battery-anomaly-detection/notebooks/eda.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Initial Data Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import polars as pl\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from io import StringIO\n",
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pl.read_csv('output.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['',\n",
       " 'time',\n",
       " 'AVG_PACK_SOC',\n",
       " 'AvgSOC',\n",
       " 'AvgSOH',\n",
       " 'BATT_PACK_1_DISCONN',\n",
       " 'BATT_PACK_1_FAULT',\n",
       " 'BATT_PACK_1_WARN',\n",
       " 'BATT_PACK_2_DISCONN',\n",
       " 'BATT_PACK_2_FAULT',\n",
       " 'BATT_PACK_2_WARN',\n",
       " 'BATT_PACK_3_DISCONN',\n",
       " 'BATT_PACK_3_FAULT',\n",
       " 'BATT_PACK_3_WARN',\n",
       " 'BATT_PACK_4_DISCONN',\n",
       " 'BATT_PACK_4_FAULT',\n",
       " 'BATT_PACK_4_WARN',\n",
       " 'BATT_PACK_5_DISCONN',\n",
       " 'BATT_PACK_5_FAULT',\n",
       " 'BATT_PACK_5_WARN',\n",
       " 'BATT_PACK_6_DISCONN',\n",
       " 'BATT_PACK_6_FAULT',\n",
       " 'BATT_PACK_6_WARN',\n",
       " 'BATT_PACK_7_DISCONN',\n",
       " 'BATT_PACK_7_FAULT',\n",
       " 'BATT_PACK_7_WARN',\n",
       " 'BATT_ROOM_TEMP',\n",
       " 'Current',\n",
       " 'MAX_CELL_TEMP',\n",
       " 'MAX_CELL_VOL',\n",
       " 'MAX_PACK_SOC',\n",
       " 'MAX_UNCONN_PACK_VOL',\n",
       " 'MIN_CELL_TEMP',\n",
       " 'MIN_CELL_VOL',\n",
       " 'MIN_PACK_SOC',\n",
       " 'MIN_UNCONN_PACK_VOL',\n",
       " 'NUMBER_OF_PACKS_CONN',\n",
       " 'NUMBER_OF_PACKS_FAULTED',\n",
       " 'PACK1_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK1_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK1_CRIDATA_BATT_VOL',\n",
       " 'PACK1_CRIDATA_BUS_VOL',\n",
       " 'PACK1_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK1_CRIDATA_CURR',\n",
       " 'PACK1_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK1_CRIDATA_SOC',\n",
       " 'PACK1_CRIDATA_SOH',\n",
       " 'PACK2_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK2_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK2_CRIDATA_BATT_VOL',\n",
       " 'PACK2_CRIDATA_BUS_VOL',\n",
       " 'PACK2_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK2_CRIDATA_CURR',\n",
       " 'PACK2_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK2_CRIDATA_SOC',\n",
       " 'PACK2_CRIDATA_SOH',\n",
       " 'PACK3_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK3_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK3_CRIDATA_BATT_VOL',\n",
       " 'PACK3_CRIDATA_BUS_VOL',\n",
       " 'PACK3_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK3_CRIDATA_CURR',\n",
       " 'PACK3_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK3_CRIDATA_SOC',\n",
       " 'PACK3_CRIDATA_SOH',\n",
       " 'PACK4_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK4_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK4_CRIDATA_BATT_VOL',\n",
       " 'PACK4_CRIDATA_BUS_VOL',\n",
       " 'PACK4_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK4_CRIDATA_CURR',\n",
       " 'PACK4_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK4_CRIDATA_SOC',\n",
       " 'PACK4_CRIDATA_SOH',\n",
       " 'PACK5_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK5_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK5_CRIDATA_BATT_VOL',\n",
       " 'PACK5_CRIDATA_BUS_VOL',\n",
       " 'PACK5_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK5_CRIDATA_CURR',\n",
       " 'PACK5_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK5_CRIDATA_SOC',\n",
       " 'PACK5_CRIDATA_SOH',\n",
       " 'PACK6_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK6_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK6_CRIDATA_BATT_VOL',\n",
       " 'PACK6_CRIDATA_BUS_VOL',\n",
       " 'PACK6_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK6_CRIDATA_CURR',\n",
       " 'PACK6_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK6_CRIDATA_SOC',\n",
       " 'PACK6_CRIDATA_SOH',\n",
       " 'PACK7_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK7_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK7_CRIDATA_BATT_VOL',\n",
       " 'PACK7_CRIDATA_BUS_VOL',\n",
       " 'PACK7_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK7_CRIDATA_CURR',\n",
       " 'PACK7_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK7_CRIDATA_SOC',\n",
       " 'PACK7_CRIDATA_SOH',\n",
       " 'PACK_1_STATUS',\n",
       " 'PACK_2_STATUS',\n",
       " 'PACK_3_STATUS',\n",
       " 'PACK_4_STATUS',\n",
       " 'PACK_5_STATUS',\n",
       " 'PACK_6_STATUS',\n",
       " 'PACK_7_STATUS',\n",
       " 'RunningState',\n",
       " 'Voltage',\n",
       " 'valuestreamname']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = df['PACK1_CRIDATA_BATT_VOL']\n",
    "s1 = s.cast(pl.Float32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fb2b99838b0>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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B+HAzrsXpV+A1mNn1ttmVp4vdGBuvY29aSvVU+k7ZzfbsZBbodCOgGKQjDJLdd/i4/YOGJhRDm+WZ28F5wfzkv6TsDuxO1sz9keRjXOz4vep7OUR6vYqn6XT80y525XacnBLq4uIKmS4+DQK1c7Qx/mlRu/J08WueGjtxB6QnKE+VtswCnW4EFINkyuh3zwzNWX7cA8kkdgdUu/LzAskPbnY/+pxc8dCWABjy+SoqL8vU6xgUu8G1rgfdOqhe7GIf4fd32lKmnOJJtalDytvl3lvJZMqYoHgydR/cIdn9UMqgMbIadXEP28dMHUpjNwjRpwkl253be8A4+cVo15PhZB9X0Ia5ZL7dp6vn58bjZafs9VSHXc+Ukx6rszlpc5c85yHK6S9nr6e2ykq6uCpPl542Qc2u3IvXp43QghsH6JaryrTgxgFanoKbASZzvs1YE7tykzCTrEEO2ew47MpNlOgW6IZOgyK7e3e18z29fOO2S9fJ5Z92wweaHIySbUuX+cIpV2jF5v1JZ6ttluyzZGe5D/zex6C4K7fjZD08dNR5G51uh15PbdldRWZX3tGl+95bh4/FH1NjV26SDP2N2DFl8vXqmSzLZiuwKzed3WRlduVOLhW27d1zcPBs6zn9bb+YoBsHXaC/6V6gGwddoIIEp6Ts5mtp1sWmNydRZvA6hsbtcrDlINA0JJgNuSWnPYNeJ6irrY8fluzK08WUQaypFjkWf92wKzcJPSgGsRut72QUP7yzO8gadm8zx9xe3trYhg/qZM084UPAPvvGi//7wRW29bKSNCg3J0dS6/bk5WSp0SaFeQ1Yfg2SzclK3uvhtIdJct4z6PVzH7aZdt+uPF1G9y/VO1/Uxi3vSOy277Zs9+0lQ38jdkynbFYYu3IgHrdTeKc6AJ9sx8tLkw0Wtbu/TKJ5RLzej8nuJd1+3XkOrtBxtY9w2EHgNaD49blTzZRBrLBHD4pB7H4EGXqPPRjqm14C5+Wp5vtxKcEB1uvcDonOZniesCwnW/F7a9z9LnSy1NzcP6ZfqEif7q5LWq+7x+/y/PxcHYpz+uD8/Pa75YFTr08boWXrqvXZnsO6vOz8DhlOup0X0JHGY3HLTUcPCs555+fHz+l25aazO/7ZlbflJo5Ofoyf8LkHJdG8IMeS3OfE7qaHiTKD16t47C7ndXuZr5NbEfQqdn6FzIMT+zuq5/WqmzGXxD9FYleeblOHlGvu5Ms6ZDiR7LfRTBhpQ0DBOc+UCZX84naq+7Zc/h3olHwX0uTz1RuJ2vufSWYBzbNpb6JLeb3OG2I3INeu3M5JB5cdfbnf+fTsA8uLddfIPknr2Z0OS2bngSOuypFajTZjwOzKTUJAMUhHmzAsUyyccoXyW3SR5+dmxwzM7MjaMmGTkwseOrk8pZFMXoLTGUlvFmjzcE6CS7Z+v6XGUbtaOmozhsOu3I6T/Oi2j2rWhP5afvdwjbvEft4ir2OTvj4c/6onu3KkVtDm1JpduUk49hnEbjCe10F6cK7lpazbfjEh3U3ybJ/NgcCuPN/BIEy7HYWTeVB6d/V3gq5AgsBTlOS03AU2d3ROdOnt7kNHHbWrJb/mn3CyfLwYWF6sH4/6G99f165XzUlvG/xXZBNE7MpNkpkn2Tuoos6d4v66as/b1fshx2YyLNNvKdRRekzsTmPYlXcvDOjIodaD6M5m1/PgpAdl3KWh5JVc6JKXo4jNXCKFnRPvdO1+NSbqLHA7qNVvZSX52v6X1JweGVherJ5FAe2PM0eJ14naup2Xp11x1qdu55k/c2lHlMnTVxBpDRKw+aVkV24qv2bQhDcXdS9wVd6WA0eOg1m/2jIIN55E20OyycXsJl1LNDnXBcXxe12S8atrPdX34upl8/m8TtTm16mtc5VdR5PXDqhU3xQxlQgoBsnk0dYwh91VJ3blB44kP+Vgd6w67SB8LP1TddI6biTaHtzcNO9sPRJcqZPjMVn7dbPAQRfa3z7CD3vr4t+B3K48mUKbHl+7csQabLO87cqTyeTASEAxiF+j/tPNblQC07mYyclEark25+ecHLz/sx2n1E525ZXdjeAu6l6ggS0m7Wo2MsENMBPx60B93/h+6l6YOHj1LPI+p4VdD5fXnq/Jg3q5Kkcsv78/u5t1tuUmnu2FgGKQozZzONiVG8vt7XThK7ub29mVJxtYKtnPH+JkJ+f3Yre7IWCnbCWdyyJR79LyaSNazX3TozBP943v56mdfh5o1j04VtOuuch2bp5Lw0WuX7PZd77V3VV5MszQ2jZ+f3+VF8QP3nblJqHPzSAHbbra7cpNlSlTXXdUbm+C5uY+Li316X6eDh5NPiupn+zOnRfkJd+dJZujY9PD4/XE219qw+46Dbqw2HM4kb450LzySbU27YlEy9pyoLlvfD9t31+vd7884LlN8cS7Y3RbL7M/F2ZoTSU/v7+brirXsk/3xi03HQHFJB1kEAodKOnl9iZoRxz00B07Gb/OjYN76ZOv2jegtGUNO27T+3J2eVtCSUt+H6jtrqzxesVNs22/mKCZv9sUbacfV7RNHVJOMGkDv76/5on5nlm1M1r245F9NLA8tWOb/ODqFM+pU6f0z//8z6qoqFB+fr769OmjRx99VGfOuj2mZVmaM2eOwuGw8vPzNWrUKG3dujXmdRobGzVjxgx169ZNBQUFuu6667R3b+uEd66xu/eF13tipIvdPFoubheCNnDbRZzrYBxJoFP8Uznx3qvVc32+vryXzRTsduVnsxtP4nWciRN+TqVud2WN1ytuzrZwyhV6d+aoDnO5Pf6qeWK+RVMu1/K7h+uBCc5ud5Burg4ZCxYs0DPPPKPFixdr27Ztevzxx/XEE0/oX//1X6N1Hn/8cS1atEiLFy/WunXrFAqFNHbsWDU0/HUq5qqqKi1fvlxLly7V6tWrdeTIEU2aNEmnXd6GvKO5qneJq3JTdZSglclenzZCC24coFuuKtOCGwdo+bQRtnWdXMZ6ZYJ1sPm9LulZGPfx//qd5NOqu/FfhvV2VX62eANO2zLOpL35dWUQzj0Dy4s1eVCvjOg5aeYqoKxdu1bXX3+9Jk6cqN69e+sHP/iBxo0bp08//VTSNyn+qaee0oMPPqjJkyersrJSL774oo4dO6aXX35ZkhSJRPTrX/9aCxcu1JgxYzRw4EC99NJL2rx5s959913/P2EGsTsnmAnnCs9mN1unXTlSw+kvdydXiU27JvGMo1OHlGvFT7/TLgf/tg4ibB5wOqxPiaZdc5E+eXCsr+1LpYpu8eeysSsHMpmrgDJixAj94Q9/0J///GdJ0meffabVq1fr7/7u7yRJu3btUk1NjcaNGxd9TiAQ0MiRI7VmzRpJ0vr163Xy5MmYOuFwWJWVldE6LTU2Nqq+vj7mryOKdxOvTDlXeDZ+5WWWZHOHuFkH2+vg76aHKJ77xvfTK/80LGN6Tpp1lB8xgBOuBsk+8MADikQi6tevn3JycnT69Gk99thjuvnmmyVJNTXf3FSrtDR2MF5paal2794drZOXl6fi4uJWdZqf39K8efP0yCOPuGlqxpo1ob/GXxrSroNHVdGtIOPCiZTa8+Twn92g2qlX9tJNV5W7Xgfb66B/Lg7CzOQBj4BbrgLKsmXL9NJLL+nll1/WpZdeqk2bNqmqqkrhcFi33357tF7LX8qWZSX99ZyozuzZs3XPPfdE/19fX6+ysjI3Tc8oA8uLM3qHY/eL3Ossn0gtu8thF/zg8jS2CnY6wo8YwAlXAeW+++7TrFmzdNNNN0mSBgwYoN27d2vevHm6/fbbFQp9c1Owmpoa9ezZM/q82traaK9KKBRSU1OT6urqYnpRamtrNXz48LjvGwgEFAgwwDJTuL3MFenHvBWZJdN/xABOuBqDcuzYMWW3uDlYTk5O9DLjiooKhUIhrVy5Mvp4U1OTVq1aFQ0fgwcPVm5ubkyd/fv3a8uWLbYBBZmFmSQzk5+XwwJAW7nqQbn22mv12GOPqby8XJdeeqk2btyoRYsW6R//8R8lfXNqp6qqSnPnzlXfvn3Vt29fzZ07V126dNEtt9wiSQoGg7rjjjs0c+ZMde3aVSUlJbr33ns1YMAAjRkzxv9PiLTgFzkAoC2yLBcjFxsaGvTQQw9p+fLlqq2tVTgc1s0336yf//znysv7ZnyBZVl65JFH9Ktf/Up1dXUaOnSofvnLX6qysjL6OidOnNB9992nl19+WcePH9fo0aO1ZMkSx+NK6uvrFQwGFYlEVFTk/R4UAACg/bg5frsKKKYgoAAAkHncHL+ZfBwAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcVwHlK+//lr/8A//oK5du6pLly664oortH79+ujjlmVpzpw5CofDys/P16hRo7R169aY12hsbNSMGTPUrVs3FRQU6LrrrtPevXvb/mkAAECH4Cqg1NXV6eqrr1Zubq7eeustffHFF1q4cKHOP//8aJ3HH39cixYt0uLFi7Vu3TqFQiGNHTtWDQ0N0TpVVVVavny5li5dqtWrV+vIkSOaNGmSTp8+7dsHAwAAmSvLsizLaeVZs2bpj3/8oz766KO4j1uWpXA4rKqqKj3wwAOSvuktKS0t1YIFC3TnnXcqEomoe/fu+u1vf6upU6dKkvbt26eysjKtWLFC48ePT9qO+vp6BYNBRSIRFRUVOW0+AABIIzfHb1c9KG+88YauvPJK/f3f/7169OihgQMH6rnnnos+vmvXLtXU1GjcuHHRskAgoJEjR2rNmjWSpPXr1+vkyZMxdcLhsCorK6N1WmpsbFR9fX3MHwAA6LhcBZSdO3fq6aefVt++ffX222/rrrvu0k9+8hP95je/kSTV1NRIkkpLS2OeV1paGn2spqZGeXl5Ki4utq3T0rx58xQMBqN/ZWVlbpoNAAAyjKuAcubMGQ0aNEhz587VwIEDdeedd+pHP/qRnn766Zh6WVlZMf+3LKtVWUuJ6syePVuRSCT6t2fPHjfNBgAAGcZVQOnZs6cuueSSmLL+/fururpakhQKhSSpVU9IbW1ttFclFAqpqalJdXV1tnVaCgQCKioqivkDAAAdl6uAcvXVV2v79u0xZX/+85914YUXSpIqKioUCoW0cuXK6ONNTU1atWqVhg8fLkkaPHiwcnNzY+rs379fW7ZsidYBAADntk5uKv/sZz/T8OHDNXfuXE2ZMkWffPKJnn32WT377LOSvjm1U1VVpblz56pv377q27ev5s6dqy5duuiWW26RJAWDQd1xxx2aOXOmunbtqpKSEt17770aMGCAxowZ4/8nBAAAGcdVQBkyZIiWL1+u2bNn69FHH1VFRYWeeuop3XrrrdE6999/v44fP667775bdXV1Gjp0qN555x0VFhZG6zz55JPq1KmTpkyZouPHj2v06NF64YUXlJOT498nAwAAGcvVPCimYB4UAAAyT8rmQQEAAGgPBBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjNOmgDJv3jxlZWWpqqoqWmZZlubMmaNwOKz8/HyNGjVKW7dujXleY2OjZsyYoW7duqmgoEDXXXed9u7d25amAACADsRzQFm3bp2effZZXXbZZTHljz/+uBYtWqTFixdr3bp1CoVCGjt2rBoaGqJ1qqqqtHz5ci1dulSrV6/WkSNHNGnSJJ0+fdr7JwEAAB2Gp4By5MgR3XrrrXruuedUXFwcLbcsS0899ZQefPBBTZ48WZWVlXrxxRd17Ngxvfzyy5KkSCSiX//611q4cKHGjBmjgQMH6qWXXtLmzZv17rvv+vOpAABARvMUUKZNm6aJEydqzJgxMeW7du1STU2Nxo0bFy0LBAIaOXKk1qxZI0lav369Tp48GVMnHA6rsrIyWqelxsZG1dfXx/wBAICOq5PbJyxdulQbNmzQunXrWj1WU1MjSSotLY0pLy0t1e7du6N18vLyYnpemus0P7+lefPm6ZFHHnHbVAAAkKFc9aDs2bNHP/3pT/XSSy+pc+fOtvWysrJi/m9ZVquylhLVmT17tiKRSPRvz549bpoNAAAyjKselPXr16u2tlaDBw+Olp0+fVoffvihFi9erO3bt0v6ppekZ8+e0Tq1tbXRXpVQKKSmpibV1dXF9KLU1tZq+PDhcd83EAgoEAi4aWpK9J71Zquyr+ZPTENLAADo2Fz1oIwePVqbN2/Wpk2bon9XXnmlbr31Vm3atEl9+vRRKBTSypUro89pamrSqlWrouFj8ODBys3Njamzf/9+bdmyxTagmCBeOElUDgAAvHPVg1JYWKjKysqYsoKCAnXt2jVaXlVVpblz56pv377q27ev5s6dqy5duuiWW26RJAWDQd1xxx2aOXOmunbtqpKSEt17770aMGBAq0G3pkgWQnrPepOeFAAAfOR6kGwy999/v44fP667775bdXV1Gjp0qN555x0VFhZG6zz55JPq1KmTpkyZouPHj2v06NF64YUXlJOT43dzAABABsqyLMtKdyPcqq+vVzAYVCQSUVFRUcrfz8lpHHpQAABIzM3xm3vxOJAsfBBOAADwFwHFIbsQQjgBAMB/vo9B6cgIIwAAtA96UAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOJ3S3QC4s7G6TrsOHlVFtwINLC9Od3MAAEgJAkoGmf/WNj2zamf0/3eN7KNZE/qnsUUAAKQGp3gyxMbquphwIknPrNqpjdV1aWoRAACpQ0DJELsOHnVVDgBAJiOgZIiKbgWuygEAyGQElAwxsLxYd43sE1P245F9GCgLAOiQGCSbQWZN6K/xl4a4igcA0OERUDLMwPJiggkAoMPjFA8AADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOK4Cyrx58zRkyBAVFhaqR48euuGGG7R9+/aYOpZlac6cOQqHw8rPz9eoUaO0devWmDqNjY2aMWOGunXrpoKCAl133XXau3dv2z8NAADoEFwFlFWrVmnatGn6+OOPtXLlSp06dUrjxo3T0aNHo3Uef/xxLVq0SIsXL9a6desUCoU0duxYNTQ0ROtUVVVp+fLlWrp0qVavXq0jR45o0qRJOn36tH+fDAAAZKwsy7Isr08+cOCAevTooVWrVuk73/mOLMtSOBxWVVWVHnjgAUnf9JaUlpZqwYIFuvPOOxWJRNS9e3f99re/1dSpUyVJ+/btU1lZmVasWKHx48cnfd/6+noFg0FFIhEVFRV5bT4AAGhHbo7fbRqDEolEJEklJSWSpF27dqmmpkbjxo2L1gkEAho5cqTWrFkjSVq/fr1OnjwZUyccDquysjJaBwAAnNs6eX2iZVm65557NGLECFVWVkqSampqJEmlpaUxdUtLS7V79+5onby8PBUXF7eq0/z8lhobG9XY2Bj9f319vddmAwCADOC5B2X69On6/PPP9corr7R6LCsrK+b/lmW1KmspUZ158+YpGAxG/8rKyrw2GwAAZABPAWXGjBl644039P7776tXr17R8lAoJEmtekJqa2ujvSqhUEhNTU2qq6uzrdPS7NmzFYlEon979uzx0mwAAJAhXAUUy7I0ffp0vfbaa3rvvfdUUVER83hFRYVCoZBWrlwZLWtqatKqVas0fPhwSdLgwYOVm5sbU2f//v3asmVLtE5LgUBARUVFMX8AAKDjcjUGZdq0aXr55Zf17//+7yosLIz2lASDQeXn5ysrK0tVVVWaO3eu+vbtq759+2ru3Lnq0qWLbrnllmjdO+64QzNnzlTXrl1VUlKie++9VwMGDNCYMWP8/4QAACDjuAooTz/9tCRp1KhRMeXPP/+8fvjDH0qS7r//fh0/flx333236urqNHToUL3zzjsqLCyM1n/yySfVqVMnTZkyRcePH9fo0aP1wgsvKCcnp22fBgAAdAhtmgclXZgHBQCAzNNu86AAAACkAgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGCcTuluAAB0ZJOX/FE7ahvUt0ehXrv76nQ3B8gY9KAAQIr0nvWmNlQfVsOJ09pQfVi9Z72Z7iYBGYOAAgApMHnJH12VA4hFQAGAFNhR2+CqHEAsAgoApEDfHoWuygHEIqAAQArYDYhloCzgDAEFAFLkq/kTNaj8fBV2ztGg8vP11fyJ6W4SkDG4zBgAUogeE8AbelAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYJ60BZcmSJaqoqFDnzp01ePBgffTRR+lsDgAAMESndL3xsmXLVFVVpSVLlujqq6/Wr371K02YMEFffPGFysvL09Us9Z71Ztzy5XcP1wfbayVJ4fPzlZuTrYpuBRpYXtyezdPkJX/UhurDcR/7av7Edm2LHzZW12nXwaMJv8uz60jSroNHdfL0Ga3cWqOa+hMaeXEP3Te+X8re3w/x1qssSbsycJm1t43Vdfr+kjVxHzNxnW+5Tvmxji1bV63P9hzW5WXna+oQf/aPbWnXE29/qV++/x+O66d7OaXi+/Oq5fdud8yR0v+9pVuWZVlWOt546NChGjRokJ5++uloWf/+/XXDDTdo3rx5CZ9bX1+vYDCoSCSioqIi39qUaEWxc9fIPpo1ob9vbUjESfsyaYWe/9Y2PbNqZ/T/8b7LlnXsdC/M07oHx/r+/n5IttwyaZm1NyfL36Tvr2V7rygLatOeSPT/XtaxG365OuY1rigL6vVpI3xtp5t2DXlspQ40NLl+z3Qtp1R8f1453Z+dzaT12w9ujt9pOcXT1NSk9evXa9y4cTHl48aN05o1rX8pNTY2qr6+PubPb17CiSQ9s2qnNlbX+dya1iYv+aOjel4/R3vbWF3XakNt+V3Gq2PnQEOTnnj7S1/f3w9OlkdFhiyz9uZ0+Zuyzsdr79kHRsn9OrZsXXWr19i0J6Jl66p9bafTdj3x9peewomUnuWUiu/PKzf7s7OZsn6nQ1oCysGDB3X69GmVlpbGlJeWlqqmpqZV/Xnz5ikYDEb/ysrK2qupjuw6eDTl77GjtiHl79Ge7L6zs8vdfq8bdjvf8Tt5//aSli7MDJCOZdEWTtvr5nN9tuewq/K2vL+TdrnZxkyQiu/Pq0xbn02Q1kGyWVlZMf+3LKtVmSTNnj1bkUgk+rdnz572aqIjzWMjUqlvj8KUv0d7svvOzi53+70OutD5eXQn799eWq/xkNKzLNrCaXvdfK7Ly853Vd6W93fSLjfbmAlS8f15lWnrswnSElC6deumnJycVr0ltbW1rXpVJCkQCKioqCjmz29ez/P9eGSfdhko+9rdVzuqlynnKweWF+uukX1iylp+l/Hq2OlRmOdqoKyT9/eDk+XBQNn4nC5/U9b5eO29oiwY83+369jUIeWtXmNgWbBNAz3bsu7fN76fuhfmeXrfdCynVHx/XrnZn53NlPU7HdI6SHbw4MFasmRJtOySSy7R9ddfn7ZBshJX8bQ3ruLJvGXW3riKh6t42oqreMzh5vidtoCybNky3XbbbXrmmWc0bNgwPfvss3ruuee0detWXXjhhQmfm8qAAgAAUsPN8Ttt86BMnTpVhw4d0qOPPqr9+/ersrJSK1asSBpOAABAx5e2HpS2oAcFAIDMY/w8KAAAAIkQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA46Rtqvu2aJ78tr6+Ps0tAQAATjUft51MYp+RAaWhoUGSVFZWluaWAAAAtxoaGhQMBhPWych78Zw5c0b79u1TYWGhsrKyHD+vvr5eZWVl2rNnD/fwMQjLxVwsG3OxbMzFsrFnWZYaGhoUDoeVnZ14lElG9qBkZ2erV69enp9fVFTESmMglou5WDbmYtmYi2UTX7Kek2YMkgUAAMYhoAAAAOOcUwElEAjo4YcfViAQSHdTcBaWi7lYNuZi2ZiLZeOPjBwkCwAAOrZzqgcFAABkBgIKAAAwDgEFAAAYh4ACAACMY3RAmTNnjrKysmL+QqFQ9HHLsjRnzhyFw2Hl5+dr1KhR2rp1a8xrNDY2asaMGerWrZsKCgp03XXXae/evTF16urqdNtttykYDCoYDOq2227T4cOHY+pUV1fr2muvVUFBgbp166af/OQnampqStlnN8mHH36oa6+9VuFwWFlZWXr99ddjHjdtOWzevFkjR45Ufn6+LrjgAj366KOO7vuQiZItmx/+8IettqFvf/vbMXVYNv6bN2+ehgwZosLCQvXo0UM33HCDtm/fHlOH7SY9nCwbthtDWAZ7+OGHrUsvvdTav39/9K+2tjb6+Pz5863CwkLr1VdftTZv3mxNnTrV6tmzp1VfXx+tc9ddd1kXXHCBtXLlSmvDhg3WNddcY11++eXWqVOnonW+973vWZWVldaaNWusNWvWWJWVldakSZOij586dcqqrKy0rrnmGmvDhg3WypUrrXA4bE2fPr19vog0W7FihfXggw9ar776qiXJWr58eczjJi2HSCRilZaWWjfddJO1efNm69VXX7UKCwutf/mXf0ndF5RGyZbN7bffbn3ve9+L2YYOHToUU4dl47/x48dbzz//vLVlyxZr06ZN1sSJE63y8nLryJEj0TpsN+nhZNmw3ZjB+IBy+eWXx33szJkzVigUsubPnx8tO3HihBUMBq1nnnnGsizLOnz4sJWbm2stXbo0Wufrr7+2srOzrd///veWZVnWF198YUmyPv7442idtWvXWpKsL7/80rKsbw4C2dnZ1tdffx2t88orr1iBQMCKRCK+fd5M0PIgaNpyWLJkiRUMBq0TJ05E68ybN88Kh8PWmTNnfPwmzGMXUK6//nrb57Bs2kdtba0lyVq1apVlWWw3Jmm5bCyL7cYURp/ikaQdO3YoHA6roqJCN910k3bu3ClJ2rVrl2pqajRu3Lho3UAgoJEjR2rNmjWSpPXr1+vkyZMxdcLhsCorK6N11q5dq2AwqKFDh0brfPvb31YwGIypU1lZqXA4HK0zfvx4NTY2av369an78BnAtOWwdu1ajRw5MmaCpPHjx2vfvn366quv/P8CMsAHH3ygHj166Fvf+pZ+9KMfqba2NvoYy6Z9RCIRSVJJSYkkthuTtFw2zdhu0s/ogDJ06FD95je/0dtvv63nnntONTU1Gj58uA4dOqSamhpJUmlpacxzSktLo4/V1NQoLy9PxcXFCev06NGj1Xv36NEjpk7L9ykuLlZeXl60zrnKtOUQr07z/8/FZTVhwgT927/9m9577z0tXLhQ69at03e/+101NjZKYtm0B8uydM8992jEiBGqrKyUxHZjinjLRmK7MYXRdzOeMGFC9N8DBgzQsGHDdNFFF+nFF1+MDljKysqKeY5lWa3KWmpZJ159L3XOZSYth3htsXtuRzd16tTovysrK3XllVfqwgsv1JtvvqnJkyfbPo9l45/p06fr888/1+rVq1s9xnaTXnbLhu3GDEb3oLRUUFCgAQMGaMeOHdGreVomyNra2mi6DIVCampqUl1dXcI6f/nLX1q914EDB2LqtHyfuro6nTx5slWyPdeYthzi1Wnumj3Xl5Uk9ezZUxdeeKF27NghiWWTajNmzNAbb7yh999/X7169YqWs92kn92yiYftJj0yKqA0NjZq27Zt6tmzpyoqKhQKhbRy5cro401NTVq1apWGDx8uSRo8eLByc3Nj6uzfv19btmyJ1hk2bJgikYg++eSTaJ0//elPikQiMXW2bNmi/fv3R+u88847CgQCGjx4cEo/s+lMWw7Dhg3Thx9+GHOZ3jvvvKNwOKzevXv7/wVkmEOHDmnPnj3q2bOnJJZNqliWpenTp+u1117Te++9p4qKipjH2W7SJ9myiYftJk3aazSuFzNnzrQ++OADa+fOndbHH39sTZo0ySosLLS++uory7K+uUwvGAxar732mrV582br5ptvjnuZXq9evax3333X2rBhg/Xd73437qVgl112mbV27Vpr7dq11oABA+JeCjZ69Ghrw4YN1rvvvmv16tXrnLnMuKGhwdq4caO1ceNGS5K1aNEia+PGjdbu3bstyzJrORw+fNgqLS21br75Zmvz5s3Wa6+9ZhUVFXXYS/ISLZuGhgZr5syZ1po1a6xdu3ZZ77//vjVs2DDrggsuYNmk2I9//GMrGAxaH3zwQcylqseOHYvWYbtJj2TLhu3GHEYHlOZ5AXJzc61wOGxNnjzZ2rp1a/TxM2fOWA8//LAVCoWsQCBgfec737E2b94c8xrHjx+3pk+fbpWUlFj5+fnWpEmTrOrq6pg6hw4dsm699VarsLDQKiwstG699Varrq4ups7u3butiRMnWvn5+VZJSYk1ffr0mMu+OrL333/fktTq7/bbb7csy7zl8Pnnn1t/+7d/awUCASsUCllz5szpsJfjJVo2x44ds8aNG2d1797dys3NtcrLy63bb7+91ffOsvFfvGUiyXr++eejddhu0iPZsmG7MUeWZZ0L09EBAIBMklFjUAAAwLmBgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4/xfVeU5SDZvvbkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(range(len(s1)), s1, marker='o', s=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 's1' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[24], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m plt\u001b[39m.\u001b[39mscatter(s1\u001b[39m.\u001b[39mfill_null(strategy\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mbackward\u001b[39m\u001b[39m'\u001b[39m))\n",
      "\u001b[0;31mNameError\u001b[0m: name 's1' is not defined"
     ]
    }
   ],
   "source": [
    "plt.scatter(s1.fill_null(strategy='backward'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "size = len(s1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "start_index = 0\n",
    "# end_index = math.floor(size/2)\n",
    "end_index = 60000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7feea4e44910>]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(s1.fill_null(strategy='forward')[100:end_index])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7feea49b2680>]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.plot(s1.fill_null(strategy='zero')[57700:57720])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Analysis: The voltage drops from 800 to 0 in a very short span of time. I doubt that it is due to the battery discharge, since it quickly resumes to its normal voltage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What is the time?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2022-10-19T05:19:00Z\n",
      "2022-10-19T05:20:00Z\n",
      "2022-10-19T05:21:00Z\n"
     ]
    }
   ],
   "source": [
    "print(df['time'][57700])\n",
    "print(df['time'][57701])\n",
    "print(df['time'][57702])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "40"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns.index('PACK1_CRIDATA_BATT_VOL')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['',\n",
       " 'time',\n",
       " 'AVG_PACK_SOC',\n",
       " 'AvgSOC',\n",
       " 'AvgSOH',\n",
       " 'BATT_PACK_1_DISCONN',\n",
       " 'BATT_PACK_1_FAULT',\n",
       " 'BATT_PACK_1_WARN',\n",
       " 'BATT_PACK_2_DISCONN',\n",
       " 'BATT_PACK_2_FAULT',\n",
       " 'BATT_PACK_2_WARN',\n",
       " 'BATT_PACK_3_DISCONN',\n",
       " 'BATT_PACK_3_FAULT',\n",
       " 'BATT_PACK_3_WARN',\n",
       " 'BATT_PACK_4_DISCONN',\n",
       " 'BATT_PACK_4_FAULT',\n",
       " 'BATT_PACK_4_WARN',\n",
       " 'BATT_PACK_5_DISCONN',\n",
       " 'BATT_PACK_5_FAULT',\n",
       " 'BATT_PACK_5_WARN',\n",
       " 'BATT_PACK_6_DISCONN',\n",
       " 'BATT_PACK_6_FAULT',\n",
       " 'BATT_PACK_6_WARN',\n",
       " 'BATT_PACK_7_DISCONN',\n",
       " 'BATT_PACK_7_FAULT',\n",
       " 'BATT_PACK_7_WARN',\n",
       " 'BATT_ROOM_TEMP',\n",
       " 'Current',\n",
       " 'MAX_CELL_TEMP',\n",
       " 'MAX_CELL_VOL',\n",
       " 'MAX_PACK_SOC',\n",
       " 'MAX_UNCONN_PACK_VOL',\n",
       " 'MIN_CELL_TEMP',\n",
       " 'MIN_CELL_VOL',\n",
       " 'MIN_PACK_SOC',\n",
       " 'MIN_UNCONN_PACK_VOL',\n",
       " 'NUMBER_OF_PACKS_CONN',\n",
       " 'NUMBER_OF_PACKS_FAULTED',\n",
       " 'PACK1_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK1_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK1_CRIDATA_BATT_VOL',\n",
       " 'PACK1_CRIDATA_BUS_VOL',\n",
       " 'PACK1_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK1_CRIDATA_CURR',\n",
       " 'PACK1_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK1_CRIDATA_SOC',\n",
       " 'PACK1_CRIDATA_SOH',\n",
       " 'PACK2_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK2_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK2_CRIDATA_BATT_VOL',\n",
       " 'PACK2_CRIDATA_BUS_VOL',\n",
       " 'PACK2_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK2_CRIDATA_CURR',\n",
       " 'PACK2_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK2_CRIDATA_SOC',\n",
       " 'PACK2_CRIDATA_SOH',\n",
       " 'PACK3_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK3_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK3_CRIDATA_BATT_VOL',\n",
       " 'PACK3_CRIDATA_BUS_VOL',\n",
       " 'PACK3_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK3_CRIDATA_CURR',\n",
       " 'PACK3_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK3_CRIDATA_SOC',\n",
       " 'PACK3_CRIDATA_SOH',\n",
       " 'PACK4_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK4_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK4_CRIDATA_BATT_VOL',\n",
       " 'PACK4_CRIDATA_BUS_VOL',\n",
       " 'PACK4_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK4_CRIDATA_CURR',\n",
       " 'PACK4_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK4_CRIDATA_SOC',\n",
       " 'PACK4_CRIDATA_SOH',\n",
       " 'PACK5_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK5_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK5_CRIDATA_BATT_VOL',\n",
       " 'PACK5_CRIDATA_BUS_VOL',\n",
       " 'PACK5_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK5_CRIDATA_CURR',\n",
       " 'PACK5_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK5_CRIDATA_SOC',\n",
       " 'PACK5_CRIDATA_SOH',\n",
       " 'PACK6_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK6_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK6_CRIDATA_BATT_VOL',\n",
       " 'PACK6_CRIDATA_BUS_VOL',\n",
       " 'PACK6_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK6_CRIDATA_CURR',\n",
       " 'PACK6_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK6_CRIDATA_SOC',\n",
       " 'PACK6_CRIDATA_SOH',\n",
       " 'PACK7_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK7_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK7_CRIDATA_BATT_VOL',\n",
       " 'PACK7_CRIDATA_BUS_VOL',\n",
       " 'PACK7_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK7_CRIDATA_CURR',\n",
       " 'PACK7_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK7_CRIDATA_SOC',\n",
       " 'PACK7_CRIDATA_SOH',\n",
       " 'PACK_1_STATUS',\n",
       " 'PACK_2_STATUS',\n",
       " 'PACK_3_STATUS',\n",
       " 'PACK_4_STATUS',\n",
       " 'PACK_5_STATUS',\n",
       " 'PACK_6_STATUS',\n",
       " 'PACK_7_STATUS',\n",
       " 'RunningState',\n",
       " 'Voltage',\n",
       " 'valuestreamname']"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['PACK1_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK1_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK1_CRIDATA_BATT_VOL',\n",
       " 'PACK1_CRIDATA_BUS_VOL',\n",
       " 'PACK1_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK1_CRIDATA_CURR',\n",
       " 'PACK1_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK1_CRIDATA_SOC',\n",
       " 'PACK1_CRIDATA_SOH']"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns[38:47]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method DataFrame.melt of shape: (3, 9)\n",
       "┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬──────────┐\n",
       "│ PACK1_CRI ┆ PACK1_CRI ┆ PACK1_CRI ┆ PACK1_CRI ┆ … ┆ PACK1_CRI ┆ PACK1_CRI ┆ PACK1_CRI ┆ PACK1_CR │\n",
       "│ DATA_AVG_ ┆ DATA_AVG_ ┆ DATA_BATT ┆ DATA_BUS_ ┆   ┆ DATA_CURR ┆ DATA_DISC ┆ DATA_SOC  ┆ IDATA_SO │\n",
       "│ CELL_TEMP ┆ CELL_VOL  ┆ _VOL      ┆ VOL       ┆   ┆ ---       ┆ HARGE_CUR ┆ ---       ┆ H        │\n",
       "│ ---       ┆ ---       ┆ ---       ┆ ---       ┆   ┆ str       ┆ R_LIM…    ┆ str       ┆ ---      │\n",
       "│ str       ┆ str       ┆ str       ┆ str       ┆   ┆           ┆ ---       ┆           ┆ str      │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆ str       ┆           ┆          │\n",
       "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪══════════╡\n",
       "│ 26.0      ┆ 3961.0    ┆ 904.0     ┆ 0.0       ┆ … ┆ 0.0       ┆ 471.0     ┆ 80.0      ┆ 100.0    │\n",
       "│ 0.0       ┆ 0.0       ┆ 0.0       ┆ 0.0       ┆ … ┆ 0.0       ┆ 0.0       ┆ 0.0       ┆ 0.0      │\n",
       "│ 26.0      ┆ 3961.0    ┆ 904.0     ┆ 0.0       ┆ … ┆ 0.0       ┆ 471.0     ┆ 80.0      ┆ 100.0    │\n",
       "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘>"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[57712:57715, 38:47].melt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method DataFrame.melt of shape: (3, 3)\n",
       "┌─────────────────────┬───────────────────┬──────────────────┐\n",
       "│ BATT_PACK_1_DISCONN ┆ BATT_PACK_1_FAULT ┆ BATT_PACK_1_WARN │\n",
       "│ ---                 ┆ ---               ┆ ---              │\n",
       "│ str                 ┆ str               ┆ str              │\n",
       "╞═════════════════════╪═══════════════════╪══════════════════╡\n",
       "│ True                ┆ False             ┆ False            │\n",
       "│ null                ┆ null              ┆ null             │\n",
       "│ True                ┆ False             ┆ False            │\n",
       "└─────────────────────┴───────────────────┴──────────────────┘>"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[57712:57715, 5:8].melt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Turns out it was just a missing data row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr > th,\n",
       ".dataframe > tbody > tr > td {\n",
       "  text-align: right;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (3, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BATT_PACK_1_DISCONN</th><th>counts</th></tr><tr><td>str</td><td>u32</td></tr></thead><tbody><tr><td>&quot;False&quot;</td><td>150260</td></tr><tr><td>&quot;True&quot;</td><td>51769</td></tr><tr><td>null</td><td>71932</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (3, 2)\n",
       "┌─────────────────────┬────────┐\n",
       "│ BATT_PACK_1_DISCONN ┆ counts │\n",
       "│ ---                 ┆ ---    │\n",
       "│ str                 ┆ u32    │\n",
       "╞═════════════════════╪════════╡\n",
       "│ False               ┆ 150260 │\n",
       "│ True                ┆ 51769  │\n",
       "│ null                ┆ 71932  │\n",
       "└─────────────────────┴────────┘"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['BATT_PACK_1_DISCONN'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A strategy we can employ is to try to convert all 0 values in voltage to their neighbor values (interpolate)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Finding anomalies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr > th,\n",
       ".dataframe > tbody > tr > td {\n",
       "  text-align: right;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (5, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>PACK_1_STATUS</th><th>counts</th></tr><tr><td>str</td><td>u32</td></tr></thead><tbody><tr><td>null</td><td>66165</td></tr><tr><td>&quot;1.0&quot;</td><td>56</td></tr><tr><td>&quot;274.0&quot;</td><td>1</td></tr><tr><td>&quot;100.0&quot;</td><td>1</td></tr><tr><td>&quot;0.0&quot;</td><td>207738</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (5, 2)\n",
       "┌───────────────┬────────┐\n",
       "│ PACK_1_STATUS ┆ counts │\n",
       "│ ---           ┆ ---    │\n",
       "│ str           ┆ u32    │\n",
       "╞═══════════════╪════════╡\n",
       "│ null          ┆ 66165  │\n",
       "│ 1.0           ┆ 56     │\n",
       "│ 274.0         ┆ 1      │\n",
       "│ 100.0         ┆ 1      │\n",
       "│ 0.0           ┆ 207738 │\n",
       "└───────────────┴────────┘"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['PACK_1_STATUS'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr > th,\n",
       ".dataframe > tbody > tr > td {\n",
       "  text-align: right;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (3, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BATT_PACK_1_DISCONN</th><th>counts</th></tr><tr><td>str</td><td>u32</td></tr></thead><tbody><tr><td>&quot;False&quot;</td><td>150260</td></tr><tr><td>null</td><td>71932</td></tr><tr><td>&quot;True&quot;</td><td>51769</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (3, 2)\n",
       "┌─────────────────────┬────────┐\n",
       "│ BATT_PACK_1_DISCONN ┆ counts │\n",
       "│ ---                 ┆ ---    │\n",
       "│ str                 ┆ u32    │\n",
       "╞═════════════════════╪════════╡\n",
       "│ False               ┆ 150260 │\n",
       "│ null                ┆ 71932  │\n",
       "│ True                ┆ 51769  │\n",
       "└─────────────────────┴────────┘"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['BATT_PACK_1_DISCONN'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr > th,\n",
       ".dataframe > tbody > tr > td {\n",
       "  text-align: right;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (3, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BATT_PACK_1_FAULT</th><th>counts</th></tr><tr><td>str</td><td>u32</td></tr></thead><tbody><tr><td>&quot;False&quot;</td><td>137042</td></tr><tr><td>null</td><td>136820</td></tr><tr><td>&quot;True&quot;</td><td>99</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (3, 2)\n",
       "┌───────────────────┬────────┐\n",
       "│ BATT_PACK_1_FAULT ┆ counts │\n",
       "│ ---               ┆ ---    │\n",
       "│ str               ┆ u32    │\n",
       "╞═══════════════════╪════════╡\n",
       "│ False             ┆ 137042 │\n",
       "│ null              ┆ 136820 │\n",
       "│ True              ┆ 99     │\n",
       "└───────────────────┴────────┘"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['BATT_PACK_1_FAULT'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr > th,\n",
       ".dataframe > tbody > tr > td {\n",
       "  text-align: right;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (3, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>BATT_PACK_1_WARN</th><th>counts</th></tr><tr><td>str</td><td>u32</td></tr></thead><tbody><tr><td>&quot;True&quot;</td><td>148</td></tr><tr><td>null</td><td>131051</td></tr><tr><td>&quot;False&quot;</td><td>142762</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (3, 2)\n",
       "┌──────────────────┬────────┐\n",
       "│ BATT_PACK_1_WARN ┆ counts │\n",
       "│ ---              ┆ ---    │\n",
       "│ str              ┆ u32    │\n",
       "╞══════════════════╪════════╡\n",
       "│ True             ┆ 148    │\n",
       "│ null             ┆ 131051 │\n",
       "│ False            ┆ 142762 │\n",
       "└──────────────────┴────────┘"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['BATT_PACK_1_WARN'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "def convert_values(values):\n",
    "    numerical_values = []\n",
    "    for value in values:\n",
    "        if value == 'False':\n",
    "            numerical_values.append(0)\n",
    "        elif value == 'True':\n",
    "            numerical_values.append(1)\n",
    "        else:\n",
    "            numerical_values.append(-1)\n",
    "    return numerical_values\n",
    "\n",
    "\n",
    "numerical_values1 = convert_values(df['BATT_PACK_1_DISCONN'])\n",
    "numerical_values2 = convert_values(df['BATT_PACK_1_WARN'])\n",
    "numerical_values3 = convert_values(df['BATT_PACK_1_FAULT'])\n",
    "numerical_values4 = df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32).fill_null(strategy='backward')\n",
    "\n",
    "fig, axs = plt.subplots(nrows=2, ncols=2, figsize=(10,10))\n",
    "axs[0,0].scatter(range(len(numerical_values1)), numerical_values1)\n",
    "axs[0,0].set_title(\"disconnected\")\n",
    "axs[0,1].scatter(range(len(numerical_values2)), numerical_values2)\n",
    "axs[0,1].set_title(\"warning\")\n",
    "axs[1,0].scatter(range(len(numerical_values3)), numerical_values3)\n",
    "axs[1,0].set_title(\"fault\")\n",
    "axs[1,1].scatter(range(len(numerical_values4)), numerical_values4)\n",
    "axs[1,1].set_title(\"voltage\")\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(800.0, 1000.0)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = 125000\n",
    "\n",
    "fig, axs = plt.subplots(nrows=2, ncols=1, figsize=(10,16))\n",
    "\n",
    "numerical_values1 = df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32).fill_null(strategy='mean')[start:start+100000]\n",
    "numerical_values2 = convert_values(df['BATT_PACK_1_FAULT'])\n",
    "axs[0].scatter(range(len(numerical_values1)), numerical_values1, s=10)\n",
    "axs[1].scatter(range(len(numerical_values2)), numerical_values2, s=10)\n",
    "axs[0].set_ylim(800,1000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## charge discharge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fb3381abf10>]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df['PACK1_CRIDATA_CURR'].cast(pl.Float32).fill_null(0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'voltage')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = 115000\n",
    "end = start + 10000\n",
    "\n",
    "fig, axs = plt.subplots(nrows=2, ncols=1, figsize=(10,8))\n",
    "\n",
    "numerical_values0 = convert_values(df['BATT_PACK_1_FAULT'][start:end])\n",
    "numerical_values1 = df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "axs[0].scatter(range(len(numerical_values0)), numerical_values0, s=10)\n",
    "axs[0].set_title(\"fault\")\n",
    "axs[1].scatter(range(len(numerical_values2)), numerical_values2, s=10)\n",
    "axs[1].set_title(\"voltage\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'voltage')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = 50000\n",
    "end = start + 100000\n",
    "plt.figure(figsize=(8, 6))\n",
    "numerical_values = df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "plt.scatter(range(len(numerical_values)), numerical_values, s=10)\n",
    "plt.title(\"voltage\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'voltage')"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = 189000\n",
    "end = start + 1000\n",
    "plt.figure(figsize=(8, 6))\n",
    "numerical_values = df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "plt.scatter(range(len(numerical_values)), numerical_values, s=10)\n",
    "plt.title(\"voltage\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'temperature')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x2000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "end = start + 10000\n",
    "\n",
    "fig, axs = plt.subplots(nrows=4, ncols=1, figsize=(10,20))\n",
    "\n",
    "numerical_values0 = convert_values(df['BATT_PACK_1_FAULT'][start:end])\n",
    "numerical_values1 = convert_values(df['BATT_PACK_1_DISCONN'][start:end])\n",
    "numerical_values2 = df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values3 = df['PACK1_CRIDATA_AVG_CELL_TEMP'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "axs[0].scatter(range(len(numerical_values0)), numerical_values0, s=10)\n",
    "axs[0].set_title(\"fault\")\n",
    "axs[1].scatter(range(len(numerical_values1)), numerical_values1, s=10)\n",
    "axs[1].set_title(\"disconnect\")\n",
    "axs[2].scatter(range(len(numerical_values2)), numerical_values2, s=10)\n",
    "axs[2].set_title(\"voltage\")\n",
    "axs[3].scatter(range(len(numerical_values3)), numerical_values3, s=10)\n",
    "axs[3].set_title(\"temperature\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'temperature')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x2000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = 115000\n",
    "end = start + 10000\n",
    "\n",
    "fig, axs = plt.subplots(nrows=4, ncols=1, figsize=(10,20))\n",
    "\n",
    "numerical_values0 = convert_values(df['BATT_PACK_1_FAULT'][start:end])\n",
    "numerical_values1 = convert_values(df['BATT_PACK_1_DISCONN'][start:end])\n",
    "numerical_values2 = df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values3 = df['PACK1_CRIDATA_AVG_CELL_TEMP'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "axs[0].scatter(range(len(numerical_values0)), numerical_values0, s=10)\n",
    "axs[0].set_title(\"fault\")\n",
    "axs[1].scatter(range(len(numerical_values1)), numerical_values1, s=10)\n",
    "axs[1].set_title(\"disconnect\")\n",
    "axs[2].scatter(range(len(numerical_values2)), numerical_values2, s=10)\n",
    "axs[2].set_title(\"voltage\")\n",
    "axs[3].scatter(range(len(numerical_values3)), numerical_values3, s=10)\n",
    "axs[3].set_title(\"temperature\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## temperature?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fb2b58497e0>]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ds379ei1atMi+iqmwsFCrV6/uif0FAAD9hMsYY/q6Eb0hHA7LsiyFQiHOj+knfv3+YRW/Wi1JOrjyrr5tDACgV3Tn9Zt7JwEAAEcixAAAAEcixAAAAEcixAAAAEcixAAAAEcixAAAAEcixMAxPucWXACA6wwhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBo7hcrn6ugkAgGsIIQYAADhSt0JMSUmJ7rzzTnm9XqWlpemee+7Rvn37omoeeughuVyuqGncuHFRNZFIRAsXLlRqaqoSExNVWFioQ4cORdXU19erqKhIlmXJsiwVFRWpoaHhyvYSAAD0O90KMZs3b9ajjz6qyspKlZWV6fTp08rPz9fJkyej6mbMmKHa2lp7evPNN6OWFxcXa8OGDSotLdWWLVvU1NSkgoICtbe32zWzZ89WdXW1AoGAAoGAqqurVVRUdBW7CgAA+hN3d4oDgUDU4xdffFFpaWmqqqrS17/+dXu+x+ORz+e74DpCoZBeeOEFvfzyy5o6daok6ZVXXlFmZqbeeustTZ8+XR9++KECgYAqKyuVm5srSXr++eeVl5enffv2acSIEd3aSQAA0P9c1TkxoVBIkpSSkhI1f9OmTUpLS9Ott96qefPmqa6uzl5WVVWltrY25efn2/P8fr+ys7NVXl4uSaqoqJBlWXaAkaRx48bJsiy7prNIJKJwOBw1AQCA/uuKQ4wxRosXL9bXvvY1ZWdn2/Nnzpyp9evX6+2339bTTz+t7du3a/LkyYpEIpKkYDCo+Ph4JScnR60vPT1dwWDQrklLS+uyzbS0NLums5KSEvv8GcuylJmZeaW7BgAAHKBbHyedb8GCBfrggw+0ZcuWqPkPPPCA/XN2drbGjh2rrKwsvfHGG7rvvvsuuj5jTNQltBe6nLZzzfmWLVumxYsX24/D4TBBBgCAfuyKRmIWLlyo3/72t3rnnXc0ZMiQS9ZmZGQoKytL+/fvlyT5fD61traqvr4+qq6urk7p6el2zdGjR7us69ixY3ZNZx6PR0lJSVETAADov7oVYowxWrBggV5//XW9/fbbGjZs2Oc+58SJE6qpqVFGRoYkKScnR3FxcSorK7NramtrtWvXLo0fP16SlJeXp1AopG3bttk1W7duVSgUsmsAAMD1rVsfJz366KP6xS9+od/85jfyer32+SmWZSkhIUFNTU1avny57r//fmVkZOjgwYN64oknlJqaqnvvvdeunTt3rpYsWaLBgwcrJSVFS5cu1ahRo+yrlUaOHKkZM2Zo3rx5Wrt2rSRp/vz5Kigo4MokAAAgqZshZs2aNZKkiRMnRs1/8cUX9dBDDyk2NlY7d+7USy+9pIaGBmVkZGjSpEl69dVX5fV67fpVq1bJ7XZr1qxZam5u1pQpU7Ru3TrFxsbaNevXr9eiRYvsq5gKCwu1evXqK91PAADQz7iMMaavG9EbwuGwLMtSKBTi/Jh+4nd/PqKFv3xfknRw5V193BoAQG/ozus3904CAACORIgBAACORIgBAACORIgBAACORIgBAACORIgBAACORIgBAACORIgBAACORIgBAACORIgBAACORIiBY7hcfd0CAMC1hBADAAAciRADAAAciRADAAAciRADAAAciRADAAAciRADAAAciRADAAAciRADAAAciRADAAAciRADAAAciRADAAAciRADx3CJmycBAM4hxAAAAEcixAAAAEcixAAAAEcixAAAAEcixAAAAEcixAAAAEcixAAAAEcixAAAAEcixAAAAEfqVogpKSnRnXfeKa/Xq7S0NN1zzz3at29fVI0xRsuXL5ff71dCQoImTpyo3bt3R9VEIhEtXLhQqampSkxMVGFhoQ4dOhRVU19fr6KiIlmWJcuyVFRUpIaGhivbSwAA0O90K8Rs3rxZjz76qCorK1VWVqbTp08rPz9fJ0+etGueeuopPfPMM1q9erW2b98un8+nadOmqbGx0a4pLi7Whg0bVFpaqi1btqipqUkFBQVqb2+3a2bPnq3q6moFAgEFAgFVV1erqKioB3YZAAD0C+Yq1NXVGUlm8+bNxhhjOjo6jM/nMytXrrRrWlpajGVZ5rnnnjPGGNPQ0GDi4uJMaWmpXXP48GETExNjAoGAMcaYPXv2GEmmsrLSrqmoqDCSzN69ey+rbaFQyEgyoVDoanYR15A3Pjhisr77e5P13d/3dVMAAL2kO6/fV3VOTCgUkiSlpKRIkg4cOKBgMKj8/Hy7xuPxaMKECSovL5ckVVVVqa2tLarG7/crOzvbrqmoqJBlWcrNzbVrxo0bJ8uy7JrOIpGIwuFw1AQAAPqvKw4xxhgtXrxYX/va15SdnS1JCgaDkqT09PSo2vT0dHtZMBhUfHy8kpOTL1mTlpbWZZtpaWl2TWclJSX2+TOWZSkzM/NKdw0AADjAFYeYBQsW6IMPPtAvf/nLLstcLlfUY2NMl3mdda65UP2l1rNs2TKFQiF7qqmpuZzdAAAADnVFIWbhwoX67W9/q3feeUdDhgyx5/t8PknqMlpSV1dnj874fD61traqvr7+kjVHjx7tst1jx451GeU5y+PxKCkpKWoCAAD9V7dCjDFGCxYs0Ouvv663335bw4YNi1o+bNgw+Xw+lZWV2fNaW1u1efNmjR8/XpKUk5OjuLi4qJra2lrt2rXLrsnLy1MoFNK2bdvsmq1btyoUCtk1AADg+ubuTvGjjz6qX/ziF/rNb34jr9drj7hYlqWEhAS5XC4VFxdrxYoVGj58uIYPH64VK1Zo4MCBmj17tl07d+5cLVmyRIMHD1ZKSoqWLl2qUaNGaerUqZKkkSNHasaMGZo3b57Wrl0rSZo/f74KCgo0YsSIntx/AADgUN0KMWvWrJEkTZw4MWr+iy++qIceekiS9Pjjj6u5uVmPPPKI6uvrlZubq40bN8rr9dr1q1atktvt1qxZs9Tc3KwpU6Zo3bp1io2NtWvWr1+vRYsW2VcxFRYWavXq1VeyjwAAoB9yGWNMXzeiN4TDYVmWpVAoxPkx/cSbO2v1yPr3JEkHV97Vx60BAPSG7rx+c+8kAADgSIQYAADgSIQYOMalv2kIAHC9IcQAAABHIsQAAABHIsQAAABHIsQAAABHIsQAAABHIsQAAABHIsQAAABHIsQAAABHIsQAAABHIsQAAABHIsQAAABHIsTAMVzcPAkAcB5CDAAAcCRCDAAAcCRCDAAAcCRCDAAAcCRCDAAAcCRCDAAAcCRCDAAAcCRCDAAAcCRCDAAAcCRCDAAAcCRCDAAAcCRCDByEmycBAM4hxAAAAEcixAAAAEcixAAAAEcixAAAAEfqdoh59913dffdd8vv98vlcunXv/511PKHHnpILpcraho3blxUTSQS0cKFC5WamqrExEQVFhbq0KFDUTX19fUqKiqSZVmyLEtFRUVqaGjo9g4CAID+qdsh5uTJkxozZoxWr1590ZoZM2aotrbWnt58882o5cXFxdqwYYNKS0u1ZcsWNTU1qaCgQO3t7XbN7NmzVV1drUAgoEAgoOrqahUVFXW3uQAAoJ9yd/cJM2fO1MyZMy9Z4/F45PP5LrgsFArphRde0Msvv6ypU6dKkl555RVlZmbqrbfe0vTp0/Xhhx8qEAiosrJSubm5kqTnn39eeXl52rdvn0aMGNHdZgMAgH6mV86J2bRpk9LS0nTrrbdq3rx5qqurs5dVVVWpra1N+fn59jy/36/s7GyVl5dLkioqKmRZlh1gJGncuHGyLMuu6SwSiSgcDkdNAACg/+rxEDNz5kytX79eb7/9tp5++mlt375dkydPViQSkSQFg0HFx8crOTk56nnp6ekKBoN2TVpaWpd1p6Wl2TWdlZSU2OfPWJalzMzMHt4zAABwLen2x0mf54EHHrB/zs7O1tixY5WVlaU33nhD991330WfZ4yRy3XuG1nP//liNedbtmyZFi9ebD8Oh8MEGQAA+rFev8Q6IyNDWVlZ2r9/vyTJ5/OptbVV9fX1UXV1dXVKT0+3a44ePdplXceOHbNrOvN4PEpKSoqaAABA/9XrIebEiROqqalRRkaGJCknJ0dxcXEqKyuza2pra7Vr1y6NHz9ekpSXl6dQKKRt27bZNVu3blUoFLJrcP25yCAcAOA61e2Pk5qamvTRRx/Zjw8cOKDq6mqlpKQoJSVFy5cv1/3336+MjAwdPHhQTzzxhFJTU3XvvfdKkizL0ty5c7VkyRINHjxYKSkpWrp0qUaNGmVfrTRy5EjNmDFD8+bN09q1ayVJ8+fPV0FBAVcmAQAASVcQYnbs2KFJkybZj8+ehzJnzhytWbNGO3fu1EsvvaSGhgZlZGRo0qRJevXVV+X1eu3nrFq1Sm63W7NmzVJzc7OmTJmidevWKTY21q5Zv369Fi1aZF/FVFhYeMnvpgEAANcXlzHG9HUjekM4HJZlWQqFQpwf00/8cXdQ//JylSTp4Mq7+rg1AIDe0J3Xb+6dBAAAHIkQAwAAHIkQAwAAHIkQAwAAHIkQAwAAHIkQAwAAHIkQAwAAHIkQA8fgrgMAgPMRYgAAgCMRYgAAgCMRYgAAgCMRYgAAgCMRYgAAgCMRYgAAgCMRYgAAgCMRYgAAgCMRYgAAgCMRYgAAgCMRYgAAgCMRYuAYLhd3TwIAnEOIAQAAjkSIAQAAjkSIAQAAjkSIAQAAjkSIAQAAjkSIAQAAjkSIAQAAjkSIAQAAjkSIAQAAjkSIAQAAjkSIAQAAjtTtEPPuu+/q7rvvlt/vl8vl0q9//euo5cYYLV++XH6/XwkJCZo4caJ2794dVROJRLRw4UKlpqYqMTFRhYWFOnToUFRNfX29ioqKZFmWLMtSUVGRGhoaur2D6D+4cxIA4HzdDjEnT57UmDFjtHr16gsuf+qpp/TMM89o9erV2r59u3w+n6ZNm6bGxka7pri4WBs2bFBpaam2bNmipqYmFRQUqL293a6ZPXu2qqurFQgEFAgEVF1draKioivYRQAA0C+ZqyDJbNiwwX7c0dFhfD6fWblypT2vpaXFWJZlnnvuOWOMMQ0NDSYuLs6UlpbaNYcPHzYxMTEmEAgYY4zZs2ePkWQqKyvtmoqKCiPJ7N2797LaFgqFjCQTCoWuZhdxDSnbHTRZ3/29yfru7/u6KQCAXtKd1+8ePSfmwIEDCgaDys/Pt+d5PB5NmDBB5eXlkqSqqiq1tbVF1fj9fmVnZ9s1FRUVsixLubm5ds24ceNkWZZdAwAArm/unlxZMBiUJKWnp0fNT09P1yeffGLXxMfHKzk5uUvN2ecHg0GlpaV1WX9aWppd01kkElEkErEfh8PhK98RAABwzeuVq5NcruhTMI0xXeZ11rnmQvWXWk9JSYl9ErBlWcrMzLyClgMAAKfo0RDj8/kkqctoSV1dnT064/P51Nraqvr6+kvWHD16tMv6jx071mWU56xly5YpFArZU01NzVXvDwAAuHb1aIgZNmyYfD6fysrK7Hmtra3avHmzxo8fL0nKyclRXFxcVE1tba127dpl1+Tl5SkUCmnbtm12zdatWxUKheyazjwej5KSkqImAADQf3X7nJimpiZ99NFH9uMDBw6ourpaKSkpGjp0qIqLi7VixQoNHz5cw4cP14oVKzRw4EDNnj1bkmRZlubOnaslS5Zo8ODBSklJ0dKlSzVq1ChNnTpVkjRy5EjNmDFD8+bN09q1ayVJ8+fPV0FBgUaMGNET+w0AAByu2yFmx44dmjRpkv148eLFkqQ5c+Zo3bp1evzxx9Xc3KxHHnlE9fX1ys3N1caNG+X1eu3nrFq1Sm63W7NmzVJzc7OmTJmidevWKTY21q5Zv369Fi1aZF/FVFhYeNHvpgEAANcflzHG9HUjekM4HJZlWQqFQny01E+8teeo/udLOyRJB1fe1cetAfqflrZ2/e//OqDJt6XpNh9/N9E3uvP6zb2T4Bifc4EbgKv03Oa/6qnAPs34yZ/6uinAZSHEAAAkSTsPhfq6CUC3EGIAAIAjEWIAAIAjEWIAAIAjEWIAAIAjEWIAAIAjEWIAAIAjEWIAAIAjEWIAAIAjEWIAAIAjEWIAAIAjEWLgGNw7CQBwPkIMAABwJEIMAEASo51wHkIMAABwJEIMAABwJEIMAABwJEIMAABwJEIMAABwJEIMAABwJEIMAABwJEIMAABwJEIMAABwJEIMHMMlvk4UAHAOIQYAADgSIQYA8BlGO+EshBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIhBgAAOBIPR5ili9fLpfLFTX5fD57uTFGy5cvl9/vV0JCgiZOnKjdu3dHrSMSiWjhwoVKTU1VYmKiCgsLdejQoZ5uKgAAcLBeGYm54447VFtba087d+60lz311FN65plntHr1am3fvl0+n0/Tpk1TY2OjXVNcXKwNGzaotLRUW7ZsUVNTkwoKCtTe3t4bzQUAAA7k7pWVut1Roy9nGWP0k5/8RN///vd13333SZJ+/vOfKz09Xb/4xS/0L//yLwqFQnrhhRf08ssva+rUqZKkV155RZmZmXrrrbc0ffr03mgyAABwmF4Zidm/f7/8fr+GDRumBx98UB9//LEk6cCBAwoGg8rPz7drPR6PJkyYoPLycklSVVWV2traomr8fr+ys7PtmguJRCIKh8NRE/oZvocLAHCeHg8xubm5eumll/THP/5Rzz//vILBoMaPH68TJ04oGAxKktLT06Oek56ebi8LBoOKj49XcnLyRWsupKSkRJZl2VNmZmYP7xkAALiW9HiImTlzpu6//36NGjVKU6dO1RtvvCHpzMdGZ7lc0W+pjTFd5nX2eTXLli1TKBSyp5qamqvYCwAAcK3r9UusExMTNWrUKO3fv98+T6bziEpdXZ09OuPz+dTa2qr6+vqL1lyIx+NRUlJS1AQAAPqvXg8xkUhEH374oTIyMjRs2DD5fD6VlZXZy1tbW7V582aNHz9ekpSTk6O4uLiomtraWu3atcuuAQAA6PGrk5YuXaq7775bQ4cOVV1dnf71X/9V4XBYc+bMkcvlUnFxsVasWKHhw4dr+PDhWrFihQYOHKjZs2dLkizL0ty5c7VkyRINHjxYKSkpWrp0qf3xFAAAgNQLIebQoUP61re+pePHj+vGG2/UuHHjVFlZqaysLEnS448/rubmZj3yyCOqr69Xbm6uNm7cKK/Xa69j1apVcrvdmjVrlpqbmzVlyhStW7dOsbGxPd1cAADgUC5jjOnrRvSGcDgsy7IUCoU4P6afeGdfnf77i9slSQdX3tXHrQH6n//58x1668Ojkvg3hr7Tnddv7p0EAAAciRADAAAciRADAAAciRADAAAciRADx+DWSQCA8xFiAACAIxFiAACAIxFiAACAIxFiAACAIxFiAACSJBdnz8NhCDEAAMCRCDEAAMCRCDEAAMCRCDEAAMCRCDEAAMCRCDEAAMCRCDFwDBfXfwIAzkOIAQAAjkSIAQAAjkSIAQAAjkSIAQAAjkSIAQBIkjh1Hk5DiAEAAI5EiAEAAI5EiAEAAI5EiIEjtbS193UTAAB9jBADR7rtBwH9vPxgXzcDANCHCDFwjM5XTmz56HiftAMAcG0gxMAxTKfH7R2d5wAArieEGDhGe0dH1OO29o6LVAIArgeEGDjG6fbokRdGYgDg+nbNh5hnn31Ww4YN04ABA5STk6M//elPfd0k9JHTnUJL51ADALi+uPu6AZfy6quvqri4WM8++6z+4R/+QWvXrtXMmTO1Z88eDR06tE/adKj+lAK7gn2y7etJS1u7/m3jX/Q//mGYjjQ068Dxk9p3tDGqZtvBv2nNpr8qLvbKvyz9ZKRdL1d+ohs8sVHzD544JUm6efBA/fjeUdq0r07vf9qgGJdLLpcU43IpNib65xiX5I6J0Q0D3IpxScZIHUYyxshI6jDm3GNz5rEx0snW02pubVdMjEuxLpdiYs6t83S70ZaPjmtoykDl356uRI9biZ5Yne4wam83aoqc1mvvHdb0O9KVPDA+ah+OhJr1Xx8d131fGaLArqBuTb9BG/cclTHSgkm3dKufNu4JKs07QLek3aCGU6063WHkHeDWzYMTlfulwUrzetTeYc60q6ND4ZbTamlrlzsmRrExZ/bFHeOSO/bMPtaGWhTYHZQxRlsP/E25w1J04w0euVyu8/pYcp3X3zEuyaVzjwffEC8rIU7+QQm68QaPjja2qLm1XQ3Nbfpd9RG1nG7XAHfsZ33mVocxau84M3UYo91HwtpbG1ZCfKw87lglJcTpK0MHaWjKQKUkxsvlcqmjw6j9s+edaGrVn/YfU4zLpX1HG+UflKAv35iouNgYuWNcSoiPtbdjjNTRceb3febxuZ9b2jpU8dfjOhJq0e8WfE2SdPfqLfJ63EqIj9XoIYOUkhh33nPPHTtn19XS1qGtH59QqtejnKxkdXQYtXUYfXzspOLdMUr3euzj0+5TnenTM/17ro+b2zr0uz8fUe6wFG098Df7d97c2q6E+NiLHBEX19jSpv/66ISMMXLHxsgd65InNkYJ8WeO2xNNETW3taut3djHTLi5TRv3HNWfaxr01ZtTVF3ToNb2Dk2/I10D491yx7jkHRCnpAS34mLPHFMdxij1Bo++mTNELlf034CODqNP/nZK7hiX0pI88ri7vx8nI6f1YW1Yhxua1Xq6Q23tRuGWNtWfalWkrUMNp1rVYaREj1uHG5r17l+O6d6/v0ku6bN/B2fqz/47cMee+TcQ746Rd0CcXDr396G90++3rd3oZOS04mJjNDztBt2WkSRjjOoaI6oLt+hXVYeUPDBeX7/1RkVOt+v19w7r74cO0sxsn979y3HFu2PUFDmtmwcP1KCB8XZ/6cx/6ug49zfJnPc3ypx3jNY1tmhI8kAlJbg1ODFeN3jiFBfrkicuVkkDzvweJMlKiFP2TVa3+7enuIwx1+zb2dzcXH3lK1/RmjVr7HkjR47UPffco5KSkks+NxwOy7IshUIhJSUl9Vib3v3LMf3z/97WY+vDtW/8lwer/K8n+roZ6IduGpSgww3Nfd2MC4pxSRlWglK9Hn0pNVHxsTFq6+hQe4dRc2u7Tn0Wckb6vBr3pcF6Y2etDhw/2Sf/Vj6vHwfGx8pKiJN3gPuzQHzuzcLZgHz253h3jI43RbQ32HjR9eGcr996o176H1/t0XV25/X7mh2JaW1tVVVVlb73ve9Fzc/Pz1d5eXmX+kgkokgkYj8Oh8O90q60JI/u+Tt/r6wb5/y6+kiXeXf4k7T7SPTv9R+Hp2pwYnyX2u7KvsnS32UOsh//t+cq7J/31J7Z5g0et576b6OjRlTaz3u33fHZO6+2zz7mskcPzn/3q8/eDcec+fnsu+QbBrgV63Kp/bN3YmdHDNo7jP7rryeUNMCtgfGxOtHUKklnRjZiXfrlthq7nQ+Nvzlqn9Zd4nt0MlMSNOW29Mvqm/K/HtdfjjZJkh6d9GV53LEaEBejEydbtWX/ce0NNtojLedGXWJ0gydWMZ/t0+l2o9MdHQo1t8kdc+ZdYmf/nJd1Xt9Gj1h1GMno3LvGk63tajjVqhMnW1Xb0KLmtnYNiIvRjV6P4mNj5B+UoKSEON3hT9LfmlplPuuzMyNc+mzEyyWXXPrHW1MVbm7TgeMndbi+WZ/+7ZROtbbb+3L2Oe6YGB2qP6Vb0rxqa+/QCJ9XA+NjdbrdqKXtzAiQMef9fs8bQTr7+49xSY0tp/XClgOS1OWFd9rt6fq7zEEXfe65Y8qlvcGwTrcb3ZyaeGaUK8YlI+lwfbOG3ZjYZdSvyyigzvz/qcC+C/7eO8yZ9h1uaNafaxouenyU7Tmqf3/7oy7z/37oIBkjtZ4+83s3xijeHaMBcbEafEO84mNjFBsTo7jYM/38+w9qJUlDkhNUMNqvk5HTyho8UJJ0qrVdfzvZqrb2js+OJaPX3jtkb+vzguCpz0JXbeiSZV0MGhinmwcnKnlgnOJiYxTnjtHgxHh5B7jlcccqNsalcEub1m7+WJIU747R/8ofYf/7dMfEKNETK5fLpfaOM6M5Dada1dZu5HJ9dhy6uo7onv270Hq6XdU1DTp44pTiY2OUMWiAPqwN2/8el0y7VU+X/eWCbf9mzhClJw1QU+T0BUc3Xer090nRy/64O6gxmYPkjnHpbydb1dreobb2DtWfalNL67kvGx2SnNC9Tu1h12yIOX78uNrb25WeHv2HNj09XcFg149zSkpK9MMf/rDX23WbL0k/efDve30717vOIcbrcWv+17+kx0qro+Y//89jNSCu+0PF3dFwqk2S5B80QP80KqNXt3UhD3714h+dHg1H9PbeOt15c7KWF94RtexsiBmblawdn9RHLft/7hut8bekXtb2Kz8+oQd/VilJ+l/Tb4teOPOyVtHFO/vq9N9f3B4170ffyL6ylenMRx8D4mK6fKzQHRNHXPFTu+1siOns+X8e+8U14jMf1jbqd38+ott8Xg1NGaiNe45q9BBLP3ng71R/qlV/PXZStQ0t9schZwOrJy5WTS2n9aePjuvdvxyTJHncMVpblKPh6V7dNKh7L26//+ANSdKjk27Rty5xzJ91foi5mAMl/6TjTa0Kt7TpeGMk+k3H2anjXMhraWtXc1u7kgbEKfumJA1NGXhZx9TZEPP9fxqpOZ3eTPS0fcFGTf/Ju5KkhVOG6//urVP1ZyFzZEaSPqwNyzvArf/3m2OuajuPTR1+tU39QlyzHycdOXJEN910k8rLy5WXl2fP//GPf6yXX35Ze/fujaq/0EhMZmZmj3+chC9GXWOLvvrj/6sYl/SdiV/WP9ySqnHDBuv/7KjRV7KSdbi+WbExLn391ht7Zft7g2HtOFiv0+0dOtYUkUsu5d+RrtFDBvXK9q5Uw6lW/ab6iArH+JXcaUTqo7ombT1wQrPGZuq1qkP6+6HJ+uW2TxUb49IPCm6/7G0YY/T6e4d1a7pXo4b0zGffxhgt/j9/1k2DEnRTcoLGZiVreLq3R9btBDsO/k1Pb/yLvpI1SPWn2lT58QmVzh+nNO+AL7wtoeY2/ab6sGZmZyg+Nka/+fNh3TUqQ4Nv8Fz2Og4eP6n/+utxfTMnU/HuK7teZP/RRm0/WK8H78xUTMznB4eqT+q19Fd/1oxsn0bfZGlM5iB955Uq/aDgdn187KSyb7J0u/+L+dt/9t/ag3cOVexltP1q/e7PR+QflKCcrGQdPH5SP/jNLo0ZMkgLJt+iX1Ud0sRbb1RmysBeb0dv6c7HSddsiGltbdXAgQP1q1/9Svfee689/7HHHlN1dbU2b958yef31jkxAACg93Tn9fuavcQ6Pj5eOTk5Kisri5pfVlam8ePH91GrAADAteKaPSdGkhYvXqyioiKNHTtWeXl5+tnPfqZPP/1UDz/8cF83DQAA9LFrOsQ88MADOnHihH70ox+ptrZW2dnZevPNN5WVldXXTQMAAH3smj0n5mpxTgwAAM7TL86JAQAAuBRCDAAAcCRCDAAAcCRCDAAAcCRCDAAAcCRCDAAAcCRCDAAAcCRCDAAAcCRCDAAAcKRr+rYDV+PsFxGHw+E+bgkAALhcZ1+3L+eGAv02xDQ2NkqSMjMz+7glAACguxobG2VZ1iVr+u29kzo6OnTkyBF5vV65XK4eXXc4HFZmZqZqamq4L9NVoB97Bv3Yc+jLnkE/9ozrtR+NMWpsbJTf71dMzKXPeum3IzExMTEaMmRIr24jKSnpujqwegv92DPox55DX/YM+rFnXI/9+HkjMGdxYi8AAHAkQgwAAHAkQswV8Hg8evLJJ+XxePq6KY5GP/YM+rHn0Jc9g37sGfTj5+u3J/YCAID+jZEYAADgSIQYAADgSIQYAADgSIQYAADgSISYbnr22Wc1bNgwDRgwQDk5OfrTn/7U1036wixfvlwulytq8vl89nJjjJYvXy6/36+EhARNnDhRu3fvjlpHJBLRwoULlZqaqsTERBUWFurQoUNRNfX19SoqKpJlWbIsS0VFRWpoaIiq+fTTT3X33XcrMTFRqampWrRokVpbW3tt36/Gu+++q7vvvlt+v18ul0u//vWvo5Zfa/22c+dOTZgwQQkJCbrpppv0ox/96LLuYfJF+Ly+fOihh7oco+PGjYuqud77sqSkRHfeeae8Xq/S0tJ0zz33aN++fVE1HJOX53L6kmOylxlcttLSUhMXF2eef/55s2fPHvPYY4+ZxMRE88knn/R1074QTz75pLnjjjtMbW2tPdXV1dnLV65cabxer3nttdfMzp07zQMPPGAyMjJMOBy2ax5++GFz0003mbKyMvPee++ZSZMmmTFjxpjTp0/bNTNmzDDZ2dmmvLzclJeXm+zsbFNQUGAvP336tMnOzjaTJk0y7733nikrKzN+v98sWLDgi+mIbnrzzTfN97//ffPaa68ZSWbDhg1Ry6+lfguFQiY9Pd08+OCDZufOnea1114zXq/X/Nu//VvvdVA3fF5fzpkzx8yYMSPqGD1x4kRUzfXel9OnTzcvvvii2bVrl6murjZ33XWXGTp0qGlqarJrOCYvz+X0Jcdk7yLEdMNXv/pV8/DDD0fNu+2228z3vve9PmrRF+vJJ580Y8aMueCyjo4O4/P5zMqVK+15LS0txrIs89xzzxljjGloaDBxcXGmtLTUrjl8+LCJiYkxgUDAGGPMnj17jCRTWVlp11RUVBhJZu/evcaYMy9kMTEx5vDhw3bNL3/5S+PxeEwoFOqx/e0NnV94r7V+e/bZZ41lWaalpcWuKSkpMX6/33R0dPRgT1y9i4WYb3zjGxd9Dn3ZVV1dnZFkNm/ebIzhmLwanfvSGI7J3sbHSZeptbVVVVVVys/Pj5qfn5+v8vLyPmrVF2///v3y+/0aNmyYHnzwQX388ceSpAMHDigYDEb1j8fj0YQJE+z+qaqqUltbW1SN3+9Xdna2XVNRUSHLspSbm2vXjBs3TpZlRdVkZ2fL7/fbNdOnT1ckElFVVVXv7XwvuNb6raKiQhMmTIj6cq3p06fryJEjOnjwYM93QC/YtGmT0tLSdOutt2revHmqq6uzl9GXXYVCIUlSSkqKJI7Jq9G5L8/imOw9hJjLdPz4cbW3tys9PT1qfnp6uoLBYB+16ouVm5url156SX/84x/1/PPPKxgMavz48Tpx4oTdB5fqn2AwqPj4eCUnJ1+yJi0trcu209LSomo6byc5OVnx8fGO+11ca/12oZqzj53QtzNnztT69ev19ttv6+mnn9b27ds1efJkRSIRSfRlZ8YYLV68WF/72teUnZ0tiWPySl2oLyWOyd7Wb+9i3VtcLlfUY2NMl3n91cyZM+2fR40apby8PH35y1/Wz3/+c/tEtSvpn841F6q/khonuZb67UJtudhzrzUPPPCA/XN2drbGjh2rrKwsvfHGG7rvvvsu+rzrtS8XLFigDz74QFu2bOmyjGOyey7WlxyTvYuRmMuUmpqq2NjYLmm1rq6uS7K9XiQmJmrUqFHav3+/fZXSpfrH5/OptbVV9fX1l6w5evRol20dO3Ysqqbzdurr69XW1ua438W11m8Xqjk79O20vpWkjIwMZWVlaf/+/ZLoy/MtXLhQv/3tb/XOO+9oyJAh9nyOye67WF9eCMdkzyLEXKb4+Hjl5OSorKwsan5ZWZnGjx/fR63qW5FIRB9++KEyMjI0bNgw+Xy+qP5pbW3V5s2b7f7JyclRXFxcVE1tba127dpl1+Tl5SkUCmnbtm12zdatWxUKhaJqdu3apdraWrtm48aN8ng8ysnJ6dV97mnXWr/l5eXp3Xffjbosc+PGjfL7/br55pt7vgN62YkTJ1RTU6OMjAxJ9KV05p33ggUL9Prrr+vtt9/WsGHDopZzTF6+z+vLC+GY7GFf0AnE/cLZS6xfeOEFs2fPHlNcXGwSExPNwYMH+7ppX4glS5aYTZs2mY8//thUVlaagoIC4/V67f1fuXKlsSzLvP7662bnzp3mW9/61gUvyxwyZIh56623zHvvvWcmT558wUsJR48ebSoqKkxFRYUZNWrUBS8lnDJlinnvvffMW2+9ZYYMGXLNXmLd2Nho3n//ffP+++8bSeaZZ54x77//vn1p/rXUbw0NDSY9Pd1861vfMjt37jSvv/66SUpKumYuwbxUXzY2NpolS5aY8vJyc+DAAfPOO++YvLw8c9NNN9GX5/nOd75jLMsymzZtirrs99SpU3YNx+Tl+by+5JjsfYSYbvqP//gPk5WVZeLj481XvvKVqEvp+ruz3xURFxdn/H6/ue+++8zu3bvt5R0dHebJJ580Pp/PeDwe8/Wvf93s3Lkzah3Nzc1mwYIFJiUlxSQkJJiCggLz6aefRtWcOHHCfPvb3zZer9d4vV7z7W9/29TX10fVfPLJJ+auu+4yCQkJJiUlxSxYsCDqssFryTvvvGMkdZnmzJljjLn2+u2DDz4w//iP/2g8Ho/x+Xxm+fLl18zll5fqy1OnTpn8/Hxz4403mri4ODN06FAzZ86cLv10vfflhfpPknnxxRftGo7Jy/N5fckx2ftcxjj5q/oAAMD1inNiAACAIxFiAACAIxFiAACAIxFiAACAIxFiAACAIxFiAACAIxFiAACAIxFiAACAIxFiAACAIxFiAACAIxFiAACAIxFiAACAI/3/imbxc2eTmNAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.plot(df['PACK1_CRIDATA_AVG_CELL_TEMP'].cast(pl.Float32).fill_null(strategy='mean'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(800.0, 1000.0)"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = 50000 + 7500\n",
    "end = start + 1000\n",
    "\n",
    "fig, axs = plt.subplots(nrows=3, ncols=1, figsize=(10,16))\n",
    "\n",
    "numerical_values1 = df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32).fill_null(strategy='mean')[start:end]\n",
    "numerical_values2 = convert_values(df['BATT_PACK_1_FAULT'])[start:end]\n",
    "numerical_values3 = df['PACK1_CRIDATA_AVG_CELL_TEMP'].cast(pl.Float32).fill_null(strategy='mean')[start:end]\n",
    "axs[0].scatter(range(len(numerical_values1)), numerical_values1, s=10)\n",
    "axs[1].scatter(range(len(numerical_values2)), numerical_values2, s=10)\n",
    "axs[2].scatter(range(len(numerical_values3)), numerical_values3, s=10)\n",
    "axs[0].set_ylim(800,1000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SOH and SOC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fb2b5a8e8c0>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "series = df['PACK1_CRIDATA_SOC'].cast(pl.Float32).fill_null(strategy='mean')\n",
    "plt.scatter(range(len(series)), series, s=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fb2aec98ac0>"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "series = df['PACK1_CRIDATA_SOH'].cast(pl.Float32).fill_null(strategy='mean')\n",
    "plt.scatter(range(len(series)), series, s=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need to remove outlier data points (e.g. 4000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## find discharge zones"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The idea is to have 2 moving average windows, and then find if the moving window ahead is lower than the moving window before."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "window_size = 10\n",
    "series = df['PACK1_CRIDATA_SOC'].cast(pl.Float32).fill_null(strategy='mean')\n",
    "moving_avg = series.rolling_mean(window_size=window_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape: (9, 2)\n",
      "┌────────────┬───────────┐\n",
      "│ statistic  ┆ value     │\n",
      "│ ---        ┆ ---       │\n",
      "│ str        ┆ f64       │\n",
      "╞════════════╪═══════════╡\n",
      "│ count      ┆ 273961.0  │\n",
      "│ null_count ┆ 9.0       │\n",
      "│ mean       ┆ 80.893529 │\n",
      "│ std        ┆ 13.902372 │\n",
      "│ min        ┆ 0.0       │\n",
      "│ 25%        ┆ 80.893616 │\n",
      "│ 50%        ┆ 85.0      │\n",
      "│ 75%        ┆ 85.0      │\n",
      "│ max        ┆ 88.0      │\n",
      "└────────────┴───────────┘\n",
      "shape: (9, 2)\n",
      "┌────────────┬───────────┐\n",
      "│ statistic  ┆ value     │\n",
      "│ ---        ┆ ---       │\n",
      "│ str        ┆ f64       │\n",
      "╞════════════╪═══════════╡\n",
      "│ count      ┆ 273961.0  │\n",
      "│ null_count ┆ 0.0       │\n",
      "│ mean       ┆ 80.893613 │\n",
      "│ std        ┆ 13.989593 │\n",
      "│ min        ┆ -0.299927 │\n",
      "│ 25%        ┆ 80.893616 │\n",
      "│ 50%        ┆ 85.0      │\n",
      "│ 75%        ┆ 85.0      │\n",
      "│ max        ┆ 100.0     │\n",
      "└────────────┴───────────┘\n"
     ]
    }
   ],
   "source": [
    "print(moving_avg.describe())\n",
    "\n",
    "print(series.describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fb2ac34ead0>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(range(len(moving_avg)),moving_avg, s=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fb2ac872440>"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "subset = moving_avg[54500:55000]\n",
    "plt.scatter(range(len(subset)),subset, s=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that we get artifacts of the moving averages because the data is not clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(800.0, 1000.0)"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = 54500\n",
    "end = start + 5000\n",
    "\n",
    "fig, axs = plt.subplots(nrows=4, ncols=1, figsize=(10,16))\n",
    "numerical_values1 = df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32).fill_null(strategy='mean')[start:end]\n",
    "numerical_values2 = convert_values(df['BATT_PACK_1_FAULT'])[start:end]\n",
    "numerical_values3 = df['PACK1_CRIDATA_AVG_CELL_TEMP'].cast(pl.Float32).fill_null(strategy='mean')[start:end]\n",
    "numerical_values4 = df['PACK1_CRIDATA_SOC'].cast(pl.Float32).fill_null(strategy='mean')[start:end]\n",
    "axs[0].scatter(range(len(numerical_values1)), numerical_values1, s=10)\n",
    "axs[1].scatter(range(len(numerical_values2)), numerical_values2, s=10)\n",
    "axs[2].scatter(range(len(numerical_values3)), numerical_values3, s=10)\n",
    "axs[3].scatter(range(len(numerical_values4)), numerical_values4, s=10)\n",
    "axs[0].set_ylim(800,1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fb2ac7adb40>"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "series = df['PACK1_CRIDATA_SOC'].cast(pl.Float32).fill_null(strategy='mean')\n",
    "plt.scatter(range(len(series)), series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fb2abbdf640>"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# reset df\n",
    "series = df['PACK1_CRIDATA_SOC'].cast(pl.Float32).fill_null(-10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fb2ac59bd30>"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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yqSXRFI+K91+0XuleS2SKsN05jrfapx68mmacLpX1MEt1J5fbvdeifcEsFSSaIso05d/WCxYswOOPP4477rgDI0eOxD333IOHH34YNTU1AIDi4iuRWvJoSXNzc5dRlagnnngCra2tsb/Gxq6bwBHF82rVycNLZppO23UrxZPOPSl+TPGI1kV2arRdn5BJLYmmeFS8/6L1SvdaIlOE7c4xMGw9Ygl4O804HSrrYZbqTi5XleLxG+UByrlz59CjR+Jpe/bsGZtmXFZWhuLiYmza9Odpbp2dnaitrcWkSamX387JyUFeXl7CH/mb6qmrydJd7XGqyZLRZuWpiAypW60gma50R1OsVqF0YwO0dOtp1zbp9im7PuHGKp1mr0VmAUPRepmlUOxSK4cEZqWo6B+iK7DqskmfWWotnVTgN8pTp1aSyxdMH95linU60k19e0V5gHLrrbfixz/+Md544w0cPnwY69evx/Lly/Htb38bwJXUTnV1NRYvXoz169dj7969uO+++9CnTx/cddddqqtDGnNzzYx0h2FFh1ydXjvdmRV2RNsr/ofQqk282mwwFacpjaiJQwukjs/kLB7R5wPi9Up3czuRe7/sziGS4nH7daim8rMr8z012mKERvTaXqS+neil+oQ/+9nP8KMf/Qhz585Fc3MzIpEI7r//fvzDP/xD7JhHH30U58+fx9y5c9HS0oIJEyZg48aNCIW8266avOHWDZijSvphzfauqUC7YdgvR8JoTnEDr8yso1El/fDJia5fmvHXHjMkH1sPne5yTKaGauOH1c3aKvk4r5m1WTKr1xM9j8zxsrN4djacsT3O7H0Wfb5MvdJNd2b3sA9S7M4xMJyLhtPWQYrbr0M1lZ9dme8pq/4vem1d2lCU8rApFArhueeew5EjR3D+/HkcPHgQ//iP/4jevf+8qmdWVhYWLVqE48eP48KFC6itrUV5ebnqqhBJW/3d8SlXWjRb+TMVkfSNm3fviwR9314pNqU/OvyuKpB0ch7RtrEb8v/6iMR73VTO4gnnZgsd99b+1BsUuvFDoXJzO9lz2K1wWlESFl7F1M3XISPdWVFOBXVDQCt6jusQOfQ7kx1qzcrjHayZianXDUBhqDemXjcAB2vkflRFhoBVpJJUsRpij3/MaZDi9PmibWM35J/8uMpZPKJ1NJshs+3QKeFrub3AmUiKJ92UKQCMKe2H9fMm21/E5lp+nsUjcy6r84v2UV3SZKIYoFAg5fcx2dDLpDzZ6u+Ox/aF06RGTqJEFl8SvXs/E6yG2JMfS95cTfQ+IhUjMKJtYzcKkfy4ylk8onU0myEjc7Oi2wucidyTKZIyNbOz4QxG/OhN+4vYXMvPs3hkzmV1fqZ4iHzEzRVh7SyYPjzlRoXxG4BdH0k9E82sXJZdQHBd0Z+H3t1YiMwNVm1TlPfn99VuyD/58bdsRtWSU0JuunTZYvObDBMZQbFLj9mtr3H+4mXhvXi6O798TlVigEKBpHK/jHTULZyGeVOvxcShBZg39VpsXzgt4XG3ZvHEswpS4lMMflmozWq/kPi9kmRn5di1uczwt9MUz6ct4j9COuxhY9c2KhZ7szuuu6R4rPopUzxEPqLDcPCC6cPxyv+ZmHJL9XT3R5EVP1ISLz7F4JeF2qz2C4kfGZPdW8euzWWGv52meGRnizk5TsV7a9c2KhZ7szuuu6R4rPopUzxEpEymZgJseLjSttzN2QGzxwxSdq7GFvN0QU4v8a+y5KHyTKZwovrmOF/hQXSBsnQXOEuezZaKXTrt/MVLtucYX1Zgewyp+W7QZSaUKAYoFEi6DAebyWT9Di+ZieuKvoCrsrNwXdEXuqR+RGfxpEPl67EKUI7GPWZ3zeThcNlZP1ZEUzxmC7LJzOISrVe6w/qXBG6HUbEXD1M8YuUqZvHo0oaiGKBQIOkyHGwm0/Xb8HAlPnz6L1OOqMjM4pGl8vUUfsF8Blb8+iN210weDped9WNFNEVjtmePTIpHtF7pDuuLjKCo2IuHKR6xchWzeHRpQ1EMUIg84MZePF4xuxk3N7sHnr19tLLrzBwVETrOLnWRPFRuN4tHZvi79fxF4WOdEq1XusP6//Fg6r3RVNteb786MKB2DxwnVH52ZdJvKr4bdGlDUQxQKJB0H8o0m5FiNVPFLSpSPMlByuwxg3Dg6RkOatWV1Qys+MDgHZs2lJ3F48ZePCpSPG6nRkRSSJlM8WRi5puIN/cclyq3IpN+UzGLR5c2FMUAhQJJ96FMsxkpVjNV3KIqxRO/eJvKkRORusisbyM7i0d2Lx4nx+k0i0ckhZTJFE+mZr7ZuSq7p1S5FZn0m4pZPLq0oSgGKEQeCJusaGtW7iZdh3fTZbcaa/KsEZWzmET34jFT0Ff9+5/usH5FaT4qSqwDJrt0Wq7Aj/Z3bhxiewxg/j5leo8alQGKTPrN6nWKtoHZjDUvZrKJYIBCgaR7isdshU27lTfd4JeF2qzqEr9Qm93W8cnnkV3YzYrTWTwy18pEasTuR1fFQm2is5F0+Uy3mdxnZFZuRdUsHtE24EJtRBrQPcWj01CrXxZqE03x2KUmks8ju7CbFaezeGSulYnUiNNF7EQWahOdjaTLZ1rHWTyi1+ZCbUTkK0HYxn1QXFrHbnaKbEpLdEE0FU67sBWDm8P6dm192Ob/zB+sHIqKUrGgPN0F51QzW1jO7QXnrPqt6EwoLtRGpAFdhoPNBG0WTyZY1SU+ZSK7UJuK2SxRoimeD5syN4vHybC+0xlOHRarvc0eMwiPzRhhW4coXdITOu7F47fF7kQxQKFA0mU42EwQZ/G4zaou8SkT2YXaVMxmiRJN8RSazDpyYxaPk2F9pzOcrBZ7W7fzKMb9eJNtHaJ0SU/ouBeP3xa7E8UAhcgD1w3Mkyon66H8H91yfey/7VI4ySktlSkC0YXazH5U3ZjF4+awvl3b2S2Xf6K9E89s+FDoWn5LT2SSHxd4FMEAhQJJ96FMs0XHrBYjc4tfUjxWQ/nxj8mmJVTuxSO6UFujSRDlxiweJ58Fu7ZUkV7x2z4yOqZ4/NaGohigUCDpPpSpU/38kuKxGsqPf0w2LaFyLx7RhdrM2rVE4oblTAzr27XlxUuXLR8X2M7Hd/vI6Jji8VsbimKAQoGkyx3/Zszuuhe9G787MhvKn/Kl/gkzQWRnp9ilCOz26oknGsyYzfj47IL4Whq/3dskdJybnwW7dXuWzB5pe45X/qdB6Fpr6xqlyrsT0Zl4un8vJmOAQoGkyx3/ZnQaavVLisesLskrx9q9x7ILtcnsU+I07XIsaSNDK6IzftycxWNHpD1azokFZWbpM9G0mio6pni4UBuRj+hyx78ZnYZa/ZLiEW0z1Qu1ySyeJ9peHZ+nTo3cOPRq4WsNzhf7v2azNIxdegawf+1Triu0fFykPfL7iG0PYJY+E02rqaJjiocLtRH5CO/4F2c160WnoV/R4Wm7lIzsa5JJGYkutGZ2k6zMQm3nOy8JHedkqfsmmxEdu8+TSMrysRnDbY8BgInXpg7ezMqDxiqNI7r4oNlnQyaNmUkMUCiQdEqhpKJT/ax+qHQa+hUdnpadeeLFQm1ZJnePyizU1tQmtm9TyzmTGWMm5fGc7lMk0p8zsaeQSl6leKzOL9oGurShKAYoFEg6pVBS0al+VkPHImmATBEdnpbdP8aLhdpmjRns6PkAMLpELPV0s8kIkFl5PKf7FIn050zsKaSSjnvxiLaBLm0oigEKUTdnNXTsxe7KZlSl7ZKPt0tDyAx/HzzxmdBxKmZrXR9xf1E/uwXAZPc1cnKOBdOHY0AocSG7wlBvLJguliLSkcysGqt2Ep3FY3acrvtxMUChQNIphZKKTvXTpU3siLaZ7EJtKmfxHG8VC+jMrimT4snE4lx213C6V4/IOeLVLZyG2WMG4YsD+mL2mEHYvnCa8HNVUfnZlZlVw714iAJCpxRKKmYLcsks1KWKVZskT+H1kuh7KrtQm8pZPAPDYu1ldk2ZFI/oe+PmQm1O9+oROUe8JW8ewLqdR/HJibNYt/Molrx5QPi5qqj8bpGZYcW9eIgCwmw4VMWQtApmm6hZba7mBZ1unhMdDpcdrjZbNC1KZhbPraMiUtd2olXgJle32bW1yB4xou27q6EFq2oPJZStqj2EXQ369FFZZilU2dSq6PcaF2oj0oDud6s3taWevmlW7iar4V2RmR6ZIjocLjuzROUsHqdpF7lZPGJ9xc0Uj4r0mGj76rLImFdpEhV78ejShqIYoFAg6X63eqXJAldm5W6yGt4VmemRKaKzeGRnlqicxeN0TxSZFI9oX3EzxaMiPSbavrosMqYyTWK20F2qchV78ejShqIYoFAg6X63utkCWHYLY2WaTkO/qmbxyM6gkTn//mNtUud2YuvBU0LHeTmsr/Lzpsviiyrbs6I0Hw9UDk0oe7ByaMLeUlFWbSnazrq0oSgGKBRIut+trlP9rK6p09CvaJupTvHIvCeiKRoVKR7RPWjc3ItHRduJ9jFdPjOq0ySPzxiB9XMnYfnto7B+7iQ8NmNEyuNU7JmlSxuKYoBCgaT73eo61c/qmjot1CbaZqpTPDLviWiKRkWKR3QPGifD+k5TPCJtJ5pe0OUz40aapKI0H7PGDE45chJl9Trz+/Y2fUzkHLp8LyZjgELkAbPZDSKzHjJJp4XaRIfW7Yba3WzjAsEfChXPF/1B/OW2I1LlMuza+vnNn9ieQ3QhPF1m5nmVJrFKTZ5s73D12l5hgEKBpPtQpk6zjHRpEzuiQ+t2Q+3JbawyxZPJofZMXEt2X6NkIgvX+W0fGa++W1TMttP9ezEZAxQKJN2HMnWaZWTVJmazDLwgOrRul5ZKbmOVKZ5MLpiViWvJ7muUTGThOr/tI2OWThFNs6RLxWw73b8XkzFAoUDy24JEutJpG3bRoXW7tJSbM7n2HhW7yfX02dT/x2tW7oTZQnR2C9QB9rPK7NIa/++OCttryCyEpwOzdIrbaRar1CQXaiPyEd0XJNJluBpQs417JqgannZzFs+R02L9y2y2jswsnkykeJy2jcjnTfQzqctnxiyd4vaihlyojSggZPa48IIuw9WAmm3cM0F0eNouLeXmLJ4hBWI3rprN1pGZxZOJFI/TthG5kVf0Zl9dPjNm6RS3FzXkQm1EAaFqj4vu7vnNB72ugjS7tIPsrB+Z4e8ND1cKHXd9JC9ludNZQKrZzXiyaxuRFKFoGtEsFeS3FFG6VKQmuVAbEdnSZbga0PcO/mSqFmqTnfUjO/x9eMlM5OX0BGC++aPZ+xy0WTwi/dlv6QkdZ/E43QNK1+8ABigUSDJ7XHhBl+FqQN87+JOJzp6QTTvYDW/LDn+P+NGbaOu4BAC4ZKQ+xux9DtosHpH+7Lf0hFczYVSkYjmLh0gDug9l6rQXj9UMgKWzR2awJtZ69Ug9HGFWbia5D9j1CZk+88ivduP8Rfv7nMz27PnOjUOEr6XDon4qPk+67I8lymzBNNk9nmRlekE6HTBAoUDSfShTp/pZDQ/r0l4yvNyLR/RYs9k6MumKTAzrO92LR6SOom3W3VM8Kmbx6PS9I4IBCgWS7kOZOtXPanhYl/YCxNN2Xu7FI3qs2WwdmXRFpJ/9ImiAuykeu3OIpB5E26y7p3hUzOLR6XtHBAMUCqQ540qRm53YvXOze2DOuFKPapTo2dtHS5W7acH04Slv5uyZBW3aC7iyodqAUOL9JoWh3l02WJszrrTLcVGp+oDVa5Rtg2dvH92l36Wy+rvjU5aneo2hq3qmPPamL/YXqlOq9igM9RZ6XQumDzd9TOQcVs8HgIqSsHD7VpTmY3RJYmA3uiRsucGeG1K9x7nZPVz/7Fq1pV07RznpC15ggEKBtLauocu9AOcvXsbaugaPapTomQ0fSpW7aW1dQ8qbOS8Z3tTHzNq6BpxoT1wMq7m9s8t7uquhpctxUan6wHdXbze9ZjptcODpGZg9ZhC+OKAvriv6QspjzM6Z6jW2X7iU8tj/ev+YUH1StUdzeyd2NdinBaxeu8g5HvnVbsvHJwy92rYOUbsaWrC7MTE1truxVeh1qBb/Hs8eMwgHnp7h+jWt3gvRPuqkL3iBAQoFku65Vr9MM/bjSrLvfNQsdR671VvTaYNnbx+Ntx6ZYrquiYppxo2CN006uXfD6TRju9ezqvaQ8I+jLvegREXf40yNenIlWUWOHj2K73znO7j66qvRp08fjB49Gjt27Ig9bhgGFi1ahEgkgtzcXEyZMgX79u1zoyrUTemea/XLNGM/riQrex671VudtIHs++zG/S5O7t1wOs1YpI6iP4663IPiFa4kq0BLSwtuuukmZGdn480338T+/fvx7LPPol+/frFjli1bhuXLl2PFihWoq6tDcXExpk2bhvZ2PaaAErlNp2nGVnSaAiq60dnnl00WHzFht3qrk5VKZd/n5zd/Inxukc3+AG+n3ItMmz544jOhc+m+dIDbrPqh6OfUb22oPEBZunQpSkpKsHr1aowfPx7XXHMNbr75Zlx77bUAroyePPfcc1i4cCFmzZqF8vJyvPzyyzh37hzWrFmjujrUTeme4tGpflbX1KW9APHh6RabHYGdrjwrQ/Z9Pt4qvhWD6HvzO5Ol5M3K4zlN8Yi0nd37FaXTZ8YLVm2ZiVWFvaA8QPn1r3+NG264AX/913+NwsJCVFRU4KWXXoo9Xl9fj6amJlRVVcXKcnJyUFlZiS1btqiuDnVTuqd4dKqf1TV1aS9AfHha9TRjJ8Pfsu/zwLDY1GGrcyTL72OyAq9JeTynKR6RtsvEirhBYNWWQW1D5QHKoUOH8MILL2DYsGHYsGEDHnjgAXz/+9/HL37xCwBAU1MTAKCoKHG4qqioKPZYso6ODrS1tSX8EfmZ2SqgOqwOqitVw9PJK3KKpkoyYd7ULyo/Z/9QjlR5PKcpx19uO+Lo+fFEU3xBpWsaxk3KA5TLly9jzJgxWLx4MSoqKnD//ffje9/7Hl544YWE47KyEhdeMAyjS1lUTU0NwuFw7K+kpER1tSlgdB/KrDWZaWJW7ia/pHhUbRaYnLbQKcXjxqq1ZikUkdSK07bZduiU42vYXUvXGSiqqfic6v69mEx5gDJw4EBcf/31CWUjRoxAQ8OVtQeKi4sBoMtoSXNzc5dRlagnnngCra2tsb/GxkbV1aaA0X0oszjPZATFpNxNfknxiL6nsqub6pTi0W2zQKdtExEYEfTbSrJeUfE51f17MZnyAOWmm27CRx99lFD2xz/+EUOGXLmbu6ysDMXFxdi0aVPs8c7OTtTW1mLSpEkpz5mTk4O8vLyEPyIrug8Hh03y/2blJP6eyr7H//peveXjTobWZVN5uvTPKLuUo13bfOGqbGV18dsMFNWsNgsU3UhQ9+/FZMoDlIcffhjbtm3D4sWL8cknn2DNmjV48cUXMW/ePABXUjvV1dVYvHgx1q9fj7179+K+++5Dnz59cNddd6muDnVTug8HHzuTeraGWbmb/JLiEX1P7d7j5BTPkdPOFhuTuZZduUz/zMSwvtPNAkUWkwtqekI1LtSmwLhx47B+/Xq88sorKC8vx9NPP43nnnsOd999d+yYRx99FNXV1Zg7dy5uuOEGHD16FBs3bkQopGcUR/6j+3CwXxZq02noV/Q9tXuPk9t4SIHzxcZEr2VXLtM/MzGs73SzQBVpJLvjdOqjbuJCbYrccsst2LNnDy5cuIADBw7ge9/7XsLjWVlZWLRoEY4fP44LFy6gtrYW5eXlblSFuqm3TNZ4MCsn/YkO8dsN+SfPTPmbyWWWx4sOn4tcy65cJl2hw7C8XdtwVpo6KhZN9FuajHvxUCDptNdNKjrVzy8pHlWzeJzO+pEhm5YQWTwtym7PoXTrEM/utTt9XLQeVsfp1EfdpGLPLCeL9nmBAQoFkk4plFR0qp9fUjyqZvE4nfUjQzYtIbJ4mtt1iGf32p0+LloPq+N06qNuUrFnlpNF+7zAAIUCyWw4VJe9ZfYfS73YoFk5ecfJXjyyRBZPi4r0E191Nl12nxe7ttFtbyk/s0qniX6vOVm0zwsMUCiQdB8O3nesVarcTVbDu7q0F+Bdikc0lSJyLbty0X1pACC7p9jXt5PPgtOF2lRcw+44nfqom6zSOJlYtM8LDFAokHQfDv5yJCxV7iar4V1d2gvwLsXjhJsLtYnOvPByoTbO4lHHKo0T1DZkgELkgYK+qYMCs3I36Tq8m0zVIlOnk/5v8bd7U+8BFjXlukKp88dzc6E20ZkXTtrNrm3s6vDs7aORm239M6PDbCS/40JtRD6i+3CwTvWzGt7Vpb0A8UWm7OqcnEazSqs9WDkUFaXp3ySrw0JtThbnsks5itThwNMzMHvMIBSGUgffoq9Zp8+MF7hQG1FA6D6UqVP9/DKLR3SRKbs6J6fRrNJq/7HzU7HKmdBhoTYni3PZpRxF6/Ds7aPxz/fckHY9rK6lUx91ExdqI6KMkB36d9Nj6/ak9VimiS4yZTdcnZxGs0qrnWjvxDMbPhSsYVduLtQmysniXNdHrPc9k0kNOF080W/pCR1xoTYiDeg+HKzTQm1+Ifqe2g1Xbzt0Sui8UZlcqE2mf+qwF49MasBpn/dbekI1FSke3b8XkzFAoUDSfThYp4Xa/EL0PbUbrk5eP0Snhdpk+qcOe/HIpAac9nm/pSdUU5Hi0f17MRkDFCIPyA79u+nwkpkZv6ab7IarZRfry+RCbX4jkxpwunii39IT5BwDFAok3Ycyda+fjlQt1HbszHmp452kEIKe4lFRXy7UJoYpHqKA0H0oU/f66UjVQm3Jw+FOFyOzEvQUj4r6BnWRMdWY4iEKCN3v+B9fViBV7jazNI9O6R9V72lyGs1u5pSTFIKbC7Xp0JczWQezxchEFykj/b8XkzFAoUDS/Y5/HYdak4MRnYITQN1CbcmPq0xjJHNzobZMLHCmchaP0z7f3We+caE2ooDQ/Y5/XYdaDy+ZGfvTjaqF2pIfV5nGSObmQm2ZWOBM5Swep32+u89840JtRAGh+x3/2+tPS5WTuoXaMrkYnpsLtenQl0UXWVNyrf0mC72ZlFNXun8vJmOAQoGkYwolnu7105GqhdqSh8PdTPEEfRaPTHrF6Ws+cjr1+2pWHjScxUMUELqmUKJ0r5+OVC3Uljwc7maKJ+izeGTSK05f85CC1O+rWXnQcBYPEWWETnvx+IXoDAS74erk9Irswm0yTpvsFG1Wrhu7hQPdbLtkfzO5TKqc/I8BCgWS7kOZ3X1GQjrcmsUje7yMfcdapcp1S/GobBsu1OYMUzxEAaH7UGZ3n5GQDrdm8cgeL+PLkbBUuW4pHpVtw4XanGGKhyggHlu3R6o803Tai8cv3JqBYLfQl5NFrAr69pYqd2PBLCeLc9mlHFUsLCd6Dr8tMqaa1XeDaKrNb23IAIXIA34batWBqr14ZBdqy+RePCoWPhM9p8i1VLaN00XC/LbImGpW73cm+oIXGKAQecBvQ606ULUXj+xCbZnci0fFwmei5xS5lsq2cbpImN8WGVPN6v0W7QsXL12WKvcaAxQKpKWzR0qVZxpn8bhHdrh6/7E2y8czuRePzLVE96Bxc3EuFQvLiZ7Db4uMZZLoAo/JO3nblXuNAQoFku4pFM7ikadqobbk481m1NhdV4Ts+yxzrUzM3FC5iB1n8TijIsXjNwxQKJB0T6FwFo88VQu1JR9vNqPG7roiIv1ypcplrpWJmRt218g3udlXdT1UPN/vVKR4plxXKFXuNQYoFEi6363OWTzyVC3UlpxeuT6S56xiFhpOpR7NMSuXkclF0sz06pHldRW6DavF/URTw35LkzFAoUDS/W717j5cnQ5VC7Vlci+eYyYBp1m5bgu1qUw5MsXjjFUqkgu1EfmI7nf8d/fh6nSoWqgtk3vx3Dj0aqlymWuJplfcTPHIpAaY4nHGKhXJhdqIfET3oczxZQVS5aTuPZXdi8dJWtDNvXhOtnc4Pocdu7bR5fPUHVilInVI97mBAQoFku5DmbrXT0duLdRmd7yTtKCbe/G0nBMLcrgXTzBYpXGC2oYMUCiQdB/K1L1+OnJroTa7452kBd3ci+fmEUVCx5mlgkRSRNyLRx9WaZygtiEDFCIPmC2sJLrgUnekamZW8owHuzZ/68CfpM4f7xvlxVLlbswyM0sFiaSI3NynSNaccaUYXZIY2FWUhDFnXGnG6uClrQdPmT4mumif7rMbkzFAoUDSfShT9/rpyK1ZPLLHy9BhLx6zVJBIikjlXjwq+vzr8yZj6eyRuGt8CZbOHon18yYLP9fvPm42v99HtI/qPrsxGQMUCiTdhzJ1r5+O3JrFI3u8DB324jFLBYmkiFTuxaOqz88ZV4rFs77SbUZOooYVmo9yiPZR3Wc3JmOAQuQB7sUj759+97FQud1wdfIsHrsZNV8XvNdDBZlZMc9v/sTFmlyxYPpwDAiZ36sik/7q7ikap16be5PpY1bpn3i6z25MxgCFAkn3FAr34pEnOiNG9V48Toa/ZfuhTP883iq2wZvTa9UtnIZB/VIHzrL9tTunaFQIXdUzZblV+iee7t+LyRigUCDpnkLhXjzyRGfEqN6Lx8nwt2w/lOmfA8Op9/Nx41q3VQxKWZ5Of91efzr2R3LM0jxW6Z94un8vJmOAQoE0Z1wpcrMTu3dudg9thpMXTB8uVU7A6u+OR8+krV96Zl0pj1dRmm+Zlnj29tFdzmumMNQbFaXpB42y/dDs+FTeffRrwnVwmlpZMH14ynrJ9tcRP3oT63YexScnzmLdzqMY8aM3pZ7f3ZmleazSP/HmjCtN+RnS5XsxGQMUCqS1dQ04f/FyQtn5i5extq7BoxoleuRXu6XK6YqDNTMx9boBKAz1xtTrBuBgzcwux6yta8CJdvP7SpLbePpPa02PbW7vdNRnZPuh2fFLZ49EaUEusnsCpQW5OLyk6+u24jS1squhJWW9djWIp3ge+dXulOdgn5dzeMlMjCnth9BVPTGmtJ9UX3hmw4e4ZCSWXTKulOuol9cVIHLD70xu3vvdgT9p8X8L2w6lvqnNrJz+zGrEA5Bf/fTIaft7VtLtM1Y5/1TntDpedMTEzJxxpWm/jnc+ajYtFx1h8tv9DzoTHTFJ5rd73ziCQoGU38dk9UyT8kyL9Et9/4BZOYmTXf10SIHcPSsq6uLmvSm6CvJr8wu/3fvGAIUCqX8oR6o808w29wrqpl86+5vJZV5XIUbXlT5VBNTP3j465X0syfcEkXtSTRsvDPXW9t43BigUSC0ma1uYlWfasTOpp4ialZM4s/RelNPNBWWoWknW65U+s3um/qkwKzdz4OkZmD1mEL44oC9mjxmEA0/PUFE9klC3cBrmTb0WE4cWYN7Ua7F94TSvq2SK96BQII0q6Yc12xtTlutgzJB8bD3UdZqlrkOtfmKXxku1WWCqvmJ2vAzZfqjrSp8q68URE+/pOmKSjCMoFEi6DpWT++yCvPFlBQn/tusTTvqMbD/UdaVPXetFwcYAhQJJ16HyqFqTWRFm5STOLu2QnF6x6xNO+oxsP9R1pouu9aJgY4BCgaTrUHlUcZ7JXjwm5SROdiVZu+Od9BnZfqjrTBdd60XB5nqAUlNTg6ysLFRXV8fKDMPAokWLEIlEkJubiylTpmDfvn1uV4W6Ed2HpK8bmCdVTuLs3uPk9IqbfUK2HzI1SfRnrgYodXV1ePHFF/GVr3wloXzZsmVYvnw5VqxYgbq6OhQXF2PatGlob9fjx4P8T/chad1nGfmZ3XucnF6RPV5FXfw2i0f3zxMFk2sBymeffYa7774bL730EvLz/3zTmmEYeO6557Bw4ULMmjUL5eXlePnll3Hu3DmsWbPGrepQN6P7kLTu9fMzuzZMTq/IHq+iLn6bxcP+Sl5wLUCZN28eZs6cia9//esJ5fX19WhqakJVVVWsLCcnB5WVldiyZUvKc3V0dKCtrS3hj8jPzHZy5Q6v7ktOr9ilTzKZFvzltiNS5Zmyti71NGyzciIVXAlQXn31VezcuRM1NTVdHmtqagIAFBUVJZQXFRXFHktWU1ODcDgc+yspKVFfaQoU3Yekda+fn8kuvGaXPsnkQm269ouPm1MHaWblRCooD1AaGxvxgx/8AL/85S9x1VXmMxKyshL3fDYMo0tZ1BNPPIHW1tbYX2Mjo3aypvuQtO718zPZvXhkZ/2oqIvf9uIZVph6lMmsnEgF5QHKjh070NzcjLFjx6JXr17o1asXamtr8U//9E/o1atXbOQkebSkubm5y6hKVE5ODvLy8hL+iIhSkZ3xUlGajwcqh7pUGzm67ldz2GSUyaycSAXlAcrNN9+MPXv2YPfu3bG/G264AXfffTd2796NoUOHori4GJs2bYo9p7OzE7W1tZg0aZLq6lA3petQeZTu9fOzdFI2j88YgarrC4WPF5XO+6zjfjUt5y5KlROpoHwvnlAohPLy8oSyvn374uqrr46VV1dXY/HixRg2bBiGDRuGxYsXo0+fPrjrrrtUV4e6Kd334hlV0g+fnOj6Q6pL/fws3ZTNzSOKsHF/15V8M7kXT5TXIybJ8vtk43SKYCS/T7YHtaHuwpPNAh999FGcP38ec+fORUtLCyZMmICNGzciFGI+k9Tgglfdly6L8QVJdi+T3YxNyolUyEjveuedd/Dcc8/F/p2VlYVFixbh+PHjuHDhAmpra7uMuhA58Y7JnjZm5ZnGFI97ZGfxpFvupC5+e59PtndIlROpwPCXyAO6ztYIAtlZPOmWO6mL397n/qEcqXIiFRigUCBF+uVKlWfa+LICqXLyp6CkGi9+flmqnEgFBigUSNk9TXLmJuWZFpShfx2lm+L53YE/SZWL0HVvHVmpbpC1KidSQY9vayLFdN3TJCooQ/86SjfFk9+nt1S5CN37oag+2al/KszKiVRg76JAkt3mPtO4F4970k2fjBmSL1UuQvd+KOrcxdSpHLNyIhUYoFAg6Z5C0b1+fpbu3jpupAX5PhOljwEKBZLuKRTd6+dn6S7U5kY6hu8zUfoYoBB5oDiceiNNs3ISl276JCjpGDccXjJTqpxIBQYoFEi6D63vPNIiVU7iuFCbO5KDEQYn5DYGKBRIug+tu3FDJl3Bhdrcc3jJzNgfkdsYoBB5oKn1glQ5EVF3wwCFAkn3oXXd6+dnTPEQBQMDFAok3YfWda+fnzHFQxQMDFAokHTfA4WzeNyT7nvccPqcVDkRuYsBCgWS7nugcBaPe9JdqM2N94QpHqL0MUChQNJ9DxTO4nFPugu1ufGeMMVDlD4GKBRIXHSr+0r3PS4t6CNVLmLOuFKMLgknlFWUhDFnXGna5yTqLhigUCDpPrTOFI97dJrFAwCvz5uMpbNH4q7xJVg6eyTWz5vs6HxE3QUDFAok3YfWmeJxj06zeKLmjCvF4llf4cgJkQQGKBRIus/i4UJt7rF7j3XpA0RkjQEKBZLus3h0T0H5md17bPY43xMivTBAoUDSfRaP7ikoP7t46bLl42Z9gO8JkV4YoFAgVZTm44HKoQllD1YORUWpHvd4jC8rkConccfOnPe6CkSkQC+vK0DklsdnjMD0Lxej/uRZlPXvq01wAlinE3gjpbvqT55N2Rf4nhDphSMoFGgVpfmYNWawVsEJwHSCm6ZcV2j5OFM8RP7AAIXIA7rPMvIzq4XarNJ8//pevVQ5EbmLAQqRB3SfZeRnZqmaqusL8diMEabPO3I6ddublRORuxigEHlA91lGfmaWkrl5RJHl84YUpG57s3IichcDFCIPcK8g/ZQPCkuVE5G7GKAQeYCLgrkn3bble0KkFwYoRB7gjBH3pNu2fE+I9MIAhcgDDafPSZWTuDnjSjG6JDEtU1EStl3L5NnbRyM3O/ErMTe7B569fbTqKhKRAC7URuSBnUdapMpJzuvzJmNtXQPebzyDUSX9hBdaO/D0DDzyq92x5zE4IfIOAxTSxjWPv9Gl7PCSmR7UxH1jhuRj66HTKctJjTnjStNaAZZBCZEemOIhLaQKTqzK/W7B9OEYEOqdUFYY6o0F04d7VCMiIr1kGYZheF0JWW1tbQiHw2htbUVeXp7X1SGHRIKQoI6kPLPhQ+w80oIxQ/IZnBBR4Mn8fjPFQ+QhBiVERKkxxUNERETaYYBCnrNL3wQ1vUNEROYYoJAWzIIQBidERN0T70EhbTAYISKiKI6gEBERkXYYoBAREZF2GKAQERGRdhigEBERkXYYoBAREZF2GKAQERGRdhigEBERkXYYoBAREZF2GKAQERGRdpQHKDU1NRg3bhxCoRAKCwtx22234aOPPko4xjAMLFq0CJFIBLm5uZgyZQr27dunuipERETkU8oDlNraWsybNw/btm3Dpk2b8Pnnn6Oqqgpnz56NHbNs2TIsX74cK1asQF1dHYqLizFt2jS0t7errg4RERH5UJZhGIabFzhx4gQKCwtRW1uLr371qzAMA5FIBNXV1XjssccAAB0dHSgqKsLSpUtx//33256zra0N4XAYra2tyMvLc7P6REREpIjM77fr96C0trYCAAoKCgAA9fX1aGpqQlVVVeyYnJwcVFZWYsuWLSnP0dHRgba2toQ/IiIiCi5XAxTDMPDDH/4QkydPRnl5OQCgqakJAFBUVJRwbFFRUeyxZDU1NQiHw7G/kpISN6tNREREHnM1QJk/fz4++OADvPLKK10ey8rKSvi3YRhdyqKeeOIJtLa2xv4aGxtdqS8RERHpoZdbJ37ooYfw61//Gu+++y4GDx4cKy8uLgZwZSRl4MCBsfLm5uYuoypROTk5yMnJcauqREREpBnlIyiGYWD+/Pl47bXX8Pbbb6OsrCzh8bKyMhQXF2PTpk2xss7OTtTW1mLSpEmqq0NEREQ+pHwEZd68eVizZg3+8z//E6FQKHZfSTgcRm5uLrKyslBdXY3Fixdj2LBhGDZsGBYvXow+ffrgrrvuUl0dIiIi8iHlAcoLL7wAAJgyZUpC+erVq3HfffcBAB599FGcP38ec+fORUtLCyZMmICNGzciFAqprg4RERH5kOvroLiB66AQERH5j1broBARERHJYoBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2mGAQkRERNphgEJERETaYYBCRERE2vE0QFm5ciXKyspw1VVXYezYsfj973/vZXWIiAJtbV0D/u9rH2BtXYPXVSGy1curC69duxbV1dVYuXIlbrrpJvzzP/8zZsyYgf3796O0tNSralGGXPP4G13K1s+dhPqTZ3Hx0mVk9+yBsv59UVGar/za039aiyOnz+LCRaPLY4eXzFR+PSd2NbSg/uTZLm0RXw4A9SfP4r/eP4bG0+cwqqQfnr19tONrOJHq/dWtbd2yq6EF3165pUv5dUVfwIaHKz2pT/3Js3jhnU/wcfNZAMCa7Y14ZXsDXp832fb5a+sa8H7jGYwq6Yc549L7bpbtY89s+BDPbz5oe1wm+pSK1y8jvq1S9aOo7vB5yjIMo+u3dAZMmDABY8aMwQsvvBArGzFiBG677TbU1NRYPretrQ3hcBitra3Iy8tzu6qkWKofLzMPVA7F4zNGZPTaunzwl7x5AKtqD8X+HW2L5PJUcrN74MDTM9K+hhNWbaxL27pF5L3JZBvY1Wfp7JGWP7q3Pf8edje2xv49uiQsFNRY1cGuj4378SacaO8UPr+b7ani9csQ6T/x/Ph5kvn99iTF09nZiR07dqCqqiqhvKqqClu2dI0YOzo60NbWlvBH/iQTnADAqtpD2NXQouTa039aK3ScbB3dsKuhpcsX1araQ1hb1yD0BXb+4mU88qvdaV3DSXvbtZ0ObeuWVO2Zimg/dEqkPut2fGr62Nq6hoQfZwDY3dgqlR6S7WPPbPhQKjgB3OtTKl6/DNH+Ey/InyfAowDl5MmTuHTpEoqKihLKi4qK0NTU1OX4mpoahMPh2F9JSUmmqkoaqD95Vsl5jpxWc55MMHvN7zeeET6H3bFm11DV3t2NaLtlqh+K1Kfx9DnTx8z6j0wflO1jO4+o+Z8RFVS8fhn83HXl6U2yWVlZCf82DKNLGQA88cQTaG1tjf01NjZmqoqkgeh9Fk4NKVBznkwwe82jSvoJn8PuWLNrqGrv7ka03TLVD0Xqk9u7p+ljZv1Hpg/K9rExQ9Tfc5YuFa9fBj93XXkSoPTv3x89e/bsMlrS3NzcZVQFAHJycpCXl5fwR/4kmzN9sHKoshs3RW9Q1CGvW1GajwcqhyaUPVg5FHPGlXYpTyU3u4ftjbJm13DS3nZtp0PbuiVVe6aSqRtlReozY+RA08fmjCvF6JJw4jlLwlI3isr2sQXTh2NAqLfw+QH3+pSK1y9DtP/EC/LnCfD4JtmxY8di5cqVsbLrr78e3/rWt3iTbDfAWTxiOIvHf3SdxfPUf+3DmfOfx8oLQ72xfeE02+dzFg9n8agk8/vtWYCydu1a3HPPPVi1ahUmTpyIF198ES+99BL27duHIUOGWD6XAQoRkbxnNnyInUdaMGZIPhZMH+51dagbkvn99mwdlDlz5uDUqVN46qmncPz4cZSXl+M3v/mNbXBCRETpYVBCfuLZCIoTHEEhIiLyH+3XQSEiIiKywgCFiIiItMMAhYiIiLTDAIWIiIi0wwCFiIiItMMAhYiIiLTDAIWIiIi0wwCFiIiItMMAhYiIiLTDAIWIiIi0wwCFiIiItMMAhYiIiLTDAIWIiIi0wwCFiIiItMMAhYiIiLTDAIWIiIi0wwCFiIiItMMAhYiIiLTDAIWIiIi0wwCFiIiItNPL6wro5prH3/C6Ct3W4SUzAbj3HkTPT5mzq6EF9SfPoqx/X1SU5ntdHSLykSzDMAyvKyGrra0N4XAYra2tyMvLU3ZeBifBxyAlc5a8eQCrag/F/v1A5VA8PmOEhzUiIq/J/H4zxfO/GJx0D3yfM2NXQ0tCcAIAq2oPYVdDi0c1IiK/YYBCRMrVnzwrVU5ElIwBChEpV9a/r1Q5EVEyBij/i/cmdA98nzOjojQfD1QOTSh7sHIob5QlImG8STYJ71HwDmfxBA9n8RBRPJnfbwYoRERElBGcxUNERES+xgCFiIiItMMAhYiIiLTDAIWIiIi0wwCFiIiItMMAhYiIiLTDAIWIiIi0wwCFiIiItMMAhYiIiLTDAIWIiIi0wwCFiIiItNPL6wqkI7p9UFtbm8c1ISIiIlHR322RbQB9GaC0t7cDAEpKSjyuCREREclqb29HOBy2PMaXuxlfvnwZx44dQygUQlZWltJzt7W1oaSkBI2Njdwp2QG2oxpsR3XYlmqwHdXoru1oGAba29sRiUTQo4f1XSa+HEHp0aMHBg8e7Oo18vLyulWncQvbUQ22ozpsSzXYjmp0x3a0GzmJ4k2yREREpB0GKERERKQdBihJcnJy8OSTTyInJ8frqvga21ENtqM6bEs12I5qsB3t+fImWSIiIgo2jqAQERGRdhigEBERkXYYoBAREZF2GKAQERGRdhigxFm5ciXKyspw1VVXYezYsfj973/vdZUyZtGiRcjKykr4Ky4ujj1uGAYWLVqESCSC3NxcTJkyBfv27Us4R0dHBx566CH0798fffv2xTe/+U18+umnCce0tLTgnnvuQTgcRjgcxj333IMzZ84kHNPQ0IBbb70Vffv2Rf/+/fH9738fnZ2drr12J959913ceuutiEQiyMrKwuuvv57wuG7ttmfPHlRWViI3NxeDBg3CU089JbQnRibYteV9993XpY/eeOONCcd097asqanBuHHjEAqFUFhYiNtuuw0fffRRwjHsk2JE2pJ90mUGGYZhGK+++qqRnZ1tvPTSS8b+/fuNH/zgB0bfvn2NI0eOeF21jHjyySeNL3/5y8bx48djf83NzbHHlyxZYoRCIWPdunXGnj17jDlz5hgDBw402traYsc88MADxqBBg4xNmzYZO3fuNKZOnWqMGjXK+Pzzz2PHfOMb3zDKy8uNLVu2GFu2bDHKy8uNW265Jfb4559/bpSXlxtTp041du7caWzatMmIRCLG/PnzM9MQkn7zm98YCxcuNNatW2cAMNavX5/wuE7t1traahQVFRl33HGHsWfPHmPdunVGKBQyfvKTn7jXQBLs2vLee+81vvGNbyT00VOnTiUc093bcvr06cbq1auNvXv3Grt37zZmzpxplJaWGp999lnsGPZJMSJtyT7pLgYo/2v8+PHGAw88kFA2fPhw4/HHH/eoRpn15JNPGqNGjUr52OXLl43i4mJjyZIlsbILFy4Y4XDYWLVqlWEYhnHmzBkjOzvbePXVV2PHHD161OjRo4fx29/+1jAMw9i/f78BwNi2bVvsmK1btxoAjA8//NAwjCs/Uj169DCOHj0aO+aVV14xcnJyjNbWVmWv1w3JP6q6tdvKlSuNcDhsXLhwIXZMTU2NEYlEjMuXLytsCefMApRvfetbps9hW3bV3NxsADBqa2sNw2CfdCK5LQ2DfdJtTPEA6OzsxI4dO1BVVZVQXlVVhS1btnhUq8z7+OOPEYlEUFZWhjvuuAOHDh0CANTX16OpqSmhfXJyclBZWRlrnx07duDixYsJx0QiEZSXl8eO2bp1K8LhMCZMmBA75sYbb0Q4HE44pry8HJFIJHbM9OnT0dHRgR07drj34l2gW7tt3boVlZWVCQtDTZ8+HceOHcPhw4fVN4AL3nnnHRQWFuJLX/oSvve976G5uTn2GNuyq9bWVgBAQUEBAPZJJ5LbMop90j0MUACcPHkSly5dQlFRUUJ5UVERmpqaPKpVZk2YMAG/+MUvsGHDBrz00ktoamrCpEmTcOrUqVgbWLVPU1MTevfujfz8fMtjCgsLu1y7sLAw4Zjk6+Tn56N3796+ey90a7dUx0T/7Ye2nTFjBv793/8db7/9Np599lnU1dXha1/7Gjo6OgCwLZMZhoEf/vCHmDx5MsrLywGwT6YrVVsC7JNu8+Vuxm7JyspK+LdhGF3KgmrGjBmx/x45ciQmTpyIa6+9Fi+//HLspq902if5mFTHp3OMn+jUbqnqYvZc3cyZMyf23+Xl5bjhhhswZMgQvPHGG5g1a5bp87prW86fPx8ffPAB3nvvvS6PsU/KMWtL9kl3cQQFQP/+/dGzZ88uUWZzc3OXiLS76Nu3L0aOHImPP/44NpvHqn2Ki4vR2dmJlpYWy2P+9Kc/dbnWiRMnEo5Jvk5LSwsuXrzou/dCt3ZLdUx0ONpvbQsAAwcOxJAhQ/Dxxx8DYFvGe+ihh/DrX/8amzdvxuDBg2Pl7JPyzNoyFfZJtRigAOjduzfGjh2LTZs2JZRv2rQJkyZN8qhW3uro6MCBAwcwcOBAlJWVobi4OKF9Ojs7UVtbG2ufsWPHIjs7O+GY48ePY+/evbFjJk6ciNbWVmzfvj12zP/8z/+gtbU14Zi9e/fi+PHjsWM2btyInJwcjB071tXXrJpu7TZx4kS8++67CVMTN27ciEgkgmuuuUZ9A7js1KlTaGxsxMCBAwGwLYEr/8c8f/58vPbaa3j77bdRVlaW8Dj7pDi7tkyFfVKxDN2Mq73oNON/+Zd/Mfbv329UV1cbffv2NQ4fPux11TLikUceMd555x3j0KFDxrZt24xbbrnFCIVCsde/ZMkSIxwOG6+99pqxZ88e484770w5NXHw4MHGW2+9ZezcudP42te+lnI63Ve+8hVj69atxtatW42RI0emnE538803Gzt37jTeeustY/DgwdpOM25vbzd27dpl7Nq1ywBgLF++3Ni1a1dserpO7XbmzBmjqKjIuPPOO409e/YYr732mpGXl6fNNESrtmxvbzceeeQRY8uWLUZ9fb2xefNmY+LEicagQYPYlnEefPBBIxwOG++8807C1Ndz587FjmGfFGPXluyT7mOAEuf55583hgwZYvTu3dsYM2ZMwnSyoIuuhZCdnW1EIhFj1qxZxr59+2KPX7582XjyySeN4uJiIycnx/jqV79q7NmzJ+Ec58+fN+bPn28UFBQYubm5xi233GI0NDQkHHPq1Cnj7rvvNkKhkBEKhYy7777baGlpSTjmyJEjxsyZM43c3FyjoKDAmD9/fsLUOZ1s3rzZANDl79577zUMQ792++CDD4y/+Iu/MHJycozi4mJj0aJF2kxBtGrLc+fOGVVVVcaAAQOM7Oxso7S01Lj33nu7tFN3b8tU7QfAWL16dewY9kkxdm3JPum+LMPw8zJzREREFES8B4WIiIi0wwCFiIiItMMAhYiIiLTDAIWIiIi0wwCFiIiItMMAhYiIiLTDAIWIiIi0wwCFiIiItMMAhYiIiLTDAIWIiIi0wwCFiIiItMMAhYiIiLTz/wFrwBH1k8HIugAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# start = 50000\n",
    "# end = start + 10000\n",
    "start = 0\n",
    "end = len(df)\n",
    "window = series[start:end]\n",
    "plt.scatter(range(len(window)), window, s=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fb2abf70a60>"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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A9BXL9zd7uyDEbVf57Ot9UWYLAM4hfCDEbSWnfb2vTH3PAJAKCB8IcdsOt9Hel1tKjAEgWQgfCOOWHW6j7WK7+n8m6OEMXmALAKmA8IEwbln3Ee39DBnM/xIA4DT+pUWYvna4zSTsYgsAyUP4QBg37HDLLrYAkFyED/SS6TvcsostACQX4QO9ZHrJbaa/PwBIdYQP9JLpJbeR3gfltQBgD+EDEWVqyW20EtvKCO8XAOAMwgciytSS20x9XwCQTggfiChTS24psQWA5CN8IKJMLLmlxBYAUgPhA1FlWsktJbYAkBoIH4gq00pSM+39AEC6Inwgqkglt+lckkqJLQCkhqxkdwCpraaqVLPG+dVy7LiKR2an7Rc1JbYAkDqY+cAllRXlqXhktlqOHU/bxaaU2AJA6mDmA5e0atfBsFmDBRVjVVNVmsQexY4SWwBIHcx8oE+RTlek25VOKbEFgNRC+ECfMuF0BSW2AJBaCB/oUyaUp2bCewCATEL4QJ8yYYdbSmwBILUQPnBJ6bzDLSW2AJB6qHbBJfW17sPm7EFja6dePdSh9sCpUNvHn3YreOqMcodl6YrLvL0e88+PU6PvAIDPED5wSamwZuLict+BYr0HACQPp12Q8qKdOgEApCfCBy4p2eW2TrxOOpUKA0CmIXzgkpJ92sWJ1+G0CwAkD+EDl5TscttEvw5ltgCQXCw4Rb/MGuePeJn1WeP8jn6RR1vvcdu1V+qKy7yXrHa5kN83TNOvGUXwAIAkI3ygX5JVbhvtdb9+fYHmTBrj2OsCAJzDaRf0S7LWfbAbLQBkHsIH+iXSug+n106wGy0AZCZOu6DfaqpKNWucXy3Hjqt4ZLbjAYDdaAEgMxE+EJOewNETDJwMIMku8QUAOIPwgZhcfJnzBRVjVVNV6shrsRstAGQm1nyg3yKVvTq1uy270QJA5iJ8oN9sXmY92Zd0BwA4h/CBfou21iJaOexAUGILAJmL8IF+KyvK011lBb3adzQeTeipF0psASCzET4Qk1uilLkm8nQIJbYAkNkIH4iJjfJXSmwBILMRPhATGzvclhXlaWKhL6xtYqGPUy4AkCEIH4jZrAjlroksuW1s7VRTWyCsrakt4EhJLwDAPsIHYuZ0GSxltgCQ2QgfiJnTJbeU2QJAZiN8IGZOltxSZgsAmY/wgbg4VXL75MvvR2ynzBYAMgfhA3Fxohy2sbVTL/+DUy4AkOkIH4iLEyW30WY9br32Sk65AEAGIXwgboksue1r1uPBW0tifj4AQOoifCBuiSyJjfYYZj0AIPMQPhC3RK77iFZey6wHAGQewgfiFmndxwMVY2OeqaC8FgDcJSvZHUB6q6kq1axxfrUcO67ikdlxhQV2sQUAdyF8YMB6AkdPiIg1gLCLLQC4C+EDA7Zq10FtbDgc+nlBxVjVVJX2+/GRynPjOX0DAEgPA1rzUVdXJ4/Ho+rq6lCbMUYrV65UQUGBhg8frunTp6u5uXmg/USKamztDAseUmzltpEeL0mVEcp4AQCZIe7wsXfvXm3atEnXX399WPuaNWu0du1arV+/Xnv37pXf79fMmTPV1dU14M4i9Qy03JYdbAHAfeIKH59++qnmzZunp59+Wnl5n02NG2O0bt06LV++XHPmzNH48eO1ZcsWnThxQlu3bk1Yp5E6BrrDLTvYAoD7xBU+Fi1apNmzZ+u2224La29paVF7e7sqKytDbV6vVxUVFdqzZ0/E5+ru7lYwGAy7IX0MZIdbSmwBwJ1iDh/btm3T/v37VVdX1+u+9vbzCwfz8/PD2vPz80P3Xayurk4+ny90KywsjLVLSLJ4d7ilxBYA3Cmm8NHW1qYlS5bo2Wef1bBhw6Ie5/F4wn42xvRq67Fs2TIFAoHQra2tLZYuIQXEWypLiS0AuFNM4WPfvn3q6OjQ5MmTlZWVpaysLDU0NOiJJ55QVlZWaMbj4lmOjo6OXrMhPbxer3Jzc8NuSC/x7nBLiS0AuFNM4WPGjBk6cOCAmpqaQrcpU6Zo3rx5ampq0tixY+X3+1VfXx96zOnTp9XQ0KDy8vKEdx6pI9YdbimxBQD3iukiYzk5ORo/fnxYW3Z2tq644opQe3V1tWpra1VSUqKSkhLV1tZqxIgRmjt3buJ6jZTTV8lspJmMWI8HAGSOhF/hdOnSpTp58qQWLlyozs5OTZ06Vbt371ZOTk6iXwopJNb1G5TYAoB7eYwxJtmduFAwGJTP51MgEGD9R5q5+DLrD1SM1cMRLrPe2Nqpu57qXXo9p6xAa+8uc7SPAABnxPL9PaDLqwN9iZZqKbEFAHcjfCAhYtnjhRJbAHA3wgcSIpY9WiixBQB3I3wgIfo7m0GJLQCA8IGEiHShsUh7tLCLLQCA8IGEqakqDdtkbnvjUa3adTDsGNZ7AAAIH0iYSLvU9nWVUwCAOxE+kDD9OaXCaRcAAOEDCdOfUyqcdgEAED6QMP3Z3ZYyWwAA4QMJ1dfutpTZAgAkwgcSrK81Haz3AABIDuxqC3eLdRfbvh4DAMhMzHwgocqK8sKu9dFjR+PRXmW4UuQLkQEAMhvhAwl3Swy707KTLQC4D+EDCRfLaRROuQCA+xA+kHCRSm4nFvp6HUeJLQC4EwtO4YiaqlLNGudXy7Hj+u/Zc3r4+QO9jqHEFgDciZkPOKasKE/FI7P197ZPIt5PiS0AuBMzH3DMql0HI15UrAfrPQDAnZj5gCOiXc20ByW2AOBehA844lKnVCixBQD3InzAEZc6pcIpFwBwL8IHHBFth1uJElsAcDvCBxwTaYdbiRJbAHA7wgccwy62AIBICB9wTLR1Haz3AAB3I3zAMZHWfbDeAwDARcbgqAsvs148MpvgAQAgfMB5ZUV5hA4AQAinXQAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVTGFj7q6Ot14443KycnRqFGjdOedd+rQoUNhxxhjtHLlShUUFGj48OGaPn26mpubE9ppAACQvmIKHw0NDVq0aJHefPNN1dfX68yZM6qsrNTx48dDx6xZs0Zr167V+vXrtXfvXvn9fs2cOVNdXV0J7zwAAEg/HmOMiffB//nPfzRq1Cg1NDToq1/9qowxKigoUHV1tR5++GFJUnd3t/Lz87V69WrNnz//ks8ZDAbl8/kUCASUm5sbb9cAAIBFsXx/D2jNRyAQkCRdfvnlkqSWlha1t7ersrIydIzX61VFRYX27NkT8Tm6u7sVDAbDbgAAIHPFHT6MMXrooYd08803a/z48ZKk9vZ2SVJ+fn7Ysfn5+aH7LlZXVyefzxe6FRYWxtslAACQBuIOH4sXL9bbb7+t3//+973u83g8YT8bY3q19Vi2bJkCgUDo1tbWFm+XAABAGsiK50EPPvigdu7cqddee01jxowJtfv9fknnZ0BGjx4dau/o6Og1G9LD6/XK6/XG0w0AAJCGYpr5MMZo8eLF2r59u15++WUVFxeH3V9cXCy/36/6+vpQ2+nTp9XQ0KDy8vLE9BgAAKS1mGY+Fi1apK1bt+qPf/yjcnJyQus4fD6fhg8fLo/Ho+rqatXW1qqkpEQlJSWqra3ViBEjNHfuXEfeAAAASC8xhY8NGzZIkqZPnx7WvnnzZn3/+9+XJC1dulQnT57UwoUL1dnZqalTp2r37t3KyclJSIcBAEB6G9B1PpzAdT4AAEg/1q7zAQAAECvCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKxyLHw89dRTKi4u1rBhwzR58mS9/vrrTr0UAABII46Ej+eee07V1dVavny5Ghsbdcstt6iqqkqtra1OvBwAAEgjHmOMSfSTTp06VZMmTdKGDRtCbaWlpbrzzjtVV1fX52ODwaB8Pp8CgYByc3MT3TUAAOCAWL6/Ez7zcfr0ae3bt0+VlZVh7ZWVldqzZ0+v47u7uxUMBsNuAAAgcyU8fBw7dkxnz55Vfn5+WHt+fr7a29t7HV9XVyefzxe6FRYWJrpLAAAghTi24NTj8YT9bIzp1SZJy5YtUyAQCN3a2tqc6hIAAEgBWYl+wpEjR2rw4MG9Zjk6Ojp6zYZIktfrldfrTXQ3AABAikr4zMfQoUM1efJk1dfXh7XX19ervLw80S8HAADSTMJnPiTpoYce0ve+9z1NmTJF06ZN06ZNm9Ta2qoFCxY48XIAACCNOBI+7r77bn388cd69NFH9dFHH2n8+PF64YUXdNVVVznxcgAAII04cp2PgeA6HwAApJ+kXucDAACgL4QPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVVnJ7oBNja2devVQh9oDp0JtH3/areCpM8odlqUrLvNGfFx/jrnUcX7fME2/ZpTKivIS82YAAEhTrgkfq3Yd1MaGw0ntw+MvfaAFFWNVU1Wa1H4AAJBMrjjt0tjamfTg0WNjw2E1tnYmuxsAACSNK8JHy7Hjye5CmFTrDwAANrkifBSPzE52F8KkWn8AALDJFeGjrChPCyrGJrsbkqQHKsay6BQA4GquWXBaU1WqWeP8VLsAAJBkrgkf0vkZEL78AQBILlecdgEAAKmD8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrUm5vF2OMJCkYDCa5JwAAoL96vrd7vsf7knLho6urS5JUWFiY5J4AAIBYdXV1yefz9XmMx/Qnolh07tw5HT16VDk5OfJ4PAl97mAwqMLCQrW1tSk3Nzehz43PMM72MNZ2MM52MM72ODHWxhh1dXWpoKBAgwb1vaoj5WY+Bg0apDFjxjj6Grm5ufxiW8A428NY28E428E425Posb7UjEcPFpwCAACrCB8AAMAqV4UPr9erFStWyOv1JrsrGY1xtoextoNxtoNxtifZY51yC04BAEBmc9XMBwAASD7CBwAAsIrwAQAArCJ8AAAAq1wTPp566ikVFxdr2LBhmjx5sl5//fVkdyntvPbaa7rjjjtUUFAgj8ejP/zhD2H3G2O0cuVKFRQUaPjw4Zo+fbqam5vDjunu7taDDz6okSNHKjs7W9/4xjf0r3/9y+K7SG11dXW68cYblZOTo1GjRunOO+/UoUOHwo5hnBNjw4YNuv7660MXWZo2bZp27doVup9xdkZdXZ08Ho+qq6tDbYx1YqxcuVIejyfs5vf7Q/en1DgbF9i2bZsZMmSIefrpp827775rlixZYrKzs82RI0eS3bW08sILL5jly5eb559/3kgyO3bsCLt/1apVJicnxzz//PPmwIED5u677zajR482wWAwdMyCBQvM5z//eVNfX2/2799vvva1r5kbbrjBnDlzxvK7SU2zZs0ymzdvNu+8845pamoys2fPNkVFRebTTz8NHcM4J8bOnTvNn/70J3Po0CFz6NAh88gjj5ghQ4aYd955xxjDODvhrbfeMldffbW5/vrrzZIlS0LtjHVirFixwowbN8589NFHoVtHR0fo/lQaZ1eEjy9/+ctmwYIFYW3XXnutqampSVKP0t/F4ePcuXPG7/ebVatWhdpOnTplfD6f2bhxozHGmE8++cQMGTLEbNu2LXTMhx9+aAYNGmT+/Oc/W+t7Ouno6DCSTENDgzGGcXZaXl6e+e1vf8s4O6Crq8uUlJSY+vp6U1FREQofjHXirFixwtxwww0R70u1cc740y6nT5/Wvn37VFlZGdZeWVmpPXv2JKlXmaelpUXt7e1h4+z1elVRUREa53379um///1v2DEFBQUaP348n0UUgUBAknT55ZdLYpydcvbsWW3btk3Hjx/XtGnTGGcHLFq0SLNnz9Ztt90W1s5YJ9b777+vgoICFRcX65577tHhw4clpd44p9zGcol27NgxnT17Vvn5+WHt+fn5am9vT1KvMk/PWEYa5yNHjoSOGTp0qPLy8nodw2fRmzFGDz30kG6++WaNHz9eEuOcaAcOHNC0adN06tQpXXbZZdqxY4euu+660D+0jHNibNu2Tfv379fevXt73cfvdOJMnTpVzzzzjL70pS/p3//+t/73f/9X5eXlam5uTrlxzvjw0cPj8YT9bIzp1YaBi2ec+SwiW7x4sd5++2298cYbve5jnBPjmmuuUVNTkz755BM9//zzuu+++9TQ0BC6n3EeuLa2Ni1ZskS7d+/WsGHDoh7HWA9cVVVV6L8nTJigadOm6Qtf+IK2bNmir3zlK5JSZ5wz/rTLyJEjNXjw4F6praOjo1cCRPx6VlT3Nc5+v1+nT59WZ2dn1GNw3oMPPqidO3fqlVde0ZgxY0LtjHNiDR06VF/84hc1ZcoU1dXV6YYbbtDjjz/OOCfQvn371NHRocmTJysrK0tZWVlqaGjQE088oaysrNBYMdaJl52drQkTJuj9999Pud/pjA8fQ4cO1eTJk1VfXx/WXl9fr/Ly8iT1KvMUFxfL7/eHjfPp06fV0NAQGufJkydryJAhYcd89NFHeuedd/gs/p8xRosXL9b27dv18ssvq7i4OOx+xtlZxhh1d3czzgk0Y8YMHThwQE1NTaHblClTNG/ePDU1NWns2LGMtUO6u7t18OBBjR49OvV+pxO6fDVF9ZTa/u53vzPvvvuuqa6uNtnZ2eaf//xnsruWVrq6ukxjY6NpbGw0kszatWtNY2NjqGR51apVxufzme3bt5sDBw6Ye++9N2IZ15gxY8xf/vIXs3//fnPrrbdSLneBBx54wPh8PvPqq6+GlcudOHEidAzjnBjLli0zr732mmlpaTFvv/22eeSRR8ygQYPM7t27jTGMs5MurHYxhrFOlB//+Mfm1VdfNYcPHzZvvvmmuf32201OTk7ouy6VxtkV4cMYY37zm9+Yq666ygwdOtRMmjQpVLqI/nvllVeMpF63++67zxhzvpRrxYoVxu/3G6/Xa7761a+aAwcOhD3HyZMnzeLFi83ll19uhg8fbm6//XbT2tqahHeTmiKNrySzefPm0DGMc2Lcf//9oX8TrrzySjNjxoxQ8DCGcXbSxeGDsU6Mnut2DBkyxBQUFJg5c+aY5ubm0P2pNM4eY4xJ7FwKAABAdBm/5gMAAKQWwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACr/g/b+n4yD0iAPgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = 70400\n",
    "end = start + 500\n",
    "window = series[start:end]\n",
    "plt.scatter(range(len(window)), window, s=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Good news is that the data makes sense. It discharges in about 40 minutes, then charges back up in the same amount of time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fb2abe4d300>"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = 50000\n",
    "end = start + 10000\n",
    "window = series[start:end]\n",
    "plt.scatter(range(len(window)), window, s=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## strategy\n",
    "\n",
    "We are going to identify periods of discharge/charge, then try to interpolate missing data in those intervals\n",
    "\n",
    "Large periods of missing data usually correspond to idle times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "window_size = 10\n",
    "# moving_avg = (df['PACK1_CRIDATA_SOC'].cast(pl.Float32)\n",
    "#                                      .fill_null(-10)\n",
    "#                                      .rolling_mean(window_size=window_size)\n",
    "#                                      .fill_null(-10))\n",
    "moving_avg = df['PACK1_CRIDATA_SOC'].cast(pl.Float32).fill_null(-10)\n",
    "\n",
    "# moving_std = (df['PACK1_CRIDATA_SOC'].cast(pl.Float32)\n",
    "#                                     .fill_null(-10)\n",
    "#                                     .rolling_std(window_size=window_size)\n",
    "#                                     .fill_null(10))\n",
    "\n",
    "downward_segments = []\n",
    "threshold_long = 10\n",
    "threshold_short = 0.1\n",
    "# smoothness = 3.0\n",
    "segment_start = None\n",
    "\n",
    "\n",
    "for i in range(len(df)):\n",
    "    if ((moving_avg[i] - moving_avg[i - 1] > threshold_short) and \n",
    "        (moving_avg[i] - moving_avg[i - 1] < threshold_long)):\n",
    "        # activate flag upon first contact\n",
    "        if segment_start is None:\n",
    "            segment_start = i - window_size + 1\n",
    "    # at end of downward movement, reset flag\n",
    "    elif segment_start is not None:\n",
    "        segment_end = i\n",
    "        downward_segments.append((segment_start, segment_end))\n",
    "        segment_start = None\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# reset df\n",
    "series = df['PACK1_CRIDATA_SOC'].cast(pl.Float32).fill_null(-10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {},
   "outputs": [],
   "source": [
    "time = range(len(df))\n",
    "for start, end in downward_segments:\n",
    "    plt.fill_betweenx(series, start, end, color='green', alpha=0.3)\n",
    "plt.xlim(0, len(df))\n",
    "plt.scatter(range(len(series)), series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f6dbf4bc970>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start_time = 70000 + 400; end_time = start_time + 500\n",
    "sampled_segments = [(segment_start, segment_end) for segment_start, segment_end in downward_segments if ((segment_start > start_time) and (segment_end < end_time))]\n",
    "for start, end in sampled_segments:\n",
    "    plt.fill_betweenx(series[start_time:end_time], start, end, color='green', alpha=0.3)\n",
    "# plt.xlim(0, len(df[start:end]))\n",
    "plt.scatter(range(start_time,end_time), series[start_time:end_time])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sampled_segments"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What are faults associated with?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import polars as pl\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from io import StringIO\n",
    "import math\n",
    "df = pl.read_csv('output.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['',\n",
       " 'time',\n",
       " 'AVG_PACK_SOC',\n",
       " 'AvgSOC',\n",
       " 'AvgSOH',\n",
       " 'BATT_PACK_1_DISCONN',\n",
       " 'BATT_PACK_1_FAULT',\n",
       " 'BATT_PACK_1_WARN',\n",
       " 'BATT_PACK_2_DISCONN',\n",
       " 'BATT_PACK_2_FAULT',\n",
       " 'BATT_PACK_2_WARN',\n",
       " 'BATT_PACK_3_DISCONN',\n",
       " 'BATT_PACK_3_FAULT',\n",
       " 'BATT_PACK_3_WARN',\n",
       " 'BATT_PACK_4_DISCONN',\n",
       " 'BATT_PACK_4_FAULT',\n",
       " 'BATT_PACK_4_WARN',\n",
       " 'BATT_PACK_5_DISCONN',\n",
       " 'BATT_PACK_5_FAULT',\n",
       " 'BATT_PACK_5_WARN',\n",
       " 'BATT_PACK_6_DISCONN',\n",
       " 'BATT_PACK_6_FAULT',\n",
       " 'BATT_PACK_6_WARN',\n",
       " 'BATT_PACK_7_DISCONN',\n",
       " 'BATT_PACK_7_FAULT',\n",
       " 'BATT_PACK_7_WARN',\n",
       " 'BATT_ROOM_TEMP',\n",
       " 'Current',\n",
       " 'MAX_CELL_TEMP',\n",
       " 'MAX_CELL_VOL',\n",
       " 'MAX_PACK_SOC',\n",
       " 'MAX_UNCONN_PACK_VOL',\n",
       " 'MIN_CELL_TEMP',\n",
       " 'MIN_CELL_VOL',\n",
       " 'MIN_PACK_SOC',\n",
       " 'MIN_UNCONN_PACK_VOL',\n",
       " 'NUMBER_OF_PACKS_CONN',\n",
       " 'NUMBER_OF_PACKS_FAULTED',\n",
       " 'PACK1_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK1_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK1_CRIDATA_BATT_VOL',\n",
       " 'PACK1_CRIDATA_BUS_VOL',\n",
       " 'PACK1_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK1_CRIDATA_CURR',\n",
       " 'PACK1_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK1_CRIDATA_SOC',\n",
       " 'PACK1_CRIDATA_SOH',\n",
       " 'PACK2_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK2_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK2_CRIDATA_BATT_VOL',\n",
       " 'PACK2_CRIDATA_BUS_VOL',\n",
       " 'PACK2_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK2_CRIDATA_CURR',\n",
       " 'PACK2_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK2_CRIDATA_SOC',\n",
       " 'PACK2_CRIDATA_SOH',\n",
       " 'PACK3_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK3_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK3_CRIDATA_BATT_VOL',\n",
       " 'PACK3_CRIDATA_BUS_VOL',\n",
       " 'PACK3_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK3_CRIDATA_CURR',\n",
       " 'PACK3_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK3_CRIDATA_SOC',\n",
       " 'PACK3_CRIDATA_SOH',\n",
       " 'PACK4_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK4_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK4_CRIDATA_BATT_VOL',\n",
       " 'PACK4_CRIDATA_BUS_VOL',\n",
       " 'PACK4_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK4_CRIDATA_CURR',\n",
       " 'PACK4_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK4_CRIDATA_SOC',\n",
       " 'PACK4_CRIDATA_SOH',\n",
       " 'PACK5_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK5_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK5_CRIDATA_BATT_VOL',\n",
       " 'PACK5_CRIDATA_BUS_VOL',\n",
       " 'PACK5_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK5_CRIDATA_CURR',\n",
       " 'PACK5_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK5_CRIDATA_SOC',\n",
       " 'PACK5_CRIDATA_SOH',\n",
       " 'PACK6_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK6_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK6_CRIDATA_BATT_VOL',\n",
       " 'PACK6_CRIDATA_BUS_VOL',\n",
       " 'PACK6_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK6_CRIDATA_CURR',\n",
       " 'PACK6_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK6_CRIDATA_SOC',\n",
       " 'PACK6_CRIDATA_SOH',\n",
       " 'PACK7_CRIDATA_AVG_CELL_TEMP',\n",
       " 'PACK7_CRIDATA_AVG_CELL_VOL',\n",
       " 'PACK7_CRIDATA_BATT_VOL',\n",
       " 'PACK7_CRIDATA_BUS_VOL',\n",
       " 'PACK7_CRIDATA_CHARGE_CURR_LIMIT',\n",
       " 'PACK7_CRIDATA_CURR',\n",
       " 'PACK7_CRIDATA_DISCHARGE_CURR_LIMIT',\n",
       " 'PACK7_CRIDATA_SOC',\n",
       " 'PACK7_CRIDATA_SOH',\n",
       " 'PACK_1_STATUS',\n",
       " 'PACK_2_STATUS',\n",
       " 'PACK_3_STATUS',\n",
       " 'PACK_4_STATUS',\n",
       " 'PACK_5_STATUS',\n",
       " 'PACK_6_STATUS',\n",
       " 'PACK_7_STATUS',\n",
       " 'RunningState',\n",
       " 'Voltage',\n",
       " 'valuestreamname']"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert_values(values):\n",
    "    numerical_values = []\n",
    "    for value in values:\n",
    "        if value == 'False':\n",
    "            numerical_values.append(0)\n",
    "        elif value == 'True':\n",
    "            numerical_values.append(1)\n",
    "        else:\n",
    "            # numerical_values.append(np.nan)\n",
    "            numerical_values.append(-1)\n",
    "    return numerical_values\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fe32e9c24d0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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sp06dCvZUAABAJxD0gLN8+XLNnDlTc+bMUXFxsUaOHKlx48aptLS03vpNmzbptttu0+rVq7Vjxw6NGjVKEyZMUHFxsV9dRESEXC6X3xYWFhbs6QAAgE7AYdu2Hcw7GDFihIYOHarXX3/d19a/f39NnDhRubm5zepj4MCBysjI0H/8x39IOnsGZ+bMmaqsrLygMXm9XlmWJY/Ho4iIiAvqAwAAtK2WvH4H9QxOTU2NduzYofT0dL/29PR0FRYWNquPuro6VVVVqVevXn7tJ06cUEJCgnr37q3x48cHnOH5oerqanm9Xr8NAACYK6gB59ixYzpz5oyio6P92qOjo+V2u5vVxwsvvKB//OMfmjx5sq+tX79+Wrx4sVatWqWlS5cqLCxMN9xwgw4ePFhvH7m5ubIsy7fFx8df+KQAAECH1yYfMnY4HH4/27Yd0FafpUuXau7cuVq+fLmioqJ87SkpKbrvvvs0ePBgjRw5Un/84x917bXX6pVXXqm3n5ycHHk8Ht9WVlZ2cRMCAAAdWrdgdh4ZGamuXbsGnK0pLy8POKtzvuXLl2vatGn605/+pNGjRzda26VLF11//fUNnsFxOp1yOp0tGzwAAOi0gnoGJzQ0VMnJySooKPBrLygoUFpaWoP7LV26VFOnTtUHH3ygO+64o8n7sW1bJSUlio2NvegxAwCAzi+oZ3AkadasWcrMzNSwYcOUmpqqN998U6WlpcrOzpZ09u2jo0eP6t1335V0Ntzcf//9evnll5WSkuI7+9O9e3dZliVJmjdvnlJSUnTNNdfI6/Xq97//vUpKSvTaa68FezoAAKATCHrAycjI0PHjxzV//ny5XC4lJSVp9erVSkhIkCS5XC6/a+K88cYbOn36tH7xi1/oF7/4ha/9gQce0OLFiyVJlZWVeuihh+R2u2VZloYMGaJNmzZp+PDhwZ4OAADoBIJ+HZyOiOvgAADQ+XSY6+AAAAC0BwIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjdGvvAQAXqs+THzWr7vCzdwS1f7SdC30scXFqTtfp2qfWtPcwfBo7Dnjedkzt8dxtkzM4CxYsUGJiosLCwpScnKzNmzc3Wr9x40YlJycrLCxMP/7xj/WHP/whoCYvL08DBgyQ0+nUgAEDtHLlymANHx1QS36JXcgvPH5Jdkw8Lm0vd/W+DhVupIaPA46Pjqs9HpugB5zly5dr5syZmjNnjoqLizVy5EiNGzdOpaWl9dYfOnRIt99+u0aOHKni4mL96le/0owZM5SXl+erKSoqUkZGhjIzM7Vr1y5lZmZq8uTJ2rp1a7Cngw4g2IGFX5IdG49P28ldvU9vbDrU3sOo1/nHAcdFx9fWj5HDtm07mHcwYsQIDR06VK+//rqvrX///po4caJyc3MD6p944gmtWrVK+/fv97VlZ2dr165dKioqkiRlZGTI6/VqzZr//V/F2LFj1bNnTy1durTJMXm9XlmWJY/Ho4iIiIuZHtrYxT5BmjpNyi/JzoO3q4Kro70t1ZDDz97B87aTuZjnbktev4N6BqempkY7duxQenq6X3t6eroKCwvr3aeoqCigfsyYMdq+fbtqa2sbrWmoz+rqanm9Xr8NANCw94oOt/cQgIsS1IBz7NgxnTlzRtHR0X7t0dHRcrvd9e7jdrvrrT99+rSOHTvWaE1Dfebm5sqyLN8WHx9/oVMCgEvCkb+fbO8hABelTT5k7HA4/H62bTugran689tb0mdOTo48Ho9vKysra9H4AeBSk9DrsvYeAnBRghpwIiMj1bVr14AzK+Xl5QFnYM6JiYmpt75bt2664oorGq1pqE+n06mIiAi/DQDQsMzUPu09BOCiBDXghIaGKjk5WQUFBX7tBQUFSktLq3ef1NTUgPq1a9dq2LBhCgkJabSmoT5hjov5cFpz9uWDq50Dj1PwhXbron+7MbG9h9Goc8cBx0Pn0ZaPVdDfopo1a5b+67/+S2+99Zb279+vxx57TKWlpcrOzpZ09u2j+++/31efnZ2tI0eOaNasWdq/f7/eeustLVq0SLNnz/bVPProo1q7dq2ee+45ffHFF3ruuee0bt06zZw5M9jTQQdwIU+QluzDL8uOjcen7eTcPqDDhpzzjwOOi46vrR+joH9NXDp7ob/nn39eLpdLSUlJ+t3vfqcbb7xRkjR16lQdPnxYGzZs8NVv3LhRjz32mPbu3au4uDg98cQTvkB0zocffqinnnpKX331la6++mo988wzmjRpUrPGw9fEzcCVjC89vIi1j472lXGuZNz5tNZztyWv320ScDoaAg4AAJ1Ph7kODgAAQHsg4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGCeoAaeiokKZmZmyLEuWZSkzM1OVlZUN1tfW1uqJJ57QoEGD1KNHD8XFxen+++/XN99841d38803y+Fw+G1TpkwJ5lQAAEAnEtSAc88996ikpET5+fnKz89XSUmJMjMzG6w/efKkdu7cqV//+tfauXOnVqxYob/97W+68847A2qzsrLkcrl82xtvvBHMqQAAgE6kW7A63r9/v/Lz87VlyxaNGDFCkrRw4UKlpqbqwIED6tu3b8A+lmWpoKDAr+2VV17R8OHDVVpaqquuusrXftlllykmJiZYwwcAAJ1Y0M7gFBUVybIsX7iRpJSUFFmWpcLCwmb34/F45HA4dPnll/u1L1myRJGRkRo4cKBmz56tqqqqBvuorq6W1+v12wAAgLmCdgbH7XYrKioqoD0qKkput7tZfZw6dUpPPvmk7rnnHkVERPja7733XiUmJiomJkZ79uxRTk6Odu3aFXD255zc3FzNmzfvwiYCAAA6nRafwZk7d27AB3zP37Zv3y5JcjgcAfvbtl1v+/lqa2s1ZcoU1dXVacGCBX63ZWVlafTo0UpKStKUKVP04Ycfat26ddq5c2e9feXk5Mjj8fi2srKylk4bAAB0Ii0+gzN9+vQmv7HUp08fff755/r2228Dbvvuu+8UHR3d6P61tbWaPHmyDh06pE8++cTv7E19hg4dqpCQEB08eFBDhw4NuN3pdMrpdDbaBwAAMEeLA05kZKQiIyObrEtNTZXH49G2bds0fPhwSdLWrVvl8XiUlpbW4H7nws3Bgwe1fv16XXHFFU3e1969e1VbW6vY2NjmTwQAABgraB8y7t+/v8aOHausrCxt2bJFW7ZsUVZWlsaPH+/3Dap+/fpp5cqVkqTTp0/rn//5n7V9+3YtWbJEZ86ckdvtltvtVk1NjSTpyy+/1Pz587V9+3YdPnxYq1ev1l133aUhQ4bohhtuCNZ0AABAJxLU6+AsWbJEgwYNUnp6utLT03Xdddfpvffe86s5cOCAPB6PJOnrr7/WqlWr9PXXX+uf/umfFBsb69vOffMqNDRUH3/8scaMGaO+fftqxowZSk9P17p169S1a9dgTgcAAHQSDtu27fYeRFvzer2yLEsej6fJz/cAAICOoSWv3/wtKgAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcYIacCoqKpSZmSnLsmRZljIzM1VZWdnoPlOnTpXD4fDbUlJS/Gqqq6v1yCOPKDIyUj169NCdd96pr7/+OogzAQAAnUlQA84999yjkpIS5efnKz8/XyUlJcrMzGxyv7Fjx8rlcvm21atX+90+c+ZMrVy5UsuWLdOnn36qEydOaPz48Tpz5kywpgIAADqRbsHqeP/+/crPz9eWLVs0YsQISdLChQuVmpqqAwcOqG/fvg3u63Q6FRMTU+9tHo9HixYt0nvvvafRo0dLkt5//33Fx8dr3bp1GjNmTOtPBgAAdCpBO4NTVFQky7J84UaSUlJSZFmWCgsLG913w4YNioqK0rXXXqusrCyVl5f7btuxY4dqa2uVnp7ua4uLi1NSUlKD/VZXV8vr9fptAADAXEELOG63W1FRUQHtUVFRcrvdDe43btw4LVmyRJ988oleeOEFffbZZ7rllltUXV3t6zc0NFQ9e/b02y86OrrBfnNzc32fA7IsS/Hx8RcxMwAA0NG1OODMnTs34EPA52/bt2+XJDkcjoD9bduut/2cjIwM3XHHHUpKStKECRO0Zs0a/e1vf9NHH33U6Lga6zcnJ0cej8e3lZWVtWDGAACgs2nxZ3CmT5+uKVOmNFrTp08fff755/r2228Dbvvuu+8UHR3d7PuLjY1VQkKCDh48KEmKiYlRTU2NKioq/M7ilJeXKy0trd4+nE6nnE5ns+8TAAB0bi0OOJGRkYqMjGyyLjU1VR6PR9u2bdPw4cMlSVu3bpXH42kwiNTn+PHjKisrU2xsrCQpOTlZISEhKigo0OTJkyVJLpdLe/bs0fPPP9/S6QAAAAMF7TM4/fv319ixY5WVlaUtW7Zoy5YtysrK0vjx4/2+QdWvXz+tXLlSknTixAnNnj1bRUVFOnz4sDZs2KAJEyYoMjJSP/vZzyRJlmVp2rRpevzxx/Xxxx+ruLhY9913nwYNGuT7VhUAALi0Be1r4pK0ZMkSzZgxw/eNpzvvvFOvvvqqX82BAwfk8XgkSV27dtXu3bv17rvvqrKyUrGxsRo1apSWL1+u8PBw3z6/+93v1K1bN02ePFnff/+9br31Vi1evFhdu3YN5nQAAEAn4bBt227vQbQ1r9cry7Lk8XgUERHR3sMBAADN0JLXb/4WFQAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOEENOBUVFcrMzJRlWbIsS5mZmaqsrGx0H4fDUe/2m9/8xldz8803B9w+ZcqUYE4FAAB0It2C2fk999yjr7/+Wvn5+ZKkhx56SJmZmfrLX/7S4D4ul8vv5zVr1mjatGn6+c9/7teelZWl+fPn+37u3r17K44cAAB0ZkELOPv371d+fr62bNmiESNGSJIWLlyo1NRUHThwQH379q13v5iYGL+f//znP2vUqFH68Y9/7Nd+2WWXBdQCAABIQXyLqqioSJZl+cKNJKWkpMiyLBUWFjarj2+//VYfffSRpk2bFnDbkiVLFBkZqYEDB2r27NmqqqpqsJ/q6mp5vV6/DQAAmCtoZ3DcbreioqIC2qOiouR2u5vVxzvvvKPw8HBNmjTJr/3ee+9VYmKiYmJitGfPHuXk5GjXrl0qKCiot5/c3FzNmzev5ZMAAACdUovP4MydO7fBDwKf27Zv3y7p7AeGz2fbdr3t9Xnrrbd07733KiwszK89KytLo0ePVlJSkqZMmaIPP/xQ69at086dO+vtJycnRx6Px7eVlZW1cNYAAKAzafEZnOnTpzf5jaU+ffro888/17fffhtw23fffafo6Ogm72fz5s06cOCAli9f3mTt0KFDFRISooMHD2ro0KEBtzudTjmdzib7AQAAZmhxwImMjFRkZGSTdampqfJ4PNq2bZuGDx8uSdq6das8Ho/S0tKa3H/RokVKTk7W4MGDm6zdu3evamtrFRsb2/QEAACA8YL2IeP+/ftr7NixysrK0pYtW7RlyxZlZWVp/Pjxft+g6tevn1auXOm3r9fr1Z/+9Cc9+OCDAf1++eWXmj9/vrZv367Dhw9r9erVuuuuuzRkyBDdcMMNwZoOAADoRIJ6ob8lS5Zo0KBBSk9PV3p6uq677jq99957fjUHDhyQx+Pxa1u2bJls29bdd98d0GdoaKg+/vhjjRkzRn379tWMGTOUnp6udevWqWvXrsGcDgAA6CQctm3b7T2Itub1emVZljwejyIiItp7OAAAoBla8vrN36ICAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADBOt/YegEn6PPlRew8BQbZp9iiNfXmjTtbW+bXHdpFenJai4Ym91LWLo51G1/ktWLtHz39ypL2HgWY6/Owdjd5ec7pO7xUd1pG/n1RCr8uUmdpHod1a9v/q7EVrlH+wrunCZoiJcCoirJv+9Sc/VsIVPYL+fG2N+bfEmTpb2w79XeVVp/T/lpXou3pqmnrMTOKwbdsOVufPPPOMPvroI5WUlCg0NFSVlZVN7mPbtubNm6c333xTFRUVGjFihF577TUNHDjQV1NdXa3Zs2dr6dKl+v7773XrrbdqwYIF6t27d7PG5fV6ZVmWPB6PIiIiLnR6fgg3kKRYK0xPTxigsUmx7T2UTofnUOfU0Atm7up9Wrj5kOp+8ArTxSFljUxUzu0DmtV3sI+JYD5fW2P+LZG/x6V5f9knl+dUk7WdOeS05PU7qG9R1dTU6K677tLDDz/c7H2ef/55vfjii3r11Vf12WefKSYmRrfddpuqqqp8NTNnztTKlSu1bNkyffrppzpx4oTGjx+vM2fOBGMaTeIXM85xeU7p4fd3Kn+Pq72H0qnwHOq86nvsclfv0xub/F/cJanOlt7YdEi5q/ddUL+tLVjP19aYf0vk73Hp4fd3NivcSJfO8y2oAWfevHl67LHHNGjQoGbV27atl156SXPmzNGkSZOUlJSkd955RydPntQHH3wgSfJ4PFq0aJFeeOEFjR49WkOGDNH777+v3bt3a926dcGcTr0ulQMFzWdLmveXfTpz/m831GvB2j3tPQRcpB/+Hqw5XaeFmw81Wr9w8yHVnG74bafsRWtabWzN0ZrP19aYf0ucqbM17y/71NLRXwqvXR3qQ8aHDh2S2+1Wenq6r83pdOqmm25SYWGhJGnHjh2qra31q4mLi1NSUpKv5nzV1dXyer1+GxBMLs8pbTv09/YeRqfAZ27M8l7R4YAzF+ers8/WNaS1PnPTHLZa9/naGvNviW2H/t7sMzeXmg4VcNxutyQpOjrarz06Otp3m9vtVmhoqHr27Nlgzflyc3NlWZZvi4+PD8LoAX/lVfzSwaXnyN9PtmpdW2mt52tbz5/fMw1rccCZO3euHA5Ho9v27dsvalAOh/+n2m3bDmg7X2M1OTk58ng8vq2srOyixgc0R1R4WHsPAWhzCb0ua9W6ttJaz9e2nj+/ZxrW4oAzffp07d+/v9EtKSnpggYTExMjSQFnYsrLy31ndWJiYlRTU6OKiooGa87ndDoVERHhtwHBFGuFaXhir/YeRqfw77cktPcQ0IoyU/uoqW9ed3GcrWvI2Gva7s0Fh1r3+doa82+J4Ym9FGuFiYtTBGrxURQZGal+/fo1uoWFXViiTExMVExMjAoKCnxtNTU12rhxo9LS0iRJycnJCgkJ8atxuVzas2ePr6Ytdeav2yE4HJKenjCA6+E00/9Nv7D/EKHj+OHvwdBuXZQ1MrHR+qyRiY1eD+YP08a12tiaozWfr60x/5bo2sWhpyec/dp5S2ZwKbx2BTUml5aWqqSkRKWlpTpz5oxKSkpUUlKiEydO+Gr69eunlStXSjr71tTMmTP1n//5n1q5cqX27NmjqVOn6rLLLtM999wjSbIsS9OmTdPjjz+ujz/+WMXFxbrvvvs0aNAgjR49OpjTadClcKCgeWKtML1+31Cug9NCPIc6r/oeu5zbB+jfbkwMOJPRxSH9243Nuw5MWxwTwXq+tsb8W2JsUqxev2+oYqzmnVy4VJ5vQb3Q39SpU/XOO+8EtK9fv14333zz2QE4HHr77bc1depUSf97ob833njD70J/P3zb69SpU/rlL3+pDz74wO9Cf8398HAwLvQnXRpfu7vUcSXj4OJKxp0LVzJuHFcybn0tef0OasDpqIIVcAAAQPB0mCsZAwAAtAcCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgnG7tPYD2cO7izV6vt51HAgAAmuvc63Zz/gjDJRlwqqqqJKnZf7sKAAB0HFVVVbIsq9GaS/JvUdXV1embb75ReHi4HI7W/UNrXq9X8fHxKisr4+9cXQTWsXWwjq2HtWwdrGPruFTX0bZtVVVVKS4uTl26NP4pm0vyDE6XLl3Uu3fvoN5HRETEJXXQBQvr2DpYx9bDWrYO1rF1XIrr2NSZm3P4kDEAADAOAQcAABiHgNPKnE6nnn76aTmdzvYeSqfGOrYO1rH1sJatg3VsHaxj0y7JDxkDAACzcQYHAAAYh4ADAACMQ8ABAADGIeAAAADjEHBa0YIFC5SYmKiwsDAlJydr8+bN7T2kNjN37lw5HA6/LSYmxne7bduaO3eu4uLi1L17d918883au3evXx/V1dV65JFHFBkZqR49eujOO+/U119/7VdTUVGhzMxMWZYly7KUmZmpyspKv5rS0lJNmDBBPXr0UGRkpGbMmKGampqgzf1ibNq0SRMmTFBcXJwcDof++7//2+/2jrZuu3fv1k033aTu3bvryiuv1Pz585v1N2HaQlNrOXXq1IBjNCUlxa/mUl/L3NxcXX/99QoPD1dUVJQmTpyoAwcO+NVwTDZPc9aSYzLIbLSKZcuW2SEhIfbChQvtffv22Y8++qjdo0cP+8iRI+09tDbx9NNP2wMHDrRdLpdvKy8v993+7LPP2uHh4XZeXp69e/duOyMjw46NjbW9Xq+vJjs7277yyivtgoICe+fOnfaoUaPswYMH26dPn/bVjB071k5KSrILCwvtwsJCOykpyR4/frzv9tOnT9tJSUn2qFGj7J07d9oFBQV2XFycPX369LZZiBZavXq1PWfOHDsvL8+WZK9cudLv9o60bh6Px46OjranTJli7969287Ly7PDw8Pt3/72t8FboBZoai0feOABe+zYsX7H6PHjx/1qLvW1HDNmjP3222/be/bssUtKSuw77rjDvuqqq+wTJ074ajgmm6c5a8kxGVwEnFYyfPhwOzs726+tX79+9pNPPtlOI2pbTz/9tD148OB6b6urq7NjYmLsZ5991td26tQp27Is+w9/+INt27ZdWVlph4SE2MuWLfPVHD161O7SpYudn59v27Zt79u3z5Zkb9myxVdTVFRkS7K/+OIL27bPvsh16dLFPnr0qK9m6dKlttPptD0eT6vNNxjOf1HuaOu2YMEC27Is+9SpU76a3NxcOy4uzq6rq2vFlbh4DQWcn/70pw3uw1oGKi8vtyXZGzdutG2bY/JinL+Wts0xGWy8RdUKampqtGPHDqWnp/u1p6enq7CwsJ1G1fYOHjyouLg4JSYmasqUKfrqq68kSYcOHZLb7fZbH6fTqZtuusm3Pjt27FBtba1fTVxcnJKSknw1RUVFsixLI0aM8NWkpKTIsiy/mqSkJMXFxflqxowZo+rqau3YsSN4kw+CjrZuRUVFuummm/wuLDZmzBh98803Onz4cOsvQBBs2LBBUVFRuvbaa5WVlaXy8nLfbaxlII/HI0nq1auXJI7Ji3H+Wp7DMRk8BJxWcOzYMZ05c0bR0dF+7dHR0XK73e00qrY1YsQIvfvuu/rrX/+qhQsXyu12Ky0tTcePH/etQWPr43a7FRoaqp49ezZaExUVFXDfUVFRfjXn30/Pnj0VGhra6R6LjrZu9dWc+7kzrO24ceO0ZMkSffLJJ3rhhRf02Wef6ZZbblF1dbUk1vJ8tm1r1qxZ+slPfqKkpCRJHJMXqr61lDgmg+2S/GviweJwOPx+tm07oM1U48aN8/170KBBSk1N1dVXX6133nnH96G5C1mf82vqq7+Qms6kI61bfWNpaN+OJiMjw/fvpKQkDRs2TAkJCfroo480adKkBve7VNdy+vTp+vzzz/Xpp58G3MYx2TINrSXHZHBxBqcVREZGqmvXrgEpt7y8PCARXyp69OihQYMG6eDBg75vUzW2PjExMaqpqVFFRUWjNd9++23AfX333Xd+NeffT0VFhWprazvdY9HR1q2+mnOn0zvb2kpSbGysEhISdPDgQUms5Q898sgjWrVqldavX6/evXv72jkmW66htawPx2TrIuC0gtDQUCUnJ6ugoMCvvaCgQGlpae00qvZVXV2t/fv3KzY2VomJiYqJifFbn5qaGm3cuNG3PsnJyQoJCfGrcblc2rNnj68mNTVVHo9H27Zt89Vs3bpVHo/Hr2bPnj1yuVy+mrVr18rpdCo5OTmoc25tHW3dUlNTtWnTJr+vlq5du1ZxcXHq06dP6y9AkB0/flxlZWWKjY2VxFpKZ//HPn36dK1YsUKffPKJEhMT/W7nmGy+ptayPhyTrayNPsxsvHNfE1+0aJG9b98+e+bMmXaPHj3sw4cPt/fQ2sTjjz9ub9iwwf7qq6/sLVu22OPHj7fDw8N983/22Wdty7LsFStW2Lt377bvvvvuer9a2rt3b3vdunX2zp077VtuuaXer0Ned911dlFRkV1UVGQPGjSo3q9D3nrrrfbOnTvtdevW2b179+6wXxOvqqqyi4uL7eLiYluS/eKLL9rFxcW+ywt0pHWrrKy0o6Oj7bvvvtvevXu3vWLFCjsiIqLDfI20sbWsqqqyH3/8cbuwsNA+dOiQvX79ejs1NdW+8sorWcsfePjhh23LsuwNGzb4fXX55MmTvhqOyeZpai05JoOPgNOKXnvtNTshIcEODQ21hw4d6vd1QNOduxZGSEiIHRcXZ0+aNMneu3ev7/a6ujr76aeftmNiYmyn02nfeOON9u7du/36+P777+3p06fbvXr1srt3726PHz/eLi0t9as5fvy4fe+999rh4eF2eHi4fe+999oVFRV+NUeOHLHvuOMOu3v37navXr3s6dOn+331sSNZv369LSlge+CBB2zb7njr9vnnn9sjR460nU6nHRMTY8+dO7fDfIW0sbU8efKknZ6ebv/oRz+yQ0JC7Kuuusp+4IEHAtbpUl/L+tZPkv3222/7ajgmm6epteSYDD6HbXfmyxQCAAAE4jM4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABjn/wP6YDycP/of1wAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fault = convert_values(df['BATT_PACK_1_FAULT'])\n",
    "plt.scatter(range(len(fault)), fault)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f6d74a9b010>]"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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A2sPmgRADeInNBwCEmkchpri4WFFRUW4vp9Npfm4YhoqLi5Wenq6EhASNGTNGe/fudRtGQ0ODZs2apd69eysxMVEFBQU6duyYW5nq6moVFhbK4XDI4XCosLBQZ86c8X4uYVu0RAAA2uNxS8yNN96oiooK87V7927zs0WLFmnx4sVatmyZdu7cKafTqfHjx6u2ttYsU1RUpPXr12vdunXavHmz6urqlJ+fr6amJrPMtGnTVF5erpKSEpWUlKi8vFyFhYU+zioAAAgn0R5/ITrarfXlCsMwtGTJEs2fP19TpkyRJK1atUppaWlau3atHn30UblcLq1YsUKvvPKKxo0bJ0lavXq1MjIytHHjRk2cOFH79u1TSUmJtm3bptzcXEnS8uXLlZeXp/3792vQoEG+zC+AAKGfFYBg87gl5sCBA0pPT1dmZqYeeOABHTx4UJJ06NAhVVZWasKECWbZuLg4jR49Wlu2bJEklZWV6cKFC25l0tPTlZ2dbZbZunWrHA6HGWAkaeTIkXI4HGaZtjQ0NKimpsbtBQAAwpdHISY3N1cvv/yy3nnnHS1fvlyVlZUaNWqUTp8+rcrKSklSWlqa23fS0tLMzyorKxUbG6uePXt2WCY1NbXVuFNTU80ybVm4cKHZh8bhcCgjI8OTWQM8QqMDwlUk33+m+bwbhhFxdy+2I49CzOTJk/Xd735XQ4cO1bhx4/Tmm29Kunza6IqWTcqGYXTazNyyTFvlOxvOvHnz5HK5zNfRo0e7NE9AZ9iM+V8gMiA3hQQij0+XWCcmJmro0KE6cOCA2U+mZWtJVVWV2TrjdDrV2Nio6urqDsucPHmy1bhOnTrVqpWnubi4OCUnJ7u9ALSN/isAwoFPIaahoUH79u1Tnz59lJmZKafTqdLSUvPzxsZGbdq0SaNGjZIk5eTkKCYmxq1MRUWF9uzZY5bJy8uTy+XSjh07zDLbt2+Xy+UyywCwHh5PACDYPLo6ae7cubr33nvVv39/VVVV6Z//+Z9VU1Ojhx9+WFFRUSoqKtKCBQuUlZWlrKwsLViwQD169NC0adMkSQ6HQ9OnT9ecOXPUq1cvpaSkaO7cuebpKUkaPHiwJk2apBkzZuiFF16QJD3yyCPKz8/nyiR4pCu7VLvvdskN1hCshi1OmQHuPAoxx44d04MPPqgvv/xS11xzjUaOHKlt27ZpwIABkqQnn3xS9fX1evzxx1VdXa3c3Fxt2LBBSUlJ5jCeffZZRUdHa+rUqaqvr9fYsWO1cuVKde/e3SyzZs0azZ4927yKqaCgQMuWLfPH/ALtY/8AALbiUYhZt25dh59HRUWpuLhYxcXF7ZaJj4/X0qVLtXTp0nbLpKSkaPXq1Z5MWlgLxFGeVffXnJIAgK6haxvPTgIAADZFiAEAALZEiIGlWbW11KrTBQCRhBADAICk5tcrGuLqPzsgxMBS7HITNptMpmUFpLM6vwkQcQgxQCc4GgMAayLEAIhIdm+5IVwDhBgA8Fmw8pDdgxfax0/rHUIMAACwJUIMwhbN7f5hl3r0dDrtMl+IDCyO3iHEIKKxI/Mfu1xZFgiRPO92x09nb4QYizICnMutuuIG+9lJga5nAAgUwjMhBjCxPQBonYS9EGIAAFCLAGfQT8UOCDGwNJpLw1MgflcWFSDyEGIAL0TZ/K4O9p56ALiMEAMANkSndIAQA3SqrZ0Fpy7QHIsDfMUy5B1CDAAAsCVCDICIRGsaYH+EGAAAYEuEGIQtOj76B/UIBB5rmXcIMQAAE6EVdkKIiVh0CACA5txv2GsE/Vlu8BwhBpbCJiNIyLCAJFYFuyPEWBQHAMFBPQOAfRFiYCktj4qCeZTkybg4ekOoEcABQowtRPL9LCJ53mEfLKdAaBBiAAAIMXKwdwgxQCdotgcAayLEAPALjiQBBBshBgAA2BIhBvBCFD05bY+fsG2cPoWdEGIQttgY+wf1iEjRfFk3jODefJPVzDuEGCACRYW4B0sgWkFoHQMiDyEmQrG9j2w85A9AOCDEwFLYtQIAuooQA8AvCKDBRX0DhBgA8BmnZ+ErFiHvEGIsiqOsy0LdARUAYF0+hZiFCxcqKipKRUVF5nuGYai4uFjp6elKSEjQmDFjtHfvXrfvNTQ0aNasWerdu7cSExNVUFCgY8eOuZWprq5WYWGhHA6HHA6HCgsLdebMGV8mF+hQe1e3cIkxAFiT1yFm586devHFFzVs2DC39xctWqTFixdr2bJl2rlzp5xOp8aPH6/a2lqzTFFRkdavX69169Zp8+bNqqurU35+vpqamswy06ZNU3l5uUpKSlRSUqLy8nIVFhZ6O7m2RmsE0DmDtAlEHK9CTF1dnR566CEtX75cPXv2NN83DENLlizR/PnzNWXKFGVnZ2vVqlU6d+6c1q5dK0lyuVxasWKFnnnmGY0bN04333yzVq9erd27d2vjxo2SpH379qmkpET//u//rry8POXl5Wn58uX64x//qP379/thtgEAbSEKwk68CjE/+clPdM8992jcuHFu7x86dEiVlZWaMGGC+V5cXJxGjx6tLVu2SJLKysp04cIFtzLp6enKzs42y2zdulUOh0O5ublmmZEjR8rhcJhlWmpoaFBNTY3bCwCArmp+/yRDnEq2g2hPv7Bu3Trt2rVLO3fubPVZZWWlJCktLc3t/bS0NB0+fNgsExsb69aCc6XMle9XVlYqNTW11fBTU1PNMi0tXLhQv/jFLzydHSAihfoUZSDGzx17gcjjUUvM0aNH9dOf/lSrV69WfHx8u+VabkwMw+h0A9OyTFvlOxrOvHnz5HK5zNfRo0c7HB/CHwdR/hGuR6OhDnJAc2G6mgWcRyGmrKxMVVVVysnJUXR0tKKjo7Vp0yb967/+q6Kjo80WmJatJVVVVeZnTqdTjY2Nqq6u7rDMyZMnW43/1KlTrVp5roiLi1NycrLbCwgUDvoBIPQ8CjFjx47V7t27VV5ebr5GjBihhx56SOXl5bruuuvkdDpVWlpqfqexsVGbNm3SqFGjJEk5OTmKiYlxK1NRUaE9e/aYZfLy8uRyubRjxw6zzPbt2+Vyucwy8A37YMDeuBoL8LBPTFJSkrKzs93eS0xMVK9evcz3i4qKtGDBAmVlZSkrK0sLFixQjx49NG3aNEmSw+HQ9OnTNWfOHPXq1UspKSmaO3euhg4danYUHjx4sCZNmqQZM2bohRdekCQ98sgjys/P16BBg3yeacBXnIpAcywP8BVLkHc87tjbmSeffFL19fV6/PHHVV1drdzcXG3YsEFJSUlmmWeffVbR0dGaOnWq6uvrNXbsWK1cuVLdu3c3y6xZs0azZ882r2IqKCjQsmXL/D25APyEjTCAYPM5xLz//vtu/0dFRam4uFjFxcXtfic+Pl5Lly7V0qVL2y2TkpKi1atX+zp5AAAgTPHsJFgaHWgBAO0hxAAATJHWYZj7C9kbIcaqImxDEipUc/hgVwRfNd8eGIb7HXxhTYQY4GuRtBMM9cFnqMcPIDwQYmyADT4AAK0RYgAAgC0RYhC+OJ3tF1SjNfG7hBd+T+8QYgDAV81O+dJZHAgeQkyEop+NPXA7eyAysKZ7hxADS+EoFgDQVYQYwAu0ZAFA6BFiAACmSG4MpSXYfggxQCci7TbsdkXrGPzJkBHZic4mCDFABAr1/j7U4wcQHggxAADAlggxQASilRxAOCDEWBQ7meDgKbUAYF+EGOBrdAz1DfUXXPQ3BwgxtsC+wTu0svgHV2d1jnUUvuIgwDuEGMALbG8A+BPHCt4hxEQoqz6Th6MRAEBXEWIARCQCc9siuUWg+SnoSK4HOyHEwFLYcACwCjZH1keIASJQqBshaAUB4A+EGKATbR2NsRMGgNAjxMDSCAsAgPYQYgAAgC0RYgD4BZ2yg40KBwgxAOCjKM57wkcsQt4hxAAAAFsixCBsdeX0hrenQCLpyJuTFgCsihADSwvm4xGs+igGILgiN7Y2P6gJdi3Qp8w7hBgbCMRRfwQ1JCBCsEzD3wgW1keIASJQqHf4tHoB8AdCDCzFiOCmbAQXMQqwP0IM0AmalAHAmggxAPwi1KeoAEQeQgwA2BAthAAhBhbH0T3sgMUUvmJb5x1CDOAFtjcAEHqEGAAAYEsehZjnn39ew4YNU3JyspKTk5WXl6e3337b/NwwDBUXFys9PV0JCQkaM2aM9u7d6zaMhoYGzZo1S71791ZiYqIKCgp07NgxtzLV1dUqLCyUw+GQw+FQYWGhzpw54/1cAv5GUwzCFH1tvkZF2IJHIaZfv356+umn9dFHH+mjjz7S3Xffrfvuu88MKosWLdLixYu1bNky7dy5U06nU+PHj1dtba05jKKiIq1fv17r1q3T5s2bVVdXp/z8fDU1NZllpk2bpvLycpWUlKikpETl5eUqLCz00yzDyvx5EzQ2QX5ik4rkBnrwRkd9UbhvlfVFe1L43nvvdfv/V7/6lZ5//nlt27ZNQ4YM0ZIlSzR//nxNmTJFkrRq1SqlpaVp7dq1evTRR+VyubRixQq98sorGjdunCRp9erVysjI0MaNGzVx4kTt27dPJSUl2rZtm3JzcyVJy5cvV15envbv369Bgwb5Y74jHp3IIluod/gsf4A7Gn6843WfmKamJq1bt05nz55VXl6eDh06pMrKSk2YMMEsExcXp9GjR2vLli2SpLKyMl24cMGtTHp6urKzs80yW7dulcPhMAOMJI0cOVIOh8Ms05aGhgbV1NS4veyMBTo4qGYAsC+PQ8zu3bt11VVXKS4uTo899pjWr1+vIUOGqLKyUpKUlpbmVj4tLc38rLKyUrGxserZs2eHZVJTU1uNNzU11SzTloULF5p9aBwOhzIyMjydNcvioDU4Iql1gGZyAOHA4xAzaNAglZeXa9u2bfrxj3+shx9+WJ999pn5ecsnLhuG0elTmFuWaat8Z8OZN2+eXC6X+Tp69GhXZwkWws4VANBVHoeY2NhYDRw4UCNGjNDChQs1fPhw/eY3v5HT6ZSkVq0lVVVVZuuM0+lUY2OjqqurOyxz8uTJVuM9depUq1ae5uLi4syrpq68AH8gWIWnzg6uAFifz/eJMQxDDQ0NyszMlNPpVGlpqflZY2OjNm3apFGjRkmScnJyFBMT41amoqJCe/bsMcvk5eXJ5XJpx44dZpnt27fL5XKZZQAg0hGtAQ+vTvrHf/xHTZ48WRkZGaqtrdW6dev0/vvvq6SkRFFRUSoqKtKCBQuUlZWlrKwsLViwQD169NC0adMkSQ6HQ9OnT9ecOXPUq1cvpaSkaO7cuRo6dKh5tdLgwYM1adIkzZgxQy+88IIk6ZFHHlF+fj5XJgGwJBp14CuWIe94FGJOnjypwsJCVVRUyOFwaNiwYSopKdH48eMlSU8++aTq6+v1+OOPq7q6Wrm5udqwYYOSkpLMYTz77LOKjo7W1KlTVV9fr7Fjx2rlypXq3r27WWbNmjWaPXu2eRVTQUGBli1b5o/5hc2wYgMA2uNRiFmxYkWHn0dFRam4uFjFxcXtlomPj9fSpUu1dOnSdsukpKRo9erVnkwaAMAPIvk0VfNbW0RyPdgJz04CvBDqm8WhNVrt4G/cr8v6CDGAF+y+wySEAQgHhBiELYPDKL/gEnMAVkWIiVAciV9G0Akfnv6U/PawEhZH7xBiAPiF3U+x+YKDAvvit7M3QgwAALAlQoxF0Q8hOLpSyzTzwopYLgFCjC1EUjM9G2bYUSStowgMliHvEGIARCQeAAnYHyEGAGCK5NbQ5qfxI7ke7IQQA0vjygF0FQ0r8DdyjPURYoAIFOodPqdyAPgDIQbwArtgAAg9QgwshQN0AEBXEWIQtjif7R90cARgVYSYSEWLBwBYBgcL3iHEAF7gtFdrbISDi7t6A4QYAPAZmRa+4sDIO4QYoBMc7wKANRFiYCmckgBCy4jglbD5rEdyPdgJIcaiWH+Cg3oOH7TGw98IMtZHiLEB7m4aHJFUzaGe1VCPX7LGNADwDSEGAADYEiEGlmbV1hEeTNmaVX8rAOGLEANEIM70AwgHhBgAAGBLhBiELS4s8A+qEYBVEWIiFN0XgEAJTuwjpAOEGMDaSJv2wO8EhAQhBugER7yIJJG8uBvt/A3rIsQAXuByYgviR4GfcQBjfYQYWArbjOAI9e6evAGrYFm0N0IMAACwJUIMAACwJUKMRXFa5bKAt/R6WdG0QIcBfkTA9ggxsJSW+5Vgnq/meUg2Ry9MIOIQYgAAgC0RYgDAj4LVIETDE0CIAdAJdpad41QkfMUy5B1CTISK4uYIANoQyaHVaDbzwa4Hg8s5vOJRiFm4cKFuvfVWJSUlKTU1Vd/+9re1f/9+tzKGYai4uFjp6elKSEjQmDFjtHfvXrcyDQ0NmjVrlnr37q3ExEQVFBTo2LFjbmWqq6tVWFgoh8Mhh8OhwsJCnTlzxru5BBD+COZAxPEoxGzatEk/+clPtG3bNpWWlurixYuaMGGCzp49a5ZZtGiRFi9erGXLlmnnzp1yOp0aP368amtrzTJFRUVav3691q1bp82bN6uurk75+flqamoyy0ybNk3l5eUqKSlRSUmJysvLVVhY6IdZBjwVhkdIId7hEzcA+EO0J4VLSkrc/n/ppZeUmpqqsrIyffOb35RhGFqyZInmz5+vKVOmSJJWrVqltLQ0rV27Vo8++qhcLpdWrFihV155RePGjZMkrV69WhkZGdq4caMmTpyoffv2qaSkRNu2bVNubq4kafny5crLy9P+/fs1aNAgf8w7AD/inD6AYPOpT4zL5ZIkpaSkSJIOHTqkyspKTZgwwSwTFxen0aNHa8uWLZKksrIyXbhwwa1Menq6srOzzTJbt26Vw+EwA4wkjRw5Ug6HwyzTUkNDg2pqatxeAAAgfHkdYgzD0BNPPKE77rhD2dnZkqTKykpJUlpamlvZtLQ087PKykrFxsaqZ8+eHZZJTU1tNc7U1FSzTEsLFy40+884HA5lZGR4O2sIIducuKH/BQCEnNchZubMmfr000/16quvtvqs5ZUvhmF0ejVMyzJtle9oOPPmzZPL5TJfR48e7cpsAF4hwgDhgXXZ3rwKMbNmzdIbb7yh9957T/369TPfdzqdktSqtaSqqspsnXE6nWpsbFR1dXWHZU6ePNlqvKdOnWrVynNFXFyckpOT3V4AACB8eRRiDMPQzJkz9frrr+vdd99VZmam2+eZmZlyOp0qLS0132tsbNSmTZs0atQoSVJOTo5iYmLcylRUVGjPnj1mmby8PLlcLu3YscMss337drlcLrMMIgXHSQiMQC1ZwTolyn1FAA+vTvrJT36itWvX6g9/+IOSkpLMFheHw6GEhARFRUWpqKhICxYsUFZWlrKysrRgwQL16NFD06ZNM8tOnz5dc+bMUa9evZSSkqK5c+dq6NCh5tVKgwcP1qRJkzRjxgy98MILkqRHHnlE+fn5EXNlUiTfcCqY2BHAH+giBV9xdZ93PAoxzz//vCRpzJgxbu+/9NJL+uEPfyhJevLJJ1VfX6/HH39c1dXVys3N1YYNG5SUlGSWf/bZZxUdHa2pU6eqvr5eY8eO1cqVK9W9e3ezzJo1azR79mzzKqaCggItW7bMm3kEuoQdERDZwd5o529Yl0chxuhC80BUVJSKi4tVXFzcbpn4+HgtXbpUS5cubbdMSkqKVq9e7cnkAQgAu+zUyKDwN1rErY9nJ0UoNviRLdS/vxWe3cX+CVZil4MFqyHEAAAAWyLEAJ2gSRkArIkQA0QgchmAcECIAQAAtkSIAbxggX6pABDxCDEAAMCWCDEA/IJLRC8LVkdwOpwDhBgA8FlYnV2M4HDUPBh25eau/sRjB7xDiIGlWbXvCRsc6/F0WeEXRGdoXbQ+QgwQgQKxA/ck2Fk1nAKwF0IMIhr9CjpHHQGwKkJMhOJIuDWqBECocOrKO4QYoBNsWgDAmggxAADAlggxAADAlggxgBfoU2Q9dEAGIg8hBpbCjgh2RwdNIHgIMQDgo6gwapqL7AjmPvfBPKjiBpreIcQACAthlCMAdBEhBohAod7hkzcA+AMhBpbGzg5AIIU60MM3hBjAR8F+2i0A4DJCDOCFSDp4C9eIFk6dcYFIRYiJUGy+AcA6uDTfO4QYi2KBDo6u1DKniwDAmggxwNc4vQAA9kKIAbxA3kF7gtVwRwMhQIgBAJ+FU6iN5HDUfN4NI7id2rljr3cIMQDCArsAIPIQYoAIFJCjPk8GGU5NFwBChhADAABsiRADAABsiRADAABsiRADS+PeLYHBzRQBhANCDICORfI1twh7HCjZGyEmQrHidh278PDEGgAroXXUO4QYwAvNQyCbHjQXtDv2suQBhBgA8FU4tepEcjgy3P42ePirDRBirIp1JyjYSIUPTpHCznjsgHc8DjEffPCB7r33XqWnpysqKkq///3v3T43DEPFxcVKT09XQkKCxowZo71797qVaWho0KxZs9S7d28lJiaqoKBAx44dcytTXV2twsJCORwOORwOFRYW6syZMx7PIOwtmKt1JG1CQr3BjKS6BhA4HoeYs2fPavjw4Vq2bFmbny9atEiLFy/WsmXLtHPnTjmdTo0fP161tbVmmaKiIq1fv17r1q3T5s2bVVdXp/z8fDU1NZllpk2bpvLycpWUlKikpETl5eUqLCz0YhYBAEA4ivb0C5MnT9bkyZPb/MwwDC1ZskTz58/XlClTJEmrVq1SWlqa1q5dq0cffVQul0srVqzQK6+8onHjxkmSVq9erYyMDG3cuFETJ07Uvn37VFJSom3btik3N1eStHz5cuXl5Wn//v0aNGiQt/MLy+P0DgCga/zaJ+bQoUOqrKzUhAkTzPfi4uI0evRobdmyRZJUVlamCxcuuJVJT09Xdna2WWbr1q1yOBxmgJGkkSNHyuFwmGVaamhoUE1NjdsLAACEL7+GmMrKSklSWlqa2/tpaWnmZ5WVlYqNjVXPnj07LJOamtpq+KmpqWaZlhYuXGj2n3E4HMrIyPB5fgAAgHUF5OqkllcJGIbR6ZUDLcu0Vb6j4cybN08ul8t8HT161IspBwAAduHXEON0OiWpVWtJVVWV2TrjdDrV2Nio6urqDsucPHmy1fBPnTrVqpXniri4OCUnJ7u9YH+Bvmp2x6GvAjsChMSR0+dU4arvsIwh6eCpOl1suqS/VNXq6FfnOi5vGPrgz6dUVXNem/58SlW15/04xVL12UZ9eOBUly/7P3z6nP73VJ3bexWueu094fJ6Gr4626iPj5zx+HsXmi7pPz86quNn6lXhqtcfPz2hS5e879/2l6paueoveP1917kL+tO+k7rYdMnrYfhDVe15NV4MzTT8ad9Jnb/Q1HnBNhiGoY+PVKu+0bvvB5PHHXs7kpmZKafTqdLSUt18882SpMbGRm3atEm//vWvJUk5OTmKiYlRaWmppk6dKkmqqKjQnj17tGjRIklSXl6eXC6XduzYodtuu02StH37drlcLo0aNcqfk+yVhouB/WEbLjbp/f2nAjoOq/J0hb/k4/bhx2t2+TaAAHvz0wrz76YQ3dOmvbFOX7lT1yTFuf3/6oyRGpyerOT4mA6HWddwUX/89ITqG5s0yJmkuvMX9daeCq3edsTr6Sw7XK1rf/am23uz7h6ope/+pc3yf6mq093PbHJ7b3K2U2/vafuUdVd9618/7HLZ9+aO0cma83rgxW0ej2fWqx97/B1vtKzTrgvO9H0vp5/+q+yvt+jIu66Xth487dWwvv/brebfC976XAve+tztc+/ronPL3vuLlr3X9rLqjemrPvLbsDry2x/coknZfYIyrrZ4HGLq6ur0l7/8taIPHTqk8vJypaSkqH///ioqKtKCBQuUlZWlrKwsLViwQD169NC0adMkSQ6HQ9OnT9ecOXPUq1cvpaSkaO7cuRo6dKh5tdLgwYM1adIkzZgxQy+88IIk6ZFHHlF+fn7Ir0zafcyle5dtDsiw39tfpVlrP1Zdw8WADL+5QDRw+ONOny330+cvdJxSPjxwSt/N6efzeDvSVnbo3u2vNVhTf6HTnXZX3JaZ0uHntecvqvdVcR2WCaY/fV7l9v8lQ7r/653xddck6mKTobMNF9Vw8ZLiorspPqa7Wfbpt913DoHSXoBpj68BxlMPLd+mEy7/tuhEmuYBRpLXAQbeWfj25/YKMR999JHuuusu8/8nnnhCkvTwww9r5cqVevLJJ1VfX6/HH39c1dXVys3N1YYNG5SUlGR+59lnn1V0dLSmTp2q+vp6jR07VitXrlT37n/dyK1Zs0azZ882r2IqKCho9940weTvJuQrhv9ig0/Np1aw7aDvp2Zanj5q2Vze0r6K2g4/97eFU4bq02Mu3TGwt/meP5qLZ989UIV51/o8nK461+h7UP7WUKfqG5v03tethndm9dZnJ2p0+myjDp4661a2rqHz4X3zG9fogz//tQUyuluUrr/mKtWcv6CE2O46eOqsEmO766b+Vysuuruu7hEjw5Bc9Rf0botAZRdfnWsM9SSghTsG9tbR6nM6fLrj04ve6hZ1OfCHi18U3BjS8XscYsaMGdPhOduoqCgVFxeruLi43TLx8fFaunSpli5d2m6ZlJQUrV692tPJC7gxg1pfNeUPzQPMbx64Sb/478/01dnI28DVnG9/57rk/ptU9B/lwZuYNjx4W389eJt86nfQlicmBLeF0dGjdcvRyr+9Vdf2SuzyMJ57KKfN9/9SVauqmgbFxXRXfMzlFpiLTYbONV7Ud55r+xYJkvTy393W5XF35JWtX+jnf7h8l/DBfZL19k/vbFXGde6Chv9yQ6v3v3j6nnaHO37xJh2ocg/VHZXvyJXTEu21NHY23Ofe/4sWleyXJH388/HqmRgrV/0FDf/F5Xl6f+4YXdu7a7/ldfPebHenevvAXlrzo5GdDqOt0yyLvjdMU0d07SrR42fqdfvT77Z6v6N66MqpnYk3pumFwhFdmgZfXJmWe4ena+mDl7tSPPGf5Xp913FJvi8nvvBm3AP/8S1d/Hqh8Hbag8WvfWIiQfPTCP7UP6WHnnvoFmX3dUiS/t87+/XV2U6+FAJXxUWrruGiYqO7Bb3DWkz31v3QrfC4nHA5qPJXQB+YmqSBqUmdFwyQbs3W0T/85PY2y7QV4joTrN85IyWh0zLNT18mxV/ejMd0/+t8X/JT/ylfHk/hyXPJulthRfazqxNi/Tas3lfF6cuuNGdGIB4AaREfPHmXGWAka+yc2/K7x/I0fkia1j3S+dGZP1i0GkL+7CFf2X36O9J8hxgb7b9N3Mkg9V3pym8T2yzQR3/9d3S3v77nr8Dly3bIkwdy9rrKfzt8q/jp2Cx98xvXaMn9N/k8rHGDU/Xxz8f7PlFhiBBjUVZ9uPLgPsla/jcjNCgtdEfaCL3nH7ol1JPQrn49ewRkuOOGtH17B3+776b0TstcaX1prnlLjDM53q/T5I04DwJkW62s8TG+757uu6mvz8PwlqNHjF7+u9v07Zv9Mw09Ez0Pej8cda1X47oz63Kfv/4pgVmX/InTSQioxNjuOuvDvQY6O5jz5GjP13GFwpRb+prn1a0kuo2djlXcPrCX/r9JN+gbaVd1WO7K5dTfubmv1n98XMMzru6w/P/NH6K05HgNTL1Kv/zvvfrZ5MF+nOrLUhJjNfPugZ2Wm3CjU9+9pZ9u7n+1+V5UVJQ++j/jdLHJUGKcfzbt3bxYKa5JitOp2gblXdfLq3HeM7SP7rspvdPfoysmZzt9HoZdlRTdqSwvT+sunnqT1mw/rO/cEtgrP/2BEAOvdLWhKO/6Xtq4z55XjljB/80fEpAQ42tgs2DeM0VFRenHY67vtNyz99+kv8k7oxHX9tSvvzvMrSWjLT0TY/WzyTdIkqbc3Net742/7OriKYPu3aL0zNThrd739RL8hJjuqm92gzRvlpMP/uEunW30/nYAUVGXQ5qv+vVM8OtBjt3c4PT+hq89E2M18+4sP05N4BBiYBtt3Ycm3DdR/jqiRmvxMd2Vd713rQWBCDBW0HId82YuE2K7KyG2e+cF22Hn4BGoKbdq9wIrsG6bMCCps81CqLZ3zTf29t3kAh2zdaCw76TDA4QYWBobosDwtVr5XcJTyyP+MG1wQhghxCCgfG0G7WwbGoydqSf3uwhHET77ES74KYbcBE8QYiIVW4qIRksK2tIyr7KcWIM/nksXrggxsI22WgTC+aZtVsbOLTKE4mf217LFtiEyEGJgaZ11LGRnCvhRqz4xrGCeoLqCjxADRCCOUtGWVpdYs5jA4ggxsLTm29C2zgqzjfWOr+fYCUHho6MlIRQhxl+jDKcARuf69hFiYG8W2FLZ+V4aQHMtd5aEVWsgw7SPEAOvhGLTZtVLna06XR1h54SuCElLDAcF8AAhxqJsuF8MiE4fABmcyUBLVHxYan2JNT+0FbA/aB8hBvgaG2zAnZ3XCDtPO7qOEANL67Qlhi2VV6g3tKXlqVE7d+wNBTtPu10RYmBpnfXdYKMBBA73iYHVEWIQUD6fyrXANjTST0fbseMyvNPyl85I6RH8ibDAOm81PHagfYSYCBUuV6dYoR+LFaYB8LfCkQP049HXh3oyvMZ6GRmiQz0BgC/YTIUG9R6emje6/dO3s0M3IUAX0RJjURxEXOZ2x15aVP2Go1RYVbi0EiM4CDHwilXyBPtiAGHPKhtcCyLEwNKs2mIQ6a1CVv1dYH/+WrRCsYSyXgQfIQa20VYPfZqevUOtAQgHhBjYG3vjkKDaAVgBIQaWRsdeILCstl4RkFuz2E9kKYQY2BobPO9w6h5hj2U8IhBiLMpqR0ehYtVnJ0V6CIj0+UfgsGzBE4QY2EbIgl0YBkr2E4D/sV4FHyEGAeXrc3c6fwAkm41AC8MMB9gKzy9rHyEmQtmlybb5dNplmiMB4RGB4q9liyU0MhBiYBttHYwQbLzDTbkAhANCDCyts11tqPbFtO4CgUG+hicIMbANcoN1sKMBgodtX/sIMbA1K/TNCP0UeI4QgnDHKdPIQIiBtbEdAiKKrbOHnafdpggxsI22LjO09QbPxqh2AFZg+RDz3HPPKTMzU/Hx8crJydGHH34Y6klCEFnhdFE4olZhXSydLXEhQfssHWL+4z/+Q0VFRZo/f74+/vhj3XnnnZo8ebKOHDkS6klDCLAeA+gqolBksHSIWbx4saZPn64f/ehHGjx4sJYsWaKMjAw9//zzoZ40WASd97zka71R7QAswLIhprGxUWVlZZowYYLb+xMmTNCWLVtalW9oaFBNTY3bC/bX6QMggzAN5y82BWEsACT6ucEzlg0xX375pZqampSWlub2flpamiorK1uVX7hwoRwOh/nKyMgI1qR6bGhfR6dl7hnWJ6DTcFVctE/fj+neekvTP6VHq/em3NJPkpQQ071Lwx0/xP33Htbvr3V1/TVXtSqfd32vdof1ozsyuzTOzlxounwiq3mdpSbFmX87EmJ8Gn5uZkq7n3VrtkVvazyjvp7/2zoYxi39r2713sCv6/KHo66V1HFdfSMtqdV7fRwJ7ZbviDM5XpL0d7f757eB7ybeeHmdG9InWXcNukaSdFPG1V4Nq+/V3i0Xzd3Uz/NxtxV8ror3bRvnjZv79/Tr8JK+noe7b0iVJN0ztPV+YXgbv1VstGV37X4XZVj0yVInTpxQ3759tWXLFuXl5Znv/+pXv9Irr7yizz//3K18Q0ODGhoazP9ramqUkZEhl8ul5ORkv05b2eFqfff5y61Bf5x1h7K7EEqa+7KuQW/trtCIASl6Z2+lHvnmdUpsESouNl3S9FUfaVK2Uw/e1t+n6T14qk53P7NJReOydGO6Q59X1Oj+WzOU+vUOxVsfHjilC02XdF3vq/TS/xzSP0y6oVU4MgxDe0/U6LprErX94Ff625U79f++N0z/8F+f6h8mDtLRr87pmqQ4fXLMpS++PKs3Z9+hpHj3nfX7+6vUdMnQ2MFp+tlrn2rdzqOSpJwBPfUfj4xUdPe2V9imS4Z2H3fpBmeS/v3Dg7rBmax9FTV6pvTPmnhjmn6eP0Qleyq1cd9JffeWfvr+iL8G388ra/TRF9W62HRJp+oaFKUoTbzRqaHNQlXxG3vVvVuUfp4/xKN623vCpa3/e1rfGtpH+0/W6s6BvdudB0nafOBLNVxs0tjBaa0+O3OuUW98ckL3DktXz8RYt8/+91Sdth/8St8f0U+vlR3TLQN6au32I27T3HTJ0OeVNRrsTFa3bu0fAr9WdkyDnEk619ik03UNmtzGxrQr6hou6vDpsxrSJ1lzfveJ+l6doL5XJyhnQE9ltRGWwtVHX3ylZzb8WbcMuFrV5y5o+8HTevWRkUpN8m2d9EbN+Qv6/cfH9a2hfRTTrZv+8Mlx3TO0j3pdFdf5l7/27ucn9WzpAf3usTzFd/GApaUDJ2v10eFq3T8io8Nl8Yqyw9X6h//6RBNvdGpYX4eGZ1ytUU+/q5HXpejWa1M0ObuPhqT7d9vfnv89Vacdh77S93P6dbgue+p0XYM+q6jRHQN7KyoqSo0XL2lfRY2+OH1W/Xr2UM6Anjp8+qzm/Ocnamy6pFem5+q/Pzmh0d+4RhltHFTaRU1NjRwOR5f235YNMY2NjerRo4d+97vf6Tvf+Y75/k9/+lOVl5dr06ZNHX7fk0oAAADW4Mn+27JtTrGxscrJyVFpaanb+6WlpRo1alSIpgoAAFhF8E8aeuCJJ55QYWGhRowYoby8PL344os6cuSIHnvssVBPGgAACDFLh5j7779fp0+f1i9/+UtVVFQoOztbb731lgYMGBDqSQMAACFm2T4xvqJPDAAA9hMWfWIAAAA6QogBAAC2RIgBAAC2RIgBAAC2RIgBAAC2RIgBAAC2RIgBAAC2RIgBAAC2RIgBAAC2ZOnHDvjiyo2Ia2pqQjwlAACgq67st7vyQIGwDTG1tbWSpIyMjBBPCQAA8FRtba0cDkeHZcL22UmXLl3SiRMnlJSUpKioKL8Ou6amRhkZGTp69CjPZfIB9egf1KP/UJf+QT36R6TWo2EYqq2tVXp6urp167jXS9i2xHTr1k39+vUL6DiSk5MjasEKFOrRP6hH/6Eu/YN69I9IrMfOWmCuoGMvAACwJUIMAACwJUKMF+Li4vTUU08pLi4u1JNia9Sjf1CP/kNd+gf16B/UY+fCtmMvAAAIb7TEAAAAWyLEAAAAWyLEAAAAWyLEAAAAWyLEeOi5555TZmam4uPjlZOTow8//DDUkxQ0xcXFioqKcns5nU7zc8MwVFxcrPT0dCUkJGjMmDHau3ev2zAaGho0a9Ys9e7dW4mJiSooKNCxY8fcylRXV6uwsFAOh0MOh0OFhYU6c+aMW5kjR47o3nvvVWJionr37q3Zs2ersbExYPPuiw8++ED33nuv0tPTFRUVpd///vdun1ut3nbv3q3Ro0crISFBffv21S9/+csuPcMkGDqryx/+8IetltGRI0e6lYn0uly4cKFuvfVWJSUlKTU1Vd/+9re1f/9+tzIsk13TlbpkmQwwA122bt06IyYmxli+fLnx2WefGT/96U+NxMRE4/Dhw6GetKB46qmnjBtvvNGoqKgwX1VVVebnTz/9tJGUlGS89tprxu7du43777/f6NOnj1FTU2OWeeyxx4y+ffsapaWlxq5du4y77rrLGD58uHHx4kWzzKRJk4zs7Gxjy5YtxpYtW4zs7GwjPz/f/PzixYtGdna2cddddxm7du0ySktLjfT0dGPmzJnBqQgPvfXWW8b8+fON1157zZBkrF+/3u1zK9Wby+Uy0tLSjAceeMDYvXu38dprrxlJSUnGv/zLvwSugjzQWV0+/PDDxqRJk9yW0dOnT7uVifS6nDhxovHSSy8Ze/bsMcrLy4177rnH6N+/v1FXV2eWYZnsmq7UJctkYBFiPHDbbbcZjz32mNt7N9xwg/Gzn/0sRFMUXE899ZQxfPjwNj+7dOmS4XQ6jaefftp87/z584bD4TB++9vfGoZhGGfOnDFiYmKMdevWmWWOHz9udOvWzSgpKTEMwzA+++wzQ5Kxbds2s8zWrVsNScbnn39uGMblHVm3bt2M48ePm2VeffVVIy4uznC5XH6b30BoueO1Wr0999xzhsPhMM6fP2+WWbhwoZGenm5cunTJjzXhu/ZCzH333dfud6jL1qqqqgxJxqZNmwzDYJn0Rcu6NAyWyUDjdFIXNTY2qqysTBMmTHB7f8KECdqyZUuIpir4Dhw4oPT0dGVmZuqBBx7QwYMHJUmHDh1SZWWlW/3ExcVp9OjRZv2UlZXpwoULbmXS09OVnZ1tltm6dascDodyc3PNMiNHjpTD4XArk52drfT0dLPMxIkT1dDQoLKyssDNfABYrd62bt2q0aNHu91ca+LEiTpx4oS++OIL/1dAALz//vtKTU3VN77xDc2YMUNVVVXmZ9Rlay6XS5KUkpIiiWXSFy3r8gqWycAhxHTRl19+qaamJqWlpbm9n5aWpsrKyhBNVXDl5ubq5Zdf1jvvvKPly5ersrJSo0aN0unTp8066Kh+KisrFRsbq549e3ZYJjU1tdW4U1NT3cq0HE/Pnj0VGxtru9/CavXWVpkr/9uhbidPnqw1a9bo3Xff1TPPPKOdO3fq7rvvVkNDgyTqsiXDMPTEE0/ojjvuUHZ2tiSWSW+1VZcSy2Sghe1TrAMlKirK7X/DMFq9F64mT55s/j106FDl5eXp+uuv16pVq8yOat7UT8sybZX3poydWKne2pqW9r5rNffff7/5d3Z2tkaMGKEBAwbozTff1JQpU9r9XqTW5cyZM/Xpp59q8+bNrT5jmfRMe3XJMhlYtMR0Ue/evdW9e/dWabWqqqpVso0UiYmJGjp0qA4cOGBepdRR/TidTjU2Nqq6urrDMidPnmw1rlOnTrmVaTme6upqXbhwwXa/hdXqra0yV5q+7Va3ktSnTx8NGDBABw4ckERdNjdr1iy98cYbeu+999SvXz/zfZZJz7VXl21hmfQvQkwXxcbGKicnR6WlpW7vl5aWatSoUSGaqtBqaGjQvn371KdPH2VmZsrpdLrVT2NjozZt2mTWT05OjmJiYtzKVFRUaM+ePWaZvLw8uVwu7dixwyyzfft2uVwutzJ79uxRRUWFWWbDhg2Ki4tTTk5OQOfZ36xWb3l5efrggw/cLsvcsGGD0tPTde211/q/AgLs9OnTOnr0qPr06SOJupQuH3nPnDlTr7/+ut59911lZma6fc4y2XWd1WVbWCb9LEgdiMPClUusV6xYYXz22WdGUVGRkZiYaHzxxRehnrSgmDNnjvH+++8bBw8eNLZt22bk5+cbSUlJ5vw//fTThsPhMF5//XVj9+7dxoMPPtjmZZn9+vUzNm7caOzatcu4++6727yUcNiwYcbWrVuNrVu3GkOHDm3zUsKxY8cau3btMjZu3Gj069fPspdY19bWGh9//LHx8ccfG5KMxYsXGx9//LF5ab6V6u3MmTNGWlqa8eCDDxq7d+82Xn/9dSM5Odkyl2B2VJe1tbXGnDlzjC1bthiHDh0y3nvvPSMvL8/o27cvddnMj3/8Y8PhcBjvv/++22W/586dM8uwTHZNZ3XJMhl4hBgP/du//ZsxYMAAIzY21rjlllvcLqULd1fuFRETE2Okp6cbU6ZMMfbu3Wt+funSJeOpp54ynE6nERcXZ3zzm980du/e7TaM+vp6Y+bMmUZKSoqRkJBg5OfnG0eOHHErc/r0aeOhhx4ykpKSjKSkJOOhhx4yqqur3cocPnzYuOeee4yEhAQjJSXFmDlzpttlg1by3nvvGZJavR5++GHDMKxXb59++qlx5513GnFxcYbT6TSKi4stc/llR3V57tw5Y8KECcY111xjxMTEGP379zcefvjhVvUU6XXZVv1JMl566SWzDMtk13RWlyyTgRdlGHa+VR8AAIhU9IkBAAC2RIgBAAC2RIgBAAC2RIgBAAC2RIgBAAC2RIgBAAC2RIgBAAC2RIgBAAC2RIgBAAC2RIgBAAC2RIgBAAC2RIgBAAC29P8D0YRFeF2C5PoAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df['Voltage'].cast(pl.Float32))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that faults are constrained to between 50000 and 150000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'batt room temp')"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x3000 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# start = 115000\n",
    "# end = 140000\n",
    "start = 0\n",
    "end = len(df)\n",
    "#\n",
    "\n",
    "num_rows = 10\n",
    "fig, axs = plt.subplots(nrows=num_rows, ncols=1, figsize=(10,3 * num_rows))\n",
    "\n",
    "numerical_values0 = convert_values(df['BATT_PACK_1_FAULT'][start:end])\n",
    "numerical_values1 = df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values2 = df['PACK1_CRIDATA_AVG_CELL_VOL'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values3 = df['PACK1_CRIDATA_AVG_CELL_TEMP'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values4 = df['PACK1_CRIDATA_BUS_VOL'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values5 = df['PACK1_CRIDATA_CHARGE_CURR_LIMIT'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values6 = df['PACK1_CRIDATA_CURR'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values7 = df['PACK1_CRIDATA_DISCHARGE_CURR_LIMIT'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values8 = df['PACK1_CRIDATA_SOC'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values9 = df['BATT_ROOM_TEMP'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "axs[0].scatter(range(len(numerical_values0)), numerical_values0, s=10)\n",
    "axs[0].set_title(\"fault\")\n",
    "axs[1].scatter(range(len(numerical_values1)), numerical_values1, s=10)\n",
    "axs[1].set_title(\"voltage\")\n",
    "axs[1].set_ylim(600,1000)\n",
    "\n",
    "axs[2].scatter(range(len(numerical_values2)), numerical_values2, s=10)\n",
    "axs[2].set_title(\"avg cell vol\")\n",
    "\n",
    "axs[3].scatter(range(len(numerical_values3)), numerical_values3, s=10)\n",
    "axs[3].set_title(\"avg cell temp\")\n",
    "axs[3].set_ylim(-20, 100)\n",
    "\n",
    "axs[4].scatter(range(len(numerical_values4)), numerical_values4, s=10)\n",
    "axs[4].set_title(\"bus vol\")\n",
    "\n",
    "axs[5].scatter(range(len(numerical_values5)), numerical_values5, s=10)\n",
    "axs[5].set_title(\"charge curr limit\")\n",
    "\n",
    "axs[6].scatter(range(len(numerical_values6)), numerical_values6, s=10)\n",
    "axs[6].set_title(\"curr\")\n",
    "\n",
    "axs[7].scatter(range(len(numerical_values7)), numerical_values7, s=10)\n",
    "axs[7].set_title(\"discharge curr limit\")\n",
    "\n",
    "axs[8].scatter(range(len(numerical_values8)), numerical_values8, s=10)\n",
    "axs[8].set_title(\"soc\")\n",
    "\n",
    "axs[9].scatter(range(len(numerical_values9)), numerical_values9, s=10)\n",
    "axs[9].set_title(\"batt room temp\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'batt room temp')"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x2100 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = 115000\n",
    "end = 140000\n",
    "# start = 0\n",
    "# end = len(df)\n",
    "\n",
    "num_rows = 7\n",
    "fig, axs = plt.subplots(nrows=num_rows, ncols=1, figsize=(10,3 * num_rows))\n",
    "\n",
    "numerical_values0 = convert_values(df['BATT_PACK_1_FAULT'][start:end])\n",
    "numerical_values1 = convert_values(df['BATT_PACK_1_WARN'][start:end])\n",
    "numerical_values2 = df['Current'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values3 = df['PACK1_CRIDATA_AVG_CELL_TEMP'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values6 = df['PACK1_CRIDATA_CURR'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values8 = df['PACK1_CRIDATA_SOC'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "numerical_values9 = df['BATT_ROOM_TEMP'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "axs[0].scatter(range(len(numerical_values0)), numerical_values0, s=10)\n",
    "axs[0].set_title(\"fault\")\n",
    "\n",
    "axs[1].scatter(range(len(numerical_values1)), numerical_values1, s=10)\n",
    "axs[1].set_title(\"warn\")\n",
    "\n",
    "axs[2].scatter(range(len(numerical_values2)), numerical_values2, s=10)\n",
    "axs[2].set_title(\"current\")\n",
    "axs[2].set_ylim(-20, 30)\n",
    "\n",
    "axs[3].scatter(range(len(numerical_values3)), numerical_values3, s=10)\n",
    "axs[3].set_title(\"avg cell temp\")\n",
    "axs[3].set_ylim(0, 30)\n",
    "\n",
    "axs[4].scatter(range(len(numerical_values6)), numerical_values6, s=10)\n",
    "axs[4].set_title(\"pack 1 curr\")\n",
    "axs[4].set_ylim(-5, 5)\n",
    "\n",
    "axs[5].scatter(range(len(numerical_values8)), numerical_values8, s=10)\n",
    "axs[5].set_title(\"soc\")\n",
    "\n",
    "axs[6].scatter(range(len(numerical_values9)), numerical_values9, s=10)\n",
    "axs[6].set_title(\"batt room temp\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr > th,\n",
       ".dataframe > tbody > tr > td {\n",
       "  text-align: right;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (9, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>statistic</th><th>value</th></tr><tr><td>str</td><td>f64</td></tr></thead><tbody><tr><td>&quot;count&quot;</td><td>1000.0</td></tr><tr><td>&quot;null_count&quot;</td><td>0.0</td></tr><tr><td>&quot;mean&quot;</td><td>0.190974</td></tr><tr><td>&quot;std&quot;</td><td>0.914956</td></tr><tr><td>&quot;min&quot;</td><td>-1.19995</td></tr><tr><td>&quot;25%&quot;</td><td>-0.699951</td></tr><tr><td>&quot;50%&quot;</td><td>0.0</td></tr><tr><td>&quot;75%&quot;</td><td>1.09998</td></tr><tr><td>&quot;max&quot;</td><td>2.09998</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (9, 2)\n",
       "┌────────────┬───────────┐\n",
       "│ statistic  ┆ value     │\n",
       "│ ---        ┆ ---       │\n",
       "│ str        ┆ f64       │\n",
       "╞════════════╪═══════════╡\n",
       "│ count      ┆ 1000.0    │\n",
       "│ null_count ┆ 0.0       │\n",
       "│ mean       ┆ 0.190974  │\n",
       "│ std        ┆ 0.914956  │\n",
       "│ min        ┆ -1.19995  │\n",
       "│ 25%        ┆ -0.699951 │\n",
       "│ 50%        ┆ 0.0       │\n",
       "│ 75%        ┆ 1.09998   │\n",
       "│ max        ┆ 2.09998   │\n",
       "└────────────┴───────────┘"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "start = 50000 + 70000 + 3000 \n",
    "end = start + 1000\n",
    "\n",
    "df['PACK1_CRIDATA_CURR'].cast(pl.Float32)[start:end].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr > th,\n",
       ".dataframe > tbody > tr > td {\n",
       "  text-align: right;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (3, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>statistic</th><th>value</th></tr><tr><td>str</td><td>i64</td></tr></thead><tbody><tr><td>&quot;count&quot;</td><td>273961</td></tr><tr><td>&quot;null_count&quot;</td><td>6346</td></tr><tr><td>&quot;sum&quot;</td><td>158353</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (3, 2)\n",
       "┌────────────┬────────┐\n",
       "│ statistic  ┆ value  │\n",
       "│ ---        ┆ ---    │\n",
       "│ str        ┆ i64    │\n",
       "╞════════════╪════════╡\n",
       "│ count      ┆ 273961 │\n",
       "│ null_count ┆ 6346   │\n",
       "│ sum        ┆ 158353 │\n",
       "└────────────┴────────┘"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# df.columns.index('PACK1_CRIDATA_BATT_VOL')\n",
    "# df.columns.index('PACK1_CRIDATA_CURR')\n",
    "df['RunningState'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'warn 2')"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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6d++uc889Vy6Xy9cWHx8vY4y++uornX/++fXOcTqdcjqdTVs8AAAAgDbF1pWnkJAQud1u5ebm+rXn5uZq0KBBDZ4zePBg7d27VwcOHPC1ff7552rXrp169OjRrPUCAAAAaLts/9peZmamnnvuOT3//PPauXOnZsyYoZKSEqWnp0s69pW7SZMm+frfeuut6tq1q+644w7t2LFD7733nn7zm9/ozjvvVIcOHewaBgAAAIAznO33eUpNTdW+ffs0f/58lZWVKSEhQTk5OYqNjZUklZWVqaSkxNf/rLPOUm5uru6//34lJiaqa9euuvnmm/XII4/YNQQAAAAAbYDt93myA/d5AgAAACC1ovs8AQAAAEBrQXgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsCIjwtXrxYcXFxCg0Nldvt1oYNGyyd9/777ys4OFiXXXZZ8xYIAAAAoM2zPTxlZ2crIyNDc+bMUWFhoYYOHaoxY8aopKTkpOd5PB5NmjRJI0eObKFKAQAAALRlDmOMsbOAgQMHql+/flqyZImvLT4+XikpKcrKyjrheRMmTND555+voKAgvfnmmyoqKrJ8Ta/XK5fLJY/Ho/Dw8NMpHwAAAEAr1phsYOvKU01NjQoKCpScnOzXnpycrE2bNp3wvBdeeEH/+7//q7lz51q6TnV1tbxer98BAAAAAI1ha3iqrKxUbW2tIiMj/dojIyNVXl7e4DlffPGFZs2apeXLlys4ONjSdbKysuRyuXxHTEzMadcOAAAAoG2x/TdPkuRwOPweG2PqtUlSbW2tbr31Vj388MO64IILLL/+7Nmz5fF4fEdpaelp1wwAAACgbbG2dNNMIiIiFBQUVG+VqaKiot5qlCRVVVVpy5YtKiws1NSpUyVJdXV1MsYoODhYa9eu1YgRI+qd53Q65XQ6m2cQAAAAANoEW1eeQkJC5Ha7lZub69eem5urQYMG1esfHh6ubdu2qaioyHekp6frwgsvVFFRkQYOHNhSpQMAAABoY2xdeZKkzMxMpaWlKTExUUlJSXrmmWdUUlKi9PR0Sce+crdnzx699NJLateunRISEvzO79atm0JDQ+u1AwAAAEBTsj08paamat++fZo/f77KysqUkJCgnJwcxcbGSpLKyspOec8nAAAAAGhutt/nyQ7c5wkAAACA1Iru8wQAAAAArQXhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYEFAhKfFixcrLi5OoaGhcrvd2rBhwwn7rlq1SldffbXOOecchYeHKykpSf/4xz9asFoAAAAAbZHt4Sk7O1sZGRmaM2eOCgsLNXToUI0ZM0YlJSUN9n/vvfd09dVXKycnRwUFBRo+fLjGjx+vwsLCFq4cAAAAQFviMMYYOwsYOHCg+vXrpyVLlvja4uPjlZKSoqysLEuvcdFFFyk1NVUPPfSQpf5er1cul0sej0fh4eE/qW4AAAAArV9jsoGtK081NTUqKChQcnKyX3tycrI2bdpk6TXq6upUVVWlLl26nLBPdXW1vF6v3wEAAAAAjWFreKqsrFRtba0iIyP92iMjI1VeXm7pNf7jP/5DBw8e1M0333zCPllZWXK5XL4jJibmtOoGAAAA0PbY/psnSXI4HH6PjTH12hqyYsUKzZs3T9nZ2erWrdsJ+82ePVsej8d3lJaWnnbNAAAAANqWYDsvHhERoaCgoHqrTBUVFfVWo34sOztbd911l15//XVdddVVJ+3rdDrldDpPu14AAAAAbZetK08hISFyu93Kzc31a8/NzdWgQYNOeN6KFSs0efJkvfLKKxo3blxzlwkAAAAA9q48SVJmZqbS0tKUmJiopKQkPfPMMyopKVF6erqkY1+527Nnj1566SVJx4LTpEmT9Oc//1lXXHGFb9WqQ4cOcrlcto0DAAAAwJnN9vCUmpqqffv2af78+SorK1NCQoJycnIUGxsrSSorK/O759PTTz+to0eP6r777tN9993na7/99tv14osvtnT5AAAAANoI2+/zZAfu8wQAAABAakX3eQIAAACA1oLwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWBER4Wrx4seLi4hQaGiq3260NGzactH9eXp7cbrdCQ0PVu3dvLV26tIUqBQAAANBWBdtdQHZ2tjIyMrR48WINHjxYTz/9tMaMGaMdO3aoZ8+e9foXFxdr7NixmjJlil5++WW9//77uvfee3XOOefohhtusGEEpy/7oxL9c+fX2n+wRg6HQ+Ghxz4W7/dHZYyRw+Hw/W9DzzW2f1O+VqD1b021hocGq+tZTknSvgPVp3yt1v5e/HC8xx0fN/Pi6EnnQyC/F435TJuqns6dQnR+ZJgqq6pVXHmwUa/frp1DYaHtVfX9kZP+zY2L6KSIMKe++LrK1y/Q5lFj/4YE2pwP1P6tqVbei7bzXpzOvxc6dwrx/d2rqzMBM7bOnUI0Mj5Sqf3r/3s/kDmMMcbOAgYOHKh+/fppyZIlvrb4+HilpKQoKyurXv+ZM2dq9erV2rlzp68tPT1dW7duVX5+vqVrer1euVwueTwehYeHn/4gTkPKoo0qKvXYWgMAAABgh8tiXHrzviG21tCYbGDr1/ZqampUUFCg5ORkv/bk5GRt2rSpwXPy8/Pr9R81apS2bNmiI0eONHhOdXW1vF6v3xEIsj8qITgBAACgzSoq9Sj7oxK7y7DM1vBUWVmp2tpaRUZG+rVHRkaqvLy8wXPKy8sb7H/06FFVVlY2eE5WVpZcLpfviImJaZoBnKatpd/ZXQIAAABgq9b0b+KA2DDC4XD4PT7+3cjG9G+o/bjZs2fL4/H4jtLS0tOsuGlcGnO23SUAAAAAtmpN/ya2NTxFREQoKCio3ipTRUVFvdWl46KiohrsHxwcrK5duzZ4jtPpVHh4uN8RCFL799RlMS67ywAAAABscXmMq1VtGmHrbnshISFyu93Kzc3Vdddd52vPzc3VL37xiwbPSUpK0ltvveXXtnbtWiUmJqp9+/bNWm9zePO+Iey214bHxm577LZ3/Dl222O3vdP5b4rd9gL3v5HW3L811Xqmvxfsthc4bA1PkpSZmam0tDQlJiYqKSlJzzzzjEpKSpSeni7p2Ffu9uzZo5deeknSsZ31Fi5cqMzMTE2ZMkX5+flatmyZVqxYYecwTktq/56tbuIAAAAAbY3t4Sk1NVX79u3T/PnzVVZWpoSEBOXk5Cg2NlaSVFZWppKS/9uBIy4uTjk5OZoxY4YWLVqk6OhoPfXUU632Hk8AAAAAWgfb7/Nkh0C6zxMAAAAA+7Sa+zwBAAAAQGth+9f27HB8sS1QbpYLAAAAwB7HM4GVL+S1yfBUVVUlSQFzs1wAAAAA9qqqqpLLdfLbCLXJ3zzV1dVp7969CgsLk8Nx4pvxthSv16uYmBiVlpbyGyxYwpxBYzFn0FjMGTQWcwaNFShzxhijqqoqRUdHq127k/+qqU2uPLVr1049evSwu4x6AukGvmgdmDNoLOYMGos5g8ZizqCxAmHOnGrF6Tg2jAAAAAAACwhPAAAAAGAB4SkAOJ1OzZ07V06n0+5S0EowZ9BYzBk0FnMGjcWcQWO1xjnTJjeMAAAAAIDGYuUJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCebLZ48WLFxcUpNDRUbrdbGzZssLsk2CArK0v9+/dXWFiYunXrppSUFH322Wd+fYwxmjdvnqKjo9WhQwddeeWV2r59u1+f6upq3X///YqIiFCnTp107bXX6quvvmrJocAmWVlZcjgcysjI8LUxZ/Bje/bs0cSJE9W1a1d17NhRl112mQoKCnzPM2fwQ0ePHtWDDz6ouLg4dejQQb1799b8+fNVV1fn68OcwXvvvafx48crOjpaDodDb775pt/zTTVH9u/fr7S0NLlcLrlcLqWlpem7775r5tE1wMA2r776qmnfvr159tlnzY4dO8z06dNNp06dzO7du+0uDS1s1KhR5oUXXjCffvqpKSoqMuPGjTM9e/Y0Bw4c8PV57LHHTFhYmFm5cqXZtm2bSU1NNd27dzder9fXJz093Zx77rkmNzfXfPzxx2b48OHm0ksvNUePHrVjWGghmzdvNr169TKXXHKJmT59uq+dOYMf+vbbb01sbKyZPHmy+fDDD01xcbFZt26d+fe//+3rw5zBDz3yyCOma9eu5u233zbFxcXm9ddfN2eddZZZsGCBrw9zBjk5OWbOnDlm5cqVRpJ54403/J5vqjkyevRok5CQYDZt2mQ2bdpkEhISzDXXXNNSw/QhPNlowIABJj093a+tT58+ZtasWTZVhEBRUVFhJJm8vDxjjDF1dXUmKirKPPbYY74+33//vXG5XGbp0qXGGGO+++470759e/Pqq6/6+uzZs8e0a9fOrFmzpmUHgBZTVVVlzj//fJObm2uGDRvmC0/MGfzYzJkzzZAhQ074PHMGPzZu3Dhz5513+rVdf/31ZuLEicYY5gzq+3F4aqo5smPHDiPJfPDBB74++fn5RpL517/+1cyj8sfX9mxSU1OjgoICJScn+7UnJydr06ZNNlWFQOHxeCRJXbp0kSQVFxervLzcb744nU4NGzbMN18KCgp05MgRvz7R0dFKSEhgTp3B7rvvPo0bN05XXXWVXztzBj+2evVqJSYm6qabblK3bt10+eWX69lnn/U9z5zBjw0ZMkT//Oc/9fnnn0uStm7dqo0bN2rs2LGSmDM4taaaI/n5+XK5XBo4cKCvzxVXXCGXy9Xi8yi4Ra8Gn8rKStXW1ioyMtKvPTIyUuXl5TZVhUBgjFFmZqaGDBmihIQESfLNiYbmy+7du319QkJC1Llz53p9mFNnpldffVUff/yxPvroo3rPMWfwY7t27dKSJUuUmZmpBx54QJs3b9a0adPkdDo1adIk5gzqmTlzpjwej/r06aOgoCDV1tbqD3/4g2655RZJ/J3BqTXVHCkvL1e3bt3qvX63bt1afB4RnmzmcDj8Hhtj6rWhbZk6dao++eQTbdy4sd5zP2W+MKfOTKWlpZo+fbrWrl2r0NDQE/ZjzuC4uro6JSYm6tFHH5UkXX755dq+fbuWLFmiSZMm+foxZ3Bcdna2Xn75Zb3yyiu66KKLVFRUpIyMDEVHR+v222/39WPO4FSaYo401N+OecTX9mwSERGhoKCgemm5oqKiXjpH23H//fdr9erVWr9+vXr06OFrj4qKkqSTzpeoqCjV1NRo//79J+yDM0dBQYEqKirkdrsVHBys4OBg5eXl6amnnlJwcLDvM2fO4Lju3burb9++fm3x8fEqKSmRxN8Z1Peb3/xGs2bN0oQJE3TxxRcrLS1NM2bMUFZWliTmDE6tqeZIVFSUvv7663qv/80337T4PCI82SQkJERut1u5ubl+7bm5uRo0aJBNVcEuxhhNnTpVq1at0jvvvKO4uDi/5+Pi4hQVFeU3X2pqapSXl+ebL263W+3bt/frU1ZWpk8//ZQ5dQYaOXKktm3bpqKiIt+RmJio2267TUVFRerduzdzBn4GDx5c7xYIn3/+uWJjYyXxdwb1HTp0SO3a+f9TMSgoyLdVOXMGp9JUcyQpKUkej0ebN2/29fnwww/l8Xhafh616PYU8HN8q/Jly5aZHTt2mIyMDNOpUyfz5Zdf2l0aWtgvf/lL43K5zLvvvmvKysp8x6FDh3x9HnvsMeNyucyqVavMtm3bzC233NLgVp89evQw69atMx9//LEZMWIE28G2IT/cbc8Y5gz8bd682QQHB5s//OEP5osvvjDLly83HTt2NC+//LKvD3MGP3T77bebc88917dV+apVq0xERIT57W9/6+vDnEFVVZUpLCw0hYWFRpJ58sknTWFhoe/WO001R0aPHm0uueQSk5+fb/Lz883FF1/MVuVt0aJFi0xsbKwJCQkx/fr1821NjbZFUoPHCy+84OtTV1dn5s6da6KioozT6TQ///nPzbZt2/xe5/Dhw2bq1KmmS5cupkOHDuaaa64xJSUlLTwa2OXH4Yk50/L+8z//01x33XWmV69eRpIZNmyY3SX5eeutt0xCQoJxOp2mT58+5plnnvF7njmDH/J6vWb69OmmZ8+eJjQ01PTu3dvMmTPHVFdX+/owZ7B+/foG/w1z++23G2Oabo7s27fP3HbbbSYsLMyEhYWZ2267zezfv7+FRvl/HMYY07JrXQAAnJn69OmjTp066bLLLtNbb72lvn376t1337W7LABAE2G3PQBAm3fo0CF17NjxtF9nx44dvt+IHL/VAADgzMGGEQCAgLF9+3Y5HA69/vrrvraCggI5HA5ddNFFfn2vvfZaud1u3+Ps7GwlJyere/fu6tChg+Lj4zVr1iwdPHjQ77zJkyfrrLPO0rZt25ScnKywsDCNHDlS0rGtcKdOnar/+Z//UXx8vDp27KhLL71Ub7/9tqX6f/zjegDAmYW/8gCAgHHRRRepe/fuWrduna9t3bp16tChg3bs2KG9e/dKko4ePaq8vDxdddVVvn5ffPGFxo4dq2XLlmnNmjXKyMjQa6+9pvHjx9e7Tk1Nja699lqNGDFCf/3rX/Xwww/7nvvb3/6mhQsXav78+Vq5cqW6dOmi6667Trt27WrGkQMAWgO+tgcACCgjR46sF54mTpyov/zlL1q3bp0mTZqkzZs3y+v1+oWnBx980Pf/NsZo8ODBio+P17Bhw/TJJ5/okksu8T1/5MgRPfTQQ7rjjjvqXf/w4cNat26dwsLCJEn9+vVTdHS0XnvtNc2aNas5hgwAaCVYeQIABJSRI0dq165dKi4u1vfff6+NGzdq9OjRGj58uO8+IOvWrZPT6dSQIUN85+3atUu33nqroqKiFBQUpPbt22vYsGGSpJ07d9a7zg033NDg9YcPH+4LTpIUGRmpbt26affu3U05TABAK8TKEwAgoBxfTVq3bp3i4uJ05MgRjRgxQl9//bV+//vf+54bPHiwOnToIEk6cOCAhg4dqtDQUD3yyCO64IIL1LFjR5WWlur666/X4cOH/a7RsWNHhYeHN3j9rl271mtzOp31XgMA0PYQngAAAaVHjx664IILtG7dOvXq1UuJiYk6++yzNXLkSN1777368MMP9cEHH/j9Tumdd97R3r179e677/pWmyTpu+++a/AaDoejuYcBADgDEZ4AAAHnqquu0muvvaaYmBiNGzdOknTBBReoZ8+eeuihh3TkyBG/3zsdD0NOp9PvdZ5++umWKxoAcMYjPAEAAs7IkSO1ePFiVVZWasGCBX7tL7zwgjp37uy3TfmgQYPUuXNnpaena+7cuWrfvr2WL1+urVu3tmjdW7Zs0ZdffilJ8nq9MsboL3/5iySpf//+io2NbdF6AABNiw0jAAABZ8SIEWrXrp06deqkpKQkX/vx1abhw4f73VOpa9eu+tvf/qaOHTtq4sSJuvPOO3XWWWcpOzu7ReteuHChbrrpJt10000qLS3Vjh07fI/Xr1/forUAAJqewxhj7C4CAAAAAAIdK08AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAgjZ5k9y6ujrt3btXYWFhvrvSAwAAAGh7jDGqqqpSdHS03z0EG9Imw9PevXsVExNjdxkAAAAAAkRpaal69Ohx0j5tMjyFhYVJOvYGhYeH21wNAAAAALt4vV7FxMT4MsLJtMnwdPyreuHh4YQnAAAAAJZ+zsOGEQAAAABgAeEJAAAAACywPTy99957Gj9+vKKjo+VwOPTmm2+e8py8vDy53W6Fhoaqd+/eWrp0afMXCgAAAKBNs/03TwcPHtSll16qO+64QzfccMMp+xcXF2vs2LGaMmWKXn75Zb3//vu69957dc4551g6HzgdhSX7VVx5UHERnXR5z852l4MmEgifayDUYFVrqvWnsHN8hSX79e5nFZKkKy/s1ujrn+75geBMnV8Njas1jzXQaw+E+uyoIRDGfaZzGGOM3UUc53A49MYbbyglJeWEfWbOnKnVq1dr586dvrb09HRt3bpV+fn5lq7j9Xrlcrnk8XjYMAKWPfb3nVqat8v3OH1Yb80aE29jRWgKgfC5BkINVrWmWn8KO8f342s39vqne34gOFPnV0PjktRqxxron1Mg1GdHDYEw7taqMdnA9q/tNVZ+fr6Sk5P92kaNGqUtW7boyJEjDZ5TXV0tr9frdwCNUViyv94/Spbm7VJhyX6bKkJTCITPNRBqsKo11fpT2Dm+hq7dmOuf7vmB4EydXycaV2sda6B/ToFQnx01BMK424pWF57Ky8sVGRnp1xYZGamjR4+qsrKywXOysrLkcrl8BzfIRWMVVx5sVDtah0D4XAOhBqtaU60/hZ3jO9k1rFz/dM8PBGfq/GpM/a1hrIH+OQVCfXbUEAjjbitaXXiS6u/Bfvybhyfam3327NnyeDy+o7S0tNlrxJklLqJTo9rROgTC5xoINVjVmmr9Kewc38muYeX6p3t+IDhT51dj6m8NYw30zykQ6rOjhkAYd1vR6sJTVFSUysvL/doqKioUHBysrl27NniO0+n03RCXG+Pip7i8Z2ffd9SP++Ww3vwYs5ULhM81EGqwqjXV+lPYOb6Grt2Y65/u+YHgTJ1fJxpXax1roH9OgVCfHTUEwrjbila5YcRbb72lHTt2+Np++ctfqqioiA0j0OzYxebMFAifayDUYFVrqvWnYLc9e52p84vd9lpWINTHbnutR2Oyge3h6cCBA/r3v/8tSbr88sv15JNPavjw4erSpYt69uyp2bNna8+ePXrppZckHduqPCEhQffcc4+mTJmi/Px8paena8WKFZa3Kic8AQAAAJAalw1sv8/Tli1bNHz4cN/jzMxMSdLtt9+uF198UWVlZSopKfE9HxcXp5ycHM2YMUOLFi1SdHS0nnrqKe7xBAAAAKBZ2b7yZAdWngAAAABIZ/h9ngAAAADADoQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALAgIMLT4sWLFRcXp9DQULndbm3YsOGk/ZcvX65LL71UHTt2VPfu3XXHHXdo3759LVQtAAAAgLbI9vCUnZ2tjIwMzZkzR4WFhRo6dKjGjBmjkpKSBvtv3LhRkyZN0l133aXt27fr9ddf10cffaS77767hSsHAAAA0JbYHp6efPJJ3XXXXbr77rsVHx+vBQsWKCYmRkuWLGmw/wcffKBevXpp2rRpiouL05AhQ3TPPfdoy5YtLVw5AAAAgLbE1vBUU1OjgoICJScn+7UnJydr06ZNDZ4zaNAgffXVV8rJyZExRl9//bX+8pe/aNy4cSe8TnV1tbxer98BAAAAAI1ha3iqrKxUbW2tIiMj/dojIyNVXl7e4DmDBg3S8uXLlZqaqpCQEEVFRenss8/Wf/3Xf53wOllZWXK5XL4jJiamSccBAAAA4Mxn+9f2JMnhcPg9NsbUaztux44dmjZtmh566CEVFBRozZo1Ki4uVnp6+glff/bs2fJ4PL6jtLS0SesHAAAAcOYLtvPiERERCgoKqrfKVFFRUW816risrCwNHjxYv/nNbyRJl1xyiTp16qShQ4fqkUceUffu3eud43Q65XQ6m34AAAAAANoMW1eeQkJC5Ha7lZub69eem5urQYMGNXjOoUOH1K6df9lBQUGSjq1YAQAAAEBzsP1re5mZmXruuef0/PPPa+fOnZoxY4ZKSkp8X8ObPXu2Jk2a5Os/fvx4rVq1SkuWLNGuXbv0/vvva9q0aRowYICio6PtGgYAAACAM5ytX9uTpNTUVO3bt0/z589XWVmZEhISlJOTo9jYWElSWVmZ3z2fJk+erKqqKi1cuFC/+tWvdPbZZ2vEiBF6/PHH7RoCAAAAgDbAYdrgd928Xq9cLpc8Ho/Cw8PtLgcAAACATRqTDWz/2h4AAAAAtAaEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAUBEZ4WL16suLg4hYaGyu12a8OGDSftX11drTlz5ig2NlZOp1PnnXeenn/++RaqFgAAAEBbFGx3AdnZ2crIyNDixYs1ePBgPf300xozZox27Nihnj17NnjOzTffrK+//lrLli3Tz372M1VUVOjo0aMtXDkAAACAtsRhjDF2FjBw4ED169dPS5Ys8bXFx8crJSVFWVlZ9fqvWbNGEyZM0K5du9SlS5efdE2v1yuXyyWPx6Pw8PCfXDsAAACA1q0x2cDWr+3V1NSooKBAycnJfu3JycnatGlTg+esXr1aiYmJeuKJJ3Tuuefqggsu0K9//WsdPnz4hNeprq6W1+v1OwAAAACgMWz92l5lZaVqa2sVGRnp1x4ZGany8vIGz9m1a5c2btyo0NBQvfHGG6qsrNS9996rb7/99oS/e8rKytLDDz/c5PUDAAAAaDsCYsMIh8Ph99gYU6/tuLq6OjkcDi1fvlwDBgzQ2LFj9eSTT+rFF1884erT7Nmz5fF4fEdpaWmTjwEAAADAmc3WlaeIiAgFBQXVW2WqqKiotxp1XPfu3XXuuefK5XL52uLj42WM0VdffaXzzz+/3jlOp1NOp7NpiwcAAADQpti68hQSEiK3263c3Fy/9tzcXA0aNKjBcwYPHqy9e/fqwIEDvrbPP/9c7dq1U48ePZq1XgAAAABtl+1f28vMzNRzzz2n559/Xjt37tSMGTNUUlKi9PR0Sce+cjdp0iRf/1tvvVVdu3bVHXfcoR07dui9997Tb37zG915553q0KGDXcMAAAAAcIaz/T5Pqamp2rdvn+bPn6+ysjIlJCQoJydHsbGxkqSysjKVlJT4+p911lnKzc3V/fffr8TERHXt2lU333yzHnnkEbuGAAAAAKANsP0+T3bgPk8AAAAApFZ0nycAAAAAaC0ITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgQUCEp8WLFysuLk6hoaFyu93asGGDpfPef/99BQcH67LLLmveAgEAAAC0ebaHp+zsbGVkZGjOnDkqLCzU0KFDNWbMGJWUlJz0PI/Ho0mTJmnkyJEtVCkAAACAtsxhjDF2FjBw4ED169dPS5Ys8bXFx8crJSVFWVlZJzxvwoQJOv/88xUUFKQ333xTRUVFlq/p9Xrlcrnk8XgUHh5+OuUDAAAAaMUakw1sXXmqqalRQUGBkpOT/dqTk5O1adOmE573wgsv6H//9381d+5cS9eprq6W1+v1OwAAAACgMWwNT5WVlaqtrVVkZKRfe2RkpMrLyxs854svvtCsWbO0fPlyBQcHW7pOVlaWXC6X74iJiTnt2gEAAAC0Lbb/5kmSHA6H32NjTL02SaqtrdWtt96qhx9+WBdccIHl1589e7Y8Ho/vKC0tPe2aAQAAALQt1pZumklERISCgoLqrTJVVFTUW42SpKqqKm3ZskWFhYWaOnWqJKmurk7GGAUHB2vt2rUaMWJEvfOcTqecTmfzDAIAAABAm2DrylNISIjcbrdyc3P92nNzczVo0KB6/cPDw7Vt2zYVFRX5jvT0dF144YUqKirSwIEDW6p0AAAAAG2MrStPkpSZmam0tDQlJiYqKSlJzzzzjEpKSpSeni7p2Ffu9uzZo5deeknt2rVTQkKC3/ndunVTaGhovXYAAAAAaEq2h6fU1FTt27dP8+fPV1lZmRISEpSTk6PY2FhJUllZ2Snv+QQAAAAAzc32+zzZgfs8AQAAAJBa0X2eAAAAAKC1IDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsCIjwtHjxYsXFxSk0NFRut1sbNmw4Yd9Vq1bp6quv1jnnnKPw8HAlJSXpH//4RwtWCwAAAKAtsj08ZWdnKyMjQ3PmzFFhYaGGDh2qMWPGqKSkpMH+7733nq6++mrl5OSooKBAw4cP1/jx41VYWNjClQMAAABoSxzGGGNnAQMHDlS/fv20ZMkSX1t8fLxSUlKUlZVl6TUuuugipaam6qGHHrLU3+v1yuVyyePxKDw8/CfVDQAAAKD1a0w2sHXlqaamRgUFBUpOTvZrT05O1qZNmyy9Rl1dnaqqqtSlS5fmKBEAAAAAJEnBdl68srJStbW1ioyM9GuPjIxUeXm5pdf4j//4Dx08eFA333zzCftUV1erurra99jr9f60ggEAAAC0Wbb/5kmSHA6H32NjTL22hqxYsULz5s1Tdna2unXrdsJ+WVlZcrlcviMmJua0awYAAADQttganiIiIhQUFFRvlamioqLeatSPZWdn66677tJrr72mq6666qR9Z8+eLY/H4ztKS0tPu3YAAAAAbYut4SkkJERut1u5ubl+7bm5uRo0aNAJz1uxYoUmT56sV155RePGjTvldZxOp8LDw/0OAAAAAGgMW3/zJEmZmZlKS0tTYmKikpKS9Mwzz6ikpETp6emSjq0a7dmzRy+99JKkY8Fp0qRJ+vOf/6wrrrjCt2rVoUMHuVwu28YBAAAA4Mxme3hKTU3Vvn37NH/+fJWVlSkhIUE5OTmKjY2VJJWVlfnd8+npp5/W0aNHdd999+m+++7ztd9+++168cUXW7p8AAAAAG2E7fd5sgP3eQIAAAAgtaL7PAEAAABAa0F4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALAiI8LV68WHFxcQoNDZXb7daGDRtO2j8vL09ut1uhoaHq3bu3li5d2kKVAgAAAGirgu0uIDs7WxkZGVq8eLEGDx6sp59+WmPGjNGOHTvUs2fPev2Li4s1duxYTZkyRS+//LLef/993XvvvTrnnHN0ww032DCC05f9UYn+ufNr7T9YI4fDofDQYx+L9/ujMsbI4XD4/reh5xrbvylfK9D6N/e1w0OD1fUspyRp34HqNv1etKb+TfmZNletJ6sj0OZFS9Vq17zo3ClE50eGqbKqWsWVB1u01s6dQjQyPlKSftL/XQgPDdZF57oUfXYHfbx7v+X6A+lz69wpRGGh7VX1/RHV1ZmAmRen2//4fzfH/5tp6L+jQPtsTvZcXEQnRYQ59cXXVb55eibPo5/633NDf0ua8734KX+/7Pzc4iI6acKAnrq8Z2e1Fg5jjLGzgIEDB6pfv35asmSJry0+Pl4pKSnKysqq13/mzJlavXq1du7c6WtLT0/X1q1blZ+fb+maXq9XLpdLHo9H4eHhpz+I05CyaKOKSj221gAAAADYJX1Yb80aE2/b9RuTDWz92l5NTY0KCgqUnJzs156cnKxNmzY1eE5+fn69/qNGjdKWLVt05MiRBs+prq6W1+v1OwJB9kclBCcAAAC0aUvzdqmwZL/dZVhia3iqrKxUbW2tIiMj/dojIyNVXl7e4Dnl5eUN9j969KgqKysbPCcrK0sul8t3xMTENM0ATtPW0u/sLgEAAACwXXHlQbtLsCQgNoxwOBx+j49/D7Ix/RtqP2727NnyeDy+o7S09DQrbhqXxpxtdwkAAACA7eIiOtldgiW2hqeIiAgFBQXVW2WqqKiot7p0XFRUVIP9g4OD1bVr1wbPcTqdCg8P9zsCQWr/nrosxmV3GQAAAIBtfjmsd6vZNMLW3fZCQkLkdruVm5ur6667zteem5urX/ziFw2ek5SUpLfeesuvbe3atUpMTFT79u2btd7m8OZ9Q9htrxWNjd32Wmf/pvxMW/sOdq2pVnbbY7c9dtsLzP9GHA5222O3PXbbs012drbS0tK0dOlSJSUl6ZlnntGzzz6r7du3KzY2VrNnz9aePXv00ksvSTq2VXlCQoLuueceTZkyRfn5+UpPT9eKFSssb1UeSLvtAQAAALBPY7KBrStPkpSamqp9+/Zp/vz5KisrU0JCgnJychQbGytJKisrU0lJia9/XFyccnJyNGPGDC1atEjR0dF66qmnWu09ngAAAAC0DravPNmBlScAAAAAUiu6zxMAAAAAtBa2f23PDscX2wLlZrkAAAAA7HE8E1j5Ql6bDE9VVVWSFDA3ywUAAABgr6qqKrlcJ7+NUJv8zVNdXZ327t2rsLAwORwnvhlvS/F6vYqJiVFpaSm/wYIlzBk0FnMGjcWcQWMxZ9BYgTJnjDGqqqpSdHS02rU7+a+a2uTKU7t27dSjRw+7y6gnkG7gi9aBOYPGYs6gsZgzaCzmDBorEObMqVacjmPDCAAAAACwgPAEAAAAABYQngKA0+nU3Llz5XQ67S4FrQRzBo3FnEFjMWfQWMwZNFZrnDNtcsMIAAAAAGgsVp4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeHJZosXL1ZcXJxCQ0Pldru1YcMGu0uCDbKystS/f3+FhYWpW7duSklJ0WeffebXxxijefPmKTo6Wh06dNCVV16p7du3+/Wprq7W/fffr4iICHXq1EnXXnutvvrqq5YcCmySlZUlh8OhjIwMXxtzBj+2Z88eTZw4UV27dlXHjh112WWXqaCgwPc8cwY/dPToUT344IOKi4tThw4d1Lt3b82fP191dXW+PswZvPfeexo/fryio6PlcDj05ptv+j3fVHNk//79SktLk8vlksvlUlpamr777rtmHl0DDGzz6quvmvbt25tnn33W7Nixw0yfPt106tTJ7N692+7S0MJGjRplXnjhBfPpp5+aoqIiM27cONOzZ09z4MABX5/HHnvMhIWFmZUrV5pt27aZ1NRU0717d+P1en190tPTzbnnnmtyc3PNxx9/bIYPH24uvfRSc/ToUTuGhRayefNm06tXL3PJJZeY6dOn+9qZM/ihb7/91sTGxprJkyebDz/80BQXF5t169aZf//7374+zBn80COPPGK6du1q3n77bVNcXGxef/11c9ZZZ5kFCxb4+jBnkJOTY+bMmWNWrlxpJJk33njD7/mmmiOjR482CQkJZtOmTWbTpk0mISHBXHPNNS01TB/Ck40GDBhg0tPT/dr69OljZs2aZVNFCBQVFRVGksnLyzPGGFNXV2eioqLMY4895uvz/fffG5fLZZYuXWqMMea7774z7du3N6+++qqvz549e0y7du3MmjVrWnYAaDFVVVXm/PPPN7m5uWbYsGG+8MScwY/NnDnTDBky5ITPM2fwY+PGjTN33nmnX9v1119vJk6caIxhzqC+H4enppojO3bsMJLMBx984OuTn59vJJl//etfzTwqf3xtzyY1NTUqKChQcnKyX3tycrI2bdpkU1UIFB6PR5LUpUsXSVJxcbHKy8v95ovT6dSwYcN886WgoEBHjhzx6xMdHa2EhATm1Bnsvvvu07hx43TVVVf5tTNn8GOrV69WYmKibrrpJnXr1k2XX365nn32Wd/zzBn82JAhQ/TPf/5Tn3/+uSRp69at2rhxo8aOHSuJOYNTa6o5kp+fL5fLpYEDB/r6XHHFFXK5XC0+j4Jb9GrwqaysVG1trSIjI/3aIyMjVV5eblNVCATGGGVmZmrIkCFKSEiQJN+caGi+7N6929cnJCREnTt3rteHOXVmevXVV/Xxxx/ro48+qvcccwY/tmvXLi1ZskSZmZl64IEHtHnzZk2bNk1Op1OTJk1izqCemTNnyuPxqE+fPgoKClJtba3+8Ic/6JZbbpHE3xmcWlPNkfLycnXr1q3e63fr1q3F5xHhyWYOh8PvsTGmXhvalqlTp+qTTz7Rxo0b6z33U+YLc+rMVFpaqunTp2vt2rUKDQ09YT/mDI6rq6tTYmKiHn30UUnS5Zdfru3bt2vJkiWaNGmSrx9zBsdlZ2fr5Zdf1iuvvKKLLrpIRUVFysjIUHR0tG6//XZfP+YMTqUp5khD/e2YR3xtzyYREREKCgqql5YrKirqpXO0Hffff79Wr16t9evXq0ePHr72qKgoSTrpfImKilJNTY32799/wj44cxQUFKiiokJut1vBwcEKDg5WXl6ennrqKQUHB/s+c+YMjuvevbv69u3r1xYfH6+SkhJJ/J1Bfb/5zW80a9YsTZgwQRdffLHS0tI0Y8YMZWVlSWLO4NSaao5ERUXp66+/rvf633zzTYvPI8KTTUJCQuR2u5Wbm+vXnpubq0GDBtlUFexijNHUqVO1atUqvfPOO4qLi/N7Pi4uTlFRUX7zpaamRnl5eb754na71b59e78+ZWVl+vTTT5lTZ6CRI0dq27ZtKioq8h2JiYm67bbbVFRUpN69ezNn4Gfw4MH1boHw+eefKzY2VhJ/Z1DfoUOH1K6d/z8Vg4KCfFuVM2dwKk01R5KSkuTxeLR582Zfnw8//FAej6fl51GLbk8BP8e3Kl+2bJnZsWOHycjIMJ06dTJffvml3aWhhf3yl780LpfLvPvuu6asrMx3HDp0yNfnscceMy6Xy6xatcps27bN3HLLLQ1u9dmjRw+zbt068/HHH5sRI0awHWwb8sPd9oxhzsDf5s2bTXBwsPnDH/5gvvjiC7N8+XLTsWNH8/LLL/v6MGfwQ7fffrs599xzfVuVr1q1ykRERJjf/va3vj7MGVRVVZnCwkJTWFhoJJknn3zSFBYW+m6901RzZPTo0eaSSy4x+fn5Jj8/31x88cVsVd4WLVq0yMTGxpqQkBDTr18/39bUaFskNXi88MILvj51dXVm7ty5JioqyjidTvPzn//cbNu2ze91Dh8+bKZOnWq6dOliOnToYK655hpTUlLSwqOBXX4cns6EOfPqq6+avn37mtDQUCPJFBYWNst1hg0bZoYNG+Z7fPDgQTN37lyzfv16S+d/9tln5le/+pXp16+fcblcpnPnzmbQoEHm9ddfb5Z6f6q33nrLJCQkGKfTafr06WOeeeYZv+fPhDmDpuP1es306dNNz549TWhoqOndu7eZM2eOqa6u9vVhzmD9+vUN/hvm9ttvN8Y03RzZt2+fue2220xYWJgJCwszt912m9m/f38LjfL/OIwxpmXXugAAOLVvvvlG5557rkaPHq1f/epXcjqduuSSS9SxY8cmv9aVV14pSXr33XclHdsR9ZxzztHcuXM1b968U56/cOFCLVq0SGlpaerfv7+OHj2q7Oxs/fd//7cefvhhPfTQQ01eMwCg5bHbHgAgIH3++ec6cuSIJk6cqGHDhtldzklNmDBB9913n9+uT2PGjFFlZaUef/xxzZw5U06n08YKAQBNgQ0jAAABZ/LkyRoyZIgkKTU1VQ6Hw7c6tGXLFk2YMEG9evVShw4d1KtXL91yyy2+e4YcN2/evAa3sH3xxRflcDj05ZdfNnjtL7/8Uuecc44k6eGHH5bD4ZDD4dDkyZNPWG9ERESD1xowYIAOHTqkb7/91sKoAQCBjpUnAEDA+d3vfqcBAwbovvvu06OPPqrhw4crPDxc0rFwc+GFF2rChAnq0qWLysrKtGTJEvXv3187duxQRETEaV27e/fuWrNmjUaPHq277rpLd999tyT5AlVjrF+/Xuecc06DN3cEALQ+hCcAQMA577zzfPckOv/883XFFVf4nrvxxht14403+h7X1tbqmmuuUWRkpF555RVNmzbttK7tdDrldrslST169PC7dmM899xzevfdd/XnP/9ZQUFBp1UTACAw8LU9AECrcuDAAc2cOVM/+9nPfDcIPuuss3Tw4EHt3LnT7vIkSX//+99133336cYbb9T9999vdzkAgCbCyhMAoFW59dZb9c9//lO/+93v1L9/f4WHh8vhcGjs2LE6fPiw3eXpH//4h66//npdffXVWr58eYO/hQIAtE6EJwBAq+HxePT2229r7ty5mjVrlq+9urq63qYMoaGhvud+uNNdZWVls9X3j3/8QykpKRo2bJhWrlypkJCQZrsWAKDl8bU9AECr4XA4ZIypt+33c889p9raWr+2Xr16SZI++eQTv/a33nrrlNc5/vqNWclau3atUlJSNGTIEL355ptsTQ4AZyBWngAArUZ4eLh+/vOf649//KMiIiLUq1cv5eXladmyZTr77LP9+o4dO1ZdunTRXXfdpfnz5ys4OFgvvviiSktLT3mdsLAwxcbG6q9//atGjhypLl26+K7XkI0bNyolJUVRUVF64IEHVFRU5Pd83759fbsFAgBaL1aeAACtyiuvvKLhw4frt7/9ra6//npt2bJFubm5crlcfv3Cw8O1Zs0ahYWFaeLEiUpPT1dCQoLmzJlj6TrLli1Tx44dde2116p///6aN2/eCfuuW7dOhw8f1pdffqkRI0YoKSnJ7/j4449PZ8gAgADhMMYYu4sAAAAAgEDHyhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwoE3eJLeurk579+5VWFiYHA6H3eUAAAAAsIkxRlVVVYqOjla7didfW2qT4Wnv3r2KiYmxuwwAAAAAAaK0tFQ9evQ4aZ82GZ7CwsIkHXuDwsPDba4GAAAAgF28Xq9iYmJ8GeFk2mR4Ov5VvfDwcMITAAAAAEs/52HDCAAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWNDs4Wnx4sWKi4tTaGio3G63NmzYcNL+eXl5crvdCg0NVe/evbV06dIT9n311VflcDiUkpLSxFUDAAAAgL9mDU/Z2dnKyMjQnDlzVFhYqKFDh2rMmDEqKSlpsH9xcbHGjh2roUOHqrCwUA888ICmTZumlStX1uu7e/du/frXv9bQoUObcwgAAAAAIElyGGNMc734wIED1a9fPy1ZssTXFh8fr5SUFGVlZdXrP3PmTK1evVo7d+70taWnp2vr1q3Kz8/3tdXW1mrYsGG64447tGHDBn333Xd68803Ldfl9Xrlcrnk8XgUHh7+0wYHAAAAoNVrTDZotpWnmpoaFRQUKDk52a89OTlZmzZtavCc/Pz8ev1HjRqlLVu26MiRI762+fPn65xzztFdd93V9IUDAAAAQAOCm+uFKysrVVtbq8jISL/2yMhIlZeXN3hOeXl5g/2PHj2qyspKde/eXe+//76WLVumoqIiy7VUV1erurra99jr9VofCAAAAACoBTaMcDgcfo+NMfXaTtX/eHtVVZUmTpyoZ599VhEREZZryMrKksvl8h0xMTGNGAEAAAAANOPKU0REhIKCguqtMlVUVNRbXTouKiqqwf7BwcHq2rWrtm/fri+//FLjx4/3PV9XVydJCg4O1meffabzzjuv3uvOnj1bmZmZvsder5cABQAAAKBRmi08hYSEyO12Kzc3V9ddd52vPTc3V7/4xS8aPCcpKUlvvfWWX9vatWuVmJio9u3bq0+fPtq2bZvf8w8++KCqqqr05z//+YSByOl0yul0nuaIAAAAALRlzRaeJCkzM1NpaWlKTExUUlKSnnnmGZWUlCg9PV3SsRWhPXv26KWXXpJ0bGe9hQsXKjMzU1OmTFF+fr6WLVumFStWSJJCQ0OVkJDgd42zzz5bkuq1AwAAAEBTatbwlJqaqn379mn+/PkqKytTQkKCcnJyFBsbK0kqKyvzu+dTXFyccnJyNGPGDC1atEjR0dF66qmndMMNNzRnmQAAAABwSs16n6dAxX2eAAAAAEgBcp8nAAAAADiTEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwIJmD0+LFy9WXFycQkND5Xa7tWHDhpP2z8vLk9vtVmhoqHr37q2lS5f6Pf/ss89q6NCh6ty5szp37qyrrrpKmzdvbs4hAAAAAEDzhqfs7GxlZGRozpw5Kiws1NChQzVmzBiVlJQ02L+4uFhjx47V0KFDVVhYqAceeEDTpk3TypUrfX3effdd3XLLLVq/fr3y8/PVs2dPJScna8+ePc05FAAAAABtnMMYY5rrxQcOHKh+/fppyZIlvrb4+HilpKQoKyurXv+ZM2dq9erV2rlzp68tPT1dW7duVX5+foPXqK2tVefOnbVw4UJNmjTJUl1er1cul0sej0fh4eGNHBUAAACAM0VjskGzrTzV1NSooKBAycnJfu3JycnatGlTg+fk5+fX6z9q1Cht2bJFR44cafCcQ4cO6ciRI+rSpcsJa6murpbX6/U7AAAAAKAxmi08VVZWqra2VpGRkX7tkZGRKi8vb/Cc8vLyBvsfPXpUlZWVDZ4za9YsnXvuubrqqqtOWEtWVpZcLpfviImJaeRoAAAAALR1zb5hhMPh8HtsjKnXdqr+DbVL0hNPPKEVK1Zo1apVCg0NPeFrzp49Wx6Px3eUlpY2ZggAAAAAoODmeuGIiAgFBQXVW2WqqKiot7p0XFRUVIP9g4OD1bVrV7/2P/3pT3r00Ue1bt06XXLJJSetxel0yul0/oRRAAAAAMAxzbbyFBISIrfbrdzcXL/23NxcDRo0qMFzkpKS6vVfu3atEhMT1b59e1/bH//4R/3+97/XmjVrlJiY2PTFAwAAAMCPNOvX9jIzM/Xcc8/p+eef186dOzVjxgyVlJQoPT1d0rGv0/1wh7z09HTt3r1bmZmZ2rlzp55//nktW7ZMv/71r319nnjiCT344IN6/vnn1atXL5WXl6u8vFwHDhxozqEAAAAAaOOa7Wt7kpSamqp9+/Zp/vz5KisrU0JCgnJychQbGytJKisr87vnU1xcnHJycjRjxgwtWrRI0dHReuqpp3TDDTf4+ixevFg1NTW68cYb/a41d+5czZs3rzmHAwAAAKANa9b7PAUq7vMEAAAAQAqQ+zwBAAAAwJmE8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCg2cPT4sWLFRcXp9DQULndbm3YsOGk/fPy8uR2uxUaGqrevXtr6dKl9fqsXLlSffv2ldPpVN++ffXGG280V/kAAAAAIKmZw1N2drYyMjI0Z84cFRYWaujQoRozZoxKSkoa7F9cXKyxY8dq6NChKiws1AMPPKBp06Zp5cqVvj75+flKTU1VWlqatm7dqrS0NN1888368MMPm3MoAAAAANo4hzHGNNeLDxw4UP369dOSJUt8bfHx8UpJSVFWVla9/jNnztTq1au1c+dOX1t6erq2bt2q/Px8SVJqaqq8Xq/+/ve/+/qMHj1anTt31ooVKyzV5fV65XK55PF4FB4e/lOH12SyPyrRP3d+rf0Ha+RwOBQeGixJ8n5/VMYYORwO3/829Fxj+zflawVa/9ZUK+8F7wXvBe9FoPRvTbXyXvBe8F6cOWOLi+ikCQN66vKenWWnxmSD4OYqoqamRgUFBZo1a5Zfe3JysjZt2tTgOfn5+UpOTvZrGzVqlJYtW6YjR46offv2ys/P14wZM+r1WbBgQZPW31JSFm1UUanH7jIAAACAFrX5y/3K3vKV0of11qwx8XaXY0mzfW2vsrJStbW1ioyM9GuPjIxUeXl5g+eUl5c32P/o0aOqrKw8aZ8TvaYkVVdXy+v1+h2BIPujEoITAAAA2rSlebtUWLLf7jIsafYNIxwOh9/j48t0jen/4/bGvmZWVpZcLpfviImJsVx/c9pa+p3dJQAAAAC2K648aHcJljRbeIqIiFBQUFC9FaGKiop6K0fHRUVFNdg/ODhYXbt2PWmfE72mJM2ePVsej8d3lJaW/pQhNblLY862uwQAAADAdnERnewuwZJmC08hISFyu93Kzc31a8/NzdWgQYMaPCcpKale/7Vr1yoxMVHt27c/aZ8TvaYkOZ1OhYeH+x2BILV/T10W47K7DAAAAMA2vxzW2/ZNI6xqtg0jJCkzM1NpaWlKTExUUlKSnnnmGZWUlCg9PV3SsRWhPXv26KWXXpJ0bGe9hQsXKjMzU1OmTFF+fr6WLVvmt4ve9OnT9fOf/1yPP/64fvGLX+ivf/2r1q1bp40bNzbnUJrNm/cNYbc9xsZ7wXvBe8F7wXsRIP1bU628F7wXrX1sgbLbXmM0a3hKTU3Vvn37NH/+fJWVlSkhIUE5OTmKjY2VJJWVlfnd8ykuLk45OTmaMWOGFi1apOjoaD311FO64YYbfH0GDRqkV199VQ8++KB+97vf6bzzzlN2drYGDhzYnENpVqn9eyq1f0+7ywAAAABwEs16n6dAFWj3eQIAAABgj8Zkg2bfbQ8AAAAAzgSEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwoFnD0/79+5WWliaXyyWXy6W0tDR99913Jz3HGKN58+YpOjpaHTp00JVXXqnt27f7nv/22291//3368ILL1THjh3Vs2dPTZs2TR6PpzmHAgAAAKCNa9bwdOutt6qoqEhr1qzRmjVrVFRUpLS0tJOe88QTT+jJJ5/UwoUL9dFHHykqKkpXX321qqqqJEl79+7V3r179ac//Unbtm3Tiy++qDVr1uiuu+5qzqEAAAAAaOMcxhjTHC+8c+dO9e3bVx988IEGDhwoSfrggw+UlJSkf/3rX7rwwgvrnWOMUXR0tDIyMjRz5kxJUnV1tSIjI/X444/rnnvuafBar7/+uiZOnKiDBw8qODj4lLV5vV65XC55PB6Fh4efxigBAAAAtGaNyQbNtvKUn58vl8vlC06SdMUVV8jlcmnTpk0NnlNcXKzy8nIlJyf72pxOp4YNG3bCcyT5Bnqi4FRdXS2v1+t3AAAAAEBjNFt4Ki8vV7du3eq1d+vWTeXl5Sc8R5IiIyP92iMjI094zr59+/T73//+hKtSkpSVleX73ZXL5VJMTIzVYQAAAACApJ8QnubNmyeHw3HSY8uWLZIkh8NR73xjTIPtP/Tj5090jtfr1bhx49S3b1/NnTv3hK83e/ZseTwe31FaWmplqAAAAADgc+ofCP3I1KlTNWHChJP26dWrlz755BN9/fXX9Z775ptv6q0sHRcVFSXp2ApU9+7dfe0VFRX1zqmqqtLo0aN11lln6Y033lD79u1PWI/T6ZTT6TxpzQAAAABwMo0OTxEREYqIiDhlv6SkJHk8Hm3evFkDBgyQJH344YfyeDwaNGhQg+fExcUpKipKubm5uvzyyyVJNTU1ysvL0+OPP+7r5/V6NWrUKDmdTq1evVqhoaGNHQYAAAAANEqz/eYpPj5eo0eP1pQpU/TBBx/ogw8+0JQpU3TNNdf47bTXp08fvfHGG5KOfV0vIyNDjz76qN544w19+umnmjx5sjp27Khbb71V0rEVp+TkZB08eFDLli2T1+tVeXm5ysvLVVtb21zDAQAAANDGNXrlqTGWL1+uadOm+XbPu/baa7Vw4UK/Pp999pnfDW5/+9vf6vDhw7r33nu1f/9+DRw4UGvXrlVYWJgkqaCgQB9++KEk6Wc/+5nfaxUXF6tXr17NOCIAAAAAbVWz3ecpkHGfJwAAAABSgNznCQAAAADOJIQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABc0anvbv36+0tDS5XC65XC6lpaXpu+++O+k5xhjNmzdP0dHR6tChg6688kpt3779hH3HjBkjh8OhN998s+kHAAAAAAD/v2YNT7feequKioq0Zs0arVmzRkVFRUpLSzvpOU888YSefPJJLVy4UB999JGioqJ09dVXq6qqql7fBQsWyOFwNFf5AAAAAOAT3FwvvHPnTq1Zs0YffPCBBg4cKEl69tlnlZSUpM8++0wXXnhhvXOMMVqwYIHmzJmj66+/XpL03//934qMjNQrr7yie+65x9d369atevLJJ/XRRx+pe/fuzTUMAAAAAJDUjCtP+fn5crlcvuAkSVdccYVcLpc2bdrU4DnFxcUqLy9XcnKyr83pdGrYsGF+5xw6dEi33HKLFi5cqKioqOYaAgAAAAD4NNvKU3l5ubp161avvVu3biovLz/hOZIUGRnp1x4ZGandu3f7Hs+YMUODBg3SL37xC0u1VFdXq7q62vfY6/VaOg8AAAAAjmv0ytO8efPkcDhOemzZskWSGvw9kjHmlL9T+vHzPzxn9erVeuedd7RgwQLLNWdlZfk2rXC5XIqJibF8LgAAAABIP2HlaerUqZowYcJJ+/Tq1UuffPKJvv7663rPffPNN/VWlo47/hW88vJyv98xVVRU+M5555139L//+786++yz/c694YYbNHToUL377rv1Xnf27NnKzMz0PfZ6vQQoAAAAAI3S6PAUERGhiIiIU/ZLSkqSx+PR5s2bNWDAAEnShx9+KI/Ho0GDBjV4TlxcnKKiopSbm6vLL79cklRTU6O8vDw9/vjjkqRZs2bp7rvv9jvv4osv1n/+539q/PjxDb6u0+mU0+m0PEYAAAAA+LFm+81TfHy8Ro8erSlTpujpp5+WJP2///f/dM011/jttNenTx9lZWXpuuuuk8PhUEZGhh599FGdf/75Ov/88/Xoo4+qY8eOuvXWWyUdW51qaJOInj17Ki4urrmGAwAAAKCNa7bwJEnLly/XtGnTfLvnXXvttVq4cKFfn88++0wej8f3+Le//a0OHz6se++9V/v379fAgQO1du1ahYWFNWepAAAAAHBSDmOMsbuIlub1euVyueTxeBQeHm53OQAAAABs0phs0Gz3eQIAAACAMwnhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALAg2O4C7GCMkSR5vV6bKwEAAABgp+OZ4HhGOJk2GZ6qqqokSTExMTZXAgAAACAQVFVVyeVynbSPw1iJWGeYuro67d27V2FhYXI4HHaXI6/Xq5iYGJWWlio8PNzuctAKMGfQWMwZNBZzBo3FnEFjBcqcMcaoqqpK0dHRatfu5L9qapMrT+3atVOPHj3sLqOe8PBw/tigUZgzaCzmDBqLOYPGYs6gsQJhzpxqxek4NowAAAAAAAsITwAAAABgAeEpADidTs2dO1dOp9PuUtBKMGfQWMwZNBZzBo3FnEFjtcY50yY3jAAAAACAxmLlCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQnmy2ePFixcXFKTQ0VG63Wxs2bLC7JNggKytL/fv3V1hYmLp166aUlBR99tlnfn2MMZo3b56io6PVoUMHXXnlldq+fbtfn+rqat1///2KiIhQp06ddO211+qrr75qyaHAJllZWXI4HMrIyPC1MWfwY3v27NHEiRPVtWtXdezYUZdddpkKCgp8zzNn8ENHjx7Vgw8+qLi4OHXo0EG9e/fW/PnzVVdX5+vDnMF7772n8ePHKzo6Wg6HQ2+++abf8001R/bv36+0tDS5XC65XC6lpaXpu+++a+bRNcDANq+++qpp3769efbZZ82OHTvM9OnTTadOnczu3bvtLg0tbNSoUeaFF14wn376qSkqKjLjxo0zPXv2NAcOHPD1eeyxx0xYWJhZuXKl2bZtm0lNTTXdu3c3Xq/X1yc9Pd2ce+65Jjc313z88cdm+PDh5tJLLzVHjx61Y1hoIZs3bza9evUyl1xyiZk+fbqvnTmDH/r2229NbGysmTx5svnwww9NcXGxWbdunfn3v//t68OcwQ898sgjpmvXrubtt982xcXF5vXXXzdnnXWWWbBgga8PcwY5OTlmzpw5ZuXKlUaSeeONN/yeb6o5Mnr0aJOQkGA2bdpkNm3aZBISEsw111zTUsP0ITzZaMCAASY9Pd2vrU+fPmbWrFk2VYRAUVFRYSSZvLw8Y4wxdXV1Jioqyjz22GO+Pt9//71xuVxm6dKlxhhjvvvuO9O+fXvz6quv+vrs2bPHtGvXzqxZs6ZlB4AWU1VVZc4//3yTm5trhg0b5gtPzBn82MyZM82QIUNO+DxzBj82btw4c+edd/q1XX/99WbixInGGOYM6vtxeGqqObJjxw4jyXzwwQe+Pvn5+UaS+de//tXMo/LH1/ZsUlNTo4KCAiUnJ/u1Jycna9OmTTZVhUDh8XgkSV26dJEkFRcXq7y83G++OJ1ODRs2zDdfCgoKdOTIEb8+0dHRSkhIYE6dwe677z6NGzdOV111lV87cwY/tnr1aiUmJuqmm25St27ddPnll+vZZ5/1Pc+cwY8NGTJE//znP/X5559LkrZu3aqNGzdq7NixkpgzOLWmmiP5+flyuVwaOHCgr88VV1whl8vV4vMouEWvBp/KykrV1tYqMjLSrz0yMlLl5eU2VYVAYIxRZmamhgwZooSEBEnyzYmG5svu3bt9fUJCQtS5c+d6fZhTZ6ZXX31VH3/8sT766KN6zzFn8GO7du3SkiVLlJmZqQceeECbN2/WtGnT5HQ6NWnSJOYM6pk5c6Y8Ho/69OmjoKAg1dbW6g9/+INuueUWSfydwak11RwpLy9Xt27d6r1+t27dWnweEZ5s5nA4/B4bY+q1oW2ZOnWqPvnkE23cuLHecz9lvjCnzkylpaWaPn261q5dq9DQ0BP2Y87guLq6OiUmJurRRx+VJF1++eXavn27lixZokmTJvn6MWdwXHZ2tl5++WW98soruuiii1RUVKSMjAxFR0fr9ttv9/VjzuBUmmKONNTfjnnE1/ZsEhERoaCgoHppuaKiol46R9tx//33a/Xq1Vq/fr169Ojha4+KipKkk86XqKgo1dTUaP/+/SfsgzNHQUGBKioq5Ha7FRwcrODgYOXl5empp55ScHCw7zNnzuC47t27q2/fvn5t8fHxKikpkcTfGdT3m9/8RrNmzdKECRN08cUXKy0tTTNmzFBWVpYk5gxOranmSFRUlL7++ut6r//NN9+0+DwiPNkkJCREbrdbubm5fu25ubkaNGiQTVXBLsYYTZ06VatWrdI777yjuLg4v+fj4uIUFRXlN19qamqUl5fnmy9ut1vt27f361NWVqZPP/2UOXUGGjlypLZt26aioiLfkZiYqNtuu01FRUXq3bs3cwZ+Bg8eXO8WCJ9//rliY2Ml8XcG9R06dEjt2vn/UzEoKMi3VTlzBqfSVHMkKSlJHo9Hmzdv9vX58MMP5fF4Wn4etej2FPBzfKvyZcuWmR07dpiMjAzTqVMn8+WXX9pdGlrYL3/5S+Nyucy7775rysrKfMehQ4d8fR577DHjcrnMqlWrzLZt28wtt9zS4FafPXr0MOvWrTMff/yxGTFiBNvBtiE/3G3PGOYM/G3evNkEBwebP/zhD+aLL74wy5cvNx07djQvv/yyrw9zBj90++23m3PPPde3VfmqVatMRESE+e1vf+vrw5xBVVWVKSwsNIWFhUaSefLJJ01hYaHv1jtNNUdGjx5tLrnkEpOfn2/y8/PNxRdfzFblbdGiRYtMbGysCQkJMf369fNtTY22RVKDxwsvvODrU1dXZ+bOnWuioqKM0+k0P//5z822bdv8Xufw4cNm6tSppkuXLqZDhw7mmmuuMSUlJS08Gtjlx+GJOdOyPvvsM/OrX/3K9OvXz7hcLtO5c2czaNAg8/rrr9tdms9bb71lEhISjNPpNH369DHPPPOM3/PMGfyQ1+s106dPNz179jShoaGmd+/eZs6cOaa6utrXhzmD9evXN/hvmNtvv90Y03RzZN++fea2224zYWFhJiwszNx2221m//79LTTK/+MwxpiWXesCAODMs3DhQi1atEhpaWnq37+/jh49quzsbP33f/+3Hn74YT300EN2lwgAOE2EJwBAm3fo0CF17NjxtF6jsrJSXbt2rbfz0zXXXKP169fr22+/ldPpPK1rAADsxYYRAICAsX37djkcDr3++uu+toKCAjkcDl100UV+fa+99lq53W7f4+zsbCUnJ6t79+7q0KGD4uPjNWvWLB08eNDvvMmTJ+uss87Stm3blJycrLCwMI0cOVLSsa1wp06dqv/5n/9RfHy8OnbsqEsvvVRvv/32KWuPiIhocMvcAQMG6NChQ/r2228b9V4AAAIP4QkAEDAuuugide/eXevWrfO1rVu3Th06dNCOHTu0d+9eSdLRo0eVl5enq666ytfviy++0NixY7Vs2TKtWbNGGRkZeu211zR+/Ph616mpqdG1116rESNG6K9//asefvhh33N/+9vftHDhQs2fP18rV65Uly5ddN1112nXrl0/aUzr16/XOeec0+ANHgEArQs3yQUABJSRI0fWC08TJ07UX/7yF61bt06TJk3S5s2b5fV6/cLTgw8+6Pt/G2M0ePBgxcfHa9iwYfrkk090ySWX+J4/cuSIHnroId1xxx31rn/48GGtW7dOYWFhkqR+/fopOjpar732mmbNmtWosTz33HN699139ec//1lBQUGNOhcAEHhYeQIABJSRI0dq165dKi4u1vfff6+NGzdq9OjRGj58uO8+IOvWrZPT6dSQIUN85+3atUu33nqroqKiFBQUpPbt22vYsGGSpJ07d9a7zg033NDg9YcPH+4LTpIUGRmpbt26affu3Y0ax9///nfdd999uvHGG3X//fc36lwAQGBi5QkAEFCOryatW7dOcXFxOnLkiEaMGKGvv/5av//9733PDR48WB06dJAkHThwQEOHDlVoaKgeeeQRXXDBBerYsaNKS0t1/fXX6/Dhw37X6Nixo8LDwxu8fteuXeu1OZ3Oeq9xMv/4xz90/fXX6+qrr9by5csb/C0UAKD1ITwBAAJKjx49dMEFF2jdunXq1auXEhMTdfbZZ2vkyJG699579eGHH+qDDz7w+53SO++8o7179+rdd9/1rTZJ0nfffdfgNZozzPzjH/9QSkqKhg0bppUrVyokJKTZrgUAaFmEJwBAwLnqqqv02muvKSYmRuPGjZMkXXDBBerZs6ceeughHTlyxO/3TsfD0I+3An/66adbrmhJa9euVUpKioYMGaI333yTrckB4AxDeAIABJyRI0dq8eLFqqys1IIFC/zaX3jhBXXu3Nlvm/JBgwapc+fOSk9P19y5c9W+fXstX75cW7dubbGaN27cqJSUFEVFRemBBx5QUVGR3/N9+/Y94VcFAQCtAxtGAAACzogRI9SuXTt16tRJSUlJvvbjq03Dhw9Xu3b/93/Cunbtqr/97W/q2LGjJk6cqDvvvFNnnXWWsrOzW6zmdevW6fDhw/ryyy81YsQIJSUl+R0ff/xxi9UCAGgeDmOMsbsIAAAAAAh0rDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAAC9rkTXLr6uq0d+9ehYWF+e5KDwAAAKDtMcaoqqpK0dHRfvcQbEibDE979+5VTEyM3WUAAAAACBClpaXq0aPHSfu0yfAUFhYm6dgbFB4ebnM1AAAAAOzi9XoVExPjywgn0ybD0/Gv6oWHhxOeAAAAAFj6OQ8bRgAAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwIJmD0+LFy9WXFycQkND5Xa7tWHDhpP2z8vLk9vtVmhoqHr37q2lS5eesO+rr74qh8OhlJSUJq4aAAAAAPw1a3jKzs5WRkaG5syZo8LCQg0dOlRjxoxRSUlJg/2Li4s1duxYDR06VIWFhXrggQc0bdo0rVy5sl7f3bt369e//rWGDh3anEMAAAAAAEmSwxhjmuvFBw4cqH79+mnJkiW+tvj4eKWkpCgrK6te/5kzZ2r16tXauXOnry09PV1bt25Vfn6+r622tlbDhg3THXfcoQ0bNui7777Tm2++abkur9crl8slj8ej8PDwnzY4AAAAAK1eY7JBs6081dTUqKCgQMnJyX7tycnJ2rRpU4Pn5Ofn1+s/atQobdmyRUeOHPG1zZ8/X+ecc47uuuuupi8cAAAAABoQ3FwvXFlZqdraWkVGRvq1R0ZGqry8vMFzysvLG+x/9OhRVVZWqnv37nr//fe1bNkyFRUVWa6lurpa1dXVvsder9f6QAAAAABALbBhhMPh8HtsjKnXdqr+x9urqqo0ceJEPfvss4qIiLBcQ1ZWllwul++IiYlpxAgAAAAAoBlXniIiIhQUFFRvlamioqLe6tJxUVFRDfYPDg5W165dtX37dn355ZcaP3687/m6ujpJUnBwsD777DOdd9559V539uzZyszM9D32er0EKAAAAACN0mzhKSQkRG63W7m5ubruuut87bm5ufrFL37R4DlJSUl66623/NrWrl2rxMREtW/fXn369NG2bdv8nn/wwQdVVVWlP//5zycMRE6nU06n8zRHBAAAAKAta7bwJEmZmZlKS0tTYmKikpKS9Mwzz6ikpETp6emSjq0I7dmzRy+99JKkYzvrLVy4UJmZmZoyZYry8/O1bNkyrVixQpIUGhqqhIQEv2ucffbZklSvHQAAAACaUrOGp9TUVO3bt0/z589XWVmZEhISlJOTo9jYWElSWVmZ3z2f4uLilJOToxkzZmjRokWKjo7WU089pRtuuKE5ywQAAACAU2rW+zwFKu7zBAAAAEAKkPs8AQAAAMCZhPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFhCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABY0e3havHix4uLiFBoaKrfbrQ0bNpy0f15entxut0JDQ9W7d28tXbrU7/lnn31WQ4cOVefOndW5c2ddddVV2rx5c3MOAQAAAACaNzxlZ2crIyNDc+bMUWFhoYYOHaoxY8aopKSkwf7FxcUaO3ashg4dqsLCQj3wwAOaNm2aVq5c6evz7rvv6pZbbtH69euVn5+vnj17Kjk5WXv27GnOoQAAAABo4xzGGNNcLz5w4ED169dPS5Ys8bXFx8crJSVFWVlZ9frPnDlTq1ev1s6dO31t6enp2rp1q/Lz8xu8Rm1trTp37qyFCxdq0qRJluryer1yuVzyeDwKDw9v5KgAAAAAnCkakw2abeWppqZGBQUFSk5O9mtPTk7Wpk2bGjwnPz+/Xv9Ro0Zpy5YtOnLkSIPnHDp0SEeOHFGXLl1OWEt1dbW8Xq/fAQAAAACN0WzhqbKyUrW1tYqMjPRrj4yMVHl5eYPnlJeXN9j/6NGjqqysbPCcWbNm6dxzz9VVV111wlqysrLkcrl8R0xMTCNHAwAAAKCta/YNIxwOh99jY0y9tlP1b6hdkp544gmtWLFCq1atUmho6Alfc/bs2fJ4PL6jtLS0MUMAAAAAAAU31wtHREQoKCio3ipTRUVFvdWl46KiohrsHxwcrK5du/q1/+lPf9Kjjz6qdevW6ZJLLjlpLU6nU06n8yeMAgAAAACOabaVp5CQELndbuXm5vq15+bmatCgQQ2ek5SUVK//2rVrlZiYqPbt2/va/vjHP+r3v/+91qxZo8TExKYvHgAAAAB+pFm/tpeZmannnntOzz//vHbu3KkZM2aopKRE6enpko59ne6HO+Slp6dr9+7dyszM1M6dO/X8889r2bJl+vWvf+3r88QTT+jBBx/U888/r169eqm8vFzl5eU6cOBAcw4FAAAAQBvXbF/bk6TU1FTt27dP8+fPV1lZmRISEpSTk6PY2FhJUllZmd89n+Li4pSTk6MZM2Zo0aJFio6O1lNPPaUbbrjB12fx4sWqqanRjTfe6HetuXPnat68ec05HAAAAABtWLPe5ylQcZ8nAAAAAFKA3OcJAAAAAM4khCcAAAAAsIDwBAAAAAAWEJ4AAAAAwALCEwAAAABYQHgCAAAAAAsITwAAAABgAeEJAAAAACwgPAEAAACABYQnAAAAALCA8AQAAAAAFhCeAAAAAMACwhMAAAAAWEB4AgAAAAALCE8AAAAAYAHhCQAAAAAsIDwBAAAAgAWEJwAAAACwgPAEAAAAABYQngAAAADAAsITAAAAAFhAeAIAAAAACwhPAAAAAGAB4QkAAAAALCA8AQAAAIAFzR6eFi9erLi4OIWGhsrtdmvDhg0n7Z+Xlye3263Q0FD17t1bS5curddn5cqV6tu3r5xOp/r27as33nijucoHAAAAAEnNHJ6ys7OVkZGhOXPmqLCwUEOHDtWYMWNUUlLSYP/i4mKNHTtWQ4cOVWFhoR544AFNmzZNK1eu9PXJz89Xamqq0tLStHXrVqWlpenmm2/Whx9+2JxDAQAAANDGOYwxprlefODAgerXr5+WLFnia4uPj1dKSoqysrLq9Z85c6ZWr16tnTt3+trS09O1detW5efnS5JSU1Pl9Xr197//3ddn9OjR6ty5s1asWGGpLq/XK5fLJY/Ho/Dw8J86vCaT/VGJ/rnza+0/WCOHw6Hw0GBJkvf7ozLGyOFw+P63oeca278pXyvQ+remWnkveC94L3gvAqV/a6qV94L3gvfizBlbXEQnTRjQU5f37Cw7NSYbBDdXETU1NSooKNCsWbP82pOTk7Vp06YGz8nPz1dycrJf26hRo7Rs2TIdOXJE7du3V35+vmbMmFGvz4IFC5q0/paSsmijiko9dpcBAAAAtKjNX+5X9pavlD6st2aNibe7HEua7Wt7lZWVqq2tVWRkpF97ZGSkysvLGzynvLy8wf5Hjx5VZWXlSfuc6DUlqbq6Wl6v1+8IBNkflRCcAAAA0KYtzdulwpL9dpdhSbNvGOFwOPweH1+ma0z/H7c39jWzsrLkcrl8R0xMjOX6m9PW0u/sLgEAAACwXXHlQbtLsKTZwlNERISCgoLqrQhVVFTUWzk6LioqqsH+wcHB6tq160n7nOg1JWn27NnyeDy+o7S09KcMqcldGnO23SUAAAAAtouL6GR3CZY0W3gKCQmR2+1Wbm6uX3tubq4GDRrU4DlJSUn1+q9du1aJiYlq3779Sfuc6DUlyel0Kjw8/P9r7+6Do6ruP45/FgJLguG2mkmWlQRCZQgYrBQkJKWGPhhTQWx1OjyuOFUqaiAhMwUsdsjYSsDpUMaJD5VhbDvi4DgCpR0mQxCNMnnCQCSAYh9SoMASimE3FZpUcn5/+OP+2GwS7vbHZgN5v2b2j733ey7nLN/J5DM3e27Iqy+YfVea7ky1Yj0NAAAAIGaeyB0d800jnIrahhGSVFxcLJ/Pp8mTJys7O1uvvvqqjh8/rsWLF0v68o7QyZMn9fvf/17SlzvrlZWVqbi4WIsWLVJ1dbU2bdoUsoteYWGh7r77bq1bt04PPPCA/vCHP2j37t3au3dvNJcSNdufmsZue6yNz4LPgs+Cz4LPoo/UX09z5bPgs7je19ZXdtuLRFTD0+zZs3Xu3Dk9++yzOn36tDIzM7Vz506NHDlSknT69OmQZz6lp6dr586dWrZsmV588UV5vV698MILeuihh+yanJwcbdmyRc8884x+/vOf62tf+5refPNNZWVlRXMpUTX7rjTNvist1tMAAAAA0IOoPuepr+prz3kCAAAAEBuRZIOo77YHAAAAADcCwhMAAAAAOEB4AgAAAAAHCE8AAAAA4ADhCQAAAAAcIDwBAAAAgAOEJwAAAABwgPAEAAAAAA4QngAAAADAAcITAAAAADhAeAIAAAAABwhPAAAAAOAA4QkAAAAAHCA8AQAAAIADhCcAAAAAcIDwBAAAAAAOEJ4AAAAAwAHCEwAAAAA4QHgCAAAAAAcITwAAAADgAOEJAAAAABwgPAEAAACAA4QnAAAAAHCA8AQAAAAADhCeAAAAAMABwhMAAAAAOBDV8NTS0iKfzyfLsmRZlnw+n86fP9/jGGOMSkpK5PV6FR8fr+nTp+vw4cP2+c8++0xLlizR2LFjlZCQoLS0NC1dulSBQCCaSwEAAADQz0U1PM2bN08NDQ0qLy9XeXm5Ghoa5PP5ehzz/PPPa/369SorK9O+ffvk8Xh0zz33qLW1VZJ06tQpnTp1Sr/61a/U2Nio3/72tyovL9ejjz4azaUAAAAA6OdcxhgTjQt//PHHGj9+vGpqapSVlSVJqqmpUXZ2tj755BONHTs2bIwxRl6vV0VFRVqxYoUkqa2tTSkpKVq3bp0ef/zxLv+tt956SwsWLNDnn3+uuLi4q84tGAzKsiwFAgENGzbs/7FKAAAAANezSLJB1O48VVdXy7IsOzhJ0tSpU2VZlqqqqroc09TUJL/fr7y8PPuY2+1Wbm5ut2Mk2QvtLji1tbUpGAyGvAAAAAAgElELT36/X8nJyWHHk5OT5ff7ux0jSSkpKSHHU1JSuh1z7tw5/eIXv+j2rpQklZaW2t+7sixLqampTpcBAAAAAJL+i/BUUlIil8vV4+vDDz+UJLlcrrDxxpguj1+p8/nuxgSDQc2YMUPjx4/X6tWru73e008/rUAgYL9OnDjhZKkAAAAAYLv6F4Q6KSgo0Jw5c3qsGTVqlA4ePKgzZ86EnTt79mzYnaXLPB6PpC/vQA0fPtw+3tzcHDamtbVV+fn5uummm7Rt2zYNGjSo2/m43W653e4e5wwAAAAAPYk4PCUlJSkpKemqddnZ2QoEAqqrq9OUKVMkSbW1tQoEAsrJyelyTHp6ujwejyoqKjRx4kRJUnt7uyorK7Vu3Tq7LhgM6t5775Xb7daOHTs0ZMiQSJcBAAAAABGJ2neexo0bp/z8fC1atEg1NTWqqanRokWLNHPmzJCd9jIyMrRt2zZJX/65XlFRkdasWaNt27bp0KFDeuSRR5SQkKB58+ZJ+vKOU15enj7//HNt2rRJwWBQfr9ffr9fly5ditZyAAAAAPRzEd95isTmzZu1dOlSe/e8WbNmqaysLKTm6NGjIQ+4Xb58uS5evKgnn3xSLS0tysrK0q5du5SYmChJqq+vV21trSTptttuC7lWU1OTRo0aFcUVAQAAAOivovacp76M5zwBAAAAkPrIc54AAAAA4EZCeAIAAAAABwhPAAAAAOAA4QkAAAAAHCA8AQAAAIADhCcAAAAAcIDwBAAAAAAOEJ4AAAAAwAHCEwAAAAA4QHgCAAAAAAcITwAAAADgAOEJAAAAABwgPAEAAACAA4QnAAAAAHCA8AQAAAAADhCeAAAAAMABwhMAAAAAOEB4AgAAAAAHCE8AAAAA4ADhCQAAAAAcIDwBAAAAgAOEJwAAAABwgPAEAAAAAA4QngAAAADAAcITAAAAADgQ1fDU0tIin88ny7JkWZZ8Pp/Onz/f4xhjjEpKSuT1ehUfH6/p06fr8OHD3dZ+//vfl8vl0vbt26/9AgAAAADgf0U1PM2bN08NDQ0qLy9XeXm5Ghoa5PP5ehzz/PPPa/369SorK9O+ffvk8Xh0zz33qLW1Nax2w4YNcrlc0Zo+AAAAANjionXhjz/+WOXl5aqpqVFWVpYkaePGjcrOztbRo0c1duzYsDHGGG3YsEGrVq3Sgw8+KEn63e9+p5SUFL3xxht6/PHH7dqPPvpI69ev1759+zR8+PBoLQMAAAAAJEXxzlN1dbUsy7KDkyRNnTpVlmWpqqqqyzFNTU3y+/3Ky8uzj7ndbuXm5oaMuXDhgubOnauysjJ5PJ5oLQEAAAAAbFG78+T3+5WcnBx2PDk5WX6/v9sxkpSSkhJyPCUlRceOHbPfL1u2TDk5OXrggQcczaWtrU1tbW32+2Aw6GgcAAAAAFwW8Z2nkpISuVyuHl8ffvihJHX5fSRjzFW/p9T5/JVjduzYoT179mjDhg2O51xaWmpvWmFZllJTUx2PBQAAAADpv7jzVFBQoDlz5vRYM2rUKB08eFBnzpwJO3f27NmwO0uXXf4TPL/fH/I9pubmZnvMnj179Ne//lVf+cpXQsY+9NBD+ta3vqX33nsv7LpPP/20iouL7ffBYJAABQAAACAiEYenpKQkJSUlXbUuOztbgUBAdXV1mjJliiSptrZWgUBAOTk5XY5JT0+Xx+NRRUWFJk6cKElqb29XZWWl1q1bJ0lauXKlHnvssZBxEyZM0K9//Wvdf//9XV7X7XbL7XY7XiMAAAAAdBa17zyNGzdO+fn5WrRokX7zm99Ikn7yk59o5syZITvtZWRkqLS0VD/84Q/lcrlUVFSkNWvWaMyYMRozZozWrFmjhIQEzZs3T9KXd6e62iQiLS1N6enp0VoOAAAAgH4uauFJkjZv3qylS5fau+fNmjVLZWVlITVHjx5VIBCw3y9fvlwXL17Uk08+qZaWFmVlZWnXrl1KTEyM5lQBAAAAoEcuY4yJ9SR6WzAYlGVZCgQCGjZsWKynAwAAACBGIskGUXvOEwAAAADcSAhPAAAAAOAA4QkAAAAAHCA8AQAAAIADhCcAAAAAcIDwBAAAAAAOEJ4AAAAAwAHCEwAAAAA4QHgCAAAAAAcITwAAAADgAOEJAAAAABwgPAEAAACAA4QnAAAAAHCA8AQAAAAADhCeAAAAAMABwhMAAAAAOEB4AgAAAAAHCE8AAAAA4ADhCQAAAAAcIDwBAAAAgANxsZ5ALBhjJEnBYDDGMwEAAAAQS5czweWM0JN+GZ5aW1slSampqTGeCQAAAIC+oLW1VZZl9VjjMk4i1g2mo6NDp06dUmJiolwuV6yno2AwqNTUVJ04cULDhg2L9XRwHaBnECl6BpGiZxApegaR6is9Y4xRa2urvF6vBgzo+VtN/fLO04ABAzRixIhYTyPMsGHD+GGDiNAziBQ9g0jRM4gUPYNI9YWeudodp8vYMAIAAAAAHCA8AQAAAIADhKc+wO12a/Xq1XK73bGeCq4T9AwiRc8gUvQMIkXPIFLXY8/0yw0jAAAAACBS3HkCAAAAAAcITwAAAADgAOEJAAAAABwgPAEAAACAA4SnGHvppZeUnp6uIUOGaNKkSfrggw9iPSXEQGlpqe666y4lJiYqOTlZP/jBD3T06NGQGmOMSkpK5PV6FR8fr+nTp+vw4cMhNW1tbVqyZImSkpI0dOhQzZo1S//4xz96cymIkdLSUrlcLhUVFdnH6Bl0dvLkSS1YsEC33HKLEhISdOedd6q+vt4+T8/gSl988YWeeeYZpaenKz4+XqNHj9azzz6rjo4Ou4aewfvvv6/7779fXq9XLpdL27dvDzl/rXqkpaVFPp9PlmXJsiz5fD6dP38+yqvrgkHMbNmyxQwaNMhs3LjRHDlyxBQWFpqhQ4eaY8eOxXpq6GX33nuvee2118yhQ4dMQ0ODmTFjhklLSzP/+te/7Jq1a9eaxMRE8/bbb5vGxkYze/ZsM3z4cBMMBu2axYsXm1tvvdVUVFSY/fv3m29/+9vm61//uvniiy9isSz0krq6OjNq1Chzxx13mMLCQvs4PYMrffbZZ2bkyJHmkUceMbW1taapqcns3r3b/OUvf7Fr6Blc6Ze//KW55ZZbzJ/+9CfT1NRk3nrrLXPTTTeZDRs22DX0DHbu3GlWrVpl3n77bSPJbNu2LeT8teqR/Px8k5mZaaqqqkxVVZXJzMw0M2fO7K1l2ghPMTRlyhSzePHikGMZGRlm5cqVMZoR+orm5mYjyVRWVhpjjOno6DAej8esXbvWrvn3v/9tLMsyr7zyijHGmPPnz5tBgwaZLVu22DUnT540AwYMMOXl5b27APSa1tZWM2bMGFNRUWFyc3Pt8ETPoLMVK1aYadOmdXuenkFnM2bMMD/+8Y9Djj344INmwYIFxhh6BuE6h6dr1SNHjhwxkkxNTY1dU11dbSSZTz75JMqrCsWf7cVIe3u76uvrlZeXF3I8Ly9PVVVVMZoV+opAICBJuvnmmyVJTU1N8vv9If3idruVm5tr90t9fb3+85//hNR4vV5lZmbSUzewp556SjNmzND3vve9kOP0DDrbsWOHJk+erB/96EdKTk7WxIkTtXHjRvs8PYPOpk2bpnfeeUeffvqpJOmjjz7S3r17dd9990miZ3B116pHqqurZVmWsrKy7JqpU6fKsqxe76O4Xv3XYPvnP/+pS5cuKSUlJeR4SkqK/H5/jGaFvsAYo+LiYk2bNk2ZmZmSZPdEV/1y7Ngxu2bw4MH66le/GlZDT92YtmzZov3792vfvn1h5+gZdPa3v/1NL7/8soqLi/Wzn/1MdXV1Wrp0qdxutx5++GF6BmFWrFihQCCgjIwMDRw4UJcuXdJzzz2nuXPnSuLnDK7uWvWI3+9XcnJy2PWTk5N7vY8ITzHmcrlC3htjwo6hfykoKNDBgwe1d+/esHP/Tb/QUzemEydOqLCwULt27dKQIUO6raNncFlHR4cmT56sNWvWSJImTpyow4cP6+WXX9bDDz9s19EzuOzNN9/U66+/rjfeeEO33367GhoaVFRUJK/Xq4ULF9p19Ayu5lr0SFf1segj/mwvRpKSkjRw4MCwtNzc3ByWztF/LFmyRDt27NC7776rESNG2Mc9Ho8k9dgvHo9H7e3tamlp6bYGN476+no1Nzdr0qRJiouLU1xcnCorK/XCCy8oLi7O/j+nZ3DZ8OHDNX78+JBj48aN0/HjxyXxcwbhfvrTn2rlypWaM2eOJkyYIJ/Pp2XLlqm0tFQSPYOru1Y94vF4dObMmbDrnz17ttf7iPAUI4MHD9akSZNUUVERcryiokI5OTkxmhVixRijgoICbd26VXv27FF6enrI+fT0dHk8npB+aW9vV2Vlpd0vkyZN0qBBg0JqTp8+rUOHDtFTN6Dvfve7amxsVENDg/2aPHmy5s+fr4aGBo0ePZqeQYhvfvObYY9A+PTTTzVy5EhJ/JxBuAsXLmjAgNBfFQcOHGhvVU7P4GquVY9kZ2crEAiorq7OrqmtrVUgEOj9PurV7SkQ4vJW5Zs2bTJHjhwxRUVFZujQoebvf/97rKeGXvbEE08Yy7LMe++9Z06fPm2/Lly4YNesXbvWWJZltm7dahobG83cuXO73OpzxIgRZvfu3Wb//v3mO9/5DtvB9iNX7rZnDD2DUHV1dSYuLs4899xz5s9//rPZvHmzSUhIMK+//rpdQ8/gSgsXLjS33nqrvVX51q1bTVJSklm+fLldQ8+gtbXVHDhwwBw4cMBIMuvXrzcHDhywH71zrXokPz/f3HHHHaa6utpUV1ebCRMmsFV5f/Tiiy+akSNHmsGDB5tvfOMb9tbU6F8kdfl67bXX7JqOjg6zevVq4/F4jNvtNnfffbdpbGwMuc7FixdNQUGBufnmm018fLyZOXOmOX78eC+vBrHSOTzRM+jsj3/8o8nMzDRut9tkZGSYV199NeQ8PYMrBYNBU1hYaNLS0syQIUPM6NGjzapVq0xbW5tdQ8/g3Xff7fJ3mIULFxpjrl2PnDt3zsyfP98kJiaaxMREM3/+fNPS0tJLq/w/LmOM6d17XQAAAABw/eE7TwAAAADgAOEJAAAAABwgPAEAAACAA4QnAAAAAHCA8AQAAAAADhCeAAAAAMABwhMAAAAAOEB4AgAAAAAHCE8AAAAA4ADhCQAAAAAcIDwBAAAAgAOEJwAAAABw4H8AR93v3NyZ37EAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = 50000 + 70000 + 3000\n",
    "end = start + 1000\n",
    "\n",
    "num_rows = 4\n",
    "fig, axs = plt.subplots(nrows=num_rows, ncols=1, figsize=(10,3 * num_rows))\n",
    "\n",
    "numerical_values0 = convert_values(df['BATT_PACK_1_FAULT'][start:end])\n",
    "numerical_values1 = convert_values(df['BATT_PACK_1_WARN'][start:end])\n",
    "\n",
    "numerical_values2 = convert_values(df['BATT_PACK_7_FAULT'][start:end])\n",
    "numerical_values3 = convert_values(df['BATT_PACK_7_WARN'][start:end])\n",
    "\n",
    "axs[0].scatter(range(len(numerical_values0)), numerical_values0, s=10)\n",
    "axs[0].set_title(\"fault 1\")\n",
    "\n",
    "axs[1].scatter(range(len(numerical_values1)), numerical_values1, s=10)\n",
    "axs[1].set_title(\"warn 1\")\n",
    "\n",
    "axs[2].scatter(range(len(numerical_values2)), numerical_values2, s=10)\n",
    "axs[2].set_title(\"fault 2\")\n",
    "\n",
    "axs[3].scatter(range(len(numerical_values3)), numerical_values3, s=10)\n",
    "axs[3].set_title(\"warn 2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f6d7ae55ae0>"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df['PACK1_CRIDATA_CURR'].cast(pl.Float64).fill_null(0))\n",
    "plt.scatter(range(len(numerical_values0)), numerical_values0, color=\"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'voltage')"
      ]
     },
     "execution_count": 214,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "stepper = 0\n",
    "start = 116300 + stepper\n",
    "end = start + 100 + stepper\n",
    "# start = 0\n",
    "# end = len(df)\n",
    "#\n",
    "\n",
    "num_rows = 2\n",
    "fig, axs = plt.subplots(nrows=num_rows, ncols=1, figsize=(10,3 * num_rows))\n",
    "\n",
    "numerical_values0 = convert_values(df['BATT_PACK_1_FAULT'][start:end])\n",
    "numerical_values1 = df['PACK1_CRIDATA_SOH'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "axs[0].scatter(range(len(numerical_values0)), numerical_values0, s=10)\n",
    "axs[0].set_title(\"fault\")\n",
    "axs[1].scatter(range(len(numerical_values1)), numerical_values1, s=10)\n",
    "axs[1].set_title(\"voltage\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# identify train and test regions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import polars as pl\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from io import StringIO\n",
    "import math\n",
    "df = pl.read_csv('output.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert_values(values):\n",
    "    numerical_values = []\n",
    "    for value in values:\n",
    "        if value == 'False':\n",
    "            numerical_values.append(0)\n",
    "        elif value == 'True':\n",
    "            numerical_values.append(1)\n",
    "        else:\n",
    "            # numerical_values.append(np.nan)\n",
    "            numerical_values.append(-1)\n",
    "    return numerical_values\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fe32e9c24d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fault = convert_values(df['BATT_PACK_1_FAULT'])\n",
    "plt.scatter(range(len(fault)), fault)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fe3301f9f30>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = 170000\n",
    "end = len(df)\n",
    "window = fault[start:end]\n",
    "plt.scatter(range(len(window)), window)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'batt room temp')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYNKgQSk/P1+pqalyOBxyOBxKTU1VQUFBpffbvXu3xo0bJ4fDobCwMA0aNEj79++v/wYDAAAA8EsNGpQmTpyorKwsZWZmKjMzU1lZWUpNTfV5n//+978aMmSIevTooc8++0xffvmlHnroIbVu3bqBWg0AAADA39gMwzAa4ol2796tXr16af369Ro4cKAkaf369UpKStLXX3+t7t27e73f9ddfr6CgIL3xxhs1fu7CwkI5HA65XC6Fh4fX+HEAAAAANG9VzQYN1qO0bt06ORwOd0iSpEGDBsnhcGjt2rVe71NeXq4PPvhAF1xwgUaPHq3o6GgNHDhQ7777rs/nKi4uVmFhoccNAAAAAKqqwYJSbm6uoqOjK5RHR0crNzfX633y8vJ0/PhxzZ8/X2PGjNHKlSt1zTXX6Nprr9Xq1astnys9Pd19HZTD4VBcXFydvQ4AAAAALV+tg9LcuXNls9l83jZv3ixJstlsFe5vGIbXculMj5IkXXXVVbr33nt10UUXadasWUpJSdFLL71k2abZs2fL5XK5bzk5ObV9mQAAAAD8SGBtH2DatGm6/vrrfdbp0qWLvvrqKx0+fLjCsiNHjigmJsbr/aKiohQYGKhevXp5lPfs2VNr1qyxfD673S673V6F1gMAAABARbUOSlFRUYqKiqq0XlJSklwulzZu3KhLL71UkrRhwwa5XC4NHjzY632Cg4M1YMAA7dmzx6P8m2++UefOnWvbdAAAAADwqsGuUerZs6fGjBmjyZMna/369Vq/fr0mT56slJQUjxHvevTooeXLl7v/f+CBB7Rs2TK9+uqr+u677/T888/rvffe09SpUxuq6QAAAAD8TIPOo7RkyRL16dNHycnJSk5OVt++fSsM+71nzx65XC73/9dcc41eeuklPf744+rTp4/+/ve/6+2339aQIUMasukAAAAA/EiDzaPUmJhHCQAAAIDUBOdRAgAAAIDmgqAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJg0aFDKz89XamqqHA6HHA6HUlNTVVBQ4PM+x48f17Rp09SpUyeFhISoZ8+eWrhwYcM0GAAAAIBfatCgNHHiRGVlZSkzM1OZmZnKyspSamqqz/vce++9yszM1OLFi7V7927de++9uvvuu/XPf/6zgVoNAAAAwN80WFDavXu3MjMz9fe//11JSUlKSkrSq6++qvfff1979uyxvN+6det0yy23aNiwYerSpYvuuOMOXXjhhdq8eXNDNR0AAACAn2mwoLRu3To5HA4NHDjQXTZo0CA5HA6tXbvW8n5DhgzRihUr9MMPP8gwDH366af65ptvNHr06IZoNgAAAAA/FNhQT5Sbm6vo6OgK5dHR0crNzbW837PPPqvJkyerU6dOCgwMVKtWrfT3v/9dQ4YMsbxPcXGxiouL3f8XFhbWrvEAAAAA/Eqte5Tmzp0rm83m83b2NDmbzVbh/oZheC0/69lnn9X69eu1YsUKbdmyRU8++aSmTp2qjz/+2PI+6enp7gEjHA6H4uLiavsyAQAAAPgRm2EYRm0e4OjRozp69KjPOl26dNGbb76pGTNmVBjlrm3btnr66ac1adKkCvcrKiqSw+HQ8uXLNXbsWHf57373Ox04cECZmZlen89bj1JcXJxcLpfCw8Or8eoAAAAAtCSFhYVyOByVZoNan3oXFRWlqKioSuslJSXJ5XJp48aNuvTSSyVJGzZskMvl0uDBg73ep7S0VKWlpWrVyrPjKyAgQOXl5ZbPZbfbZbfbq/EqAAAAAOBnDTaYQ8+ePTVmzBhNnjxZ69ev1/r16zV58mSlpKSoe/fu7no9evTQ8uXLJUnh4eEaOnSoHnjgAX322WfKzs5WRkaG/t//+3+65pprGqrpAAAAAPxMgw3mIElLlizR9OnTlZycLEkaN26cnn/+eY86e/bskcvlcv+/dOlSzZ49WzfeeKN++uknde7cWY899pjuvPPOhmw6AAAAAD9S62uUmoOqnocIAAAAoGWrajZosFPvAAAAAKC5ICgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwadCg9Nhjj2nw4MEKDQ1V27Ztq3QfwzA0d+5cOZ1OhYSEaNiwYdq5c2f9NhQAAACAXwtsyCcrKSnRb3/7WyUlJem1116r0n0ef/xxPfXUU8rIyNAFF1ygRx99VKNGjdKePXsUFhZWzy2ue11mfdDYTUATtXf+2MZuQp3btj9fn+3JkyQN6x6tfvHtGrlFTUNL2Q5MuKSTlm0+UGk9X+v2sk379fravTpVWqbL+3TQA6N7eK23bX++so+eUEJUG9ajFmLZpv36MqdAF8a11YQB8Y3dHNRQTb6blW0DW+LvIZonm2EYRkM/aUZGhtLS0lRQUOCznmEYcjqdSktL08yZMyVJxcXFiomJ0YIFCzRlypQqPV9hYaEcDodcLpfCw8Nr2/waayk7R6g/LenHYf6/duul1d97lN05tKtmXd6zkVrUNPjrdsDbun31C2uUlePyKGsfFqxNc0Z5lJnXJdaj5s/82V8U59C7dw1pxBahJmry3azqNrAl/R6i6alqNmjS1yhlZ2crNzdXycnJ7jK73a6hQ4dq7dq1lvcrLi5WYWGhx62x+evOEaqnpawn2/bnVwhJkvTS6u+1bX9+I7SoaWgpn29NmF/7sk37K4QkSTpyrERPfPS1+39v65K/r0fNnbfPPivHpWWb9jdSi1ATNfluVmcb6M/bSzQdTToo5ebmSpJiYmI8ymNiYtzLvElPT5fD4XDf4uLi6rWdADxlHz1Ro2XwH1/mFFgu27rv5x0tq/WF9aj5svrsfa0TaHr4bsIf1DoozZ07Vzabzedt8+bNtXoOm83m8b9hGBXKzjV79my5XC73LScnp1bPD6B6EqLa1GgZ/MeFcW0tl13c+efrHKzWF9aj5svqs/e1TqDp4bsJf1DroDRt2jTt3r3b5y0xMbFGjx0bGytJFXqP8vLyKvQynctutys8PNzj1tg41xZV0VLWk37x7XTn0K4Vyn8/tKtfX4jfUj7fmjC/9gkD4nVRnKNCveiwYI8BHbytS/6+HjV33j77fnEOBnRoZmry3azONtCft5doOprFYA733nuvHnzwQUlnRs6Ljo5uloM5SJxzC2st8UeBUe+8aynbAUa9Q20w6l3LwKh3aI6qmg0aNCjt379fP/30k1asWKEnnnhCX3zxhSTpF7/4hc477zxJUo8ePZSenq5rrrlGkrRgwQKlp6dr0aJF6tatm+bNm6fPPvusWsODN6WgBAAAAKDxVDUbNOg8Sn/605/0+uuvu//v16+fJOnTTz/VsGHDJEl79uyRy/XzaDgPPvigioqKNHXqVOXn52vgwIFauXJls5xDCQAAAEDz0Cin3jU0epQAAAAASC1kHiUAAAAAaAwNeupdYznbadYUJp4FAAAA0HjOZoLKTqzzi6B07NgxSWLiWQAAAACSzmQEh6PiVBVn+cU1SuXl5Tp48KDCwsJ8TlTbEAoLCxUXF6ecnByul0IFrB+wwroBX1g/YIV1A7746/phGIaOHTsmp9OpVq2sr0Tyix6lVq1aqVOnTo3dDA9NZSJcNE2sH7DCugFfWD9ghXUDvvjj+uGrJ+ksBnMAAAAAABOCEgAAAACYEJQamN1u15///GfZ7fbGbgqaINYPWGHdgC+sH7DCugFfWD9884vBHAAAAACgOuhRAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgSlBvbiiy8qISFBrVu3Vv/+/fXFF180dpNQC+np6RowYIDCwsIUHR2tq6++Wnv27PGoYxiG5s6dK6fTqZCQEA0bNkw7d+70qFNcXKy7775bUVFRatOmjcaNG6cDBw541MnPz1dqaqocDoccDodSU1NVUFDgUWf//v268sor1aZNG0VFRWn69OkqKSmpl9eO6klPT5fNZlNaWpq7jHXDv/3www+66aabFBkZqdDQUF100UXasmWLeznrh386ffq0/vjHPyohIUEhISHq2rWrHnnkEZWXl7vrsG74j88//1xXXnmlnE6nbDab3n33XY/lTW1d2L59u4YOHaqQkBB17NhRjzzyiJr1uHEGGszSpUuNoKAg49VXXzV27dpl3HPPPUabNm2Mffv2NXbTUEOjR482Fi1aZOzYscPIysoyxo4da8THxxvHjx9315k/f74RFhZmvP3228b27duNCRMmGB06dDAKCwvdde68806jY8eOxqpVq4ytW7caw4cPNy688ELj9OnT7jpjxowxEhMTjbVr1xpr1641EhMTjZSUFPfy06dPG4mJicbw4cONrVu3GqtWrTKcTqcxbdq0hnkzYGnjxo1Gly5djL59+xr33HOPu5x1w3/99NNPRufOnY1bb73V2LBhg5GdnW18/PHHxnfffeeuw/rhnx599FEjMjLSeP/9943s7GzjH//4h3HeeecZzzzzjLsO64b/+PDDD405c+YYb7/9tiHJWL58ucfyprQuuFwuIyYmxrj++uuN7du3G2+//bYRFhZm/PWvf62/N6ieEZQa0KWXXmrceeedHmU9evQwZs2a1UgtQl3Ly8szJBmrV682DMMwysvLjdjYWGP+/PnuOqdOnTIcDofx0ksvGYZhGAUFBUZQUJCxdOlSd50ffvjBaNWqlZGZmWkYhmHs2rXLkGSsX7/eXWfdunWGJOPrr782DOPMxrRVq1bGDz/84K7z1ltvGXa73XC5XPX3ouHTsWPHjG7duhmrVq0yhg4d6g5KrBv+bebMmcaQIUMsl7N++K+xY8cat912m0fZtddea9x0002GYbBu+DNzUGpq68KLL75oOBwO49SpU+466enphtPpNMrLy+vwnWg4nHrXQEpKSrRlyxYlJyd7lCcnJ2vt2rWN1CrUNZfLJUmKiIiQJGVnZys3N9fjc7fb7Ro6dKj7c9+yZYtKS0s96jidTiUmJrrrrFu3Tg6HQwMHDnTXGTRokBwOh0edxMREOZ1Od53Ro0eruLjY43QeNKy77rpLY8eO1ciRIz3KWTf824oVK3TJJZfot7/9raKjo9WvXz+9+uqr7uWsH/5ryJAh+uSTT/TNN99Ikr788kutWbNGV1xxhSTWDfysqa0L69at09ChQz0mrx09erQOHjyovXv31v0b0AACG7sB/uLo0aMqKytTTEyMR3lMTIxyc3MbqVWoS4ZhaMaMGRoyZIgSExMlyf3Zevvc9+3b564THBysdu3aVahz9v65ubmKjo6u8JzR0dEedczP065dOwUHB7OONZKlS5dq69at2rRpU4VlrBv+7fvvv9fChQs1Y8YM/eEPf9DGjRs1ffp02e123XzzzawffmzmzJlyuVzq0aOHAgICVFZWpscee0w33HCDJLYd+FlTWxdyc3PVpUuXCs9zdllCQkJNXmajIig1MJvN5vG/YRgVytA8TZs2TV999ZXWrFlTYVlNPndzHW/1a1IHDSMnJ0f33HOPVq5cqdatW1vWY93wT+Xl5brkkks0b948SVK/fv20c+dOLVy4UDfffLO7HuuH/1m2bJkWL16sN998U71791ZWVpbS0tLkdDp1yy23uOuxbuCsprQueGuL1X2bA069ayBRUVEKCAiocAQmLy+vQkJH83P33XdrxYoV+vTTT9WpUyd3eWxsrCT5/NxjY2NVUlKi/Px8n3UOHz5c4XmPHDniUcf8PPn5+SotLWUdawRbtmxRXl6e+vfvr8DAQAUGBmr16tV69tlnFRgY6HGU7VysG/6hQ4cO6tWrl0dZz549tX//fklsO/zZAw88oFmzZun6669Xnz59lJqaqnvvvVfp6emSWDfws6a2Lnirk5eXJ6lir1dzQVBqIMHBwerfv79WrVrlUb5q1SoNHjy4kVqF2jIMQ9OmTdM777yjf//73xW6lRMSEhQbG+vxuZeUlGj16tXuz71///4KCgryqHPo0CHt2LHDXScpKUkul0sbN25019mwYYNcLpdHnR07dujQoUPuOitXrpTdblf//v3r/sXDpxEjRmj79u3Kyspy3y655BLdeOONysrKUteuXVk3/Nhll11WYSqBb775Rp07d5bEtsOfnTx5Uq1aee6eBQQEuIcHZ93AWU1tXUhKStLnn3/uMWT4ypUr5XQ6K5yS12w03LgRODs8+GuvvWbs2rXLSEtLM9q0aWPs3bu3sZuGGvr9739vOBwO47PPPjMOHTrkvp08edJdZ/78+YbD4TDeeecdY/v27cYNN9zgdejOTp06GR9//LGxdetW49e//rXXoTv79u1rrFu3zli3bp3Rp08fr0N3jhgxwti6davx8ccfG506dWIY1ybk3FHvDIN1oy4tWrTIkGRkZ2e7y5YsWWI8/fTTjdYmXzZu3GgEBgYajz32mPHtt98aS5YsMUJDQ43Fixe767B++KdbbrnF6Nixo3t48HfeeceIiooyHnzwQXcd1g3/cezYMWPbtm3Gtm3bDEnGU089ZWzbts09tUxTWhcKCgqMmJgY44YbbjC2b99uvPPOO0Z4eDjDg6PqXnjhBaNz585GcHCwcfHFF7uHkUbzJMnrbdGiRe465eXlxp///GcjNjbWsNvtxq9+9Stj+/btHo9TVFRkTJs2zYiIiDBCQkKMlJQUY//+/R51fvzxR+PGG280wsLCjLCwMOPGG2808vPzPers27fPGDt2rBESEmJEREQY06ZN8ximE43LHJRYN+qOt6A0duxYo3Pnzo3Wpsq89957RmJiomG3240ePXoYr7zyisdy1g//VFhYaNxzzz1GfHy80bp1a6Nr167GnDlzjOLiYncd1g3/8emnn3rdz7jlllsMw2h668JXX31l/PKXvzTsdrsRGxtrzJ07t9kODW4YhmEzjOY8XS4AAFJGRoYmTZqk7Oxs9ykeKSkp2rFjR7MdlhYA0Li4RgkA0ODeffdd2Ww2ffLJJxWWLVy4UDabTV999ZWkM3MOJSUlKTQ0VGFhYRo1apTWrVvn8/GHDRumDz74QPv27ZPNZnPfznr44Yc1cOBARUREKDw8XBdffLFee+01mY8dFhcX67777lNsbKxCQ0P1q1/9Slu2bFGXLl106623etTNzc3VlClT1KlTJwUHByshIUEPP/ywTp8+XcN3CQDQmBgeHADQ4FJSUhQdHa1FixZpxIgRHssyMjJ08cUXq2/fvnrzzTd14403Kjk5WW+99ZaKi4v1+OOPa9iwYfrkk080ZMgQr4//4osv6o477tB///tfLV++vMLyvXv3asqUKYqPj5ckrV+/Xnfffbd++OEH/elPf3LXmzRpkpYtW6YHH3xQv/71r7Vr1y5dc801Kiws9Hi83NxcXXrppWrVqpX+9Kc/6fzzz9e6dev06KOPau/evVq0aFFt3zIAQENr5FP/AAB+asaMGUZISIhRUFDgLtu1a5chyXjuueeMsrIyw+l0Gn369DHKysrcdY4dO2ZER0cbgwcPdpfV5hqlsrIyo7S01HjkkUeMyMhI9/n0O3fuNCQZM2fO9Kj/1ltveVwjYBiGMWXKFOO8885zX2B91l//+ldDkrFz586qvCUAgCaEU+8AAI3itttuU1FRkZYtW+YuW7Rokex2uyZOnKg9e/bo4MGDSk1N9Rgu+bzzztN1112n9evX6+TJkzV67n//+98aOXKkHA6HAgICFBQUpD/96U/68ccf3fN+rF69WpI0fvx4j/v+5je/UWCg5wkZ77//voYPHy6n06nTp0+7b5dffrnHYwEAmg+CEgCgUfTu3VsDBgxwn5ZWVlamxYsX66qrrlJERIR+/PFHSWcmZzVzOp0qLy+vMIliVWzcuFHJycmSpFdffVX/+c9/tGnTJs2ZM0eSVFRUJEnu5zdPlBgYGKjIyEiPssOHD+u9995TUFCQx613796SpKNHj1a7nQCAxsU1SgCARjNp0iRNnTpVu3fv1vfff69Dhw5p0qRJkuQOI+dOcHjWwYMH1apVK7Vr167az7l06VIFBQXp/fffV+vWrd3l7777rke9s89/+PBhdezY0V1++vRpd4g6KyoqSn379tVjjz3m9TmdTme12wkAaFwEJQBAo7nhhhs0Y8YMZWRk6Pvvv1fHjh3dvT3du3dXx44d9eabb+r+++93j1p34sQJvf322+6R8KzY7XZ379C5bDabAgMDFRAQ4C4rKirSG2+84VHvV7/6lSRp2bJluvjii93l//d//1dhJLuUlBR9+OGHOv/882sU3gAATQ9BCQDQaNq2batrrrlGGRkZKigo0P333+++HqlVq1Z6/PHHdeONNyolJUVTpkxRcXGxnnjiCRUUFGj+/Pk+H7tPnz565513tHDhQvXv31+tWrXSJZdcorFjx+qpp57SxIkTdccdd+jHH3/UX//6V9ntdo/79+7dWzfccIOefPJJBQQE6Ne//rV27typJ598Ug6Hw+O6qUceeUSrVq3S4MGDNX36dHXv3l2nTp3S3r179eGHH+qll15Sp06d6v4NBADUG4ISAKBRTZo0SW+99ZYkVZibaOLEiWrTpo3S09M1YcIEBQQEaNCgQfr00081ePBgn497zz33aOfOnfrDH/4gl8slwzBkGIZ+/etf63/+53+0YMECXXnllerYsaMmT56s6Oho3X777R6PsWjRInXo0EGvvfaann76aV100UX63//9X40ZM0Zt27Z11+vQoYM2b96sv/zlL3riiSd04MABhYWFKSEhQWPGjKGXCQCaIZthmGbXAwAAltauXavLLrtMS5Ys0cSJExu7OQCAekJQAgDAwqpVq7Ru3Tr1799fISEh+vLLLzV//nw5HA599dVXHoNBAABaFk69AwDAQnh4uFauXKlnnnlGx44dU1RUlC6//HKlp6cTkgCghaNHCQAAAABMajzh7Oeff64rr7xSTqdTNputwvwThmFo7ty5cjqdCgkJ0bBhw7Rz506POsXFxbr77rsVFRWlNm3aaNy4cTpw4IBHnfz8fKWmpsrhcMjhcCg1NVUFBQU1bTYAAAAAVKrGQenEiRO68MIL9fzzz3td/vjjj+upp57S888/r02bNik2NlajRo3SsWPH3HXS0tK0fPlyLV26VGvWrNHx48eVkpKisrIyd52JEycqKytLmZmZyszMVFZWllJTU2vabAAAAACoVJ2cemez2bR8+XJdffXVks70JjmdTqWlpWnmzJmSzvQexcTEaMGCBZoyZYpcLpfat2+vN954QxMmTJB0Zqb1uLg4ffjhhxo9erR2796tXr16af369Ro4cKAkaf369UpKStLXX3+t7t2717bpAAAAAFBBvQzmkJ2drdzcXPfs6tKZGdKHDh2qtWvXasqUKdqyZYtKS0s96jidTiUmJmrt2rUaPXq01q1bJ4fD4Q5JkjRo0CA5HA6tXbvWMigVFxeruLjY/X95ebl++uknRUZGumd2BwAAAOB/DMPQsWPH5HQ6PSYPN6uXoJSbmytJiomJ8SiPiYnRvn373HWCg4MrTMIXExPjvn9ubq6io6MrPH50dLS7jjfp6el6+OGHa/UaAAAAALRcOTk56tSpk+Xyeh0e3Nx7YxhGpT065jre6lf2OLNnz9aMGTPc/7tcLsXHxysnJ0fh4eFVbT4AAACAFqawsFBxcXEKCwvzWa9eglJsbKykMz1CHTp0cJfn5eW5e5liY2NVUlKi/Px8j16lvLw8DR482F3n8OHDFR7/yJEjFXqrzmW322W32yuUh4eHE5QAAAAAVNqBU+NR73xJSEhQbGysVq1a5S4rKSnR6tWr3SGof//+CgoK8qhz6NAh7dixw10nKSlJLpdLGzdudNfZsGGDXC6Xuw4AAAAA1LUa9ygdP35c3333nfv/7OxsZWVlKSIiQvHx8UpLS9O8efPUrVs3devWTfPmzVNoaKgmTpwoSXI4HLr99tt13333KTIyUhEREbr//vvVp08fjRw5UpLUs2dPjRkzRpMnT9bLL78sSbrjjjuUkpLCiHcAAAAA6k2Ng9LmzZs1fPhw9/9nrwm65ZZblJGRoQcffFBFRUWaOnWq8vPzNXDgQK1cudLjXMCnn35agYGBGj9+vIqKijRixAhlZGQoICDAXWfJkiWaPn26e3S8cePGWc7dBAAAAAB1oU7mUWrqCgsL5XA45HK5uEYJAAAA8GNVzQb1co0SAAAAADRnBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAAJPAxm4AAP+wbX++so+eUEJUG/WLb1frevBPrB8AgIZCUIKl+tghYSfnZ/70Xsz/1269tPp79/93Du2qWZf3rHE9+CfWDwCV8affViu8B3WHoASv6mOHhJ2cn/nTe7Fs036P1ypJL63+XqN7x3pswLftz69SPX+zbNN+fZlToAvj2mrCgPjGbk6jYf1AdbCj6F/Obid/KCjS6m+Oustb8m+rFX/av2gIBCVUUB87JOzk/Kyy96LbHz5QabkU1Er6dt7YRmpl3TBvsM/12Z48j8/+sz15VarnT65+YY2yclySpDc35uitjfv17l1DGrlVjYP1A1XFjmLNNNeDMuduJ838bT+Dfa26x2AOqGDpxv3VKq8KXzs5/sbX+9tl1pmQJEml5VKXWR+oy6wPGrB1dcfbBvtcua5TPv+vrLw527Y/X+9sPaBt+/Mt6yzbtL/Cj39WjkvLNtX8e9ic+dP6gZqz2lH09V3DmbAx8+3tenNjjma+vV2/XPBJYzfJ0rnbT2/bSbPsoycaqGWNj32tukePEirIP1lSrXJUj9X7uGzzAcv7dJn1gfbOb169S5VtmH88XtxALWlaqnq0+5Pdh73e/5Pdh5vV0d66EutoXa1y+CerneLsoyc4om7BW9jIyT+lXy74RF/MHNFIrfLOvP3sEhla6X1Ky8rrs0lo4WyGYRiN3Yj6VlhYKIfDIZfLpfDw8MZujno99C+dLG16X9ygVlJQQKsm2TZUrnWQTZ0j2mj+dX2VffSEHn1/l1xFpSo75xtuk2Sc89dKcIBNJWUtftOAOmIV4s+f/YF7/QsKkDo4QhR1nl1b9xd4rR9uD9BXD4/xusxXz2qATWruq+ve+WM9XqOvAyMJsz5wf4+z//96ff+cqcLiMq/1Q4NaaddfLnf/P/rp1dpz+HidtLuumF+/Pxnevb12HnQp79jPB9FaB9l0qvTnldqmM9vlizu308Wd2+mV1f91n31g3p6f+32wB9hU7OPL8Yv2bfTdker1uDTWQbtt+/N1zYtrq32/DuF2lRmGTpcZCgywqbfToUWTLnVfx/bfI8eVf6LEfcrhEx99ra378vVlToGKT5fLHthKF8a11dZ9+SopM9QuNEhb/5RcZ6/r2hf/494m2gNs2vPYFbr2xf/o27xjOnGqTIakVjYp8rxgdWoXqpsGdXb/vge2sikuIrTan6HZudteb9/DyvYZrLbBQQFSqffNUqMf/K1qNiAoNTB//SEA0LLdNfx8PTC6h/v/2mzrzD+g/rrdrOv3wZ/DCOpWfe/ksp76h8YMSwSlczSVoMQXH0BL1j4sWJvmjKr1tq6yo5sAmi5zD2Z18Z33L40VlqqaDbhGqYHwxQfQ0h05VlIn2zqrU8gANH0nS8srbAequjPMvhKaGoISAKDJaY4DmADwzlcAOvs9JyShKSIoAQAAoFEQkPyXrbEbUAXMo9RAODIKAAAAnJHdDPaNCUoAgDqxd/7YOjsoxMElAGi5mss2nqDUgJrLSgEA1XXu9q2227q6fCwAQNPSnLbrDA/eCDgfF0BL4utHr7rbO2+P9c7WA5rxv19Wu10t1YLr+mjm29sbuxl1LqiVxHznTZ+372hNJ4OF/2kqIanJzKN07NgxPfTQQ1q+fLny8vLUr18//e1vf9OAAQMkSYZh6OGHH9Yrr7yi/Px8DRw4UC+88IJ69+7tfozi4mLdf//9euutt1RUVKQRI0boxRdfVKdOnarUhqYWlJq6Hg996DEj+FlR5wVr8x9HVfvxfG1AJ1zSSQt+c2G1H7O5+l3GRn389ZEK5SN7tNffb73Uo+ziR1Yq/2RptWcBPzvbeGlZuYICWikhqo36xberddutnufs4587y/n/rMlWkY89nsjQIG055zX52hFuKetIyrNfaMfBQq/LglpJ387z/PFYtmm/153hBdf10YQB8fXSxqaqrrch5nW3Md33v1n6MqdAF8a11ZPjL6qzx3161R797ZPvfNZZPnVwo7/+ujTz/77Uss0HvC7zto3FGeNfWquNe/MrlIcGt9KuRxpvPqRhF0Tps2+O1uoxencI0wf3/KpWj9GcWH2Wl3Zpp/+9c3AjtKjpajLzKP3ud7/Tjh079MYbb8jpdGrx4sUaOXKkdu3apY4dO+rxxx/XU089pYyMDF1wwQV69NFHNWrUKO3Zs0dhYWGSpLS0NL333ntaunSpIiMjdd999yklJUVbtmxRQEBAfb8Ev7Jtf77XkCRJJ06drtFjfrYnz3JZrKN1jR6zuSq0eA+9lVcnHJ2rX3y7Btn5MT/Puf+//p+9Pu9rs3mOdZMQ1abO29fUlPk4JmV+PyTpk92Hvdb9ZPdhvwtK/eLbaegFUVrtZafp4s7VX9cb6jtSFXUZjs41rHu0z6D0+6Fdm8x7UFd+PF5suSzyPHsDtqR5sdoynSwp17b9+TVeT6rSc2AVps6G+KtfWKOsHFeNnl+Sylv+SVMerPo+/ODksXpTr0GpqKhIb7/9tv75z3/qV786k+jnzp2rd999VwsXLtRf/vIXPfPMM5ozZ46uvfZaSdLrr7+umJgYvfnmm5oyZYpcLpdee+01vfHGGxo5cqQkafHixYqLi9PHH3+s0aNH1+dL8DvZR0806PM524Y06PM1toSoNl6P9rS0oHC8pLIJQz032v3i26l/57basq+gQs2WEqbD7NabW29DpLYLDfZa16q8pbsorq3XoHSwoKgRWtP09YtvpzuHdtVLq793l13bz6kh3do3iZ60+mB1IEpqOduR+uBriObsoyfqdV2pLEy9e9cQLdu0X1/mFOjfX+cpt9A6DHvjKqrZAd7mqlUr75+mVTkqV6+DOZw+fVplZWVq3dpzAxUSEqI1a9YoOztbubm5Sk7++ci53W7X0KFDtXbtmdMstmzZotLSUo86TqdTiYmJ7jpmxcXFKiws9LihakrLrE+XCgqs2eoyrHu05bKt+yqGhpYs75j3jbxVectVcaN9nkWQaClh2tcRPW9LosK8HwG3Km/pdv7g/aiyVTmkWZf31PKpg/XU+AvP/J3QT9de3KlFhiRJCm9tfTCipWxH6oOv960pHMSbMCBe867tqwkD4qp935LTlR20a1msgqG/Bca6VK9BKSwsTElJSfrLX/6igwcPqqysTIsXL9aGDRt06NAh5ebmSpJiYmI87hcTE+Nelpubq+DgYLVr186yjll6erocDof7FhdX/S+XvwoKsF4l7D6W+dIvvp06hHvfuWvoHqzGtsNip86qvKUqLfP88dq2P99rb4HUcnoMjhwvsVzm7VjfB18d8lr328PH6qhFzUt1TlvFz/rFt2vR4aiqfP22+bvmclqir4Ou1vyrJ6WwyPvvjFU5KlfvW4433nhDhmGoY8eOstvtevbZZzVx4kSPa4vM5+cbhuH1nP2q1pk9e7ZcLpf7lpOTU/sX4id8HT2qzbm+nSJCvZb721mzgQHe11mr8paqpMzzk/cVmHNdp+q7OQ0i/4R1r6H5u7Vtf772/njSe91yf/vWnGG1bWoKR7zRNBwrtg7Nvs6W8Hc/nrDeiW5KBzPPnk5aPf61vbQHer9u36oclav3oHT++edr9erVOn78uHJycrRx40aVlpYqISFBsbGxklShZygvL8/dyxQbG6uSkhLl5+db1jGz2+0KDw/3uKH2ik/X/IfmqMWpZVblLVWndt4Do1V5S2U+X9ofdnaLy6x/sM0DBC7duN+ybnM5+lvXrAZtqMlgDmiZfB1DoEfJWmFRqeWyphYwzz2ddEDntlW4h38dhDy/vfffUqtyVK7Bthxt2rRRhw4dlJ+fr48++khXXXWVOyytWrXKXa+kpESrV6/W4MFnhjHs37+/goKCPOocOnRIO3bscNdB3fF19Kg2G8zjFqfHWJW3VFabbP/alEshpuvd+sW3U0RovQ/C2ahO+Rgu3fz5+/oe+utF6VanYLaUUzNReyfpUaoRX30uTfH7dfZ00srOPJKkID87W8PqQJq/HmCrC/W+Z/LRRx/JMAx1795d3333nR544AF1795dkyZNks1mU1pamubNm6du3bqpW7dumjdvnkJDQzVx4kRJksPh0O2336777rtPkZGRioiI0P33368+ffq4R8FD3fH1Y9KqChslK1YbYv/qFLe+aNbXxbTNUfeY87Tn8HEfNTzXpW378/XTSf8Kzee6IOY8j/+tRkeU/Pei9P9896Nl+b3Vn94NfqYp7vA3Fb4CZlPGkNdoCPW+d+ZyuTR79mwdOHBAERERuu666/TYY48pKChIkvTggw+qqKhIU6dOdU84u3LlSvccSpL09NNPKzAwUOPHj3dPOJuRkcEcSvXA149JaXnNj8hZ3bc2j9kc+cvRno/uHepzskHzYA5N6Tz4xvDRvUM9/j/t4xyirfvy/W4eJUnaZ7GOWJXD/4T6GIK/pVzr2NBqNoBCwzhR6TQU/jfYi9VcYr7mGINv9R6Uxo8fr/Hjx1sut9lsmjt3rubOnWtZp3Xr1nruuef03HPP1UMLUVUcvKk9f9qI7Z0/VgmzPvDaa2i+XIfTYjz5OmDh76ESsNJce0YaW2JHh3YeqjiaZo/Y85r0aIlVOcfF3wa/YXTQusfVjfDg67QefzvXtz4csjiqaVXe3EWEBnktNw817w8XWofbvfeAeyv/wUdQ8oeBL7wpszhSY1UOoGqsBkSZdFlCA7ekejpU4XrNNj56GVsifzm9vyG1/L0TVIuvHdbAVjVfXU5ZdJFblaNlOGUxUqK53B96lKxGjfRW7ms0SH+dcNZqHfGHdQdV4+vUO38dBKUqWvJAKf52gNdfTu9vSAQlePC101FcixmuyyyGbbAqb6msfsh9/cA3Z1brjLncH3qUSi1OAfFW7uv98NcJZ8+z+I5YlcP/+Dr1rilfa4OaqcrpZKU+pmVoifzp9P6G0vL3TlAtvnbQajPqXZDN++NalbdUVj/kLfXceqteSHO5P/QKBAd6fy+8ld+U1NnycdqFBtdZm5qT+Ejvc41ZlcP/nLQ4Q8HROrBJX2vT2KxOuW/qI2xWZdQ7f+tR4hqluudfe6molK8dVrvFjh5gxR7kfZ0xl/tDj1KbIO/XKHkrj4+w3vn311PvrK7J9rNrteFDe4vvRvfYMK/lOGPrPu9TEViVNxVVmUcpoo1/HVgiKNW9lr93gmqprx6lcosjP1blLZW/nXpXYjHJqrncH3qUbK28f3+8lb+95YDl4/jrqXdM1ozKDEiIqFY5zsg/WVKt8qaiKj1KfnbmnQqLvH9mVuWoHEEJHnztsNZme9M62PvRdKvylsrfTr2r6t5tS7houDKGRdeHt3JfxyT8bbjbs5i0GpU5v/151SrHGd1ivPe4WZU3FVXpUfK3gGAP9L5PZVWOyhGU4MH3qHc1P3YbYnHakVV5S2V1Dr1VeXMXZLHOmMt3/uBqiOY0qtMWkyt7K7+ki/UR8N4dHXXWpuaEHiVU5r9HjlerHGdY/bbX5je/IVRlyGs/O2nF8tRsfz1luy4QlODBV49SWS2OZLtOllarHC1DsEUQNpe31HmkzmWzGLjEW7mvI+Cn/bRH6ZhFr6tVOfyP1Wmp/nq6alXlWmx/rcqbCoa8rogDSnWPoAQPvnqUSmtxaIZrlPxTVU83O88PJsM7Uez9oIC3cl9HwPNP+NepJGcVl1oMNW9RDv9jdVqqv56u2tJVZchrfxvEgAln6x5BCR589SjVphs+zOJLalXeUp2ymFfIqry5s+r9MJf7OtXMHyeK9BWG2vnZKE5nMZEiKsM6UjNW29imvu2tSgiqxRhUzRLfgbpHUIIHXz1KEbWYvyUm3PsG16q8pfK7a7WqeB6Ar1PNWspEkR0s5iTxVn5hXFvLx2nq1w3Ul65RbapVDv/zo8UBBqtynGG1jW3q296qjHoX5WcBge9A3SMowcPi9fssl11aiyFWOfXujM6R3nfqrMqbu6oO5uCrJ/ObFnJ9QXSY94MC3sov8DHaVFO/bqC+/PfIiWqVw/8UFnk/vdWqHGf0i2+nO4d29Sj7/dCuTX6S3qqMetfGz0bW5TtQ9/zrvCdUytdFrxd3rvlGs7DIYhI0i/KW6mSJxfDgFuXNXanFqXfmcl89mZ/sPqwJA+LrtF2NIdflfQh0b+XZR9n5NztlcS2SVTn8T0JUG23cW3GS1AR6HSs16/KeGt07VtlHTyghqk2TD0lS1XqUWuqIslaYRqHu0aMED74mla3NLN3HLS5ktypvqY5bnFNtVd7cVXXCWV87Mi3lQuxWFr1r3sp9DebQ1K8bqC/tLYa3tSqH/7E6mFebg3z+pF98O117cadmEZKkqvUo+duBFEa9q3sEJXjoHmt9yk9tZum22qBVZUPXkoTavXfiWpU3e1XcaveLb6fOEd6v4WkprIbX91buq2e3qV83UF/yCr2fcmhVDv9jdTCvNgf50HRVpafQz3Yx6FGqBwQleBjg4zqksNZBNX7c1haDFViVt1T+drQn1OLz9VZ+nkVYbClzLFVn6OJ8i/nFYsPtzeZob13LK/Q+FLBVOfyP1cG82hzkQ9N1/aWVn5IdHuJfo4T62z5GQyAowYOv0ccO5J+s8eNaDdTlbwN4+dvRHqujed7Ks3/0fl3OTy1kJyfE4qJib+UnLSZRjfTTocElqY3FVAJW5fA/I3rGVKsczVu/+HaKDfd96q2/zbPmb/sYDYGgBA++Rh87VovraOyB3ncSrcpbqqPHvB/9tipv7k6d9r4+mcu37c/XyRLvdVtKlq5Oj9JPFkO5WpX7A3qlUZkJA+J1UZzDo6xfnKNFDAYD7+IjQn0ubykH2qrK3/YxGgKH4uDhYIH3kbmk2g2zabfYmbEqb6mKLSaWtSpv7gIsugzN5b5GeXOE1PyUz6akxOIghLfy6vTE+YtDBd57tK3K4Z/evWuIlm3ary9zCnRhXFtCUgu3/yff33+rAYVaKn/bx2gIBCV48DVHS22G2Sws8n5Ux6q8pXKEBuugq+KRHUctJvNtyqo6j5Kvi3J9jcTYnLRr4/2zb+fldDp/W0+qopWtlaSK26Az5cDPJgyIJyD5gW3785VbyTWK/jZXY1CA94PPVuWoHL8w8OBr6OHaBCWrbZWfbcMsv3At9YtYF+dLt2khIwLenNSlyuVhFq/ZqtwfXBTftlrlAFq2P7zzVWM3ocmxmpLQx1SFqARvHTw421oP0Vyb+UoiLC5CtypHy3Da4nQzc7mvU+98jcTYnFTn+oljp7yPemdV7g/6dnJUqxxAy7bvR067NbMHet+ttypH5fz38CS8CvJx2CGukosmfUns6NDOQxXnhkns6F87OR0crb2+Dx1a6CSiZRZdR+ZyX4OItKSLUKt6/USxxSAYVuX+YOcPrmqVA2jZ2oYG6aSXU5TP1ULO3K6yuIhQ7c6tOGF5bfbf/B0REx587bDW5ojEaYsRv6zKW6rI87z3ylmVN3eBFtcomctnvr3d8jF89TY1RxMGxGvetX19XkNhNQy4Pw8PbjWfVkuZZwtA9dwz8oLKK/lZUOoWE1atclSOoAQPvka9uzCubY0f95Pdh6tV3lL9eNz70S+r8ubO6kLa6lxgW5XZ11uarhbzmVmVA4C/qcqAHaetTmtooRgevO4RlODBatS71oG2Wo0iVFjkfQ4mq/KW6r9HvPeOWJU3d3Uxf1ZVZl9vafwtUFeF1empLfW0VQC1V+5nZyvvtZi43aoclSMowYPVqHenThvatj+/xo/LvDBn+NscB3UxiEe/+HZ11Zxmo9Bicmercn/gb6etAqhcaJDv3Vh/G+2tOhObo2r8bBVCZXyNevfZnrwaP260xYh5VuUtVUeL99eqvLljtMOaCW/tfZwdq3IA8Ee9nL4HhHK29a9BDFpZXBdsVY7KEZTgwdc1SrXhbVJNX+Utlb9de3JxZ++9QVblOIPek4o4HRGA2ZyxPX0uH9S1ZUwvUVXMwVf3CEqoMl+9TZUJszgSblXeUvnbzt4Do3uofZhnGI4OC9YDo3t4lHWJ8L5uWZXD/3CkFIBZv/h2unNoV8vlVpcTtFS9LaZcsSpH5QhK8DCse7TlMl9zLFXm2os7Vau8pfLHnb1Nc0bpruHnK6lrhO4afr42zhlVoc4Fsd6HLrUqb+m+P1JxHgxf5f5gRM+YapUD8A+zLu+pBdf18brM1z5NS8RULHWPoAQP/eLbaegFUV6X+ZpjqTITBsTrojjPIxr94hy1GkmvOfLXnb0HRvfQW3ckVehJOou5HzwVlXof3MOq3B+wDQFgZcKA+Ao9S78f2tXvBgP69nDFCe19laNy/nXeE6rkori2Wv3N0Qrltb1+6d27hmjZpv36MqdAF8a19csdnAkD4vXWxv3KynG5y9jZq/rEtP5iaPdo7ThY8YdtqJ8dHTVjGwLAyqzLe2p071hlHz2hhKg2fheSJKldqMX14BblqBxBCRWs/a5iSDpbfu+o7rV67AkD4v1+54advYqs5u+yKm/pHhjdQ/+7OUdHjpW4y7xd2+WP2IYAsNIvvp1fBqSzrr80Xss2H/BajpohKKECTvupf+zsoTKb5ozSEx99ra378nVx53aEJACAT2cHt3hp9ffuMn88BbEuEZRQAaf9AE0D4QgAUB2cgli3GMwBFVR1SGcAAAA0Lf3i2+naizsRkupAvQal06dP649//KMSEhIUEhKirl276pFHHlF5+c+jpxmGoblz58rpdCokJETDhg3Tzp07PR6nuLhYd999t6KiotSmTRuNGzdOBw5UPAcTdacqQzoDdcXf5pcCAABNX72eerdgwQK99NJLev3119W7d29t3rxZkyZNksPh0D333CNJevzxx/XUU08pIyNDF1xwgR599FGNGjVKe/bsUVjYmaGB09LS9N5772np0qWKjIzUfffdp5SUFG3ZskUBAQH1+RL8Gj1IaCj+OL8UAABo2uq1R2ndunW66qqrNHbsWHXp0kW/+c1vlJycrM2bN0s605v0zDPPaM6cObr22muVmJio119/XSdPntSbb74pSXK5XHrttdf05JNPauTIkerXr58WL16s7du36+OPP67P5gNoIP46vxQAAGi66jUoDRkyRJ988om++eYbSdKXX36pNWvW6IorrpAkZWdnKzc3V8nJye772O12DR06VGvXrpUkbdmyRaWlpR51nE6nEhMT3XXMiouLVVhY6HED0HQxmSgAAGhq6vXUu5kzZ8rlcqlHjx4KCAhQWVmZHnvsMd1www2SpNzcXElSTIznUeOYmBjt27fPXSc4OFjt2rWrUOfs/c3S09P18MMP1/XLAVCPmF8KAAA0JfUalJYtW6bFixfrzTffVO/evZWVlaW0tDQ5nU7dcsst7no2m+d1CIZhVCgz81Vn9uzZmjFjhvv/wsJCxcXF1eKVAGgIzC8FAACainoNSg888IBmzZql66+/XpLUp08f7du3T+np6brlllsUGxsr6UyvUYcOHdz3y8vLc/cyxcbGqqSkRPn5+R69Snl5eRo8eLDX57Xb7bLb7fX1sgAAAAC0cPV6jdLJkyfVqpXnUwQEBLiHB09ISFBsbKxWrVrlXl5SUqLVq1e7Q1D//v0VFBTkUefQoUPasWOHZVACAAAAgNqo1x6lK6+8Uo899pji4+PVu3dvbdu2TU899ZRuu+02SWdOuUtLS9O8efPUrVs3devWTfPmzVNoaKgmTpwoSXI4HLr99tt13333KTIyUhEREbr//vvVp08fjRw5sj6bDwAAAMBP1WtQeu655/TQQw9p6tSpysvLk9Pp1JQpU/SnP/3JXefBBx9UUVGRpk6dqvz8fA0cOFArV650z6EkSU8//bQCAwM1fvx4FRUVacSIEcrIyGAOJQAAAAD1wmYYhtHYjahvhYWFcjgccrlcCg8Pb+zmAAAAAGgkVc0G9XqNEgAAAAA0RwQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAk3oNSl26dJHNZqtwu+uuuyRJhmFo7ty5cjqdCgkJ0bBhw7Rz506PxyguLtbdd9+tqKgotWnTRuPGjdOBAwfqs9kAAAAA/Fy9BqVNmzbp0KFD7tuqVaskSb/97W8lSY8//rieeuopPf/889q0aZNiY2M1atQoHTt2zP0YaWlpWr58uZYuXao1a9bo+PHjSklJUVlZWX02HQAAAIAfsxmGYTTUk6Wlpen999/Xt99+K0lyOp1KS0vTzJkzJZ3pPYqJidGCBQs0ZcoUuVwutW/fXm+88YYmTJggSTp48KDi4uL04YcfavTo0VV63sLCQjkcDrlcLoWHh9fPiwMAAADQ5FU1GzTYNUolJSVavHixbrvtNtlsNmVnZys3N1fJycnuOna7XUOHDtXatWslSVu2bFFpaalHHafTqcTERHcdb4qLi1VYWOhxAwAAAICqarCg9O6776qgoEC33nqrJCk3N1eSFBMT41EvJibGvSw3N1fBwcFq166dZR1v0tPT5XA43Le4uLg6fCUAAAAAWroGC0qvvfaaLr/8cjmdTo9ym83m8b9hGBXKzCqrM3v2bLlcLvctJyen5g0HAAAA4HcaJCjt27dPH3/8sX73u9+5y2JjYyWpQs9QXl6eu5cpNjZWJSUlys/Pt6zjjd1uV3h4uMcNAAAAAKqqQYLSokWLFB0drbFjx7rLEhISFBsb6x4JTzpzHdPq1as1ePBgSVL//v0VFBTkUefQoUPasWOHuw4AAAAA1LXA+n6C8vJyLVq0SLfccosCA39+OpvNprS0NM2bN0/dunVTt27dNG/ePIWGhmrixImSJIfDodtvv1333XefIiMjFRERofvvv199+vTRyJEj67vpAAAAAPxUvQeljz/+WPv379dtt91WYdmDDz6ooqIiTZ06Vfn5+Ro4cKBWrlypsLAwd52nn35agYGBGj9+vIqKijRixAhlZGQoICCgvpsOAAAAwE816DxKjYV5lAAAAABITXAeJQAAAABoLghKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJvUelH744QfddNNNioyMVGhoqC666CJt2bLFvdwwDM2dO1dOp1MhISEaNmyYdu7c6fEYxcXFuvvuuxUVFaU2bdpo3LhxOnDgQH03HQAAAICfqteglJ+fr8suu0xBQUH617/+pV27dunJJ59U27Zt3XUef/xxPfXUU3r++ee1adMmxcbGatSoUTp27Ji7TlpampYvX66lS5dqzZo1On78uFJSUlRWVlafzQcAAADgp2yGYRj19eCzZs3Sf/7zH33xxRdelxuGIafTqbS0NM2cOVPSmd6jmJgYLViwQFOmTJHL5VL79u31xhtvaMKECZKkgwcPKi4uTh9++KFGjx5daTsKCwvlcDjkcrkUHh5edy8QAAAAQLNS1WwQWJ+NWLFihUaPHq3f/va3Wr16tTp27KipU6dq8uTJkqTs7Gzl5uYqOTnZfR+73a6hQ4dq7dq1mjJlirZs2aLS0lKPOk6nU4mJiVq7dq3XoFRcXKzi4mL3/y6XS9KZNwUAAACA/zqbCSrrL6rXoPT9999r4cKFmjFjhv7whz9o48aNmj59uux2u26++Wbl5uZKkmJiYjzuFxMTo3379kmScnNzFRwcrHbt2lWoc/b+Zunp6Xr44YcrlMfFxdXFywIAAADQzB07dkwOh8Nyeb0GpfLycl1yySWaN2+eJKlfv37auXOnFi5cqJtvvtldz2azedzPMIwKZWa+6syePVszZszwaMdPP/2kyMjISh+3vhUWFiouLk45OTmcBogKWD9ghXUDvrB+wArrBnzx1/XDMAwdO3ZMTqfTZ716DUodOnRQr169PMp69uypt99+W5IUGxsr6UyvUYcOHdx18vLy3L1MsbGxKikpUX5+vkevUl5engYPHuz1ee12u+x2u0fZuQNINAXh4eF+tUKielg/YIV1A76wfsAK6wZ88cf1w1dP0ln1OurdZZddpj179niUffPNN+rcubMkKSEhQbGxsVq1apV7eUlJiVavXu0OQf3791dQUJBHnUOHDmnHjh2WQQkAAAAAaqNee5TuvfdeDR48WPPmzdP48eO1ceNGvfLKK3rllVcknTnlLi0tTfPmzVO3bt3UrVs3zZs3T6GhoZo4caKkM2nv9ttv13333afIyEhFRETo/vvvV58+fTRy5Mj6bD4AAAAAP1WvQWnAgAFavny5Zs+erUceeUQJCQl65plndOONN7rrPPjggyoqKtLUqVOVn5+vgQMHauXKlQoLC3PXefrppxUYGKjx48erqKhII0aMUEZGhgICAuqz+fXCbrfrz3/+c4VTAwGJ9QPWWDfgC+sHrLBuwBfWD9/qdR4lAAAAAGiO6vUaJQAAAABojghKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlBrYiy++qISEBLVu3Vr9+/fXF1980dhNQi2kp6drwIABCgsLU3R0tK6++uoKc4cZhqG5c+fK6XQqJCREw4YN086dOz3qFBcX6+6771ZUVJTatGmjcePG6cCBAx518vPzlZqaKofDIYfDodTUVBUUFHjU2b9/v6688kq1adNGUVFRmj59ukpKSurltaN60tPT3VMinMW64d9++OEH3XTTTYqMjFRoaKguuugibdmyxb2c9cM/nT59Wn/84x+VkJCgkJAQde3aVY888ojKy8vddVg3/Mfnn3+uK6+8Uk6nUzabTe+++67H8qa2Lmzfvl1Dhw5VSEiIOnbsqEceeUTNetw4Aw1m6dKlRlBQkPHqq68au3btMu655x6jTZs2xr59+xq7aaih0aNHG4sWLTJ27NhhZGVlGWPHjjXi4+ON48ePu+vMnz/fCAsLM95++21j+/btxoQJE4wOHToYhYWF7jp33nmn0bFjR2PVqlXG1q1bjeHDhxsXXnihcfr0aXedMWPGGImJicbatWuNtWvXGomJiUZKSop7+enTp43ExERj+PDhxtatW41Vq1YZTqfTmDZtWsO8GbC0ceNGo0uXLkbfvn2Ne+65x13OuuG/fvrpJ6Nz587GrbfeamzYsMHIzs42Pv74Y+O7775z12H98E+PPvqoERkZabz//vtGdna28Y9//MM477zzjGeeecZdh3XDf3z44YfGnDlzjLffftuQZCxfvtxjeVNaF1wulxETE2Ncf/31xvbt2423337bCAsLM/7617/W3xtUzwhKDejSSy817rzzTo+yHj16GLNmzWqkFqGu5eXlGZKM1atXG4ZhGOXl5UZsbKwxf/58d51Tp04ZDofDeOmllwzDMIyCggIjKCjIWLp0qbvODz/8YLRq1crIzMw0DMMwdu3aZUgy1q9f766zbt06Q5Lx9ddfG4ZxZmPaqlUr44cffnDXeeuttwy73W64XK76e9Hw6dixY0a3bt2MVatWGUOHDnUHJdYN/zZz5kxjyJAhlstZP/zX2LFjjdtuu82j7NprrzVuuukmwzBYN/yZOSg1tXXhxRdfNBwOh3Hq1Cl3nfT0dMPpdBrl5eV1+E40HE69ayAlJSXasmWLkpOTPcqTk5O1du3aRmoV6prL5ZIkRURESJKys7OVm5vr8bnb7XYNHTrU/blv2bJFpaWlHnWcTqcSExPdddatWyeHw6GBAwe66wwaNEgOh8OjTmJiopxOp7vO6NGjVVxc7HE6DxrWXXfdpbFjx2rkyJEe5awb/m3FihW65JJL9Nvf/lbR0dHq16+fXn31Vfdy1g//NWTIEH3yySf65ptvJElffvml1qxZoyuuuEIS6wZ+1tTWhXXr1mno0KEek9eOHj1aBw8e1N69e+v+DWgAgY3dAH9x9OhRlZWVKSYmxqM8JiZGubm5jdQq1CXDMDRjxgwNGTJEiYmJkuT+bL197vv27XPXCQ4OVrt27SrUOXv/3NxcRUdHV3jO6Ohojzrm52nXrp2Cg4NZxxrJ0qVLtXXrVm3atKnCMtYN//b9999r4cKFmjFjhv7whz9o48aNmj59uux2u26++WbWDz82c+ZMuVwu9ejRQwEBASorK9Njjz2mG264QRLbDvysqa0Lubm56tKlS4XnObssISGhJi+zURGUGpjNZvP43zCMCmVonqZNm6avvvpKa9asqbCsJp+7uY63+jWpg4aRk5Oje+65RytXrlTr1q0t67Fu+Kfy8nJdcsklmjdvniSpX79+2rlzpxYuXKibb77ZXY/1w/8sW7ZMixcv1ptvvqnevXsrKytLaWlpcjqduuWWW9z1WDdwVlNaF7y1xeq+zQGn3jWQqKgoBQQEVDgCk5eXVyGho/m5++67tWLFCn366afq1KmTuzw2NlaSfH7usbGxKikpUX5+vs86hw8frvC8R44c8ahjfp78/HyVlpayjjWCLVu2KC8vT/3791dgYKACAwO1evVqPfvsswoMDPQ4ynYu1g3/0KFDB/Xq1cujrGfPntq/f78kth3+7IEHHtCsWbN0/fXXq0+fPkpNTdW9996r9PR0Sawb+FlTWxe81cnLy5NUsderuSAoNZDg4GD1799fq1at8ihftWqVBg8e3EitQm0ZhqFp06bpnXfe0b///e8K3coJCQmKjY31+NxLSkq0evVq9+fev39/BQUFedQ5dOiQduzY4a6TlJQkl8uljRs3uuts2LBBLpfLo86OHTt06NAhd52VK1fKbrerf//+df/i4dOIESO0fft2ZWVluW+XXHKJbrzxRmVlZalr166sG37ssssuqzCVwDfffKPOnTtLYtvhz06ePKlWrTx3zwICAtzDg7Nu4Kymti4kJSXp888/9xgyfOXKlXI6nRVOyWs2Gm7cCJwdHvy1114zdu3aZaSlpRlt2rQx9u7d29hNQw39/ve/NxwOh/HZZ58Zhw4dct9OnjzprjN//nzD4XAY77zzjrF9+3bjhhtu8Dp0Z6dOnYyPP/7Y2Lp1q/HrX//a69Cdffv2NdatW2esW7fO6NOnj9ehO0eMGGFs3brV+Pjjj41OnToxjGsTcu6od4bButFUZWdnG5KMRYsWucsWLVpkSDKys7Pr5Dk2btxoBAYGGo899pjx7bffGkuWLDFCQ0ONxYsXu+vMnz/fCAkJMSQZmZmZrB9+4pZbbjE6duzoHh78nXfeMaKioowHH3zQXYdth/84duyYsW3bNmPbtm2GJOOpp54ytm3b5p5apimtCwUFBUZMTIxxww03GNu3bzfeeecdIzw8nOHBUXUvvPCC0blzZyM4ONi4+OKL3cNIo3mS5PV27g5WeXm58ec//9mIjY017Ha78atf/crYvn27x+MUFRUZ06ZNMyIiIoyQkBAjJSXF2L9/v0edH3/80bjxxhuNsLAwIywszLjxxhuN/Px8jzr79u0zxo4da4SEhBgRERHGtGnTPIbpROMyByXWjaapIYKSYRjGe++9ZyQmJhp2u93o0aOH8corr3gsLy8vN6666ipDkhEcHMz64ScKCwuNe+65x4iPjzdat25tdO3a1ZgzZ45RXFzsrsO2w398+umnXvczbrnlFsMwmt668NVXXxm//OUvDbvdbsTGxhpz585ttkODG4Zh2AyjOU+XCwBA3dq7d68SEhK0aNEi3XrrrZKkjIwMTZo0SdnZ2Q16CkljPS8AgGuUAAA18N1332nSpEnq1q2bQkND1bFjR1155ZXavn27u86RI0cUHByshx56qML9v/76a9lsNj377LPusjVr1igpKUmtW7dWx44d9dBDD+nvf/+7bDZblebg2LBhg6688kpFRkaqdevWOv/885WWluZR59tvv9XEiRMVHR0tu92unj176oUXXqjx+3Cud999VzabTZ988kmFZQsXLpTNZtNXX33lLluxYoWSkpIUGhqqsLAwjRo1SuvWrauTtgAAao+gBACotoMHDyoyMlLz589XZmamXnjhBQUGBmrgwIHuQQrat2+vlJQUvf766+4L0c9atGiRgoODdeONN0qSvvrqK40aNUonT57U66+/rpdeeklbt27VY489VqX2fPTRR/rlL3+p/fv366mnntK//vUv/fGPf/QYyWnXrl0aMGCAduzYoSeffFLvv/++xo4dq+nTp+vhhx+u9XuSkpKi6OhoLVq0qMKyjIwMXXzxxerbt68k6c0339RVV12l8PBwvfXWW3rttdeUn5+vYcOGeZ1iAADQCBr73D8AQPN3+vRpo6SkxOjWrZtx7733ustXrFhhSDJWrlzpUdfpdBrXXXedu+y3v/2t0aZNG+PIkSPusrKyMqNXr15Vujbo/PPPN84//3yjqKjIss7o0aONTp06GS6Xy6N82rRpRuvWrY2ffvrJMIzaXaM0Y8YMIyQkxCgoKHCX7dq1y5BkPPfcc+7X5XQ6jT59+hhlZWXueseOHTOio6ONwYMHV/t5AQB1jx4lAEC1nT59WvPmzVOvXr0UHByswMBABQcH69tvv9Xu3bvd9S6//HLFxsZ69LJ89NFHOnjwoG677TZ32erVq/XrX/9aUVFR7rJWrVpp/Pjxlbblm2++0X//+1/dfvvtlpP7njp1Sp988omuueYahYaG6vTp0+7bFVdcoVOnTmn9+vU1eSs83HbbbSoqKtKyZcvcZYsWLZLdbtfEiRMlSXv27NHBgweVmprqMQz0eeedp+uuu07r16/XyZMna90WAEDtEJQAANU2Y8YMPfTQQ7r66qv13nvvacOGDdq0aZMuvPBCFRUVuesFBgYqNTVVy5cvV0FBgaQzp6F16NBBo0ePdtf78ccfvU5IWJVJCo8cOSJJHpM9m/344486ffq0nnvuOQUFBXncrrjiCknS0aNHq/Tafendu7cGDBjgDoZlZWVavHixrrrqKkVERLjbIp2ZdNbM6XSqvLy8wuSQAICGF9jYDQAAND+LFy/WzTffrHnz5nmUHz16VG3btvUomzRpkp544gktXbpUEyZM0IoVK5SWlqaAgAB3ncjISK8zw5tnefemffv2kqQDBw5Y1mnXrp0CAgKUmpqqu+66y2sd84TRNTVp0iRNnTpVu3fv1vfff69Dhw5p0qRJ7uWRkZGS5DFx41kHDx5Uq1at1K5duzppCwCg5ghKAIBqs9lsstvtHmUffPCBfvjhB/3iF7/wKO/Zs6cGDhyoRYsWqaysTMXFxR7BQZKGDh2qDz/8UEePHnWffldeXq5//OMflbblggsu0Pnnn6//+Z//0YwZMyq0S5JCQ0M1fPhwbdu2TX379lVwcHB1X3KV3XDDDZoxY4YyMjL0/fffq2PHjkpOTnYv7969uzp27Kg333xT999/v2w2myTpxIkTevvtt90j4QEAGhdBCQBQbSkpKcrIyFCPHj3Ut29fbdmyRU888YTl6W+33XabpkyZooMHD2rw4MHq3r27x/I5c+bovffe04gRIzRnzhyFhITopZde0okTJyTJ41oeb1544QVdeeWVGjRokO69917Fx8dr//79+uijj7RkyRJJ0t/+9jcNGTJEv/zlL/X73/9eXbp00bFjx/Tdd9/pvffe07///e86eGektm3b6pprrlFGRoYKCgp0//33e7S/VatWevzxx3XjjTcqJSVFU6ZMUXFxsZ544gkVFBRo/vz5ddIOAEDtcI0SAKDa/va3v+mmm25Senq6rrzySq1YsULvvPOOzj//fK/1r7/+eoWEhOjAgQMVepMk6cILL9SqVasUEhKim2++WXfccYd69+6tqVOnSpIcDofP9owePVqff/65OnTooOnTp2vMmDF65JFHPK5x6tWrl7Zu3arExET98Y9/VHJysm6//Xb93//9n0aMGFGLd6OiSZMmKS8vTyUlJe5Ja881ceJEvfvuu/rxxx81YcIETZo0SeHh4fr00081ZMiQOm0LAKBmbIZhGI3dCAAAvElOTtbevXv1zTffNHZTAAB+hlPvAABNwowZM9SvXz/FxcXpp59+0pIlS7Rq1Sq99tprjd00AIAfIigBAJqEsrIy/elPf1Jubq5sNpt69eqlN954QzfddFNjNw0A4Ic49Q4AAAAATBjMAQAAAABMCEoAAAAAYEJQAgAAAAATvxjMoby8XAcPHlRYWJh7BnQAAAAA/scwDB07dkxOp9PnhOZ+EZQOHjyouLi4xm4GAAAAgCYiJydHnTp1slzuF0EpLCxM0pk3Izw8vJFbAwAAAKCxFBYWKi4uzp0RrPhFUDp7ul14eDhBCQAAAECll+QwmAMAAAAAmBCUAAAAAMCEoAQAAAAAJn5xjRJqZtv+fGUfPaGEqDbqF9+uyT5mc+Vv78WyTfv1ZU6BLoxrqwkD4i3r+dv7guqp6noEAP6K39G6YzMMw2jsRtS3wsJCORwOuVwuBnOoovn/2q2XVn/v/v/OoV016/KeTe4xmytf70WXWR9UqL93/tgGa1tdW7Zpvxb862v9dLLUXXZRnEPv3jWkQl3WkYqe+Ohrbd2Xr4s7t9MDo3s0dnMa1dUvrFFWjsv9v9V6BBCoq++Jj77W6j1HFOtorbuG/6LJ7mB7CwHnbicl+fU2k9/RqqlqNiAoNQJvO8IA0FzZJE0dfn6FnZLqbuvsATbteewKr8ta+nZz7/yxHq/R18GRc+t1jzlPew4fr9Lje7t/U2F+/Wi6GurAnbf14c6hXT1CAJqvxj4A3KBBKT09XX/4wx90zz336JlnnpF0Zsbbhx9+WK+88ory8/M1cOBAvfDCC+rdu7f7fsXFxbr//vv11ltvqaioSCNGjNCLL77oMfFTfn6+pk+frhUrVkiSxo0bp+eee05t27atcvuaUlDihwBAS9U+LFib5oySxLauKSKMoDEM795eiyZdWqW6rJ/+pTHDUoMFpU2bNmn8+PEKDw/X8OHD3UFpwYIFeuyxx5SRkaELLrhAjz76qD7//HPt2bPHPbnT73//e7333nvKyMhQZGSk7rvvPv3000/asmWLAgICJEmXX365Dhw4oFdeeUWSdMcdd6hLly567733qtzGphKU2AAAaOnuGn6+Xvj0v43dDABAM9BYYamq2aBWo94dP35cN954o1599VW1a/fzuayGYeiZZ57RnDlzdO211yoxMVGvv/66Tp48qTfffFOS5HK59Nprr+nJJ5/UyJEj1a9fPy1evFjbt2/Xxx9/LEnavXu3MjMz9fe//11JSUlKSkrSq6++qvfff1979uypTdMbHCEJgD8gJAEAWopaBaW77rpLY8eO1ciRIz3Ks7OzlZubq+TkZHeZ3W7X0KFDtXbtWknSli1bVFpa6lHH6XQqMTHRXWfdunVyOBwaOHCgu86gQYPkcDjcdbwpLi5WYWGhxw0AAAAAqqrGw4MvXbpUW7du1aZNmyosy83NlSTFxMR4lMfExGjfvn3uOsHBwR49UWfrnL1/bm6uoqOjKzx+dHS0u4436enpevjhh6v3ggAAAAA0iAXX9WnsJlSqRj1KOTk5uueee7R48WK1bt3asp7NZvP43zCMCmVm5jre6lf2OLNnz5bL5XLfcnJyfD5nQ2js0T0AoL7tnT+WbR0AoFL94hzNYuj+GgWlLVu2KC8vT/3791dgYKACAwO1evVqPfvsswoMDHT3JJl7ffLy8tzLYmNjVVJSovz8fJ91Dh8+XOH5jxw5UqG36lx2u13h4eEet6aAHQgALdW52ze2dQAAKwuu66PlzWQOvBqdejdixAht377do2zSpEnq0aOHZs6cqa5duyo2NlarVq1Sv379JEklJSVavXq1FixYIEnq37+/goKCtGrVKo0fP16SdOjQIe3YsUOPP/64JCkpKUkul0sbN27UpZeeGVpyw4YNcrlcGjx4cM1ecSNr6jsQv8vYqI+/PmK5vCbt37Y/X9e86P2aMpuk7Cb+ntSlrrM+ULmX8laSvje9D77mVDk74V5pWbmCAlrpv0eOK/9EiS6MaytJ+jKnQMWny2UPbFXhb7s2wTq//Xnu+5r/nvtY3o72nH3u/3x3VAcLitQ6KEAdHK3dj3/IdUqf7rFeh85aPnWw+zV8svuwVu7K81qvg8OudbNHel3WnFQ2oMu5n/FvF/5Hm/YVeK3XNiRQWX8eXZdNqxdnX8+2/fn6bM+Zz3ZY92j3BJHnThr5zeFjlU4O2vfPmSosLqtQHhkapC1/SvZyj4rOPue56/gFMWFeZ7A31z37vTlbz9ukl96eKyGqjSRZ1q3q3End53yo4jKjwlxTZydWNbdPqjhBr9lT4y+0bH9z1O0PH6jU2wZW0oDObfWP31/WsA1q4s6uozP/70vL921kj/b6+61VG9rbrLaDWJ39jXjm42+Ud+yUHCHBOlxYXO3Hsfr9NK/7505SfHa7cPZ30dv3xNc2oLLtg5Wa3u8sq+9AUCvp23n+s69Vl2oUlMLCwpSYmOhR1qZNG0VGRrrL09LSNG/ePHXr1k3dunXTvHnzFBoaqokTJ0qSHA6Hbr/9dt13332KjIxURESE7r//fvXp08c9OETPnj01ZswYTZ48WS+//LKkM8ODp6SkqHv37jV+0WhYvr7sLX62YxN7UCsVedmK2YMqdu762mnqF9/O5/tan93ZZ5/72os7Wdapyg/kua9h6758y3qlpy1+wVuwb/OsJxAtb2ZzhFutq+eW94tvV+k6W2bxsk9VY/3w1Zaq1q3pcqu6VT34ZDUR74QB8Zbv3bt3DfHY+Vu2KUff5h1Tt+gwvTO15YWGch9fjZMlFUO2vzu7js5Zvl2l5d6/R707Omr8+HVxYNj8W1NZ+K/qY3r7Ppq/S5UFFV/bgMq2DzV5zKoICmjl9bMMCqjV2G1+rcaDOVTmwQcfVFFRkaZOneqecHblypXuOZQk6emnn1ZgYKDGjx/vnnA2IyPDPYeSJC1ZskTTp093j443btw4Pf/88/XVbL9XeOp0YzehRSu3+CW3Km+urru4o97e+kOdPFbLeme8G969vcf/hUXW38NgP/3BO2Gxo2tVjjPO3flrDtcD1Bd/2I7UVGhQgNcDeNKZXuCm5Nzwv2xTjuUBFH9ldf1+ZeMDwFqdBaXPPvvM43+bzaa5c+dq7ty5lvdp3bq1nnvuOT333HOWdSIiIrR48eI6aiUqE9663rIzJJVaBCKr8ubqyfEX6cPthyx/fKvDHzbv5lnrfa0NLWtNARpGn1r0jLR0wYHeD760CW7VJE/LPBv+/7GZoGR2usz7b65VOSrnn4cmgUZiddZUMzubqkp2/+XyKtf96kCB5bIW+NZUqpWPdOgPwdEbq9ftr+8HKgr08cW5/lL/7U2rjNWBupBgDpw2N6UWydGqHJUjKMEDp96hMeTkF1ku88cd4XahQZbL/PXnzmof2FeohH85z+59x751oK1J9ow0FUEWXyKr8qaC08m84IhSnSMowUPOTycbuwktmtVOrr/u/J4V4OMH2R8vQg0LsQ5K/vp7Z3V2ags7axW1YLXfbBWgcEZ8ZGi1ypsKoyWeilFLARbfAatyVM7/9kDg05Hj1kNvBgVYLkIVcbDHuwFdIqwX+uGb09rimgFJOq+1dYhqyax2gjmojLMY8KNmrEYw9TWyaVPQii9/BVbvCe9VzRGU4MnHAZrgQJIS6sddw39hueyn4yUN2JKm4WDBKctlAxN8hMqWjO5YVKJNsPffKKtynDFhQLwuivMc7KJfnKPJj5LobBvS2E1ocqymj2hu00o0JQQleGgfZrdcdoqjcrXGvp533xw+Zrms2A8vQj3m41pBf70o3WrMJsZywlkTLL4bVuX42bt3DdGC6/po4qVxWnBdHy2/a0hjN6lSV/Tt0NhNaHKsBrdj0Lua48RdeIiLCNUhi5mv/W93te7Z5P199PdO8U92H7Zc1lKO5pxnD9Dx4ooHG86zVzza7es3jYvSAe8eGN1D/7s5R0eO/dwLHR0WrAdG92jEVjUfviYvbore2XKgsZvQ5HBAqe61lH0Q1BFfF0eGBLG61FaQxRWVVuX+YuWuPMtlvkaAa05uGdylyuVcy1YRFymjKjbNGaW7hp+vpK4Rumv4+do4Z1RjNwn15McT/ndadmWsdtPYfas5epTgwddFr706hDdgS1oqTr6rrg4t5Dz06hzttgfadOp0xXXCHui/qSA4sJXXCYytJsuE/6IHyT8kRLXRnsPHG7sZTUpQQCuVllfcTvrj6LF1hXcOHnzthjl8DFmMqrG63KalXoZTFz1oQ7u3r6vmNLqqHu32p4mJq4p5lACc66N7hzZ2E5ocDsXWPYISPCR2dFguO+SyHomrMnaLHWOr8pbKaj6PljrPx7gLndUq96alHR1+YHQPvXVHks/XFWBx9M+q3B90iWpTrXIALd91F3f0ubxDuPUAVS0RB5Tqnv/+6sIrXyNq/VSL84F/96uu1SpvqW4a1Lla5c3dk+MvqnBtW0hQKz05/iKPslCLE6ityls6qyHA/XZocEk3J3WpVjmAls/bb8y50kZd0ICtaXwcUKp7/rkXAkv94tvJEeK9dyOkFnNRPDC6h9qHBXuU+eNoRP74Puz+y+W67uKO+kX7Nrru4o7a/ZfLK9RhkAtPiyZdWmGQggDbmXJ/1VznegFQv87+xpjPUPHH7QMHlOqezfA1zFkLUVhYKIfDIZfLpfBwBiSozBMffa0XPv1vhfK7hp9f6x36Jz76Wlv35evizu1adDioDO+Dp8vmf6IfvEyy2rFta/1n1ohGaFHTMGnRRu086FJvp8OvQ9K5lm3ary9zCnRhXFu/2wkC4BvbB+nqF9YoK8fl/r9fnKNZzIvV0KqaDQhK8GrAY6sqjM7FMKuoL/UZzgEA8CcExsoRlM5BUKoZej3QkAjnAACgIRCUzkFQApoHwjkAAKhvVc0GLXNMYgDNEuEIAAA0FYx6BwAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAACTGgelhQsXqm/fvgoPD1d4eLiSkpL0r3/9y73cMAzNnTtXTqdTISEhGjZsmHbu3OnxGMXFxbr77rsVFRWlNm3aaNy4cTpw4IBHnfz8fKWmpsrhcMjhcCg1NVUFBQU1bTYAAAAAVKrGQalTp06aP3++Nm/erM2bN+vXv/61rrrqKncYevzxx/XUU0/p+eef16ZNmxQbG6tRo0bp2LFj7sdIS0vT8uXLtXTpUq1Zs0bHjx9XSkqKysrK3HUmTpyorKwsZWZmKjMzU1lZWUpNTa3FSwYAAAAA32yGYRh19WARERF64okndNttt8npdCotLU0zZ86UdKb3KCYmRgsWLNCUKVPkcrnUvn17vfHGG5owYYIk6eDBg4qLi9OHH36o0aNHa/fu3erVq5fWr1+vgQMHSpLWr1+vpKQkff311+revXuV2lVYWCiHwyGXy6Xw8PC6erkAAAAAmpmqZoM6uUaprKxMS5cu1YkTJ5SUlKTs7Gzl5uYqOTnZXcdut2vo0KFau3atJGnLli0qLS31qON0OpWYmOius27dOjkcDndIkqRBgwbJ4XC46wAAAABAXQuszZ23b9+upKQknTp1Suedd56WL1+uXr16uUNMTEyMR/2YmBjt27dPkpSbm6vg4GC1a9euQp3c3Fx3nejo6ArPGx0d7a7jTXFxsYqLi93/FxYW1uwFAgAAAPBLtepR6t69u7KysrR+/Xr9/ve/1y233KJdu3a5l9tsNo/6hmFUKDMz1/FWv7LHSU9Pdw/+4HA4FBcXV9WXBAAAAAC1C0rBwcH6xS9+oUsuuUTp6em68MIL9be//U2xsbGSVKHXJy8vz93LFBsbq5KSEuXn5/usc/jw4QrPe+TIkQq9VeeaPXu2XC6X+5aTk1OblwkAAADAz9TpPEqGYai4uFgJCQmKjY3VqlWr3MtKSkq0evVqDR48WJLUv39/BQUFedQ5dOiQduzY4a6TlJQkl8uljRs3uuts2LBBLpfLXccbu93uHrb87A0AAAAAqqrG1yj94Q9/0OWXX664uDgdO3ZMS5cu1WeffabMzEzZbDalpaVp3rx56tatm7p166Z58+YpNDRUEydOlCQ5HA7dfvvtuu+++xQZGamIiAjdf//96tOnj0aOHClJ6tmzp8aMGaPJkyfr5ZdfliTdcccdSklJqfKIdwAAAABQXTUOSocPH1ZqaqoOHTokh8Ohvn37KjMzU6NGjZIkPfjggyoqKtLUqVOVn5+vgQMHauXKlQoLC3M/xtNPP63AwECNHz9eRUVFGjFihDIyMhQQEOCus2TJEk2fPt09Ot64ceP0/PPP17TZAAAAAFCpOp1HqaliHiUAAAAAUgPPowQAAAAALQlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACASY2DUnp6ugYMGKCwsDBFR0fr6quv1p49ezzqGIahuXPnyul0KiQkRMOGDdPOnTs96hQXF+vuu+9WVFSU2rRpo3HjxunAgQMedfLz85WamiqHwyGHw6HU1FQVFBTUtOkAAAAA4FONg9Lq1at11113af369Vq1apVOnz6t5ORknThxwl3n8ccf11NPPaXnn39emzZtUmxsrEaNGqVjx46566SlpWn58uVaunSp1qxZo+PHjyslJUVlZWXuOhMnTlRWVpYyMzOVmZmprKwspaam1rTpAAAAAOCTzTAMoy4e6MiRI4qOjtbq1av1q1/9SoZhyOl0Ki0tTTNnzpR0pvcoJiZGCxYs0JQpU+RyudS+fXu98cYbmjBhgiTp4MGDiouL04cffqjRo0dr9+7d6tWrl9avX6+BAwdKktavX6+kpCR9/fXX6t69e6VtKywslMPhkMvlUnh4eF28XAAAAADNUFWzQZ1do+RyuSRJERERkqTs7Gzl5uYqOTnZXcdut2vo0KFau3atJGnLli0qLS31qON0OpWYmOius27dOjkcDndIkqRBgwbJ4XC465gVFxersLDQ4wYAAAAAVVUnQckwDM2YMUNDhgxRYmKiJCk3N1eSFBMT41E3JibGvSw3N1fBwcFq166dzzrR0dEVnjM6Otpdxyw9Pd19PZPD4VBcXFztXiAAAAAAv1InQWnatGn66quv9NZbb1VYZrPZPP43DKNCmZm5jrf6vh5n9uzZcrlc7ltOTk5VXgYAAAAASKqDoHT33XdrxYoV+vTTT9WpUyd3eWxsrCRV6PXJy8tz9zLFxsaqpKRE+fn5PuscPny4wvMeOXKkQm/VWXa7XeHh4R43AAAAAKiqGgclwzA0bdo0vfPOO/r3v/+thIQEj+UJCQmKjY3VqlWr3GUlJSVavXq1Bg8eLEnq37+/goKCPOocOnRIO3bscNdJSkqSy+XSxo0b3XU2bNggl8vlrgMAAAAAdSmwpne866679Oabb+qf//ynwsLC3D1HDodDISEhstlsSktL07x589StWzd169ZN8+bNU2hoqCZOnOiue/vtt+u+++5TZGSkIiIidP/996tPnz4aOXKkJKlnz54aM2aMJk+erJdfflmSdMcddyglJaVKI94BAAAAQHXVOCgtXLhQkjRs2DCP8kWLFunWW2+VJD344IMqKirS1KlTlZ+fr4EDB2rlypUKCwtz13/66acVGBio8ePHq6ioSCNGjFBGRoYCAgLcdZYsWaLp06e7R8cbN26cnn/++Zo2HQAAAAB8qrN5lJoy5lECAAAAIDXCPEoAAAAA0FIQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAACTGgelzz//XFdeeaWcTqdsNpveffddj+WGYWju3LlyOp0KCQnRsGHDtHPnTo86xcXFuvvuuxUVFaU2bdpo3LhxOnDggEed/Px8paamyuFwyOFwKDU1VQUFBTVtNgAAAABUqsZB6cSJE7rwwgv1/PPPe13++OOP66mnntLzzz+vTZs2KTY2VqNGjdKxY8fcddLS0rR8+XItXbpUa9as0fHjx5WSkqKysjJ3nYkTJyorK0uZmZnKzMxUVlaWUlNTa9psAAAAAKiUzTAMo9YPYrNp+fLluvrqqyWd6U1yOp1KS0vTzJkzJZ3pPYqJidGCBQs0ZcoUuVwutW/fXm+88YYmTJggSTp48KDi4uL04YcfavTo0dq9e7d69eql9evXa+DAgZKk9evXKykpSV9//bW6d+9epfYVFhbK4XDI5XIpPDy8ti8XAAAAQDNV1WxQL9coZWdnKzc3V8nJye4yu92uoUOHau3atZKkLVu2qLS01KOO0+lUYmKiu866devkcDjcIUmSBg0aJIfD4a7jTXFxsQoLCz1uAAAAAFBV9RKUcnNzJUkxMTEe5TExMe5lubm5Cg4OVrt27XzWiY6OrvD40dHR7jrepKenu69pcjgciouLq9XrAQAAAOBf6nXUO5vN5vG/YRgVyszMdbzVr+xxZs+eLZfL5b7l5ORUs+VAw7j2xf+oz9xMXfvifxq7KQAAADhHvQSl2NhYSarQ65OXl+fuZYqNjVVJSYny8/N91jl8+HCFxz9y5EiF3qpz2e12hYeHe9yApqbLrA+0dX+Bjp0q09b9Beoy64PGbhIAAAD+f/USlBISEhQbG6tVq1a5y0pKSrR69WoNHjxYktS/f38FBQV51Dl06JB27NjhrpOUlCSXy6WNGze662zYsEEul8tdB2iOrHqQ6FkCAABoGgJresfjx4/ru+++c/+fnZ2trKwsRUREKD4+XmlpaZo3b566deumbt26ad68eQoNDdXEiRMlSQ6HQ7fffrvuu+8+RUZGKiIiQvfff7/69OmjkSNHSpJ69uypMWPGaPLkyXr55ZclSXfccYdSUlKqPOId0BR9m3esWuUAAABoWDUOSps3b9bw4cPd/8+YMUOSdMsttygjI0MPPvigioqKNHXqVOXn52vgwIFauXKlwsLC3Pd5+umnFRgYqPHjx6uoqEgjRoxQRkaGAgIC3HWWLFmi6dOnu0fHGzdunOXcTUBz0S06TFv3F3gtBwAAQOOrk3mUmjrmUUJT5O2apL3zxzZCSwAAAPxHo86jBKBye+eP1cXxbRXWOkAXx7clJAEAADQhNT71DkDtvTP1ssZuAgAAALygRwkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwISgBAAAAgAlBCQAAAABMCEoAAAAAYEJQAgAAAAATghIAAAAAmBCUAAAAAMCEoAQAAAAAJgQlAAAAADAhKAEAAACACUEJAAAAAEwISgAAAABgQlACAAAAABOCEgAAAACYEJQAAAAAwISgBAAAAAAmBCUAAAAAMCEoAQAAAIAJQQkAAAAATAhKAAAAAGBCUAIAAAAAE4ISAAAAAJgQlAAAAADAhKAEAAAAACYEJQAAAAAwaTZB6cUXX1RCQoJat26t/v3764svvmjsJgEAAABooQIbuwFVsWzZMqWlpenFF1/UZZddppdfflmXX365du3apfj4+MZuHuC2bX++so+eUEJUG/WLb1fn9Zubbfvz9dmePEnSsO7RLfI11kRL+Ny37c/X0o37tWzzgUrr7p0/1nLZsk379cnuw2oXGqzrL423fD9awnsGT8s27deXOQW6MK6tJgzgt7y5qsl3s8usD3wut9pmnHs/X9sVoK7YDMMwGrsRlRk4cKAuvvhiLVy40F3Ws2dPXX311UpPT6/0/oWFhXI4HHK5XAoPD6/PpsKPzf/Xbr20+nv3/3cO7apZl/ess/rNjfn1SS3vNdZES/jcvX22lfG2U3P1C2uUlePyKPP2frSE9wyezJ/9RXEOvXvXkEZsEWqiJt/NykLSWeZthrf7EZZQU1XNBk3+1LuSkhJt2bJFycnJHuXJyclau3at1/sUFxersLDQ4wbUp2378yvsOL60+ntt259fJ/WbG2+vT2pZr7EmWsLnbvXZVsa8k7Ns0/4KIUmq+H60hPcMnrx99lk5Li3btL+RWoSaqMl3s6ohyVzX6n7VeTygJpp8UDp69KjKysoUExPjUR4TE6Pc3Fyv90lPT5fD4XDf4uLiGqKp8GPZR0/Ua3lz4+t1tJTXWBMt4XOvq7Z+mVNQpedoCe8ZPFl99r7WCTQ9fDfhD5p8UDrLZrN5/G8YRoWys2bPni2Xy+W+5eTkNEQT4ccSotrUa3lz4+t1tJTXWBMt4XOvq7ZeGNe2Ss/REt4zeLL67H2tE2h6+G7CHzT5oBQVFaWAgIAKvUd5eXkVepnOstvtCg8P97gB9alffDvdObSrR9nvh3a1vLC1uvWbG2+vT2pZr7EmWsLnbvXZVsZ8LcGEAfG6KM5RoZ75/WgJ7xk8efvs+8U5GNChmanJd7M61xSdW9fqflyjhPrWbAZz6N+/v1588UV3Wa9evXTVVVcxmAOaFEa988Sod961hM+dUe9QW4x61zIw6h2ao6pmg2YRlJYtW6bU1FS99NJLSkpK0iuvvKJXX31VO3fuVOfOnSu9P0EJAAAAgFT1bNAs5lGaMGGCfvzxRz3yyCM6dOiQEhMT9eGHH1YpJAEAAABAdTWLHqXaokcJAAAAgNSC5lECAAAAgIbWLE69q63/j707j4uq3v8H/hq2YQlGFmEcBcWiXHBBNHMpNBUytFt209xSs/vVXMlS8dpifhPUyrq53vr11W5mWlctu2aKZZRhSYCGmkuJggvhggNug8Ln94eXk7MywOzn9Xw8eOh8zmfOfM6Zz5xz3ufzOZ9PbaMZJ54lIiIiIpK32pigro51sgiUKisrAYATzxIREREREYBbMYJKZTxVRS1ZPKNUU1ODM2fOIDg42OwktY5SUVGB6OholJSU8HkpMsL6QeawbpAlrB9kDusGWSLX+iGEQGVlJTQaDby8zD+JJIsWJS8vL7Ro0cLZxdDDiXDJEtYPMod1gyxh/SBzWDfIEjnWD0stSbU4mAMREREREZEBBkpEREREREQGGCg5mFKpxCuvvAKlUunsopALYv0gc1g3yBLWDzKHdYMsYf2wTBaDORAREREREdUHW5SIiIiIiIgMMFAiIiIiIiIywECJiIiIiIjIAAMlIiIiIiIiAwyUHGzFihWIjY2Fv78/EhMT8f333zu7SNQImZmZ6NatG4KDgxEZGYlHH30UR44c0csjhMC8efOg0WgQEBCAPn364ODBg3p5dDodpk6dioiICAQFBeGRRx7BqVOn9PKUl5dj9OjRUKlUUKlUGD16NC5duqSXp7i4GIMHD0ZQUBAiIiIwbdo0VFVV2WXbqX4yMzOhUCiQlpYmpbFuyNvp06cxatQohIeHIzAwEJ07d0ZeXp60nPVDnm7evIkXX3wRsbGxCAgIQOvWrTF//nzU1NRIeVg35OO7777D4MGDodFooFAo8Nlnn+ktd7W6UFhYiKSkJAQEBKB58+aYP38+3HrcOEEOs379euHr6yvee+89cejQITF9+nQRFBQkTp486eyiUQOlpKSI1atXiwMHDoh9+/aJ1NRUERMTIy5fvizlWbhwoQgODhYbN24UhYWFYtiwYaJZs2aioqJCyjNx4kTRvHlzkZWVJfLz80Xfvn1Fp06dxM2bN6U8Dz30kIiPjxc5OTkiJydHxMfHi0GDBknLb968KeLj40Xfvn1Ffn6+yMrKEhqNRkyZMsUxO4PM2rt3r2jVqpXo2LGjmD59upTOuiFfFy9eFC1bthRjx44VP/30kygqKhI7d+4Uv/32m5SH9UOeXnvtNREeHi7+85//iKKiIvHpp5+KO+64Q7z99ttSHtYN+fjyyy/F3LlzxcaNGwUAsXnzZr3lrlQXtFqtiIqKEk8++aQoLCwUGzduFMHBweKNN96w3w6yMwZKDnTvvfeKiRMn6qW1adNGpKenO6lEZGtlZWUCgMjOzhZCCFFTUyPUarVYuHChlOf69etCpVKJVatWCSGEuHTpkvD19RXr16+X8pw+fVp4eXmJr776SgghxKFDhwQA8eOPP0p59uzZIwCIw4cPCyFuHUy9vLzE6dOnpTwff/yxUCqVQqvV2m+jyaLKykoRFxcnsrKyRFJSkhQosW7I2+zZs0Xv3r3NLmf9kK/U1FTx9NNP66UNGTJEjBo1SgjBuiFnhoGSq9WFFStWCJVKJa5fvy7lyczMFBqNRtTU1NhwTzgOu945SFVVFfLy8pCcnKyXnpycjJycHCeVimxNq9UCAMLCwgAARUVFKC0t1fvelUolkpKSpO89Ly8PN27c0Muj0WgQHx8v5dmzZw9UKhW6d+8u5bnvvvugUqn08sTHx0Oj0Uh5UlJSoNPp9LrzkGNNnjwZqamp6N+/v14664a8bdmyBV27dsUTTzyByMhIJCQk4L333pOWs37IV+/evfH111/j6NGjAID9+/dj9+7dePjhhwGwbtCfXK0u7NmzB0lJSXqT16akpODMmTM4ceKE7XeAA/g4uwBycf78eVRXVyMqKkovPSoqCqWlpU4qFdmSEAIzZsxA7969ER8fDwDSd2vqez958qSUx8/PD6GhoUZ5at9fWlqKyMhIo8+MjIzUy2P4OaGhofDz82Mdc5L169cjPz8fubm5RstYN+Tt+PHjWLlyJWbMmIG///3v2Lt3L6ZNmwalUomnnnqK9UPGZs+eDa1WizZt2sDb2xvV1dVYsGABhg8fDoDHDvqTq9WF0tJStGrVyuhzapfFxsY2ZDOdioGSgykUCr3XQgijNHJPU6ZMwS+//ILdu3cbLWvI926Yx1T+huQhxygpKcH06dOxY8cO+Pv7m83HuiFPNTU16Nq1KzIyMgAACQkJOHjwIFauXImnnnpKysf6IT8bNmzA2rVrsW7dOrRv3x779u1DWloaNBoNxowZI+Vj3aBarlQXTJXF3HvdAbveOUhERAS8vb2N7sCUlZUZRejkfqZOnYotW7Zg165daNGihZSuVqsBwOL3rlarUVVVhfLycot5/vjjD6PPPXfunF4ew88pLy/HjRs3WMecIC8vD2VlZUhMTISPjw98fHyQnZ2Nd955Bz4+Pnp32W7HuiEPzZo1Q7t27fTS2rZti+LiYgA8dsjZzJkzkZ6ejieffBIdOnTA6NGj8dxzzyEzMxMA6wb9ydXqgqk8ZWVlAIxbvdwFAyUH8fPzQ2JiIrKysvTSs7Ky0LNnTyeVihpLCIEpU6Zg06ZN+Oabb4yalWNjY6FWq/W+96qqKmRnZ0vfe2JiInx9ffXynD17FgcOHJDy9OjRA1qtFnv37pXy/PTTT9BqtXp5Dhw4gLNnz0p5duzYAaVSicTERNtvPFnUr18/FBYWYt++fdJf165dMXLkSOzbtw+tW7dm3ZCxXr16GU0lcPToUbRs2RIAjx1ydvXqVXh56V+eeXt7S8ODs25QLVerCz169MB3332nN2T4jh07oNFojLrkuQ3HjRtBtcODv//+++LQoUMiLS1NBAUFiRMnTji7aNRAzz77rFCpVOLbb78VZ8+elf6uXr0q5Vm4cKFQqVRi06ZNorCwUAwfPtzk0J0tWrQQO3fuFPn5+eLBBx80OXRnx44dxZ49e8SePXtEhw4dTA7d2a9fP5Gfny927twpWrRowWFcXcjto94JwbrhDEVFRQKAWL16tZS2evVqAUAUFRVZfO8PP/wgXnnlFVFeXt7ocuzdu1f4+PiIBQsWiGPHjomPPvpIBAYGirVr10p5WD/kacyYMaJ58+bS8OCbNm0SERERYtasWVIe1g35qKysFAUFBaKgoEAAEEuWLBEFBQXS1DKuVBcuXbokoqKixPDhw0VhYaHYtGmTCAkJ4fDgZL3ly5eLli1bCj8/P9GlSxdpGGlyTwBM/t1+EVZTUyNeeeUVoVarhVKpFA888IAoLCzUW8+1a9fElClTRFhYmAgICBCDBg0SxcXFenkuXLggRo4cKYKDg0VwcLAYOXKk0QXbyZMnRWpqqggICBBhYWFiypQpesN0knMZBkqsG47XmEDp9ddftyqftb744gsRHx8vlEqlaNOmjXj33Xf1lrN+yFNFRYWYPn26iImJEf7+/qJ169Zi7ty5QqfTSXlYN+Rj165dJq8zxowZI4Rwvbrwyy+/iPvvv18olUqhVqvFvHnz3HZocCGEUAjhztPlEhERWe/EiROIjY3F6tWrMXbsWADAmjVrMG7cOBQVFVnsHvLGG29g5syZdeYjIiLPwGeUiIhIz2+//YZx48YhLi4OgYGBaN68OQYPHozCwkIpz7lz5+Dn54eXXnrJ6P2HDx+GQqHAO++8I6Xt3r0bPXr0gL+/P5o3b46XXnoJ/+///T8oFAqr5tf46aefMHjwYISHh8Pf3x933nkn0tLS9PIcO3YMI0aMQGRkJJRKJdq2bYvly5c3eD/cbt68eZg5cyaAW88FKBQKKBQKfPvtt1KeDRs2oEePHggKCsIdd9yBlJQUFBQU6K1n7NixuOOOO3D48GGkpKQgKCgIzZo1w8KFCwEAP/74I3r37o2goCDcfffd+OCDD/Tev2bNGigUCmRlZWHcuHEICwtDUFAQBg8ejOPHj9tkW4mI6BYGSkREpOfMmTMIDw/HwoUL8dVXX2H58uXw8fFB9+7dpQEImjZtikGDBuGDDz6QHjKvtXr1avj5+WHkyJEAgF9++QUDBgzA1atX8cEHH2DVqlXIz8/HggULrCrP9u3bcf/996O4uBhLlizBtm3b8OKLL+qN0nTo0CF069YNBw4cwJtvvon//Oc/SE1NxbRp0/Dqq682ep8888wzmDp1KgBg06ZN2LNnD/bs2YMuXboAADIyMjB8+HC0a9cOn3zyCT788ENUVlbi/vvvx6FDh/TWdePGDQwZMgSpqan4/PPPMXDgQMyZMwd///vfMWbMGDz99NPYvHkz7rnnHowdO9bkxJ7jx4+Hl5cX1q1bh7fffht79+5Fnz59cOnSpUZvKxER/Zez+/4REZFru3nzpqiqqhJxcXHiueeek9K3bNkiAIgdO3bo5dVoNOLxxx+X0p544gkRFBQkzp07J6VVV1eLdu3aWfXMz5133inuvPNOce3aNbN5UlJSRIsWLYRWq9VLnzJlivD39xcXL14UQtjnGaXi4mLh4+Mjpk6dqpdeWVkp1Gq1GDp0qJQ2ZswYAUBs3LhRSrtx44Zo2rSpACDy8/Ol9AsXLghvb28xY8YMo7I+9thjep/1ww8/CADitddes7gNRERkPbYoERGRnps3byIjIwPt2rWDn58ffHx84Ofnh2PHjuHXX3+V8g0cOBBqtRqrV6+W0rZv344zZ87g6aefltKys7Px4IMPIiIiQkrz8vLC0KFD6yzL0aNH8fvvv2P8+PFmJ+69fv06vv76azz22GMIDAzEzZs3pb+HH34Y169fx48//tiQXWGV7du34+bNm3jqqaf0Ptvf3x9JSUl63fOAWxMvPvzww9JrHx8f3HXXXWjWrBkSEhKk9LCwMERGRuLkyZNGn1nbWlerZ8+eaNmyJXbt2mXbjSMikjEfZxeAiIhcy4wZM7B8+XLMnj0bSUlJCA0NhZeXF5555hlcu3ZNyufj44PRo0dj6dKluHTpEpo0aYI1a9agWbNmSElJkfJduHDB5GSD1kxAeO7cOQDQm8jZ0IULF3Dz5k0sXboUS5cuNZnn/PnzdX5WQ9V2AezWrZvJ5YZz4gQGBhoFfX5+fggLCzN6r5+fH65fv26UXjvRpGHahQsXrC43ERFZxkCJiIj0rF27Fk899RQyMjL00s+fP48mTZropY0bNw6vv/461q9fj2HDhmHLli1IS0uDt7e3lCc8PNzkrO+GM7ib0rRpUwDAqVOnzOYJDQ2Ft7c3Ro8ejcmTJ5vMYzgZtC3VtpT9+9//liaMtTdT+660tBR33XWXQz6fiEgOGCgREZEehUIBpVKpl7Z161acPn3a6EK8bdu26N69O1avXo3q6mrodDqMGzdOL09SUhK+/PJLnD9/Xgoqampq8Omnn9ZZlrvvvht33nkn/u///g8zZswwKhdwq4Wmb9++KCgoQMeOHeHn51ffTbZK7Wff3qoGACkpKfDx8cHvv/+Oxx9/3C6fbeijjz7S+6ycnBycPHkSzzzzjEM+n4hIDhgoERGRnkGDBmHNmjVo06YNOnbsiLy8PLz++utmu789/fTTmDBhAs6cOYOePXvinnvu0Vs+d+5cfPHFF+jXrx/mzp2LgIAArFq1CleuXAFg3DXN0PLlyzF48GDcd999eO655xATE4Pi4mJs374dH330EQDgH//4B3r37o37778fzz77LFq1aoXKykr89ttv+OKLL/DNN980er906NBB+qwxY8bA19cX99xzD1q1aoX58+dj7ty5OH78OB566CGEhobijz/+wN69exEUFGSTkfdu9/PPP+OZZ57BE088gZKSEsydOxfNmzfHpEmTbPo5RERyxsEciIhIzz/+8Q+MGjUKmZmZGDx4MLZs2YJNmzbhzjvvNJn/ySefREBAAE6dOmXUmgQAnTp1QlZWFgICAvDUU0/hf/7nf9C+fXvpol6lUlksT0pKCr777js0a9YM06ZNw0MPPYT58+frPePUrl075OfnIz4+Hi+++CKSk5Mxfvx4/Pvf/0a/fv0asTf+1KdPH8yZMwdffPEFevfujW7duklDd8+ZMwf//ve/cfToUYwZMwYpKSmYNWsWTp48iQceeMAmn3+7999/H1VVVXjyyScxbdo0dO3aFd9++63J55yIiKhhFEII4exCEBGR/CQnJ+PEiRM4evSos4viNtasWYNx48YhNzcXXbt2dXZxiIg8GrveERGR3c2YMQMJCQmIjo7GxYsX8dFHHyErKwvvv/++s4tGRERkEgMlIiKyu+rqarz88ssoLS2FQqFAu3bt8OGHH2LUqFHOLhoREZFJ7HpHRERERERkwK6DOXz33XcYPHgwNBoNFAoFPvvsM73lQgjMmzcPGo0GAQEB6NOnDw4ePKiXR6fTYerUqYiIiEBQUBAeeeQRi/NpEBERERERNZZdA6UrV66gU6dOWLZsmcnlixcvxpIlS7Bs2TLk5uZCrVZjwIABqKyslPKkpaVh8+bNWL9+PXbv3o3Lly9j0KBBqK6utmfRiYiIiIhIxhzW9U6hUGDz5s149NFHAdxqTdJoNEhLS8Ps2bMB3Go9ioqKwqJFizBhwgRotVo0bdoUH374IYYNGwYAOHPmDKKjo/Hll18iJSXFEUUnIiIiIiKZcdpgDkVFRSgtLUVycrKUplQqkZSUhJycHEyYMAF5eXm4ceOGXh6NRoP4+Hjk5OSYDZR0Oh10Op30uqamBhcvXkR4eDgUCoX9NoqIiIiIiFyaEAKVlZXQaDQWJz13WqBUWloKAHoTBta+PnnypJTHz88PoaGhRnlq329KZmamzWdBJyIiIiIiz1FSUoIWLVqYXe704cENW3iEEHW2+tSVZ86cOZgxY4b0WqvVIiYmBiUlJQgJCWlcgYmIiIiIyG1VVFQgOjoawcHBFvM5LVBSq9UAbrUaNWvWTEovKyuTWpnUajWqqqpQXl6u16pUVlaGnj17ml23UqmEUqk0Sg8JCWGgREREREREdTbO2HXUO0tiY2OhVquRlZUlpVVVVSE7O1sKghITE+Hr66uX5+zZszhw4IDFQImIiIiIiKgx7NqidPnyZfz222/S66KiIuzbtw9hYWGIiYlBWloaMjIyEBcXh7i4OGRkZCAwMBAjRowAAKhUKowfPx7PP/88wsPDERYWhhdeeAEdOnRA//797Vl0IiIiIiKSMbsGSj///DP69u0rva59bmjMmDFYs2YNZs2ahWvXrmHSpEkoLy9H9+7dsWPHDr3+gm+99RZ8fHwwdOhQXLt2Df369cOaNWvg7e1tz6ITEREREZGMOWweJWeqqKiASqWCVqvlM0pERERERDJmbWzgtGeUiIiIiIiIXBUDJSIiIiIiIgMMlIiIiIiIiAwwUCIiIiIiIjLAQImIiIiIiMgAAyUiIiIiIiIDDJSIiIiIiIgMMFAiIiIiIiIywECJiIiIiIjIAAMlIiIiIiIiAwyUiIiIiIiIDDBQIiIiIiIiMsBAiYiIiIiIyAADJSIiIiIiIgMMlIiIiIiIiAwwUCIiIiIiIjLAQImIiIiIiMgAAyUiIiIiIiIDDJSIiIiIiIgMMFAiIiIiIiIywECJiIiIiIjIgNMDpZs3b+LFF19EbGwsAgIC0Lp1a8yfPx81NTVSHiEE5s2bB41Gg4CAAPTp0wcHDx50YqmJiIiIiMiTOT1QWrRoEVatWoVly5bh119/xeLFi/H6669j6dKlUp7FixdjyZIlWLZsGXJzc6FWqzFgwABUVlY6seREREREROSpnB4o7dmzB3/5y1+QmpqKVq1a4a9//SuSk5Px888/A7jVmvT2229j7ty5GDJkCOLj4/HBBx/g6tWrWLdunZNLT0REREREnsjpgVLv3r3x9ddf4+jRowCA/fv3Y/fu3Xj44YcBAEVFRSgtLUVycrL0HqVSiaSkJOTk5DilzERERERE5Nl8nF2A2bNnQ6vVok2bNvD29kZ1dTUWLFiA4cOHAwBKS0sBAFFRUXrvi4qKwsmTJ02uU6fTQafTSa8rKirsVHoiIiIiIvJETm9R2rBhA9auXYt169YhPz8fH3zwAd544w188MEHevkUCoXeayGEUVqtzMxMqFQq6S86Otpu5SciIiIiIs/j9EBp5syZSE9Px5NPPokOHTpg9OjReO6555CZmQkAUKvVAP5sWapVVlZm1MpUa86cOdBqtdJfSUmJfTeCiIiIiIg8itMDpatXr8LLS78Y3t7e0vDgsbGxUKvVyMrKkpZXVVUhOzsbPXv2NLlOpVKJkJAQvT8iIiIiIiJrOf0ZpcGDB2PBggWIiYlB+/btUVBQgCVLluDpp58GcKvLXVpaGjIyMhAXF4e4uDhkZGQgMDAQI0aMcHLpiYiIiIjIEzk9UFq6dCleeuklTJo0CWVlZdBoNJgwYQJefvllKc+sWbNw7do1TJo0CeXl5ejevTt27NiB4OBgJ5aciIiIiIg8lUIIIZxdCHurqKiASqWCVqtlNzwiIiIiIhmzNjZw+jNKREREREREroaBEhERERERkQEGSkRERERERAYYKBERERERERlgoERERERERGSAgRIREREREZEBBkpEREREREQGGCgREREREREZYKBERERERERkgIESERERERGRAQZKREREREREBhgoERERERERGWCgREREREREZICBEhERERERkQEGSkRERERERAYYKBERERERERlgoERERERERGSAgRIREREREZEBBkpEREREREQGGCgREREREREZYKBERERERERkgIESERERERGRAZcIlE6fPo1Ro0YhPDwcgYGB6Ny5M/Ly8qTlQgjMmzcPGo0GAQEB6NOnDw4ePOjEEhMRERERkSdzeqBUXl6OXr16wdfXF9u2bcOhQ4fw5ptvokmTJlKexYsXY8mSJVi2bBlyc3OhVqsxYMAAVFZWOq/gRERERETksRRCCOHMAqSnp+OHH37A999/b3K5EAIajQZpaWmYPXs2AECn0yEqKgqLFi3ChAkT6vyMiooKqFQqaLVahISE2LT8RERERETkPqyNDZzeorRlyxZ07doVTzzxBCIjI5GQkID33ntPWl5UVITS0lIkJydLaUqlEklJScjJyTG5Tp1Oh4qKCr0/IiIiIiIiazk9UDp+/DhWrlyJuLg4bN++HRMnTsS0adPwr3/9CwBQWloKAIiKitJ7X1RUlLTMUGZmJlQqlfQXHR1t340gIiIiIiKP4vRAqaamBl26dEFGRgYSEhIwYcIE/O1vf8PKlSv18ikUCr3XQgijtFpz5syBVquV/kpKSuxWfiIiIiIi8jxOD5SaNWuGdu3a6aW1bdsWxcXFAAC1Wg0ARq1HZWVlRq1MtZRKJUJCQvT+iIiIiIiIrOX0QKlXr144cuSIXtrRo0fRsmVLAEBsbCzUajWysrKk5VVVVcjOzkbPnj0dWlYiIiIiIpIHH2cX4LnnnkPPnj2RkZGBoUOHYu/evXj33Xfx7rvvArjV5S4tLQ0ZGRmIi4tDXFwcMjIyEBgYiBEjRji59ERERERE5ImcHih169YNmzdvxpw5czB//nzExsbi7bffxsiRI6U8s2bNwrVr1zBp0iSUl5eje/fu2LFjB4KDg51YciIiIiIi8lROn0fJETiPEhERERERAW40jxIREREREZGrYaBERERERERkgIESERERERGRAQZKREREREREBhgoERERERERGWCgREREREREZICBEhERERERkQEGSkRERERERAYYKBERERERERlgoERERERERGSAgRIREREREZEBBkpEREREREQGGCgREREREREZYKBERERERERkgIESERERERGRAQZKREREREREBhgoERERERERGWCgREREREREZICBEhERERERkQEGSkRERERERAYYKBERERERERlwqUApMzMTCoUCaWlpUpoQAvPmzYNGo0FAQAD69OmDgwcPOq+QRERERETk8VwmUMrNzcW7776Ljh076qUvXrwYS5YswbJly5Cbmwu1Wo0BAwagsrLSSSUlIiIiIiJP5xKB0uXLlzFy5Ei89957CA0NldKFEHj77bcxd+5cDBkyBPHx8fjggw9w9epVrFu3zoklJiIiIiIiT+YSgdLkyZORmpqK/v3766UXFRWhtLQUycnJUppSqURSUhJycnIcXUwiIiIiIpIJH2cXYP369cjPz0dubq7RstLSUgBAVFSUXnpUVBROnjxpdp06nQ46nU56XVFRYaPSEhERERGRHDi1RamkpATTp0/H2rVr4e/vbzafQqHQey2EMEq7XWZmJlQqlfQXHR1tszITEREREZHnc2qglJeXh7KyMiQmJsLHxwc+Pj7Izs7GO++8Ax8fH6klqbZlqVZZWZlRK9Pt5syZA61WK/2VlJTYdTuIiIiIiMizOLXrXb9+/VBYWKiXNm7cOLRp0wazZ89G69atoVarkZWVhYSEBABAVVUVsrOzsWjRIrPrVSqVUCqVdi07ERERERF5LqcGSsHBwYiPj9dLCwoKQnh4uJSelpaGjIwMxMXFIS4uDhkZGQgMDMSIESOcUWQiIiIiIpIBpw/mUJdZs2bh2rVrmDRpEsrLy9G9e3fs2LEDwcHBzi4aERERERF5KIUQQji7EPZWUVEBlUoFrVaLkJAQZxeHiIiIiIicxNrYwCXmUSIiIiIiInIlDJSIiIiIiIgMMFAiIiIiIiIywECJiIiIiIjIAAMlIiIiIiIiAwyUiIiIiIiIDDBQIiIiIiIiMsBAiYiIiIiIyAADJSIiIiIiIgMMlIiIiIiIiAz4OLsA5LrGrd6Lg2e0aK9RYfW4e22yzlbpW6X/n1iYapN1uqu4v2/FjRrA1ws4liHvfUFERETkatiiRCbdOWcrdh05h7LKKuw6cg53ztla95vqcHuQZOq1nLRKvxUkAcCNGnnvCyIiIiJXxECJjIxbvRfVQj+tWtxKbyhzgYAcA4S4v5veZnPpJG+t0rdKf0REROQ4DJTIyMEz2nqlU/3UtiRZm07yxVZYIiIi5+EzSmSkrLKqXumNlfJWNrY/l9To9RheRBo+A2XqItPRz0nxQpesZakVVu7P9xFZ8vwn+7Ax/7T02tRzoF3m70D51RsQhm++jTv9zgyPF/dE3WGT86q7MHe8dKfv0Jbquh4i6ymEEJaOEx6hoqICKpUKWq0WISEhzi6Oy7N0Md/QH5snBQj13Qf13XYe0DybvX4Lgb5eOPS/A+2ybiJzbHkDyhaD/bR9aRuuOah53l7H6u4ZO/FHhc7m6/XUc0tdx1QvAMc9dNtNYdBoHWtjA3a9Iz2xdRxwOr7ylYNK4rrqc6HbkIvie+Z+We/3kHuw5w2DqzdqPOqGBLk+Wz57aotups9/ss9hQRJgn99zq/StdgmSatftaazZphor83kCS9spl31ga2xRcjBWVLIG7/x4Hlf67bN+UUM5ux5b06WaLGvI799R+5k9Nhqnrv3h6dtfH2xRckE8oBORK+CxiBrCFerN7WVwhfLIgSP3s717bLDOUH2xRclB+OOk+uKdH/c3bvVe7DpyztnFsCvWU8/D85Xns+Z36+x6YK6Mzi6Xp5Lbsdza2ICBkoPwh031JbeDlivj79cy1lX3xHpN7tCVse89TT3+hpOr8VYAv2d69nGdXe+IiGzAFS8cXA33kfvhd0aAe3RlZJDkeNXCdeuDozm9RSkzMxObNm3C4cOHERAQgJ49e2LRokW45557pDxCCLz66qt49913UV5eju7du2P58uVo3769VZ/hCi1KACudKe5wJ9qZ35s77B9bs9X+tvdDwbZkqqx1lWdiUmusyj5uryLVmxzrqqviuUZfY+qmI4cbt8SVB2AgsrZl0pXOE27TopSdnY3Jkyfjxx9/RFZWFm7evInk5GRcuXJFyrN48WIsWbIEy5YtQ25uLtRqNQYMGIDKykonlrz+XKmCOFtMWIDb7A9blvPEwlSEBfrabH2expYndns/FGxvlurdiYWpSB/YFpsn9XRgicgduGJddqbGHr9//d+BeLxLcxuVpmHc5VxJ8mVty6Q7Hp+c3qJk6Ny5c4iMjER2djYeeOABCCGg0WiQlpaG2bNnAwB0Oh2ioqKwaNEiTJgwoc51ukqLEpGh1ulbYelepZxOkO54ALUFR3zHrjq0L9mOvSYptcTScwy2uqPs7sM/O3u4Znv99m1dbluW8/ayyfW84g6c/Vt1mxYlQ1qtFgAQFhYGACgqKkJpaSmSk5OlPEqlEklJScjJyXFKGYlsRU6zhZMxR50onH1CsqVW6Vvr/JMbe05Sak7fe5pafNjbVJ1rSD2sz3tcsZ6bK1NUiNIh5bXHZ7jyOg3X44p1gm5xl2O1S7UoCSHwl7/8BeXl5fj+++8BADk5OejVqxdOnz4NjUYj5f2f//kfnDx5Etu3bzdaj06ng07350mjoqIC0dHRbFEil+TsO46uwl0Omg3lCd9jbPpW1HXCsOd21qeOeML+toY9fzePd2mON4d2ttv6yXEaW08c9Xt6/pN92Jh/2ur8nv47N/zefL2AYxm222ZXOO866zu0tkXJx4FlqtOUKVPwyy+/YPfu3UbLFAqF3mshhFFarczMTLz66qt2KSORo7VK3yq7k4Gr8/Tvw5yihal1flevbz+MmSltbP7Z9a0j/N3Un6fvLzmr/W5dvSvjm0M7482hnXkD8b/svZ3splg3lwmUpk6dii1btuC7775DixYtpHS1Wg0AKC0tRbNmzaT0srIyREVFmVzXnDlzMGPGDOl1bYsSkSvyAiw+pwSYPoDJ5UTharjfLcs/We7sIkg8+XfDIIk82QkLN2VYV+3D0j6XM6cHSkIITJ06FZs3b8a3336L2NhYveWxsbFQq9XIyspCQkICAKCqqgrZ2dlYtGiRyXUqlUoolUq7l53IFo438OAkhzvmtZwxi7xc9m191XUy7dIy1IGlqT9P+N24eqsAuS53uhhmvXU8a/e5s6bxcAanP6M0adIkrFu3Dp9//rne3EkqlQoBAQEAgEWLFiEzMxOrV69GXFwcMjIy8O233+LIkSMIDg6u8zM46h25g4YeeNzhQFMXS9ten+2T08Hb2Uzt68hgP+ydOwAA0GX+Dly8esOqdVkzC7y9A2FrWp8aWoZAXy8c+t+BDXqvIQZJZAvW1CPWHbLEXZ57M8fa2MDpgZK554xWr16NsWPHAvhzwtl//vOfehPOxsfHW/UZDJTIHTTmoOPsA05j2SpQMrc+d98/rur2/Ty5753Ss0n2CPrtcRfcmuc2Gvpsh6V1NRQHsyBbsvVxl8iduE2g5AgMlMhduGKw5IiTKU/YnqM+LUmkz1aBIn8zRESWueWod0Ry15j+4+1e2maz7j2AdRdmDXneoz7b5226wZlcWLkTgiR3eu7CElu0hDJIIiKyHZebcJaIGubqjRqbXSzWZz32ygsA1R7f3u15nPWVeWKAUPt7seZ3o/RWeOQ+ICJyJna9I3JBjQl4rH1w3NGjxMl5sAo5cXTLjuFAEJ7QstQQ/J0QEVnP2tiALUpELqgxFz1Xb9Q1K5PjLyblevFK9hcRrD8VhBwDBjluMxGRI7BFicjNuHLQYeqCzRUHqCD7smaiSGcM5e7IVlRH/U75GyEiqj+2KBF5KLlcGMllOz2Rqe/OMK2x329UiLLe67BlnaprXY6ov/yNEBHZF1uUiNxQylvZOPLHZWcXw6TGthrw4o/szZrR5axpFbOFdi9ts6q7rCPKQkQkF5xH6TYMlMgTOboLnrUTb3aJaYJNk3pZlff29RLJHedKIiJyDHa9I/JwjrxQqs9n5Rdfsst6iTydtb8H/m6IiByDLUpEbs5VH4qvaxJQXuwRERGRM7BFiUgmbBFw2OOheFcenY+IiIioLj7OLgARNV5DJ3tlqw4RERGRaQyUiGTAHgFRXV3riIiIiNwZu94RUYOxRYqIiIg8FQMlInI4Xx55iIiIyMXxcoWIGqUhrUrHMtgSRURERK6NgRIROdTkvnc6uwhEREREdWKgRESNVp9WpZkpbexYEiIiIiLbYKBERDZhTbDEwR+IiIjIXTBQIiKbiQkLMLuMQRIRERG5EwZKRGQz38160GQ6gyQiIiJyNwyUiMimTixMRUxYAHy9b7UwMUgiIiIid+Q2gdKKFSsQGxsLf39/JCYm4vvvv3d2kYjIjO9mPYhjC1LNtjARERERuTofZxfAGhs2bEBaWhpWrFiBXr164Z///CcGDhyIQ4cOISYmxtnFI5IUFJej6PwVxEYEISEm1Ob53U1BcTm+PVIGAOhzT6RHbmNDeML3XlBcjvV7i7Hh51N15rXUqrghtxhf//oHQgP98OS9MWb3hyfsM9K3IbcY+0suoVN0EwzrxnO5u2rIb7NV+laLy80dM25/H3srkCMohBDC2YWoS/fu3dGlSxesXLlSSmvbti0effRRZGZm1vn+iooKqFQqaLVahISE2LOoJGMLt/2KVdnHpdcTk1ojfWBbm+V3N4bbB3jeNjaEJ3zvpr7bupi6qHl0+W7sK9HqpZnaH56wz0if4XffOVqFzyb3dmKJqCEa8tusK0iqZXjMMPU+BkvUUNbGBi7f9a6qqgp5eXlITk7WS09OTkZOTo7J9+h0OlRUVOj9EdlTQXG50YXjquzjKCgut0l+d2Nq+wDP2saG8ITv3dx3WxfDi5wNucVGQRJgvD88YZ+RPlPf/b4SLTbkFjupRNQQDfltWhskGeY19776rI+oIVw+UDp//jyqq6sRFRWllx4VFYXS0lKT78nMzIRKpZL+oqOjHVFUkrGi81fsmu5uLG2Hp2xjQ3jC926rsu4vuWTVZ3jCPiN95r57S3WCXA9/myQHLh8o1VIoFHqvhRBGabXmzJkDrVYr/ZWUlDiiiCRjsRFBdk13N5a2w1O2sSE84Xu3VVk7RTex6jM8YZ+RPnPfvaU6Qa6Hv02SA5cPlCIiIuDt7W3UelRWVmbUylRLqVQiJCRE74/InhJiQjExqbVe2rNJrc0+2Frf/O7G1PYBnrWNDeEJ37u577Yuhs8SDOsWg87RKqN8hvvDE/YZ6TP13SdEqzigg5tpyG+zPs8U3Z7X3Pv4jBLZm9sM5pCYmIgVK1ZIae3atcNf/vIXDuZALoWj3unjqHemecL3zlHvqLE46p1n4Kh35I6sjQ3cIlDasGEDRo8ejVWrVqFHjx5499138d577+HgwYNo2bJlne9noERERERERID1sYFbzKM0bNgwXLhwAfPnz8fZs2cRHx+PL7/80qogiYiIiIiIqL7cokWpsdiiREREREREgAfNo0RERERERORoDJSIiIiIiIgMMFAiIiIiIiIywECJiIiIiIjIAAMlIiIiIiIiAwyUiIiIiIiIDDBQIiIiIiIiMsBAiYiIiIiIyAADJSIiIiIiIgMMlIiIiIiIiAwwUCIiIiIiIjLAQImIiIiIiMgAAyUiIiIiIiIDDJSIiIiIiIgMMFAiIiIiIiIywECJiIiIiIjIAAMlIiIiIiIiAwyUiIiIiIiIDDBQIiIiIiIiMsBAiYiIiIiIyAADJSIiIiIiIgNOC5ROnDiB8ePHIzY2FgEBAbjzzjvxyiuvoKqqSi9fcXExBg8ejKCgIERERGDatGlGeYiIiIiIiGzJx1kffPjwYdTU1OCf//wn7rrrLhw4cAB/+9vfcOXKFbzxxhsAgOrqaqSmpqJp06bYvXs3Lly4gDFjxkAIgaVLlzqr6ERERERE5OEUQgjh7ELUev3117Fy5UocP34cALBt2zYMGjQIJSUl0Gg0AID169dj7NixKCsrQ0hIiFXrraiogEqlglartfo9RERERETkeayNDVzqGSWtVouwsDDp9Z49exAfHy8FSQCQkpICnU6HvLw8ZxSRiIiIiIhkwGld7wz9/vvvWLp0Kd58800prbS0FFFRUXr5QkND4efnh9LSUrPr0ul00Ol00mutVgvgVvRIRERERETyVRsT1NWxzuaB0rx58/Dqq69azJObm4uuXbtKr8+cOYOHHnoITzzxBJ555hm9vAqFwuj9QgiT6bUyMzNNliE6Orqu4hMRERERkQxUVlZCpVKZXW7zZ5TOnz+P8+fPW8zTqlUr+Pv7A7gVJPXt2xfdu3fHmjVr4OX1Z2/Al19+GZ9//jn2798vpZWXlyMsLAzffPMN+vbta3L9hi1KNTU1uHjxIsLDwy0GWI5QUVGB6OholJSU8HkpMsL6QeawbpAlrB9kDusGWSLX+iGEQGVlJTQajV7sYcjmLUoRERGIiIiwKu/p06fRt29fJCYmYvXq1UYF7dGjBxYsWICzZ8+iWbNmAIAdO3ZAqVQiMTHR7HqVSiWUSqVeWpMmTeq3IXYWEhIiqwpJ9cP6QeawbpAlrB9kDusGWSLH+mGpJamW055ROnPmDPr06YOYmBi88cYbOHfunLRMrVYDAJKTk9GuXTuMHj0ar7/+Oi5evIgXXngBf/vb32T3ZRIRERERkeM4LVDasWMHfvvtN/z2229o0aKF3rLa3oDe3t7YunUrJk2ahF69eiEgIAAjRoyQ5lkiIiIiIiKyB6cFSmPHjsXYsWPrzBcTE4P//Oc/9i+QgyiVSrzyyitGXQOJANYPMo91gyxh/SBzWDfIEtYPy1xqwlkiIiIiIiJX4FITzhIREREREbkCBkpEREREREQGGCgREREREREZYKBERERERERkgIGSg61YsQKxsbHw9/dHYmIivv/+e2cXiRohMzMT3bp1Q3BwMCIjI/Hoo4/iyJEjenmEEJg3bx40Gg0CAgLQp08fHDx4UC+PTqfD1KlTERERgaCgIDzyyCM4deqUXp7y8nKMHj0aKpUKKpUKo0ePxqVLl/TyFBcXY/DgwQgKCkJERASmTZuGqqoqu2w71U9mZiYUCgXS0tKkNNYNeTt9+jRGjRqF8PBwBAYGonPnzsjLy5OWs37I082bN/Hiiy8iNjYWAQEBaN26NebPn4+amhopD+uGfHz33XcYPHgwNBoNFAoFPvvsM73lrlYXCgsLkZSUhICAADRv3hzz58+HW48bJ8hh1q9fL3x9fcV7770nDh06JKZPny6CgoLEyZMnnV00aqCUlBSxevVqceDAAbFv3z6RmpoqYmJixOXLl6U8CxcuFMHBwWLjxo2isLBQDBs2TDRr1kxUVFRIeSZOnCiaN28usrKyRH5+vujbt6/o1KmTuHnzppTnoYceEvHx8SInJ0fk5OSI+Ph4MWjQIGn5zZs3RXx8vOjbt6/Iz88XWVlZQqPRiClTpjhmZ5BZe/fuFa1atRIdO3YU06dPl9JZN+Tr4sWLomXLlmLs2LHip59+EkVFRWLnzp3it99+k/KwfsjTa6+9JsLDw8V//vMfUVRUJD799FNxxx13iLffflvKw7ohH19++aWYO3eu2LhxowAgNm/erLfcleqCVqsVUVFR4sknnxSFhYVi48aNIjg4WLzxxhv220F2xkDJge69914xceJEvbQ2bdqI9PR0J5WIbK2srEwAENnZ2UIIIWpqaoRarRYLFy6U8ly/fl2oVCqxatUqIYQQly5dEr6+vmL9+vVSntOnTwsvLy/x1VdfCSGEOHTokAAgfvzxRynPnj17BABx+PBhIcStg6mXl5c4ffq0lOfjjz8WSqVSaLVa+200WVRZWSni4uJEVlaWSEpKkgIl1g15mz17tujdu7fZ5awf8pWamiqefvppvbQhQ4aIUaNGCSFYN+TMMFBytbqwYsUKoVKpxPXr16U8mZmZQqPRiJqaGhvuCcdh1zsHqaqqQl5eHpKTk/XSk5OTkZOT46RSka1ptVoAQFhYGACgqKgIpaWlet+7UqlEUlKS9L3n5eXhxo0benk0Gg3i4+OlPHv27IFKpUL37t2lPPfddx9UKpVenvj4eGg0GilPSkoKdDqdXncecqzJkycjNTUV/fv310tn3ZC3LVu2oGvXrnjiiScQGRmJhIQEvPfee9Jy1g/56t27N77++mscPXoUALB//37s3r0bDz/8MADWDfqTq9WFPXv2ICkpSW/y2pSUFJw5cwYnTpyw/Q5wAB9nF0Auzp8/j+rqakRFRemlR0VFobS01EmlIlsSQmDGjBno3bs34uPjAUD6bk197ydPnpTy+Pn5ITQ01ChP7ftLS0sRGRlp9JmRkZF6eQw/JzQ0FH5+fqxjTrJ+/Xrk5+cjNzfXaBnrhrwdP34cK1euxIwZM/D3v/8de/fuxbRp06BUKvHUU0+xfsjY7NmzodVq0aZNG3h7e6O6uhoLFizA8OHDAfDYQX9ytbpQWlqKVq1aGX1O7bLY2NiGbKZTMVByMIVCofdaCGGURu5pypQp+OWXX7B7926jZQ353g3zmMrfkDzkGCUlJZg+fTp27NgBf39/s/lYN+SppqYGXbt2RUZGBgAgISEBBw8exMqVK/HUU09J+Vg/5GfDhg1Yu3Yt1q1bh/bt22Pfvn1IS0uDRqPBmDFjpHysG1TLleqCqbKYe687YNc7B4mIiIC3t7fRHZiysjKjCJ3cz9SpU7Flyxbs2rULLVq0kNLVajUAWPze1Wo1qqqqUF5ebjHPH3/8YfS5586d08tj+Dnl5eW4ceMG65gT5OXloaysDImJifDx8YGPjw+ys7PxzjvvwMfHR+8u2+1YN+ShWbNmaNeunV5a27ZtUVxcDIDHDjmbOXMm0tPT8eSTT6JDhw4YPXo0nnvuOWRmZgJg3aA/uVpdMJWnrKwMgHGrl7tgoOQgfn5+SExMRFZWll56VlYWevbs6aRSUWMJITBlyhRs2rQJ33zzjVGzcmxsLNRqtd73XlVVhezsbOl7T0xMhK+vr16es2fP4sCBA1KeHj16QKvVYu/evVKen376CVqtVi/PgQMHcPbsWSnPjh07oFQqkZiYaPuNJ4v69euHwsJC7Nu3T/rr2rUrRo4ciX379qF169asGzLWq1cvo6kEjh49ipYtWwLgsUPOrl69Ci8v/cszb29vaXhw1g2q5Wp1oUePHvjuu+/0hgzfsWMHNBqNUZc8t+G4cSOodnjw999/Xxw6dEikpaWJoKAgceLECWcXjRro2WefFSqVSnz77bfi7Nmz0t/Vq1elPAsXLhQqlUps2rRJFBYWiuHDh5scurNFixZi586dIj8/Xzz44IMmh+7s2LGj2LNnj9izZ4/o0KGDyaE7+/XrJ/Lz88XOnTtFixYtOIyrC7l91DshWDeEEOKVV14RAMS5c+ecXRSb27VrlwAgdu3aZbRs7969wsfHRyxYsEAcO3ZMfPTRRyIwMFCsXbtWysP6IU9jxowRzZs3l4YH37Rpk4iIiBCzZs2S8rBuyEdlZaUoKCgQBQUFAoBYsmSJKCgokKaWcaW6cOnSJREVFSWGDx8uCgsLxaZNm0RISAiHByfrLV++XLRs2VL4+fmJLl26SMNIk3sCYPJv9erVUp6amhrxyiuvCLVaLZRKpXjggQdEYWGh3nquXbsmpkyZIsLCwkRAQIAYNGiQKC4u1stz4cIFMXLkSBEcHCyCg4PFyJEjRXl5uV6ekydPitTUVBEQECDCwsLElClT9IbpJOcyDJRYN+QbKAkhxBdffCHi4+OFUqkUbdq0Ee+++67ectYPeaqoqBDTp08XMTExwt/fX7Ru3VrMnTtX6HQ6KQ/rhnzUHkcM/8aMGSOEcL268Msvv4j7779fKJVKoVarxbx589x2aHAhhFAI4c7T5RIRkTubN28eXn31VZw7dw4RERHOLo5Nffvtt+jbty927dqFPn36OLs4RERUT3xGiYiInK6kpARDhgxBSEgIVCoVRo0ahXPnzunlUSgUmDdvntF7W7VqhbFjx0qvr169ihdeeAGxsbHw9/dHWFgYunbtio8//tjs5+/fvx8KhQLvv/++0bJt27ZBoVBgy5YtUtru3bvRr18/BAcHIzAwED179sTWrVvrv+FEROSyGCgREZHTPfbYY7jrrrvw73//G/PmzcNnn32GlJQU3Lhxo97rmjFjBlauXIlp06bhq6++wocffognnngCFy5cMPueTp06ISEhAatXrzZatmbNGkRGRkoTfmZnZ+PBBx+EVqvF+++/j48//hjBwcEYPHgwNmzYUO/yEhGRa+I8SkRE5HRDhgzB4sWLAQDJycmIiorCyJEj8cknn2DkyJH1WtcPP/yA5ORkPPfcc1Jaampqne8bN24cpk2bhqNHj+Luu+8GcGv4288//xxTpkyBj8+tU2Z6ejpCQ0Px7bff4o477gAADBo0CJ07d8YLL7yAoUOHuu2cIURE9Ce2KBERkdMZBkNDhw6Fj48Pdu3aVe913Xvvvdi2bRvS09Px7bff4tq1a1aXQalUYs2aNVLaxx9/DJ1Oh3HjxgEArly5gp9++gl//etfpSAJuDV88+jRo3Hq1CmjYb+JiMg9MVAiIiKnq504sZaPjw/Cw8Mtdpcz55133sHs2bPx2WefoW/fvggLC8Ojjz6KY8eOWXxfWFgYHnnkEfzrX/9CdXU1gFvd7u699160b98ewK0WJiEEmjVrZvR+jUYDAA0qMxERuR4GSkRE5HSGs7nfvHkTFy5cQHh4uJSmVCqh0+mM3msYmAQFBeHVV1/F4cOHUVpaipUrV+LHH3/E4MGD6yzHuHHjcPr0aWRlZeHQoUPIzc2VWpMAIDQ0FF5eXnqTLtY6c+YMAHjc6H1ERHLFQImIiJzuo48+0nv9ySef4ObNm3rDardq1Qq//PKLXr5vvvkGly9fNrveqKgojB07FsOHD8eRI0dw9epVi+VITk5G8+bNsXr1aqxevRr+/v4YPny4tDwoKAjdu3fHpk2b9Lr01dTUYO3atWjRooX0fBMREbk3DuZAREROt2nTJvj4+GDAgAE4ePAgXnrpJXTq1AlDhw6V8owePRovvfQSXn75ZSQlJeHQoUNYtmwZVCqV3rq6d++OQYMGoWPHjggNDcWvv/6KDz/8ED169EBgYKDFcnh7e+Opp57CkiVLEBISgiFDhhitPzMzEwMGDEDfvn3xwgsvwM/PDytWrMCBAwfw8ccfcyAHIiIPwRYlIiJyuk2bNuHw4cMYMmQIXn75ZQwePBg7duyAn5+flGfmzJmYOXMm1qxZg8GDB2Pjxo345JNP0KRJE711Pfjgg9iyZQvGjRuH5ORkLF68GE899RS++OILq8oybtw46HQ6nDt3Tq/bXa2kpCR88803CAoKwtixY/Hkk09Cq9Viy5YtGDZsWKP2AxERuQ6FEEI4uxBERERERESuhC1KREREREREBhgoERERERERGWCgREREREREZICBEhERERERkQEGSkRERERERAYYKBERERERERmQxYSzNTU1OHPmDIKDgzkRIBERERGRjAkhUFlZCY1GAy8v8+1GsgiUzpw5g+joaGcXg4iIiIiIXERJSQlatGhhdrksAqXg4GAAt3ZGSEiIk0tDRERERETOUlFRgejoaClGMEcWgVJtd7uQkBAGSkREREREVOcjORzMgYiIiIiIyAADJSIiIiIiIgMMlIiIiIiIiAzI4hklapgNucXYX3IJnaKbYFi3GJuss6C4HEXnryA2IggJMaE2Wae7ktu+sLY+2aPeuTO51ZO6sH4QkaHbj5MAZH/M5HnDdhRCCOHsQthbRUUFVCoVtFotB3Ow0qPLd2NfiVZ63Tlahc8m927UOhdu+xWrso9LrycmtUb6wLaNWqe7srQvWqVvldJPLEx1eNls7fXth7HmhyJcqaqR0szVJ3vUO1dk7cU+fzP65FI/qPEYUNff69sPY1vhWQT4eeOpHq1cdr8ZBgGGx8nbyfGYyfOGdayNDRgoOcHtF8JEdfFWANUe/ysld6YAMKnvnZiZ0kYvvb7HOqW3AkcWPGxymacfN08sTLX6Jsnt+Sb3vRPLd/1u1fpNvd9VGG4/uS5H3cAzVR8mJrU2GxSRe3H2jWAGSrdxpUCJJwIi8lRNg/2QO3cAAB7rXBGDEbIVe13ksn7KizODJWtjAw7m4EA8ABCRJztXWYXXtx/msc5F8XshW7FHXWL9lB93+M4ZKDmIO1QGIqLGsqYbGBG5P1te1/AaiVwVAyUiIiIicgoGSeTKGCgREREREZFDLXq8g7OLUCcGSg7i7NE9iIjs7cTCVB7riGSCv3VqjIRolcsOQX87BkoOxIMKEXmq249vPNYReTZb/sZ5vJCfRY93wGY3mQOPw4OTnqGrcrD3RLnZ5Q05oBUUl+OxFTk2Xae7ap2+FTUm0r0AHDfYD+NW78XBM1q016iwety9DimfLdT1fde6/Xt/K+sI/vH1bybzRQT54ueXkm1WPmepqx/+7fvjiZU/IPfkJZP5mqmU2DOnvy2L5hY6zfsK2uvVRukqf2/sn/eQE0pkG69vP4z8k+Xo0jLUaB6qxjKcoPd2j3dpjjeHdrbp5znbnX/fimpTB1gA3Vo2wafP9nJsgdxE6zlbUWPmSvDeVqH4ZGJPh5TD8BhZe0xMeSsbJy9egSrAD39U6Oq9XlldY5j5Lr0UwPFM+ewHa1gbG/g4sEzkBkL8bV8lEmJCbb5Od+Xr6wXdDeMzua+vceOuOwVHt2vI912qvW52ma+35zd8G27hsbLLZvPeuGnmStDDXa0yDpIspbsLWwdHt/tscm9syC3G/pJL6BTdxC26uTSKhdu+7l5P7MnXSwGdmVnNYyOCHFYOcwHN9ueSpP9bCv4J8PPxwnUT1xh+Pp5/HrUX7jkiBzL3g/O0H+LmSTa8A6mw3apc1UaD/VVx7abZvB7fBcAME+d+i+l0y7BuMcgY0tHzgyRY/m3I9XdjjWYqf7PLnrzXterNZ5N7Y9HjHTDi3mh4y+DcUF9Bvt71Sqe6edr1GTVSxXXzF2jUeKZakyylu6uEmFBMTGptk3Vdk8GdYMNWOEsXdbw2IDLN0m+jQ3OVw8rhdhSm91yIv49L9gipDf7J2GWd6Ws4c+lUNwZKpMceXe/oT+YugD3xbmf6wLZW5/3p+AWzy2TwGKURLwtXfPLbG0TWsdRN19VaRlyJuYtol++uxbtGRqrMdKE0l051c/FfAZFnkVOgVB9llVVmlwX6yS94Dw30NbtMrtcGcum2Sg2nNPGsJwD4eStcsmXEVfiauTNjLt1V+Hrx12/I3Dfm2t+ka2MtIz0FxZecXQSPxoOYaQFmLnAAwF+GfauDA8wHSnIY3MIUM72DzKaT/Ji7sGdPCctiwgPrle4q5NjboC7mbhaYS6e6cc+RHu31G2aXKfnkZKMxUDKtf7sos8sqrpmvk55KmBurF0BokJ8DS+I6zF0T8VqJat0w87sxl063DOnSol7p5LpqzNR1c+lUNwZKpEdh4ZJdjnf2bY1d70yz9PyAHAcY+aPS/Fwhcn0onb8dqkuQn5kRv8yk0y3DusWgc7T+cSUhWuXyIyVqmgQ4uwgu54aZZ5HMpVPdGCiRHktdFC5Xye+C1dZ4sWfa0T8qzS67KcM7YToLcyXJ9aF0/naoLo+ZaQExl05/un3Y7UWPd8Dmyb2dXaQ6PdyxmbOL4HLMnTk8a1xdx2LHXdKjVvnjwlUzXZ0acUWiMPN2uXU584LpA5bc71jsL7lkdpmLP09stYggP5y/YjxoRYSJrnSWupPJ9aF0HkOoLjNT2uCTn0tw7rbBYSKD/ew6qa8nGdYtxuVbkW63Ke+Us4vgcnictD25X5+RgUALXRTuUDa8+wLvBt/i52P6cGUuXS7W7S0xu6yJhYEN3MnMh+6pV7opcq4l5kYqdvURjMmxcucOwOS+d6JH6zBM7nsn9s4d4OwikZ1cMHHjSe58zTxLbi6d6sYWJdJzxcLknndHBTuwJJ7JXC8yGfYus1ozD+mHPqxbDD7eW4x9JVopzdxzAH7eCuhM9Cn3k/HJzsfbCzdqjNtjfWQ6CiCZxxYkeYiNCMKRPy47uxguxdfbC1XVxtdxch0t1RYYKJEeS5dhKg+5s+9M1Wb6VJlLd3dKMxf89RlBMemeprYsklN9Nrk3NuQWY3/JJXSKbuJW3VyczVwXTE/pmklE9bP9uSS0St/q7GKQh7NriHnz5k28+OKLiI2NRUBAAFq3bo358+ej5ra7gkIIzJs3DxqNBgEBAejTpw8OHjyotx6dToepU6ciIiICQUFBeOSRR3DqFPum2kO8hRG1GjP6mLlue43pzueO7lCavjdhLt3dPfNA63qlm+Jpd4eHdYtBxpCOFoMkbzN3/8yly0GriKB6pROR53u8S3OLy5uFKB1UEtfALsq2Z9ddt2jRIqxatQrLli3Dr7/+isWLF+P111/H0qVLpTyLFy/GkiVLsGzZMuTm5kKtVmPAgAGorPxzFKy0tDRs3rwZ69evx+7du3H58mUMGjQI1SaaF6lxLI2oVVZxvcHrHdOzVb3SPdWo+1rWK93dzUxpg6bB+oMVmHq4OsRMwGwu3dN1jw2rV7ocPNWjVb3SicjzvTm0s8UJy9MG3O3A0jhfizDTkwSbS6e62TVQ2rNnD/7yl78gNTUVrVq1wl//+lckJyfj559/BnCrNentt9/G3LlzMWTIEMTHx+ODDz7A1atXsW7dOgCAVqvF+++/jzfffBP9+/dHQkIC1q5di8LCQuzcudOexZelhJhQs608jZm0z9oLZk8nx/1gzcPVCjPdp8yle7rV4+6FYe9Eb8WtdLly17leiMi+fv3fgXi8S3OjLt1yPD7whpLt2bW/T+/evbFq1SocPXoUd999N/bv34/du3fj7bffBgAUFRWhtLQUycnJ0nuUSiWSkpKQk5ODCRMmIC8vDzdu3NDLo9FoEB8fj5ycHKSkpBh9rk6ng07354SNFRUV9ttID5TSXo2N+aeN0u9rHd6o9ebOHYDXtx9G/slydGkZ6tHBgSVy3A91beMd/r7QXjduIb7DX77Pxf2emYpxq/fi4Bkt2mtUsg6SavEZLyIy5c2hnfHm0M6yPz7UZ9Agso5dA6XZs2dDq9WiTZs28Pb2RnV1NRYsWIDhw4cDAEpLSwEAUVFReu+LiorCyZMnpTx+fn4IDQ01ylP7fkOZmZl49dVXbb05svHm0M74svAsrt3481myAF8vvDm0c6PXLYegwBrcD/oeTWiO5bt+N5kuZwyOjLnbXC9E5Dg8PvCGkq3Ztevdhg0bsHbtWqxbtw75+fn44IMP8MYbb+CDDz7Qy6cw6F8jhDBKM2Qpz5w5c6DVaqW/khLzc7SQabVN2Xc1DcLjXZrj1/8d6OwikQeTY5dEIiIie7Bm0CCyjl1blGbOnIn09HQ8+eSTAIAOHTrg5MmTyMzMxJgxY6BWqwHcajVq1qyZ9L6ysjKplUmtVqOqqgrl5eV6rUplZWXo2bOnyc9VKpVQKuU10ok92KIFichacuySSERERK7Lri1KV69ehZeX/kd4e3tLw4PHxsZCrVYjKytLWl5VVYXs7GwpCEpMTISvr69enrNnz+LAgQNmAyUick8zU9rg4//pwSCJiIiInM6uLUqDBw/GggULEBMTg/bt26OgoABLlizB008/DeBWl7u0tDRkZGQgLi4OcXFxyMjIQGBgIEaMGAEAUKlUGD9+PJ5//nmEh4cjLCwML7zwAjp06ID+/fvbs/hERERERCRTdg2Uli5dipdeegmTJk1CWVkZNBoNJkyYgJdfflnKM2vWLFy7dg2TJk1CeXk5unfvjh07diA4OFjK89Zbb8HHxwdDhw7FtWvX0K9fP6xZswbe3vKcY4WIiIiIiOxLIYRo+OQ4bqKiogIqlQparRYhISHOLg4RERERETmJtbGBXZ9RIiIiIiIickcMlIiIiIiIiAwwUCIiIiIiIjLAQImIiIiIiMgAAyUiIiIiIiIDDJSIiIiIiIgMMFAiIiIiIiIywECJiIiIiIjIAAMlIiIiIiIiAwyUiIiIiIiIDDBQIiIiIiIiMsBAiYiIiIiIyAADJSIiIiIiIgMMlIiIiIiIiAwwUCIiIiIiIjLAQImIiIiIiMgAAyUiIiIiIiIDDJSIiIiIiIgMMFAiIiIiIiIywECJiIiIiIjIAAMlIiIiIiIiAwyUiIiIiIiIDDBQIiIiIiIiMsBAiYiIiIiIyAADJSIiIiIiIgMMlIiIiIiIiAwwUCIiIiIiIjJg90Dp9OnTGDVqFMLDwxEYGIjOnTsjLy9PWi6EwLx586DRaBAQEIA+ffrg4MGDeuvQ6XSYOnUqIiIiEBQUhEceeQSnTp2yd9GJiIiIiEim7BoolZeXo1evXvD19cW2bdtw6NAhvPnmm2jSpImUZ/HixViyZAmWLVuG3NxcqNVqDBgwAJWVlVKetLQ0bN68GevXr8fu3btx+fJlDBo0CNXV1fYsPhERERERyZRCCCHstfL09HT88MMP+P77700uF0JAo9EgLS0Ns2fPBnCr9SgqKgqLFi3ChAkToNVq0bRpU3z44YcYNmwYAODMmTOIjo7Gl19+iZSUlDrLUVFRAZVKBa1Wi5CQENttIBERERERuRVrYwO7tiht2bIFXbt2xRNPPIHIyEgkJCTgvffek5YXFRWhtLQUycnJUppSqURSUhJycnIAAHl5ebhx44ZeHo1Gg/j4eCmPIZ1Oh4qKCr0/IiIiIiIia9k1UDp+/DhWrlyJuLg4bN++HRMnTsS0adPwr3/9CwBQWloKAIiKitJ7X1RUlLSstLQUfn5+CA0NNZvHUGZmJlQqlfQXHR1t600jIiIiIiIPZtdAqaamBl26dEFGRgYSEhIwYcIE/O1vf8PKlSv18ikUCr3XQgijNEOW8syZMwdarVb6KykpadyGEBERERGRrNg1UGrWrBnatWunl9a2bVsUFxcDANRqNQAYtQyVlZVJrUxqtRpVVVUoLy83m8eQUqlESEiI3h8REREREZG17Boo9erVC0eOHNFLO3r0KFq2bAkAiI2NhVqtRlZWlrS8qqoK2dnZ6NmzJwAgMTERvr6+ennOnj2LAwcOSHmIiIiIiIhsyceeK3/uuefQs2dPZGRkYOjQodi7dy/effddvPvuuwBudblLS0tDRkYG4uLiEBcXh4yMDAQGBmLEiBEAAJVKhfHjx+P5559HeHg4wsLC8MILL6BDhw7o37+/PYtPREREREQyZddAqVu3bti8eTPmzJmD+fPnIzY2Fm+//TZGjhwp5Zk1axauXbuGSZMmoby8HN27d8eOHTsQHBws5Xnrrbfg4+ODoUOH4tq1a+jXrx/WrFkDb29vexafiIiIiIhkyq7zKLkKzqNERERERESAi8yjRERERERE5I4YKBERERERERlgoERERERERGSAgRIREREREZEBBkpEREREREQGGCgREREREREZYKBERERERERkgIESERERERGRAQZKREREREREBhgoERERERERGWCgREREREREZICBEhERERERkQEGSkRERERERAYYKBERERERERlgoERERERERGSAgRIREREREZEBH2cXgIhMKyguR9H5K4iNCEJCTKizi0NEREQkKwyUiFzQwm2/YlX2cen1xKTWSB/Y1oklIiIiIpIXdr0jcjEFxeV6QRIArMo+joLicieViIiIiEh+GCgRuZii81fqlU5EREREtsdAicjFxEYE1SudiIiIiGyPgRKRi0mICcXEpNZ6ac8mteaADkREREQOxMEciFxQ+sC2SGmv5qh3RERERE7CQInIRSXEhDJAIiIiInISdr0jIiIiIiIywECJiIiIiIjIAAMlIiIiIiIiAw4LlDIzM6FQKJCWlialCSEwb948aDQaBAQEoE+fPjh48KDe+3Q6HaZOnYqIiAgEBQXhkUcewalTpxxVbCIiIiIikiGHBEq5ubl499130bFjR730xYsXY8mSJVi2bBlyc3OhVqsxYMAAVFZWSnnS0tKwefNmrF+/Hrt378bly5cxaNAgVFdXO6LoREREREQkQ3YPlC5fvoyRI0fivffeQ2jonyN4CSHw9ttvY+7cuRgyZAji4+PxwQcf4OrVq1i3bh0AQKvV4v3338ebb76J/v37IyEhAWvXrkVhYSF27txp76ITEREREZFM2T1Qmjx5MlJTU9G/f3+99KKiIpSWliI5OVlKUyqVSEpKQk5ODgAgLy8PN27c0Muj0WgQHx8v5SEiIiIiIrI1u86jtH79euTn5yM3N9doWWlpKQAgKipKLz0qKgonT56U8vj5+em1RNXmqX2/KTqdDjqdTnpdUVHR4G0gIiIiIiL5sVuLUklJCaZPn461a9fC39/fbD6FQqH3WghhlGaorjyZmZlQqVTSX3R0dP0KT0REREREsma3QCkvLw9lZWVITEyEj48PfHx8kJ2djXfeeQc+Pj5SS5Jhy1BZWZm0TK1Wo6qqCuXl5WbzmDJnzhxotVrpr6SkxMZbR0REREREnsxugVK/fv1QWFiIffv2SX9du3bFyJEjsW/fPrRu3RpqtRpZWVnSe6qqqpCdnY2ePXsCABITE+Hr66uX5+zZszhw4ICUxxSlUomQkBC9PyIiIiIiImvZ7Rml4OBgxMfH66UFBQUhPDxcSk9LS0NGRgbi4uIQFxeHjIwMBAYGYsSIEQAAlUqF8ePH4/nnn0d4eDjCwsLwwgsvoEOHDkaDQxAREREREdmKXQdzqMusWbNw7do1TJo0CeXl5ejevTt27NiB4OBgKc9bb70FHx8fDB06FNeuXUO/fv2wZs0aeHt7O7HkRERERETkyRRCCOHsQthbRUUFVCoVtFotu+EREREREcmYtbGB3edRIiIiIiIicjcMlIiIiIiIiAwwUCIiIiIiIjLAQImIiIiIiMgAAyUiIiIiIiIDDJSIiIiIiIgMMFAiIiIiIiIywECJiIiIiIjIAAMlIiIiIiIiAwyUiIiIiIiIDDBQIiIiIiIiMsBAiYiIiIiIyAADJSIiIiIiIgMMlIiIiIiIiAwwUCIiIiIiIjLAQImIiIiIiMgAAyUiIiIiIiIDDJSIiIiIiIgMMFAiIiIiIiIywECJiIiIiIjIAAMlIiIiIiIiAwyUiIiIiIiIDDBQIiIiIiIiMsBAiYiIiIiIyAADJSIiIiIiIgMMlIiIiIiIiAwwUCIiIiIiIjJg10ApMzMT3bp1Q3BwMCIjI/Hoo4/iyJEjenmEEJg3bx40Gg0CAgLQp08fHDx4UC+PTqfD1KlTERERgaCgIDzyyCM4deqUPYtOREREREQyZtdAKTs7G5MnT8aPP/6IrKws3Lx5E8nJybhy5YqUZ/HixViyZAmWLVuG3NxcqNVqDBgwAJWVlVKetLQ0bN68GevXr8fu3btx+fJlDBo0CNXV1fYsPhERERERyZRCCCEc9WHnzp1DZGQksrOz8cADD0AIAY1Gg7S0NMyePRvArdajqKgoLFq0CBMmTIBWq0XTpk3x4YcfYtiwYQCAM2fOIDo6Gl9++SVSUlLq/NyKigqoVCpotVqEhITYdRuJiIiIiMh1WRsbOPQZJa1WCwAICwsDABQVFaG0tBTJyclSHqVSiaSkJOTk5AAA8vLycOPGDb08Go0G8fHxUh4iIiIiIiJb8nHUBwkhMGPGDPTu3Rvx8fEAgNLSUgBAVFSUXt6oqCicPHlSyuPn54fQ0FCjPLXvN6TT6aDT6aTXFRUVNtsOIiIiIiLyfA5rUZoyZQp++eUXfPzxx0bLFAqF3mshhFGaIUt5MjMzoVKppL/o6OiGF5yIiIiIiGTHIYHS1KlTsWXLFuzatQstWrSQ0tVqNQAYtQyVlZVJrUxqtRpVVVUoLy83m8fQnDlzoNVqpb+SkhJbbg4REREREXk4uwZKQghMmTIFmzZtwjfffIPY2Fi95bGxsVCr1cjKypLSqqqqkJ2djZ49ewIAEhMT4evrq5fn7NmzOHDggJTHkFKpREhIiN4fERERERGRtez6jNLkyZOxbt06fP755wgODpZajlQqFQICAqBQKJCWloaMjAzExcUhLi4OGRkZCAwMxIgRI6S848ePx/PPP4/w8HCEhYXhhRdeQIcOHdC/f397Fp+IiIiIiGTKroHSypUrAQB9+vTRS1+9ejXGjh0LAJg1axauXbuGSZMmoby8HN27d8eOHTsQHBws5X/rrbfg4+ODoUOH4tq1a+jXrx/WrFkDb29vexafiIiIiIhkyqHzKDkL51EiIiIiIiLARedRIiIiIiIicgcMlIiIiIiIiAwwUCIiIiIiIjLAQImIiIiIiMgAAyUiIiIiIiIDDJSIiIiIiIgMMFAiIiIiIiIywECJiIiIiIjIAAMlIiIiIiIiAwyUiIiIiIiIDPg4uwBEcjZkxQ84VlaJuMhgbJrUy9nFISIiIqL/YosSkZO0St+K/OJLqLxejfziS2iVvtXZRSIiIiKi/2KgROQEQ1b8UK90IiIiInIsBkpETnCsrLJe6URERETkWAyUiJwgLjK4XulERERE5FgMlIicwNzADRzQgYiIiMg1MFAicpITC1PRJaYJgv290SWmCU4sTHV2kYiIiIjovzg8OJETsQWJiIiIyDWxRYmIiIiIiMgAAyUiIiIiIiIDDJSIiIiIiIgMMFAiIiIiIiIywECJiIiIiIjIAAMlIiIiIiIiAwyUiIiIiIiIDDBQIiIiIiIiMsBAiYiIiIiIyIDbBEorVqxAbGws/P39kZiYiO+//97ZRSIiIiIiIg/lFoHShg0bkJaWhrlz56KgoAD3338/Bg4ciOLiYmcXjYiIiMjjFRSXY1P+KRQUl7vl+okaQiGEEM4uRF26d++OLl26YOXKlVJa27Zt8eijjyIzM7PO91dUVEClUkGr1SIkJMSeRXUrG3KLsb/kEjpFN8GwbjHOLo5HKCguR9H5K4iNCEJCTGiD8rdK32oy74mFqTYtqyMUFJfj2yNlAIA+90RatU/koL71xBUVFJdj/d5ibPj5VJ15LdXdDbnF+PrXPxAa6Icn740xuz88YZ/Fpm+FAKAAUGTF7/n5T/ZhY/5pvbTNk3rWa/tNHU+8FcDvmc4/nsjxHHT791Hf77KhXt9+GNlHzkGt8sfkvnchISYUr28/jPyT5ejSMhQzU9pYzAsAC7f9ilXZx+1e1loTk1ojfWBbAObPiYB7nhfJNVgbG7h8oFRVVYXAwEB8+umneOyxx6T06dOnY9++fcjOzq5zHQyUjD26fDf2lWil152jVfhscm8nlsj9GZ5Ibj/QW5u/rhORO50UTJ1Y69onclDfeuKKGnLRZKruGh6HANP7wxP2mamLPUu/57YvbcO1GzUml1m7/ZYuMOv6fHuT4znI1Pdh77rcbUEWzlVW6aUF+Hrp1a2mwX7InTvAZN6JSa2R0l6Nx1bk2K2M5mye1NOqz3Wn8yK5DmtjA5fvenf+/HlUV1cjKipKLz0qKgqlpaUm36PT6VBRUaH3R3/akFtsdHGyr0SLDbnsythQBcXlRheOq7KPm+1CYC5/Xeq68HEVprYPsLxP5KC+9cQVmftu62JYd00dhwDj/eEJ+yzWzO/WXPrzn+wzGyQB1m2/NceKO+c453gix3OQue/DnnX59e2HjQIfAEZ161xlFYas+MFk3lXZx50SJAGw+nPd5bxI7snlA6VaCoVC77UQwiitVmZmJlQqlfQXHR3tiCK6jf0ll+qVTnUrOn/FJumewtL2efq2W+IJ9cFWZbV0vLn9Mzxhn5nrtmEu3ZpjsS22v9pJ/Ul4DtJnr7qcf9L6AOxYWaVdykDk7lw+UIqIiIC3t7dR61FZWZlRK1OtOXPmQKvVSn8lJSWOKKrb6BTdpF7pVLfYiCCbpHsKS9vn6dtuiSfUB1uV1dLx5vbP8IR9ZvqWnvl0a47Ftth+b3MFsDOeg/TZqy53aWn9809xkcF2KQORu3P5QMnPzw+JiYnIysrSS8/KykLPnj1NvkepVCIkJETvj/40rFsMOker9NISolWyeZjWHhJiQjExqbVe2rNJrc0+qGsuf13cpS+2qe0DLO8TOahvPXFF5r7buhjWXVPHIcB4f3jCPjM3cIO59DeHdkaAr/nTszXbb82xwlkDOsjxHGTu+7BnXZ6Z0gZNg/2M0g3rVmSwHzZN6mUy77NJrZ123rH2c93lvEjuyeUHcwBuDQ8+evRorFq1Cj169MC7776L9957DwcPHkTLli3rfD8HczBNjiMO2RtHvdPHUe9M84QR3DjqXf1x1Dt9cjwHueuod4Zlt7fbjxkc9Y7swWNGvau1YsUKLF68GGfPnkV8fDzeeustPPDAA1a9l4ESEREREREBHhgoNQYDJSIiIiIiAjxoeHAiIiIiIiJHY6BERERERERkwMfZBXCE2t6FnHiWiIiIiEjeamOCup5AkkWgVFl5ayI1TjxLRERERETArRhBpTKeqqKWLAZzqKmpwZkzZxAcHAyFwkkz7P1XRUUFoqOjUVJSwoElyAjrB5nDukGWsH6QOawbZIlc64cQApWVldBoNPDyMv8kkixalLy8vNCiRQtnF0MPJ8IlS1g/yBzWDbKE9YPMYd0gS+RYPyy1JNXiYA5EREREREQGGCgREREREREZYKDkYEqlEq+88gqUSqWzi0IuiPWDzGHdIEtYP8gc1g2yhPXDMlkM5kBERERERFQfbFEiIiIiIiIywECJiIiIiIjIAAMlIiIiIiIiAwyUHGzFihWIjY2Fv78/EhMT8f333zu7SNQImZmZ6NatG4KDgxEZGYlHH30UR44c0csjhMC8efOg0WgQEBCAPn364ODBg3p5dDodpk6dioiICAQFBeGRRx7BqVOn9PKUl5dj9OjRUKlUUKlUGD16NC5duqSXp7i4GIMHD0ZQUBAiIiIwbdo0VFVV2WXbqX4yMzOhUCiQlpYmpbFuyNvp06cxatQohIeHIzAwEJ07d0ZeXp60nPVDnm7evIkXX3wRsbGxCAgIQOvWrTF//nzU1NRIeVg35OO7777D4MGDodFooFAo8Nlnn+ktd7W6UFhYiKSkJAQEBKB58+aYP38+3Ho4BEEOs379euHr6yvee+89cejQITF9+nQRFBQkTp486eyiUQOlpKSI1atXiwMHDoh9+/aJ1NRUERMTIy5fvizlWbhwoQgODhYbN24UhYWFYtiwYaJZs2aioqJCyjNx4kTRvHlzkZWVJfLz80Xfvn1Fp06dxM2bN6U8Dz30kIiPjxc5OTkiJydHxMfHi0GDBknLb968KeLj40Xfvn1Ffn6+yMrKEhqNRkyZMsUxO4PM2rt3r2jVqpXo2LGjmD59upTOuiFfFy9eFC1bthRjx44VP/30kygqKhI7d+4Uv/32m5SH9UOeXnvtNREeHi7+85//iKKiIvHpp5+KO+64Q7z99ttSHtYN+fjyyy/F3LlzxcaNGwUAsXnzZr3lrlQXtFqtiIqKEk8++aQoLCwUGzduFMHBweKNN96w3w6yMwZKDnTvvfeKiRMn6qW1adNGpKenO6lEZGtlZWUCgMjOzhZCCFFTUyPUarVYuHChlOf69etCpVKJVatWCSGEuHTpkvD19RXr16+X8pw+fVp4eXmJr776SgghxKFDhwQA8eOPP0p59uzZIwCIw4cPCyFuHUy9vLzE6dOnpTwff/yxUCqVQqvV2m+jyaLKykoRFxcnsrKyRFJSkhQosW7I2+zZs0Xv3r3NLmf9kK/U1FTx9NNP66UNGTJEjBo1SgjBuiFnhoGSq9WFFStWCJVKJa5fvy7lyczMFBqNRtTU1NhwTzgOu945SFVVFfLy8pCcnKyXnpycjJycHCeVimxNq9UCAMLCwgAARUVFKC0t1fvelUolkpKSpO89Ly8PN27c0Muj0WgQHx8v5dmzZw9UKhW6d+8u5bnvvvugUqn08sTHx0Oj0Uh5UlJSoNPp9LrzkGNNnjwZqamp6N+/v14664a8bdmyBV27dsUTTzyByMhIJCQk4L333pOWs37IV+/evfH111/j6NGjAID9+/dj9+7dePjhhwGwbtCfXK0u7NmzB0lJSXpzMqWkpODMmTM4ceKE7XeAA/g4uwBycf78eVRXVyMqKkovPSoqCqWlpU4qFdmSEAIzZsxA7969ER8fDwDSd2vqez958qSUx8/PD6GhoUZ5at9fWlqKyMhIo8+MjIzUy2P4OaGhofDz82Mdc5L169cjPz8fubm5RstYN+Tt+PHjWLlyJWbMmIG///3v2Lt3L6ZNmwalUomnnnqK9UPGZs+eDa1WizZt2sDb2xvV1dVYsGABhg8fDoDHDvqTq9WF0tJStGrVyuhzapfFxsY2ZDOdioGSgykUCr3XQgijNHJPU6ZMwS+//ILdu3cbLWvI926Yx1T+huQhxygpKcH06dOxY8cO+Pv7m83HuiFPNTU16Nq1KzIyMgAACQkJOHjwIFauXImnnnpKysf6IT8bNmzA2rVrsW7dOrRv3x779u1DWloaNBoNxowZI+Vj3aBarlQXTJXF3HvdAbveOUhERAS8vb2N7sCUlZUZRejkfqZOnYotW7Zg165daNGihZSuVqsBwOL3rlarUVVVhfLycot5/vjjD6PPPXfunF4ew88pLy/HjRs3WMecIC8vD2VlZUhMTISPjw98fHyQnZ2Nd955Bz4+Pnp32W7HuiEPzZo1Q7t27fTS2rZti+LiYgA8dsjZzJkzkZ6ejieffBIdOnTA6NGj8dxzzyEzMxMA6wb9ydXqgqk8ZWVlAIxbvdwFAyUH8fPzQ2JiIrKysvTSs7Ky0LNnTyeVihpLCIEpU6Zg06ZN+Oabb4yalWNjY6FWq/W+96qqKmRnZ0vfe2JiInx9ffXynD17FgcOHJDy9OjRA1qtFnv37pXy/PTTT9BqtXp5Dhw4gLNnz0p5duzYAaVSicTERNtvPFnUr18/FBYWYt++fdJf165dMXLkSOzbtw+tW7dm3ZCxXr16GU0lcPToUbRs2RIAjx1ydvXqVXh56V+eeXt7S8ODs25QLVerCz169MB3332nN2T4jh07oNFojLrkuQ3HjRtBtcODv//+++LQoUMiLS1NBAUFiRMnTji7aNRAzz77rFCpVOLbb78VZ8+elf6uXr0q5Vm4cKFQqVRi06ZNorCwUAwfPtzk0J0tWrQQO3fuFPn5+eLBBx80OXRnx44dxZ49e8SePXtEhw4dTA7d2a9fP5Gfny927twpWrRowWFcXcjto94JwbohZ3v37hU+Pj5iwYIF4tixY+Kjjz4SgYGBYu3atVIe1g95GjNmjGjevLk0PPimTZtERESEmDVrlpSHdUM+KisrRUFBgSgoKBAAxJIlS0RBQYE0tYwr1YVLly6JqKgoMXz4cFFYWCg2bdokQkJCODw4WW/58uWiZcuWws/PT3Tp0kUaRprcEwCTf6tXr5by1NTUiFdeeUWo1WqhVCrFAw88IAoLC/XWc+3aNTFlyhQRFhYmAgICxKBBg0RxcbFengsXLoiRI0eK4OBgERwcLEaOHCnKy8v18pw8eVKkpqaKgIAAERYWJqZMmaI3TCc5l2Gg5Cp1Y/Xq1QKAyM3Ntct2k75XXnlFABBffPGFiI+PF0qlUgQEBIi7775bL19j60dSUpJISkqS6scdd9wh/Pz8RP/+/XnscGEVFRVi+vTpIiYmRvj7+4vWrVuLuXPnCp1OJ+VxlWMH2d+uXbtMXmeMGTNGCOF6deGXX34R999/v1AqlUKtVot58+a57dDgQgihEMKdp8slIqLGWrNmDcaNG4fc3Fx07drV2cXxePPmzcOrr76qN1v9oUOHAMDouaXGMFzn+fPn0bRpU7zyyiuYN2+ezT6HiMhTcdQ7IiJyiKtXryIwMNDZxbCZa9euwd/f3+RoTvXdVlsGSPZcJxGRnHAwByIiD3f48GEMHz4cUVFRUCqViImJwVNPPQWdTqeXr7KyEs8++ywiIiIQHh6OIUOG4MyZM3p5NmzYgOTkZDRr1gwBAQFo27Yt0tPTceXKFb18Y8eOxR133IHCwkIkJycjODgY/fr1AwBcunQJ48ePR1hYGO644w6kpqbi+PHjUCgURi0dx44dw4gRIxAZGQmlUom2bdti+fLlVm13TU0Nli5dis6dOyMgIABNmjTBfffdhy1btkh5TH0mALRq1Qpjx46VXq9ZswYKhQI7duzA008/jaZNmyIwMBA6nQ59+vRBfHw8vvvuO/Ts2ROBgYF4+umnrSpjrT59+qBPnz7S6xMnTkChUOD111/HokWL0KpVKwQEBKBPnz44evQobty4gfT0dGg0GqhUKjz22GPS6FKm1nnixAk0bdoUAPDqq69CoVBAoVDobSMREeljixIRkQfbv38/evfujYiICMyfPx9xcXE4e/YstmzZgqqqKr0Z1J955hmkpqZi3bp1KCkpwcyZMzFq1Ch88803Up5jx47h4YcfRlpaGoKCgnD48GEsWrQIe/fu1csH3Bp96ZFHHsGECROQnp6OmzdvoqamBoMHD8bPP/+MefPmoUuXLtizZw8eeugho7IfOnQIPXv2RExMDN58802o1Wps374d06ZNw/nz5/HKK69Y3PaxY8di7dq1GD9+PObPnw8/Pz/k5+c3aob4p59+Gqmpqfjwww9x5coV+Pr6Arg1itSoUaMwa9YsZGRkGI1a1lDLly9Hx44dsXz5cly6dAnPP/88Bg8ejO7du8PX1xf/93//h5MnT+KFF17AM888oxcE3q5Zs2b46quv8NBDD2H8+PF45plnAEAKnoiIyBgDJSIiDzZjxgz4+Phg7969ehfFI0eONMr70EMP4Z133pFeX7x4EbNmzUJpaak0X8eLL74oLRdCoFevXmjbti2SkpLwyy+/oGPHjtLyGzdu4OWXX8a4ceOktC+//BK7d+/GypUrMXHiRADAgAED4Ofnhzlz5hiVPTg4GLt370ZISIiUV6fTYeHChZg2bZrRbPO1vv/+e3z44YeYO3cuXnvtNb1tbIx+/frhn//8p1H6xYsX8emnn+LBBx9s1PoNNWnSBJ999pkUeJ0/fx5paWlo06YNPv/8cynf4cOH8fbbb6OiokLaV7e7fQjfFi1a4L777rNpOYmIPBG73hEReairV68iOzsbQ4cOtarl4JFHHtF7XRv0nDx5Uko7fvw4RowYAbVaDW9vb/j6+iIpKQkA8Ouvvxqt8/HHH9d7nZ2dDQAYOnSoXvrw4cP1Xl+/fh1ff/01HnvsMQQGBuLmzZvS38MPP4zr16/jxx9/NLst27ZtAwBMnjzZ4jbXl+H21AoNDbV5kAQADz/8sF7rVNu2bQEAqampevlq02snrCUiosZjixIRkYcqLy9HdXU1WrRoYVX+8PBwvde13fKuXbsGALh8+TLuv/9++Pv747XXXsPdd9+NwMBAlJSUYMiQIVK+WoGBgUatGxcuXICPjw/CwsL00g1nbb9w4QJu3ryJpUuXYunSpSbLe/78ebPbcu7cOXh7e0stYbbSrFmzeqU3luF+8vPzs5h+/fp1u5SDiEiOGCgREXmosLAweHt749SpUzZZ3zfffIMzZ87g22+/lVqRgFuDM5hiajS48PBw3Lx5ExcvXtS72C8tLdXLFxoaCm9vb4wePdpsq1BsbKzZsjZt2hTV1dUoLS21GMQolUqjQS2AW4GaKaa2yVI6ERG5L3a9IyLyUAEBAUhKSsKnn35qsfXFWrXBwO0DQAAw+cyOObUB1oYNG/TS169fr/c6MDAQffv2RUFBATp27IiuXbsa/Rm2gN1u4MCBAICVK1daLE+rVq3wyy+/6KV98803uHz5stXb5C4MWwiJiMgytigREXmwJUuWoHfv3ujevTvS09Nx11134Y8//sCWLVvwz3/+E8HBwVavq2fPnggNDcXEiRPxyiuvwNfXFx999BH2799v9Toeeugh9OrVC88//zwqKiqQmJiIPXv24F//+hcA6D2P849//AO9e/fG/fffj2effRatWrVCZWUlfvvtN3zxxRdGo+zd7v7778fo0aPx2muv4Y8//sCgQYOgVCpRUFCAwMBATJ06FQAwevRovPTSS3j55ZeRlJSEQ4cOYdmyZVCpVFZvk7sIDg5Gy5Yt8fnnn6Nfv34ICwtDREQEWrVq5eyiERG5JLYoERF5sE6dOmHv3r1ITEzEnDlz8NBDD2H27NlQKpXScy3WCg8Px9atWxEYGIhRo0bh6aefxh133GHUOmSJl5cXvvjiCzz55JNYuHAh/vKXv+D777/H2rVrAdwa5a1Wu3btkJ+fj/j4eLz44otITk7G+PHj8e9//1uak8mSNWvWYMmSJcjJycFf//pXDB06FJ9//rlel72ZM2di5syZWLNmDQYPHoyNGzfik08+0SuHJ3n//fcRGBiIRx55BN26dTM5hxQREd2iEEIIZxeCiIjkbd26dRg5ciR++OEH9OzZ09nFISIiYqBERESO9fHHH+P06dPo0KEDvLy88OOPP+L1119HQkKCNHw4ERGRs/EZJSIicqjg4GCsX78er732Gq5cuYJmzZph7NixehPDEhERORtblIiIiIiIiAxwMAciIiIiIiIDDguUMjMzoVAokJaWJqUJITBv3jxoNBoEBASgT58+OHjwoN77dDodpk6dioiICAQFBeGRRx6x2eSJREREREREpjgkUMrNzcW7776Ljh076qUvXrwYS5YswbJly5Cbmwu1Wo0BAwagsrJSypOWlobNmzdj/fr12L17Ny5fvoxBgwahurraEUUnIiIiIiIZsvszSpcvX0aXLl2wYsUKvPbaa+jcuTPefvttCCGg0WiQlpaG2bNnA7jVehQVFYVFixZhwoQJ0Gq1aNq0KT788EMMGzYMAHDmzBlER0fjyy+/REpKilVlqKmpwZkzZxAcHCzNLE9ERERERPIjhEBlZSU0Go3eROeG7D7q3eTJk5Gamor+/fvrjWhUVFSE0tJSJCcnS2lKpRJJSUnIycnBhAkTkJeXhxs3bujl0Wg0iI+PR05OjtlASafTQafTSa9Pnz6Ndu3a2WHriIiIiIjIHZWUlKBFixZml9s1UFq/fj3y8/ORm5trtKy0tBQAEBUVpZceFRWFkydPSnn8/PwQGhpqlKf2/aZkZmbi1VdfNUovKSlBSEhIvbeDiIiIiIg8Q0VFBaKjoxEcHGwxn90CpZKSEkyfPh07duyAv7+/2XyGXeGEEHV2j6srz5w5czBjxgzpde3OCAkJYaBERERERER1xhx2G8whLy8PZWVlSExMhI+PD3x8fJCdnY133nkHPj4+UkuSYctQWVmZtEytVqOqqgrl5eVm85iiVCqloIjBERERERER1ZfdAqV+/fqhsLAQ+/btk/66du2KkSNHYt++fWjdujXUajWysrKk91RVVSE7Oxs9e/YEACQmJsLX11cvz9mzZ3HgwAEpDxERERERka3ZretdcHAw4uPj9dKCgoIQHh4upaelpSEjIwNxcXGIi4tDRkYGAgMDMWLECACASqXC+PHj8fzzzyM8PBxhYWF44YUX0KFDB/Tv399eRSciIiIiIpmz+6h3lsyaNQvXrl3DpEmTUF5eju7du2PHjh16D1a99dZb8PHxwdChQ3Ht2jX069cPa9asgbe3txNL7vlapW/Ve31iYarN12urdboj7gfzOr7yFSp01QhReuOXVx9ydnFsrj6/LXv9Dok82e2/m6gQJX76O2+sWuP5T/Zhf8kldIpugjeHdnZ2caxmeJysJefjJa8xbMfu8yi5goqKCqhUKmi1Wj6vZAV7HXRMrVeOP2DuB/M8fd/U57fFkz9R/fF30zBtX9qGazdqpNcBvl749X8HOrFE1jH3fdeS4/fu6edRW7E2NrDbM0rkniwddOo6IDVkvY1ZpzvifjCv4ytf1Svd3dTnt2Wv3yGRJ7P02+iesdOBJXEvz3+yTy9IAoBrN2rw/Cf7nFMgK1lzLJTb8ZLXGLbHQImIXEKFrrpe6URE1jpfqas7k0ztL7lUr3QiOWGgREQuQeltei4Dc+lERNZSBfg6uwguq1N0k3qlE8kJAyXSY6kf65KhnRq8XnPvbcw63RH3g3nrJ/SoV7q72TzJ/JQGix7voPfa0u+Qfc2JTLP02xjdo6UDS+Je3hzaGQG++peDAb5eLj+ggzXHwun97nJASVwHrzFsj4ESGTF3QRcbEdTgdZp7b2PW6Y5uVNfUK508R9H5K2aX+XobH4pNXQQwSCIyr6C4vO5MZNKv/zsQj3dpjruaBuHxLs3dYiAHa77vPvdEOqAkroPXWrbn1OHBST4SYkIxMak1VmUfl9KeTWqNhJhQJ5bK8UxdEFtKlxNzgUTR+SseUU8snajMBcoMjIisZ+lmhNwumBti1H0t0euuCLe5qLb0fcsVr7Vsj4ESGXlt6yGT6d8eKWvUjy19YFt4eymQf7IcXVqGYmZKmwavy13xbo95nr5vEmJC8WCbpvjm8DmjZQyUiRrP3LEiLjKIF4p1WLjtV72L64lJrZE+sK0TS1Q3a84NnnKjrT7SB7ZFSns1is5fQWwE635j8exMegqKy5F38pLJZaXa641a96PLd2P5rt+x5/hFLN/1Ox5dvrtR63NHtXd7DG0/WOqE0rgWU/vG0+6EpbRXm0xn10uixkuICcVjCRqj9GNlV9gtz4KC4nK9IAkAVmUf94h95ik32sh5GCiRHktN2WqVf4PXuyG3GPtKtHpp+0q02JBb3OB1uitTF8ueclJqrPSBbbF5Uk8sGdoJmyf1xGwXv6NZX0uyjppMP3PpmoNLQuSZ7o9rajKd3bTMs9Tt2ZVZU76jf1Q6oCSuZeG2X/HYihzM+GQ/HluRg4XbfnV2kdwaAyXSY+nuS2P6eHOehj+560nJUYb89wA/ZEWOs4tiUxtyi/FHhem5XBrbWktEt/x+7nK90sl9uz1bUz65XWN4cuugszBQIj3mui40Fudp+JO7npQcoVX6Voj//l/As2YTt3TCbkxrLRH9qfxKVb3SCWa7N7t6t2dzXdlvJ7drDN6ItT0GSmTEHl0XhnWLQedolV5aQrQKw7rFNHid7koOz+I0RKyZoMhcuruxdMLWNAkwmV5QXI63so7grawjvCNIZIXTZrqxyu2CuT5amznGmkt3JX9UWG6Nvzsq2EElcQ28EWt7HPWOjNhrrp/PJvfGhtxi7C+5hE7RTWQZJNVKaa+G0ufWfYo+90TKPkgCILUkWZvubiydsE2Nemc4CtU/vv7NLUaiInKWguJyZB89b5R+d2SQrM83dTF3Znf1IWYKisuxueCMxTxyG/WOw4PbHgMlMmLPuX6GdYuR/QnL8AJYd7OGBzEZsNQia3gTwlQ/c+BWX/OU9mrWFyITzP3GJva5y8ElcS8KmL4hpXB0QerJml4ucmxJ4fDgtsWud2TEng/DFhSXY1P+Kdl2I+KDluZtntSzXunuxtIJ2/AmhKULAPY1JzKN3Y4aZlo/04GkuXRXUdf3ypYUsgUGSmTEXg/DcshK8xe573x9zMElcT0JMaFGz7F1jlbJ4kRn2KJk6QKAF31EpnGeOnkxdc643Z7jFxxYGtfBay3bYqBERuwxQh1bUm4xd5G768g52e0LQwXF5Sbn2vKU/WKpJciwRcncBR/vkBJZxnnq6s/c1B+NmRLEEUydM24nx7kaea1lewyUyIipC7oAX69GPVv07ZGyeqV7qoSYUDzYhhMimuLpw5paagkyNVBK7eS70/vdhen97vLICXiJbM3TjyP24K4tcdZ8p3KbR4nXWrbHQIn0mHuI/NqNGtndmbEXVYCvyXS5d6mS8/MF5gZKSYgJRZ97ItEy3PP3AZEtyPk40hju2BJnzXfKYeGpsRgokR5Ld2gac2fGXZv2bc3ccKZDEjSy71Ll6c8o1WfUu1rsa05UP6ZaQdhltW5LvzH9nKwrtsS9vv0whr+7Bzt//QMxYabnoKslt3mUeK1lewyUSI+lOzSNuTPDSVZvMXfS6W1mkl858fRnlCz9ts6YmCSTfc1Na5W+Vfojup25HhHJJlpL6E8FxeX45vA5k8tcrSWu24IsLN/1O/Ycv4jlu35H8UXTEwzXcsVAz554rWV7DJRIT0JMKB5L0JhcZus7M54ykWh9mDvpfH/M9ElKTh5bkWMy3VNOdAkxoQj0s/6Qy2ctjBkGRwyW6HYcVbRh3OX5lde3H8a5yvqNvstzqzyvtWyJgRIZiQkLNJnemIMp747fkhATirhI42Bpc8EZ2e2L21m64H3hk/0OLIn9bMgtxtUq013sNE2Mu4/wWQt95uoIgyWqxVFFbc+Vbszkn6z/dyi3cyuvtWyPgRI5BO+O31JQXI5jZdwX9WE6tHA/lp7xM9X1LiEmFEl3R+ilsQsFkXkcVbRhLD2/4ko3ZkzdULKGnL57RXDYagABAABJREFUXmvZHgMlMmKPhwF5d/wWSwcrue0La3krnF0C26jvM36PLt+N7KPnpddxkUEcHpyoDlMfjDOZzuOreeaGB3e1wXR63RVRdyYT5PTd81rL9hgoETmQuYOV3Ee9O7Ew1eyy3zPNL3Mnw7rFoEmgj8llhjchNuQWGw1scazsiqyH6N88qWe90kme+DB7w/xRcd0ozdUG02nIxb7cz63UeAyUyIg9Jixjc/AtpobAjosMwpJhCU4qkeswd8HrSifqxigoLselqzdNLtv56x96r81101u07bCti+U2eAFM1kppr+ZEzfVgbtoKwLXO0QkxoWga7Fev94zu0co+hXFRnHDW9hgokRFzs3GXao3vOFmLzcG3mBoC+1jZFY8JBhrD04NpS9th+JCyuW56F6/ekHWrkiGO5kSGauce+8fXv+EfX/+Gf+054ewiuTx36RK+Ibe43qPeecr5g5yHgRLpKSgux+HSyyaXqVX+DV6vp08mai0OX2uepwfTlrajS0v938GwbjEID/I1mbcxEz+7M47mRHUxVUc2F5zBcxsKnFQi9+AuXcIbcuyT2/DgnHDW9hgokR5Ld18a80Pz9MlErcXha82Ta9cqpbcCM1PaGKXPesg4DWjcxM/uzNNbHKnxzNUFuQ0RbSuu1mLbkGMfv3tqLAZKpMfchXyTAJ9GXbDyIucWDl9r2Se5JQCAID9vj3u2wNz3q6sWJk/kw7rFGLXCJkSrMKxbjF3K5+puVJseKN5cOsmPpVZbHl/Nc5cAs6GT3svpu+e1lu0xUCI9puZuAYBL12426tkIT+9WVR8cvta0VulbcfHqDQDAlapqPLYix8klsq2GXMR9Nrk3Fj3eASPujcaixztg8+Te9iqey/P1Nn26MpdO8pMQE4rHEjQml8n9+GqJpX3jSoMANPRiX07fPW8o2R7PMGSkuZlJ3eT6bIStybWLmSVd5u8wmX7Pi186uCTOYe4kVlBcDl9vLzzRNVq2LUm1Znyyv17pJE9vDUswCpbkfnz1FLP/Xf/futy+e95Qsj3Tk3qQrHWKboJ1e0tMpjeUpeZgOR3EaqUPbIuU9moUnb+C2IggWe6D25X/tyXJkO7mrW5pnrB/LN0NPXPpmlHawm2/6j2YPjGpNdI9qCsikb28NSwB97UOx/6SS+gU3UT2NxnqYq9nk23tRgMaRZLbq21fEBfG3ju2xxCTjNjj2Qj+eI0lxIRiSJcWHhEENFZooOkR3gDP6Vtdn7rOEd6MKeqZTvK1cNuvmL2xEOv2lmD2xkIs3Pars4vk0txl1DvfBlyxesr5w1rssWJ7dg2UVq5ciY4dOyIkJAQhISHo0aMHtm3bJi0XQmDevHnQaDQICAhAnz59cPDgQb116HQ6TJ06FREREQgKCsIjjzyCU6dO2bPYBNs/G8Efr76C4nJsyj8l6wvf2+W/nGx2mRyCaY1Bd1c+kGusaGFqvdLJ2JAVP6DDvK8wZMUPzi6K3fAmQ/2ZOj8PSdC43ETok/reVe/3yG14cFNcbfRCd2PXQKlFixZYuHAhfv75Z/z888948MEH8Ze//EUKhhYvXowlS5Zg2bJlyM3NhVqtxoABA1BZWSmtIy0tDZs3b8b69euxe/duXL58GYMGDUJ1dbU9i0641bKUMaSj3botyPXHWzsh4oxP9uOxFTm82/lfJxamQumj3z7gScG0pSDHsP84W2BNO2EQFBm+JvNapW9FfvElVF6vRn7xJbRK3+rsItnF0m9Mz0kn55sM1kgf2Fbv5qirBUkN5Woj99kbbxTYnl0DpcGDB+Phhx/G3XffjbvvvhsLFizAHXfcgR9//BFCCLz99tuYO3cuhgwZgvj4eHzwwQe4evUq1q1bBwDQarV4//338eabb6J///5ISEjA2rVrUVhYiJ07d9qz6LJXUFyOt7KO4K2sIzb5gfHHewv3g2VHXnsYmyf1xJKhnTxueHBLQY7hYA5sgTXN8KYCbzJYx1wLkqe1LBUUl+Obw6ZbEOR+k6Eu7tBdsaHPS8kpSGZvBNtz2DNK1dXVWL9+Pa5cuYIePXqgqKgIpaWlSE7+s8uNUqlEUlIScnJuDQucl5eHGzdu6OXRaDSIj4+X8pDt1bZ4/OPr3/CPr3+zSasHf7y3cD/UTY7PbpkakSh9YFuPDRobgjcZGi6/+FK90t2VuePog22ayup4Ul/u8tsydQPJ8HlqU+QUJLM3gu3ZPVAqLCzEHXfcAaVSiYkTJ2Lz5s1o164dSktLAQBRUVF6+aOioqRlpaWl8PPzQ2hoqNk8puh0OlRUVOj9kXVMHTCBxh80+eO9hfuhbp76/JalYNjc8OAJMaGIjQhC0fkrHrc/6os3GRqmri52ntQFz9xx1NzcdXSLud/QO1+b7sboSq7oblpcziCZGsvuw4Pfc8892LdvHy5duoSNGzdizJgxyM7OlpYrFPrPJAghjNIM1ZUnMzMTr776auMKLlOWLjoaM5T39oPGga0cuxLV3hG7PRiV434wx5OHxLYUDJub48KT90d98SZD/XlSEGQNU8dXVxu5zRWZ+w3tOnLOodMzGNZXw2cQTd3IPVZm+UaJ3IJkTsVie3ZvUfLz88Ndd92Frl27IjMzE506dcI//vEPqNW3xrY3bBkqKyuTWpnUajWqqqpQXl5uNo8pc+bMgVarlf5KSoznBCLTLF10NPSCxFwrldzmN6hV26VqWNcWSG4XiVa80APgPt0/7MFUi5Kc94cpfG6rfuQWJNVKH9hWb8LZTQVnXPJ5G3fx7ZEyh3yOqfpqmOaosrgz3lCyPYfPoySEgE6nQ2xsLNRqNbKysqRlVVVVyM7ORs+ePQEAiYmJ8PX11ctz9uxZHDhwQMpjilKplIYkr/0j65i6GAEad0HCLjPGXv3iIDb8fAo7DpVh9sZCPLp8t7OL5HSPrTD93KGn1JP6TjjL340xw8BxpYkbMCRvBcXl2FxwRi9NzjcYrOHsY4qloP72ZaXa6/Vetzt0H7SlhJhQo+e2OkereEOpEeza9e7vf/87Bg4ciOjoaFRWVmL9+vX49ttv8dVXX0GhUCAtLQ0ZGRmIi4tDXFwcMjIyEBgYiBEjRgAAVCoVxo8fj+effx7h4eEICwvDCy+8gA4dOqB///72LLqspQ9si5T2aunuTZ97Ihv1IzN3J+P7Y+cwpEuLBq/XXW3ILca+Eq1e2r4SLTbkFst2Bvku83eYXeYpd8LMPYdkDu8M6os1czEVm76VcymRhF2P6s/SMaWhI81Zy5qWz+c/2Yc3h3aGWuVf7/U7uvugsxUUl5u8vpDTPrA1u7Yo/fHHHxg9ejTuuece9OvXDz/99BO++uorDBgwAAAwa9YspKWlYdKkSejatStOnz6NHTt2IDg4WFrHW2+9hUcffRRDhw5Fr169EBgYiC+++ALe3t72LLrsJcSEos89kWgZ3viLsoSYUL2uELXkNr9Brf0ll+qVLgflV2+YXeYpB3dzzyEBxhPOAuxqZsjcvGtynY+tLpsnme914cl4g6H+7NGTxBrWdg+tPTdyePC6sSeC7dm1Ren999+3uFyhUGDevHmYN2+e2Tz+/v5YunQpli5dauPSkSW2foj8/rimRt0hAHne5esU3QTr9ho/N9cpuonjC+MiQgN9cdFEsBQW6OuE0thHQwZzqG3dLTp/BbERQbL7rdxOAdNBkeWhf+TL1MAGpnjSbwzgwEENlT6wLby9FMg+cg5qlT8m973LLvusIc/O1V7k13YrM2wxqYucgmTeKLA9hz+jRK7PHg+R88f7J1N3dhKiVbLtdgcA+S8n1yvdHSXEhCLBzJwfv5+77ODSuJ9NZlpIzKWTdeoaXtmdcOCghnt0+W4s3/U7DpypwM5fyzDr3/tt/hkNHWCkWtx6b6v0rfUOkuQ26iGfUbI9BkpkxB5Nt+xGdIu5E/nLg9s7oTSu5cTCVIQF+kKBW3e5DYeG9QRtm5keWKb8SpXJ9NrJn2d8st8mEz+7M3YpqR9zxxpDumrP6bzIOtIwpp6bPVZ2BWP+7yebfYazRmHsHdfUKZ/rLJaeUaKGsfs8SuR+7NX6k9JeDaXPrdi8sQNEuCs+aGxZ/svJKCgulyZY9bR98v2xcybTTXW7NNeym9Je7XH7xRpsla4fOQYHrCMNY+752Oyj521yHHbmUPVy++55jWF7DJScyBYHD1vddb+9LCcWptp8UlTDZ550N2tk+aPlidwyT55gdUNuMUrKjYe3DVZ6m+x2yROePk7WXD/1HWXRE5h7Lmv7wVLWEwvMPTcLNP54I9f5vJyF1xi2x0DJCWx54LDHQej2dU7vd1eDW38slW1V9nGruoXUBoIN2U4vAMdvCyStXUdjPvP295v73PqcyOuaqdyTeHoLirm7tpW6apN3bXnCM8bBLaxnaZRFQ63St3rMsSWlvdqjjyP2MKxbDP7f98dxrMz45kxjjjf1OYeeWJhql+uZx1bk1HlONnfON1cmS/lNfcaJhanYkFuM2RsLTea1VDZrdIlpgk2TegEwPeAFn1FqHIUQwnM6KJtRUVEBlUoFrVbr9MlneXeFGstTLmgMbco/hRmfGD9AvGRoJ4+Yb8vwRHk7c9to2ML2bFJrzHbDFrbnP9mHjfmnjdIbUpcbcwz1xN+OO55TzF1Q1pUXAIas+AH5xZfq/ZmufByp73d4YmEq2r20DVdvOK/V0JYX+o29OUnWq88x8PbvI9DXC4f+d6A9iuQ01sYGDJQciAcBsjVPuvArKC7HYytybL5euZ2ELd09tVRfGrN/Jve9EzNT2jR4vdbWY1t+h9ZcrNfngt7az7IVudRnZwkzMWVBY1s97NVq4q7qaukh97R5Us86z+WucO3CQOk2DJTIk7nCAccW+PtwLFtftDUN9kPu3AF6afXtemOJPeqHNfvAVvvJHs+TErkrU78HZ7eSkWM5+9rF2tiAw4MTuTlPuHDqnrHT2UWQHVvXm3OVVXh9++EGr98Z9diaz7RVuWyxHk/4rROZu0D2tK5dZJm7HM8YKDlIrJtUCHJPDyz+xtlFaJTzlTpnF4FsYPmu351dBI/lLhcVRJY4uxWBqL4YKDmIx/dvJKc6q73m7CI0SkSw0tlFICIiO2KQRO6IgRKRB2imCnB2ERrlp7/3d3YRyMlahVmuw+GBvg4qiT6Vv7dN1uPDsy3JGIMkclecR4nIA3w360FnF4FI0pBuYn9JaG5x+QWDEcgcRXu92imfa2jJ0E4mh88nclUMjsgTMFAicnMTk1o7uwhEktsHdKiPPvdE2rgkriXAt3EtU3KeaJhckz0CoZiwABRfdO+u5ORZ2BnAQSb3vdPZRSAPtSr7OAqKy51djEZTeiucXQSygfyTDauLzpg53suBVU7TpHHdY52xf4gcjb0jyNUwUHIQc5MxEtnCt0fKnF2ERvNy5FUr2U2Xlg27oK8r2G9kg4xJCgeOspPYwP1CROSpNuQWO7sIdWKg5EAxdTysTNRQpdrrzi5Co13jRINuLzLYr8E3hYrOX7G43B4Dljjy6SPdTdZvIms83sXy84rkOV7dctDZRagTn1FyoO9mPWjyIWdz/Xyf/2Qf9pdcQqfoJnhzaGfpdUiAL9qog5F3shzlV6twvaoaQgFU3aiBwguorhbw9lbgxk0BLy+guhrw9r71r6lTdbDSG8H+vpjePw53RwVj0to8nK3gvDbuRK3yd3YRGsUTug4SsHfugAa/t65ncP7xZAIeW5HT4PU3VP+2kdj5a+NbbEsuXm30OrwVQHUjWsGeTWqNPccvYF+JttFlIXmz5+MEbw7tjC8LzxrdPFN6K6BrzA+AXM5VN7hBqhBCeHytq6iogEqlglarRUhIiLOLgwcWf4Oz2mtopgpwSn/c2PStEAAUAIpMBGkFxeUmL0gCfb1wh78PyiqrrP6szZN6OuXiRm42T+ppl2cY6hq9rLEP83ISTc/hrQB+z7xVH1qnbzV5U4YsW/R4BwzrFmNy2YbcYszeWNjgdd9+jNiQWyzdhAOAjXmncK5ShwuXdRC49TxVxbUbuHilCgJAlQMuThOiVShgAAdfbyAsSIk/XPhmZWSwX6NuiljL8GYxAHRbkIVz9bgGIdfnrNERrY0NGCiRSQu3/YpV2cel188mtcbsgW0bvL4hK37AsbJKKATg7+eN9hoVVo+712S+/OJLDfqMAF8v/Pq/AwFYvqjwVgC+Pgq0DAvC9ueSAJi/YH82qTW8vBTIP1mOLi1DzXYrcoULflsfbKzdpoZ+rivsM0t8vYAaoX8H39QdfS8AQf7eiIsMxrBu0dhfcgmHSysbXI/d1eS+d0q/D0d+t3XdJLBXWfq3aYr/N9b4GNbYz+scrcJnk3vXa72WAixXMm71Xhw8o8WFy1WoEbeO2Y8mNEen6CZ65d+QW4yV3/6OK7qbeODuptj923mjwOH2wPz2wG9Yt//P3p3HR1nd/f9/D1mGJCZDQkjGkQSCpYAGEIIiiAbKpmWp2ruiKNVqW5FFU1AB8a7oVwlii7ZF3O7+pLdbqLdgbVVKVIylgERIlEVcaiBBCAEJkwAhCcn5/UEzZbbs+7yej8c8Hsm5PnPNuWbOzFyfOec6J7HVP1ua0tNnDbLoi8d+6HPb8KXv6WhpuWIj6584+fo8fuLve92+wzyfrzXZ+Xpj+wFZLNLHed69+11DLAoPCVY/e2St34Ot5Ym/79Wabfk6etJ7yYAfD71AdltXPb3xX17bwkO6yNEtTPu/O6kz1VJtL1lcZKi6hgTpgm5hrmOuab/FJ8+234jQIE0e7HCN7rFYLIq0BrsldjX3OXH6jM/ek+7hIfVa+qBf/Hk66CxT37hIrZ11hWu/0eGhSukVrU1fH+2wswWSKLUDJEqNk5NfrLyjJ5UUG9GqMy75+pKrOQk794vj4wfG+fzFqa59+XtT1uzbFhaiBydf1ODjnvhklvYfOylbWKjG9o/Tq9sK3B6zZv/nfqGuuGGwkmIjmq3Xrbk+cBp6otHQx23sicy+ZZPUb/E7TRp+ce6JtecJRH009H1R8yNB37hIfX6oxGs4SU2C73nyIknXPr2pTYdJ1fcE8NxfmFv7JHVoYjetnXVFrTEtVSdf7b45Hssz8Wnpnt2Ooubk0N8Pbedq6XYYEx6iHb+e4FZ24aK3VWX+k8Rd9N/v+jw5Dg/poj3//lGvIYY+skHFpyoVfc5jD3povUrKqxRlDdJnD1/duIPxUNf3ansx4L/fdfs8PffHUsn79fClIecIzaGmt72LpG/+/Th1tdX6/lBd2w/c9R3J1Jjno7b676vHMZIotQMkSh3PuSeXdZ0E1aUmgTm3B6k9quvDclz/Hnpv75FaYzpjolTfk9Fz42rrIWxKz2hzmP/nXP19d6EkaeLF9jpPRM5NoHz1ktYc9/Cl7/n81TmkizSsd4y2fHPM72N0kZTar0etJ5/nPqf7lk3ym2S2dqIU2TVIO5fUfoLY0RKlCRfF6fmfXlrvfQZKotRYNe+hQ87TOl1ZpaG9orXlX9/5/I6p67kekmDTOh89fv609ol4oGmOpK7vA2+rsvrsZ+VXS9vmtfE852nsD9XN8QN3fRJMT/Vp5+3tvUCidA4SJXQEdfWUXNY7Wtv21T7pQaAkSpLvX1fPVZMgx0V2Vdq477d6z2hLqesaQ8+ExpNnr2xzq+u1jbIGqaS8+eab64w9StOG9dTj/zW43vvkxLt5eX62+OrtbYianqXG9iQBHUFd3z31jWktJErnIFFCR3DJw3/X8bIzfrdf2qubXr/rCr8nTc35ofOTZzcru46krCmPO/n3H2nXwdIW2TfaXl1ttDkTl/q2keZOlmp73KY+lud1V/4m2KmrHgAA3+qbG7COEtBOVFTVPk+YxXJ2QVZfJ0bNfbLUp46pms/VmAXj7FF1T2fOCWDHVVcb3bdskqKsTVtBdmhitwa1kfrErps1sln21dxtd0hitGam9mnxxwEAuGMdJaCdOFVRe6JUWv6f3qaZqX3cLtpc9u7nWtiM1940ZF2m9z8/3ODhKOMvtvu83qqjzN6FutV1Et9cF543RG3LFcwec6GGJEbrnrHf0+/e/9rvPu4Z+716PVbN8d/w7OY6h8x6yjt60muY6MJrBiioHjNwAgCaDz1KQAdxtPTshfo5+cVuSZIkPZv1TbMu2jq6X1y9Y6urGz56NyTI90ePv3KgpQV3Odtj25C2Xx8ny/0Pp/Wn0kfv8rVPb9LTG/+lLd8c09Mb/6Vrn97UHNUDANSCsxKgg6g4c/YC+A+/KPK53V95S7v4AluD7/OvIycaVA40h4xt/oeJ7v727DTs/oa51WhoIhVu9T9w4wf9e/gs9/zBYE12vtc08bkFzkYNewUA1B+JEtBOdD8vtNbtF0SHt1JNaj+h9NSYX+Cz83xPVe2vHGgOxacq/G7r8u8epdpckmBr8MyJp2rpUYoO9/2e9+xR+rTguM84f+UAgOZBogS0E7ERtSdKA84/OyuLv8SkOYcMrfnkgM/yqK7eF+A35MSx98K31Xvh236v2bDUfa4KNNrYAfF+t0V2DZHke2hrjdwCZ4OHuNY2MPW9PYU+yxe8sVNP/H2v6/9zF68+1+CEbg2qCwCgYUiUgHai4NipWreXnq6UJH152Pe02v4uUm+o2qY2Ljntvf5NfadCrk/c9UN71mtfQGN8Pz7S77aa91ddval5R0826DEPO0/73Xaq0v8ELk9v/JcufSyz1vdNbccDAGg6EiWgnSir5aRJkgqKyySd/bXZn6au39LY+9d1v/rut7ZjA5qqth8TNuw5e42fv97UGvP+/GmDHvO7U5V+t1XWssC0JB0p9T9UUGq+H0cAAL6RKAHtRF1zx5VXevfmAAAAoGWQKAEdxDdHax+aBwAAgOZDogR0MLUt5FnXIp91SXY07pqHacNqv7ZoTD/f0yB7amr9gdrU571TVxtsaBttyfcr7xcAaFkkSkAH5OsE6ZKEhq9n5CksxHtWu3Mfc8JFvmfWq23aZUkKCap7OjtO+tAafLUzzzJ/bbGxbbS2x6xrn8mOqGatCwCg/vyvhNcM0tPTtXbtWu3du1dhYWEaOXKkHn/8cfXr188VY4zRww8/rOeff17FxcUaPny4nn76aV188cWumPLyct1777167bXXVFZWprFjx2rVqlXq2ZMZshCYfC00WbMA5bRLExu93z49zlP2/uNe5TU9RmMHxLsuej9XbdMuS1LxSd+J1KW9uun1u65oeEWBJqhPktHciUhdPUs/eXazsn1Mmx8WGkRSBABtpEV7lLKysjR79mxt3bpVmZmZOnPmjCZMmKCTJ/8zvery5cu1YsUKrVy5UtnZ2bLb7Ro/frxKS/8zBXJaWprWrVunjIwMbdq0SSdOnNDkyZNVVcXF7eg8GjLkp6UWoPzuRHmt5dMuTfTquRqSYKszOTvqJ1HyVw4Emj6xEQ0qBwC0vBZNlNavX6/bbrtNF198sQYPHqwXX3xR+fn52r59u6SzvUlPPfWUFi9erOuvv17Jycn605/+pFOnTunVV1+VJDmdTv3xj3/Ub3/7W40bN05DhgzRyy+/rJ07d+q9995ryeoDra6+Q378LTTZ1AUoS06fqbP88j7d3bYN9/jfl2N+EiJ/5UCgsdu6NqgcANDyWnTonSen0ylJiomJkSTl5eWpsLBQEyZMcMVYrValpqZq8+bNuvPOO7V9+3ZVVla6xTgcDiUnJ2vz5s2aOHGi1+OUl5ervPw/v4yXlJS01CEBza4+w2ymXZqo32z4wmudlQVv7PRai8jX/oY+skHHalnfxVPSv3/Vzskv1rNZ37htezbrG0282K4hidF+719xxvcaUZa65kQHAsSZat9vht+9/7V+9/7Xrv8ZhgcArafVJnMwxmjevHkaNWqUkpOTJUmFhYWSpPh49+sb4uPjXdsKCwsVGhqq6OhovzGe0tPTZbPZXLeEhITmPhygTeXkF9e5GGUNz8Veey98u0FJkiTFRlolSXlHT/rcXtvCl9c+vcnvYrphof4njwACyVeHS+sOUtMXlQYA1F+rJUpz5szRZ599ptdee81rm8XiPiOWMcarzFNtMYsWLZLT6XTdCgoKGl9xoB2qLTHxpebkaugjGxr1eE9v/Jckad6fP/Ub42vfa7LzlVvg9HufQyW+r4kCAo2vSVL8IVkCgNbRKonS3Llz9dZbb2njxo1uM9XZ7XZJ8uoZKioqcvUy2e12VVRUqLi42G+MJ6vVqqioKLcbADW4J6khin3su6mTSwAAALSVFk2UjDGaM2eO1q5dqw8++EBJSUlu25OSkmS325WZmekqq6ioUFZWlkaOHClJSklJUUhIiFvMoUOHtGvXLlcMgLrl5BerHssZNZqvYXRNnVwCAACgrbRoojR79my9/PLLevXVVxUZGanCwkIVFhaqrKxM0tkhd2lpaVq6dKnWrVunXbt26bbbblN4eLimT58uSbLZbLrjjjs0f/58vf/++8rJydEtt9yigQMHaty4cS1ZfaDdaswF3Rnb8tWre3iTHq+2x33l58O9ynxNJ+5rv0Cga8h7gfcNALQOizGmxead8ncN0YsvvqjbbrtN0n8WnH3uuefcFpytmfBBkk6fPq377rtPr776qtuCs/WdpKGkpEQ2m01Op5NheOhUGnKtwsXnRyrcGuxzUcva+Dop83zcu1L7aME1A/zuY012fr1m4wMCXV3vad43ANB09c0NWjRRai9IlNBZPfH3va6JFupyWe9ojbiwu9tUwzXuGfs9/Wp8vwY99prsfH1acFyDE7rVueAsAABAe1Hf3KBV11EC0LyKG7Bg649Teur78ZE+E6XR/eIa9LjL3v3ctZ7Sq9sKlHf0pBbW0qMEAADQ0bTa9OAAml99J0uIiwzVtEsTNSQxWj0iQ7221bZYrCd/i87m5DdsSB8AAEB7RqIEdGDTLk30Snx8KSqtUE5+sdZk53stVFtUWqE12fn1fkx/i876KwcAAOiIGHoHdGA5+cVeiY8/163arAkX+R5i9/7nh+t9nVFSbESDyiX3C9S5GB0AAHQE9CgBHVhDe3E27CnyWV5d3XJzunjO4tWQmfoAAADaCokS0IHN+/OnzbKf9/YeqXfsdas217vcX1JEsgQAANo7EiUAAAAA8ECiBAAAAAAeSJSADqy5JkZoyH78xfoqb0gsAABAe0KiBHRwTU067hn7vQbF+1svyV+5Z/1IkgAAQEfA9OBAJ+Ar+cjJL/Y78cK5RvfzPWW4P7Wto+Rv4dp1s0Yq7+jJWqcQBwAAaE9IlIAA997nh/0mOL40dB2lZe9+rmezvnH9PzO1jxZeM6BhlQQAAGhlDL0DOqkPv/C9ZpKnrHrG1RiSGK2ZqX3cyu5K7eMz2crJL3ZLkiTp2axv/A7TAwAAaC/oUQICnD2qa4Pvs/CaAUqKjdCnBcc1OKGbpl2a6DOuMcP0AAAA2gN6lIBOqr7XHs3+Qd8G73vZu59rwRs79eq2Ai14Y6ffBWQbOkwPAACgvSBRAjqpl7fur1fcl4dLG7RfX8PpJPlMlvz1GtGbBAAA2jsSJaCTemPHt/WK+7TgeIP2W9tMep7J0vCl7/mM81cOAADQXpAoAQFucEK3Ftv30dLyBpUDAAC0FyRKQIDzNxFDc4iNtDaoHAAAoL0gUQI6KV+L0DYmpiH3WTdrpNv/Hz8wzmecv3IAAID2gkQJ6MRqS2oakyTV8EyI6qpDfJRVQRYpPsrapMcFAABoLayjBHRyLZGYNHR9JHqQAABAR0OPEoAGY30kAADQ2ZEoAQAAAIAHEiUADVbb0DsAAIDOgGuUADRYZVV1g8rPXYiWyRwAAEBHQI8SgAYLCfL90bHgjZ1eZecmSb7+BwAAaI9IlAA02Lw/f+p327mJkL+kiGQJAAC0dyRKAAAAAOCBRAkAAAAAPJAoAWiw2iZkuGfs91x/r5s10meMv3IAAID2gkQJQKNMG9bTZ3mh87Trb6YRBwAAHRWJEoBGsdu61lmeFBvhM8ZfOQAAQHtBogSgUUb3i6uzfEhitGam9nHbfldqHw1JjG7RugEAADQVC84CaFELrxmgiRfblXf0pJJiI0iSAABAh9CiPUofffSRpkyZIofDIYvFojfffNNtuzFGS5YskcPhUFhYmEaPHq3du3e7xZSXl2vu3LmKjY1VRESEpk6dqgMHDrRktQHUQ8a2/AaVAwAAdCQtmiidPHlSgwcP1sqVK31uX758uVasWKGVK1cqOztbdrtd48ePV2lpqSsmLS1N69atU0ZGhjZt2qQTJ05o8uTJqqqqasmqA6hD8amKepX/ak2Orlu1WfP+/KmuW7VZy979vDWqBwAA0CQWY4xplQeyWLRu3Tpde+21ks72JjkcDqWlpWnBggWSzvYexcfH6/HHH9edd94pp9OpHj166KWXXtK0adMkSQcPHlRCQoLeeecdTZw4sV6PXVJSIpvNJqfTqaioqBY5PiDQPPH3vXp64798bquZPvxXa3K0Lueg1/Z1s0YyBA8AALSJ+uYGbTaZQ15engoLCzVhwgRXmdVqVWpqqjZv3ixJ2r59uyorK91iHA6HkpOTXTG+lJeXq6SkxO0GoHn5S5IkqffCt5WTX+wzSZKk61b5f/8CAAC0B22WKBUWFkqS4uPj3crj4+Nd2woLCxUaGqro6Gi/Mb6kp6fLZrO5bgkJCc1cewB1+fCLorauAgAAQKO1+fTgFovF7X9jjFeZp7piFi1aJKfT6boVFBQ0S10BAAAABIY2S5TsdrskefUMFRUVuXqZ7Ha7KioqVFxc7DfGF6vVqqioKLcbgOZVcx2SL+tmjfS7zlLNdgAAgPaszRKlpKQk2e12ZWZmusoqKiqUlZWlkSPPnkSlpKQoJCTELebQoUPatWuXKwZA2/GVLF2SYNOQxGgNSYzWdUMcbVArAACApmvRBWdPnDihr7/+2vV/Xl6ecnNzFRMTo8TERKWlpWnp0qXq27ev+vbtq6VLlyo8PFzTp0+XJNlsNt1xxx2aP3++unfvrpiYGN17770aOHCgxo0b15JVB1APOfnFXmW5BU7l5BdrSGK0ruzbw+eEDnlHTzLrHQAAaNdaNFH65JNPNGbMGNf/8+bNkyTdeuutWr16te6//36VlZVp1qxZKi4u1vDhw7VhwwZFRka67vPkk08qODhYN9xwg8rKyjR27FitXr1aQUFBLVl1APWQd/Sk3/IhidFKio3wud1fOQAAQHvRausotSXWUQJaRk5+sc+pvmvWSVr27ud6Nusbt213pfbRgmsGtFYVAQAA3LT7dZQAdHxDEqN1SYLNrazmGqWc/GKvJEmSJlxsb63qAQAANBqJEoBGy8kvVm6B062s5holf+sosb4SAADoCEiUADSav2uUrlu1WWu25fvc9s+vv2vJKgEAADQLEiUAjVZZVe13W2Fphc/yT/Z7z5QHAADQ3pAoAWi0kCA+QgAAQOfEWQ6ARmOabwAA0FmRKAFotCGJ0ZqZ2sfnNn/l+5ZNaskqAQAANAsSJQBNMtHPdN8TL7Zr3ayRbmUkSQAAoKMIbusKAOjY/M18l3f0pK4f2pPkCAAAdEj0KAFoEn/XKXH9EgAA6MhIlAA0yZDEaF2SYHMruyTBpiGJ0crJL9baHQeUk8+U4AAAoGNh6B2AJsnJL1ZugdOtLLfAqV+tydG6nIOuspmpfbTwmgGtXT0AAIBGoUcJQJP4u0bp3CRJkp7N+oaeJQAA0GGQKAFokoZci+QvqQIAAGhvSJQANMn1qzbXO3benz9twZoAAAA0HxIlAE1i2roCAAAALYBECUCTWNq6AgAAAC2ARAlAk+Q1YEHZdbNGtmBNAAAAmg+JEoAmq08CdFdqHw1JjG6F2gAAADQd6ygBaLIhidGamdpHz2Z94yq7K7WPunSxaMf+Yg3tFa37JvZvwxoCAAA0DIkSgBbxfzsO6EhphSRpyzfH9M+vj+rN2aPauFYAAAD1w9A7AE2Wk1/s1pskyZUk1cgtcGpNdn5rVgsAAKDRSJQANFl9F5L9tOB4y1YEAACgmZAoAWiyfx05Ua+46IjQFq4JAABA8yBRAtBkxScr6g6SdGGP81q4JgAAAM2DRAloQ9ev+qcGLlmv61f9s62r0iT17Sl6fP3eFq4JAABA8yBRAtpI74Vva0f+cZWertKO/OPqvfDttq5So9W3p+jYyfIWrgkAAEDzIFEC2oC/HqSO2rOUFBtRr7jzbWEtXBMAAIDmQaIEtIGvikobVN7e1Sw4W5eP7v9BK9QGAACg6UiUgDbQNy6yQeUdwcJrBtS6fd+ySa1UEwAAgKYjUQLawNpZVzSovKPwlwyRJAEAgI6GRAloI/uWTdLQxG6K7BqkoYndOk0y4XkcneW4AABAYLEYY0xbV6KllZSUyGazyel0Kioqqq2rAwAAAKCN1Dc3oEcJAAAAADyQKAEAAACAhw6TKK1atUpJSUnq2rWrUlJS9I9//KOtqwQAAACgk+oQidKaNWuUlpamxYsXKycnR1deeaWuueYa5efnt3XVAAAAAHRCHWIyh+HDh2vo0KF65plnXGUDBgzQtddeq/T09Drvz2QOaC05+cXKO3pSSbERGpIY3ezxHU1OfrE+/KJIkjS6X1ynPMbG6Ayve05+sTK25WvNJwfqjK1t5sM12fl6//PDig4P1Y2XJfp9PjrDcwZ3a7Lz9WnBcQ1O6KZplya2dXXQSI15b/Ze+Hat2/19Zpx7P2ZURVPUNzdo94lSRUWFwsPD9frrr+u6665zld9zzz3Kzc1VVlZWnfsgUUJrWPbu53o26xvX/zNT+9S6CGtD4zsaz+OTOt8xNkZneN19vbZ18XVSc+3Tm5Rb4HQr8/V8dIbnDO48X/tLEmx6c/aoNqwRGqMx7826kqQanp8Zvu5HsoTG6jSz3h09elRVVVWKj493K4+Pj1dhYaHP+5SXl6ukpMTtBrSknPxirxPHZ7O+UU5+cbPEdzS+jk/qXMfYGJ3hdff32tbF8yRnTXa+V5IkeT8fneE5gztfr31ugVNrshlO35E05r1Z3yTJM9bf/RqyP6Ax2n2iVMNisbj9b4zxKquRnp4um83muiUkJLRGFRHA8o6ebNHyjqa24+gsx9gYneF1b666flpwvF6P0RmeM7jz99rX1ibQ/vDeRCBo94lSbGysgoKCvHqPioqKvHqZaixatEhOp9N1KygoaI2qIoAlxUa0aHlHU9txdJZjbIzO8Lo3V10HJ3Sr12N0hucM7vy99rW1CbQ/vDcRCNp9ohQaGqqUlBRlZma6lWdmZmrkyJE+72O1WhUVFeV2A1rSkMRozUzt41Z2V2ofvxe2NjS+o/F1fFLnOsbG6Ayvu7/Xti6e1xJMuzRRlyTYvOI8n4/O8JzBna/XfkiCjQkdOpjGvDcbck3RubH+7sc1Smhp7X4yB+ns9OAzZszQs88+qxEjRuj555/XCy+8oN27d6tXr1513p/JHNBamPXOHbPe+dYZXndmvUNTMetd58Csd+iIOs2sdzVWrVql5cuX69ChQ0pOTtaTTz6pq666ql73JVECAAAAIHXCRKkpSJQAAAAASJ1oenAAAAAAaG0kSgAAAADgIbitK9AaakYXsvAsAAAAENhqcoK6rkAKiESptLRUklh4FgAAAICkszmCzea9VEWNgJjMobq6WgcPHlRkZKQsFkub1qWkpEQJCQkqKChgYgl4oX3AH9oGakP7gD+0DdQmUNuHMUalpaVyOBzq0sX/lUgB0aPUpUsX9ezZs62r4YaFcFEb2gf8oW2gNrQP+EPbQG0CsX3U1pNUg8kcAAAAAMADiRIAAAAAeCBRamVWq1UPPfSQrFZrW1cF7RDtA/7QNlAb2gf8oW2gNrSP2gXEZA4AAAAA0BD0KAEAAACABxIlAAAAAPBAogQAAAAAHkiUWtmqVauUlJSkrl27KiUlRf/4xz/aukpogvT0dF166aWKjIxUXFycrr32Wn3xxRduMcYYLVmyRA6HQ2FhYRo9erR2797tFlNeXq65c+cqNjZWERERmjp1qg4cOOAWU1xcrBkzZshms8lms2nGjBk6fvy4W0x+fr6mTJmiiIgIxcbG6u6771ZFRUWLHDsaJj09XRaLRWlpaa4y2kZg+/bbb3XLLbeoe/fuCg8P1yWXXKLt27e7ttM+AtOZM2f04IMPKikpSWFhYerTp48eeeQRVVdXu2JoG4Hjo48+0pQpU+RwOGSxWPTmm2+6bW9vbWHnzp1KTU1VWFiYLrjgAj3yyCPq0NMhGLSajIwMExISYl544QWzZ88ec88995iIiAizf//+tq4aGmnixInmxRdfNLt27TK5ublm0qRJJjEx0Zw4ccIVs2zZMhMZGWneeOMNs3PnTjNt2jRz/vnnm5KSElfMzJkzzQUXXGAyMzPNjh07zJgxY8zgwYPNmTNnXDFXX321SU5ONps3bzabN282ycnJZvLkya7tZ86cMcnJyWbMmDFmx44dJjMz0zgcDjNnzpzWeTLg17Zt20zv3r3NoEGDzD333OMqp20ErmPHjplevXqZ2267zXz88ccmLy/PvPfee+brr792xdA+AtOjjz5qunfvbv72t7+ZvLw88/rrr5vzzjvPPPXUU64Y2kbgeOedd8zixYvNG2+8YSSZdevWuW1vT23B6XSa+Ph4c+ONN5qdO3eaN954w0RGRprf/OY3LfcEtTASpVZ02WWXmZkzZ7qV9e/f3yxcuLCNaoTmVlRUZCSZrKwsY4wx1dXVxm63m2XLlrliTp8+bWw2m3n22WeNMcYcP37chISEmIyMDFfMt99+a7p06WLWr19vjDFmz549RpLZunWrK2bLli1Gktm7d68x5uyHaZcuXcy3337rinnttdeM1Wo1Tqez5Q4atSotLTV9+/Y1mZmZJjU11ZUo0TYC24IFC8yoUaP8bqd9BK5JkyaZ22+/3a3s+uuvN7fccosxhrYRyDwTpfbWFlatWmVsNps5ffq0KyY9Pd04HA5TXV3djM9E62HoXSupqKjQ9u3bNWHCBLfyCRMmaPPmzW1UKzQ3p9MpSYqJiZEk5eXlqbCw0O11t1qtSk1Ndb3u27dvV2VlpVuMw+FQcnKyK2bLli2y2WwaPny4K+byyy+XzWZzi0lOTpbD4XDFTJw4UeXl5W7DedC6Zs+erUmTJmncuHFu5bSNwPbWW29p2LBh+slPfqK4uDgNGTJEL7zwgms77SNwjRo1Su+//76+/PJLSdKnn36qTZs26Yc//KEk2gb+o721hS1btig1NdVtTaaJEyfq4MGD2rdvX/M/Aa0guK0rECiOHj2qqqoqxcfHu5XHx8ersLCwjWqF5mSM0bx58zRq1CglJydLkuu19fW679+/3xUTGhqq6Ohor5ia+xcWFiouLs7rMePi4txiPB8nOjpaoaGhtLE2kpGRoR07dig7O9trG20jsH3zzTd65plnNG/ePD3wwAPatm2b7r77blmtVv30pz+lfQSwBQsWyOl0qn///goKClJVVZUee+wx3XTTTZL47MB/tLe2UFhYqN69e3s9Ts22pKSkxhxmmyJRamUWi8Xtf2OMVxk6pjlz5uizzz7Tpk2bvLY15nX3jPEV35gYtI6CggLdc8892rBhg7p27eo3jrYRmKqrqzVs2DAtXbpUkjRkyBDt3r1bzzzzjH7605+64mgfgWfNmjV6+eWX9eqrr+riiy9Wbm6u0tLS5HA4dOutt7riaBuo0Z7agq+6+LtvR8DQu1YSGxuroKAgr19gioqKvDJ0dDxz587VW2+9pY0bN6pnz56ucrvdLkm1vu52u10VFRUqLi6uNebw4cNej3vkyBG3GM/HKS4uVmVlJW2sDWzfvl1FRUVKSUlRcHCwgoODlZWVpd///vcKDg52+5XtXLSNwHD++efroosucisbMGCA8vPzJfHZEcjuu+8+LVy4UDfeeKMGDhyoGTNm6Fe/+pXS09Ml0TbwH+2tLfiKKSoqkuTd69VRkCi1ktDQUKWkpCgzM9OtPDMzUyNHjmyjWqGpjDGaM2eO1q5dqw8++MCrWzkpKUl2u93tda+oqFBWVpbrdU9JSVFISIhbzKFDh7Rr1y5XzIgRI+R0OrVt2zZXzMcffyyn0+kWs2vXLh06dMgVs2HDBlmtVqWkpDT/waNWY8eO1c6dO5Wbm+u6DRs2TDfffLNyc3PVp08f2kYAu+KKK7yWEvjyyy/Vq1cvSXx2BLJTp06pSxf307OgoCDX9OC0DdRob21hxIgR+uijj9ymDN+wYYMcDofXkLwOo/XmjUDN9OB//OMfzZ49e0xaWpqJiIgw+/bta+uqoZHuuusuY7PZzIcffmgOHTrkup06dcoVs2zZMmOz2czatWvNzp07zU033eRz6s6ePXua9957z+zYscP84Ac/8Dl156BBg8yWLVvMli1bzMCBA31O3Tl27FizY8cO895775mePXsyjWs7cu6sd8bQNgLZtm3bTHBwsHnsscfMV199ZV555RUTHh5uXn75ZVcM7SMw3XrrreaCCy5wTQ++du1aExsba+6//35XDG0jcJSWlpqcnByTk5NjJJkVK1aYnJwc19Iy7aktHD9+3MTHx5ubbrrJ7Ny506xdu9ZERUUxPTjq7+mnnza9evUyoaGhZujQoa5ppNExSfJ5e/HFF10x1dXV5qGHHjJ2u91YrVZz1VVXmZ07d7rtp6yszMyZM8fExMSYsLAwM3nyZJOfn+8W891335mbb77ZREZGmsjISHPzzTeb4uJit5j9+/ebSZMmmbCwMBMTE2PmzJnjNk0n2pZnokTbCGx//etfTXJysrFaraZ///7m+eefd9tO+whMJSUl5p577jGJiYmma9eupk+fPmbx4sWmvLzcFUPbCBwbN270eZ5x6623GmPaX1v47LPPzJVXXmmsVqux2+1myZIlHXZqcGOMsRjTkZfLBQCg+ZWVlSksLMyrvLKyUhaLRcHBzIUEAJ0d1ygBADqkvXv36qabblJ8fLysVqsSExP105/+VOXl5VqyZInPWZZWr14ti8XitqZH7969NXnyZK1du1ZDhgxR165d9fDDD+vDDz+UxWLRSy+9pPnz5+uCCy6Q1WrV119/3YpHCQBoK/wkBgDocD799FONGjVKsbGxeuSRR9S3b18dOnRIb731ltuFxPW1Y8cOff7553rwwQeVlJSkiIgInTx5UpK0aNEijRgxQs8++6y6dOnic70RAEDnQ6IEAOhw5s2bp+DgYG3btk09evRwld98882N2l9RUZH27Nmj73//+66yDz/8UJJ04YUX6vXXX29SfQEAHQ9D7wAAHcqpU6eUlZWlG264wS1JaopBgwa5JUnn+vGPf9wsjwEA6FhIlAAAHUpxcbGqqqrcFnduqvPPP79R2wAAnReJEgCgQ4mJiVFQUJAOHDjgN6Zr166SpPLycrfyo0eP+oz3NfFDfbYBADovEiUAQIcSFham1NRUvf76634Tn5pV4D/77DO38r/+9a8tXT0AQCdBogQA6HBWrFihyspKDR8+XC+88II2btyojIwMTZ8+XaWlpfrhD3+omJgY3XHHHXrzzTf1t7/9Tf/1X/+lgoKCtq46AKCDIFECAHQ4gwcP1rZt25SSkqJFixbp6quv1oIFC2S1WhUaGqqoqCitX79ekZGRuuWWWzRz5kwlJydr8eLFbV11AEAHYTHGmLauBAAAAAC0J/QoAQAAAIAHEiUAAAAA8ECiBAAAAAAeSJQAAAAAwEOLJkpLliyRxWJxu9ntdtd2Y4yWLFkih8OhsLAwjR49Wrt373bbR3l5uebOnavY2FhFRERo6tSptS4yCAAAAABN1eI9ShdffLEOHTrkuu3cudO1bfny5VqxYoVWrlyp7Oxs2e12jR8/XqWlpa6YtLQ0rVu3ThkZGdq0aZNOnDihyZMnq6qqqqWrDgAAACBAtej04EuWLNGbb76p3Nxcr23GGDkcDqWlpWnBggWSzvYexcfH6/HHH9edd94pp9OpHj166KWXXtK0adMkSQcPHlRCQoLeeecdTZw4saWqDgAAACCABbf0A3z11VdyOByyWq0aPny4li5dqj59+igvL0+FhYWaMGGCK9ZqtSo1NVWbN2/WnXfeqe3bt6uystItxuFwKDk5WZs3b/abKJWXl6u8vNz1f3V1tY4dO6bu3bvLYrG03MECAAAAaNeMMSotLZXD4VCXLv4H2LVoojR8+HD97//+r77//e/r8OHDevTRRzVy5Ejt3r1bhYWFkqT4+Hi3+8THx2v//v2SpMLCQoWGhio6Otorpub+vqSnp+vhhx9u5qMBAAAA0FkUFBSoZ8+efre3aKJ0zTXXuP4eOHCgRowYoQsvvFB/+tOfdPnll0uSVw+PMabOXp+6YhYtWqR58+a5/nc6nUpMTFRBQYGioqIacygAAAAAOoGSkhIlJCQoMjKy1rgWH3p3roiICA0cOFBfffWVrr32Wklne43OP/98V0xRUZGrl8lut6uiokLFxcVuvUpFRUUaOXKk38exWq2yWq1e5VFRUSRKAAAAAOrsnGnVdZTKy8v1+eef6/zzz1dSUpLsdrsyMzNd2ysqKpSVleVKglJSUhQSEuIWc+jQIe3atavWRAkAAAAAmqJFe5TuvfdeTZkyRYmJiSoqKtKjjz6qkpIS3XrrrbJYLEpLS9PSpUvVt29f9e3bV0uXLlV4eLimT58uSbLZbLrjjjs0f/58de/eXTExMbr33ns1cOBAjRs3riWrDgAAACCAtWiidODAAd100006evSoevToocsvv1xbt25Vr169JEn333+/ysrKNGvWLBUXF2v48OHasGGD23jBJ598UsHBwbrhhhtUVlamsWPHavXq1QoKCmrJqgMAAAAIYC26jlJ7UVJSIpvNJqfTyTVKaFeuX/VPfVVUqr5xkVo764q2rg4AAECnV9/coFWvUQLwH70Xvq0d+cdVerpKO/KPq/fCt9u6SgAAAPg3EiWgDVy/6p8NKgcAAEDrIlEC2sBXRaUNKgcAAEDrIlEC2kDfON8LnPkrBwAAQOsiUQLagL+JG5jQAQAAoH0gUQLayL5lkzQ0sZsiuwZpaGI37Vs2qa2rBAAAgH9r0XWUANSOHiQAAID2iR4lAAAAAPBAogQAAAAAHkiUAAAAAMADiRIAAAAAeCBRAgAAAAAPJEoAAAAA4IFECQAAAAA8kCgBAAAAgAcSJQAAAADwQKIEAAAAAB5IlAAAAADAQ6slSunp6bJYLEpLS3OVGWO0ZMkSORwOhYWFafTo0dq9e7fb/crLyzV37lzFxsYqIiJCU6dO1YEDB1qr2gAAAAACUKskStnZ2Xr++ec1aNAgt/Lly5drxYoVWrlypbKzs2W32zV+/HiVlpa6YtLS0rRu3TplZGRo06ZNOnHihCZPnqyqqqrWqDoAAACAANTiidKJEyd0880364UXXlB0dLSr3Bijp556SosXL9b111+v5ORk/elPf9KpU6f06quvSpKcTqf++Mc/6re//a3GjRunIUOG6OWXX9bOnTv13nvvtXTVAQAAAASoFk+UZs+erUmTJmncuHFu5Xl5eSosLNSECRNcZVarVampqdq8ebMkafv27aqsrHSLcTgcSk5OdsX4Ul5erpKSErcbAAAAANRXcEvuPCMjQzt27FB2drbXtsLCQklSfHy8W3l8fLz279/vigkNDXXriaqJqbm/L+np6Xr44YebWn0AAAAAAarFepQKCgp0zz336OWXX1bXrl39xlksFrf/jTFeZZ7qilm0aJGcTqfrVlBQ0LDKAwAAAAhoLZYobd++XUVFRUpJSVFwcLCCg4OVlZWl3//+9woODnb1JHn2DBUVFbm22e12VVRUqLi42G+ML1arVVFRUW43AAAAAKivFkuUxo4dq507dyo3N9d1GzZsmG6++Wbl5uaqT58+stvtyszMdN2noqJCWVlZGjlypCQpJSVFISEhbjGHDh3Srl27XDEAAAAA0Nxa7BqlyMhIJScnu5VFRESoe/furvK0tDQtXbpUffv2Vd++fbV06VKFh4dr+vTpkiSbzaY77rhD8+fPV/fu3RUTE6N7771XAwcO9JocAgAAAACaS4tO5lCX+++/X2VlZZo1a5aKi4s1fPhwbdiwQZGRka6YJ598UsHBwbrhhhtUVlamsWPHavXq1QoKCmrDmgMAAADozCzGGNPWlWhpJSUlstlscjqdXK8EAAAABLD65gYtvo4SAAAAAHQ0JEoAAAAA4IFECQAAAAA8kCgBAAAAgAcSJQAAAADwQKIEAAAAAB5IlAAAAADAA4kSAAAAAHggUQIAAAAADyRKAAAAAOCBRAkAAAAAPJAoAQAAAIAHEiUAAAAA8ECiBAAAAAAeSJQAAAAAwAOJEgAAAAB4IFECAAAAAA8tmig988wzGjRokKKiohQVFaURI0bo3XffdW03xmjJkiVyOBwKCwvT6NGjtXv3brd9lJeXa+7cuYqNjVVERISmTp2qAwcOtGS1AQAAAAS4Fk2UevbsqWXLlumTTz7RJ598oh/84Af60Y9+5EqGli9frhUrVmjlypXKzs6W3W7X+PHjVVpa6tpHWlqa1q1bp4yMDG3atEknTpzQ5MmTVVVV1ZJVBwAAABDALMYY05oPGBMToyeeeEK33367HA6H0tLStGDBAklne4/i4+P1+OOP684775TT6VSPHj300ksvadq0aZKkgwcPKiEhQe+8844mTpxYr8csKSmRzWaT0+lUVFRUix0bAAAAgPatvrlBq12jVFVVpYyMDJ08eVIjRoxQXl6eCgsLNWHCBFeM1WpVamqqNm/eLEnavn27Kisr3WIcDoeSk5NdMQAAAADQ3IJb+gF27typESNG6PTp0zrvvPO0bt06XXTRRa5EJz4+3i0+Pj5e+/fvlyQVFhYqNDRU0dHRXjGFhYV+H7O8vFzl5eWu/0tKSprrcAAAAAAEgBbvUerXr59yc3O1detW3XXXXbr11lu1Z88e13aLxeIWb4zxKvNUV0x6erpsNpvrlpCQ0LSDAAAAABBQWjxRCg0N1fe+9z0NGzZM6enpGjx4sH73u9/JbrdLklfPUFFRkauXyW63q6KiQsXFxX5jfFm0aJGcTqfrVlBQ0MxHBQAAAKAza/V1lIwxKi8vV1JSkux2uzIzM13bKioqlJWVpZEjR0qSUlJSFBIS4hZz6NAh7dq1yxXji9VqdU1JXnMDAAAAgPpq0WuUHnjgAV1zzTVKSEhQaWmpMjIy9OGHH2r9+vWyWCxKS0vT0qVL1bdvX/Xt21dLly5VeHi4pk+fLkmy2Wy64447NH/+fHXv3l0xMTG69957NXDgQI0bN64lqw4AAAAggLVoonT48GHNmDFDhw4dks1m06BBg7R+/XqNHz9eknT//ferrKxMs2bNUnFxsYYPH64NGzYoMjLStY8nn3xSwcHBuuGGG1RWVqaxY8dq9erVCgoKasmqAwAAAAhgrb6OUltgHSUAAAAAUjtcRwkAAAAAOgoSJQAAAADwQKIEAAAAAB5IlAAAAADAA4kSAAAAAHggUQIAAAAADyRKAAAAAOCBRAkAAAAAPJAoAQAAAIAHEiUAAAAA8ECiBAAAAAAeSJQAAAAAwAOJEgAAAAB4IFECAAAAAA8kSgAAAADggUQJAAAAADyQKAEAAACABxIlAAAAAPDQoolSenq6Lr30UkVGRiouLk7XXnutvvjiC7cYY4yWLFkih8OhsLAwjR49Wrt373aLKS8v19y5cxUbG6uIiAhNnTpVBw4caMmqAwAAAAhgLZooZWVlafbs2dq6dasyMzN15swZTZgwQSdPnnTFLF++XCtWrNDKlSuVnZ0tu92u8ePHq7S01BWTlpamdevWKSMjQ5s2bdKJEyc0efJkVVVVtWT1AQAAAAQoizHGtNaDHTlyRHFxccrKytJVV10lY4wcDofS0tK0YMECSWd7j+Lj4/X444/rzjvvlNPpVI8ePfTSSy9p2rRpkqSDBw8qISFB77zzjiZOnFjn45aUlMhms8npdCoqKqpFjxEAAABA+1Xf3KBVr1FyOp2SpJiYGElSXl6eCgsLNWHCBFeM1WpVamqqNm/eLEnavn27Kisr3WIcDoeSk5NdMZ7Ky8tVUlLidgMAAACA+mq1RMkYo3nz5mnUqFFKTk6WJBUWFkqS4uPj3WLj4+Nd2woLCxUaGqro6Gi/MZ7S09Nls9lct4SEhOY+HAAAAACdWKslSnPmzNFnn32m1157zWubxWJx+98Y41XmqbaYRYsWyel0um4FBQWNrzgAAACAgNMqidLcuXP11ltvaePGjerZs6er3G63S5JXz1BRUZGrl8lut6uiokLFxcV+YzxZrVZFRUW53QAAAACgvlo0UTLGaM6cOVq7dq0++OADJSUluW1PSkqS3W5XZmamq6yiokJZWVkaOXKkJCklJUUhISFuMYcOHdKuXbtcMQAAAADQnIJbcuezZ8/Wq6++qr/85S+KjIx09RzZbDaFhYXJYrEoLS1NS5cuVd++fdW3b18tXbpU4eHhmj59uiv2jjvu0Pz589W9e3fFxMTo3nvv1cCBAzVu3LiWrD4AAACAANWiidIzzzwjSRo9erRb+YsvvqjbbrtNknT//ferrKxMs2bNUnFxsYYPH64NGzYoMjLSFf/kk08qODhYN9xwg8rKyjR27FitXr1aQUFBLVl9AAAAAAGqVddRaiusowQAAABAaqfrKAEAAABAR0CiBAAAAAAeSJQAAAAAwAOJEgAAAAB4IFECAAAAAA8kSgAAAADggUQJAAAAADyQKAEAAACABxIlAAAAAPBAogQAAAAAHkiUAAAAAMADiRIAAAAAeCBRAgAAAAAPJEoAAAAA4IFECQAAAAA8kCgBAAAAgAcSJQAAAADwQKIEAAAAAB5aNFH66KOPNGXKFDkcDlksFr355ptu240xWrJkiRwOh8LCwjR69Gjt3r3bLaa8vFxz585VbGysIiIiNHXqVB04cKAlqw0AAAAgwLVoonTy5EkNHjxYK1eu9Ll9+fLlWrFihVauXKns7GzZ7XaNHz9epaWlrpi0tDStW7dOGRkZ2rRpk06cOKHJkyerqqqqJasOAAAAIIBZjDGmVR7IYtG6det07bXXSjrbm+RwOJSWlqYFCxZIOtt7FB8fr8cff1x33nmnnE6nevTooZdeeknTpk2TJB08eFAJCQl65513NHHixHo9dklJiWw2m5xOp6Kiolrk+AAAAAC0f/XNDdrsGqW8vDwVFhZqwoQJrjKr1arU1FRt3rxZkrR9+3ZVVla6xTgcDiUnJ7tifCkvL1dJSYnbDQAAAADqq80SpcLCQklSfHy8W3l8fLxrW2FhoUJDQxUdHe03xpf09HTZbDbXLSEhoZlrDwAAAKAza/NZ7ywWi9v/xhivMk91xSxatEhOp9N1KygoaJa6AgAAAAgMbZYo2e12SfLqGSoqKnL1MtntdlVUVKi4uNhvjC9Wq1VRUVFuNwAAAACorzZLlJKSkmS325WZmekqq6ioUFZWlkaOHClJSklJUUhIiFvMoUOHtGvXLlcMWs6a7Hw9sPYzrcnOb+uqAAHpib/v1U3Pb9ETf9/b1lUBEAB+9uI2XfZYpn724ra2rgqaICe/WGt3HFBOfnHdwahVcEvu/MSJE/r6669d/+fl5Sk3N1cxMTFKTExUWlqali5dqr59+6pv375aunSpwsPDNX36dEmSzWbTHXfcofnz56t79+6KiYnRvffeq4EDB2rcuHEtWfWAd+3Tm5Rb4JQkvbqtQK9ty9ebs0c1eb99Fr6tap3N0L9ZNqnJ++uoeB78e+Lve7Vjf7GG9orWfRP7t3V12sylj2XqSGmFJGnLN8f09MZ/aR9tRf0Wv6PyKiNrkEVfPPbDtq4O0GlcuOhtVf17HuSiL47owkVv61/pHeszZ+gjG1R8qlLR4SHa8esJdd+hE1r27ud6Nusb1/8zU/to4TUD2rBGHVuLTg/+4YcfasyYMV7lt956q1avXi1jjB5++GE999xzKi4u1vDhw/X0008rOTnZFXv69Gndd999evXVV1VWVqaxY8dq1apVDZqggenBG2ZNdr4WvLHTq/zxHw/UtEsTG73f3gvf9ioLxBM/ngf/zk0OJKlHZKiyF49vwxq1jSf+vldPb/yXz22B3FZ476A+an6IkqTEmDB9dP8P2rQ+HcHPXtymjV8c8Sof06+HXvzZZW1QI/9y8ouVd/SkkmIjNCTx7GRffR94W5XV3rGB9vmQk1+s61Z5zwq9btZI13OFs+qbG7TaOkptiUSpYXydjNRo7IfOuV9c5wq0HhWeB//8JQezx1zYqXqWfH3Je+r/4Ds6fcb3R3NMgP5SWtOT5ImeJZzL3/dXoJ0wN5S/5y0uMlTb2tGPVb56S87931OgfV62xPlbZ9Xu11FCYPGVHNRW3lnxPPjnrwfFX3lHtOzdz3Xdqs2a9+dPdd2qzVr27uc+4yp9JAQ1jp2qbKnqtWu+kqTayhF4+tRyknjV8g9asSYdy9BHNvjddrHD1oo1qV1OfrFXUlRbkiQF7uclmg+JEtBOTHwyq62rgBbk70ve18W234s7r7WqBXQatf3glH+srNXq0dHUlky0p2F3T3/wVaPux8QUaAoSJaCd2H/sZFtXocX0Xvi26xaofI0b91f+91+ltnR1gE6nthOa2ldnREdQWHK6UffbfdDZzDVBICFRQquIsgY1qLyzevzHA/1u6xUT0Yo1aR0/e3GbV3LkL1ny92EUqB9SQxO7Nai8s4vq6nuSVn/lCDy1Xec5ul+PVqxJx9Iv3ncPtr/ytpLaL65R92tPwwdbWkd5LTuSQD0HQS1G9IlpUHl9fPbw1Q0q76ymXZqoSxJ8f2h3tl6ECxe97XMWJcl3stTZr99qaCK4dtYVDSrv7P50u+8hQP7KEZhmpvbxKguytK8hZO2Nv++e9vaddN/E/uoRGdrg+wXSa99RXsuOhEQJXob28j0Tl7/y+tq3bJKrBynKGhSwM7C8OXuUHv/xQEVZgxTS5ewvPZ3tufjZi9tU1zX2tV1A3Bn5+7W7tl/B9y2bpKGJ3RTZNUhDE7t1unbSEEMSo71Ogu9K7cOUt3DxdR2gJP3fXSxQX5d9yyapX/x56hpiadffSdmLx2v2mAs1ok+MZo+5sM746PCQVqhV+9JRXsuOgjEL8HLfxP768ycFbuvZxEWGNssUzYHWg+TPtEsTm7QmVXtXnzHhxR4XEEd1DVbJ6TNecZ1paNW+ZZOUtPBtGZ29ZiKvHl9ggdqD5MvCawZo4sX2OqdXR2DKO+r7Os+8oydpK/XQUXodxg2I14U9zlNSbESds6JektCtdSrVznSU17Ij6DxnIGhW2YvH64m/79WO/cUa2iu6U61jg5Z3scOmIj/D7mqEhbpfn/an2y/zObFBZxpatezdz1XT0Wb+/T8rpjfMkMRoTnrhU1Ks7+s8/ZWj4/FcR8kiyd/gBYZcojkw9A5+3Texv1775QiSJDTYiz+7TEF1TDP1ys+Hu/3f2YdWNWR6cAAN19k/Q1pDTn6x1u440C4/l3x9htaWJP0rnSFnaDp6lAC0iH+lT9LPXtymj7484nW9Un1PXjrTUqIMCwJaHsMzG8+zt2Zmap921ePt7zPUl5QmXlMN1CBRAtBizh32kJNfXOvJi78el4kX2zvFyQ7DgoDWwfDMhusIn78N+ay0sHAWmglD7+BXe+6CR8czJDFa1w/t6fdLt7Yel86AYUEA2quO8Pnr6zM0Mbqrz9jjHpMFAY1FjxJ8au9d8Oh8AqHHhWFBANqjf3zle/Kd9vb56/kZunz9XuUXn/aK++LwCV379Ca9OXtUG9QSnQk9SvDCRedoC4HS41JXzxr8o5cbaH45+cVal3PQq7xvXPv8Mefcz9DyM/6XJM8tcGpNdn4r1gydET1K8MJF52grgdDjkpNf7DYNel2LAdZ1bVegoJcbDcH7pv78fed/VXRSOfnF7fr5swbX/nv/pwXHO/WahWh5JErwEghDoNB+deYLsT1P9iWp98K3/SZLJAdndYQLzdF+8L5pmNq+29v7D6RDe0VryzfH/G4fHKALzqL5MPQOXgJlCBRa15rsfD2w9rNah0L0Xvi26/bE3/e2Yu1anq+T/Rq9F75dr/hAHQLbES40R/vA+6bhhiRG67ohDp/b2vsPpPdN7K8ekaE+tw1JsNGbhCbrMD1Kq1at0hNPPKFDhw7p4osv1lNPPaUrr7yyrasVMDrTejZoPTn5xfrwiyJlbCvQ4dJySdKr2wr02rZ8r4tsPZOFpzf+S3/+pEDZi8e3Wn1bUkNP6hkC+x+VVb6vQ/BXjsDF+6Zxnpw2RJLcrlVq7R9I6ztc8ty4l7ful61riGLCQxUTEaquIUE639ZVgxO6kSShWViMMe3+HHjNmjWaMWOGVq1apSuuuELPPfec/ud//kd79uxRYmLdb4SSkhLZbDY5nU5FRUW1Qo39y8kv1tMffKUt33ynkxX/+ZLvIqlHlFXV1UbnWYP1w0Hn68Ie5+mfXx/VweNlKj9TrfzvTqrKSJckdNOUwQ5VVlXr4PEySdK6nG+Vf+zs3726h2vyoPOVnXdMu7516kx1tc6zhmhY72hVVhn98+sjqqySLJIacpoRZJGCu1h0nvVsfn2i/Iy6dLEopItFJeVVks7us6792roG68K487TzwHFV/juw+3mhqqyscu1HkkK6SF0sFp0xRmEhQUqICZdFUvHJClVWVauiqlpdLBZVVxvXBZ1RYSEK7mLR0RPlrn276t9FijvPqosdZ9tAyekzKj1dqYPHy1RtpAuiwxVpDdK3x8v03ckKnakyCgsN0gXdwnS45LSCg7qoutroRHmlgrt0UZ8eEQoNDpI1uIvKz1Sr0Fmmyiqj3rERGnlhd43uFydJ+vCLIm3++qi+/ffraA3uoguiw3Xg2CkdO1WpIItUfqbaa1FWSVo3a6SWvr1HnxeWyvz7NaisMoqwBisxJlwV/24X5VVGdltXzRp9oZ7Z+LUOlZTLGmRRYvdwHTlRoeOnKlRtzrazyiqj6n+/TnFRVnWRVFRarmrzn4S4i6TzrEGqqKpWZbWRqZaCgyyy27qqvz1SXxaW6nBpuSrOVMuY/7zeXSySMc2bWEeFBeuai+2KjbRq494ina6s0smKKh0uKW/GR+k4BpwfqYToMI0dEK9plyaqz8K3G/Q+bgnhIV205/9d41U+fOl79X6dLu3VTWWVVUrtF6f7JvZ327Z2xwHN+/OnzVLX9sQiaUhiN52urNLpyipdM/B817F7njSuyc7Xgjd2ut3X830WH2XVgqv7619HTuirw6UqOHZK5Weq1afHeZo95ntu18a1pi46u67NuZ9x4SFddOrfH9JR1iB99vDVSlr4dq2fHV109nP8THXDP2OCLGc/n6qNfH7Whod0UVlldYv9KFjz3RgSZNGZauOzDq0lqIskc/azWpIsXaTafnOo+T6IjbS62lJzJ1C+hiWfKyI0SC//fLj+vruw1jiLpNAgi6qN8ToHaO+irEHq0sWiymqjrsFdZA3uIlt4qBKiw9Q3PlIX9jhPSbER+v37Xym3oFjlldWyhgTpkoRuujrZrvc/P6zikxWyWCyK6hosZ1mlvjtZoe7nWSVj9OXhUpWernJ9X4QGWRQSZJExZ390qjZn3yPdwkPVOzZCJ05Xat93pyRJvbpHyCKjQ87Tqq42On2mSmeqzrbn87oG62T5GZWfMepikc6zBismIlSnK6tksUi28FAdP1mhssoq2cJC1c9+nuv7qy3VNzfoEInS8OHDNXToUD3zzDOusgEDBujaa69Venp6nfdvL4lSXR8EAAAAQGd3SYKtTadvr29u0O6vUaqoqND27ds1YcIEt/IJEyZo8+a2+XWsMWq7PgEAAAAIFB1l+vZ2nygdPXpUVVVVio+PdyuPj49XYWGhz/uUl5erpKTE7dbW2mrIAwAAANDenDucuL1q94lSDYvF4va/McarrEZ6erpsNpvrlpCQ0BpVBAAAANBJtPtEKTY2VkFBQV69R0VFRV69TDUWLVokp9PpuhUUFLRGVQEAAAB0Eu0+UQoNDVVKSooyMzPdyjMzMzVy5Eif97FarYqKinK7tTV/C0oCAAAAgWb6Ze1/xFeHWEdp3rx5mjFjhoYNG6YRI0bo+eefV35+vmbOnNnWVWsQX9O5AgAAAIFmcEK3tq5CnTpEojRt2jR99913euSRR3To0CElJyfrnXfeUa9evdq6ag2St2yS16KaANAZePaaX7jo7UavFeO5r0D93PQ1EuHapzcpt8DZBrUB/qOlR8kE6ns+kAxJsLX5Wkr10SHWUWqq9rKOUo26FtVrLZ49XDVTY7SHugUyi7yT6vr2RtaMpe1g6+xJqt9ixc39eFLztfeO9v7pouZ5rmvaqy8/e3GbNn5xxC1W8v8c1bYvf5+bHe15P9e5dff829/zIMlr8dn6PlbNPtvLd9C5/C342tTXtyO3j9bSkNEudbXN5uTZTjvKqJz6trmWPJ6G7rsl3yf/Xt/Yte/plyVocEK3Nk+SOtWCs03V3hKljsBzVXg0H8+Fh+9K7aMF1wxowxq1jNp+EVw3a2RAtivPXpYgi/SvdO+TDn8nwo//eGCbf7mg4/D8rLluiENX9u3B5zr8yskv1odfFEmSRveLa3ftJFC+P9Hy6psbdIihd2h9NR+OeUdPuv2Pplt4zQBNvNje6RPRSxJsfocIddZjrs3PXtzmNRStypwtf/Fnl7mVf1pw3Oc+Pi04TqKEevG1yPm6nINal3NQkjQztY8WcoIJD0MSo9vd5/PPXtym3Qeduthh00dfHnHb9vxH35AooUWRKMEnz19tmutLlZ6qs9rjl1FzWpOdX+t1FBcuettnT0pndu4QtLrKByd006vbvJc16AgXvqJ9qPmRy59ns77RxIvtnfpzCB3fub3wRT4+Kz1/bOqz8G1V6+xwr2+YbRjNoN1PD47W5+uXyGezvlFOfnGT9rvs3c913arNmvfnT3Xdqs1a9u7nTdof2q//3byv1u2Nvcg/UEy7NFGXJNjcyjrKha9oH/759dE6Y+pKpoC25KsX3peNXxxR74Vvq/e/kyTp7PWXTAiB5kCiBC9pGTk+y5/+4KtG77Olki+0T4dLTjfqfjn5xVq74wDtQtKbs0dp9pgLNaJPjGaPuVDrZo9q6yqhAzl4vKzOmKTYiFaoCdA4uw82fXbHPiRLaCKG3sFNTn6x9h/z/QX73l7fQ4fqw1+S9fQHX+l/brvM57bObP6fc/VpwXENTuim395wSVtXp9nF27rq6MnKBt2npYZ7dlTnPh9bvjmmqmoT0M8HGmZor2ht+eaY3+13pfZh2B3ctLeh8dHhoSoqrWjSPjriDLBoX+hRgpuWGoqx51BJg8o7swH//a7e2PGtvj5yUm/s+FYD/vvdtq5Ss/vpiN4Nig+EHsfZYy6sd3kgPB9oWfdN7K8ekaFuZdHhwVpxw2CtmzWSC+Dhpj0OjU/p1fbJGkCiBDctNRQjOjy0QeWd1fw/56qs0v03rrLKas3/c27bVKiF+LrG5lw/HnqB2/8Z2/J9xvkr74h8nbjGRYbqvon9vWL9/WDBNSVoiOzF492Gb+b8eqKuH9qzXfQWoP1orz/MMHkN2gOG3sHNkMRoWYMsKvdxBWVMeEij9xsX1VW7D5X6LA8ktU37HEiswe6/0RSf8j28wl95R5W9eLye+Pte7dhfrKG9on0mSZJUWeV7wIi/csAff22sM2tvQ8jau9p+mGnL52/apYl6bZv7DKpDEmy68bJEfVpw3OfMoJ7oDUBTkSjBiy08xOe44OAgi4/o+jldWdWg8s5qcEI3fX3E+0ups/1yVtf04NER7j0rYwfEa8OeIq+4sQPim71uba0+J64hQb6/3v2VAziLax0bzt9IkvYw2cebs0dpTXa+65rempk/p12aqMEJ3XwuzH2u0ODGn7cAEsk2fLjY4XvIlL/y+vCXEA0NsDHIt1zeq0HlHVVdPWQX9jjP7f/vx0f6jPNX3tm15xMXoL1qr0PI2rshidGamdrHraw9TfYx7dJELb1+kNfyCNMuTVR8ZO3D9yurWYsCTUOiBC8v/uwyeXYeBVnkWtCtoXLyi5Xjo3ehiwJvWEigXHtSVw+Z5wn/h1949ybVVt7ZfXnYe5hqbeUAAufztSUsvGaA1s0a2eEm+7jxstrXlosOa/wlA4BEogQ//pU+SWP69VBcZKjG9Ouhf6U3foVrf19S1To7RCuQBEpPQW2TObSnXyrbK65lAxqOa/uaZkhidIeb7GN0v7hat6fWsb2zYk3C5sM1SvCrsT1InmpLAt7//LBXd3pnVjPE4dzhIZ01cTh3bHl0RKgu7HGe34urR/eL0+/e/9pneSAanNDN54XKne1aNqA5cW1f4PH1nXouz4mDAgHX6TUvEiW0uCGJ0YrsGqTS097XKX1x+EQb1KhtLbxmgJJiI7wuTu2Mpl2aWK/jC6QEsj6mXZqo32z4QkfOmVQlLjK0U7eV+sjJL3YNxxzdLy5g2wd8C5Qee7hbeM0ABXWx6OmN//LaFmg/Lvm7Tm/ixXY+LxuJRAmtIsjie+YZZyeb/rk+zv2159VtBco7epJfe3T2y27ixXam9dXZL7sjHjNPFpVWKCe/OGCfF89fSX/3/tf8Ugo3vn5wuX6II2DfM4Hkvon99c+vj3pNJR5oPy6116neOzISJbQKf4mSv/LOil97ajckMZrnQXzZefL1vpF478DbwmsG6H+37NOpirPXJa3NOai4qK4k1PVw/ap/6quiUvWNi9TaWVe0dXXqrWbdrIemXKwvD5cGxGgNf+hVbX4kSmgVp8/4nh78e/Hn+SzvrDgBRn3wZeeutlnLeO/gXL0Xvu1VRkJdt3Oftx35x9V74dvat6zxkzi1Fl/X4yy9flAb1gidTYte5fbYY49p5MiRCg8PV7du3XzG5Ofna8qUKYqIiFBsbKzuvvtuVVS4DznZuXOnUlNTFRYWpgsuuECPPPKIjGFu/I5iTXa+Tlb4nnXokPN0K9embXECXDtm6jnL3wldoJ7o1fb+4L2DGlct/8Dvtqc3ek8Wg7OuX/VPn+WXPfZeK9ekYVg3y5u/dk77b7wWTZQqKir0k5/8RHfddZfP7VVVVZo0aZJOnjypTZs2KSMjQ2+88Ybmz5/viikpKdH48ePlcDiUnZ2tP/zhD/rNb36jFStWtGTV0Yxqm9I4/1hZ61WkHWB9HP+Wvfu5rlu1WfP+/KmuW7VZy979vK2r1Gb8nbj4K+/shiRGKyG6q89tv3//q1auDdqr2r5PvjkSeBMH1deO/OM+y4tKy9t10sG6Wd4K/fz47K8cdWvRROnhhx/Wr371Kw0cONDn9g0bNmjPnj16+eWXNWTIEI0bN06//e1v9cILL6ikpESS9Morr+j06dNavXq1kpOTdf311+uBBx7QihUr6FXqIAJt1pnaLHhjZ4PKAwW/DLrzd+LirzwQFBT7/qLf+MWRVq4JOqI+9Dw2SntOOlg3y1tqvx4NKkfd2nSC+S1btig5OVkOh8NVNnHiRJWXl2v79u2umNTUVFmtVreYgwcPat++fa1d5YDRnEOgarugsmsArnEAb/wyCKCpYsJD/G6b/YO+rViTjiUxJszvtvY8tJV1s7zdN7G/ekSGupXFRYbqvon926hGHV+btqbCwkLFx8e7lUVHRys0NFSFhYV+Y2r+r4nxVF5erpKSErcb6q8lhkCtmzXSZ/lrv7y8yftGx8cvg+78zQUZWHNEurMG+T56f+UIPDt+PcFneSCvyVYfH93/A7/b2vOwcK759S178Xj9eOgF+l6PCP146AXatnh8W1epQ2tworRkyRJZLJZab5988km992fxMT20Mcat3DOmZsidr/tKUnp6umw2m+uWkJBQ7/oEupYaAuXvOoJAu77AXwdaoHes8cugu7V+fljwVx4IHrk2uUHlCEz7lk1y9SxFhAZp3ayRWsDU4HWacFGcz/L3Pz/cyjWpvyGJ0bokweZWdkmCLeCT4mXvfq43dnyrr4+c1Bs7vg3o632bQ4OnB58zZ45uvPHGWmN69+5dr33Z7XZ9/PHHbmXFxcWqrKx09RrZ7XavnqOiorMrs3v2NNVYtGiR5s2b5/q/pKSEZKmeala991XelA+fXD8TOvgr76xs4aH67oT3Iru28FAf0YGDXwbdDUmMVo/IULdFZ+MiQwP6BGD5u3v9lgfieinwz1/PEvyL9vMd5K+8PcjJL3ZbYFaScgucAb0wN2s1Nr8G/1wbGxur/v3713rr2tX37ESeRowYoV27dunQoUOusg0bNshqtSolJcUV89FHH7lNGb5hwwY5HA6/CZnValVUVJTbDfWz+eujPsvXZBc0ab+2rr5zcn/lndX9E/s1qDxQDEmM1szUPm5lgTxcZk12vluSJElFpRVak53fRjVqeycrzjSoHED93XiZ7x8b/JW3B1zb6m3pO757j/yVo24tOq4lPz9fubm5ys/PV1VVlXJzc5Wbm6sTJ85O0zlhwgRddNFFmjFjhnJycvT+++/r3nvv1S9+8QtXcjN9+nRZrVbddttt2rVrl9atW6elS5dq3rx5fofeofG+Pe57etXCkqZNE/qjIRc0qLyz+n58ZIPKA8mfNu9z+3+1x/+BxN+U+rVNtd/Z9eruu3fRXzmA+uuIP1YxEsFb9j7f52n+ylG3Fv05/9e//rX+9Kc/uf4fMmSIJGnjxo0aPXq0goKC9Pbbb2vWrFm64oorFBYWpunTp+s3v/mN6z42m02ZmZmaPXu2hg0bpujoaM2bN89taB2az1Efw8Jq5B092egPTUc337Pq+CvvrGr7Baw9fyG1tPl/zlVZpfvEDWWV1Zr/51z99oZL2qZSbSg6ws8wGD/lgeDO1As178+f+iwH0HQLrxmgiRfblXf0pJJiIwL6Owmo0aKJ0urVq7V69epaYxITE/W3v/2t1piBAwfqo48+asaawZ+KKv9rUzVlBjIu1j+LX8B883fBcHu+kLglHS0tb1B5IOC9A7S8IYnRHSZB4odHtIbAOktFkxz0MyyvPjjJOasjDm9oDcF+EmZ/5Z3dvu98nwD4Kw8EvHcAnIvzCm+zx/juYfdXjroF1pX0qFP38BB9d6qy2fdbc5Jz7mwsgXqSw/AGb0FdfF9v6K+8s+vdPUIf53mPKe8d4Nfj8N4BUIPzCm/jBsTr6Y3/8lmOxiFRgpv/ue1SXbdqs89tTb2eiJOc/+hIwxtaA0PN3N14WaLWfHLAZ3mg470DoAbnFe4Yjtj8AnNcC/wakhitH/Tv4XNbc1xPNCQxWtcP7ckbFm78XRpXyyVznRrDzACgfjiv+A+GIzY/epTgZe4P+uqDvUe8ynmjoaVYgywq95EVWYMCc+idxC+lAICGYThi8yNRAtDmBvW0KXv/cZ/lgYxhZgCAhuBHtubF0Dt4YbVrtLb/GpbQoHIAAOAbwxGbD4kSvPhbL6kp6ygBtWGdLQAA0N5wFgIvnLSitXEBKgAAaG8484UXTlrR2pjlDQAAtDdM5gAvzJqCtsAFqAAAoD2xGGM6/UolJSUlstlscjqdioqKauvqdBg5+cWctAIAAKBTqW9uQI8S/GJqYgAAAAQqrlECAAAAAA8kSgAAAADggUQJAAAAADwExDVKNfNVlJSUtHFNAAAAALSlmpygrjntAiJRKi0tlSQlJCS0cU0AAAAAtAelpaWy2Wx+twfE9ODV1dU6ePCgIiMjZbFY2rQuJSUlSkhIUEFBAVOVwwvtA/7QNlAb2gf8oW2gNoHaPowxKi0tlcPhUJcu/q9ECogepS5duqhnz55tXQ03UVFRAdUg0TC0D/hD20BtaB/wh7aB2gRi+6itJ6kGkzkAAAAAgAcSJQAAAADwQKLUyqxWqx566CFZrda2rgraIdoH/KFtoDa0D/hD20BtaB+1C4jJHAAAAACgIehRAgAAAAAPJEoAAAAA4IFECQAAAAA8kCi1slWrVikpKUldu3ZVSkqK/vGPf7R1ldAE6enpuvTSSxUZGam4uDhde+21+uKLL9xijDFasmSJHA6HwsLCNHr0aO3evdstpry8XHPnzlVsbKwiIiI0depUHThwwC2muLhYM2bMkM1mk81m04wZM3T8+HG3mPz8fE2ZMkURERGKjY3V3XffrYqKihY5djRMenq6LBaL0tLSXGW0jcD27bff6pZbblH37t0VHh6uSy65RNu3b3dtp30EpjNnzujBBx9UUlKSwsLC1KdPHz3yyCOqrq52xdA2AsdHH32kKVOmyOFwyGKx6M0333Tb3t7aws6dO5WamqqwsDBdcMEFeuSRR9Shp0MwaDUZGRkmJCTEvPDCC2bPnj3mnnvuMREREWb//v1tXTU00sSJE82LL75odu3aZXJzc82kSZNMYmKiOXHihCtm2bJlJjIy0rzxxhtm586dZtq0aeb88883JSUlrpiZM2eaCy64wGRmZpodO3aYMWPGmMGDB5szZ864Yq6++mqTnJxsNm/ebDZv3mySk5PN5MmTXdvPnDljkpOTzZgxY8yOHTtMZmamcTgcZs6cOa3zZMCvbdu2md69e5tBgwaZe+65x1VO2whcx44dM7169TK33Xab+fjjj01eXp557733zNdff+2KoX0EpkcffdR0797d/O1vfzN5eXnm9ddfN+edd5556qmnXDG0jcDxzjvvmMWLF5s33njDSDLr1q1z296e2oLT6TTx8fHmxhtvNDt37jRvvPGGiYyMNL/5zW9a7glqYSRKreiyyy4zM2fOdCvr37+/WbhwYRvVCM2tqKjISDJZWVnGGGOqq6uN3W43y5Ytc8WcPn3a2Gw28+yzzxpjjDl+/LgJCQkxGRkZrphvv/3WdOnSxaxfv94YY8yePXuMJLN161ZXzJYtW4wks3fvXmPM2Q/TLl26mG+//dYV89prrxmr1WqcTmfLHTRqVVpaavr27WsyMzNNamqqK1GibQS2BQsWmFGjRvndTvsIXJMmTTK33367W9n1119vbrnlFmMMbSOQeSZK7a0trFq1ythsNnP69GlXTHp6unE4HKa6uroZn4nWw9C7VlJRUaHt27drwoQJbuUTJkzQ5s2b26hWaG5Op1OSFBMTI0nKy8tTYWGh2+tutVqVmprqet23b9+uyspKtxiHw6Hk5GRXzJYtW2Sz2TR8+HBXzOWXXy6bzeYWk5ycLIfD4YqZOHGiysvL3YbzoHXNnj1bkyZN0rhx49zKaRuB7a233tKwYcP0k5/8RHFxcRoyZIheeOEF13baR+AaNWqU3n//fX355ZeSpE8//VSbNm3SD3/4Q0m0DfxHe2sLW7ZsUWpqqtuaTBMnTtTBgwe1b9++5n8CWkFwW1cgUBw9elRVVVWKj493K4+Pj1dhYWEb1QrNyRijefPmadSoUUpOTpYk12vr63Xfv3+/KyY0NFTR0dFeMTX3LywsVFxcnNdjxsXFucV4Pk50dLRCQ0NpY20kIyNDO3bsUHZ2ttc22kZg++abb/TMM89o3rx5euCBB7Rt2zbdfffdslqt+ulPf0r7CGALFiyQ0+lU//79FRQUpKqqKj322GO66aabJPHZgf9ob22hsLBQvXv39nqcmm1JSUmNOcw2RaLUyiwWi9v/xhivMnRMc+bM0WeffaZNmzZ5bWvM6+4Z4yu+MTFoHQUFBbrnnnu0YcMGde3a1W8cbSMwVVdXa9iwYVq6dKkkaciQIdq9e7eeeeYZ/fSnP3XF0T4Cz5o1a/Tyyy/r1Vdf1cUXX6zc3FylpaXJ4XDo1ltvdcXRNlCjPbUFX3Xxd9+OgKF3rSQ2NlZBQUFev8AUFRV5ZejoeObOnau33npLGzduVM+ePV3ldrtdkmp93e12uyoqKlRcXFxrzOHDh70e98iRI24xno9TXFysyspK2lgb2L59u4qKipSSkqLg4GAFBwcrKytLv//97xUcHOz2K9u5aBuB4fzzz9dFF13kVjZgwADl5+dL4rMjkN13331auHChbrzxRg0cOFAzZszQr371K6Wnp0uibeA/2ltb8BVTVFQkybvXq6MgUWoloaGhSklJUWZmplt5ZmamRo4c2Ua1QlMZYzRnzhytXbtWH3zwgVe3clJSkux2u9vrXlFRoaysLNfrnpKSopCQELeYQ4cOadeuXa6YESNGyOl0atu2ba6Yjz/+WE6n0y1m165dOnTokCtmw4YNslqtSklJaf6DR63Gjh2rnTt3Kjc313UbNmyYbr75ZuXm5qpPnz60jQB2xRVXeC0l8OWXX6pXr16S+OwIZKdOnVKXLu6nZ0FBQa7pwWkbqNHe2sKIESP00UcfuU0ZvmHDBjkcDq8heR1G680bgZrpwf/4xz+aPXv2mLS0NBMREWH27dvX1lVDI911113GZrOZDz/80Bw6dMh1O3XqlCtm2bJlxmazmbVr15qdO3eam266yefUnT179jTvvfee2bFjh/nBD37gc+rOQYMGmS1btpgtW7aYgQMH+py6c+zYsWbHjh3mvffeMz179mQa13bk3FnvjGnethEXF2ckubWNXr16mVtvvbXZ28aLL75oJJns7OxGPxeBbtu2bSY4ONg89thj5quvvjKvvPKKCQ8PNy+//LIrpqZ93HDDDUaSW/tITU01qampzfrZ0a1bN5OSkuJqH3feead56KGHzMaNG1vzqQl4t956q7ngggtc04OvXbvWxMbGmvvvv98Vw/dK4CgtLTU5OTkmJyfHSDIrVqwwOTk5rqVl2lNbOH78uImPjzc33XST2blzp1m7dq2JiopienDU39NPP2169eplQkNDzdChQ13TSKNjkuTz9uKLL7piqqurzUMPPWTsdruxWq3mqquuMjt37nTbT1lZmZkzZ46JiYkxYWFhZvLkySY/P98t5rvvvjM333yziYyMNJGRkebmm282xcXFbjH79+83kyZNMmFhYSYmJsbMmTPHbZpOtC3PRKk528bAgQONJLe2sWPHDte6PM3ZNkiUmsdf//pXk5ycbKxWq+nfv795/vnn3bbXtI+IiAgjya197N692+zevbtZPzuuuuoqY7VaXe3jwIEDRpJ56KGHWvJpgIeSkhJzzz33mMTERNO1a1fTp08fs3jxYlNeXu6K4XslcGzcuNHnecatt95qjGl/beGzzz4zV155pbFarcZut5slS5Z02KnBjTHGYkxHXi4XACBJS5Ys0cMPP9wqK6CvXr1aP/vZz5Sdna1hw4a12OOcOnVK4eHhLbb/1lZWVqauXbv6vKi5tmNtzdf2XEePHlWPHj300EMPacmSJa362ADQHnCNEgB0MG+//bYuueQSWa1WJSUl6Te/+Y3PuN69e+u2225z/V9dXa1HH31U/fr1U1hYmLp166ZBgwbpd7/7ndv99u7dq5tuuknx8fGyWq1KTEzUT3/6U5WXl7vFlZaW6q677lJsbKy6d++u66+/XgcPHnSLWbNmjSZMmKDzzz9fYWFhGjBggBYuXKiTJ0+6xd12220677zztHPnTk2YMEGRkZEaO3asJOn48eO64447FBMTo/POO0+TJk3SN998I4vF4nUC/9VXX2n69OmKi4uT1WrVgAED9PTTT9frea2urtYf/vAHXXLJJa7n5/LLL9dbb73livH1mL6e69WrV8tisWjDhg26/fbb1aNHD4WHh6u8vFyjR49WcnKyPvroI40cOVLh4eG6/fbb61XHGqNHj9bo0aNd/+/bt08Wi0VPPPGEHn/8cfXu3VthYWEaPXq0vvzyS1VWVmrhwoVyOByy2Wy67rrrXBdZ+9rnvn371KNHD0nSww8/LIvFIovF4naMANDZMT04AHQg77//vn70ox9pxIgRysjIUFVVlZYvX+5zxiJPy5cv15IlS/Tggw/qqquuUmVlpfbu3avjx4+7Yj799FONGjVKsbGxeuSRR9S3b18dOnRIb731lioqKtwWEvz5z3+uSZMm6dVXX1VBQYHuu+8+3XLLLfrggw9cMV999ZV++MMfKi0tTREREdq7d68ef/xxbdu2zS1OOnsR8tSpU3XnnXdq4cKFOnPmjKqrqzVlyhR98sknWrJkiYYOHaotW7bo6quv9jq+PXv2aOTIkUpMTNRvf/tb2e12/f3vf9fdd9+to0eP6qGHHqr1+bntttv08ssv64477tAjjzyi0NBQ7dixo0kLJd5+++2aNGmSXnrpJZ08eVIhISGSzl5Mfcstt+j+++/X0qVLvS7eb6ynn35agwYN0tNPP63jx49r/vz5mjJlioYPH66QkBD9f//f/6f9+/fr3nvv1c9//nO3JPBc559/vtavX6+rr75ad9xxh37+859Lkit5AoBAQKIEAB3I4sWLFR8fr8zMTNf6TBMnTqzXjEL//Oc/NXDgQLcekYkTJ7rFzJs3T8HBwdq2bZvbSfHNN9/stb+rr75av//9713/Hzt2TPfff78KCwtd09Y++OCDru3GGF1xxRUaMGCAUlNT9dlnn2nQoEGu7ZWVlfr1r3+tn/3sZ66yd955R5s2bdIzzzyjmTNnSpLGjx+v0NBQLVq0yKvukZGR2rRpk6Kiolyx5eXlWrZsme6++26vRRdr/OMf/9BLL72kxYsX69FHH3U7xqYYO3asnnvuOa/yY8eO6fXXX9cPfvCDJu3fU7du3fTmm2+6Eq+jR48qLS1N/fv311/+8hdX3N69e/XUU0+ppKTE9Vyd69yZrHr27KnLL7+8WesJAB0BQ+8AoIM4efKksrOzdf3117stYhsZGakpU6bUef/LLrtMn376qWbNmqW///3vKikpcdt+6tQpZWVl6YYbbqhXz8HUqVPd/q9JempWhJekb775RtOnT5fdbldQUJBCQkKUmpoqSfr888+99vnjH//Y7f+srCxJ0g033OBWftNNN7n9f/r0ab3//vu67rrrFB4erjNnzrhuP/zhD3X69Glt3brV77G8++67kqTZs2fXeswN5Xk8NaKjo5s9SZKkH/7wh269UwMGDJAkTZo0yS2uprxm3SYAgDd6lACggyguLlZ1dbWrt+Zcvso8LVq0SBEREXr55Zf17LPPKigoSFdddZUef/xxDRs2TMXFxaqqqnJbNLk23bt3d/u/ZlheWVmZJOnEiRO68sor1bVrVz366KP6/ve/r/DwcBUUFOj66693xdUIDw/36t347rvvFBwcrJiYGLdyz8ULv/vuO505c0Z/+MMf9Ic//MFnfY8ePer3WI4cOaKgoKB6PY8Ncf755zeovKk8n6fQ0NBay0+fPt0i9QCAzoBECQA6iOjoaFksFq+VzyXvldl9CQ4O1rx58zRv3jwdP35c7733nh544AFNnDhRBQUFiomJUVBQkA4cONAs9f3ggw908OBBffjhh65eJElu10Sdy9dscN27d9eZM2d07Ngxt5N9z+ONjo5WUFCQZsyY4bdXyHNB6HP16NFDVVVVKiwsrDWJsVqtXpNaSGcTNV98HVNt5QCA9oOhdwDQQUREROiyyy7T2rVr3XoCSktL9de//rVB++rWrZv+67/+S7Nnz9axY8e0b98+hYWFKTU1Va+//nqtvS/1VZMMnDsBhCSf1+z4U5NgrVmzxq08IyPD7f/w8HCNGTNGOTk5GjRokIYNG+Z18+wBO9c111wjSXrmmWdqrU/v3r312WefuZV98MEHOnHiRL2PqaPw7CEEgEBDjxIAdCD/7//9P1199dUaP3685s+fr6qqKj3++OOKiIjQsWPHar3vlClTlJycrGHDhqlHjx7av3+/nnrqKfXq1Ut9+/aVJK1YsUKjRo3S8OHDtXDhQn3ve9/T4cOH9dZbb+m5555TZGRkves6cuRIRUdHa+bMmXrooYcUEhKiV155RZ9++mm993H11Vfriiuu0Pz581VSUqKUlBRt2bJF//u//ytJbtfj/O53v9OoUaN05ZVX6q677lLv3r1VWlqqr7/+Wn/961+9Ztk715VXXqkZM2bo0Ucf1eHDhzV58mRZrVbl5OQoPDxcc+fOlSTNmDFD//3f/61f//rXSk1N1Z49e7Ry5UrZbLZ6H1NHERkZqV69eukvf/mLxo4dq5iYGMXGxtZr4hAA6AzoUQKADmT8+PF68803VVJSomnTpmnevHn68Y9/XK91eMaMGaOPPvpIM2fO1Pjx4/Xggw9q7NixysrKck1bPXjwYG3btk0pKSlatGiRrr76ai1YsEBWq9V1XUt9de/eXW+//bbCw8N1yy236Pbbb9d5553n1TtUmy5duuivf/2rbrzxRi1btkw/+tGP9I9//EMvv/yypLM9YzUuuugi7dixQ8nJyXrwwQc1YcIE3XHHHfq///s/15pMtVm9erVWrFihzZs367/+6790ww036C9/+YvbkL377rtP9913n1avXq0pU6bojTfe0J///Ge3enQmf/zjHxUeHq6pU6fq0ksvZeFZAAHFYlp7qW8AAJro1Vdf1c0336x//vOfGjlyZFtXBwDQCZEoAQDatddee03ffvutBg4cqC5dumjr1q164oknNGTIENf04QAANDeuUQIAtGuRkZHKyMjQo48+qpMnT+r888/Xbbfd5rYwLAAAzY0eJQAAAADwwGQOAAAAAOCBRAkAAAAAPJAoAQAAAIAHEiUAAAAA8BAQs95VV1fr4MGDioyMlMViaevqAAAAAGgjxhiVlpbK4XCoSxf//UYBkSgdPHhQCQkJbV0NAAAAAO1EQUGBevbs6Xd7QCRKkZGRks4+GVFRUW1cGwAAAABtpaSkRAkJCa4cwZ+ASJRqhttFRUWRKAEAAACo85IcJnMAAAAAAA8kSgAAAADggUQJAAAAADw0S6KUnp4ui8WitLQ0V5kxRkuWLJHD4VBYWJhGjx6t3bt3u92vvLxcc+fOVWxsrCIiIjR16lQdOHDALaa4uFgzZsyQzWaTzWbTjBkzdPz48eaoNtDmrl/1Tw1csl7Xr/pnW1cFAAAA52hyopSdna3nn39egwYNcitfvny5VqxYoZUrVyo7O1t2u13jx49XaWmpKyYtLU3r1q1TRkaGNm3apBMnTmjy5MmqqqpyxUyfPl25ublav3691q9fr9zcXM2YMaOp1QbaXO+Fb2tH/nGVnq7Sjvzj6r3w7bauEgAAAP6tSYnSiRMndPPNN+uFF15QdHS0q9wYo6eeekqLFy/W9ddfr+TkZP3pT3/SqVOn9Oqrr0qSnE6n/vjHP+q3v/2txo0bpyFDhujll1/Wzp079d5770mSPv/8c61fv17/8z//oxEjRmjEiBF64YUX9Le//U1ffPFFU6oOtCl/PUj0LAEAALQPTUqUZs+erUmTJmncuHFu5Xl5eSosLNSECRNcZVarVampqdq8ebMkafv27aqsrHSLcTgcSk5OdsVs2bJFNptNw4cPd8VcfvnlstlsrhhfysvLVVJS4nYD2pOvikobVA4AAIDW1ehEKSMjQzt27FB6errXtsLCQklSfHy8W3l8fLxrW2FhoUJDQ916onzFxMXFee0/Li7OFeNLenq665omm82mhISEhh0c0ML6xvle4MxfOQAAAFpXoxKlgoIC3XPPPXr55ZfVtWtXv3GeizgZY+pc2Mkzxld8XftZtGiRnE6n61ZQUFDrYwKtbe2sKxpUDgAAgNbVqERp+/btKioqUkpKioKDgxUcHKysrCz9/ve/V3BwsKsnybPXp6ioyLXNbreroqJCxcXFtcYcPnzY6/GPHDni1Vt1LqvVqqioKLcb0N7sWzZJQxO7KbJrkIYmdtO+ZZPaukoAAAD4t0YlSmPHjtXOnTuVm5vrug0bNkw333yzcnNz1adPH9ntdmVmZrruU1FRoaysLI0cOVKSlJKSopCQELeYQ4cOadeuXa6YESNGyOl0atu2ba6Yjz/+WE6n0xUDdGRrZ12hnUuupicJAACgnQluzJ0iIyOVnJzsVhYREaHu3bu7ytPS0rR06VL17dtXffv21dKlSxUeHq7p06dLkmw2m+644w7Nnz9f3bt3V0xMjO69914NHDjQNTnEgAEDdPXVV+sXv/iFnnvuOUnSL3/5S02ePFn9+vVr9EEDAAAAQG0alSjVx/3336+ysjLNmjVLxcXFGj58uDZs2KDIyP9crP7kk08qODhYN9xwg8rKyjR27FitXr1aQUFBrphXXnlFd999t2t2vKlTp2rlypUtVW0AAAAAkMUYY9q6Ei2tpKRENptNTqeT65UAAACAAFbf3KBJ6ygBAAAAQGdEogQAAAAAHkiUAAAAAMADiRIAAAAAeCBRAgAAAAAPJEoAAAAA4IFECQAAAAA8kCgBAAAAgAcSJQAAAADwQKIEAAAAAB5IlAAAAADAA4kSAAAAAHggUQIAAAAADyRKAAAAAOCBRAkAAAAAPJAoAQAAAIAHEiUAAAAA8ECiBAAAAAAeSJQAAAAAwAOJEgAAAAB4IFECAAAAAA8kSgAAAADggUQJAAAAADyQKAEAAACABxIlAAAAAPBAogQAAAAAHkiUAAAAAMADiRIAAAAAeCBRAgAAAAAPJEoAAAAA4IFECQAAAAA8kCgBAAAAgAcSJQAAAADw0OhE6ZlnntGgQYMUFRWlqKgojRgxQu+++65ruzFGS5YskcPhUFhYmEaPHq3du3e77aO8vFxz585VbGysIiIiNHXqVB04cMAtpri4WDNmzJDNZpPNZtOMGTN0/PjxxlYbAAAAAOrU6ESpZ8+eWrZsmT755BN98skn+sEPfqAf/ehHrmRo+fLlWrFihVauXKns7GzZ7XaNHz9epaWlrn2kpaVp3bp1ysjI0KZNm3TixAlNnjxZVVVVrpjp06crNzdX69ev1/r165Wbm6sZM2Y04ZABAAAAoHYWY4xprp3FxMToiSee0O233y6Hw6G0tDQtWLBA0tneo/j4eD3++OO688475XQ61aNHD7300kuaNm2aJOngwYNKSEjQO++8o4kTJ+rzzz/XRRddpK1bt2r48OGSpK1bt2rEiBHau3ev+vXrV696lZSUyGazyel0KioqqrkOFwAAAEAHU9/coFmuUaqqqlJGRoZOnjypESNGKC8vT4WFhZowYYIrxmq1KjU1VZs3b5Ykbd++XZWVlW4xDodDycnJrpgtW7bIZrO5kiRJuvzyy2Wz2VwxvpSXl6ukpMTtBgAAAAD11aREaefOnTrvvPNktVo1c+ZMrVu3ThdddJEKCwslSfHx8W7x8fHxrm2FhYUKDQ1VdHR0rTFxcXFejxsXF+eK8SU9Pd11TZPNZlNCQkJTDhMAAABAgGlSotSvXz/l5uZq69atuuuuu3Trrbdqz549ru0Wi8Ut3hjjVebJM8ZXfF37WbRokZxOp+tWUFBQ30MCAAAAgKYlSqGhofre976nYcOGKT09XYMHD9bvfvc72e12SfLq9SkqKnL1MtntdlVUVKi4uLjWmMOHD3s97pEjR7x6q85ltVpds/HV3AAAAACgvpp1HSVjjMrLy5WUlCS73a7MzEzXtoqKCmVlZWnkyJGSpJSUFIWEhLjFHDp0SLt27XLFjBgxQk6nU9u2bXPFfPzxx3I6na4YAAAAAGhuwY294wMPPKBrrrlGCQkJKi0tVUZGhj788EOtX79eFotFaWlpWrp0qfr27au+fftq6dKlCg8P1/Tp0yVJNptNd9xxh+bPn6/u3bsrJiZG9957rwYOHKhx48ZJkgYMGKCrr75av/jFL/Tcc89Jkn75y19q8uTJ9Z7xDgAAAAAaqtGJ0uHDhzVjxgwdOnRINptNgwYN0vr16zV+/HhJ0v3336+ysjLNmjVLxcXFGj58uDZs2KDIyEjXPp588kkFBwfrhhtuUFlZmcaOHavVq1crKCjIFfPKK6/o7rvvds2ON3XqVK1cubKx1QYAAACAOjXrOkrtFesoAQAAAJBaeR0lAAAAAOhMSJQAAAAAwAOJEgAAAAB4IFECAAAAAA8kSgAAAADggUQJAAAAADyQKAEAAACABxIlAAAAAPBAogQAAAAAHkiUAAAAAMADiRIAAAAAeCBRAgAAAAAPJEoAAAAA4IFECQAAAAA8kCgBAAAAgAcSJQAAAADwQKIEAAAAAB5IlAAAAADAA4kSAAAAAHggUQIAAAAADyRKAAAAAOCBRAkAAAAAPJAoAQAAAIAHEiUAAAAA8ECiBAAAAAAeSJQAAAAAwAOJEgAAAAB4IFECAAAAAA8kSgAAAADggUQJAAAAADyQKAEAAACABxIlAAAAAPBAogQAAAAAHhqdKKWnp+vSSy9VZGSk4uLidO211+qLL75wizHGaMmSJXI4HAoLC9Po0aO1e/dut5jy8nLNnTtXsbGxioiI0NSpU3XgwAG3mOLiYs2YMUM2m002m00zZszQ8ePHG1t1AAAAAKhVoxOlrKwszZ49W1u3blVmZqbOnDmjCRMm6OTJk66Y5cuXa8WKFVq5cqWys7Nlt9s1fvx4lZaWumLS0tK0bt06ZWRkaNOmTTpx4oQmT56sqqoqV8z06dOVm5ur9evXa/369crNzdWMGTMaW3UAAAAAqJXFGGOaY0dHjhxRXFycsrKydNVVV8kYI4fDobS0NC1YsEDS2d6j+Ph4Pf7447rzzjvldDrVo0cPvfTSS5o2bZok6eDBg0pISNA777yjiRMn6vPPP9dFF12krVu3avjw4ZKkrVu3asSIEdq7d6/69etXZ91KSkpks9nkdDoVFRXVHIcLAAAAoAOqb27QbNcoOZ1OSVJMTIwkKS8vT4WFhZowYYIrxmq1KjU1VZs3b5Ykbd++XZWVlW4xDodDycnJrpgtW7bIZrO5kiRJuvzyy2Wz2VwxnsrLy1VSUuJ2AwAAAID6apZEyRijefPmadSoUUpOTpYkFRYWSpLi4+PdYuPj413bCgsLFRoaqujo6Fpj4uLivB4zLi7OFeMpPT3ddT2TzWZTQkJC0w4QAAAAQEBplkRpzpw5+uyzz/Taa695bbNYLG7/G2O8yjx5xviKr20/ixYtktPpdN0KCgrqcxgAAAAAIKkZEqW5c+fqrbfe0saNG9WzZ09Xud1ulySvXp+ioiJXL5PdbldFRYWKi4trjTl8+LDX4x45csSrt6qG1WpVVFSU2w0AAAAA6qvRiZIxRnPmzNHatWv1wQcfKCkpyW17UlKS7Ha7MjMzXWUVFRXKysrSyJEjJUkpKSkKCQlxizl06JB27drlihkxYoScTqe2bdvmivn444/ldDpdMQAAAADQnIIbe8fZs2fr1Vdf1V/+8hdFRka6eo5sNpvCwsJksViUlpampUuXqm/fvurbt6+WLl2q8PBwTZ8+3RV7xx13aP78+erevbtiYmJ07733auDAgRo3bpwkacCAAbr66qv1i1/8Qs8995wk6Ze//KUmT55crxnvAAAAAKChGp0oPfPMM5Kk0aNHu5W/+OKLuu222yRJ999/v8rKyjRr1iwVFxdr+PDh2rBhgyIjI13xTz75pIKDg3XDDTeorKxMY8eO1erVqxUUFOSKeeWVV3T33Xe7ZsebOnWqVq5c2diqAwAAAECtmm0dpfaMdZQAAAAASG2wjhIAAAAAdBYkSgAAAADggUQJAAAAADyQKAEAAACABxIlAAAAAPBAogQAAAAAHkiUAAAAAMADiRIAAAAAeCBRAgAAAAAPJEoAAAAA4IFECQAAAAA8kCgBAAAAgAcSJQAAAADwQKIEAAAAAB5IlAAAAADAA4kSAAAAAHggUQIAAAAADyRKAAAAAOCBRAkAAAAAPJAoAQAAAIAHEiUAAAAA8ECiBAAAAAAeSJQAAAAAwAOJEgAAAAB4IFECAAAAAA8kSgAAAADggUQJAAAAADyQKAEAAACABxIlAAAAAPBAogQAAAAAHkiUAAAAAMADiRIAAAAAeCBRAgAAAAAPjU6UPvroI02ZMkUOh0MWi0Vvvvmm23ZjjJYsWSKHw6GwsDCNHj1au3fvdospLy/X3LlzFRsbq4iICE2dOlUHDhxwiykuLtaMGTNks9lks9k0Y8YMHT9+vLHVBgAAAIA6NTpROnnypAYPHqyVK1f63L58+XKtWLFCK1euVHZ2tux2u8aPH6/S0lJXTFpamtatW6eMjAxt2rRJJ06c0OTJk1VVVeWKmT59unJzc7V+/XqtX79eubm5mjFjRmOrDQAAAAB1shhjTJN3YrFo3bp1uvbaayWd7U1yOBxKS0vTggULJJ3tPYqPj9fjjz+uO++8U06nUz169NBLL72kadOmSZIOHjyohIQEvfPOO5o4caI+//xzXXTRRdq6dauGDx8uSdq6datGjBihvXv3ql+/fvWqX0lJiWw2m5xOp6Kiopp6uAAAAAA6qPrmBi1yjVJeXp4KCws1YcIEV5nValVqaqo2b94sSdq+fbsqKyvdYhwOh5KTk10xW7Zskc1mcyVJknT55ZfLZrO5YnwpLy9XSUmJ2w0AAAAA6qtFEqXCwkJJUnx8vFt5fHy8a1thYaFCQ0MVHR1da0xcXJzX/uPi4lwxvqSnp7uuabLZbEpISGjS8QAAAAAILC06653FYnH73xjjVebJM8ZXfF37WbRokZxOp+tWUFDQwJoDAAAACGQtkijZ7XZJ8ur1KSoqcvUy2e12VVRUqLi4uNaYw4cPe+3/yJEjXr1V57JarYqKinK7AQAAAEB9tUiilJSUJLvdrszMTFdZRUWFsrKyNHLkSElSSkqKQkJC3GIOHTqkXbt2uWJGjBghp9Opbdu2uWI+/vhjOZ1OVwwAAAAANLfgxt7xxIkT+vrrr13/5+XlKTc3VzExMUpMTFRaWpqWLl2qvn37qm/fvlq6dKnCw8M1ffp0SZLNZtMdd9yh+fPnq3v37oqJidG9996rgQMHaty4cZKkAQMG6Oqrr9YvfvELPffcc5KkX/7yl5o8eXK9Z7wDAAAAgIZqdKL0ySefaMyYMa7/582bJ0m69dZbtXr1at1///0qKyvTrFmzVFxcrOHDh2vDhg2KjIx03efJJ59UcHCwbrjhBpWVlWns2LFavXq1goKCXDGvvPKK7r77btfseFOnTvW7dhMAAAAANIdmWUepvWMdJQAAAABSG6+jBAAAAAAdGYkSAAAAAHggUQIAAAAADyRKAAAAAOCBRAkAAAAAPJAoAQAAAIAHEiUAAAAA8ECiBAAAAAAeSJQAAAAAwAOJEgAAAAB4IFECAAAAAA8kSgAAAADggUQJAAAAADyQKAEAAACAh+C2rkCg6b3w7bauAtBi9i2b5LOcdt/5zR5zoe6b2N/1P685AMAff+cL7Q09Sq2IEwd0dr7aOO0+MDy98V+69LFMSbzmAIDadZTvCRKlVtJRGgTQVOe2ddp9YDlSWsFrDgCol47wfUGiBAAAAAAeSJQANLveC99WTn5xW1cDAACg0UiUWklHuWgNaC4fflHU1lVAK4uLDOWzDgBQLx3h+4JEqRV1hAYBNJc3c75t6yqgFc0ec6G2LR4vic86AEDtOsr3hMUYY9q6Ei2tpKRENptNTqdTUVFRbV0doNNo7IWY62aN1JDE6GauDQAAQN3qmxvQowSg0e4Z+71G3Y8kCQAAtHckSgAabXS/uLauAgAAQIsgUQLQaI3pGeoo45IBAEBgI1ECAAAAAA8kSgCapCE9RMF84gAAgA6C0xYATZbsiKxX3JnqFq4IAABAMyFRAtBkqfWc1CE+ytrCNQEAAGgeJEoAmuy+if3VIzK0zriPHxjXCrUBAABoOhIlAM0ie/F4zR5zoc9t8VFWZrsDAAAdisUYY9q6Ei2tvqvvAgAAAOjc6psb0KMEAAAAAB46TKK0atUqJSUlqWvXrkpJSdE//vGPtq4SAAAAgE6qQyRKa9asUVpamhYvXqycnBxdeeWVuuaaa5Sfn9/WVQMAAADQCXWIa5SGDx+uoUOH6plnnnGVDRgwQNdee63S09PrvD/XKKG15OQXK+/oSSXFRmhIYnSzx3c0OfnF+vCLIknS6H5xnfIYG6MzvO45+cXK2JavNZ8cqDO2tok81mTn6/3PDys6PFQ3Xpbo9/noDM8Z3K3JztenBcc1OKGbpl2a2NbVQSM15r3Ze+HbtW7395lx7v2YIAhNUd/coN0nShUVFQoPD9frr7+u6667zlV+zz33KDc3V1lZWXXug0QJrWHZu5/r2axvXP/PTO2jhdcMaLb4jsbz+KTOd4yN0Rled1+vbV18ndRc+/Qm5RY43cp8PR+d4TmDO8/X/pIEm96cPaoNa4TGaMx7s64kqYbnZ4av+5EsobE6zWQOR48eVVVVleLj493K4+PjVVhY6PM+5eXlKikpcbsBLSknv9jrxPHZrG+Uk1/cLPEdja/jkzrXMTZGZ3jd/b22dfE8yVmTne+VJEnez0dneM7gztdrn1vg1JpshtN3JI15b9Y3SfKM9Xe/huwPaIx2nyjVsFgsbv8bY7zKaqSnp8tms7luCQkJrVFFBLC8oydbtLyjqe04OssxNkZneN2bq66fFhyv12N0hucM7vy99rW1CbQ/vDcRCNp9ohQbG6ugoCCv3qOioiKvXqYaixYtktPpdN0KCgpao6oIYEmxES1a3tHUdhyd5RgbozO87s1V18EJ3er1GJ3hOYM7f699bW0C7Q/vTQSCdp8ohYaGKiUlRZmZmW7lmZmZGjlypM/7WK1WRUVFud2AljQkMVozU/u4ld2V2sfvha0Nje9ofB2f1LmOsTE6w+vu77Wti+e1BNMuTdQlCTavOM/nozM8Z3Dn67UfkmBjQocOpjHvzYZcU3RurL/7cY0SWlq7n8xBOjs9+IwZM/Tss89qxIgRev755/XCCy9o9+7d6tWrV533ZzIHtBZmvXPHrHe+dYbXnVnv0FTMetc5MOsdOqJOM+tdjVWrVmn58uU6dOiQkpOT9eSTT+qqq66q131JlAAAAABInTBRagoSJQAAAABSJ5oeHAAAAABaW3BbV6A11HSasZ4SAAAAENhqcoK6BtYFRKJUWloqSaynBAAAAEDS2RzBZvOegbVGQFyjVF1drYMHDyoyMtLvIrWtpaSkRAkJCSooKOB6KXihfcAf2gZqQ/uAP7QN1CZQ24cxRqWlpXI4HOrSxf+VSAHRo9SlSxf17NmzravhhvWdUBvaB/yhbaA2tA/4Q9tAbQKxfdTWk1SDyRwAAAAAwAOJEgAAAAB4IFFqZVarVQ899JCsVmtbVwXtEO0D/tA2UBvaB/yhbaA2tI/aBcRkDgAAAADQEPQoAQAAAIAHEiUAAAAA8ECiBAAAAAAeSJQAAAAAwAOJUitbtWqVkpKS1LVrV6WkpOgf//hHW1cJTZCenq5LL71UkZGRiouL07XXXqsvvvjCLcYYoyVLlsjhcCgsLEyjR4/W7t273WLKy8s1d+5cxcbGKiIiQlOnTtWBAwfcYoqLizVjxgzZbDbZbDbNmDFDx48fd4vJz8/XlClTFBERodjYWN19992qqKhokWNHw6Snp8tisSgtLc1VRtsIbN9++61uueUWde/eXeHh4brkkku0fft213baR2A6c+aMHnzwQSUlJSksLEx9+vTRI488ourqalcMbSNwfPTRR5oyZYocDocsFovefPNNt+3trS3s3LlTqampCgsL0wUXXKBHHnlEHXreOINWk5GRYUJCQswLL7xg9uzZY+655x4TERFh9u/f39ZVQyNNnDjRvPjii2bXrl0mNzfXTJo0ySQmJpoTJ064YpYtW2YiIyPNG2+8YXbu3GmmTZtmzj//fFNSUuKKmTlzprngggtMZmam2bFjhxkzZowZPHiwOXPmjCvm6quvNsnJyWbz5s1m8+bNJjk52UyePNm1/cyZMyY5OdmMGTPG7Nixw2RmZhqHw2HmzJnTOk8G/Nq2bZvp3bu3GTRokLnnnntc5bSNwHXs2DHTq1cvc9ttt5mPP/7Y5OXlmffee898/fXXrhjaR2B69NFHTffu3c3f/vY3k5eXZ15//XVz3nnnmaeeesoVQ9sIHO+8845ZvHixeeONN4wks27dOrft7aktOJ1OEx8fb2688Uazc+dO88Ybb5jIyEjzm9/8puWeoBZGotSKLrvsMjNz5ky3sv79+5uFCxe2UY3Q3IqKiowkk5WVZYwxprq62tjtdrNs2TJXzOnTp43NZjPPPvusMcaY48ePm5CQEJORkeGK+fbbb02XLl3M+vXrjTHG7Nmzx0gyW7dudcVs2bLFSDJ79+41xpz9MO3SpYv59ttvXTGvvfaasVqtxul0ttxBo1alpaWmb9++JjMz06SmproSJdpGYFuwYIEZNWqU3+20j8A1adIkc/vtt7uVXX/99eaWW24xxtA2AplnotTe2sKqVauMzWYzp0+fdsWkp6cbh8Nhqqurm/GZaD0MvWslFRUV2r59uyZMmOBWPmHCBG3evLmNaoXm5nQ6JUkxMTGSpLy8PBUWFrq97larVampqa7Xffv27aqsrHSLcTgcSk5OdsVs2bJFNptNw4cPd8VcfvnlstlsbjHJyclyOByumIkTJ6q8vNxtOA9a1+zZszVp0iSNGzfOrZy2EdjeeustDRs2TD/5yU8UFxenIUOG6IUXXnBtp30ErlGjRun999/Xl19+KUn69NNPtWnTJv3whz+URNvAf7S3trBlyxalpqa6LV47ceJEHTx4UPv27Wv+J6AVBLd1BQLF0aNHVVVVpfj4eLfy+Ph4FRYWtlGt0JyMMZo3b55GjRql5ORkSXK9tr5e9/3797tiQkNDFR0d7RVTc//CwkLFxcV5PWZcXJxbjOfjREdHKzQ0lDbWRjIyMrRjxw5lZ2d7baNtBLZvvvlGzzzzjObNm6cHHnhA27Zt09133y2r1aqf/vSntI8AtmDBAjmdTvXv319BQUGqqqrSY489pptuukkSnx34j/+/vXuPj6K6+wf+2dw2FzYLIeQGCQTlpuEOIkgNoIA00CpYERDB/p5WBSxRK3KpJaIkESvl50/AR58+aF+KpH2I1hYrhIJBBSUliYSrKIREIAYwJOGWkOT8/siTNbs7M3vJ7s7uzOf9eu3rBWdOZs/Onp2Z77mNv9WFqqoq9OrVy+592ralpqa68zFVxUDJxwwGg9X/hRB2aRSYFi1ahIMHD+Kzzz6z2+bO926bRyq/O3nINyorK7F48WLs2LED4eHhsvlYN/SppaUFI0aMQHZ2NgBg6NChOHz4MDZu3IiHH37Yko/1Q3/y8vLwzjvvYPPmzbj11ltRWlqKzMxMJCUlYd68eZZ8rBvUxp/qglRZ5P42EHDonY/ExsYiODjYrgWmurraLkKnwPPEE0/gww8/xO7du9GjRw9LekJCAgAofu8JCQlobGxETU2NYp7vv//e7n3Pnz9vlcf2fWpqanDjxg3WMRUcOHAA1dXVGD58OEJCQhASEoLCwkK8+uqrCAkJsWpla491Qx8SExNxyy23WKUNGDAAFRUVAHju0LNnnnkGS5cuxYMPPoiBAwdi7ty5ePLJJ5GTkwOAdYN+5G91QSpPdXU1APter0DBQMlHwsLCMHz4cBQUFFilFxQUYMyYMSqVijpKCIFFixYhPz8fu3btsutWTk1NRUJCgtX33tjYiMLCQsv3Pnz4cISGhlrlOXfuHA4dOmTJM3r0aNTW1mL//v2WPF9++SVqa2ut8hw6dAjnzp2z5NmxYweMRiOGDx/u+Q9Piu666y6UlZWhtLTU8hoxYgTmzJmD0tJS9O7dm3VDx+644w67Rwl8/fXX6NmzJwCeO/Ts6tWrCAqyvj0LDg62LA/OukFt/K0ujB49Gnv27LFaMnzHjh1ISkqyG5IXMHy3bgS1LQ/+pz/9SRw5ckRkZmaKqKgoUV5ernbRyE2PP/64MJvN4pNPPhHnzp2zvK5evWrJk5ubK8xms8jPzxdlZWVi1qxZkkt39ujRQ+zcuVMUFxeLCRMmSC7dOWjQILFv3z6xb98+MXDgQMmlO++66y5RXFwsdu7cKXr06MFlXP1I+1XvhGDd0LP9+/eLkJAQsXr1anHixAnx7rvvisjISPHOO+9Y8rB+6NO8efNE9+7dLcuD5+fni9jYWLFkyRJLHtYN/aivrxclJSWipKREABBr164VJSUllkfL+FNduHTpkoiPjxezZs0SZWVlIj8/X0RHR3N5cHLe+vXrRc+ePUVYWJgYNmyYZRlpCkwAJF+bNm2y5GlpaRErV64UCQkJwmg0ijvvvFOUlZVZ7efatWti0aJFIiYmRkRERIipU6eKiooKqzwXL14Uc+bMESaTSZhMJjFnzhxRU1Njlef06dMiIyNDREREiJiYGLFo0SKrZTpJXbaBEuuGvv39738XaWlpwmg0iv79+4s33njDajvrhz7V1dWJxYsXi5SUFBEeHi569+4tVqxYIRoaGix5WDf0Y/fu3ZL3GfPmzRNC+F9dOHjwoPjJT34ijEajSEhIEFlZWQG7NLgQQhiECOTH5RIREREREXke5ygREVHAOn/+PH79618jOTkZRqMR3bp1wx133IGdO3da8vz3f/83Bg8ejPDwcMTExOC+++7D0aNH7fb15ZdfYtq0aejatSvCw8Nx0003ITMz04efhoiI/AmXByciooA1d+5cFBcXY/Xq1ejbty8uXbqE4uJiXLx4EQCQk5OD5cuXY9asWcjJycHFixeRlZWF0aNHo6ioCH369AEAbN++HdOmTcOAAQOwdu1apKSkoLy8HDt27FDz4xERkYo49I6IiAKWyWTCf/zHf+CPf/yj3bZLly4hKSkJ48ePx7Zt2yzplZWV6NOnD2bMmIF3330XAHDzzTcDAA4dOqT43CsiItIP9igREVHAuu222/DWW2+ha9euuPvuuy1L4QLAvn37cO3aNcyfP9/qb5KTkzFhwgT861//AtC6LPe3336L7OxsBklERGTBOUpERBSw8vLyMG/ePPzXf/0XRo8ejZiYGDz88MOoqqqyDL9LTEy0+7ukpCTL9vPnzwOA1cOiiYiIGCgREVHAio2Nxbp161BeXo7Tp08jJycH+fn5mD9/Prp27QoAVg9IbHP27FnExsYCALp16wYA+O6773xXcCIi8nuco0RERJpy33334fPPP8fXX3+NpKQkTJw4EX/7298s27/77jvcfPPNuP/++/HOO+8AaJ2jZDAYcOjQIRiNRrWKTkREfoRzlIiIKCDV1tZi/PjxmD17Nvr37w+TyYSioiJ8/PHHmD59Ojp37oznnnsOy5cvx8MPP4xZs2bh4sWLeP755xEeHo6VK1da9rV+/XpMmzYNt99+O5588kmkpKSgoqIC27dvtyz4QERE+sIeJSIiCkgNDQ3IzMzE3r17UV5ejhs3biAlJQUPPvgglixZgsjISADAn/70J7z66qs4duwYIiIiMG7cOGRnZ+OWW26x2t8XX3yBVatWYe/evbh+/Tp69OiBn/3sZ1i7dq0aH4+IiFTGQImIiIiIiMgGF3MgIiIiIiKywUCJiIiIiIjIBgMlIiIiIiIiGwyUiIiIiIiIbDBQIiIiIiIissFAiYiIiIiIyAYDJSIiIiIiIhshahfAF1paWnD27FmYTCYYDAa1i0NERERERCoRQqC+vh5JSUkICpLvN9JFoHT27FkkJyerXQwiIiIiIvITlZWV6NGjh+x2XQRKJpMJQOvBiI6OVrk0RERERESklrq6OiQnJ1tiBDm6CJTahttFR0czUCIiIiIiIodTcriYAxERERERkQ0GSkRERERERDZ0MfSOKJD0WrrNLq08N0OFkhARERHpF3uUiPyIVJCklE5ERERE3sFAichPOAqGGCwRERER+Q4DJSIiIiIiIhsMlIiIiIiIiGxwMQcVPLJpPw6frUV1faPb+wg2AM3Cg4UiVYQGAzeanc8fyMPv4qONuFDfoNl6GxoE3GhRuxTqkFtsZNiqHai5egNtX3lkaBCOvDAFk/9YiNM/XMH1G61bDAA6hQejT5wJ+QvukNxX+7rfJTIUNVdvdKjMkaFBaGhqUa0+OvrtKy3g0mf5Ntxoaa1zA3t0xonqetRfVz6RvL9gDIamdAHgn+eR8twMvyyXL0SGBuHq/548gg1ASJAByTGROHn+CtqfUkKDgF+MSMbg5M54dmuZ0/sf368bDp+tRe3VG2iBsKp3caYw1F69gYZmgRAD0OTE78FXiwu1rw/BBiDWZMSXy+/GoJUfo67Bvr6HhxrQMyYKl67dcPpa4+w12Nl7LsP/vqQuBQbAci40BhsQHGSwfO+uaCtL+/3ZigwNQqzJiIofrjlVZjVOg4GySJVBCKHR25Yf1dXVwWw2o7a2VvUHzt60bJtmbxSJSL9sL3oduen15L4CmdSNREeOxWPpvfF64cmOFIkIgPdvcvX6m9cbNYMlZ2MDBko+9Mim/dh9/Lxq709E5E1tF71hq3bghw70+AxL6WzpWeINE1FgcvcmmL95fVErWHI2NuAcJR9ikEREWjZydQEAdChIAoDiikseKA0RqYkBD2kB5yj5CE8YRKR15+sbPXau67V0W8CMYSciabz3oUDHHiUiIiIiIvKpOFOY2kVwiIESERERERH51K1JZrWL4BADJR/hEBIi0ro4U5jHznVt++G5k4hIe4INwKZHblO7GA4xUPIhXvCJSKsWjr8J+1dMBNDxc53t3/PcSUSkHeP7dcO3OYFxXufy4GQlv/g7PPWXryS3rX1gMKYP6+EX+wxUSsdi9m3JyJ4+CIDyBNhAuGlcnn8Qm/dXKuZp/93roY4oHZObu0Vh59PjrNJ++dZ+7Dpmv1KmVo6Hq+TqiF6PhyOuTKIPhHOKs+5cs0vyIZusJ/KUzk3tr0uO+OvCDYvvuhlPTuyndjF8Qu67dOV71IuAWR68qakJv/vd75CamoqIiAj07t0bq1atQkvLj08rFkIgKysLSUlJiIiIwLhx43D48GEVS61dN5rlnxL97fnLbu0zNTbK4/sMVErHYnByZ8u/y3MzEBlq//MMlBuaLlGOJ2i2/+6VjotSnQwk52qvy25rtPmMJRU1kkESoHystEzuXKG3cwjJK6mokQySAO2cR7xB6Xzd0OT8cfPX61NS5wi1i+Azct+XK98jWVN9efCXXnoJr7/+Ot5++23ceuut+Pe//41HHnkEZrMZixcvBgCsWbMGa9euxVtvvYW+ffvixRdfxMSJE3H8+HGYTCaVP4G2hAbLx841Vxrd2ufQlC4YkGjC0XP1HttnoBqa0gXdTGE4X2/9ueNMYZg5MsUq7cgLU3xZNI+6qVsnh3naf/dDU7ogJSZC8iZHqU4Gkus3mmW3hdl8xlMXrkjmMxmDMTSli0fLFSjkzhV6O4c4qzw3w6kWfn+9uXWH3O8GAM5ekg6gSPl8bQxx7fzr6YfMtt+fuz1WWrmGOEPu+3L1e6QfqX7k9u3bh5///OfIyMhAr169cP/992PSpEn497//DaC1N2ndunVYsWIFpk+fjrS0NLz99tu4evUqNm/erHLptUeptfpYlX2g46xbEqW7NfXWypFXVGEXJAFAdX0jSipqVCiRdzjTetu+FVMPLcHhocGy22x7lOR6SeobmpFXVOHRcgUKtpS6ztFNq5aCJED5XFGl0KOrd0q9ss6MDvAEqbroqfqplWuIM+RGLiiNaCBlqvcojR07Fq+//jq+/vpr9O3bF1999RU+++wzrFu3DgBw6tQpVFVVYdKkSZa/MRqNSE9Px969e/Hoo4+qVHJtGprSBcZgAxqa7aeu1V274fZ+2crR6qvKS7LbTl24opneAmda8Nq3Yiq1BGulNTDRHC67zbZHSamX5KvKS3a9j3rAc4h7tBYMKVE6VyQo/P70Tul848zoAE9xVFdH947BvpM/uLxfrVxDnHG+Xjogkksnx1QPlJ599lnU1taif//+CA4ORnNzM1avXo1Zs2YBAKqqqgAA8fHxVn8XHx+P06dPS+6zoaEBDQ0Nlv/X1dV5qfTaU1JRIxkkAUBwkMHt/bKVo5VS67eW5lr8Z+G3DvO0b+VTavHTSmugUl2vb2iy+v/g5M6yk6t91cLrb9ijRI4onSv0NE/FVUrnJn+6Lrn7W9fTvM6IMOnberl0ckz1MDsvLw/vvPMONm/ejOLiYrz99tv4wx/+gLffftsqn8FgfZMuhLBLa5OTkwOz2Wx5JScne638WqPUsh/TgRs0ufkZSvM2tEip9VtLcy3O1jqeD9C+lU+pxU8rrYFKdd128dGZI1NgCpcequfLFl5/wh4lckQP5xFvUDo3+dN1yZ3fepI5XDMjNZzRWyYolEsnx1Q/czzzzDNYunQpHnzwQQwcOBBz587Fk08+iZycHABAQkICgB97ltpUV1fb9TK1WbZsGWpray2vykrlZYrpR0otcmc6MBlWbn6G0rwNLWq/sp0tLfUU1F93HAC3r2t6WPXuB4UbDttGn5KKGtljqJXj4Sq534eWfjfUMd5YtVUPlK7DStcsXxvW0/WAh0MuqaNUD5SuXr2KoCDrYgQHB1uWB09NTUVCQgIKCgos2xsbG1FYWIgxY8ZI7tNoNCI6OtrqRc5RanXrSO+P3PwMpXkbWjRzZApCg6V7QvXWU9C+rrWteucoXyBrbpF/ZJ3JaD0sQg9ztlwl9/vQ2++G5Hlj1VY9kLsOx0SG+tV8yGcm90c3k2sNI3rrcZYLDBkwuk/1QYvTpk3D6tWrkZKSgltvvRUlJSVYu3YtfvnLXwJobWnNzMxEdnY2+vTpgz59+iA7OxuRkZGYPXu2yqXXHqWWfbmhjs7g/IJWeUUVuCEzB0xP46gB69ZfPax6lxwTiW/OSwdAtqveKdUFvdWTNnyOEjmidK7Q23xYV8hdh8f3j/NxSRwrWjERL28/huLTNWhoakFxxSXF/Hq7x5Cbi8c5eu5TPVD6f//v/+G5557DggULUF1djaSkJDz66KP4/e9/b8mzZMkSXLt2DQsWLEBNTQ1GjRqFHTt28BlKXjA0pQtCgwy4IdH6HdKBxRw4v6CV3Kp3AxJMuhpHDVi3/uqhB2Xa4CTsPi79EFnbVe+Unrelt3rShs9RIke8NSJC6wLt+vzM5P4AgPzi7xwGSv76GbxF7jegleuoGlQPlEwmE9atW2dZDlyKwWBAVlYWsrKyfFYuvSqpqJEMkgDgWqP7Fxr2KLWS+7y3JOlveGj7nhE9zFH6/JsLsttse5SUnreVV1ThV8NhfIXnEHJEqXdRb/NhXRGovy1nepP9/TN4mtz1UivXUTUwxCQrSi37kWHuX2gCrcXKW3gcWnWOCLHqGdHDHKWzCouh2PYoKT1vS2mblvG3Q44o9S7qbT6sKwL1t+VMb7K/fwZPY4+S5/HIkRWlVoegDgy944pVrXgcWsVHW9+06GGOklLLpu1zlJTqg97qSptAbfUm31GqC6wn8gL1t+VM+fz9M3ga53J6HgMlsqLU6mDb6u0KrljVisehle0zufQwR0mpZdP2OUpK9UFvdaVNoLZ6k+8o1QXWE3mB+ttypnz+/hk8jXM5PU9fNYgcUmq9t51H4Qq2crTSy3FwdGKxbeVTqnd66FFqslkJUak+aK2uOEtu1TKuZkZtlHpb9daz4IpAHenAHiV7PE96HgMlsuKtHiW2crTSy3H4wwODFbfbtvIp1Ts99CiF2DxbS6k+aK2uOEtu1TKuZkZtLtQ3yG7TW8+CKwJ1pAN7lOzxPOl5+qpB5JDS6mMd6VEK1DHQnqaX1h5Hz/qx/d71sOqd0nMsrtusKDk4ubNsXn9v5fUWuVXLuJoZtVEawqu1c6wnBepIB2fOhXo7P/A5Sp7HQImsDE3pAmOw9KINHelRCtQx0J6ml9aeoSld8Fh6b9nttt+7Hla9u+PmWNltwuYnN3Nkiuzx8PdWXm+RW7WMq5lRG6UGF62dYz0pUEc6OHMu1Nv5Qe46o3T9IWXauAMhjympqEFDs/RzlNij1HF6au1ZOmUA+sVLX8hsv3c9rHr396/Oym672mB/E/d/HxwqmddRb51WBeo8CvKdWJNRdtuwnvp8ULMzAvX67EyP17Gqeh+UxH8Eau+gP2OgRFaUhi6wR6nj9NbaY7u6XRvb710Pq959/b1rF+zth6vs0uJMYVbPn9KTQJ1HQb4j1wMSHmLAM5P7+7g0gSNQr8/O9HjVXbvhg5L4j0DtHfRn/v0rIJ/jHCXv0ltrj7Pfux7mKJ25JD9HwrYlvKSiBq8XnrTLV13fiLyiCo+XLRDo7bdDrpM732QMSvJxSQJLoF6fnSlfcAee/xiIAvW79GcMlMhp7FHqOL219njie9dKj5KSL5ffbfV/pR62ryovebk0/klvvx1yHa8z7gnU4+ZM+eRGNWhVoH6X/oxHjqwo3aB1pEfpwOkal9K1Sm/zLJxt3VKqd1rpUXLFi/84IrtNq3XFkc++ueBSOukPW9PdE6jHzZny6W3VO73dY/gCAyWyojQEqiM9StUyz7eQS9eqEJlhAHLpgc7Z1i2leqeVHqXZtyU7nV6rMK5er3Nyaq7K9CjJpJP+sDXdPYF63Jwpn95WveNcTs/z718B+RXOUeq4w2dqXUoPdD/IDIuSS5eilR4ludWXpNLNEaGy+9HK8XBVZFiIS+mkP7zOuCdQj5szvSR6e37W5zI97HLp5BgDJbLivVXvpHtM5NK1Kkim50guPdA1t0gvNW+brodV7+RWX5JK/93UW2T3o5Xj4areMr2OcumkP4HaM6K2QD1uzvSS6O35WWcvST9mQy6dHPPvXwH5nFJrdUd6lEzh0i3kculapbfjILfikG260splWulBkfv9SKXr4Xi4Su45OHw+DrUJ1J4RtQXqvBZnVrzU2xwluc+rt+PgSQyUyIpSa3VHepSiw6WHx8ila1Wgtty5S27FIdt0pZXLtNKDIvf7kUrXw/Fw1TOT+yMi1PqzR4QG8fk4ZKG386unBOrcWWdWvNTbHCW5z6u34+BJPHuQFaVJ9fUNTW7v9/J16b+VS9cqvbV4Ovt5lVoutdKD4mzvGgAMTu4sux+tHA9XlVTU4NoN689+7UYLSir0tXImydPb+dVTqmTm8cil+wtnvle9zVEK1N5Bf8ZAiawMTekCuWlDQkjPN3FGJ5meI7l0rdJbi6ezn1dprLlWelCc7V0DgJkjU5ASEyGZXyvHw1Vy89iU5reRvujt/OopCTK9DXLp/sKZ71Vvc5S46p3n8exBVkoqatAkEw8ZDO53w5+/LN1FLpeuVXpr7XG2hVepl0QrPSiujh1fOP5myXStHA9Xyc1HcGaeAumD3s6vnjKuX5xL6f7Cme9Vb3NzeJ70PAZKZEWpddZkdL/352qj9BA7uXSt0ltrj7MtvEq9JFrpQXF17Pj2w1WS6Vo5Hq6Sm4/gzDwF0ge9nV89ZWhKFzyW3tsq7fH03hia4t8LpTjzvYYG+/c8K0/jedLz9DXuiRxSmqPUkVXvQoOCANh3gbem68ffvzormz59WA8fl8b7nO1RUqp3WulB+fiQdODz8aEqZE8fZJVWUlGDXcfOS+bXa8ug3FwDvc1BIHlsTXff0ikDMPnWBJy6cAWpsVF+HyQBzn2vegsQOE/P8xgokZWhKV1gDDagodl+/F1HVr2LiQrDD1ftnxcjN29Dqyp/uOpSeqBztkdpaEoXpMREoOIH+2c9aKUHpb5B+jlKUulKPbt6u/C3kZtroLc5CCTvxPfSD3WWSydrQ1O6BESA1MaZc6Hehl1ynp7n8ciRlZKKGskgCehYj5Irz5DRsugI6eclyaUHuh9kLmS26SUVNZJBEqCdHqWYKKPT6UqfWWlFPC1jSyk5UiPRGKeUToHNmd/+DZn7Ga3iPD3PY6BEVpRasjvSo+TKM2S0rH+CyaX0QNfcIn2Rsk1Xqnda6VF69h7p5/1Ipct95tCg1hXx9IgtpeRIl0jpBie5dApsXPXOHufpeR6vMGRFqSVb7jkwzmCPUiu9tYo7++wgPcxR+vybC06ny33mGy1AXlGFR8sVKJI6Sy+XLpdO+mMKlw6I5NIpsDnTS6LVa6scztPzPAZKZEWp9b4j84nYo9RKb63izj47qG2OkhSt9CidvSQ9tFAqXekzf1V5yVNFCih33BzrUjrpj97Or3rnTC+J3r57rnrnefqqQeSQUst+R1pune1Z0Dq99Sg5+3n1MEfJle9e6TPrday5bC+bRuoHddyxKulFG+TSKbA500ui1WurHL3dY/gCAyWyotSy35GWW7lnGejtGQd6a/F09vPqYY6SK9+90mfW61hz2XlbGqkf1HF116QXbZBLp8DmTC+JVq+tcvR2j+ELfnHkzpw5g4ceeghdu3ZFZGQkhgwZggMHDli2CyGQlZWFpKQkREREYNy4cTh8+LCKJdYub7XsX7wsfUKTS9cqva1Iw+co/cjZFQAB5eOhtE3L2KNEjsitCKnXlSK1jnOU7OntHsMXVA+UampqcMcddyA0NBT//Oc/ceTIEbzyyivo3LmzJc+aNWuwdu1avPbaaygqKkJCQgImTpyI+np2p3uat1r2g2SG2Mmla5XeVqRx5TlKE/p3k8yrlR4DZ1cAVNI5IiSgnnPiSexRIkdeeWAIIkKt60NEaBBeeWCIOgUir+IcJXt6u8fwBdVr0EsvvYTk5GRs2rQJt912G3r16oW77roLN910E4DW3qR169ZhxYoVmD59OtLS0vD222/j6tWr2Lx5s8ql1551O7+W3daRltv46HCX0rVKbyvSuDJeevKtCZJ5tdJjkBwT6XS6XIPFpWtNul31Tm+/HXLP0RemYMaw7ri5WxRmDOuOoy9MUbtI5CXO9K6Hhwb7oCT+g+dJz1M9UPrwww8xYsQI/OIXv0BcXByGDh2KN99807L91KlTqKqqwqRJkyxpRqMR6enp2Lt3rxpF1rTq+uuy2zrScqu35wfJ0duT4z0xL0crPQbTBic5na50A6DXVe+4mhM565UHhmDn0+PYk6RxSnOq2ySa9dUYy/Ok56l+B3Ly5Els3LgRffr0wfbt2/HYY4/hN7/5Df785z8DAKqqqgAA8fHxVn8XHx9v2WaroaEBdXV1Vi9yTpxJ/qTSkZZ9rsTSSm9PjndlXo7W56D8/auzLqXL0etYc469J6L2lOZUt9HbPQbvtTxP9UCppaUFw4YNQ3Z2NoYOHYpHH30Uv/rVr7Bx40arfAaD9VwWIYRdWpucnByYzWbLKzk52Wvl15rMu/vKbutIyz5XYmmltyfHuzIvZ/th6YYPrfQofS3TayiVrjRXUK9jzTn2nojaUzpPttHbPQbvtTxP9SOXmJiIW265xSptwIABqKhoHYefkNA6b8G296i6utqul6nNsmXLUFtba3lVVlZ6oeTa5K3Vx9jK0UpvT4539vlZJRU12HXsvGRerfQoXW9sdjpd6TNr5Xi4imPviag9Z86F52rlpxNoEXvePU/1QOmOO+7A8ePHrdK+/vpr9OzZEwCQmpqKhIQEFBQUWLY3NjaisLAQY8aMkdyn0WhEdHS01YucozTmlz1KHae34xAjc3K2TdfDc5TCw6QnFUulK31mrRwPV3HsPRG158y58PoN6QYqrWLPu+eFqF2AJ598EmPGjEF2djYeeOAB7N+/H2+88QbeeOMNAK1D7jIzM5GdnY0+ffqgT58+yM7ORmRkJGbPnq1y6bXHW89RYitHK731rDn7eZV6BbTSg9LJKH26lUpnj5I9vf12iEiZM+dCvZ0f2PPueaoHSiNHjsT777+PZcuWYdWqVUhNTcW6deswZ84cS54lS5bg2rVrWLBgAWpqajBq1Cjs2LEDJpO+VkzzBaWW/bOXlCdNKgmRGYIll65VeutRcvbzKvUKaKUHxdneNYA9SlL09tshImXOnAv1dn7Q28q6vqB6oAQAU6dOxdSpU2W3GwwGZGVlISsry3eF0imlFpqqDoz1lfvbjuwzEOmtVVzuGRa26YOTO2Pzfum5hFrpQfHECoCOtmmZ3n47RKTMmXOh3p6jpLeVdX1BX6E2OaTUQpPQgecRyP1tR/YZiPTWKi73DAvb9JkjU2AKl76gaaUHxZUVANmjZE9vvx0iUubMuVBvz1HS28q6vsArDFlRWvUuqbPyg92UNMncJMqla5Xe5modOF3jVHpJRQ3qr0tPutVKD8rg5M5Op3tr9clAxh4lImrPmXk3elv1rk+89JQUuXRyjIESWfHWqndcsaqV3lakqbkq873bpOth1btXHhiCiFDrzxIRGoRXHhhil9dbv8NAxh4lImrPmfsHrnqnnE6O8QpDVry16h1bg1vpbUUaZ+co6aUH5egLUzBjWHfc3C0KM4Z1x9EXpkjmU/odarWuOKK33lgiUubMb5/3GMrp5JhfLOZA/sNbLftsDW6lt5617p0jJG/4u9sM42zrQZHKq7UeFKkeJFtKv0Ot1hVH2FJKRO0589vnPYZyOjmmrxpEDnlrtS32KLXS23Fw9vN6qyczUCl9Zr32oLCllIjaUxqJ0Ear11Y5ervH8AUGSmTFW6ttsUepld6Og7OfVw9zlFyh9Jn12oPCllIiam9oShckOVjVTqvXVjl6u8fwBR45suKtuSKcX9BKb609zn5evcxRcpZSL4kzrahaJLd6ld5WtSKiHzl6xIhWr61yeK/leQyUyIq3Vtvi/IJWemvtcfbzcpU3a3K9JAMSTBia0sXHpfEPcqtX6W1VKyL6kaNrp1avrXJ4r+V5+qpB5JC35opwfkEr9ihJp3OVN2tyx+2WpGgfl8R/HK+qdymdiLTP0bVTq9dWObzX8jwGSmTFW3NFOL+gFXuUpNO5yps1vdUTZ1y90eRSOhFpH3uUrPFey/P0VYPIIa565116Ow4/yJycbdO5yps1vdUTZ5gjpOuBXDoRaR97lKzx2uF5DJTICle98y69HYfmFuFUOld5s6a3euKMu/rHuZRORNrHHiVrvHZ4Ho8cWfHW6mNs5WiltxVpgoMMTqVz1TtreqsnzuAxISJbcqMW2oSHBvuoJP6B50nPY6BEVoamdMGE/t0kt7FHqeP0tiJNjMzJ2Tadq95Z01s9cQaPCRHZkhu10CbRwfLhWhMi0zgpl06O6e8OhBwakCi9slZHVk3hM1Ba6W1FGk+seqfHHiW91RNn8JgQka1GB9eHYzpbFbNK5p5KLp0cY6BEdryxagqfgdJKbyvSeGLVu7OXpAMoLdNbPXEGjwkR2QpzMOKg7toNH5XEP8g9gNfRg3lJHgMlsuON+URy44T1Nn5Yb3O1nP28SnOU9NgSprd64gweEyKyVd+g/HgAuXmyWtUkMxRRLp0cY6BEdrwxnyg0WPpkJZeuVXqbq+Xs5x2a0gXx0UbJvHpsCdNbPXEGjwkR2RJCOQCQmyerVex59zxeYciON1pua65Kd3/LpWuV3lrFne1JLKmowfd1DZJ5kzpLL/KgZXqrJ87gMSEiW45GpXDUinI6OcZAiex4o+W2S2SoS+laVX9dOjCUSw90cisO2aYrzVHS46p37D2xx2NCRLa6O2hI09uqdzxPeh6PHNnxxjr8pnDpgEguXav01rPm7GqHfI6SNbYK2huc3NmldCLSvpMKjWyA/lbW5XOUPI+BEtnxxvNK2MrRSm89a86udsjnKFnj78XezJEpGJJstkobmmzGzJEpKpWIiNR2tVF5MQe9razL5815nn6vuiTLG88r+fhQlUvpWqW3nrVhPbs4la70HCU9PieHvSfSPlg4Fi/NGIjZtyXjpRkD8f7CsWoXiYhU1CfOpLjdUY+T1vB5c57HQInseGPVlPoGmbk5Mulapbeegmcm90c3k3WXf5wpDM9M7m+VpjRHSY+r9cj1krD3pPUYZE8fxGNBRMhfcIfidkc9TlrDVe88T5t3Z9Qh3pgfkWiWHlYll65VeuwpKFoxEQvH34TRvWOwcPxN2L9iol0epTlKehxb/fRfSl1KJyLSq/LcDESGSt/OOupx0hpn5wWT8xgokR1v9HrsWTLBpXSt0us8i2cm98d7vx5t15PkDD2Orf6q8pJL6UREenbkhSmS6Y56nLTG2XnB5DwGSmTHW6umlOdmICUmAqHBQEpMBMpzMzq0v0DFeRb2lIbe6XHVOz32PBIRdUR5bgaGpXSGKTwYw1I66/Iew9l5weS8ELULQP7Hm6um6K0HSc7MkSma70VyhdLQOz2uevfKA0PwUdk5XLvxY5AYERqEVx4Yol6hiIj8nN56kGw9M7k//vLvSpyv/3FOktS8YHIeAyWyw1VTyJ/osUcJAI6+MAVP/6UUX1VewuDkzgySiIjIoaIVE/Hy9mMoPl2DYT27MEjqIL9qqs3JyYHBYEBmZqYlTQiBrKwsJCUlISIiAuPGjcPhw4fVK6QOcNUU8jWloXd67FFq88oDQ7Dz6XEMkoiIyGkdmRdM1vzmDqSoqAhvvPEGBg0aZJW+Zs0arF27Fq+99hqKioqQkJCAiRMnor6+XqWSah+f7Ey+pjT0jj2ZREREpAa/CJQuX76MOXPm4M0330SXLj9OOBNCYN26dVixYgWmT5+OtLQ0vP3227h69So2b96sYom1jU92Jl8bmtIF4aEGyW3sySQiIiI1+EWgtHDhQmRkZODuu++2Sj916hSqqqowadIkS5rRaER6ejr27t0ru7+GhgbU1dVZvch5f//qrEvpRB2VV1SB6zeE5LZjVew9JiIiIt9TfTGHLVu2oLi4GEVFRXbbqqqqAADx8fFW6fHx8Th9+rTsPnNycvD88897tqA6UvnDVZfSiTpK6flAdddu+K4gRERERP9L1R6lyspKLF68GO+88w7Cw8Nl8xkM1kNyhBB2ae0tW7YMtbW1lldlZaXHyqwHfIYL+doHJWdkt7HeERERkRpUDZQOHDiA6upqDB8+HCEhIQgJCUFhYSFeffVVhISEWHqS2nqW2lRXV9v1MrVnNBoRHR1t9SLnvfLAEESEWlcNPsOFvKn984Jssd4RERGRGlQNlO666y6UlZWhtLTU8hoxYgTmzJmD0tJS9O7dGwkJCSgoKLD8TWNjIwoLCzFmzBgVS659R1+YghnDuuPmblGYMaw7jr4wRe0ikYZJz04iIiIiUo+qc5RMJhPS0tKs0qKiotC1a1dLemZmJrKzs9GnTx/06dMH2dnZiIyMxOzZs9Uosq6wJZ98JdgANEtES8HyI2yJiIiIvEr1xRwcWbJkCa5du4YFCxagpqYGo0aNwo4dO2AymdQuGhF5iFSQpJRORERE5G0GIYTmb0Xq6upgNptRW1vL+UpEfqjX0m2y28pzM3xYEiIiItI6Z2MDv3iOEhERERERkT9hoERERERERGSDgRIREREREZENBkpEpDq5eUicn0RERERqYaBERH7BNihikERERERq8vvlwYlIPxgcERERkb9gjxIREREREZENBkpEREREREQ2GCgRERERERHZYKBERERERERkg4ESERERERGRDQZKRERERERENhgoERERERER2WCgREREREREZIOBEhERERERkQ0GSkRERERERDYYKBEREREREdlgoERERERERGSDgRIREREREZENBkpEREREREQ2GCgRERERERHZYKBERERERERkg4ESERERERGRDQZKRERERERENhgoERERERER2WCgREREREREZIOBEhERERERkQ0GSkRERERERDYYKBEREREREdlQPVDKycnByJEjYTKZEBcXh3vvvRfHjx+3yiOEQFZWFpKSkhAREYFx48bh8OHDKpWYiIiIiIi0TvVAqbCwEAsXLsQXX3yBgoICNDU1YdKkSbhy5Yolz5o1a7B27Vq89tprKCoqQkJCAiZOnIj6+noVS05ERERERFplEEIItQvR3vnz5xEXF4fCwkLceeedEEIgKSkJmZmZePbZZwEADQ0NiI+Px0svvYRHH33U4T7r6upgNptRW1uL6Ohob38EIiIiIiLyU87GBqr3KNmqra0FAMTExAAATp06haqqKkyaNMmSx2g0Ij09HXv37lWljEREREREpG0hahegPSEEnnrqKYwdOxZpaWkAgKqqKgBAfHy8Vd74+HicPn1acj8NDQ1oaGiw/L+urs5LJSYiIiIiIi3yqx6lRYsW4eDBg3jvvffsthkMBqv/CyHs0trk5OTAbDZbXsnJyV4pLxERERERaZPfBEpPPPEEPvzwQ+zevRs9evSwpCckJAD4sWepTXV1tV0vU5tly5ahtrbW8qqsrPRewYmIiIiISHNUD5SEEFi0aBHy8/Oxa9cupKamWm1PTU1FQkICCgoKLGmNjY0oLCzEmDFjJPdpNBoRHR1t9SIiIiIiInKW6nOUFi5ciM2bN+Nvf/sbTCaTpefIbDYjIiICBoMBmZmZyM7ORp8+fdCnTx9kZ2cjMjISs2fPVrn0RERERESkRaoHShs3bgQAjBs3zip906ZNmD9/PgBgyZIluHbtGhYsWICamhqMGjUKO3bsgMlk8nFpiYiIiIhID/zuOUrewOcoEREREREREMDPUSIiIiIiIlIbAyUiIiIiIiIbDJSIiIiIiIhsMFAiIiIiIiKywUCJiIiIiIjIBgMlIiIiIiIiGwyUiIiIiIiIbDBQIiIiIiIissFAiYiIiIiIyAYDJSIiIiIiIhsMlIiIiIiIiGwwUCIiIiIiIrLBQImIiIiIiMgGAyUiIiIiIiIbDJSIiIiIiIhsMFAiIiIiIiKywUCJiIiIiIjIBgMlIiIiIiIiGwyUiIiIiIiIbDBQIiIiIiIissFAiYiIiIiIyAYDJSIiIiIiIhsMlIiIiIiIiGwwUCIiIiIiIrLBQImIiIiIiMgGAyUiIiIiIiIbDJSIiIiIiIhsMFAiIiIiIiKywUCJiIiIiIjIRsAEShs2bEBqairCw8MxfPhwfPrpp2oXiYiIiIiINCogAqW8vDxkZmZixYoVKCkpwU9+8hNMmTIFFRUVaheNqEPyiiqwPP8g8opYl4mIiIj8iUEIIdQuhCOjRo3CsGHDsHHjRkvagAEDcO+99yInJ8fh39fV1cFsNqO2thbR0dHeLCrpXElFDU5duILU2CgMTemimPfe9Z+htLLW8v8hyWZ8sHCst4voUyUVNfjkeDUAYFy/OIfHRC9cqSf+qqSiBlv2VyDv3985zFuemyG7La+oAv86+j12HKl2+r2V9keBI6+oAl9VXsLg5M6YOTJF7eKQm9w5n/Vauk1xu9xvvP3f8TxAHeFsbOD3gVJjYyMiIyPx17/+Fffdd58lffHixSgtLUVhYaHDfTBQIl/I/edRvF540vL/x9J7Y+mUAZJ584oq8OzWMrv0l2YM1MwNg+3xAJSPiV64Uk/8ldR364jUTY1tY0FH90eBQw8NRXrgzvnMUZDUxvY3LvV3PA+Qu5yNDfx+6N2FCxfQ3NyM+Ph4q/T4+HhUVVVJ/k1DQwPq6uqsXkTeVFJRY3fj+HrhSZRU1EjmX1fwtUvpgUbqeADKx0QPXK0n/kjuu3XE9iYnr6jC7SBJan8UOKS++9LKWg5BDjDunM9c+d22zyv3dzwPkLf5faDUxmAwWP1fCGGX1iYnJwdms9nySk5O9kURScdOXbjiUvrlhiaX0gON3Od2tE3rXK0n/shTZf2q8pJH9kOBR+67Z50ILFo4nxE54veBUmxsLIKDg+16j6qrq+16mdosW7YMtbW1lldlZaUviko6lhob5VL6iF4xLqUHGrnP7Wib1rlaT/yRp8o6OLmzR/ZDgUfuu2edCCxaOJ8ROeL3gVJYWBiGDx+OgoICq/SCggKMGTNG8m+MRiOio6OtXkTeNDSlCx5L722V9nh6b9mJrZseuQ3BNh2iwYbWdC2QOh6A8jHRA1friT+S+24dsZ1LMHNkCoYkm90uB+cmBC6p735oslkz8zP1wp3zmSu/2/Z55f6O5wHyNr9fzAFoXR587ty5eP311zF69Gi88cYbePPNN3H48GH07NnT4d9zMQfyFVdX/3lk034cPluLW5PMmgmS2uOqd9K46t2PuOqdfnHVO23gqncUiDSz6l2bDRs2YM2aNTh37hzS0tLwxz/+EXfeeadTf8tAiYiIiIiIAA0GSh3BQImIiIiIiAANLQ9ORERERETkawyUiIiIiIiIbISoXQBfaBtdyAfPEhERERHpW1tM4GgGki4Cpfr6egDgg2eJiIiIiAhAa4xgNss/qkIXizm0tLTg7NmzMJlMMBgMjv/Ai+rq6pCcnIzKykouLEF2WD9IDusGKWH9IDmsG6REr/VDCIH6+nokJSUhKEh+JpIuepSCgoLQo0cPtYthhQ/CJSWsHySHdYOUsH6QHNYNUqLH+qHUk9SGizkQERERERHZYKBERERERERkg4GSjxmNRqxcuRJGo1HtopAfYv0gOawbpIT1g+SwbpAS1g9luljMgYiIiIiIyBXsUSIiIiIiIrLBQImIiIiIiMgGAyUiIiIiIiIbDJSIiIiIiIhsMFDysQ0bNiA1NRXh4eEYPnw4Pv30U7WLRB2Qk5ODkSNHwmQyIS4uDvfeey+OHz9ulUcIgaysLCQlJSEiIgLjxo3D4cOHrfI0NDTgiSeeQGxsLKKiovCzn/0M3333nVWempoazJ07F2azGWazGXPnzsWlS5es8lRUVGDatGmIiopCbGwsfvOb36CxsdErn51ck5OTA4PBgMzMTEsa64a+nTlzBg899BC6du2KyMhIDBkyBAcOHLBsZ/3Qp6amJvzud79DamoqIiIi0Lt3b6xatQotLS2WPKwb+rFnzx5MmzYNSUlJMBgM+OCDD6y2+1tdKCsrQ3p6OiIiItC9e3esWrUKAb1unCCf2bJliwgNDRVvvvmmOHLkiFi8eLGIiooSp0+fVrto5KbJkyeLTZs2iUOHDonS0lKRkZEhUlJSxOXLly15cnNzhclkElu3bhVlZWVi5syZIjExUdTV1VnyPPbYY6J79+6ioKBAFBcXi/Hjx4vBgweLpqYmS5577rlHpKWlib1794q9e/eKtLQ0MXXqVMv2pqYmkZaWJsaPHy+Ki4tFQUGBSEpKEosWLfLNwSBZ+/fvF7169RKDBg0SixcvtqSzbujXDz/8IHr27Cnmz58vvvzyS3Hq1Cmxc+dO8c0331jysH7o04svvii6du0q/vGPf4hTp06Jv/71r6JTp05i3bp1ljysG/rx0UcfiRUrVoitW7cKAOL999+32u5PdaG2tlbEx8eLBx98UJSVlYmtW7cKk8kk/vCHP3jvAHkZAyUfuu2228Rjjz1mlda/f3+xdOlSlUpEnlZdXS0AiMLCQiGEEC0tLSIhIUHk5uZa8ly/fl2YzWbx+uuvCyGEuHTpkggNDRVbtmyx5Dlz5owICgoSH3/8sRBCiCNHjggA4osvvrDk2bdvnwAgjh07JoRoPZkGBQWJM2fOWPK89957wmg0itraWu99aFJUX18v+vTpIwoKCkR6erolUGLd0Ldnn31WjB07VnY764d+ZWRkiF/+8pdWadOnTxcPPfSQEIJ1Q89sAyV/qwsbNmwQZrNZXL9+3ZInJydHJCUliZaWFg8eCd/h0DsfaWxsxIEDBzBp0iSr9EmTJmHv3r0qlYo8rba2FgAQExMDADh16hSqqqqsvnej0Yj09HTL937gwAHcuHHDKk9SUhLS0tIsefbt2wez2YxRo0ZZ8tx+++0wm81WedLS0pCUlGTJM3nyZDQ0NFgN5yHfWrhwITIyMnD33XdbpbNu6NuHH36IESNG4Be/+AXi4uIwdOhQvPnmm5btrB/6NXbsWPzrX//C119/DQD46quv8Nlnn+GnP/0pANYN+pG/1YV9+/YhPT3d6uG1kydPxtmzZ1FeXu75A+ADIWoXQC8uXLiA5uZmxMfHW6XHx8ejqqpKpVKRJwkh8NRTT2Hs2LFIS0sDAMt3K/W9nz592pInLCwMXbp0scvT9vdVVVWIi4uze8+4uDirPLbv06VLF4SFhbGOqWTLli0oLi5GUVGR3TbWDX07efIkNm7ciKeeegrLly/H/v378Zvf/AZGoxEPP/ww64eOPfvss6itrUX//v0RHByM5uZmrF69GrNmzQLAcwf9yN/qQlVVFXr16mX3Pm3bUlNT3fmYqmKg5GMGg8Hq/0IIuzQKTIsWLcLBgwfx2Wef2W1z53u3zSOV35085BuVlZVYvHgxduzYgfDwcNl8rBv61NLSghEjRiA7OxsAMHToUBw+fBgbN27Eww8/bMnH+qE/eXl5eOedd7B582bceuutKC0tRWZmJpKSkjBv3jxLPtYNauNPdUGqLHJ/Gwg49M5HYmNjERwcbNcCU11dbRehU+B54okn8OGHH2L37t3o0aOHJT0hIQEAFL/3hIQENDY2oqamRjHP999/b/e+58+ft8pj+z41NTW4ceMG65gKDhw4gOrqagwfPhwhISEICQlBYWEhXn31VYSEhFi1srXHuqEPiYmJuOWWW6zSBgwYgIqKCgA8d+jZM888g6VLl+LBBx/EwIEDMXfuXDz55JPIyckBwLpBP/K3uiCVp7q6GoB9r1egYKDkI2FhYRg+fDgKCgqs0gsKCjBmzBiVSkUdJYTAokWLkJ+fj127dtl1K6empiIhIcHqe29sbERhYaHlex8+fDhCQ0Ot8pw7dw6HDh2y5Bk9ejRqa2uxf/9+S54vv/wStbW1VnkOHTqEc+fOWfLs2LEDRqMRw4cP9/yHJ0V33XUXysrKUFpaanmNGDECc+bMQWlpKXr37s26oWN33HGH3aMEvv76a/Ts2RMAzx16dvXqVQQFWd+eBQcHW5YHZ92gNv5WF0aPHo09e/ZYLRm+Y8cOJCUl2Q3JCxi+WzeC2pYH/9Of/iSOHDkiMjMzRVRUlCgvL1e7aOSmxx9/XJjNZvHJJ5+Ic+fOWV5Xr1615MnNzRVms1nk5+eLsrIyMWvWLMmlO3v06CF27twpiouLxYQJEySX7hw0aJDYt2+f2Ldvnxg4cKDk0p133XWXKC4uFjt37hQ9evTgMq5+pP2qd0KoUzd+/etfCwAiMTHRY3Vj27ZtYuXKlZLbVq9ebbecrZatX79ebNq0yWG+/fv3i5CQELF69Wpx4sQJ8e6774rIyEjxzjvvWPLw3KFP8+bNE927d7csD56fny9iY2PFkiVLLHlYN/Sjvr5elJSUiJKSEgFArF27VpSUlFgeLeNPdeHSpUsiPj5ezJo1S5SVlYn8/HwRHR3N5cHJeevXrxc9e/YUYWFhYtiwYZZlpCkwAZB8tb9RamlpEStXrhQJCQnCaDSKO++8U5SVlVnt59q1a2LRokUiJiZGREREiKlTp4qKigqrPBcvXhRz5swRJpNJmEwmMWfOHFFTU2OV5/Tp0yIjI0NERESImJgYsWjRIqtlOkldtoGSGnUjJCREABD/5//8H4/VjYULFwq5dreoqCgxb948j7xPILj11ltFenq6U3n//ve/i7S0NGE0GkX//v3FG2+8YbWd5w59qqurE4sXLxYpKSkiPDxc9O7dW6xYsUI0NDRY8rBu6Mfu3bsl7zPazqv+VhcOHjwofvKTnwij0SgSEhJEVlZWwC4NLoQQBiEC+XG5RETkiqysLDz//PM4f/48YmNjPbLPRYsWYf369ZJPX+/UqRPuv/9+vPXWW27tu7m5GU1NTVbLzfqztLQ0xMbG4pNPPlG7KERE1EGco0REpEOVlZWYPn06oqOjYTab8dBDD+H8+fNWefLy8jBp0iQkJiYiIiICAwYMwNKlS3HlyhVLnvnz52P9+vUAWlc1anuVl5fDYDDgypUrePvtty3p48aNky1T29+sWbMGL774IlJTU2E0GrF7924Arc8eGj16NCIjI2EymTBx4kTs27fPbj+fffYZ7rrrLphMJkRGRmLMmDHYtm2bVZ633noLBoMBu3btwq9+9St07doV0dHRePjhh3HlyhVUVVXhgQceQOfOnZGYmIjf/va3uHHjhuIx7dWrFw4fPozCwkLL520/Lr+urg6//e1vkZqairCwMHTv3h2ZmZlWx7PtOC5atAibNm1Cv379EBERgREjRuCLL76AEAIvv/wyUlNT0alTJ0yYMAHffPON1d+PGzcOaWlp+PTTT3H77bcjIiIC3bt3x3PPPYfm5mbFz0BERD/i8uBERDp033334YEHHsBjjz2Gw4cP47nnnsORI0fw5ZdfIjQ0FABw4sQJ/PSnP0VmZiaioqJw7NgxvPTSS9i/fz927doFAHjuuedw5coV/M///I9V0JKYmIh9+/ZhwoQJGD9+PJ577jkAQHR0tMOyvfrqq+jbty/+8Ic/IDo6Gn369MHmzZsxZ84cTJo0Ce+99x4aGhqwZs0ajBs3Dv/6178wduxYAEBhYSEmTpyIQYMG4U9/+hOMRiM2bNiAadOm4b333sPMmTOt3us//uM/MH36dGzZsgUlJSVYvnw5mpqacPz4cUyfPh2//vWvsXPnTrz00ktISkrCU089JVvu999/H/fffz/MZjM2bNgAAJaesKtXryI9PR3fffcdli9fjkGDBuHw4cP4/e9/j7KyMuzcudNq+dx//OMfKCkpQW5uLgwGA5599llkZGRg3rx5OHnyJF577TXU1tbiqaeewowZM1BaWmr191VVVXjwwQexdOlSrFq1Ctu2bcOLL76ImpoavPbaaw6/AyIiAhdzICLSk5UrVwoA4sknn7RKf/fddwUAq8UE2mtpaRE3btwQhYWFAoD46quvLNs8NUfp1KlTAoC46aabRGNjoyW9ublZJCUliYEDB4rm5mZLen19vYiLixNjxoyxpN1+++0iLi5O1NfXW9LaJiH36NHDMlZ+06ZNAoB44oknrMpw7733WiZMtzdkyBAxbNgwh59Bbo5STk6OCAoKEkVFRVbp//M//yMAiI8++siSBkAkJCSIy5cvW9I++OADAUAMGTLEarz/unXrBABx8OBBS1p6eroAIP72t79ZvdevfvUrERQUZJkETkREyjj0johIh+bMmWP1/wceeAAhISGWYW4AcPLkScyePRsJCQkIDg5GaGgo0tPTAQBHjx71Wtl+9rOfWXq1AOD48eM4e/Ys5s6da7VscqdOnTBjxgx88cUXuHr1Kq5cuYIvv/wS999/Pzp16mTJFxwcjLlz5+K7776zW5J76tSpVv8fMGAAACAjI8Muve1J9+74xz/+gbS0NAwZMgRNTU2W1+TJk2EwGOzmNI0fPx5RUVF25ZoyZYpVz1Fbum3ZTCYTfvazn1mlzZ49Gy0tLdizZ4/bn4OISE849I6ISIfaHlTYJiQkBF27dsXFixcBAJcvX8ZPfvIThIeH48UXX0Tfvn0RGRlpmdt07do1r5UtMTHR6v9tZbJNB4CkpCS0tLSgpqYGonUlV9l87ffVJiYmxur/YWFhsunXr1938ZP86Pvvv8c333xjFQC2d+HCBbfLBcCubFIPd2z7zm2PARERSWOgRESkQ1VVVejevbvl/01NTbh48SK6du0KANi1axfOnj2LTz75xNKLBACXLl3yetna95gAsJSp/YMO25w9exZBQUHo0qULhBAICgqSzQfAYyv9uSo2NhYRERH47//+b9ntnvT999/bpVVVVQH48XgSEZEyDr0jItKhd9991+r/f/nLX9DU1GRZla4tWLFdlvs///M/7fbVlkeql8loNHa496lfv37o3r07Nm/ebLUE+ZUrV7B161bLSnhRUVEYNWoU8vPzrd6zpaUF77zzDnr06IG+fft2qCyOyH3eqVOn4ttvv0XXrl0xYsQIu5enn1pfX1+PDz/80Cpt8+bNCAoKwp133unR9yIi0ir2KBER6VB+fj5CQkIwceJEy6p3gwcPxgMPPAAAGDNmDLp06YLHHnsMK1euRGhoKN5991189dVXdvsaOHAgAOCll17ClClTEBwcjEGDBiEsLAwDBw7EJ598gr///e9ITEyEyWRCv379XCprUFAQ1qxZgzlz5mDq1Kl49NFH0dDQgJdffhmXLl1Cbm6uJW9OTg4mTpyI8ePH47e//S3CwsKwYcMGHDp0CO+9955db5WnDRw4EFu2bEFeXh569+6N8PBwDBw4EJmZmdi6dSvuvPNOPPnkkxg0aBBaWlpQUVGBHTt24Omnn8aoUaM8Vo6uXbvi8ccfR0VFBfr27YuPPvoIb775Jh5//HGkpKR47H2IiLSMgRIRkQ7l5+cjKysLGzduhMFgwLRp07Bu3TrLnJeuXbti27ZtePrpp/HQQw8hKioKP//5z5GXl4dhw4ZZ7Wv27Nn4/PPPsWHDBqxatQpCCJw6dQq9evXC//2//xcLFy7Egw8+aFki252Hsc6ePRtRUVHIycnBzJkzERwcjNtvvx27d+/GmDFjLPnS09Oxa9curFy5EvPnz0dLSwsGDx6MDz/80G7hBm94/vnnce7cOfzqV79CfX09evbsifLyckRFReHTTz9Fbm4u3njjDZw6dQoRERFISUnB3Xff7fEepYSEBKxfvx6//e1vUVZWhpiYGCxfvhzPP/+8R9+HiEjLDEJIPEqdiIiIAtK4ceNw4cIFHDp0SO2iEBEFNM5RIiIiIiIissFAiYiIiIiIyAaH3hEREREREdlgjxIREREREZENBkpEREREREQ2GCgRERERERHZYKBERERERERkQxcPnG1pacHZs2dhMpm8/lR2IiIiIiLyX0II1NfXIykpCUFB8v1GugiUzp49i+TkZLWLQUREREREfqKyshI9evSQ3a6LQMlkMgFoPRjR0dEql4aIiIiIiNRSV1eH5ORkS4wgRxeBUttwu+joaAZKRERERETkcEqO6os55OTkYOTIkTCZTIiLi8O9996L48ePW+WZP38+DAaD1ev2229XqcRERERERKR1qgdKhYWFWLhwIb744gsUFBSgqakJkyZNwpUrV6zy3XPPPTh37pzl9dFHH6lUYiIiIiIi0jrVh959/PHHVv/ftGkT4uLicODAAdx5552WdKPRiISEBF8Xj4iIiDSmpKIGpy5cwW//8hVaAAQbgG9zMtQuFhH5GdUDJVu1tbUAgJiYGKv0Tz75BHFxcejcuTPS09OxevVqxMXFSe6joaEBDQ0Nlv/X1dV5r8Dk93ot3WaXVp7LCyIRkR7kFVXgd++X4UaLfJ5m8eO1wl+uD7bXLtty2W5nsEfkeQYhhFC7EG2EEPj5z3+OmpoafPrpp5b0vLw8dOrUCT179sSpU6fw3HPPoampCQcOHIDRaLTbT1ZWFp5//nm79NraWi7mEABe3n4MxadrMKxnFzwzuT8A4Om/lGJr8RmPvo+/XAwf2bQfh8/W4tYkMzY9cpvaxSEfYQBP5F03LduGZjfvcNT+LUqdH1yhdvmJ/F1dXR3MZrPD2MCvAqWFCxdi27Zt+OyzzxTXND937hx69uyJLVu2YPr06XbbpXqUkpOTGSj5gbbhDqmxURia0sVuu+3FIQhAcBAUWwI7Qu2LCVsE9UnpJkjtOkmkBR0NNAD1foueKDvAcwmREmcDJb8ZevfEE0/gww8/xJ49exSDJABITExEz549ceLECcntRqNRsqeJ1JX7z6N4vfCk5f/GYAMaHDT3tQBo8VKQpKa8ogo8u7XMLr1ZtPYwsWdJuxzdBPVauo03OEQdcNMyzwQaapj8x0KP7YvnEqKOUz1QEkLgiSeewPvvv49PPvkEqampDv/m4sWLqKysRGJiog9KSJ5QUlFjFSQBcBgk+UKf5dtwIrv1QjJ9w+c4UV2Py9ebIQBEG4Nx8Pl7OvweL28/hvW7v7X8f0iyGaWVtbL5/13+Q4ffk/yTsy3FbcHy038pxVeVlzA4uTNeeWCIdwtH5KLeS7ehfTuWv9yUe+rScueaXdizZIJnduak499f9uj+GCwRdYzqQ+8WLFiAzZs3429/+xv69etnSTebzYiIiMDly5eRlZWFGTNmIDExEeXl5Vi+fDkqKipw9OhRh0/UBZzvXiPvuT17J6rqGhxn9EMduciMXF2A8/WNLv1NEICTvLBpkitDaiJCg3Ct3ZjTiNAgHH1hijeKReQyubocGmzAzwYnqRbYD1u1Az9cveGx/fk6yPDUsDtbDJaIrAXM0LuNGzcCAMaNG2eVvmnTJsyfPx/BwcEoKyvDn//8Z1y6dAmJiYkYP3488vLynAqSyHlyJ2hPnGADNUgC3G+Rc/eCp8GRhuSGazYT867daEGvpdsQGgRLLyiRGnornNtuNAtsLT6Dj8rOqRLYezJI8jbbhXy8FSQBnu9Zal9Wqf1KbU9dug1SLfMM4sifqd6j5Ata7lFy5WT10oyBmDkyxS7P5D8WOuzu7+iJzJsXAF9pfwwcrVTHFYtIiqd/B6wnpAZn67EBwKncDKv8C8ffZFnN1Bu8ca3xxu/MdkW+YIPnhgzK8cTncGYhGne+A57LyNcCctU7b/GnQCmvqMIy58A2aLENWJROOuEhBlxvcv+rMwDoG9+pw+Ohy3MzrOZRPHR7T9y3YW+H9unPym0u+oD9SnWBvNoSeZc3b+IcNZoQeUpH63E3UxiKVkz0UGms+aJRLpAbDjtSdm+Xm+ct8iUGSu34S6B07/rPrCbxD0k244OFYwFoo8dFz8b362bpWWKgRFIe2bQfu4+f99n7sQ6Rt3jiHCfVs+SJYN+X11Jnh5zJbVeDPx9XnrPIlxgoteMPgZLcctBEtkKCgG84B0VzbFcI8wXeeJCnePuh3554ALMaQYgrn0HtIAlw75zgq3LzfEW+5GxsEOTDMunaivcZJJFzZgxTfo4YBSY1FunwhxszCmwvbz+GXku3eTxIak+unrpSf9Wq623v64nP4AslFTVqF0FSR3q62l5E3qD6qnd60cSlzPyCyRiM+oZmtYuh6OLlwF0hkPwPn6NC7nLn8QaucKZu5hVVSC5C1BExkaEo/v0kyfK4w5mHSPtC24qYSu/3yfFqDE3p4tT++izfhhs+undpK7Mr5yrbz9lWnzhfkzyJgRJpigGQXH40PDQIz//sVswcmeL3LU9115vULgL5mNQiIWrjzYa+vbz9mFeDpDaO6v2zW8skAyXbVeOc0X4uaaAZltIZZWcuwRgSjHljeuHI2Trs+fo8mgXQydia5sxqglW11516PzV76Jw53zjbg8eGIuooBkoUcILQOowp2hiMg8/fo3ZxPC46nD9L8ixXbxZ4s0Hrd3+rdhEsbOufOzfxd/fvhv+aH5hB0oxh3V16gG9HG176LFe30cbR+cbVz+bL85c7z5dyxfQNn+NEdT36xJmQv+AO9wpJLuEcJfILw1I6Y+0Dg/HSjIFY+8BgGCTyLBx/E8pzM3AyNwPluRluB0nOnJzUvCns2smo2nuTd/hbb5GSQJlrQd7jj991vxUfAXC/bM701PtrY4ArQVKbmSPcn+vqq+F27vDW8EhPkGpgap8mtd3V/RdXXEL99WYUV1zyy9+pFrHpmlQnNRxiuh8saNDPA8+ZAlx/CB/nKOmTt4ffeaJVlT1LpJaGZtGh34ezPfX+NgzW1783f/rstvyhbO2fG9k+gFUqm6NtKTERqK6/jp4xUdj+ZLpkvukbPpdNd6Vn6em/lOIfX51FsxAY1KMze6WcwB4lH4kM5aGWo8aYcaWLT9s2uROWu+/j7AWPc5S0xR8u7m3arxDl7kpR/vR5yPM6+v0GSw0H8AOu9NTLnau9EbQ4cy1yx8nz0o18cukAMCp7p1vv5U45hyabPbq/jnh5+zHctKz1fDhs1Q7ZfAOe+ye2Fp/BN+evYGvxGYcrHjqr4odruH5D4Pj3l2X3VVxxyaV0KX2Wt65e2dAs0NQC9ko5iXfvPnLkhSlqF8Evqdk6LfXetmkdKZ8z+5fCOUra4cxFyJ1g2pO/G6WhIaQvHf3+y3Mz8G2Of/Y4/vPQOZfyy10LfBUsdfR9rt2QXt1VLh0Avq9zPJqhPDcDC8ffhNG9YyzD4dvS20uJiZBtIH5pxkC8v3CsS5/bE+emvKIKq38vzz+I1KXbsH73t5aFQX64ekPyvZ7+SymuSYxJ9MY5c/IfC936u7yiCruGsFHZO5FXVIHUpfIrGPK8r4wPnPWxW577J65K1Nby3Azcu/4zlFbWWqVHhAZJ/jj9gTNlCzbAcuG0/TEG0hAeqQmYSicXZz7bf7y1HzuPnbdLD+RJx/QjZy8+jib8Kv2N1G/K3Yueq38bSL9fcmzYqh344eqNDu3D1WHGvuapOuvM77Mjv39PeGTTfuw+bn99UVr5z9nzjho8VafiTGGodnI1x/af96bl29Dsw1ux9u89KnunYhD7/oIx+OWmItRcc//3q9XFsZQ4Gxuw6drH2nqWpG68P1g4FnlFFdj4ybe40tCEO/t2s4yBnfzHQtn5MgYAN3WLsoyZvXPNLlT8cM0qz8LxN1mWDpUL1oAfV5RzpP0qPHJlsz0hB/KNlVzLl+3Ju31g6IjcEDsOvQt8Hb1JcvZGy1s9S6Q/HQ2SZgzr7lS+xGgjmoTwydLj7YUF+/TtnBITGeq1fYfKjIGUS3dEC0ESAKeDpLb3Lc/NwJDnt/s0SLLlqKfvvg17O/wedX7+fEk1MVBSidxJZ+bIFMlnRrTNl3n6L6XYfrgKADD51gTJ1XD2LJmg+N5HXpiCgSs/tnrwqjHYgOOrf4q8ogo8u7VM8e/jo41W79tWtkErP0ZdQ7OuWiY6cvGQ68zVQSevpqkdcPjbZHTyf64G5QOe+6fVaIKI0CCnV2ZraGpB8e8n4eXtx6yWIG/fsOZO/XXUm/WrO29yeZ/ucCUMkXroradU/nDVpXR35ydpHc+lxEApwLzywBC84oH9lD1/D17efgzFp2swrGcXS2/TzJEpDgOlL5ffLZmul+DIU640SrfgyKWT//DFsyzkAh5ngvPx/bpJDrvxJK6Apx+23/PRF6bIrv7lSFvP1TOT+zv1gFRXy1eem4Hey7ahpV17U5wpzGPv1fYecjfQp9rN2ZHLExMZ6tUgCWgNSF1Jd2Z+krfxIdc/4vnVfzBQ0jF3Lhz84XrONZmASC6d1Gc7rLVt1SB35mY4+zwvd24eNj1yG1tCySnu1hOl4CglJsJu+LcrhqV0dno1L6nfxMmcDMmGQE+y/W0a8GOQJJdHrrzeYAyVHmsol67EFwsZyj3kWs/nMT1/dn/CQIlIJddlVh+SSyd1ufucDCmu3Cz5c+MEWz0Dm7fmwe1ZMkF23ykxEQ7/Pn/BHR2+SfRGcGTLnx9e7smGONsA0NP4kGvyZ1wenEglVxulF22QSyf13Llml0f2U56b4bMbJ1+9D29mApMz31tHehLk6p+jObTkGTVXpIfSyaUTkTQGSmRn4XjpSa9y6eSeZpk1G+TSST0dGUbURo2WZV89OPPl7cc8uj/ynLbnxbR/hoyzwW1HexLKczOQEhOB0ODWniSt9KQGgtrr0j1HcunkWYFYfx/ZtF/tIvglBkpk55nJ/dHNFGaV5unJsAQ0t0hHRHLppA5P9Jg4M9zIW3zx4Mw393zrOBP53L3rP8OzW8uweX8lnt1ahnvXf+bz5/vsWTIBJ1ZnuNWTFIg3m0Ttz7HDUjqrWxgX7D5+niMEJHCOEkkqWjHR65Nh9a5RZvUhuXTyHU9fLNQebiR3w2kMNqDBiS5MR5Oquf6I/8krqrB7gLnt/wOB3if0e4MW5hbGRxvx5fK7/a5u2B7X9qui+ltZ5WihfngSe5RI1jOT++O9X49mkOQlHHrnnzx9MfPnC87x1T91Oq/S54gI4aXEH0zf8Dl6Ld2GXku3OXzMgxJ/q7NyrfKB1Frvb4at2qF2ESzcGdYv95iS9lyZE+qJ+aOO/l5qKKqvf2vOHutACep8gT1KROSXbB9ICXj/Bo4XB3vtj/nd/bth5zH75zPdcXNXXxaJJGi57sqtguetZ5jpQdvzrPzBM5P7253rPcnVuXFyv6XQIODF+wZi/e5v7OatOvse3hpd0MkYjHljeuG/9pxUHCXg7WOtRQyUiMjvKC0X661gScs3mkqCDc73YnbtZHQpnXxj+obP1S6C15XnZvjkQc9aoZchi0EApAard6SPuzw3Q/GByjNHpnRg7x1TnpuBkooanLpwBamxURia0sVq+zOT+8t+7/HRvjtPty9D2zDJQMVAiYj8iqOLu9T2jgZP3rqhCPbFkxo76Nsc+RsqfxuCRdKcfTirM/z5O2dw5BpnH9wbyKtWnpQJCE92sB4rPVBZLW2/zaEpXewCJNt8UsfE1WBl+obP3frN2b7393UNAT3vSfWB5Tk5ORg5ciRMJhPi4uJw77334vjx41Z5hBDIyspCUlISIiIiMG7cOBw+fFilEhORt7gbsHQk0HH3b41OREHf5gTGhaE8N8MuqAvUi5reeDLI53euLc7e5L77RYXsNn9s7LHtGSnPzbDczAZBe/U42OD6ZyrPzUB8tBHBhtbj5c4xaQuySypqkF/8HUoqagAA/VZ8hF5Lt6Hfio/s/kbpfDQqe6fLZfAHqvcoFRYWYuHChRg5ciSampqwYsUKTJo0CUeOHEFUVBQAYM2aNVi7di3eeust9O3bFy+++CImTpyI48ePw2QyqfwJiDzvkU37semR29Quhk919IbPnRarp/9S6tZ7tb2PUpkD7WIdKEEdeV6g1VXyjLZzZt01+flKj43zzfMT318wBvdt2OtUXqmekY72IPkzd8/Ncj1IM4Z1x9biM07tI/efR/F64UnJbQ3Nwuq66+ga/n1dYD7sWPUepY8//hjz58/HrbfeisGDB2PTpk2oqKjAgQMHALT2Jq1btw4rVqzA9OnTkZaWhrfffhtXr17F5s2bVS49kXcUHrefME+OuRpsOXuxaK/9TWV5boZkz5JWbzwvXpa+0Mmlk3cNWvlxh/fx0oyBHigJBTKlB1L4atVbpaFkWqd0vfDGtcSVYYVyQVJ7bT1MWqV6j5Kt2trW5zzExMQAAE6dOoWqqipMmjTJksdoNCI9PR179+7Fo48+arePhoYGNDT8eOGuq6vzcqmJXJcSE2G3ck4bPknJP0ldtFxZYjvQ1V1vcimdvKuuoeMPsFJzYjr5B28siECukZpXFCgNbs48iy+Q+VWgJITAU089hbFjxyItLQ0AUFVVBQCIj4+3yhsfH4/Tp09L7icnJwfPP/+8dwtL1EF7lkzQdCuMWpwdgic1vtpWoFyofCU6XPqSIZdOROoyAHB0G2uQyWTww/lJWsbrjX/yqwaDRYsW4eDBg3jvvffsthlsfrFCCLu0NsuWLUNtba3lVVlZ6ZXyEnWU3HWI1yfvc9QKxouWvVqZuQxy6aQe1l8CgFOsByRBrSG3gbjCot8ESk888QQ+/PBD7N69Gz169LCkJyQkAPixZ6lNdXW1XS9TG6PRiOjoaKsXkT+Su1XXdke261y96WNPnXdcuyE91Esunbxn2KodaheBNKD30m0IkmmZk0v3FmdWEiXPUGvIbSA+7Fb1QEkIgUWLFiE/Px+7du1Camqq1fbU1FQkJCSgoKDAktbY2IjCwkKMGTPG18UlIpV0tIX8pmXb0GvpNty0zHEQxdZ4af0SpBud5NLJe3646rgXjws1kCMtAEKCpW8F5dK9RU/zPf1BqEoRQK+l2wKqMVP1QGnhwoV45513sHnzZphMJlRVVaGqqgrXrrVOcjcYDMjMzER2djbef/99HDp0CPPnz0dkZCRmz56tcumJyJfKczMsL2e1nZTbRto1C/Y4uStEpolZLp3U5ajVmC34+tAvvpPi9mCZ369cOmnDiWx1GwQD5TqseqC0ceNG1NbWYty4cUhMTLS88vLyLHmWLFmCzMxMLFiwACNGjMCZM2ewY8cOPkOJSEPk7tnk0h0FS4HWahUIys7UupRO6nC2IWHq4CQvl4T8wfYn09Uugsewt9+zynMzVOtZAgIjWFI9UBJCSL7mz59vyWMwGJCVlYVz587h+vXrKCwstKyKR0Ta4C+tmmpeNPxdzZVGl9JJfXI3lhGhQS49T4W067LMMvNy6d7EQMj3TmS7NkpDb3hLQER+wZ0VABeO9/xT49UejuDP5JYL5jLC/s32JmjGsO44+sIUlUpDpEzupp0386QGPvyCiPxCUJABkFiyO0ihR+mZyf0DchWdQBUWEuxSOvkP3mRSILF9ACvrr/fNGNYdW4vPKOZx5rlcrogMgCEc/l9CItIFfxh6Fx9t9Nl7BaLz9dddSicicpc7i/eQ+5wZiuvsc7mc/c6OBEDPNgMlIgpojlZ0csWXy+/22L606HpTi0vp5B2T/1iodhGISIOUAhy9BqwMlIgooLm6opPUyT4+2qjbi4ArmmXiIbl0b5i+4XMMzPoY0zd87rs39TPHv78su43TxUiKO+c3rh6vT1J1Rc/XR85RIvJTj2zaj02P3KZ2MXzmhkyvhFy6O9pO9no+6Qey9nMWiisuodfSbfwubYzr103tIpBGfJvD35Ze8bz6I/YoEfmpPV+fV7sIPtUosZCDUnp7PKlrn1wPUiA8h8OX9NS4QkS+5+z11hur0qqBgRKRimIiQ2W3OREfaIrcx3X2MBg5TkTTSiouyW5jsERE5F+emdxf7SJ4BAMlIhUV/36S2kXwCy9vP9bhfRxf/VPF7ex1CmyOAma9BEt6+Zzkea7c8M0Y1t1r5aDA54lFHwKlbZOBEhGp7r/2nPTIfspzMyR7lhgkeZ8/3MD7QxmI/NVJF86DziwVTfrmzKIPStfeQJkDx8UciEh1DQrjDIeldHZpX456lsh9QQC4ELh6HAWCSkN5iYg8zZlGSNuHBwcbAidIAtijRER+Ln/BHWoXgf6XoxbpUdk7fVQSeXruVeJQXiLyR+0fHhxIQRLAQImIiDzk+7oGtYugW9HGYLWLQESkOQyUiIiIAtzB5+9RuwgUAOKjjWoXgSigMFAiItXJLX4TIIvi6IqjMel5RRU+Kom8W577p9pF8Dg9Dykkz/ly+d1qF4EooDBQIiLVhcicieTSyX/96+j3ahcBV29wyQkiIuo4rnpH5OdsW5K1uNR1SHAQbrTY39yGBDNSCjRdIsPULoLupMREqF0E0hAtXmOI3MW7ECI/JjXcRotDcIKDpAfZyaWTuhaOv0l224O3pfiwJAQAe5ZMULsIFECUAiEuCkJkjYESUQDSWrB0o0l6qJRcOqnrmcn90c1k33P0eHpvDE3pokKJ7A1a+bHaRfAYf5j3RdoiFyxxURAiaxx6R0RELitaMREvbz+GwuPnkWAOx8LxN0sGSZ4aOmoAIP9YYnt1Dc1uvY8/enZrmdpFIA0qz83AoJUfo66hGdHGYAZJRBIYKBGpbHy/bth9/LzaxVBVJ2MIGq7ekEwn//XM5P54ZnJ/2e1yQ0elgiVv9JK232dH512UVNTg1IUrSI2N8pteM6KOYnBEpIx3IUQq2/TIbZobSueqJiHdVyCXTv5PqU7bBku+qP9yAZqzf2vLXya8+0s5iIi0iHOUiAKUloKrRpm5SHLpFPja6q8v67E77yX3N1r6/RERkTT2KBGR6vjAWX3yl2CjfTliIkNR/PtJdulyf8ceHSIi7WKPEhGprqFZuudILp3IU2yDoR+u3nApgOu1dJvl5Q2T/1jolf0SEZFjqgdKe/bswbRp05CUlASDwYAPPvjAavv8+fNhMBisXrfffrs6hSXyEmOwvvtO5OIhxkmB6em/lKpdBFnDVu2w/FspuOm34iOX9+2NYOn495c9vk8iInKO6oHSlStXMHjwYLz22muyee655x6cO3fO8vroI9cvYET+7Pjqn6pdBCKP2Vp8Ru0iyPrhf1dXdBTUNDS7t5BIr6Xb3AqyiIjI/6g+R2nKlCmYMmWKYh6j0YiEhAQflYiIAM89/8aZfRPZsq1vgVRnGpqFT+YvcX4UEZF3qd6j5IxPPvkEcXFx6Nu3L371q1+hurpaMX9DQwPq6uqsXkTkPLnn33hr30RaxJ4lIqLA5veB0pQpU/Duu+9i165deOWVV1BUVIQJEyagoaFB9m9ycnJgNpstr+TkZB+WmMg97kxT6u3lh3S6sq2j+yZqY/tbyCuq8Oj+fVUP3R2+R0RE/kH1oXeOzJw50/LvtLQ0jBgxAj179sS2bdswffp0yb9ZtmwZnnrqKcv/6+rqGCyR3/s2J8PlGzitr3XAoUX6NDi5s9X/s7cdVcxvABBIIUn73znrOBGR//L7HiVbiYmJ6NmzJ06cOCGbx2g0Ijo62upFRJ7BXiHytvwFd1j9v/Z6k2zefvGdMDSls5dL5Dm2vx/+noiI/FfABUoXL15EZWUlEhMT1S4KkW65c3Pn6t+wpV1fTOHBGJbS2eXvffuT6XaBlbe5Usb29V7uN8BgiYjIP6k+9O7y5cv45ptvLP8/deoUSktLERMTg5iYGGRlZWHGjBlITExEeXk5li9fjtjYWNx3330qlpqIvIlBkv6UZd2jdhFc0lZHGeQQEWmX6oHSv//9b4wfP97y/7a5RfPmzcPGjRtRVlaGP//5z7h06RISExMxfvx45OXlwWQyqVVkIq8pz3V9npIn3fLcP53O68ryx848gJTBEWmVM79pqd8TgzAiInWpPvRu3LhxEELYvd566y1ERERg+/btqK6uRmNjI06fPo233nqLCzMQtePJm6mrN7yzPISjB5AySCJngmklatUhb73v9A2fe2W/RETkPNUDJSKyxqCB9MhRMO0M29+Or35L3nif4opLittTYiI8/p5ERGSNgRKRH7K98XppxkCVSuJ9DAy1pc9yzw4Xc2U4KNBan9pevuTr99uzZIJP34+ISI9Un6NERNJsb7ye3VqmUkk6xhsPxSX/5enRm94aDhrI2LhAROQb7FEiIrc503vA21xqM75fN4/ur198J4d5oo3BHn1PJRwOR0SkLQyUiDTgpmXq9Np0tLE/2OCZclBg2PTIbR7d3/Yn0x3mOfi875Yd7+hwOK5yR0TkXxgoEWlAs3D9b3ot3Wb1UsO3ORxCpDULx9/kUnp7j2za7+ni+Fx5bgZ7loiINIKBElGAMHqw+0UqMGJrNnnCM5P7o5spzCotzhSGZyb3d/i3u4+f91axfIoLLRARaQMDJaIAcXz1Tz2yHwZE5G1FKyZi4fibMLp3DBaOvwn7V0xUu0gBg79PIiL/wUCJSEd4E0a+8szk/njv16PtepIcrdjmjTo6LKWzx/bl7OIQnuwBJiIidTBQIiIiv+LpYCl/wR0e29eKqbc4la8jPcBs0CAi8g8MlIg04uXtx9QuAlHAen/BGKfyzRyZ4vF9SpHrj2I/FRGR7zBQItKI9bu/VdzurVZqtn6TN80Y1t2ldDmOhvwNTeni0v6cMTSlCx5L7+3W37qxkCUREXkYAyUiIvIr7YOaVx4YgohQ60tVRGgQXnlgiI9L5Z6lUwbY9SyV52Y4DNzksEeJiMh3GCgRBRBnJsK3vTz5TJqODCEisqVUj6W2HX1hCmYM646bu0VhxrDuOPrCFLfet198J8V0d4MXR4amdLEER956DyIi8jwGSkQatfv4edy0zDPD4rwxLIn0TSpgUAoiXnlgCHY+Pa5DPUnbn0x3Kd0fBfOqTUTkMyFqF4CIvKdZAI9s2o9Nj9ymdlGI7KjRu1Kem4HJfyzE6R+uoGdMlKpB0rCUziiuuOTS39wcJ90rRkREnsdAiUjjdh8/r3YRiPyKv/Qg5S+4w+XFULKnD/JSaYiIyBY78YnIa/KKKtQuApFLXJ0/5WscBktE5DsMlIgCTEpMhMt/M/mPhV4oiWPZ247KbjMGc/0u8k+uzp/y9HsREZF/4NA7ogCzZ8kEl4frHP/+spdKo6z2epPstqmDk3xYEiLX+DKAKc/NcOo3zaCKiMi32KNEpG/GAFMAABTBSURBVHPu9FDZ6rPc9dX1AuU5OET+gEESEZHvMVAi0rk9SyYobo/834d9Kp0sbrR4sEBEOuTvc6OIiPSIgRIRKTryvw/3zJkxUOWSEGmbL+dGERGRY5yjRBSAjMEGNDQLj+1Pbo5E+5u0mSNT8OzWMo+9JxHZY2BEROQ/VO9R2rNnD6ZNm4akpCQYDAZ88MEHVtuFEMjKykJSUhIiIiIwbtw4HD58WJ3CEvmJ46t/6vF92t6g8YaNiIiI9Ez1QOnKlSsYPHgwXnvtNcnta9aswdq1a/Haa6+hqKgICQkJmDhxIurr631cUiLtK8/NsLyIiIiI9Ez1oXdTpkzBlClTJLcJIbBu3TqsWLEC06dPBwC8/fbbiI+Px+bNm/Hoo4/6sqhERERERKQTqvcoKTl16hSqqqowadIkS5rRaER6ejr27t2rYsmIiIiIiEjLVO9RUlJVVQUAiI+Pt0qPj4/H6dOnZf+uoaEBDQ0Nlv/X1dV5p4BEJMudZysRERER+Qu/7lFqYzAYrP4vhLBLay8nJwdms9nySk5O9nYRicgGn61EREREgcyvA6WEhAQAP/YstamurrbrZWpv2bJlqK2ttbwqKyu9Wk6iQBVtDFblfcf366bK+xIRERE5y68DpdTUVCQkJKCgoMCS1tjYiMLCQowZM0b274xGI6Kjo61eRFrjiZXpDj5/jwdK0uqW5/7pdN5Nj9zmsfclIiIi8gbVA6XLly+jtLQUpaWlAFoXcCgtLUVFRQUMBgMyMzORnZ2N999/H4cOHcL8+fMRGRmJ2bNnq1twIj8gFSyptbT3VY61IyIiIg1RfTGHf//73xg/frzl/0899RQAYN68eXjrrbewZMkSXLt2DQsWLEBNTQ1GjRqFHTt2wGQyqVVkIr8iFyz1Wur5xRTG9+uG3cfPe3y/RERERP5G9UBp3LhxEELIbjcYDMjKykJWVpbvCkVEkjY9cptXAjAiIiIif6P60Dsi8g61huABwKCVH6v23kRERESewECJSMPUCpbqGppVeV8iIiIiT2GgRKRxcsGSWkFUKM86REREFAB4y0KkA7ZBkbeCJGeG3J3IVm9IIBEREZGzVF/MgYh8wxc9SBxyR0RERFrBHiUiIiIiIiIbDJSIyCVqrqZHRERE5CsMlIjIo1L5nCUiIiLSAAZKRORR8o+PBoINPisGERERUYcwUCIin/k2h8P2iIiIKDAwUCIiIiIiIrLBQImIXMYFHYiIiEjrGCgRERERERHZYKBERERERERkg4ESERERERGRDQZKRERERERENhgoEZFbUmIi1C4CERERkdcwUCIit+xZMkHtIhARERF5DQMlIiIiIiIiGwyUiIiIiIiIbDBQIiKfCDaoXQIiIiIi5zFQIiKfuLNvN7WLQEREROQ0BkpE5BObHrlN7SIQEREROY2BEhF5HYfdERERUaBhoEREbgt18gwSxECJiIiIAozfB0pZWVkwGAxWr4SEBLWLRUQATmRnOJUvJNjvTzVEREREVkLULoAzbr31VuzcudPy/+DgYBVLQ0SuCmaXEhEREQWYgAiUQkJC2ItEFMA4R4mIiIgCTUCMhzlx4gSSkpKQmpqKBx98ECdPnlS7SETkAg69IyIiokDj9z1Ko0aNwp///Gf07dsX33//PV588UWMGTMGhw8fRteuXSX/pqGhAQ0NDZb/19XV+aq4RCSBHUpEREQUaPy+mXfKlCmYMWMGBg4ciLvvvhvbtm0DALz99tuyf5OTkwOz2Wx5JScn+6q4RCQhlD1KREREFGAC7u4lKioKAwcOxIkTJ2TzLFu2DLW1tZZXZWWlD0tIRLbCQ7kACxEREQWWgAuUGhoacPToUSQmJsrmMRqNiI6OtnoRkXeU5zpeIjwijIESERERBRa/D5R++9vforCwEKdOncKXX36J+++/H3V1dZg3b57aRSMiJ0UxUCIiIqIA4/eLOXz33XeYNWsWLly4gG7duuH222/HF198gZ49e6pdNCJyksHA5RyIiIgosPh9oLRlyxa1i0BEHSSEULsIRERERC7x+6F3RBT42KNEREREgYaBEhF5HXuUiIiIKNAwUCKiDusX30lxO3uUiIiIKNAwUCKiDtv+ZLridvYoERERUaBhoEREXsceJSIiIgo0DJSIyOv2l9eoXQQiIiIilzBQIiIiIiIissFAiYg84v0FY9QuAhEREZHHMFAiIo8YmtJF7SIQEREReQwDJSLymJSYCJfSiYiIiPwVAyUi8pg9Sya4lE5ERETkrxgoEZFHledmICUmAqHBrT1J5bkZaheJiIiIyGUhaheAiLSHPUhEREQU6NijREREREREZIOBEhERERERkQ0GSkRERERERDYYKBEREREREdlgoERERERERGSDgRIREREREZENBkpEREREREQ2GCgRERERERHZYKBERERERERkg4ESERERERGRDQZKRERERERENhgoERERERER2QiYQGnDhg1ITU1FeHg4hg8fjk8//VTtIhERERERkUaFqF0AZ+Tl5SEzMxMbNmzAHXfcgf/8z//ElClTcOTIEaSkpKhdPCKLkooanLpwBamxURia0sXj+QNNSUUNPjleDQAY1y9Ok5/RHVr43ksqarBlfwXy/v2dw7zluRmy2/KKKvCvo9+jS2QYHrwtRfZ4aOGYkbW8ogp8VXkJg5M7Y+ZIXssDlTu/zV5LtyluVzpnEPmSQQgh1C6EI6NGjcKwYcOwceNGS9qAAQNw7733Iicnx+Hf19XVwWw2o7a2FtHR0d4sKulY7j+P4vXCk5b/P5beG0unDPBY/kBj+/kA7X1Gd2jhe5f6bh2RuvG5d/1nKK2stUqTOh5aOGZkzfa7H5JsxgcLx6pYInKHO79NR0FSGwZL5E3OxgZ+P/SusbERBw4cwKRJk6zSJ02ahL1790r+TUNDA+rq6qxeRN5UUlFjd+P4euFJlFTUeCR/oJH6fIC2PqM7tPC9y323jtjeHOUVVdgFSYD98dDCMSNrUt99aWUt8ooqVCoRucOd36azQZKreYm8xe8DpQsXLqC5uRnx8fFW6fHx8aiqqpL8m5ycHJjNZssrOTnZF0UlHTt14YpX0wON0ufQymd0hxa+d0+V9avKS069hxaOGVmT++6V6gT5H/42SQ/8PlBqYzAYrP4vhLBLa7Ns2TLU1tZaXpWVlb4oIulYamyUV9MDjdLn0MpndIcWvndPlXVwcmen3kMLx4ysyX33SnWC/A9/m6QHfh8oxcbGIjg42K73qLq62q6XqY3RaER0dLTVi8ibhqZ0wWPpva3SHk/vLTux1dX8gUbq8wHa+ozu0ML3LvfdOmI732DmyBQMSTbb5bM9Hlo4ZmRN6rsfmmzmgg4Bxp3fpivzjjhHifxBwCzmMHz4cGzYsMGSdsstt+DnP/85F3Mgv8JV76xx1TtpWvjeueoddRRXvdMGrnpHgcjZ2CAgAqW8vDzMnTsXr7/+OkaPHo033ngDb775Jg4fPoyePXs6/HsGSkREREREBDgfGwTEc5RmzpyJixcvYtWqVTh37hzS0tLw0UcfORUkERERERERuSogepQ6ij1KREREREQEaOg5SkRERERERL4WEEPvOqqt04wPniUiIiIi0re2mMDRwDpdBEr19fUAwAfPEhERERERgNYYwWy2f1RFG13MUWppacHZs2dhMplkH1LrK3V1dUhOTkZlZSXnS5Ed1g+Sw7pBSlg/SA7rBinRa/0QQqC+vh5JSUkICpKfiaSLHqWgoCD06NFD7WJY4YNwSQnrB8lh3SAlrB8kh3WDlOixfij1JLXhYg5EREREREQ2GCgRERERERHZYKDkY0ajEStXroTRaFS7KOSHWD9IDusGKWH9IDmsG6SE9UOZLhZzICIiIiIicgV7lIiIiIiIiGwwUCIiIiIiIrLBQImIiIiIiMgGAyUiIiIiIiIbDJR8bMOGDUhNTUV4eDiGDx+OTz/9VO0iUQfk5ORg5MiRMJlMiIuLw7333ovjx49b5RFCICsrC0lJSYiIiMC4ceNw+PBhqzwNDQ144oknEBsbi6ioKPzsZz/Dd999Z5WnpqYGc+fOhdlshtlsxty5c3Hp0iWrPBUVFZg2bRqioqIQGxuL3/zmN2hsbPTKZyfX5OTkwGAwIDMz05LGuqFvZ86cwUMPPYSuXbsiMjISQ4YMwYEDByzbWT/0qampCb/73e+QmpqKiIgI9O7dG6tWrUJLS4slD+uGfuzZswfTpk1DUlISDAYDPvjgA6vt/lYXysrKkJ6ejoiICHTv3h2rVq1CQK8bJ8hntmzZIkJDQ8Wbb74pjhw5IhYvXiyioqLE6dOn1S4auWny5Mli06ZN4tChQ6K0tFRkZGSIlJQUcfnyZUue3NxcYTKZxNatW0VZWZmYOXOmSExMFHV1dZY8jz32mOjevbsoKCgQxcXFYvz48WLw4MGiqanJkueee+4RaWlpYu/evWLv3r0iLS1NTJ061bK9qalJpKWlifHjx4vi4mJRUFAgkpKSxKJFi3xzMEjW/v37Ra9evcSgQYPE4sWLLemsG/r1ww8/iJ49e4r58+eLL7/8Upw6dUrs3LlTfPPNN5Y8rB/69OKLL4quXbuKf/zjH+LUqVPir3/9q+jUqZNYt26dJQ/rhn589NFHYsWKFWLr1q0CgHj//fettvtTXaitrRXx8fHiwQcfFGVlZWLr1q3CZDKJP/zhD947QF7GQMmHbrvtNvHYY49ZpfXv318sXbpUpRKRp1VXVwsAorCwUAghREtLi0hISBC5ubmWPNevXxdms1m8/vrrQgghLl26JEJDQ8WWLVssec6cOSOCgoLExx9/LIQQ4siRIwKA+OKLLyx59u3bJwCIY8eOCSFaT6ZBQUHizJkzljzvvfeeMBqNora21nsfmhTV19eLPn36iIKCApGenm4JlFg39O3ZZ58VY8eOld3O+qFfGRkZ4pe//KVV2vTp08VDDz0khGDd0DPbQMnf6sKGDRuE2WwW169ft+TJyckRSUlJoqWlxYNHwnc49M5HGhsbceDAAUyaNMkqfdKkSdi7d69KpSJPq62tBQDExMQAAE6dOoWqqiqr791oNCI9Pd3yvR84cAA3btywypOUlIS0tDRLnn379sFsNmPUqFGWPLfffjvMZrNVnrS0NCQlJVnyTJ48GQ0NDVbDeci3Fi5ciIyMDNx9991W6awb+vbhhx9ixIgR+MUvfoG4uDgMHToUb775pmU764d+jR07Fv/617/w9ddfAwC++uorfPbZZ/jpT38KgHWDfuRvdWHfvn1IT0+3enjt5MmTcfbsWZSXl3v+APhAiNoF0IsLFy6gubkZ8fHxVunx8fGoqqpSqVTkSUIIPPXUUxg7dizS0tIAwPLdSn3vp0+ftuQJCwtDly5d7PK0/X1VVRXi4uLs3jMuLs4qj+37dOnSBWFhYaxjKtmyZQuKi4tRVFRkt411Q99OnjyJjRs34qmnnsLy5cuxf/9+/OY3v4HRaMTDDz/M+qFjzz77LGpra9G/f38EBwejubkZq1evxqxZswDw3EE/8re6UFVVhV69etm9T9u21NRUdz6mqhgo+ZjBYLD6vxDCLo0C06JFi3Dw4EF89tlndtvc+d5t80jldycP+UZlZSUWL16MHTt2IDw8XDYf64Y+tbS0YMSIEcjOzgYADB06FIcPH8bGjRvx8MMPW/KxfuhPXl4e3nnnHWzevBm33norSktLkZmZiaSkJMybN8+Sj3WD2vhTXZAqi9zfBgIOvfOR2NhYBAcH27XAVFdX20XoFHieeOIJfPjhh9i9ezd69OhhSU9ISAAAxe89ISEBjY2NqKmpUczz/fff273v+fPnrfLYvk9NTQ1u3LjBOqaCAwcOoLq6GsOHD0dISAhCQkJQWFiIV199FSEhIVatbO2xbuhDYmIibrnlFqu0AQMGoKKiAgDPHXr2zDPPYOnSpXjwwQcxcOBAzJ07F08++SRycnIAsG7Qj/ytLkjlqa6uBmDf6xUoGCj5SFhYGIYPH46CggKr9IKCAowZM0alUlFHCSGwaNEi5OfnY9euXXbdyqmpqUhISLD63hsbG1FYWGj53ocPH47Q0FCrPOfOncOhQ4cseUaPHo3a2lrs37/fkufLL79EbW2tVZ5Dhw7h3Llzljw7duyA0WjE8OHDPf/hSdFdd92FsrIylJaWWl4jRozAnDlzUFpait69e7Nu6Ngdd9xh9yiBr7/+Gj179gTAc4eeXb16FUFB1rdnwcHBluXBWTeojb/VhdGjR2PPnj1WS4bv2LEDSUlJdkPyAobv1o2gtuXB//SnP4kjR46IzMxMERUVJcrLy9UuGrnp8ccfF2azWXzyySfi3LlzltfVq1cteXJzc4XZbBb5+fmirKxMzJo1S3Lpzh49eoidO3eK4uJiMWHCBMmlOwcNGiT27dsn9u3bJwYOHCi5dOddd90liouLxc6dO0WPHj24jKsfab/qnRCsG3q2f/9+ERISIlavXi1OnDgh3n33XREZGSneeecdSx7WD32aN2+e6N69u2V58Pz8fBEbGyuWLFliycO6oR/19fWipKRElJSUCABi7dq1oqSkxPJoGX+qC5cuXRLx8fFi1qxZoqysTOTn54vo6GguD07OW79+vejZs6cICwsTw4YNsywjTYEJgORr06ZNljwtLS1i5cqVIiEhQRiNRnHnnXeKsrIyq/1cu3ZNLFq0SMTExIiIiAgxdepUUVFRYZXn4sWLYs6cOcJkMgmTySTmzJkjampqrPKcPn1aZGRkiIiICBETEyMWLVpktUwnqcs2UGLd0Le///3vIi0tTRiNRtG/f3/xxhtvWG1n/dCnuro6sXjxYpGSkiLCw8NF7969xYoVK0RDQ4MlD+uGfuzevVvyPmPevHlCCP+rCwcPHhQ/+clPhNFoFAkJCSIrKytglwYXQgiDEIH8uFwiIiIiIiLP4xwlIiIiIiIiGwyUiIiIiIiIbDBQIiIiIiIissFAiYiIiIiIyAYDJSIiIiIiIhsMlIiIiIiIiGwwUCIiIiIiIrLBQImIiIiIiMgGAyUiIiIiIiIbDJSIiIiIiIhsMFAiIiIiIiKywUCJiIiIiIjIxv8H+47XH0RS0G4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x3000 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# start = 115000\n",
    "# end = 140000\n",
    "start = 170000\n",
    "end = len(df)\n",
    "#\n",
    "\n",
    "num_rows = 10\n",
    "fig, axs = plt.subplots(nrows=num_rows, ncols=1, figsize=(10,3 * num_rows))\n",
    "\n",
    "numerical_values0 = convert_values(df['BATT_PACK_1_FAULT'][start:end])\n",
    "numerical_values1 = df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32).fill_null(strategy=\"mean\")[start:end]\n",
    "numerical_values2 = df['PACK1_CRIDATA_AVG_CELL_VOL'].cast(pl.Float32).fill_null(strategy=\"mean\")[start:end]\n",
    "numerical_values3 = df['PACK1_CRIDATA_AVG_CELL_TEMP'].cast(pl.Float32).fill_null(strategy=\"mean\")[start:end]\n",
    "numerical_values4 = df['PACK1_CRIDATA_BUS_VOL'].cast(pl.Float32).fill_null(strategy=\"mean\")[start:end]\n",
    "numerical_values5 = df['PACK1_CRIDATA_CHARGE_CURR_LIMIT'].cast(pl.Float32).fill_null(strategy=\"mean\")[start:end]\n",
    "numerical_values6 = df['PACK1_CRIDATA_CURR'].cast(pl.Float32).fill_null(strategy=\"mean\")[start:end]\n",
    "numerical_values7 = df['PACK1_CRIDATA_DISCHARGE_CURR_LIMIT'].cast(pl.Float32).fill_null(strategy=\"mean\")[start:end]\n",
    "numerical_values8 = df['PACK1_CRIDATA_SOC'].cast(pl.Float32).fill_null(strategy=\"mean\")[start:end]\n",
    "numerical_values9 = df['BATT_ROOM_TEMP'].cast(pl.Float32).fill_null(strategy=\"mean\")[start:end]\n",
    "axs[0].scatter(range(len(numerical_values0)), numerical_values0, s=10)\n",
    "axs[0].set_title(\"fault\")\n",
    "axs[1].scatter(range(len(numerical_values1)), numerical_values1, s=10)\n",
    "axs[1].set_title(\"voltage\")\n",
    "axs[1].set_ylim(600,1000)\n",
    "\n",
    "axs[2].scatter(range(len(numerical_values2)), numerical_values2, s=10)\n",
    "axs[2].set_title(\"avg cell vol\")\n",
    "\n",
    "axs[3].scatter(range(len(numerical_values3)), numerical_values3, s=10)\n",
    "axs[3].set_title(\"avg cell temp\")\n",
    "axs[3].set_ylim(-20, 100)\n",
    "\n",
    "axs[4].scatter(range(len(numerical_values4)), numerical_values4, s=10)\n",
    "axs[4].set_title(\"bus vol\")\n",
    "\n",
    "axs[5].scatter(range(len(numerical_values5)), numerical_values5, s=10)\n",
    "axs[5].set_title(\"charge curr limit\")\n",
    "\n",
    "axs[6].scatter(range(len(numerical_values6)), numerical_values6, s=10)\n",
    "axs[6].set_title(\"curr\")\n",
    "\n",
    "axs[7].scatter(range(len(numerical_values7)), numerical_values7, s=10)\n",
    "axs[7].set_title(\"discharge curr limit\")\n",
    "\n",
    "axs[8].scatter(range(len(numerical_values8)), numerical_values8, s=10)\n",
    "axs[8].set_title(\"soc\")\n",
    "\n",
    "axs[9].scatter(range(len(numerical_values9)), numerical_values9, s=10)\n",
    "axs[9].set_title(\"batt room temp\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "we can reasonably assume that the data in this interval is without anomalies\n",
    "\n",
    "The issue lies in removing the \"0\" data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'temp with zeros')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# start = 170000\n",
    "# end = len(df)\n",
    "start = 0\n",
    "\n",
    "end = len(df)\n",
    "\n",
    "num_rows = 4\n",
    "\n",
    "fig, axs = plt.subplots(nrows=num_rows, ncols=1, figsize=(10,3 * num_rows))\n",
    "\n",
    "\n",
    "numerical_values0 = convert_values((df['BATT_PACK_1_FAULT']\n",
    "                                    .filter(df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32) != 0))\n",
    "                                    [start:end])\n",
    "numerical_values1 = (df['PACK1_CRIDATA_BATT_VOL']\n",
    "                     .cast(pl.Float32)\n",
    "                     .fill_null(strategy=\"mean\")\n",
    "                     .filter(df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32) != 0))[start:end]\n",
    "\n",
    "numerical_values2 = (df['PACK1_CRIDATA_AVG_CELL_TEMP']\n",
    "                     .cast(pl.Float32)\n",
    "                     .fill_null(strategy=\"mean\")\n",
    "                     .filter(df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32) != 0))[start:end]\n",
    "\n",
    "\n",
    "numerical_values3 = df['PACK1_CRIDATA_AVG_CELL_TEMP'].cast(pl.Float32).fill_null(-100)[start:end]\n",
    "\n",
    "axs[0].scatter(range(len(numerical_values0)), numerical_values0, s=10)\n",
    "axs[0].set_title(\"fault\")\n",
    "\n",
    "axs[1].scatter(range(len(numerical_values1)), numerical_values1, s=10)\n",
    "axs[1].set_title(\"voltage\")\n",
    "\n",
    "axs[2].scatter(range(len(numerical_values2)), numerical_values2, s=10)\n",
    "axs[2].set_title(\"temp\")\n",
    "\n",
    "axs[3].scatter(range(len(numerical_values3)), numerical_values3, s=10)\n",
    "axs[3].set_title(\"temp with zeros\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fe3243fa860>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "numerical_values1 = (df['PACK1_CRIDATA_BATT_VOL']\n",
    "                     .cast(pl.Float32)\n",
    "                     .fill_null(strategy=\"mean\")\n",
    "                     .filter(df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32) != 0))\n",
    "\n",
    "plt.scatter(range(len(numerical_values1)), numerical_values1, s=10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fe32601c5e0>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "numerical_values1 = (df['PACK1_CRIDATA_BATT_VOL']\n",
    "                     .cast(pl.Float32)\n",
    "                     .fill_null(0))\n",
    "                     \n",
    "\n",
    "plt.scatter(range(len(numerical_values1)), numerical_values1, s=10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'batt room temp')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x3000 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# start = 115000\n",
    "# end = 140000\n",
    "start = 0\n",
    "end = len(df)\n",
    "#\n",
    "\n",
    "num_rows = 10\n",
    "fig, axs = plt.subplots(nrows=num_rows, ncols=1, figsize=(10,3 * num_rows))\n",
    "\n",
    "filter_condition = (df['PACK1_CRIDATA_BATT_VOL']\n",
    "                    .cast(pl.Float32) != 0)\n",
    "\n",
    "numerical_values0 = convert_values(df['BATT_PACK_1_FAULT']\n",
    "                                   .filter(filter_condition)[start:end])\n",
    "numerical_values1 = (df['PACK1_CRIDATA_BATT_VOL']\n",
    "                     .filter(filter_condition)\n",
    "                     .cast(pl.Float32)\n",
    "                     .fill_null(strategy=\"mean\"))[start:end]\n",
    "numerical_values2 = (df['PACK1_CRIDATA_AVG_CELL_VOL']\n",
    "                     .filter(filter_condition)\n",
    "                     .cast(pl.Float32)\n",
    "                     .fill_null(strategy=\"mean\"))[start:end]\n",
    "numerical_values3 = (df['PACK1_CRIDATA_AVG_CELL_TEMP']\n",
    "                     .filter(filter_condition)\n",
    "                     .cast(pl.Float32)\n",
    "                     .fill_null(strategy=\"mean\"))[start:end]\n",
    "numerical_values4 = (df['PACK1_CRIDATA_BUS_VOL'].cast(pl.Float32).fill_null(strategy=\"mean\"))[start:end]\n",
    "numerical_values5 = (df['PACK1_CRIDATA_CHARGE_CURR_LIMIT'].cast(pl.Float32).fill_null(strategy=\"mean\"))[start:end]\n",
    "numerical_values6 = (df['PACK1_CRIDATA_CURR'].cast(pl.Float32).fill_null(strategy=\"mean\"))[start:end]\n",
    "numerical_values7 = (df['PACK1_CRIDATA_DISCHARGE_CURR_LIMIT'].cast(pl.Float32).fill_null(strategy=\"mean\"))[start:end]\n",
    "numerical_values8 = (df['PACK1_CRIDATA_SOC'].cast(pl.Float32).fill_null(strategy=\"mean\"))[start:end]\n",
    "numerical_values9 = (df['BATT_ROOM_TEMP'].cast(pl.Float32).fill_null(strategy=\"mean\"))[start:end]\n",
    "axs[0].scatter(range(len(numerical_values0)), numerical_values0, s=10)\n",
    "axs[0].set_title(\"fault\")\n",
    "axs[1].scatter(range(len(numerical_values1)), numerical_values1, s=10)\n",
    "axs[1].set_title(\"voltage\")\n",
    "\n",
    "axs[2].scatter(range(len(numerical_values2)), numerical_values2, s=10)\n",
    "axs[2].set_title(\"avg cell vol\")\n",
    "\n",
    "axs[3].scatter(range(len(numerical_values3)), numerical_values3, s=10)\n",
    "axs[3].set_title(\"avg cell temp\")\n",
    "\n",
    "axs[4].scatter(range(len(numerical_values4)), numerical_values4, s=10)\n",
    "axs[4].set_title(\"bus vol\")\n",
    "\n",
    "axs[5].scatter(range(len(numerical_values5)), numerical_values5, s=10)\n",
    "axs[5].set_title(\"charge curr limit\")\n",
    "\n",
    "axs[6].scatter(range(len(numerical_values6)), numerical_values6, s=10)\n",
    "axs[6].set_title(\"curr\")\n",
    "\n",
    "axs[7].scatter(range(len(numerical_values7)), numerical_values7, s=10)\n",
    "axs[7].set_title(\"discharge curr limit\")\n",
    "\n",
    "axs[8].scatter(range(len(numerical_values8)), numerical_values8, s=10)\n",
    "axs[8].set_title(\"soc\")\n",
    "\n",
    "axs[9].scatter(range(len(numerical_values9)), numerical_values9, s=10)\n",
    "axs[9].set_title(\"batt room temp\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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