covid-19_pandas_analysis.ipynb

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   "source": [
    "# COVID-19 Analysis"
   ]
  },
  {
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   "metadata": {},
   "source": [
    "## Table of Contents\n",
    "1. [About the authors](#About-the-authors)\n",
    "    1. [Abdullah Chaudhry](#Abdullah-Chaudhry)\n",
    "    2. [Claudia Raffaelli](#Claudia-Raffaelli)\n",
    "2. [Introduction to the dataset](#Introduction-to-the-dataset)\n",
    "3. [Getting Started](#Getting-started)\n",
    "4. [Familiarizing with the dataset](#Familiarizing-with-the-dataset)\n",
    "    1. [Provinces JSON](#Provinces-JSON)\n",
    "    1. [Regions JSON](#Regions-JSON)\n",
    "5. [Province Analysis](#Province-analysis)\n",
    "6. [Region Analysis](#Region-analysis)\n",
    "7. [Province and Region Analysis](#Province-and-Region-Analysis)\n"
   ]
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   "source": [
    "## About the authors\n",
    "\n",
    "#### Abdullah Chaudhry\n",
    "- Personal GitHub: https://github.com/chabdullah\n",
    "- Operating System: Ubuntu 20.04 LTS\n",
    "- Computer: Huawei Matebook D 14\n",
    "- Processor: AMD Ryzen 5 2500U\n",
    "- RAM: 8GB\n",
    "- Storage: 250GB SSD + 1TB HDD\n",
    "----\n",
    "#### Claudia Raffaelli\n",
    "- Personal GitHub: https://github.com/ClaudiaRaffaelli\n",
    "- Operating System: macOS Catalina\n",
    "- Computer: MacBook Pro\n",
    "- Processor: 2,8 GHz Intel Core i7 quad-core\n",
    "- RAM: 16GB\n",
    "- Storage: 1TB SSD"
   ]
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   "source": [
    "## Introduction to the dataset\n",
    "\n",
    "The analysis proposed hereafter have the purpose of uncovering the various aspects that links the cases of COVID-19 to the different regions and provinces of Italy. This work is based upon the dataset at the link [COVID-19](https://github.com/pcm-dpc/COVID-19), made available by the \"Protezione Civile Italiana\" organization.\n",
    "\n",
    "The dataset under consideration has a wide repository structure, although we will just make use of two JSON files, related to the province and region data, largely discussed below. \n",
    "\n",
    "The COVID-19 dataset has been collecting a broad amount of data, since the beginning of the spread of the coronavirus in Italy. For this reason the gathered data, dates back to the end of February 2020 and still continues to be collected (at least as we speak, 2020-05-27).\n",
    "\n",
    "The dataset is updated daily with the new data regarding for example the national, regional and province trends. Most of the commits add new records concerning the past day.\n",
    "\n",
    "There are two major contributors to this project under the names: [Umbros](https://github.com/umbros) and [Pierluigicara](https://github.com/pierluigicara) in the department of Protezione Civile Italiana already mentioned.\n"
   ]
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   "source": [
    "## Getting started\n",
    "\n",
    "As first thing, we make sure that our system satisfies the main prerequisites required to run the following code. In order to do so, we execute the subsequent Terminal commands (recognizable by the bang symbol <code>!</code>). This commands will check, and if necessary install, a few libraries."
   ]
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     "text": [
      "/usr/bin/sh: 1: pip: not found\n",
      "/usr/bin/sh: 1: pip: not found\n",
      "/usr/bin/sh: 1: pip: not found\n",
      "/usr/bin/sh: 1: pip: not found\n",
      "/usr/bin/sh: 1: pip: not found\n",
      "/usr/bin/sh: 1: pip: not found\n"
     ]
    }
   ],
   "source": [
    "!pip install matplotlib\n",
    "!pip install networkx\n",
    "!pip install numpy\n",
    "!pip install pandas\n",
    "!pip install geopandas\n",
    "!pip install descartes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "slide_type": "subslide"
    }
   },
   "source": [
    "Importing below the required libraries used for the analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import geopandas as gpd\n",
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from shapely.geometry import Point, Polygon\n",
    "from pyproj import CRS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "slide_type": "subslide"
    }
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   "source": [
    "## Familiarizing with the dataset\n",
    "\n",
    "To conduct the analysis we will be using two JSON file that are briefly described hereunder. \n",
    "\n",
    "### Provinces JSON\n",
    "The first file taken into account can be reached at [this link](https://github.com/pcm-dpc/COVID-19/blob/master/dati-json/dpc-covid19-ita-province.json). Hereafter we will be referring at the collected data from this file as provinces data. \n",
    "\n",
    "In this file, for each record, are reported data of a province for a specific date. Every province is updated daily with new data concerning the number of total cases of coronavirus until that day. \n",
    "\n",
    "Also, each Region has a Province, called <code>In fase di definizione/aggiornamento</code>, with province code from 979 to 999, useful for indicating data not yet assigned to the Provinces.\n"
   ]
  },
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   "source": [
    "### Regions JSON\n",
    "The Regions file, on the other hand, can be found at [this other link](https://github.com/pcm-dpc/COVID-19/blob/master/dati-json/dpc-covid19-ita-regioni.json). The data drawn from the region file will be henceforth called regions data.\n",
    "\n",
    "The data collected in this file is also update daily, and it tells us new information regarding a variety of things, related to a region, for that specific day. The structure of the file is listed below:\n",
    "- ricoverati_con_sintomi\n",
    "- terapia_intensiva\n",
    "- totale_ospedalizzati\n",
    "- isolamento_domiciliare\n",
    "- totale_positivi\n",
    "- variazione_totale_positivi\n",
    "- nuovi_positivi\n",
    "- dimessi_guariti\n",
    "- deceduti\n",
    "- totale_casi\n",
    "- tamponi\n",
    "- casi_testati\n",
    "\n",
    "We also have to point out something regarding the autonomous provinces of Trento and Bolzano. This two provinces are indicated in <code>denominazione_provincia</code> and with the code 04 of Trentino Alto Adige region. "
   ]
  },
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   "source": [
    "Now that the main features from the two files have been described, is time to load the two files and get started with the assessment."
   ]
  },
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   "source": [
    "with open('./dati-json/dpc-covid19-ita-province.json') as f:\n",
    "    covid19_provinces_data = json.load(f)\n",
    "\n",
    "with open('./dati-json/dpc-covid19-ita-regioni.json') as f:\n",
    "    covid19_regions_data = json.load(f)"
   ]
  },
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   "source": [
    "## Province analysis\n",
    "\n",
    "Once the province data has been loaded we want to quickly show how the raw data appears with just a few refinements.\n",
    "The modifications adopted are the following:\n",
    "1. First is created a DataFrame <code>refined_province_data</code> in which some unnecessary columns are dropped. \n",
    "2. Morover, since inside the columm <code>denominazione_provincia</code> are present a few records labeled as <code>In fase di definizione/aggiornamento</code> that we simply discard. \n",
    "3. Lastly the <code>data</code> column has been revised so as to give it a more pleasant appearance.\n",
    "\n",
    "The result of this readjustments is reported below."
   ]
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>data</th>\n",
       "      <th>denominazione_regione</th>\n",
       "      <th>denominazione_provincia</th>\n",
       "      <th>sigla_provincia</th>\n",
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       "      <th>0</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>Chieti</td>\n",
       "      <td>CH</td>\n",
       "      <td>42.351032</td>\n",
       "      <td>14.167546</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>L'Aquila</td>\n",
       "      <td>AQ</td>\n",
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       "      <th>2</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>Pescara</td>\n",
       "      <td>PE</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>Teramo</td>\n",
       "      <td>TE</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Basilicata</td>\n",
       "      <td>Matera</td>\n",
       "      <td>MT</td>\n",
       "      <td>40.667512</td>\n",
       "      <td>16.597924</td>\n",
       "      <td>0</td>\n",
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      "text/plain": [
       "         data denominazione_regione denominazione_provincia sigla_provincia  \\\n",
       "0  2020-02-24               Abruzzo                  Chieti              CH   \n",
       "1  2020-02-24               Abruzzo                L'Aquila              AQ   \n",
       "2  2020-02-24               Abruzzo                 Pescara              PE   \n",
       "3  2020-02-24               Abruzzo                  Teramo              TE   \n",
       "5  2020-02-24            Basilicata                  Matera              MT   \n",
       "\n",
       "         lat       long  totale_casi  \n",
       "0  42.351032  14.167546            0  \n",
       "1  42.351222  13.398438            0  \n",
       "2  42.464584  14.213648            0  \n",
       "3  42.658918  13.704400            0  \n",
       "5  40.667512  16.597924            0  "
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   "source": [
    "# loding into a DataFrame the provinces data as is\n",
    "province_data = pd.DataFrame(covid19_provinces_data)\n",
    "\n",
    "# performing the few modifications listed above\n",
    "refined_province_data = province_data[province_data.denominazione_provincia!= \"In fase di definizione/aggiornamento\"].drop(columns=[\"note_it\", \"note_en\", \"codice_provincia\", \"codice_regione\", \"stato\"])\n",
    "\n",
    "# for each date value is cropped the ending, leaving only the structure year-month-day.\n",
    "# E.g. from the original date '2020-02-24T18:00:00' the result is simply '2020-02-24'\n",
    "refined_province_data['data'] = refined_province_data['data'].map(lambda a: a[:10])\n",
    "\n",
    "refined_province_data.head()"
   ]
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   "source": [
    "We can play a little bit with the appearance of our table, changing the key from which the table can be indexed. Different key choices can lead to different operations to be performed on the data. \n",
    "\n",
    "As a first approach we can think of setting the <code>data</code> column as index. The result is the following."
   ]
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>denominazione_regione</th>\n",
       "      <th>denominazione_provincia</th>\n",
       "      <th>sigla_provincia</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>totale_casi</th>\n",
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       "      <th>data</th>\n",
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       "      <th>2020-02-24</th>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>Chieti</td>\n",
       "      <td>CH</td>\n",
       "      <td>42.351032</td>\n",
       "      <td>14.167546</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>L'Aquila</td>\n",
       "      <td>AQ</td>\n",
       "      <td>42.351222</td>\n",
       "      <td>13.398438</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>Pescara</td>\n",
       "      <td>PE</td>\n",
       "      <td>42.464584</td>\n",
       "      <td>14.213648</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>Teramo</td>\n",
       "      <td>TE</td>\n",
       "      <td>42.658918</td>\n",
       "      <td>13.704400</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>Basilicata</td>\n",
       "      <td>Matera</td>\n",
       "      <td>MT</td>\n",
       "      <td>40.667512</td>\n",
       "      <td>16.597924</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "           denominazione_regione denominazione_provincia sigla_provincia  \\\n",
       "data                                                                       \n",
       "2020-02-24               Abruzzo                  Chieti              CH   \n",
       "2020-02-24               Abruzzo                L'Aquila              AQ   \n",
       "2020-02-24               Abruzzo                 Pescara              PE   \n",
       "2020-02-24               Abruzzo                  Teramo              TE   \n",
       "2020-02-24            Basilicata                  Matera              MT   \n",
       "\n",
       "                  lat       long  totale_casi  \n",
       "data                                           \n",
       "2020-02-24  42.351032  14.167546            0  \n",
       "2020-02-24  42.351222  13.398438            0  \n",
       "2020-02-24  42.464584  14.213648            0  \n",
       "2020-02-24  42.658918  13.704400            0  \n",
       "2020-02-24  40.667512  16.597924            0  "
      ]
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   "source": [
    "# creating a new table, in which \"data\" has been set as index\n",
    "refined_province_data_by_date = refined_province_data.set_index(\"data\")\n",
    "refined_province_data_by_date.head()"
   ]
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   "source": [
    "A different approch can involve having a table in which the <code>denominazione_provincia</code> has been set as index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
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   "outputs": [
    {
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       "      <th>sigla_provincia</th>\n",
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       "      <th>Chieti</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>CH</td>\n",
       "      <td>42.351032</td>\n",
       "      <td>14.167546</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L'Aquila</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>AQ</td>\n",
       "      <td>42.351222</td>\n",
       "      <td>13.398438</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pescara</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>PE</td>\n",
       "      <td>42.464584</td>\n",
       "      <td>14.213648</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Teramo</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>TE</td>\n",
       "      <td>42.658918</td>\n",
       "      <td>13.704400</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Matera</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Basilicata</td>\n",
       "      <td>MT</td>\n",
       "      <td>40.667512</td>\n",
       "      <td>16.597924</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               data denominazione_regione sigla_provincia  \\\n",
       "denominazione_provincia                                                     \n",
       "Chieti                   2020-02-24               Abruzzo              CH   \n",
       "L'Aquila                 2020-02-24               Abruzzo              AQ   \n",
       "Pescara                  2020-02-24               Abruzzo              PE   \n",
       "Teramo                   2020-02-24               Abruzzo              TE   \n",
       "Matera                   2020-02-24            Basilicata              MT   \n",
       "\n",
       "                               lat       long  totale_casi  \n",
       "denominazione_provincia                                     \n",
       "Chieti                   42.351032  14.167546            0  \n",
       "L'Aquila                 42.351222  13.398438            0  \n",
       "Pescara                  42.464584  14.213648            0  \n",
       "Teramo                   42.658918  13.704400            0  \n",
       "Matera                   40.667512  16.597924            0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# creating a new table, in which \"denominazione_provincia\" has been set as index\n",
    "refined_province_data_by_province = refined_province_data.set_index(\"denominazione_provincia\")\n",
    "refined_province_data_by_province.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "However the best way to approach this set of data is maybe having a double index involving both the cited columns.\n",
    "As outer index is kept the <code>data</code> column, that regroups day by day the different provinces, each and one of them also indexed by the <code>denominazione_provincia</code> column. \n",
    "\n",
    "The table is sorted according to the two indexes. In this way for each date (appearing from the oldest to the newest) are shown the provinces in the same alphabetical ordering. \n",
    "\n",
    "Such a table can be obtained as follow."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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></th>\n",
       "      <th>denominazione_regione</th>\n",
       "      <th>sigla_provincia</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>totale_casi</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data</th>\n",
       "      <th>denominazione_provincia</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 rowspan=\"5\" valign=\"top\">2020-02-24</th>\n",
       "      <th>Agrigento</th>\n",
       "      <td>Sicilia</td>\n",
       "      <td>AG</td>\n",
       "      <td>37.309711</td>\n",
       "      <td>13.584575</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alessandria</th>\n",
       "      <td>Piemonte</td>\n",
       "      <td>AL</td>\n",
       "      <td>44.912974</td>\n",
       "      <td>8.615401</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ancona</th>\n",
       "      <td>Marche</td>\n",
       "      <td>AN</td>\n",
       "      <td>43.616760</td>\n",
       "      <td>13.518875</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aosta</th>\n",
       "      <td>Valle d'Aosta</td>\n",
       "      <td>AO</td>\n",
       "      <td>45.737503</td>\n",
       "      <td>7.320149</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arezzo</th>\n",
       "      <td>Toscana</td>\n",
       "      <td>AR</td>\n",
       "      <td>43.466428</td>\n",
       "      <td>11.882288</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   denominazione_regione sigla_provincia  \\\n",
       "data       denominazione_provincia                                         \n",
       "2020-02-24 Agrigento                             Sicilia              AG   \n",
       "           Alessandria                          Piemonte              AL   \n",
       "           Ancona                                 Marche              AN   \n",
       "           Aosta                           Valle d'Aosta              AO   \n",
       "           Arezzo                                Toscana              AR   \n",
       "\n",
       "                                          lat       long  totale_casi  \n",
       "data       denominazione_provincia                                     \n",
       "2020-02-24 Agrigento                37.309711  13.584575            0  \n",
       "           Alessandria              44.912974   8.615401            0  \n",
       "           Ancona                   43.616760  13.518875            0  \n",
       "           Aosta                    45.737503   7.320149            0  \n",
       "           Arezzo                   43.466428  11.882288            0  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# creating a new table, in which both \"data\" and \"denominazione_provincia\" has been set as index\n",
    "refined_province_data_by_date_and_province = refined_province_data.set_index([\"data\", \"denominazione_provincia\"]).sort_index()\n",
    "refined_province_data_by_date_and_province.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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></th>\n",
       "      <th>denominazione_regione</th>\n",
       "      <th>sigla_provincia</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>totale_casi</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data</th>\n",
       "      <th>denominazione_provincia</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 rowspan=\"5\" valign=\"top\">2020-05-19</th>\n",
       "      <th>Vercelli</th>\n",
       "      <td>Piemonte</td>\n",
       "      <td>VC</td>\n",
       "      <td>45.323981</td>\n",
       "      <td>8.423234</td>\n",
       "      <td>1254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Verona</th>\n",
       "      <td>Veneto</td>\n",
       "      <td>VR</td>\n",
       "      <td>45.438390</td>\n",
       "      <td>10.993527</td>\n",
       "      <td>5040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vibo Valentia</th>\n",
       "      <td>Calabria</td>\n",
       "      <td>VV</td>\n",
       "      <td>38.676241</td>\n",
       "      <td>16.101574</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vicenza</th>\n",
       "      <td>Veneto</td>\n",
       "      <td>VI</td>\n",
       "      <td>45.547497</td>\n",
       "      <td>11.545971</td>\n",
       "      <td>2824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Viterbo</th>\n",
       "      <td>Lazio</td>\n",
       "      <td>VT</td>\n",
       "      <td>42.417383</td>\n",
       "      <td>12.104734</td>\n",
       "      <td>421</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   denominazione_regione sigla_provincia  \\\n",
       "data       denominazione_provincia                                         \n",
       "2020-05-19 Vercelli                             Piemonte              VC   \n",
       "           Verona                                 Veneto              VR   \n",
       "           Vibo Valentia                        Calabria              VV   \n",
       "           Vicenza                                Veneto              VI   \n",
       "           Viterbo                                 Lazio              VT   \n",
       "\n",
       "                                          lat       long  totale_casi  \n",
       "data       denominazione_provincia                                     \n",
       "2020-05-19 Vercelli                 45.323981   8.423234         1254  \n",
       "           Verona                   45.438390  10.993527         5040  \n",
       "           Vibo Valentia            38.676241  16.101574           81  \n",
       "           Vicenza                  45.547497  11.545971         2824  \n",
       "           Viterbo                  42.417383  12.104734          421  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "refined_province_data_by_date_and_province.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Now that our table is ready, a first assessment could be done upon the total cases of Covid-19. We simply group upon the <code>data</code> column, summing the entries inside the <code>totale_casi</code> column. The latitude and longitude columns are dropped since they are not useful in this analysis. \n",
    "\n",
    "The output of such a computation is a table in which, for each day is counted the total number of cases for the whole Italy. We could have also grouped by region obtaining the total number of cases in each region day by day, but this data will be available later on in the region data file, making this computation, redundant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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>totale_casi</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-26</th>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-27</th>\n",
       "      <td>625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-28</th>\n",
       "      <td>826</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            totale_casi\n",
       "data                   \n",
       "2020-02-24            0\n",
       "2020-02-25          312\n",
       "2020-02-26          370\n",
       "2020-02-27          625\n",
       "2020-02-28          826"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grouping by date in order to see how many cases there are day by day\n",
    "\n",
    "total_cases_by_date = refined_province_data_by_date_and_province.drop(columns=[\"lat\", \"long\"]).groupby(['data']).sum()\n",
    "total_cases_by_date.head()"
   ]
  },
  {
   "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>totale_casi</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-05-15</th>\n",
       "      <td>220641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-16</th>\n",
       "      <td>221498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-17</th>\n",
       "      <td>222165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-18</th>\n",
       "      <td>222613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-19</th>\n",
       "      <td>223415</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            totale_casi\n",
       "data                   \n",
       "2020-05-15       220641\n",
       "2020-05-16       221498\n",
       "2020-05-17       222165\n",
       "2020-05-18       222613\n",
       "2020-05-19       223415"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_cases_by_date.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "This new <code>total_cases_by_date</code> table, gives us a nice idea of the trend of the new cases. But of course a graph is capable of providing a much more powerful feedback upon the data, compared to a table. \n",
    "\n",
    "In the following graph are shown the total number of cases from the end of February to the end of May. The x-axis is used to represent the passing of days. Not all ticks labels are visible due to the fact that this would have made unreadable the graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting a graph showing day by day the number of total cases in Italy\n",
    "\n",
    "# changing the dates for better readability \n",
    "# E.g. from the date '2020-05-17' the part involving the year is removed, leaving '05-17' as date\n",
    "total_cases_by_date.rename(index=lambda s: s[5:], inplace=True)\n",
    "\n",
    "ax = total_cases_by_date.plot(lw=2, title=\"Total cases in Italy by date\", kind=\"bar\")\n",
    "ax.set_xlabel(\"date\")\n",
    "\n",
    "# sampling the dates on the ticks labels (printing a date label every 5 days)\n",
    "xticks = ax.xaxis.get_major_ticks()\n",
    "for i in range(len(xticks)):\n",
    "    if i % 5 != 0:\n",
    "        xticks[i].set_visible(False)\n",
    "\n",
    "# set font and rotation for date tick labels\n",
    "plt.gcf().autofmt_xdate()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Another data that can be single out from the provinces data, is the number of cases in each province up to this moment.\n",
    "For each province is located the max value of <code>totale_casi</code>, that is the number of cases in that province, up to now.\n",
    "\n",
    "With no surprises the maximum number in the total cases in each province is from the last date available, since the number of <code>totale_casi</code>, is incremented each day. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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>data</th>\n",
       "      <th>denominazione_regione</th>\n",
       "      <th>denominazione_provincia</th>\n",
       "      <th>totale_casi</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sigla_provincia</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AG</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>Sicilia</td>\n",
       "      <td>Agrigento</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>Piemonte</td>\n",
       "      <td>Alessandria</td>\n",
       "      <td>3807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AN</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>Marche</td>\n",
       "      <td>Ancona</td>\n",
       "      <td>1867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AO</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>Valle d'Aosta</td>\n",
       "      <td>Aosta</td>\n",
       "      <td>1175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AP</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>Marche</td>\n",
       "      <td>Ascoli Piceno</td>\n",
       "      <td>290</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       data denominazione_regione denominazione_provincia  \\\n",
       "sigla_provincia                                                             \n",
       "AG               2020-05-19               Sicilia               Agrigento   \n",
       "AL               2020-05-19              Piemonte             Alessandria   \n",
       "AN               2020-05-19                Marche                  Ancona   \n",
       "AO               2020-05-19         Valle d'Aosta                   Aosta   \n",
       "AP               2020-05-19                Marche           Ascoli Piceno   \n",
       "\n",
       "                 totale_casi  \n",
       "sigla_provincia               \n",
       "AG                       141  \n",
       "AL                      3807  \n",
       "AN                      1867  \n",
       "AO                      1175  \n",
       "AP                       290  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_cases_per_province = refined_province_data.drop(columns=[\"lat\", \"long\"]).groupby(['sigla_provincia']).max()\n",
    "max_cases_per_province.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "As done before, a result obtained in a table can be presented with a graph. In order to keep simple the appearence of the graph, and avoid it to become excessively messy, only the top 15 provinces with most cases are shown. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Top 15 provinces with most cases')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Showing the top 15 provinces with the highest value on 'totale_casi'\n",
    "\n",
    "max_cases_per_province.groupby(['sigla_provincia']).max().nlargest(15, 'totale_casi').plot(kind=\"bar\")\n",
    "plt.title(\"Top 15 provinces with most cases\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "We could also be interested, in knowing the evolution of the distribution of total cases in the various provinces. Keeping this in mind we can collect the number of cases of each province per month and plot a pie chart to help us visualize that. \n",
    "\n",
    "As said before, in order to keep the view as clean as possible, we only enclose the provinces with most cases in the plot. \n",
    "\n",
    "As first thing is prepared the table that displays the number of cases of coronavirus per month, for each province. During this analysis are only taken into account the three months of March, April and May."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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>data</th>\n",
       "      <th>2020-03</th>\n",
       "      <th>2020-04</th>\n",
       "      <th>2020-05</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AG</th>\n",
       "      <td>94</td>\n",
       "      <td>135</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL</th>\n",
       "      <td>1317</td>\n",
       "      <td>3417</td>\n",
       "      <td>3807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AN</th>\n",
       "      <td>1116</td>\n",
       "      <td>1810</td>\n",
       "      <td>1867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AO</th>\n",
       "      <td>628</td>\n",
       "      <td>1128</td>\n",
       "      <td>1175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AP</th>\n",
       "      <td>222</td>\n",
       "      <td>281</td>\n",
       "      <td>290</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "data  2020-03  2020-04  2020-05\n",
       "AG         94      135      141\n",
       "AL       1317     3417     3807\n",
       "AN       1116     1810     1867\n",
       "AO        628     1128     1175\n",
       "AP        222      281      290"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# creating a table with key the column sigla_provincia and data\n",
    "sigla_provincia_table = refined_province_data.set_index([\"sigla_provincia\",\"data\"])\n",
    "\n",
    "# Get the provinces name in terms of sigla_provincia\n",
    "provinces = refined_province_data.set_index(\"sigla_provincia\").index.unique(level=0)\n",
    "\n",
    "# Create a DataFrame with total cases per month for each province\n",
    "cases_per_month = {}\n",
    "\n",
    "# iterating through the provinces and setting the max cases per month in the proper dictionary\n",
    "for province in provinces: \n",
    "    province_info = sigla_provincia_table.loc[province]\n",
    "    # The 'groupby(province_info.data.str[:7]' is used to group the rows according to the month\n",
    "    # The [:7] is used to slice the first 7 letters of the 'data' column\n",
    "    # 2020-05-15 ---> 2020-05\n",
    "    # And finally we take the max from 'totale_casi' per each province, each month\n",
    "    cases_per_month[province] = pd.Series(province_info.groupby(province_info.index.str[:7])['totale_casi'].max())\n",
    "\n",
    "# Create the DataFrame using the Series defined in the for loop\n",
    "cpm = pd.DataFrame(cases_per_month)\n",
    "cpm = cpm.T # For a better view\n",
    "\n",
    "# the February column is not of our interest. The data collected during this month is not enough to obtain a proper\n",
    "# analysis \n",
    "cpm = cpm.drop(columns=['2020-02'])\n",
    "cmp = cpm.sort_index()\n",
    "\n",
    "# showing below the new table of cases per month.\n",
    "cmp.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Now that the table is ready we can plot the result in two different ways: with a bar chart, and a pie chart. While on both cases, we are showing the total cases for the months considered, per province, in the first case we show a more quantitative result.\n",
    "\n",
    "The pie charts express more the comparison between provinces for the number of total cases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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uewTTRO3m19qtVV29b6J29Nhmd7slZObxmbllZm45c+bMsZpJkqYp84QkaTzmCUmanL4KUhGxEvBdYEvg5Zl5WVeTOSyez6luC+DazLy71m6TiFitR7sHWDxn1BxgFeBxPdoBXFFrR4++u9tJkiRJkiRpRExYkIqIFYBvANsAr8zMC3s0Ox3YICJeXFtvTWCn6rGOM4CVgNfW2s0AdgXOzsz7q8VnUa7Gt1tXP7sDl2fm3Or+BcCtY7SbD/xqoucnSZIkSZKkZs3oo80XKAWkI4F7IuK5tceuq07dO51SHDo5Ij5AOZXuQCCAT3YaZ+YlEXEK8Jlq1NVcYB9gE2pFpcy8OSI+BRwYEXcBF1OKVtsAO9faLYiIjwDHRsRfgXOqNnsC+2bmA0v1akiSJEmSJGno+ilIbV/9PKi61X0MODQzF0XEjsDRwLHAqpQC1daZ+ZeudfagFLeOANYCLgW2y8yLu9odBNwNvAdYH7gSeF1m/rDeKDO/FBEJ7Ad8ALgWeFdmHtvHc5MkSZIkSVLDJixIZeasfjaUmfMpI5P2nKDdvcD7q9t47RZSilZH9NH3ccBx/cQpSZIkSZKkdvUzQkqSJI1j1gFnTmr9ebN3GFAkkiRJ0tTQ11X2JEmSJEmSpEGxICVJkiRJkqRGWZCSJEmSJElSoyxISZIkSZIkqVEWpCRJkiRJktQoC1KSJEmSJElqlAUpSZIkSZIkNcqClCRJkiRJkhplQUqSJEmSJEmNsiAlSZIkSZKkRlmQkiRJkiRJUqMsSEmSJEmSJKlRFqQkSZIkSZLUKAtSkiRJkiRJapQFKUmSJEmSJDXKgpQkSZIkSZIaZUFKkiRJkiRJjbIgJUmSJEmSpEZZkJIkSZIkSVKjLEhJkiRJkiSpURakJEmSJEmS1CgLUpIkSZIkSWqUBSlJkiRJkiQ1yoKUJEmSJEmSGmVBSpIkSZIkSY2yICVJkiRJkqRGWZCSJEmSJElSoyxISZIkSZIkqVEWpCRJkiRJktQoC1KSJEmSJElqlAUpSZIkSZIkNcqClCRJkiRJkhplQUqSJEmSJEmNsiAlSZIkSZKkRlmQkiRJkiRJUqMsSEmSJEmSJKlRFqQkSZIkSZLUKAtSkiRJkiRJapQFKUmSJEmSJDXKgpQkSZIkSZIaZUFKkiRJkiRJjbIgJUmSJEmSpEZZkJIkSZIkSVKjLEhJkiRJkiSpUX0VpCLiHyPicxFxQUT8PSIyImb1aJdj3J7e1W6FiDgwIuZFxH0RcWlE7DJG33tFxJ8i4v6IuDIi3jFGu1dGxCXV9q6JiIMjYsV+np8kSZIkSZKa0+8Iqc2A1wG3Ab+YoO1Xged13f7c1eZw4FDg88D2wIXAqRHx8nqjiNgLOA74HrAdcCpwbETs09Vu26rNb6vtHQMcDHy8z+cnSZIkSZKkhszos935mfkYgIh4G/Cycdr+NTMvHOvBiFgP2B+YnZlHV4vPjYjNgNnAj6p2M4AjgZMy86Bau8cCh0fECZm5oFo+G/hlZu5da7c6cHBEfDozb+zzeUqSJEmSJGnI+hohlZmLBtjntsDKwMldy08GnhIRm1T3nwfM7NHuJODRwAsAImJD4OljtFuJMmJKkiRJkiRJI6LfEVJLY5+I+ACwkHIq3kczs36a35OB+4GrutabU/3cAphbtQO4fJx2547VLjPnRsTfq3aSJEmSNG3NOuDMSa0/b/YOA4pEkopBX2XvZOCdwEuBvSkjmX4WEVvV2qwD3J6Z2bXu/Nrj9Z+3LWO7zrJ1eiwnIvaOiIsi4qJbbrml97ORJE1b5glJ0njME5I0OQMtSGXmGzPzlMz8RWaeTDmt7nrgiEH2MwiZeXxmbpmZW86cObPtcCRJI8Y8IUkaj3lCkiZn0COkHiYz7wLOBJ5VW3wbsFZERFfzzkim+bV2AGsvY7vOsvk9lkuSJEmSJKklQy1I1dRPz5sDrAI8rqtNZ66nK2rtYPEcUUvVLiJmAavV2kmSJEmSJGkEDLUgFRFrAjsCv6ktPgtYAOzW1Xx34PLMnFvdvwC4dYx284FfAWTmtcClY7RbAPx4cs9CkiRJkiRJg9T3VfYi4jXVr8+sfm4fEbcAt2TmeRGxP7A55cp31wMbA/sD61MrFmXmzRHxKeDAiLgLuBjYFdgG2LnWbkFEfAQ4NiL+CpxTtdkT2DczH6iF92HghxFxHPAt4BnAwcAxmXljv89RkiRJkiRJw9d3QQo4tev+sdXP84CtgCuBV1W3RwF3UkYxvTUzf9O17kHA3cB7KAWrK4HXZeYP640y80sRkcB+wAeAa4F3ZeaxXe1+VBXMPgq8BbgJ+Dhw5FI8P0mSJEmSJDWg74JUZnZPQt79+BnAGX1uayHlynsTXn0vM48Djuuj3WnAaf30L0mSJEmSpPY0Nam5JEmSJEmSBFiQkiRJkiRJUsOWZg4pSZIkSZKWyawDzpzU+vNm7zCgSCSNAkdISZIkSZIkqVEWpCRJkiRJktQoC1KSJEmSJElqlAUpSZIkSZIkNcqClCRJkiRJkhplQUqSJEmSJEmNsiAlSZIkSZKkRlmQkiRJkiRJUqMsSEmSJEmSJKlRFqQkSZIkSZLUKAtSkiRJkiRJapQFKUmSJEmSJDVqRtsBSJKkyZt1wJmTWn/e7B0GFIkkSZI0MUdISZIkSZIkqVGOkJIkSQPhKC1JkiT1yxFSkiRJkiRJapQFKUmSJEmSJDXKU/YkSZIkScu9yZ5aDp5eLg2SI6QkSZIkSZLUKAtSkiRJkiRJapQFKUmSJEmSJDXKgpQkSZIkSZIaZUFKkiRJkiRJjbIgJUmSJEmSpEZZkJIkSZIkSVKjLEhJkiRJkiSpURakJEmSJEmS1CgLUpIkSZIkSWqUBSlJkiRJkiQ1yoKUJEmSJEmSGmVBSpIkSZIkSY2yICVJkiRJkqRGzWg7AEmSpEGZdcCZk1p/3uwdBhSJJEmSxuMIKUmSJEmSJDXKgpQkSZIkSZIaZUFKkiRJkiRJjbIgJUmSJEmSpEZZkJIkSZIkSVKjLEhJkiRJkiSpURakJEmSJEmS1CgLUpIkSZIkSWqUBSlJkiRJkiQ1qq+CVET8Y0R8LiIuiIi/R0RGxKwe7VaNiKMi4oaIuLdq/6Ie7VaIiAMjYl5E3BcRl0bELmP0vVdE/Cki7o+IKyPiHWO0e2VEXFJt75qIODgiVuzn+UmSJEmSJKk5/Y6Q2gx4HXAb8Itx2p0I7AUcAuwI3AD8JCKe3tXucOBQ4PPA9sCFwKkR8fJ6o4jYCzgO+B6wHXAqcGxE7NPVbtuqzW+r7R0DHAx8vM/nJ0mSJEmSpIbM6LPd+Zn5GICIeBvwsu4GEfE04A3Anpn5lWrZecAc4DBg52rZesD+wOzMPLpa/dyI2AyYDfyoajcDOBI4KTMPqrV7LHB4RJyQmQuq5bOBX2bm3rV2qwMHR8SnM/PGPp+nJEmSJEmShqyvEVKZuaiPZjsDC4BTaus9CHwb2DYiVqkWbwusDJzctf7JwFMiYpPq/vOAmT3anQQ8GngBQERsCDx9jHYrUUZMSZIkSZIkaUQMclLzJwNzM/PvXcvnUApQm9Xa3Q9c1aMdwBa1dgCXL0u7zJwL/L3WTpIkSZIkSSNgkAWpdShzTHWbX3u88/P2zMw+2tFjm/226yxbp8dyImLviLgoIi665ZZbejWRJE1j5glJ0njME5I0OYMsSE0pmXl8Zm6ZmVvOnDmz7XAkSSPGPCFJGo95QpImZ5AFqduAtXss74xQml9rt1ZERB/t6LHNftt1ls3vsVySJEmSJEktGWRBag6wSUSs1rV8C+ABFs8ZNQdYBXhcj3YAV9TaweI5opaqXUTMAlartZMkSZIkSdIIGGRB6gzKVe1e21kQETOAXYGzM/P+avFZlKvx7da1/u7A5dVk5AAXALeO0W4+8CuAzLwWuHSMdguAHy/7U5IkSZIkSdKgzei3YUS8pvr1mdXP7SPiFuCWzDwvMy+JiFOAz0TESsBcYB9gE2rFosy8OSI+BRwYEXcBF1OKVtsAO9faLYiIjwDHRsRfgXOqNnsC+2bmA7XwPgz8MCKOA74FPAM4GDgmM2/s9zlKkiRJkiRp+PouSAGndt0/tvp5HrBV9fsewJHAEcBalJFL22XmxV3rHgTcDbwHWB+4EnhdZv6w3igzvxQRCewHfAC4FnhXZh7b1e5HVcHso8BbgJuAj1exSJIkSZIkaYT0XZDKzO5JyHu1uRd4f3Ubr91CStHqiD62eRxwXB/tTgNOm6idJEmSJEmS2jXIOaQkSZIkSZKkCVmQkiRJkiRJUqMsSEmSJEmSJKlRFqQkSZIkSZLUKAtSkiRJkiRJalTfV9mbzmYdcOaktzFv9g4DiESSJEmSJGnqsyA1RUy2KGZBTJIkSZIkjQpP2ZMkSZIkSVKjLEhJkiRJkiSpURakJEmSJEmS1CgLUpIkSZIkSWqUk5qrb06sLkmSJEmSBsERUpIkSZIkSWqUBSlJkiRJkiQ1yoKUJEmSJEmSGmVBSpIkSZIkSY2yICVJkiRJkqRGWZCSJEmSJElSoyxISZIkSZIkqVEWpCRJkiRJktQoC1KSJEmSJElqlAUpSZIkSZIkNcqClCRJkiRJkhplQUqSJEmSJEmNsiAlSZIkSZKkRlmQkiRJkiRJUqMsSEmSJEmSJKlRFqQkSZIkSZLUKAtSkiRJkiRJapQFKUmSJEmSJDXKgpQkSZIkSZIaZUFKkiRJkiRJjbIgJUmSJEmSpEZZkJIkSZIkSVKjLEhJkiRJkiSpUTPaDkCSJEmSpOlg1gFnTnob82bvMIBIpPY5QkqSJEmSJEmNsiAlSZIkSZKkRnnKniRJ0oB4KoYkSVJ/HCElSZIkSZKkRlmQkiRJkiRJUqMsSEmSJEmSJKlRFqQkSZIkSZLUKAtSkiRJkiRJapQFKUmSJEmSJDVqxiA3FhFbAef2eOiOzFyr1m5t4CjglcAjgAuA92XmZV3bWxU4HNgdWAv4PfChzDy/q90KwIeAtwPrA1cCh2Xm9wbzzCRJkiRJmvpmHXDmpNafN3uHAUWi6W6gBamadwO/rd1/sPNLRARwBjAL2Be4DTgQODcinp6Z19XWOxHYAfgAcDXw78BPIuJ5mfn7WrvDgf2Bg4DfAa8HTo2IHTPzRwN+bpIkSZIkaRlZFBMMryD1x8y8cIzHdgaeD2yTmecCRMQFwFzgg5RiFhHxNOANwJ6Z+ZVq2XnAHOCwajtExHqUYtTszDy66uPciNgMmA1YkJIkSZIkSQ+xKNa+NuaQ2hm4vlOMAsjMOyijpl7R1W4BcEqt3YPAt4FtI2KVavG2wMrAyV39nAw8JSI2GfgzkCRJkiRJ0jIbVkHqGxGxMCL+FhHfjIiNao89Gbi8xzpzgI0iYvVau7mZ+fce7VYGNqu1ux+4qkc7gC2W9UlIkiRJkiRp8AZ9yt4dwH8C5wF3As8APgxcEBHPyMybgXWAeT3WnV/9XBu4u2p32zjt1qn9vD0zc4J2DxMRewN7A2y00Ua9mkiSpjHzhCRpPOYJSZPV9mmDk+1/sjEMdIRUZl6Smftn5hmZeV5mfgbYDngM1dxQoyIzj8/MLTNzy5kzZ7YdjiRpxJgnJEnjMU9I0uQMfQ6pzLwY+DPwrGrRbZRRUN3WqT3eT7v5tXZrVVfvG6+dJEmSJEmSRsCwrrLXS+eUujnAy3o8vgVwbWbeXWv3qohYrWseqS2AB1g8Z9QcYBXgcTx8HqnO3FFXDCB2SZKkKaHt4feSJEn9GHpBKiK2BDYHvlstOh3YIyJenJnnVW3WBHYCvllb9QzgY8Brga9V7WYAuwJnZ+b9VbuzKFfj261q37E7cHlmzh3G85IkSVJvbc+JYQySJI2+gRakIuIbwFzgYuB2yqTmBwJ/BT5bNTsduAA4OSI+QDnl7kAggE92tpWZl0TEKcBnImKlarv7AJtQik+ddjdHxKeAAyPirqrvXYFtgJ0H+fwkSZKkqcLRcpKkUTboEVKXA/8G7AusBtwInAZ8NDNvBcjMRRGxI3A0cCywKqVAtXVm/qVre3sARwJHAGsBlwLbVfNS1R1EuTLfe4D1gSuB12XmDwf8/CRJkiRJkjRJAy1IZeYngE/00W4+sGd1G6/dvaAoBtMAABigSURBVMD7q9t47RZSilZH9B2spiSHvkuSJEmSNPUN/Sp7kiRJkiRJUp0FKUmSJEmSJDXKgpQkSZIkSZIaZUFKkiRJkiRJjbIgJUmSJEmSpEZZkJIkSZIkSVKjZrQdgDSVzDrgzElvY97sHQYQiSRJkiRJU5cjpCRJkiRJktQoC1KSJEmSJElqlAUpSZIkSZIkNcqClCRJkiRJkhplQUqSJEmSJEmNsiAlSZIkSZKkRlmQkiRJkiRJUqMsSEmSJEmSJKlRFqQkSZIkSZLUKAtSkiRJkiRJapQFKUmSJEmSJDXKgpQkSZIkSZIaZUFKkiRJkiRJjZrRdgCSls6sA86c9Dbmzd5hAJFIkiRJkrRsHCElSZIkSZKkRjlCStJSc5SWJEmSJGkyHCElSZIkSZKkRjlCStKUNNlRWoMYoTUKMUiSJEnSVGRBSpKmMItikiRJkqYiT9mTJEmSJElSoyxISZIkSZIkqVEWpCRJkiRJktQoC1KSJEmSJElqlAUpSZIkSZIkNcqClCRJkiRJkhplQUqSJEmSJEmNsiAlSZIkSZKkRlmQkiRJkiRJUqMsSEmSJEmSJKlRFqQkSZIkSZLUKAtSkiRJkiRJapQFKUmSJEmSJDXKgpQkSZIkSZIaZUFKkiRJkiRJjbIgJUmSJEmSpEZZkJIkSZIkSVKjLEhJkiRJkiSpURakJEmSJEmS1KjlpiAVERtGxHcj4o6IuDMiTouIjdqOS5IkSZIkSQ+3XBSkImI14GfAE4E3A28EHg+cGxGPbDM2SZIkSZIkPdyMtgMYkL2ATYHNM/MqgIj4A/C/wNuBT7UYmyRJkiRJkmqWixFSwM7AhZ1iFEBmzgV+BbyitagkSZIkSZK0hOWlIPVk4PIey+cAWzQciyRJkiRJksYRmdl2DJMWEQ8An8rMA7qWHwEckJlLnJoYEXsDe1d3NweunEQI6wK3TmL9QTAGYxiV/o1h+Yph48ycOahgphLzhDEsxzG03b8xLF8xmCcK84QxLC/9G4MxDDqGMfPEtC1IDbj/izJzy2H2YQzGMFX6NwZj0JJG4X0wBmMYlf6NwRi0pFF4H4xhNGJou39jMIYmY1heTtm7DVi7x/J1qsckSZIkSZI0IpaXgtQcyjxS3bYArmg4FkmSJEmSJI1jeSlInQ48NyI27SyIiFnA86vHhu34BvqYiDEUxtB+/2AMHcagjlF4H4yhMIb2+wdj6DAGdYzC+2AMRdsxtN0/GEOHMRRDi2F5mUPqkcClwL3AwUAChwNrAE/NzLtbDE+SJEmSJEk1y8UIqcy8B9gG+DNwEvANYC6wjcUoSZIkSZKk0bJcjJCSJEmSJEnS1LFcjJCSJEmSJEnS1DGj7QCkZRER6wMvBjasFv0FOC8zb2wvKkkaDe4jJUljMUdIGhWOkNKUEhGrR8SJwLXAt4BPVrdvAddGxJcjYs02Y+yIiPUj4tNtxyFp+phK+0iZJ0ZFRKwSEe9pO45hiYidI+JRXcvWiYgVupatHxHvbzY6NckcMfUsz3nCfdPUMqxc6RxSmjIiYlXgPOBpwInA6cC86uFZwCuAPYE/AC/KzPuGHM96wEbAvMy8tbZ8A+AA4K3ASpm50jDjmM6qf5ruygl2ZBGxGvDEzLy4mcja41HP6WvU9pEyT4ySiFgX+Fs9X0TEI4B3AvsBj8nMFYfUd6u5KiIWAs/LzN9U91cEHgCeVe8rIp4D/HpYr4PaZY4YTdM5T7hvWiwiXpSZ549AHI3nSk/Z61N3pXYimbloCDGsCuwLXJaZZ9Xi+nlX0zuBV2fmA0OI4XHAFpl5RtfybYDZwBbADcBRmXn8gLt/H/Ak4AWZeVHXY1cCP4mIrwDnVG0/MeD+AYiItYCvATtWixZGxKcz80MRcTBwILAq8D3gkGHEUMXxDMpz3TMzfzBGm1cAXwZenJmXDymOzSmJ8vLq/kzg/cBTgZuBL2Xm/wyjb+A24HlAJ5GtAPwe2DUz/1hr9xTg18DQEllEPBN4N/B84B+ApPwt/AL4bGb+flh9V/2vDhwDvJEl9+0PRsTJwHsz885hxjGdjUCeGJV9ZJt5otNXq/lyFPJEROy5NO0z88vDiKOKpZU8ERGrUEZ/7AmsBtwREQdl5hcjYnfgKOAxwG+BNw+6/5q2c1X0uUxD1nKeGIkcAeaJqi/zxIjtm1r+TvPziJgHfB04KTP/b0j9LKH1XJmZ3vq4AYuAhX3eHhxSDPsAfwdm1ZatWMV2EXBudZsP7D2kGL4K/Kpr2eZVXHdRdpqXVa/Dqwbc9x+Aj/TR7hDgD0P8LHwBWAAcD7wD+A/gDsqRpkXAz4CnNfCZPBH4WR/tzgaOH0L/jwUurn3uLwU2Aa6q7t9U/bwfeOaQXoNFwLNr9zt/D//c1e45wMIhvhfvqD4T9wG/BL5JGf7+y2rZAuBtQ+x/VeB/qr6+AGxb/V1uXv1+bPXYb4BVh/3ZnK63tvPECO0jW8sTtf5azZejkCe6Po+LJrgNZf/Ydp4Ajqye39mUL7mnUI6+f65a/idgp2G+D7X3orVc1Xb/3pZ4L1rJE6OSI6o+zBPmiZHZN7Wdq6oY3koZwdiJ4RfA24A1h/kZqPpuNVc6Qqp/h1FGPLTp1ZSK6bwej+2d1dDGiDgUeA1lBzdozwGO61r2LmBl4F8y8zfV0YWzquX/PcC+Hwf0M5TxfOBDA+y3247A7Mz8SGdBRFwAnAZ8OzPfMMS+67YGDu+j3TcYzpGVwygjgfam/PNwIPBDSuL+l8y8OSL+oVp2CGUo+HInIrYAPgt8H3hnZt7S9fh6lILQ5yPiV/nwo+GDMjJHPae5tvPEqOwj28wTHW3ny1HJE3cD3wVOAuY21Gdd23liV+DYzHxXZ0E1IuAE4KeUf7AHPppcGkebeWJUcgSYJ8A8MUrazlVk5onAiRGxMfAmYDfKZ+6zEfF9ysips3MIZ2HRdq4cdsXN20CrlzfTdZSAHpVk4OXATUOK4Q5g265lVwG/7Vr2Osr5p4Ps+zZg+z7abQ/cPsT3YQGwVdey1av3YesGPw/3AS/so90LgfuG0P88YK/a/WdWr8EuXe3+DbhuSK9B60dWKMWoPwArjtNmRtXmmCHFMDJHPb21dxuhfWRreaK27Vbz5SjkCWBj4CPAn4EHKUde9wTWaKL/KoZW8wTlaPZLupatVcWw7aD7GycOR0h5a/02Kjmi6sM8YZ4YmX1T27lqnLieSzmofWsVz/WUU+ueMuB+Ws2VjpDqU3VOc98y82dDCGMtys6z3s/CiPg3oH6e6R1V22EIyjDCcqeM/tiU8qW87nrKTnWQLqUczfjxBO12oczNMCwrUob41t1b/bxjiP12u5f+XuPVKcWrQdsAuKJ2f07185qudvOA9YfQ/6h4IfDlzFw4VoPMfLAaofTGIcUwSkc9p60RyBOjso9sM090tJ0vW88TmXkNZRTt4RHxL5QjrkcBn4uI0ylHW3+Swzna2tF2nliJcrS7rnP/FqaXvSOiM1dNUEbp7BMRN9TabNB8WNNLy3liVHIEmCfAPNExCvumtnNVT5l5IXBhdWW7HSjvz36Uea0GWcdpNVdakOrfOSweYjvWZGvJ4j+kYUyefAew3hKdZp7StWg9ygR8w3A1pUp9TnX/XynP99weMdzKYH0J+EZEXJqZn+/VICL2Bd4C7D7gvrttWU0i3bEC5XV4VjVJ4UOGVJyEsrN8CRP/Y/FSYBgTmq9IObrT0fm9O2ktYrgTFNbfi7Hehy2G2P/G9Pf6XkY5H30YHqBMQjiRR/Dw90yD1XaeGJV9ZJt5omMU8uUo5InO9n8N/Doi3g3sRJmU9HTgVGCYp4WMQp7YICI27Yqps/z2esPMvHpIMUD7uarX5MVv7bGs7ekplndt5olRyRFgnugwT4zGvmkUctV4NqRcHfOpVf/dxaNBaC1XWpBaOp1J9r4H3NNC/5dQzjee6DzqHRnekY2vAR+LiDsoE7wdTkkUZ3e12wr430F2nJnfjoitKefS7g2cwcMvV7sT8GTgK5n57UH23UPPRA58sfo57OIklImzj4qI72R1udRuEfFc4O3AB4YUwwq1K8as2GNZffmwfI4lk8MXa7/X34thWJP+/lG5C1hjSDGM0lHP6a61PDFC+8jW8kTNKOTLUcgT3dahfBY2rvoc1he9urbzxHfHWP79HsuGGUdruSozl+rKbhq6VvLECOUIME90TOs8MWL7prZz1cNUBcldKWdXPI/yGTiHcorlMOZUay1XWpDq31aUSvFrgNdSPghfG3a1ustXga9GxA8y8/ReDSLiFZQP7luGFMMXKKcodYbU3gnslpmdIaZExGqUc2yPGXTnmfn2asK/D1ImnKu7knL+79AuXV3Zesjb79fxwOuB8yLieMo/Fp2hpRtT/rHYm3L1taFcMhf4VY9lw7ocai+j8F50jmb1Y1hHVUbpqOd0thUt54kR2Ue2micqX6XdfDkK+yYAIuIRlIL1GykjZv8KnAy8LjOvbCCENvPEHg31M5GR+TzUdX3RAsisJg/R0GxFi3liRHIEmCdghPYLI5AnuuNpY9/U9ncaImIG5dS8N1Y/VwH+SPlbPTkzrx9S163myjDvLJ2IWJWH/8HeQLmK2ddzOFfP6u7/e5SZ/U8HzgSurR7aiFLB3wk4PTNfPeQ4NqFU0P+Umfd0PfZI4InAVZk5tHOgq6sdbFjdvW6If6Td/a5A2UnMzcyep2pFxFMol5E9Y8ixrEZJ5m+iFJjrf9CLKMn2vd3v0YD6/ujStM/Mjw06hn5FxCrAOzJz4P/URMQiygiliYbPrgE8NTOHcnQlIo4D9qKcPjjeUc+3DaN/LdZ2nqjF0co+stZ/q3mizXw5CnkiIl5K+Qy+ipIbTqN8BrtPiRmatvNERHwZ+Gpm9jPHXuuGlasiYn3gROCUzPx6taxzikr9/4a7gSdk5k2D7F9LGoU80XaOqGIwT0zjPDEq+6a2c1UVw+cpI6IeTbm637coxeruq2cPXNu50oLUJFQ78jdQigH/BHwxa5dLHFKfK1KG6r2XcqpQ/Tz0OylHEQ4bb4LlAcSwBvAvlAnQfp6Zd0fE5sChlHNbbwE+m5mnDbjfqylXw7h0kNtdhjjeRLniwVMyc+4YbWZR5gzaOzO/1UBMGwHPZ/E/Fn+hvDc3jL3W8iUi1qVciSVryx4BvJMyAeBjhlEMioifsxSnWGTm0I6IRcRbKJOWb9710JXAUQ0d9VRNk3liVPaRVSyt5ImuGFrLl6OQJ6pi+Z2ULxinseTkuQ/T8IjvRkTEPcCqlC+ZX6dc4v2qlmNqPFdFxGGUAxabdkag1L70/Rdl4uigfBn6dpsHkKajpvLEKOUIME+YJ9w31UXE/cCPKKez/hK4OzOHcVGqXn23mistSE1CRKxMqZy/iVLhPiUzd2uw7y2Bf6wWXUe5VOpQJyyOiCdQzl/dgLKDuJHyGvy4un815Ypfa1MuE3nOGJtalr4XAc8da76kpkTE2cCVmbnvBO2OATbPzO2GFEcnib6HkkQXUkbGvDUzbx9v3QH13/YVxTpHkz9JmRBxNcoElQdl5hcjYnfKlUIeA/wWODgzfzroGLriWZcGE8g4cbR+1FNFk3lihPaRreWJMeJpPF+OQp6oPg8d9X/2omt5UE6HGEbBvtU8EWWy4NdS/v5eVC2+kDJ6+DvDHMXdFUeruSoifgOclZmH1JatSLkgxrMy8+Jq2b8Db8rM5wyyf42vqTwxKjmiisU8YZ4YmX1T27mqimFdYF/g3TT8va7tXOkcUssgIp5PGd74Wsq5nT+gJJChftmt+u4cTZgBnJeZv64fTYiIm4HPDfFowuHAfcDLKKcofZwy2dklwCsy877qNLIfAgew+OoZy5N/pkxOOpFzgGEWKN8BHAL8nPJP7KaUIbd30sy5wG1fUQzK89+3iuViYBPgmIjYAvh34M+Uo0pDO3WyGnJ9CLXCYEQ0VhisYhgvkT4xIp5YX7A8joQYNW3miREwEnmi5Xw5CnliFOYnaTVPZObdwFeAr0TEhpS/yd2B4yi54nTK0ehhX9a87Vy1eRVDt+735M8sOcJWQ2KeME9gnhiVfdMofKfZlTLQ4Oc0/L2u9VyZmd76uAGbAR8D/o9SsTyX8uFYvcEYnkAZSreQMj/Q9cAzgZspw1r/h3IlhIXAS4cUw3XA7rX7T6pi2amr3auAGwfc9yJKtbztz8L9wAv6aPcC4P4hxvF74LiuZW+nDHNduYHXYRFwO+Xc75cDLx7vNqQYrgI+37Vszyq2nzT0Ovx71d/PgP+gXB73Qcp8TU19JhdVf/edfcOi2rLu3xc2Fdd0u7WdJ0ZoH9lanqhtu9V8OSp5os9YVwHeM6Rtt54nxojr2ZSrW91cfQZuAI4eYn+t5qqxPo+UUVkr1u6/ELivqfdhOt7azBOjkiOqWMwT5omR2TeNQq6i5e91Y8TUSK70lL0+dZ1jexKLr2bWU2ZePYQYTgGeAezD4qMJmwNXsOTRhEWZ+dIhxPAg8MLMvKC6vzLlCMezMvN3tXbPBX6VAxzaWb0HZ9Hf5UczM988qL674vgr8MHM/MYE7d5AmbdngyHFcSfw6qwNY45yidD5lKG9w7pMbqevF7H4SjFBC1cUq863fnlm/r/ass5rsH1m/qSBGH4P/E9mvr227O2UHfgjM/OBBmLo7J/6uox0Zp437Jimo7bzxAjtI1vLE7Vtt5ovRyVP1Pppa4691vPEeCJiJeATwPsAhvEaVP20mqsi4i+UUwS/PkG7NwFHZuaG47XTsmszT4xKjqhiMU+YJ0Zm3zQKuart73UTxDbcXNlGtW0q3lhy1MG4tyHFMApHExYBz67dX7Fa9s9d7Z4z6NeBxUcv5vZxu3qIn4VTgLP7aHc2ZR6AYX4mn921rOf7McwbZRK8N1DO+19AOdr0CeBJDfTd+mtA+cfypV3L1qpieHxDMbyIclTnjiqerwHbNPUZ8PbQ+9BqnhihfWRreaK27Vbz5SjkCcoR7WMoX7QWUv6p3ad6bHfKkc5FlFEA/zqsz0PVX2t5Yox4NgMOo8xT0zkyfvwQ+2s1V1Gu1vTTPtqdQ5k4uPH3ZLrc2swTo5IjarGYJ6Z5nhi1fVObuartPDFGTI3kSueQ6l8Tc/JMZH3KEN+Ozu/dExbfAMwcYhwbRMSm1e8r1pbV58v5R4bjldn+ZIyfAX4ZEZ8GPpRdI2CqKvJRwDaUYbbDVH8vYOz3gxzCqL1qu/cB3wS+GQ+/UswHI2LoV56k/ddgdUoRqO6u6ucaQ+hvCVku03p+Nelj5zLSP4mIxi8jPc2NQp4YhX0ktJsnoP18OQp5ou15ix4yAnmCiFgbeH3V77Mp84D8FPgw8P0c/sUo2sxVn6V8Ho8GDsjMB+sPRsQMyqTrW1FOjdHwtJ0nRiVHgHnCPDFi+6YRyFVtf6dpJVdakOpTZn6t7RiAFSjV647O793nXQ77PMzv9lj2/a77nUnfljuZeUFE7Af8J7BbdZWMzpDrjYF/BR4N7JeZFw45nF7vBSz5fsBwJuDr9jdgXnV7MuXqKMM2Cq9B6wmk2nbbiXRaG5E8MSrazhOt5ssRyRO7AsfW/+4jYk/gBMo/lzt1fwFqSGN5ovpCtyNlP7g9sDLldJwDgJMz84Zh9d1Da7mq+jx+kPLFbveI+CnlyD/ARpTP47rAgVmdQqXhME88jHlimueJEd83TZvvNG3nSgtSU0/bRxPaPrIzEjLzMxFxMfAhylDeR1QP3Uu5OsLszPzFkMMYmfeixSvFjMprMApFsW5tJFIJRufvstV8OQJ5YkPKPBh1p1G+aHyq6WJUS3niJuBRlNNQjqfMCfK78VcZitb/JjLzP2ufx10op6ZAmbfnfOCTOSJze2laaP1vomKeaDlPjNq+aZp+p2k1Vzqp+RRSTUbY/Yb1OnIQlMkIm/ri24jq+T93hIYaAxARK1Cq91AmA1w4XvvlRURsxuLLgs6iJI2vA6dmuXzotBARSzXp57CPjo6RSL9OOUd/mJc1V8tGdR/ZhlHLl23kiV6fh4hYkTIvxpaZeXEDMbSaJyLivylz6p2ZmQuG3d9UUX0OHl3dnTb/t0x35oiHM0+MRp7oiqeVfVPbuaptbedKC1JTyKh98dX01vYVxbTYdE+kUjfz5UP76F2AS2uLVwSuBF4BzKm3H8Y+2jwhaVSZJ0YjT4wCc1W7LEhJWibVzrtjwh3J8jZib5SYSCV1G+PoP4wxJ8sw9tHmCUkaXaOQJ0aBuapdziElaVmNyvn/KtYE3gL0c8TPRCot/0ZhHz0KMUiSenMfXfg6tMgRUpI0xTnsXJIkSdJUY0FKkiRJkiRJjVqh7QAkSZIkSZI0vViQkiRJkiRJUqMsSEmSJEmSJKlR/78dOxYAAAAAGORvPYtdhZGQAgAAAGAlpAAAAABYBeCRi2WhFwYUAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid_size = (1,3) # For the 3 months considered\n",
    "\n",
    "for plot_type in ['bar', 'pie']:\n",
    "    fig, axes = plt.subplots(nrows=grid_size[0], ncols=grid_size[1], sharey=True, figsize=(20,5))\n",
    "    cities_with_worst_cases = [] # Store the name of the cities with the worst cases\n",
    "\n",
    "    month = 0\n",
    "    w_cases_pm = [] # worst cases per month -> it will be used for the 'Total number of cases' plot\n",
    "    for i in range(grid_size[0]):\n",
    "        for j in range(grid_size[1]):\n",
    "            # Cities twith the worst cases in the current month\n",
    "            worst_cases = cpm.nlargest(10, cpm.columns[month])[cpm.columns[month]] # Top 10\n",
    "            w_cases_pm.append(worst_cases)\n",
    "            worst_cases.plot(ax=axes[month], kind=plot_type, \n",
    "                             legend=False,\n",
    "                             fontsize=16)\n",
    "            axes[month].set_title('Distribution of cases till '+cpm.columns[month])\n",
    "            cities_with_worst_cases.append(worst_cases)\n",
    "            month += 1\n",
    "        \n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "It can also be shown a graph that displays the trend of total cases, day by day for the most infected provinces. To keep the graph simple, like always are not shown all the provinces. In this case are only presented the eight worst. \n",
    "\n",
    "On the x-axis is placed the passing of days, and the vertical bar, labeled as <code>Lockdown</code> is put to indicate the beginning of the effects provoked by the lockdown enforced by the government. On the other hand, all the shaded red area indicates the period of the lockdown in Italy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f5e41432e20>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VaacYr7hCizMjQ6tFlZVptShXV62mpyjtIKWkoaaZ8sI6KgrqKC+opSyvltLcGmor9SYHAX5hrgyeGEpwX0/8wl1xdLEzS7wWm6CUHqiuDvr1O/34oYe0L/hHH9USUESE1qEAtETy6KPw179qtRnTU6V+frB8Odx4o5ZgFi3S2mpGjNA6Q4SGauslJMDtt8P48drjefNOJ5BRo7TEMmKElujs7S++jefJJ7XnTkzURlsPD9cS5fn06wd/+pPWkcJo1I6tNY6334Y77tDKfX1h5UrtNOO8edqpxDfeUO1QSpuqyxo4vD2PozvyqSlrPFVubWuFZ4ATIf298A5ywTvYGb8INxycu8cAAT12wsLhw4fLs0czP3LkCP379zdTRGcybYP66aefeOGFF9i6deup5VVVVURGRpKdnX3OU3wdejxqNHNF6R66aDTzuqomco+Xc2xnAZmHtOv+wgZ4EdrfC89AZzz9nXD1ckBYmf+SFiHEXinl8LPLVQ2qC0ycOJFFixbx6aefMm/ePAwGA48//jgLFixQ7U+KonSIpoYWsg6VkXOsnLzj5ZQX1AHg7G7H8KkR9B8V2KkdGjqDSlBdQAjBN998w4MPPsiLL76I0Whk2rRpvPzyy+YOTVGUHqyhppmMgyWk7S8m+3AZhhYjtvbWBMa40y8xkKBYD/zCXbGy7plXFKkE1UmeP6sXVmhoKN999515glEUxSK0NBsoSKsk+0g5OUfLKMqqBql1+Y4bE0TUEF8Co917bEI6m0pQiqIo3VTrtUh5xyvIO1FB4ckqDC1GrKwE/lFuXDE9kvB4b/zCXS1yeDSVoBRFUbqZ8oJaDm7J5diOfJoaDAgBPqGuxI8LJriPJ8F9PLBzsPyvb8s/QkVRlB5AGiUZB0tI3pRDztFyrKwF0UP96DPCn8AYD+wde9/Xde87YkVRlG7EYDCS+msh+37MoiyvFhdPe0beEMWA0UE4uZnnAtnuQiUoRVEUM2iqb+HoznwOrM+muqwBryBnrrlzALHD/Symk8PlUglKURSlC1WUNJK84ThHd+TT3GAgIMqdMbf2ISLeu1tcNNudqATVwaytrRk4cCBSSqytrXn33XcZpQ8/s3v3bp588klyc3NxdXUlMDCQV199lYEDB5o5akVROltDXQtbvs4kNakMK2tBzHA/Bo0LxT/SzdyhdVsqQXUwR0fHU1NurFu3jqeffpotW7ZQWFjInDlz+OKLL04lrJ9//pm0tDSVoBTFwuWfrObHL9Kpq2pm2NV+DJwWi7O7BQ891kFUgupEVVVVeHp6AvDuu+8yf/78U8kJYHTrPEeKolgko1Gyb1M+u3/MxdXDntkP9cPfzxZUcmoXy01QaxdBwcGO3WfAQJj66nlXqa+vJyEhgYaGBvLz89m4cSOgTbkxf/78jo1HUZRuqaqskdSkMo7vK6W0oJ7YBC/G3RiBnYO1Nlis0i4X7CoihAgVQmwSQhwWQhwSQjyil3sJIdYLIU7ofz31ciGEeEcIkSqESBZCDDXZ13x9/RNCiPkm5cOEEAf1bd4RPfiS6NZTfEePHuWHH35g3rx5tDVi/MiRI+nfvz+PPPKIGaJUFKWjNTUYSN5eyJfvHOazV5LZsSYHGzsrrrk1kkm3RWnJSbko7alBtQCPSyn3CSFcgb1CiPXAAmCDlPJVIcQiYBHwFDAViNVvI4H3gZFCCC/gOWA4IPX9rJJSluvr3APsAtYAU4DLm0L0AjWdrpCYmEhJSQnFxcXExcWxb98+ZsyYAcCuXbtYsWIFq1evNnOUiqJcjqqyRpK3F3JkdwlNDQZ8g51InB5CzCAv3LzUqbzLccEEJaXMB/L1+9VCiCNAMDADGKev9gmwGS1BzQA+lVq1YacQwkMIEaivu15KWQagJ7kpQojNgJuUcqde/ikwk8tNUN3A0aNHMRgMeHt78/vf/56RI0cyefLkU+1QdXV1Zo5QUZSLJaWkrLCerGNVZB+rJCe1CiEE0YM8GTTGn4AwF3OHaDEuqg1KCBEBDEGr6fjryQugAPDX7wcD2Sab5ehl5yvPaaO8R2ptgwLtg/zJJ59gbW1NQEAAy5Yt46mnniI3Nxc/Pz98fHz485//bOaIFUVpj6YGA3s35XNsbwm1lc0AePo5MHR8IPGJfrh49O5RHzpDuxOUEMIF+Ap4VEpZZdpMJKWUQohOn5pXCHEvcC9AWFhYZz/dJTEYDOdcduWVV7Jly5YujEZRlMslpeT4vlJ+WZNDXVUzEQM8GDHJg9C+brh6qFN4naldCUoIYYuWnP4rpfxaLy4UQgRKKfP1U3hFenkuEGqyeYhelsvpU4Kt5Zv18pA21v8NKeViYDFoU763J3ZFUZRLVZpfx+avMijIrMUv1Jmp82PUKbwu1J5efAL4EDgipXzTZNEqoLUn3nxgpUn5PL0335VApX4qcB1wrRDCU+/xdy2wTl9WJYS4Un+ueSb7UhRFMYuTh8pZ8c8jVJY2MmFOBDc91F8lpy7WnhrUVcDvgINCiAN62TPAq8ByIcRdQCYwR1+2BpgGpAJ1wJ0AUsoyIcSLwK/6ei+0dpgAHgQ+BhzROkf0+A4SiqL0TFJKkn8u5OfvsvELdmLanX1wdrM1d1i9Unt68f0MnOu6pIltrC+B359jXx8BH7VRvgeIv1AsiqIonclokGxbmUXKjiKi4j25Zm4ktnbq+iVzsdyRJBRFUdpJSknm0Up2r8ulOLeOIVcHkDgtRI0ubmYqQSmK0mtJKck+XsWudbkUZdfi5mXPtbdHEZvgbe7QFFSC6nDnmm6jrq6Oe+65h+TkZKSUeHh48MMPP+DiohpdFcUcqssb2bQig+zjVbh42DH+pgj6DvfGWk0W2G2oBNXBzjXdxttvv42/vz8HD2oD2B47dgxbW9XwqihdTUrJ4d0lbP8uCylh9A2hxCf6YW2jElN3oxJUJzKdbiM/P5/w8PBTy/r27WuusBSl1zKtNQVHuzJhTqQaL68bs9gE9dru1zhadrRD99nPqx9PjXjqvOuca7qNhQsXcu2117JixQomTpzI/PnziY2N7dD4FEVpmzRKDu0s5pc12UgJY2eFE3+lr+oE0c1ZbIIyF9NTfDt27GDevHmkpKSQkJBAeno6P/74Iz/99BNXXHEFO3bsoH///maOWFEsW0VxA5tWZJCXXk1IrBvjb4pQtaYewmIT1IVqOl3BdLoNPz8/XFxcmD17NrNnz8bKyoo1a9aoBKUonaS2sonkX4pI2lqAtY0V42+OoP8VPvTg6eZ6HYtNUN2B6XQb27dvZ8CAAXh6etLU1MThw4cZN26cuUNUFItTnFPLgW2FpCaVYTRKYgZ5Mvr6MJzd1WjjPY1KUB3sXNNtpKWl8cADDyClxGg0Mn36dG688UYzR6solkNKyfbvsknaVoitvRXxiX4MGu2Hu7eDuUNTLpFKUB3sXNNtzJs3j3nz5nVxNIrSe/y6Po+kbYXEJ/px5dRg7B3V11tPp95BRVF6vIPbC/l1fR79hvswdlaYameyEOrKNEVRerTj+0vZujKLiAEejL8pQiUnC6JqUIqi9EgGg5Eju0vY9m0WQZGuTL4jGitrlZwsiUpQiqL0KEaj5MT+Unavz6OqtJHASBemLYjBxladELI0KkEpitJj5GdUs+nLDMqLGvAOdGT6nbGE93dXp/UslEpQiqL0CDmpVXz/0QmcXG2Z/LtoouM91VBFFk7ViTuYtbU1CQkJxMfHc/PNN1NXVwdAQUEBt956K9HR0QwbNoxp06Zx/PhxM0erKD1D5tFKVn94HDdve258qD8xg7xUcuoFVILqYK1j8aWkpGBnZ8cHH3yAlJJZs2Yxbtw40tLS2Lt3L6+88gqFhYXmDldRur30lHLWfHwCT39HZt7fFydXNU1Nb6FO8XWiMWPGkJyczKZNm7C1teX+++8/tWzw4MFmjExRuj9plBzcUcT2Vdn4BDtx/d19cHBSX1m9icW+2wUvv0zjkY6dbsO+fz8CnnmmXeu2tLSwdu1apkyZQkpKCsOGDevQWBTFklUUN7Dxy5Pkn6whrK87k++Ixs7B2txhKV3MYhOUuZiOxTdmzBjuuusuPvjgAzNHpSg9g9EgObC1gN0/5mJja8WEOZH0G+6teun1UhaboNpb0+lopvNBtYqLi2PFihVmiUdRegpplGxYls7x/WVExXswdlY4zm5qBPLeTHWS6AITJkygsbGRxYsXnypLTk5m27ZtZoxKUbqXHWtzOL6/jJFTgpk6P1YlJ0UlqK4ghOCbb77hp59+Ijo6mri4OJ5++mkCAgLMHZqidAvJ2wvZv7mA+ERfhk0INHc4Sjdhsaf4zKWmpqbN8qCgIJYvX97F0ShK95d2sIxtK7OIjPNgzMxw1d6knKJqUIqimE1uWhXrv0gnIMyZSbdFYaUuvlVMqBqUoihmkXWskrWfpOLmbc+0O2OxtVPdyJUzqQSlKEqXS08pZ93naXj5O3LDPX1wdFajQyi/pRKUoihd6sSBUtYvSccvxJnr7lKjQyjnpj4ZiqJ0CaNBsm9zPrvX5RIY6cr0O2PV6BDKeakEpShKpysrrGfD0nSKcuqIGezFhDkRqs1JuSDVi6+DCSG44447Tj1uaWnB19eX6667DoCPP/6Yhx56yFzhKUqXMhq1WtPytw5RVdbE5DuimXxHtEpOSruoGlQHc3Z2JiUlhfr6ehwdHVm/fj3BwcHmDktRulxpQT2bvjxJYVYtkXEejLsxQk2VoVwUVYPqBNOmTeP7778HYMmSJcydO9fMESlK1zEYjOzZkMfytw5RWdLIpNuimDo/RiUn5aJZbA1q2/LjlGS3ParDpfIJdWHMnD4XXO/WW2/lhRde4LrrriM5OZmFCxeqcfeUXqE4p5aNX2ZQkldHzGBPxswMx8lFJSbl0lhsgjKnQYMGkZGRwZIlS5g2bZq5w1GUTtfUaGD3j7kkbyvE0cWWqfNiiBroae6wlB7OYhNUe2o6nemGG27giSeeYPPmzZSWlpo1FkXpTBlHKtj6TSbV5U3EXelL4rQQ7B0t9qtF6UIXbIMSQnwkhCgSQqSYlD0vhMgVQhzQb9NMlj0thEgVQhwTQkw2KZ+il6UKIRaZlEcKIXbp5cuEEBYxxv7ChQt57rnnGDhwoLlDUZRO0dJsZPNXGXz/0QlsbK2Y9WA/xt0YoZKT0mHa80n6GHgX+PSs8n9IKf9mWiCEGADcCsQBQcBPQojWqsx7wCQgB/hVCLFKSnkYeE3f11IhxAfAXcD7l3g83UZISAgPP/ywucNQlE5RVdbID5+mUpxbx5CrAxg5JRhrG9XnypI1thgoqmokr6KenPLWWx3XDQ7i6j6+nfKcF0xQUsqtQoiIdu5vBrBUStkInBRCpAIj9GWpUsp0ACHEUmCGEOIIMAG4TV/nE+B5enCCamu6jXHjxjFu3DgAFixYwIIFC7o2KEXpQCcPlbNh2UkApi2IITJOtTVZgtKaRg7lVZFdXkdhZQMFVQ0UVDVSVNVAYVUD5XXNv9nG382eYeGd9/5fTl38ISHEPGAP8LiUshwIBnaarJOjlwFkn1U+EvAGKqSULW2s/xtCiHuBewHCwsIuI3RFUS5WY30LO9bkcGhnMb7BTkyZF4Obl725w1IuQXltE0k5FSTnVHIwt5KU3EryKxtOLbcS4ONiT4C7A6FeTgyP8MTf1QE/N3uCPZwI9nQk0N0BB9vOveD6UhPU+8CLgNT//h1Y2FFBnYuUcjGwGGD48OGys59PURRNxpEKNn+VQV1VM4PH+nPllBBsbNUpvZ6gtrGFlNxKknMqTyWlrLI6AISAKB9nRkR6MTDYnbggdyJ8nPB1scfG2vzv7yUlKCllYet9IcS/gNX6w1wg1GTVEL2Mc5SXAh5CCBu9FmW6vqIoZtZQ18LWbzM5sb8MrwBHps6LwT/MxdxhKefQ2GLgSH41yXoiSs6pILWoBqP+cz7Yw5FBIe7cNjKMwSEexAe74erQfa9Tu6QEJYQIlFLm6w9nAa09/FYBXwgh3kTrJBEL7AYEECuEiERLQLcCt0kppRBiE3ATsBSYD6y81INRFKXjFOXU8sOnqdRWNnPFpCCGTQhUHSG6ibqmFtKLa0krriG1qIYThTUcL6oms7QOg20LgnMAACAASURBVJ6NfFzsGBTiwbSBgQwKcWdgsAe+rj3rlOwFE5QQYgkwDvARQuQAzwHjhBAJaKf4MoD7AKSUh4QQy4HDQAvweymlQd/PQ8A6wBr4SEp5SH+Kp4ClQoiXgP3Ahx12dIqiXDQpJYd2FLNtVRZOrrbM+n0/AlStySxKaxo5WlBNWnENaUU1pJfUklZUQ55Je5G1lSDc24lYPxemDwxkQKAbg0I9CHJ3QAhhxugvX3t68bU1kNw5k4iU8q/AX9soXwOsaaM8ndM9/RRFMaPaqia2r87mxP4ywvq6M2luFA7O6rqmrlJR18TO9FJ2pJWyI72U44WnewW72NsQ5au1F0X7uhDt50KUrzORPs7Y21jm6PDqk9fBhBDcfvvtfP7554A23UZgYCAjR45k9Wqtqe7bb7/lz3/+M83NzdjY2PDiiy8yc+ZMc4at9HIleXUkbS3g+IEypFEycnIwwyYEIqx69i/w7q6pxcj+rHK2nShh24liknMrkRIcba0ZHuHJzCHBJIR4EO3ngp+rfberEbUYWzBKI3bWnTO+gkpQHexC020kJSXxxBNPsH79eiIjIzl58iSTJk0iKiqKQYMGmTFypTeqrWzip6UnyUmtwsbOirgrfRk02h8PHwdzh2ZxpJSkl9WzP6OM5MoCknIqOZJfRVOLEWsrQUKoB49MjGV0jA+DQjywM0N7n8FooLCukNyaXHKqc8ityaW2uZZmYzPNxmYaDY1UNFRQXF9MSX0J5Q3lPDXiKW7vf3unxKMSVCdonW7jpptuOjXdRuto5n/729945plniIyMBCAyMpKnn36aN954g88++8ycYSu9TGN9C999eJyqskYSp4UwYKQvDk7qK6GjNLYYOZhfza/ZVezNqWRvThXl9doln0521sQHuzM/MZxh4V6MivHGrYt701U2VpJVlcWx8mMcKT3CkbIjHC8/TqOh8dQ6VsIKRxtH7KzssLWyxdbaFk97T4JcghjsOxgfRx8G+nTecG4W+2nc9PFiijLTO3SffuFRjF9w7wXXO990G4cOHeKJJ544Y/3hw4fz3nvvdWisinI+hhYjP3yaRnlhA9MXxhLW193cIfV4TQYje7Ir2ZFRya7sSpLyqmlsMQIQ5e3INbHeDA91Y4ivA9F9QrHuotOnUkpya3LZU7iHvYV7Sa9IJ7M6k8rGylPruNi60N+7P3P6ziHSPZIQlxBCXEMIcA7A1sp83dAtNkGZk5puQ+nOpJRs/DKDnNQqJt4SqZLTZSiuaWL98VI2p5WxPaOC2iYD1gLiA1z53bBArgh1Z3iIG97OJm00jY3aUA2dpMXYwvHy4yQXJ5NUnMTewr3k12pXBXnYe9DXqy/Xhl9LuFs4Ia4h9PHoQ7BrMFai+11CYLEJqj01nc50ruk2BgwYwN69exk8ePCpsr179xIXF2eOMJVeaOcPuRzfV8rIKcH0G+5j7nB6pGNFtfx7Vw4rDxXRZJAEu9kzM96PcdFeJIa742LftV+t2VXZbM7ZzJacLSQXJ1PfUg+At4M3Q/2Hcmf8nQz3H060R3S3TETnYrEJytwWLlyIh4cHAwcOZPPmzafKn3jiCW6++WYmTJhAREQEGRkZvPzyy6xYscJ8wSq9xp4NeezbmM+Akb4MmxBo7nB6nH25Vby1NZOt6eU42FhxS0IAdwwNoo+vU5f1sKtsrCStIo20yjRSy1PZmb+T9EqtOSPaPZrZsbMZ7DuYQb6DCHIO6nY9/y6GSlCd5FzTbSQkJPDaa69x/fXX09zcjK2tLa+//joJCQlmiFLpLaSU7F6Xy54N+fQZ4sXVs8J79BdXV2tsMfLm1gwW78jB29mWJ66O4PahgXg6dWz7THVTNXk1eRTWFWq32kKK6oq0W73217TtyNHGkUG+g7i5z81cHXo1oa6h59l7z6MSVAe70HQbALNnz2b27NldGJXSm0kp+eX7HA5sKaD/CB/G3RiBlbq+qd0OFdTwh1VHOVZcx9whATw7MapDTuGV1peyPW87KSUppFemc7LiJEX1RWesYyWs8Hbwxs/JjxCXEIb6DSXUNZQo9yiiPaIJcA7oUafsLpZKUIpiwaSUbFuZxcHtRcQn+jF2Zpi6+Ladyuua+deuHP61MwcPR1v+c0s842O8Lnl/TYYmDlccY0feDrbu3ENKqTaEqZONE1HuUVwZdCXRHtGEuITg7+yPv5M/Po4+2Fj13q/p3nvkitIL7N2Qz8HtRQwe689V14Wq03rtUFHfzL935fDxr3nUNhmYEe/Hc5Oi2306r9nYTFF9CYX1RRQ1FHOsIpV9pUmklB+hydiEQDDIdxAPJTzE2JCx9PXqa9G1oMuhEpSiWKj0lHJ2rculz1BvlZzaobHFyOKd2fzfjhxqmwxM6+/Lw6PD6Ovn3Ob6UkrqWurIqMkiqewQyWUpJJWlkFObd8Z6NsKaAR79mBt9I0O8BjHUrT+eQdFdcUg9nkpQimKBSvPr+GlpOn6hzoy/KUIlpwvYml7Gc+vSOFlWz5S+Pjw2Npy+fs5UNFayrySJtOqTpFdlkFZ9kvy6Qqqaq6hqqqZFm6wBAF8HHwZ7xXND2FQCHP3xc/TB39GPYKcgHG1Mho5qbGwjAqUtKkEpioWpr21mzcep2NpbM21+jJr59jwKqhp57qeDrE8/QYBXLfMmgrXdDl4+ksHJ3ZmUN1WcWtfR2pFotwj6uMfgbueGm60r7nZuBDr5M9grngBHf/VDoIOpBKUoFqSpwcC6z9KorWpi5gP9cHbvnFGme7LKpip2Fe3hs8NbOFC+F2zLcI6CauCbPHCzdSXKNYLxgWOIcosgyjWCaLcIAhz9VVtRF1MJqgONHz+eRYsWMXny5FNlb731FuvWrWPz5s307duXpqYmhg8fzocffoitbfedalnpeU4ermDrN5nUVDZxzS2RapJBtA4L2TW5JJWlcLD8MMllhzhRmYYRI9Jgh5voy41RNzLIN4JgpyCCnQNxt3Mzd9g9R3kG2LuB06X3bjwflaA60Ny5c1m6dOkZCWrp0qW8/vrrZGdnc+DAAQwGA5MmTWL58uXcfnvnDFGv9C61VU1sW5lFWnI5Xv6O3PhgfwIiLDc5GaWRwvoiTlZncbImk4K6Qmqaa6lpqaGmuY6q5irKGysob6ygpqX21HbONs54iEiaSydg3dCHZ0ZfzdyEEHVa7mJVZMPhbyHla8jbB9e+BKP+X6c8lUpQHeimm27ij3/8I01NTdjZ2ZGRkUFeXh6hoaev7ra2tmbEiBHk5uaaMVLFUhRk1rD6w+O0NBsZOSWYIVcHYG2GeYQ6m0Ea+KVwN19nfMf2wp3UG05PeW5nZYerrQuuti442zjhaudKsFMQXvYeeNp74O/gR1GpPx9tb+JodQvT+vnw3LXR+Lvam/GIuhEpoakGGiq1W3UBVOdDVZ52a6yCplporIH6Mig6rG0XNAQmvQADOm+yVYtNUBXfpdGUV3vhFS+CXZAzHtefu3uol5cXI0aMYO3atcyYMYOlS5cyZ86cM36hNTQ0sGvXLt5+++0OjU3pfYpyavnu38dxcLbhprv64OFrWZMMSik5WZPJ2uyf+CZzNYX1RXjZe3BD+DT6uMUQ6RpGhEsYPg7ebdaCKhta2JZezr825pCUX83AABfenhnFyDAPMxxNF6ku1BJIY7WWWBqqtKRTXw4NFVBfcbq8dZ3GKpDGtvfn5A2OnmDnDHYu4B4KA2+CuFngFdXph2OxCcpcWk/ztSaoDz/8EIC0tDQSEhI4efIk06dPV7PnKpelJK+OVf86hr2jNTPv64urp2XUBpqNLSSVHWRz/s9szv+ZzJpsBIJRfiN4ctDDjA8cc975iYpqmvjmYCEbUsvYm12JQUKAqx1/v74vswb6YWXJp/MKD8NHk7WEczZ7d3B0BwcPcPQAr0iwd9VuDu6nb/Zu4OIPboHgGgg25v1cWWyCOl9NpzPNmDGDxx57jH379lFXV8ewYcPIyMggOjqaAwcOUFJSwlVXXcWqVau44YYbzBKj0rOVFdazavExbGytmNHDk1N5YwVHKo6zrzSJ/aVJJJcdosHQiI2wYaTvMO6InsO4wDEEOPmddz8Go+S/+/J5Y/NJqhsN9PNz5r7EUCbEeDEk2K3LJgc0m5oi+OIWsHWEOZ+Cs+/pBGTvBtY986u+Z0bdjbm4uDB+/HgWLlzI3Llzf7Pcx8eHV199lVdeeUUlKOWiSCk5eaiCLV9ngoCZ9/XD3bv7n9ZrNraQX1dAdm0OObV5ZNRkk1qVTmplOiWN2lxpVljR1yOWmyJmMNRnMIl+I3CxbXsEh7Ol5Ffz7NpUkvKruSrCg79MjiHGx6kzD6l7aa6HpbdBbTHcuQaCh5o7og6jElQnmDt3LrNmzWLp0qVtLp85cybPP/8827ZtY8yYMV0cndITlRfV8/PKLLKOV+Hp78DkO2K6fZvTgdKDfJa6jI15W84YccHB2p5o10iu8h9JrHs0fdxjGOQ5AOd2JqRWLUbJP7Zk8P6ObLycbHl7Rj9uiPPtXb3ypISVv4ecX2HOZxaVnEAlqE4xc+ZMpJSnHkdERJCSknLqsRCCpKQkc4Sm9DBNDQb2bMgjaVshNrZWjL4hlPhRflhbd8+eei3GFn7K28xnJ5aRXH4IV1tXbomaTV/3WEJdggl1DsHXwfuyL3gtrG7k/317lN1Zldw8yJ8/TorG3cHCv86k1GpLNQVQmaN19874GVK+gonPwQDLOyNj4e+oovRMUkqO7yvllzU51FU102+4D4nTQnBy7Z4Xd9c01/JVxir+m7qc/PpCwpxDeGbw48wIn4qTTceebtuWXs6jK49S12zgzRv6Mnugf4fuv8u1NOpdunOhMlf729rFuypX69rdWK3djC2/3f6Ku2H0Y10fdxdQCUpRupminFq2fZtJQWYtfqHOTJ0f021HhSisL+bTE0v4KmMVtS11DPNJYNHgxxgXOLrDhwWSUvL+jmze2JRBrK8Ty2YP7n5tTfXlUJMPhiYt8RiaoKkaakugrgTqSrUODS3V2uPaYq3sbA4e4Bak9aTz7af3tnPT/rr4g3uIdnMLNntPu86kEpSidBNGg2TPhjz2/JSHg7MNE+ZE0G+YT7ecYLCwvpgPj33GVxmrMEgD1waPZ37sXOI8+3fK87UYJX/+IZUv9udz/QBfXpveByc76055rvYF1ACVWVCRCSVHoTAZCg9CVc75t3PwAAcvcAsAn1gIS9QSjkeolmzcQ7Uu3nYX1x5nqVSCUpRuoKq8kZ++SCc/o4a+w7wZMyMMe8fu9++ZUZ3Ff9O+5KuMVUhp5Iawadzdbx6hzsGd9px1TQb+3zdH2JBaxgOjQvmfcRGdcz2TlFriaSjXRlKoydf+1hZBXZl2qq2+VF9WAJxuZ8YjHAKHQsJ8LclYO2g1G2s77QJXJx9w9AJrW226DR+fjo/fAnW//wBF6WVSk8rYtCIDKSWTbouizxBvc4d0hkZDI+tzN/NVxir2lOzHRlgzI3wad/edT4hzUKc+d25lAw98dZiUghpenBLD74Z1wPM1VED+Psjbq40lV54OzTXacD5ttfFY22nJxdFb+xs2Cjwi9Fs4eEZrF7kqHU4lKEUxo6RtBfy8Khu/UGeuvT2qW1zXVNdSx6HyoyTpM8TuLUmiurmaEOcgHom7nxlh0/B17NwaQGF1I//7SzZL9udjbSVYfFMc1/S5QOKWEuqKoTJbb+/R23dqi7Tx5WoKtFpRbZG2vrACn/4QeiXYuWo1HTsX7TScqz6Sgkug9rg3dV3vRlSC6mAFBQU8+uij/Prrr3h4eODv789bb73F4MGD1XQbyhn2bMhj1w+5RA/0ZNJtUV0+yKtRGtmSv53V2esobiihvLGC0sZyqpurT60T4RLGxKCxTA+dzAjfoZ0+H1JlQwvvbMvk8335GIySmwf589DoMILd9cTdUKm187Qmm+p8radbWapWE2prmB8Hd3AJ0JKN3wBwD4fAIRCQoNp6ujmVoDqQlJJZs2Yxf/78UxfpJiUlUVhYeGqoIzXdhiKlZPePWmeI2CFeXHNLFFbWXfcLva6lnlWZa/g8bTmZNdn4OvgQ6RpGX/dYPO098HHwYoBHPwZ5xXXp3EiltU3c/sVBThTXckucO4/EluNfvQ62pkBFltYpobHyrK2E1snAKxr6zdL+eoRrQ/04+Win5Sy4l5ulUwmqA23atAlbW1vuv//+U2WDBw8mIyPj1GM13UbvJqVkx/c57N9SQP8RPoy7MQKrLuqlZ5RGvspYxduHPqCyqYp4z/68MeIFrgkah42VGb4KpNQSTmUOlYWpfLtlJ3c35HBtQAlu6UchVW8P8ogAz0itE4JHGLiFnK4ROftqHQ8Ui2SxCWrt2rUUFBR06D4DAgKYOnXqOZenpKQwbNiw8+5DTbfRe0kp2b46m6SthcQn+jF2ZliXdSFPr8rgL/tfY19pEsN9hvBw3H0keA3s3GGBjAbtNFxFJlTnnb5V5Z7+26xNieMO3AU0Ofli5xIDsfdD0HAIGqZN96D0ShaboLobNd1G7yal5Bc9OQ28yo8xM8K6ZMy4+pYG/nP8c/517FOcbBx5YegzzAyf3jHPbWjW2n3K07WOB7XFWseEmkKoyNBOyRmaztzGyQdcg7RTceFjKbf14839zRxu8OGZG8czLKpzewUqPYvFJqjz1XQ6S1xcHCtWrGhzmZpuo/dqPa13YGshA0d1TXJqMbawKmst7x3+N0UNxUwLvZYnBz6Mt4NX+3dibNGSTmtnhJp8rTdcVQ6UnoDytLO6ZQutG7aLH3jFQPQk7fSce7h2EaprINic7qW4KbWMR1ceRQKf3BbPkOCua+9SegaLTVDmMGHCBJ555hkWL17MvffeC0BycjKVlacbdtV0G72LlJIda7Q2p/hEP8bM7NzkJKVkU/423j70AenVGQzyiuO1Ec8z3GfIb1euK4OiFG0khLpi/WLUUq2Ldk2BVis6e6ZVa3twDQCvPhB9DXj3Ae9YcPbXZl9tR1uWUUre2ZbF29sy6efnzAc3DSDc07GDXgHFkqgE1YGEEHzzzTc8+uijvPbaazg4OBAREcFbb711xnpquo3ewWiUbPk6k8O7iolP9GXsrM5NTscr03g9+S12Fe8lwiWMt0a+wgT/RETpMTi+Wh98NEc79VZ0SKsRtTK9GNXJW0s8rdcBuQScvu/oecnXBEkpSS2p4+UNJ9mUVsbsgX78dWosjrZmHLJI6dYumKCEEB8B1wFFUsp4vcwLWAZEABnAHClludD++94GpgF1wAIp5T59m/nAH/XdviSl/EQvHwZ8DDgCa4BHpOlcFT1MUFAQy5cv/025mm6jd2lpNrL+i3TSU8oZNiGQkVOCOy05VTRW8t6Rf7M8/RtcbV14JvJmbm6ywWbnYsi9B5rrTq9s56L1ggsZCf4DwS9eu1j1MhLP+Ugp2Z9XzbpjJfx4rJSTZfXYWglemhLD7UMDe9fcTcpFa08N6mPgXeBTk7JFwAYp5atCiEX646eAqUCsfhsJvA+M1BPac8BwtAGs9gohVkkpy/V17gF2oSWoKcDayz80RTGPxvoW1nycSl56NaNnhDF4dOdMB1HTXMuS1OV8fOK/1LbUcwtu/D4zA/fjf9dW8O4DA27WkpFXtNYOZO/eZaMiNDQbeOr746w8VIyNlSAxwoOFI4K5to83/q7q2iTlwi6YoKSUW4UQEWcVzwDG6fc/ATajJagZwKd6DWinEMJDCBGor7teSlkGIIRYD0wRQmwG3KSUO/XyT4GZqASl9FCN9S18+8ExygrrO2dcPUMzNSVHWHL4Qz4p30clBsbW1fNoWQWxLjbQbyaEJEJoonaNkJkUVTdyz4rDJOVV89jYcBZcEWz5EwoqHe5SPzH+UsrWE9gFQOtPxGAg22S9HL3sfOU5bZS3SQhxL3AvQFhY2CWGriidw9BiZO0nqZQV1jNtQQzh/TwubUdNNVo7UWUOVGVr7UblJ6E8nU1NhfzZ24MKa2uubpI84DqIuP6TIXSU1lbUDRzMr+aeLw9R1dDC/900gMl91cjdyqW57J80UkophOiSNiMp5WJgMcDw4cN7bDuVYnmkUbJh2Uly06q5Zm7UxSWnulLI2Qk5u7S/xUc4YyoHG0eaPMN508ud/xpb6G/vx/vxDxEfNrFbDWIqpWTJ/gJeWJ+Gt5MtK+YnMMC/e060qPQMl5qgCoUQgVLKfP0Unj48MLlAqMl6IXpZLqdPCbaWb9bLQ9pYX1F6lJ0/5HDiQBlXTg2h79ALjbpthIIkSN8AJzdBod5hxsZBGz0h8TGt/cg9BNxCyTLU8cSvf+ZIxTHuiJ7DY/EPYmdt1/kHdRHyqxp56vvjbE0v56oID96e2Q8f5+4Vo9LzXGqCWgXMB17V/640KX9ICLEUrZNEpZ7E1gEvCyFaxyy5FnhaSlkmhKgSQlyJ1kliHvDPS4xJUczi4PZC9m3SrnMaOv4Cp9lOrIWNf9a6eAsrbXy5q56EsKu0XnXWdlp37Kp0finazY7UT/i1ZD8O1va8feWrTAga2zUH1U5SSr46WMhffkyjxSh5cXIMtw8L7JwJBZVepz3dzJeg1X58hBA5aL3xXgWWCyHuAjKBOfrqa9C6mKeidTO/E0BPRC8Cv+rrvdDaYQJ4kNPdzNfSwztIWFtbM3DgQFpaWoiMjOSzzz7Dw8ODjIwMIiMjefbZZ3nppZcAKCkpITAwkPvuu493333XzJErl6Igs4Ztq7KIGOBx/otwawpg45+0BOUbB2OfgYhxp8aZazG2sK80ifW5m9mYt5WihmIAolwjmBM5k3mxtxLo1D3amFoZjJLn1qXy+b58RoS68cb1fdUFt0qHak8vvrnnWDSxjXUl8Ptz7Ocj4KM2yvcA8ReKo6dwdHTkwIEDAMyfP5/33nuPZ599FoDIyEi+//77Uwnqyy+/JC4uzmyxKpenqdHAT0vTcXG345pbI9selbyxCg5/DdtfB0MjjHkaht0L1rbaNUIlSazKWsPGvG2UN1XgYG3PVf5XMjZgFKP8RhDg1Dld1C9XQ4uRx1YeZe3REu5LDOGp8ZGq1qR0ONXvsxMlJiaSnJx86rGTkxP9+/dnz549DB8+nGXLljFnzhzy8vLMGKVyqX5ZnU1laSMz7+uLvaPJv1JTDaSth2OrIWOTNmBqaCJMeg08o8iry+e7rB9YmbmG7NpcnGycGBc4mklB4xjlPxInm+5dC6lubOGeLw+xM7OSP14Txd0jQy68kaJcAotNUMePv0h1zZEO3aerS3/69PlTu9Y1GAxs2LCBu+6664zyW2+9laVLl+Lv74+1tTVBQUEqQfVAGUcqOLSzmCFXBxAc7aaNW5e2HtJ+hMyftdqSiz8M/h30uZ4m/4FsKtjO14feYUfRr0gkI32H8UD/hUwMGtftk1Kr0tom5i1J4VhxLW/N6MvM+O5Zw1Msg8UmKHOpr68nISGB3Nxc+vfvz6RJk85YPmXKFP70pz/h7+/PLbfcYqYolctRX9PMxuUn8Q50ZOSgQlj+OGTvACS4hcLgOyB2GgRfQVVzLf8+/inf7v8z5U0VBDr6c3+/O5kRPp1g50BzH8pFqW5sYf7SFNJK6/j3nDjGRV/EyOiKcgksNkG1t6bT0VrboOrq6pg8eTLvvfceDz/88KnldnZ2DBs2jL///e8cPnyYVatWmSVO5dLU1zbz05J0GutbmNF3GdZffq6N5D3qDxAzWRvXTgiklHyX9QN/T3mXisZKJgaN5cbIG7jS7wqsRc8bHLWhxcg9Xx7iaFEt/7pZJSela1hsgjI3Jycn3nnnHWbOnMmDDz54xrLHH3+cq6++Gi8v9U/eU7Q0G0neVsDeDbk0N0nGuv8b76LNMOpxGH4f2DqdWvdYxQleTnqTfaVJDPKK4/1RbzLAs6/5gr9MLUbJQ18fYVdmJW/N7Mf4GPW5VbqGSlCdaMiQIQwaNIglS5acMa1GXFyc6r3XUxhbOLHxV37Z0kRNgxMR9r+S6LcEr8FXwqhtWjsTUN1cw7qcDazMXMOBsoN42Lnzl6FPMzN8OlbCyswHcemMUvLU98f56UQpL06OYUacn7lDUnoRlaA6WE1NzRmPv/vuu1P3TafcaLVgwQIWLFjQ2WEpF6OlEbK3Yzi6lu17vDlYNRFf2ywmDjxEyBVDIWoN2LsCkF2TwwdH/8O6nA00GpuIco3gsfgHuTHiBtztevYMsaW1TTz+3TE2p5Xzh7Hh/G64mo5d6VoqQSlKq8osOPAppCyloc7AD5WLyG0cQMLAOhLnXIeVw+lOLWWN5fzf0f+wPP1bbK1smBk+nZnh04nz7G8Rcxztyqrg4W+OUl7fzIuTY7hjWM/q0KFYBpWgFCVrO+xdDOkbQVhRGjSXNaWzqDVYM/GWCPoNPz0ad25tPt9krubz1GU0GBqZFX4dD/a/C19Hyxixu9lg5P925PDm1gzCPBz48JYhxAeoAV8V81AJSum9GqthywtwcAk4+cKVD1MZegvf/LsEa1srZj0Qg3+YC5VNVfyYu5HVWevYV6oN7DohcCyPxN9PlGuEeY+hgzQZjHydXMh7v2STXdHADXG+vDw1Fhd79RWhmI/69Cm9U9Z2+OEP2qCtVzwIo/5Ai7Tjh3e1i7tnP9iPOscKXk36F19lrKLB0EikazgPD7iP6WHXEuRkGae8GlqMrEgq4P1fssmtamRQoAvPXxvHhBgvizhVqfRsKkEpvc+2V2H3u+AZCbd+A0HDkFKyZXkGJXl1DJ/rzusn/8aa7HUATAudzG3RNzLAo5/FfGmX1Dbx2d48Pt+bT2ldMwlBrrw0NZZx0Z4Wc4xKz6cSlNK7HPtOS07xt8CEl8BWG2Lo8K5iju4pweWKGh7M+h+shOCWqNnMi73VYmpLAOV1zby+6SRfHSykySCZEOPF3SODSQz3UIlJ6XZUgupgptNt9O/fn08++YTp06ezfErdnwAAIABJREFUaNEiJk+efGq9t956i2PHjvH++++bMdpepioP1i+CwCHawK1W2se/MKuGrd9m0RRYyt+sX+RKn+G8Mvw5fBws64LUlPxq7v/qMIXVTdw8OICFI4KJ8XG68IaKYiY99wrCbqp1qKOUlBTs7Oz44IMPmDt3LkuXLj1jvaVLlzJ37rlmMlE6nDTCD4+CsRmmvnMqOWUfr+S7j45RZ1fJf4P/xt19f8cHV71pccnpy6QCbvw0CYNR8uW8wbw87f+zd95xclXl/3/fMn12d2Z7z+4mm14hFYgklAChqggKCogN9SsKCmJBBBsCPxsqiIo0KfpVvqFFeiCVkITUzaZstvfdmdmdftv5/TGzS0JAAmzIJsz79TqvuXvPuWeemZ25n3lOeZ7ajDhlGPVkPKjDyMKFC9m6dSs//elP+eEPf4imadjtdpqamujo6DggukSGw8yGP0HrGlhyB/irMU2L9c+2s+nlLgbcPayY/BC/POlGTi07+UhbOqJopsXNzzXw902dnFDl484LJpKXScWe4SjhmBWoG/e0sT0SH9E+p3pd/KT20HLfGIbB8uXLOfPMM8nNzWXu3LksX76c888/n0cffZSLLrooM+b/YdG9HVbdBrVnwdSLGQwmef7vDXQ1R9ld9Bp7J63k7oW/pCa76khbOqJEkgZf/VcdKxtDfGV+OdctrkZ9u6SKGTKMUo5ZgTpSDKXbgJQHNZQPamiYb0ig/vrXvx5JMz86hJrhya+AOxdOv41o2OBfv99JPJHkhdoHcYyLcf8Jdx1zQ3o9EY3PP7qd+p4It509notmjq508RkyHArHrEAdqqcz0uyf8n1/zj//fK655ho2bdpELBbj+OOPPwLWfcTo2QH/+mxq3ukTD2Lac3j2b7uIRhP875Q7mDq2mtvm3n7UJAs8VBr6Y1z+yDb6Yzp/uWhqJvp4hqOWY1agRhter5fFixdz5ZVXZhZHfBi0rIZlXwBHNlz0D8irZfUTTXQ2Rnhp3N85deo8vjfjGlT52PoKvLinn28/uQtVlnjsszOYXpp1pE3KkOF9c2x9O0c5n/nMZ/j4xz9+0Iq+DCPMrqdg+dXgq4JPPgRZpWzd2M62lb1sL3qVsxfN5crxnz2m5gDjuslPX9jH3zd1MqnQw90XTmaM/9jyDDN89MgI1Ajz1nQb+3PBBRcghPgQrfmIISxY8ytY9xsonQ0X/A1cfuqbW3j5n630ezs4+8JpnFO15EhbOqJs6wzzzWX17OuP8+X55Xz75CocamYHSYajn4xAZTg20COw7IvQ8BxMuRhO+xmoTtb3bOK5+9pwyVmc8bkaTqw6dub+hBA8sKGDn76wjzyPjYcvncYJVf4jbVaGDCNGRqAyHP0E98FzX4BwCyy+BWZ9HgE8uOdRHl+xitMilzP9gixOrJl4pC0dMaKayfee2c0TO3o5rTaXO86dgM9lO9JmZcgwomQEKsPRi5FMbcB97XcgO+DCh6HyRGJGjJs2/YL/tL7E57tuJqfAzokLJhxpa0eMvX0xvvqvOhr6Y1y3qIqvnlCBfAzNp2XIMERGoDIcnTS9Ai/9EIKNMP5smHQVVM5iZ2gXN7x+M03hFr7hvg59MIe5l5QjHwMbVAcSBn99rY2/vNaG06bwwGemcVJ1Zkgvw7FLRqAyHF0MdsArN8Pup1PpMj75EFQtwmxv5b5dD/L7uj+T6/Bx94m/pvFBJxTCuBlH9z6gqGZy3+vt3LOujYGEwdKJ+dx4+lhKsh1H2rQMGQ4rGYHKcHRgJGHjn2HdbwEBJ14Hs68C1UFHrJPv193MxnAdp5ct5qZZ36WnTmdT9z6WXFpz1HpPwZjOgxs7uH9DB/0xnVPH5XLNyVWZFOwZ3hNCCEzTxDAMDMNA1/Xhomkapmn+1/LWlcdDfQ09Tpgwgerq6sNie0agRhhJkrj00kt56KGHgFRMvpKSEubNm8dTTz3Ffffdx3XXXUdZWRm6rjNp0iQeeOAB3O5MZOl3pGU1vHBDajhv3Jmw+MeQnYoUsiNYz1dXX4tmJvnZ8TdybuWZCAFPv7Adf5GTsdOPPu+pNRTnL6+1848tXcR1i8Vjc/nGwkqOK8s+0qZlGEEsyyKZTBKNRolEIoTDYSKRCPF4nGQySTKZRNM0DMPAsqzhIoQYFo2hYyHEcJ1hGGiaNixChmEcFvtlWUZVVfx+f0agjhY8Hg/bt28nHo/jcrl4/vnnKSsrO6DNxRdfzO9//3sALrnkEh577DE+//nPHwlzRzdCwMZ74NWfQU4lfOJBqF48XP167ya+sfZ6cuzZPDDpFqrGzAZg75Z+gt2Jo8572tYZ5k/r2nhmZy+KJHH+1EK+PL+c8QWeI23aRxbDMEhoGpqmoaU9Dm3IAzEMNF0f9jKGimmaJN/SPrlfH4lEgoSmkUwm3/F5HQ4HDocDu92OqqrIsjxcJElCllP73CRJGi5DdaqqYrfbsdlsw9erqoqiKMPHQ/VDRVEUFEUZFp39/37rhvb96w43GYE6DCxdupSnn36aCy+8kEceeYTPfOYzrFy58qB2hmEQjUbx+zMT3QdhJOD570Ldv1JRyM/8DdjfvFG/2PEK16+/iQpPGX866TcUBXUA+jtjrH6yFX+Rk3FHgfckhOCVfUH+tLaVtc0DZDkUvjSvnM/PKaM4M8f0ntENg1gshrWfRzEkGEMikdQ04okEsXiceCJBMu2lGIaREp2h+kQCXdfflx2SJOGw27Hb7dhttuFjj9uNPTcXl8+H0+nE6XTidrvJysrC6/Xi9XpxOp0fys3/aOCYFaibn9xBXcfgiPY5uTSbm86d8q7tPv3pT3PLLbdwzjnnsHXrVq688soDBOqxxx5j1apVdHZ2Mn78eM4999wRtfOoJ9KV2nTbtRlO+A7MvxqkN7+wT7Ys54cbfsZU/yT+eOL/I8eeDcEOWvcM8p8H9mKzyyy5ZCzSKPaehBCsaAjym5XNbOkIU+S1871TqvnMrBKyncfs1/IDIYQgGo8TGhggEo0SjcWIRKMMRiIEQiECwSAD4fAh9yfLMm6XC0fay7ClvYusrCyKCgpwuVy4nE6cDkdKYNIeiU1Vsac9D3va+9jfk1EUBTV97m1JJiE/f4TelWObzDfhMDB9+nSampp45JFHWLp06UH1Q0N8Qgi+/vWvc/vtt3PDDTccAUtHIZYB/74slSbjvL9A7ZkHVO8M7eJHG3/BnIJZ/G7BL3Grqbm7+h1RXn6hA1+hk3O+UEuWb/R6Hyv3BbnjlSa2dIQpy3Hwi6W1fHJ6EXYl86t5CMMw6OjupqW9nY7u7pQAhUJomnZQW7fLRa7Px5jycnJ9PrK83gOGwxRFGRYYR1ps3C4XNlU9puIxHoscswJ1KJ7O4eS8887jO9/5DitWrKC/v/9t20iSxLnnnsudd96ZEaghtjwIvXVw7t0HiVPMiHH9+pvIdfi5Y+5PcatuhBBseKGT9c+FKB+XzZmXjcXhGr0f62Xbe/jmsvqMMKURQjAYidAXCNAfCNAXDNLd20t7V9fw5L7f5yPf72dMWRm5Ph++nBy8Hg9ejweP242qKEf4VWQ4XIzeb/JRzpVXXonP52PatGmsWLHiHdutWrWKsWPHfniGjWZifbD6dqhcCLVnH1R965bf0Bxp5S8Lf4fPkYNpWrzy72Z2ru9jwiQXiy+rRRnFQVJXNwb5zpO7mFeZw/2fmYZzFNt6uAmEQmyvr2dbfT29+/2As9tsFOTlMXvGDMaUlVFZVoYns8L1I0tGoA4T5eXlXH311W9bNzQHZVkW5eXl3HfffR+ucaOVlb8APQan/ATeMvTyn7YXebz5Kb404TLmFhyPljR59sEGWnYNMPvUEuZOk5BG8Q1/R1eEr/xvHTV5Lu751JSPlDjpuk5fIEB3Xx89fX00t7fT3tkJQGVZGWcuXkxRfj55ublkeTyZYbdRQGpxSRRN60PXQ+hGCEMfQNdDWFYSIQwsYSCEQV7ux/D5Zh8WOzICNcK8XbqNRYsWsWjRIgCuuOIKrrjiig/XqKOBjo2w/bHU5tu8cQdUtUc7ueWNXzI9dwpfnfRFooM6T9+7m77OGIsurGLKvALo6DhChr87raEEVzy6nSyHwn2fnkbOMbYIIpFM0tbZOVx6+vqGN3KalnXAPhxFUSjKz+e0hQuZOnEivuzM3q4PG10PEos1pksTmh7AMAYxjDCGMYimBdC0XiwrcfDFFsgxMIM2EgE3WtBF5QkWs88chQIlSVITEAZMwBBCzJYkKRd4DKgCmoCLhBBBKfWz6LfAUiAGXCGE2JTu53Lgh+lufyqEuP+D2JXhKMMy4aUbwVsEC751QNX2QB3f23ALQgh+PuvH7FjVx8YXOzF0i6VX1FI1yXeEjD40dvVEuepfdSRNi79fOuOoDE9kmiaBUIje/n56+vvpDwQIR6NEolEisRiJxJs3ssL8fKoqKoZXtymyjN1upyA3l8L8fHL9fpTMEur3hGXpw+KRKhFMM4phRjHNGKYZwzLjmFYSy4xjmFEMI4xphFPXmTEsK45ppoplxQEwEipapxctlI8+6MEYdCDCLpRYCbZ4Iba4hj2ZxJlM4NCSOLUETi2BzFBkiTgQp8m04Mx3NP8DMRI/5RYLIfr2+/sG4EUhxK2SJN2Q/vu7wFlAbbrMA+4C5qUF7SZgNiCAjZIkPSGECI6AbRmOBrY9DN1bYenvwZ4K46NbOnftvJd7dz9EviOPH2Xfyit/6CMc1KgYn82J51aQVzx65yaEENy/oYOfv7iPbKfK3y6eMuo33AohaGhuZuPWrUSiUeKJxPB+of3D3eRkZ5Pt9VKQl0d1ZSXZXi+lxcWUFRfjdBx9AnwkSA2hRdC0PpLJHpLJLhLJLpLJTpLJHjStL136Mc13ToK6P6ZwEDXyiJt5xHU/5qAXgj6sgIQIGighDftAjOzQAAUDfZTGB0j5Ci0H9BO1uUg4XCScHjSXh0FvHrrThe50YzrdSH4/jsIC3EWFZJcWMXPK4ZtDPxxjDecDi9LH9wMrSAnU+cADIvVJXydJkk+SpJJ02+eFEAEASZKeJ6XHjxwG2zKMNro2w4ofQ+WJMPF8AHYPNPD9Dbewa2AP55ecy8zN57FvX4yCMpXFF1ZRMT7nyNr8LvRGNK5/ajcvNwRYPDaX288dT77HfqTN+q+0dXbywsqVNLW2kuX1kp/2eFxOJ26Xi/zcXAry8sjPzcVuy+SdOhSEEBjmANF4I5H4HiKxPUTie0kkO9DNIFZSQwmDHJKQAxJGnwMCbizdjS670eRcNLkcYSooSRNFN1E1HVsiiS0WwxmP4kzEQAjiip2EYsOtyOTrXfiTe1CEdYA9FhIxdxYRfyGRSTMYKC1HLq3AW1KMv7iAwpICcvNzkVQbWCIVyUWkQjKFTIsu3aBH1wkmDAbjOq1Jg7BuIA3qlBQfnvfwgwqUAJ6TJEkAfxJC3AMUCSE60/VdQFH6uAxo3e/atvS5dzqf4Vgn3AH/9wVwF8LZfwRJYk33a1zz2g9wKg5+fdytDD5TQFdzhEUXVjF5Tv6o3nwL8MzOXm78z14imsktZ4zjc8eXjOpJ/97+fl5avZqde/bgdrk4c/FiZk+fjqoeW/NkI40QAt0IktC60PQ+NL0fTQ+gGf0k4t0keprQejqR+uMpAQrKyAN2bINOvCGQBx3Y4m/t1SSmaiQU8FhhVGFiMw1MWSGp2kmodjTFQczuIuHwkfSWoTs82GUZj6njsXRchoZsdxL25KJ6/DjcPryeXJwuP8KeBbKMhkCzLGIIYkg098JgSCO8t42w2kJIFYTsMGCHkA0CDtCHP8ICCQuECZjIloG7tYiTxhcelvf5g34KTxJCtEuSVAg8L0lS/f6VQgiRFq8RQZKkLwNfBqisrBypbjMcCfRYSpz0KFz4d3Dn8WTLcn608efUZFfzu+Nv57WHA3Q1Rzj9krHUjvKUGb0RjR89u5fl9X1MK/Zyx7kTmFA4eof0QoODrFizhi11ddhUlUULFrBg9mwc9tHt6X1YCGGh6X0ktC7iyQ4SyTbiwSa0tfWYrX0YyRixhINo0oMZU3FETJxRHVdcwxNPkjU8JJryNnVZJuB00+/2EHC5CZU7GXQ5kdxOTJcTzevB9LpQHTbskoEs6ciyAZKGIRvokoEuGxiyiS5b6DLokkCXIuiyhSELDElgyha6NIghDaBLDRhY6JKJjo6BCUIHDCRhgjCQ2O9xCAtIpAvwbuMVRbOvA44f0fd/iA8kUEKI9vRjjyRJjwNzgW5JkkqEEJ3pIbyedPN2oGK/y8vT59p5c0hw6PyKd3i+e4B7AGbPnj1iwpfhQ0ZYsPxb0LsDLvgbIm8C9+56kN/suIu5Bcdx+6yfseL+DrpaIiy5ZOyozuckhOD/tvdw8/MNxDST6xdX8eX5FaijzNNLahqBYJD+YJDmtjY2bd8OwPzjjuOkuXM/knuNTDNOLNlBz2A73YMd9IZ76IsECUTD9CSiBAwLPapT3jzA9F0DTG4MYzcFhgySLOGVdZxKkIRdYsAN3X4YLBcEvRDIkgl4IZAlEciCsBuEFCM153PoSJKKJNkRkoqQVExUBDIg77cVQ06dk9Ln08eqpKDKdhyyjSzVjlu141HtuBU7TsWOU7HhVGzp8zbcih27oqJKqQgbEukgtPuFGZOQUGV1uCiSwqS8SSP0HzmY9y1QkiR5AFkIEU4fLwFuAZ4ALgduTT8uS1/yBPA/kiQ9SmqRxEBaxJ4Ffi5J0lDE1CXA996vXUcaRVGYNm0ahmEwadIk7r//ftxu9/B5XddRVZXLLruMa6655qMXFNIyYcXNsOcZWHQTVvVibtv6G/7e8E/OKj+dnx7/A158qPmoEKfdvVF+9Oxe1jUPMKssi9vPmcC4/CN/o9cNg87ubto6O2nt6KCts5PwftsfJEli1tSpnDx/PjnHyDJvIQQJM0lEjxA3E+iWjmEZ6JZOTOsmFG1ha2c327qTtIVlIrpJ3ATNhLxEiIJEP3mJEPnxCEXhGHP6Lcr7BP5oqv+gB56fKbNmoovGEjduOYtcNYciZw4Frmw8NgcOmxOHzUGBaqNcsWNTbdhUG4pkY9CS6TUkug2JkC6I2txETYWwJdOvSwQNgZBkQEFINoRkx606KbDbyber5NlU8tKPOapCtqqQpSp4FRmvouBRZdyyjFuRyVEVPMrBUciPRj6IB1UEPJ5+E1TgYSHEfyRJeh34hyRJXwCagYvS7Z8htcR8L6mfEZ8HEEIEJEn6CfB6ut0tQwsmjkZcLhebN28G4NJLL+Xuu+/m2muvPeB8T08Pl1xyCYODg9x8881H0twPl3gQnv4faH4FjvsixswruGnjz3mi5Rk+O+5irpv2Dfra4+zbHmLukrJRK06RpMFvV7bwt9fb8dgVfnbWOD49swTlQ/aaTMsiGArRFwjQk94E29PfT18ggGWlJsj9OTlUlZdTkJ9Pnt9Pnt9Prs836hc6CCEY1MP0xHvpTfTRnwwSSAboTwTpTwYZ0AYIaQMEkyEGkoNEzCimMN+xP8UUFAxAYUhwXADG9AjGdAsq+8D+lnRJul0hVliANK0Ma2wt/lnHUz1/HgvsLr4tSURNi4Bh0p8uAcMiaJgEDYs2wyRkWAyYqb8HkiYdmoG233hPriKTK9nwORUqbSqz7SoVTjvl6VLisJFvV/FkQji9f4ESQuwDZrzN+X7g1Lc5L4Cvv0Nf9wL3vl9bRisLFy5k69atB50vLCzknnvuYc6cOfz4xz8+Jn7pvCu9dbDsSxDphNNvQ5tyId99/SZe6FjB1yZ9kasmfh5JktjwQgcOl8KMhUXv2uWRYG1ziGuX1dMZ1vj0zGKuX1xNrvvw3+wN06Szu5vWjg5aOzro7e8nEAoNCxGALzubwvx8xtfUUFZcTHlpKVme0TUPNuTpxM04CTNBwkgS0gZoDDezL9zEvnAzrdE2uuM9JMyD8yXZJBtu4cFm2pFMFWHZwSpF0b0kND+m4UFYDlRDcHxHFwubmpjS201eNMoB3zKvF6W6GtfHJuAZV4u9qBi1sABbQQFBl4eGpM7ehM6ehEarZtDbGKRH76VHN4lZbz+7IAF+VcanKPhUmTxVYazTxlKfygSXjfEuO7VOO15Df0/RzIVlIZJJrEQCkUymjpNJRFJDJBMITcPSNISmIXQdDANhWmCZCNNC6DoimXjzGl0H00AYJsI0wEy1wzQR1sGPQk9dIzQ9fa2JEFZqpZ9lkXvl5/FdcMF7+yAcIsfuUp3lN0DXtpHts3ganHXrITU1DIPly5dz5plvv4OtpqYG0zTp6emhqGh03oxHjJ3/B89dB85suOifxAonc83a61nTs57vTv8mnx13MQB9HTEad4SYc3opdufo+vWomRa/frWZu9e0Up3r4t9XzBzRDLepVWEGiWSSeCJBMBSiPz1n1BcI0NHd/Wbw1JwcigoKmDhuHPm5ucNLwEfTAocBbZDN/dvY2L+Z+tBugskQgWSIkDaAZh0ckRzAIdup9JRTbC+iVK5ES9qJRJ2EIlkEwn5C8UIs001gP6lxKUnyXQnGey2qcmzMCvRQs6cO95bXkWJR5OxsvCedhL2yAltpKfbSUmwVFST9ubTpJruSOk1Jnd0Jnd1xjd2NAQLGm9s6nZJEhUOlyKZynMdJgU0hX1XIsynkqaniV2VyVYVsWUJKJDACQcxQEKMviBkMYcViCMNA6DpxwyCWTILDMSwgViyGGQhgBoMYoSBWNJYSm2Qy9fg2EdzfN4qCZLMhqSqSoqT+HnqU5QMfFRnkdHu7HclmQ3a5Uu1lGWQZSZZQDuMw8bErUEeIeDzOzJkzgZQH9YUvfOEIW3QE0WOpCBHbH4PSOXDen0g6c/jGmm+zoXcztxz3fT5edc5w8w0vdmB3Kkw/aXQJdmMgzjf/bydbOyN8emYxPzp9LG77+xNQXdcJDgzQ3ddHV08PXb299PT1EY3FDvCGhnC7XOT5/cyePp3KsjIqyspGnVcEYFgGmwPbeLVzDau617F3cB8CgSqpjM8ZR7GriIk543HIWei6g2hcJxTTGIgJBqIqkUguoUgBm4wD5/C8tgjFjkEm2WKUeNqpyHdSXZnPmMJKqvOqyXI6STY0MPDMMwz+61mM3l5kr5esUxaTffrpeObOIYzExmiS9ZEE6yNxdrZHCDQfmCvOp8iMd9k5y+eh1mmn1mVjnNNOhV1FliSsRAK9vR1tXxt6VxdGIIDR34/ZH8AIBOgPBukOBBD/JUvuAewnBLLbjZLrR/Xn4qgZi+z1ItlToiDb7Uh2B5LTiex0IDmGHtPFbkdOPw6JiKSqBwrNUD8OR6ruKOLosva9cIiezkiz/1zTf2Pfvn0oikJh4eHZP3DE6a2Dp74GgQaYdzWccC0GcP1rP2R97yZ+Mfsmzqk8Y7h5f1echq1Bjj+1BKd7dHwse8JJ/rimlYff6MRlU7jrk5M4a2LBIV+fSCZpaG6moamJvkCA4MDAAYsVZFmmMC+PmspKsrxenA5Hqjid+LKzyfP7cTmdh+OlvS+EEPQl+mmKtNKfDBBIBgkkg7REWlnd/RqDehhVUpmcM40zCi7EoReQCPvoaLPYOqjQGXGhmQf+b32OEHnOAcpsGtN9reSZNopNJ2MMDzVSHvnZNageA1teDJHsRW9rR9u0FqN3Gb09vXT09CASCVAUlAULUK/+JsE5c1lpwJZYki31HexJ6AhS69umuu2c7fNS6VApt6tUOGyMcajkqwrmwABaUxNaSyt6Zyd6ZwetHZ1o7e0YPT0HvhmyjOL3o+bloeb6cVSNQfHnoub6UXz+tOD4Ufx+ZLf7Ta9FVZEMI5Ow8BAZHXeCjxi9vb1cddVV/M///M+xN/9kJGDTvbDm/4EzBz71KFSeiBCCn2y6lZc6X+WGGdccIE4AG1/sQLXLzFx4mLakvwf6ohp3r23lwY2dGKbFp2YU862FY942BftQnLpINEosHicWjxOJxWhqbaW1owPLsnA6HBQVFDB2zBj8Ph/+nBwK8/LIz8sbVbmMTGHSFeuhPdaRFp8QwWSI3kQfjeFm9g7uY1A/MGOthIRT8uExp+AOVdPbV8tq800vyC4nKXAFKHaFmVqSpMxmUiYrlMSclMay8CYKUAbKUf1OHGUe1AIF4h1obbtJ1K8h/Py2A8RByDKDuXn0+3LpLiylfdwUWopKeHXWPAay0kNNjan0HYU2heluB+f6vczLcnKcx4lXkTEjEZINDST37iW5t4HYvn3saWrCDOy3NkuSUAsKsJWW4Jl9PLbyCuwV5dgrKrEVF6H4fKmhrveDYbx7mwxARqA+NIaG/oaWmX/uc5/j2muvPdJmjRzCgp2Pw6rbINwOY5fAktvAnfql+Jsdd/Hv5ie5auKVXDr2UwdcGuyJs2dLgOMWFeP0HLmPpCUEj7zRya0vNRLVTD4+rYirT6pkjN+FEIJwJELn0LBcb+9BK+b2p6iggBNmz6a2upry0tJRESDVEhYtkTZ2D+6lN95HfzJAXyJAb6Kftmg7bdEODPHWm6eEHS+qWYSemIoWycdIFiL0bITpQZhuYrJAdfVQ7u1iXuUGqlUv5XEnFdEsCuKF2GO1yKYNWZORnQqSU0EtsiHLYaxkL1aoDq1xD6FXd5NsagIztRrPLCqif+Jkdi45m1W+AnblFdGVV0B1lptyu40Su0KxTWWBTeFkSUKVwC4McoTOFIdMkWIhkjG0hu0k9tQT3b2L4L69GD1dw69Odrmwl5XgObkKe9Fs7AU+1NwcFI8TSbLA1MDUQSRA7IKBOhh4yyIJYaXDApmpYysdaUGYqWOsdJt0MXSw21LZoy0jtfVCiHS9+WZ/iP3O7/ccVqpvYRmpua2h50m3Ewddn+5jyNb0+QPbWUj7P8/QtVgMx4Z98wAJMfxnaNpXyPvkzz74B/RtyAjUCPN26TYg9Uv7mKVjI7z4A+jZDoXT4Iz/B2OKMTjIAAAgAElEQVROGq6+f88j3Lv7IS6u+QRfm3TgnJwQgrXPtKGqMjM+duS8p8ZAnBue3s3Wll4WFcT5WLkDp9zImld28lIySV8gQDT25iZLX3Y2Bfn51FZXU5ifT3ZWFm6XC7fLhcvpHBWekWEZbOzbzKtda9gRqqc+tJuo8eZrUCSFXIefLNWP0yqjXJpKTzCLvoEshJGVFiAXhV4X5T4nJVkWeb5esqQGHPLzeB3t+BwD5CXzyO6dibdnFo7uMag+B/YyN/bJHhxlHmSvSXLPHhL1O0ns3Eli9x70trbUirA0wpdNtLyQ/pOn05Xvor/IhewCt5mgUGzl21KC0nCM3FAMmxEDSx++wQtTAz0ORjx1k90PCXCmC9nAzLd7p9KR1kLp8j4Q6Y2z+z8KZIQkkbqdpwqAEBKWpKTbSPuVdJ0QaV0R6ZIOjUdKP0whMA0r3U7CQkqHzRvqf/9Xn74u3XfqbyldpwyfH2rD8HHqUZJkJCn1miRJSm0OThcp3Y9XyiPv/b1t70pGoDJ8MLY8lFoI4SmEpb+DiRekd7Sn+E/bC9yx7U6WlJ3C92Zcc9CQ5hsrumjcEWLB0nLc3g9/b45pCf68pol/rdnKWLmPi50DEBY0NdiH54Mcdju11dUUFxZSUlhIUUHBqI3aHTPivNazgRc7XmFF1yoGtEHssp2JObWcXroEv1yFrJfRFXSzp1tQ3xNnn5b68ZTrtjG7PJvZk7Op9rvIpxtnbBOJ5EbCYhu6mho6k3UPnr4peANnkyPPxp1Xim2sQBnfg9m+jeS+3WirOoh09qJ1D2AMvJmOQ/FK2HMt3LUJXJ4k9iwDe7aB6uwA9ouU1pu+SdrcyHYPwuZFyE6EsKFpLqyEjBkFK6phRnTMBAjDjWVKCFNCzspByS9CLSzCVlyKraIa2Z+LaUnomo6haxiahqFr6LpBUrNIahYJzSCpGSSTRuo4YZBIaiTjceKxGMl4Ai3xNnmS3gVJkpAVFVlRkGUZWVWRZHn4WJZTq+lkWUax2VBsNlSbPXWsplKXSIqCoiioDgd2lxuHy43d5UK1O5AUGUVJ96moyEr6UZZTiyWGBEUCRVGRVRVF3e8xbZuiqiiqDdVuR0nbeCTJCFSG94epwUs/gq0PQdUiOPsPqTmn/djQ9wbf3/ATjs+fyc9n34giHehVNNeHWLu8jXEzcpm16MPznkzLoqOri8279/HK1j04tRAnKhZej5dZU+cyfdIkCvIO12/Ckac92skrXat5tWsNr/duQrM0smxZzM2bjz05jb0tFWxvMFmdGBq+M/HYokzIcXF+STbjbTamO+yUymEG1XUMRjYQMesI2AcAUHQfntB4isKLyImpOGIhiPZihpZjhh4mFoyS6JPQwm/eThS7hS3LwJ4Lco2daKGLgaIsBrKzGVS9xGxZqE4fTrePbLef8pwCxsh2bL1hkh0BtO4AelcPekcXWlcXiYEQumKgKwqGImOqCiKvCCnXj8jJxix0YzqdGDYVU5ExLQtdS2KENbTeCIl1a0lEI5jvNv8jSdidTuxOF3aHE5vTid3pJLswlwJ3ShScHg8ubzaurCxc3izsTmdKRFT1gJv/0M1eGVpRN0QymVkkcYhkBCrDeyfaC09+BdrXw5yvwUnfBflA8WkYbOTqtTdQ7inlt/NvxaEc6HGEehM89/d95BW7OOWiqsO+WCQai7G3qYndDQ3sbW4mmV4ObAg3RWPGs3TuVKorK5GPkkUrgWSQZ9te4qnW/7A1sAOACk85pxSejU9MY1tjIcu2RhDA1HyFMwvdlBsSZVGT0gGTUl1C6hMkE41EC7YR9W5hR9Zu3HsE2f924I2qSLoHDIHQ4whjMxabOShJmyJher0ES/w0zC5h95hqto2ZQEduGXZ3HoVOJ8WKRJksKBMmxVqMcYE+1OYGok1tRHobiIWCbI+EecM0MRQZQ5YwFQVLVTBsEmaFHyr8b33mFFoYesPQS0pUXGlhcThQ7XbsLjdeXy5Orxen24vL68XhdqfapoXI5nTidKfOO5yuI+41ZHiTjEBleG8YCXj8cujfnUqRMfG8g5r0xvv46uprcch27jrhV+TYD9zIpyVMnrlvD7IisfSKWmzvc0/RodDU1sara9eyryWVlM3lchNQC1gfdlBaUsptF0ynwjd6lnL/Nwa0QV7uXMnz7S+zuvs1TGHiVyooMz5OqH8idYEc6tJtq3J0rqrMZfGAoLQvlRoBp4Fa0oAYswVT1GFq+3Alo/gTFu69KvpeiY5VOagOA1d+DEkBSQXL4WLQl09bbhlv+KpYmzeeZl8ZoaxsYk4XeTKMt5LURAaoCHTxmaZmpNWvEh0cIJpMYKRn04emePZPeSAJgQMJuy8bu8uFJysbR04OjqxsbGmhsTmcOD0enB4vTrcHh9uDzenAZk/V2x0pLycjLMceGYHK8N54+cep7Lfn3wvjlhxU3R7t5KrV1xDSBrnvY3+kzFNyQL0Qgpf+2UioL8H5X55Adu7hmctpbmvj5TVraGptxevxcOK8+eyIerl78yAgcc2iMXxxXvmHHj/vUBBCMKgNsjPQwa5AO7tDLbwRfI02bQcCC8nwkRw4EX1gFlGthPEFHuaVuBk/2c7EUCuVLfXkR7pRYn3I2R3IRZ2oyV5siThSJ5DO1iaQMFw5JD0ldHV6ib/aQaLUz4ovXMh6bwk7HAX023xYkoLNNCgO9VHY340/0M28ffVkDwbwDQaxG29GOjCFoN+wcOo6btOiwOXFk+NPeS0uN3aPG0e2j+yqKnwTJuIur/joBUzOcMhkBCrDobPjf1NzTnO//rbitCu0h6tWX0vS0rj7xF8x2T/hoDZ7twRo2BpkwdJyysaOTIgUIQQD0Sht9fW0dnbS0t5OZ3c3Xo+HMxcvJuIp5ycvNtEcHGDpxHx+cFoNZTmjx2tKmknWdG7j6cbXeaN/C73GHoR8YDY7K5mPEl9EqTKb2qxa5tUmmONsp8bajK2/Hqu9DrmhCYn0HIsNLAmShkxSkQn6fPS4ZrJPraWxz0eTyGefO5+ozcncui1c+cw/2TBpGr+47CvY9QS5nb1MDG4iL9hDXrCX3FAfHtPChYRLUXHaHLidTly5Rbg9WXiyc3D7fHj8edj8fuxVY7CVlGS8mgwfiIxAjTD7p9uorq7mwQcfxOfz0dTUxKRJk5gw4c2b9rXXXstll112BK19D/TWwQs3QMUJcOJ1B1W/1rOBb637Hh6bhwcW3sW47JqD2kQHdV55vJmiSg8zT/5giyIsIWjr6GDnnj3U791LcCA1oa+qKmXFxZyxaBETJ07hlytaeHRzPWPzXDx0yTROqn6HuYwPmYFEkod3ruLptv/Qor2OkFJeiNCKKFRmU+6soMxTRHV2CVM8WczQO3F1b4LOvyO31yE1Dgz3lVRdRDwK4XIbUY+TPreXPYnx1Mcms1seR0NONZ5YkiWvreTU11czOdB3kD1tRQVIOSq/euZBPFnZeAsK8JaWk71gNtk1Y3Hl+I69TeUZRj0ZgRph9g91dPnll/OHP/yBH/zgBwCMHTv2kMIgjTqSg/DEl8GRk1qtJx/4sXm+/WWuX38TVVkV3HXCryl2Hxy+SQjBK/9uwtAsTr24GvkQh9Ysy6KhuZnu3l7iicRwae3oIBKNIssyNWPGMG/sWConT6YoPx9FUdjQOsD5922lNZTgqgUVXPOxMTjUI/trvica4S9bVvFcyzp6pdeQbQMI04kvPp2Z8XJOHZCZ2d2NEmrGYVuPwx3ElR3GkZVa0CEEJISXiCuLgXI33bkGe7yVtBi1RNvyMLoUXAGN3OAA7kScyXorsxO7yA/2U9bfhyVJJMrL4OTz8VRV4c4rwOF2Ibs9TJw1M+PtZBh1ZATqMLJgwYK3TbdxVGGZ8MzVMNgGF/0TPAfGolvRuYrr1/+Iqf7J/P6E2w9aEDHE7k39NO4IccI5FfgLXe/6tH2BAJt37GBLXd1w/DpZloc3wlaWlTFp3Dhqa2pSe5I6OqCoCMMS3P5yI3etbaUsx8k/LpvBnIp3S1o9MgghsAYH0bu60Xu60Xt72NG3i/81m3nd08eguwdJNsEmUdSdywk7Cjhvcy/ZxlrcBUm8VQJPaQJHaWp4z5RUwq4cOrNzacx3sjF7AjuVifg2GeRtDlPYE6C8p5Pjeldj228jeNjjBZcTl8OBw+vFUTuWrMsvI3vJ6ahH0fL5DBmOWYH65fpfUh+of/eG74GJuRP57tzvHlJb0zR58cUXD4hm3tDQMBzpHODOO+9k4cKFI2rjiLPiZtj3Apz2Cyibc0DVmu71XPvaD5joG89dJ/4Kr+3to2xHBzRWLmuheIz3XfM8JZJJlj37LDv37EGSJGqrqznrlFMYO2YMdpvtvw4zdQwmuPrxeja0DXLRjCJ+dPpYvI6R/4gLy0JvayOxaxeJ3XtI7N6N3t6O3t2NriXYVSazfIaPrTUGifxYagd/vITK7smcEXFztvDjz9ORT2jANqsT92A3srAwJInGnEJez53P+pxpbPWOJyTyCUk5xORUfLtzVr7AFx/+K4aiMJCbh1GQT2zqJApqa8mfPg3vxEkoXu+Iv+YMGY4Ex6xAHSmGYu61t7czadIkTj/99OG6o26Ib9Nf4Y174fivwIzPHVC1sW8z31z3XaqzxnD3ib9+R3EK9SV49sEGTEO869Beb38/jy5bRnBggEULFnD89OlkHeLN9qXWKNeubkI3Bb+9YCLnTxnZKPF6Tw/RdeuIrF1HdP16rMF0ugZFYc9x43hpYR47clW6XR0IWUdYUYiPY6o1i8tLajjFHcDqehWrezWOUBfqoAWD0ObO46mSJTyZu4g1vlnEFSdOQ8OXiJAVNqlQZI53mExy6czXE+Q+/jCu2bOp/P2d7z9YaYYMRwnHrEAdqqcz0gzNQcViMc444wz+8Ic/cPXVVx8RWz4QDS+kvKdxZ8LJPzigaktgO19f8x2KXUXcc+Jv3nFYb8+WAC//sxFZljjjc2PxFbzzyrn6vXv59/Ll2FSVyz71KarKyw/JzKRhcceKJv78WieTizz8/uOTqMlzv/uFb4MZiaS8ovp69M5OjP5+jL4+jJ5e9I4OAAZKxrD35E+yr6iGOlVmp/o0pvd1JElAMo+xiWpOFzpnJ4OURddhM56H5lT/hizR7fGxNe9ElvtP4uXcOQQVHzWhPiZaMb6thZhbVMjMymrsb0mzISyLlq9/nYQsU/qjGzPilOEjwTErUEcat9vN7373Oy644AK+9rWvHWlz3huta+Hpr6UCvy6984DYestbn+fGjT+jwJXPXxbeSZ4z96DLDd1i9ZMtbF/bS1GlhyWfHUu2/+D9TgODgzS1tdHQ1MTWnTspLSri4vPOI+cQM3TW90T51rJ66nuiXDYxh++fPw3ne1gIoff0EH39dWLr1xPfvgMtvZkXQPZ4kPPy6CiuoW7GLHYsrmKrlENLxATJwCnWYM95EUnSOZMavhQOUdu3FRkTU5IJe1V68yTC7iy6pRpedpzJP3yL6Le7yTMtTnXI/LLUz8l5PjzK+He1NfjPfxLbsJGSH/4AW0nJu7bPkOFYICNQh5FZs2Yxffp0HnnkERYuXHjQHNSVV145uryrQAOsuhX2LIecSrjgXrClFjRYwuL3dffw510PcFzeDH49/+fkOg5esh0OJVl+/15622LMOrmYeWeVoSgp0YgnEjS2tLC3qYnGlpbhpeFOp5M5M2ey5OSTsR1Cxk9LCO5d385tLzeS7VT528VTWexOwDuIkzAMtPZ2tJaWVGluIbZ5M1pjIwCK349rxnRylp5FYuxEnhYFrO1Osqk9zGDCACxy1R4mFrxBlWM3zVYLAZIsjCW4rj9AldFE1OFme3kBq3Nn8Lz3VDqkaoKKjwEplYZdBk7JcfPZ/GxO87lR38OSba2lhZ47f4/nxBPJOe/gyB0ZMhyrZARqhHlruo0nn3xy+Dgej7+1+egg1g9r7oCtD6cE6cTr4PgvgS01VBYzYtzw+s283LmST1adyw9mfgebfHDk8Y59Yf7zwF4Mw2LpFeMoqnHS0NxEW2cnjS0ttHV2IoTA4XBQXVHBvOOOo6qigsL8/EOKgSeEYGVjkF+/2swb7WFOH5/HrUtryfPYU6v40ug9PcQ2byaxYwfx7TtI7Np1QCpuJScb56RJ+M49F8/cuThqx7G9O8rvNnTwxPpW8lyPUZrdyOSyPsLKIF2yhibBNqBQM5iTSHKyDlnuEh6vPYk1ObPYaJ9NTEq9X2PsKuNddkrsKiU2lRK7wsJsN2X29/51S+7bR8ctP0FyOCj5wfcze5EyfKTICNRHnbZ18NTXId6fWgix4FvDSQYBmiOtfGvdDewbbOaG6d/ikrGfOugmKYRg+9peVi1rwZUnKJk2yJOvPU7gP6nQopIkUVJUxMJ58xhXVUVZScl7SuAnhODlvQF+u6qFLR1hSrMd3H7OeC6cXjRsi97by+CKFYRfeJH4tm2p53U4cE6ciP+Tn8RROw7HmDHYKipQfT4AmgJx/lHfx8pXX4L4U4icHWTXRAjLEg1CUKEbVCQtZgiVLJuPsGsqb2Qv5N9ZY3lIcSMJQZ5kUeqy80mPhwVZThZkuSh5H0K0P0Z/P4PPPc/AM8+QqK8HRaHspz/BVnDo6eYzZDgWyAjURxVhwfo/wurbwDcGPvEgFE4+oMkrnav53oabUSSFu0/6NQsK5xzUzUBfgrXPtFG/swW5vIdeo5PmnYJx1dXMmjKFitJSSouLsdveX66ntoEE1y6rZ33rIOU5Dn6xtJZPTCtE6ulm8NlniW/dRmzrVpK7dgHgqK2l4KtX4TnhBJzjxiG9ZchwIGHw6KpGdm17Edl8iWhWE80+k8E8hWzTYm7cjtM9nV3+xWz3TGC9khridFoak6Jhjo85+arDz7RxOZQVebGPQCy/6GvriW7aSHL3HhJ79mB0d6eec9JEiq69luwzlqDmHjzXlyHDsU5GoD6KxAKw/GpoWgETzoclvwT7m8u5LWHxp/q/8cedf2VSznh+Pf8XBwR9NS2L5qYO1q3cRUtbJ7oaxsyPYRc25s6axfzjjsN3iAsd/hvP7Ozlhmf2YFmCWxeVcka8mcQzf6PlxrXDN3HJ5cI1dSoFn72U7I9/HHtl5cEdCUFvyw42rnmKhsAKdmf1sKbATkKW8ZhQRiE2zyns9p9BkyRTRSNjtX4uDe5gbDCPSfZKxlfkkjWzBvVtFnt8EMKvvErbd74DioJjzBjcM2fiqB1H1sKFOGoODheVIcNHiYxAfdTo2QHLvgDRHjj156lhvfQwmWZqLG97gYf2Pkb9wB7OqzyLG2ddjzOdy8kSgs1b63jh1VXEtNRcm83toKq8hHE1VcycMgWX84MHYY309HHfwy/RuHkn1xsB5lgBrH/tpcs0kT0ePHPn4r7sMtwzZuAYW5Pykjo6oLT0zU6EhejYROeGf9HV9hyrXAmWeT30lKh4TBelUim7cj9Bk+c4FPYxP7mLL3T9h+m9eRR6Z+KtPB7HdC+2YhfSYYp4bgQCdP7sZzjGj6fqr39BHoH3LkOGY4mMQH2UqF8Gz34bnD749L+hOLWiMJQc4JF9/8uj+/5NIBlkXHY1P599I+dUnIkkSak5ph17eW7Fq4STIRTdTY3/OE4+fQqV1QUfeOJe6Dodr22k4flXEJs2UNjVzKnpOiU/H2dNDc7PfQ7vCQtwTZt20LDdAQT2see1e3i9/QW223TWuZz0ljhAOJBtExnwnUGvayZ9xFic2M65+15hVngK3rJP4pyUjeNML/JhzE81/JqFoPOnP8OKRim7648ZccqQ4W3ICNRHAcuENb+ETfdA6Rw47x7wFKBbBv9ofJw/1v2FQT3Mx4pP4LPjLmZ+wexh0dm7t4Wnnl1BKNGLbDoYn388S86aQ37J20eOOFSEaRLbuJGB556n59kXcCSi+CWZvQXVtJ7yKSadsoCZ86eh5Lx9HD0hBEHToiWp0xKN0rvpXww8u4w6e4D1Tgci147N9II0lppsF1O8GgWyRV5oGwXtMaZ7Z+OrOhvHDC9qtv0DvZb3Q2jZMiIrV1J0zTU4xo790J8/Q4ajgYxAjTDd3d1cc801rFu3Dr/fj91u5/rrr8fv93P++edTXV093PaOO+7gtNNOO3zGCAF7nocXb4bu7anhvMU3g2JnTfd6btv6WxrCjcwvnMP1066mNufNG2VbRxdPPvMy3QMdyJaN2oIZLD3nBPz57y9Kg6VpJPfsJV5XR6KujsjatZj9/RgOJ6sKJqMuPJmTLjiFC6oL39Eja9cMnglGWNlWh979Er7oTlStnTBhtjjtGDkS2ZqP3MR4ZhYanJazFY9ch0/Mw7V7Fu7WKXgmFJOztBQ158MXpSG0tja6f/Vr3HPm4P/0xUfMjgwZRjsZgRpBhBBccMEFXH755Tz88MMANDc388QTT+D3+1m4cCFPPfXUh2NMy2vwwo+hZQ34q+CM38HUTwBw986/8Yedf6bcU8pv599KjVlN3cY9bIrsIByOEAyGiSYjSJZKmXsi51+wkMKy977oQe/qJrxiBeEVK4hv3YrQdSC1MdY9axb7psznS41els4s51fnTThImEwh2BKJs6tlE+Hmtbj6N9EmGqh3y8RlGRRw2yFHy2Fy1Mnc4ghTfAEUtpITmY277mu4OycjW3ZsJS58l5bhqDhygVStRILo66/Td8+fkVSV0pt+lElxkSHDfyEjUCPISy+9hN1u56qrrho+N2bMGL7xjW+wYsWKD8eIYDM8fyPULQNPISy9A467HEKp4Karu9fxx51/4eyKJXyr5musWLWWV/e+jqqo2CQXZlxBMtzkO0tYcuZ8xk879KCrQgi0ffsIv7qS8IoVJOrqAHDU1OD/9MW4pkzBNXkyanExdd1RvvLAZiZVevjF2eORJImYabEtlqQu0EO8aQXFbSs5qX89eWKQv+Vk80SWB0tSOcVehOgr4+nu0/C5Inx+xn0U20J4e2aR1TgHd/8U7HlZOMo92I/z4Cj3oPjtH8omV0vTMPr6MAcGsMLh/9/encfYWd1nHP+ed7v7vTOeubMvNvbgBdu4xgubqXGhahIRTIG0UkNbqS2FgNRQJari0qZCFa2E1KqNKA2NWhq1alpqpaIsAQIJsZ1gvGEc4zHeZ8ae8ex33973Pf3jDsYG2zReZq7x7yONRu/7njlz7pnRffS+59xz8DIZ3PEJ8u+8Q/btt9HFIkYkQus3/xy7+fwruwtxtfvMBtTQk09S2ndpt9sILFxAy4YN57y+d+9eli9ffs7rmzZtOmOpo40bNzL3Uo0/lPOw+W/hp38PKFi7AW56BAIf3TEM5Yf5xjtPsCiwgDWZW3n2u/+OoUySqgd9vAknYNNz/SwWrGykpTv6qW/ofrFIub+fcn8/hd27yfxkE5WBAQCCixaRfPQRYmvXYnZ2MZwtkYXq12ie339+L+H6AJ+/s5vHB0YZGj7IvBNvccfYT3lgcjcmPptCdfxxYwu7A1EUJk52CWpyJT8otpB3I6xreo8/jA6TPP4V6oLzCVzTgr0qhJUMYtgXd2fiF4u4o2O4oyO4IyN46TReJlsNnWwGXSrhl8rochldKuGOj1fLTU6etT6rqYnEF75AbO0vE7nhBtQFfi5MiKvJZzagasEjjzzC5s2bcRyHp5566vI84vN9+PnG6uO89AAsvhfufAIdb6dUKpEdHSWTyTB89Aj/tedFbkrfTMgNsY3d1BsdGIMdxOti3HB/Kz3LZmGfZwab9jxy27eTevEl8jt34g4Pn7qmbJvwypU0PPBlomvWYCeTuFrzv30TPPH9PQxrH22b4BhoS9G9uMCa3B5ibz3Lo6k9zC5Ug+2Q1cXXg7ewuS5HMTQKniaYWUGi2EMUh6hpEnWK3BxP8OvLfoNgTxyrbmrDwrYL34xPa02xt5f0q6+RfuMN3KGhsxe0LMxYDCMURDkBlOOgHAe7uZnQksVYySbspiRmXT1mLIoRi2FGY1jN5x5bE0Kc3Wc2oM53p3O5XHfddWzcuPHU8dNPP83o6CgrVqy4PL/w6GZ47XE4sQtalsK9/0Su8XrefPNN3nvvX6lMjfl8yDJt2ltbqct0M3HQIRGNs2J9GwtXNZ5a0PVsSocPk3rlB6Refhl3eBgjFiN6yy0E5szG6ejE7urE7uqiz7B4K19mT77Ert7j7J0cZ2nmfb6s3+Pa3DFay+O0lEdpLI8R9Ktr43nBelTbSjbre/mToRypWTtQzjGSJtwVL7PKBGcwQ8hRdM6/jdbFPZgXuQmh9n3ckZHqwrH9/ZSPHiWzeQuV/n6wLKI33kjonvVYySaspiRWQyNWXQIjGkUFAhI0QkyTz2xAzYR169axYcMGnnnmGR5++GEA8vn8pf0lngvHtsDWb8P+lyDeDvd8G++6+9ixcydv/se3KJVKNM1rwg25ZIwMY94YWya28MXWu2natpqxkwVuuqON5be3Yp3jUVjp6DHSr79O5oc/pHT4MBgGkZtuovmrf4R96xo+8BV78yV+XijRmyswtmsXbbljzMv30ZPv44vp/VyXO4CFj1YGJLpRiRaIzIFIM7puNuXoEjYdPMI3+99lMv4mRkuKFlPx+ZjLUm8OTdFfZe78e4jc9unL/PjlMqW9eym8v4/i/l78XB4jHMIIhTHCIfxMlvKJE1ROnKAyOHjG4rEqECC0ZAkNv/0A8dtvP+fUdiHE9FJa65luwwVZsWKF3r59+xnn9u3bx8KFC2eoRVWDg4M89thjbN26lWQySSQS4aGHHqK5ufkT08wff/xx7rvvvnPWder1FNPQ9zbsewH2v1xdfdyJ4d/6VUbmfoljx4fYsWMHJ0+eJNIc4cfhH3PcO0a0AI1lh27dwILsSsyT61BoVs86QNI/ji4W8UsldLGEXyjgpVN4qTReKlV9A1eK8LJlGHfcwdElczhanGBkvJ9i+gStxSG6C4nhtcsAAAlySURBVCeYXRykszSE7X90tzapIxxSXSTm3sK8ZWvxEtdTHPGYGNnD+OQusvoD3rOO8FLR54hXQCmfRiJ8KZhg3TX3MrdnPZYZwkunyW3fTm7rVionTqDLFXSljF+ugOuiPQ/tumjXxR0ZAc8DwKyrw0wk8AsF/HweP5/HCIex29tx2tqw29pwOtpxurpwurqwmppkNp2YPqUSNDZ+ermriFJqh9b6E4+aJKBqjdZQKUA5y779H7DwZ4/B6AFA49sxhrvv4kj0Bo7mghzrH6BYLAIQthT2yLs0HtzP3HEHp1RPOtZFJtZNOtZFOnENscwxFu/9DiE3XR1HCQarj6wCAYxQEDORwEzEcWI+1FcYryujJ3rpmOgl4p+5VUjZiaMTXTh1XQwaLbx2MspLJ+s46XSyfsUCHlgcI3dwC2PDWykGP6CUOEoRl3dyFj9KO4x7mnA2TMtYDw+1LuCmWfPxUxm8yUm8iUmK+3sp7H0ffB8jEsHp7kYFHAzbQTk2ynbANFGmibJMrFCI4MpVhBYuwGppOeMxnNZaHsuJ2iEB9QkSULVIa/Aq4JXBLUIpC+UMvu/hYtLbN0Zu07+R0g2MeSH6y4ri1N8rms+THBoiOTxC3UQeiDFRN5dU8yKy4dlUqM4SM01NQ4NBW7PB8ttbCDTUUQwEOFh06UsNkxo5iDt+kMTEAeak9jE3/QFRNwdAUTnsj/eQSy6hsXUxXY2zCSbaIdZK0QjzP7v6eGXzu7QV+5gfS9HZmCIQG8UPn6QSGUKjqbgBBkdbeHvSwTsxxMK+MouP2LSPVbDO8b9nJuI4XV1EVt9IZPUqQosXn395I/jkWnxC1CoJqE84V0DJGNR08j0oZdHFFH45i+95uL6Jpw1cbeIqG1fV4ysFSpHTWV7NdaB8n3A+S+NElpAboqjrKdrXkg6tIjM7gZr90cy7+tYI7T1xrO4oVnMAQhUKhRQDJw9x6MB2Qm/30po+wILcEZZWPpoSXTYc+uI9bOv4HH3x+RyPLqAruYB5hkllcpTekf3sPryVUnmU457NKEHKlk8oqRn0HI5WgtgDAUJjjcQybdTlh6gvDZMsTNKdHWT1JBgayqbFcFcPuRsXce21nZgNs7AaGrDq6zHr6zFjsU8PIyHEVaFm3gmUUr8G/B1gAt/RWv/1hdQz049zfN/HLRVwS3l81wXPQ/t+NYy0xsPEM0y0qm6ax4dDH1pj+D6W72MoA0MpAhissTtxK4pJM0+pqUzFKaEDReLRQ9RbWeJMEvUmiLgpTL+A5RYIHi0QPlQk6uUxOPMupWQGGUvMIzf7V/AaewjFZ5O1mtk/abG7t5dC32ESxgHmx3YS7k/Tn9GUj3lw3IRJi3CmzOpiiohbBDRK+YAm4HpY/mn9oGAiqsgkwuQ72xm+dTHz191Jy8pfwghc2i0rhBCfTTURUEopE3gauBMYALYppV7QWr//i9QTDAYZGxujoaHhkoSU1hrf96tfnofvlvHdCr7r4vs+2vOq2zr4GrSPr0ArBUqj0Bj4GFPfLUNjoTnVKgUG1XJKawzlo8zqMdpnPOdSn9rB8so3quVDpzWsDIyDh8G4nWDUqWPIipNy4mSCCXIGFND42Pi+ifYs/Ioi4ztkMCmXPSrDE/gnf4ZR2QJlH7vgEi5UiORdrIJHdrxC+/ECswvViQd5RzEeU4wnNL3tkAtyKvoswyIQjqNbkgQ6Oqnr6qFrzlJWJZfimDO35p0Q4spWEwEFrAIOaq0PAyilvgfcDfxCAdXR0cHAwAAjIyPnLVfIZ3EL2VPHauqt9rRh9TOO1cfuQk4/Pvsoyse2RIdT0aTPOD91Tp1Zl9aa9Phx3n3recr5HvA1ytcoTfXWxAfDB8P3sHwPyy9j+6PYLtguRFxIfFhGawwNpgehMgQrECxDqATmOYYfPQXjcZN988IMXJNg9NpGVGcDs4L11DlxEk6CjsAsOiJtdETaaQjUyyQEIcQlVysB1Q70n3Y8AKz+eCGl1IPAgwBdZ9k51bbtM6Zxn8s/PPkVbv/ujy60rdOiDjjL3rCneAa4hsIzDTzDwjMNXNPCMy18y8Y3bLSh0KYCQ4Gt8OuDFIIhSuEI+WiceHMb9U1J6pON2Ik45qxZ1Sna8TjKMLhtul6sEEKcRa0E1P+L1vpZ4FmozuK70Ho+d/+jvO4ECQYTWMEIVjCMYZsYykChMJQCw8C0LBzbQhkWJga2aWIYBo5hYhkKZRgYGChlYqIwLBOlDAxjqh7DwDANlGFQdH1sy0GZDrbtYCgLSyksw0AZYBqKgFn9mQ8pywLLQtl2dTq1aVaPL+QzO6OjIGM/QogrSK0E1HGg87Tjjqlzl8WcnkU8+LW/uVzVCyGEuARq5ePz24AepdQcpZQD/Cbwwgy3SQghxAyqiTsorbWrlHoUeJXqNPN/1lrvneFmCSGEmEE1EVAAWuuXgZdnuh1CCCFqQ6084hNCCCHOIAElhBCiJklACSGEqEkSUEIIIWqSBJQQQoiadMXuB6WUGgGOXWQ1jcDoJWjO1Uj67uJI/1046buLU4v91621Tn785BUbUJeCUmr72TbJEp9O+u7iSP9dOOm7i3Ml9Z884hNCCFGTJKCEEELUpKs9oJ6d6QZcwaTvLo7034WTvrs4V0z/XdVjUEIIIWrX1X4HJYQQokZJQAkhhKhJElBCCCFqkgSUEEKImiQBJYQQoiZJQAkhhKhJElBCzDCl1F8opb52nuvrlVKLprNNQtQCCSghat96QAJKXHXkg7pCzACl1J8CvwMMA/3ADiAFPAg4wEHgAWAZ8OLUtRRw71QVTwNJIA/8gda6dzrbL8R0kIASYpoppW4AngNWAxawE/hH4F+01mNTZf4SOKm1/pZS6jngRa31f09dewN4SGt9QCm1GvgrrfW66X8lQlxe1kw3QIir0Brg+1rrPIBS6oWp84ungqkOiAKvfvwHlVJR4GbgeaXUh6cDl73FQswACSghasdzwHqt9W6l1O8Ca89SxgAmtdbLprFdQswImSQhxPT7CbBeKRVSSsWAu6bOx4BBpZQN/NZp5TNT19Bap4EjSqn7AVTV9dPXdCGmjwSUENNMa70T+E9gN/AKsG3q0p8BW4EtwOmTHr4HfF0ptUspNZdqeP2eUmo3sBe4e7raLsR0kkkSQgghapLcQQkhhKhJElBCCCFqkgSUEEKImiQBJYQQoiZJQAkhhKhJElBCCCFqkgSUEEKImvR/aEGSdXMaJtUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dati = refined_province_data.set_index([\"sigla_provincia\", \"data\"]).sort_index()\n",
    "\n",
    "# Create a set of the cities with the highest cases \n",
    "interested_city = list(set([item for sublist in [list(city.index) for city in cities_with_worst_cases] for item in sublist]))\n",
    "\n",
    "# Collect information about these cities day by day\n",
    "for i in range(len(interested_city)):\n",
    "    dati.loc[interested_city[i]]['totale_casi'].plot(\n",
    "        kind='line', \n",
    "        label=interested_city[i], \n",
    "        title=\"Number of cases for top 14 provinces\").set_xticklabels([])    \n",
    "\n",
    "plt.text(25, 22000, \"Lockdown effect\", color=\"r\")\n",
    "plt.axvspan(15, 29, color='red', alpha=0.05)\n",
    "plt.axvspan(29, 72, color='red', alpha=0.05)\n",
    "plt.xlabel(\"date\")\n",
    "plt.tight_layout()\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "To help us visualize the spread of the virus through the provinces, we could also draw a map of Italy and highlight the provinces with dots with a different coloring depending on the number of cases per province. \n",
    "We have selected four different days to show the evolution of the desease.\n",
    "\n",
    "In order to do this we used the library [GeoPandas](https://geopandas.org/) in addition to a [daset](http://www.diva-gis.org/gdata) of geological data of Italy, that could help us plot the whole country.\n",
    "Different shapely files were available, with differents level of details. We used a <code>.shp</code> file with regional informations in order to keep the view simple.\n",
    "\n",
    "We will now describe step by step how to plot the described view, starting from the loading of the geological data file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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>NAME_1</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>POLYGON ((13.91542 42.89561, 13.91542 42.89542...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Apulia</td>\n",
       "      <td>MULTIPOLYGON (((17.94931 40.05375, 17.94931 40...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Basilicata</td>\n",
       "      <td>MULTIPOLYGON (((15.71736 39.96792, 15.71736 39...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Calabria</td>\n",
       "      <td>MULTIPOLYGON (((15.80208 39.70014, 15.80208 39...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Campania</td>\n",
       "      <td>MULTIPOLYGON (((14.25264 40.54153, 14.25264 40...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       NAME_1                                           geometry\n",
       "0     Abruzzo  POLYGON ((13.91542 42.89561, 13.91542 42.89542...\n",
       "1      Apulia  MULTIPOLYGON (((17.94931 40.05375, 17.94931 40...\n",
       "2  Basilicata  MULTIPOLYGON (((15.71736 39.96792, 15.71736 39...\n",
       "3    Calabria  MULTIPOLYGON (((15.80208 39.70014, 15.80208 39...\n",
       "4    Campania  MULTIPOLYGON (((14.25264 40.54153, 14.25264 40..."
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set the filepath of the file, and load in a shapefile\n",
    "fp = \"shape-italy/ITA_adm1.shp\"\n",
    "map_df = gpd.read_file(fp)\n",
    "\n",
    "# we drop some of the columns of the dataset, that are not useful to us\n",
    "map_df = map_df.drop(columns=[\"VARNAME_1\", \"TYPE_1\", \"ID_1\", \"ENGTYPE_1\", \"NL_NAME_1\", \"ISO\", \"ID_0\", \"NAME_0\"])\n",
    "map_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "As we can see, the <code>map_df</code> table holds, for each region, a polygon, or multipolygon, that gives us the informations on how to outline the specific region. We can already plot this table to see what it looks like. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "with plt.rc_context({\"figure.figsize\": [12,8]}):\n",
    "    map_df.plot(cmap='OrRd')\n",
    "    plt.xlabel(\"longitude\")\n",
    "    plt.ylabel(\"latitude\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Now that we have our base map we have to plot on it, the dots representative of the provinces data. For this reason, we are interested in having a table that selects latitude and longitude data together with the number of total cases per day. \n",
    "\n",
    "However, as said before, we only want to plot four representative days, in order to show the evolution of the spread of the virus through provinces. The newly created table <code>density_data</code> takes into consideration this idea."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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></th>\n",
       "      <th>sigla_provincia</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>totale_casi</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data</th>\n",
       "      <th>denominazione_provincia</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2020-02-24</th>\n",
       "      <th>Agrigento</th>\n",
       "      <td>AG</td>\n",
       "      <td>37.309711</td>\n",
       "      <td>13.584575</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alessandria</th>\n",
       "      <td>AL</td>\n",
       "      <td>44.912974</td>\n",
       "      <td>8.615401</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ancona</th>\n",
       "      <td>AN</td>\n",
       "      <td>43.616760</td>\n",
       "      <td>13.518875</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aosta</th>\n",
       "      <td>AO</td>\n",
       "      <td>45.737503</td>\n",
       "      <td>7.320149</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arezzo</th>\n",
       "      <td>AR</td>\n",
       "      <td>43.466428</td>\n",
       "      <td>11.882288</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   sigla_provincia        lat       long  \\\n",
       "data       denominazione_provincia                                         \n",
       "2020-02-24 Agrigento                            AG  37.309711  13.584575   \n",
       "           Alessandria                          AL  44.912974   8.615401   \n",
       "           Ancona                               AN  43.616760  13.518875   \n",
       "           Aosta                                AO  45.737503   7.320149   \n",
       "           Arezzo                               AR  43.466428  11.882288   \n",
       "\n",
       "                                    totale_casi  \n",
       "data       denominazione_provincia               \n",
       "2020-02-24 Agrigento                          0  \n",
       "           Alessandria                        0  \n",
       "           Ancona                             0  \n",
       "           Aosta                              0  \n",
       "           Arezzo                             0  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "density_data_p = refined_province_data[refined_province_data['data'].isin(['2020-02-24','2020-02-28', '2020-03-12', '2020-05-19'])].drop(\n",
    "    columns=[\"denominazione_regione\"]).set_index(\n",
    "    [\"data\", \"denominazione_provincia\"]).sort_index()\n",
    "density_data_p.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Before merging the two data, from the map and the provinces, we have to make sure that the coordinate reference system is the same for both data. For latitude and longitude points we use the following crs. \n",
    "\n",
    "From the <code>density_data</code> we also extract the geometrical positions of the provinces, using the latitude and longitude data. Here is reported the result for some of the points obtained."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<shapely.geometry.point.Point at 0x7f5e37fc1130>,\n",
       " <shapely.geometry.point.Point at 0x7f5e37fc12b0>,\n",
       " <shapely.geometry.point.Point at 0x7f5e41281430>]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crs = CRS(\"epsg:4326\")\n",
    "geometry = [Point(xy) for xy in zip(density_data_p['long'], density_data_p['lat'])]\n",
    "# plotting some points\n",
    "geometry[:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "It's now time to combine the two data: the points and the provinces data, by creating a GeoDataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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></th>\n",
       "      <th>sigla_provincia</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>totale_casi</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data</th>\n",
       "      <th>denominazione_provincia</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 rowspan=\"5\" valign=\"top\">2020-02-24</th>\n",
       "      <th>Agrigento</th>\n",
       "      <td>AG</td>\n",
       "      <td>37.309711</td>\n",
       "      <td>13.584575</td>\n",
       "      <td>0</td>\n",
       "      <td>POINT (13.58457 37.30971)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alessandria</th>\n",
       "      <td>AL</td>\n",
       "      <td>44.912974</td>\n",
       "      <td>8.615401</td>\n",
       "      <td>0</td>\n",
       "      <td>POINT (8.61540 44.91297)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ancona</th>\n",
       "      <td>AN</td>\n",
       "      <td>43.616760</td>\n",
       "      <td>13.518875</td>\n",
       "      <td>0</td>\n",
       "      <td>POINT (13.51888 43.61676)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aosta</th>\n",
       "      <td>AO</td>\n",
       "      <td>45.737503</td>\n",
       "      <td>7.320149</td>\n",
       "      <td>0</td>\n",
       "      <td>POINT (7.32015 45.73750)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arezzo</th>\n",
       "      <td>AR</td>\n",
       "      <td>43.466428</td>\n",
       "      <td>11.882288</td>\n",
       "      <td>0</td>\n",
       "      <td>POINT (11.88229 43.46643)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   sigla_provincia        lat       long  \\\n",
       "data       denominazione_provincia                                         \n",
       "2020-02-24 Agrigento                            AG  37.309711  13.584575   \n",
       "           Alessandria                          AL  44.912974   8.615401   \n",
       "           Ancona                               AN  43.616760  13.518875   \n",
       "           Aosta                                AO  45.737503   7.320149   \n",
       "           Arezzo                               AR  43.466428  11.882288   \n",
       "\n",
       "                                    totale_casi                   geometry  \n",
       "data       denominazione_provincia                                          \n",
       "2020-02-24 Agrigento                          0  POINT (13.58457 37.30971)  \n",
       "           Alessandria                        0   POINT (8.61540 44.91297)  \n",
       "           Ancona                             0  POINT (13.51888 43.61676)  \n",
       "           Aosta                              0   POINT (7.32015 45.73750)  \n",
       "           Arezzo                             0  POINT (11.88229 43.46643)  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_df= gpd.GeoDataFrame(density_data_p, crs = crs, geometry = geometry)\n",
    "geo_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Now that we have all the informations required, we can proceed to the plotting, by dividing the area into four sub-plots, one for each day, and representing with different colors a major or minor number of total cases per province.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.colors import LinearSegmentedColormap\n",
    "\n",
    "days = density_data_p.index.unique(level=0)\n",
    "grid_size = (2,2) #four days\n",
    "fig, axes = plt.subplots(nrows=grid_size[0], ncols=grid_size[1], figsize=(10,10))\n",
    "\n",
    "r, c = (0,0)\n",
    "for i, day in enumerate(range(len(days))):\n",
    "    rowData = geo_df.loc[ days[i] , : ]\n",
    "    totale_casi_per_data=rowData['totale_casi']\n",
    "    x=rowData['long']\n",
    "    y=rowData['lat']\n",
    "    \n",
    "    axes[r,c].set_title(days[i])\n",
    "    axes[r,c].set_xlabel(\"longitude\")\n",
    "    axes[r,c].set_ylabel(\"latitude\")\n",
    "    \n",
    "    map_df.plot(ax=axes[r,c], alpha=0.9, color=\"black\")\n",
    "    im = axes[r,c].hexbin(x,y, C=totale_casi_per_data, bins='log', edgecolors=None, cmap='rainbow', vmin=1., vmax=20000, gridsize=50)\n",
    "    \n",
    "    # Calculate the next subplot's indexes\n",
    "    c = (c+1)%grid_size[1]\n",
    "    if c == 0:\n",
    "        r+=1\n",
    "        \n",
    "# Color bar\n",
    "cbar_ax = fig.add_axes([1.2, 0.1, 0.01, 0.8])\n",
    "cbar_ax.set_title('Number of cases')\n",
    "fig.colorbar(im, cax=cbar_ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "We could also display a distribution of cities with total number of cases above a certain threshold. The threshold is placed at 1000 cases. The code to get to this result is shown below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(30.375, 0.5, 'Distribution of cases')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "threshold = 1000\n",
    "max_cases_per_province = refined_province_data.groupby(['sigla_provincia']).max()\n",
    "days = density_data_p.index.unique(level=1)\n",
    "cases_threshold = max_cases_per_province['totale_casi'] >= threshold\n",
    "threshold_cases_df = max_cases_per_province[cases_threshold]\n",
    "\n",
    "x = threshold_cases_df['long'] # longitude\n",
    "y = threshold_cases_df['lat'] # latitude\n",
    "\n",
    "# Set up the axes with gridspec\n",
    "fig = plt.figure(figsize=(6, 4), constrained_layout=False)\n",
    "plt.title(\"Distribution of cities with more than \"+str(threshold)+\" cases\")\n",
    "grid = plt.GridSpec(4, 4, hspace=0.6, wspace=0.6)\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "\n",
    "y_hist = fig.add_subplot(grid[:, 0], xticklabels=[])\n",
    "main_ax = fig.add_subplot(grid[:, 1:], sharey=y_hist)\n",
    "main_ax.set_xlabel(\"longitude\")\n",
    "main_ax.set_ylabel(\"latitude\")\n",
    "# Italy's background\n",
    "map_df.plot(ax=main_ax, alpha=0.8, edgecolor=\"red\", cmap='OrRd')\n",
    "# scatter points on the main axes\n",
    "main_ax.plot(x, y, 'ok', markersize=3, alpha=0.8, color='green')\n",
    "# histogram on the attached axes\n",
    "y_hist.hist(y, 90, histtype='stepfilled', orientation='horizontal', color='green')\n",
    "y_hist.invert_xaxis()\n",
    "y_hist.set_ylabel(\"Distribution of cases\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Region Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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>data</th>\n",
       "      <th>denominazione_regione</th>\n",
       "      <th>ricoverati_con_sintomi</th>\n",
       "      <th>terapia_intensiva</th>\n",
       "      <th>totale_ospedalizzati</th>\n",
       "      <th>isolamento_domiciliare</th>\n",
       "      <th>totale_positivi</th>\n",
       "      <th>variazione_totale_positivi</th>\n",
       "      <th>nuovi_positivi</th>\n",
       "      <th>dimessi_guariti</th>\n",
       "      <th>deceduti</th>\n",
       "      <th>totale_casi</th>\n",
       "      <th>tamponi</th>\n",
       "      <th>casi_testati</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Basilicata</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>P.A. Bolzano</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Calabria</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>Campania</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         data denominazione_regione  ricoverati_con_sintomi  \\\n",
       "0  2020-02-24               Abruzzo                       0   \n",
       "1  2020-02-24            Basilicata                       0   \n",
       "2  2020-02-24          P.A. Bolzano                       0   \n",
       "3  2020-02-24              Calabria                       0   \n",
       "4  2020-02-24              Campania                       0   \n",
       "\n",
       "   terapia_intensiva  totale_ospedalizzati  isolamento_domiciliare  \\\n",
       "0                  0                     0                       0   \n",
       "1                  0                     0                       0   \n",
       "2                  0                     0                       0   \n",
       "3                  0                     0                       0   \n",
       "4                  0                     0                       0   \n",
       "\n",
       "   totale_positivi  variazione_totale_positivi  nuovi_positivi  \\\n",
       "0                0                           0               0   \n",
       "1                0                           0               0   \n",
       "2                0                           0               0   \n",
       "3                0                           0               0   \n",
       "4                0                           0               0   \n",
       "\n",
       "   dimessi_guariti  deceduti  totale_casi  tamponi  casi_testati  \n",
       "0                0         0            0        5           0.0  \n",
       "1                0         0            0        0           0.0  \n",
       "2                0         0            0        1           0.0  \n",
       "3                0         0            0        1           0.0  \n",
       "4                0         0            0       10           0.0  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# loding into a DataFrame the regions data as is\n",
    "region_data = pd.DataFrame(covid19_regions_data)\n",
    "\n",
    "# performing the few modifications listed above\n",
    "#refined_region_data = region_data[province_data.denominazione_provincia!= \"In fase di definizione/aggiornamento\"].drop(columns=[\"note_it\", \"note_en\", \"codice_provincia\", \"codice_regione\", \"stato\"])\n",
    "refined_region_data = region_data.drop(columns=[\"stato\", \"note_en\", \"note_it\", \"lat\", \"long\", \"codice_regione\"])\n",
    "\n",
    "# for each date value is cropped the ending, leaving only the structure year-month-day.\n",
    "# E.g. from the original date '2020-02-24T18:00:00' the result is simply '2020-02-24'\n",
    "refined_region_data['data'] = refined_region_data['data'].map(lambda a: a[:10])\n",
    "\n",
    "# we want to handle missing data as 0\n",
    "refined_region_data = refined_region_data.fillna(0)\n",
    "refined_region_data.fillna(0).head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the next computations we are interested in using as index for the region table, the column <code>denominazione_regione</code> and <code>data</code>. Also the records are sorted according to both index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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></th>\n",
       "      <th>ricoverati_con_sintomi</th>\n",
       "      <th>terapia_intensiva</th>\n",
       "      <th>totale_ospedalizzati</th>\n",
       "      <th>isolamento_domiciliare</th>\n",
       "      <th>totale_positivi</th>\n",
       "      <th>variazione_totale_positivi</th>\n",
       "      <th>nuovi_positivi</th>\n",
       "      <th>dimessi_guariti</th>\n",
       "      <th>deceduti</th>\n",
       "      <th>totale_casi</th>\n",
       "      <th>tamponi</th>\n",
       "      <th>casi_testati</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>denominazione_regione</th>\n",
       "      <th>data</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Abruzzo</th>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-26</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-27</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>33</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-28</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>33</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  ricoverati_con_sintomi  terapia_intensiva  \\\n",
       "denominazione_regione data                                                    \n",
       "Abruzzo               2020-02-24                       0                  0   \n",
       "                      2020-02-25                       0                  0   \n",
       "                      2020-02-26                       0                  0   \n",
       "                      2020-02-27                       1                  0   \n",
       "                      2020-02-28                       1                  0   \n",
       "\n",
       "                                  totale_ospedalizzati  \\\n",
       "denominazione_regione data                               \n",
       "Abruzzo               2020-02-24                     0   \n",
       "                      2020-02-25                     0   \n",
       "                      2020-02-26                     0   \n",
       "                      2020-02-27                     1   \n",
       "                      2020-02-28                     1   \n",
       "\n",
       "                                  isolamento_domiciliare  totale_positivi  \\\n",
       "denominazione_regione data                                                  \n",
       "Abruzzo               2020-02-24                       0                0   \n",
       "                      2020-02-25                       0                0   \n",
       "                      2020-02-26                       0                0   \n",
       "                      2020-02-27                       0                1   \n",
       "                      2020-02-28                       0                1   \n",
       "\n",
       "                                  variazione_totale_positivi  nuovi_positivi  \\\n",
       "denominazione_regione data                                                     \n",
       "Abruzzo               2020-02-24                           0               0   \n",
       "                      2020-02-25                           0               0   \n",
       "                      2020-02-26                           0               0   \n",
       "                      2020-02-27                           1               1   \n",
       "                      2020-02-28                           0               0   \n",
       "\n",
       "                                  dimessi_guariti  deceduti  totale_casi  \\\n",
       "denominazione_regione data                                                 \n",
       "Abruzzo               2020-02-24                0         0            0   \n",
       "                      2020-02-25                0         0            0   \n",
       "                      2020-02-26                0         0            0   \n",
       "                      2020-02-27                0         0            1   \n",
       "                      2020-02-28                0         0            1   \n",
       "\n",
       "                                  tamponi  casi_testati  \n",
       "denominazione_regione data                               \n",
       "Abruzzo               2020-02-24        5           0.0  \n",
       "                      2020-02-25        5           0.0  \n",
       "                      2020-02-26       13           0.0  \n",
       "                      2020-02-27       33           0.0  \n",
       "                      2020-02-28       33           0.0  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regions_data_frame = refined_region_data.set_index([\"denominazione_regione\", \"data\"]).sort_index()\n",
    "regions_data_frame.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Below we want to show a quick view on the data gathered, for just a few regions, taken as sample. In order to do so, are taken into account seven regions, the most representative. \n",
    "\n",
    "The plots are organized in different subplots. Each subplot indicates a different area of interest, while highlighting the differences between regions represented as different lines.\n",
    "Particular interest is placed on ephasize the transition from the period pre-lockdown, to post-lockdown. \n",
    "\n",
    "The red shaded area is the period of our interest. In particular, the transparent area starts at the moment of the lockdown. Because we care about knowing the effects of the quarantine after the first 14 days, the red vertical line indicates the moment after the passing of this amount of days. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f5e36e40610>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "regions_considered = ['Lombardia', 'Piemonte', 'Toscana', 'Veneto', 'Campania', 'Sicilia', 'Friuli Venezia Giulia']\n",
    "grid_size = (6, 2) # (#regions x #columns's info)\n",
    "fig, axes = plt.subplots(nrows=grid_size[0], ncols=grid_size[1], sharex=False, figsize=(15,20))\n",
    "\n",
    "i = 0\n",
    "r, c = (0,0)\n",
    "x_labels = regions_data_frame.index.unique(level=1)\n",
    "x_labels = [elem[5:10] for elem in x_labels] # take only the month and the day, cut off the rest\n",
    "for column_info in regions_data_frame.columns:\n",
    "    for region in regions_considered:\n",
    "        regions_data_frame.loc[region][column_info].plot(ax=axes[r,c], kind='line', title=column_info)\n",
    "        axes[r,c].set_xlabel(\"date\")\n",
    "        axes[r,c].axvspan(15, 30, color='red', alpha=0.02) # Start of lockdown\n",
    "        axes[r,c].axvspan(30, 70, color='red', alpha=0.02) # Lockdown's effects after 14 days\n",
    "        # Calculate the xlabels for each subplot\n",
    "        plt.sca(axes[r, c])\n",
    "        plt.xticks(range(len(x_labels)), x_labels)\n",
    "        xticks = axes[r,c].xaxis.get_major_ticks()\n",
    "        for i in range(len(xticks)):\n",
    "            if i % 10 != 0:\n",
    "                xticks[i].set_visible(False)\n",
    "        axes[r,c].tick_params(labelrotation=45)\n",
    "        \n",
    "    # Calculate the next subplot's indexes\n",
    "    c = (c+1)%grid_size[1]\n",
    "    if c == 0:\n",
    "        r+=1\n",
    "        \n",
    "plt.tight_layout()\n",
    "fig.subplots_adjust(bottom=0.1)\n",
    "fig.legend(labels=regions_considered, loc=\"lower center\", ncol=len(regions_considered))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Province and Region Analysis\n",
    "\n",
    "We could also discuss about information obtained by the merging of two datasets. In this case, the province and region data.\n",
    "\n",
    "In the following graph we only take into consideration the last day available. For each region is shown, using a color, the total number of cases of coronavirus at that day. Also, each province is represented by a dot with a different coloring, as we have done already for the graph above. \n",
    "\n",
    "Because we have to deal with differents coordinate reference systems we re-define the crs and start to build our table."
   ]
  },
  {
   "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>data</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>totale_casi</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>denominazione_provincia</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Agrigento</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>37.309711</td>\n",
       "      <td>13.584575</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alessandria</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>44.912974</td>\n",
       "      <td>8.615401</td>\n",
       "      <td>3807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ancona</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>43.616760</td>\n",
       "      <td>13.518875</td>\n",
       "      <td>1867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aosta</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>45.737503</td>\n",
       "      <td>7.320149</td>\n",
       "      <td>1175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arezzo</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>43.466428</td>\n",
       "      <td>11.882288</td>\n",
       "      <td>674</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               data        lat       long  totale_casi\n",
       "denominazione_provincia                                               \n",
       "Agrigento                2020-05-19  37.309711  13.584575          141\n",
       "Alessandria              2020-05-19  44.912974   8.615401         3807\n",
       "Ancona                   2020-05-19  43.616760  13.518875         1867\n",
       "Aosta                    2020-05-19  45.737503   7.320149         1175\n",
       "Arezzo                   2020-05-19  43.466428  11.882288          674"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crs = CRS(\"epsg:4326\")\n",
    "# extract latitude and longitude data from the last date available, along with the total cases (that are at its max)\n",
    "provinces_data_per_latitude_longitude = refined_province_data.drop(columns=[\"denominazione_regione\", \"sigla_provincia\"]).groupby([\"denominazione_provincia\"]).max()\n",
    "provinces_data_per_latitude_longitude.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This time we select as points a structure of the form <code>(longitude, latitude, totale_casi)</code>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<shapely.geometry.point.Point at 0x7f5e36d4d970>,\n",
       " <shapely.geometry.point.Point at 0x7f5e36d863a0>,\n",
       " <shapely.geometry.point.Point at 0x7f5e37452af0>]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geometry = [Point(xy) for xy in zip(provinces_data_per_latitude_longitude['long'], provinces_data_per_latitude_longitude['lat'], provinces_data_per_latitude_longitude['totale_casi'])]\n",
    "geometry[:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now create our GeoDataFrame using this points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\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>data</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>totale_casi</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>denominazione_provincia</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>Agrigento</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>37.309711</td>\n",
       "      <td>13.584575</td>\n",
       "      <td>141</td>\n",
       "      <td>POINT Z (13.58457 37.30971 141.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alessandria</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>44.912974</td>\n",
       "      <td>8.615401</td>\n",
       "      <td>3807</td>\n",
       "      <td>POINT Z (8.61540 44.91297 3807.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ancona</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>43.616760</td>\n",
       "      <td>13.518875</td>\n",
       "      <td>1867</td>\n",
       "      <td>POINT Z (13.51888 43.61676 1867.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aosta</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>45.737503</td>\n",
       "      <td>7.320149</td>\n",
       "      <td>1175</td>\n",
       "      <td>POINT Z (7.32015 45.73750 1175.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arezzo</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>43.466428</td>\n",
       "      <td>11.882288</td>\n",
       "      <td>674</td>\n",
       "      <td>POINT Z (11.88229 43.46643 674.00000)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               data        lat       long  totale_casi  \\\n",
       "denominazione_provincia                                                  \n",
       "Agrigento                2020-05-19  37.309711  13.584575          141   \n",
       "Alessandria              2020-05-19  44.912974   8.615401         3807   \n",
       "Ancona                   2020-05-19  43.616760  13.518875         1867   \n",
       "Aosta                    2020-05-19  45.737503   7.320149         1175   \n",
       "Arezzo                   2020-05-19  43.466428  11.882288          674   \n",
       "\n",
       "                                                       geometry  \n",
       "denominazione_provincia                                          \n",
       "Agrigento                 POINT Z (13.58457 37.30971 141.00000)  \n",
       "Alessandria               POINT Z (8.61540 44.91297 3807.00000)  \n",
       "Ancona                   POINT Z (13.51888 43.61676 1867.00000)  \n",
       "Aosta                     POINT Z (7.32015 45.73750 1175.00000)  \n",
       "Arezzo                    POINT Z (11.88229 43.46643 674.00000)  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# creating the GeoDataFrame using this points\n",
    "geo_df= gpd.GeoDataFrame(provinces_data_per_latitude_longitude, crs = crs, geometry = geometry)\n",
    "geo_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now make some modifications upon the regional data, taking into consideration only the last date available, that is in our interest. We also combine the total cases of Trento and Bolzano."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>data</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>ricoverati_con_sintomi</th>\n",
       "      <th>terapia_intensiva</th>\n",
       "      <th>totale_ospedalizzati</th>\n",
       "      <th>isolamento_domiciliare</th>\n",
       "      <th>totale_positivi</th>\n",
       "      <th>variazione_totale_positivi</th>\n",
       "      <th>nuovi_positivi</th>\n",
       "      <th>dimessi_guariti</th>\n",
       "      <th>deceduti</th>\n",
       "      <th>totale_casi</th>\n",
       "      <th>tamponi</th>\n",
       "      <th>casi_testati</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>denominazione_regione</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Abruzzo</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>42.351222</td>\n",
       "      <td>13.398438</td>\n",
       "      <td>188</td>\n",
       "      <td>6</td>\n",
       "      <td>194</td>\n",
       "      <td>1195</td>\n",
       "      <td>1389</td>\n",
       "      <td>-24</td>\n",
       "      <td>4</td>\n",
       "      <td>1419</td>\n",
       "      <td>389</td>\n",
       "      <td>3197</td>\n",
       "      <td>58945</td>\n",
       "      <td>41162.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Basilicata</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>40.639471</td>\n",
       "      <td>15.805148</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>57</td>\n",
       "      <td>84</td>\n",
       "      <td>-9</td>\n",
       "      <td>1</td>\n",
       "      <td>282</td>\n",
       "      <td>27</td>\n",
       "      <td>393</td>\n",
       "      <td>23347</td>\n",
       "      <td>22767.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P.A. Bolzano</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>46.499335</td>\n",
       "      <td>11.356624</td>\n",
       "      <td>46</td>\n",
       "      <td>6</td>\n",
       "      <td>52</td>\n",
       "      <td>256</td>\n",
       "      <td>308</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1988</td>\n",
       "      <td>291</td>\n",
       "      <td>2587</td>\n",
       "      <td>55526</td>\n",
       "      <td>25263.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Calabria</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>38.905976</td>\n",
       "      <td>16.594402</td>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>52</td>\n",
       "      <td>330</td>\n",
       "      <td>382</td>\n",
       "      <td>-19</td>\n",
       "      <td>2</td>\n",
       "      <td>676</td>\n",
       "      <td>95</td>\n",
       "      <td>1153</td>\n",
       "      <td>57310</td>\n",
       "      <td>55270.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Campania</th>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>40.839566</td>\n",
       "      <td>14.250850</td>\n",
       "      <td>330</td>\n",
       "      <td>17</td>\n",
       "      <td>347</td>\n",
       "      <td>1171</td>\n",
       "      <td>1518</td>\n",
       "      <td>-155</td>\n",
       "      <td>12</td>\n",
       "      <td>2790</td>\n",
       "      <td>399</td>\n",
       "      <td>4707</td>\n",
       "      <td>147225</td>\n",
       "      <td>69264.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             data        lat       long  \\\n",
       "denominazione_regione                                     \n",
       "Abruzzo                2020-05-19  42.351222  13.398438   \n",
       "Basilicata             2020-05-19  40.639471  15.805148   \n",
       "P.A. Bolzano           2020-05-19  46.499335  11.356624   \n",
       "Calabria               2020-05-19  38.905976  16.594402   \n",
       "Campania               2020-05-19  40.839566  14.250850   \n",
       "\n",
       "                       ricoverati_con_sintomi  terapia_intensiva  \\\n",
       "denominazione_regione                                              \n",
       "Abruzzo                                   188                  6   \n",
       "Basilicata                                 26                  1   \n",
       "P.A. Bolzano                               46                  6   \n",
       "Calabria                                   50                  2   \n",
       "Campania                                  330                 17   \n",
       "\n",
       "                       totale_ospedalizzati  isolamento_domiciliare  \\\n",
       "denominazione_regione                                                 \n",
       "Abruzzo                                 194                    1195   \n",
       "Basilicata                               27                      57   \n",
       "P.A. Bolzano                             52                     256   \n",
       "Calabria                                 52                     330   \n",
       "Campania                                347                    1171   \n",
       "\n",
       "                       totale_positivi  variazione_totale_positivi  \\\n",
       "denominazione_regione                                                \n",
       "Abruzzo                           1389                         -24   \n",
       "Basilicata                          84                          -9   \n",
       "P.A. Bolzano                       308                           1   \n",
       "Calabria                           382                         -19   \n",
       "Campania                          1518                        -155   \n",
       "\n",
       "                       nuovi_positivi  dimessi_guariti  deceduti  totale_casi  \\\n",
       "denominazione_regione                                                           \n",
       "Abruzzo                             4             1419       389         3197   \n",
       "Basilicata                          1              282        27          393   \n",
       "P.A. Bolzano                        5             1988       291         2587   \n",
       "Calabria                            2              676        95         1153   \n",
       "Campania                           12             2790       399         4707   \n",
       "\n",
       "                       tamponi  casi_testati  \n",
       "denominazione_regione                         \n",
       "Abruzzo                  58945       41162.0  \n",
       "Basilicata               23347       22767.0  \n",
       "P.A. Bolzano             55526       25263.0  \n",
       "Calabria                 57310       55270.0  \n",
       "Campania                147225       69264.0  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# loding into a DataFrame the regions data as is\n",
    "regions_data = pd.DataFrame(covid19_regions_data)\n",
    "\n",
    "# for each date value is cropped the ending, leaving only the structure year-month-day.\n",
    "# E.g. from the original date '2020-02-24T18:00:00' the result is simply '2020-02-24'\n",
    "regions_data['data'] = regions_data['data'].map(lambda a: a[:10])\n",
    "regions_data = regions_data.drop(columns=['stato','codice_regione','note_it','note_en'])\n",
    "\n",
    "# Here we take into consideration the desired date\n",
    "regions_data_r = regions_data['data'] == '2020-05-19' # select the desired date\n",
    "regions_data = regions_data[regions_data_r].set_index('denominazione_regione') # reset the index\n",
    "trento_cases = regions_data.loc['P.A. Trento']['totale_casi'] # We will combine total cases of Trento and Bolzano\n",
    "regions_data = regions_data.drop(['P.A. Trento'])\n",
    "regions_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now proceed on merging the data from the region, the provinces, already combined with the geological data. Since we have different region's name (and order) in the <code>map_df</code> and <code>regions_data</code> DataFrame we need to shift and combine some values manually.\n",
    "\n",
    "We also merge the total cases of Trento and Bolzano. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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",
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       "    }\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>NAME_1</th>\n",
       "      <th>geometry</th>\n",
       "      <th>totale_casi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abruzzo</td>\n",
       "      <td>POLYGON ((13.91542 42.89561, 13.91542 42.89542...</td>\n",
       "      <td>3197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Apulia</td>\n",
       "      <td>MULTIPOLYGON (((17.94931 40.05375, 17.94931 40...</td>\n",
       "      <td>4396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Basilicata</td>\n",
       "      <td>MULTIPOLYGON (((15.71736 39.96792, 15.71736 39...</td>\n",
       "      <td>393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Calabria</td>\n",
       "      <td>MULTIPOLYGON (((15.80208 39.70014, 15.80208 39...</td>\n",
       "      <td>1153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Campania</td>\n",
       "      <td>MULTIPOLYGON (((14.25264 40.54153, 14.25264 40...</td>\n",
       "      <td>4707</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       NAME_1                                           geometry  totale_casi\n",
       "0     Abruzzo  POLYGON ((13.91542 42.89561, 13.91542 42.89542...         3197\n",
       "1      Apulia  MULTIPOLYGON (((17.94931 40.05375, 17.94931 40...         4396\n",
       "2  Basilicata  MULTIPOLYGON (((15.71736 39.96792, 15.71736 39...          393\n",
       "3    Calabria  MULTIPOLYGON (((15.80208 39.70014, 15.80208 39...         1153\n",
       "4    Campania  MULTIPOLYGON (((14.25264 40.54153, 14.25264 40...         4707"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# shifting and combining\n",
    "totale_casi = list(regions_data['totale_casi'])\n",
    "totale_casi.insert(1, totale_casi.pop(13))\n",
    "totale_casi.insert(16, totale_casi.pop(3))\n",
    "totale_casi[16] += trento_cases # Total cases of Trento + Bolzano \n",
    "map_df['totale_casi'] = totale_casi # Add 'toale_casi' column to the GeoDataFrame map_df\n",
    "map_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's time to work on the plot. The code below is divided into two blocks. First we handle regional data, displaying a different color for different number of cases to the last day available. The same is done for the provinces data. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5e3745e1c0>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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rNdW+C3FoHio8W3HqvkW5vuLsRgixS0q5bbnnsZysKDDk313vz7rvr+8anvb9EUL8GLgJ6JFSbs5suxuoyxySBwxJKc8VQtQAh4GRaPYdUspPZM65ALgD8ACPAJ+RUkohRAFwN1ADNAHvklLOLnhtASgLxWmMZVqzEhMAv/iX+zAcOhe96YI5XycainHPNx6k9VjHvMQEMGkxHYsl5reIpiIpApaTuDZ7QZGIwkCnyBhIBMkYRIahuFqiLUJxyLI+D4N3j4+lOOLsyfr6LSQ9epgyK8BwV4yjX9/Auo/0oJX2LWgOz+4M84O7+wGJbcM9jw1x05U5vOdN+ZOO7U+coD/TlOy8wveyNnDVgq6tUCjSpLM85n0DdwfwPeDOkQ1SynefHFv8BzC2cE6DlPLcLOPcBnwUeIm0oLgBeBT4AvCUlPJrQogvZJ5/fr6TnS3LZgsVQuhCiD1CiIczz4UQ4l+EEMeEEIeFEJ9errktN2bSZNeTe/n+Z348p/Meuu1xHr/jaVqOtBOLJnjqF8+RiCWwrKnrN+x79hD/9r5v8/Jje+g8Mf+iTWvDORj25C+XFJKy+PyaWBkBB/1abNbHSwlD3QKkYCTGQUqBnYLQwNy/+J64gT9u4I0brGj3sf5VP8Yvh7BT48XDdCOP3dfbFAFj/rU0AIJhix/c3Y+ZkpgpsGxImpKHnwnS0JJdDBqam/MLb2GN/8oFXVuhUCwOUspngayBaiJtZn4X8KvpxhBClAM5UsodMu1quBN4a2b3zcBPM7//dMz2JWU5LRSfIW3GGSmh+GGgGlgvpbSFECXLNbHl5KH/fpwnf/YMVmruC89g9zAPfv8xHvz+Y1SsKaOjoYuHbnuc/NJcPvKvt1BdVznpnGTcHC2UtRBqQzkcCwzT446T0iSaBE0Kruouw5Bz163+jQWYt5ZhM/uy21YK7KyGEkEiIqF49tdft9/PwG/asC0JEsKkH9nYkCyl2whPslI40Cix0ibRtZfnUfbmdrTC9HttmjYv7g5xuD5KSZGDqy/OIy935q/j7kMxdB3MCUYbMyV5fk+ENStco9s04aA252r85lY6m6IEqgYpyS+Y9XugUCimR1tMX+pJrgC6pZRj88xXCSH2AEHgH6SUzwGVwFhzaVtmG0CplHKkU2EXULoUE53IsggKIUQV8CbgX4C/zWz+JHCLlNIGkFL2LMfclhMpJT0tvXMSEwOOOPsCfQSNJJVxH5vChbhtg4GuQXRDw0yYGA4df/54X1/niW5u+9s7GFgEMQGgI7ipo5pmX5hmbwSPpVMXyiXPnF9ZcPtD5fQYs+//AWkT5FSlLOcal6il0s3DZlMac12ymCZjkCbnADYSPZ3nwo3hDQgEvgIX5R84gDDSgiMas/jSN5oZGDKJJyQOQ/DAY/38w6dXsG7VTNacKeYk05+fsVxW+Bk++193ct8z/4nb6SRhJnnfG27kB5/9IrqumoMpFAtlmqDMIiHE2AC/26WUt0918ATey3jrRCewQkrZn4mZ+I0QYtNs55iJqTglwZLLZaH4L+DvgLFVmdYA7xZCvA3oBT49QaGdkUhpTxtlL6Wk6UALybhJy+F2dj+1f9ZjN7uDPFncgiUkUkC3K8qBnAHe2bmWyopyOhu6KVlRxN/8z8fx540PxiusLGCoZ3jWMRqzQUOwKhJgVWRhxbZKPrSOBufcG4LpBjjdkIxLxjobhJB4c7O/zoKQi9I9OjJskVrroH5dRsR0mMhZVsYUCK6P1tGTCGfSRg3WJAtxZr5ekYEEVv1KjPXpWiIPPNZPT79JKtOyfMR98d2fdPCd/3/1tIG152/08sNfT7aUOh2Cy847KRoLXav59zsf5oHnniZhJkmYSQB+9dTjrCwt4x8/9Beze3EKhSIrQojpBEXffIJWhRAG8HZgNBhOSpkAEpnfdwkhGoB1QDtQNeb0qsw2gG4hRLmUsjPjGjklN+inXFAIIUYiW3cJIa4as8sFxKWU24QQbwd+TNr0M/H8jwEfA1ixYsUpmPHcsawB4uYhIvGnSVldOI01SBkn1/8+nMb49M4HvvMIv//5s3O+hkTyx8J2UtrJhdLSJAmZ4nBVCN/xtLWrp6WPv7v2q9xw6+u59kNXjpbp/v3PniVlTm0JSTgke9eYtBXbCGBFl87WEwYOa+nTpBJHhsk/p4B+EZ3zuXllkoF2gZVZrCXgDoB3Qm+yugcdmP0Jwt19dMfT/gPXIRcbLi0mWSawE/E5X7vE8o+6OCaSCjlGv2wv7A6OiomxDAyn6B9MUVQwdbGyHL/OR/+sgB/eO4CUEmmDrgtuuCLA2pUn3R198Qa+/+Be4onxqiiaiPOd++9WgkKhOD15A3BESjnqyhBCFAMDUkpLCLEaqAVOSCkHhBBBIcTFpIMyPwh8N3PaQ8CHgK9lfj54Kia/HBaKy4C3CCHeCLiBHCHEz0n7f+7PHPMA8JNsJ2fMRrdDOm106acLSbMBTcvD0Asn7TNTnWiaF034AJ1Y4kWGIj8jaTaOOx8gntyD33M9KasHt/NcpHSx+w+75zWnkGFiapMFgS3gcKqHbRQQyhUc3+IkWKDxYtsLHPjZMF/42DvRNI3z3nIuD/Uc50CoF2fYovJogsBgevGxhOTJC5JE3ZKR8IcTFRZ9eTbXveJELFGb7RGGX+qmpDaH/rknrKAbULRCYibSMRUOFxiZ9Tkv7MIb1XHGNYLHu0mEkuPOTYQS86iGOTv2/cxiddNWCi7rxmGcyHqMlGAYM7+3V20PsLnWw469EcyU5IJNXlaUj3ctSckkMTHCcGRuriSFQpGd+cZQCCF+BVxF2jXSBnxZSvkj4D1MDsZ8HfBVIYQJ2MAnpJQjZsq/5GTa6KOZB6SFxD1CiI8AzaSDPJecUy4opJRfBL4IkLFQfE5K+X4hxNeAq4FG4Erg1FQCmgEpU3QNfh5DK6S04BsIHAhhkDCPkEgeJBh9EMsewmFUInCQTDVNOZZlhxiO3AtAJP4s2B4GOmqZPk8gO05bI0tSBQAuWyecI3jlaje2DghByin4Wf8hYj++h/9zy5t5329+ybAvSsKtQ6FGX7WDuhejFLelaC+2SThPigkAW4ewR9Kdb1M2eAr871nu4GeLEGnXx1iKht3wnW7iKZukIbAXMP58iEdMDj02ROGhAq7ZXsTdj3eSTJ6cgxBQU+UiL2d2X8mifIObrsqdcr+mCWpWeGhqmZwlc/GG6Ru8KRSKmRELKL0tpXzvFNs/nGXbfcB9Uxy/E5j0hZZS9gPXzGtyC+B0qkPxNeAXQoj/QzqgftlsslJKUlYXkfjvicSfxrbDJO0wPYP/F8vuQ9cKMa1WdhyLcfsfNDoHda5Y38lHrrYpzpl5/FG0OMUrHfQ2z70SpNs2qIj76HCHxwkLwxZsDRbSsNWBrZGJVExjGYIHB+pxPfcMg9EI5khKhCawNTi+3UNRe4jBgE0qyyfD1mDILylb8vIokGwJw0WuSdudIi1mUtLGnmUzcSklxa8IujPpnqdaTIylvyXCuSsu5fD6x9h3JB0nomvg9eh85qat2L1OZEpDOE20wkFkxAveyLwKln3kA9X88zfrMVMS25bomo7H5eS//vqzi/2yFIqzElUpczzLKiiklH8E/pj5fYh05seyYVkD9AW/hZQx4skDk/YnzHShspTVz707BF/+tU7MBBDUd8G9L+k88nmLkqlvHCegEQvOvyf2G/qqeaSkiQFHHA2BpcH6cD51kXz+lK9l7a1rmike2LETMzD5Ty81QTSgEYgKjBSTRIVmQyCWHjMn38G215dQUOLixKEg+17oJ2Uu3kIdrR9mTdcaGspCuDAojnuwf9RKtDGI5tTRPDoVtZWYpU6OXBljuszUjS/66X5uaVwZ86F9V5QPX/5GDhf0kzy/lYICnZwXN3Li+1HCq310N0TIr/CQX1NNpNum5h2D6DXtMw88gbpaP//25ToefnSAnk4X2+u28oVbbqW26vSMPVIoFGc2p5OFYtkxrTZiiZn7TCRT8NX7NWLmyQXbtATBmOS/n9T4yjtnKxJsCqt0woPzExVu2+DtXWsZcMTxrAwgT0Tx2umAAXdUkshS7VoKcCQkiSyJGLYGhimp7tHZtyZFyma09JmwwWkKyvs1Vtb5+fAX16Np4HDqbNpewJVvreC2vz9IPLqwwk0jJHtiJJ/sYe3mXPruOkEoeXJcK5aidEUpbYd7yQ3nYl+pTRnX4U7qJA4vTvvzmej2J3m1PETQkyInbnBOh5+y8GQrSzKW4siTQwh0CoJ1mAmLzmh6ju2HggD0NobpzYThFG/JJ7CybZyVwqF50ISDlB3Dktm7sWrC4PpN72J7bTODyVbiVhet2q956ZVyYqECtq1ax3mrVi/yu6BQnB0IxFLVoThjUYJiDEK4Zz4IONGTDnqbSMoSPDunvlqSP/tKI7seXMPTd86v5DVAgelGNKQoqS6nuyVd1nn1YZO9l2jYY4L8tJSkvDlFUR8cvdgYtw9bEui3cMXSKZdv2OXk5fUmfZl0y9JBwfbDTjQpeNdfrcXlPhlH4fLo5Okurry5nMd/tXiWgODuHtg9OdupoLKA/v50Boi8LhehTR1k6I0ZDLUsrNT1bOgIJHhm9SBW5m3p9Zs8vWaQ1zXmUxmcLCpGiAzO/Hc/8JsIl1xQAIWDBBylbMy7iTxHNR4jn67YAYJmF9FUP73xY0RSJ19rjqOCGv9lbDRuwpYWz7Xcxy3/djeDwbSzSMPgdRs28+DnvoTTmDqzRKFQZEG1L5+EkldjcBprCXjfOONxBT6YqvZUcc7czP6as5/y2vQdpkQS1BME9QRylvEBI0gp6W7pw+N343A5KOy22bAriSMu0SyJlpJUNKaoe9WkqNWk8mgCYUn0pI2WkvgHLTbuiCO3lWC/vw7vtWu4uiOfdzzr4h3PuLhyrwtPUpBX7MSXJXDQ4dTYcvHkLJjFJlAYICl1UkkLoQkcL0RZvyudqulJ6mzY5WfDs14qu7xU9Hpx/+gUBHwAu6pCo2JiBEuHnVXBBY+dSljs+48S3KlSrin/EoXONSAEtkyR46ggaYWo8l7AlWV/iy4caMKg0nsedbnXYYh09ocmdP7lFwfpHZDEk5JEUhJLmjxzaD9ff+j+GWagUCgUM6MsFGMQQqMg8Nf43FcRjDxALPkSMkt1o5Jc2LZa8nJD2tUxgscp+djr5x5H0LzPQb9jiCcKmwnr6VRGv+Xg2v4aisy59cGwbUlZTTGtRzsob7Uoa41hOsFIpWMgRli1L0HVkSShAh1XzMYbBfmXW5D5bnDpYEnkBSWIX9ejHegfPS+VlFMGCJrm7Fw3bq+kdhMYTmg6CoN9s1P5vjwfRsBPcCAdzCht6D/cj3Z8kLqmQoYbhuiOZO7Qn4J0FYrpx05pkuaiBB15Jh5TsLbbTV507l+LoDt7YG3IZSGRC061He6O0vdcEU97vsn24lvJc6br2bh0P+cVvpekFcWSJhcUvh+/o5RC16rx84jFeObQAVITapPHzRT//fsH+ce3vxuFQjE3tLmW4H2NowTFBIQQuJ1bcTm2ABCOPcpA8LuTLAbf+3ObT/6vxp5mcOhgWfCZG22u2TJ3QZG3KsmDxQ0kNWt0/RsWSR4qqef9HRtxytmnaSaiCVJmCiHSbhkBOJPZj3UkJQVd6YXQvqICCtzgzFxLF6Dr8I41yMMDCCv9usLDJp1NESrX+ND1k1+mZNzipSdmLsa2qk7y5vel56ZpcMUNsPt5yZ8em37BzS/PJ6U5RsXEWOyUTe++3ixnTT+mqUme2jxMxGVj6ek4keaiJBee8LGif2o3RTbcpkbMOVlQuVJiQWKioDSXrZfXkYwn8STdbEjWjYqJsTj1dMDMSv/FWccxrdSU84gn4ySsMC49e1EuhUIxmXQMhXJ5jEUJiikYuQtPmIeyuh9yvfDLT9u09UNvENZVgG9kDZJOkDqJcAmGK4rumrzYBTvW013vJxkX/OePurDz5fj1T4AtJQ3eITZE5uZK6DzRQ/mqUjobZ9c9VEoLe4sPzTmFcKn0QcvJOIVffbuej315Ax6/gdAEQsCRPUO89OT013M4JTe9DxwT2nucdyk0HpG0N0395dR9XoI9ixtcWV8aHxUTAHqhLIMAACAASURBVFIDC9i5KkLlgBNdzv6fxeYuH7srx7s9dAs2dc99kXZ5nFxy4znc8MEr8AXm16l1IgX+AOsqKjjQ2jJuu6EJbr5wuxITCsVcUTEUk1CCYgacxhrg91PurypMP9IIhtvW89PPOUnE0s2lhJbH9resomqjRW5pAmzByw96OPDHBJCOnYgETCwx+e42JSQRPXsE/1gkkiNVKY5WmZgOKB7SuMGeXbaFLaMMWnfhi30GZ7Z2nJqA+PixhvuT/Ptn9rJ6Uw65hU7a6iP0tM/cZnxlLVn7YxgGbDwf2pumPtfhmPqjKjVIbMohuT6ASNm49gdx1EdmtAu0FyYnxT2MMOSzKAzP/uuxrs+LqUsOlEWwRbqBV07CYNBj0hFIUB5yUrGqhLd+/BrCQ1GefXAnzYc7xo2RVxzg2vdcyvbrtuD2zs1CMhvu+ORnuPqf/gEzZRE3k/hcLooCOXzzvZ9c9GspFIqzDyUoZsDjuhAR/uFoLIWdLERzjsQUaET6VpOIuIgOOmnY6eClB8dG7QukDS/9JsFLvwEYWb3GR/aXJn3oUpvc/lpqlCbGN/XKxs5ak8ay1Oji2Flg83O7letdTgKJ6d0lYfuP2ISIv/AIjpW1CNeYTBdbwlACeiaLBSmh4cDcAg6nyrASjKu/lRXDkf1kKSD0jkqsUhdkjklVeHCuCOH7QzY3yEkcqewXlQKMMbEx4TxBy2YHkTwNZ0xSfdikoGP830og2NztZ2O3jx3VwzQXJBj0pBj0pGgvNNnmLedbf38rDqeDWCSBP9fLsVeb2PHYXrZcso5zrqhjw4VrxrmRFpvzV63h+Ldu4yd/fIpjnR1cWree9176OryuxRcvCsVrHcGStS8/Y1GCYgYcRhXVxfcyGP5fhvqP8vxdhaw6dwUlawZ45idlvPr7kSZSNhOFwmypSPgoSXrodkaxMs2+dFtQaLqpSkxvik44JCfKU+mqmCOItHWjfi28JVVB69GOqc+X9YCNeXAnsecfxXPFm5CpVNqcF9MQdx5ZtM4dzcdBy6JvTBOO7p3+3CkDQVf7sEpOigkAnBrJTQHcu4fQh6a28NR2uekLhMdbKWzwJTRyYunxwnmCg1e6TpYwdwmOX+ikZq9JadNkK1DQnaK5ID5uzCQWL4Xa+NHPHmNLWRVWKkVnYx+bL6nlzR+5eklFxERKcvP4/M3vOGXXUyhesyiXxySUoJgFmualMOfT9B2vZ8+jP2XH/TaQB8y9I2U2BII39a5mv7+Po/4BJFAXKWBLqGhSIJ2NpNEXot4XRJeCcjsH3dLHCwrSboBud5LOfd2UrigarU8xHbFHf0n8T4/gqKnDDofJbb129PoJF/SX6Wg2FHVaGHOvFk4iLnjiPsl1bwehpS0WqRQc3QfN9dOfK6fI0zVXesGZZUGWkKryTCsoyoccrOt0c7Qins6AEeA0NS4/Ghh93S2bHaNiYgTbSFssSpqsSWKrIzeZtWqnrcPzbSe4fNN61p1Xg9Ol6j4oFGc2KihzIkpQzIG6C9byr498iXv/82Fe/O3ORR1bR+PccAnnhkumPEYieby0jXZPJN22XEKTDKGHArgL8scdK2zIjWikTIvwUBSHy8BMTFYBLrFm1EoBIENDJPe/jFOsQdMzi+oag/qtDkY8MlLA1h0JirrmXuHzyKuCjmZJ3VZwuuDEYehshZkyMvpbe3FrgoIVJXQ0nUxj1aIpSNlgTFjFbYmITR9HIhBsafOyttvNgD+FMyUoChnjRFwkT8vqj7EMMF3gnGCUivVH0Ss1bMa/N07d4JKrt7D54tpp56RQKBRnKsoBNEecHidHX5nhdnqJaPNETooJSLs2NEkyHEJOEAuahCtFOcWVBSDIKiYA/NrVaPiBkTtmBxp+AtrrAQjnCOq3OLB1geVIP2xDsO9iV9YGYrMhOCh45RnB808IOlsFs+m2Gg1GCQ+GicfGWxych0JMSsKREmGDo2lyimk2PKZG5aCT4pBjkkXIGcueBiwkGGOmYjh1Nmxfwz9/9gPZj9cEbz3n/FnNR6FQnP6MxFBke5ytnL2vfB5EglG++6kfMdA1tCzXb/KGToqJMeg2FPSb6HZ6ocuJaVy530WJ5aanrZ/IcHTKMTXhpUD/MDna9Xi1S8jRrqNAvxVNpINBO1cYk9wpkL5Ob8UpaGM+Bn++H21CvIEeTOH7XVc6EyVhQdJGhC3897UjFqGtSPVhE21Cd1ItJSk9kRpXKCyVtKjf18zdX/0tP7v1o3idTnwOJwGXG4/DwQ/e80EqcvMWPiGFQnF6kImhyPY4W1EujzngcDnoaV36vhBT4bJ1hEy7HMaiCY217Q5WH/dgC6hZW4kogdZjHTO2vbZKPcSvq8SqOh8RTcHz3bDz5GtMxw9MPk8KsgqNpSQyFMFK2RSvKaEvHsKRMEgOxHE2RnH8oBGrzA2WRO9OLFogaUGHTc1ek5bNDiwjLaRKT6RYeWC8xceX4+FT37gFM2GyakMVx778rzy6ey8ev4sra9fjV5kUCsVrCoFQlTInoATFHNB1jeLKAoZ6hpfl+utCeezNHcASk2z8rIrnoMm0q6Pt2NRZHWOxCl1Ebl2XDmoUAunUSVxbicx14n4qPUZJu0XHKgNr4idFQOEsYihcq/PxnVeOTFqEX2rD7JmdGyIbEthbY9Ja04Ww0+3Wa4Meag+AlbAwOhYnSHYipU0WJU0Wpivt5tCyvOxIMMaJA610NPZSWVuKU2i85bzzVPClQqE4a1CCYgY6GrpoPdqB2+fige88Qs8p6Fw5FXkpJ1f2lvFscRciY6YQwDsi6/C5nMSjU9TYnoLEFWVgiPFBh06d5EUluJ7rQiRt8vpsSlpTdFcbaWuFTC+oaw6auOPTlxkv/uC5BC6pRjh0sG3y31RH789fJfSnlmnPm4qmtTqtq3VsXYyW9DgeiCIrBZcmS+lqG1hwz4ypEEwOwJzIvd97gqq1pdiWTWtDNzUbKpdkLgqF4vTgbHZvZEMJiimwbZtdT+zlJ/9414LGcTotLry4j9VrQkigoT7AzpeKMJPziz9YF8mjJhqgwxNFl4KKmA+Xw6CwppCO+s6sbdWnwq70QbYaCJbEznehd8cQwMZdJuUtFj2VOpoF5S0pAsMS2yGIVnsBibc1hmaevLhnfRGBi6vRXJmPmKYjgOL3n0tkTxd2ZG7iB6B53YSW66RTOBuqJSt/24w/348pdKzU3LNPJiKRHKOD3aKBKAkqKOBiWUc+09cF6Wrp4+l7X+bgS/W8+darWL9t9YLnolAoTkNUHYpJnPWCovNEN5HhKMd2NuBwObjwxnNJmRb/+t7/Ih6dX6GqEYSQvOXtLQRyTPSMfqhbP0x5eYwHfr0SOYdeEWNxSp2aaGD0ecq0iAVj5JflMdA5+4BRrS+OXeBKl9ceiy4QwZMLvgAKem0Kek8u1KHVPrqvL8lkm0rQBKWPdxM4kQ4Azb1kBSJbbxDLxrulhPCOtlnPcwTTmX37iDsmPBBixeYa4kmLge6FtQ3fST27RAOpTGTnCdlFq+jj3fIKcvFOeV4qafHoT5/D4TJ45jc7laBQKF6jqEqZkzlrBUUsHOOX//oAe57ah22fvLN+6LbHsaYoojRXVtSE8fpSo2IC0n0r/AGTyuoIbS2L15BpoHsIp9sxZb2JbLie6yK1OnCywyiAaWEcHEKbUMNBCEF+aS6JaBJ3VS4NV3uQ+ngh0n19Kd6ftuC2NAwj4x+Z4IKQANbcO7IC5AxKhgsnizBfSKavIgTtR1qp3FRDcUUeTpdBKp4kFEkSDc4+vsIkxS5RP64UuhRgyvT218utM47x1o9dQ9Xa0llfU6FQKM50zlp55fF7WLGhcpyYABZNTAAUFiZwOCYvnoYhKSycu8l/JpJxk8Lygin3T1TTekcU7z2NiIFEepFPWjh39eH57ckYB8NpULWuAsOpM9A1hNvn4oQ7hszmWxFgXFqB4dBJ7e9FmpNdD0ITRPbPrgvqROr2ZVI4R/5mUqKlJOv3nhRQtmXTuu8EXUdaaNl7guHuwTEjzE7IDBFBy/LVkAI6GJjVGMdebeLwKyfY9fRBbHvhLhiFQnGaIbKnjJ7NbpCz1kIBcNW7L+X3P3+WVDJFLLz4GQLBoBPTFDid4xeyVEoQHJ45+t9G0udJIoHimBNtmoDDUJFB91oXja4E1YF8qiMOhnqGsUybkppiosNRnG4nXU09484zGoL4v3sw3QsjZTMxgaS8poTWMVkj/Z2DWJV5yCxfGikEA0Nh8sNxYjuayC9xk//GdUC6qqfQBNF7DlO1soRUMkUybtLfOThpnKnIG5Rc9MckDesNQnkCf1Cy+kiK3KGphUJkKIIcDFOysgRXrp/O5v4pjx3BhxuLLCJAMq27Yyx7nzvK3ueOUlJdQGFZHqXVhXj87plPVCgUZwxCP7W1eE53zmpB4XA6+Prj/4ht23zu6q8sOGZiIo0NfrZf0othWKOdNm0bzKRGc9P07o5uT4LHVvSOFrLSpODa1iKqIpMXpZYtbjo2e9N1ITRBd7nNifYoW7rA5XPRlmkO5vG78ef7MOMmidj4GAmyWBPySnIJDU1O8/Q2Rxm4MH+SqBC2xNt48vjBh44QerEF35ZS7KRNZE8HdmR8pcuKNWVI26azsQchBEIwyWo0Or4QVBg+cl6JZLeQTIEQgt6WXnRjgJJVpURiFpHg1O3WvbiooYQm2TOurbyBxgVyLboj7dJJxGZuLT/QPcyDt/+BvJIcLrx2E9VrK/DnemasD6JQKE5vhBBo2bodnsWctS6PsWiaRt2Faxd9XMvSeOj+FXR1eLDttJjoaPfy0P0rsO2pFxRTs3m4poeYw8bUJaYuSRg2j63sJaqPd8kkvBrtm73p7IfMAm87NAYqnfTkWIQGwqPHxsJxwoMR8ktnV7HR43Nlrbnh7k0SOBJCJO10H3MpEaZNzqEQrv7xrpxUb5ThPzQS+lPzJDEB6bTczsYeiioKyCn0U7Yqe9yBx++moDw975IVRVmPcXmcFFcVUlieT1VtOTkFJ0Wbw+XAG/BgCHBrFitWFVK+snB0v42kwejjWVc9u52tXMZG1lKGgYaBhhcXNznOY527EMIRIl19uDWLwgIP5VV5OFzZtXm6gmYLJw608sd7X+Gpu1+kc4KVSKFQKF4LnNUWirE43UtTgCgccvDIb6vR9fSdrmXNrOFO5ESzevslkuN5Ec7pzxndNlThQEiJnNiV1ID+aie5XZMDNPs7Bykonz4jpKq2fNpKmyVP9xGojxCsSy/aOUfCeNqmvuufiqFCjc6VOrYWorTVoqA+SF5RDrlFAYJ9IRLxJPklucQicfo70u6RYH+I3MIA3hwvDqeBZVnohs5A5yC9bSddGrqhU1xZQCQYJRKMYVsWocGMwGrpo6CygMJCD7Fkgp9ru+mTEZJY6FKw093ChwOX8rpjQeJ2Ep90IhAMkxZYQggiQxEiGQtO8Ypi8Bp48vzEhyMYLgfdnSczTfx5Xo692sR7/vZN5BefzNBRKBRnLsrlMR4lKDLc8vdvp6iqkEd/9NSSjD8bITFCXLexJ1XDBEuk941lYp+JUSToyez7zIRJeDBKdV0FHQ1dWes22LbE6XJgJrNnjAjA2xrD2zp3ETFCw0aD5nWOUVdNT6VBcYfFpldCBPtDo8d1No6/oxdCEBwIExxjfcmGlbLobR8YPWfi6xzI7Nvt76Y7J4SVcS9ZQmJh8YvBHXzA2oifmctm97b0pn9pTs+1etPK0X2rN1ez5dJafAEPDqeu3B0KxWsBIRCaWkLHot6NDC6Pizd/4jq2XX8OOx/fixCCytoy9j1ziJce2X1K51IZcaMhsCfYKQxbUDkhhqKgLUlDlmJLmg0ljVPHhCTjSboae3B7XVnjCToauihdWUx3c+88X8X0RH2C5rp0F9MRLIegt1JnqFEjv+/UZUYc9w2OiomxJDSLISNBfmruwZSxYJh1W6toaeihpKqAmg0VaLpGIM+3GFNWKBTLjlAWigkoQTGB8lWlvPkT140+P/fqzTTub6andebsgMWiKO5kVdBDYyBGSk8vdIYlKI+6qIyMv1vWU7D+j0GOXBVINw4j3eNi1csRPMHpF2UzmSKvNI/c4lwA2us7x909S9tG1zUsa/EX94FSPWsWp6VDb7lOfl9aTsXPLSC+rQjp1HEeHcb7QvekGhkLRZuywJicZt/UCCH4wD+8k6q6Cp74+XPUH2inYnUpa7eunPlkhUKhOENRgmIW5BblnFJBAfD6tkLqc6McyQ9jA3VDPtYN+bL2qsjrSnHhrwcZLndga4K8LhNjCnfHRHrHdE/NLQyMuhGq6ypoOdK+ZOZ5zZKTUlQBhA16xo0TvrGKxKa80cJb8QsKSa7PJe+HR9GSaZFjugQDK1zYhiCvLYknNHexsTFSyAtG+/jW8BL8lpMca4rynNNQvrqE1RnxcOU7tnPRDUm8KmVUoXhNIQQqy2MCSlDMgBCCLa/byPE9jaf2ughqh33UDs/ORK5bUNA2cxrjdMTCcVxeF4logshwlJwCP6HB+XcHnY7iDosj503eLiSUt1hYOQ4SW/LBGBN7YmjYHoP41gK8O/vor3bS8LockBIpBC3n+yg/GGXFq9E5zWVDpJA2V4gWdxAJaAh0Kbihf9W8mo2de/UWdCP9jyavKBeyJ6UoFIozGuXymIgSFDNgJk0uuO4cknGTh3/wxHJPZ0nRHTregAe3x4lm6ER6FtYPYzocJpzzYoJ9l7hGXR9SwPrdSbwRSaLOm67eOfET6tRI1fhJ7e2n4XU5mWZhJxf9rk1e8tuSBPpmV34c0gLi+oFV9DmidDkjeC0HK+M56PPMqs4tzpn5IIVCcWYjBEJZKMahBMU0tB3r4Lt//SNCA2Hcvpkj/c8E8t69CdsQOIImQ4/VY5knXQSGw6C/cxBNEwgE9lxal86Dwm6b1/02Rn+pjtSgoNvCkTGyaKEprC2WjTaYZKjSmSnBPSFdVoO+1W4CfdNngGSjyPRSZM6uEuZ0tBxqg7dftOBxFAqF4kxCFbaahmTcHC0MFY8sbhXN5aDk0hr2r4aDKySvbjYwPrCR4vOrR+MkXF4nuZetRMtxLbmYGEG3oKTDorTtpJgAMDqi6EFzciMxS+LZ3TdRR4xDTvGplhok1wSIb83Hypt7bMRsefnR3bSNKVeuUChemwhdz/o4W1EWimn4/c+eWe4pzJm8VUVIKdFdBoPHesaVqO5/pRXj8vWkMp/3+lIbrs/hfF8NsSN9yEvKObhOsPKKUuKGTemrIUjZUOpl6M5984gmmD8CyP1lA8G3riRV6QUbtHgK/8Ot6INJ8iIiaz8RzYKiLOmyqUIXw+9bg3Rk1IYmcO0fwP9Y+6K/LjOZYv9zh6laV7HIIysUitOFhZTeFkL8GLgJ6JFSbs5s+wrwUWAkV/9LUspHMvu+CHwEsIBPSykfz2y/Afg2oAP/K6X8Wmb7KuAuoBDYBXxASrn4HSknoARFFo7tauCZu1/g1T8eXO6pzIn8NcXsf2fx6EJ7zrECBu47TMG6EoJXlhIYtPBLnWGscRmbuy/3wuUrRp83a1GwoXfrSPVQC+/fn8OqHkHwh6+estejRVLk/aIB22sgnRraUHJ08TeSklU7QjRdHECKdPyFZkFRQ5xA93h3iQSCf7YK6TVGy5MDJDbn42yO4Do8dcXQ2SKRdDujxLQUpUnvrFvIKxSKMxWB0Oe9hN4BfA+4c8L2b0kp/33cVYTYCLwH2ARUAL8XQqzL7P4+cC3QBrwihHhISnkI+HpmrLuEEP9DWozcNt/JzhYlKLLw3H0vsefpA/M+P+aUHK9KMRCwyQ9p1LYbeBPzvw8u2lxOalMBqWdaCXelAyUL1pUgbYmxJh8RSmINJzh2YxFSO1kz4sAajc21Jex7WxE+t0F8lR8P4AWipslQfPZVLqN2ivYSJ8tRNFqLpiBL4kZJQ4KcLpP+Vem00fzWJP7+yQu5VezG9o8XEwA4dWLnFy5YUIT0JL8taiCqp4WMLSTx5hzeLK9TVTEVCsUkpJTPCiFqZnn4zcBdUsoE0CiEqAe2Z/bVSylPAAgh7gJuFkIcBl4P3JI55qfAV1CCYnl4y19eT3/HAE0HW+d87rDX5vfbktgCbB168yzqqyyu2eUkLzL3kBXd0Bm6rJjGAgtWV1PTr5G/a4jmK/IY8IyIBwfggwktty0d2t5YitulE3C50cYsbh6HAyklw4nZtW0XQPWeMDMtvZ5V+Tir0oWyhK4RPdhNsndpUk8B3BGbygPTCyNpiNGiX5NwLDyM6NHCEwSNBGNrYP2m/hUe2PE8b7/k8gWPr1AoTkPEtL08ioQQO8c8v11KefssRv0rIcQHgZ3AZ6WUg0AlsGPMMW2ZbQCtE7ZfRNrNMSSlTGU5fklRQZlZKK4q5OP//sEpu1pOx+51Jik9LSYg/TOlw666+dWIsFIWrvhJodBUaLPnuhz63RaDAwO0NbcwPJh9mXfpBoM+ScDpGicmADQh8DpnH5i4Puhm+IkG3KvzybuxFt/WskkLdM7FK2h/50oObg9wcHuAAxf4CH94AzkXVc/6OkuB0R3LZIRMIGnhPDi4oLGH9QTDE8QEQMJO8e2Hf7OgsRUKxelMOm002wPok1JuG/OYjZi4DVgDnAt0Av+xhJNfEpSFYgp+/KVf0tPSN/OBE+jNk5MzEAT05UrSPUHnZgIvOqeS4xN0jWmavPTcC4RDJxto5ebnsf3SizEcDkq8fv58ywVcUFpBPJXiKy8+RSw12RUgSAuL2WR0NOSaOD+/lbCdEUbnFlLy5kryf91M9FgfgW2VNFyeT8IeX6myx04se10nYUPgoRaCb6tJS2hDg6SF3pfAs2dhFVCTmpX5m05+Dzu75v75USgUZwZCCLRFzOiQUnaPGfuHwMOZp+3A2Luyqsw2ptjeD+QJIYyMlWLs8UuKEhRTkF+WN6/zdBtSWew+us2cxUTx9evYfb6DiYvVwVf3ERweHpfBMTQwyHBzGz+49eNsLiod3e7SDVbnFnCwf3zHToCA08UHt5/H4f5enmlrnDamIiktknKiWIjju7mGgHs9jbEwCZm97PWRy/NYeWkZ7mfaSfZEMPsi2PFTG7TobAiR/8OjxM8pwA4YOE+EcR4dQiygTUlCs/FZjqx/Vd0WbHWpLA+FQjE7hBDlUsrOzNO3ASOBfA8BvxRC/CfpoMxa4GXS94S1mYyOdtKBm7dIKaUQ4mngnaQzPT4EPHgqXoMSFFPwwa+8i8hQlIMvHp3Teas7dOorrVGXB6SzD1Z1zF7JCiEouqCK5vUuJsZFSCnpaO8YJyYAbNvm0LHj48TECG9bu5H6oX6S1snsDqem8966rVxQVslllSvJdbm58+Bu/s+2y7BsyTNtjezt6Zw01kQajRhuUpTm+GkZHs56jA00anG4qgBEIaWai5x7G4g1LszdMFf04SS+Z7sWPE7QYfKHyj56POn0VF/Ej2WFsJFIke4K67McVBzViEcTuL2vjaJoCoViPPOtlCmE+BVwFelYizbgy8BVQohzSd9BNgEfB5BSHhRC3AMcAlLAp6RM370JIf4KeJx02uiPpZQjqYmfB+4SQvwzsAf40bwmOtfXNXFhOpPYtm2b3Llz58wHzpNYOMYPPnsnx3afmPU5liZ5frNJT76NZqcrNxYPCS7b78SwZ2ehKL5hHcc2OQk7J/9tpJQ88sBDWc9zORzEfnJX1n0d4SC/azxK0/AQRR4vb1xVR13BeGdEZzhEntuNx0ini7aHgzxw7CCPNx2fcc5SStYECokmTLojMwdhOoXGunab8MPH8NQWEtzdcUrrXMwXS0h+UdtKTLdPFtCS4DBtVvcZRDSTlfEc1kcLcEidj379/Zz3+i3LOmeFYrERQuySUm5b7nksJ5vWFMm7v3ZT1n1b3vXTs/L9URaKafD4PXzka+/j89f906zP0W3B6/Y5CXlsgj5JICrIic4x9rUvRshhZHWRCCEoKCxgoH9g3HZNaFy/5dwph6zw5/DRLRdOe9ly//ik0Ep/Dh87ZzulvgD3Hz9I1ExOGW8hhOBEOD2n1fkFNE4RKDpCUtocKJc4P76epLTxXFNCqeXEuPsI8fal6yEylsmFu2emMRDF1OT4apwCpK5TLvNZ3z/+PXzhN68oQaFQvEZRvTzGowTFDPjzfHz+zr/GMi2OvFzPS7/7f+ydd3wcZ5n4v8/MFu1KWvViNUuW3HuJ05zq9J4QElqAhHqUg6Pnd9wFQrlwHBxwoVzgIAkESA8hPSRxuh2X2I57lW313rfOvL8/dmVL3lVbyf39fj77keadd555Z23NPPPUtXQ0dxEODp+1ke43SB99mYfBZA/f6nruogW8/eobmAr84RBelxuv283PbrktyRMOjcs0ef/0OdwwdRYt/j5+tX4lm1oaCVmD4yWa6+rY/M4aejo78Xg8zJ6zgMLKqcPXYRAhpKIuHb9tUS1+fB+uIlWZZL/RSOfb+yf8egBSSjNwV+VyYEkGBY/sHZPrpdsZGdzmPEbEVHQ54+NCNr+9nbeeXM1Z1wyvzGk0Gs2JjlYoRkBEmDyzBIAp8yZzxSeXY1kWf7rzETa+tgV/z8h1HPLLcimfXcq6f2wkEk4cuDiQjtf3kT53WkKXR4rDwVkz5vD5JcvYvWcPG/ZXs6SiklvPu5Cs1LSxX+AoMQ2DgtQ0vnv2RWxtbeK3G1ezsz2aIdHW1MTql1dgx5QMv9/Pu++uZoEVYeqc+fSGDylf4VAIpRQud+K4gi4rTBdhAsvyyG3ontA4CwVkfXAum/pjJe0wvvdVkf5SLV3v1uHIcGN1Dt+zJS8QdV2FzcH/Nk5LyAskTsP90/ceIeQPce77z+TRd9fwm1dfpjcY5AOnncFnzr0AzxjSdzUazfHBRGd5nAzoGIpxsG9rDVvf3gHA8/e+QtAfIsXrJrckm7nLZjJltiVD9AAAIABJREFUfjlpWankFmXRUtvGjz52N2kFPrxV2bSvrSUcGGzlyLl+JoF0k7BT2J0/OBgz35vG5xaczqzc/IMxDseSjoCfB7ZuoDMY4Kd/+D9aG+KDHU2Hg0/c9inqu/vo6+3h3VVv0tHaCgLpvgwWnH42voyhs2nyDDcFGzvpeH4n6uunEYyFlKZZgvmnLQSbBsdqGCkOvFU59GxqHDTuO7OM5nPy6VMWvXa8FcEAsg03LVaAOQ0GHX/eCBzKrRloY1EoHquopy0ljBWzVBg2ZIScvH93EcYwTpQ953t5K1hLbyhaUt/jdDFz0iTe/Ma/4XJo3V5z4qBjKGBOVb565Kc3Jtw389pfn5LfzzG7i4mISbQaWK1S6qoB478AblNKHbnX7Qli8sySg9aLRRfPwzANUjO8eFLjXRZOt5PZZ01n7Wkumr02jmXTyAgYTGpSOHojoKJ++a1FdpybwON0cueyiyhO8x2V6xoNmSkePr/wDAD++5d3DzFLsbe9icqcQv709OP09vWBipas7Opo5+2XX+DCK6/DOcQberMdpHVOCgXzTqPe8kPse2kRcH20iiLbTep7bXS/tQ8VtLC/sBCz3cIbjFpKnMtKsbwmRn0f+Q1hduYnXqUNtNhB3IZJc7GTnE8sojFH8CuL4kf2DbKSCMI11YWszetgR2YvCpjamcqS5sxhlYkul8XLnXuxBsRe+MMhdjQ28Mi61Xxo6ZlDHqvRaI5Dhq+UeUpyLF+LvgRsBQ4+JUVkCZB1zFY0DvJLhy/f5EpxccO3r+fAn/5OU6kiYgitXpvWcohm/ERJ9EhaWlhyXCkThzO3rJxXNm2IGxcEh9vNmh2bCYVCUWViALZtUbu/mvKqaXHHHpwD1NuBg8pEPyFlUy1+wjMMnD4f4RQT0+rDyDTgmkmxWZHop8KMShrBGBdUNo0qSGNmNNV35kY/nQlcLk5lcEZTNmc0ZQ8vcAANaSFExRfA6gkGeX7ze1qh0Gg0JzzHRKEQkRLgSuAHwFdiYybwY6INTa4/Fus6kmxuaeR/N65m7+ShC1wppbAtC3OA+dvndnNZxdAP3OOBOz/8cS79zrfoCx6KP/C6U/jyNTdw1dnLeXnl22yw34o7zrIsenu648ZHS/X2LWxesxLDiL72G4bB6csvJzM3L2mZAE4RqjocdL743rjkDCQlkth+4TRNijIH69B7Wpr5zesr2NJQz6KyMj5z9vkUZyZXaE2j0RwhRLSF4jCOlYXiZ8A3YFDzyi8ATyql6ofLDBCRTwOfBigrKxty3vHGppZG9na2Jdxn2zbbNm1m/9592LaNx+th9vx5TC4p4RcXXk2Ox3uUVzs2ls2awxP/77t8+Xe/ZlvNfnJ8Pr5x/c189bobERGsmV24nU4ih2WGmA4HWTnJFebubGtly5qV2JZ1MBgU4O0XniYzN4+OliZcbg9Vc+dTNnXGmLp+Tg656f7d6qTWNRQlXS6cSgirwaXZVcTm4qwpB7dX76vmht/9klAkQsS2WXugmvtXvc0LX/gK0/Lji5ZpNJpjgyAYOm10EEddoRCRq4AmpdRaETk/NlYEvJ9o5bBhiTVZuQeiQZlHbqUTw6r6A7xZu49XD+wdcs57726grqb24IOxr7ePtatWU5Wbj+sE0YAvXrCYzXf/LuG+s2fMZmFFJWt27SQQjgYkimGQ4vFSWDy4cVhnRztbNm+ko70Np9PFlKppVEypilMI9u/chm0fVjdbKSLhEC310bL1kXCYzavfxt/bw4yFo0/brHYFmXHDbDoe2zzy5GHIv6ECKUnB43Axoz2Hf7p8Blf/4ic09nQhRDugXlCdwSNff4i3Z76O52uV/P65d+iLBW0ChCyLsGXx7ace56HbPjuu9Wg0mglEx1DEcSwsFGcD14jIFUAK0RiKzUAQ2BV7cHhFZJdSquoYrG/CqO3p4gcrV8SVyR5IKBSi7kBN3MPRtiy6DtSS7jrxyzaLCM//+w/5j8ce5N6XXyBi25w7fyGdmTkH3RUAPd1dvPXGCqyYYmVZfrZv3UTA38esOfMHyQyHgsN+r/1YkQi7N2+kas4CHM7RZcdElOJApZvi00roWl0z6uss+MQ0VFsIyXTRO9PBXncPil7ynMJXl1yMKQbfKj+T1x5ZQ8RQ5PQ5MGPmisgZaaztrKa+Nb6olwLe3LNr1OvQaDSaY8FRVyiUUrcDtwPELBRfG5jlERvvOdGVib/v3sbTu7eN+NAL+P0YhhH/tg3sqK87Uss76njcbu784Ee584MfPTh27/p1PLZty8HtnTvirQ6WZVG9dzdTp8/COUAhKCyroOHAPqwEXVTjEGHrrq2kpKXjS00nLzN7kCKTiE47TFnO6F1NSqBvuoN6dwAYXJukLxzks6t+S5ozhbbTepgemobhc9LwuwF9YtwGhiEYhmAnaLWe7h6+2JlGoznaiK6UeRhjrAmtGS2v7N9Nbc/wJaTdpoP5xWVx2Q8QLaW9pKLySC3vuODiKVUYMVdGX28PzXU12KEQ6jClwjAM+np7Bo0Vlk4mKzd/UADr4Zkg/SjbxnC6sGybju5O9jXWjsq6sWm2G/X108i4cMqIc32zsql39yTc10uYoB2hNdiDAvaeHWH3XD/5V0RjgPK+PZv9M4OICMWlPgxj8HWYpnDW7CkEreGrs2o0mqNIzOWR6HOqckyr6SilVgArEowf9zUoRuKS8qnsbG/FNAys2AOyMDWdTHcKyydXMiUjm3xvKpkpHtLau/nFC88MypLwuJz863WJi6acLBT7fMzNL+CJ11ewZf2aQ8GVYVBOJ+KM1qewbRvPYYGphmFw+kWXU79vL3X79uBwusjKzWPz6pXY1iGrhRgGaXn5mDHrhgJC4TB9AT+pIwS7KqDWDlC7wEvV3NMwFLhq+uh6bgd236GHu5HqIPjJPLJIwWV78BtddJFYuRjIgUsF89IKquk+mEw6e04egUCE1ua+g9aKwklphPL7+PaGB/nC9MuYnJpcIKtGo5k4RFso4tDl+Y4QyydXMisnn+I0H7U9XdT2dLGooAi3Gf+V/+CmD1OUlc1/Pf03Wrq7WVpZxX996OPMOixg8WQkz+EYrEz0Ew6jTAemw0lRcUnCUt2GYVBcUUnxAEtOijeVTaveJODvQxDSCwvJO6zOhVKKYDg0okJxEBF2OWJujAqDnC/MY9KWHlRbgL6tTWReWEC14ScdByI2Csglh046CTO0SyaCIsLhmS8GS88oprc3RF9vmLR0Fx5PVBlqDHTy3Y0Pc33pUi4vWoBD38w0Gs1xhFYojhBOw6TMF60dUObLPPh7IkSEL1xyBV+45Iqjtbzjhj17dyd0+QAYts3k8gpmzp43anmFpZMpKCkjEg7R7ffT3NkW594wRHCOo3x5qxWidboLcOFblkOLUvhrbEKmid8Fzb0mECHbk0NOXoRWWsd8jtRUF6mp8RVEI8rm4f0reatlO7dVXsDU9Elxc6pbmvnek4/x8rbNFGZk8s3Lr+a6Rbo5mUYzsQjR8kmafnQMheaY4hoiOFJEmDZjFrPnLhgxgDLRsU6Xm4x038EYjYEYhknaBNX26LLCdNvRmhG94TDNvX5METwOB3lZDmzig20ngtq+dr7/3mM8sPd1eiOHXGX7W1tY9N3buf/t19nX2sKqPbu45be/4ifPPX1E1qHRnLJItH15os+pilYoNMcEpRQ/eeQv3P3wn+PdHURjHwpLJ4/rHKZhMLmwGM+ADAlviofJhcVjKnQ1FoozUqksdeGe1EKzWUc7E9ct9XAU8Hz9Rr627n4erH6LBn8H//HM3+gJBA/G7QD0hoJ858lHBsXoaDSa8RK1UCT6nKpol4fmmPC75/7Ov9//f/iDATBN6HdBxFoCT5s9n3RfxrjP43K6mFxYHE1HlWj2zJFDkZ8ZZq9qBhEcYjPHZ7Ou0yDTCR3hI6PE9EZCPF33Lk/XvcvzGzcSseMVNFMMdjTWs6Cs/IisQaPRaLRCoTkmfO+Be+kLxgIdLQtsGwwTwzQ594rrSM8YvzIxkLG6TQYSDPjZtWkjjTX7cKekMGXWXCaVVcTNK/dZfLD8CfoowsTCLS2EVAbrOmfgc6gjplAMxOFJ/HYUjEQoHKZVvEajGTsyjvvKyYhWKDTHhIb2w/qaKAVWBNuKkJqenvigY0AoGODVvz9GOBjAtm16uzrpbGula3Y70+cvAkCwyfYoPj1/JYZ0kEYHAF32bJ5ujtaacBtHp0r87HnFNDV2YUUOuTwMQ1hYVa4VCo1mAhEdlBmHVig0x4TZZeWsT1BO2pOWPi5rwkSzd9tmwsHgoAqeViTCrk3rqZgxG5fbza1zm5iV/QrIYKXBZ2zjAwUHCKgCPOwkIkUEVCb/U12OpY6MtaKwKJOlZ05h7aq92LbCthXFpVl86przj8j5NJpTllhQpuYQx8+dW3NK8ZPPfBHPYbUlTNPB7NPOPEYrSkxzXS12gpgEwzDpamsB4PEdeTT6lyQ42kLowiM7QcBBHWmyhX8u30PKYRaLEo/NJPfEWDEqpxVw44eXcsV1C3jfh07jvItm8k7nbrrC/gmRr9FoNInQFgrNEWFnaytTc3KG3H/hgsU8/4Of8q/33sOWfXupKi7hfZdexetdw5crTxbLsti7eSMHdm4DoGzqDMpnz8McoUyuJzWV9ub4cWXb5Pg8fHxuE5UZe/E4do96Lamyja+Ut7K+dx6ZjgCNQQ9n+NbQZlXw631FY7quwwmHIjQcaMUwhMLSHExH9Pp6I0Ee3b+KWyvPH5d8jUbTj3Z5HI5WKDRHhOGUiX7OmTuf137yy4PbSily1q/jie1bJ3QtSilWPvskHS3NB8tyb1u3moYD1Zx1xXXDppBOmTWXxgP7DnZAhWidi/TMLCqL0jFoxWOOXpnox6CZRd6XQGBKzFDTER5fxfm922pZ+cLGQS6j865dQmFp9N/i9aatXFe6hCzXCV/ZXqM5LtBBmYPR34bmuEFEuHXBIioysyZUbkt9LZ2tLYN6fNhWhM6WFlrra4c9Nis3n3lnnovD6cJ0ODFMk6y8ApZeeCl7Op38aXM+Lx24moAVn/UxIofpMV4zNHYZMbo7+lj5wkasiE04FDn4WfHEasKh6HVHlM1LDZuSPodGoxmA6DoUh6MVCs1xhYhww4xZCStcJkt7YwNWJL5TpxUJ09bUMOLxJVOquPTmW1h2+dVceN1NnH3Z1bg9HgBCtsGze9LZ3VEBCpTyJL3OSY5VXJYfGHliAvZurUElaHsOcGDXoWt8oX4j9f4jV2xLo9GcumiFQnPccV55Bd8+5/wJk5eSmjq4zXkM0+EgxZs6KhmGYeDLysGTmthdsKU1kyb/aezsPD35hQp4jaGbiQ1HKBjBTqBQKKUOWiha69p44+mVXH3Xt3hlw9pRtXDXaDRDIWCYiT+nKFqh0ByXLCkqZl5B4YTIKiqvTOjrFMOgqKIqabke0+ZT8+u4oKyX80v3kefZxLTMFYPm9PgVB5oVYWt0D+9ZnleZmjr2/h8lU/JxOBPcyBQUleex6bXNPP/7F9i6chtr33qPK/71q3zmZz/SSoVGkyQC2uVxGFqh0By3LJk0voyHfhwuF2ddcR2pvgwM04FhmqT6MjjriutwOJPvOjopPcL0zBVcOeVv5HnWInIoLTMYVnzrPoszv2Fz9fdtzvy6zV9fH4WiIHBN/h4KXGN70BeU5lBUnjdIqXA4TaYvLEdQbHz1PaywFW0AAgSCIR54+QXe3qJjKjSapBBBDCPh51RFZ3lojluK0n0TJisjJ5cLbvwQfd1diAietPSkG4RNyQhzdVUdhal74wIr+7njzzbPrIXQAA/GXY8oCjIVF8wd/rwetpPmnEJjaPTrExHOuWoRNbsb2bu1FsM0qZpTQmFZLjtW70i4Tn8gwONvvspZs+eO+jwajUYzFFqh0By3uBPEPYwHESF1nA3HZuWEuW3OoyBDWxt6Aoqn1wxWJgD8Ifj1MzYXzB3eJHogfCad8TGkIyIilFYVUlo12FVkOEwkgUYhhuB2ucZ+Io1GA3BKuzcSceraZjTHPf5wEk/VI8z+bpOR/mzau8EcYkr9KBIsSl1v84mSjRz0T4yT0uklCWMlxDCYsWDqhJxDozn1EMQwE35OVbRCoZkwQpbFHzeuJ2zFl6pOhua+3gmRM5EEwrC3+0yCw9SdKMwGR4J7iiGwqHJ053HQmeQK43F73Zxz0zJMp4nD5cDhcmA6DBZfuohgmg7K1GiSQ9ehOBytUGgmjP2dHayrr8OegMwBWynW1ddNwKomlogy+OW6UgwJDjnHaQpfu15IGeBNMARSXPDPV4/uT06IUOQeed5oKZ1ewo1fu4Ezrl7K0itP4/p/uZ7pS6fxXsd+nemh0WgmBK1QaCaMKVnZ3LX8kgmJfXhqxzbebaifgFVNPPPygjhleGXnA+cY/OyTBvPLoSATLlkIj3zLoLJwlIGWKoTLHN+DXtmKxupG9m3eR193H64UFxXzKqhcMAVPWgoAbaFeqnsTNCvRaDTDIkLSWR4i8nsRaRKRTQPGfiwi20Rko4g8LiKZsfFyEfGLyPrY5zcDjlksIu+JyC4R+YXEIs1FJFtEXhSRnbGfQ5YfFhGviPybiPw2tj1VRK5K5jvRQZmaCcMQmbBAyv2dUZP/NdNmkO3xELFtmnp7WVtfR6u/b0LOkSxz8rqHzO4YyAVzZcQAzCERm8vzGniysZDawNj1/u62bl78/fME+4KICJZlMfPMWSy8ZFFcdstrTVupSMtPbp0azSnLuJqD3QvcDdw/YOxF4HalVEREfgTcDnwztm+3UmpBAjm/Bj4FrAKeAS4DngW+BbyklLpLRL4V2/5mguMB/gCsBfpbPdcCDwNPjfWitEKhOS759OLTOLO0lIWFRYPKcEdsmzf37+NXa1bhjyRXVXK8VGYeHctJjvkuHy/y8EDD+RS5bQrcQZ5s9GKp4bUZpRSv/PElejt7B8V1bl+5jdzSPMpmlQ2a/3rTVq4uXky2WzcN02jGQrIBmEqp10Sk/LCxFwZsrgRuHPbcIpMAn1JqZWz7fuA6ogrFtcD5san3ASsYWqGoVErdLCIfjK2jTw5/6xgl2uWhOW5QSlHb3YWtFE7DYFFhUZwhwGEYnFFSis+dOMBA2TbVWzfxyqN/4R8P/pHNK98kFEiuP0YinIbNvq6CCZM3EoKfS/MauTDreWZ7V/Ctirco8RzSElITuEW6mjvp6eiJSxKJhCNsXxnt5OoyDOZkeLmwIMxFBfup6X3xiF6HRnOKkSsiawZ8Pj3G428jqhj0UyEi74rIqyJyTmysGKgZMKcmNgZQoJTqf/NpAIa7aYVExEPsjiEilcDQQWLDoC0UmmNKbyiE1+lERHhu907+uGE9v7/2elIcTmylEnoWDBFa+/wJ9sD611+mvnoPVsx6sXfre9Tv28P5N3xgfFUxfal43A4+OPUdslxrk5aTDHnmuoO/Cx18ZNJ6NvbOZHJKG31WCvfVZA+aHw6FMQwDi/hsGxWKcGXRbkT1MvAdpCW444itX6M5KZFhXR4tSqklyYmVfwUiwAOxoXqgTCnVKiKLgSdEZPZo5SmllIgMF5B1B/AcUCoiDwBnAx9PZu1aodAcVZ7ZuZ0dra0oFFdPm8F9G96lpquTK6ZO54H3NlCQmkqKI/rgT9RxNBSJ8OCWTURUfGGp3q5O6vbuxh6Qtqpsm1DAT82u7ZTPnDPm9VZOSsfGosZqAWBNVwEX545ZzITioI5FqdGgUK8xFRisUGQVZic4KlqK+8z5TkKBblJSBhsn20LV9ISbSXPmHZE1azQnJRNcZltEPg5cBSxXsfQrpVSQmMVAKbVWRHYD04jGOpQMOLwkNgbQKCKTlFL1MddI01DnVEq9KCLrgDOIRod9SSnVksz6tctDc9RQSvHo1i28XL2HV6r38tUXnmVDYwPZHi+72lpxGgbXTp81rAyXw8GH587nRxddytfPXMb1M2YxLTsHgI7mpoQR1lYkQktdbdz4aGjrCBPiUKzGy00unmy8kqAqG+aoo8Oe4Nk81xJf2MJ0mJxx3Vm4XCZGTCczXSa2w8kzr3XyiW/s5Jf31xEKHVLKlLLZ0vn3o7V0jeaERya4DoWIXAZ8A7hGKdU3YDxPYkJFZAowFdgTc2l0icgZsZiHjwJ/ix32JPCx2O8fGzCe6LzXAxGl1NNKqaeAiIhcl8w1aAuF5qghItx5wXLW1dfhc7kRESalpZOX6sXnTuGOFS/xds1+rpg6bVg5hggzc/MgN49zJpcDUNvVxTcfe5ANCQx7Yhik+pLrC9LuD2AaHiS1PyRByHFFcMmxTbW0yeTV1ioMMch22JhmmOZgNDOmIjWV85eXcu2c2bz4ch17a4LsqYtgWRAKR6/irbXdRCKKL91WfFDmvp5VTEk7j9yUUVbf0mg0SSEifyEaNJkrIjVE3Q63A27gxVhM5Eql1GeBc4E7RSQM2MBnlVJtMVGfI5ox4iEac9Efd3EX8JCIfALYB9w0zHLuUEo93r+hlOoQkTuAJ8Z6XVqh0BxVitN9FA/R9OvO85cnXRSr2OfjVx+4hSefepzurk4YIMcwDCbPGLXLMQ7xBVEHvSiKUk83ictiuxltLFOPX/H8OyFaOm0WT3OweLpjTM3KWsOV7OjoOrhtinBeURqm+MlyrsGQMOnFJp+4pZTv/WI/EWtwRkw4rHhnfQ/dPRbpaYfeqNa3P8gFhd/AFH1r0GiGRcaV5fHBBMP/N8TcR4FHh9i3Bojz5SqlWoHlo1xOIk9FUjcAfdfQHDeICGaSHUABfCkp/P7b3+eff/YjGuvrQARXSgoLz1uON8nOpQ7DID2cTofRXwZc+PWeAlLMS/lAaQfpjgC1/nRSTJuHD6RzbXEPi32vEH2RSMzmvRE++sNubFsRDIPbCYumOfjNV9NxOoa6fgcQwSKP/YFpvNacM2ivpRSNvSaVvk4MGdwDpaklcU8U0xTauyKDFIr24D7Wtt7P0tzbRvhmNJpTnXHVoTieWCMiPwV+Gdv+PNG6FGNGKxSao0abv49sj/eInuPGBYu48d4H+a9XX+a5HduSblPuNAyKMtPocnVywG6I2x+wDO6tjg9+fKTGx9TpM/GZmxPKVUrxxZ/30OM/ZOHoC8Ka7REefiXIhy6OVrC0yMdvZ1MfyMNh2KxoziHbZbGy1clQVbU2d/jJ92ThPeyvevoUD81tYezDdBylFIW58Zkv+3pWUeSZT0nq4oTn0Wg0UUZTFfME4IvAvwEPxrZfJKpUjBmtUGiOCnva23hxzy4+vei0pB7wQ2ErlTAb5Itnn8v6tlZ6QqFRu1G8Tidep4MUlwPlCVJnNQ5naBiSzogPn0HC5/6eOpu27nihgRA8/OohhUJh8oNtMw+bdehtqMibwtzsLrpDXmxloABDFDkp8YrMjVfk8s6GHoIh+6AnyO0SbrwiF5cr8Q3xndZ78TqyeW5tDT944hHqO9pZMqWSu26+hUUVU0bzNWg0mhMApVQv0Uqa40YrFJqjwpSsbD6zeOmEy02kTAC4HQ5+dcXV7O3o4I4VL41KqZiU5WWfqo8qPKNomGpFItRs2Uv97gN40rxULJyBLzeTX+0u4Pbps/CZW+KOGXYVyqA9NIMnN6TwRpOTrJIIpjPxn+iS3Hq8jt1kuRLuHkRhvou7vjWZvz7ZzNZdfjJ9Dq6/LIezFg/tBrLsEF979Ps8+I9e/KGoy+QfmzZy7s5v89YdP2ReWfnIJ9ZoTmpODpeHiEwDvgaUM0AnUEpdOFZZWqHQnLT43CnMLyikKiubHW2tI84Ph20y3al02iP3ComEwqy4/2l6O7qxwhFEhOr1O1h81TmUzKzgtdYKLs9vwVRNBCjHLc0IvVQWGWSmGviDg60UbpdBZlkV535+LbYV3aeUYvFV51IyM75Venc43rUxHEUFbr7yqZKRJ/ZfX0Tx4Eud+EODVSB/KMS/P/JXnvjKhLzQaDQnLgLISeHyeBj4DfA7RvUqNTRaodCc1IQsi/qenlHN3d/ezeQsH53OkRWKPeu20dPehR2J/v0ppbAiFuuefZOiaWW82eLizZazmZsRYVOngztnrcRBLyLCL76Uxsfv6sKyDIIhG49bmFyWzaqVO7HCg7Mx1v79VbIm5ZKamX5wrDLdQ4Zr76B5W7Z389Dj9dQ1BiktTuHm64uYVpk6qutORFO7RTgcb09RSrFm7+6k5Wo0Jw/CSVLKKaKU+vVECNIKheak5KU9u3ltfzVhy6I7FGRSWhohy6LVP7hktwFMLkrFUjYIRFRgVDp67bbqg8rEIBR0NLSRXRytOPleZ/RPrDVcQpbDxCU1zKt0sOJnmfz21Qo21CvSiwvo7A4i+96ME2crxb6NO5l17qKDYwWeCG7jUAn/dRs6+emv9xKKWRM6OnvYvmsn/+9fKpk1PT1O5mh44IlmIpYDEriUpuTpzqQazUnE30Xkc8DjDMh7H1DrYtRohUJzQhOIhGns6WVyZuag8cK0NPrCYba3tnBuWTlfO2sZ3cEg7QE/DT097GlvY1NzE72OHvaHx16kyuFK3BdEKYXpiv+z+tnOYs7MyacqrYoZqevpdk7HnjaJ4vLoA7tl3VbU4WkYgLJsQv7BtS3eagozOe0czsh7HRG49y81B5WJfkIhxX1/reVHd8wY87XVNITYsLUPZaaAyzUoiNZhwA0XeOgIHSDTVTpm2RrNScXJ4fLor6j59QFjChhz9LVWKDTHnA0N9cwtKBwywHI49rS384PXX+V3V1+HZ0Dzr9n5BfznRZeyubmJiswsANLdbtLdbsoyMllaHI0n6I2EeKe5mlfqd7C5Y/RtyacsnklbXXOci8KT7sWXm5ngCOHtVhdr2x2kmufRHh58I8ovL0oYsGk6HUyaGv/gnpXZhghYlqKhKZRwjftrkuuyuntfINqiIOAHpVD9nV2VYkqBorj0AC8dPyGYAAAgAElEQVTWfZ9pGRczP2vYDssazUnMyeHyUErFB2klyYn/bWhOaJRSrK2vI3RYJcfRMisvn2+efQ7+SHzxJhFhTn4Bqa6hUyFSHS4umDSNOxddxZ0Lr6IsNWtU5y2aVkbFwukYponD5cThcpKS7uWs9180bFpsyDbilAmAtOwMpiycMSirw3Q6yC0rJL+iOG7+szUetncswzDA600caZ7hS+59ISdrwHHBAHR1QncXDn8XcysP7dvR+SL7e99J6hwazUmBGIk/JwAicmHs5w2JPsnI1BYKzTFFRLht4fgKKM0rKEw4rpQaU82L2VmT+MnS9/Fw9Toe2rtu2LkiwrzlS6k6bTZtNY24vCnklRWOq9DN3ItOJ39KMdXrt2NHLErnVFE8s2LIa3ivPUiFr4irL23kiacbCA5we7hdBtdfWZDUOmZVecj0OWhqHVAMSylMQ1h+Zsaguaua/4/avndZmnMrpjGKHFaNRnO8cB7wMnB1gn0KeGysArVCoTkpOdDZSWZKCun95vpRYohwc8ViglaEv+3fOOJ8ry8V76yJKfQkIhRWllJYObrYhIhSPLGvmOUXZeMPvMLzL9URzY2H664o4JILkuuzbhjCd/65mJ/f28DOfQFEhCyfyRc/WjDYehGjpncdDklhVuaVpDqOXW/3sSqQGs34OTGsEYlQSt0R+/WTSqlxpYv2oxUKzUlJaUbGyJOG4ZbKpaxvq2Ffz5gDnY8qtoIX6z3kn3Ud/3vNu/R2d5KZ4cDpHN+NLjvTwXe/XEJXTzR9NDvTHPZhXd3zFvt736EsdSkVacvIcVcgR9n0q1DIEGXJNZqJR04Y98YI7BWR54iW3n5ZqSQ7NHIiq1cazRFERPj0tLOP9TLiOLfQ4Kx8B3kp7kGN1DJdJpYxmbxc17iViYH40kxyskbXCdVWEap73uKVhv/k7zXfZE3rHydsHaPBODlu7poTCmOIzwnFDOAfRPt37BWRu0VkWTKCjpmFQqI1S9cAtUqpq0TkAWAJEAbeAT6jlErcJlGjOQrMyCxkcU4Za1v3H+ul4HU4mO5zUOhZhSFhytIgbGdR3zeddGcfGa53MWRCrJYTQtDqYn/PKhZnf3hCLRUdoXYc4iDNmVx9DY1GMxilVB/wEPCQiGQBPwdeZWDzoFFyLFWpLwFbB2w/QFRTmgt4gE8ei0VpNAP58uwLmJGRXHDjRLIoRzE9841BrcmdRjtlaSvJcm88rpSJfhQ2TYFtEyrTYZhamdAcJ8gJneUxEBE5T0R+RbRteQpwUzJyjsmVi0gJcCXR2uEAKKWeUTGIWihG33hAozlCeB0uvjbnItKcYwvunGhsdeLdpGxl8Vrjz2lpv5Ow/wUmwuCY5hi6oZlGc/Q58V0eIlINfBl4HZirlLpJKfVoMrKOlcvjZ8A3gLhXDRFxArcQtWBoNMecLLeX/1h8LS7DJNXh5rnaLTy4dy1he/RWASdOPJKCAvzKT4Sx1d14qylMmnMBYdvEaUTIcr+HJNNb/SiT50pF7AaCPT8n1HcfDteZGM5ZGI4KDCMfMZLvN6LRaCaEeUqprokQdNQVChG5CmhSSq0VkfMTTPkV8JpS6vUhjv808GmAsrKyI7ZOjWYgRd5DWSPXT57PGXnlvNqwi4erh69XAZAhGXjxHMxASJNUOlUXfYzchGwgL9T2/7k6yXafQUW6UJa6G7fZMCY5R4vZ3izK5D369R5ldxAOPAuBZwEwHVW40j6P6Zx2DFep0STJydNt1Cci9wH9UeivA19SStUMc0xCjoWF4mzgGhG5gqivxicif1JKfURE7gDygM8MdbBS6h7gHoAlS5Yknd6i0YyHSd4MPjBlMdMz8nls33q2djSiEhTPduHCi2dQBoIgZJJBQAWwk7QytAVDtAVhbUsJU31TmZzWTW7K+qSvZ6KZmpIZVSaGwYrswt/xVVypt+BwL0eM7DHXkRiq9oRSioDtpzvcSVuomYZALaaYFKQUUZU2S2eEaCaAk6P0NvAH4M/A+2PbH4mNXTxWQUddoVBK3Q7cDhCzUHwtpkx8ErgUWK6UOv5tuRoNsDCnlIU5pezqauYHG56jKzy4f4ZHUhLWRlAoUnDThz9u31jZ2eVnZ5eDQs8yzi18+4gFaPocKRQ6PFSHuggN4+7JcXqZ7GgjYXOSOGxCvfcR6r2Px3rOQSQdp+HCUhYCZLpymJ4+F1MchOwAPZEuOkJttIWaaQu10Gt1U+Ipx2umEbKD+K0++qweuiOdWHZit1KJt4LTs8+jIk1bRjTjQ50chdTylFJ/GLB9r4h8ORlB41IoRGQa8GugQCk1R0TmAdcopb6fhLjfAPuAt2NvHI8ppe4cz/o0mqNFlS+Pr8y+kO+uf3aQpSKR1eLQvomlwCNHTJmY7PYx07kPUb2UeYtpU1l0W7Az0DFoXpbDw1LXbhhj4T2bdPyRHrqtwa7cOv9+tnS+O+yx+3p3jelcNX17qQ8c4J8qbyfF9IzpWI3mJKRVRD4C/CW2/UGgNRlB47XX/JaotSEMoJTaCHxgtAcrpVYopa6K/e5QSlUqpRbEPlqZ0JxQzM0u5tzCykFjfuUfUqkIkFw30KHoDkNrcD4doTnYE1QxMtvp4aI0xSzHFkT1AuBUtRSwiSpzE6enHcq6SDEcLPb4gbErNRtCM+m2jp5h0rIjbO/edNTOpzlZOfGzPIDbiKaJNgD1wI3ArckIGq/Lw6uUeucwH2ZybSM1mpOAy0tm82rDoTfmMBG6VTc+fIMUi3bVMaz1Ihn2dPvZ0+0EnJSmLmNWZidZ7mg/Ekul82r9POZmBfA6ukh17hyVzLZwH6Z76ODRTGqBNLKcXk531yF2b1Jrz3Uc/Rp2HaGkXsI0mhgnfuntWIHJHyqlrpkIeeNVKFpEpJKY9VZEbiSq4Wg0pyQl3iwchkHEPvS23UMvfhUgBTcKhZ/AhCoT9btr2L12K0F/iKKppVQtnsEBoN6fwuzMczBFsbEtSEQFealecJvZXFo8BUMipJhDVwE1BHyml1aVSR4dJHLSGKqXZWmTSFc7x+zmGEh10AkEkz5+rFSmzWRx9llH7Xyak5UTW6FQSlkiMllEXEqp0HjljVeh+DzRjIsZIlIL7CUaIarRnJJ4HE7+96wPsaZlHy/WbWNXVzMAFha9Y0wTHQ3b3trI9nc2YYWjD/Pu1k72b9rNhR+/ClxONrTFB30GLYsn92cDkO0uIdttMiuzFq9jz8E5y9NN+pSXTLWVXXURXtoZojDL5Nw5LgxjoEUyQroafzXMxd5muq0c9gePrKVikqeU5QXXUOAu0p1JNZooe4A3ReRJ4KCJUSn107EKGpdCoZTaA1wkIqmAoZTqHo88jeZkINPl4aKiGSyfNJ0tHQ3cs+MNano7Rj5wjIT8Qbat3IRtHbIM2JaFv9dP9YadTD1t1ogy+tNP6/ry+ecpUOGpwaH8OOwaHLbiM7/s4LE3/DjM6MM3O93g2e/lUJaf+NbR1GHzl9cD1LQqls10cOUS18Fjh0LhpT6SQ0P4yCkTTsPFvMylnJN7MQ7DecTOozmVOPFdHjF2xz4GCYpNjoWkFAoR+coQ40Bymo1Gc7IhIszOmsR/LrmeP+x8mxfrJravRVtDC4ZpDFIoAOyIRf3umlEpFP30RSLctSOLH89sJT9mqfjjS3088VaAQBgIR90dfSGLj/y4ndd+nBcnY+WOMNf9RxeWBYEw/PFVmFpo8twdGaSmDFYquplGGvvooIJnOjx0W0dGmchy5bI4+2xm+xbiNFxH5ByaU5kTX6FQSn0XQER80c3kDQPJfhvpsc8S4J+A4tjns8CiZBej0ZyMuE0Hn51xDp+adnbCmhSJCPoD9HX2EG1tM4Rcb0ri/QKedG8SKxUeaig/uHXPc730BQfLt23Yuj9MTctgJUYpxa2/6KE3EFUmAHoDsK3W4lfPDna72KTxUJuXBzvn8Gib+4hld1Slz+LDkz/L/IylWpnQTDz9lTJP8OZgIrJERN4DNgLvicgGEVmcjKykLBQDNJrXgEX9Go2IfAd4OhmZGs3JzmUls0h1uvjFlhXYQygKwb4Aq//+Gi0HGhERnCkuFl9+NgVTiuPmZuZn4/Wl0tPWNUixME2TykUzklqjINikYhCvTPRjGBK3b1eDTVtPvGIQCMODb4b4+vWHFByDPpwGdETGlhDW2xfhb0/V8N7mTpSCGdPSue7qEjIzEisLRSmlpJjJKFYazSnF74HP9be7EJFlRCtlzhuroPGqUgXAwMjQUGxMo9Ek4JyCKr46eznGEAGBbz78D5r3N2BbNlbEItDjZ+Xjr9DVEh+DISKcfeNyfHmZmA4Th8uJw+lgwSWnkz0pN6n1vddlElZRN+r1Z3pwJwg38HmFqknmoDGnCfYQxhTn4KlEJBvU2AIibVvxq3t2snFTB5alsG3F1u1d3P2bHYTDiS0cNf59YzqHRjM2+ktvn/B1KKyBvbOUUm+QZPmH8WZ53A+8IyKPx7avA+4bp0yN5qTmjPwKPhJYyv27Vg0a72hqo7u1A3XYk9mybHav3crCS8+Mk+X1pbL8Y1fR3dZFOBAkIz8b02HGzRsNBvC96TtwS7TZ2Geun8Fjb2+mrjWEP2jhdIDTFH77pazDMj2gPN+kPM9ge609KLnU64Lblg9u/e5QLdyS1cvKwELW9/SMKtti+85uurrCDMjGRSkIBG02bupg8cLsuGP29Gyjtm8fxd7Jo/4ONJoxcYK5N4bgVRH5X6KVMhVwM7BCRBYBKKVG7oAYY7xZHj8QkWeBc2JDtyqlhq+Tq9FouKZ0Lru6mgnZEZr83ezvbcff1YsYBnGVJpWip334OKn0bN+w+0dCgJlZ6ViSAoBNKk/6i/nI7flsXF3L7m0tZOZ4ufGiShZUhLGkDlN1DpLxwFd8XPbdTgIhCFsKQ+DCeU4+unwSigBCIFpim1z2h/NZ2xMiz11Me6huxPU1twSIJIi1CIVsGhqH7ofyRO2fuKroZianVo3tC9FoRuSkaQ42P/bzjsPGFxJVMC4craDx9vIoA1qAxweOKaWGrpaj0WgQEb4y+9Df6eqWffzZeJt3rFfj5hoOk7yywiOyDkOEBTkeHI52ItTwcpeL92cV4FTNzPY6WG0rFp89mcVnR9/yu4D7ml3AVLIcBgvThGmuGtyqlmlFJtt+mcVz74ZoaBdOm5rKggqDZ3pm0hq2WJIGb3Qp/LaiX2mqDzST4yogaHcQsYcubJWfl4LDNLAOUypcLoPCgqH7cfitXh4+8HvKUiuZ5VvAtPQ5uAz3kPM1mqOBiPweuApoUkrNiY1lAw8C5UA1cJNSql2iJryfA1cAfcDH+60GIvIx4Nsxsd9XSt0XG18M3At4gGeItiNP6JRUSl0wUdc1XpfH0xwqn+cBKoDtwOxxytVoTnoGmvqX5pWz9PxywpvquPeFZ+kLRvt8iCE43S6mLJp+RNZgK4XDCBEhWoCrOWzxSEcFacYUnMbw1TzbIzYvd8A2dynnpOeglEGWo4VzTkvjxc4M3g5bvNGssKOtfngxQSkOAZyGg97I8EX6plWl48tw0tYapF+nEIGUFJN5czJHvM79vbvZ37ublxr/zvT0uSzJXkauW4d7acZJ8i6Pe4G7iYYN9PMt4CWl1F0i8q3Y9jeBy4Gpsc/pRBtynh5TQO4gmm2pgLUi8qRSqj0251PAKqIKxWXAs8kudrSM1+Uxd+B2zOfyuXGtSKM5hbn7819hYeU0fv74Q3T09nLWwgVEZuZCypErxiTGYMtAUyhC0xiOrwtGeDAYzbQwpRBLHbJAMIo0WVuFGKn3qmEIn/vUVJ58emCWh4/rri7G6Rz9TT1sh9jUuZZNnWvJS5mEu7WYZ//xHg1tbVxz1jnceulVeFNSRi1PcyqTvMtDKfWaiJQfNnwtcH7s9/uAFUQVimuB+2MWhpUikikik2JzX1RKtQGIyIvAZSKyAvAppVbGxu8nGt94fCsUh6OUWicip0+kTM2xIxSpRakITrMYw5jQ/yqaIRARPnn51Xzy8qsPjm1oq+HO9UPfCzwOJ/5I8oWh2v2ZpHkmpgWPFe3qM6ZjWoKdZLkK6Is0DdvjJNXr4IPvL+eD7x/fGvt56uW1/O3hvxCJ2CgFr216l7v/9jBrfnkvqR7d1lwzCiY2KLNAKdX/h9jAoYzJYuDAgHk1HKr9NNR4TYLxOETEAM5QSr017tUz/hiKgRUzDaJFrUaOsNIct9h25KDyoJSFKTmEInW4naW698ExYn52CcsnTeel+u0A5LhTWV40nSnpuXhNF7OzJuGPhNnR1cjbTXtZ0bCTsD04sNNjOglYkbgH9tICISKj6zyaDEopAv4ILreJaSa++SoUbaE2slx5CILbcBC0e+iNdCacPxGEghZ/e2RwymkgGGJ3/QG+9Jfv8JNbvkmGMz5zRKMZJbkismbA9j1KqXtGe7BSSonIxLYjTnweW0R+STQAc9yM97VzYN3vCNGYikfHKVNzDOgNrqWz7wmC4X1kpl5FVupNBCO7cZq9NHT+Bzmpn8TlLCDFeWR8+ZrhubR4Jmtb93Na7mRunXombnPwn67H4WR+dgnzs0v4wJQlPF+7hVfqd9Ac6OHLsy7gjPwKOkJ+2oN9bOqoY1PHDtyOLiLUEZdVMkG8u6qG5x/bhr8vjOkwOOvCci68clpcymk/7aH2g78XeQqOqEJxYH9XwnWEwzYvrVzPb8/6L3Lc+cz0zWd+5ul4EhTI+semDXz9gXvZWldDUWY2/37DTXz8vOVHbM2a4w81tDWuRSm1ZIziGkVkklKqPubS6Pc81gKlA+aVxMZqOeQi6R9fERsvSTB/KF4SkfcBjw0VuDlaxqtQbFFKPTxwQETeDzw8xHzNcYpSAfqCawHo8j+PIVnYyo8pPrK878MfWofDHHX2kGaCqfTl8X/LRtfIN9Pl4eaKxdxUvohtnY1kuDw4DZO8lDTyUtKYlpHPeYWlPF77EI2B0SsTwUCE9avrqdnfRUFRGouWFuFNTRzbsW1jI0/+ZRPhUNQCYFkWb75UjW3DJdcOr5S6DBcROzDqdSWDx+OIq/fRjzc1eltsDTbxRvOLrG57g9m+hZSnTiXPXUi6M4MVWzZx7U9+iD8UDSatbmniC/f+lu6Any9eetURXbvm+GGoirdJ8iTwMeCu2M+/DRj/goj8lWhQZmdM6Xge+KGIZMXmXQLcrpRqE5EuETmDaFDmR4H/Gea8nwG+Algi4ifqs1RKqTHnoo9XobideOUh0ZjmOMayO7BVz8HtcKSe5q7/jm6IkJ5yETlp/4RSIYKRGtyOkiEkaY4nRISZmYnTTXPcOdwy+TYe2H8v9f6RvZSdHQF+/V+rCAYjhEM2TqfBiuf38Jl/WUpeQWrc/Jee2nFQmegnHLJ4+5VqLrxyKg7H0L7ndIeLznDLiGsaD5OK0/Blumlt9jPwmeB0GZx9bumguUHLz7r2t1jX/haGmBR7JvO9B9YcVCb66QsFueORv/K5iy/HNJIrLqY5cVCAPUIw8VCIyF+IWhdyRaSGaLbGXcBDIvIJYB9wU2z6M0RTRncRTRu9FSCmOHwPWB2bd2d/gCbR5Ih7iWZfPsswAZlKqXF1GB1Ist1GLyd6gcUi8osBu3wkWbJTMzK2CmHbvTjMrJEnj0AgtI2OvsdwmPn0Bt8hHKlJPFEpuv0v4nUtoLn71xiSRoHvdjzuqeNeg+bY4jbdvK/kZn6/9x76Ir3Dzn328e309oQOPnzDYZtIxOaJv27hU186LW5+R1tiC4OyFUF/GEf60LUguiNhfM4cusOto7+YAZyWnkKFqxu/crKq20FTJBKXRCIifPJzC7jn7nfp6Q4jAlZEcdFl5UybOXTshK0sDvTtYU99c8L9/lCI9t5ectPHV2hMc3KjlPrgELvifGYxN8Tnh5Dze6K9OA4fXwPMGc1aYnUuPgxUKKW+JyKlwCSl1DujOX4gyVoo6oA1wDXA2gHj3cC/JClTMwyW3cOB1i+S4pxBYeY3xyUrGN5Nbce/ouyhKwweTlPX/6BUADHdBK0tOK1CHOaEKbaaY0SGM5ObSz/MH/YOHy+2fUsLh1t3lYL9ezuwLDsu4LKgOJ3qnW0cjtNl4kkdvvNnyA7SHoqQ6SyMNkgTkz4rgNsQ+qxuwnaAM3xuprmaCSk3nbYXUxRZ0kmrnUGZsRqwQeAGH7Qxk4da48+Zk+vhW3ecyYF9XfT2hJlckTGkCyfu2CwXtQ3xSpNhKqpDm4kEyihwF+lA5pOcifV4HDN+BdhEK2J+D+gBfgnEvymMQLLdRjcAG0TkAaWUtkgcYcKROroDK8jzJVRSR41SEfqCa2js+vGYlInosdGbZ6r7dNJcF2CITqs7WSjyFFOZNpXdPUNne5imQZj40tdiSMKH5iXXTucPP181KIvC6TK56JqhgzIHYimL1lC8hUIwyHIVUGruwKuq8QKZA3SZ1ASelGy28oGcGfyjK5WW8ODblYhQVp4x4noO59IL8vjjwzWEI4eeKE6ncO6Zmaxo/js0Q667gLNyl1OVNgvj5Oj5oBnAeFwexxmnK6UWici7ALHqnMNr/UOQ1P9yEXko9uu7IrLx8E8yMjVD0+F/CodRQKp7CanusQYOR7HtCDVtX6W+407sMSoTAwlH6ujwP0JH3yMEw3tiRYk0JzoX5F+E14yPhehn4dKiuLgHwxRmzc1LqCCUTcnioutmIDHLhRiCOB0UlIz94T0QhU1bqI1V/iljOi6TbbiNiXuoz6hK4+ZrJ5GZ4UAAT4rBxefmcuGyQ11eW4KNPFn7Z+7e9T22dK5nnAH0muMQe4jPCUZYRExijkERySPJy0jW5fGl2E8dznyEsW0/HsdcXM6yccnpCjxDMDz+egP+0Hr8ofWU5Pw3ahQVDjUTg1KKjpCfLHd8+uJEUJBSyC3lt/LAvvvoicQ3Ilt8TgXVtWFaalvBshCBrGwP19w0K6G87q4g/3h2L8rhBEf0f0koAvffs55vfGcZKSnjiwePjOG/nS0ZNNmTqQ9NrPI7b1YG82ZlELEUpsGQ7o2QFeSZ+od4s+VFzsq9iJm++dpioTme+AXRflwFIvID4EYO9QcZE8m6PPqreX1OKTXIoS8iPyJaLlQzAbT3PYw/9B4lnh8ndbxSFu29D9PWc//Ik0eB2zkV08jEZU5FJGrujr552USVXM146Qj5cYhBmtNN0IrQFuxjktd3xJSJfnLdedxc9mH+sPe32CqaTuoP2jz6QhdNrRHMjEmkphVSnBnh9DkuKqqyhnyIblzXmPiNXCk2b2hi8elFSa/TEINLUlePPLF/vuohw+jiAl8Oa3oUnZZFntNBWyQSq+w5Phzm6OIkOsPtPFv/MNu73+Oqopt1k7ITHjXRaaPHBKXUAyKylkMBodcppbYmI2u8aaMXE688XJ5gTJMkGZ6rCUX2E7HaR5XdYasQvYE36fQ/hWV3YNnd2HbPiMeNBhEnSlkoFaal+3/wuBbjcS3AH1qPxzV7QrJPNNE6Ev08V7uFq0vnDjN7YilMmcTirCWsblsFwFMrumloiWDbEIk9fRu6HPQq77ABh329YSIJzAiWpfD3ja1MuCAHK3xWenzM8TSRIsO3cz/srHhUNVMd1UzNNGhhFrlsQOHl0a6ZcXEVR5o9Pdt4qu6vnJFzIUWe0pEP0ByXnEQxFABeoN/tkXSAXLJpo/9ENM91ymExE+nAm8kuRhOPw8xCqSB17bczKfPfcZiTiP6bHwqGa+7sYGvNfsrysnE5f0tfcPRvb2NBqTChyB4A/EBfaAP5vi/jNEtRhFFK6aj2Ceay4lkYR/k7nZuxgNVtq/AHbfbXhbEP86aGI7Bmk5+504ZuolU1PZu3XztAKDS4cJZhCJXTRl/SWgHnZLiY7txOh51DgbERh4zHdWGTyyYAhD5OS7N5tn2EQ44Ae3q2s7d3J6dnn8eS7GWkmDrI+YRDnRxZHiLy7/+fvfuOk6suFz/+ec6ZurO9ZLPplQAJIYHQa+gCUkUQLsJPEUW42K4KdlG8Koiighe9IqBI0QuIiAJSBaSGEEqAhBTSk+116nl+f8wk2c3OJltmd3Y3z5vXvLL7nXO+8xySnX3me77f5wucQ7rKtQC/E5E/qer3+9pXf0co/ki6UMZ/k95idauWToU1TA60xxZtq2C5uvYSfG41rlMMCIXBE7n6jhe57YkXCPocYskEh+4p3HipSzgw+L+EkqmN1LbcTGXR5wi5kwf99XZHO5bYHgoRX4TyQAVl/sk4zmOkslSUjMZ3/k46ZXop0/Yo4/33Gkhkkgp/wGHOvmOoGd/75cZFbogx7hYiUkvEzX2xq0nO28wMz2VZx9BPLlb1eKHuSd5qfo1jxpzK9MI9bW6FyYcLgH01s5RPRH4ILAaGJqFQ1SagCfhYJoAxQAgoFJFCVf2gP/2arjyNs6n5J13akqlNJFObALjlH0u540mPWAJiifSb9vNLle/8McWPLh6aX0SlkXMoCO41JK9ldi3upaiLtlIdLu73yEbSSzKzaBZHVx7LN8MvsLmlucvzPsdh7tSd397q6EhSUBhEHQfxQVGRn+NOmsr8A2r6FEtrKsqS6HgmRN7t83X0hhDjmIIlTAvO4ZHGBDvulLplUxvPP72G2s3tzJhVzoGHjycczu1W8i2JRv6y7g+E3AKmF+7JpILpTCyYSrG/NKevY3JvlNzyWE/69/fWwipBdr73R48Gutvoh4EbgHGkNzKZDCwFZg+kX5PWEV9CKtXzeOxtj3vs+MEqloSHXlauuUAJ+gd/lGJL8004EqQwdPigv5bZtYDjUlPQ+6WZsVSMZ7Y8SXVoLFMi0+hItQNwXPWJAPzyoxdw0R2/JZ5MklKPoM9HcSjMb878AmtSb1Mfr2dxw6tddjFNpTx+/YtFNNRHSWXmXbS2JXn6iTXsu/9Y3F5OYtwq2sOeG511xJQf/rmNO5+KkhySiFcAACAASURBVEgppx0Y5FsfK6SqZNef+IUYU91XObdiLx5pKqAxmZ5TEfygmRuvf4VUyiOZUla+18Czj3/AlV87iKLi3E+ojKbaeatpEW81LQLSdSzmlh7IvNKDto1cPP/2m3zt9l/z5upVzKgZxzUXfpIT9utz/SGTA0rO9/LIlybgLRF5jPRlHQ+8tLUKtqpe2duOBvox9vvAwcA/VXW+iCwEereDkdklT9sRJ9xjEarm9p7Og1gCgrn9IJWVapT2+GJLKEao+ngdrzS8hN/xc1D5IRxRdXSX50/cew6Pf+6/uOnpJ1hZV8uRM/bg0sOOoqKwkPEcBqTLUb/e+Nq2c95bWk9zc3xbMgHgpZSWljjvvl3H3vtU9SnGukScFcl5TPMtzvq8qnLmDxp5dVmCaGa+551PRXliSZxXflpBONi7BKaMpXy0pJjH2maxb7iDo7/+MrFO+5HE4h5eKsaiR1dz1Ef26NM19EdtbBNPbPorSxpfYn7ZIdR/4OOUb19FRywGQF1zE2d+7+vc8aWvc/bhRw16PKa7EVhzIpv7M4+tnupvRwNNKBKqWicijog4qvqkiPxsgH2ajKLQkficMtY1XJV19s9BewiPL9FuT40rh6IhnOPV3P4wAd8kSgtOG7oXNTlREx7Hl2d9DVfcHifUzq4Zz83nXdit3VOPJzf/k3eau64w27Sxbdu8ic7isRQbN7T1OaFoT8X4a4OPmQXHMDe0gfHOUjqH+vKyJIvfT25LJgASKahr8bjv31EuOLr3PwwOzZwYeZk1W1LUtXT/dZFIwauvbRiShGKr2tgmHtv4AL+8+c1tycRW7bEYX/rfmzjrsCNtQrTpF1W9PVd9DXQGUKOIFALPAHeKyI3AzncZMr3mee20Rv/V41Tir5ztUhgCX6b8gyMQDsD3Luj5l8NgccX29RipfI6vT/9eEl6CTdGN3L/uT7xQ9xxJ3f6bvMhXzMIZhxAKdB8eCwRdKqr6n+kub2+h2Stix1CXrExkHXpui8Iry/q2RHWrgpB0W92y/bkhGPrLYt365qzta7ZsIZawirVDTVG8Hh67q4GOUJxOeiLHF0jPFC0BrhloUCatvu1eRPyEAnsRTSzDdYq6zKmYWi387Vs+/vexFItXKNOqhUtOdJk1fug/qUQTSykKLxzy1zVD74W653i+9l/sWbw3F075BGNDNWzoWEdSk0wIT0KmOvzq7sfYkKgjlfmt7DoOpQWFzJlb3e/XLfWHGe9bhqfp5HmrKdUuriPsWLU1HICZ4/pXbK2iyOHQvfw893aCRKfBloIgXPyhCX3qK5n0ePuNLTTURZkwqZhpM0v7lfAXFweor491ay8Mhwn6+7X1ghmg0TGFIncGlFCoaufRiJwNm5i0wtCR+N1qmjv+QXXxf+FIMatqz0c7fSKsKRe+ee7QLy3cUVP7QzhSQEXRxfkOxeSYpx7LW9+jPFBBZbCK8eGJfH6PrxBwAqQ0hc/xMTkydfsJLvz7hpu59OfX89iiVwA4bv7+/PrKL7PBXcFjG//erzgaEu38rnY8+xbuycLwk9vaF+4ToKpEiMaVZGZUQYCAX/jYUf0fEbn1cyWc9r0GVm7ycATiSeUjh4U4fuE0/tXSu2JY9bUd3PSTl4lFUySTHq7PoWZ8IZ++cj/8gb4lO8ceP5G/3L+CeKd5HX6/w5VnnGG3O/JktI1GiIgDFKpq9uGwXehvYasWsm/iIKS3by/uT7+mq5A/vQFSWeTsbW2R4EG0Rp/NV0g71dTxED53PCUFx+c7FJNDKU0RdIKE3XTp72mF07c955PsbyETKsfw8DU/JplK/+L1ZeppTNAq3mx6nQ0d6/sViwBvtrVxeDCA30kP87uu8Oj3yrjs5maefiOBAnOn+Pify4spK+z/Xd2qEofnryvntRVJ1tZ6zJ/mY2KVSxNtQIAdl5h25ncClAUq+Z/b/0ZLc3zbJ9lUKsW6D1r45z9W8qHTZvQpngMOHEM0muSxR9aQSikicMSR4xhz4GY2RzcwJtS3JbnGAIjIH4HPACngZaBYRG5U1T7v99DfOhR2wzxPKoo+hYiflo4nd33wEPO8dsQK84w6fsffdQSiD3w7FOYSERZWHccfPxjY3jItVFLO9qRkbJnL/V8voz2mpDylKJybf4ciwn7T/ey3PYeiUDbjdyaRyLKcdXJkBgeWH8nEgmk0tbZyyeo/dhsWTyY9Xn1hQ58TChHhyKPGc9jh42hrS1BQ4MPnc4h57fx+9U3sHToQt6mCvcbOYOKY/t9aMr0zipaN7q2qzSJyAemClVcBrwJDk1CY/PG7VVQU/j9aos+Adp9JnwuxhPLUohh1zR4H7BVg5oTe/TPx+yZSFLLla2bnphZOZ7+yBSxqeKVf53vq8fu6cVxQ7qPS7VpDryAo7GzkIBdcbeCC8ggxLeCe+hCeQtANc8LYM9mjcPa22w+e5/UYyUB+EbmuUFy8fc6EqvK3B5dz1dNP4/M5pFJwzLz9+L9v/IBIyEp6D6ZRsmzULyJ+4Azgl6qaEJF+/QO1j5MjkM+tJOzPvm30QL37QYIjLtvCV29u5r/vaOGsq+v48k1NeL0oLjS25KtID0PgxnR2XPWJFPt7X4Arm3saanim42g8Her5A0pI11DCu5xSJpT6izl/0meYVTSny1yGipJSZk+Z1m1+g+sT5u8/NmfRvPTCRp7713qSSSUaTZFIpHj8tVf5j598K2evYbLQdGKY7THC3AKsAiLAMyIyGejXHApLKEYg1RSx5KpB6Ff5zI8baWhR2qJKNA7RODzyYoy/Phft8TzXKaW88OMEM3M+jNkVvxNgz6KBJcVJTfFaayu/azyM1an8FOcdL69z8YTjqQhmr63xh69dQ1lhEQWh9EZqBaEg1WOKOO6U3P2sPP3EWhLxrp+Vk0mPh55/gUWbB2ejQDN6qOrPVXW8qp6saauBfi3Zs4+TI1DSqyXk34OO+Buo5m79+bI1Keqauw/idcSUu/7ZwelHdB8+9fvGM67sB/jdvhUrMruvlKZ4qf4F3mp+Iyf9tSajbEqWM7l/K0QHJBi5BF9w/x6f33vKNFb+8QHufvIx3l+/joP2nM0phxxGU6qOl+v/xcboOhoTdaj2f/C8ra3nWhsPrv4TDbqRhWNOsY3HckyhS8n5kUpEqoEfAONU9UMisjdwCPDbvvZlCcUI5HerGVf2PRKpTaypuxLPa8lJv4mkZjaU6v5DEk90b3OcCDWl37FkwvRJ0kvyxKat2wbkxr+bOwiXHMQ0//tEJPe7kmYTKPgo/oIzdnlccaSQS089s0vbGH8Np4z7KACbout5q2kRazpWEnLCBJwgBb4IDg7tqTbq41toS7YQTWUvwT9jZilvvF7bbfJnpNBPpNDltYZ/E/OiHFX1ISK+wv5drMlqlMyhuA34HfD1zPfvAfdgCcXuxe9WUxw+nsa2+3LS355TfAT86QqDnYUCcPrhoW7HVxV9loBvfE5e2+wePPV4u/lNcplMbPVEU4p/OTP4dHkjrvSuTkR/Oe4U/AUfy0lf1aFxVIfG7fK45kQjm2Mb+MeGP3dJLj704am8904DiYS3bTmpz+dw9kdnbpu/8XbTa7QkmvjoxE9azYqcGZHzJbKpVNV7ReRqAFVNiki/ZvzbGNgIpqo5rUnhOsINV5YQDkIgk2oWhIQ9J/s577iCbsf7fX2rGGgMQEeqnVlFe+EOwgTeyaECHAY3mQAIRC5CZGirUxb7S5lRuBfHV3cdFamsDPOlq/bn4ENrGDehkH3mVfLZz+3LXrMruhy3pn0Fy1u77rtiDNAmIhVksnwROZj0DqR9ZiMUI5hqlKRXl9M+D58b5NGfVXL/0x1sqvc4bG6AhfsF8WXZcjqZ2gL+mTl9fTO6OeJwaOURAGyObuLWlb8mpQNPAIKOnxNK2pjqPtFtr49c8wUOxQ0sGNwX2Yma8EREnC7zLkrLQpzxkV3XtdgS28DMAU6GNWnKqLnl8UXgQWC6iDwHVAEf6U9HllCMYEpsUGpRjC13uezMXd9rrW35DZHgwVbMyvTLmFA1n51xJa3JFsoCFfxry1O8XP9Cv/o6oMhlmm9JTuJSpcekxHEqCRZ9Lq//5ov9pZw94SIeWn93j/MqevJi3dPMKNzbqmrmyGi45aGqi0TkKGAW6SIu72rn/R36IG8/FSLiishrIvJQ5vupIvKiiCwXkXtkqMcTRyDXKaWk4NS8vX4ytYnNzT9FB6nAlhn9iv0ljAtPIOyGOb76JM4Y/xEqgpV978fJ3SbHcd9Umimh1amhw5lCq1NDi1SioVMIl/0ScfI/sXFKZCYXT/kcIbf7rcidSWmSRzfeP0hR7X60h/9GEhE5Bwir6luki1vdIyL79aevfH60/BzQ+Ybej4CfquoMoAH4ZF6iGmGC/r6V7821lo7HWV17CSnPdq03AyMizC7Zh49P/iT7lvb8flYaKGd64UzGhycSdELMjhQxw30tZ3GkNEnSqyeeXEtH8n3iybX4fJMoLPwM4gyfXQcKfIWUBsr7dI6Iw+FVJwxSRGaE+qaqtojI4cCxpFd3/Ko/HeXlloeITABOAa4FvijpacfHAOdnDrkd+A79vKjRLpmqpS32MtHEu7RG03t6tLR7bG7wGF/pEgoO7SzukH8WrhMZ0tc0o1eBr4ATx57MstZ3aU9uT1Rd8XFgxcEsrDquy+qFYPyvOSu2rQSJJj/o1h70zxlWt/biXoyWRBMpr2/zT/Ys2ocpkfx+CBkt0nt55DuKnNg6xHwK8BtV/ZuIfL8/HeVrDsXPgK8AW9P9CqBRddvsrLWArUfcged14DhhfG4lqlFaOh4lkVSu+W0z9z3djs8VVOHTZ0T47NmFQ7Y8rLTTbqjG5IKnHpfP+DxvNi1hceOrNCeaOWvCR5lUMLnLcXuXzCeVCBBteh3V9HpnzxmDqoOjjXhOCW6qDnWC4LWzqy0KVAqA9m7t8cR7Obu2XAg4QUr85YwNT2BLbGOvztm//DAWjjllkCPbvYyS7cvXicgtwPHAj0QkSD/vXgx5QiEipwKbVfVVETm6H+dfClwKMGnSpBxHN7x1vjfXFnsRgJ/dXcwDz2winthefOqWB1oZU+ZwzrGDP2rg900k4FrJbZNbQTcIwH5lC9ivbAGq2mOC7PpnEyr5b6KNXyXu1tCSWAV4iITQ5HpEgvgpIiIpoOcS8qpKC9nnA0Xji0l5jbhO6QCvLHdccUn1cv5SyA1zROWJgxzR7kWB1CiYlAl8FDgJuF5VG0WkBvhyfzrKxxjeYcBpIrIKuJv0rY4bgVLZvrPUBGBdtpNV9dequkBVF1RV7V4VGl1n+wQsRwpIevD7f6wkGu/6j7ojBv/zwNDMaUimttCRyN39a2Oy2dVom+vfA7fgbNqSm9i6mG/riIVqDI8Y0nl5qqbrdCed8cTcqSTcqSR9U0l5DVn7LwgdjSMD28ws10SE46pPY2LBrhP68eEp+Bxb1Ge6U9V2Vb0PaBKRSYAfeKc/fQ15QqGqV6vqBFWdApwHPKGqFwBPsn3t60XAX4Y6tpGkMHQ4AfdkksnsK6HrmoZmhXTIvweRYP7W5BuzVbDgfIKB7DUWkqlaWpxyou4UWqWaRny0OeNoTdXSllhOS2I5HT2UsC+JXEBZ0eXDssJkwAlyzsRPcFjlcQTdnrcqD7rdK92aAVIlpV7Wx0giIqeJyDJgJfB05s+/96ev4TPLCL5KeoLmctJzKvpcR3x3UhQ+hkmVH6e6PPsSu7nT/UMSRyK1nn4uWTYmp0Qcgv65PT6fSG2gPfE+8dR6PG0nllyDp9vnSyRTm7udU1RwJiWFFw6rCZk7csThkMpjuGjKf7J3yXwc6b5LWriPy0vNrqUnZY6K7cu/BxwMvKeqU4HjgH4VhMnrT4mqPqWqp2a+XqGqB6rqDFU9R1Vj+YxtJPC5xfzi81+lILj904cjEA4KX72weEhiCAf2Q2RokhdjdiWRXJWzvoKBfSgtvCRn/Q22Yn8pJ9ecw2UzrubiqZ/jlHEfpSI4BoDKQHWeoxudUp6X9bErIjJLRBZ3ejSLyOdF5Dsisq5T+8mdzrk6U6fpXRE5sVP7SZm25SJyVT8uI6GqdYAjIo6qPgn0a9jZbqqNYKpJzjhyIX+77md843+/xKoNUeZM8/Of5xQya/LQ/JIP9zDEbEw+RMLH0RZ9PDd9hY5BsnzaH+7CbgFht4DKYDUzC2ezpn0lkyI2cXo4UdV3gXmQLvJIes7g/cD/I12P6frOx2e2FD8PmA2MA/4pIntknr6J9AqNtcDLIvKgqr7dh3AaRaQQeAa4U0Q2A/2ahGcJxQjW2P4AAd9E5s+q47ZvFgNDMyrRWbZhYmPyJeifgyMRPB34pORYYimR0AkjMqnYyuf4mVq4x64PNH2maK5WeRwLvK+qq3cyT+d04O7MyP3KzNSAAzPPLVfVFQAicnfm2L4kFKcDHcAXgAuAEuCaPl8Fw2sOhekjnzuGTU03kPRqCeZpky5nGFUONEbEj88dm5O+2joepaXD5oab7FTTy0azPfroPOCuTt9fISJLRORWESnLtI0H1nQ6Zmutpp7ad0lEZojIYarapqqeqiZV9XZgEdCv9dGWUIxkmsLzWmhovZtYYtmQv7xIgEjwkCF/XWN2JhLOXb0FsUFcsxOeelkfQKWIvNLpcWm28zN7Vp0G/CnT9CtgOunbIRuAnwxi+D8DmrO0N2We6zP7aRnB8r1/muuU4XfH5DUGY3ZUGD6FprY/4HnZ3iv7pqHlV8QT71BYcDp+3yTQdMEsT1txpGhYr/4weVWrqr2Z2PghYJGqbgLY+ieAiPwGeCjz7TpgYqfzOtdq6ql9V6pV9Y0dG1X1DRGZ0ss+urCEYgSLBA/BcYrwelg/P9iSqU14GsexjWHNMCLiUhg+mea2u3PQm9IWfYK26BOd2tJJRDi4gPLiLw6r6plm6OSoUubH6HS7Q0RqVHVD5tszgTczXz8I/FFEbiA9KXMm8BLp7cZnishU0onEeWzfE2tXdvYPt+eiJjth6fUIFk+uylsyAeA6JTYkbIalSOg4Bu/tzQM8OmIv0dD8Czyv+94fZncwsMJWIhIhvTrjvk7NPxaRN0RkCbCQ9ERJMluL30t6suU/gMtVNZXZ/+oK4BHSu3ffmzm2N14RkU9liesS4NVe9tGF/TYYoVRT1Lb8b15jKI2cbUO+Zljy+yZQU/EbGlpuJhrv13tjr7THniNW/y5F4dOIhD+Ea5OUdxsDHaFQ1TbSRRw7t124k+OvJb1D947tDwMP9yOEzwP3i8gFbE8gFgAB0qMjfWYJxQikmmJz8410xBfnNY5katOuDzImT/y+8VSWfJ2N9ZcN6r/VVKqWxtZbaW7/E+HgIQR8UykMnzEsS3Ubs1VmvsahIrIQmJNp/puqPrGT03bKEooRyNN24snV+Q4Dz0pum2HOcQqoLruBjfVX9LjxV654XgttHY/SBrhOBQWhIwf19UyeKb2qijncZSpjPpmLvmy8egRypJCQP78VKsUJU1l0cV5jMKY3XLeCooKzurSpKo+8kuC8a9v40NdaufH+KM3tuduDobbpB9Q2XUtH7GWbYzFKKdn38RiBe3nkjI1QjECxxLs0tee34E5RaKHNbjcjRiR8Ak1td2zbyO76P8e49R9x2jM7Br2/Ic59zyZ4+NpCIqHc3Kpoj/6LeGIFYyt+mZP+zPCTo0qZo4aNUIxAQf9MinJQvGfF+iTf+V0LF/93Ezff305ja++H70L+vQb8+sYMFdcpIRw8DIDaJo/fPLw9mQCIJWBTg3Lv0/Gcvm5Rwak40q8VeMaMOJZQjEAiLmOKryTgm8zqjUn+8q8O/v1mHM/rfbb8/Jtxzvh6I3c/HuO5NxLc/EA7H/pyA5saUr06v6n9IRKpLf29BGOGXCiwHwCL308RyDI22xGHJxYnc/qa4eChOe3PDB/pVR79XzY6GtktjxGqqf0xvvjLN3no2XZcVxCgtEi489vljK/a+WZGqsrVt7TRscMntFSr8ov/a+f7l+x86ZvjFDCu7Nt2y8OMKAF/epOsyhKHbHPpXAdqynP5GcvBdcpz2J8ZTrbu5WG2sxGKEaih7QF+9Zcf8PDz7cQS0B5V2qLKhlqPK25o3OX5mxo86pq7j0QkU/DUay4B/1Qcp6DH88P+uZZMmBHHkUIA9p3mMKZMcHd49wv44KITclf11fNSrNl8C6lU70b9zEgzsMJWo5ElFCNEMlVPe+w1Ul6M4vBC/viYdhlhAPAUlq1JsqF2529gBUGhp8S6tLCKSRU3MaXy95RFzkUk1O0YxbJyM/K4TgkAIsKdV0WYNdEhFIDCEBSF4bpLQ8yenJutyn//SAf7faqO6R/7HVWnH8tP770TtU+zZpSzWx4jQFvsJTY2XovrlDGl6jYgSDxeBrR2O9Z1hPbYzt+4iiMOh84J8dybCRLJ7clHQTDElWedC4DjhKkouoii8NGsb/gWyU7zJXxOKSkviut0TzaMGa5E/IiEUe1gfKXD368tZOXGFC3tsOckh4AvN6s77n2ig2v/0Lot4W9oaeGbv72ZgN/H5Weem5PXMPmnsFsvEc3GRihGgEjwwMxGYBEAoon3OOuoAwj6u+eDkbAwtWbXn7J+/rl57Dt9DyKhEMWRCEF/gP847iQ+8+Gu6/UDvslMrryNiRW/ZOqYu6kq/k+qiq/AkWBuLs6YIRQK7Nvl+6ljXeZOc3OWTAD89E/t3UYP26JRvnd7fkvlm9xLqWZ97K5shGKEqC75CpBC1WN9wzf56HFN3PtkgI11Qnssgd8Fnw+uu7wYx9n1m2NBeB3P/eIGlq6O8cGmTcyfuQcTqqqzHisiBP3TAIgEj0AkN8PCxgy1guCRdMReGNTX2NSQ/R76poZ6PM/Dcexz3GigqqOiUmYuWUIxQqQ34Uq/EQX9MygqeI2//ngsz7/+ER5ftJhxlR6nHr6YiWN698tevQ7a46+z7/TT2Hf6Hr2Ow+cW9id8Y4aFUHA+6Z+j3v0iSKaU595IUNesLNjTx6Re/HxNGevy/vru85imjK2xZMKMapZQjEAVhf+PtfHFlBftxyWnnsslp55LPLmaD2ov63UfrlNKcej4QYzSmOHHdcqoKPkKdU0/3OWx769Pcd53m2iPKarpVVDnLgxyzSciO9346+sXRvjsT5uJdqqRFQ4Gue6yz+fiEswwMdDdRkcjS5dHoJB/BmWR8ygOn7Ctze9OpKTgVJBd54ihwF5MKP951hUcxox2kdDRuyw4pap84kfNbGlUWjugLZqu1fLnp2M8/MLOq2keu3+QW/6rhL2nuBQEYe8p5dzz7R/ykaOPy+VlmGHAUy/rY3dlIxQjVEXhhahuH1YVcagsuoyOxNvEEysoCB6I3x1DS/RxPK9j23HlhR+nLHKOzYMwu7Wq0m/REXuF+ubrSXnda7csW5tiU4PXbYF0ewzueDTKKYekJyU7ThFB/xwC/ln43Qk4ToT65p9xwgHFLJy/mlBgfypKvopjyfuoYyMU3VlCMYLtmBR42kpBYB4VhRcTCS4A0pt4tUSfIZp4i/LC/yASPDAfoRoz7ISDC/D5JpKKd08oOmJ0K3y1VXtUKQgeRmHBqQT9c7v9HNZU/BYRH8nUZlynMjP/yZjRzxKKEUrV6/ZG5TpFlEfOh05vcKHAXoQCtpGXMdlID2+Be09xcR2BHcYoQgGHC44/n8rSK3vuM3Pb0eeOyVmcZjjavZeIZmOp8wjV06cexymwGhFmxPI0xfr2twalb1Xl7VUreOP9ZXieh6qSSK3LeqzfJ9xweSGhAPgz+XkkFGSvyTO54sxLByU+M7Kk9/Kw0tud2QiFMWbYqIutojG+nnEFs3Pa7+Jl73LWN/+LzQ31iAjFkUL+8PWLmD5+c4/nHLd/gEeuK+WeJ0M0te7DyQcfyUeOOpaA35/T2MzIZSMUXVlCYYwZNqpC06kKTc9pn20dHSz8/KdpbG3Z1tba0cGHr76B524qo6yo54HaKWMDXH/ZNwgHD8ppTMaMRnbLw5gRJqUJXqq9i6S38+WLBlJeC3c88l8kki1ZnvN44NlYlrO2C/hnEArMH6zwzAimKJ7nZX3srmyEwpgRxhU/B1Z+LN9h5FRKE7iSm1sJqkpb9BHaOh4hlniHdbVtxBPdj4vGYXPDznfmjSfeJZZ4y5IK051ipbd3YAmFMSZvPE2xKfoeY0OzctZnIrmc+uafbfv+gD39+HyQ2CF3KAjBQXsHdh2j131XX2MUSyh2ZLc8jDE5sSX6PinNMhQANMbX0RBbi+4wA94Rl5rwXjmt1eD3zaCy5Fs4TjEA82b4OHyfAOFOi5/CAdhnqo8j5+56VCSWeDtnsRkzmtkIhTGmT9qTDURTrZQHJ3Zp70g105qooyQwtku7qvJ20z/5oO01PjLpR/gGeVmziFAQOhS/bzy1TT8gkVzN/3ypmHufjHLX41FSHpxzVJDzjw/3amfeVGrLoMZrRibFdhvdkSUUxpg+CTgRXOl+q2BSJPs8AxHh0KqLOKDiXFSV1+rvpzq0R86Xhu7I75uM61SQYDU+Vzj/uDDnHxfucz+e2i0Pk4VCKmUJRWeWUBhj+sTnBPCx67kHO/I7IRrjG1ja9AQgg55QeF4bscQbA+4nkVydg2jMaGMjFN1ZQmGMGTKlgRpOm/BtmhKbBv21Wjv+hvYwp6MvxInkIBpjRj9LKIwxQ8rnBHi76VEivnJKAzWD8hqxxDs0tt464H5cp5TK4qtyEJEZdWzZaDe2ysMYM6RCbjF7Fi+kNTk4kx09r53GllsG3I/fN5nq8p8T8M/IQVRmtNm6bDTbY3dlIxTGmCE3MTKv3+e+v34dqzdvZJ8p06kqLe32fCzxBrHE0n727hAM7ENB8BAi4Q/ZRnumR6o2h2JHllAYY0aE5rY2zvje1Tz/9pv4/S7JhMdnTjmDGy69ApH08k/Pt/RHpwAAIABJREFUa6ep7a4+9+06pZQVXU4wMBfXKcl16MbsFiyhMGYUaO1oZ23tFiZUVlEYLsh3OAPSFN+IzwkQ8ZVva1P1OO/6q3j2rSUkkkoskQTglr//hT0nVPIfx1SR9LbQ2v4XUl5jn17PdUoZU/Yj/L7JOb0OM/rZCEVXllAYM4IlkjG+8Nuf8NuHH8fv+kimUlz+4bP40Sc+g+OMzClSbck6fE6QlCZpiH1AbWwV79a9zGOvLCGZzGwX7XmQTNARi/LZn/6Ut1eG+NxZYXzurgtVdeY4RVSWXmPJhOmzgS4bFZFVQAuQApKqukBEyoF7gCnAKuCjqtog6SG4G4GTgXbgYlVdlOnnIuAbmW6/r6q39zuoAbKEwphhYEXLixT5q6gKTevxmJQmWVR/H6op9ig+ivZkI1f/4Xrufvh94nElSnqJ5M0PPUB5YRFXn3fhUIXfI1Xddjsi4UWpi61ifftbzC37MD6ney2L9mQDi+rvpymxoUt7Q3uCbamC50Fi+06rnge/eSjKxnqP6z5d2OvYHKeQMaU/JODP7XbpxvTBQlWt7fT9VcDjqvpDEbkq8/1XgQ8BMzOPg4BfAQdlEpBvAwtIzxN9VUQeVNWGobyIrSyhMGYIpFIpHn7hOZ5Y9BLjKqu48IRTGFtRue351mQtS5v/yQk1X8LvhLL2sar1ZZY1P4OiLGt5FoD7H1tJPK5djmuPRfnJfffkPaGIpdp4ZtMt+Jwg7alGmuIbUdKf6DZFl1ERnIzPCTG/7AwSXgcr217m7cZHaU91v2VRWuyjqNClvjEJqWS35zvi8Jfn4nz1PI/Kkl2PzLhOBVWl37FkwvTf4CwbPR04OvP17cBTpBOK04E7VFWBF0SkVERqMsc+pqr1ACLyGHAS0PeJRDkw5AmFiISAZ4Bg5vX/rKrfFpFjgetIL2VtJT2ks3yo4zMm16KxGMd+4TMsWbGc1o52QoEA373t1/ztRz9n7z1L2RRdxsrWF2lN1lEXW8XY8J5Z+/GJH6Vr8tDaln377frWZl7cchezS0+g0F+R82valY5kE09uupmG+Nqsz9fH11AfXwPAB62vktAoca+jx/5EhE9eMIEbf726WwK1VcAnrN6U6lVCURA6nIB/Zi+uxJjscrDbqAKPiogCt6jqr4FqVd06PLcRqM58PR5Y0+nctZm2ntrzIh83WWPAMaq6LzAPOElEDiY9hHOBqs4D/sj2e0LGjGi3PPh/vLb8XVo72gGIxuO0RaOc/e0v8uym23i94a+0JusA+PeW39MQX9flfFVlY8c7rGh9sVvfE8dlH82YMC7I8tZnaU5szPHV9Kw92cDm6HIW1z/IX9d+t8dkYkdtqYadJhNb7Tu7iN9++yymjZuQ9fl4Uplc7fbqNQM+SybMwKgqqVT2B1ApIq90elyapYvDVXU/0rczLheRI3foX4Hs2fMwNeQjFJn/SVt32/FnHlv/xxVn2kuA9UMdmzG55GkKR1zuePRvdMRi3Z5v62hn6ao1TJ60vbRze6qRv6/7IXuWLGRceA6N8bWsanuFulj2/SQuPKeG625aRTyx/X0n4BcuPGccAP+u/T1zS09lWtFBuNLzVt0JL8oHba+R8KJ0pJqYWXQEYV8JzfGNFPjKCLrbY0xpAlVlbfsStsRWEHDCNMbXs779LTyyj5jkwvTCQzhgynns//3TOOCyi2iLRrc9FwrAqQcHejU6ARAMDO4+Ima3V6uqC3Z2gKquy/y5WUTuBw4ENolIjapuyNzS2Jw5fB3QeXvfCZm2dWy/RbK1/amcXEE/5GUOhYi4wKvADOAmVX1RRC4BHhaRDqAZOLiHcy8FLgWYNGnSEEVsTHexVBvNiU09TqTc0L6UiL8Cvy/7j5kqWVclKB5Lmx5nadPju4xhrz0K+cYXp3Hf3zazdn2UCeNCnHnyGKZPSS8djaZaeKnuLt5qeoTphYdSEZzM2PAsBAePJI3x9axufYX3W18g7rVv6/ftpse6vE7QKcTvhAi6EVoSm0l40W63XwbThIJ9OKDyXFzxsdfkqTz+k5u54ufX8ep771AYho8fH+QLH+ndTqIFoaPwuYNT8tvsXvp7y0NEIoCjqi2Zr08ArgEeBC4Cfpj58y+ZUx4ErhCRu0lPymzKJB2PAD8QkbLMcScAV/f3egYqLwmFqqaAeSJSCtwvInOALwAnZ5KLLwM3AJdkOffXwK8BFixYMKKGg8zoEnDCrGx9kWJ/dZdP8ADxVDtlwQkU+Er59IfP5o0Vy2nv9IkaoLjEz7hxfd9Oe0fTJhfwX5+dstNj2pL1LGl8CICIrxyfBGhN1pHq5eZZMa+VmNdKa7J21wfnWE14Tw4fcwmubH+7OmivObz8q9tRVVra76Op7Q+o7vq2ietWUlr4qcEM1+wmdGCTMqtJ/+6D9O/hP6rqP0TkZeBeEfkksBr4aOb4h0kvGV1Oetno/0vHoPUi8j3g5cxx12ydoJkPeV3loaqNIvIk6XtI+6rq1pvE9wD/yF9kxuyaiMOBlR/L+tzK1pfoSDXhc4J8/MRTeOSl53nw+adIeklcV/D5HL545axtSyqHUlsyb+83fVbsH8MRYz7VJZnoTEQojpxNQegw2qJPkEi8j+MU4zoVuG4FqiniyfeA9MqOwvBJ+NzKrH0Z0xcDqUOhqiuAfbO01wHHZmlX4PIe+roVGPhOeDmQj1UeVUAik0yEgeOBHwElIrKHqr6XaetvMX5j8m5WydHA9joMN33lMj6+7CDuefEPlJT4mT+vjEBgZBaeGiol/rEcM/aKHpfRduZzx1ISOX8IojLG9CQfIxQ1wO2ZeRQOcK+qPiQinwL+T0Q8oAH4RB5iMyanto5AFARKmTllDCcUj81zRCOD3wkxv/xMCnxluz7YmDzxrPR2F/lY5bEEmJ+l/X7g/qGOx5ih0BBfx7LWp/Mdxogxu+RExhfMyXcYxvTIdhvtziplGjMEKoNTiKfad32gYVbx0cwuPSHfYRizS5ZQdGU3cY0ZAgG3YNu8CrNzc0pPzHcIxph+sBEKY4ZIZXAqrvh7vVRzOGlrS/Lq603E4x77zimmqjI4KK8jOHQkmwm5xbs+2Jg8slse3VlCYcwQqQpNZ2H15azreJO62Co2R0fGVjWL32ji57esRERQT7nzT+v48EnVnPXh3BeHqgxOoSyYvbS2McNNKmUJRWeWUBgzhKrDM6kOz0RVWdzwAG83/TPfIXWRSHi89nojzc0JZs0soqoqyC9uWZXZkGt7HbmHHtnEvnOKmT410nNnuxCNeTz1YjOvvtFGYcTlhMNLOPGIs3JwFcYMvgEWthqVLKEwJg9EhDmlH2JjxzvUx9fikyDlwYkEnQgiDgkvSluynrZk/ZDdIlmztp1rf/QOyaRHKqWIwJSpRUiWmVaJhPKvf9f3O6GIxT2+c+NattQnt+1DsuSddiKtz3D1mVMHchnGmDyxhMKYPPE7IY6r+QItiS2UBGqyVoPsSDbz9Ob/6XFzsFxRVX72i2W0tia7tK9Y0Yb4uu/gqQrJZP8r3z/zUnOXZAIgnlC+d8//cdkJZ1MaKex338YMhYFUyhytbJWHMXnkd0KUByf2WFo67CtmYfXlFLgljAlOp9g/BofebdHdF+s3RGlo7D4SkkyksiYOwaDDwQf0v+jUq2+2d0kmtvXr8/HCu+/0u19jhkzmlke2x+7KRiiMGeaCboQzJl67reqmpyk2R5fz/Jbb6Eg15+Q1kknF6WFbkbJih5YOxfOUVAqCAYcD9ytl9p79H0UoLsyeFKU8paKoqN/9GjNUbISiO0sojBkBOm8i5ojL2PAsTh7/dR7fcCONifVZz4nFUrz0Sj3r13cwcWIBB+xfjt+ffVBy4oQwgaBDNNb1DTIQcDjp+DHsN6+M515sIBb3WDCvhJnTIwPa2Oz4w0t49c22LqMUjgjVpaUsmLFHv/s1xuSPJRTGjFAht5Bja/6Tf264kabExi7P1dbF+PY1bxKNpojFPEJBh3v/vIbvfnM2JSWBbn05jnD5p2dww43vkfKUZFIJBR3Gjw9z3DHVBPwOZ5+Wu2WiM6eEOP/DFfzxr3X4XMEhwNjScv7+re/nZQdWY/rD9vLoyhIKY0awkFvMKeO/wdKmf7Ky7SUa4+nRiltvW0FLS4Kt73fRmEciGePOu1fz2U/PzNrX7L2Luf6Hc3n2+VrqG+LM3ruE+fuW4rqD8wv+2MNKOHT/Itauczlt6ueYP22GJRNmxFC1hGJHllAYM8KJCHuXHs9eJceyovVFXtxyF2++1cSO73WpFLzyasNO+yorC/DhU8YNYrRdhUMOe0wXZk2sGLLXNCY31BKKHVhCYcwoIeIwvegQSnw1iPwb6P5m19PEy3xSPB5Y803GhmZRHZ7J5MgCivxV+Q7LGNNHtmzUmFGmMjyF0w49Ep/bdSWF6woHHTR8RwI2Rt/lzcZHeKH2D7Qndz6SYkzeZW55ZHvsriyhMGYU+tUXv8ak6rEUhQvwuz4Kw2Em1JRw/rmT8x3aTs0qPopDqy4i7JbkOxRjdkoztzwsodjObnkYMwpVl1fw7u/v4+EXn+O9NauZM3UGR+83l/fbnmdZy79oS9bnO8SsNkWXsf69Sn589x9Ys3kTR86dz7c+fgnTxo3Pd2jGdLM7Jw/ZWEJhzCjl8/k47bCjurTNLj2BGUWHsbFjKQkvyvutL1AbW5mnCLv786OvcOc9fyEaS1ft/GDzRu5/9ikW3fJ7po+3XUiNGc4soTBmNxN0I0wuXADAxMh83mz8Oy3JLZT4aygLjCepcfwSpDVZR13sAzZH3yPmtQ96XMmkxx//tIZoLLWtLeV5tEY7+O4dv+GOq7876DEY01uq4Gn/97MZjSyhMGY3FnQj7F/xEVQVVcVxuk+rSmmCNW2LWdH6Ihs6lva679q6GG2tScaPD+Pz7Xq6Vm1dHM/r/gbteR7PLHmt169rzNCwZaM7soTCGIOI9FhUyhU/UwoPYGJkPhs6lvLCljt2OmLR1Jzgxl+8x8pVrbhuut+PXzCZIw4fs9MYigp9pFLZP/GNr7RlpGb4sYSiK1vlYYzpFVd8TCjYhxPGfZmI2/NOoz/56Tu8v6KFREKJRj06OlL87o5VLFvestP+IxEf+88rxe/vmthEQiGuPv/iXFyCMWYQWUJhjOmTYv8Yjqm5koAT7vbc+vUdrF3XQSrVtT0e9/j7Ixt22ffXLjuGkw8+hKDfT2G4gKKCAn586ZWcesgRuQrfmJxQq0PRjd3yMMb0WbF/DAdUnMdzW37Xpb2xKd7j3h/19fGd9lkT3pPDx1zCad8NU9/cxObGBqaOHUcw0H0zM2Pyz+ZQ7MgSCmNMv0wpXMDa9tdZ3bZoe9vkCMlk9zdZv1+Yu09pj305uMwrO2PbqEd5cQnlxVbcygxftjlYd3bLw5g+UFXWti2hNVGHqr2Z7F1yQpfvCwp8nHHaBIKB7W8tPp9QGPFxwnFje+xnfvmZlAcnDlqcxpjBZyMUxvSBR4qX6u4i7rVT4h/L4WMu2a03sioJ1DCt8CBWtL64re30D49n4oQC/v7Iepqbk8zbt5RTTx5HYWHPbzflAUsmzEijpGyEogtLKIzpA1d8HDP2Sp7c+Evq42vZHF2+WycUrvg4uPI/2L/iHNqTjTTG17K+421k/svsN7/nlSA7CriRQYzSmNxT7JbHjiyhMKaPSgM1HDP2Curja5gc2T/f4eSdiENAwgQCYUoDNUwpPIA9i4/hhdrf46lHU2IDfgkyuXABPgnwQdsi2lNNXfpY0vBXjqy+NE9XYEw/2ByKbiyhMKYfSgI1lARq8h3GsFUenMjJ47+GqkdbsoGQW4QrPkQc9ik9mfdanqHEX8Oa9tdZ2foim6Pv055opMDf88RNY8zwZgmFGfFUtccqjya/RBwK/RVd2gJuAXNKTwJgbHgWYbeIiZH5hHxF+QjRmH6yZaM7slUeZsSzZGLk8jsh5pefSWVwCo64+Q7HmF4bSGErEZkoIk+KyNsi8paIfC7T/h0RWSciizOPkzudc7WILBeRd0XkxE7tJ2XalovIVYNysb1kIxTGGGNMnw1ohCIJfElVF4lIEfCqiDyWee6nqnp954NFZG/gPGA2MA74p4jskXn6JuB4YC3wsog8qKpv9zewgbCEwhhjjBlCqroB2JD5ukVElgLjd3LK6cDdqhoDVorIcuDAzHPLVXUFgIjcnTk2LwmF3fIwxhhj+mjrstGB7uUhIlOA+cDWYi5XiMgSEblVRLauvR4PrOl02tpMW0/teWEJhTHGGNNXCp5q1gdQKSKvdHpkXRMtIoXA/wGfV9Vm4FfAdGAe6RGMnwzR1eSE3fIwxhhj+myncyhqVXXBzs4WET/pZOJOVb0PQFU3dXr+N8BDmW/XAZ3LyU7ItLGT9iFnIxTGGGPMEJL00rTfAktV9YZO7Z2L25wJvJn5+kHgPBEJishUYCbwEvAyMFNEpopIgPTEzQeH4hqysREKY4wxpo8GWHr7MOBC4A0RWZxp+xrwMRGZl+l+FfBpAFV9S0TuJT3ZMglcrqopABG5AngEcIFbVfWt/gY1UJZQGGOMMX01gNLbqvoskK2AzsM7Oeda4Nos7Q/v7LyhZAmFMcYY00dqlTK7sTkUxhhjjBkwG6Ewxhhj+sp2G+3GEgpjjDGmzxS1hKKLIb/lISIhEXlJRF7PbIry3Uy7iMi1IvKeiCwVkSuHOjZjjDGm19TL/thN5WOEIgYco6qtmcIez4rI34G9SBfo2FNVPREZk4fYjDHGGNMPQ55QqKoCrZlv/ZmHApcB56um0ztV3TzUsRljjDG9ki5Eke8ohpW8rPIQETdTzGMz8Jiqvki6fvm5mbrnfxeRmfmIzRhjjNk1Ba+Hx24qLwmFqqZUdR7puuMHisgcIAhEM/XPfwPcmu1cEbl064YrW7ZsGbqgjTHGmM5sDkUXea1DoaqNwJPASaS3Xb0v89T9wNwezvm1qi5Q1QVVVVVDE6gxxhhjdiofqzyqRKQ083UYOB54B3gAWJg57CjgvaGOzRhjjOmVrXMosj12U/lY5VED3C4iLumE5l5VfUhEngXuFJEvkJ60eUkeYjMm76KpZjZFlzM5sl++QzHG9Eh36+Qhm3ys8lgCzM/S3gicMtTxGDPcBJ0iJhXMy3cYxphd2Y3nS2RjlTKNGWZEhOwbERpjzPBlCYUxxhjTV7p7LxHNxhIKY4wxpj9sDkUXllAYY4wx/WFzKLrIax0KY4wxxowONkJhjDHG9JXastEdWUJhjDHG9IclFF1YQmHMEPI0RUN8LQVuGa7jJ+CE8x2SMaaf0ptnm61sDoUxQ8wVH6vbXmFJw1/zHYoxxuSMjVAYM4QccSkNjKc0MD7foRhjBsLmUHRjCYUxxhjTH5ZQdGEJhTHGGNNnanUodmBzKIwxxhgzYDZCYYwxxvSVYrc8dmAJhTHGGNMftmy0C0sojDHGmD6zVR47sjkUxhhjjBkwG6Ewxhhj+srmUHRjCYUxxhjTH7ZstAtLKIwxxpg+szkUO7I5FMYYY4wZMBuhMMYYY/pKAc+WjXZmCYUxxhjTHzaHogtLKIwxxpg+szkUOxIdwZW+RGQLsDrfceRYJVCb7yBybDReE9h1jSSj8Zogf9c1WVWr8vC6w4aI/IP0//9salX1pKGMZzgY0QnFaCQir6jqgnzHkUuj8ZrArmskGY3XBKP3uszIZKs8jDHGGDNgllAYY4wxZsAsoRh+fp3vAAbBaLwmsOsaSUbjNcHovS4zAtkcCmOMMcYMmI1QGGOMMWbALKEwxhhjzIBZQjFMiMgXROQtEXlTRO4SkVC+Y+oPEblVRDaLyJud2spF5DERWZb5syyfMfZHD9d1nYi8IyJLROR+ESnNZ4x9le2aOj33JRFREelpnf2w1dN1ich/Zv6+3hKRH+crvv7q4d/gPBF5QUQWi8grInJgPmM0uzdLKIYBERkPXAksUNU5gAucl9+o+u02YMeCLlcBj6vqTODxzPcjzW10v67HgDmqOhd4D7h6qIMaoNvofk2IyETgBOCDoQ4oR25jh+sSkYXA6cC+qjobuD4PcQ3UbXT/+/ox8F1VnQd8K/O9MXlhCcXw4QPCIuIDCoD1eY6nX1T1GaB+h+bTgdszX98OnDGkQeVAtutS1UdVNZn59gVgwpAHNgA9/F0B/BT4Cuntj0acHq7rMuCHqhrLHLN5yAMboB6uS4HizNcljND3DTM6WEIxDKjqOtKfmD4ANgBNqvpofqPKqWpV3ZD5eiNQnc9gBskngL/nO4iBEpHTgXWq+nq+Y8mxPYAjRORFEXlaRA7Id0A58nngOhFZQ/o9ZKSNkplRxBKKYSAzp+B0YCowDoiIyH/kN6rBoel1yiPyk29PROTrQBK4M9+xDISIFABfIz10Ptr4gHLgYODLwL0iIvkNKScuA76gqhOBLwC/zXM8ZjdmCcXwcBywUlW3qGoCuA84NM8x5dImEakByPw54oabeyIiFwOnAhfoyC/qMp10Uvu6iKwifQtnkYiMzWtUubEWuE/TXgI8et7YaSS5iPT7BcCfAJuUafLGEorh4QPgYBEpyHxqOhZYmueYculB0m98ZP78Sx5jyRkROYn0XIPTVLU93/EMlKq+oapjVHWKqk4h/Ut4P1XdmOfQcuEBYCGAiOwBBBgdu4+uB47KfH0MsCyPsZjdnCUUw4Cqvgj8GVgEvEH672VEltQVkbuAfwOzRGStiHwS+CFwvIgsIz0a88N8xtgfPVzXL4Ei4LHMsr3/yWuQfdTDNY14PVzXrcC0zJLLu4GLRtqIUg/X9SngJyLyOvAD4NJ8xmh2b1Z62xhjjDEDZiMUxhhjjBkwSyiMMcYYM2CWUBhjjDFmwCyhMMYYY8yAWUJhjDHGmAGzhMKYnRCR1kHo8zQRuSrz9Rkisnc/+nhKRBbkOjZjjOkvSyiMGWKq+qCqbq3FcQbQ54TCGGOGG0sojOkFSbtORN4UkTdE5NxM+9GZ0YI/i8g7InLn1j0iROTkTNurIvJzEXko036xiPxSRA4FTiO9udNiEZneeeRBRCozJbARkbCI3C0iS0XkfiDcKbYTROTfIrJIRP4kIoVD+3/HGGPSG+YYY3btLGAesC/pPSBeFpFnMs/NB2aTLoP8HHCYiLwC3AIcqaorM1UOu1DV50XkQeAhVf0zwE72q7oMaFfVvURkLumqqohIJfAN4DhVbRORrwJfBK7JxUUbY0xvWUJhTO8cDtylqinSm509DRwANAMvqepaABFZDEwBWoEVqroyc/5dDKws8pHAzwFUdYmILMm0H0z6lslzmWQkQLo8szHGDClLKIwZuFinr1MM7OcqyfZbkaFeHC/AY6r6sQG8pjHGDJjNoTCmd/4FnCsirohUkR4xeGknx79LejOqKZnvz+3huBbSG4xttQrYP/P1Rzq1PwOcDyAic4C5mfYXSN9imZF5LpLZTdMYY4aUJRTG9M79wBLgdeAJ4Cs729ZbVTuAzwL/EJFXSScOTVkOvRv4soi8JiLTgeuBy0TkNdJzNbb6FVAoIktJz494NfM6W4CLgbsyt0H+Dew5kAs1xpj+sN1GjRkkIlKoqq2ZVR83ActU9af5jssYYwaDjVAYM3g+lZmk+RZQQnrVhzHGjEo2QmGMMcaYAbMRCmOMMcYMmCUUxhhjjBkwSyiMMcYYM2CWUBhjjDFmwCyhMMYYY8yAWUJhjDHGmAGzhMIYY4wxA2YJhTHGGGMGzBIKY4wxxgyYJRTGGGOMGTBLKIwxxhgzYJZQGGOMMWbALKEwxhhjzIBZQmGMMcaYAbOEwhhjjDEDZgmFMcYYYwbMEgpjjDHGDJglFMYYY4z5/+3de4wdZRnH8e+PVtAAArWICAjFeAnirVSFCES8cFUBJYrBCGo0Go0QNVqCUUzUiARD8IYaURQUvGIVFSoCErXUgi1tFWiLJYqVKqhF0Vp2H/+Y9+zOzp45F9/dnd1zfp/k9Mx5533f8z7znsuzc6Yz2ZxQmJmZWTYnFGZmZpbNCYWZmZllc0JhZmZm2ZxQmJmZWTYnFGZmZpbNCYWZmZllc0JhZmZm2ZxQmJmZWTYnFGZmZpbNCYWZmZllc0JhZmZm2ZxQmJmZWTYnFGZmZpbNCYWZmZllc0JhZmZm2ZxQmJmZWTYnFGZmZpbNCYWZmZllc0JhZmZm2ZxQmJmZWTYnFGZmZpbNCYWZmZllm99p5XHH7BoPPDhCjJVE6V9KpdUadHgcE1aMr1eP7Vv3qqlX00/0Xr+u70nlY43qxj59Y+w8nsnrq3310qbdcxK9zpPaVuhar2ZctItl0tgn1+3cZ5exdK3frV5//fVcZ0K99rH23V+f9TWVsXSpPynCvrdRb/W6bMms567teyb767Z9u79BetNte3Z74/Tx2lLffdR8ENW279Z/7YdQH8/bZUy189K+3fjQ2rd7iL9dFxHH13SapWNC8cCDI6y87kmMMgrASBT3o2nI4+UxVjYyti7G1hWPmbB+JMU6Xl68/EZj4uPxclXKd2pfHqk8rZ9cPrH9pPqhUt87VeqqUrfSZ6X++Niq/anz45p+J/dXHc/EbTUaO03afqOT+q6Uj/VZ0652fc19j/Wipn6U6sWkNkxoU7c+2vTVaf1YAtlK8CbVq66fWF6t3/7xxHXj9+37apWrpnxyP13aJerSz+Tna9Oupm7XtvRZv896fbcvjef/7av3dtFlfa+Po/360fHHXev2un60bsx17SZ+yFdjntwuKmOvPl+U3/SVPiv33dZ3qzfarV3r8Wif7Ur1K22i1Ve1j9GJzxGjdc85mu46P/5pfHsh08Q/eZiZmVk2JxRmZmaWzQmFmZmZZXNCYWZmZtmcUJiZmVk2JxRmZmaWzQmFmZmZZXNCYWZmZtmcUJiZmVk2JxRmZmaWzQmFmZmZZXNCYWZmZtmcUJiZmVk2JxRmZmaWzQmFmZmZZXM86ySsAAAJn0lEQVRCYWZmZtmcUJiZmVk2JxRmZmaWzQmFmZmZZXNCYWZmZtmcUJiZmVk2JxRmZmaWzQmFmZmZZVNE1K+UfgIsnLnhzCoLgb82PYiGOPbhM6xxg2N37MPl0RFx6HR03DGhGGaSVkXEkqbH0QTHPnyxD2vc4Ngd+3CZzrj9k4eZmZllc0JhZmZm2ZxQ1PtC0wNokGMfPsMaNzj2YTWssU9b3D6GwszMzLJ5D4WZmZllG5qEQtIBkm6U9FtJ6yWdncrPl3SfpNXpdmKpzbmSNkq6S9JxpfLjU9lGSUubiKdfkjZLWptiXJXKFkhaLmlDut8rlUvSJSm+OyQtLvVzZqq/QdKZTcXTK0lPK83taknbJJ0zqPMu6TJJWyWtK5VN2TxLOiy9jjamtprZCNuriftCSXem2L4nac9UfpCkf5fm/tJSm7bx1W3D2aAm9il7fUtaJOnWVH61pJ1nLrrOamK/uhT3ZkmrU/nAzLvqv8+afa9HxFDcgH2BxWl5d+Bu4BDgfOC9beofAqwBdgEWAZuAeem2CTgY2DnVOaTp+HqIfzOwsFL2CWBpWl4KXJCWTwR+DAg4HLg1lS8A7kn3e6XlvZqOrY9tMA/4M3DgoM47cDSwGFg3HfMMrEx1ldqe0HTMHeI+Fpifli8oxX1QuV6ln7bx1W3D2XCriX3KXt/AN4HT0/KlwNubjrlT7JX1FwEfHLR5p/77rNH3+tDsoYiILRFxe1p+CPgdsF+HJicDV0XE9oj4PbAReH66bYyIeyLiv8BVqe5cdDJweVq+HDilVP7VKKwA9pS0L3AcsDwiHoyIvwHLgeNnetAZXgJsioh7O9SZ0/MeET8HHqwUT8k8p3WPjYgVUXzifLXUV6PaxR0R10fEI+nhCmD/Tn10ia9uGzauZs7r9PX6Tn+Vvhj4dmo/Z2JPY38N8I1OfczFee/wfdboe31oEooySQcBzwVuTUXvTLuBLivt0toP+EOp2R9TWV35bBfA9ZJuk/TWVLZPRGxJy38G9knLgxZ7y+lM/HAZhnmHqZvn/dJytXwueBPFX1ktiyT9RtLNko5KZZ3iq9uGs9lUvL4fB/y9lJjNpTk/Crg/IjaUygZu3ivfZ42+14cuoZC0G/Ad4JyI2AZ8Dngy8BxgC8UuskF0ZEQsBk4A3iHp6PLKlIUO7H/5Sb/7vhL4VioalnmfYNDnuR1J5wGPAFemoi3AkyLiucC7ga9Lemyv/c2RbTiUr++K1zHxD4iBm/c232djmhjvUCUUkh5FsfGvjIjvAkTE/RExEhGjwBcpdv0B3AccUGq+fyqrK5/VIuK+dL8V+B5FnPenXVut3X5bU/WBij05Abg9Iu6H4Zn3ZKrm+T4m/mww67eBpLOAlwNnpA9Y0u7+B9LybRTHDjyVzvHVbcNZaQpf3w9Q7B6fXymf1dJ4XwVc3SobtHlv931Gw+/1oUko0u9pXwJ+FxGfLJXvW6p2KtA6WngZcLqkXSQtAp5CcZDKr4GnpCOfd6bYjb5sJmL4f0naVdLurWWKg9XWUYy7dVTvmcD30/Iy4A3pyODDgX+k3WjXAcdK2ivtQj02lc0FE/5aGYZ5L5mSeU7rtkk6PL2f3lDqa9aRdDzwPuCVEfFwqXxvSfPS8sEUc3xPl/jqtuGsNFWv75SE3QicltrP+tiTlwJ3RsTYbvtBmve67zOafq93O2pzUG7AkRS7f+4AVqfbicDXgLWpfBmwb6nNeRRZ7F2UjnBN7e5O685rOrYeYj+Y4qjtNcD61pgpfh+9AdgA/BRYkMoFfCbFtxZYUurrTRQHcm0E3th0bD3GvyvFX1p7lMoGct4pkqYtwA6K3z3fPJXzDCyh+HLaBHyadHK8pm81cW+k+H249X6/NNV9dXofrAZuB17RLb66bTgbbjWxT9nrO31+rEzb81vALk3H3Cn2VP4V4G2VugMz79R/nzX6XveZMs3MzCzb0PzkYWZmZtPHCYWZmZllc0JhZmZm2ZxQmJmZWTYnFGZmZpbNCYXZNJP0BElXSdqUTn3+I0lPbXpcTZG0RNIlTY/DzKaW/9uo2TRKJ4X5JXB5RFyayp5NceGdWxodXI8kzYuIkZp182P8Og9mNsS8h8Jseh0D7GglEwARsSYibpG0m6QbJN0uaa2kk2HszKbXSlojaZ2k16byw9JFjW6TdF3pFLvvkvTbdCGoq6oDkHSWpO9LuknSBkkfKq17vaSVklZL+nzpTIL/lHSRpDXAEZX+bpJ0saRVwNkdxvW8NKbVki6UtC6Vv0jSD9PyAknXpHorJD0rlZ+v4qJWN0m6R9K7pnBOzGwazO9excwyHArcVrPuP8CpEbFN0kJghaRlFJeE/1NEnAQgaQ8V5+3/FHByRPwlJRkfpTjL3VJgUURsl7RnzXM9P43lYeDXkq4F/gW8FnhhROyQ9FngDIpLFe8K3BoR76npb+eIWJLGdXPNuL4MvCUifiXp4zX9fBj4TUScIunF6bmfk9Y9nSIh2x24S9LnImJHTT9m1jAnFGbNEfAxFVd+HaW4PPA+FKfGvUjSBcAP096MQykSguXFryjMozjlMBSn371S0jXANTXPtTzShZEkfZfi1L2PAIdRJBgAj2H8YkIjFBceqtO66NLT2o0rJTa7R8SvUr2vU1ykq+pIilMiExE/k/Q4jV8B8tqI2A5sl7Q1bZs/tunDzGYBJxRm02s94xdWqjoD2Bs4LO0h2Aw8OiLulrSY4tz8H5F0A8UVYtdHxBFt+jkJOBp4BXCepGe2Oa6herBUUCQ0l0fEuW36/E/dcRPJv9K92o2rw56SfmwvLY/gzyuzWc3HUJhNr58Bu0h6a6tA0rMkHQXsAWxNycQxwIFp/ROBhyPiCuBCYDHFhZz2lnREqvMoSc+QtBNwQETcCLw/9blbm3G8LB2v8BjgFOAXFBcROk3S41OfCyQd2Gd8bccVEX8HHpL0glTv9Jr2t1AkVkh6EfDXiNjW5xjMbBZwxm82jSIiJJ0KXCzp/RTHTWwGzgGuBH4gaS2wCrgzNXsmcKGkUYqrKL49Iv4r6TTgEkl7ULx3L6a4OuQVqUzAJenLvGolxU8Y+wNXRMQqAEkfAK5PickO4B3AvX3EVzeu9RRXvfxiiuNm4B9tujgfuEzSHRTHd5zZpo6ZzQH+b6NmA07SWRSXK37nDD/vbhHxz7S8lOIS2mfP5BjMbOZ4D4WZTZeTJJ1L8TlzL3BWs8Mxs+nkPRRmZmaWzQdlmpmZWTYnFGZmZpbNCYWZmZllc0JhZmZm2ZxQmJmZWTYnFGZmZpbtfx4qhgU6BXoYAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 648x648 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
    "\n",
    "fig,ax= plt.subplots(figsize=(9,9))\n",
    "\n",
    "divider = make_axes_locatable(ax)\n",
    "cax_province = divider.append_axes(\"right\", size=\"2%\", pad=0.9)\n",
    "\n",
    "ax.set_xlabel(\"longitude\")\n",
    "ax.set_ylabel(\"latitude\")\n",
    "\n",
    "# Region\n",
    "map_df.plot(ax=ax, alpha=0.8,            \n",
    "            column='totale_casi', \n",
    "            cmap='viridis_r', \n",
    "            legend=True,\n",
    "            vmin=1, \n",
    "            vmax=20000,\n",
    "            legend_kwds={'label': \"Cases per region\",\n",
    "                         'orientation': \"horizontal\"})\n",
    "# Province\n",
    "geo_df.plot(ax=ax, column='totale_casi', cmap='BrBG_r', \n",
    "            facecolor=\"none\", \n",
    "            edgecolors=None, \n",
    "            legend=True,\n",
    "            vmin=1, \n",
    "            vmax=20000,\n",
    "            cax=cax_province,\n",
    "            legend_kwds={'label': \"Cases per province\"})"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}