Crime in Vancouver.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><h1>Crimes in Vancouver</h1></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import calendar\n",
    "\n",
    "%matplotlib inline\n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "vancouver_data = pd.read_csv('dataset/crime.csv')\n",
    "vancouver_data['counter'] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TYPE</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>MONTH</th>\n",
       "      <th>DAY</th>\n",
       "      <th>HOUR</th>\n",
       "      <th>MINUTE</th>\n",
       "      <th>HUNDRED_BLOCK</th>\n",
       "      <th>NEIGHBOURHOOD</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>counter</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Other Theft</td>\n",
       "      <td>2003</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>16.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>9XX TERMINAL AVE</td>\n",
       "      <td>Strathcona</td>\n",
       "      <td>493906.5</td>\n",
       "      <td>5457452.47</td>\n",
       "      <td>49.269802</td>\n",
       "      <td>-123.083763</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Other Theft</td>\n",
       "      <td>2003</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>15.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>9XX TERMINAL AVE</td>\n",
       "      <td>Strathcona</td>\n",
       "      <td>493906.5</td>\n",
       "      <td>5457452.47</td>\n",
       "      <td>49.269802</td>\n",
       "      <td>-123.083763</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Other Theft</td>\n",
       "      <td>2003</td>\n",
       "      <td>4</td>\n",
       "      <td>23</td>\n",
       "      <td>16.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>9XX TERMINAL AVE</td>\n",
       "      <td>Strathcona</td>\n",
       "      <td>493906.5</td>\n",
       "      <td>5457452.47</td>\n",
       "      <td>49.269802</td>\n",
       "      <td>-123.083763</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Other Theft</td>\n",
       "      <td>2003</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>11.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>9XX TERMINAL AVE</td>\n",
       "      <td>Strathcona</td>\n",
       "      <td>493906.5</td>\n",
       "      <td>5457452.47</td>\n",
       "      <td>49.269802</td>\n",
       "      <td>-123.083763</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Other Theft</td>\n",
       "      <td>2003</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>17.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>9XX TERMINAL AVE</td>\n",
       "      <td>Strathcona</td>\n",
       "      <td>493906.5</td>\n",
       "      <td>5457452.47</td>\n",
       "      <td>49.269802</td>\n",
       "      <td>-123.083763</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          TYPE  YEAR  MONTH  DAY  HOUR  MINUTE     HUNDRED_BLOCK  \\\n",
       "0  Other Theft  2003      5   12  16.0    15.0  9XX TERMINAL AVE   \n",
       "1  Other Theft  2003      5    7  15.0    20.0  9XX TERMINAL AVE   \n",
       "2  Other Theft  2003      4   23  16.0    40.0  9XX TERMINAL AVE   \n",
       "3  Other Theft  2003      4   20  11.0    15.0  9XX TERMINAL AVE   \n",
       "4  Other Theft  2003      4   12  17.0    45.0  9XX TERMINAL AVE   \n",
       "\n",
       "  NEIGHBOURHOOD         X           Y   Latitude   Longitude  counter  \n",
       "0    Strathcona  493906.5  5457452.47  49.269802 -123.083763        1  \n",
       "1    Strathcona  493906.5  5457452.47  49.269802 -123.083763        1  \n",
       "2    Strathcona  493906.5  5457452.47  49.269802 -123.083763        1  \n",
       "3    Strathcona  493906.5  5457452.47  49.269802 -123.083763        1  \n",
       "4    Strathcona  493906.5  5457452.47  49.269802 -123.083763        1  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vancouver_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "vancouver_data.columns = vancouver_data.columns.str.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['type', 'year', 'month', 'day', 'hour', 'minute', 'hundred_block',\n",
       "       'neighbourhood', 'x', 'y', 'latitude', 'longitude', 'counter'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vancouver_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "type                 0\n",
       "year                 0\n",
       "month                0\n",
       "day                  0\n",
       "hour             54362\n",
       "minute           54362\n",
       "hundred_block       13\n",
       "neighbourhood    56624\n",
       "x                    0\n",
       "y                    0\n",
       "latitude             0\n",
       "longitude            0\n",
       "counter              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vancouver_data.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.title('Missing values in Datsets',fontdict={'fontsize':'30'},pad=20)\n",
    "ax = sns.heatmap(vancouver_data.isna())\n",
    "ax.set(xlabel='Types of Crime')\n",
    "ax.set(ylabel='Counts')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What are the various types of crime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Theft from Vehicle                                        172700\n",
       "Mischief                                                   70413\n",
       "Break and Enter Residential/Other                          60862\n",
       "Offence Against a Person                                   54142\n",
       "Other Theft                                                52167\n",
       "Theft of Vehicle                                           38418\n",
       "Break and Enter Commercial                                 33845\n",
       "Theft of Bicycle                                           25730\n",
       "Vehicle Collision or Pedestrian Struck (with Injury)       21901\n",
       "Vehicle Collision or Pedestrian Struck (with Fatality)       254\n",
       "Homicide                                                     220\n",
       "Name: type, dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vancouver_data['type'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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S3Va7ux+vvvqqbQrlv//9b8XFxd11n/TAId2atjhw4EDD68ptzZo1s513SEhIhiXr/27evHn65JNPNHLkSO3fvz+vSgQAwxCwAKCASR+pCgsLswWs7O59dbs5c+ZkWBUw3fbt2xUcHCzp1k1na9eubXvtscceU4MGDSTdWi1uypQpGVaQS7dw4ULt2LFD0q3V+ho2bCjp1ihV+g1p16xZk+WX6lWrVtmOW7du3RydT3rb9Htzbdy4UYsWLcq03bJly2yrLfr7+2d7vdr98vf3twWk2NhY9e3bV0eOHMmyfWRkpF5++WVbIOnXr1+OgvLDxtfXV88++6ykWwukvPfee7YRudtt2rTJdoNnX1/fLO+XBQAPM67BAoAC5oUXXtDHH3+sxMREJSYmysnJKcfXKyUmJuqll15S//791bRpU6WlpWnTpk367rvvlJqaqiJFimj8+PF37Dd58mR16dJFZrNZwcHBOnjwoHr06KFKlSrp4sWLWrdundasWSPp1rViEydOzLD/m2++qTfeeENJSUnq27evevbsqccff1wlSpTQpUuXtG3bNi1fvlyS5OPjc0/LwafX17lzZyUkJOjf//63tm/frg4dOqh06dK6cOGCVq9erXXr1kmSihQpounTp+d4sY57NXToUJ05c0arV6/W0aNH1bFjRz3zzDNq1aqVKleuLOnWqN7mzZu1YcMG2wIRbdq00dtvv50rNeWFDz74QL///rvOnz+v9evX68SJE+rbt6/8/f119epVbd26VUuXLpXFYpHJZNKECRMe+KbJAGAPBCwAKGDSVwvcvHmzJKl58+by8fHJ0b6vvPKKvvrqK82aNUuzZs3K8JqPj4/mzJmjqlWr3rFflSpVFBwcrDfeeENnz57Vrl27tGvXrjvaFS9eXNOnT88wAibdCg/Dhw/XjBkzdOPGDS1YsEALFiy4Y/+yZctqzpw5tqXUc6py5cpauHChXn/9dcXGxmrjxo0ZlrJPV6lSJc2YMSPDNUNGc3Bw0Mcff6waNWpozpw5SkxM1Pr167V+/fpM2zs7O2vQoEEaPHhwroW+vODt7a1Fixbptdde05EjR3TkyBGNHj36jnZubm6aMGGCWrZsaYcqAeDBEbAAoABq166dLWDldHqgJPXv31+BgYGaP3++9u3bp9TUVFWuXFlt27ZVjx49sg02tWvX1s8//6ylS5dq48aNOnLkiK5duyYXFxf5+fmpZcuW6tWr1x3Ls6cbOHCgmjdvru+//167d+9WbGyskpOT9cgjj6hq1apq3bq1unXrpiJFitxbZ/x/NWvW1Lp16xQSEqJffvlFR44c0fXr11WiRAlVqVJFzz//vNq1a3ffx78X6ddSde7cWatWrdL27dt19OhRxcXFKTU1VV5eXqpataqaNm2qLl26yNfXN9drygsVKlTQTz/9pFWrVunnn39WZGSkrly5ImdnZ1WoUEFPPvmkevfuneXNjgEgPzBZM5soDwDI16ZOnaqvv/5axYsX16+//ioXF5cs244YMUKrVq2SdOumxFkFIAAAcHcscgEABUxKSootMD3//PPZhisAAGAsAhYAFDCzZs3SpUuXZDKZ7nkxCAAA8GC4BgsA8rnk5GQNHjxYZcqU0cmTJ/X7779Lktq2batq1arZuToAAAoXAhYA5HMuLi46cOCAwsLCbNt8fX0zXaENAADkLqYIAkABEBgYKDc3NxUvXlzPPvusvv/++xwvzQ4AAIzDKoIAAAAAYBBGsAAAAADAIAQsAAAAADAIAQsAAAAADELAAgAAAACDELAAAAAAwCAELAAAAAAwCAELAAAAAAxCwAIAAAAAgxCwAAAAAMAgBCwAAAAAMAgBCwAAAAAMQsACAAAAAIM42buAvLZ37165urrauwwAAAAA+UhSUpIee+yxu7YrdAHL1dVVNWvWtHcZAAAAAPKRqKioHLVjiiAAAAAAGISABQAAAAAGIWABAAAAgEEIWAAAAABgkFxb5GLfvn36+OOPFRwcrGHDhunSpUuSpNjYWNWvX18zZszQoEGDdPXqVTk7O8vV1VVfffWVTp06pXfffVcmk0n+/v4aN26cHBwcNGvWLG3dulVOTk56//33Va9evSzbAgAAAIA95ErA+vLLL7Vy5Uq5ublJkmbMmCFJunbtmvr27av33ntPknT69GmtWbNGJpPJtu+UKVP01ltvqUmTJho7dqw2bdqksmXL6rffflNISIjOnTunIUOGaNmyZZm2bdOmTW6cEgAAAADcVa4M91SsWFEzZ868Y/vMmTPVu3dvlSpVSpcuXVJ8fLwGDRqknj17asuWLZKkyMhINW7cWJLUokULbd++Xbt27VJgYKBMJpPKli2rtLQ0xcXFZdoWAAAAAOwlV0awgoKCFBMTk2Hb5cuXFRERYRu9SklJUf/+/dW3b19du3ZNPXv2VL169WS1Wm0jWu7u7rp+/boSEhJUvHhx27HSt2fW9m6SkpJyvIY9AAAAANyLPLvR8M8//6z27dvL0dFRkuTj46MePXrIyclJJUqUUM2aNXXixIkM11CZzWZ5eXnJw8NDZrM5w3ZPT89M294NNxoGAAAAcK8euhsNR0REqEWLFrbn27dv11tvvSXpVjg6evSoqlSpolq1amnnzp2SpNDQUAUEBKhhw4YKCwuTxWLR2bNnZbFY5O3tnWlbAAAAALCXPBvBOnHihCpUqGB7/tRTTyksLEzdunWTg4OD3n77bXl7e2vUqFEaM2aMpk+fripVqigoKEiOjo4KCAhQ9+7dZbFYNHbsWEnKtO2DsqamyeTk+MDHeZgVhnMEAAAA7MFktVqt9i4iL0VFRd11iuDFOQvzqBr7KDm4t71LAAAAAPKVnOQIiRsNAwAAAIBhCFgAAAAAYBACFgAAAAAYhIAFAAAAAAYhYAEAAACAQQhYAAAAAGAQAhYAAAAAGISABQAAAAAGIWABAAAAgEEIWAAAAABgEAIWAAAAABiEgAUAAAAABiFgAQAAAIBBCFgAAAAAYBACFgAAAAAYhIAFAAAAAAYhYAEAAACAQQhYAAAAAGAQAhYAAAAAGISABQAAAAAGIWABAAAAgEEIWAAAAABgEAIWAAAAABiEgAUAAAAABiFgAQAAAIBBCFgAAAAAYJBcC1j79u1Tnz59JEmRkZFq3ry5+vTpoz59+mjt2rWSpFmzZqlLly7q0aOH9u/fL0k6deqUevbsqV69emncuHGyWCz33BYAAAAA7MEpNw765ZdfauXKlXJzc5MkHTx4UP369VP//v1tbSIjI/Xbb78pJCRE586d05AhQ7Rs2TJNmTJFb731lpo0aaKxY8dq06ZNKlu2bI7btmnTJjdOCQAAAADuKlcCVsWKFTVz5ky98847kqQDBw7oxIkT2rRpkypVqqT3339fu3btUmBgoEwmk8qWLau0tDTFxcUpMjJSjRs3liS1aNFC4eHh8vPzy3HbuwWspKQkRUVFZfl6zZo1DeqFh1t2fQAAAADg/uRKwAoKClJMTIzteb169dS1a1fVqVNHc+bM0eeffy5PT08VL17c1sbd3V3Xr1+X1WqVyWTKsC0hISHHbe/G1dW10ISo7NAHAAAAQM7ldIAiTxa5aNOmjerUqWN7fPDgQXl4eMhsNtvamM1meXp6ysHBIcM2Ly+ve2oLAAAAAPaSJwFrwIABtoUpIiIiVLt2bTVs2FBhYWGyWCw6e/asLBaLvL29VatWLe3cuVOSFBoaqoCAgHtqCwAAAAD2kitTBP9u/PjxmjhxopydneXj46OJEyfKw8NDAQEB6t69uywWi8aOHStJGjVqlMaMGaPp06erSpUqCgoKkqOjY47bAgAAAIC9mKxWq9XeReSlqKiou15/dHHOwjyqxj5KDu5t7xIAAACAfCUnOULiRsMAAAAAYBgCFgAAAAAYhIAFAAAAAAYhYAEAAACAQQhYAAAAAGAQAhYAAAAAGISABQAAAAAGIWABAAAAgEEIWAAAAABgEAIWAAAAABiEgAUAAAAABiFgAQAAAIBBCFgAAAAAYBACFgAAAAAYhIAFAAAAAAYhYAEAAACAQQhYAAAAAGAQAhYAAAAAGISABQAAAAAGIWABAAAAgEEIWAAAAABgEAIWAAAAABiEgAUAAAAABiFgAQAAAIBBCFgAAAAAYBCn3Drwvn379PHHHys4OFhRUVGaOHGiHB0d5eLioo8++kg+Pj6aNGmSdu/eLXd3d0nS7NmzlZKSohEjRujmzZsqVaqUpkyZIjc3N/3www9avHixnJycNHjwYLVs2VJxcXGZtgUAAAAAe8iVEawvv/xSo0ePVlJSkiTpww8/1JgxYxQcHKw2bdroyy+/lCRFRkbqq6++UnBwsIKDg+Xp6anZs2erffv2+u6771SrVi0tWbJEFy9eVHBwsBYvXqz58+dr+vTpSk5OzrQtAAAAANhLrgSsihUraubMmbbn06dPV82aNSVJaWlpcnV1lcVi0alTpzR27Fj16NFDS5culSTt2rVLzZs3lyS1aNFC27dv1/79+9WgQQO5uLjI09NTFStW1KFDhzJtCwAAAAD2kitTBIOCghQTE2N7XqpUKUnS7t27tXDhQi1atEiJiYnq3bu3+vXrp7S0NPXt21d16tRRQkKCPD09JUnu7u66fv16hm3p2xMSEjJtezdJSUmKiorK8vX0IFjQZdcHAAAAAO5Prl2D9Xdr167VnDlz9MUXX8jb29sWqtKvmXriiSd06NAheXh4yGw2q0iRIjKbzfLy8rJtS2c2m+Xp6Zlp27txdXUtNCEqO/QBAAAAkHM5HaDIk1UEV6xYoYULFyo4OFgVKlSQJJ08eVK9evVSWlqaUlJStHv3btWuXVsNGzbUtm3bJEmhoaFq1KiR6tWrp127dikpKUnXr1/XsWPHVL169UzbAgAAAIC95PoIVlpamj788EOVKVNGQ4YMkSQ9/vjjGjp0qJ5//nl169ZNzs7O6tChg/z9/TV48GCNGjVKP/zwgx555BFNmzZNRYsWVZ8+fdSrVy9ZrVYNGzZMrq6umbYFAAAAAHsxWa1Wq72LyEtRUVF3nR53cc7CPKrGPkoO7m3vEgAAAIB8JSc5QuJGwwAAAABgGAIWAAAAABiEgAUAAAAABiFgAQAAAIBBCFgAAAAAYBACFgAAAAAYhIAFAAAAAAYhYAEAAACAQQhYAAAAAGAQAhYAAAAAGISABQAAAAAGIWABAAAAgEEIWAAAAABgEAIWAAAAABiEgAUAAAAABiFgAQAAAIBBCFgAAAAAYBACFgAAAAAYhIAFAAAAAAYhYAEAAACAQQhYAAAAAGAQAhYAAAAAGISABQAAAAAGIWABAAAAgEEIWAAAAABgEAIWAAAAABgk1wLWvn371KdPH0nSqVOn1LNnT/Xq1Uvjxo2TxWKRJM2aNUtdunRRjx49tH//fsPaAgAAAIA95ErA+vLLLzV69GglJSVJkqZMmaK33npL3333naxWqzZt2qTIyEj99ttvCgkJ0fTp0zVhwgRD2gIAAACAvTjlpFFiYqLi4+Pl5OSkJUuWqGPHjipXrlyW7StWrKiZM2fqnXfekSRFRkaqcePGkqQWLVooPDxcfn5+CgwMlMlkUtmyZZWWlqa4uLgHbtumTZtszyUpKUlRUVFZvl6zZs2cdEm+l10fAAAAALg/OQpYI0aMUKdOnbRhwwZVq1ZNY8eO1fz587NsHxQUpJiYGNtzq9Uqk8kkSXJ3d9f169eVkJCg4sWL29qkb3/Qtnfj6upaaEJUdugDAAAAIOdyOkCRoymC8fHxat26tc6fP6+BAwcqOTn5nopxcPjf25jNZnl5ecnDw0NmsznDdk9PzwduCwAAAAD2kqOAlZKSogULFqhWrVqKjo7OEHZyolatWtq5c6ckKTQ0VAEBAWrYsKHCwsJksVh09uxZWSwWeXt7P3BbAAAAALCXHE0RHDVqlDZu3KjBgwdr1apVGj9+/D29yahRozRmzBhNnz5dVapUUVBQkBwdHRUQEKDu3bvLYrFo7NixhrQFAAAAAHsxWa1W690azZ49W6+99prt+bRp0zR8+PBcLSy3REVF3fX6o4tzFuZRNfZRcnBve5cAAAAA5Cs5yRHSXUawQkJCtHTpUh07dkyhoaGSJIubVnK6AAAgAElEQVTFopSUlHwbsAAAAAAgt2QbsDp06KCmTZtq3rx5GjRokKRbC1aUKFEiT4oDAAAAgPwk20UuXFxcVL58eU2YMEGXL1/W2bNnFRMTo3379uVVfQAAAACQb+RokYuhQ4fq8uXLKlOmjCTJZDLp8ccfz9XCAAAAACC/yVHAunTpkhYvXpzbtQAAAABAvpaj+2D5+fnp/PnzuV0LAAAAAORrORrB2rVrl1q2bClvb2/btrCwsFwrCgAAAADyoxwFrA0bNuR2HQAAAACQ7+UoYL333nt3bJsyZYrhxQAAAABAfpajgNWuXTtJktVq1cGDB3XhwoVcLQoAAAAA8qMcBazmzZvbHrdo0UL9+/fPtYIAAAAAIL/KUcC6fUGLixcv6tKlS7lWEAAAAADkVzkKWGvWrLE9dnFx0eTJk3OtIAAAAADIr3IUsKZMmaIjR44oOjpafn5+qlmzZm7XBQAAAAD5To4CVnBwsFavXq169eppwYIFevbZZzVgwIDcrg0AAAAA8pUcBazVq1dr0aJFcnJyUkpKinr06EHAAgAAAIC/cchJI6vVKienW1nM2dlZzs7OuVoUAAAAAORHORrBatSokYYOHapGjRpp165datCgQW7XBQAAAAD5zl0D1pIlS/T2228rPDxcBw4cUOPGjdW7d++8qA0AAAAA8pVspwjOnDlT4eHhSk1N1dNPP62OHTtqx44d+vzzz/OqPgAAAADIN7INWKGhofr000/l5uYmSSpfvrxmzJihzZs350lxAAAAAJCfZBuwihYtKpPJlGGbs7Oz3N3dc7UoAAAAAMiPsg1YRYoU0ZkzZzJsO3PmzB2hCwAAAABwl0UuRowYoddee01NmzZVhQoVdPbsWYWFhemjjz7Kq/oAAAAAIN/IdgTL399f3333nWrVqqUbN26odu3a+v7771WrVq28qg8AAAAA8o27LtPu6empjh07PvAbLV++XD/++KMkKSkpSVFRUZo2bZr+85//qEyZMpKkIUOGKCAgQOPHj9fhw4fl4uKiSZMmqVKlStq7d68+/PBDOTo6KjAwUG+88YYsFkumbQEAAADAHnJ0o2EjdOrUSZ06dZIkTZgwQZ07d1ZkZKRGjhypoKAgW7sNGzYoOTlZS5Ys0d69ezV16lTNmTNH48aN08yZM1WhQgUNHDhQkZGRio2NzbQtAAAAANhDtlMEc8Off/6p6Ohode/eXZGRkVq2bJl69eqlqVOnKjU1Vbt27VLz5s0lSY899pgOHDighIQEJScnq2LFijKZTAoMDFRERESmbQEAAADAXvJsBCvdvHnz9Prrr0uSnnzyST3zzDMqX768xo0bp8WLFyshIUEeHh629o6Ojndsc3d315kzZzJtm5qaKienrE8rfXpiVmrWrPkgp5dvZNcHAAAAAO5Pngas+Ph4HT9+XE888YQkqXPnzvLy8pIktW7dWuvXr5enp6fMZrNtH4vFIg8PjwzbzGazvLy8dPPmzTvaZheuJMnV1bXQhKjs0AcAAABAzuV0gCJPpwj+/vvvatasmSTJarXqhRde0F9//SVJioiIUO3atdWwYUOFhoZKkvbu3avq1avLw8NDzs7OOn36tKxWq8LCwhQQEJBpWwAAAACwlzwdwTpx4oTKly8vSTKZTJo0aZLeeOMNFSlSRFWrVlW3bt3k6Oio8PBw9ejRQ1arVZMnT5Z0a2GMESNGKC0tTYGBgapfv77q1q2baVsAAAAAsAeT1Wq12ruIvBQVFXXX6XEX5yzMo2rso+Tg3vYuAQAAAMhXcpIjJDusIggAAAAABRUBCzlmSU22dwm5rjCcIwAAAHJPni/TjvzLwclFx2Z2sHcZuarqkBX2LgEAAAD5GCNYAAAAAGAQAhYAAAAAGISABQAAAAAGIWABAAAAgEEIWAAAAABgEAIWAAAAABiEgAUAAAAABiFgAQAAAIBBCFgAAAAAYBACFgAAAAAYhIAFAAAAAAYhYAEGSEtNtncJeaKwnCcAAMD9crJ3AUBB4OjkotULnrV3Gbmuff919i4BAADgocYIFgAAAAAYhIAFAAAAAAYhYAEAAACAQQhYAAAAAGAQAhYAAAAAGISABQAAAAAGIWABAAAAgEEIWAByXWpawb9BcWE4RwAAcHfcaBhArnNydNGM74LsXUauGtZrvb1LAAAADwFGsADAjpLTUuxdQq4rDOcIAEC6PB3B6tixozw9PSVJ5cuXV/fu3fXhhx/K0dFRgYGBeuONN2SxWDR+/HgdPnxYLi4umjRpkipVqqS9e/fmuC0A5Bcujs56dsUge5eRq9Z1mGvvEgAAyDN5FrCSkpIkScHBwbZtHTp00MyZM1WhQgUNHDhQkZGRio2NVXJyspYsWaK9e/dq6tSpmjNnjsaNG5fjtgAAAABgD3kWsA4dOqQbN26of//+Sk1N1ZAhQ5ScnKyKFStKkgIDAxUREaGLFy+qefPmkqTHHntMBw4cUEJCQo7b3k1SUpKioqKyfL1mzZoPeqr5QnZ9kBX6JmuFpW8k+ic79E3W7qdvAADIj/IsYBUpUkQDBgxQ165ddfLkSb3yyivy8vKyve7u7q4zZ84oISFBHh4etu2Ojo53bMuubWpqqpycsj4tV1fXQvOFJjv0Qdbom+zRP1mjb7JG3wAA8ruc/rEwzwKWn5+fKlWqJJPJJD8/P3l6eurq1au2181ms7y8vHTz5k2ZzWbbdovFIg8PjwzbsmubXbgCAAAAgNyUZ6sILl26VFOnTpUknT9/Xjdu3FDRokV1+vRpWa1WhYWFKSAgQA0bNlRoaKgkae/evapevbo8PDzk7Oyco7YAAAAAYC95NtzTpUsXvffee+rZs6dMJpMmT54sBwcHjRgxQmlpaQoMDFT9+vVVt25dhYeHq0ePHrJarZo8ebIkacKECTluCwAAAAD2kGcBy8XFRdOmTbtj+w8//JDhuYODg/7973/f0e6xxx7LcVsAAAAAsAduNAwAAAAABiFgAQAAAIBBCFgAAAAAYBACFgAAAAAYhIAFAAAAAAYhYAEAAACAQQhYAAAAAGAQAhYAAAAAGISABQAAAAAGIWABAAAAgEEIWACAh1ZyWqq9S8h1heEcAaAwcbJ3AQAAZMXF0UnPLZtn7zJy1ZrOr9q7BACAgRjBAgAAAACDELAAAAAAwCAELAAAAAAwCAELAAAAAAxCwAIAIB9KTkuzdwm5rjCcI4CCh1UEAQDIh1wcHfXC0hX2LiNXrezSwd4lAMA9YwQLAAAAAAxCwAIAAAAAgxCwAAAAAMAgBCwAAAAAMAgBCwAAAAAMQsACAAAAAIMQsAAAAADAIHl2H6yUlBS9//77io2NVXJysgYPHqzSpUtr0KBBqly5siSpZ8+eateunWbNmqWtW7fKyclJ77//vurVq6dTp07p3Xfflclkkr+/v8aNGycHB4dM2wIAAACAPeRZwFq5cqWKFy+u//u//9OVK1f04osv6vXXX1e/fv3Uv39/W7vIyEj99ttvCgkJ0blz5zRkyBAtW7ZMU6ZM0VtvvaUmTZpo7Nix2rRpk8qWLZtpWwAAAACwhzwLWG3btlVQUJDtuaOjow4cOKATJ05o06ZNqlSpkt5//33t2rVLgYGBMplMKlu2rNLS0hQXF6fIyEg1btxYktSiRQuFh4fLz88v07be3t55dVoAAOAhlJxmkYtjwb4SojCcI5Af5VnAcnd3lyQlJCRo6NCheuutt5ScnKyuXbuqTp06mjNnjj7//HN5enqqePHiGfa7fv26rFarTCZThm0JCQmZts0uYCUlJSkqKirL12vWrPmgp5ovZNcHWaFvslZY+kaif7JD32TtfvpGon+yQ99kr2bNmuq67IDB1TxcQjrXue/+AZB78ixgSdK5c+f0+uuvq1evXnr++ecVHx8vLy8vSVKbNm00ceJEtW7dWmaz2baP2WyWp6enHBwcMmzz8vKSh4dHpm2z4+rqWmj+U8oOfZA1+iZ79E/W6Jus0TfZo3+yRt9kj/4B8k5O/6CRZ+PKly5dUv/+/TVy5Eh16dJFkjRgwADt379fkhQREaHatWurYcOGCgsLk8Vi0dmzZ2WxWOTt7a1atWpp586dkqTQ0FAFBARk2RYAAAAA7CHPRrDmzp2r+Ph4zZ49W7Nnz5Ykvfvuu5o8ebKcnZ3l4+OjiRMnysPDQwEBAerevbssFovGjh0rSRo1apTGjBmj6dOnq0qVKgoKCpKjo2OmbQEAAADAHvIsYI0ePVqjR4++Y/vixYvv2DZkyBANGTIkwzY/Pz8tXLgwR20BAACQubQ0qxwdTfYuI1cVhnPEwytPr8ECAACAfTk6mvTDskv2LiNXdevsY+8SUIixticAAAAAGISABQAAAAAGIWABAAAAgEEIWAAAAABgEAIWAAAAABiEgAUAAAAABiFgAQAAAIBBCFgAAAAAYBACFgAAAAAYhIAFAAAAAAYhYAEAAACAQQhYAAAAAGAQAhYAAAAAGISABQAAAAAGIWABAAAAgEEIWAAAAABgEAIWAAAAABiEgAUAAAAABiFgAQAAAIBBCFgAAAAAYBACFgAAAAAYhIAFAAAAAAYhYAEAAACAQQhYAAAAAGAQAhYAAAAAGMTJ3gU8KIvFovHjx+vw4cNycXHRpEmTVKlSJXuXBQAAAKAQyvcjWBs3blRycrKWLFmi4cOHa+rUqfYuCQAAAEAhZbJarVZ7F/EgpkyZonr16um5556TJDVv3ly//vprlu337t0rV1fXvCoPAAAAQAGQlJSkxx577K7t8v0UwYSEBHl4eNieOzo6KjU1VU5OmZ9aTjoFAAAAAO5Hvp8i6OHhIbPZbHtusViyDFcAAAAAkJvyfcBq2LChQkNDJd2a/le9enU7VwQAAACgsMr312ClryJ45MgRWa1WTZ48WVWrVrV3WQAAAAAKoXwfsAAAAADgYZHvpwgCAAAAwMOCgAUAAAAABiFg4aEQGxurY8eO2buMh5bFYrF3CciHbty4Ye8SkE+l/z7md8+duLIiaykpKfQPIAJWnrBarfwnlY29e/eqd+/eunLlitLS0uxdzkPJwYEf1czwecnc7t27FRsbq99//11nz561dzkPHT432YuLi1PXrl0VFxfH757bpKWlyWq1ymQy2buUh9KOHTu0ZMkSbdq0yd6lPHSsVquOHj2qEydO2J7jfwri72R+c+aytLQ0mUwmOTg4KCkpyd7lPDRuD53+/v7y9vaWxF/cpcwD+ZYtWzRhwgQdPHjQTlU9XNL7x9HRUZJ08+ZNe5bzUAkJCdG7776rmzdvateuXfr000+1Z88ee5dld6mpqbbHfG7uZLFYbF/6vL299Y9//EPffvutpML9ZfDGjRu2P1I4OjrKZDLp0KFD+vXXXxUXFyeJUb70z8cTTzyhVq1aafHixQoLC1NycrKdK3t4XL9+XadOndKMGTN07tw5e5fz0En/nVyQPjOO48ePH2/vIgqaM2fOaOTIkXr++efl4OCguLg4zZ07V7Nnz5bZbFZSUpLKlStn7zLtxmKxyMHBwfZXwKioKAUHB+vAgQPq3LmzLZAWRn/vG0n6+eefNWTIEI0dO1Z16tSxY3X2l/7X4/T++eOPP/TBBx9o3759cnd3V/ny5e1coX2kf8EzmUxKSUnRX3/9pRo1amjRokU6c+aMnnnmGZUpU6ZQ/vX9xo0bmjdvntLS0lS+fHmZTCaFhIRo7Nixio2N1blz51SrVq1C2TcWi8V2zuk/V+fOnZOHh4eqV6+uadOmqUePHnJycrJzpfYza9YsHT58WP7+/nJ0dNSUKVO0cuVKFStWTNOnT9eLL75YKPsnPVSlf26Sk5O1e/duPfroo/Ly8tL27dtlNpvl7+9v50ofDq6urqpSpYpSUlIUGhqqhISEQntLocTERK1du1axsbGqUqWKJGnjxo2aPn26oqOjVbp0aT3yyCN2rvLBFc5vsbkkfYizQoUKOn36tLZu3SpJWrZsmdzd3fXll1/q8uXLCg4OtmOV9hEaGqrz589LujXd7dq1a/r666+1du1aeXp6asKECXJzc5Obm1uh+8/q9r9+Ojg4KDk5WfPnz9eoUaMUGhqqoKAgFS1aVCVKlJBUMIfS7yb9nNO/DCYkJGjevHmaP3++Bg8erPr162vSpEn2LNEurFarrFZrhlC+a9curVmzRhs2bNBHH32kF198UcePH5ekQhUgLBaL0tLS5ObmpsTEREVGRiolJUX79u3Tzp079f3336tp06aaNWuW4uLiClXfSNKePXv0zTff2H62Dh06pHHjxun111/XmDFj9Mgjj6hhw4b65ptvJBWuUazbf8e2atVK586d019//aWEhARJ0syZM1WjRg3FxsZq3bp1kgpP/9w+TTI9WElSeHi4fvjhB0lSQECA6tSpUyhHsRISEpSSkpJhm9ls1nfffacdO3aobdu2qlmzpkJCQgrdyGf6z4ijo6Pi4uJ08OBBpaWlac+ePVq3bp3GjBkjV1dXffrppzp9+rSdq31wBCwDpQ9xStKbb76p+fPnS7o1QlOkSBGNGTNGMTExqlSpkk6dOmWvMvNU+g+U1WqVm5ubJCk6Olr/+te/JEnHjx/X0qVL9cQTT6hixYr67rvvJBWOELF//35Jd15f9d577+nmzZsaNmyYPvvsM/3xxx8aPHiwPvnkE3uU+VBwdHSU1WrVihUrtHbtWt24cUMmk0lOTk5q3LixunTpInd3d23evNnepeap9C85hw4d0syZM/Xbb7+pWbNmGjNmjFJSUlS1alWVKVNGJ0+e1F9//WXvcvNM+khw+u/kLl26KDo6WpGRkYqJiZGrq6s+/PBDLV68WE2aNFFkZKSkwvElOX2qZJ06ddS3b1/bogQrVqxQkyZNtHjxYqWlpWnJkiUaNGiQVq1aJalwhfP0z83WrVtVtWpVeXl5KTIy0nZN4z//+U/t2bNHH3/8sW2aYEHvn9u/HJtMJp05c0Zz587VwIEDJUmNGzfW6dOnZTab5eHhoRo1aqhYsWI6fPiwPcvOM+mfgx07dmj79u2SpG3btkm61We//vqrKleuLBcXFz311FPy9vbW2rVr7VZvXoqIiJD0v58RV1dX3bx5U2fOnNGhQ4d06dIlJScnKywsTOHh4XJyclJiYqI9SzYEAesB/Pjjj9q4caPt+ebNmzV06FCNHj1aTZo00cWLF3XixAmVLl1aP/74o1555RVNmDBBRYsWLdBT4JKSknTt2jVJ//uBCgwMVEhIiOLi4rR7925169ZNzz//vPbv36+YmBgdO3ZM7du315IlSyRlDKsFidVqVXJysqKjo9W7d29Jt1ZQnDdvng4fPqzz58+rfPny8vf319dff237xdynTx+tW7dOFy9eLLB9k85isdzxl72oqCh16dJFu3btUnh4uBYuXChvb29Vq1bN9su7Q4cOmj59uj1KzhMJCQm6fv36Hds3bNigiRMnqlKlSlq+fLn279+vRo0ayWw2a+/evXryyScVHx+voUOHKjo62g6V542IiAgtWLBA0q0/Whw/flwTJkxQ7969de3aNbm7u+vEiRNKTEzU2bNn5evrq88//1wBAQG6cuWKpIL/JVmSbYZAamqq1q9fr4kTJ+ry5ctq0qSJ4uLiNGnSJBUpUkShoaEqW7as3N3dFRISYueq81ZoaKh69Oih+fPn6+eff1alSpV0+PBh20yCli1bqn379lq/fr0SEhIKxfXV6T8bZrNZ77zzjiZOnKjHH39clStX1owZM7Rz5061b9/eFjS8vLxktVptMy8KmvTAeebMGUVHR2vlypWyWq1KTEzUZ599pqVLl2rKlCm26xirV6+u0NBQSZKLi4uaNm1a4K/FSv9//M8//1R8fLykWwH0hRde0IULF5SYmKjw8HC5uLjoxIkTiomJ0aJFi9SwYcMCsTgT12Ddh7S0NDk4OMjX11e1a9eWJJ08eVJz5sxRnz59VLJkSdWsWVNJSUnaunWrBgwYoFOnTun48eP65ptv5O3trdatWxfIL8rx8fGaMGGCfHx8VKFCBe3Zs0cxMTHy8fHRihUrdOXKFZUrV07Dhw/X9evX9fLLL6tixYp65JFHVK9ePducbVdXV3ufiuEsFov27dun8+fPq06dOtq3b59++ukn7d27V5cuXdLu3btVpkwZrV69WpGRkerWrZsGDRqko0eP6vHHH5eHh4cqVKggLy+vAvlF8PZpJyaTSRcvXtSFCxf0yCOPaPny5apVq5aGDRum6tWr6+TJk4qPj5ePj48OHjyoZs2aqW7duipXrpwqV65s71Mx1JkzZ7Rjxw6tX79eRYsWVbly5RQREaEbN26oRIkS+vbbb9WrVy/5+voqJCREHh4eevTRR5WamqrNmzfrhRdeUO3atfXMM88UuL6Rbl0U7ejoqJIlS6pu3bq26ZKTJk2Sn5+funfvrlKlSsnX11c7d+5UvXr15O3trXPnzum///2vzp49q27dusnLy8vep2K49AVzbv+D3qJFi/Txxx/r1KlTqlOnjjZv3qzHH39c5cuX1x9//KHXXntNJUuW1E8//SQXFxe9/vrrqlu3rpydne14Jrkj/Rq09C/L27dv119//aXDhw+refPmeuedd1SlShU1aNBAGzduVJkyZdSgQQPblK+GDRtqwIABBW5a+19//SUPD48M22JiYrRy5Ur5+vpq6dKlatOmjdq2bWv7f3v69OmyWq3q1KmTHBwc5OHhoZCQEPn7+6tMmTJ2OpPcYzKZdPToUXXq1Envv/++6tevrytXrmjz5s3av3+/WrdureHDh2vPnj1atGiRGjRoIB8fH1WuXFkODg7avXu3vL29VaNGjQJ3/efti7tJUsOGDbV06VLVq1dPa9asUdu2bdW/f395enravh+WLl1aly9f1tKlS3Xs2DG1adNGJUuWtPOZPBgCVg4dOnRIcXFxKlGihO1D4+bmpvHjx+vatWsym806evSoXn31Vfn5+encuXPy9fXVZ599pueee05du3aVJL366qt66qmnCly4Sg+drq6uOnbsmA4dOqT169dr1apVOnv2rE6ePKkuXbpo3rx56tevn0JDQ9W9e3edPHlS3377rerXry8/Pz81atSoQIWrkydP6o8//pCHh4c8PDwUGRmpOXPm6MaNG2rZsqXmzp2rhQsX6vnnn9fGjRtVpUoVWa1W22do2rRpKlu2rAICAtSgQQMVK1asQP0ilu5cuCIuLk6fffaZZs+erSJFiqh06dI6d+6cDh06pNatW6tYsWLauHGjGjVqJC8vL6WkpKhatWpydnYuUAFi165dmjZtmn799Vc1bNhQFy5c0LFjx7R48WJt2bJFhw8fltVqlZOTk8aNGydfX1+9/vrrMpvNthDh5uamatWqydPTs0AFiKtXr2rLli22hQekWyMzCxcu1KpVq1S/fn398ssvGjNmjHx9feXq6qojR47o4MGDcnZ2Vq9eveTj46O2bduqR48eBapvbpf+JefmzZs6fPiwLly4oB9//FEjRoyQj4+PnnjiCUVFRenKlStKTEzU9u3btXz5ch04cECvvPKKOnToIA8PjwIVrm5fEMZkMunKlStyc3NTfHy8vv76azVv3lxff/21goKC5Ovrq5SUFK1YsUIWi0V79uzRs88+q2bNmql9+/aqW7euJBWoL8jXrl3TtGnT1LJlSzk4OOjMmTMqVqyYoqOjtXPnThUvXlz169fXypUr1aFDB7m5ualGjRpKSUnR7t27VaNGDZUuXVppaWk6f/686tatW6B+vm7//JQoUUI7d+6UJJ04cUL//e9/NWTIEFWrVk3h4eEKCgpSo0aNtGnT/2PvPKOqura//dAPvUlHunQRQaSIgqBYoom9YNRo6rDcRJMYryVFk2iMGmM3sRcUjBjRYFcUFaVZkCgISFNApCOds98PjrMDmnvHfe/fxMuR54vxELZ77bP2XGuuOedvnuX48eN4eXmJoh9FRUXk5OTQu3dvuZg7DQ0N3L17F2NjY/GQ6969e6SkpODg4MDs2bNxd3cnOzub3Nxc+vXrJ6ZJCoLAO++8g6KiIj4+Prz//vsd3rmCTgfrP2bNmjU0NjZiYmLC3r17iYuLw9jYGH19fWJiYpg4cSIREREMHToUdXV1li1bhre3N127dkVFRQUrKyusra3laqFqi8zpvH//Pu7u7sTGxqKnp8fatWsxNzcnLi4ODw8PHj9+TE1NDXPnziUpKYmSkhK++OILnJ2dX/IIXix5eXl89913HDlyhObmZk6ePMm9e/fw8PAgIiICU1NTJkyYwPHjx9HT08PZ2Zn6+nqSkpIYMWIEjo6O3L9/n7lz5xISEiKXKaXPOlY3b94kJSWF4uJijh07RnR0NKWlpQiCIKa/6ejokJycTFxcHEOHDsXHxwdPT09UVVXlYpGCp5L8P/74I1u2bMHZ2ZlvvvkGW1tbWlpauHz5Mo6OjqxYsQKJRML+/fuZMGECV69eZezYscTGxpKQkEBgYCB2dnY4OTnJ1dyRzRnZHNDT0yMtLY2ff/4ZRUVFAgICWLduHVOmTGHHjh3Y29tjbm7OiRMnKCsrIygoCKlUiqOjIyYmJujq6r7sIb1Q2m7+ZH/fs2cP3333Hba2tpw5cwZbW1uGDBmCqakpBQUFNDQ0cPToUcaMGUP37t2xs7Pjww8/xM7OTm7eKVmUs61Ka1FREUpKSowcORJra2ucnZ05efIkdnZ26OjocPr0abp3785vv/1GYmIiixcvxsHBga5du4rXlR0sdvTnJBPLUVBQQCKRMGDAAHJzc8nPz2fJkiUMHToUY2NjysvLuXfvHqGhoVy5cgV1dXVsbW2Bp+1WysrK8PLyQldXF0VFRXR1dbG2tn7Jo3uxyNasBw8eoKOjg5mZGT/++CNffPEFUVFRODs7Y2pqSkpKCgoKCtja2tKnTx+qqqooKioiMDAQeOpgdevWDVNT05c8onvHlksAACAASURBVP87giBw+/ZtampqsLKyorGxkRUrVrBr1y4qKytRVlbG19eXPXv28M9//pMlS5bg6enJxYsXuXv3Lk5OTri4uGBnZ4e5ufnLHs4Lo9PB+hc8u1BpaWlx+vRpLly4gJqaGrq6upw6dYrBgweTkJCAra0tSkpK/Prrr0RGRqKkpERQUBCBgYFYWVm9zKG8cGT9UmSpFQoKCkRGRvLdd99x/vx5bG1tqampQU1Nje7du6OtrU1RUREZGRmEhYURFRXF2LFj8fT0JCAgQBS/kAeKiorQ1tbmwIED2NrasnjxYvr27Yu/vz+rV6+mZ8+e9OnTh7KyMnx8fLCwsODnn39m/Pjx2NnZcfbsWby8vHBwcMDb2/u5NA154NlNSWtrK9u2bWPHjh307NkTFxcXioqKOHHiBA8ePCA1NZWmpiYmTZrEpUuXyM/P57PPPmsn/ytPJ8jHjx9nyJAh+Pn5UVtbi5WVFbq6uujr65OTkyO+V2ZmZsTHx2NqasrUqVM5f/48JiYmfP7553LnOMAf8wae2uOHDx9y6NAhKisrCQ4OZuXKlbz22msUFBRQX19Pnz59OHnyJIcOHSI1NRVfX1/69euHo6Oj3MyVZ5Ft/vLz86murkZPT4+oqCiUlJT46KOP0NTUZOPGjUyePBklJSWWLFnCpEmTUFRUxMHBAUdHRxwcHF72MF4o2dnZrF27lpCQEBQUFLhz5w7Lly9n586dWFhY4OLiQlZWFlevXsXPz4+amhqGDx9OdXU1O3fupKGhgenTp9OlS5fnpKPl4fCipaVFFK6oq6tDRUWF7OxsXn/9dZYsWcLZs2fR1dXFwcGBqqoqrl69ipmZGV26dCE5OZng4GDgad1aTEwMI0aMENd0eZDazs3NpbCwEGNjY+Bpa5A1a9YQGRlJaWkpI0eOJCYmBnNzc0xMTEhOTqZ///48efKEVatWYWNjQ7du3cjJycHFxUXMsrC0tOzwqZOyFFsFBQXMzMxQVFTkzp07aGtrExkZSUREBGFhYdja2uLo6MjmzZsJDAxk+PDh/Pbbbzx69Ih58+bh7+8vd1ldAAidCIIgCFKpVKirqxMuXrzY7vPs7Gzh5s2bgiAIwrJly4SFCxcKgiAIlZWVwnfffSccOnRIOH36tDBt2jRBEAQhMzNTSExM/Htv/m+kublZ/O/6+nqhqalJaGpqEubNmyfcvHlTqKqqEqRSqZCWliZ8/vnnwo0bNwRBEIT4+Hhh2bJlQlVV1cu69b+c4uJiYf78+UJVVZUwfvx4IT8/XxCEp89JEAQhKipKeOutt4Tm5mZhzpw5QmJiotDc3Cz4+fkJCQkJL/PW/3KKi4uF1tbWdp/FxsYKe/bsEWpra4Xt27cLCxcuFMrKygRBEISsrCzhwoULgiAIwpIlS4Rz584JgiC0u4ZUKv2b7v6vRTamlpaWdp/X1tYK8+bNE06ePCk0NjYKgiAIx48fF3744Qfh9u3bgiA8nVPLli37e2/4b0D23V6/fl14+PCh+HlNTY1w/PhxobGxUbh06ZIwffp00d5u2rRJWLhwoVBYWCj07dtXkEqlQk1NjTh35JG2c0YqlQrFxcXCZ599JkyePFlYu3atsGbNGuHevXvCiBEjhOrqakEQBOEf//iH8NVXXwnjx48XPv/8c6GysvJl3f5fxt27d4V169aJNlgQBNG2rFy5Uti+fbtQVVUlFBYWCoIgCBUVFcKkSZOE8PBwIS4uTvyd2trav/fG/yauXLkifPnll+Lfy8rKhNWrVwtDhw4VtmzZIkilUmH27NnC4cOHhbNnzwoffvihUFVVJRw+fFiYPXu2EBUVJdokGVevXhUyMjL+7qH8Zchs0O+//y4sXLhQyMrKEh49eiQsXrxYuHr1qpCVlSV89NFHwqVLl4T4+HghPDxcaGpqEoYOHSrcuXNHEARBePz4sSAIgpCeni5Mnz5duHbt2ksbz4tCKpU+t1alpKQIjY2NQnR0tDBz5kyhtLRUCA8PF/Ly8gRBEITDhw8LMTExwrZt24Tp06eL15F3XvkIVlsPPDMzk3/+859MmTKF2tpavv76aw4dOiT2wLCysqKoqAgbGxuMjIyoq6vjxIkTjBw5kqqqKtzc3DA1NZWrJsLNzc3Ex8ezZs0aQkNDUVFRobS0lJUrV3Lo0CH09fVpamri5MmTvP/++6ipqVFcXExSUhIFBQViPYilpSVBQUFyVV8FT5XLsrKysLS0pKysDACJREJZWRl9+vRBXV1drIOwtrYmNjaW4cOHU19fz+bNmxEEgdmzZ+Ph4SFXURgZV65c4bvvvuPMmTPcvHmTwMBAGhsbmTt3LuXl5SgqKpKYmIi5uTmNjY0IgoCdnR2lpaXs27ePHTt24OrqysiRI8Wol9Cm95M8IPvO246npaUFiURCeXk5GRkZYtqSvr4+ly9fprGxEXd3d1xcXOjXr9/LuvW/DAUFBWpqapg1axZDhw5FR0eHXbt2sWLFCpqbm8nMzERBQQEjIyOKi4vx8vLCw8ODBQsWMG3aNKqrq7GyssLY2FhMYZInZOuWbM48fvwYTU1Nbt68iaKiIl999RVZWVkcPXqUkJAQampqyMrKolevXgQHB2NjY8OAAQMYNWoUEonkJY/mxZGSksLq1avFTJOUlBQaGhqoqqpi1qxZhIeH8/PPPzNjxgwMDQ2RSCQcOnQIe3t7evfuzd27dykuLiYoKAh4qvYmtEmfkxc0NTVZvHgx48aN49KlS/z000/Y2Ngwffp0UlNTefToEcOGDePbb79l0aJF/P7776xdu5bq6mpmz55NYGCgGHGQRZYtLS07vGJg2++6bTP7zZs3U19fj6urK2pqapSUlHDy5Emam5spKChg6tSprF69msDAQPr06YOjoyPKyspoaGgAoKury6hRozr83lCWYquoqEhrayvZ2dksWrSIw4cPA+Dg4MDjx4+prq7G3Nyc2NhYXFxcOHDgANbW1kycOJEhQ4aIEVN555V2sPLz89HT0xP/Xl5eTnNzM97e3ty9e5f79+/z448/kpeXx7FjxwgJCeHevXsoKCjg5OSERCJBU1MTV1dXAgMDUVVVfYmj+Wv45JNPOHr0KDNmzBBzqZctW4alpSVz5szh5s2b9OvXj3379mFgYEDXrl3ZsmULhoaGjB49Gmtra4yMjOQu/CtbVOLi4rhx4wY9evSgqamJU6dOMXLkSPbv34+dnR2mpqbi2M+cOYOCggJ9+/bF1taWvn37EhgYiIGBASBfEtG3bt3i448/JjMzk3HjxjF79mx2796NIAioqamRnp7O119/zblz57h+/To+Pj7U19fz8OFDbGxsxJqId955Bx8fn3bOR9vFryMi2xzLyMjIYMWKFWhra2NpaQnQLu3i3LlzGBgYYGlpiZaWFurq6nh5eaGtrS03TiZATU0Nra2tqKioiPMkJSUFPT09rKysOHbsGBs2bEBLS4uoqCh0dXWxtLQkNzcXfX19zMzM0NLSwtjYmGHDhrWz7fLCs+m1SUlJfPHFFxw5cgQ/Pz9Onz7NrVu3iImJQVlZmQEDBqCsrIyNjQ2HDh1i1KhRqKioYGBgIBfpW20pKChg1apVaGtrs2bNGvr168e9e/cwNTXF39+fyMhIfH19yc/PJzc3l969exMfH8+VK1d47bXXMDAwENUoHR0dxet2dHvzLK2trWhqapKTk0Nubi59+vTh/PnzhIWF4enpCTxN9xszZgynT59GUVGRadOm0a9fP0aPHi2uVzJHRB5sUHJyMgYGBqioqIjNk6Ojo6mrq8PZ2Vl0KEaMGEFjYyPZ2dnMmzePmpoaYmNjsbOzY8qUKdjZ2WFpafmcqmRH3v+0Xa8UFBSor69n//79fP/99xQWFjJx4kTCw8NJTEwU9QaSkpKYMWMGubm5HD58mICAAMaMGQN07Gfx/0vHfzP+S+rq6pgxYwY7d+4UG5pVV1eTk5ODuro6giBw8eJFJk+ezJMnT0QD7OPjQ3p6OrW1tXTt2pXXX38dTU3NlzyaF0d1dXW7Jr+9evVCVVWVw4cP4+/vDzx1TNXV1VmwYAHx8fEcPHiQSZMmcfv2bcLDw6mrqxNlf+3t7V/WUP4SZM9GZiTeeOMNGhoauHHjBjY2NjQ3N/Pw4UMGDx7Mb7/9xvbt22lubiYiIoL9+/fj7e0NPFWglLfavLbk5uZibm7O559/TlBQEC0tLbi5ueHu7o66ujqXLl0iPDycgIAA3n//ffHdatsjTubQt7a2ykUDWNkY2m5I4uPjmTNnDq6urvj5+YmfyyJ1hoaGWFhYcP36ddFO9e7dGxMTk7/35v8GFi5cyLfffktaWhoKCgpUVlZiZGQkigOdOHGCyZMnc+TIEcaNGycKMqiqqlJaWgpAeHi4XClJQvvmxzK7c/DgQTZu3MipU6dYsGABAQEBbN++nZCQELKzs5k1axbTpk0jMTGRpqYmfH192bp168sawl/GhQsXxO++S5cuDBw4ECcnJ6RSKRcuXOCnn34iKSmJzMxMZsyYwaZNm5g5cybV1dW8/fbb7N+/X4wA5+bmsn37drnZAJaVlfHkyZN/+fOZM2dy8OBBLCwssLW1JT8/n6amJrFG8ezZs3zyySfivDEzMxNl/0E+DgRjYmJ49913OXToEFVVVbS2thITE8M777xDZmYmS5YsoaKigvDwcKqrq0WF5JSUFN5++20uX77MokWL8Pf3F+vw5QGZzXk2UyQ1NZX58+dTVlbGnDlzePLkCRUVFZiammJqasqDBw/Q1dWlpqaGnJwcZsyYwYYNG5gwYcLLGspL5ZWNYKmoqODk5MTVq1dJT0/H398fCwsLIiMj8ff3R0NDg7t37+Ll5cV7773HL7/8QktLC6NHjyYgIEAM/coT+/btY8aMGZiYmODs7IwgCKSlpWFtbY2enh7Xrl3DysqKefPmUVxczLvvvouLiws7d+5kzpw59OnTh5CQEIYOHSpXp8fl5eU8fPgQAwMD0djEx8dz/vx5nJ2daW1t5caNGzg7O6OkpERrayuhoaEYGxuTmJhIREQEra2tzJ49W3Sw5BXZqaaOjg55eXlUVFSQkpLCxo0bUVdXZ+jQoUgkEh48eICFhQXOzs789NNPqKmpMXToULy8vJ47sOjIKl1tU4tkf0ZFRbFz504aGxvp27cvcXFxDBw48DmHW/a7Tk5O+Pj4oK2t/bff/19JdnY2MTExWFhYoKmpiZeXF42NjWzcuFFMC9yzZw+mpqY4ODhQVlbGo0ePWLduHRcvXuTSpUuMHTsWb2/vdoIn8sSzqWmXL19m4cKF6OnpIQgCv/32G3PmzMHZ2Zlt27YxatQodHV1SUpKIiIiAj8/P15//XUUFBTkqldTU1MTP/74I3fu3KFfv36oqamhoqJCU1OTqMJZW1vLW2+9hZ6eHrNmzWLlypV89dVXhISEMHr0aJydnXnrrbfaiXoEBATg4+PzEkf2f6elpYW7d++yY8cOLCwsMDY25sSJE7S0tNClSxcUFRVpaWlBX1+fa9euUV1dTUhICEeOHMHe3h5ra2usra1xd3entLSUpKQkgoKC0NTUlJtoXnJyMiNHjsTIyIixY8cyZcoUtLS0UFRU5PTp00yfPp0RI0YQExNDVVUV/fv35/Hjx+zZswcnJycxJXnGjBntVCXlgatXr3L27Fns7OyQSCTcvn2bQ4cO0drairm5OZcuXcLLy4vQ0FDy8/OpqakRVaBv376Nvb09b7zxhtwddP03vBIO1r/KoTY3N8fV1ZV9+/ZRXV2Njo4OdXV1eHp6YmxsjJ2dHdevX2f37t34+voyadIkFBQU5OaU4lnq6+tJS0vj8uXLdOvWja5du5KRkUFmZiZ+fn7k5+eTmJjI+PHj2b9/PxcuXOCXX35h2LBhuLu7o6CgIFfRvNraWpSVldtJ8stkazMyMmhqamL//v3MnTuXY8eOYWRkRHZ2Nvb29piYmGBkZERQUBChoaEMHDhQTK2QJ9oqu8EfToS2tjYlJSVERkZSX1/PggULGDZsGMrKyqiqquLt7U15eTmXLl3i7bffZsiQIeI15KHeIScnBx0dnefSZzZv3kxubi4fffQRK1asQFNTEw0NDbKysvD19W1nW2TPQCKRyF36cXV1NcuXL6dnz5706NEDeKoM6Obmxp07d7h+/TqmpqYYGBhQUlJCz5496dWrF48fP2bLli3o6Ojw4Ycfoq2tLXetL57t01RSUsJvv/0mqnStXLmS3bt307t3byIiInB1dcXW1pabN2+SmprKhx9+iLu7O+Hh4eKzlRdk6UpKSkpER0djYWGBvr6+qPCmq6tLSUkJysrKLFu2jG7dumFlZcXdu3d57bXXMDQ0xMzMDAMDA7p06QL8YcMkEkmHTptsamri0aNHnDp1iuDgYG7cuMGdO3fYvXs3t2/fJj09ndbWVrp16yYqB8qUbj/77DPS0tJwdXXFwMBATJdLTU0lICAAV1fXlz28F4qGhgbbt29nz549mJubU11dTWpqKubm5qiqqnLo0CESExMJDg5m69at+Pn54e/vT05ODkFBQfj4+GBnZwc8n/LdEWlpaWnXaufmzZtoaGgQHx/P9u3bcXNzY9++fZiZmVFfXw+Am5sb6urqYgq7t7c33bt3x8HBQS4DEP8Ncu1gtRWwUFBQoKysjMbGRjEFUBAEtLW1cXJyIi0tjdTUVJKTkxk1ahRqamoYGRnRs2dPxo0bh4eHx8sezl+Onp4eUqmUkpISWlpaKC8vp3fv3uTl5WFpaUlraysnT57E2dmZcePGidK/PXr06NBRhn9FdHQ0giAQGBhIWVkZJSUlSCQSqqqqmD9/PoIg8PPPPzNixAikUikPHz6kvLyciooKvLy8xOvI2+a4LTKjnJycTGtrazt5cE1NTR4/fkxYWBju7u5A+82Mm5sbISEhYrrbs8XFHZEnT55QVFTE3Llzee2112hqamLPnj3i6fHVq1cxNTUlJyeHW7duIZFImDRpEj/99BPu7u5ymfono+1Bl5qaGnv27OHJkycoKytjbW0tzg1PT08aGhrYsmULgiCI6cbKysr4+PgwdOhQAgMD5aq9Q1tk70BxcTH5+fl8++23FBUVce7cOcaMGcPt27eprq6mR48e1NfXs2PHDsaPH4+HhwdmZmaYmZnJ3bNpu5bLiI+PF5vUu7i4IAgCqqqqNDU1UVVVRU1NDdeuXWPFihX06NEDPz8/nJ2dMTQ0bHedjl5DVFdXx65duzAwMMDKyorPP/+cqqoqtLW1uXfvHv7+/ixevJjW1lZ+++03XnvtNbEnmImJCb///jtubm4MHjz4uUNAR0dHuYtEtLa2oqGhQV5eHmfPnqWwsJBVq1ahoaGBt7c3EomEhIQEpk6dyuPHj7lx4wbu7u5irb1MyEMe1itBEDh16hTHjh0TS0Csra3JzMykqamJ5ORk3n33XYYMGYKhoSEpKSn4+vpy+fJlDA0N8fLyQkVFhZ49eyKRSOTO7vxfkUsH69lC4IqKCvbs2cOyZcu4e/cuvr6+SCQS8edGRka4urpy7do10tPT8fPzEzc68qZ69+9QVVWlvr6e/Px8Bg0axKlTp0hMTMTb25uePXuSm5uLhoYG7u7uODo6YmdnJ1fRvGcjnXfv3hVVyxITEykrK8PZ2ZnS0lI2btxI9+7daW1t5ezZs4wZM4aUlBTefPNNUYHqVeDKlSt8/vnnJCYmkpKSgrOzs3gKrKurS35+vlhorq+v/6fRrj/bPHU0BEGgtLSUc+fO4e/vz507d7hy5QonTpzg8ePH5Ofn8/DhQ5qbmzl06BChoaEsWrSI5ORk+vXrh5KSEl27du3wKlz/irabEZla5Llz5zh//jyzZ89uJ9ghkUhwdHSkrKyMyMhIjI2N6dWrl3itjr4hfpZno8B5eXls2LCBTZs2kZmZyZtvvsn7779Peno6Dx48YPTo0SxbtowpU6bg7e3NjRs3CAwMREtLS66adLZFZhsuXLggOhOenp7k5+fj7++PjY2N+Bw1NTVJTU1l8+bNWFhY8MknnzBw4EDxWvIQIZchcyrd3d0xMDDg+vXrXLhwgQcPHjBv3jzS09PR1NTEzc0Nc3NzTp8+jUQiwc7OToxiDRo0CB0dHUA+ojEyysrKxOfTFlldkaurK//85z/x9PTkyy+/JCAgAEVFRSoqKkhLS2PdunVoamry1Vdf4enpKVfrlQxZ4OHy5cv07dsXVVVV7t+/z86dOyktLcXFxQUAJycnbGxsWLduHe+99x6FhYWYm5tjaWmJjY2NXB8i/1+QKwfrWVWbzMxM1q5dy8WLF7G0tGTp0qXExsaipqaGnZ2d+P8JgoBEIsHZ2ZlBgwaJ+aSvIjo6OqSnp6Orq8vAgQPZs2cPmZmZhIeHY21tzejRo+XuRAvabwBra2tRVVXl3Llz3Lp1i1GjRuHl5UVqaioWFhbU19ejq6uLk5MTiYmJNDQ0MHr0aEJCQsSFSp6QSqWkpaXR1NSErq6u+Kxqa2s5cuQIM2fOZOrUqURERKCpqSmqLsFTA56bm4uTk9O/TL/pqAtVZWUlJ0+eREdHB4lEQnNzM1u3biUzMxMXFxfi4uKYMGECM2bMoLy8nMePH2Nqaoqenh6NjY2sW7cOJSUl/Pz88Pb2llvnCp5+x0VFRWzdupVffvkFJSUlpk+fTkJCAu7u7pibm4vzSraBcXV1JTQ0lLCwsJd9+y8U2Tj/TIUtJyeHtWvXoqGhwaZNm8jKyhKV3rS0tNi7dy/Tpk3j+PHj2NvbY2ZmJioFdtT36Flk9vdZR2jRokWkpqbSo0cPzp07h1QqZdiwYaxatYpx48aJz1FdXR1LS0vefvttgoOD0dbW/lP5bXlAQUGB8vJyTp48SUREBF27dmXixInExcURHByMuro6OTk5GBkZYWFhQWVlJSUlJfTq1avd4eizh9Idmf+0Bk1XV5c7d+7g4OBAr169aGxsRFlZGR0dHXr37s3YsWMJCQlBS0vrubRdeULWwP7EiROcP3+eU6dOMWjQIBQVFdHW1ubatWvU19ezbds2DAwMGDhwIP7+/qLibSf/GrlwsJ41Dk1NTcybN4+7d+8SFBREUlISenp6+Pv709TUREpKCu7u7mK9kOz3NDQ05LJO5v8HNTU1GhsbOXToEOHh4fTq1Ys+ffpgbGwsd+HfZ+VHi4uL2bx5M6tWrUIQBCZNmiTKZE+cOJHU1FTq6+tRVlbm+PHjJCQkMGXKFGbOnCmXkU7Z82lububGjRskJiZibGwsCpioqqpSWFjI9evXOXbsmFhc7+HhIToLxsbG+Pn5dejahmeprKxk/fr1bNu2DalUSnJyMqdPn8bX15effvqJlpYW5s2bR0pKCjo6OnTv3h1BEMjMzERXV5dx48Zx//59xo4dy4QJE+Rq7kilUoqLi9HW1m73ftXV1TFv3jxsbW0ZPHgw0dHRSKVSAgMD+emnnxgxYgTQfgOjrKwsd/b4/v374rsgG2dMTAybNm2iqKgIfX19BEGgoqKC4OBgVFVVSU1NxdraGldXV9LS0jAyMuK9996Tuw1OXFwcKioqREdH071793aiHPn5+Vy5coU1a9bg4eGBg4MDK1asYM6cOezcuRMTExPs7OxEJ0pXVxc1NTVaW1vblQl0VP7M6czOzsbAwIATJ06gqKhIc3MzVVVV+Pn5UVpaSlpaGkOGDCE+Ph6pVIqrqytubm5/KuIhD1Hh/7YGbcGCBbz77rvt5pusVlg2f+TF+fwzZOPcs2cPI0aM4NNPP8Xd3Z26ujry8vKwsLDg4cOHuLm58eGHH8qVWM5fTYd1sGQykm1PAI8ePcrjx4+xtbUlMTGRmpoaPvjgA3R0dDh79iyDBg2iW7du7Ny5U1TKaYu8vkD/P8gWJ0VFRWxsbMQTIHniz0L8slSlsWPHMnLkSPbs2YOtrS2urq788ssvuLq6UlVVRWlpKcHBwYwYMYJx48bJnYIQPC8nrqSkxM6dO4mIiMDOzg53d3exKFZHR4fz58/z9ddfo6yszLlz57C2tn4ufVSe0nIuXLhAeXk5S5YsITQ0lMDAQKKjo9HX12fIkCFIpVI0NDRwdnbmyJEjBAUFYWxsTEFBAfr6+ri5udGjRw+MjIxe9lBeGKWlpezYsQNTU1N27txJYGBgu01bQkIChYWFzJ8/H3Nzc8zNzfnpp5/4+OOPWb58OV5eXnKb3gZPU2m///57jh8/TlJSEmVlZbi7uxMZGcn58+eZOHEieXl53L59GxMTEwRBEOdQamoq5eXl9OzZk759+2JiYiJXqdkAERER7Nu3j+nTpxMdHU1ERASGhobiGq2mpsayZcsYOnQoWlpaNDY2kpubS2hoKLq6umhoaGBtbf2cjZGHjXFJSQmrV68mJCREjPAmJSUxb948HBwcaG1t5f79+0yYMIHY2FgsLS3x8vJi+fLlPHjwgKCgIPr164eqqmq7rJ2O/lxk/F9q0IyNjcnMzMTBweFPDwHlYf78J+jr61NRUYGZmZnYA05PT4/CwkKGDBnCoEGDcHNze8l32fHocMcWmZmZQPuTzjt37jB58mTi4uI4f/68mLKUlpaGIAgEBQVRU1PDkSNHUFVVZf78+QQEBLzMYfxPY2hoyNixY+VKFrqoqIhbt24BfzgO8fHx/PDDD+Tk5BAQEMDjx4/FUz5PT09SU1PR0dFh4MCBfPrpp2hpaTFlyhSsrKzaiTnIG7J3KyMjg3Xr1pGdnc24ceOYNGmSuLGTnWKpqKhw7949Ro4cSVRUFF999RWvv/76c8pu8rRIbdu2jb59+6Kuri5GNMePH8/58+dxcHBAU1OThIQEunXrxqNHj7h27RoqKiqMHTu2XS2IPLFp0yZqamqwtrYmKyuL8PBwrl+/Lv7cxcWFK1euiH152grBLF++/LnDLnkiNTWViIgIJk6cyI4dOxg7dizBwcEAnDp1ijffGwZcTAAAIABJREFUfBN/f3+GDx+Ouro6UqkUZWVlzpw5g5qaGtOnT2fatGmAfEQaZEilUjH1ysjICEEQxFSuvLw8bG1tgaeRCYlEQlhYGD/88AMHDx5kwYIFYgbKsGHDxF5W8khlZSU9evSgvLycDRs2cPToUezs7GhsbOT06dPo6upy69YtTExM0NPT4+LFi1hYWLB69Wo+/fRTgoOD0dLSandNebHHsoOIKVOmYGNjQ0pKClKplLi4OEaNGoWJiQktLS00NzcTGBiIVCrlzJkzwB89Lb///ntREfBVRUtLi169enH48GHRRhsYGDBlyhTMzMxe8t11XDpMBKu+vp65c+eSkZFBSEgINTU1REVF8fvvvwNPw5yLFy+mX79+7Nixg+DgYB4+fEhGRga+vr7o6Oigr6+PlZUVxsbGcrVQdfKvkUWrLly4wJYtWxg2bBhKSkp88cUX3L59m9DQUFauXImLiwu6urpcunSJ/v37o62tzcGDB3FxcWHAgAEMHToUT09PuUuThOcLm6VSKQcOHGDTpk34+/tTWFhIaGgoTU1NopSv7DloaWnh7e3NgAEDmDx5smiM5emEtC2CIFBQUICurq5Yx6moqIitrS1r1qxh+PDhmJqasn//fu7fv8+bb74pFk/Lk82R1bQAojN+9epV8vLyUFVVpaCggLlz5wJPayK0tbXJzs4mISGBM2fOiGk8suJpeZX1FQSBXbt2MXjwYDGqZ2ZmJm54KyoquHHjBv369UNTU1Ns2q6np0e3bt0wNjZ+bnPc0WlbCyWzEVevXuXIkSPo6+uzdOlScnJyqKiowNPTk9bWVpSUlPDx8RH7MYaHhzN+/PjnrtnR+bNx3Lp1i7NnzzJy5EhUVVVZs2YNI0aMoKCgACMjI27fvk1JSQmjRo1CR0cHQ0NDrKysMDU1/dNaNnniRdegvarIMpeUlJSws7OTq7T1l0mHcrAKCgrw9fWlpaWF6dOno6enx4QJEzh69Chdu3bF0dERJSUl7t+/T11dHUFBQZw9e5ahQ4dib2//XCPPTuSXR48eiY0R4ancbGRkJBYWFnTp0oU7d+6Ii1R8fDytra288847LFy4kEmTJmFpaYmhoSEeHh4oKSkhkUhe8oheLBUVFWLzUdkzSkhIoK6uDiMjI1avXs3UqVPR1tbm8uXLaGpqoqOjw4MHDzhw4ACWlpaiM6Wvr4+hoaHcFpI/S3p6OjU1Nbi4uIjqSYWFhTx48IDg4GDMzMzo3bs3Q4YMwcLCQu4W7rbfsWxjEhsby6VLlxg/fjzvv/8+qampVFZW4ubmJtY79OnTR0ypXbBggdz11oH2hxVSqRRFRUV+/fVXJBIJPXr0EJ+XVCpl7969BAcHs337doqKiti8eTNGRkaEhoZibW0td6nZz9qGxMRENmzYgKamJl27dsXOzo47d+7w2muvIZFIiIqKIiwsDDU1NdFWWVlZERwcLKaTdnRFN9kzkdXmtR2H7GdmZmbs2rULb29vXF1dqa6uJikpifLyciZNmoSmpibx8fGMHj0aCwuL5/Y5HfXZtKWzBu2vR0NDAzc3t07n6gXyP+lgtS2UltV6NDY2smHDBmJiYggLCyMvLw9TU1OCg4N58uQJFy5cQBAE0tPTOXv2LBMmTKB79+4MHTr0ZQ+nk78RQRBISEggJydHTDHZt28f69evp7GxkXv37uHl5UVERATnzp3Dzs6OhQsXkp+fj5+fHyUlJXTp0gUzMzOsrKzkrtYBniqVnTlzBmdnZ1RVVUlOTuaHH37gzJkzXLp0CTMzM4YOHUp2djbFxcUEBASwdetWRo4ciY2NDQ0NDYSEhPxpGqA8LOb/DgUFBfT09EhISCApKQlvb2/Onz/P+vXrcXV1JSAgAAUFBblKr4X2J7wyBclt27axefNmtLS0GDBgAF26dCElJYWBAweioKBAdHQ07u7uYt8hZWVlunTpgru7u1y+V/DHZrahoaHd+3HlyhVRmQugoKCAiIgIBg0axIABA2hpaWHw4MFMmjRJrjY4Dx48QCKRoKSk1M42HD58mIMHDzJs2DB+//13bt++zYwZM1i1ahV9+/bFw8ODc+fOERERgYeHB126dHkuyi4P9kaWXTFr1iymT59ORUUFUVFR2Nraiod6ra2tFBcXk5ubi4+Pj9jza/Xq1YwfP57evXszceJEuX2nOmvQOumo/E85WH9WKC0zGg0NDbS2tmJsbExgYCAeHh5s2rSJ8PBwsUDx3LlzPHr0iPfee6+zIO8VQyqViv0tTExMsLe3p7i4GCUlJTZs2MD333/PlClT2L9/P3379qW6uhobGxtsbW3ZuHEjDQ0NBAYGEhISIpc5x4IgiCfq+vr69OjRg0ePHvH777+LEamVK1eioaHBxo0bef/994mLi8PPz4/Lly/T0NBAaGgo5ubmeHt7P+dcvUoYGBjg6OhISkoKR44c4f79+7z11lu8/vrrL/vWXiiCIHDx4kVsbGye25hs2LABiUTCtGnTOHbsGPn5+UyePJkVK1YwfPhw3N3dOXHiBDdv3sTHx0duUwCfTS26du0a69evR1lZWazr0NPT4/z585SVleHh4UFTUxMbNmygS5cuhIWFoaenh6OjI6ampi9rGC+c1NRUHj58SEREBAB2dnacPHmSkpISrKysiIiI4O2336a4uJjY2FgkEgkBAQGUl5dz+PBh3njjDXx8fMSozLN09M1x23ljY2PDkSNHcHV1FW1ySEgIzc3NKCkpoaysjKamJpGRkfTt2xc9PT1sbGwYMmQI3bp1E51N2WG0vPHgwQMxkrd9+3aKi4vp0aMHBw4cECNTJ06cYOLEiSQnJ1NcXMyAAQPw9PRk2LBhODo6PtenqaPPn046Bv9TDtaqVatoaWlh2LBhbN++ncjISOzs7DAzM0MikeDh4UFaWhoFBQUMGDCA2NhY6urq8PDwwMLCgj59+hAaGio2Ce7k1UF2mllWVoaWlhYHDhzg1KlTuLm5kZycTM+ePdHX16e4uJiLFy8yc+ZMJBIJJ06cYOTIkUydOlVuTwDb9tupr6+npaWFmzdvsmXLFrGBYllZGX369MHR0ZEDBw5ga2uLi4sLkZGRdO3alc8++6xdmuSrfgKopaVFv379CAwMZPjw4X+6CeyoVFVVceDAARoaGoiOjsbAwAAFBQW2bt1KRUUF9vb2bNmyhdDQUKKioigtLcXQ0JC+ffty8+ZNEhMTGTBgAMHBwQwfPlwunas/62GVlZUlNiWdMGGC+LmGhobY5PXcuXPs2bMHGxsb3nnnHblLPT5z5gzLly/n9u3bdO/eHS0tLY4ePUpsbCz5+fkcPHgQPz8/7t69y3fffYevry8ffPABgiBgYWGBn58fLS0tdO/eHQ0NDdTU1OSq+a0M2by5desWmpqaGBkZ8f3336OsrIy2tjbe3t7t1iMTExNyc3NJTk6mW7duaGlpiS0MZM9GHpyrzhq0TuSJl+pg/SeF0h9//DGAWOhaW1tLWloaNjY2uLi4UFZWRo8ePZ4ORk43yJ08z7OL7p07d1i1ahWHDh3Czc0NTU1NSktLqaiowNjYmISEBPr27Utqaipnz57ltddeExuZymNt3rM9vkpLS1m/fj2bN28mMTGR6dOnk5SUhK6uLl26dKG8vBxFRUUsLS2pr6/n2rVrYqNF2fv17DU7Qa7SuQoLC1m7di2bNm3C1tZW3Ozu2bOHxMRE7Ozs+PHHHxk+fDjXr1/n8OHDfPnll4SFhZGdnU3Pnj3x9fXFyckJQ0PD506NOzoNDQ3cvXsXY2NjMVUpIiKCdevWIQgCqqqqqKmpUVtbKyqWyd4TU1NTwsLCMDY2Ztq0afTt21eunKtTp07x7bffcurUKUxMTFi7di0WFhaoqqpy4cIFPDw8WLRoEa2trcTExDB37lzRDu/evZukpCT69++PoaEh3bt3B5BrW3Pv3j1mzZpFYmIi169fZ9q0aezdu5fMzEyUlZXJyspCT08PQ0NDMdrl6elJY2Mj+/btw8PDQy7ETzpr0DqRZ17akUfbE0CZXGZJSQkZGRm4uLjw9ddf4+TkRFRUFPCHpGbPnj0xNjamrq4Of39/pkyZ8rKG0MlL4NkeTfBUpWzr1q24urqyYsUKCgoKcHJywtTUlEePHhEUFERLSwvh4eFUVVWxfft2uWvSKUMmeyx7PlVVVQCsW7cOGxsbDhw4QEZGBsePH2fIkCHcvHkTbW1tJBIJCQkJALz11lssWbLkX16zE/miqamJVatW8cknn5CRkUG/fv14//33MTU1xdPTk6amJl5//XWmTZvGqFGj2LJlC7Nnz8ba2prjx48zd+5cKioqaG5uFtPd5JGqqiqSkpLEdg+HDh0iNzeX+fPnU1BQQHR0ND4+PlRWVlJQUCCKWcAfdsvDw0OuHCsZVVVVfPrpp6xYsQJbW1uSkpIAMDc3p0+fPuTl5QFPbcuNGzd48uQJW7du5datW/Tv359du3a1S82WPa+OTNsDZBnJycnA00jfsGHD2LVrl5hNMX78eOzt7Vm1ahVKSkp8/PHH1NbWigfH6urqDB48mFmzZmFqaioXz0hWgzZ58mTgqfjSrl27qKqqaudgBwQEcPLkSQDefPNNvLy8+O2332hpaSEsLIyYmBi5O9DppOPzt0awXkShtLq6Or169ZKrJp2d/HvS09NRU1NDIpGIRjc6Oprdu3dTW1uLoqIi+fn5wFNBi0ePHvHgwQN0dHTIzs7GwcGBMWPGMHjwYEJCQuSyh9WzRd/Xr1/n4MGDxMbGYmtri5GREU+ePOH8+fM0NzcTGxvLZ599RlRUFJaWlri5ueHv74+WlpZ4+CEvheSd/HuUlJQQBIG5c+fi4OBARkYG2tramJqaoqGhQXV1NVlZWfTr14+ePXsyf/58pk6dysiRIyktLeWDDz5gwIAB7RQp5QGZcyQb0+PHj1mxYgVJSUm4uroSGRnJwIEDiYuL4/r16zg4OGBtbU1JSQmZmZn4+fnJdRSmLW5ubnTp0gUlJSWys7N58OABPj4+KCsro6GhQVpaGlpaWlhaWlJSUkJubi4hISH06tULe3t74Pn9QUeltbW1nQy9zI7m5OSwadMmjI2NKSwspLKykoCAAHR0dPj222+ZNGkSS5cuZdCgQYSFhTFx4sQ/jZDr6ekBHf8ZddagdSLv/OUOVmehdCf/LVeuXGH16tVERUVRVFREZWUlTk5OHDx4kNTUVN566y2io6Npampi8uTJKCkpMX36dFRVVcnMzGT06NGYmZmJqmXydsJVVFTE1q1b8fHxEU85W1tbWbt2LdHR0VhYWPDgwQO0tbUJDAwkJiaGiRMnMmTIEFavXo2Hhwe9e/emR48eWFtbiyknr8qmsJM/kKXVtLS0kJubS0lJCV5eXqioqCCRSLh27RqmpqZYWlpSWVmJuro69vb2ODk5yVVvuIaGBhoaGlBVVRU3yNnZ2eTl5eHi4sL9+/fR0tJi/PjxpKens3HjRmbOnMmUKVPIy8uje/fudO3aFScnJ7p06fKyh/O3IggCmpqa1NbWkpGRgb6+PiYmJqiqqpKbm8utW7cIDg4mMDCQ3r17i78n2yB39M1xVVUVEokERUVFFBQUqK6u5sSJE8THx2NhYYGJiQl1dXUkJycTEhJCVFQUffv2JSMjg/PnzzNmzBgGDhxIt27dRAdEXvszddagdfIq8Jc5WJ2F0p38t6SlpTFlyhRqa2sZNGgQixYtIjMzk4KCAvr06cPmzZvp168f+fn5XLlyBXNzc9TU1Lhz5w7bt2/nxo0bYu2QmZmZ3BreyMhItm3bho6ODq2trZiZmVFeXs7evXvZtWuX2DPu3r17VFVVUVRURGxsLKdOnWLUqFEMHjwYa2truUxZ6uS/Q0dHh6qqKjIyMrCwsMDAwABlZWWys7MpLy+nZ8+e9OnTB2tr65d9qy+UkpISNm/eTFRUFO7u7hgYGJCbm8uWLVvYt28f8fHx1NbW8uGHH3L79m0qKysZNWoUV69eRV9fnw0bNlBTU0NYWBhdu3Z95Zwr+GOjq66uTkFBAYWFhXh7e6OmpoaFhQWBgYGoq6uLB6zy1DMvKyuLe/fuYWxsTGtrK0uXLuXcuXPo6emRnp4utv0QBIFr167h5+eHiYkJ+/fvJy4ujvfee0/svQh/OAvyunZ11qB18iqg/KIvWFhYyM6dO0lJSWHw4MHY2tri6+vL2rVr0dHRoVevXnzzzTd4e3vTpUsXli9fzubNm9HQ0ODXX39FKpWyePFiHj9+DND5Er2CGBoaUlhYKOZcA1RXV9OrVy/gqeTvN998w/fff8/evXvZu3cvjo6OuLi44OLiQkBAwMu69b8Fmdy6i4sLrq6u6Ovrs3r1alavXo2RkRH19fWcOnWKsLAwzM3NOXfuHN26dWP06NFcv36dCRMmyJU4QycvBtmG18nJibt373L+/Hns7e0xMDAQG7vLG3l5eezatYusrCwCAgJYunQp+vr64kFFbm4uBw4c4O7du8yYMYNp06bh4ODAxYsXkUqlfP3112RkZLB48WJRlv1Vx8TEBAsLC9LT0ykvL8fAwEBsDNxW0a0jO1ZlZWVERkZiaGhIr1690NXV5YsvvuDMmTN88MEHREZGsmfPHnx8fGhoaCA5OVlMB6ypqeHo0aN8/PHHDBgwQG73OG0FzGQkJyfTq1cvsQZt0qRJFBQUiDVoiYmJrFq1is2bN/Pxxx+zf/9+8fnIatBcXFzEGrSOPIc6kX9eWASrqamJNWvWsHPnTioqKvDz82PWrFloaWmhoqLCmTNnmDBhAmPGjKGyspKEhATee+890tLSqK2tZevWrejo6NC7d280NTVfyRPAV5W2alutra3o6uqSkZHBnTt3KCkpYf78+aSkpNC9e3fc3NywsrIiKSkJS0tL1q9fz5MnT+jTpw8GBgZ07dr1JY/mr0f2rLKysjAxMWH06NGcPn2as2fPYmZmRq9evVi1ahUmJiYcPnyY6upq1NXVGTBggFgX8Wx9SSedyOaCrq4uxcXFCIKAk5MTSkpKchvlXLlyJY8ePWLz5s34+vqirq5OXl4ehoaGCIIg1gPLZNZbW1sZOXIkt27dorGxkaCgIBwdHdHX13/ZQ/mfQLbpNTc3Jygo6LnMk45ub5qbm9m5cyfbt2/HyMgIJSUlEhMTcXFx4fjx40ilUsLDw3n06BHp6emiA3Xt2jUiIyM5e/YsgwYNYvjw4WhpaYlp6/KUCthZg9ZJJ095YQ5WZ6F0J/8tsu9bVvsAYG9vzyeffIK5uTnz58/HwsKC2NhYkpKSMDExYdq0aRQUFDBw4EDeeustNDU1X+YQ/hL+lRMk28TcvHmT6Oho8vPzKS4uxsPDgx9//JGRI0fi6enJlStX+OCDD9DS0qKiooKgoCBx8ZPVCXTSSVtkc8vW1hZPT0+5a33x+PFjNDQ0aGxsRFlZGS0tLdLT0xk8eDBJSUli/WK/fv0wNjbm4cOHlJWV4ebmhoaGBvv372fMmDH4+/vj7e0tN5viF4XMpshq2OQtytDY2Mivv/7KokWLCA0NxdPTEz8/P/T19bG3t+fhw4fY29sTFBTEqlWrGD16NObm5ri5uaGqqsq0adPo3bv3c1EreZhHnTVonXTSnhdag9VZKN3Jf8KzRvPatWusX78eZWVl7OzskEqloppknz598PPzE1XuqqqquH79OmFhYbi4uLST9pU32hbZFxQUYGpqCvyRIqijo8O+ffsYNGgQn332Gb6+vtTU1FBcXIyDgwN1dXXk5eVx9OhRfH19cXNz63SsOvm3yOaGvDlW8LRX08cffywK4igoKGBhYcGZM2fYsWMHGRkZDBkyhPnz56OtrY2WlhbV1dXExsYyePBgnJycGDNmzMseRodC3myNrFH92bNnqays5Ouvv+bYsWPcvHmTiRMncvnyZZqbm+nRowdXrlzh4cOH+Pr6oqmpiYuLC1paWnKZPdBZg9ZJJ8+jIPxFzRTOnDnDtWvXmDBhAvb29pSXl7Nz50709PSYPn36X/FPdvI/zp+dZmZlZfHZZ58REhLCzJkzgT+aSiclJfHpp58SFxcH/OFYyCuyccPTZ1VRUcGXX35JQ0MDzs7OKCsr8+6774qHEbdu3eLIkSMsXrz4T68RGxtLXl4e48aNExeuTjp51WhrN8LCwvj+++/p0aMHTU1NqKqqkpCQwObNm9m5c6don2JjYyktLcXX1xdBEHBxcZF7+9PJH8h6WP3Z952Tk0NCQgKFhYVYWVnRv39/3n33XcLDw+nZsyerV6/G2NiY2bNni02p215XHhyrZ2vQdHR0+Oijj7Czs+ODDz4gNDRUrEH7+eefqa+v5x//+Ae5ubksX76cbt26iX2+5LUGrZNOXriKoMyAqKiokJubS2FhIV5eXqirq+Pi4oK/v/+L/Oc6+R+noaGBu3fviguNVColIiKCdevWIQgCqqqqqKmpUVtbS2BgIFKpVHQQLCwsiIuLw9XVVeyDJs/IFvPff/8dY2Njbt++jYaGBgsWLCAtLY0rV66061RfUVHB+vXrmTx5crsTP1nOe7du3TrbG3TySiJ7B2Sb5Hv37vHLL7+Qk5PD7du3eeONN4Cn70vXrl05efIkKioqpKamsnbtWvLz8xk6dChubm5iz0V5tz+dtBdmkPXqbNveQxAEDAwM6NatG/7+/nh6eqKlpUVdXR3W1tb06tULHx8fXn/9dbS0tJ5Lk+zoc6izBq2TTv5z/rIIFkBMTAy1tbWMGTNG7noQdfKfUVJSQmxsLN7e3nh4eHDw4EEyMzOZMGECx48f5+HDh4wcOZLo6GhmzJhB165dkUqlCIIgl2lKMv7shPTUqVPs2bOH1tZW3n33Xa5evcrly5fp2rUr9vb2dO/eHR0dHfz9/cVFu/MEsJNO/uDPokzl5eV88sknDB48GD8/PyZOnMju3buxt7cXo1i//vor69evJyAggPDwcJydnV/SCDp5GTw7b0pLS9m7d68ozjVkyBBReKu2tpZffvmF+/fv4+joyLlz51BVVeXrr79ulykgjxHPuro6li5dypw5czA2NgaeloQoKyuTkpLC0aNHefvtt9HS0mLUqFHExMSgra3No0ePuHz5MgEBAZiYmLzkUXTSyd/DX9IHS94LpTv51zybX/748WNWrFhBUlISrq6uREZGMnDgQOLi4rh+/ToODg5YW1tTUlJCZmYmfn5+ctF08t8hW3hlp5uyZ7Z7926mTp3KtGnTsLCwwNvbm82bN7N06VICAgLYsWMH5ubmODo6tismb6vC2EknrzKy9+DixYuiEyUIArdu3WL8+PFYWlpSX19PbGwsQ4YMESPmzs7ODBkyhGHDhnUq2L5CyGxnW/sZExPDN998w4ABA3jjjTeIi4tDIpFgb28PPLW52traNDQ0kJWVxZQpU3jnnXfkTjHxz+isQeukk/+cvzSC1cmrQUNDAy0tLe0iKdnZ2VRXV9OzZ0+WLl1KXV0d33zzDStWrODXX39lw4YNODk5cfjwYfr3709lZSUqKio4OTm9xJH8dTybe//kyRO2bdvGrVu36N+/P2PHjmXQoEGcOnUKFRUVCgsLycrKIjMzkydPnpCcnMzo0aMZNWrUSxxFJ5387/BnUeD4+HiuXLlCQ0MDdXV16Onp4eHhwf3797GwsGDkyJFcvnyZt99+m8uXL3fWJr6CFBUVUVdXJzpM8P/au/P4GM/18eOfyR7ZE8lkjyQiiWwiobHGEktoqIOonWopp1+qp6qcUvrtpg6ipXZVpDRib2JpQ0ttjUSRKlmIJSRCJJEIM1l+f3jNHEG/59dTJCbX+x8yMneee8w8T67nvq7r/vf75sUXX0SpVDJgwAA2btyIo6Mja9asQaVSERMTg5OT0x+uTD1Y//q8kxo0If66p7KCJRqGgoICli5dSkJCAoGBgdja2pKbm8uyZcuIj4/n4MGDlJWVMWnSJDIyMiguLuZvf/sbR48excbGhsWLF3P79m26d++Om5ubzt45fji//NChQyxcuBBHR0diY2P57LPP6NixIzdv3iQjI4M2bdqQkJBAZmYmkyZNIjQ0lEGDBuHv71+HsxCiftGsPFRVVZGRkYFSqeSnn34iOTmZ5cuXExkZyS+//IKtrS329vb8+OOP7Nixg3PnzjF48GDCw8MfWb0QukuzWnX8+HGMjIxwcHCgpKSEadOmcf78eZo1a8aaNWuIjo7m8uXL5OfnEx4ejp6eHgcOHMDW1pYmTZo88n7RjKsLWRdSgybEkyMrWOJPu3jxIl9//TXZ2dm0bduWQYMGYWNjQ1FREV9++SW5ubmsXLmSs2fPMmHCBPbt28d3333HoUOHaN++PQEBAZw7dw4fHx+8vLzqejpP3N27d1m2bBkBAQFERUUBcO7cOY4cOcJLL71EWloa3377LWPHjiU8PFzbInratGksWLCA7OxsnJ2dGT16NP7+/toLlC7dIRXir1KpVKxdu5aUlBTs7e1xcHBg+vTpREdHs2zZMpo0aUJCQgIXLlwgNjaWRo0ace7cOTp27FjXhy6eocetOKWmpmJhYYGdnZ22NujUqVOsWbOGqKgounbtypAhQzh48CAAx48fJyQkBENDw7qYwlMnNWhCPHmygiX+tH/9619cv36dpUuX8sILL2BqasrFixexs7OjpqaGtLQ0unXrhrOzM99//z1VVVX069ePU6dOce/ePSIjI2nWrBk2NjZ1PZUn6vLly+zfv5+7d++yd+9eRo4ciYmJCXFxcSQmJmJvb096ejoGBgY4OzuTl5dHy5YtCQkJ4d1336V79+4MGDCAdu3a0a9fv0e6l8nFSjRUj+sylpubS1paGrNnz8bPz4/4+HgiIiIwMDBg//79dO3aFTMzM/Lz8wkMDESpVOLh4VFHMxDPWmVlJb/++iuNGjXCxMQElUrF6tWrOXr0KHv37iUvL4+wsDDUajVffPE5CiYMAAAgAElEQVQFTZo0wdvbm7Vr1zJq1CguXbqEq6srjRs3xtnZWSdvbkkNmhBPjwRY4j+6ceMGjRo14t69exgYGGBubs5vv/1Gz549SU1N5fPPP2fLli107NgRBwcHrl69ys2bNwkICKBRo0Zs2LCBAQMG0KZNG8LCwnQqUHiwm9+kSZPw8PDAwsKC3377jdzcXIyMjEhLS+OLL77g2rVrJCcn4+zsjKOjI1lZWVhZWeHk5ISPjw/e3t4YGxtjYWGhzYGXi5RoqI4cOcKuXbu054ySkhJMTEy0/15YWIiJiQkJCQlkZWVhZmbG6dOneeONN5g5cyaDBg1CqVTSsmVL6bTZgDyYspeYmKhNCTx16hRz5sxh+fLldO7cmXXr1hEWFkZ2djZOTk44OzuTmpqKvr4+ISEhDBgwQCfT1q9du8b169extbXVXl8OHjzIxo0bsbGxwd/fn6+//pqJEyfi4+PDlStXuHnzJs7OzlhYWFBdXY2dnR1BQUF06tQJR0dHQFqtC/Ew+TSI/9PevXsZMmQIgDYXu3Xr1hgaGjJkyBC++uorunTpwoYNG3BycsLR0ZGgoCC+//571Go1PXv2ZOPGjXU5hafm7NmzlJSUAGBubk6LFi1QqVScPHmSs2fPUlVVRVhYGD///DN9+vShoKCAyZMn4+vri6+vL40bN6ayshKALl26YGtrq71A6UpOvxB/lubmQlVVFadOnaKsrIxNmzaxaNEiysvLtXUivr6+1NTUEBERwTvvvIO7uzs//PADFRUV7Ny5E0tLyzqeiXiWNO+LB8+bdnZ2rFy5kqNHj9KiRQtsbW25du0a5ubm+Pv7c/ToUZRKJWfPnmXRokV069aNpUuXaldrqqqq6mQuT4Ome9/Zs2epqKgAoKSkhMmTJ5OUlISbmxuffvopCoWCNm3asG3bNgBatmzJ+fPnyczMBB7NpNCMq4srfEL8FbKCJR5LcxfQ29ubdevWERwcjKOjIyqVCn19fSwtLTl58iQrV67Ex8cHgOTkZA4fPkxQUBAREREolUqdbCG+b98+5s6dy+HDh8nMzGTv3r0EBgayYMECzpw5w4QJEwgKCqK0tBR3d3eMjY25desWEydOJD4+njNnztCvXz9at26Ns7OzdlxZsRINmeYOuCZlycrKiszMTC5fvkxZWRk9evTAxcWl1mckISGBX375hcWLFxMYGMjMmTNxcHCQFasGRHPe1LwvTp06RVxcHEZGRoSGhlJUVERoaChhYWEUFxeTlpZGhw4dsLe3Z+XKlQwbNoxu3bpp2/jDv9+LunCT6+E0QE9PTy5evMjt27cxNjZGT0+P2NhYysrK+PXXX6msrGTQoEHMmjWLV155BaVSibW1Na1atXpsECXXLCEeTwIsoaU5EWvas2ZlZZGYmMj58+fJyMigb9++wP07WG5ubuzZswdDQ0PS09P5/PPPuXTpEr169SIgIOCR+iFdce7cOdavX8/QoUMZP348ISEhbN++HYVCQefOnbG3t8fOzo6AgACOHDmivXhVVlayfv16WrVqxZtvvom+vr50WBLiAZpfZnfu3Km9adGoUSN27NhBcnIyTZs2xdLSEisrK+1zQkNDadKkCa+++irt27eXwKoBeLDpjyYg11i3bh3x8fG89NJL2v3NbG1t2bBhg3aPs8WLF9O9e3c8PDzo1KkTDg4OGBgYALoVWEkNmhB1SwIs8cgdLoVCQVFRETNnziQoKIhx48axbNkyOnXqhJ2dnXYVq7Kykri4OIyNjRk7dizDhg3T+V3a582bR4cOHYiKikKlUmFmZoZSqWT//v307t2bgoICzpw5Q6dOnbh06RJnz57Fz8+P8PBwevbsSfPmzYHHFxcL0VA8rsYwJyeHt99+m8rKSm7evEleXh7NmjXj7NmzWFpa0qxZM+bPn8/ly5dp27YtcD9t2cnJCVNT07qainiGzpw5g4ODA/DvgHzXrl1cuXIFV1dXzpw5Q0lJCa6uruzcuZPc3FxiYmI4evQoa9euxcXFhc6dO+Pp6Ym+vj7m5ua13oe6EFhJDZoQ9YMEWEJ7cTlw4ABr167F29ubmpoaTp06pU2bqKioIDk5mejoaKqrq7V3B6Ojo7V3BhuCs2fPYmhoSFBQkPbuqYuLC8uXL6d169Z4eHhw6NAhLCwsiIiIwN/fHycnJ+3zJbASDdmD6VwKhYLS0lJu3bqFubk5586do2nTpowePZoTJ07w+++/07x5czw9Pbl8+TKTJ08mLCwMQ0ND7TlKPkcNg+a8+dprr3Hv3j1atGhBTk4OkydPpqysDBMTE1atWsXrr7+OpaUlBQUFTJ06la+++gonJyeioqJo3LgxnTt3pmnTphgZGdWqd9UFD6dKwv2bFnFxcTg7O9O5c2d2796tfS3OnTtHcXExbm5uHDt2jD179jBkyBBef/11bG1tAWlcIcRfIQFWA/O4O8eaDkLZ2dmUl5eTmZlJdXU11dXVlJaW4u/vj1qtZsGCBQwePLhWGo6ZmVldTKPO5OTkUFpaiq+vL8bGxtrHNfukuLq6Ym5ujq+vL3Z2drXSmUB3LuZC/BkP31i4c+cOixcvJi4ujsLCQo4fP07fvn1JTU0lPj6eHj16cOLECUpLS/Hx8aG6uhonJyfc3d21DQjks9RwaP6vGzduTHx8PIMGDSIjIwNXV1eGDBnCTz/9xOnTp/H09MTExIS8vDy2b9+OWq2mf//+ODg44OPjo00F1KXgXGrQhKif5NPTwGhSBzQdugAuXLjAgQMHeP/99/nf//1fbfqft7c3P//8M3//+99JTExkxowZWFtb05D3pm7Xrh2lpaWsWbMGuN/Cfs6cORgZGREYGIiFhQUdO3ZsMCt6QvyRkpISSktLgX+nXmVnZ5OSkkJRURFFRUVs3bqVDh06kJCQQH5+PhcuXCAiIgJjY2Pu3LmDjY0NXl5evPrqq7VWgoVu03Sm01xrSktLmT9/PikpKWRlZXH48GGuX7/OqlWrePfdd/Hz82PGjBkA+Pn5UVJSQps2bfjiiy9q7beoGe95Dq40c9B0OHy4Bm3evHl07doVAAcHBwYOHMj27dupqamhd+/e7N+/n4KCAnx9fVm0aBFKpVK7/YFmTKm3EuKvU9Q05N+WGyCVSsXatWtJSUnB3t4eBwcHpk+fTnR0NMuWLaNJkyYkJCRw4cIFYmNjadSoEefOnaNjx451fej1xpUrV3j//fdxcnLi/PnztGvXjpEjR0qBvRDc/3wkJiaSkpJCeHg4rq6ujBkzhlmzZnHz5k06duxIo0aNSEpKQq1W4+Ligp2dHWFhYVRXVzN//nw8PDwYN24cfn5+dT0d8Qw9vLKk+Xrjxo0cOXKEhQsXEh8fz48//siiRYsYMGAA77//Pnfv3mXx4sWMGjWKHj161BqzurpaZ1Zizpw5o63j1di1axcmJia0b9+ehIQE0tPT6dSpE3v37sXX15fXX3+dGTNmkJeXx5AhQzAxMaFVq1aYmJigr6+vU6t5QtQnkiKowx6XP52bm0taWhqzZ8/Gz8+P+Ph4IiIiMDAwYP/+/XTt2hUzMzPy8/MJDAxEqVTi4eFRRzOonywtLenbty8+Pj6MGDGCiIgIjIyM5EIlGrSamhq2bdvGhAkT6NatG1OmTKFJkybs2LGDXr16sXPnTpycnBg7dizl5eX88ssvtG3blsmTJ5Oamkp1dTXR0dH07t2bPn36yCpwA1FQUMD58+exsbHRpvClp6ezaNEicnJyMDMzo6ysDH19fVq3bk1wcDBxcXG0adOG6Oho9u/fz/Hjx5kwYQLt2rXTjqtL9a5SgybE80cCLB1z5MgRdu3aRVhYGHp6epSUlGiX/wEKCwsxMTEhISGBrKwszMzMOH36NG+88QYzZ85k0KBBKJVKWrZsKSsy/4GVlZU23VJXLuRC/Lc0TStKSkp45513MDU1Ze/evdy+fZvIyEhcXFxITk6mU6dOuLq6YmJiwtmzZ1m1ahXW1tYMGTIEIyMj7YbmQrfl5OSwYsUKVqxYQU5ODmlpaURGRnLy5EkWLVrEwIEDAdi+fTsGBgZUVlZiYWGBvb09O3bsICsri2HDhtGqVSu6d+/+SAdbXTofSw2aEM8fSRHUEZr/xkOHDrFx40Y+/fRTdu3aRWZmJm+++SaNGjXSnlB3795NTU0N3bp1Y9myZcTHx7Nz504qKyt1vs26EOLpKS8vZ8WKFVy7dg1jY2POnDlDUFAQycnJJCcn89lnnxEWFkZsbCxwf/XC1tYWQ0PDOj5y8axUVVWxdu1ali5dyrRp03jppZcAiIiIYM+ePaxbt067ue1XX32Fr68vISEh1NTUsGfPHoqLi4mJiSE6Olrb7Q50KxVQMxdNIFRaWsrKlSspLCwkKSmJpUuXcvXqVVatWoW7uzsxMTE4OTlRVlZGSEgIK1asICAggF69etUaVwIrIZ4dWcF6zj242aJCocDKyorMzEwuX75MWVkZPXr0wMXFpdZJNSEhgV9++YXFixcTGBjIzJkzcXBwkBUrIcRfYmRkRFVVFevXr6d3797Mnj2bTp06ceLECQwNDWnevDlpaWm0bdtWuw+RFNQ3LAqFgps3b6JSqZg0aRIAaWlpVFdX07NnTy5evMjs2bMJCAjgrbfeQk9PD1dXVzp37oyfnx8jRoygZcuWmJqa6txG7Y9rta5QKNi6dSsZGRn861//wtLSkm3btjF58mQSExN56623MDAwYOHChQQGBhIYGEi7du3w8fEB/p1eqBlLCPFsGNT1AYi/RvPLiWZTxaFDh9KhQwfWrFnDr7/+ipWVFebm5ri7u2ufM3HiRDIzM2nSpEmtO4BCCPFXBQcH06NHD+2GsMnJyVRUVODl5UVwcLC2w5loGDQdAR+s+QkMDCQ1NZX33nsPlUpFSUkJQ4cOBWDgwIFs2LABe3t74uLiyMzMZPr06QA0bdpUO6aupGUXFBRQUFCAn5+fNj02PT2dzZs34+HhQceOHTE3N9cGTEOHDmXVqlXk5OQwb948du/eTV5eHtOmTSM4OFg7rmYVTFdW9YR43kiK4HNEs4fVgyfMnJwcPvroI5o2bcrt27fx8PCgffv2rFmzhqKiIqKjo/n2229p06YN//jHP+rw6IUQDUFNTQ379u1jzpw5KJVKPD096dWrFxEREXV9aKIOlZaWYmpqiqGhIZWVlaSkpPDJJ58wa9YsOnXqBPw7KCgoKODkyZNUVlY+kuamK3JyckhMTCQ1NRVXV1dsbW2ZOXMmJ0+e5PPPP2f06NEUFhZy6NAhmjZtikqlIioqiubNm9O/f39cXV1ZuHChTqVGCqFLJMB6DjycN11aWsqdO3dwdHTkyJEjlJSU0LNnT+bOnUtOTg6jRo2ioqKC7777jnnz5pGTk0NOTg7du3eXHGwhxFN369YtNm3aRIcOHfD396/rwxHPUFVVVa20z+vXr/PNN99w8uRJPv30U22dr6aGKDIyko4dO6JSqf6wwcnDYz7PpAZNiIZBarDqsYfTIO7cucPixYuJi4ujsLCQ48eP07dvX1JTU4mPj6dHjx6cOHGC0tJSfHx8qK6uxsnJCXd3d7y9vQHJwRZCPH2mpqaEhYVhb29f14cinjHNL/kFBQWYm5uzZcsWjh49yuTJk/H29tZe14yNjSkrK2Pr1q28+OKLjw2gNDcEdSlwkBo0IRoGqcGqZ0pKSlAoFFhaWmovKtnZ2Vy8eBFfX1+KiorYunUrP//8M1OmTKF///5cuHCBiIgIjI2NuXPnDjY2Nnh5efHCCy/U8WyEEEI0JEePHmXFihUoFAq6dOmCk5MTAQEB5OfnExwcrL2uGRkZERQUhEqloqKiAlNT00fG0oWgQWrQhGiYJEWwnrhy5QqJiYmkpKQQHh6Oq6srY8aMYdasWdy8eZOOHTvSqFEjkpKSUKvVuLi4YGdnR1hYGNXV1cyfPx8PDw/GjRuHn59fXU9HCCGEjvqjVPP8/Hw+/vhjRowYgYeHBytXrsTe3h61Wo2pqSm9e/fG3t6+QaazSQ2aEA1LwzrD1UM1NTVs3bqVvn374uDgwNdff01sbCwnTpwA4Pbt27i6ujJw4ECcnZ2prKykbdu2zJo1C4VCQV5eHu3bt2ft2rUsWLBAgishhBBPRU1NTa223w8+DqBWq7l+/TpBQUHY29sTFBTE7du38fHxITs7m5ycHIBHgitdus9bVVVV6+vr168TFxfHpEmTKCoqAsDAwICgoCC6du2qfS1UKpX270qlku7du2uDq4fHFELUfxJg1TGFQoGzszPt27dnyJAh2Nrakp6ejpWVFZWVlYwcOZLMzExKSkoICgqif//+5OXlMXLkSMrLy4mOjgaQPayEEEI8VZp6qLKyMlatWkVqaipqtVobcFVXV9OyZUt27NgBQFlZGXfu3CEqKoohQ4b8YSdJXUp109SSFRQUALBnzx5OnjzJ5MmTUSqV2pTBxo0bExISwoYNGwAe2+BDE3jqSoMPIRoSSRGsB8rLy1mxYgXXrl3D2NiYM2fOEBQURHJyMsnJyXz22WeEhYURGxsL3D9x29raYmhoWMdHLoQQQlc9XOtTXl5OSkoKP/zwA8bGxlRXVxMQEMArr7wCQGVlJcePH9fWYKnVaiZNmkTLli3rchrP1MM1aA4ODvz6668EBwfTvXv3Wt974cIF0tLS6N2792Nr0IQQzy9pclEPmJmZ0apVK2bMmMH48eP54IMPgPuB1MGDB+nevTsHDx7UtrHVtLkVQgghnqQH26VrUtby8/OxsrIiJyeHXbt28cILLzBq1ChtMDFixAgMDAzQ19cnIiICFxcXysvLdTZl/f+qQfvmm28YP368tgbtzp07mJmZcfXqVQoLC2vVoHl6euLp6VkHMxBCPG2SIlhPBAcH06NHDxwcHABITk6moqICLy8vunbtyqxZs/5wjxAhhBDir8rOziYhIYFbt24B9zfDnTBhAlOnTuWjjz6ivLycoKAgKisrKSsrIywsDGtra22amyb9zc3NTRtc6VL9kNSgCSH+f8k+WPWEkZER9+7d45NPPmHv3r2Ul5czePBgwsLC6vrQhBBC6LDKykr09PQwNjYmPDxc2zZ9yZIltGzZkvfee4/c3FyuXr2Kvr4+KpUKExMT3Nzc0NfXp7S0lBYtWjy2M6AudQvUpEuWlZWxbt06qqqqcHBw0NZIFRcXU1RUxPXr1wkICCA9PZ3r168zatQoHB0dCQ0N/cNxhRC6RWqw6pFbt26xadMmOnTogL+/f10fjhBCiAakurqaY8eOsW3bNsaPH8+SJUuIioqiW7duXLp0iS+//JIBAwawe/dufHx8GDBggE43YJAaNCHEf0tqsOoRGxsbxo4dW9eHIYQQQkep1WoWL17MiBEjsLW1pbq6mm+++Ya9e/cyduxY7OzscHNz48CBA0RERHDgwAG6devGnTt3uHHjBgEBASiVSpycnGoFV39Ul/S8kRo0IcSToDtr90IIIYT4Q8OHD+fq1auMGzcOCwsLAL766isOHz7Mhx9+yN27d3Fzc8PNzY0bN27QrFkzjI2Nef3113nvvffo378/pqamuLm5YWBQ+/6sLgRXUoMmhHhSpAZLCCGE0FGlpaXMmTOHxo0bU1NTQ1JSEr169WLcuHGEhoZy7NgxPDw8OHr0KIcOHeLu3bsoFAqKi4tRKBSMHTuW5s2bM27cOHx8fOp6Ok+F1KAJIZ40+eQLIYQQOkazcqKvr4+3tzffffcdY8aMITU1lbt372JnZ8fp06eZOHEiISEh9OrVi9mzZ/P777/TsmVLWrVqpW3K4OXlVWtMXaNZjTM1NeXIkSPMmTOH3NxcSktLsbW1BSAqKorc3FxatmzJrVu3yMnJoaqqiqioKEaOHFmXhy+EqIckwBJCCCGec5p+VZo/NfVRZmZmtGnThoKCAvLz84mJiWHZsmWMGTOGnTt3UlpaSmZmJvv372f69OkYGxvj6upKZGQk7u7utX6GLjS0UKvVxMXFUVRUBNxP61u/fj0jRozg8OHDWFtbP1KDBtSqQRs5ciT9+/d/pAZNCCE0pIugEEII8RzLy8vDxcWl1mP79u0jKSmJsLAw/P39ycnJ4fLly4wZM4Y+ffqQkpLC//zP/9C7d2/atGnDgQMHCA0NxcPDQzuGrjSu0Bg+fDgffvghDg4OGBgYYGhoyKpVq0hLS+Pdd98lMzOTiIgIUlJSyMnJoUePHmzdupUrV65w48YNxowZQ3R0dF1PQwjxHJAaLCGEEOI5lJ6eTlxcHJs2beLo0aOUlZXh7+/P5s2b2bJlCy+++CLl5eXs3LmTdu3akZ6eTkREBOfPnyc7O5s+ffpw69YtQkND8fPzw9rampqaGm1gpQvBldSgCSHqgrRpF0IIIZ4z6enprFixgkGDBhEREUFGRgZ2dnYAJCcnM2XKFPz8/CguLub8+fNcuHABLy8v1q1bx5QpU9i3bx9hYWG1NrPXpcCqqqoKfX39WjVob731Fp07d36kBu3kyZOYmJigVCpZvHgxr7zyCg4ODnh6egK1a9B0IU1SCPH0SYAlhBBCPCc0QdCvv/5Kr1696NSpEwDh4eHa72nWrBmbN2/mn//8J6amplRVVdG6dWvUajXFxcUolUoGDx78yJjPc2ClmYPmz4dr0BYtWvRIDdqCBQsICwsjMzOTmzdvcurUKby8vHB1dcXb2/uRnyHBlRDi/5cEWEIIIcRzQhMEHTlyhL59+wL324wbGBhQUVHBnj17eO211xgwYACOjo4cO3YMU1NTHBwcsLS0rDWWLgRWULsGTTOXh2vQ2rZtS2JiIuPHj6dPnz5MnDgRPT090tLSiImJ4cCBA/Tv31+na9CEEM+OdBEUQggh6qHHtUWvrKwEoHfv3mzfvr3Wv6lUKtatWwfA6tWrsbS0ZPTo0SxcuPCR4Aqe/82B09PTmTp1Km+//TZvv/02W7ZsAWDz5s3Ex8cTFRVFVVUVq1atwsXFhevXr6NWqwkPD2fJkiWMGTMGtVqNra0tL730Eh4eHtTU1Gg3DH7eXx8hRN2RLoJCCCFEPVFWVoa+vj6mpqbaxzIzM7GxscHe3l77mFqtZuDAgbz++uv07NkTgHnz5lFZWcnUqVMfGVfX6of+qAbN09OTMWPG1KpBW7hwIT4+PpSXl1NeXs7gwYPZt29frTRJkBUrIcSTIwGWEEIIUQ9kZWXx7bff0qFDByIjIzl79ixxcXHA/VqiAQMG0KZNG20g8NNPP/HTTz9RXl7OxYsXCQ0NZdSoUSiVSu2YuhY0aOazevVq7O3tiYmJeeR75syZQ2VlJf/85z+5d+8eH330ESNGjNDWoLVp0+axYwohxJMiNVhCCCFEHampqaGqqgoDAwM8PDywtrbm4sWLAKSmptK1a1cGDhzIG2+8QUJCAoGBgVhYWAAQGRlJZGQkx48fx8fHBysrq0fG17XAQWrQhBDPA6nBEkIIIZ4xlUoF3A8YDAwMuHfvHqWlpQQHB1NYWMjhw4dRqVRs3ryZ0aNH06JFC9zd3amoqNCOoUlACQ8Px8rKiurqanQpKUVq0IQQzysJsIQQQohnaMmSJZw5c4aamhrUajXLly/n5ZdfZsGCBdy8eRNjY2MuXryIiYkJ5ubmTJw4kRdffJErV66Ql5enHefhAEFPT++5DxrKysq0QaSmZiwzM5PCwkIADAzuJ9707t2bwsJCdu/erX1s5cqVtG7dGltbW5o0acLAgQO16YCPC9aEEOJpkRosIYQQ4hlQqVQYGRlx9+5dampqMDIy4urVq3z22WdMmzYNMzMzrKysSEpKIj8/X9syfOfOnZSXl/Pyyy8TFRVVx7N4eqQGTQihK6QGSwghhHhKDh8+TEZGBmPHjsXIyIjS0lIsLS0ZM2YM/fv3R6VS4enpiaOjI3p6ely4cIHTp0+jUCgwMTFh6NChBAUF1QoadInUoAkhdJEEWEIIIcQTpkkOqa6uJiMjgx9//JHt27dTWlrKyJEjGT16NN9//z19+vRh9+7dnDx5Eh8fH9asWUOfPn0wMDDAyckJQBtc6VKrdc1q3oM1aLdv3yY4OJjU1FRtDVpSUhLJycm0a9eO27dvU1FRoQ2wNKtT4eHhwP3XWppWCCHqA6nBEkIIIZ6QBzepVSgUhISE4OrqSlxcHC+//DITJkxg+vTptG/fnmvXrmFgYEDPnj1JSkri1VdfxdjYmGbNmhESEoKDg0OtsXUluJIaNCGErpMaLCGEEOIvKCgo4MCBA0RGRmqDou3bt1NYWEhMTAyZmZnMnTuXxMREjIyMGD58OMOHD0etVrN7924+//xzbt++jUKh0K7O6CKpQRNCNBSSIiiEEEL8BefPn2fHjh0MHDiQkpISJk+ejK+vL56enixevJjIyEi6dOnC5s2bGTx4MKNHj+b999/n4MGD2lUXCwsLFAqFdgVMT083EkykBk0I0RBJgCWEEEL8CQcOHKB58+Y0btwYuL8PVWVlJfn5+eTl5dGqVSuGDx/O/PnzuXjxIvn5+YSGhrJx40b69etHly5dtIFUdHQ08O90N10JrKQGTQjRkEmAJYQQQvwJW7Zs4ccff2Tw4MH4+Phw6dIlgoKCsLa25sqVKyxZsoRTp07Rr18/+vXrR3FxMa6urrRo0YLi4mIcHR11NtWturq6Vi1USEgIhw8fJi4ujmnTpmFgYMCkSZP4+eefWbt2ba0atIyMDIKDg2nWrNljUyUluBJCPC+kBksIIYT4E+7du8fXX3/NkSNHWLp0KWq1mtGjR7NixQqsra0ZPHgwL730Evb29ixfvpzevXszbNgwnW3AIDVoQghRm/6sWbNm1fVBCCGEEM8LAwMDwsLCyMrK4uDBg3h7e1NWVgaAp6cn4eHhFBcXc/DgQSZNmkSXLl20wZWmlbguOX36NOvXr2f48OGUlJQwYcIEABwdHUlKSsLNzQ0zM7NaK32zZ8/mk08+QQDrzVkAAAZhSURBVKFQ4OPjg5GREcbGxlRXV8vmwEKI554EWEIIIcR/ISwsjBs3brBkyRIsLS2Jjo7G3Nwca2trmjVrRpcuXWjcuLG2HklX9mg6cOAAZmZmNGrUCLgfSG3evJn27dtrNwl+9dVX2blzJxcuXECpVOLr60tSUhJRUVH4+Pjg7u6Ol5cXPj4+wL9r0HTlNRJCNGy6UU0rhBBCPGMmJibExsbSpUsX9u3bR2lp6SPfo4ub327ZsoUvv/ySrKwsgForUzU1NSxZsoQpU6YQERHB22+/jbu7O+7u7toaNEBna9CEEAKkBksIIYT4r2hS2dRqNfr6+jrTAfA/kRo0IYT4v0mAJYQQQjwBDa2N+Ny5c1GpVAwZMoStW7cSGhpK586dyc3NJSMjg6NHjzJ8+HB8fX21z9F0GRRCCF0mAZYQQggh/rS7d++yY8cOtm/fjq+vL+PGjXvshsAP1qAJIURDILeRhBBCCPGnNdQaNCGE+E9kBUsIIYQQf1pDrUETQoj/RAIsIYQQQvxlDa0GTQgh/ogEWEIIIYQQQgjxhMh6vhBCCCGEEEI8IRJgCSGEEEIIIcQTIgGWEEIIIYQQQjwhEmAJIYQQQgghxBNiUNcHIIQQQnz66af89ttvFBYWcvfuXdzc3LCxseHzzz+vk+M5deoU06ZNo0uXLvzjH//QPl5SUsKcOXO4ePEiVVVVODk58cEHH2BhYVHr+cuXLyciIoLg4OBnfehCCCHqmHQRFEIIUW9s2bKF8+fP8/bbb9fpcXz55ZdYWFgwfPjwWo+PGTOGl19+mW7dugGwZs0aTp48yYIFC+riMIUQQtRDsoIlhBCi3po/fz5KpZKhQ4dSUlLC6NGjmTp1KkuXLkVPT4/CwkIGDRrE0KFDOXfuHB9++CEA1tbWfPzxx6jVat58801qampQq9XMnj0bX19f7fhqtZrp06dz+fJlqqqqGD16NK6uriQmJmJoaIijo6M2mMrLy+PGjRvarwGGDx9O//79AejcuTNeXl54eXlx+/ZtevXqxY0bN9i/fz93796lsLCQESNGkJKSQlZWFu+88w5RUVHs2rWLNWvWoKenR1hYWJ0Hl0IIIf4aCbCEEELUWwMHDuStt95i6NChfPfdd8TExABQUFDAtm3bqK6uJiYmhp49ezJjxgw+/vhjmjZtyqZNm1i5ciWhoaFYWFgwb948srOzKSsrqzX+t99+i42NDXPnzqWsrIy//e1vbNy4kX79+tG4ceNawdT169dxdXWt9Xx9fX1teuC1a9fYsmULNjY2vPvuu9rvKS8vZ/Xq1SQlJbFmzRoSEhI4duwYa9euJTw8nC+++ILNmzdjamrKlClTOHToEO3atXtaL6kQQoinTAIsIYQQ9ZabmxtmZmZkZ2ezc+dOvvzyS7KysggNDcXIyAgAHx8fLl26RE5ODrNnzwbur0x5enrSsWNHcnNzmTBhAgYGBowfP77W+Dk5ObRt2xYAc3NzvL29uXz58mOPxdnZmfz8/FqPqdVqdu/eTUxMDDY2NtjY2DzyPH9/fwAsLCzw9vZGoVBgZWXFvXv3uHTpEkVFRYwdOxa4H4z90c8XQgjxfJAASwghRL0WGxvLkiVLUCqV2NraAvD7779TVVWFSqUiOzsbDw8PPD09mTNnDs7OzqSlpVFYWMixY8dwcHBg9erVnDhxgvnz57Nu3Trt2N7e3hw/fpxu3bpRVlZGZmbmI6tUGkqlEhsbG3744QeioqIAWLt2LadOnSImJgY9vcc35lUoFH84N1dXV5ycnFi9ejWGhoZs2bJFG5AJIYR4PkmAJYQQol6Liorigw8+YO7cudrHKisree211yguLmb8+PHY2toya9Yspk6dSlVVFQAfffQR1tbWTJ48ma+//ho9PT3+/ve/1xo7NjaWGTNmMHjwYO7du8cbb7yBnZ3dHx7LZ599xgcffMDq1atRq9W4u7tr677+G7a2towaNYrhw4dTVVWFi4sL0dHR//V4Qggh6p50ERRCCFGvVVRUMGzYMDZt2oSenh7Hjh1j48aN0rlPCCFEvSQbDQshhKi30tPTiY2NZcKECX+YgieEEELUJ7KCJYQQQgghhBBPiNwOFEIIIYQQQognRAIsIYQQQgghhHhCJMASQgghhBBCiCdEAiwhhBBCCCGEeEIkwBJCCCGEEEKIJ+T/AaEmbKUII6x5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.title('Types of Crime',fontdict={'fontsize':'30'},pad=20)\n",
    "ax = sns.countplot(x='type',data=vancouver_data, order = vancouver_data['type'].value_counts().index)\n",
    "ax.set(xlabel='Types of Crime')\n",
    "ax.set(ylabel='Counts')\n",
    "plt.setp(ax.get_xticklabels(), rotation=25, horizontalalignment='right')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\" role=\"alert\">\n",
    "<h3>Top 3 types of crimes in Vancouver are:</h3>\n",
    "<ol>\n",
    "    <li>Theft from Vehicle</li>\n",
    "    <li>Mischief</li>\n",
    "    <li>Break and Enter Residentail/Other</li>\n",
    "</ol>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Trends over the years of the crime in Vancouver"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.title('Years Trend',fontdict={'fontsize':'30'},pad=20)\n",
    "ax = sns.countplot(x='year',data=vancouver_data)\n",
    "ax.set(xlabel='Years', ylabel='Counts')\n",
    "plt.setp(ax.get_xticklabels(), rotation=25, horizontalalignment='right')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\" role=\"alert\">\n",
    "From the year 2003 to 2017 and the trends shows decresase in crime rate over the period.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5 safest area in Vancouver"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "neighbourhood\n",
       "Musqueam            532\n",
       "Stanley Park       3775\n",
       "South Cambie       5212\n",
       "Shaughnessy        5426\n",
       "West Point Grey    5871\n",
       "Name: counter, dtype: int64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "safe_region = vancouver_data.groupby(['neighbourhood']).count()['counter'].sort_values(ascending=True).head(5)\n",
    "safe_region"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5 dangerous area in Vancouver"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "neighbourhood\n",
       "Central Business District    110947\n",
       "West End                      41352\n",
       "Fairview                      32161\n",
       "Mount Pleasant                30536\n",
       "Grandview-Woodland            27180\n",
       "Name: counter, dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "danger_region = vancouver_data.groupby(['neighbourhood']).count()['counter'].sort_values(ascending=False).head(5)\n",
    "danger_region"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Major type of crime in dangerous area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "neighbourhood              type              \n",
       "Central Business District  Theft from Vehicle    48003\n",
       "                           Other Theft           19244\n",
       "West End                   Theft from Vehicle    16904\n",
       "Central Business District  Mischief              16672\n",
       "Fairview                   Theft from Vehicle    11934\n",
       "Name: counter, dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "danger_region = vancouver_data.groupby(['neighbourhood','type']).count()['counter'].sort_values(ascending=False).head(5)\n",
    "danger_region"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Which month has the maximum crime rate over the given peroid of time?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "month\n",
       "5    46883\n",
       "6    46711\n",
       "8    45946\n",
       "7    45679\n",
       "3    45314\n",
       "Name: counter, dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "months = vancouver_data.groupby(['month']).count()['counter'].sort_values(ascending=False).head(5)\n",
    "months"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Which day has the maximum crime rate?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "day\n",
       "1     19512\n",
       "15    19298\n",
       "12    18388\n",
       "7     18186\n",
       "11    18171\n",
       "Name: counter, dtype: int64"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vancouver_data.groupby(['day']).count()['counter'].sort_values(ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\" role=\"alert\">\n",
    "For most of the companies the payrolls are biweekly and the data echos in the same tone as 15th and 1st of month has the highest crime rate.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Which hour of the day has the maximum crime rate?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hour\n",
       "18.0    36195\n",
       "17.0    31621\n",
       "19.0    29590\n",
       "22.0    28791\n",
       "20.0    27707\n",
       "Name: counter, dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vancouver_data.groupby(['hour']).count()['counter'].sort_values(ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\" role=\"alert\">\n",
    "Almost every house in Vancouver has car.\n",
    "In dark the chance of not being caught increases.\n",
    "</div>"
   ]
  }
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