Foodborne_Disease_Outbreaks.ipynb

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      "source": [
        "<a href=\"https://colab.research.google.com/github/osmanmerdan/Infectious-Disease-Data-Analysis-Projects/blob/main/Foodborne_Disease_Outbreaks.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U40_sxzSb7as"
      },
      "source": [
        "# Analysis of Foodborne Disease Outbreaks, 1998-2015 (CDC Data)\n",
        "\n",
        "- According to WHO, unsafe food causes 600 million cases of foodborne diseases and 420 000 deaths each year worldwide. Fifty-six million people die every year because of foodborne illnesses. (1)   \n",
        "- Foodborne outbreaks have become more serious due to globalization and active food trade. For example, in 2011  Escherichia coli O104:H4 outbreak in Germany was spread to other countries, initially causing 53 deaths worldwide. (2) Bacteria and viruses are major causes of foodborne related illnesses. Globally, the number of foodborne illnesses caused by bacteria is 226.526.634. Viruses  and parasites cause 138,513,782 and 10,284,561 cases, respectively. (3)  Parasites and toxins can also cause foodborne diseases.\n",
        "- This project is based on the data on foodborne disease outbreaks reported to CDC from 1998 through 2015.\n",
        "- Columns include year, state (outbreaks occurring in more than one state are listed as \"multistate\"), location where the food was prepared, reported food vehicle and contaminated ingredient, etiology (the pathogen, toxin, or chemical that caused the illnesses), status (whether the etiology was confirmed or suspected), total illnesses, hospitalizations, and fatalities.\n",
        "- Not identified etiology (species), or ingredients were left blank.\n",
        "- Data used in presented project can be accessed through Kaggle (https://www.kaggle.com/datasets/cdc/foodborne-diseases).\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UM5c214Zb7at"
      },
      "source": [
        "## Data Preperation\n",
        "***\n",
        "\n",
        "- Downloading and preperation of the data."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "yDij_N7Ab7at"
      },
      "outputs": [],
      "source": [
        "!pip install jovian opendatasets --upgrade --quiet"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gUxDOimGb7au"
      },
      "source": [
        "- Let's begin by downloading the data, and listing the files within the dataset."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "OX1L8d7Hb7au"
      },
      "outputs": [],
      "source": [
        "dataset_url = 'https://www.kaggle.com/datasets/cdc/foodborne-diseases' "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AQLmXV69b7au",
        "outputId": "dac7fd76-10af-4325-d581-a7e5214876cd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Skipping, found downloaded files in \"./foodborne-diseases\" (use force=True to force download)\n"
          ]
        }
      ],
      "source": [
        "import opendatasets as od\n",
        "od.download(dataset_url)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PXUWnS4Ob7au"
      },
      "source": [
        "The dataset has been downloaded and extracted."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PD2rg61hb7av"
      },
      "outputs": [],
      "source": [
        "data_dir = './foodborne-diseases'"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "MuG4vJ7tb7av",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9f1660f2-4e08-4906-e9a6-762e8ee42066"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['outbreaks.csv']"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "import os\n",
        "os.listdir(data_dir)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ikfr8hOnb7av"
      },
      "source": [
        "## Data Preparation and Cleaning\n",
        "\n",
        "- Downloading data\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "OKtJrEU6b7aw"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data =pd.read_csv(\"./foodborne-diseases/outbreaks.csv\",\n",
        "                  na_values=[''])\n",
        "# Convert year column to date time year format\n",
        "data['Year']=pd.to_datetime(data['Year'],\n",
        "                            format='%Y').dt.year\n",
        "# Convert month column to date time month format                         \n",
        "data['Month']=pd.to_datetime(data['Month'],\n",
        "                            format='%B').dt.month_name().str[:3]"
      ],
      "metadata": {
        "id": "0mTASA6EPVo8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Finding confirmed cases.\n",
        "- From now on every analysis will be performed on confirmed cases."
      ],
      "metadata": {
        "id": "chtobbhjcdCE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Confirmed_cases=data[data.Status=='Confirmed']"
      ],
      "metadata": {
        "id": "Vl7dm_OOWWdK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Ingredient column indicates the source. If there is no ingredient identified theese values are left blank in the dataset. Replacing those blank values with 'Not identified'\n",
        "-Similarly filling Location, Food and Serotype/Genotype columns. "
      ],
      "metadata": {
        "id": "LheuHBVeWXYB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "values = {\n",
        "    'Location': 'Not identified',\n",
        "    'Food': 'Not identified',\n",
        "    'Ingredient': 'Not identified',\n",
        "    'Serotype/Genotype': 'Not identified'}\n",
        "Confirmed_cases=Confirmed_cases.fillna(value=values)\n"
      ],
      "metadata": {
        "id": "IxaaUAoAYDGr"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Because this is an medical data it is hard to infer hospitalizations and fatalities. \n",
        "- Removing null hospitalization and fatalities from the data frame. "
      ],
      "metadata": {
        "id": "dpX2a1v1crZT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Confirmed_cases.dropna(axis=0, inplace=True, how='any')\n",
        "# Fixing Hospitalizations and Fatalities columns data type. \n",
        "Confirmed_cases=Confirmed_cases.astype({'Hospitalizations':'int64',\n",
        "                                        'Fatalities':'int64'})"
      ],
      "metadata": {
        "id": "ndF4_haOdL_h"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Confirmed_cases.info()"
      ],
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        "outputId": "ceefa768-7a2c-4519-bbcd-911edfc3e04d"
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      "outputs": [
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          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 6819 entries, 3 to 19117\n",
            "Data columns (total 12 columns):\n",
            " #   Column             Non-Null Count  Dtype \n",
            "---  ------             --------------  ----- \n",
            " 0   Year               6819 non-null   int64 \n",
            " 1   Month              6819 non-null   object\n",
            " 2   State              6819 non-null   object\n",
            " 3   Location           6819 non-null   object\n",
            " 4   Food               6819 non-null   object\n",
            " 5   Ingredient         6819 non-null   object\n",
            " 6   Species            6819 non-null   object\n",
            " 7   Serotype/Genotype  6819 non-null   object\n",
            " 8   Status             6819 non-null   object\n",
            " 9   Illnesses          6819 non-null   int64 \n",
            " 10  Hospitalizations   6819 non-null   int64 \n",
            " 11  Fatalities         6819 non-null   int64 \n",
            "dtypes: int64(4), object(8)\n",
            "memory usage: 692.6+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Confirmed_cases.describe()"
      ],
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          "height": 300
        },
        "id": "m1cRuSk3gdLA",
        "outputId": "f6b5ac07-f9a0-468a-9979-b0c3b248defe"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
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            "text/plain": [
              "              Year    Illnesses  Hospitalizations   Fatalities\n",
              "count  6819.000000  6819.000000       6819.000000  6819.000000\n",
              "mean   2007.113066    26.495527          1.695850     0.041062\n",
              "std       4.957902    60.912869          7.471813     0.559788\n",
              "min    1998.000000     2.000000          0.000000     0.000000\n",
              "25%    2003.000000     5.000000          0.000000     0.000000\n",
              "50%    2007.000000    12.000000          0.000000     0.000000\n",
              "75%    2011.000000    26.000000          1.000000     0.000000\n",
              "max    2015.000000  1644.000000        308.000000    33.000000"
            ],
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              "      <td>6819.000000</td>\n",
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              "      <th>mean</th>\n",
              "      <td>2007.113066</td>\n",
              "      <td>26.495527</td>\n",
              "      <td>1.695850</td>\n",
              "      <td>0.041062</td>\n",
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              "      <th>std</th>\n",
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              "      <td>1998.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>2003.000000</td>\n",
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              "      <th>75%</th>\n",
              "      <td>2011.000000</td>\n",
              "      <td>26.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2015.000000</td>\n",
              "      <td>1644.000000</td>\n",
              "      <td>308.000000</td>\n",
              "      <td>33.000000</td>\n",
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          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Adding state two letter codes to the data frame for later use."
      ],
      "metadata": {
        "id": "_lPSOTArg9hX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Downloading the state names two letter codes for later use and processing it\n",
        "od.download('https://www.kaggle.com/datasets/francescopettini/us-state-names-codes-and-abbreviations')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wWKYSY9DskWo",
        "outputId": "d0f69778-647d-4ddc-d54b-c9a3e4697615"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Please provide your Kaggle credentials to download this dataset. Learn more: http://bit.ly/kaggle-creds\n",
            "Your Kaggle username: osmanmerdan\n",
            "Your Kaggle Key: ··········\n",
            "Downloading us-state-names-codes-and-abbreviations.zip to ./us-state-names-codes-and-abbreviations\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 830/830 [00:00<00:00, 334kB/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n"
          ]
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          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Prepare state codes to merge state cases data\n",
        "state_codes=pd.read_csv('./us-state-names-codes-and-abbreviations/state_names.csv')\n",
        "state_codes = state_codes[['State','Alpha code']]\n",
        "# Changing column name to more pleasing ones.\n",
        "state_codes.columns=['State','State code']\n",
        "# Merge state codes with state cases data frame. \n",
        "# Use right for how argument,\n",
        "# Because some state names has no state alpha code like, Multistate.\n",
        "Confirmed_cases=state_codes.merge(right=Confirmed_cases, on='State', how='right')"
      ],
      "metadata": {
        "id": "N45vGaEutLfE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Confirmed_cases.head(10)"
      ],
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      "execution_count": null,
      "outputs": [
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        State State code  Year Month                Location  \\\n",
              "0  California         CA  1998   Jan              Restaurant   \n",
              "1  California         CA  1998   Jan  Private Home/Residence   \n",
              "2  California         CA  1998   Jan              Restaurant   \n",
              "3  California         CA  1998   Jan              Restaurant   \n",
              "4     Florida         FL  1998   Jan              Restaurant   \n",
              "5        Guam        NaN  1998   Jan              Restaurant   \n",
              "6      Hawaii         HI  1998   Jan  Private Home/Residence   \n",
              "7      Hawaii         HI  1998   Jan  Private Home/Residence   \n",
              "8      Hawaii         HI  1998   Jan              Restaurant   \n",
              "9     Indiana         IN  1998   Jan              Restaurant   \n",
              "\n",
              "                                      Food      Ingredient  \\\n",
              "0                                Fish, Ahi  Not identified   \n",
              "1        Lasagna, Unspecified; Eggs, Other  Not identified   \n",
              "2                           Not identified  Not identified   \n",
              "3  Stuffing, Unspecified; Sandwich, Turkey  Not identified   \n",
              "4                        Sandwich, Chicken  Not identified   \n",
              "5                     Chicken, Unspecified  Not identified   \n",
              "6               Fish, Grouper, Unspecified  Not identified   \n",
              "7                          Fish, Mahi Mahi  Not identified   \n",
              "8                                Fish, Ahi  Not identified   \n",
              "9                           Not identified  Not identified   \n",
              "\n",
              "                   Species Serotype/Genotype     Status  Illnesses  \\\n",
              "0          Scombroid toxin    Not identified  Confirmed          4   \n",
              "1      Salmonella enterica       Enteritidis  Confirmed         26   \n",
              "2          Shigella boydii    Not identified  Confirmed         25   \n",
              "3      Salmonella enterica       Enteritidis  Confirmed          4   \n",
              "4    Campylobacter unknown    Not identified  Confirmed          3   \n",
              "5  Vibrio parahaemolyticus    Not identified  Confirmed         47   \n",
              "6               Ciguatoxin    Not identified  Confirmed          3   \n",
              "7          Scombroid toxin    Not identified  Confirmed          2   \n",
              "8          Scombroid toxin    Not identified  Confirmed          2   \n",
              "9        Shigella flexneri        Serotype 6  Confirmed         25   \n",
              "\n",
              "   Hospitalizations  Fatalities  \n",
              "0                 0           0  \n",
              "1                 3           0  \n",
              "2                 3           0  \n",
              "3                 3           0  \n",
              "4                 1           0  \n",
              "5                 0           0  \n",
              "6                 0           0  \n",
              "7                 0           0  \n",
              "8                 0           0  \n",
              "9                 3           0  "
            ],
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              "      <th></th>\n",
              "      <th>State</th>\n",
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              "      <th>0</th>\n",
              "      <td>California</td>\n",
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              "      <td>1998</td>\n",
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              "      <td>California</td>\n",
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              "      <td>1</td>\n",
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              "      <th>5</th>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <th>6</th>\n",
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              "      <td>Jan</td>\n",
              "      <td>Private Home/Residence</td>\n",
              "      <td>Fish, Mahi Mahi</td>\n",
              "      <td>Not identified</td>\n",
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              "      <td>Not identified</td>\n",
              "      <td>Confirmed</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Hawaii</td>\n",
              "      <td>HI</td>\n",
              "      <td>1998</td>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hu5x-Idvb7aw"
      },
      "source": [
        "## Exploratory Analysis and Visualization\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eUlkmZdcb7aw"
      },
      "source": [
        "- Let's begin by importing`matplotlib.pyplot` and `seaborn`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ZedkrrnQb7aw"
      },
      "outputs": [],
      "source": [
        "import seaborn as sns\n",
        "import matplotlib\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "\n",
        "sns.set_style('white')\n",
        "matplotlib.rcParams['font.size'] = 14\n",
        "matplotlib.rcParams['figure.figsize'] = (9, 5)\n",
        "matplotlib.rcParams['figure.facecolor'] = '#00000000'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N04imUHib7aw"
      },
      "source": [
        "- Total confirmed cases and number of outbreaks by year."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ibxiNrKsb7aw",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "outputId": "1047f044-a700-4436-d8af-dc4dbedc19c9"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1008x432 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# Group Confirmed cases by year.\n",
        "# Subset relevant columns. And calcualte sums. \n",
        "Annual_cases=Confirmed_cases.groupby('Year')[\n",
        "    ['Illnesses', 'Hospitalizations', 'Fatalities']\n",
        "    ].sum()\n",
        "# Reset index to convert index to actual column.\n",
        "Annual_cases=Annual_cases.reset_index()\n",
        "Annual_cases.columns=['Year',\n",
        "                        'Total Number of Cases',\n",
        "                        'Total Number of Hospitalizations',\n",
        "                        'Total Number of Fatalities']\n",
        "\n",
        "# Prepare data for number of outbreaks.\n",
        "# Subset Confirmed cases by year.\n",
        "# Sort index\n",
        "# And reset index and turn index to column\n",
        "Num_of_outbreaks=Confirmed_cases.value_counts(\n",
        "    subset='Year'\n",
        "    ).to_frame(\n",
        "        name='Number of Outbreaks'\n",
        "        ).sort_index().reset_index()\n",
        "\n",
        "\n",
        "# Initialize the matplotlib figure\n",
        "fig, ax = plt.subplots(1,1,figsize=(14, 6))\n",
        "\n",
        "# Set title\n",
        "ax.set_title('Foodborne Disease Outbreaks and Number of Cases By Year')\n",
        "\n",
        "# Sex x axis values rotation\n",
        "ax.tick_params(axis='x', rotation=45)\n",
        "\n",
        "# Set style\n",
        "sns.set_style('white')\n",
        "\n",
        "# Create barplot\n",
        "# Set label to 'Total Number of Cases'\n",
        "# Label will be printed in legend\n",
        "sns.barplot(data=Annual_cases,\n",
        "            x='Year',\n",
        "            y='Total Number of Cases',\n",
        "            saturation=0.75,\n",
        "            color='mediumseagreen',\n",
        "            alpha=0.70,\n",
        "            ax=ax,\n",
        "            label='Total Number of Cases')\n",
        "\n",
        "# Use twinx method to initialize second y axis.\n",
        "ax2=ax.twinx()\n",
        "\n",
        "# Create pointplot \n",
        "# Set ax argument to ax2\n",
        "sns.pointplot(data=Num_of_outbreaks,\n",
        "            x='Year',\n",
        "            y='Number of Outbreaks',\n",
        "            color='darkgreen',\n",
        "            ax=ax2)\n",
        "\n",
        "# Set barplot legend.\n",
        "# Label will passed as legend \n",
        "ax.legend(loc='upper left')\n",
        "\n",
        "# Set point plot legend\n",
        "# Enter Number of Outbreaks to be printed on ax2\n",
        "ax2.legend(['Number of Outbreaks'],loc=\"upper right\");"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Descriptive statistics about number of outbreaks.\n",
        "Num_of_outbreaks.describe().iloc[:,1:]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "BEpYHrysp-9T",
        "outputId": "23d49d2b-99be-4dce-ad28-bbbef74c9e7b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Number of Outbreaks\n",
              "count            18.000000\n",
              "mean            378.833333\n",
              "std              76.741162\n",
              "min             241.000000\n",
              "25%             331.000000\n",
              "50%             384.500000\n",
              "75%             430.500000\n",
              "max             538.000000"
            ],
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              "\n",
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              "    <div class=\"colab-df-container\">\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Number of Outbreaks</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>18.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>378.833333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>76.741162</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>241.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>331.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>384.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>430.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>538.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-b21f4ad3-d1a7-4c20-929c-0ed6117d64a2 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-b21f4ad3-d1a7-4c20-929c-0ed6117d64a2');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          element.appendChild(docLink);\n",
              "        }\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculating confidence intervals for number of outbreaks.\n",
        "# t value for df=17 is 2.11\n",
        "import math\n",
        "Mean=378.8\n",
        "Std=76.7\n",
        "t=2.11\n",
        "n=18\n",
        "MOE=round(Std*t/math.sqrt(n))\n",
        "print('Confidence interval is {} and {}'.format(Mean-MOE,Mean+MOE))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "F1yvgo7VOMsu",
        "outputId": "650347cb-68e4-42cb-e3ff-d58c56533efa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Confidence interval is 340.8 and 416.8\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*As expected, the total number of cases peaked in 2006 because the highest number of outbreaks happened in 2006 also (538).  \n",
        "Mean number of outbreaks is 379 for any given year with standard deviation of 77.  \n",
        "95% Confidence interval is 340.8 and 416.8*"
      ],
      "metadata": {
        "id": "ByTvlOO1EDiT"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Case distribution over months"
      ],
      "metadata": {
        "id": "tIq1BC1753S-"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5h6vpeMgb7aw",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 432
        },
        "outputId": "e44b81a6-5030-4530-f2f6-60ca59ce4724"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1008x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "Month_case=Confirmed_cases.groupby(\n",
        "    by=['Year','Month']\n",
        "    )['Illnesses'].sum().reset_index()\n",
        "Month_case=Month_case.sort_values(by='Month',\n",
        "                                  key=lambda x: pd.to_datetime(x,\n",
        "                                                               format=\"%b\"))\n",
        "# Initialize the matplotlib figure\n",
        "sns.set_style('whitegrid')\n",
        "plt.figure(figsize=(14,6))\n",
        "# Set title\n",
        "plt.title('Food-borne Disease Outbreaks Case Distrubitions Over Months')\n",
        "# Sex x axis values rotation\n",
        "plt.xticks(rotation=45)\n",
        "# Create bar plot \n",
        "sns.pointplot(data=Month_case,\n",
        "            x='Month',\n",
        "            y='Illnesses',\n",
        "            join=True,\n",
        "            color='slategray',\n",
        "            errorbar='ci')\n",
        "plt.ylabel('Mean Number of Illnesses');"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*As indicated by this graph, there is an increase of the number of cases related to foodborne disease outbreaks in April, May and June. What about outbreaks over months?*"
      ],
      "metadata": {
        "id": "gj2m2a9ix1Zm"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Number of outbreaks and months. "
      ],
      "metadata": {
        "id": "ojXExF5pyZ63"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Month_outbreaks=Confirmed_cases.groupby('Year')['Month'].value_counts()\n",
        "Month_outbreaks=Month_outbreaks.to_frame(\n",
        "    name='Number of Outbreaks'\n",
        "    ).reset_index()\n",
        "\n",
        "Month_outbreaks=Month_outbreaks.sort_values(\n",
        "    by='Month',\n",
        "    key=lambda x: pd.to_datetime(x,\n",
        "                                 format=\"%b\"))\n",
        "\n",
        "# Initialize the matplotlib figure\n",
        "sns.set_style('white')\n",
        "plt.figure(figsize=(14,6))\n",
        "# Set title\n",
        "plt.title('Number of Outbreaks in Months')\n",
        "# Sex x axis values rotation\n",
        "plt.xticks(rotation=45)\n",
        "# Create bar plot \n",
        "sns.boxplot(data=Month_outbreaks,\n",
        "            x='Month',\n",
        "            y='Number of Outbreaks',\n",
        "            saturation=0.75,\n",
        "            palette='Set3',\n",
        "            showfliers = True)\n",
        "sns.stripplot(x='Month',\n",
        "              y='Number of Outbreaks', \n",
        "              data=Month_outbreaks,\n",
        "              size=4,\n",
        "              color=\".3\",\n",
        "              linewidth=0)\n",
        "plt.ylabel('Number of Outbreaks');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 432
        },
        "id": "NtVa-4v6yt4L",
        "outputId": "38b4ef44-643e-4379-c4dc-caeb53956beb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1008x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*As expected, April, May, and June have a higher mean number of outbreaks. However, statistical analysis is needed to confirm this visual interpretation.*"
      ],
      "metadata": {
        "id": "UdCoBu5oFLYK"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N9mWZC9Qb7aw"
      },
      "source": [
        "- Investigation of mean number of cases and mean number of hospitalized cases for different states related to food-borne disease outbreaks."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "eMSbwNxlb7aw",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "811138ab-4693-448f-b39e-12abc2a5a357"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x1368 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Prepeare data\n",
        "State_cases=Confirmed_cases.groupby('State')[\n",
        "    ['Illnesses','State code', 'Hospitalizations', 'Fatalities']\n",
        "    ].sum().sort_values(\n",
        "                    by=['Illnesses'],\n",
        "                    ascending=False\n",
        "        ).reset_index()\n",
        "\n",
        "# Add mean columns\n",
        "State_cases['Mean Cases (Year)']= State_cases['Illnesses']/18\n",
        "State_cases['Mean Hospitalizations (Year)']= State_cases['Hospitalizations']/18\n",
        "\n",
        "# Initialize the matplotlib figure\n",
        "plt.figure(figsize=(8,19))\n",
        "\n",
        "# Plot the total cases\n",
        "sns.set_color_codes('pastel')\n",
        "sns.barplot(x='Mean Cases (Year)', \n",
        "            y='State',\n",
        "            data=State_cases,\n",
        "            label='Mean Number of Total Cases Per Year', \n",
        "            color='b'\n",
        "            )\n",
        "\n",
        "# Plot the total number of hospitalized cases\n",
        "sns.set_color_codes('muted')\n",
        "sns.barplot(x='Mean Hospitalizations (Year)',\n",
        "            y='State',\n",
        "            data=State_cases,\n",
        "            label='Mean Number of Hospitalized Cases Per Year',\n",
        "            color='red',\n",
        "            saturation=0.50\n",
        "            )\n",
        "\n",
        "# Add a legend and informative axis label\n",
        "plt.legend(ncol=1, loc='best', frameon=True)\n",
        "plt.title('Number of Cases and Hospitalizations')\n",
        "sns.despine(left=True, bottom=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*Multistate outbreaks caused more cases and hospitalizations.  \n",
        "California has the most cases per year, according to our data. Population sizes can affect these kinds of inferences.*"
      ],
      "metadata": {
        "id": "arPwT5wZJrN9"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o3Jl7Jqub7ax"
      },
      "source": [
        "- Mean number of cases related to food borne outbreaks  for each state in US map."
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Install plotly express and import\n",
        "!pip install plotly-express\n",
        "import plotly.express as px"
      ],
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      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting plotly-express\n",
            "  Downloading plotly_express-0.4.1-py2.py3-none-any.whl (2.9 kB)\n",
            "Requirement already satisfied: patsy>=0.5 in /usr/local/lib/python3.7/dist-packages (from plotly-express) (0.5.3)\n",
            "Requirement already satisfied: pandas>=0.20.0 in /usr/local/lib/python3.7/dist-packages (from plotly-express) (1.3.5)\n",
            "Requirement already satisfied: numpy>=1.11 in /usr/local/lib/python3.7/dist-packages (from plotly-express) (1.21.6)\n",
            "Requirement already satisfied: scipy>=0.18 in /usr/local/lib/python3.7/dist-packages (from plotly-express) (1.7.3)\n",
            "Requirement already satisfied: statsmodels>=0.9.0 in /usr/local/lib/python3.7/dist-packages (from plotly-express) (0.12.2)\n",
            "Requirement already satisfied: plotly>=4.1.0 in /usr/local/lib/python3.7/dist-packages (from plotly-express) (5.5.0)\n",
            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.20.0->plotly-express) (2022.4)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.20.0->plotly-express) (2.8.2)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from patsy>=0.5->plotly-express) (1.15.0)\n",
            "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.7/dist-packages (from plotly>=4.1.0->plotly-express) (8.1.0)\n",
            "Installing collected packages: plotly-express\n",
            "Successfully installed plotly-express-0.4.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create choropleth interactive graph.\n",
        "px.choropleth(state_codes\n",
        "              .merge(right=State_cases,\n",
        "                     on='State',\n",
        "                     how='right'),\n",
        "                    locations='State code', \n",
        "                    locationmode=\"USA-states\", \n",
        "                    scope=\"usa\",\n",
        "                    color='Mean Cases (Year)',\n",
        "                    color_continuous_scale='Jet')"
      ],
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      "execution_count": null,
      "outputs": [
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        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cSFz-ceRb7ax"
      },
      "source": [
        "- Top 30 pathogenes/toxins that coused food borne disease outbreaks. \n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create data \n",
        "Top_30=Confirmed_cases['Species'].value_counts().reset_index()\n",
        "Top_30.columns=['Pathogenes/Toxins','Number of Outbreaks']\n",
        "# Plot the data\n",
        "plt.figure(figsize=(10,14))\n",
        "plt.xticks(rotation=90)\n",
        "sns.barplot(x='Pathogenes/Toxins',\n",
        "            y='Number of Outbreaks',\n",
        "            data=Top_30.head(30),\n",
        "            label='Mean Number of Hospitalized Cases Per Year',\n",
        "            palette='Reds_r',\n",
        "            saturation=0.50\n",
        "            )\n",
        "plt.title('Most Common Pathogenes/Toxins Causing Foodborne Disesase Outbreaks')\n",
        "sns.despine(left=True, bottom=True)"
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      "metadata": {
        "colab": {
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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*Salmonella enterica and Norovirus (genogroup 1 and 2 combined ) were responsible for the majority of confirmed outbreaks in USA between '98-2015.*  \n",
        "*Worldwide,  Campylobacter caused the highest number of annual foodborne disease cases, followed by Salmonella among bacteria as declared by WHO, 2015 data(3).In Europe leading cause of foodborne disease is a virus - Norovirus- similar to USA.(4)*\n",
        "*According to Europian Food Safety Authority large portion of foodborne outbreaks are caused by bacteria such as Campylobacter, Salmonella, Yersinia, Shigatoxin-producing Escherichia coli, or Listeria monocytogenes.(5)*\n"
      ],
      "metadata": {
        "id": "T3Ffo-HFf9Lh"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Norovirus outbreak cases disributions. "
      ],
      "metadata": {
        "id": "31aUByM7hCGL"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PXg9xhHBb7ax",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 525
        },
        "outputId": "23ef8081-d5f1-4342-8657-2b9edfe79fb4"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Create relevant data\n",
        "Norovirus_outbreaks=Confirmed_cases[\n",
        "    Confirmed_cases['Species'].str.startswith('Norovirus')\n",
        "    ]\n",
        "\n",
        "# Set figure aspects\n",
        "plt.figure(figsize=(20,8))\n",
        "\n",
        "# Create plot\n",
        "sns.histplot(data=Norovirus_outbreaks,\n",
        "             x='Illnesses',\n",
        "             hue='Species',\n",
        "             bins=100,\n",
        "             multiple=\"stack\",\n",
        "            )\n",
        "plt.xlabel('Number of Cases')\n",
        "plt.xticks(np.arange(0,1300,100))\n",
        "plt.title('Case Distributions over Norovirus species');"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*In US Norovirus causes the highest number of foodborne illnesses in general.  \n",
        "Data shows majority of Norovirus outbreaks have 1-100 cases. Norovirus genogroup 1 responsible for most cases.*"
      ],
      "metadata": {
        "id": "LnHsi0T5Ilfr"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Top 5 Norovirus outbreaks which have most number of cases."
      ],
      "metadata": {
        "id": "-QSXZKqrJfSn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Norovirus_outbreaks.sort_values(by='Illnesses',\n",
        "                                ascending=False).head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 354
        },
        "id": "HG7-CggMJeRz",
        "outputId": "66e1910d-f7eb-4568-e065-4ef8ee7f3e96"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          State State code  Year Month        Location            Food  \\\n",
              "2717   Colorado         CO  2006   Apr  Not identified  Not identified   \n",
              "801   Tennessee         TN  2001   Jan      Restaurant  Not identified   \n",
              "3075   New York         NY  2006   Nov      Restaurant  Not identified   \n",
              "3411   Illinois         IL  2007   Jul  Not identified  Not identified   \n",
              "3743       Ohio         OH  2008   Apr      Restaurant  Not identified   \n",
              "\n",
              "          Ingredient                 Species Serotype/Genotype     Status  \\\n",
              "2717  Not identified   Norovirus genogroup I    Not identified  Confirmed   \n",
              "801   Not identified  Norovirus genogroup II           Unknown  Confirmed   \n",
              "3075  Not identified       Norovirus unknown    Not identified  Confirmed   \n",
              "3411  Not identified   Norovirus genogroup I           Unknown  Confirmed   \n",
              "3743  Not identified  Norovirus genogroup II           Unknown  Confirmed   \n",
              "\n",
              "      Illnesses  Hospitalizations  Fatalities  \n",
              "2717       1200                 1           0  \n",
              "801         811                 0           0  \n",
              "3075        766                27           0  \n",
              "3411        526                 0           0  \n",
              "3743        509                 0           0  "
            ],
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              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>State</th>\n",
              "      <th>State code</th>\n",
              "      <th>Year</th>\n",
              "      <th>Month</th>\n",
              "      <th>Location</th>\n",
              "      <th>Food</th>\n",
              "      <th>Ingredient</th>\n",
              "      <th>Species</th>\n",
              "      <th>Serotype/Genotype</th>\n",
              "      <th>Status</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2717</th>\n",
              "      <td>Colorado</td>\n",
              "      <td>CO</td>\n",
              "      <td>2006</td>\n",
              "      <td>Apr</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Norovirus genogroup I</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Confirmed</td>\n",
              "      <td>1200</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>801</th>\n",
              "      <td>Tennessee</td>\n",
              "      <td>TN</td>\n",
              "      <td>2001</td>\n",
              "      <td>Jan</td>\n",
              "      <td>Restaurant</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Norovirus genogroup II</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Confirmed</td>\n",
              "      <td>811</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3075</th>\n",
              "      <td>New York</td>\n",
              "      <td>NY</td>\n",
              "      <td>2006</td>\n",
              "      <td>Nov</td>\n",
              "      <td>Restaurant</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Norovirus unknown</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Confirmed</td>\n",
              "      <td>766</td>\n",
              "      <td>27</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3411</th>\n",
              "      <td>Illinois</td>\n",
              "      <td>IL</td>\n",
              "      <td>2007</td>\n",
              "      <td>Jul</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Norovirus genogroup I</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Confirmed</td>\n",
              "      <td>526</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3743</th>\n",
              "      <td>Ohio</td>\n",
              "      <td>OH</td>\n",
              "      <td>2008</td>\n",
              "      <td>Apr</td>\n",
              "      <td>Restaurant</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Norovirus genogroup II</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Confirmed</td>\n",
              "      <td>509</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d187393d-720f-4c04-ba08-77798f93720d')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "      display:flex;\n",
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              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-d187393d-720f-4c04-ba08-77798f93720d button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d187393d-720f-4c04-ba08-77798f93720d');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*There is no idenified ingredient for top 5 Norovirus caused outbreaks as in many outbreaks.*"
      ],
      "metadata": {
        "id": "AXLToBAujKO5"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Detected pathogenes/toxins which cooused multistate outbreaks. "
      ],
      "metadata": {
        "id": "XDb4pT5srLTD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,8))\n",
        "plt.xticks(rotation=90)\n",
        "sns.countplot(data=Confirmed_cases[\n",
        "    Confirmed_cases['State']=='Multistate'\n",
        "    ],\n",
        "    x='Species',\n",
        "    palette='rocket')\n",
        "plt.ylabel('Number of Multi-State Outbreaks')\n",
        "plt.title('Multi-State Outbreaks Responsible Pathogenes');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 782
        },
        "id": "ZmgNafi6q5yv",
        "outputId": "075aef43-0081-40b5-b585-65ab86869403"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*Bacterial pathogenes are responsible for the majority of Multistate food borne disease outbreaks.*"
      ],
      "metadata": {
        "id": "i10x0qovjlF2"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UC-t3Steb7ax"
      },
      "source": [
        "Let us save and upload our work to Jovian before continuing"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4Cbagru2b7ax"
      },
      "source": [
        "## Asking and Answering Questions\n",
        "\n",
        "Looking at the data and trying to answer some questions.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lchtMAGpb7ay"
      },
      "source": [
        "#### Q1: What are top 10 most deadly pathogenes/toxins?\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_hNBxk5Nb7ay",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "outputId": "e78539b2-41ef-4e6d-ce6e-64e90ccade8e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                    Species  Illnesses  Fatalities  \\\n",
              "32                   Listeria monocytogenes        657         113   \n",
              "67                          Vibrio cholerae          7           1   \n",
              "35                               Mycotoxins         79           6   \n",
              "47                                Rotavirus         96           6   \n",
              "15                    Clostridium botulinum        181           9   \n",
              "66                                  Unknown         61           1   \n",
              "72                  Yersinia enterocolitica         70           1   \n",
              "27  Escherichia coli, Shiga toxin-producing       7004          33   \n",
              "30                              Hepatitis A        813           4   \n",
              "49                      Salmonella enterica      47606          77   \n",
              "\n",
              "    Percent Fatality Rate  \n",
              "32                   17.2  \n",
              "67                   14.3  \n",
              "35                    7.6  \n",
              "47                    6.2  \n",
              "15                    5.0  \n",
              "66                    1.6  \n",
              "72                    1.4  \n",
              "27                    0.5  \n",
              "30                    0.5  \n",
              "49                    0.2  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-728220cd-79b1-4175-ae6b-bb55cdc02441\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Species</th>\n",
              "      <th>Illnesses</th>\n",
              "      <th>Fatalities</th>\n",
              "      <th>Percent Fatality Rate</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>Listeria monocytogenes</td>\n",
              "      <td>657</td>\n",
              "      <td>113</td>\n",
              "      <td>17.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>67</th>\n",
              "      <td>Vibrio cholerae</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>14.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>Mycotoxins</td>\n",
              "      <td>79</td>\n",
              "      <td>6</td>\n",
              "      <td>7.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>Rotavirus</td>\n",
              "      <td>96</td>\n",
              "      <td>6</td>\n",
              "      <td>6.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Clostridium botulinum</td>\n",
              "      <td>181</td>\n",
              "      <td>9</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66</th>\n",
              "      <td>Unknown</td>\n",
              "      <td>61</td>\n",
              "      <td>1</td>\n",
              "      <td>1.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>Yersinia enterocolitica</td>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>1.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Escherichia coli, Shiga toxin-producing</td>\n",
              "      <td>7004</td>\n",
              "      <td>33</td>\n",
              "      <td>0.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>Hepatitis A</td>\n",
              "      <td>813</td>\n",
              "      <td>4</td>\n",
              "      <td>0.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>Salmonella enterica</td>\n",
              "      <td>47606</td>\n",
              "      <td>77</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-728220cd-79b1-4175-ae6b-bb55cdc02441')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-728220cd-79b1-4175-ae6b-bb55cdc02441 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-728220cd-79b1-4175-ae6b-bb55cdc02441');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ],
      "source": [
        "# Calculating cumulative percent fatalities for each species.\n",
        "Most_fatals=Confirmed_cases.groupby(by='Species')[\n",
        "    ['Illnesses', 'Fatalities']\n",
        "    ].sum().reset_index()\n",
        "Most_fatals['Percent Fatality Rate']=(\n",
        "    (Most_fatals['Fatalities']/Most_fatals['Illnesses'])*100\n",
        ").round(1)\n",
        "\n",
        "# Sorting and listing.\n",
        "Most_fatals=Most_fatals.sort_values(by='Percent Fatality Rate',\n",
        "                       ascending=False)\n",
        "Most_fatals.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "plt.xticks(rotation=90)\n",
        "sns.barplot(\n",
        "    data=Most_fatals.head(30),\n",
        "    x='Species',\n",
        "    y='Percent Fatality Rate',\n",
        "    palette='Greys_r'\n",
        "    )\n",
        "plt.title('Most Deadly Pathogenes/Toxins')\n",
        "sns.despine(left=True, bottom=True)\n",
        "plt.yticks(np.arange(0,19,1.5));"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 782
        },
        "id": "qs6cB9_xrorG",
        "outputId": "18c23331-92e1-42b6-ea18-ac3e0c22e0d9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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XLl2yGgnJTkhIiObNm6effvpJu3fvVoECBawWTP431q9fr9TUVM2cOdPqd3HzDti/+7c//5s/i1tdvjt+/Lg8PDwsl2Ld3Nx06tSpLP3+2VamTBnLsStWrPiv6vv7Mffv36+GDRve8Zzv9JndunWr/vzzT5tviJDu7m/m6NGj+uijj9S+fXudOXNGb731lmrVqnXLm0fulaenp0JCQhQSEqLk5GT169dPERERCgsLc8hlivDgYQ4dYEf58uXT22+/rUGDBqlFixa37dekSRNlZmbq008/tWqfP3++5XVJunz5cpZ9b97ZefOy3825Xjcv4f0bMTExGjlypFxdXfXcc89Z2tu0aaM//vhDmzZtyrJPYmKi5c5UZ2dnOTk5WY1gXb16VcuXL7fa57HHHpOrq6sWL15sNVJ1N0/S8Pf3V5UqVbRixQp9//33at26dY4t4HzzH+S/15aamqpFixZl6ZsvXz5du3btnkfcfH19FRAQoFWrVunKlSuW9tOnT2vDhg1q3LixnJ2d5ezsrMcee0wbNmzQuXPnLP1OnTqlX3/91eqYrVq1krOzsz755JNb1nXp0qW7rvPJJ59UfHy8Fi9enOW11NRUJSYmSrLtM7tp0yZVrlz5rhZwtvVvJj09XcOHD1eRIkX01ltvafz48UpMTNS7775r83vdyT/P0d3dXeXLl1dKSoqSk5Nz7H2A7DBCB9hZSEjIHfs0bdpUjRo1UkREhGJjY1WlShVFRUXpxx9/VLdu3eTn5ydJmj59urZt26YmTZqoZMmSunr1qpYsWSIPDw/LP2BlypSRp6envvjiC3l4eCh//vz6z3/+YznG7URHR+vrr7+WYRi6du2a/vjjD61du1ZOTk6aOHGi1aLCzz//vH7++We9+OKLCgkJUUBAgFJSUnT48GH98MMP+uabb1SqVCk1bdpU8+fPV9++fdWhQwddvXpVX331lby9vXXx4kXL8by8vBQWFqZZs2ZpwIABCg4O1sGDB7Vp06a7GkXp0KGDxo0bZ/k+pwQFBcnV1VUDBw5Ut27dlJqaqq+//vqWl+MCAwO1Zs0ajR07VtWrV1eePHnu+ikbw4cP13PPPadu3bqpa9eulmVL3Nzc9Nprr1n6DRo0SJs3b9Yzzzyj7t27yzAMLVq0SBUrVtTBgwct/UqXLq2hQ4dq4sSJio2NVfPmzVWoUCGdPXtW69ev15NPPqmXX375rmp86qmn9MMPP2jMmDHavn27ateuLcMwdOLECX3//ff6+OOPVb9+fZs+sxs3brztDUO3Y+vfzMyZM7V//37NmTNHhQoVUqFChTR06FCNHTtWLVu2vO281rvx5JNPqm7dugoMDFSRIkV06NAhLVu2TE2bNrXMOwXsjUAHOAAnJydNmzZNERER+u677/T111+rePHiGjJkiJ5//nlLv+bNmysuLk4rV67UpUuXVLhwYdWsWVMvvfSS5RKTq6urJk6cqMmTJ2vMmDFKS0vToEGD7hjo1qxZozVr1lie5froo4+qd+/et3yWq7u7uz777DPNmjVLP/zwg77++mvlz59fZcuW1YsvvigfHx9JUv369TVhwgTNmjVL77//vh555BH16tVLhQoVyjJfavDgwcqbN6+WLFmiqKgoVatWTf/73//u6ikN7du316RJk1SsWDGrOxP/rXLlyumTTz7Rhx9+qEmTJqlIkSIKCQlRvXr1FBYWZtX3mWee0eHDh/XNN99o0aJFMgzjrgNdgwYNNG/ePE2dOlVTp06Vs7Oz6tSpo6FDh1rdLBEYGKg5c+Zo4sSJmjp1qooXL65XXnlFx48fz3LJ9rnnntOjjz6qBQsWaMaMGTIMQ8WKFVODBg3UunXru/6Z5MmTR9OmTdPChQu1atUqrV+/Xu7u7ipdurSeeeYZy9qHd/rMHj16VDExMZZwZytb/mb279+vmTNnqmvXrnr88cct+/bq1Uvr1q3Tu+++q7p161o+r/eqd+/e2rBhg7Zu3ark5GQVL15c/fr1Y/4ccpWTYc+ZuACQi65evapGjRrpueeesxrJeti8+OKLOnr0qCmeVDB37lzNnTtXkZGRNt2AAODW+OsB8MBYuXKl0tLSbLrM/aD45xytkydP6pdffrF5Pbf7rUSJEnrjjTcIc8C/xAgdANPbsmWLjh8/ro8//li1atXSzJkz73dJuSYoKEgdO3ZU6dKlFRMToyVLlig1NVUrV660umMYwIMtV+fQbd++Xf/73/+0f/9+XbhwQePGjVOnTp0sr9+4cUNTpkzRTz/9pCtXrqh48eLq0aOH+vTpk+1xt23bpvHjx+vIkSPy9fXV888/b/WMSAAPtunTp2v37t2qUaOG5XmdD4vGjRvru+++08WLF5U3b17VqFFDQ4YMIcwBD5lcDXRJSUny8/NTSEiIRowYkeX18ePHKzIyUhMnTlSpUqW0Y8cOjR49WoULF77tJZQzZ86of//+6ty5syZNmqSdO3fq3XfflZeXl1q1amXvUwLgAO5meZMHzc27egE83HI10AUHB1sWjgwPD8/y+u7du9WhQwc1aNBAklSqVCktW7ZMe/fuvW2gW7JkiXx9ffXmm29KkipUqKDff/9d8+bNI9ABAICHgkPNQq1Vq5Z+/vlnxcXFSZJ27dql6OjoLA+a/rs9e/aoUaNGVm1BQUHat29fluctAgAAPIgcKtCNHj1alSpVUpMmTRQQEKBevXpp2LBhatq06W33iY+Pz/J8TG9vb6Wnp99yhXIAAIAHjUMtLLxo0SLt2rVLM2bMUIkSJbRjxw5NnDhRJUuWtFoUEgAAAP+fwwS65ORkTZkyRR999JGaNWsmSapUqZKio6M1b9682wY6b29vJSQkWLXFx8fLxcUlRx+8DAAA4Kgc5pJrenq60tLSLA/BvsnZ2dnqwd7/VKNGDUVGRlq1RUZGKjAwUK6urnapFQAAwJHkaqC7ceOGoqOjFR0drczMTMXGxio6OlqxsbEqUKCA6tWrp8mTJysqKkpnzpzRihUrtGrVKj3xxBOWYwwfPlzDhw+3bHfv3l3nz5/X2LFjdezYMS1dulQrV67M8nxFAACAB1WuPikiKipKoaGhWdo7duyo8ePH6+LFi5oyZYo2b96sq1evqkSJEnr66acVFhYmJycnSX89VFmyXndq27ZtGjdunGVh4X79+rGwMAAAeGjw6C8AAACTc5g5dAAAALg3BDoAAACTI9ABAACYHIEOAADA5Ah0AAAAJkegAwAAMDkCHQAAgMkR6AAAAEyOQAcAAGByBDoAAACTI9ABAACYHIEOAADA5Ah0kpKTk+/LvgAAADnByTAM434X4Qg8PDzuab+kpKQcrgQAAODuMEIHAABgcgQ6AAAAkyPQAQAAmByBDgAAwOQIdAAAACZHoAMAADA5Ah0AAIDJEegAAABMjkAHAABgcgQ6AAAAkyPQAQAAmFyuBrrt27dr4MCBaty4sfz9/bVixYosfU6cOKFBgwapTp06ql69ujp27Khjx47d9phRUVHy9/fP8pXdPgAAAA8Sl9x8s6SkJPn5+SkkJEQjRozI8vqZM2fUo0cPhYSEaOHChSpUqJCOHz8uDw+POx77u+++k6enp2Xby8srR2sHAABwVLka6IKDgxUcHCxJCg8Pz/L6Rx99pEaNGmnkyJGWttKlS9t0bC8vL0IcAAB4KDnMHLrMzExt2LBBFStW1HPPPacGDRqoc+fOWrNmjU37d+nSRUFBQerdu7e2bt1q52oBAAAch8MEuoSEBCUlJWnWrFkKCgrS/Pnz1a5dOw0bNkwbN2687X4+Pj565513NHXqVEVERKhcuXLq06ePduzYkXvFAwAA3Ee5esk1O5mZmZKk5s2bq2/fvpKkypUra9++fVq0aJGaNGlyy/3Kly+v8uXLW7Zr1qypmJgYzZ07V3Xq1LF73QAAAPebw4zQFSlSRC4uLqpQoYJVe/ny5RUXF3dXx6pevbpOnTqVk+UBAAA4LIcJdHnz5lXVqlV14sQJq/aTJ0+qRIkSd3Ws6Oho+fj45GR5AAAADitXL7neuHFDp0+flvTXJdbY2FhFR0fL09NTJUqU0PPPP6/BgwerTp06atCggaKiorRmzRp98sknlmMMHz5ckjRx4kRJ0oIFC1SqVClVrFhRaWlpWr16tdatW6eIiIjcPDUAAID7xskwDCO33iwqKkqhoaFZ2jt27Kjx48dLklasWKFZs2YpLi5Ojz76qAYMGKB27dpZ+vbq1UuS9Nlnn0mS5syZo6VLl+rcuXNyd3dXxYoVNWDAAMvyKLayZa27W0lKSrqn/QAAAHJKrgY6R0agAwAAZuUwc+gAAABwbwh0AAAAJkegAwAAMDkCHQAAgMkR6AAAAEyOQAcAAGByBDoAAACTI9ABAACYHIEOAADA5Ah0AAAAJkegAwAAMDkCHQAAgMkR6AAAAEyOQAcAAGByBDoAAACTI9ABAACYHIEOAADA5Ah0AAAAJkegAwAAMDkCHQAAgMkR6AAAAEyOQAcAAGByBDoAAACTI9ABAACYHIEOAADA5HI10G3fvl0DBw5U48aN5e/vrxUrVli9PnLkSPn7+1t9de3a9Y7H3bZtmzp16qSqVauqefPm+uKLL+x1CgAAAA7HJTffLCkpSX5+fgoJCdGIESNu2eexxx7TxIkTLduurq7ZHvPMmTPq37+/OnfurEmTJmnnzp1699135eXlpVatWuVo/QAAAI4oVwNdcHCwgoODJUnh4eG37JM3b175+PjYfMwlS5bI19dXb775piSpQoUK+v333zVv3jwCHQAAeCg43By6nTt3qmHDhmrVqpVGjx6thISEbPvv2bNHjRo1smoLCgrSvn37lJaWZs9SAQAAHEKujtDdSePGjfXEE0+oVKlSiomJ0UcffaTevXtrxYoVyps37y33iY+PV8OGDa3avL29lZ6ersuXL8vX1zc3SgcAALhvHCrQtW3b1vK9v7+/AgIC1KxZM23cuFEtW7a8j5UBAAA4Loe75Pp3xYoVU7FixXTy5Mnb9vH29s5yWTY+Pl4uLi4qUqSInSsEAAC4/xw60F26dEkXLlzI9rJpjRo1FBkZadUWGRmpwMDAO94hCwAA8CDI1UB348YNRUdHKzo6WpmZmYqNjVV0dLRiY2N148YNTZgwQbt379bZs2cVFRWlF154QV5eXmrRooXlGMOHD9fw4cMt2927d9f58+c1duxYHTt2TEuXLtXKlSsVFhaWm6cGAABw3zgZhmHk1ptFRUUpNDQ0S3vHjh31zjvv6KWXXtKBAwd0/fp1+fj4qH79+nr11VdVvHhxS99evXpJkj777DNL27Zt2zRu3DgdOXJEvr6+6tevn3r06HFXtXl4eNzTOSUlJd3TfgAAADklVwOdIyPQAQAAs3LoOXQAAAC4MwIdAACAyRHoAAAATI5ABwAAYHIEOgAAAJMj0AEAAJgcgQ4AAMDkCHQAAAAmR6ADAAAwOQIdAACAyRHoclhycvJ92RcAADy8XO53AQ8ad3d3eXt739O+8fHxOVwNAAB4GDBCBwAAYHIEOgAAAJMj0AEAAJgcgQ4AAMDkCHQAAAAmR6ADAAAwOQIdAACAyRHoAAAATI5ABwAAYHIEOgAAAJMj0AEAAJgcgQ4AAMDkCHQAAAAmR6ADAAAwuVwNdNu3b9fAgQPVuHFj+fv7a8WKFVavf/TRR2rdurVq1KihunXrqnfv3tq1a1e2x4yKipK/v3+Wr2PHjtnzVAAAAByGS26+WVJSkvz8/BQSEqIRI0Zkeb1cuXJ6++23VapUKSUnJ2vBggV6/vnntXbtWnl7e2d77O+++06enp6WbS8vrxyvHwAAwBHlaqALDg5WcHCwJCk8PDzL6x06dLDaDg8P17JlyxQdHa3GjRtne2wvLy9CHAAAeCjlaqC7G6mpqfryyy9VoEABVa5c+Y79u3TpotTUVFWoUEEvvPCCGjRokAtVAgAA3H8OF+h+/vlnDRkyRH/++ad8fHw0f/78bC+3+vj46J133lHVqlWVlpamr7/+Wn369NGiRYtUp06dXKwcAADg/nC4QFe/fn2tWrVKly9f1ldffaXBgwdryZIl8vX1vWX/8uXLq3z58pbtmjVrKiYmRnPnziXQAQCAh4LDLVvi4VBrxLMAACAASURBVOGhRx99VDVq1ND7778vFxcXLV269K6OUb16dZ06dcpOFQIAADgWhwt0/5SZmanU1NS72ic6Olo+Pj52qggAAMCx5Ool1xs3buj06dOS/gpqsbGxio6OlqenpwoVKqQ5c+aoWbNm8vHx0aVLl/T555/r3LlzatOmjeUYw4cPlyRNnDhRkrRgwQKVKlVKFStWVFpamlavXq1169YpIiIiN08NAADgvsnVQLdv3z6FhoZatiMiIhQREaGOHTvq7bff1tGjR7V8+XJduXJFhQsXVtWqVfX555+rUqVKln3i4uKsjpmWlqaJEyfq3Llzcnd3V8WKFTV79mzL8igAAAAPOifDMIz7XYQj8PDwuKf9kpKSsrTdaRHk24mPj7+n/QAAwMPN4efQAQAAIHsEOgAAAJMj0AEAAJgcgQ4AAMDkCHQAAAAmR6ADAAAwOQIdAACAyRHoAAAATI5ABwAAYHIEOgAAAJMj0AEAAJgcgQ4AAMDkCHQAAAAmR6ADAAAwOQIdAACAyRHoAAAATI5ABwAAYHIEOgAAAJMj0AEAAJgcgQ4AAMDkCHQAAAAmR6ADAAAwOQIdAACAyRHoAAAATI5ABwAAYHK5Gui2b9+ugQMHqnHjxvL399eKFSssr6WlpWnSpElq3769atSooaCgIA0dOlSxsbF3PO62bdvUqVMnVa1aVc2bN9cXX3xhz9MAAABwKLka6JKSkuTn56dRo0bJ3d3d6rXk5GQdOHBAL7zwglasWKHp06crLi5Ozz//vNLT0297zDNnzqh///6qWbOmVq1apQEDBui9997Tjz/+aO/TAQAAcAhOhmEY9+ONa9asqTfffFOdOnW6bZ+jR4+qbdu2Wr16tfz9/W/ZZ9KkSfrpp5+0du1aS9uoUaN09OhRffnllzbX4+HhYXvxf5OUlJSlzdvb+56OFR8ff0/7AQCAh5tDz6FLTEyUJHl6et62z549e9SoUSOrtqCgIO3bt09paWl2rQ8AAMAR2BzoUlJS9MMPP2j27Nm6du2aJOn06dO6cuWKXQpLTU3V+PHj1bRpUz3yyCO37RcfH6+iRYtatXl7eys9PV2XL1+2S20AAACOxMWWTqdOnVLfvn1148YNXb9+XW3atFGhQoX0xRdf6Nq1axo7dmyOFpWenq7XX39d169f14wZM3L02AAAAA8am0bo3n//fTVq1EiRkZFyc3OztDdr1kxRUVE5WlB6erqGDBmiQ4cOacGCBSpSpEi2/b29vZWQkGDVFh8fLxcXlzvuCwAA8CCwaYRu9+7d+vLLL+Xs7GzVXrx4cV24cCHHiklLS9OQIUN0+PBhffbZZ/Lx8bnjPjVq1NC6deus2iIjIxUYGChXV9ccqw0AAMBR2TyH7lZLh8TFxalgwYI2v9mNGzcUHR2t6OhoZWZmKjY2VtHR0YqNjVV6erpeffVV7dmzR1OmTJGTk5MuXryoixcvKjk52XKM4cOHa/jw4Zbt7t276/z58xo7dqyOHTumpUuXauXKlQoLC7O5LgAAADOzKdA1atRI8+fPt2pLTEzU1KlTFRwcbPOb7du3TyEhIQoJCVFycrIiIiIUEhKiqVOn6ty5c1q/fr0uXLigTp06KSgoyPK1Zs0ayzHi4uIUFxdn2S5durRmz56tHTt2qEOHDpoxY4ZGjRqlVq1a2VwXAACAmdm0Dt358+cVGhoqSTp79qwqV66s06dPq2jRovr888/l5eVl90LtjXXoAACAWdm8sHBycrK+/fZbHThwQJmZmQoICFD79u2zPPHBrAh0AADArGwKdNu3b1fNmjXl4mJ9D0V6erp2796tunXr2q3A3EKgAwAAZmXTHLrQ0FBdvXo1S/v169ctl2IBAABwf9gU6AzDkJOTU5b2K1euKF++fDleFAAAAGyX7Tp0AwcOlCQ5OTnp9ddft1rXLTMzU0eOHFHNmjXtWyEAAACylW2gu/mkBcMwVKhQIasbIFxdXVW7dm09/fTT9q0QAAAA2co20I0bN06SVLJkSYWFhd3zjQMAAACwH5uXLXnQcZcrAAAwK5ue5SpJy5cv13fffafY2FilpaVZvbZ+/focLwwAAAC2seku17lz52rChAkKCAhQTEyMWrRoof/85z+6evWqOnfubO8aAQAAkA2bRuiWLl2qMWPGqHXr1lq0aJF69uyp0qVL65NPPlFsbKy9awQAAEA2bBqhO3funKpVqyZJcnd3V2JioiSpXbt2Wrt2rf2qAwAAwB3ZFOi8vb11+fJlSVKJEiW0e/duSdKpU6duueAwAAAAco9Nl1wbNGigDRs2KCAgQF26dNG4ceP0/fff68CBA2rTpo29awQAAEA2bFq2JDMzU5mZmXJx+Sv/rVmzRrt27VLZsmXVrVs3qydImBXLlgAAALP61+vQxcXFqXjx4jlVz31DoAMAAGZl0xy6W7l48aLeffddtWrVKifrAQAAwF3KNtBdu3ZNQ4cOVYMGDRQUFKRPP/1UhmFo2rRpatGihX7//Xe9//77uVUrAAAAbiHbmyKmTJmiHTt2qGPHjvr11181btw4RUZGKikpSXPmzFG9evVyq04AAADcRraBbtOmTRo3bpwee+wxPfPMM3riiSdUunRpjRo1KrfqAwAAwB1ke8n1woULqlChgiSpdOnScnNzU9euXXOlMAAAANgm20CXmZlptSRJnjx55O7ubveiAAAAYLtsL7kahqHXX3/dEupSU1P15ptvZgl1M2fOtF+FAAAAyFa2ga5jx45W20899ZRdiwEAAMDd+9cLCz8oWFgYAACY1T0vLHwvtm/froEDB6px48by9/fXihUrrF43DEMREREKCgpStWrV1KtXLx05ciTbY65YsUL+/v5ZvlJSUux5KgAAAA4jVwNdUlKS/Pz8NGrUqFveXDFnzhzNmzdPb775ppYtWyYvLy/17dtXiYmJ2R43X7582rx5s9WXm5ubvU4DAADAoeRqoAsODtaQIUPUunVr5clj/daGYejTTz9V//791apVK/n5+WnChAm6ceOGvv3222yP6+TkJB8fH6svAACAh0WuBrrsnD17VhcvXlSjRo0sbe7u7qpbt652796d7b7Jyclq2rSpHn/8cQ0YMEAHDhywd7kAAAAOw6ZAl56ebu86dPHiRUlZbygoWrRotjcLlCtXTu+//76mT5+uKVOmyM3NTT169NDJkyftWS4AAIDDsCnQBQUFacKECTp27Ji967lrNWvWVMeOHVW5cmXVqVNHH374ocqUKaNFixbd79IAAAByhU2BbsiQIdq9e7fatWunbt26aenSpbpx40aOFnJz3ts/R+MSEhLuahkQZ2dnBQYGMkIHAAAeGjYFuq5du2rJkiX69ttvVatWLX388ccKCgpSeHi4du7cmSOFlCpVSj4+PoqMjLS0paSkaMeOHapZs6bNxzEMQ4cOHeLGCAAA8NC4q5siKlSooBEjRmjTpk0aMmSIvv32W/Xs2VOtW7fWF198oczMzGz3v3HjhqKjoxUdHa3MzEzFxsYqOjpasbGxcnJyUmhoqObMmaO1a9fq8OHDGjlypDw8PNSuXTvLMXr37q3JkydbtqdNm6Zff/1VZ86cUXR0tN544w0dOnRIPXr0uMsfBQAAgDll++ivf0pNTdVPP/2k5cuXa+vWrapdu7Y6d+6sCxcuaPr06dq2bZs+/PDD2+6/b98+hYaGWrYjIiIUERGhjh07avz48erXr59SUlI0ZswYXb16VdWrV9e8efNUoEAByz5nzpxR8eLFLdvXrl3TW2+9pYsXL6pgwYKqUqWKFi1apGrVqt3NqQEAAJiWTY/+2r9/v5YvX67vvvtOLi4u6tChg55++mmVK1fO0ufIkSPq3Lmz9u7da9eC7YVHfwEAALOyaYSuS5cuatSokcaMGaPmzZvLxSXrbiVLllTbtm1zvEAAAABkz6YRupiYGJUsWTI36rlvGKEDAABmZdNNEaGhobp8+XKW9mvXrql58+Y5XhQAAABsZ1Ogi4mJueUdrKmpqTp//nyOFwUAAADbZTuHbu3atZbvN27cqIIFC1q2MzIytGXLlgf+UiwAAICjy3YOXaVKlf7q5OSkf3ZzcXFRyZIlNXLkSDVt2tS+VeYC5tABAACzynaE7uDBg5KkZs2aadmyZfLy8sqVogAAAGA7m+5yfRgwQgcAAMzqtiN08+fP1zPPPCM3NzfNnz8/24P07ds3xwsDAACAbW47QtesWTMtX75cRYoUUbNmzW5/ACcnrV+/3m4F5hZG6AAAgFlxyfX/EOgAAIBZ2bQOHQAAABxXtnPobMUcOgAAgPvntoHus88+s+kATk5OBDoAAID7iDl0/4c5dAAAwKyYQwcAAGBy2T4p4u+uXr2qX375RXFxcUpNTbV6bdCgQTleGAAAAGxjU6Dbs2ePBgwYIFdXV12+fFnFihXThQsXlDdvXpUsWZJABwAAcB/ZdMl14sSJat++vX799VflzZtXCxcu1MaNGxUYGKh+/frZu0YAAABkw6ZAd+jQIT377LNycnKSs7OzUlNT5e3trWHDhmnatGn2rhEAAADZsCnQubq6Wr4vWrSoYmJiJEn58+fXhQsX7FMZAAAAbGLTHLqAgAD98ccfKleunOrXr6+PPvpICQkJWr16tfz9/e1dIwAAALJh0wjd4MGD5evra/ney8tL//3vf3X16lW9++67di0QAAAA2WNh4f/DwsIAAMCsbBqhCw0N1bVr17K0JyYmKjQ0NMeLAgAAgO1sCnTbtm1TWlpalvaUlBTt3LkzRwtKTEzU2LFj1bRpU1WrVk3du3fX3r17s93n0KFD6tmzp6pVq6bGjRtr2rRpYuARAAA8LLK9KWL//v2W7w8dOiRPT0/LdkZGhjZv3qxixYrlaEGjR4/WoUOHNH78eD3yyCNavXq1+vbtqzVr1tzyvRITExUWFqY6depo2bJlOn78uMLDw+Xh4aGwsLAcrQ0AAMARZTuHrlKlSnJycpKkW454ubu7a/To0erSpUuOFJOcnKxatWpp6tSpatGihaW9U6dOaty4sV577bUs+yxevFgffPCBIiMj5e7uLkmaPn26vvjiC/3yyy+W+u+EOXQAAMCssh2hW79+vQzDUIsWLbR06VJ5eXlZXnN1dVXRokXl7OycY8Wkp6crIyNDbm5uVu1ubm7atWvXLffZs2eP6tSpYwlzkhQUFKSPP/5YZ8+eVenSpXOsPgAAAEeUbaArWbKkJOngwYO5UkyBAgVUs2ZNzZgxQ35+fvL29ta3336rPXv2qEyZMrfcJz4+Psul2JsjZPHx8QQ6AADwwLNpYWHpr9GzvXv3Ki4uLssNEiEhITlW0MSJE/XGG2/o8ccfl7Ozs6pUqaK2bdtazecDAADA/2dToDt27JheeOEFnT17VoZhyNnZWenp6XJxcVHevHlzNNCVKVNGixYtUlJSkhITE+Xr66vBgwffdqTN29tbCQkJVm0356Ld61w2AAAAM7Fp2ZL3339fAQEB2rFjh9zd3bVmzRotX75clStXVkREhF0K8/DwkK+vr65evarNmzerefPmt+xXo0YN7dixQykpKZa2yMhI+fr6qlSpUnapDQAAwJHYFOj27dunF154QR4eHsqTJ4/S09MVEBCg119/XePHj8/Rgn799Vdt2rRJZ86c0W+//abQ0FCVL19enTp1kiRNnjxZvXv3tvRv37698uXLp5EjR+rw4cNau3atZs+erb59+9p8hysAAICZ2XTJ1TAM5cuXT5Lk5eWl8+fPq3z58nrkkUd0+vTpHC3o+vXrmjJlis6dO6fChQurZcuWeu211+Tq6ipJunjxos6cOWPpX7BgQc2bN09jxoxR586d5enpqbCwMPXt2zdH6wIAAHBUNj3L9dlnn1WfPn30xBNPaOjQobpy5YoGDBigr776SocOHdI333yTG7XaFevQAQAAs7LpkuvAgQMtCwsPHjxYsbGxCg0N1W+//abRo0fbtUAAAABkL9sRuk8//VTdunXLstCvJF25ckWenp4PzDw1RugAAIBZZTtCN27cOCUmJlq2a9WqZZm/Vrhw4QcmzAEAAJhZtoHun4N3Nky3AwAAQC6zaQ4dAAAAHFe2gc7JycnqsiqXWAEAABxPtjdFVKpUSfny5bMEuaSkJKvtm3bt2mXfKnMBN0UAAACzynZh4XHjxuVWHQAAALhHNi0s/DBghA4AAJgVN0UAAACYHIEOAADA5Ah0AAAAJkegAwAAMDmbAt2qVauUmpqapT01NVWrVq3K8aIAAABgO5sCXXh4uK5fv56l/caNGwoPD8/xogAAAGA7mwKdYRi3fEpEXFycChYsmONFAQAAwHbZLizcvn17SX898qtnz55ydna2vJaZmanY2Fg9/vjj9q0QAAAA2co20LVq1UqSdOTIEQUHByt//vyW11xdXVWyZEm1bNnSvhUCAAAgW9kGukGDBkmSSpYsqSeffFJubm65UhQAAABsd9eP/rp27ZoyMzOt2goXLpyjRd0PPPoLAACYVbYjdDfFxMTo7bff1rZt25SWlmZpv3mzRHR0tN0KBAAAQPZsCnQ3ly0ZO3asfH19b3nHKwAAAO4PmwLdH3/8oS+//FJ+fn72rgcAAAB3yaZ16EqVKnXLJ0UAAADg/rMp0L3xxhuaMmWKTp06Ze96AAAAcJdsusu1Zs2aSktLU0ZGhvLmzWu1wLAk7dq1K0eKadasmWJiYrK0BwcHa/bs2bfcx9/fP0vbO++8ox49etzVe3OXKwAAMCub5tC99dZb9q5DkrRs2TJlZGRYti9evKhOnTqpTZs22e733nvvqUmTJpZtHkcGAAAeJjYFuo4dO9q7DkmSl5eX1fayZctUoECBOwa6ggULysfHx56l5brk5GS5u7vn+r4AAMB8bF5YOD4+Xl9//bVOnz6tV199VV5eXtq5c6d8fX1VunTpHC/MMAy1aNFCwcHB2Y4Q+vv7y9fXV6mpqSpVqpS6dOmibt26KU8em6YHWjjiJdd7/bmeOXPmnvYDAADmZNMI3b59+9SnTx+VKlVKR48e1fPPPy8vLy9FRkbq5MmTmjx5co4X9ttvv+ns2bPq2rVrtv1eeeUV1a9fX/nz59eWLVs0YcIEXb58WS+++GKO1wQAAOCIbAp0EyZMUGhoqF555RXVrFnT0h4UFKQVK1bYpbCvvvpKVatWVaVKlbLt99JLL1m+r1y5sjIyMjRz5kwCHQAAeGjYdF1y//79t5xH5+PjY5c7MxMSErRhw4Y7js7dSvXq1ZWYmMgdowAA4KFhU6Bzd3fX1atXs7QfP35cRYsWzfGiVqxYIVdXV7Vt2/au942Ojpabm5sKFSqU43UBAAA4IpsCXfPmzTVt2jSrp0WcPXtWH3zwgVq2bJmjBRmGoWXLlqlt27bKnz+/1WuLFi1S69atLdsbNmzQV199pcOHD+v06dNaunSppk6dqq5duypv3rw5WhcAAICjsmkO3YgRI9SvXz81aNBAycnJeuaZZ5SQkKBatWpp8ODBOVpQVFSUTp48qUmTJmV57fLlyzpx4oRl28XFRYsXL9a4ceNkGIZKly6tV155Rc8++2yO1gQAAODIbF62RJK2bNmiAwcOKDMzUwEBAXrsscfsWVuuYtkSAABgVjaN0N3UsGFDNWzY0F61AAAA4B7YNIcuPDxc8+bNy9I+f/58jRo1KseLAgAAgO1sCnS//PKLGjRokKW9QYMG2rRpU44XBQAAANvZFOiuXbt2yzlm+fLlu+VyJgAAAMg9NgW6smXL3nIkbuPGjXr00UdzvCgAAADYzqabIsLCwvT222/r0qVLlkuvW7Zs0cKFC/XWW2/ZtUAAAABkz6ZA17FjR6WkpGjGjBmaNWuWJKlYsWIaOXKkOnfubNcCAQAAkL07Brr09HR9+eWXatGihbp3765Lly5Jkry8vOxeHAAAAO7sjnPoXFxcNGnSJKWnp0v6K8gR5gAAAByHTTdFVK9eXfv377d3LQAAALgHNs2h69q1qyZMmKDY2FgFBgYqX758Vq8HBATYpTgAAADcmU3Pcq1UqdLtD+DkpOjo6Bwt6n7gWa4AAMCsbBqhW79+vb3rAAAAwD2yKdCVLFnS3nUAAADgHtl0U4Qkbdq0SQMGDNCTTz6puLg4SdLSpUu1ZcsWuxUHAACAO7Mp0K1evVqDBw/Wo48+qrNnz1qWMMnIyNDcuXPtWiAAAACyZ1Ogmzt3rt577z298cYbcnZ2trTXqFHjgbghAgAAwMxsCnSnTp1SjRo1srR7eHgoMTExx4sCAACA7WwKdL6+vjp58mSW9u3bt6tMmTI5XRMAAADugk2BrmvXrnrvvfe0c+dOSVJcXJxWrlypSZMmqUePHnYtEAAAANmzadmSfv36KTExUWFhYUpJSVFoaKjy5s2rsLAwPfvss/auEQAAANmw6UkRN/355586evSoDMNQhQoVlD9/fnvWlqt4UgQAADCrbEfo/vzzT02cOFHr1q1Tenq6HnvsMY0aNUpeXl65VR8AAADuINs5dFOnTtXKlSvVpEkTtW3bVr/99pveeeedXCoNAAAAtsh2hO6nn37S2LFj1bZtW0nSU089pR49eigjI8NqPTo4tpSUFLm5ueX6vgAAIHdkG+jOnTunOnXqWLarVasmZ2dnXbhwQcWLF7dLQRcuXNDkyZO1adMm3bhxQ6VLl9Y777yjevXq3XafQ4cO6b///a/27t0rT09PdevWTS+99JKcnJzsUqPZuLm5qVKlSve078GDB3O4GgAAkNOyDXQZGRlydXW1anN2drY8+iunXbt2TT169FDt2rU1e/ZsFSlSRGfPnlXRokVvu8/Nu2/r1KmjZcuW6fjx4woPD5eHh4fCwsLsUicAAIAjyTbQGYah119/3SrUpaam6s0335S7u7ulbebMmTlSzNy5c+Xj46OJEyda2u50p+fq1av1559/asKECXJ3d5efn5+OHz+u+fPnq2/fvozSAQCAB162N0V07NhRvr6+KlKkiOXrqaeeUvHixa3acsq6detUvXp1DR48WA0bNlSHDh20aNEiZbeyyp49e1SnTh2rgBkUFKQLFy7o7NmzOVYbAACAo8p2hG7cuHG5VYekv9ZPW7x4sfr06aP+/fsrOjpa7733niSpZ8+et9wnPj5exYoVs2q7uQ5cfHz8Pa/lBgAAYBY2PSkitxiGocDAQA0dOlSSVKVKFZ06dUqff/75bQMdAADAw86mZ7nmFh8fH1WoUMGqrXz58oqLi7vtPt7e3kpISLBqu/nEhXt9YgMAAICZOFSgq1Wrlk6cOGHVdvLkSZUoUeK2+9SoUUM7duxQSkqKpS0yMlK+vr4qVaqU3WoFAABwFA4V6Hr37q3ff/9dM2bM0KlTp/T999/rs88+07PPPmvpM3nyZPXu3duy3b59e+XLl08jR47U4cOHtXbtWs2ePZs7XAEAwEPDoebQVatWTZ988ommTJmi6dOnq0SJEnr11Vf1zDPPWPpcvHjR6uHzBQsW1Lx58zRmzBh17txZnp6eCgsLU9++fe/HKQAAAOQ6JyO7NUEeIh4eHve0X1JSUpa2e527d3Pu3033eofu3wPvTTwpAgCAB5dDXXIFAADA3SPQAQAAmByBDgAAwOQIdAAAACZHoAMAADA5Ah0AAIDJEegAAABMjkAHAABgcgQ6AAAAkyPQAQAAmByBDgAAwOQIdAAAACZHoAMAADA5Ah0AAIDJEegAAABMjkAHAABgcgQ6AAAAkyPQ4a6kpKTk6n4AAODOXO53ATAXNzc31a5d+67327lzpx2qAQAAEiN0AAAApkegAwAAMDkCHQAAgMkR6AAAAEyOQAcAAGByBDoAAACTc+hAN2vWLPn7+2vMmDG37XP27Fn5+/tn+frll19ysVIAAID7x2HXoduzZ4++/PJL+fv729R/7ty5qlSpkmXb09PTXqUBAAA4FIccobt+/bqGDRum999/3+ZgVrhwYfn4+Fi+8ubNa+cqAQAAHINDBro333xTrVq1UoMGDWze5+WXX1bDhg3VvXt3/fDDD3asDgAAwLE43CXXr776SqdPn9akSZNs6u/h4aERI0aoVq1acnZ21oYNG/Taa68pJSVFHTp0sHO1AAAA959DBbrjx49rypQpWrx4sVxdXW3ax8vLS2FhYZbtqlWr6vLly5o7dy6BDgAAPBQcKtDt2bNHly9fVrt27SxtGRkZ2r59u5YsWaI9e/bYNDeuevXqWrFihT1LBQAAcBgOFehatGihwMBAq7bw8HCVLVtWAwYMsHnULjo6Wj4+PvYoEQAAwOE4VKArVKiQChUqZNXm4eEhT09P+fn5SZImT56svXv3auHChZKklStXysXFRVWqVJGTk5N+/vlnLV68WMOGDcv1+gEAAO4Hhwp0trh48aLOnDlj1TZjxgzFxsYqT548Klu2rMaOHcv8OQAA8NBwMgzDuN9FOAIPD4972i8pKSlLm7e39z0dKz4+3mq7dOnS93ScfwZeSVaLLt+NgwcPZmmrXbv2XR9n586d9/T+AADgzhxyHToAAADYjkAHAABgcgQ6AAAAkyPQAQAAmByBDgAAwOQIdAAAACZHoAMAADA5Ah0AAIDJEegAAABMjkAHAABgcgQ6AAAAkyPQAQAAmByBDgAAwOQIdAAAACZHoAMAADA5Ah0AAIDJEegAAABMjkAHAABgcgQ6AAAAkyPQAQAAmByBDgAAwOQIdAAAACZHoAMAADA5Ah0AAIDJEegAAABMzqEC3eeff6727durVq1aqlWrlrp166aNGzdmu8+hQ4fUs2dPVatWTY0bN9a0adNkGEbuFAwAAOAAXO53AX9XrFgxDRs2TGXLllVmZqZWrVqll156ScuXL1elSpWy9E9MTFRYWJjq1KmjZcuW6fjx4woPD5eHh4fCwsLuwxng/7F35nE17d//fx0azK4iYzJPJQplnqeLzNM1K0MoF5UmDVQU+ElduQAAIABJREFUkaF7cYWQMUSFK3yuIaLJmCljpShlqjhN+/dHv7O/nc6p9j5nd9Xns56Ph8dD+7RX73323u+99nqv9VoEQRAEQfz7VCiHbujQoVI/r1y5EkePHsW9e/fkOnTBwcH4/v07vLy8UK1aNbRr1w6vXr3C/v37MX/+fIhEon9r6ARBEARBED+NCrXkWpT8/HycO3cO2dnZMDAwkPs79+7dQ/fu3VGtWjV2W9++fZGamoqkpKR/a6gEQRAEQRA/lQoVoQMKc+KmT58OsViMGjVqwNfXF+3bt5f7ux8/fkTDhg2lttWvX5/9TFtbu9zHSxAEQRAE8bOpcBG6li1b4syZMzhx4gR+++032Nra4vnz5z97WARBEARBEBWWCufQqampQUdHB3p6erCyskLHjh3h7+8v93fr16+P9PR0qW0fP35kPyMIgiAIgvhfoMI5dMUpKChATk6O3M+6du2K6OhoiMVidtutW7egpaWFZs2a/VtDJAiCIAiC+KlUKIfO29sb0dHRSEpKwrNnz7B582ZERkbCxMQEALB582bMnTuX/X0TExNUr14ddnZ2eP78OcLCwvDXX39RhStBEARBEP9TVKiiiI8fP8LGxgZpaWmoXbs22rdvjz179qBfv34AgLS0NCQmJrK/X7t2bezbtw/r1q3DpEmTULduXZiammL+/Pk/6xAIgiAIgiD+dUQMtVUAANSoUUOh/bKzs2W2KZq/J8n/k6BolW5Rp1eCPB0/Ljx9+lRmW7du3XjbiYmJUejvEwRBEARRNhVqyZUgCIIgCILgDzl0BEEQBEEQlRxy6AiCIAiCICo55NARBEEQBEFUcsihIwiCIAiCqOSQQ0cQBEEQBFHJIYeOIAiCIAiikkMOHUEQBEEQRCWHHDqCIAiCIIhKDjl0BEEQBEEQlRxy6AiCIAiCICo55NARBEEQBEFUcsihIwiCIAiCqOSQQ0cQBEEQBFHJIYeOIAiCIAiikkMOHUEQBEEQRCWHHDqCIAiCIIhKDjl0BEEQBEEQlRxy6AiCIAiCICo55NARBEEQBEFUcsihIwiCIAiCqOSQQ0cQBEEQBFHJIYeOIAiCIAiikkMOHUEQBEEQRCWHHDqCIAiCIIhKToVz6KKiomBubo5+/fqhffv2OH36dKm/n5SUhPbt28v8u379+r80YoIgCIIgiJ+Lys8eQHGys7PRrl07jB8/Hra2tpz38/PzQ4cOHdif69atWx7DIwiCIAiCqHBUOIduwIABGDBgAADA3t6e836//PILGjRoUF7DIgRGLBZDXV39X9+XIAiCIP4bqXAOnaJYWlpCLBZDR0cH8+bNw8iRI3/2kIhSUFdXR//+/RXal5bTCYIgCEKaSu/Q1ahRA7a2tjA0NETVqlXxn//8BytXroRYLMa4ceN+9vAIgiAIgiDKnUrv0GloaMDU1JT9uXPnzvj06RP8/PzIoSMIgiAI4n+CClflKgRdunTB27dvf/YwCIIgCIIg/hX+Kx26J0+eUIHE/xA5OTk/ZV+CIAiCqChUuCXXrKwsJCQkAAAKCgqQnJyMJ0+eoG7dumjSpAk2b96MBw8e4MCBAwCAoKAgqKiooFOnThCJRPjnn39w5MgRWFtb/8zDIP5F1NTU8Ouvvyq074ULFwQeDUEQBEH8+1Q4h+7Ro0eYM2cO+/OOHTuwY8cOTJgwAZ6enkhLS0NiYqLUPjt37kRycjKqVKmCFi1awMPDg/LnCIIgCIL4n6HCOXTGxsZ49uxZiZ97enpK/TxhwgRMmDChvIdFEARBEARRYfmvzKEjCIIgCIL4X4IcOoIgCIIgiEoOOXQEQRAEQRCVHHLoCIIgCIIgKjnk0BEEQRAEQVRyyKEjCIIgCIKo5JBDRxAEQRAEUckhh44gCIIgCKKSQw4dQRAEQRBEJYccOoIgCIIgiEoOOXQEQRAEQRCVHHLoCIIgCIIgKjnk0BEEQRAEQVRyyKEjCIIgCIKo5JBDRxAEQRAEUckhh44gCIIgCKKSQw4dQRAEQRBEJYccOoIgCIIgiEoOOXQE8f/JyckRbF8hbREEQRBEWaj87AEQREVBTU0NU6ZMUWjfwMBAGVtz5sxRyNbBgwcV2o8gCIL434UidARBEARBEJUccugIgiAIgiAqOeTQEQRBEARBVHLIoSMIgiAIgqjkkENHEARBEARRySGHjiAqOLm5uYLsp6gdZfclCIIgyp8KKVty+PBh7N27F2lpaWjbti0cHBzQvXv3En8/MjISnp6eiI+Ph5aWFhYsWIDffvvtXxwxQZQfqqqqWLRoEe/9/vrrLxk7y5cvV2gM27dvV2g/giAI4t+hwkXozp8/j/Xr18Pc3BxnzpyBgYEBFi5ciOTkZLm/n5iYiEWLFsHAwABnzpzB4sWL4e7ujosXL/7LIyeI/x2EivYJGTXMy8tT2JYy+xIEQVQEKlyEbv/+/ZgwYQKmTp0KAHBycsKNGzdw9OhRWFlZyfz+sWPHoKWlBScnJwBA69atcf/+fezbtw8jRoz4V8dOEP8rqKqqws7OTqF9PT09pey4uroqZKf4fioqKvDy8lLIlq2trUL7EQRBVBQqVIQuJycHcXFx6NOnj9T2Pn364O7du3L3uXfvnszv9+3bF48ePaK8H4IgCIIg/icQMQzD/OxBSPjw4QP69++PgIAA9OjRg93u6+uLkJAQucuoI0aMgImJCSwsLNhtUVFRmDVrFm7cuAEtLa1/ZewEQRAEQRA/iwoVoSMIgiAIgiD4U6Ecunr16qFq1ar4+PGj1Pb09HQ0aNBA7j7169dHenq61LaPHz9CRUUF9erVK7exEgRBEARBVBQqlEOnpqYGXV1d3Lp1S2r7rVu3YGBgIHefrl27yv19PT09qKqqlttYCYIgCIIgKgoVyqEDgPnz5yMoKAiBgYF4+fIl3N3dkZqaiunTpwMAVq9ejdWrV7O/P336dHz48AEeHh54+fIlAgMDERQUBFNT0591CARBEARBEP8qFU62ZNSoUfj06RN27tyJ1NRUtGvXDn/99ReaNm0KAEhJSZH6fW1tbfz111/YsGEDjh49Ci0tLTg6OpJkCUEQBEEQ/zNUqCpXgiAIgiAIgj8VbsmVIAiCIAiC4Ac5dBx4+/YtxGLxzx5GhUUsFuP79+9S/4iS+fHjB06fPv1f22+Y7hdZcnNzsXHjRrx79+5nD6XCU1BQgIKCAvbntLQ0BAYGIiYm5ieOiiAqPhUuh+5ns2XLFrRs2RITJkwAwzAwNTVFREQEateuDT8/P3Tp0oWzrWvXruHIkSNITEzE3r170bhxYwQGBqJZs2bo1atXOR5F+fPu3Tu4u7vjzp07ch24J0+e/IRRAa9fv8bFixeRnJws0ylkw4YNnO106NABIpFI7mfq6upo3rw5Jk+ejDlz5nC2+eDBA5w8eRLnz5+HSCTC4MGDOe8rQajj+/z5M3x8fHD79m2kp6dLPUABIDY2lpMdIe+XyMhIqKurs/ucPn0agYGBaNu2LWxtbVGzZk3OtoRCLBbjwIEDJX5PISEhnOyoqqri6NGjmDFjRnkMkzfu7u6cfm/NmjWcbb5//x5RUVFIT09H8Uye+fPnc7azaNEi9OvXD3PnzkVWVhYmTZqE79+/Izs7Gx4eHhg/fjxnWxWVjIwMAICGhgYA4NmzZzh//jzatm2LMWPGlLifoaEhLl++DA0NDRgYGJQ4RwHc72EJypw/d3d3rFq1CjVq1Cjz2uJzTT179gzHjx9HQkIC1q9fDy0tLVy+fBlNmjRBp06dONsBFD++sLAwDBo0CKqqqggLCyv1bwwfPpzzeISag4tCDl0xQkJC4OPjAwC4fv06njx5ghMnTiA4OBje3t44dOgQJzvBwcFwcXHBlClTEBERwTb/zs/Ph5+f30916CQXTpUqhQHatLQ0XL16Fa1atUK3bt042bCxsYFYLIaTkxM0NTVLnVj+La5evQpLS0t06tQJcXFx0NPTQ2JiInJycjgflwQnJyf4+vpi2LBh0NfXB1DokF2+fBkLFy5ESkoKNm/eDJFIhNmzZ5do58uXLzh79ixOnjyJhIQEiMVirFu3DuPHj+ctqyPk8Tk6OuLJkyeYOnUqtLS0FD5/Qt0vALB+/Xq248urV6/g7OyMyZMnIyYmBhs3bsTatWs52xLKEXN1dcXly5cxcuTIMh+gZdG3b1/cvn0bkydPVthGUb58+YLr168jJSUFOTk5Up8V7Zwjj2fPnpVpn8+xBgcHw8HBASoqKqyTUtQOH4fu0aNHsLGxAQBcunQJtWrVwpUrVxASEoK9e/cq7dD9+PEDsbGx0NHRYYvt+PDx40ecPXsWCQkJ+P3336GhoYGYmBhoaWlBW1ubk43ff/8d48aNw+TJk5GRkYFZs2ZBS0sLAQEBSE1NLVGlwcnJCbVq1QIAODs78x57SSh7/p49e8Y+40q7tvhcU+Hh4ViyZAn69++P27dvs1H/hIQEnD59Gn/++SdnW8oc3/Lly3Hz5k1oampi+fLlJf6eSCTiFcgQag6WgiGk0NPTY1JSUhiGYZi1a9cyrq6uDMMwzJs3b5hu3bpxtmNiYsKEhoYyDMMwXbt2ZRISEhiGYZgnT54wvXr14j2uc+fOMTdu3GB/3rFjB9OvXz/G1NSU+fDhAy9bZmZmjL+/P8MwDJOZmcn069eP6d69O9OpUycmKCiIk42uXbsyL1684PV3y+LcuXPMmjVrmCVLljCLFy+W+seFCRMmMLt27WLHl5CQwPz48YOxtLRk9u3bx2ss5ubmzIkTJ2S2nzhxgjE3N2cYhmGOHDnCjBo1Su7+t27dYlasWMHo6+szs2bNYk6ePMl8+/aN6dSpExMfH89rLBKEPD4DAwPm3r17Co2jKELdLwwjfZ/s3LmTWbRoEcMwDHPv3j2mX79+vGzZ2dkx3bt3Z9asWcNs376d2bFjh9Q/rvTo0YO5efMmr79dEgEBAUzv3r0Zd3d3JigoiLl48aLUPz7cvXuXMTIyYvr06cN06tSJGTRoEKOrq8sYGBgwY8aMEWS8fBgyZAizefNmJi8vT2lbnTt3ZpKTkxmGYRgrKytmy5YtDMMwzLt375guXbrwtmdra8sEBAQwDMMwYrGYGTNmDNO+fXtGT0+PuXr1Ki9bDx8+ZLp168aMGzeO0dXVZa/X7du3M6tWreJsx8jIiJ0Hjhw5wkycOJFhGIa5dOkSM3z48DL3z83NZa5evcpkZGTwGn9JCHn+hGLy5MnseSs6Nzx8+JDp06cPL1sV8fiEmoOLQjl0xfjll1/YPJebN2+ykbS8vDyZMG1pvH37Fl27dpXZXqNGDWRmZvIel6+vL/v/uLg47N69G7Nnz0Zubi68vLx42Xr06BF69uwJ4P/egG/dugU3Nzfs3buXk4327duzywZC4OXlBRsbG7x79w516tRBvXr1pP5x4fXr1xg1ahSAwiWu79+/Q11dHcuWLcOBAwd4jef27dswMjKS2W5kZISIiAgAQJ8+fZCUlCR3fzMzMzRu3BgXLlzAoUOHMGnSJPbNWlGEPD5NTU3UqFFDqfEAwt0vQGHEOD8/HwAQERGBfv36ASjsBvP582detq5cuYJt27bBzc0NlpaWsLCwkPrHlWrVqqFRo0a8/nZJuLm5IT09HYcOHYKdnR2WL1/O/vv999952dq4cSNMTExw48YNqKmp4cCBA7h69Sr09PSwcOFCQcbLh/T0dEyZMgVVq1ZV2lbjxo0RGxuL7OxshIeHo3fv3gAKI5LVqlXjbS88PJydi//zn/8gKysLN2/ehKWlpdS8ygUvLy/MmTMHZ86ckYqw9+3bl9cS2Y8fP9j7LyIigk2/0NXVlZHmkoeKigosLCyQlZXFa/wlIeT5E4r4+HgMGDBAZnvdunXx5csXXrYq4vEJNQcXhZZcizFixAhYW1ujRYsW+Pz5M/r27QsAePr0KXR0dDjb0dLSwps3b2RC+lFRUWjevDnvcSUnJ6Nly5YACp2woUOHYuHChejbty/MzMx42crOzkadOnUAFE52w4YNg6qqKnr27Il169ZxsuHm5gZ3d3fMnj0b7dq1g4qK9KXUpEkTXmM6e/YsNm/ejJEjR/Laryg1a9Zkw/INGjRAQkIC2rVrh/z8fN4TwC+//ILLly/LfLeXL19mHczs7GzUrl1b7v79+/fH0aNHkZSUhHHjxmHgwIFKTyZCHt/KlSuxfft2eHp6KpWbJtT9AgCdO3fGn3/+id69eyMmJgZubm4ACvM1S2r9VxJCOWILFiyAv78/1q5dq/SSyNOnT5Uej4Rnz57Bw8MDIpEIVatWRU5ODrS1tWFtbQ1ra2uMHTtWsL/Fhf79++P+/fuclxxLY/78+Vi9ejVq1KiBJk2aoEePHgAK58527drxtvflyxdoamoCAG7cuIHhw4dDU1MTo0aNws6dO3nZiouLw/r162W2N2jQQKZlZWno6OggLCwMI0aMQHh4ODvPfPz4kZ2by6JDhw5ISEhAs2bNOP/dklD2/JVHDl3dunXx4cMHmeN7/Pgx73tbyOvz2rVrOHz4MBITE7Fv3z6Fc+OFmoOLQg5dMezs7NCkSRMkJyfDxsaG9aDT0tJ4VSVOnToV7u7u7MWdkpKC6OhobNq0CZaWlrzHpa6uzr6N3b59G5MmTQIA1KpVi/dbmuQNeNCgQQgPD8e2bdsA8HsDLigoQHp6OiwsLKQedAzD8M4lkNjr2LEjr32Ko6+vj5iYGLRp0wYDBgyAp6cnnj59ikuXLpXYOq4kli1bBicnJ9y+fZvNoXv48CFu3rzJOho3b95kHzbF2bVrF9LS0hAUFISNGzfC0dERv/76KwB+eSTldXw7d+5EUlISevfujSZNmsg45FxzzIS6XwDAwcEBVlZWuHLlCszNzdkXn7///ltutLs0hHLEbt26hejoaNy4cQOtW7eW+Z527dqlsG1lKBod0tTUxLt379C6dWvUrFkTqamp//p4+vTpA29vb8THx6N9+/Yy3xOfZPHp06dDT08PKSkp6N27N5vr27x5c96RTKDQ2Xr+/DkaNGiA8PBw9qU1Ozubdx5rtWrV8OXLFxnH4NWrV6zTyAULCwusWrUKXl5e6NWrF1sIFB4eznketLCwgKenJ5YvXw5dXV1Ur15d6vNffvmF83iUPX/lkUM3ZswYbNq0CVu3boVIJEJeXh4iIyPh5eWFiRMncrYDCHd9Fs2Nv337tlK58ULNwUUhYeFyxMfHB/7+/mxURU1NDaamplixYgVvW0uXLoVYLIahoSF27tyJK1euoGHDhrhx4wbc3d1x8eJFzraOHTsGNzc39g04KCgIVapUwcGDB3H58mUcPHiwTBsTJkxA7dq1YWpqKrcoQk9Pj9fx+fj4QEVFRSFnV0JiYiKysrLQoUMHfP/+HZ6enoiNjUXLli1Zx4MPd+/eRUBAAF69egUAaNWqFWbPns3buQCAO3fu4OTJkwgLC4OmpiZGjBiBkSNH8qoCFfL4ylpq4rMsWd6IxWJUqVKF18PX3Nwc0dHRqF27tlKOmL29famf86ksZhgGR44cwZEjR5CUlITQ0FC2002zZs3Y5XQumJmZYdy4cRg7diycnZ3x6NEjzJ49G8HBwcjOzsbx48c52xKCDh06lPiZIi94QuLr64v9+/dDS0sLYrEYf//9N9TU1BAYGIhTp07h2LFjnG05OTkhLS0N27dvh7GxMYKDgyESibB06VL07NkTDg4OnG19/PgRqamp6NChA+u03r9/H7Vq1ULr1q3L3L/od67sS3VFPH+5ubmws7PD+fPnwTAMqlSpAoZhMGbMGHh6evJa8RDq+MaOHYvFixdj9OjRMDAwQHBwMLS1tfH06VOYmprK9JUvjfKYg8mhk4OQpdLfv3/HixcvwDAM+watCO/fv4erqyuSk5MxZ84ctlLOw8MDDMPwKgUHCqNN79+/R+/evdkxXb16FbVr1+ZUMdmlSxecOXOGXQZWlrVr1yI0NBStW7dG+/btZR7efI+vovLt2zcEBwfj1KlTePLkyU990AlBXFxcqZ/r6ur+SyORRkhHTCj8/f3h5+eHhQsXYvPmzTh37hy0tbVx5swZBAYG4vDhw5xtPXz4EFlZWejZsycyMjKwevVqxMbGokWLFtiwYQPat29fjkdS/ty/fx8RERFyJSYUmQsuXryIlJQUjBw5kl2uCwoKQu3atTF06FDOdjIzM7Fw4UI8e/YM379/R/369ZGeng5DQ0P89ddfgudElUZkZGSpn8vLAa6MJCQk4PHjxygoKECnTp3QokWLnzaWLl264Pz582jatKmUQ5eQkIAxY8bgwYMHP21sADl0MhQtlb527RouXLgAbW1t7Nu3D9HR0bxKpf+bmT17NqsXJZS9khCJRJyihpIJrvhEFhkZCZFIVOLyaGl8+PABGRkZMrIXQjgqjx8/5vWCUB7HpywSvb6i00jRaAEfh7U8dJmUJSQkBMbGxtDS0lLa1siRI2FnZ4eBAwdKPQzi4+Mxa9Ys3LlzR4AR80csFiMkJAQvX74EALRu3RpjxoxRqABBCPbu3YtNmzZBR0dH5nvnOheUNxEREayToauryxZucEVIrbaKQFkvUEX5GS9TeXl5MlF6RRg2bBhcXV3Rp08fqXv41KlT2L9/P0JDQznb2rVrF4yNjdG5c2dBxgZQDp0M27Ztg52dHWbOnCmVl2RkZIR9+/bxsnX79m2cO3dOrgisMpPS169fZR52fPIl9u/fX+rnXDSjfvvtN6xfvx6mpqZyiyL4Ojx89MpKYsOGDVi2bJnM9szMTPj6+uL06dOcbT1+/Bg2NjZ49eqVTIRAqCUIvtFeZY+vPERJr1y5IvVzXl4eHj9+jF27dmHVqlWcbEgoF10mJdm8eTM+fPiA5s2bw8jIiP3XsGFD3raSk5PRtm1bme0qKir48eOHEMPlTVxcHMzNzfHjxw+24ODUqVPYunUrdu/eXep9vH//fsyYMQPq6uqCzCkSDh48iDVr1mDWrFmc9ykLoUTez5w5g1GjRqFXr15S++Xk5OD8+fOcNfKK55nl5eXh1atXvHOJlVlNEvL8ffr0SernqKgoVKlShb2m4uPjUVBQgO7du3M4qv9DKCH1Hj16wMDAgL1/9fX1FXKihMyNv379Ov744w+oqKgIMjaAHDoZhCqVPn36NFxcXDBs2DBERkZiyJAhePPmDZKSkhSqQHv37h1cXFwQGRkpdWErki9R3HnKy8tDWloaqlWrBg0NDU6Tr+Rh7eTkJPOZIg5PbGysUhcyUHjzy1tqatu2LV6/fs3LlpOTExo1agQ3N7cK41woe3xFRUmdnJwEOSZ5wqw6OjqoXbs2fH195d5LJREREYH9+/fzyissiomJCQICAlC3bl2YmJiU+rtcE46vXr2Kt2/fIjIyEpGRkVIOnrGxMeeqcADQ1tbG48ePZb6za9euccqZKuuYisL1+JycnGBoaIgNGzawy4XZ2dlwcHCAk5NTqS8Jhw4dwvjx46Gurl7qCxlfYeHMzExe101ZCCnybm9vj379+skUQGRlZcHe3p6zQyfv+xKLxXBwcODs9CgrvCvk+Suak7p7926oq6vLXFOOjo68qpSFFFL/448/EBkZWaITZWhoyMnOwoULkZmZCVNTU4jFYsyZM4fNjZ85cyavMR05coQVuZaM7c8//0TVqlVhaGjIWUKsKOTQFUOoUul9+/bB2dkZU6ZMgYGBAaysrKCtrY1169YplGdhb2+Pb9++wcPDQ2kH4z//+Y/Mto8fP8Le3h5Tp07lZKN4ZEZZ5s6dq/Sbirq6OtLS0mQq0D58+MC7mu3ly5cICgoSLEdQCJQ9vgkTJrD/51slxpdmzZrxlulQVpdpxIgRUFNTY/8vFDo6OtDR0cHEiRPx4MEDnDhxAiEhIQgMDOTl0JmammLdunVsq7y7d+/i7Nmz8PPzkyuFURwhj0nCixcvsHHjRqnvvUaNGli2bBlbSV8SRecReXOKoowePRrXr1/n/YAsCT8/P7i7u2P06NEIDAxkt3ft2hXbt2/nZUvyAl2clJSUEiWMuKKurg5zc3MsWLCAU4W4sqtJ5XX+Dh06BH9/f5lraunSpZg3bx6WLFnCyc727dthYWGBxYsXw8DAAJs2bYKWlhZsbGx4V/X37t2bXRb/8eMH7t69i+DgYPj6+iI/P59XAGLlypUwNzcXJDe+WrVq6N27N9q1a4c2bdrg6tWr+PvvvxEdHa2QPXLoiiFUqXRiYiL75qempsZKi8ycORNz5syBtbU1r3E9fPgQx48fV0iHiQv169fHypUrsWLFCgwbNqzM31ekZU5pREVFSb2pFH2LMjY2xuLFi8u00bdvX3h7e2Pnzp2oW7cugMK8rC1btrD6aFxp164dPn78WKEcOiGP7+LFiyU6CH/99RcWLVrEyU5xwV+GYZCWlgZfX1/e352yukxFq8KEqtJ98OAB7ty5gzt37iA2Nhb16tWDkZER3NzceCedT5o0Cfn5+fDx8cH379+xevVqaGlpwdHRkVOFa3lUHrdq1Qqpqalo06aN1Pa0tDReyeel5Sh9+fKFvV650LhxY+zYsQOxsbFyC6T4RPsAYUTeJdFRkUiEWbNmSVVYFhQUIDk5Gf379+c1Lnl8+vQJ2dnZnH5XSOFdIc9fVlZWideUvL7fJVGakPrixYt5Xwfp6ensvXz79m28f/+efb7wpXr16ujcuTPv/Ypy/vx5REZG4s6dO0hJSYG+vj7rjCuipACQQyfDihUrYGdnh0GDBoFhGIwePZotleb6ZgEU5rRJnLiGDRsiPj4eHTp0wOfPnxXKl2nWrJlMv0ahKSgo4CyOKWSTYuD/3lQkb1EJCQnYuXMnQkJCEBERwcmhs7W1xaxZszB48GB2afLZs2fQ1NRk+41yZeXKldi0aRNWrFghN0eQT85iUZTpIynk8dnY2OD69etYs2YNq1/1/v17Nm+Qq0PXs2dQGF4yAAAgAElEQVRPmYgFwzBo3Lgx7zEJqct0//79Epduz58/z1kiZOrUqdDQ0GCja3ylb+TZmzp1KjIyMsAwDC/tsvJgxYoVcHd3x7Jly9jv6/79+9i5cyesrKykHPbSrvmpU6diy5YtMk5gREQE7OzscO3aNc5jCgwMRI0aNXD37l3cvXtX6jO+y7eAMCLvkpcfiRNV9IVDVVUVTZs25TXnFc9Zk7wIhYSEcHYMhRTeFfL8jRgxAvb29li9erXUNeXt7c3rOxJSSH3UqFFITk5mnSY3Nzd07dqVjehzRage0UBh2pJkbpk5c6aMjqAiUJVrCShbKm1lZQVdXV2Ymppi586d8Pf3x+DBgxEREQF9fX3eof6IiAjs2bMHLi4uvBX4i1PcGZNMJocPH2Z1scqiJF0fycOdbw5d0benyMhIpKSkoHPnzjA2NmaXYLnw/ft3hISEsH+/U6dOGDNmDO+bRSiNJzs7O3Tu3BkzZ85ETk4OJk2ahPj4eKiqqvLOMQOEO76nT5/C2toaubm58Pb2RmJiIlxdXaGvrw9PT0/Ur1+fk53i0glVqlRBvXr1oKOjwzsfUkhdJj09PSxduhRLlixhz19WVhbWrl2LsLAw3Lt3j5MdHx8fREVF4eHDh9DR0ZG6Hrm2pBOK8sihk3edSx4JRX8u65pftWoV/vnnH9jZ2WHatGnIzc3F5s2bERAQgIULFyokCCwUe/bswenTp+Hu7o4FCxZg9+7dePfuHby8vGBpaclraTcoKAijRo2Curq6UmOStPqSUKVKFWhoaKBnz55YtGgRpzaBmzZtQkxMDLZu3YpRo0bh1KlTSEtLg52dHSZOnMjrfhHy/P348QOenp44deoUm69YtWpVTJ48Gba2tpznqqVLl2LAgAGYNm0aNm7ciLCwMIwfPx6XLl2CpqYmryLFAQMG4Nu3b+jevTuMjY1hbGwMXV1d3qlL9vb2uHz5MkaOHCk39YnPdx4YGIjIyEhERUUhMzMT3bt3h5GREYyNjdGpUyeF0qrIoSsnPn/+DLFYjIYNG6KgoAB+fn6sCOySJUs4t3eRYGBggNzcXOTn50NNTU1GVJGPpENxZ0wkErGTia2trUISDZLqRklUi2/SaocOHaChoYFp06ahd+/e6NKlC++3JyERSuOpb9++bLXg33//jY0bN7KCppcuXZLK6fm3EYvFcHV1ZcVRV69ejTlz5vy08QjJ9evX4eDgAB0dHWzatImNPtaqVQve3t5yq01LQ5J3c+fOHURFReHBgwdo2bIlgoODOdtQVpaFT99Rrg+Wsq7zopR1zZ85cwZubm7o0aMH3r9/j69fv2Ljxo28KxvLAyFF3isKQgrvAsKfv+zsbCQkJAAo7PLBNz9WaKH4hIQENmAQFRWFrKwsdOvWDT179sS8efM42TAyMsLWrVt5y9RwHdutW7dw6dIl1KxZUyEZI3Lo5HD+/HlW1LL4pMtFYT4vLw/Hjx/H0KFDFZI3kEdQUFCpnxdNeP+ZxMbGsk4CH6ytrREdHS31FmVkZFTmW1RYWBgGDRoEVVVVwZeBhaBz5864dOkSGjVqBEdHR9SuXRt2dnZISkqCiYmJzJJSccrz+O7fvw8rKyuoqqri/fv3GDJkCFxdXTlFB4oipBC3WCzGP//8g4SEBEyfPh116tRBQkIC6tSpw3uZOyMjA/b29oiOjoZYLMbMmTNhZWWl0IvCx48fERkZidu3b+POnTt4+/YtGjRogBs3bnC2sWzZslJlWSrKPawMmzZtwt69e6GiogJ/f3/OzkB59AItjqIi70LL/eTm5mLgwIHw9/fn/WIhDyGFdxU9f0Xx9/fH+PHjFU5LKW/y8/Olipv4FEX0798f/v7+aNWqlSBjKSgowMOHD6XydHNzc6Grq6tQtxfKoSuGl5cXDh48yIqJKhL2VFFRwaZNmzBw4EDBxiXUZJ+bm4sZM2bAy8tLsIuyKHXq1EFiYiLv/by9vQFIv0UdOnSIDUWX1ER7+fLluHnzJjQ1NbF8+fIS7XNZJo2Li0PHjh1RpUoVwTogKNtHUsjjK4qvry927drFOjlJSUlsU3c+b+XKSicU5e3bt5g/fz6ysrLw7ds3/Prrr6hTpw6OHj2Kr1+/wsPDg7MtoPA7/vz5M1RVVSEWi1GtWjXeUQsXFxdERUXh9evX0NTUhJGREebPnw8jIyPe94+ysizyePjwIRITEzFw4EDUqFED2dnZUFNT47zcLdR1npGRAQcHB8TGxsLT0xORkZEwMzPDqlWrMHfu3DL3L49eoMVRNJFdaLkfVVVVqKioCCaF1Lx5c865gCWh7PkryoEDB7B582YMHjwYU6ZM4V2wVR4UL27KycmBrq4uey9zRage0RJbd+/ehVgshq6uLoyMjDBv3jx069ZN4Wp/itAVo3fv3nB2dsbIkSOVsjN37lzMnDlTqajQ58+f2bec4tWExeHzNtSrVy8cOXJEqQrO4g8CSR7enj17ABRq7CiC5I1FEgmRLAk9evRI4bFypUOHDqzzJK8DggQ+zpOQfSSFpG/fvvD09JSabPPy8rB161b4+/tz/r6nTJmC8ePHs9IJEuX0R48ewdzcHOHh4ZzHtHjxYmhpacHV1RXdu3dnbUVFRbG5K1yRLB/17t0bbm5ueP78OWxtbaGhoYHNmzdzjmKsWrWKzZlT9gVo2LBh+PPPPwWJynz8+BFLly7FgwcPIBKJEBYWBm1tbTg7O0NNTY1zFEuoTh99+/ZFixYtsHHjRnYpLCwsDE5OTtDT01NIU0sZZs+ezfmB+zM6T+zZswfPnz/Hhg0blNLeVHY1SYKQ549hGISHh+P06dO4cuUKNDU1MX78eEyaNEmmgKM45SF+DhTm1Orp6aFHjx4wMjJS2GkSqkc0UCharsxY5EERumLwVeouialTp8LLywvJycnQ09OTSQTl8ubbq1cvhIeHQ1NTU241IaCYsPD48eNx4sQJ2Nract6nOJMmTZLr8HTt2pWTplZx9uzZg8jISMTExCAnJ4e9+ebPn885Hy8qKgoGBgYyN1l+fj5iY2PLbI115coVaGhosP8XAgsLC7Rt25btIylZ7lNRUcGCBQs428nNzYWNjQ1WrVql9Ns4UCi2KjlWCSoqKrC2tuZVqCGkdMLdu3dx/PhxmSha48aNkZqaysvW2rVrpXQVjYyMEBwcDGdnZ0yYMKHMpW4JW7Zs4fV3S0NZWZaibNiwAZqamrhz547USsDIkSPh5ubG2Y5QnT5mzJgBc3Nztsk8UJgC0KVLF15toYDCfsclabolJibK6DDKo6i8U35+PkJCQlC/fn02OvrgwQOkpaXxFnnPyMgAAPbeefbsGc6fP4+2bdtizJgxnO3ExMQgMjIS/fv3R9u2bWWeD1wcAyFWkyQIef5EIhH69euHfv364fPnzwgJCcHp06exe/duGBsbY/LkyRg5cqTcaHnRaKizs7PCx1OcyMhIQZymevXqcZL14oKVlZUgdopCEbpi+Pj4QEVFhXcbj+KUVAUKcI/wREZGwtDQECoqKoI2YnZ1dUVISAiaNWsGXV1dmQudy9v9u3fvpH6WVGkpWv01bdo0NhKi6BtLx44dWQe4KJ8+fULv3r0Fadf1M+nRowdOnz7N6YHGhZycHAQHB7M9PNu0aQMTExNeOWYDBgzAli1b0K1bN6kI3cWLF+Ht7Y1Lly5xtmVkZITDhw+jbdu2UraioqKwYsUK3Lx5k7Ot169flxiBPnv2LMaNG8fZ1tOnT7Fv3z68ePECIpEIbdq0gZmZGSdNyOKVqUlJSSgoKFBalqV3797w9/dHu3btpL6rxMREmJiYcK7iLYnw8HD4+voqFEHOysqCSCRS+AE6aNAgbNy4UeYF7OTJk1i/fj3vnr7r169HQUEBHB0dpZweDw8PMAzDKydv9uzZGDduHCZPnoyMjAyMGDECWlpaeP/+PZYtWwZTU1NOdspykri0tRJqNak4yp6/4sTGxuLkyZMICQlBo0aN8PXrV1SrVg2enp4ldunIy8vDzZs3oa+vL2g1eUREBF6+fAmRSITWrVujZ8+egtlWhKtXr2LPnj1Sc8vChQsV7pRCEbpifP36FaGhobh586ZcUUuuN78QEZ6iThpfEdPSePnyJZusXjzfjetbntDCwookgBanJBX3z58/85b1CAgIQO3atWUe/GfPnkVmZmapUgflVcgwbNgwhIWFwczMjPM+JfHixQssWLAAmZmZrGMSGBgIX19f+Pn5cWpFBQgnxA0Affr0wf79+6UivJmZmdi+fTvvCU7izMmbwPk4c1euXIGlpSW6devG6oPFxMRgwoQJ2LFjh4z8RHHKo7sDUFh1Ky8H89OnT0pLagCKdfo4fPgw9uzZgw8fPgAAGjVqhAULFvDu+DBmzBjMnz8fpqam+P3335GZmYk1a9bg5s2bcHBw4GULKLxnjx07JjM3zJgxA9OmTePl0D1//pwVfb148SKaN2+OU6dO4fLly9i0aRNnh06IBvVCrSZJEOr8AYUpAUFBQTh9+jSSk5MxbNgw+Pn5wdjYGGKxGH/++SccHBzwzz//yN1fRUUFFhYWuHDhgiAO3YcPH7B06VI8fvyYVXFITU2Fnp4efH19BSte5ENgYCDWrl0LExMTtmVcTEwMli1bBldXV0yePJm3TXLoivHixQs2uvbq1Supz/iEtIV2ePbt2yd3shCLxVi/fj3Wrl3L2VZpffv48P79e0RFRSE9PV1m6ZWv+CdQOAkcPnxYKmI0Y8aMMjXRzM3NARSeHxsbG6kHXUFBAeLj43m3ijlw4IDcJPymTZvCwcGh1EmuvAoZmjRpgp07dyI6Ohp6enoyb9B8vnMPDw907NgRmzZtYpc4MjMzYW1tDQ8PD84aT0IJcQOFmn1z5szBiBEjkJOTg5UrVyIhIQGamprYtm0bL1sfPnzAsmXLEBcXp9QEvnXrVpibm8ucx23btmHr1q1lOnTl0d0BKIzWBgUFSS2L5ufnY8+ePbyiDkJ1+ti1axd2794NMzMzNkUiOjoamzdvRlZWFmehaqBwKapv376wtbVFeHg40tPToaWlhaCgIIU0OBmGwfPnz2WO5/nz57xt/fjxg73vIiIi2POvq6uLlJQU3vaUYdq0aQgODlZ6NQkQ9vxJcmdbtmyJ3377DePGjZPqNKGuro45c+Zg9+7dpdrp0KEDEhISysy744K7uztUVFTYXFOgMJhhY2MDDw8PzrqwykoPFWXPnj2ws7PDrFmz2G1TpkyBrq4u9uzZQw6dEAjl7ACFTbePHDmCxMRE7N27F40bN0ZgYCCaNWvGqyE0UNiOKTw8HF5eXmjQoAGAQkVwKyurn9I4Pjg4GA4ODlBRUZHJxVJEzT0mJgYLFixA/fr12TfgkJAQ+Pv7Y+/evaU6ZJI3OIZhUKdOHVSrVo39TFVVFd26dcOUKVN4jef9+/dydY4aNWqE9+/fl7pv0cgG3yhHaZw+fRp16tTBs2fPZCoB+X7nkmWQohIltWrVwsqVKzFt2jRONgoKCvD27VusW7cOK1asQFxcnFLSCQ0bNsTZs2cRGhrKyjBMmzYNJiYmUueUC+7u7qhatarSE/ibN2/kRvTGjRsHPz8/XmMaMmQITp48KRNx+Pr1KyZMmMArqm9jY4NZs2bh4cOHyM3NhZeXF+Lj45GZmYmjR49ytiNUp49jx47Bzc1NKo+sV69e0NHRgY+PDy+HAAAbET1x4gRUVFSwdu1ahQXVJ02ahDVr1uDt27dSnQv8/Px4R5F1dHQQFhaGESNGIDw8nI2Wf/z4sUxtURMTEwQEBKBu3bplikRzWX4XajUJEPb8aWhoICAgoNT2VRoaGmVe7xYWFvD09MTy5cuhq6srs8rCpxDw5s2bOHTokFS6ira2NhwdHTlr0AGAo6NjqdJDfEhOTka/fv1ktvfv3x9eXl4K2SSHrgQyMjKQmJiIjh07KqRbFRwcDBcXF0yZMgURERFsSX5+fj78/Px4O3Rnz56Fra0tTExMsG7dOrx58wbbt2/HxIkTOS1DmJubw9vbG7Vq1WIjWiXBJSF3+/bt7JIIXykIeWzcuBFjxozB2rVr2cTcgoICuLi4wMvLq9RcHsnyRdOmTWFqaipI7keDBg3w9OlTuW11+CwBKFuoURQhG2irq6vj69evMtu/ffvGeclOJBJh/PjxOHfuHHR0dATJ7atWrZpCb6bFEWoC19TURFxcnIwzERcXx7mbhoR3797JvNEDhbmMkmUurrRp0wYhISE4evQo1NTUIBaLMXLkSMycOZOXMHjxCk9FO32kp6fLlQTR19fn3E5QwuvXr2FlZYUvX77g0KFDiIyMhIWFBWbMmAFra2ve87GNjQ00NDRw8OBBtsilQYMGWLhwIeclUgkWFhZYtWoVvLy80KtXL9ZBDA8PL3P5c8SIEezYhw8frvSLuFCrSYCw549LUZxIJCpzFUvS7tHCwkKpbj1F/yaXbaUhpPRQkyZNcPPmTZm5JTw8XOEVPnLoipGZmQkHBweEhYXJyAE0aNCAc3jbz88P7u7uGD16tFQ3gK5du/Ju+wUURi/8/f3h6enJOlE+Pj6cK26KOiFC5CSkp6djypQpgjhzQKE8woYNG6SqrKpUqYJ58+Zx1uATcnlrzJgxcHd3R/Xq1dn8xTt37mD9+vW8WjDNmTNHbqHG169fMWfOHIULNT5+/AgNDQ2p74sPgwYNgpOTE9vTECisMnVxcSlzGVGCSCRCy5YtkZGRoXQ7OqBQaqQk1NXVoaOjw0uoWIgJfMqUKXB2dsbbt2/ZKHFsbCz27dvHOZexaB7l1atXpSo48/PzERERodAE3qBBg1KX9LkgVG5uixYtEBISInMPhoaG8pZHmjBhAoYOHcqKXPfo0QN9+/bF6tWrERERwat4BCicRxYuXIiFCxciMzMTAHiLZ0sYPnw4rl69itTUVKnCt969e5eZD1v0uxFimVTI1SQhzx8gTLK/kHIyvXr1gpubG7Zs2YLGjRsDKIyQrV+/nldwRVNTU7BiEVNTU7i7u+Px48dSc8vZs2fh5OSkkE1y6Irh7e2N1NRUBAUFYcaMGez2QYMGwcfHh/ON+PbtW7kh5xo1arCTCl8uXryIoKAgGBkZ4eXLl/D394eenh57gZZG0SRcIRJy+/fvj/v37wtWcVm7dm0kJSXJaH0lJSWVupQh9DKGBEtLSyQlJcHMzIx1WgsKCjBy5EhefQ2FLNTIzc2Fj48Pjh49CrFYjIsXL0JbWxubNm1CkyZNeCUvOzo6wtbWFjNnzpQ6vsGDB/OSKbC2toaXlxdcXFxYTTNFWbt2LXJzc5GXlycVpZVEivLy8tCpUyf4+fnJLPMXR6gJfOnSpahZsyb27dvH5vFpaWnB0tKSc5s0idMlEong6Ogo9ZmKigqaNm0KOzs7zmOS8P37dzx58gQZGRkykT8+xTaK5q4WxdLSEitWrEB0dDQMDQ0BFD6coqKieOc/rl27VmaZu0uXLjh9+rRCkkhFUdSRK0r9+vVlvhu+ERsPDw+MGzcOenp6Co8jKSmpxPyy2NhY9jxwQcjzJ1Syv5CFgGvWrMGSJUswdOhQqZzadu3a8VqaFlJ6aPr06WxPWokaQKtWrbB161YMHTpUIZskW1KM/v37w9fXF/r6+lJyAAkJCRg3bhxn/aphw4bB1dUVffr0kbJz6tQp7N+/H6GhobzGZW9vj3PnzsHKygpz585llb1jYmLg5OTES0/J398fJiYmMlEjPpw4cQJ//vknxo0bh/bt28ssz/AVVPbw8MDff/8NGxsbqbcVb29vjBo1qkQnw9fXF2ZmZqhevbqgzd0lvHnzho2idezYkXNumGRZ+9q1a+jdu7fcQo1WrVrxEuz08fFBWFgYrKysYG1tjZCQEFYiZM+ePTh58iT3A/v/vH37ln2Qt27dmnekzcDAADk5OSgoKEDVqlVllsP4JAlfu3YNf/zxB+zt7dnln4cPH8LLywtLlixBw4YNYW9vjzZt2mDTpk2l2kpJScGSJUsQHx8vM4Hv3LkTjRo14nWcAJSO7gwePBgnT54s0xnlwq1bt7Bq1Sq5guN8lqPk5a7eu3cP6enpZeauFufRo0fw9/dnl/9atWoFU1NT3u3fJIjFYrx9+xYikQjNmzfnVb1bXi96QOGS8MWLF5GcnIzc3Fypz7i+LE+fPh337t1Dy5YtMXbsWJiYmPBO/u/WrRucnZ2lnN+CggLs2LEDe/bs4S3GLtT5Gz58OObMmSOV7A8URhQDAgJw8eJFzraEbCvIMAxu3brFHl/r1q1592Q1MTERTHqoPKAIXTG+fv0qd0kyKyuL1/Li1KlT4e7uzvYlTElJQXR0NDZt2qRQuP3Ro0cIDAxE+/btARQmle7atQtHjx6Fi4sLb4fO29sbxsbGGDduHIYNG8Y7WiQRfZRXqaRIfoONjQ0YhoGDgwPy8/MBFEYvfvvtt1IFGIs6aeVRUdiiRQuFEvzLo1Dj3LlzWL9+PYyMjKQiYW3btsWbN2942ZI4wjo6OlJO3I8fP+Dn58f5uxRS/NPT0xOenp5S0Q4DAwPY2dnB3t4eFy5cgK2tLVavXl2mrcaNGyMoKEjpCbwoykZ3hMyB9PDwwMCBA7Fy5UqlJBeUyV0tjp6eHtvCTxny8vKwefNmHD58GLm5uWAYBmpqapg1axZWrlzJqWVe0Xw1IaVjrl69CktLS3Tq1AlxcXHQ09NDYmIicnJyOAugA4VFCImJiQgJCUFISAi2b9+Orl27YuzYsRg1apRUVWhJ2NjYwNXVFdevX8fatWuRkZEBa2trvH//Hn/99RfvYxPq/AmV7C9kW0Gg8LnUp08f9OnTh9d+RSkvGaKvX7/KRNkV6YVLEbpizJ49G0OGDMG8efOkImsuLi5ITk5mW1txwcfHB/7+/uyFqKamBlNTU6xYsYL3uHJyckpMBi5NRFUeDMPgzp07CA0NRVhYGHJzczFkyBCMHTsWffv2VTgvSwi+f/+OhIQEAIU9Cvk6mkIhVINwX19fwQo19PX1cf78eTRr1kzq2oyPj8fUqVM5R4+BiinCrK+vL/XSIuHp06eYOnUqHjx4gKSkJIwZM6ZM4dwzZ85g1KhRMvdMTk4Ozp8/zy4FlYWQMgWAcEKiXbt2RXBwsNJdQ/T19XHmzBmZVIeXL19iwoQJePDgASc7Ql5PGzZsYFcjikpobNmyBSYmJkp1uFGWiRMnYsSIEVi8eDF7D2ppabErC4rINQGFRTahoaE4d+4cPn/+zPl7f/nyJWxsbJCRkYGvX7+iT58+cHNz4+0MCHn+hg8fjnnz5kmlLAGFOncHDx7kHKETsq0gUFjZLGmTVtzt4bPsKhTv3r2Di4sLIiMjpSK9ihZ9ABShk2HlypUwMzPDixcvkJ+fD39/f8THx+Phw4cICAjgbcvc3BwvXrwAwzBo3bq1wuvuampqJea68E1aFYlE6NmzJ3r27AlnZ2dcvXoVoaGhsLS0RO3atXnfKEJSvXp1mQd6afApUOATDi8uC5KXl4dXr17xFvMUMmrYpk0bREdHyyzNXLhwgXMTdQkl5fY9efKEU3RAgpA9hvX19eHp6YmNGzey0jxpaWnYuHEjG7V7+/Ytp4iUvb09+vXrJ/OAysrKgr29PWeHTkiZAiGFRA0NDfH69WulHTpFc1eLU1JcICcnh1NErSihoaFYv369lJPbvHlzaGhoYM2aNbwduvj4eOTn58t073n69ClUVFTQpk0bzrZev36NUaNGASiMtH///h3q6upYtmwZFi9erLBDl5eXh5ycHOTm5vJaCdLS0kLTpk3x/PlzMAyDfv36KRTZEfL8CZXsL2Rbwb1792LTpk3Q0dGRqQJX5J4uKljepk0bGBsb87Zhb2+Pb9++wcPDQ+m5RQI5dMUwNDTEsWPHsG/fPjRv3hwRERHo1KkTjh07xsvRkFC9enW55eB8UUanrTTU1NTQtWtXJCUlIT4+Hq9fvy7xd/fv348ZM2ZAXV0d+/fvL9Uu34lNLBbjwIEDJUZCSnLGyisELq+CTCwWw8HBAd27dy913/LK37GwsICNjQ1SUlJQUFCACxcu4PXr1wgJCeG8xCJpeC0SiTBkyBCpSaSgoABisRjTp0/nPKaSegxL4POW6e7ujmXLlmHQoEFSeW8tWrTAH3/8AaAwgstFsLgkhzUlJaXEPqHyEFKmQEgh0enTp8PLy4vNCyyey8PVwR81ahQcHR3l5q6OHj26zP0l84BIJMLRo0elXljz8/MRHR0t4yyWxbdv3+QWW2lra8uV2ikLJycnzJw5U8ahe/nyJQICAnjp9tWsWZNdcWnQoAESEhLQrl075Ofn83YyJPduaGgokpOTYWxsDFtbW875x1FRUbCxsUGDBg1w7tw53L17F+7u7rh27Rrc3d05qRmUx/kTKtm/bt26+PDhg1zpKL45sAcPHsSaNWtk8vr4IpRgOVCYH3z8+HFOLQS5Qg6dHNq3b6+QsF9Z+m5F4aL1VhQhc12AwgTvixcvIiQkBFFRUWjevDnGjBlTai7eoUOHMH78eKirq5daMq+IsLCrqysuX76MkSNHsk4HF8pLiV8e6urqMDc3x4IFC/Dbb7+V+HtC601JGDx4MLZu3Yrdu3ejSpUq+OOPP9CpUyfs2rWLc26Ys7Mzm6u4cuVKKedGVVUVTZs25fVyUFxaQNLc/ejRo7xTC1q0aIHQ0FCEh4ezLxatWrVCnz592O+wrAeCxIEWiUSYNWuWVLSjoKAAycnJbAsvLggpUyCkkKikclZexIPPco2iuasSJPMAwzA4efKkVLqGqqoqmjVrxquLDVDYIeDQoUNwcXGR2n7w4EGFWl09e/YM+vr6Mts7d+7Mu1uEvr4+YmJi0KZNGwwYMACenp54+vQpLl26xOu+mThxIp48eYKOHTtixowZGD16NBuV5sr8+fNhZmYGS0tLqKioQEdHB926dcPq1blVhzEAACAASURBVKthYmLCaaWlPM4fUFgUqGwTeyHbCmZmZircH7UoQgmWA4Xt9XJycpQeU1Eoh64YycnJcreLRCKoq6uXWqHGR+6Br3SIULkuQOHD4Nq1a6hVqxZ+/fVXjB07Vu6E929iZGSErVu3KpW0LiExMZHNUWrdurVg0ioAEBkZiWXLliEqKkowmz+DyMhIGBoa8hKP5cPFixcRGBjIu5uCskgqnX19fTF//nypiIPEYR0+fDhncdrz58/jwoULgsgUCJVbBBTm35QGF107SQP0zp07o3r16krlrs6ePRu+vr68lutLIioqCosWLYKWlpZU5W1qair27NlTZoS8ON27d2clnory8OFDzJ07l1ceZGJiIrKystChQwd8//4dnp6eiI2NRcuWLWFnZye3u4w8fHx8MHbsWM49k+URFRUlV5i8oKAAu3btwtKlSznbEvL8SZAsSwKFBUl8xfRzc3NhZ2eH8+fPg2EYVKlShW0r6OnpyWtp2tnZGe3bt1eoL21RDA0NcejQIZkI+MOHDzFv3jzExMRwthUREYE9e/bAxcVFEB1PgBw6GcrS0qpVqxYmTpwIGxubcnsYyqNPnz7YsGGDTHTh2rVrcHR05JX3ZmVlxRZACCUMrCz9+/eHv78/7/B+UYqKQkveNBmGwfDhw+Hh4cGrSrH4krKkx2VISAiMjY2xefNmTnbmzJkDX19fmXykzMxMLF26lJd4ppCto8qbhIQEjB07tsziheIIlbgcFBSEUaNGKd2oXkiZgmPHjsHd3R3jx4+Xm1vEteWakHTu3BkXLlwQpF+mhKysLIhEIqUimx8+fMCRI0ekJDRmzJihUEXvkiVLULVqVWzbto2d7/Ly8vD7778jLy+vzJ6iEiQOsL6+viDi7BKU/b6U7WokNImJiVi+fDmePXsmIxm0Y8cO3i/YiYmJSrcV3LlzJw4cOIA+ffrIbZPGdUXJ0NAQAQEBMpIpjx49wty5c3k5dAYGBsjNzUV+fj7U1NRknsV8C64AWnKVYcuWLdi0aROmT5/ORq0ePHiA48ePw9LSEl+/fsXOnTtRs2ZNTirtymgpFUXZXJeicHVGilNW3lxR+C65LliwAP7+/li7dq3CS5QeHh549uwZDh48KPUdubi4YP369bxESYsvKVepUgUaGhqYOHEir76GxSuYJIjFYl43PyBs66jyJCsrCwcOHOCd5yJk4jLX7iJlIWSOptBCok+fPsW+ffukKmbNzMx45eQI2QD98OHD2LNnD3stNmrUCAsWLOAdFUlOTkbjxo2xcuVKuZ9xjYJJsLGxwYwZMzBs2DC2ajYmJgbZ2dk4fPgwZzsqKiqwsLDAhQsXBHHolP2+SutqpKWl9a+moxTF0dERNWvWZPXigMLzZmtrC0dHR84vsRJpJW1tbSknkK+0ElBYkFSjRg3cvXtXRg2AT4qQUILlQGG6hNB92ClCV4zZs2dj9uzZMompYWFhOHjwIAICAhAaGoodO3aUukSSm5uLLVu2KKWlVJScnBxs3LgRx44dk8l1UaS/4ZcvX3D9+nWkpKTIrOOXdKPwaQnFN1pkbm6O6Oho1K5dG61bt5aJhHDJOTQ2NsYff/whsyQTFRUFCwsL3Llzh9eYlCEuLg5AYWPwffv2SS1l5OfnIzw8HCdPnuSkTSZpHbV8+XJ4eHjIbR11584dXkt2QlE835FhGPz48QPVq1eHt7c352sGAAYMGICFCxcqnbgMFN4vu3btwrlz55CcnMz2UpYghCxLbm4u7/tYKK5cuQJLS0t069ZNykmJjY3Fjh07OH/v165dw+bNm5VugL5r1y7s3r0bZmZmUlIj+/fvh7m5Oa+XoPKQ1ElNTcXhw4elRMIVifhNmTIFK1euVDo1RIjvy9XVFU+fPoWLiwtmzJjBynr8888/8PHxQXBwsFJjVBR9fX2cOHFCpgjlyZMnmDZt2k+RwhEKIQXLCwoKSpQIy8zMVEj3kiJ0xbh//z7c3Nxktrdt2xYPHz4EUKgB9f79+1LteHt749y5c1i7dq2MlhLDMLxL79XU1LBmzRpYWVkprdN27949LFq0CGpqavj06RMaNmyI1NRUqKmpoWnTpiU6dEIKoxanXr16SifR/vjxQ+4DqG7dumxl2r/FpEmT2GpSeQ3Aq1WrxnkJsbxaRwlBcWFhkUgEDQ0NdOnShXc+jlCJywCwbds2XLhwAYsWLcKGDRuwevVqvHv3DufOnePVum3r1q1yiztycnKwfPly3sVNQrF161aYm5vLrBJs27YNW7du5ezQCdUA/dixY3Bzc8OYMWPYbb169YKOjg58fHx4OXQlVShnZ2crvMKhpaUlN+LHFwsLC3h6eirtAAvxff3nP/+Br6+vTKFI69atkZiYyGkc5UHjxo3x48cPme1isZhTm0oJQkkrAYWrbCXliZ89e1am1VxJCClY7ujoKDeX/tu3bzA1NZXqAc8VcuiK0aRJExw/flzG4Tpx4gR7MWZkZJR5QQmtpWRvbw9HR0fUqlVLSj4lOzsbbm5uvIosNm7ciLFjx8LR0RGGhoY4cOAAqlevjlWrVvGSThASIfrLGhoaYtu2bdi4cSM70WZnZ2PHjh2cKtCELGq5cuUKGIbB0KFDERgYKFVMo6qqCk1NTc75i0+fPgUgXOuo3NxcDBw4EP7+/mjbtq1StoRa2gSA0aNH4/r160onLgOF2nyurq5sBemQIUPQvHlztGrVCrdu3eIszSL5vov2bc3JyYGlpWWZL3XlyZs3b+Q+hMaNG8erEEWoBujp6ely5Zn09fXx8eNHTjYkYt4ikQibN2+Wcpby8/Px4MEDmahPScTFxaFjx46oUqUKGy0vCT4ajkI5wEJ8X0J1NRIaOzs7uLu7Y82aNejcuTNEIhEePHiA9evXc3ruCS2tBBSet4CAAJkilDNnzsDV1ZWzQwfIdpyQl1LDhXv37sHLy0vqO/n27Rvmz5/PS1qpKOTQFcPOzg6Wlpa4fv06e8M9evQICQkJ2LFjB4DCipZff/21VDtCaymdOXMG1tbWMmHYHz9+4OzZs7wcomfPnsHDwwMikQhVq1ZFTk4OtLW1YW1tDWtra05txITWoTt+/HiJSeHOzs5Yt25dmTbs7e1hZmaG/v37s07v8+fPUa1aNU49Uz99+iT1c1RUFKpUqcLmJMXHx6OgoIBTlZ2kylDijAmBUBFSVVVVqKioCJ6/kZaWJjO58cl3aty4MXbs2IHY2FilEpeBwgemRDC2Zs2a7D3Xr18/Xu2N/Pz8MGfOHPzyyy8YO3YscnJyYGFhgffv3+PAgQOc7QiNpqYm4uLiZKrj4uLiZBrHl4ZQDdBbtGiBkJAQmeh+aGgoZ+FziZg3wzB4+fKl1PlXU1ODrq6u3Gi3PCZNmoSbN29CU1OTjZbLyy7iq8gvlAMsxPfVuXNnXLlyBfPmzZPafuzYMU4vsCUpOsijrPu4eOpFTk4OfvvtNymJrapVq8La2rrMZH+hpZWA/5N4OXbsGLssKnHmfHx8ONs5ePAgGjZsyObWOjg44MyZM9DW1sbOnTt5FfXt3bsXM2bMQL169bBo0SJ8/fqVdea4FuoUhxy6YgwcOBBhYWE4cuQIq4U1ePBgTJ8+nb2ouUQQhNJS+vz5MxiGAcMw+PLli4yu1tWrV2VyDMqi6ESpqamJd+/esV0sUlNTOdkoXjSQl5eHtLQ0VKtWDRoaGrwdOm9vb/zyyy8ySejOzs64ceMGJxvt2rVDWFgYQkJC2HD4uHHjYGJiItVLtSSKLp/t3r0b6urq2LBhA1t9lp2dDUdHR95CkHl5eXjw4AFSUlJkHB6uHQskCFUFOmvWLOzevRsbNmxQqlr727dvcHd3x4ULF+S+qfJ5WAqVuAwUOoepqalo0qQJmjdvjvDwcOjp6eHevXucrgUJHTp0wJ9//onFixdDXV0dp0+fxocPH3DgwAFBKx35MmXKFDg7O+Pt27dSBUD79u2DmZkZZzslye+IRCKoqamhefPmnJYRLS0tsWLFCkRHR8PQ0JAdT1RUFLZt28ZpLJI5pehqhKJcufL/2PvygBrT9v/PKYoGM2qkokKyRe/IjC2TbKOhRBNDkiVrCy2SUrK1k0oma0LEkKhIxAxKKnuKJLShlLV9O78/+p7n11mq5znnPtXr7fMXp87tcZbnvu7r+izXqE42SfU3qQKYxOslaqrR5MmTaR/qWvoek8x05nT9ORGHJHiqK1euxMePH7FkyRKcPHkSN27cwJYtWxAQEABdXV3a6xw/fpwS16WmpiI2NhY7d+7ElStX4O3tzagQU1JSwuHDh7Fw4UJ06tQJFy9eRI8ePbBv3z6h1codoggxgZSXUks2KiwWC9bW1rTc8zkwNzeHoaEhZs2ahc2bN+PJkydYtGgRoqKiUF5ejtOnT9NeqzGKi4vh5OSEefPmMebDJSUlwcrKCkFBQZRayNXVFQkJCTh27BhRLzk6mDBhAkJDQ/ligbKysrBkyRIkJibSWic7Oxtr1qxBfn4+2Gw2JCUlUVtbi06dOkFKSoqRNL0lFSiT7sHq1auRkpKCLl26QF1dnY8LRJcb5uLigrS0NKxfvx7W1tbw8PBAYWEhjh07BkdHR+jp6dG+JpLYtWsXZGRksGbNGly+fBn29vYUV9Tc3Jwxn+rff/+FlZUVBg4ciNDQUKHilUiCzWbj6NGjCAkJoQ5h8vLyMDc3h5mZGe2NuvH9hbMVNP67hIQEJk+eDB8fnxZtNZ48eYLQ0FAuq5Fly5bxWTy0NjiqWUGviTCqWaDBVkXQAU2QL1xTIPF6ZWZmIiQkhMvWY8WKFbRSjZ48eUL9+fXr15S7Q+P96vTp01i/fj0X16+1UVhYiA8fPvAp/JnGHQINh4XU1FQUFxcjICCAMWdXU1MTcXFxUFRUhLe3Nz59+gRPT09kZ2fDxMREKOHd48ePqez44OBgkaxnOgo6AeDNTFVXV8eCBQsYjTIAMl5KKSkpYLPZWLx4Mfbs2cPF3evcuTOUlJQYK7XS0tJQVlaGsWPH4sOHD9iwYQPu37+Pfv36wcPDgzZPRRAyMjJgY2NDKTOZ4PLly3B1dcWhQ4dw5swZJCYmMirmdu/eDQUFBb4Uh/DwcBQWFjJKLhg5ciT27t3LR3a9ffs2rKysaBdi5ubm6NGjB9zd3aGtrY0LFy7g69ev2LJlC2xsbCgeBh2QVIG2xBekO8LX0dGBn58ffv75Z2hpaSEyMhKqqqqIiYlBREQEI6sbceLhw4d48OAB+vXrh0mTJjX7u00lvjx58gTKyspc30Gmoghh1OUtobS0FACE6mjduHEDvr6+WL16NRVv9ujRI+zfvx9r164Fi8WCp6cndHV1GeVwtieQVEsWFhZi/fr1SE1Npca4jQvFtlBekoCpqSlMTU35DmCXL1/GsWPHcPLkyVa/poyMDDg4OODly5d80wg6o3JBe1BdXR28vb2hra3NVczRjVsbP348Dhw4gOHDh8PQ0BDm5uaYNWsWcnJyMHv2bL7JAi+aioIsLCxEz549uYo5Jh6XHHSMXHkgKDM1KioKR44cYZyZ2rt3b5GVVZwW/7Vr16CoqNikzJkJGpNxZWVlibr519fX0yb18kJPTw9fvnzBwoULIS8vj+PHjzPyx7pw4YLAcYWGhgYOHDjAqKCbPn06nJycsGHDBq6NbufOnbS//EBDEXD8+HHIyMhAQkICtbW10NDQgIODA7Zv387oS0tSBUpChAI0jFw5HY7u3bvj06dPUFVVxU8//URrBLxjxw7Y2dlBRkaGIsU3BSYjZV789NNP1Pe5JTQ1ShUU28UEDx8+xKpVq9C5c2dG6vKWIMpoMiAgAJs2beLy0FJWVoasrCx27tyJc+fOQVJSEtu3b+cr6EhysMQJkqpZDw8PSEhI4OLFizA2NsahQ4dQUlKCwMBARqIqoEH1GR0dzZWmoK+v3ywl4NOnT7TXZ9JFfvz4scCu3uDBg1sUlYgLrq6uUFBQwPbt24UKr2/OJzYiIgIREREAmPEotbW14erqimHDhiE3N5cy+s/KyqK1V4kre5yDjoKOByQzUysqKvD06VOB7WImRQHQQLIn1TkkkV7Ae/rhJCmcOHGC9ji5qQ1cTk4OgwYNQmhoKPUYnc28pKREoAK0Z8+ejIvMLVu2wMvLCxs3bqQ8zCQlJWFsbMxIocxms6lxpqysLAoLCzFgwAAoKChQ9jN0QVIFyoGoMWnKysrIy8uDkpIS1NTUcPHiRWhqauLq1au0rAUyMzOp15dDihcEpjfzljrEzX3/SBW7vPDx8YGBgQERdfnnz5+xZ88eJCcnC7y/JCUl0VrnxYsXfON7oOEw+uLFCwAN3FRB3x+SHCxxgKRqloPU1FTs378fampqlEXPqFGjICUlhYCAANod9/T0dKxevRqVlZUUJzciIoLKam5qnDh27NgWX3OmilugYX85efIkny3SyZMn26wYz87ORmRkJG2RCC9ICtI4cHNzw+7du/HmzRsEBARQRXNGRgYtg39xmz13FHQ8ePr0KTw9Pbk6YRISEliyZAkji4bbt2/Dzs5O4ImK6ZcNINs5JJFewHv64dzcxo4dS7vgaWoDV1FRQVlZGfVzupuGkpIS7t69y1eUpKamMk4t6NKlC7Zs2YINGzZw+f4xjedRV1fHs2fPoKysDE1NTRw6dAiSkpL4+++/oaKiwmgtkipQUjFpRkZGyMzMxJgxY7BixQqsXr0aJ06cQH19Pd/mIAiNxTW8QhtR0NTpnPNZaosCg4S6nANHR0dkZWVhzpw5kJOTE1qxPHDgQOzbtw/u7u7UuIdjyszhj759+1bgofHs2bPUn1viYLUFSKpmOaisrKQ6uD/88ANKSkrQv39/qKmpNXsg4YWrqyu0tLT4RFfOzs5wdXXFuXPnBD6PlMqWF05OTrCyssKtW7eo9+/Ro0coKCig3B1aG5yDhLAFnTjQrVs3gdQDOqlRzeHLly98hzJheLodBR0Punfvjvz8fD75cX5+Pl9Hqzm4u7tDV1cXtra2QuUP8oJE57Bx6zwzM1NgegHdayVx+iG5gQPAn3/+CU9PT9TU1GDs2LEAGjoVfn5+WL58uVBrSkpKQkJCgtqEmWL16tWoqKgAANjY2GDlypUwMzNDz5494e/vz2gtkipQUjFpjS0Txo0bh9jYWDx58gSqqqq0iNkckPTGA/g/n7W1tcjIyICvry+j0funT5+we/du3LlzByUlJXw3XSaiFhLqcg6Sk5MRFhYmFDG8Mdzc3LB69Wr8+uuvVKfo+fPnkJCQoBR7+fn5MDEx4Xtu47B7Ly8vODk5cXGwxo0bh/79++PYsWMtkuqZjPXo/p9JqmY5GDBgAF6+fIm+fftiyJAhOHXqFBQVFXHy5ElG9/kXL17wCU1kZGRgaWmJP/74o8nnRUZGUv+X1NRUjBw5kkimuI6ODuLi4hAeHk5xvn/77TfMnz+fkRkwSdja2lLf10GDBvH9P5kWPKQcAkghPz8fW7Zs4WuwCNNh5aCjoOMBqczUgoICBAcHEynmADKdQ5LpBefPn8eMGTP4FDnV1dW4dOkSYzsOEli2bBk+fvyIHTt2UF+Qzp07w8zMDCtWrGC0Vm1tLXbt2iVydFtj3pWysjJiY2Px6dMnfP/994y7KiSTOq5fv84XkzZmzBhs375dpLGAkpKSUCMacXnjcdCpUydoamrC1tYWW7ZsoR2LtGnTJjx9+hTz5s0TisfTGBoaGkhLS0P//v0xZswY+Pv7o6SkBFFRUYyKX6ChWywo15cp/vOf/+DatWuIioqibJr09fWhr6+P7777DgA9ax1ROVjNecU1hjAbHe8IvbKyEvfv34eqqirlF0kXZmZm1PjZ0tISy5cvx8WLFyElJQUvLy/a6wwYMABFRUV8Kvr37983Gz4fHR0NOzs7dOvWDWZmZgLFHsJCUVERdnZ2RNZ69eoV4uLi8ObNG75pEF1KA+eAumzZMpFMnAGyOdGk4OzsjK9fv8Ld3V3kewsHHQUdDxwcHChTQ97MVHt7e9rraGlp4dWrV4zHak2BROeQZHqBk5MTfv31V76bSVlZGZycnBgXdFVVVTh69GiTnRC64gF7e3usWbOG4v9wOiBM4evrSzS6rbKykmt0K+qXt7i4GLKyskKLZNpTTBoHpLzxmkOPHj0YxSIlJSXhyJEjlDBGFNjY2KCsrIz684YNG7B9+3b069ePMW9v06ZN8PPzg6OjI9TV1UVKBpCRkWHsvM8LUTlYJL3ieLFx40aMGDECCxcuRHV1NebOnYusrCx07twZQUFBtIRGFRUV8PHxQXx8PGpra5GYmIhNmzbh+vXrePnyJRQVFRkluNjY2GDHjh2wtLTkEl0FBwfD3t6ei6rT+Hvap08fhIWFQVtbG2w2Gw8ePGiSq9qShYq40jT+/fdfWFtbY9iwYUhPT8fw4cORl5eH6upq6l5KByTHy8eOHYOLiwsRhwBSSEtLw+nTpxn7mjaHDtuSJlBRUcE4M7Xxl6KgoAD+/v5YunSpwHYx01GJu7s7Ll++LLBzOGPGDMYKK1ExZMgQ3L59m+8mlpGRgSVLliAlJYXRek5OToiPj4eenp7A0wqTrlFVVRVycnLAYrGgoqIiVP6jtrY2X3Qb0HCzcnFxQUJCAq11qqur4evri9OnT3N1+ubNmwcHBwdG11ZTU4Pdu3cjPDwcVVVViIuLg7KyMnx9faGkpMRILLF06VJ069aNLybN0dERpaWlbWI3QsobD+Af4XFEOwcPHgQA2jYM06ZNw19//UVkDEwSHBuehw8fCvw5k+7Fs2fPEBISQoljBg4cCHNzc0Ybzc2bN2FlZQUlJSWBHCxS6mxhMGHCBEpocPnyZfj4+ODMmTOIiIjA1atXaWVment7Izw8HAYGBpCWlkZMTAxGjx6NwMBAoa6psRijOR9A3k5UfHw8XFxc8OnTp2Y7mnQ6WEOGDKHSNDh+hCTSNIyMjDB9+nSsWrUKI0eORFRUFOTl5am9i6npPAmMGjWKSnRoLzAwMICnpycXdUFUdHToeCBKZqqgsYEgAqUwYwNSnUMOhL2Jc3x0WCwWTE1N+ZIr3rx5Q0m5meDatWsICAgQKuSYA1JjUoBcdJubmxsSExOxY8cOqhB/8OAB/Pz8UFZWxqgzExQUhH/++Qe+vr5cRHNNTU0cPHiQUUEnakyaONCzZ09isv6mRng//fQTbX4g0MDjCQwMhJeXl1CdXnHBzs4OpaWlcHFxEUkUce3aNVhbW2PUqFHU9/bevXuYM2cO9uzZg8mTJ9NaR0dHh0rYIcXBImHeCzQogjmThFu3buG3336DnJwcZsyYgeDgYFprXL16Fe7u7hTtZtasWViwYAHq6uqE6o4K232aOnUqpk6dii9fvmD06NG4ePGi0NnO4krTePXqFWbMmAGgYfJTUVEBaWlpWFpaYtWqVYwKuszMTJw+fRq5ubnw8PCAvLw84uPjoaSkxMiAWRwOAaLC2dkZfn5+cHNz44vwExYdBR0PRMlMFefYQEpKCi4uLrC3t2fcOeSFKDdxzoablZWFiRMncm1ynJw9ppYsQAN/j6kSlRckx6SkotsuX76MoKAgLjsDZWVlyMnJwdramlFBd/HiRXh4eGD06NFcG7i6ujpev35Nex1A9Jg0UmjMxSRpF8L7XZSQkICsrCzjbm1wcDDy8/Mxfvx4KCkp8XXaW6ICNGUkKghMPAmfPHmCM2fOiDyu8ff3x+rVq/lUegEBAfD396dd0AGAgoICEQ4WafPeXr164fnz5+jVqxcSEhKoXOjy8nLah7x3795x8U01NTUhKSmJoqIioQpWUSPEevTogWPHjkFVVVVoekJj/iBTLmFz+O677yjaRq9evZCbm4tBgwahrq4Onz9/pr1OQkIC1qxZAx0dHdy5c4daMzc3F+fOncNff/1Fey2SDgEk+IEAYGFhgZqaGujp6UFKSorvYMBEcMVBR0H3fyCRmUryS8GL9+/fo66uDgoKClydw3fv3qFTp06MvOhEuYlzRp99+vTBjBkzhBpnCsLy5csRGhqKrVu3Ct1tiImJ4RuTqqioQFZWFi4uLowKOgcHB6xcuRK3b98WGN1GFzIyMgKFMb1792ZcOHGySXlRV1dHdW2ZoGvXrpg3bx7j5zXGhw8fAIA66WdmZuLSpUtQV1enFRfk5OQEHR0dyMrKNunoLwxIfRdF7RiKy0hUTU2NSogQBa9fv4ahoSHf44aGhowNx0n5ZJI07wUaRoC2traQl5eHpKQkZaL86NEj2mHqdXV1fEUAJ8ZPFIjShSSVK8sB7/s3cOBAmJiYMH7/NDU1ce/ePQwcOBATJ06El5cXnj17hqtXrzKy1woICMDGjRuxcOFCrueNHj0aISEhjK6JlEMAKX4gQDb/loOOgu7/wDFsZLFYAtWsnMxUuiAZQwU0FBgzZszg24Bv3bqF2NhYRh9wEjdxjrI2KSkJ2dnZ1Nh2zJgxtK+jMW7fvo27d+/i1q1bUFNT4zt10uFPkRqTAg031MuXL3ONkPT09BhHt5mamiIoKAheXl5UAVdZWYm//vqLMUF34MCBuHv3Lp8jeWxsrMj2FcJi3bp1MDQ0hLGxMT58+ABTU1PIy8sjLCwMRUVFLfp8ycrK4sGDB5gyZUqTjv7C4Pz5803+TFpaGqqqqrRGNqIagYrLSNTGxgZeXl4iWzrIyckhPT2db+STnp7OaCMn6ZNJyryXAysrK6irq+Pt27dUNwRooKzQtTNis9lwcHDgKuqqq6vh6urKdTCjy/NsbxFigt6/6OhohIaGMn7/nJycKPGPtbU1ysrKEBcXh/79+2Pjxo201+FMgXjx/fffM+r0AeQcAgIDA2FlZUXxA319fbn4gUzAxNeWLjoKuv/DsWPHiGamkoyhAhpGLIIq+p9//hm+vr6M1iJxEy8sLISlpSXS09MpGXhRURGGDx+OoKAgxnYt/Wbr7AAAIABJREFUPXv2xLRp0xg9hxekxqQ1NTUwMTGBt7e3yNFtjx49QkpKCh9Xrba2FuXl5Vy5oS1tBlZWVnBwcMDbt29RX1+P2NhYvHr1CtHR0Thw4IBI1yksnj9/Tm0AcXFxUFFRQUREBOLj4+Hr69tiQTd//nxYWlpSh6nmNmsmm9zWrVtRU1OD2tpaLt9GTuFTW1uLYcOG4dChQ0JzkNoSK1euBCC6pcPcuXOxefNm5OTkcImtQkJCYG5uTvt6SCbskDLvbQxBnVImG6qg32ViBM0L0l1IUUHy/Wt8qO7atSu2bt0q1DV9//33KCws5DvAZmRkiEzPERYk+YEtxbh1GAuLAE77+vLly1BVVRW5U0AyhgpoaPnzhnkDDYpOQY83h6Zu4ocPH6Z9Yt2xYwckJSVx5coV6gucl5cHBwcHuLu7M1Z/keBPkRqTdu7cGfn5+US6RYKI/kzyaRtj8uTJVDSQhIQE9u7di2HDhmHfvn0iiUlEQWVlJWWOmpSURI3rNTQ08Pbt2xafb21tDT09PeTk5MDKygrbt29nZODdFPz9/bF37144OTlR2cVpaWnw9vbGmjVr0Lt3bzg5OcHT07PZA9HIkSOb/Ry0xHMRF4eOlKWDhYUFvvvuO4SEhFAHUHl5eVhbW8PMzIz2OqQSdgBy5r2NcePGDZw8eRJ5eXk4fPgwFBUVcebMGfTt25crx7YpkI6DI92FFBUk3z9S0NfXh6+vL/z9/cFisVBbW4uUlBR4e3vDyMiI0VqkcqJJ8QOBlmPcOoyFCWD+/PmYM2cOjI2NoaamJvQ6JGOogAZeQnh4ON9p5+TJk9SGRRdN3cTXrVtHu0uWmJiI48ePc/3/lJWVsWnTJq70gJbQ1IbZvXt39O/fH8uXL8eECRNorUVqTAo0mKn+/fffjP3meEF6I/j1119FDoknCVVVVVy5cgXTp09HQkIC1dUpLi6mXZipq6tDTU0Nv/32G2bOnMk4Xk0QvLy84OXlxeUfN3LkSGzcuBFOTk6IjY2Fo6MjNmzY0Ow6vF1xTuLElStXuLqrTUFcHDpS/CkWi4UlS5ZgyZIlFCdPmEQFUgk7ADnzXg6ioqLg5uaGuXPnIikpieK91dXV4dChQ7QKOtIQRxdSFIj6/rV08GkMumR/GxsbbNy4EZMmTQKbzcbMmTPBZrOhr6+PNWvW0FqDA97XtLa2Fi9fvkR9fT2j6Q0pfiDAfyjj3FvCw8MZT/A46CjoeGBnZ4dz585RZqLGxsaYMWMGY8sC0jFUtra2WLx4MTIzM6n17ty5g6dPnzL2DBN0Ey8vL0dwcDCmT5+Ox48f016HzmPNoSli6JcvX6gA68DAwBbVdiTHpECDD2F0dDRu374NDQ0NviKDaVRMWloa8vLyoKurCxkZGZSXl0NKSkpsBrqtBSsrK9jZ2cHb2xvjxo2jCqiEhARGN0oWi4Xr16/j/fv3RCT8BQUFAkUnXbp0QUFBAYCGTmlL3MqmuhPDhg3DnTt3sGjRomafT5JDJ454rMYQJRqLVMIOwD3K1NDQENq8l4NDhw5hx44dmDlzJpfn3E8//SS0j5yoINWFJKW4FPX9EwfBv3Pnzti1axdsbGyQnp6O+vp6DBs2rNkkjaYgKGayqqoKzs7OXOrllkCKHwgIPpSNHz8eysrKOHPmDKPuPgcdxsJNIDs7G2fPnkV0dDTKysqgp6cHY2NjRkqWXbt24ejRo3wxVMKGVT979gyHDh2iWrFDhw7F8uXLuUwqm8OXL1+wdetWJCYmolOnTli5ciUWLVqEvXv34tChQxgwYACWLVtGS51oaWmJDx8+wM/Pj5Ltv3nzBuvXr4esrCyCgoKE+j/yIjQ0FLGxsTh9+nSLvztu3DicPHmSSJhzcxs1i8WiPfIqLi6GhYUFHj9+DBaLRY2oN2/eTFnRtBbENf4rLi5GUVERhgwZQo1sHj16hG7dujHqchsYGGDbtm2MT7qCYGpqis6dO8PHxwe9evUC0KAUd3R0RE1NDY4fP47ExERs27YNcXFxjNfPy8vDrFmz+BRzdCBscd+c+WtjMOHQkcqqra6uho+PD06dOsXnk7l+/Xq+iEC64GyeongA/uc//8GlS5fQp08fyuhWWVkZubm50NfXp32AJYmoqCjU1tbCyMgI6enpWL58OT5+/AgpKSl4e3vj999/b3GNlhSXTIy4xfX+kUZOTg4UFBSIuStkZWVh+fLluHHjBpH1SCA3NxezZs1q0jS8OXQUdC2grq4OJ0+ehI+PD2pra6GqqorFixfjzz//pBW7VF5eLnIMFSls2bIF//zzD2bMmIFbt24hOzsbEydORHl5OaysrBiNcd6+fYs1a9YgKyuLSxQxaNAgBAcHEyOtvnr1CvPmzUNqamqLv+vt7Q0AIo9JScLe3h7l5eXw8vKCrq4utZncvn0b27dvR2xsbKtdC5MiW1zqzOZw48YNBAcHw83NjSpehMXr169haWmJnJwcrs9nv379sHfvXqiqqiI+Ph6lpaVC5Q7v27cPf//9NyP1nKjFPaezSAd0bVssLS2bzaqlw5/iRGGNGDECXbt2FdknE2g4yIWGhqKwsBBAAyVk6dKlWLx4MePPxbRp07BlyxZoa2tzFXQRERE4cuQIYmJihLpGkigtLcXTp0+hpqZGuwtJKpFBHO8fCfj5+aF///6YM2cO2Gw2li1bhqSkJHTv3h2HDh0iEseXkpICS0tLWvtLa6CsrAx+fn5ITEzE5cuXGT//v3veI0ZUV1fj6tWriIiIwJ07dzBq1Cj88ccfKCoqwl9//YWUlBTs3r27xXVkZGSgqakp8vUYGhpi7ty5mDVrltCk8Rs3bsDT0xPjx4+HiYkJpk2bRvHemEJRURGRkZG4ffs2xVdTU1MjTs6vqqqifRojPSYF+DNYmXrHJSUlITQ0lC9vUVlZmZZogCTEUaSRIhsDDZyZ6upqGBkZQVJSkq8rwMRos1+/foiJiUFCQgIVOj9gwABoa2tTBcHUqVNbXEdQV7O4uBifP3/Gli1baF8P0DACk5OTQ3JyMnR1danH9fT0sH379hafLw6fSxJZtZ06dYKVlRViY2MhKyvL5ZMpDHx8fPD333/D3NycS9y0d+9eFBUVtch75MW8efOwY8cO6rP69u1b3L17F76+voysqEggKSkJHz9+pJSSAHDgwAHs2bMHdXV1GDduHHbv3k3rHk9KcUni/RMHhy46OpraY2/evImnT5/i77//RlRUFHbu3ClwjNoUeGlJnCjA6OjoFpONxPF/E7Qum81GZWUlunbtip07d9JepzE6CjoepKenIyIiAhcvXkSnTp1gaGgIV1dXrjHepEmT8Mcff7Tqdenq6uLQoUPw8fHB1KlTMXfuXMZk3qKiImoEpqysDGlpaZGMZTk2E+JUZJ09e5b2SDk7O5vyFuMNYGd6qieVwVpZWSnQjf7jx4/ExgZtCVJkY4A8D4fFYoksIuEVNXAUiaNHj2YsmhJHcS9qPJacnBwREcqQIUOQm5srtIK7Mc6ePYsdO3ZAT0+PemzcuHHo378/3NzcGBd0K1asQGlpKZYtW4aqqiqYmZlBSkoKy5Yta/UoqAMHDnAVEI8fP4afnx8lwjt8+DCCg4NpTRlIKi5Fff/EwaErLi6mJj03btzA77//Dk1NTXz//feM91/e4o+THGNkZERZADUFcfzfBK3Lubf85z//4btH0EVHQccDY2NjaGtrY9u2bZgyZYpAXkufPn0YE31Fha2tLWxsbHDz5k2cO3cOK1euRK9evWBkZAQjIyOBCQK8qK+v5youJCQkRIp5io+Px5EjR7hGykuXLmXkJ9dUh+fr16/IyMhAXl4ewsLCaK3F5MTWEkhlsP7yyy+IjIzkikSqq6vDwYMHKXELE3z+/Bk3b97E27dv+exqmHbgOAcXQYRqujF2pMjGgOhGm0eOHIGJiQmkpaVbFArR7V6Q7GqSLO5JGdOSyqq1srKCl5cX1q5dCw0NDb5RHVNPLUFdosGDB/Nx/JpDRUUFfHx8EB8fj9raWkyaNInyRWwr+svz58+5srdjY2MxcuRI6j6ooKAAf39/WgUdScWlqO+fOKxNfvjhBxQUFEBBQQGJiYnU61ZbW9sij5QXohgLi8u2RRzrdnDoeFBQUCDWCC9S+PTpE06fPo2goCCqVb948eJm28dDhgyBtrY2tancunULv/zyC19RR4dMGxISAj8/P8yePZtrLBIVFYV169bRNiVtSnzQrVs39O/fHwsWLBCY/tAcPnz4gLy8PAwdOlRoMu/IkSP5MliBBrsWa2tr2q31Fy9ewNTUFEOHDkVqaip0dXWRlZWF0tJShIeHQ0VFhfY1PXz4EKtWrULnzp3x8eNH9O7dG0VFRZCSkkKfPn0YCRkOHTqEAwcO4M8//0RoaChMTEyQk5ODu3fvYtmyZbCwsKC9liAISzYuLi7GhQsXkJubi3Xr1kFWVhb37t2DvLx8i5+DyZMnIyIiAj179mxWFc1iscSau9wUVq1ahcGDB8POzo7iPCkpKcHGxgYSEhICjcibwrp16/Dp0yds3rxZoDEt3a65gYEB8vPzUV9fL1RWLQeNu+iiGB0DgLu7O9hsNt+43sPDA/X19bTH+N7e3ggPD4eBgQGkpaURExOD0aNHt5myFQBGjBiBK1euUEKy+fPnQ0dHh/q+5efnw8DAgJbYJi8vD2VlZRgyZAgqKirg5eWF+/fvU4pLOod8Dki+f0DDoe6ff/5Bbm4u5s+fjx49eiA3Nxc9evSgXdzv2LED165dQ79+/ZCRkYF//vkHMjIyuHjxIg4fPoxz584xuqb/BXR06HhQUFCAgoICPoFASkoKWCwW7VGGOPHw4UNERETg0qVLkJeXh5GREd6/f49169bB2Ni4SU4c74lAFKfzkJAQbN68mWtka2xsDE1NTQQGBtIu6Eh21UpLS+Hs7IwrV67wkc579erFiC9DKoN14MCBiI6ORnh4OKSkpFBVVQU9PT0sXLiQIuvThY+PDwwMDLBp0yZoaWnh6NGj6Nq1K+zs7GBsbMxorTNnzmDbtm3Q09NDWFgYTE1NoaysjL179+LNmzeM1hKEjx8/ory8nNFznjx5giVLlqBv37548eIFli9fDllZWdy+fRuvX7/Grl27mn1+41M4qagfknBwcICpqSnS0tJQU1MDb29vruKeCUgZ05LyyRPV6Lhxp762thZRUVFISEigDouPHj1CUVERI6X21atX4e7uTk1TZs2ahQULFqCuro4vCL21wBmNKioqorq6GhkZGVi3bh3187KyMtqHUFKJDAA5o2qgQYm6dOlSlJWV4evXr/j999/Ro0cPhIeH48uXL3B3d6e1DqcoffPmDRwcHChqwPv37/kiNcUJcXHoxIGOgo4Hnp6esLS05Hu8tLQUQUFBjE4FpMKOgYbkifPnz+PcuXPIzc3F5MmTERgYyHXjNjQ0xLJly5os6Eia3JaVlQnMbR0zZgxlNdDa2LlzJ4qKihAZGQkTExPq8UmTJmH37t2MCjqSGay9evXC2rVrGT1HEDIzM+Hu7g4WiwVJSUlUV1dDWVkZ69evx/r16xkV6O/evaPEOl26dKH8CPX19TF37twWxQ4ciEI25oW3tzfMzMywdu1arpHRhAkTaH/vbty4ga1btyIqKorPV+3r168wNDTE9u3bW92JHyBb3JMypiU1Uu7bty8UFRX5Nj42m02LH8h7zRwfPY6y98cff8SPP/5ICbDo4N27d1xjf01NTUhKSqKoqIjqkLU2dHR04OvrC3t7e1y/fh1du3blssLKzMxk1LUnBVJG1UBDJ1VbWxtbtmzhev0nT57MONZMUHQgE+N6EhAXh04c6CjoePDq1SuB/A11dXVKLUcHJMOOAWDixIlQVlbG3LlzMXv2bIHSdnV1dQwfPpzRusJi6tSpiIuL4yOUxsXFtWgCLC5cv34dQUFBfGR8NTU1PpFESxA1g5Vul4vJWKQx/0pOTg4FBQUUF6ioqIj2OkDDBvnx40coKSlBSUkJDx48wNChQ5GTk8NIQCIK2ZgX6enp8PDw4Hu8V69etOPywsLCYG5uLtAkt3v37li+fDmOHj3aJgUdQK64JxmPRWI8NmXKFCQkJEBOTo7r8U+fPmHKlCktjuwaf44qKiogJSUlchetrq6Oj7MoKSlJJUW0BdauXQtra2ssXboUMjIy8Pb25urIRURENOsUIM5uUVFREcLDw6kGxIABA7BgwQLGn6cHDx7g9OnTfO+foqIio/vUhAkTiKQ2iYq2ij4TBh0FHQ+kpaXx/v17Pr5OYWGhQEJzUyAZdgw0+DK1RDLv1q0b0REmLxp3Y1RVVXHgwAEkJydzcegePXrU6icoDr58+UJ1LRqjrKyM8eYgagbr5MmTm73xCsNN0dDQQFpaGvr3748xY8bA398fJSUliIqKYmw1MHbsWFy/fh0aGhowNjaGp6cnYmNjkZGRQcvUlAOSo80uXbrg8+fPfN+9ly9f8hUKTeH58+fNdgHGjh3LyHCVNCoqKvD06VN8+PCBj+D/22+/0V5HUDxWTEwMZUxLF6TGY7yiDA7Ky8sZCT7q6urw888/48KFCxg4cCDt5zV1TQ4ODlz37erqari6unLRJlrz8yArK4sTJ07g69evkJGR4bsvBQQENKs6Fle3KDExERYWFlBQUKAsbC5fvowjR45g7969tOMXORBUNL99+xbdu3envQap1CbSIHEAEhc6RBE8sLe3x9u3bxEcHExJhz99+kR92P38/Gito6mpifPnz/Nl42VnZ2POnDm03cnp5EUCrXNTott5ayvS+aJFizBlyhQsWbKEy0DUzc0Nb968wcGDB1vtWp48eUL9mc1mY9GiRdi5cyef4TKTjmpaWhrKysowduxYfPjwARs2bMD9+/fRr18/eHp6Mirq6uvrUV9fT5HgL126RK31559/0j68VFdXg81m823aVVVVYLFYjEQprq6ueP/+PQIDAzFmzBhERUWBxWLBwsICY8eOhbOzc4trjBgxAtHR0U3GA7169QqGhoaM0gFIKYtv374NOzs7fPr0ie9nwhDPG0MYY1qgQaghLy9Pjcc435nU1FQ4OTkhPj6+2edzRvMnTpyAkZERlzqyrq4Ojx8/RufOnRkdYKdNm4bAwEDGtje8oDveI523/N+I33//Hdra2ti0aRNXYb5jxw4kJiYyMkC3tbVF165d4eHhQd2He/bsiTVr1kBZWVlgF745kEhtevHiBSQkJKj9ODExEZGRkVBXV8fy5ctpH/h5D0BxcXFQVlaGt7c3owMQB6Si2zjo6NDxwNHREaamppg8eTK1QWZmZkJOTo6WkTAHpMKq//33XygpKQnkq7U22iPRvDFsbW1hbm6OFy9eoK6uDqGhocjKykJaWhpt6xNBOHDgAHUSowveQo3FYmHw4MGMFbuNMWLECOrPsrKyOHTokNBrSUhIcCWdzJgxg8vslC7WrVuH0aNH89mAhIeHIyUlBX/99RfttRwdHbFixQqMHTsWlZWVMDExQUlJCbS0tGiHVSsoKCAzM7PJgi4zM5PRCKklZTGTgs7d3R26urqwtbVlPMbigKQxLSD6eIzDfWOz2cjOzuY6CEhJSUFDQ0MgD6o5WFhYYOfOnfD19RUqu5WDjkKNPgoKCrBw4UK+LuvChQu58m/pYOPGjTAzM8P06dNRXV0NW1tb5ObmQk5OjpGSmwM1NTU4Ojpi/fr1VGrT+fPnGaU2OTs7Y/HixRgwYADevn0LCwsLjB49GidOnEBpaSmXlUxzIMkPbCm6TRh0FHQ8kJeXx4ULFxAdHU2dmOfMmQN9fX1GMSikwqrNzc1x4cIFpKamUp5zpGK1vjVoaWnh1KlTCAkJgYqKCpKSkjBs2DCcOnVKJPf6ffv2UaOobwVhYWHo3r07DA0NuR6/cOECSktLaRuu3r9/H7a2tnyPa2trY//+/YyuqVu3bggPD0dSUhIyMjJQX18PDQ0NRukjEydOREBAACZOnMinRq6oqEBgYCAmTpxIez2SyuKCggIEBwcLXcwBZI1pORBlPMaheDg5OWHTpk0CuYtMERISgvz8fOjo6EBBQYHvvsvEnudbg7g4dMOHD8fz58/5crCfP3/OuFPau3dvXLhwATExMdT3+M8//4SBgYFQvqckUptevnxJmc7HxcVBU1MTBw8exJ07d+Ds7Ey7oCPFDwSAwMBAWFlZUdFtvr6+XNFtwqCjoBOArl27ipSgADRYFLDZbDg7O/OFHdP98HDWsbOzw7///ouIiAjs27cPo0ePhrGxMaZMmcKI1/e/gMGDBzPiENFBW7ISmNg0MNnojh49KnA80KdPHzg7O9Mu6CorKwWOKyQkJIRWO48bN45xCgoHa9asQVxcHKZPn46FCxdSHfKXL18iLCwMbDabNo0BIKss1tLSwqtXr0RSMZI0pgUaCu8jR45wjcFKS0sZF76cbhgJD0hSVirfIkhy6NLT06k/m5iYwNPTEzk5ORSH7tGjRwgPD2e0X3HQpUsXxgceQddHKrWpsUAmKSmJ+myrqKjQFlxxQIIfCJCLbmuMjoJOAJ49e4aQkBC8ePECLBYLAwcOhLm5OQYNGkR7DU7Ytr29vchhx5KSkpgyZQqmTJmC9+/f4/z58/D398fWrVsRHx/f5iTR9oKhQ4cKVNp9/PgR48ePF4mj1FYQ1+b27t07gQpbBQUFvHv3jvY6gwcPxsWLF/mUm9HR0VBXV2d8XaKmj8jJyeHUqVPYsmULdu/eTRXjLBYLEyZMwObNmxnZBpFUFs+fPx/e3t4oKirCoEGD+Ex8OVYdzeHLly9cn+8HDx5wdexGjBjB6LpIjcfKysrg7OyMuLg4kT0gxZE5/K2ApOLyjz/+oFJGOBDEEXdwcIC+vj7tdc+fP9/kz6SlpaGqqkp1y5oDydSmQYMGITw8HJMmTUJSUhKV3FNYWChQSNcUSB2AALLRbRx0FHQ8uHbtGqytrTFq1CjqRnnv3j3MmTMHe/bsYWzJ0bVrV5HDqhujoqICX79+RXl5OWRkZBhnlH7LaKqTVl1dLVInk2PgzAS8XSBB6jqgZTGLuDa3Xr164dmzZ3zK3YyMDEY3OEtLS1hYWCAnJ4eKMrtz5w4uX76MoKAgRtfUOH2Es3E9fPgQ9vb2jNJH+vTpg4MHD+Lz58/IyckB0KDKFiYfkaSymFP0urq68v2MriiCpDEtQG485uvri8LCQiIekED7VhK2J4jyOolLuLZ161bU1NSgtraWy+GBU5DV1tZi2LBhOHToULMcyfj4+BZTm2RkZGhxJdevXw9LS0uEhIRg9uzZ1Hf3+vXrlB8nHZDkB5KMbuOgQ+XKAwMDA0ybNo2v4xAQEIBr164hKiqqyeeuXr0aO3fuRLdu3Voc6zBRpVZWViI2NhZnz57FkydPMHXqVBgbGws9lvrWwLFT8fHxgaWlJVfHsq6uDnfv3sW7d++aPTk2hy9fvvBZTLR0s2zvCjs/Pz9ERUXB3d2dMhVNTk6Gi4sL9PX1sX79etpr3bx5E8HBwVRBMnToUKxevZrxiXXChAlYu3YtH93h77//RmBgIBISEhitRwIklcUck9ymQCdycMuWLXjy5AllTBsVFYVbt25RRVxUVBSOHz/OmMguKnR0dBAUFARNTU0uhXlubi4MDQ1pRVlxQFpJ+K2ivb5ON27cwN69e+Hk5EQJudLS0uDt7Y01a9agd+/ecHJywsCBA+Hr69tq11VXV4fS0lKug11+fj66du1K2xYJaNiPGx+ANDQ0hOIHkoxu46CjQ8eD169f8xHFgYYUhpZUhY07Gz/88AOR7pmLiwtiY2OhqqoKY2NjBAcHtyty/qdPn1BSUsLXHRPVQ4oJOMRsNpuNs2fPcimeOnfujL59+zKOxSkoKICbmxtSUlK45OR0/eNIFWri4tBZW1sjPz8f5ubmFAeuvr4eenp6XB0fOtDR0WGcCiEI7TF9hKSymERGtKjGtLwgNR4j6QFJUkn4LYP061RcXIz79++jpKSE7wBLl1MLAF5eXvDy8qK4eECDmGPjxo1wcnJCbGwsHB0dsWHDBr7nDhkyhPa+yZRCIykpydelZ+ItygEJfiBANrqNg46CjgdycnJIT0+Hqqoq1+Pp6ektcm8ab+Jubm5E3M7Pnj0LJSUlyMvL4+bNm7h586bA32tts9SMjAw4OTnh+fPnXI8LG+YsCjh2KosWLUJQUJBQozVeODk54evXr3B3d4e8vHybjbbFxaHr3Lkz/Pz8sHbtWq7OWlN2H00hJSUFAH90kDDZx+0xfYQ0ROXnimpMywtS47ERI0bg2rVrfKbip06dYjw+Iqkk/JZB8nW6cOECXFxcwGaz8f333wu0L6GLgoICgd2qLl26UF3qvn374suXL3y/4+/vT/3bxcXFCAwMxLRp07jM6+Pj4xmP8ElNzEgdgMSFjoKOB3PnzsXmzZuRk5PDZTcSEhJCm8ND0u189uzZ7ZIn5+zsjN69e2PTpk2Qk5NrF9dIMiUjLS0Np0+fZiSEEQfETRDv168f4yKuMUhmH7eUPtI4qUQYBRhdiKsrSpKf25Sijim/zN/fn9Z4zNPTs9nxGGkPSFJKwm8dpF4nf39/LF++HJaWlgLFB0ygqakJLy8v+Pj4oFevXgCA9+/fw8fHh+ra5eTkCLTv0dPTo/68evVq2Nvbc1EwjI2Noampifj4eEZFJm/3uKamBpmZmXj79i1twRUg+gFInNFtQEdBxwcLCwt89913CAkJoUiO8vLysLa2hpmZGa01JCUloaSkxOf8LAy8vLxEXkMcyMnJQUBAAF8ns61x6dIlJCUlCRwbMOli9u3bly8VoL0gLS0NeXl50NXVhYyMDMrLyyElJdXijXjHjh2ws7ODjIwMZXPRFFxcXGhdC6nsYwA4d+4cevTogVevXnE9t0ePHlyFIYvFEmtBJ66uqL+/P1ZlyTKJAAAgAElEQVSvXi2Qn+vv798mXUhRxmONQdIDkqSS8FsGydeptLQURkZGIhdzQMN9xtLSEpMmTaLEZEVFRejXrx/27t0LoEHct2bNmmbXSU5OFjg6HjNmDOO0iaYoMF5eXoy8E0U9AIkruo2DDlFEMygtLQUAocwyIyMjERMTI7LbeXuFubk5Fi5c2K5GYd7e3jh27BjGjBkjcEzKhNeWlJSEgwcPws3Nrd0UrcXFxbCwsMDjx4/5rCE4NjnNYdGiRdi7dy969OiBRYsWNfl7LBYLx44do3VNY8aMQXBwMLS0tLgev3v3LiwsLKiRbAcaxpIxMTF8n6fXr1/DwMAAaWlprX5NmpqaOHPmDF/R9ezZM8ybNw+PHz9Gfn4+9PX18fDhw1a5psLCQurwnJ+fj6FDh1JKwhMnTnyT91NhQPJ12rZtG/r379/sfYEJ2Gw2EhISqIPZgAEDoK2tzWiSM3nyZMyfP5+PgnHgwAGcOnWKSHLRq1evYGJigqSkJFq///vvv/MdgICGSQLnAHTnzh1s2LChSXqUONHRoWsGorief+tu5x4eHti0aRPy8vIEemox4U6RwoULF7Br1y6utr2wsLCwQE1NDfT09ARyIYVph4sKT09PyMnJITk5Gbq6utTjenp62L59e4vPbzySJjWenjBhAnbu3MmXfezn58c40Ptbhyj8XHFBlPFYY5D0gCSdNPCtguTrtHHjRlhaWiIpKUng/Zwp9YPFYuHXX3/Fr7/+yuh5jbF27Vo4OTnxUTCSkpKIKXiZThFE4Qe2BjoKOh58+vQJu3fvxp07dwSO7ehu5N+62/nr16/x9OlTgVYSrS2K4KC+vl7kQG8OxN0aFwZJSUkIDQ3lE30oKyvj7du3bXJNpLKP2xPExaEjwc8lDVLjMdIekKSUhN86SL1Op0+fxq1bt9CzZ0/k5ubyddJaKuiOHDkCExMTSEtLc3FdBYEuXWL27Nno378/jh07RnXjBgwYgPDwcL4OWUvgpZiw2Wy8f/8eN2/epJU0wYGoByBxc+g6Rq48sLS0xNOnTzFv3jyBYzuSTt3/zZg+fTpGjBiBVatWCRRFMDGnJYXdu3ejU6dOjBVQ/y3Q0tJCREQE+vfvz+X19fjxY6xYsQLJycmM1rt69SqSk5MFHlyYmGRWVFRwZR8PGzaMcfZxewITQ2QmnQs2m42jR48iJCSEUiHKy8vD3NwcZmZmbSYsEmU8Ji4PyHfv3iE1NVWgJZI4+ZP/TSCpuBw3bhxWrVrFp1Kmi8mTJyMiIgI9e/ZslobDYrHEZmjcHHhHyRISEpCVlcXYsWPxxx9/0OYOvn79GpaWlsjJyRF4AFJVVUV8fDxKS0sxe/ZsvudHRkbSvmZhao2Ogo4HWlpaOHLkCOMTQFNISkpCdnY2gIYYo2/FDPinn35CVFSUSLmUpLF161bExMRATU0NgwcP5usMtMQx+/TpE6US/PTpU7O/2xZu9atWrcLgwYNhZ2dHFXRKSkqwsbGBhIQEoyLMy8sLYWFhGDlyJH788Ue+zVtQBFAHyEEUfm57AmfzfvPmDRQUFAR6QK5du5bR/TQqKgrOzs7o1KkTHw+srQqC9oiRI0cSsZwBGriwZ86caVf3c5KoqKggYiMGkOEHigsdBR0Ppk2bhr/++kuoHMrGyMvLw9q1a5GZmclVyQ8aNAh79uzhMhX8b4SFhQX09fWpcOH2AFGJ/o15QE0ZXLaFzx4HL168gKmpKYYOHYrU1FTo6uoiKysLpaWlCA8PZ3QzHjNmDNzd3TF16lSRr4tE9nF7h7DK4v8VkPSAnDp1KmbMmIF169YR2YC/VZBMZPD29sZ33333Tebo1tXVQVNTk4iNGGmQjrjrKOh4cOnSJcTGxsLLy0uk0HszMzPU19fDx8eHivB48+YNHB0dGakI2yvCw8Oxb98+KhePd2P77bff2ujKhEdKSgq0tLTQqVOnFtWZvEa6rYX3798jPDwc6enpqK+vx7Bhw7Bw4ULGWbO6uroICQnBgAEDRLqext5qo0aNAtDgrXb//n2hso+B9pE+woGoyuLG+Pz5M/bs2YPk5GR8+PCBb8xNV2n3raMxnaADTYOk4nLLli2IiYnBwIEDhZpu8OLRo0eUfRTv95jpWiQwbdo0BAYGCsWxFgc/EBBPdFvH8ZIHwcHByM/Px/jx46GkpMRXqNAlQT98+BB///03Vx6bkpISnJ2d8eeffxK95rYAJ6Zk//79fD9rqw4WBx8+fEBeXh6GDh3KKKi8cZHWVgVbS+jVqxefj5kwWLFiBQ4dOoRt27aJ1GUi6a3WntJHOBBVWdwYjo6OyMrKwpw5c9qNGXd7hI6ODh49etRR0LUAkorL7Oxsqth5+fIl18+Yfk4PHz4MX19fqKqq8h002+ozb2FhgZ07dwplI3b8+HHMnj0b0tLSzboDMPXHFEfEXUdBxwNS6lRFRUVUVlbyPV5VVQVFRUUi/0Zb4tmzZ219CXwoLS2Fs7Mzrly5wtdN6dWrFyOxREhICJYtW8b3eFVVFTw8PIjk7gmDiooKPH36VGCHh0lXdN68eVizZg10dHTQr18/vqKObgdZlOxjXrTH9BGSyuLk5GSEhYVBQ0OD5CV+E7hy5Qr1Z21tbezcuRNZWVnfTPdfHCBlOQOQTdk5duwYXFxcYGpqSmxNUSGKjVhjvzsS3ncciCPirqOg4wEpDsHGjRuxY8cOuLi4YMSIEWCxWHj8+DE8PDzg6OhI5N/oADd27tyJoqIiREZGwsTEhHp80qRJ2L17N6OC7sCBA0hISIC3tzd1s8zIyIC9vX2bFRq3b9+GnZ2dQMEG0w6Wm5sb7t27h19//VWgKIIuSHqrtcf0kcrKSoG2Gx8/foS0tDSjtVRUVPiK8LbGhw8fAIDqWmRmZuLSpUtQV1eHvr5+q12HoK5ze+z+tyeQspxpjKqqKuTk5IDFYkFFRYXxZxxoOFiTSvR49eoV4uLi8ObNG77kJSZG8e3VRox0xF1HQdcEOOpUDsl7zJgxLT6H12OmuroaCxYs4FIgSUpKYv369W1iTEsSJLkEpHD9+nUEBQXx8STU1NSQl5fHaK0LFy7A0dERBgYG2LZtG16/fo3AwEAYGRnB2dmZ5GXThru7O3R1dWFra0vr1N0cYmNjERQUBG1tbZHWIemtpqWlhezs7HZV0P3yyy+IjIyEnZ0d9VhdXR0OHjyIsWPHMlpr06ZN8PPzg6OjI9TV1dsF4X/dunUwNDSEsbExPnz4AFNTU8jLyyMsLAxFRUUCu9TiQHvs+Ld39OvXDzExMc0qLumKnmpqauDn54cTJ06gpqYGbDYbUlJSMDU1ha2tLSMvwZkzZ+LmzZuMslYF4d9//4W1tTWGDRuG9PR0DB8+HHl5eaiurqb4unRBUuxBih8ojoi7joKOB4WFhbC0tER6ejrXqWf48OEICgpqdiN1dXVtF2Oi1gBvi762thbv379Hly5dICsr2yYF3ZcvXwT635WVlTHePHv37o3Q0FB4eXlRarvdu3czCnImjYKCAgQHB4tczAENPoEk1iGRfcxBe0wfcXBwgKmpKdLS0lBTUwNvb28uZTETqKqqorKyskl/qbboPD1//pxy4Y+Li4OKigoiIiIQHx8PX19fxgVdYWGhQDpAx5hZPCCRyAA0TDcuXryIrVu3UsXS3bt34efnBzab3eJUqfEBX1FREXv27MH9+/cFCizo7g2BgYGwsrLCqlWrMHLkSPj6+kJeXh4ODg7U4bG1QZIfuHHjRpiZmWH69Omorq6Gra0tFd3GxIKqMToKOh7s2LEDkpKSFP8KaLAgcXBwgLu7OwIDA5t8rpGRUWtdZptDEJeguLgYTk5OmDdvXhtcUUNW5rVr1/jMMU+dOiXUDSAuLg6RkZEYPXo0srOzERoaiuHDh7cZB1JLSwuvXr0i4hW1du1aBAYGwtPTUyQ1N4vFwpIlS7BkyRKRvdXaY/rIwIEDER0djfDwcEhJSaGqqgp6enpCKYvt7OxQWloKFxeXdsMRrKyshIyMDICGqQRHxKKhocGII5iRkQEHBwe8fPmSr2vRMSYlB3EpLmNiYuDh4cHVGVJRUYGsrCxcXFxaLOh4D/gyMjJ48OABHjx4wPU4E+HAq1evKFuszp07o6KiAtLS0rC0tMSqVataXEdLSwvx8fGQlZVtMaGB7sSMJD9QHBF3HQUdDxITE3H8+HEuhZWysjI2bdrUoot2ezemFTd+/PFH2NrawsbGpk06Wba2tjA3N8eLFy9QV1eH0NBQZGVlIS0tDWFhYYzWcnJywsWLF2Fvb4/Fixfjw4cPcHZ2xqxZs+Dq6opZs2aJ6X/RNObPnw9vb2/Kz5C3g8WkC3L48GHk5+dDW1sbioqKQqu5s7KyUFdXhyFDhnAVcs+ePUOnTp0YWY1s3ryZcqxvLwUPQE5Z/OTJE5w5c6Zd+fOpqqriypUrmD59OhISEqgxeXFxMXr06EF7HVdXVygoKGD79u0CE3Y6QAbiUlx+/fpVoKpYWVmZlkqWpFiAg++++w5VVVUAGr6Dubm5GDRoEOrq6vD58+cWn+/q6krdk0hNz0jyAwHyEXcdBZ0ACHrj6XwYxo0bRxnTjh07tt0Z07YG6uvrUVxc3Cb/tpaWFk6dOoWQkBCoqKggKSkJw4YNw6lTp6icUbrgbL6c58nKymLfvn0IDw+Hm5tbmxR0nKLC1dWV72dMP1OkSMKurq5YuHAhhgwZwvV4dnY2wsLCGI0lCwsLcfDgwXbnVk9KWaympkZ1MdsLrKysYGdnB29vb4wbN45SRyYkJDDy7MrOzkZkZCT69+8vrkvtAMSnuBwyZAiOHz8ONzc3rsePHTsmcj52bW0tqqqqGE8CNDU1ce/ePQwcOBATJ06El5cXnj17hqtXr9KauDSmNpCanpHiBwJko9s46DAW5oGlpSU+fPgAPz8/arT25s0brF+/HrKyss3mPDY2pk1OTm62CGyvPmd00dhmAPj/YccnTpyAsrIyDhw40EZXRgbV1dVNeti9evWqTTYujrdUU+jTp08rXcn/x8iRI3H+/Hk+IUNubi7mzJmDe/fu0V6rPaaPkFQW37x5E0FBQbCxsRHYYW2rrn1xcTGKioowZMgQSsD16NEjdOvWDWpqarTWmDdvHhwcHETmOdbW1iIxMRGampptkgf9v4rU1FSsXLkS8vLyFKfy4cOHKCoqwsGDB7l80ppCUlISPn78yPX9PXDgAPbs2YO6ujqMGzcOu3fvpt35zcvLQ1lZGYYMGYKKigp4eXnh/v376N+/PzZu3Mjl8doSLCwsYGhoiEmTJjHyJgW4+YGVlZU4evQotLW1ReIHAmSj2zjoKOh48PbtW6xZswZZWVl8kV3BwcFQUFBo9vm3b9/G+PHjW+NS2xS8HRkWi0WFHTs6OjLmF7VHFBcX48SJE1QW78CBA2FiYsLYjqO9gkTszM8//0xxCxsjLS0NixcvZqTmbo/pIzNnzsSIESOIKIsbf2caH/b+W7v2jYvcp0+fYvfu3USK1REjRiA2NhZ9+/Yldq3fKkgmMhQWFuLkyZOUsfCAAQNgYmJC+3O/dOlS6OjoUEXN48ePMW/ePBgbG0NNTQ2HDx+GgYFBm9h22dvb4/r16+jUqRN+++03GBoa0m6q0DVHZ5ozTDK6jbqGjoKOH2w2G7dv36Y+2GpqarSLtCFDhqBPnz4wNjaGkZERESVhB1of9+7dw/Lly/Hjjz9ynVhLSkpw+PDhNlNZkcpNJRU7s2bNGkhKSiIgIIBSEtfW1mLdunWora0V6CXWFHgPCY3RVgXPTz/9hKioKCJj4PYYJ7djx45mf95cUcCbd8zZSkQtVufOnQtbW9v/iYOxKGhJcdna8ZLa2trYv38/dbjz9vbGw4cPKdpFbGws/P39ERcX16rXxUF5eTmuXr2KmJgYJCUloVevXpg5cyZmzZrVJrxWktFtHHRw6ASAxWJBW1tbKI+uixcv4uzZswgLC6N8vubOnYvJkye3C9+pDtCDj48P9PX1sXXrVq52uJubG7y9vXHq1KlWv6bGuak6OjoAGgrPOXPmMM5NJRU74+DgABMTE0ybNo0ry7W8vBwnTpygvQ7QPr3ISCqL2yPNIjMzk+vvtbW1ePnyJerr61vkTomrYLCysoKXlxfWrl0LDQ0NPlf/b1FQJgxIKi7DwsLQvXt3vtSXCxcuoLS0lBZn7MuXL5CTk6P+/uDBA+o+BTR0XltKQGhJjdoYTL1cZWRkYGhoCENDQ3z48AGXLl2iONcZGRmM1uJAWH4gQDa6jYOOgk4AMjIykJycjJKSEj4S9IYNG5p9rpqaGhwdHakWb0REBGxsbPDDDz9g9uzZ+OOPP0QORG8riEsy3x7x9OlTeHp6UsUcAEhISGDJkiVN+oiJGyRzU0nFzgwYMABRUVE4ceIE1YUxMDBgNKppzxBVWZyenk7732oLrzZBSsmqqio4Ozu3yJsSV4G6atUqAA2F3bcwmhYXSCoujx49KrAr36dPHzg7O9Mq6DhKVEVFRVRXVyMjIwPr1q2jfl5WVtYif23z5s3ML54hqqqqcOfOHSQkJOD169ct0qgA8vxAgGx0GwcdBR0PDh48iF27dkFJSYkvEomJ7Jkzq//tt99QWFiIyMhInDt3DiEhIdDS0mLcvWgPEJdkvj2ie/fuyM/P5yu+8/PzGX1pSYJkbipALnZGXl4etra2jP99XrTHQ4KoyuI//vgDLBaLj98kzFqtBWlpaaxevRrLly/HggULaD0nJSUF0tLS1EZ07tw5nDlzBurq6nB0dGTUwWjtUeF/K0gqLt+9eydQZKCgoIB3797RWkNHRwe+vr5UM6Nr165ciQ6ZmZktdrrFdVhms9lITExEdHQ04uPjISkpCT09PYSGhtISfBw4cICr2/j48WP4+flx8QODg4MZ8QPFEd3WUdDx4OjRo9iyZQvmz59PbM3evXvDxMQE3333HYKCgv5rY7/EJZknCVLZfzNmzMCmTZu4XMnv37+PnTt3YubMmUSvmS5I5qaSjJ3hFY+oq6tjwYIFjK+pPaaPMCE5i+P5bYWPHz+ivLyc9u97eHhQ8UovX77E5s2bYWxsjHv37sHHxwdbt26lvVZ7HE23F4gjkQFo6K49e/aMT4iSkZFBW228du1aWFtbY+nSpZCRkYG3tzdXRy4iIqLNeJETJkxAaWkpdHR04OXlhYkTJzJSuz5//hz29vbU32NjYzFy5EiKg6qgoAB/f39GBR3J6DYOOgo6HtTX12PcuHHE1rt9+zYVpSMtLY2ZM2di7ty5xNbvwP8Hyew/BwcHsNlsODs7o66uDkBD13XBggVcX+zWBMncVFKxM4LEI1FRUThy5Ahj8Uh7TB8R1QqmLaxkmIC3K8qxH4qOjubqSLSEnJwcyrPxypUrFD/z0aNHsLa2ZlTQAeQOCd8axJHIAAD6+vrYsWMHunbtShXUycnJ8PDwgIGBAa01ZGVlceLECXz9+hUyMjJ8dI6AgAAqlaQpiItDt27dOujp6Qk9XSHBDxQEUtFt1HodKldu7NmzB7W1tSKNkN68eYNz587h3LlzePPmDX755RcYGxtDT08P0tLSBK+2ddGcBx8vSIYh04WRkRGmT59OZf9FRUVxZf8J0+GpqKhAbm4ugIYoHF6CdmuCzWbj6NGjCAkJoW4e8vLyMDc3h5mZGWMn9MrKSq7YGQ0NDcaxM3/++ScGDRokUDySlZVFRDySkZEBGxsbPu/D1gIpZTEHhYWFePv2LV8HuS2yanl5lxISEpT90MqVK2nHuI0aNQoRERHo168fFi9ejGnTpsHU1BQFBQX4/fff8fjxY9rX1F4V5t8yampq4OjoiEuXLlGFWH19PfT09ODj48PX/RMXIiMjaf+uMOPZqqoq5OTkgMViQUVFhfZ+PHnyZHh6emLMmDGorq7Gzz//jP3791PNn8zMTJiZmSE5ObnZdcTNQ+8o6HjAZrOxYsUKFBcXQ11dnY8E3dLYbsmSJUhJSYGsrCzmzJkDY2NjvhHZfyt4T2oFBQWorKzkmv936dIFffr0oR0dRRKcIk5ZWRmjR49GWFgYBg0ahMzMTKxatQr//vsv7bWcnJywadMmvg2tvLwc27dvZzS+FQdEzU0lBU1NTZw/f56Pa5idnY05c+Yw2sibwpMnT2BmZtYmVIXGyuLGKt779+8zVhYXFhZi/fr1SE1NpXh1jYvw9sKhEwZLliyBvLw8xo8fDxcXF1y6dAkqKipISUmBk5MTo9FzaxwSvkWIorjkICcnh1J8Dh06FP369SN0dW2L2tpa7Nq1CydOnEBNTQ3YbDakpKRgamoKW1vbFgvWLVu24MmTJxQ/MCoqCrdu3aLGtlFRUTh+/DjOnDnT7DqTJ09GREQEevbs2ey9g6mnHQcdI1ce7N69G4mJiRg2bBi+fPnCuOvRtWtX7NmzB7q6ut+cTUnjIi0iIgLnz5+Ht7c3RaZ98+YNnJycaLfoSUPU7L/GOH/+PNavX89XMFVWVuLChQttXtCRKOTevXuH1NRUgaakdE+HJMUjzaWP0CEuiwMklcUeHh6QkJDAxYsXYWxsjEOHDqGkpASBgYGMrGJIoaamBrq6uggNDYW6urpIazk7O8Pe3h7Xrl3D6tWrKfL75cuXqS4bXbRHhXl7gjgUlxyoqqpCVVWVKg7bGiTMzwHA19cXFy9exNatW6mD2d27d+Hn5wc2m90i940UP1DcPPSOgo4HJ0+exK5du4SOHwoODiZ8Re0Te/fuxV9//cWljFJSUsLGjRthYWFBNHCYLkTN/gMa3O/ZbDbYbDY+f/7MVZTX19fj33//5eJStCY+f/6MPXv2IDk5WWCuaFJSEu21oqKi4OzsjE6dOvHFyjDh35AUj/AWTbzpI20Bksri1NRU7N+/H2pqatT/bdSoUZCSkkJAQIBQvpeioHPnzujUqROR0PJBgwYJ7Mo7OjpyFWZ00B4V5u0JJBWX4iwORQWv+fnvv/+OHj16IDw8nJH5OQDExMTAw8ODS/CloqICWVlZuLi4tPhakeAHtgY6CjoedOnSReQw4v8FlJSUoLKyku/xqqoqfPz4sQ2uqGFMWlZWBgCwtrZGWVkZ4uLiqOw/Ohg7dixYLBZYLJbAgoTFYsHa2proddOFo6MjsrKyMGfOHMjJyYm0EQcGBmLZsmVYt26dSJ1kkuKR9mgsTFJZXFlZSSkGf/jhB5SUlKB///5QU1PjM/htLZiammL//v3w9PTko5eQgDCc4faoMG9PIKm4FIcdBymQMj8HgK9fv0JZWZnvcWVlZUbGvU1ZOglrdk0yug3oKOj4sHjxYhw9ehRubm5ETq7fKsaPHw9XV1ds374dI0aMAIvFwuPHj7F58+Y2k6Y3/sJ27dqVsbIOaPDAYrPZWLx4Mfbs2YPvv/+e+lnnzp2hpKTUZoa5ycnJCAsLI2JAW1JSgrlz54pMC5CSkoKLiwvs7e3bjXiEJEgqiwcMGICXL1+ib9++GDJkCE6dOgVFRUWcPHmyzT5T9+7dQ0pKCnR0dKCurs73vu3bt6/J5xoYGCAsLAzff/99izQLJpza9qgwb08gqbgUhx0HKZAyPwcaYuqOHz8ONzc3rsePHTvWZg2clqLbhEFHQceDe/fu4f+1d+9xOd7/H8Bft1SEqGwUObUoNYeYb0TIeZgMc/zm1AxhjptTREgyp4Ulcmw5DHNoDsNsS5laztLPaaHQlBSSDvfvj3R9u7vv6r7rruuqXs/HY4+Hrvvuut+s7vt9fa735/0ODw/H77//DgsLC6Wr1oLe4CqS5cuX49tvv8WwYcMUdkV17Nix0PmQUpazZf/s2bMwMzOTVFLfoEEDpdusReXo6IirV6+qvGotiqpVqwptKzQh9ekjkydPRrVq1RAQECC0c/nwww8xdepUuLi4aHQuFxcXPH/+HADg5uYGV1dXBAcHQ09PDytXrtR67OowMjJCr169ivS9vXr1EuqIevbsqbXflfJ+kVBc2pjIkKOk2nFoi7aan8+ZMwcTJkxAaGiows7p+Ph4+Pv7ayVWTWlzdFsOJnR5GBkZoWfPnmKHIXnGxsbw9/fHgwcPcP/+fQDZKxCNGzcu1Tjs7Oxw5swZGBsbF9rDSJNdklLsH7ZgwQKsWbMG3377LSwtLTVeXcu96cDBwQGrV6/GnTt30KxZM6ULl4J+ByZOnKj2axZ2AST16SMymQxjxozBmDFjir2z+LPPPhP+bGNjg3PnzuH+/fswNTVVqmMsLcXZ3FO/fn3hZ7AkyhCKepFQ3mljIkMObSaH2qbN5ueffPIJTp48iR9//FH4vOrdu7eoIwq1ObotB9uWUJl2+PBh9O3bF3p6eoX2MCrrO+SePXuG6dOn48qVKyofL6zthZWVlVqvU9gYKk3qV8TeDSxl2mgzISZra2tcuHABxsbGsLa2RkhIiGgbhiqSxMRETJ06FX///bew47JHjx7C46NHj0arVq3U6qWqrXYcJeHZs2fCKvjjx49hbW0tND8PDAxU+yIoPT0dI0aMgLe3t6TmqC9atAjNmjXTyui2HEzoSG3Lli3DzJkzYWBgUOht1aIUdFLBRo4cieTkZAwbNkzlpoii3jqj/GljZ7HUdhJqq/bNwcEBS5cuRbdu3WBlZYXQ0FDRVhorovx2XCYlJcHAwECtlTVtJoclQRvNzwGgffv2+PHHH0v9DlJeuctK3r59i507d8LBwaHYo9ty8JYrqS06OlqoaShoV54U6s6Sk5OVPnyLuhNJKm7cuIEDBw4UeUJBSdixYwecnZ2L/G8r9ekj2thZLLWdhNqqfRs2bBjc3NyEXeEFtV0py02TpUobOy6l3o6jSpUqWmmB5ezsjP3794vW/ihHSY1uE76PK3RUXsTGxmLx4sW4dOmSwlilnI78Zf1D5fPPP8fChQthZ2dX5HP8/vvvWLJkCY4ePapUC5aSkoIBAwbA0yU3tKMAACAASURBVNNT7Z5oXbt2xfPnz+Hk5IQhQ4agY8eOGsVTFqaPFHdnsYODA/z8/GBrawsA8Pb2xpUrVxAUFAQge2fhunXrcOrUKa3EXJru3LmDmJgYTJkyBZ6envmuMmqyehwXFwdTU1OlRFMul+PJkycKvS+p/Pr555/zfUxfXx8NGzZE8+bN1TqXh4cHjh07hvr168PGxkYpSS0vd5S4Qkca02aHeW2aN28eUlJSsHz5cnz44YfFXim8ePEigoODERcXpzR3c9euXcU6d1FMnz4dK1euxPTp09G0aVOljQzqXJkHBgZi/PjxKgv7a9SoAVdXV+E2gDrOnTuHkJAQHDp0CJMnT4aJiQmcnZ0xaNAg1K9fv9Dvl/r0EW3sLJbyTsLly5djwIABQrKpKUtLS1haWmLKlCno16+fVnaiduvWTWU9XlJSErp161bmL8xIPUuWLEF6ejoyMjIURsDlvO9lZGSgefPm2Lp1a6G3+u/duyckf48ePVJ4TAp3lAAt1dTKiYrA0dFRfufOHbHDUNCqVSt5dHS0Vs518OBBua2trXzGjBlyW1tb+ddffy0fMGCAvE2bNvIlS5Zo5TU01axZM+E/Kysr4b+cr9Xh6Ogov3fvXr6P37t3T96pU6cixffixQv5rl275M7OznJra2v5mDFj5MePH5dnZGSo9f1du3aVR0VFKR2/deuWvEuXLkWKqbj++usv+ZgxY+RRUVFq/z3y6tq1q/zixYtyuVwuT0tLk3/88cfy0NBQ4fHbt2/L27Vrp5V4NTV06FB5s2bN5L1795Zv2rRJ/ujRI1HiyK1Zs2byhIQEpeOPHz+Wt2zZUoSISAznz5+XDxkyRB4ZGSlPT0+Xp6enyyMjI+VDhw6Vnz9/Xh4VFSV3dnaWz549W+xQNRIaGioPDg5WOObn5ye3tbWVW1tby8eNGyd/+fJlkc7NFToVMjIycO3aNTx58kRpZcbZ2VmkqKSlpDvMF0X9+vXx7t07rZwrICAAixYtwpAhQ9C6dWvMmjUL5ubmWLp0qWg1JdpYFUxMTCxwFJNMJkNSUlKRzl2rVi3Y2NggKioKd+/exePHj7F06VKsWrUKK1euRPv27Qv8filOH2nYsCHevn2b7w5pdVaLtNlmQtv27t2LR48e4dixYzh27Bg2bNiAVq1a4bPPPsOnn36q0Fi7pOVstJLJZPjuu+8UVvsyMzNx7do1tXdqU9m3cuVKrFy5Ei1bthSOtW7dGnPnzsW8efNw4sQJfPvtt/jmm2/UPmdaWhpiYmIgk8nQoEGDIk0yKa6SrKmVxiexhNy7dw+TJk3C48ePIZfLoaOjg4yMDFSuXBl6enpM6N4rTof5kjJ//nysWbMGixcvVhrVpKlHjx4JCYienp4wUmzkyJFwcXHB7Nmzix2vpnKaHhdH3bp1ER0djUaNGql8PDo6WuO+TM+fP8fhw4dx6NAhxMXFoUePHti6dSv+85//IC0tDZs2bcL8+fPx22+/FXgeKU4fmTlzJl69eoWFCxcWeVOEtgZ7lxRzc3NMnjwZkydPxs2bN3H8+HFs3rwZXl5euHbtWqnFkbPRSi6X4969ewq7/vT09GBjY4Nx48aVWjwkrtjYWJW7WatUqYLY2FgA2Rfx6ozuSk9Px5o1axAYGIj09HTI5XLo6elh1KhRmDFjhtIO05JUktM5mNDlsWLFCtjY2ODnn3+Gg4MDjhw5gpSUFHh4eGD69OlihycZxekwX1ImT56M9PR09O7dG3p6eko7tjRpLFyrVi0hiatTpw7u3LkDKysrJCUlqVxFKik3b95U+7nqFO537twZ69evR+fOnZXeLFNTUzVu2jlx4kSEhISgcePGGD58OAYMGKCwqqOvrw8XFxf4+fkVei4pTh/Rxs5iqe8kzC0jIwPv3r1Denp6scfCaSpnB+C8efOwYMGCIjdwpvKhRYsWWLlyJVatWoUPPvgAAPDvv/9i1apVwqpdTEyMWhegq1evRnBwMJYsWSKsjkdERGDNmjWQy+Wluvu1JGtqmdDlcePGDezevRsGBgaoVKkSMjIyYGNjgzlz5sDT01OUnXZSJMWGsYsWLdLaudq2bYsLFy6gWbNm6NOnD5YtW4bQ0FCEhYWpvWFAGwYNGgSZTKY0uDkvdXfxTpo0CadOnUKvXr0wcuRIodHm/fv3sWfPHsjlco0mQRgbG2PPnj3COJ38nnP27Fm1ziWF6SO5WVhYCBMiikvbg7215cGDBzh27BiOHz+OuLg4/Oc//8G3336r9sSc9PR0zJkzBzNnztTKrWMpvrdQ6Vu2bBnc3NzQtWtXhV3vjRo1wsaNGwFkX4ROmjSp0HMdP34cK1asULhYbdCgAYyNjbFw4cJSTehKcjoHE7o85HK5cPvQ2NgYz549Q5MmTVC3bl1hriBlz6X09fVValPw6tUrTJ48WZRdoNqcBOHu7o60tDQAwFdffQUdHR1ERkaiT58+ar2BaIs6iZAmTExMsHfvXnh4eGDt2rVCoiiTydCxY0csWrQItWvXVvt8ucfy5Ecmk2k0Sq1x48aiNwDNoY2dxVL2+eefIyoqCtbW1hgxYgT69u0rrIaoS1dXFxcuXFC4jVQcaWlp2LlzJy5evIiEhASlXca8qK4YGjVqhOPHjyMkJAQPHjwAkH2B5+DgIJQ+dO/eXa1zpaSkqJxbbW5urtYtW20qyZpaJnR5WFpa4vbt2zA3N0eLFi2wdetW6OjoYP/+/aIVLktR3l5vOdLS0vD333+XWhxJSUnCh2phxfyafPjmfm6lSpUwYcKEogVYTCUxU7ZevXrw9/fHy5cvERMTAyC7+L+oBfBXr15FWFgYEhISlFYSC+vvJPXpIzn/38eNG6dQPycvJ70NO3XqBB8fH1hYWBTrPD169MDp06cxfvz4Ysfk4eGBM2fOoHfv3oXOZ6byTSaToVOnTujUqVOxzmNlZYXdu3dj8eLFCsd37doFa2vrYp1bUyVZU8uELo+JEyciNTUVQPbV+YQJE+Di4gIjIyOsW7dO5OjEl7umKzo6WiEJyMzMREhISKkOO27fvr3Qs8re3l7lm39RPnzj4uJUHpfJZNDX1xd1xNGzZ89U7sD+5JNPNDpPzZo10aJFi2LFsm3bNvj4+KBhw4bCbZEc6nwQS336iBgrzaUp90in169fQyaTFamez8zMDJs3b0ZERARsbW2VzqFJ1/uzZ89i/fr1om4UIXFs374dI0aMgL6+vsKYLFU0+ZmaM2cOJkyYgNDQUKE85MqVK4iPj4e/v3+xYtZUSdbUclKEGpKSklCzZk1eKSL7Sifn30HVj06VKlWwcOFCrYxrUcelS5dgZ2eHypUr49KlSwU+V5Ndorn/nqpUr14dn3/+OebMmVNqbVuePXuG2bNnIzw8XKiryx2jGKtFnTt3xpdffolRo0aV+muTdgQGBsLf3x/Pnj0DkL3LztXVVaOh4U5OTvk+JpPJNCodcHR0xI4dOyQ1SJ1Kh5OTEw4ePAgjIyOt/kwB2e+fP/74o0J97ogRI0p1AaKkMaEjjcTGxkIul6N79+44cOCAwkqVrq4uTExMSn13XEn45Zdf4OPjg2HDhgmrWNeuXcO+ffswdepUJCcnY/PmzRgxYgSmTZtWKjF9/fXXSEpKwqJFizB48GBs3boVCQkJ2LBhA+bNm1eqmzVytGnTBj///LPK+hRNSGn6iLZ3FkvZDz/8AD8/P4wfP15h99/27dsxceJEUUoNdu3ahbt372LJkiW8iCbSAG+5Ivs26+rVq1G9evVCd/iJ0V9NSnJqum7fvi1yJMru3r2LSpUqCVf2Fy5cwOHDh2FpaQlXV1eNEs2goCDMmzdPYadf+/bt0bhxY+zatQt79uyBiYkJvv/++1JL6MLDw+Hn5wcLCwvIZDIYGxujTZs20NPTw/r160VJ6Pr27Ys//vhDo9UcVXR1dVG5cmVJfIBre2exlO3duxeenp7o16+fcKx9+/Zo2LAh1q5dW6SE7vnz5zA2Ni6wgXVBQkNDERERgT///BMWFhZKK+AV/T2Y1Kduk/SyvrkpBxM6ZPdUy1GrVi1JfKhI3S+//AJDQ0NhGLuvry/2798PS0tLeHl5KdVTlYb58+dj9OjRaNKkCZ48eYLJkyejXbt2CAwMxKtXrzTahXf16lV4enoqHbe0tMT169cBAK1atcLTp0+1Fn9h3r59K/ys1qpVCwkJCWjcuDEsLCwKrD/Ttty1Laampvj+++8RGRmJZs2aKTXo1KTORSrTR7S9s1jKEhIS8PHHHysdb9GiBZ4/f672edLT07F27VoEBQUhLS0Np06dgrm5OXx8fGBmZqZRwm9kZIQePXqo/Xwqv4qz4QpAvnXVuclkMty6datYcUoFEzoo9j1avHixyqa0pMjX1xfz588HkH2Lys/PD9OmTcOff/4Jb29vfPfdd6Ue0/3794UBzKdOnUKLFi3g7++PixcvYv78+RoldGZmZti3b59Sf6L9+/fD1NQUQPYYrdIcjdSkSRPcv38f9evXh5WVFfbu3QtTU1P8+OOPpVoHktMANoeBgQEuX76My5cvKxyXyWQaJXRSmT5SEjuLpapRo0Y4duwYpkyZonD8+PHjGrWO8fX1xW+//QYfHx+FKSo5v4OaJHTsQ0dA8TdcAQVvavrzzz+xa9eucvVZz4Qul8zMTLRt2xZHjhzBRx99JHY4khYXFye84f/666/o3r07vvzyS3Ts2FErrQuKIjMzU1ghCgsLE5pINmjQQKPVBgCYO3cupk6dij/++ENYwbhx4wYePnyI77//HgBw/fp19OnTR4t/g4K5uLgIfw83Nze4uroiODgYenp6WLlyZanFce7cuRI5rxSnj+TQ1s5iqZk6dSqmT5+OiIgI2NnZAcieqBIeHo7169erfZ7g4GCsWLEC7dq1U/iwtbS0xD///KPtsKkC2LVrFxYuXFisDVeqNsLdunULq1atQkREBIYNG4bJkycXJ0xJYUKXi46ODszMzFT2VyNF+vr6wmisixcvYtCgQQCyd3/mHC9tTZs2RVBQELp27YqwsDDMnDkTQPaHce7b6uro0qULTp06haCgIKGppZOTE4YNGwYzMzMAKHbdmKY+++wz4c82NjY4d+4c7t+/D1NTU1HbqOTI+f9erVq1In2/FFdmpLizWJt69uyJ/fv3Y8eOHTh//jyA7JXgAwcOCKvd6oiPjxd+L3LLzMxEZmamxnEdPHgQwcHBiIuLU3o/rki3xCuyV69eaTSGsDCPHj3CunXrcPLkSfTo0QO//PJLuesty4Quj8mTJ2P16tXw8fGRxIekVLVp0wbe3t6ws7PDjRs3hKv5f/75B3Xr1hUlptmzZ8PNzQ0BAQFwdnZGs2bNAGSvKBWl35qZmZnWut+XBF1dXTRq1KjICZS27NixAzt27BDaXnz44YcYO3YsRo8erVE9qhSnj6xYsQKVKlVCcHCwyp3F5YGtrS1Wr15drHN89NFHiIiIQP369RWOnzhxQuOdwFu3bsWWLVswdOhQhIeHY8SIEYiJiUFERATGjRtXrDip7NDWhqsXL15g48aN2Lt3L+zs7BAUFFTs/ptSxYQuj4CAADx+/BiOjo6oW7euUh0Px85kW7RoETw8PHDq1Cl4eHgINVx//PFHsbt6F5WtrS3CwsLw6tUrhdq2oUOHKv1/VOXmzZuwtrZGpUqVCm1dUZrtKsLCwvDixQt8+umnwrEtW7bg+++/R2ZmJtq3b4+1a9cqJUKlYdWqVdi/fz/Gjx+v0LBz48aNiI+PxzfffKP2uaQyfSQ3Ke4s1ra0tDQcO3YM9+7dA5A9v7Zfv36oUqWK2ueYMmUK5syZgydPniArKwsnTpwQZsRu2bJFo3gOHDiApUuXonfv3tizZw9GjRoFc3NzbNy4Md+G31Q+aHvD1ebNm7Ft2zbUq1cPmzZtgqOjo9ZjlhL2ocvD19e3wMfzFg+TNGRmZqJFixbFqn+0srLChQsXYGJiIjQWVvXrUdrtKsaOHQtHR0fhDezatWv44osvMHjwYFhYWGDbtm3o379/qQ6YztGuXTvhwze3kydPYvHixfjrr78KPUdO8jxo0CAEBASonD7y008/lVjtXkHs7Oxw9OhR1K9fH05OTli1ahXatm2LR48eoV+/frh69Wqpx6RNN2/exMSJE/H27Vs0bdoUAHDnzh3o6enBz89PowuXP//8E35+frh58yaysrLQvHlzuLm5CTvh1dWyZUucOHECZmZmaN++PQICAmBtbY2YmBgMGTKk0AbiVHYV1Ew4N3UbC1tZWaFKlSr4z3/+U+DdgvLSCocrdHkwYdNMWFgY7t27B5lMBgsLC9jb24sShzbqH8+ePSvcZpdSnc7//d//Kdz6PXHiBFq3bi3MPq1bty7WrVsnSkIHQLi1nfdY3qHq+cnp+yaTyVTeUsuZPiIGqewsLinu7u6ws7ODl5eXMG7ozZs3mD9/Ptzd3XHo0KF8v9fX1xfjx49H1apVERcXh44dO2pldb527dp48eIFzMzMYGZmhsuXLwsJHVtKlW/avmhzdnauUD8zTOhUSEtLw2+//YaHDx9i2LBhMDQ0xMOHD2FoaFhuGhAW17Nnz+Dm5oabN28KW8rj4+Nha2sLX19fUT7silv/mLtdhZRaVyQnJ8PExET4+vLlywq3Dj7++GPEx8eLERoGDBiAwMBApYQrKCgIAwYMUOscZ8+elez0EansLC4pd+/exapVqxRmRxoYGMDNzU3Y6JSfTZs2Yfjw4ahatSq6desmzFQuLnt7e5w7dw42NjYYPHgwvLy8cOLECdy6datUd5WTtGRkZCAtLU2jmuHy8DuqCSZ0ecTExGDs2LF4/fo1UlJS0KdPHxgaGiIoKAjJyclYvny52CFKwrJly6Cjo4PTp08LY58ePXqEOXPmYPny5diwYUOpx6Tt+sfU1FRERUUhMTFRabUp9wSJkvbBBx/g4cOHMDU1xbt373Dr1i18/fXXwuOvX7+Gnp5eqcWT27t373D8+HGEhIQINXRXr15FfHw8+vfvL6wiAvk3ApXy9BGp7ywuriZNmiA+Pl6pTOHff/9Fo0aNCvzeOnXq4OTJk+jSpQvkcjmePn2KtLQ0lc9VtQM2P56ensLv2/Dhw1GzZk1ERkaiV69eGDp0qNrnobJJyjXDUseELo8VK1bAwcEBHh4eaNu2rXDcycmp3Oxq04YLFy5g9+7dCjM8zc3NsWDBAowZM0aUmLTZwyw0NBQzZ85UOTqmtGvoHB0d4ePjg1mzZuHcuXOoWrWqMHcTAKKjo0Xbfp+7mXNsbCyA7FtmtWvXForsAfUagUpx+kheUtlZrC3Tp0/HsmXL4ObmhpYtWwLITsg3b96MWbNmKfz85707MXHiRHh6emLZsmWQyWQYPHiw0vlz2rxo8vtSqVIlhbFhn376qcKHO5VvW7ZsUbgDce3aNaxZs0ahZnjz5s2ilZhIGRO6PC5fvox9+/Yp3eIxNTUV7baWVKn6kBazXkGb9Y/Lly9Hly5dMGPGDNFrpaZNm4apU6di7NixMDAwgLe3t8KK3MGDB9GhQwdRYss7NaI4pDR9pKKsEuTMrp41a5bwu5uzESin4Wp+SdnQoUPRp08fxMbGYuDAgdi6dWuRS1IK21WeW2nuMKfSJ/WaYSljQqdCRkaG0rEnT56gRo0aIkQjTe3bt4enpyfWrFkjjMKKi4vDihUr0L59e9Hi0lb9Y2xsLDZv3ix6MgcAxsbGCAwMREpKCgwMDJQuNtavX69QA1VWSWn6SEVZJShOb7+cTRHW1tbw8vJC27ZtNWp1klvOxpjCmi6U9uo4lT4p1wxLHRO6PBwcHLB9+3asWLFCOPbq1Sts2LBBq12ry7qFCxdi0qRJ6N69u8KmiKZNm4q2I1Gb9Y92dnZ48OCBpDqJ53dBIfZGnYsXL+bb1V+ThEFK00cqyiqBqtFI6sq9KWL+/PlwdHQsckInpV3lJC4p1wxLHRO6PObOnQsXFxf06tUL7969w4wZM/Dw4UOYmJhoNNuwvDM1NcXhw4cRGhqK+/fvA8huSCrWrT+g+PWPuW/7DBs2DN7e3kKSWrmy4q8Kb/tkO3ToEBYvXowePXrg0qVL6NatG/755x88fvxYYUOBOqQ0faSirRIUZVatNjdFSGlXOYlLyjXDUseELo86dergyJEjOH78OG7duoWsrCwMHToU/fv3L/LVZ3klk8ng4OAgmW75xa1/VHXbx93dXel5vO3zPwEBAVi0aBGGDBmC1q1bY9asWTA3N8fSpUs1vg0spekjFWWVoDizarW9KSI1NRWrVq3CmTNnkJGRgQ4dOmDBggXlYjcxqU/KNcNSx4Quj/DwcLRu3VrpzSkjIwPh4eEFXrGWd7nHshRGnbEsJaE49Y+87aO5R48eCTWTenp6wq3RkSNHwsXFBbNnz1b7XHXr1lXZsX3BggXaCVYDFWWVoDizarW5KQIANmzYgMOHD6N///7Q19fH8ePH4eHhIUoLJBJPRakZLglM6PJwcXFR2SAzJSUFLi4uFXplRt0djTKZTJSErrj1j7zto7latWoJSVydOnVw584dWFlZISkpCW/fvi3SOaUwfaSirBIUd1atoaEhDA0N4eXlhXbt2hVr1fLXX3/F8uXL0bdvXwDZPQCHDx+OzMxM0RpLk3ikWjMsZUzo8sh7yyFHUlKSWgPeyzMxZmmq48qVK2jVqpVW6h+fPHmCV69ewdLSUjh28eJFbNq0CW/evEHPnj0xYcKEkvqrlDlt27bFhQsX0KxZM/Tp0wfLli1DaGgowsLCNL4VL6XpIxVlleDt27cwMjICkP1BmZCQgMaNG8PCwgLR0dFqn2fgwIHFjuXp06cKta8tWrSAjo4O4uPjhZ30RJQ/JnTv5fRjkslkmDNnDnR1dYXHsrKycOfOHbRu3Vqs8KgAo0aNgqurK6ZMmVLs+kcvLy80aNBAuFUYFxeHSZMmoV69ejA3N8eGDRtQtWpV/Pe//y3Jv1KZ4e7uLhTCf/XVV9DR0UFkZCT69OmDSZMmaXQuKU4fKe+rBNqaVdu6desCe1BGRkYWeo7MzEyF910ge0azqjIKIlLGhO69nKtUuVwOQ0NDhQRAV1cXbdq0wZAhQ8QKTzJ+//13LFmyBEePHkX16tUVHktJScGAAQPg6elZqhsl/P39sWDBAvz+++/w8fFRWZytruvXr8PFxUX4+tixY/jggw/w888/o3Llyti2bRsOHTrEhO693IlNpUqVirV6KcXpI+WdtmbVuru7KyR0GRkZuHXrFk6fPi1cLBdGLpcrXUy/e/cO7u7uCu/HquosiYgJncDLywtAdh3VuHHjysXtlJIQGBiI8ePHKyVzQPZqhqurK3bu3FmqCV379u1x9OhRrFixAoMGDcL06dOLXMOXkJCg0GIhpxVHTtsSJycnfqDkYm1trbLm9MWLF+jQoYPGNadSmz5S3mlrVu3nn3+u8njz5s1x8eJFtS6AVN221bT1DVFFxoQuj5xxNzn+/fdfnD9/HhYWFrCzsxMpKumIjo7G3Llz833c3t5elISnevXqWLFiBTp37owZM2Zgw4YNSomAOrd9DA0NkZSUJCR1169fxxdffCE8LpPJeAsol/w6+797907p9llhpDp9pCLR9qxae3t7hU1KBcm5qCaiomFCl8eECRPQqVMnjB49Gq9fv8agQYOQmpqKN2/eYPny5XB2dhY7RFElJiYqDM7OSyaTqRxoXxquX7+O9evXo2HDhhg3bpxSM2B1tGjRAjt27MCKFStw8uRJvHnzRmGX5T///MMCbfyvhY1MJkNQUJBCApCZmYmIiAg0adJEo3NKcfpIeVVas2qDg4OFchYiKllM6PK4ceMG5syZAyB7G3316tVx9uxZHDt2DNu2bavwCV3dunURHR2NRo0aqXw8Ojq61OefZmRkwNfXF1u3bsXw4cMxe/Zs6OvrF+lc06ZNw5gxY9CyZUtkZWXhq6++Qs2aNYXHg4ODizUuqbzIaWEjl8vx008/KST5urq6qF+/PpYsWaLROaU4faS80vas2v79+ysde/78OV6+fAkPDw9thU1EBWBCl8ebN2+Eq9KQkBD06NEDurq6sLe3x9KlS0WOTnydO3fG+vXr0blzZ6Wdo6mpqaLMvB08eDBevnwJf3//Yt+as7Kywi+//ILIyEh88MEHaNmypcLjffv2hYWFRbFeozzIaWHz3//+F76+vgpJb3FIbfpIeaXtWbU9e/ZUKHHI6WnXrl07/r4QlRImdHmYmpoiMjISXbt2RUhIiNC/7OXLlxz9BWDSpEk4deoUevXqhZEjRwq31e7fv489e/ZALpervatNWywtLbFo0SK1pkGow9jYGN27d1f5WJcuXbTyGuVF3mbTGRkZSEtLU7sGqyxMHymPtD2rdurUqVqNj4g0x4Quj7Fjx+Kbb76BgYEBzMzMhFFf4eHhaNq0qcjRic/ExAR79+6Fh4cH1q5dKxTFy2QydOzYEYsWLULt2rVLNSYfH59SfT3SXg2W1KePlFfamlXL+atE0iGT57dNrQK7fv06nj59ig4dOggrDefPn0eNGjUU5jlWdC9fvkRMTAwAoGHDhlq77UbSN3bsWDg6OgpJ1rVr1/DFF18o1GD1799f7Vt2VLo8PDxw48YNYVbt0aNH8eeffwpJ3NGjR7F7924cOHCgwPN4e3sjKChIYf5qu3btOH+VSARM6IhIYw4ODvDz84OtrS2A7A/2K1euICgoCEB2Tda6detw6tQpMcOkfCQmJmLq1Kn4+++/hVm1PXr0EB4fPXo0WrVqhRkzZhR4nu7du2PGjBnC/NVr165h+PDhuHbtGuevEpUy3nJFdh3PiBEjoK+vX2hND2/7EGm3BkuK00fKO23NquX8VSLpYEKH7DoeZ2dn6OvrF1jTwzoeomzaqsECpDl9pKIo7qxazl8lkg4mdPhfC4a8fyZSpVu3imqjRQAAEVRJREFUbujUqRNmzJhRYesGHR0d4ePjI9RgVa1aVaG+NDo6Gg0aNFDrXFKdPkKF4/xVIunIv+U/KYiNjVVYgaCK65NPPsG9e/eEuqGKaNq0adDX18fYsWNx8OBBLFu2TGFF7uDBg2o3BJby9BEq2MCBA/Hhhx/CyMhI+O+zzz6DqampwjEiKnlcoVNTSkoKTp8+LXYYJAErV64EALx69UrkSMSjrRosQJrTR0g9nL9KJB1coSMqIlU1XxVNjRo1VO5mrFWrlto1dDnTR96+fav0mFjTR4iIyhqu0BG9x93O4pDi9BEiorKGfejUdPv2bQwcOBBRUVFih0IlxMnJCQcPHoSRkRGcnJzyfZ5MJsPZs2dLMbLyLzY2Fh4eHggJCVE5fcTc3FzkCImIpI0J3XuFrQC8fv0aERERTOiIShCnjxARFQ1vub5X2E4sIyMj1K9fv5SiIaqYatasiRYtWogdBhFRmcMVOqL3Cquby401dEREJCVM6IjeK6huLjfW0BERkdQwoSMiIiIq49iHjoiIiKiM46YIonycP38e/v7+uHv3LmQyGT766CN8+eWXbHJLRESSwxU6IhUOHDiAKVOmoEGDBpg9ezZmzZqF+vXrw83NDT/99JPY4RERESlgDR2RCj179oSLiwtGjRqlcHz37t3Ys2cPTp06JVJkREREyrhCR6RCXFwcOnXqpHTc0dERsbGxIkRERESUPyZ0RCqYmZnhwoULSsdDQkJQr149ESIiIiLKHzdFEKkwbtw4LFu2DLdu3ULr1q0BAJGRkThy5Ajc3d1Fjo6IiEgRa+iI8vHrr78iICAA9+/fBwA0adIE48ePR/fu3UWOjIiISBETOiIiIqIyjjV0RCpcunQJly5dUnk8PDxchIiIiIjyx4SOSAUvLy8kJycrHX/16hW8vLxEiIiIiCh/TOiIVHjw4AGaNWumdNzS0hIPHjwQISIiIqL8MaEjUkFfXx///vuv0vFnz55BV1dXhIiIiIjyx4SOSIWOHTti9erVePnypXAsKSkJa9asQceOHUWMjIiISBl3uRKpEB8fj1GjRiEhIUG49RodHQ0TExPs3r0bderUETlCIiKi/2FCR5SP1NRUHDt2DFFRUQCA5s2bo1+/fqhatarIkRERESliQkdERERUxrGGjoiIiKiMY0JHREREVMYxoSMiIiIq45jQEREREZVxTOiIiIiIyrjKYgdAJFUHDx5EcHAw4uLikJ6ervDY2bNnRYqKiIhIGVfoiFTYunUrvL29YWNjg9jYWHTv3h2WlpZ4+fIlBg0aJHZ4RERECrhCR6TCgQMHsHTpUvTu3Rt79uzBqFGjYG5ujo0bNyIuLk7s8IiIiBRwhY5IhadPn6JFixYAgCpVquDVq1cAgH79+uH06dNihkZERKSECR2RCrVr18aLFy8AAGZmZrh8+TIAICYmBjKZTMzQiIiIlPCWK5EK9vb2OHfuHGxsbDB48GB4eXnhxIkTuHXrFvr06SN2eERERAo4y5VIhaysLGRlZaFy5exrnl9++QWRkZFo1KgRhg4dCl1dXZEjJCIi+h8mdERERERlHG+5Er138+ZNWFtbo1KlSrh582aBz7WxsSmlqIiIiArHFTqi96ysrHDhwgWYmJjAysoKMpkMqn49ZDIZoqKiRIiQiIhINSZ0RO/FxsbCzMwMMpkMsbGxBT63Xr16pRQVERFR4ZjQEREREZVxrKEjykdqaiqioqKQmJiIrKwshcd69uwpUlRERETKmNARqRAaGoqZM2ciKSlJ6THW0BERkdTwliuRCn379sXHH3+MGTNmoE6dOmKHQ0REVCCu0BGpEBsbi82bNzOZIyKiMoGzXIlUsLOzw4MHD8QOg4iISC1coSN6L3cz4WHDhsHb2xvx8fFo2rSpMAIsBxsLExGRlLCGjui9gpoJ58ZNEUREJDVM6IjeK6yZcG5sLExERFLChI6IiIiojOOmCCIV1q5di6CgIKXjQUFBWLdunQgRERER5Y8JHZEKR44cQfPmzZWO29jY4MiRIyJERERElD8mdEQqJCQkwNjYWOm4kZERnj9/LkJERERE+WNCR6SCmZkZIiIilI6Hh4ejbt26IkRERESUP/ahI1Jh6NCh8PLyQnp6Ouzt7QEAYWFhWLNmDVxdXUWOjoiISBF3uRLl47vvvsPOnTuRnp4OANDV1YWLiwtmz54tcmRERESKmNARFeDNmze4e/cuAMDCwgLVqlUTOSIiIiJlTOiIiIiIyjjW0BG9N3HiRKxevRrVq1fHxIkTC3zuDz/8UEpRERERFY4JHdF7RkZGwp9r1aoFmUwmYjRERETq4y1XIhVSU1Ohp6cHHR0dsUMhIiIqFPvQEeWRmZmJtm3b4sGDB2KHQkREpBYmdER56OjowMzMTGhXQkREJHVM6IhUmDx5MlavXo3ExESxQyEiIioUa+iIVOjfvz8eP36M9PR01K1bF1WrVlV4/NixYyJFRkREpIy7XIlU6NWrl9ghEBERqY0rdERERERlHGvoiPKRlpaGkydPYsuWLUhOTgYAPHz4EElJSSJHRkREpIi3XIlUiImJwdixY/H69WukpKSgT58+MDQ0RFBQEJKTk7F8+XKxQyQiIhJwhY5IhRUrVsDBwQGhoaHQ19cXjjs5OeGvv/4SMTIiIiJlXKEjUuHy5cvYt2+f0qQIU1NTxMfHixQVERGRalyhI8pHRkaG0rEnT56gRo0aIkRDRESUPyZ0RCo4ODhg+/btCsdevXqFDRs2oHPnziJFRUREpBrblhCp8OzZM7i4uAAAHj9+DGtrazx8+BAmJiYIDAyEsbGxyBESERH9DxM6ony8ffsWx48fx61bt5CVlQUbGxv0798fVapUETs0IiIiBUzoiIiIiMo47nIlysfTp08RHh6OhIQE5L3uGTt2rEhRERERKeMKHZEKR48exfz581G5cmWlejmZTIazZ8+KFBkREZEyJnREKnTv3h2ffvopvv76a6VedERERFLDtiVEKiQkJGDIkCFM5oiIqExgQkekgqOjI65evSp2GERERGrhLVei906fPi38OSkpCZs2bcKAAQPQrFkzVK6suH+oZ8+epR0eERFRvpjQEb1nZWWl1vNkMhmioqJKOBoiIiL1MaEjIiIiKuNYQ0dERERUxjGhI1Jh3rx5CAgIUDq+fft2LFiwQISIiIiI8seEjkiFP/74A/b29krH7e3t8fvvv4sQERERUf6Y0BGpkJycDAMDA6XjVatWxcuXL0WIiIiIKH9M6IhUaNSokcqVuPPnz6Nhw4YiRERERJS/yoU/hajiGTduHBYvXozExETh1mtYWBh27tyJRYsWiRwdERGRIrYtIcrH3r17sXnzZjx79gwAUKdOHUycOBHDhw8XOTIiIiJFTOiICpGYmAgAMDY2FjkSIiIi1VhDR6RCVlYWsrKyAGQncpmZmThw4AAiIyNFjoyIiEgZV+iIVHB1dUWnTp0wevRovH79Gn369EFqairevHmD5cuXw9nZWewQiYiIBFyhI1Lhxo0bwmaIX3/9FdWrV0doaCg8PT2xbds2kaMjIiJSxISOSIU3b97A0NAQABASEoIePXpAV1cX9vb2ePTokcjRERERKWJCR6SCqakpIiMj8ebNG4SEhKBDhw4AgJcvX6JKlSoiR0dERKSIfeiIVBg7diy++eYbGBgYwMzMDJ988gkAIDw8HE2bNhU5OiIiIkXcFEGUjxs3buDJkyfo0KEDqlWrBiB7UkSNGjXQpk0bkaMjIiL6HyZ0RERERGUca+iIchk2bBiSk5OFr7/77jskJSUJXycmJqJLly4iREZERJQ/JnREuVy5cgXp6enC14GBgUhJSRG+zsrKEkaBERERSQUTOqICsCKBiIjKAiZ0RERERGUcEzqiXGQyGWQymdhhEBERaYR96IhykcvlmDNnDnR1dQEA7969g7u7u9BMOHd9HRERkVQwoSPKZeDAgQpff/bZZ0rPcXZ2Lq1wiIiI1MI+dERERERlHGvoiIiIiMo4JnREREREZRwTOiIiIqIyjgkdEVEpmzt3Lr766iuxwyCicoSbIoioQklMTMSGDRvwxx9/ID4+HoaGhrC0tMSECRPg4OBQKjGkpKRALpfD0NCwVF6PiMo/ti0hogpl6tSpSE1NxfLly9GgQQMkJCQgPDwcSUlJpRZDjRo1Su21iKhi4AodEVUYycnJ+OSTT7B9+3Z06NBB5XOcnJwwcOBAxMTE4OzZszAwMMC4ceMwfvx44TkpKSlYtWoVzpw5g7dv38LGxgbffvstPv74Y+E5V65cwZo1a3Dt2jXo6OjAxsYGPj4+qFOnDubOnYsXL17Az88PQHZD661bt2Lfvn2Ij49Hw4YN4erqigEDBgjn8/X1xcGDB/Hvv/+iZs2acHBwwKpVq0roX4qIyhqu0BFRhWFgYAADAwOcO3cObdq0gb6+vsrnbd++HV9++SXc3Nzw119/YdmyZTA3N0fPnj0hl8sxYcIE1KhRA35+fqhZsyYOHz6M0aNH4+TJk/jwww9x+/ZtuLi4YMCAAZg3bx709PQQHh6OzMxMla+3bt06nDx5EosWLULjxo1x5coVuLu7o2bNmujSpQtOnTqFgIAArFmzBk2bNkVCQgKuXr1akv9URFTGMKEjogqjcuXKWLlyJdzd3bFv3z40b94cdnZ26N27N1q2bCk8r2XLlpg0aRIAoHHjxrh+/Tq2b9+Onj174uLFi7h9+zbCwsKEkXDTp0/Hb7/9hiNHjuDLL7+Ev78/rK2t4enpKZzTwsJCZUxv3rzB9u3bERAQgLZt2wIAzM3Nce3aNQQGBqJLly6Ii4vDBx98AAcHB+jq6sLMzExhNZCIiAkdEVUovXr1QpcuXRAREYHLly8jJCQEAQEBmDFjBiZOnAgAaNWqlcL3tGrVCr/++isA4ObNm0hNTUX79u0VnpOWloZHjx4BAKKiotCjRw+14rl79y7S0tLg6uoKmUwmHE9PT0e9evUAAL1798auXbvQrVs3dOzYEZ06dUK3bt2gp6dXtH8EIip3mNARUYWjr68PBwcHODg4YMqUKViwYAF8fX0xbty4Qr83KysLtWvXRmBgoNJj1atX1ziWnDLmzZs3w8zMTOGxypWz36JNTU1x8uRJhIWFITQ0FN7e3ti4cSP2798PAwMDjV+TiMofJnREVOF99NFHyMjIwLt37wBAqT7t6tWraNKkCQDAxsYGz58/R6VKlWBubq7yfNbW1rh48aJar21hYQE9PT3ExcUprfrlpq+vjy5duqBLly5Ci5XIyEh07NhRrdchovJNx8PDw0PsIIiISsOLFy/w1VdfoVKl7J7qqampCA0Nxbp169CqVSt88cUX2LlzJ/755x8AQO3atXH69Gn4+fnhm2++wUcffQRzc3OEhYXh8OHDqFevHnR0dHD//n0cOHAAOjo6MDMzQ4MGDbBp0yY8efIEZmZmSE5OxpkzZ2BkZIQaNWoIu2P79+8PPT09pKWlwc/PD0ZGRqhWrRqePHmCM2fO4NatW7C1tcWhQ4dw48YNVK5cGampqTh27BgiIiLg5uaGmjVrivgvSkRSwRU6IqowqlWrhlatWmHXrl14+PAh3r17hzp16qBfv37CJggAGDt2LKKjo/HDDz+gatWqmDZtGnr37g0AkMlk2LJlC9atWwd3d3ckJibCxMQEdnZ2cHZ2BpC9Qrd9+3asXbsWX3zxBfT09GBra4vOnTurjGv69OmoXbs2AgIC4OHhgerVq8Pa2hqurq4AAENDQ/j7+8Pb2xsZGRmwsLDA999/n+8KIRFVPOxDR0SUi5OTE0aOHKnQd46ISOo4y5WIiIiojGNCR0RERFTG8ZYrERERURnHFToiIiKiMo4JHREREVEZx4SOiIiIqIxjQkdERERUxjGhIyIiIirjmNARERERlXH/DxVeY3YcN6ykAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*Listeria monocytogenes, Vibrio cholerae and Mycotoxins were responsible for high rate of fatalities.*"
      ],
      "metadata": {
        "id": "fpg3Jqb3tuIl"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zbK2qbmAb7ay"
      },
      "source": [
        "#### Q2: What are top 10 ingredients related to Salmonella enterica related foodborne outbreaks?"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Salmonella_ingredient=Confirmed_cases[\n",
        "    Confirmed_cases['Species']=='Salmonella enterica'\n",
        "    ]\n",
        "Salmonella_ingredient=Salmonella_ingredient['Ingredient'].value_counts().reset_index()\n",
        "Salmonella_ingredient.columns=['Ingredient','Number of Outbreaks']\n",
        "Salmonella_ingredient.head(10)                                                                                              "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "XHlSZO7zLoZa",
        "outputId": "46a28889-7e67-41a2-a34b-e636b33ff2e1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              Ingredient  Number of Outbreaks\n",
              "0         Not identified                 1490\n",
              "1                    Egg                   80\n",
              "2                Chicken                   54\n",
              "3                   Pork                   27\n",
              "4                 Turkey                   20\n",
              "5                   Beef                   16\n",
              "6               Egg; Egg                    6\n",
              "7  Vine-Stalk Eg. Tomato                    6\n",
              "8                Sprouts                    5\n",
              "9                 Tomato                    4"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4c0d6302-6438-466f-8d20-3f8bb56a0ed6\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Ingredient</th>\n",
              "      <th>Number of Outbreaks</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Not identified</td>\n",
              "      <td>1490</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Egg</td>\n",
              "      <td>80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Chicken</td>\n",
              "      <td>54</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Pork</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Turkey</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Beef</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Egg; Egg</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Vine-Stalk Eg. Tomato</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Sprouts</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Tomato</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4c0d6302-6438-466f-8d20-3f8bb56a0ed6')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-4c0d6302-6438-466f-8d20-3f8bb56a0ed6 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-4c0d6302-6438-466f-8d20-3f8bb56a0ed6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*There is no identified responsible ingredient for large number of outbreaks.  \n",
        "Egg and chicken are two main suspects when it comes to Salmonella outbreaks.*"
      ],
      "metadata": {
        "id": "cfvMEe-VwMPm"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l1DG3cEOb7ay"
      },
      "source": [
        "#### Q3: What are the most common Salmonella enterica Srotypes/Genotypes? "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "SF4281Ysb7ay",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c84c0755-78ea-4fc2-bd1c-5e2a79bf2fb5"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Enteritidis       575\n",
              "Typhimurium       223\n",
              "Newport           140\n",
              "Heidelberg        127\n",
              "Javiana            55\n",
              "I 4,[5],12:i:-     48\n",
              "Braenderup         46\n",
              "Montevideo         45\n",
              "Not identified     41\n",
              "Infantis           39\n",
              "Name: Serotype/Genotype, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ],
      "source": [
        "Confirmed_cases[\n",
        "    Confirmed_cases['Species']=='Salmonella enterica'\n",
        "    ]['Serotype/Genotype'].value_counts().head(10)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*As expected Salmonella enterica serovar Enteritidis and Typhimurium are responsible of majority of Salmonella outbreaks.*"
      ],
      "metadata": {
        "id": "2rPhnTtU0ird"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1VzrOuczb7ay"
      },
      "source": [
        "#### Q4: What are the top 10 ingredients in all outbreaks? And what are the pathogenes/toxins related to them?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ImesQrRfb7ay",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0ecd9b14-b3d7-4edf-9d84-bf70980c28a0"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Not identified    5737\n",
              "Fin Fish           127\n",
              "Chicken             88\n",
              "Egg                 83\n",
              "Beef                67\n",
              "Pork                57\n",
              "Turkey              37\n",
              "Milk                36\n",
              "Tuna                30\n",
              "Ground Beef         28\n",
              "Name: Ingredient, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ],
      "source": [
        "Prominent_ingredients=Confirmed_cases['Ingredient'].value_counts().sort_values(ascending=False).head(10)\n",
        "Prominent_ingredients"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "iy49JwTUb7ay",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 510
        },
        "outputId": "fc318f76-aff0-4741-8c06-407eb858eebf"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 648x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.xticks(rotation=90)\n",
        "plt.ylabel('Count')\n",
        "plt.title('Fin Fish Related Outbreaks Detected Species/Toxins')\n",
        "plt.xlabel('Species/Toxins')\n",
        "sns.countplot(data=Confirmed_cases[Confirmed_cases['Ingredient']=='Fin Fish'],\n",
        "              x='Species',\n",
        "              palette='Purples_r');"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*Fin Fish related foodborne outbreaks are largely caused by Scombroid/Ciguatoxin or Histamine.*"
      ],
      "metadata": {
        "id": "E_I3VSLD8VO9"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6RZS3F6Zb7ay"
      },
      "source": [
        "#### Q5: What are the largest 10 outbreaks?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fUGxAm5Pb7ay",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 685
        },
        "outputId": "6e3253ae-8a93-40b9-fb53-42996e9103f9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           State State code  Year Month                   Location  \\\n",
              "2770  California         CA  2006   May                Prison/Jail   \n",
              "3734  Multistate        NaN  2008   Apr             Not identified   \n",
              "2717    Colorado         CO  2006   Apr             Not identified   \n",
              "1371    Illinois         IL  2002   Sep                Prison/Jail   \n",
              "96      Illinois         IL  1998   Jun           Catering Service   \n",
              "6629  Multistate        NaN  2015   Jul             Not identified   \n",
              "1774   Louisiana         LA  2003   Nov                Prison/Jail   \n",
              "801    Tennessee         TN  2001   Jan                 Restaurant   \n",
              "3366    Illinois         IL  2007   Jun  Restaurant; Fair/Festival   \n",
              "3075    New York         NY  2006   Nov                 Restaurant   \n",
              "\n",
              "                                                   Food      Ingredient  \\\n",
              "2770                            Other Milk, Pasteurized  Not identified   \n",
              "3734  Peppers, Jalapeno; Tomato, Unspecified; Pepper...  Not identified   \n",
              "2717                                     Not identified  Not identified   \n",
              "1371  Gravy, Beef; Roast Beef, Unspecified; Potato, ...  Not identified   \n",
              "96                         Potato Salad; Macaroni Salad  Not identified   \n",
              "6629                                           Cucumber  Not identified   \n",
              "1774                                  Corn, Unspecified  Not identified   \n",
              "801                                      Not identified  Not identified   \n",
              "3366                                             Hummus  Not identified   \n",
              "3075                                     Not identified  Not identified   \n",
              "\n",
              "                                Species Serotype/Genotype     Status  \\\n",
              "2770               Campylobacter jejuni    Not identified  Confirmed   \n",
              "3734                Salmonella enterica         Saintpaul  Confirmed   \n",
              "2717              Norovirus genogroup I    Not identified  Confirmed   \n",
              "1371            Clostridium perfringens    Not identified  Confirmed   \n",
              "96    Escherichia coli, Enterotoxigenic                O6  Confirmed   \n",
              "6629                Salmonella enterica             Poona  Confirmed   \n",
              "1774            Clostridium perfringens    Not identified  Confirmed   \n",
              "801              Norovirus genogroup II           Unknown  Confirmed   \n",
              "3366                Salmonella enterica        Heidelberg  Confirmed   \n",
              "3075                  Norovirus unknown    Not identified  Confirmed   \n",
              "\n",
              "      Illnesses  Hospitalizations  Fatalities  \n",
              "2770       1644                 7           0  \n",
              "3734       1500               308           2  \n",
              "2717       1200                 1           0  \n",
              "1371        950                 1           0  \n",
              "96          916                 7           0  \n",
              "6629        907               204           6  \n",
              "1774        880                35           0  \n",
              "801         811                 0           0  \n",
              "3366        802                29           0  \n",
              "3075        766                27           0  "
            ],
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              "      <th>2770</th>\n",
              "      <td>California</td>\n",
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              "      <td>Not identified</td>\n",
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              "      <th>96</th>\n",
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              "      <td>1998</td>\n",
              "      <td>Jun</td>\n",
              "      <td>Catering Service</td>\n",
              "      <td>Potato Salad; Macaroni Salad</td>\n",
              "      <td>Not identified</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>2015</td>\n",
              "      <td>Jul</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Cucumber</td>\n",
              "      <td>Not identified</td>\n",
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              "      <td>Confirmed</td>\n",
              "      <td>907</td>\n",
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              "      <td>6</td>\n",
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              "      <th>1774</th>\n",
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              "      <td>Nov</td>\n",
              "      <td>Prison/Jail</td>\n",
              "      <td>Corn, Unspecified</td>\n",
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              "      <td>880</td>\n",
              "      <td>35</td>\n",
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              "    <tr>\n",
              "      <th>801</th>\n",
              "      <td>Tennessee</td>\n",
              "      <td>TN</td>\n",
              "      <td>2001</td>\n",
              "      <td>Jan</td>\n",
              "      <td>Restaurant</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Not identified</td>\n",
              "      <td>Norovirus genogroup II</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>3366</th>\n",
              "      <td>Illinois</td>\n",
              "      <td>IL</td>\n",
              "      <td>2007</td>\n",
              "      <td>Jun</td>\n",
              "      <td>Restaurant; Fair/Festival</td>\n",
              "      <td>Hummus</td>\n",
              "      <td>Not identified</td>\n",
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              "      <td>Not identified</td>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ],
      "source": [
        "Confirmed_cases.sort_values(by='Illnesses',\n",
        "                            ascending=False).head(10)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "plt.title('Top Largest 500 Outbreaks Cases/Hospitalizations')\n",
        "sns.scatterplot(data=Confirmed_cases.sort_values(by='Illnesses',\n",
        "                            ascending=False).head(500),\n",
        "                hue='Fatalities',\n",
        "                x='Illnesses',\n",
        "                y='Hospitalizations');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 525
        },
        "id": "yz5jxb8mCgPB",
        "outputId": "059ee2e9-4297-4521-d9c6-5c54d90706d0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*It is interesting that top ten largest outbreaks has 0-6 number of fatalities.*"
      ],
      "metadata": {
        "id": "DFmFlp6BBSt2"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WrXoLOanb7ay"
      },
      "source": [
        "Let us save and upload our work to Jovian before continuing."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JtadQ7Itb7ay"
      },
      "source": [
        "## Inferences and Conclusion\n",
        "\n",
        "It is clear that despite the increasing prevention and early warning methods, it is evident that Food-borne disease outbreaks will be around for quite some time."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NopzpJlcb7az"
      },
      "source": [
        "## References and Future Work\n",
        "\n",
        "- References.   \n",
        "    \n",
        "    1) Lee H, Yoon Y. Etiological Agents Implicated in Foodborne Illness World Wide. Food Sci Anim Resour. 2021 Jan;41(1):1-7. doi: 10.5851/kosfa.2020.e75. Epub 2021 Jan 1. PMID: 33506212; PMCID: PMC7810395.\n",
        "    \n",
        "    2) Robert Koch Institute [RKI] Final presentation and evaluation of epidemiological findings in the EHEC O104:H4 outbreak, Germany 2011. RKI; Berlin, Germany: 2011.\n",
        "    \n",
        "    3) World Health Organization [WHO] [Access at July 21, 2020];WHO estimates of the global burden of foodborne diseases. 2015\n",
        "\n",
        "    4) WHO Food Safety Publication V4\n",
        "\n",
        "    5) https://multimedia.efsa.europa.eu/fbo-storymaps/index.html# "
      ]
    }
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