monkeypox_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from urllib.request import urlopen\n",
    "import json\n",
    "import pandas as pd\n",
    "from plotnine import ggplot, geom_line, geom_col, aes, labs, geom_point, facet_grid, facet_wrap, theme, element_text, theme_bw\n",
    "import subprocess"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### You can run API with uvicorn monkeypox_api:app on your command line/terminal. \n",
    "\n",
    "-  I'm running a shell script to change directories, activate a venv and run the api with uvicorn.\n",
    "-  You can also run the api programatically wthin python by importing uvicorn as a package."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "api = subprocess.Popen(args=\"./api_launcher.sh\", shell=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "./api_launcher.sh: line 1: !#/bin/sh: No such file or directory\n"
     ]
    }
   ],
   "source": [
    "base_url = \"http://127.0.0.1:8000/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:     127.0.0.1:49706 - \"GET /latestdata/ HTTP/1.1\" 200 OK\n"
     ]
    }
   ],
   "source": [
    "response = urlopen(f\"{base_url}latestdata/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "j_res = json.load(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'date': '2022-12-20',\n",
       " 'records': [{'UK Nation': 'England',\n",
       "   'Total': 3552,\n",
       "   'Confirmed': 3404,\n",
       "   'Highly Probable': 148},\n",
       "  {'UK Nation': 'Northern Ireland',\n",
       "   'Total': 34,\n",
       "   'Confirmed': 34,\n",
       "   'Highly Probable': 0},\n",
       "  {'UK Nation': 'Scotland',\n",
       "   'Total': 97,\n",
       "   'Confirmed': 97,\n",
       "   'Highly Probable': 0},\n",
       "  {'UK Nation': 'Wales', 'Total': 47, 'Confirmed': 47, 'Highly Probable': 0},\n",
       "  {'UK Nation': 'Total',\n",
       "   'Total': 3730,\n",
       "   'Confirmed': 3582,\n",
       "   'Highly Probable': 148}]}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "j_res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.json_normalize(j_res, record_path=\"records\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.assign(Date=j_res[\"date\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (355182855)>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(\n",
    "    ggplot(df) +\n",
    "    geom_col(aes(x=\"UK Nation\", y=\"Confirmed\", fill=\"UK Nation\")) +\n",
    "    labs(title=f\"Date: {df['Date'][0]}\")\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:     127.0.0.1:49713 - \"GET /search_range/?start_date=2022-10-25&end_date=2022-11-29 HTTP/1.1\" 200 OK\n"
     ]
    }
   ],
   "source": [
    "response2 = urlopen(f\"{base_url}search_range/?start_date=2022-10-25&end_date=2022-11-29\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "j_res2 = json.load(response2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs = [pd.json_normalize(x, record_path=\"records\").assign(Date=x[\"date\"]) for x in j_res2.values()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = pd.concat(dfs, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df2.astype({\"Date\": \"datetime64[ns]\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3 = (\n",
    "    df2.groupby(\"UK Nation\")\n",
    "    .agg({\"Confirmed\": \"diff\"})\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df4 = df2.assign(NewConfirmed=df3[\"Confirmed\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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iIglYSBMRERERScBCmoiIiIhIAhbSREREREQSsJAmIiIiIpKAhTQRERERkQQspImIiIiIJGAhTUREREQkgVbuBkjl4eEBrVYLURTL3U4URfN2FW1b1v5F/ytlf6n5cmYzn+e+pvK12vLfhoKDgx1+rCs9X8l9V1p+ReOdyN7Y7Su6ffv28PX1hdForHBbX19fCIIAQRAk55lMJsn7Vjdfzmzm89xbO9/X17fc9WPHjgUARYx1pecrue9Kya9ovBPZG7stpE+ePInWrVsjMDCw3O0EQUBycjL8/f2hVld9JosoijCZTNBoNFCpVFXevzr5cmYzn+e+pvL1en256zdu3IghQ4Y49FhXer6S+660/IrGO5G9sdtCOisrC0ajscJBr1KpzNtJeYMoehwp+1siX85s5vPcWzu/oivN8fHxihnrSs9Xct+Vkl+ZvywR2RN+2JCIiIiISAIW0kREREREErCQJiIiIiKSgIU0EREREZEELKSJiIiIiCRgIU1EREREJAELaSIiIiIiCVhIExERERFJwEKaiIiIiEgCFtJERERERBKwkCYiIiIikkArdwMK/fLLL9ixYwcSEhLg5eWFsWPHolu3bnI3i4iIiIioVDZRSJ86dQobNmzAjBkz0KxZM2RkZCAvL0/uZhERERERlckmCukdO3ZgxIgRaNGiBQDAx8dH3gaRrESjEcmff4zMY0cBAJ7dw+E/ZDhUGo3MLSMiIiL6H9kLaZPJhH///RcdO3bE+PHjUVBQgLZt22LcuHHw8PCQu3kkA/2WD5Fx9CBgMgEA0r7/FmJeLgKfeU7mlhERERH9j+yFdFpaGoxGI44cOYLFixfDxcUFK1asQExMDKZPn27eLikpCUlJSQAAvV6PgoICAIAgCOUev3B9RduVRRRFCIIAQRCgUqmqvH918uXMlitfNBqRcfgAIIr/W2gyIf3AT/AbNQYqdeU/H2uP/beFbFvIL0qn01XqWPbeZyXnK7nvzCeyb7IX0s7OzgCAAQMGICAgAAAwbNgwLF68uNh2u3btQkxMjPnr8PBwAEB8fHylchITEy3RXMnkzLenvov5ecWL6EKCgPi4OKi0VX/J2lP/HSnbUvlRUVEAONaZb9vZzJc/n0gOshfSHh4eCAgIqPC34KFDh5qLZ71ej7179wIAgoODy91PEAQkJiYiKCgI6ipczSwkiiKMRiO0Wq3k39Sl5suZLWf+rfohKIi7ZZ7aAY0GziGNULtevRrJL8RzXzP5FRXImzZtQlRUlEOPdaXnK7nvSsuv7C/ERPZC9kIaAPr27Ys9e/agY8eOcHZ2xq5du9C5c+di2wQEBJivWHt5ecHJyQkAKv2moVarJb/BFO4r5Q2mOvlyZsuZX/vFGYhbvhiG+DsAAF2tYNSePF1SH6TkF+K5ly+/KIPBYD6WNTPl7rOS85Xcd+YT2TebKKSHDRuGjIwMTJo0CRqNBh07dkR0dLTczSKZ6AIC0WDhMuTfiYPJZIJrvfpQS5jSQURERGRNNlGdaDQajB8/HuPHj5e7KWQjVFotnOvVh9Fo5G3viIiIyCbxbzBERERERBKwkCYiIiIikoCFNBERERGRBCykiYiIiIgkYCFNRERERCQBC2kiIiIiIglYSBMRERERScBCmoiIiIhIAhbSREREREQSsJAmIiIiIpKAhTQRERERkQQspImIiIiIJGAhTUREREQkAQtpIiIiIiIJtHI3QCoPDw9otVqIoljudqIomreraNuy9i/6Xyn7S82XM5v5PPc1la/Vlv82FBwc7PBjXen5Su670vIrGu9E9sZuX9Ht27eHr68vjEZjhdv6+vpCEAQIgiA5z2QySd63uvlyZjOf597a+b6+vuWuHzt2LAAoYqwrPV/JfVdKfkXjncje2G0hffLkSbRu3RqBgYHlbicIApKTk+Hv7w+1uuozWURRhMlkgkajgUqlqvL+1cmXM5v5PPc1la/X68tdv3HjRgwZMsShx7rS85Xcd6XlVzTeieyN3RbSWVlZMBqNFQ56lUpl3k7KG0TR40jZ3xL5cmYzn+fe2vkVXWmOj49XzFhXer6S+66U/Mr8ZYnInvDDhkREREREErCQJiIiIiKSgIU0EREREZEELKSJiIiIiCRgIU1EREREJAELaSIiIiIiCVhIExERERFJwEKaiIiIiEgCFtJERERERBKwkCYiIiIikoCFNBERERGRBDZVSGdkZGD06NGYMWOG3E0hIiIiIiqXTRXSH374IRo2bCh3M4iIiIiIKqSVuwGFzpw5g/j4eDz88MP4/vvvq308U1YmEjasQ+75sxDVGqT2GwC/x56ASm1TvzsQORRREJCy+3Ok7/8BgsGA+NZtUeu5CdC4u8vdNCIiIouziarSYDBg/fr1mDBhAlQqVbWPJwoC4lb+H3LOnIKYnw/k5iD1qy+Q+t03FmgtEZUl5atdSN3zFYTsbKCgADl/ncSd1csgiqLcTSMiIrI4m7givXPnTrRv3x4NGzbE5cuXS90mKSkJSUlJAAC9Xo+CggIAgCAIJbYtuHMb+VcuFV8omJC+/wf49H+sSm0TRRGCIEAQBElFfmH7SmunLWczn+deSn76zz8CJtP/FpiMyLt4AQWJCdAFBklqi06nA1BxX+z5fCs9X8l9Zz6RfZO9kI6Li0NsbCxWr15d7na7du1CTEyM+evw8HAAQHx8fIlthfiEUo9hKigodfuakJiYKEuu3NnMV9a5FwyGUpfr4+OhNkn7IRsVFQWg9LFeGiWfb6XnK7nvzCeSh+yF9Pnz55GcnIzo6GgAgNFoREFBAUaPHo2YmBi4ubkBAIYOHWounvV6Pfbu3QsACA4OLnFM0d8fN3z9YEpLA8T//vDWaODZoRMCS9m+PKIowmg0QqvVSv5NPTExEUFBQVBXcX62nNnM57mXkp/YvgOyjv8KmIx3F6jV0Pr5o3bzFlBpS3+7qahA3rRpE6Kiokod60XZ8/lWer6S+660fLkuZhFZi+yFdPfu3dG2bVvz10ePHsWBAwcwZ84cuLq6mpcHBAQgICAAAODl5QUnJycAKH3QOjuj7ozXEbfyLRiT704HcWvdFoGjIyW9wavVaqjV6mrN3y48hr1kM5/nXkp+0LPRELIykXPmFABA6x+AOi/Pgua/41UKw3+vcle2H/Z4vpWer+S+M5/IvsleSDs7O8PZ2dn8tYeHB7Rarblolsqpbj2ELF2NAn0iktLTEdw0lAOcyMrULi6o/dIsGFJTkBgXh9rNmkNTxpVoIiIie2dzP+F69+6N3r17W+RYKo0GuqBaUAm8YwBRTVGpVND6+EKdl8/bTRIRkUPjTzkiIiIiIglYSBMRERERScBCmoiIiIhIAhbSREREREQSsJAmIiIiIpKAhTQRERERkQQspImIiIiIJGAhTUREREQkAQtpIiIiIiIJWEgTEREREUnAQpqIiIiISAIW0kREREREErCQJiIiIiKSgIU0EREREZEEWrkbIJWHhwe0Wi1EUSx3O1EUzdtVtG1Z+xf9r5T9pebLmc18nvuaytdqy38bCg4OdvixrvR8JfddafkVjXcie2O3r+j27dvD19cXRqOxwm19fX0hCAIEQZCcZzKZJO9b3Xw5s5nPc2/tfF9f33LXjx07FgAUMdaVnq/kvislv6LxTmRv7LaQPnnyJFq3bo3AwMBytxMEAcnJyfD394daXfWZLKIowmQyQaPRQKVSVXn/6uTLmc18nvuaytfr9eWu37hxI4YMGeLQY13p+Uruu9LyKxrvRPbGbgvprKwsGI3GCge9SqUybyflDaLocaTsb4l8ObOZz3Nv7fyKrjTHx8crZqwrPV/JfVdKfmX+skRkT/hhQyIiIiIiCVhIExERERFJwEKaiIiIiEgCFtJERERERBKwkCYiIiIikoCFNBERERGRBCykiYiIiIgkYCFNRERERCQBC2kiIiIiIglYSBMRERERScBCmoiIiIhIAq3cDTAYDFi3bh1OnTqFzMxMBAQEYNiwYYiIiJC7aUREREREZZK9kDaZTPDz88PChQsRFBSECxcuYMGCBQgODkazZs3kbh4RERERUalkn9rh4uKC0aNHIzg4GGq1Gi1atEDz5s1x/vx5uZtGRERERFQm2Qvpe+Xl5eHSpUsICQmRuylERERERGWSfWpHUaIoYvXq1WjatCnat29fbF1SUhKSkpIAAHq9HgUFBQAAQRDKPWbh+oq2K69NgiBAEASoVKoq71+dfDmzmc9zL2d+UTqdrlLHsvc+KzlfyX1nPpF9s5lCWhRFvPfee0hOTsaCBQtKDOZdu3YhJibG/HV4eDgAID4+vlLHT0xMtFxjJZAzX8l9V3q+I/Q9KioKAMc68207m/ny5xPJwSYKaVEUsW7dOly5cgVvvvkmXFxcSmwzdOhQc/Gs1+uxd+9eAEBwcHC5xxYEAYmJiQgKCoJaXfWZLKIowmg0QqvVSv5NXWq+nNnM57mvqfyKCuRNmzYhKirKoce60vOV3Hel5Vf2F2Iie2EThfT69evxzz//YOHChXBzcyt1m4CAAAQEBAAAvLy84OTkBACVftNQq9WS32AK95XyBlOdfDmzmc9zL2d+UQaDwXwsa2bK3Wcl5yu578wnsm+yF9KJiYn47rvvoNPp8Nxzz5mXP/nkkxg+fLiMLSMiIiIiKpvsvzoGBQXh66+/xq5du/DZZ5+Z/7GIJiIiouqKjIxEq1atSl03efJkNGzY0Px1bGwsVCoV/vjjj2LbffXVV3BycsKYMWPK/FDl5s2boVKp0LhxYxiNxlLXFd40obJ2796N9957r8TyefPmwcPDo0rHIuuQvZAmIiIislXffvsthg8fjmHDhmHz5s0VTl+5evUqtmzZYpHssgrp6OhoHDhwwCIZVD1VmtrRqFGjKs2funLlSpUbRERERGQL9u7diyeffBJDhgzBli1bKjUHvFevXli0aBHGjBkDrdY6M2jr1auHevXqWeXYVDVVuiI9YMCAYv8MBgP0ej1at26Nhx9+GK1bt4Zer4fRaMTAgQOt1WYiIiIiq9q3bx+eeOIJDBo0CNu2bYNGo6nUfm+88QauXr2Kbdu2lbvdihUr0KlTJ3h7eyMoKAgDBw7ExYsXzesjIyPx0Ucf4dy5c1CpVFCpVIiMjARQ+tSOGzduYNiwYfDx8YGbmxt69epVYopKw4YNMXnyZLz77rsICQmBt7c3Hn/8cej1+kr1jUqq0q9K7777rvn/ly9fjnr16uHMmTPw8fExL09NTUX//v35mxIRERHZpf3792P+/PkYOHAgduzYUekiGgBatWqFoUOHYuHChXj66afLvCp969YtTJ48GSEhIcjIyMC6devQrVs3XLx4EX5+fnjjjTeg1+tx4cIFbN++HQAQGBhY6rEyMzMRHh4OURSxdu1aeHh4YOnSpYiIiMAff/yBZs2ambf9+uuv8e+//2Lt2rVISkrCtGnTMGXKFHzyySdV+A5RIcl/c1i9ejXee++9YkU0APj6+uK1117DxIkTMXPmzOq2j4iIiKhGzZo1C82aNcMnn3wiaXrG3Llz0bZtW2zfvh3PPvtsqdu8/fbb5v83mUzo06cPgoKC8Pnnn2P8+PFo0qQJAgMDcf36dXTp0qXcvE2bNuH69es4c+YMWrZsCQDo3bs3QkJC8NZbb2Hz5s3mbUVRxNdffw1nZ2cAwKVLl7B06VIIgsDbF0og+TuWkpKC9PT0Utelp6cjNTVVcqOIiIiI5PLII4/gwoULWLNmjaT9W7dujccffxwLFy6EyWQqdZtff/0Vffr0gb+/P7RaLdzc3JCVlVVsekdlHT58GC1btjQX0QDg4eGBxx57DIcPHy62bXh4uLmIBoAWLVrAYDDwyZQSSS6ke/fujVdffRUHDx4stjw2NhazZs1C7969q904IiIiourQarVlFrMmkwk6na7E8oULF2Ls2LF4+eWX8dFHH0nKnTt3Li5fvowdO3aUWHfjxg307dsXJpMJ69evx9GjR/H7778jKCgIeXl5Vc5KTU0t9emvwcHBSElJKbbs3pkEhQ+4k5JL1ZjasX79egwaNAi9evWCt7c3AgMDodfrkZ6ejvbt22PdunWWbCcRERFRlQUGBpb5aPI7d+4gKCio1HXr169Hamoqxo4dCx8fHwwePLhKue3atcOgQYOwcOHCElNdv//+e2RlZeGLL74wF7ZGo7FE0VtZfn5+uHDhQonl8fHx8PPzk3RMqhzJV6Rr166N33//HXv27MG0adPQq1cvTJs2DXv27MEff/yBOnXqWLKdRERERFUWHh6OtLQ0HDp0qNjy9PR0xMbGIiwsrNT9NBoNduzYgYiICIwcORKxsbFVzp47dy4uXryIjz/+uNjy3NxcqFSqYlfDP/vssxIPcnFycqrUleLu3bvj7Nmz+Pvvv83LsrOz8e2336JHjx5VbjdVXrVvcNivXz/069fPEm0hIiIisqi+ffuiR48eeOKJJ/Cf//wHrVq1QlxcHJYuXQqdToepU6eWua+zszN2796NXr16YfDgwThw4AAeeOCBSmc/8MADeOyxx/DNN98UW96rVy8AQFRUFJ5//nn8/fffWL58eYlpF82bN8eHH36Ijz/+GE2bNkVAQECxJzEWioqKwttvv42BAwdi4cKF5rt25ObmYtasWZVuL1VdtT+e+f333+PNN9/E+PHjcePGDQDAoUOHEBcXV+3GEREREVWHWq3Gnj17MGbMGKxYsQKPPPIIpk2bhmbNmuGXX35B7dq1y93fw8MDe/fuRd26ddGvXz/8888/VcqfO3duiWWtW7fGpk2bcOLECfMt9j7//HN4e3sX227s2LEYNmwYpkyZgk6dOmHevHmlZnh6euLgwYPo0KEDXnjhBYwcORI6nQ6xsbHFbn1Hlif5irRer8fgwYPx22+/oXbt2rhz5w4mTJiABg0a4MMPP4S7uzvWrl1rybZSEUJ+PjIOH4AxNRVOderCs2t3qHjbGiIiohI8PT3x9ttvF7vlXGkiIiIgimKJ5f7+/sWmTZQmMjLS/MCUojp27FjqMceMGYMxY8YUW3bt2rViX3t5eZWYFgLcfSDLvUV1gwYNsHPnznLbeO/xAeDJJ58stX1UOZIL6WnTpiEpKQlnzpxBaGio+VOfAPDwww9j4cKFFmkglSTk5eHmgtkwJCYAIgCIyDp+DLVffIXFNBEREVENkVx17dmzB4sWLUKLFi2gUqmKratfvz5u3bpV7cZR6dJ+2HO3iDYaAZMRMJmQc+YUsk8cl7tpRERERIoh+Yq00WiEu7t7qetSU1OLXaG2Bg8PD2i12gr/HCGKonk7KX+6KNxH6p89qpNfVnZB/J27RXQRKo0GBQkJxba1574rPV9Jfa/oqWHBwcEOP9aVnq/kvistX8pTAolsmeRX9IMPPogPP/wQ/fv3L7Huk08+wUMPPVSthlWkffv28PX1LXGrmNL4+vpCEAQIgiA5r6ybuVdGdfPvzdb4BwAaDVBkuSgIUPv5lfh+2HvflZ6vhL77+vqWu37s2LEAoIixrvR8JfddKfkVjXdLO3HihFWO26FDB6scl+yP5EJ64cKF6NmzJ8LCwvDkk09CpVJh9+7dWLJkCfbs2YMjR45Ysp0lnDx5Eq1bt0ZgYGC52wmCgOTkZPj7+0t6hrwoijCZTNBoNCWmsFRGdfLLyvZ99DFkHz8GY0oyIAiASgXX0GbwerBbsTnS9tx3pecrqe96vb7c9Rs3bsSQIUMceqwrPV/JfVdafkXjncjeSC6ku3btigMHDmDWrFl4+eWXIYoiFi1ahK5du2L//v1Vus+iFFlZWTAajRUOepVKZd5OyhtE0eNI2d8S+ffuq3V3R4P5S5B+4CcYU1PgVLsuvMJ7QaXRWDy7tPyq7Md8y577msyuqfyKrjTHx8crZqwrPV/JfVdKfmX+smQNoaGhFjvWxYsXLXYssn/VmqzUtWtXHDx4ELm5uUhNTYWPjw/c3Nws1TYqh9rVDb79B8ndDCIiIiLFssisf1dXV7i6ulriUEREREREdqFahfSvv/6KnTt34ubNmyWeBa9SqfDVV19Vq3FERERERLZKciG9evVqTJ8+HUFBQWjSpInVb3dHREREpDSRkZEIDg7GW2+9ZfFjjxw5Es2aNSvz0eNUMcmF9PLlyzF58mSsWrVK0qeEiYiIiBxFREQEfv3112L3yr7//vutdgs+sg2SC+mcnBwMHjyYRTQRERHZLdFgQO6xIzAl6aEJCIRr1+5Q6XSSjrVq1SpMmDDBwi0kWya5Ch4+fDj27t1rybYQERER1RjRYEDKqqXI/OJT5Bz6GZlffIqU1csgGgwWy7h27RpUKhW2bt2KRo0awdfXF9OnTzevFwQBs2bNQmBgIBo0aIAPP/wQKpUK165dK3GsjIwMPPbYYwgKCoKvry/69++PGzdumNdHRETgjTfeQM+ePeHp6YmHHnoI169fN68/cOAAWrZsCU9PT4wZMwYFBQUW66dSSS6kV61ahfj4eDz11FP48MMP8cUXX5T4R0RERGSrco8dgfH2zbtPCv7vP+OtG8g9ZvmHyv388884e/YsTpw4gU2bNuHnn38GcPehU7t27cLvv/+Ov//+u9yLlIIg4Nlnn8W1a9dw48YNuLu7Y+LEicW22bp1K9auXYvk5GTUrl0bb7zxBgAgJSUFgwcPxqxZs5CamorevXvj66+/tng/lUby1I6///4bR44cwY0bN/DJJ5+UWK9Sqar1uFEiIiIiazIllf6kRVNykqTjvfTSS5g1a5b566FDh5oL2f/85z9wd3dH48aNERYWhj///BO9evXCxx9/jBdffBENGzY0b/f555+XenwfHx88+eST5q9nz56NHj16FNsmMjISLVq0AAA89dRTmDt3LgDg22+/RdOmTfHMM88AAJ599lmsWrVKUj/pfyQX0mPHjoWXlxe++eYbhIaG8q4dREREZFc0AYGlL/cPkHS8lStXlpgjXThFIzg42LzMzc0NWVlZAIC4uDjUr1/fvK7o/98rJycH06dPx/fff4/U1FQAd5/0nJ+fD2dn5wpzGjRoUOx4ISEhVe0i3UNyIX3hwgV88cUX6NevnyXbQ0RERFQjXLt2R+5vv9yd3vFf2noN4Nq1e421oU6dOrh583/5Rf//XitWrMDff/+NX3/9FbVr18apU6fQrl07iKJYqZyi86kB4MaNG2jXrp3ktlM15ki3adMGiYmJFmlEVlYW/u///g8jRoxAZGQkvvvuO4scl4iIiKgsKp0OftNmwnPICLiF94bnkBHwe/EVyXftkGLEiBFYs2YNrl+/jqysLLz55ptlbpuZmQlXV1f4+PggNTW13G3vNWDAAPz777/YsWMHjEYjtm7dijNnzliiC4omuZB+77338Pbbb+PHH3+E0WisViPWr18Pk8mETZs24Y033sD27dtx+vTpah2TiJRFFAUYxLxKXZmxRwYhHyaxeu+1tkoUReQLOQ577oyiAUbBMe+OIIoiCoQciKIgd1MkU+l0cAvrCc8nhsEtrGe1iuhp06bBw8PD/K9evXoV7hMdHY1BgwahY8eOaN68OXr16gUA5qka9x6/oKAAgYGBePDBB9GnT59Kt83f3x9ffPEFFi5cCF9fX/z444947LHHKt85KpXkqR3h4eEwGAzo168f1Go1XF1di61XqVRIT0+v8Dh5eXk4evQoVq1aBTc3NzRp0gS9evXCTz/9hDZt2khtHhEpyF9pe3E0aTtMMML9hi/6134JtV2ayt0si8gxpuG7+LcRl/cPACDUoxseDpoArdoxPpfyb9av+ClhPQxiLpzUbugTNBFNPDrK3SyLMAh5+DHhfVzK/g0AUNe1BfoHT4OrxkvmllnG7dzz2Bu/CjmmdKihRY+MZ9DW5xG5myWb2NjYMtfd+0ti0Zs0aDQaLFu2DMuWLQMAnDx5EjqdDrVq1QIAbN682bxtnTp1SuQ8//zzZbahX79+xW6j9/DDD+Pvv/+uRG+osiQX0jNmzLBIA27fvg0AxSbAN27cGLt377bI8YnIsV3MPIbDSVsg4u4PqmxTGnbfXoRnQlbCQ+snc+uqRxRFfH1nGZLyr5mXXco6Dq3KCQ/Xsv+HPsTn/Yu98auB/567AiEH38WvxIh6ixDk0kjexlnA/sQYXMn+31Pt7uT+gz13VuDJevNlbJVlZBj0+CpuCYzi3fstCzDiYNJmeGj9HeYXoZpSUFCAH374AY8++ihSU1Px2muvYciQIXzgnZ2QVEgXFBSgVatWaNeuHZo0aVKtBuTl5ZW4mu3u7o7c3Nxiy5KSkpCUdPd2NHq93nwTcUEo/89Jhesr2q4soihCEAQIggCVSlXl/auTL2c283nu5cwvSvffP7OWdax/Mo+ai+i7RJhEI25kn0Yzz7BK58jd59Lys42pSMy/XDwHRlzMOoZegeOtnl8VUvIvZR6HGmoI+N+tUtVQ43LW7whwqvzdBGyx76Io4lLWbxDwv+k4AkyIy/sHOYYMuGg8rJpfFVLyr2ef+u90juJj72LmUTRye0BSO5RKFEW8+eabeOqpp+Ds7IzevXtjzZo1cjeLKklSIe3k5ITRo0fj+++/r3Yh7eLiUqJozs7OLlFc79q1CzExMeavw8PDAQDx8fGVyrHUByOlkjNfyX1Xer4j9D0qKgpA2WM9Py+vlKUi0tPTEZ9dufcHS7Lk9zxXzCh1uSiKZX4/7OmcZxdk495Z0SJEZGVlIb6g6ufOlvp+90/5pc/5TkxMgJMqy6r51pZuTC+1d3l5eZX+uUx3OTs74/jx43I3gySSPLWjWbNm5d6ipbLq1q0L4O7tXgrvnXj16tUS9zYcOnSouXjW6/XmJ/8UvV9iaQRBQGJiIoKCgiT9mUQURRiNRmi1WslXCqTmy5nNfJ77msqv6Ifupk2bEBUVVeZYb5PVG3GJ5/C/okUFjUqHlsHd4aH1rXSbbfF7Loq1UCvuPujzr5qv2qqhwf2eDyE4sPj3w57OeSFVXgQuxh0o3g6IaFMrAoHO5b+3Vze7WKaV+n5fYldcyvrVfFVaDQ2CXZqiQe3iF6Bs8bVXEXdjD5y++RUEUYWiY69NQC8Eu5d97lhkk6ORXEgvWbIE06ZNQ4sWLdChQwfJDXBxccFDDz2E7du3Y+rUqUhISMD+/fsxc+bMYtsFBAQgIODuDdK9vLzMD4Cp7JuGWq2W/AZTuK+UN7jq5MuZzXyeeznzizIYDOZjlSbUqytyhQwcSd4Gk2iAh9YP/YOnw8vJv0o5cve5rPzHar+CvQmrcTv3b6igQqhHN0QERpWZYU/nvLZbKPoHT8dPieuQL+TAWe2BvrVeQC3XxlbPLspafe8dNA6ACRezfgUgoq5rC/QLnlqijbb62iuPt1MQnqgzG9/Fr0a2KQUa6NAjYAyaeHaqcn5NuHjxotxNIAcluZCeOXMmkpKS0LlzZwQEBCAoKKjYAFSpVDh16lSljvX888/j3XffRWRkJNzc3DB69Gi0bdtWatOISGHa+jyCVp4P43b8DdSrHeJQH9Jx03pjaN25MAoFUKnU0Kgkv23bpCYendHIrSPyDNlw0bk71LnTqZ3RL/hF9BEnQYQIrarm7k1cE2q73o+xjd5DvjEHSQmpqO1VW+4mlVCdC31ElSH5HblDhw7o2NEyn8z18PAo9mx6IqKqUqlU0KpK3nfVUTjK7e5Ko1KpoFO7VOtqrC1ztF9+7uXI546oIpJHd9H7GhIRERERKY1j/5pMREREinXixImKN5KAU0aoUJUK6alTp2LGjBlo0KABpk6dWu62KpUKq1evrlbjKlJ4X+nKkPpJYa1WC19fX+j1+mo9Cl1KvpzZzOe5r6n8yoxjRx/rSs9Xct+Vll+VsUxkD6pUSH/zzTcYO3YsGjRogK+//rrcOVHWLKTd3Nyg0+nwxRdfWOX4RFSzdDod3NzcSiznWCdyPGWNd2sKDQ212LF4BxAqSiXe+wB4O5GWloacnBy5m0FEFuDm5gYfH59S13GsEzmW8sa7pRVO7bB0Ic2pHVSoSlek/fz88NNPP+GBBx7Ac889hzfeeAONGjWyVtvK5ePjU2MDkYjkw7FORES2qko37MzJyUHefx/Hu3nzZuj1eqs0ioiIiIhKio2NrfCpzrZs3rx5GDlypFWOPWvWLERGRlrl2GWp0hXp+++/H0uWLMHQoUMBAN999x0uXLhQ5vZjxoypXuuIiIiI7EBERASOHj2K8+fP47777gMAXLhwAc2bN4fUWbTXrl1Do0aNkJubCxcXF0s2V7LNmzdj3bp1+PXXX+Vuik2oUiG9fPlyPPvss9izZw9UKhUWLFhQ5rYqlcqqhTTnTRI5Ds6RJlKOmpwjXdO8vLwwd+5c7Nixo9rHMhgMFmhRxRk6neWeuGkymaBSqRzqCaUVqVIh3adPH8TFxSEtLQ1+fn744Ycf8MADD1irbWVKS0vDu+++W63b9BCR7dBqtZg8eXKJH64c60SOp6zxLheTaMDF3CPINOnhqQlEqGt3aCQ+zn3KlClYsWIF/vrrL7Rr167E+oyMDEybNg179uyBTqfDyJEjsXjxYjg5OSE2NhYjR47EzJkzsXz5crRt2xbnzp0DAAQEBAAAPv/8c/OV6TVr1mDx4sUwmUx45ZVX8MorrwAARFHEypUrsX79eiQlJaFLly744IMPUK9ePQB3L3SuWbMGa9aswZ07d3D69Gk0atQIW7Zswdy5c5GWlobIyEi8/fbblepzw4YNMWHCBHz66ac4f/48rl27hszMTEydOhW///47vL298fLLL2PixIml7j9q1CjExsYiJycHbdq0wXvvvYfWrVsDACIjI+Hm5ob4+Hj8+OOP5nYWfm9Pnz6NsWPH4sKFCwgLCzP3sSZJeiCLj48PNm3ahAceeAD+/v6WblOFcnJyYDQa0b59e3h4eNR4PhFZTlZWFk6ePImcnJwSP1g51okcS3njXQ4m0YDvUpYixXjTvOxS7jH093tFUjEdHByMqVOnYvbs2dizZ0+J9VOnTkV8fDz++ecf5OTkYODAgViyZAn+85//ALh7n+3r16/jypUrEEURCQkJaNSoEZKSkswFdGxsLJKSkhAXF4fr16/jr7/+Qvfu3fHEE0/gvvvuw7vvvosdO3Zg3759qFu3LubPn48RI0bg6NGj5nZ8/vnnOHz4MDw9PZGQkAAA+Pnnn3H27FkkJCTggQcewGOPPYZevXpVqt/btm3D119/jXr16sFgMODBBx/ErFmz8PXXX+PKlSvo06cPmjZtij59+pTYt2/fvli/fj2cnZ3x6quvYtSoUTh79qx5/ccff4w9e/Zg586dePnllzF16lQcOnQIBoMBgwcPxrhx4/DKK6/gwIEDePzxxzF8+PDKnzALkPxkw2effdaS7ZDEw8PDJgYiEVkXxzoRWcPF3CNIMd6EAJN5WYrxBi7mHkFzt56Sjjlz5kw0btwYhw8fRmBgoHm5IAj4+OOPcfz4cfPdiObOnYsZM2aYC2lRFLFkyZIK50Or1WosWLAAOp0OnTt3RrNmzfDXX3/hvvvuw/vvv48VK1agYcOGAO5+uG/ZsmW4ceMGGjRoAODuh/KCgoKKHfM///kP3N3d0bhxY4SFheHPP/+sdCE9efJkNG7cGACwe/duBAcH44UXXgBw9/N148aNw8cff1xqIR0VFWX+/3nz5mH16tVITk42X6gdPHgwunXrBuDuZ+82bNgAADh27Biys7Mxa9YsqNVq9O3bF4888kil2mtJkiex5Obm4vXXX0doaCjc3Nyg0WhK/CMiIiKyVZmm0u8+lmmS/gRGb29vvPrqq3jttdeKLdfr9SgoKDAXuMDdaRG3b982f+3v71+ph9X4+fkVm9vs5uaGrKwsAHc/oDhixAhzsR4QEAC1Wo1bt26Zty8sqIsqeieQoserjKLHu3btGk6ePGnO9/HxwdKlS0t98qXJZMKsWbPQpEkTeHl5mb83RZ+AeW+7srOzAQBxcXGoW7dusfnYISEhlW6zpUi+Ij1p0iTs2LEDw4YNQ1RUFJycnCzZLiIiIiKr8tQElrE8oFrHnTJlClavXo1vv/3WvCwgIABOTk64fv062rRpA+Bu0Vm3bl3zNvd+SK+8J0iXpUGDBli3bh0iIiLK3MbSHwYserwGDRqgW7duiI2NrXC/HTt24IsvvjDPf87IyICPj0+l7nJSp04d3L59G4IgmPNv3LgBLy8vyf2QQvJ38ptvvsGyZcuwdetWvPbaa3j55ZdL/COqrjNnzljt7i8nTpxAdHS0VY5NRNIMGjSo2JUzImsKde0OP219qKEx//PTNkCoa/dqHdfV1RVz587FW2+9ZV6m0WgwcuRIzJ49G+np6bhz5w4WLlyIp59+uszjBAYGQq1W4/Lly5XOfuGFFzB79mzzPqmpqfjss8+kd6aKBg4ciGvXrmHjxo3Iz8+H0WjEmTNn8Pvvv5fYNjMzE87OzvD390dubi7mzJlT6ZyuXbvCzc0NS5cuhcFgwE8//YTvv//ekl2pFMmFtEajwf3332/JtpCdOX/+PGbNmoVRo0Zh1KhReOmll/DHH39IPl5CQgIGDRqEgoICC7aSiKxt586dmD17drFlr776aolP6b/11lvm+Y1EtkCj0qG/30x09hyB5m690dlzhOQPGt5r7Nix8PX1LbbsnXfegb+/P0JDQ9GhQweEhYWVmAJSlJubG+bMmYOePXvCx8cHP/zwQ4W5U6ZMwYgRIzBw4EB4eXmhbdu2ldrPUjw8PPDjjz/i66+/Rv369REYGIjx48cjIyOjxLZjxoxB48aNUbduXTRv3hydOnWqdI5Op8Pu3bvx+eefw9fXF2+//TaeeeYZS3alUiRP7ZgwYQK2bt2Kvn37WrI9ZCdycnKwYMECREdHIyIiAkajERcvXlTUvSOJ6K7WrVvj008/Nd+TtqCgALdu3YKzszNSU1PNxcS5c+cwadIkmVtLVJxGpZP8wcKi7p3KoNVq8e+//xZb5u3tjc2bN5e6f0RERKnziOfPn4/58+cXW3bvdkUfjqJWqzF16lRMnTq11Jx7p000bNiwxLJPPvmk1H2Bu7ekK/r0wGvXrpXYpmnTpvjqq69K3X/evHnm//fw8CixXdG/Qt/7vWrWrFmxtrZr165aF/AsQXIh7e7ujsOHD6Nr167o06dPiU/Uq1QqTJ8+vbrtIxt1+/ZtmEwm9O7dG8Ddv1AU3vcRuDttYvv27YiLi4ObmxtGjx6N3r17w2AwYOvWrTh8+DCMRiM6duyIcePGwc3NzfxbeeGfuV599dUSc++/+OILfP/990hPT4e/vz+efvpp86d59+/fj71796Jt27b4/vvvodPpEBkZaZ4nlpWVhXfeeQenT59GYGAgwsPDrf1tIlKEpk2bQq1W4+LFi2jZsiUuXLiAJk2awMfHB+fOnUP37t1x8+ZNZGRkwM/PDzNnzsTNmzeh0+nQtWtXREdHl/pQCIPBgB07duDw4cPIzc1F+/btMWHCBHh4eKCgoADvvvsuTpw4AUEQEBwcjNmzZ5vvt0tEVBMkF9KvvvoqgLsTu3/77bcS61lIO7a6detCp9NhxYoVCAsLQ2hoKLy9vQEAly5dwtKlSzFjxgw88MADyM7Ohl5/95PRO3fuxOnTp7F8+XI4Oztj2bJliImJwYsvvoglS5Zg3Lhx2LZtm7mAPnPmTLHcWrVqYcmSJfD19cXRo0excuVKhIaGmn94Xr58GT179sSWLVvw22+/YdWqVejcuTPc3Nywfv16CIKADz/8EOnp6SV+wyciaTQaDZo1a4azZ8+iZcuWOHfuHFq2bAkfHx+cPXsW3bt3x7lz5xASEgKNRoOoqCiEhoYiKSkJ8+fPx7fffosnnniixHG3bNmCGzduYPny5XB1dcX777+P9evX4+WXX8bPP/+M7OxsfPjhh9Bqtbh27ZrNPEKZiJRD8t/hBUEo95/JZKr4IGS33Nzc8NZbb0Gr1WLdunV49tlnMXv2bNy5cwf79u1Dz5490alTJ2g0Gnh5eaFJkyYAYH5yk7+/Pzw8PPDss8/i4MGDEAShUrkPPfQQ/P39oVar0aNHD9StWxcXL140r/f398eAAQOg0WjQrVs3qFQq89Xzo0eP4umnn4abmxtq166N/v37W+V7Q6RErVq1Mj9EobCgLiyqC5e1bt0aTZo0QfPmzaHRaFCrVi088sgjxR6+UEgURfzwww+Ijo6Gj48PnJ2dMXr0aBw9ehQmkwkajQaZmZmIi4uDRqNBkyZN+NAeIqpxkq9IE9WvXx8vvvgigLsfFHzvvffw9ttvw93dvdRHowJASkoKatWqZf46KCgIRqMR6enplcr8+eef8dVXXyExMRHA3fuZF/0Aw71TjJydnZGXl4eMjAwYjcZiN8e/92b0RCRdq1atsHPnTuTl5eHq1au4//77odPpkJGRgYyMDPz999+Ijo7G7du3sXHjRly6dAn5+fkwmUxo1KhRieOlp6cjLy8PM2fOLLZcpVIhLS0NPXv2RHJyMpYvX46srCyEhYVhzJgxpU4RISKylmoV0snJyVi7di0OHz6MlJQU+Pn5ISwsDBMnTpTl0eEkn1q1amHgwIFYvnw5wsPDcefOnVK38/PzQ2JiovkHZ2JiIrRaLby9vYvdgL00iYmJePfdd7FgwQLzFa0XX3yxUveb9PLyglarhV6vh7u7OwCYp5sQUfWFhoYCAPbu3YsGDRqYC9rmzZtj//79SE5ORqtWrbB06VKEhIRgxowZcHNzw9dff41Dhw6VOJ6XlxecnJywatWqYr98FzVy5EiMHDkSer0eCxYsQHBwMAYMGGC9ThIR3UNyIX358mWEhYUhKSkJ3bp1Q2hoKOLj47Fw4UKsW7cOhw4dMv85nxzPrVu3cPz4cfTo0QMBAQFIT0/Hvn37cP/996NPnz6YM2cOOnXqhHbt2iE7OxtJSUlo3LgxIiIi8NlnnyE0NBROTk7YunUrwsLCoFar4e3tDbVajfj4+FKfupSXlwcA5rnYP//8M27cuFGp9mo0GnTt2hU7duzAtGnTkJGRge+++85y3xAihdNqtWjWrBm+/PLLYndzatWqFT777DM0aNAAXl5eyM3NhZubG1xdXXH79m18//33pT7JTa1Wo1+/fti4cSMmTJgAPz8/pKWl4cKFC+jSpQtOnz4NLy8v1K9fHy4uLlCr1bxrEJWp6BRAIkuSXEi//PLL8Pb2xrFjx4oVPTdv3kS/fv0wY8YMfPnllxZpJNkeV1dXXLp0Cd988w2ys7Ph5uaG1q1b44UXXoCfnx9efvllbNmyBUuXLoWHhwdGjx6Nxo0bY9iwYcjNzcX06dNhMpnQoUMHjBs3DsDdaRjDhw/H7NmzYTQa8corrxT7M22DBg3wxBNP4NVXX4VKpUKvXr3QrFmzSrf5+eefx5o1a/Dcc88hMDAQvXv3luXm7USOqlWrVjh16hRatmxpXtayZUukpaXhoYceAgBERUVh7dq1+Oqrr9C4cWM89NBDOHnyZKnHe/bZZ7Fz507MmjUL6enp8Pb2Ro8ePdClSxekpqbi/fffR3JyMpydnc13kCIqqkOHDnI3gRycSqzM38VL4e3tjY0bN+LJJ58ssW7nzp2Ijo6u9LzXqoqLi8MHH3yAHj16lJgTS0T2JS0tDYcPH8b48eNRp06dYus41okcS3njncgeVeuuHVpt6Re0tVptpe/CQERERERkjyRP7XjooYfw5ptvIiwsDH5+fublqampWLRoEbp3r95z6omIiIiq48SJE1Y5LqeMUCHJhfSKFSvQo0cPhISEoFevXggODkZCQgL2798PJycnfPTRR5ZsJxERERGRTZFcSLds2RKnT5/GypUrceTIEfz999/w8/PD+PHjMX36dNSrV8+S7SQiIiKSpPD2jJbAO4BQUdW6j3S9evWwcuVKS7WlyrKysmTLJiLLqMw45lgncgwcy+RoqlRIm0wm7NixAy1btsQDDzxQ6jYnTpzA33//jaeeegoajcYijbyX0WgEgDJvmURE9qdwXJe2jGOdyLGUNt6J7FGVCulPPvkE06ZNw99//13mNvXr18cjjzyCvLw88/2BLa3wbiE9e/aEr6+vVTIKaTQaeHp6IjMzEyaTyapZtpTNfJ77mspPTU3FgQMHSr0LkFLGutLzldx3peWXN96pcmJjYzFy5EjEx8db/Njff/89JkyYgGvXrln82I6qSq/kdevW4YUXXijzca0AEBQUhIkTJ2Lr1q1WK6QLNW3atML7UAqCgPj4eAQHB0t66pUoijAajahfvz5UKlWV969OvpzZzOe5r6n8uLg4HDhwoNxtHH2sKz1fyX1XWn5lxrs9++WXX/Dqq6/izJkzAID77rsPCxYsQP/+/SUd79q1a2jUqBFyc3Ph4uJiyaaShVRpxJ0+fRrh4eEVbtejRw+cOnWq0sdNSEjAggUL8NRTT+GZZ57BO++8Y34cNBEREZGty8jIwIABAxAdHY2kpCTcuXMHy5cvh6enp9xNIyuqUiFdUFAAJyenCrfT6XQwGAyVPu57770HDw8PbNq0CWvXrsXt27fx6aefVqVpRERERFVmEEUcyMzBZymZOJCZA4O0Bz7j4sWLMBgMePbZZ6HVauHq6oqIiAj06NEDALB371507NgR3t7eqF+/PjZv3gzgbm01Y8YM1KtXD7Vq1cJzzz2HjIwMAEBYWBgAICAgAB4eHvj+++9L5C5btgz33XcfPD090bx5c+zatcu8bvPmzejSpQtmz54Nf39/1K1bF9u3bzevT01NxZAhQ+Dt7Y02bdrgr7/+ktR3JatSIR0SEoI//vijwu3++OMPNGjQoNLHjY+PR1hYGJydneHl5YUuXbrg+vXrVWkaERERUZUYRBFL41PwaUomfs7MwacpmVgWnyKpmA4NDYWzszNGjx6Nb7/9Fnq93rzuxIkTGD58OObPn4+UlBScPHkSbdu2BQAsXrwYP//8M44fP45//vkHcXFxePHFFwEAhw4dAgAkJSUhKysL/fr1K5HbqFEjHDx4EOnp6Zg3bx6efvpp3Lp1q1h2nTp1kJCQgDVr1uD55583F+qTJ0+GyWTCrVu38OWXX+LDDz+scr+VrkpzpAcPHowVK1Zg1KhRZc5XjIuLw8qVKzFmzJhKH3fQoEE4ePAgWrVqhby8PBw7dgwRERHFtklKSkJSUhIAQK/Xmz8QUdGjyAvXS31kuSiKEAQBgiBInjsmNV/ObObz3MuZX5ROp6vUsey9z0rOV3LfmS+vI1m5uFlgRNGPWN4oMOJIVi56erpV6VheXl44cuQIli1bhkmTJuHWrVsIDw9HTEwMYmJi8Oyzz2LAgAEA7l5hDggIAABs27YNK1asMNdVb731Fh588EFs3LixUrlPPvmk+f9HjBiBJUuW4LfffjM/z6Nu3bqYNGkSAGDIkCGIjIzExYsX0b59e+zcuRMnTpyAp6cnPD09MWnSJLz99ttV6rfSVamQfvXVV/HJJ5+gQ4cOmDNnDh599FHzhxNu3LiBvXv3YvHixXB2dsbMmTMrfdzWrVtj//79GDlyJARBQKdOndC3b99i2+zatQsxMTHmr0eOHAkAlf7UamJiYqXbYw1y5iu570rPd4S+R0VFAeBYZ75tZzNf/nwp9IbS71KSZJR295LmzZubr+peu3YNzz//PJ555hn4+PiUqGsK3b59Gw0bNjR/3bBhQxQUFBS7ol2eLVu2YOXKleY7bWRlZZkvPAJAcHBwse3d3NyQlZUFvV4Pg8FQbAZBSEhIpTLpf6pUSPv5+SE2NhZPPfUUpkyZUuI3V1EU0aVLF2zfvh1+fn6VOqbJZMK8efPw8MMP46233oLRaERMTAxWrlxZrBgfOnSo+YOOer0e+/btA1DyBXIvQRCQmJiIoKCgan2aWavVSv5NXWq+nNnM57mvqfyKCuRNmzYhKirKoce60vOV3Hel5Vvjlm3VEagr/XkXAdrqPwejYcOGmDJlCkaNGoXRo0fj0qVLpW5Xt25dXL9+3TzV49q1a3ByckJgYCBu3rxZbsb169cRHR2Nn376CQ899BA0Gg3at28PsRJTUwIDA6HT6XDjxg20bt0aAHDjxo0q9pKqfCPHRo0a4dixYzhy5AhiY2MRFxcHURRRr1499OzZE926davS8bKzs5GUlISBAwfCyckJTk5O6N+/P2bPnl1su6J/BvHy8jI/7KWybxpqtVryG0zhvlLeYKqTL2c283nu5cwvqvCDy4481pWer+S+M19e3T1c8ct/p3cUauCkRXcP1yof68KFC/jmm28wYsQI1K9fH3q9Hhs2bEDXrl0RHR2NXr16YcCAAejbty9SU1Nx69YttGvXDqNHj8bChQvRuXNnuLq64vXXX8eoUaOgVqsRGBgItVqNy5cvo2XLliUys7OzAdwtioG7V6fPnj1bqfZqNBoMHToUc+fOxZYtW6DX67F27doq91vpJN8RvXv37ujevXu1G+Dl5YXg4GB89913GDp0KEwmE3744Ydif+YgIiIisjSdSoWZwX44kpWLJKMJAVoNunu4QifhFwpPT0/88ccfWL16NdLS0uDl5YVevXrh/fffR+3atbF9+3a8/vrrGDFiBHx9ffHmm2+iXbt2eP3115GZmYkHHngAJpMJjz76KFavXg3g7jSMOXPmoGfPnigoKMCnn34KZ2dnc2aLFi3wyiuv4KGHHoJarcaYMWOqdEHz3XffxdixY1GvXj2EhIQgKioK69atq3LflUxyId23b1+Eh4cjLCwMDz74YKVui1eW1157DRs3bsTXX38NAGjWrBmmT58u+XhERERElaFTqar8wcLS1K1bt9xb9z722GN47LHHSix3dnbGypUrsXLlylL3mz9/PubPn19sWdEpMosWLcKiRYtK3TcyMhKRkZFl7uvv74/du3cXWz9r1qwy+0AlSS6kg4KCEBMTgzfeeAPOzs7o3LkzwsLCEBYWhm7dusHd3b3Sx2rUqBEWLlwotSlERERERDVO8mSmbdu24dq1a7hy5QrWr1+P0NBQfPbZZ+jXrx98fX3RpUsXS7aTiIiIiMimSL4iXahhw4Zo2LAhHnzwQXTs2BGffPIJDh48WKkHtxARERER2SvJhfTZs2dx8OBBHDx4EIcOHUJycjLatGmDsLAwTJ061fxYSyIiIiIiRyS5kG7Tpg1cXV0RGRmJTZs24aGHHoKXl5cl20ZEREREZLMkF9KDBg3C0aNH8cEHH+DEiRMICwtDeHg4unfvDm9vb0u2kYiIiEiyixcvyt0EclCSC+nC26WcO3cOhw4dwqFDh/D8888jPj4erVu3Rnh4OFatWmWhZhIRERFVTYcOHeRuAjm4an/YsGXLlmjZsiUGDRqE2NhYbNiwAQcPHsTp06dZSBMRERGRw5JcSF+7ds38YcODBw/i2rVr0Ol0aN++PV555RWEh4dbsp1ERERERDZFciHduHFjuLi4oHPnzhg9ejTCw8PRrVs3uLpW/fn0RERERJZ24sQJqxyXU0aokORC+tChQ+jcuXO1Hg1ORERERGSvJBfS3bt3N/+/KIq4c+cOgoKCoNVWe9o1ERERkcWEhoZa7Fi8AwgVJfkR4QDwww8/oEuXLnBxcUGDBg1w+vRpAMD48eOxfft2izSQiIiIiMgWSS6kP/74Y/Tv3x8hISF45513IAiCeV2TJk2wadMmizSQiIiIiMgWSZ6H8eabb2LatGlYsWIFTCYTXnjhBfO6li1b4u2337ZIA8sSHBwMrVYLURTL3U4URfN2FW1b1v5F/ytlf6n5cmYzn+e+pvIrmg6mhLGu9Hwl911p+Zz+WTGVSoXz58+jWbNmcjeFKkHyK/rKlSvo379/qevc3d2Rnp4uuVGVMXbsWACA0WiscFtfX18IglDsqnlVmUwmyftWN1/ObObz3Fs739fXt9z1ShrrSs9Xct+Vkl/ReLdXS5Yswb59+3DgwAHzsu7duyM5ORnnz583L3vyySdRv359q19spJojuZAODg7GhQsX0Lt37xLrTp8+jZCQkGo1rCIbN27EkCFDEBgYWO52giAgOTkZ/v7+UKurPpNFFEWYTCZoNBqoVKoq71+dfDmzmc9zX1P5er2+3PVKGOtKz1dy35WWX9F4t1cRERFYsGAB8vPz4ezsjLy8PJw/fx7u7u5ISEhArVq1AACHDx/G+vXrZW4tWZLkOdJPPfUU5s2bh/3795uXqVQqnD17FkuXLsXTTz9tkQaWJT4+HkajESqVqsJ/ld2urH+FfZP6rzr5cmYzn+e+JvIrutKslLGu9Hwl911J+ZX5y1JNMxlEXDmQgzOfZeLKgRyYDFWf4tKpUydoNBocP34cAHDs2DF06NAB4eHhOHToEADg/Pnz0Ov1qFOnDrp16wYfHx8EBwdj4sSJyM/PL/W4BQUFeO2119CwYUMEBATgqaeeQmpqKgAgLy8PzzzzDPz9/eHj44MOHTrg1q1bEr8LJJXkQnrevHno1q0b+vTpg+DgYADAo48+irZt26Jjx46YNWuWxRpJREREZGkmg4hDS1Nw+tNMXP45B6c/zcThZSlVLqa1Wi26deuGgwcPArj7rI2wsDCEhYUVW9a6dWvodDosX74cSUlJ+PXXX3HgwAGsWbOm1OO+9tprOHnyJI4fP46bN2/CyckJkydPBgB89NFHSEtLw82bN5GcnIwNGzbA3d29Gt8NkkJyIe3k5ISvvvoK+/fvR3R0NKKjoxEZGYkffvgBX331FT9QQERERDbt+pFcpN80QjTB/C/thhHXj+RW+VgRERHmovngwYMlCumDBw8iIiIC7du3R7du3aDVatGwYUM8//zz5m2KEkUR69evx9tvv42goCC4urrizTffxM6dO2E0GqHT6ZCcnIx///0XGo0G7du3d9g56Las2tVuz5490bNnT0u0hYiIiKjGZOtL/4BldlLVP3gZHh6ORYsWITs7G3/99RcefPBBODs7IykpCUlJSTh8+DBWr16Nixcv4qWXXsIff/yBnJwcGI1GtG3btsTx9Ho9srOz0bVr12LL1Wo1EhIS8Mwzz+DWrVt46qmnkJKSglGjRmHJkiVwdnaucttJuipdkfb09ISXl1el/nl7e1urzURERETV5h6oKX15QOnLy9O5c2cAwPvvv49WrVqZC9ru3btj8+bNuH37NsLCwvDCCy/gvvvuw8WLF5GRkYElS5aUetvAgIAAuLq64q+//kJaWpr5X15eHurWrQudToe5c+fi3Llz+O233/Djjz9iw4YNVW43VU+Vrki//PLL5g8llOXIkSPYv39/hdsRERERySmkuyuu/3J3ekchnwZahHR3rfKxdDodunbtiuXLlyM6Otq8PCwsDIsWLULLli0REBCAzMxMeHl5wdPTExcvXsS6detKvfioVqvx/PPPY/r06XjvvfdQu3ZtJCYm4tixYxg8eDAOHDiAgIAAtGjRAh4eHtBqtdBoqv4LAFVPlQrpefPmlbnu6NGj5rt4tGnTBnPnzq1u24iIiIisRqNTIWymH64fyUV2kgnuARqEdHeFRiftYmBERAT279+PsLAw87KwsDBMnToVw4YNAwAsX74c48ePx8qVK9G+fXsMGzYM+/btK/V4b731FhYvXozu3bsjMTERtWrVwogRIzB48GDEx8djwoQJuH37Ntzd3TFkyBDzffep5lR7jvThw4cxf/58HDhwAG3btsUXX3yBxx9/3AJNIyIiIrIujU6Fxj3dLHKsOXPmYM6cOcWWtW3bttjUjbCwMFy4cKHYNgsWLDD/f9FtnZ2dMX/+fMyfP79E1qhRozBq1CiLtJukk3zXjkOHDqFXr14IDw9HWloavvzyS/z5558soomIiIhIEapcSMfGxqJnz56IiIhAdnY2vvnmG/zxxx8YNGiQNdpHRERERGSTqjS1IyIiAocPH8aDDz6I7777Dv369bNWu4iIiIiIbFqVCunCx1yeOXMGw4cPL3dblUqF9PR06S0jIiIiIrJhVSqk//Of/1irHUREREREdsVmCulffvkFO3bsQEJCAry8vDB27Fh069bNanlERESkDBcvXpS7CeSgqn37O0s4deoUNmzYgBkzZqBZs2bIyMhAXl6e3M0iIiIiO9ahQwe5m0AOziYK6R07dmDEiBFo0aIFAMDHx0feBhERERERVUD2QtpkMuHff/9Fx44dMX78eBQUFKBt27YYN24cPDw8zNslJSUhKSkJAKDX62EymQAAgiCUe/zC9RVtVxZRFCEIAgRBkPTY8+rky5nNfJ57OfOL0ul0lTqWvfdZyflK7jvzieyb7IV0WloajEYjjhw5gsWLF8PFxQUrVqxATEwMpk+fbt5u165diImJMX89cuRIAEB8fHylchITEy3b8CqSM1/JfVd6viP0PSoqCgDHOvNtO5v58ucTyUH2QtrZ2RkAMGDAAAQEBAAAhg0bhsWLFxfbbujQoQgPDwdw94p04XPpg4ODyz2+IAhITExEUFAQ1OqqP8hRFEUYjUZotVrJv6lLzZczm/k89zWVX1GBvGnTJkRFRTn0WFd6vpL7rrT8yv5CTGQvZC+kPTw8EBAQUOHgDQgIMBfaXl5e0Gg0AFDpNw21Wi35DaZwXylvMNXJlzOb+Tz3cuYXZTAYzMeyZqbcfVZyvpL7znwi+2YTr/i+fftiz549SE1NRU5ODnbt2oXOnTvL3SwiIiIiojLJfkUauDuVIyMjA5MmTYJGo0HHjh0RHR0td7OIiIiIiMpkE4W0RqPB+PHjMX78eLmbQkRERERUKTYxtYOIiIiIyN6wkCYiIiIikoCFNBERERGRBCykiYiIiIgkYCFNRERERCQBC2kiIiIiIglYSBMRERERScBCmoiIiIhIAhbSREREREQSsJAmIiIiIpKAhTQRERERkQQspImIiIiIJGAhTUREREQkgVbuBkgVHBwMrVYLURTL3U4URfN2FW1b1v5F/ytlf6n5cmYzn+e+pvK12vLfhpQw1pWer+S+Ky2/ovFOZG9UotSRI6O4uDgEBgbK3QwispBFixZh/PjxqFOnTrHlHOtEjqes8U5kj+z2V8ONGzdiyJAhFf6QFQQBycnJ8Pf3h1pd9ZksoijCZDJBo9FApVJVef/q5MuZzXye+5rK1+v15a5XwlhXer6S+660/IrGO5G9sdtCOj4+HkajscJBr1KpzNtJeYMoehwp+1siX85s5vPcWzvfaDSWu15JY13p+Uruu1LyKxrvRPaGHzYkIiIiIpKAhTQRERERkQQspImIiIiIJGAhTUREREQkAQtpIiIiIiIJWEgTEREREUnAQpqIiIiISAIW0kREREREErCQJiIiIiKSgIU0EREREZEELKSJiIiIiCRgIU1EREREJIFNFdIZGRkYPXo0ZsyYIXdTiIiIiIjKZVOF9IcffoiGDRvK3QwiIiIiogrZTCF95swZxMfHo2fPnnI3hYiIiIioQlq5GwAABoMB69evx4wZM3D58uVSt0lKSkJSUhIAQK/Xw2QyAQAEQSj32IXrK9quLKIoQhAECIIAlUpV5f2rky9nNvN57uXML0qn01XqWPbeZyXnK7nvzCeybzZRSO/cuRPt27dHw4YNyyykd+3ahZiYGPPXI0eOBADEx8dXKiMxMbH6Da0GOfOV3Hel5ztC36OiogBwrDPftrOZL38+kRxkL6Tj4uIQGxuL1atXl7vd0KFDER4eDuDuFel9+/YBAIKDg8vdTxAEJCYmIigoCGp11WeyiKIIo9EIrVYr+Td1qflyZjOf576m8isqkDdt2oSoqCiHHutKz1dy35WWX9lfiInsheyF9Pnz55GcnIzo6GgAgNFoREFBAUaPHo2YmBi4ubkBAAICAhAQEAAA8PLygkajAYBKv2mo1WrJbzCF+0p5g6lOvpzZzOe5lzO/KIPBYD6WNTPl7rOS85Xcd+YT2TfZC+nu3bujbdu25q+PHj2KAwcOYM6cOXB1dZWxZUREREREZZO9kHZ2doazs7P5aw8PD2i1WvPVZyIiIiIiWyR7IX2v3r17o3fv3nI3g4iIiIioXJzMREREREQkAQtpIiIiIiIJWEgTEREREUnAQpqIiIiISAIW0kREREREErCQJiIiIiKSgIU0EREREZEELKSJiIiIiCRgIU1EREREJAELaSIiIiIiCVhIExERERFJwEKaiIiIiEgCFtJERERERBJo5W6AVMHBwdBqtRBFsdztRFE0b1fRtmXtX/S/UvaXmi9nNvN57msqX6st/21ICWNd6flK7rvS8isa70T2RiVKHTkyiouLQ2BgoNzNICILWbRoEcaPH486deoUW86xTuR4yhrvRPbIbn813LhxI4YMGVLhD1lBEJCcnAx/f3+o1VWfySKKIkwmEzQaDVQqVZX3r06+nNnM57mvqXy9Xl/ueiWMdaXnK7nvSsuvaLwT2Ru7LaTj4+NhNBorHPQqlcq8nZQ3iKLHkbK/JfLlzGY+z721841GY7nrlTTWlZ6v5L4rJb+i8U5kb/hhQyIiIiIiCVhIExERERFJwEKaiIiIiEgCFtJERERERBKwkCYiIiIikoCFNBERERGRBCykiYiIiIgkYCFNRERERCQBC2kiIiIiIglYSBMRERERScBCmoiIiIhIAhbSREREREQSaOVugMFgwLp163Dq1ClkZmYiICAAw4YNQ0REhNxNIyIiIiIqk+yFtMlkgp+fHxYuXIigoCBcuHABCxYsQHBwMJo1ayZ384iIiIiISiX71A4XFxeMHj0awcHBUKvVaNGiBZo3b47z58/L3TQiIiIiojLJfkX6Xnl5ebh06RIee+yxYsuTkpKQlJQEANDr9TCZTAAAQRDKPV7h+oq2K4soihAEAYIgQKVSVXn/6uTLmc18nns584vS6XSVOpa991nJ+UruO/OJ7JtNFdKiKGL16tVo2rQp2rdvX2zdrl27EBMTY/565MiRAID4+PhKHTsxMdFyDZVAznwl913p+Y7Q96ioKAAc68y37Wzmy59PJAebKaRFUcR7772H5ORkLFiwoMRvxUOHDkV4eDiAu1ek9+3bBwAIDg4u97iCICAxMRFBQUFQq6s+k0UURRiNRmi1Wsm/qUvNlzOb+Tz3NZVfUYG8adMmREVFOfRYV3q+kvuutPzK/kJMZC9sopAWRRHr1q3DlStX8Oabb8LFxaXENgEBAQgICAAAeHl5QaPRAECl3zTUarXkN5jCfaW8wVQnX85s5vPcy5lflMFgMB/Lmply91nJ+UruO/OJ7JtNFNLr16/HP//8g4ULF8LNzU3u5hARERERVUj2QjoxMRHfffcddDodnnvuOfPyJ598EsOHD5exZUREREREZZO9kA4KCsLXX38tdzOIiIiIiKqEk5mIiIiIiCRgIU1EREREJAELaSIiIiIiCVhIExERERFJwEKaiIiIiEgCFtJERERERBKwkCYiIiIikoCFNBERERGRBCykiYiIiIgkYCFNRERERCSB7I8IJypNjknAvzm5EEwm3O/hDjetRu4mWVRcfgHu5BsQoNMixNVZ7uZYVIEg4GJ2LhIKTHAzmuDjxN/Xqys/y4Sky3nQaFUIuM8FWmd+T4mIbAELabI5N/Py8ebVOGSaTAAAH60GbzSqizrOTjK3zDI+T0jG5/pUqAEIAHr5emFcnUCoVCq5m1ZtqQYjFly9jfgCAwBg66UbeDWkDpq7u8rcMvuVdCkPPy6OgzFPgCgCHoFa9J1bFx4BOrmbRkSkeLysQTZn+Y14ZJlMEAGIANKNJqy8ES93syziTFYOdulTAdwtogEgNjUDh9Iy5WuUBa27nYjEAoP53OUJIpZfv4MCQahoVyqFYBLx87I7MOQKEAUAIpCdbMSRNQlyN42IiGDHV6SDg4Oh1WohimK524miaN6uom3L2r/of6XsLzVfzmy58nNMJiT892pmIQHArfwC5JtMcFJX/nc/W+z/xexcaFWAocghRQAXc/IQ5uNp1eyq7i8l/2JOLkz3LMsWBCTkG1DPpfS/KGi15b8NKWGsl5WfnWxAXnrx76hoApIu55XIsOf+2+L3nvnWya9ovBPZG7t9RY8dOxYAYDQaK9zW19cXgiBAqMZVMZPp3vKg8qqbL2d2TeerRdE85aEorQqAyQRjFftha/13Ud0tnItSA3BVlf5atrdz76JWI1couY8zhDLHqq+vb7nHVNJYvzdf7VT6cbQu6lK/H/bef1v63jPfOvkVjXcie2O3hfTGjRsxZMgQBAYGlrudIAhITk6Gv78/1FW4mllIFEWYTCZoNBpJc1irky9ntlz5WgCPBfjgm6Q0czGtBvB4gC+cdFWbE2qL/e/h641vUjKQaTTBhLt906lV6OPvU+xKjb2e+2FBfoiJ05t/WdAA6OLtgUAXlzL30ev15R5TCWO9rHyttxb39fLE5YOZEP9b46hUQNsn/Upc2bPn/tvi95751smvaLwT2Ru7LaTj4+NhNBorHPQqlcq8XXU+zCV1f0vky5ktR/6IWv7w1mpxKC0DEIGevl7o6+9d5TbYYv+9dFosalIfW+/ocTO/AEE6HZ4ODkCtMj5IaW/nvpefN5zUanyfnIbsggJ08fXG0Fr+5R6joivNShrrpeV3iQ6CR4AO13/Lglqrwv19vHFfhFeN5VdlP77XMb+i/SvzlyUie2K3hTQ5LrVKhf4BPnjU3xtGoxFardYh7mhRyF+nxbQGteVuhtV09/FENy93xMfHIzjID2oHOndyUKtVaDPED22G+MndFCIiugfv2kFEREREJAELaSIiIiIiCVhIExERERFJwEKaiIiIiEgCFtJERERERBKwkCYiIiIikoCFNBERERGRBCykiYiIiIgkYCFNRERERCQBC2kiIiIiIglYSBMRERERSaCVuwEAkJWVhbVr1+LPP/+Eq6srhg8fjv79+8vdLCIiIiKiMtlEIb1+/XqYTCZs2rQJd+7cwdy5c1GvXj20adNG8jELBAGfJCTjZGYO1CYjBrtmIszX24KtltfV3Hxsjdcj2WBEfWdnRNYOQICTTu5mEcki8Z9cnNiRhKykAgQ1TUDnqEC4etvE2xtVIP12AY5/pEdGvAHetXXoHBkIr9pOcjfLIkRRxD8/pOPizxkQTSIadvVA6yf8oNao5G6aReSkGnF8sx4p1/KhdRfQJTIPQaFucjeLqEbJPrUjLy8PR48exdNPPw03Nzc0adIEvXr1wk8//ST5mKIoYvXNePyQko47BQbcNol4/7YesakZFmy5fG7nF2DulVu4kJ2HhAIjTmZmY86VW8gymuRuGlGNS7qchx/m34b+Yj5yk0Xc/D0b38+9DUOeIHfTqAJZSQZ8N+cm4s/mIjvRiDtnc/HdnFvISTHK3TSLOPtVKn7fkoS0GwVIv23AmS9TcXyzXu5mWURBjoC9b9zCrT+ykZVgRNpVAfvmxyHler7cTSOqUbJfsrl9+zYAoEGDBuZljRs3xu7du4ttl5SUhKSkJACAXq+HyXS3aBSEkj8sEwoMOJGZU2yZCOCLxBSEeXtUqX2iKEIQBAiCAJWq6lcRCttXWjulZu9LToNJFFF4RBOALJMJx9Iz0dvXyyLZ5eVXFvMtf+5rItsW8ovS6XTlHuvvPakQRdwd5AAE090C7dafWQjpUvnxLneflZj/78/pMBlEiP/dRTQBxnwBlw5loNUgH6tmF2Wtvp/ZnWruG3D3tXnxxww8MMoPWpf/Xceyx3N/4/dM5KYaIRRevxEBUQDO701F1/FBktpBZI9kL6Tz8vLg6upabJm7uztyc3OLLdu1axdiYmLMX48cORIAEB8fX+KYt4ylv5lkG42lbl8TEhMTLXas5Kx8lOihCCSkpSM+P6fE9pbMloL58uU7Qt+joqIAlD7WASAzJc9cRBdSqYCk+DQ4x2dVO7+qHOF7XlP56ckFxQpNABBFIC0xA/HxeVbNtoai+aIgwpgvlrrd7RsJcPay/PSOmux/coIBuKcLoghkJOfK9nOWSA6yF9IuLi4liubs7OwSxfXQoUMRHh4O4O4V6X379gEAgoODSxzTRxDglnUDOUV+O9cAaOHhVur25RFFEUajEVqtVvKVgsTERAQFBUGtrtpMmrKy26dm4M87ScWKaSOADrUCEezmYpHs8vIri/mWP/c1kV3T+RX90N20aROioqLKHLsN2qch5d8UiEVmNgkmoEmHIPgEV36urZK+57aSX9A+GzcOJRRvhwA07BCA4ODKz7W11b4HNLmN5Kv55temSg24+mrRoGlwsRx7PPe6Dvn458vbxZapNEBIex8EB5f9eSQW2eRoZC+k69atCwC4efMm6tevDwC4evUqQkJCim0XEBCAgIAAAICXlxc0Gg0AlPqm4aZW45WQ2lh6PQ55gggRQD1nJ4yvW0tSQaNWq6FWqyW9wRUqPIYlsnv5eeNyXgF+Ts0wXxB4upY/mnuU/oNHSnZ5+VXFfMud+5rItoX8ogwGg/lYpWk50BcpV/Nx/ddsQHX3anSXcUHwC3EpdfuyyN1nJeaHPOiBlgPzce6btLtXN0Wg9RO+aNChalPwpGQXZa2+h70YjH0LbyMrwQioAGcPDXrPrG3++WXt/MqSkh/YxBUPPheI3z7875xvEQjp4o7m/XygUjvGhymJKkP2QtrFxQUPPfQQtm/fjqlTpyIhIQH79+/HzJkzq3Xc5u6uWBPaEFdz85CZmoKOdevA6Z43L3ulUqkwvm4QHvX3RorBhNrOOgTxjh2kUGqNCmEvBiNlcB7iriWhYata8Ax0jLs+ODqVSoUOowNwX09PpMfnwzvYGd51nOVulsV4BOowaFkDJF/Jh2gS4d/YBTpX2T/jbzH39/FG3fZuSLuVjxxjGpq0D2IRTYojeyENAM8//zzeffddREZGws3NDaNHj0bbtm2rfVwPrQYt3V0Rn6mBthq/5duq+i7OqF+1i25EDkmlUsE3xBn5zhq4+9vE2xpVgVdtJ7gFqqHVOt650zqpUauZa8Ub2imPAB3c/DSIj8+o1tV0IntlE+9aHh4emDVrltzNICIiIiKqNMf5GxMRERERUQ2yiSvSUhXeV7oypH5SWKvVwtfXF3q9Hkaj9IcESMmXM5v5PPc1lV+ZcezoY13p+Uruu9LyqzKWieyBXRbSbm5u0Ol0+OKLLyrcNi8vD9evX0dISAhcXGp+QrGc+Uruu9Lz7a3vOp0Obm4l7zrDsc58W89mvuXGO5E9UomiWPod421cWloacnJKPnzkXpcvX8b06dPx9ttvo0mTJjXQMtvJV3LflZ5vb313c3ODj49Pqes41plvy9nMt+x4J7I3dnlFGgB8fHwqNRAzMjIAAIGBgahTp46VW2Vb+Uruu9LzHanvHOvMt+Vs5sufTyQnftiQiIiIiEgChy+kAwICMG7cOPNTEZWUr+S+Kz1fiX1XYp+ZL3828+XPJ5KT3c6RJiIiIiKSk8NfkSYiIiIisgYW0kREREREErCQJiIiIiKSgIU0EREREZEELKQdVE5ODlJTU8HPklJN4uuu5vF7TnLha4/Ijh/IUlUGgwETJ05ETEyM1TIOHjyI8PBwAEBBQQE++ugjHD16FKIoomvXroiKioKzs7PV8gVBwM6dO/Hjjz8iKSkJAKDRaNC0aVOMHj0arVu3tlp2bm4utmzZgri4ODz++OOoVasWli9fjjt37qBdu3aYNGkSPDw8rJY/atQodO/eHQ8//DDuv/9+q+VI4eivPTlfd2Wx9vdcyWMd4Hgvi6OPdUD+1x6RrVHUFenExESrHv+9994z///HH3+Mf/75By+//DJeeeUVXLlyBTt27LBq/ocffojffvsNTz31FKZMmYJGjRph9OjRCA8Px8qVK/HLL79YLfuDDz5AVlYWvL298dZbb+HAgQOIjo7Ga6+9hpSUFGzbts1q2cDdHyg5OTmYPXs2Jk2ahC+//BKpqalWzawKR37tyfm6K481v+dKHusAx3t5HHmsA/K/9ohsjUNdkY6MjCxznSiKUKlUNdaWY8eOYe7cuebHpb700kuYM2cOoqKirJZ54MABrF271vw45Xbt2mH27NlYt24dQkJC8P7776Nbt25Wyf7zzz+xfv16CIKAgwcP4pFHHjHfnD8oKAizZ8/GhAkTrJINAFqtFq+88goyMzNx8OBB7N+/H1u3bsUDDzyAhx9+GJ06dYJGo7FavpJfe3K97mzle660sQ4oe7zbyusOUOZrj8jWOFQhnZ+fj7FjxyI4OLjEOoPBgPnz59dYW7Kzs81vbgAQHByMzMxMq2ZqNBq4urqav3ZxcUFeXh4AoHnz5khISLBadkFBAVxcXAAAbm5uxZ5wFRwcjKysLKtlF+Xp6YmBAwdi4MCBuHr1Kn766SesXbsWALB161ar5Sr5tSfX685WvudKG+uAsse7rbzuAGW+9ohsjUMV0o0bN4ZWq0WrVq1KrDMYDFb/QER+fj5mzpxp/v+EhATUqlULAJCammr+wWMtnTt3xooVKzB06FCIoojPP/8cbdu2BQBkZmbC3d3datleXl7IysqCh4cHXn755WLrUlNTi73x1pRGjRph3LhxiIqKwvHjx62apeTXnlyvOzm/50oe64Cyx7uSxzog/2uPyNY4VCE9cuTIMt9EtFotFi1aZNX8KVOmlLnuypUriIiIsGr+2LFjsXHjRixcuBCiKKJDhw4YN24cgLufri78f2t44oknkJOTAw8PD3Ts2LHYuj///BNdunSxWjYAtGjRosx1Wq3W6n9qVPJrT67XnZzfcyWPdUDZ413JYx2Q/7VHZGtUIu9bQ0RERERUZQ51RbpQfHw8bty4gdzcXLi6uqJBgwalzmdjfs3R6/UIDAxUbD5Zj5yvd7nHmtz5ZZF7vMmdT0TK4VBXpJOTk7FixQpcuHABAQEB8PDwQHZ2NvR6PZo3b46XX34Zfn5+zK9hBoMBw4YNw+7du2s8u6by09LSsHr1apw/fx4NGjTAc889h2bNmpnXjxgxAp9++qlD5suVLefrXe6xJnd+eRx9vCt5rNtCPpGtcagr0u+88w4aNGiA119/vdjDALKysrB9+3asXr3aqp+oVnL+7du3y1xnNBqt/gEcufM3btwIT09PvPnmmzhz5gwWLFiAKVOmoGvXrlbNtYV8ubLlfL0reawD8o83OfOVPNZtIZ/I1jhUIX3hwgXMmTMHOp2u2HIPDw9ERkbimWeeYb6VTJw4ESqVqswfYNa+t6rc+adOnUJMTAycnZ3RtGlTtGrVCosWLYLBYEBYWJhVs+XOlytbzte7ksc6IP94kzNfyWPdFvKJbI1DFdLe3t44f/482rRpU2LdxYsXzTeQZ77l+fr6Yvbs2WjatGmJdQUFBRg+fLjVsm0h32AwFPs6NDQU8+bNw7x580qsc7R8ubLlfL0reawD8o83OfOVPNZtIZ/I1jhUIf3ss89i0aJF6NixIxo2bAh3d3fk5OTg6tWr+PPPP8u9bRDzq+e+++7DpUuXSv3BVt6VI0fJDwkJwdmzZ9GhQwfzskaNGmHBggWYO3cu8vPzHTZfrmw5X+9KHuuA/ONNznwlj3VbyCeyNQ71YUMAuHXrFmJjY3H9+nXk5eXBxcUFISEhiIiIQL169ZhvJampqVCpVFa/Emar+X/88QdycnJK/dPmjRs38OWXX+LFF190yHw5s+Ucb0od64D8403OfCWPdVvIJ7I1DldIExERERHVBLXcDbA2a/+Jk/m2mc18ZZ57JfaZ+fLnK7nvtpBPJCeHL6QTExOZr8Bs5ivz3Cuxz8yXP1/JfbeFfCI5OXwhTURERERkDQ5fSE+cOJH5CsxmvjLPvRL7zHz585Xcd1vIJ5ITP2xIRERERCSBw1+RLmQwGDBu3DjmKyyb+co890rsM/Plz1dy320hn0gOiimkAfk/EKHkfCX3Xen5/OAh85WUr+S+20I+UU1zqCcbRkZGlrlOFEWoVCrmO2A285V57pXYZ+bLn6/kvttCPpGtcahCOj8/H2PHjkVwcHCJdQaDAfPnz2e+A2YzX5nnXol9Zr78+Uruuy3kE9kahyqkGzduDK1Wi1atWpVYZzAYYO3PVSo5X8l9V3q+XNlK7DPz5c9Xct9tIZ/I1jjUXTvOnDkDFxcXNG3atMQ6URRx7ty5Ugc/8+07m/nKPPdK7DPz5c9Xct9tIZ/I1jhUIU1EREREVFMUddcOvV7PfAVmM1+Z516JfWa+/PlK7rst5BPVNMUU0nLf31LJ+Uruu9LzeR9p5ispX8l9t4V8Ijk41IcNb9++XeY6o9Fo9Q9BKDlfyX1Xer5c2UrsM/Plz1dy320hn8jWOFQhPXHiRKhUqjIHsrXvb6nkfCX3Xen5cmUrsc/Mlz9fyX23hXwiW+NQhbSvry9mz55d6qeJCwoKMHz4cOY7YDbzlXnuldhn5sufr+S+20I+ka1xqDnS9913Hy5dulTquvJ+g2a+fWczX5nnXol9Zr78+Uruuy3kE9kah7r9XWpqKlQqFXx8fJivoGzmK/PcK7HPzJc/X8l9t4V8IlvjUIU0EREREVFNcaipHaWZMmUK8xWYzXxlnnsl9pn58ucrue+2kE8kJ4cvpBMTE5mvwGzmK/PcK7HPzJc/X8l9t4V8Ijk5fCFNRERERGQNDl9IT5w4kfkKzGa+Ms+9EvvMfPnzldx3W8gnkhM/bEhEREREJIFDXZEWRRFffPEFFi5ciK1btyIrK6vY+gULFjDfAbOZr8xzr8Q+M1/+fCX33RbyiWyNQxXS27dvx8GDB9GiRQtcvXoV06ZNQ1xcnHn9uXPnmO+A2cxX5rlXYp+ZL3++kvtuC/lENkd0IM8995yYmJho/vqbb74RIyMjxRs3boiiKIrDhw9nvgNmM1+Z516JfWa+/PlK7rst5BPZGoe6Ip2dnQ0/Pz/z1wMHDsSYMWPwxhtv4OrVq8x30GzmK/PcK7HPzJc/X8l9t4V8IlujlbsBlhQUFIRr166hSZMm5mU9e/aEWq3G3LlzYTAYmO+A2cxX5rlXYp+ZL3++kvtuC/lEtsahrkj37NkTp06dKrE8PDwc0dHR8Pf3Z74DZjNfmedeiX1mvvz5Su67LeQT2Rre/o6IiIiISAKHuiJNRERERFRTHKqQTktLw/z58zFy5EjMnDkTFy5cKLZ+xIgRzHfAbOYr89wrsc/Mlz9fyX23hXwiW+NQhfTGjRvh6emJN998E126dMGCBQtw7Ngx5jt4NvOVee6V2Gfmy5+v5L7bQj6RrXGou3acOnUKMTExcHZ2RtOmTdGqVSssWrQIBoMBYWFhzHfQbOYr89wrsc/Mlz9fyX23hXwiW+NQhfS9t90JDQ3FvHnzMG/evBq5JY+S85Xcd6Xny5WtxD4zX/58JffdFvKJbI1DTe0ICQnB2bNniy1r1KgRFixYgC1btiA/P5/5DpjNfGWeeyX2mfny5yu577aQT2Rz5H60oiX9/vvvYmxsbKnrrl+/Lq5atYr5DpjNfGWeeyX2mfny5yu577aQT2RreB9pIiIiIiIJHGqONABkZ2fj2LFjuH79OnJzc+Hq6oqQkBB06dIFHh4ezHfQbOYr89wrsc/Mlz9fyX23hXwiW+JQV6T//vtvLFq0CLVq1UKjRo3g7u6OnJwcXLlyBQkJCZg9ezZatGjBfAfLZr4yz70S+8x8+fOV3HdbyCeyOfLOLLGsyZMniwcOHCh1XWxsrDh58mTmO2A285V57pXYZ+bLn6/kvttCPpGtcai7dsTHx6N79+6lruvWrRvi4+OZ74DZzFfmuVdin5kvf76S+24L+US2xqEK6YYNG+Kbb74pdd23336LkJAQ5jtgNvOVee6V2Gfmy5+v5L7bQj6RrXGoOdI3btzAwoULUVBQgJCQELi5uSEnJwfXr1+Hk5MT5syZgwYNGjDfwbKZr8xzr8Q+M1/+fCX33RbyiWyNQxXSAGAymXDmzBlcv34deXl5cHFxQUhICFq3bg2NRsN8B81mvjLPvRL7zHz585Xcd1vIJ7Ip8k7RtrwLFy6Iu3fvFv/8888S63bu3Ml8B81mvjLPvRL7zHz585Xcd1vIJ7IlDjVH+uDBg5g3bx5OnTqFlStXYuHChcUeV7pz507mO2A285V57pXYZ+bLn6/kvttCPpHNkbuSt6TJkyeL586dE0VRFHNzc8W33npLfPXVV8Xc3FxRFEVx+PDhzHfAbOYr89wrsc/Mlz9fyX23hXwiW+NQV6T1er35RvAuLi549dVXUb9+fbzxxhvIzs5mvoNmM1+Z516JfWa+/PlK7rst5BPZGocqpD09PZGYmFhs2aRJk9C4cWO88cYbMJlMzHfAbOYr89wrsc/Mlz9fyX23hXwiW+NQhXTbtm3x008/lVj+wgsvIDQ0FAaDgfkOmM18ZZ57JfaZ+fLnK7nvtpBPZGsc6vZ3BoMBgiDA2dm51PV6vR6BgYHMd7Bs5ivz3Cuxz8yXP1/JfbeFfCJb41CFNBERERFRTXGoqR1ERERERDWFhTQRERERkQQspImIiIiIJGAhTUREREQkAQtpIqqSefPmQaVSQaVSQa1Ww9vbG23atMHkyZNx/vz5Kh8vNjYWixcvtkJLiYiIrIuFNBFVmaurK44dO4ZffvkFn3/+OSIjI/HTTz+hXbt22LZtW5WOxUKaiIjslVbuBhCR/VGr1ejSpYv56z59+mDixIkYMGAAxo4di27duqFx48YytpCIiMj6eEWaiCzCxcUFa9asQUFBATZs2AAA2LJlC7p37w4/Pz/4+voiIiICx48fN+8zb948zJ8/H9nZ2ebpIhEREeb158+fx+DBg+Ht7Q13d3cMGDAAly9frumuERERlYpXpInIYlq0aIG6devi2LFjAIBr165hzJgxaNKkCQoKCrBjxw6EhYXh9OnTCA0NRXR0NG7duoUdO3bg559/BgB4eXkBAK5cuYJu3bqhVatW2Lx5M9RqNRYtWoTevXvjn3/+KfPJakRERDWFhTQRWVT9+vURHx8PAJg7d655uSAI6NOnD37//Xds3rwZixcvRr169VCvXr0SU0UAYP78+fD19cWPP/4IFxcXAEC3bt3QqFEjbNy4ERMnTqy5ThEREZWCUzuIyKJEUYRKpQJwd2rGE088gVq1akGj0UCn0+Gff/7BxYsXKzzOvn37MHjwYGi1WhiNRhiNRvj6+qJt27b4/fffrd0NIiKiCvGKNBFZ1K1btxAaGorMzEz07dsXgYGBWLlyJUJCQuDi4oLo6Gjk5eVVeJykpCSsWrUKq1atKrHO1dXVCi0nIiKqGhbSRGQx586dw+3btxEZGYljx47h1q1b+Pbbb9G2bVvzNunp6ahXr16Fx/Lz88OAAQNKncLh6elp0XYTERFJwUKaiCwiLy8PU6ZMgbOzM6Kjo3Hq1CkAgJOTk3mbX375BdeuXUPLli3Ny5ycnJCfn1/ieA8//DDOnj2L9u3bQ6PRWL8DREREVcRCmoiqTBAE/PrrrwCArKwsnDlzBh988AGuXLmCzZs3o2HDhnB1dYWHhwcmTZqEWbNm4fbt25g3bx7q1q1b7FjNmzeH0WjE6tWr0a1bN3h5eeH+++/H/Pnz0alTJzzyyCMYP348atWqhfj4eBw8eBA9evTAqFGj5Og6ERGRGQtpIqqy3NxcdO3aFSqVCh4eHggJCUHv3r3x5ZdfolmzZgCAWrVqYefOnZgxYwYGDx6M0NBQrFu3Dv/3f/9X7FiPPfYYJk6ciCVLliAxMRFhYWGIjY3Ffffdh+PHj2POnDmYOHEisrKyULt2bYSFhaFNmzZydJuIiKgYlSiKotyNICIiIiKyN7z9HRERERGRBCykiYiIiIgkYCFNRERERCQBC2kiIiIiIglYSBMRERERScBCmoiIiIhIAhbSREREREQSsJAmIiIiIpKAhTQRERERkQQspImIiIiIJGAhTUREREQkwf8DqHznsN5KFtkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (357174001)>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(\n",
    "    ggplot(df4[df4[\"UK Nation\"] !=  \"Total\"].dropna()) +\n",
    "    geom_point(aes(x=\"Date\", y=\"NewConfirmed\", colour=\"UK Nation\")) +\n",
    "    facet_wrap(facets=\"UK Nation\") +\n",
    "    theme_bw() +\n",
    "    theme(axis_text_x=element_text(rotation=90))\n",
    "    \n",
    "    \n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.13 ('base')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13 | packaged by conda-forge | (main, May 27 2022, 17:00:33) \n[Clang 13.0.1 ]"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "1ebd42a5a388c096f9f490269a3e975bfaa1494d3c823c8f6407b0580eafdd24"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}