Olympics_Data_Analysis.ipynb

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  "metadata": {
    "colab": {
      "name": "Olympics Data Analysis",
      "provenance": [],
      "mount_file_id": "1JTWSc5XvbWc2uu9joJHfIFx2EtAqrnAz",
      "authorship_tag": "ABX9TyN5swKy9pmy8i6QtlJk8MvY",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/swarnava-96/Exploratory-Data-Analysis-EDA/blob/main/Olympics_Data_Analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vXom_R-kZ1JX"
      },
      "source": [
        "# **Exploratory Data Analysis on 120 years of Olympics Data**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pfWKP28XZ10x",
        "outputId": "9c69a312-b486-4002-b60c-216ab3689f91"
      },
      "source": [
        "cd \"/content/drive/MyDrive/Datasets\""
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/MyDrive/Datasets\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YlF5EFf4b_w8"
      },
      "source": [
        "### Importing the necessary libraries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wCoq-jYBcG6j"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "%matplotlib inline"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8eWt2FAraGcl"
      },
      "source": [
        "### Loading the Datasets"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D7A0an3SZ3Dv"
      },
      "source": [
        "athletes = pd.read_csv(\"athlete_events.csv\")\n",
        "region = pd.read_csv(\"noc_regions.csv\")"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "hU6aZOCDcwd8",
        "outputId": "d4bbb9ce-70ca-4b2d-c007-fc81ece10d6e"
      },
      "source": [
        "# Checking the first 5 rows of the dataset athlete\n",
        "\n",
        "athletes.head()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Name</th>\n",
              "      <th>Sex</th>\n",
              "      <th>Age</th>\n",
              "      <th>Height</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Team</th>\n",
              "      <th>NOC</th>\n",
              "      <th>Games</th>\n",
              "      <th>Year</th>\n",
              "      <th>Season</th>\n",
              "      <th>City</th>\n",
              "      <th>Sport</th>\n",
              "      <th>Event</th>\n",
              "      <th>Medal</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>A Dijiang</td>\n",
              "      <td>M</td>\n",
              "      <td>24.0</td>\n",
              "      <td>180.0</td>\n",
              "      <td>80.0</td>\n",
              "      <td>China</td>\n",
              "      <td>CHN</td>\n",
              "      <td>1992 Summer</td>\n",
              "      <td>1992</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Barcelona</td>\n",
              "      <td>Basketball</td>\n",
              "      <td>Basketball Men's Basketball</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>A Lamusi</td>\n",
              "      <td>M</td>\n",
              "      <td>23.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>China</td>\n",
              "      <td>CHN</td>\n",
              "      <td>2012 Summer</td>\n",
              "      <td>2012</td>\n",
              "      <td>Summer</td>\n",
              "      <td>London</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Men's Extra-Lightweight</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Gunnar Nielsen Aaby</td>\n",
              "      <td>M</td>\n",
              "      <td>24.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Denmark</td>\n",
              "      <td>DEN</td>\n",
              "      <td>1920 Summer</td>\n",
              "      <td>1920</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Antwerpen</td>\n",
              "      <td>Football</td>\n",
              "      <td>Football Men's Football</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>Edgar Lindenau Aabye</td>\n",
              "      <td>M</td>\n",
              "      <td>34.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Denmark/Sweden</td>\n",
              "      <td>DEN</td>\n",
              "      <td>1900 Summer</td>\n",
              "      <td>1900</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Paris</td>\n",
              "      <td>Tug-Of-War</td>\n",
              "      <td>Tug-Of-War Men's Tug-Of-War</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>Christine Jacoba Aaftink</td>\n",
              "      <td>F</td>\n",
              "      <td>21.0</td>\n",
              "      <td>185.0</td>\n",
              "      <td>82.0</td>\n",
              "      <td>Netherlands</td>\n",
              "      <td>NED</td>\n",
              "      <td>1988 Winter</td>\n",
              "      <td>1988</td>\n",
              "      <td>Winter</td>\n",
              "      <td>Calgary</td>\n",
              "      <td>Speed Skating</td>\n",
              "      <td>Speed Skating Women's 500 metres</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   ID                      Name  ...                             Event  Medal\n",
              "0   1                 A Dijiang  ...       Basketball Men's Basketball    NaN\n",
              "1   2                  A Lamusi  ...      Judo Men's Extra-Lightweight    NaN\n",
              "2   3       Gunnar Nielsen Aaby  ...           Football Men's Football    NaN\n",
              "3   4      Edgar Lindenau Aabye  ...       Tug-Of-War Men's Tug-Of-War   Gold\n",
              "4   5  Christine Jacoba Aaftink  ...  Speed Skating Women's 500 metres    NaN\n",
              "\n",
              "[5 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "B_pFDBEjc-P9",
        "outputId": "8a14cded-daa7-4627-f2a4-021538be4ac1"
      },
      "source": [
        "# Checking the first 5 rows of the dataset region\n",
        "\n",
        "region.head()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>NOC</th>\n",
              "      <th>region</th>\n",
              "      <th>notes</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>AFG</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AHO</td>\n",
              "      <td>Curacao</td>\n",
              "      <td>Netherlands Antilles</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ALB</td>\n",
              "      <td>Albania</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ALG</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AND</td>\n",
              "      <td>Andorra</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   NOC       region                 notes\n",
              "0  AFG  Afghanistan                   NaN\n",
              "1  AHO      Curacao  Netherlands Antilles\n",
              "2  ALB      Albania                   NaN\n",
              "3  ALG      Algeria                   NaN\n",
              "4  AND      Andorra                   NaN"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mQV6nDYtdVn_"
      },
      "source": [
        "### Merging both the datasets"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "id": "OhcavMYwdEMY",
        "outputId": "2f3cb08a-424e-49f8-c69f-dbe0273e85ca"
      },
      "source": [
        "athletes_df = athletes.merge(region, how = 'left', on = 'NOC')\n",
        "athletes_df.head()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Name</th>\n",
              "      <th>Sex</th>\n",
              "      <th>Age</th>\n",
              "      <th>Height</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Team</th>\n",
              "      <th>NOC</th>\n",
              "      <th>Games</th>\n",
              "      <th>Year</th>\n",
              "      <th>Season</th>\n",
              "      <th>City</th>\n",
              "      <th>Sport</th>\n",
              "      <th>Event</th>\n",
              "      <th>Medal</th>\n",
              "      <th>region</th>\n",
              "      <th>notes</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>A Dijiang</td>\n",
              "      <td>M</td>\n",
              "      <td>24.0</td>\n",
              "      <td>180.0</td>\n",
              "      <td>80.0</td>\n",
              "      <td>China</td>\n",
              "      <td>CHN</td>\n",
              "      <td>1992 Summer</td>\n",
              "      <td>1992</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Barcelona</td>\n",
              "      <td>Basketball</td>\n",
              "      <td>Basketball Men's Basketball</td>\n",
              "      <td>NaN</td>\n",
              "      <td>China</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>A Lamusi</td>\n",
              "      <td>M</td>\n",
              "      <td>23.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>China</td>\n",
              "      <td>CHN</td>\n",
              "      <td>2012 Summer</td>\n",
              "      <td>2012</td>\n",
              "      <td>Summer</td>\n",
              "      <td>London</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Men's Extra-Lightweight</td>\n",
              "      <td>NaN</td>\n",
              "      <td>China</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Gunnar Nielsen Aaby</td>\n",
              "      <td>M</td>\n",
              "      <td>24.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Denmark</td>\n",
              "      <td>DEN</td>\n",
              "      <td>1920 Summer</td>\n",
              "      <td>1920</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Antwerpen</td>\n",
              "      <td>Football</td>\n",
              "      <td>Football Men's Football</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Denmark</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>Edgar Lindenau Aabye</td>\n",
              "      <td>M</td>\n",
              "      <td>34.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Denmark/Sweden</td>\n",
              "      <td>DEN</td>\n",
              "      <td>1900 Summer</td>\n",
              "      <td>1900</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Paris</td>\n",
              "      <td>Tug-Of-War</td>\n",
              "      <td>Tug-Of-War Men's Tug-Of-War</td>\n",
              "      <td>Gold</td>\n",
              "      <td>Denmark</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>Christine Jacoba Aaftink</td>\n",
              "      <td>F</td>\n",
              "      <td>21.0</td>\n",
              "      <td>185.0</td>\n",
              "      <td>82.0</td>\n",
              "      <td>Netherlands</td>\n",
              "      <td>NED</td>\n",
              "      <td>1988 Winter</td>\n",
              "      <td>1988</td>\n",
              "      <td>Winter</td>\n",
              "      <td>Calgary</td>\n",
              "      <td>Speed Skating</td>\n",
              "      <td>Speed Skating Women's 500 metres</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Netherlands</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   ID                      Name Sex  ...  Medal       region  notes\n",
              "0   1                 A Dijiang   M  ...    NaN        China    NaN\n",
              "1   2                  A Lamusi   M  ...    NaN        China    NaN\n",
              "2   3       Gunnar Nielsen Aaby   M  ...    NaN      Denmark    NaN\n",
              "3   4      Edgar Lindenau Aabye   M  ...   Gold      Denmark    NaN\n",
              "4   5  Christine Jacoba Aaftink   F  ...    NaN  Netherlands    NaN\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VcTZLQcegt0U"
      },
      "source": [
        "### Exploratory Data Analysis (EDA)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mwdsAUKUez5-",
        "outputId": "1d69ddaf-6de9-43bd-aade-75a30e583ad4"
      },
      "source": [
        "athletes_df.shape"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(271116, 17)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "id": "DlP23KkbfNKT",
        "outputId": "0079f7de-2fcf-4d9a-f516-4bb8b6f779f2"
      },
      "source": [
        "# Making the columns consistent\n",
        "\n",
        "athletes_df.rename(columns = {'region' : 'Region', 'notes' : 'Notes'}, inplace = True)\n",
        "athletes_df.head()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Name</th>\n",
              "      <th>Sex</th>\n",
              "      <th>Age</th>\n",
              "      <th>Height</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Team</th>\n",
              "      <th>NOC</th>\n",
              "      <th>Games</th>\n",
              "      <th>Year</th>\n",
              "      <th>Season</th>\n",
              "      <th>City</th>\n",
              "      <th>Sport</th>\n",
              "      <th>Event</th>\n",
              "      <th>Medal</th>\n",
              "      <th>Region</th>\n",
              "      <th>Notes</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>A Dijiang</td>\n",
              "      <td>M</td>\n",
              "      <td>24.0</td>\n",
              "      <td>180.0</td>\n",
              "      <td>80.0</td>\n",
              "      <td>China</td>\n",
              "      <td>CHN</td>\n",
              "      <td>1992 Summer</td>\n",
              "      <td>1992</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Barcelona</td>\n",
              "      <td>Basketball</td>\n",
              "      <td>Basketball Men's Basketball</td>\n",
              "      <td>NaN</td>\n",
              "      <td>China</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>A Lamusi</td>\n",
              "      <td>M</td>\n",
              "      <td>23.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>China</td>\n",
              "      <td>CHN</td>\n",
              "      <td>2012 Summer</td>\n",
              "      <td>2012</td>\n",
              "      <td>Summer</td>\n",
              "      <td>London</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Men's Extra-Lightweight</td>\n",
              "      <td>NaN</td>\n",
              "      <td>China</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Gunnar Nielsen Aaby</td>\n",
              "      <td>M</td>\n",
              "      <td>24.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Denmark</td>\n",
              "      <td>DEN</td>\n",
              "      <td>1920 Summer</td>\n",
              "      <td>1920</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Antwerpen</td>\n",
              "      <td>Football</td>\n",
              "      <td>Football Men's Football</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Denmark</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>Edgar Lindenau Aabye</td>\n",
              "      <td>M</td>\n",
              "      <td>34.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Denmark/Sweden</td>\n",
              "      <td>DEN</td>\n",
              "      <td>1900 Summer</td>\n",
              "      <td>1900</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Paris</td>\n",
              "      <td>Tug-Of-War</td>\n",
              "      <td>Tug-Of-War Men's Tug-Of-War</td>\n",
              "      <td>Gold</td>\n",
              "      <td>Denmark</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>Christine Jacoba Aaftink</td>\n",
              "      <td>F</td>\n",
              "      <td>21.0</td>\n",
              "      <td>185.0</td>\n",
              "      <td>82.0</td>\n",
              "      <td>Netherlands</td>\n",
              "      <td>NED</td>\n",
              "      <td>1988 Winter</td>\n",
              "      <td>1988</td>\n",
              "      <td>Winter</td>\n",
              "      <td>Calgary</td>\n",
              "      <td>Speed Skating</td>\n",
              "      <td>Speed Skating Women's 500 metres</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Netherlands</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   ID                      Name Sex  ...  Medal       Region  Notes\n",
              "0   1                 A Dijiang   M  ...    NaN        China    NaN\n",
              "1   2                  A Lamusi   M  ...    NaN        China    NaN\n",
              "2   3       Gunnar Nielsen Aaby   M  ...    NaN      Denmark    NaN\n",
              "3   4      Edgar Lindenau Aabye   M  ...   Gold      Denmark    NaN\n",
              "4   5  Christine Jacoba Aaftink   F  ...    NaN  Netherlands    NaN\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Jvte1KKofue_",
        "outputId": "4f5af7b0-1db2-4081-b9ec-9285abddd08a"
      },
      "source": [
        "# Checking the info\n",
        "\n",
        "athletes_df.info()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 271116 entries, 0 to 271115\n",
            "Data columns (total 17 columns):\n",
            " #   Column  Non-Null Count   Dtype  \n",
            "---  ------  --------------   -----  \n",
            " 0   ID      271116 non-null  int64  \n",
            " 1   Name    271116 non-null  object \n",
            " 2   Sex     271116 non-null  object \n",
            " 3   Age     261642 non-null  float64\n",
            " 4   Height  210945 non-null  float64\n",
            " 5   Weight  208241 non-null  float64\n",
            " 6   Team    271116 non-null  object \n",
            " 7   NOC     271116 non-null  object \n",
            " 8   Games   271116 non-null  object \n",
            " 9   Year    271116 non-null  int64  \n",
            " 10  Season  271116 non-null  object \n",
            " 11  City    271116 non-null  object \n",
            " 12  Sport   271116 non-null  object \n",
            " 13  Event   271116 non-null  object \n",
            " 14  Medal   39783 non-null   object \n",
            " 15  Region  270746 non-null  object \n",
            " 16  Notes   5039 non-null    object \n",
            "dtypes: float64(3), int64(2), object(12)\n",
            "memory usage: 37.2+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "w1OzuE_kgGx5",
        "outputId": "70d4b7a1-0501-4306-c051-12aa318ed0ea"
      },
      "source": [
        "# Lets use the describe function for displaying statistical summary\n",
        "\n",
        "athletes_df.describe()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Age</th>\n",
              "      <th>Height</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Year</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>271116.000000</td>\n",
              "      <td>261642.000000</td>\n",
              "      <td>210945.000000</td>\n",
              "      <td>208241.000000</td>\n",
              "      <td>271116.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>68248.954396</td>\n",
              "      <td>25.556898</td>\n",
              "      <td>175.338970</td>\n",
              "      <td>70.702393</td>\n",
              "      <td>1978.378480</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>39022.286345</td>\n",
              "      <td>6.393561</td>\n",
              "      <td>10.518462</td>\n",
              "      <td>14.348020</td>\n",
              "      <td>29.877632</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>127.000000</td>\n",
              "      <td>25.000000</td>\n",
              "      <td>1896.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>34643.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>168.000000</td>\n",
              "      <td>60.000000</td>\n",
              "      <td>1960.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>68205.000000</td>\n",
              "      <td>24.000000</td>\n",
              "      <td>175.000000</td>\n",
              "      <td>70.000000</td>\n",
              "      <td>1988.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>102097.250000</td>\n",
              "      <td>28.000000</td>\n",
              "      <td>183.000000</td>\n",
              "      <td>79.000000</td>\n",
              "      <td>2002.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>135571.000000</td>\n",
              "      <td>97.000000</td>\n",
              "      <td>226.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>2016.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                  ID            Age  ...         Weight           Year\n",
              "count  271116.000000  261642.000000  ...  208241.000000  271116.000000\n",
              "mean    68248.954396      25.556898  ...      70.702393    1978.378480\n",
              "std     39022.286345       6.393561  ...      14.348020      29.877632\n",
              "min         1.000000      10.000000  ...      25.000000    1896.000000\n",
              "25%     34643.000000      21.000000  ...      60.000000    1960.000000\n",
              "50%     68205.000000      24.000000  ...      70.000000    1988.000000\n",
              "75%    102097.250000      28.000000  ...      79.000000    2002.000000\n",
              "max    135571.000000      97.000000  ...     214.000000    2016.000000\n",
              "\n",
              "[8 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SYvLQl7Zgeux",
        "outputId": "e8f659a0-a7aa-43e5-f1e6-7e30502d7368"
      },
      "source": [
        "# Checking Null values\n",
        "\n",
        "athletes_df.isnull().sum()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ID             0\n",
              "Name           0\n",
              "Sex            0\n",
              "Age         9474\n",
              "Height     60171\n",
              "Weight     62875\n",
              "Team           0\n",
              "NOC            0\n",
              "Games          0\n",
              "Year           0\n",
              "Season         0\n",
              "City           0\n",
              "Sport          0\n",
              "Event          0\n",
              "Medal     231333\n",
              "Region       370\n",
              "Notes     266077\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "alr1BefjhLBC",
        "outputId": "7f93cc9d-8c34-463d-85ff-adcf2453e488"
      },
      "source": [
        "# Alternative way of checking null values\n",
        "\n",
        "nan_values = athletes_df.isna()\n",
        "nan_columns = nan_values.any()\n",
        "nan_columns"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ID        False\n",
              "Name      False\n",
              "Sex       False\n",
              "Age        True\n",
              "Height     True\n",
              "Weight     True\n",
              "Team      False\n",
              "NOC       False\n",
              "Games     False\n",
              "Year      False\n",
              "Season    False\n",
              "City      False\n",
              "Sport     False\n",
              "Event     False\n",
              "Medal      True\n",
              "Region     True\n",
              "Notes      True\n",
              "dtype: bool"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "78eKjtlVqMiV",
        "outputId": "faf36f0b-df80-4a7b-d25b-d04abb5507f9"
      },
      "source": [
        "# India details\n",
        "\n",
        "athletes_df.query('Team == \"India\"').head()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Name</th>\n",
              "      <th>Sex</th>\n",
              "      <th>Age</th>\n",
              "      <th>Height</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Team</th>\n",
              "      <th>NOC</th>\n",
              "      <th>Games</th>\n",
              "      <th>Year</th>\n",
              "      <th>Season</th>\n",
              "      <th>City</th>\n",
              "      <th>Sport</th>\n",
              "      <th>Event</th>\n",
              "      <th>Medal</th>\n",
              "      <th>Region</th>\n",
              "      <th>Notes</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>505</th>\n",
              "      <td>281</td>\n",
              "      <td>S. Abdul Hamid</td>\n",
              "      <td>M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>India</td>\n",
              "      <td>IND</td>\n",
              "      <td>1928 Summer</td>\n",
              "      <td>1928</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Amsterdam</td>\n",
              "      <td>Athletics</td>\n",
              "      <td>Athletics Men's 110 metres Hurdles</td>\n",
              "      <td>NaN</td>\n",
              "      <td>India</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>506</th>\n",
              "      <td>281</td>\n",
              "      <td>S. Abdul Hamid</td>\n",
              "      <td>M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>India</td>\n",
              "      <td>IND</td>\n",
              "      <td>1928 Summer</td>\n",
              "      <td>1928</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Amsterdam</td>\n",
              "      <td>Athletics</td>\n",
              "      <td>Athletics Men's 400 metres Hurdles</td>\n",
              "      <td>NaN</td>\n",
              "      <td>India</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>895</th>\n",
              "      <td>512</td>\n",
              "      <td>Shiny Kurisingal Abraham-Wilson</td>\n",
              "      <td>F</td>\n",
              "      <td>19.0</td>\n",
              "      <td>167.0</td>\n",
              "      <td>53.0</td>\n",
              "      <td>India</td>\n",
              "      <td>IND</td>\n",
              "      <td>1984 Summer</td>\n",
              "      <td>1984</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Los Angeles</td>\n",
              "      <td>Athletics</td>\n",
              "      <td>Athletics Women's 800 metres</td>\n",
              "      <td>NaN</td>\n",
              "      <td>India</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>896</th>\n",
              "      <td>512</td>\n",
              "      <td>Shiny Kurisingal Abraham-Wilson</td>\n",
              "      <td>F</td>\n",
              "      <td>19.0</td>\n",
              "      <td>167.0</td>\n",
              "      <td>53.0</td>\n",
              "      <td>India</td>\n",
              "      <td>IND</td>\n",
              "      <td>1984 Summer</td>\n",
              "      <td>1984</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Los Angeles</td>\n",
              "      <td>Athletics</td>\n",
              "      <td>Athletics Women's 4 x 400 metres Relay</td>\n",
              "      <td>NaN</td>\n",
              "      <td>India</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>897</th>\n",
              "      <td>512</td>\n",
              "      <td>Shiny Kurisingal Abraham-Wilson</td>\n",
              "      <td>F</td>\n",
              "      <td>23.0</td>\n",
              "      <td>167.0</td>\n",
              "      <td>53.0</td>\n",
              "      <td>India</td>\n",
              "      <td>IND</td>\n",
              "      <td>1988 Summer</td>\n",
              "      <td>1988</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Seoul</td>\n",
              "      <td>Athletics</td>\n",
              "      <td>Athletics Women's 800 metres</td>\n",
              "      <td>NaN</td>\n",
              "      <td>India</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      ID                             Name Sex  ...  Medal  Region  Notes\n",
              "505  281                   S. Abdul Hamid   M  ...    NaN   India    NaN\n",
              "506  281                   S. Abdul Hamid   M  ...    NaN   India    NaN\n",
              "895  512  Shiny Kurisingal Abraham-Wilson   F  ...    NaN   India    NaN\n",
              "896  512  Shiny Kurisingal Abraham-Wilson   F  ...    NaN   India    NaN\n",
              "897  512  Shiny Kurisingal Abraham-Wilson   F  ...    NaN   India    NaN\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6umnaT6osqGS",
        "outputId": "1086b84e-2fad-4724-c5e3-d69f5ff2d89c"
      },
      "source": [
        "# Top countries participating\n",
        "\n",
        "top_10_countries = athletes_df[\"Team\"].value_counts(ascending = False).head(10)\n",
        "top_10_countries"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "United States    17847\n",
              "France           11988\n",
              "Great Britain    11404\n",
              "Italy            10260\n",
              "Germany           9326\n",
              "Canada            9279\n",
              "Japan             8289\n",
              "Sweden            8052\n",
              "Australia         7513\n",
              "Hungary           6547\n",
              "Name: Team, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 390
        },
        "id": "lXm0QTpnuMb1",
        "outputId": "6bc59c8d-25a6-4025-e0fb-540bab320b0c"
      },
      "source": [
        "# Plotting for the top 10 countries\n",
        "\n",
        "plt.figure(figsize = (12,6))\n",
        "plt.title(\"Overall Participation by Coutry\")\n",
        "sns.barplot(x = top_10_countries.index, y = top_10_countries, palette = 'Set2');"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        },
        "id": "HmPFZgUZvG-d",
        "outputId": "4ee8c2fc-0f04-47cd-8db1-dba7f3d2346a"
      },
      "source": [
        "# Age distribution of Participants\n",
        "\n",
        "plt.figure(figsize = (12,6))\n",
        "plt.title(\"Age Distribution of the athletes\")\n",
        "plt.xlabel(\"Age\")\n",
        "plt.ylabel(\"Number of participants\")\n",
        "plt.hist(athletes_df.Age, bins = np.arange(10,80,2), color = '#DFFF00', edgecolor = 'white');"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AH5yHpjLxzy1",
        "outputId": "1e54ff55-1b69-4be8-9c68-ddf2b34796ee"
      },
      "source": [
        "# Winter Olympics sports\n",
        "\n",
        "winter_sports = athletes_df[athletes_df.Season == 'Winter'].Sport.unique()\n",
        "winter_sports"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Speed Skating', 'Cross Country Skiing', 'Ice Hockey', 'Biathlon',\n",
              "       'Alpine Skiing', 'Luge', 'Bobsleigh', 'Figure Skating',\n",
              "       'Nordic Combined', 'Freestyle Skiing', 'Ski Jumping', 'Curling',\n",
              "       'Snowboarding', 'Short Track Speed Skating', 'Skeleton',\n",
              "       'Military Ski Patrol', 'Alpinism'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wz_gpWmay-C3",
        "outputId": "3dca063c-0b6a-43c2-80d2-c51924c4f3c1"
      },
      "source": [
        "# Summer Olympics sports\n",
        "\n",
        "summer_sports = athletes_df[athletes_df.Season == 'Summer'].Sport.unique()\n",
        "summer_sports"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Basketball', 'Judo', 'Football', 'Tug-Of-War', 'Athletics',\n",
              "       'Swimming', 'Badminton', 'Sailing', 'Gymnastics',\n",
              "       'Art Competitions', 'Handball', 'Weightlifting', 'Wrestling',\n",
              "       'Water Polo', 'Hockey', 'Rowing', 'Fencing', 'Equestrianism',\n",
              "       'Shooting', 'Boxing', 'Taekwondo', 'Cycling', 'Diving', 'Canoeing',\n",
              "       'Tennis', 'Modern Pentathlon', 'Golf', 'Softball', 'Archery',\n",
              "       'Volleyball', 'Synchronized Swimming', 'Table Tennis', 'Baseball',\n",
              "       'Rhythmic Gymnastics', 'Rugby Sevens', 'Trampolining',\n",
              "       'Beach Volleyball', 'Triathlon', 'Rugby', 'Lacrosse', 'Polo',\n",
              "       'Cricket', 'Ice Hockey', 'Racquets', 'Motorboating', 'Croquet',\n",
              "       'Figure Skating', 'Jeu De Paume', 'Roque', 'Basque Pelota',\n",
              "       'Alpinism', 'Aeronautics'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FuNSEhtXzVYn",
        "outputId": "8e56bf24-4900-450a-fa71-206ebc7d6174"
      },
      "source": [
        "# Male and Female participants\n",
        "\n",
        "gender_counts = athletes_df[\"Sex\"].value_counts()\n",
        "gender_counts"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "M    196594\n",
              "F     74522\n",
              "Name: Sex, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 373
        },
        "id": "kMvWbL5tzwgV",
        "outputId": "1a734131-7036-4ba7-b736-cc38acacf65e"
      },
      "source": [
        "# Pie Chart for male and female athletes\n",
        "explode = (0.1,0)\n",
        "plt.figure(figsize = (12,6))\n",
        "plt.title(\"Gender Distribution\")\n",
        "plt.pie(gender_counts, explode = explode, labels = gender_counts.index, autopct = '%1.1f%%', startangle = 150, shadow = True);"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WRjZyGUE0bor",
        "outputId": "05b986bb-6a1b-44bc-cfba-dcfe74392f92"
      },
      "source": [
        "# Total Medals\n",
        "\n",
        "total_medals = athletes_df[\"Medal\"].value_counts()\n",
        "total_medals"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Gold      13372\n",
              "Bronze    13295\n",
              "Silver    13116\n",
              "Name: Medal, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "wZRRV1r03doq",
        "outputId": "e6c38951-f4a9-4492-ae1a-91c6b873a3e2"
      },
      "source": [
        "# Total number of female athletes in Summer Olympics\n",
        "\n",
        "female_participants = athletes_df[(athletes_df.Sex == 'F') & (athletes_df.Season == 'Summer')][['Sex', 'Year']]\n",
        "female_participants = female_participants.groupby('Year').count().reset_index()\n",
        "female_participants.tail()"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Year</th>\n",
              "      <th>Sex</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>2000</td>\n",
              "      <td>5431</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>2004</td>\n",
              "      <td>5546</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>2008</td>\n",
              "      <td>5816</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>2012</td>\n",
              "      <td>5815</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>2016</td>\n",
              "      <td>6223</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Year   Sex\n",
              "23  2000  5431\n",
              "24  2004  5546\n",
              "25  2008  5816\n",
              "26  2012  5815\n",
              "27  2016  6223"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PmHbPSkX7fuR"
      },
      "source": [
        "woman_participants = athletes_df[(athletes_df.Sex == 'F') & (athletes_df.Season == 'Summer')]"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        },
        "id": "FSyR6OgM6rUI",
        "outputId": "3b6ab6c3-903e-4def-87d1-a5048211eb5c"
      },
      "source": [
        "# Plotting the women participation rate in summer olympics\n",
        "\n",
        "sns.set(style = 'darkgrid')\n",
        "plt.figure(figsize = (12,6))\n",
        "sns.countplot(x = 'Year', data = woman_participants, palette = 'Spectral')\n",
        "plt.title(\"Women Participation\")"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Women Participation')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        },
        "id": "FLQhJ5Io7YSg",
        "outputId": "9e3338c5-60aa-4c65-a457-c113cedb2401"
      },
      "source": [
        "# Line graph\n",
        "\n",
        "part = woman_participants.groupby('Year')['Sex'].value_counts()\n",
        "plt.figure(figsize = (12,6))\n",
        "part.loc[:,'F'].plot()\n",
        "plt.title(\"Plot of Female Athletes over Time\")"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Plot of Female Athletes over Time')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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nTvn4+Gj58uXy9PRURESELJamb4LFYlF4eLhyc3NlGEa7jgUHB3fhRwUAAIAzORyG/r3lkD5MzdHF46K0dM5wmc0mZ5fVKVoM1Xa7XVlZWRo5cqTuu+8+ffnll7rtttv05z//uTvqO6+QEOdcZiUszM8p46L16JHro0eujx65Pnrk+ujRmRoaHXrsv1/o49QcXTdjqJbOi29eBeEsndmjFkN1ZGSkrFZr83KNcePGKSgoSJ6ensrPz5fdbpfFYpHdbldBQYEiIyNlGEa7jrVFcXGVHA6jfZ+6ncLC/FRYWNmtY6Jt6JHro0eujx65Pnrk+ujRmeptdj25bp/Svi7R9dMH6/JJsSoqqnJqTS31yGw2tWkSt8U11cHBwZo8ebK2bdsmqenKHcXFxYqLi1N8fLw2bdokSdq0aZPi4+MVHByskJCQdh0DAABA71Jd16A/vpSq/UdL9IPLR+jyyQOcXVKXMBmG0eJ0b1ZWln75y1+qrKxMVqtVP/3pT3XJJZcoIyNDK1euVEVFhfz9/bVmzRoNGjRIktp9rLWYqca50CPXR49cHz1yffTI9dGjJmVV9Xr0pVTlldTo1vmjlDQi3NklNevsmepWhWpXRKjGudAj10ePXB89cn30yPXRI6mgrFZ/XLtHFdUNuuvaMRoV51qrEjo7VLOjIgAAADrVicIq/fGlVDU2OrTixgQNjgpwdkldjlANAACATpORXa4/vfKl3KxmrfzeeEWHOeeKbd2NUA0AANAHZeSUq6CktumO6YwbySSZTt47/ap3py6B9+0L4TU9bFJlrU1r3zuiQB8P/XxRgsICvbqoetdDqAYAAOhDyqvq9dL7X2lHen6XvH9MmK9+vnCcAnw9uuT9XRWhGgAAoA9wOAx9sCdbr3/0tRoa7Zo/NU5TRvdrPv7ta1cYhmScfkcn75980DjP6yJDfORmbfGqzb0OoRoAAKCXy8yr0AubDykzr1LxA4K05LJhigzxcXZZvQqhGgAAoJeqqWvUGx99rff3nJCft7tunT9Sk0dGOH178N6IUA0AANDLGIahnQfy9dJ7X6mi2qbp46N1zcWD5O3p5uzSei1CNQAAQC+SV1Kjf285pPTMUg3o56e7rxurgZH+zi6r1yNUAwAA9AINjXa9+ekxvbXjmNysZn1v9jBNT4yW2cxSj+5AqAYAAOjh0r4u1r+3HFZBWa0mj4zQwhlDFNjHLmnnbIRqAACAHqq0sl7/fe+Idh0sUESwt36+KEGj4oKdXVafRKgGAADoYewOh97fna03Pv5ajXZDV100UJdPHtAnrw/tKgjVAAAAPUhGTrn+tfmQjhdUafSgYC2ZPUzhQd7OLqvPI1QDAAD0ANV1DXrtwwxtTc1RgK+77rhqtCYMD+Oa0y6CUA0AAOCiDMNQYVmt9mYUa+P2TFXVNmj2xFhdOW2gvDyIca6EbgAAALiQ8qp6HThWqvRjpTqQWariijpJ0uAof/18YYL6R/g5uUKcC6EaAADAiWrqGnUoqylAHzhWquyiakmSt4dVIwYEae7k/hoZF6R+wd4s9XBhhGoAAIBu1NBo15ET5TpwrClEH82tkGFI7lazhsYEaMrofoofEKQBEX5s3NKDEKoBAAC6kN3hUGZeZfNM9JET5Wq0O2Q2mTQwyk9XTInTyAFBGhwdwCXxejBCNQAAQCcyDEPH8iq0bc8JHcgs1aGsMtXWN0qSYsJ8NWN8tEYMCNLw2EBONuxF6CQAAEAnqai26bFXvtSxvEpJUligpyaOCNfIuCCN6B8kfx93J1eIrkKoBgAA6ASllfV6+L97VFJRp9uuHqNBEb4KDfRydlnoJoRqAACADioqq9XDa/eooqZB9yxM0IXjY1VYWOnsstCNCNUAAAAdkF9So4fX7lFdvV0rFiVocFSAs0uCExCqAQAA2im7qFqP/HeP7A5Dv1icyMYsfRihGgAAoB2O51fqkbWpsphNuu974xUd6uPskuBEhGoAAIA2+jqnQo++lCpPD4vuXZSoiGBvZ5cEJyNUAwAAtMHhrDL96ZUv5eftpnsXJXKFD0giVAMAALTa/swSPfHqXgX7e+reGxMV5Ofh7JLgIgjVAAAArZD6VZGeeiNN/YK99PNFiQpgIxechlANAADQgl0HC/TXDfsVG+6rexYmyNfLzdklwcUQqgEAAL7Dp2l5evbNdA2OCtBPrx8nb0/iE87GTwUAAMB5fPRljv759kEN7x+ou68bK093ohPOjZ8MAACAc3h3V5b+8+4RjR4UrLuuHiN3N4uzS4ILI1QDAAB8y9s7jumVDzOUODRUt105Wm5Ws7NLgosjVAMAAJxkGIbWf3JUG7ZlalJ8uG5OHimrhUCNlhGqAQAA1BSoX/kwQ5t3Hte0MZH6weUjZDabnF0WeohWheoZM2bI3d1dHh5NFzhfsWKFLrroIqWmpmrVqlWqr69XdHS0Hn74YYWEhEhSu48BAAB0N4dh6D/vHNb7X2Rr+vhofW/2MJlNBGq0Xqv/PePxxx/X+vXrtX79el100UVyOBy69957tWrVKqWkpCgpKUmPPPKIJLX7GAAAQHdzOAz98+2Dev+LbM2ZFKslBGq0Q7sXCaWlpcnDw0NJSUmSpEWLFmnz5s0dOgYAANCd7A6Hnt2Uro/35mr+1DjdMH2ITARqtEOr11SvWLFChmFowoQJuueee5Sbm6uoqKjm48HBwXI4HCorK2v3scDAwE76WAAAAC17/q2D2pGer2svGaQrpsQ5uxz0YK0K1S+++KIiIyNls9n04IMP6oEHHtDs2bO7urbvFBLi65Rxw8L8nDIuWo8euT565ProkeujRx13JKtU29PydP3MoVo6b2Snvz89cn2d2aNWherIyEhJkru7uxYvXqzbb79dS5cuVU5OTvNzSkpKZDabFRgYqMjIyHYda4vi4io5HEabXtNRYWF+Kiys7NYx0Tb0yPXRI9dHj1wfPeoc/9y4Xz6eVl06NrLTv5/0yPW11COz2dSmSdwW11TX1NSosrJpQMMw9NZbbyk+Pl6jR49WXV2ddu3aJUlau3at5s6dK0ntPgYAANAdMvMq9GVGsS6bGCsvD64wjI5r8aeouLhYP/nJT2S32+VwODR48GCtXr1aZrNZDz30kFavXn3GpfEktfsYAABAd9jwSaZ8PK2aOSHW2aWglzAZhtG9ayg6Ccs/cC70yPXRI9dHj1wfPeqYY3mV+t9/fK6rLhqoBRcO7JIx6JHr6/blHwAAAL3Jhm1H5e1h1SxmqdGJCNUAAKDPOJZXqT1HinTZxFh5e7KWGp2HUA0AAPqMDduOysvDqllJMc4uBb0MoRoAAPQJx/ObZqlnJ8XI29PN2eWglyFUAwCAPmHjtkx5eVh12UTWUqPzEaoBAECvl1VQpd2HC5mlRpchVAMAgF6vaS21RbOZpUYXIVQDAIBe7URBlXYfKtSsCbHyYZYaXYRQDQAAerUN247K051ZanQtQjUAAOi1ThRWadehQs1KipWvF7PU6DqEagAA0Gtt3JYpT3cLV/xAlyNUAwCAXim7sEq7DhZo5oQYZqnR5QjVAACgV9q4PVPu7hbNmdTf2aWgDyBUAwCAXie7qFqfHyjQLGap0U0I1QAAoNfZuO2o3N1YS43uQ6gGAAC9Ss7JWeqZE2Lk5+3u7HLQRxCqAQBAr7Jpe6bc3SyaM4lZanQfQjUAAOg1courtTM9XzMmRDNLjW5FqAYAAL3Gxu2ZcnMzc8UPdDtCNQAA6BWaZ6nHx8ifWWp0M0I1AADoFTZtz5Sb1ay5zFLDCQjVAACgx8srqdGO9HzNSIyRvw+z1Oh+hGoAANDjbdqeKTeLWXMmM0sN5yBUAwCAHi2/pEaf7s/T9PHRCmCWGk5CqAYAAD3aqVnquZMHOLsU9GGEagAA0GPll9bo0/35ujSRWWo4F6EaAAD0WJu2Z8piMely1lLDyQjVAACgRyoordGnafm6NCFaAb4ezi4HfRyhGgAA9EibPj3WNEt9AbPUcD5CNQAA6HEKymq1fV+eLkmIUiCz1HABhGoAANDjvLk9U2azSZdzxQ+4CEI1AADoUQrLarU9LU+XJkQpyI9ZargGQjUAAOhR3vw0UyaTSZdfwCw1XAehGgAA9BhFZbXati9Pl4xjlhquhVANAAB6jDd3HJPJJM2bwiw1XAuhGgAA9AhF5bX6ZG+uLmaWGi6IUA0AAHqETdtPzlKzlhouiFANAABc3t6MIn30ZY6mJ8Yo2N/T2eUAZyFUAwAAl1ZcXqe/b0xX/3BfXXfpIGeXA5xTm0L1X/7yFw0fPlyHDx+WJKWmpmrBggWaM2eOli1bpuLi4ubntvcYAADAKY12h55Znya7w9DtV4+Wm9Xi7JKAc2p1qN6/f79SU1MVHR0tSXI4HLr33nu1atUqpaSkKCkpSY888kiHjgEAAJzu1Q8zlJFToR/Oi1dEkLezywHOq1Wh2maz6YEHHtBvfvOb5sfS0tLk4eGhpKQkSdKiRYu0efPmDh0DAAA4ZfehQm35PEszJ8Ro4ohwZ5cDfKdWheo///nPWrBggWJiYpofy83NVVRUVPP94OBgORwOlZWVtfsYAACAJBWU1er/3jqggZF+umH6EGeXA7TI2tIT9uzZo7S0NK1YsaI76mm1kBBfp4wbFubnlHHRevTI9dEj10ePXF9v7pGtwa4H/71bZrNJv1p2gSKCe+ayj97co96iM3vUYqj+/PPPlZGRoZkzZ0qS8vLy9KMf/Ug33XSTcnJymp9XUlIis9mswMBARUZGtutYWxQXV8nhMNr0mo4KC/NTYWFlt46JtqFHro8euT565Pp6e4/+teWQMk6U6yfXjpHZbu+Rn7W396g3aKlHZrOpTZO4LS7/uPXWW/XJJ5/o/fff1/vvv69+/frpueee080336y6ujrt2rVLkrR27VrNnTtXkjR69Oh2HQMAAH3bZwfy9cEX2Zo7qb8Sh4Y5uxyg1VqcqT4fs9mshx56SKtXr1Z9fb2io6P18MMPd+gYAADou/JKavT82wc1JDpA11zC9ajRs5gMw+jeNRSdhOUfOBd65ProkeujR66vN/bI1mDX717YpbIqm37zw4k9ftfE3tij3qbbl38AAAB0tRffOawThdW6Zf7IHh+o0TcRqgEAgFNt25erj/fmKnnqAI0ZFOLscoB2IVQDAACnyS6s0r9SDmlE/0BdOW2gs8sB2o1QDQAAnKLO1qin1qXJ08OqWxeMksVMLEHPxU8vAADodoZh6IWUQ8orqdGP549UoK+Hs0sCOoRQDQAAut1HX+Zox/58XTltoOLjgp1dDtBhhGoAANCtjudX6sV3jmjUwGAlT41zdjlApyBUAwCAblNb37SO2s/bTbfMHymzyeTskoBOQagGAADdwjAMPf/2QRWV1enHC0bJ39vd2SUBnYZQDQAAusX7X2Rr18ECXXvJIA2LDXR2OUCnIlQDAIAudzS3QmvfO6Jxg0M0Z3J/Z5cDdDpCNQAA6FLVdQ166o00Bfq660fJrKNG70SoBgAAXcYwDD236YDKqup121Wj5evl5uySgC5BqAYAAF0m5bMspX5VpBumD9HgqABnlwN0GUI1AADoEkdOlOnVDzM0YViYZiXFOLscoEsRqgEAQKerrLHpmfX7FRLgoR/Oi5eJddTo5QjVAACg072w+ZAqaxp0x1Vj5O1pdXY5QJcjVAMAgE5VUFqj3YcLNe+C/hrQz8/Z5QDdglANAAA61Udf5spkki5JiHZ2KUC3IVQDAIBO02h36JO9ORo3OFRBfh7OLgfoNoRqAADQafYcKVJFTYMuTYxydilAtyJUAwCATvPhnmyF+Hto9MAQZ5cCdCtCNQAA6BT5pTU6cKxUF4+LktnMJfTQtxCqAQBAp/goNUdmk0nTxrL0A30PoRoAAHRYo92hT/blatyQEE5QRJ9EqAYAAB32xeFCVdY06NJELqOHvolQDQAAOmxrao5C/D01Ki7Y2aUATkGoBgAAHZJfcvIExQROUETfRagGAAAdsjU1RxazSReNjXR2KYDTEKoBAEC7NTQ2naCYMCRUgb6coIi+i1ANAADa7YvDhaqqbdAlCVxGD30boRoAALTb1tRshQZ4auRATlBE30aoBgAA7ZJbXK2Dx8t0SQASu6UAACAASURBVEKUzCZOUETfRqgGAADt8tGXTScoThvDCYoAoRoAALRZQ6Nd2/blKWFoqAI4QREgVAMAgLbbfajpBMVLE9hBEZAI1QAAoB22puYoLNBT8XFBzi4FcAmEagAA0Ca5xdU6lFWmi8dxgiJwCqEaAAC0yakdFKeN5drUwCnW1jzpjjvu0IkTJ2Q2m+Xt7a37779f8fHxOnr0qFauXKmysjIFBgZqzZo1iouLk6R2HwMAAK6r6QTFXCUOC1OAj7uzywFcRqtmqtesWaMNGzZo3bp1WrZsmX75y19KklavXq3FixcrJSVFixcv1qpVq5pf095jAADAde06VKjqukZ2UAS+pVWh2s/Pr/nrqqoqmUwmFRcXKz09XcnJyZKk5ORkpaenq6SkpN3HAACAa9u6J1vhgV6KH8AJisDpWrX8Q5J+9atfadu2bTIMQ88++6xyc3MVEREhi8UiSbJYLAoPD1dubq4Mw2jXseBgtjgFAMBVZRdV6/CJcl1/6WBOUAS+pdWh+sEHH5QkrVu3Tg899JCWL1/eZUW1RkiIr1PGDQvza/lJcCp65ProkeujR67PGT1atz1TVotJCy4dqkA/NnxpCb9Hrq8ze9TqUH3KVVddpVWrVqlfv37Kz8+X3W6XxWKR3W5XQUGBIiMjZRhGu461RXFxlRwOo63ld0hYmJ8KCyu7dUy0DT1yffTI9dEj1+eMHtka7Hrvs+NKHBqmhjqbCuts3Tp+T8PvketrqUdms6lNk7gtrqmurq5Wbm5u8/33339fAQEBCgkJUXx8vDZt2iRJ2rRpk+Lj4xUcHNzuYwAAwDXtOlSg6rpGXcoJisA5tThTXVtbq+XLl6u2tlZms1kBAQF65plnZDKZ9Jvf/EYrV67UU089JX9/f61Zs6b5de09BgAAXM+HqTkKD/LSCE5QBM7JZBhG966h6CQs/8C50CPXR49cHz1yfd3do+zCKt3/3Ge6fvpgXT55QLeN25Pxe+T6un35BwAA6Nu2pubIajHpwjFtO/8J6EsI1QAA4LxsDXZtT8vT+GFh8vdmB0XgfAjVAADgvD4/WKCa+kZdmhDt7FIAl0aoBgAA57U1NUcRwd4a3j/Q2aUALo1QDQAAzulEYZW+yi7XJeOiZGIHReA7EaoBAMA5bd1z6gTFfs4uBXB5hGoAAHCW+ga7tu/P04Th4fLjBEWgRYRqAABwls8PFKi2nh0UgdYiVAMAgLNsTc1WZIi3hsVygiLQGoRqAABwhqyCKmXkVHCCItAGhGoAAHCGranZslrMmsoOikCrEaoBAECzeptdn+7PU9KIMPl6uTm7HKDHIFQDAIBmnx3IV229nR0UgTYiVAMAgGZbv8xRZIi3hsYEOLsUoEchVAMAAEnS8fxKfZ1ToUsSojlBEWgjQjUAAJAkbU3NaTpBcTQ7KAJtRagGAADNJyhOHBHOCYpAOxCqAQCAdh7IV53NrkvYQRFoF0I1AADQ1tRsRYX6cIIi0E6EagAA+rhjeZU6mlupSxLYQRFoL0I1AAB93NbUbLlZOUER6AhCNQAAfVh2YZU+3purKaMi5OPJCYpAexGqAQDooxyGoX9sPigvD6uuuWSws8sBejRCNQAAfdQHX2QrI7tCi2YOkb+3u7PLAXo0QjUAAH1QSUWdXtuaoVFxQZoyirXUQEcRqgEA6GMMw9C/txyWw2HoprkjuOIH0AkI1QAA9DG7DxUq9asiXXXRIIUHejm7HKBXIFQDANCHVNc16MV3DmtAhJ9mT4xxdjlAr0GoBgCgD3n1wwxV1jToB5ePkMVMDAA6C79NAAD0EYeOl2prao4umxirAf38nF0O0KsQqgEA6AMaGu365+ZDCg3w1JXTBjq7HKDXIVQDANAHbNp+THklNVo6d7g83C3OLgfodazOLgAAAFdwNLdCmXmV8nS3yNPNIg/3pv883a3N9z3dLbJaet58VHZhld7acUxTRkVo9MAQZ5cD9EqEagBAn/fZgXz9fWO67A6jxedaLSZ5uDUFbA93a9Nt8/0zQ7iHm0WjBgYrNty3Gz7FuZ2+FfnCmUOdVgfQ2xGqAQB92sdf5ugfmw9qSHSAfpQ8Ug6HoXqbXXW2RtU32FVna/qv3mZXXcPJx0+7X3/yeGVNg+obGpsftzU4JEnuH5t117VjnDZDfGor8puT49mKHOhChGoAQJ+15fMsrX3viEYNDNZd14yRh1vnrTV2OAyVVdXrz6/u1eOv7tWPF4zWhOFhnfb+rcFW5ED36XkLwwAA6CDDMLRh21Gtfe+IJgwL093Xju3UQC1JZrNJwf6e+sXiRA3o56en16Vpe1pup47xXdiKHOhehGoAQJ9iGIZe+SBD6z4+qqmj++m2q0bJzdp1fx36eLrp5wsTNLx/oJ7ddEDvf3Giy8Y6HVuRA92LUA0A6DMchqF/pRzS5s+Oa/r4aC27Ir5bdhX0dLfqp9ePVcKQUP17y2G9teNYl47HVuRA92vxT5LS0lLdcsstmjNnjubPn6+77rpLJSUlkqTU1FQtWLBAc+bM0bJly1RcXNz8uvYeAwCgKzTaHXp2U7o+TM3RvAsGaMnsYTJ345IIN6tFd1w9WpNHRujVDzP02tYMGUbLVxtpj1c+YCtyoLu1+JtmMpl08803KyUlRRs3blRsbKweeeQRORwO3XvvvVq1apVSUlKUlJSkRx55RJLafQwAgK7Q0GjX0+vStGN/vq69ZJCuu3SwU9YYWy1m3ZI8UhePi9Kbnx7Tf949IkcnB+tDx0v10ZdsRQ50txZDdWBgoCZPntx8PyEhQTk5OUpLS5OHh4eSkpIkSYsWLdLmzZslqd3HAADobPU2u/786l7tOVKk780epiumxDm1HrPZpO/PHa7LJsbqvd0n9PxbB2R3ODrlvdmKHHCeNl1Sz+Fw6L///a9mzJih3NxcRUVFNR8LDg6Ww+FQWVlZu48FBgZ2wkcCAKBJTV2D/vTKXmXklOtHV8TrwjGRzi5JUtO/Ai+cMUTeHlat++So6m123bpgVId3azy1Ffk9C8exFTnQzdoUqn/729/K29tbS5Ys0TvvvNNVNbVKSIhzdqcKC+Of0lwdPXJ99Mj19YYelVfV63f/2q3jeRW676aJunBcVMsv6mY/unqsQoJ99NyGNDk2put/vj9Rnu6t+6v52z06lleht3ce06UTYjR9UlwXVIu26g2/R71dZ/ao1aF6zZo1OnbsmJ555hmZzWZFRkYqJyen+XhJSYnMZrMCAwPbfawtiour5GjFdrKdKSzMT4WFld06JtqGHrk+euT6ekOPSivr9cjaPSoqr9Nd14zVsCjX/UwXjgxXo224Xth8SL96apuWXzdWXh7f/dfzt3vkMAw99p/d8nS36qoL41z2s/YlveH3qLdrqUdms6lNk7it+nemRx99VGlpaXryySfl7t60xeno0aNVV1enXbt2SZLWrl2ruXPndugYAAAdVVBWq9//e7dKK+t1zw3jNHawc7YHb4tLEqJ164JRysgu18P/3aOq2oY2vf7UVuSLZg5hK3LASVqcqT5y5Ij++te/Ki4uTosWLZIkxcTE6Mknn9RDDz2k1atXq76+XtHR0Xr44YclSWazuV3HAADoiOyiaj2ydo8aGx2698ZEDYz0d3ZJrTZ5ZIQ83Cx6al2a1rz4hX6+KEGBvh4tvo6tyAHXYDK66iKZXYzlHzgXeuT66JHr66k9OpZXqT++lCqL2aSfL0pQTJhzzr3pqAOZJXr8tX0K8HXXikUJCg04ezfEUz0yDENPvLZP6ZkleuDmyeyc6EJ66u9RX+KU5R8AALiyIyfK9NB/v5CHm1krl4zvsYFakuLjgrViUYKqahr0+39/odzi6vM+l63IAddBqAYA9Gj7j5bojy+lyt/HQ/+zZIIigrydXVKHDY4O0C8WJ6rR7tCaF7/Q8fyzZ9NObUXeP8KXrcgBF0CoBgD0WLsPFerPr36piCBvrfzeeAX7ezq7pE7TP8JPK783XhaLWQ/9Z48yssvPOP7KBxmqqLGxFTngIvgtBAD0SJ+m5enpdWnqH+GnXyxOVIBP77vqRWSIj/5nyXj5ernpkbWpOpBZIknal1HUvBV5XL+eczIm0JsRqgEAPc6He7L17KZ0DYsN0M8XJsjH083ZJXWZ0AAvrVwyXqEBnnrslb3adbBAT76SqtAAT101bZCzywNwEqEaANCjvPN5ll5IOaQxg0P0sxvGtbhRSm8Q6Ouh+743XjFhPnpqXZqyC6u1dO5wtiIHXEjv/5MIANBrvL3zmF75IEMThoXpx1eOktXSd+aGfL3cdO+Nifr7xnT1j/LX6IGuv6kN0JcQqgEAPcLG7Zl646OvNSk+XDcnj+xTgfoULw+r7r5uLNdABlwQoRoA4NIMw9D6T45qw7ZMTRnVT8uu4GoXAFwPoRoA4LIMw9BrW7/WWzuOadrYSP1g7giZzSZnlwUAZyFUAwBckmEYeun9r7Tl8yxdmhitJZcNk9lEoAbgmgjVAACX4zAM/fedI3rvixOaNSFGN84aKhOBGoALI1QDAFyKwzD0r5RD2pqaozmTYnXD9CEEagAuj1ANAHAZDoeh598+oG378nTFlAG65uJBBGoAPQKhGgDgEuwOh57bdEA70vN15bSBWnBhHIEaQI9BqAYAOF2j3aG/bUzXroMFuvaSQbpiSpyzSwKANiFUAwCcqtHu0NPr0rTnSJFumD5Ecyf3d3ZJANBmhGoA6Ab1NrtkkjzcLM4uxaU0NNr15Btp2ptRrMWzhmpWUqyzSwKAdmFLKgDoYoZh6OG1e/Sb//tMtfWNzi7HZdga7Hr8tX3am1GspXOGE6gB9GiEagDoYnuOFOnrnArll9bq31sOObscl1Bvs+vPr+5V+tES/XDeCF2aGO3skgCgQwjVANCFHIahdR8fVUSQl+ZPjdOn+/O1PS3X2WWdV0W1TVn5lXI4jC4bo7a+UY+9nKqDx0t1c/JIXTQ2qsvGAoDuwppqAOhCXxwq1InCKt0yf6Qmx0foUFaZ/rXlsAZHBSgi2NvZ5Z2hvNqm3/7zc5VU1MvDzaLYCF8NiPBTXD8/Dejnp8gQb1nMHZuLqalr1GOvpOpoTqV+vGCUJsVHdFL1AOBchGoA6CIOw9D6bUcVGeKtyfERMptNunX+SK3+v8/0zIb9+tVNE2S1uMY/GDbaHXrqjX2qqmnQLVeN1tGsMmXmV+qTvbl6b/cJSZK71azYcF/17+enuIimoB0V6tPqz1Bd16BHX0rV8fwq3X7VKE0YHt6VHwkAuhWhGgC6yK6DBcourNaPF4yS2dy0iUmwv6d+OC9ef3l9n17bmqGFM4Y6ucom/3n3iI6cKNePF4xS8kWDVVhYKalph8O8khody6vUsfxKZeZV6tO0PH3wRbYkyWoxKzbcRwP6+WtAhK/i+vkrOuzsoF1ZY9Mf16Yqp7had149RglDQ7v9MwJAVyJUA0AXcDgMrf/kqKJCfTRxxJkzsuOHhWn6+GilfJal+AHBGjs4xElVNvlgT7Y+3JOteRcM0OSRZy7HMJtNigr1UVSoj6aM7iepaQa+oLRWmXkVTWE7r1I70/P14Z6moG0xmxQT5qsBJ5eNRIV468V3Diu/tFY/uXasxgxy7ucFgK5AqAaALvDZwXzlFtfo9qtGN89Sn27h9CE6klWm595M1wPLJinA18MJVUqHs8r0n3cOa8ygEF1z8aBWvcZsMqlfsLf6BXvrgpHfBO3CstrmkJ2ZV6ndhwr00Zc5kpqWjiy/bqxGxgV32WcBAGciVANAJ7M7HFr/SaZiwnw0YXjYOZ/j7mbRj68crd/+43M9uyldP1uYILPp7PDdlYrL6/TkG/sUGuilHy8Yec7w31pmk0kRQd6KCPJuPvnQMAwVldfpeH6lIkOaZrsBoLdyjTNkAKAX2Zmer/ySGl05beB3BuXoUB/dOGuo9meWKmXn8W6sUKpvsOsvr+9To92hu68dI29Pt04fw2QyKSzQSxOGhxOoAfR6hGoA6ER2h0MbtmUqNtxXicPOPUt9uovHRSlpeJhe/+hrfZ1T0Q0VNs0g/+PtgzqeX6lb549SZAiBFwA6ilANAJ3o07R8FZTW6qoWZqlPMZlM+v7lIxTo666/bkjrlm3MN+88rp3p+brmkkEaN4SrcABAZyBUA0AnabQ7tHH7UQ2I8GvTJeN8PN304wWjVVxer3+lHJJhdN1uhnszivXqhxmaFB+ueRcM6LJxAKCvIVQDQCfZnpanwrI6XXnRQJnaeNLhkJgAXTktTjvS87U9La9L6ssrqdFfN+xXbLivfnh5fJtrBACcH6EaADpBo92hTdszNTDST+Paed3pK6bEaUT/QP17y2HlldR0an01dY164rW9sphNuuvaMfJwt3Tq+wNAX0eoBoBO8Mm+XBWV1+nKaYPaPQNsNpt0y/xRslpMemZ9mhoaHZ1Sm8Nh6G8b96ugtFZ3Xj1aoQFenfK+AIBvEKoBoIMaGh16c3umBkf5a8ygjm1uEuTnoWVXxOt4fpVe25rRKfW98fHX2ptRrBtnDdXw/kGd8p4AgDMRqgGggz7Zm6Piivp2raU+l8ShYZo5IUZbPs/S3oyiDr3XZwfy9eanx3TxuEhNT4zucG0AgHMjVANABzQ02rXp02MaEhOgUZ24BfcN0wcrJsxXz246oLKq+na9x/H8Sv3fWwc0JDpA35s9nBMTAaALEaoBoAM++jJXpZX1umpa58xSn+Jmtei2K0fJ1mjX3zemy9HGy+xV1Nj0xGv75OPppjuvHi03K3/cA0BXavFP2TVr1mjGjBkaPny4Dh8+3Pz40aNHtXDhQs2ZM0cLFy5UZmZmh48BQE9ia7Br06eZGhYbqPgBnb9WOSrUR4tnDdOBY6V6e8exVr+u0e7Q02+kqaLGpruuGaMAX49Orw0AcKYWQ/XMmTP14osvKjr6zLV4q1ev1uLFi5WSkqLFixdr1apVHT4GAD3J1tQclVfZOn2W+nQXjY3UxBHheuOjo8rILm/Va1567ysdyirTD+aO0MBI/y6pCwBwphZDdVJSkiIjI894rLi4WOnp6UpOTpYkJScnKz09XSUlJe0+BgA9SX2DXW/uOKYR/QM1ogtmqU8xmUz6/tzhCvb30F837FdN3XdvY/7Rlzl674sTmjMpVlNG9+uyugAAZ2rXIrvc3FxFRETIYmnaPMBisSg8PFy5ubntPgYAPcmHe7JVUW3TVRcN6vKxvD3ddOuCUSqpqNcLKQfPu435VyfK9a+UQxo1MFjXXTq4y+sCAHzD6uwC2iskxNcp44aF+TllXLQePXJ9Pb1HdfWN2vzZcSUMDdOF42O7ZcywMD99r6hG/3r7gKaMjdKsSQPOOF5UVqun1qcpPNhbv142Wb7e7h0eD66NHrk+euT6OrNH7QrVkZGRys/Pl91ul8Vikd1uV0FBgSIjI2UYRruOtVVxcZUcjradDd9RYWF+Kiys7NYx0Tb0yPX1hh69vfOYyqtsmje5f7d+lkvG9NOu9Dw9/fpehft7KDLER1LTCZN/ePEL1dY36uc3jFNtdb1qq9t3GT6pd/Sot6NHro8eub6WemQ2m9o0iduu5R8hISGKj4/Xpk2bJEmbNm1SfHy8goOD230MAHqCOluj3t5xXKMHBmtITEC3jm02m3Rz8ki5Wy16Zv1+NTTaZRiG/rn5oDLzKnVr8khFhznnX/EAoK8zGedbnHfS7373O23ZskVFRUUKCgpSYGCg3nzzTWVkZGjlypWqqKiQv7+/1qxZo0GDmtYWtvdYWzBTjXOhR66vp/fozU8z9drWr/WrpRM0OKp7Q/UpX35VpD+/ulezJsQoJMBTL73/la66aKAWXDiwU96/p/eoL6BHro8eub7OnqluMVS7KkI1zoUeub6e3KPa+kb94untGhwdoJ9eP86ptfzn3cN6d9cJmUzS+KFhuv3q0TJ30mX9enKP+gp65Prokevr7FDdY09UBIDu9u7uE6qua9SV0zpnRrgjrr90iDKyy2W3G/pRcnynBWoAQPsQqgGgFWrqGpWy87gShoS6xIYqblaz/mfJBJlMksXMFuQA4GyEagBohXd2Zamm3jVmqU+xWgjTAOAq+BMZAFpQXdegLZ9nafywMA3ox3VnAQBnI1QDQAu2fJalWhebpQYAuBZCNQB8h6raBr2zK0tJw8MUG841oAEA50aoBoDvkPLZcdXb7FrALDUA4DsQqgHgPCprbHp39wlNjA9XDDsVAgC+A6EaAM5j82fHZbPZNb+TdioEAPRehGoAOIeKapve352tySMjFB3q4+xyAAAujlANAOeweedx2Rrtmn9hnLNLAQD0AIRqAPiW8mqb3v/ihC4Y2U+RIcxSAwBaxo6KAPoswzBUU9+o4vI6FZfXqaii6far7HI12g0tYJYaANBKhGoAvZZhGKqotjWH5eKKOhWVf/N1cXmd6mz2M17jZjUrxN9T1106WBHB3k6qHADQ0xCqAfRYdodDpRX134TlijMDc3FFvRrtjjNe4+1hVUiAp8ICvDSif5BC/D0VGuCpkABPhfh7ys/bTSaTyUmfCADQUxGqAbgsW4O9KSCfY4a5uKJOpZX1MowzX+Pv464Qf0/FRvgpcWhYU1gO8FSof9Otlwd/7AEAOh9/uwBwmpq6hvPMMDfdVtQ0nPF8s8mkID8PhQR4anhsUFNYPjnD3DTT7CE3q8VJnwYA0JcRqgF0iXOtZy4ur1NlXaNyC6tUXFGn2vpzr2cOCfBUbLjfGTPMIf6eCvRzl8XMRYsAAK6HUA2gXewOh0or6885w1xUUa+Sijo1NJ65ntnLw6qIYG+FBnidOdPMemYAQA9HqAZwTo12hwrLas9emtG8ntkmx7cWNDevZw73VeKQ0OawfOrW29OqsDA/FRZWOulTAQDQNQjVACQ1LdcoKK1V2tES7T9aogPHS1V/2uXmTl/PPIz1zAAAnIFQDfRhNXWNOnCsKUSnHS1RUXmdJCk0wFNTRvXT4Ch/hQV6sZ4ZAIAWEKqBbmYYhgw1zfx2N4fD0NHciuYQ/XVOhRyGIU93i+IHBGnu5P4aNTBYEUFsegIAQFsQqoFukltcrU/352nH/nyVVtY3bToS6KmwQC+FBpy69VJooKf8vDrvhL3i8jqlHS3W/qMlSs8sVU19o0yS4iL9NG9Kf40eGKJBUf6yWpiFBgCgvQjVQBeqrLHpswMF2p6Wq6O5lTKZpJFxwZo4IlzFFXUqLKvV7kOFqqo983rMHu4WhQV4NofssG/derqf/1e33mbXweOlzbPReSU1kqQgPw+NHxam0YOCFT8gSH7e7l362QEA6EsI1UAna2i0K/WrYn2alqd9XxfL7jAUG+6rG6YP0eSREQry8zjrNbX1jSour1Nhea2KyprCdtHJ+weOlaq+4czrOft5uyk0wEthgd8E75q6RqV9XawjJ8pldxhys5o1PDZQlyZEadTAYEWF+nC5OgAAugihGugEDsPQVyfKtT0tV58fLFRtfaMCfd01OylWU0b3U2y473e+3svDqphwX8Wc43mGYaiytuG0sF2rwrI6FZXXKjO3UrsPFcruaLq0XUyYr2YnxWrUoGANiwngahwAAHQTQjXQAXklNdqelqcd+/NUVF4nDzeLxg8L09TR/RQ/IEhmc8dnhk0mk/y93eXv7a5BUf5nHXc4DJVU1snNYlaA79mz4AAAoOsRqoE2+maddJ6O5lY0r5O++qJBShwW+p3rnbuC2WxSaIBXt44JAADORKgGWqGh0a4vvyrW9tPWSceEffc6aQAA0HcQqoHzqLM16qsT5dp1qFCfHyxQbX2jAtqwThoAAPQdhGrgpDpbo77KLteh42U6eLxUmbmVsjsMubuZNWFYeKeukwYAAL0LoRp91vlCtMVs0sBIf82d3F8j+gdpSHSAPNy5igYAADg/QjX6DEI0AADoKoRq9FqEaAAA0F0I1ejx7A6H6mx21dXblVVSq8/25ZwVouMi/TR3cn8N7x+oIdEB3X7ZOwAA0LuRLOAUDsNQvc3eFIZtjaqtt6vW1qi6+lP3G1Vn+/ZjJ29tdtXVn7y1NcrW4DjjvQnRAACgu5E00GqGYaih0dEcZuvq7d8Kv998fSoA150Ky7ZvnnvqcaMVY1otJnm6W+XlYWm6dbcowMddEUFe8vKwysvdKk93izw9mo4NjA1SqK8bIRoAAHQrkkcfV99gV0W1rfm/8hqbKqpO3lbbVH7y8eraBtXZ7LI7Wo7CJpPkdVoQ9vSwyNvDqmA/j5Ph98xjp4Kxl8eZAdnT3So3q7lNnycszE+FhZXt/XYAAAC0i9NC9dGjR7Vy5UqVlZUpMDBQa9asUVxcnLPK6VVsJ4Ny+XmC8unH6mz2c76Hj6dV/j7uCvBxV1w/P/l6uTWH3rNmiE+bRfb0sMrdapbJxLWcAQBA3+G0UL169WotXrxYV155pdavX69Vq1bphRdecFY5Laqpa9TOtFzV1NTL3WqRu5v5m1s3izysFrm5mWXupjBpGIYqaxqUU1StnOLqptuiauUU16ii2nbO13w7KJ/62t/bXQG+7vI/+bW/j7uslrbNEAMAAPRlTgnVxcXFSk9P1/PPPy9JSk5O1m9/+1uVlJQoODjYGSW16P0vTuj1j75u8XluVrPcrU1Bu/n2ZAD3cLM0HT8tiFutZlktJlktZlnNJlks39y3mE/eWkwyyaTCslrlFn8TnqtqG5rH9fKwKCrER2MHhyg80EsBPgRlAACA7uKUUJ2bm6uIiAhZLE3XBrZYLAoPD1dubq7Lhup5FwzQJUn9lV9QqfpGu2wNdtkaHE23jQ7ZGk+73+A44zkN/7+9+4+pqv7jOP66FxIzM35lXvyR2qJhVJYkBSkJlrohFv/omvyjszYrpMYWoAyXOr25WS0gqfFfW2xN5wrTsQZqtiKdtiJdNUTH5g8EpdS84L3n8/2Ddabf4iL3ABfh+dick/f9nPs5Q4owuwAAC1BJREFUe+18zttzzz34A+ryW7rmu9HzGv+tY/vjnrGRSoi/R3MeuV8JcfcoIb7nT/T4MdxyAQAAECZ37BcV4+LGh+V9Z06+b0C3Z4yRZRndCFgKBIz8AUv+gKUb/p6/A4GemmUZ3R9zt6LHR9E89+H+++8N9xTQBzIa/sho+COj4Y+Mhr+BzCgsTbXH49GFCxcUCAQUERGhQCCgtrY2eTye295GR8dVWbfxJIqBNJRPloiQFOGSFOmSInuu6Pt9N9TuuxF03GjH0z+GPzIa/sho+COj4Y+Mhr++MnK7Xf26iBuWm2zj4uKUlJSk2tpaSVJtba2SkpKG7a0fAAAAQDBhu/1j48aNKioqUmVlpSZMmCCv1xuuqQAAAACOhK2pfuihh/TFF1+E6+0BAACAAcMz1gAAAACHaKoBAAAAh2iqAQAAAIdoqgEAAACHaKoBAAAAh2iqAQAAAIdoqgEAAACHaKoBAAAAh8L2y1+ccrtdo+p9cfvIaPgjo+GPjIY/Mhr+yGj4C5ZRf/NzGWOM0wkBAAAAoxm3fwAAAAAO0VQDAAAADtFUAwAAAA7RVAMAAAAO0VQDAAAADtFUAwAAAA7RVAMAAAAO0VQDAAAADtFUAwAAAA6N2qba6/UqMzNTjzzyiH7//Xf75wcOHNDLL7+spUuXauXKlWptbbVrLS0tWr58uRYtWqTly5fr9OnTt1VDaPqb0eXLl7VmzRotWrRIS5cu1RtvvKFLly7Z43766Sfl5ORo0aJFWrVqlTo6OoZ8n0aaUI6jf5SXl/9rHBkNvFAy6urqUllZmV588UUtXbpUpaWldo21buCFklFDQ4NeeuklLVu2TDk5Oaqrq7NrZDTwgp1fgq1bodbQf6Fk1NLSory8PC1evFjZ2dkqLi6Wz+ezt1lfX6/FixfrhRdeUEFBga5fvx58EmaUOnLkiDl79qxZsGCB+e2334wxxnR2dpq5c+eaU6dOGWOM2bNnj1m1apU9Ji8vz+zZs8eu5eXl3VYNoelvRpcvXzY//PCDPX7btm2muLjYGGNMIBAwCxcuNEeOHDHGGFNRUWGKioqGcndGpFCOI2OMaWpqMqtXr75lHBkNjlAy2rRpk9myZYuxLMsYY8zFixftGmvdwOtvRpZlmZSUFPu1J0+eNLNnzzaBQMAYQ0aDobfzS7B1K9QaQhNKRq2trebXX381xvRksm7dOlNeXm6MMebq1asmLS3NtLS0GGOMKSkpMR999FHQOYzaK9UpKSnyeDy3/OzMmTOKj4/XjBkzJEkZGRk6fPiwLl26pI6ODp04cULZ2dmSpOzsbJ04caLPGkLX34yio6OVmppqv3b27Nk6e/asJKmpqUlRUVFKSUmRJK1YsUL79+8foj0ZufqbkSR1d3fr3Xff1caNG28ZR0aDo78ZXbt2TXv27NG6devkcrkkSfHx8ZLEWjdIQjmO3G63rly5Ikm6cuWKJk6cKLfbTUaDpLfzS7B1K9QaQhNKRlOmTNGsWbMk9RxTjz/+uN03HDp0SMnJyZo+fbo9bt++fUHnMGqb6v8yY8YMtbe36+eff5YkffXVV5Kkc+fO6dy5c3rggQcUEREhSYqIiNDEiRP7rGFgBcvoZpZl6fPPP1dmZqZdT0hIsOuxsbGyLEudnZ1DNPPRo6+MPvzwQ+Xk5GjKlCm3jCOjoRMso9bWVkVHR6u8vFy5ubnKy8vT0aNH7Tpr3dAIlpHL5dIHH3ygtWvXasGCBXr99dfl9XrtOhkNrpvPL8HWrVBrcO52M7qZz+fTrl27eu0bEhIS+jyOaKpvcu+99+r999/X1q1blZubq46ODk2YMMFenBB+t5vRpk2bNG7cOK1cuTJMMx29gmV0/PhxNTU16ZVXXgn3NEe1YBkFAgG1trZq1qxZ2r17twoLC/Xmm2/q6tWr4Z72qBIsI7/fr6qqKlVWVqqhoUEff/yxCgoKdO3atXBPe1Tg/DL89Tcjv9+vt956S88884yysrJCft/IkEeOUGlpaUpLS5Mktbe3q7q6WtOmTdP169d14cIFBQIB+8TT1tYmj8cjY0yvNQy83jL6h9fr1ZkzZ7Rz50653T3/b/R4PPZHOpJ06dIlud1uRUdHD+3kR4neMvrss8/U3NxsL1rnz5/X6tWrtXXrVjIaYr1l5PP5FBkZad8+8MQTTygmJkYtLS1KSEhgrRtCvWV08uRJtbW1ac6cOZKkOXPm6O6771Zzc7MmT55MRoPo/88vwdatUGtwpj8ZSVIgEFBhYaHuu+8+bdiwwX6dx+NRY2Oj/e+zZ8/2eRxxpfr/XLx4UVLPRwc7duzQihUrNG7cOMXFxSkpKUm1tbWSpNraWiUlJSk2NjZoDQOvt4wkaceOHWpqalJFRYXGjBljj0lOTpbP57M/xq6pqdHixYuHfvKjRG8Zvfrqqzp8+LDq6+tVX1+vSZMmqbq6Ws899xwZDbHeMoqNjVVqaqq+++47ST3fju/o6NCDDz7IWjfEesto0qRJOn/+vE6dOiVJam5uVkdHh6ZNm0ZGg+i/zi/B1q1QawhdfzOyLEtFRUWKiIjQli1b7O+RSNK8efP0yy+/2E/Pqamp0ZIlS4K+v8sYYwZhv4a9zZs3q66uTu3t7YqJiVF0dLT27t2r9evX69ixY7px44bS09NVUlKiqKgoST0LV1FRkf766y9NmDBBXq9XM2fO7LOG0PQ3oz/++EPZ2dmaPn26xo4dK6nnSwgVFRWSpGPHjqmsrExdXV2aPHmytm/fbn8BC6EJ5Ti6WWZmpnbu3KnExERJZDQYQsmotbVVJSUl6uzsVGRkpAoKCpSRkSGJtW4whJLRl19+qU8//dRuAvLz87Vw4UJJZDQYgp1fgq1bodbQf6FkdODAAb322mtKTEy0P9l+6qmnVFZWJkn65ptvtH37dlmWpaSkJG3bts2+iPdfRm1TDQAAAAwUbv8AAAAAHKKpBgAAAByiqQYAAAAcoqkGAAAAHKKpBgAAAByiqQYAAAAcoqkGgDtQYWGhiouLb/nZjz/+qNTUVLW1tYVpVgAwetFUA8AdaP369Tp06JD9mw+7urpUWlqqd955RxMnTnS8fb/f73gbADCa0FQDwB0oJiZGGzZsUGlpqf7++2+Vl5dr6tSpmjlzplasWKGUlBTl5OSosbHRHrNr1y4tWbJETz75pLKyslRTU2PXGhsbNX/+fH3yySdKT0//11VwAEBwkeGeAAAgNEuWLNHXX3+tt99+W8ePH9fu3buVm5ur9957T/PmzdP333+v/Px87du3T7GxsYqLi1NVVZWmTp2qI0eOaM2aNXrsscf06KOPSpLa29v1559/qqGhQZZlhXnvAODOwpVqALiDlZWVqbGxUWvXrtXevXs1f/58ZWRkyO12Kz09XcnJyTp48KAk6fnnn9e0adPkcrk0d+5cpaen6+jRo/a23G638vPzNWbMGI0dOzZcuwQAdySuVAPAHSw+Pl4xMTF6+OGHVVdXp/3796uhocGu+/1+paamSpIOHjyoiooKnT59WpZlyefzKTEx0X5tTEyMoqKihnwfAGAkoKkGgBHC4/Fo2bJl2rx5879q3d3dys/Pl9frVVZWlu666y6tXbtWxhj7NS6XayinCwAjCrd/AMAIkZOTo4aGBn377bcKBALq6upSY2Ojzp8/r+7ubnV3dys2NlaRkZE6ePCg/eQQAIBzNNUAMEJ4PB5VVlaqqqpKzz77rDIyMlRdXS3LsjR+/Hht2LBBBQUFevrpp1VbW6vMzMxwTxkARgyXufmzPwAAAAD9xpVqAAAAwCGaagAAAMAhmmoAAADAIZpqAAAAwCGaagAAAMAhmmoAAADAIZpqAAAAwCGaagAAAMAhmmoAAADAof8BXX42WULWlXUAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "pq274lbF8Ox_",
        "outputId": "c7dad67e-8f1c-42fc-8236-92cb4b7b852f"
      },
      "source": [
        "# Gold Medals Athletes\n",
        "\n",
        "gold_medals = athletes_df[(athletes_df.Medal == 'Gold')]\n",
        "gold_medals.head()"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Name</th>\n",
              "      <th>Sex</th>\n",
              "      <th>Age</th>\n",
              "      <th>Height</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Team</th>\n",
              "      <th>NOC</th>\n",
              "      <th>Games</th>\n",
              "      <th>Year</th>\n",
              "      <th>Season</th>\n",
              "      <th>City</th>\n",
              "      <th>Sport</th>\n",
              "      <th>Event</th>\n",
              "      <th>Medal</th>\n",
              "      <th>Region</th>\n",
              "      <th>Notes</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>Edgar Lindenau Aabye</td>\n",
              "      <td>M</td>\n",
              "      <td>34.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Denmark/Sweden</td>\n",
              "      <td>DEN</td>\n",
              "      <td>1900 Summer</td>\n",
              "      <td>1900</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Paris</td>\n",
              "      <td>Tug-Of-War</td>\n",
              "      <td>Tug-Of-War Men's Tug-Of-War</td>\n",
              "      <td>Gold</td>\n",
              "      <td>Denmark</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>17</td>\n",
              "      <td>Paavo Johannes Aaltonen</td>\n",
              "      <td>M</td>\n",
              "      <td>28.0</td>\n",
              "      <td>175.0</td>\n",
              "      <td>64.0</td>\n",
              "      <td>Finland</td>\n",
              "      <td>FIN</td>\n",
              "      <td>1948 Summer</td>\n",
              "      <td>1948</td>\n",
              "      <td>Summer</td>\n",
              "      <td>London</td>\n",
              "      <td>Gymnastics</td>\n",
              "      <td>Gymnastics Men's Team All-Around</td>\n",
              "      <td>Gold</td>\n",
              "      <td>Finland</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>17</td>\n",
              "      <td>Paavo Johannes Aaltonen</td>\n",
              "      <td>M</td>\n",
              "      <td>28.0</td>\n",
              "      <td>175.0</td>\n",
              "      <td>64.0</td>\n",
              "      <td>Finland</td>\n",
              "      <td>FIN</td>\n",
              "      <td>1948 Summer</td>\n",
              "      <td>1948</td>\n",
              "      <td>Summer</td>\n",
              "      <td>London</td>\n",
              "      <td>Gymnastics</td>\n",
              "      <td>Gymnastics Men's Horse Vault</td>\n",
              "      <td>Gold</td>\n",
              "      <td>Finland</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>17</td>\n",
              "      <td>Paavo Johannes Aaltonen</td>\n",
              "      <td>M</td>\n",
              "      <td>28.0</td>\n",
              "      <td>175.0</td>\n",
              "      <td>64.0</td>\n",
              "      <td>Finland</td>\n",
              "      <td>FIN</td>\n",
              "      <td>1948 Summer</td>\n",
              "      <td>1948</td>\n",
              "      <td>Summer</td>\n",
              "      <td>London</td>\n",
              "      <td>Gymnastics</td>\n",
              "      <td>Gymnastics Men's Pommelled Horse</td>\n",
              "      <td>Gold</td>\n",
              "      <td>Finland</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>20</td>\n",
              "      <td>Kjetil Andr Aamodt</td>\n",
              "      <td>M</td>\n",
              "      <td>20.0</td>\n",
              "      <td>176.0</td>\n",
              "      <td>85.0</td>\n",
              "      <td>Norway</td>\n",
              "      <td>NOR</td>\n",
              "      <td>1992 Winter</td>\n",
              "      <td>1992</td>\n",
              "      <td>Winter</td>\n",
              "      <td>Albertville</td>\n",
              "      <td>Alpine Skiing</td>\n",
              "      <td>Alpine Skiing Men's Super G</td>\n",
              "      <td>Gold</td>\n",
              "      <td>Norway</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    ID                     Name Sex  ...  Medal   Region  Notes\n",
              "3    4     Edgar Lindenau Aabye   M  ...   Gold  Denmark    NaN\n",
              "42  17  Paavo Johannes Aaltonen   M  ...   Gold  Finland    NaN\n",
              "44  17  Paavo Johannes Aaltonen   M  ...   Gold  Finland    NaN\n",
              "48  17  Paavo Johannes Aaltonen   M  ...   Gold  Finland    NaN\n",
              "60  20       Kjetil Andr Aamodt   M  ...   Gold   Norway    NaN\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SyFzV1iV8_w0"
      },
      "source": [
        "# Taking only the values that are different from NaN\n",
        "\n",
        "gold_medals = gold_medals[np.isfinite(gold_medals[\"Age\"])]"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sooK8Xhk9gjS",
        "outputId": "38da08db-a750-4273-8492-3205d13fee59"
      },
      "source": [
        "# Athletes more than 60 years of age who have won a gold medal\n",
        "\n",
        "gold_medals['ID'][gold_medals['Age'] > 60].count()"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7yzNxl-I99Uk",
        "outputId": "33cecdc7-2adc-4952-f5f5-1a0978cbefca"
      },
      "source": [
        "# For which sport this 6 gold medals have come\n",
        "\n",
        "sport_event = gold_medals['Sport'][gold_medals['Age'] > 60]\n",
        "sport_event"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "104003    Art Competitions\n",
              "105199               Roque\n",
              "190952             Archery\n",
              "226374             Archery\n",
              "233390            Shooting\n",
              "261102             Archery\n",
              "Name: Sport, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 409
        },
        "id": "78x6copx-UX1",
        "outputId": "bae67ebb-75f0-458d-c401-a78abe8ac13e"
      },
      "source": [
        "# Plotting for gold medals by athletes over 60 years of age\n",
        "\n",
        "plt.figure(figsize = (10,5))\n",
        "plt.tight_layout()\n",
        "sns.countplot(sport_event)\n",
        "plt.title(\"Gold Medals for Athletes over 60 years\");"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "AfuYzxvH_AMz",
        "outputId": "dc5c5aae-8c36-40ae-a051-286cc5906c87"
      },
      "source": [
        "# Total gold medals for each country\n",
        "\n",
        "gold_medals.Region.value_counts().reset_index(name = 'Medal').head()"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>index</th>\n",
              "      <th>Medal</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USA</td>\n",
              "      <td>2627</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Russia</td>\n",
              "      <td>1599</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Germany</td>\n",
              "      <td>1293</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>UK</td>\n",
              "      <td>657</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Italy</td>\n",
              "      <td>567</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     index  Medal\n",
              "0      USA   2627\n",
              "1   Russia   1599\n",
              "2  Germany   1293\n",
              "3       UK    657\n",
              "4    Italy    567"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 398
        },
        "id": "Og5DfaLH_jZ7",
        "outputId": "4fa983e0-1b56-4226-ee37-d37122a87b0b"
      },
      "source": [
        "# Plotting for total gold medals for each country\n",
        "\n",
        "total_gold_medals = gold_medals.Region.value_counts().reset_index(name = 'Medal').head(6)\n",
        "g = sns.catplot(x = 'index', y = 'Medal', data = total_gold_medals, height = 5, kind = 'bar', palette = 'rocket')\n",
        "g.despine(left = True)\n",
        "g.set_xlabels(\"Top 5 Countries\")\n",
        "g.set_ylabels(\"Number of Medals\")\n",
        "plt.title(\"Gold Medals per Country\");"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UbWPkxljAwib",
        "outputId": "eccac4dc-4592-4a54-d18e-f858d42f2856"
      },
      "source": [
        "# Rio Olympics Gold Medal Count by Teams\n",
        "\n",
        "max_year = athletes_df.Year.max()\n",
        "print(max_year)\n",
        "\n",
        "team_names = athletes_df[(athletes_df.Year == max_year) & (athletes_df.Medal == 'Gold')].Team\n",
        "\n",
        "team_names.value_counts().head(10)"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2016\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "United States    137\n",
              "Great Britain     64\n",
              "Russia            50\n",
              "Germany           47\n",
              "China             44\n",
              "Brazil            34\n",
              "Australia         23\n",
              "Argentina         21\n",
              "France            20\n",
              "Japan             17\n",
              "Name: Team, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "rm1FQTe_CDi_",
        "outputId": "217a65c1-eadd-402f-c8e9-0f60a54ee0c9"
      },
      "source": [
        "# Plotting the above results\n",
        "\n",
        "plt.figure(figsize = (12,6))\n",
        "sns.barplot(x = team_names.value_counts().head(20), y = team_names.value_counts().head(20).index)\n",
        "plt.ylabel(None);\n",
        "plt.xlabel(\"Countrywise Gold Medals for Rio Olympics\");"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Tu5ZeuxSC-nF"
      },
      "source": [
        "# Height Weight comparision of Male vs Female \n",
        "\n",
        "not_null_medals = athletes_df[(athletes_df.Height.notnull()) &(athletes_df.Weight.notnull())]"
      ],
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 627
        },
        "id": "DEgUecnqEXCz",
        "outputId": "dfbaf667-03b4-40aa-a97b-f48a626735b9"
      },
      "source": [
        "# Plotting the above results\n",
        "\n",
        "plt.figure(figsize = (12,10))\n",
        "axis = sns.scatterplot(x = 'Height', y = 'Weight', data = not_null_medals, hue = 'Sex')\n",
        "plt.title(\"Height vs Weight of Olympic Medalists\");"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ZXdGqVau49dZbWbZsWYsX+B3Mrl27OP744/n2229bVZsvItJZaGZbRDqdfauFNDQ0MH/+fIYNG9bsV/vd0fLly6mtrcXj8fDkk08CMG7cuA7u1aHzer08//zznH322YcctEVEujKFbRHpdN5//32OPvpojj76aIqKivjd737XY4LaV199xYwZMygsLGTZsmU89thjXXa95K1btzJx4kTKysparOkWEenuVEYiIiIiIhIhmtkWEREREYkQhW0RERERkQhR2BYRERERiZBuv35SVVU9pqmy9K4kIyORiorw9Zel+9FY9xwa655DY91zaKybGIaFtLSEFrd3+7BtmgGF7S5IY9ZzaKx7Do11z6Gx7jk01genMhIRERERkQhR2BYRERERiZBuX0YiIiIiIp2D3++jqqoMn8/T0V05JDabnbS0LKzW1kdohW0RERERiYqqqjJiY+NJSMjtcncGDgQC1NfXUlVVRmZmXqufpzISEREREYkKn89DQkJylwvaABaLhYSE5DbPyitsi4iIiEjUdMWgvc+h9F1hW0REREQkQhS2RUREREQiRBdIioiIiEin9/XXX/HEE4+yfftWDMPKgAEDuP76mxkxYlRHd+2AFLZFREREpFOrr3fyi1/8f9x88+1Mnz4Dn8/L119/RUyMvaO7dlAqIxERERGRTm3nzh0AzJgxE6vVisMRy6RJkxkyZCgACxf+iwsvPJuZM4/jppuuo6RkDwAvvvgsV175M3w+HwBvvvkaF110Dm63O2p9V9gWERERkU6tb99+GIaV++//FStWfEptbW1w2/LlH/LCC8/wwAMPs3Dhu4wdO4577rkTgAsumIvdbue5555m584d/PnPj3H33fNwOBxR67vCtoiIiIh0agkJiTz++F+xWCw89NADzJ49g1/84kYqKyt46603uPjiSxgwYCA2m425cy9j8+aNlJTswTAM7rrrXl577R/cfvtNXHjhXIYNOyKqfVfNtoiIiIh0egMGDOTOO+8BoKjoB+bN+yV//ONv2bt3D3/842/5v//7Q3DfQADKykrJzc0jL68XEybks2LFZ5x55k+j3m+FbRERERHpUvr3H8CsWafyr3+9QXZ2DnPnXsaJJ57c7L6fffYJ69d/Q0HBRB577I/cdtudUe2rykhEREREpFMrKvqBl19+kdLSvQDs3VvCe+8tYdSoMcyZcxYvvPAM27ZtBcDpdPLBB+8BUF1dzfz593H77Xdx55338Omny1mx4pOo9l0z2yIiIiLSqcXHx/Pdd+v5xz9ewumsIzExiSlTpnLttTeQkJBIY2MD99xzByUlJSQmJlJQMInp00/goYceYOrUaRx55FQAbr/9l/zmN/fx/POvkJKSGpW+WwKBQCAqr9RBKiqcmGa3fovdTlZWEmVldR3dDYkCjXXPobHuOTTWPcehjHVJSRG5uf0j1KPo+PF7MAwLGRmJLe6vmW0REen0/GaAkhoXFTUustPiyEmJxdLRnRIRaQWFbRER6dRM4JP1JTz/7+8JBMCwwFVnjGHSEVlNG0VEOjFdICkiIp1aaY2LFxZvYF/RoxmAZxZ8R3mtp2M7JiLSCgrbIiLSqVXVucOuvXF7/dQ4o3e7ZRGRQ6WwLSIinVp2ahyOGGtIW1J8DJkpcR3UIxGR1lPYFhGRTi0r2c71544jOcEOQFqSgxvOHU9agi47EpHOT7+pRESkUzNNGNUvlXuvmExtg4fURDspcTZMXRwpIl2AwraIiHR6phkgJc5GSpztP487uEMiIq2kMhIRERER6ZHOPns2c+achN/vD7YtWrSAqVMLeP31f7TLa2hmW0REREQ6rRXflvDGR1upqHWTkezgzGmDOXJUbrsdPyMjiy++WBG8pfuiRQsYNuyIdju+ZrZFREREpFNa8W0Jz/17AxW1TUt9VtS6ee7fG1jxbUm7vcasWaeyaNFCAHbv3oXL5WLw4CHtdnyFbRERERHplN74aCseX+hFGh6fyRsfbW231xg/voBt27ZQW1vL4sXvMHPmrHY7Nihsi4iIiEgntW9Gu7Xth8JigenTZ/D++0t5770lzJgxs92ODQrbIiIiItJJZSQ72tR+qGbOPIWnn36SQYMGk5KS2q7HVtgWERERkU7pzGmDsdtC46rdZnDmtMHt+jq9e/fhyiv/H5dcckW7Hhe0GomIiIiIdFL7Vh2J5Gok+8yZc2a7HxMUtkVERESkEztyVG5EwjXAa68taLb9zjvvabfXUBmJiIiIiEiEKGyLiIiIiESIwraIiIiISIQobIuIiIiIRIjCtoiIiIhIhChsi4iIiIhEiJb+ExEREZEe6eyzZ2O327Hbm+5IOWFCPtdff3O7vobCtoiIiIj0WPffP59Bg4ZE7PgK2yIiIiLSaXk2f4Zn1esEnBVYEjOwTzwL+9ApHd2tVlPYFhEREZFOybP5M9zLnwWfB4CAs6LpMbRb4L7rrl8Ey0iuuebnFBYe2S7H3UdhW0REREQ6Jc+q14NBO8jnwbPq9XYL25EuI9FqJCIiIiLSKQWcFW1q74wUtkVERESkU7IkZrSpvTNS2BYRERGRTsk+8Syw2UMbbfam9i5CNdsiIiIi0intq8uO1Gokr722oF2OcyAK2yIiIiLSadmHTulSS/39mMpIREREREQiRGFbRERERCRCFLZFREREJGoCgUBHd+GQHUrfFbZFREREJCpsNjv19bVdMnAHAgHq62ux/Xh1lIOIygWSVVVV3HbbbezYsQO73U7//v2ZN28e6enpfPXVV9x999243W569+7Nww8/TEZG09qJB9omIiIiIl1LWloWVVVlOJ3VHd2VQ2Kz2UlLy2rTcyyBKHy0qK6uZuPGjRQWFgIwf/58ampquP/++znppJN48MEHKSgo4PHHH2fnzp08+OCDmKbZ4ra2qKhwYppd79NTT5aVlURZWV1Hd0OiQGPdc2isew6Ndc+hsW5iGBYyMhJb3h6NTqSmpgaDNsC4ceMoLi5m/fr1OBwOCgoKADjvvPNYvHgxwAG3iYiIiIh0BVFfZ9s0TV5++WWmT5/Onj176NWrV3Bbeno6pmlSXV19wG2pqamtfr0DfdKQzisrK6mjuyBRorHuOTTWPYfGuufQWB9c1MP2fffdR3x8PBdddBHvvvtuxF9PZSRdj76W6jk01j2Hxrrn0Fj3HBrrJgcrI4lq2J4/fz5FRUU8+eSTGIZBXl4excXFwe2VlZUYhkFqauoBt4mIiEjnYbFAVb2XnaVOrDtr6J0ZT2p8DF1wwQmRdhe1sP273/2O9evX89RTT2G3Ny2ZMnr0aFwuF6tXr6agoIBXXnmFmTNnHnSbiIiIdB7ldR7u+etK6l0+ABLiYrjn8kIyEtu2RJpIdxSVsL1582b+/Oc/M2DAAM477zwA+vTpw2OPPcZDDz3Er371q5Dl/QAMw2hxm4iIiHQOhmHhk6+Lg0EboL7Ry2ff7GHOUQNUyik9XlTC9tChQ9m4cWOz2yZMmMCCBQvavE1EREQ6nmFY2FnqDGvfWerEMCwK29Lj6Q6SIiIicsh8PpNjJ/QOaz92fG98PrMDeiTSuShsi4iIyGEZ1juFS08dSUJcDIlxMVw2exRDeqd0dLdEOoWoL/0nIiIi3YvdZjBtbB4Tj8gmPt4BPp/KR0T+QzPbIiIicthMM0CszSAjJVZBW2Q/CtsiIiIiIhGisC0iIiIiEiEK2yIiIiIiEaKwLSIiIiISIQrbIiIiIiIRorAtIiIiIhIhCtsiIiIiIhGisC0iIiIiEiEK2yIiIiIiEaKwLSIiIiISIQrbIiIiIiIRorAtIiIiIhIhCtsiIiIiIhFi6+gOiIiISNdmsVgoq3OxaWc1to1lDOqVTFZyLIFAoKO7JtLhFLZFRETksOytcfGrv6zE7fUD4Iixcu+Vk8lOdnRwz0Q6nspIRERE5JBZrQYfrtkVDNoAbq+fj7/ajdVq6cCeiXQOCtsiIiJyyCwWKK9xhbVX1riwWBS2RRS2RURE5JD5fCYnFPQNaz8uvw8+n9kBPRLpXBS2RURE5LAMzEvkhnPH0Sszgd5Zifx/545nYG5SR3dLpFPQBZIiIiJyWGIMg3GD0hnVv5CkJAeuBjdaiESkiWa2RURE5LAFAmAzIDHerqAtsh+FbRERERGRCFHYFhERERGJEIVtEREREZEIUdgWEREREYkQhW0RERERkQhR2BYRERERiRCFbRERERGRCFHYFhERERGJEIVtEREREZEIUdgWEREREYkQhW0RERERkQhR2BYRERERiRCFbRERkR7AMCAmRn/2RaLN1tEdEBERkciqavCyflsFP+ypZeTADIb1TSHJoQggEg36nyYiItKNNXj9PP76OrburgFg2Ze7OGlyf849bggEAh3cO5HuT98niYiIdGO7yuqDQXufd7/YQWmtq4N6JNKzKGyLiIh0Yz6/GdZmmgFMv2a1RaJBYVtERKQb65OdSEZKbEhb/hHZZKXGtvAMEWlPqtkWEREB6j1+dpXVY5omvbMSSYmzdYuS5mSHjVsvyue9L3awZVcN+UdkM2VMHtaO7phID6GwLSIiPV5No5cHX1hNaWUjAIlxMdx9eSGZifYO7ln7yE5ycNFJw/H5TOw2A58vvLRERCJDZSQiItKjWSywbktFMGgDOBu9vLdqB4Zh6cCetS/TZ2KAgrZIlClsi4hIj2YYBjtK68LatxfX0g2qSESkgylsi4hIj+b3m+QPzw5rnzaht9ahFpHDprAtIiI93qC8ZC6eeQQOuxWb1cJpRw9i/JBMZW0ROWy6QFJERHo8n2lSXefmlKMGYjUsVNU24jOVtEXk8Clsi4hIj7dpRw0LPt0e0paZGs/MiX0xFbpF5DCojERERHo0q9Xgm23lYe2rvt+rMhIROWwK2yIi0qOZpskR/dPC2n8yJAsOZT0SS4DSOjff76qhtM6tv7QiPZzKSEREpEcLBGBk/3TGDs1k3eamGe7+uUkc/ZNebZ/ZNuDLTZX8+c11+PwBbFYLV54+hknDdLGlSE+lsC0iIj1egsPKtaePoazGhd80yU6Lx2Ft+w1tyms9/OWtb/D5m5K1zx/gr/9az4D/mUJWUve4G6WItI3CtoiICBBjtdArPe6wjlFV58Lzozs0en0mlbUuhW2RHipqYXv+/PksWbKE3bt3s2DBAoYNG8auXbu49tprg/vU1dXhdDr54osvAJg+fTp2ux2HwwHALbfcwtFHHx2tLouIdGv+QIDyWjfVTjeZKbGkJzroPjcn7xgZyXHEOWw0un3BNofdSmZqbAf2SkQ6UtTC9vHHH8/cuXO58MILg219+vThX//6V/DxAw88gN/vD3neo48+yrBhw6LVTRGRHsEMBPjwq2JeWrIRAMMCN5w7nrED01RbfBgyk2K49uyf8PjrX9Pg8hEfa+OaM8eSlWTHNA/+fBHpfqIWtgsKCg643ePxsGDBAp5++uko9UhEpOeqqPMEgzaAGYAn3/yG31wzhaRYVRgeKtOE0f3TuO+qI6mqc5OW5CAj0YGppC3SY3Wa36gffPABOTk5jBo1KqT9lltuIRAIkJ+fz0033URycnKbjpuRkdie3ZQoycpK6uguSJRorDtGUXlDWFuj24cvELkx6UljnZGR0NFd6FA9aax7Oo31wXWasP36669z1llnhbS99NJL5OXl4fF4eOCBB5g3bx6PPPJIm45bUeHU3b+6mKysJMrK6jq6GxIFGuuOkxIfQ4zNwLvfxXyZqbHExRgRGRONdc+hse45NNZNDMNywMndTrHU/t69e1m1ahWzZ88Oac/LywPAbrdzwQUXsGbNmo7onohIt5OaEMOtF+aTkti0QkZuejw3nT+BWFun+LMgItJtdIqZ7TfffJNp06aRlvbfO3g1NDTg9/tJSkoiEAiwaNEiRowY0YG9FBHpRgIwtFcSv/6fI6l3+UiOt2M/hHWlRUTkwKIWtu+//36WLl1KeXk5l156KampqbzzzjtAU9i+8847Q/avqKjg5z//OX6/H9M0GTx4ML/61a+i1V0RkW4vEIC4GCtxMdaO7oqISLdlCQS69yJPqtnuelQD1nNorHsOjXXPobHuOTTWTbpEzbaIiIiISHeksC0iIiIiEiEK2yIiIiIiEaKwLeEdtsMAACAASURBVCIiIiISIZ1i6T8REZEDMYGyWjcVNY1kpcaRleTo6C71WHVuP8Xl9TjsVvLS43FEYMnIynoPNU4P6ckOUuJjQOscSBemsC0iIp2aCXz+fSl/W/AtfjOAzWrw/84ay4Qh6ZjmQZ8u7ai01s0jf/+S8moXAJNG5nLhicNIim2fOBEAVm0s46l/rcc0A8TYDG46fwIj+qZoZTHpslRGIiIinVpZjSsYtAF8fpOn3vqGsjpPB/eshzHgrY+3BoM2wBfflbC1uLbdXqLS6eGpt74JBmuvz+RP//yK2kZvu72GSLQpbIuISKdWWecOBu19XB4/1U6F7Whq9Jhs2lEd1r671InRTmmi2unmxxPYDS4fdQ0K29J1KWyLiEinlpkaS4wt9M9VQqyNDNVtR1Wc3WDMkIyw9v55Se1WzpOeHIvtRzXgyQl2khPs7fMCIh1AYVtERDq1rGQH1579E+IcTXXBCXExXPfTcaQnKoBFlQmnTBnIgLxkACwWOHFyPwb+53F7SIu3ccO544m1WwFIio/hxvPGk+iwtttriESbbtcunY5u/9pzaKx7jsMda6vVoKzORXWdh/TkWNITYvS7vYO4/QFKKhtw2K1kp8SGzdod7lhbLFDb6KO2wUtqop1Eh5XunVS6Lv0Ob3Kw27VrNRIREen0/H6T9Hg76fFNs9kK2h3HYbXQPyshYscPBCAp1hZc4URBW7o6hW0REYm6OG8FZsUOAl43tow+uBL7YWodPxHphhS2RUQkquI9pVS+8xjesiIALDY72WfdRkPKkA7umYhI+9MFkiIiElW+ki3BoA0Q8Hmo/vQ1Yi3uDuyViEhkKGyLiEjUGAb4nJVh7b7qEgy/q5lniIh0bQrbIiISNaYJjpxBYe3xwyfjjknpgB6JiESWwraIiESVmTGQ9BmXYsQmgsUgYeRU4sdMx+/v6J5JVFmguMbF5pI6at0afOm+dIGkiIhElZs4rEOOI6vvGCymF29sJg2mblrSkzR4/Hy8bg+vf7AZvxkgIyWWG84bT5+0uI7umki708y2iIhEnd9v0mBLp96eg0dBu8fZU9nIq+9twv+f9dIralw8u/A7XFr9UbohhW0RERGJqrLqxrC2bbtrcDZ4OqA3IpGlsC0iIiJRlZESG9bWLyeJhDh7B/RGJLIUtkVEpEcxDIj3VxJv1mAYlsM6ltcMUOv2YR7eYXqcXhnxzD56EJb//NwS42K4dPYo4npwRZFhgNPtp97rxzAUz7oTXSApIiI9RpyvCvd3H1G6ZglGjIOUKWdiGzgRD227MM8wDLbtreO5d75jV6mT/COy+enxQ8lI0MxsayTYrcya0o/8I7JxNnjJyYgnNyUGr7eje9YxnG4fH3+9h3c+3Y49xuDs6cMoGJ6Jw6rQ3R1oFEVEpEcwDPBu/5KalW8R8DTir6+m8t2/YZRtbvOxSmtdzH9+NUUldfjNAF98t5dnFn6HLwL97q4cFoN+GfGM7JtCRnzPDdqGAV9tqeC1DzbT6PZR4/Tw9Nvr2Vpc19Fdk3aisC0iIj2CHQ/13y4Pa2/c9jU2W9v+HO4qdeL2hq4N/d32SipqdMt5aZsABh+v3R3W/uWGUmJiFNO6A42iiIj0CKZhw5qSFdZuS87ENNu25lxCXExYW5zDhsPeg4uO5ZBYjADZzawvnp0eh98f6IAeSXtT2BYR6YIcDhsOhy67aQuPzyA5fxYW23/rqq2JqcQOGMu+rG23N/9zjYkxQtr7ZCYwfnhocL/gpOFkJqlmW9rG9AWYeeSAkA9qqUkOJgzLwjQVtrsDSyAQ6NYjWVHh1MnaxWRlJVFWplq1nkBj3XZ+M8C2vU7eX70Tq2Hh+IK+DMxJpLMvhtFZxtowDGLrfsBXvhOL1Yo1awANjlywBPihtIH3V+3A4zWZPrEvQ3KTibHBropGPlyzm7LqRo4e14uR/VKJjbFS5/azY28dNfUectPj6ZsVT4xWkeg0Y92VGIaFPdWN7ChxYjUs9M9L6hIX22qsmxiGhYyMxBa3a1pERKQL2bbXyYPPrQo+Xrl+D3ddOomB2S3/opf/Mk2ThoR+kNAvpL2orIH7n/kiODmz6vu93HZRPmnJDh54dhWN7qZLH7/eXMYlp47k2LG9SHLAqH6pUX8P0v2YZoCc5FhyksPXH5euTx/BRUS6CIfDxnurdoS0BQLw0drd2FUrHMblD7CzspEypwfjAFNLNpvB5+tLwr4FXbLyB7bvqQsG7X3e/ngbTnfL645YLNDo9VNa66LRawbXkj4Qtwk7KxoprXO3+WLNw2GxgMtnUlbrpsHjb1VfI80wLNS6fOyqbKDe4yeaXxZYLBZqG71UOD2oXFrai2a2RUS6OIulKXTLf5XVuXnqrfVs3V2D3WZwzgnDOGp0Dg5b8x9KjGZSpgVLy+U5LWywWCwUldXzh3+spbrOTWqSgxvOGceA7ERaqtosc3r429vfsnFHFTarwZnHDeaYsb2Ij/AHKIsFdlU28odX1lJR4yI5wc7Pz/kJQ3KTOu58MuDbHdX8+c1vqK33kJkay7Vn/YSBOQm08RrWNvOaAZavK+aVdzfh85uMHJjOlaeNJiVOUUkOj2a2RUS6CLfbx4xJ/UNmHw0LTBvXB++PlqHryQLAq+9vZuvuGgA8PpMXF29gR3lDs/v7fCaTRueG3U3ypCMHMLBXMvGxoWHrjGMHk9hCEK5zeXn4pS+prmtaArC6zs3DL31JnauFmXCLhQXLt7FxR1VTX/wmr763mR1l9a19u4eswePnty+toaLGBUBtvYdHXlxDdUPHrRZeVuvhj6+spbbeA0B5tYtHX/2KmsbIn9+7yut5cfEGfP6mVP/d9kre+eyHFj9YibSWPq6JiHQhg3ITufOSSXy4ZheGYeHY8X3ol53Q0d3qVGpdPr7eXBbWXlrZyNDcpGaf0y8jnl9eNomP1uzG4/Vz7IQ+DMhNwm6FOy+ZxKdfF1NW3ciUsb04om9KixfeV9W5qW8MvTtLg8tHRa2LxKzwcapxeVm7Kbyvu8ucHNE7uTVv95BVOT1UO0PXBXd7/VTUNpIS1/zPKdJKqxrw+EKnsKvq3JTXNJIU4esSdpU6w9o+/3YPZ04bRGwUS3uk+1HYFhHpQgxgUE4iR8wZBYDHoxntH4tz2OiXm8y2/8xs75OaeODVHfpnJnD5KSOwWCx4PE2zu6YJeamxnHf8EKxWA/cBarUBkuLt2KxGcHYUwGa1kNzCyhLxDhv9c5P4bntlSHtmSttuH38oEuNicNituPc7hwwLpCQ4Iv7aLUlLdISVRcXarVHpU1Zq+M98cJ9UHAracph0BomIdEEej7/nBW0LNHhNDnYVn90Cc2eNIG6/dbELR+XQrxUzo16vPxi09+fzmQcN2gCpCTFcOWd0sIsWC1x+2mhS48NvggMQA5w3Y3jITXLGD8uifwsz8O0pJc7G1WeMYf/qmZ+dMpL0DlxyLjc1jvNmDGfkwHROLOzP4N4pXDZ7FJlJzf/82lP/nEQmjsgJPk6Ii+H8E4apikQOm9bZlk5H63b2HBrrnuNwx3pvrZs3P9zCph3VjB6cweyjB5F1gJlqqxVKajzsKXMSHxdDr4x44mOis2JLgAAVdR4qa92kJTvISLQ3ewHmPjYb7Kn2sKe8nli7lV6ZCS3WhLd/X6HS6aG8xkV6koOMJAfGYabLwx3rCqeH15ZtYeOOKiYMz2b2UQOjdpGi1x9gb3UjLo+f3PQ4kmJtuvj4APQ7vInW2RYRkS6tzu3nt3//kvLqpgv5Pvm6mB0lddx+cX6LtbR+P2Ql2slKTI9mV4GmVUwykxxkJrWu9MHn29fX6M8oW4CMRDsZHfDazWnw+nnw+dVU1jaN9Qerd7KjpJZbL5hAzOF+CmiFGKuFPhnxwccK2tIeVEYiIiKd2p6K+mDQ3mfH3jpKqho7qEcSKaVVjcGgvc+WXTVU1rlbeIZI56ewLSIinVqsPfxLWIsFHFEqC5HosTczpoYF7LpIUbownb0iItKp5aTFMmVMXkjbjEn9yElt/1tbx8RYO+xunFarBUtnuIVjB8pKieWosaFjPeeYwaRFoMzFMCxha6uLRIJqtkVEpFNzWA3OPWEYk0bmUlzupE9OEgNzk9p1tshqhe2lDaz+fi9ur5/CkbkMyonsus77+M0ARWX1fPFdCZkpcUwYnkVGor1H1gvHGBYumDGMo8b0Yk9FPX1zkuiXldB0JWd7scDeahdffLcXn9+kcFQueWlxWnVEIkarkUino6ubew6Ndc/RXmNtGETktt07Khq4/29fBNfHtljg9rkTGZoX2SX4LBZYt72K37+yNtiWGBfDvCsnt7hcYGfXXmP94/W220tJtYu7/7ICn7/p4IYF7rlicsiFkdI6+h3e5GCrkaiMRESkizGMAA5vNQ5f9WEv09bVtCVomzQtI1fn9mEY+/25s1ioc/mo9/gxjKbSkdXf7w25EU0gAItX/IA1wnXhHn+Avy/dGNLmbPSyfU9tRF+3NUygptGHy2e2qrzFYgGn28eecme7lMNEImgbhoXP1u8JBm0AMwD/XlmE1drD/jNJ1KiMRESkC4nxO/F+tYTy1f/GYrGQNOk0YkYdj9fQrNz+Khu8vLRkA2s3lpEUH8NFM0cwfkgmHp+fhZ/9wNIvdhBjMzjn+KFMG9cLtzf8BkHNtbW3QAC8vvBPEPuHwY5Q0+jlmXe+Z92WclITHVx1+miG90lpsdTC5TN5b/VO3l6+HYA5xwzi+Pw+ne425xaLBXczNy1yeXw0LYSob8Kl/XWu/wUiItIiiwUCu9dT98UCMH0E/F5qV7wOe77v6K51LobBGx9uYe3GMgDqGrw88cY6SqobWbWhlMUrizDNAG6Pnxf+vYEtu2spHJkbdmPKkyb3xx/hwO2wGZx57OCQthibwcAIl68ciAk89+8NrNtSDkC1083DL31JeW3Ly+99X1TFGx9uxec38flNXl+2hQ07qqPU49bz+02mju0d1n7ykQPw+yNQnySCZrZFRLoMq9Wg8duPw9obN68ktv9EfM3MkHYXLp/JrvJ6KmpcZKfF0zszHnsLNTR1jV6++HZvWHu9y8tHa3eHta/bUs45xw7m9rkT+feKH/B4/Zw0uT9DeycD0Og12V3upNHtp1dmAhlJ9nabAA0EAhQMzyL+nHEsXVlEVlocJx85gKxkBxYLlNV62LG3DsOw0C83ibS4yNdx17t8fLWp7Ef9hJKKBrKSw2/UY7MZfPJ1cVj7p+uKKRiW2enOyz6Zcfzq8kIWfLIdn9/k1KMGMjBKF8NKz6SwLSLSRZhmgJi8Ibh2fhfSbs8e1K0vBPcFTBatLGLhJ9uDbefNGMaJBX2aDb2OGINemQns2Bt64ZbdajAgL5kfflQP3TsrkUAgwNC8JI44dxxAcEa7wePnT6+tY+OOKgBsVgu/vKyQvu14MZ3dajBuUDrjh2RgoWmcAwEornLx4HOrcDZ6AUhPjuW2i/PJbuWdKQ+5PzEGGSmxVNSE3lwmMaH5oG+aAQb3SWHtjwL6oN4pnfK8tGChf1YC1581hgAQ6IR9lO5FZSQiIl2EaQaIHTEVa0JKsM2alIF9yMROGWraS0mVOyRoA/zz/c2UtlDWYDcsXDxrBDbrf//EjRqUQWZqHLOOHEDCfrPDvbMSGT0wPXgxnt/rDykd2VHqDAZtaKqlfuHf3+OLwI87YAaC42izGby/emcwaANU1rr4ckNp6MWeERBrM/ifM8aErEF91Ng8erXwAcM0Axw5Oo/0/T4EZCTHMnlUbqc+L00zoKAtUaGZbRGRLsTlyCbtnHsxq3ZhsViwpPXBZUs5+BO7MGejJ6zNbwZwNnhbnOUdmpfIvKsmU1xWT3ysjb7ZiSTYrSTHWnngqiMprqjHajXonRlP/AFWHKmtD3/t4vJ6fH4TWwQv/gtgYXeZM6x9d5kTm82CJ7xb7ffaARiSl8T8a6ZQUtlAYrydvLQ47NaW329afAz3XFHI7vJ6YmxWclLjSHDoDp8ioLAtItLluGNSITu1o7sRNbnp8STGxYTM8mamxpKdFtfic0wTclNiyU0JvctkIADJcTaS+7TuA0qf7PBa3mnjexNnNwhEsBQ5YPo5amwvNhZVhbQXHJGDxxP5VVIIQEaSg4w2lKwkOmwM752itZdFfkRlJCIi0qmlJ8Rwy0X59MtpWqFjcO8UbjxvAokHua26y2eyu7KRynrPIV/PmJsWx43njScl0Y5haQraJ0/uH9GgDU0fFn4yOIPTjh5IjM0gzmHjvBnDGNb34B+yKp0edlc24upkFyaK9FS6g6R0OpoV6Tk01j1He4y1229S7/aRGGvHfpCposp6Dw+/+CV7qxoxLHDmcUOYUdCXmEO4C5DFYqHR68fnN0l0RPcLYcMwqKx3Y1gspMbbDnhTH68Z4IM1u/nn+5swA5CVFsdtF+aTkWiPXofR/+ueRGPdRHeQFBGRbsFhNUiPP3jQNoEXl2xgb1Vj0+MAvPbBFoorGg7pdQOBALE2I+pBG8A0TVLjYkiOPXDQBthT2cA/3msK2gBlVY08/+/v6ezz2+1xt0mRzkxhW0REuhWX1883WyrC2surGzugN9FTXu0Ka/t2WwWuaNR4H4I6t481W8pZvGoHP5Q68XfvL9qlB9MFkiIi0q3ExlgZMSCd9dtCA3d6cmwLz+geMpp5f8P7pxN7kNr2jtDg8fPI39ewc+9/V1y5+owxTB6RrdJP6XaiNrM9f/58pk+fzvDhw9m0aVOwffr06cycOZM5c+YwZ84cli9fHtz21Vdfcdppp3HSSSdx2WWXUVERPlMhIiJRZLHQ4DXxtjIQGYYFl8+kvLoxZN3mQ+EJBKh2+fAd7DWBubNGkLbfShqzpw6kd2ZC03Yr1Ln91Hv8IWtWG4ZBvcdPndvP/ktZWyzg8Qdo9JrQyrfgDUBVg4+Wb3De/vIy4phzzKDg49REB5ecMuLQ/9BbodrloyECi4rvKqsPCdoALyzeQL27c87CixyOqM1sH3/88cydO5cLL7wwbNujjz7KsGHDQtpM0+TWW2/lwQcfpKCggMcff5xHHnmEBx98MFpdFhGR/dS5fLy1fBsfr91NTlo8l502ikG5iS3eutzjD7Dqu738491NmIEAZ08fypSROdjbuD61YcCO8kZe+Pf3bN1VzRED0rlo5ghyU1peli4z0c79V02mrNpFrMNGZpIDwwJOt49la3bz7xU/4LBb+enxwygYlokJrFpfwuvLtuD1mcyaMoBp43qR4LCycVcdf1vwLVV1bk6Y1JdTjhxAwgFmi4urXby4+Hs2FVUxrF8aF84cQe+0yM+q260Gpx7Znylj8mhw+chKjT3gGuIHUu708tZHW/j82xJy0uOZO2skw/olcdBPOq3k8YWHapfbh1+z2tINRW1mu6CggLy8vFbvv379ehwOBwUFBQCcd955LF68OFLdExGRg3j9o60s+3IXfjNAcUU9v35uFWUt3MURYGtxLU+//S3ORi8NLh/PL/qe73dWt/l1K5xefvv3L9m8sxozAN9tr+SP/1hL3UFmQeNirPTLSiA7uSloGwZ8ubGMNz/aisvjp8bp4a//Ws/WPXVs3V3LMwu/o7beQ6Pbx+vLtvD11gr2VruY/8Jqyqob8flNFq8o4t1VO1q8qK/G5eMPr6xhww9VmAHYUFTF719eQ3VjO6XUg7BaLGQlOeiflXDIQRssvPr+Rj77Zk/TWJfX8/CLq9lV2n41772zEnH86APLjMJ+JMZ2vpIXkcPVKWq2b7nlFgKBAPn5+dx0000kJyezZ88eevXqFdwnPT0d0zSprq4mNbXn3MxBRKQzqPf4+eSr3SFtphlgT3k9Wc3c+MRmM/jk6+Kw9g++3En+0Ex8bVgDuqSygRpn6C0T91Y2sLeqgaTcpFYfx2da+OybPZx53BDsMVYsQFWdm6paF5ub+RCw/KvdxNjCw9/7q3Zy0qT+xMWEz1ftrWwIu1CxstZFSWU9qb27xp0+y+vdfLmhNKRtX+juk97yjYTaIj3Bzj2XF/L6si3sLHVyXH4fpo7Ja/FbEpGurMPD9ksvvUReXh4ej4cHHniAefPm8cgjj7Tb8Q+07qF0XllZrf8DKl2bxrprsNW6SE2KpbI2NEgmJ8W2OIZ9chJhfWhb/9xk0tIS2vTaO5pZss8wLCTGxbTp/HF7fcw6agDPLvwuGN775SRRcEQ2tQ3h9z/PTosnJSF8jeqstHjSU+NIjA/ftruqEYul6U6V+1gskBhn7zLnep2nmpQEB9XO0G8tEmJtrX4PrdkvMzORYf3ScXn9JDfzc5auoauc1x2pw8P2vtISu93OBRdcwDXXXBNsLy7+76xIZWUlhmG0eVZbN7XperRIfs+hsY4eh8OKYVhoPMRyBosFrpwzmodeXB0MkqMGZpCT4mhxDAtH5LB4xQ/UNTTdZj0h1sYxP+l90DGPj7djs4HT6cE0IS8tnhmT+vHuFzuC+8w5ZhA5KbFtOn8Mw8L6LRUhs+Q79taxt7KBgiNyWLpyRzBgxjlsnDS5P6kJdgb2SmZ7cW3wGHNPHkFjvZvG+vASmuy0OE49aiALPtkebDt5ygBy0+IO+Vx3/Gd9b7f78EpRbDYDq9WC1+s/4JrdafE2Ljr5CP7vn18H20YOSKN3VmKr3sOh/L8ua4jmpaTSXvQ7vMnBbmrToWG7oaEBv99PUlISgUCARYsWMWLECABGjx6Ny+Vi9erVFBQU8MorrzBz5syO7K6ISJdjGLCr0sXHa3dRXF7PkWPyGDUgneTYtv36DwRgWO9kHrh6CnvK60mIi6FvVgJxB6gLTk+0M+/KI9lZWodhGPTKiCctIYYDLadcUuNm+Ufb2Lm3jsJRuYwclE5aXAyzpw5k/LAsKmpdZKXG0TcrobULgwT5AwG27AovF9lVWsdRo3K489KJFJXU4TcD9MtJIi/VgWnCzeeNZ0epE5fbR6+sRHJSHC2+hxjgxMJ+jByYQXlNIxkpsfTNSsJ2CAux+EzYVlLLe6t2YLMazJjUn/7ZCYd0sVW508On64rZsquG/COyGTc0i9S45s8Bny/AuMHp3H15IcXl9STGxdAvJ7HF/UXkwKJ2u/b777+fpUuXUl5eTlpaGqmpqTz55JP8/Oc/x+/3Y5omgwcP5q677iI7OxuANWvW8Ktf/Qq3203v3r15+OGHyczMbNPrama769En5Z5DYx15ZXUe7vvb5zgbvcG2s44bwpyj+uGLzjV7QOvGutzp4dfPrgopX5g1ZSA/PWEggfAqjzYzDAvvfrmLl5ZsDGm/7aJ8jujT+eqpN+yu5aEXVgcfGxa469JCBmS3rQynzu3jwedXU7JfOc6UMXlcdjjLAh6A/l/3HBrrJp1mZvuuu+7irrvuCmt/6623WnzOhAkTWLBgQSS7JSLSre3YWxsStAEWfrqdo8b26nQzlTtLnWF1wks/L+LYCX3ISrJT7/HhbPSSFBdDvN16wBny5phmgMmjctlZ6mT5V7uxGgZnHDuYQW24yLI1DANqGv1UO92kJNpJjTv4rdZ/zBZjsGTlDyFtZgA+XVfM0JOH4/W2/oC7yupDgjbAivV7OHXqQHJTuveNfkQ6g871m1ZERNpVc0vUGRYLLaxc16Ga65PFAhZLgK0ltTz66tfU1ntIS3Jw43nj6ZsZ3+bAnWC38rOThnP60YMwDAspcbbQYxgGAQJYDvEbUcOwsKm4lsdfWxcM29ec+ROO6JOC2cbEbTTzA7FaLW1+zy0tU9hSu4i0r6itsy0iItHXLyeJlMTQlR5OO2YQ6Qmdb66lT3Zi2C3VZ00ZSFZKLA+/tIbaeg92u5WqOjeP/H0NzkO826AFSI2PITn2v0HbbwbYsLuW3/99DQ+99CVrt1bi9rdxOhqoqPfwx1fWBmfoa5we/viPtVQ423YBoM9rMvPIASFthmHhyNF5bVo2EaBPVgJ9skO/4j5mfG+yDnBTIBFpP1Gr2e4oqtnuelQD1nNorKNjT42LL74tobjMyaRReQzvm0KiI7phuzVj/U1ROVmpSaz6voSde+soGJHD4F4p+EyTvVWNWICKmqYLJF0eH7lp8fTOiG/2WCaws7yenXvrSIiNYWCvZFLjYrBYoKzWTVFJHTE2g/65yaTE2dhZ0QgE2F1Wj9806ZOdBAGT/lltWz52855aHnxudVj7Ly4uYHjv5DYdy8Rk+94GPlqzmxibhWPG96F/ZtP7raj3sG13LV6/yYDcZPpkxB6wVKWi3sPqDaVs2VnN+GFZjB6cQXKEzgH9v+45NNZNOk3NtoiIdIy8lFjOnjYYm82g8Uf1251JrN3BHU98ykUnDef8GcN58o2veaPeyy8vm8SSlUV8uOa/N9U5depARg9Mb/Y4hgHf/lDN715eE5y57pOdyE3nT6DR7eWev36O9z+zwymJTTdXMQx46IUvg8sU2m0G/3vJJAybBdPX+gmblEQHNquBb79ZcZvVQlozN/45GAODwTmJjJgzkkAAvN6mmfyyOjcPPr+a6jr3f45vcOelE+mf2fKFkxkJdk6e2I+YKQPwen1triEXkUOnMhIRkR7A6/V3SNC2WiEhUIunYg/WH60S6DbB6fFjtzfN+/TObFpP+8UlG7n50eUUlTi5/LTRlFe7QoI2wKJPt1Pewq3iGzwmLy7eEFLbvKvUyQ97alnwyfZg0IamMo91W8r5bntlMGgDeHwmSz8vwmY0ddofAI8/gGEcuM45O8XBJaeOZN9uFgvMnTWSzOSmsG0YBvUeP60tgLFaLXga6/F5GrBamz5IfLO1Ihi0AXx+k7c/3oZxkDud+wMmtQ0eWvtlrzXGQl0b+mqxgM8MUFvvifo1AYYBbn8AfYaQzkgz2yIiEhGx/jrMonWUf7EQAibJBSdjHzCeRiOFDbtrefW9TdTWezhhUl8KR+WRFmfjjGMGUTg6F2eDl5yMePJSHHxbTyH4xwAAIABJREFUVBN2bDMArhZqtr3+QEgY3afR42NvZfjdKMtrXM2Gw4oaFz7TT1FZPS8t2UBlrZsTC/sxdUwe8fYWkq0Jk0dkMyDvSCqqXWSkxJKb5sAAKuu9LPm8iFXf7aVXVgLnzhhG/8z4FmeZA74GPv+uktc/2YXV+P/ZO+/ANu7z/H9uYG+ABPcWRYnU3sOWZVveUxmOR+IRO7NJm7RN+0tSN25Gk6bNaJs2zXSWHTtO4sR2bMeWt629t0iKe2+C2MDd/f6ARAkCoOFQ1vB9/uPLA3C4OwDPvd/3fV6BOy4vZ3a1N2OKJ8BwIEpCgWx7JQgwEIjxm5eaaO4aY2l9IdevqDyp1/pwKMHLWzvYsKePQp+V29ZMp6bQiaLkOOaqxt7WEZ54uQkBgfdfWcusSg/yKW5OpoJQXOG1Hd2s29pJodfKnVfXUZpn1Ue/65w3SA899NBD53onziaRSPyMO7d1zi02m4lwltHJOhcf+rm+uJEH9jH07PdRo0HUaIhIy04shVU0Rz184xdbGJuIEYkl2dcygtthpL7Sh6BpeGxGCtwW7KZUA6NslNmyv49o/JjQK8qzcc2yCkxS5gKt1WQgEIlzuPuYSBdFgZsvqabQZ2XrgYG07W9fMx2n3cz6Pb1p8fesnobRIPGlH29ieDxKJJZkb8swNquRujJXzt8WAXCYDRS4LTgsBgQEVODhZw/w5q4eonGFwbEIG/f0smRWcU7hvq9lkP968hChSIKJcIIN+4eYXeUmP8/Fm7t60ra9dVUNNUWOrPsUjCl86Ucbae+bIBZXONw9TudAkKX1hWTVwhI89mITL2/tIhpXGBqPsmFPLwvqC3DkEOjNPQG+/esdBCMJgpEEm/b10VCdh895lpswBXjqrTb++EbL5L6+saub5XNKct8Q6UwZ+nd4CkEQsFqNOf+vZ7Z1dHR0dKYci8VA8OCGjHi08yDNptIMUfjSlk4unVuCURLoG4swEYpT4LWS7zARi8T57J0LeGJdI81d49RXeVm7ehqRcByH0ZLxGsFYggV1fpbPLmJkPIrFJOOyG4lEk8yu9nHP9TP5w+uHMRkk7rpmBmV5NhKaxhfuWUzXYKqpvijPRmm+jYPtYxlN9s+tb+Py+SWY5dOvxByeiLPtYLrIj8YVugaC5Nkza89NRoHnt/VnxN/aO8CHb57Lp94/lydeaiISS3LdikoW1uXnzJD3jYQzvNb3tQwzGoqRZzcyGk4yEojitpvw2o2MBOKs350u5uNJle6BIEVZfLllWeSlrV0Z8Ve2d1FfMSune4qiwVAgSiiaIN9tSXOHOV3C8VS5z/EkFY3uwezHVUfnXKCLbR0dHR2dKUdRVCSbJyOuiTK2LNlRp82ILMLT69t45s1WACwmmb+7awF2s8y//GA9D9w8m/deUUt7b4AHf7Ceb/7VJVlfWxIFZFnk249un6zDXjW/hGuWVmCWRS6fV8zS+gJEUcB0xLc6ElP4w+uH2d86AkBxnp3P3TUfiykzO+qyGc+4PMIgCZiNUlp2HsCcI/uqCZDnMGTEfU4jmqaxqNZHfYUHRdNwWQwntQM0GTJfQ5ZEjJLI/o5xvvv4DpKKhijAR26dzYwKD1azIUOgm3Ltq6aR584U4XluC7kMzxKqxrMb2vnjGy1A6lx/8d7FFHsyb55OhiSCw2pk9ISyoWzvWUfnXKE3SOro6OjoTDnJpIp1xjIEgxlT6UzM5Q0IshH7zKVMK3On+WmLArz/yun0jYUnhTZAJJbkR3/Yi91qZNXcEn7w5B4e+tFGHn5mPzeurMJrz75sK4oCj7/YmNbw+PqO7knva1XVMMsiRjEltAUB9reNTgptgJ6hIK/t6Ka6xEmB95gAFAT40PUzT0tsG40S4pFfWa/dwG1rpqf9v7bcTZk/u11YPKZx/dJSDMdlz61mmWX1fhIJBVUFsyxiM0in9N0u9FhYOMOfFrvtylpkWeJ7v92FJImUFzowGWV+9Me9GCWB26+uS9u+qshJeUH2SZuKorF6fmmawDUZJS6dW4yiZBfbvSPhSaENqXP9gyf3kjxDq16zLHLvjfVpsbICe87jqqNzLtAz2zo6Ojo6U47BIPF8u4Wqm/6DDXv7UTWN5TcWsqMjyJqFVv7hQws53D1OOJpkWqmLsjwb25qGMp6nfyRMOJrk/VfUsrShiJ7hEKV+O+X5NnLJ3UgsSWtPZlNlqrHQlREXRZFDHaMZ8T0tw9yysoov3L2Ylt4AE6E41SUuijwnH3E+Fkmyr3WYA20jzKjwMqvai9tiYMWsAorzbLT1Bsh3W6gpdmE7SV1xYb6bbzwwn8bOcSRJYHqpE4/HRY4exZwYJIH7bpjJlYvK6B8JU17goDTfxuB4lFXzS3E7THT0BVg8s4CkotE7Embh9Hzy71lMa884XqeF6hInrpM0VBa4zHz1Y8tp7h5HlkQqCx3kOUw5M9vZGlg7ByaIxJWcdeHZ0DRoKPfw5Y8up7VnHLfdRFWR86THVUfnnUYX2zo6Ojo6U04ikaTU7+DLP92CciRbuW5zB//vniUkEip+hwn/CdnWAm/mgJrKIidOqwGjKDC9xMn00xgMYzPJNFTnsatpMC3u92QfgKMoKnNq8nhlW3rd8dKGQgQBHGaZuTk8vU8krmr86vmDbD+Uqs9ev7uXubV5fGLtHIyiyPRiJ9OLT2+4jaqCx+1iqfvYDcKZCu2jWA0SM0pdzCg99lxuu4nxYCyt5nl6uYfV80swSQK1RQ5qi7Jns09E0zR8diO+uvzJQScnm5mX784sF6mrcGN9G4N2RAFKvRZKvWdWgqKj806hl5Ho6Ojo6Ew5kiTx1q6eSaENKbu+l7d2YMhRT1visXLvjfWTpRP5HgsfuWUWxlOUbMQUjb5AlEAsmfKihpT925FSAllKWdGV+3MPfZle5uLKRWWTf8+fns+y+oIznkDcNxqZFNpH2dU0RO9w6Iye550gHE25hhxPY8coE++Au4Tfbeb+mxsmz3Wh18oDN81COkV1TkTR6BuPEogrGb7tU4EoCoTiCuORpO4cqDNl6JltHR0dHZ0pRxBIGx5zlGyxo0girJ5TSH2ll1AkQZ7bjO0UjW6941F+/Me9tPYE8LnM3H/zLGaUO8l3GPn83YsYGItiNUnkO00n9V22GCTuuLKWa5dVoKoaXocR6W1MZlGV7O/vTEX7O4GaI/OcKz6VSILAJQ2FzKryEokpeBwmTKdQ2j1jqXPd1hsgz5061/Vlzred7T8RRdXYdGiQXzx7gGg8ybJZRdx+Ze0ZlbXo6GRDz2zr6Ojo6Ew58bjCqvklGfE1S8qJxZI5H6eqkGc3UpFvO6XQjiQ1vv+73bT2BIDUEJpvP7qNvpFUPbBFFqnIS9kHnk6aUhTAZzeS7zS9LaENUOizUlvqTovVlLgo8uXOqp8rfA4z82rz02LlBQ4KspR4nA20I04qhW7zKYV2MKHyP0/soq03da6HxqJ859Ht9IxmnyL6dugeCfODJ/cQiSXRNNiwp5c/b+5AeKfHYepcdOi3azo6Ojo6p4UkJDGMd6CM9CCYbQh5lcTkTHu/o1T57Xz+nsU8t6ENVdW4dnkl0wpPr175dBgaj9A1EEyLJRWN3uEQha6pG6YSSah0DQaJxJIU59lSo9dziHezJPKxtbPYsLeP3c1DzK7JY/nsIszy1Aq20BGP7oSiUppvx2MznLFHtSTAh2+cyab9Xjbv72fOtDwumVOM6Qz8w/8SAtEkHQNBQpEExXk2SnzWnBnAobFIRilOPKnSNxymYIoG53T0TWTE3tzVw40rKs/IU/1CQwG6hkL0DoVxWI2U+20XXDZfkkQ6h8N0DwQxGETKCxx4rZnWmeeKC+to6ujo6OicEyQJ5J69DD71X6ClSiVMZfU4rvpITsEtiakmu5kfmIvVZiIwFpnSfbKaDVjNMuFoeqbcacs9ye1MCScU/vM3u2jqHANS9d8P3reUsrzszZYA2w4N8NqOLsoKHLyxsxuDLHLVotIpW0oORJN845fb6DsiPs1GiS89sOxtiU67SeaqhaWsWViKwDtX7hKIJfnJM/vZ05xyoBEF+JvbFzCv2p21LMRmMWT1KXfapk5QHW9HeZSyAgfGi1hoS5LIjsYhvvfbnZM3awvq/Nx7w0zsF5CjS+tAkK//bAuxROr6KMqz8dnb55OXwx70nebivYJ0dHR0LmI0AdR3cHXbEB9n9JVfTQptgFjnfrSh9pM8KkUiqZ5R1lUQU+PNxRMaIwVBQDnyf0jZzd1zQz3Hr/KvWVxGSV6qZEOWBRKAkCWtpCFAtvIAEZTjTAU7+oOTQhtSmfNfPHeA5JH3I8uQRMFkSom+kVCcx19s5JNrZ/Hhmxr45Htm8cRLjYwGp6bpMOUJPjIptCE1ifLpN1omj4sgpI7fieUPkgwJyGgsVFUNTdUyhLbFIqW2N56+VFAFTqvBsmsgOCm0IdU8+/M/7Wc8kr0Au8ht5O7r0/20r11WQdEUOpBUFjqYWXnsxtFklLjz6rpTCiVZFompIBkuvHKTkVCcnz+7P+3zuf3QQMaK0fmNwJOvNE8KbYDeoRCNWew8zxV6ZltHR0fnAiKmahxoH+O59a2IgsCNl1RRW+rAKJ7dLJSgxFACwxlxLZr7R1nVNA73BfnDa4dRVJVbV9VQW+xEyuEuIggwEIjxzFuttPVOsHp+CUvqC7AZJcYiCdZt6WR38xALZ/i5fEEpTjMsqM3jXz6yjN7hMG6HiVKfDbMkMBpOsqNxgNd3dpPntnDTJdXUFDqIxJIc7BzjqTdasJpl1l5WQ4XfjqJqNPUEePrNFhJJlWuXVVJf6SEQyhSOvcMhEFR6xmI8t76N9r4JFtcXsHJ2IaGowtc+sZJXtnWyv/Ug9VVe/vUTKwlFE/imIMsmCAL9w+GMeOdAEEXVGBiP8tQbLfQMhbhqcRkLpvuxGET6xqM8v7Gdlu5xFtT5uXReMb6TrACMhBJs3trFhj29FOfZuGFlFdWFFuI5dHRC1TjYOcYzb7YiCAI3rKxkZpkLWcwuVU+cTgkwOhElFleyZlSTSVgyI4/iB5bRPxrG4zBR7LVilqfuurcaJT79vrn0DIeJxRWK86y4rcaTWhj2T8R5aUsHB9tGaKj2cfnCMvyO8yObejrEEkrWazzb+TlfiSQV+kYyPxND41EkScg5WOmdRHrooYceOtc7cTaJROJnXMemc26x2UyE3wHrKZ1zj36uz5yDneN897EdjASiDI9H2bCnl/rq/FQd8VlENBhhvIfkSM+xoCBiX3wDSVP2MpL2wRBf+9kWhsYiDI9HeWt3L7Om5eNzZN/X8UiSf/7RRg53jRMIxdndPISiQl2Fh6//YhvbDw0QCMU51D5KS884yxoKkQUBp8VAic+Kz27CIAnIMrywuZPfvNTEeDBO71CIDbt7mFfnp3MgyHce28HoRIyB0Qiv7+xmUX0hQ4EY//aLrQyNRRkNxNiyv5+aUjdlBTZe2pLuv33VknKKfTb+9edbaT6yrwfbRpmIJLh0ThHfeWwH2w8NEgjFOdw9zqGOMa5cUoZJ+ssXkzUNDEaJN3b2pMXXXlaD12nmwR9spL1vgvFgnB2Ng9isBvK9Vr7+860cah9NHb+OUQZHIyysL8ietZXhyddaefrNFgKhON2DQTbu7WP+jELsOXywG7sDfOvR7ZPX5ca9fcyszst5XWqCyGvbu9JK3xfO8LNqQRFCDsMaAQGXNXWuvXYThik4niciiwIeu5F8lxnzKRp0JxIK3/31DnY2HjnXXeM0d42xqKEI46k8DM8TzCaZlp5xBkePlXhJosDNl9bgsJw6H3s+fIdbTTKhmMKBtpG0+C2ravDaz+734lEEQcBqzX2TpZeR6Ojo6FwgmM0yr2ztzIi/uasbs/nsNgPFVQOO5e/DMm0hICA5vOTd+CkSrvKs20uSyKvbu/nsHfP5wr2L+fw9i/ncXQt4YVM7Ug6R1DMUzKi/Xrelg+GJGD1D6Rn0xo4xhgLZnSiGQ0me35he3hJPqnQPhdLGwUNKvG4/NMCB1sys/brNHRT5rPztHfNx202IosDlC0u5dmkFnYOhjIzgxr19DAVitJ/QaNfZP0HfUGbm7e1S4bfz0VtnYbMYkCWRWy6tZvEMP+19E2lL6QBPvdFC92CI0RMmNu5sGqR/JIIkiQwF4xzqCTAwEQMJhscTvLIt/TqLxJI5SwtMJplXTxgIBPDq9i5MOcS5oqh85o4F5LstCEJKaK9dPY3R8QRI0D8R41BPgOFgfPJ6EUWB0XCCpt4JBidi5Eiav2P0DoUyjklbb4C+kfPPUz0XEnD39fWTrjR+j4W/v2shxaeYkno+kUgorJhTxJrF5ciSgMNq4P6bG6gsPH8cgPQyEh0dHZ0LBgFLFpcAq8mApuX2r54qIuZCrGs+jmPlCJpsJmE82ehwjauXVfCbdY3sPlKbO7PSw13Xzsz5/HIWEW6UxZxlJ3KO7KEkiJiNEpETLAYlUcCWxaHAYpaz+n9bTRKCJjC70sPXP76chKphN0mgZd9XWTrJvr7NJjtJEgjGFAQBbEYRRUllX1fUFzC3Jg9V07CbJTQ1+z6ZjVLW1xZFAVkW2ds+yvee2EUklsQoizxwy2xqSp0YDVmOX47jrWla1uvSZpZzNlyOBmP8/pVmPv6e2ZgMEi29Af71Z5v5t0+uYMvBIX7yx73EkyoWk8ynb5vH7EoXBzoD/OdjOwhFk8iSyH031rN0pv+cZQ0NOabqZDsP5zP5diOfeu9sRsMJzAYJh0lEPftfJ1OK12rgzquncd3yCiRJxGM1okyVAfsUcGFdETo6OjrvYqLRBGsWl6cJOlkSWTm3mFjsnflhiasGIqYCotLJhDaAxqH20UmhDXCgLf3vEynJt1F2ZOrjUT5w1XR8DiOL6wvS4lcuKsOboxzFbRW5bc30tJjXaabM7+DWVdUcr4fNRol50/KYXZOH6biyAVEUuHZFFcqR5k6TLOK2GiYt/8r9VioK00eZ37iyinyXhWWzCpFEAY/DhCQKLK4voNBjSXvu0yEYV3htdx//8pNNfOXhLWw6OETsyEFXVQ2LQcRmlCZ7VssK7OS7zZgMEu4jx+ZD186kwGultizd+/uapRU4bQb+97e7JkV1PKnywz/sxmKSeM/l09K2L/LZKC/IPro9Hle4YlFZ2s2PLAlctqCURCL7RVLud5BIqnzlp5v5px9s4KdP7eO9l9cyEUnywyf3ED9y8xOJJfn+73YxMB7nf3+7m9CRlY+kovKTp/bSPxY9rWN5NijyWVk4w58WWzG7aEqbNt8pRMBnNWAzXHhCexIFPFYDTpN0XgltAEE7WeX/RcDwcPC8nNylk5v8fAeDg5l+pzoXH/q5fhtI0N4fZlfTIJIoMLc2j4p865RN0ZsqLBYD//7odrYfGkyL11d5efDeRUQi2QfbjITi7GsdoXcoREONj2lFTkyySDiu0NQ1TkvPOLVlbqYVO09aUxtTU0v6u5qHyHOZaaj2UeA0oQG9oxF2NQ1iNsnMqckjz2FEFAXaB8PsPjxEPKEwrzafygIbqKmShgOtI4wHY8ys8lFV4MAgwnAwxoH2MboGJphZ6aW22IbVZGIknKC1J0BrzziVRU6qi114bQYSqkb7QJDG9lEKfTaml7ly1kADbGkc4vu/350W+7u7FtBwgnA+nuFgnP1tIwyPR6mv9lJV4KC1b4JoPNUI1zkwQW2Zh2A4TkWhg6/8dHPGc/ztnQuoKHLQ0TvB3pZhCn026qu85J+swVOErqEwOxuHEIC50/MpzbPASYTbwEScA0ecVWbV+CgvcNDWG+A7v96Rse0/fXgJX82yr5+5fT5zKnN7vZ9tRsIJmrvGaekeo6bUzbQSF57zyN/5bKN/h6cQRQGfz57z/3oZiY6Ojs6FhAIVeVaqC6pSfyrqeSe0AeLxBDOrfFnFdjyePQESSShsOdBPRZELr9OMKIgc6BxjQY0Pq1FibrWX+dN8p5VAMYlQV+JkdpUXVU2SPKLtBaDYY6F0WQWapqFpqbptRdEo9VqoyC9HEESSSQXUlCD8919uYySQyqD+8fUWPn3bPBbVevHZTVzSUIB5YSnRaMq9QdU0nn2rlZePq2FeNa+ED11bx1t7+/jFswcm49UlLv7+9vmYDVlKUowSr+3IrIPetLefhbV5RKOZNyvBWJL/eHQb/SOpZren3mjhr2+bR0WBnb//3pvYLQZK/HZe29aF1Wzgnz68JMOnXBIFSvPtbD84wCN/PsAVi8p5bXsn6zZ38LkPLsCZ6+ZAhVKvlfIVlfh8tpQAO0WG1O8wUji3ELPZQDicOn4+lwVRFNLOsc1iwG034bQZ0+rkBQHyXOe2tthrNbBkeh6Xzi486WRUnXc3ehmJjo6OzgVISmSfv+u9kiRRX+lN8y2eVupi3nQ/hhx+xIFwgolwgm/+civfenQ7//2bHViMMqH4MRFzJiuVgiAwFooRjmkZltqqqmV1qlIULSW0j9DeF5gU2kd54qVGJqKpB0cVld7RCEcfMTQRTxPaAK/v7KZ/NMLjLzamxVu6x+kZzt5MJwhMloIcj9dpQlE0RFEkFFcIxJKIR6ZTdg4EJ4X2UX7x3AEsJpmP3jKLcDTJwbZRJEnkr2+bh99p5uNr52A6YrUnSyL33zILUYQnXmoimYQXNnbQ1jtB92Awo/EzG+oZ1iCoKpNCG6DQbeb+mxsmS1JMRomPr51NgcvEJ94zB8sRsS+JAvfd2ECh5+RuE4IoEE4oxJLqWR27fr4J7aQK4bhyqvudKUcURUIJhYlYEvFcd7CeR+iZbR0dHR2dKUcURZ55q5UbVlZx62XTUDUN0Pjty038w53zsz4mEE7w7Pq2yb+jcYWf/Wk/X7hn0Rn/WgVjCk+92cIr27rwuszcf1MDtcVOzlRuxbPUHIejSURB5XBfhJ8/u5/uwSDz6/x84MrpJLM0WkKqHjqezHyuRI4bpkRM4eolFWzZ3z/ZvGk1yyxpKCAUTbCtcYjH1zUSiytcs6yCKxaWTtY5H08kmkTTYOkMP9PL3EyEE3gcJpwWA8mkwtxqN1/+6HKGxiJ4HGYKPSZGgwli8Sz7mjj70k0Eljf4qSp2MhqIkee2UOgykkio1JU4+cpHlzE4HsVtN+F3mk56PiNxhZd3dPPMm62YjBJ3XzeTuTVepLMous81giDQORziJ0/to6N/gkUzCrjz6um4LGe/tCWhqGw7OMDj6xqJRJNcvayCNYvKcF5go9/PBvoR0NHR0dGZcqLRBJfMLebff7UtLf7ZO+ZnLYEAGAtmWvn1j4SJJVRy9EJmR4Bn1reybkvKvm5wNMK//XIrX/vYCgrdZ1Z2UF7oRJYEkscNxrh6aQXj4STf/NXWSSG8/eAA4UiCz9w2l4pCR1oWuMxvp8hr5dK5xbx+nD+2zSxT7MtuTyYIEIsn+OK9S2jtHUcSRSqKnCQTCi19QX70x72T2z71Rgt2q4EF0/MxyGKas8oNKyuxmiQ0VcNjM+I5MsjmaLuWoqTcKCbrsVXw2o2sml+aZv9nNkqU5WiQnHIUKHSaKTwyPv34MimvzYj3JMN4jiIIAlsODfK7V5qB1PCW7/12Fw/et4Sqgty1tRc6o6E4X3v42NjyLQf6CYRj/N3tC5DP8j1Ga3+QH/7h2HX5zJut2C0Grl1cfsYrHhcbutjW0dF51yAIAsbYINpYL4LBguYqIS5eeM4BZ4pVGUMb7UKNhpA9RUSd5SgKmLUgwlgXanAMye0n6SghztQNgagucvKZ2+fz1BstqKrGDSurqC1x5dy+wGvNiFUWOXGcYcNZJKHS3DXGP3xoEYFQDLNRZiwYo2codMZiu8xv4d8+dSl9QyEi8SRFeTY8DjMHWocz7AIPto8yPBHnMx+Yx583dbCjcZC5tXlcu6wCkyTw/iums3RWET1DQZw2EzXFTpwWOWs5iyAKPLuhjTVLKrBbjIiCwGggysBoiJHxzJuSN3f2cMWCEh56YBm/e6WJ3uEwVy0uZ0m9H+0kpTdJVaN3NMLAaASv00yxz4oJuPmSSrxOE+t391KYZ2PtZTUUuIwXjFNFUtVYt6UjI76vZZiaIsdFa5zQPxrO8Fo/1D7GeCg+JRNMcyFJIntbMr3q39jZw+XzSzCcpgPPxYoutnV0dN41mCbaGXria2iJlFgxV83DdsUDxKWLN9NlTY4QeONRIk1bUwFJxn/rZ9F8VcR3/ZnxzU8f2VLAd839SNWXTFnDpUkSmFPpob5yIQaDhJbDBu4oxR4r991YzyPPHySeVPF7LHzkllmYzvCH2iAKfGBNHd96ZNtkacX86fm8/4raM34Po4EED/9pP3sPp4SEySjx/+5ejCPLsrzVLGMySrgsBj5wRQ1rV1VjlAU0NZWp7hkK8a1Ht08KvWuXVbB2VXV2IaLB2tW1/OeRaZeQst/75Hvn0Ng5lrG532tBEkSK3GY+tXYOSVXFKIsnFZWiDJt2D/CTp/ZNxt53RS1XLy1jZCLGvpYhrl9RSe9wiFe2dfKBK6ZhvEA8pGURivJsGUNn8j2Wi1ZoA1izDLeymGRMWZpwpxJFUclzZSYu/B4LBlk4ZbPsxc6F8anR0dHR+QsxkCDw2iOTQhsg2roTRtpP8qgLH3W485jQBlCSjLz8K+Rk8DihDaAx8vKvMIdSZQ6CICDJYlZPaFkWsg44kWQx63RIkyTgy/JDnPG8Ilw2t5CvfnwFX3pgGQ9+eClFZ5iJhpQjyK9fOJRWw7yjcZCh4xodrTYD9tMY5dw5EJwU2gCxuMKjfz5ISaGDRTPTPZbvvGYGBUfcMQyyhNtpxnjEnjAcV/j+73enCb3nN7YzcNyYbINJwnikWVGSBNbv7kmb/Ng7HGJ/2wgL6vLJd1uoKXFRX+XFapK56ZJqtCNpZ7vdiNtpPqWo7BuN8cvj3FEAfvdKE33DYf7vyT0cbB/jJ080Cn0CAAAgAElEQVTv49n1bbyyrYveE5ovz2c0DdauqknzTvd7Lcys8J7DvTo1RqOEIYswNhhETKaTj48HKHRbuHRucVrs3hvqcZyFummzWU7zs26o8uI/zk/eKIvcclnNu15og57Z1tHReZcgKjHig5nCWg2NQv452KF3CDUynhFLjvZCMpER1xJRtMgEIUFhe9MgG/f2MbvGx4pZRTgtMkY1jNa9l/DeV5Hzy7HMWk3MUkhC0TjcG+CFTR04bUauXlpBkceMpqW8l5/b2I6qaVy7tILyfBsnS1SrCuTZjeT9BUvesaRK10Cmc0YgFCehJDjUHeTlrV2YjRJXLSmnxm9DzdFqNzaRWbLRNRAkFlf44LUzWL2glPFgnEKflTKfnURCYTAYZ8uBfvYdHqahysvihkJkIXtN+ngojs9pYn/HGK9u78LnMnPlonIqC+y09Wa+h/beADcsK+ev3jeXdVs6CEUTfPJ9cyn0mJFlaB+M8sq6JvpHwqycW8zMci8uS3aRNhGKZzRVahqMBeMMjmYK6/FgHPLPnxHYp6LIY+FrH19O10AQgyxS5ref1Nf8XJJUVZq6J1i3pQOTQeKqpRVUFdpA02gbCPPCpnZicYUrF5dTW+LMWZZhkATWrq5h3nQ/o8EoxT4bFX5H1lKlt0sCaOkOsG5LB6IocNWSCqYV2vHZjfzjhxbR3jdBQlEpL3BQ5La86+u1QRfbOjo67xKSshXr9GWE9r6aFpc8JZxfpl1Ti+wuzIiZK+cgmKwIshEtecy3WHbmk3QV88izjWzc2wvAgbYRNuzp5Z/uXYR48FXG3/xNauPO/YT3v4nvji+zp0fg28cNInlrdw9f/dgK4gmFh36ycfKHfvO+Pr704aVU+M+uYHPZjCyY4Wfzvv60eHG+lQOdQb772LF93by/nwfvW0JFDhFZlJcZXzSzAKfVgKhq1J8wYCac1Hj46X0cbB8FUsdvV/MQf/OBeVSXOGnpDkxuKwqQ57aw5dAgDz+zfzK+cU8fX/vYcpY0FNDYMZr2/POm59PUM8FXf7oJ5UjmesehQf76tnkU+qx8/eebJ32z97UMc9ua6bxnVVWavd5R8t0WvE5zmrWh2ShR4LEyu8bHnsPpNbgFF9hkRE3TUg2VVed3NhvgUFeAbz26ffLvzfv7ePDDS0EQ+OrDmydXKXY0DvK3dy5gVnn2wUbhhMLXf7E17WZpzeIy7rzyzEuocnG4O8A3f3lstWzrgX6+cO8SagrseKwGPNXHjrcutFPoYltHR+ddgaKJWBfdjBIaJdq6C8Foxn3ZXSiu0nO9a2cVxV2B75oHGH31UdRYGFNxLZ5VtxGWPeTd9ClGXnwYJTiKwVuE75oHaA8ZJ4X2UToHgmjhMQIb/5AWV6NBYuEgT746kBZPKhr7W4cZHI9mZNSe39TOX62dldMiLxeCIBCMJQlGEjitRqxGMWe2biKc4JqllQTDCfa3jmAxydx+9XRK8mw8/sLO9Pegamw/NMD00tqsXslOm4F7bpjJb9Y1EYklmVXj4/qVlURiCrYsy/19I+FJoX2Ups4xBkbCXL6wDFXtpK03gNNmZO3qaYSiCf60voV7b6zH5zQjigKvbe/iQMcoC6enllwUJWWbaDLINFT5eHFLx6TQPsqz69u4aml52oAagKffaGH57EK8ViNDEzEmwgl8ThM2o4SqqHz6tnn88Mk99A6H8LnMfOSW2QiayodvqGc8kiCeUDAaJSTA75q65lmdY4iywHMb2tJiqpaagDo8Hs0oB3pufRtzqhagZrGN7B0KZ6xKvLy1k+uXV+KegsmWZrPMus3pK4SaBm/u6qb+pobzzm/8fEEX2zo6Ou8aokYv1qs/hT0yBrKBuME9pcur5yMxTMg1l+EvnAaJGJrdRxA7KEDhHPJv+yJEg2BzExLcCMF47ifLMqRCgKx13aIoZvUzlrPUep8KQYDm3gD/9ZudTIQTuB0mPvOB+VTkW7M7eQgCZqPEijlF3LCiClXTiCUURIHsteaiOGmFdyLdgyF6Bid48MNLSKoa0ViS/3xkG1+8f2nW7XOWyAgCv3ruAEsailjSUEgkluTJV5v55Hvn8LFb5/DoC4c43DWOLAncfGkNxfk2JEnkcNc4G/b0Ighw1ZJyRMGPlOVFJFHIOrRFEgUEBLY3D/GjP+4lHE2S5zbz6ffPw2yU+K/HtvPJ981DFAUEAX769D4+esssEhr88Mk99AyFMBkl7rqmDr/LiuHUZcM6Z4qWvQcCIftnK3X+s1+vQrYLUBA4Y4P5nGhIWb4HUrGL/Mv0L0BvkNTR0XlXkdAMxMz5xOSLX2gfJZlUCJkKCdkrCHPMeUVRICTnEbJXEhJSy9Ieu5HVC9Kz/TUlLkSbB9eK96fFJZsLg9XJ+66YlhY3yiL1lR6WzSpMEwuCkPKoPtOs9ng4wX88sp2JI6UQYxMxvvXoNkKx7O4mZpPEb19p5sd/3Me/P7KNbz26ne89sYu2/iDXr6xK21aWRObX5RPPMsQFwO+xsn53H1/4/nr++Qcb+NefbeH6S2tyNpz5XGZm1+SlxeqrvOS5LNywsoo3dnbzm3WNPP1GC1aTTGWhg5e2dnG4K1Vbn1Q0fv9qM6oK2w4OsGFPapVB0+CFTR0caB9jTm0eBjn95/vGS6ooL7DjPMGD+tbVNQgC/PcTuyaz3kNjUb73xC5sFgP11T6+9rPNfOWnm/jyTzZhtxjId1v42dP76RlKTbeMxRV++vR+ukeyT7vU+ctQFZXrl594XQpUF7tYNNOfcYN6w8oqVCX7l1eR10KpP91d6brlFbitU2P7F40qrFlSnjaRVRQFLplbTCzH51EHpIceeuihc70TZ5NIJP6u+UG9WLDZTITDJ8mu6Vw06Of6ncGUDCANHITBJoySBiY7Wo5ciwDUlrmpLHYhSSJXLSnnlkursRgkZE8R1tLpCIKAtW459pW3EzP58DhMzKvzIwowZ1oed19fj99lxmGRWVRfiNEgUV3i4t7r6ynxWc84ydY5HObV7ekj0OMJlaWzirCZZbqGwuzvGCMcT2KzGAnHFR55/gAnmnFML/Myv8ZFfXWqPKOu0sMHr6mjqiBVlz0WTnCwY4yu4TAmk4zNJNPUNcq0ci8FXis+t4UrFpVxoHWY+iofhizZyIHRCOGYwqwaH1azzLJZRXgcJlx2I3NqfNSWeRAEgcvml3LblbVowCN/PpTh2b1ohp+Xt3UxPJ4+Kt4oi6xZWMKs2nyMBpGiPBt3XFNHVZEdl9nA3LoCHFYDHruJtZdPo6HKS1vvxKRoP0o4mmRpQyFLZhZQUeREliSuWVrBTSsrCcWSPL6uKeO9zaj0Upqlhv1ELuTP9UQ0SWPXOO39QWSDhM0sT11S+CR47EZm1+YjCALTyz188LqZlOdbcVpT59RoECnOs3PXtTOoLnLmXEExSCILZxTg91qwmA2857JprGgoQJ5Cn2u3w8Ts2nxEEWpK3Hzw2hlU+q1MYfr8gkMQBKwnuaHRy0h0dHR0LmJMygSBZ79LvK9lMua76TOoxfNyJiKsRolFtXksm+lHUdTJ7RKiBQrnYiqdj6pqRI+oWUkQqPLbmXbdTDRNQ1W1ybKMYo+FO66chtdrZ3Aw013jdDAaJERRSKtdNRkkzEaZDfv6efhPx5oLF88s4N4b66kock5mi4/ishvpGorzH49s52NrZxEIJfj2r3fwhXsWI0sCD/14E8FIKntulEUe+sgynHYT//O7reS7LditBrYe6KehypvTt9hhNfLchraUEPbZONjWRiyhsHp+CWZZZE6VhwW1PhQldYwUDaqKnWn2ggAmk0RDlTejQXJ6uYdkUqXcZ2X6dTMQRSGt+bHIbeL2K6dhMMgEjjQ+ehyZ9ol2i+FI7bvEkrp8ltcXTJ5rSUrte+9weibbc0ZjPC88JqJJvv7LrfQNh4FUSdAX71tClf/s+/BLosC0Qgf15fVomkYioU5a5pX7rFRfNR1RFHKuwByP0yJz+bwS1iwsPeNVpNPaV6CmwE79TQ04nZbU51pPap4UvYxER0dH5yJGG+lME9oAYy//DINy6pKAZFLNKsiTSTWrh7Oi5Ir/Zb/EkijwntXTJpeuRVHgfVfUoqHxyJ8Ppm275UA/g6NhPnTdTGzHlXqsmFNERYGdp99swW4x0NPZx1D/EImkysH2UXY0Dk4KbYB4UuW59W1UFTq5ZG4xg2MRWnsCWE0yd10zI+ePp8dm4ONrZ/PAzQ3cf0sD99/cwEdumY3bdqw5LXVcU8ckqWqsvawmbUrmwhl+rCaZS+cVU3TcOPeaEhdzanyT5yQYTjI2Ecuo6w2EE/QOhxCPZN4LPSbef5wbhSwJfOTWWceNbk8/15IId98wE5PxWIH2miXlGSUq5wQZAjHlrFg3t/YGJoU2pJoUf/X8If7Cy/e0EQSBYDRJJKZwYvl9MqmeltA+iqZpZ0VoH4/eDHn66JltHR0dnYsYLZHpl6yEAwhq8oJJt+Q5TASCMe68egaJpIpBFpkIxxEFIcMnGlI1xoU+O1+8bwn9I2GsZgNepwmHxUBdgcyHKkPIB34Hsok1195Ci6jRNJR5nAZGIxhkgTVLy5le4SEWUyj0WTGcpEtQ06DEb+fJV5s50DbCjAovay+fljPzF0+q/OLZA3xs7RzCsQRmg0zfcIjmrnFWzyniwfsW0zsSRhQEirwWjJKIqmk0dgd49IVDRGJJbllVzeI6PyajyOHeII+9cIih8Qir5pdy+YJS3BaZqxaWMLsmj9FAlAKfFb/DlNOWLZ7QMBkk/t/dixgcjeKwGnA7TATDMXCd+ZChqWIwGOeZN1vZ2ThAVbGT919ZR3meecomnh5/s3WU0UCUpKpmHdY0lcQVlW2NQzz5WjMGWeLOq+uYUebK2mSsc+Ghi20dHR2dixjRU5Kay60ey0LZZq8maXBeMEu/JlnkuuWVHOocpbUnQG2ZmyX1fixGiYZqH/tajpVgWM0yRXk2nl3fyvMbj1mUSaLAQx9dzuX5w4RffpSj+kx+4/9YeOvn8bhLeGFTR9rrXrOsgo6BMF/+8ca0+u+bL63mtssriWcpSw7EFf7z8R2TGdItB/pp7wvw+XuW4DJninS3VWLedD//8ci2yZggkPJYBsyymFHG0DUc5pu/Orb9T5/ej1GWKC908I2fb5m0BXz6jRZi8SR3XDkNGZFSr4XS0/DKtpslHnupk/W7eyZjhiNlNeeKSFLlx3/cS9ORUfW7m4dp7dnCP9+/DJ/tL7e0A6gqciIIpK3mXLu8ArOc22ZyKhAE2N82yo/+uHcy9q1Ht/PPH15C5TtQwqJz9tHFto6Ojs5FQjSp0j0UJp5UKMm34TTJyLKI76r7mNj5IsnxQazTFmGtXURclDlZSrBvPMrgWASPw0SRx8rbcOybUlwWmSXT81lRX5C2PP6Rmxp46q0WNu7to6rYxQevqUPTBF45oaFSUTXikQjJfesynlvr2k3l/Dr++gPzeOyFVLPi2tXTqC93s/nQIAtmFDC93I2iaCQUlde3d3HFolKsBpG+sShjwTiFXit+p5H+4XBaKQKkMuT9IyE8pU4GAnH6RsK4bEaKPBZA4PKFxSybVcjAaBizUcbjME1O0AzGFboHQ4iiQGmeDZtJYlfTUMZ7eG5DG3deM4M50/Kor/KRVFQUVePFzR3csKISxxlMThwNJdi4pyctlkiq9AyGKDpHme3B8eik0D7KRDhBz2AQn80zJa9R5LHw+bsX88vnDzAejHPtsgoumV30DpgsCGk3hkfZcqCfmiLHX1yGpXPu0cW2jo6OzkVAIJLkJ3/az57mlBDzucx87q6FlE20Mfziw1hrF2Ium0mkbQ/hw9vw3/EQITkv43lkWWJb0xD/89udJBUNQYA7r57B6nnF51xwAxl1qE6LzIeuquN9q6dhlEVEIJRQcdqMNMz2saS+kFAkzmMvNoIgITl80N+a9hyS3cNEQuGN7V3MnpaHLIms393DrGovBT4LYovAo38+lHo9m5EPXTcTWRZ5bnMXT77aDKQaKj975wIsOUSt2SjT2DPBtx7ZTiyRusm5eVU11y8rJxhW+OavthIIpVLlSxsKuP2qOhJJle88toPeIxZ8NaUuPvmeOVkbFX1uM1azjNVsmKxjt5ll7r6h/oxLIGRJxGYxTFotHnsP585k22gQkSWB5AnC0zzF49enFTl48J7FJFUNi+HsZrQnEcDntsAJNxNepxl9AOPFwQVSsaejo6MzdUiSmHVYxPmI1WrAaDy1oGjsGpsU2gDD41GeeasVxeoFNYkSCQAiicAwajwKWvas9sB4lB/9cc+kqNE0ePSFg/SOHsvWSpKYdYBKLpzO7I11oihkFYJWq4jbnZlBlWVwZcmsapqG12ni6GFymkU+e/t8FEXjW49s4zfrmvjgtTPxuW3YF98EooznqvtwrXgPosWOsWIu+1pH2NE0xN7Dw+w9PMzB9lFe39GNqqbGzFcXu1g6q5BwJM7rO7qIRRM8+WozteVubllVjcUs86M/7MXvMbFmSXna/q1eWEq+x8wP/7AHRdWoLHLitBl56vUWogmVx9cdIhiOU17owOs0s2lfP+19E7y+s3tSaAMc7hpnZ9MQc6fl4bQZ+fu75vO1jy9HlgRuXVVDOJrkrd09rJxTxD03zEQBXtjUjvmIJ7fBAHZ7dkcRp9OM8chpclkM3HF1HXaLxC2rqplZ5aGq2El5walLGlw5pkzmOte5kCQwm4+VhxS6zNyyqiZtm/l1+WkNpEajhJhl4EouUvuUZfCSKJxR6YgogtEoZ5v5dFpoqsaNKyuRJZFSv50CrxW7xcD82vycw5Z0LiwE7SI/k8PDwazd8TrnL/n5jrdtEaZzYfFOn+ukqtHaN8HGfX34PRYWzyjA5zCel178khqhuSfIW3sH8DqMLG/wk5/nIpnFAECSRJ547TDPvJmesS3wWvnqPbMZCmlsbRqhdzjEwjo/te443oIC4slMddA6EOQrP92cEf/M7fOZUebmcE+Azfv7KPXbWVjnP+kIaAkNw1gzkUOb0FQF64xlxL3VaBgYmoixaX8/I+OxlFNIvg1JFOifiLH94ADdA0Hm1/mpKXXhNssMhRLsPTxEY/so9dU+6iu9eG0GxiIpb+zdTYNUFbuYNz2ffKeRX/y5kVe3HSslEQT40v3LKPSaae8PsWFPL2aTxLJZRdQU2nn8lWby3Vba+yZIJFVqy9w0dowwv86PzWxkf+swI4Eo8+v8dA9MMKcmD0ESONA6QltvgLm1+ditBnwOM0aDRPdQkL7hMIU+K6V+O/GEwp/Wt1Hqd9DaPY7fY8Vqllk0s4DH1x2ivspHU+cYTpuRAq8VURTY3TTA9kPpJSMr5hTxyVtncbg3yMa9vYRjCZbPKqaq2EFz5zguh4ltB/sZGAmzaGYhZpNEWb6NUExhV9MgLd3jzJ6WT125B69VZjgU50DbKPtbh6kt8zC7xkee3UggptDcNcb2gwMU59tYOKOAAudJrP9EaO0LTfp5L59dRFWhDUGDgUCMzfv7GQvGWDGriHK/7aSNf8OhOLuah2juHKPhyLn2WA0Eokm6h0J0DQTJ91go99vx2oxEEwqNXQE2H+ijyGdjcX0B/lPYFPaNRVm/t5dkUmXlnCKKvWfu/w4wFkmyu3mIg20j1Ff7mFXtw215G9l2QaOlP8SG3b2YjBLLZxVRlmc57zPb+u91ClEU8Ply34zqYlvnvEP/8L57eCfPtSDA9uZh/vuJXZMxu8XAVz66DJdlahqspgpRhD1NvXzriQOTMYtJ5uv3z8XpdGV9zO7WUb77+I602DXLyrlqSQVfe3gzoxOxyfid19Rx/dIK4vFM5T4eTfLln2xK216WBL780RU0dY7y8DPHPK29DhMP3b8Ue45piuaxJgaf+DpoRxSDIJL/3n+kx1TFgz/cSOQ467C/u2M+xX473/j5VgbHjjmDvGf1NFYvKuF/f7ubg23HPKcXzyzgvlsaePKVZl48rrGx1G/n7+5awD/895sZg2I+euss3A4T3/zlseZCgyzyT/ctIZZQ+OYvt05m9AUBPnv7AnxuM1//2ZY0p4qP3DKLxTP9fOnHm9Iyz9evqOLmSyv5vyf3srNxkCKfhd7hCLNr8vjE+2bz9ButPLe+bXL7Aq+VL9yzmJ3Ngzz89LHjajPLfO6Di2jsGOXRFw6lvYePr51Nqd/Ol3+yKc2J5e/vWojPZeYbv9jCePBY5+bd189kQV0+3350Bx39xz5rVywq4wNX1vLwn/azcW/fZHx6uZtP3zaP17d388TLxwbb+Fxm/vHuxeTlaEZsGQjxrw9vmmwkFUWBL967BKfVwIM/3ED0ONu6f/jgQmaUZr+OQwmF//rNrrT67BVzivnw9TP41YupG6gin4XB8QileQ4+f89i3tzdwy+fO2YB6bab+Kf7FuPNYVXYOxbln3+4YbKR9OiNWHmeNev2uYgpKv/zuz3sPa5Bd+EMPx+9uR7DGaa52wZCfPmnmyb/liWRr350Gf5z6P5yOui/1ylOJbb1MhIdHZ13BbGkxq9fTBcuwUiCtr7z8IciGeGxVzvTQpFYkoMd4zkeADUlDq5dVjE5WW5GhYc1i8tp6w2kCWeAJ189zEAgmuVZUo1wn3zfXNxHyg2sZplPvHcuaFqq7vk4RiZidA5m9+t2uUyED7x5TGgDaCqhva/S0hNIE9oAj69rIhBMpAltgGfebKFvKJImtCHVPDYwHOalzekOIl0DQTQN8tyZrhuFXltG9j+RVNnROEg0pqTVA2savLatk86+iQxLuCdfayYcU9KENsALm9roG4mws3EQgN7h1HvZc3iIsUAs7aYAoH8kTCAU59m32tLioWiS/pEwDouBubX5k/Hls4tASF0LJ1oePv1GC50DwTShDfD7V5rpHgylCW2AV7d10jcSThPaAI0dY/QMhnjqzXRv9uHxKF392T8rbreZV7d1pjm2qKrGq9u7yPNY0oQ2wBMvN+X0ru4eCmc0Qq7f3UPPSITXjjS99g5HSCahrW+C8VCC37/SnLb9WDCW83MtSQLr9/RMCm1InevnN7QhnmFte+9IJE1oA2w7OEDfaPbPVi4EUcg43klFZeuhgQum3E3n5OgNkjo6Ou8KNLSM5irgPF35EkgqmevHykn21WaUue3yGlYtKCGZ0PB7LBhFaM3ymNSEx+zPE40n+fmf9vM3t88jGlewGGX+8Nphrl5anvVY5fJqFgQBlEzfYk1NZn0fCUVFyzKqRNW0nK+hqlpW98JwNM6dV9fxncd2TO5zTYkLn8eS9RpIKiqCmGWfkipKlgOVVLSstbSqquW8nlRVQ832GLSs5zqeUNjZNIgsCdx+dR0Ae5uHaOwY5dK5JZn7pKpo2QYK5dgnVSPr/hzd12wOGLm2BzJWESB1XKUsYjHbtsde+yTnOsvLa2hZr6fcn2sh6+vHk+oZl5Hkeo2TfU5zkW0ATSJxnteQ6Jw2emZbR0fnXYHFIPHey6elxUxGiYpCxznao9yIRjPvvaQ0LWaQRerKsi+9T6JBodNMqS8ltAHKChxpkxQBrltRic+ZvRygwGvF77XyLz/exL/9YisP/Xgj/SNhSvLt3LqqOm1bm1mmNIcP8NhYFGv9pRlxW8MqqoudGOT0n5/3Xj4Np82UMaVwzeJyinw2yk84T/VVXvI9FpbPLk6L57nNuOwmIvEkn7trIQ/c3MCn3j+XG1ZWEY3HuXZ5Zdr2ogAL6vxYTcaMqX1rllZQUehMm6QIcOMlVditBrzO9CX+S+eXUOizUFvuTovXlLjwua2sXpB+Tt0OE06rkRsvST+uRlmkqsTF6oWlbDs4wGMvHOKxFw6xr3X4yPsVMjKe1y2vpKzAkeGGcuPKKkr8dvye9Ez/0lmFFHgtzK7xpcVL/XaK8mxcvbQiLe6wGigryP5ZGRuLcvnC0oz46gWl9AyGkE9oQnzv6mnIOdRHcZ6Nkvz0a2pubT4FPitL6gvS4gVeK06LgRtWVqXFrWaZyiJn1udXFJVL5hRnnOvrllegZLnpORnFPmvG69RVeCjynlk5iqZq3HhJ+nsQBVhcX3CeJgN0zhS9ZlvnvEOvAXv38E6f67iicqBjjBc3dVDos3H10nIKXObzsuNfSATZ2zHB81v78Tlkrl9aSmG++4wbpg73BTAZDby8rZPeoRArZhdRUejA5zBjM2W3chsOxdlyYICdjYNML3dzydxi/A4TcVWlZzhC71AIq9lAmd+Oz24ABIaDMboHQxhkkTK/HZtRQiSOcaiJ4M4X0VQV+7w1xLy1CAYLg8E4HX0TxBMqpX47xV4TIiLR0DjJgXa0aADZW4zqKmEgkMBqMbBhTy8H20aZXeNjSX0B8YSC2WRg+6EBth0coLrExWXzSyhwmRgIxDjcNc4bu7rxe6xcubgci1HEapZp7gqwbksHFpPMNUsrqC6yo6rQ2h/k+Q1tJBIqVy0tp7bMhcsq0tgV5sXNHQyPR1g1v4QZlR5cJpm+8Rivbu+krXeCxTP9zJ/ux2szMBiMs2V/P7ubh5hV42NpQyH5diPDoTi7m4fZvK+P8iIHly8opdBlJhhXONA+ymvbu/A6zVy1pJyaUieH2kYJxxXWbe5AFgWuWV6Joig0VHto6gzy/MY2ItEka5aU8//Ze+/wOOpr//81s71LuyqrXi3ZKu5yodjYGAKhmlBMwPTccFO+JLn3QgrkpkAS8stNI6SQhECoJhSDqaaDbXDvRVbvdSWttpeZ+f2x8srrXRlDSGj7eh4/j308u/PZ+Uw5cz7nvE9lvo0Ms0jbQIBXtnYyMOLnlFkF1JTZydCrGfVH6HP5cftC5GQYycrUMjQaQqtWsa/VxZ7mYaaXZDB/hpMxb4j8bDP7mod5Z18fBdlmls8vIj+FQswRIgq09I6zfnMHAnDmwhLK8ixoVQJ9owFeeKeDMU+IsxaVMNG8EUMAACAASURBVK3AhkYlMBqI0j3oxReIkJdlpCQrpiwy6AmzcXcPjZ1jzJqWxYKaXBwmLaOBCNsOxuZ6WpGNJbMLyLboCEoy/SOT52Vhjplsi2bKa0UBuoZ9PL+pnYgkc87iUkpzzYgfoFujHBxH6+5E8Y0gWByErcWIuvf/Ai/JCq39Hp5/px2DVs3ZJ5VS6PhgRZv/TtLP6xjpAsm0s/2JI33xfnb4qOZaVAkI8IloFmHQCSgCBIMfbKytA15u/9sWvnhmFSX5VtasP0wgFOV/r1+I9jj5oCqViCCKiIJCOCwhirCvfYxfPrIjnptbU2rnxpV1eINRfviXzXH96PwsE7dcOQ/LRETdYtSCIOHxxf7f5QvzmzW76B70ArFisO9c00C1Q8D3xr0Em7dNjELAcf436DPP4Oa7N3DFWdOZV53Dhl09PP12Gz//2slkGDSo1QKIKtQiBIOxXPBhb5iXt7SzbF4RgyN+PIEoDdXZDLpD/P7JXXxl5Wz8kQh/X7ufr18xFxT4vwe3M7s6G51WxcbdvfzXFfMw6NTc/Y/d3HTZLMwmLX9Zu5flDSVUTkTaDQY1EQmQo3GlmPXbu1m/uZNip4WuAQ/L5xfxuYYiRECnAwk1akGKz2lLv5e7n9jF0rmFDI8G6Br08r/XNXCgY4wHnzvA6nNqCEUkHn3xENddUE+mVccvH97BJcsrMRu03PvcPr568RyKHcaJMamQFYFIOIosgz8q89grTby1qyc+v9ecU8Pc6iz+67cbmFFq5+RZ+ew8PMjmff387w2LKHYYUatBpVajEmX8/uO/5fWNBfn1Y9v47lWxLpM/+fu7fOOy+fEmOOJEdFueuObcwSh/XbeffS2xnGdBgJsum8P8qkzC4ZiMn6wIKLKCdFTzJVEUEUQBAYVoVEYUYX+nm/97aHv8vJxeksmNF9VjfQ8NbpVKREGJj+n9oiVMeOdaPFufj9tsiy5ENfMcInywouvYvUl431H2j4r08zrGeznbqh/84Ac/+PcN599PIBD+WMp6pZkak0mH35+iD3KaTx0f1VwrCp+Y+0JUIqXc34li0KsZ8YR44Z0ONuzqxeMPx1Q2zKmVGo6gTORKH3kh8YVlfv3YTjQaFSfPyMRk0LC/fYyFdU6efitWnHcEjz9CeYGN/AnnLxSVENQapAlnfG/bCK8fJcsnKwqDLj8Lq6z4X783YRyhrgMYa09BVunZdqAP1/AYu1vGWLGghLwsE0atCkWJ5QEfne9r1KqYXZ2FSiXidJiozLeh0gg88tJhDnWM8fqO7tjxCEZx2o14gxE27O6ltXecpq4xgmEJSVaoLLLxxBvNqFQqBkcD7Gwa5kDbCAtn5qMWQFIUghEZrVqFLCuMeMP8es1O/KEo/S4/gVCUg+0jnDq7AKNWhSSBLMnxOQ0rcM/avfQN+2nsGKVrIFbkOKPUzq7Dw+xpcbFpbx9b9g/gD0lUFdsYGAnwzt4+th4cZOOePvxBCV8gQkOtExSFaFRBisrxc7xz0MuDLx5KOK4HO0ZYMruQ/CwTL73bwbaDA3QPelm5tILacgdaUUCWQYrKRCLHv1j0eg3PbWpn92EXL73bwUvvduAPSBj1auZU5RCNyiiCSFRWUIuxa6+ld5yn30osCjzcOUZDbT46tYgkxc6/Y+OBiqKgHJWH7o/I/Pax3QlFrMPuIDVlDnKOE4mPf9c/cR/QeboYeekvCbZQz2Gs0+cT0b5HyteUY+JjudI2FenndQxBEDAap76npgsk06RJk+ZTjF4tcvXnqjlzQTG+QASnw4jdrCVlZeFxCEclVtRaWGjsQNf+PLLDyejc5YRlhZ4UiiRDYwGiisKhLjfr3m5FlhXOOaWMmeUZjHlDSdsPjPoJRJMj7bJ/HCUU5KLZRi7QNBHp2o9m1hyE6jLavCH0GpG3dvexaU8vVcWZnHtSKXZzLOVgx85B3tzZQ9ZEQ5TSHBP9I/7kfY8EKCtIjkT2DfvQa1XcvLqB5ze2sbtpmGXzCjHqNYTCEiPBCM9tbKWjz0NDTS6nzMrHH4py7GKqooAvGEn5ghMMSwyOJo8pHJWTFEQAAkEp5fHrH/ETkeSU8dRj1VQAQmEJXzBKQY6J/71hIYMjARw2PUadivbecWqPyTs/HlqtKuU50DPkRRBikfun3mzGG4hwxoJi5kzLSjmmUU+QcESCKdKbUhGOykkKNhA73v9q5JCXpAtJkZGDPjCl/EiazyhpZztNmjRpPuVo1SIl2Uc9/T9A4CzTpGap7iDh7c8TAXD1YOveh23V7Zw6O5/HXm1K2L6iIIOWPg+/fHhH3PbbNbv41hfnUp6fHPU7eVY+eiGMT1SBPJk2oCqeidFsZPypnyKNxhqmREf7UPc2Un7Of3PP841s2T8AQO+wj52HB/nNN07h7V29rH2zBYjJAe5vG+H71y/k5Jl5tPeNJ+x75rSslOmGJ8/Mx+2N8IsHt8cVQx56sZFLTp+GxaDm+/dsirc0f/qtVgZG/FxxZjV2q56Ro6QVMyw67FM0hMk0ajhpZj4vvduRYLcYNSyZXUBjR6LkoTPLRGGumReP2f6UWXkY1GJKVQtnlgmdVkXoKAm+YqcFh03PHX/bwsBRLyAmg4Yf3LAw5VinYnw8yOJ6J7ubhhLsi+ryaOxy89P7t8RfQP76zH6uO6+G0jwboigkHPe51TlkmXW8nxPUZlSzqNbJpolmOhBLScnP+td7u2KGE9FoRfZPnk8qix3RlnucT6X5LJJOI0nzsSO9LPXZ4bM016IIhmA/qrEOtGIUSWtGUT7u5U+T6KLjeNb/IVE3W5YwFNfQ5DWRazfSNeDFZFCzcmklOZkG3tjenZBeAhAMRTljQREFORaaukaJRmWWzSvijAXFuAICuoIq1K42lJAfbcV8BsrPwSh5CO96IeF7ZO8omvIG/vhid4I9FJZYMreIe9buS5DUk2WFaUWZFDstmI1a2vvGMejUXH5mNQ6rnhmlmZiNWlq6xxCAc04uY1Gdk+YuN3abjouWVbJghpOG2lxe2NTOzKpsnj+qQQ3EIrkNtXkU5Zhx+0KMjocoL7Bx7sllGHRqrEYNvrDEwGgASQGDToUiKxRkW1hQ52RudQ5L5hRyekMxJU4zh9rHuPqcGTTU5LJ0bhGfP6mUniEPNWUO5s/IZUGNk4V1Ts5YUExZfgY6lYAMjHjDuDwhtBoVGpWA2x9hYZ2T1h43474wteV2rjuvjlAkysLaPHoGvbjcQUqcFr56ySwK7XoEIZZX3TnsIyIpmPTq4xbrmU0xZZXWHjdqlcjK0yppqM5le+Ngkhb1wIifc08toarITlP3GIFQlIYZuVy6ogqj9sSj2gAoUFaYgccfpnfIi92m58aLZjIt71+vMiSpjVgr6nDb6xjJbUBXtYjchhX4dc4PdT9RRWFoPMS4P4Jeq04pp/hR8Vm6hx+PdBpJmjRp0nzEiKKItm87g8//CSUSRFBrsZ9xHdHihcifGIdbhajRI0uJzrOgiqmBhCMSFy6tIBSWeOndDgpyTJhSdOY0GTQYtWoWz8impjSTiKSQaVaDFJNn3NDpIJi7mtxKFfv6Ipxuy0MUB1OOSFRrUIlCkq6xShQw6NRJjXM0apG1b7bgdBj4/vULkRWFp15vwReIUJRrJhqVuWV1Q6zormWIqCRTkGOmc2CcXzy0HUWBnEwDN140M0k6DmKFnipR4N51+1lQ62Te9Fy6Bz3cu24/t395MT0jAX7+4HbGfWFUosDVn5/B4ppcIrLMn9fui0eYVywoJjeznJnTsrjnqX00dceavMyuyuayFVVIUZn1mzviDWmKnRa+dvEsIpLCy9u7eOL1ZhRlouvjlfPx+CPcu24f37hsDhqNyJgnzA/+sokf3nASuTYd3/riHDz+CEadGr1KQJKgeyTALx/ewZg3hCjARcuncfq8AnRTdEa06dWcf3IRi2bmIQDZFjWRCOhTOM8GvRpkgboSG7ddv4hwOEqGSUMKqfMTItOo4Uvn1HDp8io0GhGzVvy3tDmXFdg+bOGuda2EIhI6rYpvXDaN6aYPrybEH5Z4+OXD8ch9ZaGNr108C+sUXVvTfDw5YZ3t22+/PaX9jjvu+NAGkyZNmjQfJaIo8D67LJ8Q+kAfwy/cgxKJpRYo0TCu9X9B7+99z88KgpDSsZtqrIIw0VAmBRrN+3tAq48SQw6oLQjzLwZAZc5E0OgQbLn4TXlcdFolnQMeHn+tiXUbWolEJbIzjJw6uyBBT1slCpzeUEw4HEWSFGwGVSxtYCK7YdQb4pH1h3nq3UH++HIfG/YN89d1+xEy8lGVzUv8LTNOQ7Fmc8YxetAVBTbUKpFLV0wDwG7Vo9eqcNj0FDvNnHNyGa9s6aKlZ5Qt+/po7BxldlU2uxqHWfPKYe5+fBd/fHIvj77SzIbdvfiDEdZv7ow7T4OjAZ55uxWLUUNZnpWcDD1L5xSgVsN5p5RT4DByyqx8GttciEBTl4vF9XnYzFrufnw3/lCYpXMKcFh13PvsAXxhiX+82pSQyvHKlk58wQhb9vfHHW2AXYeHaOwYpWfIy7v7+jHp1djMWjr7PbyytZPxQJjHX2tmwYwcbji/Fpc7yP0vHKAwx0ymVc9fntnPofZR7np0Kyvml5Jrj6W2aIDCLAP6CcWQkKTwl2f2xXPDZQUef7WJnqHJMaY6LyMRyDarmVaUSWQiZbqyKAOzISbHV1tmB+DCJRWoVSDLYFYLZJm1KR3tqbonqqcQ6bYZ1BjVyY62KIrv67oWhKn3fTRuf4TfPLYrrsITCkv8Zs1OxgOTL3n/bAfIw13uhBSZ5m43b+3qTXlPSPPx5YSl/+bOncuOHTuS7AsXLmTz5s3v+fk777yTl156iZ6eHtatW0dVVRWjo6PcfPPNdHZ2otVqKSkp4Uc/+hF2e+yCrK6upqqqCnHiKvn5z39OdXX1+/l9aem/TyBpKaHPDh+nue50+dnbPIxaLVJf7qDQYfzQ7h36kYMMPX5nkj37wm8RzJmZ8jOKAj0jfva2urCZtNSU2skwakCEruEAe5uHEEWR+goHhfZYwxKXN8yBthF8wSh15Q7y7QYEwBzoItjdSHTchb5oOoKjlIBqarUEX0iiuddNU9cYxbkWqoozUYsCg/0DTNcPE+4+iMqahZA3nV1DemrKHHQM+tjdPIRJr6G+wkF+ZkwJomPYz94WF5KkMLMyi9I8A0pEoH88yIHWEcZ9YeoqHJTlWjjQOcqvHtmZNJ5f3bQEM14YaCI62IbaWYmSXUmvT83hrlEyLXqau8coyDZjMWmRJYXqUitd/X72t7mwW/XMKLXjsOqIRiL0jYbZ1zKMTquittyBQQOHuz3YrXpaetxEozJVxZnsONxPQZaV+547kDAeg07Nz75yMsGIRFPnGD1DXqpLMinNs2DVqRnxh2ntGae1d5zyfCtl+VZEYHAsQDgq09g5itNuoqLAhkoU+PG9m/EFE6Pwv/3WUu76x+6k1uWL6pycc1IZh7vGGPeFCEdkch1G9jQNcdnp05CBQ+2juMaD1JQ6cFh1mPRq/GGJpu4xuge8TCvKoDTPSoZBzWggSluvm9ZuN8V5VioKbIDC/9y1IWkebrxoJg1VDnpGAuxrcWExaqkpyyTTqEWthtZ+P/vaYikjdeVZVDiNvLm7j9L8DA62ufAGItSWOxj3BpleYkeSFA51jjLg8lNT5qA4x4RaFPCFJVp63HT0j1NZmElZnhm9WjVhH+dw1yhFuRaqizPISLF6Er+GgI4hH3tbXBi0KuomzsvjRb3H/BEOtI/g9oWpK3dQ4DBOGZXsGPTyw3u3JNl/9KVF5GQY6BjwcKhjhIJsC9VFGVPq2k+FSiXw4MtNvLylM8FemmfltqsbED5I8cWHzMfpHv5R8l7Sf+8Z5nj88ccBkCQp/vcjdHV1kZFxYhXLp59+OldddRVXXHFF3CYIAjfccAMLF8aKMe68805+8Ytf8JOf/CS+zaOPPorJlC7rTZMmzb+OtkEfd9y3Je5cr9WquO3ahXGH8Z9FZcpE0OpRwsGjjGpEi33KzzT3jfPTv2+L/9tq0vLDGxbi9ke4/d7N8bbjT70hctt1CzHp1PzvXzbjm1B5eEyAW69dQH2Gl6F1vyM6Fisi9Gx/AfvpV6OZvoJIREresQjPvdOeUIBXW+7gpstmUxJpwfXSXyc3zcil5rxvIwJlOSYq8ywoiowsx6KWnS4/d/xtS7yr4bq3W/jetQtizur92xj3xXI9n3m7lW9dPheHNfl4F+aYUWsE/vhsN7ubfGRYChkdd3Pq7D4uXVHJ5gMhHl3fiN2m5/VtXRQ7rfzX5XPY0+LiD0/uiX9PVoaem6+cz5g3xM/u3xov2DPo1Hz3mgbys8389P6t8SJCURT49lXziUaTj1FVcSYKCn98Yg9tE8WWL7zTzsXLp3HWwiKeeqOVjXsmVy0W1Tm5+vPTaTvo4bFXDsftxU4L37lmLjXlDrYeGEjYRygsUVvuSHK2p5fYicoyT7zehH/CQRcF+Pplc0Al8ssHtzM0GlPneHZDG/9xYT2zp2Xx13V74sWWL7wT64J54ZIyntvYxmvbuuLfP2taNjeurKM415KkhpKVoae138sd922N2yxGDT+8YRHuQIQ7/rYlnie/9o0Wbr1uAaX5Gfzs/q1x9ZFn3m7lv6+IrVL8/KEd9AzF0pKefLOFL19Yx7zqbO57/iDbD02mDp1zcikXnVrOC5s7eH5je9w+ozSTr35hJkZNaie2uc/Dz/6+Nb4qYdSrufXaBThtqa9rdyDCj+7dEo/o/+PVJm5ZPZ/qgtTdKC1mHRq1mND+Xa9VYTFpeXN3D4+sn5zrquIMvnnpbHRTtc5MgSQpVJdkJjnbc6qyUYnKvyVVJs2Hw3vO+tNPP83TTz9NJBKJ//3pp5/mmWeeoaurizvvTI7WpGL+/Pnk5eUl2DIyMuKONsDs2bPp7X3vZdU0adKk+bAQVSLPv9OWEMUOhSW2HuyfcrkaYgWPRtmNMTKEVpXCaT0KRdTiOPN6BE1s2V5QaXCsuAaJ1E6CpMDDLzcm2MZ9YZp7xnl9W1fc0YaYvvSG3T0MjgXijjbEIuP/eLWJyFBn3NE+wtimJ9AF+lPuu38syPrNiUoX+1tdRD0jBDetSbDLYwMorklHQJLkuANgs+nYuLuXSFRm3Bdm3BcmKim8urULrVqMO9pHePz1JuxWPVeeNZ0jK+9Wk5avXDSTAVeA7YcGiUoyw2NBJFnhjR09DI+FeXlzB7ICw2NBwlGZ5u4xwlGZNUc5tRD7/4ERP89tbEuQ5guEouxtHuZgmytBrUOWFV7a3EGpXeTMhcVxe3aGgcuWFtEz6I072kd4+q0WhsZDCY42wLv7+ul3BXj6zRbqK7K49PQqls0rYsDlJxoVmD89N6Gd+tI5Beh1ahbUOqksnFyBmFmZRW1ZJq0943FHG2JpHq9t7WTcE4472kd47JXD9Lp8SaomL2xqp88V4PXtXQn23U1DDIwEWP35GdgmpApFAVaeVonVqOHRlxOPq8cfoanbzcZdPVQWWvmvL87lW1+cS2WRjR2HBmnqHE2Q+VMUePKNZiKSwsh4kBULirnk9GnUlNl58MVD9E3M9dE8v6mdAXeIF99JPC8Pto/SMzyR2iLE8pvDkhJLsRDh6TdbEnKn/cEoe1tcU6aUtPaOJ8kqPvTSIaJTJAAEQxKrzqhGO3Gf0GlUXHZGNf5QlH+82pyw7eHOMfpSyE6+F9OLMlhUO1lweaRLatrR/mTxnpHtBx54AIBf/epXfPOb3/yXDUSWZR555BGWL1+eYF+9ejWSJLFkyRK+/vWvo9UevxHDsRwvrJ/m40t29r++kjzNx4OPeq4DoUiCk3oEbyBCZmbqVTU5FMB3eAvDrz+E5B3FNGMxGYsvROcsT7l9sKePka3Pk3XOV1DCQUSdAffW57FnF2FN8fvd3hD+QHInm3BEwh9Ktnv8kZQOhDcQQZGSf5scDiIoUspj3zcWTNKJjn1IQo4Ek8wqOTLlHKbSUvYGUo81EIwiiAI1ZQ6uPqcGXzCKw6rHbtMz1jue/AFixyOaovufpChJxZEQ02T2pTiu3mAk7jAdjS8QwRgd5zzTTk5ZfSqBiEKOyo3m1Z8wuPDbSdtHJXnKrqShiMRlZ1Sxt3mYf7x2GKfDxOqzZyBFZR5/vYmGGblYjFpUKoHdTcMoKKx58RBXn1ODPxidyNEXeH1HD7oUkVyPP4KcwikMhKIp5QAlOdaBMZUfGY5K/HntPq4/r46IJKPXqnh3Xx/jvkhK/epQRKK+MotMq57fPxFbTTjv1HJKnBY6+pNTDPzBKIIgcPmZ1Ty3sY2hUT/zpuey8rRKoilOPkWJHdtUaV1RSSaCwKPrG3lzRzcOW6yAdVqxLeVY/cEIDkfq8zV6eDjlWA0GLRmW5Gh4+7CPDLOW1Z+fgccXwWLSoNeqCIWiCUo48d+B8IHud9+4fC49Q95YwW62GZs5tYzkR8VHfQ//JHDC1TJHHG2Xy4Xfn/h2VlRU9E8P5Mc//jFGo5Err7wybnvjjTfIy8vD6/XyP//zP9x9993v2+FP52x/8kjngH12+LjM9RkLSjjUnhj5W1SXN+XYDO5mhp65iyN6wL4DGxFEFdpTryEiJTttWk0mgiAwtPZXcZs600lYn4U3xT4EQeD8U8v567r9cZsoCpTnW7GYtEkpB0tmF2A2aBGERBWE808tR+PwIWh0KJHJiJ1l5nLCxhw8KfadZdVTU2bnQNtI3Oaw6TFlWJHqT8Oz65XJcWp0GO1ZUx6nU2bl885RxV0Ay+YVMuaNJGksf25RCVJE4rY/bUpQF5lbncPqs6txOoz0uyafPeUFNpxZRuZU57CzcTISajNrsZvVfG5hCWvfaonbNWqRPIeBMxYU09ydmJoxe1o2igJr30zsaLiioRhRHUHe8xK2Xc9xJMasOemyWH64URPX2QZYUOPEbtUmpWAU5pjJyzbxzNut8ePaN+zjvucO8IdbTuP0+UUJEWOVKODxh1g6v4jb/vROwpi+fdV81CqRtW8lRm0/t6gEs0GLVi0SPsq5PmNhMfnZJjIsOsY8k+fArMosch0GphVmJBRh5mQaKMw2UV+ZxS8fmazTMujUnHtKOeefWs49a/fF7aIoUFVso73Pwz+O0lp/7JXDfOULM6kttyMKJLzAfW5RCYFQlPueOxA/B7YeHAAUTq7PIyfTwOBREfqaMjs5mXrqKxzsbZmUEcy06CjIMvHI+kbe2BGTgBwaC3D73zbz86+ewucWlXLP2r3x7QUBZlZmT3m+ljgtSeo2FywpRwpHU34m06zjN4/uxO2dXKVx2PR8//qFLK7PSzj3rSYt2Tb9B77fZRpi7lo4EGYo8PGR2vu43MM/aj60du1vv/02V155JXfddRcPPPBA/M+DDz7I1772tRMe0P3338+5556Lw+GI2+68805aWlr43e9+h1o96f9bLLG3Ja1Wi9Fo5IUXXuCiiy464X1BWmf7k0hat/Ozw8dlrjOtOkryrAyNBcjONHDdeTVU5FmZSkhA6NtLoDWxkC/i6sVadyoR0ZC0vSSoMZfVoVKpkYMejNMXYVm6mpBm6pqXXLuRwlwLg6MBSvOs/OfKmRQ4DNgsWsoLbAyNxjr+XXNODVUFVqwGDbOrcxh2BzBo1Vx51nRmltlpGlNTPmsWsm8cQRSwzPkcYuUihiMm9JrkFwOVAHOrMrm0XuCCaWEuWpjN0oXTMMteIoNt6AuqkYNedM5yrHM/hxINI1kLUv4Gi0nFtGIHQ2MBMsw6rjxrOlVFFrItemorshgZD6LXqll5WgXzqnPo6Pew8RjnvM/lY/nsAhbW5yNJMqGwzOL6PC5ZPg1/IMrsqmx0WhUeX4T6SgfXnleLWasm22HCYTNMaF1bueGCOkqyjRgMGkryrAyPBci1m7juvFpKcs00d49xyelV1E5oWF+4pIKR8QAFxXkYSuqRvKOo1Gp0DSvRTluMyWhkZlUuvmAEWVJYPr+IsxaVYNWpmVGZBUoszWBBbS6rzqhGBLoGPVxzbi01ZXZOn19EfYUDjy9MbXkWJ9XnMaPUzsmz8rlwaQWF2Sa8gQhL5xVRlm9lbnUOK5dWEJYkZpRkMq3YzvBYAJNBw6UrqplRmklhloEZZVm4vSFUKpFzTi7lpJkFeD1BTplTSDAsEY3KLJ1byLmnluPxRVhQ60QUYhHcudNzuPLsGagEgawMI9kZBtzeEFXFmVx3Xi3hcIRpBRkU5VoYGA1Q4rTynxfNpCzPwppXmhMUVQCissw5i0upKrEz4g6i16m5eFklMyuz6B3y8s7e/qS5PmNBMSfV5SMrCoGQxPL5RVy8rBKjRkV1qR2NRsTrjzC7Kptrz63FpFHxh7X7kp7zM0rt1JTaKcy1MDQWwOkwccP59ZQ7zVPqhZt0auZOz2XEE0SjFll1RhXzqrJRTSH9MTga4KXNifnUgVCUk+rzaJieg8moZdQTYk5VNl+6oC5W4Pwp4+NyD/+oeS+d7RNWI1mxYgXXX389K1euRK//4EVDy5cv549//CNVVVUA/PKXv2Tnzp3cc889GAyTDym3241Op0Ov1xONRvne976HzWbju9/97vvaXzqy/ckj/ab82eHjNtcSsfxU4T1uGbrebQw/+7sEm8aeR+YXbiUgTF3QLQqgUkJIohZZfm/tLkGAqELsYT9xq9aHhhh7/i6oPg1BlpCb3ybz8zcR1E4EMCaiiKqJj+zvHOP/Ht7B9y6fQYFNxUObXDR2jvKD6xdhTOFsiyKoW9/GtX6yENLacC6mWaczuOZ2UCT0RTVI3lGCXQfJvuAbBHNnpxz/gCfEA88d4OLTqxAEWLO+kavOqcVp08V3FpFl9CqQJGgb8PLjvyWqO9jMWn5wwyJe29bNkjn56HUq3N4wuw4Pc8rMPKx6NRoNeEIKBp2IEpmcPKNRS83gFwAAIABJREFUZNQno1MLICmIGoE/PLmfsjwzS+cVoxLhrke3sWx+GY5MI398cg99w7G24xlmHTetmk1FgZVoSEItyrFUGlGLLCtEZIW1b7dSlm8jz2Fiw65uZlXlMKM4g1d29JBr11GUY6Vn2EPPYIDTZhdwqGuM36zZGX8mLZ1bwHknl+ENRvnZ/VsJTuSMzyjN5MaVM2nvH+dvzx6IR6SdDiOrz5pBXakdRZBx+yPIcqy7p3x02YAIIQlsBhXBoMSoP8KrW7swGTSUFVh5Z08vdZXZzK50oBEE1HoBr1/GZBSQghCSZL7zx3coz7eyYkEJ/S4ff3/+IN+7poEKpyV+Xh65VtRqkUdebeaFd9oT5u6ck8u4bFlFLF1FhKgMBjVEo9DS70kotISYTOMd/7EoVkQoQFRW0KhElKOe4SoVBCIKWrUAMoQlme//ZXNCJBzgO1fNZ1q+FVGEiAwTadwnhiAgKQpq4fh62UOeEN/+/caEbUQBfv7VU7CbYytNkRS/4dPEx+0e/lHxT6uRHGF8fJxVq1ZNqd/6Xtx+++2sX7+e4eFhrr32WjIyMvj1r3/Nn/70J0pLS1m1ahUAhYWF3H333bS2tvL9738fQRCIRqPMmTOHm2666QPtO02aNGlOBBWcUKdoMbsUrbOccP9E2oEgknnaFcd1tCHmBMvo4ASLmxTlyJhigxJFgeChDURcvZh9fSDLeAe7CbdsRag5G0VRQIk5FUccgOJcCzNKM7njkYOxoQrwrcvnYtalbvyhD/Qz+PqDCbbxrc9iqF6AfenlDD17N76DmwDQFVajsmalHLtGo2LbgQEOtI/yo79OysNu2NPDFSuqCIWiIMtoiDnaAPlZRuZNz0kokLvh/DoiEZlnN7aybsNkmodaJXJSfaxwLBIBvSgkONoAfr+MTiBWcQrIssAZC4v585N7mF7mIBCMyQDmOkzsb3PFHW2AMW+IDbt6KXNOrLDqdSiKQGBiCX9wLMALxxTsvbN/gFtWz+fR9Y0JqQiiKNAwI5e/rdufEPx5c0cPJ9Xn89QbzXFHG2KFf30TRY1Hp370u/z0uXxMK7Ty8rZunn6zhagkc9LMfC46rZKMiVQDvVaNFoVgMPado94Qz7/TTq7dyOGuMdp63Ww7NMQP/2MxWSYNRAUyTBpkCSSiiILIyqUV3PfcAXY0xlqw15TZMepjkdnJ83Lyty+sc7Jhd088rcZq0tJQM9m2XJBjet7RiZT5giwTs6dlsasplictCHDD+bXoNWLs3FVALQhJTqokgVYU4teQTi1ywwV1CQoztWUOCrNNE3MOWpUIKFPm0yehKKh478Y0WWYdK5dW8uQbk8WQl66oItM8GeHUaUQU+cQb0BuNWgRBwedLzjf/tKLVqhBUEA1PXfPwSeeEne0vfOELPPHEE1x88cUfaEe33nort956a5K9sbExxdYwZ84c1q1b94H2lSZNmjT/SgKaLDI+/zXkoXaUkB+1o4CQreyEnegPiigKoNKQfe5X8O59E0QV2Rf8P0KuPlQqgWg0+UFl0am4ceVMOgY8+AIR8rNMExriqfehBLwJ+d1HkN3DjI97cVz8XaSxPgSdCcWcRXhsCAyFSdtrtSra+5ILGzv6PKjVAqHkXaBTidxwbg1nLSrB44/gtBvJzdDRPuhLcnyikowvEDmuznISkozdquOLZ8/gqddb0OnU3LhyJnabjq4Bb9LmHf0eBAS6RgK8+lIjw2MBlswuYHqpPUlNBWKKMW5fOKmjpSwr+EPRJKULALc3nNTSHmLFn83d7iR7W6+b0nxrQn70ht295NqNXHhKKe2DPl7b1sXAiJ+TZ+ZTW2bH4wtzxVnTGRzx0zngYdm8QiRZwRcIg6Kw7eAgu5uHmF6SyeL6PAwaFa9u7eLKs2YQjkioVSL9Iz6GRgPkZSSvbKtUIi3do3z7qga6Bj0IgkBhtplDnS6m5VtTFmjq1SL/cUEd3UNevIEoeQ4juTb9+077VBSocFr4yX+eTN+wD6NeTWG2CYNGRVRWaOkb58V3O7AYNZy1qJT8zOQ0rw+KIMCS2fkUOy0MT6SgleVaEIgpo+xsHmbD7l6ml2SyZHYBmcdJI/FLCq09bl7d2olWo+LMhSWU5pqn0Cv69DAwod7T1DXGnKoc5k3PwWH69KXbHNfZ/uIXvxiPZCuKwgMPPMCf//xnsrISIxkPPfTQv26EadKkSfMxJKC2Q15MJzsM/3JHG2LSevrcYgaf+uXkOFp2kHPxzQRSODRHsOhU1BWfWE8EwZqF2ppNdHxo0qbWosp08nq7mTVrj0jFuTEZ/Pz0+lmkWjz1+cLMPSZKDdAwI5dQaOqonU4tUuFMVDfIsuqT2q9nWHTYLXqisky3K0C/y0+GWUtRjhlTihbhR+js9/LrRyfz7bcdHODWaxcwe1oWb+/qSdh2QW0ug+4AP7lvS1wW8EDbCKvPnkHDjOykIs/yAhs5mQasJm2CM242aLAaNZQX2GjtmXSgRSGWGtJQk8sb27sT9m02alhU5+RwZ2Lh7rzpuUnHFGDz/n6WzCngp/dvjcsCHmgb4ZLTp7G4Po9HXz4cz6lu7BhlQW1MbvBPT+1jT/Nw3L6jcYj/vmIuNrOWB144GP9+QYAz5qcWQ4hEohRkW/neHzcl2L99dUNsBWMK9GqRyrzUGtbvBwHIserIsSaqdBzudvOLhyeLPN/Z28/tX15M7hQ62++XiKTwu8f3JBTc1pbbuemSWax9u5VXtsaulcaOUTbu7uUH1y/EOMW52drtTihI3X5wgO9du5CynE9vn5HxUJTfrtlFnyu2otTYMUpL9xhfOr8W9aesQ+Zxne1LLrnkuP9OkyZNmjT/PrRaNZ49byTZfQc2ol9eTzh8fL3vE8EvZuA49yuMvPQXIq4eVBY7jjOvZ0STy9pNTQnb+gIROkYkaqdIVZxRYufzJ5WyfkILe/m8WFFgdGr/KyVWg4Zbr21gX6sLSQaVGGu+YtaLvLV3gL8+M6naclJ9HleeWZ2y+BOVyAub2hNMsqywo3GQ804p44Il5Ty3sR1Zllkyp4CG6bkc6BjhW6vmYjZqCEUk7FY9v3pwJw01udx85Tz++ORexrwhKgps3HhRPTlWDd9YNYc/PbWXgRE/uXYjX7qwDo1K4LrzavnrM/to6x3HZtZyzTm1GHUi555UhtsbYmfjEAadmktXTKMw20R7n4dTZxewcU8voiCwfH4R4YiE025M+mnFuRZGPMEE/W2INbapLLQlFS9u2T/A2YtL4472EboGPPQO+bj2nBrueXofhzpGsRg1fOmCerKncFI1GnWSXjfAWzu6qb+onlAoypg/QiQqk2nR/VscKQV46s2WBJskK+xtceGcV8gJlqsdl0F3IEnZZn/rCMPjoYRGQQDD7iC9Lj+VeckyeaJO4MV32xNsshJ7EawpmR5PXfq00T3oizvaR9h6cIDzl5RT8CGuQHwcOK6zvXLlyn/XONKkSZMmzQkgqJIjY4JK/aGqLvnNZWSu/DZCcAxFZyGkyUAOybE0lmMQhanLzjIMai5eVs7SOYUoKORk6uB9OtoACgq+QJR1b7fhDUTIMOuoLrYz4ovy0IuHErbdtLePZfOLqMhN8QYgxFpgH4taJRIOy2RYdHzz8jkIwMCoj4gkM70kk017+nn6rWaikkJpnpUbL6kHQaC6wModX15MMBzFYtSgFgRkWQRF4Msr6+PfLwMGjQq/L8zFy6Zh0KsRBGjpHqOm2IZGJfLVlfUMe0Jo1SqyLFoEQWBfyzAef4SLl09DURQ27+8HQWHJ7EKKci10TcgLmg0aViwoZng0hQ66KKSstRIFEKeowRJFgQyjhv9aNYdxfwSdVsSkVU/poCoKqFMdV7VIRJJ59t0O1r7Viiwr1Jbb+dL5dVj1J5zF+sEQYuktxxI7hz+ci2Wq4ycIMXWKYy/KKbdXVFOclwKK8untXpPqfhI/dp8yTvhsP7ZV+xG0Wi1Op5PZs2e/74YzadKkSZPmxAmFophnnY7/8DbiDoMgYqo5BX+q1uv/BAHRAsaJKJwMJp2Ky1ZUcd9zB9CoRaKSTIZZR+F7LXNLkG3R/lOqBW5/hP97eAehiERBlpGeYT+/eGg7t167MKGw8AipmhQBEJX5/MllHGgbQa0SkJWYAzSnKpt9bS7uf+5grHmMAFFJ4eJllSyodfLE601k2aA838GWgy6eerOZ/1xZixIFg0bEoJl89rm8IX7x8Db8wSj/fflMfvHIHgw6NT/+j8VUFlpxeUKM+QJo1VpOrc9DM+EQikCOJZYGcSTH+azFpfz0/q0MunxEgFAwynXn1qIWBVaeVoEISIqMQasFAQpyzFhNWoKRMDkZZroHvVx4WgU5mYYE5xzg1NkF5NoNLKpz8u6+SQm+acUZ5DlikXOVAJmmI0WRUzuo4XCU5fOLeWdvX0Lq6WlzC2nsGuPJN1pQi6DViuxvHeHlrZ1cvKTiQ4kuT4WgwBeWVfDT+7fFbVq1SH2540N7Mc2y6Zk1LYvdTZOrAwtqcsm26jn35DKefrs1fq0UZJvJc6SO1ipRibMXl7G32YVeKxKVAUVh7vRcgsEP8Hb6CaEw20RZnjWhE+upswtwpqgL+KRzwtJ/q1evZufOnWRlZeF0Ounv72d4eJi6ujp6emJ5br///e+pr69/j2/695KW/vvkkZYS+uzwWZrrsKTQNeylb9hHrt1IUbYZ/fHawQsyWm8v0cF2BK0BMaeMkMaORpTQuJrxHdoEogrT9EWEMyuJylN/VyjgpaXXw5gvTJnTTH62FUXQMBqI0NnvZdgdiBVOZluw6ET8EZmOAQ+9wz6ybQZK8izY9Gr8UYXuQS8dfeNYzTG97+wJ5YVOl5/23nG0WhXl+VZyLDq0WhBHOokOtoKioM4pR8gpJRCY+p484g/T3udhzBOiKNdCQY6ZAZcPvVbNsDvAwIifPIcJm1mLosB9zx2g7agOkzqNih99eTEOs4b2QR8dfeNYjFpK86xkmbVEgZ4hPy09Y2jUIhWFGVTmm7nn6QM4s0xEJQVFUdBr1extGeJL59XiDUm09brxB6MUOy3k2vRElFhaQme/h5HxIIXZZoqdMQfXkaGnd8hHvyuWRlKQbWJoNEhhjomeIR/dg14yLDFtd4dRgwJ0DPlo7xvHqFdTlh87rnqjSEuPj9YeNypRpKzASpFDjyRBvztEa4+bSFSmLN9KgdPIgaZRnFkm2vvG8fjDFDut5Nn1dA74cGQY2Ns8THP3GLOmZVNdlEE4KqFSqzjYNsL+VhfTijKYWZlFlllLQJLpHvLT1T+OzaKj1GmNFa4JMDAWpK1vHINWTVm+NSa/qIO2vsm0isrCDCryDDy/uZf8LDOjniDhiESew8TbO7u5+uwZuANROvrHcXtDFDutFOYY0Ysio8EoXf0ehsYC5GWZyM8ykaFXE4zIdAx66RnykpVhoMxpwXKcCLmkKHQP+3l7dy8Wo4bFdXnk2vQIgkLfWIiWHjeyrFBRaKMg04gsywx5w/G5Ls2zUpxtQgRGfBHa+8cZ84QozDFT7LSgFwW8IYl9rS72tbmYWZFFbZkdk1aFJyTROeihe8CLw6aPn3+pUASB7uFxENS09bpRq0TK8q34/UGqCjOnVOgY9Ydp6fXg8YcpO2qs/07+2Xv4sDfMrqYhmrvdzKxwUFNq/0Tqkb+X9N8JO9s//OEPKSsr46qrrorbHnzwQVpbW7ntttv4wx/+wJtvvsmaNWv++VF/iKSd7U8enyUH7LPOZ2WuFWDdpnbWvjUpXbeioYhLl1einmLJVD/axNDjP4WJZWSVNZvMi76DKuRm8PGfoS+uQZEkQr1N5Fx8C35zacrviQS93LlmP619k7mR37p4BtPKnPztuQNsOaob5cqlFZx3cgnrNnYk5LsuqMnl2nNr2Nsywu+f2B23lzgtfP3SOYx6gvzs/q1xFY5Mi45brmqghF6GnrgTJRzTQBY0OrK+cAtBa+q29u5glLsf352gwnHDBXXMmebg0VeaEwoYP39SKeefUsqQO8w/Xm1kT7OLwhwzqz8/g+kFZna2jCUUQhZkm7lp1Ry8/jA/uW9rvJ221aTlu1c34PaFueuxXfEW8xq1yE2XzaGy0MIP/rIl3r1SEOBbX5xLaa6FPzy1jwNtkx0Nrzx7OqfNzePRl1t4Zctks5Pl84u45PQK3t03yP3PHYjbp5dkctNF9bQO+fjFQ9vjEddcu5FvfXEugVCUn/xtS7wjpEmv5ttXN6ASBe58YFu8c6FaJfCdaxZgMWr47ZpddB+lbvL/Lp1NRaGN+547QHPXGFkZBnqHfJy/pJzzTyphzest7GsZZkVDMRv39JJp1XPjyjo27O5P6L5YUWDjqxfPYtwX4kf3bok/V7Nsem69ZgHjwQg/+duW+EqDQafmO1c3IIoCv3x4ByPjsRQXURS4+cp55NqN/HbNroSo5o0XxTpOPvRiI+/um2xudP6Sci44pZQX3u3i8dcm6wbmTc/h+nNrjvvSCrF0EkVR4mPuGwtyx31b4vntOo2K7127AJ1WxS8e2s7QhGa3KMD/XDmfIoeR3z65h8Odk/nZ155bw+lzCwmHowgCiKKILMsoCohaeHlLDw+9OKm2Vlfh4Ibza7Hqkl8ORFGgpd/DT+/fFj8vzQYNN6+eR5HDmDISPxaI8P89tCMuVykI8M3L5zKzNGNKpaF/BR/GPVylAo1GQzD4yZU7fC9n+4Rfgp599tmEVuoAl19+OevWrUMQBG644Qaam5un+HSaNGnSfHYZ9YV5+u3EVuCvbO3CNZ5C/w7QCBHcbz8ad7QBpPEhlKEWfPveRImECLTsJNi+ByUcwN/4LuopHI6OAV+Cow1w74utePyhBEcb4Jm3W+kfDfHMMWPdcmCAniEfD7+UmB/d0e9BEBSeeqM5Qe5u1BNicNSPv/GduKMNoERC+Pe/ic2WqBpxhO5Bb5Lc3SPrGxkaCyUphbz4TjtD7hC3/+1dKosyuGX1fM5aVMJdj+7EHZSSxtoz5MXtCfLcxra4QwMxub7dTUP0DHnjjjZAJCrz7r4+2vu9CW3iFQXWvHyY7iFfgqMN8PirTbjGIgmONjAhxRfksVcOc9XnZ/Czr5zMrdctoH3Ag6wWWfPy4QSHamAktkrw8uaOhNbrvmCUbQcHGPeHE1qERyWFdW+10O/yJzjaAA+vP0S/y8/OxiE8/ghtveOEIhJPvdFCtyvA8xvbaO/z8Jdn9nOwfZRNe/oYGgvxyPrE49fS46Z70MujLx9OCGANu4Nk2HS8taMnIaUnEIqyYXcP4YgUd7QhVpC69s0WPL5wgqMN8PBLhxhw+RMcbYgVefaPBln7ZqKPsf3QID3DiYWfqZAkOT5mtVpk8/7+hELSUETijZ2dtPa44442xIoU17xyGFEtJjjaELP3j8W2VZTYPo7M4eBImMdfSxzrvpZEHfejEVQCL73bkXBeegMR9ra4EKaoiWjr8yR8n6LEjp8/8skLLkoSn2hH+0Q44Zxth8PBa6+9xooVK+K2N954A7s9Jn0VCoUSWq2nSZMmTZoYobCUMjqVKt8YQJCjSL7RJLsU8CD5k7WrJY8LnUpMqWcciCTbxv3hlNtKskIwHE3SiT4y1vEUbZllmYTGKwn/53El2aRx15S5uqmOhz8YIRhOzluVFQiGooTCMk++nqg6EY0qCc5ofN+ywmiKsY56QuhSSLINjQZSLuGPeUIpxxQMS4Sjqec0EIry/esX8tLmDp58vZmCbDO3XDmfSFRJqb/tC0aQUsyRyx3CkGKso55QXJ4wcazhlPaoJBOKSKRa+D2iYZ78+6IJjvMR9Fo1rvFAkt01Hmt7njQmb4hoih17/WECoeSxyrJCMCQRTTEXgeNIC6ZCFAWG3cljDYVk/CkcvjFvKOGF5wj+YJTIFHKb4Yic8pin+m0AskTK83LEHUSlImWkOpjid7u9E9d1iiLqNB8tJxzZvvXWW7nllltYtWoV3/zmN1m1ahU333wzt912GwC7d+9m9erV/7KBpkmTJs0nFYdVR2FO4hKj3aonJyN1wVRUZcQ853PHWAXUuRWYqhcmbW+cvnhKPWOHw5akFHHq7HwcGTE96KMpL7CRazdRXmBLsFtNWpwOI6fOzk+wq1UCgqCwLIX+skGrxjB9cfJYa05lfDy1lFl+tgntMc5Zw4xcch1G7NbEoqmCbDM5DgMzSjMTv1+vJtuq47R5iY12RFHAbNBw2tyCpP3OqspmWlFmkn3p3ELMeg3HiiYsm19IQY4ZwzEpAbMqs8i06Mg9RpovJ9NAqdPCY6828cb2bryBCI2do/zs71vRawSWz0s8fqIApXlWZk/P5VgW1uUSCCd7X6fNK8TpMKI6ZrCnzY3ZTcc0/6kuziTHpqcoN1GKLqZfrmFRXV6CXaMWyc82c/bi0qR9d3WPccqs5ON6ysx8IilePpbNK8JsUKM+Ri3kpJn55GcZyTAnrnyUOC3k2I1MK0zUijcbNBS8Tx3qcFhi8TG/DWJSkqX5Vo7N6lo2r5BMmw6dJtGBnTc9h2xr6hWa7Ew9dRWOBJtBpyY/O/VYBWSWzUtuDNVQk0skxcsyQFGuJUnNY9n8QqyfwoYwnwZOOGcbYGRkhLfeeovBwUFycnJYunQpmZnJN6iPE+mc7U8en5U83s8yWtmPMN6PWi0QNWYTEqfOdfu0IMshzP4+pPFhVGY7PqMTQZ2sl3wEreQlengD3h0vIBqt2JZcQSSrCo3kQxzpJDLSCwJoHAXIGSWERBPhaISuIT/hqExhthGLXsfuNheyLPDCO22xroKz8rGZdCyqc+INRPnHq4209IwzqzKLC5ZUoCgyB9pHaewYZV+ri7J8K4vq8sh3mLCYNLyytYtNe3rJyTSy6sxqpheaGfZEeWdfP+s3d2DSa7jk9GnMKM1EG/Wi6t6JZ/MzKLKMteEc5OL5yNrUjUy0WpHDPR4eXd9I77CPRXV5nLmwmCyzlkFvmI6+cUbHQzgy9JQ6LThMWly+MM+83caOxkFKnBZWnVFNudPAgDtKz6CX/hEfBp2aEqeFIoeRMb/EtsYBXtjUjk6j4gvLK6kvsxMIyzT1jPH4q01EojLnn1pOfWUWVpOGpi43a15uZNQT4rS5hSyZXUhUihKMyDz6ciNdA14aZuRw9kllaCWZgCDw5OtNHGwfpbokk4uXVQIC3/3DxqTf/LVLZlHqtLBhTx+vb+/CZtax6oxqKvPNDI+Haewc49kNrahVIitPq6Aox0KGVcuYJ4LLHSAalcnONGA2qLHpNTT3e3hkfSMud5BTZuWzbF4RHl+IPpefjXt66ej3MLMyi8rCDOrL7ag1IqPjIVzuEBkWHZkWHUadSDAs0zXoZXDUj0mvocRpwWpUoRLVbNzXx/Mb27GYNFzxuenUldnZ3TLMuC/Ck683gwAXnVaJ1aSlpiSDva2jPPbqYbz+CGcsKGZRXR5ZFjVNfT4eXd/IwIiPxfV5rFhQTJZJS+9YkH+8cpjmHjf1FQ4uXFpBjkXHsDfM02+1sqtpiLJ8K6tWVFPoiHWdHA9EGRwLYNRpyLbpUE84omPBKL1DXjRqFQVZJowakbAk4/KEGRoLoADZGQYyTVoMGpGD3W7WvHwYty/E8nlFnDQrn1yrjr7RAKOeEOO+CNkZBjKsGmw6DTKxgtFhd4DsDAM5Nj0i4PJHYkWeowEsZg0lTivFWXoiU2RL+MMSmw8O8tzGNrQakS8sm8b/z955BsZV3un+d870XjQzGvXerGZZkjs2YJoxpvdOCCRks5tN22RJIeXmkmQ3e5dsdpMNoQVIKKbFgGk23cY2rrhLtnodlZGmt3Puh5FHGo9sIAnZhNXzyXo1ntPeo/M///cp9SV21AqBSEJmeDxEXJJw2/ToVCKIpO6VsckwK5vyWdWS/8lbKp6Aued1En82geTfKuaK7b89zN28n25oYuNMvvQLogPJpX+lPRfb2q8Q1jg+5H/+7UKplBCPbWH05fuSPGxBxHbGdYjlK4hy8k6UKAooE35kQUmMZBdNGx3F+/z/IzaSTBxUZZdgOf/vGYkZuPf5g+w7NgYkO+f/dF0TvnCCd/b0E4nGsZu1HOoa45xFxcwrtmFUK5AAfySBWacCScIbjPH1X7yTdOkosNLv8bOnzcMPb19Crk2HUiky6o+h04ioZ7QBVSoF3kAMpUJEM9UEVIRHkfr3oSpqAlkm3rsPsiuRdM5Tnq8YySV3i0mBPNUE33rIw73PfZC06xMF/uGKRlqrs9jZNs7OQ0PUlzvp9/gRgBXNBYxNhPjpIztSdIjT5udx6cpiQjF44rUjLG3IIRaT2HVkmCtXVRKXJH730iGcNgMqpUBH/yQ3rZmHTqPkg/YhWmpyiCdkNAoJz2QcUYD3DwyhUivIyTKw+8gwrfPclOWZ2d02SkuNE38wjkGrZNvBIaqL7Xz3v7dk0B6+fl0zJqOankEvNcVOBAFe297B6QuK6R32c6hjlNNb8pFleHVbF83V2bizDNz3h30c7ExSjRxWLV+5phmTTsnL27s5rSEXhULkwDEPRTlWZGS+/5utzK90kuMwcqRrnM6BSf7tS8s50jPBL5/aS0KSEQS4YXUNS2qz2d0+ykMvHEhRe85sKWBlUx56rZJfPv0BlQVWgpE40ZjEZ9fOo8cT4LFXDlHgNiPL0Dvs4+qzKylzm4jHJUIJmXhCJsuoJjqDghMFwpEEWUYVsZiEjMzmA8PYTRqyLDp6hn1o1Urqi23JZ7kgEIjE0akVqaX5EwWP5yws5NKVpYz5Y/zsdzsYnUhSX+aV2PnM2lqQZf5z3d4UZzzHYeDLVzdh0ChY/+5RljYUoFKKbNnbx/LGfEx6JS9s6eL5dzqApKDyq9ctoDzXxLv7hnhg/f7UvLz94joWVztpH/Dxk4d3pKgmV59dyaqmvIyVh/T7XSQQjSMKAjqVgCRBIJLgv56gbl7fAAAgAElEQVTZm7rW2XYd/3R9C2qFyFNvtlPgNmE1aNjywQAXrigj3/6XDYOZe14n8WHF9ilfgW699Vbuu+8+ID26/UTMxbXPYQ5z+CgQBIj37CU6cBSlLQdBFImN9hE+/A7i/Es+tS/GWl8fg689NC14lCXGX38Ud04ZUUPxSf+fJMlEhemlZ1EUiLS9lyq0AWJDHcR79nI4XpsqtAHGJsOsf7eT05vzeXNnehT4i5s7qC1N6m1EwKyZJoZaDcnO9DNvHiWekBgeC7K0PjeVHhiPS9gNqjR3B4BYLIFBPU0LEEWB8NEdhN/9HfBAalyz8FL0LRcTjydDcgRBIJFIXypXASrNdKE9Fohy7x/2pfjFkiTzy6c/IPdzS7j3uX1MBqK8vnNaQLmqOZ9HNhxK4x2/vbuPxXVudh4aZvcRD7uPTMfRL6hyEY1JU+dv+hy+s6ePxbVuHnzhMOvf6cKkV9M95KO6yMblZ1bw7AlC0n3HxvjWza3cv34/v352+piUCoGff3UlV55VwUMvTEegVxfZyHEYuP/5/ew7OgpM/66iwEHHwAQvb+vm5RmCy0K3hUA4niq+AEa8YV7Z2sm5i4t5/u0Onn+7I/W7klwzt11cR0O5k12HPew6nDzuC08rRZIE7n1uX4qjL8vwyIaD1Jdlsf6tY2kc+k3v97C43s3Lb3RxrG8iLXb+3IUF7Osc43C3l8MzhIQHOsYocSVpKjqFAAohrdAGUANqjSJFlxjzx1LF63HoNEp+fMfSpM2fLGOYwVmPyzL3rd+fJnh8ZVs3i+vdvLGzj7HJMIXZJiKxBAc6xugd9uMZD6WJMwdGAryzp5+FNdm89F4vL703fb/0jgS57PTyVKENSUHlvc/u45s3tvDg8wfQapS4swwMjAS47w/7Kc9fxi/W7U3jdD/26hEayhyn9JCWJAmzLnlvHddUHOgaT7vWQ2MhXt/Rw7ySLN7YmS4a9gVjfPXapo8uxpvDXwynvCYXX3xx6t9zUe1zmMMc/lSIokh8rB/7qpuIDnUgJ+KY5p9FuP8ISkFC4tOXHAaQCEwgx0/gKcsSCf84nKLYPhGiKBDq3pcxLgd9dI/7M8bbeydoqcik+nUP+lBIcZKlzolflow8txg07Gn3sLwhl/mVDlSiQDQhc7R/ki37BijMNtFc7cJ2Ek9clUpBaOBwxrgwcBCF4hIGx6O8t3+QsckQyxpyKc42ojhJQ2ciEM14EYvEEnj9ESYDmfzvUCxBx8BExviEP0rbCfHaAGOTETzeTNFcW4+XZQ253LRmHoOjASb8EU6bn8ehzjHGZxEKjk2G8Ydiaa4SkHQLGR4LY9Kr+eaNLfQO+7GZtGRn6YnGEmk+4ccx4g3R2Z95DG3d4xTNEvnd3jvBObMkI3YNTDI4EsRh1XLdedUEwzGMOjX7jo4w5gtnCPkkOSn+6x/NdM4Y84Y51JUp3JUQaOvOPK9t3V5Uy0uIRD66F53XH8kQbYYicfyh2Kye2pGYlFb4p/Z1IikYvXnNPA53j6PTKFmzrARRICNiHeBw9zitNa5ZjmF8VuGuxxsiGImzZlkJCoVIz5CPpkon4WgCXyA6q2h43B85abGdkGQ6hgO8s6cPrVrB0oZcSrINHO3L3Nd9x8bIcWR2UY/1TxCKJDBp5gSSf204ZbG9du3a1L/notvnMIc5/KlIJCT0pY0MP/2zpAQfCBzcgvOifyQiify5YpT/2qAwZyFqjUjh6YJYUKpRmj8edSaRkNBWLiLcczBtXDQ5qDBYMj7fVOlkttTyumIzZiFIdJZiWwaefesYm97vAeC9fYNs/sDK169t4r0DQzw4wyf6xS2dfP+zizDN4h0MIBbOh2M70r+/qIUhb5i7fvNeilLxxs4+vnJNE/XFtlldWyyGpEAtMiMl06RX4bTqyLbrGRqbtn8TheTvGiuc7Dg0nPY9LpuOpkon3YPpy97uLD0umy5jBaClOhulQmTdprZUl/y9fYPceH4NLrueExO585xGLEYNeq0yrdOq0yixmtTcv34/3UM+HFYtXn+YeBz+/csraSx3sPmDdLu7HIeBaFxib3u6o0ttaRa6WYrO+ZXODCEnQF2ZA6dNz+vr9iBJMiqlSCwu4bTqsJs1mA3qtBcWlVLEbtZQkW+h7QQbRneWnoXzsnnpva60cYUoM7/Syd72kbTx+ZVOYrGP5xaSZdam9vE4rEYN1pMEwujUCuZXOth9JH3b7iwdrfOy+cWT077waqXInTctpL48i637B9M+v6DKxWzmIk1VLgy6zPNd6DZhMahp7/VyoCO5GvL+wSEaK5ysXlJEjsOQZs0nCEn/+ZPh6KCfH/92e+rnTe/38N1bF1FVZOOVrelWki012ThtmXSRhnIHxrlC+68Siu9973vf+ygflGWZJ598kp/85Cfcf//9XHvttWzfvp09e/ZQUVHxCe/mH49QKPpni2adw18GBoOG4CwWY3P424coCsT2byLafyRtXE7EUJUv+tTeq0MRLdklZYS79yHHIog6I47Vn2NAWYRW/fEWfdVmO3LIS3ykFxAw1K1EVXM6BpMOEDnaP4ksQ02xjcvPKMUtebBbDezvCZKQZPJdem5fZsBuNxITMh/YY/4o9z6X3j0fmwyzoDqbXz+7L61rG44mqC9zpCgmMyEIMJ7QYjSZCBUsIpHfhNFdRDCvmSMDkbSIcIDuIT+nNeYiztLd9kyGKXSbaO/xEo0nY+KvXFWJUadiQbWLfcdGCIbj6DRKbruoHqtJm7J4m/BHUSpE1p5Wgs2iobrQztBYgKGxEKIAq1oLWVKfw9hkGI1akYo0b6xwUppnQaUSEQWBz15Uy+kLClhUm83jrx1h7dIS8lwm9h8bJZ6Qcdp03HFZIyqFTF2Zkw/aR4jEEpgNav7u8kb0ahGbWZeiMaiVCi5fVYnVpKYwx0zvsJ9xXwSlQuCileXku0wUu014/RH6PQEEIek4srQ+B8uUW0dH/wQyycCUtaeVYjGosBg1HOoaR5JkCrJN3HphHU6LhiK3hX3HRohEE2RZtPzdFfPR60SqC7PY3zFKOJrAqFPxuUsa0GtVmI1qnDY9zdUuKgustM7LRq9VMb/CSdegjxFvCFEUuOz0chpKs8iy6pkIRFI+30vqc1jVnI9GqUAQwR+OE4om0KgUp1y/0qoVVBbZ2d3mIRaXsJo0fOWaJhwnKVQFoKLIzsHOMSYDUVRKkZvX1FBVYOW3Lx1ibGJ6BSIhybgdehZUOQmEE6lr3VLj4tzFRYxOhLCZtBzrm0CWoSzfQmtNNkXZZvKcRvZ3jJJIyGTb9XzhskaisQSPv9aWtj9DY0EW17txZxnoGfSl5uWVqyrRaRRkzXIcokLkoZcOMjyW7vFt0qvJdxpRiAI9Qz5kkgV1aZ6V2iIbBr2aw13jSLJMkdvEzWtqMfyFi+2553USgiCg18/+Qggfw2f7nnvuYfPmzdx0003cddddALjdbu6++27OP//8P31P5zCHOXzqIQggS5lLsnIigfAp7WoDhKIJ4goNpqZzpgSSCiSVHn9UIrMffWpElGa0K2/F0HoRCAIJnYOorEAHXHF6CSvm5xJPJMi26VAICrRqK4vDz1JzdgURQYfJ34XTUElYZYdZbH9lWZ71pedEjvZxSPLsFIF4XELW2XjOV8dLW7qQkTmrtZ6ztTYSUubSeOIUsXfRmMRTr7ezqrUQjVpBKBLn968e5mvXLaDIYeA7n1mExxvCrFdT6NIz7I3w+GtHaK52saQuBxnYvDcZG16da+GOyxsZHg2iVIi4rVr0OjUb+roY9Ya56uwqIEkfeG/fALdeWEue08gP79tGKBKnsdzBV69rRkYmz2ngn29uJRxJoNMo0ahFQhEJjUrk/KXFSDIoRFCrFMQk+O2Gg6xsysNi1CBJMhu3d1NVaONXT+9h7fIyLllZhkIUeGtXL3azhnkldqqLbJRPWd5pNQqUooAoCJzVWshpTfkkEhImvQpZBpUgUpZr4cvXLCAeTyCKIlqViFIFBdlGvv2ZRQRCMcwGNaIMoVCC+9fv4+Y18wAQBYF1m9r4uysakCSZo31e2rq9mPQqLjujIskp1ir58lXzGfdFUClFrAYVyMmu8a0XzGPt8lJEhYDTpEEEYgmZzR8M8tgrR4jGk7Z7V59VgfEkqyHIUJ1v4cd3LMUXjGExqNGrxVO+iCcSMssbc5Gk5Au9yahBFgSkWXy5JRlseg03nVfF6iVFyLKMy6pDAXwwGeFAxxiXn1mBIECfJ8Bzbx+lvtzBsloXlYVWAqEYDosOvUqkb2z2QJ1EQuaRDQdZuaAAs0FNIiHx8tZOblhdM/sBCPKsfu7xhMTQeJDBsSBXTs3Loz1e3t3bx7IGN+e25rOgykU4EifbqkWt+EuHtc/ho+IjF9vPPPMMzzzzDHa7nePN8Pz8fHp6ej6pfZvDHObwKUMiIaOrWop/16vMpIwYm1dzkryHTwXKDAFGn/gPEoHpIlNQ6yi/+nuEOLn938kQl5XEde7kDzOe0bIs4rKkd6sDKieWJRdjHOlGigRRFjUTsxaROMn5NuhULKhysvPwtIAwx2HAbtZy8dIcHn+zN+2zRfaTd9LaesZ54d3O1M+vbO0m12mkrtieQRW4/IxyVAph1qLKZtFiM2l47q3p8Jp5JXashmSX0KRWYJryMQ8G41j1Ks5fWsxjr06voOg0SvKnODUaoCBr+ryHQlEWVDl55b1ODnZOCyS/dFUTw95QGnVmT/sIFpOGWy6o5ns/25r2AlKcY+bvr2jkp4/sSKNmGHUqfvyFZSxvyOXlGRQMm0mDxaBizbJS7l+/PzWuUSm4aGU5uw57eOSl9CTHL1zWgFat4N9+vytt/LIzylkxP5cfPrAtbXxJfQ4XLC/hrl+/l7YqkZNl4M5bWinINqfF2he5TdiMGjbvG0zxsH3BGA+9eIDv37YYAKXAtMf0jOulAHKs2jSHip6RQJoodPMHA7iz9Fy4tOikseLylAjyuBDylIU28PjGI+w8gTL03VsXcfaiQo4+PR05rxAFKgusJBISIuA+YUWmLM/C7146xOOvTc+bz6ytxapTEI/LZBnUZM3wpndZdJTnW9M44HWlWeRl6Wmd5+alLZ2p8SyLlnzn7G4VUlxm9ZLiFB0FknSo1ppsZKCt+wCHZ3Dlv3xNE8c5L06jGk5CsZnDXw8+svXf8uXL2bhxIxqNhoULF7Jt2zb8fj9r1qzhzTff/KT384/GnPXf3x7mrIQ+3RCRUE904t/1EsRjGJrOI55VRuIU7/6RuETvSIDJQBR3lh63RZcRPvFRICCjDg4ijfchqHQIWYVEFJlisz83dGOHGF7344xx58VfIexq+FjfJQjgDcboGfYjCAIFLmPKWzcQTdAz7Ccak8h3Gcgyak6a1ngydHkC7DriQQaOdI9T5DbjsGrJtevJ697AEf183myLUGhXsrIwTr4F5IJmEuO9xEd7QaFG6ShEa89m0/udrCqF+Eg3yDJKRwHvDGhYVpdL93CA9r4JItEExW4z+U49SkFgPBSjzxPAH4zizjJQ4NRxbCCA1x9hcCTAgc4xGssdmI0a8p0Giuwiam83iYkhRL2FuK0Iv2AiHE3Q1jvB27v7cNn0nNlawKQvwoJKKx1DYXqH/CgUAoXZJgqcBh7b2IbDqmP3EQ+xhERTpYtBj48cp4lhbwirUU0ikeQ8v7mzl3+8ZgECMn2e5LzMtutxZWnpGw6SZdYwNhlhdCKM3azFYdXi8YbJd+kYHo8yNBrAZFCT69Az4g1SnGemdzBE99AkGrWCsjwLeVkGXt/ZQ3mBjZ5hP6IgUOg2sefwAPluE1kWIz1DPhIJiTyXiWA4QpZFjyQl9ykYjpHrNGIzazjaM8HYZBi7RUsgFMNq0rLn8DDL5udiN6kZHAsz4g1hNWnIcRiQEhJf+493MubGHZc1sLjaQc9ImJ5hHxqVgkK3CfuUSHbYF6V7cDI5L7ONZJu1bNzdQ12piz6Pn2gsQb7LyPaD/axZVEoolqBryE8gFCXXYaTQkXwBmozE6R8JMD4ZwWHVke/Uo1Mq0Mo+hPEeEhMeRL0V0Z5Hf9zCvz66k1WthURjCZQKEY83RNEUBacg28TGbd0YdCrOWlhIW9co5y8pYcgbonPQhzxFwXCZNYiiyKA3TK/HTySaIM9pxO1Uo0wo8Ibj9A778QWi5DgM5GXpUYnJ+do96Gd0yme7INuEVadkIpLAMxZkeDyEyaAi12kga4pm4PElqUE6jZIClwGdSkFcljncM8Fr27tRqxScu6iI4mwjogj9Y2GO9U0gSTJFOWZy7DrUosB4MEb3kJ9QJE6ey0Bhlh5ZTv697BsNMuGPkG3X47ZqEQWBUFyi1xNgxBvCbtZS4DKiV4lIyHR7ggyMJOdlgcuI5SP6dc89r5P4k6z/ZmLFihXcfffd3HnnnUDyzfOee+7hjDPO+NP3cg5zmMP/GkiIhC2laFZ9EZtNx8hIpuvBTEQTMg9tOMR7MwRNX7pqPk1lWR/7RVrjPYpn3d0pcabaXYr5/H8kopw9ZOXPBUFnAoUSEjPFYgKi/uNvd8QX5Xv3bU0J9ixGNd+5ZSEqhciPH97BwJSLhFop8r3PLj6l1dhsMOnVvLy1C61aQVGOmV1HhvGMh/jB7YtRD+ylJvgWDTkVyL4xYm/1IVx+J4nRDnxP/SjluCJas2Ht1zmrOM7wUz9DmoqYF7VGll/6NUYmo/znur10T3FmlQqR7966CKNeyUMvHEwT2n3x8kbK8s1sOzDInjYPuU4jr2zrZnljLi1VDhQdbzKy8aHU5/VVi7Euu44PvDKPv3qElQvyGBwJ8tALB/j8JfW094f4vw9uSzlMOKxavnptM1aThvvX76c834pKKfLwhoOcvbCQQreJN3b20jllFacQBT53ST1KhcCjLx1m24Gh1LZvu7iOlfNzWbfpKM/O6MKvXV7CpStL2XrQw6+e3psaX1Dl4obzqugZCPKTh7en4sgLs038/ZXzKcmz8n8emPaPtpo0fP26ZhQKkX99dAee8STHV6NW8M83tiLL8Ovn9qU60qIAX7l2AaX5RnZuHE7rkt94fg05WXo27ejjiRmd3LMXFnLxyjKcVl2GQ4vNrOXoYIC7H9qeWpU47lEdjUv85Lfb8QWT89JsUPNPN7RQV+rknsd2pealSinyzze1EoonuPe5/ezvSApABQH+4aomagotrH+ng43bp1fNrz6nijVL84jvfY/xN6athg3zlpOz9AouWF7Kb6Y82AEqCqwsbcgh12ngXx/ZQXGuhaHxIL96ei9furqJ3tEgP/nt+3j9SccQg1bJnTcvRKVS8B9P7klxuZUKgW/c2IrTouPhFw+ya4Zd5B2XNdBc4WLT+7288O60LeAlp5exdnkR+w+O8psZ2oeFtW6uP6+KUW+YHz6wLfW3q6LAypeubCQQjvOb5/axtDGHSCTBL5/ay7dubkUQBP799zsZmeKe6zRKvvfZRSgUIv+1bg/HppxsRFHg69c3U+o28fvX2nhr97Qt4Bcua6C5ysmmHb089Xp7avz8JcVccWY5Ow95+K+npoWk8yuc3Lym5i8ekPNpxocSfF588UVGRka48847GRkZoaWlBZ/PR1NTE/39/Xzta1/7S+znHOYwh08ZEgkJQfhwjuHAWDCt0Aa47w/78Yc/nsuBigjeNx5JFdoA0cFjyKNdp/hffx5EDDnYVl6TNmZZdikxY2bE9UwIAqiIohST+6xQCLyxqy/NP3rCH+X9Q8Mc7vGmChqAaFziqTfaOb4EoFBBJCFhMJxaQOUwqbh5zTyaKp2sXlLMivm5XLiiFLdVh+2cz6KraEVadCPKJdegr14KWcUE33s6zdpQ8g4hDx4h2L4jVWgDSGE/wQPvcqx/IlVoQ5Kb+vtXDjMZiGU4Wvx2w0EC4Tgbt/cw4g2zt20Ery/Ci5s7CQcCeN96PO3zwcPvIU728vCGg+Q5DVQV2agrz6JzYAJZlnnh3Y40K7cRb5h9R0eoKbLjzjLQ1pN0lzDr1cwrseMPxlKFNiRFdi9u7mBgJJBWaAP87qVDDIwG+cPbR9PGn3+3A89klIc3pLvI7Dw8zOBYiN+/ejhVaAN0D/mwGZVs3N6T5mri9UXYeXiY3iFfqtAGiEQTPP/uMUx6dZoFnyTDwxsO4RmP8s6e/rRtP/7qEbz+KE9tShf4vbqtm5GJEBdP8cePo3VeNkox6cwyk/4zMBKgvdfL9oPJe/Tac6u45pwqpITEvqMjtPdOMDQepKnKydKGHNQqBU+/0Y5SIaQKbUhSRR5+8SADYyE2bu+hJNfMiqY8ch0G1m1sQzXWg/edJ9P2NXDgHZjo59k329PsAtt6vPgCMda/04EMWAxqrEYNoxNh2nq87DzsSRXaAIFwnHd399DZP5EqtCFp2fjYq4dRqUR2HfFQVWTjtPl5OK06HtlwkL4xPy9u7mAmnnvzKP2eEI+eQP/Ztn+Qfk+AB144kNYkaOvxMuINs2FLJxOBKBs2d7FpRy+jk2H2Hh3hUOdYqtCGpA3iC5s7GZsIpwptSHrPP/rSIfrHQmmFNsADzx9gYDTIM2+mz8sXt3Qy6ovwyEvp83J3m4e+D2mCnAoyIMEftfr4acWHvrbcc889dHd3U1hYSEtLCz/4wQ8oLS0lJycHp/PUKWBzmMMc5vCnYmZheRz+UIxoXEKv/ujKezERJT4xnDEuhT/5JdCEJBIvXob1skIk3wii0U7UlI90ivRIVSKI3L0T384NiEYb5sWXksgqo2sw05PZ4w2ngklmot8TQKOBtr4gz715jKGxAEsbc1k0LzuNezoTkpTkrnYN+vjtCwcpy7ewemkxSlGgT1XENvU5vLvuGNl2AxetvJ7SRBx5cijze3wjEMgUQsYnPYzpMj2qB0cDGf7UAJOB6KxzQJJkguEohljmd0nhADevmUfHwCSPvnSYLIuWO29aiE4jptkEHsfQeIj5SoHmahcmvRqZZEjPa9u7aK52Z3x+eDyEf5Z9CoTjRKJShk+0LEM0lpj1OAKhGJ7xzH1SKBVpL0/HMTAawGXL5PkPjYVIzEIZGvGGCM6y3UgsQTAcn3XeTPqjTAQi/MNVTXjGgxh0KswGNeO+cFqRfxxjk2HynUZuPL+GDVu6EICbL6jFqFfQ5wlxywXzeHdvPyPeMOcvLWbSHyE+i2Zg3BcmEIpx05p5tHWP09btpbrYzooFeogGMr3qSV7rmcXocfiCUVxWHRXLS9mybwCdWslNa+YRicbx+maZMyT93E+EZzxELJ7gsxfWsevIMO29XpprstGoRAKhWAafXJIhEI5lJIXC8Wudef5iCYme4Uyf/P6RADZT5spU77Cf+CyEd483RCA0i+98JE4gHJt1JTAak2b1qp9trn4UdA77Wfd6O/5gjLXLS6gvzUKtmKu6P7TYfvnll/F4PLz//vu8//77PPDAA7S1tZGdnU1LSwsLFy6cC7yZwxzm8IkhJ0uPUiGmFWL1ZVmYdCcvVGdDTGnEWHc6vh0vpo0r7Pl8vB75x0dckvnpY/tpT/kW95HjGOc7Ny9Eq8zs7guCgNS5He/GqeTF0T483QdwXvsDzmzOn0obnMb8CgeGWZZ8z2otoHMoxN0PbU+Fl6zb2IY/EOX6c0qIRjO3HUnAgy8cSIm1BkYDHOwc49ufWcjG7d0pj+X+kQAHOkf52T+chqp6JfEt6R1mMacKddhJYN9baeO6sgWUmDI9WFa1FmDUqVCIQloB2FjuwGnVZ/hBO206LFYzYnYx0aHO6XOnVKPMqWD/lrGUoLLP4+dg5xjfvXURyxtz0zrVkLRT6/cE01ICAW65YB55rkwe5rLGXHIchgyRZ1WhDatJhd2sZWxG6I3VpCHLomVeiT1NBKdUiLgdBpY15GZ4V494IyxryE0TxkHS+1utyrxuyxtzkBKJDO/vJfU5uB0GtGpFWke/yG3CMYtPuVGnIt9lZOdhD0/MsLXTaZR8+zMLWdaYy7MndEjL823E4gl+9rudqbFfrNvD165rpjjHzI8e2Jp6AekZ8nHT+TWYjSpEUUgrAJurXbizDDz04sFUUTowGqCy0MYl84tROQqIjUzTSwS1FpXVzeI6I5v3TnfuRQFyHHoSksx9f5imchzpGeefb2oly6Lj1W3p3tX52ZZZX2KWN+YiC/D7Vw4RmFplGBgJsKwhl9ObDViMaib80/Myy6LFZddTUWClrWf6ZVOtFMlxGDhjQT4vbulM24ZJr2JVSwFHT/A1b65yzZrcfVZLAXqtKuNaL2vIIddhQK0Uic6Yl5WFVrLthgxqkNmgxmxQUVeWlfY3RakQyHFMJ9d+VPSPh/jhA9tS+/SfT+3li5c30Fzh+NTaun5UfCSfbYPBQEVFBStXruSaa67h+uuvRxRF1q9fz4svvsgXv/jFv8Cu/nGY89n+28Ocb+f/HnyUa63XKGiodNLe48UfirGoNpsbzqtBN0vBcSrICGhceYhSnKinC4XRhn31HSTsZcgfzqj7kzA0EWbdpva0MX8wRuu8bCyzeLOq5RCTr/wKOTKz4ymjdhViK66mqsROSa6Zxgon5y4qpDzPgtWgoTjXnPRYlmXWLi9hRWMuR/smMzytOwd8LG7IQ6fKXBkYGA/y5MZ0akEoEqe+LIvfvXIEacYf1ERCpshtpqC0EEFUInk6EXVG9CtvRsytQak3ozZZiAx1IIgKLIsvRFnSjM5opqzAxqGuceIJidVLSzirpQC7XklLrZuF83JoqnJxzqJCltTl4PGGKM214PVHGPdFqCq0cc7iIgRBpLCmlsTkCHHvEKqsPOzn38GgmM2DLxzgnIVFNFU6aaxwEI4msJm01BTb0WoUdPZPotcqufbcaopzTBS5jKxoymNhnZtlDblcsrKMXIeRcCRBU5WLI91eorEEq1oKWdmUS0GWmuoSF8f6JvCHojRVObl+dTWRcJemt/UAACAASURBVIyF9Tn0DfsZnQxTnm/l85c2EItL1JU5kkLP0QC5DgN3XN6IgExVkZ1EQkrSR0xabl1bS6HbiNWoxqRXc6x/Aq1KwVVnVVJTYsdu1pLjMHC0L0mNWb2kmKX1ORi1KsoLbLT3eglHEyxrSFKARifCVBbaGPGGmAhEqSvL4rT5eRh0SlrnuRkcDTDiDVOSa056hStF7vvDvrRnZzwhUVuaRUN5Moipa9CH2aDmlgtqaa508PjGNvpPoB6ICgHkpIPLTAyPh1han0dztYvSPAtVhTaWN+ZyelM+w2PBjEJ4dCJMXXURRfNqiHuHiU94UDkLcKz+HFF7GfluC8FwnD6PH4dVx+cvaaA0x8yDLxxIK4RhKpinJpuqIhtl+VbqyrI4s6WA2iIbOo2Csnwb7T1e4gmJ05sLOLu1kMGRIG/sSqdm9A37WL24iAXV2XQP+RifjFBZkLzWTqOaxioXy+fn0VTp5LzFRZy7uBC3VUuB20Rckuga8GE3a/n7KxopdBpwWHSc2VpIc3U2pzfnc+HyErJtOqxGNXlOI4e7xhEEgUvPKGdJrRurUU1duYPSPAs1xXZOa8pjUW02doOa1jo3RW4zFVPn9fylxZg1SurKnfR5/IxOhCnLs/CFyxpxmdWUF9gZ94UZGA2Qk2XgC5c3UpJjAAnCcYnB8RDhuIRWrcwITjr+N1wQBDbvG2TfsfRGwOBokNPm533Cf2H/5/Fn8dmWZZmDBw+yfft23n//fXbt2oXL5WL16tU0Nzf/2XZ2DnOYwxxOhCxDkcPAd29ZmKKO/LGLkhGlFeXi63C0XAiCkqhC/xd5GVcpZqe7qE7iiysLCkStnsQJjBFBpSUak9jwbicHpizq5lc6KVhjxKhRsqDcQc0dS5FkMKgVyHLSPeNE6DQKlCfZtkIpIgpkUCFUSgVatQJ/KH35WqUSQWvDtOxqYo1nIwsKFDoL8bhEOB7A3HAm2vJWZGQSaiPhQAhRLdBQYuPuzy8hIckYNApkKckp39M2yrpNR5DkZOftK9cuQKMWuX/9fhbVuWmpzqZjYIL7/7CPH35uKR9MWtDPv4mi0xL4Eko29cSpLxe49pxqnth4hNGJMIIAZ7YUYjdr8QdjaNUi37l1EQlJZt/REQLBGApR4NGXD6dEcCW5Zj53SQOiQqCtx8vCedkY9Wo6+ieIxWV8UfCHY3zzxmYiMQm9VkG/J4hKKfKzx3fyg1sXE09IKBUC371vK9+6oYXv3beV61dXc8nKMkKROP/9zF5uXlPLvc/t55YL5nH+shJEQeCZN9spy7fy+MZ2LlhawNL6XBBgZDzIa9u7OWNBPhajmu/ftgRJkvAHIxzrn6Sl2kljqZXiWxcSi8vYDGqQJEa8YR584QBL63NYXJdDW+84v33xAD+4fSn/5753uf3S+Vx7bjUT/gg/e3Q7379tKRq1Io0vDklxaCIhIQoCX76miUgsQVf/JOGYE6Mus9DQa5Szzj+9VolSIXOke5wnXktea6tRwzduaJl1XgpCcl769YVYVn8RW2QCWakjIFogJuMwqLh1bTWXnlGOSqXAohFISEmxb+a2VcQTEm/s7E3ZW1YX2Si9pJ79neMMjPi567PJaxdPJLjnid2z+mOrpsJ58u06vnpNM6FIDINWiVoUEMUkpePfH9tFIJScW9ecW8Wy2lyMGiXXrqrkwuWlqBQiGmXS7tIXTvCrp/emVl2aqpxcc041DoOKJfOyaSx3IMkyBo0SWZKJJmT2Hx3lubePAUmh7zeubyEhw7G+SR564UDy3tIq+afrW7BoleRYtXzlmib8wRgGrQq1CIkEOIxq7riojvFzYmiVSvQqAeIwHojxL4/uYHBq5ePcRYVcfFopmlmuKcjoZ1ldM+lVn/pC+6PgQ4vt22+/nQMHDlBSUkJzczNXXnkld999N0bjyS1O5jCHOczhzw2VKKD6GBztkyEhCyQUUy4gJxSUCoUISCf1oP5jYTeqOXthYVrHbkmdG8csyYsAMdRYll/NyNM/TY2JejNKdwXbDgxzoHMM8xTnevcRD3urs1lW60KW5RQt5bjlX6HbmEEVuGJVBTl2DYFA8kCVSpH41LJzrk3L2YuK0vyga0uyKHDquPKsCu5ff4CsKQs5i1FDodNAOC7x+p5+1r/dgV6r5PrzqqkpshDr3k3/W7/FtPgiEFX4Nq9Ds+Qq9E0XEI8n0ChEUCRzfgD6RkM8sXHaGWMyEOXeZ/fx9esX0FDuYPPeASAZa768MRetRoEMvPReL10Dk1iMGi49owKFIPL27j5Gp7i8sgwbt3ezcF422w4O8dKWTl7d1ks8LuEPxbjj0gb6RgJpbhMd/ZNs3ttPQ4WDF97tQKdRotMoGZsME0/I3LSmmmAoxi+e3EvvsI/GSieVhTaaq1zUFWfx7V+9Q22pk/3HPNSVObGaNVy0soyHX9jP/KpsjvZ5MejU5DoNXLGqkh89uJ2yvGT3PiHJXLCshHMXFfH9+7aR6zQQj0uMTUa48+ZWOgd8/Oe6PZTmmtHrVOw7Osp5S4pYWOMiEZcxaxSIuulrmm3XUZpn4WDHKGqVgoNd45y3pJgsi4Zl8wv4jyd2p467scKJy6bn8jMq+O0MQWeuw0BBtoln3mjnnT39abSXklwLK5ryeGdPf4rupVSILK7LQaNWYNKrUi4lggCXnl7O+EQozQfd649w73Mf8I9XJ6/1TKHsqtZCsqfiyYOyDqXekDq2FBJgm4pVP37/XnZGOfs7RrEYNcTiErIs01jqYN+xsTQf+UNd42w9kIxaf/K1Np5/pzP1uy9d1US+00BJrpmOGYLEq86qxKxTIkmgVYDJoiUWS27YG0q+SMWiMRbOS17rRzYcoizPSpFDn/IRPz431Wp4Z09fGr1p12EPzdXZOGpcSNKM+3rqLbhvJJAqtCEp9H30lUNctaoqLQE2EI7z8yd388PbFqNViqgAmz6TgicA9hOoeU+90Z4qtAFe3trNgioXFbnJv58zKS6yDLUldgxaZYpuIwgkA4Iytva/Dx9abHd2dqJWq8nPz6ewsJCioqK5QnsOc5jDpwpKMYF67Cjhrn2gVGEorCVsLZs11e2PgSjAJStKaaxwcLTXS3GOhfJcM6oT12RnIO6ownn1XUS69yPqzajyaojrnRzr3cddF7mw+dpBEBk1lPJu7zgrGtyZBQhg16v58jXzOdTlxTMeYl6JnWKXjkAggS7qIdF/iKinB01uOYKrgrDKxnmLCqkstHG0x0uB20R5voUsaYymXJGvXbeA/cfGcNl01BTbcE/s5/WuXB7ekHRf8Poj/PSRHfzo80vIMzuwXP2d5HmVYmRf9S2CkRgajUh8FoXcyESmeKzP48cfiuO06bn67Eo83jAum46BkQCiILDj0BCFbjMqpYIsi5Z9R0dYXJeTFk5zHGOTYTzjAW6+YB6DIwFUKgU2kyYtZnwm9neMUl1k45pzqghH4/iDSe/qHYeGiMdlHt5wMMWD3rx3AF8gRk2xjYtWlDK/wkF7r5cbVtdSnGumrXuC1pps8hwGDnaNU1vmoLrQRkffJDUlVv75plb2to9gNaqpLc0i26bDok/w7c8sZG/bCAqlSH2ZgwKHnkNdY3z/tsUc6BwjFIlz0YoyDnWOEo1LeP1R9neMMuINUV/moMRtpGvAx60X1HKk10vvkI/bL6yj0G2k3xNgzbISakvsHO2doDDHTHmehVgkRnONC5ddx8HOcVw2HVVFdrRKMY1zfhw9wz4YkvnqdQto75lAEKA838LWfQPcunYe37yxlQMdo/hDMepKHRS79ew7limePdY/iSxJ3LC6hvZeLz2DPsoKrBS5TSiBQDROe5+Pw11jFLhN1BTZsJ5Cu1HoTKaL7mnzoNeqqC/LwmnVsO6NkYzP7jg8TGG2ic9dUk/vsJ/JYISqQju7jwxTVWDhjksbONw1zsBogKoiG0VuM5IE48EY7b0THO3zUp5vpTzfii8U5ZqzqxBEgSNd49SXlZOfbWTEG6LIkckLj8QF9p9Av4Ckz/3ZLfkEZhEwznav7D82xmhr5vjoRBh/KIb2JJH3syESlzIoIZDUalTkmRnyhtl7dBSVUqS22I7LoiHLqE7Oy44xAuEk9SzXppvl2//34UOL7VdeeSVNIPnQQw8xPj7OggULaGlpobm5mZqak0SQzmEOc5jD3wBUo20MrftpqsU6uXU92Vd8k4Cp9M+2Da1SZF6Blboi20fyB0+gIGEuQagvRUImLIOQkLmxVUNk/f9NWRg6FSquvPBOErM4eRyHy6TFVefGYFASCCS7TjrJx8TG+4n0JLuXvl2vYGo6C+Wia9m0o5eXt3VTV2Lnrd39lOab+cplNexvG+BX66e7Zm67lm9f38CGDfsztrm3fZSyCj3DT/4YOZHsak5se57sy79B5CRxoVmzdPrzXUYMWiWb3u8BZMwGDRP+CGqVgvOWFBEMx3nmjWnBXlmeheYqF1VFtozC0GbWsGJ+Pvc8vitFk9FplHztumZMejVvncDLbSx3YjKo2bClE69v2iru1gtrkWQ5TXAI8MHREXTqWn7/6mG2fHCcJ9/NwtpsPnNhLRu39aTx4QuzTXzp6vkc7p7g549Pd5etRg3fvKmVQCjKjx7cnpovf3jzKN+6ZSE1JVnc/eD2lOPF+reP8Y0bWvCHYvzLIztSIrgX3u3k9ovrqC628cunP0jZAr70XhfnLy3h4pUlPLWpnY07einKNrFpRy+1pXa+fFUT2/f088iGQ1x5Zjlv7+rhpS1dfO36ZuaV2DNsBAuyTYx5Q/zkt++TM5XMuW5TGzesrqHX4+fuh7aTkGQ0KgXPvXWMb93citWcWfiV5JpRqRTcu34vgyNBFtVmc9/z+1la6+bqVRW8uKWbDVs6U5+vLrLxxSsa0CtnX/Hq9gT44f1bU1Sx57RKfnDbYurLHGz+YCDts83VLtRqBT+4bys2kwazUc36tztYWp9DKCbx8yd2MzwWxKhPzocrVlWyqiWX3796mPcPJl2OXtnazbKGXG46v5rdhz1pVnslOWa+eEXjrPupUcrUlWaldc4BKgttsxbaAA5LZhFbV5o163iWRYvxYwrKNUqRhnJHxrXOdRjoHwtx173vpYTMKqXID29fgsuswW5Qc1q9GxA+dqDWpxkfiUrjdDpZvXo13/nOd3juuedYv349tbW1/PKXv+TSSy/9pPdxDnOYwxw+MWhVMr4dL09zGQA5HiXYvgPVLALC4xCEJMc4EE3wcdZJP24QjyzLqWJBFAUU7W+keYXLiRiqrm2Ip+iSH8fxQhuA8d5UoX0cvt2bGPP6eOHdDqLRBDsPe/CHouxtG2HYl+CR19IdMwbHwvR4QjismQ/4xXXZBA5tThXaAEgJfHvfwGhUIwgC4Xj6+VMpBK48qzJ1LBajmhvPr0EUBW6/uB5REBibDKNSinz+0gZkGV47QUx3tG8Crz/CtedW45gK9BEEuGB5CXkOI6/v7Enjo4cicSYDETQqBfMrp+1sy/IsZNv1eLyhtEIb4Pl3OpDkZKz6mS0FXHlWJfMrneg0CsYmIzMK7SS27R/COxnhuRNcPLqHfPR5AhmCVK8/Qkf/BK9s60qbL9G4xO52D4c6xtKs5WQZ1r9zjJ7hQEYQzROvtTE4Gkrz3wZ46b1ORicivLKtm3hc4mjfBOFonB2HhhkaD/LUpnZuuWAeDRVOrjm3BpDpHvKxdnkpuTOcKlYuyKMs14zZpOG8xYVce141155XzXlLisgyazjUlRQ2hyLxlLf1E6+1oVaK3Hh+DXd/YSk//rtlfP36BZyzqIi+kQCHOsepKbFj0KupK8ni9R09DHnDvLw1ff4d6hqnzzNFcxCSCarRhJz0dxZg3ettaZqMYDjOB8dGqS+z01ztSo3XFNtZVJNNjk3HzWtq+IermvjshfXcdH41l51RTu+wn95hP9G4xNhkGFlO+mn3DYfY2zbCDaur+caNLVy/upqtBwYZ80VYf4KzTcfAJAOjmRaPAHFJZFlDLqV50y49zdUuKgusU9S2TOQ59Fy8ojTlZe206rj2nCocJg23X1yHcspuz6BT8aUr539sQTnAJSvK0q716iXFFLtNvLy1O80xKBaXeHdvf+q+lWXmCu0T8EcJJHfs2MHk5CR1dXVcdtlln/Q+zmEOc5jDJwYBkKKZD0EpEjxpKIOMzKGeSX7zh/14fWFWNOVz6cpSjJpPPnFNDmXSHZJe4QIZJPRTQErM4qMrS8TjmT7RkAz4OLGTC0n/6MvPKGf/sdHUA9hm0uCy6QmGM8+rHAkQj0vsPjbKgy8cwB+McfbCQtYsLSYcSVBbaqc0t5lgOI7JoEatFAlF4uw8NMi3blnIZDCGyaDi6U1tXHtO5aw+0YIoEIrEuPT0Cib9ETQaJTkOA0qlgD84u9Hj/mPJJfFrz61CkmFwJMBbu3pZsSA/47OhSBy9RsltF9fx1KZ2BkYD1Jc5+Pr1LURnM5AmGYYTm2X1IR6XCM/iyRyNJYhFMz8fiSYQ5MyJGQzHZ13dCEXiafaExyFJ8hSPeZZ9lWW+dctCnn2znQdfOIDDquPmNfPQqRU4TWruvKmVwbEgapWCbJsOnUpEqRAx6DT84sk9CMDa00pRKEXCvszzEQjHUKuVuGw6/u33uxjxhmipzuayM8uZ8Ee45YJ5vLy1i7d391FVaOOWC+pISNKsL6qxuIQvEmfd6+28u6cfm1nLbRfVUZ5rJhDKPK/BcByDWsnnLqpl9IxyJBkcZg0qUSAugU6r4p7HduELRjltfh715Y5Z6VmxeAKQ+foNLfzu5UN09E9Slm/hmze2kEjIs3rGzzYGgAyDY0G+cFkDY5NhFKKI2aCiz+M/aQKsWiGydkkxS+tzCUfjOCxatEoRUYQ8l5HrV9cQDMcx61XodKo/SghuM6j4zi2tjHjDqNUKsowaVCoR/ywOUr5gbIrDPVdkz4YPfTLcdttt7N69m1gsRkNDAwsXLuS6666jqakJjeaj83/mMIc5zOGvEaGYgKnhTCK9h9PG9RUthGYpLgGGvBH+5dEdqQfYGzt7USpFrl1V/ok+axIJCX3j2YSO7Urf13kriJyCRjIbFPY8FKYsEr5pXqamoAaLzZAhUHNatdjMGs5qLUgTxmnUCpwOM26rnh99fimdA5No1ApKcsxEQjGM85YSPPxe2nYNdSs42Onlnhm0iZfe68KgVdFU7eKuX29JK6AbyrP44mUNdA/6uOve6e+qzDdhM6poqcnm/YPToTpWowaXTcdzbx1Lo4UIAtx162LOXlRIe296l9eoV7Gw1s3dD21n+4xUyC9eMR+nTZvh837OoiIUIvz3Mx+kCtkPjo4QT0jccWk9hW4T3YPTYUn5LiM2k4al9Tm8u3eavnDc0/rcxcU89ur0/FMqBIpyzJgMGnbOEG0CNJQ5UCpFnnkz3WP5nEVFZFm1GR7LZy8sJNdpwGbSMD6jQ99Y4cRp01JdlLRgPA53lh67Uc1/Pv0Bu6ZEhJ7xED/73U7u+uxiAPQqkdLsae1WPC4RicZ56vXpDv2TG9v4wmUNzCu2ZbjbXHhaKaFwnH/7/a5UAb394BCSLHPD6hp+/vjulMjucPc4k4Eo37qllYbyLPa2T8/XpAWinqfeOMrbu5N0h9GJMD95+H3+35dOY1VrYZrPtiAk49FlWUYpCGSfQFvqHPbzy6f2pn5+Y2cvOo2Sc5cUpgn/AJY25GExafjBfVtT9oJHeyf45VN7+eHnFifFuDPmktmQtPCbFXKyY/7vj6Xf11++pmnWQn/m8ThMamDadWVoIsKP7t+WNgfK8ix8/bpm1H+ELYhGIZKXNc0zT8Qlzl1UlCYmBlgxP++UVLb/7RDkD+n1//rXv6alpYX6+npUqo/H+flrwOio/2Mv287hfxZOpwmP55NP9ZvD/zw+qWstAYPjIQZGg1hNavKyDLOGxxyHTpok0bsf366XERQqzAvXILtqiDB7Q2Fn+whmnYK4BMFInGybjqffPMpn19b/Ucu1HwdKOYo8eJDA9ucQRAWGhRcju6pIoGQiHE8tdxe4jGRb1CQSEIhE6fGECIRj5DoM5Dk1SDERQ7AH366XiQ4cRVvSiKHudAIaN75InK4hP0NjAWwmHSU5JlRKkY6BCYbHQ7y5s49ch4ELlpcyGYjQUGJlYDxCr8ePSqmgwGnAZdUR8I7gkw30DPuRZShwGbCpgrx1OESeM+lhHYklyLbrePaNdpbPz+PnT+zJOOZ/+eJyNGqRYW+E0YkQLquOLJsG72SMPk8yuvy9fYOU51tZUp+D3awlGgkhKjX0jfgxaFTkOA0c6BhjaY0Zj1+kb9iPQiGQ5zRiiXnoCBqwW/T0DiefGfkuIwkpStdAiKIcM8f6JwhH4hRkm4jG4siyQJZFy2QgykQgijtLz8Cwj2yHCZtJydhkDM//Z++94+S46/v/58z23m+v9150p9OpS7ZkW7bkgrFxxQ0XHIwNBAKYhNBxfgRIIIEkgHFvGNxxb3KRbUlWr9d0ut5vb297mZ35/bGnldZ7hvB9hBRzr8dDf+ij0e7szGd33p/351X8Udw2A26blpGpCF6nkbGZCGMzYSxGDeUFNnQagSl/FLNRx+hUCL1WTb7byODYHA1FNoKSwvBECFEUKM4zoxHBatExMxdnZCqElJIp8pixGNUc7fdjMmjwBWJE4xL5ThO9w7Oc2V5MJCkzMB5kLhTD6zRR5DHjMKiJJiUm5+JMzkZxWfW4bQbiUoont/aweU0Fk750gmRSkoklJNY2eRj2xRmZDKHTqCnOM5Fn0/PDh/eyvye7AFta5+HLVy6lZzjA41t7mQvHOX9tBUsqneztneGXTx7MOl4Q4PZrOvjB/bty5sC3blqFw6zFH04w4Yukd0/sBib9EfZ1T7JmSRGj02FMeg0Oiw5RgK5BP3VlDkamQqhVIoVuE3s6J9myspSpQDwzL4u9ZlxGDa/tG82JWbeatNxxyyr8QYln3+ljeCLEyqZ8VrcUMDMXZXAiSEWBDV8ghsump3NgltpSOw6Ljm37R9l1dJKyfAvnra2gwK5Ho1ExNB1hZCqEUaemKM+M1aDijvt354TabFhWzI3n1hOISIxOh5FkmUK3Ccv8DlognmJkMkQkLlHoMVNo17Gvz8fb+0ZprHCSkGS0apE39gxzy8VL8Np0TAXiTM/FcFp15Fn1qEQBRBiZjjI6E8Zm0lLoNmH+A85PkqIwE0wwPDk/Lz0mXGYtoiAQS8qMzKR3rwrdJqwG9V9E1okoCrhcH24e8p+y/lvEIhaxiP8rEEWR/cem+dlv92W6aRuXFXPZxuoP8YeFqGiF0tU4KpYCIpHUh4cTAFTkm7jvxZ5M91ejFrn9mmUZnuSfEyMBmZ/+Pkp1wYXIKYX+p0N84fIUKpXMz3+3n4H5jqpRr+Zvr1uO3aDi3he72d2ZFnGpVQJfvrqDxgID4WN7UFIpLK1nEu7dg2ZyAHVFPoeO+rLsw85fV8HH1pajVat56b0B6sqc+AIxnn7rGJ88p47+qSg/uO/9jC9zWb6F2y5tRUoZ+OeHd2V4xE6rni9ftYyGMgO/fuZQJlFTr1Vx+7XLSSRzt/1tZi0GvYqtu0d4fOvJYKBrz23gjI4CxqbDbNs/Sm2pg5HpELu7JrlgTTmBiIof3rs903luqXZz3ZZ6RmdT/OMDOzJWdEUeM5+/rBWLGX780G7G53m1VpOW26/poKrIxj3PHuZIf7r7q9OouP3aDhxWLU+/eZw39gwDaceZ2y5to8Rj4vU9wzz80slO9RWbajm9vZiugVn+9RRx5mlLi/jEGdVoVCq+8+vtmZTPujIHN17QhC+a4kcP7s5wnb1OI3995VJiszF+9tt9GQcVs0GTPieLjqff6svMS7VK5KYLmxFVIlvfG8jsSggC/NVFS9jQls/bO8e559kjmXO96PQqzlhezLq2Yr53147MLsPKJi8Xb6jh+Hwi6QnOeFWRjS9euZQijymn2C7ymElJMqVuI1+8rBVZUVDNpx4uJNhzWPSYFhhXq0TsZg1HB2azCvRzV5ezZU0ZSo2Xb9+5I7P7sLTWw9WbG6gssvG9u3dmosdLvBZuu6SVEV+Unzyyh8n5lEq7RcdXrl6G3Zy7uPY6jOjUaoocam65uJloXMZuVBONSqhEgb7ROe64d2fm+Ks21+G167HoNVy6oYotq8vTXtrzzkbdIwH+8f73M53npgoXt16yhAKXKafYLnCZmA0l+NFDezJx7laTlm9cvwKVSuDuZ49kkh+1apHbr11Ovk2PxajhwflFgyDANVsaMOvV7Oic5M6nT4qZr9lcz1nLCtnf5+enj57cZVi7pJDLzqzBolu44J4JJvjhA7syOyUeh4GvXLUMvUbkp4/uo29e6GnSq/nWjavmu+9/2Vj0Gl/EIhbxkYI/kuCeZ49kbVtv3T3MyCniJLUKFsqZiaT0f7TQhnQX6FSaRVKSeeCFTkTlDwe/i6KARqX8p8SMJ6DSiKjnu+U6nZq3948y4YvwzuEZ3jvqY2wmzL6eKboH/ZlCG9Lc1Gfe6mPEF8sU2pDmXt/77GHC8QTB954k0vkevq0PEh86wuyrdzM2G8vyV4a0IHByLs59zx9hei7GOwdGOdrvY3fnJMFIgmfeOpYVgDIwHiQcS/L+kYkswZ4vEGPbgRGMes0p0fUQS6R4fGsPhW5TJqEQ0oXCRadX4wskeOKN7ATOh1/qYmImzv3PH2FyNsq2/aMcG57j1Z2DSEralu9UrvLB3mlGpsO8tGMQRZG58YImPnlOLeO+EIeP+xibCmYKbUh7fL+2a5DhqVCm0AaIJ1M8/FIX4aiUKbQhTZO497kjjM9GefQU/2iA377Ww8xcjHuePZw1L9/am/YC/80r3aDAkpp0ImDXwCwC6eCVE4U2wIQvwr6uKYYmAgxPhjhjWTEXrKtASim88G4/UkrOOYA3KgAAIABJREFUmpdSSua5d/oIRJJZ9B9FgfueO0L/RCRTlJ3AU28dI5VSuPe5w1l0nh2HJ5iei/L41p4sceaxkTnC0SQrmvIz3u+QLgo7Grxo57kLophe6J3ocnqdRporXVn3+tpzG7CbdGz4AE/+gnUVpGS4//nsefn8e/2EohL3PXcki+azt3uKYCTOs+8czxTakI6K7xmaZX/PVKbQBvAH47y1d4T6MgelXktmXK0SueTMmszf5YSMToDoPBc8HEvy2AfErY++0k1o3m0nmZTRq8RMoRWT4aGXOrMoHoePz9A95OfM5SUYTtF8uGx6mipdHOrzZQptSM/Ll3cOMDgRyopYT0gyD754FJNFx5un0KcUBR7f2osMWYsqSJ/LTEhKz8tT7vU7B0YZnclOA81cE7XIm3tHsihJU7NRdndO0jU0lym009dHSnuBf5j45S8If341zyIWsYhF/DciEpMILGCXNReKo/GoYOww4f2vorJ7MbWeTdxc/Ccr5wMLCIRGpsJEkzLmD9l91SVnSfbuIHxsF7ryVvS1a4lpnR/6HtFkiiODfrbuGsJu1nHOqjLqS21ZBfUJBMMJQtFcwePQZJBAJHd8fCZCPCXmmKgoyTihqJTpsJ6KQDieVYyeQDwhL+hRbdRrGJwI5IwPjAWxGHMfPcOTIeJJGadVz1Wb65EkGa1Gxeu7h3DbDTlb0VJKJhSTsni0p/7b6FRusRAIJ2muTDtRvPr+IAatmq9ds4LJ2TAmfW5Xc3I6RCDfmjM+MhUikczlpwbCCQLhRI5oU5YV5kLxnOhwSN87r8tIe30e+7qnyHMY2bisGINem8X7PoHBiSAVRRZuv3Y5r+8aZHI2yk0XNjHjjzG3wLwfmQyRSObez2hcIhxL5ognFQWiiRTT/tiCn2+he201a3nq+aN85uIW5kLp6G6LUcsrOwZYUtXOsdHgvH1ignNWlVFbZOPYyBznratg04pSwjEJr9PI9sOjeBwGwtEkV2+uJ5GU0WlV7O6coLnKlVXkn0AiKTO2QGGYTMkMT+Se6/hMhPgC12NgPEAyJfPpjzczORslnkhR4DZxuG+KfKdxwS7vXDiRIyaWUgqBcAKbQcOe7mm2HRilrtTOhvZiRFFgdCr3nALhBO/uH+Hzl7fhD8YRBQGTQc2+7klCC3x/e4bmKF1oXk6GFhTDhqNJAuEE0gdyA2QFYgkpq3DOnNMCcxVAVIkMjud+r6f8kXnRaDb6RufSSap/QoPho4jFYnsRi1jERwpOi47yAmtWGpsoCpR6Lcj97+F/9Z704HAn0a7tuK/8LjG99096jwJXbjBFR0MeNpN2wfRJDQmCr99FfCBNzYiP9qLp3Y31wttJCLm2eaIIe3tm+PUp4q73j05wx2fWsLzBmxOAUZRnwWLU8CzZdmMrm/IpcOQWkW21bpx6Cb9aiyKdfKiqbXnk2fXkOQxZnT+dRkW+w0hbjYd9H6AKmI0aVjUX8NQHbO2CwSjtdd6MB/EJLG/0MrpA0b6i0YtWJfLm3uGswrq+zEGew4BBp84qthwWHR67nuI8c1YBqFYJGLQaOhry2H4o24KvwGUkEElkCdF2d07w9RtWEgrkFpdL6rwLitpWNuXjtOgQRSGrI1heYMXrMGA1abMWfGaDhjynkapiWxZVQBQF8l1GSr2WrA7zns4JaoptrGjKp2vwZFcdoK3Wg16r5rt37cy896G+GW67tBWvK3cudTTmYzJockSeBW4TXocBp1WP75TPbtCpsRg0NFY4s3zKBSH9f1Y05md5XQNMzkZpLHfxwwd2Z43fdGEz/eN+vnXn9kyhd6hvhi9c1ka+y8h379qRda9bqlxYjBoOHpvm/VNEr267HrfdQL7LmLXg06hFzEY1y+qzRbKQtrxb0ejlyTezi9vaUjuReCorzRVgeUM+iUSK7921I6vzfM2WeuwWNalE7oLc6zBiMmiyuuc2s5Y8h5En3+7jtfeHgHQ4zbsHxvj2TavoaPDmeFcXuE1E4xL/+AGu+ucva0OvVWXtSkDabtHrXOA3qDEfs16DWiVkFdZl+RZcNj12sy5rp8SkV2M1a6gtsdM9dFI0LM7f64UgJSWWN3pzPOzrSp3YF6CLnNZWhFYt/sVr51Tf/va3v/0/fRJ/TkSjib8Icv5HCSaTjsgCncNFfPTw57jXKlGgfj4gYjYYx2HRceslrdS4IfDCv6EkTymq5BT6olpka9Gf9B42o0C+20LnoJ+kJNNa7ebKs6rRf4iIXBMeJ/j2b7LG5LAfY00HKb0j5/iYpHDnM4dYW2/nojYDK6qtTIZBp9PQVuNCAfrHAqhEkXPXlLOqyYPLasBq1tIz7EeWFda0FHDOqjIKmKaqppSKIhuNFS7aatxsanPhNIgYazoI2KsJFixHX9GKa9X5iHorDVUejo34mQsl8NgN3HppK3azhvpyJ+MzESZno1iMGm6+sIVCt4npuSgGnZrR6RA6rYrz11ZQkGfBZdVj0Kk5PjqHIAhsWlHKsvo8CpwGivMs1JTaaap0sbTOw+qWAkKRBKcvLWJFUwHLm7ysbyti9ZJ8yvRzNDdW0tGYx/LGfE5rK+bM5SWQSmG3GvEFYvhDcZxWPZdvqkOlEmiscDHtjzDhi2IyaPjUeY1UFVp5+OXuTIw7pM1jrCYta5o95Hss1Jc7aa5y01Gfx5JKB7PBJCX5Fo6PzqXvdY2H+nIHXqeRxkoXnf0+YokUlUU2brigGZNeQ2uNh+7BWULRJPkuI7de0orVqMOgUxMIJ5gNxLGbdVx2Vi02s44HX+zMWkikZIXqEge1pXZAoH88gFolcv7aCpbWeth5ZCInIXMmEGN1cwFuu4G+0QBJSaa50kVrjQeVSqC5ykVNiZ2GChet1W5aa9zotGpWNHnpHfITCCfIcxi49ZI2QKGlys3oZIjpuRhWk5ZPX9iMSa+msshOodtEY4WTJTVu1i8txGHRk+8yo9OI9I3MIYoC562rpKMhj4O9PrasLuOcVeWsay3kwtOqePDZw6xsyae+zEXnwCzxZIr6cgfXbGkAZJbWeSnxmmkod9Fa42bz6nJEMUV7XUFmXrpsem69pBWXVYsMnNlRwsrm9NxY0eRFq1ZR4DaTlGSGJ4NoNSo+cUYNJV4zLpsBo15N30gAQYAzO0pZ0eilbzTA9FyUc1aWzQfE6Nl+aJy1LYWoVQKBmMRsKI5Go0ItCkQTEm11eXQPzhKOJilwm/jsJ1oRRYG7nj6UZUwUjUssrXWzpMbD9GyUcV8Ek17Ntec20FRuR6dN/3YMTgRRq0QuXF9JeaGVcq8Fs0lD98AsiqJw1opSzmgvxmHVku820zXgm5+Xbi6d51k3Vrk53Jf2Yq8qsvHZTyzBblDTWpdH54CPYCRJvtPIF69sx23WUlPmZHA8iC8Qw2bW8lcXLaG60LJgfICigNNmQFaUzG/QeWvLWdWUj8uiwzkvElUUhdPbi9m8ohTNf4OW5X8agiBgNH44BXGxs72IRSziIwevVcftV7XjC8Ux6jXY9CqEVBTEBTgewp8uXRFFLae3FdFUbiOelHFbdcAfCsBZ+GEjiAu/twDceLqLgqO/IbXzGAgin2s5l2l7KTaDlqs2VXNWRwkIkOfQIifTr3/uymI6GvKQUuC2ahEVSKQ8TPbP8ttXe5BSaYeApspWIoKOo36Zn780SDSewG7R8aV8G6UmAIWmChermguIRJMosoKCSCqVoMBtoqnSRTyRIppIIiLz7oExdFoVl51Zi5RKB1xUF9sJRSPUlzlYu6QQBQV/IE7/aACvw8i4L8KTbx5DlhVqS+00V7ox6NUcOT7LQy+mea1ep5HPXdqKHIsyG1DxiycPE45JWE1abru4CY9dx/0vHGFlUwErmvIJRRI8+koXn798KRPjAc5aUcbFG2sQgLGZMDLKgiJWtUpEmRmgfzjJa3vGUBRor3XTZhwjLJXw2vuDnL2yDJ1GRffgLM+9c5ymSjdPvdHL5y5rQxAgEpX44f07+eHn1iEoMl/6ZDvxhIROqyYUSSIKEg+80ElHQx7L6r2Eo0me2NrD31zVjnqB4BKNSuDxrT2c1lbEmctLEAQ4PjrH7s4JVAt9BlEknpR54d1+zlpeil6ronfYz+Nbe/jC5UsJRZI8+cYxonEJp1XPJWdUIwoCP/vtPv76inZkOX1tfvXUQa4+ux6dXs0F6yu53KBBIE0jUqtEwrEkOw6P0z3oTxfVaypw24xoVCpkFC7ekOY4h2IJFFmhqcrJ6+8P8dL2AWQlbb1386WtRGMSBr2Kv71uOVJKQVZkIrEkLpuBcDTCU2+mdQA2s5bbCttQi1qiUoKrN9ejUYsoQCyeRJJFij0W7nrmcMZ15JIza/DYDdz3/FFWNHrZtKIUBNi6awiNSiSaSHu1f/fm1SgoHB/x8+y246xtLaSu1MHvXu9BlhUqCq1ceHoVgiCwq3uau545TDyZwuMw8OVPtpNKyfzqyYP81UXNqFQiUkrh3x5LX09BEPhgp08QRFCgtdbD2StLkWSFcDRJShYYngrRWOFgY0cxAmmq0rQ/SoHTSCol87HTqhBFgVAkTV0RFMizG/j7G1aSkhUkSUYzT9WoLrDw/ZtXEU1IWAwa1EKaK59v0/ONT60gHE9i0mnQznPovVYdX/pkO75ADINWjduiQZI+vEtp1au54sxqNq0oTYtXjepMJtjGpYV01OeRksFmVC/abs9jsdhexCIW8ZGERhTwWtM+urIMCdGAbf3l+J7/98wxot6MylPOAvEufxTxuITFoMeSu3Ofg7DWhVi5HLnv/ZPvXdhAROdesEQ3aqF06h1iE/PUDEWGA89SVdmETD4pCdyWND1EPuXkJQmcJ7or8w+5gWmJB04RPI5Oh7n/haN85qIWfvKbPZntZn8wzk8e2cO3b1rJPz28Jys18cXt/fzsi+u5/8UuOvtnsRg1RGNJJBm+cf1yNiwr5q5nDme2lnVaFXqtikA4wT89vCdT4EophWu3NNAz7M9yFuke9PPcu8fZ0F7MPc8eQasCl03HhC/Cr585zC2faOFnv3svs70fCCf418cO8b2bV3L60uIsSkBxnpkCt5GXtg+wp2sSs15NLCEhyfDNT63gvHUVHDnuSxfYSlqsurTOQ5cvyKu7Tzo17OmepqGsitZ6O/FEKosm8+mPN6PViEQTKb57147M+NkrSwlEJP7xoT1ZnWqDTs23blrFOatK+f3bx4G017bXacRm0nHFptos33GTXk1VkQ2tVs0/P7wbm0mPgkQokuL2azvQalT8/q2+LLrD+esqsJs0yIrCc9uOodeqCcUkrj23AaNezYMvdma28n2BGE+80cs3blhJdbGdv//Fu5nXqS21U+Ax8c+P7OXYSLY7xh2fWcM7+0fpHvSjUYukZIXfb+tjWb2LA73TPLetP+t4t81Aeb6ZF947SYPoGfLz6s4htqwp5zunXDtIF+I3XNDEz3+3n5Sc5mvPhRL8/LF9fPPGVfzL7/ZnUV5EUeCnf306j2/tYWSeCy2lZH7zchdV169g04pSfv67k1aSWrXIV68pwqBT881fvcdvhR5AICXLfOvGVUTi2ULS46MBOvt9tFS6+PdT/LenZqP8++MH+cIVbXgcBr5/z8nv9dJaDw6zjjM6SrLmZaHbhMWk4Xevd7Pr6CRatYgkK8iywteuXc5cKJ6TJPq5y1rpGvTz29eyxcFWk5aWShf/cN/7WeMrm7zcfEETKKBXi+jVuZ1WrUpAu0AHVidAwbzv+B8qtDOQwWXS5ti3KjInw70WC+0MFovtRSxiEX8RUBRQitpwXXw7se7tqG15aCs7iOvcf/aHwvhciiO601i2shH9TDdxRyWH4gUU+xUq8nKPVyWjJPv35v7D7DCCt+FPosZNzUZzxjr7ZwlFkjmCqdlgHF8gnhNPLqUUIvO+zeevrWR0OoTFqMWoVzPhi+BxGPjadR1sPziOxaSloz6PfJeRN/cOZ4RuCgp6rZqj/T4cllwe+YGeaRorXHzjhpX4AlFmg3FKvRaGJoJMzcayCkuAUDTJpD9OS7WLqmIbB3qmqSi0Ul3iIBpPYdCr+MrVyxidCmEyaLAYtUz6ozhtGr5140p6R+bQqEWqi+1EYgn2HPPnnNP2o9PUlLm4/drl7O6cYNofZXmjF7NBQ++gn/VtRcTiEuO+CJWFVsamw8zMxXKEfNG4xLQ/ysb2YorzLOzrnqLUa6Gt1sPA0BzN1U6+cvUydhwex2Uz0NGQh8tmYHfXBN/59Gr6RuZQiQIVRTamfWF6Z8L8zVXL2N8zRTiWZHlDPp2DPmpK7fzdp1bQPxogEI5TXmijyGWkdzSQw5md9seYC8a5eGM1TZUuDvfNUFPioLnKSTCazCm0IS0+Hp0Oc915jQQjiTQXVwGn1cATbxzPOf5AzzStNe6c8f09U5y9sjRnvGfIz5Q/yrrWQoryzIQiSawmLZ0DPnxzsaxCG9LC00g8yeE+X85rTc1G2dczyfXnN9Iz5EevU1OcZ+Zw3wyXbqzmuzevpmfIT0pWqC2xU+Qy8tqekZzX2dc9xfnrKnLGB8YDjM+EWb+0iOUNXnqG/NSWOVCrRHyB9Hy9YlMtx0cDeJ1G9Fo1QxMh/ME4153XSCCcQKdVkUimmPKH2ds5mfMeY9PhBcXe2w+NZ0W7n8Derilim2WiSZmB8QDT/igleWZK88wY/4Bv9iL+/FgsthexiEX8xUAStOBuQONtQlEUYrLy39J9sZi0PLHTx5OCSL5rGZMHIsQSU/ywpXbB41NqHeqCGlK92YIpwZa/YJT6H8JChW2p14JRp+KDO90mvRq7OV1En2rlJwhpkV99uYMfP7Q763U++4klBKNJfnD/+xS6zcTiEm/vG+GbN6xgbWsR//rovkzxqdOo+PzlbQvSJmpK7VQVWfnFkwezRIQ3XNCEy6bPESPqNCrsFh3vHfDx/LvHKfSYOdA7TXmBlc9c3Ex7nZcfPXjyXAvcJj5/WRvRuMQd9+7MLDQsRg1/e91yakrsWYmTAI3lThJJmX/49btsWVVGa42bXz62l/JiJ5/YWMPPH9uP1aTFadWzt2sSi1HL5tXlaNRiliuEWiXisOrZ1zPNE1uPcebyYvZ0T7KvZ4rbLmmmazjATx7ZTVGehUPHZnhn/whfu3Y5VUUOvn/3ScGeUa/ma9cuJxxP8f/d9z715Q7MBg0/fmg3G5YVE49LWf7bAJ+7tA2nLXcOWIwadDo1r+4YZC4U47KzannxvX66Bme5enMdBW4TY9PZLh96ncjZK8r4t8dOetg7rXraatzUltqzbAdP3NPgAsViVbENtTqXClOcZybfaSQcTWaFy5yzsgyPXY/ZoMlx3dFp1TmCaEjPe71WzT3PHqE4z0w8meLVnYPc/PEWJnwh7rh3Z2aOa9Ui3/n0KvIXED5Xl9jRL+BE4nEY8NiNvLN/jD1dk3idRvZ2T7GqOZ+mCif7e6Z490CSIo+ZI8dnCEaSfOumVZzRUcKvnjopfM53GfnMxUtorIzR+4EFTr7TSJ7DyMs7ssWczVUu9AsUzzWldpKyzL3PHc6yBbzi7Dq2rCwmlVxsNf9PYVEguYj/dVgUSP7l4H/qXiuK8t/6u6DTiJQV2Hjv4BizwTiplMzNH2+huiDXvgsgKYv4RAf68YMZQadQ3sFc4UqMpoVdAj4UooAgpCkLS2o8KChcvaWBMtUUNpMWQWdgeUM+ahV8crWTPKcRm81CS5WLizdW01DhoMRrocRj4me/O0jsFFvAuXCClio3z75znElflEA4QSQmEUukqC6x0zs8l+WckpIVjDoNbbUeJmcjGWcJu0XHljXlROMpXnpvgJVN+bTVekgkZXYeHmfz6nK8DiMHeqdQSItgb7ywGZdVyy/mI9P9oTgJSWZyNsoZHaX88smDWQuGUCTJqqZ8nn+3n5FTbAETSRmPw0CBy8yEL5Lpnua7jKxdUkShx0wokmDrnmHePzKBwaDl5ota8Dj06DQq9vdM4w/FUYsCn72klbI8I3kuM3u7p1CUNNXh+guaqCq28JOH97F5dSmttXmUeC288v4gq1sKue+5o/hDCeZCiXlLPolLzqri8a299I+d3KJPSjIWo5b1rQUEI0nOWVVGXZkTlUpgfVsRYzORHJeNYyP+tJWgTkP3UNrZRK0SufLsOvKdRn755EGuO68BnU5DocfCo691cmZHKQ1lTt4/OpFxMDl7VSkNZS5++1o306cITKNxiZpSB40VTroG/ZlObGm+hY+tr8SgS3PWz1lVxpolhcgKXHhaFZKkYNZruPLsWjavLqfIY2JdaxEpWeGRl7uyPsPxsQCntRdTW2Jnd+cksqIgCOmwoDKvmcoiO3s6JzILnA3Liqkrc1Bbkl4AjM9EiMQkmiqcnNFRwvZDE4z7Ilx7bgMrmryMToUJRhIU51mIxqXMIsNm1nL+ukrynSYMWjVH+k/SpL505VJUYtq7Wkql55+USneUt6ypoLbUwY5DY8wEYiSSMhdvqKa+zM49vz9C8JQFQyiapL0ujyXVLmbmYly0oZr2ujy0GoGNS0tw2w1MzkZorHBRV+pAJQpcurEGm1FLNJHi+Lyvtdmg4XOXtjHlj/LkG9nOQN0Ds6xoLsSkVaGIEIyl0KhzrT//X7D4vE5jUSC5iEUsYhH/01CgpcLBD29dx0wghsOiw2n+8B/mlKLwr6/62NxyM6WGMJKg4d0BKJ+QWe/50946HouxtsnN/S/1sr93mg1tBTi0EmLUT43XyO7BEK/tGqS9xoVXFyMUjtNQ7uCpN4/xxBu9VBRauXxTHSkFggs8VGPJ1IL+0UlJZsqXa/E3ORtBJaQ70zdd2IQoiEzORnhiay9XnFXLDRc08fruIQ72TrOswcuKpnyicYkj/TN8+aplhKISZqOGF949jstataCvcEpWFtx+l2WyrM9OIBhOMBOIceFpFUz7Y6QUBY/dwMBYAI/DwDmry9i4rJhoPIXXaeSRlzu56ePNrG0tpLnKRSCcxOPQYzWq6Z8MUVdi45aLW5iZi+G06akqtOKbi/N3n1rOKzsH+fEDuyj0mLn9mg50GoFAOPecVIKYQ+cB8AXiqESR1hoPd//+MLF4is2ry0ilZKQFrsUJ3+tILMknz64nmZIRRYGEJBNPprjjlrU8+UYvh/pmqC628a0b1yBJCr5AlK9fv4Lp2ShmowadVkUgEmc2mGuRGIkmCYYTfOHyNiZ8EQRBwOtIF4k2i5aVzfn85pVuwtEkm1aUIggCLouKlmo397/QycRMmNUthTRWuphZwN9blhUiUYkXt/fzpU+2E4okMRvUvHdwjGQK7n3uMLd8opVoXEKvVdM7PMvIZIhAJMlXr+1gYiaMRiXicRjpG50j32XignWVPPZaDylZ4by1FdgtWvzBOBvai2mt8RBPSrjtBoYnQlQX2zlnRQnL6vMIRpLkOQzYDGoGp3Lnt6Kk59O7B4b55k2rmJ6NYrVoGZ+OEIpIzC1wr2MJCY1KpK7cyUMvdaJVi3zijBq0agFREFjfWsQjr3QTT6b4+OlVGLQqdGqRK86o5oxlxcQSEnl2Axa9mrEFbDUTkkwyKTMRiPPY6z0cOe6jttTBZWfVZHjai/jzYrHYXsQiFrGI/w4o4DBpcJgWtgc8FUatinWthdxzimBKEOAbK2v+wP/6kNdSy9x+594MbeK59waJx+NcdkYdP3j0/UxRuu3gBGMzFr50lYMfPbgnsy1/uM/Hjx/czR23rGZ9W1FWaqJaJVLoNrFxWXFOEqHbbmBVSwHbD2d7XZ+2tIhEUuL8tZUcPj5DIJxgSbWbtmoXao2anz+2P1NAv7V3hBWNXs5aXsyx4Tl2Hj7ppVycZ07b733AD9qkV+Mw69jYXpwldlOJAkajho3txfR9YLu+udpNKqVkUWQAbv54CxoBvv6r7Vn0nY+tryQSk/jmL9/L6vQvqXbx6Qub+f497zNxykLD4zDwzRtWcPfvj7C3O+1T3jPk54cP7OLbN61i47KSLAGmKMCEL8hpS4tz/IxXNns5PhbkZ787Kaj8zSvdXHdeAzXFdlSikBWqs3FZMSqViNmoRUrJ+AIxvA4joUgCq0nLD+7flaGdHOidYXBiN3d8ZjV7u6f498dPRqOrVSJ3fGYNZ3SUpBMv5yEIUFZgwR9KcMe92YK9L1zehioi8ZNHTuoPHt/ai1ajorHCxT8+sCvTOX/1/UGicYlLzqjGbtFlLTTKC6x4nQZkGX74wElqlcWo4botdTSUu7LunVol8M0bVxEZ8vOVf30765y+dm0H8WSKnz92Ujj5wAtHueXiJXhdBr57186sXa+LTq8i36EjEpHw2vR454tTRQGHVYfHbshKSS1wm3BYtERicpbw1KBT89MvncbGZSU8+85JfrsoCuQ5jBw4NpNFnfmPxw/ML8bSEegncO+zRzDpNXTUuFCLAoWOkwptRUm//wdpYM1VLpxWLd+7+/1MAND+nimGJoJ844YV2PSLpeCfG4Lyp0an/R/DzEzoL95M/f8aPqhuXsRHF3+2e62Cidl04qHdoqPAYUD7R7xedakgytw4giiiWAtIiGn+plaJIsyNoaQkBHsBcVU6zlmnhBH9w8jxCCpHATFDPnJuYzEDGRj3x5iajeCyGSh06vmwjdxESua599J0gG37R7CatJy5vBSDVsWyGjdKIkjKN4IgCKicRaBJB6+IqQip2VEUKYHGVURKY+Ng9wg/eSJ7W14UBe64eSVjMxGc9rRPdZ7DyKFjk9SWutjTOc7K5kKm/FEcFj1D43PYrQY0aoFEUmbCF8Go11CcZyYUiVOcZyEUSTLhi6LRiHjsegqcaWGex6phdDqKoigUuI0EIhIajZrZQBRREIknUziteiLxJIlEin9+JFsYKgjwD7esId8ExvAoUnAGtc1N2FTI8KxMOJbAatQxMRvBYdGh06jQalSIooCUlBi4dBE2AAAgAElEQVSbSZ9rgVNHLAmHj/nYUg+SbxRBpUGwF/D6MTldgAsCHrsBBQhHkvQO+7n5480oCkz7o2mRqDs9L8amwlkOIifw9etXcP/zRzltaRHJpIxGI/L2vhGu3lzP0f4pljcWMjETwWrWoRJgZi6GSgUFbgtj02EMOjUeh4GZuSh2kw6ZdEy7KAjkOQ2Y9Wp+v60/J1imNN/CX1+5lLlAnIdf7mJyNsKZHaW0Vrvwh5M8u62P1c0FCKKAJKVDXT57SSt7uiZY3pDPlD+K06qnb8RPdbGD59/p42OnVTPhC2MxaYnEksgphdlQbD4efgCLScMVm+pwWvW8sLOLC9fUMzIVRhAEClxGtu3oRzTq6Kj3pmk+SZl8V3pnYFVzIe8eHKO5ykVSkhGAl3f08/XrV5BIyjzxRi9dA7Msrcvj3DXlhKJJNKKAqBKZmo1it+gw6dRIiozZqCUSlZiY96522PQkkknufOooS6rdGHSq+fTGMEtq3Ow6OsH5ayuYDcaRFQW3zcDvXu/hwvWV+INxdFoVsUQKh1XPQy8c5bOXtmFQw5gvxlw4Tr7LhNeqZXAqjF6nIZqQmPHH8DgM6DQCiYSC3aplcjbGtD+KzazDbdMjiiJb9wyRSMpsPziG06bnjGUlGPQqXnpvICtYBuCiDVXEEymefzf7XlcV2/j6NctIphQm/dH5HRcDVr0alQr6J6P89rVuBseDtNflsWVNOYFQPGcxBPDVazqoL1qYzvafweLzOg1RFHC5cgOwTmBxObOIRSziIwWVCg4NzPHT3+zNdEg/tr6Sc1aVYFAtrMjXx6eYffpHSP60I4C2sAbrObcCAoFX/oPEcLrjpLK4cV58O6g0hN/9DZHO7QCIOiOei/6GiLVq4ZPSwq5D0/zqqYPIcppves2WBtYtKVjwR1itEjk64MMfjLG8MZ9wNMmDLxzl5otaIDJF5LmfIM+mU+hEdynGzZ9HpdYQeu1OUkNp8ZXKbMd64e3ojbmiL6tJi8moZbJvlp89dgBFSXd+b72klRKvGX/Qwbfv3E5q/lwv31RHk9tIz3CA+547khE8rmstZGN7MeGYxD89vCcT+9xY4eL68xuxGVT80yMHGJxIP4wL3Ca+dHkrCVnh1Z1DmS6v1aTly1ctQ07lNkaMeg35ZgVV7zbG33gYUEAQcZ19IyU1azjYE59PKEzf64s2VLFxaRG+UIIfPbArE+e+ZkkBl2+sZEt1gsnH/4VUMM0l1xZUc9am69lh9PDEG728Os95znMYuOLsOmQZHn2tK9NVNxs0fPWaZeh1uXdOr1VhM2lZu6SAR17qRFbSXepLzqylwGEglXLz7V9tzwgez11bzqblJQSjEt+/ewfB+WjuZQ15fPLsOuIJmX95dG+mS15RYOWzl7bisOYKHp0WHRqVyNY9w7hseqqKbOzpmqClykW+RUtdmYP75y0g1SqBq7c0YDNpKPJY+Nad2zPz8qpz6nFYNZy5vIzv3LWd+Hzn/qzlJZyzqgy3w8hdzxyio8FLJJbk1Z2DXHF2Hecsr+XHD+3NWPAV55m57dJWBAEeeKEzI9izm3V8+ep2YgkZm1mb6ebqtSquO68RnVpkb9cU8YTM2tYijo/4GZoIsbTWxsFjQf7tsX2ZXZrLzqph7ZJCZvwxfvTg7sy8PK2tiPPXV3D+2goeeqkzw8OvK3Wwvq2QC9ZV8osnDjAwnp6X+S4jn798KWpR4Om3+tjTNZk1L7UiPL2tP1P0atUif3PVMsrzDGw/Os19zx3J3OubLmxhRb2HruE5fvLI3sy8vPC0Ss5aXsKuIxOkZIWVzfkEwgnufe4It13aisOaS+cw6TUY9bk7YR6HEUlWePiVbt6cF/Wa9Gr+/voVuC06jhyfYV1rIXkbjBw6Ns1cMI5Rr84RRAMYFhB/LuK/Hn96msMiFrGIRfwvxmxE4s6nD2VxeZ95u4+xmVwLPEh3JGJH3swU2gCJ0R5Sw4dITfRkCm2AVHCa6IFXwTeYKbQB5HiE2TceRi8s/B4T03HufuYQ+U4jl51VQ1l+Op57cgF+KoCIwOZV5fgCcV7eMcA7B0axWXQ0lDtIdL2bKbQB5OlBksd3I/j6SQ0dQm33os0rIxWaI7TrWcrMcaoKskWV12/MJxBO8ugrXZmHb0pW+PUzh5gNxrnz6UMZKoKiwKOvdJFMKTz3Tl+Wrd22/aMoKDy37Xim0AY4cnwGFJldXdOZQhvSVmbbDo5j0KoyhTakfbOffLMXi0lLTYk961w/fnoVxsg4s28+QsY6RpHxvXYfRv8wv37mUFYM+ZNvHENWFB544Wim0AZ498AYQ9NRgvtfzxTaAImxXuIj3ciykhGbQTqCvG94jum5CDsPT1BX6mBdayGxZIpHXu6iyGOiudKVda6XnFGDosBjr/fisOo5vb0Il03PE1t7kBSFO58+lGVh+Pw7/UzPxfntq92ZQhtg99FJZFlh24GRLDrK8bEAe7umaK5yYzefLLjVKpEL1lfSPxbgrb0jbD80zovbB+gfC3Lf80cxWfU8u+04N32sibv+/ixWNXl57LUekpLC3b8/nNn9VRR4+KVOYvH0ePwUisyr7w8RiCR4+s1jHB8N8PKOAbbtH2V35yQ2o5pdRyYyhTbA8GSIXUcnmJmLcejYDF6nkfICK4FwnGfe7qPQZcxyf4klUjz7dh+zoSQPv9zFwWPT8+4ofu7+/WFm5mR+/fTBLLvK377agwDc99wRklI6xdNp1fPWvhGC4SQH+6az7AK7BmeRFTjQO50ptAHGZyK8e2AURVEyhTak5+Vjr3cjikJWdzkhydz59EGmgxL3P380QzGSFbjn2cP4wgnufCp7Xj79Vh+zgQQXrK9kcjbCS9sHeO/gGHkOA06rnrNXlaFRi5TmWyhwm7AYNTSWuyjLt2A1ndR3aNQia1sK8AXjmUIbIByTuP+FTuaiSX7zSje/eOIg371rB0+8cYx/e3w/TquOzavKs+brhvYiCp1/PChApRIRxY9+CuSfE4ud7UUsYhEfKQQjyQWFZbOBOOTlbvOpSBEdOpIznhjrRW3PNcGODx9B586Nd09MDqBKRkCd+/CaCyf46rXLGZoIcrhvhrWthXyqxMFsMEahPbejFZdSvLy9n6s31xOJSRkrOatJQ2S8M+d4Zbwb0WoneNoX2TEiMhdTWLdOTdHENkyz3Xy2KcDI0kqCCYEiYxxnzyP0GW/N6XJFYhKBeUeMrNdXIJ5IMTQR4oPwB+MLejLnOU30DueO9wz5uXB9Zc748ZEAo9NhqovtrGjMJ5aQMBk07Dg0znkFkImoO3FOUgI5MregEDIuyQx8wAoOwB9KEB8/ljOemBzAUNGRM350wEdLtZu/vW45B3qnmZmL8pmLWhifDpNIyqxrK+S09mICoTgeh5HOfh8zgRjfv7yE/MgxEiO70GyoZ8pURSgq5fhEQ3penlrkn4BWo6J3KPf69Y/O0VTu4ItXLmV0OkxSkinJM/PugRHKCu05xw+OB4gnU/zg1rXs7ZriF48fpLXGzcdOq8YfimcV1JAuGCOxZIbbeyrmgokF77XTZqRnKNenvHdojtpSB9ef38jgRJBwNMnp7cV0DviIS6mc40emw8wGYznzMhqXmAsnshZPJxCXZLyutJNJ9+AstSV2PA4jKVmme2A253ijTrXgZ+gZ8rNpRUnO+PHRANFE7vtO+2NpZ6EP0FSTkkwonFxQiOsLxnhl5wBXb24gGpfQakQiMYmxqRDhWIKvXN3Btv0j6LUqVrcUMBuKsrd7mnPXlANpga9Oq+LlHQNccXZdzuv3DvuJJnKv61woQSiSZMuqMpoqnUz4ouQ5DJTkmdF8SIotgCQr9E+EeHv/KG6bntXNBXis2kWHt/8HLBbbi1jEIj5ScFp0FHnMWV02QWBBD12AFCoMtatIjPdljevKl7BQM8dY3YHKlmsJYihvRtJa0+TsD6DQbeK+546wez64YtfRCerKHNxyccuC56TXihR7Ldz//FFUooA8b1W4psWLqXw5DB3NOl5VtpQxYw3fffRApnP61kH46qXn0eaIoH7lbsoARDXIEtqSerxOA2qVkNUpdFr1mT+nFoZqlYDZoKWl0sHBvuwCpsCpp63Ww0uniBEBBieCtNW4M5/5BNrrPEz6cx0T2mrdeJ1G/mM+qe/EuVUUWlFZvAhqLYp0srAWDWZEqxuvM5TV/RUFsBg0LKn2ZHUpATx2A8aKNuamhrKvd3EdoWhucbS0Lg+bWcf37tqeKfS2Hxrnxo81YTNq+OWTB1GU9P2KJWSKPGYuX5tH/LUnmRtI03mix/ZgK20keeaXKJkP6TkBQQCvy0B7nYe3941mvXc0LtHRkEf3YPb1bq3xMBtO8OMHd6NVgUqlIppIccH6Sjz23IVeS5Ubo07NHY+8nxFCvn90gg3txVy8oQqrSZu1YNGqRWxmLbUl9hwOsduuZ2mth9d2ZV+/oYkAS2s9OT7bbbUetGqRh1/uyhT12w+N81cXt6DX5BZ59WUOPA5jjk+53azDbdfjtuuZPmU3SCUKWAxqyvMtPPTSyUWo1aTl7z61nI5GL8+8lf29DsVSLKl2s/MDwt32ujzC0dws2dYaD2ZjLpWjLN+Cx2FAP8/vPgGTQZPWiXzAp1wU0vHq+U4TD7yQ/b3+zk2rCMW0/MO9OzPHv75riK9fv4L6Ugc/f2x/+rdISHvNf2JDNZoFNCjL6r1YDGpEgSxBb4HLiNWoQasSaSyx01iSuyj7IAQBjgz4+emjJzUUL24f4Hs3r8Jp+nAnpUUsjEWf7UX8r8Oib+dfAAQIRCUicQn1fzGZTSMK1JanHSrC0SQGnZqbLmympsiGCGiEJJqYDzVJZJUeRQGt3YUSmkHyjYIgYl66CU3tWpTgJCqdkcTUEKCgL29BV1CJUNSI1mgmPtINiow2rwzHGdcRVS38EBv3R3O8g2fmYiyr9y5oASilIBKXWFNn49pVZja1OikqKSClCHgKCyA6h+wbBgQ0DaehbdrIe71h9vVkFzvjcxLNzZXYnXYSI12QSqJxFaFffx2K0UFNqYODx2ZISjJOq57bLm3FblbRWOnh4LEZovF0d/mWi5dQ4VJTrffROS0QCCfRaVRcvzGfRkcMZ2ERE74wU7NRRFFgy+oKlta6MWgEEiklU2Cuas5n3ZJ8vC4zgiDQM+RHUdJc2svOrCGZlKkqtnOk30dSkilwm/jUeY24zGqMJbXEBg6jSAlUJjvuLZ9hQl+aFnBOBInEJIx6NZdvqsNjN1Kab2FgPIg/FEejFrnsrBry7AYKi/KQAlNI/gkQRCytZ6CtXIba6iA53xFXgPb6PM5eWcbx0TneO5RdmA1NBFm9pJCKQhuH+2aIJdKWgH91UQseaZTAu49n38+5KVx17VTUVWbNyxsuaCLfZQIE5sJxZgNx1CqBc9dW0FzpYsofRRQExqbDCAKsayvEYzfQXOWkqsjKOasrWNtaRHudh/oyBy6bHqdNT2f/LLKsUJpv4frzmxiZDrNt3yibVpaxtC6PPIeBdw+MsrqlgKI8C8dH54glUliMacGjUafGaTcwPh0mGEmi06q4/Kxa9Do1zVVuhqeCTPtjqESBC9ZVsqTGjZRKR48PTYYQhDRHfkm1m5GpMLuOTmRdD58/xsqWApxWPd0Ds6RkheI8M5tWlmE3a2iu8nDo2DSJ+Xn52Uta0apF2us8NFa6OH1pMSuavJzWVoTJoOEXTxygvT6PtUsKqSmxMzQRorrEjlolkkymvddFUeCMjlJsJg1l+VaSkpyhOK1o9HJ6exFGrRqjQUvPUJpuUlNi54pNtahEFQ3lDlY3F7C2tYglNW7OWFaCTgNNVR4OHpsmnkxhN+u47dJWbEYNS2o8HO6bIRyTMOjU3PzxFmoKrVSX2Dk2MsfMXAy1SuTqzXUsqXLx4MudTPpO0tBkBSxGLatbvCQlheOjc8gKLK3zcN7aCmwGDQ6bgSPHfciyQlWRjRvOb8Bq0FBZYmd/zzRSKu0h/8XL27Ea/rgLUtaclRV+/viBrBAhKZX+fhad0rhYfF6n8cd8thfdSBbxvw6L6uaPNmKSzCvvD/HM230oisKZy0u5cF3Ff3mccDCRYmYuhsWoId9uIJlMoU/4CL5xL7H+AwgaPfYNV0HFKiQ0aEgiRmdAUCEZXCiCCmX/08QHDmCoXApAfOwYcjyC6fyvoiCijYyiJGJgziMqfrgSvX8qzHfv2pEz/rfXdVCzQLCNJCtIM4Oo9z1B9Ph+BI0O66qPM+nuwO3xIAgSqblJEAQ01jwQVTy/c5hHT7Fkg7Rl2qfOb+SJ17q4cb0NnRKnL6TnFy8P871Pp+OqS7wWgtEkVqOWkakAS6s9+IJxEimFUCSJSa9BqxFwqqMEH/4a1KwnYKlAp8TQd72Idf2VfOtliYtOr8Rk1KISRQ71TrF2SRFPvXWM6iIzZfk2QGFsOsyu7mluu7QVKSEx4U8H0Xjsekamw4SjSV7e3s/566rmo7glHn6pk19+qpBpdQF5oh85EkA0OZhKGZlLqPne3TvY0F6C1aQlKcm8uWeYr39qOUf6Z7AYdIiigEolEE1I6NQq8pwG8rURdLEZBJWaWZWLOUkLCJj1anyhOIqs4LLpGRwP4QvGufOpg1nX1WHR8c0bV/Lgi51csL6SeCKFWiXwH08e4F8uczP9u3/IuaeuT3yNbz4X5NZL25gNxjEbNOzrmqAoz8r9LxyhrsxJsceMrMD2g2P8zdXt3P3MYURBoK7cyf/P3nsHxnHX6f+vmdneq3qXLFmSbbn32E5PHKdX0iENCHdw1NBCAnwhAe5HDo5cIMmlAoGE9IZTncRxbMe9yLZkS1av2/vuzPz+WHnt9Srh4CBHQM+fn92VZmc+u/vM+/08zxtVZUfHGGUeM+evquO19/t5/p1DZGSFxTNKOHNJLV6nHlVWCUYzxFMZvA4DsYRMIJJg2BfnyTc7CYSTVBRZOHNJDVUlVn740GZOnFeJ2aAlmZZ5Y0svn790NoIgsK/bhyAIE50hM2ajBoNOi0aCRFJGq5WQZZlit5kHn9+Lx2FkerUrWxXt9hGNpagutfHQC/mdmMpiK7dcPZ/OvgADY1FQs4Om2hq9xOJpkhkZqzE7tMWok/CH43gcJlJphfuf3UP/aASHVc/157RSVWJl2/5R3t05yP4ePyaDhnNW1FNTYuHx1zpxO4zUldlQVdiyb4RZDR4qiy24bAYEQUBVVTSSwIHeIK21TgLRNDqNSCajIIkCGUWh1G2mozerHQ/H0tSU2rjp/JlE42le2XSYC09sIDQxWv6xtfs5e3kd1V4z0bTMeDCJ1aTFa9PnctAzioo/kkKnFbGbtIiSwI9+va0g5nH1khouO7mBdEZhJJREVhSKHMacJEEQBAKxFKm0gtOizxUuRFEgFE8TTWRwmHXo/4KKRlpRufW+jXldI4Cbzp/Joqajnb2p3+ssptJIpjCFKfxdoaMvyFPHZAq/sqmH6hIry1qL/6pdKKtOwurNGgPTaRlJUIi9/yyJ7qxMQU0n8L9yP55LK8jYa0mjBWNJ9sUqoKoYaucQeu9pkgOdub/rPv/LpJTsj1fGUAb/g5kQXqeBGXUudh86+mOazQ6eXNpi1AqkDr1FpGvHxLEmCb79O8rPryCJF1XVINrKAJBVQIbGSmeBLOS0xdU4LToODUb4/ENH5QiXndqI3ahherWLvtEI/nASAYGWajfxpMwPH9nCqP9olU2nEfnpvy1HP+csEhufwHrkAYMF1VHO6qUCP33saAyeRhJoa/KyfHYZP3xoc951/epV8+nsCfD942LITl1YxckLKhkcj+VlJp+5pAaf5OWr92w+Rkvej8Oi587PLmX+9GJe3tB9zLk2YjZq2HPIx3vHVaS//alFbG4f4Ylj8svhEP96yWy0qsrXHt+R9/xPnNZEa527QCpw9gl1uB16ugdD3HbvUaPsSfMqkG1l6Msbs12PI+evtAEc5dSUDfGl/zia++y06vna1fM5a1kdDz5/1Deg10pEY2lOXVjNT369JWcmFQS44MQGOvtCPPXm0T25YdcQJW4Ly2aW8OWfv5P3HuY3F3HRSY38+NGtOcNe30iE59/p4pZr51Nf7uCFY3Kfq4qtuB1GfvXUrgLyd9sNi1m/s5+XN+RLhm791EJWza3kjoc38/w7R//W169ZgFGvQSOJeWbB0xdXMxZM5OVvQ5agX7umhW/+17t5WnK33cCt1y3iBw8ezS8PhJPc9dh2fvCZpezsHGP/hNwmlsjw2Nr9fOf6RZy5tIb/fHxHTjIiiQJXnDGdsUCc7xxz3QCuPauFYCTFD47blyfNq+T8lXX87Pfbc/u4ezDE/c/u5guXzWUskOCr/7k+9/zmGiclE6ZDs1bCPBEVeezAIY0o4D2SKKOCklE5c0lN3vkWBVjQUkxmIhaxeJIEGlVVsRu1cJx6SFFULHoNlkkSc/6n0EkCF57YwN0Tsi7Ifg/Ul/3lMYH/zJgi21OYwhQ+MkiSWNBSBnh7+wDLZ5Siqh8SVP2/hCYTI3jgvYJ12d8P9tpJX5O0VOC97DtEt69FTcYwzzkN2d0AgE4Og68HNRlDcpWTMpeiqJM79gdGY3zqjHp0YQNKaBTR4kJ2VNEzEqF1Ev2kNh0k2Pl+wXp65DBSyUwM4V7S470ICGg9lcTMlXQPBrj2rFb2dI0TTaRpa/DS3jXO/EYPt12/iN6RKLFkmjK3mVKPAUWBlCIjKyqyopKRFVKyQjiaziPakE1f6B2KUNd4AlaHh9TetxA9VRhaVuCT7DisSb593SJ6hkJoNRK1ZTZEVA6ORvj6NQt5ZdNhFEXl1IVVDPuilBdZC97b5vZhpte6uPmi2WzdN0zPcJiFrSXoNCLD/kSBaTMQSTIy6uPsE+qoLbOzZd8wdeV2ls4sY9Qfn3SfjYfibD5Oqwuw59A4566o5Y6bl9M7HEZRFCqKrIyPhhnzx7j9xsX0DUdJpDOUeczIGYUxf5KvXzOfwbEYwWiKEpeJYreR3UNRqk76IoP+FGPBBG67gQqnjkNBlbZ6N0tnljLki2E16fA6DPQNR2mucXDbDYvpH41g0GqoKLJQWWRg2/4RvnT5XN7Y0otGI7FqbjkjYxF6RwvNi5v3DrFsVglnLKnBbTOQkRX0OonXNvUwFojnkV2AwfEoY/44deV2astsdPQGqC2zYTPriMbTBUQbsqkdw+MRvnb1fMaDCXRaCb1WwmDQ0L5/hC9fMY83t/YiACvnVdLZF2DNslr+36eX0jsaJpVWqPRa6Or3MzBaaLbdfXCcEV+cC1bWU+QyE46lcFr17Ov2MRaIF1RZM7LCsD9WoM0HGByLsWRGMd+/aSl9o2E0kkhVsZVip4FXNx0ueP57ewY5Y1E1X7hsDumJ6Zpuu4E/buginEhz3dmtGA1aovE0bruBDbsHicRT3HTBTLa0j7Czc4zZ07zMnV6EXhKJKzKDo3GGfDHsFh3lXguODxke01Rh48tXzuO1TT3odRKnLqqmutg8qQfkL0U8LdM7GmMsGMdtM1DhNWP+gI6iqkJbvZuvXDGXtRt78DqNnDy/Cq/NwF9TEJGSFfrHYgQiSbxOI6UOI9I/YPLJFNmewhSm8JFBUVTqK+y8vSPfDNZY7UAQ/rZyL0XSo/VWZ7XLx0A1frBZSEUgYa1Gf+JNQDb5AEAvhwi9+DNSgxPVRUHEc+HXSLoKEwIAiu0ahL1rkbc+BYAM0Ho6lW1nT/p8WWNE66lEjuanJmjsXrTBLkb+8GOUZJZ4iCYbRRd8CZvZwi+e2EFtmQ2jXsNv1+7LZnQnM9z77B72TyQzCAJ84bI5NFY7eGbdIdZtPRofdvnpTSxuKSmo5EI223ffSJT/ejJJQ8Xp+AaSWDuH+fS5LmKJDHc/sSNnzix2mfjMBbOYVuHgJ7/ZwtzGIkRR4Bd/2MFXrshO8DselUUWzHoNP3hwE7MaPNSX23n2rUMIAnztstYC05dWI2I26fj2/RuZ2+TlhvNmsLNjlG/813ru+uIyKoutBSkfVqOO6lJbXuwbQEWxlYyscMfDm3NJNka9hq9fswCNJPKLJ3bSM/EaSRT40uXzECX49UsH2NJ+lOhdf+4MTppbxmOvdeYZ89Ysr+WspdX0j0b46e+OmuDmNHm5/PQm/KEkdz78fi7ZorLYypcun0sskeE/fr+dE+dWkJEVfvLrLVxzZjNVJYXVxboyOzpJpKPXz8sTKTBHcp8dk/gCTAYNVrOOl97twmjQUFVsY+OeIXyhBAtbSvA6jQU3XXazjtVL67jzkS058l7qNvO1a+aTSivc9dstrJyXTfT4/36zhXNPaGDIF+Onj21laGKMuFYjcss18wtSUCC7b4pdRt5vH+a3x0iiLjmlEatZh1GvKbjpspuzhugj5s8jcFr1dA9FuOOhzbn95nUa+dLlc6kvd7B+52De85sqnRS7zfziiR25v6WRBL58xTwsRi3vt4+wveNoXOWN58/EZtbx/NtdvLdniHKvhZfe6yaeynDByjq2bh/m/mf35J6/sKWYK05vxqqfXNLhi6S558mdLJ1ZSjIt84vfb+dbn1yIYxJz5l8CFXh1Sx9PvXm0q3jGkhrOX147qdkSsv6X5koHM2pdoIIsK39Vop1RVJ548yCvbj5quP3U2a2cMKPkr/p//h4wlbM9hSlM4SODqqrMbvBS7j2qbXNZ9ayaU4E8yUCTvyZiiobYjPMRtEfbsWLlTEbE4j/52kxGyWsDq+M9R4k2gKoQfOMhdOrkudkljMO2Z/IX9/yRYnV00ufHFR3Ghech6I72h/XljaSdNUT2vJ0j2gBKLETs4HZsZh21ZTa6BkLs7fJh0GlY2FJMz3AkR7QhW7F6+MV2EgmZdVv7aaywcuZcLxVeM4+/1kEiI3PjeTMRjvn9vfSURnQagYdebMeo1+K0GXDa9Ozv8eOPptcmc80AACAASURBVFm3tS8vP3rYF2PYH+P9/SPEEzKxZIZoIkMqrfDWtn5m1rmZWefkMxfO5CtXzmNmvZvzVjZgM+lY3lbGzs4xnnuni2AkyTVntaBqtFxxcn734ZNnNKCIej65poX1Owb4t5++xQPPt3PG4mq0ooYzl9SgO0arOmuaB51W5PRF1RS7TCydVcqC5mJqy2w01zjZtHckLzIynsywdmMPg2PRHNGGbB75717dz+BoLI9oQzajun8sxvNv5ydgvLC+i5FAsmCk/bb9o4z6subZYyPkeofDdPQFaKx2YjVqeWVTD29s6aPYaabUY8Fp1VNVcrQ7YDPrmDPdSzQpc/CYuEVFhWfeOojNpOOUhVW59SNyFINO5KrVzQQjKXYdHGM8mODCE6eh1Qpcs7qF6dUOrju7ldVLa1g6qxS7RcdT6w7mVckHx6PsOeRjYWspTpuR1zb38trmXtx2I4tnFdHR488RbchG4z315kHqymwsmVGaW9dIAteuaSUUTfH6cWknT77RgUYSuXp1c96+XLO8FodZy5rltWiPudZzmryUec08+9ahvBu7UX+cvV0+FrV6KfMczZ532wysmFNGz3A4j7RnZJXHX+8AFbZ3jHLG4mquO7uV6dUOfvPyPmIJmRc3dLO8rYzVy2pYOquEZ986yOB4nN/8Mf+mftPeYQbHIxPnXyCjqBxphAkivLShm0gszdqNPazb2o8vnGRH51je+50MigApWUX8kAg/gMFAnGfW5cdevryhm8HA5LMBjoWcUZDlv37XcTSYyCPaAI+81E7gH9BwOVXZnsIUpvCRwmbU8I2r5zMwHkWURIrshg9sZf41kUgrOLwejGs+lx3VrdOjLaqhI/Hnx1ipycI2fiY4hqCkQSoUcavJaEFONICaiEChooKMrHLnC0E+f+ZXMSVGQNLTGbOS8umZ5i+UQaipBHu7xplW6WTJzFIURUVRssN8TltUXfB8fyhBWlb45rmllAy9gzjayRnT2+g0zyYcS9NW5+SOzy5jLBDHYdFT5DAQiadY1FqCIAhs3TeC12XkunNmoCLkkakj8AUT6DUSl57ayDs7BlAUlYtPmoYvnECRM5y9ooGn3uwkFE1z8oJKZEWhdzROeZGZL35iLtFEGodFzzNvdXL5adM5sdlMa2Ur46EkXrsBt1lgICVjMWi4/YYlDPliOKw6nFYdqYzK7187wAUnTUNVVDSSyOHhEEPjMaLxFBee2MDz73Rh0GdTNjp6A4z4Ct/DaCBKJG4vWB8LxIklCmPiYokMyZTC8Z58VYVoPDVptFw0kWFsEsITjqbY1TnKqnmV6HUSAhCJpeno8xOOpmmpdbO8rQxFzd4MvvhON9euaZn0WNOKwsw6N9MqHQQnMsHDsRTjwRTJVIbvXL+YUX8Ml92ALxgnlsggitBc6+GFd7so9Vg4Z3ktwUiqoNoNEAgnWDcU5HMXt+ELJRAEAYdVz9Y9o6QnCSgY9ceJp2QuPKmBlXPLicTTlLjNBMIxIrFC0piRVXyhBFv2jfDVK+cTiGRNh+3dPuJphcdf6+Cik6ahTFzrrsEg6YzM6CQRk2PBOF6HgW9es4CB8SiKolLuMWPSSZNmto8F4iiqyjevXcjLG7vZ3jHKwpYSVi+tJZWW+d5NS3h1cw8PPr+X1joXt9+4hERaLqjAA0TjaeJphff3jfDyxsMUOY1cdOI0yj1G+iaR1QyNxxBFYdJChCjCoeEoT77ZyXgwwaq55SxuLcH6ATrtWCJTsC+PHNP/FWKTnKOshEcp0KF/3DFFtqcwhSl85DBqRepLrB+pk91j05J+fz2jG546uihqqL/0myQoJFQfBslZBgjkJhoC5hkryWgtk2ssbcVo7F4ywaOVbNFkA1sxKUWlZyRC92AIl81AfZkNh0lLW6OXzz1wpHoeBXx898ZSzNMXk+jJH8KjL66mWXJzx0P55q5LTmmkzGMukGAsnFGCywiGbfeiRHzZQw6spam8F8PMzyMg4LXq8VqPdgFcNh2ZjMLaiXHmg+NR9nf7uf3GxZwwp5zfv5qfhFJXZicly/z7r7fm1roHQ3z+0tkc6Atxx8Pv55KiHn6xnStOb2JecxFf+dmuvCrv7Gle6qwJgk//O8bAMBUT66niGqrP+iK3P9+ZN6REr5P45VdWMqPOw2PHxC0KApwyv4qBsWie6euOh9/n69cswGrS8fqWvrz3sHRmGeWTDEJa1lZGqcdSkAc9vdqJ06rDbTcwHjza5XBa9ZS4zbTUuvK00BpJpMxjZnlbGS8dZzqsKrai1Yh5UgSAf71kNjWlEj9+dEve+idOa0IQ1YJrvaytDEkUeOD5vXmDVmY2uJnXVMQvn9rJoy8fPU9Wk5a7vrSClzcc5o2J8zE0HqO9a5xbr1vM8tlleVIEyEbk+cPJAtPhZy+clTf98AiWt5XhtBi46c7X8uQkJ8+v5MylNZiN2jwSWOYx43WaGPHHuPORo14Go17D6qU1TK925UVrigJcuKqe5W1lPHZcQk9rrZtIJJP7DjoW1ZMkAy2bVY6sqPz0sa3EJrLWn337EMtmlXLJKY3c8fD7uTztYV+Mzr4gX75iXkFOuU4jUlls5Z1dA/x2bfaYBsei7Dk0zg8+vZRTFlRxsC8/9WZuU9EHdvz6xuP84MHNuS7Db9ceIJGSOW9ZNXKhQodipwmvw8joMTd2douOkg8waX8UKHIYC6RB1SU2nJPInj7u+Eii/+68807++Mc/0t/fz3PPPUdjYyMAXV1d3HLLLQQCARwOB3feeSc1NTV/8rE/B1PRfx8/TEUJfTgSGYWxYAKtRsRj0yP9qT7j3yG0JBHDI2i1Aim9m5Twty9j6NM+/E98H3PTIkSDGUGUiHftwti4kEz9qg98XUZRGZuI3fLYDeglEREZMTzMcFQllpQpsorYHDaS4uRO/eFQnApxHMYOoUSDiEYrYlE9Q0IJHX0Bhv0xdBoJURToGwlz0YkNSIJASlEZHo9h0Ek4bXosOg3W9AipjEwqEkIQRLRmK1qtloDkYsgXJxpPk8oo2C1anFYD/lACm0VHJJ4hGkvjcRrRCFCU7Mb3RGFEnefKH5K2lDIUTDIeTGC36ilxSMSTInf9fivXnTMLfzCB2aRlYDSC2aBlcDxGPJnmpXe7MRm0XHpqIxajho17hjlvVT3+0EScnsPAr1/ex/K2csqLzMTimWxGtdvEg8/v5KbzZyMrCoFwmnAsRZHTiEmnwRHYi+qsRpv0I0f9aCwuoloD2rAPqXw6PaMJRgMJ7GYdxS49vcPZKvfBviC+UBKDXkOF10JtqZkf/2YbV53ZQjiaQpJEBFS2HxjjzKXVyIrKiC+OrCiUuE2kMiqSIBBJpInEUiSSMnarDqdFh1kPPaMpHnphL/2jEeY0FXHJyY0kkylEScOvX25nf4+faRUOrlzdjKKAxaghkcrgDyWxmHSYDBpSqRRIKmadkWFfDINewuMw0jscxus0opUkhn3ZCmeR04CKwOGBEBqNyNB4LLsvHUZ0koDNrMNlMzIWShCLpyl2m5AkheHxFD887kYM4Ls3LqamSEf/uMx4OIHTqsfr1BEIZfj63esLpiPefFEb1SVWXt+SlYpYjFo+cVoTbQ1eQvFk1sw6kRVd4jKhlQT6xqLotBKRWJpUWsFm1qERBdxOA9F4mkRKJhJLU+Qy8sp7hzl5UTWJZIaHXminayBIS62LK89oRpYzlDglxsIiY8E4DouOIruW0WAGUQCtVmLEF8Nk1OKw6FGUbIV0cCzKaCCOViNS4jLhtOkoc5oJJTMMj8dQVJVStwWzViAN7Ony8ehL+whFU5y8oJJTFlTROxzm/X3DLJtVRiIpo9OK/OaP+7jmrBaeffsQZy2rJZGUMeglnll3kItPbsRh1dHRFyQwEfNYU2rFYzPwrV9tYOmsMswGLZIksP3AKCfNq6Slxkk0nsQXTiKJInaLFpvJgFYU8r6DvHYDOknkvX2j/Oq4SEqzQcMPP7sMywd0CgcDCR55uZ39h/00lDu4anUzVR4jyv9CIfK/+b0WBBjwJ/jv5/ZwaCDI7GlerjxjOs6/kk79o8TfRfTfySefzNVXX80VV1yRt/6d73yHyy+/nHPPPZdnnnmGW2+9lYcffvhPPjaFKfyzwh9L85PfbGFwLNseXTW3nItPbMCo/dvLMP5a0GeCRN54gERXNipOV1qP/fSbSehcf9P/q4paHMsuIrD+CeRwtrpobl2Oxu6hsJmZRSwl88gf97NxIsGiusTKFy6dg0Wj8NzWMM9uyJoLXTYD37xyFs4PSMVymjRkRsYJv/5odgqipMFy8g1YK4uzxqVNPYRjaUQBzlxay2ggjsmg467HtjIy0bZfMbucc1fWo0Ug/Or9yEPZqrdU3orlpGtJZFK8/F53Lu6u1GPm85e24bTqeX1rNpNZVbPVrC9dPhdFnOQHTRCRDAa29wT5+e+3k5jIj77mrBbmNHq4enUrdz68mWAkhSDAmmW1nDC7HLfDyBOvd7DmhDoSKZmOHj9nLq3h7OV13P/Mbtq7s5rxhgo7N5w7A61G4ql1B3l7e/b8FbtMfP7S2SiqyrqtAzz1ZufEUA8tX7x8Ho7iRujazNCrD4CcQdDo8Jx5I5ppi9nW4eeux7YRT2YQRYErT5/OohYv/miGx17pyE3CPGNJNSXuWq5Z3crdf9iZG7Qzt6mIS06ZRiwh88hL7bkpiDWlNj59wUxESWTd1j5em9CWuu0GvviJueg1OsKxCF+9aj6ptIxRLzEwFsNp1dE/FOGSUxpzFdrx8RjVlRbGA0nuemwb0Xj2Wl98ciNzm7zICvzwoc25quOJ8yo4a1kNGVnl7ie25YyeM+rdXLO6mTKPmcdf72DT3mziSkWRhZsvakOvFXnx3W5e3NANgMOq50uXz53UACeJAmVuE9sPBvjFH3ZMZIWLfOqcVmbXOdDrpFwl9wi0GjGbXpNR+MJlc0ikMhzqD1Jf7kBR4BdP7ORAT7aa21Tt5FPntGI363j6rUO8O2FILHGb+Pwls5EkgQ07h3jm7YOoalZ3/sXL5+I0imzpj3BCWykXnTSNw4MhxgJxFkx3sbUjwM9/v514MoMkCly1upmFzUWMBZPc+egmAuEkggBnLq3htAXVyIrMk2925nTYi1tLOPuEOkZCSR58fg97JroM9eV2bjhvJlqNwIHDfha2lmAxajnYHyAtK3gcBsq9Fv7911tQVLAYtfzLJbNxWLSsnFPBXY9tI51R0GnECeOkhlgiw6MvtU9IcgSuPasFr93Ipac08btXD+T25aq5FThseqLxFD//w+6cP2D2NC/XnjmNtEbLQy/vY/PEta4ptfGFS2ajm2QCp8mYJfAfhFKHgX+7bA6ReAazQYNO4H9FtP+3UNXsMd1y5VySaQWDTvqHNRJ+JO9r/vz5lJaW5q2Nj4+zd+9e1qxZA8CaNWvYu3cvPp/vQx+bwhT+aSHAC+925Yg2wJtb+zk8XKj1+3uFIIDctytHtAFSgwdJdWxA/BvHPQk6I9H9G3NEGyC6550PeQUc6AvmiDbA4aEwb27rYyQQ5dkN/bjtBpqqnPhCCR548QDCB9B2Y8pHeO1/HR03LmeIvHov+qSP594+RDiWbZkratZM53GYePqtzhzRBnhrez89Q2ESnZtzRBtA7t9Dqmc3Hf2RvFzpwbEoL284zLA/wXNvH8plBAcjKR54fi9RazVC5UwkiwNT02LQGRFnnEZ/wsw9T+7MpZFkZJUHnttDJJ7hwef3EkumOH9VPdOrnTz3The+UJJXNx1m+4FRnnyjkxfXd/H6lj5cNi07D47liDZAZ1+Qze3D9I9GckQbsu33Z946iF4j8oc3OnMyiHAszb1P70ITHmD8lSzRBlAzKcb+eB/qaDf3PLmTZFqeqAKLPPxSO6Ik8uuX2/GFEtkR7QYNL284TDKdYd3WvryR6Vv3jzAwGqW925c3brx7MMT6nQOkM0qOaEN28ufvXz1AMJriZ7/bzr/++5t8+Wdvc/OP3+RXT+0CBO5+ahffvX8jX/vPd/ju/Rv5r6d3kU4L3PfM7pw8QlHhd68eQJJEHn+9I6+9/8aWPgbHY7y3eygvUWX3wXF2HxwnEk/miDZkc7Nff7+XIV8sR7Qhm0X9yIvtuOxGmqqc6LUSRc5stNopC6uyCRhP7cxJOTKywv3P7MYflbnwxGl5e7jca6HEbeK5d7p4ZXMvP350Cz///Q5eWN+N1SSxbf9IjmgD7D/sZ8+hUXpHojmiDVlJygvvdoOq8vRbB3P7MhRN8cBzexgJZbj36T089OI+fvTI+/zu1QPc89Qu+saS3PPkzpzkQFZUHnphL5F4hkdebM+ZW1UVXlzfjT+c4I33e/MMj+/tGWLIF2XXwbEc0QY42B9k4+4hxgIJXn7vMC9v6OaJ1zvYtn+UP7zeQTqj8vhrHbl9GYmneeD5PaiI3PvM7pyUKJVRuPeZ3SCI/Pzx7bmbFUVR+e/n9hBLpXl312COaAO8ubWPTEZl3fbBPCPu9o5R2nuC7OsN5Ij2kX25bns/DeU2PI58f8ilpzRinoSEHwst4DRmifbfCyRBwPQPTLTh/1CzPTg4SHFxMZKUrchJkkRRURGDg4OoqvqBj7lcf17168PK+lP4+4XXO4lr7J8cgUgyjwwcQd9ohBPmVEzyir9PDL/VXrCW6NpO2QkXIUh/u6+k0OgQyb79BevxgI+i5sn3W8dx7n2AbQdGaauzc8vV8+kZDuMLJli9rIb9h31kZIWSksK/NbL3QHbS5LFQMmQiExP0jkM6I+cliBzB4FiUmZnCBBMhNMzhZKhgvb3bz7RKZ8F610CIaDJDasln6B6McHgoROMJF+Ox6ciEUznynztUFXyhBFec0UQ8KbP74Djzm0u4enULvSPBPEJ9BC6bifau8YL1Q/1B9NrC67z/cIBoslBsOjAWRQ77Qcm/kVFTCZRogOYaF7XldgZGI3gcRlJphVhCRhKzFfm+kTA2sw6DToMkiuztLizaiCIc6Cl8D3u7fKxoKy9YP9AbYDRYmDwzGogTiqYKog1TGQV/KFmQEw2QSiscOFx4TMPjMQ72FR7T/h4/y2eXFay3d/sm1Rx39gVIpDKcsaSacCxN30iYhkonoUgSfyhRUL2WFZXxUIJANMkXLptDZ18Aj92I226gayDEvknOn8dpYs+hwnU5Az1Dhfty/2E/yVShvPPwUJjxYLxA+hmNpwlEkgUGRlXNmuw6+gIcj2RanvRaB8Mp9k1yvvd2j1M7ycCWAz1+FrWWFqwPjccYDxbmlydTMoFwkrFA4f6IJeRJz58vGGfvJJ+VYV+c2CQRidsOjHL56dP5+jUL2X1wDF8oyYx6Ny21LmzmwuE3f2tM/V7/afzDGySnNNsfP0xptj8AAsxuLOLVCYPaEVR6LR+b8yUIoKuaQbR9fd66oW4uvkDib/pZlQQDUkULma6teeuCtegDz19jpbPAuDavqQiTych/Pro1V6F6+b3D3HjeDPQ67aR/S2NxIOiMqKljkhwkDVqLg6riED3HdSdMOg0ttS427MpPHinzmpEjhVGFqq2UWm0hUWitc+NxFOrh6yvsmPU67n92D/smiPLajT2cuqiKNctqsJl1ecRGFAXqymy8t3uYB184as4schr58hXzaKl1FxDJ0UCU1joPW/fn3xw0VDopPSZ27Qiaa50YdYXSlooiC5LNBZImV9kGEPQmJIsTqznBr4+J1Ksrt3PawkrmNZfw0DHH6rIZWDqzmBn17rwKIgBqVvbwznH57zPq3KQn6bNPr3HidRSmzhS7TNjMevQ6Kc/4p9dKuO16St1mBsfzb650WoHmWhfvHxcjWOI2EUu42HUwn5w117joGy7cYy21Lty2wmNqrHai00q8sL6bzglSunZjD6curKJtmgezQUP0GMKtkQTcdgN/eH2U5946RHWplXF/nEgiw7c+uZDWOndeVwKyNwYz6t3sOphfDJDIGt6OR3OtC72msLRaW2bDY89W3o/Vi1tNWR22w6LPM3mKQjYvvKnKmZsgeQQGncSMOnfOvHgEDpuOllp3XmcAshIdg66wttpc68LrLDyvZR4zbrsBnUbMi7006jW4bPpJc8rNeg3Ta1zs6Mj/TLgdRmbUuzl0XC58iceMTiOx9r3jvoOmFxEJx3EaNZwwowRRFLMa9ViK0Y84Nm/q9zqLP6XZlm677bbbPqqDeeihh1izZg1utxtJkrjnnnu47rrrEEURWZb5j//4Dz772c9isVg+8DGj8c8zUsXjqb/qCOgp/O1hNuuJ/QPmbP41UFlipb3bT3CCCJ26sIrFrSVoPkYTt7QWO2pklIwvS2z0FdMxLjiPjPjhc89Tiko8paDViPwl71ZFxFhSTbpn50R0n4B+zllo6hbCZPplskM8wvFMjpw1VNi55ORpdA2GeWtbPuHoGgixeFYFOknAoITRpgJIWi0yGox2G6K7klTXtpzm2HraTYieaTTWediyb4RESkYUBa5e3UxDsZGKUiftXb5clfnk+ZUsaHJhdXtQU3EsDXMwlDeBowTDnFOJZyRkRaVngohVFVs5Z0UdJS4TRr2G/Yd9qGRJ52cumIUgCDz+WgcrZpezsLUEs1HLhp0DnDC7glKPmf2H/aQz2fN9ycmNeJ0mfvHEDj53cRvnraznlAVV7Dvsw+s0MaepiAM9R/fl8rYymms8uGx6RvyxHBFvrnFy1tJaHBYDaVnJSSTKPGauWt1CLJmm2GVib5cPVQWHRc9nLmzDbvdgLiom3rUTFBlBZ8Bz5o3E3dO563fb877j/eEkc5qKePSl9rzBPPFkhvoKBzPrPRzsD+ZkB4tnlLCwtQSvw4QvlMiRs2kVDs5ZUYdeLyIIIgf7s0S12GXiU+e0YtCKlHos7D40hjKhOb75olmY9SLNNS7OWFLD6YurWTG3grZpLuxWLa21HrYdGCWZzlbeLz+9iSKnienVbvZ0jROJpxEEOG1RFbOneSnzWjDoRM5dUc+SGaUUO03MbfKi0UiIksCMOjcz6z3YLTpOXViNw6rFoNfQ0eNHBTwOAzeeN4tILM3Tx3VpugdDnL28lsYqF9sOjJKRs5rjG86bicdhoKnKRSoj01rnochlYlFrdtBNc42LMxdXceriGs5cXM2ClmIEIXtzMDgazclhZtS7OXVRNXaLjnRGpnswuy8riixcfvp0NFoRpyWrhZ47vRibScvFJzdSZNNQXmJnZ8cosqJi1Gu4+eI2GivMVJU62LZ/JLcvP3l2K3VlZhoqXOzoHM3q9gU4d2U9TVUOqkqykzGDkey+XDarjAUtJRQ5TYwG4rnIyqZqJ2uW12Ez6VBUla6BbLpNqdvMtWe1UGTXY7ca2HtoPOd7+NzFsylzGakssbG9YxRZVjHoJD57URt1xWaaaz283z5MKq2gkQRuOHcGdSU26ioc7OocI5rIIAiwelkNCxq9lHlMHOwP4Z/Ylwtbijlxdglep4lgLEXvxA35tEo7F504Db1GRBAgISvE03JepvxHianf6ywEQcBk+uAUlY8kjeQITjrpJO65555cGslVV13FRRddlDNBPvHEEzzyyCN/8rE/B1OV7Y8fpu6UPxwpWWE0mESnFXFb9R9LnZuGFFJ0FJ1GIKF3k+ZDWp8CdA9H+dXTuxjyxZjbVMRVZzRhN/75jnV9JoDSvwclGkDQ6NC4q0i765E/pMknqzAeTiLLCh6bAa0kTJoEYNRnkwCKogfwv/YwGf8g+spmHCuvIGaqIJJMkwmOIiWDKHobqsWFy2LMZjCnZHyhJGaDBqdFh5iJEw5FSOjsjAeTGHQSFoOEPTWE0eEl0/46oY3PgiBiW3o+hpYVPP7uKOm0TGO1i4ysEE/KrH3vMN+4ug0xHmYgoSOayFBk12ET44QFG3u7fLy0oZu+kQiNVU5WzC6notjCT3+7lZMXVKGRsrtr3dY+vnLlXDKyyh9e7+T9fcO4bAauXt2Cy67DqNPgD6eIxdNoNCJ6rYaWOid9wxEEAYLRNKqqYjfrQMgazNKyjD+UIpmSKXaZSGdkhnwxRAFG/HESSRmbWYckCbTWuLGYVczBAeSoH9HiRvFUcbA/wrfu2VBwzb529Xx+9rvtBVnHN50/k7oyG6Io4g8n0EgiZoMWRVUwGbVEoiliSRlZVrCadeg0IlpJQKeRGAsliScyFLuNqGmZjKgSjsocHgoRT8pYjVqaqp05gv/A83voGghRU2rjk2e3IAoC44EEHqeBQDiFxagFVGKJNKUOE8JEkofBIOG2Gogl06jAuzsHeendbiRJ5LyV9cxp8iIKAnsOjfP7Vw+QTCuctqiKZW1lOMw6RgMJ4qkMiWQGi1GH06Zj1J/Ii8w7gu/euBi7RUc0IeMPJXBY9Rj1ItFYGr1OyxMTJkyvw8gnz27BZTUgigIvv9fNuq39mAwaLju1idZaF+F4GoNOIhBJIQgCdrOWVEbGH0xSVmQmFEnntPUDY1FK3CbG/HHue3Y348Hs1MpzTqjFazcQiKeIJxRC0SQOix6LUYNWSaM3mfFHsxINu1mHx2oASSAUS9LREyQYSWLQaagstmDUi2g0GjKyQjiaQqMRMeokdDoRq15HOJEmFE2jqCpOqx6TTkIVIRDKyoCSKRmbWYtWq8Fj1jLgixFJZIglMlhMWtw2Ix6rhqFAgkAkTTSexmzU4rDo8Fr1jEVT7Ov2E4mnMeo11JbaqCsxkclAJCUz7I9h0mspdhgQgXhaIRpPEoymkCQBi0GD3ZItLnb0ByeSZ1Q8dgPTqxzoNSLtvUHuf24PoUiSE2aXc8Gq+g/M2f5bYer3Oos/Vdn+SMj297//fdauXcvY2BhOpxOHw8ELL7zAwYMHueWWWwiFQthsNu68807q6uoAPvSxPwdTZPvjh6kP7z8P/ifX2hdNccvd68kckzc7o97NFy5u+7NuNERRRd70GJGtp8D2cQAAIABJREFUf8xb93zidpLWwsEvH4Z+f5zv3b8xr318/qp6LplvZvThbxw1QgK6omqs53yZL/xqV56O02rScueN8zEYCrt1Gr3I06/t58l38qerfe9Ts6lJdeJ78e68dffZX6BDO43v3b8xL2P5+nNnsLQsRfj3t+YN1dE2LEJ34g38y13v5hHSMo+Zb167gLuf3JmnwfU6jNxx83J++dTOvPa7KMB3rl/Mzs4x/vDGMRM1gW9fPx9fIM0vntiRt37DuTOo8lr49n35mcxrlteyuLWUW+/dkPedPavBwyfPbuXWX76bpyX3Oozcdv1i7n9ud55UxWHRc+t1C3l7+wBPHVPN1WlEbr1+Ee1dPn593HS/L39iLhlV5a7HtuWtX7O6maUzi7npzjfz1k9ZUMVJ8yu49Vfv5Wl2GysdfPrCWXzv/o25CuWRY/r2pxZy37O78/TtGkngezct5c2tffzxOKnAbTcspmcoxH8/l5+p/i8Xz0avk/jJr/Nzti87tZGWWjffuXdDXqV/2awyLlhVz/cf2JR3TG3TPFx/7gy+d//GPCOu2ajlzs8t475n9rD9wDG58KLAbdcvZuu+EZ5+K79K/o1rFuALJ7jnyfwb0M9cOAu7WccdD+cT/fNX1bOktYRb7l6ft1/nTS/iytOb+dYv1+dJW0rcJr5x7QJ+9MiWPMOjQSdx+42LeXrdwTzJlSDArdctor3bX5D//uUr54FKwfn77IWzsFsN/PDBTXnrZy6pZumsMm679708aUtLrYubL5rF1+9+N09y5bIZuPW6hfz88R150zy1GpHbb1hCib2wsCAIsGHvCL96Znfe+i1Xz0cQ4IcP5Z+/689ppaHCzi13v5u3fvqiai49qf7Y+P+/OaZ+r7P4u4j++9a3vsW3vvWtgvX6+noef/zxSV/zYY9NYQpT+OfB0Hgsj2hDNpUhFEvj+DPyWLXpKKE9bxesy+N98CFkO5WK0zscJiOrVBZZsVhMVHstfP3ahTz/ziFGA3FWzqlgTqOXzPD2PKINkBo5DJExZtZ7mN9cTDCSwmrWsveQjxFfhKpyI+PhFMO+GBaTllKniUwkyhs7RgqOxR/OUNS5rmA9tv9dPMtm8LWrF/DcO4eIxtOcurCKpioHmaFtBdMr052b0C+5tKDyOzAWZcgfY/XSWmpL7WzvGKWhwsHStjJ8oTib2/N1rooK/WP5aRNHUO6x8fL63QXrG3YNMu/itoL19TsGmFbhKCiO7OwcIxhJsbytnJY6F+FoGrtFx+a9w4wG47TWeagusbG5fZj6cjuzG730jkRoqXNhMelYt60Pr8PImuW1eOwG1k9yrG1NHu59Zk/B+ru7Blk5r5yTF1RS7DKhKCqCIPDm1j6m1zgLzHEHegMM+2J5pBay5uZhX4z5071cdloTQ2MxbGYdFqOGUX+MulIrP/jMUvpHoxh0GsqLTIQiqUmPtaPPjzhJtv76nYPUlNn4ypXzUBSIJtKUuEw8+1YnI/4Y566sp6MnwOGhEDPq3JiNWkb9caZXO7n2rNbcVMZ9h31EYuk8og3ZRI2BsQgHen189ar5hKJJtBoRRVHxhRNsOzDCly6fSzyZQRAEDHqJLe3Dk3oG1u8YoLLIWjDRcOv+Ec45oS6PaEP2O2AskMgj2gCJlMzQWIzO3gBXnD6djKygkUR6R8IMjkV5d2e+Bh9g78FxZtQXBi3s7BijuszGqQurKHKakBUFQRB4e3s/teX2gszxvV0+gpFUgWnTF0ow5Isxp8nLVWc0M+yLYZ8Y0jI4FqHUoccXTTM4HsWo01DmMaHXiLy2Jf/GGrIpKeFJplq+vqWP4kmG0by5rY9zltdi/BOJJFP46PEPb5CcwhSm8PGGZRJCbTVpJ82Z/TAokg6tvZjUSFfeumj6gHBsIBqLcsdvdtI/lq38WYxabr92Nk67lWqPic9d1EYqI2PUCGQyKpKx0Pgn6AxIBhPlXjlv6t/5qxqwO2x09Ie589Gj0xRXzi7n6tPrKHUZCkibXicgearhcD4x1Hiq2Hk4wG9e7eAHNy5GBX73yn42tw9z8+LCaotkc6NKhfpCnUbEYtRy50Pv01Dp4MR5FXT0+PnBA5v4jy+uxGPPn0B35JyUegqNf+FIijKvBY4z/pV5zcSShSOii12mSeMfHRY9NpMGg16TN43yyjOm47IZ6FQDrN81QEO5g94JMnbKwioGRqO8ubWPlXPLGQvEefy1Dq4/t5USj4nuwXwj2pg/Rqm78NqVesxoJZG+4Ugu/u+IrtkyiT7TbNRiMeoKpjiKAlhMOlx2M7ff+17useVtZVx4YgP+cJLb79uYSzFprHLw+UtmUzahnc8/H4ZJPxMVRRaKnCYefH5vLrVIIwl85cr5mIwSdz6yhdoyG1XFVrbuHyEYTbFkZik1ZXZ+9OjRyum5K+ow6jU4rfqC/Wcz67nwpEZ+8uiW3I1a7UQeeYnbzM9+tz1nGnbZDHzhstkMjBUmsJR6LJO+B5fNgG6SmQEaScSo16DXSgVJLxaTlgtPnMZ9z+7O3ZTPrPdQ7DZR7DIVEHSvy0R8kv3nNOuoLbWxcfcQr0yY0PVaiRvOm4FpEmmGzaxDp5MQBPI6CeJEfnkkmub2+9/LPbZqbgVrltfQNx7nu/+9MRcXOKvBw6fPm0FVsTWvEg7gtOixGgv3WVWxdVKNdonLPGmm+hT+7zF1+zOFKUzh7xolTiPLZuVHb11/zgzMuj+vVpBGh/3EqxD0Zoy1s9CV1KIrm4bgqpn0+aIIuw6O54g2ZPN1n9/Qg2biX6sZGS2QyWR/USWjFVPz0ry/4zzhUkZkB4+9ki9deHpdJ+GEwi+f3kVNiZWbL5zFGYurWbe9n56xFJ84pR6zUUvbNC/TKh3UlJgp91qIlC9ENB4l0JLZTtg7i4ZiPXpJ5NM/eoPP/OgNNuwZ5vzl1SjOSqSKmUf/sSBiWnUtIVnPyjn5sXZnr6hDp5W45JRG9nb5eOSlfby3Z5iT51ei16lcvbqZY/lwa62bUreJFXPK0R8zta7UbcZslFjYWoLDcrRtbjVpWTGnAllWqSy2cuK8Cs5bWY/TpufiUxox6DW0TfMePVQhS/6iiQxPr8uXqTz2yn4SyQxPvtnJiC/Ou7sGOdQfZN22fmRF5YV3u6gpsXLCrDJOml/B3i4fQ2MxVi+pxWrSMavBQ1O1kyKnkbQMbY1ePA4DzTUuZtZ7sJm1nLqwih0dY3lJF6mMwtqNhylzm1g8oyTvmK48YzolLgPnrWzIWz/nhHpcVh0PvrAnj4S/s2OAYX+cx9buRxBgdqOX+go7B3oCtB/2s2JOOeZjvAkum4HmGidlHnNeZdOgk1g0o4Te4UhePGhGVnnkpXbsRj1LZ5WSSMkkUjKptMJ5K+pRVTVvzDlkR5GHYynOX9VAscvIhSc2sLC1mJn1HqxGLc+uO5jXEekazJr6tu4bIZJI86mzW/jU2S1EEmm27R+lyGmk3Ht0v+q1EqvmVVDsMjGzwZNbFwW48oxmbGYtpy2q4vpzZ3DXF1Zw4ap6Lj1lGl6HjstObcw71lVzy3HbDDz7zqG87teug2Ok0grnnFCH4Zh9Wewy0VzjpLbMgdeh59qzmrnhnFa8dgMnzKsgmkjT2Rdg1dwKzl9Vj14n8fr7vZR5zMxvLuL6c1r44WeWsnhGMVef2YzbrOfs5fny1gtWNZCSVR58YW8eCX9zax++UIqHXtybI9qQ7dz0DEc4Y3E1JsPR7zSvI3utZ9a78DqPdgeMeg1nLqnGbTcwvfporKckClx7VvPHyiz/z4SP1CD5f4EpzfbHD1MasH8e/E+vtRIP0j3gJxRLU+qxUFZkQ5YKK5F/CjolBn07iOx6A43Ni3nOaSSsNUz2NajRiPx27V5e2pTfiq4ptXHbtXNR1MJahX5gM5nQOBqbGyURRWNxEjmwmcP1F/P9h7YUPP9LV8xFp5HoG4nw3u5BKostrJpbSSyR5vBgEK/DxCube3DaDJy2sJJ4UuaVTT0sqRap1AZBEOhO2Ng1IvLp6UMM66roS1hIySoVNnDv+g07aq+mtVRDZvQwaiKK1l1Gd8JKWhFZv2OApmonqYyCXiuxac8QF58yDbtJx4AvxqgvhsOqp6rYiiBkh6c4rQYGx6OYDVqKXSYOD4VIpDKUeSz0DIfRaUSqS2xMq7Tz9JudzJ5eQt9IGFVVqSiysrNzjPNWVNPeHeLlDd0EoklOmldJZZEJUZJ4/f0+PHZjNh1DK5GRFcqLLPzk0cLz9+3rFvG9+zcWrH/xE3Mp85rZ1+3n7e39eJ1GTl1YhVEnotFK9I9E+ePGwxh1Gs5cWoPVJLGny09lkY0X3+0ilZY5fUkNkWiCjCxw37P5chijXsMPP7OUjKIwNJ7N1i52mSh26ugZiVHkyKZdjIcSuGwGipxGEskM3/ploZnz5ova2H1ojFKPhW37R3BY9Mys9wAqXQMB5k0vIRhNIYoCJoOG7ftHWdhShNGg4/BQiIysUFVio3c4hEaSuO843a8oCvzoc8tJZWTW7xjgQE+ABc3FzGzwEI6l+MGDhWPcv3TFXNIZhWA4ybu7BqkosrBidgX+SDZmcfy4jPGvXzOf8WAcm9nAKxsPgwCnLaomFk/jCyWIxDNYzVoURUUUBTbuGeLfLmsjElfoHgwSjWc/18UuIxlZRVVV3t4+wIEeP20NHhbMKCESS/PO9n7mTS/OjkA3aRkaj9Jc4+a2+zYUpI7ddP5M0hmZ+nIH/aMRJEmkssjCroMjrJpdTudAhJc2dCPLCqctrqaxzMbebh8mk543tvQSiCRZMbuCRDLD8tZiRqMpXt/cS89wmEWtJbRN8+A264inZXrHoviCSdwOA5UeM2OhJLf+qvBaf+7iNu57ZndeSg7AZy6YycImL4FYmr7RKJIoUOE1Y5moqEeTMr2jEWRFpdxjxmnWoqoQT8v0j0WJJTKUecx4bPqPVK8NU7/XR/B3odmewhSmMIW/FPpMAP+T38EbDXKk5pmZfRqaRZchT0J4PwiiKCAf3ETgtQcBSPYfINaxGc8nvkfCWJhdnckozK53FZDtlbM8IGgKdNAAkqOUsRd/mTeAReupoHiBsaAtbzJoKHWbWLuxh7Ubs23rjt4A77ePcOt1ixgcj/Kzx4+aCzftGeY71y9iTlMxv8gjf3E+e+EsJEsa7dPfo/aYR/QLz6bMa+Er9206ZnjJIc5eXsvKeZXs7BzL02EXu0x4HUYefGEv244xHZa4Tfy/Ty/irW1Bnnvn6PRPs0HDN65dQO9IhO8/cNRYJokCt924iMpSO7f8In9K5xc/MZf9PWG+/8CmnOZ5X7efT65pYXaTmxNml/PO9n56RyIsai2mpdaNJImYDJq8ASxOqx63zUBFkSVPKqCRRBoqbfz/7J13fBzlnf/fM7O9r1arVe/FRZYty90Y3OjFFGNqQgktJKSQcgnlwqWR5HIhDRJIQidUU0IIvRgb3OUmW7Jl2bJ6W+2utreZ3x8rr71ekTvuBykXfV4v/vCwmn1259mZ7/N9PuW95r60OG5/l4dtrYPcee08uof9/OqZY59he9sgd1w7jwKHie8/tDldtO3pcPOlS2aRZ8rexl9Qnw8C/OChrRnX9OTGIlYvr+JXT+/OCFqpLLJy66WNVBVbM6gCoihQkmfC44/wx+NEmzv2D3Hb1fNIJBV+csIi45Y1s9BoVNz1+00ZjaQvrJ5JzgQ+23Om5mHSq7jzgW1p3+f2bi/zerxcdfY0HFZdRvGs16oozbfw+sZO/vJhZ/r1W/cNcvs181hQX8ArH2RSsQRRxG7WZzie7Gof4VufnYN5AoHkqpMrCUcVvvfg5nSiJsA5iytYOa+Enzy2PR321N7t5UC3hxtXzaCt08O723vSr9eoRH58Sz5zp7jYcoKe4Kin+e2/PSYiFEWB266aS0d/kLsfObbI2NPh5utXNOGwG/necRSPtk4PV509DX8syY8f3ZbmZ7d3exlwl3L56dXokagtsMBxm28Oq57yAksGXUkSBQocRhY1FPLOtkx+dmGuMWUpqFdjLbVxIoxaiSnF1vS/j85RvVqi+vggo8m+4j8sJovtSUziXxSSJNDriRCKxMm1GbBMEOjwaUFLFDHQTygIOmM+ET7aY1vx9JIMZnIZA7vewjnrDGStA03cC+Ex0FuIqW0TdqkBVIkA3k0vZJ47ESPpPgLF2cW2KAqUK1386Ka5RJMpD2uDVkTfux2JUlSCjDrQhxwPI1pcBEUbEVMhzlVfZvSth0j6R9G4ysk59VrCeg3f/uwcInGZUCSOQadCq5GQRDEjChxSsdVjwSivnRCmk0jKKaFmIsmKuSWsa+4BBFbMLSEYiSNVFWM9/UYGAgIJGZzaGBq7jWFPKCsl8I3NXSxtKuI7n5tLQhZSY9Kr0GlUBMJRQuE4d9+8GH8ohlGv5o1NR4gHA1mOGcFIArcvwmsfdnL12VPJGQ8k2d42hChIbN7bzfevn4NakFMFgqhi7ftHWDyzkH9bU8sMRxQlESOmc3D7kwepK7Xx3Jut3HKqA42spy+S4O7HtvG9GxdxxzXz8QUiROOpLrzdrCEaSXLz6gZaD40STaT8jKuLbETjCq9sOJQx1kgsSddggHe39/Drr5/CsDeCJIrk2nR8uKefEW84qzv6zrZurji9js+eNZW177QTjCSYM9VFWYGF7sFAFqd5w85elswqyko0PNTro88d5PpV9ezpcI/7RAuUusyoJJG3Nndz/ap6zAYNKkngg919DIyGSMoyV509lVhcTgVCqSQCoRh2s4aVc0uYWeNEVhSGRkO8tqmTz545hZsubOCJ11rxh+LMrM5l1clVdPb7swJWtuwb5NwllXz9itmAgD8Uw2TQIAkCsVgivQA8ikA4Tu9wgBlVDk6dV4rbF0GrFjHo1Gg1Eo/8pZXGOid1ZSnx4f7OUdbt6GXVyZWsWVHDyxsOE4klWFhfgMWgoW8kkFFoA7y++QhTK3KyUlV3H3Qz7Ivw7c82EU+mEi4tRg0WvUQ4JjOjOpe68hxi8SSSJGAzaQmEY7y9+Qhfu3x2Kj1UEjjY4yUpy3y4p5/zllRQW5YDCnQP+nl3ezdNU/IyKB4Af/kgRUc6UQj5zvZuVs4rxWXR4o8k8IdiKdGrVkU0GuP68+t58E976ej1kWPRce2501CLsOqkCvzBGFtbBzHq1Vxz9jQK7B8vP+R/C0GAQDTJWDCG2aDBrFN95P1yEp8sJovtSUziXxDhpMymXYM8+cZ+EkkZV46BW9bMonCCVLxPGvr4CIGNawm1pbZZdeUNWE+5kpA2b+I/ECZYBIgiiiiiGWll9JVfIUeCiDoTOefcQswxZeIHiCCCOMEtb6Lzk+oeBR1TeW1jL+t29KAoKbuvq86cgyrhJ7pvHe5NL4GcRO0oIvfMmwgYSoi5ZuBYcydCLISitxHEiEoUGPVHufe5XfhDqWL7pgsaqCw2Z6XlAQiIqKXscYkCHOrz0T0Y4IKl1SgKbNk7gCwrBBIGnu+w8petAygKTCm1cv18GdUEQlJJEgCBPneYP/xpL+FoIhXUsXoWrhwDq1fU8qNHt+ILxNBrVXzuvOkoohpJEuGEYkQlKlx51lSefvMA7d1eBCFljafXSFy4uIi17x1mfUuqSz6vzsGVp1aTqwoQ3buewTdeB0VG4yrnZ5deh5skX5k1ytja+wgk45gsTn5x2U3E9AqHesPc/8JuQpEEZoOam1fPZGq5lcO9Af78wWE8/ihajcQ150zHYdOhmkBAJokCnztvOvet3cO+w6MIApzSWMSqU6p477iO6VFoVGKKypJIcur8MrRqiRFvmFKXOcvJBVILNOkjOLOSKBKNJ3l9Uycj3ggalchV50wj16rnpotm8Mgr+zgy4EcUBc5ZXDEeEiOzae8Au9pTPOyF9fnMnpKHXqsmkZT56RPbU9e63M5lp9Ux5ImwYVcvX7uiCYDh0SD/+fhWbr6occK5pFNL6Xk5Foxh0Km44fwZlOabUUkCieSJfyNgM+v41TM76ej1IQpw+oJyzl5cQWOtk637BnlqnAPeNCWPWTVODEQ5RbWT+ct0yKIGY6CZXsN8ImK2m4ZKEpHEiX+PJr2aIV+EXz+zC28g5T3/ufPqmVlhodBp4vd/aqF/JIhKEli9vAan3cbV59Xz+KuttB3xIAiwYk4pC2fks2hGIeuae/jT+tSuwaxaJ2cvqsA9Fs56X5UkIkzg/iKJAoIAB/rG+OXTOwhGEpj0ar56aSMOq44fPrKVb1zehCQJSJLAI3/ex8XLa8lRSVhNGi5ZWUs0liAUjZNU4NOmWguCwOHBAPc81Yw/FMeoU/GlNY3UFpkng//+BpgUSE5iEv+C6HeHeezV1vQ2/uBoiIde3kskmxnxiSPRszddaANEOncTObgF8SMesoK9GJU9UyBpmbcKQVFw/+nnyJFUF0yOBHD/6edoYqMTnYa4qMe65JKMY6LehJhbPuHrFUWhfSDMe8096YfRvsOjfLBnAOIhfB8+DwiIBgtxdy+eDc+iF6LIMoQlOyF9EWFSvPJhX5RfPZsqtPVaFeFogl8/u5NAKM65S1ICK1eOHo0ETrueYoeGsxan7Ai1aglpnK+bEuUV0DUwxsY9/WzY2UvvcIDZU/LoHJF5ZcsAkiigVUu0dfl4t9eE3awjx6JDp1NR6kpxCs9eXIFRK/GbtbuJxBLotSp8gRj3rt1FPClz73O78AVi2M1aovEEv31+N1aNzKVLMq+Dw6KlzCqzZe8A7d1eylxG7BY1b27pwueP0NrpSRfaAFv2u9nZPowYcuPf/mqaihMb7GRs+6vYY/343n0MJZnqeCbGhgm9/yiqUJh7n92Z7tD7Q3F+/ewuRn0x7nt+d7rDHI0leeCF3ahIcNHSqsw5Y9RQUWjig1197Ds8On6N4b3mXg50eWmodqRDfCDVBTxldjHBcJw/vnGA1zd28s62bt7e1s2rH3ZSkmei8ITY+dMXlFNkk5hdl7lwnFmTS6Fdze9ebEl7rccSMr97sQVJJfLG5iMcGU8plWWFP61P2Tf6grF0oQ2wsWWARFJhwB3knW3H5mVbp4fm/UMUu0z0DAb44SNbuffZXdy7dg+rTq6hIFdPWb45Y0xLm0oQVSK/fnZnumsbiiS497ldxBPJ9Lw8ilybjrICM69v6qSjN7XTJCvw6sZOeof9RGNJmvcPoVaJqFXieCpqAntimMTWtai2PYV22xPEW96kzLOFXKsehzVzcX/WonIKcg3UnEClOKmhEFElcN9zu9Nx7ZFYkt88v5vBsSRr321PJ38mkgpPvXmAeCIlQG0bd3NRFHhraxeHe8cY9oT4cM8xW8WdB4Y52OulpsSGUZe5IL9wWTUWoybLau/sxRU4zFp+9mRz2qowEI7zX082o5YETptbyl2/38Sd92/ktvs+JBRNUOQ08sw77by1tZun3zrAi+8f4sGX99HnznZs+aThj8T5rz9uT3vVByMJfvZkM75w9qJxEp88Jjvbk5jEvyCGPdk3945eH/5QDN0EHNVPChqNinDXvqzjkcO7MM86m6ic3d6JSmbsq75BvGsnscFO9FWzUfJqkcf6UeKZQi0lFkYJesFmzzqPooBSNIvci75FuH0LKosTTeVsItrcrNcC6HSqLNs1gJ3tw5w3bzrCOXdwyK/FF0xQla9D0/EaUmyMeFJPR1+AQW+YcpeJsnwTI2NxGqpzqSqy4gumtpt7hgKMeCMsmVlETYmNzv4xciw6KgotKPEoXf0+fnNNGcrIYdAYiFjLaB3wYbEauOv6hXT0ehEEgepiKwMjAQSDlktPrUVWIJ6QsRg1bN03QFGen299dg6H+3x4AzGuKLRg1KnwhxMsbSom32FkLBjDZtLS1jmKxx/htHmlFOQa6RsJ4rQbSCSSiFEfM33v8I2zl7CtO0GRTaLBOoZltI2i3Eq+c90COnq8aDUSVUU2bGY1r248lPX9bT7g5dTy7B2UyJEWdKXTso7Hho5ginozAoQAguE4nkAsix4hK5AM+Wl0Jbn18ka2tQ6RZ9czuy4Pq0nLzvZM/2iA/Uc8NCyr4jNnTqF7KEA8IVNVZGVTSz9nLSrnP65fQM9wivZQXmBhX4ebeFLhxgsb2H9klCP9Y8yscaLXqTB727nsJBeNtbm0HvFQV2ZnmktFdMybZUMHEIkm2NPhzjreNxKkZ9iXdbylw01pfrYQa3f7CEtmFfDtq+dyuM+HLxCjstCCRi3h9cdZvaKGgZEQnf0+plU6UBQY8YQzgoIgNXcGR8MUOozccvFMdhwYpshpYnqlA0kUMor/NBRoOzLKZ86cmu7467Uq9nd5OK3cSGzh5zgcdxCJQ4UlhurwGwy6/Zw2v4xAOM6IN0xlkZX2bi8ef5Rrz51O2+FR2nu8TK9wUFFkweOLpG0F09daVhj2htKLp+Mx7A2ze4JrHUvIE37fOw8Mc+6iUm67eh7N+4dSqZbT86kqMKEWRb562Wx2tQ/TPehnVq2TyiIr3UMBoieIHUORBO6xKKfOLaGi0ELz/iEqi2zMrHIgKwo7DmSPaXA0RJnz4wu+Pw68gViWf3k0nkoOteg+Wtg3iU8Gk8X2JCbxLwi7JTvFrDDXiFH78SPQPw4SiQSqwimwP9NBQl08jaQiARO31iOaHISa5WjqRGLj3Xit3gqSCpLHHiCCpP6rvtkJQUPCMQV13jRkWSHyV/ZPI5EEFYXZ56ortSOLIj96ZZg+97FC75trzkAvmfjNi/vY2XGsSPrMygrmzihCp1Hx+Gtt6eML6vMpcujYdXCYh/58bAFSVWTlq5fN5JzKKLGXfsZR1ZPKlEPjmd9gSNby/QePpVfqtSq+ddUc1JLAqxs78QVSXUpRFLjl4lmUuEz84umddA8ecwy46cIG5tY5GfVFMjjjZywsI9+hZ3f7CL94+piIsGlKHguqK9H4eig+9FPrsOhmAAAgAElEQVQqHIUkD40hh8aQLvgaBToz33twc1qwZzVpuOtzC6grz2VLa2ZxVl/pQFCyi05NfhWSKXuRpLK5EHSWLLqNViNhMWiwmjTpz3wUkt7M/lGR+57bQeMUF1v2DvLBrn5uvbyR2lI7XQOZ7gkVhRY6BwI89Od9OO16VJLIuuYezlxYjtmg5ocPb0unLAoCfOXS2Vj1Kr72i/epLLQwtdzBo39pQ6MWmXd1Kdonb6fRZGdxdROhvTtIbhrBePl/kmvTZaSIAmhVIlVFFnYfzCwAnTY9oXAcyBT+1ZbZ0Guyf6fVJTYkQeLnT+3I4Dx/cfVMaktt3Hn/hzhtOioLbTz5WhuiJHL71fPQaaQMdwxRFLCbdfxm7S48YxGWzyml+cAQT791gN98cxnVJVa27D1hkUtKHPqLp3amfbC1GokvX9KIG5kfvC/i9acSHkUB7rjkMmxGHT9/ejcWowabScuWvQMU5Box6NR869frmVaRw8mzinnlgw6GvFG+e8NCTHo1geN43oKQskM8UYwIYDdpqCmxZfG/JVGkpsTG5r0DGcenlNlxj8W556lmkkkFo17N+zt7+NrlTZQ7Tfz+pT04rDqa6lz88Y19nLO4miUNBeN0m2PzUqMSMRvU6FQi9WV2ZlY6kOWUZkEmlTJ6YrF/Yof/04DFoM7yKZdEAYvx02uuTOIYpLvuuuuuv/cgPk2Ew7FJPtI/GYxGLaFQdmrWJD45aHQqICUYglTB9sU1s8gzf7o3XkEQGAhLaMa6IZjqRon2Itw1Z2G22f/b3+rxXGxFrcfoLCB8cDuggCiRc+bnidsrAQEEAW8kgagSOT4mQxAFQrEkIPxVnqQkCWi0KvqGAwyPF0iuHAOXnlpH7+AYr2/NdCk50BdkZq2Tx9/I7Oa2do2xfKaTB15uyzjeMxRgeUMu977YmiHK8vijLK3PRbvlYeTgcZ31WJicKbNZ2xzgUO+xwiKRlNFpJKZX5rJl7wBfuaSBlXNKCMWS7O/04LDqssRu7d0eFjYU8vArrRnHD/eNsbihiN++sCfjWvSPBJlRV0BpTSWhg9tI+t0o8SimmSugtIk/vNaZEfkdjSWpr3Kg00oMe44lKpbmm5kzzUV5oR05OEoibypK8Sy0YgL7kotBlBC1emL9KU9tQaMj9/TrUOkNmHJymV+fz7knVVJVZGHe9AKmlpkozrPiC0RZMKMAq0nDklmFlOTbuHftLgLhBH3DQXzBGIFwnLoyOzNrnATGfaQbp7jQSnDSrCI0KonuIT/dgwECoTgFuUZWL6+hc8DPxj0DnDSzkBnVuQRCcfYecrOgoRCbRcWa5XWUFlg4uTGf2tIcRIMVR76TeEE9gYK5aHJcWCunEzSVU1OeS6HTyMUrammszaXIaaQ4z0xdaQ7b9w+mu6QL6vNZ2FCIrIDLpuOac6ezYk4JKpVAictMictE/0gg/Z3n2fWsXl7D4Gg4S3B7sMfHKbOL0alV7DgwTM9wAAW49LRaSvKMlBfYmF5p54JTqplWYWdahYPSPCNTK3L4cM8A+zpHGfVFOGNhOaUuE9UldnYeGE53sGfX5XHSrEI27OpDlODmC2dySmMxvUOBVKKjRpfhIKIAg36FpU0lyLLC3sOj+IIxdBoVX7x4JmpVKvTm7a3dbGkdJBhJcP2qGRQ69VQW2tjWNjie5AmXnlpHZaGZqRUOtrYOpn9Hy+eU0DQ1jxKXhT0dI2n6UX2VgwX1+ZTkmejo9eEZS83L4jwTa5bX0NaV2n249bLZLJxRQK5Vy182HmHxrCKefGM/RXlmErJCIJhg894BFjYUUFNsZ1vbEIqSKl6/uHomZXnjnWJBYCycQJREREAAqkvtbNk3mC56V8wpYcE016fuj63VSJQVWNm6bxBFSS2qbrpgBpX5ZgQAEfyRJKIk8nFycSaf1ykIgoBhgqCro5jsbE9iEv+CMKslzltSybzpLgLBGC6HkaIcLbHYp7syFQSBN/dFMJrOY2ZFAgGFNq+W1k0+vl7x3//98ZAVgRFrA6Hl30YJehBMOSSsJdgRGA7EeHn9Iba3DVGcZ+Ly06dQU2jEE0jwzvYe3tjShd2s5aqzp1LpGn/YnABJEvlg+2EuOa2OcCRJUpaxW3Q88XobK2blZ71+LBgjOQENJp6QiUTjEy4kotH4hEI75CRyyJt1WEnE8Y4ls457x6JYDGpWL6vmgZdaCUcTnDa/lOlzrAz6stPyAqF4ligTICkrRGOJCbMJIrEkd77p5/bzv4U6NAIaI1sH1dj8WnwTREoLAhQ7TVy8spa+4SCyolCYayTPpueAJ4G/8hIee62dsWCMsxdeieagitNzulCScfLO/ypyNIyg1TO67mkcZ32eikIHz7y1n/ZuL9MqHVy0tJqewTC5dj12i463tnRRlm9mekUuskKWewRANC6jUYtUFFp57NVWtGqJ1ctrMOrUbNjVl44tl2WZXKuenfsHcOaYuOKMKbyx+Qgef5RFMwow6tXIikJtkYNfPrOTnqEATVPyOHdJBZ5wjLBtLk+/fYC2zj3UleWwZmUDsXEHiP6REC+vP0yh08gVp08hGI4z4PZzx7XzGBgJodOocNq1mAxqnFYdnjEdP35sGypJSKWOGjUkkzJNU/NZOa8sXXj+8bU2ls0tzfrM/lAMWVaYO91FnsPAWCBKjjXVDR71RSnINfD8e3089WY7VcVWLllZizsQQ6sW+caVTYyORTDq1FjNGkbHoigJmduunkv/SBCtRiLPbsBm0tJYm0uBw8ivn0vZVa46uZI8u55wdIL5GogiK3D2SeXMm55PIBQjL8eAw6LlYM8YeXY9158/A18gisOqRxRh2BOlvcvNXdcvYMQbxmbSMugJ0j0UIplMcvvVcxn2hDHo1ViNGpBBpxL52uWzGfaGUUkiOWYtCCnLyqvPnsboWARZUci16tFrJEpdRi5cWs09T+1gLBhj+Zxibl7dQFKWufbc6byzvZtd7cPMrstj7vR8EkmFxmoHP/nCYjz+KDkWHXajGhRwB2O89P6xe9CVZ0yhzGkkz6LlBzcuZNATwqBVkWvR/W2CaBSYUWHnJ19YzKg/it2sJWe8qz0aivPnDYfYvHeQwlwjV5wxhYo842Sj8hPEZLE9iUn8i0InQnmuEcZFXp92oQ2QTMosasjn+w9t5eXjjt96WSNy8uO9vy+a4EdPNB+3LR/AlTPCXdfP47FXW2kZ36pt7/byo0e38oPPL+KDnX28sK4DSHF+7354Kz+4aRGuCbZxY7Ekc+py+c4DmzKO37KqltJcTRat4ay5BVhNWox6dYal2fTKHFw5BkrzjHQNHdvSdtp05OfomT89n00tx7a0tWoJjdmCqv40khufOu6dBWI6G0sazew6mEnNWNhQSHu3J8OX+7l3DqI9vY6p5TmoJDEthoWUA4fVpM6iYNQWW3Dm6LP8oK0mDQUOI5UuA9f85miSoxeVJPKfXyhg2ZxiHn81s3Nv0qjoHgryi6d3ZBy/eXUDRXk6fvz4MZrK0+90cNGyatSOIkbffIjAzrfT/89QO4+wLpefPbgt3SFvbhuifyTIt6+aw73P7k4nPLYd8XD3I1v58RcWsaypOMM+URIFKgsttHS4eerNA+nj963dzTc/00SR08Rtv/kgY6zXn19PjkXHr5875r/95pYuzjmpAlmW+dFj29Ld6A27+vAGolx3Xj0/fHhLuuu8q32YvuEA/3HDAu5/oYVd4zzijh4fP350G3ddv4Ce4TD3Pb83/b6CAL/42gJ6RoIZ1KPfvdjCrZc3oo2reOSVTO3DNedMoyjXmEVrWNZUjFEvcsdvt2RwdmuKbdxyySx+8ti2NJe8pcNNz2Azd3xuHs+93Z4xL1WSyHdvWMDO9mGeOcH7+/s3zCMYTvDwcWN66M/7+NKaWeSaNVmR5ivmlGLRq7ju7rczxrqooZALl1bx3T9szlgslbrMfPMzTezv8vHyB8euqcWo4c5r5/PKh4f55TPH5r4kCvzXl5aws8PN469m7t5867NzGBgJcc9TmfPypgtnkGvT87Mnm9Nj/dP6w4iCyLknlfLIK/vS1K0PdvfRGM1jxewiBCDHqEkXriiQGP/8R7nk7d1e7n5kK9+9YSG5Jg1GjUSlK1Ow+jeBkoqltx9HHZGBJ9/Yz/a2ISCl3Tk6VtcEdMNJ/O8wWWxPYhKT+JuizGni1ssaeerNAyRlhYuWVlN3XGDDREgqCsO+CP5QHKdNj82oZsAdyuK/Do6GcPti6UL7KKKxJP5gnDe2ZNIpZAW6Bv0TFtsqlUgZ/fzbpdP54zudROIyFywqosERxhAd5jtXTufxd7sY9kY5dXYeJ5fEyMHLdedOY92OHg73+5k7vpXdM5Lg62umsfb9I+w85GVaiYU1yyoYiMhcuKwaq0nL5paBNMXApFfx7lgp85pWIx14B3QWwtPPY5fbSHmBmetW1fPy+kOIosD5J1dRmmfkvR29nN2US1N+AlFJ0BUx8vauPqZW2Pj2VXN45q12Bj0hFs8oZEljEWPBOLd9toln3z1Ee7eH2XUuzltUwtBomEtW1rF+Zy+7Dw5TWWTj7EXlDHrDLJ9TjNFk4N3mHvJzDFx2Wi2BiIzXH+WCpVWs39mLQadm+ZwSykusvPr8Hs5YWI7drEUh1W3+YGcfX78i24ru3e09zJ02m4KLv0P34Bj+cIJ8uw6NzUhLTyTL07p/JIjbF82IUgcIRxN0DwVZPqcEnVrFuh09OKx61qysxWLQ8F5ztsXfzgPDLJ1dzO1XzyUal0nKMlajlhfXHWR+fQHzpxdQWWQhmVRIygrrdvTQNMWVJY5r6XAzOBri0lNrcdj0uL0RHDY93rEUleakmS7WrKxh0B3CatJiN6k51O9n98ERvn5lE+FIAo1aZNgTJsdkYf2OA1lj3bJ3kFvWzOTfr5tP94CfRFKhyGkk16bD44vww5sX4xmLEorEceUYkCSB0bFEljiuvcfL0GgoS7TpDUQZGAlRWWhk1ZLFDIwGMRs02M0aOvsDGZSQ9G9FrWbD7sNZxz/Y3cdtV83lnq+cTP9IiFgiSUGuEb1OoM8d4twllVQWWglHU7Z5T791gEF3iDuumUMoKjPqi+C061EUmYHRENeeN51XP+xkZ/swFQVWVi+vQS0p9I8E+e4NCxnxhjHoVPiCMZIK4170mdjT4U51uE/AvkNuSvMtWd3c95p7OGV2UZZAd8f+IQLhOFZ9Nn9+xBfJEm1GYkn6hoPkfooC9P8NRgOxdKF9FPGETN9wYLLY/gQxWWxPYhKT+JtCEgVmlNuZcu18jEYNschf11UkZIVXN3XxwvupjrRaJfKtz8zBNMFDLhX8IWaJvgBUUip18MQgDaNOYiLIsozg6aJkz2PcdfbnkFVqEpueQBk2Qu18rG/cydcXXEzS6EDY+zzJ7lGUi75Fxch71Ji7SBQXoxp4l2jJmZgLZmHo3MTl9sNceu4MpKE2dAMDmKuWIEoarjy1hjMXlmPQSqhIWVlv6Qzz2lgOJ0+5Fm9YZsOfRvnCBQqvftiJKAp8+6q5CAI8/eZ+RsdCLKzQYtj+KsrGVCcv12ildvmXGPEnuO+F3dxx1VzUksjO9kF+/OhW7rp+AVv2uonEEiyoL6Cjx8uhgSCFThN33v8hixoKuOKMqXQNjPH9h7bw79fNIxCH5v1DzJuWj2cswjvbe7hoaTVH+sdSVIqpLiLRBE++vp+mOieLZxTwzNvt6YIu35HivEcT2RfcbtEiKwIPbQryXnPKlu2oF3V5fvZDXxRAr5XQqMSsQkivUREMJ5DlBN+4solINMn7u3u5eFkNOVYdh/syxXQ5Fh16nYoHXmxJC+2cNj1fvrSRSCxBLJ5MJzwadSquPmc6E9igo9eqKMwzsnN/iF/9bhOKkpqTV589jVm1GnwBHd95YFN6l+HMheWcsaCUz5w1lXv+2JwW/82uy+P0BaXk5Rho7cws2gpyjXj8EZ564wAHxhcaORYdt6yZhcWs5cV1HXy4uz89nm9c2YR5Ai6pWiWi06oQRSGLNqTXqigvdHDX7zelucXLm0o4d0kFOWZdlgNMPJGi3ZyIXJueYW+Y3724l72HUwtgq0nDN6+cg1Yj4fFH+a8/NgOpHZ2vXNZIiVPPB3uGeHLcrzvFLW5gzhQbO9t9LG4o5LwllcQSSba3DbNkZiFrVtRy9yNb05Ssk2YWUltsI8eszRAGQ+oeIE1AStbpRIwT3FNsZi3qCTzbjTrVhF74Rz+LViNlLcZ02onvNX9PaFQiRp0qazGm006Wh58kJgWSk/iHw6Tg4r/H0cCOf+a5LQqQYzcQnIBbezz6PRHue353+t+yrNByyM1ZC8uJJWUO9R6jO5y+oIxF9U70Om2GRVl9lYNFMwqotiXZ0HqsE1qUq+e82TmoddkBG4oCepORYMs6oi1vE29dhxwaI2flNWBxEu9qIbr/A5Idm0mOuXGceg1xVETf+i2KdwBh8ABK0INqsJWc6lmMvPxLEgMHSXZsIjHQTuTIXnKmzCGusSHLCrl2PSICyaSMUYpTYEzy+o4RWnuCdA6GcFq1nN9kxVWQxxOv7WfYF2ZX+wgtHW4uXVFDfriDyI6/oLLno7LmkvAOY9HI6GuaaDk4ytp3D/Lmli72dIxy3Xn1WIwafv7UDoZGw3T0+Bgdi9JyyM05i8rRalS8tvEIW/cNcqDLy4L6fBZMz+fe53bTPRigo9dH30iQI/1+ZlTnUuoys2FXHwd7fHQN+rGatCxrKmZ/l5cPdvVR4jJjM2vpHQ5SnGemxGVm27j4DVIF1Y3nzyCZlHn0uG3/pKzQM+gf97tOUJhr4LNnTcMfjNJQk0or1GlVGQVpQ00uS2YV8sCLLWzaO8jb27pZt6OXzr4xppbnML3SwYd7+jOcUy5YWk3bkdGMYJtQJIFaJeKw6Fj77kEWzchnwYwC9h/x4A1EWTq7iCODfmIJmeI8M8FIPNU9N2r5+ZM7MgrYlo4Rlswq4edP7SQYObbYO9jjpWmqixfeO8iAO0RloRWNWuJgj5fFDYVYjVq2tw2l6UomvZozFpThGYvxp/XHhLjhaAIUBatZyzNvtaePJ5IyRwb8nNJYxKAnhM2s4dR5Zbi9Yc5YVM7MSgeKQIbF5UkzC5k/LZ9fPrODUCRBZWFq12lf5yiNtU6mljvYuKc/fe9x2vQsnFFAicvMppaB9EJCr1VxxelT6Oj1pWPfIbXLFAjFWNzg4pfPHPtdJ2WFQ70+6quc/PrZYxQjRYGWQ27mTS/i5082pzQXm7t4e2s3+w6PcsbCMn77wp6MyPmuQT8NNbmpa727j6OXwm7WsurkKrSalFjUlWPAbtYSiSVZtaSaIqeRPR3u9IJcFOCG82egk+DIUCDjPVYvr6Gq0II0QeCNUSthNGTeg2ZW57JsdtFHFuh/Lxi0KqwWHc37j3W3p5TZWTm3BM3/YKyTz+sUJgWSk5jE/yEkZYXOoQDrdvRiN2tZ3FCIy6r7Px256wtEs46NjkWIxhKctbiMmTW5jHjDOG36lFtADBbUF1CYa6LfHcBm0lHiMpErRZD2Psp/nHsuvWEdBpVCcbIbs2c/CevEXtshYxE5F/wbyeFOSMaRnGUELBXsaB+hcfmNWAJ9yNEQUk4Rz+2VObsqW9Qoh/3IIS9K4oQHkiKTDHrRakaQ+w/gObgNdW4x+pp5CBoDrpbH+O45Z9ITNqBTKZQofZj7t2OpWcTXrmji/R29SKLArVc0UWoHf9cQ/lNuZWO3gC+isGSxmqKhDZikBDdeNIOecZeNojwTsViCnqFA1mItFEkw4AnjsOr4+hVNDHtD2M061JJIJJ6c0CfaMxZl/c5eLjttCtFYElFKLRiK80y41x/kBxc6sQ5sByXJ2MK5vNnpx2XXcuvls+ka8BOJJSl1mens86DTZXewhzxhAqE4Fy0pZftBD29s6qSx1klDpY0hT5gDXZ60v7NWI9E/EiSWkDkyMJZ1Lm8ghk4tcMc18+ga9KOSRMoLLAyO+hkezU4P7OzzUVtiG98FGOTIgJ/rL5hBPJEkHJP5zBlT2L5/mEO9XlbOnUZtqZ2B0VAGPx5SQSvBcCLLJ/ro92fSq7n89Cm0dY5SXmjlzEUmdBqRt7d1c/GKGuKJVFw7gsCHu/tYMSdbCNnR66OmNNs6sWtgjEgsycUramhuHeZAl4ezFlUwtcJO13CAZY1F1JXaGfKEcFh1FDtNBKNxqopsLGsyc6DLQ3WJjVyrDl8gRlxO8u2r59LZP4ZOo6KiwELvkB+tVsXt18zjSP8YCAJl+WZMOpHt+4NZYzrcN0YgnG3z2T8SxOOPZM3LcDSBbwKfaEh11U+0cgTw+qMc6vVw+zXz6BkKoJZECpwmDvX7GHSH+MLqBrbuGyQpK1y8opa9h0ZwOfR89bJGugb8hKMJSvPNHBnwEY3rKcu3MGeKi2g8iV6rYsu+AeZMycNuyO6GyzIsrndR7DTRNxLEbtZSXmDGoP7H62wnkzJz63LJu2YefcMBrMbUWE2af7yx/jNjstiexCT+ibC/x8dPx7ddAd7Y3MX3blhI7qds2ff3hNOmzxJYVRRYMBs0qASwldigJDNxTidCbaGZ2sJjIiRZUqG1u7Bu+AVWQUynF6pX/xsflaHWPRziew8eQFYURCAhH+brV+SQl2PguvtTXTmNRiIW62X+9HwkizMV/64cKyQkmwvRnIuoNyOHjxUFglqLyuIktO89xrb8GYBwRzPBfRvIu/wutI5CzBt+xdTjzqdZ9RVaRtXc/ciW9Pfx/o4ebr96HqaC+Xz34T1pSsWGFvjG6jMpR83dD2/GF4ih06mIRBJctKya+fX5WcLJHIsOh0XHfc/tZnQsMv7Zkqgkkd9+8xSmVeRkcVFdDkPa3UMUSHcRF053clG9SOile0iOj9+4fwOXnfdvuL1RvnVvSoxoUEMoDivmlnDyrOxisarYSp5VxT3PttDelVrMbN+fcoT4/Hk1DHtSaahH6RCiKHDZyloaapw0n8BFzbPricST/OCRTajElDhMFARuv2Y+pdkGM8ysySPfYeQHD29J28dt2TvAtedOx2pQc/v92xgcTQVEbWsd4vQFZayYW5K1La/XqrCYtJS6zHQdR2sQBMh36Jla4eDh47zW9VoVDVU51JXaePy1NkQhZZmnKKlO60QOH3OnunDasqkcM6qdGHQqfvjw1vRiaXvbECc3FnHlGbX87sV9bG0dTM+NqiIr37yqCYdVl6ZyQKor/I0rm+gZCvL9B7ekr7VWI3H71fMIhGPcef+HHA2CVWT4+pVzqCzK1mM01jmx6LLLjynlOTjtBtQqMcMO02bWkmvT4RynpRyFJAroNBIN1Y5sn3K7gX53kP/4/WY0EhxldHzl0kaclQZ+8vi29O7D+zt6ufXy2agkIWteLplVxDmLHfx8XFB5dJ5VFlkxT/AZjkItilQXmKku+DsIIT8mVKJIlctElWsy3ObTgqD8X26JAW53YEIbq0n848LpNDM8nN2p+FdHEvj+w1v53HnTEUURSRQ40OlGlCROqnd9bEqJSiUxNBYhEk3isGjRfhxz1U8I/5NrrQC7D43ywEsthKMJCh1GvnzpLJwTiJz+Ggyyj3jnDiSzA1GjBUEiNjaCSqMjkjcz6/WSJPL8+kMoySRnzDAhKEl29CpsaBnmK5fOwh8IIyMSjSexGdXEk5BIxnHJQ6jVWpR4BEFrJJJIMqbOwxU+hNcfISCaMSpBrHoJxZyH+/HboHohIWsVmkQATdtr2JZeCRYXiZAfr8qJSlCwRHqJ51Ty29d7sBo1zK7LQwE27+1Hr1WTn6Pn7W09LJxRgCQKtHZ6CIRiXH56HYW5BvyhBJFYkhyLlt88tZOrL6hHUWTUooQ/Esdu1DAWi2LUaFARQxa1eP0xTAY1NpOEJyATjiRS6ZOhODqNhCzLxJMKGrWIxaDBPRZFJQkU5egxGNSMvvY7Qnveyfhe9bULcF7wVUaDEYbdERJJBYdFw7a2YQocRvzBGEZ1ElGAQCRJDAmHScPhAT9NU1z4g3HMJg1vbOxk0QwXbm+ckjwNiVgCjUZF/1iSwlwjkWiSDbt6Meo1JGUFq0nNrFon9z23J4sHverkSs5YUEZz2zC2cVHY6FiEmhI7h/t83P/CnozXO6w67rhmPlv29dE0JZ9QOI7VouWnj23h1svn4AnE8PmjqFQiiYSMxaQl16IhEErQ5w6m+LDjfO6KAgvf/cNmTmkqoSzfjKwovL6xk69e3kjvcJA/rz/Mln2DiAIsbSpm6ezi1HVvGeC1TUeQZYXGOieNtXlMq7Czs93NM2/uJ5aQKS+wcOMFM3CPRfjpCQ4iggDfu3ER9zy5nc9f2ACCgCgIPPznvXzx4lncef/GjAAUgC9f2sjz7x7k7MVluHJMCCKs295NfaWTne1DrN+Z6T2/tKmY1cuq2dPhxmLUIACeQJSqIiuJRJL2njECoRgqSSQYiVPoMNJU78DtjqLRqAmF45iMGsKRKLkWLX2jMe57bhfD3jBGvZrrzqunvMBMMJLgdy/u4ciAH61aYs3KWupKbWjUEp3dw1TbkiQQOOTTML3aySsbDvPapiMZY503zcVlp9exYWc/L73fQSIpU1dq5+pzpmEzqmk94uV3R+9BTiNfWdNIrlmDJIEnlMAfjGExaTH/f3SEZWDEH0USBBwWzUdlfGVcQ38kQSwhYzNq+HsQVCaf1ymIooDD8dGLlcnO9iQm8c8CBT5/0UyeefsAzW1DaFQiq06pYt7UiSkQfw1JZLa2jvDoK/sIRhJUFlm5flX9P6T6XAAaqx38+OZFhKIJbEbN/4hLmAUFNHnleNY/TbS7FUGtxbb4IgSLc+L3FeCkOgvmrveJPvdnkJPMql1Iw5kXQCJKS6ePp948QDiaYEq5nWvOmYZJLSKNjjLy9sPIoTHUjiJyTruehE6hYyyPXxiIEM0AACAASURBVL6yj0HPMDkWHV+6cCpTTGbCJ32e+z+Mcqg/gFFv5PrlNzNbFccvWHlwvZvt7XvQqiUuW1bGEofIsjnFbNk7yE+f2A6CwMq5JcyucxIMJ5hZ4+TFdR3EEzKz6/JYMquIQoeeHQfcPP5aK6FIgupiG9edNx2TQeRwX5gHXmzB649S4DBy00UzMBkT9HoFfrt2O/3uIDazlhvOr6e0wEg8JnDfc7tp7/Fi0Km48oypTCm3EU8o/OHlvWxrHUKtEjlvSap4nbBaUJL4gnHe3NjDC+8dJBpPMrPGyeWn1aFXK4QCQX7x/AGC4TiVBSa+eOF0bFYjCUXkew9uZXQsgivHwI0XzCDXpkUrwT3P7qVnKIjVpOHm86aglUSCSoLD/X72HnKj16q46qypiIKIPMGqVJYVkrJMnzvIg3/ei6woLG4oTKWFTrCIlWUFSVTIs5vSNnWlLjM3XtiILCsoMvzx9f0Me8Pk2nTceEEDiaSMIAq8vOEwXQN+zAY11547HZUoc935M3jp/Q6eeesAWo3ERcuq0+c5dV4pZywoRxAFYvEEsqJgM2lx5RhYs7I2veVTU2JDVqCiwMRt18wjnpBRS8L4eT56Jf6F1bO4/4U9DI6GyLHouP78egSBCb+nZFLmxgvqWfvuQXbsb0GjEjl/aTWlLlMG5/f414ciCTz+CA++vDc1L6fkUeoyo8igyAqvbewkGElQVWwl32FAjiXxBRM88MQOPP4o+Q4DN17QQCAk89DLLdx6+WyCkTgGrZqX1h0kz17Fz57Yzg0XzECSRNQqkbe3HMFq0tBYKGDq/xPx9ZuRJBWNc1YhseIjr2n3QACtWuCu6xcQTyQREPjlk83c+bn5NFbl8KObFxGOJrCZtGhEAUkSONDr57cv7MY97pxy04UNVOcbSWZvPvxVeMNxnnu3g417+pBEgTMWlnP63FKMHyGqTCoK29pGeOQv+4iMh0h97pzpWPWTZd0/IiYFkpP4h8Ok4GJiqHUCr2w4wvqdvUCKv73v8Cgza3JxWj5e3G/3SIifPtGc3qr1+KP0DQeYV1/A35Kp9z+91ooyrprXqpD+lwEQKq0a/8ZniXSM++vKSSKdezDWzSNhyMt6vSwraN37iax7OE3jkN3daMx2jgjF/OqZXWkKxog3wlgwxsk1etzP/gAlluLmymE/sb79JMpP4nuP7cI9nlgXjibY3DrC4hkFPPD2IO29qc5QPCGz+eAYK5fO4pWNXby/J+XJnJQVdnZ4mF3toMcd5aX3D6VpBR29PqZW5GDSqXn4lX3pnbx+d5CyAjN2i57/fGJ7+lqPjkUY9oSpKbFz9yPb0nSHQDjO3g43CxpK+a8nmhn0pOgRkViSrfsGWTm3jEf/so/WTk96rNvbhljcUMjGPf2819yb/t5aO0dZON2FwWIlsX9D5nVY/BnaPWruf2FPWvg3OBoCAUpztXz/sV3E4uPzMhCjazBAU10u331wG/7xuRIMx9nVPsJJjcXc89QueodTY43GkmzcO8TKpnyeffcQOw+kvr9EUmZb2xCNdU7K8i0Z/tGiKHDpqbV0DQR44vW29POia9BPrk1HbYmdD3f3ZfhBX7Kylhyrjh8+vDXteuMLxjjY4+WUWcX84OEtaavCUCRB8/4hTp1fxr3P7ebIOL84FpfZum+AefWFvLu9h637UrHsyaTCng4386bns/+Ih3vX7mbdjl7WNfewYVcfU8odRKMx7l27h5YONy2HUv9ZDFqsRg3ff2gr7zX3sH5nL+819+ILRFkxt4TtbUMZUeeLZhQwv97F3Y9sY2Rc+BeOJtjWOsj5p1QjKwoHuo5pECxGDWcvqmDdjl427OpLz8u9h9w01jopcZnTLihHcemptQTCcX730t5j83IkiE6jorbczk8fPzYvPWNR4gmZ6dUufvDQlvRYA+E4ew6OsHROMV0Dfh55pZX3d/Ty9rZuZBlOW1CKogj87qWW8c/cg3ssyoVLq5Da3ibW8lZqMIpMorcVTeEUNI5CPtyT2YW/5NQ6bGYND7zQwptbuljXnDrXmlPrqC0xIydBe/QeNC6KHAnEuPvRrWlP8FAkwc4Dw8ybXoD+Y/CzRVHkvV19vLaxE0jRcw50eakutVFgzxZvA/SNhvnpH5vT83LIEyYcjTOr5uM3X/5/MPm8TmFSIDmJSfwfgS+QehCeiI4eHzMr7cTj//NV5YA7lHWstdODLxD7h/OB/d9ArQTpGg4zMBrBalRTkadDTMQQC6cxNu0KuoeD6DUSlXkG4gMfgmN61jn0ejWe7pas43LHJoZUc7KON7cN41lWCnJmSys+2o/PF84Ij4FUYeMNxmnr8mUcVxSIxeJ8uC+T6gBwaCDAgb5sIV97lwebOXvBtXnvANMqHFnHdx0cYdmckizLvGFvmBFfOIMXCxBLpDqUXn+Mz5w5lVg8xeMe8YUZHA2z/8goV54xJdW9FQQisSTlRTYee6Wbk5d+FUvPBpBl/CWLee+QGrU2W7y4rXWQGSWGrOZIa5ePUCiSlbTpDUQZHYvSO5I5l5Oygj+cnLDTOuAOYzWo+drls3l3ezc6rYqVc0tBUdh9QlAQwNZ9Q5w1TcttV8/lveZeRrxhlswqosYaob0/m6LYNeBn1J/ygz8ewXAcXyCWthU8CllJ/RZP9DkG0KoktrZmH9/VnrK7yxpr6wAOW/Yc2LF/iFCkjpsvmsn2tkEO9viYXZdHWYGZAXeYEpeZsxdXEBtP12zv9jLqj5BnM3DtudPZsm+AYqeJ2VPy6B4OTngP6hwYIxpLcttVc+l3pwSRBblGDvf6CMeyW7zb2gZZMiv7M+zpcOMPxrLoK6kFYoQ5U/OpKrKxs32Y6mIbU8vt+EMJovEE159fz+Y9A+TnGplR7UCMh5E7NmW9R7yvDbG4nO/esDCdbFrkNNHSMUwooueOa1Pi2WgsSXGemaHRIL5gEuME9JAhTzjN5T+KsWCMYW94QuHkRyGpyOnFVsb3cXCEeXVO4vHsHaKB0ex7+KaWAS5ZUYte/Y/leDKJyWJ7EpP4p4FJK1GSb84qhFwO48cqtAGspmy6SJ5dj/4f0AcWQJRgyBfDH4qRZ9NP+OA7CoNBzfrtHu596VggyMIpOXxpVRXt+gZ+8oet6SKp1GXm1jWLsExwnmg0jiq3lBPDzgVnFRZj9oO0OM+EXiVz4iNQ1BkxGTVZYkRRAKNWhcOqy7AUA5BUKiryDew4mOnEkmfT4c2utXHlGCYstktd5gk9ggtyjdgm4LzrNBJmg3pCn3K9RsWp80t58OW96YK4psTGSQ2FnLWogvvW7k53KZ12PYsb8jEa9dz2Qi9VRQsQBDi43cO5S2wU2bOFfKUu04Tz0mHVodWoM8SXkPKJNunVWYmdRz9Hicuc5aftsKbCgza3DnL9udMIR5N89w+bufmiBsryzaw/4b3LCy1I0TGsz32Dq066GGl6Ed53f4jKkoNt7pezxmo1aTDo1FnpoqIoYNCpsJm1eE8I57GaNJS4TLR1ZobzyLJCeYE57aV9FGX5FuLJ7OKrLN+CxZi9UC7OM6OWRP79gY3Mm+ZiQb2Ld7f1sPbdEN+7cSGl+eaMlMqTG4vQa1W8vOEQsXiSxTML6Rrw89qmI/zbZ+ZQUWjJmq8FDiNatcQvntmZvhYmvZovrJ6JbwJrz1KXeUKva1eOAZ1GyhJEa9USFqOGe55sxmLUMGdqHq2dbl56v4N7vryEglwTj73aSmWhlZaOETp6vdxyYT3kVsBoZrddyinEoJP4z8e3pzvSR/3IAX77/B56h1NCUkkUuOnC/8feWcfHdZ7Z/3vvMGpmpBEzo0lgtmOKIbZjh8F2mMpNm5S7paSUdEu/TZsmTdJAAw1znDgOmGRmyRYzzYxGGqb7+2PskScjb2F3u+1W589X87m697107vOe55xpqM/zvEnSqxJ8yuUyAaPur5Pjyc644pxrYwqQm24kPMm5BqKR9J9AXoYR5ST3+xT+9zElI5nCPxymlqXOAwmy0gw0nhiMkZqSHBMrZuf+1ZZSarWcMXcwFvggl4l86rLpZFk0f9f75S851yEJdh4f5Od/PMj7+3toPDFIZVEKxrMBFAIEIlJMXuIeG+VHT5+MI7Y9I14unFPAf7x4gtFzrASd7gCleRbSLYlLtQoFIFcR6j+N5Im+BEWtEd3iLch1SQw7fbEVApVCxqcvm066HmRChEB/65l9E7GsvBl1aiFpJjn7miccEzZfWEh5noXcTBN7jg/EiOSimVlUFqZQka1nx/Hh2LmuzjeyZnYWVpOKQ62OWEUtzaLlsvlZWFOSaOkZjckX9BoFN66vQq+RM+YOxJwoFHKRT182naxkDQqFnKYzHsuCADdfXENJlo5Ui54Bm4fa8lQUcpHFM7MozDbymxeOotPIqa9MJ0mnpKnTzgWzsnlrdyd9wxMWbx5fiILMJKoKkznaYqN7cBz7mI8Uk5orlpVh1CkZdwe5a3Mtq+fmo1PLWTgji3SzGr/fT9tAdFtymcAXL6siJUmLVqviWNvE/F1/UQWz8kxkWdXsPjHE2ct24/xsSvOtmAxqjrSMxEjv9BIrlfkWCrOSUIoCc2oySLNoGR33MrMslRSThtPdozECZjaouGJZKWqFgGy8H9fR7XhP7QZJwrDiZuRJqYTCUowgnQ1fKczQY9DFeyxfs7KckqwkstMM7D0xGLvHltbmUJ5voSTHxKluB7XlqSQnaUhJUjN/egZpFh2HTg3HqvoZKTrWLSwgzaKha3CMa1dWsHBGFk6Xn42LizHolDhcPvpHovOnlEfva71WgUwm8v7+Hg42D+N0+bllQw3JpqjzzLn3fOfAOEtmZVOeZ+GDg700dzoYcniZPy2T2dXp6DVKjrWOxD2DGqrSOdwywvFzzk8gFCHZpKahMu2Mj3uUoOs0Cm66uBq1Uo7LG2BGSSqLZmTiC4S5akUZFpMKrUoRa2IVBLhhXRXFWQYyUvR8cLCHU12j2Jw+1i8spCTbxIMvHYtVlMc9QRxjfmqKU8kqLCDY2hiz3RRTC9HMWsv2Y4648xMKRxBFgeJsEy9/OOFfLklRC8H5NRlMpl7TquUYtCqOtk5sa/OaSqoLTPBXPEeliERaip79TUOxj9zsVD0XLyxEfZ5nu04tZ8Tpo/fMfadSyvjcFTMmTbT8n8TU+zqKPycjmXIjmcI/HKa6m88PmQwGnAF6h12o5DKyUnUY/8akL08wTO+IB5cnQEaKjnSLOmp58nfEX3Kue+xevv3grrix7FQ9X99Sjy8Q4o3dnRw+PczMEiur5uYhBlx84YGDCdv59Rfn8ZUHGhO8em9cV8mCqkTfN41GSbhlJ3KDieBQF1IkjCIlC8IRttlSKc4wYHcF8PhCZFh1vNvYxcULizDL3MjG+oh4nMiS0vDpM2gZ9JObrMY57mHE4cWSpMZk0tI+6CU7zcjomJ8hhweDVonFpMaohLAkQ/K56BlxoVLIyLZqUBnNeF67H1fFOnp9egQBMhVODK3v4qy7mbAEAzY3wVCE9GQttlEPqRYdINDRP4bbFyQjWUdWipbRcQ9Ggxb7mJ/RcT8pJg0WvZKRcT9qpYyPD/Wxv2mQ0lwza+blE45I7D42gATsPzlIqlnLnOp0sqw6fvvSsRjBO4srl5fiCXpYPL0gbrl+24Fu1i3Ip3vAzYvvt+D0BFhWn8OMkhTM6ggun8SI3YXbF8Rq1mJI0pPkOIXDVMzwaDAW4Z1sUGAeb2VUX4Tb7WHY4cGoV2FO0hJCzj2PNLK8IRdJin5MdvSPUVFgoSzHRHP3KG/t6kCllLFhURFWk5oTbTaSjGogWqlUq2Rs3dNBQ2UGSYxTmeRGCPnxqFP4+Tt2PnPFdCRBYNgelQilJ2uxJqvo6HERDkfQahSMjPpISVITCIYIS/Dax+2sXVCA0xVAp1bQ3u8kM0XPkMODWinn3cYuzEYVaxcUkJdu4JHXjrFuQTH2MR+iKGLUKXh/fxdXLi+jo3+cF7e34guEWDknj6KsJHpHXGSn6HG4/Hh8IdItWtr7nFQWpiBJEsMOL053AKtJgyVJxcioj3seaUy49r+6pY5Ui4YxV5BBhwe9RkGqWYNcFPn3pw8yuzodmSggigKDdg+luWb2HBtIkO7UVaTylc11dA6M029zEwxGyEjR0T04RmGmEbcvzAtnAn3m1WSyYHoG/TY3GpUciah8JM2sxT7mxahTcaLdxrRiK0MOLyaDinG3n9x0I3f/+uOE9/wdl04j26rHIo7DaB+ICiRTJl5Ry/Pvt7LzaHzFu7LAwjUXlvHN38Y/a5L0Sn50+zxU56kYu/xhhpw+HGM+kpPUWJNU6JR/2zN51BuiZ2gcmUwkx6pH/2dWGgNhiQGHB68vRHqyFpNW+XfPXJh6X0cx5UYyhSn8H0I4DFa9Eqve8l/ellYho+RcD9i/M9H+SzE0iTaxZ8iF2x/kF08foufMku87jV00dTr49pYZVOWbON4x0dyllIsYNQoWzMji7XMsvwQBclN1k/5frzeARq1h8OkfxI0nX3gz+WnFfPU3O+MqgkvrstFqRLrsCgYcVoYcevIwoPGFSLPo+NFTB+M0u2kWLV/ZXMezW0/z8eHe2LhGJeeBu5bwdmNXnM+xKMD3bplNfnEdvte/T945+6Rbcwe93gDf+31j3D7dsLaSFLPE9x7aHafPvnB2Livn5HHPI3vjglbK88x85vLp/Pq5w7GK95DDy4l2O/fePptAMMzWxi4g2tR4qsvBD2+fw6KZWTyzdUK2A1CYZcTt1fLlX8aLM26/ZBoDI15+/Ie9sWr+E282EQ6Xsbwum6/+9oM4ffaC6VlcsbyMex7ZG/O0BsjPMHLXtTP43csn4qqURp2Sf//8AmqKU3j6nH0ShKiXd0uvk4dentDi3//UAb5+fT0pFh0/O8fDHuCm9VVkWvV8//fHz5lXFyvn5CEg8I0HdsVJWOor0rhmZRn3PNrIyOjEvFqMar5xQwOiKPCTxycs+BRykXvumMeQ3cPjZ5Iz+21umjsdfPvm2cwoTefffhevO/78lVFLwJ+eY+X38CvHufniaoqzTXzrtzvjPKpXz8tndrWCu371UVzfQHVRMrdtrCEjWRfTWZ+dv6wUHc9vb2X7gYlETZVSxr/dPIe6ijSee28ipRJgdlU6c2syEsj2nOoMjreP8N2H4q/LLWsq8Ick7n1sbyzS/MUPWnC6/Vy2tIi7f7Ujrpkzy6rna1vq+MMbJ3n+/dbYuEYl5+efX8SCaZl8eGjiHhIFyErR0dbn5BuvHI+NC8IA37iunvrKtASyvWB65qSFuUUzs9CqZITDiX/zhyL86PF99J3zoZmfYeSrm2tR/g2N3CaNHFNeotf8+aCUCeSmTDy//o/XTv+pMUW2pzCFKfzdEYxIDDt9DI0HMGkVKP8Tj+/kpEQtstWkweUJxoj2WXQNjtPvDHH7uhKefLedxmYbOVYtt6wtZTwosqo+k3A4wvYDvZiNKjatLMOim/wxqFTK8LYdThgfP7KN9DWz+OWdi7E5/bh9QdIsWvy+IG5PmO2NnUxPC1Gq8DIy4GRAYSYSkRKa4wbtHgbsHnz+AD/+9AKGRz0YdEpsox7GPH6OtAxw3+cWMuTwolbIUKlEfL4wNl0Bwpbf0u/wIwoCGWYldpedo6ftCRKgrY1dqJWFCY2Q2/Z1U1OUkpBo2NTpYHjUGyPaZ2Ef82Ef8/P+/u64cX8wzJjLRzgc4cLZeXxwoAetWs7qefnYnD5CoQi/+HQtat8IkiThV1vpGYvQ0jOaYL/2bmMXc6vTEhohdx7p5cLZuSyrz6KywIpjPFpB3HW4l36bj47+MS5bWoIoCshEgR1H+jja5mDdwnxWz81n2OFFq1Zg0Mkx61U8s7WZOy6dhkohQxQFBmxuDjQPsXlVOb+4cxFDjujxZCRr2X+8H18gyE8/u5AxdwCvL0SqRYPLFaCtbxyrScP6hYWEIxLhcIStjV2Me3x8/qpZPPXWSZo7HZTmmrl2VTked4BNq8p54f0W9jUNkWXVs2V1BQISW/d2xR1zOCLR2R+1B7x8aQmv7WhHLhPYeEExSTolB04lNk6+29hFZYEljmgDvNfYxdzqDEpyzCyty8HjC6JWynn2vWYcYz6uurAEjUrJmNuPUackHJbwBsJx5BWiTi89g+PMqUnHFwjxbmMXeq2Sq1aUMasslee2nWbD4iK27ukEQeDC2bmMjHqpLU+d9LrUaxQxon0WHxzoYfXcfO7eXMsf3jhJW6+TqsJkrl1Vjs8XZGld1FXlWOsIeRlGltfnYnf5KMg0snhWNk6XH41Kjkw2MSfnQpLgSKuNNXNzuW5NBS9sbyEckVi3oJCagmTaBsbYsqaCN3a243QFWDA9C7VCjjcQmfQZNTTqiyPaAB39Y4yM+si0JPYlTOFfF1NkewpTmMLfFa5AmIdfPR6rRhZnJ/GZy6ZPmigHkJmsYcPiIl76IFrRUitl3Lqh+rzNnEq5iE5n4LMby3F5A6gVImFRiy8s8eOnDnPD6lLWzctFJkg89PopgjOymFWU+GIMhyOI6sSqt6jR4wzKeWt3O+/sib7MzQYVd15Ty9i4h7WpXQiNT4MUIVWpxj//DoLqyVciDDo5a+YX8v3f78HlDSIIsHFxcZSgrazmx4/vY9gR7YhcMD2TK5aX4PUrefC5o7Se0QqX55m5YV0lWrUtYfs6tQLFJM4EWrUC5SRaUFEUUChkCc2IAHJRQKOSJzhtyESJY212xt0B1swvwOcP8epHbVy+rJTZ+XKC23+Dry9atZWlF1O+7DbsY4nnWquWI59kqV6llKPTyDFo1Xznd7sIhSWUcpE7Lp2O1aTi8mWlPPlWE15/CFEU2LC4CKNWgccb5v6nDsQ07BfOzuWieQVcuaKM3796PKZhn1Fq5eKFhfSNeHjsjRMca43OY266gTsumYZCLvDGjg62nfnQsBjV3HnNLIxCVAf+zNZmIlJ0/69dWY5CruC7D+7gS5vrMepUjLsD3PPwLr51yzz+7Xe7+dLVM7lieSkRSeJnTx3gjkunoVMrEhontSo5+5oGsY16ueOSaYQliZc/aEVRL6BTJ+py9edxv9BqFGhVIhX5Fu57cn9UIqOU8enLZ5CkVzLi9HH/k/vxB8PIZQLXX1RJukWLRilLkFwpFTJ++8JRrl1VxvL6XERZlNCGw5kM2j0cax1hWX0uEtFUxuklVgKTuJGc77pUq+TIZAI9wy7mVGdwyZIS2npHGXJ4Kc1O4g9vnKSqKJlLlpTQN+LikdeOc8/t88hJN/DLZw/GKver5+azrD4bwyRNhEl6FcEQ9Ay7uGl9NaIoRB1bgiHCoQjPbzvN/OlZ6LUK9p0cpKVHYkV99qRzqzyP68dkxzaFf21MNUhO4R8OUw0X/xgQReG//d4RBDh42sbrOzsw6VVo1Qp6h6NhJKXZpkn/n0wQKMo2Ul+VQW15KusWFpKTokelEBn3Bunon9ALLqvPoaE8FUGIap5lciWSECUhcrmAVqPkF88dYf+pEd7c04PHF2J5fW6s2VIUBaIxOtEqmFanwn1qL4TPEExBxLLsOk6PaXj8zQkHB18gzIDNxbKGXMKv/gCZMRlNwQyCjgGUg0cRq1fi8YfxeENcvLgIh9NLaa6Zhop0fvnsobgK88kOO3Nrsnjlo9ZYPDlEq/bVRSkca7Ox4xw/4xGnjzSLjnnVGXx4sJfKQgvVhcm0949x88XVZCTrONpqIz1Zy+yqNDoGnFy7qoLi7CR6ht04z+i1/We0v3XlVgKhCAM2F7OrM3B7AxRnm5k7PZNss5zGpglSn5ms4aKGLIxGHe/t6+Jkh52WnlGUchlr5uWj799H8Ph7sd9LLjuCzoKxoJK9JwbjHE9uXl+NRSPnSLsj1qQIUa/mVIuW+57YH/MUDkeiVn0LZmTz4EtHcZ35AJCk6PxdsayEh84h1BD1I68pTuFg8xAHmodj4wM2D2V5FmzjPt7a2REbd7oCaFTRBrizEg+IWjbaRr3UV6bxq+cOx/rggqEI3YPjXDArG4crwLZ93WhUcl7Y3kJZfjI1Rckk6VU88MJR3tnTxdbGLqwmDSsackjSq+Ls/yxGNUvqckgz63hjZwf9Ix5OtNkYsHtY0ZBHdqqePccGYlVsUYAb11Wj1yii3uKShNmgwuMPceXyMgw6Fb985mDs/gqFJU6025g/LZP7nzwQOw8RCQ6fHmFpfS4pZi2HT0/MU3aqnuUNueRnJPHDx/by9u5O3trVyYDNw5r5ORi0at5tjF4Dp7ochMIRNq+uQCaDXUcHYnZ+ggA3rq8iK0XP8TZ7zDsdYNOqcooyjXzv9400dTho7nRwsHmIQ6eGmTc9C71GwUcHoxaM7X1jVBZYmD8ti9+9dJQhh4e51elIwIHmIS6YlU2aRUfj8YHYOdJpFKyak8eprlFe2N7C7mMD7DraT0f/GAaNirnV6Ww/0Etn/xh9I276R9x86tJp580x0KjkjLoDdA1MPINWNORSX57K3z+P938HU+/rKKZ8tqcwhSn8VVCFxogMNBMYaEWZVYaQWkJAdv7Gj78GoijS3ufk+rWVDNk9hMIS2al6TrTbiJLcydm9XBDJtmjgzNJsJBJBJghcvqSY+oo0OvrHyc8wUpBhmNQ1AMDrj+DxBbl7Uy2HW0awGNWU55sZsnvINGsYcHg5eHoYpVzG9JIUslN0eI8eIXXjnQT6WoiEAqizSnF1HMWuSqxUn+4exeMLE7r03znZ76d70EXFwkspUDmwjXpYO7+A6qJkTnU6WLOgkOLsJNzeYEJjIYA/EKL5E1IOgEGbm7YeZ8J4U4eddQsL+MqWOg63jODxBvn6dQ0kGZT09Dv4/FUzONZqY8jh4fNXzCI7VY8/EOZLF2US6ncRGmxFkV2OaLXQOuBiRUMORVkmmjrsbFxcQlmeCZc7QGaylu9sqeFkmQi2fQAAIABJREFUpxOrSU1xlgF3RMn2A6e57qJKhh1eVEoZGqWcvhEX6X0nEvZV6D2CumIZd2+po7nDjssTpKLAgkIu0D/q545LamjrG2PoTOMdSAzaPHGhMtHzGcIx7k+oCAN4A+G4D5WzsI/5OdGR6F/e0jM6qSNNc6eDjJTE1Y1T3aMJ/soQ9SkfdfnZcEERbb1jnO5ysH5RESXZSQzavTRUppKVqud01yjpyVqKsk14/BE+OtgTuye0agVymUBbrxO9RsY3rm/gwKlh5KLIjNIUAoEgJ9ttfO26epq6RvEFQlTmW2jtcZBt1fGFq2ZwvM3OkMPL9JIU5KKAbdSb8CHrdAWwj/kTZDvhiMSAzU2yUcVdm2pp7nRgNWsoykqircfJzDIrX7++gaYOO3qNgrI8C1qVinHXEN+8cTYn26MfYxUFyYw6XUwvzuUrm+to6rTj9oaoKLAQDoUQRfjcFdM53eNk2OGhLNdCdqqGk52OMw41CgbtbjKtOQzY3DjG/FwwM4usVD0n2u0UZBipyDfj8QVZNDOLixcXcbRlhMUzsyjNNSMgsW1fN1suqmRk1ItCLkOnlnO4ZfjMR3U8TnTYuGRx9B46cnoEx7ifmWVWCtLO/+yTCXD1smLmVEWfQQWZRvLTDf8rselT+MfGFNmewhSmEINC8uN6/2F87We0ygfeQjdtGcq51xCS/use3JFIhLrKNH56TnKcKArcefUs/iqvrDPQKGRU5JiozDX/2eYgnVrEoFPxk3May0x6FXdvrqXX5uE7D+2OSSf+tO00994xl3SDhYERF3ZjHQgiSR4HZlGOdZJUt8oCCwqFjF+91kr7GX32u3u7WDu/gIvmG3jyrVN8fCSaWvfevm6ml6Rw0/oqctIMMQvG2HGp5NQUpcSS+s4iI0WHLxjh4KnhuPHKgmT6ht3c++jeGHl6Y2cHd22qJTPDxE8f3x/zZ39nTxfXXVTJqmkGnK89iL832kToP7oV/bSllMy7lse3tvNuTEfcTXmemU9fNp1xBPY19zHuCtEx7MCUbCLLIJJm0fHoayfQaxSEwhF8gTB3XTsLed50aN0ft6/y/FkMjof59oO7mFWaQk66gR880sjCGVlsWFzIfU8cYHjUi04j55WP2th4QTH1lWkJPuVatRyLUZXgUy4IYNAqqSiwxCQhZ5GcpKa6KDmuEglR+zphklpkVWEyVlOixKg834J2kljsNIsWq1nN42820Xg8GlLy3r5uastTueGiSt4/0MOLH7SQZdUz7IhaIX79+joMOhWPvnYCo06JPxDGHwxz96ZalAoZ33+kMda499qONr5xfQNJejXf/O0uctP0GHVK/vTeaVbNycMXDPPTJw7EVkre2dPJTeurKMkxJUiDLEY1FqMqwadcLhNIMWnY3zTIn7a1kKRX4vGFsBjVfPaKGTR3jvKzPx4gI1mL2xciHGnhwa8uQqFQ8r2HdjO7Kg2I3kNfuqaW5s5R7n20kVAkKv95YXsLd14zC4NC4Jaf7+DChkxWzM7nrl/tpDg7iVs31vDWrs6Y9R/AwhmZWM1q3mns4tWP22PjFflmvnxtHZIE9z850dyanKTm7s11pCdrE67Lz1w2HY//k+75UFOUzMiYn3sfnUiEfHNXB1++dhZVuZOvugGo/4pn0BT+dTFFtqcwhX9RiCKM+yMEgmGStApEQBzvnyDaZ+A+8h6a6SsIaRLt8f78P4FRVwiZDMxn9JNHWkawGFVcND0JuQzePDLOR4d6mVZgPq9NpyiCJuhACHqJqE14iCe7f8lLbtwX4YX3T7N2dgYrKjSMByQe2DpM95CLfScHuWZFEUvLott9tnGUQ6dHqC2eRd9ogEKLAkkCuzuVUMEqRG+YlXPy2Lqnk4gUDQSaV5NJZ/94jGifxZu7OqivTKfxxACbV5eTkaLHNurlj1ubGbR72bK6Ap/XQ7EFXEEZp0fCyBUC1UUpdPSN0TPsQhDgglnZKBUyastSOdY6won2KBmZUWqlqjCZ5k47P/vcAjyBMOGIRHKSkh89doBVc/ITgpD+tO00S7MzkQJ+0q7/CWIkQERUMPjHe9BXreCjI7188aoZmI0avP4gv3n+CL3Dbn713CG+vqUOpVKGQi7yyCsnWLe4kKJsE1q1jLJcC6GwRHu/k4LMJNo788ipWYZbnQaCiM7TQ7uyhOpcEzdfXMXi3AgyIUJ1dhU2n4wBm4dAKMxtG2vQaRS0dDt4c3c7C6dlcPslNfzu5WP4A2E0KjmfunQaaoXI7RunYdAqQACZKNI3PI43EOTqC8v4xdMHGXJ4EQVYu6CAZKOKuvI0mjscMc373Jp0MlJ0KGQi9RVp7D2TkFiaa6KuIg2TTsmaefm8uasDSYL0ZC2XLy3G7Qly2dISXvqghVBYwqhTsn5hIXanP0a0z2J/0xBr5hfw5q427t5Udya8R+K3Lx7F5w8zs8wabe4dcSMIsLQuB6tJw7PbTsfdE8FQhD3HB1g5J4950zLZeebjrSDTyIIZWfQOu8lM0XLX5loEok24D79ynO/fNpdbN9TQ2uvEbFQzMOJiwYxs5DKR2zbW8JsXjuDxhVApZNy4rgokeH1HB0BMBz1o9+B0+Xlhewu3XFxFYZYJgNc+bqNv2Mee4wOkWbSkp0QrwVbzOHtPDlKRb4lpv882RL70QSvlm2Zx7+2zKdZ5IWzjqa/OoXtcxrg7GEe0AT4+3MeaudFzMLsqnbwMIyOjXnYc7sPp8vOnbfHuKDanj+7BcZbX53KqazTWnLxgeiYl2UkEwxJLa7NJMqgRBRh0uGmoTKe1xxknYQL449vN/NuNs/lzWTFTRHsK/xmmyPYUpvCvCBGOdTp55LXj2Jw+ZpZZufbCMtIj5/H/O9/4fwKnN8ibuzvZtq8bpULG5UtLmFeTTp5ZZEWtDeHIYxAJU129khPqGUjnkX/IZBEUA8cY2fY4Iecw6rwqzIuvxqWevGnpfIhIEt/akIG66S08rzaSpNFz77Ir6dYJzLzASuTUh4w//RaCTM4l9RuJ5NcjiRJ22xi/fq6TYCjMmoZMVjdk0jMcoLXHyRUrypAiEk53gD9ubY4SlU8gHJFAkrh7Sx1Pvd1MW6+T3DQDX7hqJqIAeTo3gcN/JNB5CI0xhTlLbsROEkatgtXz8xn3BFDIZFhNatRKGc++d4rNq8rx+EMIgoBKKeONHe1sXFrInhNDPPfeKXyBMEtqc7jl4qo4TftZBIJhFLokzBdcjf2VnxO096HKKCb9sjtxh0W+cX0Dj79xktPdo2RZ9Xz68hko5CLfuqGB57ad5kDzEGaDmi1rKkjSKvD5w7jPNCSqVXIuW1qMXCZiSs9gm30JL73fihSRWLtgCfMzMsBjZ7G6mdEXniXi81BQMY9pdWs4PqZmy5pKHn/zBCOjPqaXWPnS1bUMjnrp7BvlOzfPZtQVwGxQRR0tVHL0WgWPvXGCkx0O0pO13LiuGoUIDzx/hC9ePSvmUNE9OE5b3xjpFi1XLi/FFwgjkwkoFSIyQeCjQ73UVaSyck5e1F0kEuGpt5u4dUMN86dlMLsqHV8gjNmooqnVQUqyml1H+7l0SQkSUenPH99p4vNXzZr0+guHI3zrxrk8+XYTx1ptpJo13LC2ClEm8Py2FmaWpbJ4ZhaCIHCgaQhfKJwg8YCofMY+5qeyIOouEg5HkCSJx149zo3rq1han8uP/7APp8tPfUUaX7++ASSJ5CQNL3/YRr/NTWWBBbVSxpgrwHPvneKOS6YTDIVRKmS88mErly8vJRBMvOcDwTC3bqjmnT1dPPzqCbQqOVeuKEWvVZGTpkerlvP6mcrzsoZckpNURCYhof5AGKUYIN/XzNCbTxAet6MpmEHBwsvZN5Yo25Ak8AXDXHdRJR8d6mPP8VNkpOjYvKbizH4lpiyGIxJapYxNq8vxeEPIZNEUT41Shiwc9ft+/v0WIhGJtQsLUSlkkyZz+oLhM8fwr6LCnsL/BKbI9hSm8C+IPpuXnz21P7asfLB5GEmCL28oRG5OJ+QYiP1WlVNJRGf9q7YviiK7jw/G3DpC4RCPvXGS1GQtdUl2xnb8aUI0cvg16pelIYWLJ92WeqybgZd/ESP8vs7j2N97HNNFn8PD5B7ZkyHDKDK2/wPczVHf4ohnjNF3fkfhZV/DPdCP/8BrAEjhEN4dfyTJksGpYBoPvznh6/vKrl5SjCqqCi10DYzR0jOhC776ghyyrPqESO76ijSSDEp+8MiE93LX4Di/fOYQ371lDv4Pfkuo+ygA4bERxl+5D8uVP2Bbm483zmnYA/jmTbNZOCOLrz2wM278y5tq6R/y8ujrExrpd/d2kaRXMqs8NSF+fUVDHvKIn4GXf44UiO6Tv7+FkTd+S8old/HAI0diWvLeYRf3P3WA79w8hz9tOx1r5LOP+fjFMwf56WcW0t7njMlO3N4gj71+krxMHSP2AM+8O+F1/cL2VixGDZnZbuxbfx8bd5/4GFGjJ2P6JfzgZ3tj1dzDp4cJRyLcvqGGx984yas7JjzSS7JNWBcX8ZMn9tN5RhYyYPNw3xP7+O6tc2moTOdr/7Ej9nulXOR7t83l8OmROP9ygC9ePYtZpSnc+4d4yctnL5+G1xfgG7+JDzpZ3pBDdWky457445tbk0GaRUN+hjHO6jE3zUCqWcNvnj9KU9eEf/l9T+7nvs8tYFldDk+fsx25TEQhSCyvz02QwsytzkCUIjz8yvE4acMdl9TgDYT51bOHYuONJwaRy2VsXl3KfWccRwBOtNv53cvH+OrmWWhUCu5/auK405O1ZCQpWVKbc46UKCrbybCo2Xl8IOa/7fIGefiV4+RYDeg1yrim4Td2tPOpS6eRna5NiDRfNTcPjbOHgVd/DVKU4HrbDwFQvPQO0izaOE/1inwLVpOGh1+ZaHrtH3Hz+Jsn+ennFnDhnFxe/WhCXqJSyshM0bPnxCCPnxNFD/DtG+txjAd48u2Ja+CF91sw6VWU5ZqQy4S4/oANi4pQycWpyvUU/kuYIttTmML/Ebj8IXrPEKSsFB36/yRZsnfEnWDtdujUMAPeMjLXfxnvsffwdx5DXVyHumIRPs7fZT0ZApFIQmgEQN+Qi1LXvoTxYNNHqMsX4k8sLBG09ydU1v29zQhuG+j+crLN2DCeU3sShkP2HiK9xzDNuwRkMgQEIn4PMiHC4VY7WxalUWpwIRKhN5jEe00OFhfAt9Zbef1kkIHRECsqdVQFD6GKWPnytbW8s6eTjr4xaivSqC1LZdDhwWLUsGpOPoFQBKVc5NCpYQbtbrLOEO0YpAghRz/DdhXfvXUug3YPKoUYtXuLSPQPj/PjT88/Iy8RyEk1kKSTxxHRs9h5pJ+SXDNfu66eN3Z2MGBzM396JuV5FoKOEzGiHZsLRz/S2DBFWUlsWlXOqCuAQaugrdfJgM2N2aDku7fOYcDmQadWoNPI8QfDNHc6+MrmOkbdfhQyEUGAwgwLb358KGGfdh/r58LqooRxT/NuLNOWM6cqnYLMJELhCAq5yHv7unF6AnzpmlkMjXpxjPlJMalJTlIx7PTFiPZZBEIR+kfclOSa2LKmgg8P9mI1aVgzLxoLf7B5iCuWlSLKoiptlzfIsdYRaovN/PgzC+gbdhOORMi26jnaOkxWipZl9bmkWTSEwxIymcD7+7tZ0ZDLZUtLaOqw0zPkoro42ozYO+xm8+oK9p4c5ESbjcoCC/WV6fQOu2NE+yzCEYnR8QAjTi+XLyth38lBTHoVtRVpaJUiNqeXz1w2nbf3dCKXiayem0//iJML67P48WcW0DvsJhyOkGXVY1DC4Q5ngrZ497F+Ll1SHCPaZ9E9OM7wqJcZpVbyMww0dTgozEoiJ83A8LAduVzk4kWFHDo1TFqyjpqiZGy2MY6cHuaqFaVAtN/CPubHZFTy0ketfBK7j/Xz1Vn1/PCOefSOTCRIykSJoON0jGifhbf9EOmBES5bWsKprqgbyYxSK1azhhGnL85dBs56f7vITNFzzcoydh7pJ9WsYXlDLnanh0Mtw9y9qZYxTwC5TEQUBFzeYEwqdC52He1nycwMvnPzHF7+sI0Rp5fVc/OpKbBMEe0p/JcxRbanMIX/Axj1BLnn0b3YzjRGWQwqvnFDA+bzeO/qNYnjFqMalVKGT5GCrO5KDHWXEEKB7294zyhlIhnJ2oTGP71GiVyVKP+Qp+QSlkQgkW3LNJN5XRtAofqr9kmSq1AkWQkMxZNSmcaAvmIR9q0PE/FGX+bypFRMxbUsr5Ah//ABIqPRD4dytY6ipV9EFCIYt/+UzVnlSLkWpJNHEHQmgrPWsW1XN2a9irqlJXx8uJdUs4bCLCPVRck8cU6VbfXcfMxGNTJdEmF3vMOIqNaxZn4u9z7aGNO5FmYauW3jNKaVpvLDx/Yx6opWz5OT1Hzp2lmkmhMb+dJTdASDYX702F5u31hDuiWPVz5uZ2tjF7+6ItFRRZArkfQWSnLCcQmFq+fmk56sRalI43sP7YlKY4CZpVZuWl/FxiXF3PfE/pjsISfNQGFmEplWPZyMD2DJStWDP540Rec8nYhMSyAU4cm3o/MkCnD92ir0WgXb9/Xw4gcThG7TqnLqKtPQqOQJcgu9VsEf3jiJUi6ycUkRwzYv3314Dz/9zHxWz8vnwZeOxZoCM5J1bFlTgcmo5mdPHYhVVA1aBV/ZUo8gRonpe2eqvAq5yK0bahAFgd+/epzCrOhx7j7ajz8YZt60THYd7aNv2MXCmVkcax2JWtdNy8CgVST4lCvkIl39TnYd7ae6KIVxT4CHXznGT2+vZ2jEyYvvD7N6fgGhcIRfP3eIyxfnMjIW4hdPH6L3TKiTTi3nq9fVT+q/nWbRopgkkEWtlKFVyXnh/dMkJ2koyEyipWeU7Qd6+OmtM2k83kYkIlGeb8Hm9PLwK8f55qYa1i8q4sEXj8ZWSvIzjKyck0tmij5qO3juubbqGR338R/PH4l9FKmVMr56XT2iOlEuIjNYCCr1nO4epqnTQZZVz57jAyyemYVRp0ClkCV8NOg1Sh57/SQymcCS2mwGbR7ufXQvX7xqFhsXF3Pfk/tjzjHZqXo+e/n06DX4CWRZ9SAJZJo1fGpDNRFJQhSYsg6ewn8LphxqpjCFf0KIooB45gUqigK7jg/EiDaAfdzPrmP9k1pcAeSm6ZlRYiU/w0hteSpGrYLr11ZiOBMUE5EgKCn+5hdNJBxh3cJCNOdU19MsWopzkhhLqUY4J25eVOtx5c4/b3OkYMlGU1J37giWJdfi02QAoFLJ0SsCqD5RyVcqRZQKUKqjjzmHkIR50ZUgTvxOmV6IPCUHb8dRIgEf6vwa1DkVhMZGCA12Yna3x4g2QMTnxtD1EUFtKrLMckK9TYRP7yQS8KJbvIVBZ4ht+7vpHhqne2icQcfZGG6BVz6Mr/y9tTvacKdZfD3n6kFlBXVgzuG5bVFZwcxSK6W5Ztr6xpDJBD4+1Bcj2hBtBtt7YojqouQ4mzqVUsba+flkJOuoLkzmrd2dvPJxO6d7RrluTQUhYzr66Uvj9sm08HJ6g0k89Xa8zOLNXR14A2Eeff1EjGgDHDw1zJg7yBs72uMIb/fgOCc67MypTifVrOWmdVXcfHE1aWYNC2dkQiSCwpozcUblSkzzL+HEUJh951QdIxK8uL0F53iAlz4xf09vbcbrC7FpVXnc+KIZWaRa1FxzYTmdA+P8+1MHeeLtJkpzTQiijANNQ3HuG/02NyNOL8fbbHHShXFPkPf2diGTi5zqcrB0VgbXLM1Hr1Hw9p5OlHKROdUZtPU62X2sH/uYj02ryhGAVz9u50jLCE++1cTh0yO8vqMNQYAtayopzzPz2Sums2pOHg1Vaeg0CrasLMIfjDY/nmi3U5yhR6uA5bXZIAg8995pXtzeikGroLbMyoFTNvptLlbNyWPD4iIk4PUd7WRZdVTkT8R9y0SBLasrEEW4YFZW3DxdvbIMk0HJlhVRIh8MhQmFI2ycn4Vep+aWi0oYc/vZfayf092j1JeaSUvW8dHB3jhJUkf/GD5/mHk16STpJ1bATHoVDVUZDNg9dA6MU5ZrZmapFUmCl7a3ErSWoM6fNrFDgohlySY6x1W8s6eL7sFxdh/rZ9Du4aUPWgmHJW5YWxl3DKvn5pFuVnPdRZUM2Dw8+VYz7+7tprIgmZx0PW/t7oizaOwZctHcNUpDRRopSRqqCpOZVpyCyaBkaV02wTNEXpKkqBHpFNGewn8TpirbU5jCPxGC4QhN3U7e3B0NhVk7v4DcVB1tvYney609zgSt5FnolTKuWlHKO41ddA2Mc9myUgozDEQmkXH8rchJ1vDdW+bQNTiOXCaSl2bAolfy6E4vxSU3U6hxIkgSvSETH3w8zp1XTu6z7RHNGBdejb5qIRHvGHJTBiFTLuFwBJ2vB8+BXYz1nECdU4m+Yi4udTZjbg97DthpPDFIQYaR5XXZ6NRKPho2sejKbxC09yIqtYiWTI7aVOQjYV54Jd7WAwgyBZalmwkEgzA+nLA/oaEOnB4JzQW3Iw12IAU8KJKzcGjTcA16+Pr19TQeH+RA8xANlelkpugZHfcn+ERLEtjG/OSm5yNc8V1Cjn5EjQG5KQOnoCbVrGV6iZUDTUMYdUpuXl+NUaegazCx4bF7cAyXK4Url5cSDEUIhiNYDCpe+bCN+dOzuGJ5Kdv2d9M75OKKpSV4/UGO9MqZMXMtmsKZhN0O5EmphIyZjNoCCdVDAKfLH0dGJ45DilVYz8WgzUOt1cP1ayt5e3cH4bDEpjUVJAd6iWRVkHLRpwjaepGCARTJmRwY1jAWTPTMdoz7GXMnhpOFwhJj7gBKpci3b5rNgM2DyaDEoFEyOh7k1Y9b+fKmWuxOH2qlnFAkgm3UmyA7AegbdqGQJ1pbdg+6UMpkPHpzNsFj7xIecnDhqvkc8aUx6g5QnJ3EnOp0XN4gFoOaDw/3YNKrEu65iBT9KMrLMDCzLJU3d3aSm67n4kVFhKUwo+4IP7l1Jj1DLjQqOdlWHfvaXFTkWfj+jTPpGRpHFASy0wxEZAoikou7rq3j3cZOPP4wN6ytwjHuo71vnGtWluMY8+P2Bcmy6th1tB+zUU16so4vXjWTMU8Ai1HNnmP95KYaSLOaWF4nsq95mNmV6UwvsdA65Eev1XDvzbX021zotUrSLDpGPBLdQ4nzp9MoePbdU9x5TS1DdjeCIGA1a9i6p5NLlxZz8/pqDp4awuUNcunSYvpH3IyHtaRcsAmDo4+Ibxy5OZNAUja2Tm/C9gOhCE5XgLrSFO69fR6DDg9mvYoMixa5IFCRbeQ7N8+hb8SFVqUgO1WPTiWndyjRw75/xM2iaencdkkNr3/cTigS4dYN07Aa/7qVsilM4a/BFNmewhT+SSAIcKzDwa+em7Dm23tikB/cNo/50zLjEugganMVCk3Onp2eEN9/pDFW4WvpGcW2qJANC/I/KaP8mxGJQIpeSYo+OTYWDkeoLkrhV8+eq+Ud4Ia1lUj/yT/2yJMhNbqdAIAEesmO7a3fxWQhgYF2fN1NmNZ/kUc+6uGjQ1FbtNYeJ/uahvjuTfWc6HLx/17sObPVADDK926bjTqnAtvr/xH7f96Oo6Rc8mUCSelw8J24fZGXLSAsKrnzwd0xiQe0cvkykYbKNH742L6Yz3Frj5M51elcfWEZFqM6LilSp5aTlaIhcOAZxg9PpCyKGj1pm35ATrqBx9+YSC48dGqY4hwTDVXpHG+Lb5qrLU8jEgrw86cPxo1ftSSfLKuOex5tjFX4TnePsnZ+AStm5/LFR/eeQ6D7mFEa5KZ1lQkNaiqljIwUHTPLUjnYPHGdCUL0b3OqM3jpg/jKc1memU6/wE8en9DoH2uzcdemWqpG+nE++S2ITFQd8xffwEhqQ4IfdGWBhdRkDTq1PC4+3GJUk2rR8MRbTXFyJblM5Eefno/ZoObHf4jvD/jBHXOZW5MR17wIUFFgIRhM/NCbU51OSniIkVfuQwpFLeH8faeZtvAqfKZCvvdQc1ylvygrifRkLUl6ZcwyD8CoU5KTZuCF91tizYUtPaPsbxrimzc00Gv3cd/TE6sJCrnIN66vp8/m4Wd/nPCPBvj69fXkZRi45/eNsXk62WHnU5dOI9Oq5ZufaOacU52OQSvn+fdbYt72EJVNXL5MwwMvnI7ZSJ69V+68ZiZb93Tx1u4JyZVOo+C7t8xmdlUGr+9oj/sfo2N+KvIt/NuD8f/71g3VuFx+HnnteGyemjsd3LiuCrNewONPhbRUYOK+TrcICdIgq1lDqlmDKAikm9Skm+ITHSUJsi2aaPDVGcjlInNq0nl+W0vcbysLLHQOurnnkcbY2LFWG1+/vp7idANTmML/BKbI9hSm8E+CUESK06xCtMGqqcvOnIo0Ll1SzMsftgGwfmEBFXnmyTYDQM+IK24pHaK+ustqczBq5Cj8dvCNgyaJgCLpzy6njgfDDNm9aNUKMsyqyaTXAGg0clzuABsXF/H6jnYiksTyhlyCwQgKlYyAb3KLQZkIKncfks+FYEzBI7MQtvejnbaE5Mxiwm4nMp0JT9dJhkf97PhEGMzouJ+OATdleWbyM4x4fCHkcpGsFC06uYD76HaEkgWMpVQjEyT0vXsIDrRySD6TwtrLEI68ihQKIpZfwOFgPgaXn9vXlVGfEUQKeAhqrXzziWZy0gxxhBpgz/EB1i8s5ItXz+Shl4/ROTBOZoqOWzfWkK1w0H90e9zvI14X7tFR3ts7wNeuqwMElHKRE512TnXZqcizcPfmWUQi0YhgAUi1aEkaOsgNSzN4escw/kCIC2qSmW3so8dpSkg7fGdPJw3V6eg1cjZfW0swFEEU4cm3mhh1+fns5TN46JVjdPSPkWbRctP6KjRKGddcWMqK+hwCoQgqpQyVXIZaKaM018yC6VnsPNKLSiln4wVF5KTqefa9eP9jgPepF5L7AAAgAElEQVT2djFv0zTcDZfhyJyHPySRKnMS+eABDBfO5N8/vwh3IITLGyQlSUMgEMDjCfK5K2fy6Gsn6Le5yUkzsGVNBWOuIF+4cibhcBiHy49Rq0AmFwhHQmxYXMTCmVkEAlFLO7VSJM2s4aQAi2Zm8fHhPhRykZWz8xhzBanIN3PpkmJe+7idUDjCktocqouSCQ/sQVY0m9GS1fhCAimhAVx7n8JQ2MB1F1Xy0get2Md8lOSYWDQjC7/HzW0batBrlbi8QfQaBW5vgHG3nw8P9sTNhdMVoHvIxdu74/sIgqEI2Wl6fvn0YX54xzx8gTCiTECKwIn2EfzBCCvn5FFVlIIUkbA5vWzd3cmtG6u5dlU5r37Uxpg7wLSSFMpyzfgDYb51YwNubwhfIIxaJcNiVOMY88aI9ln0DrtwjPnpHnLysy8sYsTpRadSYHd66egfZ/GsLBzjPnYf7UellHP5shKSTWo0ajm3XFyNyxtEEAR0GjlleWYONg/FfZCcvf7qKlLRKiE8OkTY70FutIJCT1qSijuvmcVDLx9j0O4hN93ALRdXo1fKEATwBMI4XAEMGgVGjfy8z6ZQKML8mgxso14+PNSHUi5yyZJiynJNPLct8bp8c1cHX7hsOuFJ7P+mMIX/KqbI9hSm8E8DAcUkyQoKmYhKLrJ2Th6LZ2QBEgb1+V9CENVyfhJymYAogLz/MLY3/wMp4EPU6Ele9wX85uLzbm/A6edXzx6i3+ZGJgpcuqSYhTOy0CkS9zUSgQyrjkGHm/WLihAEcI77yMs0IkgikEi2Ffjh9E6Gtj+FFA4iM1hIWfsZMGWjCAUYfOZeIn4PolpH8qpbENW6qHzmE7INmUwgL93I//vTYXqGXIiiwPqFheSnZ+EtWcEj+yIc3hOV41xQs4QrzEp6eyWeOZzM2hmfRynCuyfdKFUevlAGspHd2J5+FSJhFJYM7r/m0xywJ86rIAiIosCYO0BZnpnZ1RmMuaPSiGCyFkGUIX3CbUUAPnXpDB56OUp4RQFWzc1nRnEKgiDxzp7uWDNaQ1UaVywtRukdobbtOWouWEFEpkLd9SayliDijETvb7lcRKOUsXJOPr9+7hC+QBijTskdl0xDIZcR8rlZMTsXk16Fxxck4vcSCmvwByM89sZJBu0e5DKBy5eVYjaqePH90+RlJvHlTXWEIxFe/7iN0hwzykmuAZVSznhQ4PXRUt56cx8RKdpkd/vF30SvVtPYNMRTbzcTCkewmjR89ooZIEWbA69ZVYFRq8A+5uP+Jw/w1evqcLr9/PLZQ4yO+1EpZFy/tpLSHAOBkMTjb5ykbyR6XW5YXESWVc/h0yP4AmEuW1JCKBJh55E+5lZncLJTQqeO2gNKEgzaXDy39RQ3Lylia38OrzzRTCQikZ2q5zPrv4ZeEHlmazMLZ2Zj1CnpGhjn8bdOcv+nZjPi9vPjx/fh9gbRqeXcdsk05HIZoigS+QSZk4nipPc1EYFrVpXx1NtNHGmJrmTMrUlnw6JixjwBdhzu4/4n9yNJ0VWEKy4sIxiSeP3jdhbPykarknOqy8GLH7QyvSSFvhE3j7x2An8gjEmv4o5Lp03aKB3dJ4GrVlTyw8f2MuzwIpeJXLWilNpyKyc7HFy2pJj1CwuRiQK+QAhBAF8gxOGW4Vigz+zqdAozk0CY5Jklj3qbB46+h3fnHyEcQp5kRbfmC4QNWRSl6fnmDQ24vEGStErUcgFBgG6bl/uf2o/TFUCllPGpS6ZRnW8+rwO2SaNgy6oK1s4vQCaKmHVyQEClTKQ+aqWcvyXFdgpT+Esg+853vvOd/+2d+J+E15uo9ZvCPzZ0OhUeT+DP//BfDKIQdZfYcWSiYU+jknP50hK0yqjeVCkXUf65qDNAo1awr2koruJ5zcpyqq1hbM/9AM4smUuhAL62A+irFhAWEzWNQeChV47R1hddlpckON5uZ3qplWRD4u/D4QhNXaM88+5p+odddA26ONpqIz1ZS0lW0qT6cvVYFyOv/jJmEyYFvP+fvfcMjKu6t75/50zvXRr1Xixbli1LlmXcbWyDwWDTe0/vJCEQkkAKKdyE5KaRQAgQOgFCSQjGGGPcLTfJsrpkq7fRjDS9Px/GSB7G3Dx5n7y5yb1a37x95syePUdz1vnv9V+L0GAHmqIqRl95iHjIf2auYfzdx7HOP4+AqKa914VaKSUai5Np1XLpigKefquN1tPO6bm2nnaysDydEyNxth+Z8RY/NeqnpDSXrHQD2w/2cajLzaFuD46pENduKCcv3o/z7cemO6hifg/RqTG0c5fR3O1k8qwUuvV1ecwtNPPAEw20nnLS3O2gs3+Swy0jVFfmY9WIBPtnXEqkhjS0NRfy3Lu9NHaOJ+ZKQv5RX5lJc/cE2w/1TR8/MOYl06ZjToENz7HtiIMnkAw3E5scxrzmBnzqDI53jBMKRxPa5WiMLauKSTOpefCpw9PSgmA4SnO3g7WLc/j+k8fY2zhER6+T3ccG2NM8xiXLC/jNKyemNc+xeGL7vWZOOllpOp5/u509jYPsaxrC4w+zYmE22Wk6dh8fnP4NFgW46cIKhp0+Hn+jZZrauDxBAuE4NrOGn79wbDoIxReI0D0wyfl1uXT0unhz3yn2Ng5xtG2Mmjlp1M+z8x9Pz8STR2NxjraNsqwqmxe2t9PZPzn9XbecmmBuoYXiHBOv7+6mucdBy6kJQuEoV6wrxahV8Is/NrHtwGm2H+rlQPMwN100F1dIxqOvn5z+DFPeEC5/jNoFuextGqGpa5zBMQ8dfS4uWJpPZrqeB586Mv23FY7EONo2yvrFechlEtpOz9j/ZVg0bKzPw6RXcrRtDJMukSyplEs5f3EOuxuHePfwTDW8f9RDfoYOpVLK02c52zgmA+g0MiryDbx7dJD20xP0jXjoGZzi2g2l2EwqfvBEw3TfQCAUpeXUBOvrcnG6g0mWemV5JuorM/jtn5oYGPOe+a7jNHaOU1uRQVOng1+/3ER7r5PtB/t5c98pllbaaT3t4s19MxX6gdGEJd+8QjN7GoeInPWQcctFFdglDnx//un033Us6CM63ouidAlxQYJcIqBVSJGeKQz4I7GEC88ZD/toNM7BkyMsX5CFSp6qt59GPI5KLkEpE4kn8qUw6VW8d7R/WoYjCnDH5nnozuHmMov/GrP36wQEQUCt/miL3NnK9ixm8W+Ekkw937qtjgPNwxi0ChaV2bDq5H/3A6VGLuGeG2s43jlO/6iHRWVpFGToibs6IJosOYj5PcR9LtDpU87j8UdStqEBxp0+SjNS9Y9KpYwxp4/77lhCz8Ak0VicoiwDB08OgXDuDxGZGk0ZC08MEpkaJx5OlmzEQ35wDXHJ4kI2F/kJj55C1NuQ2otwh2I0d6fONRCMcqDVkTLeeGqKfDt88dpqWnom8AcjLCi1cbRtlOr88dTz9LZgY5JPb6ngxOkpeganmF9socgUY3DcmyLbCUVijDv95JfVYzVn4O9pRGbJRJlfSZ9PlhJmAiAQnybgZ6Opa5x5haXkXPk1gkOdxENBFJnFnJzUMOJyc9vmuUxMBZh0B8nN0NN+eoIxly9le9/lCeJwBdhYn0eaSc3guBebSUUsFscdiND2IZ9ogDGnjyNto9xyUQXdA5OolDLSzWrc/hB9g5N8/ebFNLSOEI3Fqa1Ip713gjRjqp3jiS4H84qsKeOnh91MecPcdGEFLacn6OibZE6+idIcI2Muf0oUfSwOI04fzT2p6zfm8uMNhKebWFUKCdXl6bSfnsBqVPL1m2s53DZKMByldo6d3mEnUknqbbK5e4Ipd4jPX7WAU0NuRl0+8u16MixqRpz+FCvCQCjK4LiX5QsyyEnX0tg5TnaalvnFVibdIQTifP2WxXT1u9CoZBRmGpDJpDR2pH7XJ7odbFmZGgDV2DHO8qpM7r6plq5+F5OeEIXZBnRKCX0jqb76jskA464AOrWcq9aV0jfiJtOmJRROzLVncCrlPUYnfKSZVHzj1jo6+12oFFKKsg2YtAoaOztTjm/qHGfrqkLuubmWw62jTHmD1FbYybFriJ5OlXJEhjuJ+adAnXoduH2hFIlWLBZnfDKAWfP35QDYTUq+87F6DrWMEInGWFxhJ+Mc1pmzmMU/CrNkexaz+DeCKAjk2TQUrk3IOmKx+P/nnRuDSsbK+RmIojitUxQ1Z7Z9z2pWFORKBOW5G4e0KilF2UY6+1xJ4zaT+pzHh8NhqufY+cETh6YJiVQi8vVbFiMK594MlmhT/aClehsSnQkk0qSHA0EqRzRYkZ0+iOvdJ2dekFOBcePnKczSpxBuuUxgXqGFrv5kR5fibCN2iyYRQS6XIJOK7Gjo4/NXLURUprpyKOyFROUann75BC5/nIpCC0/+pZVLaq1UVhagkEvOaqhMbNWb9Ereagvw2nshbtl8GQdPjtB/cISv3JBNUbYhpek1HofyPFPKA05ZrhF91MXoaz8h5jtDkgSRtAu+jDQt4St9dvXyxgvnYNYrET7kI6xRybAYlBzvDPOfZzWxVpelUVlkJteuo/dDbh5mvRKlXMrv3zhJhlVDMBRlYirAl6+rRiaT8u3HDrCk0o5UEPjuYwe5Yk1JkiXk9HrnGDCdwxHCblGjVcn44k93sbwqg0tXFPLsthaefLOFBz6xFKNWkWSFCAnv8cJMA+0fui5NOgW9w26e29bOyoUJ7fHrj+7n9s1zCUfh/t8dYPEZ7+4HHj/I5hWFlGSnXvtF2QZUSgm/erYxqVJ9zfoy5pdYkUtFQmc1I0olImaDkmPt47y+u5MLlxZytG2UQydH+MwV8/EGwjzw+MHp78JqVPKt2+spyzXS/qEHnJIcIy5PMukEKM0xIZVI+MmzR6bTPwE+dVkVOempvtJ6jRy9Vs7u44PEYnFsJhVH28cIhqN852P1ZNm0KS4zZoMSk17B935/YJq8G3UK7rujjtI8U8qDYGmeiZEJHz9++girFmVRkW/mwT808I1b68jRpvaUSCzZCArNOcUcGqUsxadcEDizG/B3Ig7pBiWbl+YDfKTt6Cxm8Y/CrIxkFv9ymN2W+tv4YDv0H3OumRPFpCrU1nQC3UeBOEikWDZ9hoix4JzvFwjF0GvltJ2eIBROkIsVC7PIs+swaxVIpSJTgQhRQCEVkMlkbDvUm+SmEYvHCYWjLJmbRiQSJxiNE4jEUCokxGMgKtTI1Xqiy28nXLUFTf48jKULiRlzUZms+HsaE4shSrCsuwXRlMnEaz9Fkl5EtHwtEo2RyOnj6AorySoq5Ejb6DTpXVaVSXV5GiDQN+KevpGX5ZpYVZ1NS48TlzvAbZvnsrgiHV8gwqnBSWoqc5AqVVjW3oh+4TokGSVoypcQkyp4ZvcQP7xlHouypSxZkM1Dr7Rz6YoCctP1XLw0l4uWFbJ6YSa5GQaKM7Q89PwxbGY1UomIxx+m5ZSTkjOexKFwlMtWl1BVbMOgkVFVaiNbH6dtwDctVSnKMrB5sQ39RCv+M1H0Z75ZZAEno+YFTEz5uPumWtbW5rF1dSG/ePE4FyzJx2pUc6JrnDgJHe0nL6tCqZDw8MtNSd/3kMNLzRw784osHGkdnZaerK/LpSTHQGmeiZpyK+vr8lldk4XdrKKiwEowFGHM6aep00HviIfcdB2LK9JJt2iY8gWnZQpmvZKbL6qYDi5p702QZJVCyqcvr0KrkZBh0SKRiIgSkWgMVlfnkG1RU5hjpKEl0YQnCHD1+aUsyJZTmJ/O4dbRaRvDVdXZ1FdmYDYoCUdiLCpPI8OqQSGXUFVqQ6+REwhFqZmTRoZNiygkYsLNehWRaGzactGglXPzpgpEQcqfd3dz3x31bFySz8IyK4+/0cKF9XnkZui5fHUxG+vzWVebS16GnnSjil/88Ti1FRmU5pgw6BTsbxpkeVU2j73RzNRZ0iNfIEJuuo75JVZaTzun/68k18gF9fnE4zA+6WfUmajqp5vVbF1dzOiEj3fOkhgBdA1Msm5xDiadkpPdDuIk5Gafunw+Jr2SXLueQy0juDxBYvE4N14whzSTMpGIKRHYsrKYsjwjuZl65hclPuPZnv6BUJRMq5b5RRY6+lzTLiwFGXo2Ly+grdfFkbZR0sxqfIEoLk+QroFJliwqQSKTQvFyIvM2oVJKUdduIa62ASAIYYSQB4lURhwRhVRCUa6JA83DxGKJwJlbLqqgLMvIRzyn/038I39H/7di9n6dwN+SkQjx/+E5pA6HZ/ap9d8MNpuOsbFUL9dZ/HMgEkMeGCPmdSFoLYQUFuIf0YI0GYhw36P7WVOTi1wqIpEINHU6qJ+fwdx8M7sbB/nrvlMoFVKuXFtK/Tw7v/nTCd4/NpB0nooCM3ddv4imLgdPb2tj0hNkTU0OaxflYNXLaR908/RfWxkc81AzJ53NKwqxauRIhQAK9xBR9wQSnYWANgNpcIqhrg5e79awv91FXpqa6+u0FJlFHPoCgmEYHvehVkixGJTo1BKOtjlQKmXTTZ6ZFg0ZVjXDDh9OT4iXdnQQDEfZWJ9PSbaBuWlRBEcvzl3PE3FPoK1Yhnb+aiIKPcLUMJO7niM03oeqoApt3aV0BfVIRCkvvNPBye4JinMMXLO+DJVS5NDJcfqG3RxuHcFu0XD+4ly0Khk5aWp2HhvinYO96DRyrllfztwCAx7HOFNxLRNTAQQSRNUo8aDpP4h7z4tJ6yqzZCFc8h1Oj3l55q1Wxpx+6ivtbFySRzga52SXg9I8E053EKtRxY5Dp1m+IJv7f5caa/+1G2t5/M/NXLdhDsFwBKVcQnPPBKW5RnJtOvY0DbHtwGnUSilXrStjToGR3mE38TgMjvuIEz9DmMHnDxOLgU4jJxiOYtDIefLNk2xeVkSmTYPHH8btDZNmVjMx6cNmVhEKxXhmWxudfZNUFJq5am0JkXgEnVLBlC+CYzKAQSNHr5WRwQQjWHB5w0xM+lEppBh1CmxmFY3t44w4/fx13ykUMgmXrSlBKhGwGZT0j3l5eWfCIu/CpQVYjQr8wRhOt5+CDAPBcMLZ5Pm327j3ljqGHF6efqs1IcUqT2fz8gKUkhjesMgLbyf6A8ryjFy1rgxBDOH2Crx/bICGlhEybVquWleKSafge48fTLIKBLhp0xwWFFuICyLDDi+iIJBuViOKsKOhH4NWgcWgJHpGh/3XfadYXZPDb15pSr4GpCI//PQyDPFJBqfiuLxh0g0ybHqRbpeCF99pY/PyooRzilrOjoY+VlVno9fI2HG4n/1NQ9gtGq7bUE66Vcn3HmtI8Vu/cl0pAX+ItbU5DE4kHgAyzUr++G4XlcU2PP4wb+0/ndDyL8hCKZeyaVk2PQNenvprKyMTPpZUZnDR0jysOgVM9uPZ9Qyx0S6kOZWo668gpkkHIWFb6pj0Y9AqMGtlCB/ZHjmLfwZm79cJiKKAxZK6g/QBZsn2LP7lMPvH++8DiUTCM++0J1mXSSUC37xtCR19rjPpiTP42o01xKJRfvR0sh/0Zy6fj8Wg4tuPHUiqNG1eXsjqRVnc9Ys9SdvyVSVWPnHZfL7x8F7GXTNVtjSTiu/cVssvX26isXtm+10hl/Cjj9fw1uER/rL31PS4IMD9H6und8jNo6+dSJrTnddVIwpCUmw5wM2bKtiY62bkhe8nyW20VWvQ1m9l5LEvEw/NzEmRWUpo/Zf5/hNHGXLMbO8bdQq+eUsNT2/rSJKLyKQiP/nCCnY09PHKzmSrx3tvWYxjKsCvX2pMGv/cVQuo0rvwvPTtpHHVylsYttVy/1kR6wDLqrK49aI5fOln7ydJMIqzjXzh6ip++txxOvtnJBhGrYL7P7aEV3d1s6NhpnIqk4rcd8cSTnQ5eHZbcurkvTfVMhUI85/PH0sa/+Rl88nPUPK1Xx5M+q6vXlfCvGIb9z2yP6mZrmZOGjdeUME3H9k33RwHiebCe25axM9fbEySi6gUUn591zKeerOb7Wci1iHRBPedjy+lo8/F438+mTSnr1y/iFg8zo+fTva0vn3zPLLTtHz7sQNJ95FLVxZRN9fOfY/uT5IGzSuy8KmtlXzr0QOMOWe05FajkntuXswTb5zk+FlSC4VMwo8+ex67jg7y0rszmmdRgG/cWseQw8dv/5RMnr94zUKUcinff+JQ0vitF8+lKFPHtx49kBSgtHFJHtctT8f51FeJB2dIstRejOqir/DtPzQl+Y6b9Uq+/bEl/OHNVg40zzQNSyUi991RR0vPBE+flTAqCHDvLXW4fak+71+8ZuEZSU7yXK86v5TKQgv3Pbo/aa5LKzO4fWMB3me/OiOHAiTWHNSb7wbpueVps/jvw+z9OoG/RbZnNduzmMUskhCLg8MdxOkOYjEoMWvlH1k7ikajnL84F5Vcyq5jA9iMKq5YV0KGTcWjr55IOd7tDVEh9vCZy+bxp/dPEYnGuGhpHmWSXhqGMlK2dHce6ae+0p5EtAGOd4zjnAzwwI3l6CNOom4HEp0Fl9TC0GQoiWgDBENR+iYi9Ay4+O7HFjPuCqBUSIlEohCH3Y0DXLKiEJVShkCiecztDdI96OYHt1ZiijkgGiWgTuPR7QOs1U7y4fQfb/NudNUbkog2QHCwndGJAPlpCu6/xIzEP0FMaeSFoyGGHP4UXXY4EiMUivLekeTqPyQkAeMTXn78+eUMjCWqnZlWDa+8307BihLim7+Ny+UhHIlhNWt5rzeIFm9KI+TepkEuXZloXPMEwrimgolGyHiMEWeAJfPspJvVNPc4KMjUs6gsnVAkSppJxReuXsiY049KKcWkU+CcDEwHtZwNQSrQ0DrEg59dxsiEn1g8jt2i5qV3ulhbPZ+HPr+cIYefYDhKplWDNjTMSYeXBz5Zz6Q3jNsbwm5Rc6J7FKc7kES0ISFtGZ7wpeiy/cEIjslYiqd1LA5x4uxpHOSSFUWolFIEEk2TTneAzj4X6+vysBiUxAF/IMzeE4NsWprPnddW88rOLpzuACsXZpNp0zA45kki2pBo8pxwh5KINsC4K8DIhC+JaEPCAcYxGcRu0XD5mmJ2HklUrLesLCYYirD/xCA3rkynUOMDQaDZqeTQyRFuubiCmy+qYEdDH4FghBULsxl1+qifY+TuG6p5YUc3Yy4/KxZksjwvRnCkJ4loQ6IZMTo1xie2VPLnvado6hqnJNvIpasSVe6DJ4eTj4/GGBxLeNVfvb6Mdw72olXLuHxNCbFYlNx0Ld/75FJGJnwICKSZVSjkIvubRlKujZ2H+zHpFCmpqvtPDHHZilykvuTmzOh4H5GpMaTmvJRzzWIW/w6YJduzmMUsphGPw57mYX7/RqLyJwrw2SsXsKDQ/JHaRrNaxpbleaytyUYhlyAFRBJNah+OFhdEkLiHKGt+mruWXwWiDPHwTxEzytDYc1PPrVee0xNcrZQik4koB48ysuMpEuZ4Aua1N5JbtCwlgQ5ApZBw9fllPPDk4WlbtkXlaVy/voiNdXk89VbrdJU8z66jdk4ai7IlhN/5NYGRRIVZ1Jr5wsVfQZxK1ShKtCYQUy3IBKkcq17OJyqncL06Y2F43YprcBoL0apkeD7kVCKVCpj0ihT3BZ1azvxiKz/6w+HprfzsNC2fvqIKfyjK4zsc0w11Bq2LGy+sOOf6GTRypBKRvScHeWF7whVCFAU+uXU+Oek6nns7EdCzuCKdgTEvj752goe+sAKjTsmvX2qc1kHXV2awcUmCoJ7dlAeJOPWLlxXzs+ePTTdnppvVfOHqhUx4wvzujRaazpBPnVrGV2+ooShTyp/3npq2NpRJRe68dhFGbeqtShRArUxovD8cLy+XiZj0ytR4+ThcsDSfp95snV7bwiwD583PwKhV8OI7HdPWhlajkus2lBMOx3j4lUa2rCrBoE3ILA61jHDN+tKUOakUUuRSMaXx9IP/UyulKQFDUonAX3Z3I5GKXL6mhElPiF+8eJRPX17FNXV6tHt+RWwq4am+wpKLZ8kdTLgCPPtWGzVz0lHIJWw7cJqiLCNSAfYePsWCUhtmvYK9jQNU27WYDKlOG4JEhihTcs8v93L3jYu4dGUh/kCYr/96L//xueXo1PIkHTkkGmif+WsbFqOSL1xdTTgS4Rd/PM4lK4qQy6Q8/HLT9O5NhlXDJ7fOR38OpxCLQYlakWqzp9cokEmE1AZJUYJUoUw5fhaz+HfB3zbkncUsZvE/FqIoID3Ll9vhDfLEWVvssTg8/EoTk/4EQRCERCCK8KGOpGg0YSf4ASWKRWHziiLkUpGiLAPZaVpMOgU5aXqUJbUQi6DoP4Jq4DBR7xTqqvUUZRnIsMxYwomiwNXnl6GQiswtsGDWKynNNaGQS7j6/FLy1AGcO59hJogizsTOp9H4BrlqXSlGrZx1tbkUZhqoKraSY1Hy7NvtSWTncOsofWMB2vtcSXKU08Nuxlx+hKEWoiMzUo6YZ4Jg03ak1ixk1uyzVkDAtOIqYhIlqsIFSWtjXLoFuzDB5M6nkqrhk+8/j10Y59oN5UnHl+eZEAWRy1eXoFbL+NRl87l0RRHpZjXV5Vb2NQ0lkcj+UQ9H28aIx+K09zrJtGooyjLg9oY42jZKTpqWwsxk28brN85BoxR58Z0OairS+OyVCyjM1PPY682o5CJbVhaTYVFz4dICSnMNLK3MQCmT8Mbu7iRiu69piGA4yqUri5BKZq4Ji0FJtk3D0dYx+kc95Np15GfoGZnwsa9piElPiKbOceYXW1m9KBt/KMpLOzoZcQaSPMTDkRi/e/0ECBJWLcpO+gwXLi1Aq5Jx+dpiTDrFmUZEHdVlaWjlca7fWI5MKlKSYyTNpCInXYdWJaelZyLpIaZ7YJIxp5+JqeA00YZENbqjz0W+XYNZr+LZbW08/HITnX0urllfQoYlYd13Nq5cV4pNL2PDkuQK7Pq6XOwmJVefn0zQ5xZY0GtkXHt+Id0Dkzz8chPPbmvDrFOQZXUzFSIAACAASURBVJZhGzsyTbQBYo5e0r2dxEk8cO5pHGRHQx/+YISLlxfQPezjnSYHfSNTTHpCdA14eHy3i7ghC0lRHRKNEUVmCYJciXLJFQhaG5uXFfK9xxu482fvc+9v9rNiYRZqlYxLVyb+fktyjFiNSkpyjBi0Ci5bW8L+E8N8/eE93PfoAQRBoLLIyvGO8SSZ1NC4l8bOMSqLzdiMKjKsGoqyDcikIltWFZOXrqI425C0HtduKEcmE5CWr0waV9RuwS/76ETcWcziXx2zmu1Z/MthVgP2z4HTF2Z/8zCnhqY4rzKTshwDAw4v3/39oZRjv/vxevJ1EWIDJwh0HkSeVY68sIaA3PKR55cJYWJj3QSadyIoNCgqVhAz5AIxekZ87Dw6QCQaY9XCLIrtKgRRxqg7RO+wG38wTE66jiyrmuOdEyzKiBLtPkh0pBtZ8WKcumIyowOM/emhlPdN2/IlBL2d0MBJAt3HkKXloSqpZVS0c9ev9qZUvG++qII9jQN09CZb/21ZWcwGYRfBxu3Jn8uWi3bZ1Si0OiITQ8QCXmSWLAKOIcSMMoSRNkS5kqjPjVRvIdDXiqJgAeMv/TBlrpZLvoTDOJfBcS8DYx70Gjn5mXqkEoGJySCeQJg9xwcx6RQsq8oiJ13Ng08dTbH+W1Sexq0XVzDWcRLz+FEkITfuzMX8tVvOpWsriERi9I548PjDZFo1pJsUdA16SDOpOdYxRkevk/nFVkpyjQRCUQwaBSe6HTR2jFGSa6K6LA2JCF/5+e6Uz/CJrZXMKTQyORWhd8SNXCqSa9eTZ9fyu9eaybXraT09QTyecPfoGnBx/YZyJGPtxLsOEPW6UJQuYeewHoXezMMvN6a8x/c/tZRINM6Y049jyo/NqMakU+APRbEZFJzscXKkfZSiLAM1c9IRALVKQmefm72Ng9gtGuorMzBopPzwqSMp9oWXry1h3OlPkcMUZRu48cI5aGVwetSHLxghx6ald9jFvJJ0ItFEvPmUN0i6WYPdomJwzEuaScXwRMID3GpUkWlRMzTuxaRX4vaHGXF40anlZKdpGXJ42XOsn401GYw4A6gUEpRyCVEkFDY+THAw2Y9aPec8LBd/hra+KfqG3YQjMXLSdWQbYhw9FcBqUnOweZhhh5e6eXYkgkB2ug674CB+6gihoQ6UhdV4LOWMhDQYdDKGxhNzNeuVZFrVRKJxmk/2sCxtinjXAQRLLu70Knp8OiqLTQw7AvSPelDIJOSma8lL1/LAk4dTrP8WlNj42g3VBIa7CbXuJu5zIS9fQSy9GEFQMOkLcmrEi9sXJsumIS9NTkufD/+kk0qjB9HnJKaxsatPSnFhBgVpH62JncV/D2bv1wnMarZnMYtZpMATjPKd3x+c1sEeOjnC1eeXsmSuPWVb3qhVkG6QETj4It7GHQD4u44ia34f/ZavERLP/QMjjLbjeuXB6X/7m3diu/p+Wr1Gvvv4oemH4L2NQ3ztxhqshjj3PbIffzCCKCai3T9zeRXzMwS8rz1IzJ2o8AW7j6CsuhBp9UoEhTpJiyoqNUgMNjzHtuE+liDJ/u5j+Fr2Irv8h1SVWtnflKxFTTepqS+3ppDtIrsCqaQihWyLBYuJKzQM/+EbZ0ZkQBh5cS3mokUMb3/iTAVbBGJIjeko569DVOmI+WduSoJMgcRg452GPl57v3taemDWK/nx55bQ3uvn4ZdnmuPeOzrAN25dTHVZWgrZXlBqQ+UfxbznZ8SjYSKAqvMgV6//LKFYhG8/1sCUN4ROB2433LCugEWVufzkmSPTUp+j7WMsrczghgvKePLNVvadWaej7WPsPzHEt26robLIQtOHwnYyLSq6et385wvHUCohEEjIP37wqSUsKk/nwacapj2Z958Y4s5rF6GZOsX46/9BPJy4/vydDazecAddmqwPX0YUZRkwqOU89NwxOvpd0+u0sMzGHZvn8uKOzumUxaNtY+w5PsTdNy3iYPNYUoPujsN93H97HYvK0lPIdqZFg92sTiHbdRV2BODOXyYsFWUyCIcTsenLFmRx16/2M+r0T4+vr8tl/eIcvvnIAbz+MFoteDyJKvT9d9Tx9sE+th3oRS6HUAhsRhV33bAIhULO/U82Tl/3kGiQlBbXpZBtMXcBJ087ue+3B4lEY0ilEIkkmhEzbVoeePzgtIXl4dZRrt1QRl2hEucff0HMmegD8HcfQ1K2goxlN/DoG200tIxOv3dRloG7b17EEmkbgbdfSbxp92Hk6nepuvRejnc6+eUfjyORJHa0FDIJ37pjCdVlaSlke2F5GoHRfqb++B3iZ1JpA+0H0FzwOQKZ87n/sQZcniAKBQSDcO36MhaU2rj3+WOEIrEzcxrCpFNw38LClGtjFrP4d8Es2Z7FLP6nQACXN3GTNWpknDMZ4gz6xzwpDWev7Oxi+fwMvnxdNT9/8ThT3hAWg5IvXr0QTdjJWOO7SceHHf0Ik0NgKkk5v0yI4jnwavJgNEJscpi9rf6U3aa39p/m9s1zWVyRxpqaXKKxOC5PiBe2tVK31UjAPZZ8qqZteCvXYNv0KRxvPUrU60KiNWLZcAcjEQOx4zuSjo9MjiGLRdmwOA/HGXmATCqydXUxaoWEat0onXNM7G1xIgpwwSIbhfQjteUgX3AhoeN/hXgMWWEN8sJquj0KMjbdyZQ6h0BEwIKL/okgoZAS26V3MhRS4YsrMDKJ2aSh26cl58LP4vTDFBp0gh+LIkynT8+b+xI7CR/sMU5MBfAH47y6qzvpMwRDUTr6XCwstWBSlVNuSDTNtbhU5GcZiPa9TzyarP2OHX+DvupCLl5WwPwSG4FQFJ1KxvefbCA7y5qiqd/bNMTG+nxOdDn41GXzUSkScffPbmsj7PVRNy+DKW+I08NuFHIJlywvIhwI8vruHiBBtCEh/1CrFDTs60tKLozHoaFlmPkFfdNE+wO4D76B/ZJaPr6lkif/0oI/GCE7TcutF89l1OGj44w7ygfrdLRtDKc7xHsfIshDDi+9I15e3ZXs5OL1h+kamGLxvHR6R6Y43DqKKAqsX5xLjl1L98AUa2tzeLchMefaM+E2GVY1V68v46UdHYTDMUpyjFy6ooi2PjcrF2RRNy8DbyCMQSvnoWcOc/GyPL54zUKauxzIZBLCkSgV+WbS5X6Otg/zk88txeOPolJI+euBXsZcfkpyjFTkm9Fp5MSBKU8AiQCtFJJXtIRY134QRIQ5q2gPpTPSO8XdN9agVsmIxuJoFBJ+9XITG5fkJ4W+ALy6q5sNufZpov0Bom3vo150IU1dDtbX5WHUKfD6w+w80o/gdRI9/uek4+M+F5LJAV57P0Gao2eex4PhKF39LjKsapZVZbGnMfE+yxdkkW3TEOzbP020P0Co4RVkF1dgNSq5bfNcBCHRlPzCjg6WVdn5/NUL+c0rTUx5Q1iNSj59WRUGlWT6QeT/T0hkAsMTQcLRGDajktkA91n8IzBLtmcxi/8B8IejvL7nFNsOJCz4zl+cx+Zl+ahkqQ17kBxkc/ZYLA7FGToe+Hg9nkAEvVqGSiYS93/ENuF/qUI71/+d+/g4iabArDQdDzx+iGA4ytxCM5+5aiFCuPucrwhHovxoe5h7ttyFNOghLNdw36vD3LIhxDmDl0M+IlEJSyvtXLKiCIDmrjE0Kjmqhve4Vilj86YaBGJoel5DOV6AIAaRyJXorrifeCxGfGqY4O4nkdd/nn39Vp5//jiBUJTyXBM3XDgHQRBp8GXy6GuJkJIsm5ZPbc1HEAVawhk8+ucTjDn7MesTJMOgkXz0En7E8tnjIxgc2/HuSkg6Fs5fhTJzJe5o9BzHx8iwanB5wtO7BkVZBr50zULcHxFEIQrwuSsX8OhrzYxM+DBqFdxy8VwEqcgzb7VSOyedJfMyiERj7DzSR64579yfQRCmPaDPRiz+UYwpDiEPcqnI/XcswRuIYNEr+M/nj3DluvKPesW5lykeP+c1LpOKPP7GSS5dWcjm5YVIJCKnBlwcaRtDp5ZjNaq5cl1CVx2LxYjGYngDEUqy9Nx/ex2hSAylXKSt10VVkQlfQMv9v9uP2xcmO03LJ7ZWEY3GEAWB948PMO4KYDEomVtoQRBlfOGqRTz0fBN9I260Khm3XFSB3SRHJpXwynudNHdPJLy/VxejyJDwaosXIbKYlYuXEYvDtpYAOZEwF9ZnsqOhn7/s7SESjbO4Ip07LplL74gn5TMn1uHcF5lEjHHjBXN4dVcXo04/Jp2Cq88v/chmLlH46N+OPY1DaFVSvnzdIgQSjkFNXWN8SJZ95niIx0VW1+Tw65cb8QUiFGTq+dLV1USjMDfXyP13LGHKF8KkVaBX/nOIti8cY8+RIV7a0UEoEmNekYUbLpiDTfv3xcHPYhYfxmyC5Cz+5TCbSPX3QRDgWNcEz77dPk0+ugYmycvQk23VnPM1cVHgUMtIknXZxvp85hdbIA4yiYhGIUV6xslCLQkS9boIO2aqY1KTHV3lMkJSfcr5Y4iojCb8rftmBkUp2trNyA0W9hwfSLr933DBHFzuEA+/3DRtUzfm9BOJxlhckUags4F4aMZOTTt/NWJ+Ne+fGOPRbf28dHiKVw6Ok2ZSsb4mA3nYTWj01PTxEr0VXc1FNLSNUZRjwjkVQCIK5GUY8PjD5Gaa8Bz4E7L+I0j7jxL3ujAtuwKf3Iz/nd8SOvEOoZM7CXc1IF16A+MY+MWLx6ety8YnA7i9IaqKLdz/u4MEzqyr2xei5bSTFQuzefCpwzinzsgmghGOtI6ytjYXURSSPa11CjYtzUGrknO4daair5BJ2LqqAO3wMdwH3+ADqhka6UGRUYCYNYfgyV1JTZjqFTcxHDPx0LNHp72rne4goxM+zq/L5Vj7WJLjRG1FOnVz7fz42SPT9nWBUJTDrSMsXZCLWQWv7+2judtBy6kJRFHgsuW5mM16Dp2csXiTSkQWV6SRZlKzt2kw6dq4Ym0pmRY1/ta9iU7aMzAsv4opfTE/f/E4r+/u4b0j/by57zT187NYXGal5bQL51m7MfOLLayuzmDSG0lqbEw3q9m0rAClXJqUVKpWSllfl0dOupb/ePoIO4/0s6Ohj+Od42xdVUQoEuOx15s50e3gRLeD5p4J5hZa0Sll3P/YQd5p6GfnkQG2H+pHo5aRk6bnR39oIHgmOXXKG6Kzz8V5Vdl89/cHcZ0JqfEHIxxuGWFRVR6/eeXEtIQlFIlxqGWE86qyefdIPw0tCQvIaCxOU5eDJZUZZNt0vLyrh/2dXg50eZmYCnLlmlJGnH6efLNletdgYMyLRiWnZk4au44NTid8Aly2upi8LDPR08eJB2bIuKRsGfGCpfzsj004JgPT3/XJnglW1hUjIUZsaMZPW1TrYf5FGCxmGlpmvmu5VGTzikQY0e/fOMnexiH2NA7RPTjJ1lUl2Cw6wi3vJ12XquU3MBi38pNnjkzP1eUOMu7ys7wqEyEOSqmIQSVDLhH/affwrmE3v3ll5jdo1OknEolSVWr9L3cK/zdj9n6dwN9KkJytbM9iFv/mkEhE9p0YShnf2zRMfUU6Y1NBTg1PEQrHyE7TkmVRMTrh55IVRQyOexmd8FGeb2bE4cXjCyORCPSOeJhwB7EZVeTaNKg940g0RgxLLiE42InMmo1UYyA8PgRZqTpbgFhaOdbLvob3+HZElRZ15VoUGYW0N3fwletreP/YAOFojBULsxgYmUKQpFbhD7eOMro8F1P1BiKTY4SdwyizSoh4XCgdHXzsojIOdThp7nYwr9BCTYkRuaMLV/lG3LnrGXT4MWpk5KVrGPPGeOW9bvzB9qT3uHlTBWXxAWybP4fn5B4EqQxtxXn4Bzto0dSTdsUv6BtNeFVn2zS09YyiUPn43JULiMTiBEMRLHoV7zScxh+KpXhaD417GXP5U2zUAqEooy4fwVCEK9eV0tIzgd2ixm7REPdMURE5weevqGRX4wgmrYJV860UyB24u5KDVwAC3ccwzT8f8YpvEjjxLvimUFSuQbTmMdzuTTm+qcuB2xvivPmZuP1heoenKMkxEgrHGHH6sFs0XFBfkEhMlIp0D04y7PCxeK6dwjw7Qw4vGqWUnDQN3aNeMq0q7r9jCf2jHmQykZw0HcFQkOaece66bgG7GxMR28ur7BzvHEdSZqNy610EWt4n5nGhrljGAaeZchG+ev0i9jQO0Tvspm5uOnPyzOgdTXx8bRoN/TZOnnYyv9DMwvQw2vEWNi8rpTDTQEPrCMXZRpbMtRONxugfmeLaDWWc6HZg0avIz9AxMOalKkPky9ctYueRPpRyKWtqcsiXu9jV7UtZp/3NQ2Slafj8VQsIRWKEwlEsBhXbD55meMLHh3vve0fcON2BFCtHbyDC6IQ/KTwGEhXeIYcvxWsdwBcIc6R1jFsvnktj5zhSicDcQgtqtZSGtlTv6oaWETbW53D3jTW8f3yQIYeX8yozKc3Wc2LQg1B2A/nBNpQTnXjtC9jvtlPiDKXIyYKhKAPjPponClhVfwuawQZC+mwG9JVMDgvMLTDzxWsW8t7RAYw6BasWZlOaraN7yMM9N9fyzqE+BAHW1OSgUUpR2PIQLrs30SjtcyGrWE3cXspwV+pu2cmeCSa9IcznsAv8Z6BvJHVOh1tHuWRFMQbluXcJZzGL/xvMku1ZzOLfHLFYnPI8M0fbknXN5XkmJjwhfvTUjCezVCJwz82L0all/OTZI6Sb1VgMSl7d1YVJq0AmE/nju11JKYGXry7mygVaPM3vI5Bw4/B1HCLqniD9yns+cl4RZEQs5SjXVxCPQyAag2AAqUTkh39oYFlVJjqFnIeePcL6xXmU5qZae+XZdWhkcZzvPYtUb0OitzDZ8CaiXImidjPv7+7nSPcklUVW3j82SNjv57Jleew+7OK5t2dIdVWJjdsvMZGTpk0JQTHqFMRGHIy98QrauecRD4cYffnHGFddi92q4wdPHJquqCpkEr52Uy0Kmchv/3RimjyJAnzhmmqU8tQNeK1Khl4jRyYVkyqOopBoPm3qGsfjC1OYZeB4xxhvH+xlWcVSFEONFPa9QNW85UTcE/hfPULsym8gSy8g0JeczClPL6BvzMv3nxlApaxAJZdy6qlx7roxH4NWkTKnTKsGhVzC89vbMeuV2C1q3j7QSzQWZ01NDkVZhqTmwvrKDLKsWrpG3Pz8hWPTlcaSHCO3XzKPKW+IHz7ZMF09txlV3HntQjaWSIhv+ybX6W0gCIR3jJC94U6mlAq+8uI4WWk1mPVK9rw4wK0XF6ISQ8T3/IprKs9DuaKC8bceQ6Y5D9GWgeLpb7HKms3Ggjn4uxuJHhtHcuP3aGxx8ObeHmor7JzoGmdwzMONF85hcNzHoZZRirONtJ6e4N3DfXzxmmqkza+R076Pu677NrGgl+GnPw0bP0GePT9lnUpzTKQZVfzshePTREwUBe68thqZNJV8GbRyNCoZUomQFNgiEQXMegVGnSKF3Bp1CnLTtbScSg5iUsik6NQyfv9GM8XZRiLRGPtPDPP5q6vITtOlvHd+hh65VOSJ1xu5asNc8jL0PPRMAwaMGEzpfPuFYcz6dOyWAk63TgFOvrVQhlwqJoVGCULCh/1gj5+3T0BR1locpwOMTAzz1RuymZgK8Ks/Hic/w8CY009L9wR331SD0x3kkVeP87FLq4jH4VcvH+Njl1QRicSJG/MwrrsdiUTA4wkhAAZNajXUblGjUvz30RKrMdXLO9euQztLtGfx/4j/dhlJf38/N9xwA8899xzPPfccjzzyCL/85S+54447WLNmDc8++ywvvvgizz33HNnZ2eTl/X0JUrMykn8/zG5L/dcQBAE5QUQhIdeIx8FqVNPYOT5dUbNbNFy9roSTp5zsOjYj/YjFYdTpY01NDoFwlKYuR8JPGoEvXrMQXyA6HWjzAdp6naxfXYXeYsHbdoDo1BjxkB997SbkBfMJo0StlqEMOpBJIByfaSkSRfCHYnzgzSEIEiRSkY4+F83dDnoGpzDrlWxdXUKmRc2w08eGhVbOrzIx4U/4bEcCQSREydj8WVT581HWbGJSkYlbNPKL1zqoKTGxMEeOPyrw10OD1Ffl8OtXmpMiv0cmfNSUpyWaBINhbr6wjAWlVuKxGEurstEazUQHW5FoDMRjUQSpDPmCC9jd7qWlx8EV60qpnZNO7/AU4y4/Rp2Stw7MRNTHgVODUyxfmEUkGkcplzCvyEokGmPTeQUUZxpIM6s51j7zQHT1+jKKsgyYDSpu3FjCBfPUbFySy/BklMrydDxSCyrvAIGcxaDUERclONOqMdoziQx2Qt5CREsuUlFAVXMx+7oCnOxx8vGtlVSX2hhz+Th5aoIVCxLVa4tBxZx8M6FwlJsvmotCKaBRKrAYlFSV2IjGYmyszydNL+GXLzUTO+uHs3/Uw7IFmfz2Tyf4wjVVXLGmlM3LCnl1ZyuluVbe3N+DLxBJJE9aNPQMTrFoTjrpw7sJDXZAxhxiKiM4+1HLJTh0pexu7OP6jXMoyjLgcgc50TNBfb5IaN/zhEJhpkYGiY92Ee4+jKxqA0qNHtmKm4jZSlHOXYnaaKZfVcrPXzjON26tpTTXzHlVdh55tZm6OTbml6Sxt2mIYYcPjy/MovI06udn4JcaUPQfZurg63iadiJa8wmWX0BYVNA77J7egTDrlaytzcHpDvH2wZnY93gc+kc8rF+SSywep6s/4WIjEQU+sbWKDIsahVya5BizZVUxBRk6SnJMHGwenr4nravNobrURF6midEJH5euLKIo24hcLmFVdVbiASUS5cp1ZSwoseF0ByjJMZGXoaezz4XLkyDuBq2cmzZVMDjmZUfDaa5ZkYk65iUq1fD8e/1sWpqLVCLhWMcYYy4/0WiMj22ppDzfSIZFy6jTT3V5GjKphE1LC6jIM5GXaWDP8YSnu9cfZnlVJovn2vnDm61kpWu5am0plcUWdh/vJydNT9fAJMc7HOxpHGJv4xCBYAyLQcmcXCPxOAQjMbyBKHKJQDwOapWUKX94WlYjk4p85ooq0vX/dXiNIAiEo3EkktSwpv9XKBRyBsc9jJ6RUKmVUj6+pRKjarZN8qMwe79O4G/JSP7lfLa/973vEY1G+eY3v8maNWt4+OGHKS1NTer6v8Wsz/a/H2Z9Oz8asqiXWO9hPA1/QVTq0C+7krCpiBgi/nCMIYePOHEyLRo0CpE/H+jjxXeSrcNsJhXfvn0JLm+QU0Nu3L4QmVYNOWla+se8PPjU4ZT3/eZtdZSnSZG4Bwm7RpBqTQiGNLyCCU1gCH/HAbwn9yDRWTEuvZSgpQx3IMrR9nHe3HcKlULK1tXFLCi28P7RXvKzzAw5fMRicTKsagaHXNRXZSIONTO5909EfZNoK1ehKK7FKZgw+04xeeA1Qo4B1CU1aOcup80pxS7zIbRuJ9DXijJnDrHytYwKVu59JNUr/KvXV5NtVbH3xBjvHknERV++ppgsm4Ipp5tMbzvuQ28gSGTo6rfgt83hQJsTjUrOa7u6CIaibFiSh0QiICDwyIfi6OVSkR98ZhmTnhBv7uuhZ2CK2go7C0oTwSdWg5KJqYQu1WRQYtErcHr8zNd78bXswdd2EKk5A+OSzYyoCmg95WTKG2T7oT50ajlbVxXj9YfJsKoYm/Dx0ns9iAJcsboQq0nDpCdINA4vvduJLxBh/eJcCjL1pJlUjE8GeendTobGPayszqZubjpOlx+NRsFr73fT2e+iqsTG+rpcYgEfdz96NGX9vnZjTSKVsGmYvY2DpJnVXLaqGKNOzraDfWiUMvY0DqJWSlm5MJuiLD2WU+/QLi3hpYZJYnGBrYt0lEVaCZZdwMhUiJd2dOD2hVhbm0tpjpF00cX4uIuXjwfocwRZWa6nXtePqWwhIjF8DW8QG2xBzK1CtXAjvQEdSrnIjoZ+jrSOkpeh49KVRUgEAbVKii8YZXDMg0Ypw25W4wmEmPKESZf7CY33IUikyG25hOVa/rL3FGqFDKNOQRwIhiK0905QNzeTx15vTloLjVLKvbfWIQhx3L4Ik54gdoua/hE36UYVarWc/jEv42d8trPTNITckzSe9rKg3M6ww4deI0chxhlzhzHolHT1u9jR0IdJq2DrmmLy7Br6R32MOv38eU8PElHg0pVFqJVSMo1yFOFJegedRKIxstONBCUqJHIl9nAvrr1/IuoeR1NxHoqSOgajJiQSkfGpEM6pxFzTNAJD7hhqhYRtB3o51jFGeZ6ZTecVkK5XEI1HGJ2KMDTuRaeRYzer0Cpk9I176ex3sf1gb+K6XF2MXCryzqE+9jYly9lq5qTz2csqaemd5I87OvD6w6yry2VxWRo6lYywd4JTExHcvghZFiV5+jg+6UeH10wFImw/1Mv+5mFKc0xsWVWE5R8sOXEHowyOewmEomTaNGQY5UQif/t1/1sxe79O4G/5bP9Lke1QKMSKFSv43e9+x9y5c2fJ9v9SzP7xnhuCICB2vYdr+2Nnj2K75n4CutSoc4DuEQ/f/f3BpLHL1xRTPy+Tex7ek9Qguao6i4uXF3L/oweS9MUZVg1fv6kWtSxVIqGSifj3PY37yFszgxIp9ivv4e1+LY9+iJDee8tihEiA7/whObjkzisqqLV6GHnhgaRGKsPSraiKqhl54YEkP211aS36NTcx/vx3iThnfLNllix0l93Lj55voalnRi6ikEn42WcXs+3IKC/vnLGEk4gC37ptMZmeFrxv/SJpTvqt99AezuD7TyQT949vqcRu0fCd3+1P0uyurcnhhk2lfPbBXUn2a1XFVu64ZC4PPn0kqZEvzaTi7ptr0R58DF/L3ulxQaYk/faf8MohJ89tO6tBTUh4Lzs9Qf7z+WPJ63dtNSqFlO89fjBpJ+/mTRWU5Zn41m/3JUkFzl+cy6Zl+dz/yIGkpsOyXBOfvbKKH/3hcJItOMRg8QAAIABJREFUoEYl42dfWsZz27rYfmimyiuXinzjtjo6+1088ecZ2YkgwL23LiYe8PLdp5OJ6teuqkCu1fHdxw4krd8168tYu8DGZ366b7rBFGB1VRrXr83F//J3iJ6Vpiix5aO95Ks89HInx8/yd9apZXzjtjp2HR3gjTOWhJCQUH3ztiX0jXp45E8z/uUAd99USzAc4f+w997xdVR3+v97yu1d0lXvXS6yLLk3cANjbEw3EEqoIZuym7ZJliSEtE2AJGQTUiABEiAQMCV0gzHNxr0XNVu9d+n2MjO/P64t+fqKbPL9JQshev7TeY3unJlz5swzn/N8ns9P/hj/kXHT+mnkplq466E9cfd1zYI8Nq4s5va7347zpJ9WkMTtl8zk7sf2jZeoh9gz9NXravjtC8c4eoZPuU4WueezS9l+uIunt058FIuiwF23zadnIMD9mw7F9ekr19ZQYezH8+z34tpNK2/D7k6n9+kfgDLBDm3V5yPNuZzP/Tz+ua4sdPK5y2fwg8cO09w1oSVPcRq586b5PPP2Cd7eP7ErZtBL3PvZRew63s9jr9VN9FWAO26cjy8Q5idPxN+/L19TjcWk4zsP7Yq7fzesreCCUuj7451xtoDWmeeiX3w9ETVxrYlqGj/fdDjO591pNfDd2xZg0U/JPD4sTL2vY/inKmqzdetW0tLSmD59+njbl7/8ZTRNo6amhi9+8YvY7YnOBx91qGgMjoXxBSO4HSasxr9g9zWFKXwAdFqQ0X2vnNWqEe6qRyjPnXRO5bmtfPaKWTz5Rj0ef4TV83JZMjOTxs7ROKIN8O7BLs6pzuZzV1bx9JYGTnaOMr0wiQ3LivH5w5gdidu7kr8H71n+2yhRIoNdbNmdeHw4qrDvaGJy11sH+6iq7Isj2gDeQ2+ic6bFEW0Af8Ne7PPWxxFtgMhgJ3pfL9dXRnjO6GJX/Qi5qRZuWGxHUdU4OQDEnB/aej24W99M6FO0aS9N4lK+fU0ZhWYPmhplRErm16+3c9GyYj5/1WyefL2ewdEgS6uyqC5PZXg0kuBzfOjEAN1DgTiiDTGng+4BH0WRCKGrf0PfSAC7RY870MqAV2XL7ta441UNhj1B3jkQ75cM0D3gJRBWE+bAlj1tOKz6OKIN8Na+dpZWZcURbYhJhvpHAlywMJ/dtb0cbuynKMvB6vm5jHoU3t7fHnd8OKrS1e/jzT3x7ZoWK0X+iz/FXwPAzoZhMlOVhOTCN3a3Mn96Ghcvzac8PwlvIILTqufhl+tQhnviiDaA0t+CMtIXR7QBPP4IXf0+tpw11lFFo73Py7YD7dx9SyV2ZQhBlGkLWOgdDjA7JcBdty5g1BdGVTWcNj0OdRSn2s4Xrqzk8TdOMDwW5JzZWawukdAHB/nKdTU8+kotHX1easpTuXR5Md2D/jiiHRsfHz2DAa4+rxRNExgcDWA36zGbZFQtcV6qqobDbOCJffHJvAC7jvVQtUDH2fRGObKZaNXqOKIN4D38FmmzVrF2cT4V+cmMeUMkOYy8+O5JuodCcUQbYmXquwf9vHsw3kUmFFZQNDGxrxo0tA+zuiaTr15XQ0e/D0GArBQrRZk2tuzrTJiXr+9qY1l2aoL/tvfYe6TVrCWiT0247hFvOKGg0og3RM+Qn6L0RA37FKbwUcJHimw/88wzXHbZZeN/P/7442RkZBAOh/n+97/Pd77zHe69996/6Tf/0pfG/wV8gTCbtp5g06mohc2s41s3L6A8P+lD7ddHHW731OJ5NpSQjNdkSyCYstGEI+WD71d6mo1ZxSmEoyqZKVZkWaSjP9GP12SQEUWRHz2yi8tXlLDhnCJOtI/wg9/v4qf/ce6kYxLsHkA0mlG88S9NQdZhNSfqHFVVwzmJZ63VLCLoE8m5aLQiyInHCzo9gjh5NEuQZAw7fsc16cVccf5s5NFjqO9uR3ftfVhN+gQybNDLYEhcJwSTnTUFOsLvP85wSywSqkvK5L/W/xs7eyM8/motV64qw2HVs/1QFw+/dIxv3TQ/4XdkScSgk8YrH54Ji0GmY+Yn+clDu/EFIggCbFhWxOo0A1aTnoGRYMJvTZbwqCFgnURXajXp0E+SyGc26pDERM2rKArodRLhqIIIXHxO0bibSkm2C7NRl+CqotOJ2CfZyg+FozjsiY7nJqN+0iQ4q0mPLAmEotp4JNli0vGlq2ej0w0QSPgPAVGnR5bEOH0+xCLuVrMuLkIOYNCJfGldJsHNPyU0FPtoycyvInvR9QRCZp5+s4GjTTGtdU6ajc9dVIgcGKXg/Qe4Y9UniRrTMda9ivZ+K1x6B8++Vc9/XldDKKxgMkj8x0/f4+ufnJvQ09Pn9gcUfvrkfvzBKIIAly0vYensTKxm3bj++jQUTZv0vtotepRookZWM9oQ5MQ5IBrNaKKETpK467c7UVUNg17i3zdWYTTIk85LvU7EpJfwBeOJuyDE5tTZn8tmg4yKxPPvNFHfFkv0rMhz8YVrqrEYJxlrsw55Esm1qDeh0+snXWsCamwn6my3H4t58uOn8H+Hqfv/v+MjQ7Z7e3vZs2cPd99993hbRkYGAHq9nmuuuYZPf/rTf/PvftgykvZB3zjRhljU5VfPHOJr19aMexhPIR5T21KTQxI0bLNXE+o6wWnTV9FsR3al/6/3SwJMksDwcMwGLslhJDvVyvBYELvFQO+Qj/VLCkhzGplbnhonX1i/pACLThw/h04nEjnlLazqUnAuuZLB1x4YP152pqFLyWHDMjvHm4dIdhiJRNRYRTaXiTSrm5d3dWEyyEiSwIgnxJq5WUhmJ5ItCcUzkVjmXHQpcnIW+rQCwr0TkgDHgg2o1hTM5Qvw1+0cb7dMWwJWJ4756xnZ/gxix3FUQJ9ehFMXZOOqEu7700HSksz4gxEMeomiNBPG5LWEm/aP+z4LeiP6kjnQ3UCwZUJyEBnqInz8HfKmX4FeJ/HAGXKEz14xC5NBoCzXNU44ANYszCPZaWBFTQ7vHuwkxWliaDTIrNIUXHYT//2HPfhOJbZqGjz/zkmmFSZz2fJifvLEflJd5lMl7AVSXCbOqc5mx5HucWcTg06iNMeJQR9zrzj9MSEKMbKc5jKRmWKha2DCAnDj6lKcVh2zSlI41DgRGV6zIB+X1cDTbzbiDUTYVx+zpBOPwtoFeWxcVRqnVY9p/W2smptLXcsQC2akM+wN0dnnY2A0wMyiFLbsbh+XWuhkkZnFKSTZjXHOHIIQkzcNjPh47p2JIka+QIQHXzjGPdcXYiqqJnCG7aFl+mJkZyrrl0Z57u0T4+3leS4y3GauWlXGL86QYKS6TEwrcBDZswllqBPLrBWoAR+Bhl1Yypeyx5M1TrQhZgP3Xu0YVy0oQxAl1C33IQERIHndZ4noLIQj8Jl73h7/nytXlZLqMrJsdhbvnrEDsWRWJqkuA3f9bg/+UwRW02DT1kYWVCRz5YoifvLkRF+T7EaiwSDnzc9jb20vTpsBRdEIhKLMnZZOVDeKaLSgBk+NqSBimnMxktWC7EwjOjJBh51LrqQ7YuOx1yZcZEJhhd88d4Tv3LqA1fNyeX3XRLS6pjyV9GQLV64q4eGXJqRBOWk2UKJctqKEex7bO/5bDque0lwX2w51xs372tZh3j/cxbSCZOwW/fhHWuwjoxiDNYIuOSvOu9+55HK8UhLKJOuZSYJLzi1i09aJsZ5d5ibZqv9YvS9EUThV9OefY/t76n0dwz+NZvvXv/41tbW1/OxnPwPA7/ejKAo2mw1N07jvvvs4ceIE999//9/0ux822T7UNMTPnjqY0P4/XzgHq2FKZzYZph7eyaHXAnh3bkJfNJdwTxOCwYwuKRNpuB21bNXftDgfaRkiXe/FMdqINtKNkD2TdzpNLKgqJKpqnOwapaPPS36GnYJ0Ow6TjDes0NA+wvGmIfIybMwoTCbZakAJDGH2dhLqbESyOtFllnIylESGU09Tj5/9dX2YjDJVpW5Ksuy8uL2J8lwX+xsGiCoa1WUptHWPgSSxPCcEfSdRAx70maW8elLGnpTEsuwgkZ5moqN96DOKUB1ZhEaH0NtdMNBCZKAdnTsHLTkfQ2QMxe8FVMLdTciuNHTJ2USHexiVXLSo6RxsHCDJbmBWcTJZY/toNVeSJY0S6axFkGTkzHLs2fmMbP4NviPvxN07nTsH58Vfpc2ro7F9hBFPiLI8F7mpZppa+jjaGcRu0TNyyqe8rmWIlfNyKHEpaD2NRLrqkdOLkDLK6YmY+a9fvp8wPrdfWommREhyWthf14/DpqeyOAVV06hvGmBmvp261mFEQaA830XrQJhRX5iyvCROtI8QCEcpz0uiqWOYqtJUQhGVpq4xBkcDlOa6CIYiiIJIlttCc4+Hrn4vBRn22AeYJ5Sg8wf47qcWYtRLDI4GqW8bJsVhojjbwYmOUVRVJTXJwv76PqwmHbNK3GS5LTz80jEKs5x4/GFUNWZzV9s8yKcvmU7XUJDG9hG8/gjl+S46ej2YDDK/evZIwrkfvjkL9eROdM40ot4hZFsS4b42qFjJoCGb3uEATZ2jZCRbKMiy097jpSLXRsdgkPqWYZx2AyU5TpJMoLXupc1Syf76fox6idllbvKVVh7YK7DtULx0oijbwZevnoUj3Ee0qwHFP4ohq5SgM5/hkA5FUTnRMUrPkI/ibCfZbgs9Q35SHCY6+ry09XrISbORm2ajd8jPvY8nJh/fe8tMDPWv0pd/IbUdPuxmmbIUjWTfSXYEi8lKc7C/vg9ZEpld6qa1exRJkpibEUXrbYRIECmzjJdqVdYsLsQZ7CLS1YDiHcGQVYLizGN3a5j/meQ9dOfN87FbDLT1jtHa4yE71Upeup1ki46wEqGlx09D+wgpThNl2XZc1tjuU1Ofl/rWYSxGHWV5LrKSzNz75AEOnyXpmV3m5gtXzKJ7OEBd6zC+YJSKPBe5bgsCYA71Eu1uIDo2gD6zBDW5iLAwaf1XICZbauv3crJzjCy3hcIMO+aPiV5bA7qHA+yr60Wvk6kudZPqMH7kSffU+zqGfxrN9nPPPccdd9wx/vfg4CCf+9znUBQFVVUpKirizjvv/BB7+P+GyXw7S3OdmD4mC8QU/u+gSEZa05bz3w81YDHZiEZVJKmH711fhfNvXJDLUjTCL99PaPRUBOzIFhbPvxpRV8wDm45Q2zqE1aTD6w+zpCqL69eU88r7Lby2c0KDW5Tl4AtXzeZIS4TfPNdLcXYO/SMBJLGFb9+cSkOHhx8+OkEuXt7ezLdumkdeuoO7HprwZH55ezNf+kQ1qgbX//I4Lqselz2Lppe7mTctjXXFJjbed4jcNBNLZs3ljw81kpkS5Ls3zuK+F09w6ISPVFcWfYMeqiv6+NLadIZffYDoSC/G/EpGD78NQQ9p19zJ0W4Lv3xmok+v7tDzjeuqCAY0bvltI9MKUgmFFVp7Grj331w4M0oSyLYxdwZSaAzri3czO7UQW3E1Iy98C8vqm0hPncs9T+9AFAQsJh0ef5hkh5GytEKi257Af6qiZvjomxjzZpC06vPkpNkSimmkukz4vQr//fu9422vbG/h25+sYkV+FO+zX6RaZwA0tH1Rqi/9BrU6K9/8zQ6y3FasJpmntjSydkEOsiTww0f3M+IJYzJIPP/OSa5aXcrCmRncv+kQ7T0estNtvLjtJOfMzuHicwpxWPWMniENkkQBm1nHL585QkPbMFeuLOatva08+GcP37hxHsGwEpdI+sr7LXzvU4sozHLyh1dqx2UjgVCUjatKGRwLccev3icj2YTTZmTT1kaWVWWyvDqxQFJumg2dzcXQsW1oqjIe0RX1RlLmX8rXHtqHJxBk1Zw8Nm2pZ8AT4tu3LuR4Uz+/eK6O4mxHbF4K8MPb59FiruSHv59IeHzl/RbuuHEeFfmeBLJdWZRCVBX49O+ayEt1UpJXwDMPnOSm9UlUFqdw35OH6B7wYjbqeOHdJjYsK+K8BTl86b730IkK5y0s5NHNdQQCEe66dQEZKRa6B+KLDGl6M/qon5SXv8RyZxpq0Isa9CFd/FWSjOa4RNKXtzfzn9dWM+aLcNuvj+J2mjAZTLT1NrFmYT46/wD9z92DIOvRp+YyuvN5zCtuISWpJmYVesYykWQ34rAbeP6tk+w80klelpNXdrRQkuXks5fPZHftIA+/dJyq0hS27u3EaJC444Y5WPQShalWSjOt4y4diqIwpyItgWzXlKWiKCpumwH3jHREkbiy635DGuSnIYoCwb8iKKaXRYoz7JRkOj7yJPRvRfuAj7t+N5FI+tzbJ/jubQtx2xNlY1P458NHhmxv3rw57u+cnByef/75D6k3fz+kuUxcd0E5f9xcj6JqpDiN3Lx+Ov8Ai9Ap/JMiqMbKelsMOsy6D54YEVXgqe29lOQ4mV2aSigS5b2DXdT1RljwF1IARFFAFxlD0BQiejuKKqIf65og2qegHniOnvRFHGuOJSGd3vZ990An5y/I4/WzEqNOdo7SNejjiVOSkxOn/IYBhrwhXnivOe74YFjh0IlBNCXK4hmp3LDYjghsOuDnvQMd3LhuBtecV8ZMdwSLDna3JzGjLItQOMrV55Ux4gkRVQWWzs6iIs9F+1CY3kEfj/x7FXLUS1Rn42u/r6NpzETB+TcTDviQLU6sioIy1s+YMZNNW+OrL456wzT3BdlxtJvv3FhFqSMECLzbIqLJMkJaCdbZq5H0JgRJJjzSh7FiKZG+VjRVxZqUBr5hjLnTGN3xLGlXzOAT55fRPxLEYY3Jc0pzXBh8PYydWboeCLYexe1t5ZYN0/nZkwcZGgsiSwJXriolzaHnRy+1cs+tleRZQiBK/HFfkKYuDzMH3kZfMBvf9A2gqZgPP0ukaS9FWZVcsigDVTZj0Emku4yszA3S3TdKMKRw3vxcrGY9da1DvLitmYIMB4OjAb557XRceoUOTzY/3lTL6nk5XLGilCffqMcbiGDQSVy+sgR/SGF5TTbDY0GeevMEoiiwfkkhggB/fvdk3LUFQlH21/cyq8RNdVkq+0/JUWYUJVNd7sZi1nP1eaWkJ1nQ6SRmFI6Q5DCRaxjm2vNLeXJLI1FFI8lu5JYLS5DDgzjPuYZRwUHAnIbZ14lD8iNEfHzqkkq2HerEYjJQPS2d/HQ7Rp3I41uauf8r5+INRNBJEsebBwmpAi9ua4rTKIciCoca+1ld6eTw9DR2HYs9F+V5LhYVm1GiUewWPSvm5aHXSaxZkMdL25rIT5/4SDr9rLy8vZlFlel89opZCP5hch0aha5MFKODQqfKbRtm8LOnDjLiCSFLItecX0aS4EGouZhofzvRoU4QRPSzLyTqKuC9106wZkEeCysz0YA3drZw9EQ/Fy8v5ZMXVlCQ6UQQoLV7lJJcF+rAMVRfTMoROPV8B3c+RfrGudyyYSaPvHSMcFTFZtbx6csqSZG84z78jW0x955jzYN0DwXGi0IdbDhFoL2xsvClWTGTgjPt8DQNZhenxI31nPJUKotS0DSQZZEhXxhF0XBZ9Aki8b9193kyoq0CQ74wBlnCaZZQlMT/OxOyDP1jETTAbTOi/G//8A+EKAq8tK057raEoyr76vtYOz93ylHtY4CPDNn+uEIWBJZXZVJV4iYQjJJkN2CUE22NpvCvia6RIA+/eIyTnaNkpli4ecMMSjKsRKOTvEw0jfnT02nr9bDprUZMeokLFxdiNOgnTXICkLUwQvM+ht55DDUUwDLzXExzNhBQIgnHatFoQqLZaSiKNumCryhqnPXZxI9BcJL2UFjh/OkmTO2HGXvmZTRV4dKq1YRnLsYhh1mb3Mzw20+iBv2cUzYPu2EDxwJWbGY9W3a30T8SYGZRMqqqYTXruffyZIZe/PEpGUkuP77iBtoFEUQT/v3PEuqoQ3a4ca24gZAmTdpXRdX46lo3/iOv0X1oK4IoM3feOkzyEnwdDegcqYy8/wxaNIpt9moibUeRnSk45q1jdPdLqH4PpqLZ2GrWIKBiNel5Y3c7vUN+yvOTKM11oX2AUa8aCfP45jq+fsNchsYCWEx6mjpHiIaC3HN1Fp69z9FduwPRYOayJZejZExn1LGMN5skXn28CVEQWLf4Ms7JimKKjJJic/D4O62EwgqrqtORAsNIzkwuW1HCC++eZNgToqrUzaXnFmMyStxzZRr+rT8mPNxNZnoxv7z5RtojKn/aUs/q+bnoZAlN03h9VytluS4ee62OZVVZ2C2xObfjSDdF2Y4EZxuIfVwN9A1y09pi1i8tRNM0Up06jh5vp6aqCItJz4N/Poo/GGHxrCzmTkvHMNLEwsE9TP/EpXgjAimiB3nLXWhrb+ekbTa/e7mBjr568jPs3Ly2iuLoECOeIP3DAd7Z30l6kpmyXBc+f4iv3TCX379cy57aXuwWPdeuqcBo0E3a10AoinGwgetyellbXYOqQoq/CXnPQ0RXfYELFhXw0IvH8PrDzJuRzk3rZ6BM8rwpqoqgCcxxDjG092Ei/e0UpOSQtOqTaH4L7nd/zreu+SL9fhGbScJV/wLGsVJq5Wl4ZtyGKTSEJhnQbGmkBAXOW1DAvro+7vrtLiRJ4KKlhUzLcyJoGlFF44d/2EM4orC8JoeKPCeoifNMi4SRtRAV+Xa+fdsCxrxhkuxGjGKEsC+xRD1ANKoSiSbepw9aHwAsBonbL57OkKcEvV7GZhCRBIGQqrLtUC9/eqOeQFhhWVUmFy0twmn6+9GPAV+YP73RwP76PhxWA9dfUMHMwiQ+aP/YE4qybXc3L2xrQlU1zp+fx8o5OTj+jn36W6DBuJb/TARCUwbfHxd86BUk/9H4qFSQNOkkbCbdVFLkX4F/lYpUnrDKjx/fR/spmzCPP8Ke473MmZ4xqW+sLAkcbRnm9V1taBpEoirHmgdZMTeHpEkcKgB0oy0MvvATtGgE0Ij0NiObzMh5lYRr30M7g3QbKs/DUjybgw0TlSgByvNdrJiTQ/egL24LPNlhZN3ifCxylGOtE/ZhBr3E+rlpuFxW9tT2jbeLAmxcVUKmv5HhrY/GkhE1lXD3CRzpmYg6iYHnf3rKDkwjMtCBABjyZvKDP+wf71PfcAB/MMpFM/T0P3cvymjMEk71jxJoPkx65TyG3/htrHIhoIb8+Bt2kzpzPhGdYzxyD7GEvfVLC7F17WF0x/Mx60E1SrD9OMbMIkS9iaHND8bs1E711ZA3HX1yFgMv/QItEkvwiw53I1kcDGXM5+7H9o9HOgdGAgyOBJhbXYTcV4/inUjA0yVlwrTVdI+E+dVzx9h2qIute9tpaB9h43kFBPa+espWUUOLhgk0HcRRPItdQy6eeKMBVdVQVI3almEKinOJGJP46bP1RKIxC8CTXV6c2Xlkpru478kDBEIx8tQz6MegE1kxzYZv012ovlhEU/UOoXQex1m9ksYOD+/s7+RY0yDHm2OSonVLCgiGFV7d0cKxpkGONg0SjsSqTrpdJvbVnTHWosAVK0soUpoIPfMtTLUvY657Be3gi+RPq+Ck38n/PHWQcFRFA9p6POhkkappmfjefxr5+GtYTr6JcOI9LOULGcpczPf+cIDB0Zg7y4g3xOGmYebNLefhV+rGd1W8gQj76/vYuKqUTVtPsONozLknFFbYc7yXuRVu0pOt7Dk+sasjCLBxVSlOg0Jwy68wNm7BdGILWus+TEuvozPi5KdP7CcUUdCIVdPU60TmTktj+6GuOPK+uDKD1RU6Bp+5h+hI36l5OUag6SCmGeeijfYSfee3WBs3oz/+KpqnH9vCy3lhdz9PbG1h24kg2xu8bD/ay9KqTFq6PTz9ZiOqpqEoGsebh5hZ7GbYF+LXzx4hqsTGuqlrFKfdRGmOk0j9tvFEXwDjnIvQ51Xy+Z9s4/VdbWw71MUbu9s40jzKsnmFNHZ54lxvMpItrF2UTzii0tQ5sVtlMcpcsCgfy18opy4KAhaDTE6Gg8CpNbypx8vPnzo4Pi9buj2YjDIVec6/z7tZgEc314+PaTCssPt4D1VlqTg/oODN0ZZhHnn5+HgQoaF9hEy3lcIM64fDFzRwOUxxRYEEAa5dU47N+NGuXvmv8r7+3/C/VZCcimxPYQofEvqG/fQOxUeWAqEovYN+3JPY44WiWoKmFGJlwksz7Albq4IAke7GhON9R97BNWM1+su/T1v3MP5AhPQUKw63A70s8ZVra+gZ8jPiCZHiNJLiNNAz6Gd5dTZ5aTb21/dRlO1gwYxMxOAIC7SD2FfOZEutj0ynzAXlMim+JkyFM/jixkpe3NGG1SizYUkB04uSGXnpII75FyHqjWhooKr4Tx7AlTM9sa8Nu7DOOI9509MpzHIQiaroZZG393egjvSi+uM9ghXfCOpoH+GepvgfUqNE+tvxB1O4ZV05Ww90k+o0sGxWJilmDV/9roRzh3tbiEYSdwACdTuQkvMS2v31u+nNv2zcJeQ0Wns8DAYEUhbfgKVtL+HmA+hypiMULaI/auPiuSoZLiNvHRmkINXEuoXZ6L0jDE/Wp74Whjw2Ll9RgiyLCMRkEPWtw9gn+eB651Af7mR7AoHYW9eH95x0klZci2y2o/jHkG3J+DvqUUa6uXZNOdsPd3OwoZ+SXBcranLw+MOY9BJf+kQ1vUN+zEYdTque7gEfZqOO2y+dyZbd7VhMMhcuLkCNqignE69BaztEsyUnoX3HkW7OX5hHxlXfIjrSgxrwIrvS0RzpNLQFxh1bTmNwNEj3cHC83PdpRKIqvpDCzqPxFpkAbb1+KpODfPbyWWze1YrRILFucSEFagstkRzyL/4awX0vgRLGULWW2lAaQyMeLpufQpU7iE4NM4CLJ/YM4fVH+Mq1c3h9Vyut3WPMnZ5OdakbZbgJxTcSd17VP0Z0pAdLzQXIrjQCjXvRpeRgq1pJa9DCzqNHE/pqNOjYcVZFRoD99X0sqcyc9P6tXzwP+2XfwL/vZYSxHqTNunXXAAAgAElEQVTy5ZBXxaHGwQSv9Y4+L70jIW5ZP513D3VxqKGfsjwXq+bmoioqkiiwYVkRhxr7SU82M70wmYGRAOkOI72jQdr7vOh1EnlpNmwfkOwvigL1rcMJ7e8f7uK8ubkYJ/P/+xsx7I+y51j8WGsa9Az6yHdbEo43GnXsq030+t95tJuVczI/NDlJSZadr3yihhe2NWHUy2xYWkhmkvlD6csU/v6YIttTmMKHBKtJN6lHsM0yeSRDlgSy3Fb6h+Mdh5Ptk2esaxrobIlibl1yFj5FxyNvNY9H/kQBvnr9XArTNd7e38EL702Q1evXVlBTlsoP/7CHvHQbi2dlxvy3H9nN/Z+vQdd5gMrAu1RlzwDfENG3G1Au/gpGfw8F79/Lf6QVQzSI+u4wYffXsZYvZHDrH1DGYlpQ0WQjefWNqNFEYis70whKFhR1kMdPVa0TBLhh7TREkx8EMb4QjiAimqzxtminIJqtrMwNonvvZ8zOKgf/KMohDd2qT4Erg3B3vO5YMjuIkjgWmiuHiDCJn7EzDYsp8SPJZJCxGmTeb5TZvDud0szLaDoYYIGisWyWRvSZ77Mwq4RzL16HOtjG2FP3wKd+iexMSyBtksVFgdXBgy8cHU9gTLIbuXXDdEa8idGlrFTLpH7nKU4TVrOBSGMbQwdeH29PWnk9OqeL48eHyc+wc968XAZG/Lx7sIMLF+eT7DTx0ycOjEuKZhalcOnyIl7e1kR7n5eNq8rwBiLc++gePnPFLPSu9AR/bMniIMmemDienmwmQxhk5L2nCZw4lRgqiLjXfQabtSLheEkUsBl1mAxywna7LIux8ulnFZexGHWYap+loucklWs+gxQN4H35K+iWXEpHOIUfvt7LzWs/gUGW+P3zDVSWjrKhJgm56WW0xlhuQq6k48urvoAmiTz/zknKcpwsr8lmy5426gwyBUXWSeelZLZz24NNzJtezpWrl1DbF+HHvzjKPZ/LIi3ZjPeMnAeAaFQhK9USZ6cHMbvFaDRRzpGRbEbQBFR7Ds7zP000GkXSSYRCYDWPJhxv1EtYDDJOi55Ll+Rz0aJ8ZFlAjWqEoiq7j/cSVVQq8pPoHwnwuxeO8c0b59E64OMHj+wZj+jnp9v4/MYqnJP4vKuqhtuZ6C6SkWw5Jaf8/x9GNupE3C5zQuBismcRIBJRyUq1QnxhU7LcVoQPcRdcFgUqchxMu6YaBNCmdNofK0yJh6fwkYIoCoQn0Qp+HJHpMnL1eWVxbWsX5pP+AdEMQRM4Z3ZML1tdlkp5vovcNBvJZ1R2FEQB4QypkmR1oUuZiCIKsh7rjKV0DAbGiTbEXAoeeP4IQ75IHNEG+OPmeoKRKNeuKSca1ZDUKIqisqImB01vJVJzFaLJiiU9G70rFSFrOgFbLr59LyNnl2O54HPYL/oyatiDpEUJD3WieEcw1qzHNO8SVCVCsL0OwZ2LPq1woq+SDueiy+jzqOw+1sPPv7iYx/5rKbddPJ1n3z5ByJqBY966uL46Fl5MxJGF89xPxLWbyxcQsWZiOLQJxT9K9MQuol11aN31yKOd2KpWIqVkY7n0DuwXfRkpKR1DTjlKxjRER9pEnwxmdJXnEzYmI2VWoM8owlRUjWiyY1l2PYgSiyozmFeRyidXF5CfYeeSc4uJqPDHzXX0DgV47+ggnQN+nn37BGMBjcjcT6D4PAjeQZSRPsify5Bmxrn4sriCPjp3Lvq0AurbhuOcQobGgjR3jZGRbCbbbWVavpO5ZcnYLTqWzMrCoheZUZjMsqpMNq4qJSPFwiXnFGEO9OI58DqyKwO5aB6SLYnhd55EH/LwxOZ6Dp8YoG8owMHGfl7b0YoelT+/czJOu3/k5AChsMKSqmwkMaZ/VxSV9KSYzt5YMhfJ6hw/XjTbMZcvoiRdT366jdXzcrlyZQlup5ErlxcSHe6ZINoAmsrQW4+SY1O4aGlB3JheuaqErGQ9t64tjmtfXZ2GlSDXXVCBfEYmenmeixy3BXv1eShBH4Fnvo33zz9Cttgx5k6nJNdFkk1PWBEJqQIGvcSqubkkR3vQuid85zUlguHQM0hKgB1HunnklVru+u0uth/q5tm3TqAabDgWbsBStQbHFXdiqb4Ax/z1YLByw9ppNLYP81atj/eO9rNgRjoGGT5xXhl2i56a8lRKc10UZTkwGyVWVGdjO+NjKdlhpKY0haIsOxnJE1Fbk0Fm3ZICIqdyPRQ0BFEYTxLMculZUZPNxhVF3HPLLJbOyuS6C8pJTTpNhAUEQYhlGRIjsLddPAObWUd+hp00l5n509PITrXwzNbGOOlMS4+HxvZEMn8aZbkOslMnLNEMeolLlxfz9yDaACZZ5JMXTosr0jS9IJm8tMlt2E47p5z5wWe36Dm3JptQ6CPw7hFgSmz68cNHxmf7H4UP22d7Cn89Wvt9vPBeE8GIwvrFBRRn2ZGFj/ey4wmHGRgJ0zsUIMlhIN1lwv4BGr2IqvHnbU1kp9p5a1977AVRHXOHWDwjnaYezzhRXr+kkKIMG1Lta2iBUSSzA01VEEQRb91OTlR9Pq6IxmncdesC7nxwZ0L7f31yLvm2MOrJXWjNuyGtFOOMlYyISYz2tFOoNOOr3Y7sSMU0axVDunTQGWloG+WN3W2YjTJrF+VTU+5mcOernLBU8squDqJRjTXzsigJHiFtznKUoS4iQ11okRC6pAzQmTgZcFKg68d36E0iA+2YSuYgFc6lL2QgzaohjXajeAaQbClE7Rm0e/Q4LSIOfyfKSDei2UHYkU0wpBF99g60cHysNWnNrXjcldT3RNm8qwW9LLF2UQHFzgAmiwPZ00W4rwVNUdC7c9CsqfRELLij3fj3v4Yy2ot5xrkoWVUc7Y5S6RwjWvcOkd5mTEXVjKRU0kcyP3hkT8J9/fInqpntDhNp3kegYTe65CwsVavpM2TT3DnKQreHyGAnos6AnJzFrl4Dm3e0xhVfAZhf4WbRzHRKjEOIxzejBb2I01exucPO9OJ0dAYDm3e20jPoY1FlJuV5DvIDdXQOR3iny8zxrhDzCozMs/WQmZdDs5TPnmM9HGzspyTHyTnV2Zh18MWfv58gSbn9kpmYTTKBkMKbe9qxGHWsXZyPPxCiOs+If8yDv7cd0DClZmOx2Qm0H6PTMp2X3m9hzBtmRU0O0w2dJEk+Bl97MOE+pV/7XUZlF22DCoNjIdxOI3lJIq0jAhk2aO4P0zUYwGnVU5xhwiKGEbzd9MgFdPR7MRt0ZLstOHv34s2cizPcgzbUAZIESblE7OmovSdpCrl55f1mwlGF8+fnU+FWsQzUMvT6b+P6I+hNaBd/l3//9eGEvv72llz8xjTeOdTDvhOjVBfZOWdWOiZ/D6PWfPbV9bP7eA+5aVZWz8/D7xkjJ9PFoROxZyXFaeTCRfmUZpoYObaTgeTZdPZ7EQSB7FQLKT170E0/l/6RAB19XqKKSpbbysBIkJmFToThDvz7X0UY60YqPxcxrwrRYMfqb8Nz5G3CPU2YCqswl87Da8jEE4ry/pFudh/vpbIohXOrs3CYdIyFouyp7WPHkW6y3FbOn59Hsl3PNx/cmVDZ9LIVxaxfkDtu63e29/JYMEpbr4dQRCUn1Uq60/h3fy93Dgfo7PdhMcrkplmx/QVtOcCgL0J7rwdNg5w0KymTSPf+LxHVNE50jvHitmaMeomLlhaSN4kM5qOGKZ/tGP5pfLan8K+NzqEA33lowmO0tnmI/7y2hvJsx4fbsX8gIho8+PzxOOKUkWzh6zfMwTpJgqRBFkhPtsZVLTzY0M83bppHa5+X759B5o6cHOSbN82jPL2Igae/H/c79oWX4HKYE3x3Z52q7Hf2trzbaSLPbSD61h+INJ06R28L0eZ9uDd+G6fnIMO7XgAg3NNEoOkgKTfczbaTI/zymQkycqixn/++aT5jjmp+9PsJr+valiG+eHUVyUEvPY/fGUtGPAXXOVeTlzeLgU0/Htdnh3ubsYz0krbkejzPfpdw34T3tz69kNQN3+SRV+rP0Lf347SO8a2b52IpW0jwyNa4+6HZM2jsi/KzPx044/4NcMcn5zEj1EzP0z/izChc8tpP43DkMrTpB+MJkuGeJowLN1JTNofhTT9D8Q6f6msLltJ2SpfdRJLdyNDYBEmxmHTkJhsIHnwB7+Gt49cWaDpI6qd+wd7jQTY+eVraEkSWxvjWTfNYNiM5gWwvmpbCTKcXzzM/mpAvdDWwZuWnGLIUcNfvdo2P6cnOUdYvLSBjyQx+8uJeeoZiCabNXWOcKEnm9pkF/Om5Og6d8kxu7hrjUOMA37p5HtVlqXGJkIIAmW4rHX0eHnh+Qnd86EQ/37xpPk29Ae585PgZPa3jm9fNRGedzvcf3kP0lKVHY/sIN15YwfnFSoIEw5BTgWhxEdr0Q9yDHbhP35HMMkrXfZFfvdjA9mP9E+NjN/D9Gyuhdge2urs5U4AiXHkXDR2j/OLphjOu4Rh33GhB01L50aO7x9egupZh/uOq2VQ7E72/dSULiZrsyJIwfg0QK4KDM4ufP3GUxs4YAWnpHuNQ0whfu2YmL21t5p39Mau9ps5R9tf3c+ct83nvcP+4TOpEB+yr6+N7ty6kVy7jJ7+OL3r0jU/OQd81yrcf2h33/P7bZZVoY714nvkeWuTUPOtpwjj/cuwVc+j7889QPLHk4HBvC+H+Nuwrb+GnLzRy5OTg+Fjvq+vjmzfN5bWdbby2o2Wir3W9fOe2hSyYkcFL2+JtPUuyXXH+2WfDbpSZkeca//sfEQDLcpnIcn1wQZyzkWzRkVz4FzxT/49xonOMux+bWBcPNvbznVsXkpX011/TFD66mCLbU/jQIYoCu4/3JETMXtreQsXVVR9b7VrvsD+BNHUP+uga8FGaaU84PqzELNjWznEzw62gIPN6bZCWbg/tPWPcsbGICmeM/NWNGnlzTzvlG8pwrb6FkXf/iBYOYpm+DH3FuYx2h/m3y2ZiDA4gRYP4dQ78WIhEVb5ybQ0PPn+U7kEfeek2br14JrJ/AGWsh7SrvoEW8iMaLIzs3wxDbXgPvQWz1jNiysYoRjE3voFfdPDazr1x/Vc1UPUS2w92Jlzblt0dLJg2G3PFQizFc0CJooYDjOx+EYc1OSER0ndsG6aqNUjOdJQVX2bIFyXJKiPt+z39o2G2H45PJB3xhmjt9aF3Lqb02nUMeBWMehmr4CdgcfP65loWVWaQm25HIOY17A2E8bcf4Oztbu/BN5CmryZ14zcR1Chq2I9sd9Pz+sPgTh8n2qfhb9hD2pwLufPyHFKsEviHwexkICCTEulksOkAtgv/HVWQkGQdwYObCXl9vLGrjRVzckh1mRAEgX11fbR1DZHjtnDfF85h2BNCAFw2PZFgALFjX7xOGIgefoX2mSUJmubNO1o5Z3Y2PUPxEcp9jcN0jUTHifZp9A75ae32MKMwmXBE5cjJAZxWAxctK8RkkNi8o5ULqt1UpqlEkXi9Nsix5kEioVDCWL99sJ/8bFccSQV4ZUcrC6bPwb3uMwy99WisAmJOBUnnfoKx/m5kWcaz7juMRnQkySHknQ8yOBaII9oAg2MhOvp9+F1LKMj3o7bsQzTZiNRspENJYvPO+KRhTYO+IT9NXWMJa9Dru1qpvmYW1vM+jf/dR1GDPgwl89DPvpCwEuWm9TFJ08BIkPI8F0ursugZ8o8T7dM42eWlZ9DPewfi5/6YL8yYL8Kr77fEtUeiKlFN443d7Qn3b/uRHs6tyebsZXHzzlZq1iZNEO1TCO1/iWha1jjRPo3Aif3Y5/aME+3T6Oj3MjAWYsvu1rh2XzBKS/cYy6tzGPGEeP9wF0aDzJUrS8lP/+hHYD/KEE75bJ8JTYM9tT3kLC2c2p3/GGCKbE/hIwHjJJFck15C4O+l7PvoQRInT5n4oHZRELhpWRLuI4+jNjUDArdOW8lIcg4r8i2Edj7NYHOsJHNuwSw+tewKopqMVrSU5NxKBFUhoncQ0kQsumFyBvfB3k2gRpHsKYzMuQVJSCYSDHDxOYVYzbGS40rYj2w3YDn3Gvpf+B9U/xiCrCdp5fXIZgf+xbdz39Yxugd9SKLAxsVXskLT0OsSr8OglzDqEsdarxdBA8lgpf/PPwNNRZeSTcrqm4gGfAnHC6IEgkh9wVX86qED+INRLEaZf7vsWrINseS5s8mcLApkZqVy1xPH6ej3IYoCly3J5vy5UZZUZfLugU7ePxzT5s6fno7VpEfUJTp8CLIBR04+/uPvM7rrRdBUZFcGaRfeTsQ7knA8goggSbgZZnDTb1CDPgS9kZTzbkZz5GFf8xk8m3+J4hkCSca8+GpkQWPDOUW8uqOFrXvbEQVYPieHFKcJk9XKwy8d41BjjBDPqUjlqlWlICcmHQqyAXGS+aQ75WSScLwAkiRM6tsuSyKb3mqkJMfFlatK8QUiPPf2CaYXJHH9Ehdpx59A2XUSELi1Yjn9aZkc70g8h14XO/9kfVJVjXDAR+oVX4doGMHsoPt3d2G94ovUz/wsv/nTcQKhKBaTjs9c8iVyBAFRFBLIiCwJPPTuAIWpi1k4dyWjAY0Xtw7zmcsnX2tEUZi03aCTCCrw1lA2upJPYzMKNPTDOWELNn3MG3netHSsZj39w34QQP6A51eWBCRJRD0ruVEUmPRZAQ2DPvEVbdDLKJOYfOt0IsIkGX6CrEOYrE+CGHuOJoEoCOhkiagS/5EmSSIus8xNF5Zz8bJCZEkkyaqfNGFzCn89BMA4iexlsvGfwj8nphIkp/ChQ1U1asrT4l7AggDrlxZ8rL/o05xGls3OQhQhLcmMLMaSuLJSJk+QlEWN7IGdqP2nIyAa2vEtFJp9CF1HCZwi2gCB5kPQeRRQUVWNkGQnbHChaLF7nG8Yhd1PjhfBUMYGcB17CosY4J4nj/K7Px/hma2NPPTSUe598hgmWWXgtQfGI8xaNMzg6w8hqBEe2xemezCmg1ZUjT++10N3/zDrl8SSHU0GGb0sYtBL2M06Fs1MR5YmxloU4IIFeWghP559r0JhNY5VNxMZ6GDswBuQlBvTb58B25wL0Gyp/OKZw+PFIHzBKL/YdBglonLBonwgVvZcL4tkp1qZlmPhia1NdPT7MBtlREHg6Xfb6RkOMDASoLZlYpdh17Ee+kcCmIqqEGQ9ktWJ5EwHBOxz1hAd7mV055/HI8nR4W6G33saXXI2OnduXF+ts1cj6C0MvvrrcYcULRxk8NUHkFUV79u/jxFtACWK/91HwTdIbfPguK2dqsGbe9oRZB376vs41DiAUS9h0Evsre3jSNMQakYFgt6IaLQgWk9tj89aT06qNS6JFuDS5SUkWUUqcmxx7aur3KTaZM6tzkYQYo45oihQkusk1Wlg3eJCDjb089SWBl7e3oxeJ6GTIGd4D0rvacmLhla7lULdAHPLkpElgWvPL+GmdeWIosCK2RkUZzuxGOWz+lRMsjiKb+/LdD/8Vbof/SZdv/k89nnnMkAy9z97FFmIsm5JPooW4f5nj+K0GVi/IF7mUZhhJTvZxGXLi9l/coT7N/fw2Lu9CAjYLHpWzsvlzFQQg04ixWFibkVsDbKZY5aGggBrFubT2DHGE6/X84d3erl/cw9v7O/hubdPIOr1PPZaHa+838JTWxp4a18HL77XhDvZzMKKlLg+zStLItVl4cLF8UmemSkWbGY9Vy89a36bdVjkKOfNz+XM0gyyJDJvWhp2U2zsz8SGpQVoRjuixQl683hitHHBlUjJWehT8+PPUbkcxZrBiprsuPbKohRS7HouPqcorj3VZZpIOlQhyaLHbpSniPbfAaqqcdHSgrh5qZNFaspSP9bvwH8lTCVITuEjAUGA3tEQ++r7CEdV5pSl/kto1YKhAO29Hlp7PGQmW8jLtGMxTU629VqAkT99c9wy7zTSr/0uo9ufJtAcn6xlzJuJ45Kvw2Azka4G1JAffWYJEWchodYD+Dffn3AO45U/wBdScYe7iA53Iafk0Bx1U2oP0vvUDxKOT7nwM1z7mCchCvqZi8uZXZyM4Okh3NmAoNOjyyzDlZPPG7tayEixsre2n7CiMr8ilZExHzV5BowRD6GekygBL4aMYkRHKtGek5CUQ6TtCNGBdgx5M1FSigj6A9z+QENCn75+fTXpSRba+300d42R6jJTmGnDrovy8+dquWKWDru/HUVnpSnixpmWzp/ebuHkWdZr59Zkc/PsKIP6LOraRglHVMpzHWRoXTDWz9CWR+JPLMpk3PADwhEFpeMYkb4WDHkzCLqKsAR76X/23oS+pl31DXqf/F5Cu+vCz/H554KMeONlGDesLedkxygFWU68gTAgYDXpaOka5bo15fQNeznZ6SEYVijJdlDb0k9Gqp1ku5naliF6Bv1UlboJRaLMcGsET+6nQcvlRH+UGRkSeb4jREpX0R/UEYkqtPZ4yEix4HaYUIJjHGoPUpDh4OjJAdKSzOSk2XDpIzjevofoSLx3sXnuBmyLL6Ox00dD2wiqplGW6yQnWcJisdHQMcaB+j5GvWFqKlLJSzNh69yH3uUm2NlAdKgLY95M0OAQpbhdZtp7vXT0eclJs5GdasEe6kUL+zjhs3Pw5DBFGVZmZhuwhvpp0PIIRVX21/XhdpmZVeKmZ9DHrqPdTC9MpqXbg0Enkp5iYXgsyPLZGXiCGo3tw0QVldIcF3arzOHGIR55+XjctZkMMt+5bQFf+fm2hLH7wW1zsRsF6tpGqWsbpSzHTkWek0ggwL72CHaLnmPNg2S7rWS6rWiqQl79H+nJWsG+DoUki0ily0fmtFk8v7OH6QVJ7KnrQyeJVJe5Odo0wFWrymhoHWJPfT/+YJT501IpSLeCJjLsDVDfPsaIN0RJjoN8txFJMmAJdhJqO064rxVj7jTk9CL8+jQCEYWG9lGONQ9SmuuiIteFxSARjKg0do5yoLGfzBQLVSXuvzqJcCpp7v8NnUMB9tT2YNDL1JSlkuYwfCSK8v0lTI11DFMJklP4p4CmQardwIXzc0lOtv5LPLyCoPL67nae3z6x175wWjK3rJuGICY6kiiSAWN2Bb7j78W1q5EIxtxpk5DtaeDpYeDZu1F8p4mkQOqlX0bnsHN2oWZdchY2uxXh7T8wdIb9WlbVeYjpKxDN9rO00wKSzUVJtkjDWdZfKU4jlrGT9D1z73j0N2K0Yr3yv/AGBb714G7WLynAbtZx10N7uGhpIYuzo/T9+b6JKC/gvujzqP8fe+cd4FZ1pv3fvbrqXRppeu/FM56xZ9xt3LAN2ICpoRMIkLYkm2Q3CWGTLAkkm7KbZLNpEHoxvWM6uFfc7XGf3jRN0qhL935/yMxYyCTk22wCYZ7/fHx0de7RnXve857nfR5zJsMPfgtDw2JMU85iYG0yI6w+/ztpOuUaScRt17PlYD+PvjYRiFcU2PjqZQ3c0gKJN/4TSB7rVZtdaCu+QV2JMy3Yrsy3MaTRctu9e8cNVVSiwL9fP5ViY7omuDarhIBg5ifPt9I3bKAoeyYHtw1y3twQF9fbENTa8YLK5ABUCBoDKnsWiZFUUw7BaKeqKMiW/QMp7dl2HZkOI//52K5x8xytRsVXL29k0BfmPx7ePe5eKQrwjaub0UkC3/3DFkpyLBTnWvmfJ3aR4zYz4/JS4u89Tq1aQ4PJQXynB0GtQde8mrcOdPLqlgnObn15Btcsr8I+MsSvn9hNltPI9oP9WE1avnb5FNR5NWnBttpdyOGuAHfet21cKk4tidx2fQt5QoyfPbyT269vxu00cvX3XuXrV06jwWil79E7ULsL0WaXMbj2biSLg/wL7uThV1tTjGqWNBdw2VmlRB77CvmxGNXVswgdPkRicw/iFT+kvyPE/S8f4Pz5ZRzpGObd97r44kX1OK067n3xIJkOA7G4zLAvzM0XTsEflrnzvu3j/HZJJfDt61rIc6YHmJUFSWm+D8Jp1WG36FC2Pkp9PMT8JZcyuv5x4oMaDDM/w6tbd+H1R6grzeC1E+14RsP84OaZqJQ47g0/YaU9C3kggHzAh6r8ZywujBJ/8atckF2GkogRe6mbhed8k9hoP5YXv8OKzCJEo5Xg85vRXXY7/VIOP310L71DE9SrL15cT0ulloAuF1V1LqapaoLBGO+LR+rVKhpKHDSVO1PoKTq1yJQi+6l2+U8WQE7ir4Nch578eckTQVlWPvaB9iQ+Oibt2j+mUIBwTE7yJ//eg/n/hEqlwhuKISOg/og29Yry6bF/9frG+NUzrSmc9C5PiJlVDkzG9Ky+ogjoM/OInNyNEkmGyobKmegbFqMERoj7BsdNUDSZReiLGxAFAf9ppiUAsdF+9AV1iBrtuNOiqDVgm70aSatl9J2HU/pH+09iaFiCPq+c0LH3klbQgoh9/mWocysoMMXY3hYhEksGVOdMy2BmnkJ4x3PjltWQpJ5I1gzE7EoqC6xcUK+lJlsiOy+bohwrttFWAgc3po51sIv+3IWoDSYSIT/+YAx1PEig7kIyLFqcmS52Hx1EVpLB0efOr8Fp0fCrJ/aTOO1Ea8gbZnG9A9WGu1HCE0YnSjSIpaiaMa2LnsHAeKBaXWRnepWLQycH2XFkIvhXFPAHY8xryAGNlnjzlSSmrMJgNmJrXMTBUR1Pv3uCUCRO71CAeELhSMcoc2dU48jOIhpXSJQvQKU3Ym9ajMdYij63jPjJnZCIAQKa6RdgKKolRxtkd2eU4Cnt33m1DhZW6nht9zDHT7PRTiQU7GYtCkJKYagCDHtDzK7PIS4rvHfYw8keH3qdmtULy7BZzVjtVsIndiOHfAgqCdvZn8MjuvjDcwdS3pv9w0GaazJ54JVDhKMJ/MEY0biMPxhlTkMeQY0d/eCh8edSKJzGaM5MNh8eJRCMcc051cyckk3/UJAhX5iF03J5/M1jyexpxyj+QJTD7SPMaipGr9cSzWog6KpBq79mEj8AACAASURBVNNgb15Be0DPI69OaF0DnOz1Mr02Cxz5SB3bifYcRQkHUKZfyrC5nHtfbmUsGOfQyWRGPxCK0VDhwmbS0jmQLFgMReLUljiZU5/JzlYP+08rFpQVCEbiLKoyEIokONGfpErZzFpumW8h26ZBVhlprnGztKUAm0lDS202pYYAwbfuJj7Uxdh7rxIf6kIebEdXMROT08X+E0N09vsJReKcM6eYnAwjlrxiNCYzwaYrEItb0BmNSPk1yLueJz7QTsI3mCy8TcQx2uwYcssZ2/0GsdypRDV2pKCH+HA3RzTVvLkjtajyeJeXeQ1ZSCoVipI0dTkTPmyd/P8J+v4v3+GK8MlfG/8UFOXDf4uPIz4t6/Wfw6Rd+ycQo6EYj795lJ2tA5Tl2bhmRTVZto//cdLpGA7EeG3bMdbt6sZh0XHFsiqq8q2TRQKnIRpLpCkKACmGER+EIKqwL7icuHcAUaVGcuaikjSMHt6Cxl2IsaIZBYW4d5BA62asMy5Iu4YcGiOhxDFUtqDOyEMOjyFZMhANVpQPFEQBoMgkgj68xlLcl99OwjuAymTHp3aiiUUxb/o135t7HkOiE71KxtL5JrrATPyhsbRLJUIBKq1BSkYPMrDmORQ5wbTpK9DnTSf8Ae1eADk8xnBIodc+i5cPttE1MMaM2nMoDdvJDY4y2x6l8NopDPpjZJjV5Mrd9MZM44F/6sUSKOEznJjEIzjEMW5bYaF3SINKhBynHr9WZm8gfT5GAjGGsHEiYykPP9/KsK+NeY01nFWYg6KkLzrxhMxIMEa7XMG7AQN79gxRVTibFZWFiN4ED748zJdXfBtDbBS0Rp49EOGahIJp273c1jKPISkLjUrB1rcZXWAWQ770v6JBbwi3PV0Rwh9MZuDnNeRSlG0hGI6TYdWR69QTkUXiuTMxXVgMwVFkYwZD+izCgfgZqXfhaCLNMh1AVhTueXeEOeXXUWIOIQsSm9shuztBWa4Vp1XHg6+0IisK580txm7WIssyly6pYO3mNnyBKPOm5mI2qDk2qCBlLuGhVw7RN9RJS20jS5UCItH0eVUUiMRk/vO1AFfMvhWHOEZIMPDs7iAXZSqMBdPHGgzHeHtnFw3lLhY05iKKAu29fkZ8Ebxj6copvkAUnRxilbiOBefNJJwQyUgMoN7yFEL+bVSX2Hns9SN09ftpqnLTVJWJHBtIuw5AIhrm8TfbOG9uMYIgoFaJbD3QR12xnWFLBut9Dbx9336sJg1XnL2YaZIWZWw47TqKz4NKb+Zow5d5ZPMQoUiCldOuY7ap44zPvT8YJf4PQqUcDcZ4/K1j7GztpzTXyrXnVJNl032i1sZJfDoxGWx/zBCTFf77yb2cOJW5OtQ2zA/u28Zdt8zGpD1z5fjHDSqVite2HeO1rR0A9AwG+PkjO7n9hpkUfkjx36cRGXYjZblmjp0mE+aw6Mh2mc/YX5JEIgc24d34VEq7++JvY6qZg+f5X6W0u1Z+GTmR5PWerulibliMpNHT99gPxwskAfTl07EvvhaV2ZFC5dC4C1Gs2fzs4cPjzyV40Wu7+MU/zcFQOZOx7Y/gPvU/ikpCNW81Ut0Som/dkzImIb8eeaCN4TfvH28bXf84Kp0JTX5NmsayqX4RLruBf/v9FqKnaBPr9/TiC8RYXFWM74nvYvAP835Jot/iIufS79FU5ea90/SgjToJSW/GVL8Q39YXJgYkqtDYMyn1tDHywn04TzUHgczzv8L0ynye35wq13ZOczZ93jg/e3jn+Gbp9a0dKDKcM6cIk17N2GlBaV2pE7tZy2+e2kvfUDLzu+/4EJ39Y9x+QwuF2Ra++cAE5UWrUXH1OXUYa+cS3/jEuK60IoiompeyoNExrkTyPmZPycFwhvfDkuZ8FFnmjj9uTcn0z23I4drlFXz1l7tOG6uXgqwB/vXqaZTn2zjaOaGsYjNryXGZOKspLyVzqpZEdBqJs6blcf9Lh8bbBQG+01zGaCCa0v7Iq4f5/Op62jqHuf80HvRrW9u58KwyzEYt3/vDlnFq0Prd3QTDMa5eXoXLpsczOmFIVJBlJtOhJ9dt5tevvk8vGcOkV+O06VncXMBLGyfk1CSVQJ7bzIKmPO5+bkITHGDe1BxaarN4e2eqfMqi6floRB9Kxy4s7Tt5X5DTNGMVo6KNnz28YTzA3bK/D38wylcurkPlyCExPHHKoLJnI9mzqCyI8MSbE9KDeq1EcY6JlzZ18vIp+b9QJM5/PvYet3+2hYq6+YQ7J+YPwFDRzN5jg/zylYnn8rENfZjPqaXQbUyjVi1pzsdm1H3iCxnjssL/PL2XY6foXq3tI9xx7zbu+vzsP2tgM4lJ/L0xSSP5mGHIH+WJt1J1YGNxmaYqNw5TugzZ+whEE3QMBPCH4+h1EtJHpG38X8AbinHPCwdSpNcUoDzfRv5HcMT6tBxLCYKKpgoHlYVOSvJsLGjM5cK5+Rj0egQhmcXp8AQIxxIYtBJ6ZYyxLc/iWHwt+pIGTFWz0BXUEhvqQlM0FW1mIfGRPlR6M/YFlyPlVBDVZ2EuKCM+2oegUmOZsQpNeQvx/hOptthAfLgXU+0ctOUzUMJ+lGgIQ3kzpjmX0TqqI8eu4cpFBTSWWlk5K49FDU5ODMYorSpDZTATH+1Hk1mIc9lNhO0lvHYgSG5JMepAP6LZRaT5KrRFU4i+9wKxwdSgRo4EMU9bjqG4Hk1WEbr8GsyNZ6PNq+RAn8ymfb0p/fuHg8yd4kYVHGJk1hfpzlmMNGUZ2vAggtlJZaGTmopcSnKtzG7I4fw5hWRHk5SZcN2FdDumEy+bT8aMFWhUAv6dLxOrWEJf/lJC+TMwODNRDZ0k6KplRpWTLk8InVbi6iVF5GfoaB+MpJi7AHQN+FnSnE+m00hCVojFZWbUZlGSa0WrkcaDqfcRjiZoqsygsSwDjUbNkDdMaZ6Vmy+cQpYyQKTnKPr8ahJjI0j2LKwzV6EyO9FJCpVl2XT0B7CZtNy0qppSaxTbWBtVU6roHQ6hVatYvaCEJvMAQfS8uasvbawLGnM42ulj+awiqoscTC13caLbS0WhnRm1WcRlBV8gSl2JkxtW1aLTQNdAkOIcCyP+CEXZFlbOKyEUiSMIUFXkYGA4iNuu59rzashzm3h5Uxs9nsAH7jvOslnFPPPuiZT2geEghdlmSlxqbplv5dxqiaXT81jf6mVaVQbNNTkEwjGC4TjTqzO54uxKAuE4ogAZNj2+QJSKAjvLZhYSjSVwWnQUZproHwlSlGXmc+fXEgjF6B8K8O1VWayuinFRk5Hz55fS7UtmsWdNyaZvKIhBp+aSxeWAQoFmFHPVDOK+QRBELE1nI9mzGE3oeXl76rx6RkLMnJJLRtVUhHgMJeRDU9qMccE1eKMqvGHIzjDiHYtSlmdjxewiHGYt97/cmpaVLsy2UFXiRJORR2ykH5XJhmPhlaiyy3hjn5fW9lQ990FfjPpSJ3MachgYCYEAy2YWMr3CiUqSUKv+sjXh9HdQJCaj00qoPqKj7//FO3zIH+XxN8+wNla6cZg/fG2cxP8tPi3r9Z/DJI3kEwatJKZlJiCZAfkwDI1F+cF92/COTfBNv7C6HuMZdGP/FlBLKhwWHT2DqYusflIzNAWCAMf6QvzqiT3jGdJrzqlmfr2BLk+QO+/bNp7NXdKcz7WLC7HPvwzPC79CDiWz4dq8SuzzLiWgsqMqno2roA6QCapsRBMwEozx4LsyLeVXYdOLPL9zlKuydJRo0znhosEMoprnD4NfWUJDy3lsOjpGZZeGlmoz0WCAr/1u1zjF4LIFBSxpyibs6yPYuhl9cT2JwCjDu9/CONPFyaEEr+zSMa/6KoJRhY0vDPPDvCguS0bad0vWDBLREKObnyHclnTIFLUGHIuvwW6sSutv1EmYjHo22ZbzwINJfrEgwPXnnMtZNgM9PQl+9cTu8Q3filkFXNScRQ9F3PXAzvEiuMbKGDeuKCU05WJ+9OIAg95kRr84K5evLmug3BpldOfD/Nvys1EkDYndT2ItupBubbrpkMOqQ0Dg7uf2U1fipKnKzeH2ETbv6+V7N85Ic+wEMOvVDPtCaNRJ6/bRQIR173VRdpaLSM9REr4h9CVTkSMBht96iMxLv0mWXkBa91u+VVmW1Pje/TKOpTfiiwUo3Hg7X2+5FFlnQtz1PwhGB8q0G9PGajPrUEsi5QW2cedCUYArllWRZdNh7dvGlQURLpzZiG60HW3Hq/grz2HDnh7UksjUCjfDvhB/fH4/t17WyPrd3Qz5wqyaX0IwHOf3z+zjO9c1k3kGRaFMu+GMdIcMq4YylxrdwFZiL74BgEql5pvn/jOCVkDqeIvPLZnFmFCBOTGMun8rvrwZPPPOcdwOA01VbvoGA9z93H6+de10HOEuyjoeYk59A2JwEHn/FoL1FzOtVmHo2R+TOKWJrnEX0bzsZp4/mODlTW1csKAUtaTihfXHqSi0M88mM/TKr7HNWIXKZMW/523keAxl0dfS7kGvlVCrRd49obCpvY7qnGZaO8O0WGVmVWp5edNJ7GYdTVVuBoaD3PP8fn711Xk4LLrxeoH3YdKrCUgZaCrduIunAuDHiiCA05pOucp0GgjHZP5zzW5uPr8Gu0nDazu62bCnhzs+NzOt/59DmyfAnfdtHy/EPXtGAavnl6L5C4P2vxY0ahG1JI6P533oPyEnvpP4dGOSQvsxg9Wo5opllSltZzXl4ramG1ZAcjf1wsaT44E2wKG2EY5+QB3ibwmLFOOKZZUp+rAFmWaKMicpJKfDG4rz22f2pQRgD75yiEF/hN89s3c80AZ4Y3sn3lAc33uvjgfaAJGuw8RGkioQiQRENA4imgwSp2KZ490+dh8b4vevtPMfT5+ktX2EZ945juTIQZtTnjIe+4LP0I+TNa8fZsPBQZ7eMcL2IyPc9+JBAv4xfv3cYXIyjFx7bjX1ZRmsebcDraQw9s4DyAqYpi5GV9JI/PAmEsOdnD/NRigS56UdHt7eO4jZoMZh1qAvn4aon6DKCGod5vpFxPtPEm7bh2Xm+TjP/SKyoMJ/YD0FhhCNpRacVh2VhXZ0GhXXLsxmNAwPvXpk/ORKUeCBtUfojxq4+4XWlJOVVzZ30BPS8cirR4jFE1QU2Ml2Gtl12MPJgQjvnBQY9E5wdk/2BTgwoiM60EaofQ+W3ELsucWE+k8wtvdt8l1GCrJOuwcBrlxWhVonMK3Kzf4TQ7yxrYPOfj+XLC4nzxRh9azMlPle3pRBpjbCPS8e5liHF5NBzagvwls7u/AkTJhnriYhiBgqZ6DNq0ayOFFlVxBo3UrM04F86C3k1neI9rcROrkLc1ULaPWoe/di6N9H3DeEccYF2AwqSvOsrJhVwK2XTcVt03H18krkRCLFtU5W4Km3jyHEggy/+QDxo5vJCJxAOL4J7+ZncckDXLm8iv7hIG9u72DXYQ/FuVZyXAYunJNL72CQPzy7n4fXtmLQSRilOLPrsjDq1dx+fTPfvWEGVrPEwmk5qEWFbMfEO00lCly+sARrdIDY/jcwNiwiY+WXUVldhN+5B03cz+j6Jwi/9BPMe9YQevFnjLz9EBkxD5csLqez388b2zrYf2KIaVVuil0ajPueIh6P4qqZiim3BOXEVnLFQYJ73xoPtAGiA20kug9SXmAD4IGXD3HP8/vxBqLMrMtmzJiDYHEzuvFJhl69h2h/G4mmS9AaLUwtd3E6Ll9agdWo5sFXDpFQRKwZThKIPLy2ldGIwAULSoknEuRkGFBLIjXFTgLROJcvrUQ87YWZk2GkJDv5fEWjEJLsBFX28ee8rsSB0zIxf2pJ5IL5peS7TOS7TOw+OsTJvgCtbcPcsLIW7V8YIEcTMr97el9KYPva1g56hz+oYfS3g82gSVsb50/NxW37x5eIncQnH5M62x9DxGWFnuEg/cMh7BYteRlGdGdwXHu/73fv2ZYi9QRw4YJSzp9T9He5d23Cj2/7S/SVnEP3UAi9RqLAppAZOEq8YNaf/fynRbezdyTEbb/bnNb+zWum86MHdqS1/+5LU4m9eGeazrZ1xipovIhjvX7e3tmJApzVlE9ZjokXN3Xw9DvHUvo7rTp+cONMHIle4kPdyOEAansmgi2LrV0iHX1+ItEE7f0+SnOtxOIyc6psWPFjGjlC6ORetFnFiEVNoDWjTYwRG+wieGQbks2NsWo2oUAQMTyKx1ROW68ftSRSkmMmpyCXYPth1CqZaH8biiKjdRci60zIox5UOgPBQ5uI+4cwVs9G0OhRlBgYMwkd20Fi4ASashZ0OaXs8Wj50UO70ubpuze08P17tqW1//NnGtl9oJ3lhSFMPduJG5wMOKbiEd28uaODYx/YoC5qyuGGZTkII30ED6xP0mpq5yPY8tl4PIAzw86IL0IwEiPbaWTbgV7mNORg0GvoGRjDG4iS6TCQaTdg8LcR3P0qgzlzGQyrsWvjZA5sw1gzG5PNRqL3CMGjO1Fn5GOobKFPyEYjB2gfivLW7n4yzGoWNmZTXOhmaM0daTxefWkjztXfINZ5kMCB9SRCY5hq5oIti4R/CI3BRODQZuIjfRgqmlFnl7N/UOKOB/akzdOPb6hHrxHY1x5gx9ERagrMNFdm4Aoc4dHjThrKknrVBr0aq0nDsDeMmhh6o5GewQBqSSTTbqAi18igP8LIWIJ33+siISuc1ZSHy6KlINtEb1cfbb1+IrEEBVlmukei1Ok9eMyVbN7XR+fAGM3VmVRlimRoIqiDHqKeTiJdR5I60VYXgkbPYaWIaFymfziI1aghy2nAFB8hJmg4OpikIGXaDcxpyKE4cQLf+jXEPB0p92yacha7XOfhGQ0jigIKyQ3AvuODLJtRiKerk2qTH7USYVh08ujOMF+4pJFEQqZnMIA/EMXtNKDXSIyFYui1Ko50jHLgxBA1xQ4qCx0Ew3G0GpFeT4CdrQMUZptprsnCMxKgsdRKuydC50AAnUZFUaYJp1mLqMSRRtsI7nsbQSVhqFtI1FqIrAj4w3Ha+/3E4zL5mWYyzEkjHq2vnWDrJhKj/egrZkBuDTGVNe13/lPwh+Pc+l/r0tq/clkj9cX2P/v5/6t3eFxW6B0O0jccwmHRkvsn1sZJ/G3waVmv/xwmdbY/gZBEgYIMIwUZf57frFYJzJqSnRZQVRbY/m6bjIRkRBXx4nj2n3Cc1q667N84g9bFpxYuk4jdrGXEP5FR1UgiuTYVtSVODpwYSukfkUyYShvx73o9pV2TVcrBXj8/vG/beJZ3875ebruuheKcdLrDtCo31sQAnqdO198Gy4xVFFWv4um3j9HWm9TT3nt0kMZKF/lzswlveJKRU9J84ba9qI9sw3XF9wnu2cLo+sfHrxM4uAn3xf9CXA4iPfUNyk61J0SJ6NXfR1LC9D3645RCSPfqryMZTPQ/8WOUWPKIPHRiN44l16EtamBgzQ9I+JPzET65B6XxbNx1F2PQSeMOkgBGvRq7RUu+20TnwIQaiihAtstIWYmX2Lp7eb8k0K3ZQMGFt+OvzkoLtutKMxBHPQw8+eOk3CEQPLqDjFVfIdtZwHfu2ZrSf1ati1yrQOjp2ykaneDyqqrPwjRzFZH+Vlwnt40XPApqHebFVxB670V8219K3nPbXgKtG8m++JtsbJP5xdOt49d5c/cAd93cQkZJY3qwXdxArOswA0/8GCWRvLvQsZ04z/0C2ow8+h+/a/xEJHRyD9bZF1FYtzztWN5p1WF3WHhw7WHW7/MAsOvoEBv2e/j2FfV0bjickg0HuOumaRzpifOLpyY2iGpJ5F+uakIQRe78wHP5rWubcesjKE99i4LTdMfrzv48o7ZGfnL/9vG/id1HPKycV8yV83MZeeuPRPuSLpXh9n3oiuuxL7qO3/1x33jhKSQXvXu+dRZv7uzlobUT87d+dzff+ewMsksb8X4g2NblVyPFBda8kWqSdMWySgw6ifveOZ2f72FuQw5uu4Z//sVGPCMTRZuLp+dz/oJSfvv0Xg6eTFKS9h4bpKrIzpcurufFDW2sPaVfvvuoh417e/jmNdNRte3Atva32E5dR9Do0F7+7xDy4nnih+PXDxxYj+vy7xI2F2LWSdQVTgS+igLaYDeDT/8E+ZS8ZejEbqzzLkNdfx6xMyn0fAiMOomaYsf4PbyPM9GC/paQRIH8DCP5H2FtnMQkPk6YLJD8B0BOhpEhX5huTwBJJXDRonKayjNQ/Z2KJGUEDDlFJDztJPxDCJIG26JrULJqkYU/z6/7tBRcmIKdVGSq2d+XIBiOYzVpuHVZJkV6H+U1FRzrHGXEH0Gvlbjlwinku8yYMtzEvf1J/WqVhHXGKtQl01mzrpOO/lSpvXhCZvH0fLQaFUc7kw5+9WVOLlhQhnH4MPGRPhyLr8ZYORNdfjXe7S/hzZ/LnmPD3Hp5I3PqczirKY933uvk3EqBkbceSrm+HBrDXDuPobW/Hw/wIKmnrcstx//ea0lt4PH/kLHNXo1/9xsojgICM28iWrEYo9FIvOsgoloidGxnynfEBrsxVs/Et/X5lPboQDvmunmUlOTQ2jZCKBLHYdFxy4X1iCqBDJuBvqEA/mAMo17NZUsqmZ4DgTd+hxI9je+aiGPOL6Mn4UAlifQOBhBFgYXT8nFaNORETmCZczHmKQsw1c3HPON8vOsew5FfiNNu5mB3kERCoTLfwlX1Cna9QmK4B9e5n8dYNQvz1KWE3nsZfXE9Onc+0YF2lGgIldGGff5lSHo9Q28+gGPhVZjqFmCsnEHU04mSU8cvX+5JUTVJJBSK3DoqSnNQYiFini4QRExTFqCvnkv45C7C7akqGwmfB0NxA+HeE4QW3Eqg/GwMuWVEtj2Ds6aFYpeWvZ1hIrEEmXY9/7TEgSJp+cPLx1Ou4w3EmFbhYJrTj8mdRUO5m5piB0vrzJTpR7hv3VCK26UsK3x2VS3PvXuC9t7UrFcklmDxrHIiXYexL7gcY9UsNBn5hHa/xglbM+++l6r+crLHR8uUfNj8QOrzPdqPvnIGGnsmvYMBxkIxzAY1ly+txGbW89un9xI9TVM6Fk+6QubluRHDPuLDvSCqMDctI5RVz1BEg0Gnpr0vOd7mmkxyMozUljiRVCInurwkZIXKAjuNlW6sRh1v7uhk+awi6stdZDkNbNjbQ2OFm6feTk1+DI6GaarM5OFXDzO/MY+W2izK822c7PFRkmvDuPl34xrl7z+XhrImAu+tJZ5ieKQgavWo8qaccV0Teg8QbE09LYv1n8RUPZO4+NEDZQGoLnZypHOU0bHkO+jzq6dQmmXho9RIflre4ZOY/K3fx2SB5KcAJp3ETatquXRxOZIoYjVKpycN/y4IazIwnvs1zKFhkLTEtHYSn2zlqb8+FBnbhl9w29SzCejcGGKjSDseQ1hxC3aDmm9eNZ3RQASdRoVFr0aWFQLaLMzLvoR1rB9UaqKGTOKSBuhMvzxJF7jKAhu3f3YGCVkmIctoJRGV0Yq5bh6Dr/weJRpC7SrAvfLLRFUSFy0q578e3cXoWASXXc8tq+sBz4ffxpnaPnSDqzBWtIBXD8eoTRjQSCre8U9heU0z+uCxM/T+sAspyIkE9714hCuXV6FWicQSCe55YT9fvLiBB145xNyGHOZOzSUaS/DChhOsqk0vtAQQ5Bi7D/URUUQuW1KBosCO1n7MahnNzAoC+99NnibICfTl03EsvobAQA+NJ5+kevHZRAUdppG9CNt2IVz2b5iqZ9H/1H8gh8aQ7NlkrLiJuCBwTF9He5kLmyqML6ElS5tFA0EyV93K8NsPERvsRNAacCz4DDH1mWs0ZJUWWYlinXcl5salgIBocRP3ez70h4hLet4r+SwPP36UUCROcY6Fm8/9dyBCna6f788PE0SHBS92tUw/2WeeckEAAfYeG+J4tw+9VuK6hcm+Z4q/PvRwXwEUGW1WMYMv/BolkXRAdSy+BkbTb0JRznxryf9TeODlg8xvzGNeYy6RaILn3j3O1PL0Itz38aOXBzm3cRVTm85FEUReao0TOhDFbFRo7/NxyaJyBAEOnBhmx6F+FjTmsmVfH6vml6ISBTr6/Tz37nHqy5ysnFvC0+8cIxCKkesycc2K6g/9XgS4+pxq1m5u4+2dnRh1EqsXlqNTf0gC4sP+iBT5IwW8/1vYjWq+dfU0vIFoyjtoEpOYxF+OyWD7HwQi4DAmd1V/70D7fcTQgD4r+Y+PyZg+TlBZnOgKawjteZ73mV4qVwGSLVlIJ4mQcUrS6vRFLqxowXhKWVoGonEWTstn077e8fVZEJIawUe6vNx5fyr/e+XcYq6cIuJ5/d7xtping9GNTxFf8DV+uWbnuFqEZyTErx7fzS++MA1D9SyChzaNf0ayZ4PRirX5PEY3TNBIRJ0JdUYe5ukriLzw3xNfLErEx4YZ07qoK43x8sY24rLM8plFBLU6NKYEglo3TiMBsLacB6I6Tfvb3LAY2eLAae3hV4/vHm+vKXaQYdUxryGXN7ZPUAVcdj0xiwtLy3mMvPXgeLug0aNxFbJsppEfPrSXfceTfHhRFLh+WSlxTyv+nWvH+4eO7kDjzEU/bSVjb9+LeuuDqEkGg9Kcq1BFxuh76Tfjf4TxkV4G1/6B+Mrv8/M121MUJ3Safu795+mMvno3scHkZkmJBBl67R4yr/weK2YX8ccXDoz316pV5LjMRNs3MPLuIym/qWPpdWjya0H1LJxmTGSafi7H/HrufmGCw36yx8fDb3fy9Uuq8b75b4iJGCaSj9Ko2UHWZVOYW+tkw4EJGlNhpoFcu4b/2ahwvDtJMQpF4vxmbScFN01j+awov3l633h/tSTS1uNj/tRc1u/uTokbFzfnEzq2E++mp8fbwh0Hkaxu8uuvSKNWLZ9VSK5ZxptVMu54CqArqkcwOWmpjfP6tonfOstpwKBVsWp+6bjSCiSpv95rgQAAIABJREFUEQVZZlbMKuJnj05w/VWiwG3XtwDw6GtHON41QSf6xlXT6PKMMToW4cnTJFmvO7cGi0HDw2sPjRc4d3vGeHVLO1+/simNglFVaCfLYeChVw7RdYreFAjHeWjtIX5w82yssy9meO1vx/sLah1iVgmG2nmETpxWlyCI6IrqiSTOHPSqXAWIOtM4jQTA3LKSuN4FfwGN5H2oReGM76BJTGISfxkmCyQn8bHDp6XgQjdyhKjWSvtQgr6REE6zhpJMPVp/F5HMqX/RtSQJuobDdJw6si/IMpPn1PH2nm5WlCaDaTkeRe3MY1OvgRbdCdQZOcRHB8cLJCPDPezRNLHvQBsLChIYEn7GVFZePqyweHYFdfYAsY79hE7sRptdiq6sGSERRtAYiPW3Ezi8BcmWibF6FpHgGCq9GQmZ6GAXgkpC4ypAyi5j+yEPd92/PWX8X/1MI835asSxfgKHNpLwD58qkDSwI5TNTFeI4JFtRAbaMJY3I+VWsrNfR75FRvJ1IfuHEM0ZxCy59I1BlSOGJughPtKPaLAgOnLpVTLI0QZI9B4lcHADktWNsWY2Hk0BW/d1UVbgoK3PjyiIlOSYyLAZkbbcx9i+d1LGqnYV4L74X0gEfMQHO5GjIdSOHI4ELJTSzuBLv0n7fTwr/4tjHUMUZ5sZ8UexGtUMjIZZVKZi+JHvpPV3Lr+ZX++zUZZn48CJIcxGzali1QSLlE34tr2Y0l9f2sjQ9JvIjnUQP7IROTSGtmoub/eY0Jht/P7Z/Wnf8fMvzcCy6+GkaVE8iqDWEjq5F0vzSnqOH+GQUsL2jhi12WoazYNkZLm4/o99adf50sX1HOkYYWWdGmGkO3niYsmjPaClxhqgM+bgrZ2dyLLComn5FOrGMAY6GHo5dZ5URivWS79HR1DPlv19tPf5mFGTRXWhDaP3OGYxQnSwk0jXYXQFtUjWDAJqB0/uB4tRw5GOEXJdJmxmLS6rnuIcE8d6/Gza04PbYWBeQw6iqLDzkIeCbCsb9nSj10jMbsihrWeUs1ty6R6McLLHh6woFGVbyLRpOdg2itthSFqsRxPkuUx4hoPkZ5mIDPZQbvAiRPzIJhfPHoTGKcUgkFIgWVXoABS+d/fWtPn7+hVN1OfrEQeOEDzwDiqrG331PBRHHuF1DyIV1BFu3QyShL58JuGuVpyLrsLrTZf/E8VTBZKHNiYLJCtnImTXEFX/ZQWS/1v8b9/hSd+IMYZ9Ydw2AwVuI9rJQsiPJT4t6/Wfw2SB5CQm8TGFYs3hxR3DPPnWBH1ifmMu1y4sOeOx/J9Cx2CIu+7bTuBUsaBRJ/HNa5tZUSzjee5XxL2nCrxEidkXfQ2VsYSh1+8l0j1REOZccTMVbi2FbXtg4zsAWIHPNF6Io7CJF7b4WLfLwuLmK9lzZBBtu5erllXhHNrNyLaXcK/8AuGeYwy/cR/OZTchRwP0P/mTcT63ymQn+7ofsfkDBjUAb27rZEZ5Lf1334F11oVo86sZfOMBtO4Cpi+8jpF3HiM23ItkyWD47YexL7icKcUtxHc8M14wmgDM05bjaLkY5fA6Bt6a4PjqihvIXnQdymAXg2t/j9ZdSGhkH+GOA7jO+yKZLgt3PrCTSDSZ/bOaNNx2zXSyMvLSxqrNLCKh0jH0yo+JeU7RdwSRslVfRjRkpvUX9Say7DoOtync9chE0LuiORuxLhOVJSNNYUZltBAMxXjk1VZK82z0Dwd5970uvnRJA3jVad+hySzGG4jyrQe6aa6ZgcWg4d1Hu5lepWN+TrrhR67LhEkjoiTijLz76Hi7peU8RLMd9YGXaBBVTHfmEW/rJxEYRbryTnJdfro/YFLjMEmcVyEjv/CD8ay62uykcvnXUfcdwrX+UW698vsIokjvg19HmnEOYlZh2pjUrgJiKj0Pv3KIvCwzS6bns+aNowhiMTOyrXjWfAfJkY0+v4ax/e+Q8A1jvOyHbNp7GFlRKMgys/VAH8O+MN/57Ax++cRe9FqB266fRd9ggK/9cj1fu6KJQV+Y59YdZ15jHsFInB/dv53rzqvB7x3jpw/vHZdR1WpU3HHdVDJsen73zL7xjLQowM2r6ymyxAnvfAFf297xe7ho4TX4bNV89b/WUZxrZfaUbLbs6+OJN4/yoy/OTsvaAziMInFBC5lT0OU2oCgK4YSCWS3RkXsW//7oMXJczSQSCsO7Rrn9ktkYw+mBNoAsQ8hUiHZOCZKk+kRyaaOywhNvH2fdrgnjq4sXlXPOzPzJE9JJfGIxuVX8K0MmKU8k/C1Idf+ASAD+YPRvwkn8e6PLL/LMO8e55pxq7vz8bL54cQPrdnXT6f3TN69SiYTiyriyi8WiYcOenvFAG5JH1Bv29CA6c4mLIhnX/YyM63+OuWkJo5ueJTbcmxJoA4y8+yj2aB+0vpP6hbufIzY0wBNvHqVrYIz7XzrE7qMeth7op3c4yMi7j6HS6ent7iMwFiQ62I2g0eDb9nJK4WRibISYdwDdGQyatBoVgiKjq5iDULuUoGsK9vmXY66bB94ewu37SfiHiHQfRomFGV3/OFp/T5oyi3/nq2gDfSm0FkgqmDDSzcj6Naj0JqL2EmR7PrGRPuKeTrYd6B8PtAG8Y1H8oRi6/Co07onAUGWyYWpYRAwVsUCIjJv/B8tnf03G6q8n58FowTL9nIkvFkQci68lHovy1LpUBYxXtvcSjoFj4VWgmpgTU918RL2FixaXo9NKHOkYodszRm2xg+IsM4bKBiTrhL6z2pGNvrieEreeOVPd3LisiMvnZ3POrCJWzSkkzyYxu36Ch62RRK47txpztJ/gkW2YGpfgXPY59BUt+HauhUSUxIyrkSMhIt2HSQRGURpX0xszc+MCJ5rTMowL6xyUmkOoD7yUQl+R/UMYfScZtlYh2nPoe/i79D54O6LFypBjCoIjH21+zXh/UWdE33wBHSMyB9tGeG1LBz9/dBfdnjEefbUV2eRCP/cK4kPd+He/TnxkAP1Z16MzmrlhVR0um45Kt0R+ho6V84rJtOv4zNmViIKKfXuOsPdgOy21bjLMapY2F2I2anl7Zxdb9/dRnG2hutjBjtbBFL+CSDTBS1s6GfFHxgNtSOqRv7ThJHI4QPi0QBvAu/EJnPIQVy6vQpYVuj0BZEXhimVVCILALYvdSKdpXp83PYNscYJuEo/LJE5RRAKBGK8fDBCKJDje5aWt14cvEGVnV5xY7E+/I5RYlHjAm6Ld/UlB73AwJdAGeOadYwx4Ix/yiUlM4uOPycz2XwkKcKJvjMdeP8xYKMZ5c4uZXuGaPPr6iJAVhaM9Ph574wjRqMwFC0qZWupArfrHnb9gNM4dN8/mta1tvLjhJGV5Vn74+dmEAh++qHjDcXa0DvDGtg6MejUXLypnlj2TgTOYTQwMB1HpjGScdSW+tf+NHApgrF+IYdENyANH0/rLQT9y5AymFYqMHA2lObcBBEMxQrNuZFOPlvWv9ZJhy+SSc39Ctghx/1Ba/7ink5l1U3ljW8e4S6oowNkzC0kkYnRUXsbjj7YyOhZh8bRC5tbasQ/tS7uOHAkiR0Jp7aCgxKKpiiOnfSaS18yOeDmv7fPiNJVz6bxFOOQRPN5AWn+TXs3vN4W5+bwvEhvqRZHjqB05/GGjn8uWiPjP/ja/e+QQHm+UpU1uzlr5bZRECLW7iMxLvkki4EWyufEf3kZIKkpzjwRIREKMbn0e9/lfIRH0IWr1RPvbiHsHqMo2890bZtDtCaDTiOQ69WQaFUbXPodz+c3IQS8IAqLejHf7K5gWXsOiKZn8x5pDjIXjrJqZTaY+hjDm4YL5pcyekrQ7d9sN2AwCiVCYzIv/Fd/uNxg99h76oim4L/gqSjiAu6AIzv08Cd8gotGKypHP3lGFilArP768kp6RCCadijyLgibqY8yXXkArjw2ztseBO+dKKquCCMBRv4F928b4l6sqEObdgMXfA/EwijWHncM6LIb0Z8wfjDE6FsGcVYnp0n8n7h9GsrpIhAIow+1Mz3NTV3eSyNGtSJklGKeuJqyEscWH+Vp1O4GdD1FkcnD2nNUcHPPzwtYBvnJ5I8P+CJIooNdJ7D3iYWAk/e+udzRKxWmKMO9jyBsiEj9DMWc0hBINYzebyXOZeK91gLoSJxk2HYOjIXJ3/54frliNJ67HLCWwdb2DJjCDiL0o/eEQSPNPAOgbDp1K5qR/f1Jnuw3fxseJjw5gql+MpnIOUVW6BOjHFcEzzHdCVgiF4zBpyz6JTygmg+2/EnqHQ9x5/4Se7D3PH0B1fh2zajL5B6fF/1XQORjkxw9OyL795um9H9lA4ZMKt93Ezx/dxfHuZEHWtoNhjnV5ue265jP2V6lEdh4eSCn6+slDO7jrlhZm1+fw3uHUgGd2Qw6h7sMMPvNz3l+YvevXYBNE1LkVIEogT2Qj9eXTUNmyEA0W5KBvvF3tyEayuCnJHeJE90TxmF4rUZxj5ZXNI6zdkixc84yGuLPTy/dvbCG/Zg4j6x5LvQe9iTJpgO98toX3WgeIxWWmV2dSrB3k2ICTux7cOV5j8dgbR4jLZVzWVIIgaVDipxUXFtYh2TLTCicliwvB5ECbX03kNC1qQdIguQrZ0ulgzakMs2ckxA+7/fzoxgYW1Yc4dHLCVRDA7/MztdzFJT89XY7Qy7XnVBMPB/je/XvGXSofeaudcFTm0qXFDD/0vZQiT212KZkN55Ht1NM7NLFBsJm0qI0W4gY7A0//9LRJksi65i5CBzei3fAEJaeaFUFEueSbGCqa6V/zg5SxOs/9Iif7I9zx4MTG5A8vH0clllFdUcJtv1yfslla0lzATfNsDDzxIxKB5H2P7XuX2FAPznO/wOiLvybSO0FvUhltTL3kW4x1DiJufpL3yTUBlRrTZ/4Ndc1ZxDdO0FEAxMwKphks/HjNwdNnla9eVMXJfi+3/2bPaRuQw1y+tILibCuSShzfiAE0VblxmSXGHvkpkdN04SVbJqqLv8Xwa/cQ70jed8I/TKy7lYwr70DVvwXfzleS7b5BIk//lNpLv013hYvv/mFLylj/5aomijPUvL4zleK0tNFNhsuEIKSKg8xvzMNm0jDwgedSm19NwuTmicf30u1JZsPX7e7maOco/3p1Exp7JvKm35F/qr8gaVDPv4Azba/lhMKS5gIOtY2ktM+syybxIdJOmmAvnscn6DzeDWswR4OIjRedcbP3cUSuU4/ZoMYfnAi689wmsu0fLqs2iUl83DGps/1XgCDA1kMD7DuemsnrHQowvzEH8dPAifhfQBQFXt/eydGu1GBnxB9hbkPOh+t+fcLRNRjk2XWpesahSJz6Mhcua7r0Wyie4L4XD6VoLwOUFTioyLPgdhg52etDq1FxyZJyphTZ0Q8eJqxIjFafjz9nJobMfBJHNuIpWkhOVR1RTwdKNIyxaiamlpV4BQvmmjl4ylfRl78E9bSVZNW30OlVM702i9GxCAMjIUpyLXzh4ga0GhW/f3Z/ShGyrChUFNopzbUgGW1EPZ2oDGYcC69EXzOPPSdHKQ3soSLWSq1uAEekh14xi+OeOLuOpG4YejwBZk8rRd24ksHS5QwULEXbsprsafOJDnSic+chR8MkAqPo8qowNyxkQHQjZZejTQSJjfajceVjWXoTIb2b/372SIr2sqJARYGdqsRBnNk5HB+IYNSruX5hJpXycSyFZeS5LZzs8SEKcP78UqZXuTnWPsTmg6k865N9ARY3uHGU1xEb7CIRHkNf1oR9/uVIoSHqK3Pw+GJ4vFGqCy3808oS7NFeTmircBkF4sM9qF35aBbdgt5kYeSt+1Gip2fvFdSOHISymWiMZmIDbQgaHba5lyCVzmDd3j72t6Ua8/SNRlk+NYNATGT1wjKmVbqZ35jHG9vbWVIYJfCB4s+EfxhD+TS8W55LaVdiYfQFtYxueDI16lRkhJwatPk1KFojCU87KoMV06Ib0BdWY1YnyHaZONYzhkYSuWpxEdNKLWw/4mPvsdT3Zd9wgJl12TRUuOgc8BMMx5lVl83i6fnIgkRGeS2yb4BEYBR90RQMC64hFE0Q2ZQa5CvxKLqCWrwbnkjZTKLI6HLKcBUUYbMZOdHtxWzQ8LlV1dSXWHFqouRl2znS7UelEvnM4hJml5voHIlTWeigbyhALCEzf2oeVqMGp9uFvbgKeaiTRDiAoXw6SuOFnBzT8dLGVOOfsVCMuVU28mqm4HdPZSBjOqqKuWS2nE3UWvyhCRmHRUeGXc/xLi8GnZrrz6uhusCO6kPWFHHgMKHDqRuJWH8b5vqziIt/u6zw/0Z72eo/Rk1NCT3DEbxjUerLnVy/tJAsxUNc+4+bfAHwRxO09Y/hDcTQ69SoPwE0oEmd7SQmdbb/BlAUMBnSi5asJu1koP0RoChgPcPxoN2i5cyHpf8Y0GpUiAJpGSfth+juqlVi8jn7ADtDUomY9z/FYkcm026ajwLYu9YR29/HWPEcHg/o2PBiMjvmsjn5xvKrGfVF+Y9XvNzxmS/j1Chsbotz7+9P8l9fzOCdI3Hue3EvCVlBLYl84aIGKgu1BI/v4Yb8dkLNjWhG21B6NxMrnY9Jr04r+tKoVXg3PonKnkvWZd9GkWVG1j2Gtm4he7tjPHjUxI0LS5BEuHfdEPnZY1TmpWsjmwxqZJXIG9u7efqdYyhKMqP+z1c0UZOdx+DTP0Zf0oC1+VyiA+0MvXE/qs/8nFvvaWdp00IWrDiXo0Nx7n6gk9/eWoBZr0nJmEFSi1zbe5SZfWuZPmcBghxDPLAGaeoyiIVQ5AS339CCokDv4BgaOYRKZ0gbq9mgQRIF+p/7JZnn34qo1RMb7qf3ke+Tdem3UT3+LW6ZsYr43BpUg8cIP/cbxIu+gWDN5Nd7ptJYN4Pu0TimNh2XZ4mo9KZx18z3IWr1aEPD+P0jOFZ9FYDI0S1oYz7MZ3oHGSRUkogowk8e2nlqnGr+6dKpCOrutP4IIoKkAUFM0xAVNFpEnTHl1ANAEdVo5SAh3wDmsz+PEgsjd+9DlZ3PE1vHsJo0/OymqSjAuwe8PLJxgJKcdHUMk16DrCj8cs1uLj+7ggyrjp2tA/xizS7uuGkW8kAnotY4/lsLvn4kZ3GS755I9aYVVMmxJmLhD7RrMCk+5vY/RvO8KoR4GHXHXshZjTDaTX33Rr7fnIMiqtEPbEWTMY9orJTHXjvM7PocLEYNO1sHaE3IzJySxU0P9HHj0msobJF4/fD/Y++84+OozvX/ndnZ3ne1q1W3mmXLvXdjMNjYxhSbHkoIgXBTbxKS3IT05N40IPfeVEhIQgmht1CNwbjhim25SpZlq/eVtveZ+f2x9gpZcsovXBISPf/w4Xg058yZMzvPvOd5nzfG6w+28NWPjEySBdBrRY6FTXz/2QbiyQyCANevcLFsWuacBcj0ksj50wqZNzEfQQCDpPmTO6WCNPJ3VDSYUcUPzqteEARsL3yBT82/ltR5Vei768g8998I13/r7z20/1P0hpP89Mm6XH7ApHIXH15bi/tPELgxfHAwFtl+j2Ax69hxuDvnTywK8PH1U3Gaxx6UvwQOq4HtBztzW90aUeBjl0/Banj/XhLSaX39+6X6sZokkhmVzv4IUyrziCfTTKpws2R6AVoxOxa9XgOoqCqIgoDXbebtg5385q7lLJhcwJ76HlYvLEdrtRPb8Et03YeQmrYRO7od5l7HqbiFP7zZwiULx3H+rBK2HOgkpTGzdHIeu+v9PLurly31ETbV9fDRVZWIehM//sP+XKRaUVQOnuhnydRC9G/8iEz7UfR99cin9qA278c7fT52Tz57jvXkrsvnNrF6fil5XjeBt35PpO4NIgc3oSbjmEomYHT7eG1nK/NmVKCz2Hh280luvLgWt13PgcZ+4skh4nTrpZNIplTue3ZIHpGRFepbBpg9pQxTsp944x6S7dmKmObJSzFVz8YkZnhyWyev1w2yuzFIdaGZZTMKyLeqbD82tC3vcei5fE4eir0Q+cgbGIQMmlAnciyENO9qDrUn+cXzDURiKTp6wzz4cj2SABUlbo41D7BkWgHrllWyt6GLq5bXUJBvR9NxiOjJOgRVYfDtZ7DPvhht8USQkyQbdmAQFZLHd2AsrUUcv4QfPHaUEx0hDjRHaOqOcax5kCm1hRQW+YjV78Kz/gtIriIyg53YZ68hdmIv4b0voaZipDuOEz26HcnixF5azfaj/mG/QZ+4fAL9IZXfvDQkqUmlFdp6IiyfNw5lsINMYOje2WavQlM5C1HJkOptRuv0oWbSGMomoZ24FMHuI3VySFYjuooxT19B7J0XiR3bTt7yGxA1GgIbf4fOV4G1ZDy/ev4wWw718+aBXt5p6OXGVRPxuoy8c6yXxOmkVEGA2y6bjN2s5chJP5v3dfD2oS6au0Jcv7KGWQUy/c/+iIy/I3evky2HcMw4H1lnI9M+JFXRFE1CM+lCzG4P8cZ9GMZNAQFEvRnzzFWED75F6vgOhK6j0HMcZaAdra8KKRMnvPcl6G5A6DpGJtiL1lWAadxkdh/t48hJP/Utg4SiKW67dBIep4H6lgCv7u3h9bpBjndEuGp5NXNqXESjcZq6hvTWF0z3Mru2kO//fv+wJMxDTX7mTynAahj5oXQGqpotUy79BVFOyWAg1Vw3zGfbtfJ20rbSP/u37yX+lminZDCgBjpIHdyAePwtlM56rDNXQPk8lH9STwdJghffbmVfQ2+urS8Qp8RrpdR7bju5fwSMRbaz+HOR7TGf7fcQgViaxvYAsUSGmlIn+Q7DX23h9q8KQQB/JMXxtgCyolJVZCffYXh/wtpqmpbuEHuO9eGy6phV48XpsKC8DzZTg/EUjW0hjjX7qSi0M7HcRZ5ZRzQl09QZ4sDxPgo9ZqZW5eE06XCofpRAN7GmfWiMVozl0xkwldHY2stcV4jYiWwBDFPlDOrCLtKqxBzXIPGTdcjxEKbKGXSoHuxiAq3BSKrtMPJAB7px05E846jrkrn30f0jxvmVm2dTcfIJtK4C0v0dSA4vKApaTykBz1Ta+5M0tgVwWPVUFdup0EcJHN2CpayWVNcJBK0ebX4FktlC2pRHe1eQPcf6yCgKcyd4KfGZ2X54EKvNQN9gnGgszbhCG7uPdjOp3M3Pnz44YkzfvWMBJcYoYv8pMv52JHcJSl45hlSQvkCcZrWAEx0hClwmqj0aiq0yPRt+i798FY0BDTa9QKW2F68FXvOXsaYySaJpH4KkRV8+g7irit2HOjivJEXy5H6UVAJD1Uy291gxmMxMcSdJNh9ACfWhr5hJzFpCWjRQRB/JtiOk+1vRl9Qi5VeihnqzPuBdjSQ6GtD7KtEV1dCasvOFn4/0Xv74uiksrZZQ/e3EmvajMdkxVkxFthUSPvAGHflL2FvfhygKzKrJo7h3K6aiCfhFN0dbg8RTMhNL7RSIfWzvcXD/80dG9PHfn16ITzOI3NtMerAbrbcU0VVCa1BEAfqCKQ6dClJdZKWq0Ex7ECYV6VEG2kl3NiJaXEiF49GKKhGNjfb+JO/U92A2aJk5wUuFKYDG5qW+M9uuKjBrgpdxXglV0NMTSNLYNkgknmZ8qZMCp5FDpwbJdxnp9sfoD8SpKLLTH4iz3NOL//l7R1yDd92dhG3jEP0tZHpPoXH4ELxVhLCQTsTpj2R4p6EPj8PIzGo3PgtEX/jekGXjaZgWXIUQ7iF6eMuwdp2vgrwrv0yLP0NDW4hgNMn4EgeV+UZUQYs/muZkZ5Aef4yKIjslPgtWrYZoLE5jV4zW3gilXgtVBSbSqobP/2TbiGu48/qZ1JY6RrT//0KfHkTpaUSODKItqCZjL0V+nzex/1bvZWN6AKXnBOmBDrTeMgRPJQnN++sV/n5CFQX+88G9w3JiIGsF+7FLa0km//qCRO8Xxny2sxjz2X4f4TBpmTPeMyKZZgx/HqqarYA5f4J36OF9H+ZQFOHwiQHufmKIjDz3dgf/eesMrJb/24iCIio8v+UUW/Znt/M37+tgwjgnn1g/hR1Henj0tYbcsa/vbuXbH56NPNhK3wv/m2sP7X+d/PVfZK4zRc+TPwAl+6Mc3vca0676EoLWkPW6Pu0yEql7k8K1n0J2lxF45ocooWwkJXX4TYyLrqeg7LwRCWpWkxa33YAgSgS2Pplr1+WPwzRlGXuPDvDbF4/idRoJRdOYDBL/cdNMws65fOe+elw2B+mMTCrTyg9unU4yGOSuBw7k+njh7Q6+fcsM7HYjP3hoLyaDhNkg0fdmggWTC/A4jSPmrjDPjM2sI/LWr8mog+Rd/Hn6X70HSePBcOGNbD7UxZNbDmAxaoknMxTnmfj+bTMwGEw4t93LfL0JJZMCOYN2/Z2sssXpe+pHnFl0wr4NuK/8CueVQP9T38slwUUOvM7idZ8nbtQRfe57ueTC9OGNmC68Hc/4mfif/CXpvmwSZuTwVqwzV2KacxmhzQ8Rq8/qaaNHtmEonUTRRbdRmm+ltWf4y2p8iRW58yD9L/081xbevwHv+i/S7l3Kf/5uTy6I8OqOZu665TzGJxtRn/8204omIDp9JJ55i8y0C/COu2LE/I0vcWA3ivS/+DvkniYkm5vMzj+im3w+eQuv4aHXTrH59Lp8/Z0uqkscfPKqaWw+0sNDr7RjNtpIphI4rA3cdeNMOnpj3P3ovtz5X93Zwl0fnosYifDd3+zLJZK+vKOZb98yA4MJvvvb3TitevJdRp7Y2MhnrpmOx2HkW7/ehcWowes08/SmE5T6rKy4uhBBox1mJSnqTWisLqSDLxDetwFj7SJi+19Fa3dRdMXneb05ya+fH/I1f21XK1++aTb20hlwFtkW7PlINjecTbbLZ5ISTLisaRbUGtHpIJUa+mlym7W4q/PQT4bkaSVVWoWHN55k77EeTAYtsUSa6eO93HppLUUe8wifcvco+Rl/C5ImPdMiAAAgAElEQVRaJxTPRRAg+QF9D8W1Liiei1gKyX8Bb22dRmRqVd4Isj2hzPUPTbTH8Jfjn3NP5u+MMaL9wYGcTvP7N5uHtUXiaU60B0f/g78BFmUAS7wNC1li1eVPsvXAcN1sffMgnf1xnt/SxLrzK/nijbP59NXTEQWBPEOC4K4XsExdhveKz+G57NNoXYWoSproka05og2AqhA5vBU5Ec4R7TMI7noBTaAzR7TPILHnGZxilDvWTcWgy+rGLUYtH18/Da8UJnIWEUn1NNOX1PP0pqxrRe9gnEQqw0AoQWtPlKd39LB8Rj7fWFfAN64soaLQSlGJh7cP9Qwj84oKL+5sY3qFk4vmlpJIZugLJCj2WphanUe+Q8+H19SiPS3zcdkM3H7FFLxKBDUewHHBv5MKR3Eu/yyZUDe9oTRbjnTwsy+ez10fmcs9n17CRfPLkGMhjFUz0LqKshaHioJt1kpAJLb/Nd79dafKadTYIMnmA8PcJkAlvPcV9GoiR7TPILnzCWLxTI5on0H4wEaEYGeOaOfmu/UIQrCbj66pzhEuSSNy48U1FBlTBHc+j+O8a/Fd93V8134NXWE1qe4mDjf1Dduty8gq2+o6MYyfjWXKeaQ6GkgcfgtdfjnWqcsw6ASuWj4+pwv2Oo1cs6KGWDiMGuyCCz5JZMmnEZd+hFT9NgLBOFvOWpeNbQH8gThPbzrBnPEOblnq5qoFXpIpGaNZz3NbTg47Pp7McKzZT/dgMke0IStL2rCnnYoiOz6XidsvKuTa+U5WzSvimbea8LkN3HJJLefNLGV2rY/zZhbx0UsnMSA6ca+6HUGXnSfRYMa96mN04iG8f2O2z6PbIRUh3ddKT1w3rLw6QCCcpKUnjGniQqTC8bl27YSl6DylnKIIsWpBrl0sqqXZWEsqnUEURTSpEHLIj0YYSX6S70pZ6B6IsftoD4qa/S1RVNjX0Et/IMEnrpyG83R+ilYS+djlk0dNhv5bIAgCiYxCKJ4ZUQMmlpbxR1OkPyAE9v3YXfxHQDots3BKARPGDSWALpxSwIT3cMdjDH9fjEW2x/AvDQWVVHrky3M0T+n/XwgCGPqP0LfxQTLBXnS+ClzLb0JRPKN+mCmqymevm8kLW5p4ZlMTTqueG1ZNJK0K2BesI3Z8F73P/XfWiWLB5YgmB0p6pK+0mk4gjCJkUtKp4cT8zPGZDOl0hu113Xz55jlE4mksRi2PvFbPhEu8IxLmAGSVUedPlhVuPc+FvXkT0Re3opO0fHHeZYiCQDw18vh4SkEQVJq7Qlx9UQ2oKv3BBM9sOsFSi8T5U2cwvmw+4WgKj8OIq3cvgqkEy9KbCD//Q2R/O5q8EuzLbyOi0fHv1yzgJ48foL5lEI/DyC1ra1EtFnTuYizTl6Om4ggaCcnuQdDqs1Hus++bqEFNjTRlUzNJhFG2XdR0CmGUOUKRUeTRo1OqkqE8doivryujN6HFqhcoFPpQZSPuFbcS2r+BwJYnEPVGHIuuRMorht6R50mmZARBwjxpKebaRaiZNKLehCpoGAwmaekO8vnrZ5LKKGRkhZ8+vp//+sgUOi/4Fg+81EC3v4GKIju3rv0+elUddV3Kisq/XZRPWfvLKHvqmGC2M3vFdSjK6M9QMqMgSSOTfeMpFVmW+eL8GKlN30NJxlk7fiHnr1qNqILPZeD5LScZCCWYVpWHRavQOqDwxEEzH7vqLogHUU1O7n5tkDWLkuSNMucqwjnWpcpgcwO2iz6OGh1A1EgkdTZS/mbeabPTE5jDsnkLEVB4pxN694e5szpD5tReYlsfRolH0VbNxbzoGmS9a9R7ei5bvnRGoTTPxHdvX8BgOIHJqMVp0r2n1rCKqnKsNcCvXzhMMJJi7qR8PnRRDXaTxPHOMA+8cISegRjVxQ4+cukk8m1jvtX/KMiz6Pj0ldPoHowjaUTynUa0YzrUfxqMke0x/EtDqzWwbnExv3ppyFNY0ohUFb93+kBTtI2e5/8nFyFNdZ/E/8r9uC//DpMqXBw5OeQTXeA243OZefClozlrtMFwkp8+eQDv7fMp7mggenQ7AGoyxuBbj+J1+rBMWkLs+J5h/VomL806S4iaYeTaNnMFGpsbUW8aVsTGMuU8tA473QOnhvkQ15a7kGx5GCtmEj85JBXQWF24zHDxgnE8t3nIwtCg01DkteJu30nwtLWcmpIJbX0cXV4RS6YWs+Gd7mFjXTO3kJa+BKc6QzS2DUWMb7h4Ahq3wMDDn8McC2E+3Z6ZtASlZBLhp7+ac8eQ+9uIvHgPwrU/5tdPD/mX9wXi3PvoPr512wJ8xzYRObR5WN/5V34Jy7Tlw3y5QUDQ6jFUziC8b3jU2zL9IpLoR3h/62auxWozE7U4kSNDSZjG6tloHPnoC6tJdg5FW7XuIkRHAaE9L0PbA3hPtw8KIr5P/pLo/tdy0XAlEWXgjQfxrvs8lcUlwHBruSXTCkk27aX36buHtdvnX0pZ2fn8/ISf3UeGEiHXLSoiquq557FduSTFkx1BfvJcA1+/ZRbTqvKoOzFkbZjvMlGUZ0Q4spFUS112vqNBpC33YamewMULyrj/uSHJhigKTCp3k0iO/IhZOqOYcHM9iU0P5NrSDduwmexELKv5wcP7cg49dSf6+a2c4ePrp/D7zgjX/+TMuumlpsxJvtOIrno28ca9uXNpLE68xiSrF5YPi27rdRpK8y0caC7ntz8eWscAX/nQFObWmvnG9lPseVdh1S/dOBvF30Jkwy+GxnpiFzGDBdPiG5CVkWyowG2mssieW38A4wpsFLhNWTcdrYjRlXWzea9TpnqDSe55l5xn95Ee9FoNVyyr5O5H3iF1OojQ2B7gZ0/V8ZWb5mCQxhjdPwoMksg4j/nPHziGDxzGEiT/CSAIEIhl6OiLoJVEijxmTOewj/sg4G9NuJBIowl3ooT9iBYXsrWQjHDuLOFMJsmhJj+v7unCbdNy6aIyCj3292wLU9+5BzWdRmOyIMeCSNY8Yu3HaMq/CIukYk70kAn2IlqcyPYikuj5yi/eHnGef1s3hdmB14lOWE1rbxS9VkOZR4/uxFsYa+YjB7oJ79uAqqrYZq5AMDuRZQXJZEH2t6Omk0juIgSzg2R7A5IkETuxj7S/A1PNPNR0Al3VPNpkF5v3dXD01AAzJ3hZONkHyTA+q4AU9ZMJ9iCa7GjsPlpTVkQlTbHQT3qgM6ujdRayo0vL7DKJtrCe9t4wkiRS4rVSmG4mpbVxKqDhue1tpGWVSxcUMyFfi8lhJzbgRxhsg3QCwVVESF+AkwGkTJJI3UZSfW2YqmdjqJxNMBBE3f88xorpqOkkglZPvGk/ffM/zVfv2zFi/j551TRq6+/HOe8S5EggS5aVDEoqQcg7E2fkBOH9ryNodNhmX0yHrhSvVUIaaCb8ziuoqQSW6Rch59egszlIdrcQ3/cKhLvRTLwAsXQqTX6Z6Y4wkbpNpHpOYayciXH8HJTIIILJQfzY2yRaD6MvqsE8eSlqOkHPY98dMVbfh79P37sKzpyBY/GVKBMv5FBrgld2NKMRBVYtHEdtvogx1kVHCNpTdtKySrFNxVn3KOaJC2iJW3itUaV9MMP5NUYmZ47QUXwhd4+SDPutW2djNBrYcaiL/cf7GF/qYNmsYqr0A3Q9eBdnJ1N4r/4KPfpSGtojbNzdisWoZfWicqosMV6tT1FZZKerP4aKSkGemYPH+7iyfJBAVxvdxkpSsoBPG8Z6/GWapn+aex4fWTH0fz8xi2BGx/aDXdQ3DzClKo85E/OR0mEq7RnijXuIN+1Dl1+OZer5JNIp+nWlHD45yJb9HXicRlYtHEe+08T3H9pLc9dw+8KV80v50EU1NLQHeXHrSZIZmTULy5lYYoembRh0IoIooWZSaCwOBne/hGXFJ8hI1tEeefzRFJv3d3C4yc+kChfnzSgmz/J/70y1v8nPT56sG9YmigLf/Og8vn7/zhHHf/v2BRS7RuZE/K0YS5r718HYvc5iLEHyXwA9wSTfemBXzjKtxGvhzutnvq+2ef8oEAUFtWEz/W89kmuzL74GzaQVyOroHyCSpGfWxEJm1xaCkLXsfS+1glp3MeH9G4gc3JRrcy2/mTKPAV3jJoKbH+XMyBwzV6JMvex0eefh0hCrSUd/3mq+/us6kqejkeN8Zr501fno4l0MvP00eRfeCgj0b/wVrsXXorG6GXjxp6T7swlhglaPd90X0FldhHa9gBwPI9nchPa+gmPhFaA3sevtFg4cH6TIa2Hr/g5cBpXFM4pRT2ylZ+PvcuOxTFlG6ZzLUALtdD/337noub5kIgsuuJmGgIHv/W5oXRa4zXzm2umU04tn28/59zmrETQ6wrvuxbjqDginiL9+H6merP5X0GjxrrsT0eIkuOclVMBUPZdow04kmwdLfjVJTymDbz2aG5NtzhoMBgmLUTui+I/VpMM5/1J6n/txzpdZV1CF64Ib8KgB+rY8gaV2EUomxcCbD1NyySdJNh6j78Cr+G66F1WW6d/0IPpT+5Hmriex/VGcl9+JrAqkj21BF+lgkreA8K6NoDNim7uWyJEtSFYXuvJpxI9sRT9uEobZq8n4u4jV78A8+Tw0ZscIUo1Gg+TwjWjXWFzI+5+nrP0EX73hyyBA/1PfQhg3jc7yFdy74Sgdfe1AdofhKzd+lCrlJJZX7+Wa/AoozEOpP4qoN2KpWT1ireq1GsxGLd7urVxmT7H6uiVoeo5Cw06EOZci2fPIBIcXHhI1EqYdv2J6KsncGz6DJpNk8IE7kS6+kYqCKfzymUMMhLJr2W7Rcftlk4nbrPz0zQxNXdlz6SSRr111KxbDSELqsOox6CQ+8/MdLJ1eyGVLK9hztJtvP7CTez42gzdPqUQzs7lo7YWc6EuzdXs31y8poC+Q4pUdp1g2s4SegRiPbWjg1kunUOixjCDbXqeZ/mA2odLjNGLUSTzwwhHuvGEWlb4yApseInWmoqZGwnv5Z0mP4ml9Bm6zjiuXlrNuaQUi6vumPTaPYiFY4DahHUXOY9BpMP8LviPGMIa/B8aetA84BAGe3dw0zJu4rTdCQ1uA2dUji4T8s0EUBWRFRSMKKIqKNt5P/+ZHhx0T3PYEnvIZyEbfOc/zp16GWk02kpeW/7LtVq1eIJ3O/l06DUosOIxoAwxueYz8gkp6tj05rD2y7zW84+dy46pafvPHI9SUOfEH49jMOqoLDPziuaM5og3Q3B2lvj3KDM0AcnCA5EB2m10ODpIK9KKJDuaINoCaThLc+Ry2OauJNx/EcdMPSepcmI++SnDXCxiLpvPMtixZ6+zPuib8bsMpLhqvoWfz8NLrkUNvYZ4wj4FNjw6TqSTbjpEZ6ODFPX4kjcD1F1YQiWd4eUcrqCrxk/uRQ32owW4EjQ6iISKH3sI0cVGOaEM2STGw7QnsC64gdnw3APHT/x3Y9Ai+q79C374NuK/5Oganh/hADwNP/heli6/mptW1/OKZupz2ePG0QgpcRgKvPolosqOduhIx3Ev84EYywT7ipw4ih/oI7nwu13+i5RCGqllIR7fCYAeiJKEJ9GBdvJ6Mv4Vkez3hLX8Am5fUoY3EtHqcy67PJqsC0f0bsvPR0YjPV0Hg7WfO0soLmKpmYZ9/GQNvPpzTxBsrpkMqiWPROnqfuTsnVdF5y9B6StDaPUSbj6D0HEdVVDRKBkPldI62RukeiHDH2mocRokHNjTz3PY2/mNNEYZxUzHWzEFr9xGSE1inLyeil1gxr5QNu4YSOq9bUYNOpyGw5XFEoxW6W2CgDXmgA+usVdjnrWVw21OIhRMh4kfSG1AVBfOE+fg3PEDivtuyz4C7CK3DS1P9YI5oAwQjKeqbB9BWuYf5UKcyCk/sCnLjah8za7w5v2FRgHXLqkiLBq5aWsoTm1vZvL8TgI9cXIHbpuOhBw4ST2Z45LWhmV2zqIJHXjlAtz/OY68P6ULae8OsWlBG3fFeoonsb6bPbWJyhYvdx7rpGYjRMzAkrdq4u5XyycEhog0gZwhsewr7ZV8gw7mj1dnfFHVEkqIgCCgqaETe811Xk0GittzF0VNZaZpGFFi7pAK7ScfyOSW8sWfot+Cm1RNxW7T/MkmIYxjD3xNjZPsDjrSijrANg2xGvHiagP6zYiCa4rVdrTS2BVg0tZD5tfnokrFREvnUrDb5r9wtFZQUanc9kf0voYoSplmXoHqqUYXRHxutFk52x3llxyl6BmIsnl7EtCoP+vjI+6Omk6iJ6DArszNQ4mH6Bo1ctqSCLQc6KMm3sGR6EZl0hrb+kYmQvYEE+mlV2Fb+G9H9rwAqtpV3oHXmkT5NTt+N9EAXit5E6Mpf8MSbzXT0tbJgygxmXroCXdI/4viMrKCm4qijJGHK8ciwoii5a0hEmT7Oza1TY8iHfw9aI2tvXoPWbYQuA55LPkF4/+uoSgbXhTeTiQwijFJtNR3oQYlHRp4/HkZJJyi44VtEjmwj1HYMQ+lEfDd8C7XnJNPLy/jGrfPo9sewW/T43EbyNQN0TFzDoWQRW/Z14bIVsebSNbgyjaQD3SP79ndiqJmPa8m1BLb+ATWVxDZ9OYLOiJCIEL/shzy+u4fuxhQrpn+CqcbRx6qm4iip+ChJqSpyPEwgpqBZ82VSwT5EvZmMyYSSShDet4H8K79IOtCLKOkQjBYS7Q0ozlI6Z3+SX7zejkYUuHzRv2NNBrAaVB6+tYDwO0+iJqL8eNUFNGOlU7ZTsOAyQvs2EA28gblmPqI9n96eGGajls9eN4NILI3DqmfX4S7KfSbMM69hdyif3acS1BYuYtmkOGo6Sf9glMNTPscbdf2UeIysnmTBHO4k/M4G7PPWggqCKCLHQqT72mnt8YyYj1NdYapHcVlo74uQTMosn13CnEn5RONp8p0m2noiROJpFk3JpyDfhT+UwOs0Uu6EhL9nWKDhDGQFuv2xEe2ReJoZlU6+dut82nvDaESRUp8Fn8PIS283jzi+xx9BHuX5TQd6EDNJkEZWEv1TiKZk9hzrYcuBTqqK7aycV4b7PZSX9AXi+NxmZoz3kpEVJEnkmbdOMLncxfqlFcyt9REIJ/G5TRS4TGNEewxjeJ8wRrY/4NBpRM6fWcyjGxqGtU8sc/1TE+1oSua7v91DIJJ1i2juCtHeG+ZjF+ajsTiQI0Pb76LRgmRx8NfWuFJ7jxN+caiQRrDtCPb1d6G6q0c9vrUvwfce3J1LODvVGSK0NMX1M3wjkum0rkI0dg+S3TNsW17QGZFcxfQdC/Lazpbctb1T38t3bp/P+VM8PLFluLVcTYmNRKif0B/vybWl249hu/xLGAoqRozTXDOPVqWA7z+0Kxfda+4KMRBKcP3KCkyGRmKJIQLjcRoRbW607iLS/iFLOEHSITnyMVXPzkWez0ByFTBH7CP22s+GxtR6GNuV38CQV0Tv0z/KtSc7juNZ+6lsifCzYBo/F8nlG5HkqS8cj2Cy0f/8/+Ss9tJ9rSTbj5N3+RcQtvwK57EdnDHSEk02hOu/yZ5wAX94vR6Apo4gBxr7+NatcyiuCpDqGG4VZyyfihrsO510mH2Wkp2NuFffQb+9lm/cvz9XrfGXHUE+tLyMSwukEX7QWk8JGosTjdWFHB5KhhUNZkRbPi8f1PLKS2cijgnMxhB3f2waot1H91l6bsf6r9IUt/O9R4d0zYdODvKtm6cx1z1A7xM/yn1sJruaKFtxK3q0dD/9I9RU9mMp1dOMLRZk4vT1/Oypg7n1Clmpz3UXVnH/Zif7T2Sjy81d8M5JA9+tyWNLpIJntmd3H051hthT7+cHt07BVt41zIMdwHPF51hYm8fOI8PtU5ZNzcNlHnmvz5vqxWjS8f1H9hF9lwTogtnF2C1a/vO3B2jrGyLQE0ttfPaqyZT6+mntHiLEWknEqNcwf7KPbXWdw/rwuU3IMnitOrxWd649mcwwvdqT87w/g9m1BUjOkQlrpvFzyOjt8FdaID+/9SQbT0eXm7tC7D7aw3dvn49F/968in1u0wjN9tLphZh0GlChusAKBaPrzMcwhjH832GsXPsHHKoKPrcZRc2+/Ix6iQ+vmUhtmRNxlEjhPzIyqkpXIEFXfxS9XkL6E+Nv6YnkXlpn0NoTZun0QlxuF5mwHyUWRJtXjGPepSh6E7Lu3A4jRiWENtiCTo4iGMxoJC2xrQ8jB4dHbVVBg7FyFmlFpXMgjj+cxGiQkESB+tYAekHmS2vyuHSKnrm1+TyxpYMFcyaQV1FNsvMESiKKrqAK94pbUFJpTBVTSfd3IEcDaF0FuFfexoBq5ecvNKK8a+GmMwrTKp3MqrBSVOCmutTB9PEeVs4porbYSGzP88gDHWddlYC+qBp9/jhSXSdQZRlz7SIsExdyqFdk+8Gu4XPaFWLBpCLWLSlj5Yw8FtW6uXppKSsWVKCN+jHVzCbiHM+gby5S5Vx88y4kZCzCUVSCHA2QGehGY7bjvugW0q4KElsfQhmmOVYxlU8m2bSPVG/LsL6VRAzLjBXo7B6SXY2ocgZTzTzMNfOQVRlz1UySXU2oyRj6kok4Fq1HiYUI731l2HnkaADzhLkMvvnIsHY1nSQ+YRX3vXh8mAxHUVQqih2ML7Fjm38ZxsqZWKcuw7pgHZLZQfTotuESAkCJBsiUzeGlXcOJXFNXlAsW1eIsO32vk1H0heNxX3QLLWEDBXMuwDplCcbKGdjmrEGadjHNYR2/frlx2G9UOqMwqTKfXtmKc9E6+spXIU9eg23yEhRbPo9taqHr7KitANNNPcRPDk94zAT7MVbOINbWSGzaVUSK52H0FJM+sgn3pDlUVhTR2BEmEktTVWznjkuqUDIpHnq9edh5ookM06vy+M0rJ87y+FaYVOWjsDgfDTKpvjYEvRHnkqtJeydgHTiGvbCExvYIoiiwbnEJsw0teL0ufA6J+s4EGVlh2dQ8Vhb66ZXtbNo3fF5bu8MsmFzAs1uGO7D0B5PMnlzIgikFtPdG6A8myHeZ+ORV0xhnUyj0OQhG03T2R7FbdNy6djIT3WkEnRmNkkANdCCko2j0JlRELGYdVrOepvYAILBifimLpxbQn9TgLSkldWZdjp9DsmYFaZ39LyqhfgbBeIb7nj00LL00mZaZVp2H2/beeG1bDBLVpS6OnRogmZaZP9nH1cur0Wve35IaYyW8/3Uwdq+z+HPl2sci2/8EMOk0XH1+JasXlCGKIha95gMX1Q7F0zz+5gl2HMoSwAllTj566SRc5tEXr2aUl4dGFBAQ8L/5EOaa+ZjHzyET6GXgzYdxX/P1c/ZtTnTgf+nn2aitIGKdcRHG2WtBO4ruRGfEH0ny7FtNuQp7lUV2br9iClV5AnMSTYRfeIG0quC2e7n3+jsIqQI7Qz4qLvg0Dm2G9qiW9oiNKfYgaiyJefJSHAsuJxOPIMcjiAYBrTS8iiNkfZ8HMwY27GrkVFcIQYDls0so8pZi1ptGRO5FvZ60v4NE80E8l38WQRCJtx/D/+bDaKZ9esSlaSUNoihQf6qPnz7XQCIlYzZqufOqidR6jRzvU/nRBplQNI5OErnj0hLGj1P56P2n+N4tH6Jg4TpUjZb7twRZrJUp0I0kEBogox3ZLuj0qILEG4NF1Cy7E5NWZXObwtRgnBK3lnS8D+fiKxH1JtKD3aBkEDSj/3wJogY0mlwSZK5vEXSjuPRoNSKCRsL/yi9Jtmd3iEw1c7EtvhpxlGsQJD3qKPXA9FoNGVnmqRNmrrnyS5CMI5jt3PnAcb5xiw+l7xj+V+5DScYQdAbcF32EfO8UJElEPst7XNKIOEvKuPvpg7T2hBEEuGhuKZctKcCkG2UHQKfJXuBZELU6FFHHTt/VPPZKD7KSxOPM53MXfhyfAPkbv8Z/XHArCUMR5tBJ5D/+B8r6H4xaBVcjiegkcYQHvSgKfPPZHlbNXsGCD12EgsjvdkSZbhSZ5fWwPLid2csLQBCxRbdh9c1DVBNMOnYf31l8IbLWjKH1ZcT6COK8ySOuQZJEhHOQWo1GxGvV89lrpxOKpjHqNVknJjVG4cA73DrNxPols9GrKZwDdWiTRaQ1IuHX70Puymq5dROWYJh/FRadjTXzipk3KR9VgTy7FiUDB3tEfvGWjn9b/nksOpWXjid5+9kuvnNb2ahjOhdEMTte5az504jvHREWEJhc5uS/7lhAOqNgMUijOO2PYQxjeL8xRrb/WaCS24r8oBFtgGOtgRzRBqhvGWRrXSfrl1aQGaXATIHbRHmhjVOdQ64Cly+txGk3Ex8/l+jRbbl2Q9VsFEt+7v/fTSR0okxo5/ND8ghVIbzvNfQltRhnrCTVtGdIA66RMNYs4HBbIEe0IStHeGNPKzfP1dH/rgS7TLCXxNuPkz7v3/nfxw8gCAJmo5ZwLIXDoueXt1XTt+F+lHgU0WhBSUSzZP+Wn3DJ4nKefGNI1uB1GvG6TLy4rZlTp50UVBU27mljUkUe88bPJnZ0y5DUQtRgqZhBTOsktfVxep/6IYJGQknG0K38DCV5FvJdJvzBBEa9hnAszeXnVZLnkPjSz46hqGAz6wjHUtzz5DHuvmMmP362jkg8RaHHTP9gnJ8+e4y7Pz6XKy+o4hM/reOSxeM4fKKTUCzD+mXlWKdeMMy7WtDq0ZgsmGvmEj745hAZFkSs0y+kK5jitxtasFt0OK16mrvCLJri5VNLYHDDb4bdf62rgLx1d2KsmE785IFcu7F6NoLdg23mSkJ7Xho6Pq8Yt17myvMr+cUzh5k4zklfIE4qrVBRZCNW/yLJ9gZEiwuUDLGG3RhLJ2OsmEZo7yvvkgAJ2GavIqWmcFj1qKqK22bgZGeI65cW4DDCvoZ+nn5rKNFz9cJxmJP99LxyH2oqgWi0oiSi+F/9FfnXfZ2rFvp45K2h9VToNlJRaOM3Lzfk8jFUFTbsamVShZtVc4vYfmSoiqSkEVg6LWBy0qQAACAASURBVB+d3oCgMyDqTIgGM+n+Nmxz19IcM/D7LUOa9L7BOA/t0vGlai9aVwHJjf+DgawiwjxlGRqbgRUzPLy2b0jeVFtipcwmc915hfz6tSEZk8ehp8wuc/l5Fdz9+3385Mx90EtcNK+MdFcH0bo30WoNIEAslUDn8GCYMB81k0J850nE030713yCuNOEz20apre+bGklFqOWyRVuDp8cyimYN8mH3Xy6GqMgkGfV5Z5rRaMn1rCLRPMhTAYLajpJQE7jveG7xI9szhFtgFT9VrRlUxHL5iDL4DRmHT2U08tzXL6VYCTFVx4duqf/fu0MdBrhz+6aSpJAJpM9yGbQsv78qmEJmyX5Fgrz3ltfZVVVMUgiBmmsQPQYxvCPgjGf7TH83aHVavjVi0dH6CUriuzcddMshHPcvnAiw9HmQZq7Q0ytdFNRYEMviegyYdSeBlIdDWgLqhELJpCSbGQUlba+KCc6gngdRiqL7Xg0Ifp//zWUxPDENsfSa1FrV8JAC4kT74BGg6FyFlLeOB7ecDynpz6Dwjwz37x6HPHHvjRinD2r72HfiQAOm4FgOInbbuB4W4BPLdSQPLwJnW8cmfAgktlOJtTP4MR1NLUPYjPrOXBigKI8I+OLbYh6Mz94ZO8IS8DLz6tkrfUgOoOZ9EAnoKJ1FZLoOsWx4kupsUTQDzahJmLgq+apwwJVlXlMzhNRuhuRQ31oC6pJ2UsJZzTs3tPAPG8EfayHuLmQTa06LphTxqnWXhZ4oyj+FkS7j1Y1n5hgJt/nomcwQWNrAKdVT3WJA482Tmb7QxjLJpPqa0XU6ZFsHjKRAINVayhSO4idPICaSWOqmkmf6ENvtdE7GOVkZ4RwPMX4EgfHWwa4tLCbgVd+OWJevZd/Fo0tj2TXCVJdTegLqtD6KiGTRJD0pP3tJFqPoM0rRl8ykUx/B4qjCCkdIdl5HI3Rhq6gCtHhJbDpESzj55LqbUHQSGjzioi1HMGx5FoyPU3ET9ahpBKYqmaQVkGIBJHyCkl3n0SOBtEXVpGIhDEXVtCetHDwZJCWnjCTK1xMLDThiJ4kduxtdN5SMuEBJIuT9GAPxorpJGwlNPZm2H9igGKPmekVDhSdia/dv5NgZPh+xdXLq1lTHqWLfHY3+NGIMKcmD0+8CaV0JpZQC8nORpRUAkPReNL2ErY2RIYVnDmDH31qMepAG55EM3JfC1JBDQ1JLw63E/NAAyeFUg63hKkqMDPBFiZPm6Cvo5NW13zqTgXwOY1M9kFhqpku1ywCUZl36nuwmnRMH++hotBGfMPP6HPPpDFsQgGqbXE83TtxXfZZMp3HSTQfRIkGMVbOQPWUs60hjtmko6MvTFd/lNpyN/5gnHGFNkqsKvXtEY63h6gts1NVYGIgqcPjMNDWF6WpI5gtKFNow6WJEXrlfzHXzCMT9iPqTaCqSOWzCG74Jem+4RI03eQLMS+9adQPe4DBaIqDTX76AnFm1Xgp9ZjR/AkJyWA8Q0tXiNaeMCX5VsYVWHEataRkhZNdYepO9FOab2Vyueuf0qJ1zHv5Xwdj9zqLMZ/tMfzDI52WqS52jCDbE8Y5kUQ4R6VrrAaJ+RM9LJzkRZaHGHlKskLRbKTSOWROtwsC7DzWy2/+eCR3XHWJgzuvmYq2eALJE3uHnVt1FqMoAjjGYZpfgapmyzCnUjLjCmzccPEEvC5T7uV8rGUQs5AiftYYdb5y3E4zrT1tvPougr5qQRmSzUZKb2TwXZZ6xvKpeKwiefomAhseosSRj9IeRHPCiXXtFxhf6qI/MFzTWuy1IGUMDLz5EBprtoS0fOANHEuvpcaRJvXSf5OIndkBEFh98WdR7AKJV/8HxX86uRAQFt2MfcJ5LMtsRX07W43SBFwyeQXWvEl4298k+PKLuX69JbUYl9/GzpYQv3j6YK7d5zbxuetm4jbbGHjzISS7BzWTRo4GcK/8KIV00fP03RirZyJoDfQ8/SPy13+R9qiOex87OMwq7nPXzUBrHakHlOweNFYX3b//JvqiGmzz1xLY/izpTY/gu+m79D75A2RBJO+CGwgf2c7gW4+S/6HvQrCL3heHkjY1Vjeeyz+LZeJCep+5JxfOFHRG8td9nkzfKXqfuQeNLQ9RZyRc9wbe9Xei8RTR98JPyASHkv/yVt+BYLZhev3HzBrsYYGnlMTmBkxzVqGpmQ+iOPxeV83MJsm27sO3+Q+sdeQjtwcRm/KwXfE1xpc42XNseM6Az21Gr41jeuqLXGCyASpKfRTj+i8ghFvpfeYelNPuGUFBxHvF5yh0lo6Yv4pCG1aTlo//tAWbWU9ZwWwadgaQNN3cfXs+ulMnKTv0WyptHuT2QfSFVUjnXUtjv5OfP3mYfJeZHbEe3jJrueuqGopTpzC8eA/XzlhBJtJP8sUGhOu+gb96Ld989DjJVHb9aSWRb19/BWIgwp0PdpDvLMHrGs+2Bzr56g0+8vOMfOP+XbjtBoq9Fu577hBeh5HLplkIb/091afqmGB1I7f0Y6hdTNXCq3jhnU7+sGEoWjylys2n103CPHEhA288+K4148U1fj5C0WQ4i2xLBVXnJNoATrOOZdMKsrZ9fyZ4k1LhhS1Nw3a/Fk8r5EMX16DXiEwotjOpzIGiqP/U+URjGMMYhjC2zzSGvxgKEE8rI3xjzwVRVNHLYXTqSMu4szGpwsXkyiF3gGKvhWUzis9JtM8gLoM/kuZsYaICRBJybqyRhMyjr9UPO6axLUBrfxx/+cocSQUQqhfTrgxZlmUyCvK79NNVxQ4ONfm599F9/O8TB3h843EumFWMYrRjmXHR0PWbbDiW3Ug4Lud8b89gw65Wkil5ROnw+KmD6JNBQtufAlUhM9iFkoyR9ncg9DdxyaJxeJ1DWvK5k/Kp8JmRLHZca/4N71X/gfeqL+NacweSzY0x2JwrZ56FilD3AvZEd45o5677nadwZ7pQm4eXfVcPv44p1j0iGTHZdhRtqIvHznLC6fbHaOsNY56wEMlZQCbYhxwNYCifiq6giljjHtR0gtjRt4nWZeUk4QMbiSXkYUQb4Ik3GlEkA/aF6xAmnI8y93o0ZdNwLb8JVQXXhTeTaK+n94nvkeo+gevCm1EEEfeKjyAkwvQ/92OSJ/biWHQlGqOJwPanh51fDvvJ9LURrts4pBsga9eXCQ8SP3UoO/99rSQ7GkCRCe99FQRpGNEGGNz6JMQjJPs78VzySZxLriZv1ccI7n4R5AzRI9uH3+sT+1Azqaz/9ul7rZ7uS5sKcMWySvIcQ5rxhVMKmF7lIHJoM6qcRg77kcMDqOkksYbdpPvac0Q7exEKwV1/pNQlsHzOEOG2mrSsmF+GlI5y+5pqQrE0dY39qKrKZ9ZNwGnIEK7bBHImO6Z0gkTLYeRkgofe6kJRocsfJRpP094foyUsEd71wmkJ1qvEj+9FiYdR+9vY1hgblpCazii8fiRMZ3+MQDhJQ+sgWw90oqrwyMZT+CwilywqZ1KFm8piB7VlTtYuqUAI9xBv3IOaSWXHJKeJHHoLIdTFk28MT2A9dMJPR388O+/vQibYS6K3HdOUC9C4inLtUtk0pMIJAIiiSDwtE0nJSGfJMFT1L5PodQ/EhhFtgG11nXT7hz7FZXkk0RYEgXhaIa2o/MPktgsC4aRM6q90XRnDGMYwHGOR7TH8RegLJ3nolfpcqeQbVtacM3kRQJ8JkjjwMqGDm9BYXDguuJl0Xg3KOb7vHEYtH79iCt0DcWRVpcBlwqQ997egVityvDPMwy8fo703zMwaL+svqMZj0eGPpHjktXoON/mZWO7iposnopXEnE3bu5FMy/xqQz8rp9xKmSWOLOjYdCJDTb9CYcHofTd1BKhrHNKz9gzE2LCrhZsvHo9u9no8NQtQEhFERwEpo4d0x8gtNllRySSTo3iCg6rKWV/ms9szKcrVZr78oSl0BWT0WpF8KYTPnESWSkk219Hz5ncAFfucS5AqpiO3jJQPqPEwYjI0ol1JxlHTI32/Qc1qlkf4RIOSSQ6zaTuDVFphcMvj2BdchiBqEESJdKAbJRFGiY2cDyUeRhxFLxSJpcmk4pzynMeD7xynvTfKgskXc5ngpSjWReTo23gu+zRqMoagNxHa8zJ2s4PIsR34rr6LTKgfjdlGKtifLc2eGMWzO51AGcVDXNAZh5PX05Dj4Wy1lbPPk4iCqpB/6acYfOsRUn3tGCumUnD91097NY+8PiUeRk0nR7SDgm3Lj7jrQ5+jM5jBoNOQr/ZhjHQQGmX+5FhwdM/2RARBztDRF+b6lTXIskoqo/Doa/XMuG06pSUebl2rJxTNatAdLhtqqHXUdZlOJoklRvaRTsujzqsA9AVHXps/lEQdJW0vHE+jqAplBTb+uO0kbx/sYv5kH4lkBiUz2hypqOnUiERigFQ6k70fZyGTTqExerBe8RUyA10IGgmNw4csGkjKKnuPdvH0mydIZ2TWLK5gydQCzLrRK8+eC8lzMNNztUPWynTDnlY27GzFbtFxyyWTGF9kRfg7pjcOxtI8u7mJnYe78blN3LR6IlWFVv7iaMsYxjCGHMbI9hj+LGJpme89tJdAOPvCO3C8j+7+KN/4yFz0oyThiKJKsu5VIvuyJd0ygW76n/khng99h4S5+Jz9GCSRcV7zX6QBa/fH+eHDe3MvsN1HewjHUnzqymn88Pfv0DeYJauHm/x876E9/OcdC1k8rZCtB4YkGEa9RInXwrJZJTy8cWgbWhQFVi2dMGq/kiSOKPUM0NAySDIDWsFA2lYBttP/IIPPZcJu0Q3T306pdCPavWh8lcjdTbl2weIiY3BinrSY6Lui3oKkQ8orIePvwKdP4Qq2IuoMaOxeUkEVNdzO4OY/5I4f3PIYeWYHuqIqsrRniOhZp56P1l2EoNUPI3rm2kWoFhei1Y0SHkpE0+RXoLHloy+ZOCzhUTTZ0LmLWT7Hxis7hiQykkak2GvBol2C/+XhWmvv+i9iPCuBFcA0eRmiKI4oxHTR3BK6JA//9ZtdOReMrXVdBKMpvrSuAjkyQN+zQ17oWncRksOHmojR9cjXhsaqN+G55R6sUy8guOuFoY5FDTpvCYJWT7J5SGIEIAgqxvLphPe/PqzdMvV8lEwGRGlYNNw67XwUjUTvs/fmCgDFT+xDiQZxXfIJtJ6SYVphye5BcvgwTZhH7NiOoX61BkSNhKVyJsE/fIIzT4wsiKhXfRXL5CUkmodkOwDmCfMRdEbOvteWaecTVrWcbA9S3zyYa189t5D/x955B9ZxlWn/NzO39yLpSldWL5ZkWW5y747jkjiJY6cSAqQRQmBpAQJhyQLLsoSyEFggfCwtCQmQ3hMnsR3HJY57ly3Zkqxebu9l5vvj2pJvrhxiFjbZRc9f9tHcmTPnzJ37nvc87/PojAa+/cC2rMVSaaGZr904Ba27hnjPaIGuZLKhcRSyZLomS3JToxLJsxsxNi3Dt/HBc0cPRWNgfpOLHYeyDYOWTJ+AVlQQBTg3UXzpLDcRWcMDT749EkC/ub+HaDzFikmlGc5/YHSRq84vRbK6mD4xPeI4CZnMfVGBBXXTCuK7z51rFZKjJDOWkhEhvzrz7zN/busJ8F/PjD4Df3r1OBaDhgWNBRdk/lLoNFCcb6J7cHQBUpRnpDBvbAMcQRTYuKeLZ7dkpA0HvFG+++Au/vX2ubjtF+jE9TeCAjy64fgIjalrIMR9D+7iG7fNpcj2t5EpHMc4/pEwrrM9jr+IHk80pyAwFE0yp7EIy5nK/XOhSYXxv/LLrEAEQFc8Edl6/mD7LN6LbueJLj/bDmbrRA/5YsyeXMTzb2br8cYSaWY2uGieWIBep2bIF6WhwsEn103GadLgchiwW3QMeqMU55u4fW0j5YWmsRKRyLJCPK0wwaxw7VSJZbUqakqdmGw2miodYz5rGklkTkMeoUiSaCLNsmlurl1WRZcvRTqvhgnT5qIrrcfcdBHhisUc96ooKS9BpTeQCnrQFlbgWHErgsVFYPNDaCfUIqg1SFoD6WgQY3UTvjcfI+XNDmqUdBJL82pSpbMYKFmGv3wp1ubVqL0dtKprKZs8lXTIi6LImJuWItUt5mTYhLlmOnmNs9CXNWKesQqvayZdMSOlEzNmPulIAF1pA86LPoqs0ZFXkI/JoGHIH6W8yMLHr5xMlcGPxlGCt2EdnUXLCNdegmneeizqBG8P6qma1EDK14+kN2FbeA0H4m4mWmNcu6iYdfUK6xolrltaTkmxndbeGNfNsfHRZhXr6hWuXTSBgaiIwWJnQkMjcjKOHA9jqJ6OffF1nPCIFE2sRxSlDH2leCKOFTcj6fWobC4ko5V0YBi1sxjniptJO6rxpdTYi0tJ+QZQmR3Yl95Ij7qU7oiW0oZMX0WtHuvc9fTpKtBbDFirppIKDCEIAubpKzHWzyU10IFx0kLMjQvRl0/GMvNSZElC0pkxTpwFcpp0NIi+cgr2pR/mYNCAs6gMnV5PKuRFW1SF4+KbOei34nK70FgcpANDqB1FOC6+GcFdi+LrR18xOTN+JhuOJR8CQUQy2jBUTiXpG0BQa7HNvQKtu5YTAR0XTytgOBBDRuCy2W7mNjgJplS8+A7XRH8oQXN9AUWTpjFQsZrTRUsRmi4hf9piwrKWkwMxKott+MNxKtxW1iyoRBDAk9JRXD6BtH8Qla0Ay9KPssvvxGox0FiVR58ngtmg4UMrJ2LUq/GFk6xodtPvjSFJItcuKcdh1hKMptn6ju9171CY6U1llDRNx1A1A11ZA5ZpKzA0LuSQR8+8xkLUKhFPIEZTdR6fWNuE3aBGcrgRDRYIDiDml2O++OOQVwpKbrZYrZZ4ftsp2nuzF/nBSIJFU4u5EB0BrSTSWJ1HPCkTjiaZUVfAjavrcJ5HgzeWlPnl04dzdt6qJ9iYkP+3VSp5r/BGEvzuhaNZbbICE8vsFDv/smvmuPbyPw7G5zqDcZ3tcfy3oR/D3UwUQH+e7VVFVKEyO84oY4xC0L77S1qSQBsdJN47iFrrJJk+P43EoMsN8vVaFXq1lJMxO/s3k1bF5fNKWTGzBI0kAhnepFmnYmVzCYumuFFLQobo8i6ZrJnFCsHDT5E+keGK2g0WFqy9e6QYM6evBBFbX+F6oY10UymqvpexDa1CzmvGFj7NwJ9/zdnI3jJvPSXlSxGjfhJ+D9blt5IODRM+8DqWeWuxL7yGwWfvH7EF1xbXoq+bg8pWkHNdlbWAIX+cH7/Yw6H2TDbepFdz7w3zKNIkCB3YnHFotDoJHtqKPuanyO5Ac3wP/VsfO3MWAdeKmzGUuHjusERh4UqmTVtNX0TFE7s8fGShhP7Ze7hy/nqWTJ+JVkwR+8PnEZbfTKuhkfse2jmS0a90W/jElU1MLugn9OarmCYtBEkieHAzkxbeiFqjxvva74idob4IWgOuKz/PrBI78b2vMrD/9UyXRBVXXv4pghYtsdajaCfUY5m+glj/KWLdx6mYOB/59EGSvn5s89aSGOwmcmQr5uZLIBok5R/GueZO5HiEwP4N2Oc7CIdjSCcP4lh1G8gy3h3Po0xx0+VT+MnmCJ+94jb0aoH7Xu6mOC/EHXPC9D/3c4puyGTPY+0HGXzmfvLWfp7wgY0Ed5/htwsieZfegWDJ4/rv7uKHd6zHPftyPAkt1/74be69dTaf+X0702saWbtsASc8KX76y1Y+d10eLX49L7SUcO3iz+GNKryyZYiPrZHRtx8g1n0cx6LrQFHwbHoYQ+1MRJ0R394NWGZegqjWEdjzCqLBSixl4ft/2svtl9dTYFPz/K4BNvypha9+rDn3mZFEbCYNW9uj/OLJAyPfo/VLKlk5o5BtB3qRJIHJVXl4AjF+/cwh7r5xBs/sC/K7gIXr591OIK7w4CNdXLeiEF/nAC/t6uPG1fWIosBDLx6judrG/AYr+t0P8imXAbnUjHTiaSIzbyKgK8zpk8WowayTiLTuJfDmn0aeS9tFHyWvaB5mnYp1Cyu5dG45GpUAyhlpT60Vw/TLSDcsRVBpSCvSeR0f02mFfHvu+6nArs+8T8b+2JgQBRm3522uNx4nuXIa6p4dGIcGUCwLxqTRqSQRp1VPIJwdsJje5Yf77w2NSsJi1OSo4RjHeO+OYxzj+MsYz2yP4y9Cr1Eho3D89Kgb4FUX1dBUkSkqFEXQaNQIQibzmxZUGAsnEDm6jbNBpLqgAt3UVaRF7ZjX0KUDpA+/gufFnxPYuwFVIojeNYGUNHaArtFJDHii9A6P8jJvXF1HY4UVUZKyChIvW1DJtGongpDRxR1LsktRFJx2A2qVSHIMbve5UHXuJHLg9dHPJuOIyTD6qmmkZRGVSkStlkaKKtX+DoZf+S+U4CAMtCJH/EQ7j1LYOIPh536StQMQP30MV+NMPBv+i2T/SWR/H/GT+4h3HcM0cTaB3S+S9A1gm381amcxkeM70eaXoJswkciJ3ajzipFMdpRkEvvia9nfneTpbaPFWomUTCCSYmGNAf9rv0FX3ogmv4zwka3Ejr+FvbyOoRcfwNy8BufKW0gnIgR3vUheQzP//lgbJ3vDoLfyyu5etuzv4fL5pRgKigge3Iy7aRYq/2mSvScxTF3BH97o4cQ5z4w3GKe0yEy5Pkh451M4L74FdX4pvo2Po9EIiJIqSxubdJKkfwBzzQyGX3zgnMmSiXcdI69+OoPP3E+sbTehg5uIndxPrOMIlokzGHrhFyQHO4m27SXR20qi7yTm5jV4Xv0N0bbdhA9uInJkKylPL7qSelS9B4kdeYPwwc2ED71B2teLraQCq8POG0d8vLhrgA37hojG09x2kYt8h5l450H8Wx8jtHcDsfaDOFfegpBO4nn1t0hmB5qCUuR4hNipA5jr55BQW9l+dAiny8Xz27upKrExqyGfAoeJxze18fLeId465qG+3MHKWaX84eUWjrYPk5J0HOoIsrtlkOoJNqoqigjvf43w4S1EWnYgCALWBdciBwYJ7nqByPGdhI9uI+XrB0mFs2EGRzpDvPhWFxv39dM9GMrs3jgEhsMywUiSymIrkXiKtYsqcOeb+MEj+7PMa462e5k1eQKTS41s2N3DqZ4AfcMR6krMrJ7hpNidx0vbO9h61Mue1owE5GULKym2q3llVy+b9nSz9UAvaVnhplXVFMRPE9v1DIq3CwZPIkdDGOQgjurJtPeH6feNBnm3ryymwZZg+Pn/5NztpnjnYVxNs0mqM/bjY32vZVlBEdVjmhCdC0VRsFp0vH20f4SaptNI3Lxm0gVbqWviQ3ie+gHy4Ck4+RbyYDux9gOYG+aRVuVmqkUByt1WtuzvGfmtKnGZziwe3h8NA51aIt9hZOeRUTWcujI7y5snvKc+jWc7/3EwPtcZjGe2x/HfhijAmnkVTKstwBOIkWfT4z6zlRiIpdjfOsSuowNUFluYN9lNvllD0llD/oe+RdrTjaA1IDhKiass572G0n8c/zlKEcH9ryHZ8hHrV4+pAGDRqPjwqoksnl5MIJzEZddTkq8jlYSLm0uYVOFkyBfFYdFRnGd8V+t6ozxMqreN4Q3bkEw2TI0LSTqrSSRyr6tWSySHe3LakwMdqOQ4HX6RN/b10DMUYn6Tm0lldrRhf+79xiMoEf8YxXEKcthLorCRNvMMtrQlKC9QMbcpipxOoq+ajqluHqEjbyLqLbiu/SrxgAd5uIf8yz5F6OAmUMC+8FqS/iF6/bmZwtbeMDFFRdEN3yB0dBvetr2YJ81HXVhF2j9A7PpfsOXYAC1P9dNUfQlTr7kROXKS73+4DKPnONFTD7KoshJpeTMkQgzYmzheVcq2P7RQ6DSwcPGXMOi0tPeezLn26f4gmqkVuK6+G++WRyGdomDdnQhmF4lTu3PHdfD0mIV/6ZAPJR7JLdqUU8jhwDsUWM4gESEx1JnTnA55SYX6c9qFQB+W4Q6+utBNl1JIWhEoVgewHXwUYcXN5K3+BMnhLuREFLXdTcw/jDqZID7/4+watnCsP8WcBjV16RbkWJh5U0rZd3yQP756nPpyBzPqXPiDCfQqmX++eRY9Q2HMBg1uhw5vOMHUChN3zpKRW55HKXBw2/yF7BpKk9ZayLv6q6SGOhEEATGvjBQiqeGu3FvuO0me7OPTl1dxaihFKJai2KmnJNqCxqPn1mY1yRI/6e7tqKfNQDQM0R6yEY2ncs41HIgx0y3xnVum0j0UwaRTUeHSo/ed4tApG/feOpvO/hAalUiJy8SREwMsay7lO7c0caovjKIoVBSasDuspA8N5Zw/NXAKW3yQj5V10DepjmBSolAXx37iUdL5l+UUbSrpJEo0AHp37lz/FSgwa/naTbNo7w2SlmXKCi0U2XQX7NOgREM5FDrkNEosCLrcHSiA8gIj3/nEPLoGQ+g0EqUu8wUXZv4tIcsKUyud3HvLbHqGwpj0asqLzBe88BjHOMaRwfg3ZxzvCRpJoMJlosKVLdr+1JaTbNqd+ZE/2DbEjkN9fPWjMzFrJWLGYjAWj3W6LKjVYk7BF0Ck5S2sk5YTk3MfU206gPbZf6XcN1oYpZm2EmnWtSCKlOUbKXsPfEeNBhIth/Bs+M1IW/jYdlxX303CVJFzfDKZRuuuIbj3lax2fdV0ukJq/u23OwidKTg7cGKI6y6uZd2k4pxiOpU1H8mSj2Sykw6NFq4JKg0qawE7VEb++HImI72/FTaZNPzw01PRhrwMPvfT0TE6th3XNV9BjoXo//N3OZv5C7e8RcHaz1JdmLszMG9SPiarmYHf/SvpMwuBWMchrLPWEKi/gp8/un+kCPRg2xBH2wv4xBUTUW39Dd6j20aOVx1/m4Kbv89bm9tH5P/2n8gUtX3tplnMqCugayBbpaKuzIEwcIr+x+4bCZ4iJ3ZRcOUXUDtzgyZ95TRQaXln4Z+moAzRZEfQGjJB9xmIOhOSNR913gSSQ+cEn4II9BgYZAAAIABJREFUOjv6yqlEju3IuobaXoghESNxfG92u6MYVGrUz/2Uc58E3fz1KLJC7++/mt3X6hkk5tzAfzx/jF5P5rk80AbLp9Vwi7mAh584xv4TmSDzUNswe44N8NnrpvDMttO0dWUvyH7x5SUscAwQeWm0wFQ4toW56/+FNo/Evb8dLV4UhBa+ddNUKouqc8bPUNNMWmtE+NM9lJ+jrCLOvhyNez6BZ+4fcU+NdxzCUN1MyaJ68my6LPMktUrE7dSTPP4y+m1PcvZKcb0Z2/ovgSDzzw9sP/fSfOWjzciygtFkpbHaOlL4nEyC5CzJ6aumejboTUgHn6OYUdk+dVE1Kmseglo3UngKmQJd0ezMOc9/B06jBmf16Dn/GkM0weRA1JmyFFpErQHBeP6+KgrkW7TkW8be+Xs/IAq85/foOMYxjnfHOI3kA4p4SsYbSiAIAhrV/1yGQ6USGQ4l8AQTaNQqVO/ikjYYjPPrZw5n1RGGo0kaq/LIt15IxbqCFOonGYsRnbyWZEkzOklGa8tDKGvO4V8DSJ5ThPe+nNWW6D+FedJCUqq/XMBzFvqUF+8r/4V8TsCGnEZTUIbsqEArJtGGe1AngwhaI2lFRGvQo1KrifeeBEVGXz0d84zV7OtOsvVAdnFXW7ef+XPqKKiuw1DTjHHiLAy1MzFNXoKcSmKoaCLefRw5HkEy2nCuupWkqOW+p7tJn3Pj8USa6+fl4X/99xhWf4Zo41qkplUYrFZEOUn01H6Sg9lFrAgS9gIXJpuVY10ZJ9UZtU4urwhjs1sI7Hj6HePXTnfxMp7fml1g2jscZkZ9Eaotv8xql2Mh/LWX8PPHD2RRDpIpmYmldpqq8/AF4/QMhVFJAmsWVHLJvDLCu54l0Zed9ZbVVvQTqlHZCjIqGHIabUk9tnlXMpTU4ygpI3b6KEoqmbFev/gW2uM2impqMVQ3Y6ydhbFuDsaGBSiKgqGyiUjdGrw1lyE1rcTdMA0k0BVVkxzuIR0cQlBpsC+4GpW7DrU1DyUZzwToooR5+ir09XOID/djnb0Gc9NSTJMXYZq2gnTYj9pdi8ZZiMZVgb5sElp3LeYpy2gN6Hh+e7ZhSnt/hKmTy3jk5eNZ7d5gnKm1BcxpLKS1y4c/lMCoU3HrFY1U2iH62i+zJfXkNFJ+KW/1aTjcnh2cW4waGswBVFYn8YGOzHNZMQWtqwyN2Um8pw15ySdI1F6EcUINkd3Poy+dRHD3S1nnSXp6cNQ3U1VVwtHOAOFoEptJy51XTqLG4MG34TdZuwlKKoFuwkRcVXUMB2N0D4ZRSSLXLK9halXeCLXDG04SiiVRiRkxu5MeBYPFijDYmrmv0iZOuZZiLizBUlBI/PRRlHQSdX4pzotvJqkImMoaiHUfQ0nEUFnyca68lbTKMCY14/2ELOkwV9QT7ziIkogimR04L/sMifeQePi/gnFqwT8Oxuc6g3Eayf9C9Plj/OjRvQx4o5gNaj511RRq3OenYPytICOz/egQv33uCNF4igkFJj65fgqF1vNlW/42GrCyDHLZHF7qLuGFlwaQ5RRz65fwkQXliOejT5+PFnLBXVLO8yEBQ2KA4I4nMplQQcQ0eTGGGZchCklURVUUXnM3iiIjJzJ62aKYy2XMdFMkHY/g2fBr5GgIlTUfx+pPIEgq2tMuUvM+jUOKEJT1eBQT5UKuZvFZyCvu4qcvnWRvawcqSWD9wipWlNtRTh/LOVZBwKhXscJxkqkrVKQFLfZUO5b8Ws7nZ3Xe4TvfH5Tz/8my6T5uu+werlhchSQKFNnVqKK59IHM+UMk+k+RjIVxXXsPipxCSacYfPpntM39Evtbndx29T2QjBBXW/nMg6184fpCSCXwvPY70mEfksmG8+KbETQ6TsSL+dkTB+kdCmPUqbhpzSRmm0T601aUmTdROD9EWlBzPGqmLCWRVky8oV1Gwax5yAoEMLBUMKIvLCV8aDPBva9mAtiq6djmrwNZRolFCLz1LEoqgcZdjWR1IGibxh6m81TYCQIYX7iHu6+5l8GYhFEjYjv2BLB2zEEXzjMVggCp4BDRjiPY5lwBgki85wShw2+irpjBgfIP8etHThFPpKkoMvHpS+8BzjMXioLj5X/mKys+TkBVglEJo9txH+Lym85z9cy3qKTATKXbiqKcKaRTFKJJmWe2trPhrQ4UYPG0CVy9pIr+kMJv9uVx2ZTPoFMp7OxMcXKrh2/U1ZCuWEB+YQ1KIgKmPMIY0QTa8Wx8CPviDyFIauRUnKEXf4lj3ZfHvof3EYoCcWsFtmu/hRAPomjNxCXjBSmajGMc4/i/hfFg+wOGWErmh4/sGdnCDUaSfO/hPdx353xshr9vJXiPJ55lu901EOL/PX2QL3+4Gc0YsVm+VcOSGSW8vms0k+dyGCgpMOUe/BdwZACee3uUN7v9qIfqsgIumm4fcytXsLlR2QpJ+fo4SzEwTV9JUmsfU7LvfEhoHVhmXZpFIxHUOjTFtcRO7hmlHCgyoQMb0RZWImuNDD97f9Z5LDMvpaB8DWaDmmBklGN8ybxynOl+Bp772QiNJOUfxPPCL9BceS/f/dN+vMFR3rZGJfKDT0xn3bw4j2wepUHYTFoErZWX32hhb2uGdpJKK/xxUyc1xRZKqhfA4S2M3ryAXLuIdMSHb+ODnF1vxwB1YjnG+eVIRhvpsI+MKHgAy4xVCHkGKt0WTvaMcp5n1BVQ7NQiNMwjfGTryHirHUXk5em4fFEVj5zjImnSqylxmTGbVjH0q5swn2n3iyp0N34DY+1sQgc2ZUWg5qrZiAYz3jceJXxOkaRj+ccodRn5/YtHue4cfefVc8soNiYZfOKBERpJOuRj6MUHyLvuXh744yF6hzLFs+FYip89vp/SOxfw5OZWth/Mlkj82sea6ega5g+vZ+8MuBxamsTTBPeMUoaibXvQ5JdgmLwE76aHz7SKJHpaiRlsFM2bjtupp+cct8Dl0woosGqYWpvPvuODCEImIKueYKXIocdUN4fAQ/+E9cy4Rk12zHOuJNl8BaEN59BI1FrUhZU0WAzAaF9FAZprHGh19fi3P53lkpl36Sdp94v8/NlRl8VTvSF+v7Gbu9dVoM4rITk0Oq6G2tmI5jx0JfVEXvnhSJ+EvBJEU+a7cm5thWiwoHaWsGlPN09uHtWLByh0zsQXimfJhm7a00V1iY2JJTYG/XF+/urojtJnrp2KWoR0WiaiyYdzk0RmF6LJwdDzPxtp0lU1kzbk8UGEokBCNIL+TNZ9PM4exzj+ofGBCLaXLVuGRqNBq81kUO+66y4WLlzIvn37+PrXv048Hqe4uJjvfe97OJ1/W47eBw3+cCKLKwmQSssM+qJ/92C7bzjXce1UTwB/JE6+aYzstgyXL6igwm1h97EBqoqtzJ7kwqy9MNqLJAkcaB3Mad96sJcl09xj5tLikhnV5ffQ1RvAF4xTlGfE4jKTVi6sej+RAFNpI/lr7iR0dDsqswND3VywFRNt+13O8dH2A+jr5xO79ud0DIRJpmRKXSYMJ1+gZzDEnVc2cLTDS/dQlLkN+bT3h0l5BnMKplKBQQK+aFagDRm1kAFvhCXlaQrzG9hyaJAKl4H5k/KIRCLsOOblnWjtCiBVuai/+m5Ch7eAomBqXMjbPhuTg0dyjo+c3ANNqylY/yWSnm7kaAi1owjRXoim7wC3r5vMnmODtHR6mVyVR1O1A8NwK9HJq8mvaSbl7Uc02RAdE/B0dzOroQCHRcv2g70U5hmZN7mIEkMQSVtC4bX3EB9oR5DUaF3lqFxVnGzrYsLVXyZ06A2UdApT40L8OjcOpx3Xui8SPradVNCDsX4O6oIKnP37uGttFW+djNDeF6J5Yh51ml7EgJzF14aMi2PaP5jDFZeVjDb8vuO52dx+T5TtLbnjqtIYiLXn7hhE2vZimryUvDV3oqSSGVqDNY/AgTcwxQf47BVVvN0Ro7XLT3NdAfX6QYzeVm5bXYE4WyLtH8hwjZ3l2LwHSU9aRqhwIV2DYawGNZVuE33DEQzImNd8nsSxN8DoRF83D8HfTbnKwMOfqiY91AkIqPJLSXpa8Tqm4rruayQG2jPZ9vxSwvpCuk/l7pTsa/MxHBXJW/4xop2HSfS0oiufjDp/AglPH9qSOgwTZ5EODCMarQiiSHq4G93EeSiWQuIt25CcJehrZxHQutl28K2cawz5ouw9nvu93nagh8VNhXzj1jls2d/DsD/KkukTqCw0oyigSQfB04kcDSDZ3aTME0gIeowX34Hm1G6Spw+hLp+KpnwaSd4/ebxxjGMc43iv+EAE2wD3338/tbW1I/+XZZkvfvGLfOc736G5uZmf/exnfP/73+c73/nO+9jLvz+MOhV6rSpHDcA2VrD7N4bNnHuNPJsOg/b8Qb5Fp2Jho4tl04pJpeQRubsLgSwrVBVbs5zpAOrL7YiCMOb2ayKt8F8vd444nAF8fG0jc+sNF8zRD0lOcDtx1C0klZKJRBKoUiKawkri3dk8W42rnH5zA9/97S48gcyiSCWJfPVjq6lXRRE2/ZSSRAjJaCOxpYOaxR9HNOUuEEWtAYtJi1YjZdk4CwLYLXqMgVNUvPEfTCwoI9XhRTVsQ7/2y1S7jQz6sq3ci/MNNOg9DDzxY1TWfAAGnrmfWeu+SErlyrm2pqAckyqF5+XfZLkEOld9HE3lNJybH2KFWse6Sxbje+tptK35qJuWM7x/G+Gdfxzta8Us7Es/jLb/ELWDh1h+88dJxyL0PvJN0hffjioZoP/x742oiUgmGwUf/hYluhADT/yE/LWfQ1Rp6Hv0+7iu+idElZPuR7+F+/b7UZnsdD78dbRqHZbZl6N/7MusKKxEU1xOZO8uBFFCXPdFEKVsRRJJhWi0YjP58IWyFzI6jUSl28zhU9mBdYFNQ12xkdbT2TzoRDSGJj+3kE9bWEFaVOPf8cw5WWGB/Ms+RdxUyB83nuRkt58Cu4GHXmph/dIqLi01odq3gdiuDE8+DWgaL4KZl/LykRgPvTga1E8ss3Pn2okYzWYGnvsZpomzSPl7Cb38M5yX3gFymoHH/g0lkXn+RJ2RgnV3ISf8DDz9Y+SQZ2QsrOu+isNi5p2YkG9ErxHp++230JbWo6+YSuDgZuTgMHk3fJNk5368r486QhpqZ2KZs5Zdp1P86PEwFe5FeNti2A/18IVr7NSW2uj3ZC98LEYNNSW2LPk4gPpyB+m0QoFFyzVLKhEEgdQZzr8mHSb06gPEz2itAzguuZNUyUz+sMPDtgM6ipyL6ToSYvVcP5fMsubc2zjGMY5xfNDw/oh4vgccOnQIrVZLc3PGeOG6667jpZde+guf+t8Pi17NJ9c3IZ5TmHjDqjqc5r9/Bqckz8jFs0pH/q9Widx6+WTM2nd/TGQZ4vHUXxVoQ2bLdVKFg8ri0R/OPKuOZdNLUM6jBtDnjWQF2gC/f+EowViuZNm5EEXQyBFUQu5xgUBspNBDp1NjqJ4xErxCxgpc564lFk+PBNqQ2Xl45o02bIk+5MFTpPyDxHtOoKQTiG8/gmByYpmzdvRCgoj9oo9h0cEnL6vm3BrUjywvp9CQwvfGo5jmXIFjxU3krfkU8cHTqJQY6+e7sRhHn4WmCis1+RLh4zuR4xESAx0kBjpQ4hHCR7eiKaxEWzJqPS/qzVhmrCI13J0VaEPG4l3x9hA+vIXQvg30/f5rxFp24N/5PErEB7ufyDpeObUTKTxAeMvDcPA1Or97Ld0/vgl54BSyv5/A289nyfalQz7S/kGiJ3YjR0P0P/Iteh/8Z5Skn+D+15FTSXRVU/FtfBDPhl+jTiawL7gKUW/GPHU5ib6ThPa/jhyP4Fj2EWStAfvi6xnlEQvYl9yAoLdyy+WTUEmjA3vJ3HIKDDIfmm1m4ZQi7vnYLD573TQWNjop0/pZ3uQk/xwb6soiIzVFetQF5Whco1okksmOsWEB8nBHFv0CFLxb/oSQirP72ADeYJyWTi/ReIo/v9ZKPBwitvvZrPFLHHqNeMjPU5uy6RctHV40pPBtexISUUIHNxNrP0DK109q8DThI9tHAm3IZPPDx3fCcAdKLIRx4hxMk5cg6YxE3nqSinwdF00dlZzTqiVuv7QKjZBGN/da4p1H8W1+hLSnB8OyW0jLAoFd2cXHkeNvk0ok+NULrSRTMsc7vQx6oxzvDtHRF+LyhZVYTaPPZWOlk5oSGy6HkeL8UVqZy2GgxGVGrc7sfqXTykigDYCvKyvQBvBt/B3psJeXtncQCCdo6fQSjiZ5YmMrnvB4YdY4xjGODz4+MJntu+66C0VRmDFjBp///Ofp7e3F7R6VAnM4HMiyjM/nw2azvefzOp0Xzh9+v7HAZqCsyMKAJ4LdoqPUZUb3P6Rv+uHVdcyf4sYfiuPOM1E9wYbqf8BYIR+499Y5dPZlNG5LXGYKxnB0O4u2/tyt8VgijSBJ5OfnZvIAkt4+Artfxnd4C5qCUuyLrkNXXDvmselElL63nsW26DpIp0AQUBSZwL6NmObeknP8cCAOyVzCSzrsQ6dVw8T55JXUI4f9SNZ8JIOZoG+Y2o5nue8j6xgMpXGYJCxtryHFF1Gw7ouEjm5l4LHvobK5cF35BZDBuPXnfPuq6+mLalCrBFyJbvTdu0iEc2kQKf8QktmBsXY2linLkdNJRI0e7+ZHMU+9KOd4ORJEjkdz2lFklER0TL1rORElHfLlfiYZIxX05DRLejPJ4Bgay4EhJEHEOn013jf/TLr3JJZpF4PeQnqgHVQa8q/4LHI8hKS34t3+FM4lHyIhC+Rd+zXkoAfR7CTSfQLJ20OTFOKbt86izxPDatJQrAtjUfz4TFZczhgPPHUAm0nH1RfVoJe7kPc/wb9cfgm9cSOSAC5hGKPnOOGuo5inLUdUqZFlGVGlwbvtcawz1+TOdciLKOeOUTyZJh2PjlklKSdiI1KR50KlJImFcuc0HQ2OuIdmtQeG0RZWY190HaFDm5HjEUyTl6CkEghynKsmdLG0sZFwXMZlVNDs+Anyijt4M1HPwvXfQI74EEx5PLIryIcskVyd6DN99YfeqQsP0XiKueVOvv9Pi+gaCKFWiZQVWrCZtfzq2cNMqclj0bSMEkcokmTj7i6WTC/GYtHnnCs0mHt+ORpGVMbojwIywnm/7+N4fzE+L/84GJ/rv4wPRLD98MMPU1RURCKR4Nvf/jbf/OY3ufjii/8m5x4eDv1VWqnvN0xqEdMZTetgIErwLxz/t0Sp0wBnTGu83lwe998TxXbdiB7v4OD577rQKOdQMCZX2LCqkmN+TiXIxDY/RPRYRgs4GvISO92C84ZvE9eMXQdgqp3J0LM/yWrLX/MpWodyx2TxtGI09lRGz/mcoMo0aQGpaIjhP38ry2hFWzwRw+pPE/MPoH72a5xdVqb0ZsSlV+Pf9Ajhw1uATBA38MT3Kbzx2xiqpuF79l85m6dMALarvoTKkpejH22sm0O8vxPPa9ncc+u8dagd7hztb0NtMypbEaLBktVXtcONZC1AU1hBom9UFlDQGlDb3WgaFpE4NOqoiSCCrQjTpAV4Nz+Sde20txdjdTORo9mazKaGBSQ9XfQ/9t2R8fO+8SjWZAxV1WxCL/0/grteGDleVT4FwZJH7Pn/JHxOUK+y5GOt/xrh3b/BeOonVJ0dJ60B+ZYf8ObuAZ46U8g35Ivx3Qd3ce8ts6isnI7nuX/n7D5GEhCu+Az6iikMPvUfWX11LP0wotaQM9fGSQtI6mw5NLDaEht6m5OYvZCUd7Q4UzLaMNidzKlPsOPo8Og9SCJJyYBp0kL8bz2TdW1tYQUqo43I8ey5NtTORNAZGXxu9Hn173ga+5Ib0Egyvh1/xiw/OlKsqq6fh2Jy8OSbb/HghrPB/jBlhWZUF5WhLignOdA+ci5RZ0JlL2Jxk8zG/aM7SpIoMKHAxOBgEAkoy8u8N5KxBIOxBHMmFXH/n/Zl9fWO9U143kE5OQuduRAkVWaBewb6mpkoOhs2sxbfOTUObqcRi071ru+Jcbw/OPsOH8f/fYzPdQaiKLxrcldQPmB6RC0tLdxxxx386Ec/4qtf/SrPPZcxN/B4PFx00UXs3bv3L5whG/9bg+0LRSwl0++NolaJ5Ft1qM9wE5JphX5fFEVRcNkNaKTziru974ilZHqGI8iKQpHDMOKgplISSJEBlHgUweIirrKg69uHX5ePRYiiRAJgysPnC5FvNxI2leWcW5cYZvC3d/FOWQDHFV8g6ZqMKdlPytOHqNUiWVwERTumZD8CkPT1Iwgikq0ABIlhxYI+HUQT6kdJJcDmpl+2UpTqRokG8L35GKnAIKZJi9DXNKNEgyQCQ+iLqkhHAkhmB/49r2KZvIiUtRRvKM6gN7OL4bJpUMV89D74zzmZ0MIPf4No217C9hp6vQk0agm3RUATG0Zb2ki8fR+Bt54DFCyz1qAtn4KgNpDoa8X/xiPI0SDG6asw1s4mrDNhGO7As/lRUr4BjBNnYp6+imHZhEP24N3yRxK9J9GVNGCdvw4lISPqtfjfeoZo6240rnLsiz+ET7KhN5vQhQdJ+foQtUZEcz59MTWFqgApbz9JXx+CpEbtKEJbUk9vVz8WXwv+HU+jyGmszatJFE1B62nD03oAf9Fs4mmBvPQAmhOvo6z8Ekn/INr9j5Ea7kZbPYs25wJKSgspwItv62PEu4+jnTAR2/yrSAsinie/j3nqcgAESU34+E4SF3+Ze365MyeTfMvlk1hRJZP29WcszgURlaMQlcNNOg3pnqP4tj2Jkopjnr4SXfUs5OAgpBL4tj5OKjiMqWEBurJJqJ1ujngNPPTyCTr7g0ybmM/6haWUKH0kh08TadtDvKsFTWElpvq5SLZCursHeOG0ha1HfRQ79XxknpUaUwgUmUTfKUIHNyHqzdjmr0c0WIl3t4CcJnhgI4IoYp5yEYJGj5yM43/zz1n3pnYW41h5KwICcjSY0XM32ZHlNCqDlbaohVMDEfzBBE6rjoo8FW5tBFFSE9z+GLGTe9EUVWNZfANxYzHRcJBntp9m0/5BXHYdN6+uoazQjoyAKTVAytOLqNIg2osICTYiSZndLZkFjqwoXLawkln1LkzncUcUBND6T+Lf+BBJTzeG+vkYZlxGTG1nMJjgoZePcbzDy+QqJ9etmIjjrywaP/u+VEkiBbbR9+U4/jYYD8D+cTA+1xn8pWD7fc9sRyIR0uk0ZrMZRVF44YUXqK+vp7GxkVgsxq5du2hububRRx9l1apV73d3P5DwRpLc99Au+j0ZCsCsBhcfWVVHWlb4+ZMHOdaR2Y6uKLLwmWumYtG/79OeA180xa+ePsiR9kxf3XlGPnvdNIoMKeJvP054/2tARmrMue4riBYH+lN7GNr6BKAgqLXkX/Yp0I5tcKGIKgSNNovrChnHRmO4nYGnfzRChzBMnINl3lqUVJKhFx8YcSLUuqtxLL8Jm5AksPlh/O0HAVBZCyhe8ymQVIQ6DqEpKMNQOYVoTyvG2pkIDjcp/yB9f/w3UGQElYa8S+9AKK7n4JEefvjnoyRTMqIo8PFLq1nSaEfUGXLpAoLIoLmO+57zMHhGsWbuRBsfmVuMTk4Q72nDtuR6UCDatg/dhHr6U0Ye3aPFmXcjFp3I7iMxPlpqITQU5cWdCe5e+zlIJkjq7dz8w7f4we1TSfScxLnyNpRUCiSJZE8r6tJJpPrbSEeDWKavJOntI951DMPEBWg87fQ//WPkMw6FpqaluKatJjnQiW/Hk6S8mUyorqIJq86IRpBI+gbJX/s5BEEgfHwXgpwkainhqbiZjc9lMtV2s4W7L70VqySQHmxFYy3AUDqJWG8beUVx1JJAYqAL09yrsGp1pOMxEsPdSK5qrHPX4d38yBnHQQFL8ypQgdmoyQm2tRoJJebHt+XPJD0ZN0XthDps89cjaE3E+k6Rt+o2EDPceNIJ0vEovtd+h23BVUgGC6Ej2/BsfBjX+i9he/5LfOHiTxM3lKLv20/ssf9AuPareF77PbryRizTV5IY7mJ4w29xXfMVNLsfYZ3dzeVLZiAG21De2IZwySfx73wOQW/BseIW5HgEz6Y/4Fj2EVKBYWLt+zHVz0VRFAJ7N2BuXIxozZXBEw0WBJWW8IHXCe57NdOmM5K/5k5SkpZTp4f51YttyEqmRuOuq+uYMMFAVLKhW/pxjAsjyJKOGGpQwCb7uCq/jbU3N6OK+xGHtiIWXIw+1s/gMz8lFcioj+grp2JddB1oClkyxc20iQUIAlh1alKp84nnZ+o3YpZKTFfcjZhOkFIZiSkCMnCiy4dWLbJqbjkdvQE6eoPk1zpIn/90Y8IfTfK9h/fSM5T5fk2tzeeWNQ3vqz36OMYxjv/beN8dJPv6+rjtttt4+OGHefjhhxEEga9//euYTCYaGxv5l3/5F377298SDAa59957MRjeuzsg/O91kHzPEODJLac42Dq6Dd09GGZSZR7tfUE27OwcafeF4tgsWmomWP/qMdFqVWMWQkqSyH9HTHbX8UFeOaevwUgStSQyxerFv/H3I+1KMk7aP4CuqIrhl85xNJTTxLpaME1aSELMPCNGo5ZkMvNLLEs69BYLsZOjOyMady3mGSvwb3yYxEAnakcRgiiR6G3DMn0l4aNbiZ7YNXJ8OuhBbXOBSktw+xPkX/MVrHPWEtj+JChpNO5aPC//P5KDncS7j5MODJEY6kJfUsfQ8z8fHR85TazzMPGy+Xzr4cMjVBhFgT2tXuZNKsCR7yR6cnT7XZ1Xgq5+EX94O8SR9lGOdNdwjEn1Zdj6dxPa8zLRE7uInthFcrgLyWxHNaGRnz52kEsX11Jf6+ahF1sIxVIsrtWwYd8wT789xIGeFL94toWbLnLTMEHPwOPfB7UefcVkht74E6HdL2JqmMvg0/eTGuoi3n2cpKeHWMdhbDNW4nnlV5mM8Bkk+ts0aqlbAAAgAElEQVTRVzQSP32U2JkFCUDK14++ahqipwP/tscJHdhI6MBG4t0t6IxGTmnr+f2rozSVWCKNL6ll0UQj0ZfuJx32kg55SQx0oBs6Qf6MpQw89u8osSC60nqCW58gtG8DpunL8b7yq5HgHyDe04pj8nwchYXsODTq8plv13PJ3HI0JzYSPefZSAeG0JY3Ift6CWx/kvCRNwkf3kKi7ySiICJVzyZ6YifRo1uJtLxFytODMP8mJFcFSs9Rki1vogt0Ej2yGeusS0kUTUEjR4m07CDefZyUtw9D7SyU6gXoLRYih7egiXlQBk+hthdimrIcTX4pgbeeIXL8LaJtexG1esxTl6M2Owgf2Uq8+ziJ3jZAwDLrUkSjndipfSjJM1QLQcS24BoEOYV340Oj36FUksTgaVJVC/nmQ4dHHFplWWFvm4+F00pRqdTIiKRFLTKZIFRNnMAL9xNr2U768GskW94kcfoo9lkrCe54mnjXqKJKytuHrqiKtLUERVHQqUXcBRZCoezF7vkgI5EWNShnil/7fDH+45E9dA+Gaenw0ueJcKB1kJmN7gsKkgVR4PkdHew+NjDS1jccoarYRpHjwn5bxnF+jLsK/uNgfK4z+MA7SJaUlPDUU0+N+bfp06fz7LPPjvm3cWSQSiscbhvOafcGYxw+lVugtv/EEKtnlzKmB/q7wBjvI9F1lGjvCbTFE1G764hoXcRSMm3dAfa1DlLhtjK5woFZd2GPlVot0daVW2TX0uklXZ5bMJXoOU46lHtv6aAHORrApEkQ7zlBsLsFbVEN2gkTCWndCBVzyLvaTbL/JJI1HzG/CuIR4qgZWPBFdp1O4ygUmeKMgNaQI/sHEO9txTHlIgqv/2cibXuJxiMUrP8ikqVgzKKyRP8p0kEP71yIyNEQvmCMyDvUU2RZwROIUWCyU3Dl54n3d6Ay29EUlBPw+7IC7bPoHAhTE+nMaY93tVCw4Br+eGc50ZMbSXcHeOTWGaQthdB/lG+vKyTZ3UJy+BC6mVNIJQZQonqKbvwW8a5jeF9/EPOEWtSzLskUT0bfuVWoICSjWTzukbkI+Yh15WpUk0zkqKAAxPtO0q+en9N+tNNPJJaHbf56lFSClH8I06QFJPo7kAODFN3wjcxc73wWfdUUbAuvQg56z4x5NhK+AXSim3tumklblx+TXk3NBAun+wNYxuiTyuwg0nk4pz3WcxztrPUcrvwI1dohVMkgAUMJf9yZ4DMlCRxLbyDWeYTEQCd5F30UVUE5LYNhjCULcU2oIzl8GrXdjU9XRGdfhMnlk8m75A6i7QfQONxoyxoZSmjoCDqZdvXdxHtbEXVGNIVVvNKhYZ5vD7YFVyHHwiAIiFoDoaPbkUomk7f6dpLD3SjJOJqCMsIn96N1ledOw2AnUjyS8xoIR5MEwjF0utziRSkVzeJxn4WQjBPvac1pjw90oqlaQOdgmLfPyP811xVQ5NBf8LrcG4yRfkdnY4k0vmCcfNN7V2qSFYUDrbkFuq1dPppr8/4hKIfjGMc4/ufxvgfb4/jvQS2JNNcX8Oyb2QFPnlXPtNq8rCweZCgmcvrCflAMBPBtfJDYmcAjfGQb+ppmTMtu4dm3B85xjjtNeZGZL90wA90FKJgkk2nqyx1s3tud1d5Uk4/Kmrti1pU3IVnzOetkeBYqmwvJaMW76Q9EW3eP9FVXPhn7xbcQEmyk7NUIjmqSZz6mkZKcKrmMHz41Kr/2jF7Nv5XI2Mon5wTcupIGUr5++h+7bySDGNr/eoYScY5M4FloS+qQbPk5xXSSyY7Tqsdi1BA4R75MJQnk2w0ENj5Nou8k2vIm4gMdEPFTcMM3mV5t5eVd2YohFS4D2mgVkZZsYxF9+WQSXUczWteJzGdCBzeRt+ZTqIsaGHzs30a2/cNH3sQ2/yoEbR3DL/2SeFfLSLuhfi62hdcjmR3ZQawgglaPtqSO+OmjWddWWZzoyhpJDmfPKRotutIGIsd3vmNc6yl25Oq8T6+yYjZp8BzZRsqbeZbDx7ZjnrEKweTEu+FXxE4dONPXbeirpmNfdiMqmysr2w6gsbuo72vB+/SvKHK4SYd8iLslZq/7MulI45ks8SjSoWG07hpCBzdlj2tZE8GUigde60clCWjUFiKxYabV5mHSqRh64gGSg6dHxs887WLKZ1yJf9PjDLfuQNTqkRMxxOIGKi6+nfChVwjszCQVwmRoSc4r70IReuj/83+iclWSCnsQkwlmXn4ParEQ76Y/IKi1oCgoqQSOiz6GZHUw+OQPMrrjkoSSiOG85A5Eoz1nXLXuWgStEUkUsoJYm0mLzZwbaAOk1Ua0EyaOPBsj7aIWXdkkQu8Yb21hBe0DIb7+yx0j13j6jTa+cdtcih1jX+N8yLPp0ahEEufIBBr1apxW3bt8KhcimXdgZ1/2wrG+3DEeaI9jHOP4u+EDq7M9jvcGRVG4qLmEiWWZH1RBgFVzyih1mZhU7mDBlFH5xOa6AmZMzB/TJOZd4e0ZCbTPInpiF8P+GM9sOZnV3t4bpHd4bKWBd0NdmT2rrw0VDuY3FZGylmCZf3UmsCNT8GWedw2KWo9j+UcRVJmslmSy4VxxC3I8PBJon0Ws/SCyb1QF4tzb9yZVPLKlj699qJ5H/qmGh/6pjua6Atr64+grp6Eraxw51lA7E21xLbG2PUgGK9Y5V2Cbvx6tu5rAzudQGWzYFlydMVoBVLZC7IuuQ5bUOFd9PBMckeHR5q2+HasmyReubsB8pshLr1XxufX15OnS2Bdei8qST7z9AMTD2BZeg8poYc2cCVS7M5oSggBrZrupKdCgLZuEvmr6SF/1lVPR1swm3n1iJNA+i8DOZ0ElISejWGaswrbgKvRV0/HvfJ60ty8nmIoc3U46MIht7pUYm5Zgm78e84yV2Jd8iKh3GMfi61HZCzMHixLWeeuQrEXoq6ahddecOYuAqXExGnctGncNhomzRs6vK2vEUD2dynwNVy0sGdEdL3MZuXpJBcpw10igfRahfa+hhL0jgfZZRNv2IAeHsc68FMmUkQgVVBpsC65CrRIJ7MjsoqU9PZCIIEeDCMMd6CbUoS2pH53rujlIeguSqxpjw4KRdm3xRAz18+gajnHp/AoUBSKxFO48IzMbiggH/COB9lkE972GNjqA3LodUJDjEVBk5K5DGBMegnuyNa1T/gFkbw/szfQ11X8SQj7keAS9/xSi3oKuogklGUdJJdBXT0fQmUgOdqIkYyjp5EhtQnDvBhRbMdYFV2fUZ8gE89alH0ZjMPHZqxrQnaFhWIwaPn/NJHS6sQPYpKLGuuwmVNYzRkmiCtvSD5NAi7lpGZrCytG5blqKqqCMLft6soJ5WYFXdnZesJxogU3LJ6+agv6MBKpJr+bOq6aQf4H+A4oCC5vc/5+98w6Pqzrz/+fW6b2oy5Yt2XLv3cYU22CaKTYtwCakt01CNr1sspu22eyP7Ca7ySabBilAIJAAMWB6NdXG2GAbd1t1pBlNL7f9/hhZ1nhkdgETSJjP8/A8+Ojo3veec2f0nnPe9/sybcIxBaJVC1ppb/K+puvUqFGjxmuhtrP9N4DXLvPpS2czmC6iSCIBtzpS5uPdZ03mvGVtWFiEPDYk4bVn3VsnyEAyTBNzDMf9+OPe/wteu8zfre1k7ZLxmJZFxOdAFUEHpOlrCU9cCFoByx0mLzhQB14mf2Q30Ys/g1XKI6gOBjb9gsiZ7xv7Gcyxn8G0LP7fu5rJPP0H+u9+FtHm4H3LN5CNBkk8fiv+FZdgLTp/2NkvJ2qJTj+uzkWknrsHSy/h6lyMEm1FwEQJNxFYcQmWoSHINgRRwbIEJHcQ/9KLyrrHig3B7sRKD9J06Gn+9f3nEU8V8Llt2A4+CYkGYpt+RmDlFYiSDJJMetvDODuXID30fb58+afoGyqiKhIROYPDY0dPZ3HPPBXPjJXlxZQoIsjC2NrYWgnBNPAvvoDk03dgZJPYW6YQWLEe8wTjhFVu1/oPkd32UFlib8k6CiUdRXARvfAf0FOxsiSepwFjYC+l/oO4pizBMWE2iBKi3YWoOigN9eOasgL3lGVYlgmijD40gGt8PRfO97F8ephC0aAuoCIdeQ7LWb0za5nGmLrVZVMN4g//Ds/MU8v2WBaZ7Y/iaJ8PY4yHZegkn9qIc8JsvHPXIAgi+a7d5HY/jWfOmTiXXYFr5ulg6gjeeoyB/cSSKjv2DbLhjA4sC+KpAjdu2sncqzvHMMg8oa1Y5pjvpmWZoFfbKpgmpl7COWE29uZOQEBU7Zh6YczPqaUXMQUFcdpZhMfNwipmEbx15GU/giVQF/bxucumU9I0VFXB7XFjvkptqry9Ht+GryJk46A60OxBDEsk42gmfP7H0Yf6ESQFwdNAQXJRKFWHEhVK+mvPGTFgbnuYr79/MUOZIkGvnYhHxXiNp3QAHrvMJ9bPZDBdRBIFgm4bNTGSGjVqvJnUnO2/EWRRoG6MI1VREIh431ipdzHQgBJuHlHlALA1duDxO1gxq5FHtnaPtIe8dhpCry/RSAIa/PYqKSHDEjHsERj1eIK/kdKRl+jb+cRIm2v6SkRPCLWhnVLPsRhSJdKCdHTn9Tg8doncs/eT2/0MQFn14f5flZ346Svo/fVXK/pHL/4MstNDfNPPRtqyLz+BP1CPqRWI3f79iv6Ojvn4F59P723fK8sEHrUp2ED44s9hxLso3vD3uCgvLAg04L3wU7gmL2Hwzz8e6S/anJgmeKauJP6Lj48MxaAoUfeeb6H37mXw3p9X3Du0+hpsTZOq9LS9887ERCD+4G84GoZTOPwySDLB069CCTagxY/tJNtaOhG9daQ2/RItXp5rPRUjfv/1hC//GpmnbhkZv6PUX/6PYOjEH7mxol1y+UArEtv47xXtgdOuROw/zMCNX0cAHEAKcM86A/vMiVXa366pSxHdIdToOEr9B0fa1foJSIE6nBNmk3p246j7+kFR8cw9k6FHbx5pF2QVNdyCOMvFwJ0/HGWRQN36z6INHqnSWvcv38C4xsn0DGa5cdOxMKMNp3cQ8ir0HRdu45y0ANEdwtbYURGvroSaEF0+3NNXkNn20Ei76HAj+6J4Fq0jce9PRw2ejFzfjtG/l/i9x94/gNDZH0JumVoVruRZuA5dULEs0F3NMEqsJ5nX+Mr/PFWhVd8QcvKP1yx6VYnQkugCz/CFRvm6aQLgH7UwMkxWzmnioeePVPz+mYvGva5qs7puEHarhIdjtF+Po32UE31f1qhRo8abwdtOZ/tk807R2X6zcee7yLz0GMUjO7GPm4arcykZeyPZksEzO/t5/IVuJo8LcMa8FgKu16d9e5T/q26nvdBPfvv9lLp345yyHLltAUXZi7twhOzOzRQO7sDW0olryjKyjuaxn0sfoO93X69K/vOfcim2Scvpyggc6MshCOXY6Ca3Tvblx3BNnIc2cATL0FDDzWQPvoQ90oLkDaHHuzGLOeRgI8VMAsUyid35n1X3rrvkiwhuH1ZqEC0ZQ3L5kX116Ilu5FAjhf3byO7cjBJsxDv7DPBHsHSDXCaHPtgFsoocasbf0Ejs7p/hn7USbaALCws13MzQi48QOP1SjMN7SW25BzObwj3zNJSmDvS+AwyMYVP95V9BkFUyOx6j2LUbx/gZOCYtxMqn6Lvlu1X9oxdcSyERw9HYhh7vRrQ5kQP1GOkEiYd/WxWzHVr7IfJHduGZthwjNYBlmSj+OlLP3YNn/ln0/fbrFf1Fu5vgGVcjufyYhQxmPoPkj6APxVCjrQiSTG7XU+QPbMcxfgbOyYuwtCK5V54BQaRw+CWUUBO26HhEpx85UEepdy/Zlx5DcgfxzF0DgogW60JyOkk9vwlBUfHOPRNDK1E8sI3MtgcrbFKj4witu5adCYW7Nx8klshzypwmZrX5qJdyoKdJv/gwpb79OCbOwzlxDkZ2iFLPXoxChmLXK9jqJyD7wqiNHeR2PYWoOsgf3I4SqMfW2A7uMEQnIXZvI71lU9nWeWspBSaQv+M7FA6/VGGTY9ICHKs+hpTYT+bZu8qJwnPXYtZNQRfGXmzv7U3zzV8+U9X+7Q8vPWmOqGnBoViGPz22H9M0OXfZBCbUuxFfxwlbjb8eatrL7xxqc13mba+zXeOvg4yjCWnhpQQXaWiinczwbphLlThtViOnzmpAEASsv+DCpmCPIi28HDcmuiVRHF43ZuzNOJZcjntBhqJgI/sqqkSW6kAJNFA8ztmWXX72pSS+ff1zpHPl4/yg187nr5zN+LZZxP707yPVAAXVTt1Fn0GwOYnf/6tjyYKCSPSCT47ElY9GUOwIvjqKuzdXVFn0zFmDa96Z6P0HKfQfJnT2h9CG+kk8cRuBNe8lP5Qg/YdvjeySi6EWrLWfwDd9Gf23/itGNllud3qJXngtVqyX+APXE173SSTFxuB9v8LniyDaq/XIJU8QQVbpueEr+FZfQ2j2GeR2P0fvb79WdsIV+7Bu9TFEhwe7INB30zfLiXmUNapDq9+NEmmtcrZFWcE3cyX9f/qPkd1f0e4u2zrGu6OEGpED9SSfvoP8yO65QOis9yO6fGSeu5vcni0o4WayO5/EMjRcM04js/1RBElCrZ9Iqe8A2R2PEV3/WeKbfg42F+Ez34+WS9J34zcIn/sx1Egj/Xf9F+7OZViGxuB9vyRy7scxg41VNsmhRijliD75C97tq4eWeoov/o5w5CqEcCvdv/xHAud8DM+8s8hse4Tem75J3SVfZGjzn5DcftRIK/mD29GH+mm4+hvkXnkGyzCwNXZQGjhC9uUniK7/HFa2n8EHbsDWMBEjEyd+/6/wn/dJlIaJVc62Gm3DMEHzjMe26iOIFpTMV3doPWPo7dsUCedrVBN6NUQBxkfdfHLDTHw+B4kTVI6sUaNGjb9l3nKd7Tebv3md7b8glgWaKZ34+PY1jLNbKqIqUDKqE6Vei26nZYFpVTsVgmAi6UV0UX3VGFSHVUSNtpDb9fSIs6jWT8A9exW3bB4YKQgEkC/qTG0LEE3uIPfysfAVDB2jkEV2+0k9c9do6yj27sM9dw2YRoVEXvCMq5BsDgb+/KOKY/9S715cHfMZ3PRz1Egr9oZ2TF0n9fgtOBZdSOqB68vJc0fvkE/haGpHO07T2tKKCKodtaG9rGm95V5Sz25Ej3ejZ+LYW6di5tMEVl+Df9H5WIi4Jy1ACjUjihKpx24ms2UTxUM7CKy8HLlpGorNRuHgsURZ97QV2CfMZmDjjytOBozUAPaWTpRQI/mD20fipJVgA86Zp5Hfu4X83mOa1pZeAkFAHT8TrXcvRqY85oKs4l92EWCRfOyWinkrdu3GNWUpg3f/FLOQQU/0YBZzFHv24Z51OrZoC9lhBRMzl8I1dSmO9oXYoq2kn7mL9PP3kNvxKLbGDlxTlpLeej+lI7sodu2i1LMHq5hD9oWxt06lcPhlzEK5AIpodxFYeRlGOk7q2T+jxw6iH9mBVcxRih3CNWkJlpYn9fjvyWzZRKl7N6EzrkbyhpDsTvJ7t5RtKmTxzD0TJToOxRsh98qz5RORXBLHxLk42maSfOR36INd6Inesqxldgh70yTU1hkU9zw9ooYjeUK4l12GJpXDt9yKhUyRkvnqJ0wecwjLstjVdcwBfv/qRqbU2zDEkxtiYVngcdtrerzvEGray+8canNd5m2vs13jnYXLjKN17Sa+dROCbMO7YC1muJ0ir00K7FXvkT9C9tlHSR96CXtLJ+7pp5BxtIzZ19QLmLpO3aVfRIv3ICp25GA9QrCJI7Fnq/oH/U70vf1V7Xqit6x7fHx7Moagl3BPOwXnhHI4geyLYhRzWIUsGNXa3GY+Q+TCayns30bsjh+gBOqpv/wrFAoaDPVU9bfSg+jpau1gfbAbyempatfiveiyDd/i80k9dy9avBtX52LUhg4oZnHNOBX7uGkYmQSyL4LoDWPG9mJvm03EX4ee7Ed0+lDCraBr6EPV42EWcoiBeqLnf4LSwOHyLnN0PKLLNxL3XWlTN6KpY4uOx9UxH8s0EUSR5FN34Ft03hhjlC6rrByfeGiZmJk4UqSNug2fR0/2ITq9SL46BFMn37OnHIs91I+g2JA9QYx8Gi1RPa5avAe1aTKRcz+KNtiNZRoowQaKA0fGlHHSh/qx9DySN0zkvI9jFrJIbj/pHY/h8QSRvRHC53wEIx1HcvuxACMVI/X8vQROubScVCvJlPoOYBXz6PFqm8xMHL1pLoFLvo6ZOIIgCAiBZgqyD5tYQhzYQ/zZP2MWcnhmnY7SNJmsXC1JCSDnBzldf5jZ5y1jqCQTVkv49twCHe8Gt2/M36lRo0aNGq+dmrNd4y+K1v0KgxuPJf4VDr9M3YbPQWAMFYfXgZsEg/f+jFJfeRdZGzhM4fDLhC+4lowYrOpvuerQ9zxHbHQinyhT/3ffZsn0enYeSFT0j8XzdLRMIb3l3op25+TFw/J3ldrfzo75CA43fb/+dGWCZKiJyAWfQvZF0ZPHnFXB5kT215F58eGRe2ixQ+QPbqfu3d8lP3k5+jO3VT5EZAIOl4fczs2VNk2aT2mg2rF1dS5GEQT6bvkeVrG8qzkUO4SRjuNecSmxG75coVFta55M6JyPkLj3F+T3H6tqKXmC1F36FZwdC8jtHq3xLSAH6tFTMWJ3j0rwE0TqNnwR54Q5VZrgrsmLMLU86Rfur2j3zDqjPK6iNHLyAGWdaNHlr0qcPBr3PvTYzRX3EJ1e6i7/KhICvTd985hJkkL0ki/imryoSmfbMWEWgqnTc8M3GT2nobUfRPaEOB7n5IXg8JF66o4KFRglMg7ZX8fQE3+ouIcSbCSy7hPInkBFKBGCiGfBOTinryT91B8r7iFH2yhaUFT8EPVX/ExKHKDv1u+NLEAGe/cRXPNe5PYIevWaDtEbRejeTvDAsxz9ZEiBBixX9eekRo0aNWq8fmphJDXeEIoCzkIPUuIgNvIIdj8nijLxKBrJh26oqu4n2pzYJ85FHy5Y8UaOpaT4AVLP3FnRZuZSONtmojuj1fbrSRIP3UDotCtwTlmKe+oyBMUOWo7QuA6uXBFm/QyRDQt9XHBqO36PDZfPieKNUOzZC5aFZ+ZpuKYvA9mGvXkSxZ5XsEpFHO3z8C+9EMuycE6YTbFnL2Yhg62xg+CaazD1PK6OhZRihzAyCZRQE+G1H0Rw+sql6Efv2hoatmgLQuscLFPHiB1EtDtxnHI1nvZZiLKKs30ezknzcXUuxj19JXKwAVt0HI5ZZ+DumI9z8mK8Sy9EDTWiDXSR2/lkxViU+g/h6VxE6qk/VbQbqUGckxZUqHgAWKU89ubJODsWoEZasDW245gwB8/c1SjhZhIP/hYjO7ripYXk9GBvm4nsClDs3YcgCHjnnYW9bTaSN4waaqDYvQfL0HFOWYxn5qnouoZr4hxKPfswiznsrVPxL72wPH+Tl2GPNGJv7MDRMR/7ggsQTY3EA7+utFUr4midytCzdxE69V04pyzBNXUZyDKiYsfW1IEgq5T6DyAoKv4lF2JvnUr25ScqlG3K71MSZ+cSHONnYKufUB6DyQuxt0xBUhTUYTUXs5DF1jQZ97TlIKukNlc6zmY+jb19Hq72+eipGPpQP5InRHjtB9ACE1FCTQh6ES12CNHhIrD6vRh1nVhUlydXVYHSzseqigvpyQG8k+dTojpJ0pCdeCdMR+vZjZlPozZNInDWhykq1VKLJ4PacfM7h9pcv3OozXWZWhhJjTcNUQSlfxd9d/6wHLMryQRPfRf2iQspUJ2AZ0kSglr9R19U7a9LCmwsBGnsV1oQx263BInw6muI3/eLYbk7Ac/sM1DC4wgLCRL33kBxuOy4Y+Icgss3gC7imHkG9vHTy8GorjCk+9AHu8geeJHohs+DYWCZBn03f5u6d/0TeiaBb+G5SE4P2lA/Zj6NGGzEHOglcNq7EEUZE9BTcdSAhCArWKXK7UhBlCnc+0P8666lOOdsBElGTh2B7CBmLkXquY0jcdv2cdPxLjwXLdlP5rk/j0jLKeFmQms/iChVB0IIslyulHOi8TtOVu7oeFtakdTTd5WrUQoivoXnIfsbRor4VPRX7ejJQUxRpm79Z7AQKPTsRYsdxObyk97+GJF1n0AQRApduxjY+BNCq6+hMNSHf9lFiHYXpXg3+lA/StMUpKEDDDx6C5ZWQFDthM96P0KwGSSpKkRHEEUia97H4L0/G965F/DMXYPsi5J8/A/Ypy6jYfopgEBm/4vkD+5AVKtjlwXZjmXoFA69RHrLJrDMcqGYxecj+6LEH/4d7qnLkKYtp9R/kPhDv6H+ki+eYFwlMo5m/Gd9BCEXB9VOQQ2h66DLfpRlVxFZsA5LkCnJnhMWpDJNC0Gp/qIXFRVBlGCMj5dlWRS84/Fe9FVEPY+huMjz2orE1KhRo0aN/52as/0moKpQegcs9FzaAH13/+RYcpyhE7//euoiLeBtr+qfKYh4562lcGAHR4/lBVnFMWE2We0ExVReI5I3hHPSwopy4I4JsxG84TH7m5KN7JZ70eI9OKetQB/sIr31PlxzVpPfuZnikZ2oE+eBViS/dwv2cdMRGyYx+B/XIIdbys7fkZ14Zq3CNetUSo/eTN+eLYguH3qih8DpV2MVMgze/VNw+XG3zyOz9WEkl5O6DZ+n/+7/LMc3O9zDMd8C9Zd/Gf/idSRGhbbIvihKuBnfovPo/8nH8ay4BCN2hNT+rUSv/AZa7ACFAy8iDatnFA5uxz5uGoqhV2g4awNHSD9/D97551SVNPctWocQaCgnBR46pnbhmroc0R/GM+sM0ls3jbSr9ROQwy0MbvzvkbLvWCbJp/6IrbEd34Kz6T+yi5G5Vuw4xs1Aix0i9eiNHAv+AN+y9agON3q8m9jt30d0uNATfYTP/hCIEsmHK/W65UADkYaJDGz8yUh4jlUqMJozCM4AACAASURBVLDxp9Rf8VV8884i+fSxEw4l3IIUamLogRtGPbNF+vl7cLROxTV1ObE7fjCymBBkleiF1yJEmkk9d/dIMiIIZZ3yfLqi8qOe7Ce76ynkiQtQws2kX3hg5GeeReswPI04O5dUnCbYx03H8jUBkDUdYG8avtix5zRMEUMeDhd5lSM6XQdXyxQE1VFRMdS76HzSZvXCdzQlwQ5KTXO6Ro0aNd4sajrbJxFX9iDFrt2YpRz2pk7MwDgK/O3+EXOm9tB34zeq2sNnf5hi86Ixf8dGETGxn/y+rYiKDUfbTErBdjTt2By9Ed1OR2wbos2FFu+m2LMXtb4NJdKKmUtSiM6u7m8kMAcPIcoqxa7dSA4XauMkJH8d6Z1P4wg3lMuXCyL25k4KsUN4Zp6G1ruXYvcrmKUi9ubJ5Hv3oXojyP4Ipd59GOk4tqYOLEHCKmRQgo2UYgfLSXd1bci+KFYhTWb7I6h149FTg8juAHp6EHvLVCRvGD01QOHQDhR/HfbWqWjxQZSmCZiJbgpdu8rhN42TUJo7GbzvF7jb540UTbE1tpPZsxXXuCn0/+HfKp5Z8gSJbvgClAoUDr+MNtSLo3UaUqQFQSsrgxR79lDq3Y+tsQO1vg0zM4ToDqDFDlE4shM10oqtaRKCKNH9yy9wvBRNaNV7MCwLW6CO3L6tiDYHjvEz0XMpcjufrIrZtjV2EFn/OfR4N6Xu3Ri5DLbmSYCEmR1kYONPquYuetGnq54NKMsISjJWPkPh8Mtlne3GDgRBoPemb1XJFwZPv5J89x4cjZPKUoWSjOKLYIoiViGPvXkShYM7MEt5HG2zyHftRg3UMbjxvytvLMpE3nMdlmlgdL9U3q1vmYYVaUcTndhLMYye3RS7XykvVBo7KdiqQ5teL6oKSnw/+f3bMAvZ8iIz1EbuJCYfvxFqerzvHGpz/c6hNtdlajrbfyFcuYP0/+F7I7u8SQSiF30awtPfYsvePESnF8kdGJFqO4rkOXGCVREbBDqxLZ2BaRpkNRO0k7cYktwBem/8BqLNjWvKYlJP34meSVB/+VfH7G8qbgRTp/+W60Zdw0/06m/iCEbpu/k7I9UXBcVG9OLPoA31l+d6WH0kKYhEL/o0ktNL7I4fVuwWh9a8F1vrdAbv+SnFUdrI3gXn4J6+EkGxkxi1a+sYPxN5Zh0DG/8bLRkjsPIKsvteIPHw76i79F8wYgfov+06jjq3otNL3WVfxtMxn75bvjuyyytICnXrP4s5siN7DFvTJMBiYOOPEfz1uCbMInbPTwksW4+jcxHd//1JHONm4ll0Dv0P/hZhqJf6q/6Z7AsPkHrubmRvmOzLT6DWTyC09v3YGiZSPC6uWXIHKB18kb77f4lr1ulo/TGST95O+Py/x948ucrZtrdOxcwOEbv9uor3KXLuR5HGOJWQfVEkdxBBUiqSEQVZRfJFyL70OKln/ozsi5Dd+SRKsJHw2R/G1thO4eD2ymt5wsjuQeIPXF9+d00DI5skuPq9KA319N9+HZI7gKg6SG/ZROS8j40ZsmFr6gCbg6Iuw7ilSG3LKA0v9AXB4PpHB3joBYOOljnsfyrJrIm9XHNOAEF8Y0WgjlIqQcndhjpvAqIoky9Ul3uvUaNGjRp/eWoJkicJa/8z5PdUSsXpyRj+yQsocXL+mAIooolDG0QWTfS3OL7Ssrlw17eQ2/t8OT5WEAmccglS83S0/8U2wzBPeOLwRhIuLKcPVzCKe/bp2Osn4OhYUC4KEpmGSXU8stNKE7/nZwTO/Sj+RefhnXcWWjqOvXU6qc1/RBs4fKyzaSCqDpRgI5ZWJHLOh/HMWY0UHk/2hfuRvWEyLz5Ucf1S7z5ckxcy9OhNFe3F3n24Zqwkft8vGb0rrA/14epcghKop3j4JfK7nsJI9OKZsxpH+3Ti9/8K7ymXEVh+Md45a9CyCdRAA9mXHqfUO0pNwzJBFHFNXYGeHhgpLiP7IgROuxIj3kOxdx/h1e9G8QZxtM8jsekXuKYsQw03k96yieyLDyEUs+U4aEVl8J7/AdMoLzJMAyM1gGPcTJztc8nv3zoSauGZsxpb20xELEythOqPliUVfWFsdRMRJBkjl8RIDQLliozOiXMxS4Wqao3aYDeu6aciOT3lEwYsBJuT8JnvRZBsKP4IhSM7wTIRJAX/ig3InnC5eI2pl201dIxMAkfbTBwTZpPfvw2rVN7dds9YiW3cdGzRcRS7XkEf6sPSithbp+GavYri4ZfLc9gxD8Vfj5EdwkgnsNWXn+NoqXjJ5cc7/2xUt5uSUNa7Hv29k0hm+K8/7kY3TPoTeUq6yeFYjqVTQ7icJ3fn2TAYSTZ+O1FLpHrnUJvrdw61uS5TS5D8C6CqoBerK6OZhSxYRThJx7iuUh/pZ+4g/vJmZF+YwKnvQqubhmGOpfr75qNpQP0M6i79MkZqAMnlw/A2kDPfutAZTQNXoI7EIzdSPLIbW0M7gVMvJztG4RsATJ3QuR8h+8KDxLc/gujwEDjlUkTBqirhDmAW0qjhJuwNE+m7+duYpQLeOavwn3YFWt/BMfrnxo61NQ2sQqZaJ5rye5N45CY8M09HGE5wy+15HkvXCK2+hsyOR+m9938Q7a6ycxluwRjDViOXRk/1419xKZ6Zp2NqReRAHbEn78S3cC3+pRcRu/37aEP9OCfNp+7SL4FWQg41UX/ZlzAyCSRPiFIxj6iVKqT3jmLpJYRIA9H1w5rWNheCJ4xZyqEnB1DrxpN6fhOiase36DyMQprikZ3InhDOFZdgYaEnB8hsf7RcOn2MsUAvoiV6ia77BGYpj6DYiT/4G4KnXUn6hQfwL7mgPMaCQHrLJtSGiRUyiyO2aiUGH/054XM+ilnIICo2SoleSrEutNbFhNZ9CiPRgyhK4G8gL/sRVQfeuWeS3nIvplbEM2MlgurCyMTRkwNlfWzTwCoVSDx6E/WXfmnMb9XSCXISSqW3n1Nco0aNGjVOLjVn+yRQKoGzpZPkk5Uay+7Zp1NU/XASFn2qaJB66nZyL5cTrPREL7Hbr6Pusq+Q87S98Ru8TjTNRHM0g6O53PAW+w5uPUb/HT/ESJWLvBS7dxP7079Tt+ELpJW6qv6Wt57cI78lvfU+AIz0IAN3/Rd16z+He8bKikRBAOekRRQPbmfw3p+NtCWfvhPB5sLeOrUqrME98zSwOcsLkeFS6gC2lilI/jrUhokV2suSJ4gSqMfZPo/kKAk+QbFheaPkNt9K+rm7y7ZmSgxu/AnRiz+De+oy8nueqxyLqcuwBOj+2T9UOPWBlVeg6EV6b79uxIHO7dyMpWsEVr2HgV99oWKhIQcaqNvw+arESdHpRQ41knr0D2RfeuzYjQWRusu+gqDYSD3xh7KtWoH4AzcQvfBaHBPmELv9OkaXAAqv/SCi3VmleOKeeRqCN0h+39aKqp3OSQvL+tuCyNCo6pJKqAnZHcQxcS75vc8fs9XuQvbX4Zy8lL6bRuUZiBKRK/4ZDchKQQiPCoEyLRRPkIH7fznSlHruHvynXYUcaqLQvbuibLp3wTnonigcy08cIRJw0VbvZn9vZqStLuCgLvzqyYs1atSoUeOvn1oYyUlCsntwt3aUq+updnyLL8A2bjoFThww/1qwlwZJHBdyABb2pg4Mf+tJucdbjWpmkBIHMBLdiLIyUjLaYwwgDe5FShzELpsILj+GAW4zjpQ4gDS4F7uoIdldWIOHyAw7zkexSgXsbTORXFHsmQOI/btQtSR2mwTFNIkHfz1KbWLYlkgrtpbZ2Opa0IdiyO4AgdOuRKmfSG7nk4TPfD/2cdNxts/Du+QCipKKGmrA2ToFI5csFyaZvRol2oKlG7inr8AsZrE0DVfnUnyLz8dMx3F1LkEQJcxcCsfEOQROvwo9P4R9yul4Js0rV8CccSqehecjGgWGHvwtZrGyUqXsiyKFm3G0TkVPxpBcXgIrLwdBxDFxHra68eVKlrIN3+J1KONnoscOVYc9xXtxT12Ks3MZ7s7FZfnA+WdhGz8LSjls9W2INhdmLo2tdSrBUy5FtDvRhvoInnYl9uayrd4FZ2PmU6Se3VhRcAbKajGWruOcMAsjl0R0ePDNX4uWy4Cp4WybiVnMI8gKnlmnYRbzqKFmXJMW4exYgKNtJt55axFcPjAsXNOWYm/pRK2fiHvGyrIudzoBpoEaasTMZ7A1TcI76wxMQ0caPxebx4+e7EeJjCN81gcoeFsBAWcphhjbjZLrR7GpoLrIvXg/em9lsRszn0Kdez6ecVMwMvHyXM87q6w2Yo39eRdEiXkdfizTJJk3WNQZ4n3nTsbpcP6fPx9/7dSOm9851Ob6nUNtrsvUwkj+QhSwQWQmoXUTwdQoqn6yJ/H9syS1nIyYHqxoF2x/G3+sbVqC5J3XocUOAeUY2ODFX0AWTOKP/I7C/m1AWT4uetGnUT0hMs9tLOscAwgikXM/gugJjakHLdqcmP0v0PunH4zs5rpnrMS79CJkT4jScU6h6HCzP6tw10sh3n/etVgm/ODebq4IOaiftpyBP/+IUv+B4b4eohd+GgmR3tuuwzt/Lc6OBWR2PIr50uOE13+W3IsP4Zl7JqLDTaH/MKXYYdS26ZT2bKVw5OVhtZEu8nuexzF9OWbvLvr/eN2IVrSzczH+U69C8oYqKk5COaGz0P0KuW0PETz1CgDiD/0W54TZ2DqXknzmz9jbZiLa3WRfepRgw0SsMd4byeUFxU5h75MkH791uFUguPo9KB1z6f3Jtdhap+FdeC6l2EH6fv8dGt73PZzjptN34zdGQjcc7XPxr7wCxR+tjHkHZG8Es5gl8fjtOCbORhBlhjb/CdfkRYj+EAOb/gfHhFko/iiZ7Y8guQO4F6wl89zGYxKGokTk3I8i+gLkX3qc5KhiMf6lF2Jvn0/qubuRXP7yuA71MXjfL4lc/BnETC9DL9yPvWkSRj5N8uk78J72d4ilHLHbv4eRKRfhUUJNBM/9OAVPdalzy1OHYUkUA5MJnv1xMPIYrijZ3BhlGkfhdrm47MxO1pc0FEXlJEnL16hRo0aNtzlvTbDv3zBp00Ua/0nX2S7IPoKnXQGjkvzUhnbE0PiTe6O3AEEA4/B2tNghGq76Zxrf+z0MvUj+xQfQ4l0jjjaApRVIPHIj5lDfMUcbwDIZvP96RHcQ7/y1Fdf3zFmD6IsSv+9XFXHHmRcfRh/qI7B8fbkc+DBKsBE1Mo6Ht/bwyNZurvq3LVx93RY27+gjnSlR7N4z4mhDuRJg6vm7sSQZNdqKHGrE1jIFLAisvAwrEyf1zF0UDu9CECQK+7cSf+AGSA8Rf+AGtNhhMtsfpti9h+STt0M6QfyB61EbOmi85rsE17y3HOaRieNffAGMKtwj+6LYGibiapmOVcwS++P3if3x+1jFLK4pSzDj3RQP7UCLHUIf7KYU6yK5+U/IwUZszZMrximw8nKsQpbk438Y1WqRePDXkIrjX3YxhX1biN/3CzIvPIBz8kIEUSb+4G8qYqTze55Hjx3GOXUpgnxspS95giihRtToOATVjiCrZVUPUcAxcQ5KZBxKsIH83i1kdjyKkc/gX7YBIxmr0ArHNIg/cD1oRZJP3VHxDEOb78ASFQKnXIqe6CmP65GdOCbMRvI3MvTITehDfWR2PEp+31YK+1+AXILMiw+MONoA2mAXpYPbsLfNRXQdq6goyCqu+eegD79GadNBWgiS+18c7ZHRNEVsdgfWGMm6NWrUqFHjb5PazvZfCaYJev1sopd+CT3ejWh3IYbHk1dOLLP314IoCojBeuo2fJ7k03dh6UWiaz8ETn/VET6ANtBVDtU4DjOXwkgP4px5OrbmyRjpOJI7iBRqwsokqiQKAczkAJogUHfJF9Hj3QiyihJuJr//RTyuKVX921oCFPZ1V9vUfwj0AsHTryL70uPkXnocz6zTkAMN6PFeGq76Z3K7niZ+3y9wtM3CP38tZi41RiKfhZFNEj7v42i9e4nf9yuUUBP17/oaliCQ6d1ftnWwC0FWUMIt5PZvQQyPJ7r+s2gDXWBZKJFmCslBXOFmohd/huzOJ9GT/YTXvAdtKIY22EXgjHejD3ZhFrMo/npEpxc90cPxmtmWXsLMZ5Cj44le/JlyqIrTh+SLQKkwonRy/Fxkdj6Jf9lFWKaBIIiYWglTy1PqP0J47YfIbH8Ys5gnsvZDFGNHQBAJnf0h9MFuTL2EEmgg1/0KNre/6vpGZqgconJ8gqmpo+eyCBOWEN3QgD7Ui+j0IYbGYVkWpeN22gFEAUp9B6raS/0HsU1bi/fiL6PHDmKZOnK4FcvTAK9Du9+mD6EfeJ7cK89ia5uFbeLCN600eo0aNWrUePtQc7b/itCR0H3t4KuuzvjXjGFY2DDpu+W7I85Tfu8WIus+gRyojkd3TJyN7I9WhYso4WZkT4AUAYiEIAJHUxU9Lhm1bvxxTpWAHKij8OLD9B1XoCR64bUoxeqPxyNbuljR1EF6y72VNrXPBXeI/l99cUR/u3BwO/5lF+OYuYrYjf807MhC4dBLOCctxL98fZVOuSCryP4ouV1PkXz6juH+O8ju2kzd5V9BzMTp+90/Vdq67pNYlkHvr7/GaEc5csGnMGKHiN3+/ZGkzfz+Fwid+X6UQB19v/92RUy1d8E5uKYuKydjjophl9x+JG+Ywdv+rUJDHFGm4QPX4Rg/k/z+rRU2SYEo9saOCg1xgPC6T2Kvb6Pv1n89Ntd7niN6wadAddB7w1cq+rumr0Runlw112p0HJI3Ug4PGqUEJNrdCO7gsJ775PJ/R39HMnBMmFNRxRHAEgScHfMo9e6raHeMn0FRM8AeQmgJITCc//s6HG2FEpmHfklhX3mcCodfQn3laTzn/gMl4e1RdKZGjRo1arw51BIka7xpuEkipw5jM3NYTh/mCWJUnU6F3Ja7KR1XGMXMpfHMX1vWWO56BUwdW0sngeUbMJw+nA0TKBzeiaWXUEJNhM58H5YuoqtubEYGOT+ALJVLshex42tto9izDzOXRLS7Ca25BikyHlukGX2oHz3ZjyCrBJavx9YyBZ/XQ06zONyXRhQF1iwax8oZITwuB5LNSbF3L1gmjo75eOesonRgG7mdmyueodh3AM+UJSQ331bRrg124ZxzJq7xMyh07cYsZJHcfsJrP4gQaCJ+139WhLxYWhF7QzuOthkYqTj6UC+CpOBbcgH28TPJbL1vJN79KJLNjaUV8K16N+6py3BNXYZv6YUk7v8VSqiszT2aUv9BXHPW4Bw3tTyupQKyL1oume6J4myZTLF7N2Y+g+j0El77AUzZjrO1Ey12GCMdR1AdBE99F2J9O7ZgHUYuhR7vBknGt/AcXB0LSL9wf5VjaxZzOCbOQ3K4KPXuB9PA3jIVR+sUhPpOHHWtx+Y60kJozTXkHM142qZQPLgdq5RH8oYJnfcJSs56AFQzh5yLIYsGluxANwU89c1o8S6M1ACCYiNwymVY9dNQfRGsYhZt4AiIEp65Z6G0L0YX7UiCiVocRNbTiLINE4nXipLtJfXIbyvajEwC16QFGLbqnfu/FIoi4sx3I2d6sCkmJfHNU0epJVK9c6jN9TuH2lyXqSVI1nhLcOePMLjpZ5R69yPIKv6lF+KYvIy84K3qa1mUA7ePRxCxRBFx+mrqWqeCXkJ0h0njwd77PIZVDv8wizkkt5/ue39J/amXYRvaS/zOH2BkhxCdXoLnfJxScBJY4rBDXiw7TaUCliUgWBbBsz6AmR4EScFwe6FUwv7kT/jA2R/hnMUtCCI0BWSEVB/5g9txLDgH56QF5RAJd4j4Hf9RlvmregaBscNzBQRJxhJFgmvei2CZIMmYhoFglsYej2ECq67Gl1uHIMgYioogCFhjrGQsy8Q2YS75bQ+SfGbjyGIldPaH0eM9Y15bMDRK6QTR9Z/DLGSQnF6S2x7CIyvE7rue6AXXYuZSSHYnya0P4BQELE+I4Dkfw8oMlnXBPREMrUjG1oR/1TX4Fp2HIIhYviZKkm3shxJELL1IdudmvAvORpAUSr37SD13D8H2RQg2B6E17wWBclVMS8SyLIq+Cfgv/SeEYhrL5qEoubAssOe7SdzxH+VFic1JcM370Btmk7XV4137CcRsP8g2Co46dBNKqgPnKe/BM+9sEEU0Vz0FQ0Qxc2gv/JmhZ/9cXli1z8d1ypUU5dfqIJ9oPt+62G0FE+nwc/Rt+gVmPoPkCRE++4MUApNOuDCuUaNGjRqvnZqzXeOk4xKKDD15W3mHknLMb+KRm4iGW8YsX5/Pazgnzi0nPI7azfXMXU3RUimVdEr2porfUYJNJG7/fySG+iAYhvgAnllngOpg8OZvjYRymLkUg3/8Nxqu/haxe39atftbf9mXSW17sLzLG6mDWDlMInrBp/DMXkX/jz6ADRUoERNE6tZ/DlvdeHp/9NERpRCA0NoPooSbER2eCo1q38JzweVHCTVVxDa7pi5B1Iv0/am8KDiKIKvUX/ZlvPPXlpMlh5FcfuRwM5kXHiD9wv0wbBNA5Py/xz19xXB4xNFjHAHnpPkYg10VSYTFwzvJbHsA97JLkNz+iqRA7/yzEFxecjseZWjTz0faHZMWIboj2CPN9Pz8M6PmoBHvvLNI3P8rCgeOJbECRNd/FoJTyRhOcI4rN5YANFyTF5UTHkeFhXhmrypXpcylKp47cPpVCJmBihL1QHl3+8LPkrU85d1Yx/COrAWqVWBo43+iD/WWm4o5Bu/8IeErv0XRUU8BO7iGw5NGOZVFSwHnsF788Gso9L9C+pk7R/rk9zyLWj8Bcfo5J6yAOhamK4KjfX6F3KLa1Inlif6fr3GyUXOH6b3rRyPvsZEeZODPPya64Qtk5GoVlho1atSo8fqoOds1TjpCKVmhIHIUPRmDcHV/l8tGaUCnbv3nyL78BGapgHvacrA5UYxsOf72ONJqHZF1n0Qb7MLIDaH465F8DZTSyRFH+yhWqYCZT1U52gD6UD/OUy7DPeNUtIEjiKodJdJCvr8H+/gZ1L/ra5T6DyEIImq0FSHSSuaJ2wie+i5KvfswtQL25ink92/F1jKb6EX/QG7XU2iJXlyTF6LUt6Md2Eb47A+R27eVUs9eHG0zUZsmYaQHKxxtKC9M9GQM5+TFyL4ouVeeQQk14exYgKC4IdRC/WVfphQ7gqCoqJFWcvt3YOucT92Gz5HZ8Rhg4Z66HKuujdJzG6ueOb9vK5555xA5/xPk9zxPafAIzo75CKoTK5PAf+YH0fY9X5YkHD8LuXUmerIPz7wzsTVOJL/vBdSGiTgnzMbKDVE48OIY4xqDE+Tuav5J1F3yObLbH8c0dNzTl2MFJ6AdeJ7A8vWUBo5g5JLYmzspHNmF5PBwfNKmFjsM2Ti4PFXXF4qpcqJoxcCamKl+cNSPbdQYiKJA8fCOqvbcrs14pq3BfA1fnxoKrlOuxt42m8K+LdjGzUAeN4viWxivrSdjFQtGACMdL5/wBGrOdo0aNWqcLGrOdo2Tj+pEjbZS7KlUEpFcPrQxuhcKRYR4F30P/YbI+s8i2Vz0/uZbuGctw7HyahhDVc2tx0g8/NsKRy9w6ruwz1hVlsYb7USIEoLNheQJYqTjFdcRw+3Qf4C+264b2WmV/XWEz/s4DHXRd+t3R5IFRbub6KWfR/YGiW/6BUqwAUGxEX/lOZydi0noIt+5pY+ls5fTOTfAD3//An+3xmBOwE/PDV/BPXs1viUXEH/0FvTHbqHu0i8iKHYsrTDKIgHJ7Sf2x3/HaplG0/rPoSUH6Pnxx2j64A9whurovfnbIycAkidEdN0nyL3yNMmHb6L+6m8C0Hv9l/AtvwolUO1cqnXjER0OYht/BFio4WYSD/yGwKmXg30i2c23k3/lGRR/lKHHbsYzL4Nz0kL6b/w6UrCJwJJ1ZHc/Rc8NX6H+qm+iRsdVSCGW7QqMOdcAGgKabzKu1TNwuWzEYuWTANXlZfC2nyD7oogON4lHbsLeMhXR6au6huQJgu0E8cWqE8nlr1rIiM7XFvphmhZKtLo6q62pE+N1fHUWZS/ChOXYO07BMEyKb3EuieTyUw5jOWaIoDoQnNWhXjVq1KhR4/VT09mu8YaRRROnkcQmlMMaMpabwMrLEdRju3aOjvlIoZby/zsE3FYcD2VnyDDA3joVNTqO2C3fpfc3/4jkceOZcSqFQvX9AIxED4UDu6i76hs0vuc7BM/9GEOP34o11IV/yYVl9QoABPyLzwdZIbTqPQiSMnINz5zVSE6lXO57VEiDPtSH1n+A9LbtFaocZiFD7qUnURs7sDV2oMV7KPUdQHJ58c49k31H4hyJ5VCNHMV4LyG/jf/ZuBe89fiWXEhm6yZ6f/M1SkdeJrjq3VieBoJnXDXKVvAv34DgDhJc9XeYLz3CoX+5jJ4ffwz39FOwEBh64o8VoTZGepBiz14c45eiBBvovf5L9F7/JeRAA462SSjR8dhbp470F51efIvOp3R4F6WePZR69pJ58WHMUo7EY7/H0gpktz2AmU9T7NmLVcyRevIPmKJKcNV70Hr30n/rv5J98RF8Sy7AtHvxzF2DoNpH7uHsmI+oHPv3iahKqgmOx9GxED3ZT6l3H6Jqx7PiMvA14pmz5lg/SSZ4xrsp2MY4JgFKkpvAWR8C8ZhD7Fl8IYan4X+16XikpimojR3H/u0J4Zi16vUIkgDl/ARdN98eSdveBnzLLjr2b0EktOrv0L1/GxVpa9SoUePtgmBZb4uv/TeNwcHMa4qtrPHacBZ7yW65h/ze51HCLfiWXUzB24Yogj1zBC3Ri6g6EAKN5MQAbq2fwoFtpJ+/B0FW8S1eh9Q0hRwePEYMPd6DZRjIoUYySt0J72tL7UUWYOiJP6ANHMExYQ6eOauwdI3Be3+Oe+oyLENDkBSyO58kuOa9pPdswTNxFvpQP5LTgyXbkO1uDjJeyQAAIABJREFU+m7+Jka2Urc7sPJy8nYPhXt+Uvm8kxcTOO0KzFIJI9GNaegowUayvfvZJ06gwzZI7qnb0FMxnJ3L6A/PI1AXxS8XsNJxjOwQsi+C4A1jDHZhKXYkLLRkuSS8YPdgDPVQrJ+DI9eFMdSH6HBj+ppQKdL/+3+plN8DfEsuRJm/DiXbX1b+sCzkYBMZpRwP7NZjGEN9mFoRJdRARm1EPbyZwY0/rhxUQaT+yn+i94YvV413+Ip/RvM0Yc92YST7EV1+DE8ToqlRevlB1GAjemoAQXUguwPoFmh1M//X9ycS8YzsbIuChT1zCK1vP5ZWQA42Y4baKIku7GQQh7owcilkfx0FTxOGcWJVEEGwUAsDWKkYgsOL4YqiCyfOFH81VDOHkOrBMnQEfwNF6W9n59dBGiHZi5EZQvaF0TyNlKwTJLG+QUbPdY2/bWpz/c6hNtdlRFEgFHKf8Oe1MJIarxu7UCT50K8pHNwOgJFNUurdR+Syr5Kz1ZOxN0ND80h/UYTikZfLFQmHGbjrv4he9A8Qnk5aikAk8n/68CqKjd6bv4U1rLGcefEh9HSc0JkfwNKKJB45pu8seYKIbj9m3z56R0nwCbJK/Yf/G/e0FSSfvnPU1QXU6DjE5ADHb6y7Ji1Aix2m/9Z/rWgPnn4lU6I5Yjf/PzDLISzpZ+8iMquAu/1S+n/2hYrESVvjJILnfJiB2/6tLDd3dIycXuou+QIFC3KOJnAcSwxV3D7c01eUd+JHYWvqIF+EohyFaHXCXUaOQLgcg3t0n14J1FWF2zg75iO6gohOb4X+thJuxnKFMS2RnLMFnC3HfqaqmLkUsSdGVZ0UZeou+/IJw0hOhJruou93X684ZfAtvxRx+tkUTDf4J4N/+BmME14GAMsSKNrK79MbpSQ6wT/xDV/n7UgeD/g84Bse19q+RI0aNWqcdGrOdo3XjZjpQ4yMp37FJRjJGKLLh1EsYMS7kJrrceS60Yf6EG0OBF8DomRnYPsjVdfJ7X0e34S5mIlujKE+0jEDd6CejHxipQYt3j3iaB+lcGAbRnqAyLkfJfHErRSP7MbW2I5/+XrMUg7/iksQHR5ye55FCTYQOOUyBNHEOWMlzilL0Yf6EVUbgjsIqgPV6aXxPd9BS/QjiGK5YqJpkHvl2Sp70tsexjvPMeJoHyWz/WG8c1cTOvsjSIqCkU0ieSNkunZjpgcJr/s0ViGFkRpAcvvB5ScnhxABe74XI9mHaHdjehvJZBy4Js7Hp5VIv/AAot1VLowTLB/7u42BEUk/OVD/qooSWi5N9Py/Z+jxW9GG+nFNXoCzfQFWPkn44i+QevS3FLtewd42E8+SDeRPkMgnaVkSLz5c2WjqaMkBcI8/4f3HQo8dqKoImX5+I4HOU95U/ecaNWrUqFHjzaTmbNd4/Tj9uJon0XfjN4bLjgv4ll6IvXMJcnIffbddN7Kb65q6HP/pVyM5qo/gJZcfM/3/27vzKKnKO//j73trr65eqnpvGml2QUSBVtCISqOCgmIy7iP5zc89iYpmTEaNxi1mQsg45iCKeoxjMpM4yS8MM+6oGHcTiDgBUVlEaO2m962qa6/7+6OgpOgGZWmabj6vcziHunXr3u+t59Ttbz31PN+nhdYXHyP6xQYgnSwWz/0eQc/QHvsDmI6eP3UbdifY7NT/5g5KL78Pmz1dt3r7b+6l/KqfkupuJf+UC8mfei6W3U1o0zv48suwwiGa/vvBzIQ675gTyT/pfKxkkuZnl2RK9jnLRlJ41v/FdPdM/Gw5eRh2R8/tHh+Ww02i6TOa3vg9YGHYHBTN+Q5mcRXxLWtofuHRdA+zYeI//TKcY07BbK+lcfm/Zr5Q5E4+C9fk8wi5ynCd+C1KjzkFbHa6bQGiKfBFPqflxceJNW4FwFF8FEWzryXoGdIjJgAzEadxxeP4T/4W9txCQhtX0/zCo5ReehdhVzHes27El4yQtHsJW3sermFhw/T4slbBTLfFvg9F2HWMf+b9y8nHMnWbEhGRgUsTJKUHpzNdju+rmIkIrS//akeiDWDR8c4yCLXR9vp/Zg2bCK1/i1jth+RVn501cc105+AZPpHoplWZRBsg0bad4Lo3cTrTi364XCY+35cx2fzluCq/XIobIH/aPIxAKb6JMwhuXoMtMIRw7cd4x1VjAC0rnqTut/cSa6un/e3f0/naf2KZBu3vLsuqXNG94S/EW+vo/uS9rNrYse2bCW9dh6tqIqZnl5JzhkneCXNxFFbiCFRkxVQw/WKszhbadiTaAFYyTsvLv4LORlpW/OrLoRxWirY//RZbZx2tr/xbVs991/srMNvTpQujUQjaSwgaAVIpcDpNujevySTaAPGmbXRv/itOZ++Jslk8FEd+CW1/+i1Nzyym++N3KTjlAiI7SuPFcRC15ZLYS6INELN5KZjxf7K2OQorMQr3fZKdWTIi/etBhkH+9MuI91L6UUREZKBQl5FkyYnUEvloLZGWz/FUHYejtGqPExVT4c4e5dUAEl2tPZbjBkgG27FVjqHsoluJ1n+KYbfjLBsBJWOIrnmlx/7Ruo34UhEcoXrCf/uAcGcz3lGTsZdUEW/4lMDMbxNvrCXe2YSr+ChsgSEkt31M7qSziH7xCS0vPJJe4vyEuaTCQYrm3Uii+QvCG/6Cq7CS/Mvvg1i411gT7Y3Ed5s0CRCr34y3eh6l37qFSN0mrEQUV/kojIKhxLasouic7xBr2koy1IGztIpkLEyyq4XdB8OmwkFSoXasWDj7BFaKZLAtK8nf9X3trXa1x+Oi5YuNPd+/LzaQ+w0nsd3PAXQ7Sig857vEGz8l2dWKs6QKq2gEkcRXDIbejWVBsvxYii65m0TDZkxvAWbpSKL2nuX6vkrU4cf/zdtINW4mFQliLx1JPK9S44hFRGRAU7ItGb5YPU3/vZhERyMAofXvkD9tHu4Tv9lrCT6brwB7fnF6cYwMA0d+Ce6jjiG85YOs/e35RaTqP6Vx2b/gLBtBLNqN0dlCyWV34h56NKH1b2Xt76k6FqurgcZl/5LpJQ+tf4vAmVfgGjmF5j/8lHhXC84hR9Px9h/JnTKb3BO/SduKRwlvfh+A7o/exT1sAoG5NxJa/UzWaor2ta9TcumduIdNoPvj97LO7QxUYKWS7J6muoeOJ9X0KQ3/eT+WlcIwbVjxKMXzbsKWX0L9v98JDi+O4kra3/oDrqHj8E+/KF3eb5fxyOlJmz0nI2KzY8svwlk+ilj9pt3ev9JeJx2Gw2HcVccS3m0VR0/VRMLhnon2TiFXGQwtwzQhfADLcyexkcyrwsivInmAiXHUGYDKwI7jokRbREQGPA0jkYxE8xeZRHunztUvYOuo63X/LrOIwtnXpCf2kR4zXXjWFaTyysk/5Vs4CneMFzZt5J90Pjb/EDpXvwSQ7k1u246VjGN6CnCWDKfw4jso+/b9lM//CaV/fw+eMScSb6rNGo4C0PHecoxEON37G4sQ25HUd615BaurIZNo7xTZuo5UZyOdq1/Mvt72BuKff0z+CXNwFO8Y9mCY5FWfg1lYgXfkZNxVX5av846diqvyaMKb308PnUkmMnW4O1c9h61oKAWnXADJGPG6Ddj95fhP+3uSuRUUzr4aY0ftaVtOPkWzryGeW0bR2ddi7lhExHB6KJp9DTHvUQRq5mPP3zFB1GbHf9plJAt6H78ei4F72DF4Rk3JbPOMnIyragKxWK8vyZI6gER7V4O7iKiIiMj+Uc+2ZFhWz6zLSiUx9pJFRfyjKbno9nQ1DW8usbyhhGPgM2wUnXsjyVArptMDdjeG3Y6V7Jn9mXYHKQMS29bRuup5rGQC34RTyZ10ZnrFm91jSiawetlOKsmeysYbVgor1cuxUimCnqGUfPNm4u2NmA4XRn4ZwYQb7OA/62pSHdvBMDHyy4jYciHxbi8xxTENcJSNpOT8BVjxGNjsGKaNiOXCMeIkSi8ZSircid1XSNRXSiwKjrJjKL3odpLBVkxvPvG8YcRjCeI5wyi84EdYXY0Y7hxi3jJiqT1/Nw66KvDX/AP5J5yDZVnY8krpoudS5iIiInJoKdmWDEdhBaYnN6sn2TfhNFK+0l6XTId0r2jQXgKBHb2wMchxxuh48zm6P3ona9/SC/6J3OPPyJoIiWGSaKol2d1Ox7vLM5uDa/+E3V+Ke+w0DIcrayXHvCmzwVuAzefPqoLhHXcSpq8YV/koorsMwXCWDMPIL8Q34VSCa/+U2W5687AHKogCnfihwJ9+YpdrDe6sQwzpIQ2JFN5hx6Trcu/y5SR38iziHU00/b+FWdfsGTUF/xnX0BV3EfdUws6CGzu+c8TjEHeWQWDHsuqxL0/ebcuHgh1jn79G73MXuZCrBFtERORwYrv77rvv7u8g+lI4HNPP219TzJ6Hf1R6aW/DZiNv8iy8406m29y3yW6uSDPtr/1H1rLiAK7yUdhLqvAOG08q3IWjaCiBmd/GUTqc0AevEGvalrV/KtpNzsQZeIdPwErEMJ0e8qfNwzXsWBJNW8k99nQwTQzTJHfSmfiOmY4V7sA7uhqbKwcrlSRn3MnknXQeVjiEq2I0jvwSrFgYz/Dj8J9+KfGudoyCUjydWzDqP8Te3YjHbRKz9b4SlNvtIN6wibzjakhFu7Hl5OOffiGmO4dU23bCn2aPU0+0NZA74Rt7PN6RKidah7F9PdH6TbidBil3nj6ng1xOjovu7q8xrkkGPLX1kUNtnWYYBl7vnlcpVs+2ZAnlVOGtuRKHFSOSshHaj8+Q4XDjCJRnlaIDML25GIkYze89S+mca7HicZqfWUrxhbdgL+xZD9pZVEnC5iKcO4q8s0Zhtyy64gahFHgd7Wz/j7vwn/Nd8ibPonPNKzT8/p8pvezHBO0l5E6/hJxIN4Ynh87OGL54I42/vx/3iEkUzr6GcPMXbP+Puyn55j9ib/qE7csWZUrwOYqPovCc6wi5KnrEFInEcYQ7aXzuUQrnXIPp9tL60pM4y4fjO/rkHvvbC0rBqdJ1u/KFt9H4X/+a+VXCdOdQ8q1bCPmG93NkIiIiB5+S7UHCNCGHCJgGXYns5M7niEDKIJj8eklfOJwkzN7rK+9NF/n4T7uUxmX/gpVM189wDR2Ho7CSjneXYzV9xvZ/uy2zf2Tjn/EMm0CwfCTFs64Cw0bbq7/GN7Em0zkeigAYmdcYNgc5R59E2/MPk07ZDPynX5au+gHEYnEc8TBxW3qhmWReKYGa+TQ9+zChHUNJco6ehsNfRtMLS7OWLY83bSPRuBWG9ky2AZyVR+MoLKXluYcBMF1e8k+Yg+Hy4K6aSGRnVRDTTmDG5XTh3+/3crDxek26167JGv6TioQIrn2dnJkj6e4+SLM1RUREDhNKtgeBnGQz8a0f0/zBq5guL3knnEOqaBSmFcdq2ETr6ufBSpE7eRa2stF0mwV9HlO06GhKL/kR8ZZ6TJcHe2EFpjuPRPv2Hvsm2hqwRlUTmDYvvZhLIk7epDPBbsduRaGXRU0Snc1YiRj+0y7BSsQx7E6C617HVT4anyNCcNUbdGz7EHfl0fgmnk6QoXgqjqX04h+RaN+OzZOHzV+enpiZVbowLdlLje2dQu4hFJ13I4nmz7GSCRyFQ4jkVpJIQMHM+SRb6khFunEEyoj5j6LXen1HKKfTSdeOJeV3FW+tw9HLBF0REZGBTsn2AGezQWzLh7S+/GRmW6T2I0ov+CesRIym/34wsz1at4nic2+A8im9HeqgSibTQ1LIqcps8zgMcsZOI9bwWda+nqpjsTqaaPyvBzLbml94lKJzvkMqt/dyd/ZAOeEtf6N7018z25xlIzBycml5ZnHmHPGWL4h8/jHF599Ml60I8kam/+3gckHO2Gl0rVmRdXxH8dA9zQkFSC/0U55e7CcKmUmVIVsxlKRXQYyBEu3dtLdH8I6cRPcn2XXNc8ZOI6T3SkREBiEl2wOcNxWk6YPdVl+0UpjePDr+8kyP/bvWvo5/9IkEg/u2UqDDkcTVWUcy2I6ZGyDsHbLP9ZnDYYucEcdRMfoEEh2NGDYbttwiDG8+na//tmes//sqRSOrcRkxrM56UrFubAWlBG3FRHKPovj8m2h99dck2htwHzWegtMuI9ne2COZj7d8QaK9AQqLepwjGgXfxNNJRbsJffQOpseXXoRmP5Yb3x+GYeCMtWJ1t2N68oi6AliW8dUvHMAcZSMo+MYFdKx6FlIpciediWvYeIJ7+3YzgJiGhSPSghXpwsgJEHPka/KniMgRTMn2QGeamDsWS9lVKhnH5vT03N3lId3sXz/ZdpLC+OyvbF/xBFY8iuF0U3T2tdhGVBMK7VvSbqSSNL+4JLNEumd0NQVnXoHh6iVWpwdIEly1nK73VwAW9vwSis/9HkHvMMKFx1B0wa0Y8TApt5+Q5cEb67lsOYBh7nkMetBVga/m2+SdOAdMG1FPGeF43w9pMAwDZ8vHtDzzS6xoN4bdiX/2dSSHTCI1iBPuoL0Y1+S5lI2pBgtSBWUEu/s7qoPDJInts7/Q/MoTkExgenwUzvtHovnDlXCLiByhtILkANeV9JI39VyyJg86PRipJDnjTgLbLt+nDJPc42oIBqM9D7QXju7PaXnx8UytaysWofmFx6Bl61e8MpvLBcH1b2cSbYDwxtXENv0V78hJGPZdyuYYJrlTZhGv/Yiu919i57rdiY5G2t7+Iz4jnZ2FTD9BVwXdVjpZN/NL8Y6dmnVez8hJmP7yvcbWHXMSdJYTtJcQPwSJNoAz3kHrc4uxoulrsRIxWp9/GGek+ZCcvz9FoxB0lOEZMpruQZJoAzjCjbS+9Fhmwm0qHKT1ucU4kqF+jkxERPqLerYHAaNkNKUX/hPdW/4X0+XFM2wC8cBwEgkovfC2dHWMVBL38OOI54/a5+Mnu1ozVUV2smJhUsE2cFd+7eO44t10blvfY3u0biOe486g9MJbCX+2FisRwzN8Ikl/FcmNb/Xc//NPMGJd4PD2eC5IHnnTzscz/Dii9ZtwlQ7HUT6KIPtWK/xQsMLtpMLB7I2pBKlgK7iK+ycoOSBWVws7vxjulOxqxYh0gjenf4ISEZF+pWR7EAhbHvAfjbt8AqlUIl0be0d97O68kTimjMYwDLpj+zbkYydbrj/dQ75LeTzD4cbm27eSdjGnF1fl0T3qbzvLR9LREYXcETinjCQ/30dTUxdY4M4t7HEcV8VocPn2uKpiyFUOR5XjHXs64XCMw7XcvuHJw3R5SUV36do1TMwclQocqAxfoMc2m68AXFrZU0TkSKVkexCJRHqfYXagwyKSvnIKz7yClpd/BckEht1J4awrifgqIQEuM4492kHK4SHMnnvvIhHwHXMKkW3riTfXAuAePhFXxehM0Y5YLLtX0F5Ugf/0y3FXHYMBRNsbceTk05VKnyeXNohHsdx5BJPZPd3h8OGaZqfFHH4Cc65Pj9mOR9N1uWddQ8zdcyKnDAwJbwkFZ1xB+6v/BlYKw+khcM71RO2+3Tu8ZT8kLYjGk7idNo2BFJEBw7CswT1tp6UlSCo1qC/xkHAZFvZQLclgK7bcQmJ5FcTjNnIidXS8+XvCn/0NR+EQAjXziQSOJrWXUiW+VDPJtgYM04ZZUEbQyK77XVycm+7ZBtxGBOrW0fr60ySD7fiO+Qa5k2cRyx2KveFDWl/7d+ItdXhGTKTg5L8j6Om9VODhyjDAFWslFWzF8OYTdxcN6smRu9u1rQcL00jhCDdjhbswfAFizgCD/Db7tRxIWxsGNHREefK5D9mwrZ0JIwr59tnjKPTteXlk6T+D8XMtvVNbp5mmQWGhb4/PK9mW/eamm45nHiBWvymzzbA7Kbnsbrrdva+++HXs+uH1tm+g4ff/zK7dgrnHzSRn2jwanrgFK/Fl77WrYgyBud87LMdnS+90oz5yHEhbd8eS3P7ou3SGvvy8lwW83HXlibhs6uM+3OhzfeRQW6d9VbKtu5TsNzPYnJVoQ7qiRrK17qCdI97yBbv//h786B3MWDgr0QaI1m3ACrYetHOLyOGhqSOclWgDbG/tpqVj3yoriYj0ByXbsv+cboxeanybrp5VQvaX6e55LHteYXZJwx0MpwfDoZ+VRQYbj8vRY5tpGrhde66fLyJyuFCyLfst4i6h4NSLs7Z5Rldj+Q/euGlH8VAcxbus5miY+E+9GAsbnlGTs/b1n3oRifyqg3ZuETk8FOW6OPeU4VnbLj5jNP4cfbkWkcOfxmzLAXFaEWzt20i0b8f05mMUDSNiK/jqF+7F7mPAfLHtxJtrsaJh7IUVJApGEUtBTryBZGsdyVAnDn8plr+CMHkHeklyCGm835HjQNs6nkxR1xqmpSNMcYGH8oAXu3nkTCYeSPS5PnKordO+asy2Sv/JAYkZbvCPSf/rI0FnGVSUpc8HmfraIUcplJYCEO/9pSIySDhsJsOKcxhWrMWBRGRg6fdku62tjR/+8Ids27YNp9PJsGHDuPfeewkEAowdO5YxY8ZgmunRLj//+c8ZO3ZsP0c8uDmd4Oj8HCvSjZkXIGiq5rOIiIjI/ur3ZNswDK666iqmTp0KwMKFC/nFL37BT3/6UwCefvppcnLUk3EoeAkR/+SvNPzpt1jxCHZ/OUXnXEsop6q/QxMREREZkPp9gmRBQUEm0QY4/vjjqas7eKXjZB901NH68q+w4hEAEm31tL78ZHqVRhERERHZZ/3es72rVCrF7373O2pqajLb5s+fTzKZ5NRTT+WGG27A6dTs876S6GjssS3WuJVUdyd4/f0QkYiIiMjAdlhVI7nnnntoaGjgoYcewjRN6uvrKS8vJxgM8oMf/IAxY8Zw880393eYg1bw43dp/OMvsrbZ8oooveg23KVV/ROUiIiIyAB22PRsL1y4kK1bt7J06dLMhMjy8nIAfD4fF154IU8++eQ+H1el/74+X0E5uZPOpGvNy0B66fXCM/6BbkchXYewtI9KCR051NZHDrX1kUNtfeRQW6cNiNJ/DzzwAOvWreOxxx7LDBPp6OjA5XLhdrtJJBK89NJLjBs3rp8jHdyCtkJyTpiLd/QUkt1d2AtKieQeRTLZ35GJiIiIDEz9nmxv3LiRRx99lKqqKi655BIAKisrueqqq/jxj3+MYRgkEgkmTZrEggUL+jnawS9EPhTkQwFEAZRoi4iIiOy3fk+2R48ezSeffNLrc88888whjkZERERE5ODp99J/IiIiIiKDlZJtEREREZE+omRbRERERKSPKNkWEREREekjSrZFRERERPqIkm0RERERkT6iZFtEREREpI8o2RYRERER6SNKtkVERERE+oiSbRERERGRPqJkW0RERESkjyjZFhERERHpI0q2RURERET6iJJtEREREZE+omRbRERERKSPKNkWEREREekjSrZFRERERPqIkm0RERERkT5i7+8A+pppGv0dguwHtduRQ2195FBbHznU1kcOtfVXvweGZVnWIYpFREREROSIomEkIiIiIiJ9RMm2iIiIiEgfUbItIiIiItJHlGyLiIiIiPQRJdsiIiIiIn1EybaIiIiISB9Rsi0iIiIi0keUbIuIiIiI9BEl2yIiIiIifUTJthxSCxcupKamhrFjx7Jhw4Yezz/00EM9nvvggw8477zzmDVrFldccQUtLS2HMmTZT3tq62g0yl133cVZZ53Fueeey5133pl5bsuWLVx88cXMmjWLiy++mM8++6wfIpd9tae2fu211zj//POZN28e5513HitWrMg8p7YeeNra2rj66quZNWsW5557Ltdffz2tra3A3u/TuocPPHtq6y1btjB//nxmz57N3Llzue2224hEIpnXrVy5ktmzZ3PmmWdy0003EQ6H+/EqDiOWyCG0atUqq66uzpoxY4b1ySefZD23bt0668orr8x6LplMWmeccYa1atUqy7Isa8mSJdatt956yOOWfbentr7vvvus+++/30qlUpZlWVZTU1Pmufnz51vLly+3LMuyli9fbs2fP//QBi37pbe2TqVSVnV1debxRx99ZB1//PFWMpm0LEttPRC1tbVZ7733Xubxz372M+u2227b631a9/CBaU9tXVtba3344YeWZaXbdsGCBdZDDz1kWZZlBYNB6+STT7a2bNliWZZl3X777dbixYsPeeyHI/VsyyFVXV1NeXl5j+2xWIx7772Xu+++O2v7unXrcLlcVFdXA3DJJZfw4osvHopQ5QD11tahUIjly5ezYMECDMMAoKioCICWlhbWr1/P3LlzAZg7dy7r16/P9JzJ4WtPn2vTNOnq6gKgq6uLkpISTNNUWw9QBQUFTJ06NfP4+OOPp66ubq/3ad3DB6Y9tXVlZSXjx48H0p/viRMnUldXB8Abb7zBhAkTqKqqAtJt/cILLxzy2A9H9v4OQATgl7/8Jeeddx6VlZVZ2+vr66moqMg8DgQCpFIp2tvbKSgoONRhygGqra2loKCAhx56iD//+c/k5OSwYMECqqurqa+vp7S0FJvNBoDNZqOkpIT6+noCgUA/Ry77yjAMHnzwQb773e/i9XoJhUI89thjAGrrQSCVSvG73/2Ompqavd6ndQ8f+HZt611FIhH++Mc/8v3vfx/o+fe6oqKC+vr6Qxrr4Uo929Lv1qxZw7p167jsssv6OxTpY8lkktraWsaPH8+yZcu45ZZbuOGGGwgGg/0dmhxkiUSCRx99lIcffpjXXnuNRx55hJtuuolQKNTfoclBcN999+H1ern88sv7OxTpY721dSKR4Oabb2batGnMnDmzH6MbGJRsS79btWoVmzdvZubMmdTU1LB9+3auvPJK3nrrLcrLyzM/UQG0trZimqZ6RAao8vJy7HZ7ZvjAcccdh9/vZ8uWLZSXl9PQ0EAymQTSiXljY2OvwxPk8PfRRx/R2NjIlClTAJgyZQoej4fNmzerrQe4hQsXsnXrVh588EFM09wgmhifAAAFF0lEQVTrfVr38IFt97aG9Of1lltuIT8/nzvuuCOz7+5tXVdXp8/0Dkq2pd9dc801vPXWW6xcuZKVK1dSVlbGE088wSmnnMKECROIRCKsXr0agKeffprZs2f3c8SyvwKBAFOnTuXtt98G0hUpWlpaGDZsGIWFhYwbN45nn30WgGeffZZx48ZpWMEAVVZWxvbt2/n0008B2Lx5My0tLRx11FFq6wHsgQceYN26dSxZsgSn0wmw1/u07uEDV29tnUqluPXWW7HZbNx///2ZuTcA06dPZ+3atZnKQk8//TRnn312f4R+2DEsy7L6Owg5cvzkJz9hxYoVNDc34/f7KSgo4Lnnnsvap6amhqVLlzJmzBgA3n//fe666y6i0ShDhgxh0aJFmUl1cvjaU1vX1tZy++23097ejt1u56abbuK0004D0gnZrbfeSmdnJ3l5eSxcuJARI0b085XIV9lTW//P//wPjz/+eOYP8o033sgZZ5wBqK0Hoo0bNzJ37lyqqqpwu90AVFZWsmTJkr3ep3UPH3j21NYXXngh1157LWPGjMn0dE+ePJm77roLgFdeeYVFixaRSqUYN24cP/vZz/B6vf12HYcLJdsiIiIiIn1Ew0hERERERPqIkm0RERERkT6iZFtEREREpI8o2RYRERER6SNKtkVERERE+oiSbRGRI9zSpUv50Y9+9LX2Xbx4MbfccksfRyQiMngo2RYRGQRqamp45513srYtW7aMSy+99Ctfe91113H//ff3WRwiIkcyJdsiIiIiIn1EybaIyBGgoaGBG264gWnTplFTU8Ovf/3rzHO7Dw1Zvnw5M2bMYOrUqSxZsqRHb3U8HueHP/whkyZNYs6cOaxduxaAH/zgB9TV1XHdddcxadIkHn/88UN3gSIihykl2yIig1wqleI73/kOY8eO5Y033uCpp57iqaee4s033+yx76ZNm7jnnntYtGgRb775JsFgkIaGhqx9Vq5cyZw5c1i9ejU1NTXcd999ACxatIiKigqWLl3KmjVruPrqqw/J9YmIHM7s/R2AiIgcHN/73vew2WyZx/F4nPHjx7N27VpaW1u5/vrrARg6dCgXXXQRzz//PNOnT886xosvvsiMGTOorq4G4MYbb+Q3v/lN1j5TpkzhtNNOA2DevHk89dRTfXlZIiIDmpJtEZFBYsmSJZx88smZx8uWLeMPf/gDX3zxBY2NjZkEGiCZTGY93qmxsZGysrLMY4/HQ0FBQdY+RUVFmf+73W6i0SiJRAK7XX9SRER2pzujiMggV15eTmVlJStWrPjKfUtKStiyZUvmcSQSob29vS/DExEZ1DRmW0RkkJs4cSI5OTk89thjRCIRkskkGzZs4G9/+1uPfWfNmsXKlSt5//33icViLF68GMuyvva5ioqKqK2tPZjhi4gMaEq2RUQGOZvNxtKlS/n444+ZOXMm06ZN44477iAYDPbYd/To0dx55518//vfZ/r06Xi9XgKBAE6n82ud65prruGRRx6hurqaJ5544mBfiojIgGNY+9JlISIiR5RQKMQJJ5zASy+9xNChQ/s7HBGRAUc92yIikmXlypWEw2G6u7tZuHAhY8aMobKysr/DEhEZkJRsi4hIlldffZXp06czffp0tm7dygMPPIBhGP0dlojIgKRhJCIiIiIifUQ92yIiIiIifUTJtoiIiIhIH1GyLSIiIiLSR5Rsi4iIiIj0ESXbIiIiIiJ9RMm2iIiIiEgf+f9c//QXPcXmRAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 864x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}