{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cs224 \n",
      "last updated: 2020-08-03 \n",
      "\n",
      "CPython 3.6.10\n",
      "IPython 7.15.0\n",
      "\n",
      "numpy 1.18.5\n",
      "xarray 0.15.1\n",
      "scipy 1.5.0\n",
      "pandas 1.0.5\n",
      "sklearn 0.23.1\n",
      "matplotlib 3.2.2\n",
      "seaborn 0.10.1\n",
      "pymc3 3.9.2\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -a 'cs224' -u -d -v -p numpy,xarray,scipy,pandas,sklearn,matplotlib,seaborn,pymc3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np, scipy, scipy.stats as stats, scipy.special, scipy.misc, pandas as pd, matplotlib.pyplot as plt, seaborn as sns, xarray as xr\n",
    "import matplotlib as mpl\n",
    "\n",
    "import pymc3 as pm\n",
    "\n",
    "import theano as thno\n",
    "import theano.tensor as T\n",
    "\n",
    "import sklearn, sklearn.linear_model\n",
    "\n",
    "import datetime, time, math\n",
    "from dateutil import relativedelta\n",
    "\n",
    "from collections import OrderedDict\n",
    "\n",
    "SEED = 42\n",
    "np.random.seed(SEED)\n",
    "\n",
    "pd.set_option('display.max_columns', 500)\n",
    "pd.set_option('display.width', 1000)\n",
    "# pd.set_option('display.float_format', lambda x: '%.2f' % x)\n",
    "np.set_printoptions(edgeitems=10)\n",
    "np.set_printoptions(linewidth=1000)\n",
    "np.set_printoptions(suppress=True)\n",
    "np.core.arrayprint._line_width = 180\n",
    "\n",
    "sns.set()\n",
    "# sns.set_style(\"whitegrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:70% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display, HTML\n",
    "\n",
    "from IPython.display import display_html\n",
    "def display_side_by_side(*args):\n",
    "    html_str=''\n",
    "    for df in args:\n",
    "        if type(df) == np.ndarray:\n",
    "            df = pd.DataFrame(df)\n",
    "        html_str+=df.to_html()\n",
    "    html_str = html_str.replace('table','table style=\"display:inline\"')\n",
    "    # print(html_str)\n",
    "    display_html(html_str,raw=True)\n",
    "\n",
    "CSS = \"\"\"\n",
    ".output {\n",
    "    flex-direction: row;\n",
    "}\n",
    "\"\"\"\n",
    "\n",
    "def display_graphs_side_by_side(*args):\n",
    "    html_str='<table><tr>'\n",
    "    for g in args:\n",
    "        html_str += '<td>'\n",
    "        html_str += g._repr_svg_()\n",
    "        html_str += '</td>'\n",
    "    html_str += '</tr></table>'\n",
    "    display_html(html_str,raw=True)\n",
    "    \n",
    "\n",
    "display(HTML(\"<style>.container { width:70% !important; }</style>\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 1\n",
    "%aimport covid19"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* [Corona-Hub von www.npgeo.de](https://npgeo-corona-npgeo-de.hub.arcgis.com/)\n",
    "    * [RKI COVID19](https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0)\n",
    "    * [CSV](https://opendata.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0.csv)\n",
    "    * [Robert Koch-Institut: COVID-19-Dashboard](https://npgeo-corona-npgeo-de.hub.arcgis.com/app/478220a4c454480e823b17327b2bf1d4)\n",
    "* [Priesemann-Group/covid19_inference_forecast](https://github.com/Priesemann-Group/covid19_inference_forecast/commit/4d34d342cd8e58c18b5107ce38c537d4e83bc561)\n",
    "    * [data_retrieval.py](https://github.com/Priesemann-Group/covid19_inference_forecast/blob/master/covid19_inference/data_retrieval.py)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* [data source description](https://www.arcgis.com/home/item.html?id=f10774f1c63e40168479a1feb6c7ca74)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* [DRP Austria Covid-19 Hub](https://covid-19-drp-austria.hub.arcgis.com/)\n",
    "    * [Dashboard](https://experience.arcgis.com/experience/fb603473e1f74f0bbae48155ff238565)\n",
    "    * [Daten](https://covid-19-drp-austria.hub.arcgis.com/search?categories=covid-19)\n",
    "        * [COVID19 VERLAUF BUNDESLAND](https://covid-19-drp-austria.hub.arcgis.com/datasets/covid19-verlauf-bundesland?orderBy=genesene&orderByAsc=false)\n",
    "    * [data.gv.at](https://www.data.gv.at/covid-19/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>death</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_recovered</th>\n",
       "      <th>new_death</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-29</th>\n",
       "      <td>208959</td>\n",
       "      <td>193483</td>\n",
       "      <td>9135</td>\n",
       "      <td>595</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30</th>\n",
       "      <td>209486</td>\n",
       "      <td>193483</td>\n",
       "      <td>9144</td>\n",
       "      <td>527</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>210009</td>\n",
       "      <td>193483</td>\n",
       "      <td>9147</td>\n",
       "      <td>523</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-01</th>\n",
       "      <td>210305</td>\n",
       "      <td>193483</td>\n",
       "      <td>9154</td>\n",
       "      <td>296</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-02</th>\n",
       "      <td>210395</td>\n",
       "      <td>193483</td>\n",
       "      <td>9154</td>\n",
       "      <td>90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            confirmed  recovered  death  new_confirmed  new_recovered  new_death\n",
       "index                                                                           \n",
       "2020-07-29     208959     193483   9135            595              0          4\n",
       "2020-07-30     209486     193483   9144            527              0          9\n",
       "2020-07-31     210009     193483   9147            523              0          3\n",
       "2020-08-01     210305     193483   9154            296              0          7\n",
       "2020-08-02     210395     193483   9154             90              0          0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = covid19.get_rki_df()\n",
    "cbr_germany = covid19.CasesByRegion('Germany', df=df)\n",
    "cbr_germany.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f572fb7a828>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_germany.plot_daily_stats()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " /home/local/cs/workspaces/covid-19-data-analysis/covid19.py:1526: UserWarning:Exception in curve_fit: Optimal parameters not found: Number of calls to function has reached maxfev = 600./ None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sigmoid+asymmetric+linear: seor: 303.88584981440266; growth-rate: 0.002, date:2020-09-10 00:00:00, projected value: 390.8530294495339\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2560x640 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_germany.fit(first_date=pd.to_datetime('2020-03-09'))\n",
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_germany.plot_with_fits(ax=ax, restriction_start_date=datetime.datetime(2020, 3, 22))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# country_name, first_date, init_add, restriction_start_date = 'Germany', pd.to_datetime('2020-03-09'), 0, datetime.datetime(2020, 3, 22)\n",
    "# ldf, lpopt, lpcov, lsqdiff, lgrowthRate, idx, label = covid19.prepare_country_prediction(country_name, in_df=cbr_germany.df, first_date=first_date, init_add=init_add)\n",
    "# if len(lpopt) == 4:\n",
    "#     steady_state_rate = lpopt[1] * lpopt[3]\n",
    "# else:\n",
    "#     steady_state_rate = 0.0\n",
    "# print(label, ldf.index[-1], lpopt, lgrowthRate, steady_state_rate)\n",
    "# fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "# ax = plt.subplot(1,1,1)\n",
    "# ldf[['confirmed', label + '_fit']].iloc[1:,:].plot(ax=ax, marker=mpl.path.Path.unit_circle(), markersize=5);\n",
    "# ax.axvline(restriction_start_date);\n",
    "\n",
    "# ax2 = ax.twinx()\n",
    "# ldf[[label + '_fit_diff']].iloc[1:,:].plot(ax=ax2, color=['steelblue']);\n",
    "# lbl = 'confirmed' + '_diff'\n",
    "# ldf[[lbl]].iloc[1:,:].reset_index().plot.scatter(ax=ax2, x = 'index', y = lbl, c='limegreen')\n",
    "\n",
    "\n",
    "# l = len(ax.get_yticks())\n",
    "# a1 = ax.get_yticks()[0]\n",
    "# e1 = ax.get_yticks()[-1]\n",
    "# a2 = ax2.get_yticks()[0]\n",
    "# e2 = ax2.get_yticks()[-1]\n",
    "# ax.set_yticks(np.linspace(a1, e1, l));\n",
    "# ax2.set_yticks(np.linspace(a2, e2, l));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>fit_diff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4867.318507</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        fit_diff\n",
       "max  4867.318507"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cbr_germany.fit_df0[['fit_diff']].apply(['max'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>fit_R</th>\n",
       "      <th>gp_R</th>\n",
       "      <th>kf_R</th>\n",
       "      <th>ll_R</th>\n",
       "      <th>mean_R</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>0.998</td>\n",
       "      <td>0.843</td>\n",
       "      <td>0.737</td>\n",
       "      <td>0.894</td>\n",
       "      <td>0.912</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            fit_R   gp_R   kf_R   ll_R  mean_R\n",
       "index                                         \n",
       "2020-07-31  0.998  0.843  0.737  0.894   0.912"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cbr_germany.calculate_R_estimates()\n",
    "cbr_germany.R().round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f572f149e48>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
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yy5ZLUjSyv7dTXlvjSNDvHfi9vAO/ix5gx6KR/eUrZJdFQb8Rz0rjOwAAAADO3lz/iGDlylrdccfH9PWvf03f/vYTM+4zkZNz7rcrb1Kh/rn63e9+p5KSEhUWFkqSGhsbxwX/K1euVBAEOnz4sGpra8/6+QsKsqesVgAAAACYjULPVaLhVfXseEqDh6Px0c6CCuVu+YByL7pOVnZ+misEgFmoJE9atlzSH0qS/MGEhpoaNNhUr8GmBg21NMpvqVNSkmQoVrpI8apaZVTVKqNqleyCshn3oSEAAAAwlu/76uw0ZdumTNNMdzkTsixDpmnIMAzZ9tvXaVmj62655f36znce08svP69rr33ndJc6KUEgmaapoqIcWdbkJ4BNW6jf1NSk+++/X5/73OdG7uvv71du7uiYR8MwlJOTo76+vnN6je7uhDwvOO9aAQAAAGC28U+0yd2zVe7elxQO9kqmJXv5ZYqtvk5WZa08w1DXgKSB3nSXCgBzQ0GNVFCj2Nqb5PieguNvjXTzu22NSr72lHpfe0qSZGTlj4zst8tropH91rT21gAAAABnJQgCBUEgzws0gzN9+X6oIAgVhuGkcmHfH11nmrZuu+3DeuyxR3TlldfMiI23w9/3Y8f6xm2msG3zjA3t0/LbRFtbm+666y59/OMf13vf+96R+7Oysk4J8Pv6+pSTk3NOrxOG0RcAAAAAzAeh78k7tF1u3Vb5LXWSJCO/TPFL3it75RaZmXmja/ldCQCmj2nLLK5WrLhaWntjNLK/7+jIuH6/vVHewe3yDm7TkCRZMVml1amgf4WsshoZcSZQAgAAIH1mw+cGP/jBTyRJl19+5VmtH+uOO+7SHXfcNZVlTYmTc+63++8x5aF+e3u7PvrRj+r222/XXXfdNe5YTU2N6uvrddNNN0mS9u7dK9M0tWTJkqkuAwAAAADmjOBEu5J1W+XtfXG0K3/ZZjmrr5NVuXpG7DQHgPnMMAwZuSUyc0vk1EQfOIbJAfkd+1NBf6P89v3yWxtGHmMWVo5081tlNTLySvn3HAAAAMBpTSrU9zxPvu/L8zwFQaChoSGZpinHccata29v1x133KGbb75Zn/jEJ055ng984AO69957ddNNN6mqqkrf/OY39d73vleZmZlT824AAAAAYI6IuvJfk1v37GhXfl6pYhe/R86qq8Z15QMAZh4jlim7aq3sqrWSpDDwFRx/a7Sbv61Rbv1zcuufi9Zn5o3r5DeLl8iwnDO9BAAAADCvPPXUL/SP//iVU+63LEu//OXWC1/QBWSE4dsPV3jwwQf10EMPjbvv1ltv1de+9jWtX79ejz76qDZt2qSHHnpIDz74oLKyssat/dnPfqbKykpJ0ve//3098sgjSiQSuuaaa/TlL3/5nMfvd3UlJnXuBAAAAACYLYIT7VHI0/DCaFf+0o2prvxaGcYMPtEdAOCsBH3HRjv52/YpOH5kdO6mZcsqWSarbMVoN3/GuX2GBgAAAJwsCAJ1dLyl0tJF487tjuk10ffdtk0VFk58iq5JhfozFaE+AAAAgLkg9D15h1+TW/ec/ObdkqKufKf2OrryAWAeiUb2H4g6+dujjn65gyPHzYKKqJs/FfQb+eWM7AcAAMA5IdRPj3MN9Sc1fh8AAAAAMPWCng65dVvl7n1R4UCPZFiyl10qZ/U76coHgHkoGtm/RnbVGklSGAQKuprGdPM3ym14Xm7D89H6jFxZZStkltVE3fzFS2TYsXS+BQAAAADTgFAfAAAAAC6gMAjkHdout27raFd+bolimz8kZ+VVMrPy01whAGCmMExTVtFiWUWLpTXXS5KCRNdoyN++T96R16XDO6IHmLbMkqWyympkl6+UVbFSRnzibh8AAAAAswOhPgAAAABcAGHgy9v/qpKv/VjBibaoK796U9SVv3A1XfkAgEkxswtlLt8sZ/lmSVLoDsnvPDAu6A/a98l94xeSDJlFi2RV1MqqXCW7fJWMjJz0vgEAAAAAZ41QHwAAAACmURj48va9oqEdP1Z4ol1yMhRb9z45a98tM6sg3eUBAGY5w4nLrlwtu3K1JCkMAwVdzfJb98pvbZDfWi9311Nydz2lKOSvikL+ilrZFYT8AAAAwGxghGEYpruIc9XVlZDnBekuAwAAAABOEQaevMbfamjHTxT2dEixTMXW3qjYRTcyChkAcMGEYaigu1V+a738lnr5rfUKB3pGjpsLhkP+VbIqVsnMzEtjtQAAALhQgiBQR8dbKi1dJNNkeuCFMtH33bZNFRZO/HkRnfoAAAAAMIVC35Pb+JKSO36qsLdTimUptvFWxda+mzAfAHDBGYYhq7BSVmGl9I53KQxDhSfa5KUCfr+1Qe7u38jd/RtJkllYFQX8lbWE/AAAAMAZ/MVffEJ79uySZVlynJhqa9+hv/7re7V48ZIpfy069QEAAABgCoS+K7fhRSV3/lRh3zEpnq3YRX8QhfmxrHSXBwDAaUUhf7u81vqRbv6wv3vkuFlYGXXyV9bKKl8lMys/jdUCAABgqtCpf/7+4i8+oXe/+0a9//23aXBwUP/4j19WS0uLHn742xM+hk59AAAAAEiD0Hfl1j+v5M6fKUwclxHPUWzzbYq943oZscx0lwcAwBkZhiGjoFyxgnJp9XVRyN/TEYX8qW5+d88zcvc8I0kyCyrHd/JnFaT5HQAAAGCq/Pzgr7W9441pfY2NpRfrvdU3TGrtbbfdpFtvvU1PP/2Ujhw5rI0bL9XnPvdFPfzwP+uZZ36tBQuKdN99/1vveMdaJRJ9+pd/+We9/PKL8n1f1133Lv35n/+14vG4Eok+ffGL92nPnl3yPE9r116ke+/9O5WXl0uKwvlLLlmvN97Yqfr6Oq1YsUL/6399WeXlFZN+XxkZGbr++j/Q5z//2XP6vrwdtl0AAAAAwDkIvaSSu36jxH/8rYZe+r7ku4pfdruyP/J/FF/3PgJ9AMCsZBiGzPwyxWqvVea77lb2R76u7A//g+LXfEx2zZUK3UG5dc9q8OmHlXjir5X4z89q8IXvyN33ioIxHf4AAADAVHj22af1D//wDf3wh79US0uz7r77Ll111bX6+c+f0fXX36gHHvgHSdJXvvJFJZNJPfHEf+nf/u0Hamp6S9/5zmOSpCAI9Z73/JF+8IOf6Mknf6qMjEx9/etfG/c6v/rVz/WZz/x3/fznT6uoqFiPPvrwWdXZ35/QU0/9QgsXLpqaN34SOvUBAAAA4CyEXlJu3VYlX/+5wv5uGZl5il/+YTmr3ynDiae7PAAAppRhGDLyShXLK5Vqr406+Xs75bc2yBvu5K/bKrdua7Q+v1z2SCd/rczswvS+AQAAAEzae6tvmHQX/YXywQ/eruLiEknSFVdsUV3dHm3ZcrUk6frrb9QTT3xHXV3H9eKLz+sXv3hGWVnRCPs77/wz3X//F3T33X+u3NxcvfOd7x55zjvv/FN96lMfH/c673nP+1RdvUySdMMNf6jHHvvWpOp78MEH9PDDDyqRSKiycqG++tV/Os93fHqE+gAAAAAwCaE7JLfu2SjMH+iRkZmv+BV/LGf1dTJswnwAwPwwHPKbeaVyVkUfpga9nfJb6qOR/a0Ncuufk1v/XLQ+r0x25SpZFamQP2dBOssHAADALFNYOPrzYzyeoQULRm9nZGTI8zwdPnxIQRDoAx/4o5FjYRgqCAJJ0uDgoP75n/9Jr776W/X29kqSBgb6lUwmFYvFJElFRUXjXmdgYGBS9f3lX/6/ev/7b1Nzc5PuvffTamo6ouXLV5z7G54AoT4AAAAAnEHoDsrd84ySr/9C4WCvjKwCxa/8Ezm118qwY+kuDwCAtDNzS2SuKhkT8h8d38lf/7zc+uclSUZeqeyKWlmpbn4zp+hMTw0AAAC8rUWLFsuyLP3kJ7+W4zinHP+P/3hChw4d1COPfEfFxcVqbNyrj33sIwrDcMpqWLiwSp/+9N/oa1/7ki6//ErF4xlT9twSoT4AAAAAnFaYHFByz9Ny3/hVFOZnL1B8yx1yVl1NmA8AwBmYucUyc4vlrNwiSQr6jslPBfxea4PchuflNqRC/twSWRW1siujoN/MLU5n6QAAAJiFcnJydcUVV+mb3/w/+sQnonH7HR3tOnjwgC6//Er19ycUj8eVm5ujnp4effe7j01LHVdcsUVFRUX60Y+e1O23f2RKn5tQHwAAAADGCJMDSu76tZJv/koaSsjIKVL8qjvlrLpKhnXqbm8AAHBmZk6RzJVbxof8rQ1RyN/SIG/vC/L2viBJMnKLo5B/uJM/tySdpQMAAGCW+J//8wt69NGH9bGPfUS9vb0qLS3VLbd8UJdffqVuv/0j+sIXPqf3ve8GFRWV6MMf/hNt3frMtNTxkY98VA8++HXdcssHprRb3wincq7ABdbVlZDnBekuAwAAAMAcEA4llNz1myjMT/bLyC1WbP1Ncmq2yLDYDw0AwHQJEl3yW+vlt9TLa61XeKJ95JiRUzSmk79WRm6xDMNIY7UAAABzQxAE6uh4S6Wli2SaZrrLmTcm+r7btqnCwuwJH8cnUwAAAADmtXAooeSbTym56ykpOSAjr1TxK/5Yds0VMkx+ZQIAYLqZ2YUyV1whZ8UVkoZD/obRkf2NL8lrfEmSZGQvkFVZK7uiVlZlrYzcEkJ+AAAAzHl8QgUAAABgXgoH+5R881dK7vq15A7KyCtT/Mo/kb3iChmmle7yAACYt6KQ/3I5Ky6XJAX93SeF/C/La3xZUirkT43qtytqZeSVEvIDAABgSrz++g7de++nT3vs3//9SRUXX7hTRTF+HwAAAMC8Egz2yn3jV0ru/o3kDsrML1dsw82yl19GmA8AwCwQhfx7o5H9rfUKulpGjhlZBbJSo/rtiloZ+WWE/AAAAKfB+P30YPw+AAAAAJxBMNAj941fKrn7ackbkllQGYX5yzbL4JdXAABmDTOrQObyzXKWb5YU/T9+XCf/vlfk7XtFQ0qF/KlR/fbiS2RmF6a3eAAAgBlieN/jLO7/npWGv99nu++UTn0AAAAAc1rQ363kG7+Uu+cZyUvKLKxKhfmbZBiE+QAAzDUjIX9rvfzWBgXHm0aOmaXL5VRvlF29SWZeaRqrBAAASL+jR1tlGKby8gplWZYkJhxNn1C+76unp0thGKi4uGLc0bfr1CfUBwAAADAnBf3dSu78udy6ZyXflblgURTmV28kzAcAYB4JBnvlN++Rd3C7vLfekNxBSZJZtEj20k1RwF9YyZh+AAAw7wRBoN7ebg0M9EmatZHxLGIoMzNHubkFp5zygFAfAAAAwLwSJLqU3PkzufVbJd+TWbREsY03y16ynjAfAIB5LvSS8pv3yD24Td7hHdJQQpJk5JePdvAXLyXgBwAA80oYhozhvwAMw5jw50xCfQAAAADzQtB3LBXmPy8FnszipYpvvEXW4nV8MA8AAE4RBp781r3yDm6Td3C7woETkiQjp0j20o2yqzfKKquRYbIpEAAAANOLUB8AAADAnBb0Ho3C/IbnpcCXWbIsCvMXXUyYDwAAJiUMAwXt+6MO/kPbFfYelSQZmXmyl26QXb1JVmWtDNNOc6UAAACYiwj1AQAAAMxJQU+nkjt/Knfvi1GYX7ZC8Q23yKpaS5gPAADOWRiGCo4dGengD7pbogOxLNlL1suu3ii7aq0MO5beQgEAADBnEOoDAAAAmFOCng4ld/xE7t6XpdCXVVaj2MZbZC1cQ5gPAACmnN/VEgX8h7YrOHo4utOOy158cTSmf/ElMmKZ6S0SAAAAsxqhPgAAAIA5ITjRpqEdP5HX+FspDGRVrFJswy2yKlcT5gMAgAsi6O2Ud3C7vIPb5bfvkxRKpi2rao2c6k2yl6yXkZGT7jIBAAAwyxDqAwAAAJjVgu5WDb32Y3n7X5HCUFblasU23CK7sjbdpQEAgHks6O+Wd+i1KOBvqZPCQDJMWZW1UQf/0g0yswvTXSYAAABmAUJ9AAAAALOS39Ws5Gs/kbf/VUmhrIVrFNtws+yKVekuDQAAYJxwsE/e4R1yD26X37xL8j1Jklm2Qk71RtlLN8nMK0lzlQAAAJipCPUBAAAAzCr+8SYlX/uxvAO/lxTKqlqr+IZbZJXXpLs0AACAt1YN/VMAACAASURBVBUmB+S99UY0pv/I65I3JEkyi5bIrt4ou3qjrMKFaa4SAAAAMwmhPgAAAIBZwT/2lpKv/UjewW2SJGvRxYpvvEVW6fI0VwYAAHBuQi8pv3m33IPb5B3eKQ0lJElmQUU0or96k8ziJTIMI82VAgAAIJ0I9QEAAADMaP7Rw1Fn/qHtkiRr8TrFN9wsq3RZmisDAACYOmHgyW9pkHdwm7xD2xUO9EiSjJwi2dWbog7+shUyDDPNlQIAAOBCI9QHAAAAMCP5nYeizvzDOyRJ9tINim24WVbx0vQWBgAAMM3CIJDfsT8K+A9uU9h3TJJkZObLXrohCvgra2WYdporBQAAwIVAqA8AAABgRvE7DmjotR/JP/K6JMmu3qTY+ptkFS9Jc2UAAAAXXhiGCo4dlncgCviDE23RgXi27CXr5CzdJKtqjQw7lt5CAQAAMG0I9QEAAADMCH77vijMf+tNSYbsZZcqtuEmWQsWpbs0AACAGcPvakl18G9XcOxwdKeTIXvRxbKrN8pedLGMWGZ6iwQAAMCUItQHAAAAkFb+sSMaeuU/5TfvlmTIXr5ZsfU3y1qwMN2lAQAAzGhBT6e8Q9vkHtyuoH1fdKdly1q4Vk71RtlL1svIyElvkQAAADhvhPoAAAAA0iIMQ7m7f6OhV/5TCn3Zyy+POvMLKtNdGgAAwKwTJLrkHXpN3qHt8lvqpTCQDFNW5eqog3/pBplZBekuEwAAAOeAUB8AAADABRcM9mpw62Pyj7wuI69MmdffI6tkabrLAgAAmBPCwT55h3fIPbhNftNuKfAkGbLKVkQBf/VGmbkl6S4TAAAAk0SoDwAAAOCC8lrqNPjMIwr7u2XXXKmMLXdw3lcAAIBpEiYH5B15Xd6h7fKOvCF5Q5Iks3iJ7KUbZS/bxKQkAACAGY5QHwAAAMAFEQa+ktt/qOSOn0pOXBlb7pCzcku6ywIAAJg3Qi8pr2mXvIPb5R3eISX7JUlmQWWqg3+TzKLFMgwjzZUCAABgLEJ9AAAAANMu6D2qgWe+paB9n8zipcq8/pMy88vTXRYAAMC8FQae/JZ6eQe3yTv0msKBHkmSkVscdfAvWS+rbIUMy05zpQAAACDUBwAAADCt3AO/1+Dzj0vJfjkX/YHimz/Eh8MAAAAzSBgE8tsbow7+Q9sV9h2LDthxWZW1sheukVW1RmZBJV38AAAAaUCoDwAAAGBahN6Qhl7+d7n1W2Vk5Crjuo/LXnxxussC0iIMQ3mhr6SfHP0KXCV9N3U9qSE/Kdd3lQzc1PWkhoJkao2rZDD6WC/wZZmWYqYjx7Jlm0503bTlWI6c4eumI8eKjtmmnVo/8XHHdBSzHJmGme5vGQAgTcIwVHD0kLy33pTfvFt+2z4p9CVJRlaBrKo1Uci/cI3MrPw0VwsAADA/EOoDAAAAmHL+8SYNPv2wgq5mWQvXKOOdH5eZVZDusoAJBWGgIT85LmQffz11O3BHgvWhIBXC+27qehTMJwNXru+mro8+NtT5/XptyFDMchQzY7JNW17oyfU9eYErLxW2TBXLsEaD/9QmgJgZbR6INgFEGwBs01HMSm0OGNkwkNockLo9spngpOPDGwiGj1umNaXvAQAwNUJ3UH5rvbym3fKbdivobhk5Zi5YNBryV6yUYcfTWCkAAMDcRagPAAAAYMqEYSi37lkN/fbfpSBQ7NIPKHbJe2TQ9YvzEIah3ODkbnV3TIA+GqaPhu/Jk66fLqwfDeinIhR3TFsxM6aYFUuF707qeuorFWJH10+/Lm7GotDcchQ3xz/WNu0JRx4HYSA38OT6rtxg+MtT0nflBa6SgRfd50f3j6xJbVTwAm9kM8LwY09+ruHbySDaSOAG3nl/z8YyDXNc4O9Yo5sD7NTmgpHNAeMmEgyvsWSZtmzDkmVasg1LtmmnrqcuTUvW8P1GdHvsdcuwZZsWkwoA4AyCvuPym3fLa94tv3mPwoGe6IBlyypfKWvhGtlVa2QWLeZnQAAAgClCqA8AAABgSoSDfRp8/nF5h7bLyC1W5rs+KatsRbrLwiwUhqHa+zvV2L1fjV0HtLd7v3qTfef1nKZhKmbGFLccOVZM8VRQHl13TgrZYyeF786YUH7smuh55uvI+iAM5AX+mA0C3imbAJJjNg+cvJlg+PbwZoKRjQUTPNfw9fOdeDAZhoxxIf/44H/8BoBTNweMWTt2Q8HwZoNxGw9OOjay+WD85gTLtE/72vPtzxyAmScMAwXHm+Q3pUL+1gbJdyVJRkaurMrVUSd/1VqZOUVprhYAAGD2ItQHAAAAcN68tr0afPpbChPHZS/brIxr7pIRy0p3WZgl3i7EX5hTocrsCsXtKFiPn6HT/XQd8XErxmj3OSIMQ3mhf9pNAl7oyws8+YEvLxy+9MffDrwx95187OTHefICX37opy698WtOc+xCbDgYyzTMkzYbjG4ocExHOU62cmLZyo3lKMfJUa6TrZxYjnJj2cpxovszrIwJJ0AAwNkKvaT89n3ym3bJa96t4OjhkWNGfnk0pr9qjezK1TJimWmsFAAAYHYh1AcAAABwzsIgUHLHT5R87YeS5Sjjyv8me9XVBEQ4oyjE79DergNRkN99YCTEN2RoYU6FagqWqaZwmZYXVCvHmfiXVmCmCMNQQRiMCfpTmwxSt8deH94EMHI78OQObyRIbTY4eXPCuA0JqecYuznBTT3/8HMk/aT63ISG/OQZ67YNSzmxnGgDQCroz4llR5sATnPJJgAAZyMY6JHfvCca19+0W2HieHTAMGWWLpNdtVb2wjUyS5fJYAMeAADAhKYk1H/iiSf05JNPau/evbrhhhv0wAMPnHZdMpnUvffeq127dqm5uVmPPvqorrnmmpHjr776qu68805lZo7u0rz77rv1yU9+8mze0whCfQAAAGD6BH3HNfjsI/JbG2QuWKSM6++RVViZ7rIwA50S4ncdUK97UohfuEw1Bcu1oqBa2Q5THoCpkvRd9bl96ksm1Hvayz71uomR28mz2ASQO7wZIJatXGfsZoCcMZMA4mwCACAp+nkgPNEmr2l3FPK31EnuYHTQyZRdWRt18S9cKyO/jH87AAAAxni7UN+ezJOUlpbqU5/6lF5++WV1dXWdce2GDRv00Y9+VH/zN39z2uNFRUV66aWXJvOyAAAAANLEO7RDA889Jg0l5Kx5t+KX3S7DjqW7LMwQYRiqrb9DjV37tbf7gPadFOJX5VRoU/k6QnzgAohZjhZYhVqQUTip9cObAHqTfeobE/b3JROp+4Y3AfSpY+DopDcBDI/+H7sZYHRTQM7IpgA2AQBzl2EYMgoqFCuokNa+W2Hgye84ODKq3zvyurzDOzQkycgpGhnVby18h8yM3HSXDwAAMKNNKtS/8cYbJUl1dXVnDPVjsZjuuusuSZJlTf84JcOIvgAAAABMjdBLavCV/5S7+2kZ8Wxl/MGn5SzdkO6ykGZhGKot0aG9qS78vV371ecmJKVC/NwKXVq+XisLl2lFQbWyCPGBGStuO4rbhSrKnOwmgKR6k4lx0wCi26lNAMnxmwAmezqA3NN0/UcTAYY3A7AJAJjtDMuWWVEjp6JGuvRWhUP98lrqRjr53Ybn5TY8L8mQWbw4GtVftUZWeY0My0l3+QAAABfU2/3aM6lQfyp1d3dry5YtisViuvrqq/WZz3xGBQUF5/RcBQWcdxEAAACYKsmjTer4yQNyOw4pY/E7VHrLX8vOK0p3WUiDMAzV1NOq3R17taejUXs696pnaLQTf2lBla4tvVxrSmtUW7JCOTF+NwPmtsn/v2DIS6pnqFc9Q306Mdg7cr1nqFc9g306MTR6X8eJt98E4Ji28uK5ysvIiS7jOcqP5yovI7o+cl9GroqyFsjmnN3ADJYrLSyTLr1OkuSe6NDAgTc0cPB1DRx6U8mdP1Ny589k2DFlLH6HMqsvUWb1xYqVLmFzDwAAmPcuaKi/bNky/fCHP9Ty5cvV0dGhz3/+8/rsZz+rb33rW+f0fN3dCXleMMVVAgAAAPNLGIZyG17Q4EtPSL6r+KZb5ay/Sd1JUzram+7ycAGEYajWRHvUhZ/qxh/fiV+pS8vWp8bpLx3XiT/YE2hQ/DkBMMpQTPlaoPzYAikm6QxTtYcnAUSnAOgbmQAwbhqAm9CJgT41n2hTMnAnfC7TMFWSWazy7BKVZ5WqPLtUZdmlKs8qUYadMfVvFMB5ypQWXSZr0WXKvjpQcPSIvKZd8pp2a+DQLg0c2ClJMjLzRkb121VrZGZPbtIIAADAbGLb5hkb2i9oqF9SUqKSkhJJUnl5ue677z7deOONGhgYUGZm5lk/XxhGXwAAAADOTZjs1+AL35W3/1UZ2QuU8a67ZVesio7xs/acFYTBuHH6+7pPDfE3l2/QysLlWp5frSxn/O9r/NkAMFUcM6YFGTEtyJhcSDfkJ8eH/6nR/72p8f/tiQ690blHr2v3uMcVxPNVnjUa8pdnl6osq0x5sRw6gIEZwZRZvFSx4qWKrXufQm9IfuteeU27olH9+34rd99vo5WFlbIWrpFdtVZWRa0MJ57m2gEAAM7f233WcsHH749lmqbCMFTIJ0IAAADABed37NfA099S2Nspe+lGZVzzMRkZOekuC9Pg7UL8RbmVuqx8o2oKl502xAeAmSJuxRTPXKCizAUTrnEDT539R9Xe36m2RIfa+tvV3t+pAycOqb6rcdzaTDtT5VklqbA/1d2fVarizAUyDXO63w6ACRh2XPaii2QvukiSFPR3y2/eI69pdxTy7/q13F2/lkxLVtmKkZDfLF4qw+TvLgAAmHsmFep7niff9+V5noIg0NDQkEzTlOM4p6xNJpMjQb3neRoaGpLjODJNU6+88ooWLVqkyspKHT16VPfff7+2bNmirKys07wqAAAAgOkQhoGSr/9Cyd8/KZmG4ld9VM7qd9KpOIcEYTAyTr+xe78auw8o4fZLIsQHMPc5pq3KnHJV5pSPuz8IA3UNnlB7f4fa+jvUnogu2xIdOthzZNxa27BUOhL2l4x0+ZdllShmxS7k2wEgycwqkFlzpZyaKxWGoYKuFvnN0ah+v7VefmuDktuelOLZsitXp0L+NTLzStNdOgAAwJQwwkm0yT/44IN66KGHxt1366236mtf+5rWr1+vRx99VJs2bZIkvetd71Jzc/O4td/73vd02WWX6fHHH9d3vvMdnThxQrm5ubr66qt17733asGCiXdXn0lXV0KeF5zTYwEAAID5KOjv1uCzj8pv3i2zsFIZ198ja8GidJeF8/T2If5C1RQu08qC5VpesFSZNiE+AIzV5ybUnuiMuvoTnSNh//HBLoUa/ejMkKEFGQUqS3X1j470L1VObOLzXwKYPqHvyW/fJ795t7ym3Qo6D0qpv7dGbonsqjWyqtbKrlwtI87fUwAAMDPZtqnCwol/VplUqD9TEeoDAAAAk+e99YYGn31U4WCvnNrrFL/yj2XYnIN0NhoO8fd2RQH+vq4DSniE+AAw1ZK+q47+zqi7P9XZ397fqfb+TnmBN25tjpOtsqySU8L+wowCRvkDF1A42CevpU5+0255zbsV9nZGBwxDZkm17IVRyG+VLpdhpfXstAAAACMI9QEAAIB5LvQ9Df3+B3Lf+KUUy1TGNR+Ts2xzusvCWXi7EH9xbpVWFFYT4gPABRKEgY4NdJ12lH+/NzBurWM6I2F/dFmm8qxSlWQVyzEJFIHpFvR0yGvaFYX8LXVSMvoZSnZcVmVtKuRfI7OgktNRAQCAtCHUBwAAAOax4ES7Bp5+WMHRQzLLVijzXZ+UmVuc7rLwNoIwUEtfmxq7D6ixa7/2dR88JcSvKVymmoJlhPgAMIOEYag+N6G2RHsq7B8d5d811D1urSFDxZkLTjvKP8vh33VgOoSBr+DoIXlNu+U375bftk8KfUmSkb1ATs2VclZdLTO/LM2VAgCA+YZQHwAAAJin3MaXNfji9yR3SLH171Ns4/tlmFa6y8JpnBziN3YfGOn0NGRocV6VagqGQ/xqZdoZaa4YAHC2Br0hdfR3ju/s7+9UZ/9R+alQcVheLHdcV39ZdonKs0pVEM+nkxiYQmFyQH5rg7zm3fIOvaaw75gkyapYJWfVNbKrN8lwOF0VAACYfoT6AAAAwDwTJgc0+NIT8hpfkpFVoIx3fkL2wnekuyyMEYSBmvva1Ni9X41dB7RvTIhvGqYW5S7UyoLlqilcpmX5SwnxAWAO8wNfRweOqa2/c0zYHwX/g/7QuLVxKzbS2T+2w78ks0gWG/eA8xKGgfyWern1z8s7tE3yPcnJkLP8sqh7v3Q5m2oAAMC0IdQHAAAA5hG/85AGnnlY4Yl2WYsvUcZ1/4/MjNx0lwVFQf7+7kPa1r5DOzrfVMKNxukT4gMATicMQ51I9qgt0TFulH97okMnkj3j1pqGqZLM4lTYH3X1V2SXqSK7TI7lpOkdALNXOJSQu+8VuQ3PKzh6WJJkFlbKWXW17JotMjPz0lwhAACYawj1AQAAgHkgDEO5bz6lod/9lyRD8ctul7P2BrqJ0iwMQzX1tWpb+w5ta9+p7qETkqTK7HKtKapVTeFyLc9fogxCfADAWRjwBtSW6FR7f4faEh1q7+9UW3+7jg4cVxCOflZmGqbKs0q1MKdSVbkVqsqpVFVOpXJiE39YCGA8/+hhuXtflNv4sjSUkAxL9pJ1clZdLWvRRZzeCgAATAlCfQAAAGCOCwZ6NLj1MflvvSEjv1yZ198jq3hJusua1zr7j2lb+05ta9+htv4OSdKCjEJtKlunTWXrtDCnIs0VAgDmIjfwolH+iQ61JNrU3Nuipr4WHRvsGreuIJ6vqpwo5F+YGwX9xZkLZBpmmioHZr7QS8o7vFNuw/Pym3ZLCmVkFchZuUXOyqtlFpSnu0QAADCLEeoDAAAAc5jXvEeDzzyicOCE7JVXKWPLf5Ph0PWdDj3JXr3W/oZ+375Dh3qOSJJynGxtKL1Ym8rWqzp/MWEJACAt+t0BNfe1qKmvVU19LWrubVFLol1+6I+siVuxqKN/TFd/RXa5YozvB04R9B2LuvcbXlDYe1SSZJWvjMbzL7uUn8cBAMBZI9QHAAAA5qAw8JTc9kMld/5McuLKuPpOOSuuSHdZ886AN6jXO3dpW/tO1R9vVKhQMSumS4rX6tLydaotrJHFSFYAwAzkBZ7a+zvVlOrmH77s9wZG1hgyVJZdOtLVX5Xq6s+N5aSxcmDmCMNAfku93IYX5B3cJvmu5GTIWb5ZzqprZJYu53RYAABgUgj1AQAAgDkm6OnUwDPfUtCxX2ZJtTKvv0dmXmm6y5o3XN/V7uMN2ta2Q28eq5MXeLIMS+8oWqVLy9bpouJ3KGbF0l0mAABnLQxDdQ+dGBfyN/W26Ojg8XHr8mO5I2P7h8P+kswiJtJgXguHEnL3vyq34QUFnQclSWZBZdS9X3OlzKz8NFcIAABmMkJ9AAAAYA5x9/9Og88/LrkDci5+j+KXflCGZae7rDkvCAM1dh3Q79t3aGfnmxrwBmXI0IqCal1atl7rSi9StpOV7jIBAJgWA96AmvvaRkb3N/VF4/u9wBtZE7NiWphdoYWp0f1VOZVamFPORjfMS/6xI3IbXpDb+LI0lJAMS/bii+XUXiNr0cUymOQEAABOQqgPAAAAzAGhO6Sh3/6b3PrnZWTmKeO6j8tedFG6y5rTwjDUkd4mbWvfqe3tO3Ui2StJWpRTqU3l67Wx9BIVZhSkuUoAANLDD/xofH+qm7+5r1Vv9TUr4faPrDFkqDSrJBrfnzsc9FcqP56bxsqBCyf0XXmHd8hteEH+W7skhTIy8+Ws3CJn1dUyCyrSXSIAAJghCPUBAACAWc4/9pYGn/4XBd2tshauUcY7Py4zizB5urT3d2pb2w5ta9+pjoGjkqTizCJdWrZOm8rWqTy7LM0VAgAwM4VhqBPJnnGj+5v6WtQ5cGzcutxYzrjR/VU5lSrNKmZ8P+a0oO+Y3L0vyW14QWFvpyTJKquRU3uN7GWXynAy0lwhAABIJ0J9AAAAYJYKw1Dunqc19Mp/SEGo+OYPyrn4D2XwgfeU6x46oe3tr2tb+w4d6W2WFAUOm0rXaVP5Oi3JXSTDMNJcJQAAs9OgN6iWRNuYsL9VLYlWuWPG9zumo8qc8nFhf2V2uTLseBorB6ZeGAbyWxvk1j8v7+A2yXclJ0POss1R937ZCn7uBABgHiLUBwAAAGahcLBPg899W97hHTJyS5R5/T2ySpelu6w5pd/t187OXfp9+041du1XqFAZVobWla7VpWXrVVOwTBbnOwUAYFr4ga+OgaMjo/ub+lr0Vm+z+tzEyBpDhkqyikbG9g+P8c+P5RF6Yk4IhxJy978qt+EFBZ0HJUlmfrnsVdfIWXkl07kAAJhHCPUBAACAWcZrbdDgM48oTByXvfxyZVx9p4xYZrrLmhOSvqtdx+q0rW2Hdh+rlxf6sg1La4tXa1PZeq0pqlXMctJdJgAA81IYhupJ9o4b3d/c16qO/qMKNfoRZo6TPW50f1VupUozi9mMh1nNP/6W3PoX5DW+rHCoTzJM2YsvkbPqGlmLL5Jh2ukuEQAATCNCfQAAAGCWCANfydd+rOSOH0uWo4wtd8heeRWdaOfJD3w1dO3Ttvader1zlwb9IRkytKpwhTaVrdMlJWuV5bBpAgCAmWrIT6ol1c0fhf2tau5rlRu4I2sc01ZFdvm4sH9hTrkybM5Tjtkl9F15h3fKbXhBftObUhjKyMyTXbNFTu3Vsgoq010iAACYBoT6AAAAwCwQ9B3T4DOPyG/bK7NosTKvv0dmQUW6y5q1wjDUwZ4j2ta+Q6+1v6Fet0+StCRvkS4tW68NpRcrP56X5ioBAMC5CsJAHf1H1dwXhfzDnf09yd5x64ozo/H9VTmVWpa/RNX5ixWzYmmqGjg7Qd9xuXtflNvwgsLeTkmSWbZCzqqr5SzbzDQvAADmEEJ9AAAAYIZzD27X4PP/Kg0l5Ky9QfHLbpfBCPhz0ppo17a2Hfp9+04dGzwuSSrLKtGmsnXaVLZepVnFaa4QAABMpxNDvWpOje0f7uxv7+8cGd9vGqaW5FZpeUG1VhRUa1n+UmU7WWmuGjizMAzktzbIbXhB3oFtkp+U7LjsZZuj7v2yGqZ7AQAwyxHq///s3XdwHfd99/v37unoHWzohb1TVGHvFKnquCWOW+JEVvzMc29sjydz78RPHsfOOHfmXidxlWVHsq04cexYkmWJvRexV1EkQHQQIBqJjtN37x+gYTsyVSgAi/J5zeAPYI+wn0NpxD2/z/6+KyIiIiIyRtmxCOET/0H0zf0YviT8az+Du2CR07HGnduhTs62XuR063ma+m4CkOpNGSzypywiL2m6FjlFREQmsUg8wo2+m1R31VLdXUtVVx3BWHDo+LTEKUMlf2laEWm+VAfTirw9OzJAtOok0YojWO01ABipUwZ375evwExIczihiIiI3AuV+iIiIiIiY1C8s4nQvu9i3b6Ba+os/OufwkxMdzrWuNEX6ed8+yVOt1ygursWgIA7wJKc+SzLXUxpWhGmYTqcUkRERMYiy7a42d9KdVctVV21VHfX0RXuHjqe6c+gNK2IkrRCStOKyQlk6QZBGZPit28M7t6/fhw71AuGiStvAZ5Zq3DnL8Qw3U5HFBERkXdJpb6IiIiIyBhi2zbRa4cIH/8pWDG8S5/Au+gRDFMF9DsJxyNcbr/C6dYLvHm7Asu28Jhu5mfN4b7cxczOnIlHC5ciIiLyHtm2za3Q7cGCv6uWqu5a2gY6ho4ne5KGdvKXpBUyI2mabh6UMcWOx4g1XCB67TDxG5fBtjECKbjLHsIzczWu9GlORxQREZF3oFJfRERERGSMsMP9hI48T6zmNEZSJoH1n8U1pczpWGNa3Ipz9XYlp1vPc6n9ChErimmYzEovY1nuIhZmz8Xv9jsdU0RERCaYnkjvUMlf3VXLjb6b2Awuo/pdPopTC4eK/oLkGXhcHocTiwyy+juJVh4lWnEEu6cNADO3dHA8f/FyDG/A4YQiIiLyh6jUFxEREREZA+It1wnu/x523y3cRcvwr/40hu/uF+qTmWVb1HTXc7r1POfbLtEfHQCgOLWAZbmLWZKzgGRvksMpRUREZDIJxkLUdNcPjeyv72kgZscBcBsuClLy7pT8xRSnFhDQTYfiMNu2ibdUEr12mFjNaYhHwO3FXbwcz8xVuKaU67ESIiIiY4hKfRERERERB9mWReTiq0TOvAimC99DH8Mza40W0P4b27Zp6rvJmdYLnGm9QGe4C4Cpibncl7uYpbmLyApkOJxSREREZFA0HqW+98bQbv6a7jpC8TAABgYzkqZSklY0tJs/xZvscGKZzOxIkGj1SaIVh7HaagAwUnMHd++XrcBMTHc4oYiIiKjUFxERERFxiNXfSejA94k3X8VMn45/w1/hypjudKwxpSN4mzOtFzjdep6W/lYA0n1p3DdlMctyFzE9aarDCUVERETemWVb3Ohrprqrbqjo7432DR3PSciiNPW3JX+mP0M3eYoj4rebiFYeIVZ5DDvUC4aBK28BnpmrcecvxHC5nY4oIiIyKanUFxERERFxQKzhAqGDP8QO9eKZvQ7fg3+M4fY6HWtM6I30cbbtImdaLlDbUw9AoieBJTkLWZa7iOLUAkzDdDiliIiIyL2zbZu2YAdVXTVDRf+t0O2h46neFErvFPwlaUVMTczV9Y+MKjseI9ZwkWjFYeKNl8C2MfzJuMtXDI7nT9fNyCIiIqNJpb6IiIiIyCiygj1Ezr1M9Mo+8CbgX/1pPMX3OR3LccFYiEvtVzjdep6Kzios28Lr8rIway7LchcxO6Mcl+lyOqaIiIjIiOkKdw/t4q/qqqW5v2XoWII7QHFq4VDRn5c8HbepHdMyOqz+TqLXjxGtOILdPTg9y8wpxrfkapbzIwAAIABJREFUCdz5CxxOJyIiMjmo1BcRERERGQXWQDeRSzuIvrkfYhFcuWX4N3wWMynT6WiO6gjeZlfdfk63niNqxTANk7mZM1mWu5j5WXPwuTS9QERERCan/ugANd2/Hddf33sDyx5c6/SYHopS8ofG9RelFui6SUacbdvEWyqJVhwhVnMKYhE887fgW/4hjeUXEREZYSr1RURERERGkDXQReTCa0SvHoR4BDMjD++Sx3AXLcWYxCNUB8v8fZxoOYtlWxSl5HP/1GUszplPkufuH1BEREREJqtwPEJddwNV3YMlf213PRErCoBpmOQlT6c0dXBcf0laoa6pZERZvR0E938Pq7UKM7uIwIanMVNynI4lIiIyYanUFxEREREZAVZ/J5ELrxK9dhDiMczMArxLH8NdsHiSl/m32Fm3n5N3yvyS1EK2F22mPL0EwzCcjiciIiIybsStOI19TVTdGddf01VHf2xg6PiUxNzBcf2pg7v50/1pDqaVici2YkTOvETkwqvg8eFf9Sk8pQ84HUtERGRCUqkvIiIiIjKMrL5bd8r8w2DFMLMK8S19HFf+okldWr+1zC9ie9EmlfkiIiIiw8SyLVr626jurh0q+rvC3UPHM/zplKQWUZpWSGlaMbkJ2boOk2ERu3GF0IFnsIM9eGauxvfQxzA8PqdjiYiITCgq9UVEREREhoHV20Hkwq+JVhwBK46ZXTxY5uctmNSLpe0Dt9hZv49TLeewbIvStMEyvyxNZb6IiIjISLJtm9uhTqq6au8U/XW0DrQNHU/yJFKSVkRpaiElaUXMSJqGy3Q5mFjGM2ugm9DBZ4nfeAMzbRr+jU/jyshzOpaIiMiEoVJfREREROR9sHraiVx4hWjFMbDjmLml+JY8jmvGvEldWrcNdLCrbj+nWgfL/LK0Yrbd2ZkvIiIiIs7ojfRR3VVLVXct1V21NPY2YzO4/OtzeSlOLRzazV+Yko/H5XE4sYwntm0RubiTyOn/AtPE9+Af45m9blJ/LhIRERkuKvVFRERERO6B1dNG+NwrxK4fA9vCNaUc75LHcU2fM6kXrVTmi4iIiIwfoViI2u4GqrpqqOqupa6nkZgVA8BtuilKyWdmeill6SUUpuThNt0OJ5bxIN5aRXD/97B7O3AXLcO/+tMYvruXECIiIvLOVOqLiIiIiLwHVlcL4fOvEKt6fbDMnzoT79IncE2dNenL/J11+zjdel5lvoiIiMg4FbViNPTcoKqrhutdNVR31RKxogB4TQ8laUWUp5dQnl5CXtJ0jeuXu7LD/YQOP0es9gxGUiaBDU/jyi11OpaIiMi4pVJfRERERORdiHc2Ezn/CrHqE2DbuKbPwbv4MdzTZjkdzVFtA+3srNvPqZZz2NiUp5WwrWgjZSrzRURERMa9mBWjvucGlZ1VVHZWU9NTP7ST3+/yUzpU8pcyPWkKpmE6nFjGEtu2iV49SPj1n4Jl4b3vA3gXPoyh/05ERETeM5X6IiIiIiJvI367icj5XxGrPgXYuGbMw7vkcdxTypyO5qjWgfbBnfkt5wfL/PRSthVupCy92OloIiIiIjJCovEotT31VHRWU9lZTV1PA5Y9uP6a6E6gLL2YsvQSZqaXMiUhZ1JPspLfit9uJLT3u1hdzbhmzMO/9i8wE1KdjiUiIjKuqNQXEREREfkD4rcaB8v8mjOAjStvAb4lj036kZH/vcyfmV7KtqJNlKYVOR1NREREREZZKBampruOyjslf0PvDWwGl5OTvUmUp5UM7eTPDmSq5J/E7GiY8PF/I1pxGCOQgn/dU7hnzHU6loiIyLihUl9ERERE5HfEO+qJnPsVsbqzALjyF+Jb8jiunMm9A721v40ddfs506oyX0RERET+sGAsSFVXLZWd1VR0VtHUd3PoWJovlZnppZSll1CeVkJmIN3BpOKUaNUJQkeeh2gY76LteJc9gWG6nY4lIiIy5qnUFxEREREB4u11RM69TKz+PADugsV4lzyOK7vQ2WAOGyzz93Gm9QI2NrPSy3i4aKPKfBERERF5R32Rfq531dzZyV9Fy0Db0LEsfwbl6aV3dvKXkOpLcTCpjCarp43gvu9itddi5pYSWP9ZzOQsp2OJiIiMaSr1RURERGRSi7fVED73MvGGiwC4C5fiXfIYrqwCh5M5q6W/jR11eznbenGozN9WtImStEKno4mIiIjIONUd7uV6ZxWVXYPj+tuDt4aO5SbkDBX85WklJHnvvmgt458djxE+/Quil3aCNwH/mj/DU7TM6VgiIiJjlkp9EREREZmU4q1Vg2V+42XAwF28bLDMz8hzOpqjVOaLiIiIyGjpDHUNjeqv7KymM9w1dGx60lTK0wZL/tK0YhI8AQeTykiJNVwkdPAH2KFePHPW43vgoxhur9OxRERExhyV+iIiIiIyqcRaKomcfZl40xXAwF2yHO/ix3BlTHc6mqNa+lvZUbdvqMyfnVHOtqKNFKcWOh1NRERERCYB27bpCN6msqvqzrj+anoivQAYGOQlT7+zk7+UktRC/G6fw4lluFj9nYT2P0P85jXMjDz8G5/GlTbN6VgiIiJjikp9EREREZkUYs3XiJx7mXjzVTAM3CUP4F3y6KRfLLrZ38qO2r2ca7v0O2X+JopTJ/fjB0RERETEWbZt0zrQdmcnfzXXu6rpjw4AYBomBcl5zEwvoSy9hOLUQrwuj8OJ5f2wLYvIhVeInH0JXB78Kz6Ou3wlhmE4HU1ERGRMUKkvIiIiIhOWbdvEb14jcvYl4jcrwDBxlz2Ib9GjmGlTnI7nqOa+FnbW7Rsq8+dkzGRb0UaKVOaLiIiIyBhk2RbNfS1Udg3u4q/qqiEYCwHgNlwUpRYM7eQvTMnDbbodTiz3InazgtD+72H3d+IufRD/yk9gePXoBREREZX6IiIiIjLh2LZNvOkKkXO/It5SCYaJp3wF3kWPYKbmOh3PUSrzRURERGQisGyLxt6moVH9Vd21ROIRALymh+LUQmaml1KWXkJ+8nRcpsvhxPJu2aE+ggd/QLzhAkZKLoGNT+PKKnQ6loiIiKOGpdR/4YUX+OUvf0llZSWbNm3iG9/4xh98XSQS4Ytf/CJvvPEGTU1NPPvss6xevfotv+uZZ56hr6+PNWvW8NWvfpWkpKT3+LYGqdQXERERmVxs2yZ+4zLhc7/Caq0Cw4Vn5srBMj8l2+l4jmrua2FH3V7Ot10eLPMzZ7KtcBNFqflORxMRERERed/iVpz63kYqbldT2VVNbXcdUSsGgN/lozStiLL0EmamlzI9aSqmYTqcWN6ObdtEr+wlfOJngI3v/o/gmbdJ4/hFRGTSGpZSf/fu3ZimyfHjx+ns7HzbUv+nP/0p8+bN4wtf+AJ///d//3ul/rFjx/jCF77Ac889R15eHl/60pdITk7mH//xH+/hranUFxEREZksbNsm3niR8NlfYbXXgOnCM3M13kXbMZOznI7nqOa+Fl6r28v5tksAzM2cxbaijRSmqMwXERERkYkrGo9S29NwZyd/FXU9jcTtOAAJ7gBl6SWUp5VQnl7C1MRclcVjVLyjjuDe72L3tOLKX4R/7Z9j+pOdjiUiIjLqhnX8/je/+U1qamruWur/rvXr1/N3f/d3v1fqf+ELXyA3N5cvfelLAFRUVPDBD36QU6dOEQi89+fmdHWp1BcRERGZyGzbJlZ/gfDZl7E66sB045m9Bt+ibZhJmU7Hc1RzXwuv1e7l3J0yf95vynztzBcRERGRSSgcj1DdVTdU8tf33MBmcOk72ZNEefpgwT8zo4TsQJZK/jHEjgQJHfkx0arXMRLTCaz/LO5pM52OJSIiMqrcbpO0tLuX+u5RzML169dZs2bN0Pfl5eVYlkV9fT2zZs16z7/v7d6YiIiIiIxftm0xUHGazqM/J9Jai+H2knLfNtIeeAJ3yuQu8xu6mvjFldc4ceMcAEumzuODc7dTmlnobDAREREREYdNz81kNUsBGIgEudpRxZXWCt5oq+Bc2yXOtl0EICOQxrycmczNKWde7kyyEyf3ZwznJWN/+Av0XT5Ix85nGfj1P5K+6kOkrfgjDNPldDgREZExYVRL/YGBAZKTfzs6xzAMkpKS6Ovru6ffp536IiIiIhOLbVvEas8Ojtm/3QhuL975W/AufBgS0+iKAB29Tsd0xI3em+yo3cv59ssAzMuazfaijRSk5IENHZP0z0VERERE5G4KvIUU5BWyLW8LfdF+rnfW3NnJX83h+pMcrj8JQKY/g1kZpSzMnsusjDLc5qgum8tvTFtGwpPTCO77Lp2Hf0bP9QsENnwWMzHd6WQiIiIjbkzt1E9ISHhLgd/X10dSUtI9/T7bHvwSERERkfHNtixitaeJnPsVVmcTuL14FmzFu+BhzITUwddM0uu+G73N7Kjby4X2NwCYnzWbhwvvlPlM3j8XEREREZH3ItGdyKLs+SzKng9AT6SX653VVHRWc72zmmPNpzjWfIqAO8CCrDksyVnAzIwyPCr4R5WZNo2Ex/+W8ImfEX1zH/2/+DL+tX+OO3+R09FERERG1Dut8Y3qFUlZWRnXrl3j0UcfBaCyshLTNCkoKBjNGCIiIiIyRtiWRazmJJFzr2B1NYPbh3fhNjwLtmIGUpyO56i3lvlz2Fa4kfyUGQ4nExEREREZ/1K8ySzNXcTS3MGyuG2ggwttlznXfomTLWc52XKWgNvP/DsF/6yMchX8o8Rwe/Gv/Diu6XMIHfohwZ3/hGf+FnzLP4Th0r8DERGZnN7V34CxWIx4PE4sFsOyLMLhMKZp4vF43vLaSCSCbdvYtk0sFiMcDuPxeDBNkw984AN88Ytf5NFHH2XGjBn88z//M9u2bSMQCAz7GxMRERGRscu24sSqThA+/wp2dwt4/HgXPYJnwRZMf/I7/4IJrPFOmX9RZb6IiIiIyKjJSchic+E6NheuoyN4i/NtlznXdolTLec41XIOv2uw4F+cM585GeV4XG9dG5fh5SlaiiurgOD+7xG9vIv4zQoCG57GTM11OpqIiMioM2z7nQd2fvOb3+Rb3/rW7/3sySef5Otf/zqLFy/m2WefZdmyZQCsX7+epqam33vtj3/8Y+6//34AfvKTn/DMM8/Q39/P6tWr+drXvnbP4/c7O/uJxax7+mdFREREZPTZVozY9dcHy/yeNvAE8M7fhHfeZgz/vV0TThSNvc3sqN3DxY4rACzImsvDRRvIT1aZLyIiIiLilI7gbS60Dxb89T2NAPhdPuZlzWZJzgJmZ8zEq4J/RNlWnMiZF4lceBU8PvyrPoWn9AGnY4mIiAwrt9skPT3xrsffVak/VqnUFxERERkf7HiM6PVjRM7/Gru3HbwJeOdvwTtvI4bv7herk0FjbxOv1e7l0p0yf2HWXB4u2khe8nSHk4mIiIiIyO+6FezkfPslzrddpq6nAQCfy8u8zMGCf07mLBX8Iyh24wqhA9/HDnbjmbkK30N/iuHxOR1LRERkWKjUFxERERHH2PEo0YqjRC78GrvvFvgSf1vmexOcjucolfkiIiIiIuPX7VAnF9ouc67tMrU99QB4XV7mZ85mUc585mXOwuvyOpxy4rEGugkdfJb4jTcw06bh3/g0row8p2OJiIi8byr1RURERGTU2bEI0YojRC68it1/G8OXhGfhVrxzNmB4A07Hc1RD7w1eq93L5Y43AViYPY+HCzeSlzzN4WQiIiIiInIvOkNdXGh/g3Ntl6jprgPAa3qYe2dE/9zMWfhU8A8b27aIXtpJ+NR/gWnie/CP8cxeh2EYTkcTERG5Zyr1RURERGTU2LEI0WuHiFx8Dbu/E8OfjHfhw3jmrMfw+J2O56iGnhu8VreHyx1XAVh0p8yfoTJfRERERGTC6Ap3c77tMufbLlHTXY+Njcf0MDdzFkty5jM3czZ+t0bGD4d4axXB/d/D7u3AXbQM/+pPT/rHu4mIyPilUl9ERERERpwdCxO9epDIxR3YA10YgRS8C7cN7paY5M84rO9p5LXavbxx6zdl/ny2FW1ketJUh5OJiIiIiMhI6gp3c6H9Dc63XaK6q+5Owe9mbuYsFmfPZ17WbPzuyX3z8/tlh/sJHX6OWO0ZjKRMAhuexpVb6nQsERGR90ylvoiIiIiMGNu2iVUeJXzq59jBHoyEtDtl/hqMSb77RGW+iIiIiIj8Rne4Z6jgr+qqHSr452TMZHHOAuZlzSaggv+e2LZN9Nohwsf/Daw43vv+CO/ChzEM0+loIiIi75pKfREREREZEVZPG6HDzxFvvjq4M3/xY3hmrcZwT+5nRVZ31bG7fj9v3LoGwOLs+TysMl9ERERERO7oifRyoW2w4L/eVYONjdt0MzujnCU5C5ifNZuAO+B0zHEnfvsGoX3fwepsxjVjHv61f4GZkOp0LBERkXdFpb6IiIiIDCvbihO9vIvwmZcgHsEzaw2++z88qZ9daNs2b96uZHf9fqq6ajEwWJQ9T2W+iIiIiIi8rZ5ILxfb3+B822UqO6sHC37DxezMchZnL2B+1hwSPCr43y07FiZ8/N+IXjuMEUjBv+4p3DPmOh1LRETkHanUFxEREZFhE++oI3ToOaxb9RipufhXfQr3tNlOx3KMZVucb7vMnvoDNPY1Yxomy3OXsKlgLVMSc5yOJyIiIiIi40hvpO+3BX9XNZZt4TJczM4oY3HOAhZkzVXB/y5Fq04QOvI8RMN4F23Hu+wJDNPtdCwREZG7UqkvIiIiIu+bHQsTPvMS0cu7APAu3IZ3yWOTdtR+zIpxquUce+oP0hbswGN6WDFtORvyV5PhT3c6noiIiIiIjHN9kX4udgwW/BWdVUMF/8yMUpZkL2BB9lwSPQlOxxzTrJ42gvu+i9Vei5lbSmD9ZzGTs5yOJSIi8gep1BcRERGR9yXW9Cahw89h97ZjZhfhX/1pXJn5TsdyRDge4VjTCfY1HqEr3E3A7WfN9IdYm7eSZG+S0/FERERERGQC6ov2c6n9CufbLnOt8zqWbWEaJrPS7+zgz55DkmfyPg7t7djxGOHTvyB6aSd4E/Cv+TM8RcucjiUiIvIWKvVFRERE5J7YoT5CJ35GrPIIuL34ln0Az7xNGKbL6Wijrj86wKEbxzh44xj90QGSvUlsyFvNyukPEHD7nY4nIiIiIiKTRH90gEvtVzjXfomK21XE7TimYTIzvZTFOfNZmDWPJK8K/v8u1nCR0MEfYId68cxZj++Bj07ayXMiIjI2qdQXERERkffEtm1iNacJH38BO9iDa8Y8/Cs/iZmS7XS0UdcV7mZ/wxGONp8gHI+Q6U9nY/5aHpy6DI/L43Q8ERERERGZxAaiA1zqeJPzbZe4evv6UMFfnlYyWPBnz9NEsd9h9XcSOvB94s1XMTPy8G98GlfaNKdjiYiIACr1RUREROQ9sPpuEzr6Y+INF8CXiP/BP8Fd9hCGYTgdbVS1D9xiT8NBTt48Q8yOMy1xCpsK1rI0ZyGuSTipQERERERExraBaJDLHW9yvv0SV29VErtT8JelFbM4ZwGLVPADYFsWkQuvEDn7Erg8+Fd8HHf5ykn3mVdERMYelfoiIiIi8o5s2yL65gHCp34O0RDu0gfwPfgnmIEUp6ONqqa+m+yq28+5tkvY2BSl5LO5YB3zsmZjGqbT8URERERERN5RMBbkcsdVzrVd4urtSmJWDAPjtwV/zjxSvMlOx3RU7GYFof3PYPffxl36IP6Vn8DwBpyOJSIik5hKfRERERF5W/HOJkKHn8NqrcJIzMC/6pO48xc6HWtUVXfVsbt+P2/cugbA7IxyNhesoyytWDs2RERERERk3ArGQrzRcZXzbZe4crtiqOAvTSu6s4N/Pqm+yVnw26E+Qod+SKz+PEZKLoENT+PKLnQ6loiITFIq9UVERETkD7LjUSIXXiVy/tdgxfHM24hv2Qcmze4E27Z583YFu+oOUN1di4HBwux5bClYR37KDKfjiYiIiIiIDKvQbwr+9stcuXWN6J2CvyStkMU5C1icPZ9U3+Sa1mbbNtErewmf+Blg47v/w3jmbdbN3SIiMupU6ouIiIjIW8Rbqwgd/leszmbM9On4V38aV26p07FGhWVbnG+7zO76A9zoa8Y0TJZPWcKm/LVMScxxOp6IiIiIiMiIC8XCXLl1lXNtvyn4oxgYFKcWDBb8OfNJ86U6HXPUxDvqCO77LnZ3K678hfjXfgbTPzknGIiIiDNU6ouIiIjIEDsSJHz6v4he2QemC++Sx/Au3IbhcjsdbcRFrRinWs6yt/4QbcEOPKaHFdOWsyF/NRn+dKfjiYiIiIiIOGKw4L82uIO/4yoRKwrA3MxZbC3cQHFqgcMJR4cdCRI6+mNiVa9jJKbjX/9Z3FNnOh1LREQmCZX6IiIiIgJArOECoSM/xu6/jWtKOb7Vn8KVNs3pWCMuFAtzvPkk+xqP0BXuJuAOsGbGQ6ydsYJkb5LT8URERERERMaMcDzClVvXONN6gUvtV7CxKU8vZWvBesrTSybFWPpo5VFCR38M8SjeJU/gXfwohmk6HUtERCY4lfoiIiIik5wV7CF8/N+IVZ8Ej3/wGYGz12IYE3tRoj86wMEbxzjUeIz+2ADJ3iQ25K1m5fQHCLj9TscTEREREREZ01r629hdf4DTreexbIuilAK2Fq5nbuasCV/uW103Ce77DtatRlxTZ+Jf/1nMRE14ExGRkaNSX0RERGSSsm2b2PVjhF7/dwj34y5YjG/lJyb8QkRXuJv9DUc40nyCSDxCpj+DTQVreGDKMjwuj9PxRERERERExpWO4C321B/kxM0zxOw4eUnT2FK4gYXZczEn8M3idixC+OTPiF7Zh+FLwr/uM7jzFzkdS0REJiiV+iIiIiKTkNXTRujIj4g3XcEIpOBb8XHcRcsm9G6KtoEO9jYc5OTNs8TsONMSp7C5YB1LchbgMl1OxxMRERERERnXusLd7G04xNGmk0StKFMScthSuJ6lOQsn9GeuaN1ZQof+FcL9eBY8jG/5H2GYbqdjiYjIBKNSX0RERGQSsa040Td2Ez79IsQjeGauxvfARzB8d78gHO9u9Dazu/4A59ouYWNTlFLAlsJ1zM2cNaF3jYiIiIiIiDihN9LH/sYjHL5xnFA8TJY/g80F61g+dSmeCVp2W323CO79DlZbNa7cMvwbnsZMynA6loiITCAq9UVEREQmiXhHPaHDz2F11GGk5OJf/Snc02Y7HWvEVHXVsrv+AFduXQNgdkY5WwrWUZpWPKEnEoiIiIiIiIwFA9EBDt44xsHGY/THBkjzpbIxfw0rpi3H6/I6HW/Y2fEY4VM/J3p5F4Y/Gf+6v8SdN9/pWCIiMkGo1BcRERGZ4OxYhMjZl4hc2gmAd+HDeJc8juGegIsots2btyvYVXeA6u5aDAwWZc9jc8E68lNmOB1PRERERERk0gnFQhxpOsG+hsP0RvtI9iSxPn8Vq6c/iN/tdzresIvWniV06AcQCeFd/AjepU9imJoSJyIi749KfREREZEJLNZ8ldDh57F7WjGzCvGv/jSurAKnYw07y7Y433aJ3fUHudHXjGmYLJ+yhM35a8lNzHE6noiIiIiIyKQXiUc5fvMUe+oP0hXuJsEdYG3eStbOWEGiJ8HpeMPK6mkbHMffUYdr2mz865/CTEhzOpaIiIxjKvVFREREJiA73E/4xM+IVhwGlxfffU/imbcZw3Q5HW1YRa0Yp1rOsrf+EG3BDjymh5XT7mdD/mrS/VowERERERERGWtiVoyTLWfZXX+QjuAtfC4vq6c/xPr8VaR4k52ON2zseJTw6/9B9M19GIEU/BuentCPwBMRkZGlUl9ERERkArFtm1jtGcLHfoId7ME1fS7+VZ/ETJlYu9VDsTDHmk+yr+Ew3ZEeAu4Aa2Y8xNoZK0j2JjkdT0RERERERN5B3Ipzru0SO+v309Lfisd0s2La/WzMXzOhbtKOVp8kdPg5iIXxLn0C7+JHMQyN4xcRkfdGpb6IiIjIBGH1dxI++mNi9efBl4j/wT/GXbYCwzCcjjZs+qMDHLxxjEONx+iPDZDiTWZ93ipWTn+AwAR8FqOIiIiIiMhEZ9kWl9qvsLN+P429TbgMFw9MXcrmgnVkBTKdjjcsrK4Wgnu/jXW7EdeMefjX/SVmIMXpWCIiMo6o1BcREREZ52zbInr1IOGTP4doEHfJ/fge/BPMhFSnow2brnA3+xoOc7T5JJF4hEx/BpsK1vDAlGV4XB6n44mIiIiIiMj7ZNs2b96uYGfdPmq66zENk6U5i9hSuI6piblOx3vf7FiE8PEXiF47jJGYPjiOf0q507FERGScUKkvIiIiMo7Fu5oJH36eeEslRmIG/lWfwJ2/yOlYw6ZtoIO9DQc5efMsMTvOtMQpbC5Yx5KcBbhMl9PxREREREREZJjZts31rhp21u2jorMKA4OF2fPYWrievOTpTsd736KVxwgd/RHEY3jv+yDehVs1jl9ERN6RSn0RERGRcciOx4hcfJXIuVfAiuOZuwHffX+E4Q04HW1YNPY2s6f+AOfaLmFjU5RSwJbCdczLnD2hHicgIiIiIiIid1fbXc/Ouv28cesqAPMyZ7GlcAPFqQUOJ3t/4p1NhPZ8G6urGVf+QgJr/wLDn+R0LBERGcNU6ouIiIiMM/HWKkKHn8PqbMJMn4Z/9Z/hyi11OtawqOqqZXf9Aa7cugbA7IxythSsozStWGW+iIiIiIjIJNXY28yu+v1caLuMjU15eikPF66nLK1k3H5WtKNhQkd/ROz6cYykTAIb/wpXTonTsUREZIxSqS8iIiIyTtjREOHT/0X0jb1guvAufhTvou0YLrfT0d4X27a5cusau+sPUN1dh4HBopz5bC5YS37yDKfjiYiIiIiIyBjR0t/K7vqDnG49j2VbFKUUsLVwPXMzZ43Lct+2baIVhwkfewFsC9/9H8Yzb/O4fC8iIjKyVOrA13yFAAAgAElEQVSLiIiIjAOxhkuEjv4Iu+8WrtwyfKs/jSt9mtOx3hfLtjjfdold9Qdo6ruJy3CxfMoSNuWvITcxx+l4IiIiIiIiMkZ1BG+xu/4gJ26eIW7HyUuaxpbCDSzMnos5Dp9PH7/VSHDvt7C7W3EXLsW/5s8wfHcvbkREZPJRqS8iIiIyhlnBHsKv/5RY1Qnw+Afv2p+9FmMcLlL8RtSKcermWfY0HKQ9eAuv6WHF9PvZkLeadH+a0/FERERERERknOgMdbGv4TBHm08StaJMSchhS+F6luYsxGW6nI73ntiRIKHDzxGrOYWRnE1g0+dwZRU6HUtERMYIlfoiIiIiY5Bt28SuHyf8+r9jh/tw5S/Cv/LjmEmZTke7Z6FYmGPNJ9nXcJjuSA8Bd4C1Mx5i7YyVJHm1A0FERERERETuTW+kj/2NRzh84ziheJgsfwabC9axfOpSPOb4eWSdbdtE39xP+PV/B8D30J/gmb1O4/hFRESlvoiIiMhYY/W0EzryPPGmKxiBFHwr/hR30X3j9kP8QDTIgcYjHLpxnP7YAKneZNbnr2bltPvxu/1OxxMREREREZEJYiA6wMEbxzjQeJSBWJA0Xyob89ewYtpyvC6v0/HetXh7HcG938bubcddcj/+VZ/C8AacjiUiIg5SqS8iIiIyRtiWRfSN3YTP/BJiETwzV+G7/yMY/iSno92TmBXjcNPr7KzdR39sgCx/BhsL1vLAlKV4XB6n44mIiIiIiMgEFYqFONJ0gn0Nh+mN9pHsSWJ9/ipWT39w3Nxcbof7CR36IbG6cxipUwhs/ByuzDynY4mIiENU6ouIiIiMAfFbDYQOP4fVXouRkoN/1adwT5/jdKx7Yts259ou8avqHXSEbpPmS+WR4i0sz1087p5pKCIiIiIiIuNXJB7lePMp9jQcpCvcTYI7wNq8laydsYJET4LT8d6RbduDN/+f+E8wTfwrPo575qpxO8lPRETunUp9EREREQfZsQiRc78icnEHYONdsBXv0scx3D6no92Tqq5aXqx6lbqeBvwuH5sL1rEubxVe7cwXERERERERh8SsGCdbzrK7/iAdwVv4XF5WT3+IDfmrSfaO/el48dYqgnu/g91/G3fZCvwrP4HhGZ/rBiIicm9U6ouIiIg4JNZ8jdCR57C7WzEzC/Cv+TSurEKnY92T1v42Xq7ewcWOK5iGyarpD/Jw4YZxsTgiIiIiIiIik0PcinO27SK76vbTMtCGx/SwYtpyNuavId2f5nS8t2WH+ggefJZ4w0XM9Gn4N/4PXOnTnI4lIiKjRKW+iIiIyCizw/2ET/4n0WuHwOXBt+xJPPO3YIzD0fS9kT5eq93D0eaTWLbFouz5PF6ylZyEbKejiYiIiIiIiPxBlm1xqf0KO+v20djXjMtw8cDUpWwuWEdWINPpeHdl2xaRizuJnP4FuNz4V30KT9lDTscSEZFRoFJfREREZBRFa88QPvoT7GA3rulz8K/6FGZKjtOx3rNIPML+xiPsqT9IKB6mKKWAD5Rtpzi10OloIiIiIiIiIu+KbdtcuXWNnXX7qe2pxzRMluUuYkvBOqYk5jod765iNysI7fsu9kAXnllr8D30MQy31+lYIiIyglTqi4iIiIwCq7+T8LEXiNWdBV8i/gc+irt8JYZhOB3tPbFsi5M3z/Lr2t10hbvJDmTyeMk2FmXPG3fvRURERERERAQGy/3rXdXsqNtPZWcVBgaLsuexpXADecljc8S9FewhtP8Z4k1XMDPzCGz4HGbaFKdjiYjICFGpLyIiIjKCbNsieu0w4RM/g2gQd/FyfA99DDMh1elo79mbtyp4sepVmvtbSPQksK1wEyun34/bdDsdTURERERERGRY1HTXs6tuH2/cugbAvMxZbCncQHFqgcPJ3sq2LCIXXiFy5iXw+PCv/jM8JcudjiUiIiNApb6IiIjICLG6bhI68jzxmxUYiRn4V34cd8Fip2O9Z429zbxU9SrXOq/jMd2sy1vF5oK1BNwBp6OJiIiIiIiIjIjG3iZ21e3nQvsb2NiUp5fycOF6ytJKxtykuljTm4T2fw872INnzgZ8D34Uw+VxOpaIiAwjlfoiIiIiw8yOx4hcfI3I+V9BPI5n7np8930Qwzu+SvDOUBev1OziVMs5AJZPWcKjxVtI96c5nExERERERERkdLT0t7Kr/gBnWi9g2RZFKQVsLVzP3MxZY6rctwa6CO37LvGbFZhZhQQ2fg4zJdvpWCIiMkyGpdR/4YUX+OUvf0llZSWbNm3iG9/4xl1fe+rUKb7yla/Q2NjIzJkz+drXvkZZWRkAJ0+e5JOf/CSBwG8XvJ966ik++9nPvpf3NESlvoiIiIw2q7+T4O5/wWqvxUybhn/1p3FNKXM61nsSjAXZXX+QA41HiFoxZqWX8UTp9jH7HEERERERERGRkdYRvMXu+oOcuHmGuB0nL2kaWwo3sDB7LqZhOh0PANuKEzn7EpHzr4A3gH/tZ/AULnU6loiIDINhKfV3796NaZocP36czs7Ou5b6nZ2dbNq0iS9/+cts3bqV5557jl/84hfs2LEDt9vNyZMn+fznP8+xY8fu/R393vlU6ouIiMjoid9uJLjjG9j9t/Eu2o536RPjatxdzIpxtOkkO+r20hftZ1riFJ4o3c6cjPIxtftARERERERExCmdoS72NhziWPNJolaMKYm5bClYx9KchbhMl9PxAIg1XiK0//vY4T4887fgu/9DGKbb6VgiIvI+vFOp/67+L79582YArl69Smdn511ft2fPHgoLC3nssccA+MxnPsOPfvQjTp8+zYMPPvhecr8rhjH4JSIiIjLSYo2XGdjzbYhH8a/7S7zlDzkd6V2zbZsL7W/wUtVrtAdvkepL4eOzP8T9U5eOmd0GIiIiIiIiImNBRiCND898nK2F69nfeIRDN47zozf/g9dq97CtaCP3TVns+GdpT/4CXB/83wT3fpfo5V1YrVUENv4VZnKmo7lEROTevVPnPay3blVWVjJr1qyh710uF2VlZVRWVg6V+l1dXaxYsQKv18uqVav4/Oc/T1ravT23NS3t7ncriIiIiAyXnnO76dn5LKYvgdyP/F8ECuY6Heldq+io5oWLv6TiVg0Bt5+Pzn+M7eUb8Lm9TkcTERERERERGbOySKZ4+kf4aPgRdlw/wKuV+/nRmz9j741DfGjuIzyQ53C5n5WM/emvcfvgT+k+8TIDL/4vch77nySUahy/iMhENKyl/sDAAKmpqb/3s5SUFPr7+wEoLi7mpZdeoqSkhLa2Nr785S/zN3/zN3zve9+7p/N1dWn8voiIiIwc27YIn/w5kYs7MFKyCTz8efoTp9Lf0et0tHfUNtDOy1U7Od9+GdMwWT39QbYXbyLZm0RvV5hewk5HFBERERERERkX1k1Zw/2Z97Gv4Qj7G4/wT6//gOmXp/Jo8WbmZ81x9pF2C58kkFpI8OAPaPnZP+BdtB3ffR/AGCOPChARkXfH7TbfdkP7sJb6CQkJ9PX1/d7Pent7SUwcDJCdnU12djYAU6ZM4W//9m/ZvHkzwWCQQCDwns9n24NfIiIiIsPNjkUIHfg+sdozmLmlBDb/T8xAypi/9uiL9PNa3V6ONL2OZVsszJ7H48VbyU3MAXTtJCIiIiIiInIvAu4EHinewpoZK9jTcJDDN47zvUs/oiA5j0eKNzM7o9yxct9dsJjED/wdwb3fIXLhVeIt1/FveBozMd2RPCIi8t6907rtsJb65eXl/PznPx/63rIsKisreeqpp/7g603TxLZtbK0ui4iIyBhiBXsI7vonrLYa3MXL8a/9DMYYH1cfiUc52HiUXfUHCMVDFKbk82TpdkrTipyOJiIiIiIiIjJhJHuT+EDpI2zIW82u+gMcazrBty/+kJLUQh4t3kJZeokjuczkbBIe+78Jn/wZ0Tf2MPBfX8a//incM+Y5kkdERIbXu3rgSywWIxwOE4vFsCyLcDhMNBp9y+s2bdpEbW0tv/71r4lEIvzgBz8gMTGR++67D4ATJ07Q1NSEbdu0t7fz1a9+lRUrVpCQkDC870pERETkHsU7mxl46StYbTV4Fz2Cf8Nnx3Shb9kWJ26e4X+f+H94uWYHSZ4E/nzen/LFpZ9ToS8iIiIiIiIyQlJ9KXy4/HH+14NfYsW05dT2NPBP55/hX85/n5ruekcyGS43/oc+hn/j57DjMYKv/b+Ez7yIbekxxiIi451hv4tt8t/85jf51re+9Xs/e/LJJ/n617/O4sWLefbZZ1m2bBkAJ0+e5Ctf+QqNjY3MnDmTf/iHf6CsrAyA5557jueff57u7m6Sk5NZtWoVX/ziF8nIyLin8J2d/cRi+stIREREhkes+SrB3d+EaBjfqk/gnbXG6Uhv6+rtSl6sepWmvpskuhN4uGgjq6Y/gNsc1mFMIiIiIiIiIvIO2gdusaNuL6dazmFjMzdzFo8UbyY/eYYjeazuVoJ7v411qwHX9Dn41z2FmZDqSBYREXlnbrdJenriXY+/q1J/rFKpLyIiIsMlWnmU0KHnwO0lsOl/4J4x1+lId9XUd5MXq17l6u1K3KabdTNWsrlgHQmegNPRRERERERERCa1lv42Xqvdw9m2iwAsyp7H9qLNTEuaMupZ7FiE8Os/JXr1IEYgFf+Gp3FPmzXqOURE5J2p1BcRERF5G7ZtEzn7IpFzv8JIyiSw9fO4MqY7HesP6gp380rNLk7ePIuNzX25S3i0eAuZgXSno4mIiIiIiIjI72jqu8mva3ZzqeMKBgZLcxeyrWgTuQnZo54lWvU6ocPPQzyCd9kH8C7ajmG8q6czi4jIKFGpLyIiInIXdjxK6NAPiVWdwMwuIrDl/8BMSHM61lsEYyH21h9kX+MRolaU8vRSnizd5tgIPxERERERERF5d+p7Gvl1zW7evF2BgcH9U5bycNFGsgL39ljiexXvaia05ztYnTdw5c3Hv+4vMf3Jo5pBRETuTqW+iIiIyB9gh/oI7v4X4i2VuAuX4F/3FIbH53Ss3xO34hxrPsmrtXvoi/YzNTGXJ0q2MTdzFoZhOB1PRERERERERN6l6q46XqnZyfWuGkzD5KFpy9lasJ50/+htLrBjYUJHXyBWeQQjMYPAhqdxTSkbtfOLiMjdqdQXERER+W+s7lYGdv5/2N2teOZvwXf/RzDMsTN2zrZtLnZc4eXq12gb6CDVm8z24s08MGUZLtPldDwRERERERERuUcVt6t4pWYXtT31uE03q6Y9wObCdaR4R2/XfLTiCKGjPwErjm/5B/Es2KrNAyIiDlOpLyIiIvI7Yi2VhHb9C3akH99Df4p37ganI/2e2u56Xqx6leruOrwuL5vz17I+fzU+l9fpaCIiIiIiIiIyDGzb5s3bFbxSs4vG3ia8poc1M1awsWANSZ67FzrDKX77BqE938LqbsFdsBj/2s9g+Ebn3CIi8lYq9UVERETuiFadIHTwB2C6CGx8Gnf+IqcjDWkfuMXLNTs433ZpaAzf9qJNo3qnvoiIiIiIiIiMnt9M6nu1ZjfN/S34XT7W5a1iQ/4qAu7AyJ8/GiJ05HliVScwkrMIbPgrXDnFI35eERF5K5X6IiIiMunZtk3k/CtEzvwSIyGNwNa/xpVV4HQsAPqi/eys3cfhpteJ23HmZ83hiZJtTEnMcTqaiIiIiIiIiIwCy7Y413aJV2t30zbQQYI7wIb8NaydsQK/2zei57Ztm+i1Q4SPvwC2je+Bj+KZu1Hj+EVERplKfREREZnU7HiM0JEfEas8gpmZR2DLX2MmZTgdi2g8ysEbx9hVv59gLERBch5Plm6nLF13xIuIiIiIiIhMRnErzunW87xWu4dboU6SPIlsLljHqukP4nV5RvbcHfUE934bu6cNd9Ey/Gv+DMObMKLnFBGR31KpLyIiIpOWHe4nuOdbxJuv4spbQGDD0xjekR9f93Ys2+JM6wV+Vb2TznAXmf4MHivZypKcBZiG6Wg2EREREREREXFezIrx+s0z7KzbR1e4m1RvMlsKN/DQtOV4TPeIndeODBA69K/Eas9gpOQQ2Pi5MTPpUERkolOpLyIiIpOS1dNOcOc3sLqa8cxZj++hj2GYLkczVdyu4sXqV2nsbSLBHeDhwg2smvHQiH4gFxEREREREZHxKRqPcrT5JLvq99Mb6SPdl8a2oo3cP2UprhFa47Btm+iVvYRP/AcYBr4HP4Zn9lqN4xcRGWEq9UVERGTSibdVE9z1z9jB3sFnwc3f7OiHz+a+Fl6sfpU3b1XgNlysyVvB1oL1JHg0xk5ERERERERE3l44HuHwjePsaThIf3SArEAm24s2sSx30YhN/Yu31QyO4++7hbv0AfyrPoXh8Y/IuURERKW+iIiITDLR2jOE9j8DGPg3PIWncKljWbrC3bxas5vXb57BxmZZ7iIeK95KZiDDsUwiIiIiIiIiMj4FYyEONh5lb8NhQvEQUxJy2F68mUXZ80ak3LfD/QQPPEu84QJm2lT8Gz+HK2PGsJ9HRERU6ouIiMgkYds20Us7CZ/8T4xAMoEt/yeunGJHsoRiIfY2HGJfw2EiVpSytGKeLN1OQUqeI3lEREREREREZOIYiA6wr+Ew+28cJRKPMD1pKo8Wb2Fe5uxhn1Ro2zbRyzsJn/w5mG78Kz+OZ+aqYT2HiIio1BcREZFJwLbihI/9hOjVg5jp0whs/WvM5P+fvTuPjuuu7z7+vnd27V5kS7ZleZPteIkXed/teCNOQhLSAk1LKM/TAg8tZUk5/aNwzgOFw3L6QIA2UEoJ0BZIQ8hm4iWx4zWW433fLVm2LFurrWVGs9z7/GFbmtWrpLHkz+uckJl7f8v395sJtuYz9yq/2+uIWBG2X9zJ6rPraQo2U5AxgCdHPdolP1SLiIiIiIiIyIOtKdjM+or32HxhOyErTHFOEY8PX8HYviWd/jlEpPok/ndfxG6pxzl6Pt55f47h9HTqHCIiDzKF+iIiItKr2UE//nf/lUjlQRyDx+Nb+n8wPKn/8tMlNdg2B2uP8Nrpt7nUeplsdxaPDV/O7MLpOExHt9YiIiIiIiIiIg+WK21XWVuxga0XyojYEUbmDufxESso6dO5dzC0Ak0ENv4bkcqDmH2G4F3yaRz9dFdCEZHOoFBfREREei2ruQ7/mh9g1VfiGrMAz/xPYJjObq2h4molr556i1ONZ3GbLpYOXcgjQxfi1bfVRURERERERKQb1QcaWFP+Lu9f3IVlW4ztU8JjI5YzPLe40+awbYvgvj8S3PV7wMT98ArcpR/WVfsiIvdIob6IiIj0SpHacvxrfoDd2oh7+jO4J6/q1lvc1/rreeP02+y+vB8DgzmDprNq+HJyPTndVoOIiIiIiIiISLzLrbW8Xf4OH1TvxcZmQr+xPDZiBUXZgzttjkhNOYEtv8CqrcDIzsc77xM4iyZ22vgiIg8ahfoiIiLS64Qr9uF/90WwI3gX/RWukTO7be5AuI23y9/hvcqthO0IE/o9xIdHfohBWQXdVoOIiIiIiIiIyK1Ut1xi9dn17Ll8AIDJ+RNZNXxZp32GYVsRQofeoW3XqxBuwzlyFp7ZH8fMyO2U8UVEHiQK9UVERKRXCR5aT9v7/43hycK3/PM4Ckq6be4DNYd5+cTrNLQ1UpQ9mKdHrWJ0n1HdNr+IiIiIiIiIyJ0631TFW2fXcbD2CAYGpQMnsWr4MgZk5HfK+FZTLYFtvyZybj+4M/DM+iiuMfMxDLNTxhcReRAo1BcREZFewbYs2nb8htCh9Ri5BWR86EuYOQO6Ze6GQCMvn3idA7WH8Tq8fHjkSuYNnoWpH05FREREREREpIcov3qOt86s42j9CUzDZGZBKR8a9gj9fH3veWzbtgmf3UXb9v/Cbm3EUTAaz/xP4ugzqBMqFxHp/RTqi4iISI9nh9oIbPgJ4Yq9OArH4Fv2txjerC6fN2JFeO/8Nt46u45gJEjpgEl8pORxcj05XT63iIiIiIiIiEhXONV4lrfOrOVk4xkchoM5g2awctgS8jz3ftt8O9hK285XCB3ZCKaJe/Iq3JMfw3C6O6FyEZHeS6G+iIiI9GhWayP+Nd/Hqq3AOWo23oWfwnC4unze8qvn+M2xVznfXEV/b18+OuYpxvUb0+XzioiIiIiIiIh0Ndu2Od5wirfOrOXs1XM4TSfzB89iefFictzZ9zx+5NIpAltewqo/j5E7EO/8T+Ic9FAnVC4i0jsp1BcREZEeK1Jfif/t72O31OOe+mHcpU9iGEaXzukP+3nj9Bq2XNiBaZgsG7qQFcMewd0NXyQQEREREREREelOtm1zuO4Yb51ZS2VzFW7TxaKieTwydAFZrtTh0m2NbYUJHlhLcPfrEAniHD0Xz6yPYXrv/UsDIiK9jUJ9ERER6ZHC5w/hX/9jiITwLvgUrtFzu3Q+27bZfXk/vz/5JleDTYzKG87HxjxNYebALp1XRERERERERCTdbNtmf+1h3jqzlostl/A6PCwpms+SofPxOX33NLZ19TKBrb8icv4QhicLz+yP4yyZ0+UXboiI9CQK9UVERKTHCR59j7atvwKXF9/yv+3y27PVtNbxuxN/4Gj9CTJdGTw1chWzCqfph0sREREREREReaBYtsWeS/tZfXY9l/21ZDh9LB26kIVD5uJ1eu56XNu2CZ/eQdv7v8H2X8Ux6CG885/DzC3oxOpFRHouhfoiIiLSY9i2RXDnKwT3/xEjOx/fh76II29Ql80XtsK8c24Ta8rfJWSFmVUwjadGrSLLfW+3lxMRERERERER6ckiVoSdl/by9tn11AUayHJlsqJ4MfMGz76nX1FoB5pp2/kyoWObweHEPeUJ3JMexXA4O7F6EZGeR6G+iIiI9Ah2OEhg478RPrsLc+AofMs/j+nL6bL5Tjac5rfH/0B162UGZgzg42OeoqTPyC6bT0RERERERESkpwlbYd6/+AFryjfQ2HaFXHcOK4ctYfagGbjMuw/iwxeP07blJazGi5h5g/As+CTOgtGdWLmISM+iUF9ERETue5b/Kv61L2BdPo1zxHS8i/4Kw+nukrmagy384dRqdlTvwmU6WTnsER4ZuvCefhAVEREREREREenNQpEQW6vKWFuxgaZgM329fVhevJhZhdPu+jMVOxIiuP+PBPe8CVYY19iFeGb+KYZHd1AUkQePQn0RERG5r0UaqvCv+T52Uw3uyatwT/8IhmF2+jy2bbPj4i7+cHo1LaFWHuo7mo+Ofor8jH6dPpeIiIiIiIiISG/UFgmy+fx21p97j5ZQK7nuHB4ZuoB5g2fhcdzdBRpWYzWBrb8kUnUUw5eDZ/af4Rw5E8MwOrl6EZH7l0J9ERERuW+Fq47iX/cjCAXwzPsE7ocWdck8F1su8dvjr3Kq8SzZ7iyeKXmC0gGT9MOhiIiIiIiIiMhdCITb2Fq1g3fPbeZqsIlMVwaLh8xn4ZA5ZLh8dzyebduET2wlsOO30NaCo2gi3rmfwMzJ74LqRUTuPwr1RURE5L4UOrGVwOZfgMONb9nncA6Z0OlzBCMh1pS/yzvnNmHZFvMHz+LxESvv6odLERERERERERGJFYqE2FG9i/UV71EXaMDr8LJgyGyWFM0n2511x+NZ/qu07fgd4ZPbwOHGXfok7oeXY+jXJopIL6dQX0RERO4rtm0T3P0awT2vY2T1w7fyizj6Dun0eY7UHed3x/9AbaCewVmFfHzMRxieO7TT5xERERERERERedBFrAi7Lu1jbcVGLrVexmW6mDtoBkuHLqSPN++OxwtfOEJgyy+xr17C7FuEd8EncQwY2QWVi4jcHxTqi4iIyH3DjoQIbPoPwqfex+w/DN/KL2Bm3PkPdjdzpe0qvz/5Jrsv78ftcPPY8OUsGjIXh+no1HlERERERERERCSWZVvsqznEuvINVDZX4TAczCwoZVnxIgZk9L+jsexwkODeNwnu/yNYFq5xS/DMeAbDrTswikjvo1BfRERE7gt2oBn/uh8SqT6Bs3gK3iWfwXB5Om18y7bYcmEHb5xeQyAS4OH+4/mT0U/Q19un0+YQEREREREREZFbs22bI/XHWVO+gTNXyjEwKB04iRXFSxiUVXBHY0XqL9C25SUil05iZOThmfvnOIeVYhhGF1UvItL9FOqLiIhI2llXLtG65v9hX7mEa8JyPLM+hmGanTZ+ZdMFfnP8VSquVtLHk8efjP4wk/LHd9r4IiIiIiIiIiJy52zb5lTjGdaUb+BYw0kAHu4/npXDllCcU3QH41iEjm2mrexlCLbiLJ6CZ+6fY2b166rSRUS6lUJ9ERERSatw9UkCa1/ADrbgmf0s7glLO23sQDjA6rPr2Vi5FcMwWDxkHo8OX4bX2Xl3ABARERERERERkXtXcbWSNeUbOFB7GICxfUpYOWwJo/JG3PZV91ZrI23v/4bw6TJwevBMfxrX+GWdevGIiEg6KNQXERGRtAmd2kFg07+D4cC39LM4h07utLH31xzi5ROv09h2hWE5Q/n4mKcZkj2o08YXEREREREREZHOd6H5IusqNrL70n5sbEbkDmNF8WLG9xt72+F++NwBAtt+hd1Ui9l/GN4Fn8TRf1jXFi4i0oUU6ouIiEi3s22b4L63CH7we4yMPHwrv4ijf3GnjF3nb+B/Tr7Owdoj+JxenhjxIeYNnolp6BvZIiIiIiIiIiI9xeXWWtZXvEdZ9W4idoSirEEsH7aEyfkTbutzHjvURnDP6wQPrAHsa7/ycdpTGC5v1xcvItLJFOqLiIhIt7KtMG1bfkno+BbMvkX4Vn4RM6vvPY8bsSJsPL+V1WfWEbRCTBs4madHPU6uJ7sTqhYRERERERERkXRoCDTyzrlNbKvaScgKMTBjACuKFzNt4GQcpuOW/SN15whsfgmr5gxGVj+8c/8CZ3Hn3S1SRKQ7KNQXERGRbmO3teB/51+IXDiCo+hhfDAV180AACAASURBVI98FsPtu+dxz16p4DfHX+VC80X6+/rxsdFP8VC/0Z1QsYiIiIiIiIiI3A+ags1sqNzC5vPbCUTa6Oftw7LiRcwqmIbL4bppX9uyCB3ZQNsHr0AogHP4NDxznsXM7NNN1YuI3BuF+iIiItItrKYa/Gu+j9VQhWvcEjxznsW4jW9T30xrqJXXz6xh24UyTMNkWfEiVhQvwX2LH+RERERERERERKRnag352XR+OxvPb6El1EquO5slQxcwb9AsvE7PTftaLQ20bftPwuW7weXDM/NPcD20CEO/tlFE7nMK9UVERKTLRS6fwb/2B9j+JjyzPopr4goMw7jr8WzbZtelffz+5Js0hZopyRvBx8Y8RUHmwE6sWkRERERERERE7leBcBvbqsp499wmrgSbyHRlsHjIPBYOmUOGK+OmfcPlewls+zV2Sz3mgJF4F3wSR9+ibqpcROTOKdQXERGRLhU6u5vAhp8C4F3y17iGT7un8S631vK743/gWMNJMl0ZPD3qMWYWlN7TlwRERERERERERKRnCkVC7KjexfqK96gLNOB1eFgwZA5LiuaT7c5K2c8O+mnb9QdCh9cDJu5JK3FPfQLjFlf7i4ikg0J9ERER6RK2bRM6uIa2HS9j+LLxrfgCjgEj7nq8kBXmnYr3WFOxgbAVZnbhdJ4c9ShZrtR/kRERERERERERkQdDxIqw69I+1lVspLr1Mi7TyZxBM1k2dCF9vHmp+9WcJbD5Jay6CozsfLzzn8M5ZEI3Vi4icmsK9UVERKTT2VaEtu3/RejIBsw+g/Ct/CJmdv5dj3ei4TS/Pf4ql1prKMgYwMfGPE1Jn7v/goCIiIiIiIiIiPROlm2xv+Ywa8vfpbK5CofhYGbBVJYVL2ZARv+kfWwrQujQO7TtehXCbThHzcIz+88wfTndXL2ISHIK9UVERKRT2UE//ndfJFJ5AMfgcfiWfg7Dc3dX0zcFm/nDqdWUVe/GZTpZOWwpS4cuwGk6O7lqERERERERERHpTWzb5kj9cdaUb+DMlXIMDEoHTmJ58WIGZxUm7WM11RLY9msi5/aDJxPPzD/FNWY+hmF2c/UiIrEU6ouIiEinsZrr8a/5PlZ9Jc7R8/HOfw7DcecBvGVb7Li4i9dO/ZGWcCsP9R3NR0c/RX5Gvy6oWkREREREREREerOTDWdYW7GBo/UnAJjYfxwrhy1hWM7QhLa2bRM+u4u27f+F3dqIo2A0nvmfxNFnUHeXLSLSTqG+iIiIdIpIbQX+Nd/Hbm3EPf0juCc/hmEYdzxOVXM1vz3+KqevlJPjzuaZkieYOuDhuxpLRERERERERETkhoqrlawt38D+2sMAjO1TwophSyjJG5Hw2ZMdbKVt5yuEjmwE08Q9+THck1dhON3pKF1EHnCdEur/53/+J6+++ionTpxg2bJlfP/730/ZdufOnXz961+nsrKSMWPG8M1vfpOSkpKYsX7605/S3NzMwoUL+ad/+ieysrLucFnXKNQXERHpHuGKffjffRHsCN6F/xvXqFl3PEYwEuTt8nd559wmbNtm/uDZPDFyBT6nrwsqFhERERERERGRB1VVczVrKzaw+9J+bGxG5BazongJ4/uNTQj3I5dOEdj8ElbDeYzcArzzn8M56KE0VS4iD6pOCfXXrVuHaZps376dhoaGlKF+Q0MDy5Yt42tf+xorV67kF7/4Ba+88gpvv/02TqeTbdu28eUvf5lf/OIXFBUV8ZWvfIXs7Gy+853v3NXiFOqLiIh0Ldu2CR1aR9uO32K4M/Gu+DucBSW37hjncN0xfnf8NeoC9QzJGsTHxz6d9PZnIiIiIiIiIiIineVyay3vnHuPHRd3E7EjDMkaxIphS5icPwHTMNvb2VaY4IE1BHe/DpEQztHz8M76GIb37i5KFRG5U516+/0f/ehHnDlzJmWo//LLL/Pyyy/zyiuvABCJRJg/fz7//M//zOzZs/nyl7/MwIED+cpXvgLA8ePHeeaZZ9i5cyc+351fpfdP/1FG5aWmO+4nIiIit8G2sVsbsYOtYDoxs/qBw3lHQ0TsCFfbmghEAhgYZLuzyHRmgG61LyIiIiIiIiIi3SRiRWgJtdAa9mNj4zScZLkz8Tm8sZ9TRcJYrY0QbgPDxPDlYnh8gD7LEpGuVTQwm3/81MyU5+/sk/lbOHHiBGPHjm1/7nA4KCkp4cSJE8yePZuTJ0+ycOHC9vOjR4/GsiwqKipi+t0uh8PA4TBv3VBERETujBUh3FSHHW7DcHlx5vQD407+zLVpDrZyNdCEhYXP6SXPm4vDdHRZySIiIiIiIiIiIsk4HCZuVx65djZNbS20BFtpbLtCs9FCtieTDHcGBgY43DjcA7DaWok0N2C3NkCoFWdW3zu+2EVE5E44HDf/8lCn/j9Qa2srubm5McdycnJoaWlpP5+dnd1+zjAMsrKyaG5uvqv5Pvvh8br9voiISCeL1FXSuuYH2JE63A+vwDPzSQzz9gP9c1fP89/HXqW26TwF3jz+dPSTPJw/rgsrFhERERERERG5/9i2Tfutkm2wsYm+d/K1x3b74ztua99obsc9v9bIjul7rZ6O82BHdbCj2nF97vh6omuxo57E9u2YJ2buqCe3ah/1LGm7+LUmm+9G+9g1dBxvswIcbtrLgas78Vt+MDN5OGcaYzMn4zLdABjBVvqfWU3uxZ1YtpO6wY9QX7QQDGf7ftzOfMlei+urSzJGx+JSvgYxa0/cq/j3RvzepH4tkr3nro8RO3VCndF9oudMXEfy1/DaqdSvY3S7+NcyWZ8bdScci3uNOmqJneN23nc3Grb3ianv5q9V9BxJX6/b7he3N1H1Jxsrvr7E/bnLfsS+FsnHTrH3SdZxe32Tz3cnY3Zq/5h2qfc3pva4ObN8N4/tOzXUz8jISAjom5qayMzMTHm+ubmZrKy7+50ktp24ISIiInL3QuW7CWz4N7DCeBf+L1xj5gO39+dtIBzgrTPreO/8NgzD4JGhC3h02DK8To/+vBYRERERkbRo/xDYjv1w/8YHrtHBWNLzRH0AGzMW7R/kJ4RlNz70vt4uum37sZi2Nz9/o5Lo2qLHT6w9+djRbRPDgsS96Kil43z7vt5kvfH1JG1zk/2MWfet9jxhLbe3rzFtUuztjTGTvzeSrzm2T2K9Sfc5pr72kW++rttYW8z+paz7JqFvzB5EvYeia4+pO3F98fPFtIvep9taY1xdUZPEvCfiwjc7qlOydrFzJoaiqf57Sawl8T0uPUEmmHNx5J/HLjxLmbWJHbXbCVcXE75UDBEXMJaRzj78aeYOCsrXEj5Vxu9aZ3E2PCDdxUsPYUQ9MK4/i//NpEZUoxuPo/tdPxM1TmK/6D7R4xtxk8WMb8T2I27u6L4JdSVZi5Gk1lRzJe7BtV4GgBk/l5m8hpvN197euLu+cYsyUtQc+zx13/g5E8YChgzM5mY6NdQfPXo0//M//9P+3LIsTpw4wac//WkASkpKOHbsGI8//jhw7Xb9pmlSXFzcmWWIiIjIHbJtm+DeNwnuehXDm413+fM4C0puu+++mkO8cvINGtuuMDxnKB8f+xEGZxV2cdUiIiIiPUuycPFGOGDZyY/fCBBu9LWv/0/0cW48jglTOuay4oIS244OWBL7w/U+UcFMxxhR7eODwpjwqmMdsYFObGBy43nKNlHjRu9hsn2ID3Daz8WNnTBu0r1I3Jvk+5HkXJLALNnrHBty2SnmvT5GknPx+5EsqItpF3+OW9eS7HzK/Yx7391WQH6TemPGvUVNqd5vIg+CG3lFfFB0I8gwjNgwwbieBhnRbSCub5IA5HrYEh16JG0XF1QYUXPGjxUfOiUGOWbK+jtqiJ3TSNUueg1J1tpRa8fJ6LFiak3SL2EdyfYuybwJbVOtpf1xbIgXuz9JXqOEvU/1Xol9bxDVNjGwSx5wGVHrJFldt1x/8vddsn1K+rrFzdWxX1Ft49bWMcVELMKcCRzhSMsumoecIqPoHKN9k3gocyo+xzgarAU4zr/HwMoNfCFnDQ0FM6kd8SiW0xdTd7LXsH19Ce/djgZJ3+txe5mwJzHjJNuXxDFShYoJYWyKsZO9vxPXFNc+oYaoPreoK9m6ks0dP8etwuhkoXqycDfZ65Q4btx/Z3Hzi9wup/Pmd8u9rVA/HA4TiUQIh8NYlkVbWxumaeJyuWLaLVu2jO9+97u89dZbLF++nJdeeonMzEymT58OwNNPP83zzz/P448/zpAhQ3jhhRd49NFH8fl8d7k8ERERuVd2OEhg088Jny7D7FeEb/nfYWb3v62+df56Xj7xGofqjuFz+vjYmKeZO2gGpnH7t+sXERG5mejArz2waQ9/YkOcZMGnFR8eRfclarzogCpJYJd67mvtrBvzAdyyxuh+Uf9O0S663vjg9KbrJfnaYo8nCcKSHLevJ4DtYWXSGuLGT7K/8eHkjQAvcR8SQ+sbe5wqWEy5zhv7lrJd54ToyfaXuLFE7kV0GBMdinSEULGBzI3gxYwPUNrbG1H9kpyPmSdq3rgwzjCuz9H+YfitazKMqA/Pb5wj+dipa+6oz4wPFuPWlmzcmPO3W3OyfYtqm/j63Pp8+67dVe13+JqmOA93Vn/SvU66Vx3tU+9n8vfBjZqSvxduVdNN6jRuPkfKNkn3J2r/kuxxx/hxr0Oqeo3YeiD5axE/roh0nvkUEbGWsuvSPtZVbORw6wecCOxlzqAZLB26kL4TnsVqXEJgyy/pc7GMvleO4pnzLM4RM/TfpIh0OcOOv+l/Ej/60Y/48Y9/HHPsqaee4tvf/jZTpkzhZz/7GdOmTQOgrKyMr3/961RWVjJmzBi+9a1vUVLScaXfr3/9a37605/S0tLCggUL+OY3v3nXt99vaGghHLbuqq+IiIiA1dKAf90PsWrO4hxWinfxX2G4vLfsF7EibKjcwh/PridohZg2cDIfKXmcHPfNbxEkIr1PsoDTig7xokIv60bIFd8mSRh7Y5wbAaBlx4Z/qcLV9r5Eh7Mp5ooK36IDVesWbW+0IarOG+GilaRt/Nzxc0WvKT40ta6HjO1XdkYdi62/Y68S5o7a06RBa4pwtv31iz6Wsm+KcD3lXiR7TaLD245wVHqn6IAwJng0OkIVI0l4YkSdx4gN8hKCk/Z2saFmdKgSHURG1xIfOJrXxzGixgau9zfa504VMJpGdFhjpD5Okj2IWkf0vhBVY0zokyT0jA8OkwVXMXsU3//G/Dfd5yTrSLKXia9ddCCYGPTd7HW5EbRF72nq2lIE1Ak132w/rp9LOmbieyJ6T9rPpQjpbnYuegwRERHpHpZtcaDmMGsqNlDZdAHTMJlZUMry4kXk+/oTPrGVwI7fQlsLjqKH8c79C8yc/HSXLSI9mNNp0qdPZsrztxXq368U6ouIiNy9yOUz+Nf9ELu1EffUJ3CXPolxG1fYn7lSzm+OvUpVSzX5vn58dMxTPNR3dDdULPeL6BDPsmJDzmQBbmzYG3ss5fObjnGbz7m9OVOOwe3PmXQt8cHmTcZPOQ6xYWxsOH2TmrjVmKn63fmYcn+JDsuSBaVm1LGEACoqZIs9b8T1v4Pxo8LQ+Dnbz8dcKRcV2hpJjkHSeW+0i15LdLjYMUZUCJckVLz13Il7lqrGZMFzx15Gh5WJfTr25toA8bUnDR1Tri35XPEBdcy4xI8RF+bGrzsqiDRvVbuCSRERERHpQWzb5kj9CdaWv8vpK+UYGEwd8DArhi2h0JFJ247fEj65HRxu3FMewz1hKYY7I91li0gPpFBfREREEoROvU9g088BA++i/41r5Mxb9mkJtfL66T+yrWonTsPBsuLFrChejMvhumXfZMGiFRccxjy3EttZSYPVqHGtG2Mkn8tqHzs+lI4eP3loeW38jiA2ur6YuW4E0VZiDe0hr3XzAPla3+RB7I1zCf2JW9vtjht3Lj7ATdizqFqkaySEj1FBoRkfzEX924wL1jrOdQSpycLH2HMpjseFombC8ZudS6zzWsgbv44Ufa6P3x4g36Tm6PXFB8bRwWqqNZG0b+r96WjfEdImvg6J+x59Va4ZXWN76Et7WHyzgD3+mMJSERERERGRrnWy4QxrKzZwtP4EABP7P8SK4kcoam4msOWX2FcvgcuHe/wjuCYux/TlpLliEelJFOqLiMgDIVnoGfPYjg1TLet6EGpFBb5WfICcPPCMPZ4YJEcHzDGhcIrw9Eb/2HA5ai4rLly2Y9eR9Hiq9Vg20wLbmBrcRbORyWrPY1w2BkTVkBiWR2ybUNY5Av0PgjOI2dIfx8WJGG3ZiXPGBePRAbrcmVThq2nePHw1o8LAxLA1WfvkgWzH8dhzyceNnTtpKHyzvty85luOwW3McZPazIS9vvcxkvZLsc72xyiUFREREREREbnfVVytZG3FRvbXHAJgTJ9RrChayPDaS4QOvI3VeBEcLlxjFuCetBIzW7flF5FbU6gvIpIGVnvYei3UjA5cLSs2FL4RtlpW8qA2dfuoK5BjHif2jQmyY4Ll2PA31fyxIXfyNcUHzdEBb7Iroa24wDn22M3nSBVAS6L2INY08BohPu7bwnjnOSoj/fmv4DJazMz2kNGMCzRN0yDiacTffz9hbx1GxE124yR8rcNwGAaG2RFkmmZimJkyBDYNjBu3ZjYT5006hhkXipodAXV08JsQKptGe+h76xrj5roe1N6YK6HdLULk+EDaTLIHtwqhRURERERERETk/lTVXM26io3surQPG5vi7CIWDJnFw60W9oE1WDVnwTBxjpyJe/IqHH2HpLtkEbmPKdQXkZSiA+GYEDo6PE5yFXN0MJxwVXJc6NxxdXTyce2EY3GB823NFRUGp5grOqCOJL16Oy4YTxEwJ1ztnbB/1x4/qKKDTNPsCGo7rjBOHhwnfRw1TvQVxh1hbuy47SGtmSSwTRIAx4wbN0dHrcmukk4Mbk3DwEg2RlxInPS8mTwAj6454UrrmDVG7bOZ2PYG62oN/rUvYDWcxzlqNt4Ff4nhdKd8LRvbrvDm6bXsqN6FgcH8wbNYNWI5Wa7Uf6kQERERERERERF50NS01rH+3HvsrN5DyAqR6cpgduF05jj6kX1kM5ELRwBwDJ2MZ8pjOAaOSnPFInI/UqgvvV5MsHo9hI1EBbyRqJA35vn1ADb2efT5qOA4/mrqqIC34zxJxkgRkN/O8YQ5O0LomPPxAfctx4q6EjvdL143uRF2XgtQO8LgG6FtQtBsxp2PC5zN+MA1ql18uNweIic8TjJufLjbHiqnHjfxeJJAPcW4CQF6qnpThchm7GPdNvr+Fb54nMD6H2MHmnHP+AjuSatSvlbBSIgNlVtYW7GBYCTI2D4lfKTkcQZlFXRz1SIiIiIiIiIiIj1Ha6iVHRd3sfnC+9T46zAwGN9vDHOzhjPy9EGs8j0AOArH4J78GI4hE/R5qoi0U6jfw7UHxFFBbSQqrI1YVtRjOyG0jg+EIwnHosdMEQRHB+XRQXJcgJ7Yh1vWFIkbK+ZcTEBOTJ/oMXvuOzi1G7eJjg97DcPAYcaGqQ4zNsy99jwxwHaYRkL4bCYEx7HhcMxVxMmC5yThd3tt1485zLhxkoyVOmhPFkJHh9mJ64i+WvnGMZEHWfDYJtq2/gocLnxLPo2zeErSdrZts7fmIH84tZr6QAP5vn48PeoxJvYfpx8uREREREREREREbpNlWxyvP8WmC9s5VHsUG5v+3r7M7TuOqRer8Jz6AOwIZr9i3JNX4Rw+DcM00122iKRZrw71j52pobklFBMYJzy2koTS8cFwe7icGJrH900WYMePayV9nhioJ601bh0999XpEBNQxwS98cF1RwAcE/pG9YkPsTv6E9s32ThG/PG4+ePGS2gffzw+iE6YM3lIHR16O2Lmjg3YRUTuhW1FaNvxW0KH1mNk98e34gspf29XZdMF/ufEG5y+chavw8uHhj/CoiFzcZrObq5aRERERERERESk96jzN7C1agfbq3bSHGrBaTqZ2ncss6+2UXj8A4gEMXIH4p70KK6SORgOV7pLFpE06dWh/hf+33ucvnAl3WUAxIbS0SFzfJB9/R9HdDAc9zw+nI4OwJMF1464x7FhcapAPT78JkmgnixoJ6HmxKCd9gBeV0qLiHQ/u60F/zv/SuTCYRyFY/Au+xtMb3ZCuyttTbx5Zg07Lu4CYO6gGTw2YgXZ7qzuLllERERERERERKTXCllh9l4+wJYL73PmSgUAQzMLmRPxMf7kAVxtrRgZebgfXonroUUYLm+aKxaR7tarQ/3XN56koSmQMuSODqMTrvI2aQ+lHaaJERdqxwflNw3RDf0eaRERuT9YjRdpXfsC9pVqXGMX4pn7FxiO2CvuQ5EQG89vZW35BgKRNkbnjeSZ0U8wOKswTVWLiIiIiIiIiIg8GCqbqthyYTsfVO8laIXIcPqY6ezP9IrT9G1qBE8m7vFLcU9YhuHVxTciD4peHeo3NLQQDlvpLkNEROS+ED5/CP87/wKhNjyzP45r/NKYL53Zts3+mkO8emo1dYF6+nv78nTJYzzcf7y+nCYiIiIiIiIiItKNWkN+yqp3s/nCdi631mJgMNbTn5mXahhdexnT6cY1dhHuh1dgZvVLd7ki0sUU6ouIiPRytm0TOrSeth2/AZcP39L/g3PIhJg255uqeOXkG5xsPIPX4WHlsEdYVDQPl+lMMaqIiIiIiIiIiIh0Ndu2Od5wis0X3udAzWFsbPo6MpjZ1EZpdTVZmDhHzcEz+VHMPN1pU6S3UqgvIiLSi9mRMG3bfkXo2GbM3AJ8K76AmVfQfr4p2MybZ9awveoDAGYXTufxkSvIcWenq2QRERERERERERFJoiHQyNaqMrZVldEUbMaByaSQg1nVlyhqi+AaXop78mM48oelu1QR6WQK9UVERHopy3+VwPofE6k+gWPIBHyPfBbDc+0P/ZAVZtP5bbx99l0CkQCj8obzTMkTFGUPTnPVIiIiIiIiIiIicjNhK8y+mkNsPr+d01fKARhsOZlVU8+k5gC+QeNxT16FY9BD+rWaIr2EQn0REZFeKFJXiX/tD7Cb63BNXIFn5p9imA5s2+ZA7RFePfUWtf46+nn78NSox5icP0F/wRcREREREREREelhLjRfZPOF99lZvYdgJIgPk9LGZmZd8TMgrxj3lFU4i6dgGGa6SxWRe6BQX0REpJcJle8hsOGnYIXxznsO19gFwLW/4P/+5JscbziFx+FmRfESlhTNx+VwpbliERERERERERERuRf+sJ+y6j1sPv8+l1ovA1DSGmJ2Ywvj3P3wTl6Fc9QsDNOZ5kpF5G4o1BcREeklbNsmuO8tgh/8HsObjXf53+IsGE1TsJm3zq5j24UyAGYWlvLEiJXkenLSXLGIiIiIiIiIiIh0Jtu2Odl4mk3n3+dAzSEsbPLCFjOvtDIj4qPvhJW4xi7AcHrSXaqI3AGF+iIiIr2AHQ4S2PwfhE/twOxbhG/F32Fl5rHp/HbeLn8HfzjAyNxhPFPyBENzhqS7XBEREREREREREelijW1X2HqhjG0XdnA11IzDtpnY3MZsv8GokiV4JizF8KQOCUXk/qFQX0REpIezWhrwr/shVs1ZnMOm4ln0Vxy+epZXT73F5dZa+nr78OTIR5k64GEMw0h3uSIiIiIiIiIiItKNIlaEfTWH2Hx+G6eulANQ2BZidnOYaUNmkz3pUcyMvPQWKSI3pVBfRESkB4tcPoN/3Q+xWxtxT3mcuofm8Oqp1RytP4Hb4WZF8WKWFC3A7XClu1QRERERERERERFJs6rmajaf38bOi7tosyN4IxalzUHm9R3PkClPYeYMSHeJIpKEQn0REZEeKnRqB4FNPwcgMu/PWUsDW6t2YNkWMwtKeWLkSvI8uWmuUkRERERERERERO43gXCAsurdbD67kerQVQBGtQaZ6xvC5EnP4O4/LL0FikgMhfoiIiI9jG1bBD94leC+t7Ay8tg1dRFv1+7FH/YzIreYZ0qeoDinKN1lioiIiIiIiIiIyH3Otm1ONpxh8+m17L9ajmVAbijCLCOXeQ89Qd+iyekuUURQqC8iItKj2KEAgQ0/JVyxlxOFRazul8WlQB19PHk8OfJDlA6cjGEY6S5TREREREREREREepjGtitsPbmObZf2cNWI4LBtJobdLBi2kJKSpZimme4SRR5YCvVFRER6CKupBv/aH1LdVMUfi4dwDD9u08Wy4kUsHboQt8Od7hJFRERERERERESkh4tYEfZXbGPT2Q2cohWAgrDB/PxJzBr/JF53RporFHnwKNQXERHpAcIXj1P/zo9Zn2mzIy8DC5g+cAofHvkh+njz0l2eiIiIiIiIiIiI9EJVNSfYdOR1Pghdps008Fg207OKWTTuSQpzhqS7PJEHhkJ9ERGR+5z/6EY2H3yFd/r4aHWYDMsZyjMljzM8tzjdpYmIiIiIiIiIiMgDINBSz/v7X2br1VNUu6/dhn+UM4+Fo1YwqWAyDtOR5gpFejeF+iIiIvcp24pwYNvPeK35BJc9TnJdmTxZ8jjTBk7GNPT7q0RERERERERERKR7WUE/Jw6+webqDzjkNYgYBjmGi3mDZzOveAG5npx0lyjSKynUFxERuQ9VN1Twyq6fcdQRxGnD0qL5LB+5Ao/Dne7SRERERERERERE5AFnR0LUH9vI1jPvUuYOc8XlwAQm9RnDwmGLGJU3AsMw0l2mSK+hUF9EROQ+0hpq5Y/H32DTpT1YBkwxcnhqxmfol9k/3aWJiIiIiIiIiIiIxLAti7azH7D/yJtsN5o5lXHtoqRCbz8WDJ3PjIKpeJ3eNFcp0vMp1BcREbkPRKwI26p28tapP9JitTEkEOLpwjmMnvyMvtEqIiIiIiIiIiIi9zXbtolcOMz5/W+wva2K3dleAg4Tj+liZuE05g+ezaCsgnSXKdJjKdQXERFJs2P1GqJ5pgAAIABJREFUJ3nl5JtcbKkmOxxh5ZUQc2b9Fe6iiekuTUREREREREREROSORC6domnfm+xuOM77uT4uelwAjMobwYLBs5mcPwGH6UhzlSI9i0J9ERGRNLncWsOrp1ZzsPYITgzm1zezOJJFnxVfxMzTt1ZFRERERERERESk54rUX6Bt32rOnN/F+7leDmZ5iRiQ485m7qCZzC6cRj9f33SXKdIjKNQXERHpZv6wn7fL3+W9ym1E7AiTwi5Wnr9I/4Jx+B75LIYn9R/MIiIiIiIiIiIiIj2J1VRL8MDbNJzYwgdZTsrysmi8fqF+Sd4IZhaUMmXARLxOb3oLFbmPKdQXERHpJpZtsb1qJ2+eWUtzqIUhvnweu3CJYfW1uCYsxzProxi67ZSIiIiIiIiIiIj0Qpb/KqGD6wgceZcTzgh78rI4kuEijI3bdDEpfyKzCksZ3WckpmGmu1yR+4pCfRERkW5wouE0r5x8gwvNF8lxZ7MqdxwTd63HjITwzPsE7rEL012iiIiIiIiIiIiISJezg35CxzYRPPwOLS11HMz2sSe/HxW0AZDnyWVGwVRmFZQyMHNAmqsVuT8o1BcREelCtf46Xj21mv01h3CaTpYMmc+iq22Yu17H8GbhXfY3OAvHpLtMERERERERERERkW5lWxbhir2EDq0jcvE4NS4HewsGsSfDpDHiB2B4zlBmFpZSOmASGa6MNFcskj4K9UVERLqAPxxgbfkGNlZuIWxHmJw/kSeHLSPrg9cIn9qB2XcIvhV/h5mdn+5SRURERERERERERNIqUltB8NB6wqd2YFlhzvbpx97CQRwI1xO0QjhNJxP7j2NWQSkP9R2NQ7/GVB4wCvVFREQ6kWVb7Li4izfOrKEp2MzgrEL+pOQJRrr74l/3Q6yasziLp+Bd8mkMlzfd5YqIiIiIiIiIiIjcNyz/VUJHNxI6vAHbf4U2p5sjI8ex22dyqvk8ANnuLKYPnMKswmkMzipMc8Ui3UOhvoiISCc52XCG3598g8rmKrJdWTw+cgWzC6dj11bgX/sCdmsj7imP4572FIZhprtcERERERERERERkfuSHQkTPrOT4KH1WDVnAbgyZCz7Bw1hp/8Ctf46AIZkDWJmYSnTB04h252VzpJFupRCfRERkXtU66/ntVOr2VtzEKfhYHHRfFYMW4LP6SV0uozAe/8OgHfhp3CNmp3makVERERERERERER6Btu2sS6dunZr/rO7wLYgdyAXSqax22uxp+YwgUgA0zAZ328MMwumMaH/Q7hMZ7pLF+lUCvVFRETuUiAcYG3FRjZUbiFshZmUP4GnRq4iP6Mftm0R3PUHgnvfxMjIw7f88zgGjEh3ySIiIiIiIiIiIiI9ktVcR+jwuwSPbYK2FnD5YMw8jg0qYmfjSY7Wn8DGJtOZQenAycwqLGVo9hAMw0h36SL3TKG+iIjIHbJsi7LqPbxx+m2uBpsYnFXIR0Y9zpi+owCwQwECG39GuHw3Zv5wfMs/j5nZJ81Vi4iIiIiIiIiIiPR8driN0Mn3CR1ah9VQBYaBs3gKrWPmsdu+QtmlPVS3XAKgIGMAMwtLmVEwlTxPbporF7l7CvVFRERuU8SKsOfyAdZVbKSqpZosVyaPjVjB3EEzMA0TAKupFv/aF7DqK3GOnIV34acwnO40Vy4iIiIiIiIiIiLSu9i2TeTCYYKH1hM5tx8As18RrvHLqBpYxM6a/eyq3kdLuBUDg7F9S5hZUMqk/PG4HfrMVnoWhfoiIiK3EIqE2FG9m3cq3qM2UI/H4WbB4DksL15MhsvX3i5cfYLAuh9hB5pwT38G9+RVurWTiIiIiIiIiIiISBezGqsJHl5P6PhWCLdheLNxjVuMMXYhR/wXKbu4m0N1R7FsC6/Dw9QBDzOzcBojc4fpM1zpERTqi4iIpBAIB9haVcaGc5u5Emwi05nBoqK5LBwyl0xXRkzb0LHNBLb+Ekwn3iV/jWtYaZqqFhEREREREREREXkw2cFWQse2EDy8HrupFkwHzhEzcE9YRmveAHZd2kdZ9W4qmy4A0N/blxmFpcwsKKW/r2+aqxdJTaG+iIhInOZQC5sqt/He+W20hv3kunNYOnQBcwbNxOv0xLS1rQhtZS8TOrgWI6sfvhVfwNGvKE2Vi4iIiIiIiIiIiIhtWYTP7SV0cD2Ri8cAMAeOwj1hOc7hpVS1Xqbs4m52XtpDU7AZgJK8EcwsKGXKgIl4nd50li+SQKG+iIjIdY1tV3j33Ga2VpURjATp7+vH8qGLmFFYist0JrS321rwv/sikfOHcBSMxrvsbzB9OWmoXERERERERERERESSidSdI3hwPeHT70MkjJHZF9f4JbjHLsJy+zhaf4Ky6t0cqD1C2ArjNl1Myp/IrMJSRvcZiWmY6V6CiEJ9ERGRy621vHPuPcou7iZsRxiUWcCKYUuYkj8Rh+lI2se6Uo1/zQ+wrlTjGrsAz9xPYDgSg38RERERERERERERST/Lf5XQ0fcIHdmA3doIDjeukjm4JizD0XcwraFWdl8+QNnF3Zy9WgFAnieXGQVTmVVQysDMAWlegTzIFOqLiMgD60LzRdZVbGT3pf3Y2AzPKWbFsMVM6PcQhmGk7BeuPIj/3Rch5Mcz+89wjV960/YiIiIiIiIiIiIicn+wI2HCZ3YSPLQeq+YsAI7B43FPXIaj6GEMw+RSaw07L+6mrHoPDW2NAAzLGcrMglKmDZxEhisjnUuQB1CnhfpXr17lq1/9Kps3byYrK4vPfOYzPPvss0nbvvbaa7z44otcvnyZcePG8Y1vfIMRI0YAUFZWxnPPPYfP52tv/+lPf5rPfOYzd7IuQKG+iIgkd+ZKBWvLN3Co7igAD/UdzYrixYzKG3HTcN6OhGjb+Qqhg2vB7cO39HM4h0zorrJFREREREREREREpJPYto11+TTBg+sIn90FtoWROxD3+KW4Rs/DcPuwbIuTDWfYUb2LfZcPErRCOA0HE/uPY2ZhKeP6jkl5t1eRztRpof7zzz9PIBDg29/+NufOneMv//IveeGFF5g1a1ZMu127dvG5z32Ol156iZKSEl588UXeeustVq9ejdPppKysjC996Uts27bt3laGQn0REelg2zbH6k+ytmIDJxvPYGAwKX8CK4oXMzRnyC37RxqrCLz7E6y6c5gDR+Fb/GnMnPxuqFxEREREREREREREupLVXEfoyAaCR9+DthZw+XCNXYB7/COYOdduux8IB9hbc4iyi7s42XgGgGxXFtMLpjCrcBqDswrTuALp7Tol1G9tbWXGjBm89tprjBo1CoBvf/vb1NXV8b3vfS+m7Xe+8x2am5v5xje+AUA4HGby5Mn8+7//O7NmzerUUL+xUaG+iMiDzrIt9tccZm35Bs41XcA0TGYUTGV58SIKbuN3INm2TejYJgLb/xsiIdxTn8Az9QkMfftSREREREREREREpFexQ22ETr5P8NA6rIYqwMA5bDLuictxFI5tv9Nrnb+esuo9lF3cTY2/DoAhWYOYVVjK9IIpZLuz0rgK6Y2cTpO8vNShvvN2BikvLwdoD/QBxo4dy0svvZTQ1rZtor8ncOPx8ePH26/qb2xsZO7cubjdbubPn8+XvvQl8vLybqeUGDdbmIiI9G5hK8LWip28fnQdF5qqcTlcrBy1iMfHLiU/s99tjRHxN1Gz+icEjpfhzOnPgCe/gLfooS6uXERERERERERERETSIxsKH8ee/xj+8gNc3bma1lO7CZfvxT2gmJzpq8iaMJ/+/YsZU1TMX9hPcrz2DJvKd7C9chevnHyTP5xazeTC8SwcNovSQRNxOVzpXpQ8AG4r1G9tbSUzMzZAz8nJoaWlJaHtwoUL+fznP89HP/pRxowZw7/8y78QDocJBAIAjBgxgtdee42RI0dy+fJlvva1r/EP//AP/OQnP7nj4nWlvojIgycYCbG9aifvnNtEfaARr8PLiuLFLC6aR44nG/xQ62+65TjhqqP4N/wbdksDzhEz8C14jmZPJs21t+4rIiIiIiIiIiIiIj1c9gicj/wtmdOqCR16h+DxrdSu/lfq3v01rnGLcI9bgpnZh/7GAD4y/AkeH/ohDtQcZkf1bvZUHWJ31UEynRmUDpzErMJSinOK2q/0F7lTnXKlfkZGRkKA39TUlBD0A8yePZsvfvGLPP/88zQ2NvLUU08xatQoBg4cCEB+fj75+dd+R3FBQQFf/epXWb58OX6/H5/Pd9sLA7Dta/+IiEjv5w/72XJ+Bxsqt9AUaibLlckTI1ayYMhsfM5rf37czp8JthUmuOs1gvtWg9ONd+H/wjl6HhiG/kwRERERERERERERecCYOQV45vw57mlPEzq+heChdwjueZPg3j/iHDkd94TlOAaMwGW6KB04mdKBk2lsu8IH1Xspq97N5gvvs/nC+xRkDGBmQSkzCqeS58lN97Kkh7lVPmHY9q0jjNbWVmbMmMHrr7/OyJEjAfjOd75DbW0t3/ve927a98qVKyxatIjf//73jBgxIuH8hQsXeOSRR9izZw8ZGRm3KiVGQ4Ou1BcR6e2ags1srNzKpvPbCUQC9PHksXToQuYMmo7b4b6jsawrl/Bv+AlWzVnM/OH4lnwaM7egiyoXERERERERERERkZ7GtizC5/YROrSeSNVRAMyBo3BPWIZzeCmG2XHNtG3bnGs6T1n1bnZd2kdLqBUDgzF9RjGrcBqT8sff8efY8mByOk369El9pf5thfoAX/7ylwmFQnzrW9/i/PnzPPfcc/zgBz9g9uzZMe2CwSBnzpxh9OjR1NfX83//7//F5/Px3e9+F4AdO3ZQVFTEoEGDqK2t5Wtf+xrBYJCf//znd7w4hfoiIr1XfaCBd85tZnvVTkJWiIEZ+SwrXsz0gZNxmrd1o5l2tm0TPrmNwLb/hFAb7smP4i59CsNxZ+OIiIiIiIiIiIiIyIMjUldJ6NA6Qqfeh0gYI7MvrvFLcI9dhOHNimkbtsIcqjtG2cXdHKo7imVbeB0epg54mJmF0xiZO0y355eUOi3Uv3r1Kv/4j//Ili1byMzM5LOf/SzPPvssAFOmTOFnP/sZ06ZNo7m5mWeffZZz587h8XhYtWoVf//3f4/X6wXgF7/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      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_germany.plot_R(ax=ax) # , plot_start_date='2020-03-10'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# --------------------------------------------------------------------------------------------------------------------------------\n",
    "\n",
    "\n",
    "\n",
    "# --------------------------------------------------------------------------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>death</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_recovered</th>\n",
       "      <th>new_death</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-29</th>\n",
       "      <td>50944</td>\n",
       "      <td>47265</td>\n",
       "      <td>2622</td>\n",
       "      <td>81</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30</th>\n",
       "      <td>51007</td>\n",
       "      <td>47265</td>\n",
       "      <td>2622</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>51114</td>\n",
       "      <td>47265</td>\n",
       "      <td>2622</td>\n",
       "      <td>107</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-01</th>\n",
       "      <td>51154</td>\n",
       "      <td>47265</td>\n",
       "      <td>2622</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-02</th>\n",
       "      <td>51155</td>\n",
       "      <td>47265</td>\n",
       "      <td>2622</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            confirmed  recovered  death  new_confirmed  new_recovered  new_death\n",
       "index                                                                           \n",
       "2020-07-29      50944      47265   2622             81              0          0\n",
       "2020-07-30      51007      47265   2622             63              0          0\n",
       "2020-07-31      51114      47265   2622            107              0          0\n",
       "2020-08-01      51154      47265   2622             40              0          0\n",
       "2020-08-02      51155      47265   2622              1              0          0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = covid19.get_rki_df(state='Bayern')\n",
    "cbr_bavaria = covid19.CasesByRegion('Bavaria', df=df)\n",
    "cbr_bavaria.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "einwohner_deutschland = 83019213.0\n",
    "einwohner_bayern      = 13076721.0\n",
    "prozent_bayern        = einwohner_bayern / einwohner_deutschland\n",
    "\n",
    "bavaria_new_confirmed_threshold = (100.0 * prozent_bayern) // 1 + 1\n",
    "bavaria_new_confirmed_threshold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " /home/local/cs/workspaces/covid-19-data-analysis/covid19.py:1526: UserWarning:Exception in curve_fit: Optimal parameters not found: Number of calls to function has reached maxfev = 600./ None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sigmoid+asymmetric+linear: seor: 80.69203984179356; growth-rate: 0.001, date:2020-09-10 00:00:00, projected value: 58.88780206634304\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2560x640 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_bavaria.fit(first_date=pd.to_datetime('2020-03-09'), new_confirmed_threshold=bavaria_new_confirmed_threshold)\n",
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_bavaria.plot_with_fits(ax=ax, restriction_start_date=datetime.datetime(2020, 3, 22))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>fit_R</th>\n",
       "      <th>gp_R</th>\n",
       "      <th>kf_R</th>\n",
       "      <th>ll_R</th>\n",
       "      <th>mean_R</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>0.999</td>\n",
       "      <td>0.985</td>\n",
       "      <td>0.928</td>\n",
       "      <td>1.093</td>\n",
       "      <td>1.025</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            fit_R   gp_R   kf_R   ll_R  mean_R\n",
       "index                                         \n",
       "2020-07-31  0.999  0.985  0.928  1.093   1.025"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cbr_bavaria.calculate_R_estimates()\n",
    "cbr_bavaria.R().round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f57281989b0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_bavaria.plot_R(ax=ax) # , plot_start_date='2020-03-10'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>death</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_recovered</th>\n",
       "      <th>new_death</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-29</th>\n",
       "      <td>48748</td>\n",
       "      <td>44540</td>\n",
       "      <td>1738</td>\n",
       "      <td>250</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30</th>\n",
       "      <td>48976</td>\n",
       "      <td>44540</td>\n",
       "      <td>1738</td>\n",
       "      <td>228</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>49217</td>\n",
       "      <td>44540</td>\n",
       "      <td>1738</td>\n",
       "      <td>241</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-01</th>\n",
       "      <td>49363</td>\n",
       "      <td>44540</td>\n",
       "      <td>1738</td>\n",
       "      <td>146</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-02</th>\n",
       "      <td>49434</td>\n",
       "      <td>44540</td>\n",
       "      <td>1738</td>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            confirmed  recovered  death  new_confirmed  new_recovered  new_death\n",
       "index                                                                           \n",
       "2020-07-29      48748      44540   1738            250              0          1\n",
       "2020-07-30      48976      44540   1738            228              0          0\n",
       "2020-07-31      49217      44540   1738            241              0          0\n",
       "2020-08-01      49363      44540   1738            146              0          0\n",
       "2020-08-02      49434      44540   1738             71              0          0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = covid19.get_rki_df(state='Nordrhein-Westfalen')\n",
    "cbr_nrw = covid19.CasesByRegion('NRW', df=df)\n",
    "cbr_nrw.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22.0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "einwohner_nrw      = 17932651.0\n",
    "prozent_nrw        = einwohner_nrw / einwohner_deutschland\n",
    "\n",
    "nrw_new_confirmed_threshold = (100.0 * prozent_nrw) // 1 + 1\n",
    "nrw_new_confirmed_threshold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " /home/local/cs/workspaces/covid-19-data-analysis/covid19.py:1526: UserWarning:Exception in curve_fit: Optimal parameters not found: Number of calls to function has reached maxfev = 600./ None\n",
      " /home/local/cs/workspaces/covid-19-data-analysis/covid19.py:1505: UserWarning:Exception in curve_fit 1\n",
      " /home/local/cs/workspaces/covid-19-data-analysis/covid19.py:1526: UserWarning:Exception in curve_fit: Optimal parameters not found: Number of calls to function has reached maxfev = 800./ [76940.460289       0.04298913    -0.10060466]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sigmoid+asymmetric+linear: seor: 93.32008759982396; growth-rate: 0.003, date:2020-09-10 00:00:00, projected value: 155.4332754077275\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 2560x640 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_nrw.fit(first_date=pd.to_datetime('2020-03-09'), new_confirmed_threshold=nrw_new_confirmed_threshold)\n",
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_nrw.plot_with_fits(ax=ax, restriction_start_date=datetime.datetime(2020, 3, 22))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>fit_R</th>\n",
       "      <th>gp_R</th>\n",
       "      <th>kf_R</th>\n",
       "      <th>ll_R</th>\n",
       "      <th>mean_R</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.945</td>\n",
       "      <td>0.921</td>\n",
       "      <td>1.007</td>\n",
       "      <td>0.984</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            fit_R   gp_R   kf_R   ll_R  mean_R\n",
       "index                                         \n",
       "2020-07-31    1.0  0.945  0.921  1.007   0.984"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cbr_nrw.calculate_R_estimates()\n",
    "cbr_nrw.R().round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5718648518>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_nrw.plot_R(ax=ax) # , plot_start_date='2020-03-10'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Schleswig-Holstein', 'Hamburg', 'Niedersachsen', 'Bremen', 'Nordrhein-Westfalen', 'Hessen', 'Rheinland-Pfalz', 'Baden-Württemberg', 'Bayern', 'Saarland', 'Berlin', 'Brandenburg', 'Mecklenburg-Vorpommern', 'Sachsen', 'Sachsen-Anhalt', 'Thüringen'], dtype=object)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "covid19.rki_data_df.Bundesland.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>death</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_recovered</th>\n",
       "      <th>new_death</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-29</th>\n",
       "      <td>37218</td>\n",
       "      <td>34616</td>\n",
       "      <td>1847</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30</th>\n",
       "      <td>37272</td>\n",
       "      <td>34616</td>\n",
       "      <td>1847</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>37272</td>\n",
       "      <td>34616</td>\n",
       "      <td>1847</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-01</th>\n",
       "      <td>37272</td>\n",
       "      <td>34616</td>\n",
       "      <td>1847</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-02</th>\n",
       "      <td>37272</td>\n",
       "      <td>34616</td>\n",
       "      <td>1847</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            confirmed  recovered  death  new_confirmed  new_recovered  new_death\n",
       "index                                                                           \n",
       "2020-07-29      37218      34616   1847             62              0          0\n",
       "2020-07-30      37272      34616   1847             54              0          0\n",
       "2020-07-31      37272      34616   1847              0              0          0\n",
       "2020-08-01      37272      34616   1847              0              0          0\n",
       "2020-08-02      37272      34616   1847              0              0          0"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = covid19.get_rki_df(state='Baden-W')\n",
    "cbr_bw = covid19.CasesByRegion('BW', df=df)\n",
    "cbr_bw.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14.0"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "einwohner_bw      = 11069533.0\n",
    "prozent_bw        = einwohner_bw / einwohner_deutschland\n",
    "\n",
    "bw_new_confirmed_threshold = (100.0 * prozent_bw) // 1 + 1\n",
    "bw_new_confirmed_threshold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " /home/local/cs/workspaces/covid-19-data-analysis/covid19.py:1526: UserWarning:Exception in curve_fit: Optimal parameters not found: Number of calls to function has reached maxfev = 600./ None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sigmoid+asymmetric+linear: seor: 60.543649370739864; growth-rate: 0.001, date:2020-09-10 00:00:00, projected value: 27.28878641816627\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2560x640 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_bw.fit(first_date=pd.to_datetime('2020-03-09'), new_confirmed_threshold=bw_new_confirmed_threshold)\n",
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_bw.plot_with_fits(ax=ax, restriction_start_date=datetime.datetime(2020, 3, 22))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>fit_R</th>\n",
       "      <th>gp_R</th>\n",
       "      <th>kf_R</th>\n",
       "      <th>ll_R</th>\n",
       "      <th>mean_R</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>0.993</td>\n",
       "      <td>0.567</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.421</td>\n",
       "      <td>0.66</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            fit_R   gp_R  kf_R   ll_R  mean_R\n",
       "index                                        \n",
       "2020-07-31  0.993  0.567   0.0  0.421    0.66"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cbr_bw.calculate_R_estimates()\n",
    "cbr_bw.R().round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5718452390>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_bw.plot_R(ax=ax) # , plot_start_date='2020-03-10'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>death</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_recovered</th>\n",
       "      <th>new_death</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-29</th>\n",
       "      <td>1316</td>\n",
       "      <td>1224</td>\n",
       "      <td>88</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30</th>\n",
       "      <td>1316</td>\n",
       "      <td>1224</td>\n",
       "      <td>88</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>1316</td>\n",
       "      <td>1224</td>\n",
       "      <td>88</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-01</th>\n",
       "      <td>1316</td>\n",
       "      <td>1224</td>\n",
       "      <td>88</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-02</th>\n",
       "      <td>1316</td>\n",
       "      <td>1224</td>\n",
       "      <td>88</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            confirmed  recovered  death  new_confirmed  new_recovered  new_death\n",
       "index                                                                           \n",
       "2020-07-29       1316       1224     88              0              0          0\n",
       "2020-07-30       1316       1224     88              0              0          0\n",
       "2020-07-31       1316       1224     88              0              0          0\n",
       "2020-08-01       1316       1224     88              0              0          0\n",
       "2020-08-02       1316       1224     88              0              0          0"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = covid19.get_rki_df(county='LK Traunstein')\n",
    "cbr_traunstein = covid19.CasesByRegion('LK Traunstein', df=df)\n",
    "cbr_traunstein.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "tage_inzidenz = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://www.destatis.de/DE/Themen/Laender-Regionen/Regionales/Gemeindeverzeichnis/Administrativ/04-kreise.html\n",
    "einwohner_lk_traunstein = 177089\n",
    "einwohner_sk_regensburg = 152610\n",
    "einwohner_lk_regensburg = 193572"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 0.1, 0.8)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tage_inzidenz_lk_traunstein = cbr_traunstein.df['new_confirmed'][-tage_inzidenz:].sum() \n",
    "round(tage_inzidenz_lk_traunstein,1), round(tage_inzidenz_lk_traunstein / einwohner_lk_traunstein / tage_inzidenz  * 100000,1), round(tage_inzidenz_lk_traunstein / einwohner_lk_traunstein / tage_inzidenz  * 100000 * 7,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f57183764e0>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_traunstein.plot_daily_stats()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " /home/local/cs/workspaces/covid-19-data-analysis/covid19.py:1526: UserWarning:Exception in curve_fit: Optimal parameters not found: Number of calls to function has reached maxfev = 600./ None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sigmoid+asymmetric: seor: 4.889133887357203, max asymptotic: 1314.5034715455804; growth-rate: 0.0, date:2020-09-10 00:00:00, projected value: 0.006071546213641148\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2560x640 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_traunstein.fit(first_date=pd.to_datetime('2020-03-09'))\n",
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_traunstein.plot_with_fits(ax=ax, restriction_start_date=datetime.datetime(2020, 3, 22))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " /home/local/cs/local/install/anaconda3-2020.02-Linux-x86_64/envs/py36ds/lib/python3.6/site-packages/statsmodels/tsa/base/tsa_model.py:218: ValueWarning:A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.\n"
     ]
    },
    {
     "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>fit_R</th>\n",
       "      <th>gp_R</th>\n",
       "      <th>kf_R</th>\n",
       "      <th>ll_R</th>\n",
       "      <th>mean_R</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>0.611</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.535</td>\n",
       "      <td>0.382</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            fit_R  gp_R  kf_R   ll_R  mean_R\n",
       "index                                       \n",
       "2020-07-31  0.611   0.0   0.0  0.535   0.382"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cbr_traunstein.calculate_R_estimates()\n",
    "cbr_traunstein.R().round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f57180f6f98>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_traunstein.plot_R(ax=ax) # , plot_start_date='2020-03-10'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>death</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_recovered</th>\n",
       "      <th>new_death</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-29</th>\n",
       "      <td>731</td>\n",
       "      <td>716</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30</th>\n",
       "      <td>731</td>\n",
       "      <td>716</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>731</td>\n",
       "      <td>716</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-01</th>\n",
       "      <td>731</td>\n",
       "      <td>716</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-02</th>\n",
       "      <td>731</td>\n",
       "      <td>716</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            confirmed  recovered  death  new_confirmed  new_recovered  new_death\n",
       "index                                                                           \n",
       "2020-07-29        731        716     10              0              0          0\n",
       "2020-07-30        731        716     10              0              0          0\n",
       "2020-07-31        731        716     10              0              0          0\n",
       "2020-08-01        731        716     10              0              0          0\n",
       "2020-08-02        731        716     10              0              0          0"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = covid19.get_rki_df(county='SK Regensburg')\n",
    "cbr_sk_regensburg = covid19.CasesByRegion('SK Regensburg', df=df)\n",
    "cbr_sk_regensburg.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 0.1, 0.5)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tage_inzidenz_sk_regensburg = cbr_sk_regensburg.df['new_confirmed'][-tage_inzidenz:].sum()\n",
    "round(tage_inzidenz_sk_regensburg,1), round(tage_inzidenz_sk_regensburg / einwohner_sk_regensburg / tage_inzidenz * 100000, 1), round(tage_inzidenz_sk_regensburg / einwohner_sk_regensburg / tage_inzidenz * 100000 * 7, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f571802cd30>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_sk_regensburg.plot_daily_stats()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>death</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_recovered</th>\n",
       "      <th>new_death</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-29</th>\n",
       "      <td>501</td>\n",
       "      <td>482</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30</th>\n",
       "      <td>504</td>\n",
       "      <td>482</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>506</td>\n",
       "      <td>482</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-01</th>\n",
       "      <td>506</td>\n",
       "      <td>482</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-02</th>\n",
       "      <td>506</td>\n",
       "      <td>482</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            confirmed  recovered  death  new_confirmed  new_recovered  new_death\n",
       "index                                                                           \n",
       "2020-07-29        501        482     15              0              0          0\n",
       "2020-07-30        504        482     15              3              0          0\n",
       "2020-07-31        506        482     15              2              0          0\n",
       "2020-08-01        506        482     15              0              0          0\n",
       "2020-08-02        506        482     15              0              0          0"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = covid19.get_rki_df(county='LK Regensburg')\n",
    "cbr_lk_regensburg = covid19.CasesByRegion('LK Regensburg', df=df)\n",
    "cbr_lk_regensburg.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7, 0.4, 2.5)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tage_inzidenz_lk_regensburg = cbr_lk_regensburg.df['new_confirmed'][-tage_inzidenz:].sum()\n",
    "tage_inzidenz_lk_regensburg, round(tage_inzidenz_lk_regensburg / einwohner_lk_regensburg / tage_inzidenz * 100000, 1), round(tage_inzidenz_lk_regensburg / einwohner_lk_regensburg / tage_inzidenz * 100000 * 7, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5710737470>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_lk_regensburg.plot_daily_stats()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "# --------------------------------------------------------------------------------------------------------------------------------\n",
    "\n",
    "\n",
    "\n",
    "# --------------------------------------------------------------------------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "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>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>death</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_recovered</th>\n",
       "      <th>new_death</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-29</th>\n",
       "      <td>208280</td>\n",
       "      <td>193432</td>\n",
       "      <td>9135</td>\n",
       "      <td>900</td>\n",
       "      <td>34</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30</th>\n",
       "      <td>209112</td>\n",
       "      <td>193461</td>\n",
       "      <td>9144</td>\n",
       "      <td>832</td>\n",
       "      <td>29</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>209851</td>\n",
       "      <td>193481</td>\n",
       "      <td>9147</td>\n",
       "      <td>739</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-01</th>\n",
       "      <td>210280</td>\n",
       "      <td>193482</td>\n",
       "      <td>9154</td>\n",
       "      <td>429</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-02</th>\n",
       "      <td>210395</td>\n",
       "      <td>193483</td>\n",
       "      <td>9154</td>\n",
       "      <td>115</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            confirmed  recovered  death  new_confirmed  new_recovered  new_death\n",
       "index                                                                           \n",
       "2020-07-29     208280     193432   9135            900             34          4\n",
       "2020-07-30     209112     193461   9144            832             29          9\n",
       "2020-07-31     209851     193481   9147            739             20          3\n",
       "2020-08-01     210280     193482   9154            429              1          7\n",
       "2020-08-02     210395     193483   9154            115              1          0"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = covid19.get_rki_df(time_anchor_column_name='Meldedatum')\n",
    "cbr_germany2 = covid19.CasesByRegion('Germany', df=df)\n",
    "cbr_germany2.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f571058d320>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_germany2.plot_daily_stats(days=60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " /home/local/cs/workspaces/covid-19-data-analysis/covid19.py:1526: UserWarning:Exception in curve_fit: Optimal parameters not found: Number of calls to function has reached maxfev = 600./ None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sigmoid+asymmetric+linear: seor: 558.2499243693152; growth-rate: 0.002, date:2020-09-10 00:00:00, projected value: 454.5993090898291\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2560x640 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_germany2.fit(first_date=pd.to_datetime('2020-03-09'))\n",
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_germany2.plot_with_fits(ax=ax, restriction_start_date=datetime.datetime(2020, 3, 22))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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>fit_diff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5331.216342</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        fit_diff\n",
       "max  5331.216342"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cbr_germany2.fit_df0[['fit_diff']].apply(['max'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " /home/local/cs/local/install/anaconda3-2020.02-Linux-x86_64/envs/py36ds/lib/python3.6/site-packages/statsmodels/tsa/base/tsa_model.py:218: ValueWarning:A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.\n"
     ]
    },
    {
     "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>fit_R</th>\n",
       "      <th>gp_R</th>\n",
       "      <th>kf_R</th>\n",
       "      <th>ll_R</th>\n",
       "      <th>mean_R</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.108</td>\n",
       "      <td>0.977</td>\n",
       "      <td>1.113</td>\n",
       "      <td>1.074</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            fit_R   gp_R   kf_R   ll_R  mean_R\n",
       "index                                         \n",
       "2020-07-31    1.0  1.108  0.977  1.113   1.074"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cbr_germany2.calculate_R_estimates()\n",
    "cbr_germany2.R().round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5718139278>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_germany2.plot_R(ax=ax) # , plot_start_date='2020-03-10'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "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>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>death</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_recovered</th>\n",
       "      <th>new_death</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-29</th>\n",
       "      <td>208546</td>\n",
       "      <td>191279</td>\n",
       "      <td>9135</td>\n",
       "      <td>839</td>\n",
       "      <td>568</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30</th>\n",
       "      <td>209535</td>\n",
       "      <td>191551</td>\n",
       "      <td>9144</td>\n",
       "      <td>989</td>\n",
       "      <td>272</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>210399</td>\n",
       "      <td>191992</td>\n",
       "      <td>9147</td>\n",
       "      <td>864</td>\n",
       "      <td>441</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-01</th>\n",
       "      <td>211005</td>\n",
       "      <td>192636</td>\n",
       "      <td>9154</td>\n",
       "      <td>606</td>\n",
       "      <td>644</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-02</th>\n",
       "      <td>211220</td>\n",
       "      <td>192908</td>\n",
       "      <td>9154</td>\n",
       "      <td>215</td>\n",
       "      <td>272</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            confirmed  recovered  death  new_confirmed  new_recovered  new_death\n",
       "2020-07-29     208546     191279   9135            839            568          4\n",
       "2020-07-30     209535     191551   9144            989            272          9\n",
       "2020-07-31     210399     191992   9147            864            441          3\n",
       "2020-08-01     211005     192636   9154            606            644          7\n",
       "2020-08-02     211220     192908   9154            215            272          0"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cbr_germany3 = covid19.CasesByRegion('Germany')\n",
    "cbr_germany3.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f571847aef0>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_germany3.plot_daily_stats(days=60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " /home/local/cs/workspaces/covid-19-data-analysis/covid19.py:1526: UserWarning:Exception in curve_fit: Optimal parameters not found: Number of calls to function has reached maxfev = 600./ None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sigmoid+asymmetric+linear: seor: 528.5346737887775; growth-rate: 0.002, date:2020-09-10 00:00:00, projected value: 466.26140900032766\n"
     ]
    },
    {
     "data": {
      "image/png": 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z3ViMp+1a7l2sNe5Vg/omLvcutju00xat7R9PyS7REm5SCDftAYQrFpKoSHgDEA8S8bwdAABgOHD1NoK2Vzfp0We3qbXDryvOKta1F5WdVr/WGB7VtW26//FNCpmWLEtqaOnWBzsa5FZAX8ndrLnGdiktR95Lb9O5jrF64383KxA0NXdyvpaWl9JSBAAgacRCRcRwSnE5VVyQoeKCjAHDTdPSkdZuHW7q1OHGTtUe6ep5f6RDnurp8mjGgOmfdDn0as67Gp3j7f1LVUFuz/v8bO9Ju+SQ4mu7ugyXflrwUEJVBkVr+8dTsks0RJIUwk17AOGyO4mKhDcA8SLS83YSvgAAQLLgDGcEWJall9/br6dfq1KKy6Fbl52hs2cU2h1W0nu2Yo9CIUtWv2FjnM36Zs6byrOa5CyerdSLviGHN0slkkZlpUqS7lg525Z4AQCwi90VESPF4TCUn+NVfo5XsybmDRjX6ffp5doK7WioUUZHkdI7itTQ7FN9c5e27G5UyLQGTG9Iys5wKz/bq7zsVOVlpfa95ve+xtt2dRkuXZh2ScJU7Edr+8dTsks0RJIUkojJNgCiw+4kqmRPeAMQX8I9byfhCwAAJBPObqKsyxfUb1+o1KbKOo0ZlaZvrZytcfnpdoeV1CzLUuW+Jm3bfaRfQoSlRe5dujZ9o1ymKfei6+See6UMg5Y8AACwuyIiFqS5PVpefIlUPHhcyDTV1OpTXXOX6pu7el6butTQ0q3apk7tOtgy5DwzvCkqTPsbdabVKZjeLKV1KD8zXYWaq4ZAl3IyPAnfqpidT6ZF63cdb8kuwy3SpJBES7YBEB12J1Ele8IbgMREwhcAAEgmJEVEUU1jh36+eotqGju1YNpoff0LM+T1sMnt4g+EtOGTWr2yab8O1Hf0DXcroOvT39VZnt1qMtP0Tu5SfXHe522MFACA2GJ3RUSsczocfS1MDMUXCOlIa7caW7rV0NKtxqPvW7vV2FIo80iurN5MzS5J/6aPJPW0NpGV7lZupke5mR6NykxVTqZbORkeZae7lZXuVnaGR5neFDkcxsis7DCy+8m0aP2u4y2JaLgTU5I9KQRA9BLe7EyiomwDEAuGu3wl4SsyQSuois71qvFVqyhYwjUxAABxhqN2lGyqrNNvnv9U/kBI1188WZ87u1iGEX83q+NRdW2bnq3Yo/217SouzNDF88apsrpZb3x4UB3dQaW6nbps4XjNLM3V82vX6YveChU4W7XVP15PdZfrOyvK7V4FAABiDk9znz5PilNFeekqyhu6tbBgyFRLu19NbT4daetWU5uv971PTb2fq2vbdFwPHX0MQ8pKc/ckSmT0vGan9yROZPd+zuod5vU4Y+acNBaeTIvG7zqekoiikZgSb0khAIaX3Qlv0ULZBtjPzhbGYmX5w12+xkLCl93bNVyJenwDACCZcMQeZh3dAT21bpfe+rhGWWkpuuuaOZo+IdfusJJGdW2b7n98k0KmJcuSGlq69cGOBklSQa5Xy86fqPLZRUp1hOR77/9pUsYrMuXQy+Y5qik6T985f6JKCjNtXgsAAJBMXE6H8rJTlZedKil70PigFdQ9h+/S3tYaWZ1pSunOUmFgki53rFBbR1AtHX61dPjU0u7X4SOd8gfNEy4rxeXoTZo41tJEdrpbmWkpyvAO/MtMS1GKyxm19U7kJ9PiJYkoGokp8ZQUAsSCeKkMClcsJLxFA2UbYC+7K6TtXr4UnfLV7oSvWNiu4UrU4xsAAMkkts4u4tz72+v1xMvb1dLh18zSXP31VTOVm+mxO6yk8mzFnr6EiP7KxmXp77+yQA7DUPDgJ+pY/1tZbfVyFk5W+oVf1zU5Y+0JGAAAJJzhruCq6Fqv3cGd8qf5pbQj8knya5dy887U8uNuwFmWpW5/qCdRot3XmzDhV2uHXy3t/r4EiobWbu2paZN5/EnTcdwpDmV6U5TuTen36la616XMtN5Xr3tAMoU7xRFWaxSx8GRasotWYkq8JIUAdounyqBwkfAGIBLhnjfbXSEdzeWHuw2iUb7anfBl936NRCIf3wAASBbxeZUdY1raffrfv+zQpu31SvO49PUvzFD57DEx0zRxMtlb0zooIUKSWtr9MgJd6t7wBwUq10sutzzn3aiUmZfKcDhGPlAAAJCQolHBFckNOMMw5PW45PW4NGZU2knna5qW2rsCaunwq63Tr/auwLG/zoDau/u97wqorqlL3f7QKeNNcTmU4U1RemqK0lJdSvO4+l69A97P1ISu83TAqFLQ3SmHO6CJ6SUx2xR5oj3NLZGYAtgtniqDwkW5gliQiMfsRBTJebPdFdLRWn4k2yBa5audCV9279dIcHwDACD+cUXwGViWpbe3HtYfXt2pju6gFkwbra9cPlXZGbQOYYePdjWopd0/aLhhSOfl1Knjj9+X1dks57iZSr3ga3JkFdgQJQAASGTRqOCK1g04h8NQVm83GuEKhsyBiRNdJ/9rafSpszuokHmiFikWK1fHkiBaJd2ZUnEsceJoUkW/96lup1LdR1+Pvfcc99nlHL7E10R8mluyv8lkRE+yVwjGy/rHU2VQuChXYLdEPWYnokjOm+2ukI7W8iPZBolYvtq9XyORiNsfAIBkw9XAaWpo7tLvX9qubXuOKCvdrduXz9LC6VSy28GyLL20cb+efm2XPG6nAkFTptXThUaGo1vXpL2nM9v2yErxyrP4r5QybTGteAAAgKiIRgVXLN2AczkdysnwKOckScDHV0ael3qBzJBDnd1BdfqC6vIFe98H1NU7rNMXPPa+33T1TV3q9AUVCJqnEasxIHnC0z+ZIqX3vad3XIpT7pSjr45j710OeVKc2hzcoN3t1fK7gpLDTIinuSX7m0xGdCR7hWA8rX88VQaFi3IFdkvEFlgSVSTnzXafD0dr+ZFsg0QsX+3er5Hov/1rXNUqCpbE/fYHACDZcNSOkGlZWvf+Aa16Y7d8gZDOn12k6y+ZrAxvit2hJaVA0NTjL1aqYuthjctP153XzlG3L6i1b+1RRv1H+oLzbXmtLjlL5in1gq/KkZ5rd8gAACCBRaOCK55ugJ6sMjI306PczNNrUS0QNNXlC6qjO6Buf6j3Lyhf3/uez8e/9/X73NbZ811f4NRdgAwlT3dLkiwjJMsVkOUK6KkUv171vNuXVOF2OeRxO+V29SZXuJxyuRxKcTmU4ux97fd+yHG9n139hjsdRtSSeu1sMhnRkewVgvG0/vFUGRSJSMoVu1v1sHv5GH6J2AJLoorkvNnu8+FoLT/Sa4dEO2+ze79GymW4dFH6JcrPz1RDQ9uQXTgDAIDYFZtnGDHqUEOHfvdCpXYdbFF+dqq+9flZmjUxz+6wklZLu08/f2aLqg62am5Znr659Ax5PS6ZzTX6evqrCjV+JMOdIU/5rXKVLaJ1CAAARkgyVzBEq4IrXm6ARqsysidZILKuPk7EtKwByRK+QEjdvpD8QVP+QE/ShD9oyucPyR8MyR8wtadrnz5o/0hm0CEjlCJH0C1H0K00jVcgaKqjO9j7XVPBUOStWpyKYWiI5AmnXE6j33DnoKQLp9OQy+mQy2nI6Tju1emQy9Ez3tlveP/pB37/6LTHfY5iwgZOT7JXCMbT+sdCZZCdx2y7W/Wwe/mxImgFVdG5XjW+kz/5HC/nd4nYAkuiivS82e7z4WgsP1GT4yJh934FAADJI/auXmJQS4dff6rYq9c/PCjTtHTZwvFauXiSUt1sPrvsO9ymR1Z/rCOtPl25qETXXFgmw9+h7oo1CnzymmSF5Co7R57zviyHN8vucAEASBrJXsEQCxVcdoqHykiHYcjrccnrcUkKr+WKoDVB99YNvmH9rwVfHrRvQ6Ypf6AnwSIQMhUI9v6FTAWDAz8HhvgcPMHwnr+B8+zsDh2bb8hUIGDKjgfWnA6jJ4GiX8JFz7CeV4fRk0ThcJzgdYjxA6YxTvLdIcYPnMZxyuU7HYba/KZaWjplyJBhqGc+Ru97oyfxw+E49rlvnMOQw1DP+N5hdieJJHuFYLytv52VQXYfs+1u1cPu5ceCcH8Ddv9WIkElc/xI9vNmiW0AAAAwkjjDOokuX1AvbazWSxv3yxcIadLYLN1w6RRNHpd90u/FS/Z8PKmubdOzFXu0v7ZdmWkp2l/fLlnSLUtm6NwZ+QpsfUm+zWslf6ccBZOUeu6X5SyMzZteAAAkMioYkvtpp3irjAxXJDesnQ6HvB5Hb9LFyLIsSyHT6kuaCIZMhUyr5zVkKWj2voZMBU1Lob7hvcN6p++bpu/7PdMGQ5ZCpnnss3ls+NF5Hx0eDJoKWZZM01IgZKrbtGT2xmf2/oX6vYbMxGl/2JB6Eyh6EyZ6Eyf6kiv6hg1OqOj/vWPJGD3TGIbUZrWq2+pSmsOrbGe2HIajLxHDUG9ChjFKY/xfVYfVLkumDENKd2RoS2q+thlb5ejN2XAYhmSoLxHEOP79gHlKjt5x6o1twDxOOJ+j8+j5v6GW7egd1zuob137f/fo+/7x6uh81TOs939yabqKWy9WbfCwTIXkkEOFKWPkaZ+h94w6HU1ZOZa7cmzZ6reMY+/DmPbY5L1xGsc+98uR6Z8wYwzx3f7LHvi9fjH1X+9+y9GAuIxB6znUtO92bdCe5jqFjDQZshSStEd1eslar0Wp5/abYb/t3P/zKfJ/TpUg9GnrHpldqXLoaCtAlkw59GnzHs0zfYMWMOTcBsUYfgyVrbsV8rlkyNE3LGQY2t62W2c5Lhhyjqde56FCPHmQg2MePIfPEsPJlv9W53pV+Y47b/MNPm+Lp/M7KpnjSzKfNx+ViNuAe+MAACAWGZZF71eS1NraJZ+v56m2YMjU6x8c1HNv71VbZ0BjRqXpmgvLdObU/FNe1A+VPV/mnhKT2fPxorq2Tfc/vkkh0xrQV9tff2G6zs48JN+7f5TVWicjI0+es6+LWlcZ9/36XUnS/bcsGvZ5Y/gZhujjD0DSsrMMfKz5l/p/bX+QqWNdCDjk0LWZN+jrOd8c2WAw4jgXxmdhWoOTJQa8Hjd+4DRmzzBLA79nHRs35Pd65+n1utXW7pNpWrJkyTR7kkxMq+caxDT7vbesnnFmv/dW7/TmwPeWer57dJr+74/Of9Cyjn6337JCpqWWUItClqme5kAMOS2XvEaaLPVMa1nq97533pYlQwbnwwCGldXbLlFPIpBNrePEQM9Ntq17/xjsD+GErN7/jN7/oi02toX9QcTCdghY/r5yQur5t5JiuEd260RxYYZhKJwqlVgoI2IhBADJ62iSeM+1KkbapLFZ+rc7aS2tP+5M9mNaljZ+UqvV63eroaVbORluffXz03T+nCI5HY5Tz0DxlT0fL56t2KNQyBpQaJa4GlS46T/VHTwopaTKffa1cs+6Qobrs/czDQAATl+ithSA8PB0Jj4Lh2HI4TTkco7scuMhmfaNznV6sPGhAWWrW259N+/vwr7OtKzea6reZIu+YYMSKgYmV1jSsfe9r1LvPCz1pMAdHaeB0x3/3b7v9fu+NWQ8/b7bP65+69B3hdi33L41HbAfj8Z0bDsM/u6xj8d9d6hph9iefS/WsevWgfMJb9qhlmX1bZuhv3ts/Qeu47HFnXid9geqtbFzw3GJjE6d5V2k8a5i9XeqfxvHjx94BS8N9dGSqbc616vFbJZpWXLIoWxntsq9iwdVJA25+JMvYlBQx483LVMbut5Rm9kiU6YclkOZzmwtSj1XDmNwMtHg+R//sf8+sFQbqlVbqFWZziwVOAvlkDFoHoO368ljPtU6n6qS7vjR9aE6bfd9Oug3MNU9XaOdo/uW0RCs1w5/Ze90vS3FyKEp7ml90/VnylJjqEEdZrvSHRnKc+bLcYKauUimPdF624FnzHoMtRksWdrm26JOq6OnxSI5lG6k6wzP7NioJI6SWPhN2B+B1Bhq1B7/XvXv1M0hQ+Pck5XnzBuRGKK9K9xup/z+0MljiIW9EQMhAIDb7ZLfHzz1hBh240Zn2B1CzOHuZK+dB5r12HOfqLquXV6PS9deVKZLF4yXJyWyO3Lx0I9yPKlr6tS2PUf6zuGyjQ4tSftAZ3t2ywwYSpl5kdwLVsiRdvIuTQAAwMigH2ckYhPAgN2G4zqzfxcUp6pw/KxoNjs+BK1S3Vs3+Jh9V8G9I7a/brAm2/pbucmaOuzLj6dWk3piHfwb+IeCbw6I9UTT3VfwjUHrFMn6x9O2Qvje6FynVxsfH5DI1ya3bowgkQ/x67HmX+r9IVoOvCTzBn09J/73fzwk0wJArKDMtJfHhm5dYx1bpNf/vLhdhxo79flFJfrCOROU4U05rfnwdOTwaOv067mKvXrtg4MKmZayjE5dlPqJLkjdLrcR0qeBsdox+nJ95YKL7Q4VAAD0Q0sB8YWKSyA+xNN15lCVnGvcq6jkjEGxcMyOViJduMe3aCw/nloQ7f8bqHFVqyhYMuS2iuS3Esn6x9O2Qvhi4YExu89x7V5+tISzXvF0zgIAAJJL/J+NDZP5U0frtmVnaFRW6meaD09Hfja+QEivbNqv5zfsU5cvpLljLC3N2a6c2k1yGaYOBXO0tmuBdprjdd+FC+0OFwAADIGWAuIDFZdA/Iin60wqOeNLJMfseKnks/v4Fm8Vwi7DpYvSLznlU3zh/lYiWf9Y2FbxJF7+DdpdKW53GWD38qMl3PWKp3MWAACQXOL3TGyYrVg8ST7fZ+/XJhaetIgn1bVterZij/bXtist1aWmNp/aOgOamdOlGyZWKbv+Q6nOVDB3gtaF5qmiuUAlE7N0X3mpSgoz7Q4fAAAgblFxCdgvkqfZ7b7ODDdWKjmjw+7K0Hiq5LP7+BatCuFwfwN276tI1t/uyvNI2fnv0O79Ggm7K8XtLgPsXn60hLtesXDOAgAAMBTORqKApyPDU13bpvsf36RQyJIlSS1SibNBdxZXqbBju1QnOcfNlHveEjnHztAyw9Ayu4MGAABIEFRcxhe7K0Qx/CKt4LLzOjOSWOOtkjMexEJlaDxV8tl9fItGhXAkvwG791Uk62935XkkovXvMNzju937NRJ2V4rbXQbYvfxoiWS9uDcOAABiEXfRYJs/vLpTwZAlydJkV60u927R9JQaqUNyTZgv9/wlchaU2R0mAABAQqLiMn7EQoUoSRnDL54quCKJNZ4qOeNFLPxW4qmSz+7jWzQqhCP5Ddi9ryJZ/0i3lZ3Homj8O4zk+G73fo2UnZXidpcBdi8/WhJ1vQAAQPLgLhZGXEu7T8+8uVu7qhu1wL1PF6RWaqKrQaZlaJNvoja5Fujezy2xO0wAAICERsVl/LC7QjQWkjISUSxUcEWjSwy7nxBORLHwW4mnyrBYOL4Nd4VwJL+BWNhXkax/uNPafSyKZB9Eo/WHWNiv8SLSMmC4k21ioQyKhkRdLwAAkDy4K4ER4wuE9PLGam3a+LEWOCv1j7m7lWb4FLAcquieole7Z+mIlan5U0bbHSoAAEDCo+IyfthdIWp3UkasGO5KE7sruKLZJQbNZg8vu38rUnxVhiXi8S2S30A87atI2H0sCncfRKv1h0Tdr9EQSRkQjWSbRCyDpMRdLwAAkDw4awkTzcWePtOy9O7H+7WjYp3mWJ/oovQ6SVIoo1DP1hfrXd8kdZipMgzJ6TC0tLzU3oABAACSBBWX9gr3GiPSCtHhvnaxOykjFkSj0sTuCi66xIgfsbD9460yLNGOb5H8BuJtX4UrWseicI+Z4e6DaLX+EAv7NZ7ujYZbBkQr2SbRyqCjEnW9AABAcojNM9cYY3cTffGmurZNz1bs0f7adk1K79DU7o8109yuWS6/TMMl56Rz5Z55kZxjpmpxXbuaK/aqurZNJYWZWlpeqpLCTLtXAQAAAIiqSK4xIqkMi8a1Syw8pW53RUw0Kk3sruCiS4z4ESvbn8ow+0T6G0jEfRWNY1Ekx8xw90E0W3+Ixn4N9/iaqPdGSfwEAABIHvF71jqC7G6iL55U17bpgcff1hnOffqyZ5fKuntahWhx58mYf5myZlwgIzWjb/qSwkzdsXK2XeECAAAAtojkGiOSyrBoXLvY/ZR6LFTERKMvecneiku6xIiM3Yk5yb79wW8gGseiSI+Z4eyDeGr9IZLja6LeG42FxE8AAACMDJIiwkDW8KlZvg517HxPTe+s04+zDshlmApYDm30TdI7vinKmXiG7pg/x+4wAQAAgJgQ6TVGuJVh0bh2sbvSJtKKmGhUXkejL3m72Z3sEk/iab8ivtidbBNPonEsisYxMxZafwhXJMfXRL03yrEQAAAgeXClFQayhodmdbfLt+d9NW97W94jO+WQqQmWoR2BIn0YmKCP/SXqtDySpPy6dpujBQAAAGJHtK4xojVfOyttIm2lIRqV19HoS95udie7xJN42q+IHyTbRG64j0XROGbGStkaTsJNJMfXRL03Giv7C4mHpDcAAGIPR+IwkDXc0y3GsxV71FDboHOzDmmOa5/SW6rkkKlUy1BlYKxqM6frk9AE7WwOyrKOfdcwerrJAAAAANAjWtcYiXjtEklFTLQqr6PRl3wsSPbm+MMVb/sV8YFkG/tF65hpd9kabsJNJMfXRDy/OMru/YXEQ9IbAACxiaNwGJI5a9gyTR3asU3vvLyZawGGAAAZ20lEQVRO5zsPaaKrTs4OS0HLoU8DRdrrmarcmWfrrDkTtSgrVfNq23T/45sUMi1ZVk9ChNNhaGl5qd2rAgAAgDiWaE9bResaIxGvXSKpiIm08jpoBVXRuV41vmoVBUtOuq2Guy95xA/2K6KBZBv7JeIxUwo/4SaS42uibisgGkh6AwAgNnHmGqZoZA3bfWP3aOsP+2vbVVyYoWXlE1VSmCmzrV7BA9vUve9jhQ59qqxgl76QKvkslz4JjNNH/gnaGijWhOIC3ful+TIMo2+eJYWZuu/mhVpbsVfVtW0qKczU0vJSWooAAADAaUvUp62i9WRioj3xGElFTCSV19H4XSXyk7R2s/P6OdL9ave1PuIDyTaxIdGOmVL4CTeRJjok4rYCooGkNwAAYhNX5Tax+8Zudb8WHdyWX8GuHfrk4J/lzWpQqq9RkmRZ0sFQnrYHJqsyUKS9wdEKydk3j4aW7gEJEUeVFGbqjpWzo74OAAAASA48bYVwK2IiqbyOxu+KJ2mjw+7r50j2q92xIn6QRIVoiSThhkQHYPiR9AYAQGziitwmdt3YtSxLVlu9try6Tss9e1TqqtdYZ5OchiVJOtKZrs2Byap2lChl/ExNnjRO+z6t1e69R2T1m49hiNYfAAAAMCJ42grhiqTyOlq/KyqYhl8sJEaFu19jIVbEB5KoEC0k3AD24t8gAACxiSstm0Tzxm7/bjEmFri1bJqhPP8hdR3aIat+t1yBDi2WpFSp1UzVtsB4bQ8UaXtgrDrdubr3S2fq8oIMOXpbgSgpzFDl400KmZYsqychwukwtLS89DPFCQAAAISDp60QiXArr/ldxY94SoyKp1hhP5KoEA0k3AD24t8gAACxiSOxTaJxA87yd+rQrp169S9va4qjSZc56zW2oVmORqtnKZahg6FR2hssVnVotHYH8nXEzJDUk/xgGNL8klGDWoAoKczUfTcv1NqKvaqubVNJYaaWlpfSUgQAAABGBE9bIRr4XcWPeEpgiadYASQuEm4Ae/FvEACA2ENShE0ivQHXv/WHkoI0LZ+brkKjSYGGfeqq3Sc1HZDb16wsSdd6e77TYnq1JVCsPcHRqjEKNW7qTE0sztNZY7M1JxDS/Y9vkmGE1/pDSWGm7lg5OzobAwAAADgJnrZCNPT/XdW4qlUULOF3FaPiKYElnmIFAAAAACBZGJZlWXYHEQtaW7vk8wVPPeEwClrBk97YtfxdMltqVVe9V29WfKh8o1VjnM0a42xWimH2TReyDNWGsnUolKuDoVwdCuWqJpirFsuro61A5Gen6t9uO2/A8qtr22j9IQL3/fpdSdL9tyyyORKEwzCk/PxMNTS0iVIOQLKhDASA8FF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      "text/plain": [
       "<Figure size 2560x640 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_germany3.fit(first_date=pd.to_datetime('2020-03-09'))\n",
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_germany3.plot_with_fits(ax=ax, restriction_start_date=datetime.datetime(2020, 3, 22))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " /home/local/cs/local/install/anaconda3-2020.02-Linux-x86_64/envs/py36ds/lib/python3.6/site-packages/statsmodels/tsa/base/tsa_model.py:218: ValueWarning:A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.\n"
     ]
    },
    {
     "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>fit_R</th>\n",
       "      <th>gp_R</th>\n",
       "      <th>kf_R</th>\n",
       "      <th>ll_R</th>\n",
       "      <th>mean_R</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-31</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.325</td>\n",
       "      <td>1.321</td>\n",
       "      <td>1.294</td>\n",
       "      <td>1.207</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            fit_R   gp_R   kf_R   ll_R  mean_R\n",
       "2020-07-31    1.0  1.325  1.321  1.294   1.207"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cbr_germany3.calculate_R_estimates()\n",
    "cbr_germany3.R().round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f57280de358>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_germany3.plot_R(ax=ax) # , plot_start_date='2020-03-10'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "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>Datum des Erkrankungsbeginns</th>\n",
       "      <th>Punktschätzer der Anzahl Neuerkrankungen (ohne Glättung)</th>\n",
       "      <th>Untere Grenze des 95%-Prädiktionsintervalls der Anzahl Neuerkrankungen (ohne Glä</th>\n",
       "      <th>Obere Grenze des 95%-Prädiktionsintervalls der Anzahl Neuerkrankungen (ohne Glät</th>\n",
       "      <th>Punktschätzer der Anzahl Neuerkrankungen</th>\n",
       "      <th>Untere Grenze des 95%-Prädiktionsintervalls der Anzahl Neuerkrankungen</th>\n",
       "      <th>Obere Grenze des 95%-Prädiktionsintervalls der Anzahl Neuerkrankungen</th>\n",
       "      <th>Punktschätzer der Reproduktionszahl R</th>\n",
       "      <th>Untere Grenze des 95%-Prädiktionsintervalls der Reproduktionszahl R</th>\n",
       "      <th>Obere Grenze des 95%-Prädiktionsintervalls der Reproduktionszahl R</th>\n",
       "      <th>Punktschätzer des 7-Tage-R Wertes</th>\n",
       "      <th>Untere Grenze des 95%-Prädiktionsintervalls des 7-Tage-R Wertes</th>\n",
       "      <th>Obere Grenze des 95%-Prädiktionsintervalls des 7-Tage-R Wertes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>2020-07-25</td>\n",
       "      <td>612</td>\n",
       "      <td>472</td>\n",
       "      <td>751</td>\n",
       "      <td>673</td>\n",
       "      <td>561</td>\n",
       "      <td>792</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.08</td>\n",
       "      <td>1.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2020-07-26</td>\n",
       "      <td>620</td>\n",
       "      <td>461</td>\n",
       "      <td>766</td>\n",
       "      <td>647</td>\n",
       "      <td>520</td>\n",
       "      <td>773</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.89</td>\n",
       "      <td>1.13</td>\n",
       "      <td>1.14</td>\n",
       "      <td>1.06</td>\n",
       "      <td>1.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>2020-07-27</td>\n",
       "      <td>845</td>\n",
       "      <td>590</td>\n",
       "      <td>1139</td>\n",
       "      <td>691</td>\n",
       "      <td>524</td>\n",
       "      <td>864</td>\n",
       "      <td>1.01</td>\n",
       "      <td>0.87</td>\n",
       "      <td>1.14</td>\n",
       "      <td>1.12</td>\n",
       "      <td>1.01</td>\n",
       "      <td>1.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>2020-07-28</td>\n",
       "      <td>788</td>\n",
       "      <td>496</td>\n",
       "      <td>1095</td>\n",
       "      <td>716</td>\n",
       "      <td>505</td>\n",
       "      <td>938</td>\n",
       "      <td>1.03</td>\n",
       "      <td>0.84</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.95</td>\n",
       "      <td>1.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>2020-07-29</td>\n",
       "      <td>728</td>\n",
       "      <td>355</td>\n",
       "      <td>1073</td>\n",
       "      <td>745</td>\n",
       "      <td>475</td>\n",
       "      <td>1018</td>\n",
       "      <td>1.11</td>\n",
       "      <td>0.89</td>\n",
       "      <td>1.33</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Datum des Erkrankungsbeginns  Punktschätzer der Anzahl Neuerkrankungen (ohne Glättung)  Untere Grenze des 95%-Prädiktionsintervalls der Anzahl Neuerkrankungen (ohne Glä  Obere Grenze des 95%-Prädiktionsintervalls der Anzahl Neuerkrankungen (ohne Glät  Punktschätzer der Anzahl Neuerkrankungen  Untere Grenze des 95%-Prädiktionsintervalls der Anzahl Neuerkrankungen  Obere Grenze des 95%-Prädiktionsintervalls der Anzahl Neuerkrankungen  Punktschätzer der Reproduktionszahl R  Untere Grenze des 95%-Prädiktionsintervalls der Reproduktionszahl R  Obere Grenze des 95%-Prädiktionsintervalls der Reproduktionszahl R  Punktschätzer des 7-Tage-R Wertes  Untere Grenze des 95%-Prädiktionsintervalls des 7-Tage-R Wertes  Obere Grenze des 95%-Prädiktionsintervalls des 7-Tage-R Wertes\n",
       "145                   2020-07-25                                                612                                                       472                                                                               751                                                                      673                                                561                                                                     792                                                       1.15                                               1.05                                                                 1.26                                                1.15                                               1.08                                                             1.22             \n",
       "146                   2020-07-26                                                620                                                       461                                                                               766                                                                      647                                                520                                                                     773                                                       1.00                                               0.89                                                                 1.13                                                1.14                                               1.06                                                             1.24             \n",
       "147                   2020-07-27                                                845                                                       590                                                                              1139                                                                      691                                                524                                                                     864                                                       1.01                                               0.87                                                                 1.14                                                1.12                                               1.01                                                             1.24             \n",
       "148                   2020-07-28                                                788                                                       496                                                                              1095                                                                      716                                                505                                                                     938                                                       1.03                                               0.84                                                                 1.22                                                1.09                                               0.95                                                             1.22             \n",
       "149                   2020-07-29                                                728                                                       355                                                                              1073                                                                      745                                                475                                                                    1018                                                       1.11                                               0.89                                                                 1.33                                                 NaN                                                NaN                                                              NaN             "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/Projekte_RKI/Nowcasting.html\n",
    "# rki_nowcasting_data_url = 'https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/Projekte_RKI/Nowcasting_Zahlen.xlsx'\n",
    "rki_nowcasting_data_url = 'https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/Projekte_RKI/Nowcasting_Zahlen.xlsx?__blob=publicationFile'\n",
    "\n",
    "r = requests.get(rki_nowcasting_data_url, allow_redirects=True)  # to get content after redirection\n",
    "# r.url, r.content\n",
    "xd = pd.ExcelFile(r.content)\n",
    "rki_nowcasting_df_ = xd.parse(xd.sheet_names[-1])\n",
    "rki_nowcasting_df_.to_excel(\"rki_nowcasting_data.xlsx\") \n",
    "rki_nowcasting_df_.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>confirmed</th>\n",
       "      <th>recovered</th>\n",
       "      <th>death</th>\n",
       "      <th>new_confirmed</th>\n",
       "      <th>new_recovered</th>\n",
       "      <th>new_death</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-26</th>\n",
       "      <td>206505</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>612.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-27</th>\n",
       "      <td>207125</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>620.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-28</th>\n",
       "      <td>207970</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>845.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-29</th>\n",
       "      <td>208758</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>788.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30</th>\n",
       "      <td>209486</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>728.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            confirmed  recovered  death  new_confirmed  new_recovered  new_death\n",
       "index                                                                           \n",
       "2020-07-26     206505          0      0          612.0            0.0        0.0\n",
       "2020-07-27     207125          0      0          620.0            0.0        0.0\n",
       "2020-07-28     207970          0      0          845.0            0.0        0.0\n",
       "2020-07-29     208758          0      0          788.0            0.0        0.0\n",
       "2020-07-30     209486          0      0          728.0            0.0        0.0"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rki_nowcasting_df = rki_nowcasting_df_[['Datum des Erkrankungsbeginns', 'Punktschätzer der Anzahl Neuerkrankungen (ohne Glättung)', 'Punktschätzer der Anzahl Neuerkrankungen']].copy()\n",
    "rki_nowcasting_df.columns = ['index', 'new_confirmed', 'new_confirmed_']\n",
    "rki_nowcasting_df['index'] = pd.to_datetime(rki_nowcasting_df['index'])\n",
    "rki_nowcasting_df = rki_nowcasting_df.set_index('index')\n",
    "\n",
    "last_date = rki_nowcasting_df.index[-1] + pd.DateOffset(days=1)\n",
    "last_value = cbr_germany.df['confirmed'].loc[last_date]\n",
    "# last_date, last_value\n",
    "\n",
    "ldf = pd.DataFrame(index=rki_nowcasting_df.index)\n",
    "ldf['confirmed'] = last_value - rki_nowcasting_df['new_confirmed'].values[::-1].cumsum()[::-1]\n",
    "ldf.loc[last_date] = [last_value]\n",
    "ldf['recovered'] = 0\n",
    "ldf['death']     = 0\n",
    "ldf['new_confirmed'] = covid19.discrete_diff(ldf['confirmed'])\n",
    "ldf['new_recovered'] = covid19.discrete_diff(ldf['recovered'])\n",
    "ldf['new_death']     = covid19.discrete_diff(ldf['death'])\n",
    "\n",
    "rki_nowcasting_df = ldf.copy()\n",
    "\n",
    "cbr_germany4 = covid19.CasesByRegion('Germany', df=rki_nowcasting_df)\n",
    "cbr_germany4.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5710107da0>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_germany4.plot_daily_stats(days=60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " /home/local/cs/workspaces/covid-19-data-analysis/covid19.py:1526: UserWarning:Exception in curve_fit: Optimal parameters not found: Number of calls to function has reached maxfev = 600./ None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sigmoid+asymmetric+linear: seor: 246.72280764129792; growth-rate: 0.002, date:2020-09-07 00:00:00, projected value: 424.83971739873175\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2560x640 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbr_germany4.fit(first_date=pd.to_datetime('2020-03-09'))\n",
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_germany4.plot_with_fits(ax=ax, restriction_start_date=datetime.datetime(2020, 3, 22))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " /home/local/cs/local/install/anaconda3-2020.02-Linux-x86_64/envs/py36ds/lib/python3.6/site-packages/statsmodels/tsa/base/tsa_model.py:162: ValueWarning:No frequency information was provided, so inferred frequency D will be used.\n"
     ]
    },
    {
     "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>fit_R</th>\n",
       "      <th>gp_R</th>\n",
       "      <th>kf_R</th>\n",
       "      <th>ll_R</th>\n",
       "      <th>mean_R</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-28</th>\n",
       "      <td>0.999</td>\n",
       "      <td>1.218</td>\n",
       "      <td>1.281</td>\n",
       "      <td>1.281</td>\n",
       "      <td>1.166</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            fit_R   gp_R   kf_R   ll_R  mean_R\n",
       "index                                         \n",
       "2020-07-28  0.999  1.218  1.281  1.281   1.166"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cbr_germany4.calculate_R_estimates()\n",
    "cbr_germany4.R().round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f56e0112f28>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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Vk5Yyt7iekB26otcfLZxDz5N47ruAIevmjxCZviLoSFedZUFxcR6dnSN/0v4c46YZfOrreC17ic67k9iyD4zqwmGs841PS/9JDnQf4kD3YQ71HCXhJgEIWSFq86uYOWEaM4rqmJJfTUT3/JYRxO/rILnlEdymHRCOElt4D9H5d77le9P7/Z0k1j6Ed+oQobJpZN32cezcCcOcWuRVHYkunm56hufbduAZjyn51bxz6u3MnjBj1H/vNMYw8Ojf4Pe0kXvf/8KO5wYdSURERERERERERK6ycNimsPBtTto3NTUBDBX2APX19Tz88MMXnGuM4bXXAZz7uLGx8YpL+zcKfs5gOsHm5u08e3QLh7oyOSvySrl31u3cXLuMoqyCK3rN0cQYn+7nHiGx5VFCuUWUvf9/Ep807c0fOIYUF+cFHeGK+H/w17Q98kVSu58ip6CAolW/F3QkeQOlEwtYOGUmAL7vc7TnOHvbG9nbfoCG04c4fKaJJ4+uJWKHmVEylTmlM5hTOoPpE6YQDmkSWa49301z5vnH6dv8c4ybJqd+GcW3/RHhggtX4fvGp2uwh9a+U7T1tXOy/zS50WymTqhmSlE1hfH8V08uycM88Pd0PfsjzrzwOIOP/n+UvvvPyK7TunwZXif7T/Nf+55iQ9PzeMZnZkkd759zN9eVje7J+tdKNO2hr+MY+YvvomRyRdBxREREREREREREZAS4rFZpcHCQnJzzC/T8/HwGBgYuOPfmm2/mk5/8JB/4wAeYOXMm3/rWt3Bdl2QyecXhLjVpb4zhYM8RtrS+yMvte3B8h6i2zrZlAAAgAElEQVQdYXnFYpZPWkJdQS2WZeENQMdA3xW/7mhg0gkSz/wr7rGd2BOnkHXHJ+mPFtHfMTY/39cbjZP250Rv+yTOL79C98b/YNC1iM27M+hIcpkKmMCKkuWsKFmO53s0952gsfswB7oPc7DjKHvbDwAQsSPUFdYOrdOvyZs8Zjd9yMjhNO8iuflHmN527MJysm78EHblHI4PDNB+eg/tg6c5NdhB++Bp2gc7OJ3owPHdSz5fQSyf6rxKqvIqqc6bTHVeJQXz30tWQQ2J577DyZ/8PdGF7yK2+D1Y+vqWt6l98DRPNT3DtpMv4xufaYVTuHvK7cwoqsOyLDo7+4OOOGwGNz4KloU/7RY6xsnPbSIiIiIiIiIiIuPdsEzaZ2dnX1DQ9/X1XVDkAyxfvpw///M/5zOf+Qw9PT28973vZdq0aZSVXfl95I3hvEK2J3WG59t2sLXtRToSnQBMya9hxaQlLCqdRzwcP++xY5Xf207i6a/jd7cQnrac+KoHsMLRMf05X8rrv0ZGhWg2We/8DIknvkxq608gHCc6a3XQqeQK2VaI2vwaavNruKPmVlzfpan3OAfPlviHeo6yv+sgALFQlLqCKUMl/uTcSSrxZdj4vac5s/WHnDy5l854nK7rltKVV0h767O0H/7p0G0dzrGwKI4XMa1wKqXZEynNLqEsayITs4vpS/dzvK+F430tNPe1sLezkT0dDUOPzYvmUpVXSdUNt1N26CUq9vyK4pMHyFrzIHZ24bX+1GUMODnQzlNNz7D91MsYDDMK63jnlNuYXlQ3dM6o+z7/BryuFtzm3YSnLMbKLx1Tn5uIiIiIiIiIiIhc2pv9XeAV3dP+F7/4BXV1mb9E/cpXvkJHR8cF97R/vTNnzrB69Wp+/vOfM3Xq1MtPDnR3D5BMp9nT0cDWthfZ19mIwZAXyWVpxSJWVCyhPOfKLwYYzdzWBpK//RYmNUB06fuJzr9rzKyLvRKWBSUleXR0jL5J+3P8gW4Gn/gypvc08Vv+hMj0FUFHkmHkeA5Nvc0c6D7MgZ7DNJ1pxjUeAPFQnGmFr5b4lbkV2JYdcGIZ6RzfpSPROTQp3z5wipOnD3I61UNf+MKvn4Jo3lApPzGrhNLsiZRll1CcVUzEvrzbNzi+S2t/21CJf7yvhdb+tqGvZYBsz6fSMVRPWkDtpPlU5VZSkjVhXH5vksvXNnCKp5rWsePULgyG+qLp3DXlNqYVTgk62lWVXP9dnMaNZL/n84RK6978ASIiIiIiIiIiIjImhMM2RUWXnrS/rNIe4NOf/jSO4/ClL32JEydOcP/99/PP//zPLF++/Lzz0uk0R44cYcaMGXR1dfG3f/u3ZGVl8dWvfvWKw/9s16958vA6+p0BbMtmTvFMllcsYW7xrHE5pZre9wypzT+CcISsWz9GuGZB0JECMxZKewC/7zSDj38ZM9hD/PZPEKm9PuhIcpWkvTRHzhzLTOL3HKap9zi+ydz+IzucxfTCqUw/W+JX5JSpxB+nfOPTlex5tZhPvLrOvivZjeH8N7y45zPRtykrnkpZcd1QSV+aVXLe9pnh5PkerQOnhibyj53eT2uyE8d+taTPCsepyj23Wj/z74nZJfq6Flr623iqaR0vt+/BYJg9YSZ3TVnD1ILaoKNddf5gDwM//gyh0qlk3/vXQccRERERERERERGRa2jYSvve3l4+97nPsXHjRnJycnjwwQe57777AFi4cCHf/va3Wbx4Mf39/dx33300NzcTi8W4++67+Yu/+Avi8SsvD/7yN19iIJlg+aQlLC1fRGGs4IqfYywwnkNq6yM4+57ByptI1h2fIjShMuhYgRorpT2A39OWmbhPDZJ156cIT54bdCS5BpJuiiNnmoYm8Zt7TwwVsrmRHKYXTh2axC/LLtXU8hhijKE33Z8p4xNn7y8/2MGpRAcdgx3nTbEDROzw0KT8xFA2RSf2M+FkEyUmzIQF9xC97h1Ylzk5f7U43a00P/dNjie7aCsuo7WohBODp0h76aFzYqEok3Mrqc6vHCr0y3NKVeSPEyf6Wvl10zp2nt4DwNzieu6svY0pBdUBJ7t2Utt+RnrnL4m/45NEahcFHUdERERERERERESuoWEr7YOwu/kg5fGycVtW+QPdOA3P4jQ8h0n0Epo0i6zbPoEVzw06WuDGUmkP4HU2M/jEP4DvkvXOzxAunxF0JLnGEm6Swz1Hh0r8E32tQyV+fjRvqMSfXlRHaVbJuH1fHE0GnQSnEx2cOjc1P3ia04kO2gc7SHqp8861LZvieNFrJuXP/ju7hMJYAZbnkN75K9K7ngTPJTxtGbEbPoCdUxTQZ3ch46ZJbf4hTuMGrJwiord+jK78orOr9U+cncxvJeklhx4TtSNU5k46r8ivyCkbl9t0xqrmvhM8dXQduzr2AnBdyWzuql1DTX5VwMmuLeMk6f/xp7HiueT83pexdLGKiIiIiIiIiIjIuDKqS/vu7gFc1w86xjVljMFr24+zdx1u00tgfKzcYqJzbiNy3e2BT1OOFGOttAfw2g8z+KuvARbZ7/pLQhNrg44kARp0BjnYc3RonX5Lf9vQscJYwXmT+MVx3T88KGnPOe8+86deMznf5/RfcH5hrIDSrJKzhfzEoX8Xx4sIX+T93RiDe+wlUlt+jOnvxC6aTOzGDxGeVH8tPr23xDmwmeSm74PnElv6fiLz7hz6+vSNT0eia2i1/rlCf9BNDD0+bIepzKmgKr+S6txKqvIrqcgpJ6Lvf6PKsd7j/LppLXs6GgCYP3Eud9WuoSpvfG4KSr/yW1JbfkTspvuJzr4l6DgiIiIiIiIiIiJyjam0HyVMOoFzaCvO3nX43S0AhCbPJTpnDaGq+Vi2JrJeayyW9gBuawOJX/8vrHCMrHv+atzfBkFe1Z8e4GDPkaFJ/JMDp4aOFcUKhwr8GUV1TIiPnOnrscDzvcx95hOvTsy3D2Ym6HtSZy64z3xOOPuCUr40q4SJ2SXEQtHLfl2/5yTJrT/CO74HIlnEFr+HyJw1o+LiLa+rheTab+L3tBGuWUh89R9jxS7+w4gxhq5k99kC/9Uiv98ZGDonZIWYlFNGVd5kqvIyK/Yn5VQQDUWu1ackl+nomWZ+3bSWvZ37AVg48TrurF3D5LxJAScLjvE9Bv7jL8FJkfMH/4QVvvz3ARERERERERERERkbVNqPcF5PK87eZ3AObAInCdEsIjNuIjp7DXZhedDxRqyxWtoDuM27SPzmG1jxPLLv/Wvs/NKgI8kI1Jvu42D3EQ70HOZg92FODZ4eOlYSnzC0Sn9GUR2FsYIAk44OxhjOpHvPK+XPlfQdiS68191nPmpHmHi2kC/LerWgn5hdQm7k0t90LyuLkyL98hOkdz8Fvkt4+gpiN/wednbh23rea804SZIbH8Y99DxWXglZaz5OqHTq5T3WGHpSZ84r8o/3tXAm3Tt0jm3ZVOSUDa3Vr86vpDJ30hVdGCHD58iZJp48upaGrgNYWCwqncedtWuYlKufZZzD20iu+xei17+H2PXvCTqOiIiIiIiIiIiIBECl/QhkfA+3eSfO3nV4LfsAsCdMJjJ7DZHpy7Ei8YATjnxjubQHcI5sI7nuIaycCZniPrc46EgywvWkzmRK/LOT+B2JzqFjpdklzCisoyx74gWPu9gfn9dPjr+Ry/0WctHnvMRDL3buxU+9yHmXjHPhgbR/brV9B+2JDtJe+rzjtmUzMas4U8afLebLzhb1BdH8Yb8lgTEG9+h2UlsfwQx0YU+oInbThwmXzxjW17mWjDE4+9eT2vJDMIbYst/PbAt4i//vzqT6ON534jWr9VvoTvUMHbewKMsppSq3kuq8SVTlTWZy3iSywvq+erUc6jnKk0d/S2P3ISwsri+bz521a6jIKQs62ohgjGHwsS/gd50g5w/+CTsrP+hIIiIiIiIiIiIiEgCV9iOIn+jF2b8BZ98zmIEusEKEp1xPZM4aQuUzdE/qKzDWS3sAp3EjyfXfxSooJ/uev8LO1rS0XL7uZE+mwD9b4nclu4OONGIVxQope82kfGnWq/eZD9mha5LB62kltflHeC17IZpFbPHvEJl9C9Y1ev2rzes4RmLttzC97YSnLiG+6iNY0axhee6+dD8n+lppfk2Z35HsOu+c0uySTJGfP/nsZP4ksiPZw/L649WB7sM8efS3HOw5goXFkvKF3FlzK2U52g7zWm5bI4knvkxk1i3EV94fdBwREREREREREREJiEr7gBlj8E8fIb13He7hbeC7WFkFRGatJjJrNXaO7j39VoyH0h4g/cpaUlt+iD2hiux3/SVWPDfoSDJKdSS66E33AhdeHHTpy4UufuRi1xdZb/AsF3/miz7J5Z/7Bg+42K9e7KKokGUzIV5ENMB16sZJkn7pcdJ7ngbfIzxjJbEb3j8mp3FNepDk+u/hHt2OlV9G1u2fIFRcfVVea9AZ5Pjrivz2RMd555TEJ2TW6udNpiovs2I/N/r2bm0w1hljaOw+xK+b1nKo5yi2ZbO0bBF31N5C6UU2eQgMPvXPeM27yPnAl7ELdKsAERERERERERGR8UqlfUCMm8Y9/ALpfc/gnz4KQKh8BpE5awjXXo8VCgeccHQbL6U9QOrlX5J+8WfYE6eSffdfDNt0qogExxiDe2Qbqed/ghnoxi6uIX7ThwmVTQs62lVljMHZu5bU8z8ByyK24kNE6m++JptmEm6SE32tHO87QXNfK8f7Wzg10H7e7RiKYoVU51VSlTeZqrxJlGZPxMLCx8cYg8Hgm9d9jMlcoHf214zxX/OxwT/7a5nzzx4/e+y1Hw/9Gmcff9HXeP3rvTaLufh5Z88ZyvGa13rtc1ws0+s/335ngJb+NmzLZln59byj5lYmZuv2LZfi9bQy+NO/Jlx7PVnv+H+CjiMiIiIiIiIiIiIBUml/jfl9p3H2PUt6/3pIDUA4SmTaiswK/OKqoOONGeOptAdIbfsZ6Z2/JFRRT9Zd/wMrHNxksIi8PV5XC6ktP8RrbYBYDrElv0OkfjWWbQcd7Zrx2o9k1uX3dxKetpz4yvuxItf+vvMpL01LfyvNvZlp/OP9LbQNnMI3o+tnj+FkYWFZFrZlv/oxFpZlE7Js5k+cwztqbqUka0LQUUe85IZ/x9m/nux7/19C5dODjiMiIiIiIiIiIiIBUml/DRjj453YS3rvOrzmXYDBKigjOnsNkRk3YsW0bne4jbfS3hhDasuPcPauJVQ1j6x3fFLbGkRGGZNOkNrxGM4ra8H4ROpXEl36fux4XtDRAmGS/SSe+zZe8y7swknEb/8EoaLKoGOR9hxaB9po7m2hK9n9mtLaunih/ZqPLV5/zMLCPu85hp7Lsl/9tTd8jtc/37nz7KH/ts8+39DH557jkpkuPP/ca8nw8AfPMPDIp7FLasl59+eCjiMiIiIiIiIiIiIBU2l/FZnUAM6BTaT3PYM5cwqwCFXPJzr3NkKVs7H0l99XzXgr7SFzcUhy/fdwD2wiPGUx8TUPYtmhoGOJyJswxuAe2krqhZ9iBnuwJ04hfuOHCZVODTpa4IzxcXY/RWrbzyAUJn7T/URm3Bh0LJG3LbX9UdIvPU789v9OZMrioOOIiIiIiIiIiIhIwN6stNeo7lvgdR7H2bsO59AWcNNYsVyi899JZNYt2PkTg44nY5Rl2cRXfYSkm8I98iLJDd8jfvNHdXGIyAjmdR0ntfmHeG2NmVX4K/+IyMxV42oV/huxLJvo/Hdil00jufZfSD73bbyTjcRWfEi3AZFRy7gp0nvXYeWXEq5ZFHQcERERERERERERGQVU2l8m47u4R3fg7F2Hd/IAAPbEKUTnrCE8danKBbkmLNsmfsufknDTuAc2kwrHid34ISzLCjqaiLyGSQ+S2v5fOHvXgTFEZt1CbMnvYMVzg442IoXLZ5D9O18g+ey/4ezfgNd+lKzbP4FdUB50NJEr5jRugtQA0cXv0wU6IiIiIiIiIiIiclm0Hv9N+APdOA3P4exfjxnsATtMuG4p0Tm3abVxgMbjevzXMm6axFP/G6+1geiCu4ktfX/QkUSEs6vwD24h9cJ/YBK92KVTM6vwJ04JOtqoYHyf9M4nSO94DMIx4jd/hMjUpUHHErlsxvcZ+On/hNQgOff9E1Y4FnQkERERERERERERGQG0Hv8tMMbgnTyAs3cd7tEdYDys3GKiS36XSP0q7Kz8oCPKOGeFo2S945MMPvk10jt/BZE4sYX3BB1LZFzzOptJbfoB3qmDWPE84qs+QnjmTbqFxRWwbJvYoncTKptO8pn/Q3Ltv+DNaSS27INYoUjQ8UTelNu0A9PbTnTRvSrsRURERERERERE5LKptH8N4yRxDm7F2bcOv+sEAKHKOUTm3Eq4egGWHQo4ocirrGgW2Xd9msFf/gPpF39+dgX3al1UInKNmdQAqe2P4ux7BoDI7DXElrwPK3bpK+bkjYUrZ2fW5a97KHNbmvYjZK35OHb+xKCjiVySMYb07l9DKExk9pqg44iIiIiIiIiIiMgoovX4gN9zkvS+dTgHNkE6AZE4kRk3EZlzK6HCSVf99eXKjff1+K/lJ3pJPP4l/DMnAbAnVBGaNItw5SxCFTOxotkBJxQZm4zxcQ9sJvXCTzHJPuyyaZlV+CU1QUcbM4zvkd7+X6R3/hKi2WSt/hPCtQuDjiVyUe7JgyQe/3si9TcTX/VA0HFERERERERERERkBHmz9fjjtrQ3vo/XvIv0vnV4J14BwC6qJDJnDZFpy7GiWVfldWV4qLQ/n0kN4BzdjtfSgNe6D5PozRywLOySKZkCf9IsQuXTta5XZBh4HU0kN/0Av/0wVlY+sRt+j/D0FVqFf5W4zbtJPPuvkBogMu9OYkt/F8vWsiAZWRK/+QZu00tk/96XdNGniIiIiIiIiIiInEel/ev4yT6c/Rtw9j2D6e8EyyZcu4jInDWEKuqxLGtYX0+uDpX2l2aMwe9pPVvgN+C27YfUQOagHSJUNi1T4E+aRai0Diuk4kvkcplk/9lV+M+CBZE5txG7/j1ahX8N+P2dJNY9hH/qEHbZtMy6/NwJQccSATJbmwZ++leEaxaQdcefBR1HRERERERERERERhiV9md5p4+S3rsW9/AL4LlYWflEZq0mUr9af+k/Cqm0v3zG9/G7mvFaGnBbG/DaGsFNZQ6Go4TKZ2TW6U+ahV1Sg2WHgg0sMgIZ4+Ps30B6288wqX5C5TOI3fhhQsVVQUcbV4zvktr2M5zdT2HFconf+t8IV80LOpYIyY3fx2l4lqx7/opwxcyg44iIiIiIiIiIiMgIM65Le+OmcY+8SHrvOvzTRwAIlU0nMmcN4SmLNWE8iqm0f+uM7+K3H80U+K0NeKcOgudmDkazCFfUZ6bwK2dhF1Vq3beMe177EZKbf4B/+ihWVgGxZR8gPG25NrMEyGnaQfK570A6SXThu4he/x5dcCSB8RO9DPz409gTqsh+z+f13iAiIiIiIiIiIiIXGJelvd/XgdPwLM7+DZhkH4SiRKYvIzJ7DaGSmquQVK41lfbDx7hpvFOHMqv0Wxvw24+Ayfy5s+J5Z1fp1xOeNBuroExlhIwbfrKP9Laf4ezfAJZFZO7tmVX40aygowng97aTWPsv+B1NhCrqia/5GHZ2YdCxZBxK7XiM9I7HiN/2cSJTlwYdR0REREREREREREagcVPaG2PwWvbh7F2L27wTjMHKLyU6+1YiM1fqfsNjjEr7q8ekE3gnD+K27sNrbcDvaAYy/5OtnKKhVfqhytnYucXBhhW5Cozv4+x/jtSLP4fUAKGK+swq/AmVQUeT1zGeQ2rrT3D2rcPKyie+5kHCk2YFHUvGEeOmGfjxpyESJ+cD/6CNDyIiIiIiIiIiInJRY760N+lBnAObcfauwz9zErAIVc8jOmcNoclztdp7jFJpf+2YZD9uWyPeuRK/u3XomJVfminwz/5jZxcEmFTk7fNOHcqswu84hpVdSGzZBwnX3aANEyOcc/gFkhv+HdwU0evfS3Thu/T9X66J9L5nSW36PrEV9xGde3vQcURERERERERERGSEGrOlvdd1AmfvOpyDW8BNQSyHyMyVRGffip1feo2TyrWm0j44/mAPXut+vNZ9uC0NmL7TQ8fsospMgV85i3BFvTZcyKjhJ3pJb/tPnMaNYIWIXPcOYovu1Sr8UcTvOUli7Tfxu04QmjyX+C3/DTsrP+hYMoYZ4zPw07/CJPvJ/YN/worEg44kIiIiIiIiIiIiI9SYKu2N7+I2vYyzdy1eWyMAdkkN0dlrCE+7ASscCyqqXGMq7UcOv+80Xut+3JbMJL4Z7Dl7xMIuqcms06+cRah8hgoNGXGM7+M0PEPqxUchPUiocjaxFR8iVDQp6GjyFhg3TWrzD3EaN2DlFBFf83HC5dODjiVjlNP0EsnffIPogncRW/q7QccRERERERERERGREWxMlPb+YA/O/vU4+57NFIJ2iPDUpUTnrMEurdPa4nFIpf3IZIzBnDmJ29qA17IPr3U/JtWfOWiFCJVOJVR5dp1+aR1WOBpsYBnX3JMHSW3+AX5nM1bOBGLLP0h4yhJ9TxkDnAObSW76PngusaXvJzLvTv2+yrByj+8muf57mGQ/OX/wj9jZhUFHEhERERERERERkRFsVJf2HYcaGNz+BO7R7eB7WDkTiMxaTaT+Zt07e5xTaT86GOPjd53Aa2nAbd2X2ZDhJDMHQxFC5dMzk/iTZmFPnIJlh4INLGOecdO4R7fjNG7Ea20AO0R03p1EF96jTRBjjNfVQnLtN/F72gjXLCS++o91yw5520xqgOTWn+Ae2AiROPGb/pDI9BVBxxIREREREREREZERblSX9ie++xnSJ48SmjSLyJw1hGsWqtQTQKX9aGV8D7+jCbelAa+1Ae/kAfCczMFInFDFTMKTMpP4dnEVlmUHG1jGBGMMfscxnMYNOIe2QjqR2dhSez2xxe/FLqwIOqJcJcZJktz4MO6h57HySsha83FCpVODjiWjlNu8k+SGhzGDPYQmzyW+6gHs3OKgY4mIiIiIiIiIiMgoMKpL+5PP/hQq5xEqqgw6iowwKu3HBuM5eKcOZwr81ga8U4fBeJmDsZyhAj9UOQu7oELrreWKmGQ/zqGtOI0b8DuPA2AXTSZSv5Lw9BXY8byAE8q1YIzB2b+e1JYfgjHElv0+kTlr9H4ily0zXf9j3AObIZJFfPnvE565Ul9DIiIiIiIiIiIictlGdWl/7p72Iq+n0n5sMk4S7+RBvNYG3NYG/NNNQOY32MouHFqlH6qchZ03MdCsMjIZ4+O1NOA0bsBt2gGeC5EsItNuIDJzVeY2DCraxiWv4xiJtd/C9LYTnrqE+KqPYEWzgo4lI5zb9DLJTd/PTNdXzSO+8o+wcycEHUtERERERERERERGGZX2MiaptB8fTGoAt60xM4Xf0oDffWLomJU3cajAD02ahZ1dGGBSCZrf34nTuAnnwEZMXwcAoYqZRGauIjx1MVY4FnBCGQlMepDk+u/hHt2OlV9G1u2fIFRcHXQsGYFMsp/klh/hHtoK0SziK+4jPP1GXfQjIiIiIiIiIiIib4lKexmTVNqPT/7gGby2/XgtmUl803tq6JhdWJFZpX92Gt+K5waYVK4F4zm4TS/jNG7AO7EXMFjZhURm3Ehk5krsgvKgI8oIZIzB2buW1PM/AcsituJDROpvVhkrQ5ymHaQ2fh+T6CVUPT8zXZ9TFHQsERERERERERERGcVU2suYpNJeIDNd7bU24LY04LU2YAa6zh6xsIurCFddR6h6AaHSOizbDjSrDB+v6zjO/g24B7diUv1ghQjXzCcycxWhquuw7FDQEWUU8NqPZNbl93cSnrac+Mr7sSLxoGNJgPxkH6nNP8I9/DzEcjLT9dOW64IOERERERERERERedtU2suYpNJeXs8Yg+k9NVTge60NmGRf5mAsh3DVPMLV8wlPnqsp/FHIpAdxDj2P07gR//RRAOyCciL1qwhPvxE7uyDghDIamWQ/iee+jde8C7twEvHbP0GoqDLoWBIA58iLpDb/AJPoJVyzkNjK+3XbFRERERERERERERk2Ku1lTFJpL2/G+D7+6SO4zbtwm3fjdx7LHLBsQmXTCFXPJ1w9H7uoUlOUI5QxBq+tEadxA+6R7eClIRwjUreU8MxVhMqm6fdO3jZjfJzdT5Ha9jMIhYnfdD+RGTcGHUuuET/RS2rzD3CPvJiZrr/xw4TrbtB7i4iIiIiIiIiIiAwrlfYyJqm0lyvlD3TjNu/Ca96F27IX3DQAVm5xZgK/egGhSfVY4WjAScUf6MY5sBmncSOm9xQAdtk0IjNXEpm6FCuaFXBCGYvckwdIrv0XzGAPkfpVxFZ8SO8HY5gxBvfcdH2yj3Dt9cRu+kNt7RAREREREREREZGrQqW9jEkq7eXtMG4ar60Rt3knbvNuTN/pzIFQlFDlLMLVCzJT+LkTgg06jhjfxT22C6dxA97x3WAMVjyP8IwbicxcqZXlck34iV6Sz/4b3olXsCdUkXXbJ7ALy4OOJcPMHzyTma4/uh0rnkfsxg8TnrpE0/UiIiIiIiIiIiJy1ai0lzFJpb0MF2MMfk8bXvPOzCT+yYNgMu87dnEV4aqza/RL67BsO+C0Y4/X04qzfwPuwS2YRC9YFqGqeURmriJcPR8rFA46oowzxvdJ73yC9I7HwI4QmbWa6Py7sHOKgo4mb5MxBvfwC6Q2/xCT6ic8dQmxGz+MnZUfdDQREREREREREREZ41Tay5ik0l6uFpMawD3xytlV+rsxqX4ArFguoarrCNcsIDx5Llbs0m+s8saMk8Q9vI104wb8U4cAsPJLM+vvZ9ykclRGBLe1gdTWR/A7myEUJjJzFdH578TOKwk6mrwF/mAPqU3/F7fppcx0/U1/SGTqkqBjiYiIiIiIiO5yVJ8AACAASURBVIiIyDih0l7GJJX2ci0Y38c/fQS3eRdu8078zuOZA5ZNqHw64er5hKrnYxdO0lrlN2GMwT91CKdxA87hbeCmIBQlPHVxZv19xUwsS5sMZGQxxuA17yL10uP4p4+AFSIy40aiC+7GLigLOp5cBmMM7qGtJLf8CFIDhOtuIHbjh7DjeUFHExERERERERERkXFEpb2MSSrtJQh+fydu8+7MFH7LPvDSAFh5JYSrM2v0QxX1WOFowElHDj/Ri3tgM07jRvyeVgDsiVMyU/XTlmFFswNOKPLmjDF4LXtJv/Q43skDYFmE65YRXXgPoaJJQceTS/AHuklu/D5e806srHxiN91PZMr1QccSERERERERERGRcUilvYxJKu0laMZN47Xuz0zhH9+F6evIHAhHCVfOIXS2xB+Pq96N7+Gd2IOzfyPusZ1gPIjlEJm+gsjMVYSKq4KOKPKWua37Sb/8BF7LXsAiPHVxprwvrg46mpxljME9uJnklh9DepDwtOXEV9yHFc8NOpqIiIiIiIiIiIiMUyrtZUxSaS8jiTEGv7s1M4HfvBPv1CEwmfcuu7h6aArfnjgVyx67K+D9M6dwGjfiHNiEGewBLEKT5xCZuYpw7UKsUCToiCLDxjt1iNTLT+A17wIgXLMwU96XTg042fjmD3ST3PDveMd3Y2UVEFt5P5HaRUHHEhERERERERERkXFOpb2MSSrtZSQzqQHc43vOTuHvhtQAAFY8j1DVvEyJP3kOVuzSb86jhXFTuEe24zRuwGtrBMDKLc6sv59xE3ZeScAJRa4ur+MY6Zcex23aAUBo8lyii+4lXD4j4GTjizEG98Amklt/DOkE4ek3El/++5quFxERERERERERkRFBpb2MSSrtZbQwvo/ffjhT4Dfvwu86njlghQiVTydcPZ9QzXzsggosywo27GUyxuB3NOHs34Bz6HlwEmCHCdcuIlK/ilDlbCxr7G4UELkYr+sE6Zd/iXvkBTCGUEU90UX3Epo0a9T82R6t/P7OzHT9iVewsguJr/wjwjULgo4lIiIiIiIiIiIiMkSlvYxJKu1ltPL7O4cKfK+lAbw0AFbexMwEfs0CQhUzR+QqeZPsxzm4Badx49DFB3ZxFZGZq4hMW66JVhHA7zlJaucvcQ9uAeNjl00jtvAeQlXzVN4PM2MMzv71pJ7/CThJwjNWEl/+wTGxxURERERERERERETGFpX2MiaptJexwLhpvNaGoRLf9HdmDoRjhCfPIVQ9n3DVPOycouAyGh+vZR/O/g24TS+B70I0i8i05URmrsIuqVERKXIRfu9p0rt+hdO4EXwPu6SG6MJ7Cdcu1CaKYeD3dWSm61v2YuUUEV/5AOHqeUHHEhEREREREREREbkolfYyJqm0l7HGGIPf3YLbvBOveTfeqYOc++K2S2oyU/jVC7An1l6Tws/v68Bp3IhzYNPQxQShSbOIzFxJeMpirHD0qmcQGQv8/i7Su3+N0/AceA520WSii+4hPGUJlq3y/koZY3AaniP1wn+AkyRSv4rYsg9iRbODjiYiIiIiIiIiIiJySSrtZUxSaS9jnUn2457Yk5nCP74HUgMAWFn5hKquI1y9gPDkOcNaVBk3jdv0Ek7jRryWfYDByikiMuMmIjNXYueXDttriYw3/mAP6d1P4+x7BtwUdkE50YX3EJ52A5YdDjreqOD3nia54Xt4rQ1YOROIr3qAcNV1QccSEREREREREREReVMq7WVMUmkv44nxPbz2w3jNu3CP7cLvPpE5YIUIVcw4O4U/H6ug/C2tqvc6m3H2b8A5tDVzcYAVIlyzgEj9KkKTr9M0sMgw8pN9OHt+Q/qVteAksPImEl1wN5EZN2KFIkHHG5GM8XH2PUPqhf8EN0WkfjWxZR/AimYFHU1ERERERERERETksqi0lzFJpb2MZ35fB+7x3bjHduK1NoDnAGDllxGunke4ej6hiplvWACa1ADOoedxGjfidzQBYBdNIjJzFeHpK7Cz8q/FpyIybpnUAOm960jveRpSA1g5E4jOfyeR+lW6/cRr+L3tJNd/F6+tESu3mPiqjxCePCfoWCIiIiIiIiIiIiJXRKW9jEkq7UUyjJvCa2nIrNFv3oUZ6MociMQJV84hdLbEt7MLMcbHa2vE2b8B9+j2TNkfiROpW0pk5irs0rq3NKkvIm+dSSdI73sWZ89TmEQvVlYB0fl3Epl1C1YkHnS8wBjj4+xdR2rbf4KbJjL7VmJL36/pehERERERERERERmVVNrLmKTSXuRCxhj8rhO4zbvwmnfhtR/i3B8Qu6QWkxrA9J0GIFQ+g8jMlYSnLhnXxaDISGHcFM7+DaR3PYkZ6MaK5RKZdwfROWuwotlBx7um/DOnMtP1Jw9g5U0kfvNHCE+aFXQsERERERERERERkbdMpb2MSSrtRd6cSfZn1ug378I9vgcrFCYy4yYiM1diF1YEHU9ELsJ4Dk7jJtI7f4np74RoNtG5txOdeztWPDfoeFeV8X2cvb8lte3n4KWJzFmTma7XhUUiIiIiIiIiIiIyyqm0lzFJpb3IlTHGByytvxcZJYzv4h7cSurlX2J6T0EkTnT2rUTm3YmdlR90vGHn95zMTNefOnh2uv6jhCfVBx1LREREREREREREZFiotJcxSaW9iIiMB8b3cI9sI/3yE/jdrRCKEpm1muj8u7BzioKO97YZ38d55WlSLz4Knktk7m3ElvwuViQWdDQRERERERERERGRYTNspX1vby+f//zn2bBhA7m5uXzsYx/jvvvuu+i5Tz75JN/85jdpa2ujtLSUBx98kPe85z1XHF6lvVyKSnsRERlPjPFxj+7IlPedzWCHidSvIjr/ndh5JUHHe0u8nlaSz30Xv/0wVkFZZrq+fEbQsURERERERERERESG3ZuV9uHLfaIvfOELeJ7Hxo0baW5u5oEHHqCuro5ly5add15bWxuf/exn+cY3vsEtt9zCjh07+OhHP8rcuXOZNm3aW/9MRERERMYpy7KJTF1CeMpivOZdpF56HGffMzgN64nMWEF0wbuwC8qCjnlZjO+R3v006R2PgucRue4OYkvehxXWdL2IiIiIiIiIiIiMT5dV2g8ODvLUU0/x2GOPkZuby+zZs3nve9/Lz3/+8wtK+9bWVvLy8rj11lsBWLx4MdXV1Rw6dOiKS3vLyvwj8nrnvi709SEiIuOJZVnYtQsI18zHa9lL6qUncBo34hzYRKRuGdFF7yJ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      "text/plain": [
       "<Figure size 2560x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(32,8), dpi=80, facecolor='w', edgecolor='k')\n",
    "ax = plt.subplot(1,1,1)\n",
    "cbr_germany4.plot_R(ax=ax) # , plot_start_date='2020-03-10'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "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_confirmed</th>\n",
       "      <th>new_confirmed_nc</th>\n",
       "      <th>delta</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-01</th>\n",
       "      <td>425</td>\n",
       "      <td>442</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-02</th>\n",
       "      <td>390</td>\n",
       "      <td>402</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-03</th>\n",
       "      <td>397</td>\n",
       "      <td>342</td>\n",
       "      <td>-55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-04</th>\n",
       "      <td>281</td>\n",
       "      <td>348</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-05</th>\n",
       "      <td>228</td>\n",
       "      <td>295</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-06</th>\n",
       "      <td>343</td>\n",
       "      <td>300</td>\n",
       "      <td>-43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-07</th>\n",
       "      <td>370</td>\n",
       "      <td>361</td>\n",
       "      <td>-9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-08</th>\n",
       "      <td>389</td>\n",
       "      <td>352</td>\n",
       "      <td>-37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-09</th>\n",
       "      <td>385</td>\n",
       "      <td>335</td>\n",
       "      <td>-50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-10</th>\n",
       "      <td>457</td>\n",
       "      <td>377</td>\n",
       "      <td>-80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-11</th>\n",
       "      <td>341</td>\n",
       "      <td>437</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-12</th>\n",
       "      <td>226</td>\n",
       "      <td>394</td>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-13</th>\n",
       "      <td>448</td>\n",
       "      <td>366</td>\n",
       "      <td>-82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-14</th>\n",
       "      <td>461</td>\n",
       "      <td>540</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-15</th>\n",
       "      <td>565</td>\n",
       "      <td>528</td>\n",
       "      <td>-37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-16</th>\n",
       "      <td>489</td>\n",
       "      <td>552</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-17</th>\n",
       "      <td>513</td>\n",
       "      <td>473</td>\n",
       "      <td>-40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-18</th>\n",
       "      <td>456</td>\n",
       "      <td>520</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-19</th>\n",
       "      <td>359</td>\n",
       "      <td>476</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-20</th>\n",
       "      <td>543</td>\n",
       "      <td>515</td>\n",
       "      <td>-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-21</th>\n",
       "      <td>566</td>\n",
       "      <td>641</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-22</th>\n",
       "      <td>630</td>\n",
       "      <td>703</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-23</th>\n",
       "      <td>593</td>\n",
       "      <td>724</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-24</th>\n",
       "      <td>677</td>\n",
       "      <td>671</td>\n",
       "      <td>-6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-25</th>\n",
       "      <td>505</td>\n",
       "      <td>686</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-26</th>\n",
       "      <td>339</td>\n",
       "      <td>612</td>\n",
       "      <td>273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-27</th>\n",
       "      <td>494</td>\n",
       "      <td>620</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-28</th>\n",
       "      <td>537</td>\n",
       "      <td>845</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-29</th>\n",
       "      <td>595</td>\n",
       "      <td>788</td>\n",
       "      <td>193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30</th>\n",
       "      <td>527</td>\n",
       "      <td>728</td>\n",
       "      <td>201</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            new_confirmed  new_confirmed_nc  delta\n",
       "index                                             \n",
       "2020-07-01            425               442     17\n",
       "2020-07-02            390               402     12\n",
       "2020-07-03            397               342    -55\n",
       "2020-07-04            281               348     67\n",
       "2020-07-05            228               295     67\n",
       "2020-07-06            343               300    -43\n",
       "2020-07-07            370               361     -9\n",
       "2020-07-08            389               352    -37\n",
       "2020-07-09            385               335    -50\n",
       "2020-07-10            457               377    -80\n",
       "2020-07-11            341               437     96\n",
       "2020-07-12            226               394    168\n",
       "2020-07-13            448               366    -82\n",
       "2020-07-14            461               540     79\n",
       "2020-07-15            565               528    -37\n",
       "2020-07-16            489               552     63\n",
       "2020-07-17            513               473    -40\n",
       "2020-07-18            456               520     64\n",
       "2020-07-19            359               476    117\n",
       "2020-07-20            543               515    -28\n",
       "2020-07-21            566               641     75\n",
       "2020-07-22            630               703     73\n",
       "2020-07-23            593               724    131\n",
       "2020-07-24            677               671     -6\n",
       "2020-07-25            505               686    181\n",
       "2020-07-26            339               612    273\n",
       "2020-07-27            494               620    126\n",
       "2020-07-28            537               845    308\n",
       "2020-07-29            595               788    193\n",
       "2020-07-30            527               728    201"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ldf = cbr_germany.df.loc[cbr_germany4.df.index, ['new_confirmed']]\n",
    "ldf['new_confirmed_nc'] = cbr_germany4.df['new_confirmed']\n",
    "ldf['delta'] = ldf['new_confirmed_nc'] - ldf['new_confirmed']\n",
    "ldf = ldf.astype(np.int)\n",
    "ldf.iloc[-30:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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