COVIT-19 Analisys.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "COVIT-19",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A80Us-YWVLpZ",
        "colab_type": "text"
      },
      "source": [
        "# COVIT-19 Data Analisys"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w-YOk4mpVYTq",
        "colab_type": "text"
      },
      "source": [
        "## Get Public DataSets for COVIT-19\n",
        "Extract last data published"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "smyKCuTHv_F-",
        "colab_type": "code",
        "outputId": "13b5b5f0-7926-42de-801a-046b4b7c18ef",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "import urllib\n",
        "import datetime\n",
        "dt = datetime.datetime.today()\n",
        "year = dt.strftime('%Y')\n",
        "month = dt.strftime('%m')\n",
        "day = dt.strftime('%d')\n",
        "# Mundial Data\n",
        "outfilename = f'COVIT-19-{dt.year}{dt.month}{dt.day}.xls'\n",
        "# url_of_file = f'https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-geographic-disbtribution-worldwide-{year}-{month}-{day}.xlsx'\n",
        "url_of_file = f'https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-geographic-disbtribution-worldwide.xlsx'\n",
        "print(url_of_file)\n",
        "urllib.request.urlretrieve(url_of_file, outfilename)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-geographic-disbtribution-worldwide.xlsx\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('COVIT-19-202042.xls', <http.client.HTTPMessage at 0x7f69b2c576d8>)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V5AyE1YgVjwV",
        "colab_type": "text"
      },
      "source": [
        "## Prepare and Clean Data\n",
        "Build DataSet to work"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uWxdPNmYwGaW",
        "colab_type": "code",
        "outputId": "ac91fd5e-f58e-4a2a-c71f-75ab46f60ea6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "import pandas as pd \n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Read Data\n",
        "dt = datetime.datetime.today()\n",
        "file = f'COVIT-19-{dt.year}{dt.month}{dt.day}.xls'\n",
        "df = pd.read_excel(file)\n",
        "\n",
        "# Prepare Dataset\n",
        "data = pd.DataFrame(df, columns= ['dateRep', 'day','month', 'year', 'cases', 'deaths', 'countriesAndTerritories'])\n",
        "data = data.rename(columns={\"dateRep\": \"Date\", \"countriesAndTerritories\": \"Country\", \"cases\":\"Cases\", \"deaths\": \"Deaths\", \"month\": \"Month\", \"day\": \"Day\"})\n",
        "\n",
        "# Filter Dataset\n",
        "data = data[data['Cases'] > 0]\n",
        "data['Period'] = data['Month']*100+data['Day']\n",
        "data = data.sort_values(['Country', 'Date'], ascending=[True, True])\n",
        "\n",
        "# Index DataSet\n",
        "data['Id'] = data.groupby(['Country']).cumcount()\n",
        "\n",
        "# Prepare data\n",
        "ant = data.iloc[0]['Cases']\n",
        "antd = data.iloc[0]['Deaths']\n",
        "ants = 0\n",
        "country = data.iloc[0]['Country']\n",
        "i = 0\n",
        "c = [] # cases\n",
        "d = [] # deaths\n",
        "s = [] # start deaths\n",
        "p = [] # impact\n",
        "\n",
        "death = False\n",
        "for i in range(i, len(data)):\n",
        "\n",
        "  # Validate start first death\n",
        "  if country == data.iloc[i]['Country']:\n",
        "    if death == False and data.iloc[i]['Deaths'] > 0:\n",
        "      death = True\n",
        "  else:\n",
        "    death = False\n",
        "\n",
        "  # Sumarize\n",
        "  Cases = (data.iloc[i]['Cases'] + (ant if i > 0 else 0)) if country == data.iloc[i]['Country'] else data.iloc[i]['Cases']\n",
        "  Deaths = (data.iloc[i]['Deaths'] + (antd if i > 0 else 0)) if country == data.iloc[i]['Country'] else data.iloc[i]['Deaths']\n",
        "  StartDeaths = 1 if country == data.iloc[i]['Country'] and death else 0\n",
        "  Impact = Deaths / (0 if Cases == 0 else Cases) * 100\n",
        "  \n",
        "  \n",
        "  # Append cases\n",
        "  c.append(Cases)\n",
        "  d.append(Deaths)\n",
        "  s.append(StartDeaths)\n",
        "  p.append(Impact)\n",
        "  ant = Cases\n",
        "  antd = Deaths\n",
        "  ants = StartDeaths\n",
        "  country = data.iloc[i]['Country']\n",
        "\n",
        "data[\"Total_Cases\"] = c\n",
        "data[\"Total_Deaths\"] = d\n",
        "data['StartDeaths'] = s\n",
        "data['Impact'] = p\n",
        "\n",
        "\n",
        "# Index DataSet start by deaths\n",
        "data = data[data['StartDeaths'] == 1]\n",
        "data['Id'] = data.groupby(['Country']).cumcount()\n",
        "\n",
        "data.head(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Date</th>\n",
              "      <th>Day</th>\n",
              "      <th>Month</th>\n",
              "      <th>year</th>\n",
              "      <th>Cases</th>\n",
              "      <th>Deaths</th>\n",
              "      <th>Country</th>\n",
              "      <th>Period</th>\n",
              "      <th>Id</th>\n",
              "      <th>Total_Cases</th>\n",
              "      <th>Total_Deaths</th>\n",
              "      <th>StartDeaths</th>\n",
              "      <th>Impact</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2020-03-24</td>\n",
              "      <td>24</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>324</td>\n",
              "      <td>0</td>\n",
              "      <td>40</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2020-03-25</td>\n",
              "      <td>25</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>325</td>\n",
              "      <td>1</td>\n",
              "      <td>42</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2.380952</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2020-03-26</td>\n",
              "      <td>26</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>33</td>\n",
              "      <td>0</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>326</td>\n",
              "      <td>2</td>\n",
              "      <td>75</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2020-03-28</td>\n",
              "      <td>28</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>16</td>\n",
              "      <td>1</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>328</td>\n",
              "      <td>3</td>\n",
              "      <td>91</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2.197802</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2020-03-29</td>\n",
              "      <td>29</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>329</td>\n",
              "      <td>4</td>\n",
              "      <td>106</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2.830189</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2020-03-30</td>\n",
              "      <td>30</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>330</td>\n",
              "      <td>5</td>\n",
              "      <td>114</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>3.508772</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2020-03-31</td>\n",
              "      <td>31</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>27</td>\n",
              "      <td>0</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>331</td>\n",
              "      <td>6</td>\n",
              "      <td>141</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>2.836879</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2020-04-01</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>2020</td>\n",
              "      <td>25</td>\n",
              "      <td>0</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>401</td>\n",
              "      <td>7</td>\n",
              "      <td>166</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>2.409639</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2020-04-02</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2020</td>\n",
              "      <td>26</td>\n",
              "      <td>0</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>402</td>\n",
              "      <td>8</td>\n",
              "      <td>192</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>2.083333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>110</th>\n",
              "      <td>2020-03-12</td>\n",
              "      <td>12</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>Albania</td>\n",
              "      <td>312</td>\n",
              "      <td>0</td>\n",
              "      <td>11</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>9.090909</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>109</th>\n",
              "      <td>2020-03-13</td>\n",
              "      <td>13</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>Albania</td>\n",
              "      <td>313</td>\n",
              "      <td>1</td>\n",
              "      <td>23</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4.347826</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>108</th>\n",
              "      <td>2020-03-14</td>\n",
              "      <td>14</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>10</td>\n",
              "      <td>0</td>\n",
              "      <td>Albania</td>\n",
              "      <td>314</td>\n",
              "      <td>2</td>\n",
              "      <td>33</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3.030303</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>107</th>\n",
              "      <td>2020-03-15</td>\n",
              "      <td>15</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>Albania</td>\n",
              "      <td>315</td>\n",
              "      <td>3</td>\n",
              "      <td>38</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2.631579</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>106</th>\n",
              "      <td>2020-03-16</td>\n",
              "      <td>16</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>Albania</td>\n",
              "      <td>316</td>\n",
              "      <td>4</td>\n",
              "      <td>42</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2.380952</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>105</th>\n",
              "      <td>2020-03-17</td>\n",
              "      <td>17</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>Albania</td>\n",
              "      <td>317</td>\n",
              "      <td>5</td>\n",
              "      <td>51</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1.960784</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>104</th>\n",
              "      <td>2020-03-18</td>\n",
              "      <td>18</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>Albania</td>\n",
              "      <td>318</td>\n",
              "      <td>6</td>\n",
              "      <td>55</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1.818182</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>103</th>\n",
              "      <td>2020-03-19</td>\n",
              "      <td>19</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>Albania</td>\n",
              "      <td>319</td>\n",
              "      <td>7</td>\n",
              "      <td>59</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3.389831</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102</th>\n",
              "      <td>2020-03-20</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>Albania</td>\n",
              "      <td>320</td>\n",
              "      <td>8</td>\n",
              "      <td>70</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2.857143</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>100</th>\n",
              "      <td>2020-03-22</td>\n",
              "      <td>22</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>Albania</td>\n",
              "      <td>322</td>\n",
              "      <td>9</td>\n",
              "      <td>76</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2.631579</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>2020-03-23</td>\n",
              "      <td>23</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>13</td>\n",
              "      <td>0</td>\n",
              "      <td>Albania</td>\n",
              "      <td>323</td>\n",
              "      <td>10</td>\n",
              "      <td>89</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2.247191</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>2020-03-24</td>\n",
              "      <td>24</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>11</td>\n",
              "      <td>2</td>\n",
              "      <td>Albania</td>\n",
              "      <td>324</td>\n",
              "      <td>11</td>\n",
              "      <td>100</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>4.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>2020-03-25</td>\n",
              "      <td>25</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>23</td>\n",
              "      <td>1</td>\n",
              "      <td>Albania</td>\n",
              "      <td>325</td>\n",
              "      <td>12</td>\n",
              "      <td>123</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>4.065041</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>2020-03-26</td>\n",
              "      <td>26</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>23</td>\n",
              "      <td>0</td>\n",
              "      <td>Albania</td>\n",
              "      <td>326</td>\n",
              "      <td>13</td>\n",
              "      <td>146</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>3.424658</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95</th>\n",
              "      <td>2020-03-27</td>\n",
              "      <td>27</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>28</td>\n",
              "      <td>1</td>\n",
              "      <td>Albania</td>\n",
              "      <td>327</td>\n",
              "      <td>14</td>\n",
              "      <td>174</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>3.448276</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>2020-03-28</td>\n",
              "      <td>28</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>12</td>\n",
              "      <td>3</td>\n",
              "      <td>Albania</td>\n",
              "      <td>328</td>\n",
              "      <td>15</td>\n",
              "      <td>186</td>\n",
              "      <td>9</td>\n",
              "      <td>1</td>\n",
              "      <td>4.838710</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>2020-03-29</td>\n",
              "      <td>29</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>11</td>\n",
              "      <td>1</td>\n",
              "      <td>Albania</td>\n",
              "      <td>329</td>\n",
              "      <td>16</td>\n",
              "      <td>197</td>\n",
              "      <td>10</td>\n",
              "      <td>1</td>\n",
              "      <td>5.076142</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>2020-03-30</td>\n",
              "      <td>30</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>15</td>\n",
              "      <td>0</td>\n",
              "      <td>Albania</td>\n",
              "      <td>330</td>\n",
              "      <td>17</td>\n",
              "      <td>212</td>\n",
              "      <td>10</td>\n",
              "      <td>1</td>\n",
              "      <td>4.716981</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>2020-03-31</td>\n",
              "      <td>31</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>11</td>\n",
              "      <td>2</td>\n",
              "      <td>Albania</td>\n",
              "      <td>331</td>\n",
              "      <td>18</td>\n",
              "      <td>223</td>\n",
              "      <td>12</td>\n",
              "      <td>1</td>\n",
              "      <td>5.381166</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>2020-04-01</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>2020</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>Albania</td>\n",
              "      <td>401</td>\n",
              "      <td>19</td>\n",
              "      <td>243</td>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>6.172840</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89</th>\n",
              "      <td>2020-04-02</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2020</td>\n",
              "      <td>16</td>\n",
              "      <td>0</td>\n",
              "      <td>Albania</td>\n",
              "      <td>402</td>\n",
              "      <td>20</td>\n",
              "      <td>259</td>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>5.791506</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>154</th>\n",
              "      <td>2020-03-13</td>\n",
              "      <td>13</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>313</td>\n",
              "      <td>0</td>\n",
              "      <td>24</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4.166667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>153</th>\n",
              "      <td>2020-03-14</td>\n",
              "      <td>14</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>314</td>\n",
              "      <td>1</td>\n",
              "      <td>26</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>7.692308</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>152</th>\n",
              "      <td>2020-03-15</td>\n",
              "      <td>15</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>315</td>\n",
              "      <td>2</td>\n",
              "      <td>37</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>5.405405</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>151</th>\n",
              "      <td>2020-03-16</td>\n",
              "      <td>16</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>11</td>\n",
              "      <td>2</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>316</td>\n",
              "      <td>3</td>\n",
              "      <td>48</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>8.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>150</th>\n",
              "      <td>2020-03-17</td>\n",
              "      <td>17</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>317</td>\n",
              "      <td>4</td>\n",
              "      <td>60</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>6.666667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148</th>\n",
              "      <td>2020-03-19</td>\n",
              "      <td>19</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>13</td>\n",
              "      <td>1</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>319</td>\n",
              "      <td>5</td>\n",
              "      <td>73</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>6.849315</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>2020-03-20</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>9</td>\n",
              "      <td>1</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>320</td>\n",
              "      <td>6</td>\n",
              "      <td>82</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>7.317073</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146</th>\n",
              "      <td>2020-03-21</td>\n",
              "      <td>21</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>12</td>\n",
              "      <td>3</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>321</td>\n",
              "      <td>7</td>\n",
              "      <td>94</td>\n",
              "      <td>9</td>\n",
              "      <td>1</td>\n",
              "      <td>9.574468</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>144</th>\n",
              "      <td>2020-03-23</td>\n",
              "      <td>23</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>323</td>\n",
              "      <td>8</td>\n",
              "      <td>102</td>\n",
              "      <td>14</td>\n",
              "      <td>1</td>\n",
              "      <td>13.725490</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>143</th>\n",
              "      <td>2020-03-24</td>\n",
              "      <td>24</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>87</td>\n",
              "      <td>2</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>324</td>\n",
              "      <td>9</td>\n",
              "      <td>189</td>\n",
              "      <td>16</td>\n",
              "      <td>1</td>\n",
              "      <td>8.465608</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>142</th>\n",
              "      <td>2020-03-25</td>\n",
              "      <td>25</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>42</td>\n",
              "      <td>0</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>325</td>\n",
              "      <td>10</td>\n",
              "      <td>231</td>\n",
              "      <td>16</td>\n",
              "      <td>1</td>\n",
              "      <td>6.926407</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>141</th>\n",
              "      <td>2020-03-26</td>\n",
              "      <td>26</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>33</td>\n",
              "      <td>0</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>326</td>\n",
              "      <td>11</td>\n",
              "      <td>264</td>\n",
              "      <td>16</td>\n",
              "      <td>1</td>\n",
              "      <td>6.060606</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>2020-03-27</td>\n",
              "      <td>27</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>41</td>\n",
              "      <td>4</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>327</td>\n",
              "      <td>12</td>\n",
              "      <td>305</td>\n",
              "      <td>20</td>\n",
              "      <td>1</td>\n",
              "      <td>6.557377</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>138</th>\n",
              "      <td>2020-03-29</td>\n",
              "      <td>29</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>104</td>\n",
              "      <td>5</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>329</td>\n",
              "      <td>13</td>\n",
              "      <td>409</td>\n",
              "      <td>25</td>\n",
              "      <td>1</td>\n",
              "      <td>6.112469</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>137</th>\n",
              "      <td>2020-03-30</td>\n",
              "      <td>30</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>45</td>\n",
              "      <td>3</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>330</td>\n",
              "      <td>14</td>\n",
              "      <td>454</td>\n",
              "      <td>28</td>\n",
              "      <td>1</td>\n",
              "      <td>6.167401</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>136</th>\n",
              "      <td>2020-03-31</td>\n",
              "      <td>31</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>57</td>\n",
              "      <td>2</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>331</td>\n",
              "      <td>15</td>\n",
              "      <td>511</td>\n",
              "      <td>30</td>\n",
              "      <td>1</td>\n",
              "      <td>5.870841</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>135</th>\n",
              "      <td>2020-04-01</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>2020</td>\n",
              "      <td>73</td>\n",
              "      <td>4</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>401</td>\n",
              "      <td>16</td>\n",
              "      <td>584</td>\n",
              "      <td>34</td>\n",
              "      <td>1</td>\n",
              "      <td>5.821918</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>134</th>\n",
              "      <td>2020-04-02</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2020</td>\n",
              "      <td>263</td>\n",
              "      <td>23</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>402</td>\n",
              "      <td>17</td>\n",
              "      <td>847</td>\n",
              "      <td>57</td>\n",
              "      <td>1</td>\n",
              "      <td>6.729634</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>120</th>\n",
              "      <td>2020-03-27</td>\n",
              "      <td>27</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>36</td>\n",
              "      <td>3</td>\n",
              "      <td>Andorra</td>\n",
              "      <td>327</td>\n",
              "      <td>0</td>\n",
              "      <td>224</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1.339286</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>119</th>\n",
              "      <td>2020-03-28</td>\n",
              "      <td>28</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>43</td>\n",
              "      <td>0</td>\n",
              "      <td>Andorra</td>\n",
              "      <td>328</td>\n",
              "      <td>1</td>\n",
              "      <td>267</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1.123596</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          Date  Day  Month  ...  Total_Deaths  StartDeaths     Impact\n",
              "9   2020-03-24   24      3  ...             1            1   2.500000\n",
              "8   2020-03-25   25      3  ...             1            1   2.380952\n",
              "7   2020-03-26   26      3  ...             1            1   1.333333\n",
              "5   2020-03-28   28      3  ...             2            1   2.197802\n",
              "4   2020-03-29   29      3  ...             3            1   2.830189\n",
              "3   2020-03-30   30      3  ...             4            1   3.508772\n",
              "2   2020-03-31   31      3  ...             4            1   2.836879\n",
              "1   2020-04-01    1      4  ...             4            1   2.409639\n",
              "0   2020-04-02    2      4  ...             4            1   2.083333\n",
              "110 2020-03-12   12      3  ...             1            1   9.090909\n",
              "109 2020-03-13   13      3  ...             1            1   4.347826\n",
              "108 2020-03-14   14      3  ...             1            1   3.030303\n",
              "107 2020-03-15   15      3  ...             1            1   2.631579\n",
              "106 2020-03-16   16      3  ...             1            1   2.380952\n",
              "105 2020-03-17   17      3  ...             1            1   1.960784\n",
              "104 2020-03-18   18      3  ...             1            1   1.818182\n",
              "103 2020-03-19   19      3  ...             2            1   3.389831\n",
              "102 2020-03-20   20      3  ...             2            1   2.857143\n",
              "100 2020-03-22   22      3  ...             2            1   2.631579\n",
              "99  2020-03-23   23      3  ...             2            1   2.247191\n",
              "98  2020-03-24   24      3  ...             4            1   4.000000\n",
              "97  2020-03-25   25      3  ...             5            1   4.065041\n",
              "96  2020-03-26   26      3  ...             5            1   3.424658\n",
              "95  2020-03-27   27      3  ...             6            1   3.448276\n",
              "94  2020-03-28   28      3  ...             9            1   4.838710\n",
              "93  2020-03-29   29      3  ...            10            1   5.076142\n",
              "92  2020-03-30   30      3  ...            10            1   4.716981\n",
              "91  2020-03-31   31      3  ...            12            1   5.381166\n",
              "90  2020-04-01    1      4  ...            15            1   6.172840\n",
              "89  2020-04-02    2      4  ...            15            1   5.791506\n",
              "154 2020-03-13   13      3  ...             1            1   4.166667\n",
              "153 2020-03-14   14      3  ...             2            1   7.692308\n",
              "152 2020-03-15   15      3  ...             2            1   5.405405\n",
              "151 2020-03-16   16      3  ...             4            1   8.333333\n",
              "150 2020-03-17   17      3  ...             4            1   6.666667\n",
              "148 2020-03-19   19      3  ...             5            1   6.849315\n",
              "147 2020-03-20   20      3  ...             6            1   7.317073\n",
              "146 2020-03-21   21      3  ...             9            1   9.574468\n",
              "144 2020-03-23   23      3  ...            14            1  13.725490\n",
              "143 2020-03-24   24      3  ...            16            1   8.465608\n",
              "142 2020-03-25   25      3  ...            16            1   6.926407\n",
              "141 2020-03-26   26      3  ...            16            1   6.060606\n",
              "140 2020-03-27   27      3  ...            20            1   6.557377\n",
              "138 2020-03-29   29      3  ...            25            1   6.112469\n",
              "137 2020-03-30   30      3  ...            28            1   6.167401\n",
              "136 2020-03-31   31      3  ...            30            1   5.870841\n",
              "135 2020-04-01    1      4  ...            34            1   5.821918\n",
              "134 2020-04-02    2      4  ...            57            1   6.729634\n",
              "120 2020-03-27   27      3  ...             3            1   1.339286\n",
              "119 2020-03-28   28      3  ...             3            1   1.123596\n",
              "\n",
              "[50 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TPI4ljqRdS7T",
        "colab_type": "text"
      },
      "source": [
        "# Compare Virus Propagation Mexico vs Spain, Italy and EU By days\n",
        "Compare COVIT-19 propagation in Mexico with Spain, Italy and EU"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qT7SRCQxVHix",
        "colab_type": "code",
        "outputId": "451f29fa-1eab-4b55-d3bd-77d8e4fa69dd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "# Filter by country\n",
        "mexico = data[(data['Country'] == 'Mexico')]\n",
        "spain = data[(data['Country'] == 'Spain')]\n",
        "spain = spain[spain['Id'] < len(mexico) ]\n",
        "eu = data[(data['Country'] == 'United_States_of_America')]\n",
        "eu = eu[eu['Id'] < len(mexico) ]\n",
        "italy = data[(data['Country'] == 'Italy')]\n",
        "italy = italy[italy['Id'] < len(mexico) ]\n",
        "colombia = data[(data['Country'] == 'Colombia')]\n",
        "colombia = colombia[colombia['Id'] < len(mexico) ]\n",
        "argentina = data[(data['Country'] == 'Argentina')]\n",
        "argentina = argentina[argentina['Id'] < len(mexico) ]\n",
        "brazil = data[(data['Country'] == 'Brazil')]\n",
        "brazil = brazil[brazil['Id'] < len(mexico) ]\n",
        "germany = data[(data['Country'] == 'Germany')]\n",
        "germany = germany[germany['Id'] < len(mexico)]\n",
        "japan = data[(data['Country'] == 'Japan')]\n",
        "japan = japan[japan['Id'] < len(mexico)]\n",
        "france = data[(data['Country'] == 'France')]\n",
        "france = france[france['Id'] < len(mexico)]\n",
        "\n",
        "#result_compare = mexico.merge(spain, left_on=['Id'], right_on=['Id'], suffixes=('', '_es'))\n",
        "#result_compare = result_compare.loc[::,['Id','Period','Country','Cases','Deaths','Total_Cases','Total_Deaths','Period_es','Country_es','Cases_es','Deaths_es','Total_Cases_es','Total_Deaths_es']]\n",
        "#result_compare = result_compare.merge(eu, left_on=['Id'], right_on=['Id'], suffixes=('', '_eu'))\n",
        "#result_compare = result_compare.loc[::,['Id','Period','Country','Cases','Deaths','Total_Cases','Total_Deaths','Period_es','Cases_es','Deaths_es','Total_Cases_es','Period_eu','Cases_eu','Deaths_eu','Total_Cases_eu','Total_Deaths_eu']]\n",
        "#result_compare = result_compare.merge(italy, left_on=['Id'], right_on=['Id'], suffixes=('', '_it'))\n",
        "#result_compare = result_compare.loc[::,['Id','Period','Country','Cases','Deaths','Total_Cases','Total_Deaths','Period_es','Cases_es','Deaths_es','Total_Cases_es','Cases_eu','Deaths_eu','Total_Cases_eu','Total_Deaths_eu','Period_it','Cases_it','Deaths_it','Total_Cases_it','Total_Deaths_it']]\n",
        "\n",
        "ax = plt.gca()\n",
        "\n",
        "mexico.plot(kind='line',x='Id',y='Total_Cases', color='green', ax=ax, label=\"Mexico\", title='Cases of Mexico vs other countries', figsize=(20,5))\n",
        "# spain.plot(kind='line',x='Id',y='Total_Cases', color='red', ax=ax, label=\"España\")\n",
        "france.plot(kind='line',x='Id',y='Total_Cases', color='blue', ax=ax, figsize=(20,5), label=\"Francia\")\n",
        "eu.plot(kind='line', x='Id',y='Total_Cases', color='orange', ax=ax, label=\"EU\")\n",
        "colombia.plot(kind='line',x='Id',y='Total_Cases', color='purple', ax=ax, label=\"Colombia\")\n",
        "argentina.plot(kind='line',x='Id',y='Total_Cases', color='gray', ax=ax, label=\"Argentina\")\n",
        "brazil.plot(kind='line',x='Id',y='Total_Cases', color='yellow', ax=ax, label=\"Brazil\")\n",
        "# germany.plot(kind='line',x='Id',y='Total_Cases', color='pink', ax=ax, label=\"Alemania\")\n",
        "japan.plot(kind='line',x='Id',y='Total_Cases', color='brown', ax=ax, label=\"Japon\")\n",
        "\n",
        "ax.set_xlabel(\"Time propagation days\")\n",
        "ax.set_ylabel(\"Cases\")\n",
        "ax.can_zoom()\n",
        "plt.show()\n",
        "\n",
        "ax = plt.gca()\n",
        "\n",
        "mexico.plot(kind='line',x='Id',y='Total_Deaths', color='green', ax=ax, label=\"Mexico\", title='Deaths Mexico vs other countries', figsize=(20,5))\n",
        "spain.plot(kind='line',x='Id',y='Total_Deaths', color='red', ax=ax, label=\"España\")\n",
        "france.plot(kind='line',x='Id',y='Total_Deaths', color='blue', ax=ax, label=\"Francia\")\n",
        "germany.plot(kind='line',x='Id',y='Total_Deaths', color='pink', ax=ax, label=\"Alemania\")\n",
        "eu.plot(kind='line', x='Id',y='Total_Deaths', color='orange', ax=ax, label=\"EU\")\n",
        "colombia.plot(kind='line',x='Id',y='Total_Deaths', color='purple', ax=ax, label=\"Colombia\")\n",
        "argentina.plot(kind='line',x='Id',y='Total_Deaths', color='gray', ax=ax, label=\"Argentina\")\n",
        "brazil.plot(kind='line',x='Id',y='Total_Deaths', color='yellow', ax=ax, label=\"Brazil\")\n",
        "japan.plot(kind='line',x='Id',y='Total_Deaths', color='brown', ax=ax, label=\"Japon\")\n",
        "\n",
        "ax.set_xlabel(\"Time deaths days\")\n",
        "ax.set_ylabel(\"Cases\")\n",
        "ax.can_zoom()\n",
        "plt.show()\n",
        "\n",
        "ax = plt.gca()\n",
        "\n",
        "mexico.plot(kind='line',x='Id',y='Impact', color='green', ax=ax, label=\"Mexico\", title='Virus Impact', figsize=(20,5))\n",
        "spain.plot(kind='line',x='Id',y='Impact', color='red', ax=ax, label=\"España\")\n",
        "france.plot(kind='line',x='Id',y='Impact', color='blue', ax=ax, label=\"Francia\")\n",
        "germany.plot(kind='line',x='Id',y='Impact', color='pink', ax=ax, label=\"Alemania\")\n",
        "eu.plot(kind='line', x='Id',y='Impact', color='orange', ax=ax, label=\"EU\")\n",
        "colombia.plot(kind='line',x='Id',y='Impact', color='purple', ax=ax, label=\"Colombia\")\n",
        "argentina.plot(kind='line',x='Id',y='Impact', color='gray', ax=ax, label=\"Argentina\")\n",
        "brazil.plot(kind='line',x='Id',y='Impact', color='yellow', ax=ax, label=\"Brazil\")\n",
        "japan.plot(kind='line',x='Id',y='Impact', color='brown', ax=ax, label=\"Japon\")\n",
        "\n",
        "ax.set_xlabel(\"Time impact by day\")\n",
        "ax.set_ylabel(\"Cases\")\n",
        "ax.can_zoom()\n",
        "plt.show()\n",
        "\n",
        "mexico.head(50)\n",
        "\n",
        "#result_compare.head(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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lzLZZs2bRqVOnHFVUN/maSpIkSap6EZhMCpWGAx8CTUnT4AYB/YBt++O7pM8n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\nEkwRERERERERETGQ/wFcUwvhXMO7HAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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NpDZt4K9/9bsakeAHSWZ2BvAeMMY5t8fMXgEeBlzg9Slg2An0NwIYAXD22fmP\nDDreyKFgmDVrFoMGDcpc9wigS5cubNy4MfPz5ZdfziuvvEK3bt2IiIjghx9+oE6dgmdmKSkpmftP\nnTr1hOpLSUmhRo0aREREsGDBAjZs2HBCx4uIiIiIiEgRcQ5GjICUFJg/H047ze+KRIL71DYzi8AL\nkd52zs0GcM5tdc5lOOcOA6/hTV8D2AzUy3Z43cC2HJxzk5xzsc652OrVqwez/JMSFxdH3759c2y7\n5pprePTRRzM/Dx8+nBYtWtCuXTtatWrFrbfemmvkUH7Gjx/PddddR/v27alWrdoJ1XfjjTeSkJBA\ndHQ006ZNo1mzZid0vIiIiIiIiBSRN9+EuXPh0UehVSu/qxEBwJxzwenYW715KrDTOTcm2/azAusn\nYWZ3A+c65/qbWUvgHbxgqTbwBXBOfottx8bGuoSEhBzb1qxZQ/PmzQv9ekoz3VMREREREZEi9vPP\n0Lo1xMbCF19AWFDHgYjkYGaJzrnYvNqCObWtEzAIWGlmSYFt44ABZhaDN7UtGbgVwDn3nZn9E1iN\n98S3O0riE9tERERERERETklGBgwe7IVHU6YoRJJiJZhPbVsE5PVM+Y/zOeYR4JFg1SQiIiIiIiJS\n7D31FCxaBFOnQv36flcjkoNiTREREREREZHiYsUK+Mtf4JprYNAgv6sRyUVBkoiIiIiIiEhx8Pvv\nXnhUpQq8+ipYXpN8RPwVzDWSRERERERERKSgHngAVq6Ejz6CE3xCt0hR0YgkEREREREREb99+SU8\n+STceiv07Ol3NSLHpCApCMLDw4mJicn8eeyxxwCIiopi+/btmfvFx8fTq1cvv8oUERERERGR4mDP\nHhgyBBo18sIkkWJMU9uCoFy5ciQlJfldhoiIiIiIiJQEo0fDxo3w1Vdwxhl+VyOSL41IEhERERER\nEfHLnDkwZQqMGwfnned3NSLHpSApCA4cOJBjatvMmTP9LklERERERESKm19/hREjoF07ePBBv6sR\nKZDQntqWOAZ2FfIUs8ox0P7ZfHc51tQ2y+PRjXltExERERERkRDnHNxyC6SmwvTpEBHhd0UiBaIR\nSUWoatWq7Nq1K/Pzzp07qaZHOoqIiIiIiJQ+r78OH34Ijz0GLVr4XY1IgYX2iKTjjBwqal27dmX6\n9OlMmDCBjIwM3nrrLfr06eN3WSIiIiIiIlKUfvwR7r4buneHO+/0uxqRE6IRSUFw9BpJY8eOBeCB\nBx5g/fr1tGnThrZt29K4cWMGDhzoc7UiIiIiIiJSZDIyYPBgKFMG3nwTwvRnuZQsoT0iyScZGRl5\nbq9YsSLvvPNOEVcjIiIiIjkBDp8AACAASURBVCIixcYTT8DXX8Pbb0O9en5XI3LCFH2KiIiIiIiI\nFIXly72ns11/PQwY4Hc1IidFQZKIiIiIiIhIsKWlwcCBUL06vPIK6AneUkJpapuIiIiIiIhIsI0b\nB6tXwyefQJUqflcjctI0IklEREREREQkmObPh2eegZEj4fLL/a5G5JQoSBIREREREREJlt27YehQ\naNLEW2hbpITT1DYRERERERGRYLnrLvjf/7wntZUv73c1IqdMI5KC5Ndff6V///40atSI9u3b07Nn\nT3744Yc8901OTqZVq1aFct6uXbuSkJCQa/u8efN47LHHCuUcIiIiIiIiUgCzZsH06fCXv0DHjn5X\nI1IoNCIpCJxz9O3blyFDhjBjxgwAVqxYwdatW2nSpIkvNfXu3ZvevXv7cm4REREREZFSZ8sWuPVW\niI2FP//Z72pECo1GJAXBggULiIiI4Lbbbsvc1qZNGzp37sy9995Lq1atiI6OZubMmbmOTUtL46ab\nbiI6Opq2bduyYMECAKZMmUKfPn249NJLiYqK4sUXX+Tpp5+mbdu2nHfeeezcuTOzj+nTpxMTE0Or\nVq1YsmRJ5vGjRo0C4IMPPuDcc8+lbdu2XHLJJWzdujWYt0NERERERKR0cQ5uvhkOHIC33oKICL8r\nEik0CpKCYNWqVbRv3z7X9tmzZ5OUlMSKFSv4/PPPuffee9myZUuOfV566SXMjJUrVxIXF8eQIUNI\nS0vL7Hf27NksXbqUP//5z5x++uksX76c888/n2nTpmX2sX//fpKSknj55ZcZNmxYrjo6d+7MN998\nw/Lly+nfvz9PaME3ERERERGRwjNxIvzrX97i2k2b+l2NSKEK6altn4z5hF+Tfi3UPmvF1KLHsz1O\n6thFixYxYMAAwsPDqVmzJl26dGHp0qW0bt06xz533nknAM2aNaN+/fqZaytdfPHFVKhQgQoVKlCx\nYkWuvPJKAKKjo/n2228z+xgwYAAAF110EXv27GH37t056ti0aRP9+vVjy5YtHDx4kAYNGpzU9YiI\niIiIiMhR1q2De+6Byy6DkSP9rkak0GlEUhC0bNmSxMTEQu+3bNmyme/DwsIyP4eFhZGenp7ZZmY5\njjv685133smoUaNYuXIlEydOzBzxJCIiIiIiIqcgPR0GDYKyZeGNNyBMf3JL6AnpEUknO3LoVHXr\n1o1x48YxadIkRowYAcC3335LpUqVmDlzJkOGDGHnzp0sXLiQf/zjHzmCnAsvvJC3336bbt268cMP\nP/DLL7/QtGlTli1bVuDzz5w5k4svvphFixZRsWJFKlasmKM9JSWFOnXqADB16tRCuGIRERERERHh\n0Ufhv/+FGTMg8DeXSKgJ6SDJL2bGnDlzGDNmDI8//jiRkZFERUXx7LPPkpqaSps2bTAznnjiCWrV\nqkVycnLmsSNHjuT2228nOjqaMmXKMGXKlBwjkQoiMjKStm3bcujQId54441c7ePHj+e6666jcuXK\ndOvWjZ9//vlUL1lERERERKR0S0iACRNgwADo18/vakSCxpxzftdw0mJjY11CQkKObWvWrKF58+Y+\nVRSadE9FRERERETyceAAtGsHe/fCypVQubLfFYmcEjNLdM7F5tWmEUkiIiIiIiIip2LsWFi7Fj77\nTCGShDyt/CUiIiIiIiJysj77DJ5/Hu66Cy65xO9qRIJOQZKIiIiIiIjIydi1C266CZo1g8ce87sa\nkSIRtCDJzOqZ2QIzW21m35nZ6MD2Kmb2mZmtC7xWDmw3M3vezNab2bdm1i5YtYmIiIiIiIicsjvu\ngK1bYfp0KFfO72pEikQwRySlA/c451oA5wF3mFkLYCzwhXPuHOCLwGeAPwDnBH5GAK8EsTYRERER\nERGRkzdjBsTFwYMPQmyeaxKLhKSgBUnOuS3OuWWB93uBNUAd4CpgamC3qUCfwPurgGnO8w1QyczO\nClZ9IiIiIiIiIidl82a4/XY491y4/36/qxEpUkWyRpKZRQFtgf8CNZ1zWwJNvwI1A+/rABuzHbYp\nsK1Eev/99zEz1q5dG/RzJSUl8fHHH2d+njdvHo9pfq6IiIiIiEjhO3zYWxfp4EFvSlsZPQxdSpeg\nB0lmdgbwHjDGObcne5tzzgHuBPsbYWYJZpawbdu2Qqy0cMXFxdG5c2fi4uJytaWnpxfquY4Oknr3\n7s3YsWPzOUJEREREREROyssve09qe+opOOccv6sRKXJBDZLMLAIvRHrbOTc7sHnrkSlrgdffAts3\nA/WyHV43sC0H59wk51yscy62evXqwSv+FKSmprJo0SImT57MjBkzAIiPj+fCCy+kd+/etGjRgsOH\nDzNy5EiaNWvGpZdeSs+ePZk1axYAiYmJdOnShfbt23P55ZezZYs3gKtr167cd999dOzYkSZNmvCf\n//yHgwcP8uCDDzJz5kxiYmKYOXMmU6ZMYdSoUQAMHTqUu+66iwsuuICGDRtmniM1NZXu3bvTrl07\noqOjmTt3rg93SkREREREpARZuxb+9Cf4wx/g1lv9rkbEF8F8apsBk4E1zrmnszXNA4YE3g8B5mbb\nPjjw9LbzgJRsU+BKlLlz59KjRw+aNGlC1apVSUxMBGDZsmU899xz/PDDD8yePZvk5GRWr17N9OnT\nWbx4MQCHDh3izjvvZNasWSQmJjJs2DD+/Oc/Z/adnp7OkiVLePbZZ/nrX//KaaedxoQJE+jXrx9J\nSUn069cvVz1btmxh0aJFfPjhh5kjlSIjI5kzZw7Lli1jwYIF3HPPPXgDxERERERERCSXQ4dg0CDv\n6WyTJ4OZ3xWJ+CKYkzk7AYOAlWaWFNg2DngM+KeZ3QxsAK4PtH0M9ATWA/uBm061gE8++YRff/31\nVLvJoVatWvTo0SPffeLi4hg9ejQA/fv3Jy4ujl69etGxY0caNGgAwKJFi7juuusICwujVq1aXHzx\nxQB8//33rFq1iksvvRSAjIwMzjora83xq6++GoD27duTnJxcoJr79OlDWFgYLVq0YOvWrQA45xg3\nbhwLFy4kLCyMzZs3s3XrVmrVqlXwmyEiIiIiIlJaPPIIJCTAu+/CWXoulJReQQuSnHOLgGNFtN3z\n2N8BdwSrnqKyc+dO5s+fz8qVKzEzMjIyMDOuuOIKypcvf9zjnXO0bNkyc4TS0cqWLQtAeHh4gdda\nOnLMkf4B3n77bbZt20ZiYiIRERFERUWRlpZWoP5ERERERERKlSVL4G9/80YkXXut39WI+Cqkl5c/\n3sihYJg1axaDBg1i4sSJmdu6dOnCf/7znxz7derUialTpzJkyBC2bdtGfHw8N9xwA02bNmXbtm0s\nXryY888/n0OHDvHDDz/QsmXLY56zQoUK7N2794TqTElJoUaNGkRERLBgwQI2bNhwYhcqIiIiIiJS\nGuzbBwMHQu3a8MILflcj4rugP7WttImLi6Nv3745tl1zzTW5nt52zTXXULduXVq0aMHAgQNp164d\nFStW5LTTTmPWrFncd999tGnThpiYGL7++ut8z3nxxRezevXqzMW2C+LGG28kISGB6Ohopk2bRrNm\nzU7sQkVEREREREqDP/0J1q2DqVOhYkW/qxHxnZXkBZZjY2NdQkJCjm1r1qyhefPmPlV0YlJTUznj\njDPYsWMHHTt25KuvviqWaxSVpHsqIiIiIiJSaD75xHtC2913w9NPH39/kRBhZonOudi82kJ6altx\n16tXL3bv3s3Bgwd54IEHimWIJCIiIiIiUirt2AHDhkGLFvD3v/tdjUixoSDJR/Hx8X6XICIiIiIi\nIkdzDm6/HbZvh48+gshIvysSKTYUJImIiIiIiIhk98478O673kiktm39rkakWNFi2yIiIiIiIiJH\nbNwId9wBF1zgLbQtIjkoSBIREREREREBOHwYhg6F9HSYNg3Cw/2uSKTY0dQ2EREREREREYAXXoD5\n82HSJGjUyO9qRIoljUgKgvDwcGJiYmjTpg3t2rXj66+/LpR+hw8fzurVqwGIiopi+/bthdKviIiI\niIhIqbd6Ndx3H/TqBcOH+12NSLGlEUlBUK5cOZKSkgD49NNPuf/++/nyyy9z7JOenk6ZMid2+19/\n/fVCq1FEREREREQCDh6EQYOgQgV4/XUw87sikWJLI5KCbM+ePVSuXBmA+Ph4LrzwQnr37k2LFi0A\n6NOnD+3bt6dly5ZMmjQJgHnz5hETE0NMTAxNmzalQYMGAHTt2pWEhAR/LkRERERERCRUTZgAy5Z5\nU9pq1vS7GpFiTSOSguDAgQPExMSQlpbGli1bmD9/fmbbsmXLWLVqVWY49MYbb1ClShUOHDhAhw4d\nuOaaa+jduze9e/cG4Prrr6dLly6+XIeIiIiIiEjIW7wYHn3UW2S7b1+/qxEp9kI8SBoDJBVynzHA\ns/nukX1q2+LFixk8eDCrVq0CoGPHjpkhEsDzzz/PnDlzANi4cSPr1q2jatWqADzxxBOUK1eOO+64\no5CvQUREREREREhN9aa01asHzz3ndzUiJUKIB0n+O//889m+fTvbtm0DoHz58plt8fHxfP755yxe\nvJjTTz+drl27kpaWBsDnn3/Ou+++y8KFC32pW0REREREJOT98Y/w008QHw9nnul3NSIlQogHSfmP\nHCoKa9euJSMjI3OUUXYpKSlUrlyZ008/nbVr1/LNN98AsGHDBu644w4+/fRTypUrV9Qli4iIiIiI\nhL6PPoKJE+Hee+Gii/yuRqTECPEgyR9H1kgCcM4xdepUwsPDc+3Xo0cPXn31VZo3b07Tpk0577zz\nAJgyZQo7duygT58+ANSuXZuPP/646C5AREREREQklG3fDjffDNHR8PDDflcjUqKYc87vGk5abGys\nO/opZmvWrKF58+Y+VRSadE9FRERERCRkOAfXXgsffghLl0Lr1n5XJFLsmFmicy42r7awk+gszMw0\neVRERERERERKnunTYfZsbySSQiSRE1agIMnM3jGzM82sPLAKWG1m9wa3NBEREREREZFCtGEDjBoF\nF14I99zjdzUiJVJBRyS1cM7tAfoA/wIaAIOCVpWIiIiIiIhIYTp8GIYM8aa2TZ0KeaxjKyLHV9Ag\nKcLMIvCCpHnOuUNAyV1cSUREREREREqXZ56BL7+E55+HBg38rkakxCpokDQRSAbKAwvNrD6wJ1hF\niYiIiIiIiBSaVatg3Di46ioYOtTvakRKtDIF2ck59zzwfLZNG8zs4uCUJCIiIiIiIlJIfv8dBg6E\nSpVg0iQw87sikRKtoItt1zSzyWb2r8DnFsCQoFZWwp1xxhl+lyAiIiIiIiLjx8OKFfDaa1Cjht/V\niJR4BZ3aNgX4FKgd+PwDMCYYBYmIiIiIiIgUikWL4PHH4eaboXdvv6sRCQkFDZKqOef+CRwGcM6l\nAxlBqypEpKam0r17d9q1a0d0dDRz584FIDk5mWbNmnHjjTfSvHlzrr32Wvbv3w/AF198Qdu2bYmO\njmbYsGH8/vvvAERFRfHQQw9l9rV27VrfrktERERERKTY27sXBg+GqChvoW0RKRQFDZL2mVlVAk9q\nM7PzgJSgVRUiIiMjmTNnDsuWLWPBggXcc889OOc97O77779n5MiRrFmzhjPPPJOXX36ZtLQ0hg4d\nysyZM1m5ciXp6em88sormf1Vq1aNZcuWcfvtt/Pkk0/6dVkiIiIiIiLF3913Q3IyTJsGFSr4XY1I\nyCjQYtvA/wHzgEZm9hVQHbg2aFUVksRHH2XX998Xap+Vmzal/f33F2hf5xzjxo1j4cKFhIWFsXnz\nZrZu3QpAvXr16NSpEwADBw7k+eef59JLL6VBgwY0adIEgCFDhvDSSy8xZow3i/Dqq68GoH379sye\nPbtQr0tERERERCRkzJsHkyfD2LHQubPf1YiElII+tW2ZmXUBmgIGfO+cOxTUykLA22+/zbZt20hM\nTCQiIoKoqCjS0tIAsKOeFHD057yULVsWgPDwcNLT0wu/YBERERERkZLut99g+HBo0wb++le/qxEJ\nOQUKkszsOuAT59x3ZvYXoJ2Z/c05tyy45Z2ago4cCpaUlBRq1KhBREQECxYsYMOGDZltv/zyC4sX\nL+b888/nnXfeoXPnzjRt2pTk5GTWr19P48aNmT59Ol26dPHxCkREREREREoQ52DECEhJgfnz4bTT\n/K5IJOQUdI2kB5xze82sM9AdmAy8kt8BZvaGmf1mZquybRtvZpvNLCnw0zNb2/1mtt7Mvjezy0/m\nYoqL9PR0ypYty4033khCQgLR0dFMmzaNZs2aZe7TtGlTXnrpJZo3b86uXbu4/fbbiYyM5M033+S6\n664jOjqasLAwbrvtNh+vREREREREpAR5802YOxf+/ndo1crvakRCUkHXSDryhLYrgNeccx+Z2d+O\nc8wU4EVg2lHbn3HO5Vgp2sxaAP2BlkBt4HMza+KcK5FPhvvuu+9o1KgR1apVY/Hixbnak5OTKVOm\nDG+99Vautu7du7N8+fI8jzkiNjaW+Pj4wixZRERERESkZPv5Zxg9Grp29RbaFpGgKOiIpM1mNhHo\nB3xsZmWPd6xzbiGws4D9XwXMcM797pz7GVgPdCzgscXKq6++yoABA/jb346Xs4mIiIiIiEihyMiA\nwYMhLAymTPFeRSQoCvpf1/XAp8DlzrndQBXg3pM85ygz+zYw9a1yYFsdYGO2fTYFtpU4t912G6tX\nr+ayyy475j5RUVGsWrXqmO0iIiIiIiJyAp56ChYtghdegPr1/a5GJKQVKEhyzu13zs0GUszsbCAC\nWHsS53sFaATEAFuAp060AzMbYWYJZpawbdu2kyhBREREREREQsaKFfCXv8DVV8OgQX5XIxLyChQk\nmVlvM1sH/Ax8GXj914mezDm31TmX4Zw7DLxG1vS1zUC9bLvWDWzLq49JzrlY51xs9erVj3WeEy1N\njkH3UkREREREiq20NC88qlIFJk4EM78rEgl5BZ3a9jBwHvCDc64BcAnwzYmezMzOyvaxL3Bkftc8\noL+ZlTWzBsA5wJIT7R8gMjKSHTt2KAApBM45duzYQWRkpN+liIiIiIiI5PbAA7ByJUyeDNWq+V2N\nSKlQ0Ke2HXLO7TCzMDMLc84tMLNn8zvAzOKArkA1M9sEPAR0NbMYwAHJwK0AzrnvzOyfwGogHbjj\nZJ/YVrduXTZt2oSmvRWOyMhI6tat63cZIiIiIiIiOX35pbc20q23whVX+F2NSKlhBRm5Y2afA32A\nR4FqwG9AB+fcBcEtL3+xsbEuISHBzxJERERERESkqO3ZA61bQ5kykJQEZ5zhd0UiIcXMEp1zsXm1\n5TsiycwaAzWBq4ADwN3AjUB94M5CrlNERERERETk+EaPho0bvSe1KUQSKVLHWyPpWWCPc26fc+6w\ncy7dOTcVmAOMD3p1IiIiIiIiItnNmQNTpsD998P55/tdjUipc7wgqaZzbuXRGwPbooJSkYiIiIiI\niEhefv0VRoyAdu3gwQf9rkakVDpekFQpn7ZyhVmIiIiIiIiIyDE5B7fcAnv3wvTpcNppflckUiod\nL0hKMLNbjt5oZsOBxOCUJCIiIiIiInKU11+HDz+Exx+HFi38rkak1Mp3sW1gDDDHzG4kKziKBU4D\n+gazMBERERERESnFdu2C9eth3Trv5x//gO7d4U4990mKkzRgBbAEWAo8Dpzla0XBlm+Q5JzbClxg\nZhcDrQKbP3LOzQ96ZSIiIiIiIhLadu7MCouOft25M+e+rVrBm29C2PEm1ogESwawhqzQaCnwLXAo\n0F4LGEmpDpKOcM4tABYEuRYREREREREJNTt2HDss2rUraz8zqFcPGjeG667zXhs3hnPOgYYNoZyW\n6ZWi5IBkvLDoSHCUCOwLtJ8JdADuAToG3tcBrKgLLXIFCpJERERERERE8uRc7rAo+/ujw6Kzz/YC\nouuv90Ki7GFRZKR/1yGl3G/kDI2WAtsDbWWBGGAYXmDUETiH4y87HZoUJImIiIiIiEj+nIPt248d\nFu3enbWvGdSv7wVE/frlDIsaNFBYJMXAXrzRRdmDow2BtjCgBdAbLzTqAETjLRUtoCBJRERERERE\nwAuLtm3LHRIdeU1Jydo3LCwrLBowIHdYVLasf9chksPveOsYHRlltARvnSMXaG8AnAvciRcatQPO\nKPoySxAFSSIiIiIiIqWFc/Dbb8cOi/bsydr3SFh0zjlw7rk5w6KoKIVFUgwdBr4na5TRErwnqh0M\ntFfHm5Z2feA1NrBNToSCJBERERERkVByJCzKa3Hr9eth796sfcPCvFDonHPg/PNzh0WnaTqPFFcO\n2EjO0CgRb9oaeKOKYoHRZC2GfTalYTHsYFOQJCIiIiIiUtI4B1u3HjssSk3N2jc8PCss6tQpZ1hU\nv77CIikhdpBzTaMleAtkA0TgLYY9iKzFsJsC4UVfZimgIElERERERKQ4cg5+/TV3SHTk5+iwqEED\nLxy68MKssKhxYy9Eiojw7TJETtw+YBk5n6D2U6DNgGbAH8gKjVrjPVlNioKCJBEREREREb84B1u2\nHDss2rcva98yZbLCoosuyhpV1LixN7JIYZGUSIeAleQcbfQd3npH4E1H6wjcihcctQfOLPoyJZOC\nJBERERERkWA6fDhnWHR0YLR/f9a+ZcpAw4ZeQNS1a+6wqIz+hJOS7DCwjpxPUEsC0gLtVfHCor6B\n1w5AzaIvU/Klf4VEREREREQK0/ffw8yZkJSUFRYdOJDVHhGRFRZ165YzLDr7bIVFEkI2k3NNowQg\nJdB2Ot7oopFkLYbdAC2GXfzpXygREREREZFTtWmTFx698w4sWwZm0KSJFxBdcknusChciwBLqNlF\nzpFGS4EtgbYyeOsY9ScrNGqOIomSSd+aiIiIiIjIydi5E957zwuPvvzSW+8oNhaefhr69YPatf2u\nUCRIDgDLyTnaaH229iZAd7IWw24DlCviGiVYFCSJiIiIiIgU1L598MEHXnj0ySdw6JA38mj8eBgw\nwBt1JBJS0vEWv87+BLWVQEagvQ5eWDQs8NoeqFT0ZUqRUZAkIiIiIiKSn0OH4LPPvPDo/fe9MKlO\nHbjrLrjhBmjb1pvKJlLiOeBHck5PW4Y3Agm8gKgjMJasxbA18q60UZAkIiIiIiJytMOH4auv+P/2\n7jzMkqs+8/z3F3GX3GvfVKXSgmQJtKNCQmCxWJYRYCxjgRAI47aZwe7Ggw3TY6CNn3bbPRiP/fhp\n3NhMM25j95iSxCaD2WlGxjy2CySBEEICIwtJtS9ZW1Zm3i3izB8nbkbcLfNWVmbem5nvhyeI5URE\nnsy6ysz75jm/4J574OMfh/FxWLcO7r7bh0c33wxB0OteipyjgzSGRg/iax0BDADPB36VdIrac1Ax\nbFGQJCIiIiIiAr7G0aOP+pFH99wDe/fC4CDcfrsPj17xCigUet1LkXk6hX9qWjY42pe0hcCVwB2k\nxbCvAPJL303pewqSRERERERkdXvqKR8c7d4Njz/un6j2ilfAH/yBD5FGRnrdQ5GzVAIeoTE0+mGm\n/RLgZtKRRtcBQ0vcR1muFCSJiIiIiMjqc/iwn7K2ezfs2eOP3XwzfPjD8LrXwcaNve2fSNci4Aka\nn6D2KL5INsBWfFj05mS9C1i/9N2UFUNBkoiIiIiIrA6nTsH99/vw6Gtf83WQrrkG/vAP4a67YOfO\nXvdQZA4OeJrG0OjbwGTSPoYfZfTvSaeobUd1jWQhKUgSEREREZGVq1SCL3zBh0ef+xyUy3DxxfDe\n98Ib3whXXNHrHorM4jBpEex6cDSetBXxU9J+hTQ0uhRQEXhZXAqSRERERERkZanV4IEHfN2jT30K\nTp+GzZvhV3/VF82+4QYwjdCQfjMBPEzjaKNnk7YAX/z6dtK6RlcCKv4uS09BkoiIiIiILH/Owbe+\n5Uce3Xefr4E0Ogp33OHDo5e/HHJ6+yP9ooyvY1QPjR7E1zlySftFwE3AO0iLYavou/QHfScVERER\nEZHl64knfHi0e7d/+lqxCK9+tQ+PXvUqGBzsdQ9l1YvwT0zLPkHtu0Alad+MD4veQFoMW8XepX8t\nWpBkZn8J/CxwxDl3ZXJsPXAfcCG+QtidzrkTZmbAB4FXAVPAv3HOfXux+iYiIiIiIsvY3r1w770+\nPHrkEQgCuOUW+J3fgde+Ftas6XUPZdVy+Olo2dDoYfy0NYBR4HrgN0mnqJ2PimHLcrKYI5L+CvgQ\n8D8yx94DfM059wEze0+y/27glfiqYJcCNwIfTtYiIiIiIiJw7Bh88pM+PPrGN/yxG2+ED34Q7rwT\ntm7tbf9klTpGYyHsB4EjSVsBuAZ4Cz40egFwGRAufTdFFtCiBUnOuX8wswubDt8OvCzZ/mvg7/FB\n0u3A/3DOOWCPma01s23OuYOL1T8REREREelzZ87AZz/rw6Mvf9kX0X7uc+H3f98/ce05z+l1D2VV\nOQN8m8bQ6MdJmwHPxY+RqD9B7Wr8k9VEVpalrpG0JRMOHQK2JNvbgb2Z8/YlxxQkiYiIiIisJpWK\nD43uuQc+8xmYmoLzz4d3vcvXPbr6aj1xTZZAFfgejU9QexyIk/YL8GHRv03W1+OnrYmsfD0rtu2c\nc2bm5j6zkZm9DXgbwM6dOxe8XyIiIiIissTi2E9X270bPvEJOHECNmyAt7zFh0cvfrGvgySyKGLg\nRzSGRo/gn6wGvvD1C4A7SKeobV76bor0iaUOkg7Xp6yZ2TbSyaP78RXG6nYkx1o45z4CfARg165d\nZx1EiYiIiIhIH3DOF8revduPPtq/H4aH4ed/3odHt94K+XyveykrjsO/1cxOT3sIOJW0D+NHF/06\n6RS1C1ExbJHUUgdJnwV+CfhAsv5M5vivm9m9+CLbp1QfSURERERkBfrRj3xwdM898IMfQC4Hr3wl\n/PEfw2te48MkkQVzHB8UZUcbHUracvhi2G8kDY2ei4phi8xu0YIkM7sHX1h7o5ntA/4jPkD6uJm9\nFXgGuDM5/QvAq4AnraBSoQAAIABJREFUgSnglxerXyIiIiIissQOHoT77vOjjx580Nc4eslL4J3v\nhDvu8NPYRM7ZFPAdGkcbPZlpvxy4lTQ0ugYYWOI+iix/i/nUtjd2aLqlzbkOePti9UVERERERJbY\nyZPw6U/78OiBB3wdpOc/3488esMbYMeOXvdQlrUa8BiNodFjQJS078AHRm9N1tcDa5a+myIrUM+K\nbYuIiIiIyAozPQ2f/7wPjz7/ef8Etksugfe9D974Rrj88l73UJalCfzIoidIg6PvANNJ+zp8WPQa\n0tFGW5e+myKrhIIkERERERGZv1oNvvY1Hx7dfz9MTMC2bfD2t/vwaNcuP5VNZFan8WHRj9qsj2TO\nG8SPLvo1fGB0A3AxKoYtsnQUJImIiIiIyNlxDvbs8eHRfffB0aOwZg3cead/4tpLXwqhChZLs1O0\nD4uepDEsAtgOXAL8XLK+BPgJfDFsvY0V6SX9FygiIiIiIt157DEfHt1zDzz9NAwM+CetvelN/slr\nxWKveyg9d5LOYdHRpnN34AOi20nDokvxI4z09D6RfqUgSUREREREOnv6abj3Xh8gfe97fqTRrbfC\n7/0e3H47jI31uoey5E7QOSw61nTu+fiA6OfxIVE2LBpaov6KyEJSkCQiIiIiIo2OHoVPfMKHR//4\nj/7Yi14EH/oQvP71sHlzb/snS+A4ncOi8aZzz8eHQ79Aa1g0uET9FZGloiBJRERERER8key//Vs/\nbe0rX4EogiuvhPe/H+66Cy66qNc9lAU3TmtIVN8+njnPSMOi19EYFl2EwiKR1UVBkoiIiIjIalUu\nw5e+5Ece/d3fwfQ0XHAB/NZv+SeuXXVVr3so58SRhkXtRhedyJxrwE58OHQnrWHRwJL1WkT6m4Ik\nEREREZHVJIrg61/3I48++Uk4eRI2bYJf/mW4+2646SYwPUp9+XD4ukSdwqKTmXMD0rDoLtKw6BL8\nNDQVSxeRuSlIEhERERFZ6ZyDhx/2I4/uvRcOHoSREfiFX/Ajj265BfL5XvdSOnL4J551CotOZc4N\ngAvwIdGbaAyLLkJhkYicKwVJIiIiIiIr1Q9/6Ece7d4NP/oRFArwqlfBm94Er341DOmpWf3DAUfo\nHBadzpwbABfiQ6IXkk5Bq4dFhaXqtIisQgqSRERERERWkv374b77fHj08MN+mtrLXw7vfrcfgbRu\nXa97uIo54DCdw6KJzLkhPiy6BHgRjWHRhSgsEpFeUZAkIiIiIrLcHT8On/qUD4++/nU/lW3XLviT\nP4E3vAHOO6/XPVxlzgCPAj+kNSw6kzkvxI8gugT4SVrDIk03FJH+oyBJRERERGQ5mpryT1rbvRu+\n+EWoVuEnfgJ+93d93aNLL+11D1eJw8B3gEcy6x/hRx+Bf8tVD4teQmNYdAEKi0RkuVGQJCIiIiKy\nXFSr8NWv+rpH998Pk5OwfTu84x2+7tF11+mJa4smBp6iNTQ6mDnnQuA64G7gWuAKfFikt10isnLo\nO5qIiIiISD+LY/inf/Ijjz7+cRgf93WO7r7bh0c33wxB0OterjAV4Ps0hkbfJa1hFALPA27FB0bX\nJeu1S95TEZGlpiBJRERERKTfOAePPupHHt1zDzz7LAwOwu23+/DoFa/wT2CTBXAKHxJlQ6PHgWrS\nPgxcA7yFNDC6AhhY8p6KiPQDBUkiIiIiIv3iqad8cLR7Nzz+OIShD43e/34fIo2M9LqHy5gDDtA4\nLe07+OlqdVvwYdErSUOjSwCN+BIRqVOQJCIiIiLSS4cP+ylru3fDnj3+2M03w5//ObzudbBpU2/7\ntyxF+ILXzaHR0cw5lwDXA28lDY22LW03RUSWIQVJIiIiIiJL7fRpXyx79274n//T10G65hr4wz+E\nu+6CnTt73cNlpAR8jzQs+g7wKDCVtOeBK4HXkNYzuhoYW/KeioisBAqSRERERESWQqkEX/iCD48+\n9zkol+Gii+C974U3vhGuuKLXPVwGjuMDo2xo9AP8CCTw4dC1wP9KGho9F1A9KRFZZNUaTEzCmhE/\nLXkFU5AkIiIiIrJYoggeeMCHR5/6lB+JtHkz/Oqv+qLZN9wAZr3uZR9ywF7SsKgeHD2bOWc7Pix6\nLWlodBGgr6eILLIogjNTcHoSJqZ8gFQq+7ZrLoO1o73t3yJTkCQiIiIispCcg299y4dH993nayCN\njsIdd/jw6OUvh5x+DU/VgB/SGBo9gh99BD4Yugx4EfB2fGB0DbB5yXsqIqtQHMNkyYdF9WVyOm0v\nFmB0CLZthNFhv73C6SeYiIiIiMhCeOIJHx7t3u2fvlYswqtf7cOjV70KBgd73cM+MImvZ5QNjb6H\nr3MEMABcBdyBD4yuS/aHl7ynIrIKOQfT5cbQ6MwUxM6350IfFm1Y69djw1DI97bPPaAgSURERERk\nvvbuhXvv9eHRI49AEMAtt8Dv/A689rWwZk2ve9hDR2msZfQI8C9AnLSvwwdFbyedmnYZeosiIkum\nXEkDo9NJaFRLaq4FAYwMwbbNPjAaHYKBoqYjo+/SIiIiIiJn59gx+OQn4Z574B/+wR+78Ub44Afh\nzjth69be9m/JOeDHNNYyegTYnznnAnxYdBdpaHQ+qmckIkumXgy7XtNoYhIq1bR9ZAg2rUumpw3D\n8KBCow4UJImIiIiIzOXMGfjsZ/3Ioy9/GWo1uPxy+P3f909ce85zet3DJVIBnqA1NDqdtIf4p6S9\nHB8WXZss65e8pyKyikWxH12UnaI2XU7bB4u+IHY9NBoZgjDoXX+XGQVJIiIiIiLtVCrwla/48Ogz\nn4GpKTj/fHjXu3x4dM01K/yv1aeBR2kMjb6PD5MAhvBFr+8mDY2uBFQLSkSWkHO++PVMaDTl911S\n16iQ92HRlo1+itrIEOQVhZwLffVEREREROriGL7xDR8effKTcPw4rF8Pb3mLL5r94hf7uhkrygR+\nGlrz9LQnM+dswodFv0laBPsS/AgkEZEl4hyUyj4sOp0thp3UXqsXwz5/SzraqFjobZ9XIAVJIiIi\nIrK6OecLZe/e7Qtn79sHw8Nw++0+PLr1VigsxzciVeAQcAAfFO1v2q7vTzRddzE+KPol0tBoG6pn\nJCJLrlJNA6P6MlMM25Ji2BvT0GhQxbCXgoIkEREREVmdnnzSF8zevRt+8API5eCVr4Q/+iN4zWt8\nmNSXHHCS2cOh/cDh5NysPHBeslwF3JZsb8cXxL4KWM1PmhORnqnVGgthT0z5p6rVDQ/Cxmwx7IEV\nOEJ0eehJkGRmT+P/9BEBNefcLjNbD9wHXAg8DdzpnDvRi/6JiIiIyAp18CDcd58Pjx580B976Uvh\nne+EO+6ADRt62z/KpEFQp5FEB4DpNtduwAdC2/H1irZnlnpYtBHQGy8R6bG4Xgw7ExxNldL2gSKM\njcDYUKYYtqbS9otejkh6uXPuWGb/PcDXnHMfMLP3JPvv7k3XRERERGTFOHkSPv1pHx498IB/A3Pd\ndX7k0Rve4AtoL7oYOEbn0UP17WNtrh0gDYReQGs4tB0/9WxgUT8DEZF5cc6HRPXA6PRkYzHsfM4X\nwd68Ph1tpGLYfa2f/nVuB16WbP818PcoSBIRERGR+Ziehs9/3odHn/+8fwLbJZfA+97nn7h2+eUL\n+MEmmbsO0QF8zaIsA7bgA6ELgBfRGA7Vw6J1qD6RiCwLzvnpaA11jTLFsMPAB0U7ssWw86prtMz0\nKkhywFfMzAH/zTn3EWCLc+5g0n4I/1NVRERERKQ7tRp87Ws+PLr/fpiYgK1b4d/9O180e9eus3yz\nEuHrDHUaPVTfPtXm2hHSMOglNAZE9e2t+JpFIiLLVKXaGBhNTEK15tssKYa9dSOMDvlRR4MDCo1W\ngF4FST/pnNtvZpuBr5rZD7KNzjmXhEwtzOxtwNsAdu7cufg9FREREZH+5Rzs2ePDo49/HI4cgTVr\n4PWv9+HRy17Wpq6GA04ze6Hq/fi/bcZN14b4aWTbgcuAn6J1mtl2YHThP1cRkV6qRUldo8wUtWwx\n7KEB2LAmUwx7UMWwV6ieBEnOuf3J+oiZ3Q/cABw2s23OuYNmtg040uHajwAfAdi1a1fbsElERERE\nVijnYHwcnnoKPvMZHyA9/TQMDPgnrd39erjtWigew4dBH6J9WDTZ5ubrSAOhK2k/zWwzPkwSEVnB\n4tjXMcpOUWsohl3wI4xGN6fFsHP63rhaLHmQZGbDQOCcm0i2fwb4PeCzwC8BH0jWn1nqvomIiIhI\nj01MwN69fnn22XR7714YfwbYC5vKcD5wvsGfbYerr4FtDsKvA59oc9MCaSh0HfBqWqeZnQcMLcVn\nKCLSX5qLYU9M+ZFH2WLYo8Owab2fojY6DAVNy13NejEiaQtwv/l5kTlgt3PuS2b2IPBxM3sr8Axw\nZw/6JiIiIiKLpVSCffsaw6F6YHToGYj2wrqJJCRKlhuAu3Kww8FY1HRDB5Txhai3AzfSfprZBlSs\nWkT6knN+iV26fbbH2h3v9trpsg+OouT7axD4sGj75mTE0TAUC6prJA2WPEhyzj0FXNPm+Dhwy1L3\nR0REREQWQK0GBw60hkR798L+Z6H8NAwdTwOincBzgVeFfmTRxlrrPaN1EOwE20ljulRfzgOKS/P5\niUjvzSdomTN4qd83bnMuCx/wNB9bSmY+UzdLl2IBtqxP6xoNqRi2zK1XxbZFREREZLmIYzh6tMOU\ns2dh6hnIH4LtrjHnuTmACwLYHEHY9IYpHgJ2+qCIDkFRqKlmIquac36q1fHTcPyU315KZhBYY/DS\n6djM8WD282a99mzOS/pnQZtz6Xy9yAJQkCQiIiKymjkHJ0+2n262dy+ceAaCfbC11pj3XGNwYQ62\nRVBserJZXAC3HcILaByClAmJgjVoupmItKhU4UQSHJ04nT5KfnQYzt8KYdAU2rAwIU27YyLSloIk\nERERkZVscrL9dLO9e+HIM+CehQ3TjXnPS4CLcn6E0XBTXSIXQLwNggvA2k032wnBJhQSiUhXZkYd\nnUpGHU354/kcrBuD9Wtg/RjkVdxZ+khtGkqHYPqQX5cOwfRBv3/l+2B4Z697uKgUJImIiIgsV5UK\n7N/ffsrZwWeh+gyMnWrMea4FXpvzgdHadnWJNmZCojZTzmwbhPoVUkTOQXbU0fHTvsYa+OLOF54H\n69b4gs8aFSRLycVQHveBUDYkathPwqLqqTY3MBjYDM/5XxQkiYiIiEgPRBEcOtRhNNEzUHoGBo7C\nDtK85xLg1hB2JsWrg+Z7jvnC1UE2IMpub4dwYAk/SRFZFZyD05lRR2cyo442rPGjjtaN+X2RhVab\nahwx1BIO1fcPg2t+OiiQG4GBrTC4DdZeDVt/Bga3wsC2ZL2VqfwaxmvGsdJJfmLsJxhe+s9ySem/\nVBEREZGl5hyMj7cpXJ0Ur554BnIHff2h7ICgGwK4MIQtNcg3F68e8CcF2bpE2bBoB4SjS/lZishq\nVqmmwdGJ01BL3qCPjfhRR+vXwIhGHck8xRGUj6UjhOqhUD0gygZHtYnW6y2AgS2ZgOgaGNyKG9hC\nKbeOExQZd3kORXCkPMWxqWOMT48zfmqcY4cOMz71+MyxY1PHKNVKM7f+57f+My/c8cIl/GIsPQVJ\nIiIiIucqinzB6hMnOi9HjvigaPwZsH2wudyY9dxqvi7ReREMNhevzoE7L5ly1uEJZ8F6VJdIRHrG\nOTh9Jp2uVh91VMjDhrUadSTdqZ5pHTHUbvRQ+YifitYsP5aEQ1tx666jvHkdZ8JRTjLAuMtzODIO\n1GL2lUocnT7O+MQ4xw4fY3z6Wz4YmhqnGlfbdi2wgPWD69kwuIGNQxu5YO0FPH/b89k4tHHm2Iah\nDVy6/tJF/iL1nv4rFhEREQFfo2OuMKjTUj0Nm0mXTZntHcAugx2hL1491ly82iDe0qZ4dSYwCrbQ\nOk9NRKTHypXGJ6zVRx2tGYELtyejjgY16mi1i2tQPto4tazTVLPaZOv1lsMNbKFW3Eg5t5Yza3Zw\nygY47gocjgMOVGOerVR4anqKg2dOcezIMcannuD49D8StZuqBuSCHBsGN7BhyAdAl66/lJt23NQQ\nCNUDovr22oG1BKafxaAgSURERFaSanX+YdBEZuh7Dh8GZQOh7Tm4pgjn5WGrwQYH62uwpgzFDv2J\nh/zFwRZgC22nnNl5EOppRCKyDMRxWuvoxCk4M+2PF/KwcZ1/utq6McjpbeaK55yfMtZpxFC2OHXp\nKOBabhHlRinn1zEZjnLK1nN8YCtH4oADNcfeSpUfl6b50dQE/zp1kuPTB3Dsb9uVYlhsCH6u2nxV\nQyDULhwaK45hCjjnTf+Fi4iISH+pVucXBJ04AWfOtL+nAeuAnUW4eAQuHISfLMC2HGwegA1bYN06\nGC3B8CQU2/xFlPoTztbQOPyo3TCkZD9Y6eU2RWTFK1fS6WonTvupvGb+CWsXJaOOhjXqaMWIq1A6\n0l1x6mi69XILmQzHOG1DnKDA0XiMA26MfZUqT5dL/MvUBP86PcXhCEpuAmisXzSUH8pMFdvCxdue\nxw2DnQOhjUMbGcoPKRRaYgqSREREZOFVKvMPgybbhTgZQ0Owbi1sXwMXDcMNY3DeBtgawub6KKEK\njE7B4BkonoLwBFgElJOlzoANpHPQ2gVC2WUNqkMkIitadtTR8VMwmRl1tGldUutoVKOOFpJz/mlh\ncRVc1a/jWma72tRWBVdbmLbKCSgdwk0fgukDWGW8bRcnrcgJihyNcxyqOfZVc/y4VODZSoVDNTgY\nwaEanIgjHCeAE4wVxxpHBq3ZwFVDG3lZh0Bow9AGBnJ6cuhyoP/6RUREpL1yef5h0NTU7PceHvYj\ngOrLxRfDpjHYUYTzcrDFYGMM66owVoaRSRiYgPxJCI4CR4ADHW4+RhoGXcjsI4c2oF+HRGTVmxl1\nlNQ6iuJk1NFIf446cjHEVeKoTByXiWol4riMi6pEcQkXVYijMi5O1367MrPt4gouquDiKsQVXBK2\nuKjSFLwkoU6ybcm2uRq4GhZXMReBqxG4GhbXMFfDXOT3XeS3iQhc42JEhC4mpH0dn8VSdUYNv0y4\ngEM12F+N2F+LfShUg0NJMHQwgsMRDBeHGoOfNX59xdBGXtKmntD6wfUUwsKSfl5L5cwZOHAA9u9P\nl+z+Rz8Kl1/e614uLv3mJCIiInD0KHzzm7Bnj18eeghOnZr9mpGRxjDokksa99evgS25JK+JYG3F\nTx0bOgPhOD4MqgdCjwCnO3ygIo1B0JV0HjW0CdBfM0VEZjjXOhIlKsOpk3DiuF9PTfoRMXlgtOiX\noTzYYX/d8Socq7YZIVNrHfHSHMB0GFXj4iq12rRfohJRVMqEPtWZsKYeuuRw5MyRA8IkzwqSZTHf\n1FYd1JxfV5P9qoNKti1zPHteS1tmu1NbzUFsATWMiPo6JEr2YwuSdejXhETJMReExITElqyTfWc5\nYgtxFkIQElhIaCGBBYwURtgwmo4IOn9wA9c1jRZaN7iOXLDyo4NaDQ4fbh8OZfdPt/l1ZXQUtm/3\nS7X9Q99WlJX/ahAREZFGlQp897tpaLRnDzz1lG8LQ7j6arjrLjj//MZgaN1a2JDzU8fGypA7ThoG\n1ZcfA99Kto/Rrrim/7W/HgRtAnYxe82hUTSdTET6UlyD2hm/VM9ktif8Oi53mGI0y7Sl5qlHs7V1\nCnYarlm60S6OIAktgpkQpIb54MU5ynFMOY4pxRGluNY2fKk6iDDCsEgQDpDPDZLLDZLPDZHPDUKQ\nT0KRXOMSpNsE9XUeLJ+s/TkWFHCWw8ICWB4LChD4fQvSYxYUCMICQZCGLoEFhIHfrh8Lg5CcBRTn\nOGemrelYdt8w1fpZBM75v43NFg7t3+9DpDhuvDaXg23bfED03OfCT/90Ghidd166Hh3tzefWKwqS\nREREVjLnYN++xtDo4Yf9X6PXAZdtgtdfAde/FK7cDhevg+IUcAL4Ia1BUac/s60lDYAuA26mc72h\n9ehR9iKy5OJqa+CTDX3Oqm3C78fluT/ubLJBR5AGHul2m7bccJvjeQhagxOqDkoRlGrJt+8c5Isw\nPAojozAyBrmivza5rgpMVEucrExysjzJifIEJ8pnGC+fZrzkl6OlkxydPsmR6eMcmTrBkdJJqg4c\nMX6sTqoQFtg4tLFx6tNga32czZliynqilnSrUvFhUDYQahcWtZtxv359GgRdfXVjOFRfNm2CQL+y\ntDDn2v2lcHnYtWuXe+ihh3rdDRERkR6pQFLQcmYpHYJ9j8LBx+HEUzB9AIrTPjRab7A5D2sdFOca\nd508tn7O4tObgY3AyqyDICI9ElWaAp2mAKfWHPgkbe3CoHogFFfm/rh14SDkRvySH8lsj6bbLe2j\njefmhiEc6BwIWbjwNYdK5UytowmIY5zBmUHjYGGKf+UYT5cPcWz6GOPT4xybyqyn/HqiMtHx9kP5\noY5PzsrWx8meM5wfVigkZ805GB+fe5rZ0aOt1xaLrYFQdv+88/wyOLj0n9dyYmYPO+d2tWvTiCQR\nEZGeKtMSBnW9tPnz2gBwSbJMGpQGwZ0HxS0wvAOCDfhUaa5FwZCIdCkqz2NET1Nbc1gUn0WRkXCo\nKcAZgcJaGNrRXRjUfG1uBIJw8b5e8+CcY7I6ORP2jE+PMz41zvHJcUZLsKM2ymW2le25DQA8Wz7M\nF4//E5879g0eOPkQk20e0z5aGG0IhC7bcNmsgdCGwQ0M5vXOW87d9HT7gKh5u9Im+9282YdBO3bA\nDTe0D4vWr++fuvArlYIkERGRc1Zi/mFQ6y/3jUaZCXeqo3B8DA7k4ak8PHEIDpT8bcqDsP1KuPh6\nuOLFcN1PwabzYHgRPl0RWX7iKkTTUJuCaApq08k62Y+moTbZIfCZY7TP2YQ+ueGmEGcUCuthaGdr\noDNX4JMf9SFSn4U+c3HOcbp8uiEQahkZNO3X2WPlyE+ju2hgO7etv4lXrn8RP7duF8PhIKWwwoOT\nT/CJ0t/zRHyAUgE2rtvITdtv4zVDb24JhDYMbVixT9SS3okiOHJk7mlmJ060Xjs8nIZBL35x+5FE\nW7dCQS/bvqCpbSIiIoAPdI4zvzBorhoZY3Q3Ciiz1EbhsX2w56H0aWo/+IG/nRlccQW88IXpcvnl\nvlC2iCwfzvkaO23DnXZBzxxts93D1c6+f51CnZZAJ5nW1Wl0z8y1Q2DLr9hI7GKmq9NMVadmlula\nuj9b24npEz4sygRC49Pj1OL2/x6BBawfXN8Q/Gwd3MILhi/j2sLFXMIm1jr/ZMpK3ojWjlDYvJFw\n3Vr9DJBFNTHRuUh1ffvgQR8mZQWBD4A6TTOr74+NaRRRv9HUNhERWQUcfqrXfIKgk8wdBq2hMex5\nHt2FQmvo6sftwYNJYPSAD40efDCtDLlpkw+LfvEX4cYb4QUv8L9xicjiiKMkhGkKZWbCmuYwZ462\nbOjTHPS0fbLhHIK8H4mTG/K1fGa2h6C4Md3ONbWFg3O31ev8hIN9H/pUo+pZhTrN7S1tHe5THwl0\ntophkbUDa2cCocs3Xj5nPaG1A2sJLIDpEhw/7WsdnfS1jjCDNaOwfg2sX0NhaGCBv6KyGlWrcOjQ\n7NPM9u+HM2dar12zJg2DLr+8fVi0ZYsyzpVIQZKIiPSRcwmDTtD8pJhGRmsYtJ3uw6AF/C2oVILv\nfCd9ito3vwnPPOPb8nm49lp461vT0UYXXaQ/08nq5lzySPMyRKVkXW4McLoNetqd19w23ydxhQOd\ng5vBdUlQ0y7UaQ6E5mgL+vdXeOcc5ai8oKFOp3M7jeqZjWEM5YdmlsH84Mz2WHGMLcNb0rbcYNvz\numkbzA/6QKhbUewDo/37fHg0nbwGB4uwbSOsWwNrRyHs73BPesPFDhc74igmjhynTzqOHnYcOeI4\nejjm6FHHsSOO8WOO8aOxX487jh9zHD6eZ4LGZ9fn82kQdNVVcNtt7QtWD2v6/KrVvz+FRERkmXLA\nJPMPg2artWH4x8xnQ54ddBcGjbGgYVC3nIOnn05Doz17fIhUTT7PnTt9WPQbv+HX110HA/ors/QB\n5/xTrurhTVRuDXIWs20mLCqd2yPWLegc3OTXwOC2OYKb7GidWdrCgb4ewdM8PeusQp16W627cMjN\nY5RVPsi3DWYGc4NsGto0Z4CTPT5bWyEs9M8TxKZK6RPWTk1A7Pw8oLWjsH0LrB+DwZXx88A5R1yN\niapRuq7FrcfmaItr8Uxg4mKHi1zjfrtjyf65XLcY9zzbe0U1Rxw5XBIWETucc9hZlKqp/0Z0Sfbf\n5vLnct4772wIiDZu1CPvZXYKkkREpA0HnGH+YdBsfyUOaA2DdtJ9GNTnv9lMTPhpadnRRkeO+Lah\nIT8t7V3v8lPUbrzR/8YmUlevmRN1Ga7M1tYS1pQhLnUIctq0nc2j0mdlEBYhKCaPQi/6/ebtwtrW\ntnbnBgPp/WadulUfvVPo6xF99elZs02t6uX0rPromnahzPrB9Wlb7uxH7WTbcn08ymrBRJEfdXT8\nlJ+2VsqOOtrkp6ytGcUFhoucD09Ol885fMmGMGfTds4fM9Pmov6qy2uBYaFhgRGEgd9vdyzZb3ds\n1uuSY0E+aHsvgoBq1ajUjHLFqFQCShWjVPbLdMkvU2VjajqgUjUcRoxfOwIcRhAaQyPG0LAxPBIw\nPGIMjxojI8bIWMDomKXLGqNQbO3L2gvWcsFLev0vIsvNKviOLSKyWjlggvnXDJorDGoOeS5sc6zd\nMkrfh0HdimNfADs72uixx3wYAHDZZfDKV6ZT1K68EnL60buo6lOgXBXiWmY7s8zZlrR3anO1xuOz\ntTXfY65AaKHCGwsyQcxAhyBnyD8tq13bbNfNFgi1a7NcXwc57TjnKNVKXdfembVtjhBoPtOzAgs6\njsQZK46xdWRr+1E6c4zaGcwPMpwfnmkbyA2c3fSsFcDFjup0ldp0jepU1S/T1XR7qqmtqb25LSpV\niacrRNNV4nIERbLpAAAaUklEQVSNqOZHk8TOiGKII+ePNYU6S8YgzIcEuYAgH/jt5nWbttxArm1b\nN9eeS1uQaw1mzjr0CRb++5FzcPKk/7tR83L0aOux48fTXxWywtCXRdy8OV0uStbNxzdv9lPLltm3\nV1kh9NusiEhfc8Bp5h8GRa23nBHSOjLoYroPg1bhby7HjqVPUNuzB771LTh92retXevDojvu8Osb\nboB163rb3zoXJ0uUrmlzrKEtah+2zBaULEZbtr2bQMjN9ppfYBaA5X3h4/piuWTddMzqbYNQWOdH\nydSDFyv6/aDgR9sEBX8sTNZBMT2WXQfF5L6ZffJgA/5x6A7A+XX9HUt2nW2f7bz6OsZPvZnzvtPA\n1Pw+fru2zDXOOT9tKtnG+UlUM8eS7fpTidPtpO0stuuGkqVR/eiG5hcFVgAKhmHJG7y5ti35btr9\ntt+apyqzzCCeTpb+E9diquWIailqWNfKcbJdS9Zxpi05r3m/7X38dq0yvxAnLATkiyH5gdCviyG5\nYkgub+RCoziWJxgcJhwqEgwWCArhkoUv2RCm5ZhqLnU0OTl3IJRtq3XIhNevT4OfK66Al72sNRCq\nL2vXakqZLA/m2kWhy8SuXbvcQw891OtuiIh0UC8cfabN0u1IoZP4d2+dhJz1Y+X7LQxyLgktZgkQ\numqrzR6SEPsnMXVqaz4WVeHwITiwHw4d8MvpU34wVWCwcT1s2QSbN/nt0ZHG+8wZ1JxlG+dwr37R\nHLA07Oc6t9XDmZZr5tlmOfx/O/UlBy7Zdsk+AcTJsThIzkmOOfPnxfhRaVHs19nt+nq5qf9p2yz5\n9tC0zrYnawdgjthBTEyMI3Z+K3L1JZpZ11yUrGvU4vq6RtXVqMZ+uxJXqcbVmXU5qlCJq9TiGpGL\nZj5Gt7V4ckEus+TJN+wnS5gnb/Xt9NxcELa5Jk8uzPljlp6/6kbvOEdUiamWalSna1RLNWqlaGbb\nhzhJ23RErVw/Lz0+c37Zn+PvkW77Nj9S56wZ5AdyPtwZzJEfyJHLbOcHcz7wGUy30zY/6qa+nS8m\n5wyGyX0y5xXDzoHM0ICfsjZQPLcvtpyzSsUHPnMFQvXt+oNTm42MdB4htLlp9NDGjb5wtchyZGYP\nO+d2tWvTiCQREcC/I+wU+tSDn/m0dfMmJ0djwLMRuJSOAVA8Bm4U4hFwxXRERkuo0jylpgJuH8RP\ndxjZMcd0nnm3dREI9Zs4sxiwzWBHmNRfKUC+ABaCTYBNQvlZqIRA4EeCECTtQbJ0OBbkO7fNdt2C\ntDUda9vWLohpM+KmmzYL5h5/71xrEDNbSDNbe3WW8+Kz+SOaw4/si3yAGAR+CYPG7Vw+PdbcVt8O\nrHNAM0tQM9/zHI5SVKYUlf30qmSK1XStNFM4ebI65Y/Xunx0eofpXNE8RoLNNj2rpSbPYOv0rOGm\nmjudavJoelZ3U7Bma5ttmtc86mpjoVEYLvgAZyifLoNFhtaPkB/Kt7Q17A/mO7dl2sNi2D+FtWXB\nxbGfItbtdLKTJ9vfJ59vDIEuu6xzULRpky93KLLaKUgSkWUoxj8VbCEDn0m6/m3YheAGIR5IgpyC\nX6ICRCMQrfWjFmpBukQk0wkc1GKoxFBxUDWoRpkg5hTEx2YPX+bzW/t8ZYOEhu0O03mCfPIkpLGz\nCx+aj8/W1mkEi+W6D1Wmy/DdR+Ghb8M3H4Rvfgv2HfBf2kIRrr/eT0+78Ua/Pv/8uUOQlSqZPjRr\niFNrDnmSEV1zBkCu8fh8R0lnA5tscJNLwrq2wY75YhQzx6z9fbLXLtBrIIqjmUBmvnV3uj13Pgph\noWMos3l4c2tbl0/Lam7LB/lV9yY/qkYdQ5mFCnZq035Ez3yEhZD8cGtYkxvMMbJtZM7gptu2MN+D\nJ2j2qZlviVHrdvN6qdr6oQ+d2uqjio4c8bPN2w38NPMjgerhz7XXzj5yaM2a1fsjXmS+FCSJyCKL\naB/6NIU68WlwJ4HT4E4n6zNg9ZBnEmzaL0Gp+w8fG0Q5iEK/1CyzOB/sVB1Ui1CJoFpLwh588FNr\nWqr4N8kzfZ9FkKdjAdp6zZMg5/8UdrZTfc5mGtB8pwItwwK5bTkHTz7ZWBD7u9/1v5ECPOc58JMv\nSwtiX3MNFAo97TLg+x07PzWtHrhk183H5zzPpWHNXPeqn3cu07OsQzATGORzUAyTMGeWUTzdHDPr\n6nXqnKMW1yhHZUq1EuVamXI0TbmW7FfK6XZUTtqz5zZuN5w7W1tmu5SMBKpE8yuoPVsos2FwQ1dP\ny+qm2PKqeHpWhnOOqBzNXVR5lrZuz5tXEWWj4yicwmiB4S3D5Afz5IZyc4/WmaUtN5Dru3o5cQzV\narrUao37zcts7b1qi6LZw5GVaObbf5j5dh22X59tWz4Pl1wCL3pR+6lkmzfDhg3+fBFZPKvrNwWR\nVSsmTUWqrYurQHQG4jMQT0I0kawnwU1CNOVDnfrIHasHO1NpsGMlCMoQVCCoQlhfuvwtKcBnTtnA\npt32XO1RDuKiHykUDUAweHZPHSoUfR2Ds3kiUae2VTaVom+cPOmLYO/ZkxbGPn7ct42O+iLY73lP\nOuJo06b02nrIUq1lQheX/uYfu9Ygpl0w0+74rAFOm2PnUMPQOedvU4vTpwLFjji2ZJ0MGpppS9ZR\nvc1v+6lYQboOLX2HYJaO4qmHOfVgJwj89CoHNVejGlX9Evu1r4FTSbejykz7zH5cpRY1bvuaORVf\nTyeqUonS7Wqc3n9m3XS823o6c8kHefJh3q+T7VyQoxAWGAlHWBuspRAU0nMy62JYpJArUAyLfskV\nKYR+vxAW0v1cMT2WrLsqaRYD5WTp0nTyv2XH4WvuzBLm1KZqXY38mc9LI8gHHUfiDG0cmmnLDeXO\nesROtu1cp2dFEZRKUC77pVSCqWS7fLqxrVzur+BmKYOWMPQhRfOSy7U/ns9Dsejr5XRqz+X8shAB\nymxtC3mvhfg4K+FvUCIyOxXbFmnhaA1cOgQwi9aWtLsKuFKylIFKsk7CHyp+ylP9GqsBMViULDEE\ncXdvPs5WfarWTJiTjPKpBn6pJOtqDqqhXyo5qOQz6zxUCsm6CLVCMm0sBJdLlhDiXOZYsp451nTu\nuX6yZmktl5k3yJk30rMdn+28dvs9MvMsI+cy28kaGp5eVG/LPBcJstc1HXPJU5Zm9lzDnTLX1q9p\nc88OH6/x+myb3y6Waqw5VWJoOoJCAVcoUF47QmndGJWxEaqjQ8TFIjkLyREQEpDDbwexYTWwyJIQ\nJSauJY9krqX7M49prrWek72uWo2oRTHVWo1aLaYWJUstolaLiZJjUS0mqq/r94r8tr9n8pjoZN8l\nH8fVHK4GLnK+tnay3xDGiqxSuYHcnKNx5l1/ZzA9Ntv0rFqtNaBpDnMWsy27XR98uZCCYPaAZa4A\nZjHazvW+Cj9ERBotq2LbZnYb8EH8Y1T+wjn3gR53SRZcDFTwfy4tkf7ptNP2fNuaR93U2ocvVMGq\nQOSDGFvCd2D1Gq5xZqk/dThus27e7tSWzakqpJ9qJbMkuVTbL990Zilltk8Ap/BPo5+0NMTJ5X0t\nkjCX/vktl/N/msoeCzPHm4/Vtzu2hZljYev98p3v5zrdb2bf38/CpfuW6LqsB+NiH/jEUX2UiR9p\n4o8loUucHHcQ17eT8+Lkev/0d388jue+V5y04dLtWfsSN36Mlr4k9+7mXg19j9v0yyUBSvaeLhl9\nU4t8WBPFSYBTJqodJq4dSkIalzzVPglgomQao1u6dxBxEBMFEXGYrtsdy7bFQUwURn6djxr2G7ab\nr293LGy8ttPHjIKIfJinEBZmlvqImvrxTtuFILkml9luusdc29l75oLcqqulI93JDfjRPrnBPFbI\nUyNHpWpdhTATzW2TUD6+MMHOQo2kKRT8qJf6MjDQur1uXee22a7rtN9N+KLHk4usLs65hiWO4zmP\ndXPOYt9rIa87m+tf8YpXsHHjxl7/sy2qvgqSzCwE/gy4FdgHPGhmn3XOPd7bni2uoycOUIsWO7zw\n4Y1ZGaOMWSXZ98da28qYK2HRNOamMVf267iMUcKS5MGoJNeUwSp+P5naZFb167C+rkFYw8KF+dOY\ni0hGvRiuEkDFcBVL17UkO4oMInCxQWS4uHkJcK7YcCye2YbYZY/h15ER1wLiyHDVwG/PLEZcDVv2\no2pAXMkRVfLElTxRLY+r5XFxjtiFuDjnl2Q7diHO5ZIlTPbDpv1gZo0LiV2Ac0FSG9fSN93JbJmZ\nN+Qzb/JpeaPe0pYcawk92j3Ftp4Rzq/8x+z/3jMbmREtM2NdYlzymmwdMdN4Zr09vWfruekInabr\nmv6/+ZyGfma1ef9rGOYMi/0aR7odZ7ZXIgMLDAsNAgiCAP+gMPP1OQJm1hb684IwwHLpNjkIcoG/\nNvTbVgwJ8kWCXEAxFzCUC7G8EeZCgnxAmOwHuYAgl+43tOdspi3I+/PqbUE+wEIjzIczx4NcMLNv\nudaP1XLvMMCCHo5Gy87Sy9TpcK6xhkf9vGw9j27aZkorRXPcuwpRCaoxnDmL68+l3133rcvrm9u6\n6VsX2bGcBef89KdyGSqVGm6BngBZD28KhcbtetAyPJyGN9nzBgbS7ez5zfdod8/sdfX79FtgE8dp\nYCbdW4w3vov5prrbe/eqb7KwXPKDaa6v/xJ3CpzD4hhLfvi2bCdrstuZ8yz5gd7uOjLnzCxxTAAN\n9862dfq49Xs1rJ3jxM6dbLz55qX9ui2xvgqSgBuAJ51zTwGY2b3A7cCKDpK+/6fvIMc0FkR+Cf06\nCGIIIoKgBmFMEERYfR3EWBgRhH47CH2bBTFBLiLIbPtrFuYbr4uNuBYSRfWQJA1MsseiWp64Wky2\nk/ZaOBOw1GqBD1eSY1HVt0e1gLjij9eqfj+q5Pw5kb82So4T9dFvV+fC6qV0/CObg/pf3QOACLNo\nZry1Gcljn0n/Ol9/T5p8OWbOoWndsG0+8DDXeB7ggplTknOS48n/x65xGyB22WlM4Ihn2lzD8eSH\nE8nPiJk7tb6xdg3HLfn0LCnFMrOXHkvOnfn6+agmeQp2sm3Z+zS1NWxben8zAks/2sxHtaD+TwYE\nybGzDAjqZWTq/3aB/5wtIPlHcOk/xsyn1XTMkq/WzDkuc9yf72ymXE3alpzrqP9bu/T1QPpvPHNP\nyGw3R2fZ/XjmuGtpT4bbOX9e/RcTNzMNLtteH5rXeNdz5khH6MmyYvihyudcPzVIln77DUiWtxiY\nSpaM+kzT+T0/T2QJWfq7kQWZ32uyx+rbVv/9KNNuNnNdp3uZGWH9mux1yUKnj9/0cWUBJWFJu2CE\nKPLH2v1VJ9l2bR6355IK8655P7NuWWq1mfVSFkezIMDCkCCXw/J5glxuZrH6dqGQbje3NW0H+TwW\nhmy94IIl+xx6pd9+jdoO7M3s7wNu7FFflsypb32PyafP9p/C8P98/fZP2E59/lb3I5G6erOwEp/G\nkH3vrD+6iIiIiMgK1/inI+lnbQOXMCRIjjWEKpkApiWIyecJ6gFOcxCTyzW2ZT7eTFv9vLMIdxra\n6v3tp2Gfy8xySCEamNnbgLcB7Ny5s8e9WRgbbrmD0akpHEViCjhX9NtBEccABNl6LzksqD8SIfQp\nfRDiLPD/IVjg2+sFfUWkb1l9pJMZECSjrdL9dARWfeRVMHPNzKgqa95e3cIwrWse+m+JLetglsWs\n8R76koqIiMhKZkHQOdzJBET1UWki0H9B0n7g/Mz+juTYDOfcR4CPgH9q29J1bfH85Lve3+suiIiI\niIiIiIjMqd+GrDwIXGpmF5lZAbgL+GyP+yQiIiIiIiIiIvTZiCTnXM3Mfh34Mr4Czl86577f426J\niIiIiIiIiAh9FiQBOOe+AHyh1/0QEREREREREZFG/Ta1TURERERERERE+pSCJBERERERERER6YqC\nJBERERERERER6YqCJBERERERERER6YqCJBERERERERER6YqCJBERERERERER6YqCJBERERERERER\n6Yo553rdh3kzs6PAM73uxwLZCBzrdSdEZqHXqPQ7vUal3+k1Kv1Or1Hpd3qNSr9bSa/RC5xzm9o1\nLOsgaSUxs4ecc7t63Q+RTvQalX6n16j0O71Gpd/pNSr9Tq9R6Xer5TWqqW0iIiIiIiIiItIVBUki\nIiIiIiIiItIVBUn94yO97oDIHPQalX6n16j0O71Gpd/pNSr9Tq9R6Xer4jWqGkkiIiIiIiIiItIV\njUgSEREREREREZGuKEjqMTO7zcx+aGZPmtl7et0fkWZmdr6ZPWBmj5vZ983sN3rdJ5FmZhaa2XfM\n7HO97otIO2a21sw+aWY/MLMnzOymXvdJJMvM3pn8nH/MzO4xs4Fe90lWNzP7SzM7YmaPZY6tN7Ov\nmtmPkvW6XvZRVrcOr9E/Sn7WP2pm95vZ2l72cbEoSOohMwuBPwNeCTwPeKOZPa+3vRJpUQP+d+fc\n84AXAm/X61T60G8AT/S6EyKz+CDwJefc5cA16PUqfcTMtgPvAHY5564EQuCu3vZKhL8Cbms69h7g\na865S4GvJfsivfJXtL5Gvwpc6Zy7GvgX4L1L3amloCCpt24AnnTOPeWcqwD3Arf3uE8iDZxzB51z\n3062J/Bvfrb3tlciKTPbAbwa+Ite90WkHTNbA7wE+O8AzrmKc+5kb3sl0iIHDJpZDhgCDvS4P7LK\nOef+ATjedPh24K+T7b8Gfn5JOyWS0e416pz7inOuluzuAXYseceWgIKk3toO7M3s70Nv0KWPmdmF\nwHXAN3vbE5EG/wX4LSDudUdEOrgIOAp8NJmC+RdmNtzrTonUOef2A38MPAscBE45577S216JtLXF\nOXcw2T4EbOllZ0Tm8CvAF3vdicWgIElEumJmI8CngN90zp3udX9EAMzsZ4EjzrmHe90XkVnkgOcD\nH3bOXQdMoukY0keSOjO340PP84BhM3tzb3slMjvnHz+uR5BLXzKz38aXCPlYr/uyGBQk9dZ+4PzM\n/o7kmEhfMbM8PkT6mHPu073uj0jGi4GfM7On8dODf8rM/qa3XRJpsQ/Y55yrj+b8JD5YEukXPw38\n2Dl31DlXBT4NvKjHfRJp57CZbQNI1kd63B+RFmb2b4CfBe5OAs8VR0FSbz0IXGpmF5lZAV/U8LM9\n7pNIAzMzfF2PJ5xzf9Lr/ohkOefe65zb4Zy7EP899P9zzumv6NJXnHOHgL1mdlly6Bbg8R52SaTZ\ns8ALzWwo+bl/CyoIL/3ps8AvJdu/BHymh30RaWFmt+FLLvycc26q1/1ZLAqSeigpwvXrwJfxP6w/\n7pz7fm97JdLixcAv4kd6PJIsr+p1p0RElpn/DfiYmT0KXAu8v8f9EZmRjJb7JPBt4Hv49wgf6Wmn\nZNUzs3uAfwYuM7N9ZvZW4APArWb2I/xIug/0so+yunV4jX4IGAW+mrxv+r972slFYit0pJWIiIiI\niIiIiCwwjUgSEREREREREZGuKEgSEREREREREZGuKEgSEREREREREZGuKEgSEREREREREZGuKEgS\nEREREREREZGuKEgSERGRZcnMNiSP1n3EzA6Z2f5k+4yZ/fkSfPwz53Dtf8hsX2hmjy1Qn/7ezHYt\nxL1ERERE2sn1ugMiIiIi8+GcGweuBTCz3wXOOOf+uKed6t5/AN7f606IiIiInC2NSBIREZEVxcxe\nZmafS7Z/18z+2sy+YWbPmNkvmNn/ZWbfM7MvmVk+Oe96M/u6mT1sZl82s21t7nuRmf1zcu1/bmr7\nP8zsQTN71Mz+U+b43yb3/L6ZvS059gFgMBk99bHk1NDM/p/kvK+Y2WBy7jvM7PHkvve26dOgmd1r\nZk+Y2f3AYKbtw2b2UHLP/5Qc+ykz+9vMObea2f1mFprZX5nZY8nn9855/wOIiIjIiqYgSURERFa6\n5wA/Bfwc8DfAA865q4Bp4NVJmPRfgdc5564H/hL4P9vc54PAh5NrD9YPmtnPAJcCN+BHSF1vZi9J\nmn8luecu4B1mtsE59x5g2jl3rXPu7uS8S4E/c85dAZwE7kiOvwe4zjl3NfBrbfr0b4Ep59xzgf8I\nXJ9p+23n3C7gauClZnY18ABwuZltSs755eTzvRbY7py7Mvn8Ptr5yykiIiKrmYIkERERWem+6Jyr\nAt8DQuBLyfHvARcClwFXAl81s0eA9wE72tznxcA9yfb/mzn+M8nyHeDbwOX4YAh8ePRdYA9wfuZ4\nsx875x5Jth9O+gXwKPAxM3szUGtz3Uvw4RjOuUeT8+vuNLNvJ/26Aniec84lfX+zma0FbgK+CDwF\nXGxm/9XMbgNOd+iniIiIrHKqkSQiIiIrXRnAORebWTUJUwBi/O9CBnzfOXdTF/dybY4Z8AfOuf/W\ncNDsZcBPAzc556bM7O+Bgdn6mIhIp6i9Gh8WvQb4bTO7yjnXLlBq7JDZRcC/B17gnDthZn+V+dgf\nBf4OKAGfSO53wsyuAV6BH/l0J/Arc30cERERWX00IklERERWux8Cm8zsJgAzy5vZFW3O+0fgrmT7\n7szxLwO/YmYjyfXbzWwzsAY4kYRIlwMvzFxTrddn6sTMAuB859wDwLuT+400nfYPwJuS86/ET2MD\nGAMmgVNmtgV4Zf0C59wB4AB+5NVHk2s3AoFz7lPJ8efP1jcRERFZvTQiSURERFY151zFzF4H/KmZ\nrcH/fvRfgO83nfobwG4zezfwmcz1XzGz5wL/bGYAZ4A346fQ/ZqZPYEPq/Zk7vUR4NFk6tlvd+ha\nCPxN0icD/tQ5d7LpnA8DH00+xhP4aXE4575rZt8BfgDsxYdgWR8DNjnnnkj2tyf3qf+R8b0d+iQi\nIiKrnKWju0VERERkNTCzDwHfcc799173RURERJYXBUkiIiIiq4iZPYyf9narc6481/kiIiIiWQqS\nRERERERERESkKyq2LSIiIiIiIiIiXVGQJCIiIiIiIiIiXVGQJCIiIiIiIiIiXVGQJCIiIiIiIiIi\nXVGQJCIiIiIiIiIiXVGQJCIiIiIiIiIiXfn/ATjWQZpxOUivAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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EZcqUueU1K1asyIgRI2jWrBm+vr60atWqwO7vdoxTq23nRWhoqP1pUSi5taysLBISEvj2\n22+pVq0aUVFRVK9e3elYIiIiIiIiIrm2ffv2YvVwpyeeeIKePXs61g2UGzd6T40xSdba0BsdrzWM\nShg3NzfCw8MZOnQoFy9eJDY2lo0bNzr2GD4RERERERERKX4KrGBkjJlijEkzxmy77rXKxpivjTG7\nrn2vVFDXv9c1aNCAUaNGUbduXZYsWcL8+fO5fPmy07FERERERERESpxp06YV6e6iO1GQHUbTgIif\nvfYi8I219gHgm2vbUkDKli3LkCFD6NKlC9999x0TJ07k8OHDTscSERERERERkSKuwApG1tqVwMmf\nvdwH+Ojazx8BkQV1fXFxc3OjU6dODBs2jKtXrzJ58mT+85//aIqaiIiIiIiIiNxUYa9hVMNa+1OL\nyxGgxs0ONMaMNMYkGmMSjx07VjjpSrB69eoxatQoGjZsyBdffMG8efO4dOmS07FEREREREREpAhy\nbNFr62pxuWmbi7V2orU21FobWq1atUJMVnL5+PgQHR3Nww8/zM6dO5kwYQIHDhxwOpaIiIiIiIiI\nFDGFXTA6aoypCXDte1ohX/+eZ4yhXbt2xMTEYIxh6tSprF69WlPURERERERERK7j7u5OUFBQ9ldq\namqBXat79+6cPn26wMa/Ex6FfL3FwDDgrWvfFxXy9eWa2rVr8/TTT7NkyRKWLVvG3r176du3L2XK\nlHE6moiIiIiIiIjjSpcuTXJy8g33WWux1uLmlj99OEuXLs2XcfJTgXUYGWNmA2sBf2PMQWPMU7gK\nRQ8ZY3YB3a5ti0O8vb2JioqiR48epKamMn78+AKtmIqIiIiIiIgUV6mpqfj7+/P444/TrFkzDhw4\nwK9//WtCQ0Np2rQpr776avaxfn5+vPrqq4SEhBAYGEhKSgoA58+f58knnyQwMJDmzZvzySefZB9/\n/PhxACIjI2nZsiVNmzZl4sSJhX+j1xRYh5G19rGb7OpaUNeUvDPGEBoaSp06dYiLi2P69Ol06tSJ\nTp065VulVERERERERKS4uXTpEkFBQQDUr1+fd955h127dvHRRx/Rtm1bAP7yl79QuXJlMjMz6dq1\nK1u2bKF58+YAVK1alY0bN/LPf/6Tt99+m0mTJvGnP/2JChUqsHXrVgBOnTr1i+tOmTKFypUrc+nS\nJVq1akX//v2pUqVKId31/ynsKWlSRPn6+jJy5EiWLl3KihUr2LdvH/369aNcuXJORxMREREREZF7\n2JgxcJOZYXcsKAjefffWx/x8Slpqair16tXLLhYBzJs3j4kTJ5KRkcHhw4f5/vvvswtG/fr1A6Bl\ny5bMnz8fgGXLljFnzpzs8ytVqvSL67733nssWLAAgAMHDrBr1y5HCkZqIZFspUqVIjIykj59+nDo\n0CHGjx/P7t27nY4lIiIiIiIiUiRcv+7v3r17efvtt/nmm2/YsmULPXr0ID09PXu/l5cX4Fo8OyMj\nI1fjJyQksGzZMtauXcvmzZsJDg7OMWZhUoeR/EJQUBC1a9cmLi6OmTNn0r59e8LDw3F3d3c6moiI\niIiIiNxjbtcJ5JSzZ89SpkwZKlSowNGjR/n8888JCwu75TkPPfQQH374Ie9eu6lTp07l6DI6c+YM\nlSpVwsfHh5SUFNatW1eQt3BL6jCSG6pWrRrDhw+nZcuWrFmzhmnTphW5R/yJiIiIiIiIOKVFixYE\nBwfTuHFjfvWrX9GhQ4fbnvPHP/6RU6dO0axZM1q0aEF8fHyO/REREWRkZBAQEMCLL76YY/pbYTPW\nWscunluhoaE2MTHR6Rj3rO+++44lS5ZgjKFPnz40btzY6UgiIiIiIiJSgm3fvp2AgACnY5QoN3pP\njTFJ1trQGx2vDiO5raZNmzJy5EgqVarE3Llz+fzzz3M9/1JEREREREREih8VjCRXKleuTExMDG3a\ntGH9+vVMmTKFEydOOB1LRERERERERAqACkaSax4eHkRERBAdHc3p06eZOHEiW7dudTqWiIiIiIiI\niOQzFYwkz/z9/Xn66aepUaMG8+fPZ/HixVy9etXpWCIiIiIiIiKST1QwkjtSoUIFnnjiCTp27Mim\nTZuIjY0lLS3N6VgiIiIiIiIikg9UMJI75ubmRteuXRkyZAgXL14kNjaWTZs2URyevCciIiIiIiIi\nN6eCkdy1hg0bMmrUKOrWrcvixYtZsGABly9fdjqWiIiIiIiIyF1ZuHAhxhhSUlIASE1NpVmzZo7l\nad++faFdSwUjyRdly5ZlyJAhdOnShW3btjFx4kQOHz7sdCwRERERERGROzZ79mw6duzI7NmznY4C\nwJo1awrtWioYSb5xc3OjU6dODBs2jKtXrzJ58mTWr1+vKWoiIiIiIiJS7Jw/f55Vq1YxefJk5syZ\n84v9mZmZjB07llatWtG8eXMmTJgAQEJCAp07d6ZPnz40aNCAF198kZkzZ9K6dWsCAwPZs2cPAEuW\nLKFNmzYEBwfTrVs3jh49CsBrr71GTEwMYWFhNGjQgPfeey/7mmXLls3O1rVrV0JCQggMDGTRokX5\nfv8qGEm+q1evHqNGjaJBgwZ8/vnnzJs3j0uXLjkdS0RERERERCTXFi1aREREBI0aNaJKlSokJSXl\n2D958mQqVKjAhg0b2LBhA7GxsezduxeAzZs3M378eLZv386MGTPYuXMn69evZ/jw4bz//vsAdOzY\nkXXr1rFp0yaio6MZN25c9tgpKSl8+eWXrF+/ntdff/0XTyb39vZmwYIFbNy4kfj4eF544YV8b9bw\nyNfRRK7x8fHhscceY926dSxbtowJEyYQFRVFnTp1nI4mIiIiIiIixcnu/XD+Yv6OWdYH7r/vlofM\nnj2b559/HoDo6Ghmz57N6NGjs/d/9dVXbNmyhbi4OADOnDnDrl27KFWqFK1ataJmzZqAa93fhx9+\nGIDAwEDi4+MBOHjwIIMGDeLw4cNcuXKF+vXrZ4/do0cPvLy88PLyonr16hw9ejTH52lrLS+//DIr\nV67Ezc2NQ4cOcfToUXx9ffPhzXFRwUgKjDGGdu3acd999xEXF8fUqVMJDw+nffv2GGOcjiciIiIi\nIiJyQydPnmT58uVs3boVYwyZmZkYY3jmmWeyj7HW8v777/PII4/kODchIQEvL6/sbTc3t+xtNzc3\nMjIyAHj22Wf57W9/S+/evUlISOC1117LPuf6893d3bPP+cnMmTM5duwYSUlJeHp64ufnR3p6er7d\nP6hgJIWgdu3aPP300yxZsoRly5aRmppKZGQkZcqUcTqaiIiIiIiIFHW36QQqCHFxcQwdOjR7XSKA\nzp07c+DAgeztRx55hH/961+Eh4fj6enJzp07qV27dq6vcebMmezjP/roozzlO3PmDNWrV8fT05P4\n+Hj27duXp/NzQ2sYSaHw9vYmKiqK7t27s3fvXiZMmEBqaqrTsURERERERER+Yfbs2fTt2zfHa/37\n9+fNN9/M3h4+fDhNmjQhJCSEZs2a8fTTT/+iE+hWXnvtNQYMGEDLli2pWrVqnvINHjyYxMREAgMD\nmT59Oo0bN87T+blhisMTrEJDQ21iYqLTMSSfHDlyhLi4OE6ePEmnTp3o1KkTbm6qXYqIiIiIiIjL\n9u3bCQgIcDpGiXKj99QYk2StDb3R8fqULoXO19eXkSNHEhgYyIoVK5gxYwbnzp1zOpaIiIiIiIiI\nXKOCkTiiVKlSREZG0qdPHw4dOsT48ePZvXu307FEREREREREBBWMxEHGGIKCghgxYgRly5Zl5syZ\nLFu2jMzMTKejiYiIiIiIiNzTVDASx1WrVo3hw4cTEhLC6tWrmTZtGqdPn3Y6loiIiIiIiMg9SwUj\nKRI8PT3p1asX/fv3Jy0tjQkTJpCSkuJ0LBEREREREZF7kgpGUqT89CjCSpUqMXfuXD7//PM8PZZQ\nRERERERERO6eCkZS5FSuXJmYmBjatGnD+vXrmTJlCidPnnQ6loiIiIiIiNxD3N3dCQoKyv566623\nAPDz8+P48ePZxyUkJNCzZ0+nYhYYD6cDiNyIh4cHERER+Pn5sWjRIiZMmECvXr1o1qyZ09FERERE\nRETkHlC6dGmSk5OdjuEYdRhJkda4cWNGjRpFjRo1+OSTT1iyZAlXr151OpaIiIiIiIhIiaaCkRR5\nFSpUYNiwYXTs2JGNGzcSGxvLsWPHnI4lIiIiIiIiJdilS5dyTEmbO3eu05EKlaakSbHg7u5O165d\nqVevHgsWLGDixIl0796doKAgjDFOxxMREREREZGCkjQGTuXz1LBKQdDy3VsecrMpaTf6DFoSP5eq\nw0iKlfvvv59Ro0ZRt25dFi9ezMKFCzVFTURERERERApNlSpVOHXqVPb2yZMnqVq1qoOJCoY6jKTY\nKVeuHEOGDGHlypWsWLGC48ePM2jQIMqXL+90NBEREREREclvt+kEKmxhYWHMmDGDN954g8zMTP79\n738TGRnpdKx8pw4jKZbc3NwICwtj0KBBHD9+nNjYWA4ePOh0LBERERERESkhfr6G0YsvvgjAK6+8\nwu7du2nRogXBwcHcf//9DBkyxOG0+c9Ya53OcFuhoaE2MTHR6RhSRKWlpTFnzhzOnj1Lr169aNGi\nhdORRERERERE5C5s376dgIAAp2OUKDd6T40xSdba0Bsdrw4jKfaqV6/O8OHDue+++1i4cCFffvkl\nWVlZTscSERERERERKbYcKRgZY/7LGPOdMWabMWa2McbbiRxScvj4+DB48GBat27NunXrmDVrFunp\n6U7HEhERERERESmWCr1gZIypDTwHhFprmwHuQHRh55CSx93dnUcffZSePXuyd+9eJk2axPHjx52O\nJSIiIiIiIlLsODUlzQMobYzxAHyAHx3KISVQy5Ytefzxx7l06RKTJk1i165dTkcSERERERERKVYK\nvWBkrT0EvA3sBw4DZ6y1XxV2DinZ6tWrx4gRI6hUqRKzZ89mzZo1FIcF3kVERERERESKAiempFUC\n+gD1gVpAGWPML54/Z4wZaYxJNMYkHjt2rLBjSglQsWJFnnzySQICAvj6669ZuHAhGRkZTscSERER\nERERKfKcmJLWDdhrrT1mrb0KzAfa//wga+1Ea22otTa0WrVqhR5SSoZSpUoRFRVFly5d2LJlC9Om\nTePcuXNOxxIREREREZEi7siRI0RHR9OwYUNatmxJ9+7d2blz5w2PTU1NpVmzZvly3bCwMBITE3/x\n+uLFi3nrrbfy5Rq54UTBaD/Q1hjjY4wxQFdguwM55B5hjKFTp04MHDiQtLQ0Jk6cyKFDh5yOJSIi\nIiIiIkWUtZa+ffsSFhbGnj17SEpK4s033+To0aOOZerduzcvvvhioV3PiTWM/gPEARuBrdcyTCzs\nHHLvCQgI4KmnnsLDw4OpU6eyZcsWpyOJiIiIiIhIERQfH4+npyejRo3Kfq1FixZ07NiRsWPH0qxZ\nMwIDA5k7d+4vzk1PT+fJJ58kMDCQ4OBg4uPjAZg2bRqRkZE89NBD+Pn58cEHH/CPf/yD4OBg2rZt\ny8mTJ7PHmDFjBkFBQTRr1oz169dnnz969GgAlixZQps2bQgODqZbt24FUshy5Clp1tpXrbWNrbXN\nrLVDrbWXncgh954aNWowYsQI6taty4IFC/j666/JyspyOpaIiIiIiIgUIdu2baNly5a/eH3+/Pkk\nJyezefNmli1bxtixYzl8+HCOYz788EOMMWzdupXZs2czbNgw0tPTs8edP38+GzZs4A9/+AM+Pj5s\n2rSJdu3aMX369OwxLl68SHJyMv/85z+JiYn5RY6OHTuybt06Nm3aRHR0NOPGjcvnd8D1eHuRe4qP\njw9Dhgzhiy++YM2aNaSlpdG/f3+8vb2djiYiIiIiIiI/88WYLziSfCRfx/QN8iXi3Yg8n7dq1Soe\ne+wx3N3dqVGjBp07d2bDhg00b948xzHPPvssAI0bN6ZevXrZax916dKFcuXKUa5cOSpUqECvXr0A\nCAwMzDEL5rHHHgOgU6dOnD17ltOnT+fIcfDgQQYNGsThw4e5cuUK9evXz/O93I4jHUYiTnN3d6dH\njx706NGDH374gUmTJnHixAmnY4mIiIiIiEgR0LRpU5KSkvJ9XC8vr+yf3dzcsrfd3NxyPNXbteQz\nN91+9tlnGT16NFu3bmXChAnZHUz5SR1Gck8LDQ2lWrVqzJs3j9jYWKKiorj//vudjiUiIiIiIiLX\n3Ekn0N0KDw/n5ZdfZuLEiSKQtG0AACAASURBVIwcORKALVu2ULFiRebOncuwYcM4efIkK1eu5G9/\n+1uOgs2DDz7IzJkzCQ8PZ+fOnezfvx9/f382btyY6+vPnTuXLl26sGrVKipUqECFChVy7D9z5gy1\na9cG4KOPPsqHO/4ldRjJPa9evXqMGDGCihUrMmvWLNauXYu11ulYIiIiIiIi4hBjDAsWLGDZsmU0\nbNiQpk2b8tJLL/GrX/2K5s2b06JFC8LDwxk3bhy+vr45zv3Nb35DVlYWgYGBDBo0iGnTpuXoLMoN\nb29vgoODGTVqFJMnT/7F/tdee40BAwbQsmVLqlatelf3ejOmOHwwDg0NtYmJiU7HkBLuypUrLFy4\nkO3bt9OiRQt69uyJh4ea8ERERERERArb9u3bCQgIcDpGiXKj99QYk2StDb3R8eowErmmVKlSDBgw\ngM6dO7N582amTZvGuXPnnI4lIiIiIiIiUuhUMBK5jjGGsLAwBg4cSFpaGrGxsRw6dMjpWCIiIiIi\nIiKFSgUjkRsICAggJiYGNzc3pk2bxtatW52OJCIiIiIiIlJoVDASuQlfX19GjBhB7dq1mT9/PsuW\nLSMrK8vpWCIiIiIiIiIFTgUjkVsoU6YMQ4cOpWXLlqxevZo5c+bkeFyiiIiIiIiISEmkgpHIbbi7\nu9OzZ0+6d+/Onj17mDx5MidOnHA6loiIiIiIiEiBUcFIJJdatWrF0KFDuXDhApMmTWLPnj1OR5Ki\nLuMCnP4OLv4ImZedTiMiIiIiInm0cOFCjDGkpKQU+LWSk5NZunRp9vbixYt56623Cvy6N2OstY5d\nPLdCQ0NtYmKi0zFEADh16hRz5szh2LFjPPzww7Rp0wZjjNOxpKjIyoS0BNg7Aw7EuYpGP/EoC15V\noFQV13evqjfezn6tKniUAf37JSIiIiL3mO3btxMQEOB0DAYNGsSPP/5IeHg4r7/+eo59GRkZeHh4\n5Nu1pk2bRmJiIh988EG+jXm9G72nxpgka23ojY5XwUjkDly5coUFCxaQkpJCUFAQPXr0yNf/UEgx\ndGY77J0Oqf+GiwfBszzcNxBqdIGrZ+HyCbh83PX9yomc21dP33xct1K5KzJdv12qIhg1kIqIiIhI\n8VUUCkbnz5/H39+f+Ph4evXqxY4dO0hISOCVV16hUqVKpKSkkJKSwujRo1m+fDl169bF09OTmJgY\noqKiSEpK4re//S3nz5+natWqTJs2jZo1axIWFkabNm2Ij4/n9OnTTJ48mTZt2nD//fdz6dIlateu\nzUsvvcSlS5eyC0hPPPEE5cuXJzExkSNHjjBu3DiioqI4f/48ffr04dSpU1y9epU///nP9OnT54b3\nk9eCkT7hityBUqVKMXDgQFasWMGKFSs4fvw4gwYNomzZsk5Hk8KUfgz2zXEVik4mgnGHmhEQ/Heo\n3Qs8SudunKwMuHLq5gWl7O0TcOb7/9u2mTcez7hBqUp5LDJVBvdS+ffeiIiIiIgUc4sWLSIiIoJG\njRpRpUoVkpKSANi4cSPbtm2jfv36xMXFkZqayvfff09aWhoBAQHExMRw9epVnn32WRYtWkS1atWY\nO3cuf/jDH5gyZQrg6k5av349S5cu5fXXX2fZsmW88cYbOTqMpk2bliPP4cOHWbVqFSkpKfTu3Zuo\nqCi8vb1ZsGAB5cuX5/jx47Rt25bevXvnyywYFYxE7pAxhrCwMKpXr87ChQuJjY1l0KBB1KpVy+lo\nUpAyL8OhT11Foh+Xgs2ASsEQ8g7UewxK18j7mG4e4F3N9ZVb1l7rXLpdkek4XNgPpza5fs68xVP+\nPMrdpKD0U1HpZ9teVcDdR1PmRERERKRAffHFFxw5ciRfx/T19SUiIuKWx8yePZvnn38egOjoaGbP\nnk3Pnj1p3bo19evXB2DVqlUMGDAANzc3fH196dKlCwA7duxg27ZtPPTQQwBkZmZSs2bN7LH79esH\nQMuWLUlNTc1V5sjISNzc3GjSpAlHjx4FwFrLyy+/zMqVK3Fzc+PQoUMcPXoUX1/f3L8ZN6GCkchd\natKkCZUrV2bOnDlMnTqVPn360KxZM6djSX6yFo6vdRWJ9s11TSErXRMa/xfUHwoVAws/kzFQqoLr\nq1zD3J+XcfHGBabs167bPrfr2pS5Mzcfz80r70UmzwqaMiciIiIiRdrJkydZvnw5W7duxRhDZmYm\nxhh69OhBmTJlbnu+tZamTZuydu3aG+738vICXE/lzsjIyFWmn875aXyAmTNncuzYMZKSkvD09MTP\nz4/09Fv8kjgPVDASyQe+vr6MGDGCefPm8cknn3D06FHCw8O1GHZxd/4H2PtvV6Ho/B5XN03dfq4i\nUY2u4ObudMK88/BxfZWpm/tzsq7C5ZO37mL6afvMNtf2lZNgs248nnFzTYG77VS564tOlcHNM3/e\nAxEREREpVm7XCVQQ4uLiGDp0KBMmTMh+rXPnznz77bc5juvQoQMfffQRw4YN49ixYyQkJPCrX/0K\nf39/jh07xtq1a2nXrh1Xr15l586dNG3a9KbXLFeuHOfOnctTzjNnzlC9enU8PT2Jj49n3759ebvR\nW1DBSCSflClThscff5ylS5eyatUq0tLS6NevX44qsBQDV07D/o9dRaJjqwDjWri62SuuYpFnOacT\nFj43T9dUu7xMt7NZrs6k23UxXTkBF/a61oC6fAKyLt98TM/y4FUNaveExi/kreglIiIiIpIHs2fP\n5ve//32O1/r378+//vUvGjZsmOO1b775hiZNmlC3bl1CQkKoUKECpUqVIi4ujueee44zZ86QkZHB\nmDFjblkw6tKlC2+99RZBQUG89NJLuco5ePBgevXqRWBgIKGhoTRu3PjObvgG9JQ0kXxmrSUxMZHP\nP/+cqlWrEh0dTeXKlZ2OJbeSdRUOf+UqEh1c5CpalG8M9R8Hv8FQ5j6nE94brIXMi7cuMl3c71pD\nyriB3xAI+G+okH//UxQRERGRoqEoPCUtt86fP0/ZsmU5ceIErVu3ZvXq1fmyhlB+01PSRBxmjKFV\nq1ZUrVqVjz/+mNjYWAYMGECDBg2cjibXsxZOJV9bl2gWpKe5pkDdP9JVKKrcUos5FzZjwKOM6+tW\nRboL+2D727BnEvwwDer2hSYvQZUb/n9ORERERKRA9ezZk9OnT3PlyhVeeeWVIlksuhPqMBIpQKdO\nnWLOnDkcO3aMRx55hNatW2tdI6ddPASpM2HvDNd6O26loHYvV5GoZoQeLV+cpKfBjvdg5weu6W81\nukLTl6BGuIp9IiIiIsVcceowKi7y2mGkx9SIFKBKlSoRExNDo0aN+OKLL1iyZEmuV8CXfJRxwbV4\n9fKHYWFdSP69ay2iVv+CvofhwTio01vFouLGuzq0+DNE7oegv8KZ72B5N/iyDRxYcPNFt0VERERE\n5LY0JU2kgHl5eTFo0CDi4+P59ttvOX78OAMHDqRs2bJORyvZbBYcTXBNOTsQ5yoalfFzLV7tNwTK\nP+B0QskvnuWhyX+D/3Pww0ewfRx828+1DlWT37vWodIT1kRERERE8kQdRiKFwBhDeHg4UVFRHD58\nmNjYWA4fPux0rJLpzHZIfhkW+cHyrnBwAdR7DLqthN57oPnrKhaVVO7e8MDT0HMHtJ/tmm647klY\n3NA1dS3jgtMJRURERESKDRWMRApR06ZNiYmJAWDKlCls27bN4UQlRPox2PE+fNEKPmvi6jCp2Bw6\nzIW+R6BNLFR/0PVkLSn53DzALxoeTYbOn0GZepD0vKuIuPVPcOWU0wlFRERERIo8fXoSKWQ1a9Zk\nxIgR1KxZk08++YTly5dTHBafL3IyL8P+T2BFH1hQC5KeA5sJIe9A5CEI+xTqDQSP0k4nFacYA7W7\nw0PfQrdvoUob2Po/sPA+2DQWLv7odEIRERERKcLc3d0JCgqiRYsWhISEsGbNmnwZd/jw4Xz//fcA\n+Pn5cfz48XwZN79pDSMRB5QtW5Zhw4bx2Wef8e2335KWlkbfvn3x8vJyOlrRZi0cX+dal2j/XFen\nSOma0Pi/oP5QqBjodEIpqqp3hOqfwqkt8P1bkPIP1zS1+sNc6x+Vu9/phCIiIiJSxJQuXZrk5GQA\nvvzyS1566SVWrFiR45iMjAw8PPJWWpk0aVK+ZSxI6jAScYi7uzu9evUiIiKCnTt3MnnyZE6d0lSZ\nGzq/F7a+AUsawdftXQWjWj2gy5fQ5wAEj1OxSHKnUnPoMAt67YIGMa5/lz71h1WD4FSy0+lERERE\npIg6e/YslSpVAiAhIYEHH3yQ3r1706RJEwAiIyNp2bIlTZs2ZeLEiQAsXryYoKAggoKC8Pf3p379\n+gCEhYWRmJjozI3kgTqMRBxkjKFNmzZUq1aNuLg4YmNjGTBgQPZ/SO5pV87A/o9dH+iPfQsYqNEF\nmv0R6vYDz3JOJ5TirGwDaP0vCPwfSHkXdv0L9s+DmhHQ9CWo9qBrSpuIiIiI3LMuXbpEUFAQ6enp\nHD58mOXLl2fv27hxI9u2bcv+7DZlyhQqV67MpUuXaNWqFf3796d379707t0bgIEDB9K5c2dH7uNO\nqWAkUgQ0aNCA4cOHM2fOHGbMmEFERAStWrXC3GsfWLOuwuGvYO8MOLQIMtNdj0Zv8b+uR6OXuc/p\nhFLSlK4JwX91FYl2/dNVPFrWGaq2hyYvQu0eWixdRERExHFjgPzuBg8C3r3lEddPSVu7di2PP/54\n9oOLWrduneMX/e+99x4LFiwA4MCBA+zatYsqVaoAMG7cOEqXLs0zzzyTz/dQsFQwEikiKleuzFNP\nPcX8+fP5/PPPOXr0KN27d8fd3d3paAXLWtdUoL3TYd8sSE8DryrQcATUfxwqt1SnhxS8UhWh6cvg\nPwb2TIHtf4OVvaFCM1fhqN4g19PXREREROSe1K5dO44fP86xY8cAKFOmTPa+hIQEli1bxtq1a/Hx\n8SEsLIz09HQAli1bxscff8zKlSsdyX039LdfkSLEy8uL6Oho4uPj+fbbbzl+/DgDBw7M8R+jEuPi\nj5A601UoOrMN3EpB7V6uIlHNCHAv5XRCuRd5+ID/aHjgadg3x7VA9tohsOWPEDAWGjypJ++JiIiI\nFLpbdwIVhpSUFDIzM7O7hq535swZKlWqhI+PDykpKaxbtw6Affv28cwzz/Dll19SunTx+zukCkYi\nRYwxhvDwcKpXr86iRYuIjY0lOjoaX19fp6PdvYwLcGCBa8rZ0WVgs6BqO2j1L7hvIHhVdjqhiIub\np+vJe36D4dAS+O5NSHwGtr3u6kJ64DdQqoLTKUVERESkAP20hhGAtZaPPvrohjNAIiIiGD9+PAEB\nAfj7+9O2bVsApk2bxokTJ4iMjASgVq1aLF26tPBu4C4Za63TGW4rNDTUFocVxEXy2+HDh5kzZw6X\nLl2iT58+NG3a1OlIeWez4GiCq5PowCeQcR7K+Lk6ifyGQPkHnE4ocnvWQtoKV+HoyFfgWd5VNPIf\nA6VrOJ1OREREpMTZvn07AQEBTscoUW70nhpjkqy1oTc6Ps8dRsYYN6CstfbsnUUUkdyqWbMmI0aM\nYN68ecTFxZGWlkZYWFjxWAz7zHZXJ1Hqv+HiAdcH7HrRrkJRtQ5aSFiKF2OgRpjr6+RG11S17/8K\nO96FBjEQ8Dsoq6cbioiIiEjJkatPbMaYWcaY8saYMsA24HtjzNg7vagxpqIxJs4Yk2KM2W6MaXen\nY4mUdGXLluXxxx8nKCiIlStXMm/ePK5cueJ0rBtLPw47PoAvWsNnTWD7OKjYHDrMhb5HoE0sVH9Q\nxSIp3iqHQMd50DPF1SW3JxaWPABrhsDpbU6nExERERHJF7n91NbkWkdRJPA5UB8YehfX/X/AF9ba\nxkALYPtdjCVS4nl4eNC7d28iIiLYsWMHkydP5tSpU07Hcsm8DPs/gRV9YEFNSHoWbAaEvAORhyDs\nU6g3UAsFS8lTvpGrCNp7L/g/DwcXwtJASOgFx9Y4nU5ERERE5K7ktmDkaYzxxFUwWmytvQrc0eJH\nxpgKQCdgMoC19oq19vSdjCVyLzHG0KZNGwYPHszZs2eJjY0lNTXVmTDWwrG1sP7XriLRqig4uQEa\n/xd03wKPboTGWttF7hE+tSHk79BnHwS+BsfXwNcdYFln+PFz158XEREREZFiJrcFowlAKlAGWGmM\nqQfc6RpG9YFjwFRjzCZjzKRrU91EJBcaNmzIiBEjKFOmDDNmzGDDhg2Fd/Hze2Hrn2BJI/i6vWsh\n61o9oMuX0OcABI+DioGFl0ekKPGqAoGvQuR+V4fd+R8goTt8EQL75kJWptMJRURERERy7Y6fkmaM\n8bDWZtzBeaHAOqCDtfY/xpj/B5y11r7ys+NGAiMB7rvvvpb79u27o5wiJdXly5f55JNP2LVrFy1b\ntuTRRx+94SMe79qVM7D/Y0idAWkrAQM1urgWr67bDzzL5f81RUqCzCuQOhO2/xXO7oCy90OT/3b9\n2XH3cjqdiIiISJGmp6Tlv7w+JS23i17XMMZMNsZ8fm27CTDsDjMeBA5aa/9zbTsOCPn5Qdbaidba\nUGttaLVq1e7wUkXH5cswdiwUlWVnpPjz8vIiOjqaDh06kJSUxIwZM7hw4UL+DJ6VAYeWwqpoWOAL\n60dAehq0+F/okwpdv4EGw1QskkKVlZXFtm3b2LdvH3f6y45C5V4KGj4J3b+DjnFQqgKsHwmL68P2\nt+HqOacTioiIiMgtlC1b1ukIjvLI5XHTgKnAH65t7wTmcm0doryw1h4xxhwwxvhba3cAXYHv8zpO\ncbNhA7z3Hnz6KSxdCvX19GXJB25ubnTr1o0aNWqwePFiYmNjiY6OxtfX984GPL0V9kyFfbMg/ahr\nik3DEa6OiMotXY8WF3HAqVOnWLBgAQcOHACgcuXKBAUF0aJFC8qXL+9wuttwc4f7+rs68o5+A9+9\nCZvGwnf/C41GQ6Nnwbv4/2JEREREREqW3K5hVNVaOw/IArg2Fe1uFmN4FphpjNkCBAH/exdjFQsd\nO8JXX8HRo9C2Laxf73QiKUkCAwN58sknycrKYsqUKXz//R3UYHdPhKUtYNeHUK0jdFoEkT9C6HtQ\nJVTFInGEtZYtW7Ywfvx40tLS6NOnD5GRkZQrV47ly5fz7rvvMmvWLL7//nsyM4v4GkHGgG83V4fe\nw/+B6mGw7U+wqB4kPg8X9judUERERER+5vz583Tt2pWQkBACAwNZtGgRAKmpqTRu3JjBgwcTEBBA\nVFQUFy9eBOCbb74hODiYwMBAYmJiuHz5MgB+fn68+uqr2WOlpKQ4dl+5kas1jIwxCUB/4GtrbYgx\npi3wV2tt5wLOB0BoaKhNTEwsjEsVuJQU6N4djhyBWbMgMtLpRFKSnDt3jnnz5nHw4EE6d+5M586d\nMbkp9KS8Axt/C7W6Q7sZ4FW54MOK3EZ6ejqfffYZ27Zt47777qNv375UrFgxe//JkydJTk4mOTmZ\nc+fO4ePjQ/PmzQkODqZ69eoOJs+DM9vh+7+61joC8BsMTX4PFTRfX0RERO5tRWENo7Jly3L69Gku\nXrxI+fLlOX78OG3btmXXrl3s27eP+vXrs2rVKjp06EBMTAxNmjRh9OjRPPDAA3zzzTc0atSIxx9/\nnJCQEMaMGYOfnx8vvPACzz77LP/85z/ZuHEjkyZNKrT7yesaRrmdkvZbYDHQ0BizGqgGRN1N0HtV\n48awbh307g39+sE778DzzzudSkqKcuXKMWzYMD777DNWrFhBWloakZGRlCpV6sYnWAvf/QW2vAJ1\n+0P7Wa51V0Qctm/fPhYsWMC5c+cIDw+nQ4cOuLnlbIqtXLky4eHhhIWFsWfPHpKTk1m/fj3r1q2j\nVq1aBAcH06xZM7y9vR26i1yoEADtpkHz12H732HPJNfTB+tEQtOXoEorpxOKiIiIOC7pzTc5tWNH\nvo5Zyd+fli+9dNvjrLW8/PLLrFy5Ejc3Nw4dOsTRo0cBqFu3Lh06dABgyJAhvPfeezz00EPUr1+f\nRo0aATBs2DA+/PBDxowZA0C/fv0AaNmyJfPnz8/Xe8pvuSoYWWs3GmM6A/6AAXZYa68WaLISrHp1\nWL4chgyBMWPghx/gH/+AgnjAldx7PDw86N27N9WrV+frr79mypQpREdH5+jMAFzFos0vw/dvudYo\najMZ3HJbQxYpGJmZmcTHx7N69WoqV65MTEwMtWvXvuU5bm5uPPDAAzzwwANcvHiRLVu2sGnTJj77\n7DO+/PJLmjRpQlBQEH5+frnruHNCmXqu6Z/NXoEd78HOD+DgAqjRFZq+6PpeVLOLiIiIlGAzZ87k\n2LFjJCUl4enpiZ+fH+np6QC/+Ltlbv6u6eXlelquu7s7GRl5fvB8ocrVp0NjzADgC2vtd8aYPwIh\nxpg/W2s3Fmy8ksvHBz7+GP77v13FotRU1xS1MmWcTiYlgTGGdu3aUb16deLi4oiNjWXAgAH4+fm5\nDrBZkDQGdr4P94+CVh+Cye2SZiIF4/jx48yfP5/Dhw8TEhLCI488cvPuuJvw8fGhbdu2tGnThsOH\nD7Np0ya2bt3Kli1bqFixIkFBQQQFBVGhQoUCuou75F0NWvwJmox1rSuW8g9Y/hBUDnV1HNWJ1J9V\nERERuefkphOooJw5c4bq1avj6elJfHw8+/bty963f/9+1q5dS7t27Zg1axYdO3bE39+f1NRUdu/e\nzf3338+MGTPo3LlQVvPJd7n9W+cr1tpzxpiOuJ5qNhn4V8HFuje4u8Pf/w4ffOB6elpYmGttI5H8\n0rBhQ4YPH46Pjw8zZswgMTERsjLhP8NdxaLGL0Crf+oDqDjKWktSUhITJ07k9OnTDBw4kF69euW5\nWHQ9Ywy1atWiR48evPDCC/Tr149KlSqRkJDAu+++y7///W++++67ovtbHc/yEPA76P0DtJ4AV07B\nt/3hsyauJxlmXnE6oYiIiEiJlpGRgZeXF4MHDyYxMZHAwECmT59O48aNs4/x9/fnww8/JCAggFOn\nTvHrX/8ab29vpk6dyoABAwgMDMTNzY1Ro0Y5eCd3LreLXm+y1gYbY94EtlprZ/30WsFHLFmLXt/M\np5/CoEFQrRosXQpNmjidSEqS9PR05s+fz65duwitfYqI0u/jHvgKBL6qaS7iqAsXLrBkyRJ27NhB\ngwYNsp+AVlBOnTqVvVD22bNnKV26NIGBgQQHB+Pr61tg171rWZlwIA6+exNObwafOq6C7/0jwEOt\nqSIiIlLyOL3o9ebNmxkxYgTrb/KI89TUVHr27Mm2bdsKOdmdy+ui17ktGH0KHAIeAkKAS8B6a22L\nu06cC/dCwQggKQl69oRLl2D+fAgPdzqRlCRZVy/yzYwXWHPAF79qbgx44gV8fHycjiX3sN27d7No\n0SIuXbpEt27daNOmTaGtMZSVlcXevXtJTk5m+/btZGZm4uvrm/3409KlSxdKjjyzFg5/Cd+/CWkr\n/z977x3e5nkfat+YBEBwb4nUpkRtMZYtD1nR9F5SkjaunTRfmjanvdp+bZqOfOdqenKl/fK1TU+T\nNqfNOUmaYadOmli2PJShbcu2JA9SwxI1qEGKlCgOECSIDTzfHw8JAiRIkRJJAOTv9vVc74sXL178\naHEAN34Dsopg8R/D4j+U6YaCIAiCIEwrUimMvv3tb/Mv//IvfOMb3+CBBx5Ieo4Io8ELOICH0NlF\n5w0GQwWwUin16wmI+abMFGEEcOUKPPoonDsH3/0ufPrTqY5ImBaE++CN7XB9DyeK/yevHOsjJyeH\nT37yk5SVlaU6OmGGEQ6H2bNnD8eOHaO0tJQdO3ak9PvQ5/Nx8uRJ6urquH79OiaTiaVLl7JmzRoW\nLFiQvo2y29/WGUetr4HZCYs+DzV/Co7Rm4QLgiAIgiBkAqnOMJqOTIowirtQKRCbT6yUarrFOMfF\nTBJGAN3d8PGPw7598D/+B3z5y1I1JNwGQTccegw63oZ1/wELfpuWlhZ++tOf4vf72b59u/wiFqaM\ntrY2du7cyY0bN1i3bh1bt27FbE6f6XzXrl2jvr6eEydO4Pf7ycvLY/Xq1dTW1g6fNJgudJ+E038P\nV34CBpOeerj0LyC3OtWRCYIgCIIg3DIijCaeycowegL4J2AWcAOYAzQopZbfdsRjYKYJI4BgED7/\nefjBD3SW0Xe+A7fR/1WYqQQ64cBD4KqH+/4T5nwidldvby8//elPaWlpYePGjWzYsCF9MymEjEcp\nxZEjR9i3bx92u50nn3ySRYsWpTqsEQmHwzQ0NFBfX09jYyMA8+fPp7a2lpqaGiwWS4ojTILnIpz5\nOjT+B0SDMOfjsOxLUDgl7QYFQRAEQRAmlDNnzlBTUyPvUSYIpRQNDQ2TIoyOA5uBvf3NrzcBzyql\nfmcC4r4pM1EYgW5V8bd/qzOMNm3SfY3S9QNuIQ3xXdfjuHvPw/0/h9mPDTslHA7z2muvcfz4cZYt\nW8aTTz55W5OpBCEZvb29vPzyy1y8eJElS5bw+OOPk52dOY2a3W53rFF2d3c3WVlZsUbZFRUV6fci\nxtcGZ78B5/8NQj1Q8SAs+yso/aikqwqCIAiCkDFcunSJnJwcioqK0u/1VoahlKKzs5Pe3l7mz5+f\ncN9ECKP3lFJr+8VRrVIqajAYjkvT66nh+efhs5+FRYv0BLV581IdkZD29DXD/q3ga4ENu6B8y4in\nDmR+7NmzJ9ZPprS0dAqDFaYzZ86c4dVXXyUcDvPggw/ykY98JGP/4CuluHz5MnV1dZw5c4ZwOExZ\nWRlr1qxh1apV6ddEPujW0ujsN8B/A4ruhuVf0vLYYEx1dIIgCIIgCKMSCoW4evUqfr8/1aFMC2w2\nG5WVlcMy5SdCGO0FngK+BhSjy9LuVErde9tRj4GZLowADh6E7dshKwteew3WJv3nFASgtxH2b4Gg\nCzb+AkrG9mN64cIFXnzxRQKBAKtXr2bTpk3k5uZOcrDCdCUYDPLLX/6Suro6Kioq2LFjB8XFxakO\na8Lw+/2cOnWKuro6t5EbGAAAIABJREFUWltbMRqN1NTUsGbNGhYuXIjRmEZCJuyDi9+HM/8IfZch\nbzks+0uY+0kwpmFpnSAIgiAIgjBl3LIwMhgMi4AyoB7wAUbgGWAu8LpS6v2JD3c4Iow0Z87AI4/A\njRvwwgvwxBOpjkhIO9yndWZRNAibfg2FHxnXw71eL2+++SbvvvsuBoOBdevWsX79emw2280fLAj9\ntLS0sHPnTrq6uli/fj0bN27EZDKlOqxJo62tjbq6Ok6cOIHP5yMnJ4c1a9awZs0aCgvTaNR9NKwb\nY5/+/8D9IWTPg6VfhAWfBbM91dEJgiAIgiAIKeB2hNFrwJeUUieHHF8J/L9KqccnNNIREGE0SFub\nFkXvvgvf/Cb80R+lOiIhbXDV655FBjNs3gP5K279Ui4XBw4c4OTJk9jtdjZs2MDatWvTapqVkH5E\no1EOHz7MoUOHcDqdbN++nXkzqIY2Eolw9uxZ6uvruXDhAkop5s6dS21tLUuXLk2f/mAqCi2vw+mv\nQcc7YMnXZavl26BiGzgXpDpCQRAEQRAEYYq4HWH0rlLqzhHuO6mUWjlBMY6KCKNEvF545hl4+WX4\nkz+Br38dpvGH98JY6DgCBx4GSw5s3jdh47SvXbvG3r17uXjxIvn5+WzevJkVK1ZkbA8aYfLo7u7m\npZdeoqmpiRUrVvDoo4/O6My0np4ejh8/Tl1dHS6XC6vVyooVK6itrWX27Nnp8TOkFNx4Ay79CK7v\nAW+zPu5coOVR+TYo2wRZaZQlJQiCIAiCIEwotyOMziulkr7zNBgMF5RSUzITWYTRcCIR+OIX4Rvf\ngKeegh//GNKt36owRbQdhEOPg60ctuyF7LkT/hSNjY3s3buX69evU1FRwdatW1mwQLIQBM2JEyfY\nvXs3SikeffRRVq5cmR5CJA1QStHU1ERdXR2nT58mFApRUlLCmjVrWL16dfpMi1MKes/BtT1aHrUd\ngHCvbo5dcIfOPCrfBsX3gCkr1dEKgiAIgiAIE8TtCKMXgP1Kqe8MOf45YJtS6jcnNNIREGE0Mv/6\nrzrL6I474NVXoaws1REJU0rrL+DNHTojYPNesFdM2lMppTh58iT79+/H7XazcOFCtm7dSnl5+aQ9\np5De+P1+du/ezcmTJ6mqqmL79u0UFBSkOqy0JRAIcOrUKerr67l69SpGo5HFixdTW1vLokWL0qtR\ndjQEnce0QGrbq7MYVQRMDij9KJRv1RIpbwWIHBQEQRAEQchYbkcYlQEvAUFgoMH1WsAKbFdKXZ/g\nWJMiwmh0XnkFnn4aSkth925YujTVEQlTQvNOeOuT+g3bpl+DbWomUIXDYd59913eeOMN/H4/q1at\nYtOmTeTn50/J8wvpwZUrV3jppZfo6elh48aNrF+/Pr2ER5rT3t4ea5Td19eH0+lk9erVrFmzJj2n\nyYV6dDbj9f4MpJ6z+ritXMuj8m1665iV0jAFQRAEQRCE8XHLwijuApuAgQ66Hyql9k9gfDdFhNHN\nee89eOwxCATgpZdg48ZURyRMKpeehyOfgaK7YONusE69rPH7/Rw+fJijR4+ilOKuu+7i/vvvx26X\naUvTmUgkwsGDB3nrrbfIz89nx44dVFZWpjqsjCUSiXD+/Hnq6uo4f/48Simqqqqora1l+fLl6dMo\neyh9zf3yaK9egXZ9PG/5oDwq/ShYnKmNUxAEQRAEQRiV2xZGqUaE0di4fBkeeQQuXIDvfQ8+9alU\nRyRMChf+Dxz7b7oZ7YZdKX9D5na7OXjwIPX19dhsNtavX89dd92FxWJJaVzCxNPZ2cnOnTtpbW2l\ntraWhx56KH2FRgbS29vLiRMnqKuro7OzE4vFwvLly6mtraWqqip9+0KpKHSfGOx/1P4mRPxgtOie\nRwMNtAvXglEmNAiCIAiCIKQTIoxmEN3dsGMHHDgAX/kK/PVfS3uJaUXDP8MHX4BZj8L6n4E5fbJ5\n2tra2LdvH+fPnyc3N5dNmzaxatUqKVOaBiil+OCDD/jVr36F2Wzm8ccfZ6nUvk4aSimam5upq6vj\nww8/JBQKUVRURG1tLatWrSInJyfVIY5OxA/tb2l5dG0PuOoABZZ8LboHGmg7F8ofKEEQBEEQhBQj\nwmiGEQzC7/4u/OhH8JnPwP/+3yBJABmOUnDqb+Hkl6Hq43Dvj8GUnv+oly9fZs+ePbS2tlJaWsrW\nrVtZtGhR+mZHCKPi9Xp59dVXaWhoYMGCBTz55JPk5uamOqwZQzAY5MMPP6S+vp6mpiYMBgPV1dXU\n1tZSXV2NyZQBGTv+DmjbNyiQvE36ePY8LY4qtkHZZsgqSmmYgiAIgiAIMxERRjMQpeCrX4W/+RvY\nvBlefBGkJ3GGohQc/xKc/nuY/2lY9z0wmlMd1agopTh9+jT79u3D5XIxb948tm7dyuzZs1MdmjAO\nGhsbefnll/H5fGzZsoW7775bxF8K6ejooL6+nuPHj+PxeMjOzmbVqlXU1tZSUlKS6vDGhlLQe2Gw\neXbbft1QGwMUfmSwfK3kPjBlpTpaQRAEQRCEaY8IoxnMj34En/scVFfrCWpz56Y6ImFcqCi8/3/D\nuW9B9e/D2m+BIXNKvCKRCO+99x5vvPEGXq+X5cuXs3nzZgoLC1MdmjAK4XCYvXv3cvToUUpKStix\nYwfl5eWpDkvoJxqNcuHCBerq6jh37hzRaJTKykrWrFnDihUryMrKINESDUPnu4MCqeMIqDCY7FC6\nYbCBdv4qKV8TBEEQBEGYBEQYzXD279d9jex2ePVVWJv0W0FIO6IROPY5uPgDWPpFWPMPGfuGKRAI\n8NZbb3HkyBEikQhr165lw4YNZGdnpzo0YQhtbW3s3LmTGzducNddd7F161ZpYJ7GeDyeWKPsjo4O\nzGZzrFH2nDlzMi8jLNQLNw4NNtDuOaOP20qhbOtg/yOHZCsKgiAIgiBMBCKMBE6f1hPU2tvhJz+B\nxx9PdUTCqERD8Paz0PRfsPJ/wIovZ6wsiqe3t5eDBw9SV1eHxWLhvvvu4+6775ZJW2mAUoqjR4+y\nd+9ebDYbTz75JNXV1akOSxgjSilaWlqoq6vj1KlTBINBCgsLWbNmDatXr87cvlPeq3B97+Dyt+nj\nuUt15lH5NijbCJY0bwQuCIIgCIKQpogwEgC4fl2Log8+gG9+E/7wD1MdkZCUiB8O/wa0vAq1/6iz\ni6YZHR0d7Nu3j4aGBpxOJxs3bqS2tlYmqqWI3t5edu3aRWNjI4sXL+aJJ56Q7K8MJhgMcubMGerq\n6rhy5QoGg4GFCxdSW1vLkiVLMqNRdjKUgu6Tg+VrN96AiA8MZii+e7D/UdGdad/nTRAEQRAEIV0Q\nYSTE6OuDZ56BXbvgT/8U/vEfIVPfO0xLwn3wxlP6k/Q7/033LZrGNDU1sWfPHq5evUpxcTFbtmxh\nyZIlmVdGk8E0NDTwyiuvEAqFePDBB7njjjvk//80oquri/r6eurr6+nt7cXhcLBy5Upqa2spKytL\ndXi3R8QP7W/3C6S90PU+oMCSC2WbBgVSTvW0yNAUBEEQBEGYDEQYCQlEIvCFL8C//Ats3w7PPw8O\nR6qjEgi64dCj0PEOrPsPWPDbqY5oSlBK0dDQwL59++js7KSqqopt27ZRVVWV6tCmNcFgkF/96ld8\n8MEHVFRUsGPHDoqLi1MdljBJRKNRGhsbqa+vp6GhgWg0yqxZs1izZg0rV67EZrOlOsTbJ9Cpp64N\n9D/qu6yPO+bo3kdlW6F8C9gyZKKcIAiCIAjCFCDCSEjKN7+ps4zuvFM3wy4tTXVEM5hAJxx4EFzH\n4b4XYM7HUx3RlBONRvnggw84dOgQHo+HmpoatmzZIhJjEmhtbWXnzp10dnZy3333sWnTpswtUxLG\njdfrjTXKvnHjBgaDgYqKCqqqqpgzZw5VVVXk5GR4TyClwNM4mH10fT+EuvV9BbU686hiG5SsB9M0\nkGWCIAiCIAi3iAgjYUR27YKnn4bycti9G2pqUh3RDMR3HfZvg97zcP+LMPvRVEeUUoLBIO+88w5v\nv/02oVCIj3zkI2zcuBGn05nq0DKeaDTKW2+9xcGDB3E6nWzfvp158+alOiwhRSiluHbtGmfOnKG5\nuZmWlhbC4TAABQUFMXk0Z84ciouLM7tUMRrWJWsD/Y863tHDBUw2KLl/sIF2wWowSC81QRAEQRBm\nDiKMhFF591147DEIBuHll+GjH011RDOIvmbYvwV8rbDhFSjfnOqI0oa+vj4OHTrE+++/j8lk4p57\n7uHee+8lKysr1aFlJN3d3bz88stcuXKF5cuX8+ijj2K321MdlpBGRCIRrl27RlNTE83NzTQ1NeH1\negGw2+1UVVXFBNKsWbMwmzO4sXTIo5tmDwgk94f6eFaJLlsb6H+ULaWxgiAIgiBMb0QYCTfl0iV4\n9FG4cAG+/33dGFuYZHobtSwKdsPG3VByb6ojSku6urrYt28fp0+fJjs7mw0bNnDHHXdICdU4OHny\nJK+//jpKKR555BFWrVqV2dkiwpSglKKrq4umpqaYROrs7ATAZDIxa9asWBZSVVUVjkxuhudt7S9d\n6y9h81/Xx3OX9MujrbqRtiU3tXEKgiAIgiBMMCKMhDHhcsGOHXDwIHz1q/Df/7sMlpk03Kdh/1aI\nBmHTr6HwI6mOKO1paWlhz549XLlyhcLCQjZv3syyZctEfIyC3+9n9+7dnDx5kqqqKrZv305BQUGq\nwxIymL6+vlj2UXNzM62trUSjUQCKi4uZM2dOTCIVFBRk5s+nUjrj6Poe3UD7xiGIeMFggqJ1g/2P\niu4CoyXV0QqCIAiCINwWIoyEMRMMwuc+B889B5/9LHz722CR18MTS1cdHHgADGbYvBfyl6c6ooxB\nKcX58+fZu3cv7e3tzJ49m61bt0ofniQ0NTWxc+dOenp6+OhHP8r999+P0Si9WYSJJRQK0dramlDG\nFggEAHA6nQl9kMrLyzPzezAS0D2PBgRS13uAAnMOlG0cLF/LXSKfsgiCIAiCkHGIMBLGhVLwla/o\ntXUr/PznkJeX6qimCe3vwMGHwZIHW/ZBzqJUR5SRRKNRjh8/zoEDB+jt7aW6upqtW7dSKqP+iEQi\nHDp0iMOHD5Ofn8+OHTuorKxMdVjCDEEpxY0bN2LyqKmpCbfbDYDFYqGysjImkCorKzOzJ1mgC9oO\nDPY/8lzUxx2Vg+VruUv07/mBZbKmNmZBEARBEIQRSEthZDAYTMB7QItS6rHRzhVhlBp++EOdbbRk\niZ6gNmdOqiPKcNoOwqHHwFYBW/ZC9txUR5TxhEIhjh49yuHDhwkGg6xevZpNmzaRmzsz+4x0dnby\n0ksv0dLSwpo1a3jooYcy8w25MK3o6elJyEBqa2tDKYXBYKCsrCwmkObMmZOZP7ueizrz6PpeaNsH\nQdfwc4xZYI0TSJZcvbXmgTl35Pvib5uzJYNJEARBEIQJJ12F0ReAtUCuCKP0Zd8++NjHwG6H11+H\nj0irnVuj9Rfw5g5wLoTNe8BekeqIphVer5c333yTd999F4PBwLp161i/fj02my3VoU0JSinq6ur4\n5S9/iclk4vHHH2fZsmWpDksQkhIIBLh69WpMIl29epVQKARAXl5eQhlbaWlpZvVBikagux68LRBy\nQ9Ctt6Ge/m3/sXBP3H1uCPUCN3k9ZjD1y6PcxOwly2jCKe5ca54uozNm8HQ7QRAEQRAmnLQTRgaD\noRL4IfB3wBdEGKU3H34IjzwCnZ3wk5/AY6P+awnDaHoR3n4a8lbCpl+BrTjVEU1buru72b9/PydP\nnsRut3P//fdz5513Zvb475vg9Xp59dVXaWhoYP78+Tz11FOZmaUhzFgikQhtbW0JWUgejweArKys\nmDyqqqpi9uzZWKZjYz0VhbBnuGAas3Dqvz8auvlzmbNvns2UTDjFyynTzJDxgiAIgjATSEdh9HPg\na0AO8EURRunP9etaFNXVwb/+K/zBH6Q6ogzh0nNw5DNQdDds3K1faAuTzrVr19i7dy8XL14kPz+f\nTZs2sXLlyszKVBgDjY2N7Nq1i76+PrZs2cI999wz7b5GYeahlKK7uzvWA6m5uZn29nYAjEYjFRUV\nCdPYsrOzUxxxmqAURPzJBdNYhVPQrSfC3QyjdfRspptmPg2U2GVgE3RBEARBmGaklTAyGAyPAY8o\npf7AYDBsZARhZDAYfg/4PYA5c+bcceXKlSmNUxhOXx88/TS8+ir82Z/BP/wDZOLAmynj/P+Gd38f\nyjbBhl1gcaY6ohlHY2Mje/fu5fr165SXl7Nt2zYWLFiQ6rBum3A4zL59+zhy5AjFxcV87GMfo7y8\nPNVhCcKk4fV6Y2VsTU1NtLa2EolEACgqKkrog1RYWCji9HaIhnSJ3EjCaUAwjSScBm7frMQOwziE\nUy6Y7HqZHYP7w27bREIJgiAIwjhJN2H0NeBTQBiwAbnATqXUsyM9RjKM0odIBP7kT+Bb39K9jZ57\nTvc3EobQ8M/wwRdg1qNw/88lfT+FKKU4efIk+/fvx+12s3DhQrZu3ZqxguXGjRvs3LmTtrY27rzz\nTrZt2zY9S3QEYRTC4TCtra2xErbm5mZ8Ph8ADocjoQ9SRUUFJpMpxRHPMJTSJXa3I5xCbogGx//c\nJtsoQmmCbxut0ohcEARByHjSShglPPkoGUbxiDBKL5SCb34TvvAFWLcOdu0CmWbej1Jw6m/h5Jdh\nzifgnudlnHKaEA6Heffdd3nzzTfx+XysWrWKTZs2kZ+fn+rQxoRSimPHjrFnzx5sNhtPPPEEixcv\nTnVYgpAWKKXo6OhI6IPkculpZWazmdmzZyf0QpopDfEznoh/UDhFfIkr7J2427cipkBnM8XLpEkX\nVNO3H58gCIKQOkQYCZPCSy/BM89ARQXs3g1LlqQ6ohSjFNT/FZz5B5j/27Duu/LiLg3x+/0cPnyY\no0ePopTizjvv5P7778fhcKQ6tBHxeDzs2rWLCxcuUF1dzRNPPIHTKSWOgjAaHo8noQ/StWvXGHjN\nU1pamlDGlpeXJ2VsM5loZHKF1NDbKnJrcRrMEyegrAVgK9Mrq0hK+QRBEGYwaSuMxooIo/Tl6FF4\n/HEIh+Hll2HDhlRHlCJUFN77Yzj/v6D692Htt+TFV5rjdrs5ePAg9fX1ZGVlsX79etatW5d25V1n\nz57llVdeIRgM8sADD7B27Vp5YysIt0AwGKSlpSUmkJqbmwkGdWZJTk5OQhlbWVkZRmnSJ0wW0dDk\nCqmht2+GwQS2UrCVD0ok+8D+kGPWAnl9IwiCMM0QYSRMKhcvwiOPwKVL8P3vw2/9VqojmmKiETj2\nObj4A1j6RVjzD9LTIIO4ceMGe/fu5fz58+Tm5rJx40ZWr16d8jeLwWCQX//617z//vuUl5ezY8cO\nSkpKUhqTIEwnotEoN27ciGUhNTU10dvbC4DVaqWysjKWgTR79mysVikvFjIQpSAaSBRIYS8Eu8Df\nppfvev/+9cFj/jYttoZiMCfKJXucULKVgz1u31ogr4cEIdVEInDggC4Hyc6G8vLhS6aNznhEGAmT\nTlcX7NgBhw7B3/0dfOlLM+Q1QiQI73wKmv4LVn4FVvz1DPnCpx+XL19mz549tLa2UlpaytatW1m0\naFFKsnlaW1vZuXMnnZ2d3HvvvWzatAmzWcobBWEyUUrhdrsT+iDduHEDAIPBQEVFRUIfpJycnBRH\nLAiTiFIQdA2KJN8QoeQbIpdUePg1jJY4mZQkWyleMlny5fWTIEwUSsHx4/D88/Cf/wnXrkFWFoRC\nEI0OP9/pTBRIFRXJxVJpKcjr0WmJCCNhSggE4Hd+B378Y73993+HNKvumVgifnjzE9D6GtR+HZb+\nWaojEm4TpRSnT59m3759uFwu5s2bx9atW5k9e/aUPH80GuXtt9/mwIEDZGdns337dubPnz8lzy0I\nwnD8fn/CJLaWlhbCYf3GuKCgIKGMrbi4WMpFhZmJimq5lCCRksml6+C/kbyHk9GaKJdGKomzlYEl\nT+SSICSjuVkLouefh1OntNx55BH41Kfgscf0G7OODrh+PXFduzb8mNs9/PoGAxQX31wslZdDvkjg\nTEKEkTBlKAV/8zfw1a/Ctm3ws59BXl6qo5oEwn1w6Elo2wd3/jtU/7dURyRMIJFIhPfff59Dhw7h\n9XpZvnw5mzdvprCwcNKe0+1289JLL3HlyhWWLVvGY489ht1un7TnEwRh/EQiEa5du5aQheT1egGw\n2+1UVVVRVVVFWVkZBQUF5OfnS3agIMSjohDoGkUoxR0LtI8gl7KSiKX4kri4Y5ZcedMqTG/cbnjx\nRXjuOV3qoRTcey88+yx84hNa8NwKPh+0tY1NLgWTTJq0WseWtVRWBvJ6N+WIMBKmnO9/H37v92Dp\nUnj9daiqSnVEE0jQDYcehY53YN33YcGnUx2RMEkEAgHefvtt3nnnHSKRCHfccQcf/ehHyZ7gWu9T\np07x2muvoZTi4YcfZvXq1ZKpIAgZgFKKrq6uhGlsnZ2dCefk5ORQUFAQE0gD+wUFBTidTvlZF4SR\nUFEIdA6KJN9IJXEDcilJqY3JNrwkbqhkspVp0WTOEbkkZAbBIPzylzqT6JVXdJlHdbWWRM88AwsX\nTl0sSkF393CJlEwydXTo84eSlzc2uVRcDCbT1H1tMwgRRkJK2LsXPvYx3Uft9dehtjbVEU0AgU44\n8CB0n4B7/xPmfDzVEQlTQG9vLwcPHqSurg6LxcJ9993H3XfffdtNcAOBALt37+bEiRNUVlayffv2\nSc1iEgRh8unr66OzsxOXy0V3dzculyu2BppqD2A2mxMk0lChJI22BWGMRCMQ6BhDSVwb+NuBJO9/\nTPbkzbuTlclZnFP+JQozHKXgyBEtiX76U+js1ALl6ae1KLrzzvQXnqEQtLePLpcGBJPHM/zxRqPu\nozSWkrgcEcDjQYRRGtB37Roffuc7mKxWTFYrxqwsvZ+VpZfVinHo7bj9oY8xWq0YM8CwnjqlS2e7\nuuC//kvvZyy+67B/G/Seh/t3wuxM/mKEW6Gjo4N9+/bR0NCA0+lk48aN1NbW3tJEtaamJl566SXc\nbjcbNmxgw4YNKZ/MJgjC5BIOhxMk0lChFByS1u9wOBIEUrxUys3Nld8ZgnArRMOJcmmkkjh/mz4v\nqVxyJEok+yzIXwkFtXprdkz5lyVMU86f1w1in38eGhvBZoOnntKS6IEHpm/DWI8neUlcshVO0nTf\nbh97SZx8OCPCKB1wnTnDgc9/nkggQCQQIBpKMqp0nBjN5gTJFNuPk0qmIWLK2C+fEu4fKqzGcs2s\nLIwWy5hS6a9d033W6uvhW9+C3//92/7Sp56+Jti3BfzXYMMrUL451REJKaSpqYm9e/fS3NxMcXEx\nW7ZsYcmSJWP6eYhEIrzxxhu8+eab5OXlsWPHDqqmVc2mIAi3glIKn8+XIJDipZLb7Sb+NZvRaCQ/\nP39YVtKAVJIeaIIwAUTDutztZiVx3mYI9ejHGIyQW6PlUWytgSzJIBbGSHu7ziJ6/nk4elRnymze\nrCXRjh2Qm5vqCNOHaFRnJoxFLA0pGY9RWDi2rKXCQp3lNA0RYZSGqGiUSDBINBjUEql/G43bT7g/\n2TlJHhONOx67Rtz50YHjgQAq2VjFcTJWKaVMWRw+YuVScxYr11jZsNmKOYmUSpZ5Neya8cenoplo\n7wUti0Ju2LgbSu6d/OcU0h6lFGfPnmXv3r10dnZSVVXFtm3bRpU/XV1d7Ny5k5aWFlavXs3DDz9M\nVlbWFEYtCEKmEolE6OnpSSqTXC4XPp8v4XybzTZiqVteXh6mDMhSFoSMQSnouwKuOr26+re+lsFz\nsudqcRQvkhyVUjYjaHw+3Y/o+ed1f6JwGFav1pLo6adhiib2TmuCQbhxI3nj7qElcUP+pgJ66lxZ\n2aBAqqmBr3996r+OSUCEkZCUaDg8XEzFS6WhkilORCWIqSHnDJVgA+eHAwG6O4KEfEFs5gAmFbjt\nr8GSm0vBkiV61dRQUFND7sKFmCYqtdB9GvZvhWgQNv0aCj8yMdcVpg3RaJS6ujoOHjyIx+OhpqaG\nLVu2UBw3lUIpRX19Pb/4xS8wmUw89thjLF++PIVRC4Iw3fD7/cNK3AZud3d3E4kMTpsyGAzk5uYm\nlUkFBQU4HA5pxi0IE4G/fVAiuer1tuccsTK3rOLhEimnGowidGcEkYiebPbcc3rSWW+vFkPPPKNF\n0cqVqY5wZqKULom72XS4oiLYsyfV0U4IIoyEtEEp+Od/hi9+Ee5ep3jp5yEKcpNIqIHbo2RaRQIB\nfG1tuM6epfvcOSJ+P6BL9XIXLowJpIKaGgqWLMGalze+YLs+0A2ujRbYtAfy5Q2+MDLBYJAjR47w\n1ltvEQqFqK2tZePGjZhMJl577TXOnDnDvHnzeOqpp8gb7/eiIAjCbaCUore3d8TsJM+Q5qIWi2XE\n7KT8/Hws07VnhiBMBSGPHp4Sn43kPqU/nATdH6lg9aBAKqyFvBVgkozkacOJEzqT6D//E1padIPm\nj38cPvUp2LBBJoEJU44IIyHtePFFLc5nz4bdu2Hx4tu7XjQSoffKFVwNDXSfPYuroQFXQwP+jo7Y\nOY6KikSJVFND9uzZyT9FbX8HDj4MljzYsg9yFt1egMKMoa+vj0OHDvH+++9jMpmwWq34fD42b97M\nvffeK5/aC4KQdoRCoWHZSfFSKTSk76LT6RxRKOXk5MjvOUEYL5Eg9JxJLGdz1UO4f7KiwQx5ywb7\nIQ1srfIBVMZw9Sq88IIWRSdO6PKmhx/Wb4gef1w3aRaEFCHCSEhLjhyBJ57Q2Zgvvwz33z/xz+Fr\nb9cZSP0CyXX2LD2XLulUJ8CSk0PBkiXkx0mkPGczpnd2gK1Cy6LsORMfmDDt6erqYv/+/XR1dfH4\n449TUVGR6pAEQRDGjVKKvr6+pFPdXC4XPT09CeebTKYEiTRUKEnfNkEYIyoKnouDpWwDIsl/ffAc\n54LEcrbCWrBaMICfAAAgAElEQVTL6420oadHf0r+/PNw4IB+/3H33VoS/cZvQElJqiMUYijAC3QC\nXf3b+JXsWDnwRiqCnXBEGAlpS2MjPPIIXL4MP/whfPKTk/+cYa+X7gsXEiSS6+xZIv3NzQxGRV6Z\ngYKPbKNgeS35/f2RsvLzJz84QRAEQcggwuEwbrc7aamby+UiEEjsV2i324eVuMU34zZO0wk0gjBh\n+K4Pb67taRy831aWKJAKarVYMsjP1pQQCsGvfqUl0a5d4PfDwoW63OyZZ2CRVC1MPmHGLn3ij43W\nX9cJFAJFcWsh8HeT8hVMNSKMhLSmqwueegrefBO+9jX4y7+c+oER0UgEz9Hv4vrFl3B1V+IKrKX7\n3EV87e2xcxzl5cNL2iorJfVeEARBEEbA5/ONWOrmdruJxk1sNRgM5OXlDWvCXVBQQGFhITabLYVf\niSCkMUE3dB+PK2er04NbVFjfb87pL2VbMyiScpeBaYKGxMx0lIJjx7Qk+slPoKNDN0T+5Cd1NtG6\ndTIN75ZQQA9jFz4DqyfZxfoxkyh9ihgugoYeKwSmd3asCCMh7QkE4LOf1b3fPvc5+Ld/gyntqXnx\nR3D0/4Kiu2Hj7lhNuK+jI6EnUnd/SZvqf4FrcTpjGUixkraFCzFJyr0gCIIgjEo0GqWnp2fEZtxe\nrzfhfIfDQVFREYWFhRQWFlJUVBS7bZ2o6aiCMF2IBMD9YWImUvdxCPfp+41WyFuemI2UvxosztTG\nnUk0NmpJ9PzzcOEC2Gy638azz8KDD4L8XorDz/ikT1f/Co9yzXzGJnzilxMQeTcUEUZCRqAUfPnL\n8Ld/Cw88AD/7GeTmTsETn/82vPv7ULYFProLzNmjnh72+XBfuBCTSAMiKTxQ0mY2kzt//rBsJClp\nEwRBEISxEwgE6O7upquri66uLjo7O2PboZPdnE5nTB4N3ZrN5hR9BYKQZkQj4LmQmInkqoPAwJAY\nA+RUJ5azFdSCTXrtxOjogP/6Ly2J3nlHZw5t3KhLznbsgGk/CTcCdDO+Uq9OdH+gkbAzdukzcKwA\nnS0kTAQijISM4nvfg89/HpYt0xPUKisn8cnO/E+o+zOY9Sjc/3Mw3Vq6u4pG6W1uHuyL1N8bydfW\nFjvHUV4+LBvJWVmJQfo1CIIgCMK4CAaDMXk0IJIGbg/NTMrLy0ualVRQUIBJxlcLMx2lwNfSL5Hq\nByVS3+XBc+yzE8vZCmohe97MKbPy+eC117Qk2r0bwmFYsUJLoqefhqqqVEd4Cyigj/GXe3X3PzYZ\nRoZLnrGIIJkQl2pEGAkZx69/DR//OOTkwOuvw5o1E/wESsGpr8LJv4E5n4B7np+UOm5/V1dCSZur\noUGXtEUiAJizsynol0gDMim/ulpK2gRBEAThFvH7/QnZSPFbv98fO89gMJCfn5+0zE0acAsznqBL\nC6T4bKSeM3p6G4Alf7hEyq0B4zTJ+ohG4Y034Lnn4Oc/1xPPZs2C3/otXXK2enWqI0SXa/WgJY57\nhG38/lAJFBzl2jmMT/oUAbloaSRkGiKMhIzk5Ek9Qa27W2d+PvzwBF1YKaj/Szjzj7DgM3DXd8E4\ndZ8whv3+hJK2AaEU7v9E1GAyDStpy6+pwVZQMGUxCoIgCMJ0QymFz+dLmpXU2dlJKBSKnWs0Giko\nKEha5pabmysDL6YDSkEkorNFwmE93Wq0/dHuB51lsmDB9C5JCvug+2RiOVv3CYj0i1iTDfJWJpaz\n5a8EsyO1cY+HU6d0JtGPfwxXr4LTqT/FfvZZXXo2YVmJCvAxuuy5mQTyDLvqcHKAvP411syfQkD6\nL80kRBgJGUtrKzz2GJw4Af/rf+lStdtCReG9P4Lz/wbVfwBr/zUtxoyqaBTP1avD+iJ5r1+PnWMv\nK9MCKa6szVlVJSVtgiAIgnCbKKXweDxJs5K6uroIhwcbr5rN5lhG0tAyN6fTmdkyabwS5Xb2J/Pa\nY92fDAoLtTiKX/Pn621V1RRPdZkComHoPTe8L1LQpe83GCFnyfC+SFmFqY07ntZWeOEFnU10/LiW\nQg89pCXRE0+AI5nwijByds9Y5U9o2FUTMaMbO+cN2SY7luycXEDKboWbI8JIyGg8HvjN39Qlw3/x\nF/C1r8EtOZJoGI5+Di79EJb+Oaz5+7Svvfa7XMNL2i5eHCxpczgoWLIkoTdSXnU1Zhk9LAiCIAgT\nglKKnp6epCKpq6uLaP/kVACr1ZqQkRQvlOx2+9TLJK8Xzp6FM2cGV0MDuFxTK1HGgsUCZvPgNpP2\no1FoaoKLFxPX5cuJ/09NJpgzJ7lMWrBAy6Y0f206JpQCb9NwieS9OniOY06iQCqoBUflFH39Cnrb\nYfcL8Kufwpl3tFtZuxC2rIW7FoNzoLnzSBKodwzPk834BM/QY3ZkopcwFYgwEjKecBj+6I/g29+G\nT3wCfvQjPblyzESC8M6z0PQzWPkVWPHXGfsHORII4G5sTJBIroYGwn16TKrBaCR3/nzyh0xpsxWm\n0Sc5giAIgjANiEajuN3upD2Turu7iX+dbbPZkk5xKyoqwna7H/R0dSVKoYF15Yp+8w7607aFC2Hp\nUigrS71kid+frs3HIxFoaRkukgZWe3vi+bm5I2cnzZ0Lmd7j0t8RJ5D6G2z3nCXWRDmraFAe5S3T\nUil7rhZJpvivPcr4evf0b1U3BNvB2AuWKKNjYvyCJ36bh0zxEjIFEUbCtEAp+Kd/gj//c7j3Xti1\nC4qLx/DAiB/e/AS0vga1X4elfzbpsU41Khqlr6VlmERKKGkrLR3sidSfkZQzZ46UtAmCIAjCJBCJ\nRHC5XEnL3Nxud8K5DocjaVZSYWEhVmt/LxGltHxIJoZu3Bi8mM0GNTVaDA1sly6F6urMFw7TDY8H\nLl1KLpMuXYJAYPBcg0GPDh4pO6m0dJwfhkbRTZMjk7Adx7kRL/hb+lcrBK5D4AaYomBBt9KxAFlm\nsBq16DGPJRPOAeSDyoM+M1zpgbPXoS0AQRvMXQ0r74cFtWAYKoDy+x+fmR8uCxNPKBKi09dJe187\nHd4O2r3tmAwmPrbsY6kObUIQYSRMK37+cz3FsrJSS6Nly0Y5OeSBN56EtgNw579D9e02QcosAt3d\nw0ra3BcvovrTo812u5ZHAxPa+qe0me0y3lIQBEEQJotwODys6fbA7d7exFIXZzhMkdtNYUsLRW1t\nFHZ2UtTZSaFSmBcvHhRCA2vu3Fus3RfGRgQ9Yaqjf7UDLnQ/mgkULyoMgT7wesDvAX8fBLwQ8kLQ\nDyqkk2DM6K3FADYLZJnAatJyxWwAs9KDqwxDnyMdMQBmUCYgCyIOiFghZICggkBQj7j39kIgov+X\nB9HbqB3Ms8EyB7IWgD8P3rsMu49C/VXos8KjT+g3EQ89BFZp6jxTUUrhDrjp8HZo+RMngWLH4vf7\n2nEH3MOus7BgIRf++EIKvoKJR4SRMO145x3dg66jQ3+oct99sH69XjU1/a+Tgm44+Ah0HoG7fwDz\nP5XqsNOCSDCYUNLW3b8NefSkhaElbYVLl8qUNkEQBEGYaEboLxS8fJmunBw6CwvpKiqis6qKrvJy\nOp1OvENEUF5eXtKspIKCAkzTtcxrQlFAH1r6dMRtO0Y55iJWQjUuBszOwNaU5Ng4thHAG4I+H/T6\nodcLvX3Q3QduD/jDiX7Ilg05+ZBTAHmFkFsEBUVQUKKPGS03ec7bjPem1zYx5pHsSkGgA/qu6F5J\nfVegrwlc5+HaSQhcA8fQhtJGcMyG7DngmKu32XP7y9769y05Y3t+Ia0IhANJJc9oEigcTZ6lZjVZ\nKXGUUJJdQrGjmGJHMSWOkoRtsaOYkuwSShwllDnLpvirnRxEGAnTkqtX4Wc/g8OH9RrIxi4shIc2\ndfBPjz1IqfUkkbtfwLJgeqQLThZKKfpaW3GdOTOYjXTmTPIpbf0SqaCmhuzKysyeBiMIgiAIk814\n+wvFr5oa3demH7/fn7T5dmdnJ36/P3aewWAgPz8/aZlbXl4exmmbgRRiMPtnLPKnAwgkvZKWGcVA\nyZBtsmMDY8hHkiJT/P9bKd0faaRSt+bmwe890KWK8eVtQ/dzJl+keIIeznee53zXec53nqcv1IfT\n6iTbko3T6kxY2da4Y1Ezzj2HMP/4BT0hJxTS5Qef/k148n7IC2mZFC+W+q6At1lnccVjydfiKHvO\nYP+keLFkL0+L6crTmaiK4vK5Rsz06fANyqCB+z1BT9JrGTBQaC9MkDzF9rj9JBIo25I9I9/biDAS\npj1KwYULWhydPHaN/7ZkG1X5jXzsGy+yv+ER7rprMAPpnntAkmXGRqC7O7Ev0pkz9Fy6FJvSZnE6\nY6Vshf0yKXfhQkyS5isIgiDMJMbTX2jJkuFi6Db7Cyml8Pl8SZtvd3V1EQwGY+cajUby8/NHXE6n\nM03eMCl0Y+OxSJ+Bbfco18tjdPkzVATlMm172AQCyae6XboEjY3Q05N4fknJyL2TKivH3LTcF/LR\n6GqMiaFznediguia51rCuSaDiYhKXjpniML9TfDsCfjEh5AfgNYc2LnGxuvr8mmaV0D2EMk0VD7l\nWBwUGcOU4KUw6iEv4sYZ6sIebCcrcB2zrxVDaMj3k9ECjqpEmZSwXwVmx5j/GWYC3pA3IePnZqVf\nnb5Ooip5Q3KHxTFc8gwRPvHHCuwFmI3SeHwsiDASZg59TbBvC/iv4Vr1KocaNsUykN5/f3Cy6YoV\ngwJp/Xo94TQtXhtlAGG/H/eFCwnZSN1nzxL2+QAwms3kLVo0KJKWLiV/yRKsU/DplCAIgiBMKuGw\nfmM9VAo1NEB876H8/OFSaKC/0BSXiiml6OvrS+iV5HK56O7upru7G6/Xm3C+yWSKyaO8vLwJFEpB\nhouem4mgoWVFA1gZPeNn6LGBDCDhpigFLldymXTxos6Mi8SJHItFf1/3C6Tw3CraSrNpzFecdPZx\nKnhVS6Gu8zS7m1Fx5Xyl2aVUF1ZTXVRNdWE1i4sWU11YzaLCRTgsDoKRIJ6gh75QH56gh/CpE+T+\n7BVKd+3F0dpOyJ7F+Y0r+WDLMj5cUUZvxIsn6El4TPzqC+pjaowlhTlGWGKzsSjLyqIsC3MtRqrM\nitmmMGWGAEX4MQ65ls/kxGspIWArI2SrQDmqMGTPw5yzgKzcxTicc7BbHGkiZcdHJBqh09c5rOxr\nNAnkDXmTXstoMMZEz0gSKL4srNhRjMMiMm6yEGEkzAx6L2hZFHLDxl9AyT0Jd3u9cOzYYAnb228P\nvrarrEwUSCtWTN8Jr5NBNBLB09w8rKTN39kZOye7spLCOIlUUFODvawsI/9gCoIgCNMcn294f6Ez\nZ+D8eYjL1mH27OElZANj6zPk71swGMTtdscE0tCVXCjlUVpqpaTEQGFhlPz8EDk5AbKzvVitPRgM\nnQwXQT3DnzxGAWMr/RrYdzJts3/SnXCY8JVL3DhxhK7T7+E/dxrjpctkt9ygpM1DYV9idojLbuB6\nqZ2eWcWE51VhWVRD/rJaKlbdR071ci2cRuPaNXjhBXj+eair0y/QH3gAnn0WnnwSsrPHFb5SCl/Y\nlyCQEqTSENEUOyc0/Jg/2Isz0kOR6qPMEGCOGeZaYI6Z2L5zSAWbLwpNYWiJmLiurNzATpfBSbcp\nl15LIX5LMVnWnFGzo4aV5fUvq2nsUlQphSfoGbH3TzIJ5PK5RpRtOdacYZJntEygfFs+xkws71NK\nlzJG/HprnR5lKyKMhOlP94ewf6v+wd30ayisvelDIhE4eRLeeksLpDff1NnkoNsF3HPPoEC66y5w\niNQeN7729mElbb1NTbG6+ayCglhfpIGVM28eRrOkjwqCIAhTgMuVvIzs8uVx9xfKbPyMlP0TibQR\nDl8jErkBdGAydWGx9GA0Ji8XCoXM+P05hEK5RCIFKFWC0ViKxVJBVlYlWVmzMBhKScz+kb/76UZU\nRbnaczVp+dhF10VC0cHsL6fVGcsOWmGtYrUvl8U9FirbA2RfbRvMTrp0SfcYGsBo1Gn+yfomnTun\nJdHevRCNwtq1esLZb/6mFrJpRiQawRsakuEU6CXgu47yXMbou4rZ14ot0IYj1EFOqIv8aA95ypdw\nnaiC9qiJpjBcDikuBaM0hbVkuhLS2+7kFVuYjeYRRZPNbMMdcCcIoUAkef8us9E8PNNnSO+f+PuL\nHEXYzLaJ/l86MioKkQBEfFrcRP16O3TFjvtGuS/JOcmuF/VD2Ke3AyVzuTXw2Jmp+7onERFGwvSm\n6wM48AAYrbB5L+Qtu6XLKKXLuQcykA4fhlOn9H1mM9xxx6BAuu8+Xc4tjJ9QXx/d584llrSdP0+0\n/xNbU1YW+YsXD0qkpUvJr67GLMZOECae7m79ia3DoZuaxi9JsxSmCyP1F2pogLa2wfMmqb/Q1BIA\nutCTvAZWsttDG0Mnbxqrs3gKGS37JxTKp7c3i+5uM11dJrq6/LjdPSNmKJnN5lFL3rKzZ2bT2VSg\nlOK65/qgEBpoOt11ngtdF/CHBxup2812FhUuGlY+Vl1UTVn2GDPGIxFUSwuhCxfwNTbibWrC29aG\nr6MDr9uNNxLB53Dgs9sxRqPkGgzkrVhB/ubN5K1YQV5eHpabZSRlGpGAbsAda8bdlLCv+powRBPF\nTtjkwGcpptdSiNuUh8uYww0ctCkrrVEzrSHoCXsTMqV8IR95trybln6VOErIzcod/d9TKYiGRpcu\nYxEvo0qcUa4VDY4c25gwgMkOJlviMsbfto9yX//KKoUFn77NWNIDEUbC9KX9bTj4CFjyYMs+yFk0\noZd3uXTp2kAW0rFjuk8g6NeU8QJp0aKMyT5PO6KhED2XLw8raQsONF00GMidP5+CJUtiEqmgpgZb\nUVFqAxeETEQp/QvtO9/RoybjJislYLcPl0i3urKz5RekMPlkYH+h5IRIFDwjSZ9kt31JrhdPHrr8\nq4ix9f4pQE/6unUCgcCoJW8+X2LM8UIp2XI4MrP/S6pQStHh7YhlBw0IoXOd57jQdSFhwpTVZGVB\nwYJBGRTXX2h27uxhJURKKfx+Pz6fD6/Xi9frHbaf7L5IJHl2GkCWxYLDYCBiNNIbCDD0varD4SAv\nLy/pmpbfHyoK/vYkU976xZL3CgQ6Ex9jMIF9dmJjbsfsftGTLBtnlEydkbJ0xtgHakSMWTcRNkPE\nTbL7xit4Bs4zmOU1yRBEGAnTi2gY3Kfhxhtw/K/APktnFmXPmfSnDgR08+yBDKS33tLTcgFKSxP7\nIK1Zc/OybGFklFJ4r10bVtLW19oaO8deWjqspM1ZVYVh2o4LFoTboL0dfvQj+O539RvonBz4rd+C\np57SNbq9veNffX1je26DAZzOiRNQWVnyYm8mM9b+QrNmJRdDU9JfKAK4SRQ7Y5U+I2X7DOBEi5yB\nVTjC/tDb+dyu/JkMhgoll8uVcFuE0tjo9ncnLR8733Webv/gtC+TwcT8gvkJQmhx0WIW5i2k2FpM\nMBAcJnhG2470XtJgMGC323E4HDgcDux2+7Db8duBfWPca7hIJEJvby9utzu2uru76enpie2HQomN\n0c1mc0wg5ebmxjLZ4o+Zp1vrg3Bfv0hqShRL3oHtVd22Ix6DMU6y2McgZMYoZYw2MI9wvdhjsvTz\nC2mDCCMhc1FKp2l2HoXOY9BxFLreh0h/enPBGt3g2l6ekvCiUf2+a0AeHT6sP9wEXeFx992DAunu\nu/X7HOH2CLrduM6eTchGcjc2ovo/rTJnZw9mIvVnI+UtWoTJKtNRhBlINAr79+tsopde0r0j7rkH\nfvd34Td+Y9zNQocRiWhpdCuyKdkKJO+nMAyzeeLkU06Ovp5w+yilvyfCYb1CocH9+DXS8ZHu6+3V\nf2xH6i+0YEHy/kJ5ebf5BUWBXm5N+rhvcm07Y5M8yaTPzPp7FggEhmUljSaULBbLqCVvmSyUPEEP\nF7ouDCsfO9d5jg5vR+w8Cxaqc6qpzq1mXvY8ZtlnUWIpIc+Uh03ZCPgDw6RQYJTfvyaTaUTRk0wC\nORwOsrKyJv3/80CG08D3Q7xYGlgez3AB63Q6Y98bubm5sf0BqWSz2TL2eyQp0QgE2nVmTUzcyN89\nYRARRkLmEOyGrve0GOo8pkWRv7+/gDELCmqh6C4oXqe3zoVp9ylza+ugPDp8GOrr9Xs2oxFWr07M\nQpo1K9XRTg8igQDuxsbEkraGBsL9fRMMZjN5CxYkSKSCJUuw3vabCUFIU1pb4fvfh+99TzcZLSiA\nT38aPvc5PQYyXQmFbl02eTzDj4XDN39O0L1rJrL8zmjUv/jHK0zGK1LS4THxx0cpM7ltBvoLDUwh\ni+8vZBut2aoC+hhd9Ix0XzdaGo2ElVvL9CkAprBB7DQnmVCKX/4hZbfxQinZstvtKZUFvpCPRlcj\n5zu1CGpsb+RKxxWuu67j9Xlx4MCOHQcOii3FlFhKyDXlYld2zBEz0VCUSHjkn0Wr1Tou+WO327FY\nLBkrUMLhcCwjaSSxNLREzmq1jlr2lpOTk5AJJQiZTloJI4PBUAX8CChD/xX/P0qpb472GBFG05RI\nELpPDIqhzmPQ0zB4f+4SKOoXQ0XrIH8VjGNcZLrQ2wtHjgwKpCNHYKD/4/z5iQKppka/zxBuHxWN\n4mluHlbS5mtvj52TPXv2sJI2R0VFxr4oEmY44TD88pc6m+j11/Wb940bdTbRjh03eVM9DVFKZyxN\nVPaTxzOY1XIzDIaxnzsZGI06a8ps1rXRA/tD10j33cpjJvN6DgdUFoHJzfiljwsYTRyauHXp40BG\nu6c/8RkoqRRK0Wg01tOnx9PDpRuXaO5s5rrrOp09nXj6PAT8AQgTE0J27JhGKCM0GAzYbLabyp+h\nEsiUFn260gelFH19fUmzkwbW0MbtBoMhlpk00srKmEb5gpB+wqgCqFBKfWAwGHKA94GnlFKnR3qM\nCKNpgFLguZhYWuaqg4Gu/7bSfjk0IIjuBGt+amOeJEIhOH48cRrbwJCWwkLdQHugkfbatRk0mCVD\n8HV00B1f0nb2LD2XLsXe3Fnz8hIl0tKl5M6fj1FKVoR05fJl+I//0KulRfdn+cxn4Hd+R2dfCBND\nNKpt/1jkklKpkysmUwZ88uBjcGx7stWZ5Nho5YoGdKnWWETP0PtyEOkzs/H7/aOWvA0VSlardVjJ\nW05ODoFAIKHRc19fH9293fR6ewn6g6jQyO+5woQJG8MYrAaybFk4HU4Kcwspyy+jILcgqfyZdmVT\naUwwGKSnp2fEsreenh6i0cRsRJvNNmrZm9PplH+/DEUp6OzUg2YXTey8pZSRVsJoWAAGwy7gW0qp\nPSOdI8IoA/F39GcO9a+uY4Md/E0OKLwjsbTMMSftSsumCqWgsTFRIJ09q+/LyoI77xzMQLr3Xl1Z\nIkwsYa+X7vPnE0raus+dI9Jfz2+0Wsmvrk6QSPmLF2O53f4vgnCrBIPwyis6m2hP/5/PBx/U2USP\nPy4d94UpJEBywZPs2MDyJr2SFjcFDE7rGlhFjC598oB0l2RCpjIglLpcXXR0ddDp6qTbpRsve3o8\nhIOJGWwRQwSfwUdvtBdv3H8RY4QcZw6FuYWU55czp3gOC0sXUlNRQ3leuciDDCYajeLxeJI25x6Q\nTEN7RBmNxlHL3nJzc7HI3/KUEI3CtWv687grV5Ivr1dXhpw5k+poJ4a0FUYGg2Ee8AawQinVM9J5\nIozSnIgfuuoGs4c6j+psIgAMkLd8UAwVrdO3pdHaqLS36z5IA72Q3ntvsBXHihWJZWxzZq5rm1Si\n4TC9ly/T1dBAd1xJW6C7f9KIwUDO3LnDStrsJSWpDVyY3pw7p6ec/eAH+hdFZaXOJPrsZ/UvA0G4\nLULoUq7xyJ/epFfS5DFc/iRbAyPeCwB5fSCMjlKKYCSIL+zDH/bjC/nwhX34Qv23x7MfGfvjQ9FQ\n0nhs2HDiJEAAZVLML5qvJ48VLo6NpK8uqqYsu0yk0AxmoDRypNXb2zts4pzD4Rg25S1+ZXID91QS\nDEJz88gyqLlZV4TEU1QEc+cmrupqePTR1HwNE01aCiODweAEDgF/p5TameT+3wN+D2DOnDl3XLly\nZYojFJKiotBzNi576Ci4jg+OanRUDoqhort0JpFFRoPdLl4vvPvuYAbS229DT79inT07USCtXKkr\nEoSJRymFr60NV0MDXWfOaJF09iye5ubYObaiIt1Ue6Ccbd48rLm5WHNzMTscGNK+VERIO3w+ePFF\nnU30xhv6B/zxx3U20YMPyg+8MAIRdP+esUifgdWd9EoaJ6PLnqGrkJk2zWsmEolGxi9p4vZj0mec\nj1fc+vsXm9mGzWzDbrZjt9gT9u3m/tvx+0nOG/qYbGs2CwoWMCtnFkYZFy7cApFIhN7e3lEnvoWG\nWAyz2Zw0O2lgPzc3d0b2rOrrG1kGXb6ss4fiFYjBABUVMG/ecCk0d67+PM7pTNVXMzWknTAyGAwW\n4DXgV0qp/3mz8yXDKIX4rg8Zaf8uhPpNhTlH9xqK9R26Cxwy9msqiETg1KnEMrarV/V9OTm6dG1A\nIN11l+4XKkwewZ4eus+dG5RIDQ24L1wgOnRCk8GAJScHa04OFqcTa26u3ubkDB4fZWtxOjFZ5Q3Y\njOHkSS2JnntOF8ovXKinnP32b+tXNsIMIooe0z5W8dOBzhQa6TWeDShhdOEzVArNsKbp04BwNExP\noAe334074I7t9wR66Av1JQqbW5Q3I2XdjAWTwTSqiEnYNw1KnLE+Jpn8yTJnidARMhKlFD6fL2nZ\n28B+X1/fsMfl5OTE5JHVasVsNmM2m7FYLLH9ZOtm95vN5pRkNykFLleiABoqhTo7Ex9jsUBVVXIZ\nNHeuvm+mv7xOK2Fk0N9ZPwS6lFJ/MpbHiDCaIkIecH2QONLe2585YTDrKWXxfYdya0D+6KYNTU2J\nAunUqcG+q3fcMdhI+777oLQ01dFOfyLBID2NjfQ2NRHyeAj29hLq7U3cejwEe3r0bY+H0ECz3FEw\n2WyDAtuKkW4AACAASURBVGmoVBoqoXJzsTqdg9ucHJ3lJOnL6YvHAz/5iRZFx47pVzA7duhsoo0b\nM6CZsXBzFOBhbNInPjtopDHZFsZW9hW/5FOEdEYpRV+oL6noSXZ7pHO8oZF6RQ0ny5SVIFfGKm/G\n/Jgk+xaT9GcRhIkkHA6P2Jy7p6eHUChEOBwmHA4TCoWGlcCNF5PJNC7BNBYhZTKZ6emx0NFhpq3N\nzLVrZlpazFy9aubKFTOXL5vp7jYTP6zA4UguggYyhsrLJRn7ZqSbMFoPvAmcRH9kBvD/KKV2j/QY\nEUaTQDQC7g8TR9q7T+mSM4Ds+Yl9hwpqwWxPbczCuHC54J13BgXSsWN6wjTA4sWJZWyLFkkfpHRA\nRaOEvV4tkfolU2y/fxuKPzZUQvX0EB1adD0Eg8k0cnbTgFxKIqHis5xkYtwEo5RuVPad78ALL2hp\ntHSplkSf+hQUF6c6QmEYQbT08aB7+AzdxpeCJVsj/ZyaGFvGz//f3p0HSZrn9X1//57nyXzyzrqr\nq6ePmZ6ZnZmee6aZCyQvh0IraVkEAiOzXlhYcDiMDitsK8B2KHCE7UC2DFIIELEsC4t3zQoWEGtg\ngRVIBjHTszM9V889O0dPH3UfWXnnc/z8x5PHk1lPZmVVV1dWVX9fEc8+v+f3PPnkr2tzqjI/+TvC\nPX9kla+DpOE1rjvo2axv4mt/2+fKxrPkE3lydo683dwn8uTiucj6Vjln58jEM+3wJmElpNeNEDch\n3/fb4VErSIrahjnved5Q17fOXW8GoZSJaVrEYha2vTdh1UHuWXWjHajAaDckMLpOWkPlSvek1GsX\nwG12W4yPd887NPkYJGTi3qOmXocXXujuhbS2Fpybmen0QHrsMXj4YZAFwA4nr16P7s00YN8KpBrF\nIm5Ed+ZeVjLZ1Wup39C6fsPrTFkKOLCxAV/8YjCJ9csvQzIJP/iDQVD05JOS4u4Zj064ExXw7Kbc\nGOJ5FcE8PsNM9tzaZLWvUfG1T7Fe7IQ5uwh6CrUCda++7XPZph0d9ISP7fzAazLxDKYhX5mPSqPc\noLxYprxUprRYorpaxff89ihQrTVoOh+K9f7WbWnDXtfttl07uL8ZM4mlY8QzceKZeKec7jnuqYul\nYvIeY4QqlWDUQ++8Qa3ytWvBKmSG4WNZLpblMDfncvq0y4kTLsePu8zOuszMuExNuUxMOFjW4PCp\nFVYNG3ztVc+q6elpPvOZz+zND27EJDC62TQKwVxDrXmHVr8BtYXgnBEPeguFA6KsdC+5Gfk+vPVW\nd4D0XnNxO8MIloo8dy4YznbuHDz0kMyFdDPwPQ+3VAqGyDVDpHAPp67eTZub7aF04RBK987d1ENZ\n1tYgqdm7qRU8tUOoiDDKSqcPby8nrYP/2H7lV+C3fxtqtSCh/YmfgB/6IcjnR93CEdMES65vF9rs\nJOCp7uD5EwSTO2eb+92UM3SWfZcP9Dea1pqaWxsq6Bl0TbExaLW3gKGMdg+dqBCnb/jTc2xb9j78\nZMROaF9TXau2A6DyUrkrEKosVbrqncru527ad4ogQGm+1W+Vr7uu5957Xec1PJyyQ6PUwK0Nfl/R\n+++NpwcHTL3nhgmkYqkYypDPSxsb/ecOunQpWMA1zDS3nz8osc9T5Pm+vye9qpLJJB/96Ef3t/E3\niARGR5nXgMLF7nmHNt/snM9+pBMMTT0ezENkyhsVEW1hIRgZ8/zzcOFCsF9oZY0GnD3bCZDOnYMH\nHww6RQjRorXGq9X692bqqeuqb4ZUbnX7D/imbWOlUu0tlk53yqH6yHPpdOeaZtlMJjFu5AD35WX4\njd8IehO9+WYwO/0nPxkERY88cuOe94bSQJ2dBziDzpfpP1FzL4tOULOTUGdQ0HNIg8gjwPEcVqur\nLJeXWa4sd+1Xq6sDw6BhJl5OxVJ9h2gNE/TkE3nSsbT0XDhEvIYXBDytEGhAAFReLqO9rb97lKlI\nT6dJz6RJz3bvM7OZ9nFqMoVhGXsfylxveHNE+J7fDo8a5QaNUmPLcVSdU3IGXu9WdxBEAbFUbGDv\npp32hmodH5QgSmtYXOy/wtilS51VmlsSif5h0K23wvHjMn/QYSCB0VGhNZTe6553aO0F8Jvdn+3p\nIBxqzz30LcFwMyGuw7Vr3QHS88/D0lJwzjTh3ns7IdKjjwYh0n5/UyCOFt9xcMrl7l5NoUDJKZdx\nKxXcSgWnWsVtHjvNuvCx3xhm6FDATCQ64VIyuTVsapdb51JYqQRWKhkqJ4ilkkHZjqH+8i/g//4C\n/NEfgufCY+fgU5+ET3w3pBIE4YhPp6++P+R+L6912V3YU2o+dhgG3cHMboKe3rJ8+XGQ1dxaZPjT\ntW+WVyorrNfWI++jUIwlxhhLjO0o6AmXs/GsTLB8BGitaRQbQ/cCqm3UIu9jJa2usCcqAGodJyeS\nB+bDvNh7vufjVJxOmBQVSEXUbXf9TnugWUlrcO+mTGy48KmnzjC7hzi7Lly9Gr3U/KVLwVCyes+o\n2nw+eiLp1jY9fXMOVKmtr1O5do2Je+8ddVP2hARGh1V9tRkOtZa0/0ZQB2AmYeLR7qFl6dM353+x\nYl9pHfyxaQVIrX2rC6plBSFSeDjb/fdLiCSG5RNMCnytz7YA1Bg2KPEdH7eicSoatwJOGdwKuBWN\nW1E4ldaxap5XzbJqlo3mdQZu2cCpGGh3+N+zVtLHSvlYaY9YysdK6VA52GLpTtlK+X3PxVI+ZlLv\n06/5NLsPcqLKSWRi5sNLa02xUWyHO4PCn9a+7ETPh2YZFlOpKaZT00ynp5lOTW85Du8nkhNYhvT8\nOqp8z6e6Wo3sBRQOhFr7fkOTkhPJbXsBtY5jaZnjRtxY2tc4lYjeTUMGUpG9pZrHO2qHaeEZMRoq\nTl3H+X+9v8V7/m1d18zMbA2BwttNP1K+ya3VWHnxReaffpqF8+dZf+MNMidO8Ik//uNRN21PSGB0\nGHg1WH+pe2hZ6d3mSQX5s91Dy/L3giHflomDQWu4cqU7QLpwAVZWgvOWFYRG4Z5I998PtnQQuIlo\nYI3+QVA4EIr6QDANzDW3JEGPFRWxj6rb22u9BrgVF7fi41Q83IqHW3Rw3vkQ97V3cC8v4DYMnOwk\n7vRx3NQYTtXHrTi4FRen4jTLTlAuNyKHQkRSCisVJ5aKY6VtrJQdlFM2VjpBLGVjJe2gp1Pa7vR6\nSieaPaNaPaJax0lMO4lS4R4/KWTunaPN1z7r1fWuHj6Dwp+VykrfyZwTViI67GkFQT31Y4kx+bB+\nxLk1d+heQJWVCtrf+vvPsIwtQU9qJhUZAKWmUphx+Z0ljg6toVgMhoctLAT7xUVYmNcsXXVYmXdY\nnW9QWG6wudqARoM4DnEaxGgQp4GtHPLJBvlkg0zcIRVrkPjOb+PUk8fbYdCpUzK1RD/a91l/800W\nmgHR8gsv4NXrGJbF1EMPcezJJzn25JNMPvDAkfibJoHRQaN92Hy7e2jZxsvQGoOfvKUTDE0+BhPn\nIJYdbZuF2CGtg66t4aFsFy50VmaLxYLQKNwT6b77IB4fbbvFTmlggyDsmad/EDRP9MpSE8Dx0DbX\nc3wcOAYc0BfGBx/Ar/4q/NqvBV3vZmfh05+Gz3wG7rxzqFtorfEbjc6Qukqle9hdqLzlXKi+95z2\nt1+WG8CwLOyJCRKTkyQmJrCb+/Y2NRXUN49NSXoPHNd3g9CnGfKEy1Eh0GplFU97kffKxrOR4U+4\nLtwjSOb1Ofq01tQL9b4hUG8voPpmdLgYz8S37QXUKifGZTVNcbRoDaVSTwA0oFyLGFFpGMEQsNnZ\nYDt2LLo8OwtTUzJ30E6Vrl5tB0SL589T39gAIH/nnRx74gmOPfUUM48+SuwILiUtgdFBUP4QvvnZ\nZkD0HDiFoN7KBHMNhYeWpW4ZbVuFuEG0Dj5f9w5na/4+Jh6HBx7o7ol0331BuCT2myaYryYc+PQL\ng6LmicizNfjpDYTmCFalOmQaDfjqV4OVzr7+9aDuYx8LJrD++McPxAtWa41Xr2+Z3ykqfHKKRWrr\n69RWV6mvrVFbW6O2uooX9W4ViGUy2BMTJCcnu8KldujUqpucJJ7LoQxZJn6noub/6QqBenoA9Zv/\nB2AiOTEw/OkdGiYreN0cfNenslIZqhdQeamM14gIGBWkJlND9QJKz6SJpUb/u1GIvdQKgYYJgBYX\nIWpND6U6IVC/AKhVlhBobzUKBRaefZaF8+dZePppSpcvA5CcmWkHRMeeeILk9PSIW3rjSWB0EBTe\ngD+6H8bu7wRDk49D7m4w5L98cfPSGt5/f+twtkIzU7XtIEQK90Q6e/ZAfCY/xMpE9wDqrYuagyRD\ndBAUDoHmCObAOWLeeitY5ewLXwgm7Tp5En7sx4Lt1KlRt27POeVyV4AU3tdbx2tr1NfWqK+vR/Zo\nUqaJPT4e2VMpHCwlJiexJyawDvhkZ44Dq6vBcNveLVyfTMLcXLDNzmrGpqvYY2uY2SXc5Dxr9aXO\ncK/q1t5ApUYp8vnD8/90DfeS+X9EiOtoLr1R5tLLBa69UWDl3QKblwtUFzfx1wqY5QJxpxw5q5g2\nTPxkGp1OozJpzFwGM58iNpYhPp4mMZUmOdUMhKZTJNMGiUQwT6Ft0y6Hj+UDrjhsBvUE6j2uVLY+\nPhwCDdMTyJJf0/vCazRYefFFFs6fZ/7pp1l//XW072OlUsw+9lh7mFnuzJmbroejBEYHgfaDeYqs\n1KhbIsSBpzW8+253gHThQmcpT9uGhx7q7ol09qz8wYUq0cFPb91mxGOTwC1EDwkLh0E32fDYahV+\n53eC3kR/8RfBJ59PfAJ+/Mfhb/5N+STU5HsejY2N7lCpVe4Jl2orK7hRX7MCVirVDo+SzX0rVLJ7\nhsjF83mM6/j5e14wRDYq/OkXBLWC7Ch2qo6dK2GlC9RrJrX1MbxKxGyhyoPUMmTnMXKLJMcKZCZL\njE/XmJl1OTarOHnC4rYTCW6ZnJD5f0RbvR58UL38XoPLr26y+HaBtfcLlK4WaCwXoFAgXi2Q9jax\n6O4R1CBGycjTSOUhl8NL56gaaSoqTUmn2fQzFNw0JcemVlfUasGQGGdniz1FsqzBgdJ+HMuvarGT\nnkD9QqCpqeF7Asl70tHTvs/GO++w8MwzLDzzDEsXLuBVqyjTZOqBB5h98knmnnySyfvvx7jJv4mW\nwEiIo8xxgpnxwluptLu6cjl4h5XJRG/pdP9z/c6n03vyTs33gxAp3BPphReCZkPwjf6DD3b3RLr7\n7qPyB7tOMBl0v7mBWuWoYSk2288RdBzIIatYhbzyShASffGLwZjJ228PQqJPfzp4Ryiui1upRA6D\niwqb+vZeMgzs8XHsZq8lIzuJn5igYU1SNSYoehNsOJOsVCdZKE6wtJ7qCoHW14NwOoqddEjmKsSz\nm5iZDUgu4yYXqcevUoldwk0sQGqlsyXXwGqQiWeYTk0zk54JevjE5kjWbiNWOQWlOfzNaWobE5TX\ncmysJFlZMpmfVywuBgFWr3w+eLm1eivNzUUfj4/LIqmHWakE8/PBdu2qz7W3Six/s8DGhwWq8wXc\ntQJmcZOkUyBPgRTdgauPoh7L4mbyGON5krM5cifzTJ7Jc/yePLc+mOfUXQkSiZ2/SHw/CKpaAVK4\nfCOOo+r2KrS6kYGUbQdvdSwr2PeWd3rOMOS/6WGUy8MFQIuLwbW9lILJye0DoNnZoMfQ0XhPebSV\n5+fbQ8wWn32W2mqwwnjuzJl2D6LZb/kWYpnMiFt6sEhgJMRBspcBT7EYzKcyDNOEbDbYMplOOVyX\nTgf3K5WCrVzulHu3qE83/SSTw4dOw15j2/ha8c473SHSiy8GzQNIpYKeSOEQ6a67DtI3jQ6wyOBV\nw+YJlpnvFSM6/OmtG0eCoCGVSvDlLwdB0Te+EUyq9X3fF8xN9NGPBu/gxQ2nddCTp93LZ9ln9UqB\njaurFBfXqKys4ayv4hVXUdU1Yo01Et4qOXONvLVK0oxezr2hE5RUjrKZphSz2YyZbMRdVmNl1pMl\nCukim7kNCvk1SukyvgGpWCoIf0Ih0Eyque+pn05Nk4ztbrkZzwv+rQsLneBgfn7r8fx89BwYtt0J\nkgYFTDMz8oFnv2gdhJK9///Nf1Bn7b0CxasF6osF/I0CqWYQlKdAliIm3QGpZ9n4uTyxqTzp43nG\nTueZuTPPyXvznHogx9jJLGbswPxh23P7HVpFHQ/7VmsvGcb1B0/9zh2G+wwTBkWFQDB8TyAJgQ6/\nRrHI0nPPMf/00yyeP8/m++8DkJicDAKiJ57g2JNPkpIv+waSwEiI63EQAp5BIc+wdYnE3n1dpXXw\nDmq7UCm8DXNdn2EqkQwjMkjy0jne1ndyoXI3zxc+woXVW3lh8TgVJ1hlK207PHxHkUfvqXDuAYdH\nH4WP3BfHzDeDqut+59Ag6OnT2lboHwYtE0wuHWYSrAo2aFjYcWCSYJn3w8PXPlWnSsWpbNmqbnR9\n+7xTpeIGZdu0ycQzZOPZYG8H+6i61nE6nsZQET8vreG554KQ6MtfDl6HZ88GIdGnPhV89XjEeI5H\naaFE8VqR0nyJ2kYNM25iJSxM28SyrU45YUUem7Y51NCo1oSg2w316q133ej7WTGf3HiDVL6KnS1i\npTcgvYqXWKRhX6MS+5Ca8S42V8mZ6+RUkbznkqtZ5OsW4404k06SsUaMTNUgUfExIpb0Rini+Xxn\nWFx4Mu/wSnLNeiuV2pehYq2llvsFSuHj1oqUPf8spqe377E0NxcE7mIrzwumMNsSBM3D/FWP9Q+L\nVK4VcFcLpNxWELTZDoQSdK8gpg0DI5/DnsmTPZFn4kyOubvyzN2TZ+xUntzJHIn8wZ7b62YQDq36\nBUyeF/zu8rzOFj4edO5GXXsj7jPkApx7bic9gW7y0UVHmu84rLzySns1s9WLF9Geh5lMMnPuHHPN\nXkT5O++UIdw7IIGRuLm0esjsVchzFAKew8LzgoHjexE+ta4pFvE8zVvcxfOc4wKP8jzneImHqDQn\nZs5Q5GFe5BzP82jsIufyr3HnqUWMW2yYiQXblAmTRtBhJ68h50HGgXQdkjVIVCBeBjN6OeEg3Jll\n8BxBx4EpgtBo//jap+bWBoc1g8Kc7cKe5vmaG73q1nZSsRRJKxnsY0kaXoNivUipUaLu9ft5b5WO\npdth0jE3wd+7UOUTf7nEmQ+L1OMmL/31j/DSJx5j/aG7yNq5TgjVEz61jm3TPlBvRty6S2m+RHG+\n2A6DivNFStea+/kgJKqsREzOsAsqZqJME21Z+IaFpyxcbeJoi4ZnUXNNqo6Foy1cLDxMXCxcTDws\nPGViJQ2sJJgpD5INSNZwkyUcu0DNXqUcX2QzdpVy4gpuehU3VcCzPFzLxbVcjLjBdG56qB5AM+mZ\nLUvAa9+nsbnZf86lULm2uorTGgPbw7TtrvmWrHQaMx7HtO323miVe49tu33doGuMeHxHczbV68G3\n8IN6LC0sBFtUh9FcLjpQ6q07KsPhWvMDRQZB8zB/TbN2rUZjuUBOd3oEtbZxVSCtS6ieLwHMbJLk\nsSD8mb4zz9TtefLNICh/Kk/mWAbDPFzhv7i5ad0dLN2IkMp1g9C6FQZJCHTz0lpTePfdzjxEzz2H\nW6mgDIOJ++5rDzObevBBzHh81M09tCQwEkeD7wfLab36Kly8GOw//FACHtGHA6yDXgNnCWrzUF8E\ndwncZXxvlUKlRLFRoa4qqHiFRKbI2Pg6mUyfPs4tRbo7Ea31HPd2MNpMg5qFiZlgTMj0dLC1yr37\n5h88rfXgIGeboGbYnjtVdwc9u0JaIU5rS8a6j1OxFClrwLnwY63o8wkrMTCUcTyHUqNEqVGi2AhC\npFaY1Dpu19WLzL70Dk9+7VUee+ZDbMfnjVMpvvxklt+63+CaWabUKOHr4b4+tQxr255N254L1aXj\n6cgVrZyK0wl8QmFQKwBqnauubf3/UZmK7FyWzFwm2B/PtI/TM1mcZJaim2B1yWNtyWN92aWw6lJY\n89hccyltuFQ2XcqbHrWSi+8E0U8Q+wTxT+s4GXdJxBrErQYxo4Gp6pg0ULqB4Tso30V5HoanMT0D\nyzVRezBcUpmqby+ovj2kEub210ScM0wfv17Gq23iVjZxixs4pQLO5gb1wno7dHKrVbx6Hb/RwKvX\ng/IeTMRiWBZGKGQyekOpnuPeOqMnoDJtGxWzKdfjbBTjrBdtVgtxltdtltZsFlfizC/bXF20uTIf\nZ7MSo3eIazw+3DxLs7OjGfoRnh9o0FZYc8mFegLlKTBGgen4JmMq6C1ket3/H6qYSeaWPBO35hm/\nNU/uVBAC5U/lyZ8MQqF4Wj7ACCHETlSWloKA6Px5Fp95huryMgDZ06c78xA99hjxXG7ELT06JDAS\nh4vWwdd84WDo1Vfhtde6ly247bZgy+Uk4DmyHGCD4dOZ8DXbhD6kCboLjQMTwDi+P87q6jiXL4/z\nzW+O8+qr47z88jgLCxOsr4/juuOcOTPGww/HePRhn3NnK9w+U0SVOz2adLHI5uo1Vpc/pLByhfrq\nErHVdeJrBRLrRVIbJdIbFTKbNSwv+vdvIaFYTsNSUrOUJiinYTlF+7hVXkmB0/MhLGEldhTKDH0+\nFPokrET0EK+DaHkZvvAF+Nzn4K23gt8Bn/xkMOzskUe6Lm2FdNuGT+GAatC5erFvIBevx8mUMmSL\nWbLFLJlShvHyOGPlMXKlHOlimmQhSawa8bWqBcaUgTVtYc/YJI8lycxlyM3lSUyMQ3Iax5ym2Bhn\nadlo9yQJ9ypZXu4/tGBsTDM+6ZEda5DKV7CzRczMOqRW8BIL1O15ytYliub7rBvvUFDvg7H1ZqYy\n2/P79PYAmk5NMxWbYio2xbg5zrg5TooUXt3Dq3u4NRe37uLW3OA4XN7mXPiayOt7zvnu3oyxaIdM\nzS2WjGElm+WEhZVQmDbEbDBiGisOZszHsDRmDAzDxzCDTSkPZXgofBRusLqa74L20L6D9hzwXHy3\nge847WDKazTwm/ve0Cpq8vCdUnEbTBttxvGwcbBpeDFqrk3VsanU45TrNo62cXQcx2/udZx4yiaR\nsUnl4mTyNtlxm/xkjLFJm4kZm8nZONNzNul8RAjW3JRh9J8fKGIL5rTTpKm0g6AJs8BcqsCUVSCr\nCyTqBczq1r8Z6dl0JwAKba3eQenpNMqQ9xFCCHE9nHKZpeeea/ciKrz7LgD2+Hh7DqJjTz5J+vjx\nEbf06JLASBxcGxtBEBQOhl59NZjEomV2Fu6/H+67L9juvz+YY0Rmtz8kXILQZ9igJ3xc2ubeKVph\nT/8t6vwYMNy3vo4Dr7/emVT7+QuaV16Gej34kJDI1Jg48wHxExdpHHua1fyfUs+9HjnPdMJKtEOZ\ntJlk1rU5XotxrGoyW1ZMVTSTRZ+Jkku+6JAv1MgUaqQ3yiQLZQwv+sOen8+hp6dgZhZjZgY1M9u/\nF9PU1M3Rr9v34c/+LJib6N/9u+D/yKeeCkKiH/iBYL6qG0BrTX2z3tUbaPPaJutX19m4skFxvkhl\noUJtsYZX3joOSMc13riHM+ZQG6tRyVUoZUpspEqs4LLimSw5ccr1CSgfg1JzK851ym7E5DOGg5Vb\nIZ5fIzFWIDOxSXayzNhUjfRYmXriKiXrAzaN91jlHdYbS+gt82uBoQymUlNDDwEbS4wdimDR9/yt\nwdOggGq7MKq1VV2cqrNt2a31mbRpSFbC6gRT4ZAqGWufiyVjmLbCssGMacw4WDGNYTVDK1MHQZXh\nYRitwMpHaRfwQLvB5rtoz8X3nK5gKhxOubU6jaqDU+3Ua7eO4V//zMGutmj4CRxt0/CDYMrVMTzf\nQikTy1TEDIWFxvA1yvXRdQ/tKnxton0TrQ2MmE1iIkNqOkdqJkfmWJ7MLePkTkyQOzlB/vQk8Wyq\n01MrFjtQQ1CFEOKw8l2X1YsX2wHRyiuvoF0X07aZfvRRjjWXux+76y6ULDiyLyQwOgBc36Xm1kjF\nUofizfOeq9XgjTe6ew1dvAhXrnSuyeU6oVArGLr33uBDrhixVugzbNAT3qLn/OhIsfPAp7XtfVf/\nhtfgcuEylwqXuLRxKdgXLvHBxgdc2rjE5c3LuA6wdC9cOwfzj2ItPIG3cC/aDdqTytW442yRR89p\nHnkgwbGpOFMTMSYnTMbGYGwsyDt39NnD94Ov1JeXg21pKXrfKq+s9O8+Mj4+eEhceNjc1NThWkLk\n6lX49V+HX/3VYAjrxAT88A/Dj/948Ptkl7TW1DZqXXMD9Rsa5lS2Dj2KpWJkj3cPDcscy2LkMtTt\nLCWybHgZFgsJFhdVuxdQq1dQOEMPGxv3mJxxGJusk5+qkJkokRwvkBjbwMqtYOWW0Zl53PgyZbe4\npedUqVHC9V2mUlNDBUDjiXFM4+iuxjQqWmu8ujd0uORUnW3Lw1zrO7vvcaQM1TeY6hdgmQmDmG1g\nxsCMa5TpU29oyhVNqexRKmtKJZ9iyaNU9CmVXMolF69eZyJRYtzeJGuUSFAi5pUx3Co0quA1UMrD\naIVcygtCMctHGT7ggu8EPZh3/Q9WmIlE97xT22yGbWP17Id9bG+vKiGEOKy01my+/z4LzzzD4vnz\nLH7jGzilEijFxNmz7R5E0w8/jGnbo27uTUkCowPgxfkXeeSzj6BQpONpsvEsWTvbtW/NY9Fb33W+\npy4V25+VWYbmuvDuu1uHk73zTufDazwO99yztdfQyZM3eIiYbm4+4DX3vVu/+tE9RmsPz3HxnQae\n4+A7wTwinhvsfddpbm5z8/A9F+26wd5z8T0P7blo3+uUtYf2PbTvon0f7Xso5ZLIN0hO1kiM10jk\nK9i5CrHU4DlufC+B9sbQegzUOIYxgTInUWq73j/jwP7+Yag4lU4QtBEKg5rH14rXunpWKBTHs8c5\nPXaa0/lgu3Xs1vbxqfwp0vE0jUbwUn/++U5vpIsXg44tUQwD8nnaAVK4HHXcW5fLBdNw9eX7wTJJ\nck+8dwAAHclJREFUUWFS1H51tX/ANDExOFQK101ObtOwG8B14WtfC3oT/eEfBv+Ob//2oDfR935v\nMPy0D6011dXqlomio8Igr761R1A8Gyc7l22HQZm5DMnpLG4yS9XKUCTLWiPL4nqchZ4gaGEheso1\n2+7M+xJeKj28tZZIl/dV4nr4nj98ELVdkLWDa3XUynQ7EM/GGTs9FgwPC88b1Jw7KHvL1mXmtdZo\n1+0M3buOzW80cGs1/Hodt17v9LSq1Tr7UN31zl9lxGJ9AykzHg+CrPC5Vl34XG9dIkEskyGWTrc3\nK53GOExfEAghDqzqygqL58+35yKqLCwAkD5xor2S2ezjj2OPjY24pQIkMDoQ5ovzfOnilyjWg294\n2/tQufWtb7FRpOIMt4qNoYyuiVW3hE19gqZ+IVTSSg4XQGkd9A7qDYZefz1YagSC8OeOO7YGQ3fc\nsYseCxXgbeBN4I3m/k1gkeFDmYP/Wt9rvqfQvkJ7BloHZXRQ7uxNQKG1ARg4lSSNYop6IUV1PUl1\nNUF5JU55yaa8GKO0EKO2nqS6nqC6lqS2nsRrRPz/qSCejhPPxrGzNvFMqJyNRx63ypHXp+NDzRWx\nUdvoDoJCvYQubVxiubLcdb1lWJzMneT0WDMIaoZCrUDoZP4kcXN3PZnq9WBe9kIhGH25sdFdHnS8\nubn9/bPZwSHToNApn2/PrR3wvJ0HTFF/P5QKQqPtJvZu7Scmdh8wffBB0JPo85+Ha9eC4as/+qPw\nmc+gz9xOebm8/aph88XIXhaJsUS7N1D2eJb0sQwqm8FJZKmYWQpehpV6loW1+JYQaGMj+scyPb19\nCHTsWBAGHqTvAYTYS1prfMcfOlxyqg5oyJ3ItecOOmzLzGvf75pjqjdYagdQoSBqUADVta/Xt9S1\ngiyvVttxryrTtollMlipVDtEimUyxFKpTjmdDs63yqHQKfwYWbFIiJuHW62y9Pzz7WFmG2+/DUA8\nl2P2iSfaIVHm5MkRt1REkcDoEPJ8rz1xangS1S2BUzhsGnB+2OWsDWW0w6NWCHWLk+Dsgs9H5huc\nuVLmxOUCc5dWSZQ696zNTlK5+w7cs3fBffdhPfgwyfseJpGb2EEPKE2wpFQrEAoHQ5foBD4GcBta\n34PvHQvmJXDBb+69Zs9z39X4DnjNzXc0XiOocxs6OK6D1wjqvbrGbfhBuQZu3Q/q6n5QrgVl7RlB\nCNOztcOZqM0zQBmYsRhGzMKwLMx4LPjWMBbDjEdtcUw7KFt2ULYScUw7jtXczESMWMIO9kkbK2Fj\nJeJBORnb8g3rXvA9n0apEWzFBvVinUYxOG6V68V65Pmo653y8N+8xtIxYpkYpMBP+DTsBrVYjZJV\nomAUWGONolWkEW/QiDeo23V0UjM+Mc701DTHpo9xfPY4p46d4ta5W7lt8jbmMnMHcoiN5wWh0U5C\npt667ea3TaW2D5n6Hmc9EuVV1MqAYXG9AVMUw+gETNv0XtJTU/iJFJXf/H2Kn/9tSs++TpEsxTse\npnTmAUrxSYoLZYrzRcqL5ciJjJMTya6hYfZ0Bi+ZpR7PUFZZ1t0sy9UM8yuxrhBocTF66fFMJjr0\n6a2bnj5cI/uEEIdfEM45XROftwImt1rFKZdxymXc5t4plXArlXZ913GpFFxXqeBVh1tZ07CsTpgU\nCqFimUxQ3wydrHDQFA6emkFVLJ3GTA75haYQYl/4nsfaa6+xeP48808/zcpLL+E7DkYsxvQjj7SH\nmY3fcw/Gfvc8FzsmgZHA9d2uHkxRgVNtY5XkO++Tf+cyk+/Nc+yDZU5e2mCi0BkzsZ5UvDoLr0xr\nXp2BizPw2gxsJKOf11Tmll5NOTvN7eMmd0663DpW42SuzLHMBlOpFZKxTs8q17OpbJ6kvHKK8tUT\nFN6bY+W1aRZezFC4VKd4rbjriUKVqbbOuZCMmCw0afWt79oPcZ8bEd4cBb7n45QdGqUG1UKVq4tX\nubxwmYWlBZZWllhdXWVjbYNioUh1s4pZNYk34sQbcey6TdJJknJT2A0bq25hVIef6yGWiu1dD6hM\nHMO8cfNMaF/jez6+23/Tnm6XPcentOmzuRFspU2fYiHYlzZ9ysVgq5R8KmWfasmnVvGpVoJ9veKj\nfR+D3k23y5bhk7R97JhPIh7s41Zni5k+lqmxDB8LD9NvYLoNlNvAcBsox8FvuPiOFwyldH18Tweb\nVpHP3E9qOtXuDZSazWDkgyCoYmYp6gxrTpbFSoaFZatrpbBSxLzqphl0VtouBJqdlbn3hRA3H991\n20FSO2xqlUslnEqlK4RqH5dKwXXhEKpSGaoXlDKMTrDUp3dTZLknqGo9XuaFEmJntNaUPvyw3YNo\n4RvfwGl2hx+/++7OPESPPIKV7PPBUBxYEhiJbo4Db7+9dTjZe+91/mgnk8FKZL3DyebmQCkcz+k7\nnK7dq8lZxbYukbWvMJ5cYjq5wvF0geP5MnGr87pbX41z7d08y29PsPbaLJsvH2f91WNsXsmB7vxB\nr8frFHNFqrkqjbEG7rgLeTCTJrFkjHgyTjwZx07Z2CmbZDpJMpMklU6RzqRJZ9Jks1myuSzZVJZ0\nPE06liYTz5CwEvLN1T6ImlA6PH/Q5c3LuH53CDidmu47f9DpsdOMJbrHPmtf0ygP0QOqp65vL6lS\nY+jRjFbS2hIwWQmrE+psE/gMCoCud86PPWGoYElrI+gxp5WBr4x2uOPpYHN9A8cLylGRUzgAMmMG\nVjzYYrZBzFbEEwZxW2HHfGzDJWHUsamT9MskdBX/xCnKt91HQedYrWeYL2ZYWDbbQdDycvTnj7Gx\nwSFQq35yMuj4JIQQ4sbSvt/u7RTV0ykcNDmVCm6r3AqeWiFUs05HdQWNYCWTXb2bwiHTlrqIIXnt\n4CqdxrgZVh4VN6Xa+npnHqJnnqF87RoAqbk55p56itknnuDY44+TmJwccUvF9ZLA6Gbl+3Dp0tZg\n6M03OzPxmiZ85CNbg6HbbhtyXhGN1os0ShdplF7Cd15HmW8Tz7xLIr/YaYqnWH9vgpU3Jll5c4qV\nN6aD/VuT+O4YmeMZkrNJ4jNxrGkLNaXwJ3zccZfGWINqrkrJKm2Z+6nUKFF2ypQbZcpOOThuln09\n/OovrcnI07E06XgQIrXK7bpYpuu4FTZtV2eb9k0TRvVOKN0Og4acULo9h1DPhNKjpH2NU3H6DrOL\nGoYXPnZrLmbMxLAMDMtAmapdHnbbzWMMc4fXb/c8pjHUHFJhjcbuh9NtbEBxuwX2COZhGmZI2Ozs\nwLmvhRBCHHLBaoP1vj2dWkPqukKm5vGWnlLlMn7UqgQRTNvGSqUwYjGUaWJYwdQDyjTbx8qyMELl\n9nWm2X0cKvc+Vplm5zmaj4u6rv3c2zznsM9xs7yHFeDWaiy/8EI7IFp/4w0AYtkss48/zrEnnuDY\nU0+RPXVKXhdHjARGN4PFxa3B0GuvdY+3OH16azB01119l9nRWlMv1JsrBK1TL76Jdt/AjL9NPPse\nqanL5E/OkxjrDCNrlGPNQGiK9fdnqaycorF5O9q/ndTMeNdqQtnjWbJzWeKZvZ8UUWtN3atTbpS3\nhEpR4VJXXc+1UXV6B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BBCiC4SGAkhhBBCCCGEEEKILhIYCSGEEEIIIYQQQoguEhgJIYQQ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\ntRShAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "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>Date</th>\n",
              "      <th>Day</th>\n",
              "      <th>Month</th>\n",
              "      <th>year</th>\n",
              "      <th>Cases</th>\n",
              "      <th>Deaths</th>\n",
              "      <th>Country</th>\n",
              "      <th>Period</th>\n",
              "      <th>Id</th>\n",
              "      <th>Total_Cases</th>\n",
              "      <th>Total_Deaths</th>\n",
              "      <th>StartDeaths</th>\n",
              "      <th>Impact</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>4985</th>\n",
              "      <td>2020-03-21</td>\n",
              "      <td>21</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>39</td>\n",
              "      <td>2</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>321</td>\n",
              "      <td>0</td>\n",
              "      <td>203</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0.985222</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4984</th>\n",
              "      <td>2020-03-22</td>\n",
              "      <td>22</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>48</td>\n",
              "      <td>0</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>322</td>\n",
              "      <td>1</td>\n",
              "      <td>251</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0.796813</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4983</th>\n",
              "      <td>2020-03-23</td>\n",
              "      <td>23</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>65</td>\n",
              "      <td>0</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>323</td>\n",
              "      <td>2</td>\n",
              "      <td>316</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0.632911</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4982</th>\n",
              "      <td>2020-03-24</td>\n",
              "      <td>24</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>51</td>\n",
              "      <td>2</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>324</td>\n",
              "      <td>3</td>\n",
              "      <td>367</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>1.089918</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4981</th>\n",
              "      <td>2020-03-25</td>\n",
              "      <td>25</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>38</td>\n",
              "      <td>1</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>325</td>\n",
              "      <td>4</td>\n",
              "      <td>405</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>1.234568</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4980</th>\n",
              "      <td>2020-03-26</td>\n",
              "      <td>26</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>70</td>\n",
              "      <td>0</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>326</td>\n",
              "      <td>5</td>\n",
              "      <td>475</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>1.052632</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4979</th>\n",
              "      <td>2020-03-27</td>\n",
              "      <td>27</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>110</td>\n",
              "      <td>3</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>327</td>\n",
              "      <td>6</td>\n",
              "      <td>585</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>1.367521</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4978</th>\n",
              "      <td>2020-03-28</td>\n",
              "      <td>28</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>132</td>\n",
              "      <td>4</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>328</td>\n",
              "      <td>7</td>\n",
              "      <td>717</td>\n",
              "      <td>12</td>\n",
              "      <td>1</td>\n",
              "      <td>1.673640</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4977</th>\n",
              "      <td>2020-03-29</td>\n",
              "      <td>29</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>131</td>\n",
              "      <td>4</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>329</td>\n",
              "      <td>8</td>\n",
              "      <td>848</td>\n",
              "      <td>16</td>\n",
              "      <td>1</td>\n",
              "      <td>1.886792</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4976</th>\n",
              "      <td>2020-03-30</td>\n",
              "      <td>30</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>145</td>\n",
              "      <td>4</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>330</td>\n",
              "      <td>9</td>\n",
              "      <td>993</td>\n",
              "      <td>20</td>\n",
              "      <td>1</td>\n",
              "      <td>2.014099</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4975</th>\n",
              "      <td>2020-03-31</td>\n",
              "      <td>31</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>101</td>\n",
              "      <td>8</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>331</td>\n",
              "      <td>10</td>\n",
              "      <td>1094</td>\n",
              "      <td>28</td>\n",
              "      <td>1</td>\n",
              "      <td>2.559415</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4974</th>\n",
              "      <td>2020-04-01</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>2020</td>\n",
              "      <td>121</td>\n",
              "      <td>1</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>401</td>\n",
              "      <td>11</td>\n",
              "      <td>1215</td>\n",
              "      <td>29</td>\n",
              "      <td>1</td>\n",
              "      <td>2.386831</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4973</th>\n",
              "      <td>2020-04-02</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2020</td>\n",
              "      <td>163</td>\n",
              "      <td>8</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>402</td>\n",
              "      <td>12</td>\n",
              "      <td>1378</td>\n",
              "      <td>37</td>\n",
              "      <td>1</td>\n",
              "      <td>2.685051</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           Date  Day  Month  ...  Total_Deaths  StartDeaths    Impact\n",
              "4985 2020-03-21   21      3  ...             2            1  0.985222\n",
              "4984 2020-03-22   22      3  ...             2            1  0.796813\n",
              "4983 2020-03-23   23      3  ...             2            1  0.632911\n",
              "4982 2020-03-24   24      3  ...             4            1  1.089918\n",
              "4981 2020-03-25   25      3  ...             5            1  1.234568\n",
              "4980 2020-03-26   26      3  ...             5            1  1.052632\n",
              "4979 2020-03-27   27      3  ...             8            1  1.367521\n",
              "4978 2020-03-28   28      3  ...            12            1  1.673640\n",
              "4977 2020-03-29   29      3  ...            16            1  1.886792\n",
              "4976 2020-03-30   30      3  ...            20            1  2.014099\n",
              "4975 2020-03-31   31      3  ...            28            1  2.559415\n",
              "4974 2020-04-01    1      4  ...            29            1  2.386831\n",
              "4973 2020-04-02    2      4  ...            37            1  2.685051\n",
              "\n",
              "[13 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fDyefy8RZUye",
        "colab_type": "text"
      },
      "source": [
        "# Future propagation days in other countries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UD5mrgonZUGj",
        "colab_type": "code",
        "outputId": "b0d7b199-83cf-4259-90f2-9fa84ecad4c2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "# Filter by country\n",
        "spain = data[(data['Country'] == 'Spain')]\n",
        "spain = spain[spain['Id'] >= len(mexico) ]\n",
        "eu = data[(data['Country'] == 'United_States_of_America')]\n",
        "eu = eu[eu['Id'] >= len(mexico) ]\n",
        "italy = data[(data['Country'] == 'Italy')]\n",
        "italy = italy[italy['Id'] >= len(mexico) ]\n",
        "japan = data[(data['Country'] == 'Japan')]\n",
        "japan = japan[japan['Id'] >= len(mexico)]\n",
        "china = data[(data['Country'] == 'China')]\n",
        "china = china[china['Id'] >= len(mexico)]\n",
        "german = data[(data['Country'] == 'Germany')]\n",
        "german = german[german['Id'] >= len(mexico)]\n",
        "france = data[(data['Country'] == 'France')]\n",
        "france = france[france['Id'] >= len(mexico)]\n",
        "\n",
        "ax = plt.gca()\n",
        "\n",
        "spain.plot(kind='line',x='Id',y='Total_Cases', color='red', ax=ax, title='Cases Propagation countries after arrived days in Mexico', figsize=(20,5), label=\"España\")\n",
        "eu.plot(kind='line', x='Id',y='Total_Cases', color='orange', ax=ax, label=\"EU\")\n",
        "japan.plot(kind='line',x='Id',y='Total_Cases', color='brown', ax=ax, label=\"Japon\")\n",
        "german.plot(kind='line',x='Id',y='Total_Cases', color='pink', ax=ax, label=\"Alemania\")\n",
        "france.plot(kind='line',x='Id',y='Total_Cases', color='blue', ax=ax, label=\"Francia\")\n",
        "\n",
        "ax.set_xlabel(\"Time propagation days\")\n",
        "ax.set_ylabel(\"Cases\")\n",
        "ax.can_zoom()\n",
        "plt.show()\n",
        "\n",
        "ax = plt.gca()\n",
        "\n",
        "spain.plot(kind='line',x='Id',y='Total_Deaths', color='red', ax=ax, title='Deaths countries after arrived days in Mexico', figsize=(20,5), label=\"España\")\n",
        "eu.plot(kind='line', x='Id',y='Total_Deaths', color='orange', ax=ax, label=\"EU\")\n",
        "japan.plot(kind='line',x='Id',y='Total_Deaths', color='brown', ax=ax, label=\"Japon\")\n",
        "german.plot(kind='line',x='Id',y='Total_Deaths', color='pink', ax=ax, label=\"Alemania\")\n",
        "france.plot(kind='line',x='Id',y='Total_Deaths', color='blue', ax=ax, label=\"Francia\")\n",
        "\n",
        "ax.set_xlabel(\"Time deaths days\")\n",
        "ax.set_ylabel(\"Cases\")\n",
        "ax.can_zoom()\n",
        "plt.show()\n",
        "\n",
        "ax = plt.gca()\n",
        "\n",
        "spain.plot(kind='line',x='Id',y='Impact', color='red', ax=ax, title='Virus impact', figsize=(20,5), label=\"España\")\n",
        "eu.plot(kind='line', x='Id',y='Impact', color='orange', ax=ax, label=\"EU\")\n",
        "japan.plot(kind='line',x='Id',y='Impact', color='brown', ax=ax, label=\"Japon\")\n",
        "german.plot(kind='line',x='Id',y='Impact', color='pink', ax=ax, label=\"Alemania\")\n",
        "france.plot(kind='line',x='Id',y='Impact', color='blue', ax=ax, label=\"Francia\")\n",
        "\n",
        "ax.set_xlabel(\"Time deaths days\")\n",
        "ax.set_ylabel(\"Cases\")\n",
        "ax.can_zoom()\n",
        "plt.show()\n",
        "\n",
        "japan.head(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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CrYfyQK3k/heTfaZ2ILtpwWTgR3lzZX7mSJK0gkgVzqUqSZLWNxHRiuyPxrpr2oshsruO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\nbs6cObzxxhvcf//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DUEqSJGlVzP8Whp8Hnz8BjXaD/V6CRrsWuipJkqR1jqGUJElSZX3d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\n9/8Db3fHhfqyYuMAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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kSeXRO+8kQ+KmToVLL4XrroNCP5BIkiSVemvpNMqFxx9/nJNOOmnFvEoA++23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\nNBs0dORCAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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igSA72zc97PPPXZfQeefBxIkuEIqO9rpCEREREZEzhj+njw0FfrHW7gUwxrwP9APKhELW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\nERFJKR2h0C1APXAAiA7f+2lr7a9He06mh0JdXfD007EQaNc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eldzlq2gx5Op+JCIiIiKS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\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "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>Date</th>\n",
              "      <th>Day</th>\n",
              "      <th>Month</th>\n",
              "      <th>year</th>\n",
              "      <th>Cases</th>\n",
              "      <th>Deaths</th>\n",
              "      <th>Country</th>\n",
              "      <th>Period</th>\n",
              "      <th>Id</th>\n",
              "      <th>Total_Cases</th>\n",
              "      <th>Total_Deaths</th>\n",
              "      <th>StartDeaths</th>\n",
              "      <th>Impact</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>4173</th>\n",
              "      <td>2020-02-28</td>\n",
              "      <td>28</td>\n",
              "      <td>2</td>\n",
              "      <td>2020</td>\n",
              "      <td>24</td>\n",
              "      <td>0</td>\n",
              "      <td>Japan</td>\n",
              "      <td>228</td>\n",
              "      <td>13</td>\n",
              "      <td>210</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1.428571</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4172</th>\n",
              "      <td>2020-02-29</td>\n",
              "      <td>29</td>\n",
              "      <td>2</td>\n",
              "      <td>2020</td>\n",
              "      <td>20</td>\n",
              "      <td>0</td>\n",
              "      <td>Japan</td>\n",
              "      <td>229</td>\n",
              "      <td>14</td>\n",
              "      <td>230</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1.304348</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4171</th>\n",
              "      <td>2020-03-01</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>9</td>\n",
              "      <td>2</td>\n",
              "      <td>Japan</td>\n",
              "      <td>301</td>\n",
              "      <td>15</td>\n",
              "      <td>239</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>2.092050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4170</th>\n",
              "      <td>2020-03-02</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>Japan</td>\n",
              "      <td>302</td>\n",
              "      <td>16</td>\n",
              "      <td>254</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>2.362205</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4168</th>\n",
              "      <td>2020-03-04</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>14</td>\n",
              "      <td>0</td>\n",
              "      <td>Japan</td>\n",
              "      <td>304</td>\n",
              "      <td>17</td>\n",
              "      <td>268</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>2.238806</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4167</th>\n",
              "      <td>2020-03-05</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>49</td>\n",
              "      <td>0</td>\n",
              "      <td>Japan</td>\n",
              "      <td>305</td>\n",
              "      <td>18</td>\n",
              "      <td>317</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>1.892744</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4166</th>\n",
              "      <td>2020-03-06</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>32</td>\n",
              "      <td>0</td>\n",
              "      <td>Japan</td>\n",
              "      <td>306</td>\n",
              "      <td>19</td>\n",
              "      <td>349</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>1.719198</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4165</th>\n",
              "      <td>2020-03-07</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>59</td>\n",
              "      <td>0</td>\n",
              "      <td>Japan</td>\n",
              "      <td>307</td>\n",
              "      <td>20</td>\n",
              "      <td>408</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>1.470588</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4164</th>\n",
              "      <td>2020-03-08</td>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>47</td>\n",
              "      <td>0</td>\n",
              "      <td>Japan</td>\n",
              "      <td>308</td>\n",
              "      <td>21</td>\n",
              "      <td>455</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>1.318681</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4163</th>\n",
              "      <td>2020-03-09</td>\n",
              "      <td>9</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>33</td>\n",
              "      <td>1</td>\n",
              "      <td>Japan</td>\n",
              "      <td>309</td>\n",
              "      <td>22</td>\n",
              "      <td>488</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>1.434426</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4162</th>\n",
              "      <td>2020-03-10</td>\n",
              "      <td>10</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>26</td>\n",
              "      <td>2</td>\n",
              "      <td>Japan</td>\n",
              "      <td>310</td>\n",
              "      <td>23</td>\n",
              "      <td>514</td>\n",
              "      <td>9</td>\n",
              "      <td>1</td>\n",
              "      <td>1.750973</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4161</th>\n",
              "      <td>2020-03-11</td>\n",
              "      <td>11</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>54</td>\n",
              "      <td>3</td>\n",
              "      <td>Japan</td>\n",
              "      <td>311</td>\n",
              "      <td>24</td>\n",
              "      <td>568</td>\n",
              "      <td>12</td>\n",
              "      <td>1</td>\n",
              "      <td>2.112676</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4160</th>\n",
              "      <td>2020-03-12</td>\n",
              "      <td>12</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>51</td>\n",
              "      <td>3</td>\n",
              "      <td>Japan</td>\n",
              "      <td>312</td>\n",
              "      <td>25</td>\n",
              "      <td>619</td>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>2.423263</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4159</th>\n",
              "      <td>2020-03-13</td>\n",
              "      <td>13</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>56</td>\n",
              "      <td>4</td>\n",
              "      <td>Japan</td>\n",
              "      <td>313</td>\n",
              "      <td>26</td>\n",
              "      <td>675</td>\n",
              "      <td>19</td>\n",
              "      <td>1</td>\n",
              "      <td>2.814815</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4158</th>\n",
              "      <td>2020-03-14</td>\n",
              "      <td>14</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>62</td>\n",
              "      <td>2</td>\n",
              "      <td>Japan</td>\n",
              "      <td>314</td>\n",
              "      <td>27</td>\n",
              "      <td>737</td>\n",
              "      <td>21</td>\n",
              "      <td>1</td>\n",
              "      <td>2.849389</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4157</th>\n",
              "      <td>2020-03-15</td>\n",
              "      <td>15</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>43</td>\n",
              "      <td>1</td>\n",
              "      <td>Japan</td>\n",
              "      <td>315</td>\n",
              "      <td>28</td>\n",
              "      <td>780</td>\n",
              "      <td>22</td>\n",
              "      <td>1</td>\n",
              "      <td>2.820513</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4156</th>\n",
              "      <td>2020-03-16</td>\n",
              "      <td>16</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>34</td>\n",
              "      <td>2</td>\n",
              "      <td>Japan</td>\n",
              "      <td>316</td>\n",
              "      <td>29</td>\n",
              "      <td>814</td>\n",
              "      <td>24</td>\n",
              "      <td>1</td>\n",
              "      <td>2.948403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4155</th>\n",
              "      <td>2020-03-17</td>\n",
              "      <td>17</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>10</td>\n",
              "      <td>4</td>\n",
              "      <td>Japan</td>\n",
              "      <td>317</td>\n",
              "      <td>30</td>\n",
              "      <td>824</td>\n",
              "      <td>28</td>\n",
              "      <td>1</td>\n",
              "      <td>3.398058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4154</th>\n",
              "      <td>2020-03-18</td>\n",
              "      <td>18</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>Japan</td>\n",
              "      <td>318</td>\n",
              "      <td>31</td>\n",
              "      <td>829</td>\n",
              "      <td>28</td>\n",
              "      <td>1</td>\n",
              "      <td>3.377563</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4153</th>\n",
              "      <td>2020-03-19</td>\n",
              "      <td>19</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>44</td>\n",
              "      <td>1</td>\n",
              "      <td>Japan</td>\n",
              "      <td>319</td>\n",
              "      <td>32</td>\n",
              "      <td>873</td>\n",
              "      <td>29</td>\n",
              "      <td>1</td>\n",
              "      <td>3.321879</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4152</th>\n",
              "      <td>2020-03-20</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>77</td>\n",
              "      <td>4</td>\n",
              "      <td>Japan</td>\n",
              "      <td>320</td>\n",
              "      <td>33</td>\n",
              "      <td>950</td>\n",
              "      <td>33</td>\n",
              "      <td>1</td>\n",
              "      <td>3.473684</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4151</th>\n",
              "      <td>2020-03-21</td>\n",
              "      <td>21</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>57</td>\n",
              "      <td>2</td>\n",
              "      <td>Japan</td>\n",
              "      <td>321</td>\n",
              "      <td>34</td>\n",
              "      <td>1007</td>\n",
              "      <td>35</td>\n",
              "      <td>1</td>\n",
              "      <td>3.475670</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4150</th>\n",
              "      <td>2020-03-22</td>\n",
              "      <td>22</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>39</td>\n",
              "      <td>1</td>\n",
              "      <td>Japan</td>\n",
              "      <td>322</td>\n",
              "      <td>35</td>\n",
              "      <td>1046</td>\n",
              "      <td>36</td>\n",
              "      <td>1</td>\n",
              "      <td>3.441683</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4149</th>\n",
              "      <td>2020-03-23</td>\n",
              "      <td>23</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>43</td>\n",
              "      <td>5</td>\n",
              "      <td>Japan</td>\n",
              "      <td>323</td>\n",
              "      <td>36</td>\n",
              "      <td>1089</td>\n",
              "      <td>41</td>\n",
              "      <td>1</td>\n",
              "      <td>3.764922</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4148</th>\n",
              "      <td>2020-03-24</td>\n",
              "      <td>24</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>39</td>\n",
              "      <td>1</td>\n",
              "      <td>Japan</td>\n",
              "      <td>324</td>\n",
              "      <td>37</td>\n",
              "      <td>1128</td>\n",
              "      <td>42</td>\n",
              "      <td>1</td>\n",
              "      <td>3.723404</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4147</th>\n",
              "      <td>2020-03-25</td>\n",
              "      <td>25</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>65</td>\n",
              "      <td>1</td>\n",
              "      <td>Japan</td>\n",
              "      <td>325</td>\n",
              "      <td>38</td>\n",
              "      <td>1193</td>\n",
              "      <td>43</td>\n",
              "      <td>1</td>\n",
              "      <td>3.604359</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4146</th>\n",
              "      <td>2020-03-26</td>\n",
              "      <td>26</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>75</td>\n",
              "      <td>2</td>\n",
              "      <td>Japan</td>\n",
              "      <td>326</td>\n",
              "      <td>39</td>\n",
              "      <td>1268</td>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>3.548896</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4145</th>\n",
              "      <td>2020-03-27</td>\n",
              "      <td>27</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>96</td>\n",
              "      <td>1</td>\n",
              "      <td>Japan</td>\n",
              "      <td>327</td>\n",
              "      <td>40</td>\n",
              "      <td>1364</td>\n",
              "      <td>46</td>\n",
              "      <td>1</td>\n",
              "      <td>3.372434</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4144</th>\n",
              "      <td>2020-03-28</td>\n",
              "      <td>28</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>135</td>\n",
              "      <td>3</td>\n",
              "      <td>Japan</td>\n",
              "      <td>328</td>\n",
              "      <td>41</td>\n",
              "      <td>1499</td>\n",
              "      <td>49</td>\n",
              "      <td>1</td>\n",
              "      <td>3.268846</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4143</th>\n",
              "      <td>2020-03-29</td>\n",
              "      <td>29</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>194</td>\n",
              "      <td>3</td>\n",
              "      <td>Japan</td>\n",
              "      <td>329</td>\n",
              "      <td>42</td>\n",
              "      <td>1693</td>\n",
              "      <td>52</td>\n",
              "      <td>1</td>\n",
              "      <td>3.071471</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4142</th>\n",
              "      <td>2020-03-30</td>\n",
              "      <td>30</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>173</td>\n",
              "      <td>2</td>\n",
              "      <td>Japan</td>\n",
              "      <td>330</td>\n",
              "      <td>43</td>\n",
              "      <td>1866</td>\n",
              "      <td>54</td>\n",
              "      <td>1</td>\n",
              "      <td>2.893891</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4141</th>\n",
              "      <td>2020-03-31</td>\n",
              "      <td>31</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>87</td>\n",
              "      <td>2</td>\n",
              "      <td>Japan</td>\n",
              "      <td>331</td>\n",
              "      <td>44</td>\n",
              "      <td>1953</td>\n",
              "      <td>56</td>\n",
              "      <td>1</td>\n",
              "      <td>2.867384</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4139</th>\n",
              "      <td>2020-04-02</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2020</td>\n",
              "      <td>225</td>\n",
              "      <td>1</td>\n",
              "      <td>Japan</td>\n",
              "      <td>402</td>\n",
              "      <td>45</td>\n",
              "      <td>2178</td>\n",
              "      <td>57</td>\n",
              "      <td>1</td>\n",
              "      <td>2.617080</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           Date  Day  Month  ...  Total_Deaths  StartDeaths    Impact\n",
              "4173 2020-02-28   28      2  ...             3            1  1.428571\n",
              "4172 2020-02-29   29      2  ...             3            1  1.304348\n",
              "4171 2020-03-01    1      3  ...             5            1  2.092050\n",
              "4170 2020-03-02    2      3  ...             6            1  2.362205\n",
              "4168 2020-03-04    4      3  ...             6            1  2.238806\n",
              "4167 2020-03-05    5      3  ...             6            1  1.892744\n",
              "4166 2020-03-06    6      3  ...             6            1  1.719198\n",
              "4165 2020-03-07    7      3  ...             6            1  1.470588\n",
              "4164 2020-03-08    8      3  ...             6            1  1.318681\n",
              "4163 2020-03-09    9      3  ...             7            1  1.434426\n",
              "4162 2020-03-10   10      3  ...             9            1  1.750973\n",
              "4161 2020-03-11   11      3  ...            12            1  2.112676\n",
              "4160 2020-03-12   12      3  ...            15            1  2.423263\n",
              "4159 2020-03-13   13      3  ...            19            1  2.814815\n",
              "4158 2020-03-14   14      3  ...            21            1  2.849389\n",
              "4157 2020-03-15   15      3  ...            22            1  2.820513\n",
              "4156 2020-03-16   16      3  ...            24            1  2.948403\n",
              "4155 2020-03-17   17      3  ...            28            1  3.398058\n",
              "4154 2020-03-18   18      3  ...            28            1  3.377563\n",
              "4153 2020-03-19   19      3  ...            29            1  3.321879\n",
              "4152 2020-03-20   20      3  ...            33            1  3.473684\n",
              "4151 2020-03-21   21      3  ...            35            1  3.475670\n",
              "4150 2020-03-22   22      3  ...            36            1  3.441683\n",
              "4149 2020-03-23   23      3  ...            41            1  3.764922\n",
              "4148 2020-03-24   24      3  ...            42            1  3.723404\n",
              "4147 2020-03-25   25      3  ...            43            1  3.604359\n",
              "4146 2020-03-26   26      3  ...            45            1  3.548896\n",
              "4145 2020-03-27   27      3  ...            46            1  3.372434\n",
              "4144 2020-03-28   28      3  ...            49            1  3.268846\n",
              "4143 2020-03-29   29      3  ...            52            1  3.071471\n",
              "4142 2020-03-30   30      3  ...            54            1  2.893891\n",
              "4141 2020-03-31   31      3  ...            56            1  2.867384\n",
              "4139 2020-04-02    2      4  ...            57            1  2.617080\n",
              "\n",
              "[33 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UtOoJ1-AI3jO",
        "colab_type": "text"
      },
      "source": [
        "# Worse of Cases"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dVNixwHmI2DT",
        "colab_type": "code",
        "outputId": "fe18d041-dfc8-4115-f7ea-2aedc0d6420d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "# Filter by country\n",
        "italy = data[(data['Country'] == 'Italy')]\n",
        "china = data[(data['Country'] == 'China')]\n",
        "\n",
        "ax = plt.gca()\n",
        "\n",
        "italy.plot(kind='line',x='Id',y='Total_Cases', color='blue', ax=ax, title='Cases china and italy', figsize=(20,5), label=\"Italy\")\n",
        "china.plot(kind='line',x='Id',y='Total_Cases', color='red', ax=ax, label=\"China\")\n",
        "\n",
        "ax.set_xlabel(\"Time propagation days\")\n",
        "ax.set_ylabel(\"Cases\")\n",
        "ax.can_zoom()\n",
        "plt.show()\n",
        "\n",
        "ax = plt.gca()\n",
        "\n",
        "italy.plot(kind='line',x='Id',y='Total_Deaths', color='blue', ax=ax, title='Deaths china and italy', figsize=(20,5), label=\"Italia\")\n",
        "china.plot(kind='line',x='Id',y='Total_Deaths', color='red', ax=ax, label=\"China\")\n",
        "\n",
        "ax.set_xlabel(\"Time deaths days\")\n",
        "ax.set_ylabel(\"Cases\")\n",
        "ax.can_zoom()\n",
        "plt.show()\n",
        "\n",
        "ax = plt.gca()\n",
        "\n",
        "italy.plot(kind='line',x='Id',y='Impact', color='blue', ax=ax, title='Virus impact', figsize=(20,5), label=\"Italia\")\n",
        "china.plot(kind='line',x='Id',y='Impact', color='red', ax=ax, label=\"China\")\n",
        "\n",
        "ax.set_xlabel(\"Time deaths days\")\n",
        "ax.set_ylabel(\"Cases\")\n",
        "ax.can_zoom()\n",
        "plt.show()\n",
        "\n",
        "italy.head(50)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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AVGAKcBdwFkCMcR7wF+A/2XZlNkZ2Tv/smo+AIdn4ij5DkiSpzpg+HXr2hDPPhF13hffe\ng5NOMpCSJEkr1rlzZ0aPHl3msebNm/93v3HjxhQVFf3onKZNmxKyv2yUPufcc8/lnHPOYfz48dx5\n550UFhZWSb3V1ikVYzxuBYf2LePcCJy9gvvcDdxdxvgoYNsyxueW9RmSJEl1xaBBKYxavBj+/ve0\nbxglSVIdUomOpsrYZ599+MMf/kC/fv3o06cPAOPGjePVV1+t1H0XLFjARhul58sNHDiw0nWWyG2h\nc0mSJC0rRrjiCjjuOOjcGcaOhf/3/wykJElSxYQQePLJJxk+fDibb745nTt35ve//z0/+clPKnXf\nK664gqOPPppu3brRtm3bKqoWQslq6w1dQUFBLFltXpIkqaYtXgx9+sC998Ipp8Cdd0LTpnlXJUmS\nKmrixIlsvfXWeZeRq7J+gxDC6BhjQVnn2yklSZKUs6+/hkMOSYHUFVfAgAEGUpIkqf6r6afvSZIk\nqZQZM+Dgg2HCBLjnHjj55LwrkiRJqhmGUpIkSTkZPz4FUgsWwHPPwQEH5F2RJElSzXH6niRJUg5G\njoTdd4clS+CVVwykJEmqDxryut2r890NpSRJkmrY/fdDz56wySbw5pvQtWveFUmSpMpq0aIFc+fO\nbZDBVIyRuXPn0qJFi1W6zul7kiRJNSRGuPpquPxy2GcfePxxWHfdvKuSJElVoX379kyfPp3Zs2fn\nXUouWrRoQfv27VfpGkMpSZKkGlBUBGedBXfdBSeckJ6w16xZ3lVJkqSq0rRpUzbbbLO8y6hTnL4n\nSZJUzRYuhMMOS4HUZZfBffcZSEmSJNkpJUmSVI1mzoRDD4WxY+HOO6FPn7wrkiRJqh0MpSRJkqrJ\nxIlw0EEwZw4MHgwHH5x3RZIkSbWHoZQkSVI1GD8+LWbeuDG8/DJ065Z3RZIkSbWLoZQkSVIVKwmk\nmjeHl16CLbbIuyJJkqTax4XOJUmSqtB776VAqlkzePFFAylJkqQVMZSSJEmqIqUDqZdego4d865I\nkiSp9jKUkiRJqgLvv58CqSZNUoeUgZQkSVL5DKUkSZIqacKEZQOpLbfMuyJJkqTaz1BKkiSpEiZO\nTIFUo0YpkNpqq7wrkiRJqhsMpSRJklbTxInQoweEYCAlSZK0qgylJEmSVsMHH6RAClIg1alTvvVI\nkiTVNYZSkiRJq+jDDw2kJEmSKqtJ3gVIkiTVJSWB1JIlKZDaeuu8K5IkSaqbDKUkSZIqaNKkFEgV\nFaVAaptt8q5IkiSp7nL6niRJUgVMnrxsINW5c94VSZIk1W2GUpIkSSsxZQrsvTcsXgwjRxpISZIk\nVQWn70mSJJWjJJBatCgFUttum3dFkiRJ9YOdUpIkSStQEkj98AOMGAHbbZd3RZIkSfWHnVKSJEll\nmDIlrSFVWJg6pLbfPu+KJEmS6hc7pSRJkpbz0UcpkPr+ewMpSZKk6mIoJUmSVMpHH6UpewZSkiRJ\n1ctQSpIkKVM6kBoxwkBKkiSpOhlKSZIkAVOnLp2yN2IEdOmSd0WSJEn1mwudS5KkBm/q1NQh9e23\nacqegZQkSVL1s1NKkiQ1aKUDKTukJEmSao6dUpIkqcEqmbJXEkh17Zp3RZIkqcYtWQKLF0NR0dJt\n+felt+LiZV/LGyvZlixJW0X3W7eGM8/M+5epdoZSkiSpQfr44xRILVwIw4cbSEmStEIxLhvSlOyX\nNbaq2+LFZW+LFlV8fEX3KWu8rHpjzPsX/rEttzSUkiRJqo8+/jhN2fvmm9QhtcMOeVckScpVjMt2\nqizfuVJWJ0vJ+9LdMCsbKypKoUrJVhKyrGxbvutmVbfS15e1v/zY8sHNkiX5/Lk0aQJNmy67NWv2\n47HS57VoUfb48mNNmvx4v7z3jRun/caNl74vOae8sUaN0n7jxmm/5H1F9huAXEKpEMKFwOlABMYD\npwAbAoOANsBo4MQY46IQQnPgPqAbMBc4NsY4LbvP74HTgGLgvBjj0Gy8J3Az0BjoH2O8pua+nSRJ\nqs0MpKQaFOPSrfQ/7ldlK32P5e+5smPLX1/WWFnnVORYZbey6q3oWB7b8n8mK/szK+vPb3U/r6Kf\nXV7nTnkdPXkFLitTOoQpCTlWZ2vWDFq2XDY4WT5EKWusrOCmomOrspXUuHx41LQphJD3n4KqWY2H\nUiGEjYDzgG1ijN+HEB4BegEHA31jjINCCP8ghU13ZK9fxRi3CCH0Aq4Fjg0hbJNd1xn4KTA8hLBl\n9jG3A/sD04H/hBAGxxgn1ODXlCRJtdC0aWnKnoGUaqXi4hVPYylv++GHpVthYcX3l59+U9GpOasa\nKKl+CCF1b5S8rmhb/rwQVn1b2b1XdGyNNVatC6ak62VFnSore1+yv3wIVNZYyXiTJtC8+dKwaUWb\ngYwaiLym7zUBWoYQFgNrADOBfYBfZccHAleQQqnDs32Ax4DbQgghGx8UY/wB+DiEMAXYOTtvSoxx\nKkAIYVB2rqGUJEkN2GefwT77wNdfpzWkDKQamJL1UL7/fulWWLjs++XHCwuXXb9k+deVHStvTZSy\nzqmuAKfkH8HNm6dpLSX7Jd0Xpf+h3rLlyrsflv9HekUDilW5rvT1y2+w4jCj9LGyrl9+rLzQZHUD\nlVXZyvouFR3LY5OkKlbjoVSMcUYI4QbgU+B74F+k6XrzY4xF2WnTgY2y/Y2Az7Jri0IIC0hT/DYC\n3ix169LXfLbc+C7V8FUkSVIdMXMm7LsvzJ2bOqR23DHvilQliorgiy/SH/CsWem1rP05c1LIVNkp\nOiXriZR0MazotWRbYw1YZ52Vr4VSkWPlbSUh0/KhU8nWQNYlkSTVPXlM32tN6lzaDJgPPAr0rOk6\nslr6AH0ANtlkkzxKkCRJ1Wz2bNhvP/j8c/jXv6CgIO+KVKYY4bvvYN68lB6W9TpnzrKB05w5ZXcX\ntWkDG24IP/lJenpRu3YpIGrRInUCld6WHyv9vqSbqCQsatSo5n8XSZLqsTym7+0HfBxjnA0QQngC\n2A1YN4TQJOuWag/MyM6fAWwMTA8hNAHWIS14XjJeovQ1KxpfRoyxH9APoKCgwAnvkiTVM/Pmwf77\nw9SpMGQI/PzneVdUjy1ZAgsXpvmRX38NCxYs3S+9LViQtnnzlg2c5s1L6xytSMuWS8OmTTeF7t2X\nBk8bbrh022CDFCJJkqRaL49Q6lOgewhhDdL0vX2BUcCLwFGkJ/D1Bp7Ozh+cvX8jOz4yxhhDCIOB\nB0MIfyMtdN4ReBsIQMcQwmakMKoXS9eqkiRJDcSCBdCzJ0ycCM88k564pwpYtGhpWLSybd68peHT\nN99U7P5rrglrrw3rrZdCpo4d02vJ+7Je11svhVKSJKleyWNNqbdCCI8B7wBFwBhSt9JzwKAQwv9l\nYwOySwYA92cLmc8jhUzEGN/Pntw3IbvP2THGYoAQwjnAUKAxcHeM8f2a+n6SJCl/CxfCIYfAmDHw\nxBNwwAF5V1TDSqbCffXV0i6ksvZLj5UETQsXrvi+zZunoKhk69QJ1l03hUzLb+us8+OxVq3SQtmS\nJElAiD6mFUjT90aNGpV3GZIkqZK+/z4FUi+/DA8/DEcdlXdFVSDGFBZ9+WVa2PvLL3+8lYzPnZvC\npkWLVny/Jk2gdeulXUitWy8bNpV0KS2/rbGGT+CSJEmrJIQwOsZY5qqe/q8qSZJUb/zwAxx5JLz0\nEtx/f86B1JIlaZX1r75KXUvff5+2kv3lX5cf++qrZQOowsKyP2edddI6SuuvD1ttBW3bLg2aSodO\npfdbtTJckiRJuTOUkiRJ9cLixXDMMTB0KAwYAMcfX40fVlSUngI3ffqPtxkzlr4uXlzxezZpkjqR\nSp781rp1Cpq22Sa9lmwlAdT666enyjVvXn3fU5IkqRoZSkmSpDqvqCiFUIMHw+23w6mnVsENP/kE\nPvoIpkxJr9OmLQ2eZs1KnVCltWgB7dunbffdl+6vt97SsKl06FR6v2VLaNq0kkVLkiTVLYZSkiSp\nTisuhlNOgUcfhRtvhLPOquCFhYUwdeqywVPpAKqoaOm5LVtChw4pZOrceWngVHpr3dopcZIkSavA\nUEqSJNVZS5bAmWfCP/8JV10FF1203AmLF6fgadKktH34IUyenIKn6dPTAuIl1lkHttgCunVL8wC3\n2AI23zy9brihgZMkSVIVM5SSJEl1Uoxw3nnQv3/k2vNn8ttdP4Q7S4VPkyalQKq4eOlFbdtCx46w\n994pbCodPK23nsGTJElSDQqx9P8hbMAKCgriqFGj8i5DkiRBegLd/PnpCXRlbHHeV4wdOoviDyfT\nuekkWixeuPTali1T8LTllulpdFtuuXRbb738vpMkSVIDFEIYHWMsKOuYnVKSJKnmxQgTJsBzz8Fr\nr8GcOcsGTz/8UO7lPzRbi7UWteOHTbak+eG7Q6dS4VP79tCoUQ19EUmSJK0uQylJklQzCgvhxRdT\nEPXss+npdgBbb53WbNpmm7RYeFnbuutC69Z836I1vc9fl0efbMJ550HfvhDMnyRJkuokQylJklR9\npk9PIdRzz8Hw4Wla3hprwH77wR/+AAcfnDqbKmDOHDj8cHjjDfjb3+DCC6u5dkmSJFUrQylJklR1\niovhrbeWdkONG5fGN9sMTjsNDjkkLTLeosUq3fajj+Cgg+DTT+GRR+Coo6q+dEmSJNUsQylJklQ5\n334LL7wATz0FQ4bA3LnQuDHsvjtcd10KorbeerWfbPfWW/CLX6S8a8QI2G23Kq5fkiRJuTCUkiRJ\nq27ePHjmGXjiCfjXv9J6UW3apOl4hxwCBx6Y1oGqpKefhuOOS0tODRmS1jGXJElS/WAoJUmSKmbG\njNQN9cQT8PLLqXWpfXvo0weOPDJ1RjWpur9a3HYbnHceFBSkmYDrr19lt5YkSVItYCglSZJWbNIk\nePLJFES9/XYa69QJfvtb+J//gW7dVnta3oosWQK/+x3ccAMcdhg8+CCsuWaVfoQkSZJqAUMpSZK0\nVIzw7rsphHrySXj//TReUABXXZU6orbeuto+vrAQevdOi5mffTbcfHNankqSJEn1j6GUJEmCiRPh\noYdg0CCYPBkaNYI99kip0BFHwCabVHsJc+emj/r3v+H66+Hii6u8CUuSJEm1iKGUJEkN1ccfpxBq\n0CAYNy4lQD16wG9+k9Khdu1qrJSpU9Ma6SUlHXtsjX20JEmScmIoJUlSQ/L552lu3KBB8NZbaWzX\nXeGWW+Coo9Jj7mrYf/4Dhx4KixfD8OGpQUuSJEn1n6GUJEn13dy58PjjaXreyy+ndaO6doVrr4Vj\njoEOHXIr7dlnU1fU+uvD889X63JVkiRJqmUMpSRJqo8WLIDBg1MQNWwYFBXBVlvBn/6UUqBOnfKu\nkDvvhLPOgh12SOHUT36Sd0WSJEmqSYZSkiTVF998A888k6bnDRkCixbBppumFcN79YIuXWrFyuEx\nwuWXw9VXw0EHpXJbtcq7KkmSJNU0QylJkuqyb79NbUaPPJLmvxUWwkYbpRakY46B7t1rRRBVYtEi\nOP10uP/+9HrHHdDEv41IkiQ1SP41UJKkuua771In1MMPp0Dq++/T3LczzkhT83bdFRo1yrvKH/n6\na/jlL9Ni5ldembqlalFeJkmSpBpmKCVJUl1QWAgvvJCCqGeeSR1S668Pp5ySOqJ23x0aN867yhWa\nMQMOPhgmTIB77oGTT867IkmSJOXNUEqSpNrs7bfh73+HJ55Ia0a1bQsnnJCCqL32qtVBVIn3309r\nR331FTz3HBxwQN4VSZIkqTYwlJIkqbZZtAgefRRuuSWFUmutlUKoY4+FHj3q1CJML70ERxwBa6wB\nr74KXbvmXZEkSZJqi7rzt1pJkuq7mTPhH/+AO++EL76ArbaCW2+Fk06CtdfOu7pVNmgQ9O4Nm2+e\nlsDadNO8K5IkSVJtYiglSVKeYoQ330zh06OPQnFxWnzp3HNh//1r5YLlKxMj3Hgj/OY3sOee8NRT\n0Lp13lVJkiSptjGUkiQpDz/8kBYtv+UWGD06dUKdcw6cfTZssUXe1a224mK48MKUsR1zDAwcCC1a\n5F2VJEmSaiNDKUmSatKMGXDHHdCvH8yeDVtvnRYyP/FEaNUq7+oq5fvv4fjj4ckn4eKL4brr6mSj\nlyRJkmqIoZQkSTXhq6/goovgn/9M7US/+EWaorfvvhBC3tVV2uzZaUHzN96Am26C88/PuyJJkiTV\ndoZSkiRVtxEj4OSTYdasNM06MKgAACAASURBVEXv3HPhZz/Lu6oq8847cOSR8OWXaVmsX/4y74ok\nSZJUF9hUL0lSdSksTN1R++0Ha66Z2oj69q1XgdQDD8Buu6XFzf/9bwMpSZIkVZyhlCRJ1WHsWNhp\npxRCnX12aicqKMi7qipTVASXXAInnAA77wyjRkG3bnlXJUmSpLrEUEqSpKpUXAzXX5+SmjlzYMgQ\nuO02WGONvCurMvPmwcEHw403ptmIw4fD+uvnXZUkSZLqGteUkiSpqnzyCfTuDS+/DP/zP3DnndC2\nbd5VVanx49OC5tOnw4ABcOqpeVckSZKkuspOKUmSKitGuP9+2H77NE3v3nvhscfqXSD12GOw667w\n/fcpdzOQkiRJUmXkEkqFENYNITwWQvgghDAxhLBrCGG9EMKwEMLk7LV1dm4IIdwSQpgSQhgXQtix\n1H16Z+dPDiH0LjXeLYQwPrvmlhDqwbO2JUm107x5cOyxcNJJKZQaOzZ1S9Wj//QUF8Nll8HRR6ev\nOHo0dO+ed1WSJEmq6/LqlLoZeCHG2AnoAkwELgVGxBg7AiOy9wAHAR2zrQ9wB0AIYT3gT8AuwM7A\nn0qCrOycM0pd17MGvpMkqaEZPhy22w6eegr++ld46SXYbLO8q6pS8+fD4YfD1VfD6afDiy/Chhvm\nXZUkSZLqgxoPpUII6wB7AgMAYoyLYozzgcOBgdlpA4Ejsv3Dgfti8iawbghhQ+BAYFiMcV6M8Stg\nGNAzO7Z2jPHNGGME7it1L0mSKu/77+GCC2D//WGddeCtt+DSS6Fx47wrq1ITJ8Iuu8DQoXDHHdCv\nHzRvnndVkiRJqi/y6JTaDJgN3BNCGBNC6B9CWBPYIMY4MztnFrBBtr8R8Fmp66dnY+WNTy9j/EdC\nCH1CCKNCCKNmz55dya8lSWowevWCm2+G885Lc9l22CHviqrc4MEpkJo/H0aOhDPPrFczEiVJklQL\n5BFKNQF2BO6IMe4AfMvSqXoAZB1OsboLiTH2izEWxBgL2rVrV90fJ0mqDz7+OCU2l1+egqmWLfOu\nqErFCFdemabsbbUVjBoFe+yRd1WSJEmqj/IIpaYD02OMb2XvHyOFVF9kU+/IXr/Mjs8ANi51ffts\nrLzx9mWMS5JUeQMGQKNG8Otf511JlSsuhj594E9/ghNPhFdegY03Xvl1kiRJ0uqo8VAqxjgL+CyE\nsFU2tC8wARgMlDxBrzfwdLY/GDgpewpfd2BBNs1vKHBACKF1tsD5AcDQ7NjXIYTu2VP3Tip1L0mS\nVl9REdxzDxx0ELRvv/Lz65BFi+C446B//9QENnBgvWsCkyRJUi3TZFUvCCE0AlrFGL+uxOeeCzwQ\nQmgGTAVOIQVkj4QQTgM+AY7Jzn0eOBiYAnyXnUuMcV4I4S/Af7Lzrowxzsv2zwLuBVoCQ7JNkqTK\nGTIEPv8cbr8970qq1Lffwi9/mRY0v/FGuOiivCuSJElSQxDS8k0rOSmEB4EzgWJSCLQ2cHOM8frq\nLa/mFBQUxFGjRuVdhiSpNjv8cHj7bfj0U2jaNO9qqsT8+XDoofDGG+npeqedlndFkiRJqk9CCKNj\njAVlHavo9L1tss6oI0hdR5sBJ1ZRfZIk1X6ffw7PPQcnn1xvAqkvv4QePVLO9vDDBlKSJEmqWRUN\npZqGEJqSQqnBMcbF1MDT8SRJqjXuvTetBF5PkptPP01P1fvwQ3jmGTjqqLwrkiRJUkNT0VDqTmAa\nsCbwSghhU6Aya0pJklR3LFmSVgDv0QO22CLvairtww9h993hiy9g2DA48MC8K5IkSVJDVKFQKsZ4\nS4xxoxjjwTH5BOhRzbVJklQ7jBwJH38MZ5yRdyWVNmZM6pD64Qd46SXYbbe8K5IkSVJDVaFQKoSw\nQQhhQAhhSPZ+G6B3tVYmSVJt0b8/rLceHHlk3pVUyquvwt57Q4sWab9r17wrkiRJUkNW0el79wJD\ngZ9m7ycBF1RHQZIk1Spz5sCTT8KJJ6Y0p4564YU0TW/DDeG112DLLfOuSJIkSQ1dRUOptjHGR4Al\nADHGIqC42qqSJKm2uP9+WLQITj8970pW2yOPwGGHQadO8MorsPHGeVckSZIkVTyU+jaE0IbsiXsh\nhO7AgmqrSpKk2iBGuOsu6N4dtt0272pWy113Qa9esMsu8OKLsP76eVckSZIkJU0qeN5FwGBg8xDC\na0A7wIdHS5LqtzfegIkT05pSddANN8BvfgM9e8Ljj8Maa+RdkSRJkrRUhUKpGOM7IYS9gK2AAHwY\nY1xcrZVJkpS3u+6CVq3g2GPzrmSV3XZbCqSOOSbNQGzWLO+KJEmSpGVV9Ol7RwMtY4zvA0cAD4cQ\ndqzWyiRJytOCBWkxpuOOS8FUHfLII3DeeWkdqQceMJCSJElS7VTRNaX+GGP8JoSwO7AvMAC4o/rK\nkiQpZw89BN99B2eckXclq2TECDjhBNhtNxg0CJpUdKK+JEmSVMMqGkqVPGnvEOCuGONzgP/fVZJU\nf/XvD9tvDwUFeVdSYe+8A0ceCVtuCYMHQ8uWeVckSZIkrVhFQ6kZIYQ7gWOB50MIzVfhWkmS6pYx\nY2D06NQlFULe1VTIRx/BQQdB69YwdGh6lSRJkmqzigZLxwBDgQNjjPOB9YDfVFtVkiTlqX9/aNEC\njj8+70oq5Isv4IADoKgoBVIbbZR3RZIkSdLKVfTpe98BT4QQ1g8hbJINf1B9ZUmSlJPvvkurgx91\nVJ1oN/r669QhNWsWjBwJnTrlXZEkSZJUMRV9+t5hIYTJwMfAy9nrkOosTJKkXDz2WHry3umn513J\nSv3wQ1pDaty4VPYuu+RdkSRJklRxFZ2+9xegOzApxrgZsB/wZrVVJUlSXu66Czp2hD33zLuSchUX\nw4knpu6oe+5J3VKSJElSXVLRUGpxjHEu0CiE0CjG+CJQdx5HJElSRXzwAfz736lLqhYvcB4jnH8+\nPPoo3HBDCqckSZKkuqZCa0oB80MIrYBXgAdCCF8C31ZfWZIk5aB/f2jSBHr3zruScl11Fdx+O1xy\nCVx8cd7VSJIkSaun3FAqhLAFsAFwOPA9cCFwPLApcG61VydJUk1ZtAgGDoTDDoMNNsi7mhW66y74\n4x9Td9S11+ZdjSRJkrT6VjZ97ybg6xjjtzHGJTHGohjjQOBJ4Ipqr06SpJry9NMwZw6ccUbelazQ\nU0/BmWem9aMGDIBGFZ2EL0mSJNVCK/vr7AYxxvHLD2ZjHaqlIkmS8tC/P2yyCey/f96VlOmVV6BX\nLygoSGtJNW2ad0WSJElS5awslFq3nGMtq7IQSZJyM20aDBsGp54KjRvnXc2PjB+fZhV26ADPPQdr\nrpl3RZIkSVLlrSyUGhVC+NE8hhDC6cDo6ilJkqQaNmBAej311HzrKMOkSXDggSmIGjoU2rbNuyJJ\nkiSpaqzs6XsXAE+GEI5naQhVADQDjqzOwiRJqhFFRXDPPdCzJ2y8cd7VLGPyZOjRI5X44ouw6aZ5\nVyRJkiRVnXJDqRjjF8DPQwg9gG2z4edijCOrvTJJkmrCCy/AjBlw6615V7KMKVNSILVoEYwcCZ07\n512RJEmSVLVW1ikFQIzxReDFaq5FkqSa178/bLABHHpo3pX815QpsPfeUFiYAqnttsu7IkmSJKnq\n+TBpSVLDNXMmPPssnHxyrXmc3UcfpQ6pwkIYMQK23z7viiRJkqTqYSglSWqYPvgALrkEiovhtNPy\nrgaAqVNTIPXddzB8OHTpkndFkiRJUvWp0PQ9SZLqhalT4eGHYdAgGDcOQoAzz4SOHfOujI8/ToHU\nwoWpQ6pr17wrkiRJkqqXoZQkqX777DN45JEURI0alcZ23RVuugmOPhp++tN86wOmTUuB1DffpA6p\nHXbIuyJJkiSp+hlKSZLqn5kz4bHHUhD1+utprFs3uP76FERtumm+9ZXyyScpkFqwIAVSO+6Yd0WS\nJElSzTCUkiTVD3PmwOOPpyDq5ZchxvTYuquugmOOgS22yLvCH/n00xRIzZ8Pw4al3EySJElqKAyl\nJEl115IlaQGm229PT9ErLoZOneB//xeOPRa23jrvClfos89g771h3rwUSBUU5F2RJEmSVLMMpSRJ\ndc+CBXDvvfD3v8OkSdCuHVx8MfzqV7D99mkB81ps+vQUSM2dmwKpnXbKuyJJkiSp5hlKSZLqjvHj\nU1fUP/8J334L3bvD/fendaKaN8+7ugopCaRmz06B1M47512RJEmSlI9GeX1wCKFxCGFMCOHZ7P1m\nIYS3QghTQggPhxCaZePNs/dTsuMdSt3j99n4hyGEA0uN98zGpoQQLq3p7yZJqkKLF8PDD8Oee6Yu\nqIED09S80aPhjTfghBPqTCA1Y0ZaQ+rLL+Ff/4Jddsm7IkmSJCk/uYVSwPnAxFLvrwX6xhi3AL4C\nTsvGTwO+ysb7ZucRQtgG6AV0BnoCf8+CrsbA7cBBwDbAcdm5kqS65PPP4YorYJNNoFevlOhcf31q\nNRowoM49pu6jj2CvvWDWLBg6NDV5SZIkSQ1ZLqFUCKE9cAjQP3sfgH2Ax7JTBgJHZPuHZ+/Jju+b\nnX84MCjG+EOM8WNgCrBztk2JMU6NMS4CBmXnSpJquxjhlVfS0/I23RSuvDKFT889B5MnwyWXQJs2\neVe5ykaPhp//HL76Kk3Z23XXvCuSJEmS8pdXp9RNwG+BJdn7NsD8GGNR9n46sFG2vxHwGUB2fEF2\n/n/Hl7tmReOSpNoqRnjhhZTW7LUXDB8O55+fgqjnnoODD4ZGeTb3rr6hQ9NXatkSXnvNDilJkiSp\nRI3/DT+EcCjwZYxxdE1/dhm19AkhjAohjJo9e3be5UhSw1M6jDrooDS37R//SFP0brgBNt887wor\n5f774dBDYYst4PXXoVOnvCuSJEmSao88/rfzbsBhIYRppKl1+wA3A+uGEEqeBtgemJHtzwA2BsiO\nrwPMLT2+3DUrGv+RGGO/GGNBjLGgXbt2lf9mkqSKKSuM6tcPJk2CX/8a1lgj7worJUa49lo46aS0\nPvvLL8NPf5p3VZIkSVLtUuOhVIzx9zHG9jHGDqSFykfGGI8HXgSOyk7rDTyd7Q/O3pMdHxljjNl4\nr+zpfJsBHYG3gf8AHbOn+TXLPmNwDXw1SdLKlBdGnXEGNGuWd4WVVlycZh5eemlan/3552GddfKu\nSpIkSap9mqz8lBrzO2BQCOH/gDHAgGx8AHB/CGEKMI8UMhFjfD+E8AgwASgCzo4xFgOEEM4BhgKN\ngbtjjO/X6DeRJC0rxrS40hVXwFtvpUXM+/WD3r3rRRBVorAQTjwRHnsMLrooPSywji6FJUmSJFW7\nkJqOVFBQEEeNGpV3GZJUv5QVRl12Wb0LowDmz4cjjkhT9W64AS6+OO+KJEmSpPyFEEbHGAvKOlab\nOqUkSfVFA+mMKjFjBvTsCR9+CA88AL/6Vd4VSZIkSbWfoZQkqeoUFsJDD8FNN8G4cfU+jAKYMCEF\nUvPnw5AhsO++eVckSZIk1Q2GUpKkyps1C+64I22zZ8N228GAAXDCCfU2jAL497/hsMOgeXN45RXo\n2jXviiRJkqS6w1BKkrT6xoxJXVEPPQRFRXDooXDBBdCjB4SQd3XV6skn0zS9TTZJDxTcbLO8K5Ik\nSZLqFkMpSdKqKS6GZ55JYdTLL8Oaa8Kvfw3nnQcdO+ZdXbWLEW6+OT1db+ed4dlnoW3bvKuSJEmS\n6h5DKUlSxXz9Ndx9N9xyC3z8cVov6oYb4LTTYN11866uRnzxRfq6zz2Xpu09+GDK5CRJkiStOkMp\nSVL5pk6FW29Na0R98w3sthtcfz0cfjg0aTj/GXn2WTj11JTN3XwznHMONGqUd1WSJElS3dVw/jUh\nSVo1s2fD//5venpeo0Zw7LFw/vmw0055V1ajvvsOLrkkreG+/fYwciRsu23eVUmSJEl1n6GUJGlZ\nixbB7bfDn/8MCxfC2WfDpZfCT3+ad2U17p134Pjj4YMP0hpSV1+dnrQnSZIkqfIMpSRJSz3/PFx4\nIUyaBAceCH37wtZb511VjSsuhhtvhMsvh3btYNgw2G+/vKuSJEmS6hdXw5AkwcSJcNBBcMgh6f2z\nz8KQIQ0ykPrssxRA/e53aTHzceMMpCRJkqTqYCglSQ3ZvHlpnajttoM33oC//Q3Gj0/hVAh5V1fj\nHn44rRv1n/+kdd0ffRTatMm7KkmSJKl+MpSSpIaoqCitG9WxI9x2G5xxBkyenKbuNWuWd3U17uuv\n4aSToFcv2GorePfd9KS9BpjLSZIkSTXGUEqSGprhw6FrVzjnHOjSBcaMSY+Wa9cu78py8dpr6Wd4\n4IH0sMFXX4Uttsi7KkmSJKn+M5SSpIZi8mQ4/HDYf3/4/nt44gkYMSLNV2uAFi5M60btuWfqiHr1\n1fTAwaZN865MkiRJahgMpSSpvvviCzj3XOjcGUaOhL/+Fd5/H448skHOT4sRBg2CTp3guuvglFPS\ndL2f/zzvyiRJkqSGpUneBUiSqsmCBXDDDdC3LxQWwmmnwRVXwIYb5l1ZbsaPT/ncyy/Djjumhcx3\n3TXvqiRJkqSGyU4pSapvCgvhxhvhZz+D//s/OPRQmDgR7ryzwQZS8+enhwzusEMKpv7xD3j7bQMp\nSZIkKU+GUpJUXxQVwd13pyfqXXIJ7LQTjB6d5qp17Jh3dblYsgTuuQe23BJuvRX69IFJk+DXv4bG\njfOuTpIkSWrYnL4nSXVdjPDkk3DZZfDBB7DLLnDffdCjR96V5WrUqPSAwbfeSutFvfBCmrInSZIk\nqXawU0qS6rKRI6F7d/jlL9Oi5U8+CW+80aADqTlzUkfUzjvDtGkpn/v3vw2kJEmSpNrGUEqS6qLR\no+GAA2DffWHmzDRHbfx4OOKIBvlEPYDiYvj739NUvbvvhgsvhA8/hBNPbLA/iSRJklSrOX1PkuqS\nGTPg4ovh4YehTZv0ZL0zz4QWLfKuLFdvvZV+hnffhX32gVtugc6d865KkiRJUnnslJKkuqC4OK3U\nvfXWMHgw/PGPMHUqXHBBgw6kCgvh0kvTmlFz5sCjj8Lw4QZSkiRJUl1gp5Qk1XbvvpsWSfrPf+DA\nA9MctZ/9LO+qcjdqFPTuDRMmwOmnw403wtpr512VJEmSpIqyU0qSaqtvv4VLLoGCAvj0U3joIRgy\npMEHUosWpUax7t1hwYL0k9x1l4GUJEmSVNfYKSVJtdFzz8FZZ6Uwqk8fuOYaaN0676pyN2YMnHwy\njBuXXvv2hXXXzbsqSZIkSavDTilJqk0+/xyOOQYOPRRatYJXX4U772zwgdTixfDnP8POO8OXX8Iz\nz6QHDhpISZIkSXWXnVKSVBssWQL/+Af8/vfwww9w1VVp6l6zZnlXlrvx49PaUWPGwPHHpyfrrbde\n3lVJkiRJqiw7pSQpb+PGwW67wdlnw047wXvvwR/+0OADqaIiuPpq6NYNZsyAJ56Af/7TQEqSJEmq\nLwylJCkv330Hl16aUpcpU+D++2HYMNhii7wry92ECbDrrnDZZXDkkfD+++lVkiRJUv1hKCVJeRgx\nArbdFq69Fk46CT74AE44AULIu7JcFRfD9dfDjjvCxx/Dww+nrW3bvCuTJEmSVNUMpSSpJs2fD2ec\nAfvtB02awEsvwYAB0KZN3pXlrrgYTjwRfvtbOPjg1B11zDF5VyVJkiSpuhhKSVJNGTwYOneGu+9O\nycvYsbDXXnlXVSssWQJ9+sBDD8Ff/wqPPw4bbJB3VZIkSZKqk6GUJFW32bPhuOPg8MNTR9Rbb6Vp\ney1b5l1ZrRAjXHhhyur++Me0zFYDn8UoSZIkNQiGUpJUXWJMrT/bbJNaf/78Zxg1CgoK8q6sVrn8\ncrjllhRM/fnPeVcjSZIkqaY0ybsASaqXZsyAM8+EZ5+FnXdObUCdO+ddVa1z9dVp69MHbrzRDilJ\nkiSpIbFTSpKqUoxw112pO2rECPjb3+D11w2kynDzzXDZZemhg3fcYSAlSZIkNTQ1HkqFEDYOIbwY\nQpgQQng/hHB+Nr5eCGFYCGFy9to6Gw8hhFtCCFNCCONCCDuWulfv7PzJIYTepca7hRDGZ9fcEoL/\n1JFUAz76CPbdN7X9dOsG48enOWmNG+ddWa3Tvz9ccAEceSTccw808n+RSJIkSQ1OHv8MKAIujjFu\nA3QHzg4hbANcCoyIMXYERmTvAQ4COmZbH+AOSCEW8CdgF2Bn4E8lQVZ2zhmlrutZA99LUkNVXAx9\n+8J228Ho0dCvX+qS2nzzvCurlR56KOV2PXum/SZOJJckSZIapBoPpWKMM2OM72T73wATgY2Aw4GB\n2WkDgSOy/cOB+2LyJrBuCGFD4EBgWIxxXozxK2AY0DM7tnaM8c0YYwTuK3UvSapaL70E3bvDRRel\nLqn334czznAu2go89RSceCLstRc88QQ0b553RZIkSZLykuuEiRBCB2AH4C1ggxjjzOzQLGCDbH8j\n4LNSl03Pxsobn17GuCRVnffeg0MOgR49YNYsePBBGDwY2rfPu7Jaa+hQOPbY9PDBwYOhZcu8K5Ik\nSZKUp9xCqRBCK+Bx4IIY49elj2UdTrEGaugTQhgVQhg1e/bs6v44SfXB9Olw6qnQpQu89hpcey1M\nmgTHHWd3VDleeSWtH7XNNjBkCKy1Vt4VSZIkScpbLqFUCKEpKZB6IMb4RDb8RTb1juz1y2x8BrBx\nqcvbZ2PljbcvY/xHYoz9YowFMcaCdu3aVe5LSarfFiyA3/8eOnaEBx5Iq3R/9BH89re2/KzE22+n\nprIOHeBf/4LWrVd6iSRJkqQGII+n7wVgADAxxvi3UocGAyVP0OsNPF1q/KTsKXzdgQXZNL+hwAEh\nhNbZAucHAEOzY1+HELpnn3VSqXtJ0qr54Qe46aa0aPk118BRR8GHH8KNN0KbNnlXV+uNHQsHHgjr\nrw/DhoH5vyRJkqQSeTzzaDfgRGB8COHdbOwPwDXAIyGE04BPgGOyY88DBwNTgO+AUwBijPNCCH8B\n/pOdd2WMcV62fxZwL9ASGJJtklRxS5bAoEFw2WUwbRrsv3+aqrfDDnlXVmd88EH62Vq1Sg8j3MjV\n/SRJkqT/396dR9lZlfke/z41JSQRAiEGCEUGUCAyJJAEUGYQQSCBexEFtBHptrVh2br00g63bWyX\nt+91BlFYyCgCXmbCqIBMchUIIMEQGQyBRAJkIEAqVKUqte8f+z3WSaWCRQjnreH7Wetd5333e4bn\nHPY6p/Jj7/2qSuTlmzR16tQ0e/bsssuQ1BfcdVeelvfoozB5cg6jDjus7KpKsXw53HQTtLRAR8e6\n25o162+/6aZ8e9998P73l/1OJEmSJJUhIh5JKU3t6VwZI6UkqW967DH4+tfh9tth3Di47DI48USo\nK/VCpaWYMwd+8pO8fNabb771fRsaet5Gj86PN5CSJEmS1BNDKUm6/374r//Kl4XbfHP4/vfhtNNg\n6NCyK6upjg6YNQvOPhvuvTev3/7JT8I//zM0N68dONXX59u6Oi86KEmSJGnDGEpJGpxSgltvzWHU\nAw/kYT3f+Q78y7/AyJFlV1dTy5bBBRfAz34GL7yQB4l997tw6qmwxRZlVydJkiRpoDKUkjS4dHTA\n1VfnK+nNmQPbbZfnqX3mMzBsWNnV1dTjj3dN0WtthYMOgrPOgqOPziOhJEmSJOndZCglaXBobYVL\nL81DgObPh513zscnnACNjWVXVzMdHXDjjTmMqkzR+4d/gNNPh113Lbs6SZIkSYOJoZSkge2NN+C8\n8+BHP4LFi2H6dPjBD2DGjEG1gPny5fDzn8NPfwoLF+Ypet/7Xh4g5hQ9SZIkSWUwlJI0MC1dmuei\nnXMOrFgBhx4Kv/xlnqM2iFbmfvZZ+PGP4eKLYdUqOPjgvJC5U/QkSZIklc1QStLA8swzOXW56KKc\nwhx7LHztazBtWtmV1UxK+YKCP/pRnqrX0AAnnQRf+hLstlvZ1UmSJElSZiglqf9LCe68M4+MuuUW\naGqCE0+EM87Ia0cNEu3tcM018MMfwuzZMGoUfOMb+YKCW29ddnWSJEmStDZDKUn916pVeUre2WfD\n3Lnw3vfCmWfC5z4HY8aUXV3NrFiR14s6+2xYtAje/34499y8gPkgu6CgJEmSpH7EUEpS/7NoUV6x\n+/zz8wreU6bkK+l9/OMwZEjZ1dXM/Pl5cNiFF0JLS14u69xz4aMfHVRruEuSJEnqpwylJPUff/hD\nXrX7mmvylL1jjoEvfhH23XfQLF6eEjzwQP4Yrr8+h08nnJDXi5oypezqJEmSJKn3DKUk9W2rV+cQ\n6qyz4KGHYLPNchB1+ukwfnzZ1dXMkiVw2WVwwQUwbx6MHJmXzDr9dBg7tuzqJEmSJOntM5SS1Dc9\n+SRccQVcfDG8+GJeKOmcc+Dkk2HEiLKrq4k1a+COO/L0vBtvzAuZ7713Xj/qE58YNB+DJEmSpAHK\nUEpS37FwIVx5ZQ6jHn88z0378IdzCnP44YNmoaTnn89Z3EUX5Y9k1Kg8IurUU+EDHyi7OkmSJEna\nOAylJJVr2bI8Pe+KK+C++3LbXnvl6XrHHw9bbVVufTXS1pZHQ114YR4dBTmP+8EPYMaMQbV+uyRJ\nkqRBwlBKUu21tMBNN8Hll8Ptt0NHB+y0E3z723nV7u23L7vCmpk7NwdRv/hFzueam+Gb34RTToFx\n48quTpIkSZLePYZSkmqjvT0PAbriCrjhhhxMjR2bFy0/8USYPHlAX0FvzRqYPz8vlfXkkzmMmjMH\nnngCGhth5kz4x3+EQw+F+vqyq5UkSZKkd5+hlKR3T0cH3HsvXH01XHstLF0Km28OJ52Ug6j99htw\n60S1t8Ozz3aFT5XtqafyFL2K5mbYeWf49KfhU5+C0aNLK1mSJEmSSmEoJWnjqgRRV10F118PS5bA\n8OFw1FE5iDr8cGhqKrvKjSKlHDjdfDM88kjef/rpHExVTJgAkybBRz6SbydNyjMVN920vLolSZIk\nqS8wlJL0zlUHUdddMZ5PegAAErFJREFUl0dEVYKo44/PQdSwYWVXuVG0t+f12G+6KW/z5+f2HXbI\nV8abMaMrfNpxx/wxSJIkSZLWZSglacN0dMA99+SpedVB1NFHw8c+NqCCqOXL4bbbcgh1++3w2msw\ndCgccgiccUbO3saOLbtKSZIkSepfDKUk9V57e9caUT0FUUccAZtsUnaVG8Uzz8CsWTmI+t3v8kLl\nY8bAccflt3vooY6CkiRJkqR3wlBK0lt7+eU8TOiWW+A3v4HXXx+QQdSbb8If/pDf6qxZeWFygF13\nha9+Nb/dadMG3LrskiRJklQaQylJa+vszKt233JL3mbPzu3bbJPXhzryyLxqdz8Polpbcwh1zz1w\n9915f/VqaGyEAw+E00/P0/LGjy+5UEmSJEkaoAylJOVFku64I4dQt92WR0dFwF57wbe/nYOoyZNz\nWz/V2goPPrh2CNXWlkc+7bEHfOELOYzabz+vjCdJkiRJtWAoJQ1GKcGf/wy33pqDqPvvzwuXjxyZ\nFyivjIYaPbrsSjdYW9vaIdTvf98VQk2ZkkdCVUKozTYru1pJkiRJGnwMpaTBICWYNy8vUl7ZXnop\nn9tlF/jyl3MQtc8+0ND/vhZSggUL4KGH8vbww3lrbc2Du6ZMgdNO6wqhRo4su2JJkiRJUv/716ek\nv6+zE+bO7Qqg7rsPXnklnxs7Fg4+GA44II+GGjeu3Fo3wJIlXeFTJYhatiyfGzIkT8f7/Oe7QqjN\nNy+1XEmSJElSDwylpIGgsxPmzMkB1D335Ol4lZRmu+1y+HTAATmlmTixX60NtXIlPPro2iHUggX5\nXF0dTJoEM2fC9Ol522WXvFi5JEmSJKlvM5SS+qtFi/J6ULfemkdCrViR2ydOhBkzcgh1wAF9/vJx\nKeWRT/Pnw3PP5a2yP38+vPBCztwgv5Vp0/JUvOnT84ioESNKLV+SJEmStIEMpaT+Ys2avHL3Lbfk\n7fHHc/uECXDccXkU1P77Q3NzqWX2pKWl58Cp0tbSsvb9x4zJb+uDH4STT85B1LRp8N73llO/JEmS\nJGnjM5SS+rIVK+DXv4abb4bbbstT8urrYd994Xvfy4uT77RT6dPx2tvziKZKyNQ9gFqyZO37Dx+e\nB3RNnAiHHpoDqIkT8+348fm8JEmSJGlgM5SS+pLKVfJuuSUHUQ88kEdIjRoFRxwBRx0Fhx1W05W7\nU4LXX4fFi+HFF/PWPXRatKhrih3kC/htt10OmWbO7AqcKuHTlluWnqNJkiRJkkpmKCWV5bXXupKd\n+fPh6afhzjtzG8Buu8G//VseDbXXXnmE1EaUErz6ag6ZFi/u2qqPK/tvvrnu47feOodM++239kin\nCRPyBf4a/HaRJEmSJL0F/9kovVs6OmDhwq7QqXp77rmuq+NVbL45fOhDcMYZOYh6B2tDpQTLl+eX\nX7gwj2Sq7FeOFy2CtrZ1H/ue9+TAaeutcxZW2a9s22wD48bBJptscHmSJEmSJBlKSRskpbzeU/fE\np7K/YAE8/3yeelfR0JAXTJo4EaZO7VpUaeJE0vgJtDSOpKUFVq8utnk5NKocV+9XH7e25tFM3UOn\n7qObGhryCKbm5rxo+LHH5uPuoZNXs5MkSZIk1YKhlNTdqlV5FNOyZTnt6Sl0WrRo3UvG1dXlYUTN\nzXmI0Qkn0DFuIq9uNoHFm0zkhc5teWlJPS+9RN4ehMU38LfjVas2vOTql54yBWbMgG23zcfNzXl/\nzJiNPgNQkiRJkqQNNmBDqYg4HDgLqAcuSCn975JLUq2klIcRtbR0bStWdAVN69lScRutres+ZQRv\njtyalZs38/qmu/Lq5CNYNqyZJUObeblxW/5a18zitBUrWxtoaYGlT8BLd8DSpT2XuMUWsNVWedt7\n7679ESOgqSlvQ4Z07b/V8ZAheR1013CSJEmSJPUnA/KfsRFRD/wU+DCwCHg4ImallJ4st7IBprOz\nay5Ze/vac8t6s3V0rL21t691nNqLbXU7ne0dpNUddL7ZxprXW+h8o4X0xkpSSwuxqoW6VS3UtbbQ\n0LqShrYW6lLnW5beQT2v1W3B8hjFUkaxpHM8S9OeLGMUy9mCZYxiGaN4ia1YSDOL09Z0vNoIr679\nPMOGdW3Dh3ft77AD7Ltvng5XCZwq25gxOUiSJEmSJGkwG5ChFDAdeDalNB8gIn4FzAQGdCj1+pwF\nrPjSmdCZSJ0JUtVtgpQS9NBOStDZSbSvpq5jNXXtbfm2o436jtXUr2mjvqON+jWraVjTdduQOt7V\n9xNABw1/29ppZDVNtDC827YlKxmxTntb/XA6hg5nzdARrB66KW0jRtE2YhTtm44iNtuUTYbX9Rgo\njR8Gk7q1V5+v7A8dmqfNSZIkSZKkt2+ghlJjgYVVx4uAvUqqpWYWznuD4b+9B4BErLP11F5p66SO\n1TTRxpDidgTtbMHquiF0RBPtdUPoqCtuG5voqB9CR/0QOusa6WgYQmd9E2samuisb6KzoWtLjU10\nNjaRin2aKu2NRGMj0dgADQ3UNTWQGvJxXVMD0dhANNTT0BjU1+epafX1ebpadVA0fDiMGQ4Tqo4r\n510/SZIkSZKkvmughlK9EhGfBT4LsN1225VczTs34ehd+fMjC6iry4FMXR1vud/9uLExhz+VAMhR\nQJIkSZIk6d0yUEOpvwLNVcfbFm1rSSmdD5wPMHXq1FSb0t49w4bBHnuUXYUkSZIkSdLfN1DHwjwM\nvC8iJkREE/AJYFbJNUmSJEmSJKkwIEdKpZQ6IuJ04NdAPXBRSmluyWVJkiRJkiSpMCBDKYCU0q3A\nrWXXIUmSJEmSpHUN1Ol7kiRJkiRJ6sMMpSRJkiRJklRzhlKSJEmSJEmqOUMpSZIkSZIk1ZyhlCRJ\nkiRJkmrOUEqSJEmSJEk1ZyglSZIkSZKkmouUUtk19AkRsQR4vuw6NpItgaVlF6F+wb6i3rKvqDfs\nJ+ot+4p6y76i3rKvqLfsK7U3LqU0uqcThlIDUETMTilNLbsO9X32FfWWfUW9YT9Rb9lX1Fv2FfWW\nfUW9ZV/pW5y+J0mSJEmSpJozlJIkSZIkSVLNGUoNTOeXXYD6DfuKesu+ot6wn6i37CvqLfuKesu+\not6yr/QhriklSZIkSZKkmnOklCRJkiRJkmrOUGoAiYjDI+KpiHg2Ir5adj3qOyLiooh4JSL+VNW2\nRUTcERHPFLebl1mj+oaIaI6IuyPiyYiYGxH/WrTbX7SWiBgaEQ9FxONFX/lW0T4hIh4sfov+b0Q0\nlV2r+oaIqI+IxyLi5uLYvqJ1RMSCiHgiIv4YEbOLNn+DtI6IGBkR10TEnyNiXkTsY19RdxGxY/F9\nUtlej4gv2lf6DkOpASIi6oGfAkcAk4ATImJSuVWpD7kEOLxb21eBu1JK7wPuKo6lDuDLKaVJwN7A\nacV3if1F3bUBB6eUdgcmA4dHxN7A/wF+lFLaAXgVOLXEGtW3/Cswr+rYvqL1OSilNLnqku3+Bqkn\nZwG3p5R2AnYnf7/YV7SWlNJTxffJZGBPYBVwPfaVPsNQauCYDjybUpqfUloN/AqYWXJN6iNSSvcB\ny7s1zwQuLfYvBY6paVHqk1JKi1NKjxb7b5D/wBuL/UXdpGxlcdhYbAk4GLimaLevCICI2BY4Erig\nOA7sK+o9f4O0lojYDNgfuBAgpbQ6pbQC+4re2iHAX1JKz2Nf6TMMpQaOscDCquNFRZu0PmNSSouL\n/ZeAMWUWo74nIsYDU4AHsb+oB8V0rD8CrwB3AH8BVqSUOoq7+Fukih8DZwCdxfEo7CvqWQJ+ExGP\nRMRnizZ/g9TdBGAJcHExLfiCiBiOfUVv7RPAlcW+faWPMJSSRMqX4fRSnPqbiBgBXAt8MaX0evU5\n+4sqUkpriuHw25JH7O5UcknqgyLiKOCVlNIjZdeifmHflNIe5CUpTouI/atP+hukQgOwB3BuSmkK\n0EK36Vf2FVUr1i2cAVzd/Zx9pVyGUgPHX4HmquNtizZpfV6OiK0BittXSq5HfURENJIDqctTStcV\nzfYXrVcxZeJuYB9gZEQ0FKf8LRLAh4AZEbGAvLzAweS1YOwrWkdK6a/F7SvkdV+m42+Q1rUIWJRS\nerA4voYcUtlXtD5HAI+mlF4uju0rfYSh1MDxMPC+4ko2TeShibNKrkl92yzg5GL/ZODGEmtRH1Gs\n83IhMC+l9MOqU/YXrSUiRkfEyGJ/E+DD5DXI7gaOK+5mXxEppa+llLZNKY0n/33y25TSSdhX1E1E\nDI+I91T2gcOAP+FvkLpJKb0ELIyIHYumQ4Ansa9o/U6ga+oe2Ff6jMgj1TQQRMRHyWs21AMXpZS+\nU3JJ6iMi4krgQGBL4GXgP4AbgKuA7YDngeNTSt0XQ9cgExH7AvcDT9C19svXyetK2V/0NxGxG3lh\n0Hry/+S6KqX0nxExkTwaZgvgMeCTKaW28ipVXxIRBwJfSSkdZV9Rd0WfuL44bACuSCl9JyJG4W+Q\nuomIyeSLJzQB84FTKH6PsK+oShFyvwBMTCm9VrT5vdJHGEpJkiRJkiSp5py+J0mSJEmSpJozlJIk\nSZIkSVLNGUpJkiRJkiSp5gylJEmSJEmSVHOGUpIkSZIkSao5QylJkjSgRMSoiPhjsb0UEX8t9ldG\nxM/Krq8MEXFMREyqOv7PiDj0XXideyJi6sZ+XkmSNDA1lF2AJEnSxpRSWgZMBoiIM4GVKaXvl1lT\nRDSklDpKLOEY4GbgSYCU0jdLrEWSJAlwpJQkSRokIuLAiLi52D8zIi6NiPsj4vmI+G8R8d2IeCIi\nbo+IxuJ+e0bEvRHxSET8OiK27uF5L4mI8yJidkQ8HRFHFe2fjohZEfFb4K6I2CIiboiIORHxh4jY\nraqWyyLi9xHxTET8U9E+IiLuiohHi7pmVr3mv0fEUxHxu4i4MiK+UrT/U0Q8HBGPR8S1ETEsIj4I\nzAC+V4wY276o+bjiMYdExGPFa1wUEUOK9gUR8a2q19+ph/e+SUT8KiLmRcT1wCZV584tPpO5EfGt\nou3giLih6j4fjojrI6K+qOlPxWt96Z3915YkSf2BoZQkSRqstgcOJgc2vwTuTintCrwJHFkEUz8B\njksp7QlcBHxnPc81HpgOHAmcFxFDi/Y9iscfAHwLeCyltBvwdeAXVY/frahlH+CbEbEN0Aocm1La\nAzgI+EFk04D/DuwOHAFUT5e7LqU0LaW0OzAPODWl9P+AWcD/SClNTin9pXLnos5LgI8X770B+HzV\n8y0tXv9c4Cs9vO/PA6tSSjsD/wHsWXXuGymlqcV7O6AI4e4GdoqI0cV9TiF/rpOBsSmlXYo6Lu7h\ntSRJ0gBjKCVJkgar21JK7cATQD1we9H+BDlk2hHYBbgjIv4I/E9g2/U811Uppc6U0jPAfKAyquiO\nlNLyYn9f4DKAlNJvgVERsWlx7saU0psppaXk4GY6EMD/iog5wJ3AWGAM8KHi/q0ppTeAm6rq2KUY\n/fUEcBLwgb/zGewIPJdSero4vhTYv+r8dcXtI8Vn0t3+5ECPlNIcYE7VueMj4lHgsaKOSSmlVHwG\nn4yIkeQQ7jbyZzYxIn4SEYcDr/+duiVJ0gDgmlKSJGmwagNIKXVGRHsRmAB0kv9GCmBuSmmfXjxX\nWs9xSy9r6enxJwGjgT1TSu0RsQAY2v2B3VwCHJNSejwiPg0c2MvXX5+24nYNb+PvxoiYQB5ZNS2l\n9GpEXEJX7ReTg7RW4Opira1XI2J34CPA54Djgc+8w9olSVIf50gpSZKknj0FjI6IfQAiojEi1jfy\n6GMRURcR2wMTi8d2dz85aCIiDiRPjauMCJoZEUMjYhQ5SHoY2Ax4pQikDgLGFfd9ADi6uP8I4Kiq\n13gPsLiYenhSVfsbxbme3uP4iNihOP4UcO963mNP7gNOLN7TLuSpegCbkgO51yJiDHmaIQAppReB\nF8kjzy4uHrslUJdSurZo3+Nt1CBJkvopR0pJkiT1IKW0ulgM/OyI2Iz8d9OPgbk93P0F4CFyGPO5\nlFJrRHS/z5nARcV0vFXAyVXn5pCn7W0JfDul9GJEXA7cVEzFmw38uajr4YiYVTzmZfJ0w9eK5/l3\n4EFgSXFbCaJ+Bfw8Ir4AHFf1Hlsj4hTg6ohoIIdh5/X+U+Jc4OKImEdew+qR4nkfj4jHipoXkoO0\napcDo1NK84rjscXzVP6H6dfeRg2SJKmfiq6R6pIkSXq7iqlpN6eUrtnAx58JrEwpff9tPGZESmll\nRAwjj1b6bErp0Q15/TJExDnkRd8vLLsWSZJUHkdKSZIk9T/nR8Qk8jpNl/azQOoR8tS+L5ddiyRJ\nKpcjpSRJkiRJklRzLnQuSZIkSZKkmjOUkiRJkiRJUs0ZSkmSJEmSJKnmDKUkSZIkSZJUc4ZSkiRJ\nkiRJqjlDKUmSJEmSJNXc/weldBgnIsdtPwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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61OeilNKFwIUVTW9GxG6NU5IkSWrJnn0W9t0X1lkH7rkHuncvuyJJkiSVpb6T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\nAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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MvA20CSFcF2O8ujaLk6SGoLgYbrgBzj0XWraEAw+EDTcsDYQ22ADatMm6SkmS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\nqkdihH32SX11PvggfUaoCcXFqW/pnDn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XV9WewN407y/mijpU1b3t+8ksYD9gFXAN5krP\nsGA0PPYH7q+qB6tqNXA58LYux6QeUVW3AP87oPltwCXt/iXA24c1KPWkqvp1Vd3e7v8fzYevqZgv\nGqAaK9vDCe1WwFzgqrbdXBEASXYB3gJ8rT0O5oqGzmeQOiSZBBwMXAhQVauragXmijbtUOCBqnoI\nc6VnWDAaHlOBh/sdP9K2SRvzsqr6dbv/G+Bl3QxGvSfJbsA+wE8wXzSIdorRHcBjwI3AA8CKqlrb\nXuKzSOudCfwtsK49noy5osEV8J0ktyX5SNvmM0gD7Q4sBy5up7p+LckOmCvatPcAl7X75kqPsGAk\n9bhqvsrQrzPUHyXZEbgaOKWqnup/znzRelX1h3aI9y40I1337HJI6kFJjgIeq6rbuh2LRoTXV9W+\nNMssnJTk4P4nfQapNR7YFzivqvYBnmbAlCJzRf216+QdDVw58Jy50l0WjIbHo8C0fse7tG3Sxvw2\nycsB2p+PdTke9YgkE2iKRZdW1b+3zeaLNqqdBrAIOBDYKcn49pTPIgEcBByd5Jc0U+bn0qw9Yq7o\nWarq0fbnYzTrjOyPzyA92yPAI1X1k/b4KpoCkrmijTkSuL2qftsemys9woLR8PgZML39xpFtaYbb\nLexyTOptC4EPtPsfAK7tYizqEe26IhcCy6rqS/1OmS/qkGRKkp3a/YnAYTRrXi0CjmkvM1dEVZ1e\nVbtU1W40n09uqqr3Ya5ogCQ7JPmT9fvAm4C78RmkAarqN8DDSV7dNh0K/BxzRRs3jw3T0cBc6Rlp\nRnjphZbkzTRrBIwDLqqqM7ocknpEksuAOcBLgN8Cnwa+CVwB7Ao8BBxbVQMXxtYYk+T1wGJgKRvW\nGvkEzTpG5ov+KMlMmkUix9H8ceiKqvpsklfSjCLZGVgCHFdVz3QvUvWSJHOAj1XVUeaKBmpz4pr2\ncDzQV1VnJJmMzyANkGQWzUL62wIPAh+ifR5hrqiftgD938Arq+rJts33lR5hwUiSJEmSJEkdnJIm\nSZIkSZKkDhaMJEmSJEmS1MGCkSRJkiRJkjpYMJIkSZIkSVIHC0aSJEmSJEnqYMFIkiT1tCSTk9zR\nbr9J8mi7vzLJucPw+iu34N5P9NvfLcndWymmm5PM3hp9SZIkDWZ8twOQJEnalKr6H2AWQJLPACur\n6gtdDWroPgH8fbeDkCRJer4cYSRJkkakJHOSfKvd/0ySS5IsTvJQknck+ackS5Ncn2RCe91+Sb6f\n5LYkNyR5+SD97p7kR+29nxtw7m+S/CzJXUkW9Gv/ZtvnPUk+0rb9AzCxHQ11aXvpuCT/0l73nSQT\n22s/muTnbb+XDxLTxCSXJ1mW5BpgYr9z5yW5te1zQds2N8k3+11zWJJrkoxL8vUkd7e/319v9n+A\nJEka1SwYSZKk0eLPgbnA0cA3gEVV9Trgd8Bb2qLR2cAxVbUfcBFwxiD9nAWc19776/WNSd4ETAf2\npxnxtF+Sg9vTH277nA18NMnkqjoN+F1Vzaqq97XXTQfOqarXAiuAd7btpwH7VNVM4MRBYpoPrKqq\n1wCfBvbrd+6TVTUbmAkckmQmsAjYM8mU9poPtb/vLGBqVe3V/n4Xb/yfU5IkjWUWjCRJ0mjx7apa\nAywFxgHXt+1Lgd2AVwN7ATcmuQP4O2CXQfo5CLis3f/Xfu1varclwO3AnjQFIGiKRHcCPwam9Wsf\n6L+q6o52/7Y2LoC7gEuTHAesHeS+g2mKYFTVXe316x2b5PY2rtcCM6qq2tiPS7ITcCDwbeBB4JVJ\nzk5yBPDURuKUJEljnGsYSZKk0eIZgKpal2RNWzQBWEfzmSfAPVV14BD6qkHaAny+qi7oaEzmAG8E\nDqyqVUluBrbbVIytP7BhatlbaIpCbwU+meR1VTVY4agzoGR34GPAX1TVE0m+3u+1LwauA34PXNn2\n90SSvYHDaUYyHQt8+LleR5IkjT2OMJIkSWPFvcCUJAcCJJmQ5LWDXPefwHva/ff1a78B+HCSHdv7\npyZ5KTAJeKItFu0JHNDvnjXr10/amCTbANOqahHw8ba/HQdcdgvw3vb6vWimnwG8GHgaeDLJy4Aj\n199QVb8CfkUzkuri9t6XANtU1dVt+76bik2SJI1djjCSJEljQlWtTnIM8JUkk2g+B50J3DPg0pOB\nviQfB67td/93krwG+FESgJXAcTRT305MsoymKPXjfn19FbirnTL2yY2ENg74RhtTgK9U1YoB15wH\nXNy+xjKa6WxU1Z1JlgC/AB6mKXb1dykwpaqWtcdT237W/9Hw9I3EJEmSxrhsGK0tSZKk0STJPwNL\nqurCbsciSZJGFgtGkiRJo1CS22imqx1WVc881/WSJEn9WTCSJEmSJElSBxe9liRJkiRJUgcLRpIk\nSZIkSepgwUiSJEmSJEkdLBhJkiRJkiSpgwUjSZIkSZIkdbBgJEmSJEmSpA7/D+8YSRv4QaA7AAAA\nAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "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>Date</th>\n",
              "      <th>Day</th>\n",
              "      <th>Month</th>\n",
              "      <th>year</th>\n",
              "      <th>Cases</th>\n",
              "      <th>Deaths</th>\n",
              "      <th>Country</th>\n",
              "      <th>Period</th>\n",
              "      <th>Id</th>\n",
              "      <th>Total_Cases</th>\n",
              "      <th>Total_Deaths</th>\n",
              "      <th>StartDeaths</th>\n",
              "      <th>Impact</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3966</th>\n",
              "      <td>2020-02-23</td>\n",
              "      <td>23</td>\n",
              "      <td>2</td>\n",
              "      <td>2020</td>\n",
              "      <td>62</td>\n",
              "      <td>2</td>\n",
              "      <td>Italy</td>\n",
              "      <td>223</td>\n",
              "      <td>0</td>\n",
              "      <td>79</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2.531646</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3965</th>\n",
              "      <td>2020-02-24</td>\n",
              "      <td>24</td>\n",
              "      <td>2</td>\n",
              "      <td>2020</td>\n",
              "      <td>53</td>\n",
              "      <td>0</td>\n",
              "      <td>Italy</td>\n",
              "      <td>224</td>\n",
              "      <td>1</td>\n",
              "      <td>132</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1.515152</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3964</th>\n",
              "      <td>2020-02-25</td>\n",
              "      <td>25</td>\n",
              "      <td>2</td>\n",
              "      <td>2020</td>\n",
              "      <td>97</td>\n",
              "      <td>4</td>\n",
              "      <td>Italy</td>\n",
              "      <td>225</td>\n",
              "      <td>2</td>\n",
              "      <td>229</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>2.620087</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3963</th>\n",
              "      <td>2020-02-26</td>\n",
              "      <td>26</td>\n",
              "      <td>2</td>\n",
              "      <td>2020</td>\n",
              "      <td>93</td>\n",
              "      <td>5</td>\n",
              "      <td>Italy</td>\n",
              "      <td>226</td>\n",
              "      <td>3</td>\n",
              "      <td>322</td>\n",
              "      <td>11</td>\n",
              "      <td>1</td>\n",
              "      <td>3.416149</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3962</th>\n",
              "      <td>2020-02-27</td>\n",
              "      <td>27</td>\n",
              "      <td>2</td>\n",
              "      <td>2020</td>\n",
              "      <td>78</td>\n",
              "      <td>1</td>\n",
              "      <td>Italy</td>\n",
              "      <td>227</td>\n",
              "      <td>4</td>\n",
              "      <td>400</td>\n",
              "      <td>12</td>\n",
              "      <td>1</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3961</th>\n",
              "      <td>2020-02-28</td>\n",
              "      <td>28</td>\n",
              "      <td>2</td>\n",
              "      <td>2020</td>\n",
              "      <td>250</td>\n",
              "      <td>5</td>\n",
              "      <td>Italy</td>\n",
              "      <td>228</td>\n",
              "      <td>5</td>\n",
              "      <td>650</td>\n",
              "      <td>17</td>\n",
              "      <td>1</td>\n",
              "      <td>2.615385</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3960</th>\n",
              "      <td>2020-02-29</td>\n",
              "      <td>29</td>\n",
              "      <td>2</td>\n",
              "      <td>2020</td>\n",
              "      <td>238</td>\n",
              "      <td>4</td>\n",
              "      <td>Italy</td>\n",
              "      <td>229</td>\n",
              "      <td>6</td>\n",
              "      <td>888</td>\n",
              "      <td>21</td>\n",
              "      <td>1</td>\n",
              "      <td>2.364865</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3959</th>\n",
              "      <td>2020-03-01</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>240</td>\n",
              "      <td>8</td>\n",
              "      <td>Italy</td>\n",
              "      <td>301</td>\n",
              "      <td>7</td>\n",
              "      <td>1128</td>\n",
              "      <td>29</td>\n",
              "      <td>1</td>\n",
              "      <td>2.570922</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3958</th>\n",
              "      <td>2020-03-02</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>561</td>\n",
              "      <td>6</td>\n",
              "      <td>Italy</td>\n",
              "      <td>302</td>\n",
              "      <td>8</td>\n",
              "      <td>1689</td>\n",
              "      <td>35</td>\n",
              "      <td>1</td>\n",
              "      <td>2.072232</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3957</th>\n",
              "      <td>2020-03-03</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>146</td>\n",
              "      <td>17</td>\n",
              "      <td>Italy</td>\n",
              "      <td>303</td>\n",
              "      <td>9</td>\n",
              "      <td>1835</td>\n",
              "      <td>52</td>\n",
              "      <td>1</td>\n",
              "      <td>2.833787</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3956</th>\n",
              "      <td>2020-03-04</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>667</td>\n",
              "      <td>28</td>\n",
              "      <td>Italy</td>\n",
              "      <td>304</td>\n",
              "      <td>10</td>\n",
              "      <td>2502</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>3.197442</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3955</th>\n",
              "      <td>2020-03-05</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>587</td>\n",
              "      <td>27</td>\n",
              "      <td>Italy</td>\n",
              "      <td>305</td>\n",
              "      <td>11</td>\n",
              "      <td>3089</td>\n",
              "      <td>107</td>\n",
              "      <td>1</td>\n",
              "      <td>3.463904</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3954</th>\n",
              "      <td>2020-03-06</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>769</td>\n",
              "      <td>41</td>\n",
              "      <td>Italy</td>\n",
              "      <td>306</td>\n",
              "      <td>12</td>\n",
              "      <td>3858</td>\n",
              "      <td>148</td>\n",
              "      <td>1</td>\n",
              "      <td>3.836185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3953</th>\n",
              "      <td>2020-03-07</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>778</td>\n",
              "      <td>49</td>\n",
              "      <td>Italy</td>\n",
              "      <td>307</td>\n",
              "      <td>13</td>\n",
              "      <td>4636</td>\n",
              "      <td>197</td>\n",
              "      <td>1</td>\n",
              "      <td>4.249353</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3952</th>\n",
              "      <td>2020-03-08</td>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>1247</td>\n",
              "      <td>36</td>\n",
              "      <td>Italy</td>\n",
              "      <td>308</td>\n",
              "      <td>14</td>\n",
              "      <td>5883</td>\n",
              "      <td>233</td>\n",
              "      <td>1</td>\n",
              "      <td>3.960564</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3951</th>\n",
              "      <td>2020-03-09</td>\n",
              "      <td>9</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>1492</td>\n",
              "      <td>133</td>\n",
              "      <td>Italy</td>\n",
              "      <td>309</td>\n",
              "      <td>15</td>\n",
              "      <td>7375</td>\n",
              "      <td>366</td>\n",
              "      <td>1</td>\n",
              "      <td>4.962712</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3950</th>\n",
              "      <td>2020-03-10</td>\n",
              "      <td>10</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>1797</td>\n",
              "      <td>98</td>\n",
              "      <td>Italy</td>\n",
              "      <td>310</td>\n",
              "      <td>16</td>\n",
              "      <td>9172</td>\n",
              "      <td>464</td>\n",
              "      <td>1</td>\n",
              "      <td>5.058875</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3949</th>\n",
              "      <td>2020-03-11</td>\n",
              "      <td>11</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>977</td>\n",
              "      <td>167</td>\n",
              "      <td>Italy</td>\n",
              "      <td>311</td>\n",
              "      <td>17</td>\n",
              "      <td>10149</td>\n",
              "      <td>631</td>\n",
              "      <td>1</td>\n",
              "      <td>6.217361</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3948</th>\n",
              "      <td>2020-03-12</td>\n",
              "      <td>12</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>2313</td>\n",
              "      <td>196</td>\n",
              "      <td>Italy</td>\n",
              "      <td>312</td>\n",
              "      <td>18</td>\n",
              "      <td>12462</td>\n",
              "      <td>827</td>\n",
              "      <td>1</td>\n",
              "      <td>6.636174</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3947</th>\n",
              "      <td>2020-03-13</td>\n",
              "      <td>13</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>2651</td>\n",
              "      <td>189</td>\n",
              "      <td>Italy</td>\n",
              "      <td>313</td>\n",
              "      <td>19</td>\n",
              "      <td>15113</td>\n",
              "      <td>1016</td>\n",
              "      <td>1</td>\n",
              "      <td>6.722689</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3946</th>\n",
              "      <td>2020-03-14</td>\n",
              "      <td>14</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>2547</td>\n",
              "      <td>252</td>\n",
              "      <td>Italy</td>\n",
              "      <td>314</td>\n",
              "      <td>20</td>\n",
              "      <td>17660</td>\n",
              "      <td>1268</td>\n",
              "      <td>1</td>\n",
              "      <td>7.180068</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3945</th>\n",
              "      <td>2020-03-15</td>\n",
              "      <td>15</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>90</td>\n",
              "      <td>173</td>\n",
              "      <td>Italy</td>\n",
              "      <td>315</td>\n",
              "      <td>21</td>\n",
              "      <td>17750</td>\n",
              "      <td>1441</td>\n",
              "      <td>1</td>\n",
              "      <td>8.118310</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3944</th>\n",
              "      <td>2020-03-16</td>\n",
              "      <td>16</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>6230</td>\n",
              "      <td>370</td>\n",
              "      <td>Italy</td>\n",
              "      <td>316</td>\n",
              "      <td>22</td>\n",
              "      <td>23980</td>\n",
              "      <td>1811</td>\n",
              "      <td>1</td>\n",
              "      <td>7.552127</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3943</th>\n",
              "      <td>2020-03-17</td>\n",
              "      <td>17</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>4000</td>\n",
              "      <td>347</td>\n",
              "      <td>Italy</td>\n",
              "      <td>317</td>\n",
              "      <td>23</td>\n",
              "      <td>27980</td>\n",
              "      <td>2158</td>\n",
              "      <td>1</td>\n",
              "      <td>7.712652</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3942</th>\n",
              "      <td>2020-03-18</td>\n",
              "      <td>18</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>3526</td>\n",
              "      <td>347</td>\n",
              "      <td>Italy</td>\n",
              "      <td>318</td>\n",
              "      <td>24</td>\n",
              "      <td>31506</td>\n",
              "      <td>2505</td>\n",
              "      <td>1</td>\n",
              "      <td>7.950867</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3941</th>\n",
              "      <td>2020-03-19</td>\n",
              "      <td>19</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>4207</td>\n",
              "      <td>473</td>\n",
              "      <td>Italy</td>\n",
              "      <td>319</td>\n",
              "      <td>25</td>\n",
              "      <td>35713</td>\n",
              "      <td>2978</td>\n",
              "      <td>1</td>\n",
              "      <td>8.338700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3940</th>\n",
              "      <td>2020-03-20</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>5322</td>\n",
              "      <td>429</td>\n",
              "      <td>Italy</td>\n",
              "      <td>320</td>\n",
              "      <td>26</td>\n",
              "      <td>41035</td>\n",
              "      <td>3407</td>\n",
              "      <td>1</td>\n",
              "      <td>8.302668</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3939</th>\n",
              "      <td>2020-03-21</td>\n",
              "      <td>21</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>5986</td>\n",
              "      <td>625</td>\n",
              "      <td>Italy</td>\n",
              "      <td>321</td>\n",
              "      <td>27</td>\n",
              "      <td>47021</td>\n",
              "      <td>4032</td>\n",
              "      <td>1</td>\n",
              "      <td>8.574892</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3938</th>\n",
              "      <td>2020-03-22</td>\n",
              "      <td>22</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>6557</td>\n",
              "      <td>795</td>\n",
              "      <td>Italy</td>\n",
              "      <td>322</td>\n",
              "      <td>28</td>\n",
              "      <td>53578</td>\n",
              "      <td>4827</td>\n",
              "      <td>1</td>\n",
              "      <td>9.009295</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3937</th>\n",
              "      <td>2020-03-23</td>\n",
              "      <td>23</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>5560</td>\n",
              "      <td>649</td>\n",
              "      <td>Italy</td>\n",
              "      <td>323</td>\n",
              "      <td>29</td>\n",
              "      <td>59138</td>\n",
              "      <td>5476</td>\n",
              "      <td>1</td>\n",
              "      <td>9.259698</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3936</th>\n",
              "      <td>2020-03-24</td>\n",
              "      <td>24</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>4789</td>\n",
              "      <td>601</td>\n",
              "      <td>Italy</td>\n",
              "      <td>324</td>\n",
              "      <td>30</td>\n",
              "      <td>63927</td>\n",
              "      <td>6077</td>\n",
              "      <td>1</td>\n",
              "      <td>9.506155</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3935</th>\n",
              "      <td>2020-03-25</td>\n",
              "      <td>25</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>5249</td>\n",
              "      <td>743</td>\n",
              "      <td>Italy</td>\n",
              "      <td>325</td>\n",
              "      <td>31</td>\n",
              "      <td>69176</td>\n",
              "      <td>6820</td>\n",
              "      <td>1</td>\n",
              "      <td>9.858911</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3934</th>\n",
              "      <td>2020-03-26</td>\n",
              "      <td>26</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>5210</td>\n",
              "      <td>685</td>\n",
              "      <td>Italy</td>\n",
              "      <td>326</td>\n",
              "      <td>32</td>\n",
              "      <td>74386</td>\n",
              "      <td>7505</td>\n",
              "      <td>1</td>\n",
              "      <td>10.089264</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3933</th>\n",
              "      <td>2020-03-27</td>\n",
              "      <td>27</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>6153</td>\n",
              "      <td>660</td>\n",
              "      <td>Italy</td>\n",
              "      <td>327</td>\n",
              "      <td>33</td>\n",
              "      <td>80539</td>\n",
              "      <td>8165</td>\n",
              "      <td>1</td>\n",
              "      <td>10.137946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3932</th>\n",
              "      <td>2020-03-28</td>\n",
              "      <td>28</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>5959</td>\n",
              "      <td>971</td>\n",
              "      <td>Italy</td>\n",
              "      <td>328</td>\n",
              "      <td>34</td>\n",
              "      <td>86498</td>\n",
              "      <td>9136</td>\n",
              "      <td>1</td>\n",
              "      <td>10.562094</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3931</th>\n",
              "      <td>2020-03-29</td>\n",
              "      <td>29</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>5974</td>\n",
              "      <td>887</td>\n",
              "      <td>Italy</td>\n",
              "      <td>329</td>\n",
              "      <td>35</td>\n",
              "      <td>92472</td>\n",
              "      <td>10023</td>\n",
              "      <td>1</td>\n",
              "      <td>10.838957</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3930</th>\n",
              "      <td>2020-03-30</td>\n",
              "      <td>30</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>5217</td>\n",
              "      <td>758</td>\n",
              "      <td>Italy</td>\n",
              "      <td>330</td>\n",
              "      <td>36</td>\n",
              "      <td>97689</td>\n",
              "      <td>10781</td>\n",
              "      <td>1</td>\n",
              "      <td>11.036043</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3929</th>\n",
              "      <td>2020-03-31</td>\n",
              "      <td>31</td>\n",
              "      <td>3</td>\n",
              "      <td>2020</td>\n",
              "      <td>4050</td>\n",
              "      <td>810</td>\n",
              "      <td>Italy</td>\n",
              "      <td>331</td>\n",
              "      <td>37</td>\n",
              "      <td>101739</td>\n",
              "      <td>11591</td>\n",
              "      <td>1</td>\n",
              "      <td>11.392878</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3928</th>\n",
              "      <td>2020-04-01</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>2020</td>\n",
              "      <td>4053</td>\n",
              "      <td>839</td>\n",
              "      <td>Italy</td>\n",
              "      <td>401</td>\n",
              "      <td>38</td>\n",
              "      <td>105792</td>\n",
              "      <td>12430</td>\n",
              "      <td>1</td>\n",
              "      <td>11.749471</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           Date  Day  Month  ...  Total_Deaths  StartDeaths     Impact\n",
              "3966 2020-02-23   23      2  ...             2            1   2.531646\n",
              "3965 2020-02-24   24      2  ...             2            1   1.515152\n",
              "3964 2020-02-25   25      2  ...             6            1   2.620087\n",
              "3963 2020-02-26   26      2  ...            11            1   3.416149\n",
              "3962 2020-02-27   27      2  ...            12            1   3.000000\n",
              "3961 2020-02-28   28      2  ...            17            1   2.615385\n",
              "3960 2020-02-29   29      2  ...            21            1   2.364865\n",
              "3959 2020-03-01    1      3  ...            29            1   2.570922\n",
              "3958 2020-03-02    2      3  ...            35            1   2.072232\n",
              "3957 2020-03-03    3      3  ...            52            1   2.833787\n",
              "3956 2020-03-04    4      3  ...            80            1   3.197442\n",
              "3955 2020-03-05    5      3  ...           107            1   3.463904\n",
              "3954 2020-03-06    6      3  ...           148            1   3.836185\n",
              "3953 2020-03-07    7      3  ...           197            1   4.249353\n",
              "3952 2020-03-08    8      3  ...           233            1   3.960564\n",
              "3951 2020-03-09    9      3  ...           366            1   4.962712\n",
              "3950 2020-03-10   10      3  ...           464            1   5.058875\n",
              "3949 2020-03-11   11      3  ...           631            1   6.217361\n",
              "3948 2020-03-12   12      3  ...           827            1   6.636174\n",
              "3947 2020-03-13   13      3  ...          1016            1   6.722689\n",
              "3946 2020-03-14   14      3  ...          1268            1   7.180068\n",
              "3945 2020-03-15   15      3  ...          1441            1   8.118310\n",
              "3944 2020-03-16   16      3  ...          1811            1   7.552127\n",
              "3943 2020-03-17   17      3  ...          2158            1   7.712652\n",
              "3942 2020-03-18   18      3  ...          2505            1   7.950867\n",
              "3941 2020-03-19   19      3  ...          2978            1   8.338700\n",
              "3940 2020-03-20   20      3  ...          3407            1   8.302668\n",
              "3939 2020-03-21   21      3  ...          4032            1   8.574892\n",
              "3938 2020-03-22   22      3  ...          4827            1   9.009295\n",
              "3937 2020-03-23   23      3  ...          5476            1   9.259698\n",
              "3936 2020-03-24   24      3  ...          6077            1   9.506155\n",
              "3935 2020-03-25   25      3  ...          6820            1   9.858911\n",
              "3934 2020-03-26   26      3  ...          7505            1  10.089264\n",
              "3933 2020-03-27   27      3  ...          8165            1  10.137946\n",
              "3932 2020-03-28   28      3  ...          9136            1  10.562094\n",
              "3931 2020-03-29   29      3  ...         10023            1  10.838957\n",
              "3930 2020-03-30   30      3  ...         10781            1  11.036043\n",
              "3929 2020-03-31   31      3  ...         11591            1  11.392878\n",
              "3928 2020-04-01    1      4  ...         12430            1  11.749471\n",
              "\n",
              "[39 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AIo7aJ2h1iS3",
        "colab_type": "text"
      },
      "source": [
        "## Evolution of the Virus\n",
        "Next days virus propagation"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AccSflUd1hmr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Building"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L7OC4k6fbzoT",
        "colab_type": "text"
      },
      "source": [
        "# Test for build interactive Dashboard\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vs8vuXqTbylg",
        "colab_type": "code",
        "outputId": "4bb0ccc6-2bde-4dad-8899-e310aa069199",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "from IPython.display import display\n",
        "from IPython.html.widgets import *\n",
        "from ipywidgets import widgets\n",
        "\n",
        "text = widgets.Text()\n",
        "display(text)\n",
        "\n",
        "def handle_submit(sender):\n",
        "  print(text.value)\n",
        "\n",
        "text.on_submit(handle_submit)\n",
        "\n",
        "def f(x):\n",
        "  print(x)\n",
        "\n",
        "interact(f,x=10)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "10\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<function __main__.f>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    }
  ]
}