CoronaData.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CoronaData"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analyze open data of RIVM \n",
    "Johan van Voskuilen, 16-08-2020 (first)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Import Python modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import os\n",
    "from io import BytesIO\n",
    "from zipfile import ZipFile\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import urllib.request"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Import data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Import RIVM data on COVID-19 patients"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 78905 entries, 2020-03-13 10:00:00 to 2020-10-13 10:00:00\n",
      "Data columns (total 6 columns):\n",
      " #   Column              Non-Null Count  Dtype \n",
      "---  ------              --------------  ----- \n",
      " 0   Municipality_code   76325 non-null  object\n",
      " 1   Municipality_name   76325 non-null  object\n",
      " 2   Province            78905 non-null  object\n",
      " 3   Total_reported      78905 non-null  int64 \n",
      " 4   Hospital_admission  78905 non-null  int64 \n",
      " 5   Deceased            78905 non-null  int64 \n",
      "dtypes: int64(3), object(3)\n",
      "memory usage: 4.2+ MB\n"
     ]
    }
   ],
   "source": [
    "dataurl = 'https://data.rivm.nl/covid-19/COVID-19_aantallen_gemeente_cumulatief.csv'\n",
    "with urllib.request.urlopen(dataurl) as response:\n",
    "    df = pd.read_csv(response, sep=';', parse_dates=[0], index_col=0)\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Total_reported</th>\n",
       "      <th>Hospital_admission</th>\n",
       "      <th>Deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>78905.000000</td>\n",
       "      <td>78905.000000</td>\n",
       "      <td>78905.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>151.720854</td>\n",
       "      <td>28.972701</td>\n",
       "      <td>14.062163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>458.711888</td>\n",
       "      <td>53.075694</td>\n",
       "      <td>28.813269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>33.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>74.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>149.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>19163.000000</td>\n",
       "      <td>859.000000</td>\n",
       "      <td>380.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Total_reported  Hospital_admission      Deceased\n",
       "count    78905.000000        78905.000000  78905.000000\n",
       "mean       151.720854           28.972701     14.062163\n",
       "std        458.711888           53.075694     28.813269\n",
       "min          0.000000            0.000000      0.000000\n",
       "25%         33.000000            7.000000      2.000000\n",
       "50%         74.000000           16.000000      7.000000\n",
       "75%        149.000000           32.000000     15.000000\n",
       "max      19163.000000          859.000000    380.000000"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Import KNMI temperature and humidity data from De Bilt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>temperatuur gem. 24h [°C]</th>\n",
       "      <th>minimum temperatuur [°C]</th>\n",
       "      <th>maximum temperatuur [°C]</th>\n",
       "      <th>zonneschijnduur [h]</th>\n",
       "      <th>percentage van potentiële zonneschijnduur</th>\n",
       "      <th>luchtdruk gem. 24h [hPa]</th>\n",
       "      <th>bewolkingsgraad gem. 24h</th>\n",
       "      <th>relatieve vochtigheid gem. 24h [%]</th>\n",
       "      <th>maximum vochtigheid [%]</th>\n",
       "      <th>minimum vochtigheid [%]</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YYYYMMDD</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [temperatuur gem. 24h [°C], minimum temperatuur [°C], maximum temperatuur [°C], zonneschijnduur [h], percentage van potentiële zonneschijnduur, luchtdruk gem. 24h [hPa], bewolkingsgraad gem. 24h, relatieve vochtigheid gem. 24h [%], maximum vochtigheid [%], minimum vochtigheid [%]]\n",
       "Index: []"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataurl = r'https://cdn.knmi.nl/knmi/map/page/klimatologie/gegevens/daggegevens/etmgeg_260.zip'\n",
    "with urllib.request.urlopen(dataurl) as response:\n",
    "    zipfile = ZipFile(BytesIO(response.read()))\n",
    "    with zipfile.open(zipfile.namelist()[0], 'r') as g:     \n",
    "        dfKNMI = pd.read_csv(g, header=44, sep=',', index_col=0, parse_dates=True, skipinitialspace=True, skiprows=np.arange(49, 43585), usecols=['YYYYMMDD', 'TG', 'TN', 'TX', 'SQ', 'SP', 'PG', 'NG', 'UG', 'UN', 'UX'])\n",
    "dfKNMI['TG'] = dfKNMI['TG']/10\n",
    "dfKNMI['TN'] = dfKNMI['TN']/10\n",
    "dfKNMI['TX'] = dfKNMI['TX']/10\n",
    "dfKNMI['SQ'] = dfKNMI['SQ']/10\n",
    "dfKNMI['PG'] = dfKNMI['PG']/10\n",
    "dfKNMI = dfKNMI.rename(columns={ 'TG':'temperatuur gem. 24h [°C]', 'TN':'minimum temperatuur [°C]', 'TX':'maximum temperatuur [°C]', 'SQ':'zonneschijnduur [h]', 'SP':'percentage van potentiële zonneschijnduur', 'PG':'luchtdruk gem. 24h [hPa]', 'NG':'bewolkingsgraad gem. 24h', 'UG':'relatieve vochtigheid gem. 24h [%]', 'UN':'minimum vochtigheid [%]', 'UX':'maximum vochtigheid [%]'})\n",
    "dfKNMI"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Analyze data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Analyze cumulative per day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Province              GroningenGroningenGroningenGroningenFlevolandG...\n",
       "Total_reported                                                      804\n",
       "Hospital_admission                                                  115\n",
       "Deceased                                                              9\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['2020-03-13'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([2020-03-13, 2020-03-14, 2020-03-15, 2020-03-16, 2020-03-17, 2020-03-18,\n",
       "       2020-03-19, 2020-03-20, 2020-03-21, 2020-03-22,\n",
       "       ...\n",
       "       2020-10-04, 2020-10-05, 2020-10-06, 2020-10-07, 2020-10-08, 2020-10-09,\n",
       "       2020-10-10, 2020-10-11, 2020-10-12, 2020-10-13],\n",
       "      dtype='object', length=215)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CumulativePerDay = df.groupby(df.index.date).sum()\n",
    "CumulativePerDay.index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Calculate differential per day and growth rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Total_reported</th>\n",
       "      <th>Hospital_admission</th>\n",
       "      <th>Deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-03-13</th>\n",
       "      <td>804</td>\n",
       "      <td>115</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-14</th>\n",
       "      <td>959</td>\n",
       "      <td>136</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-15</th>\n",
       "      <td>1135</td>\n",
       "      <td>162</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-16</th>\n",
       "      <td>1413</td>\n",
       "      <td>205</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-17</th>\n",
       "      <td>1705</td>\n",
       "      <td>314</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-09</th>\n",
       "      <td>161781</td>\n",
       "      <td>13199</td>\n",
       "      <td>6544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-10</th>\n",
       "      <td>168280</td>\n",
       "      <td>13248</td>\n",
       "      <td>6567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-11</th>\n",
       "      <td>174653</td>\n",
       "      <td>13301</td>\n",
       "      <td>6584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-12</th>\n",
       "      <td>181498</td>\n",
       "      <td>13359</td>\n",
       "      <td>6596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-13</th>\n",
       "      <td>188876</td>\n",
       "      <td>13470</td>\n",
       "      <td>6631</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>215 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Total_reported  Hospital_admission  Deceased\n",
       "2020-03-13             804                 115         9\n",
       "2020-03-14             959                 136        12\n",
       "2020-03-15            1135                 162        19\n",
       "2020-03-16            1413                 205        23\n",
       "2020-03-17            1705                 314        40\n",
       "...                    ...                 ...       ...\n",
       "2020-10-09          161781               13199      6544\n",
       "2020-10-10          168280               13248      6567\n",
       "2020-10-11          174653               13301      6584\n",
       "2020-10-12          181498               13359      6596\n",
       "2020-10-13          188876               13470      6631\n",
       "\n",
       "[215 rows x 3 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CumulativePerDay"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Total_reported</th>\n",
       "      <th>Hospital_admission</th>\n",
       "      <th>Deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-10-04</th>\n",
       "      <td>4003</td>\n",
       "      <td>24</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-05</th>\n",
       "      <td>4579</td>\n",
       "      <td>59</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-06</th>\n",
       "      <td>4528</td>\n",
       "      <td>80</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-07</th>\n",
       "      <td>4989</td>\n",
       "      <td>63</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-08</th>\n",
       "      <td>5822</td>\n",
       "      <td>50</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-09</th>\n",
       "      <td>5971</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-10</th>\n",
       "      <td>6499</td>\n",
       "      <td>49</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-11</th>\n",
       "      <td>6373</td>\n",
       "      <td>53</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-12</th>\n",
       "      <td>6845</td>\n",
       "      <td>58</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-13</th>\n",
       "      <td>7378</td>\n",
       "      <td>111</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Total_reported  Hospital_admission  Deceased\n",
       "2020-10-04            4003                  24         5\n",
       "2020-10-05            4579                  59         7\n",
       "2020-10-06            4528                  80        21\n",
       "2020-10-07            4989                  63        36\n",
       "2020-10-08            5822                  50        13\n",
       "2020-10-09            5971                  66        13\n",
       "2020-10-10            6499                  49        23\n",
       "2020-10-11            6373                  53        17\n",
       "2020-10-12            6845                  58        12\n",
       "2020-10-13            7378                 111        35"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DifferencePerDay = CumulativePerDay.diff().fillna(CumulativePerDay).astype(int)\n",
    "DifferencePerDay.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Total_reported</th>\n",
       "      <th>Hospital_admission</th>\n",
       "      <th>Deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-10-04</th>\n",
       "      <td>36</td>\n",
       "      <td>-6</td>\n",
       "      <td>-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-05</th>\n",
       "      <td>576</td>\n",
       "      <td>35</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-06</th>\n",
       "      <td>-51</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-07</th>\n",
       "      <td>461</td>\n",
       "      <td>-17</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-08</th>\n",
       "      <td>833</td>\n",
       "      <td>-13</td>\n",
       "      <td>-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-09</th>\n",
       "      <td>149</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-10</th>\n",
       "      <td>528</td>\n",
       "      <td>-17</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-11</th>\n",
       "      <td>-126</td>\n",
       "      <td>4</td>\n",
       "      <td>-6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-12</th>\n",
       "      <td>472</td>\n",
       "      <td>5</td>\n",
       "      <td>-5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-13</th>\n",
       "      <td>533</td>\n",
       "      <td>53</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Total_reported  Hospital_admission  Deceased\n",
       "2020-10-04              36                  -6       -16\n",
       "2020-10-05             576                  35         2\n",
       "2020-10-06             -51                  21        14\n",
       "2020-10-07             461                 -17        15\n",
       "2020-10-08             833                 -13       -23\n",
       "2020-10-09             149                  16         0\n",
       "2020-10-10             528                 -17        10\n",
       "2020-10-11            -126                   4        -6\n",
       "2020-10-12             472                   5        -5\n",
       "2020-10-13             533                  53        23"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GrowthRate = DifferencePerDay.diff().fillna(DifferencePerDay).astype(int)\n",
    "GrowthRate.tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Add rolling means"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>Total_reported</th>\n",
       "      <th>Hospital_admission</th>\n",
       "      <th>Deceased</th>\n",
       "      <th>Total_reported_rollingmean3days</th>\n",
       "      <th>Hospital_admission_rollingmean3days</th>\n",
       "      <th>Deceased_rollingmean3days</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-10-09</th>\n",
       "      <td>5971</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>5594.000000</td>\n",
       "      <td>59.666667</td>\n",
       "      <td>20.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-10</th>\n",
       "      <td>6499</td>\n",
       "      <td>49</td>\n",
       "      <td>23</td>\n",
       "      <td>6097.333333</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>16.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-11</th>\n",
       "      <td>6373</td>\n",
       "      <td>53</td>\n",
       "      <td>17</td>\n",
       "      <td>6281.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>17.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-12</th>\n",
       "      <td>6845</td>\n",
       "      <td>58</td>\n",
       "      <td>12</td>\n",
       "      <td>6572.333333</td>\n",
       "      <td>53.333333</td>\n",
       "      <td>17.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-13</th>\n",
       "      <td>7378</td>\n",
       "      <td>111</td>\n",
       "      <td>35</td>\n",
       "      <td>6865.333333</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>21.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Total_reported  Hospital_admission  Deceased  \\\n",
       "2020-10-09            5971                  66        13   \n",
       "2020-10-10            6499                  49        23   \n",
       "2020-10-11            6373                  53        17   \n",
       "2020-10-12            6845                  58        12   \n",
       "2020-10-13            7378                 111        35   \n",
       "\n",
       "            Total_reported_rollingmean3days  \\\n",
       "2020-10-09                      5594.000000   \n",
       "2020-10-10                      6097.333333   \n",
       "2020-10-11                      6281.000000   \n",
       "2020-10-12                      6572.333333   \n",
       "2020-10-13                      6865.333333   \n",
       "\n",
       "            Hospital_admission_rollingmean3days  Deceased_rollingmean3days  \n",
       "2020-10-09                            59.666667                  20.666667  \n",
       "2020-10-10                            55.000000                  16.333333  \n",
       "2020-10-11                            56.000000                  17.666667  \n",
       "2020-10-12                            53.333333                  17.333333  \n",
       "2020-10-13                            74.000000                  21.333333  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DifferencePerDay['Total_reported_rollingmean3days'] = DifferencePerDay['Total_reported'].rolling(3, min_periods=1).mean()\n",
    "DifferencePerDay['Hospital_admission_rollingmean3days'] = DifferencePerDay['Hospital_admission'].rolling(3, min_periods=1).mean()\n",
    "DifferencePerDay['Deceased_rollingmean3days'] = DifferencePerDay['Deceased'].rolling(3, min_periods=1).mean()\n",
    "DifferencePerDay.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>Total_reported</th>\n",
       "      <th>Hospital_admission</th>\n",
       "      <th>Deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-10-04</th>\n",
       "      <td>250.333333</td>\n",
       "      <td>-7.666667</td>\n",
       "      <td>-2.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-05</th>\n",
       "      <td>251.333333</td>\n",
       "      <td>12.333333</td>\n",
       "      <td>-0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-06</th>\n",
       "      <td>187.000000</td>\n",
       "      <td>16.666667</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-07</th>\n",
       "      <td>328.666667</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>10.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-08</th>\n",
       "      <td>414.333333</td>\n",
       "      <td>-3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-09</th>\n",
       "      <td>481.000000</td>\n",
       "      <td>-4.666667</td>\n",
       "      <td>-2.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-10</th>\n",
       "      <td>503.333333</td>\n",
       "      <td>-4.666667</td>\n",
       "      <td>-4.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-11</th>\n",
       "      <td>183.666667</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-12</th>\n",
       "      <td>291.333333</td>\n",
       "      <td>-2.666667</td>\n",
       "      <td>-0.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-13</th>\n",
       "      <td>293.000000</td>\n",
       "      <td>20.666667</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Total_reported  Hospital_admission   Deceased\n",
       "2020-10-04      250.333333           -7.666667  -2.666667\n",
       "2020-10-05      251.333333           12.333333  -0.666667\n",
       "2020-10-06      187.000000           16.666667   0.000000\n",
       "2020-10-07      328.666667           13.000000  10.333333\n",
       "2020-10-08      414.333333           -3.000000   2.000000\n",
       "2020-10-09      481.000000           -4.666667  -2.666667\n",
       "2020-10-10      503.333333           -4.666667  -4.333333\n",
       "2020-10-11      183.666667            1.000000   1.333333\n",
       "2020-10-12      291.333333           -2.666667  -0.333333\n",
       "2020-10-13      293.000000           20.666667   4.000000"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GrowthRateRollingMean3d = GrowthRate.rolling(3, min_periods=1).mean()\n",
    "GrowthRateRollingMean3d.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "GrowthRateRollingMean1w = GrowthRate.rolling(7, min_periods=1).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Weekly rolling sum of new reported cases, hospital admissions and deceased"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>New_reported_rollingsum1week</th>\n",
       "      <th>Hospital_admission_rollingsum1week</th>\n",
       "      <th>Deceased_rollingsum1week</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-10-09</th>\n",
       "      <td>33859.0</td>\n",
       "      <td>372.0</td>\n",
       "      <td>116.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-10</th>\n",
       "      <td>36391.0</td>\n",
       "      <td>391.0</td>\n",
       "      <td>118.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-11</th>\n",
       "      <td>38761.0</td>\n",
       "      <td>420.0</td>\n",
       "      <td>130.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-12</th>\n",
       "      <td>41027.0</td>\n",
       "      <td>419.0</td>\n",
       "      <td>135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-13</th>\n",
       "      <td>43877.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>149.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            New_reported_rollingsum1week  Hospital_admission_rollingsum1week  \\\n",
       "2020-10-09                       33859.0                               372.0   \n",
       "2020-10-10                       36391.0                               391.0   \n",
       "2020-10-11                       38761.0                               420.0   \n",
       "2020-10-12                       41027.0                               419.0   \n",
       "2020-10-13                       43877.0                               450.0   \n",
       "\n",
       "            Deceased_rollingsum1week  \n",
       "2020-10-09                     116.0  \n",
       "2020-10-10                     118.0  \n",
       "2020-10-11                     130.0  \n",
       "2020-10-12                     135.0  \n",
       "2020-10-13                     149.0  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Weekly = pd.DataFrame(index=DifferencePerDay.index)\n",
    "Weekly['New_reported_rollingsum1week'] = DifferencePerDay['Total_reported'].rolling(7, min_periods=1).sum()\n",
    "Weekly['Hospital_admission_rollingsum1week'] = DifferencePerDay['Hospital_admission'].rolling(7, min_periods=1).sum()\n",
    "Weekly['Deceased_rollingsum1week'] = DifferencePerDay['Deceased'].rolling(7, min_periods=1).sum()\n",
    "Weekly.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Plot results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot of cumulative numbers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(data = CumulativePerDay)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot of last days (cumulative)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(data = CumulativePerDay[-25:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot of difference per day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(data=DifferencePerDay)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Zoom in on hospital admissions and deceased:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(data=DifferencePerDay.loc[:, ['Hospital_admission', 'Hospital_admission_rollingmean3days', 'Deceased', 'Deceased_rollingmean3days']])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot of last days (differential)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(data=DifferencePerDay[-50:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Results of last days:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "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>Total_reported</th>\n",
       "      <th>Hospital_admission</th>\n",
       "      <th>Deceased</th>\n",
       "      <th>Total_reported_rollingmean3days</th>\n",
       "      <th>Hospital_admission_rollingmean3days</th>\n",
       "      <th>Deceased_rollingmean3days</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-09-18</th>\n",
       "      <td>1974</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>1756.333333</td>\n",
       "      <td>13.666667</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-19</th>\n",
       "      <td>1887</td>\n",
       "      <td>33</td>\n",
       "      <td>2</td>\n",
       "      <td>1871.333333</td>\n",
       "      <td>19.666667</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-20</th>\n",
       "      <td>1844</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>1901.666667</td>\n",
       "      <td>21.666667</td>\n",
       "      <td>4.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-21</th>\n",
       "      <td>2217</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>1982.666667</td>\n",
       "      <td>26.333333</td>\n",
       "      <td>2.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-22</th>\n",
       "      <td>2245</td>\n",
       "      <td>32</td>\n",
       "      <td>10</td>\n",
       "      <td>2102.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>5.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-23</th>\n",
       "      <td>2357</td>\n",
       "      <td>32</td>\n",
       "      <td>5</td>\n",
       "      <td>2273.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>5.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-24</th>\n",
       "      <td>2544</td>\n",
       "      <td>25</td>\n",
       "      <td>16</td>\n",
       "      <td>2382.000000</td>\n",
       "      <td>29.666667</td>\n",
       "      <td>10.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-25</th>\n",
       "      <td>2777</td>\n",
       "      <td>36</td>\n",
       "      <td>16</td>\n",
       "      <td>2559.333333</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>12.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-26</th>\n",
       "      <td>2713</td>\n",
       "      <td>29</td>\n",
       "      <td>38</td>\n",
       "      <td>2678.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>23.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-27</th>\n",
       "      <td>2995</td>\n",
       "      <td>37</td>\n",
       "      <td>8</td>\n",
       "      <td>2828.333333</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>20.666667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Total_reported  Hospital_admission  Deceased  \\\n",
       "2020-09-18            1974                  12         7   \n",
       "2020-09-19            1887                  33         2   \n",
       "2020-09-20            1844                  20         4   \n",
       "2020-09-21            2217                  26         2   \n",
       "2020-09-22            2245                  32        10   \n",
       "2020-09-23            2357                  32         5   \n",
       "2020-09-24            2544                  25        16   \n",
       "2020-09-25            2777                  36        16   \n",
       "2020-09-26            2713                  29        38   \n",
       "2020-09-27            2995                  37         8   \n",
       "\n",
       "            Total_reported_rollingmean3days  \\\n",
       "2020-09-18                      1756.333333   \n",
       "2020-09-19                      1871.333333   \n",
       "2020-09-20                      1901.666667   \n",
       "2020-09-21                      1982.666667   \n",
       "2020-09-22                      2102.000000   \n",
       "2020-09-23                      2273.000000   \n",
       "2020-09-24                      2382.000000   \n",
       "2020-09-25                      2559.333333   \n",
       "2020-09-26                      2678.000000   \n",
       "2020-09-27                      2828.333333   \n",
       "\n",
       "            Hospital_admission_rollingmean3days  Deceased_rollingmean3days  \n",
       "2020-09-18                            13.666667                   5.000000  \n",
       "2020-09-19                            19.666667                   5.000000  \n",
       "2020-09-20                            21.666667                   4.333333  \n",
       "2020-09-21                            26.333333                   2.666667  \n",
       "2020-09-22                            26.000000                   5.333333  \n",
       "2020-09-23                            30.000000                   5.666667  \n",
       "2020-09-24                            29.666667                  10.333333  \n",
       "2020-09-25                            31.000000                  12.333333  \n",
       "2020-09-26                            30.000000                  23.333333  \n",
       "2020-09-27                            34.000000                  20.666667  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DifferencePerDay.tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Weekly result of new reported cases:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NDSUkJOSS612cnJx49tln6du3L4MHDyYjI6PO5zd37lwWLFjAoEGDePLJJ4mOjmbw4MGEhYUxbdo0Ll68WO/rExAQQHZ2NomJifTq1Yv777+fPn36MHbs2OpJGA8ePEhYWBjh4eEsWbKk3ud9eU2w5mqTo0aNYvHixURGRtKrVy8OHjxYPfPvc889V73PyJEjq2dUrpKZmUn//oZ5So8ePYoQovoz1rVrV0pKSsjKyuLWW29lwIABDBgwgD179gBQXFzMPffcw8CBA+nXrx8bNvx1irmff/6ZIUOGXNWFzhQo1+o4l11Mjw4qebRpVQsnVd1qztH0yCOPcPfdd3Ps2DFmzZrFo48+CsDLL7/M5s2bOXr0KBs3bqzevrZ1OGp6/fXXGTFiBNHR0SxevBgfHx+2bt3K4cOHWb16dfXxr6Su/X744QfOnDnDyZMn+eqrr/6SjDp37kx0dDQjRoyobvLZt29f9WJTNdW2hsavv/6Kn58fR48e5cSJE4wff8mClaSmpvLUU0/x+++/Ex0dzcGDB6tn7y0uLmbw4MEcPXqUkSNH8vnnn9f7HNXaIWrtEEuVkFWMTi/NrubRti8SnPdz/Y9PuMIcjP1mGW6NULVwUpWquaXAsLjT998bVuydPXs2Tz75JGBYDGru3Lncfvvt3HLLLdX71rYOR33Tb1dWVrJw4cLqf2BXWk/jSvvt3LmTmTNnotFo8PPzY/ToSxeMrLnGRVFREc7Ozjg7O2NnZ/eXPoLa1tAIDQ3liSee4KmnnmLy5Ml/mdX34MGDl6wRMmvWLHbu3MnNN9+Mra0tkydPBgxreGzdurXe56jWDlFrh1iq2AzjSCtV81Au98knn/DKK6+QlJRE//79q79dNnYdjnfeeYf27dtz9OhRoqKiqKioaND5m7pfY9a4uPPOO9m4cSMODg5MnDiR33//ne7du3P48GFCQ0N57rnnePnllxt0XjBME1/1emg0miv2ZbTW2iFXOm9tz9va2vqqrR1y9OhRdu/eXZ08qtYOiY6OJjo6mpSUFJycnKrXDqkqv3DhQvVkh127dqWwsLDBX0aUlnUmvRAbjTCrq8tBJY+raujQodXrSqxcubL6D/rs2bMMGjSIl19+GW9vb5KSkoDa1+GoydnZmcLCwurf8/Pz8fX1xcrKiq+//hqdTteguOrab+TIkaxevRqdTkdaWhp//PFHk597bWtopKam0q5dO+666y6WLFnC4cOHL9ln4MCB7Nixg+zsbHQ6Hd9++22z1/lQa4eotUMsTWxGIUFeTtham9e/a/OKpo17//33WbZsGWFhYXz99dfV04MvWbKkulN46NCh9O3bF6h9HY6awsLC0Gg09O3bl3feeYeHHnqIFStW0LdvX06fPt3gb9t17Tdt2jSCg4Pp3bs3c+bMqW6WaYra1tA4fvx4dWfySy+9dEmHMICvry+vv/46119/PX379qV///5MnTq1yTFUUWuHqLVDLMmZjEK6m1mTFaj1PMzWtbwOhyW6ltcOaUt/d+amuFxLnxc288SY7jxyw5X7yxpCreehKGZErR2itIa4zCIAs6x5qORhplpjHY7mrg1i7tTaIUpbY45zWlVRyeMaYulrg1yJWjtEaWvOZBRib2NFJw/zmYq9yhU7zIUQS4UQmUKIEzXKXhRCpAghoo23iTUee0YIES+EOCOEGFejfLyxLF4I8XSN8kAhxH5j+WohhG1LPkFFURRLFZtRSLCPMxqr+ofpm0JDRlstB8bXUv6OlDLceNsEIIToDdwB9DHu85EQQiOE0AAfAhOA3sBM47YAbxiP1Q24CNzbnCekKIrSVpxJN785rapcMXlIKXcCuQ083lRglZSyXEp5DogHBhpv8VLKBCllBbAKmCoMV3mNBqpmz1sB3Ny4p6AoitL2XCyuILOwnB4dzGca9pqac53HQiHEMWOzlruxrCOQVGObZGNZXeWeQJ6UUntZea2EEPOFEFFCiKisrKxmhK4oimLeqqYlsdiaRx0+BroC4UAa8HZLBVQfKeVnUspIKWVk1XxH5kaj0RAeHk6fPn3o27cvb7/99iVTUZirF198sXpeo+aoOSNu1Wy08L81SMzJ+PHjcXNzq54jq7W01GurXFvMdU6rKk0abSWlrJ7/WgjxOVA1v0IK0KnGpv7GMuoozwHchBDWxtpHze0tUs2JETMzM7nzzjspKCho1Myt5k6r1WJt3biPTkOnh7+alixZQklJCZ9++qmpQ1GUvziTUYizvTUdXOxNHUqtmlTzEEL41vh1GlA1EmsjcIcQwk4IEQgEAweAg0CwcWSVLYZO9Y3ScHn7H0DVcnN3A39dSKCJ5v06j/Xx61v0fmP4+Pjw2Wef8cEHHyClRKfTsWTJEgYMGEBYWNgl/7TeeOMNQkND6du3L08/bRiMdvbsWcaPH0///v0ZMWIEp0+fBuDHH39k0KBB9OvXjxtvvLF6LYsdO3ZUTwXfr1+/6nmv3nzzzepz1pwu/dVXX6V79+4MHz6cM2fO1PtcRo0axaJFi4iMjOQ///kP27Zto1+/foSGhnLPPfdQXl5e7/5VV19v376dUaNGcdttt9GzZ09mzZpVPZ/Spk2b6NmzJ/379+fRRx+trhHU9ry2b99+SY1h4cKF1RfmNWStEYAbbrgBZ+dLv9VVrZ8BsGHDBhwcHKioqKCsrIygoKB635e61sqo6fPPP2fChAnV64AoSl1i04vo0d75ihOimsoVvz4KIb4FRgFeQohk4AVglBAiHJBAIvAAgJQyRgixBjgJaIGHpZQ643EWApsBDbBUSlk1w9pTwCohxCvAEeDLlnpy5iAoKAidTkdmZiYbNmzA1dWVgwcPUl5ezrBhwxg7diynT59mw4YN7N+/n3bt2pGbaxifMH/+fD755BOCg4PZv38/Dz30EL///jvDhw9n3759CCH44osv+Ne//sXbb7/NW2+9xYcffsiwYcMoKirC3t6eLVu2EBcXx4EDB5BSMmXKFHbu3ImjoyOrVq0iOjoarVZLRERE9UJCdamoqCAqKoqysjKCg4PZtm0b3bt3Z86cOXz88ccsWrSoQa/JkSNHiImJwc/Pj2HDhrFnzx4iIyN54IEH2LlzJ4GBgcycObN6+9qe15VUrTWyePFi5s6dy549eygrKyMkJIQFCxbUuV+/fv2qa467du0iJCSEgwcPotVqGTRoEFD3+1K1Vsbw4cO5cOEC48aN49SpU9XH/uCDD9i6dSvr16+/ZLZcRbmclJIzGYVMCvO98sYmcsXkIaWcWUtxnf/gpZSvAq/WUr4J2FRLeQKG0Vgtbtn4ZS1+vzm2bNnCsWPHqpdmzc/PJy4ujt9++4158+bRrp3hQiAPDw+KiorYu3fvJWtNVH27T05OZsaMGaSlpVFRUUFgYCBgWBfk8ccfZ9asWdxyyy34+/uzZcsWtmzZQr9+/QDDHExxcXEUFhYybdq06nNWrSFRn6orqM+cOUNgYCDdu3cHDGtifPjhhw1OHgMHDqxeFCk8PJzExEScnJwICgqqfi4zZ87ks88+q/N5XcmV1hqpa1lZa2trunbtyqlTpzhw4ACPP/44O3fuRKfTMWLEiHrfl7rWygD46quv6NSpE+vXr8fGxqZBr5Ny7coqLCe/tNIsryyvoq4wb2UJCQloNBp8fHyQUvL+++//5SrvzZs3/2U/vV6Pm5vbJQtLVXnkkUd4/PHHmTJlCtu3b69ewvTpp59m0qRJbNq0iWHDhrF582aklDzzzDM88MADlxzj3XffbfRzMdWaGLU9r9ZeE+OXX37BxsaGG2+8kblz56LT6XjzzTfrfV+q1sqorWYUGhpKdHQ0ycnJ1QlSUepyxsxHWoGakr1VZWVlsWDBAhYuXIgQgnHjxvHxxx9TWVkJQGxsLMXFxYwZM4Zly5ZRUlICQG5uLi4uLgQGBlbP1SSl5OjRo4ChxtKxo2FE84oVK6rPd/bsWUJDQ3nqqacYMGAAp0+fZty4cSxdurT6G3BKSgqZmZmMHDmS9evXU1paSmFhIT/++GODn1ePHj1ITEwkPj4eaJk1MXr06EFCQgKJiYkA1euZ1/W8unTpwsmTJykvLycvL49t27Y16/w1jRgxgnfffZchQ4bg7e1NTk4OZ86cISQkpN73pa61MsDQHPbpp58yZcoUUlNTWyxWpW06k16VPMzzGg9QNY8WV7WGeWVlJdbW1syePZvHH38cgPvuu4/ExEQiIiKQUuLt7c369esZP3480dHRREZGYmtry8SJE/nnP//JypUrefDBB3nllVeorKzkjjvuoG/fvrz44otMnz4dd3d3Ro8ezblz5wBDbeKPP/7AysqKPn36MGHCBOzs7Dh16lT1WhxOTk7897//JSIighkzZtC3b198fHwYMGBAg5+jvb09y5YtY/r06Wi1WgYMGFBvP0JDODg48NFHHzF+/HgcHR0viaeu53X77bcTEhJCYGBgdbNcY1R1dhcVFVWviTFu3DgGDRpERkZG9ZoYYWFhpKenV3dc1vW+vPfeezz88MOEhYWh1WoZOXLkJR30w4cP56233mLSpEls3bpVrQWu1Ck2oxAvJzs8ncy3b0yt56GYjao1MaSUPPzwwwQHB7N48WJTh6Vcgfq7a3lTP9yDk52GlfcNbvFjt9R6HqrZSjEbn3/+efUFlvn5+X/pp1GUa4FeL4nLMN85raqoZivlEg8//PBfrk947LHHmDdvXqufe/HixaqmoVzzUvJKKanQmfVIK2iDyUNKabYX1ViCDz/80NQhKBbEUpu9zVlVZ3mwmSePNtVsZW9vT05OjvpAK8pVIKUkJyenQRdtKg33v2G65jvSCtpYzcPf35/k5GTUjLuKcnXY29s36KJNpeFiMwrp6OaAs715X0zappKHjY2NugBLURSLZlgAyrxrHdDGmq0URVEsmVanJyGr2OxHWoFKHoqiKGbjQm4JFTq92XeWg0oeiqIoZuNsVjEAXb1bZh651qSSh6IoiplIyDLMQRfkrfo8FEVRlAY6m1WEl5Mdrg7mPdIKVPJQFEUxG2ezii2iyQpU8lAURTELUkriM4vo6mP+TVagkoeiKIpZyC2uIL+0kq4W0N8BDUgeQoilQohMIcSJGmVvCiFOCyGOCSF+EEK4GcsDhBClQoho4+2TGvv0F0IcF0LECyHeE8YJqIQQHkKIrUKIOONP91Z4noqiKGbNkkZaQcNqHsuB8ZeVbQVCpJRhQCzwTI3Hzkopw423misEfQzcDwQbb1XHfBrYJqUMBrYZf1cURbmmnDWOtGozNQ8p5U4g97KyLVLKqoWg9wH1Tm4jhPAFXKSU+6Rh1sKvgJuND08FqtZSXVGjXFEU5ZqRkFWEnbUVfm4Opg6lQVqiz+Me4JcavwcKIY4IIXYIIUYYyzoCyTW2STaWAbSXUqYZ76cD7es6kRBivhAiSggRpSY/VBSlLTmbVUyglyMaK8tYUqJZyUMI8SygBVYai9KAzlLKfsDjwDdCCJeGHs9YK6lzPnUp5WdSykgpZaS3t3czIlcURTEvZ7MsZ6QVNCN5CCHmApOBWcZ/+kgpy6WUOcb7h4CzQHcghUubtvyNZQAZxmatquatzKbGpCiKYonKKnUk5ZZYTH8HNDF5CCHGA08CU6SUJTXKvYUQGuP9IAwd4wnGZqkCIcRg4yirOcAG424bgbuN9++uUa4oinJNOJ9Tgl5azkgraMB6HkKIb4FRgJcQIhl4AcPoKjtgq3HE7T7jyKqRwMtCiEpADyyQUlZ1tj+EYeSWA4Y+kqp+kteBNUKIe4HzwO0t8swURVEshKWNtIIGJA8p5cxair+sY9t1wLo6HosCQmopzwFuuFIciqIobdXZTEPyCPSynJqHusJcURTFxM5mFeHnao+jneUs7qqSh6IoioklZBdb1EgrUMlDURTFpKSUnM0ssqj+DlDJQ1EUxaTS8ssortBZ1EgrUMlDURTFpGJSCwDo7dfg66nNgkoeiqIoJnQ8JR8rAb18VfJQFEVRGigmJZ+u3k60s7WckVagkoeiKIpJnUjNJ6Sjq6nDaDSVPBRFUUwks7CMjIJy+lhYfweo5KEoimIyMSmGzvJQVfNQFEVRGupESj5geSOtQCUPRVEUkzmekk+QlyPO9jamDqXRVPJQFEUxkZjUAvpYYJMVqOShKIpiErnFFaTklRJigU1WoJKHoiiKSVT1d1hiZzmo5KEoimISJ1INyaOPn0oeiqIoSgPFpBTQycMB13aW11kOKnkoiqKYxPGUfIttsgKVPBRFUa66/JJKLuSWWGyTFTQweQghlgohMoUQJ2qUeQghtgoh4ow/3Y3lQgjxnhAiXghxTAgRUWOfu43bxwkh7q5R3l8Icdy4z3tCCNGST1JRFMWcxKRZdmc5NLzmsRwYf1nZ08A2KWUwsM34O8AEINh4mw98DIZkA7wADAIGAi9UJRzjNvfX2O/ycymKorQZVdOSWOKcVlUalDyklDuB3MuKpwIrjPdXADfXKP9KGuwD3IQQvsA4YKuUMldKeRHYCow3PuYipdwnpZTAVzWOpSiK0uYcT8nHz9UeTyc7U4fSZM3p82gvpUwz3k8H2hvvdwSSamyXbCyrrzy5lvK/EELMF0JECSGisrKymhG6oiiK6VjqNOw1tUiHubHGIFviWFc4z2dSykgpZaS3t3drn05RFKXFFZVrOZddfE0njwxjkxPGn5nG8hSgU43t/I1l9ZX711KuKIrS5pxMLUBKCOlouf0d0LzksRGoGjF1N7ChRvkc46irwUC+sXlrMzBWCOFu7CgfC2w2PlYghBhsHGU1p8axFEVR2pSqaUksvebRoEVzhRDfAqMALyFEMoZRU68Da4QQ9wLngduNm28CJgLxQAkwD0BKmSuE+D/goHG7l6WUVZ3wD2EY0eUA/GK8KYqitDknUvPxcbbDx9ne1KE0S4OSh5RyZh0P3VDLthJ4uI7jLAWW1lIeBYQ0JBZFURRLFpdRRI8OzqYOo9nUFeaKoihXiZSShKwiuno7mTqUZlPJQ1EU5SrJKiynuEJHkLejqUNpNpU8FEVRrpKE7GIAAr1U8lAURVEa6JxKHoqiKEpjJWQVYWdthZ+rg6lDaTaVPBRFUa6Sc9nFBHo5YmVl+ROHq+ShKIpylSQYk0dboJKHoijKVaDV6bmQU6KSh6IoitJwSRdL0eqlSh6KoihKwx25cBGgTVxdDip5KIqiXBU/HUujo5uDRS89W5NKHoqiKK0sv6SSXXFZTArzxTB5uOVTyUNRFKWVbY5Jp1InmRTqa+pQWoxKHoqiKK3sx2OpdPZoR5h/22iyApU8FEVRWlVOUTl7z+a0qSYrUMlDURSlVf0ak45OL5kc1naarEAlD0VRlFb109E0grwc6e1r2WuWX04lDwug08tLfv/1RBrvbYvDsGijoijmKrOwjP3ncpjcxpqsoIHL0Cqmk5Zfyo1v7yDAy5EBAR7EZxaxOz4bgAAvR6b09TNxhIqi1OW3k5noJUxsY01W0IyahxCihxAiusatQAixSAjxohAipUb5xBr7PCOEiBdCnBFCjKtRPt5YFi+EeLq5T6ot+eloGsUVOgC+i0oi6WIJT47vQWhHV/758ymKy7UmjlBRlLrsisvC19WeHu3bxlXlNTW55iGlPAOEAwghNEAK8AMwD3hHSvlWze2FEL2BO4A+gB/wmxCiu/HhD4ExQDJwUAixUUp5sqmxtSU/HU8jpKMLPz0y4pLyQYGe3PrxXl7cGMO/bgtrc1ViRbF0Wp2e3fHZTAxpe01W0HJ9HjcAZ6WU5+vZZiqwSkpZLqU8B8QDA423eCllgpSyAlhl3Paal5RbwtGkPCaF/rVpqn8Xdx4d3Y3vDiXzxq9nVP+HopiZo8l5FJZpGdnd29ShtIqWSh53AN/W+H2hEOKYEGKpEMLdWNYRSKqxTbKxrK7yvxBCzBdCRAkhorKysloodPP18/E0gDqH+C0e0507B3Xmkx1nuf+rQ1wsrria4SmKUo+dsdlYCRjWzdPUobSKZicPIYQtMAX4zlj0MdAVQ5NWGvB2c89RRUr5mZQyUkoZ6e1tWdlcSkl0Uh75pZUN2l6vl6w+mES/zm508mhX6zZCCF6ZGsJzk3qxIzaTucsPUq7VtWTYiqI0QaVOz+aYdML83XBrZ2vqcFpFS9Q8JgCHpZQZAFLKDCmlTkqpBz7H0CwFhj6RTjX28zeW1VXeZhxPzmfKB3u4+cM9zPj0T/JKrlxD2HY6k3PZxdwzLLDe7aysBPeNCOL9mREcTcrjxY0xqglLUUxISskLG2M4nV7I3KEBpg6n1bRE8phJjSYrIUTNNpZpwAnj/Y3AHUIIOyFEIBAMHAAOAsFCiEBjLeYO47ZtQvLFEuYtP0B2UTmPju5GQlYxc5cdpEKrr3e/z3cl0NHNgQkhHRp0nvEhHXhoVFe+PZDEY6uiKalQo7AUxRQ2x6Tzzf4LPDSqKzf3q7UFvk1o1nUeQghHDKOkHqhR/C8hRDgggcSqx6SUMUKINcBJQAs8LKXUGY+zENgMaIClUsqY5sRlDnKLK1i57zzrDidTXqln1fzBdPNxplt7Zx799gjfHrjA7MFd2HQijc93JmBvo+HBUV0ZGezN6qgkDpzL5blJvbDWNDy//21sDxztrHl7yxnySitZMW9AmxzloSjm7I/TWbi1s+FvY3uYOpRWJSy1iSMyMlJGRUWZOow63f9VFFtPZtCzgzPPT+7N0G5egKFKO/PzfcRlFDEw0INfTqTT1duR0godqflltHexI6OgnOu6e/Pp7P7Y22gafe6v/kzk+Q0xvHlbGNMjO115B0VRWsz1b22nq7cTX9wdaepQaiWEOCSlbHZw6grzVpCSV8q2Uxk8NKorT47vecljQgiemdCLqR/u4deYdJ6Z0JP7RwSh1Us2HU9jQ3QK1/ew5+WpIdhaN61V8a5BXfjpaBr/99NJBgZ60MWzbayZrCjmLrOwjHPZxdw5sLOpQ2l1Knm0glUHLiCBmXV8gPp2cuOf00LxdbXn+p4+ANhaCW7u17FF2kitrARv3BbGLR/tYeZn+/ji7gH08nVWTViK0soOnjOsUz4g0MPEkbQ+NTFiC6vU6Vl1MIlR3b3rHGILcOegztWJozUEejmy8r7BlFTqmPjeLvq/8hv7E3Ja7XyKosCBczm0s9XQx69tzaBbG5U8WtiRC3lkFZabRV9Dbz8XNj06gtduCcXNwYaHVh4mNa/U1GEpSpt1IPEiEZ3dsWnEQBdL1faf4VW2J954VWlXL1OHAoCfmwMzB3bmszmRlGv1LFl71NQhKUqblFtcwam0AgZdA01WoJJHi9t7NpuQjq64trMxdSiX6ObjxAMjg9gTn0N6fpmpw1GUNufPs4Zm4WHB5vHFsbWp5NGCisu1HLmQx1AzqXVcbkKo4YLDzTHpJo5EUdqe3fHZONtZE9bR1dShXBUqebSgA4m5aPXSbCdC6+bjTDcfJ345kWbqUBSlzdl7NptBQZ6NurDXkl0bz/Iq+fNsDrYaKyK7mG+b54SQDhw4l0tOUbmpQ1GUNiMpt4TzOSVm+8WxNajk0YLOpBfSvYMTDraNvyr8ahkf0gG9hN9OZZg6FEVpM7afyQRgeDfzbLJuDSp5tKDUvFI6ujmYOox69fZ1oYOLPdvPtP31UBTlasgvreQ/2+IJ83elm4+TqcO5alTyaCFSSlLzSvEz8+QhhOC67t7sjsumUlf/zL6KolzZv349TW5xOf+cFnpNzeKgkkcLKSjVUlyhM/uaB8D1Pb0pLNdy+PxFU4eiKBYtPb+Mbw5cYM6QAEKukVFWVVTyaCEpxiu3LSF5DOvmhbWV4A/VdKUozfLz8TSkhNlDupg6lKtOJY8WUpU8zL3ZCsDZ3ob+XdyrO/kURWman46l0tvXha7e105fRxWVPFpIqgUlD4AxvdtzOr2QhKwiU4eiKBYpKbeEIxfymNzX98obt0EqebSQ1LxSbK2t8HS0jMXuJ4UZPvCbjqsLBhWlKar+dm4K8zNxJKahkkcLSckrxc/VHisryxht4evqQGQXd346ppKHojTF76cz6eXrUu/SC21Zs5OHECJRCHFcCBEthIgylnkIIbYKIeKMP92N5UII8Z4QIl4IcUwIEVHjOHcbt48TQtzd3LiuNksYpnu5yWG+nE4vJD6z0NShKIpFKSrXcvjCRUZ2v3YuCrxcS9U8rpdShtdYF/dpYJuUMhjYZvwdYAIQbLzNBz4GQ7IBXgAGAQOBF6oSjqVIzSuziJFWNU0M9cVKwPojqaYORVEsyr6zOVTqJNcFe5s6FJNprWarqcAK4/0VwM01yr+SBvsANyGELzAO2CqlzJVSXgS2AuNbKbYWV6nTk1FYZnE1Dx8Xe0b18GFNVBJadcGgojTYzrgsHGw09A+wqO+4LaolkocEtgghDgkh5hvL2kspqxrT04H2xvsdgaQa+yYby+oqN3v/3hrLmH/vQErLuMbjcncM6ERmYTm/n1bDdhWloXbGZjGkqyd21uY7j11ra4nkMVxKGYGhSephIcTImg9KKSWGBNNsQoj5QogoIURUVpbpL3CTUrL64AUqdZKBgR4MDrK8GTVH9/TBx9mOVQeTrryxoihEJ+WRmFPCqB7XbpMVtEDykFKmGH9mAj9g6LPIMDZHYfxZ9bU2Bai5uLe/sayu8svP9ZmUMlJKGentbfo3LjW/jIyCch64Log1Dwyhs6fljbqw1lhxS4Q/289kUlhWaepwFMXsvb3lDB6Ottwa4W/qUEyqWclDCOEohHCuug+MBU4AG4GqEVN3AxuM9zcCc4yjrgYD+cbmrc3AWCGEu7GjfKyxzKxFJeYCENHZsts9RwR7oZcQpea6UpR67U/IYVdcNguuC8LRztrU4ZhUc599e+AH40yS1sA3UspfhRAHgTVCiHuB88Dtxu03AROBeKAEmAcgpcwVQvwfcNC43ctSytxmxtbqDp+/SDtbDT07OJs6lGaJ6OyOjUawLyGH63v4mDocRTFbX+4+h5eTLbMHB5g6FJNrVvKQUiYAfWspzwFuqKVcAg/XcaylwNLmxHO1HbpwkfBObha/7KSDrYbwTm7sSzD7fK1co/bEZ/PVn4nMGRLA0K6eJpn6vLCsku2xWdw5sLNZL/h2tVj2fz0TKi7XciqtkP5dLLvJqsqgQE9OpORTVK41dSiKcon4zCIWfH2ILSczmPXFfp5adwy9vkXG4DTKtlOZVGj1TA67NueyupxKHk105EIeOr0koo0kj8FBnuj0srofR1HMQWJ2MfeuOIittRXbHr+OBdd1ZU1UMi//dBJDQ8bV8/PxNDq42Ft8H2dLubZ7fJphd3w21laCAQEepg6lRfTv4o6ttRW/ncpglOr3UEyosKySe1dEoRGCU+kFACydO4AgbyeeGt+DCq2epXvOcWOv9gwPvjrTg2QXlbPD2GRlKfPXtTZV82iiXXFZRHRxx6mNjLhwsNVwU5gf3x9OoUAN2VVM6N9bYzmYmEtJhZbuPs6sf2hY9bd9IQRPju+Bj7MdH/4Rf1XiKS7Xcu+KKARwx8BOV9z+WqGSRxPkFJUTk1rAiG5ta1K0uUMDKKnQsUZdMKiYSExqPiv2JjJrUGc2LBzOmgVDCPByvGQbexsN80cG8WdCDoeuwvDyp9Yd43hyHu/P7EfPDi6tfj5LoZJHE+w5mwNw1arMV0uovyuRXdz56s/zJumQVJQ3fj2DWztbloztWe92Mwd2xr2dDY+vieZESn6rxbMnPpufjqXx2A3dGdunQ6udxxKp5NEEu2KzcLG3JszfzdShtLjZQ7pwIbeEfQk5pg5FucacSMlnZ2wW9w4PxLWdTb3bOtpZ8/mcSMor9dz84R7uXX6QnbEtO2VRuVbHSz/G0MnDgQeuC2rRY7cFKnk0kpSS3fHZDOvmhaYpHWcJO2DtvVBgntOgj+vTAWc7a9YeSjZ1KMo15uMdZ3G2s2b2kC4N2j4ywINNj43gnuGBxKQWMGfpAV7cGEOFtvkzRB9Pzmfye7uJzSji+cl9sLdR13VcTiWPRjqbVUxaflnTmqySD8HK6XBiLRSY5wp+9jYaJvf15ZcT6eqaD+Wqic8s5Jfjadw1pAsu9vXXOmrycLTl7xN7sX3JKOYNC2D53kQWr4lGZ2x2LdfqyC9t3ACQ2IxC7vx8H0XlWpbNG8CY3u2vvNM1qG0MFbqKdsUZqsYjG7sITEUJfHsHuPjC7PXgEdjywbWQWyP8+fZAEpuOp3F7pBpdorS+NzefoZ2tNfcNb9rfhb2Nhhdu6oOfqwOvbjpFaYWOMb3b88Hv8WQUlDFjQCc8newoKtPi7+5AJ492dPJwwNfVgUPnczmeXMDwYC8Kyir5x/oTONhqWPfgUItbo+dqUsmjkXbHZdPFs13j1y0++g0UZ8LtvxgSR0ku/LQIwu6AnhNbJdam6t/FnSAvR749cEElD6XVHTp/kc0xGTwxpjueTnbNOtb9I4OQSN7/PZ7fT2cS5O3ILREdWXUwCSkldtYaSit1te77zm+xALi3s2HFPQNV4rgClTwaoUKrZ19CDjf3a+Q6VVLCgc/BLwI6DzGU2blA2jHITYAeE8AEc/XURQjBXYO78PJPJzmRkk9IR1dTh6S0UVqdnpd/jMHLyY57R7RMbXz+yK7MGRJATGo+ffxcsbfR8Nzk3thZW2GrsSK3uIKki6Uk5ZaQkldKkJcj/bu4szs+Gyc7a4YHe13Tizw1lEoejRB1PpfiCh0jGttkJQTctQ5Kcv6XJDTWcN1TsH4BnFgHobe1fMDNcGt/f97cfIav/kzkX7f9Ze5LRWkRX+w+x9HkfN6f2Y92ti3378jeRkP/Lv+b/aFmP4qnkx2eTnaEd3K7ZJ+p4RaxeKnZUB3mjfDpjgTc2tk0rrN87/uGznFXf/C97J9w2O3QIRR+ewkqy1o22GZydbBhWkRHNkSnklFgXrEpli81r5TXNp3i31tjGdenvZps0AKp5NFAB87lsiM2iwev69rwKUlyzsKW5yCqjpnmrTQw9lXIvwD7P2m5YFvIAyODEAKe/eH4VZ+ETmm7cosruPXjvXyx+xyje/jw6rRQk0yxrjSPSh4N9M7WWLyd7ZgzJKDhO535xfCz3111bxN0HYTcCrqKZsXXGrp4OvK3sT347VQmG4+a53UpimXR6SWPrTpCTnEFPzw0lE9m98ermZ3kimmo5NEASbkl/JmQw9yhAY1bBObML+DTB9yvcNHTbUvhuiebF2QrmTcskNCOrrz7W5yaskRptjVRSeyKy+bFm/q0yRkariUqedTjdHoBeSUV1d+6p4b7NXznkly48KdhJFVDlF6E9ONNiLJ1aawE948M4lx2MdtjM00djmLBSit0vLM1lv5d3JmpZqe1eGq0VR3ySyqZ8sEegrwc0eolkV3c8XdvxLUd8b+B1DU8eayeDcXZ8PC+pgXciiaEdKCDiz3L9iQyuqe62lZpmmV7z5FZWM4Hd0aoPo42oMk1DyFEJyHEH0KIk0KIGCHEY8byF4UQKUKIaONtYo19nhFCxAshzgghxtUoH28sixdCPN28p9Qyfo1Jo0Kr53R6IfGZRUxpTK0DIHgs3PCC4dqOhug5CbJOwbmdjQ+2ldlorJg9pAu74rI5dP4i5Vodv55Io1xb+8VWinK5U2kFvLctjht7tWdgYNtYQO1aJ5o6ikYI4Qv4SikPCyGcgUPAzcDtQJGU8q3Ltu8NfAsMBPyA34DuxodjgTFAMnAQmCmlPFnf+SMjI2VUVFSTYm+IWV/sI+ViKbMGdWHpnnP8+MjwhnfsSdn4i/5KcuHLsYYJE2d/D50HNz7oVlRYVsn4d3dhoxF0b+/MlpMZTAjpwAd3RjRtgkjlmlFQVslN7++mrFLHT4+MwNtZdZCbkhDikJQysrnHaXLNQ0qZJqU8bLxfCJwC6rvKZiqwSkpZLqU8B8RjSCQDgXgpZYKUsgJYZdzWZDILyth7Nocpff24f2QQe54a3fDEodfDV1Ph0IrGnbSdB8z9CZx8YMNCQwIyI872Nrw1vS/nc0vYcjKDG3r68MuJdB759jCnjUuFKkpt3vstjqTcEj68M0IljjakRTrMhRABQD9gv7FooRDimBBiqRCiarX4jkDNJeqSjWV1ldd2nvlCiCghRFRWVsvO3V/TT8fSkJLqpqpGrVl8YS+c22G4hqOxnDvA8MVwMdEwbYmZGdLVk1dvDuX1W0L5cu4A/ja2O9tOZTL+3V0s33PO1OEpZig1r5Sv9p3nlgh/IgNUc1Vb0uzkIYRwAtYBi6SUBcDHQFcgHEgD3m7uOapIKT+TUkZKKSO9vRs5RUgjbDyaSm9fF7r5ODd+56Pfgq0T9LmlaScPvQ3+FgueXZu2fyu7c1Bn7hjYGYCFo4PZ98wNjOndnpd+Osmm4+Y5zbxiOu/+FgsSFt0YbOpQlBbWrOQhhLDBkDhWSim/B5BSZkgpdVJKPfA5hmYpgBSg5vg8f2NZXeUmcSGnhOikvMZ3kINh2vWYDdD7ZrBt5Ky7VWwdDU1YOi3ozb9D2t3Rlvdn9iOiszuLVkezX61AqBhtiE5hTVQyc4cFNG6komIRmjPaSgBfAqeklP+uUV5zkpppwAnj/Y3AHUIIOyFEIBAMHMDQQR4shAgUQtgCdxi3NYkfjxmu6bipbxOSx+mfoaIQwmc2L4iMGPh3T4jd3LzjXCX2Nhq+mBOJv7sD938VxaHzuaYOSTGxQ+cvsmTtMQYGevC3sT1MHY7SCppT8xgGzAZGXzYs919CiONCiGPA9cBiACllDLAGOAn8CjxsrKFogYXAZgyd7muM2151Uko2RKcwIMCdjk2Zyz/7DLh1gc5DmxeIV3ewaQc7/2V2Hed1cXe0ZcW8gbg42HDbJ3/y5Nqj/HE6k0pd85cEVSxLfGYh9644iK+rPZ/c1R9ba3UtclvU5KG6ptYaQ3WPJecx5YM9vHJzCHcNbtg6yn9RehEc3K+83ZUc/ho2LoSZq6HH+OYf7yopKtfy5q+nWXUwiXKtnkGBHnw2OxLXdg1fWlSxXOVaHTe8vYNyrZ51C4bS2VM1V5kbkw/VbYu+2X8BBxtN46YhAcPw3ITthlpCSyQOgL53gHsAbP2H4RoQC+FkZ81LU0M4+sJY3rg1lCMX8rj+7e1Mem+XmlzxGrDuUArJF0t5e3pflTjaOJU8jArLKtl4NJUpff1wtm/kt+R9Hxmu7Yjb2nIBaWxgyvuGYbtr57Xcca8SexsNMwZ0ZuX9gxgR7EWlTs/f1hzlREq+qUNTWolWp+fTnWcJ83dlRGPWvFEskprbymh9dColFTpmDurcuB1Tj8BvL0LPyRA8pmWDChwJM/4LjsZhyUWZYG0P9i4te55WNCDAgwEBHuQWVzDxP7t4+JvDrJo/GF9XtT50W/P94RTO55TwyV1q7qprgap5YPjG9PnOBML8Xenr34j1unVaWP+Q4arwKe+3zjrk3cdBxwhDk9iaOfDlGMiod+YWs+ThaMuHsyLIKarg5g/3cDxZ1UDakp2xWTy7/jj9u7gztncHU4ejXAUqeWC4KPBCbgkLr+/WuG9Mh5ZB5kmY8C/DtRmtSQi4/u9QnAWfDIfNz4KusnXP2cL6d3Fn7YND0AjBLR/v4YtdCWqFwjbgdHoBD3x9iG4+ziy9e0DjZmRQLNY1nzx0eskHf8TTs4MzY3o3YrpxKeH4dxB4nWFG3KshcCQsjIKI2fDnB7DyNsM07hakZwcXfnp0BKN6+PDKz6d4Ys1RKrRqOK+lKiir5MH/HsbJ3poV8waoUXXXkGu+z+OXE2kkZBXzYWPXGBAC7v4JyvJap7mqLu084Kb/gP8A+PExOPsHhE1v2ky+JuLhaMtns/vzwe/xvL01ls0x6XT2dGTh9d2YGNqh3vchv6SSHXFZxKYXopMSP1d7pkX4N3xd+StIvljCPzedQkq4vocPTvbWaKwEzvbWDA70VN+qjaSU/H46k1c3neJCbgnf3j8YHxd7U4elXEXX9HUeer1k4nu7qNTp2bL4uoZPLZ5z1vDT1PNPZZ42DOe1sYeNjximM7nuqSsve2tGfj+dwc7YbPYl5HA6vZAwf1ciOrvj7+6Aj4s9Ps52tHexJ7e4go3RKXx3KJmSCh0aK4EAtHqJezsbruvuja+bA6O6e9PJox0VWj0BXo4NjiO/pJJvDlzgo+3x6PWSdnbWZBWWX7LN0K6eLBzdDTtrDYFejng42rbwq2Heyip1bDmZQWx6IVtOphObUUSQlyMvTOnDdd1bb645pWW11HUe13Ty2ByTzgNfH+KdGX2Z1s+/YTtpy2HFFMOst4tPgLUZTDEtJfz2Auz7BKQeIubAyCXg4nvlfc2EVqfn633n+eV4OidS8ymp+Ou8XrYaKyaH+TJ7SBf6+LlioxEcS87ngz/iOZ1eQHp+GZW6/32ep/f35+WpIfWuOx+fWcTXfyayJiqZ0kodI4K9ePXmUPzdHUjMKaZCp0enlxy5kMc/N526JK4e7Z1ZMCqISaF+bfYq6tziCtZEJZGeX8avJ9JJLyhDYyXo4+fC7MFdmBresc0+97ZKJY9mJo/sonJuen83DjYatiweibWmAX8Aej18fx+cWAe3fmmYAbeJdMZJDzVWGqSUnM07Szf3bnxz6hv2pe3jnVHvkFachkZo8HVqYBIoSIWdb8Lhr8DKGgbOhzEvW0xzVhUpJQWlWjILy8goKCejoAxrjeD6nj641HMNTnG5lh2xWeSVVHI+p5hPdybgbG9NZBd3nhjbg5COhpF02UXl/HYygzVRSRy+kIeNRjClb0fuHR5Ib7+6h0FnFJQRl1FEhU5HXEYR3x9O4UxGIa4ONtwe6c8TY3tgb9OEqfjNULlWx/eHU3hz8xlyiytwsrMmpKMLC68PZmCgh0oYFqylksc12edRqdPzyDdHyC2uYN2DQxuWOAD2/seQOG58scmJI6c0B0cbR5adWManxz7l51t+Zk/KHl7b/xpbbtuCrcaW4spiNFYavjj+BVsSt7B75m5Wn1lNSmEKfxvwt1qPm1KUwp/pfzLqhmexG3Av8Tv/SXdtGcfT93Mm+xQ3d5uGq4Nbk2K+2oQQuLazwbWdDcHtGz4tvqOdNRND/5doR/XwYePRVH47lcEtH+3l+p7enEor5EJuCQDdfJz4+8SeTOvn36BFitq72NPe2K4/umd77h8RxI64LL4/nMLnu86xKy6bD+7s17Sp/M1EfkklKw+cZ/meRDILy+nX2Y1v7h9Ezw6Wc22RcnVcczUPKSVL1h5j7aFk3p7el1v7N7C5Ku0YfD4aek6E6Sua9G3+WNYxZm2axfuj36evd19WxKzgwfAHOZN7hsSCRMYFjMNO879/YmfzznK+4DyjO4/mjQNvEHcxjs/Hfs7bUW8zMWgiGqHhyZ1P8tLQl5BI5vwyh8/GfAbA/K3zWTp2KXr03LflPjYX2ZHXYyxJ3l25sc8cNNbXzqiY3OIKnvn+GMeT8wnzdyOiixuDAj0J83dtsYvZtp/J5Ik1Rymp0PHc5F7cGuFvcbWQA+dyeWjlIbKLKhgR7MX8kUEM7+alLvhrY1SzVROTx5ubT/PhH2dZdGMwi27sfuUdqpzcCNtegnu3NuqaDr3U88yuZ+ju3p27et/F1ye/ZlzAODo5d7ryzrW4WHaRO3++k/tC7+PGLjfy5M4nebDvg/Tx6kNOaQ6e9p6UaEs4kX2CUO9QXGxdSD/2LR32f8Gz5QnsbOfAzsxiPukYxAl3Pz6cvJKDybuwsbIl3G9Qk2JSDDIKynhs1RH2JeTiYm/NwtHduG94kNmP0JJS8t/9F3hpYwydPdrx3sx+1U18StujkkcTkoeUkre2nCG3uJJ/Tgtp2DeqklzDZIdCGK4o1zSspU+n17E/fT9D/Yby7O5n6eDYgUf6PdKoeOtSVFHExbKLdHJpXAKqvHiO5DM/EZgZy1dpe4gLGMD/jfuUR9dMJLbgHN9rPSgNHIlNr5tw6TTE4vpKzIFeL/kzIYelu8+x7XQmQ4I8eWFKb7Ns9tHq9OxLyGV1VBI/Hk1ldE8f3r0jvN5+JcXyqeTRjA5zKWXDE8cXN0Cvmwwdzw2g0+uwElasi1vHS3++xJrJa+jl2atJcV4teQl/UBT3K7q0aCaLVP6RncsEG29eD45g1sC/0dXOkyN5sfT0CsXRxpGojCgi2kdc0sSmXEpKyeqDSby66RRF5VqGBHnSv4s7zvbWuDnY4u1ih4+zHT7O9ng42lJUrsVK0PhJOZvgTHohaw8l8cORVLKLyrG3seL+EUEsurF7w4erKxZLdZg3wxUTR0UxxKyHA59BfrJh0sMGyC7N5uFtDzOn9xzGBozFydbJ7BMHgFvQ9bgFXU9xZTF/P/ktN5RVEHt6PQcKEripooCT+z7i/uwdfKrzoJ1PH+bn7OKzXvfj0mkIWdpiRnUaRVFFEY42jqp93EgIwR0DOzM+pANf7DLUQt7/Pf6K+7nYW9PRvR1dvR2J7OJOZ892eDra4elki621Fe1srZt0QeTF4go2Hk1l7aFkjqfkY20luKGXD9P6+XNdd+96hzMrSm2uyZpHvY6vhS3/gMJUcPGHca9Cn5vr3SU6M5r4vHimdZvG4u2LubnbzYzuPLrlYzORnLPbSDy1lm4Z8RRnHCdeI4ksK+eBXgPRtvPk27Ff8uD2RZToylkxYQXHs47T0bkjHvatPN+XhanU6Smr1JFXUklmYRmZBeVkFpaTW1yBs701Wr0k5WIpKXmlnEorIC2/7C/HEALCO7kR4ueKn5sDfm72+Lk50Mm9He1d7BBCUFKhJS6jiMMXLhJ1/iLJF0s5mZpPpU7Sx8+F2/r7M6WvH55OquZ4LVLNVq2VPDY/C4m7DUmjy7B62/0T8xMJcA3gsd8f40LhBb6f8n3b/+atLYeiDLiYSIlnV9JlOUH7vuSnY0vR2rsypf1gxlacYqBzAP8c8TqPH3uf0f6jmOwUyFdnNzLCfwSBnUeo/pQGSM8vI72gjOzCcnKKy6nUSTILy9kVl0VCVjH5pZdOjOnrao+ttRUXckuqVy/u6OZAkLcjPTs4M62ff73XsSjXBpU8WjJ5XNgP+UmGaze0FWClMdxqUVxZjI2VDT8n/Mzze59nw9QNuNi54GDtgKNNw6fDaFNiN0NGDGSeQp7fy6myDEqFFeGTPmBR1i6CL6Yw++QfjO3kx8MX87lD58BMb2cWBE9n6ICFLDvwNjeWVdDLvj1FTp44dxsHTmq6iyspKteSlldKan4Z57KKOHQhD71e0r29Mz06OBPS0QV/d7Wan8XTVUJJDljZGJa5dvSCZlyz1eaShxBiPPAfQAN8IaV8vb7tm5w89DpIjYasU5B5ylDLSIsG716wYPdfRlOVacvYk7qHbm7d0Oq1TP9xOv8a+S8i2kewKWETN3e7GSdbp8bH0ZZVlEBJNrTzBFtHSDsKWbHk29hSlp8ESQd5pfgkd/a4g86hdzBp3QReysqmX1k5kzr58XpmNr2w42m/jiy54V0CHP3YFvMNo3wHYePYnr15ZxjScSjtrNsRezGWbm7d0EkdMdkx9PHqg1av5XDmYfq374+jjSP55fl42HtgbXVNdvEp5kpKKEyD/BTQlRsSRGEGhN8Jdk6w7WU4utrQhC5rzDzdzNkt2lSHuRBCA3wIjAGSgYNCiI1SypZf9UhKWDYedBWgsaPANxTr6/+ObeS9bD6/mQDXALq6duWhbQ9xU9BNjO48mkV/LOLRfo8yt89c7up1F4GugXjYe3BX77taPLw2wbYd2NZYkdG3L/j2xRVwBRgM79fYPHrOUWRlKRnFaTx+8ltCO0tsizJwrEjExdaFxHN/8OqZrwjc/iZWwN992/N5sTXCN4z7Cg6zdOyX6He+yQNlp1naLgRppeHxoqMscxuMbsC93Lf1flYEzUQUZfL33P285TWcdlY2/FB0llmDnqTCyYdtx1cwxcqVHFnBD3knmeUzBDQ27NEVMDZkNmXFGRyK/5nhHiGUSy3HChMZ6N6HClsHTlJGhE8EFZmniC9OoY9HD7QIzhWn0d09GK29MylFqQTaeaHTlpFRkkFHxw7okFysKMDHNRC9RkNhSTau1o6AoFRfgaONE1IIKqUOOxsHpJTopK46CeqlHo34Xw35qjSZ6vWGf3R6HUid8afeUFN3cDc8nnnSsI1OC/pKwzdnqYduNxiOkXQQyvL/V8Oveg4dQsDeFbJiIScO9FrDvroKw803HPzCkbnn0B3/Do3x9SjXVWCPQOvWmfzek3C3dqTyx8fI0BbhJ2yp1GtJqyygk94K3Z3fklWShd/BZWjzLnDR2gYfe0901rYUlBfgPnAB0iOQ4gt7cc5PRdo6UYEOe2EYBafz7Ia1d3dEYSYyaR9C6hFSD5UlUF4ILn7QZxqUFcAvTxni1lci8y6gK8tHY+uIfv4OynRl2H91M+XJB0m31tBRq6VYWBFna0NopwHku3QgSp/PdQFDyHHyYkNFOg96RPJHeQaVFHFT67/TV2QWyQMYCMRLKRMAhBCrgKlAyycPjTXDgoKY3mUCi4b+g+tXDmSWkw2L2nnw/J7nubPXnTze/3GshBUaKw2udq6smryKbm7dsNHY8Hjk4y0e0jVPCIRtOzrYdmXesOeqi5cZf1Zau/CHsMYFa3RFGfx8MQ4f+xxKHXz4aMBHBLsFY5URy1caDd0unkCjq2SdqMQ/fQv5N7zMc4Oeo/OfS8lKO0Soqwvu574k1saWlT5ejM+NI12bz9vxqxmQkk6Oxoq1Pl7ccmQD52ys+b/23oQFjSHl7GaePr2M71LSSLG2ZnF7b8N9vzAWiSy+m7SalG9uYlFVubW18X46KbNWsWj7Ir7TeZOSffKv2/R/jhQXLxb9seiyfWvcv+k7UuK3sOjU53yXmkmKjS2LvN34LjOfFN8QFumS+G7iKlK+uZnHXe1YnV1MqkbwhHs7VmUVkTpjGUt2LmGlzpO0rJM86enK1zlFZFjb8LSrHcuH/B/pTp78/Y/FLE3LIl0D/3B35ouMHNI1guf9OvHZpJVknN3CC0c/4NP0LNKtNTzv5WG479+Pf9hX8vmNH5O+4gae8/bki7RM0qw1hvvp2aTPWcuzu5/ly2Ib0rNjeMbbk2VpmaRba3ja24vlg14k1cWbJ/9YxNdJyaTYWPOEjxerUtNJrvk6xP3CosSvL3l91qZkkOQfzuKYf7N20mqS0vez2AnWFtuSbAWLHCpYix/JqX+yaPti1tqHkJxzkkWOetbGXiRZ6Fjk48Xai6NJLklm0c5FrE1Jqz7vJfdvWkvymR9ZFLvir++XfwRPHHqJ1RO+JjllJ4ucrQwxOHmwyE7LWpfuJCdtZ9H2RaztMpULncN5PPVX1kY8zQVdGY8ffZe1tvYk5cTw99QtrL1pLUmFSazYsYQxg5fQQV9Jua681j+jq80smq2EELcB46WU9xl/nw0MklIuvGy7+cB8gM6dO/c/f/58k873wZEP6OvdlxH+I1h1ehU9PHrQz6cfFwou4N3OGwdrtb52myal4YYEBFr0lJfmYq/TotHrqr8tV1aWctHaGnfPHlQWZ5KR9Cd+dm5U6CpILcumi50n5baOnHf2oJtLEOUnvye+OI0+9t6U6Eo5XZJGuF0HSsNncCz7GAMvZlFcmMqR0jSGOnWmWF/B/qILjO7/EIV2juw5/jVjtRoKdWVsLzrPZKdACnTl/G5nxdTIRynIiuG3Qx8zrV0ABbpytpQmcZt9Jwpc2vOrszO3B99G/tbn2FSRwR0OXchHy09lqcxy7ErekAX8ePZH7qqwIu9iAhtKznO3QwAXdaWsL01i7vCXyGvnyrqD73CP1p48qeW70gvc79KTi3otq61KWDD8RS5mnWTV4Q9Y4NGfPH0lqwtOscBrIHn2zqypTGd+2HzyTq3nu6xD3N95LPm6Cr7L+JP7Am4i3zOAtbFrudd3FPkl6XyfspN5/jeQX1nID2l/Mrf/oxRaCTae/Ia7/EZSqCvn5/S9zAyaQpG+kk3pfzKj92yKygvYnPgrtwXfSomunD+StzMpaBLlunL2pu7lxs43Uq4r53DGYYZ1HEaZtozorGiG+A2hpLKEqIwoRnQcQXFlMQfSD3B9p+sprCjkz7Q/GdN5DIUVhexM3MJE7wgKijLYnnWYm/yGkV9Zwrb8M0zrM5v8whQ2x/7A9M5jKNCVsiljP3d0n0G+1PLz+c3M7DmTwopCfkn8hRk9ZlBYUciWxC3c2v1WiiqK2J60ncldJxuaWI1x6qSOs3ln6ePZB4kkuzQbX0dfhBBIKbHVtMwSAG2qz6OhyaOmVhttpSiK0oa1VPIwl3mVU4Cac234G8sURVEUM2QuyeMgECyECBRC2AJ3ABtNHJOiKIpSB7PoMJdSaoUQC4HNGIbqLpVSxpg4LEVRFKUOZpE8AKSUm4BNpo5DURRFuTJzabZSFEVRLIhKHoqiKEqjqeShKIqiNJpKHoqiKEqjmcVFgk0hhMgCmnaJuWl4AdmmDqIJLDXuKpYav6XGXcWS42/rsXeRUjZ72mqLTR6WRggR1RJXdV5tlhp3FUuN31LjrmLJ8avYG0Y1WymKoiiNppKHoiiK0mgqeVw9n5k6gCay1LirWGr8lhp3FUuOX8XeAKrPQ1EURWk0VfNQFEVRGk0lD0VRFKXRVPKogxCikxDiDyHESSFEjBDiMWO5hxBiqxAizvjT3Vg+SwhxTAhxXAixVwjRt8axxgshzggh4oUQT9dzzruNx40TQtxdy+MbhRAnLCVuIcR24/7RxptPfbGbYfy2QojPhBCxQojTQohbzT1uIYRzjdc7WgiRLYR418Je95nG4x4TQvwqhPCyoNhnGI8dI4R4o764TRj7r0KIPCHET5eVBwoh9hv3Xy0My2PUTUqpbrXcAF8gwnjfGYgFegP/Ap42lj8NvGG8PxRwN96fAOw33tcAZ4EgwBY4CvSu5XweQILxp7vxvnuNx28BvgFOWErcwHYg0lJfd+Al4BXjfSvAyxLivmy7Q8BIS3ndMcz0nVn1WhvP/6KFxO4JXAC8jdutAG4wp9iN294A3AT8dFn5GuAO4/1PgAfrjb0xf9jX8g3YAIwBzgC+Nd74M7Vs6w6kGO8PATbXeOwZ4Jla9pkJfFrj90+Bmcb7TsBu44eq3uRhZnFvp5HJw8ziTwIcLS3uGmXdjc9BWEr8gA2QBXQBBIZ/YvMtJPYBwLYa5bOBj8wp9hqPj6JG8jC+1tmAdW3Hq+2mmq0aQAgRAPQD9gPtpZRpxofSgfa17HIv8IvxfkcMf8BVko1ll6tvu/8D3gZKLCxugGXG5pN/CCGEpcQvhHAz/v5/QojDQojvhBC1ndOs4r5smzuA1dL436ChTBm/lLISeBA4DqRi+ML0pSXEDsQDPYQQAUIIa+BmLl1e2xxir4snkCel1DZ0f5U8rkAI4QSsAxZJKQtqPmb8o5SXbX89hjf1qRY6fzjQVUr5QyP3M2ncRrOklKHACONtdkN3NIP4rQF/YK+UMgL4E3jLAuKu6Q7g28bsYOr4hRA2GJJHP8APOIbhW3RD9jVp7FLKixhiXw3sAhIBXUP2NXXsTaGSRz2MH+R1wEop5ffG4gwhhK/xcV8M7bNV24cBXwBTpZQ5xuIULv324Q+kCCEG1ejUnFLXdhiqj5FCiEQMTVfdhRDbLSBupJRVPwsx9NcMrC9uM4s/B0NNr+r83wERFhB31bH7YmiCOFRfzGYYfziAlPKs8Z/mGgzt/JYQO1LKH6WUg6SUQzA0PcWaWex1yQHcjDWmS55TnRrTHnct3TC0AX4FvHtZ+Ztc2pH1L+P9zhiqrUMv294aQ4daIP/ryOpTy/k8gHMY2jHdjfc9LtsmgCt3mJtF3Mb9qzo9bYC1wAJLet2BVcBo4/25wHeWELfx8deBlyzt846htpHG/zqd/w942xJiNz7mY/zpDkQD3c0p9hrbj+KvHebfcWmH+UP1xt7QD9e1dgOGY6gqHjN+CKKBiRjaBrcBccBvNT40XwAXa2wbVeNYEzF8AzkLPFvPOe8xfjDigXm1PB7AlZOHWcQNOGIY6XMMiAH+A2gs6XXH0Gm70xjLNqCzJcRtfCwB6GmJn3dgAXDKGMuPgKcFxf4tcNJ4u8NMX/ddGAYllGLo2xhnLA8CDhif03eAXX2xq+lJFEVRlEZTfR6KoihKo6nkoSiKojSaSh6KoihKo6nkoSiKojSaSh6KoihKo6nkoSiKojSaSh6KoihKo/0/kYG0LdqA6U4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(data=Weekly)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Weekly number of hospital admissions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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m4rxGIiNTk9AwWBEpQkMmCXd/BLAciy8ZYH0Hrs+xrzuAO4YTYFEZlSQxNzy86PCm+PYpIhITXXE9HK8kiRj7JEorYOrroHVtfPsUEYmJksRwZK62ro555G7960OS0DBYESkyShLD0b4t3G+prDre/U5fHobAHt0S735FRAqkJDEchzfClLPi32/98jBVk5OIFBklieE4/AJMOTP+/U59bbgbbGtT/PsWESmAkkS+uluhu2V0ahKlFTDtHNUkRKToKEnk6/DGMB2NJAGhyam1Cfq6Rmf/IiIjoCSRryNRkpg8Cs1NAAt+F44dhuavjM7+RURGQEkiX4dfCBe9TVo0OvufdTHMfDts+Ltw+w8RkSKgJJGvwy/A5MVQks+dTEbADM65Cbr2wItfHZ1jiIgMk5JEvg5vHL2mpoyZbw0jnXZ9f3SPIyKSJyWJfPQfgyPNo9dpnW32JdDyiDqwRaQoKEnko/0l8N7Q3DTaZl0SEsT+R0f/WCIiQ1CSyEf7tjCdtHD0jzXr7WClsOeno38sEZEhKEnko317mNYuHP1jlU8J10zsfXD0jyUiMgQliXy0bwcrifc5EoOZfQkceAJ62sbmeCIiOShJ5KN92/GHA42FeVeB98FL943N8UREclCSyEf79rFpasqoXw6Tz4Bt3xy7Y4qIDGDIJGFmd5jZPjN7Nqvsk2a2y8zWRa8rspbdaGbNZrbRzC7PKl8RlTWb2Q3xf5RR1L4dak8Zu+OZwcLfh30PhZFVIiIJyacmcSewYoDyW9x9afS6H8DMlgBXA2dH2/yzmZWaWSnwZeCdwBLgmmjd4tffG55IN5ZJAmDR+8N0+7fG9rgiIlmGTBLu/jDQmuf+rgTudvdud98KNAPnR69md9/i7j3A3dG6xa/z5dA/MNZJYtKpULcMXv7x2B5XRCRLIX0SHzWz9VFzVF1U1gjsyFpnZ1SWq/xVzGyVmTWZWVNLS0sB4cVkLIe/nmzm2+HAY9DXPfbHFhFh5EniVuA0YCmwG/h8XAG5+23uvtzdlzc0NMS125F7JUmMcU0CwoV1fV1w4MmxP7aICCNMEu6+19373L0f+AqhOQlgFzA/a9V5UVmu8uKXudq6ZsHYH7vhLWG67+djf2wREUaYJMxsTtbbdwOZkU+rgavNrNLMFgGLgSeAJ4HFZrbIzCoIndurRx72GGrfDlWzoKx67I9dOR2mvU5JQkQSM+TDEczsW8BFwAwz2wl8ArjIzJYCDmwD/gjA3TeY2T3Ac0AvcL2790X7+SjwAFAK3OHuG+L+MKNirIe/nmzm22HL18KdaMfqYj4RkciQScLdrxmg+PZB1r8ZuHmA8vuB+4cVXTFo3wZ1S5M7/uzLYNM/wfZ7jg+LFREZI7riejDeHy5mS7Im0fibIUk98zfQ15NcHCIyISlJDKZrH/R3JzP8NcNK4NzPwNEt0HxbcnGIyISkJDGYzMimJGsSAHMuDyOdXvgH6O9LNhYRmVCUJAaT5DUS2czgzI+HePT8axEZQ0oSgymWJAEw70qomQ+b/l/SkYjIBKIkMZj2bVBRF54Wl7SSMlj8Edj7Uzj4TNLRiMgEoSQxmKSvkTjZ6augbBJs+EzSkYjIBKEkMZhiSxKV9aE28dK34fDmpKMRkQlASSIX99DclOTw14Gc9T+hpAKe//ukIxGRCUBJIpeeVuhtL66aBED1LFj4ftj+bejtTDoaERnnlCRyOdIcprWLko1jIKdcDb1HYPePko5ERMY5JYlcDj4dpnXnJhvHQGZeBJUNsP3upCMRkXFOSSKXtnVh6Gux9UlAGA674L2w6wdw7GjS0YjIOKYkkUvrr8ON9cySjmRgp1wNfZ2w476kIxGRcUxJYiD9fXBwPdSdl3QkuTW8BSafAc3/mnQkIjKOKUkM5Ggz9HUk+xyJoZjB4g/D/keh7emkoxGRcUpJYiBt68K0mJMEwKKVUFoFm29NOhIRGaeGTBJmdoeZ7TOzZ7PK6s1sjZltjqZ1UbmZ2ZfMrNnM1pvZsqxtVkbrbzazlaPzcWLS9uvwqNApS5KOZHCV9TD/d8M1E3ogkYiMgnxqEncCK04quwF40N0XAw9G7wHeCSyOXquAWyEkFcKzsS8Azgc+kUksRaltPUx5DZRWJB3J0Ba8F44dhH0PJR2JiIxDQyYJd38YaD2p+Ergrmj+LuCqrPKve/AYMM3M5gCXA2vcvdXd24A1vDrxFI8jG0OSSIPZl0JZLez4btKRiMg4NNI+iVnuvjua3wPMiuYbgR1Z6+2MynKVv4qZrTKzJjNramlpGWF4BejrCfdsmnLG2B97JMqqYe4VsPM/9dQ6EYldwR3X7u6AxxBLZn+3uftyd1/e0NAQ127zd3QLeH8YXpoW894NXXth/6+SjkRExpmRJom9UTMS0XRfVL4LmJ+13ryoLFd58TmyKUwnL042juFo/C0omwybvpx0JCIyzow0SawGMiOUVgLfyyq/NhrldCFwKGqWegC4zMzqog7ry6Ky4pPGJFE+OVwzseNeOLo16WhEZBzJZwjst4BHgTPNbKeZXQd8FrjUzDYDvxG9B7gf2AI0A18BPgLg7q3ATcCT0etvo7Lic3gTVM4Iw0vT5MyPgZXCC7ckHYmIjCNlQ63g7tfkWHTJAOs6cH2O/dwB3DGs6JJwZFO6+iMyahph4e9D823h6XVTz0o6IhEZB3TF9cmObErPyKaTnfuZMBz28es00klEYqEkke3YUejcnc6aBISn1r3+i2GU04abk45GRMYBJYlsaey0PtnC98Oia+GZT8CLX0s6GhFJuSH7JCaU1qYwnVaET6PLlxlc8FXo3ANP/CGUVsLC30s6KhFJKdUksu17BKpmwuTTk46kMCXl8LbvQsPb4NEPwPZ7ko5IRFJKSSJbyyPhYT7F+jS64SirhYt+CDPeDI9eC/sfSzoiEUkhJYmMjpehfWtIEuNFWQ289btheOzPVsCTH4UjLyYdlYikiJJExv5fhul4ShIAVTPgHQ+Eu8VuuR3WvBkOb0w6KhFJCSWJjH2PQGlN8T+NbiQmnw5vvRdWPAU4PHgxdO0bcjMRESWJjP2PwvTzQ6fveDX1NfCOn0B3C6z7i6SjEZEUUJKAcHXyoWeh7rykIxl9defCWf8LttwJ+36RdDQiUuSUJACOvgh9nTDtdUlHMjZe+3+g9hRo+hPdvkNEBqUkAXDwmTCdKEmirAaWfg4OPg3bvpF0NCJSxJQkIEoSBlOXJB3J2FnwPph+ATz9V+GeVSIiA1CSADj0TBgBVFaTdCRjxwyWfQG69sATq8BjewKtiIwjShIQahITpakpW8Ob4JybYPu3YO2fQssvlSxE5ARKEr0dcKQZpk7AJAGw5IbwsKJN/wRr3gLPfjrpiESkiBSUJMxsm5k9Y2brzKwpKqs3szVmtjma1kXlZmZfMrNmM1tvZsvi+AAFO/Qc4BOzJgFgJfCmb8B7DoRk8czfwNZ/SzoqESkScdQk3uHuS919efT+BuBBd18MPBi9B3gnsDh6rQJujeHYhdv4RbCycCHdRFZZDxfcDrPeAY99ELZ/O+mIRKQIjEZz05XAXdH8XcBVWeVf9+AxYJqZzRmF4+dv52rY9m9w9l9B7fxEQykKpRXwtu/BjDfBr34PHn43vPxA0lGJSIIKTRIO/MTM1prZqqhslrvvjub3ALOi+UZgR9a2O6OyE5jZKjNrMrOmlpaWAsMbhPfD2o/BtHPg7L8cveOkTflkeMeP4Iw/gQNPwMPvgvbtSUclIgkpNEm8xd2XEZqSrjezt2UvdHcnJJK8uftt7r7c3Zc3NDQUGN4g9j0M7dtCx21pxegdJ43KauH1/wiXPQYYPPOppCMSkYQUlCTcfVc03Qf8B3A+sDfTjBRNM7cb3QVkt+nMi8qSsfUbUDYJ5l2ZWAhFr3Y+LP4IbL0LDr2QdDQikoARJwkzqzWzyZl54DLgWWA1sDJabSXwvWh+NXBtNMrpQuBQVrPU2OrthB3fgfnvmVgX0I3E2TdCaS38+s+TjkREElBWwLazgP+w8KjPMuDf3f3HZvYkcI+ZXQdsB94XrX8/cAXQDHQAHyrg2IV5+Qdw7DAs+kBiIaRGVQO89q9h3f8OndhzL086IhEZQ+ZFfIXt8uXLvampKf4d//Ia2PtTuOplKCmNf//jTV83/PBs6D8Gyz4P838nXF8hIkXJzNZmXZZQkIn3P72vG3b9EBrfpQSRr9JKeOPXw/SR98Lj1+n2HSITxMRLEnsfgt4jMO+qpCNJl4Y3wW8+H4YLb7kTnvtc0hGJyBgopE8inXb+ZxjiOfuSpCNJn5JSOOfTcHQLPH0jtK2Dhb8HNfOgvjjusiIi8ZpYScIddn0P5qyA0qqko0kns9D0NPVsePYmeCm6fcfbVodnaD//+TB0dv57YcriZGMVkYJNrCRx6Fno3A1zr0g6knQrKQ+PQD3tOujYFfoonvwjKKkI329/D7xwC6xoCo9JFZHUmlh9ErvXhOnsS5ONY7yongPTl8OFd0JXC3QfgMt+Bb/5XBgJ9fMr4ejWpKMUkQJMrJrEnjUw5SzdzC9u9efBRfeHayrqloayN38LHr4Kvn86zL4sNPHNuRSmvCY0WYlIKkycJNHXDft+Dqf9YdKRjE9zTqqdzX0nvOtF2PRl2HEfPPXxUF5aDRV18PovwYL3jHmYIqng/XDsUPi/krCJkyT2/wr6OtXUNJZq5sHSz4TX0W2hJnf4BdjzIDx6bajVTTs76ShFikPHTmjfEfr01t0QRmFevCbxmvfESBLuoSO1tApmXZR0NBPTpIVw+n8P8x0vw4+XwUMr4HWfhEXXhs5wkYnqpe/AoyuhryO8r5oFSz+bbEyRiZEkttwJu74Py74QnpcgyaqZC2//PjzxYXj8D2HbN+Gt34WKaUlHJjJ2vB9euhc2/wvsewhmvBGW/AX0HIL5V0H5lKQjBCZCktj9E1j7JzDz7XDmx5KORjKmvyEMkd16FzyxCv7rbfAbDytRyPjXuRd2/zgkhwOPwaTT4Nyb4aw/C7e+KTLjN0m4w+Zbw9Pnpi4Jo210U7riYganfhCq58LPfwseeV8YJVUyfv8sZYLq64aOHbD9bthwM/R1QXUjXPi10NxaxOem8fm/sfsAPPYHsGt1GHr55ruhYmrSUUkucy6DN/xLuCjv3skw6VRY+jlo/K2kIxMp3L5H4OEroac1vF/w3nAPtGnnFHVyyBifScL74eB6WHYLnPmnqfiHmPBO+4PwpMADT4Sq+M9/O1zRvfzLRVkFlyLV1xNGMZbVjP1giP6+8MN078+gay9UzQyxbPsm1CwIfaJTl4Sm1hQZv8+T6OvWySWt+nrg2U/Bhr+D+uWhSaqiHrr2Af1h7PjU14Z7RZXVJh2tjLWeQ3D4+XBLmM6Xw/UEGLx8fxjqDuF9zTyYc3l4LMDs34Cy6rAoznNDx84wKMb7Yctd0PoklNZATWP4ey2tgrrzwv3OqhriOWYe4nyexPhNEpJ+L90HT/2P0JY7IAsjQPp7oGo2VE4PTxysnBH+Qx47HGon1XPDq/YUqF0AVhYSzaRT9fjaYtG1H1rXQtvakARKq8MJtqYRJp0OLb8Itcwjm+Dgs8AA560prwkPxKqog2NH4NAG2P1AeDRASWX4FX/sCBxthvo3hCdTnvrB/Ec8tu8IIyUPPx+ajroPQNuvwfvC8qpZcN7n4ZT3JT6kO9VJwsxWAF8ESoGvunvOwcBKEoI7tG8P48erZoGVhl9ohzaEk0V3S/gP2fky9LRB+dSwvHt/6Ic6djQs62559b6tBBreEm4bMnUJHGmGoy+G5FI+NRyvelY0nQu1C8Mvx659MPOtuU8u7uHEVDY58QuhRkX7juO/4I9uhZ4D0Nsebu7Y+XK4j1dVQ0jKNfMHvuOy94fkf/gFOLzxxB8CpVWhY/dkk8+AyafD9POh/vWhplDdGEbE9feEX/Anf999PeFOC3t+AgefCfue8pow6rHtqfAjYtKpoaZaMTUkkczfT0lF+BHRezSUHzsc9plZv7I+1BJO/SCUTwtxFEnrRWqThJmVApuAS4GdwJPANe7+3EDrK0lIbPq6of0l6NwZfvl17Q/9Vi//MEwzKmeEBHHsUDhR5FJSkXVyqTueMI68CEc2hhNK1UyoOSUcz49Bfy94b7j5YWkVTF4MU86E2kXRL+fKsN+Symg+ep+ZP3k5Ftq8+zpD7aimMZx8uw+EpFg5PdSwXnXi7Aonwuo5IcG6h3h7WsPnttIQc8fL4aSf/Tr8AhzZ/Orvw0rDsarnhu+we1/4vgdKzhnlU2DymeE7mHZOuFlk3bJwsvb+EOfRreH7nH5+SApx2v8EbL0z+hHRCscOhpgqG8Jn6O+B3g4onxQSfvVsOOUamLQo3jhGQZqTxBuBT7r75dH7GwHc/TMDra8kIWOi52D4NTvpNKiacby8/1j4Vdy1Fzp3hRNW9eyQGHY/AO3bQu2luzXUHLwvJI7JZ4YT2uEXoGsPWHkY1mtl4aRsZdDXDoc3hRNuf3c8n6OkPCSi7KaY8ilQMT3UmjIJpedgWKekPCzvaQsn5cFUNhxvspv1jnBiL5sUaldVM0PyGqjW1NcVxTSAstrxWdMqAnEmibEe3dQIZDcw7wQuyF7BzFYBqwAWLFgwdpHJxFUxDWZc8OrykvJwdXjNXOC8E5fF9WTD/r7wa7u/O9R2Xpn2nFjW33PS8u5QAyirhpKqsLx9W6ihZH4Jd+0NSain9cR1qxpCLeLollCDyNSGKurDd+F9Ialk+nKqZkNpxcg+X2lVaFiW1Cq6IbDufhtwG4SaRMLhiIyuktJQOxEpUmN9AcEuIPthDvOiMhERKUJjnSSeBBab2SIzqwCuBlaPcQwiIpKnMW1ucvdeM/so8AChpfIOd98wljGIiEj+xrxPwt3vB+4f6+OKiMjw6aZGIiKSk5KEiIjkpCQhIiI5KUmIiEhORX0XWDNrAbYnHccwzQAGuelP0Upr3BlpjT+tcUO6Y4f0xp9P3Ke4eyz3Ji/qJJFGZtYU1z1TxlJa485Ia/xpjRvSHTukN/6xjlvNTSIikpOShIiI5KQkEb/bkg5ghNIad0Za409r3JDu2CG98Y9p3OqTEBGRnFSTEBGRnJQkREQkpwmfJMxsvpn9zMyeM7MNZvaxqLzezNaY2eZoWheVv9/M1pvZM2b2KzM7N2tfK8xso5k1m9kNgxxzZbTfzWa2coDlq83s2bTEbWYPRduvi14zB4u9COOvMLPbzGyTmb1gZu8p9rjNbHLW973OzPab2T+m6Du/JtrvejP7sZnNyLWPIo3/v0X73mBmnyvCuH9sZgfN7AcnlS8ys8ej7b9t4ZENg3P3Cf0C5gDLovnJwCZgCfD3wA1R+Q3A56L5NwF10fw7gcej+VLgReBUoAJ4GlgywPHqgS3RtC6ar8ta/jvAvwPPpiVu4CFgeVq/d+BTwKej+RJgRhriPmm9tcDb0vCdE+4+vS/zPUfH/2Ra/maA6cBLQEO03l3AJcUSd7TuJcBvAz84qfwe4Opo/l+APx7yex/Of+yJ8AK+B1wKbATmZP0jbxxg3TpgVzT/RuCBrGU3AjcOsM01wL9mvf9X4JpofhLwSPQHNGiSKLK4H2KYSaLI4t8B1KYt7qyyM6LPYGmIHSgHWoBTACOcrFal5bsH3gA8mFX+AeCfiyXurOUXkZUkou96P1A20P5yvSZ8c1M2M1tIeOL948Asd98dLdoDzBpgk+uAH0XzjYT/qBk7o7KTDbbeTcDngY6UxQ3wtajZ46/NzNISv5lNi97fZGZPmdm9ZjbQMYsq7pPWuRr4tkf/84s9dnc/Bvwx8AzwMuFH0e35xp50/EAzcKaZLTSzMuAqTnwsc9Jx5zIdOOjuvcPZXkkiYmaTgPuAj7v74exl0X8+P2n9dxD+Af8ipuMvBU5z9/8Y5naJxh15v7u/Dnhr9PpAvhsWQfxlhGet/8rdlwGPAv+QgrizXQ18K9+Vk47dzMoJSeI8YC6wnvCrON/tE43f3dsI8X8b+AWwDegr9rhHSkmCV/5o7wO+6e7fjYr3mtmcaPkcQhtqZv1zgK8CV7r7gah4Fyf+mpgH7DKzC7I6F9+Vaz1C1W+5mW0jNDmdYWYPpSBu3D0zPULoTzl/sLiLLP4DhJpb5vj3AstSEHdm3+cSmg/WDhZzkcW+FMDdX4xOjvcQ2uHTEj/u/n13v8Dd30hoNtpURHHncgCYFtV+Tvg8gxpOG+B4fBHa6b4O/ONJ5f+XEzuV/j6aX0Cobr7ppPXLCB1bizjeqXT2AMerB7YS2hrrovn6k9ZZyNAd10URd7R9pgOyHPgO8OE0fe/A3cDF0fwHgXvTEHe0/LPAp9L0t06oPezmeMfvTcDn0xJ/tGxmNK0D1gFnFEvcWetfxKs7ru/lxI7rjwz5vefzxzWeX8BbCNW89dE/9jrgCkL73YPAZuC/sv44vgq0Za3blLWvKwi/KF4E/mqQY/5B9EfQDHxogOULGTpJFEXcQC1hZM16YAPwRaA0Td87oQP14SiWB4EFaYg7WrYFOCttf+vAh4Hno1i+D0xPWfzfAp6LXlcXYdy/IAwO6CT0PVwelZ8KPBF9nnuByqG+d92WQ0REclKfhIiI5KQkISIiOSlJiIhITkoSIiKSk5KEiIjkpCQhIiI5KUmIiEhO/x+KBANd1y4S4AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(data=Weekly['Hospital_admission_rollingsum1week'], color='orange')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Weekly number of deceased patients:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(data=Weekly['Deceased_rollingsum1week'], color='green')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Growth rates:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Daily Total reported positive tests, including rolling means for 3 days and 1 week:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(data=GrowthRate['Total_reported'][-100:])\n",
    "ax = sns.lineplot(data=GrowthRateRollingMean3d['Total_reported'][-100:])\n",
    "ax = sns.lineplot(data=GrowthRateRollingMean1w['Total_reported'][-100:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The same for Hospital Admission:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CzWLqm4Fw3dLIqNusBaoLJgNgt5o10XBlaRv6a5P2C4SNlNvOratwNEamqVl7oiwNheLEoNavVSU3KdHoMb5uBMKNpV49dgsOi4nmFF1aJxJGTMMWbgRXNpi04dJuMWlWiDNb29Bfk7RfqoHwUCRGhkW7qVGioVCcINT6dEtDuad6jGFpBMJRojHZ6bbBSIxITOK2W3DazH06pmENNyWlxDrilkaO9kKglaWRonsqHI2RYdJFY6C5p4QQTwghKoUQmxNeyxZCLBJC7NT/Z/XGsRSK7hAPhPeCaPxlyU6ufPjTHrdzonO4IcDku99jy6HkAG9iALwrF5VxvdMcFhxWc4/dU5vLGph893uUNzT3qJ3uYBT3WcJN4MiIv263mDRBcLVvaaScPRWNkRF3Tw0w0QD+DZzf6rU7gSVSyjHAEv25QnFMMUSjN9xTm8saWLu/rt+n7+6q9OINRthV6U16PfG8u3JRGTEkt82Cw2LucSC8pLwJbzDC3upjV6RpuKfMocY2ohGKxDTrwGxrE9Pwd6O4L92wNAZacZ+UchlQ2+rlBcCT+uMngct641gKRXdosTTCXWyZels7Ww2m/Q3jPBsDydfMnyAUXVWFG5aGx2HBYTX12D3VoPelIdDzzzFVDPeUKdTa0tDdU0JocY3WlkY33FPpJn198IHmnuqAAimlUYZbDhS0t5EQ4hYhxBohxJqqqqqj2B3FQMQYAJvDsXgFbk/b2pHiehJ9lbhotLLOfKEI+qwgXVpbcdGwW7Bbe25pGGLRWsiOJoalYQo2JIuG1dSycp8rGwJ1SfulOvdUKBrDw8B1T3WKlFIC7UbOpJSPSilnSiln5uXlHYvuKAYIsZikzh/GbdNmKe2pW6nWrw2m2weMaCQP0L5ghByPXX/c+YDoSxANLabRO5ZGfSDUo3a6Qygaw0QMEfImuY+07Cn9fFw57binUpvlNhyRuIWyNBKpEEIUAuj/K7vYXqHoVRqbw0RjkiHZLqBncY1INEa9nr67o6LvisbSkkrOeXBppwNaTQdxIF8oSr5e4Z1qINytp9wGe8nSOJbuqWA4igd9/e4ESyOePQXgzEpyT8ViMu6K68olF4zGSEPVaSTyOnCj/vhGoP15hBWKo4Qx+A3L0USjJxlUdbpgmE2Ckj4tGlXsrvJR2RjscJtab/sxDV8wEheNrq5lYvaU02bu0lXTFcdFNKIxci36oO5ItjRC0ZiWduzKSUq5TcwS69rSiOEmAFYXmMydbnsi0Vspt88By4FxQohSIcTNwP3AuUKIncB8/blCccyoi4uGG2g70K3cU0NpnT+1tnTX1JSiDKqagnEXzpEgpeTNjYeOy9QahpVkuNraw3gv0dKIxST+UJT8NAfQ9UJM8ewpe+9kT7WIRvJn2Nm1/N/2Sqq9HYtja3ZUNLG5rCXNOBiOkRMXjeRAOOgTDrqyNfeU1LzvxnWxmU0pxTRcBPqUawp6L3vqi1LKQimlVUpZLKV8XEpZI6U8R0o5Rko5X0rZOrtKoTiqGJbG0Lh7Kvku9VvPrOOhpbtTa0u/+z5llFbQVdKDuMZnpQ3c9ux63t+a2lrbvYkhGnWdiUY7MQ1jAMxPN2IanVsavmAEIcBlNfdK9lS93t/6Vv3eWenltmfX89qG5KVXG/xhvvrkah75MLXPF+D+d7Zz18ub4s+DkRhZZsN9lGxpaO/rVeEyGp+00MicynbbaA5HkbLjIshwNIZTBvqUawpURbiiH1PbRjRaBrpINEatP0RVU2p3okZbp4w0RKPxiPu1/bC2b2XjsStUA6j2BqnWxa+uE0upvdoWQyRyUwyENwUjuG0WTCahBcJ7bGlox2/tMjM+v9bJCTsqm5ASNpYmFyh2hrc5QmVTy2cSisTIMrWNadithmi0rQo3xDXLbSMmIRztWDRCkRgu6e9TmVOgROOIeOyjPfz0lU1db6g4rtR2EtNoCISRkpTdTMZ0JOML08h0WSmpOPJaDWOAq+mBi+tISEwVNmI0rYnGZPxuPnGANqrB050W7BZTl3UaxrxT0DLBX2d33Z0hpYz3pXVMw7iGrS0/4/nmsgZiXUx5YhAIR6nxhuL9DEaiZBp1FEkxDc09FQzHEqrCNdHwxy0Na7zNjghHYzhkAGzK0uj3vL+1gvc2lx/vbii6oNYXwmUzx++OE2e6NQbN1EVD2z7LZWNsQVqPMqiMfWu64W/vDRID+K3dPAYNgTAxqU3/3Z6l4bZZ8NgtKdVpuO3a4OpIvDM/AgLhaLzQrrVoGLMYt/48DNHwhaLsSbGKvDkcJRKTNOpWTSgSIzNuaWTGt2s5n2iLpREXDW3fdKf2cmdZY8FIDEfMr9xTA4GyugA1vlCfXCNgIFHrC5HttuGymTGJZEvD8Ol3x9LIcFqxmk2MK0hjR3nTEd85t4jGsbU0SsqbyHbbyHbbOjxvw6Ialu0iEI7GCyINkSisX0eOLdR1IDwYxeOwQvUu8oOlQHI20eGGAM+vOsBz+t/y3TUdNRUXilyPTRO1BMvBmMW42htKCnqXVDSR5dLu9hOD251hWAVVejvBSIwMoYtGwsBuWBrN4ZiWcgvxtNvmcBSTo5RPIt/E5Cjt2tKIKfdUvycSjVGu+6IrjrFPWtE9DNEQQuCxW5LunA2ffkMgnFKleI3eFsC4QWk0BSMcOoLJ8xLjCt3J7OkNSiqaGFeQRpbLGq85aY0hZEbGmXHN/KEouTQwedF1fFG+03XKbXMYj90Mr3+Hczb/CEh21fxlyS7ufHkTd+l/Nz6xqsObMEM0hma7iEnwJrjGDJGDFveblJIdFU38bNBqxlorU45rGMF6wwIMRWKkEQCrG8zW+HZJgXDDPRVocU9Z3LuQRLFmrOs0ASAUiWGP+gdm9tRAoqIpGJ8W+vAxnHFT0X1qEwb6NIe1XUuj9eOOqPMniwYc2XQixj75afa4eBwLpJTsKG9i3KA0slwdWxrGtRiux4GMWII3GGGCaT8CyTi5t8viPl8wqsU0aveQ1bSTYlGZNIDW+oKMynOz4q5z+O1VJxGKxth2uP3kggZ/i2gkPtfaCZHh1AZ0w/1W2RTE7q/gqkO/5SH739lS2rEVk4ghWkacJBiJki58SfEMSBSNGNgzQJiTYhomh2ZZWdI34Q+1f52jMam5AZV7qv9TVheIP+5smubV+2o7vXsaaPzuve08/vHeI9p37f46bv736m7PHZUoGh67pd2YhrFdV9R4W9oaW6D9yI9kOhFjYDt1VA41vuARu7i6S2ldAF8oytiCNLLctg6F0hgwh+e2tjQiTBD7ARgR3Yu3q1lugxHSrTHwarG/+aZ1Sb+FhkCYHLedQRkOTh+dC3TsRqoPtBKNQPJnN7bAQ5bLGo9jlJQ3Mce0HYDRkZ1MOPxql+t/QIJoJLin3NKflDlV6a9kc/2n+vtRbWGmhKrwQCiK2VmK0+zBZGliY/X6do+1u8qLhQiWWFCJRn+nrL6lGKwzS+N/2yv5cEcVb2083OE2AwUpJc+u1HzXR8L7W8tZsr2S/TWpFeIZ1PiCZLt00XBYki0NXzOv2v4fXze/mZJo1PpC8bYynFYKMxxHFAwvKdd87eML02kOx7qMDfQWRl81S8PaoWjUepMzzoxaDW8wygST9vkVRA4Ra+48e8wbjFBsainNmm9amyQal9X+i3vr7gCgMMNBjtvWoRsp7p7SXWatRSPbrSUnGIK8o6KJ2aZtSJuHypxZfF88y/79+zrtbziqLRoFxC3AUCSGR/riNRqRWITbP7idP236KSZHWfL8U7p7qqa5BpO1nvmDv4CMWVlR8UGbYy0tqeTKhz9liEu/HjYPL2x/gS01Wzrt44mCEo1uYlgaTquZww2Bjrer1957ZuX+Y9KvY8GGg/Up3bG1pqopSJ0/zO4qbxtfeLU3yIEuxGBPlZb9cqA29bUUAqEozeEY2R4bHFpPli2WVNyXV/EJ00y7OdO0sUvRkFJq7imPLf7a2IK0I7Y0xg1Ki2d09WYwvNobZH9N+9fI6Kt2V26jzh9u18qp9Yfw2C3kuLX+Ge4pfzDCeHEAaXFgQlLQvKfDfkgp8QYjDJLadHNNudOYY9pO2FevbeCv5bLmVxgb3ASNhxBCMKU4g01lDRAOwOGNSe0ZfTCErLVoTBW7mFDgiicnbC9v4lRLCWLoKfjP/S1Ogpg++EWn1y5R0KoTLA2X9MUtjf9s/Q+bazZjEmZs2R+1ZIMZVeHAQd8OAKbnzyDSNIH1tcuIxLTvvDfk5aZX/x83/2cRxVkunr1xknZ9LFZ+s+o3fHCgrcCciCjR6CZl9QFyPTaGZrs6tTQMcVl3oL5DX21fYu3+Oi77+ycsOoIqZuMOUErY0soF8bNXNnHdYys6ddPsqdLuarsSl0Rq9ABpkbke/nk2NzQ9RlOCYM2oegWA8aaDXYpGUzBCOCrJcbeIxqyMRkZUL+2WeykeVyhII0cXoGpf7wXD73xpE19+YlW77+2oaKIo00maw0qW20YoEms3s8e4c093ajUWhnsq0OxntDiEGH8RAEPDHYtGMKLNy5Qfq+RXOVncUzgEq4jiPrhU22D1YzjQr/l+zdVzUlEGOyqaCC/7Izx6FjS1pLQ3BMKYBAzOdMafgza1yaDATr616xtcGHoPXyhKaV2A8sOljKQUhp3KkLHTeZKLGX7wVdi5qMM+J8ZbahIsDVdME419Dfv424a/MW/IPBaM+AKW9I1U+vXfgrNFNA4HdiClYGLOBCJNJ+GLNLCqfBWRWITvfvAD1ja8yqhRn/HiN0+h0KFd2zWhaqIyytzCuR3270RCiUY3Ka0LUJTpZFCGo9OYRll9gHPG52OzmHh25ZG5ZU4k3t+q/Yh3V3W/qC2x8GpTgmjEYpLlu2sorQtQWte+1RaJxjhQq4nF/trURcMQghG+z0DGOL3hDTyBQ9qbDWWc5F9BgymDPNFAoL5zITRcNlm6ewopueLAvfzN9CCBw9tT7lM8rjAojVz9Tr46xYr0rvCHIizbWcX+Gn+b6VJA+wyMAL6RitqeWBqikebQtjHcU+7GPVhFFMZdSNDsYkR0X4d9MYTGHirllTQP7/u2sFekk1W6BMLNyJWPsCw2haDZDfs/AWBKcSYxCaFt72jTcuxuueuu94dJyzjMjz6+GWFuallboznMHDSXzsTKtwDNosqqWqPtOOw0zCbBhwU3cdg8GJ65ChbeSLBqO+Fo8jVKtDSMG45gJIoj5iVmT+PuT+/GZrLx87k/5+qx1wGSFTWvazu4WhZiqg7vQoQLyHalEfGOw2Zy8t6+9/jt6t+yumI5sYgb6dqO226BoPZbWuE9iNPiZGre1A6v6YnEgBSNWEzy01c28er6sq43bkVZfYCiLCeDMx0dWhrhaIyKxmYmDU7noimFvLq+rMtsk9b7f+/59Wxqx8d7z5tbeXdz2zjJQ0t38Y9uzLPTEQdr/Xzj6TVtir8W6xZGR+4Pg1+8voX/lSTPgl9S3kSux05hhiNJNEoqmuIL/azc2/7UZKV1gfhUDAePQDQK69Zqs4hi4sbwQu3N9U9jJsbbuV8FwFbT+cBvBIfj7qndSxjcsB6TkMQ+/XvKfTLiCuMHtVgavVUV/tHOam0CPdoWuoWjMXZXeeMBfEP82ku7rfGGyHHbSLNbEKJlIaasphJtg0FTqHGPYZzY37IQUSuMmo4tkR1EhCAqIzzqGkXu4Q9h/dMIfzUPRy6lMnNai6VRnEEWjbiq9ZkWdi2Ot1fr90He82yu2YQ9Y0u83zW+ELP1gLenegMjxGGWbKtgutxKxOSAwdMBGDtkEBeHfk3szJ/wdulS5r15JQ+8e0tSnw3RMJtEgqURxRn18mqsjnWV67hj1h3ku/IZnjmESNNkPmt4B3/Yry/EVIuMxaiN7MYaGYrDYgZpZaRrNq/vep3ntj/HeUXXEK45k/LAXip8FRDSPqcVjbs4Of9kbGYbfYEBKRpl9QGeXXmA772wgfve3payn15KyaF63dJId1LtDbb7wylvaCYmoSjLyfVzhtIUjPDGZ4dS7t/G0gZe3XCINzcm79McjvLEJ3u5/53tSQVONd4gf1q0kwfe3d6u0HSHxdsqeG9LBQvXHIy/tqfKy+4qH3ZC8bv+9mjwh/n3p/v4z/LkOM6OiibGDfIwuSgjqX+r9tbyA8tCHrX9kdV72l+1cU+1djeW67F3KxBuiEZG1WoYdiobC6/kMpYSrdgG655iOVPZn/s5ANwNOztty6jpyHHbNB/bB/cScBXx38iZuLYtBG9qK04abroxBWnxTKzeqgpfvLUCq1lbVq+kPNka3FftIxyVjBvkgY3/5fTFCxgpDrVradT5Q2S5bZhMAo/NEo8n5Pp24cfGH/a9ydqMIsaLA/g7WJ/EiFstp4IiaWaIZzjLPAJbuBEW/4JQ3hRWOc08luUmVrUdfNUUpDu40L0dv4B1g8Yhd38AMe23VRJ8hZilgjRrGrb0bXFLo9bbzGzTdpYNno3fZObLruW8s7mc2abtBApOBot2jU8qzqAmKrktUsNPctLxCxMfVX+W1GfDVVeY4Wipn4kEMcsI7wXLGZkxkstGXwboU6PXnEEo5ueVXa9ogfBoiMP1uwnThCM2HIdVKwAc6TydiIwwb8g8Pl/4VSK+cQB8cugTCHqpMJvZ4z/cZ1xT0E9FY1+1r1Nfs+FiOW10Do8u28PNT65us0pZe2hV4DGKMp0UZmhTRLe3LoHhainKdDFjWBZjCzw8Y7iopISazi2CVfpdd+t1G3ZWeJES9tX4+TShgvbFtaWkResYZvfy89c2dzjXjj8U4dPd1Xy6S/vbVdk2kGu4kp5deSDezpJtlYwXB9jk+DpDK5d22O8denur9tXGhTgWk+yo8DI1J8qMAgt7qn3xa12x7WNus7zG502ryd25sN02jSD458bmcaDWn3IModYXIptGbLU7YNipbB31NZqxwXPXQmMZT4bPxppRSJNII9vX+edhDK7ZbhtsfxMOrad8+u08HL0UEQ3B6n/Gt43GZIexl5JyLa6Q7rDisJpJs1tSrtWoaGxu1+1kHPOD7ZWcN2kQbpu57ZQa+vMp9kp447u46rbzlO1+AjWlSdtJKanxheKxm3SnNe5qGty8ixfTivnX1n/zgHU3QUuQQPW+lp0bD0FQO443GEGYvawzBznfls/nh55Po6uaMosdQl52T7wRx+CFvBzdzt+yMuDAcgDOdm7iq4WF3OgM8COPiYb9H7OtZhsV4h2yY6dyxZgrkI7d1Pq1GGHo8FZ2OsN8217OJcOG4nJ9SixQy0SxHzHyVDZUbuCJzU/wevm9eEbfz8eHF/Otad/i++YCDhGm3NcSNzFiGkWZThqbIzSHo7hiXsLA+uZK5hbORQhNlK1mEyI0jDzrOJ7e+jRhPVC++bAWT0oTI+K1HPmW6Tx0zkM8cOYD+EIxYsECchx5fFz2MQSbWOnUxpG5g5VoHDfe31LOWb9fyu3Pb+iwRsIYiP587XTuu3wKH++s5v53uvZNG8HtoiwXhZnah92ei8rInCrKciKE4LrZQ9lY2sCmg/Xw7l3w15Nh7ZMdHmfVXk0QWhePGT9+m9nEs6u0u/lYTLJw5R7ecN/LEtNtnH/4YV76dGu77T74/g6u++dKrntM+7vwLx+3GYhKKpqwmU3sq/GzfI/Wj8XbKvix511shLk+tJBguP07TENwmpoj8ccH6/w0h8N8c9e3uHHj9eRRx5ayRmQ0wqUHf0+jJYfyjGl8LfgUlRVt3YW7q3xkuaxMHZJBMBKjshuz0s4xa5ksDDsNW3oBT0QvwFy/j5hnEIuj08l02zlkH8ngYMdBXWhxIaXbJb4P7oWcMUSnXM0eOZjyQfNg1T8hpAnFW5sOc/aDS9udwbakvImxBS3Vv7lp9pTcU6FIjEv++jE/e2Vzu+9vOFhPjS/EuRMLGDsoje2tZuDdcqgRlynMyKXfodzu4skzbsODl9mffC1pfWtfKEooEiPdKXlh+wu4HWFN4KVkSGgP/82wku/KJ0CEO/JyiRzS79aDTfDwqbDobkCb48uatomoEJyfOYmLRmrB8+fyxkPWcP4ZPowwB5icOYt/Zmbw2vYXCIYDPJ22je02C5cOvYAP3C6u+OTH/OSjnyBiHsbbbuCsIWeBiFAW1I5rK1vBC2ke0ixucpx53JtrYdDwP/HVwjzOKn+FL73zJf649o9UNZci/Ccx0/Z/3Dr1VmamDQdgfWVLDYUxVhRnaRlah+oDpAs/W+w2AjLCrEGzkq6p3WJivONyyrxlPFy7DoDN1ZtAmkk3D8VkEppFEolxRvEZOC1OXYAFcwpOZcWhFUSCjaxwOMiyZTA2a2yX34MThX4nGk+v2I/HbuGNjYe4+pHl7Qar91R7SXdYyHHbuG7OUK44uYhX15dpA+iGZ+Fg+xkoLRZEi6XRXtqtIS7GNpefXIzDaqLsrV/DyofBlQvv/AQq2wpVNCZZs68Oq1lwqKE5Kb2wpLwRm8XEDXOH8f6WCiqbmvl0dw0zG95jcLQM07C53Gp5g/mLz8P76WPxhWEMPtlVzclDM3nhlrn8/KIJhCIhthxqGWCM7J4rZxSR6bLyzMr91PlClO3fyVnhj/C5iplq2kP11qXtXp+S8qa4i2SlLnwl5U2cbtpMum8fDl8ZT9keoGTfQaqXPsx49rJ5yk9omP87PAQIvP3/2n5WVV5G5nnihV2duccSqfWFOMO+AywOlkQbCIlq/hm5iIgrn/opXyGChWy3lRrXKIZG97e5VsltBXFY4cfvXs+FziYOnvpNMj1af9YXf0nL0d/wjNa/Gh+RmGRXq4SBcDTGniofYwe1FHLluG0pBcLf31pOZVOQD7ZXxuMWiSzeVoHFJDhrbD7jCtIoaTUv1uq9tfw24yWaqrdwy9Dh/L70dS7NmYvHtw+e+yJEEqdLlyxv/Cf3rrwXf9qL2m/CW8leW4B91gA3T76ZLw77DmudDv514AXtAOue1sTn4EoAfKEIrvT1DA+FGZc3mVFZw4gGhvCmx8PBa5/ig/JXiDSczF0zfs8c6eAXDZ/x9bdvYK3DwsTyqVw24k7+E8nCFQmyt2EvptorGGqDaXtXYZFuqmPaIC2rlrPE7eKSUZfz3CUv8vOaJoSlgWaTiWvGfIE/nvVHll69lDcuf4MFxd/jky0uGvxhxmWNxRWLsfZwy+/ccE8VZWkZWofqm0nHzxqH9hueUTAj6ZrbLSZyTFO5bPRlPHZoKWvtdrbUlWCLFeO2afu0XrHQsNrOHHI6TeEmNjbuZYXTzpzCOZhE3xmKj3pPhRDnCyFKhBC7hBB3Hs1j7av28dHOam45cyT//NJMdld6ufRvH8fv/A32VPkYkeeJm5vXzxmGPxSl5JX74dVb4akFULqmTftGYd+wivcZuuFBbIQ7sDT85KXZ437NDKeVe4as4/zyRwlP+gJ882OwueHFr0I4ef9thxtpCka4cEohADsTXA0lFV7G5Hu4Ye5QIjHJf9eUsnDFTr5nfZnY4BmIL7/OgavepSQ2BM/7P4Q3bo8PCPX+ECUVTcwbl8+oQslK/+/wjL2H13a8H2/fyO6ZUpTJVScX8/6WCv679iA3mt5BCNhz3r+pkWnYV7Uf/C2paGJKUQbFWc4WF1t5E9eblyCdOYjrXmC06RBnrP4WGcsf4KPoZAaf8kVGTZzJ01zIsP0vJQl2daCand7lBNNf4dl992LLWcpHB1YRiqZQwe0LMUts46PiyXxv2Y/4w9av0Zz7KauuWMyusV/B7NnKm4f+yHMZXkptEWJ1HdfT1PrCePJW8knTbppMZr594HXMZu07VWKbBMWzYPnfIBaNu5taB+33VfsIRWOMH5RGQ7CBe5ffwwjbVs6sXQjPXw9PX458+nJ2/uE8tq9KTg19ZsUBrGaBNxiJi3EiS7ZVMHtENhkuK+MGpVHnD8f70dzczMmHnuG8wOv8cPQ0DgZruXjkxdRl7OGbw+YjDyyH5X+NXzNr5mo+q1/M6MzRNFhWUBHeABWbeCojHbu0c9noy/jcsAVc2BDlxeAOFu19F1Y8pHWkchuEAxz2VhF1HeQ8nx+RNQyTSRBrOpmayEF+tPo+TFgIVp1HttvBg0MupjgSZn39Dn5eXcuu+gvYWNrApJHns/DAAZ495xG8teO4rvReLO/dxaRIBn7LZqLRCKsjW4kKwbUTrsbszODz+fN4v/QQDzblc8fcu5g/bD45Tm0W2utmDyMYifHSulIsGUOYGgyyvrzlN95iaeii0RAgTfhZ7bAz2l1EliMr6ZrbLWaCkSh3zr6TYlcBP83LYUvTAcyhIbhs+uy+rVYs9PkD3G99nNNdhZiFmafqNlJlsTB38KkdfvdORI6qaAghzMDfgQuAicAXhRATj9bxnlt9ALNJcO1kF/NjH/PR+Bd5Mvg9Ni97NWm7vdU+RunTJIAWKLstZy0zS36PHHcBePLhmS9A1Y6k/crqAuTZo7gX/Rjrp3/kH6772FuxnNKmZN9wmR4sj7PnQ646/HuWRqfyQtGdkF5I8NK/sNi7h9+8cmWSb9XIIvrSnKEgIqw4uIM15Wso85ax53AN94fvZ+Rnv+e0kZk8+ek+8kqepZAaDp3+Ld7Z9y6L2ca94+Zybc7J/HP3K7zx9Lms2beE90u2I2UUe/p2rnz9StZXrcYcy+TNivt4dOOjSCnZeKgCS/p6Vjc9zqjh+4nEwjzy/nq+YPmA/42bx/ONb/OTtCmUV31MuCK5etWYJG7coHRmj8hm1d5apJSUl+1lvnktYvr1MPY8nsy/kxHNWzFFAvzJdgsj8jxYzCY+GXITT6QVcPu7N3P1ixdwxvNnMG/hPMK5/6I0soQD3p3Y89/lX3vv4MwXzuSlHS91Gt8INtUxNLqX31ubGZo2lBl5Z2LPW8JPVt/Edz65HNeQp9hc/ynL2MEXigq5bNHN/Hndn1lWuozGULJ7p9S3m2D6G5wVjPGIaxIHvQe546MfkeYQ1AXCMPdbULcPdn8QD6K2DtrvqtQsj9F5Hn754U94YcdCaL6PW5sfh4otEGwi7GugoOEzmt69Jz7Y7K7ysnxPNa8UPcsvbP/hgy1lHPIe4rOqz6j0V7Kv2suOCi+XDQvDS1/nqvU38WPL85R/tgi2vob8+xzuMv+H/xsykZXhGn5xyi+47/T7cPjnsUps5U+jZ+Bd9nuoP8BnlZuwF7zO5KxZPHfRc7hFETXOZyk5sIwlLicjbfNwWV24bGZOrypkShh++tFdbAmUw/QbtFTZ8s1sqlsGQnK+zw8ZQwGwBqYhMLG1ZiszMq5ERtLJcFrJGHEW/zpcwWNVDVzjHoE5fRCbSuth9HycsSijqw9xk3ibEQ0rwFPANfU7kSYf63e/zRsuE4OacxiRMQKAtDk3AOAYfUab78PEwelMH5rJMyv3I9MHM705yM6m/fHPOi4amYalEcCDl/UOO7Nyp7Rpz241adOMWN38Zs7/o8JixhcLIYNDcFq1GpfWKxZm1W7gWvMSMtY9zdS8qSwJalmQfSmeAWA5yu3PBnZJKfcACCGeBxYA7Tvde0AwEuW/a0q5fdg+ch/5MuusJt7KyGL5EAun7/s5U3fnMWjUfPyhCIcbmhmZp4nGx6Uf8ZcVv6Y5cx+r3SPIzx7G0OLRsPlFeOkKpp75c86dcA1CCMrqA1ztXsqP3bCkYDghAhB4gEWvPMjvPvd7zhl2DqCJy6QiLTgWDvlY8e7trCocyqvyJCKb/saWqJMPD35IU0EeBA7w6RvX8O8FL5PjzGHV3hrm5H3GPR/8mLTxJh7ZA4/oLndPgYWngw1M/2wDt7k/5fam6zkn7Q2+XziOD9bcQ0xqX1CXOY29rihbLJlALXz4PQDSxsNft8I4cxqP10cpqN3AD3KH8df1f2XxjpfZ7T2MsyjG0lLJ4rKXyRzvJN/n5CJnDo3BHTj2H6A5r5kvMgjnu9dx87Rv8bUpX8NsMlPZFKTeH2ZcgQenzczL68rYXeVjRNnLbLRbWZ+RTmjDw2wdks4Xa79IpsWBpzidbbXbWH5oOZvs/2ZVrp0hUcmwqp1MdheSln0W/s/2cquzlOyKHXw3eiM1QwfjyFnOL5b/gmWly/jFlFvJyhvf5vswuGkjL6e52BNp5M8z72GIfRbn/2MkoyavwmnOZNXm4bz2ja+zasdWTCuu5LXCfP69+d88Jh9DIJiSN4ULR1zIvCHz2CkfwSYc/LJ8H9kn3cYvcr/Izz/5ObbCKJW+r8D4i8GdB2ueoMZ7O9DWjWas6bC1aQmLDn/CiHCE9zxuPq78Fh9/54eYTYJPtley9umf8iPxX554ZylfvfQcnlt5gNnmnUyufIPhZsGvDpRw0csxIlIb5EyYGTfcTu5npcRCMRy5E7jO8jYfLV/Myw47B9LS2Zg+iWZLE1+f8nUWjF6gXZ/Y1dTHIjzBR/y7KIdxr19JqdmNjLr56ax7cTQ3MtP1DT703s1XD76OCRiXfhmgramxMzacvxxaz/VDivlOYSHPzr6ZQev/w+bd77K+YRmZQSejw2HIKAbAac4kzTwVi6OC0Y4LWSIO4rZZoHgWudJErrcBpp7DFFcGG8saoOh0sGdgWvkwP7asp7TgHIov/TnzHjsbU66H367/C2VWC+ODp8evsWXUWXD2z8k56Zp2x4jrZg/ljhc38lljATOag0gkGyo3cGbxmTSHY5ic+6mKtMQ0Ys5yAiYTswpmtmnLbjHFpxGZWnwa36hv5OGsDMK+YS2WhjXZPZXXqMektr3O6ef+kHWV6xgShSJPUbv9PVE52qJRBBxMeF4KzOntg0gpeWbtWqRlEeWx1zlvyGDKTRKH2YEzXMQL6bv470ff4+J95zAo/RTSXAco8G3mO8++y9JwNUPDYcaaXCwx57Or/GNWWSKQlkYsHOCp1b9mxv53uGvOT9nTuJZdOe/TYHZz5bgvsG1TDV+of5P/Zpj44dLvc8+su7ho/LUcqg9w8rgG7l3xNu/vfJU6dxSrMCPEKoLhKB8edHLWkHk0lI9n1o6/8vfB1Xzjzet4/JKF7Kx4iYacN8iNxfhWXSM7rWdx1WW3smr9a5Tt/y+rPFm84wkBh3GN+y3fMKXhMcNXJnyFi0ZexGDPYMw4OPmeRVw0PZdvTKnm8MZnKNm3Gp/JjycW47pANbbhZ7DRNosfln7CJ1kNvBoKs6A5xFh/HleOGMeKve/zRloGaxxe5sg0Lj/n98wdPJcL/vIOF1r+yUHzdv624W98cugT7jv9PvaU2wFJYU6UhuhObHnvctv/nqSycCthUQDbn2r5wIbo/6OLueZN7eGkrJms3jCd7y+4lHO9r8GyB2HPRgLSRqzwVAjV8KeKP/CfQzdxwxcf5enl9/HnnQu5eN8i8j2DwZ6G1WTl2vHXctnoyxgSWsdD+RnMzp/BvCHzKG9sJhoYyTVDFuBtjrDcu43cNCeDckcyptHOOXlFuK57k01Vm1hbuZYPDnzA/avu5/5V94MZFkQuJDu2FQZPZ8HQuRzyHuKhzx5ieWgTv11/NV8+6UoGrXgU4bkKcLQRjd1VXvKzmvjDmt8zO9DM78bfxPwDr1GXs546f4hcj52SiiYWRs/i+9aXiK75F8+OCLNw11KuHvwxD1HAs2mZNMb8XBoQnDt4LocrNnLIV857bhe352czOm0YI7PH8b6tHkxhMsxOQuE8RCSL7884m5sm3RTvT47bTqTpGn571Y2sXf031h1agdllpaDsXCa8/y3Y+z/u8kxho3kiddlbmNlkJ39IPgBuu4Vtcii5sSh/O3SILw0dxm2r72PioMG8sn8hDpHJpbXZWuzOpg3CDquZCeZvcu/FE/nje6WkOayYTEJ7f/DJULoKRs/nJFMGi7ZW4I2AZ9RZ2Le+xiGyKZnza4qLJlCdO48Zga2sFhVkRmM4nRe0XGSTGc68o8Nx4uKTBnPPm1t5ekuYe4MhLAjWV67nzOIzqW+uxzXk39yzJobd8T0O1eeCU6s3mlF0Wpu2HFZzS7q9ycw3mwULss5k3s5snAmikeieKvLp98reCk4zZ/AXYG6sb9RmJHK0RaNLhBC3ALcADB069IjaeH336/xx+89hMHwUNTO9cCbfHXM5Zw89m0eXlvHqR29yXuGjvHJwCc3iAxgGv6oFZ0zyPesgvjTuSmxTv8hP3z3IS2tLWfXT+WS4rES3vs7L73yTv4jNXP3m1cTSY4wIRXhoyneYOPvb/KR0Iw9XnMYrBR/w3cOL+Onq+1i2+Xlsw2tZVFePo9HGWd5GLsycyGlX/5dQxMScXy9m6tg8Du6I8NHOaja5fsaPKv+PB0QZV7x0EVV5DUwPRvnTBf+mfOEv+Ub9G4jS0zn5sxfYG0zj+9csQjoCrNvyAuvXPkpB2mCuu/pl0lotGXnGmFyWbmvgN5edR96Q+Xzpl+9x12w7N013Q9HJYLFTv6OKLz+xihfPGcbNaXVc9qqffQXZXHv1LM6o2MLpi+7Wiqy+9AqiWDP5h2cNZlPV9fzL9y3eHD6NX9ft4Ko3rsJGFp5xFfxopRa4t+eY8DflcJ2/ibTiG7j6wh/htrrZWV3KpY+8iTA183+XTKI4y0mRp4jh6aM5adX7rDjo59yLb4fpX+K5t5fwy7UWPrvxUogF2fS36/ly47/gHyu5sXIrczMG8S+3jVBDBYyaSKmvnLs/vZuFJQtx52yjwWTmjjl3xtfTAC2zp84fwmISpOlzLO2IFTOjpgSnxcnswtnMDoa4ddoMdqfl8Pbet/nHkkrOTfOCMMEgzVVx67Rb+XDDIPaG3+TZbc+yUJj5ocfNmd63+ZQr2ojGrqpqRP4zmCNBfh3NIPv0Ozh9seCD2PNsKN/O/NFT2VHehCm9kPDQC8gv+4Sfr/sMskALN9uZkDkKz4ZR3Gl5Dk/Fy1Skn8RTVZ/njgtuoHlwE09sfoLV5avJlqfh8M/kta9dz7RfLeLaWUP56uRJSf3JdFkpKY8yp3AOcy6cDv84neb9+7HF/ow4nAFzv03muhd4L7yZf5rS8dedgku/hm67mW1S+62OsWXy4Jm/59sffp/dTgs3hayUZvyWzwXvhMIh8eM5rWbCERuZjkwaAnvj05lrjXxec+8NmcN4PZtrZ0UT08dfQmzbW3wv+G2+n6EJ1o5Jt3PO2htY7bIx05uOGNTiZu4Kp83MFScX88zK/fwuLZOJlnTWVWhB9eW1z4OpGYEdV+EblNV/E4erltGhMNlpbS0BuyXZ9SRcORQG/QQjMZx6LNPZSjRGNG9jnX02J0c3Mn7/Wm6RGVxosqfc/xOFox0IL6PlvhKgWH8tjpTyUSnlTCnlzLy8vCM6SIF1MnMqRvFa6SE+POkO/nL+E1wy6hLcVjcnFWewPzSOBbMe4ZOqZp6scXFx6RjuHfsV3rjqPW6+YTG2ubeCM5PrZg8lGInxtadWc9uz67h9QzGnFCzgzX17uCb/NM6vN/NYjYmJM78JwKAMBzt8TiwX/Y2/L3iRecLDIv9uZkaq+XbafJaKEfyu1se8Cx/CZrbhsVu4bHoR72wuZ8WeGh64cgr/+No8Hqz/Cf9XG6M2XM+ljX7uPeVhsofMYe2s37M2Ngbxzo8xRQP8xPQ9CnOyKPIUccmcH/B/X1/PN774VhvBAJg/oYDyxma2HGpk3f46ojEYO3EqDDsFLNoXdYruQltb5yQ89DS2VsfiVcMUTELc8CLiJ3sRo+bF2x2W42JFQybykj9z8d61vGgZxZlFZ2KLFWLxncqPZ/2YJ857gjMsf+c3+5v5cg18bs4PyHJkYTPbmFQwksGOybij07hhyoWcPfRsxmWPw24xM31oJiv0NF9c2XwcGkVBdqa2UprNxcfTfsvvw19ANlXAWXeRc+OnFFvv4A9lBzhvc4S8xp8w3nwLu6oPssoT4ywxmPHZmuvKbdPnUgpqopHp0hZnyvbYKJFDcDfthmhYy2j7z1XwyjcZlTmKr0/+Fr7quQwLlkDeeC2BQWewawSWmut564q3mFk4i/tys1id/ylpzibq/WEaAmFqAjX8Zd1f2Ov8KX7TPu6uqmLQBQ+CxcalI66FmJVnSh4HtCkwxg1Ko2Lqpdyf7yItkMn/lY5l1cEKVl/2NgsvfQ5n7gXcmP44Vd8uYX79nXw24mucc9qZXDzyYl6+9GWWXbuMebnf5ODhAjaXNdIcjjFnRHab70e2K2F6dIsNLvkTYWHjWfMCxO0b4Pz7eOust3godCXfDDpYG5ytLaqENhiWkUeFexyc+WNOGzaPG4bez1/s8/jhob3IYJTBohoyWn76if79xuZIfG4rAM74AXx3HVhsjNO/fyXlTTDlKpZc/Amr5IS4yIj8CcjGSVzg9eGuOylpPrBUuH7OUMJRSa0lj+kxC5urN1NSW8JW37vEGmdz2/TbiDi2Uh5ZRYXTy4yQBD1hJhEjEB7HlU3Mp313W9xTCcLSVE5urIqd7hkwej6m7W/wnWbBKHvbz+ZE52hbGquBMUKIEWhicS1wXW8fxHxwN//wLyM69iJMM25Mes8YGFc0D2XSHbt48vn1rNlXx29OObtNO5OLMrhqRjHrDtRR4wvR4A9zcegCVhes5ydrX8Uc9rF56s/JN2lfisGZDqSEyqZmigun8ucvfcqSRc+T//EDnFTxhNboufdARsudytfPGMn+Gj+3zx/DrOHaF+aiU6fyh09/xEOBJ3lWXsqQyVql8qiifG4O/YgPRi/k6abZ2BwT4hlfAFgTgu2tOHt8PkJo6ZiRqMRsEpw8LDkDJMttozjLycayhnh2z7hBrVYRcybvM1RfBrRqzBfIn19N0eJf8FvPN7i07itMdtr40sQ54K+luPZaCs1b+FXkRu4sSG7jy3OHa8timpJ/jJ+fOIhfvbmVD7ZXcPb4AvZU+RiZkLAwNMfNd6KXc9GX/8CEwnSeer+Ev+7IYYx7HmfXvsCzzaeSgYf/NlewyhVi4jl/jO9rMon4mhp1vjDZbm0QynbZKIkNwRwLawHpV78FkQDU7obqndRaigFJgXc7TDw/+frpixkVeYp4+JyH+deiu3io7A1Mw36DJ2bjvJfvJRhtJiqjWHyj+bdvOVNHXwgjtc93eFYeobrTWGteyhu73mRXdYy5o4fy/T0LMWPiT40+pkeXYZ5+XXwAnj+hgN+9V8KPXttDczjKLxdMSv5OoE1T4g9FeVmfJmd2O6KR5bbhD0VpDke1LL9hp/L9IQs5VN/MDfpn7vKk89foFYw//15WP7uOL+vCK4TAbbPyj/H/4u45k4jGJI8ulmyL5XKGLUZ2YwmDYlWQ2eI5sCfcdTcEwqQ7EiwNkzm+pkRxlhOXzazVJAlBTVRzb2Xo82Vluqz8MnQtr4nnuSRwKjd0UzTGFKQxPMfFYZnN9EA9T9pDfH/p9zFjQ9afz3UTFvD31c/hL1hI2CQ5uQP3kd1ios6fkP7syiFWr11vwz3ltCVYGmVrAahInwyTZmpFot5KyBndrf6fCBxVS0NKGQFuA94DtgELpZS9Pmn8rBE5mIedgv3yv7a5K8hPdzAo3aFlZKCl2xpB8Pb4/Rem8sEPz+KDH57Fq98+jYC0cp/rDohFqZMeYlOvj287KEMbtI1aECEEO22zWRC6h+ZLH9GyaubemtT+8Fw3//nanLhgAPzg3LE0e4byxaYfw6iz44PAuII0GvHw6rjf8a+GafEJ51Ihx2Pn5KFZLN5Wwaq9tUwenB530SRyUrE2tYdRODiuIL3NNokM1aenPljrh9O+B3O/Dase4dfV3+WWyLOw7U147BwK6tfzo/A3+DjnSmyW5K/Z188cyXfOGdOm7RvmDmN0voe7X9+CPxRhb7VWo2FgTI19oNZPOBrj+dUHOWtsHud971GsDjdPev7OY+GfMcJt5ZrrXmPK9PlJ7ac5LHiD4bilAdoPe795mLbBy1+Hyi1wsS42Je9Q6wsxiFqcoRoonJbUXrbbRiCsDbxCCE6d/GP+Xhbg0qCLcMPJTM2az02Tb+LeWU+yoLyIqc1+mPezls/IbSdUezrplgJ++sld2Ebcw0feu9lVv4v7iz7PTP9uTcxOuS2+z/wJBQB8uKOKb5w5ilF5rUQe4rUgr64vY3S+hxxPWxdIpj4IJ84/lbikLRAf2I1apMTvj9tuxq8vxHSoPkAoEqMxS3OBZR1ehp1gK0vDTLNeY9IYCCe7pxIwmQRjCtLiVe1GnZKxfYbTSqnM58VJD3GI3G5bGqBVuleLHKY3VANwsOkgo20LcJozsZqsTHF8FWHSrLBppvaXYjWyp+I4sxH6pIWGe8phSQiEl64hjJnGzIkw9jww27Vssz62PjgcgzoNKeXbUsqxUspRUspfH5WDFM1AfOUtcGa2+/bkIm2ufikle6q87f7Q2mNItovb5o3mXzsc/C7/N9wS+gGFeTnx943ivcS1osvq/aQ77ThOvhbO/03S2sIdkeaw8rOLJgAwd2SLmOR47OR67Hy4o4rG5ki3RAO0AWZzWSPrDtS1e7cJMKUokwO1flbtrcVsEp0KKrSsnra/xq8J9Ofvpfa0/yMkzZxe/hS8cL1WIXzjG/zPcS4TCzsXoURsFhO/WjCJg7UB/u+1LTSHY4xItDSMAr8aP0u2VVLZFOT6OcO0FOmz/x9UboX8CXDL/+KT1SXisWsLMdX5Q/GZXgHqXMOJYYLqHdoAPfOrUDAlLhonmfT0tVZtth54a/wxVjR/jl8d3kZ2xWlMc93E7SffTsCXw+dMnxHOHAU5o+L7ZzitmKWHS3L+xM2j7yPSNJHGSCXfPfm7nH7qnWC2wbgLIbdFYMcWaIWORZlOvj2v/btUw8XoD0U7/NyNBaUSF2OqbSUaaQ5NJIybIsPtApq7z6dPwmlMy/OjK8/CZ8/jQtNK/QIliIbFRFAfQBubW1karRhX4InPKNAQCGMxCdy2lpon0NLmAbLd3Y8JuG0Wyskh21fN6IyRFHmKKGB+3EIYnTGFUO0pTPSbyLRltdtGe+4pU7MWj3HpFplmXWnCIsvWsD02BKfLrVlVo/UbmnZcyyc6xz0Qfiw4qTiDJdsr2FPtwxeKdjkwJnLL50by8voy/rG3ALulkNyEhXgG6aJRnlAVXlbXqkYjRS6dOpgct51ZI5K/pOMGeeLzTMXjDSkyf0I+D7y7nUhMMntETrvbGO671z87xPAcV7wgsSOKs5wIkZBSajKxevD1fCM0nje+NpkpcgcMOglTWgHPfL0xPjilyqmjclkwbTAvrtVqXxI/q0yXjXSHhQO1fpbtrKIww8FZ4/Q42MybNVN/6ClgdbTbtsdhoak5Qp0/zIyEwdHjSeNgbATDctPgHG0qDMadDx89SFNdJVNMe5HCjBg0Oak949xqfSEG6RPdvRI9jdstL3Olcy0HaqcBsL+ilktN2zCPvSlpf5NJkOO2UeeLUmAeR7D8aj781vktn8FX3oWsYUn7CCF44qaZWM2m+CDX5jztFoqznJTWBdqNZxjXElomYwRtCvgkS0MfoA/rU6K4EywNl90cn83WGMBH5nlwD5vJqB3vaBu1tjQS3VPOjoeecYPSWbimlGpvkHrdKjGsb0M0jKmAso/A0nDbLRyKadflwek/xJo1gntfq9BmpgXyPHaCFQv4pe1TGN3+TY/D2pJyC2iiEQlgJxQX13ggPBaFsnVsiM1tsdYmXQYlb/W5pV6hH04j0h5TijOQEl7foM0am3j32hV2i5lfLdDM7qJMZ5L/ON1hxWO3JFWFG1OndxchBKePydWCvgmMK0iPT/43rpuiMTrfE3fpzBre/h2TIRr1/jDjB3VtFdgtZgrTHUmT8hl3hSOHFMGYcyFNc6GMH5ROfnr7A3hn/OzCCaTpP67WVuHQHBef7q7mo53VXDtrKBaz/hU2mWDUvA4FA7TBtKk5Qp2vxT0F2sDz07R74Ka3wGLjwx1VfGqeDTKG58AHTBF7ieWNbxNDyoxPMa4NvDXeEPtkIdH8SVxkXhkXVkvpCpwihGn0uW36lOOxU+0NsaOiieE57mTRLp4B7tw2+4zOT2NYTuffYeO7kugGTcQYbI210kORGE3BSJK7x7A0DuszKiSKhmZpaCKwp8pHmsOi3VAlWmOJloYeFA5GtBUVO3JPJfZ9R4W2dkbitg6rGbvFFK97ORLR8NjNlMa038NIaWJI+hCawzEc+mBvTFufLnzgzGi3DXuram+c2nXOpin+GWrnHIXqnYiQlw2x0fF1Shh7PngGQV7fmXPKYGCIRsLdNJDkJ0+FM8bkcdOpw/n8pEFt3ktcjElKecSWRkcYgen8NDtZ3fyBCCH4yqnDuXx6UdIgmUiGyxoXllQtmaE5rqSU0pKKJoZkO5MGlZ6Qn+7g7ksncdroHPLTkt0Pw7Ld7K7yYTYJrpk1pIMW2ifNYaGisZlITCZZQDluG/v8TrB7iMUkd/z3M65/J0iTNZeCQ0uYYtqDqR13lzFg1eqiUe0NYjEJxMTLmBDZRqBam9m4uOZTwsIKw9vm++d6bFR7g9oiSd28KeiMC6cUcsHkQfHV7loTX4hJ77vhpspqJ6ZhfL/die4puyVuaezRY09CiBbRsKWBIzO+vRbTiMbnX0rvRDTG6t/5kvImGgPhNttmOK3xyvsjtTQOhPW+NWpjQiAcxaHH3oylbtMIYHJ0JBqtYhqFJwFwq+X1JEsjEpNEDq4GYIMcFRdiHOnww+0w+cpu9/94MyBEI9djpyjTyd5qHw6ricIjuPv9xaWTuPOCtpXHhRmOeEyjIRDGF4rG56/pDYyBvLvxDIObThvBH6+Z1uk2hqimeoyh2a6kVfS0JUxTj12kwlUzinnma3PbZAYN0eMaZ4/Pj7sHU8Vjt1Cuu1oyE2Ia2e6W9NPNhxqobAoybWg2bwSmMLJ2GTmiCVHUVjSMgde4W6/R3TumyZcDMM37Mc3hKNOCaylLn56UrmuQ47ZRVh9gX03yZIY95coZxTx8w4wO349bSb4WK8noj4HDasZmNsVnFk6yNOwW/AmWRnxansHT9AMMSUpKcVrNBELReGC7s5hGnsdOttsWtzQSPytocVFZTIJ0R/dvVDx2C3tDuhg0aG7QoJFFhmZpmIiRJgKYOoiTGqIRn8qmaAa7R3+FL1sWkVemzR1mtBc7uJqILY09srBFNKDdVN6+wIAQDYDJRdqgNiLX0ybVsycUZTrZVdHEhoP1SbPg9hZjC9IwmwQTuhFQ7i5TizMBLVUzFYbluKlqChIIRflfSSV7qn0p79tTjBTc6+Z0vxDUY7fGJ7PNSrA0EtNPF2+twCTgiRtnMWTuldiE7oJox9JoM/D6glqmUu4Y6tPGcL5pBes3bWasqZSGwWe226ccj52qpiAx2X33Y0+wWUx47Ja4pXFId0G1zrRKd1qI6O5RpzUxEG7GG4zEp+WJu3w9+VosI2t4Ujt2q5lgJNYmG6o9hBCM1YPh9f62mVaGiGS5bW1uKlLBbbdQG7YhHRlJloZxfrkeOx60myKzqwNLQ982FG2xNtaP+S4bYyMo+N+PoKEUh1UbXkXZWhqzpiAxJYtGH2XAiMZJ+sDYnSB4Knz9zJFkuW1c/chynvhkL8ARxTQ6wm238ORXZnPLmSN7rc3WXDdnKP/88kyGpxjrMe72731rKzf/ezVjC9L48qnDutird7hk6mD+ccPJnDW2+4WgnoQfbKIbxri7rvGFWLytkpnDssly2zjjvKuImR3ETFYomNymvdYDb7U3FE+UaBp1MTPFDppXa9OnWMZ9vt0+5SQkVhypNXmkZLqs8cyvVzaUkeG0clJx8iBp+OBdNnPSzZbLZsEfjCQFweNc/RR8/t6kdowBtEq3WjoLhIMmoDsqvNT7Q21Ew3h+JOm20GIxxdKK4qLRHI7F+5jttpEuNNEwdRjT0LZNdFF5I4Lvhm/DFAvDi19lbMVbXGlahqV6G9WZ2kwCaZ1YWH2FASMahgtmZDeC4KkwKs/Da98+jWlDMnl5nVbcYyzk0lucPiaX3HZy7XsLt93CuRMLUt5+mC4az6w8wHmTBvHSraeQn9Z9l9+R4LSZOX9y4RHdYaYluFeyWrmnADaVNrD1cCPnTNCmrMDqxDTxEkxD58ar6FuTOPDW+ILxz8lx0hWYhOTUw09xWGZTNGZau/sb29vMJobn9O73pisMt1xVU5D3Npdz1YziNtlzhvundbzKYzfjD0fZXWWIRsLvqujkpNRiIJ6ZZCxO1Zl7CrQMKm8wQmNzpI1oGDGOI4lnGH0HCLsHQaP2m20OR+PZaFaziSKHdiMgOopp6NcpMYMqEI6xTxYSvuAPULqaORt+yoO2fyBklIPp2qSH/cHS6PtnkCLThmYyKs/NaaPbZqP0lByPnf/cPId739rK9vKmpAGpPzI638PEwnQ+P6mA7549plfdfUeTREsjccAxHr+4Vptbc36igF72MMi2Cx8l7mssB1vd1LJUas7wKeyQxYwVpawQ07i8g3oCwzIZle9pyQQ7RmS6bNT5Qvx37UEiMckXZ7d1+Rl3xu5W6b0uuwUpYcuhBoToOiPRECMjPtKZewpImpmgI0vjSEXDEMCgcxCOqk2A5p5KzFwscoQgAHQSCAeSMqgCet2Kdfo1MPZsPtm6n7te2cQ/bjqV3RVWYHu/sDQGjGikO6ws+eFZR619rTCtrQujP+K2W3j79rZrFpzoGHd5JpF8p2sMPv8rqWJkrjs5zbeL4sxMl416fwh/KEIgHI3HBEwmwXLHGYwNPseujI7XSzAydY5VTCiRLJeVPVVenl15gLkjsxmd3zar0HAjtbY0jOebyxoYnOHssr7HcP1UNhruqc6v65iE+E6bmIZT+7yOWDT04ju/o4AMXxVEggTDsaRzKDREw95+LLE995Q/pMVFhBDgyUdmmTggK/Ha8mlqrkKItuLbFxkw7imFwiisynTZkqwjY+COxmSLaypFsl1W6vzhluyjhBjF+vwreDxyAbWD53W0O3l6SnF3Czd7gyyXjdK6AKV1Aa6b035MKj1uabQSDX3w21TakFKc0BiQK5qasZlN8UG3I9Id1nhCSVtLQ+tLTy0Nr12zKKMNhwhFY1y0735t+dtohAKbvgxvh5aG7p5KqAoPhKNJVfOGUDaHtVRjj91yRG7VEw0lGooBg2FptE7hTHdaMOsiYsztlCqGi8eoG8hLiD1l5hVxT+RLDC1ovxofYHCmkwe/MJXr2nENHW2MDLIct43zJrV/3mnxmEbyHbIx8DY2R1KKExqZSZWNQdITKrw7Y2yBZvm0EQ1XTwPhWl/qrdoNQqiulLNM65lS8QqUvA3LfscFo/Vklg5jGm0tjUAomlSlbwhlIBztcuqUvoQSDcWAwWPXUzVbFToKIchy2chwWpkxrP3K+Y7IctloCkao0AO8iZaGMVdWV3fiV84ojg+ExxJjpt+rZha3mYnAwBjoXK3dUwmWRyrFssYgW9nU3GXmlIFRt9L62hgi0t1iVwPD4qwza/HNSNUufml5knr3CJjyBVj2W/LKl+kd72AaEUvbQLjhnopvoz9uDkfxNkf6RRAclGgoBhBGILy1aABMLc7gipOLuh2MNgZeYw3wxDqHmcOzyHBa43UwJxrjC9PJclm5fnbH6dJxS6NNILzleXfcUzW+UMp33GeMziPXY2tT1T4mP40MpzWlaW/aw7CSqnXRcH7yAMNMlWyY/HNthuOs4bD7A7C6wdz+QG+IYHOCe8rfyj1lWB2Ge6q/iEb/OAuFIgWMO8z2stsev2lWS3VvNzAK/OKikXD3e1JxJp/d3X59xonArOHZrPt/53bqKjIC1m1TbrtnaRh35lJ2nTllcPqYXNb8vO18XUOyXT26rkbf66N2sKdj8R7mteipUHiKNoHgVU/AY+d26JqChEB4gqXR3No9Fc+witEUDB+ztPSjjbI0FAMGLRDZcQD1SIKURls7K7147JYus4hONLo657QOAuGJq9OlMi2PERSGrjOnjjZ2iwmzSWhzZ6UXEbV6uDd8fYtrafB0LdV69tc7aaNtINwfjsSnRYfkmIYRCO8P9I+zUChSwGwS/O6qqczsZtyiM4yg+u4qL4OOYE6zE52Oi/u058Nz3CnV6SSK6ZHMF9WbaCsPmvEFo3DuL9ldFaDqDWuy4J/0hU7b6Czl1iAxpqHcUwpFH+WqGcW92p5haTSHY+2ukNfXiVsarbKnjDvqVBc0SxyQU3VPHU2MBbkYex4VogpY1eH6JO3RXvZUa/eU2SSwmbUp4bVA+PE/796gR+4pIcQXhBBbhBAxIcTMVu/dJYTYJYQoEUKc17NuKhQnJlmtpljvbwzOdOCymdtUfNssJooynSlnm51I7ilIntrdWF3P0UEGWXs44tOIdBwI17Yz0RAIE4rGlKWhsxm4Angk8UUhxETgWmASMBhYLIQYK6WMtm1Coei7OKzm+AJD/dHSyHTZ+Ozuz2NpxwX14R1nYUoxDpQ4IJ8I9Qpue8siUsY63onC1hWpuKe0Ns1UNWnp2P1FNHpkaUgpt0kpS9p5awHwvJQyKKXcC+wCZvfkWArFiYqxoFPiUsD9CavZ1G7A3GI2pTzvmMkksOkD7YninmqxNAzRSN3SsJmN7Clt32hMEorE2ri4NNHQCj+VaHROEXAw4Xmp/lobhBC3CCHWCCHWVFVVHaXuKBRHj8y4aPQ/S6M3MVJQUy3uO5q4E9Y4Dx6BaAghklbvM6yV1u4pZ6Jo2I+/WPYGXYqGEGKxEGJzO38LeqMDUspHpZQzpZQz8/K6v0aCQnG8MYLhOf3U0ugtjEH5RHFPeXXRMAb87gTCIXnJV78+w21b95SJan1esv5iaXR5FlLK+UfQbhmQuIBzsf6aQtHvyIzPhaQsjc4wROPEc08ZgfDuOV601Qj1uEjIEJ7kIdVhNcdX91PZU53zOnCtEMIuhBgBjAFWHaVjKRTHFcPS6K8xjd7CCDSfCNlTLptFq9NAszQsJtHtKWQcVlO8Irwj91Siy6u/WBo9Tbm9XAhRCpwCvCWEeA9ASrkFWAhsBd4Fvq0ypxT9FRXTSA1jAD0RBk+PXbMAQpGYtmrfEVTy2y3m+NxT/lD7Lq7EjKwT4bx7gx6dhZTyFeCVDt77NfDrnrSvUPQFLpwyiGAk2mbKdUUyDqsZt82M9RivUNgeRoW7LxihORyLL9/aHeyWBEvDEA1r20C4gZpGRKFQADB+UDp3XXBkM64OJBxW8wnhmoKEhZiCEX198O4LWVL2VKhz95TLZj7my/keLZRoKBSKY0J+mj0efD7eGHf9vpAmGt2pBjewW1oC4VVeoxYjWRRPJJdcb9F/zkShUJzQ3H3JRMLR7k8/fzRIdE8FwtEjmp3YbjXh82kiuLSkkkHpDobnuJK2MdrtL64pUKKhUCiOESdSyqlHn4DRG4wecSDcYTETDGuB9I92VnP59KI2lfNGIPxEOvee0j+cbAqFQtENki2NWHzW2u5gt5pojkRZvqcGfyjK/Ilt11l39kP3lBINhUIx4DAWlfIGIwSPOOVWy55asq0Cl83MKSNz2mxzIlXB9xZKNBQKxYDDk5Rye4QxDb1OY8m2Ss4Yk9tuG85+GNNQoqFQKAYcbQPhR5ZyW+8Pc7ihmfkT2rqmoGWxJuWeUigUij6MzWLCZjbpgfDYkQXC9X2EgLPH53e6jQqEKxQKRR/HbTfjD/Ug5Vaf4PDkoVkdLsClAuEKhULRT3DbLXibI4QisSOu0wA6dE1B/yzuU6KhUCgGJB67hWqfttbFkYiG4XI6d2L7rilImDa/H82A3H/kT6FQKLqBy2amRp/+40gC4QumDWZkrpvR+WkdbjO2II3/3DyHU0a1TcftqyhLQ6FQDEjcdgvVumgcSSDcZbMwp53ajNacPiYXc4prqfcFlGgoFIoBicduocZ75O6pgYoSDYVCMSBx2y1EYtoEiko0UqenK/f9TgixXQixUQjxihAiM+G9u4QQu4QQJUKI83rcU4VCoehFEqu0jySmMVDp6ZVaBEyWUp4E7ADuAhBCTASuBSYB5wMPCSGUlCsUihMGt71lSFKWRur0SDSklO9LKY1VVVYAxfrjBcDzUsqglHIvsAuY3ZNjKRQKRW/iTrA0jiQQPlDpTZvsq8A7+uMi4GDCe6X6a20QQtwihFgjhFhTVVXVi91RKBSKjkl2TynRSJUu6zSEEIuBQe289TMp5Wv6Nj8DIsAz3e2AlPJR4FGAmTNnnhjLeikUin6PMT06KEujO3QpGlLK+Z29L4S4CbgYOEdKaQz6ZcCQhM2K9dcUCoXihMCtAuFHRE+zp84HfgxcKqX0J7z1OnCtEMIuhBgBjAFW9eRYCoVC0ZskuqfsytJImZ5OI/I3wA4s0tfGXSGl/KaUcosQYiGwFc1t9W0pZbSHx1IoFIpeIzF7SrmnUqdHoiGlHN3Je78Gft2T9hUKheJoYVgaJgFWc/+Z5uNooxx5CoViQGLENJxWM7qnRJECSjQUCsWAxBANlW7bPZRoKBSKAYnbpomFEo3uoURDoVAMSCxmE3aLSaXbdhN1tRQKxYDFY7coS6ObKNFQKBQDFrfdotJtu4kSDYVCMWBxK0uj26g1whUKxYDltnmjcdmUaHQHJRoKhWLActFJhce7C30O5Z5SKBQKRcoo0VAoFApFyijRUCgUCkXKKNFQKBQKRcoo0VAoFApFyijRUCgUCkXKKNFQKBQKRcoo0VAoFApFyggp5fHuQxwhRBWw/3j3I0Vygerj3YlepC+dT1/qa6r0pXPqS33tiL50Dqn0dZiUMu9YdOaEEo2+hBBijZRy5vHuR2/Rl86nL/U1VfrSOfWlvnZEXzqHE62vyj2lUCgUipRRoqFQKBSKlFGiceQ8erw70Mv0pfPpS31Nlb50Tn2prx3Rl87hhOqrimkoFAqFImWUpaFQKBSKlFGioVAoFIrUkVL2iz9gCPA/YCuwBbhdfz0bWATs1P9n6a9fD2wENgGfAlMT2jofKAF2AXd2cswb9XZ3Ajfqr6UBGxL+qoE/dbD/r4GDgLfV6zcBNUAT0AyUHa/z0V//ot7uRuBdILeDa78fCAJVwJ0Jfa0E/IBEyzk/bn1N2O4JvV+bW73+C/16b9Gv/4Hj+X3SX79Gb3sL8EAn3/09+velCvhLQl8PA14gBsw8nn3t6LufcA5lQAQoRfv9fPcoXu93gXrgzVavjwBW6vu/ANhOgOt9RH1NcaypomW8+lpHfYjv09UGfeUPKARO1h+nATuAicBvjQ8DbSB7QH98asIX8AJgpf7YDOwGRgI24DNgYjvHy9a/NNlAlv44q53t1gJndtDnuXq/2/sgnzgRzgdtdcdK9MFXP/4v2rn2M/XjTNH7uh14XO/jdOABoAFNNI5bXxPaOBM4mfZF40cnyvcJyEETrjx9uyeBc9r77gOrgLP1vi4D/qv3cQLwe72dmcezrx199xPO4SbgkaN9vfVtzwEuoe1AvBC4Vn/8D+DW43m9e9LXFMeav3VnrO037ikp5WEp5Tr9cROwDSgCFqB9edH/X6Zv86mUsk5/fQVQrD+eDeySUu6RUoaA5/U2WnMesEhKWau3swjtriGOEGIskA981EGfV0gpD3dwSv4T5HyE/ucWQgggHTjU6jwOA1b9OJv0vn4CXAo8KaVcD/wJcB3vvib0eRlQ2957xjmdINd/JLBTSlmlb7cYuLJ1X9HubtOllB/off0YOBft+m8DHkQT7OPa14Q+J333E683EOboX2+klEvQrMk4+vfmbODF1sdM7CvH9nofcV8T9u9srOkW/UY0EhFCDEe7u10JFCRcrHKgoJ1dbgbe0R8XoZlxBqX6a61JZbtrgRekLund5EohxEYhxItCiFM4TucjpQwDt6KZ1ofQ7v4e72j/hGu/Au1HldhX8wnS1664Tb/2Twghso7z92kXME4IMVwIYUEbFIZ0sH9pQl8/BNyt+mo7QfraFVej3ZF/Gxh0lK53R+QA9VLKSBf7H8vr3dO+dkXiWNPl59XvREMI4QFeAr4npWxMfE8fvGWr7eehfZA/OQrduRZ47gj2ewMYLqU8Cc3sfY/jdD5CCCvaQDwdGIzmm72rg80t6Ncezdd7Ive1Ix4GRgHT0O4m/8xx/D7pd6i3ovmrPwL2AdEONjfTcv39J3hfO+IDtMHvWrTB1ZXQ/rH+/XbFcb3evUTiWLOIFquuQ/qVaOiDxkvAM1LKl/WXK4QQhfr7hWg+b2P7k4DHgAVSyhr95TKS746KgTIhxBwhxAb979KOtktoeypgkVKu1Z+bE/b/VWfnIaWskVIG9fO5CLAex/OZpvdpt/5DWAicKoQYkrD/N9HurC6m5doXA42t+ho7Qfra2bWvkFJGpZQx4F/A5Rzn75OU8g0p5Rwp5SloQdMd7XyfKoBZra6/r1VfwydIX9tF/77/E/iPfg6PAaajdL07ogbI1C2lxP2P5/XuaV87xBhr9KePATM6297YqV/8ofmyn6JVphLwO5IDab/VHw9FM6dPbbW9BS2wN4KW4NSkdo6XDexFCwBm6Y+zE96/H/hlin1vHZwqTDifN4AVx+t80O7YD9MS3LwHeLCda/80WqA78ThPtOqrEQg/bn1t1c5w2gbCCxPOaTVQcry/T0C+/j8LLcNlbAff/XK0gKdAu0t/sVVfjcDscetrR9/9hHN4NOG9y9HcjL1+vRO2P4u2weX/khxc/tbxvN496WsqY02r672is/2llP1KNE5HMwc30pI+diGa328JWsre4oQv92NAXcK2axLauhAtI2I38LNOjvlV/cuwC/hKq/f2AOO76PNv0UzxmP7/F/rrv9F/iBItdW/b8Twf4Jt6HzaiiVhOB9d+L5pbKohm5hp9rdRfj6ANAtuPV18TtnsOTWDC+rW/WX/9abSYyC79nLYe7++T3tet+t+1nXz3dwIB/fq/kdDXQwmfS4V+vselr51895/Qz6FSP4cA2iA69yhe74/Q0k0Deh/O018fiZYZtQttULafANf7iPqa4lizRb/W/6OLMUtKqaYRUSgUCkXq9KuYhkKhUCiOLko0FAqFQpEySjQUCoVCkTJKNBQKhUKRMko0FAqFQpEySjQUCoVCkTJKNBQKhUKRMv8f67qA/qa6EtEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(data=GrowthRate['Hospital_admission'][-100:])\n",
    "ax = sns.lineplot(data=GrowthRateRollingMean3d['Hospital_admission'][-100:])\n",
    "ax = sns.lineplot(data=GrowthRateRollingMean1w['Hospital_admission'][-100:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And Deceased:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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78GnUtXkZmmmjMN3WJ5pGS3SFWz2xT3OEGzgYytLexxEauWkW7JawphErNIIhSSAklU9DoRioBEOSBxZXsGV//InmaOP0Bqh3eJlamgUktzP86RWVrNoTv2hfdzToE2tGiqlDGZEAY9kDwMS2pbh8QWzeOmoNaexq2Y3AwF6LxODv/F2GQpIGh4+8NCtFWT0LjXanu1HXNGKFhj8YwuENtC/1qpcQCTvCD4T0nJGoCKpQSNLk8pNrt0YyzTtqGmHhZDEZ4NXvwcaXuu3nQEEJDcUxw5/e38Z9C3fwypqq/u4K0O4EP2lkLpC8znBvIMjdb2zm/kUVh3xsWNPITDHHCg2Pj5HB3SCMFLesIQMHVm8Da1KyCMkQ0/NPxGOUNAQ6m6ea3X4CIUl+upWirJQENA1tMk/rQtNojZQQ0desc4Y1jVzMRsH+YJb2PiqCqsXtJxiS3ZqnwmawdOmA9c9Ac2W3/RwoKKGhOCZ4ZU0VD3+ymzRcNDkGxuS8t1ELt52d5EJj24E2/EHJF3sacft6zomIJto81aavWQFgd1eTKl0w9UoMMsBphnWk+xtZb9NyHs4eNh+AL0XnMQuH2+alWSnOTmF/i6dbf5EzKrzXajJ28mk0R0qIdNA07Jp5qi1k1cqaRNWfCjv4c9MsWEwGLEZDp4WYwsKp0K0L2yFTuhmpgYMSGopBz9q9TdzxykZOKU9hWcqtzD7wZH93CWjXNCYWZZJuMyVtBNWGqmZAmwRXfJlYVdkwDU4veWnWyNrb4fIhxR59Ip1+Pb6UfM4yriaHFrZaDZSmlzItbzoAu42BTqGu4XDb/HQrxVkp+AIh6p1d+4vaojQNq8nQabnXyFoaHSrcftKwkZdrfggGLzKtMKb+VDj/JJz7kWYzxdE0tPPkO7ZrG4ZO7rKPA4k+WSN8IFHZ4OT7T69hwbUzKM5KOSLn+M+nu9lZ6+Der/Xdl9zs8nHd/1Zyz0XHcVxxZq/aum/hDlrdfu6+cGIf9S65aPP4ueSh5ZEfbps3wJAMG/+cfpC0t1uZ4lh2WO3+beEOnl5RGZmjJhRl8OQNJxx2PysbXWSlaslfxVkpSevTWF/VQlaqGbcvyKcV9Zw6tiCh41y+AB5/SNc0tKmo1aNFKZX5dhHEiLFwIq7yszh1yysA7DKnclLeJNJt6dh9VirMJvA5wZoWaTda0wgLof3NHgrSbXH70dE81XG515aOdadcDWDL4rGtT9EcqMaY8qUmNKI0jXD+SVho2K3GTsl9YaGR27YN0gohLbFx628Gnabx9sYDbN7fypIddUfsHG9uOMALq/bFJCP1lk921LF+XzPLdna93nAiNLt8PPzJLl5bV33MFsHbdrCNiloHx5dlc96kIVw1axiPXz+LtB3axDMqWBFZeS1Rnl+5l78vrmBCUSbnTRrCmRl7mbT70YRKVHTF3gZXpC5RIrb3gcrGqhamlWYxa3jOIf3uwlVgR/p3MHXPf4H2p/pRod00pJSB2YYcez5pwoPT5KfZ4GdS3iTMBkGaL4PtFou2XncU0ZpGkf7g2N3YRoTGng84xftxJ0d4s1vrZ1aU0NiblsOqmlUAmOy7CdoLY3wa4fIo4SKIdoupU/RU2AyW1boNhiSHlgGDUGiEb9qwytzXSCnZWdNGSMLyXk7w0Xyi9zsct3+4vLS6Cm8gRLPLH7GrHmuEzT6/PH88v7toEndfOJHhKW7YuZg96cdjQMKXHyfc3so9jdz12ibmjs7jv9fN4HcXTeLH5lf5mfl5GvZsPPx+Njopy7UDUJRlS0pNw+ULUFHbxqSSLOaNzqei1sGBlsSuI3x/Tqx6ntGb7mOUqKJVdyCPZQ/1aeMASB13Ok5pZZNVe2qflD8Jo0Fg9eRQaTbhccYKqjqHF4vRQIbNFLE2xAiNfV9A877IW4c3iMVowLzkD1zc/HgnR3gnTcNZz2t2KwZhIMdSgjF1N4HUAi16Sn9QC2u54XLradbO5ilfIIQVH/bWXUljmoJBJjSc3gCrK5sA2FCVeAG4Fpc/btnieBxo8eDUnX1LKhITGlJKGrqJwZdS8qneVjhD+HAIhSRPfV4ZCfGrqHEcdls9Ue/w9piM1uL2x02UisbjD8ZkAocJhiRNhyn09jY4MQhizZObXwUZZOWY22iRqQR2LEqoraomF999cjWl2ak8eOXxmIwG8DoorF+h7dBDmGRjF9fgC4SobnJTltuuaTS7/F2u8Nbi8rNlf2vkz+WLv9/RZlN1KyEJU0oymTsmDyByL3fE4w/GPG2HTTjZLVsBmG9cTqvHj7PxAENEE61Z4wGw2uwsYwobrBaMGBiXMw6TwYDRm09ICHY1bos5T32bj7w0C0IIMlJM2C1GTSCHgrD4t/DoWfDuzyL7O70Bci0BqN1KXuAgIX+sb6njAkwBVwOvG7zMKZ7DhIw5GGzVNNmywe8Cb5t+bT49WVDLwbBb42kaIcaIKgwyyPq0LHzB5HjIG1RCY8WXDfiDkqmlWWw/2JaQ6SAUkpz5t0/4x+LEwgUrarWJOC/NypIddQmZgN7fXMPsPyxmR0387NVtB9uoa/NiMxuo1CNqDodlu+rZ0+DiltNHAbCzNv75estH22s54feLeWP9/i732dfo4rS/fMw9b2/ttq1bX1jHRQ8ui0TNhPnbwh2c+pePexQ68ahsdFGcnRKbabvxJcgfjyycxNLQcbDro04O1Hj88b3teAMhHrluRrsjdNdiDCEfdTKTrF2vd9nOR9tqmfG7hZGihNFUN7sJSRimm6fCAq6rp/TLF3zG+Q98Gvm79fn1Pfb9aBDW6CeXZDG2MJ2CdGuXJqpfv76Jax9dEXnf4PBhwY+tZScA8w3LaHX58VetA8CZMyGy73LLyWy0WikwFmE1WjEaBQHPUAB2NMX+duscXvLTNbOQEILi7BQaG+rg2Svh079Cai7sWxH53pzeAFMt+0AGMRCiwF8d016L24/dYtQeGIDl/kZqCXDxqIsZmTYVISRr0B8KW7VjG5w+ctIskTbSbCZ97ZB2weANhJho2MN+k5HvVDzJn1b+qYfRHhgMKqGxZEc9NrOB6+cMJxCSbDnQcxJXdbObujYvHyS4nkGFPvFfM7uM6mY3X9b3PMmv29eMP6hpAfH4tEL7kX11chHVTe64GamJ8ORnleTaLXzz5HLSrSZ2HAFNY2etgx8+s5ZgSLK+CxOgwxvg24+votHpY303Gl91s5v3Nh1kd70zZqLx+IM8taKSFref7QcPXfDtaXBRlmNv39BUCfs+h8mXkpNmZUloCibnAajb3mNbu+sczCzPZmR+u6OVbe8QsmXz18Cl2J17oXpN3GM/2HKQkIStBzpfQ1iQhM1TxVkp5NNEwfMXwKaXY/YNhiS76hxcMGko/756OvPG5LNyT+OA8FltqGqhKNNGfroV4WnhFzmf8IMd3yK08Ded9t12sI11+5ojWlKj08doUYUIBQiMPJthhjpstauRBzcA4MubSEhqv4WV6aeyypJOgV0z45gMAo+/gJRQiB1te2LOU9+mRWSFKcpK4btVP4ddi+GC++CMX2vO7MbdgBYoMdmwu33/YGwej8sbJE131CMlr5oD5BisnFJyCuXp45EhI6tC+lxTu1W/Nm/ECQ6QZjHRFtzH3Ofm8vD6h7XrC4QYL/bw27x8EILrj7s+8YHvRwaX0KioY/aIXGaWZwOwYV9zj8fs1DWHbQfbqGntOeSxosZBXpqFi6YVAV2r4rHn0CaNV9ZUxzU/fFpRz5jCNGYNzyEkDy8z+ECLm0Vba7h0RilWk5HRhWlU9LGm0eLy850nVmE1GyjLTY2MXTShkOQnz69jZ52DKaVZ7Kxp63Jye3bFXiSQnWrmySiB+vaGA8zwfM7PTc+yfl/TIfdzb4OTYbrZB4BNugnpuK+Tk2ZhafA47f2uxT22tb/ZHXGmAhAMQMX7iLHnsMhwEgFhgY0vdDpOSsmSHdq9EU/T2Kv7riLmqTTBI5b7yGhYDx/8CgLt5sx6hxd/UHLiyFzOPW4IZ40voMHpGxA+kA1VzUwpzoD374S/juPimgcokPWI5Q9A896Yfffr2tVmPSO/0eljikn73g2n/xKPNFNa9TbGmo3sC+WzwrmEmU/N5NyXz6Ux/SGk0U+pXTNZGQ2CNpnOKJ+fCkesZhCtaQAUZ1oYG9gOJ/4AZt4ApXrE2z5N63F6A0yUOyElB4CSDkLD6QtESoE0tuzl4xQrX8kYg9loxm5OIegexjrnHhBGqN0ChCvctvch1WLEk/EyroCLB9c9yMLKhXgDQdoydrMsxcKPjv8RRWlFh/09HE0GjdCoanKxu87J3NH5DMmwkZdmTcivET2xJiIAKmrbGFWQRlmunWE5qREtAdCeaHd9GOcYB+X6OsGvrYu9wd2+ICu+bOTcciPTG98hHVfcSSbM8l31HGzpLNye/WIfEvjGCcPgwAYutK1nT01iE26zy8e7Gw90++QaDElufmYNVU0u/n31dKaXZcf1mdy3cAcLt9TwqwvGc+n0Epy+IAfi9NcXCPHcyn2cPraAa2aX8dH2WvY1uiAUIrj4d/zH8le+Z3qT1A1d51S4fUFeW1sdY9pq9fhpcvkjUUmEQrDhRSidDdll5NotVJNPq314zHe1bl9zJ63R5QvQ5PJTnB0lNPZ+Bu4mxNgLsGfksNE+Gza9ogmTKHbXOyOTerzghsoGFzazgYJ0K0jJkE9+xlTDLlYPvUIzcax9KrJvVZPWTtiENakkC+jeb7ev0cUjS3azYMmumL8nFq1i7Rv/RCYYPRYKSd7ZeCBupGCLy8+eBhffCr4Inz0IEy6k+ZpFnO/9AyEEfHpfZF+PPxiJKFqvP8w1OH0cb97Hf3LyueiL/8ezlimMqV+IrW4DL6cM4ZXKh5icP5nJeZMJGVsJ+dMZm6klwBmFoJVUxvj8bPe0m4lDIW3N8WhNI8taydeLC/mPV49uyhsL1swYoTE6UAHDTqTVUkCZjP2NunxBUiyab+KJzf8jIAQXF2qCx2w0EHSN4Mu2nbTmjoQaTWg0On2RlQABGlkDKbu4raGJySKFO5feydamlTyf52OCIYMrxl6R0PcxEBg0QiM84c8bnYcQgiklmWyobtEm8lDXdvEdNQ7y0qzkpVljBUAcpJRU1DoYXaAtaj93dB6f7WrQzEkVi+DhufDkxdCwK3KM2xdkb6OLi6YVM2FoBk9+VhkzOW9f8Q73ib/x4w3zGbH8Zzxkvp999fHNau9tOshVj6zg9pdi7dn+YIjnvtjLqaPzKN35NDxyGt/c+wveDNyE+91fxUSKdMQbCPLtx1fxvafX8I8Pd3a538ItB1m6s567L5zIjPIcjs90UNvqiplMPP4g//5kF/OnFnHdSeWMKdTGKZ4v5/3NB6l3eLn6xDKumDUMAby0fAutj1/GZa5n2TH0QrZap3D2wX+Do7bT8aGQ5KcvruPHz6+LCVMOBxKU5aZq5aufvQJZt5Xt48/h/tX38+Ol12AtfJMd2TNhzzLQnZ4/fm4tv38n1v8SjriJcahvexuMVhh5OoUZNhab5oGzFr78JObYT3VzW0G6NW5wQ6VuQhNCwLK/Y9j4AgtMV/F01nehZCYs/RsEYpcsDWs844emYzYKTWj4XHFXr/vje9u4552t/P6dbZG/v76zgclLbmTaml8S/Ms4eOVG2Ley07HR3LdwB99/eg03PbmqU7DIxuoWzjV8wazKh2HqN+Dih8kaOZOsIeV8Yj9XE3z6vRcdvRQWdo1OH6GUXTyQkcLetr08UNTIerOHA979PFHoYFjaCP55xj/50yl/4pzMv+DceSeFqUMAMBgEfmFmtD9Ac8hLnVsb7yaXj6BeQgTgiwNf8GLjPVRYLDzcuIp6dz0YDFAyI3Lt0tPC0EAVFE+jKaWccvbH/EZduqaxsHIhj+58mfltDkblaJFdJqMg6BqBJMTavGKo3YyUmuAK+zR8QR+r2h4n1ZvON1rb+HtlBRnGFJ7YcxcOg+DnJfMxGpKnaOERFxpCiHOFENuFEDuFEHccqfN8WlHH0Ewbowo02/PkkiyGNXwKf58M90+Gj/8IrZ0dtxW1DsYOSWPu6Dw+rajvNiKots1LmyfA6ELtHPPG5OP0BTjwzr3wzKWQUaypqKv/FzlmV50DKWFMYTrXnFjGtoNtrNmrawArH2Xq4qs52bCZ0MzvIM+4m7nGTYxdf2+nc2890MqtL6zDZj/I0i93xzwVL9xSQ3Obg3tMC9i98A5+Vj6Omyacx+dyFLYvHoR/z4kRZGGklPzqtU2sqmxiamkW9y3cwXubOq9ABvDk55UUZ6VwxYwS+OgPXP3ZBTxm/iNf7mtX5bccaCUQkpx33FCEEIzWv4t4ZqynPq+kNCeFU0bnU5SVwjnjcpi36hbslR/yf6Hr+PiE0/lJaTYrbOB/9xedjn/gwwre2ViNMXUXa/e1C41wuO0ow0FCj5zOeweW8bVx0/h6xf94bPNjpJhsWHKWcZt5O5sMQWTlcmqcdRzwbmJXQ2yV0nBJ7Yh5SkrY/jaMOBWsaRRm2PjAN1l7au0QRbWkop7y3FRmj8iNG9xQGTahVa2GRXfDxItZmHu1ds5T7oCWfVo9IqKFhpacZjUZGTckg11792kPKo+cBv72STkYkizdWc/F04rZ/JtztL+7z2bz9LcZa9zNn4ZcyZOBuQS2vAWPntllBNgb6/fz4Ec7mTYsi893N3L3G5tjx2fr59xn/heBoplsnH0Dj295gruW3kVL9l/4dXqIPSajJvzQkusMlhpyMhsjS9vWORp4OMdJmcnOq/NfxSAL+H5hPt8ZUoCUJv7frD+TatY0xmy9hIfN0j65mgxGyoLa9qvevooLXrmAK9+9mJTSR/m8+TEeWvcQNy26iVxTOgsO1OCTQRZsWKAdXDpLMyV5WigNZ58XTaPFXs4IsR9vVBCNyxcEazV3Lr2TKWll/Lq+UXOmAxajgaB7GCZh5gurFZr28OrmlzGXPsRmz1Nsrt/ME1ueoDVQw8l1xZiAPFMaD8hcbFj4XlMLI8pOjzv+A5UjmhEuhDAC/wTOAqqAlUKIN6SUW/ryPMGQZGlFPeceNySyhu/UoRYuMf2PjVlljM4ux/bx7+GTP8JVL8DoM4H2nItLZ5QypTSTV9dWs+VAq5aR7ffAC9dA9nA4X4tqCJtjztj3D1j0JGcD261BrGsCtI3/Kk+OmsHurS/zy3VPk3PanWBOiUyYowvSKM5O4fdvb+XJzyopcH7Mu8t+y3tFI6k2FzEiVImxrYqi7JP4Xe2LsHoOTP8moNm0b3h8OdbCNwmkLcEUMnH74vUsmP8zcqRg/8L7+Ffm2/yz1c1bJUVYjX687q18WjyElvLHuHrdj+HZK+Dbi8DWnm3+32V7eGFVFT88fRTfP20UVyxYzrKXf03h4s+ZNPw0TDNvgKFT2FXnYNnOBn5xejHGF6+FbW+xqXQ2pfvXkvvaV+G6F6BwAqsq92Ow7WV/sJV7v6hkd/NuskosbDqYAYyInHdHTRsrvmzk9nNHsbtlFyaDkV8bH2MoW/iB73t8OdHD3vX3YTPa+cmQXCY3fsrNq//F7ONvwiAMvLvxAA8sWUbxhFdolXt4suo1Ruz6CecPP589DU5Gmbbz5fu3cEe6je0ZOYy0ZfGrad/nzLIzybHlMPOv/8KZ9yxXFxWSsexWmghiKYXaQAaVLZMpyxwGQHWTE0veQu5d/wSWTQZtYk71grkJ3roSp8hnb9vZyOlfRWx5Dc65B1Jz8AaCfLargUtnlJCZYubtjQfwB0OY9eibUEiyt9HFqaOzkW99j4qsIQw//68UvblXe6AYdQYUHa9F+kz9Bvub3WTYTKTb2leOm1RkoWTnbfw8vZmglJz9wU+Yd8792Ew2NlW30Ozyc+rY/EixPJb+DfeWl/je2Bms9i5DjEzh721n8YBtD3NfvxmRMwKKj4+0v6GqmdtfXMf4EXspKH+T43Iky3d5ePf+lRznaqI4GOTSoJ+ltlyeLi1h+fvavZqXkofdXMjB0HYuKi7kwsrXKfmiiOd2f4x9ZCV+4EDrRNYeHEKjeQEuo4F/DP8awzOHMyp4B6HAL9hlcWCqvITh2aWR/oQXVLJFlRE3GgSjAzauNBXQUqiVFalpdVFlrGBFw5ssrfMxa8gsfpVxCuXbb2GmfRYv7niR6yZeR3HpLEBC9WpG+reDAIqOx5H2BRnCTVvrQWx5JQC0+RrZn/4PsiwZ3D/sQiwbP40IDZPRANLMiPSJLPcf4Of5ubyz+jcYTDlsaH2bK95+HYDxGSdysmc/gcyhmKZfy4RP/shzuSdR2vwlviHtUWLJwJEuIzIL2Cml3A0ghHgOmA/0qdBY/uU+HLKS2SPHApowCFbcw23FRrZYJXZzLafPuZbztn3M7KX3YdaFRjjnYlRBGieP0mLM39+2E6M1BfnxPYjKjyjfuZCUsefCyNPZUdPGbMMWirf8B8acC3ljeX7DHt41utnqriC4aT0GDGzJsfLQmkcpP+EHbK9pxpq1lr9ueBtJkIIxDj5pOcjilbWQnYF051NuzyXLlkqjp5F3s6pYkVbOjz75FeM3PY8UgtX1rQRzQwQsbVwx9go+2lHFdvc7nPv8exT6vezNMRISRqwii2vGf4PrJ13PprpNfH/RT3ig5m/knfYjapfdx84XLqBmyAQQgmaXnw1VzZSOt7CNTL7zgYPatM28lhbkNSC7fjFnv/QG51mHkOFI50mLh5M2NdHmOMC9U87ijdbtMKyQ1JBkxBtfo8lio5oA9uHwt3WQgqAMMzLNx1LHJzzweDaTs0axs2AMr+zZg33ELv6zt55/V2q+gDFeH0NyTuRD405Mge1cf9z1XDby25z573s5WPA6N216iMJNCzgjlEpzc4iMEW4MlnRGBS5nl3spv1z6Sx5c+yANzja8o9u4FTslqUP4/fE/5Pzh58eo/wXm48iV/8fE7Idx7/uMYaZc/tVwFu4hH3LD+9/mqQueINOayTN7foc1fwWp5qmkWdK0MhHBEGQMwydgk/cjgukpOI6/ifQNz8HCX8P8B1lT2YzbH2TmCDs7m3ZiSP+Cu5euwRmqZ+aQmUzLOQVvIER566N8i1pWZ9sYs/hGxthv5GBLkKAE46l3wDOXwbqn2dVcSErRG9y0UMtoD8kQG9tW4RwSIMOQg1kGeb9+GanPzeWSMV/H1vZVAObo9zTb38O36Df8eORE1nhruWXaLWyt38WiysXcbPBydkE+v37+G2R+5yNIH0KT08sNzz9DStk7VFkqCbYORYSc1Oe38jOMkJ2HRRpI81totHjIatnFT6f/lAtHXUiOLYdnVuzlzjeWc81p63ir6i38Wx+n0DwW78H5XDQ9i3eCz3Ht+5eCDW5raGbCiLMByLZl0FR7G3cP3cEP3VMi+UYA2bp/ICVG0xAEjOn8UmbDvD8C8OraKj5eup7Xb51Dut1NQWoB8otHAajdcxLBvFVc9eJvuWvq7ZyFQO5dwfjQTppTi8lKzcGZoT3cBGt3QF4Jnx/4nIasPyNw8cDpT5K39kXt5LrQMBu1h9SRGVN4t2ode+ypXJ02k3+tvIiHrpmIx7KelQdXMi3tSsrXXo8nvZy02d+Dz//FyIblbJZljLHGL28yUDnSQqMYiDaoVwExxXqEEDcCNwIMGzbssE6ybt/72Ef8g99s+Cf/2zMMm4RtbXvINtoZYbiMKWVuFlUu4s10yAru4awPb+W8CVfiaNHON7ogjfw0K6Vla3l83ys8VqXb6YuHUuiXLHjnVkZ893N2H2ziHsv/eLFgGO9m29jZ+DFN+ZqpKTUwCUvbeVQ3t9FW9i+u3rqA76Sl83LNM1iG7mdvXQbZBgv5QjKEBuY2ulhhugOPdRJ/OXsKxVkpSCm55dXnWVL3P/5fbkgbLgnkQkEgwP25p3DirDs4x76dmtdWsDy7iSpbEc2No/jh+ZdyWtls8lK0iWJe6TxKPLdRk/JPbt/6KORkkutvpKh+KyJrGHsaHVgsQUpybTi9TVjqKzjf0UxB4Vzu/3IcMncrr2du5nnpJNfoZJ7VTJs9n78X5XKwrYJvT/o2L3/hxG6pxG7bQGnAz9wWGBEyMjcjnSIMGBB81uLgvzY3j6Q1QfNKaF5JXkAwzpDDnIyxjDbYadn5Ae/mDWWJtRozBn594v/j62O+DkBm6HTOEaOZGHqMd2njBdFKIAdOcbm5u8HB/px6vr/7Un54bSEf7nuTMbUrmeZpZdwZv2XmpKswG8wdbxdy7BZanAF+/s1nYMf7+F+4ngv9T3HNvm/SMGohN7x/A1nWLCo9G7G2XMQTV/4S8c5PYftqmHwFnPswUkoue+1GtoYWsjb4LeadeDMs+zubR87ht5vexz5yF79co90btiJ4b6+N/NRcFu9djOBPZIzI5t5AA3kpdr4z6XperniZXd47IPNsNtWMI2/oRDwlx/PsF/eyPsWGsAgcvgnaE7GjjjMczRhaxzP13H8xf5SFVY+cxJt5dp7a+hSpwVVMKP42uWlWqN2K/+Ub+OmwESwPtfLbk37LxaMvBuCTiv1857X7WFSwkHUmyY9fuIRd487mhT2f4smrJddawA8n/IQLd6/GtOkpWkaczm1cxC7PQXyGajzGGr5SOos759ykCVWdstxUZDCdc8tv40fShP/zh2hOGcotgZncedL5vPDRME6atglZ/SlXte2HfC0iKiPFxDpvNltzLsFk2B2zDOqJI3K5cEoRYwrbz2M0CjwGe0wZkfo2zQ9UmJFKRlirdmvrfFhSRpAZOJVG02IeXLmBswomENy7gkmG3dRnHk8W4NGFhqd2C390rOSprU9BKJ/TMn7FhHUvwdL7YPgpYNX8dWHtcVr2GQSNB7h+5YtkmlP5F0aGpOdw/LBLuGT0JXy2q4Hh4gCOtOmkpWTDCTfBkj+zWZYzwSASm+gGCP1esFBKuQBYADBjxozDCjy/Mt3EmJp6KqwWdgo7tUEXd7Z5WJn5T744YOK315zOXbPvYtnud3l34U95a9+HvLhvIXZjDtaCCbS5/HzvzWdpTt1CvjOPOx3bWB0azRtpX6Uh5QWusTv5+6JfMGyvkz8V+liemsIYv4PTh53OqKxRTCucxsTcieypd3LqXz7m57YLeNjxGn9Z9RdSAtn8psnLRY5N7Q4kawZc/iTfHXFqzHUIITih6ETe+iKNR76Ti9Hs5sOtNby4ci9Pjf2SoauehYZqptftwBNsZq37VtbUT+X0cQVcOm5ap3E5Lm8C9Ttv55FvFTMiawQ5i++Blf+h9oxvMWtJIT89awy3zCuFx86H2oNwySMw/isUbdjPD55ZyyXT87Bnb+elbW/yRsZOXpX1DLMM44kzHmBK/hS+3LGWlXuaePeOh2nz+Jn8mw/48RljKDlzdKQPFZ/tYeHrm3nplpGYAgfJ3vwp8vMnKTes1R4hAIqO5xuXvU51oI1QKERpRrtZYnJJJu/WGvnZbR8zx+Vn1r1vcMZxgn+cmI5Y/T9ydzzOUmuI+o/ncFl2FtTu4qmiuzhpynVd3i+5dgt7whFqY87h5elPMO/zb3N36AOWlf4fz1XdRa2rlhLfdykxlCIe/wpUr4JTfq75G/Tv6vpxt3L7Z9fwj/X3Mve8B/l4+yv8fNU9+GQ6WcaxXDftRPIsZfz06RruPm8O1500gl3Nu/jNh0/S5H6Di5odXHXVu6Tkj+PqCVdzywe/ZIN8h6s/eEfrmxlMJhPT29LIK/49f7lgHlR+Bo9/lVD5HCbVfBtTtYOvHT+R2fPuYvbbtzLt5O9xd/V7mLPvZ8muIMsX/5z3h2RTb/Rz5wl3RgQGwLxRQxllmY+ndSrphf/jl+5ajBUvMd5jYUhwGn+0+LG8ehvIIMy5lczT7+KRBBy24TDiykYXJ531O8geQd5bt/O48Q4yHWMpz8rHcfBsflr/EY6skWSbNC0iM8WsZYR7A9itpoipGaAgw8YDV8be4yaDwG1MA0+7L6rO4cVqMpAepaXgqgdbJi/dfApNnsmc/vwydol/snnoOCZsfocS4WZ1thaGHUwbilNa+ev+N3jPf4Arx13JC28O55a8BbBpGRx/LZz/F9D7FhYaGaYh/PXUv8LO9TQ0bwfOizGlZeAgRzjYkVLGEIDZ36dpxdMsd0/lMqGERjTVQGnU+xJ9W5+SN/1bnDPidM5Z8wSsfVKrATP/nzS3juTlrdsiNftPGz2f0za8haviPT655AH+8sVruHKW85PVS7GFQtzZ2MzlbXvZHCpnadZdvPvt07jgoeFYMn/PjTULsWVJfIZUfjX7Li4dc2nMTQ3aj6U0J4X33efwVO3jrM8vZ0b1Fvy2PAw3LYEC3XYpDNDFj08LFRVkiDGcMCyXpz5cyVDrEIZe+nMYPgveuR2RUcz7s5/kPx/7gQBXzy6L29aYwjReWm1iVMZksmwWOPdeqNtOzoc/Y6bxLi6feTq8+UOoXg2XPwXjvwLAVyYXsf1gG//4cCfp1kJKs37AC5dNYWP9RqYXTo84J0cXpvPauv04vAE2VbciJUwuja3QG440c7tymTt6HP/ZO4zf+aax9La5lGTrYbEGEwhBMRmdrmFKaRYfbKmhxe3nxdX78Pps3DxnDqIoE8achad+Lw/ffzc3NH0KNbX8M3Ah/hHzu71fcuzWSLE8gK2+QhzM4zrxJp85cnnugucQQnDtw1/yI/FHaNkKlz0JEy6MaWdCwTC8teexzfgaP/3s1yxKNzDB62Fs1QzyT/0lN04ejZSSX/Ieexs94Kxn5KY3+cuW5ykI7NeSzPK1KJwcWw6/mvknLvjPo1w7J5sppVkIBFO2fkj5nsd4ZVi9lvfw/NWQXYbh0v8x/rGt7WG3078F65/l68v+RbNlLI+U1HHz0p9jsUjmFkznksk3MK9kXkz/hRBcc2IZv3illWfOf4pg8AvSNyyj4MsXKRKvgzMPTroFpl8HOSNIlKGZKZiNIhKUwIzr+ckiN/f4/wyPXcC8IQ/yxBYnE6x7cOWeSbZ+XIbNjMsXpMXtjzFNdYXRIHAb7DHRY+HEvpjfprMOUjUNPNuWzVXlv+axij/wjdbVfN9u5voWN648LZTXajax1jCERb4DXDX+Kn46/eeMfPNihrd8rgmLmd+OCAzQoqcAAiE9sqxwIukbXgUkNnO7ppTl1nJWGmyan4TUHP4+8SU+HCALgh0KR1porARGCyGGowmLK4CrjsiZssvgjF/BqXdomb6FE5m8W4tFP/7/FgKa/fHpcy5h1sYXOK+1mZebLuG/LUvYlp3GhHm/otBawLeeXMMO81ie/+Yc0m1mrp15PP9+92Zmlv0Zp5ScVH4Pl429KG4XhBDMG53Pa2urSTv+a8xb9yTLQxNoO+M/nDM0sTLl0U9pU4dlRRyqAMy4HkacBqm5nCZTSFm2mLLcVGaUZcdtKzxh76x1MKM8B4xm3Bf9j7r7T+ZR2/1kfF4PG56H0+6C8V+NOfYnZ45hR00b72+u4fbZZWTZsphbMrdD++3RUeFyElP0HILIPro5oaLGwdzR+XxaUc+I/DRK8hIr/z65RNtvQ1UzT6/Yy/SybCYWtR+bkjeM9/K+ybr07/DbEwV/fqKev0Un9sUhN82CyxfE4w9iMxupbvbgTpuJ2fkaturljMi6hWBI4mhZzXjLKjjxe50EBkBhhg1/8yzKy7exsHIhp5Wexo8r9lEs3qCtNgUO3IQYMpmvZOzm7K0LYO1SCPqoEuP5oOh6rj75JzHtFWenEHSOoUCM46JRI7WxtZ3A/lVvcMauP8B+CwT9cOVzkJLN5JIsnvmikkAwpDlkr3qBRU/8gfMOvMq5exvZarEw+8x7ST/+m12OxfypRfz+7a08v/Igf79iPt/+rIiNpjNY+q0hmIeMA5O1y2O7wmgQlGanRhaZCoUk7ztGcNy0f3PTjhv5Ue2vWSJuIl+0srfwuMhx4TU1DjR7sFt71mhMBgMug10LrdbpmNgHaCvt2fMiby8adwr/fN/NnGnv8A9WUWExc37BJEBbevXl9HQCopUrxl2Bp6WO+cZl7Ci6hPGzvtOpDxZd04hUcSiYiMX/GAU0x/hf0pxaEmOtpf0Z2hsIYTUnT6htmCMqNKSUASHED4D3ASPwXynl5h4O6x1GMwzRbsQThudy1wXjIwvWv7RqH3/ebOPFwuOQXyzgRw1ehhjclH39LSjUJvVrrprI0MwUSvXksK9PL+HP7xdhbv0prkYHk8+Y0+3p547O5+kVe1k35ocYDOO4dnkpbw0r7faYaIqyUjAaBJUNzohDde7o/PYdcoYDkAk8fM10cvXCbPEIhx9XhIUG8OZODwu8P+W9tN/C8n/AxEtg3m2djjUYBH+7fCrvbjzIV6fEz1QdredhVNS0saGqhZLslJjSCaCZgrJTzVTUOvD4g6z4soErZibuu5qkry3y8CdamPEPzxjVaZ8pJVm8v+UgFWIK0MCw6BIicQgnXTU4fRTrJckNedPwumyUNHwO3EK9w8vJch1GGYBxX4nbjs1sJDPFylTrLZw0vYELR17Ifc2fMbI6yMU7X4ZtT0NqHn9x1dOGHU64nrqxV3LJgmrunjhByxeIIt1mpijTxtao8jdVTgPP+K9jQevfoM0A33gR8jTz35TSTP67LERFrYPxQzMgNYfftZ3PyPKv8ejJrZT4HHDcJd2ORarFxNeml/DMir3cMKeZxdtqufnUUZhLxnZ7XE8My02NaBoNTh++QIiUookw5b/kPH0pj5m1iERz0dTIMRn6cqrVzW4KM3oWVkaDwCXs4HdqyZVGE3Vt3nYNNoyrIUZTGpGfht2Uzgjzrcxq+zqPpNsZH9jFaYzEbITPMjzMcnsYnjqEliX/wib87Bl+OePj9CFsngqEQ/ULNWvCOMPeGPNUatseglJQYxwS2eYNBCNCJ5k44j2WUr4jpRwjpRwppbznSJ8vGqNB8O25I7j1rDHcetYYvnlyOSsrmzk49huI2i1MlLtZNuXeiMAAOGN8IROK2s0kWakWLpxSxFsNRayRYyJPzl1x0qhcjAbBh/tCfGQ7i5AwMTyv+0ksGrPRQHFWCpUNLpZU1GEyCGaPyIm777wx+TFP3R0pzkohxWyMydx++vNKRP44jFc8DcdfB/P/GaNuRxOeUGIK/0VRqhcF3FnrYEN1c0QriEbL10hnZ20bq/Y04fGHmDs6L05r8clKtVCWm8rSnfXk2C2cd9zQTvtMLs2k2eVnqZ7kV96DphEWbI26iWp/i5uC7Az2pB/Pcd7VgDZxnWVcjc+aoyXbdUFhhpWWtlQuHn0xRoORz2sMPDP0DsRPt8G5f4SyE3mj/C7mBB4idM69rHFrk8akDhpZ5FpKsmLK+u9v9vBBaAZtJ9wKF/0bRp0Z+SwsUMP7721wsafBxdwxhTDm7B4FRpirZw/DFwxx4xOrEcCVJxxeQEo0ZTma0JBStueZZKbAqDPxnf5byg1arbfUsnY/RbiKbE2rpz1UuBtMBoHToP+2dGd4vcMXX9PQo51AmxcmFmeyobqVU0qux+ZL4aUv/0kgFGBb6xc4zT6uaG2Dhp2kbHiclaEx+PLih8WGzVORxEfdBD1W7MMWpUWYmr9kP3m0+dt/S5qmoYTGgObS6aVYTAYWNE3HkT2eewLfwHZc/KfIaMI+gwybSSv70A0ZNjPTSrP4tKJeLx9ij5RHTpSy3FT2Nrr4tKKO48uyY+LzDwWDQTC6MI3Ve5tYWlHPi6v2sb6qhatnlyFGngoXPgCW7ifY7jAZDYzIs7Piy0b2NbqZ3MVEOKowjR01DpZU1GE2CmaPyI27X1eE2710RknMDzHyebH2+dsbDpBmNXXSdjqSmxbWNLw4vQGaXX6KslJoHHIy5RygdX8FBxpbOc2wDtfws7r0P4FmoqrRF/0JBENs3t+i9TclG2Z/Fy5/ipaxl9ISMFPb5mVDVTMmg2BiUWf/DWgCcE+DK7KGw/5mN0aDgdRzfg1TLo/ZtzzXTrrNxOKttSytqOfpFZoJZO6Y/E7tdseognRmj8jhYKuH08cV9smKl8Ny7Ti8ARqdvk4Z7dY5P+B1y/ksD00kI7PdtJqh3+eBkEzIp2EyCpxCFxqeFoIhSaPTS35UdVlCIU3TsMc+qEwpyWTLgVZ2lFxFU+3X2Ofczcs7XmbJwTcw+FM51eWGLx7B0rKHpwJnRmpPdSSsafiDuqaRmoPDks84w96Y6C/RuIt9DI0pj+4LhJSmMdDJtlv4yuShPL++if8d9ySPBs+PlLrojimlWUwblsWkkswuTUHRzB2dz8bqFlZXNvWomcSjLDeVHTVtbKpuZd4hPJXHY2JRJuv3NXP1oyu4/aUNpFlNXHx8ca/ajGZMYTrr9FpC8TQNgDEFabS4/by5fj/Ty7ITeoqMZtbwHMxGwTdmxXf4jx2SjsVooLbNy7Cc1B6/oxy9kFz0hFaclUJohJaZ27L5A9izjAzhwjKx+4eKwgwbtXqhS80EF2JKh2CAcCXbygYnG6paGFOYHlf4QbsA3FDdDGhCY0iGDWOcsEyDQTCjLJsPttRw9aMreHjJbspyUxlxCJptmG+eNFz/X37Ix8ajPMo3V92xHIsQrJpwJ3dl/j7muwr7NICE7hGjwYAT/aHH20qzy0dIEvvQ4GnWor9SY39Hk0uy8AVCrNnbRKBtIlPypvP3NX9nQ8MK/M2zMAOsfRK/NYd3QyeQ2oWPxdxR0wBqUkYy3lCFIfydSQkNu6k2FscULFU+jSThmtllvLKmmkc+3U12qjmmqFh3PPbNWQmfY+6YPP62aAe1bd6IM/pQKMux49HXKY7xZxwGd10wnkuihMSQDFvkia4vCDvDhWg3l3TaRxfMB1o8XUZ6dceVM0s5fVxBl0/AFpOB8UUZrN/XHAkk6I6IeSqqUmxxVgoZtuOoknkYd39Inj8Tt7SQOvbM7pqiMMNKbZuXYEhGzEQdxyES3NDgYkNVC+dPGtKxmQiTIo7/FuaOzqe62d3tk//9l09jR1TRzUSEZjzOPW4In9x+akTA9ZbwNe9t0ISG3WKM+CxAW1Wx40JS0fdlQpqGQeCgXdPwpGi/mdRorcClF2bspGlkAbB8VwMguG3G7Vz3/lUIYcDdfCKu9EWkuvdTPeLr+Naae9Q0AlFC44B1BDPF6oifBVcDeFuotRZ30DSCWJNQ0zjmhMbU0iwmFmWweX8rs8pzEv6BRRbgSYApJVlk2Ey0RtWpOhTCZb2zU81aSZNeYLeamFke3yfSF4Svb0SevUszWliwAJxyiKYT0MxgPZlMppRoGtWwBIRGhs2E2ShocPpIjaovlWO38GpwEpfUfoaNVNaap3FSD+a7wgwbwZCkwellfVUL6TYT5R0m3nBww6c762lx+7s044Fm1x+eZ49Ugq1udncZHQfafdlX329fCQyAkuxUhIA9Dc5Iefno31qKxRgTXQRRy6mSmNAwGgRtYfNU/Q586VopkRgfnFOvS5YaaxItzUkhK9VMZYMLg4ApBRO4eerN1DkcPLIlk1Z7OanuA1SUXgZra0m1xNcITLo24Qubp4Aq83Dm4If6HZpjvEErBNpgLcXhba9p5Q2EErrOgUbyibleIoTgGv1pd9RhTOiJYDQI5uhmpVEFh2eeAjh5VF5cs8RAYpSuSXU3EeanW8mwab6GCUPj2/J7S/jpvqyHyCnQ7oHsVAsNDq/uMxAUpFuxmY1ssE3HGnSSE6xjS+bcHtsqzNBKQNS0eNlY1cLkksx2s4ROOLhhkb7QV1caWfS1bKzWbPQHWzyx63kkCTazkSEZNvY2uNjfnNg12MyGiLknUUf4PmMpFE6Cd27HvvohQMb4EnDpQqODpiGEiHwPdouWSHjj5Bu5cdLNAGwtvRzOvJsGUyEAqV30RwiB2ShiNI0ttin4McEqrXxJuFhoc0ppjHlK+TSSiAunFjGxKOOwnnoT5evTS5gwNCN2xbcEKc+1M35oBl+bXnIEeta3lOemMqU0i3Mmdm1yEUJw/qShXD6ztNOE2lfMGZ3HiDw7s4Yn9tSdY7dEfBpDMmyRpTwP5pxACANBBLVDT+2xnbDQ2NfkYtvB1i6FZ1luKm5/EKvJwNgh3ZssJ5dkcqDFw5b9WtXgmPU8kohhOalUNrrY3+xO6BqEEBETVVoCeRpGg8AjTXD9ezD+qxR89jv+Zn4Im4ha+yOiaXT2DYZNVNECKhzNtCtnHsz5sVbhFrB3oWmAli8S7dM4KHP5wHIGrHkCWqqhcRcYTLhT4/k0km8KTj7dqA9ItZh4+4c9P0X2htPHFXL6uMLDOtZmNvLuj45s//oKk9HA6zef3ON+935t8hHtx9DMFD687dSE989Ls9Lg9NHmCURKjgPk5heyunYcnqCBrLzO4b0dGaILjY+31+IPSiZ3oUWE1wKfUJQRsYN3xZTSLADe1cvUJ6OmAZqgfG/TQVo9gYQjsjJSzDQ4fYlpGkahJdVZ0+DSx6l647dcvPY+dla+Csf9SNvJGV/TgPbAjehEwvCTv1dP1gv7XVK78GmA5gz3R5mnPIEQr9kv54KWxbDs71qFiqwyUmw2HN72tVV8gdAhR1YOBI5JoaFQ5Ngt7GtyEZKS44e1+wzKc1P5ludWJILfJzDR5aVZEAIWb9UWipqsT/gdCfs5OmbMx2NiUQYGoS26BfRJCGx/UJZrjyTWRgvm7ghHUCUaPRUIL7AmBJUTvo99zQIyWqIW03LVgyU9bmZ7WDinRfniwqatcIa30xfEZBBd5iqB5kOJ1jQ8/iAeWxGUXwmrH4O0AigYj91q6qBpqOQ+hSJpyLFbqG/zcrDFEzMpD8u14yAVJykJPeGbjIaI1pKXZqEoM/7kGHbQdxWWHE2qxcTognR26wttDe2izYFOdCRbUWaCmoZNExaJRk8Fop7wvcEQFbKY1JaoFSid9WCPnxdUmGGjMMMaYwoTQmAxGiKahtsX7NIJ3t6PWKHh1cvTMPenEApoC2rljMRuNXXK00hG81Ty9Vih6ANy7RacviD+oIwRDpG1xUncLBQ2UU0uyeoyGu/kUXlce2IZZ4xPzGQZFi4dF19KJqKDEhIdy7CmkWj0VCBqpU1fIERFqISU5h1abgRomoa9a9/lz84Zx7Unlsdss5oM7ZqGXnG3O8ymWOHl8YdIMRu0kj9T9LW/c0eSbjPhD0q8AU078ipHuEKRPOREZQ1Haxrhp2ODgMIesv/DhOskdRcVlWY18dv5x8WElXZH2MyVrP4MaNeuhIAhCWpLYUd4otFTwVDUE35A0zSM3hatsi2AsyGuEzzM16aXdArisJgMkYnd5Qt2Cg3uiNlgwBdtngoE25M3592ulRYpnxNxpjv1sFulaSgUSUR0Umf0xJyVaiHDZoqJqOqJAl3T6JgJ3hvCDvVk9WeAlneRlWqmMN3Wo/M/+hg4PE3D69eEBgC1ul/D1bV5qitiNA1foMvEvjBmoyFG03D7gu3FCnOGw/c/i/g0QNNeAsEQgZDEYlSOcIUiKQiXEoHOTtoR+Wmxsf49UJyVghDd56ocKuOGpmM1GSLVlpOVEXl2TIbExzLXbsEgIN2WqKbRwacR0sPU67bD8Hl6scJDK8WjaRrh6KkEfBpG0ckRboujQYQFocMbYHuNlsXfU9sDESU0FMck4VIi6XF8Bn/++uRDKsVx9QllTCvNIi/t0Nee6Aqrycgz3zkh6YXGn75+aKHWl88q5bjizMSjp6Id4f4gtWQhrRmIum1a5duQP264bXdYTcaIpuHyBShI7960ZjYa8IdiQ27j1RYLX9PeRhf/99YWCtKtzJ8af9mBgYwSGopjkjzdpxHP/DM6gSKW0WSmmjlpVO8KS8ZjetmRK/9ytBh1iLXXMmxmThyZmDmpo6ah+RUEMn8com57t4l93RHj0/AGScntwadhFPh1IRMKSXxdCI00XXv6xSsbcXgDvHDTiRHTZjKhfBqKY5IMmxmjQSS1z+BYx2js7NMAEPnjoG5bl8UKe8Jqandsaz6NnoRGe8ht2KwVV2jomkaj08efvz6ZqV3k9Ax0lNBQHJMYDIJR+WkxC24pkouO0VO+oBbCKgrGaQ7wum3aB6mH6Ag3GyICSPNp9OwID5unPH5NQ4nn08hPs2I2Cm4+bSTzp/bd8gRHG2WeUhyzvP6DkyNVShXJh8lg6KRpWE0GyNeXqt2zVPt/iJqGxWigzRNASonLF+xxvfJo85Q7IjQ6H5Ntt7D6V2f16dIE/YESGopjlq4WQlIkByZjR59GUCv3kT9O27Bnmfb/EH0aVpMRrz+ENxAiGJIJaRoBXePpTtMAkl5ggDJPKRSKJCVenobVZICMYq3eVGsVmFMPeUlji+7TcOsVbnsOuTVEChaGF0+zJWEhwkRRQkOhUCQl8aKnLCaDloIeNlEdomkKNEe41x/EqVe47Tm5rz1Pw6NHXdmSMP8iUZTQUCgUSYlRFxpSrzOlaRr6ZB02UR2iaQrak/vCa2kkUkYkIjTC5imlaSgUCsXAIhzEENY2vIFgewnzXmkaWnJfuIx5j47wqIKFPfk0BgOD98oUCsWgxqiXJwn7NXzBUHv5lz7QNNp9Gt2bp0xRBQsjPo1BHGShhIZCoUhKOmka/lC7plGgC41DLFYI7cl94bUvevJpRC/C5Okm5HawoISGQqFISoy60AibhmI0jYwSmHARjDzjkNsNC55ml7bWeI8+DWO0eSqsaQzeqVXlaSgUiqTEZNSFhp4jEaNpGAxw2eOH1W5Y8DS5fEDPPo1wkqGUMqJppChNQ6FQKAYWxg7mKU3T6P1k3S40NE2jJ59GWFD5g7I95FYJjfgIIS4VQmwWQoSEEDM6fPYLIcROIcR2IcQ5veumQqFQxBL2aQQiPo3gIa2D0hVhwdOsaxo9rxGu9cMfDOHRned90Y+BSm/NU5uAS4CHozcKISYAVwATgSJgkRBijJQy2MvzKRQKBdAePRWtaVj6Qmjo/ohGpw+L0dDjqoPhzwNBiSeg+VUOZT2WZKNXIyyl3Cql3B7no/nAc1JKr5TyS2AnMKs351IoFIpoOmsafWOeshjbHeGpPfgzQHOEgya0tFX7Bq9pCo6cT6MY2Bf1vkrf1gkhxI1CiFVCiFV1dXVHqDsKhWKw0e7T0B3hfaxpNLl8PYbbQpSmEdKExmB2gkMCQkMIsUgIsSnO3/y+6ICUcoGUcoaUckZ+fn5fNKlQKI4BojUNKbUV8/rCl2AxapN+k8vfY7gtaAULAfwBiccfGtThtpCAT0NKeeZhtFsNlEa9L9G3KRQKRZ8QnacRzsjuS02j2eWjOKvn5VjD5il/SJmnesMbwBVCCKsQYjgwGvjiCJ1LoVAcg4TNQsGQjCyz2jeaRnt5kp7CbaP39wdDuP1BrEpodI0Q4mIhRBVwIvC2EOJ9ACnlZuAFYAvwHnCzipxSKBR9iTHKPBVenrVPQm6jzEs9JfZBrHnK6w9hG8ThttDLkFsp5avAq118dg9wT2/aVygUiq6Irj0VNk/1ZfQUQEpCjvAo81QgSHaqpdd9GMgMbpGoUCgGLe2aRgivXr6jb3wa7YLHnoAj3BzRNFT0lEKhUAxYwrWnYjWNvvNpQM8lRCA65PbYiJ4a3FenUCgGLdHraYR9Gn0ZPQU9lxCBduGlkvsUCoViABPxaQT71qcRra0kkhFuiSoj4lZCQ6FQKAYmcaOn+sA0FG2eSiQjPKxp+IMhrZSJMk8pFArFwMMU5Qj3BXVHeA/FBRNBCBExcyVingr7NLyBIL5gCFsfaDsDGSU0FApFUhK9nkZfahoAVmNYaCSe3OfwaMvDJlJ6JJlRQkOhUCQlJkO7LyFSRqQPNA1oFz6J+DTC5qk2fU1xldynUCgUAxBjVMhteE2NvirhERY+h1Lltk3XNAa7I1wJDYVCkZREV7kNSk1o9J2moU38Cfk0DGGhoS0Pq4SGQqFQDECi19OIFCzsI5+GxXgIjnCTbp6KaBqD2zw1uK9OoVAMWqI1jbDQ6Gufht2aQMitIdYRPtg1DSU0FApFUhIdPeXrw9LocIiahrGjpqGEhkKhUAw4TNFlRAIhLEYDQog+aTsSPZWAI1wIgckgaD1GfBpKaCgUiqQkpmBhHy31GsZqMmI1GSLaTE+YjQbl01AoFIqBjFG0L/fqDQT7pFhhGIvRkJA/I4zZKHBE8jSUpqFQKBQDDoNBYBBa9FRfaxp2q4kM26EIDYMKuVUoFIqBjslgiPg0+nJt7h+fOZoGpy/h/c1GA3p+4aBfhEkJDYVCkbQYDSLi0+ircFuA0pxUSnNSE94/7F+BvssVGagM7qtTKBSDGpNB6JpGsF8n67DAEqLvwn4HKoP76hQKxaDGaBSR5V77UtM4VMKahtXUd2G/AxUlNBQKRdJiMogBsfhRuGjhYHeCgxIaCoUiiQn7NLx97NM4VExhoTHIw21BCQ2FQpHEhKOntJDb/puwLbp5arAvwARKaCgUiiSmXdPo2+S+QyVc0mSwO8FBCQ2FQpHEhKOn+jq571Axm5RPQ6FQKAY8mqahrafRn5pG2Dw12OtOgRIaCoUiiTEahLZGeD/7NMLmKaVp9IAQ4s9CiG1CiA1CiFeFEFlRn/1CCLFTCLFdCHFOr3uqUCgUHTAZo6KnBoB5arCXEIHeaxoLgeOklJOBHcAvAIQQE4ArgInAucBDQojBP5oKheKoYjQY8OvJff3q0zCEzVODf5rr1ShLKT+QUgb0t58DJfrr+cBzUkqvlPJLYCcwqzfnUigUio6YDAK3T5uCBkZy3+C3+PflFV4PvKu/Lgb2RX1WpW9TKBSKPsNkELh8QaDv1gc/rH5EyogMfk2jxyq3QohFwJA4H90ppXxd3+dOIAA8fagdEELcCNwIMGzYsEM9XKFQHMOYjO1Coy9Lox8qx1IZkR6FhpTyzO4+F0J8E/gKcIaUUq8oTzVQGrVbib4tXvsLgAUAM2bMkPH2USgUingYDQZcYfNUP2oaZhVymxhCiHOBnwEXSildUR+9AVwhhLAKIYYDo4EvenMuhUKh6IjJIHB5w5pG//s0joXoqd4uwvQgYAUW6uWAP5dSfldKuVkI8QKwBc1sdbOUMtjLcykUCkUMRoPAqWsa/enTUOapBJFSjurms3uAe3rTvkKhUHSHySAiy6z2r6ahzFMKhUIx4DEa2hc8shiVI/xooISGQqFIWkyGgbE2d3g9jWMh5FYJDYVCkbQYDe1TWH/6NFTBQoVCoUgCBpqmcSxETymhoVAokhajMdqnoaKnjgZKaCgUiqQlVtPovwk7XCwxVS33qlAoFAOX6Oip/qxye9q4An5z4URGFaT1Wx+OFr1N7lMoFIp+I1rT6M/1NNKsJq47qbzfzn80UZqGQqFIWqKjp/pT0ziWUKOsUCiSlhhNox8d4ccSapQVCkXSEvZpWEwG9Pp3iiOMEhoKhSJpCdd86s+y6McaaqQVCkXSEvZp9Gdi37GGGmmFQpG0hH0ayp9x9FAjrVAokpawT6M/E/uONZTQUCgUSYvJqDSNo40aaYVCkbS0axpqKjtaqJFWKBRJi/JpHH3USCsUiqRFRU8dfdRIKxSKpCWsaRwLK+YNFJTQUCgUSYtRmaeOOmqkFQpF0mJSjvCjjhpphUKRtChN4+ijRlqhUCQt4TwNpWkcPdRIKxSKpCUcPWUxKkf40UIJDYVCkbQon8bRR420QqFIWpRP4+ijRlqhUCQtStM4+qiRVigUSYvJGPZpqKnsaNGrkRZC/J8QYoMQYp0Q4gMhRJG+XQghHhBC7NQ/P75vuqtQKBTtmFRp9KNOb8Xzn6WUk6WUU4G3gF/r288DRut/NwL/6uV5FAqFohORKrdK0zhq9GqkpZStUW/tgNRfzweekBqfA1lCiKG9OZdCoVB0RPk0jj6m3jYghLgHuBZoAU7TNxcD+6J2q9K3HYhz/I1o2gjDhg3rbXcUCsUxxIj8NL536kjmjs7v764cM/QonoUQi4QQm+L8zQeQUt4ppSwFngZ+cKgdkFIukFLOkFLOyM9XX7xCoUgco0Hw83PHkWO39HdXjhl61DSklGcm2NbTwDvA/wOqgdKoz0r0bQqFQqFIYnobPTU66u18YJv++g3gWj2KajbQIqXsZJpSKBQKRXLRW5/GvUKIsUAIqAS+q29/Bzgf2Am4gG/18jwKhUKhGAD0SmhIKb/WxXYJ3NybthUKhUIx8FBxagqFQqFIGCU0FAqFQpEwSmgoFAqFImGU0FAoFApFwgjNZz0wEELUoUVhJQN5QH1/d6IPSabrSaa+JkoyXVMy9bUrkukaEulrmZTyqGRHDyihkUwIIVZJKWf0dz/6imS6nmTqa6Ik0zUlU1+7IpmuYaD1VZmnFAqFQpEwSmgoFAqFImGU0Dh8FvR3B/qYZLqeZOproiTTNSVTX7sima5hQPVV+TQUCoVCkTBK01AoFApFwiihoVAoFIrEkVIOij+09Ts+ArYAm4Ef6dtzgIVAhf4/W9/+DWADsBFYDkyJautcYDtald47ujnndXq7FcB1+rZ0YF3UXz1wfxfH34O2wqGjw/ZvAg1AG+BBW4ukX65H336l3u4G4D0gr4uxrwS8QB1wR1Rfa9GqHUu0mPN+62vUfv/V+7Wpw/a79fHerI//3v68n/Ttl+ttbwb+2M29v1u/X+qAB6L6egBwoFWjntGffe3q3o+6hmoggLba5zrgh0dwvN8DmoG3OmwfDqzQj38esAyA8T6sviY419TRPl99u6s+RI7paYdk+QOGAsfrr9OBHcAE4E/hLwNtIvuj/vqkqBvwPGCF/toI7AJGABZgPTAhzvly9JsmB8jWX2fH2W81MK+LPs/W+x3vi/zvQLgetErIteiTr37+u+OM/Qz9PJP0vm4DHtX7OA34I9qSwHn92deoNuYBxxNfaNw2UO4nIBdNcOXr+z0OnBHv3ge+AE7X+7oEeFHv43jgL3o7M/qzr13d+1HX8E3g4SM93vq+ZwBfpfNE/AJwhf7638D3+nO8e9PXBOeaBw9lrh005ikp5QEp5Rr9dRuwFW1d8vloNy/6/4v0fZZLKZv07Z+jrS4IMAvYKaXcLaX0Ac/pbXTkHGChlLJRb2ch2lNDBCHEGKAA+LSLPn8uu16cyjVArkfof3YhhAAygP0druMAYNbPs1Hv6zLgQuBxKeVa4H4gtb/7GtXnJUBjvM/C1zRAxn8EUCGlrNP3WwTELEmgj/8BIENK+aHe16XAWWjjvxX4K5rA7te+RvU55t6PHm/Az5Efb6SUi9G0yQj6fXM68FLHc0b3laM73ofd16jju5trDolBIzSiEUKUoz3drgAKowbrIFAY55AbgHf118VoalyYKn1bRxLZ7wrgeamL9EPka0KIDUKIl4QQJ9JP1yOl9APfQ1Ot96M9/T3a1fFRY/852o8quq/GAdLXnviBPvb/FUJk9/P9tBMYK4QoF0KY0CaF0s6HUwxURfX1E8Deoa/xFtLuj772xGVoT+Q3A0OO0Hh3RS7QLKUM9HD80Rzv3va1J6Lnmh6/r0EnNIQQacDLwI+llK3Rn+mTt+yw/2loX+TPj0B3rgCePYzj3gTKpZST0dTe9+mn6xFCmNEm4mlAEZpt9hdd7G5CH3s0W+9A7mtX/AsYCUxFe5r8O/14P+lPqN9Ds1d/CuwBgl3sbqR9/F0DvK9d8SHa5HcF2uSaGtX+0f799kS/jncfET3XLKRdq+uSQSU09EnjZeBpKeUr+uYaIcRQ/fOhaDbv8P6Tgf8A86WUDfrmamKfjkqAaiHECUKIdfrfhV3tF9X2FMAkpVytvzdGHf/b7q5DStkgpfTq13MBYO7H65mq92mX/kN4AThJCFEadfx30Z6svkL72JcArR36Ghogfe1u7GuklEEpZQj4H3Ax/Xw/SSnflFKeIKU8Ec1puiPO/VQDzOww/s4OffUPkL7GRb/fHwGe0q/hP4DhCI13VzQAWbqmFH18f453b/vaJeG5Rn/7H2B6d/uHDxoUf2i27CfoEKkE/JlYR9qf9NfD0NTpkzrsb0Jz7A2n3Tk1Mc75coAv0RyA2frrnKjP7wV+k2DfOzqnhkZdz5vA5/11PWhP7Adod27+H/DXOGP/JJqjO/o8/+3Q17AjvN/62qGdcjo7wodGXdNKYHt/309Agf4/Gy3CZUwX9/5BNIenQHtKf6lDX8OO2X7ra1f3ftQ1LIj67GI0M2Ofj3fU/qfS2bn8IrHO5e/353j3pq+JzDUdxvvz7o6XUg4qoTEHTR3cQHv42Plodr/FaCF7i6Ju7v8ATVH7ropq63y0iIhdwJ3dnPN6/WbYCXyrw2e7gXE99PlPaKp4SP9/t779D/oPUaKF7m3tz+sBvqv3YQOaEMvtYuy/RDNLedHU3HBfa/XtAbRJYFt/9TVqv2fRBIxfH/sb9O1PovlEdurXtKW/7ye9r1v0vyu6ufcrALc+/m9G9XV/1PdSo19vv/S1m3v/v/o11OrX4EabRGcfwfH+FC3c1K334Rx9+wi0yKidaJOydQCM92H1NcG5ZrM+1h/Rw5wlpVRlRBQKhUKROIPKp6FQKBSKI4sSGgqFQqFIGCU0FAqFQpEwSmgoFAqFImGU0FAoFApFwiihoVAoFIqEUUJDoVAoFAnz/wHTSU5P6a4z3wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(data=GrowthRate['Deceased'][-100:])\n",
    "ax = sns.lineplot(data=GrowthRateRollingMean3d['Deceased'][-100:])\n",
    "ax = sns.lineplot(data=GrowthRateRollingMean1w['Deceased'][-100:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Combine with KNMI weather data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(data=dfKNMI['temperatuur gem. 24h [°C]'], color='orange')\n",
    "ax2 = ax.twinx()                                  \n",
    "ax2 = sns.lineplot(data=DifferencePerDay.loc[:, ['Total_reported_rollingmean3days', 'Hospital_admission_rollingmean3days', 'Deceased_rollingmean3days']], color='green')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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WWrp2h4SE8Nprr5VbrvQcT0rdtu+seaSNDgFVvxG7Pqp2IhJC2ADzMc9z3h6YKIRof0mxB4GLUspWwEfAu5ds/y9wbWPb3GR27doFVD0RWUtAQMBVJa4SX3zxBe3bX/rnUzOuZd6jdevW4eHhUfPBXAcODg5s3ryZQ4cOERkZyfr168sMDaTUPzti0mjj54pvA0drh3Jd1USNqDsQK6U8LaUsBr4DLh3fZRSwXFteBQwS2oiTQojRwBkgugZi+cfSkeU/Svz2Yvnbk7QpGA5+Xf5+1yguLo6BAwfSsWNHBg0aZBnu//vvv6dDhw6EhYXRr18/wFyTGjVqFP3796d169ZlBscsqXW9+OKLbN++nfDwcD766CPi4uLo27cvnTt3pnPnzpaEVZW4yttPSskTTzxB27ZtufXWWy1j2IF5FtGXXnqJ8PBwunbtyoEDBxg6dCgtW7a0DF1TuiYWHR1N9+7dCQ8Pp2PHjsTExJCXl8fIkSMJCwujQ4cOlmGHStdGvv32W0JDQ+nQoUOZkbxdXV15+eWXCQsLo0ePHpaRr8szdepUHn30USIiInjhhReIjIykR48edOzYkTvvvNMytltFSmZMjYuLo127djz88MOEhIQwZMgQy4Cme/futcy+OmPGDMvrXrZsGaNHj2bw4ME0a9aMTz75hP/+97906tSJHj16kJFhnj351KlTDBs2jC5dutC3b1+OHz8OwM8//0xERASdOnXi1ltvtbzO119/nQceeID+/fvTokUL5s2bB5gHnC35+9Dr9ej1esvAruvXryc4OJjOnTtbRvsG2LNnDz179qRTp0706tWLEydOAOYx8Ep3u+/Tpw+HDh3izz//tMw83KlTJ8sYhErNK9Qb2ROXQZ9WPtYO5fqTUlbrAdwNfFHq+X3AJ5eUOQIElnp+CvAGXIG/tJ+vA/+q5DzTgH3APnt7e3mpo0ePll2xZET5jxLrZpa/PfGQefuBr8rfrxI6nU6GhYVZHkFBQXL69OlSSilvu+02uWzZMimllIsXL5ajRo2SUkrZoUMHGR8fL6WU8uLFi1JKKZcuXSobNWok09LSZH5+vgwJCZF79+6VUkrp4uIipZRyy5YtcuTIkZZz5+XlyYKCAimllCdPnpRdunSRUkp55swZGRISUmHMFe33ww8/yFtvvVUaDAaZkJAg3d3d5ffffy+llLJp06by008/lVJK+cwzz8jQ0FCZnZ0tU1JSpK+v72XnfeKJJ+RXX30lpZSyqKhI5ufny1WrVsmHHnrIEkdmZqaUUspbbrlF7t27VyYkJMigoCCZkpIi9Xq9HDBggPzpp5+klFICcu3atVJKKWfMmCHfeuutCl/flClT5MiRI6XBYJBSShkaGiq3bt0qpZTy1VdflU8//bSlXMnrK4mh5LWmpqbKM2fOSBsbG3nw4EEppZRjx46VX375pZRSypCQELlr1y4ppZQzZ860vO6lS5fKli1bWt6bBg0ayAULFljet48++khKKeXAgQPlyZMnpZRS/v3333LAgAFSSikzMjKkyWSSUkq5aNEi+dxzz0kppXzttddkz549ZWFhoUxNTZUNGzaUxcXFUkopDQaDDAsLky4uLvKFF16QUkpZUFAgAwMD5cmTJ6XJZJJjx461/O1kZWVJvV4vpZRy48aNcsyYMVJKKZctW2Z5b06cOGH5u7jtttvkjh07pJRS5uTkWPYt7bL/ReWabDuZIpvO/EVuPpZcY8cE8mQ1P/Ovx8PaN7S+Dnwkpcy90vQBUsqFwEIwjzV3xSPf/2vl24fPrnx7p0nmx1VwcnIq8y1y2bJllm/3f/31l+Wb6H333ccLL7wAmEeInjp1KuPGjbPMqQMwePBgvLy8APNcOzt27KBr164Vnluv1/PEE09YJsWr6t33Fe23bds2Jk6ciI2NDQEBAQwcOLDMfnfccQdgvmE1NzcXNzc33NzccHBwuOyaSs+ePXn77beJj49nzJgxtG7dmtDQ0Ernz9m7dy/9+/fHx8f8bXDSpEls27aN0aNHY29vb7nG0aVLFzZu3Fjpaxw7diw2NjZXnIPpSsqbaygzM5OcnBx69uwJwD333MMvv/xi2WfAgAGW98bd3Z3bb7/d8r5FRUVVOr9TfHw848ePJykpieLiYsvcTWCeu8jBwQEHBwd8fX1JTk4mMDAQGxsbIiMjyczM5M477+TIkSMYDAaaN29O69atAfOcVAsXLgTMo3xPmTKFmJgYhBCWkcbHjh3LW2+9xfvvv8+SJUuYOnUqYP57fe6555g0aRJjxowhMPDGnDG0LtgRm4adjSCiRUNrh3Ld1UTTXAIQVOp5oLau3DJCCFvAHUgHIoD3hBBxwDPA/wkhavbqfh332WefMWvWLM6fP0+XLl1IT08HLp/X50qJ+qOPPsLPz49Dhw6xb98+iouLq3T+a92v9Pw9pUfJLj2fT4l77rmHtWvX4uTkxIgRI9i8ebNl/pzQ0FBeeeUVy4ylVVF6LqGqzD9UU/MeXTrXUFWuOV363lw671Hp+Z1KHseOHQPgySef5IknnuDw4cN8/vnnZeapulIsHh4eDBgwgPXr11ca36uvvsqAAQM4cuQIP//8s+Uczs7ODB48mDVr1rBy5UomTTJ/KXvxxRf54osvKCgooHfv3pZmRKXmRZ7LJLSxO872tVdfEEJ4CCFWCSGOCyGOCSF6CiEaCiE2CiFitJ+eWlkhhJindUKLEkJ0LnWcKVr5GCHElCudtyYS0V6gtRCiuRDCHpgArL2kzFqgJJi7gc1aTbGvlLKZlLIZMAd4R0r5SQ3EVOf06tWrzFw9JTWAU6dOERERwZtvvomPjw/nz58HYOPGjWRkZFBQUMDq1asvmx6i9BxBYP5m6+/vj06n48svv8RoNFYpror269evHytWrMBoNJKUlGSZ1vxanD59mhYtWvDUU08xatQooqKirjh/Tvfu3fnzzz9JS0vDaDTy7bffVjhfUlVdzRxMVeXh4YGbm5tlGKaS33FVVTa/U1ZWFo0bNwbMU3ZcSWpqqqU2WlBQwMaNGwkODiY4OJi4uDhOnToFmK+9lSh9jmXLlpU53kMPPcRTTz1Ft27dLNNNnDp1itDQUGbOnEm3bt1UIrqOkrMLaVz7w/rMBdZLKYOBMOAY8CKwSUrZGtikPQdzB7XW2mMasABACNEQeA1zRaM78FpJ8qpItRORlNIAPAH8rgW9UkoZLYR4Uwhxh1ZsMeAlhIgFniv1Qm4aH3/8MUuXLqVjx458+eWXzJ07F4AZM2ZYLsj36tWLsLAwwPxBfNddd9GxY0fuuuuuy5rlOnbsiI2NDWFhYXz00Uc8/vjjLF++nLCwMI4fP17lWkBF+9155520bt2a9u3bM3nyZEvT07VYuXIlHTp0IDw8nCNHjjB58mQOHz5s6cDwxhtv8Morr5TZx9/fn9mzZzNgwADCwsLo0qXLVc9xVJ7ly5czY8YMOnbsSGRkZI3MYrp48WIefvhhwsPDycvLu6o5j8D8xWTx4sWWbtdr1qwBzJ0Sxo4dS5cuXfD29r7icZKSkhgwYAAdO3akW7duDB48mNtuuw1HR0cWLlzIyJEj6dy5s2UKeYAXXniBl156iU6dOl1Wq+rSpQsNGjSwzAILMGfOHMu063Z2dgwfPvyqXqtSNVJKkrOL8HOr3pxcV0MI4Q70w/x5jZSyWEqZSdnOZsuB0dryKOB/WqXib8BDCOEPDAU2SikzpJQXgY3AsErPLdV8RHVOybWlTz65ISuHN5zc3FxLb7XZs2eTlJRk+aJRnyUmJtK/f3+OHz+OTlf176w30v+iteQU6gl9fQMvj2jHw/1a1NhxhRDFQOmpihdq198RQoRjvg5/FHNtaD/wNJAgpfTQygjMt+J4CCF+AWZLKXdo2zYBM4H+gKOUcpa2/lWgQEr5QUVxqZEVFKWafv31V8LDw+nQoQPbt2+/rHZXH/3vf/8jIiKCt99++6qSkFIzkrPNHVZ8G9R4jcggpexa6rGw1DZboDOwQErZCcjjktYrreddjdderN1rTinH1KlTLb2Uasrvv/9e5l4cMPcC++mnn2r0PNby9ttvW66zlBg7diwvv/zydT/3+PHjGT9+/HU/T22aPHkykydPtnYYN62UbHOnEV+3Wr2RNR6Il1KWzDuzCnMiShZC+Espk7Smt5KbCivqqJaAuVZUev3Wyk6sEtFNYujQoQwdOtTaYVw3L7/8cq0kHUWpDSk55hqRX83XiCokpbwghDgvhGgrpTwBDMLcTHcUc2ez2drPNdoua4EnhBDfYe6YkKUlq9+Bd0p1UBgCvFTZuVUiUhRFqWOSS2pEtT+0z5PA11oP6NPA/Zgv4awUQjwInAXGaWXXASOAWCBfK4uUMkMI8RbmHtUAb0opMyo7qUpEiqIodUxydhEu9ja4OtTuR7SUMhIo7875QeWUlcD0Co6zBFhS1fOqq5CKoih1THJOIX43+ECnpalEpCiKUsekZhfhU4v3EFmbSkQ1yMbGhvDwcEJCQggLC+PDDz/EZDJZO6wrev311/nggwq7+FdZ6ZGzS0athn/mUKoPzp49S+fOnS2/x5LRxC91PeaaUpQSN1uNSF0jqkGlBz1NSUnhnnvuITs7u8w0DvWdwWDA1vbq/myqOiVFXeDv789ff/2Fg4MDubm5dOjQgTvuuIOAgABrh6bcJMyjKhTWao85a7tha0T3r7+f1bGra3T5avj6+rJw4UI++eQTpJQYjUZmzJhBt27d6NixI59//rml7LvvvktoaChhYWG8+KL5/rGrnaOmonli3n//fcs5S8/Y+fbbb9OmTRv69OljmYOmIv379+eZZ56ha9euzJ07l02bNtGpUydCQ0N54IEHLKNFV6Rk1IGtW7fSv39/7r77boKDg5k0aVLJFB+sW7eO4OBgunTpwlNPPWUZXfv1119nypQp9O3bl6ZNm/Ljjz/ywgsvEBoayrBhwyyjRe/fv59bbrmFLl26MHToUJKSkgBYtGgR3bp1IywsjLvuuov8/HzAfK/WU089Ra9evWjRooVlEj97e3vLgKJFRUVlarRLly6lTZs2dO/enZ07d1rWl/c7MZlMtG7dmtTUVABMJhOtWrUiNTW13DmoFKVETpGBQr2ptu8hsqobNhHVBS1atMBoNJKSksLixYtxd3dn79697N27l0WLFnHmzBl+++031qxZw+7duzl06JBleohp06bx8ccfs3//fj744AMef/xxwDxB2d9//83BgweZMGEC7733HgAffPAB8+fPJzIyku3bt+Pk5MSGDRuIiYlhz549REZGsn//frZt28b+/fv57rvviIyMZN26dezdu7fC11CiuLiYffv2MX36dKZOncqKFSs4fPgwBoOBBQsWVPk9OXjwIHPmzOHo0aOcPn2anTt3UlhYyCOPPMJvv/3G/v37LR/eJU6dOsXmzZtZu3Yt9957LwMGDODw4cM4OTnx66+/otfrefLJJ1m1ahX79+/ngQcesNxTNGbMGPbu3cuhQ4do164dixcvthw3KSmJHTt28Msvv1i+AACcP3+ejh07EhQUxMyZMwkICCApKYnXXnuNnTt3smPHjjLTmZf3O9HpdNx77718/fXXAPzxxx+EhYXh4+PDm2++ye+//86hQ4dYu/bS8YGVm53lZtabqEZ0wzbNLR22tMaXq2PDhg1ERUVZvnlnZWURExPDH3/8wf3334+zs3mU3YYNG17THDXlzROzYcMGNmzYQKdOnQDzmGgxMTHk5ORw5513Ws5ZMrdQZUpGDjhx4gTNmzenTZs2gHlOn/nz5/PMM89U6X3o3r27ZQ6b8PBw4uLicHV1pUWLFpbXMnHiRMt8OQDDhw/Hzs6O0NBQjEYjw4aZx08MDQ0lLi6OEydOcOTIEQYPHgyA0WjE398fgCNHjvDKK6+QmZlJbm5umZt6R48ejU6no3379mVmeQ0KCrKMED569Gjuvvtudu/eXWZ+pPHjx1vmbqrod/LAAw8watQonnnmGZYsWWIZPLSiOagUBf4Z3kddI1JqxOnTp7GxscHX1xcpJR9//PFloxv8/vvvl+1Xeo6aSz355JM899xz3HHHHWzdupXXX38dMM8TM3LkSNatW0fv3r35/fffkVLy0ksv8cgjj5Q5xpw5c676tdSFOX10Ol2ZuYhK5vSRUhISEsJff/112b5Tp05l9erVhIWFsWzZMrZu3VpuLOUN/hsQEGAZP66y62IV/U6CgoLw8/Nj8+bN7Nmzx1I7+uyzz9i9eze//vorXbp0Yf/+/ZZJEBUlJadkeJ+bp0akmuauk9TUVB599FGeeOIJhBAMHTqUBQsWWK5pnDx5kry8PAYPHszSpUst1y4yMjKuaY6a8uaJGTp0KEuWLCE3NxeAhIQEUlJS6NevH6tXr6agoICcnBx+/vnnKr+utm3bEhcXR2xsLFAzc/q0bduW06dPExcXB8CKFSuuev/U1FRLItLr9URHRwOQk5ODv78/er3ekggqEx8fT0FBAQAXL15kx44dtG3bloiICP7880/S09PR6/VlxrWrbN6ghx56iHvvvdcySyxUPAeVokDpAU9VjUi5BgUFBYSHh6PX67G1teW+++7jueeeA8wfSHFxcXTu3BkpJT4+PqxevZphw4YRGRlJ165dsbe3Z8SIEbzzzjt8/fXXPPbYY8yaNQu9Xs+ECRMICwuzzFHj6enJwIEDOXPmDGCu5WzZsgWdTkdISAjDhw/HwcGBY8eOWeYScnV15auvvqJz586MHz+esLAwfH196datW5Vfo6OjI0uXLmXs2LEYDAa6devGo48+Wq33zcnJiU8//ZRhw4bh4uJyVfGAuYPBqlWreOqpp8jKysJgMPDMM88QEhLCW2+9RUREBD4+PkRERJSZTLA8x44d4/nnn0cIgZSSf/3rX4SGhgLmjhM9e/bEw8PDMmV4yfryfidgbva8//77y8zpM2PGDGJiYpBSMmjQIMscVIoC5uF9XB1sa31UBWtS8xEpdULJnD5SSqZPn07r1q159tlnrR1Wte3bt49nn33WMivszUD9L1bP9G8OcCwxm83/6l/jxxZC5Espa6advQappjmlTli0aJHlJtKsrKzLrmvVR7Nnz+auu+7iP//5j7VDUeqRlOzCm6rHHKgakVLK9OnTy9wfA/D000+XaVZSlCtR/4vV0++9LXRq4sHcCZ1q/Nh1tUZ0QzVCSiktPaqUqzd//nxrh6DUc/Xxi21dUjKqws3UYw5uoKY5R0dH0tPT1T+ColiJlJL09HQcHW+e3l41LbvQQJHBdFPdQwQ3UI0oMDCQ+Pj4y+7KVxSl9jg6OlpuWFauXor1JsSzqhsmEdnZ2VnuaFcURamPLPcQqaY5RVEUxRpKRlW42ZrmVCJSFEWpI1SNSFEURbGqklEVXG6iURVAJSJFUZQ6IzGzAH936zXLCSHihBCHhRCRQoh92rqGQoiNQogY7aentl4IIeYJIWKFEFFCiM6ljjNFKx8jhJhypfOqRKQoilJHJGYV0NjTydphDJBShkspu2rPXwQ2SSlbA5u05wDDgdbaYxqwAMyJC3gNiAC6A6+VJK+KqESkKIpSRyRcLKCxh9UT0aVGASXDyi8HRpda/z9p9jfgIYTwB4YCG6WUGVLKi8BGYFhlJ1CJSFEUpQ7ILzZwMV9PwPVNRLZCiH2lHtMu2S6BDUKI/aW2+Ukpk7TlC4CfttwYKD2HSby2rqL1FQd1DS9EURRFqWGJmeZ5sAKvb9OcoVSTW3n6SCkThBC+wEYhxPHSG6WUUghR48PX1EiNSAgxTAhxQrto9WI52x2EECu07buFEM209YO1zHtY+zmwJuJRFEWpb+IvmhPRda4RVUpKmaD9TAF+wnyNJ1lrckP7maIVTwCCSu0eqK2raH2Fqp2IhBA2wHzMF67aAxOFEO0vKfYgcFFK2Qr4CHhXW58G3C6lDAWmAF9WNx5FUZT6KDHTfDOrta4RCSFchBBuJcvAEOAIsBbz5zPazzXa8lpgstZ7rgeQpTXh/Q4MEUJ4ap0UhmjrKlQTTXPdgVgp5WntBXyH+SLW0VJlRgGva8urgE+EEEJKebBUmWjASQjhIKUsqoG4FEVR6o2EzHxsdMKaN7P6AT9pMxjYAt9IKdcLIfYCK4UQDwJngXFa+XXACCAWyAfuB5BSZggh3gL2auXelFJmVHbimkhE5V2YiqiojJTSIITIArww14hK3AUcUElIUZSbUWJmIY0aOGJrY50+ZFpl4rJ566WU6cCgctZLYHoFx1oCLKnquetEZwUhRAjm5rohlZSZhrmvOvb29rUUmaIoSu2oo123a0VNpN6qXJiylBFC2ALuQLr2PBDzRbHJUspTFZ1ESrlQStlVStnV1rZO5E9FUZQak5BZJ25mtYqaSER7gdZCiOZCCHtgAuaLWKWVvth1N7BZ6wboAfwKvCil3ImiKMpNSG80cSG7kACPm2vU7RLVTkRSSgPwBOZeEceAlVLKaCHEm0KIO7RiiwEvIUQs8Bz/DBHxBNAK+Lc2tlGk1n9dURTlphF/sQCjSdLMy8XaoVhFjbRxSSnXYe5BUXrdv0stFwJjy9lvFjCrJmJQFEWpr06n5gLQwsfVypFYhxriR1EUxcrOpOUB0ML75qwRqUSkKIpiZadS8/B0tsPT5ebsEawSkaIoipWdScul+U1aGwKViBRFUazudGreTXt9CFQiUhRFsarcIgMpOUWqRqQoiqJYx5lUc0eFlj4qESmKoihWcDrN3HW7ubdqmlMURVGsIPJ8Jg62Opp5O1s7FKtRiUhRFMWKdsam0b15QxxsbawditWoRKQoimIlKTmFnEzOpVdLb2uHYlUqESmKoljJrth0APq0UolIURRFsYIdsWm4O9nRPqCBtUOxKpWIFEVRrGT3mXR6tGiIjU5YOxSrUolIURTFCjLzizmfUUB4kKe1Q7E6lYgURVGs4EhCNgAdGt/czXKgEpGiKIpVHEnMAqBDgLuVIylLCGEjhDgohPhFe95cCLFbCBErhFihzcSNEMJBex6rbW9W6hgvaetPCCGGXumcKhEpiqJYwZGELBp7ONXFqR+exjzbdol3gY+klK2Ai8CD2voHgYva+o+0cggh2gMTgBBgGPCpEKLSm6RUIlIURbGCIwlZhDauc7WhQGAk8IX2XAADgVVakeXAaG15lPYcbfsgrfwo4DspZZGU8gwQC3Sv7LwqESmKotSy7EI9cen51rg+ZCuE2FfqMe2S7XOAFwCT9twLyJRSGrTn8UBjbbkxcB5A256llbesL2ef8oO6tteiKIqiXKtoS0eFWq8RGaSUXcvbIIS4DUiRUu4XQvSvzaBUIlIURall0SUdFepW01xv4A4hxAjAEWgAzAU8hBC2Wq0nEEjQyicAQUC8EMIWcAfSS60vUXqfcqmmOUVRlFp2OCELf3dHvF0drB2KhZTyJSlloJSyGebOBpullJOALcDdWrEpwBptea32HG37Ziml1NZP0HrVNQdaA3sqO7eqESmKotSyIwlZhNSxbtuVmAl8J4SYBRwEFmvrFwNfCiFigQzMyQspZbQQYiVwFDAA06WUxspOIMwJrH5xcXGReXl51g5DURTlquUVGejw+u88Pag1z9zaplbPLYTIl1LWualgVdOcoihKLTqalI2U1Lmu29akEpGiKEotOpJQJzsqWJVKRIqiKLXocEIWPm4O+DVwtHYodYZKRIqiKLXo0PlMOqraUBkqESmKotSSzPxiTqXm0bmpmvqhNJWIFEVRaknk+UwAOjXxsGocdY1KRIqiKLXk4LlMdAI6BnpYO5Q6pUYSkRBimDbvRKwQ4sVyttfYvBWKoij11YFzF2nj54argxpLoLRqJyJtnon5wHCgPTBRm4+itBqbt0JRFKU+Mpkkkecz1fWhctREjag7ECulPC2lLAa+wzwfRWk1Nm+FoihKfXQmPY+cQgPhqlnuMjWRiKoy90S1560QQkwrmUPDYDCUV0RRFKXOOp6UA0D7gFqfg6jOqzedFaSUC6WUXaWUXW1tVfuqoij1y7GkbGx0gla+rtYOpc6piURUlbknLGWqO2+FoihKfXQsKZuWPi442qnL4JeqiUS0F2gthGguhLDH3Plg7SVlamzeCkVRlPro+IUc2vmrZrnyVLuNS0ppEEI8AfwO2ABLtPko3gT2SSnXUoPzViiKotQ3Wfl6EjILuLdRU2uHUifVyMUWKeU6YN0l6/5darkQGFvBvm8Db9dEHIqiKHXRsQvZALTzd7NyJHVTvemsoCiKUl8dTypJRKpprjwqESmKolxn66Mv0NjDCV83B2uHUiepRKQoinIdRSdm8ffpDCb3bIr5Pn7lUioRKYqiXEdLd8bhbG/DhG5NrB1KpYQQjkKIPUKIQ0KIaCHEG9r65toYobHamKH22voaG0NUJSJFUZTrJDGzgLWRidzdJRB3Zztrh3MlRcBAKWUYEA4ME0L0wDw26EfaWKEXMY8dCjU4hqhKRIqiKNfJgq2nkEim9Wth7VCuSJrlak/ttIcEBmIeIxTMY4aO1pZrbAxRlYgURVGug6SsAlbsPc/dXQIJ9HS2djhVIoSwEUJEAinARuAUkKmNEQplxwOt9hiiJVQiUhRFuQ4+23oKk5Q83r+VtUMpzbZk8GjtMa30RimlUUoZjnm4te5AcK0EVRsnURRFuZlcyCrk273nuatzIEEN61RtyCCl7HqlQlLKTCHEFqAn4CGEsNVqPaXHAy0ZKzS+umOIqhqRoihKDZu3OQajSTJ9QJ2qDVVKCOEjhPDQlp2AwcAxYAvmMULBPGboGm25xsYQVTUiRVGUGiKlZPb643yz+xxTezWjiVedqg1diT+wXOvhpgNWSil/EUIcBb4TQswCDmIeOxRqcAxRYU5g9YuLi4vMy8uzdhiKoihlbI9J5b7Fe7gnoglvjeqAja5u3cAqhMiXUrpYO45LqaY5RVGUGvJrVBKuDrb8+7b2dS4J1WUqESmKotQAg9HE79EXGNTOV01+d5VUIlIURakBu89kcDFfz/AO/tYOpd5RiUhRFKUG/BKViLO9Df3b+lg7lHpHJSJFUZRqyinUsyYykeEd/FWz3DVQiUhRFKWafjyQQH6xkck91VTg10IlIkVRlGqQUvLl32cJC3QnLMjD2uHUSyoRKYqiVMOxpBxiU3KZ0L1uzzdUl6lEpCiKUg3bYlIBGNDW18qR1F8qESmKolTDtpOpBDdyo5G7o7VDqbdUIlIURblGeUUG9sVdpF8b1WW7OlQiUhRFuUZ/n06n2GiiX2uViKpDJSJFUZRrtCYyEVcHW7o287R2KPWaSkSKoijXIP5iPr8eTmJi9yB1E2s1qUSkKIpyDZbujEMA9/dubu1Q6j2ViBRFUa6S3mhi5b7zjAj1J8DDydrh1HsqESmKolyl/WcvklNoYESoGmm7JqhEpCiKcpW2nEjBzkbQu5WXtUO5IVQrEQkhGgohNgohYrSf5XYdEUJM0crECCGmaOuchRC/CiGOCyGihRCzqxOLoihKbdl6PJVuzRri5mhn7VBuCNWtEb0IbJJStgY2ac/LEEI0BF4DIoDuwGulEtYHUspgoBPQWwgxvJrxKIqiXFcJmQWcSM5RQ/rUoOomolHAcm15OTC6nDJDgY1Sygwp5UVgIzBMSpkvpdwCIKUsBg4AgdWMR1EU5bpaF5UEwIDgGysRCSGChBBbhBBHtVaqp7X15bZ8CbN5QohYIUSUEKJzqWNd1gpWmeomIj8pZZK2fAHwK6dMY+B8qefx2joLIYQHcDvmWpWiKEqdZDJJvtp9lu7NGtLK19Xa4dQ0A/C8lLI90AOYLoRoT8UtX8OB1tpjGrAArtgKVi7bK0UmhPgDaFTOppdLP5FSSiGEvNLxyjm+LfAtME9KebqSctMwv1js7e2v9jSKoijVtj02jbPp+Tw/pK21Q6lxWqUiSVvOEUIcw1xpGAX014otB7YCM7X1/5NSSuBvIYSHEMJfK7tRSpkBIITYCAzD/DlfrismIinlrRVtE0IkCyH8pZRJWgAp5RRLKPUiwNz8trXU84VAjJRyzhXiWKiVxcXF5aoTnqIoSnUt3nEGb1d7hoWU9928XrAVQuwr9Xyh9tlahhCiGeZr97upuOWrotauK7aCXaq6TXNrgZL2vynAmnLK/A4MEUJ4atWzIdo6hBCzAHfgmWrGoSiKcl1tiL7AtpOpTOvXAnvbenvni0FK2bXUo7wk5Ar8ADwjpcwuvU2r/dR4RaC67+ZsYLAQIga4VXuOEKKrEOILAK169hawV3u8KaXMEEIEYm7eaw8cEEJECiEeqmY8iqIoNS7+Yj5v/HyUNn6uN/SQPkIIO8xJ6Gsp5Y/a6mStxYtLWr4SgKBSuwdq6ypaX/F5zQmufnFxcZF5eXnWDkNRlJvA+iNJPLviEABfPdSdLk0bWjmiayeEyJdSulSwTWC+BpQhpXym1Pr3gXQp5WwhxItAQynlC0KIkcATwAjMHRPmSSm7a50V9gMlvegOAF1KrhmV54rXiBRFUW5WRpNk1q/HaObtwhdTutL4xh5XrjdwH3BYCBGprfs/zC1dK4UQDwJngXHatnWYk1AskA/cD+ZWMCFESSsYaK1glZ1Y1YgURVEqsCH6AtO+3M+nkzrfEOPKVVYjsqZ6e8VNURTlelu2Kw5/d0eGtC/vFkmlpqhEpCiKUo6UnEJ2nUpnYvcm2Nqoj8rrSb27iqIo5dh92nxZ45Y2PlaO5ManEpGiKEo5/j6djquDLSEBDawdyg1PJSJFUZRy/H06nW7NPFWzXC1Q77CiKMolUnIKOZWaR48WauK72qASkaIoyiX2nDFfH1KJqHaoRKQoinKJTcdS8HC2U9eHaolKRIqiKKUUGYz8cTSZIe391PWhWqLeZUVRlFJ2xaaTU2RgeIf6P5JCfaESkaIoSinrDifh5mhLr1bq+lBtUYlIURRFozea2HA0mVvb+eFga2PtcG4aKhEpiqJo/j6dTlaBnuEd6u0MrPWSSkSKoiiadYcv4GxvQz81rE+tUomojlm84wwDPtjKSz8eJqtAb+1wFOWmYTRJNkRfYGCwL452qlmuNqlEVIcU6o3M3xJLod7Iir3nWLTttLVDUpSbxvf7zpOeV6x6y1mBSkR1yM+HEsnIK+bDsWEMaOvLyn3n0RtN1g5LUW5o+89m8O7647z002F6tfRisJp7qNapqcLrkOV/xdHGz5WeLb3ILzay6X/72Hw8haEh6sKpolwPO2LSuHfxbgBubefLxxM7Y2+rvp/XNvWO14CdsWlMWbKHfXGVTsteqXPp+RxJyGZ8tyYIIejf1odGDRz5bs+5cst/u+ccAz/cyq3//ZPYlNxrPq+i3KyMJsmsX48S1NCJQ/8ewhdTuuFkr64NWYNKRNX0v7/imPTFbv48mcpra6MxmeQ1HWdHbBrwzyRctjY6RnUKYHtMGpn5xWXKmkySeZtiMJokZ9LyWH0woXovQlFuMnqjiQ82nOD4hRxeHNYOd2c7a4d0U1OJqBoKio3M2xRDjxYN+c+YUKITs/k9+kKl++QWGZDy8mS181QajRo40tLHxbLuttAADCbJhqPJZcr+fTqdpKxCnh/Slq5NPfnjWPKlh1MUpQJ6o4m7F+xiwdZTjAoPYESoavouIYRYIoRIEUIcKbWuoRBioxAiRvvpqa0XQoh5QohYIUSUEKJzqX2maOVjhBBTrnRelYiq4bu950jLLea5wW0Z1zWIlj4ufPTHyTK1orwiA/cv3cN/N55k9cEEwt/YwJgFu9h9Ot1SxmSS7IpNo3crb4QQlvUdGjcgqKETv0YllTnvDwcScHOwZUh7Pwa39+P4hRzOZ+Rf/xesKDeANZGJHIrP4t27Qpk7oVOZ/zmFZcCwS9a9CGySUrYGNmnPAYYDrbXHNGABmBMX8BoQAXQHXitJXhVRiegaGYwmFm07TfdmDenevCE2OsGTA1tzMjmXTcdTAJBSMvOHKLacSGXephieWRFJ+4AGJGcVcs8Xu/ny77MAHE3K5mK+nj6ty45tJYRgRKg/O2P/aZ7LKzKw/kgSw0Mb4WhnY+nhs/GoqhUpypUYTZJPt8TSzr8B47oGWTucOkdKuQ249GL3KGC5trwcGF1q/f+k2d+AhxDCHxgKbJRSZkgpLwIbuTy5laES0TX641gKiVmFPNS3uWXdbR39CfR04tOtsUgpWbozjl+ikpgxtC0fjg3jvh5NWTGtJxufu4X+bXx4dfURNkRfYPXBBISA3i29LzuPpXku2pxofj6USF6xkbHaP1FTLxfa+Lmy/gpNgopys/ti+2lGztvO6bQ8nhzY6matCdkKIfaVekyrwj5+UsqSZpkLQEn/9sbA+VLl4rV1Fa2vkEpE1+jr3Wfxd3dkYLCvZZ2tjY5H+rXg4LlMnvj2IO+sO8bg9n48dktL7uoSyFujO+Bkb4OLgy2f3deF1r6uvL42muV/xTG2SyC+DRwvO09J89wvh81/B9/sOUcbP1e6Nv2npnt7xwD2nMkgIbPg+r9wRamHNh1LZtavx3Cyt2HmsGCG3by3RBiklF1LPRZezc7SfIH72npkVUIlomsQl5bH9pg0JnZvctnEWRO6N+H+3s1Yf+QCgZ5OfDguDJ3u8m9edjY6Xrs9hMSsQuxsdPxrSNtyzyWEYGRoALti09h6IoWo+CwmRTQt821udCfzl401kar3nKJcKjO/mJk/HCa4kRvfTevBY/1blvs/qVQoWWtyQ/uZoq1PAEq3bwZq6ypaXyGViK7Bz4cSEYJy25hLEsyfM/rz4+O9aeBYcbfQPq29eX5wG967u2O5taESI0P9MZgkDyzbi7uTnSXxlAhq6Ey3Zp78dCCh3B55inIz+2L7GdLzivhwXJia2uHarAVKer5NAdaUWj9Z6z3XA8jSmvB+B4YIITy1TgpDtHUVuqlGVpBSUqg3Vfumtd+PXqBTkAeN3CtOHoGezlU61pODWl+xTIfGDeja1BMnexveHh2Ku9PlyW10p8a8/NMRDsVnER7kUaVzK8qNLrtQz/K/4hgW0oiQAHdrh1PnCSG+BfoD3kKIeMy932YDK4UQDwJngXFa8XXACCAWyAfuB5BSZggh3gL2auXelFJWerf/TZWIhny0jZCABsyZ0Omaj5GQWcCRhGxeGh5cg5FVTgjBqsd6VVrmjrAA3vn1GF/9fZYOAQ1YtT+er3afpZWPK/f3bk6YSk7KTeZcej5zNp0kp9DA4/1bWTucekFKObGCTYPKKSuB6RUcZwmwpKrnrVYi0vqLrwCaAXHAOK273qXlpgCvaE9nSSmXX7J9LdBCStmhOvFciV8DR06n5VXrGBu13mlD6tjFTjdHO+7s3Jjv98WTcLGAv06nE9zIjS0nUvnjWAobn+uHv7uTtcNUlFpxLj2fIXP+pMhgYlJEE0IDVW2oLqvuNaKKbnSyuNLNTUKIMUCtDJbWwseF06l513wdRUrJmkOJtPJ1pbm3y5V3qGX39mhKkcHEnrgMZo8J5ben+/LzE30wmEy8ujpaXT9Sbhpf7DiNyQSbnruFt+8MtXY4yhVUNxFVdKNTaRXe3CSEcAWeA2ZVM44qaeHtQm6RgdScomvaf+vJVA6ey2RKz6Y1HFnNCG7UgFdGtmPp1G5M6G4ePLWJlzPP3tqGP44l81ep0RwUpSYV6o0s3xXH7N+OcyQhyyoxmEySmauimPXLUVbuO8/oTgG08HG1SizK1anuNaKKbnQqrbKbm94CPsR8oatS2o1X0wDs7e2vKdiSP8pTqXmV9lLbfDyZRg2caB/QwLLOZJK8t/4ETRo6M75bk2s6f214qG+Ly9ZN6dWMTzbHsmp/PL3KuWlWUaoju1DP7R/v4Gx6PjY6wWd/nuLZW9vw1KDavWl0ffQFVuz756NmWr/L/xeUuumKiUgI8QdQ3gWRl0s/kVJKIUSV236EEOFASynls0KIZlcqr914tRDAxcXlmtqYWmgDip5Oy6VnS69yy0gpeea7SJp6ufDzk30s6yPjMzmWlM17d3e8uvlKTEbQWbfLqKOdDSNC/fk5KpFZow04299UfVSU62zJjjOcTc9n8ZSudG3akDd/OcpHf5zk9+gLeLnaM7F7E4aFNLqu9+4YjCY+3HCC1r6uzJkQTnJ2Ia183a7b+ZSadcVPVCnlrVLKDuU81lDxjU6lVXRzU0+gqxAiDtgBtBFCbK3ey6lcgLsTjnY6TqdW3GEhJaeI7EIDhxOyOHjuIp/9eYq4tDyOJWUD0LNF+QnsMgn74edn4L3mkBxdA9FXz5jOjckvNl5xdHBFuRpZ+XoWbz/DsJBGDGrnh7uzHe/f3ZGnB7XGy9Wes+n5PP71AZ749gDGa5wi5Uqi4jOZ9MVuTqXm8fyQtoQEuDMwWM2yWp9U96txyY1Osyl7o1NpvwPvlOqgMAR4SetXXjJaazPgFyll/2rGUymdTtDMy4XTqRX3jYhJ/mfb/cv2kpmv50JWISYpcXWwJdCzCj3PEvbDooHmZTtnWP0YPLQJbKw350m3Zg1p7OHE2shE7uwUaLU4lPqvUG8kOjEbdydb3vj5KDlFBp6+9Z/74XQ6wbOD2wDmQUY/33aK99afoIHjYf4zJtTSXFdsMLEvLgMnexvCAj0qrTGVdLS5tKkvJaeQ+xbvwd5Wx5ujQhgaohJQfVTdRFTujU5CiK7Ao1LKh67l5qbrqaWPK0cSK76YGpOSA8DAYF82H0/B0U7HgXMXcbS1oW0jt8rbvJOPwtHV0OMxuH0uuDYCYxGsnAyHvoXOk2v41VSdTicYGtKIr3afJa/IgIuDap5Tqk5KybrDF9gek8r66Atk5usBsLfVMXtMKO38G5S7n41O8Hj/VhQUG/l4cyxujraEBnqwIfoCf55IJafIAICvmwP3926OSUs4E7oF8fHmWNJyi+jQ2J3P/zxFAyc7xncLwtXBluTsQnRCcCg+iwK9kR8f70VL1TGh3qrWp5GUMp3yb3TaBzxU6nmlNzdJKeOA63oPUYnm3i78diSJQr0RR7vLr93EpOTi4WzHf8eFsSM2jaOJ2Xy+7TROdjaMCg+o+MCF2eaaT8YZiHgUukz9Z9uIDyB0bM2/mKt0a3tfluw8w/aYVIZ18LesT80p4qeD8fi4OajaklKub/ac4+WfjuDmaEu/1j6M7OhPRl4x3Zs3pI3fla/FPDe4DZn5ehZtPwOAt6s9I0L9Gdzej7xiA9/vi+fd9cct5f+78SQmKWngaMcvUUl0bepJsdHEe+tPAOYEB+Ya18xhwSoJ1XM33dfibs0bYtpiHi9ubDljxcUm59La1xUPZ3tu6xiAi70tn249RW6RgeAKvvVh1MN390DyERj/NTg3LLu9+8MgJZzdBQ5u0Mg69zV0a9YQdyc7Nh5NsSSiuLQ8Rs7bTl6xEQAnO1uGdahbN+sq1pWUVcDsdcfp1dKLLx+MsCSBqyGE4I07QggL8qCZlzOdmniWOc6o8MacSs3F3cmOuLQ8Pt92mnt7NCWieUNiU3Jp798AISAzX4/BJPF0tqPQYOJkcg7hgR41+GoVa7jpElG/1t6EBDTg062nGNM5sMw/g5SSkyk5DC9VW+jc5J/pFoIbVfDN78/3IG473LkQ2lYw/5OhyJysmt8C45aXX+Y6s7PRMaCtD5uPJ2MwmrC10TF/SywGk2TN9N78e200z62MpL1/P5p4VW2sPOXGJKXkcEIWK/aeZ+2hRPQmE/8ZE3pNSaiETie4u0vFNe6SWo23qwNdm/3zZa5D439GRfB0+efWDVcbXZn/T6X+uulG3xZC8OTAVpxJy+PXw2Wn4E7LLSYzX09r33+q+e7OdrTxMz9vW14iunAYtn8IYfdA2PiKT2znaC5z/BfILa9zYe24IzyAi/l6Vuw7z/mMfH46mMDE7k0IC/Lgs3s7IyV8sOFEhftLKctMha7cOLIL9bz/+3EmffE34W9u5I5PdrJqfzy3tvNj5SM9aepV90YTUW4MN12NCGBI+0YEuDvya1Qid4T9c93nj2PmWVBb+5Vtbx4Q7IutTld2SgeTCXQ68GoNIaNh+Owrn7jLVPj7U9gxB4a9U/0Xcg0GtPWlWzNPPtoYw8p98eiE4NFbWgLg7+7Eg32a88mWWKb1a2H5JhqXlseayEQu5hfzS1QSbfxcr7mJRqmbjCbJk98cZHtMKh0auzMi1J9OQR4MC21U6VQmilITRH0cf8zFxUXm5VVv8NKXfjzMz4cSOfjvwdjZ6Pjq77O8uuYInYI8+ObhHmU6MphMEpOU5knwTEY4/D38+S5MXAE+ba7uxD8/DQe+hEf+NF8r0muzqtrV3oCkB89d5M5Pd+HqYMsHY8PKXBPKLtTT//2tuDjYsHRqd5o0dGbY3G2cTs3DzkYQHuTB3riLzBjalukD1IjGNwKD0cTrP0fz1d/nePvODkyKqJtDWCnVJ4TIl1LWuartTVkjAriljQ/f7jnHgbMXycgr5tU1RxjY1pf5kzpf1ptOpxPoEOZOCV/fDae3gn8Y6K8hGQ56DY79AlErzYloy9uw6xPwbgPdHjR38b7OSalTE0+WTO1KSx/Xy5pbGjjasXRqNx5cvpc7P91JvzY+nE7NY/GUrgxq54eUkie+PchHG0/SMdCdvq19rmusyvWVmV/Mo1/t5+/TGUzr10IlIcUqbtoaUU6hnk5vbiSiRUP2xV0kJKDBZTWhy6z/P/h7vrk7dtcHzU1z1+L8XnPvOd9guBgHkd/Cqc0Qv8ecnMZ9CQ2bX9uxa8j5jHye/u4gB85lcksbH5bd381yD1VWgZ7xn//F2fR8Fk3uSp/W5vHr9sZl8OeJVExS0jHQg35tvNVwQnWU3mgiOjGbmauiOJOWx3/GhHJXJR0JlBtDXa0R3bSJCGD853+x+0wGIQEN+PLBCBq6VDKY6roZsGchdH8ERrxX7XOX68R6+GmaubnuhTPg4ApFuZCbDLYOkH4K8tOg1WBwrKAreQ0yGE38ejiJXi298XFzKLMtNaeICQv/4lRqHsNCGuHhbMeKfecRmDuEGE2SFj4ufPtwD/wuGWA2I6+YjzfH8MP+eLzdHBgU7MuDfVqQW6QnwMOpTPKSUpJXbMS1CjfgFhQbmb8llu2xaeQU6Onb2pv2AQ0ICXAnJKABQggK9UZiU3Kxs9HRqIEj7s43z/UPg9FESk4RW06k8N8NJ0nPK8bF3oZFk7vSq5UaDPdmoBJRDaqpRLT5eDLrDl/g37e3L/+CbPJRc2+3hi0gZiOkHoeIx8Cmat/ypZQIITiTdQYbYUOTBk3QG/XY2dghpeTExRP4u/gTmRLJ/Mj5vNX7LdoKR4j9w9xMZ9TDvE6Q9c+IwrucHPmioRcv3vkDbbzbVfs9qI6CYiNzN8Xww4F40nOLuKtzIG+MCsFWp+PPk6k8891BPF3sebhvC0Z3aoy7kx1bTqQw4/tDZOQVMyLUn4JiI1tOpFDSEc/eVkegpxPpucU09nAiq0BPQmYBPVo0pJ1/A9yd7Lgnogm+bmWTW1R8Js98F8nptDwimjfE2d6GXafSKTKYAPONzB7Odpy4kEO+ds8UgF8DB/q19mFAsC89WnhV/mWkDjMYTew8lc7eMxkcS8omq0CPv4cTiZkFGIwmGns6sTM2nawC84gI3Zs15L6eTenRwuuyLxnKjUslohpUU4moQgWZ8MfrsH8ZdBwHYxZWede0gjS8nbz57NBnxGbG8sEtHzB69Whaebbi/X7vM/KnkYxsMZKe/j2Zsn4KH9zyAZ18O/HEpidYNGQRq2NXk1aQxnNdnkNknYfD35Pn7MXcxE3cFTSIbGBuzHcsuvMn1ses4diBRbzQbza2Qd0ASMlL5tUdr9CzcW/GNu7P9v3z6dhiGAEtLhsAo0YZTfKyXnQHzl3klZ+OcDQpGw9nO9r6ubH7TAZt/dyYOzGc4EbmWt2JCzlsPZGCt6sDR5OySbhYgJerPecvFuBoq6Olryvrj1wgLaeIvGIDdjY6ujbz5JY2Pkzu2YxF204zd1MMPm4OfDg2zPLtXm80cSGrkG0xqWw+lkKRwURTL2d6tfTGJCUXsgqJPJ/JtphUcgrNQ800auDIre196dfah7Agj8tqc3VNdqGeLcdT+HhzLLEpudjqBK18XWngZEdiZgH+7o7Y6nTEpefRs4UXXZs1pJm3Mz1beNXqFA1K3aASUQ265kSUeQ5+fR7u+ATcLhkc0VAE0avNtZETv5k7IkQ8Cv1mXD5SApBZmIm7gzvR6dEsObKE//T9D2ti1zBn/xx+u+s3lkcvJ7s4m5e6v8SuxF34OPvQrEEzPjv0GR19OjIgaADrzqwjwj8Cb6d/mkVm/T2L1PxU5g6cy5Obn8TbyZunOz3NmLVjeDD0QSa1m2QpO+/Pl4g8sZrFiYk8FtSMvjgxLjOTyf4+vD7sC/Rx25h4eB4fJafS2aMNh9sMoE/Y/di4+SNt7DHlp/OvP58ntEFLHvDqzE+ZR/ENjKB30C1X/95WIio+k/d/P8Hp1Dzu69mUqb2aVX4trhJxaXks2xXHnjMZHE3KxtXBltwiA3eEBfDWqA7X1NRmMJo4eD6TyHOZHDh3kS0nUijUm2tSvm4OdAx0p2OgB6GB7nRs7I6XqwMGo4kD5zKJis8kJaeIhi72hDZ2JzTQvca6O0spScoq5FxGPi28XXBztCM9r4jD8Vn8Hn2BfWcvkphZgEmaa3zPD2nDwGBfdV1OqZBKRDXomhNR3E74eqw5sYRNgLCJ4NHU3NRmKIZ3m4KtIwSPNA/L4x9m2VVv1BOdHk1z9+ZEpkTy1JanWHHbChJyE3h/7/t8PPBjLuRd4EzWGca1HYej7bV/ky5p0pt3YB5u9m7c3+F+8vR5uNhd/vejz0vH7sAyXopbQwup42HXNtBmGHQYQ7GhiDOJe2iZGM3XUYv4wKGYH+OTWN/+VjIateM1337MWP8gIUXFjMzLY1BQY/6VU8jE9pN528nE8MCB+Fw8xxcXtjOl7QSSi7N558CHvNX8Ltp1ehCd0OFsZx6BwWQoRmdjR3phBsXGYhq5NLru37h/j77AZ3+eYmqvZowKb3zlHaqooNjI0aQsouKzOByfRVRCFqdScyn5V3FztEVKyNUG7LS31VGsNQECONvb4NfAEV83B7xc7TGZID4zn+TsImx1AhudoFEDR3q29KKNnxstfFzwcXMgJbuIpKxCkrIKOJ2ax8ajySRkFpQbo4ezHX1aedPSx5U+rb3pfMmQOYqVSWm+1lucZ/5SW5wHwsbcQelSaTHmL79JkXC3NiTnhlfN+zg2MHdssnOBC1HmL9HX2kmKKyciIcQwYC5gA3whpazCDZLVd1MlIpM0kXbqDxps+xCH83swAjYNGmN46A9OFqXjV1yInWdLVsZ8T9/Avng4ePB/O/6PBzo8gJejF+N+GcfsvrPpGdCTr45+xdg2Y/F39b/ieesCvbGYyOgVdNMbmZN9lAx7R17v/Cy6hP3mfxoXb/IyTmMfs5F9ru68kX2IWSHTcPlxGg828mNVYhIXdTr+596Atx2as6jr3aw8uZLNKTl85GBii8jn54RkXvX1YZujA1unRvHN8W9IOPwtL0gPjtiA3saeTg7eLDckk+fXnscjZrLu6DcUFWZyZ9Ag9qZHY8BET+8w9uSdJwfJoEYRLI9ahFEaeaDVXURePIGrrROtvEPQO7ljMupxyM8grTADCfg4eZNmyMfZyQtnJ0+klBikATudHWn5aeiQNLR3p0Cfj62tE3Z2DuYvIdIEQgdCaD+1ZU1OoZ7oxGwOx2eRkFmA0STp1dKLbs0b4u3qQHahnv1nL3LyQg4pOUUkZxeSkl1ERn4xAmjk7khjDydMUmIwSk6l5XE4PpOKBqmwt9HRu5UXA4J9CWroTFxaHgV6I+5OdrTzb0BoY3fsbK7fwCilp10wSXOS1QkdJmlCSomNzgajyXytzUZng8FkTsq2wga9sRiQ2Alb87IAOztnio3FCJPEzlhIUW4yojAT+6JcioxF6IJ6YufkAdmJ5g9gG3tzK0VxLhgKoWFLcytGUQ7kp4ONg7kDj62D9ruyAVt789+yodD8U5rMD7Q32VEbKuhinLkTELLU71oHXq3Mk1gmRUHOBbCxRaKDvFREXiqmlgPApy26s39hPPgVFOdio88nvjgLqc8jqM0dbGjeBZucZAb98CQn7GzxMhrxNpmIs7XFzr0xjZ+M4lDqIZy2vEcbnQNxSftwzIzHz2hkRYsu+A94jVuCbmHlkl74Z6XQN+cimxzt8DIaCbf35uI93+FZ6gvy1aosEQkhbICTwGDMM2nvBSZKKY9e8wmr6Kaqw2cWZTJo5/O81PMlho/6hH6/jOF1h5b0yU1iwobJvNrjVQZ6NmXewXm4O7gztNlQjCYjJmmitWdr5vSfQxe/Lng4evBU56es/XKuip2NPd063gfA01qNC4BWt1rKuAR0gg530RNYD1CcD/etY3NuMo6F2QQU5fCuf0fwakWfgmRyCtMRNnEE55/H3qUBtLiXu3LPMchUjBCC+Jx4zhRnQlYan9vnkiBM/JiWS4yrDVl25g/RtZELyclJ5M61L/GFnw+5Oh09k5JZ0qEvafaODMrJImrPx+iFgHVv8b6/H05S8kXDXkx2LsbD1pkFf6/iyQA/3I0mPktO5Wl/P1yEDQunHWP8L+PxSznJx+fP8HhAI7yNRj5NTmVqgB9egT35dMRy7lsxEK+sJOakpHGfvx/eRiMfpaQxpX0PvHxD+K9PX57cMRMvo4kPM3K439cTL6OJ4XIgDybqaWjrwvt7VvOllwsNTSY+yCzkfi9nmtjas/K5Q0xdPxWvpGhmn77IVA8HGkrJmgIDU1rY4dCoB6ObzWLJ/rE0Lkzng8xiHvBywMsEc9KKuS++Fd6F7fjIfzD37ZiBlwkmbTdwr4ctXibJ3Ea3Msk2HS9bN+Yd+I1JXs40NEo+vpjHPd6ueAlbPn7oMBN/mYh3ynE+Tkxkgq8n3iYjn6RcZEIjL7wCezJ/xDLGf9UL75wU5ienMSHAD2+jifmpF5nYNhxv77bMbzSYibteMq9Py+QeXw/zsk8/Jjnm4m3nxvy/vufekn2TU83L2DJ/2lHu++0+vJOPM/98HJNLlZkc4EfDwJ4sGLGcB34ej3dmAu+lpvNAI1+8jUbzcofeePmE8L5HV6b+9QreRiMfpKYzxd8Xb4ORDxsNYrJzEd62Lvx35zdlfo+T/P3wEXbMmRbNpF8n4Z0YxdyEc9yjlZmXYn69Pk378fHQLxj/xzR8ctP4JDmV8QGN8DUa+SQ5lQntu+HrFcwnvv2ZmLEdX2z4xNiQp+2zCHBy5GMXbxYdXkSQsx+D+s1gxoXfaOvky/vN7+bJE4sIdmvK+8ArO14hOO8C72cW8KSXI8GB/Xl/wFy+3vI4HeLWc0vQLSx0c6ZX23vo2+sNZq8aTIRPOOF9Z5ORc5brOLpedyBWSnkaQAjxHTAKUImoJjnZOvFqj1fp5NsJe9cApodPp3mj7nj5hDJ3wFzae7XHy9GLvZP2WprWlg//Z4DSQU2v7wX/2lLlJjN7ZwjqTnmNjKGuvoT6mEcRH1FqfXip5ZndZ0L3mQDMyD5HsbEYPFsxy1AMOvOf3oJ+H6DPOAXChjeKs9FLA9h78ppnIO6NwiA3lQ/7vGP+hovk7aJ08gxFENCdiaZM7CXgewuPZsVip9NBt6bcf/Eodtr07OPajsPZYRc09+KxwiQcdLYQ0phJuWdwbGn+fQ4LGoiLZyp0aMnQrKO4CFto34JB9iZcfYLBrTUDfLvhImygdTP655zEWdhA81voY1toLh/uTL/8U7hgA02C6J93xtJsOSBoAC56W/B2ZUDBWVyFLfgHMKjwHC5NezMi1J/05AhcMs9jF9iYoQXnzOdq3JhhHg1x9usAzn4Ma9AWZ3TQyJ/hRQnm8zbuwkhnO3N5gxu3FZwzr28axB0FZy3NuaNbjcbZZjsEejImPw4nYQutmjIm7zTOzYYCcFeTwbhkJ0HbptydE4OzzhZaBzLW1RVn3/bgFMhY7y646GyhZRPG5Z/FWWcHzYYx3lFnjs2+JRPyTuMk7KB9MybknMLJ3vw+TAyeiJPDTmjfjHvyz+Pk6AGB/bgneTcu3m0B6NtsKC5FOdArlD5p+3F1aACN+9P3YhSuDQLAuysDkkfggg66tGFg2j7cdPbQ8g4GG9PM7/+g1ubfo40DhAczIjMaF3vzOJEjW4zE1b0d9A7l9pTduAg76BfG6JTduPh3Mr8PHabgbDSAbzfGxm/B2dkb2t7N2LMbzMdpMYLxDsL83jYfxvOJu8zLPmF8mj/avGznzL8vDDXXJv2785JPM9y0GGb3nY2TnRO4t+DFhJ242ruCRxDfjPzG8vtaN2adeV8hWDZ8OQ42DmBjS3P3at9faCuE2Ffq+UIpZUlvrMbA+VLb4oGI6p6wKm6qpjlFUZSb2RWa5u4GhkkpH9Ke3wdESCmfuN5x3XSjbyuKoijlSgBKT9IWqK277lQiUhRFUcDcOaG1EKK5EMIemACsrY0T31TXiBRFUZTySSkNQogngN8xd99eIqWMro1zq2tEiqIoN4m6ekOrappTFEVRrEolIkVRFMWqVCJSFEVRrEolIkVRFMWq6mVnBSGECSh/NMi6xRYwWDuIKqpPsUL9ibe+xFmivsUL9Sdma8eZDyCl9LFiDOWql4movhBC7JNSdrV2HFVRn2KF+hNvfYmzRH2LF+pPzPUlTmtQTXOKoiiKValEpCiKoliVSkTXV9XnGLe++hQr1J9460ucJepbvFB/Yq4vcdY6dY1IURRFsSpVI1IURVGsSiUiRVEUxapUIipFCBEkhNgihDgqhIgWQjytrW8ohNgohIjRfnpq6ycJIaKEEIeFELuEEGGljjVMCHFCCBErhHixknNO0Y4bI4SYUs72tUKII3U5ViHEVm3/SO3hW8fjtRdCLBRCnBRCHBdC3FXX4hRCuJV6PyOFEGlCiDkV7F8nYtbWT9SOGyWEWC+E8K7j8Y7Xjh0thHi3DsS5XgiRKYT45ZL1zYUQu7X9VwjzNA03DimlemgPwB/orC27ASeB9sB7wIva+heBd7XlXoCntjwc2K0t2wCngBaAPXAIaF/O+RoCp7WfntqyZ6ntY4BvgCN1OVZgK9C1vry3wBvALG1ZB3jXxTgvKbcf6FeX31vMN2ymlLyf2vlfr8PxegHnAB+t3HJgkLXi1MoOAm4Hfrlk/Upggrb8GfBYbXwm1tbD6gHU5QewBhgMnAD8tXX+wIlyynoCCdpyT+D3UtteAl4qZ5+JwOelnn8OTNSWXYEd2h/+ZYmojsW6lSskojoW73nApa7HWWpdGy1mUZdjBuyAVKApIDB/YE6rw/F2AzaVWn8f8Km14iy1vT+lEpH2XqYBtuUd70Z4qKa5CgghmgGdgN2An5QySdt0AfArZ5cHgd+05caYPzhKxGvrLlVZubeAD9GG5ajjsQIs1ZqQXhVCiLoarxDCQ3v+lhDigBDieyFEeeesK+8rmGfKXCG1T6HKWDNmKaUeeAw4DCRi/hK1uK7GC8QCbYUQzYQQtsBoyk6VXdtxVsQLyJRSlgwPdLX713kqEZVDCOEK/AA8I6XMLr1N+zCQl5QfgPkPb2YNnT8caCml/Kmux6qZJKUMBfpqj/vqcLy2QCCwS0rZGfgL+KAOxlnaBODbKxWydsxCCDvMiagTEABEYf72XyfjlVJe1OJdAWwH4gBjXYvzZqAS0SW0f6YfgK+llD9qq5OFEP7adn/M7eAl5TsCXwCjpJTp2uoEyn6zCgQShBARpS4+31FROcxV765CiDjMzXNthBBb62isSClLfuZgvqbV/dJY61C86ZhrmSXn/x7oXAfjLDl2GOYmmf1Uoo7EHA4gpTylfUCvxHzdpK7Gi5TyZyllhJSyJ+Ymt5NWjLMi6YCHVmsrE/8Nw9ptg3Xpgbkt9n/AnEvWv0/Zi5PvactNMFfve11S3hbzBdHm/HNxMqSc8zUEzmBuT/bUlhteUqYZ5XdWqBOxavuXXJy2A1YBj9bVeLVt3wEDteWpwPd1MU5t+2zgjfrwd4u5FpTEPxf/3wI+rKvxatt8tZ+eQCTQxlpxlirfn8s7K3xP2c4Kj1f2N1HfHlYPoC49gD6Yq9lR2h9lJDACcxvtJiAG+KPUH/EXwMVSZfeVOtYIzN+uTgEvV3LOB7Q/3ljg/nK2N6P8RFQnYgVcMPfoigKigbmATV2NV1vfFNimxbIJaFIX49S2nQaC68vfLfAocEyL5WfAq47H+y1wVHtMqANxbsfc4aMA87Wgodr6FsAeLf7vAYfa+lysjYca4kdRFEWxKnWNSFEURbEqlYgURVEUq1KJSFEURbEqlYgURVEUq1KJSFEURbEqlYgURVEUq1KJSFEURbGq/wdkl4M5y1r4ZwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(data=dfKNMI['relatieve vochtigheid gem. 24h [%]'], color='orange')\n",
    "ax2 = ax.twinx()                                  \n",
    "ax2 = sns.lineplot(data=DifferencePerDay.loc[:, ['Total_reported_rollingmean3days', 'Hospital_admission_rollingmean3days', 'Deceased_rollingmean3days']], color='green')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}