sub_log_discover.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "import sub_logic\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    only_good = sub_logic.SubLog(False, {'a': 0.5, 'r': 1, 's':0})\n",
    "    only_good2 = sub_logic.SubLog(False, {'a': 0.9, 'r': 1, 's':0})\n",
    "    only_good3 = sub_logic.SubLog(False, {'a': 0.1, 'r': 1, 's':0})\n",
    "    only_bad = sub_logic.SubLog(False, {'a': 0.5, 'r': 0, 's':1})\n",
    "    only_bad2 = sub_logic.SubLog(False, {'a': 0.9, 'r': 0, 's':1})\n",
    "    only_bad3 = sub_logic.SubLog(False, {'a': 0.1, 'r': 0, 's':1})\n",
    "    good_bad = sub_logic.SubLog(False, {'a': 0.5, 'r': 1, 's':1})\n",
    "    good_bad2 = sub_logic.SubLog(False, {'a': 0.9, 'r': 1, 's':1})\n",
    "    good_bad3 = sub_logic.SubLog(False, {'a': 0.1, 'r': 1, 's':1})\n",
    "    mygraph = sub_logic.Graph('car1')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.666667\n",
      "0.933333\n",
      "0.4\n"
     ]
    }
   ],
   "source": [
    "mygraph.add_direct_nodes('car2.5', only_good)\n",
    "mygraph.add_direct_nodes('car2.8', only_good2)\n",
    "mygraph.add_direct_nodes('car2.2', only_good3)\n",
    "print(mygraph.get_my_opinion('car2.5').trust())\n",
    "print(mygraph.get_my_opinion('car2.8').trust())\n",
    "print(mygraph.get_my_opinion('car2.2').trust())"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.333333\n",
      "0.6\n",
      "0.066667\n"
     ]
    }
   ],
   "source": [
    "mygraph.add_direct_nodes('car3.5', only_bad)\n",
    "mygraph.add_direct_nodes('car3.8', only_bad2)\n",
    "mygraph.add_direct_nodes('car3.2', only_bad3)\n",
    "print(mygraph.get_my_opinion('car3.5').trust())\n",
    "print(mygraph.get_my_opinion('car3.8').trust())\n",
    "print(mygraph.get_my_opinion('car3.2').trust())"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5\n",
      "0.7\n",
      "0.3\n"
     ]
    }
   ],
   "source": [
    "mygraph.add_direct_nodes('car4.5', good_bad)\n",
    "mygraph.add_direct_nodes('car4.8', good_bad2)\n",
    "mygraph.add_direct_nodes('car4.2', good_bad3)\n",
    "print(mygraph.get_my_opinion('car4.5').trust())\n",
    "print(mygraph.get_my_opinion('car4.8').trust())\n",
    "print(mygraph.get_my_opinion('car4.2').trust())"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# good interactions 26\n",
      "# bad interactions 26\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 700x350 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(50):\n",
    "    if i%2 == 0:\n",
    "        new_data = sub_logic.SubLog(False, {'r' : 1, 's': 0, 'a' : 0.5})\n",
    "    else:\n",
    "        new_data = sub_logic.SubLog(False, {'r' : 0, 's': 1, 'a' : 0.5})\n",
    "    mygraph.add_direct_nodes('car4.5', new_data)\n",
    "    plt.rcParams[\"figure.figsize\"] = [7.00, 3.50]\n",
    "    plt.rcParams[\"figure.autolayout\"] = True\n",
    "    x = [i+1]\n",
    "    y = [mygraph.get_my_opinion('car4.5').trust()]\n",
    "    plt.xlim(0, 50)\n",
    "    plt.ylim(0, 1)\n",
    "    plt.grid()\n",
    "    plt.plot(x, y, marker=\"o\", markersize=4, markeredgecolor=\"white\", markerfacecolor=\"red\")\n",
    "plt.title(\"Trust levels with good and bad interactions and base rate 0.5\")\n",
    "plt.xlabel(\"Number of interactions\")\n",
    "plt.ylabel(\"Trust level\")\n",
    "plt.savefig('gb05.png')\n",
    "print('# good interactions '+str(round(mygraph.get_my_opinion('car4.5').r)))\n",
    "print('# bad interactions '+str(round(mygraph.get_my_opinion('car4.5').s)))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# good interactions 0\n",
      "# bad interactions 51\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 700x350 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(50):\n",
    "    new_data = sub_logic.SubLog(False, {'r' : 0, 's': 1, 'a' : 0.5})\n",
    "    mygraph.add_direct_nodes('car3.5', new_data)\n",
    "    plt.rcParams[\"figure.figsize\"] = [7.00, 3.50]\n",
    "    plt.rcParams[\"figure.autolayout\"] = True\n",
    "    x = [i+1]\n",
    "    y = [mygraph.get_my_opinion('car3.5').trust()]\n",
    "    plt.xlim(0, 50)\n",
    "    plt.ylim(0, 1)\n",
    "    plt.grid()\n",
    "    plt.plot(x, y, marker=\"o\", markersize=4, markeredgecolor=\"white\", markerfacecolor=\"red\")\n",
    "plt.title(\"Trust levels with bad interactions and base rate 0.5\")\n",
    "plt.xlabel(\"Number of interactions\")\n",
    "plt.ylabel(\"Trust level\")\n",
    "plt.savefig('b05.png')\n",
    "print('# good interactions '+str(round(mygraph.get_my_opinion('car3.5').r)))\n",
    "print('# bad interactions '+str(round(mygraph.get_my_opinion('car3.5').s)))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# good interactions 51\n",
      "# bad interactions 0\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 700x350 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(50):\n",
    "    new_data = sub_logic.SubLog(False, {'r' : 1, 's': 0, 'a' : 0.5})\n",
    "    mygraph.add_direct_nodes('car2.5', new_data)\n",
    "    plt.rcParams[\"figure.figsize\"] = [7.00, 3.50]\n",
    "    plt.rcParams[\"figure.autolayout\"] = True\n",
    "    x = [i+1]\n",
    "    y = [mygraph.get_my_opinion('car2.5').trust()]\n",
    "    plt.xlim(0, 50)\n",
    "    plt.ylim(0, 1)\n",
    "    plt.grid()\n",
    "    plt.plot(x, y, marker=\"o\", markersize=4, markeredgecolor=\"white\", markerfacecolor=\"red\")\n",
    "plt.title(\"Trust levels with good interactions and base rate 0.5\")\n",
    "plt.xlabel(\"Number of interactions\")\n",
    "plt.ylabel(\"Trust level\")\n",
    "plt.savefig('g05.png')\n",
    "print('# good interactions '+str(round(mygraph.get_my_opinion('car2.5').r)))\n",
    "print('# bad interactions '+str(round(mygraph.get_my_opinion('car2.5').s)))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# good interactions 51\n",
      "# bad interactions 0\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 700x350 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(50):\n",
    "    new_data = sub_logic.SubLog(False, {'r' : 1, 's': 0, 'a' : 0.9})\n",
    "    mygraph.add_direct_nodes('car2.8', new_data)\n",
    "    plt.rcParams[\"figure.figsize\"] = [7.00, 3.50]\n",
    "    plt.rcParams[\"figure.autolayout\"] = True\n",
    "    x = [i+1]\n",
    "    y = [mygraph.get_my_opinion('car2.8').trust()]\n",
    "    plt.xlim(0, 50)\n",
    "    plt.ylim(0, 1)\n",
    "    plt.grid()\n",
    "    plt.plot(x, y, marker=\"o\", markersize=4, markeredgecolor=\"white\", markerfacecolor=\"red\")\n",
    "plt.title(\"Trust levels with good interactions and base rate 0.9\")\n",
    "plt.xlabel(\"Number of interactions\")\n",
    "plt.ylabel(\"Trust level\")\n",
    "plt.savefig('g09.png')\n",
    "print('# good interactions '+str(round(mygraph.get_my_opinion('car2.8').r)))\n",
    "print('# bad interactions '+str(round(mygraph.get_my_opinion('car2.8').s)))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# good interactions 51\n",
      "# bad interactions 0\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 700x350 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(50):\n",
    "    new_data = sub_logic.SubLog(False, {'r' : 1, 's': 0, 'a' : 0.1})\n",
    "    mygraph.add_direct_nodes('car2.2', new_data)\n",
    "    plt.rcParams[\"figure.figsize\"] = [7.00, 3.50]\n",
    "    plt.rcParams[\"figure.autolayout\"] = True\n",
    "    x = [i+1]\n",
    "    y = [mygraph.get_my_opinion('car2.2').trust()]\n",
    "    plt.xlim(0, 50)\n",
    "    plt.ylim(0, 1)\n",
    "    plt.grid()\n",
    "    plt.plot(x, y, marker=\"o\", markersize=4, markeredgecolor=\"white\", markerfacecolor=\"red\")\n",
    "plt.title(\"Trust levels with good interactions and base rate 0.1\")\n",
    "plt.xlabel(\"Number of interactions\")\n",
    "plt.ylabel(\"Trust level\")\n",
    "plt.savefig('g01.png')\n",
    "print('# good interactions '+str(round(mygraph.get_my_opinion('car2.2').r)))\n",
    "print('# bad interactions '+str(round(mygraph.get_my_opinion('car2.2').s)))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# good interactions 0\n",
      "# bad interactions 51\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 700x350 with 1 Axes>",
      "image/png": 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1RZ06dRAWFpZnbGV+mjVrhipVqkihNTfItmnTBidPnsSrV6+k1wr6uk5dNWvWVHmeG2TUCSpOTk55LjTJ3c6vj81bs2YNmjRpIo2LtrOzw/bt25GcnCz1uXXrFqpXr55nmMRbb72l0ed5U40aNfKEQBsbG7U+X+5/uEJCQvLs+5UrVyI9PV3lMwCAu7t7nvU8efIEY8aMgYODA8zMzGBnZyf1y13+0aNHSElJ0ercvLdu3UKdOnVgYKD6z0ju17+3bt1SaS/qWJDL5ZgzZw527twJBwcHtGnTBnPnzkVCQkKRtaizDTSp5datWzAwMMgzVEbT46VOnToqz2UyGWrXrq1y/N6+fRuDBg1C1apVYWFhATs7OwQEBKjUrs62yT2e2rdvn+d42rNnT6G/S16X3zH28uVLREREwMXFBXK5HLa2trCzs8OzZ8/y3b5vKmltZmZmKtcg5Hr16pX0emFmzJiBwYMHY+7cuahbty58fHxgZGSEwYMHA0CBw6dIP3CMLJUbRf0yelN2drbK8zZt2uDatWv47bffsGfPHqxcuRILFizAsmXLMGTIEK3UqFQq0bhxY8yfPz/f111cXKS/BwcHY8qUKdi0aRPGjh2LjRs3QqFQ4N1331VZn729PX7++ed811fYtDD169fHpUuX8Mcff2DXrl349ddf8d133yEiIgLTp08vcDljY2P4+fnh4MGDuHr1KhISEtC6dWs4ODggMzMTx44dw6FDh1CvXr0ST0tT0JXE4v+P7yypn376CYMGDUL37t0xceJE2Nvbw9DQEFFRUbh27ZpW3qMwJfl8uWdbv/766wKn5XrzH9j8fkb69OmDI0eOYOLEifDy8oKFhQWUSiXefffdPGd0dUmdbTV27Fh07doV27Ztw+7duzF16lRERUXhzz//RNOmTQtct6bboLSPS3VlZ2fjnXfewZMnTzBp0iTUq1cP5ubmuHfvHgYNGqRSe1HbJrfv2rVr8x3vqe6MI/kdY59++ilWrVqFsWPHwt/fHwqFQpr2Sp1jrKS1Va9eHfv27YMQQuU/jg8ePACQ85/ewpiYmGDlypWYOXMmLl++DAcHB9StWxf9+vWDgYEBateuXeRnoPKLQZbKPRsbmzxXl2dkZEi/xF5XtWpVhIaGIjQ0FKmpqWjTpg2mTZsmBdnifIX6Og8PD/zzzz/o0KFDketyd3eHr68vNmzYgFGjRmHLli3o3r27yldkHh4e2Lt3L1q2bKlxkAcAc3NzBAcHIzg4GBkZGejZsydmzpyJKVOmFDpdVOvWrTFnzhzs3bsXtra2qFevHmQyGRo2bIhDhw7h0KFDeO+994p8/5Juz8Lcv38/z/Q/ly9fBgDpwpDNmzejVq1a2LJli0otkZGRKutydXVFbGwsUlNTVcLhpUuXSq3+XAVto9yzfVZWVggMDCzWup8+fYrY2FhMnz4dERERUvubw2vs7OxgZWWFs2fPFqvW/Li6uuLMmTNQKpUqZ2UvXrwovV4cHh4eGD9+PMaPH48rV67Ay8sL8+bNw08//ZRvf3W3gSZcXV2hVCpx7do1lbOwmh4vb9YghMDVq1fRpEkTAMC///6Ly5cvY82aNRg4cKDUL3emlTcVtm1yjyd7e/tiH08F2bx5M0JCQlSmqXr16lWe38tFHevFrc3LywsrV67EhQsX0KBBA6n92LFj0uvqcHBwkC4izs7Oxv79++Hn58czsnqOQwuo3PPw8FC5yh4Ali9fnueM7JtT7VhYWKB27doqX0nlhiJ1p116U58+fXDv3j2sWLEiz2svX76UrvLNFRwcjL///hs//PADkpKSVIYV5K4vOzsbX375ZZ71ZWVlFVrnm5/XxMQEDRo0gBACmZmZhX6O1q1bIz09HdHR0WjVqpX0D1Dr1q2xdu1a3L9/X63xsebm5sXelkXJysrC999/Lz3PyMjA999/Dzs7O3h7ewP4vzNrr59JO3bsWJ7peDp37oysrCwsXbpUasvOzsbixYtLpfbXFXTMeXt7w8PDA9988400xdnrHj16VOS68/v8ABAdHa3y3MDAAN27d8fvv/+OkydP5llP7vKa/Hx07twZCQkJKuPAs7KysHjxYlhYWEhfj6vrxYsX0lfFuTw8PGBpaZnv18q51N0GmujUqRMAYNGiRSVa548//ojnz59Lzzdv3owHDx5I68+vdiEEFi5cqLIedbZNUFAQrKysMGvWrHx//tU5ngpiaGiYZ/suXrw4z+/ggo6fktbWrVs3GBsb47vvvpPahBBYtmwZnJ2dpVlAgJyztBcvXizyd+A333yDBw8eYPz48YX2o/KPZ2Sp3BsyZAiGDx+ODz74AO+88w7++ecf7N69G7a2tir9GjRogLZt28Lb2xtVq1bFyZMnsXnzZowaNUrqkxuARo8ejaCgIBgaGhZ5V5jXDRgwABs3bsTw4cOxb98+tGzZEtnZ2bh48SI2btyI3bt3q1xM06dPH0yYMAETJkxA1apV85yNCAgIwLBhwxAVFYX4+Hh07NgRxsbGuHLlCjZt2oSFCxeqzDn7uo4dO8LR0REtW7aEg4MDLly4gG+//RZdunRRucAkP/7+/jAyMsKlS5ekqbOAnOEZuWFPnSDr7e2NvXv3Yv78+XBycoK7uzv8/PyKXE4dTk5OmDNnDm7evIm6detiw4YNiI+Px/Lly6Xpmt577z1s2bIFPXr0QJcuXXDjxg0sW7YMDRo0UAmHXbt2RcuWLTF58mTcvHkTDRo0wJYtW9Qa31dSHh4esLa2xrJly2BpaQlzc3P4+fnB3d0dK1euRKdOndCwYUOEhobC2dkZ9+7dw759+2BlZYXff/+90HVbWVlJ4yUzMzPh7OyMPXv24MaNG3n6zpo1C3v27EFAQIA0ddyDBw+wadMm/PXXX7C2toaXlxcMDQ0xZ84cJCcnQy6Xo3379rC3t8+zvk8++QTff/89Bg0ahLi4OLi5uWHz5s04fPgwoqOjizwG33T58mV06NABffr0QYMGDWBkZIStW7ciMTGx0J9RTbaBury8vNC3b1989913SE5ORosWLRAbG4urV69qtJ6qVauiVatWCA0NRWJiIqKjo1G7dm0MHToUAFCvXj14eHhgwoQJuHfvHqysrPDrr7/mGWOtzraxsrLC0qVLMWDAADRr1gwffvgh7OzscPv2bWzfvh0tW7aUbiagqffeew9r166FQqFAgwYNcPToUezduxfVqlXLs90KOn5KUluNGjUwduxYfP3118jMzETz5s2xbds2HDp0CD///LPKUJEpU6ZgzZo1uHHjhvTNzU8//YRff/0Vbdq0gYWFBfbu3YuNGzdiyJAh+OCDD4q1TagcKfuJEqiyK2j6rYKmksrOzhaTJk0Stra2okqVKiIoKEhcvXo1z/RbX331lfD19RXW1tbCzMxM1KtXT8ycOVOaqkmInCmXPv30U2FnZydkMlmRU3G9OeWQEDlTDM2ZM0c0bNhQyOVyYWNjI7y9vcX06dNFcnJynnW0bNlSABBDhgwp8H2WL18uvL29hZmZmbC0tBSNGzcWn332mbh//36BtXz//feiTZs2olq1akIulwsPDw8xceLEfGvIT/PmzQUAcezYMant7t27AoBwcXHJ0z+/6bcuXrwo2rRpI8zMzAQAaX/k9n306JFK/9wpfm7cuFFobbnHw8mTJ4W/v78wNTUVrq6u4ttvv1Xpp1QqxaxZs4Srq6uQy+WiadOm4o8//hAhISHC1dVVpe/jx4/FgAEDhJWVlVAoFGLAgAHi9OnTJZp+K79jNr/3/u2330SDBg2EkZFRnvc7ffq06Nmzp7QfXV1dRZ8+fURsbKzUp6DtKUTOPuvRo4ewtrYWCoVC9O7dW9y/fz/faaJu3bolBg4cKOzs7IRcLhe1atUSYWFhKlOYrVixQtSqVUsYGhqqfOb8fhYSExNFaGiosLW1FSYmJqJx48Z5tmXu9Fv5TR31eo1JSUkiLCxM1KtXT5ibmwuFQiH8/PzExo0b8yxX3G2gyXH58uVLMXr0aFGtWjVhbm4uunbtKu7cuaPR9Fu//PKLmDJlirC3txdmZmaiS5cu0pRauc6fPy8CAwOFhYWFsLW1FUOHDhX//POPynGiybbZt2+fCAoKEgqFQpiamgoPDw8xaNCgIqeYyt0G+U3P9vTpU2k/W1hYiKCgIHHx4sU8v4OFKPj4KUltQuT8O5D7s25iYiIaNmyoMvVbrpCQkDz78tixY6JNmzbCxsZGmJqaCk9PT7Fs2TKVae9If8mEKOPR7UREREREWsAxskRERESklxhkiYiIiEgvMcgSERERkV7SaZA9ePAgunbtCicnJ8hkMmzbtq3IZfbv349mzZpBLpejdu3aWL16danXSURERETlj06DbFpaGjw9PbFkyRK1+t+4cQNdunRBu3btEB8fj7Fjx2LIkCHYvXt3KVdKREREROVNuZm1QCaTYevWrejevXuBfSZNmoTt27er3J3mww8/xLNnz7Br164yqJKIiIiIygu9uiHC0aNH80woHxQUhLFjxxa4THp6uspdYZRKJZ48eYJq1aqV6u01iYiIiEiVEALPnz+Hk5OTyu2ti0uvgmxCQoJ0n+RcDg4OSElJwcuXL/O9V31UVBSmT59eViUSERERURHu3LmDGjVqlHg9ehVki2PKlCkIDw+XnicnJ6NmzZq4c+cOrKysdFgZERERUeWSkpICFxcXjW9jXRC9CrKOjo5ITExUaUtMTISVlVW+Z2MBQC6XQy6X52m3srJikCUiIiLSAW0N79SreWT9/f0RGxur0hYTEwN/f38dVUREREREuqLTIJuamor4+HjEx8cDyJleKz4+Hrdv3waQMyxg4MCBUv/hw4fj+vXr+Oyzz3Dx4kV899132LhxI8aNG6eL8omIiIhIh3QaZE+ePImmTZuiadOmAIDw8HA0bdoUERERAIAHDx5IoRYA3N3dsX37dsTExMDT0xPz5s3DypUrERQUpJP6iYiIiEh3ys08smUlJSUFCoUCycnJHCNLREREVIa0ncP0aowsEREREVEuBlkiIiIi0ksMskRERESklxhkiYiIiEgvMcgSERERkV5ikCUiIiIivcQgS0RERER6iUGWiIiIiPQSgywRERER6SUGWSIiIiLSSwyyRERERKSXGGSJiIiISC8xyBIRERGRXmKQJSIiIiK9xCBLRERERHqJQZaIiIiI9BKDLBERERHpJQZZIiIiItJLDLJEREREpJcYZImIiIhILzHIEhEREZFeYpAlIiIiIr3EIEtEREREeolBloiIiIj0EoMsEREREeklBlkiIiIi0ksMskRERESklxhkiYiIiEgvMcgSERERkV5ikCUiIiIivcQgS0RERER6iUGWiIiIiPQSgywRERER6SUGWSIiIiLSSwyyRERERKSXGGSJiIiISC8xyBIRERGRXmKQJSIiIiK9xCBLRERERHqJQZaIiIiI9JLOg+ySJUvg5uYGU1NT+Pn54fjx44X2j46OxltvvQUzMzO4uLhg3LhxePXqVRlVS0RERETlhU6D7IYNGxAeHo7IyEicOnUKnp6eCAoKwsOHD/Ptv27dOkyePBmRkZG4cOEC/vvf/2LDhg34/PPPy7hyIiIiItI1nQbZ+fPnY+jQoQgNDUWDBg2wbNkyVKlSBT/88EO+/Y8cOYKWLVuiX79+cHNzQ8eOHdG3b98iz+ISERERUcWjsyCbkZGBuLg4BAYG/l8xBgYIDAzE0aNH812mRYsWiIuLk4Lr9evXsWPHDnTu3LnA90lPT0dKSorKg4iIiIj0n5Gu3jgpKQnZ2dlwcHBQaXdwcMDFixfzXaZfv35ISkpCq1atIIRAVlYWhg8fXujQgqioKEyfPl2rtRMRERGR7un8Yi9N7N+/H7NmzcJ3332HU6dOYcuWLdi+fTu+/PLLApeZMmUKkpOTpcedO3fKsGIiIiIiKi06OyNra2sLQ0NDJCYmqrQnJibC0dEx32WmTp2KAQMGYMiQIQCAxo0bIy0tDZ988gn+85//wMAgby6Xy+WQy+Xa/wBEREREpFM6OyNrYmICb29vxMbGSm1KpRKxsbHw9/fPd5kXL17kCauGhoYAACFE6RVLREREROWOzs7IAkB4eDhCQkLg4+MDX19fREdHIy0tDaGhoQCAgQMHwtnZGVFRUQCArl27Yv78+WjatCn8/Pxw9epVTJ06FV27dpUCLRERERFVDjoNssHBwXj06BEiIiKQkJAALy8v7Nq1S7oA7Pbt2ypnYL/44gvIZDJ88cUXuHfvHuzs7NC1a1fMnDlTVx+BiIiIiHREJirZd/IpKSlQKBRITk6GlZWVrsshIiIiqjS0ncP0atYCIiIiIqJcDLJEREREpJcYZImIiIhILzHIEhEREZFeYpAlIiIiIr3EIEtEREREeolBloiIiIj0EoMsEREREeklBlkiIiIi0ksMskRERESklxhkiYiIiEgvMcgSERERkV5ikCUiIiIivcQgS0RERER6iUGWiIiIiPQSgywRERER6SUGWSIiIiLSSwyyRERERKSXGGSJiIiISC8xyBIRERGRXmKQJSIiIiK9xCBLRERERHqJQZaIiIiI9BKDLBERERHpJQZZIiIiItJLDLJEREREpJcYZImIiIhILzHIEhEREZFeYpAlIiIiIr3EIEtEREREeolBloiIiIj0EoMsEREREeklBlkiIiIi0ksMskRERESklxhkiYiIiEgvMcgSERERkV4yUqdTz5491V7hli1bil0MEREREZG61AqyCoWitOsgIiIiItKIWkF21apVpV0HEREREZFGijVGNisrC3v37sX333+P58+fAwDu37+P1NRUrRZHRERERFQQjYPsrVu30LhxY3Tr1g1hYWF49OgRAGDOnDmYMGGCxgUsWbIEbm5uMDU1hZ+fH44fP15o/2fPniEsLAzVq1eHXC5H3bp1sWPHDo3fl4iIiIj0m8ZBdsyYMfDx8cHTp09hZmYmtffo0QOxsbEarWvDhg0IDw9HZGQkTp06BU9PTwQFBeHhw4f59s/IyMA777yDmzdvYvPmzbh06RJWrFgBZ2dnTT8GEREREek5tcbIvu7QoUM4cuQITExMVNrd3Nxw7949jdY1f/58DB06FKGhoQCAZcuWYfv27fjhhx8wefLkPP1/+OEHPHnyBEeOHIGxsbH0vkRERERU+Wh8RlapVCI7OztP+927d2Fpaan2ejIyMhAXF4fAwMD/K8bAAIGBgTh69Gi+y/zvf/+Dv78/wsLC4ODggEaNGmHWrFn51pMrPT0dKSkpKg8iIiIi0n8aB9mOHTsiOjpaei6TyZCamorIyEh07txZ7fUkJSUhOzsbDg4OKu0ODg5ISEjId5nr169j8+bNyM7Oxo4dOzB16lTMmzcPX331VYHvExUVBYVCIT1cXFzUrpGIiIiIyi+Ng+y8efNw+PBhNGjQAK9evUK/fv2kYQVz5swpjRolSqUS9vb2WL58Oby9vREcHIz//Oc/WLZsWYHLTJkyBcnJydLjzp07pVojEREREZUNjcfI1qhRA//88w/Wr1+PM2fOIDU1FYMHD8ZHH32kcvFXUWxtbWFoaIjExESV9sTERDg6Oua7TPXq1WFsbAxDQ0OprX79+khISEBGRkaecbsAIJfLIZfL1a6LiIiIiPSDxkH21atXMDU1Rf/+/Uv0xiYmJvD29kZsbCy6d+8OIOeMa2xsLEaNGpXvMi1btsS6deugVCphYJBzMvny5cuoXr16viGWiIiIiCoujYcW2NvbIyQkBDExMVAqlSV68/DwcKxYsQJr1qzBhQsXMGLECKSlpUmzGAwcOBBTpkyR+o8YMQJPnjzBmDFjcPnyZWzfvh2zZs1CWFhYieogIiIiIv2j8RnZNWvWYN26dejWrRsUCgWCg4PRv39/+Pj4aPzmwcHBePToESIiIpCQkAAvLy/s2rVLugDs9u3b0plXAHBxccHu3bsxbtw4NGnSBM7OzhgzZgwmTZqk8XsTERERkX6TCSFEcRZ8/vw5Nm/ejF9++QV//vknatWqhf79+yMiIkLbNWpVSkoKFAoFkpOTYWVlpetyiIiIiCoNbeewYgfZ150/fx4fffQRzpw5U+icruUBgywRERGRbmg7h2k8RjbXq1evsHHjRnTv3h3NmjXDkydPMHHixBIXRERERESkDo3HyO7evRvr1q3Dtm3bYGRkhF69emHPnj1o06ZNadRHRERERJQvjYNsjx498N577+HHH39E586dYWxsXBp1EREREREVSuMgm5iYCEtLy9KohYiIiIhIbRqPkbW0tMS1a9fwxRdfoG/fvnj48CEAYOfOnTh37pzWCyQiIiIiyo/GQfbAgQNo3Lgxjh07hi1btiA1NRUA8M8//yAyMlLrBRIRERER5UfjIDt58mR89dVXiImJUbktbPv27fH3339rtTgiIiIiooJoHGT//fdf9OjRI0+7vb09kpKStFIUEREREVFRNA6y1tbWePDgQZ7206dPw9nZWStFEREREREVReMg++GHH2LSpElISEiATCaDUqnE4cOHMWHCBAwcOLA0aiQiIiIiykPjIDtr1izUq1cPLi4uSE1NRYMGDdCmTRu0aNECX3zxRWnUSERERESUh0wIIYqz4O3bt3H27FmkpqaiadOmqFOnjrZrKxXavscvEREREalH2zlM4xsi5KpZsyZq1qxZ4gKIiIiIiIpDrSAbHh6u9grnz59f7GKIiIiIiNSlVpA9ffq0WiuTyWQlKoaIiIiISF1qBdl9+/aVdh1ERERERBrReNYCIiIiIqLygEGWiIiIiPQSgywRERER6SUGWSIiIiLSSxoH2YMHDyIrKytPe1ZWFg4ePKiVooiIiIiIiqJxkG3Xrh2ePHmSpz05ORnt2rXTSlFEREREREXROMgKIfKdL/bx48cwNzfXSlFEREREREVR+xa1PXv2BJBz04NBgwZBLpdLr2VnZ+PMmTNo0aKF9iskIiIiIsqH2kFWoVAAyDkja2lpCTMzM+k1ExMTvP322xg6dKj2KyQiIiIiyofaQXbVqlUAADc3N0yYMIHDCIiIiIhIpzQeI/vZZ5+pjJG9desWoqOjsWfPHq0WRkRERERUGI2DbLdu3fDjjz8CAJ49ewZfX1/MmzcP3bp1w9KlS7VeoM5lZgLZ2Tl/EhEREVG5oXGQPXXqFFq3bg0A2Lx5MxwdHXHr1i38+OOPWLRokdYL1Ln9+4GJE3P+JCIiIqJyQ+0xsrlevHgBS0tLAMCePXvQs2dPGBgY4O2338atW7e0XqDOZGbmhNeOHXOeL1gAxMQAAQGAsbFOSyMiIiKiYpyRrV27NrZt24Y7d+5g9+7d6Pj/g97Dhw9hZWWl9QJ1xsAA2LlTtW3Hjpx2IiIiItI5jVNZREQEJkyYADc3N/j5+cHf3x9AztnZpk2bar1AnVEqgU6dVNs6d85pJyIiIiKdkwkhhKYLJSQk4MGDB/D09ITB/z9Defz4cVhZWaFevXpaL1KbUlJSoFAokJycrN4Z5L17c87Edu4MBAaWfoFEREREFZTGOawIxQqy+kzjDZiZmTOcQKnk2FgiIiKiEtB2kNX4Yq927dqpzCP7pj///LNEBZU7ueHV0FC3dRARERGRCo2DrJeXl8rzzMxMxMfH4+zZswgJCdFWXUREREREhdI4yC5YsCDf9mnTpiE1NbXEBRERERERqUNrc0n1798fP/zwg7ZWR0RERERUKK0F2aNHj8LU1LRYyy5ZsgRubm4wNTWFn58fjh8/rtZy69evh0wmQ/fu3Yv1vkRERESkvzQeWtCzZ0+V50IIPHjwACdPnsTUqVM1LmDDhg0IDw/HsmXL4Ofnh+joaAQFBeHSpUuwt7cvcLmbN29iwoQJ0u1yiYiIiKhy0fiMrEKhUHlUrVoVbdu2xY4dOxAZGalxAfPnz8fQoUMRGhqKBg0aYNmyZahSpUqhwxSys7Px0UcfYfr06ahVq5bG70lERERE+k+jM7LZ2dkIDQ1F48aNYWNjU+I3z8jIQFxcHKZMmSK1GRgYIDAwEEePHi1wuRkzZsDe3h6DBw/GoUOHSlwHEREREekfjYKsoaEhOnbsiAsXLmglyCYlJSE7OxsODg4q7Q4ODrh48WK+y/z111/473//i/j4eLXeIz09Henp6dLzlJSUYtdLREREROWHxkMLGjVqhOvXr5dGLUV6/vw5BgwYgBUrVsDW1latZaKiolSGQri4uJRylURERERUFjS+2Ourr77ChAkT8OWXX8Lb2xvm5uYqr2tyuzFbW1sYGhoiMTFRpT0xMRGOjo55+l+7dg03b95E165dpTalUgkAMDIywqVLl+Dh4aGyzJQpUxAeHi49T0lJYZglIiIiqgDUDrIzZszA+PHj0blzZwDA+++/r3KrWiEEZDIZsrOz1X5zExMTeHt7IzY2VppCS6lUIjY2FqNGjcrTv169evj3339V2r744gs8f/4cCxcuzDegyuVyyOVytWsiIiIiIv2gdpCdPn06hg8fjn379mm1gPDwcISEhMDHxwe+vr6Ijo5GWloaQkNDAQADBw6Es7MzoqKiYGpqikaNGqksb21tDQB52omIiIioYlM7yAohAAABAQFaLSA4OBiPHj1CREQEEhIS4OXlhV27dkkXgN2+fRsGBlq7bwMRERERVRAykZtQi2BgYIDExETY2dmVdk2lKiUlBQqFAsnJyRqN5yUiIiKiktF2DtPoYq+6deuqjIvNz5MnT0pUEBERERGROjQKstOnT4dCoSitWiqOzEzAwABQKgFjY11XQ0RERFQhaRRkP/zwQ9jb25dWLRXH/v3Azp1Ap07AO+/ouhoiIiKiCkntIFvUkAJCzpnY/fuBjh1zni9YAMTEAAEBPDNLREREpGVqTweg5jVhlZuBQc6Z2Nft2JHTTkRERERapXbCUiqVHFZQFKUyZzjB6zp3zmknIiIiIq3S+Ba1VAhj45wxsTExOWdiO3cGAgN1XRURERFRhcQgWxoCAoB27XgmloiIiKgUMciWhtwLuwwNdVsHERERUQXGq5CIiIiISC8xyBIRERGRXmKQJSIiIiK9xCBLRERERHqJQZaIiIiI9BKDLBERERHpJQZZIiIiItJLDLLlQWYmkJ2d8ycRERERqYVBtjzYvx+YODHnTyIiIiJSC+/spUuZmTnhtWPHnOcLFgAxMTm3uM29OxgRERER5YtnZHXJwADYuVO1bceOnHYiIiIiKhQTky4plUCnTqptnTvntBMRERFRoTi0QJeMjYF33skZTrBjR06IDQzUdVVEREREeoFBtjwICADateOZWCIiIiINMMiWB7kXdhka6rYOIiIiIj3CMbJEREREpJcYZImIiIhILzHIEhEREZFeYpDVR7ylLRERERGDrF7iLW2JiIiIOGuBXuEtbYmIiIgkPCOrT3hLWyIiIiIJE5A+4S1tiYiIiCQcWqBPeEtbIiIiIgmDrD7iLW2JiIiIGGT1Em9pS0RERMQxspUC550lIiKiCohBtjLgvLNERERUAXFoQUXGeWeJiIioAuMZ2YqM884SERFRBcZEU5Fx3lkiIiKqwMpFkF2yZAnc3NxgamoKPz8/HD9+vMC+K1asQOvWrWFjYwMbGxsEBgYW2r9Se33e2XHjcv4MDOSwAiIiIqoQdB5kN2zYgPDwcERGRuLUqVPw9PREUFAQHj58mG///fv3o2/fvti3bx+OHj0KFxcXdOzYEffu3SvjyvVIQADw9dc5fxIRERFVEDIhhNBlAX5+fmjevDm+/fZbAIBSqYSLiws+/fRTTJ48ucjls7OzYWNjg2+//RYDBw4ssn9KSgoUCgWSk5NhZWVV4vorpMzMnHG0SiXP3hIREZHWaDuH6fSMbEZGBuLi4hD42m1WDQwMEBgYiKNHj6q1jhcvXiAzMxNVq1YtrTIrH07XRURERHpAp9NvJSUlITs7Gw4ODirtDg4OuHjxolrrmDRpEpycnFTC8OvS09ORnp4uPU9JSSl+wRUdp+siIiIiPaLzMbIlMXv2bKxfvx5bt26Fqalpvn2ioqKgUCikh4uLSxlXqUc4XRcRERHpEZ0mFFtbWxgaGiIxMVGlPTExEY6OjoUu+80332D27NnYs2cPmjRpUmC/KVOmIDk5WXrcuXNHK7VXSJyui4iIiPSIToOsiYkJvL29ERsbK7UplUrExsbC39+/wOXmzp2LL7/8Ert27YKPj0+h7yGXy2FlZaXyoAKUZLquzEwgOzvnTyIiIqIyoPNb1IaHhyMkJAQ+Pj7w9fVFdHQ00tLSEBoaCgAYOHAgnJ2dERUVBQCYM2cOIiIisG7dOri5uSEhIQEAYGFhAQsLC519jgolIABo106zM7H79+cMS+jUKScMExEREZUynQfZ4OBgPHr0CBEREUhISICXlxd27dolXQB2+/ZtGLw2RnPp0qXIyMhAr169VNYTGRmJadOmlWXpFVfuGVhDw6L78gIxIiIi0hGdzyNb1jiPrJZlZ+dM1bVgwf+1jRuXcwMGdYIwERERVRoVah5ZqgCKe4EYx9QSERFRCel8aAHpudcvENuxIyfEFjCnrwqOqSUiIqIS4tAC0g51b2v75phagGNqiYiIKgkOLaDyydg4Z0xsUWGUN10gIiIiLWF6oLLFMbVERESkJRwjS2WLY2qJiIhISzhGlnSjtMfUqrt+IiIiKjMcI0sVQ2mPqd2/P2d+2/37S1IlERERlWMMslS+aTqmNjMz54xtx445N2no2BHYu5dja4mIiCogBlkq314fUztuXM6fgYEFn8kt7hlcXkxGRESkdxhkST8EBOTc9jYgoPB+xZ0VgUMRiIiI9A4v9qKKae9e9WZFKMkNGnhBGRERkUa0ncM4/RZVTAEBQLt2RZ+JLWgoQrt2Rb8HpwQjIiLSKQ4toIpJ3VkRijMUobgXlHEcLhERkVYxyFLlpunFZACnBCMiIionOEaWCNBsvKum42p5UwciIiIAvCECUelQdyhCbt+ymBJM0zO4HLpARESVDM/IEhVXad1mt7hncGNiePEZERGVazwjS1ReqHsWt7TP4PLiMyIiqqQYZInKSmnd1KEsLz5j+CUionKEQZaorJTWGVxNg29xz+ACHLdLRETlCm+IQFReqXtTh9eDrzp3MyvOTSDeHLe7YIF643Y1vWkEZ2ogIiIN8IwsUXmlyUwKQOkNXQDKbtwuz/gSEZEGGGSJKorSGroAlP643fIcfBmWiYjKLQZZospK3TO4QOmP2y2vwbc4yzD4EhGVGQZZospK06ELgPrhtyIE3/J6lphBmYhIwiBLROorrXG75S34FmeZsgq+HE5BRCRhkCWi0qOvwbc4y5R28K1IwykYlIlISxhkiaj8KC/BtzjLlHbwrUjDKRiUiUhLGGSJSH+VVvAtzjKlHXwrwnCK8hqUc2srzbDMcE1UKhhkiajyKM4FbuXlLHFFGE5RXoMyUPphuTyehWa4pgqAQZaISJtK+yyxPg+nKG9BGSj9sFyez0KXt3DNs9xUDAyyRES6pGnw1efhFOUtKAOlH5bL41no8hquK+MQEob3khOVTHJysgAgkpOTdV0KEVHFkJEhRFZWzp+l0T8mRohx43L+1Hb/jAwh9uwRAvi/R0xMwbWVdv+srJzaX+8/blxOuzb6F2eZ8raNNO3/uj17cj7rnj1F960I/YUo/Z9PDfsnJyVpNYcxyBIRUflW2v8QC1G6YVmT/mUR6spbuC6L8F7ewnUlDu/JW7cyyJYEgywREeVRzs5alXqw1mSZ8hbSihPqylu4rsThPRnQag7jGFkiIqLSHqtcXi4CLM4ypT0WurT7A6U/3rq89QfK3/jv/PprgUwIIbS+1nIsJSUFCoUCycnJsLKy0nU5RERE+iEzMyeMKJXqBfLy1h/Iuahtx46cEBgYWLH7Z2bmXAjXseP/tcXE5PzHJb/tVUb9Uzp2hALQWg5jkCUiIqLKobyF60oY3lN++w2K7t0ZZIuLQZaIiIgqjXIWrlMeP4bC1lZrOaxcjJFdsmQJ3NzcYGpqCj8/Pxw/frzQ/ps2bUK9evVgamqKxo0bY8eOHWVUKREREZEeKW/jvzW5s6IadB5kN2zYgPDwcERGRuLUqVPw9PREUFAQHj58mG//I0eOoG/fvhg8eDBOnz6N7t27o3v37jh79mwZV05EREREuqTzoQV+fn5o3rw5vv32WwCAUqmEi4sLPv30U0yePDlP/+DgYKSlpeGPP/6Q2t5++214eXlh2bJlRb4fhxYQERER6Ya2c5hOz8hmZGQgLi4Oga8NDjYwMEBgYCCOHj2a7zJHjx5V6Q8AQUFBBfYnIiIioorJSJdvnpSUhOzsbDg4OKi0Ozg44OLFi/kuk5CQkG//hISEfPunp6cjPT1dep6cnAwg538ERERERFR2cvOXtgYE6DTIloWoqChMnz49T7uLi4sOqiEiIiKix48fQ6FQlHg9Og2ytra2MDQ0RGJiokp7YmIiHB0d813G0dFRo/5TpkxBeHi49PzZs2dwdXXF7du3tbIBqXxKSUmBi4sL7ty5w7HQFRj3c+XA/Vw5cD9XDsnJyahZsyaqVq2qlfXpNMiamJjA29sbsbGx6N69O4Cci71iY2MxatSofJfx9/dHbGwsxo4dK7XFxMTA398/3/5yuRxyuTxPu0Kh4A9KJWBlZcX9XAlwP1cO3M+VA/dz5WBQ0K1sNaTzoQXh4eEICQmBj48PfH19ER0djbS0NISGhgIABg4cCGdnZ0RFRQEAxowZg4CAAMybNw9dunTB+vXrcfLkSSxfvlyXH4OIiIiIypjOg2xwcDAePXqEiIgIJCQkwMvLC7t27ZIu6Lp9+7ZKam/RogXWrVuHL774Ap9//jnq1KmDbdu2oVGjRrr6CERERESkAzoPsgAwatSoAocS7N+/P09b79690bt372K9l1wuR2RkZL7DDaji4H6uHLifKwfu58qB+7ly0PZ+1vkNEYiIiIiIikPnt6glIiIiIioOBlkiIiIi0ksMskRERESklypdkF2yZAnc3NxgamoKPz8/HD9+XNclUQkcPHgQXbt2hZOTE2QyGbZt26byuhACERERqF69OszMzBAYGIgrV67oplgqtqioKDRv3hyWlpawt7dH9+7dcenSJZU+r169QlhYGKpVqwYLCwt88MEHeW6eQuXb0qVL0aRJE2keUX9/f+zcuVN6nfu44pk9ezZkMpnK3PDczxXDtGnTIJPJVB716tWTXtfWfq5UQXbDhg0IDw9HZGQkTp06BU9PTwQFBeHhw4e6Lo2KKS0tDZ6enliyZEm+r8+dOxeLFi3CsmXLcOzYMZibmyMoKAivXr0q40qpJA4cOICwsDD8/fffiImJQWZmJjp27Ii0tDSpz7hx4/D7779j06ZNOHDgAO7fv4+ePXvqsGrSVI0aNTB79mzExcXh5MmTaN++Pbp164Zz584B4D6uaE6cOIHvv/8eTZo0UWnnfq44GjZsiAcPHkiPv/76S3pNa/tZVCK+vr4iLCxMep6dnS2cnJxEVFSUDqsibQEgtm7dKj1XKpXC0dFRfP3111Lbs2fPhFwuF7/88osOKiRtefjwoQAgDhw4IITI2a/GxsZi06ZNUp8LFy4IAOLo0aO6KpO0wMbGRqxcuZL7uIJ5/vy5qFOnjoiJiREBAQFizJgxQgj+LFckkZGRwtPTM9/XtLmfK80Z2YyMDMTFxSEwMFBqMzAwQGBgII4eParDyqi03LhxAwkJCSr7XKFQwM/Pj/tczyUnJwOAdK/uuLg4ZGZmquzrevXqoWbNmtzXeio7Oxvr169HWloa/P39uY8rmLCwMHTp0kVlfwL8Wa5orly5AicnJ9SqVQsfffQRbt++DUC7+7lc3BChLCQlJSE7O1u6Y1guBwcHXLx4UUdVUWlKSEgAgHz3ee5rpH+USiXGjh2Lli1bSnf0S0hIgImJCaytrVX6cl/rn3///Rf+/v549eoVLCwssHXrVjRo0ADx8fHcxxXE+vXrcerUKZw4cSLPa/xZrjj8/PywevVqvPXWW3jw4AGmT5+O1q1b4+zZs1rdz5UmyBJRxRAWFoazZ8+qjLWiiuOtt95CfHw8kpOTsXnzZoSEhODAgQO6Lou05M6dOxgzZgxiYmJgamqq63KoFHXq1En6e5MmTeDn5wdXV1ds3LgRZmZmWnufSjO0wNbWFoaGhnmuiEtMTISjo6OOqqLSlLtfuc8rjlGjRuGPP/7Avn37UKNGDand0dERGRkZePbsmUp/7mv9Y2Jigtq1a8Pb2xtRUVHw9PTEwoULuY8riLi4ODx8+BDNmjWDkZERjIyMcODAASxatAhGRkZwcHDgfq6grK2tUbduXVy9elWrP8+VJsiamJjA29sbsbGxUptSqURsbCz8/f11WBmVFnd3dzg6Oqrs85SUFBw7doz7XM8IITBq1Chs3boVf/75J9zd3VVe9/b2hrGxscq+vnTpEm7fvs19reeUSiXS09O5jyuIDh064N9//0V8fLz08PHxwUcffST9nfu5YkpNTcW1a9dQvXp1rf48V6qhBeHh4QgJCYGPjw98fX0RHR2NtLQ0hIaG6ro0KqbU1FRcvXpVen7jxg3Ex8ejatWqqFmzJsaOHYuvvvoKderUgbu7O6ZOnQonJyd0795dd0WTxsLCwrBu3Tr89ttvsLS0lMZQKRQKmJmZQaFQYPDgwQgPD0fVqlVhZWWFTz/9FP7+/nj77bd1XD2pa8qUKejUqRNq1qyJ58+fY926ddi/fz92797NfVxBWFpaSmPbc5mbm6NatWpSO/dzxTBhwgR07doVrq6uuH//PiIjI2FoaIi+fftq9+e5BDMr6KXFixeLmjVrChMTE+Hr6yv+/vtvXZdEJbBv3z4BIM8jJCRECJEzBdfUqVOFg4ODkMvlokOHDuLSpUu6LZo0lt8+BiBWrVol9Xn58qUYOXKksLGxEVWqVBE9evQQDx480F3RpLGPP/5YuLq6ChMTE2FnZyc6dOgg9uzZI73OfVwxvT79lhDczxVFcHCwqF69ujAxMRHOzs4iODhYXL16VXpdW/tZJoQQWgzgRERERERlotKMkSUiIiKiioVBloiIiIj0EoMsEREREeklBlkiIiIi0ksMskRERESklxhkiYiIiEgvMcgSERERkV5ikCUiIiIivcQgS0SV0s2bNyGTyRAfH6/rUiQXL17E22+/DVNTU3h5eeXbp23bthg7dmyZ1lUWBg0axFtHE5HGGGSJSCcGDRoEmUyG2bNnq7Rv27YNMplMR1XpVmRkJMzNzXHp0iXExsbm22fLli348ssv1V5neQvsBdWzcOFCrF69Wic1EZH+YpAlIp0xNTXFnDlz8PTpU12XojUZGRnFXvbatWto1aoVXF1dUa1atXz7VK1aFZaWlsV+j5LIzMwstXUrFApYW1uX2vqJqGJikCUinQkMDISjoyOioqIK7DNt2rQ8X7NHR0fDzc1Nep77tfSsWbPg4OAAa2trzJgxA1lZWZg4cSKqVq2KGjVqYNWqVXnWf/HiRbRo0QKmpqZo1KgRDhw4oPL62bNn0alTJ1hYWMDBwQEDBgxAUlKS9Hrbtm0xatQojB07Fra2tggKCsr3cyiVSsyYMQM1atSAXC6Hl5cXdu3aJb0uk8kQFxeHGTNmQCaTYdq0afmu582hBW5ubpg1axY+/vhjWFpaombNmli+fLn0uru7OwCgadOmkMlkaNu2rfTaypUrUb9+fZiamqJevXr47rvvpNdyz5xu2LABAQEBMDU1xc8//4zHjx+jb9++cHZ2RpUqVdC4cWP88ssveT7r3LlzUbt2bcjlctSsWRMzZ84stJ43hxakp6dj9OjRsLe3h6mpKVq1aoUTJ05Ir+/fvx8ymQyxsbHw8fFBlSpV0KJFC1y6dEnq888//6Bdu3awtLSElZUVvL29cfLkyXy3KxHpJwZZItIZQ0NDzJo1C4sXL8bdu3dLtK4///wT9+/fx8GDBzF//nxERkbivffeg42NDY4dO4bhw4dj2LBhed5n4sSJGD9+PE6fPg1/f3907doVjx8/BgA8e/YM7du3R9OmTXHy5Ens2rULiYmJ6NOnj8o61qxZAxMTExw+fBjLli3Lt76FCxdi3rx5+Oabb3DmzBkEBQXh/fffx5UrVwAADx48QMOGDTF+/Hg8ePAAEyZMUPuzz5s3Dz4+Pjh9+jRGjhyJESNGSIHu+PHjAIC9e/fiwYMH2LJlCwDg559/RkREBGbOnIkLFy5g1qxZmDp1KtasWaOy7smTJ2PMmDG4cOECgoKC8OrVK3h7e2P79u04e/YsPvnkEwwYMEB6HwCYMmUKZs+ejalTp+L8+fNYt24dHBwcCq3nTZ999hl+/fVXrFmzBqdOnULt2rURFBSEJ0+eqPT7z3/+g3nz5uHkyZMwMjLCxx9/LL320UcfoUaNGjhx4gTi4uIwefJkGBsbq71diUgPCCIiHQgJCRHdunUTQgjx9ttvi48//lgIIcTWrVvF67+aIiMjhaenp8qyCxYsEK6urirrcnV1FdnZ2VLbW2+9JVq3bi09z8rKEubm5uKXX34RQghx48YNAUDMnj1b6pOZmSlq1Kgh5syZI4QQ4ssvvxQdO3ZUee87d+4IAOLSpUtCCCECAgJE06ZNi/y8Tk5OYubMmSptzZs3FyNHjpSee3p6isjIyELXExAQIMaMGSM9d3V1Ff3795eeK5VKYW9vL5YuXaryOU+fPq2yHg8PD7Fu3TqVti+//FL4+/urLBcdHV3kZ+vSpYsYP368EEKIlJQUIZfLxYoVK/LtW1A9rx8PqampwtjYWPz888/S6xkZGcLJyUnMnTtXCCHEvn37BACxd+9eqc/27dsFAPHy5UshhBCWlpZi9erVRdZPRPrLSHcRmogox5w5c9C+fXuNzkK+qWHDhjAw+L8vmRwcHNCoUSPpuaGhIapVq4aHDx+qLOfv7y/93cjICD4+Prhw4QKAnK+m9+3bBwsLizzvd+3aNdStWxcA4O3tXWhtKSkpuH//Plq2bKnS3rJlS/zzzz9qfsKCNWnSRPq7TCaDo6Njns/5urS0NFy7dg2DBw/G0KFDpfasrCwoFAqVvj4+PirPs7OzMWvWLGzcuBH37t1DRkYG0tPTUaVKFQDAhQsXkJ6ejg4dOhT781y7dg2ZmZkq28vY2Bi+vr7Svsn1+mevXr06AODhw4eoWbMmwsPDMWTIEKxduxaBgYHo3bs3PDw8il0XEZU/DLJEpHNt2rRBUFAQpkyZgkGDBqm8ZmBgACGESlt+Fx29+ZWxTCbLt02pVKpdV2pqKrp27Yo5c+bkeS03NAGAubm52ussDZp+ztTUVADAihUr4Ofnp/KaoaGhyvM3P9vXX3+NhQsXIjo6Go0bN4a5uTnGjh0rXeRmZmZW7M9RHK9/9tzZLnI/+7Rp09CvXz9s374dO3fuRGRkJNavX48ePXqUaY1EVHo4RpaIyoXZs2fj999/x9GjR1Xa7ezskJCQoBJmtTmV1N9//y39PSsrC3Fxcahfvz4AoFmzZjh37hzc3NxQu3ZtlYcm4dXKygpOTk44fPiwSvvhw4fRoEED7XyQApiYmADIOZOay8HBAU5OTrh+/Xqez5V7MVZBDh8+jG7duqF///7w9PRErVq1cPnyZen1OnXqwMzMrMDpw/Kr500eHh7SmONcmZmZOHHihMbbq27duhg3bhz27NmDnj175nvBHxHpL56RJaJyoXHjxvjoo4+waNEilfa2bdvi0aNHmDt3Lnr16oVdu3Zh586dsLKy0sr7LlmyBHXq1EH9+vWxYMECPH36VLpgKCwsDCtWrEDfvn3x2WefoWrVqrh69SrWr1+PlStX5jl7WZiJEyciMjISHh4e8PLywqpVqxAfH4+ff/5ZK5+jIPb29jAzM8OuXbtQo0YNmJqaQqFQYPr06Rg9ejQUCgXeffddpKen4+TJk3j69CnCw8MLXF+dOnWwefNmHDlyBDY2Npg/fz4SExOlgGlqaopJkybhs88+g4mJCVq2bIlHjx7h3LlzGDx4cIH1vM7c3BwjRoyQZpyoWbMm5s6dixcvXmDw4MFqfe6XL19i4sSJ6NWrF9zd3XH37l2cOHECH3zwQfE3JhGVOzwjS0TlxowZM/J8JV6/fn189913WLJkCTw9PXH8+PESjaV90+zZszF79mx4enrir7/+wv/+9z/Y2toCgHQWNTs7Gx07dkTjxo0xduxYWFtbq4zHVcfo0aMRHh6O8ePHo3Hjxti1axf+97//oU6dOlr7LPkxMjLCokWL8P3338PJyQndunUDAAwZMgQrV67EqlWr0LhxYwQEBGD16tVFnpH94osv0KxZMwQFBaFt27ZwdHTMc0euqVOnYvz48YiIiED9+vURHBwsjdktqJ43zZ49Gx988AEGDBiAZs2a4erVq9i9ezdsbGzU+tyGhoZ4/PgxBg4ciLp166JPnz7o1KkTpk+frtbyRKQfZOLNwWdERERERHqAZ2SJiIiISC8xyBIRERGRXmKQJSIiIiK9xCBLRERERHqJQZaIiIiI9BKDLBERERHpJQZZIiIiItJLDLJEREREpJcYZImIiIhILzHIEhEREZFeYpAlIiIiIr3EIEtEREREeun/AUSyMSwGEIUCAAAAAElFTkSuQmCC"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(50):\n",
    "    new_data = sub_logic.SubLog(False, {'r' : 0, 's': 1, 'a' : 0.9})\n",
    "    mygraph.add_direct_nodes('car3.8', new_data)\n",
    "    plt.rcParams[\"figure.figsize\"] = [7.00, 3.50]\n",
    "    plt.rcParams[\"figure.autolayout\"] = True\n",
    "    x = [i+1]\n",
    "    y = [mygraph.get_my_opinion('car3.8').trust()]\n",
    "    plt.xlim(0, 50)\n",
    "    plt.ylim(0, 1)\n",
    "    plt.grid()\n",
    "    plt.plot(x, y, marker=\"o\", markersize=4, markeredgecolor=\"white\", markerfacecolor=\"red\")\n",
    "plt.title(\"Trust levels with bad interactions and base rate 0.9\")\n",
    "plt.xlabel(\"Number of interactions\")\n",
    "plt.ylabel(\"Trust level\")\n",
    "plt.savefig('b09.png')\n",
    "print('# good interactions '+str(round(mygraph.get_my_opinion('car3.8').r)))\n",
    "print('# bad interactions '+str(round(mygraph.get_my_opinion('car3.8').s)))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# good interactions 0\n",
      "# bad interactions 51\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 700x350 with 1 Axes>",
      "image/png": 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EVq1aVaftK/iDKzQ0tNCxX758ObKysjS2AQDc3d0LLefBgwcYM2YMHB0dYWFhAXt7e6lfwfz37t1Denp6md6b99q1a6hXrx6MjDR/jRS8/Xvt2jWN9pLOBaVSiZiYGPz+++9wdHRE27ZtMWfOHCQnJ5dYiy77QJ9arl27BiMjo0JDZfQ9X+rVq6cxrVAoULduXY3z9/r16xg0aBCqVasGKysr2NvbIzAwUKN2XfZNwfnUoUOHQufTjh07iv1Z8jxt59jTp08RGRmJWrVqQalUws7ODvb29nj06JHW/fuil63NwsJC4zMIBZ49eyY9T68vjpGlSkPfH0Z5eXka023btsWlS5fw66+/YseOHVi+fDm++eYbLFmyBEOGDCmTGtVqNTw9PTFv3jytz9eqVUv6f0hICKZMmYINGzZg7NixWL9+PVQqFd555x2N5Tk4OODnn3/Wujx7e/sia2nYsCHOnz+P//3vf9i2bRv+85//4LvvvkNkZCRmzJhR5Hympqbw9/fH3r17cfHiRSQnJ6NNmzZwdHRETk4ODh8+jH379qFBgwbFrl8XRX2SWPz/8Z0v66effsKgQYPQvXt3TJw4EQ4ODjA2NkZ0dDQuXbpUJusozstsX8HV1q+++qrI23K9GLy1vUb69OmDgwcPYuLEifD29oaVlRXUajXeeeedQld0DUmXfTV27Fh07doVmzdvxvbt2zFt2jRER0fjjz/+QLNmzYpctr77oLzPS13l5eXh7bffxoMHDzBp0iQ0aNAAlpaWuHXrFgYNGqRRe0n7pqDv6tWrNcblF9D1jiPazrFPPvkEK1aswNixYxEQEACVSiXd9kqXc+xla6tRowZ27doFIYTGH4537twBkP9HL72+GGSp0qtatWqhT5dnZ2dLP8SeV61aNYSFhSEsLAwZGRlo27Ytpk+fLgXZ0ryF+jwPDw/89ddfeOutt0pclru7O/z8/LBu3TqMGjUKGzduRPfu3TXeIvPw8MDOnTvRqlWrUl1VsLS0REhICEJCQpCdnY2ePXviyy+/xJQpU4q9XVSbNm0QExODnTt3ws7ODg0aNIBCoUDjxo2xb98+7Nu3D++++26J63/Z/Vmc27dvF7r9zz///AMA0gdD4uLiUKdOHWzcuFGjlqioKI1lubq6IiEhARkZGRrh8Pz58+VWf4Gi9lHB1T4bGxsEBQWVatkPHz5EQkICZsyYgcjISKn9xeE19vb2sLGxwalTp0pVqzaurq44efIk1Gq1xlXZc+fOSc+XhoeHB8aPH4/x48fjwoUL8Pb2xty5c/HTTz9p7a/rPtCHq6sr1Go1Ll26pHEVVt/z5cUahBC4ePEimjZtCgD4+++/8c8//2DVqlUYOHCg1K/gTisvKm7fFJxPDg4OpT6fihIXF4fQ0FDMnTtXanv27Fmhn8slneulrc3b2xvLly/H2bNn0ahRI6n98OHD0vP0+uLQAqr0PDw8ND5lDwBLly4tdEX2xVvtWFlZoW7duhpvSRWEIl1vu/SiPn364NatW1i2bFmh554+fSp9yrdASEgI/vzzT/zwww9ITU3VGFZQsLy8vDx8/vnnhZaXm5tbbJ0vbq+ZmRkaNWoEIQRycnKK3Y42bdogKysLsbGxaN26tfQLqE2bNli9ejVu376t0/hYS0vLUu/LkuTm5uL777+XprOzs/H999/D3t4ePj4+AP7vytrzV9IOHz5c6HY8nTt3Rm5uLhYvXiy15eXlYeHCheVS+/OKOud8fHzg4eGBr7/+WrrF2fPu3btX4rK1bT8AxMbGakwbGRmhe/fu+O2333Ds2LFCyymYX5/XR+fOnZGcnKwxDjw3NxcLFy6ElZWV9Pa4rp48eSK9VVzAw8MD1tbWWt9WLqDrPtBHp06dAAALFix4qWX++OOPePz4sTQdFxeHO3fuSMvXVrsQAvPnz9dYji77Jjg4GDY2Npg1a5bW178u51NRjI2NC+3fhQsXFvoZXNT587K1devWDaampvjuu++kNiEElixZAhcXF+kuIED+Vdpz586V+DOQXh28IkuV3pAhQzB8+HC8//77ePvtt/HXX39h+/btsLOz0+jXqFEjtGvXDj4+PqhWrRqOHTuGuLg4jBo1SupTEIBGjx6N4OBgGBsbl/itMM8bMGAA1q9fj+HDh2PXrl1o1aoV8vLycO7cOaxfvx7bt2/X+DBNnz59MGHCBEyYMAHVqlUrdDUiMDAQw4YNQ3R0NJKSktCxY0eYmpriwoUL2LBhA+bPn69xz9nndezYEU5OTmjVqhUcHR1x9uxZfPvtt+jSpYvGB0y0CQgIgImJCc6fPy/dOgvIH55REPZ0CbI+Pj7YuXMn5s2bB2dnZ7i7u8Pf37/E+XTh7OyMmJgYXL16FfXr18e6deuQlJSEpUuXSrdrevfdd7Fx40b06NEDXbp0wZUrV7BkyRI0atRIIxx27doVrVq1wuTJk3H16lU0atQIGzdu1Gl838vy8PCAra0tlixZAmtra1haWsLf3x/u7u5Yvnw5OnXqhMaNGyMsLAwuLi64desWdu3aBRsbG/z222/FLtvGxkYaL5mTkwMXFxfs2LEDV65cKdR31qxZ2LFjBwIDA6Vbx925cwcbNmzA/v37YWtrC29vbxgbGyMmJgZpaWlQKpXo0KEDHBwcCi3v448/xvfff49BgwYhMTERbm5uiIuLw4EDBxAbG1viOfiif/75B2+99Rb69OmDRo0awcTEBJs2bUJKSkqxr1F99oGuvL290bdvX3z33XdIS0tDy5YtkZCQgIsXL+q1nGrVqqF169YICwtDSkoKYmNjUbduXQwdOhQA0KBBA3h4eGDChAm4desWbGxs8J///KfQGGtd9o2NjQ0WL16MAQMGoHnz5vjggw9gb2+P69evY8uWLWjVqpX0ZQL6evfdd7F69WqoVCo0atQIhw4dws6dO1G9evVC+62o8+dlaqtZsybGjh2Lr776Cjk5OWjRogU2b96Mffv24eeff9YYKjJlyhSsWrUKV65c0bil1xdffAEA0n1rV69ejf379wPI/9ZCkrGKv1ECve6Kuv1WUbeSysvLE5MmTRJ2dnaiSpUqIjg4WFy8eLHQ7be++OIL4efnJ2xtbYWFhYVo0KCB+PLLL6VbNQmRf8ulTz75RNjb2wuFQlHirbhevOWQEPm3GIqJiRGNGzcWSqVSVK1aVfj4+IgZM2aItLS0Qsto1aqVACCGDBlS5HqWLl0qfHx8hIWFhbC2thaenp7i008/Fbdv3y6ylu+//160bdtWVK9eXSiVSuHh4SEmTpyotQZtWrRoIQCIw4cPS203b94UAEStWrUK9dd2+61z586Jtm3bCgsLCwFAOh4Ffe/du6fRv+AWP1euXCm2toLz4dixYyIgIECYm5sLV1dX8e2332r0U6vVYtasWcLV1VUolUrRrFkz8b///U+EhoYKV1dXjb73798XAwYMEDY2NkKlUokBAwaIEydOvNTtt7Sds9rW/euvv4pGjRoJExOTQus7ceKE6Nmzp3QcXV1dRZ8+fURCQoLUp6j9KUT+MevRo4ewtbUVKpVK9O7dW9y+fVvrbaKuXbsmBg4cKOzt7YVSqRR16tQR4eHhGrcwW7ZsmahTp44wNjbW2GZtr4WUlBQRFhYm7OzshJmZmfD09Cy0Lwtuv6Xt1lHP15iamirCw8NFgwYNhKWlpVCpVMLf31+sX7++0Hyl3Qf6nJdPnz4Vo0ePFtWrVxeWlpaia9eu4saNG3rdfuuXX34RU6ZMEQ4ODsLCwkJ06dJFuqVWgTNnzoigoCBhZWUl7OzsxNChQ8Vff/2lcZ7os2927dolgoODhUqlEubm5sLDw0MMGjRIHDt2rNiaC/aBttuzPXz4UDrOVlZWIjg4WJw7d67Qz2Ahij5/XqY2IfJ/DxS81s3MzETjxo01bv1WIDQ0VOvPGABFPkjeFEJU8Oh2IiIiIqIywDGyRERERCRLDLJEREREJEsMskREREQkSwYNsnv37kXXrl3h7OwMhUKBzZs3lzjP7t270bx5cyiVStStWxcrV64s9zqJiIiIqPIxaJDNzMyEl5cXFi1apFP/K1euoEuXLmjfvj2SkpIwduxYDBkyBNu3by/nSomIiIiosqk0dy1QKBTYtGkTunfvXmSfSZMmYcuWLRrfTvPBBx/g0aNH2LZtWwVUSURERESVhay+EOHQoUOFbigfHByMsWPHFjlPVlaWxrfCqNVqPHjwANWrVy/Xr9ckIiIiIk1CCDx+/BjOzs4aX29dWrIKssnJyXB0dNRoc3R0RHp6Op4+far1u+qjo6MxY8aMiiqRiIiIiEpw48YN1KxZ86WXI6sgWxpTpkxBRESENJ2WlobatWvjxo0bsLGxMWBlRERERK+X9PR01KpVS++vsS6KrIKsk5MTUlJSNNpSUlJgY2Oj9WosACiVSiiVykLtNjY2DLJEREREBlBWwztldR/ZgIAAJCQkaLTFx8cjICDAQBURERERkaEYNMhmZGQgKSkJSUlJAPJvr5WUlITr168DyB8WMHDgQKn/8OHDcfnyZXz66ac4d+4cvvvuO6xfvx7jxo0zRPlEREREZEAGDbLHjh1Ds2bN0KxZMwBAREQEmjVrhsjISADAnTt3pFALAO7u7tiyZQvi4+Ph5eWFuXPnYvny5QgODjZI/URERERkOJXmPrIVJT09HSqVCmlpaRwjS0RERFSByjqHyWqMLBERERFRAQZZIiIiIpIlBlkiIiIikiUGWSIiIiKSJQZZIiIiIpIlBlkiIiIikiUGWSIiIiKSJQZZIiIiIpIlBlkiIiIikiUGWSIiIiKSJQZZIiIiIpIlBlkiIiIikiUGWSIiIiKSJQZZIiIiIpIlBlkiIiIikiUGWSIiIiKSJQZZIiIiIpIlBlkiIiIikiUGWSIiIiKSJQZZIiIiIpIlBlkiIiIikiUGWSIiIiKSJQZZIiIiIpIlBlkiIiIikiUGWSIiIiKSJQZZIiIiIpIlBlkiIiIikiUGWSIiIiKSJQZZIiIiIpIlBlkiIiIikiUGWSIiIiKSJQZZIiIiIpIlBlkiIiIikiUGWSIiIiKSJQZZIiIiIpIlBlkiIiIikiUGWSIiIiKSJQZZIiIiIpIlBlkiIiIikiUGWSIiIiKSJYMH2UWLFsHNzQ3m5ubw9/fHkSNHiu0fGxuLN954AxYWFqhVqxbGjRuHZ8+eVVC1RERERFRZGDTIrlu3DhEREYiKisLx48fh5eWF4OBg3L17V2v/NWvWYPLkyYiKisLZs2fx73//G+vWrcNnn31WwZUTERERkaEZNMjOmzcPQ4cORVhYGBo1aoQlS5agSpUq+OGHH7T2P3jwIFq1aoV+/frBzc0NHTt2RN++fUu8iktERERErx6DBdns7GwkJiYiKCjo/4oxMkJQUBAOHTqkdZ6WLVsiMTFRCq6XL1/G1q1b0blz5yLXk5WVhfT0dI0HEREREcmfiaFWnJqairy8PDg6Omq0Ozo64ty5c1rn6devH1JTU9G6dWsIIZCbm4vhw4cXO7QgOjoaM2bMKNPaiYiIiMjwDP5hL33s3r0bs2bNwnfffYfjx49j48aN2LJlCz7//PMi55kyZQrS0tKkx40bNyqwYiIiIiIqLwa7ImtnZwdjY2OkpKRotKekpMDJyUnrPNOmTcOAAQMwZMgQAICnpycyMzPx8ccf41//+heMjArncqVSCaVSWfYbQEREREQGZbArsmZmZvDx8UFCQoLUplarkZCQgICAAK3zPHnypFBYNTY2BgAIIcqvWCIiIiKqdAx2RRYAIiIiEBoaCl9fX/j5+SE2NhaZmZkICwsDAAwcOBAuLi6Ijo4GAHTt2hXz5s1Ds2bN4O/vj4sXL2LatGno2rWrFGiJiIiI6PVg0CAbEhKCe/fuITIyEsnJyfD29sa2bdukD4Bdv35d4wrs1KlToVAoMHXqVNy6dQv29vbo2rUrvvzyS0NtAhEREREZiEK8Zu/Jp6enQ6VSIS0tDTY2NoYuh4iIiOi1UdY5TFZ3LSAiIiIiKsAgS0RERESyxCBLRERERLLEIEtEREREssQgS0RERESyxCBLRERERLLEIEtEREREssQgS0RERESyxCBLRERERLLEIEtEREREssQgS0RERESyxCBLRERERLLEIEtEREREssQgS0RERESyxCBLRERERLLEIEtEREREssQgS0RERESyxCBLRERERLLEIEtEREREssQgS0RERESyxCBLRERERLLEIEtEREREssQgS0RERESyxCBLRERERLLEIEtEREREssQgS0RERESyxCBLRERERLLEIEtEREREssQgS0RERESyxCBLRERERLLEIEtEREREssQgS0RERESyxCBLRERERLLEIEtEREREssQgS0RERESyxCBLRERERLJkokunnj176rzAjRs3lroYIiIiIiJd6RRkVSpVeddBRERERKQXnYLsihUryrsOIiIiIiK9lGqMbG5uLnbu3Invv/8ejx8/BgDcvn0bGRkZZVocEREREVFR9A6y165dg6enJ7p164bw8HDcu3cPABATE4MJEyboXcCiRYvg5uYGc3Nz+Pv748iRI8X2f/ToEcLDw1GjRg0olUrUr18fW7du1Xu9RERERCRvegfZMWPGwNfXFw8fPoSFhYXU3qNHDyQkJOi1rHXr1iEiIgJRUVE4fvw4vLy8EBwcjLt372rtn52djbfffhtXr15FXFwczp8/j2XLlsHFxUXfzSAiIiIimdNpjOzz9u3bh4MHD8LMzEyj3c3NDbdu3dJrWfPmzcPQoUMRFhYGAFiyZAm2bNmCH374AZMnTy7U/4cffsCDBw9w8OBBmJqaSuslIiIioteP3ldk1Wo18vLyCrXfvHkT1tbWOi8nOzsbiYmJCAoK+r9ijIwQFBSEQ4cOaZ3nv//9LwICAhAeHg5HR0c0adIEs2bN0lpPgaysLKSnp2s8iIiIiEj+9A6yHTt2RGxsrDStUCiQkZGBqKgodO7cWeflpKamIi8vD46Ojhrtjo6OSE5O1jrP5cuXERcXh7y8PGzduhXTpk3D3Llz8cUXXxS5nujoaKhUKulRq1YtnWskIiIiospL7yA7d+5cHDhwAI0aNcKzZ8/Qr18/aVhBTExMedQoUavVcHBwwNKlS+Hj44OQkBD861//wpIlS4qcZ8qUKUhLS5MeN27cKNcaiYiIiKhi6D1GtmbNmvjrr7+wdu1anDx5EhkZGRg8eDA+/PBDjQ9/lcTOzg7GxsZISUnRaE9JSYGTk5PWeWrUqAFTU1MYGxtLbQ0bNkRycjKys7MLjdsFAKVSCaVSqXNdRERERCQPegfZZ8+ewdzcHP3793+pFZuZmcHHxwcJCQno3r07gPwrrgkJCRg1apTWeVq1aoU1a9ZArVbDyCj/YvI///yDGjVqaA2xRERERPTq0ntogYODA0JDQxEfHw+1Wv1SK4+IiMCyZcuwatUqnD17FiNGjEBmZqZ0F4OBAwdiypQpUv8RI0bgwYMHGDNmDP755x9s2bIFs2bNQnh4+EvVQURERETyo/cV2VWrVmHNmjXo1q0bVCoVQkJC0L9/f/j6+uq98pCQENy7dw+RkZFITk6Gt7c3tm3bJn0A7Pr169KVVwCoVasWtm/fjnHjxqFp06ZwcXHBmDFjMGnSJL3XTURERETyphBCiNLM+PjxY8TFxeGXX37BH3/8gTp16qB///6IjIws6xrLVHp6OlQqFdLS0mBjY2PocoiIiIheG2Wdw0odZJ935swZfPjhhzh58mSx93StDBhkiYiIiAyjrHOY3mNkCzx79gzr169H9+7d0bx5czx48AATJ0586YKIiIiIiHSh9xjZ7du3Y82aNdi8eTNMTEzQq1cv7NixA23bti2P+oiIiIiItNI7yPbo0QPvvvsufvzxR3Tu3BmmpqblURcRERERUbH0DrIpKSmwtrYuj1qIiIiIiHSm9xhZa2trXLp0CVOnTkXfvn1x9+5dAMDvv/+O06dPl3mBRERERETa6B1k9+zZA09PTxw+fBgbN25ERkYGAOCvv/5CVFRUmRdIRERERKSN3kF28uTJ+OKLLxAfH6/xtbAdOnTAn3/+WabFEREREREVRe8g+/fff6NHjx6F2h0cHJCamlomRRERERERlUTvIGtra4s7d+4Uaj9x4gRcXFzKpCgiIiIiopLoHWQ/+OADTJo0CcnJyVAoFFCr1Thw4AAmTJiAgQMHlkeNRERERESF6B1kZ82ahQYNGqBWrVrIyMhAo0aN0LZtW7Rs2RJTp04tjxqJiIiIiApRCCFEaWa8fv06Tp06hYyMDDRr1gz16tUr69rKRVl/xy8RERER6aasc5jeX4hQoHbt2qhdu/ZLF0BEREREVBo6BdmIiAidFzhv3rxSF0NEREREpCudguyJEyd0WphCoXipYoiIiIiIdKVTkN21a1d510FEREREpBe971pARERERFQZMMgSERERkSwxyBIRERGRLDHIEhEREZEs6R1k9+7di9zc3ELtubm52Lt3b5kURURERERUEr2DbPv27fHgwYNC7WlpaWjfvn2ZFEVEREREVBK9g6wQQuv9Yu/fvw9LS8syKYqIiIiIqCQ6f0Vtz549AeR/6cGgQYOgVCql5/Ly8nDy5Em0bNmy7CskIiIiItJC5yCrUqkA5F+Rtba2hoWFhfScmZkZ3nzzTQwdOrTsKyQiIiIi0kLnILtixQoAgJubGyZMmMBhBERERERkUHqPkf300081xsheu3YNsbGx2LFjR5kWRkRERERUHL2DbLdu3fDjjz8CAB49egQ/Pz/MnTsX3bp1w+LFi8u8QCIiIiIibfQOssePH0ebNm0AAHFxcXBycsK1a9fw448/YsGCBWVeIBERERGRNnoH2SdPnsDa2hoAsGPHDvTs2RNGRkZ48803ce3atTIvkIiIiIhIG72DbN26dbF582bcuHED27dvR8eOHQEAd+/ehY2NTZkXSERERESkjd5BNjIyEhMmTICbmxv8/f0REBAAIP/qbLNmzcq8QCIiIiIibRRCCKHvTMnJybhz5w68vLxgZJSfhY8cOQIbGxs0aNCgzIssS+np6VCpVEhLS+MVZCIiIqIKVNY5TOf7yD7PyckJTk5OGm1+fn4vXQwRERERka70DrLt27fXuI/si/7444+XKoiIiIiISBd6B1lvb2+N6ZycHCQlJeHUqVMIDQ0tq7qIiIiIiIqld5D95ptvtLZPnz4dGRkZL10QEREREZEu9L5rQVH69++PH374oawWR0RERERUrDILsocOHYK5uXmp5l20aBHc3Nxgbm4Of39/HDlyRKf51q5dC4VCge7du5dqvUREREQkX3oPLejZs6fGtBACd+7cwbFjxzBt2jS9C1i3bh0iIiKwZMkS+Pv7IzY2FsHBwTh//jwcHByKnO/q1auYMGGC9HW5RERERPR60fuKrEql0nhUq1YN7dq1w9atWxEVFaV3AfPmzcPQoUMRFhaGRo0aYcmSJahSpUqxwxTy8vLw4YcfYsaMGahTp47e6yQiIiIi+dPrimxeXh7CwsLg6emJqlWrvvTKs7OzkZiYiClTpkhtRkZGCAoKwqFDh4qcb+bMmXBwcMDgwYOxb9++l66DiIiIiORHryBrbGyMjh074uzZs2USZFNTU5GXlwdHR0eNdkdHR5w7d07rPPv378e///1vJCUl6bSOrKwsZGVlSdPp6emlrpeIiIiIKg+9hxY0adIEly9fLo9aSvT48WMMGDAAy5Ytg52dnU7zREdHawyFqFWrVjlXSUREREQVQe8Pe33xxReYMGECPv/8c/j4+MDS0lLjeX2+N9fOzg7GxsZISUnRaE9JSSn0FbgAcOnSJVy9ehVdu3aV2tRqNQDAxMQE58+fh4eHh8Y8U6ZMQUREhDSdnp7OMEtERET0CtA5yM6cORPjx49H586dAQDvvfeexlfVCiGgUCiQl5en88rNzMzg4+ODhIQE6RZaarUaCQkJGDVqVKH+DRo0wN9//63RNnXqVDx+/Bjz58/XGlCVSiWUSqXONRERERGRPOgcZGfMmIHhw4dj165dZVpAREQEQkND4evrCz8/P8TGxiIzMxNhYWEAgIEDB8LFxQXR0dEwNzdHkyZNNOa3tbUFgELtRERERPRq0znICiEAAIGBgWVaQEhICO7du4fIyEgkJyfD29sb27Ztkz4Adv36dRgZldn3NhARERHRK0IhChJqCYyMjJCSkgJ7e/vyrqlcpaenQ6VSIS0tTa/xvERERET0cso6h+n1Ya/69etrjIvV5sGDBy9VEBERERGRLvQKsjNmzIBKpSqvWoiIiIiIdKZXkP3ggw/g4OBQXrUQEREREelM509RlTSkgIiIiIioIukcZHX8TBgRERERUYXQeWhBwTdoERERERFVBrxBKxERERHJEoMsEREREckSgywRERERyRKDLBERERHJEoMsEREREckSgywRERERyRKDLBERERHJEoMsEREREckSgywRERERyRKDLBERERHJEoMsEREREckSgywRERERyRKDLBERERHJEoMsEREREckSgywRERERyRKDLBERERHJEoMsEREREckSgywRERERyRKDLBERERHJEoMsEREREckSgywRERERyRKDLBERERHJEoMsEREREckSgywRERERyRKDLBERERHJEoMsEREREckSgywRERERyRKDLBERERHJEoMsEREREckSgywRERERyRKDLBERERHJEoMsEREREckSgywRERERyRKDLBERERHJUqUIsosWLYKbmxvMzc3h7++PI0eOFNl32bJlaNOmDapWrYqqVasiKCio2P5ERERE9GoyeJBdt24dIiIiEBUVhePHj8PLywvBwcG4e/eu1v67d+9G3759sWvXLhw6dAi1atVCx44dcevWrQqunIiIiIgMSSGEEIYswN/fHy1atMC3334LAFCr1ahVqxY++eQTTJ48ucT58/LyULVqVXz77bcYOHBgif3T09OhUqmQlpYGGxubl66fiIiIiHRT1jnMoFdks7OzkZiYiKCgIKnNyMgIQUFBOHTokE7LePLkCXJyclCtWrXyKpOIiIiIKiETQ648NTUVeXl5cHR01Gh3dHTEuXPndFrGpEmT4OzsrBGGn5eVlYWsrCxpOj09vfQFExEREVGlYfAxsi9j9uzZWLt2LTZt2gRzc3OtfaKjo6FSqaRHrVq1KrhKIiIiIioPBg2ydnZ2MDY2RkpKikZ7SkoKnJycip3366+/xuzZs7Fjxw40bdq0yH5TpkxBWlqa9Lhx40aZ1E5EREREhmXQIGtmZgYfHx8kJCRIbWq1GgkJCQgICChyvjlz5uDzzz/Htm3b4OvrW+w6lEolbGxsNB5EREREJH8GHSMLABEREQgNDYWvry/8/PwQGxuLzMxMhIWFAQAGDhwIFxcXREdHAwBiYmIQGRmJNWvWwM3NDcnJyQAAKysrWFlZGWw7iIiIiKhiGTzIhoSE4N69e4iMjERycjK8vb2xbds26QNg169fh5HR/104Xrx4MbKzs9GrVy+N5URFRWH69OkVWToRERERGZDB7yNb0XgfWSIiIiLDeKXuI0tEREREVFoMskREREQkSwyyRERERCRLDLJEREREJEsMskREREQkSwyyRERERCRLDLJEREREJEsMskREREQkSwyyRERERCRLDLJEREREJEsMskREREQkSwyyRERERCRLDLJEREREJEsMskREREQkSwyyRERERCRLDLJEREREJEsMskREREQkSwyyRERERCRLDLJEREREJEsMskREREQkSwyyRERERCRLDLJEREREJEsMskREREQkSwyyRERERCRLDLJEREREJEsMskREREQkSwyyRERERCRLDLJEREREJEsMskREREQkSwyyJcnJAfLy8v8lIiIiokqDQbYku3cDEyfm/0tERERElYaJoQuotHJy8sNrx4750998A8THA4GBgKmpQUsjIiIiIl6RLZqREfD775ptW7fmt5eEwxGIiIiIyh2DbFHUaqBTJ822zp3z20ui73AEBl8iIiIivSmEEMLQRVSk9PR0qFQqpKWlwcbGpuQZdu7MvxLbuTMQFFR83xeHIwC6DUeIj8+/+tupE/D22yXXlJOTf2VYreYwByIiIpINvXNYCThGtiSBgUD79rpdiS1qOEL79tr7l3Yc7u7dDL5ERET02uPQgpKYmgLGxroFQH2HI+g7DjcnJz/oduyYH3o7dsy/YlzSkAQOdSAiIqJXEINsWTI1zb9CGh8PjBuX/29QUNEh+FUJvgXr0if8lnd/IiIieuUxyJaHwEDgq6/y/y3OqxJ8Af3Db3n3r4igzHBNRERkUAyy5UGf4QiAfIMvoH/4Le/+Bco7KJdmnsp21boiwjuvvBMRUTmqFEF20aJFcHNzg7m5Ofz9/XHkyJFi+2/YsAENGjSAubk5PD09sXXr1gqqtJzINfgC+off8u5fEUG5sobryhjeX8cr73LvXxlr4jaXff+KWgdReRMGtnbtWmFmZiZ++OEHcfr0aTF06FBha2srUlJStPY/cOCAMDY2FnPmzBFnzpwRU6dOFaampuLvv//WaX1paWkCgEhLSyvLzajcsrOFyM3N/1cX8fFCjBuX/68uy96xQwjg/x7x8UWvq7z75+bm1/58/3Hj8tvLon9p5qls+0jf/pW1JiHy5xk3Lv9fXejbvyLWUdn6V8aauM1l378i1qHv757y7l8Za3oNtzktNbVMc5jBg6yfn58IDw+XpvPy8oSzs7OIjo7W2r9Pnz6iS5cuGm3+/v5i2LBhOq3vtQyy+irNC0Wf8Fue/StjqCvvcF0Zw3t596+Mx1nu/StjTdxmeW5zgdcxvFe2/pWwprRNm16dIJuVlSWMjY3Fpk2bNNoHDhwo3nvvPa3z1KpVS3zzzTcabZGRkaJp06Y6rZNBtpxUsr/4yj1Y6zNPZftFVhl/8VW2Pw4qYh2VrX9lrInbLM9trmw/LypjTa/xNqcBZZrDDPqFCKmpqcjLy4Ojo6NGu6OjI86dO6d1nuTkZK39k5OTtfbPyspCVlaWNJ2WlgYg/5slqJw8fWr4/s2aAT4++eN7dTnW+vbXdx5/f2DzZmDHjvwxtX5++dtR1LZUtv6VraacHKBt2/wxygUCA4FHj7SPAde3f0Wso7L1r4w1cZvLvn9FrCMvL/+1/LxNm/J/XhobV3z/yljTa7zNBb8thRDa69ZXmcThUrp165YAIA4ePKjRPnHiROHn56d1HlNTU7FmzRqNtkWLFgkHBwet/aOiogT+f/rngw8++OCDDz744MPwj0uXLpVJljToFVk7OzsYGxsjJSVFoz0lJQVOTk5a53FyctKr/5QpUxARESFNP3r0CK6urrh+/TpUKtVLbgFVVunp6ahVqxZu3LhRJt/lTJUTj/Prgcf59cDj/HpIS0tD7dq1Ua1atTJZnkGDrJmZGXx8fJCQkIDu3bsDANRqNRISEjBq1Cit8wQEBCAhIQFjx46V2uLj4xEQEKC1v1KphFKpLNSuUqn4QnkN2NjY8Di/BnicXw88zq8HHufXg1Fx96jXg0GDLABEREQgNDQUvr6+8PPzQ2xsLDIzMxEWFgYAGDhwIFxcXBAdHQ0AGDNmDAIDAzF37lx06dIFa9euxbFjx7B06VJDbgYRERERVTCDB9mQkBDcu3cPkZGRSE5Ohre3N7Zt2yZ9oOv69esaqb1ly5ZYs2YNpk6dis8++wz16tXD5s2b0aRJE0NtAhEREREZgMGDLACMGjWqyKEEu7V8w0/v3r3Ru3fvUq1LqVQiKipK63ADenXwOL8eeJxfDzzOrwce59dDWR9nhRBldf8DIiIiIqKKUzYjbYmIiIiIKhiDLBERERHJEoMsEREREcnSaxdkFy1aBDc3N5ibm8Pf3x9HjhwxdEn0Evbu3YuuXbvC2dkZCoUCm1/4ujwhBCIjI1GjRg1YWFggKCgIFy5cMEyxVGrR0dFo0aIFrK2t4eDggO7du+P8+fMafZ49e4bw8HBUr14dVlZWeP/99wt9eQpVbosXL0bTpk2l+4gGBATg999/l57nMX71zJ49GwqFQuPe8DzOr4bp06dDoVBoPBo0aCA9X1bH+bUKsuvWrUNERASioqJw/PhxeHl5ITg4GHfv3jV0aVRKmZmZ8PLywqJFi7Q+P2fOHCxYsABLlizB4cOHYWlpieDgYDx79qyCK6WXsWfPHoSHh+PPP/9EfHw8cnJy0LFjR2RmZkp9xo0bh99++w0bNmzAnj17cPv2bfTs2dOAVZO+atasidmzZyMxMRHHjh1Dhw4d0K1bN5w+fRoAj/Gr5ujRo/j+++/RtGlTjXYe51dH48aNcefOHemxf/9+6bkyO85l8kW3MuHn5yfCw8Ol6by8POHs7Cyio6MNWBWVFQBi06ZN0rRarRZOTk7iq6++ktoePXoklEql+OWXXwxQIZWVu3fvCgBiz549Qoj842pqaio2bNgg9Tl79qwAIA4dOmSoMqkMVK1aVSxfvpzH+BXz+PFjUa9ePREfHy8CAwPFmDFjhBB8Lb9KoqKihJeXl9bnyvI4vzZXZLOzs5GYmIigoCCpzcjICEFBQTh06JABK6PycuXKFSQnJ2scc5VKBX9/fx5zmUtLSwMA6bu6ExMTkZOTo3GsGzRogNq1a/NYy1ReXh7Wrl2LzMxMBAQE8Bi/YsLDw9GlSxeN4wnwtfyquXDhApydnVGnTh18+OGHuH79OoCyPc6V4gsRKkJqairy8vKkbwwr4OjoiHPnzhmoKipPycnJAKD1mBc8R/KjVqsxduxYtGrVSvpGv+TkZJiZmcHW1lajL4+1/Pz9998ICAjAs2fPYGVlhU2bNqFRo0ZISkriMX5FrF27FsePH8fRo0cLPcfX8qvD398fK1euxBtvvIE7d+5gxowZaNOmDU6dOlWmx/m1CbJE9GoIDw/HqVOnNMZa0avjjTfeQFJSEtLS0hAXF4fQ0FDs2bPH0GVRGblx4wbGjBmD+Ph4mJubG7ocKkedOnWS/t+0aVP4+/vD1dUV69evh4WFRZmt57UZWmBnZwdjY+NCn4hLSUmBk5OTgaqi8lRwXHnMXx2jRo3C//73P+zatQs1a9aU2p2cnJCdnY1Hjx5p9Oexlh8zMzPUrVsXPj4+iI6OhpeXF+bPn89j/IpITEzE3bt30bx5c5iYmMDExAR79uzBggULYGJiAkdHRx7nV5StrS3q16+Pixcvlunr+bUJsmZmZvDx8UFCQoLUplarkZCQgICAAANWRuXF3d0dTk5OGsc8PT0dhw8f5jGXGSEERo0ahU2bNuGPP/6Au7u7xvM+Pj4wNTXVONbnz5/H9evXeaxlTq1WIysri8f4FfHWW2/h77//RlJSkvTw9fXFhx9+KP2fx/nVlJGRgUuXLqFGjRpl+np+rYYWREREIDQ0FL6+vvDz80NsbCwyMzMRFhZm6NKolDIyMnDx4kVp+sqVK0hKSkK1atVQu3ZtjB07Fl988QXq1asHd3d3TJs2Dc7Ozujevbvhiia9hYeHY82aNfj1119hbW0tjaFSqVSwsLCASqXC4MGDERERgWrVqsHGxgaffPIJAgIC8Oabbxq4etLVlClT0KlTJ9SuXRuPHz/GmjVrsHv3bmzfvp3H+BVhbW0tjW0vYGlpierVq0vtPM6vhgkTJqBr165wdXXF7du3ERUVBWNjY/Tt27dsX88vcWcFWVq4cKGoXbu2MDMzE35+fuLPP/80dEn0Enbt2iUAFHqEhoYKIfJvwTVt2jTh6OgolEqleOutt8T58+cNWzTpTdsxBiBWrFgh9Xn69KkYOXKkqFq1qqhSpYro0aOHuHPnjuGKJr199NFHwtXVVZiZmQl7e3vx1ltviR07dkjP8xi/mp6//ZYQPM6vipCQEFGjRg1hZmYmXFxcREhIiLh48aL0fFkdZ4UQQpRhACciIiIiqhCvzRhZIiIiInq1MMgSERERkSwxyBIRERGRLDHIEhEREZEsMcgSERERkSwxyBIRERGRLDHIEhEREZEsMcgSERERkSwxyBLRa+nq1atQKBRISkoydCmSc+fO4c0334S5uTm8vb219mnXrh3Gjh1boXVVhEGDBvGro4lIbwyyRGQQgwYNgkKhwOzZszXaN2/eDIVCYaCqDCsqKgqWlpY4f/48EhIStPbZuHEjPv/8c52XWdkCe1H1zJ8/HytXrjRITUQkXwyyRGQw5ubmiImJwcOHDw1dSpnJzs4u9byXLl1C69at4erqiurVq2vtU61aNVhbW5d6HS8jJyen3JatUqlga2tbbssnolcTgywRGUxQUBCcnJwQHR1dZJ/p06cXeps9NjYWbm5u0nTB29KzZs2Co6MjbG1tMXPmTOTm5mLixImoVq0aatasiRUrVhRa/rlz59CyZUuYm5ujSZMm2LNnj8bzp06dQqdOnWBlZQVHR0cMGDAAqamp0vPt2rXDqFGjMHbsWNjZ2SE4OFjrdqjVasycORM1a9aEUqmEt7c3tm3bJj2vUCiQmJiImTNnQqFQYPr06VqX8+LQAjc3N8yaNQsfffQRrK2tUbt2bSxdulR63t3dHQDQrFkzKBQKtGvXTnpu+fLlaNiwIczNzdGgQQN899130nMFV07XrVuHwMBAmJub4+eff8b9+/fRt29fuLi4oEqVKvD09MQvv/xSaFvnzJmDunXrQqlUonbt2vjyyy+LrefFoQVZWVkYPXo0HBwcYG5ujtatW+Po0aPS87t374ZCoUBCQgJ8fX1RpUoVtGzZEufPn5f6/PXXX2jfvj2sra1hY2MDHx8fHDt2TOt+JSJ5YpAlIoMxNjbGrFmzsHDhQty8efOllvXHH3/g9u3b2Lt3L+bNm4eoqCi8++67qFq1Kg4fPozhw4dj2LBhhdYzceJEjB8/HidOnEBAQAC6du2K+/fvAwAePXqEDh06oFmzZjh27Bi2bduGlJQU9OnTR2MZq1atgpmZGQ4cOIAlS5ZorW/+/PmYO3cuvv76a5w8eRLBwcF47733cOHCBQDAnTt30LhxY4wfPx537tzBhAkTdN72uXPnwtfXFydOnMDIkSMxYsQIKdAdOXIEALBz507cuXMHGzduBAD8/PPPiIyMxJdffomzZ89i1qxZmDZtGlatWqWx7MmTJ2PMmDE4e/YsgoOD8ezZM/j4+GDLli04deoUPv74YwwYMEBaDwBMmTIFs2fPxrRp03DmzBmsWbMGjo6Oxdbzok8//RT/+c9/sGrVKhw/fhx169ZFcHAwHjx4oNHvX//6F+bOnYtjx47BxMQEH330kfTchx9+iJo1a+Lo0aNITEzE5MmTYWpqqvN+JSIZEEREBhAaGiq6desmhBDizTffFB999JEQQohNmzaJ5380RUVFCS8vL415v/nmG+Hq6qqxLFdXV5GXlye1vfHGG6JNmzbSdG5urrC0tBS//PKLEEKIK1euCABi9uzZUp+cnBxRs2ZNERMTI4QQ4vPPPxcdO3bUWPeNGzcEAHH+/HkhhBCBgYGiWbNmJW6vs7Oz+PLLLzXaWrRoIUaOHClNe3l5iaioqGKXExgYKMaMGSNNu7q6iv79+0vTarVaODg4iMWLF2ts54kTJzSW4+HhIdasWaPR9vnnn4uAgACN+WJjY0vcti5duojx48cLIYRIT08XSqVSLFu2TGvfoup5/nzIyMgQpqam4ueff5aez87OFs7OzmLOnDlCCCF27dolAIidO3dKfbZs2SIAiKdPnwohhLC2thYrV64ssX4iki8Tw0VoIqJ8MTEx6NChg15XIV/UuHFjGBn935tMjo6OaNKkiTRtbGyM6tWr4+7duxrzBQQESP83MTGBr68vzp49CyD/reldu3bBysqq0PouXbqE+vXrAwB8fHyKrS09PR23b99Gq1atNNpbtWqFv/76S8ctLFrTpk2l/ysUCjg5ORXazudlZmbi0qVLGDx4MIYOHSq15+bmQqVSafT19fXVmM7Ly8OsWbOwfv163Lp1C9nZ2cjKykKVKlUAAGfPnkVWVhbeeuutUm/PpUuXkJOTo7G/TE1N4efnJx2bAs9ve40aNQAAd+/eRe3atREREYEhQ4Zg9erVCAoKQu/eveHh4VHquoio8mGQJSKDa9u2LYKDgzFlyhQMGjRI4zkjIyMIITTatH3o6MW3jBUKhdY2tVqtc10ZGRno2rUrYmJiCj1XEJoAwNLSUudllgd9tzMjIwMAsGzZMvj7+2s8Z2xsrDH94rZ99dVXmD9/PmJjY+Hp6QlLS0uMHTtW+pCbhYVFqbejNJ7f9oK7XRRs+/Tp09GvXz9s2bIFv//+O6KiorB27Vr06NGjQmskovLDMbJEVCnMnj0bv/32Gw4dOqTRbm9vj+TkZI0wW5a3kvrzzz+l/+fm5iIxMRENGzYEADRv3hynT5+Gm5sb6tatq/HQJ7za2NjA2dkZBw4c0Gg/cOAAGjVqVDYbUgQzMzMA+VdSCzg6OsLZ2RmXL18utF0FH8YqyoEDB9CtWzf0798fXl5eqFOnDv755x/p+Xr16sHCwqLI24dpq+dFHh4e0pjjAjk5OTh69Kje+6t+/foYN24cduzYgZ49e2r9wB8RyRevyBJRpeDp6YkPP/wQCxYs0Ghv164d7t27hzlz5qBXr17Ytm0bfv/9d9jY2JTJehctWoR69eqhYcOG+Oabb/Dw4UPpA0Ph4eFYtmwZ+vbti08//RTVqlXDxYsXsXbtWixfvrzQ1cviTJw4EVFRUfDw8IC3tzdWrFiBpKQk/Pzzz2WyHUVxcHCAhYUFtm3bhpo1a8Lc3BwqlQozZszA6NGjoVKp8M477yArKwvHjh3Dw4cPERERUeTy6tWrh7i4OBw8eBBVq1bFvHnzkJKSIgVMc3NzTJo0CZ9++inMzMzQqlUr3Lt3D6dPn8bgwYOLrOd5lpaWGDFihHTHidq1a2POnDl48uQJBg8erNN2P336FBMnTkSvXr3g7u6Omzdv4ujRo3j//fdLvzOJqNLhFVkiqjRmzpxZ6C3xhg0b4rvvvsOiRYvg5eWFI0eOvNRY2hfNnj0bs2fPhpeXF/bv34///ve/sLOzAwDpKmpeXh46duwIT09PjB07Fra2thrjcXUxevRoREREYPz48fD09MS2bdvw3//+F/Xq1SuzbdHGxMQECxYswPfffw9nZ2d069YNADBkyBAsX74cK1asgKenJwIDA7Fy5coSr8hOnToVzZs3R3BwMNq1awcnJ6dC38g1bdo0jB8/HpGRkWjYsCFCQkKkMbtF1fOi2bNn4/3338eAAQPQvHlzXLx4Edu3b0fVqlV12m5jY2Pcv38fAwcORP369dGnTx906tQJM2bM0Gl+IpIHhXhx8BkRERERkQzwiiwRERERyRKDLBERERHJEoMsEREREckSgywRERERyRKDLBERERHJEoMsEREREckSgywRERERyRKDLBERERHJEoMsEREREckSgywRERERyRKDLBERERHJEoMsEREREcnS/wNRp21rln+AUwAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(50):\n",
    "    new_data = sub_logic.SubLog(False, {'r' : 0, 's': 1, 'a' : 0.1})\n",
    "    mygraph.add_direct_nodes('car3.2', new_data)\n",
    "    plt.rcParams[\"figure.figsize\"] = [7.00, 3.50]\n",
    "    plt.rcParams[\"figure.autolayout\"] = True\n",
    "    x = [i+1]\n",
    "    y = [mygraph.get_my_opinion('car3.2').trust()]\n",
    "    plt.xlim(0, 50)\n",
    "    plt.ylim(0, 1)\n",
    "    plt.grid()\n",
    "    plt.plot(x, y, marker=\"o\", markersize=4, markeredgecolor=\"white\", markerfacecolor=\"red\")\n",
    "plt.title(\"Trust levels with bad interactions and base rate 0.1\")\n",
    "plt.xlabel(\"Number of interactions\")\n",
    "plt.ylabel(\"Trust level\")\n",
    "plt.savefig('b01.png')\n",
    "print('# good interactions '+str(round(mygraph.get_my_opinion('car3.2').r)))\n",
    "print('# bad interactions '+str(round(mygraph.get_my_opinion('car3.2').s)))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# good interactions 26\n",
      "# bad interactions 26\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 700x350 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(50):\n",
    "    if i%2 == 0:\n",
    "        new_data = sub_logic.SubLog(False, {'r' : 1, 's': 0, 'a' : 0.9})\n",
    "    else:\n",
    "        new_data = sub_logic.SubLog(False, {'r' : 0, 's': 1, 'a' : 0.9})\n",
    "    mygraph.add_direct_nodes('car4.8', new_data)\n",
    "    plt.rcParams[\"figure.figsize\"] = [7.00, 3.50]\n",
    "    plt.rcParams[\"figure.autolayout\"] = True\n",
    "    x = [i+1]\n",
    "    y = [mygraph.get_my_opinion('car4.8').trust()]\n",
    "    plt.xlim(0, 50)\n",
    "    plt.ylim(0, 1)\n",
    "    plt.grid()\n",
    "    plt.plot(x, y, marker=\"o\", markersize=4, markeredgecolor=\"white\", markerfacecolor=\"red\")\n",
    "plt.title(\"Trust levels with good and bad interactions and base rate 0.9\")\n",
    "plt.xlabel(\"Number of interactions\")\n",
    "plt.ylabel(\"Trust level\")\n",
    "plt.savefig('gb09.png')\n",
    "print('# good interactions '+str(round(mygraph.get_my_opinion('car4.8').r)))\n",
    "print('# bad interactions '+str(round(mygraph.get_my_opinion('car4.8').s)))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# good interactions 26\n",
      "# bad interactions 26\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 700x350 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(50):\n",
    "    if i%2 == 0:\n",
    "        new_data = sub_logic.SubLog(False, {'r' : 1, 's': 0, 'a' : 0.1})\n",
    "    else:\n",
    "        new_data = sub_logic.SubLog(False, {'r' : 0, 's': 1, 'a' : 0.1})\n",
    "    mygraph.add_direct_nodes('car4.2', new_data)\n",
    "    plt.rcParams[\"figure.figsize\"] = [7.00, 3.50]\n",
    "    plt.rcParams[\"figure.autolayout\"] = True\n",
    "    x = [i+1]\n",
    "    y = [mygraph.get_my_opinion('car4.2').trust()]\n",
    "    plt.xlim(0, 50)\n",
    "    plt.ylim(0, 1)\n",
    "    plt.grid()\n",
    "    plt.plot(x, y, marker=\"o\", markersize=4, markeredgecolor=\"white\", markerfacecolor=\"red\")\n",
    "plt.title(\"Trust levels with good and bad interactions and base rate 0.1\")\n",
    "plt.xlabel(\"Number of interactions\")\n",
    "plt.ylabel(\"Trust level\")\n",
    "plt.savefig('gb01.png')\n",
    "print('# good interactions '+str(round(mygraph.get_my_opinion('car4.2').r)))\n",
    "print('# bad interactions '+str(round(mygraph.get_my_opinion('car4.2').s)))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.966038\n",
      "0.981132\n",
      "0.996226\n"
     ]
    }
   ],
   "source": [
    "print(mygraph.get_my_opinion('car2.2').trust())\n",
    "print(mygraph.get_my_opinion('car2.5').trust())\n",
    "print(mygraph.get_my_opinion('car2.8').trust())"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.003774\n",
      "0.018868\n",
      "0.033962\n"
     ]
    }
   ],
   "source": [
    "print(mygraph.get_my_opinion('car3.2').trust())\n",
    "print(mygraph.get_my_opinion('car3.5').trust())\n",
    "print(mygraph.get_my_opinion('car3.8').trust())"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.485185\n",
      "0.5\n",
      "0.514815\n"
     ]
    }
   ],
   "source": [
    "print(mygraph.get_my_opinion('car4.2').trust())\n",
    "print(mygraph.get_my_opinion('car4.5').trust())\n",
    "print(mygraph.get_my_opinion('car4.8').trust())"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}