IEBAwbw888/u9e1bduWXbt2AVbtSl5eHmDV3I0ZM4Y+ffq4n8u+jukdW35+PkOGDAGsHxlXXHEFOTk5nHvuuaxfv96d9rhx48jLy+OMM86IewHIjHIyuFlQsJ21xXtZULCdm/qdEVVamzZt4oEHHmDlypU0a9aMPXv2cP3117tfL7zwArfeeitvvfWW3zRuueUW7r33XgDGjBnD4sWL+dWvfgXAsWPHgjUrJC3lu3aT0bxKfzbKd0ZX3b1161aef/55+vTpw7hx45g9ezY33HADCxcuZMuWLYgI+/btA+C2227j5ptv5rrrrmPWrFk+0ysoKODVV1+lsLCQ8vJyunfvTo8ePQDYtWsXmZmZNGrUiBkzZtC4cWM2b97Mxo0byc3NBWD69OnMnDmTwsJCwPc1ATBv3jweeeSRKsc/88wzWbBgAT/88AOtW7d2Lz/ttNP44YcfojpXyYCT9xv4/74mTJjA3//+d9q3b8/nn3/OxIkTWbp0KUOHDmXIkCHupqKLL77Y53a33norF154IQsXLuT48eOUlJQwffp0Nm7c6P5ui4uL3XHMmjULEWHDhg1s2bKFSy65hK+++gqAwsJCvvzyS2rXrk2HDh343e9+V+m7TQSuwkzD2g3JTMskIy2DZzc8C8CQdkMiStP7/LzxxhsUFhaybt06du3aRa9evbjggguYPn06M2bMYPFiqwBVWlrKhx9+SJ06dfj666+55pprAj7nFi5cyNatW9m8eTM//fQTnTp1Yty4cUHj27x5MytWrKBu3bp+j+kdW35+vnv/++67j27duvHWW2+xdOlSrrvuOndet2zZwrJlyzh48CAdOnTg5ptvJjOzSutQTDAFGgNg/Vpc+OV2TjmpDm+u3c7wHqdxUr1aEae3dOlSRowYQbNmzQBo0qQJn332GW+++SZgFVCC/UJbtmwZDz/8MKWlpezZs4fOnTu7CzQjR46MOLbqSuvWrenTpw8Ao0eP5sknn+T3v/89derU4cYbb2TIkCHuX1iffvopb7zxBmB9F5MnT66S3vLlyxk2bBj16tUDYOjQoe51S5Ys4ZJLLgFgxYoV3HbbbYDV7JOTk+MzPl/XBMCoUaPcNTg1BafvN/D9fR05coSVK1cyYsQI93ZHjx6tsm9JSYnf7ZYuXcpLL70EQHp6Oo0aNfLZ5OdixYoV/O53vwOgY8eOtGnTxl2gufjii2nUqBEAnTp14rvvvktogca7MAOQmZZJw9oNoy7UeLJixQquueYa0tPTOfnkk7nwwgv54osvaNiwYaXtysrKuOWWWygsLCQ9Pd193vzxySefuNNt2bIl/fv3DymeoUOHUrdu3YiO6cqP6/nRv39/du/ezYEDBwD45S9/Se3atalduzYtWrTgp59+4rTTTgsprmgxBRoDYP1aLK9QGmamc/jYccd+NUbKkSNHmDhxImvWrKF169ZMnTqVI0eOuNfXr18/YbElK3bv/0qfMzIyWL16NR9//DELFixg5syZLF261Of24fDee+9xxx13RBWvi2A1NK1atar063D79u3u6vNUJV73W0VFBSeddJL713O020VL7dq13e/T09MT2gduZ+lOntnwDPUz67sLMy4y0zKpl1mPZzY8wzmnnkPzelVrVGPBY489xsknn8y6deuoqKigTp3I+65nZGRQUVEBUOnZCZWfn04eExL7HZs+NAb3r8UGdazybYM6Gby5dntUbfv9+/dn/vz57N69G7DaXM8//3xeffVVwPon1q9fP7/7u27AZs2aUVJSkvIdDuPBtm3b+OyzzwB45ZVX6Nu3LyUlJezfv5/LLruMxx57jHXrrPnk+vTpU+m78MUFF1zAW2+9xeHDhzl48CDvvPMOYLXbr1+/3t201KdPH15//XXAqsresGGDO43MzEzKysoA39cEWDU0hYWFVV6u73zQoEEsWbKEvXv3snfvXpYsWcKgQYMcO2/xJhb3G/j+vurVq8fpp5/O/PnzAeu7c10DDRo04ODBgwA0bNjQ73YXX3wxTz/9NADHjx9n//79lfb1pl+/fu5r6quvvmLbtm1J2bepeb3mTMieQGlZKWUVZZXWlVWUUVpWyoTsCREVZrzPT79+/Xjttdc4fvw4O3fu5JNPPqF3795Vttu/fz+nnnoqaWlpvPzyyxw/fjzgcS644AJ3ujt27HD3VwKrD01BQQGAuzbFF/6OGep3nJ+fT7NmzarUNiUCU6AxuH8tZqZbl0NmehrlFcqCgshniO/cuTN33XUXF154IV27duWOO+7gqaee4sUXXyQnJ4eXX345YIfek046ifHjx9OlSxcGDRpEr169Io6lptChQwdmzZrF2Wefzd69e7n55ps5ePAgQ4YMIScnh759+/Loo48C8MQTTzBr1iyys7P99kfp3r07I0eOpGvXrlx66aXu76CgoIBu3bq5a3gmTpzIzp076dSpE3fffTedO3d2NytMmDCBnJwcRo0a5fOaCIUmTZpwzz330KtXL3r16sW9997rbq666aab3H0MFi5cyGmnncZnn33GL3/5y6Qt9MTifgP/39e8efN4/vnn6dq1K507d+btt98G4Oqrr+aRRx6hW7duFBUV+d3uiSeeYNmyZWRnZ9OjRw82b95M06ZN6dOnD126dGHSpEmV4pg4cSIVFRVkZ2czcuRI5syZU+lXezIxpN0QxmeP58DRA+5CTVlFGQeOHmB89viIm5u8z8+wYcPcneH79+/Pww8/zCmnnEJOTg7p6el07dqVxx57jIkTJzJ37ly6du3Kli1bgtZEDxs2jPbt29OpUyeuu+46zjvvPPe6++67j9tuu42ePXuSnp7uNw1/x/SOzZOpU6dSUFBATk4OU6ZM8TuVQrwR18gRQ/WioKBAXR04g3HjnC8o3n2oyvK2Tevz/FhTkHCa78aMoXzX7irLM5o1pc3LL0eUZnFxMUOGDGHjxo3RhheUBx54gDPPPJOrr74asH61l5WVUadOHYqKihgwYABbt26lVq3o+oTEgoKCAqZNm/Y4sGPRokUPO5iuud9SGFdfmnqZ9SgtK42qMGOILfY9PBd4cdGiRf/yXGf60BjMQzTORFpoSRa8h3mXlpZy0UUXUVZWhqoye/bspCzMJAvmfks+XIWXZzY8w4TsCaYwk6KYAo3BUA1o27ZtXGpnfNGgQYOUHUJvMLgY0m5IXDsAG5zH9KExGAwGgwFMYSbFMQUag8FgMBgMKY8p0BgMBoPBYEh5TIHGYDAYDAZDymMKNIYaR6INt8lIVlZW0G2mTp3KjBkz3J9XrVrF+PHjA+7jhG0bYO7cubRv35727dv7nfNi6tSptGrVitzcXHJzc3n33XcdOXZ1Zc2aNdx6662ApTkYMGAAubm5bnGiU/z4449uX1RhYaH5XrwIdu95m7s9z6eTjB071rEJTL2fsZ7XWiwxBRpDjcMUaJzhvffeY/DgwQG3caJAs2fPHqZNm8bnn3/O6tWrmTZtml+X0O233+6eafiyyy6L+tjVmZ49e7ptyF9++SVgFThC9aQFm8XWRcuWLd3/KGtigUZV3QqCSPAu0Hiez0QSSGng/Yz1vNZiiSnQGCyK8mHeVTCzt/W3KD+q5A4dOsQvf/lLunbtSpcuXXjttdcoKCjgwgsvpEePHgwaNIgdO3YA8MUXX5CTk0Nubi6TJk2iS5cuAMyZM4crrriCgQMH0rZtW2bOnMmjjz5Kt27dOPfcc91T5xcVFTF48GB69OhBv3792LJlC2D94rj11ls5//zzOeOMM9wPgSlTprB8+XJyc3OrzIAZDyqOV7Bi/lesmP8V5ceOu99XHI/8oVdcXEzHjh0ZNWoUZ599NsOHD6e0tBSw8tupUydycnL44x//CMC3337LeeedR3Z2dpV5ZTx58MEHOeuss+jbty9bt26ttO7jjz9mwIABlJaWctVVV9GpUyeGDRvGOeecw5o1a5gyZQqHDx8mNzfXLZ986aWX3DOmjhkzJqS8ffDBBwwcOJAmTZrQuHFjBg4cyPvvvx/JaUoeHL7fwLoGXPcOwIwZM5g6dSp5eXlMnjyZ3r17c9ZZZ7F8+XLAmrJ+yJAh/Pzzz4wePZovvviC3NxcioqK+Pjjj+nWrRvZ2dmMGzfOLaps27YtkydPpnv37syfP5+2bdvypz/9idzcXHr27MnatWsZNGgQ7dq14+9//3uluI4dO8a9997La6+95q4Jat++PTtty3xFRQVnnnmm+3O8+G7MGIouvazK67sQr09fFBcX06FDB6677jq6dOnC999/zyOPPEKvXr3Iycnhvvvuq7JPSUkJF198Md27dyc7O9s9U/OUKVMoKipyPx89v+dzzz2XTZs2udPIy8tjzZo1HDp0iHHjxtG7d2+6devmTssTVeWWW26hQ4cODBgwgJ9//tm9rm3btuzatQuwaldc7rSpU6cyZswY+vTpw5gxYyguLqZfv350796d7t27s3LlSnfMns9Y17UG1g+UK664gpycHM4991zWr1/vTnvcuHHk5eVxxhlnRFQAMgUag/UwfX8ylPwM9Ztbf9+fHNVD9v3336dly5asW7eOjRs3MnjwYH73u9+xYMECCgoKGDduHHfddRcAN9xwA//7v//rtr16snHjRt58802++OIL7rrrLurVq8eXX37Jeeed5zYAT5gwgaeeeoqCggJmzJjBxIkT3fvv2LGDFStWsHjxYqZMmQLA9OnT6devH4WFhdx+++0R5zFSVr75Dds272Hb5j28M3Od+/3KN7+JKt2tW7cyceJE/v3vf9OwYUNmz57N7t27WbhwIZs2bWL9+vXuwsttt93GzTffzIYNGzj11FN9pldQUMCrr77q/lX9xRdfuNft2rWLzMxMGjVqxOzZs2ncuDGbN2/mL3/5i9sfM336dOrWrUthYSHz5s1j06ZNPPDAAyxdupR169a51Rfz5s1zNxN5vlzV6j/88EMlI/Npp53mV9cwc+ZMcnJyGDduXEAjdEKJwf0WjPLyclavXs3jjz/OtGnTKq1r0aIFzz33nPueaNWqFWPHjuW1115jw4YNlJeXu11OYE3rv3btWvdM0b/4xS8oLCykX79+7maLVatWVfmnXatWLe6//35GjhzprgkaPXq02wn00Ucf0bVrV5o3j+/Q6fJdu8lo3rzKy9ds3uHw9ddfM3HiRDZt2sTWrVv5+uuvWb16NYWFhRQUFPDJJ59U2r5OnTosXLiQtWvXsmzZMv7whz+gqkyfPp127dpRWFhYReI6cuRIt0dtx44d7Nixg549e/Lggw/Sv39/Vq9ezbJly5g0aRKHDlWenXrhwoVs3bqVzZs389JLL7kLI8HYvHkzH330Ef/4xz9o0aIFH374IWvXruW1115zNysFesbed999dOvWjfXr1/PXv/6V6667zr1uy5YtfPDBB+6aWJcHLlRMgcYAq2ZDRl2onQUi1t+MutbyCMnOzubDDz9k8uTJLF++nO+//56NGzcycOBAcnNzeeCBB9i+fTv79u3j4MGDbgfJtddeWymdiy66iAYNGtC8eXMaNWrEr371K3f6xcXFlJSUsHLlSkaMGEFubi6/+c1v3DU/AFdccQVpaWl06tSJn376KeL8xIK69TM5WlJG3fqZwTcOgdatW9OnTx8ARo8ezYoVK2jUqBF16tThxhtv5M0336RevXoAfPrpp1xzzTUAfmtKli9fzrBhw6hXrx4NGzZk6NCh7nVLlizhkksuAWDFihXuf25dunQhJyfHZ3pLly5lxIgRNGvWDMDtYwompwyVm2++maKiIgoLCzn11FP5wx/+ENb+cSMG91swrrzySgB69OhBcXFxwG23bt3K6aefzllnnQXA9ddfX+mfr3eTlOu6yM7O5pxzznHfr7Vr12bfvn0BjzVu3Dj3D5MXXniBG264IZxsJTVt2rTh3HPPBaz7ZcmSJXTr1o3u3buzZcsWvv7660rbqyp//vOfycnJYcCAAfzwww9Bn1lXXXWV+z55/fXX3T8ClixZwvTp08nNzSUvL48jR46wbdu2Svt+8sknXHPNNaSnp9OyZUv69+8fUr6GDh1K3bp1ASgrK2P8+PFkZ2czYsQINm/eHHT/FStWuJ85/fv3Z/fu3Rw4cACAX/7yl9SuXZtmzZrRokWLsJ/ZZqZgA+wttn4pelKrvrU8Qs466yzWrl3Lu+++y913303//v3p3Lmz2wbtItgDz1Nql5aW5v6clpZGeXk5FRUVnHTSSRQWFgbdP1m8Zede3o6d35dwtKSMOlmZHCkpo26DWpx7Rbuo0nXJIj0/Z2RksHr1aj7++GMWLFjAzJkzWbp0qc/tw+G9994LWS4ZjHnz5lX55Qlw5plnsmDBAlq1akV+fr57+fbt291V4J6cfPLJ7vfjx493V3EnHTG43wAyMjIq9dVwGevhxH2Qnp4esO9DKHgLEz3vSe/7NdixWrduzcknn8zSpUtZvXq1X/N7KuJ5nlSVP/3pT/zmN7/xu/28efPYuXMnBQUFZGZm0rZt20rfoS9atWpF06ZNWb9+Pa+99pq7mU9VeeONNyK2nHteS94xeObrscce4+STT2bdunVUVFRQp06diI7nwvP6ieRaNTU0BmjcFo55yfKOHbKWR8iPP/5IvXr1GD16NJMmTeLzzz9n586d7gJNWVkZmzZt4qSTTqJBgwZ8/vnnALz66qthHadhw4acfvrpzJ8/H7Bu5HXr1gXcp0GDBhw8eDCCXDnDqreLOHzwGLXrZXCkpIza9TI4fPAYq94qiirdbdu2uc/vK6+8Qt++fSkpKWH//v1cdtllPPbYY+5z06dPH/e59vdP5IILLuCtt97i8OHDHDx4kHfeeQewzvH69evJzc11p+Wq9t68eTMbNmxwp5GZmemuNu7fvz/z589n926rKt/VBypYDc2gQYNYsmQJe/fuZe/evSxZssSnSduzZm7hwoWV+pMkFTG438Aq0P3888/s3r2bo0ePsnjx4ojS6dChA8XFxXzzjdUE+vLLL3PhhRdGFZsLX/feTTfdxOjRoxkxYkRAK3QqM2jQIF544QVKSkoAqxnVs88KwP79+2nRogWZmZksW7aM7777Dgj+vBo5ciQPP/ww+/fvd9eODho0iKeeesr9I87V6duTCy64gNdee43jx4+zY8cOli1b5l7Xtm1bd9PxG2+84ffY+/fv59RTTyUtLY2XX37Z3VE8UMz9+vVzP3Py8/Np1qwZDRs29HuMcDAFGgOcOxHKD8PRElC1/pYftpZHyIYNG+jduze5ublMmzaN+++/nwULFjB58mS6du1Kbm6uu832+eefZ/z48eTm5nLo0CEaNWoU1rHmzZvH888/T9euXencubPPDnCe5OTkkJ6eTteuXRPSKdjF4UNl1M7K5PCh8NqJ/dGhQwdmzZrF2Wefzd69e7n55ps5ePAgQ4YMIScnh759+/Loo48C8MQTTzBr1iyys7P99kfp3r07I0eOpGvXrlx66aX06mVJFQsKCujWrZu7hmfixIns3LmTTp06cffdd9O5c2f3dzhhwgRycnIYNWoUnTt35q677uLCCy+ka9euIdfwNGnShHvuuYdevXrRq1cv7r33Xndz1U033eT2SN15551kZ2eTk5PDsmXLEvrdBiQG9xtYhcd7772X3r17M3DgQDp27BhROnXq1OHFF19kxIgRZGdnk5aWxm9/+9uoYnNx0UUXsXnz5krDw4cOHUpJSUm1am7y5pJLLuHaa691d8QfPnx4lX/4o0aNYs2aNWRnZ/PSSy+5v7+mTZvSp08funTpwqRJk6qkPXz4cF599VWuuuoq97J77rmHsrIycnJy6Ny5M/fcc0+V/YYNG0b79u3p1KkT1113nbvZH6x+Lrfddhs9e/YMWMicOHEic+fOpWvXrmzZssVdexPoGTt16lQKCgrIyclhypQpfqdhiARJlmp4g7MUFBRojx49Qt+hKN9qw99bbP1SPHcitMuLTXBelJSUuOdimD59Ojt27HB3GK2OVByvcHcAPvfydqx626qZOf/KM0lLj+w3RnFxMUOGDImLoPKBBx7gzDPPdPebOX78OGVlZdSpU4eioiIGDBjA1q1bk9K4XVBQwLRp0x4HdixatOhhB9NNmfst2VizZg233367e/RVvPluzBifHYAzmjWlzcsvJyAiQyDse3gu8OKiRYv+5bnO9KExWLTLS9gD9Z///Cd/+9vfKC8vp02bNsyZMychccSLtPQ0+o44y/3Z830q4D3Mu7S0lIsuuoiysjJUldmzZydlYSapSOD9lkxMnz6dp59+OqF9Z0yhpfpgCjSGhDNy5MiQJ/My+KZt27ZxqZ3xRYMGDdzNPgZDOEyZMsU9nYLBEC2mD43BYDAYDIaUxxRoDAaDIXo0muntDQZDcCoqKgJOv2EKNAaDwRAlaWlpW/773/+Wm0KNwRAbKioq2LFjR8WRI0d2+dvG9KExGAyGKKmoqLjkp59+WvLjjz+eHc2EhQaDwTeqypEjR/a89NJLLwPNgAPe25gCjaESO0t30rxefF0qhsSTlZXlnvTLH1OnTiUrK8stuFy1ahXPP/88zz77rN99/vrXv/LnP/856vjmzp3LAw88AFijrK6//voq2xQWFvLb3/6WI0eOkJGRwezZs+ndu3fUxw6FHj16bAc6DR069CzgDsyz1WCIFY2BlcAG7xXmpjO4WVy0mGc2PMOE7AkMaZe4aePLy8vJyDCXZrLz3nvvMXjw4IDbOFGg2bNnD9OmTWPNmjWICD169GDo0KE0bty40nZ33nkn9913H5deeinvvvsud955ZyVlQjxYtGjRV0OHDp0CNMc06RsMseAw8MOiRYuOe68w/zUMgFWYeXbDs9TPrM+zG6xf3NEWah599FFeeOEFwJrR9Yorrqg0+duMGTMoKSlh6tSp5OXlkZuby4oVK7jmmmuSVyzoIGVHjvDhc7MYeNP/kBmlA6W4uJjBgwfTo0cP1q5dS+fOnXnppZeoV68eU6ZMYdGiRWRkZHDJJZcwY8YMvv32W6699lpKSkq4/PLL/ab74IMPMnfuXFq0aEHr1q3xnDzu448/5o477qC0tJSxY8eyceNGOnTowI8//sisWbNYsGABhw8fJjc3l86dOzNv3jxeeuklZsyYgYiQk5PDyyHMAfLBBx8wcOBA9+zAAwcO5P3333fLNV2IiFtyt3//flq2bBnJqYyaRYsW7QP2JeTgBkMNxhRoDO7CTMPaDclMyyQjLSPqQk1BQQEvvvgin3/+OarKOeecE9QHc+zYsRo1n8mPX2/hhy2b+fHrLbTJzo06va1bt/L888/Tp08fxo0bx+zZs7nhhhtYuHAhW7ZsQUTcMtDbbruNm2++meuuu45Zs2b5TK+goIBXX32VwsJCysvL6d69u7tAs2vXLjIzM2nUqBEzZsygcePGbN68mY0bN7odT9OnT2fmzJluceimTZt44IEHWLlyJc2aNXO7nILJKX/44Qdat27tXn7aaaf51DU8/vjjDBo0iD/+8Y9UVFS41RoGg6FmYAo0NRzvwgxAZlomDWs3jKpQs2LFCoYNG+Z2e1x55ZVBpzavKZPrfbbgH/xn7WrKy8pAlfyXniMjM5MzuvfmvOHXBE/AD61bt6ZPnz4AjB49mieffJLf//731KlThxtvvJEhQ4a4DdSffvqpWzo3ZswYJk+eXCW95cuXM2zYMOrVqwdYzh0XS5Ys4ZJLLgGs7/q2224DoEuXLm5BnjdLly5lxIgRNGvWDMBd4zJq1ChGjRoVcb5dPP300zz22GP8+te/5vXXX+fGG2/ko48+ijpdg8GQGpg23hrMztKdPLPhGepl1nMXZlxkpmVSL7Mez2x4hp2lOx053r59+/Ac1hpIS1+d6dJ/IA1bnEJFRQWNWpxs/T35FLL7XxJVut6ja0SEjIwMVq9ezfDhw1m8eHGlPi/RjMYJpf9MqMybN4/c3Nwqr+HDhwPQqlUrvv/+e/f227dvp1WrVlXSmTt3LldeeSUAI0aMYPXq1Y7EZzAYUgNToKnBNK/XnAnZEygtK6WsorLxuayijNKyUiZkT4ho1FO/fv146623KC0t5dChQyxcuJBLL72Un3/+md27d3P06FEWL17sVFZSigZNmpF7yWWUHz1C6YH9lB89SteBl5HVpGlU6W7bto3PPvsMgFdeeYW+fftSUlLC/v37ueyyy3jsscdYt24dAH369OHVV18F8OvRueCCC3jrrbc4fPgwBw8e5J133gGs4ZPr1693Ny316dOH119/HYDNmzezYcOJwQeZmZmUlVnXVv/+/Zk/fz67d1siQFeT06hRoygsLKzyWrBgAQCDBg1iyZIl7N27l71797JkyRIGDRpUJd6WLVvyr39ZrrqlS5fSvn37CM+kwWBIRUyTUw3H1Zzk2exUVlHGgaMHGJ89PuI+NN27d2fs2LHuYbM33XQTvXr14t5776V37960atWKjh07OpaPVGPbxnVkNW5K98uGsvbdRWzbuI7WnbKjSrNDhw7MmjWLcePG0alTJ26++Wb279/P5ZdfzpEjR1BVHn30UQCeeOIJrr32Wh566CG/nYK7d+/OyJEj6dq1Ky1atKBXr16A1bemW7du7hqeiRMncv3119OpUyc6duxI586dadSoEQATJkwgJyeH7t27M2/ePO666y4uvPBC0tPT6datW0gi0iZNmnDPPfe4j3/vvfe6m6tuuukmfvvb39KzZ0+effZZbrvtNsrLy6lTpw7PPPNMVOfTYDCkFhJoGmFD6lJQUKCeI1KC4epLUy+zHqVlpVEVZgzB2f3D99Rv1Jg6WVkcKSmh9MA+mrQ8LeL0iouLK40giyUPPPAAZ555JldffTUAx48fp6ysjDp16lBUVMSAAQPYunVrUhq3CwoKmDZt2uPAjkWLFj2c6HgMBoNzmBoaA3CipiYZ5qGpCTRtdWLUTp2sLOpkZSUwmvC4++67K30uLS3loosuoqysDFVl9uzZSVmYMRgM1RtToDG4GdJuCOeceo6ZKTgFadu2bVxqZ3zRoEGDGjXc3mAwJCemU7ChEqYwYzAYDIZUxBRoqi9qzL8GwwkqKiowfQYNhuqLKdBUU9LS0rbs2LGjwhRqDAarMLNjx46KI0eO7Ep0LAaDITaYPjTVlIqKiku2bdv2+Y4dO1pGM4GawVAdUFWOHDmy52VLHtUQKExwSAaDwWFMgaaa0qNHj+1Dhw7tDEwCTgFMXbvBAI2AncA7iQ7EYDA4i5mHppozdOjQOkBLIDPYtgZDDaAMaw6aw4kOxGAwOIsp0BgMBoPBYEh5TKdgg8FgMBgMKY8p0BgMBoPBYEh5TIHGYDAYDAZDyvP/AT/7QJyr6w2pAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x240 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "w={'detection':1.,\n",
    "   'uniformity':1.,\n",
    "   'total duration':1.,\n",
    "   'relative duration':1.,\n",
    "#     'boundary onset':1.\n",
    "}\n",
    "wsum=sum(w.values())\n",
    "total['our']=0\n",
    "for wi in w:total['our']+=w[wi]/wsum*total[wi]\n",
    "\n",
    "total=total.sort_values(['collar'])\n",
    "# total=total[-10:]#displays top 10 systems\n",
    "fig, axs = plt.subplots(1, 2, figsize=(8, len(total)/3), sharey=True)\n",
    "\n",
    "ind = np.arange(len(total))\n",
    "def myplot(ax,colis):\n",
    "    cols=total.columns[colis]\n",
    "    width = .9/len(cols)\n",
    "    marker = itertools.cycle(( '^', 'o', 'D', 's','X', '*'))\n",
    "    i=0\n",
    "    ax.grid(True)\n",
    "\n",
    "    for i,x in enumerate(cols):\n",
    "        if x=='y':continue\n",
    "#             ax.plot(total[x],ind+.2 ,label=x,marker=next(marker),alpha=.75)\n",
    "        ax.scatter(total[x],ind+.2 ,label=x,marker=next(marker),alpha=.75)\n",
    "#         ax.barh(ind+.4-i*width, total[x], width, label=x)#, color='red'\n",
    "\n",
    "    ax.set(yticks=ind + width, yticklabels=[f'S{len(total)-i} : {y.replace(\"_SED\",\"\")}' for i,y in enumerate(total.index)], ylim=[-.5, len(total)-.5])\n",
    "    ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.25),fancybox=True, shadow=True, ncol=2)\n",
    "    ax.set_xlabel('F1')\n",
    "\n",
    "print(total)\n",
    "myplot(axs[0],[0,1,len(total.columns)-1,2,4,5])\n",
    "# myplot(axs[1],[2])\n",
    "#     myplot(axs[1],range(len(total.columns)-9,len(total.columns)-1))\n",
    "#     myplot(axs[1],[8,11,12,13])\n",
    "myplot(axs[1],[8,9,10,11])\n",
    "\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualize in details"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-26T20:23:31.255512Z",
     "start_time": "2021-09-26T20:23:21.487740Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CTK_NU_SED_4\n"
     ]
    },
    {
     "data": {
      "image/png": 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NMbOxRSSVNE9vSXxuIVTEuwFvJNJtNLN98hxf1CjermDI6hrrn7TrA9eYFtKuMe36wDWmkbquZErahdC1/WvgUuAgYEdJn4z7e0oaZGZvEFopD4qHfrGU80ST9eclfSGmK0kN7RxWyMjdcRzHcRwn1dR7d/kQ4FJJLcD7wFcIS0leIakPQd9PgOXAScC1Me5DwJslnmsS8DNJ3yWsdX4rwVg+H22M3AuNy6wtc+Qc8d2MvaholdTYrqlutp46NEd2M/acR9SdGXtp8Qvoy1W2aTFjh/z3br3fp2Uy8q5pjfnIaPdnsZW6rmSa2b3AvTl2jcwRttzM9gWQdB6wMKYxnbCaTybNAYnt1n1m9jxholF2HiZnfe4d/+cycnccx3Ecx+kS1HUlE0DSVGCNmV2WZ/9RwDPAEEnfJmj+GzC5iLT7AhPN7Kr4eRfgCjM7tuCBJVJOQ9ZSzIDzkw4z9iS5TL/LZRqcoZIaSzO4hnozR842dC6ONUX/mi6WWtSYNgPozTLgL5JqmLGXauKdFjP2XPGzr0VHtNbjwgj19ixmKOXdVKrGuh6TWSRHAQPNbEacsDPYzD5vZq8WcWxf4LTMBzN7qdwVTMdxHMdxnDRSl5VMSedLekbSw8BeMWwTs3RJhwBHEMZtNsc4+UzVd5Z0RzR2XxKPvRjYPWHgPiBh4r6lpF9JeiIat4+J4ZMl3R7P8aykS6pykRzHcRzHcapI3XWXSxpKmB3eSMj/YmARwSz9VDN7Ns4iv8rMDpU0C5htZjPj8Q9kxyOMnbwCeMjMxkvqDvQmGKoPjgbumfXIM3wVMDMbEiuqf5C0Z9zXCOxHsDZ6WtJPzeyFylwRx3Ecx3Gc2qPuKpnACOAOM3sHIFYit6SwWToxbiFT9UOJq/uY2QbgTUmFnFKHE1YXwsyekvQ3IFPJfMDM3oznfBL4GNCmktkVDFldY/2Tdn3gGtNC2jWmXR+4xjRSl93lOWjPLL3UeJtL0px9Azkq813BkNU11j9p1weuMS2kXWPa9YFrTCP1WMmcCxwlaStJ2wLjgHfIb5beaorejqn6AwSfTSR1jz6bhQzV5xG8M4nd5LsBT5dVqeM4juM4Tp1Sd93lZrZY0gyCEforwIK4K59Z+q0EE/avA8cWiPcN4BpJJxFaH79iZo9Imh8n+9wN/G8iK1fFdJ4gGMBPNrP16oClSs2YXOeLnyYz9hA76CvWyLsGNHYFc+SO3Kf1Zsa+2c9iLtJqAJ2kghrdjL0T4mdrrUON/ixGStRYd5VMADO7CLgox65cZunzgYFFxHsZODJH+MSsoMExfB3wnzniT6etufvhOfLpOI7jOI6Tauqykpk23Ix9U9yMPX/cUo2D3Yy9eGpRY9oMoN2MPZBWM/Zc18HN2HNTK+XYZczYJa0pIs5USWcnPh8s6dp2jvlOmfJ3YvS+fFbSiXnifEHSckktkoaV47yO4ziO4zj1Rk1VMjvIvwH3tBNnsyuZkj4ETAEOAg4EpuSxOFoGHE2YoOQ4juM4jtMlKWslM66I85SkmyT9WdJMSVvHfRdLelLSUkmXxbCPS3okrppzYYF0N1nhJ8GngfslbS3pN/Ecd0j6k6Rhki4Gtoqr9twU0zsh5mOJpBuLlPevwH1m9pqZvQ7cR+6xnX82M59l7jiO4zhOl6YSYzL3Ak4ys/mSrgNOk/QrYDywt5mZpL4x7v8APzOzGyR9NVdiBVb4QVI/4H0zezN2ob9uZgMlDQaaAczsPEmnJ1btGQR8FzjEzFbFFkokTQLOyZGFv8T1yj9CW0P1F2NYh+gKhqyusf5Juz5wjWkh7RrTrg9cYxqpRHf5C3FGN8CvCSvjvAmsA34p6WiCryXAp4Bb4na+FsXWFX6iz+WsxL6xwB/i9nCCHRFmtgxYmie9Q4HbzGxVjPta/H9Tlkl75u/YopWXQFcwZHWN9U/a9YFrTAtp15h2feAa00glKpnZpkxmZh8QxjHOBA6n7RjKUoyqsilmPGZRSJoUu9Sz/2bGKP8Adk0c8tEY5jiO4ziO42RRie7y3SR90sweASYCD8c1w7c2s99Lmg88F+POJ3SF/5q4ek4O5gLTJf13zO844OcKruf7ErvFY1rHAXMkDQSGJNJ4X1JPM3sfeBC4Q9KPzWy1pA/FcZY3ATcV0HUv8IPEZJ+xwLeLuySFqXkDaDdjLyqam7Fn5cDN2HMd4WbsbWO7GXs2NXCfuhl7ziP8WYSSNVaiJfNp4KuS/gxsD/yMsDTjbElLgYeBM2Pcb8S4T5BnfKOZLQYyK/zczcYVfoYCj5u13r1XATtKehK4EFhO6KYHuAZYKukmM1tOMHJ/SNIS4MfFiIrd6t+P518AXJDpapf0i4xdkaTxkl4EPgncJeneYtJ3HMdxHMdJE5VoyfzAzP49K+wdQnd5G8zseUJlLMN3cyWYa4WfuCxksqt8HfDvZrZO0u7A/cDf4vHnAucm0rseuL5YQYnjrgOuyxF+cmL7DuCOUtItlyFrqWbA+UmHGXve67FoEYwprxE7lKaxdGPuEo1yL7us7Bpr0ai81s3YN70Hy2vGXusm19Ce0XX5Da7BzdizqYSJdzGm+vWgsTgjdqh3M/b2dVbmWawpn8xSzNjN7EIzuzVhxr41oWt+CaGSd5qZvReP6Uwz9qmS/pEY0/m5cpzbcRzHcRynnihrS6aZrSCu7d2J/Btwj5m9DeRbYec7wA825yQJM/ZhhMlKiyTNip6Z2VxuZpdtzvkcx3Ecx3HqGTdjL7MZu+M4juM4jlOZ7vK9gKvMbB/gLYIZ+w4EM/ZBZrYvYWIObDRjHwKszJVYlhn754ADEvtazdiB04hm7MD/I0wMwszOA96NnpeTEmbsh5pZA2HyUTEWRqWYsZ8eK7HXKffSk0g6RdJCSQvXvr02TzL1jWusf9KuD1xjWki7xrTrA9eYRtyMvfxm7D8DdidUilcCP8oVqSsYsrrG+ift+sA1poW0a0y7PnCNacTN2CPlMmM3s5fNbIOZtQDXkmNWveM4juM4TtqpRCVzN0kZW6KkGXsfM/s9cAbQEPdnzNihsBn7UZK2krQtwYydAmbs5DNjj9sPAl+IXfiZCT3FtGTeC4yVtH3sAh8bw9ogqX/i43hgWR5djuM4juM4qaUSPpkZM/brgCcJ3cd9gN9K2hIQbc3Yb5Z0LvDbXImZ2WJJGTP2Vyhsxn69ghn7U+Q2Y18cx2VmzNg3AI8Dk9sTZWavScqYsUOWGTtwtZktBC6R1EhooV0BfLm9tGt+lZG0rfgzlLKvFAOlayytXEpcjaGpqUushtMVNBaMn9Rfj89iKauogK/4E6mtMoQurTFJ2lf86cCz6GbsJVCkGft/lJru5hqylsNktVD8WjdjL9bIu5JG5dBWY3EGv+UxY89ZPnVgxr7ZRuUVMNWv9YURsqkVM/ZijLlzU3590Llm7B15/27uO7XSJt5zRv0utd8ZG8urfM9iZ9ynUOnv/vIb6kONmbFD8YbswDozuzV+Phj4JXnM2GOczjRkb5T0aBzTuVCSj8t0HMdxHKdLkQYzdggTgH5nZpMLxOlMQ/ZLgGlmdrfCij+XQEl9ZI7jOI7jOHVN2Vsy5YbsECqg28XtPsBLRabvOI7jOI6TCioxJhNCJfAkM5sfJwCdJulXhNnWe5uZSeob42YM2W+Q9NVciamtIXsPYDGwKO5rNWSXdDbRkF3SYOLMczM7T9LpZtYYj8kYsh9iZqsyM8wlTQLOyZGFv8RZ5sUasn8TuDdWpLsBh+TQdApwCsD2/XL6tdc9rrH+Sbs+cI1pIe0a064PXGMaqdSYzK5uyP4V4Awz25Vg2fTL7AhdwZDVNdY/adcHrjEtpF1j2vWBa0wjlapkdmlDduBE4Pa4fRtuyO44juM4ThejUpXMLm3IThiDOSpuHwo8m0eX4ziO4zhOKqnUmMyubsj+JeB/JPUgDBE4pVC6NW8AXQdm7CUZyVbAqByqaMaeS0tXMGOvgKl+zWmsQzP2si4ykF2+aTFj38x3ameYeFfsOwNqQmNZn8VOuE+hSs/iZhjqQ+UqmV3dkP1hwldgUXTEkHVE0bGhK5tcd5ZROeTWWNgst4Km1TVsxr65RuWVNNXvqMbizPehIwbQxb7Mi6W2TK7Lb+INlTVj3xyj8mrog661MEIln8VaLMdyf8eUS1uGSlUyOwUzy7Y82hqYE7vFRZYh++YQDeDXmNllkqYDs81sZuGjHMdxHMdxuiZlr2RW0ZAdM3ubYJReU0jqESc+OY7jOI7jdAlqblnJzibblD2ayT8Ywx6QtFs7x39P0gJJyyRdEycjIalJ0k8kLSSMO3Ucx3Ecx+kydOlKZsKU/VAzayBUBn8KXG9m+wI3AVe0k8yVZnaAmQ0GtiLYM2XoFf2wfpTj3KfEdc0Xrn17bVn01Bqusf5Juz5wjWkh7RrTrg9cYxrp0pVMcpuyfxK4Oe6/kWDwXogxcfnKJ2J6gxL7ZuQ7qCsYsrrG+ift+sA1poW0a0y7PnCNaaSuJ/5Um2jHdBUwzMxeiJODtkxESf/PFMdxHMdxnBx09ZbMXKbsf6StOfy8AsdnKpSrotl8qctPOo7jOI7jpJIu3ZJpZstzmLJ/DfiVpHOAV4H/LHD8G5KuBZYB/2SjSXtJdMSQtayGztmUYnJd66aznWRUDlU0Y4dN9aTZjL2Cpvo1ozERPzXPYjFxy2DiDZU3Y+/w+7eYsqzH+7SrLYxQhfsUOulZLPP7pktXMiGvKfuhOeJNTWxPTmx/lxwG8mY2utg8vPv+Bgacd9cm4Ssu/nyxSdQ8uTSmSR/kL8d8nDXkAyYXGT8Tt5rXzMtwI/Wsu9T7dPpn62/cWNrv1Uq+azojfjF01e/FQpRynWvlOnX17nLHcRzHcRynAngl03Ecx3Ecxyk7Xsl0HMdxHMdxyo5XMh3HcRzHcZyy45VMx3Ecx3Ecp+x4JdNxHMdxHMcpO17JdBzHcRzHccpOl/fJrAW2Yj1Pbzlx0x1T8xyw1zSYemTxJ8iOP/XNUrJXFnJqnFrggM3VWGzcMl6LVo1FptnU1MSKSaPLHrdSdEoZlmSOXH7yPovZTKUqz1E5yF2O+bU0NTVVNkMVoKR7tZLvmkz8Mt/X+b8zcpdjqe+PSsfXD9uPU/HvxdG/LT5uhWijsYj3SS18D5SKt2Q6juM4juM4ZccrmY7jOI7jOE7Z8Uqm4ziO4ziOU3Z8TGYdMn3mPYy5/a0Sjjij7cdpxS1sn48pU6YwderUzUqjM5jatI5pD72XY0/iemzmtUjyzPMvomlt06yXa1UJOnSfTjyj/WgJyn19W8uwGEq8d6ZMmcLo0aNLzlO5Wf36W2haVrlkaenK920p5H/HJCn+vp4yZcrmnT/HPVkr912l2HgNSnt3MG1Mh85Xzmejzfsmpc+gVzLrkMnHfpbpQx4pOn7TXtMY/XTi5dXOAOOmpqZUvJSmjt6SqaO33CS8zfUoYrC1VFxlYs+Pf5SnT3irbieElJsO3afHf7P4+BW4T1vLsBimvllyHmphEs0O22/Hqm9kBfo92yHyvWOSlHpfT5tW7K+cHOcvMPEnrWSuwSbfc+3QNPq3JT+7FX3fpPQZ9O5yx3Ecx3Ecp+x4S2Yt0HNrmPpC8fGbmuD4En71lBq/EtSSxkpdj1I11hudUYbVJu1lCK4xm0q/TytxX3sZbkotlEupdIFy9JZMx3Ecx3Ecp+zIzKqdhy6PpLeBp0s4pA9QSlNcJePvZWbbthepxjSWmnYtaKx0mberscbKsCPx066xFu7TUuPXwrNYS2UI6b9PIf0a/VnMYGb+V+U/YGGJ8a+plfjF5r2WNHYg7apr7IQybzfvtVSGrrHjea8ljbXwLNZSGRab91oqQ9fY8bzXksZKPYveXV6f/K7G4leCSua5FvRBZfNcCxr9Pu38+JUg7c+il2Hnx68ErnHz4ldEn3eX1wCSFprZsGrnoyMUm3fXWNsUk/d61gfp1+j3aenxapG036eQfo1+n27EWzJrg2uqnYHNoNi8u8bappi817M+SL9Gv09Lj1eLpP0+hfRr9Ps04i2ZjuM4juM4TtnxlkzHcRzHcRyn7Hgls8pI+qykpyX9RdJ51c5PsUi6TtIrkpa1E68u9YFrzIrnGmuUtOsD15gVzzXWKGnXB8VrbKWUKev+V94/oDvwV+ATQC9gCTCw2vkqMu8jgf2BZWnU5xpdY71oTLs+1+ga60Vj2vUVqzH55y2Z1eVA4C9m9pyZvQfcChxZ5TwVhZnNBV5rJ1rd6gPXmMA11jBp1weuMYFrrGHSrg+K1tiKVzKry0eA5MKlL8awtJB2feAa00LaNaZdH7jGtJB2jWnX1wavZDqO4ziO4zhlxyuZ1eUfwK6Jzx+NYWkh7frANaaFtGtMuz5wjWkh7RrTrq8NXsmsLguAPSR9XFIv4IvArCrnqZykXR+4xrSQdo1p1weuMS2kXWPa9bXBK5lVxMw+AE4H7gX+DPzGzJZXN1fFIekW4BFgL0kvSjopO0496wPXmME11jZp1weuMYNrrG3Srg+K09gmfpyS7jiO4ziO4zhlw1syHcdxHMdxnLLjlUzHcRzHcRyn7Hgl03Ecx3Ecxyk7Xsl0HMdxHMdxyo5XMh3HcRzHcZyy45XMGkTSBknNkpZJ+p2kvhU4x6mSTih3uptDQnfmb0AJx/6xglkrCwl9yyUtkXSWpG5x3zBJVxQ4drSk2Z2X2+JJ6FoiabGkQ2L4AEnLynSOmtMv6ShJJmnv+LlsemsdSR+WdKukv0paJOn3kvbME7evpNM6O4+J88+R9K9ZYd+U9LNq5amSSDo/vmOWxufyoE445wpJ/Sp9nniu7O+J82J4k6RhHUivUdLnCuwv+G6uBoW+S2qNHtXOgJOTd82sEUDS9cBXgYvKeQIzu7qc6ZWJVt3ZSBLBcqsl134zO6SSGSsTyXLdCbgZ2A6YYmYLgYVVzNvmkNT1r8B/A6OqmSFJPaIfXSU5Hng4/p9S6sGdlMeyE5/FO4DrzeyLMawB2Bl4JschfYHTgKs6K49Z3EIwvL43EfZF4FvVyU7lkPRJ4HBgfzNbHyt+vaqcrXKT93uigzQCw4DfZ++Iz2gtvpvzfpdUM1O5qMmar9OGR4CPQNtfapL6SVoRtydLul3SPZKelXRJ5mBJayRdFH/tPCpp5xg+VdLZiXR/KOkxSc9IGhHDt5b0G0lPSrpD0p868kuxo8SWoacl3QAsA/6fpJ8k9n9J0uUZnfH/6KhnpqSnJN0UvxSR9LkYtkjSFdVsGTOzV4BTgNMVaG2pkzQq8Sv9cUnbxsN659E1VNJDUde9kvrH8K/Hslsq6dZOkrYd8Hp2oKTuki6VtCDm58sxvFB5fTaGLQaOTqS1jaTr4v36uKQjY/hkSbMkPQg8UEmRknoDw4GTCBWW7P0DJM1TaNlNtu6OjuGzgCfj54ck/VbSc5IuljQpantC0u6V1NFBxgDvJ3+omtkS4HFJD0S9T2TKBbgY2D3ez5dWIb8zgc8rrK6CQg/JLsDxkhYqtAZNy0SWdICkP8Z35mOSto331pWJOLMljY7baxLhx0qaHrenS/qZwnv3uVjW10n6cyZOBegPrDKz9QBmtsrMXlJoabwklstjkv4l5nFHSf8Xn8sFkj4Vw/M9Y90lXabQy7ZU0tcS5/5aouz3rpC+opA0VtIjMT+3xec1V9n2AS4AJsT7c4LCd+ONkuYDN6rtu7m3pF9FjUslHVNFmUDO75ItE3l8XNIYqOL3uZn5X439AWvi/+7AbcBn4+cmYFjc7gesiNuTgeeAPsCWwN+AXeM+A8bF7UuA78btqcDZiXR/FLc/B9wft88Gfh63BwMfZM5fId0bgOb4dwcwAGgBDo77ewN/BXrGz38EhmRds9HAm4T1YLsRKunD43V5Afh4jHcLMLsa5ZoV9gahBWh0Jj/A74BPJTT3KKCrZ7wOO8b4E4Dr4vZLwBZxu28nlNtTMY9DY/gAYFncPiVx721BaBn4eBHltQcg4DeJ6/MD4N8zugitZ9sQnoMXgQ91QllOAn6ZuA+HZundGtgybu8BLEzcn2sT9+HoeA/0j9flH8C0uO8bwE868x4tUvvXgctzhPcAtovb/YC/xLJrvS5VzPNs4Mi4fR5wWeY+Ibxnm4B9Ca1+zwEHxH3bRV2TgSuz0hsdt9ckwo8Fpsft6cCt8RocCbwFDIn3+SKgsQI6e8dn8RlCy/GoGL4COD9un5B4lm4Ghsft3YA/x+18z9hXCJX2HnHfhxLpfy1unwb8ooJlmfyeaAYmxPAmQotkP2AusE0MPxf4XgllOzWWz1bx8+jE9fohiWcS2L5K93Oh75Kz2PgdsDfwd8L7tFO/zzN/3l1em2wlqZnQgvln4L4ijnnAzN4EkPQk8DHCl/R7hBcihAfnM3mOvz0RZ0DcHg78D4CZLZO0tCQVpdOmGyS2OPzNzB6NeVgTW6kOl/RnQmXziRzpPGZmL8Y0mgl61gDPmdnzMc4thIpPLTIf+LGkm4DbzexFhca9XLreILww7otxugMrYzpLgZsk3QncWcH8JrtuPgncIGlwVpyxwL6Sjo2f+xAqX++Rv7yeN7NnY/iv2VheY4EjFFviCS/Q3eL2fWb2WlnV5eZ44rNBqEgcD1yZ2N8TuFJSI+FLMTle8bHEfQiwwMxWAkj6K/CHGP4EodWwXhDwA0kjCT8OP0L40qsFMl3mv43/TwKOk3QKoaLRHxhI+FG+0swWAJjZWwDx2eoIvzMzk/QE8HLmfSVpOeE+b+5owrmI78ihwAjCvTNDccwi4Rpk/l8etw8DBib0bRdb/fI9Y4cBV1sc5pH1rCW/Q46mcrTXXX4woSznR129iMsgUnzZzjKzd3OEH0ai58LMNum1qQGGAz8FMLOnJP2N8P7p7O9zwMdk1irvmlmjpK0J44i+ClxB+OWRGeKwZdYx6xPbG9hYtu9b/OmSFZ7N+iLiVIO1WZ9/AXyH0Gr2qzzH5LsWNYWkTxDy9wqwTybczC6WdBehVXm+Nk5ayKVLwHIz+2SOU3weGAmMA86XNMQqPAbQzB5RGAe2Y9YuEVo67m0TGLocSy0vAceY2dNZaR3EpvdL2ZH0IeBQYIgkI1TsDfjfRLQzgJeBBsIzuy6xLzuPSf0tic8t1Oa9u5zQYpfNJEK5DzWz9xWG82S/p6rFb4HLJe1PaGV+jdCyc4CZvR67rwvlNfnuJSuu5QmHtmWZXc4VKVsz20Bo1WuKldsTM7uS0eL/boSeouT9mRl3m+sZK3TqWvkOEeHH5vFtAqUhJaRR8fdIOcn6LqkpfExmDWNm7xC6ps6S1IPQJTE07s71ki8384HjACQNJHT1VBUz+xOwKzCRjb/Mi+Fp4BPaOGN9QpmzVhKSdgSuJnTTWNa+3c3sCTP7IbCA0OWRj6eBHWMLIpJ6ShqkMNNwVzObQ+gu6kPoSqsocSxWd2B11q57ga9I6hnj7SlpmwJJPQUM0MYxickvjHsJ478yYzf3K0vmi+dY4EYz+5iZDTCzXYHnCfdlhj6EVpMW4D8I1yQtPAhsEVsBAZC0L6H35JVYwRwTPwO8DWy7aTKdh5mtAeYA1xHeG9sRKhJvKoxT/7cY9Wmgv6QDABTGY2bevY2SuknaFTgwkfzLkvaJz9z4ThGUB0l7SdojEdRIGD4FG995EwgtexBazVvHVcaWd8j/jN0HfDlek8wPrlrjUeBT2jjudBsF54N8ZVvK/XkfodGHmMb2Zc15B8jxXTKP8IOPqHs3gvaqfJ97JbPGMbPHCd2exxPGEX1F0uOEcSeV5ipCBeZJ4EJCC8abnXDe9vgNML+UrorY9XEacI+kRYQXS2dr2UrRdgK4n/CCn5Yj3jcVB9YD7wN350vQzN4jVHp+KGkJofvtEEKl5texJeNx4Aoze6OcYhJkdDUDM4ATY2tKkl8ATwKLFWx+fk6B1o7YsnIKcJfCxJ/kL/TvE7qjl8Zr+f2yKSmO4wljhpP8H/DtxOergBNjmexNnbWMFCJ+kY0HDlOwMFpOcBT4PTAs3nMnEH4oYGarCS3yy1SdiT8ZbiG0LN9icaJSzOPNhC/gzPM0AfhpLLv7CK2T8wk/JJ4k9CotTqR7HmFI0h/ZOFSlWvQGro+TO5YSuo2nxn3bx7BvEFraITRiDFOYxPIkcGoMz/eM/YIwxm9pvD4TKy0oB63vm/h3cXKnmb1KGGd5S9T7CLB3gbKdQxgy0CypvcaHCwnXcVlMo1rDWQp9l1wFdIvP4QxgsoWJYFX5PldWI4rjtCKpO2Hc47rYonQ/sFd8WKuZr9mEiQclzSCW1DuOWRKha/NZM7u8veMcx3HqmTh0YZiZrap2XpzqUK3v81oc7+PUDlsDc2IXp4DTqlnBVDClfwxYUmoFM/IlSScSBoI/TmhNcxzHcZy0U5Xvc2/JdBzHcRzHccqOj8l0HMdxHMdxyo5XMrsACuv0bl3tfDhOmlBYr7tvB4+tufWQuyJKrHzm1DfqxPXTneLxSmbX4JuE8RhFEwcJO46Tgzh57PCOztg3s4Vm9vXy5sqpJ/wdW79kLJyc9vFKZh0h6RxJX4/blyusfoOkQxXWfP6ZstbijfF3IQz4nRPD8q3rukJhDfPFwBeqItJxahSF9ciflnQDsAzYIKlfDP+zpGvjs/cHSVvFYw6I9jDNCmu3L4vhyfWQpyqsE92ksMb11xPn/H/xnA9LusVb3TYPSSfE8lgi6casfbtLukfSIoX15feO4eMU1nl+XNL9Cr6a7ZXbvyusjd0s6eeZCqWkNZJ+FO1vci2g4BSBgvflXbEclyWshzZZP13SgfH77nGFdcv3iuGPShqUSLMp9jDkW7d9sqRZ8Xu3IxNPuyReyawv5hGWC4OwRmvvOFNsBGGt1vPNbBhhDd5RkvY1sysIa1iPMbMxsTvhu8BhZrY/YQ3pMxPnWG1m+5vZrZ2kyXHqiT2Aq8xsEBtNrjPh/xvD3wCOieG/Ar4cl8HL9g5NsjfwrwST7ykKpvoHxHQaCGbhw8qoo8sRKxTfBQ41swaCX2SSawirUg0lrAZ0VQx/mLAqzn6EJUS/lTgmV7ntQ/Bj/FSi3CfF+NsAfzKzBjN7uNwauxCfBV6K13EwcE8MXxW/135GKEMIXqgjYvl9j7AuOwQPyYw5eX+gv5ktBM4HHjSzAwk+mJdq48IR+wPHmtmoyspLD97kW18sAoZK2o6whNdiwhfPCIKpbq61eLPXJ823rmuGGZUU4Dh1zt/M7NEc4c+bWXPcXkRYragvsK2ZZZ6vm4HD86R7VzRMXi/pFcKa358CfhuN6ddJ+l25RHRRDgVuy3hFmtlr8R1I7M05BLhNG5dO3CL+/yhhDfD+hPdlct35XOX2acLKbAtiWluxcTGBDQTjfmfzeAL4kaQfArPNbF681rnWT+9DMKjfg7CcZs8Y/huCifkUQmVzZgzPt247hOUqk+u1O+3glcw6Ii7X9jxhNYM/EiqQY4B/Ad6luLV4c67rmiA1K5M4TgXI93xkr7++VYnplrp+u1NeugFvxJbHbH4K/NjMZkkazcYVdCB3uQm43sySK0BlWJdjNSynRMzsGYV16D8HXCgp032da/307wNzzGy8wrLCTTGNf0harbAk6gQ2rnaUb932g/Dvx5Lx7vL6Yx6hMjk3bp9KMBbPtxYvtF2bNd+6ro7jlJE4Kejt+OUE8MUSk5gPjJO0ZWxpy9cK6hTHg8AXJO0AbdfdNrO3gOclfSHuk6SGuLsP8I+4fWIR53kAOFbSTpnzSPpYO8c4JSBpF+AdM/s1cCmhGzsfyfKbnLVvBmH4Qx8zy/T65Vu33ekAXsmsP+YRusIfMbOXgXXAvHxr8UauIazZPSffuq6dmH/H6UqcBFyrsK77NpSwVrCZLQBmEXos7iZ0EVZ8reG0YmbLgYuAh+LEmx9nRZkEnBT3LQeOjOFTCd3oi4B2l2U0sycJYz//EN+x9xHe2U75GAI8Fp+rKYS1uPNxCfDfkh5n0x6CmYQff79JhOVbt93pAL7ij+M4ToWQ1NvM1sTt8wiTC7InnLR7vILP7VzgFDNbXKHsOo7jlBUf9+M4jlM5Pi/p24R37d/YtLuuPa6RNJAwvvp6r2A6jlNPeEum4ziO4ziOU3Z8TKbjOI7jOI5TdryS6TiO4zhO1ZHUV9JpHTx2gKSJic+TJV2ZJ+6ajuaxnTxUJN16xiuZjuM4juPUAn2BDlUygQHAxPYiFYt8ffKy4JVMx3Ecx3FqgYuB3eOa75fGv2VxLfIJ0Ophukl4PHZEPPaMGLaLwnr0z0q6JHkiSZdLWi7pAUk7xrAmST+RtBD4hqTpko5NHJNxiugvaW481zJJIxJxLlJYU/3R6FndpfFKpuM4juM4tcB5wF/jykuPAo1AA3AYYQ3x/oTlInOFn0fwjG40s8tjeo2E1XyGABMk7RrDtwEWmtkg4CGC12aGXmY2zMx+VCCfE4F7Yz4bgOZEuo+aWQPBcuxLpV+CdFGV5uBFixZ9tFu3bn9oaWnZm7CEk+M4jlNbWLdu3Z5qaWkZO3To0BernRmnyzEcuCUuw/mypIeAAwqEv5UjjQfM7E0ASU8CHwNeAFoIq/0A/JqNa56TCC/EAuA6ST2BO82sOYa/B8yO24uAzxQjNM1UpZLZrVu3P+y88857fPjDH1a3bt6Y6jiOU2u0tLRo5cqVe/39739/9IgjjmiYNWvW6mrnyXFKJNfa8rlIejkm1yf/gNjjK6kb0AvAzOZKGgl8Hpgu6cdmdgPwvm30hSx0vi5DVWp4LS0te3/4wx/u4RVMx3Gc2qRbt27079+/W8+ePT8CnHvEEUdsW+08OannbSBzn80jdHF3j2MmRwKPFQhPHtse3YDMWMuJwMN54q0AhsbtIwjLTRLXon/ZzK4FfkHhtdO7NNWqZXsLpuM4To3TrVs3JAHsQOhqXFbdHDlpxsxWS5ovaRlwN7AUWEJoafyWmf1T0h3AJ3OErwY2xLXnpwOvFzjVWuBASd8FXiGM28zFtcBvY5r3sLGVczRwjqT3gTXACR3VnHaqsuLPokWLbOjQoe1HrACrV6/m05/+NAD//Oc/6d69OzvuuCMAS5YsoaGhgQ8++IB99tmH66+/nq233roq+Sw33bt3Z8iQIa2f77zzTlasWMGYMWOYNWsW48aNA+Dwww/n7LPPZvTo0VXKafnIp/nII4/k4x//OOvXr+eLX/wiU6ZMKZBK/fDPf/6Tb37zmyxYsIC+ffuy884785Of/IQ999yzLOk3NTXRq1cvDjnkkLKk59QHixYtYtq0adcBV86aNevxaufHcZz6oSbGC2haeef+2JT8FecddtiB5uZmAKZOnUrv3r05++yzAejdu3frvkmTJnH11Vdz5plnljVvABtoKmt63RndbpytttqqVVuGFStW8NGPfpSLLrqotZJZMVTm+V1F/DjKp3nEiBHMnj2btWvX0tjYyLhx49h///L2dgw4766yprfi4s8X3G9mjB8/nhNPPJFbb70VCD+aXn755bJWMnv37l25SubUPmVO7812o2R+iLz//vv06NGDE044gTPOOINy9bRMnz6dsWPHsssuuwBw8sknc+aZZzJw4MDNTvvOO+9k6dKlfO9738u5v7m5mZdeeonPfe5zOfcPGDCAhQsXst1223HYYYfx4IMP0qNHTXwlOI6TErzPOg8jRozgL3/5S7WzUXEaGhro06cP9913X7Wz0ulss802DB06NBXlPGfOHHr27Mmpp57aGtbQ0MDw4cM555xzGDx4MEOGDGHGjDBxsqmpicMPP7w17umnn8706dOBUPmYMmUK+++/P0OGDOGpp55ixYoVXH311Vx++eU0NjYyb968TtVXKTI/RJYvX859993H3XffzbRp00pKY8OGDXn3TZ8+nZdeeqn18y9+8YuyVDABLrnkEk47Lb9vdXNzM7///e/bTadXr158+tOfbr03HMdxyoVXMnPwwQcfcPfdd7fpaq133n33XRobG2lsbGT8+PFt9p1//vlceOGFVcpZ5SikGcLQiUcffZRBgwZVIXflZdmyZeQagnL77bfT3NzMkiVLuP/++znnnHNYuXJlu+n169ePxYsX85WvfIXLLruMAQMGcOqpp3LGGWfQ3NzMiBEj2k2j3thpp5245ppruPLKKzEzpk+fzumnn966//DDD6epqQkIvR5nnXUWDQ0NPPLII1xwwQUccMABDB48mFNOOQUzY+bMmSxcuJBJkybR2NjIu+++y+jRo1m4cCEAt9xyC0OGDGHw4MGce+65refp3bs3559/Pg0NDRx88MG8/PLLm+T1mWeeYYsttqBfv34A3HbbbQwePJiGhgZGjhzJe++9x/e+9z1mzJhBY2MjM2bMYPXq1YwdO5ZBgwZx8sknkxwqddRRR3HTTTdV4rI6jtOF8UpmgkylZNiwYey2226cdNJJ1c5S2ci02DQ3N3PHHXe02Tdy5EgAHn443wS7+iSf5nnz5rHffvsxduxYzjvvvFRUMvPx8MMPc/zxx9O9e3d23nlnRo0axYIFC9o97uijjwZg6NChrFixosK5rB0+8YlPsGHDBl555ZWC8dauXctBBx3EkiVLGD58OKeffjoLFixg2bJlvPvuu8yePZtjjz2WYcOGcdNNN9Hc3MxWW23VevxLL73Eueeey4MPPkhzczMLFizgzjvvbE374IMPZsmSJYwcOZJrr712k/PPnz+/zRCPCy64gHvvvZclS5Ywa9YsevXqxQUXXMCECRNobm5mwoQJTJs2jeHDh7N8+XLGjx/P3//+99bjBw8eXNR94TiOUwo+ACdBrjF8XYVMa2ZXGJOVGZOZJgYNGsTMmTOLjt+jRw9aWlpaP69bt67N/i222AIIYxY/+OCD8mQyRXTv3p1jjjmm9fOcOXO45JJLeOedd3jttdcYNGhQwXHOCxYsYPTo0a2TDidNmsTcuXM56qij6NWrV+tQhqFDh+YcyrJy5crWYwE+9alPMXnyZI477rjWHwjZzJ07l9tvD57Tn//859l+++3b6OnVqxdvv/02227rTkWO45QHb8l0ABg7diyvv/46S5curXZWnA5w6KGHsn79eq655prWsKVLl9K3b19mzJjBhg0bePXVV5k7dy4HHnggH/vYx3jyySdZv349b7zxBg888EC759h22215++23Kymj6jz33HN0796dnXbaqWBFfMstt6R79+6t4aeddhozZ87kiSee4Etf+tImlfZS6NmzZ8Y2KG8lf6uttmpzjquvvpoLL7yQF154gaFDh7J6dem+6evXr2fLLbfscL4dx3Gy8Uqm08r555/PCy+8UO1sOB1AEnfccQf3338/u+++O4MGDeLb3/42EydOZN9996WhoYFDDz2USy65hA9/+MPsuuuuHHfccQwePJjjjjuO/fbbr91zjBs3jjvuuCNVE3+SvPrqq5x66qmcfvrpSGLAgAE0NzfT0tLCCy+8wGOPPZbzuExlr1+/fqxZs6ZNi3K+ivmBBx7IQw89xKpVq9iwYQO33HILo0aNKjqv++yzT5sJa3/961856KCDuOCCC9hxxx154YUXNjn3yJEjufnmmwG4++67ef31jTaCq1evpl+/fvTs2bPoPDiO47SLmXX638KFC81xHKfadOvWzRoaGmzgwIG277772qWXXmobNmwwM7OWlhabOHGi7bXXXnbUUUfZqFGjbM6cOWZmts0227RJ5/zzz7dPfOITdsghh9jkyZNtypQpZmY2c+ZM23PPPa2hocHeeecdGzVqlC1YsMDMzG6++WYbPHiwDRo0yL71rW+1ppVM+7bbbrMTTzxxk3yvXbvWBg4caC0tLWZmNn78+Na0vv71r1tLS4utXr3ahg0bZg0NDXbrrbfaqlWr7DOf+YwNHDjQTj75ZNttt93s1VdfbT3PmWeemfMaLVy40MaNG/fLcePG7WdV+L7wP//zv/r963Jm7I7jOGngG9/4BuPGjeOwww7b7LSOPvpoLr744pyeqm7G7jhOR/HucsdxnDrkO9/5Du+8885mp/Pee+9x1FFHlc2033EcJ4NXMh3HceqQnXfemSOOOGKz0+nVqxcnnOBLLzuOU36qVcm05KxNx3Ecp/ZoaWmhGkOqHMdJB1WpZHbr1u2plStXtnhF03EcpzZpaWlh5cqVLevWrVtV7bw4jlOfVMV5u6WlZexzzz3XvHLlyh0yfnCO4zhO7WBmrFu37rUbbrjhJmB74K1q58lxnPqiKpXMoUOHvnjEEUccDJwFuDGb4zhO7dIXuAd4vsr5cBynzqiKhVGGI444oi+wIz4ByXEcp1ZZC/xj1qxZPjjTcZySqGol03Ecx3Ecx0kn3oLoOI7jOI7jlB2vZDqO4ziO4zhlxyuZjuM4juM4Ttn5/63qW3giUQIiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x129.6 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ebbers_UPB_SED_1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x129.6 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hao_CQU_SED_2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x129.6 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hao_CQU_SED_4\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x129.6 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Koh_NTHU_SED_3\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x129.6 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Liu_thinkit_SED_3\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x129.6 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Miyazaki_NU_SED_1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x129.6 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Miyazaki_NU_SED_2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x129.6 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Miyazaki_NU_SED_3\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x129.6 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Yao_UESTC_SED_3\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x129.6 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for s in total_dic:\n",
    "# for s in ['Miyazaki_NU_SED_1','CTK_NU_SED_4','Hao_CQU_SED_4']:\n",
    "    print(s)\n",
    "#     metrics=[m for m in total_dic[s]]\n",
    "    metrics=['collar','psd d/gtc=0.8','psd d/gtc=0.5','psd d/gtc=0.1','detection','segment','total duration','uniformity','relative duration']\n",
    "    metric_team={m:total_dic[s][m] for m in metrics }\n",
    "\n",
    "#     metrics=list(team.keys())\n",
    "    clas=[c for c in metric_team[metrics[0]].index[:-2]]\n",
    "#     clas=['Dishes',  'Cat', 'Speech', 'Blender','Alarm_bell_ringing']\n",
    "\n",
    "    team={c:pd.DataFrame({m: metric_team[m].loc[c] for m in metrics}).T for c in clas}\n",
    "    \n",
    "    removerows=['micro-avg','macro-avg']#,'Alarm_bell_ringing','Blender']\n",
    "    \n",
    "#     total=total[-10:]\n",
    "    fig, axs = plt.subplots(1, len(clas), figsize=(len(clas), len(team[clas[0]])/5), sharey=True)\n",
    "    \n",
    "\n",
    "    gt = pd.read_csv(gtf, sep=\"\\t\")\n",
    "    gt['duration']=gt.offset-gt.onset\n",
    "    info=gt.groupby('event_label')['duration'].agg(['mean','std','count'])\n",
    "    info=info.loc[clas]\n",
    "    maxd=(info['mean']+info['std']).max().max();\n",
    "    gt['duration']=maxd\n",
    "    info_n=info/maxd\n",
    "\n",
    "    avg_e_dur=pd.Series({c:team[c].loc['total duration'][['Ntp','Nfn']].sum()/team[c].loc['detection'][['Ntp','Nfn']].sum() for c in clas})\n",
    "    avg_e_dur=pd.Series({c:team[c].loc['total duration'][['Ntp','Nfn']].sum()/team[c].loc['detection'][['Ntp','Nfn']].sum() for c in clas})\n",
    "    e_count=pd.Series({c:team[c].loc['detection'][['Ntp','Nfn']].sum() for c in clas})\n",
    "    \n",
    "\n",
    "    avg_e_dur=avg_e_dur/avg_e_dur.max()\n",
    "    e_count=e_count/e_count.max()\n",
    "    \n",
    "    ind = np.arange(len(team[clas[0]]))\n",
    "    def myplot(ax,num,c):\n",
    "        \n",
    "        team_m=team[c][['Ntp','Nfn','Nfp']]#.iloc[[0,6,8,2,1,12,10,11,9,13,14,15]]\n",
    "        \n",
    "#         team_m=team_m.sort_index()\n",
    "        ind = np.arange(len(team_m))\n",
    "        cols=team_m\n",
    "        team_m=(team_m.T/team_m.sum(axis=1)).T\n",
    "        width = .8\n",
    "        marker = itertools.cycle(( '^', 'o', 'D', 's','X', '*'))\n",
    "        i=0\n",
    "\n",
    "        ax.barh(ind+.8, team_m['Ntp'], width, label='TP',color='g')#, color='red'\n",
    "        ax.barh(ind+.8, team_m['Nfn'], width,left=team_m['Ntp'], label='FN',color='#f6ff00',alpha=.25)#, color='red'\n",
    "        ax.barh(ind+.8, team_m['Nfp'], width,left=team_m[['Ntp','Nfn']].sum(axis=1), label='FP',color='r',alpha=1)#, color='red'\n",
    "        \n",
    "        \n",
    "        ax.barh(-.2,e_count[c],width,label='Count')\n",
    "#         ax.barh(-1,avg_e_dur[c],width,label='Duration(avg)')\n",
    "        ax.barh(-1,info_n.loc[c]['mean'],width,label='Duration (std)')\n",
    "        ax.errorbar( info_n.loc[c]['mean'],-1.1, xerr=info_n.loc[c]['std'],color='black',elinewidth=1, fmt='-.')\n",
    "        all_data=gt['duration'][gt['event_label']==c]\n",
    "        \n",
    "        ax.set(yticks=ind + width, yticklabels=[f'{y}' for i,y in enumerate(team_m.index)], ylim=[0.4-2, len(team_m)+.2],xlim=[0,1])\n",
    "        if num==2:\n",
    "            ax.legend(loc='upper center', bbox_to_anchor=(0, -0.45),fancybox=True, shadow=True, ncol=5)\n",
    "        ax.set_xlabel(c.replace(' ','\\n').replace('bell_','').replace('_','\\n'))\n",
    "        \n",
    "\n",
    "#         ax.set_xticks(np.arange(0, 1, .5))\n",
    "        ax.set_xticks(np.arange(0, 1, .25), minor=True)\n",
    "\n",
    "        ax.grid(True,axis='x',which='both')\n",
    "\n",
    "    for i,c in enumerate(clas):\n",
    "        \n",
    "        myplot(axs[i],i,c)\n",
    "#     myplot(axs[1],range(len(total.columns)-8,len(total.columns)-1))\n",
    "    \n",
    "    # print(total)\n",
    "    plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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