O'Reilly_Chaper_2.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "O'Reilly_Chaper_2.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyMcyiByv3AD1PuZ3hLlnG1D",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Feffote/Hands-On_ML/blob/master/O'Reilly_Chaper_2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ums7f3KhtB3x",
        "colab_type": "text"
      },
      "source": [
        "# **Get the Data**\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5hulaZNwr6L6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import os\n",
        "import tarfile\n",
        "import urllib\n",
        "\n",
        "DOWNLOAD_ROOT = \"https://github.com/ageron/handson-ml2/master/\"\n",
        "HOUSING_PATH = os.path.join(\"datasets\", \"housing\")\n",
        "HOUSING_URL = DOWNLOAD_ROOT + \"datasets/housing/housing.tgz\"\n",
        "\n",
        "def fetch_housing_data(housing_url=HOUSING_URL, housing_path=HOUSING_PATH):\n",
        "    if not os.path.isdir(housing_path):\n",
        "        os.makedirs(housing_path)\n",
        "    tgz_path = os.path.join(housing_path, \"housing.tgz\")\n",
        "    urllib.request.urlretrieve(housing_url, tgz_path)\n",
        "    housing_tgz = tarfile.open(tgz_path)\n",
        "    housing_tgz.extractall(path=housing_path)\n",
        "    housing_tgz.close()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Lv-wo0i6tqOa",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "fetch_housing_data()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xTRheHgTt2Wp",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "\n",
        "def load_housing_data(housing_path=HOUSING_PATH):\n",
        "  csv_path = os.path.join(housing_path, \"housing.csv\")\n",
        "  return pd.read_csv(csv_path)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6rqcYLKxuMFu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        },
        "outputId": "9cf6802f-0d85-47c2-f7eb-09edd9327f80"
      },
      "source": [
        "housing = load_housing_data()\n",
        "#primeras 5 filas del dataset\n",
        "housing.head()"
      ],
      "execution_count": null,
      "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>longitude</th>\n",
              "      <th>latitude</th>\n",
              "      <th>housing_median_age</th>\n",
              "      <th>total_rooms</th>\n",
              "      <th>total_bedrooms</th>\n",
              "      <th>population</th>\n",
              "      <th>households</th>\n",
              "      <th>median_income</th>\n",
              "      <th>median_house_value</th>\n",
              "      <th>ocean_proximity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-122.23</td>\n",
              "      <td>37.88</td>\n",
              "      <td>41.0</td>\n",
              "      <td>880.0</td>\n",
              "      <td>129.0</td>\n",
              "      <td>322.0</td>\n",
              "      <td>126.0</td>\n",
              "      <td>8.3252</td>\n",
              "      <td>452600.0</td>\n",
              "      <td>NEAR BAY</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>-122.22</td>\n",
              "      <td>37.86</td>\n",
              "      <td>21.0</td>\n",
              "      <td>7099.0</td>\n",
              "      <td>1106.0</td>\n",
              "      <td>2401.0</td>\n",
              "      <td>1138.0</td>\n",
              "      <td>8.3014</td>\n",
              "      <td>358500.0</td>\n",
              "      <td>NEAR BAY</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>-122.24</td>\n",
              "      <td>37.85</td>\n",
              "      <td>52.0</td>\n",
              "      <td>1467.0</td>\n",
              "      <td>190.0</td>\n",
              "      <td>496.0</td>\n",
              "      <td>177.0</td>\n",
              "      <td>7.2574</td>\n",
              "      <td>352100.0</td>\n",
              "      <td>NEAR BAY</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-122.25</td>\n",
              "      <td>37.85</td>\n",
              "      <td>52.0</td>\n",
              "      <td>1274.0</td>\n",
              "      <td>235.0</td>\n",
              "      <td>558.0</td>\n",
              "      <td>219.0</td>\n",
              "      <td>5.6431</td>\n",
              "      <td>341300.0</td>\n",
              "      <td>NEAR BAY</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-122.25</td>\n",
              "      <td>37.85</td>\n",
              "      <td>52.0</td>\n",
              "      <td>1627.0</td>\n",
              "      <td>280.0</td>\n",
              "      <td>565.0</td>\n",
              "      <td>259.0</td>\n",
              "      <td>3.8462</td>\n",
              "      <td>342200.0</td>\n",
              "      <td>NEAR BAY</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   longitude  latitude  ...  median_house_value  ocean_proximity\n",
              "0    -122.23     37.88  ...            452600.0         NEAR BAY\n",
              "1    -122.22     37.86  ...            358500.0         NEAR BAY\n",
              "2    -122.24     37.85  ...            352100.0         NEAR BAY\n",
              "3    -122.25     37.85  ...            341300.0         NEAR BAY\n",
              "4    -122.25     37.85  ...            342200.0         NEAR BAY\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RX5Jd6JluXFO",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        },
        "outputId": "eb5ef3a6-2e62-4cc5-b528-654f6925caf0"
      },
      "source": [
        "#cantidad toal de filas, filas faltantes y tipo de datos\n",
        "housing.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 20640 entries, 0 to 20639\n",
            "Data columns (total 10 columns):\n",
            " #   Column              Non-Null Count  Dtype  \n",
            "---  ------              --------------  -----  \n",
            " 0   longitude           20640 non-null  float64\n",
            " 1   latitude            20640 non-null  float64\n",
            " 2   housing_median_age  20640 non-null  float64\n",
            " 3   total_rooms         20640 non-null  float64\n",
            " 4   total_bedrooms      20433 non-null  float64\n",
            " 5   population          20640 non-null  float64\n",
            " 6   households          20640 non-null  float64\n",
            " 7   median_income       20640 non-null  float64\n",
            " 8   median_house_value  20640 non-null  float64\n",
            " 9   ocean_proximity     20640 non-null  object \n",
            "dtypes: float64(9), object(1)\n",
            "memory usage: 1.6+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "azItDG4-uqIJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 121
        },
        "outputId": "3b2a5a73-6d22-4ede-d78b-256cd1da470f"
      },
      "source": [
        "#ocean_proximity >> variable categorica, con esta funcion se ve la cantidad de categorias existentes\n",
        "housing[\"ocean_proximity\"].value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<1H OCEAN     9136\n",
              "INLAND        6551\n",
              "NEAR OCEAN    2658\n",
              "NEAR BAY      2290\n",
              "ISLAND           5\n",
              "Name: ocean_proximity, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TvBbvWmUvimw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "outputId": "3bd60a00-f138-47c6-8a25-d3fb54cbfa48"
      },
      "source": [
        "#atributos numericos del dataset\n",
        "housing.describe()\n",
        "#std = standard deviation"
      ],
      "execution_count": null,
      "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>longitude</th>\n",
              "      <th>latitude</th>\n",
              "      <th>housing_median_age</th>\n",
              "      <th>total_rooms</th>\n",
              "      <th>total_bedrooms</th>\n",
              "      <th>population</th>\n",
              "      <th>households</th>\n",
              "      <th>median_income</th>\n",
              "      <th>median_house_value</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20433.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "      <td>20640.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>-119.569704</td>\n",
              "      <td>35.631861</td>\n",
              "      <td>28.639486</td>\n",
              "      <td>2635.763081</td>\n",
              "      <td>537.870553</td>\n",
              "      <td>1425.476744</td>\n",
              "      <td>499.539680</td>\n",
              "      <td>3.870671</td>\n",
              "      <td>206855.816909</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>2.003532</td>\n",
              "      <td>2.135952</td>\n",
              "      <td>12.585558</td>\n",
              "      <td>2181.615252</td>\n",
              "      <td>421.385070</td>\n",
              "      <td>1132.462122</td>\n",
              "      <td>382.329753</td>\n",
              "      <td>1.899822</td>\n",
              "      <td>115395.615874</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>-124.350000</td>\n",
              "      <td>32.540000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.499900</td>\n",
              "      <td>14999.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>-121.800000</td>\n",
              "      <td>33.930000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>1447.750000</td>\n",
              "      <td>296.000000</td>\n",
              "      <td>787.000000</td>\n",
              "      <td>280.000000</td>\n",
              "      <td>2.563400</td>\n",
              "      <td>119600.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>-118.490000</td>\n",
              "      <td>34.260000</td>\n",
              "      <td>29.000000</td>\n",
              "      <td>2127.000000</td>\n",
              "      <td>435.000000</td>\n",
              "      <td>1166.000000</td>\n",
              "      <td>409.000000</td>\n",
              "      <td>3.534800</td>\n",
              "      <td>179700.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>-118.010000</td>\n",
              "      <td>37.710000</td>\n",
              "      <td>37.000000</td>\n",
              "      <td>3148.000000</td>\n",
              "      <td>647.000000</td>\n",
              "      <td>1725.000000</td>\n",
              "      <td>605.000000</td>\n",
              "      <td>4.743250</td>\n",
              "      <td>264725.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>-114.310000</td>\n",
              "      <td>41.950000</td>\n",
              "      <td>52.000000</td>\n",
              "      <td>39320.000000</td>\n",
              "      <td>6445.000000</td>\n",
              "      <td>35682.000000</td>\n",
              "      <td>6082.000000</td>\n",
              "      <td>15.000100</td>\n",
              "      <td>500001.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          longitude      latitude  ...  median_income  median_house_value\n",
              "count  20640.000000  20640.000000  ...   20640.000000        20640.000000\n",
              "mean    -119.569704     35.631861  ...       3.870671       206855.816909\n",
              "std        2.003532      2.135952  ...       1.899822       115395.615874\n",
              "min     -124.350000     32.540000  ...       0.499900        14999.000000\n",
              "25%     -121.800000     33.930000  ...       2.563400       119600.000000\n",
              "50%     -118.490000     34.260000  ...       3.534800       179700.000000\n",
              "75%     -118.010000     37.710000  ...       4.743250       264725.000000\n",
              "max     -114.310000     41.950000  ...      15.000100       500001.000000\n",
              "\n",
              "[8 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ViGddZR6vpw7",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 871
        },
        "outputId": "1ad0d560-4a86-4553-b1f6-f36966db0ebe"
      },
      "source": [
        "%matplotlib inline\n",
        "import matplotlib.pyplot as plt\n",
        "housing.hist(bins=50, figsize=(20,15))\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABJEAAANeCAYAAACiV59dAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzdf7icVXno/e9NEETlEATdxYTT0JrWg6aibwpae3p2pUIA29DrVcRSTRSb0xZarenRYHsOVqWNPVXEqtgo0eCrAvXHIRVajOg+Ht+3/Bbll0iEWJIGoiYgGxQbe79/PGvDsDOT2bMzv57Z3891zbWfWc+aZ+61Z/asPfez1noiM5EkSZIkSZL2Zr9BByBJkiRJkqThZxJJkiRJkiRJbZlEkiRJkiRJUlsmkSRJkiRJktSWSSRJkiRJkiS1ZRJJkiRJkiRJbZlE0sBFxJaI+I1BxwEQER+PiHfN8rETEfGGFvsWRURGxP77FqEkDb9+f65HxGRE/Fy/nq/bSv/w7LL94Yj474OOSZK0d7Pt6yLiP0fEnV2MYzwitnbreFI7fqGVJEm1lplPG3QM3ZKZvz/oGCRJ3RMRCSzOzM0Amfl/gF9s2L8FeENmfmkwEUqdcSSSJEmSJEmS2jKJpGFxTER8MyIejIhLI+LJABHxexGxOSJ2RsTGiHhWKd9jeljjdLKIeHZE/O9yvO9HxKUN9Z4TEZvKMe+MiNOmxXJoRFwREQ9FxLUR8fMNj/2ViLi+HPf6iPiVZo2JiHkR8Tflue8GTpm2f2VE3F2e456IOGNff4GSNGT6+bneOB3s4xHxwb18jp9QPvsfjIgPlWM2nYrc8JiVEfH/RsT5EfFA+fz+lVJ+b0TsiIgVDfUPLH3Av0TE/WWK2kEN+/9bRGyPiH+NiNdPe67HplVHxKER8YWI+F5E7CrbC6f9ft5ZYnsoIr4YEYe3e2Ei4u8j4r7yO/hqRDy3Yd9hEfEPEfHD0s+9KyK+1rC/XR8qSXNKRBwbEf9c+oftEfGBiDig7PtqqfaNqKZevyoapp9FxCeA/wj8Q9n/lmgyPS0aps5FxEGlr9gVEbcDvzyt7rMi4rOl77gnIv64178DzS0mkTQsTgOWAUcBvwSsjIiXAn9V9h0BfBe4ZIbHeyfwReBQYCHwtwAR8VRgE/Ap4JnA6cCHIuLohseeDvxFeexm4Lzy2KcDVwDvBw4D3gtcERGHNXn+3wNeDrwAWAq8YmpHieH9wEmZeTDwK8DNM2yXJNVFXz7XW2j1OX448BngHKrP8TupPoNn4jjgm+Vxnypx/zLwbOB3gQ9ExNS0urXALwDHlP0LgP9RYlgG/CnwMmAxsLf1NPYDPgb8LNWXjB8BH5hW53eA11H1aQeUY7fzj+W5nwncBHyyYd8HgYeBnwFWlBsl9pn0oZI01/wU+BPgcODFwPHAHwJk5q+VOs/PzKdl5qWND8zM1wD/Avxm2f/XM3i+c4GfL7cTeeLn9H7APwDfoOp7jgfeFBEnzr550hOZRNKweH9m/mtm7qT64DsGOANYn5k3ZeajVP/0vzgiFs3geP9G9U/3szLzx5k5dRb15cCWzPxYZu7OzK8DnwVe2fDYz2fmdZm5m+of62NK+SnAXZn5ifLYTwPfAn6zyfOfBrwvM+8tbfqrafv/HXheRByUmdsz87YZtEmS6qRfn+vNtPocPxm4LTM/V/a9H7hvhu25p/QdPwUuBY4E3pGZj2bmF4GfAM+OiABWAX+SmTsz8yHgL6kSLlD1Dx/LzFsz82Hg7a2eMDN/kJmfzcxHynHOA/7LtGofy8xvZ+aPgMsa2tpSZq7PzIfKa/B24PkRcUhEzAP+b+Dc8py3AxsaHjqTPlSS5pTMvDEzrymfi1uAv2PPz+puOg04r/Qx91L1ZVN+GXhGZr4jM3+SmXcDH+HxPkjaZyaRNCwa/4l/BHga8Cyqs9QAZOYk8AOqrHo7bwECuC4ibmuYLvCzwHFluOkDEfEA1Zean2kTC9PjKb7bIp5nAfdOqzfVjoeBVwG/D2wvUy6eM4M2SVKd9OtzfabPDdM+mzMzgZle0eb+hu0flcdPL3sa8AzgKcCNDf3MP5XyPWJgz37lMRHxlIj4u4j4bkT8EPgqML8ke6a0amurY86LiLUR8Z1yzC1l1+Elxv2nxde4PZM+VJLmlIj4hTLd+L7yufqXVJ+pvbK3fuRngWdN+5x+GzDWw3g0x3h1Ng2zf6X6IAQeG0Z/GLCNaqg9VP+o/7BsP/ZPbGbeRzWljIj4VeBLZU7yvcD/zsyX7Ws8xX+k+nIw3Xaqs9SN9R6TmVcBV5U1Mt5FdYbgP88iJkmqk65/rk9d7WaGtlNNhZt6/mi83yXfp0ooPTczt7WIoWX/MM1qqiv4HJeZ90XEMcDXqZJps/U7wHKqaXRbgEOAXeWY3wN2U/1Ovl3qN8a6L32oJI2qC6k+m1+dmQ9FxJtoWMpiBnLa/Yep+kKgSv7z+IkIeLwfmZrJ0NiP3Es1cnZxB88vdcSRSBpmnwZeFxHHRMSBVFn9azNzS2Z+j+pLx++Ws6qvp5oXDEBEvLJh8dFdVB/O/w58AfiFiHhNRDyp3H45Iv7TDOK5sjz2dyJi/4h4FXB0OeZ0lwF/HBELI+JQYE1DbGMRsbx8eXoUmCyxSdKo68XneieuAJZExKlRLeB9Fl0eRZOZ/051YuD8iHgmQEQsaFiP4jKq9aGOjoinUK1t0crBVAmpB8q6fHurO1MHU/U9P6D6kvKXDbH/FPgc8PYyCuo5wGsbHrsvfagkjaqDqU5+TJbPzT+Ytv9+4Of28vjp+78NPDkiTomIJwF/DhzYsP8y4JyoLr6wEPijhn3XAQ9FxFvLAtzzIuJ5EfGExbelfWESSUMrM78E/Heq9Ra2U32ZaJzP+3vAf6P6R/i5wP/XsO+XgWsjYhLYCLwxM+8ua0qcUI7zr1TTAN7NEz+YW8XzA6r1IFaX53wL8PLM/H6T6h8BrqJa1O4mqn/Kp+wHvLk8/06qOdPTOxtJGjm9+Fzv8Pm/T7V+z1+X5zgauIEqqdJNb6Va0PuaMrXhS1QjisjMfwTeB3y51PnyXo7zPuAgqtFN19B85GunLqaa+rANuL0ct9HZVKOT7gM+QZX4e7TEPus+VJJG2J9SjfJ8iOo7wKXT9r8d2FCmlzW7ouVfAX9e9v9pZj5ItTD3R3l8pG7j1Ou/oPocv4fqghOfmNpRTga8nGp9vHuo+o+PUn2uS10R1XIAkiRJc0u5is1W4IzM/Mqg4xlGEfFu4Gcyc0XbypIkaeQ5EkmSJM0ZEXFiRMwv0+neRrUW0PTROHNWRDwnIn4pKscCZwKfH3RckiRpOJhEkiRJc8mLge9QDfH/TeDUzPxRRHw4Iiab3D482HA7FxFntGjLbe0fzcFUU7AfppqS8R7g8l7GK0mS6sPpbJIkSZIkSWrLkUiSJEmSJElqa/9BB7A3hx9+eC5atKjjxz388MM89alP7X5AfVDX2OsaN9Q3duPuv27EfuONN34/M5/RpZA0AzPpS+r8vmxnlNsGo90+21ZP/WibfUn/zfZ7Sd2M8t9mM7Z3tNnevZttXzLUSaRFixZxww03dPy4iYkJxsfHux9QH9Q19rrGDfWN3bj7rxuxR8R3uxONZmomfUmd35ftjHLbYLTbZ9vqqR9tsy/pv9l+L6mbUf7bbMb2jjbbu3ez7UtmNJ0tIrZExC0RcXNE3FDKnh4RmyLirvLz0FIeEfH+iNgcEd+MiBc2HGdFqX9XRHipWEmSJEmSpJroZE2kX8/MYzJzabm/Brg6MxcDV5f7ACcBi8ttFXAhVEkn4FzgOOBY4NypxJMkSZIkSZKG274srL0c2FC2NwCnNpRfnJVrgPkRcQRwIrApM3dm5i5gE7BsH55fkiRJkiRJfTLTNZES+GJEJPB3mbkOGMvM7WX/fcBY2V4A3Nvw2K2lrFX5E0TEKqoRTIyNjTExMTHDEB83OTk5q8cNg7rGXte4ob6xG3f/1Tl2SZIkSdpXM00i/WpmbouIZwKbIuJbjTszM0uCaZ+VBNU6gKVLl+ZsFsKq8wJadY29rnFDfWM37v6rc+ySJEmStK9mNJ0tM7eVnzuAz1OtaXR/maZG+bmjVN8GHNnw8IWlrFW5JEmSJEmShlzbJFJEPDUiDp7aBk4AbgU2AlNXWFsBXF62NwKvLVdpexHwYJn2dhVwQkQcWhbUPqGUSZIkSZIkacjNZDrbGPD5iJiq/6nM/KeIuB64LCLOBL4LnFbqXwmcDGwGHgFeB5CZOyPincD1pd47MnNn11oiSZIkSZKknmmbRMrMu4HnNyn/AXB8k/IEzmpxrPXA+s7DlCRJkiRJ0iDNdGHtkbZozRV7lG1Ze8oAIpEkSdIo8v9NDaPp78vVS3azssl7FXy/SqrMaGFtSZIkSZIkzW0mkSRJkiRJktSWSSRJkiRJQy8inhwR10XENyLitoj4i1J+VERcGxGbI+LSiDiglB9Y7m8u+xc1HOucUn5nRJw4mBZJUv2YRJIkSZJUB48CL83M5wPHAMsi4kXAu4HzM/PZwC7gzFL/TGBXKT+/1CMijgZOB54LLAM+FBHz+toSSaopk0iSJEmShl5WJsvdJ5VbAi8FPlPKNwCnlu3l5T5l//EREaX8ksx8NDPvATYDx/ahCZJUe16dTZIkSVItlBFDNwLPBj4IfAd4IDN3lypbgQVlewFwL0Bm7o6IB4HDSvk1DYdtfEzjc60CVgGMjY0xMTHR7eYM3Oolu59wf+ygPcumjGL7JycnR7Jdrdje0dav9ppEkiRJklQLmflT4JiImA98HnhOD59rHbAOYOnSpTk+Pt6rpxqYlWuueML91Ut2855bmn9F3HLGeB8i6q+JiQlG8XVtxfaOtn611+lskiRJkmolMx8AvgK8GJgfEVOZj4XAtrK9DTgSoOw/BPhBY3mTx0iS9sIkkiRJkqShFxHPKCOQiIiDgJcBd1Alk15Rqq0ALi/bG8t9yv4vZ2aW8tPL1duOAhYD1/WnFZJUb05nkyRJklQHRwAbyrpI+wGXZeYXIuJ24JKIeBfwdeCiUv8i4BMRsRnYSXVFNjLztoi4DLgd2A2cVabJSZLaMIkkSZIkaehl5jeBFzQpv5smV1fLzB8Dr2xxrPOA87odoySNOqezSZIkSZIkqS2TSJIkSZIkSWrLJJIkSZIkSZLaMokkSZIkSZKktkwiSZIkSZIkqS2TSJKknouI9RGxIyJubSj7nxHxrYj4ZkR8PiLmN+w7JyI2R8SdEXFiQ/myUrY5Itb0ux2SJEnSXGYSSZLUDx8Hlk0r2wQ8LzN/Cfg2cA5ARBwNnA48tzzmQxExLyLmAR8ETgKOBl5d6kqSJEnqA5NIkqSey8yvAjunlX0xM3eXu9cAC8v2cuCSzHw0M+8BNgPHltvmzLw7M38CXFLqSpIkSeqD/QcdgCRJwOuBS8v2Aqqk0pStpQzg3mnlxzU7WESsAlYBjI2NMTExsdcnn5ycbFunrka5bTDa7bNt9dSqbauX7N6jbFR/B5Kk0WUSSZI0UBHxZ8Bu4JPdOmZmrgPWASxdujTHx8f3Wn9iYoJ2depqlNsGo90+21ZPrdq2cs0Ve5RtOWPPepIkDTOTSJKkgYmIlcDLgeMzM0vxNuDIhmoLSxl7KZckSZLUY66JJEkaiIhYBrwF+K3MfKRh10bg9Ig4MCKOAhYD1wHXA4sj4qiIOIBq8e2N/Y5bkiRJmqsciSRJ6rmI+DQwDhweEVuBc6muxnYgsCkiAK7JzN/PzNsi4jLgdqppbmdl5k/Lcc4GrgLmAesz87a+N0aSJEmao0wiSZJ6LjNf3aT4or3UPw84r0n5lcCVXQxNkiRJ0gw5nU2SJEmSJEltmUSSJEmSJElSWyaRJEmSJEmS1JZJJEmSJEmSJLXlwtotLFpzRdPyLWtP6XMkkiRJkiRJg+dIJEmSJEmSJLVlEkmSJEmSJEltmUSSJEmSJElSWyaRJEmSJEmS1NaMk0gRMS8ivh4RXyj3j4qIayNic0RcGhEHlPIDy/3NZf+ihmOcU8rvjIgTu90YSZIkSZIk9UYnI5HeCNzRcP/dwPmZ+WxgF3BmKT8T2FXKzy/1iIijgdOB5wLLgA9FxLx9C1+SJEmSJEn9MKMkUkQsBE4BPlruB/BS4DOlygbg1LK9vNyn7D++1F8OXJKZj2bmPcBm4NhuNEKSJEmSJEm9tf8M670PeAtwcLl/GPBAZu4u97cCC8r2AuBegMzcHREPlvoLgGsajtn4mMdExCpgFcDY2BgTExMzbctjJicnO3rc6iW721cqZhNPJzqNfVjUNW6ob+zG3X91jl2SpLqLiCOBi4ExIIF1mXlBRLwd+D3ge6Xq2zLzyvKYc6hmSvwU+OPMvKqULwMuAOYBH83Mtf1siyTVVdskUkS8HNiRmTdGxHivA8rMdcA6gKVLl+b4eOdPOTExQSePW7nmihnX3XJG5/F0otPYh0Vd44b6xm7c/Vfn2CVJGgG7gdWZeVNEHAzcGBGbyr7zM/NvGitPW07jWcCXIuIXyu4PAi+jOrF9fURszMzb+9IKSaqxmYxEegnwWxFxMvBk4D9QZe3nR8T+ZTTSQmBbqb8NOBLYGhH7A4cAP2gon9L4GEmSJElqKTO3A9vL9kMRcQdNZjY0eGw5DeCeiGhcTmNzZt4NEBGXlLomkSSpjbZJpMw8BzgHoIxE+tPMPCMi/h54BXAJsAK4vDxkY7n/z2X/lzMzI2Ij8KmIeC/VmYDFwHXdbY4kSZKkUVeuAP0C4Fqqk95nR8RrgRuoRivtYu/Ladw7rfy4Js+xz8tsDLvpy3qMHdR6qY9RbP9cW6rA9o62frV3pmsiNfNW4JKIeBfwdeCiUn4R8ImS6d9JNYSUzLwtIi6jyvDvBs7KzJ/uw/NLkiRJmmMi4mnAZ4E3ZeYPI+JC4J1U6yS9E3gP8Pp9fZ5uLLMx7KYv67F6yW7ec0vzr4i9XtZjEObaUgW2d7T1q70dJZEycwKYKNt30+Tqapn5Y+CVLR5/HnBep0FKkiRJUkQ8iSqB9MnM/BxAZt7fsP8jwBfK3b0tp+EyG5I0C/sNOgBJkiRJaicigmrWwx2Z+d6G8iMaqv02cGvZ3gicHhEHRsRRPL6cxvXA4og4KiIOoJo5sbEfbZCkutuX6WySJEmS1C8vAV4D3BIRN5eytwGvjohjqKazbQH+K+x9OY2IOBu4CpgHrM/M2/rZEEmqK5NIkiRJkoZeZn4NiCa7rtzLY5oup5GZV+7tcZKk5pzOJkmSJEmSpLZMIkmSJEmSJKktk0iSpJ6LiPURsSMibm0oe3pEbIqIu8rPQ0t5RMT7I2JzRHwzIl7Y8JgVpf5dEbFiEG2RJEmS5iqTSJKkfvg4sGxa2Rrg6sxcDFxd7gOcRHUFncXAKuBCqJJOwLnAccCxwLlTiSdJkiRJvWcSSZLUc5n5VWDntOLlwIayvQE4taH84qxcA8wvl28+EdiUmTszcxewiT0TU5IkSZJ6xCSSJGlQxjJze9m+Dxgr2wuAexvqbS1lrcolSZIk9cH+gw5AkqTMzIjIbh0vIlZRTYVjbGyMiYmJvdafnJxsW6euRrltMNrts2311Kptq5fs3qNsVH8HkqTRZRJJkjQo90fEEZm5vUxX21HKtwFHNtRbWMq2AePTyieaHTgz1wHrAJYuXZrj4+PNqj1mYmKCdnXqapTbBqPdPttWT63atnLNFXuUbTljz3qSJA0zp7NJkgZlIzB1hbUVwOUN5a8tV2l7EfBgmfZ2FXBCRBxaFtQ+oZRJkiRJ6gNHIkmSei4iPk01iujwiNhKdZW1tcBlEXEm8F3gtFL9SuBkYDPwCPA6gMzcGRHvBK4v9d6RmdMX65YkSZLUIyaRJEk9l5mvbrHr+CZ1EzirxXHWA+u7GJokSZKkGXI6myRJkiRJktoyiSRJkiRJkqS2TCJJkiRJkiSpLZNIkiRJkiRJasskkiRJkiRJktoyiSRJkiRJkqS2TCJJkiRJkiSpLZNIkiRJkiRJasskkiRJkiRJktoyiSRJkiRJkqS2TCJJkiRJkiSpLZNIkiRJkiRJasskkiRJkiRJktoyiSRJkiRJkqS2TCJJkiRJkiSpLZNIkiRJkoZeRBwZEV+JiNsj4raIeGMpf3pEbIqIu8rPQ0t5RMT7I2JzRHwzIl7YcKwVpf5dEbFiUG2SpLoxiSRJkiSpDnYDqzPzaOBFwFkRcTSwBrg6MxcDV5f7ACcBi8ttFXAhVEkn4FzgOOBY4NypxJMkae/2H3QAkiRJGi6L1lzRtHzL2lP6HIn0uMzcDmwv2w9FxB3AAmA5MF6qbQAmgLeW8oszM4FrImJ+RBxR6m7KzJ0AEbEJWAZ8um+NkaSaMokkSZIkqVYiYhHwAuBaYKwkmADuA8bK9gLg3oaHbS1lrcqnP8cqqhFMjI2NMTEx0bX4h8XqJbufcH/soD3Lpoxi+ycnJ0eyXa3Y3tHWr/aaRJIkSZJUGxHxNOCzwJsy84cR8di+zMyIyG48T2auA9YBLF26NMfHx7tx2KGyctqow9VLdvOeW5p/RdxyxngfIuqviYkJRvF1bcX2jrZ+tdc1kSRJkiTVQkQ8iSqB9MnM/Fwpvr9MU6P83FHKtwFHNjx8YSlrVS5JaqNtEikinhwR10XEN8pVEP6ilB8VEdeWqx1cGhEHlPIDy/3NZf+ihmOdU8rvjIgTe9UoSZIkSaMlqiFHFwF3ZOZ7G3ZtBKausLYCuLyh/LXlKm0vAh4s096uAk6IiEPLgtonlDJJUhszGYn0KPDSzHw+cAywrHwIvxs4PzOfDewCziz1zwR2lfLzSz3KlRNOB55LtXDdhyJiXjcbI0mSJGlkvQR4DfDSiLi53E4G1gIvi4i7gN8o9wGuBO4GNgMfAf4QoCyo/U7g+nJ7x9Qi25KkvWu7JlK5msFkufukckvgpcDvlPINwNupLpu5vGwDfAb4QDlrsBy4JDMfBe6JiM1Ul9T85240RJIkSZ1rdSU2adhk5teAaLH7+Cb1EzirxbHWA+u7F50kzQ0zWhMpIuZFxM1U84s3Ad8BHsjMqaX7G69o8NjVDsr+B4HDmOFVECRJc0tE/EmZLn1rRHy6TKPueMq0JEmSpN6a0dXZMvOnwDERMR/4PPCcXgXUjUtpdnppu1aXsWym15fMq+tlCOsaN9Q3duPuvzrHPqwiYgHwx8DRmfmjiLiMaurzyVRTpi+JiA9TTZW+kIYp0xFxOtWU6VcNKHxJkiRpTplREmlKZj4QEV8BXgzMj4j9y2ijxisaTF3tYGtE7A8cAvyAGV4FoRuX0uz00nbTL225N72+tGVdL0NY17ihvrEbd//VOfYhtz9wUET8G/AUYDsdTpkuUxYkSZIk9VDbJFJEPAP4t5JAOgh4GdWZ368ArwAuYc+rIKygWuvoFcCXMzMjYiPwqYh4L/AsYDFwXZfbI0mqkczcFhF/A/wL8CPgi8CNzHDKdERMTZn+fuNxOx3VOsqjzEa5bTDa7etX2wYxInsuvm7Nfs+j+juQJI2umYxEOgLYUK6kth9wWWZ+ISJuBy6JiHcBX6e63Cbl5yfKwtk7qaYlkJm3lWkKtwO7gbPKNDlJ0hxVLq28HDgKeAD4e6oreO6TTke1jvIos1FuG4x2+/rVtkGMyJ6Lr1uz33OvR7hLktRtM7k62zeBFzQpv5vq6mrTy38MvLLFsc4Dzus8TEnSiPoN4J7M/B5ARHyO6hLOnU6ZliRJktRjM7o6myRJPfIvwIsi4ikREVSXaL6dx6dMQ/Mp09AwZbqP8UqSJElzlkkkSdLAZOa1VAtk3wTcQtUvrQPeCry5TI0+jCdOmT6slL8ZWNP3oCVJkqQ5qqOrs0mS1G2ZeS5w7rTijqdMa3gsarHGzpa1p/Q5EkmSJHWTI5EkSZIkSZLU1pwaidTqzKgkSZIkjSq/B0nqFkciSZIkSZIkqa05NRKpG1znQZIkSZIkzUWORJIkSZIkSVJbJpEkSZIkSZLUlkkkSZIkSZIktWUSSZIkSZIkSW2ZRJIkSZIkSVJbJpEkSZIkSZLUlkkkSZIkSZIktbX/oAOQJElzw6I1VzQt37L2lD5HIkmSpNkwiSRJkjQHtEriSZIkzZTT2SRJkiRJktSWSSRJkiRJkiS15XQ2SZIkSZJqqNlUZdcaVC85EkmSJEmSJEltmUSSJEmSNPQiYn1E7IiIWxvK3h4R2yLi5nI7uWHfORGxOSLujIgTG8qXlbLNEbGm3+2QpDoziSRJkiSpDj4OLGtSfn5mHlNuVwJExNHA6cBzy2M+FBHzImIe8EHgJOBo4NWlriRpBlwTSZIkSdLQy8yvRsSiGVZfDlySmY8C90TEZuDYsm9zZt4NEBGXlLq3dzlcSRpJJpEkSZIk1dnZEfFa4AZgdWbuAhYA1zTU2VrKAO6dVn5cs4NGxCpgFcDY2BgTExNdDrt/Vi/ZPaN6Ywe1rlvn9rcyOTlZ+3Y1e71atWkU2tsJ29sbJpEkSZIk1dWFwDuBLD/fA7y+GwfOzHXAOoClS5fm+Ph4Nw47ECubXMGrmdVLdvOeW5p/RdxyxngXIxoOExMT1Pl1heavbavXahTa2wnb2xsmkSRJkiTVUmbeP7UdER8BvlDubgOObKi6sJSxl3JJUhsurC1JkiSpliLiiIa7vw1MXbltI3B6RBwYEUcBi4HrgOuBxRFxVEQcQLX49sZ+xixJdeZIJEnSQEXEfOCjwPOopiO8HrgTuBRYBGwBTsvMXRERwAXAycAjwMrMvGkAYWuOW9Rs+sDaUwYQyZ6axSaNgoj4NDAOHB4RW4FzgfGIOIaq/9gC/FeAzLwtIi6jWjB7N3BWZv60HOds4CpgHrA+M2/rc1MkqbZMIkmSBu0C4J8y8xXlrPBTgLcBV2fm2ohYA6wB3kp1SebF5XYc1VoYTRdElSSNlsx8dZPii/ZS/zzgvCblVwJXdjE0SZoznM4mSRqYiDgE+DXKl4DM/ElmPkB1ueUNpdoG4NSyvRy4OCvXAPOnTWWQJEmS1COORJIkDdJRwPeAj0XE84EbgTcCY5m5vdS5Dxgr2wvY89LMC4DtDWUdX5Z5lC8BO4i2zfRS0lP2JdZA8TcAACAASURBVL5BvXadXFJ5tmbbtk5//53oVhvn4t9cP94zkiT1mkkkSdIg7Q+8EPijzLw2Ii6gmrr2mMzMiMhODtrpZZlH+RKwg2jbTC8lPWVfLhs9qNeuk0sqz9Zs29bp778T3WrjXPyb68d7RpKkXnM6myRpkLYCWzPz2nL/M1RJpfunpqmVnzvK/r1dslmSJElSD5lEkiQNTGbeB9wbEb9Yio6nupLORmBFKVsBXF62NwKvjcqLgAcbpr1JkiRJ6iGns0mSBu2PgE+WK7PdDbyO6iTHZRFxJvBd4LRS90rgZGAz8EipK0mSJKkPTCJJkgYqM28GljbZdXyTugmc1fOg1FeLmq0Vs/aUAUSyp2axSZIkzVVtk0gRcSRwMdWVcRJYl5kXRMTTgUuBRcAW4LTM3BURAVxAdab4EWBlZt5UjrUC+PNy6Hdl5gYkSZI0Kya5JElSP81kTaTdwOrMPBp4EXBWRBxNdfWcqzNzMXA1j19N5yRgcbmtAi4EKEmnc4HjgGOBcyPi0C62RZIkSZIkST3SNomUmdunRhJl5kPAHcACYDkwNZJoA3Bq2V4OXJyVa4D55co6JwKbMnNnZu4CNgHLutoaSZIkSZIk9URHayJFxCLgBcC1wFjDFXHuo5ruBlWC6d6Gh20tZa3Kpz/HKqoRTIyNjTExMdFJiABMTk42fdzqJbs7PtZMzSbOZlrFPuzqGjfUN3bj7r86xy5JkiRJ+2rGSaSIeBrwWeBNmfnDaumjSmZmRGQ3AsrMdcA6gKVLl+b4+HjHx5iYmKDZ41b2cN2ALWfs+Xyz0Sr2YVfXuKG+sRt3/9U5dknqhmFeBF2SJPXeTNZEIiKeRJVA+mRmfq4U31+mqVF+7ijl24AjGx6+sJS1KpckSZIkSdKQa5tEKldbuwi4IzPf27BrI7CibK8ALm8of21UXgQ8WKa9XQWcEBGHlgW1TyhlkiRJkiRJGnIzmc72EuA1wC0RcXMpexuwFrgsIs4EvgucVvZdCZwMbAYeAV4HkJk7I+KdwPWl3jsyc2dXWiFJkiRJkqSeaptEysyvAdFi9/FN6idwVotjrQfWdxKgJEkaXs3WyJEkSdJomtGaSJIkSZIkSZrbZnx1NkmSpH5pNcLJK4FJkiQNjiORJEmSJEmS1JYjkSRJkrrA0VOSJGnUORJJkiRJkiRJbTkSSZIkieG40lxjDKuX7GZlue9oJkmSNAxMInVJs388/YdPkiQ5zU2SJI0Kk0iSJKk2pidkpkbrmJCRJEnqPZNIkiRJA9DJ9LlhmGonSZJkEkmSJEmSpBHR6sTDx5c9tc+RaBSZRJIkSbXXydqEjuqR6iki1gMvB3Zk5vNK2dOBS4FFwBbgtMzcFREBXACcDDwCrMzMm8pjVgB/Xg77rszc0M92SFKd7TfoACRJkiRpBj4OLJtWtga4OjMXA1eX+wAnAYvLbRVwITyWdDoXOA44Fjg3Ig7teeSSNCJMIkmSJEkaepn5VWDntOLlwNRIog3AqQ3lF2flGmB+RBwBnAhsysydmbkL2MSeiSlJUgtOZ5MkSZJUV2OZub1s3weMle0FwL0N9baWslble4iIVVSjmBgbG2NiYqJ7UffZ6iW7Z1Rv7KDWdevc/lYmJyeHrl23bHuwafmSBYc0LZ/pawvD2d5esr29YRJJkjRwETEPuAHYlpkvj4ijgEuAw4Abgddk5k8i4kDgYuD/An4AvCoztwwobEnSEMnMjIjs4vHWAesAli5dmuPj4906dN+tnOFacKuX7OY9tzT/irjljPEuRjQcJiYmGLbXtdVr1er3P9PXFqqFtYetvb00jK9vL/WrvU5nkyQNgzcCdzTcfzdwfmY+G9gFnFnKzwR2lfLzSz1J0tx1f5mmRvm5o5RvA45sqLewlLUqlyTNgCORJEkDFRELgVOA84A3lyvqvBT4nVJlA/B2qkVRl5dtgM8AH4iIyMyunXlWc17RTNKQ2gisANaWn5c3lJ8dEZdQLaL9YGZuj4irgL9sWEz7BOCcPscsSbVlEkmSNGjvA94CHFzuHwY8kJlTk/wb16t4bC2LzNwdEQ+W+t/vX7iSpEGIiE8D48DhEbGV6ipra4HLIuJM4LvAaaX6lcDJwGbgEeB1AJm5MyLeCVxf6r0jM6cv1i1JasEkkiRpYCLi5cCOzLwxIsa7eNyOFkMd5YUXu9W2Thbu7Ke9LQL7t5+8vGn56iW9jKh79ta2YTKb99dc/Jtr9lqO6u+gVzLz1S12Hd+kbgJntTjOemB9F0OTpDnDJJIkaZBeAvxWRJwMPBn4D8AFVJdi3r+MRmpcr2JqLYutEbE/cAjVAttP0OliqKO88GK32tbJwp39tLdFYOuuNm275eGmxVvWntLyIXPxb67Z39AoLlQsSRptLqwtSRqYzDwnMxdm5iLgdODLmXkG8BXgFaXa9DUuVpTtV5T6rockSZIk9YFJJEnSMHor1SLbm6nWPLqolF8EHFbK3wysGVB8kiRJ0pxTgzHSkqS5IDMngImyfTdwbJM6PwZe2dfAJEmSJAEmkSRJktQDi1qso7W3tZJ6cQxJktQ9TmeTJEmSJElSW45EkiRJUq20GqHUjKOWJEnqHpNIkiRJktRHTtWUVFdOZ5MkSZIkSVJbJpEkSZIkSZLUlkkkSZIkSZIktWUSSZIkSZIkSW2ZRJIkSZIkSVJbJpEkSZIkSZLU1v6DDkCSJElzx6I1V7B6yW5WNlzi3MuaS5JUDyaRJEnSEyxq+HIvSZIkTWmbRIqI9cDLgR2Z+bxS9nTgUmARsAU4LTN3RUQAFwAnA48AKzPzpvKYFcCfl8O+KzM3dLcpkiRJqqNeJi5bHdvRT5IkdW4mI5E+DnwAuLihbA1wdWaujYg15f5bgZOAxeV2HHAhcFxJOp0LLAUSuDEiNmbmrm41ZBj5T4skSZIkSRoVbRfWzsyvAjunFS8HpkYSbQBObSi/OCvXAPMj4gjgRGBTZu4siaNNwLJuNECSJEmSJEm9N9s1kcYyc3vZvg8YK9sLgHsb6m0tZa3K9xARq4BVAGNjY0xMTHQc3OTkJH/7ycv3KF+9pOND9cTe2jQ5OTmrNg9aXeOG+sZu3P1X59glSZIkaV/t88LamZkRkd0IphxvHbAOYOnSpTk+Pt7xMSYmJnjP1x7uVkhdt+WM8Zb7JiYmmE2bB62ucUN9Yzfu/qtz7JIkSaovL3qhYTHbJNL9EXFEZm4v09V2lPJtwJEN9RaWsm3A+LTyiVk+tyRJamH6P5mrl+x+QgcsSdJsuN6rJJh9EmkjsAJYW35e3lB+dkRcQrWw9oMl0XQV8JcRcWipdwJwzuzDliRJM+U//pIkSeqGtkmkiPg01SiiwyNiK9VV1tYCl0XEmcB3gdNK9SuBk4HNwCPA6wAyc2dEvBO4vtR7R2ZOX6xbkiRJkiQNKU9MqW0SKTNf3WLX8U3qJnBWi+OsB9Z3FJ0kSTXmP1rS8Gr29+nfpiRJe7fPC2tLkqR6cpFOSZIkdWK/QQcgSZIkSfsiIrZExC0RcXNE3FDKnh4RmyLirvLz0FIeEfH+iNgcEd+MiBcONnpJqg+TSJIkSZJGwa9n5jGZubTcXwNcnZmLgavLfYCTgMXltgq4sO+RSlJNmUSSJA1MRBwZEV+JiNsj4raIeGMp9+yxJGlfLQc2lO0NwKkN5Rdn5RpgfkQcMYgAJaluXBNJkjRIu4HVmXlTRBwM3BgRm4CVVGeP10bEGqqzx2/liWePj6M6e3zcQCKXJA2TBL4YEQn8XWauA8Yyc3vZfx8wVrYXAPc2PHZrKdveUEZErKIaqcTY2BgTExNdC3b1kt1Ny7v5HDN5vunGDpp53Sm9irkfJicnhy7+Tn//neikvbdse7Bp+eolzesP2+8RhvP17aV+tdckkiRpYMo/99vL9kMRcQfVP/LLgfFSbQMwQZVEeuzsMXBNRMyPiCMaviSMHBe/lqQZ+dXM3BYRzwQ2RcS3GndmZpYE04yVRNQ6gKVLl+b4+HjXgl3Z6uqdZ3TvOWbyfNOtXrKb99zS2VfEXsXcDxMTE3Tzde2Gmb5Ws/HxZU+dcXs7jWMY3wfD+Pr2Ur/aaxJJkjQUImIR8ALgWvp89rhXZ266caZ5X89Izuascp2McvtsW/9143Og1edJs/bOpTPkvZaZ28rPHRHxeeBY4P6pEw1lutqOUn0bcGTDwxeWMklSGyaRJEkDFxFPAz4LvCkzfxgRj+3rx9njXp256caZ5n09Izmbs8p1Msrts20DcMvDTYu3rD1lxodo9XnS7G95GM/c11FEPBXYr4xofSpwAvAOYCOwAlhbfl5eHrIRODsiLqGaEv3gKI9oVX81G0HcyWdIL92y7cHmn0VDEp/qYQh7b0nSXBIRT6JKIH0yMz9Ximt39thpZ5I0MGPA58sJiP2BT2XmP0XE9cBlEXEm8F3gtFL/SuBkYDPwCPC6/ofcO/ZHknrJJJIkaWCi+o//IuCOzHxvwy7PHkuSZiQz7wae36T8B8DxTcoTOKsPoUnSyDGJJEkapJcArwFuiYibS9nbqJJHnj2WNBSGeXqKJEn9ZBJJkjQwmfk1IFrs9uyxJKn2PEEgaZSYRBqAVh2JZ7QkSZIkSdKwMokkSVKfeVZakiRJdbTfoAOQJEmSJEnS8HMkkiRJkiRJc5QjpNUJRyJJkiRJkiSpLUciSZIkSR1qdeZ+9ZLdrPSsviRpRDkSSZIkSZIkSW05EmmILFpzxR5nr7asPWWAEUmSJEmSJFUciSRJkiRJkqS2HIkkSZIkSUOq1fpbwzJjYdjjGwb+jjRKTCJJkiRJktSBVokhadSZRJIkSZKkIWBiQtKwc00kSZIkSZIkteVIJEmSJEmS1BfNRty5PlR9mEQaci7CJkmSJEkVvx9Jg2USSZIkSZI0VObC+lCj3sZRb99cZRJJkiRJkqQmTIRIT2QSqaYcxilJvec/jpIkSe35P9PcYRJJkiRJktRVnSQVhuVEuIkQqT2TSJIkSZJUMyY8NJf16gpvzvhpzySSJEmSJEkaGJM39WESacTUcdioJEmSJEnDyiTX40wiSZIkSZIGpt9T86aeb/WS3ax0WqDUEZNIc1iv5pFKkiRJUj/53WY0ufbX8Ol7EikilgEXAPOAj2bm2n7HoNYcpiepDuxLJEn7yr5Emht6mYiai8nLviaRImIe8EHgZcBW4PqI2JiZt/czDnXO5JKkYWFfIknaV/Ylc4OjWOaW6a+30xV7o98jkY4FNmfm3QARcQmwHPDDuqbqOJ/YxJdUe/YlkqR9ZV8iqSf6nbzs9/fbyMz+PVnEK4BlmfmGcv81wHGZeXZDnVXAqnL3F4E7Z/FUhwPf38dwB6Wusdc1bqhv7Mbdf92I/Wcz8xndCGau6lFfUuf3ZTuj3DYY7fbZtnrqR9vsS/ZRH7+X1M0o/202Y3tHm+3du1n1JUO3sHZmrgPW7csxIuKGzFzapZD6qq6x1zVuqG/sxt1/dY59rum0Lxnl13aU2waj3T7bVk+j3La5phvfS+pmrr1/be9os729sV+vn2CabcCRDfcXljJJkmbKvkSStK/sSyRpFvqdRLoeWBwRR0XEAcDpwMY+xyBJqjf7EknSvrIvkaRZ6Ot0tszcHRFnA1dRXUpzfWbe1oOnqvOw07rGXte4ob6xG3f/1Tn2kdGjvmSUX9tRbhuMdvtsWz2NcttGRh+/l9TNXHv/2t7RZnt7oK8La0uSJEmSJKme+j2dTZIkSZIkSTVkEkmSJEmSJEltjVwSKSKWRcSdEbE5ItYMQTzrI2JHRNzaUPb0iNgUEXeVn4eW8oiI95fYvxkRL2x4zIpS/66IWNGHuI+MiK9ExO0RcVtEvLFGsT85Iq6LiG+U2P+ilB8VEdeWGC8tiygSEQeW+5vL/kUNxzqnlN8ZESf2OvbynPMi4usR8YW6xB0RWyLiloi4OSJuKGVD/14pzzk/Ij4TEd+KiDsi4sV1iV3dMWz9xr7opM+pm077pTrptN+qo5n2bXXUSR8oDZNWnz0N+98fEZODiq/b9vJZGxFxXkR8u/wv+MeDjrUb9tLe4yPipvKZ9bWIePagY+2WUe5rmmnS3k+W/2lvLf8TPqknT5yZI3OjWhTvO8DPAQcA3wCOHnBMvwa8ELi1oeyvgTVlew3w7rJ9MvCPQAAvAq4t5U8H7i4/Dy3bh/Y47iOAF5btg4FvA0fXJPYAnla2nwRcW2K6DDi9lH8Y+IOy/YfAh8v26cClZfvo8h46EDiqvLfm9eE982bgU8AXyv2hjxvYAhw+rWzo3yvleTcAbyjbBwDz6xK7t668/kPXb+xje2bc59TtRof9Up1unfZbdbzNtG+r462TPtCbt2G6tfrsKfeXAp8AJgcdZ6/bC7wOuBjYr+x75qBj7XF7vw38p1L+h8DHBx1rF9s8sn3NDNt7cnndA/h0r9o7aiORjgU2Z+bdmfkT4BJg+SADysyvAjunFS+n+uJK+XlqQ/nFWbkGmB8RRwAnApsyc2dm7gI2Act6HPf2zLypbD8E3AEsqEnsmZlTZ02eVG4JvBT4TIvYp9r0GeD4iIhSfklmPpqZ9wCbqd5jPRMRC4FTgI+W+1GHuFsY+vdKRBxC9aX7IoDM/ElmPlCH2NU1Q9dv7IsO+5xamUW/VBuz6LdqpcO+bVTU/n2p0dfqsyci5gH/E3jLwILrgb181v4B8I7M/PdSb8eAQuyqvbQ3gf9Qyg8B/nUA4XXdXOtrprcXIDOvLK97AtcBC3vx3KOWRFoA3Ntwf2spGzZjmbm9bN8HjJXtVvEPtF1RTZN6AVX2uhaxl6F9NwM7qL7Qfwd4IDN3N4njsRjL/geBwwYU+/uoOux/L/cPox5xJ/DFiLgxIlaVsjq8V44Cvgd8rAwF/WhEPJV6xK7umAuvXav3c23NsF+qlQ77rbrppG+ro076QGmoTP/sycxrgbOBjQ3v4ZHRor0/D7wqIm6IiH+MiMWDjbJ7WrT3DcCVEbEVeA2wdpAxdtGo9zXTTW/vY8o0ttcA/9SLJx61JFLtlCxhDjqOViLiacBngTdl5g8b9w1z7Jn508w8hir7eizwnAGH1FZEvBzYkZk3DjqWWfjVzHwhcBJwVkT8WuPOIX6v7E819efCzHwB8DDVtIPHDHHsUsdG4f1c136pnTr2WzNR875tpuraB0p7fPaU9+8rgb8dbGS90aS9z6NaAuLHmbkU+AiwfpAxdlOL9v4JcHJmLgQ+Brx3kDF2wxzpax4zg/Z+CPhqZv6fXjz/qCWRtgFHNtxfWMqGzf1lCgzl59SQyVbxD6RdJYP5WeCTmfm5UlyL2KeUqUlfAV5MNfVo/yZxPBZj2X8I8AP6H/tLgN+KiC1UU2peClxQg7jJzG3l5w7g81RfgOrwXtkKbC1nZaAa7vpC6hG7umMuvHat3s+102G/VEsz7LfqpNO+rXY67AOlodTw2fPrwLOBzeXv9ikRsXmQsfVCQ3uXUf0/ONWnfB74pUHF1SsN7T0JeH7D/76XAr8ysMC6Z+T7mmn2aG9E/D8AEXEu8Ayq9ZJ6YtSSSNcDi8sq7AdQLTa8ccAxNbMRmLp60wrg8oby15YrBLwIeLAMI70KOCEiDo3q6h4nlLKeKXNILwLuyMzG7HQdYn9GRMwv2wcBL6NaO+MrwCtaxD7VplcAXy5nDTcCp0d1FbSjgMVUc0t7IjPPycyFmbmI6r375cw8Y9jjjoinRsTBU9tUr/Gt1OC9kpn3AfdGxC+WouOB2+sQu7qmLv3Gvmj1fq6VWfRLtTGLfqs2ZtG31cos+kBpaLT47LkxM38mMxeVv9tHMnMkrt7Vor3fAv4XVfIM4L9QLTxde3vpWw6JiF8o1abKam3U+5rpWrT3dyPiDVRrtb56ao2vXgUwUjeqFcm/TbWWwJ8NQTyfBrYD/0aV5T6Tan7m1cBdwJeAp5e6AXywxH4LsLThOK+nWiB5M/C6PsT9q1RDr78J3FxuJ9ck9l8Cvl5ivxX4H6X856iSKZuBvwcOLOVPLvc3l/0/13CsPyttuhM4qY/vm3EeX2V/qOMu8X2j3G6b+rurw3ulPOcxwA3l/fK/qK6uVovYvXXtPTBU/cY+tmXGfU7dbp32S3W6ddpv1fU2k76tbrdO+0Bv3obp1uqzZ1qdUbo6W6vP2vnAFeV/u3+mGqkz8Hh72N7fLm39BjBBw3eIUbiNYl/TQXt3l/9np/5P2uNvuhu3KE8mSZIkSZIktTRq09kkSZIkSZLUAyaRJEmSJEmS1JZJJEmSJEmSJLVlEkmSJEmSJEltmUSSJEmSJElSWyaRJEmSJEmS1JZJJEmSJEmSJLVlEkmSJEmSJEltmUSSJEmSJElSWyaRJEmSJEmS1JZJJEmSJEmSJLVlEkmSJEmSJEltmUSSJEmSJElSWyaRJEmSJEnS/8/e3cfZVZYHv/9dEkFAJbzoFBJsqKJP0Xyqdgq09vFMRTGCGnuqFKWaKD3pC1StaSVYnwcr2BP7iIjFgyeVFKiUlyKWVKgalamPpwURRMNLrSkGSRoI7xqo6Oh1/lj3wM5k79kze/b7/L6fz/7MWvd62de995619r7Wfd9LasokkiRJkiRJkpoyiSRJkiRJkqSmTCJJkiRJkiSpKZNIkiRJkiRJasokkiRJkiRJkpoyiSRJkiRJkqSmTCJJkiRJkiSpKZNIkiRJkiRJasokkiRJkiRJkpoyiSRJkiRJkqSmTCJJkiRJkiSpKZNIkiRJkiRJasokkiRJkiRJkpoyiSRJkiRJkqSmTCJJkiRJkiSpKZNIkiRJkiRJasokkiRJkiRJkpoyiSRJkiRJkqSmTCJJkiRJkiSpKZNIkiRJkiRJasokkiRJkiRJkpoyiSRJkiRJkqSmTCKpb0XEloh4ZYefY2dE/EIb95cR8bx27U+SJEmSpH5hEknzWmY+PTPvBIiICyPirF7HJEmqLyI+EBGfLtPPKRcC9ujg8w39eSEixiPid3sdhyQNih6ciz4ZEf+jU/uXZmtBrwOQJEmarcz8PvD0XschSZq/unEuyszf7+T+pdmyJZL6XkTsFREfi4j/LI+PRcReZdlYRGyNiNURsSMitkfE22u2PTAi/jEifhARN0bEWRHxtZrlGRHPi4hVwEnAe8vVhH+sXV6z/i5XpSPiT8tz/mdEvKNO3B+JiO9HxL3lKsLenXulJEmSJEnqHJNIGgR/BhwNvBj4JeBI4P01y38O2A9YBJwMfCIi9i/LPgE8WtZZUR67ycx1wCXAX5Yubq9rFlRELAP+BHgVcDgwdfymtcDzS9zPK/H9z2b7laRBV8a0+9OI+HZEPBoRF0TESET8U0T8MCK+NHmcjoijI+JfIuLhiPhWRIzV7OewiPjnss1G4KCaZUtKon9BmX97RNxR1r0zIn6vZt1pLzg0sX9EXFP2e0NEPLdmv79WLlA8Uv7+2pTX4JU187XdH54WEZ+OiAdKvW+MiJGybL/yem2PiG3l4kfDbhLlgsXDEfGimrJnRcR/RcSzI2L/iPhcRNwXEQ+V6cUN9vVEjA1e41nFJkm9NCznoqi5iN1sHxGxd0ScHRF3lXPT16JcxI6I10fEbaWO4xHxi628Vs1eLw0/k0gaBCcBH8zMHZl5H/DnwFtrlv+kLP9JZl4L7AReUL7Y/hZwRmY+lpm3Axe1Ma4TgL/JzFsz81HgA5MLIiKAVcAfZ+aDmflD4C+AE9v4/JLUz36LKsn+fOB1wD8B7wOeRfX9450RsQi4BjgLOIAqMf+ZiHhW2cffATdRfWE/kwYXAoodwGuBZwJvB86JiJfWLJ/ugsN0TqQ67+wPbAY+BBARB5TYPw4cCHwUuCYiDpzBPleUWA4t2/4+8F9l2YXABNXFh5cAxwINxyzKzMeBq4A31xSfAPxzZu6geq3/Bvh54Dnlec6bQYz1zCo2SeoDw3IuqjXdPj4C/DLwa6Uu7wV+FhHPBy4F3l3qfi3wjxGxZ81+m75WADN4vTTkTCJpEBwC3FUzf1cpm/RAZk7UzD9G1Tf5WVTjft1ds6x2uh1x1e6vNsZnAfsAN5UM/cPA50u5JM0Hf5WZ92bmNuB/Azdk5jcz80fAZ6mSEL8DXJuZ12bmzzJzI/AN4LiIeA7wK8D/yMzHM/OrwD82erLMvCYz/yMr/wx8EfjvNavUveAwg3p8NjO/Xs4zl1C1LgU4HvhuZv5tZk5k5qXAv1F98W7mJ1TJo+dl5k8z86bM/EFpjXQc8O7MfLQkgc6h+QWIv5uyzltKGZn5QGZ+plxM+SFVEuz/mEGMu5hDbJLUS8NyLqrV6AL6U4B3AO/KzG3l/PIv5WLDbwPXZObGzPwJVbJpb6pk02xeK6Z7vWZZDw0oB9bWIPhPqiuot5X555SyZu6jumK6GPj3UnboNOtnnbLHqJJBk34O2Fqmt0/Z33Nqpu+nutr7wnIglqT55t6a6f+qM/90qmP7myKiNvHyVOA6qkT9Q6Wl56S7aHAcj4jXAGdQXUF9CtWxe1PNKo0uODRzT4Ntpl7gmIxv0Qz2+bdU9bgsIhYCn6bquv3zVPXfXjVoBaq6NLsAch2wT0QcRfU6v5jqCz8RsQ9VsmcZVWsqgGdExB6Z+dMZxDqp1dgkqZeG5VxUq9E+DgKeBvxHnW12OWdl5s8i4m52PWfN5LWC6V8vzQO2RNIguBR4fxnj4SCqcYU+3WQbypfjq4APRMQ+EfHfgLdNs8m9wC9MKbsFeEtE7BHVGEi1V2+vAFZGxBHlS/oZNc/9M+CvqZqwPhuqpp8R8epmcUvSPHI38LeZubDmsW9mrqVK1O8fEfvWrP+cejuJ6mYLn6G6sjqSmQupmupHvfXbZPICR63nAJMXDh5l94sQAJSrx3+emUdQXQV+LdX56W7gceCgmtfjmZn5wukCKee7K6i6tL0Z+FxpdQSwmuoq91GZ+Uzg5aW83mvTMOZWY5OkATDI56Ja9wM/Ap5byBJnAwAAIABJREFUZ9ku56wy9MahPHnOmo3pXi/NAyaRNAjOomoi+W2qTP7NpWwmTqXqM3wP1ZXfS6m+BNdzAXBE6X72D6XsXVRdEx6mGptpspzM/CfgY8BXqMbJ+MqU/Z1Wyq+PiB8AX2L2zVUlaZh9GnhdRLy6JOufVgYNXZyZd1Ed+/88IvaMiF+ncVexPYG9KC1Qy5XgYzsc+7XA8yPiLRGxICJ+GzgC+FxZfgtwYkQ8NSJGgTdObhgRvxERS8vYfT+g6prws8zcTtX14eyIeGZEPCUinhsRM+l+9ndU3RVOKtOTnkF1BfnhMo7TGXW2nXQL8PKIeE5E7AecPrlgjrFJUj8b5HPRE8pF7PXARyPikFKXXy3JrSuA4yPimIh4KtUFhseBf2nhqRq+Xm2rjPqaSST1rcxckplfyswfZeY7M/Pg8nhn6ZtLZo5n5uJ625Xp+zLz+HK19FfKKltr1o3M3Fymv5uZLy7Z9DeUsm9k5gsz8xmZ+dbMfHNmvr9m+7WZ+XOZeUhmrp+yvx9l5vsy8xfK8/9iZn68oy+aJA2QzLwbWE41cOd9VFc3/5Qnv5+8BTgKeJAq+XFxg/38kGrAzyuAh8p2Gzoc+wNULYhWAw9QDV762sy8v6zyP6iuBj9ENTB3bWLn54ArqRJIdwD/THWhA6oWSXsCt5dtrwQOnkE8N1C1JDqEajDUSR+jGvfifuB6qvH5Gu1jI3A51UWbm3gyITappdgkqZ8N8rmojj+huuh+I1W8HwaekpnfoRrL6K+ozgevA16XmT+e7RPM4PXSkIvMesPASMOhdGHbk+pg+itUV45/NzP/YdoNJUmSJEnSLhxYW8PuGVRd2A6hGvPobODqnkYkSZIkSdIAsiWSJEmatyLiNnYfIBvg9zLzkm7H00hEfJKqK8JUn87M3+92PJKk9hmUc5EEJpEkSZIkSZI0A33dne2ggw7KJUuWdGz/jz76KPvuu2/zFQfYsNfR+g22+Vi/m2666f7MfFaPQpqXGp1Lhv3zN8l6DhfrOVxarafnku6rdy7p58+psc1ev8YFxtYqY5teq+eSvk4iLVmyhG984xsd2//4+DhjY2Md238/GPY6Wr/BNh/rFxF39Saa+avRuWTYP3+TrOdwsZ7DpdV6ei7pvnrnkn7+nBrb7PVrXGBsrTK26bV6LvE2fJIkSZIkSWrKJJIkSZIkSZKaMokkSZIkSZKkpkwiSZIkSZIkqSmTSJIkSZIkSWrKJJIkSZIkSZKaappEiohDI+K6iLg9Im6LiHeV8g9ExLaIuKU8jqvZ5vSI2BwR34mIV9eULytlmyNiTWeqJEmSJEmSpHZbMIN1JoDVmXlzRDwDuCkiNpZl52TmR2pXjogjgBOBFwKHAF+KiOeXxZ8AXgVsBW6MiA2ZeXs7KiJJkiRJkqTOadoSKTO3Z+bNZfqHwB3Aomk2WQ5clpmPZ+b3gM3AkeWxOTPvzMwfA5eVdSVJkiRpWhGxPiJ2RMStU8r/KCL+rfSa+MuacntHSFKbzaQl0hMiYgnwEuAG4GXAqRHxNuAbVK2VHqJKMF1fs9lWnkw63T2l/Kg6z7EKWAUwMjLC+Pj4bEKclZ07d3Z0//1g2Os4yPXbtO2R3cqWLtpvl/lBrt9MWD9J0nyxZM01u5VduGzfHkQy0C4EzgMuniyIiN+gujD9S5n5eEQ8u5TbO6LN6n2GAbasPb7LkUjqpRknkSLi6cBngHdn5g8i4nzgTCDL37OBd8w1oMxcB6wDGB0dzbGxsbnusqHx8XE6uf9+MOx1HOT6raxzIt5y0tgu84Ncv5mwfpIkaaYy86vlonatPwDWZubjZZ0dpfyJ3hHA9yJisncElN4RABEx2TvCJJIkzcCMkkgR8VSqBNIlmXkVQGbeW7P8r4HPldltwKE1my8uZUxTLkmSJEmz9Xzgv0fEh4AfAX+SmTcyx94R0LyHRD+3OO5EbKuXTtQtn+3z9Ovr1q9xgbG1ytg6o2kSKSICuAC4IzM/WlN+cGZuL7O/CUz2Td4A/F1EfJSq6ejhwNeBAA6PiMOokkcnAm9pV0UkSf0rItYDrwV2ZOaLStkBwOXAEmALcEJmPlTOO+cCxwGPASsnx+aLiBXA+8tuz8rMi7pZD0lS31kAHAAcDfwKcEVE/EI7dtysh0Q/tzieaWyz6aJWrxU97N6Svpl+fd36NS4wtlYZW2c0HVibauyjtwKviIhbyuM44C8jYlNEfBv4DeCPATLzNuAKqiahnwdOycyfZuYEcCrwBarBua8o60qSht+FwLIpZWuAL2fm4cCXyzzAa6guQBxOdQX4fHgi6XQG1RXjI4EzImL/jkcuSepnW4GrsvJ14GfAQTTuHTFdrwlJUhNNWyJl5teoWhFNde0023wI+FCd8mun206SNJwajGOxHBgr0xcB48BppfzizEzg+ohYGBEHl3U3ZuaDABGxkSoxdWmHw5ck9a9/oLqgfV0ZOHtP4H7sHSFJHTGru7NJktRGIzXdou8BRsr0InYfr2LRNOW7mcmdPge5L/psWM/hYj0HV73xZIaxnp0UEZdSXVA4KCK2UrVOXQ+sj4hbgR8DK8pFiNsiYrJ3xASld0TZz2TviD2A9faOkKSZM4kkSeq5zMyIyDbur+mdPge5L/psWM/hYj0HV73xZC5ctu/Q1bOTMvPNDRb9ToP17R0hSW02kzGRJEnqhHtLNzXK38nbMjuOhSRJktSHTCJJknplA7CiTK8Arq4pf1tUjgYeKd3evgAcGxH7lwG1jy1lkiRJkrrA7mySpI5rMI7FWqpbMZ8M3AWcUFa/FjgO2Aw8BrwdIDMfjIgzgRvLeh+cHGRbkiRJUueZRJIkddw041gcU2fdBE5psJ/1VIOoSpIkSeoyk0iSJEmSpCcsqTMQvCSBSSRJkiRJUosaJZy2rD2+y5FI6gaTSJIkqSv8oSFJkjTYvDubJEmSJEmSmjKJJEmSJEmSpKZMIkmSJEmSJKkpk0iSJEmSJElqyiSSJEmSJEmSmjKJJEmSJEmSpKZMIkmSJEmSJKmpBb0OQJIkDZcla67pdQiSJEnqAFsiSZIkSZIkqSmTSJIkSZIkSWrKJJIkSZKkvhcR6yNiR0TcWmfZ6ojIiDiozEdEfDwiNkfEtyPipTXrroiI75bHim7WQZIGnUkkSZIkSYPgQmDZ1MKIOBQ4Fvh+TfFrgMPLYxVwfln3AOAM4CjgSOCMiNi/o1FL0hAxiSRJkiSp72XmV4EH6yw6B3gvkDVly4GLs3I9sDAiDgZeDWzMzAcz8yFgI3USU5Kk+rw7myRJkqSBFBHLgW2Z+a2IqF20CLi7Zn5rKWtUXm/fq6haMTEyMsL4+Pguy3fu3LlbWb+YaWyrl050LIZ6z79p2yOM7A1/dcnVu5QvXbRfx+KYqWF4P3vB2FrTz7E1YxJJkiRJ0sCJiH2A91F1ZWu7zFwHrAMYHR3NsbGxXZaPj48ztaxfzDS2lWuu6VgMW07a/flXrrmG1UsnOHvTgqbrdtswvJ+9YGyt6efYmrE7myRJkqRB9FzgMOBbEbEFWAzcHBE/B2wDDq1Zd3Epa1QuSZoBWyJJkjRElky5qrx66QRjvQlFkjoqMzcBz56cL4mk0cy8PyI2AKdGxGVUg2g/kpnbI+ILwF/UDKZ9LHB6l0OXpIFlSyRJkiRJfS8iLgX+FXhBRGyNiJOnWf1a4E5gM/DXwB8CZOaDwJnAjeXxwVImSZoBWyJJkiRJ6nuZ+eYmy5fUTCdwSoP11gPr2xpcn5vaSlWSWmVLJEmSJEmSJDVlEkmSJEmSJElN2Z1NkiRJkobEkjXXsHrpBCvtwiapA2yJJEmSJEmSpKZMIkmSJEmSJKkpk0iSJEmSJElqqumYSBFxKHAxMAIksC4zz42IA4DLgSXAFuCEzHwoIgI4FzgOeAxYmZk3l32tAN5fdn1WZl7U3upIkqROaHR76C1rj+9yJJIkSeqVmbREmgBWZ+YRwNHAKRFxBLAG+HJmHg58ucwDvAY4vDxWAecDlKTTGcBRwJHAGRGxfxvrIkmSJEmSpA5pmkTKzO2TLYky84fAHcAiYDkw2ZLoIuANZXo5cHFWrgcWRsTBwKuBjZn5YGY+BGwElrW1NpIkSZIkSeqIpt3ZakXEEuAlwA3ASGZuL4vuoeruBlWC6e6azbaWskblU59jFVULJkZGRhgfH59NiLOyc+fOju6/Hwx7HQe5fquXTuxWNrUug1y/mbB+kiRJkjQ4ZpxEioinA58B3p2ZP6iGPqpkZkZEtiOgzFwHrAMYHR3NsbGxduy2rvHxcTq5/34w7HUc5PqtrDO+yJaTxnaZH+T6zYT1k9SIYzBJkiT1nxklkSLiqVQJpEsy86pSfG9EHJyZ20t3tR2lfBtwaM3mi0vZNmBsSvl466FLkoZBRPwx8LtUN2/YBLwdOBi4DDgQuAl4a2b+OCL2orrZwy8DDwC/nZlbehH3MGhHoqbRPiRJkjR8mo6JVO62dgFwR2Z+tGbRBmBFmV4BXF1T/raoHA08Urq9fQE4NiL2LwNqH1vKJEnzVEQsAt4JjGbmi4A9gBOBDwPnZObzgIeAk8smJwMPlfJzynqSJEmSumAmLZFeBrwV2BQRt5Sy9wFrgSsi4mTgLuCEsuxa4DhgM/AY1RVlMvPBiDgTuLGs98HMfLAttZAkDbIFwN4R8RNgH2A78ArgLWX5RcAHqO72ubxMA1wJnBcRkZlt6VI9SGwBJEnqZ56npOHUNImUmV8DosHiY+qsn8ApDfa1Hlg/mwAlScMrM7dFxEeA7wP/BXyRqvvaw5k5Ofp87Y0YnrhJQ2ZORMQjVF3e7q/d70xu0jDoA5/XG5y/npG9dx+0v9k+6q0/0+drxWyer1FdBv39nCnrObjqfaaHsZ6SpOE2q7uzSZLUTqV783LgMOBh4O+BZXPd70xu0jDoA5/XG5y/ntVLJzihQT0b7WPqIP+zeb5WzOb56q0Lg/9+zpT1HFz1PtMXLtt36OopSRpuTcdEkiSpg14JfC8z78vMnwBXUXWjXhgRkxc6Jm/QADU3byjL96MaYFuSJElSh9kSSZLUS98Hjo6Ifai6sx0DfAO4Dngj1R3apt68YQXwr2X5V+bjeEjDxnEzJEmSBoMtkSRJPZOZN1ANkH0zsInqvLQOOA14T0Rsphrz6IKyyQXAgaX8PcCargctSeqJiFgfETsi4taasv8VEf8WEd+OiM9GxMKaZadHxOaI+E5EvLqmfFkp2xwRnkckaRZsiSRJ6qnMPAM4Y0rxncCRddb9EfCmbsQlSeo7FwLnARfXlG0ETi83W/gwcDpwWkQcAZwIvBA4BPhSRDy/bPMJ4FVUN264MSI2ZObtXaqDJA00WyJJkiRJ6nuZ+VXgwSllX6y5m+f1VOPoQXXThssy8/HM/B6wmerixJHA5sy8MzN/TNVtenlXKiBJQ8CWSJIkSZKGwTuAy8v0Iqqk0qStpQzg7inlR9XbWUSsAlYBjIyMMD4+vsvynTt37lbWD1YvnWBk7+pvP6oXWz+8jv36foKxtcrYOsMkkiRJkqSBFhF/BkwAl7Rrn5m5jmqcPkZHR3NsbGyX5ePj40wt6wcr11zD6qUTnL2pP3/q1Ytty0ljvQmmRr++n2BsrTK2zujPI4skSZIkzUBErAReCxxTc8fObcChNastLmVMUy5JasIxkSRJkiQNpIhYBrwXeH1mPlazaANwYkTsFRGHAYcDXwduBA6PiMMiYk+qwbc3dDtuSRpUtkSSJEmS1Pci4lJgDDgoIrZS3dnzdGAvYGNEAFyfmb+fmbdFxBXA7VTd3E7JzJ+W/ZwKfAHYA1ifmbd1vTKSNKBMIkmSJEnqe5n55jrFF0yz/oeAD9Upvxa4to2hSdK8YXc2SZIkSZIkNWUSSZIkSZIkSU2ZRJIkSZIkSVJTJpEkSZIkSZLUlANrSx22ZM01vQ5BkiRJkqQ5M4kkSZJ2YfJbkiRJ9ZhEkiRpyJkUkiRJUjuYRJL6yNQfequXTrByzTVsWXt8jyKSpP7SKCF24bJ9uxyJJEnS/OPA2pIkSZIkSWrKJJIkSZIkSZKaMokkSZIkSZKkpkwiSZIkSZIkqSmTSJIkSZIkSWrKu7NJktQn6t15zLszSpIkqV/YEkmSJEmSJElNmUSSJEmSJElSU3ZnkyRJ80q9boNg10FJkqRmbIkkSZIkSZKkpkwiSZIkSep7EbE+InZExK01ZQdExMaI+G75u38pj4j4eERsjohvR8RLa7ZZUdb/bkSs6EVdJGlQ2Z1NkiRJ0iC4EDgPuLimbA3w5cxcGxFryvxpwGuAw8vjKOB84KiIOAA4AxgFErgpIjZk5kNdq0WbNOqaK0mdZEskSZIkSX0vM78KPDileDlwUZm+CHhDTfnFWbkeWBgRBwOvBjZm5oMlcbQRWNb56CVpONgSSZIkSdKgGsnM7WX6HmCkTC8C7q5Zb2spa1S+m4hYBawCGBkZYXx8fJflO3fu3K2sm1YvnWi4bGTv6Zf3Ur3Yevk6Tur1+zkdY2uNsXVG0yRSRKwHXgvsyMwXlbIPAP8XcF9Z7X2ZeW1ZdjpwMvBT4J2Z+YVSvgw4F9gD+FRmrm1vVSRJkiTNV5mZEZFt3N86YB3A6Ohojo2N7bJ8fHycqWXdtHKa7myrl05w9qb+bC9QN7ZNj+62XrfvmNnr93M6xtYaY+uMmXRnu5D6TTzPycwXl8dkAukI4ETghWWb/yci9oiIPYBPUPVNPgJ4c1lXkiRJklp1b+mmRvm7o5RvAw6tWW9xKWtULkmagaZJpAZ9jxtZDlyWmY9n5veAzcCR5bE5M+/MzB8Dl5V1JUmSJKlVG4DJO6ytAK6uKX9buUvb0cAjpdvbF4BjI2L/cie3Y0uZJGkG5tLG8dSIeBvwDWB1GZhuEXB9zTq1fYyn9j0+qt5Om/U9bqdB7oc4U8Nex0Go31z6o0/2Ge/3OrZqEN6/uRj2+rVLRCwEPgW8iOpOOe8AvgNcDiwBtgAnZOZDERFUXaOPAx4DVmbmzT0IWwPAOxdJwyUiLgXGgIMiYivVXdbWAldExMnAXcAJZfVrqc4Vm6nOF28HyMwHI+JM4May3gczc6YXzCVp3ms1iXQ+cCbVl/0zgbOpvvTPWbO+x+00yP0QZ2rY6zgI9Zuuv3ozk33Gt5w01r6A+sggvH9zMez1a6Nzgc9n5hsjYk9gH+B9zOKWzb0JW5LUTZn55gaLjqmzbgKnNNjPemB9G0OTpHljJmMi7SYz783Mn2bmz4C/puquBvY9liTNQkTsB7wcuAAgM3+cmQ8z+1s2S5IkSeqwlpJIU76w/yZwa5neAJwYEXtFxGFUV4q/TtVc9PCIOKxcZT6xrCtJmt8Oo7rT599ExDcj4lMRsS+zv2WzJEmSpA5r2p2tQd/jsYh4MVV3ti3A7wFk5m0RcQVwOzABnJKZPy37OZVq0Lo9gPWZeVvbayNJGjQLgJcCf5SZN0TEuVRd157Qyi2bZzK+Xj+OWVVvDLVGMc50vLXJsdWGXb33c7b17rfPQz39+LnthGGsZ73P4zDWU5I03JomkRr0Pb5gmvU/BHyoTvm1VAPcSZI0aSuwNTNvKPNXUiWR7o2IgzNz+wxv2byLmYyv149jVtUbQ63RmGgzHW9tcmy1YXfhsn13ez9nOybdIIw/14+f204YxnrW+zzW+9xKqjS6OcKWtcd3ORJJtVrqziZJUjtk5j3A3RHxglJ0DFVr1tneslmSJElShw3/pUlJUr/7I+CSMmbenVS3YX4Ks7hlsyRJkqTOM4kkSeqpzLwFGK2zaFa3bJbmql7XCbtNSJIkPcnubJIkSZIkSWrKJJIkSZIkSZKaMokkSZIkSZKkpkwiSZIkSZIkqSmTSJIkSZIkSWrKJJIkSZIkSZKaWtDrACRJUmP1bjsvSZIk9YJJpCEz9cfG6qUTjPUmFEmSJEmSNERMIkmS1GW2LpIkSdIgMok0oPwBIkmSJEmSusmBtSVJkiQNtIj444i4LSJujYhLI+JpEXFYRNwQEZsj4vKI2LOsu1eZ31yWL+lt9JI0OEwiSZIkSRpYEbEIeCcwmpkvAvYATgQ+DJyTmc8DHgJOLpucDDxUys8p60mSZsDubJIkSZIG3QJg74j4CbAPsB14BfCWsvwi4APA+cDyMg1wJXBeRERmZjcDVmsaDeuxZe3xXY5Emp9siSRJkiRpYGXmNuAjwPepkkePADcBD2fmRFltK7CoTC8C7i7bTpT1D+xmzJI0qGyJJEmS1IBXvKX+FxH7U7UuOgx4GPh7YFkb9rsKWAUwMjLC+Pj4Lst37ty5W1k3rV460XDZyN7TL++lTsU21/ei1+/ndIytNcbWGSaRJEnSwNu07RFWeudSab56JfC9zLwPICKuAl4GLIyIBaW10WJgW1l/G3AosDUiFgD7AQ9M3WlmrgPWAYyOjubY2Nguy8fHx5la1k3THfNWL53g7E39+VOvU7FtOWlsTtv3+v2cjrG1xtg6w+5skiRJkgbZ94GjI2KfiAjgGOB24DrgjWWdFcDVZXpDmacs/4rjIUnSzJhEkiRJkjSwMvMGqgGybwY2Uf3GWQecBrwnIjZTjXl0QdnkAuDAUv4eYE3Xg5akAdWfbRwlSZIkaYYy8wzgjCnFdwJH1ln3R8CbuhGXJA0bWyJJkiRJkiSpKZNIkiRJkiRJasokkiRJkiRJkpoyiSRJkiRJkqSmHFhbkiSpg5asuaZu+Za1x3c5EkmSpLmxJZIkSZIkSZKasiWSJEmSJGmg1Wv1aYtPqf1siSRJkiRJkqSmbIkkzRNenZEkSZIkzYUtkSRJkiRJktSULZEkSZJmqdEd1yRJkoaZSSRJkiRJ6lMmrSX1k6ZJpIhYD7wW2JGZLyplBwCXA0uALcAJmflQRARwLnAc8BiwMjNvLtusAN5fdntWZl7U3qpIw6vRlwfHNJIkSZIkdctMWiJdCJwHXFxTtgb4cmaujYg1Zf404DXA4eVxFHA+cFRJOp0BjAIJ3BQRGzLzoXZVZFh55UGSJEmSJPWDpgNrZ+ZXgQenFC8HJlsSXQS8oab84qxcDyyMiIOBVwMbM/PBkjjaCCxrRwUkSYMvIvaIiG9GxOfK/GERcUNEbI6IyyNiz1K+V5nfXJYv6WXckiRJ0nzS6phII5m5vUzfA4yU6UXA3TXrbS1ljcp3ExGrgFUAIyMjjI+Ptxhiczt37uzo/tth9dKJOW0/sjd9X8e5GPb3cGTv6befTd3r7afXr90gvH9zMez1a7N3AXcAzyzzHwbOyczLIuKTwMlUrVtPBh7KzOdFxIllvd/uRcCSJEnSfDPngbUzMyMi2xFM2d86YB3A6Ohojo2NtWvXuxkfH6eT+2+HlXPszrZ66QQn9Hkd52LY38PVSyc4e1Pjf9MtJ43NKY7ZbN8Jg/D+zcWw169dImIxcDzwIeA9ZXy9VwBvKatcBHyAKom0vEwDXAmcFxGRmW07D0mSJEmqr9Uk0r0RcXBmbi/d1XaU8m3AoTXrLS5l24CxKeXjLT63ZslBmSX1uY8B7wWeUeYPBB7OzMnmc7WtV59o2ZqZExHxSFn//u6FK0mSJM1PrSaRNgArgLXl79U15adGxGVUA2s/UhJNXwD+IiL2L+sdC5zeetiSpGEQEZN3/7wpIsbauN+mXaN72d1wrl2VZ6NZt9hhMYj1bOXzN1+6yQ5jPet9Poexnr0SEQuBTwEvorqRzzuA7zDLO0pLkqbXNIkUEZdStSI6KCK2Ut1lbS1wRUScDNwFnFBWv5bqYLyZ6oD8doDMfDAizgRuLOt9MDOnDtYtSZp/Xga8PiKOA55GNSbSuVQ3ZlhQWiNNtmqFJ1u8bo2IBcB+wANTdzqTrtG97G44167Ks9GsW+ywGMR6ttKleL50kx3Getb7v79w2b5DV88eOhf4fGa+sdyMYR/gfczijtK9CVuSBkvTb1uZ+eYGi46ps24CpzTYz3pg/ayikyQNtcw8ndIytbRE+pPMPCki/h54I3AZu7d4XQH8a1n+FcdDkqT5LSL2A14OrATIzB8DP46I5Tw5pMZFVMNpnEbNHaWB6yNi4eRQHV0OXZIGzmBdspMkzRenAZdFxFnAN4ELSvkFwN9GxGbgQeDEHsUnSeofhwH3AX8TEb8E3ER118/Z3lF6lyRSs67R3eqO2EpX3X7u4tvN2Gbz/vRz91Jja42xdYZJJGkec9B19ZPMHKfcdCEz7wSOrLPOj4A3dTUwSVK/WwC8FPijzLwhIs6l6rr2hFbuKN2sa3S3ul220gW6n7v4djO22XQb7udutMbWGmPrjKf0OgBJkiRJmoOtwNbMvKHMX0mVVLq33EmaGd5RWpLURH+mpyVJkiRpBjLznoi4OyJekJnfoRq79fbymPEdpXsQujrMVvdS+5lEkiRJkjTo/gi4pNyZ7U6qu0Q/hVncUVqS1JxJJEmSJEkDLTNvAUbrLJrVHaUlSdNzTCRJkiRJkiQ1ZRJJkiRJkiRJTZlEkiRJkiRJUlMmkSRJkiRJktSUSSRJkiRJkiQ15d3ZJEmSemDJmmt2K9uy9vgeRCJJkjQztkSSJEmSJElSU7ZEkiRJ6hP1WieBLZQkSVJ/sCWSJEmSJEmSmjKJJEmSJEmSpKbsziZJkiRJmve84YHUnC2RJEmSJEmS1JRJJEmSJEmSJDVlEkmSJEmSJElNOSaSJEmSdlFvXBBwbBBJkuY7WyJJkiRJkiSpKZNIkiRJkiRJasokkiRJkiRJkpoyiSRJkiRp4EXEHhHxzYj4XJk/LCJuiIjNEXF5ROxZyvcq85vL8iW9jFuSBokDa2sXDqQpSZKkAfUu4A7gmWX+w8A5mXlZRHwSOBk4v/x9KDOfFxEnlvV+uxcBS9KgMYmkGTG5JEmSpH4VEYuB44EPAe+JiABeAbylrHIR8AGqJNLyMg1wJXBeRERmZjdjlqRBZBJJkqQOaZSAlySy7+rZAAAgAElEQVS13ceA9wLPKPMHAg9n5kSZ3wosKtOLgLsBMnMiIh4p699fu8OIWAWsAhgZGWF8fHyXJ9y5c+duZZ2weulE85WmGNm7te26oR9i+6tLrt6trIpr93W78R43063PWiuMrTX9HFszJpEkSZLmMZOdGnQR8VpgR2beFBFj7dpvZq4D1gGMjo7m2Niuux4fH2dqWSesbOF/dPXSCc7e1J8/9fo1tkZxbTlprPvBTNGtz1orjK01/RxbM/333ytJkqS2M1mkIfYy4PURcRzwNKoxkc4FFkbEgtIaaTGwray/DTgU2BoRC4D9gAe6H7YkDR7vziZJkiRpYGXm6Zm5ODOXACcCX8nMk4DrgDeW1VYAk32YNpR5yvKvOB6SJM2MSSRJkiRJw+g0qkG2N1ONeXRBKb8AOLCUvwdY06P4JGng2J1NkiRpiNhtTfNZZo4D42X6TuDIOuv8CHhTVwOTpCFhEkkaYPV+KGxZe3wPIpEk9YIJI0mS1E1zSiJFxBbgh8BPgYnMHI2IA4DLgSXAFuCEzHwoIoJqgLvjgMeAlZl581yeX5IkSZKGhYlhSf2uHS2RfiMz76+ZXwN8OTPXRsSaMn8a8Brg8PI4Cji//JUkzVMRcShwMTACJLAuM8/1goS0q8kflquXTrR0u29JkqR26MTA2suBi8r0RcAbasovzsr1VLfcPLgDzy9JGhwTwOrMPAI4GjglIo7gyQsShwNf5slBT2svSKyiuiAhSZIkqQvm2hIpgS9GRAL/b2auA0Yyc3tZfg/V1WWARcDdNdtuLWXba8qIiFVUPwwYGRlhfHx8jiE2tnPnzo7uvx1WL52Y0/YjezfeR726z/b5ev36Dft7ON3710ij12M2++nWazoI799cDHv92qGcL7aX6R9GxB1U54blwFhZ7SKqQVJPo+aCBHB9RCyMiINrzjuSJEmSOmSuSaRfz8xtEfFsYGNE/FvtwszMkmCasZKIWgcwOjqaY2NjcwyxsfHxcTq5/3aYa5P11UsnOHtT/bd5y0ljc36+evvopmF/D6d7/xpp9J7MJo5uva+D8P7NxbDXr90iYgnwEuAGunBBohtJvrleCGiHVpLRg8h6docXGVpX730bxnpKkobbnJJImbmt/N0REZ+luoXmvZNXhUt3tR1l9W3AoTWbLy5lkqR5LiKeDnwGeHdm/qAa+qjSqQsS3Ujy9cPYNa0koweR9ewOLzK0rt7x4MJl+w5dPaVh02iwc++IrPmq5W8hEbEv8JTS/WBf4Fjgg8AGYAWwtvy9umyyATg1Ii6jGlD7EbsfSJIi4qlUCaRLMvOqUuwFCakP1fsx5Q8pSZLmj7kMrD0CfC0ivgV8HbgmMz9PlTx6VUR8F3hlmQe4FrgT2Az8NfCHc3huSdIQKHdbuwC4IzM/WrNo8oIE7H5B4m1RORovSEiSJEld03JLpMy8E/ilOuUPAMfUKU/glFafT5I0lF4GvBXYFBG3lLL3UV2AuCIiTgbuAk4oy64FjqO6IPEY8PbuhitJkiTNX8M/eIAkqW9l5teAaLDYCxKSJKkvOVaS5qu5dGeTJEmSJEnSPGESSZIkSZIkSU3ZnU0aMo2a1kqSJEmSNBcmkSRJktQyxwWRJGn+MImkoVDvC6xfXiVJkiRJah+TSJqTYU/eeHVVkqTWeA6VJGn4OLC2JEmSpIEVEYdGxHURcXtE3BYR7yrlB0TExoj4bvm7fymPiPh4RGyOiG9HxEt7WwNJGhy2RJrHHIBZkiRJQ2ACWJ2ZN0fEM4CbImIjsBL4cmaujYg1wBrgNOA1wOHlcRRwfvkrSWrCJJKECTVJknpp6nl49dIJVq65xq5vmpHM3A5sL9M/jIg7gEXAcmCsrHYRME6VRFoOXJyZCVwfEQsj4uCyH0nSNEwiaWg5FoMkSdL8EhFLgJcANwAjNYmhe4CRMr0IuLtms62lzCSSJDVhEqmP2BpGkiRJak1EPB34DPDuzPxBRDyxLDMzInKW+1sFrAIYGRlhfHx8l+U7d+7crWyuVi+daMt+RvZu377arV9ja1dc7f5MQGc+a+1ibK3p59iaMYkkSZIkaaBFxFOpEkiXZOZVpfjeyW5qEXEwsKOUbwMOrdl8cSnbRWauA9YBjI6O5tjY2C7Lx8fHmVo2VyvbdFF59dIJzt7Unz/1+jW2dsW15aSxuQczRSc+a+1ibK3p59ia6b//XkmSJA0tW16r3aJqcnQBcEdmfrRm0QZgBbC2/L26pvzUiLiMakDtRxwPSZJmxiSS1CZ+KZYkSeqJlwFvBTZFxC2l7H1UyaMrIuJk4C7ghLLsWuA4YDPwGPD27oYrSYPLJJIkSZLmnXoXf7z5xmDKzK8B0WDxMXXWT+CUjgalectji4adSST1nAdaSZJUj3da1bCyBbukQWUSSZIkSQPFC1CShoHHMg0ik0hqO68aSpIkSVLFlmcaJiaR1DUePCVJUrf5/UPSIKl3zFq9dIKx7oci1fWUXgcgSZIkSZKk/mdLJEmSJA08WxxJktR5tkSSJEmSJElSU7ZEkiRJkiSpj3nzIvULk0gaKFMPnquXTrCyB83XbTIvSdLw8UeaJEnTM4kkSVIbmFyWJEnSsDOJ1AP+0OgtX39JkiRJw6DebxtbT6qTTCJJ2o3N+SVJetJsLkB5rpQkDTOTSOpLthaSJEmDyO8wkqRhZhJJkiRJkqQhYa8CdZJJJEmSJEmS1DLHZuqOfnidTSJJmpNOXunwKookSRp0dnGUNEyGNok0k4P16qUTrFxzjT9IJUmSJEmSmhjaJFK39UOzMqmf2IpIkiRJ6h/t+H4+dR+TDTNm83xzjUG91fUkUkQsA84F9gA+lZlrux1Dt9h0VcPGz7T6RS/PJf4fSNJwmE+/S6Tp9MN3Gy9AD46uJpEiYg/gE8CrgK3AjRGxITNv72YcU82mFVE//INJ812nWv558hoM3TyXeMyXpOHUr79LJM2MPYF6p9stkY4ENmfmnQARcRmwHOi7g7U/HKTOqP3fmq75qzSNgTmXSJL6lucSaQDM5nf5bLraddKwJ7MiM7v3ZBFvBJZl5u+W+bcCR2XmqTXrrAJWldkXAN/pYEgHAfd3cP/9YNjraP0G23ys389n5rN6EcywaOO5ZNg/f5Os53CxnsOl1Xp6LpmjNp1L+vlzamyz169xgbG1ytim19K5pO8G1s7MdcC6bjxXRHwjM0e78Vy9Mux1tH6DzfqpU2ZyLpkv74/1HC7Wc7jMl3oOqmbnkn5+/4xt9vo1LjC2VhlbZzyly8+3DTi0Zn5xKZMkaaY8l0iS5spziSS1oNtJpBuBwyPisIjYEzgR2NDlGCRJg81ziSRprjyXSFILutqdLTMnIuJU4AtUt9Jcn5m3dTOGKbrSba7Hhr2O1m+wWT/NWhvPJfPl/bGew8V6Dpf5Us++06ZzST+/f8Y2e/0aFxhbq4ytA7o6sLYkSZIkSZIGU7e7s0mSJEmSJGkAmUSSJEmSJElSU/MmiRQRb4qI2yLiZxExWlP+qoi4KSI2lb+vqLPthoi4tbsRz85s6xcR+0TENRHxb2W7tb2LvrlW3r+I+OVSvjkiPh4R0Zvom5umfgdGxHURsTMizpuyzZtL/b4dEZ+PiIO6H/nMtFi/PSNiXUT8e/mc/lb3I5+ZVupXs07fH1+GTUQsi4jvlGPDml7H00hErI+IHbWfj4g4ICI2RsR3y9/9S3mU49zmckx4ac02K8r6342IFTXldY+RjZ6jg/U8tPyf3F7+j941jHWNiKdFxNcj4lulnn9eyg+LiBtKbJdHNcAvEbFXmd9cli+p2dfppfw7EfHqmvK6n+1Gz9FJEbFHRHwzIj43rPWMiC3lc3VLRHyjlA3V51b1NfoM9lqj42k/mXps6BcRsTAirozqO+cdEfGrvY5pUkT8cXk/b42ISyPiaT2MZcbfTfoktv9V3tNvR8RnI2Jhv8RWs2x1RGT08W+53WTmvHgAvwi8ABgHRmvKXwIcUqZfBGybst3/CfwdcGuv69DO+gH7AL9RpvcE/jfwml7Xo53vH/B14GgggH8a0PrtC/w68PvAeTXlC4AdwEFl/i+BD/S6Hu2qX1n258BZZfopk3Xtx0cr9SvLB+L4MkwPqsFT/wP4hXLs+xZwRK/jahDry4GX1n4+yv/6mjK9BvhwmT6uHOeiHPduKOUHAHeWv/uX6f3LsrrHyEbP0cF6Hgy8tEw/A/h34Ihhq2t57qeX6acCN5SYrgBOLOWfBP6gTP8h8MkyfSJweZk+onxu9wIOK5/nPab7bDd6jg6/r+8px7fPTRfDINcT2MKUc9OwfW591H3f+/Y8QoPjaa/jmhLjLseGfnkAFwG/W6b3BBb2OqYSyyLge8DeZf4KYGUP45nxd5M+ie1YYEGZ/nA/xVbKD6Ua3P+uqeeTfn7Mm5ZImXlHZn6nTvk3M/M/y+xtwN4RsRdARDyd6kB3Vvcibc1s65eZj2XmdWWdHwM3A4u7F/HszLZ+EXEw8MzMvD6r/9CLgTd0MeRZmaZ+j2bm14AfTVkU5bFvuTL5TOA/p27fL1qoH8A7gP+7rPezzLy/w2G2rJX6DdLxZcgcCWzOzDvLse8yYHmPY6orM78KPDileDnVF13K3zfUlF+cleuBheU4+GpgY2Y+mJkPARuBZU2OkY2eoyMyc3tm3lymfwjcQfWleajqWuLdWWafWh4JvAK4skE9J2O7EjimHO+XA5dl5uOZ+T1gM9Xnuu5nu2zT6Dk6IiIWA8cDnyrz08UwsPVsYKg+t6qrb88j0xxP+8LUY0O/iIj9qH7kXwDVb6PMfLi3Ue1iAdVvnAVUDQF69p1/lt9NuqpebJn5xcycKLPX06Pfuw1eN4BzgPdSfR8YGPMmiTRDvwXcnJmPl/kzgbOBx3oXUltNrR9QNd8EXgd8uSdRtU9t/RYBW2uWbaWPTqJzlZk/Af4A2ER1IjmCcuIbBjVNTc+MiJsj4u8jYqSnQbXfsB1fBsUi4O6a+UE7Noxk5vYyfQ8w+X/RqF7TlTc6RjZ6jo4rXZleQtVKZ+jqWrpx3ELVknQjVWuGh2u+4NbG9kR9yvJHgAOZff0PnOY5OuVjVF+Kf1bmp4thkOuZwBej6k6/qpQN3edWuxmI88iU42m/mHps6BeHAfcBf1O62n0qIvbtdVAAmbkN+AjwfWA78EhmfrG3Ue1mUI5J76Bq1dkXImI5VS+ab/U6ltkaqiRSRHyp9BWd+mh6dSAiXkjVxO33yvyLgedm5mc7HPaMtbN+NeULgEuBj2fmnZ2JfGY6Ub9+Mpf61dnXU6mSSC8BDgG+DZze5pBnG1Pb6kd1xWUx8C+Z+VLgX6lOoD3T5vev744vGjyldUJHr1x14zkmldZ5nwHenZk/6HYcXXqOn2bmi6mOb0cC/62Tz9cLEfFaYEdm3tTrWLrg18s56jXAKRHx8tqFw/K51eCZ7njaK31+bFhA1dXo/Mx8CfAoVbesnivjCy2nSnQdQtUL4Xd6G1Vj/XpMiog/AyaAS3odC1TjEwPvA/5nr2NpxYJeB9BOmfnKVrYrTSs/C7wtM/+jFP8qMBoRW6hep2dHxHhmjrUj1la0uX6T1gHfzcyPzTW+uWpz/baxa3PFxaWsZ1qtXwMvLvv8D4CIuIIen+zaXL8HqFroXFXm/x44uY37n7U216/vji/zyDaq/ueTen5smKV7I+LgzNxeurvsKOWN6rUNGJtSPs70x8hGz9ExJTH+GeCSzJz8vx/KugJk5sMRcR3VsWBhRCwoLWhqY5us59ZywWc/qmPjdJ/heuUPTPMcnfAy4PURcRzwNKru1udOE8Og1nOyhQCZuSMiPkuVGBzaz62e0NfnkQbH036w27EhIj6dmf2QENkKbM3MyVZbV9InSSTglcD3MvM+gIi4Cvg14NM9jWpXfX1MioiVwGuBY0qSqx88lyox+K2qNzaLgZsj4sjMvKenkc3AULVEakXpNnMN1WBg/99keWaen5mHZOYSqoFx/30Qf+A1ql9ZdhbVl7V39yK2dpjm/dsO/CAiji7jJLwNuLpHYXbCNuCIiHhWmX8VVb/3oVAO8P/Ik1+sjwFu71lAbTYsx5cBdSNweFR3cdqTaiDfDT2OaTY2AJN3b1rBk8e1DcDbonI0VXP37VSDNR4bEfuXq5nHAl9ocoxs9BwdUZ7/AuCOzPxozaKhqmtEPKucs4iIvXnyuH0d8MYG9ZyM7Y3AV8qxcQNwYlTj/x0GHE41AHPdz3bZptFztF1mnp6Zi8vx7cQS90nDVs+I2DcinjE5TfV5u5Uh+9yqrr49j0xzPO25BseGfkggUX603x0RLyhF/fS98/vA0VHdWTuoYuu37/x9e0yKiGVUXShfn5l9M4REZm7KzGdn5pLyP7GValD8vk8gAfPq7my/SfXmPA7cS3WCBng/VZPFW2oez56y7RL6/O5J/3979x5mWV3f+f79DVcvCDSaGuxubRSOBiQi1gCOnpwaiIBgbM4zypBDtCGd6ZMTkmgkkUad4AVMa6Ko8TYdQRuDQosaegAvLVBjnISLCHKVUDaNdMtF6aa1NKKt3/PH+hXsLqpqVe2uvffaVe/X8+yn1vqty/6sXVV77f1d67fWTLePqtqZVG9CY+1/1OvtmM3fHzBI9YHue8BHgOj1dsx0+8q0jVQXYhst84zdheaPy+/vVqqCy3693o5Z3r7nAt8o23c18Jxeb8dsbl/L9Ma/v8y1B9Vdkv6tvDe8rdd5psj5OarrH/yy/O0sp7ruy9XAPcDXgQVl3gA+WrbpNna8S+AfUl2UeAQ4vaV9wvfIyZ6jg9v5irI/urXlffyEubatwG8DN5ftvB3469L+PKriyAjVWZd7lPY9y/hImf68lnW9rWzL3bTceXSyv+3JnqMLf8NDPHF3tjm1neW5vlMed4zlmGt/tz4m/f03cj/CJO+nvc41Qc7H3xua8qA6y/9b5bX7J8pdEpvwoLpj8XfL+8FnuvUePkmWaX82aUi2EaprmI39P3yiKdnGTd9IH92dbWxnJEmSJEmSJE1q3ndnkyRJkiRJUj2LSJIkSZIkSaplEUmSJEmSJEm1LCJJkiRJkiSplkUkSZIkSZIk1bKIJEmSJEmSpFoWkSRJkiRJklTLIpIkSZIkSZJqWUSSJEmSJElSLYtIkiRJkiRJqmURSZIkSZIkSbUsIkmSJEmSJKmWRSRJkiRJkiTVsogkSZIkSZKkWhaRJEmSJEmSVMsikiRJkiRJkmpZRJIkSZIkSVIti0iSJEmSJEmqZRFJkiRJkiRJtSwiSZIkSZIkqZZFJEmSJEmSJNWyiCRJkiRJkqRaFpEkSZIkSZJUyyKSJEmSJEmSallEkiRJkiRJUi2LSJIkSZIkSaplEUmSJEmSJEm1LCJJkiRJkiSplkUkSZIkSZIk1bKIJEmSJEmSpFoWkSRJkiRJklTLIpIkSZIkSZJqWUSSJEmSJElSLYtIkiRJkiRJqmURSZIkSZIkSbUsIkmSJEmSJKmWRSTNexExHBF/1Oayz4mI0YjYZbZzSZIkSZLUJBaRpBmIiI0R8btj45n5/cx8emb+qpe5JEnTFxGfjohza+YZiohNs/icGREHztb6JEn9Yzr7HalfWESSJEmNM75oP1vzSpI0Efc70vRYRFKjlDfksyPizojYGhGfiog9y7T/FhEjEbElItZFxLNblsuI+POI2BARP4qIv42I3yjT3hER/9gy75Iy/64TPP/zI+KaiHikrOfiiNinTPsM8Bzgf5YubG8Zv66IeHbJtqVk/W8t635HRKyNiIsi4icRcUdEDHbqtZQk9Qe7REuSxpvou4rUBBaR1ESnAscBzwf+D+DtEXE08DfAycD+wH3AJeOW+7+BQeBwYCnwh208d5TneTbwW8Bi4B0Amfl64PvA75UubO+bYPlLgE1l+dcC7ynZx7ymzLMPsA74SBsZJWlOm6Ro/5pSfH+0XMvutyabt7R/PiIejIhtEfGNiDikzSxvLQcVNkbEqS3te0TE30XE9yPioYj4REQ8pWX6X0XEAxHxg4j4w3Hr/HREfDwiroqInwL/OSJ+q2zXo2U7X9My/97lAMQPI+K+iHh7y4GS0yLif0fE+WXZDRHxn0r7/RHxcEQsa1nXCeVAzU8iYnNE/GU7r4skzSVN2O9E6UYdEWdFxIPAp8q+5oNlX/KDMrxHyzJ1B9n/JCLuKe/57y4HzP8lIn5cDm7vXuZ9ZkRcUbZ1S0T889h+RhrPPww10Ucy8/7M3AKcB/w+VWHpwsz8dmY+BpwNvCwilrQs997M3JKZ3wc+WJabkcwcycz1mflYZv4Q+ADwf01n2YhYDLwcOCszf56ZtwCfBN7QMts3M/Oqcg2lzwAvnmlGSZrrxhftgX8CPge8CXgWcBXVh/fdpyjwfxk4CPhN4NvAxW1E+Q/AM4GFwDJgdUS8oExbRXWg4zDgwDLPXwNExPHAXwKvLBkm6vLw/1Dt4/YCrgf+J/C1kvfPgItbnuvvgb2B51Htk94AnN6yriOBW4H9gM9SHaz4jyXXHwAfiYinl3kvAP7fzNwLeBFwzcxfFkmaWxq231kAPBdYAbwNOIpqX/Ni4Ajg7QDTPMh+HPDSso63AKup9guLqfYBY9+XzqQ6EP4sYAB4K5Bt5Nc8YBFJTXR/y/B9VGf1PLsMA5CZo8AjVB/ap1puRiJiICIuKUdnfwz8I9UXiOl4NrAlM38yLkdrxgdbhn8G7OmpqpJU678CV5Yi/y+BvwOeAvynyRbIzAsz8yflwMM7gBdHxN5tPPd/LwcW/hdwJXByRATVh/u/KAcvfgK8BzilLHMy8KnMvD0zf1qef7zLM/N/Z+avqb4cPB1YlZm/yMxrgCuA34+qq9spwNllezYC7wde37KuezPzU+UAxaVUXw7eVXJ/DfgFVUEJ4JfAwRHxjMzcmpnfbuM1kaS5rlf7nV8D55T373+nOpD+rsx8uBzgfidPvP9P5yD7+zLzx5l5B3A78LXM3JCZ26iKXi8p8/2SqhD13Mz8ZWb+c2ZaRNKELCKpiRa3DD8H+EF5PHesMSKeRnXEdXPNcgA/BZ7aMu0/TPHc76Gquh+amc+gqtRHy/Sp3kx/ACyIiL3G5dg8yfySpOkZfyDh11QHDhZONHNE7BIRqyLie+WAwMYyaboHBcZsLUWgMWMHKJ5FtV+5qZz6/yjwldI+lnf8gY3xWqc/G7i/bFfrMgtL5t3GrWP8AYqHWob/HSAzx7eNnYn0X4ATgPsi4n9FxMsmyCZJ812v9js/zMyfT5aDHQ+UT+cg+/h9wWT7hr8FRoCvlW7RK2eYW/OIRSQ10RkRsSgiFlCdwnkp1emkp0fEYaUf8HuA68sR2TF/FRH7lm5lbyzLAdwC/E5EPKccDTh7iufeCxgFtkXEQuCvxk1/iKo7wZNk5v3AvwB/ExF7RsRvA8upzmaSJM1Ma9F+/IGEoDpwsHmCeaHqKraUqhvZ3sCSsUVnmGHfctBizNgBih9Rffg+JDP3KY+9SxcIgAd48oGN8cZv3+Jx158YOwjxI6ojxM+dYNqMZeaNmbmUqrvFPwFr21mPJM1BTdjvjF/vDjnY8UD5dA6yT+9JqzOozszM51Fdw/XNEXHMTNej+cEikpros1TXhdgAfA84NzO/Dvx34AtUH86fzxPdBsZcDtxEVTS6kuq6D2TmeqqC0q1l+hVTPPc7qS7Mva2s44vjpv8N1YW+H53kYqS/T7XT+AHwJarTUb9eu8WSpPFai/ZrgRMj4piI2I3q2g2PURXux88L1QGBx6iOyD6V6sBDu94ZEbtHxP8JvBr4fDki/Q/A+RHxmwARsTAijmvJe1pEHBwRTwXOqXmO66m6OL8lInaLiCHg94BLShe1tcB5EbFXRDwXeDNtHKAo23FqROxdumf8mKrrhCSpOfudVp+j+u7xrIh4JtW19/6xZVrdQfZpiYhXR8SBpVi2DfgV7h80CYtIaqIbM/PgcmR3WWb+DCAzP5GZz8/MBZn56szcNG65qzLzeZm5X6mk/2psQmaeUdZ3YGb+Q2ZGZm4v04Yy85Nl+I7MfGm5SN5hmfn+zFzUsp7LM/M5ZV1/l5kbx61rU8m2oGT9RMuy78jMP2gZ32FZSdIOHi/aUxVU/oDqAtM/KuO/l5m/GD9vKfBfRHWK/2bgTuC6NjM8CGylOjBwMfDHmfndMu0sqlP/rytdF74OvAAgM79MdYOHa8o8U168umzH7wGvKtv3MeANLc/1Z1RdszcA36Q62HJhm9v0emBjyfzHVNfUkCQ1Y78z3rnAt6gOht9GdcHucwGmeZB9ug6i2o+NAv8KfCwzr92p5JqzwutlqUkiYiPwRzM9eyciEjgoM0c6EkySJEmSpHnOM5EkSZIkSZJUyyKSGiUzl7RzDaHSLcyzkCRJ0xYRb42I0QkeX+51NknS3ON+R3OB3dkkSZIkSZJUa9deB5jKM5/5zFyyZElby/70pz/laU97Wv2MPdDkbNDsfGZrX5PzNTkbzG6+m2666UeZ+axZWVmfKdc8+wnVHT+2Z+ZgRCygunviEmAjcHJmbi13B/kQcALVXatOy8xvl/UsA95eVntuZq6Z6nnb3Zc0/e9yPPN2Vj/l7aesYN52zOd9Sa/Mle8lTcoC5qljnqk1KU+TssD08rS9L8nMxj5e+tKXZruuvfbatpfttCZny2x2PrO1r8n5mpwtc3bzAd/KBry/9uJBVSR65ri29wEry/BK4L1l+ATgy0AAR1HdshZgAdUdqhYA+5bhfad63nb3JU3/uxzPvJ3VT3n7KWumedsxn/clvXrMle8lTcqSaZ465plak/I0KUvm9PK0uy/xmkiSpF5aCoydSbQGOKml/aKyj7sO2Cci9geOA9Zn5pbM3AqsB47vdmhJkiRpPmp0dzZJ0pySwNciIoH/kZmrgYHMfKBMfxAYKMMLgftblt1U2iZr30FErABWALx2CLAAACAASURBVAwMDDA8PDzjsKOjo20t1yvm7ax+yttPWcG8kiT1E4tIkqRueUVmbo6I3wTWR8R3WydmZpYC004rBarVAIODgzk0NDTjdQwPD9POcr1i3s7qp7z9lBXMK0lSP7E7mySpKzJzc/n5MPAl4AjgodJNjfLz4TL7ZmBxy+KLSttk7ZIkSZI6zCKSJKnjIuJpEbHX2DBwLHA7sA5YVmZbBlxehtcBb4jKUcC20u3tq8CxEbFvROxb1vPVLm6KJEmSNG/ZnU2S1A0DwJciAqp9z2cz8ysRcSOwNiKWA/cBJ5f5r6K6Q9sI8DPgdIDM3BIR7wZuLPO9KzO3dG8zJEmSpPnLIpIkqeMycwPw4gnaHwGOmaA9gTMmWdeFwIWznVGSJEnS1OzOJkmSJEmSpFoWkSRJkiRJklRrXnVnW7LyygnbN646sctJJElzzUT7GPcvkqSZcF8iqek8E0mSJEmSJEm1LCJJkiRJkiSplkUkSZIkSZIk1bKIJEmSJEmSpFoWkSRJkiRJklTLIpIkSZIkSZJqWUSSJEmSJElSLYtIkiRJkiRJqmURSZIkSZIkSbUsIkmSJEmSJKmWRSRJkiRJkiTVsogkSZIkSZKkWhaRJEmSJEmSVMsikiRJkiRJkmpZRJIkSZIkSVIti0iSJEmSJEmqZRFJkiRJkiRJtSwiSZIkSZIkqZZFJEmSJEmSJNWaVhEpIv4iIu6IiNsj4nMRsWdEHBAR10fESERcGhG7l3n3KOMjZfqSlvWcXdrvjojjOrNJkiRJkiRJmm21RaSIWAj8OTCYmS8CdgFOAd4LnJ+ZBwJbgeVlkeXA1tJ+fpmPiDi4LHcIcDzwsYjYZXY3R5IkSZIkSZ0w3e5suwJPiYhdgacCDwBHA5eV6WuAk8rw0jJOmX5MRERpvyQzH8vMe4ER4Iid3wRJkiRJ80FEbIyI2yLiloj4VmlbEBHrI+Ke8nPf0h4R8eHSE+LWiDi8ZT3Lyvz3RMSyXm2PJPWbXetmyMzNEfF3wPeBfwe+BtwEPJqZ28tsm4CFZXghcH9ZdntEbAP2K+3Xtay6dZnHRcQKYAXAwMAAw8PDM98qYHR09EnLnnno9gnnbfc52jVRtiZpcj6zta/J+ZqcDZqfT5KkeeY/Z+aPWsZXAldn5qqIWFnGzwJeBRxUHkcCHweOjIgFwDnAIJDATRGxLjO3dnMjJKkf1RaRSiV/KXAA8CjwearuaB2RmauB1QCDg4M5NDTU1nqGh4cZv+xpK6+ccN6Np7b3HO2aKFuTNDmf2drX5HxNzgbNzydJ0jy3FBgqw2uAYaoi0lLgosxM4LqI2Cci9i/zrs/MLQARsZ7q+83nuhtbkvpPbREJ+F3g3sz8IUBEfBF4ObBPROxazkZaBGwu828GFgObSve3vYFHWtrHtC4jSZIkSXUS+FpEJPA/ygHogcx8oEx/EBgow4/3kCjGekJM1r6DTvaQmMxEPSdm82zopp1dbZ6pmWdqTcrTpCzQ2TzTKSJ9HzgqIp5K1Z3tGOBbwLXAa4FLgGXA5WX+dWX8X8v0azIzI2Id8NmI+ADwbKrTSm+YxW2RJEmSNLe9olxu4zeB9RHx3daJ5XtHzsYTdbKHxGQm6jkxm70mmnZ2tXmmZp6pNSlPk7JAZ/PUXlg7M6+nukD2t4HbyjKrqU4RfXNEjFBd8+iCssgFwH6l/c1UfZLJzDuAtcCdwFeAMzLzV7O6NZIkSZLmrMzcXH4+DHyJ6kY9D5VuapSfD5fZJ+sJYQ8JSWrTtO7OlpnnZOYLM/NFmfn6coe1DZl5RGYemJmvy8zHyrw/L+MHlukbWtZzXmY+PzNfkJlf7tRGSZIkSZpbIuJpEbHX2DBwLHA7T/SEgCf3kHhDuUvbUcC20u3tq8CxEbFvuf7rsaVNklRjOt3ZJEmSJKnXBoAvRQRU32M+m5lfiYgbgbURsRy4Dzi5zH8VcAIwAvwMOB0gM7dExLuBG8t87xq7yLYkaWoWkSRJkiQ1Xunh8OIJ2h+hum7r+PYEzphkXRcCF852Rkma6ywiSZLUIUsmuEAqwMZVJ3Y5iSRJkrTzpnVNJEmSJEmSJM1vFpEkSV0TEbtExM0RcUUZPyAiro+IkYi4NCJ2L+17lPGRMn1JyzrOLu13R8RxvdkSSZIkaf6xiCRJ6qY3Ane1jL8XOD8zDwS2AstL+3Jga2k/v8xHRBwMnAIcAhwPfCwidulSdkmSJGles4gkSeqKiFgEnAh8sowHcDRwWZllDXBSGV5axinTjynzLwUuyczHMvNeqjvuHNGdLZAkSZLmN4tIkqRu+SDwFuDXZXw/4NHM3F7GNwELy/BC4H6AMn1bmf/x9gmWkSRJktRB3p1NktRxEfFq4OHMvCkihrrwfCuAFQADAwMMDw/PeB2jo6MzWu7MQ7fXz1S0k6fOTPP2mnk7p5+ygnklSeonFpEkSd3wcuA1EXECsCfwDOBDwD4RsWs522gRsLnMvxlYDGyKiF2BvYFHWtrHtC7zuMxcDawGGBwczKGhoRkHHh4eZibLnbbyymnPu/HUmeepM9O8vWbezumnrGBezU9LZrDPkKQmsTubJKnjMvPszFyUmUuoLox9TWaeClwLvLbMtgy4vAyvK+OU6ddkZpb2U8rd2w4ADgJu6NJmSJIkSfOaZyJJknrpLOCSiDgXuBm4oLRfAHwmIkaALVSFJzLzjohYC9wJbAfOyMxfdT+2JEmSNP9YRJIkdVVmDgPDZXgDE9xdLTN/DrxukuXPA87rXEJJkiRJE7E7myRJkiRJkmpZRJIkSZIkSVIti0iSJEmSJEmqZRFJkiRJkiRJtSwiSZIkSZIkqZZFJEmSJEmSJNWyiCRJkiRJkqRaFpEkSZIkSZJUyyKSJEmSJEmSallEkiRJkiRJUi2LSJIkSZIkSaplEUmSJEmSJEm1LCJJkiRJkiSplkUkSZIkSZIk1bKIJEmSJEmSpFoWkSRJkiRJklTLIpIkSZIkSZJqWUSSJEmSJElSLYtIkiRJkvpGROwSETdHxBVl/ICIuD4iRiLi0ojYvbTvUcZHyvQlLes4u7TfHRHH9WZLJKn/WESSJEmS1E/eCNzVMv5e4PzMPBDYCiwv7cuBraX9/DIfEXEwcApwCHA88LGI2KVL2SWpr1lEkiRJktQXImIRcCLwyTIewNHAZWWWNcBJZXhpGadMP6bMvxS4JDMfy8x7gRHgiO5sgST1t117HUCSJEmSpumDwFuAvcr4fsCjmbm9jG8CFpbhhcD9AJm5PSK2lfkXAte1rLN1mcdFxApgBcDAwADDw8NtBR4dHX3Ssmceun3imSfQ7vNON0svmWdq5plak/I0KQt0No9FJEmSJEmNFxGvBh7OzJsiYqjTz5eZq4HVAIODgzk01N5TDg8PM37Z01ZeOe3lN57a3vNON0svmWdq5plak/I0KQt0No9FJEmSJEn94OXAayLiBGBP4BnAh4B9ImLXcjbSImBzmX8zsBjYFBG7AnsDj7S0j2ldRpI0Ba+JJEmSJKnxMvPszFyUmUuoLox9TWaeClwLvLbMtgy4vAyvK+OU6ddkZpb2U8rd2w4ADgJu6NJmSFJf80wkSZIkSf3sLOCSiDgXuBm4oLRfAHwmIkaALVSFJzLzjohYC9wJbAfOyMxfdT+2JPWfaZ2JFBH7RMRlEfHdiLgrIl4WEQsiYn1E3FN+7lvmjYj4cESMRMStEXF4y3qWlfnviYhlkz+jJEmSJE0sM4cz89VleENmHpGZB2bm6zLzsdL+8zJ+YJm+oWX58zLz+Zn5gsz8cq+2Q5L6zXS7s30I+EpmvhB4MXAXsBK4OjMPAq4u4wCvojol9CCquxl8HCAiFgDnAEdS3ULznLHCkyRJkiRJkpqttogUEXsDv0M5LTQzf5GZjwJLgTVltjXASWV4KXBRVq6jutDd/sBxwPrM3JKZW4H1wPGzujWSJEmSJEnqiOmciXQA8EPgUxFxc0R8MiKeBgxk5gNlngeBgTK8ELi/ZflNpW2ydkmSJEmSJDXcdC6svStwOPBnmXl9RHyIJ7quAZCZGRE5G4EiYgVVNzgGBgYYHh5uaz2jo6NPWvbMQ7dPOG+7z9GuibI1SZPzma19Tc7X5GzQ/HySJEmS1A3TKSJtAjZl5vVl/DKqItJDEbF/Zj5Quqs9XKZvBha3LL+otG0Ghsa1D49/ssxcDawGGBwczKGhofGzTMvw8DDjlz1t5ZUTzrvx1Paeo10TZWuSJuczW/uanK/J2aD5+SRJkiSpG2q7s2Xmg8D9EfGC0nQM1e0w1wFjd1hbBlxehtcBbyh3aTsK2Fa6vX0VODYi9i0X1D62tEmSJEmSJKnhpnMmEsCfARdHxO7ABuB0qgLU2ohYDtwHnFzmvQo4ARgBflbmJTO3RMS7gRvLfO/KzC2zshWSJEmSJEnqqGkVkTLzFmBwgknHTDBvAmdMsp4LgQtnElCSJEmS5qslk12SY9WJXU4iSdO7O5skSZIkSZLmOYtIkqSOi4g9I+KGiPhORNwREe8s7QdExPURMRIRl5Zu00TEHmV8pExf0rKus0v73RFxXG+2SJIkSZp/LCJJkrrhMeDozHwxcBhwfLn5wnuB8zPzQGArsLzMvxzYWtrPL/MREQcDpwCHAMcDH4uIXbq6JZIkSdI8ZRFJktRxWRkto7uVRwJHA5eV9jXASWV4aRmnTD8mIqK0X5KZj2XmvVQ3cTiiC5sgSZIkzXvTvTubJEk7pZwxdBNwIPBR4HvAo5m5vcyyCVhYhhcC9wNk5vaI2AbsV9qva1lt6zKtz7UCWAEwMDDA8PDwjPOOjo7OaLkzD91eP1PRTp46M83ba+btnH7KCuaVJKmfWESSJHVFZv4KOCwi9gG+BLywg8+1GlgNMDg4mENDQzNex/DwMDNZ7rRJ7p4zkY2nzjxPnZnm7TXzdk4/ZQXzSpLUT+zOJknqqsx8FLgWeBmwT0SMHdBYBGwuw5uBxQBl+t7AI63tEywjSZIkqYMsIkmSOi4inlXOQCIingK8EriLqpj02jLbMuDyMryujFOmX5OZWdpPKXdvOwA4CLihO1shSZIkzW92Z5MkdcP+wJpyXaTfANZm5hURcSdwSUScC9wMXFDmvwD4TESMAFuo7shGZt4REWuBO4HtwBmlm5wkSZKkDrOIJEnquMy8FXjJBO0bmODuapn5c+B1k6zrPOC82c4oSZIkaWp2Z5MkSZIkSVIti0iSJEmSJEmqZRFJkiRJkiRJtSwiSZIkSZIkqZYX1pYkaQaWrLyy1xEkSZKknvBMJEmSJEmSJNWyiCRJkiRJkqRaFpEkSZIkSZJUyyKSJEmSJEmSanlhbUmSumyyi3NvXHVil5NIkiRJ0+eZSJIkSZIkSaplEUmSJElS40XEnhFxQ0R8JyLuiIh3lvYDIuL6iBiJiEsjYvfSvkcZHynTl7Ss6+zSfndEHNebLZKk/mMRSZIkSVI/eAw4OjNfDBwGHB8RRwHvBc7PzAOBrcDyMv9yYGtpP7/MR0QcDJwCHAIcD3wsInbp6pZIUp+yiCRJkiSp8bIyWkZ3K48EjgYuK+1rgJPK8NIyTpl+TEREab8kMx/LzHuBEeCILmyCJPU9L6wtSZIkqS+UM4ZuAg4EPgp8D3g0M7eXWTYBC8vwQuB+gMzcHhHbgP1K+3Utq21dpvW5VgArAAYGBhgeHm4r8+jo6JOWPfPQ7RPPPAPt5JkoSy+ZZ2rmmVqT8jQpC3Q2j0UkSZIkSX0hM38FHBYR+wBfAl7YwedaDawGGBwczKGhobbWMzw8zPhlT5vkLp0zsfHUmeeZKEsvmWdq5plak/I0KQt0No/d2SRJkiT1lcx8FLgWeBmwT0SMHRxfBGwuw5uBxQBl+t7AI63tEywjSZqCRSRJkiRJjRcRzypnIBERTwFeCdxFVUx6bZltGXB5GV5XxinTr8nMLO2nlLu3HQAcBNzQna2QpP5mdzZJkiRJ/WB/YE25LtJvAGsz84qIuBO4JCLOBW4GLijzXwB8JiJGgC1Ud2QjM++IiLXAncB24IzSTU6SVMMikiRJkqTGy8xbgZdM0L6BCe6ulpk/B143ybrOA86b7YySNNfZnU2SJEmSJEm1LCJJkiRJkiSplkUkSZIkSZIk1bKIJEmSJEmSpFpeWBtYsvLKJ7VtXHViD5JIkiRJkiQ1k2ciSZIkSZIkqZZFJEmSJEmSJNWyiCRJkiRJkqRac/aaSLdt3sZpE1zrSJIkSZIkSTM37TORImKXiLg5Iq4o4wdExPURMRIRl0bE7qV9jzI+UqYvaVnH2aX97og4brY3RpIkSZIkSZ0xk+5sbwTuahl/L3B+Zh4IbAWWl/blwNbSfn6Zj4g4GDgFOAQ4HvhYROyyc/ElSZIkSZLUDdMqIkXEIuBE4JNlPICjgcvKLGuAk8rw0jJOmX5MmX8pcElmPpaZ9wIjwBGzsRGSJEmSJEnqrOmeifRB4C3Ar8v4fsCjmbm9jG8CFpbhhcD9AGX6tjL/4+0TLCNJkiRJkqQGq72wdkS8Gng4M2+KiKFOB4qIFcAKgIGBAYaHh9taz8BT4MxDt9fPOIl2n3c6RkdHO7r+ndXkfGZrX5PzNTkbND+fJEmSJHXDdO7O9nLgNRFxArAn8AzgQ8A+EbFrOdtoEbC5zL8ZWAxsiohdgb2BR1rax7Qu87jMXA2sBhgcHMyhoaE2Ngv+/uLLef9t7d98buOp7T3vdAwPD9PudnVDk/OZrX1NztfkbND8fJIkSZLUDbXd2TLz7MxclJlLqC6MfU1mngpcC7y2zLYMuLwMryvjlOnXZGaW9lPK3dsOAA4Cbpi1LZEkSZIkSVLHzOTubOOdBbw5Ikaornl0QWm/ANivtL8ZWAmQmXcAa4E7ga8AZ2Tmr3bi+SVJfSIiFkfEtRFxZ0TcERFvLO0LImJ9RNxTfu5b2iMiPhwRIxFxa0Qc3rKuZWX+eyJi2WTPKUmSJGl2zai/V2YOA8NleAMT3F0tM38OvG6S5c8DzptpSElS39sOnJmZ346IvYCbImI9cBpwdWauioiVVAcezgJeRXXG6kHAkcDHgSMjYgFwDjAIZFnPuszc2vUtkiRJkuaZnTkTSZKkacnMBzLz22X4J8BdVHfoXAqsKbOtAU4qw0uBi7JyHdV1+PYHjgPWZ+aWUjhaDxzfxU2RJEmS5q32rzwtSVIbImIJ8BLgemAgMx8okx4EBsrwQuD+lsU2lbbJ2sc/x07f6XOyu/LtzJ0/6+zMXQD77S6C5u2cfsoK5pUkqZ9YRJIkdU1EPB34AvCmzPxxRDw+LTMzInI2nmc27vQ52V35Tlt55U6mm9zO3Bm03+4iaN7O6aesYF5JkvqJ3dkkSV0REbtRFZAuzswvluaHSjc1ys+HS/tmYHHL4otK22TtkiRJkjrMIpIkqeOiOuXoAuCuzPxAy6R1wNgd1pYBl7e0v6Hcpe0oYFvp9vZV4NiI2Lfcye3Y0iZJkiSpw+zOJknqhpcDrwdui4hbSttbgVXA2ohYDtwHnFymXQWcAIwAPwNOB8jMLRHxbuDGMt+7MnNLdzZBkiRJmt8sIkmSOi4zvwnEJJOPmWD+BM6YZF0XAhfOXjpJkiRJ02F3NkmSJEmSJNWyiCRJkiRJkqRaFpEkSZIkSZJUyyKSJEmSJEmSallEkiRJktR4EbE4Iq6NiDsj4o6IeGNpXxAR6yPinvJz39IeEfHhiBiJiFsj4vCWdS0r898TEct6tU2S1G8sIkmSJEnqB9uBMzPzYOAo4IyIOBhYCVydmQcBV5dxgFcBB5XHCuDjUBWdgHOAI4EjgHPGCk+SpKnt2usAkiRJklQnMx8AHijDP4mIu4CFwFJgqMy2BhgGzirtF2VmAtdFxD4RsX+Zd31mbgGIiPXA8cDnurYxs2DJyisnbN+46sQuJ5E0n1hEkiSpISb6QuCXAUl6sohYArwEuB4YKAUmgAeBgTK8ELi/ZbFNpW2y9vHPsYLqDCYGBgYYHh5uK+vo6OiTlj3z0O1trWs6pso5UZZeMs/UzDO1JuVpUhbobB6LSJIkSZL6RkQ8HfgC8KbM/HFEPD4tMzMicjaeJzNXA6sBBgcHc2hoqK31DA8PM37Z0yY5i2g2bDx1aNJpE2XpJfNMzTxTa1KeJmWBzubxmkiSJEmS+kJE7EZVQLo4M79Ymh8q3dQoPx8u7ZuBxS2LLyptk7VLkmpYRJIkSZLUeFGdcnQBcFdmfqBl0jpg7A5ry4DLW9rfUO7SdhSwrXR7+ypwbETsWy6ofWxpkyTVsDubJEmSpH7wcuD1wG0RcUtpeyuwClgbEcuB+4CTy7SrgBOAEeBnwOkAmbklIt4N3Fjme9fYRbYlSVOziCRJkiSp8TLzm0BMMvmYCeZP4IxJ1nUhcOHspZOk+cHubJIkSZIkSaplEUmSJEmSJEm1LCJJkiRJkiSplkUkSZIkSZIk1bKIJEmSJEmSpFoWkSRJkiRJklTLIpIkSZIkSZJqWUSSJEmSJElSLYtIkiRJkiRJqmURSZIkSZIkSbUsIkmSJEmSJKmWRSRJkiRJkiTVsogkSZIkSZKkWhaRJEmSJEmSVGvXXgeQJEmSpLnqts3bOG3llb2OIUmzwjORJEmSJEmSVMsikiRJkiRJkmpZRJIkSZIkSVIti0iSJEmSJEmqZRFJkiRJkiRJtWqLSBGxOCKujYg7I+KOiHhjaV8QEesj4p7yc9/SHhHx4YgYiYhbI+LwlnUtK/PfExHLOrdZkiRJkiRJmk3TORNpO3BmZh4MHAWcEREHAyuBqzPzIODqMg7wKuCg8lgBfByqohNwDnAkcARwzljhSZIkSZIkSc1WW0TKzAcy89tl+CfAXcBCYCmwpsy2BjipDC8FLsrKdcA+EbE/cBywPjO3ZOZWYD1w/KxujSRJkiRJkjpi15nMHBFLgJcA1wMDmflAmfQgMFCGFwL3tyy2qbRN1j7+OVZQncHEwMAAw8PDM4n4uIGnwJmHbm9rWaDt552O0dHRjq5/ZzU5n9na1+R8Tc4Gzc/XDyLiQuDVwMOZ+aLStgC4FFgCbAROzsytERHAh4ATgJ8Bp40dzChdod9eVntuZq5hjluy8soJ2zeuOrHLSSRJkjTfTbuIFBFPB74AvCkzf1x9xq9kZkZEzkagzFwNrAYYHBzMoaGhttbz9xdfzvtvm1GNbAcbT23veadjeHiYdrerG5qcz2zta3K+JmeD5ufrE58GPgJc1NI21i16VUSsLONnsWO36COpukUf2dItehBI4KaIWFfObpUkSZLUYdO6O1tE7EZVQLo4M79Ymh8q3dQoPx8u7ZuBxS2LLyptk7VLkua4zPwGsGVcs92iJUmSpD5Se6pO6VZwAXBXZn6gZdI6YBmwqvy8vKX9TyPiEqojyNsy84GI+CrwnpaLaR8LnD07myFJ6kMd6RYNs9M1erJujDvTVXo2jc/Wb90uzds5/ZQVzCtJUj+ZTn+vlwOvB26LiFtK21upikdrI2I5cB9wcpl2FdV1LEaormVxOkBmbomIdwM3lvnelZnjj0pLkuah2ewWXda3012jJ+vGeNok1yjqtvHdrvut26V5O6efsoJ5JUnqJ7VFpMz8JhCTTD5mgvkTOGOSdV0IXDiTgJKkOeuhiNi/nK063W7RQ+Pah7uQU5KkvjHRDRm8GYOk2dL+laclSdo5je8WPdmd0SRJ3eedPiWp96Z1YW1JknZGRHwO+FfgBRGxqXSFXgW8MiLuAX63jEPVLXoDVbfofwD+BKpu0cBYt+gbsVu0JM03n+bJN1QYu9PnQcDVZRx2vNPnCqo7fdJyp88jgSOAc1oOTkiSangmkiSp4zLz9yeZZLdoSdK0ZOY3ImLJuOalPNHVeQ1VN+ezaLnTJ3BdRIzd6XOIcqdPgIgYu9Pn5zocX5LmBM9EkiRJktSvOnanT0nSk3km0iQmuw6GF6WTJEmSmme27/QZESuousIxMDDA8PBwW+sZeAqceej22YrVlrHso6OjbW9HJ5hnauaZWpPyNCkLdDaPRSRJkiRJ/apjd/rMzNXAaoDBwcEcGhqaaLZaf3/x5bz/tt5+7dp46hBQFZPa3Y5OMM/UzDO1JuVpUhbobB67s0mSJEnqV2N3+oQn3+nzDVE5inKnT+CrwLERsW+5oPaxpU2SNA2eiSRJkiSp8cqdPoeAZ0bEJqq7rK0C1pa7ft4HnFxmvwo4gepOnz8DTofqTp8RMXanT/BOn5I0IxaRJEmSJDWed/qUpN6zO5skSZIkSZJqWUSSJEmSJElSLYtIkiRJkiRJqmURSZIkSZIkSbUsIkmSJEmSJKmWd2eTJKkPLVl55Q7jZx66ndNWXsnGVSf2KJEkSZLmOs9EkiRJkiRJUi2LSJIkSZIkSaplEUmSJEmSJEm1LCJJkiRJkiSplhfWliRJkqQ5bOxmDGM3YRjjzRgkzZRnIkmSJEmSJKmWRSRJkiRJkiTVsjubJElzyJKWbgpj7K4gSZKk2eCZSJIkSZIkSaplEUmSJEmSJEm17M42QxN1EwC7CkiSJEmSpLnNIpIkSZIkzUMeIJc0UxaRJEma4/ySIEmSpNngNZEkSZIkSZJUyyKSJEmSJEmSallEkiRJkiRJUi2viSRJ0jzltZIkSROZaP/gvkESeCaSJEmSJEmSpsEikiRJkiRJkmrZnW2WeMqnJEmSJEmayywiSZKkHXhgRJIkSROxiCRJkmp5EW5Jmt/cD0gCi0gdNdkb7aePf1qXk0iSJEnS7LO4JM0vFpEkSVLb7PomSZI0f3S9iBQRxwMfAnYBPpmZq7qdQZLU39yXNNtkR6VbnXnodk4r81l0ktQL7ks6ayb7AvcDUv/oahEpInYBPgq8EtgE3BgR6zLzzm7m6LXbNm97/INzHd9QJWlH7kvmnul80Rgz2X7RM6IkzYT7kmbxPVzqH90+E+kIYCQzNwBExCXAUsA360nM5IP1bPDNLUEi1AAACZhJREFUWlIfcF8yj81kvzib+9DWM6dg4v2l1wWR+or7kobr9vcgePJ7fae5f1A/6nYRaSFwf8v4JuDI1hkiYgWwooyORsTdbT7XM4EftblsR/15g7PFe4EG58NsO6PJ+ZqcDWY333NnaT3zWbf2JU3/u9xBk/ctE+n3vGV/OS0zmXeW9NVri3nb4b5k583L7yVNe++d73mmsX9o1OuDeabSpCwwvTxt7Usad2HtzFwNrN7Z9UTEtzJzcBYizbomZ4Nm5zNb+5qcr8nZoPn59GSzsS/pt9+7eTurn/L2U1Ywr5prLn4vaVIWME8d80ytSXmalAU6m+c3OrHSKWwGFreMLyptkiRNl/sSSdLOcl8iSW3odhHpRuCgiDggInYHTgHWdTmDJKm/uS+RJO0s9yWS1IaudmfLzO0R8afAV6lupXlhZt7Roafb6VNPO6jJ2aDZ+czWvibna3I2aH6+eaWL+5J++72bt7P6KW8/ZQXzqgfm8feSJmUB89Qxz9SalKdJWaCDeSIzO7VuSZIkSZIkzRHd7s4mSZIkSZKkPmQRSZIkSZIkSbXmXBEpIo6PiLsjYiQiVnbxeTdGxG0RcUtEfKu0LYiI9RFxT/m5b2mPiPhwyXhrRBzesp5lZf57ImLZTuS5MCIejojbW9pmLU9EvLRs70hZNnYy2zsiYnN5/W6JiBNapp1dnufuiDiupX3C33W5QOL1pf3ScrHEmbx2iyPi2oi4MyLuiIg3NuX1myJbI16/iNgzIm6IiO+UfO+cap0RsUcZHynTl7SbeyeyfToi7m157Q4r7V39v1CztPt31oEcHX0vn+WsHX/vnOW8HX+/6kDmXSLi5oi4og+yNupz0TTy7hMRl0XEdyPiroh4WZPzqj90c1/S6/+5aNB3j0my9OyzcjTsu8UUeXryGkWDvj9MkaWn3xeig/v/6b42O8jMOfOguije94DnAbsD3wEO7tJzbwSeOa7tfcDKMrwSeG8ZPgH4MhDAUcD1pX0BsKH83LcM79tmnt8BDgdu70Qe4IYyb5RlX7WT2d4B/OUE8x5cfo97AAeU3+8uU/2ugbXAKWX4E8D/N8PXbn/g8DK8F/BvJUfPX78psjXi9Svb8/QyvBtwfdnOCdcJ/AnwiTJ8CnBpu7l3ItungddOMH9X/y98NOexM39nHcjS0ffyWc7a8ffOWc7b0ferDv09vBn4LHBFGW9y1o006HPRNPKuAf6oDO8O7NPkvD6a/6DL+5Je/8/RoO8ek2R5Bz36rEzDvltMkacnrxEN+v4wRZZP08PvC3Ro/z+T16b1MdfORDoCGMnMDZn5C+ASYGkP8yyl+lBC+XlSS/tFWbkO2Cci9geOA9Zn5pbM3AqsB45v54kz8xvAlk7kKdOekZnXZfVXeVHLutrNNpmlwCWZ+Vhm3guMUP2eJ/xdl0ru0cBlE2zndPM9kJnfLsM/Ae4CFtKA12+KbJPp6utXXoPRMrpbeeQU62x9TS8DjikZZpR7J7NNpqv/F2qUxuxLOvle3oGsHX3v7EDeTr9fzaqIWAScCHyyjE/1ft3TrFNo5N9CROxN9aXzAoDM/EVmPtrUvOobTdiXdO1vuEnfPZr2XaNp3y2a9n2iSd8fmvh9ocP7/7bep+ZaEWkhcH/L+Cam/oeYTQl8LSJuiogVpW0gMx8oww8CA2V4spydzj9beRaW4dnO+aflNMALo5zO2Ua2/YBHM3P7bGQrpwC+hKoK3ajXb1w2aMjrV063vAV4mOoN83tTrPPxHGX6tpKhI/8j47Nl5thrd1557c6PiD3GZ5tmhk79X6j7erkvmY6m7VuepEPvnZ3I2cn3q9n2QeAtwK/L+FTv173OCv3xuWjMAcAPgU+V7gKfjIinNTiv+kO3/x6a+D/XqM/ONOCzctO+WzTl+0STvj808PtCJ/f/bf3Pz7UiUi+9IjMPB14FnBERv9M6sVQap6pidlXT8gAfB54PHAY8ALy/t3EgIp4OfAF4U2b+uHVar1+/CbI15vXLzF9l5mHAIqrq9gt7lWW88dki4kXA2VQZ/yPVKadn9TCiNCO9fi+aSJPfO8dr8vtVq4h4NfBwZt7U6ywz0E+fi3al6vry8cx8CfBTqq4lj2tYXmkijf6f6/Xz04DPyk3bPzbp+0ST9sdN+r7Q1P3/XCsibQYWt4wvKm0dl5mby8+HgS9R/fE/VE5Zo/x8uCZnp/PPVp7NZXjWcmbmQ+Uf9tfAP/DE6fUzzfYI1WmEu+5MtojYjepN9eLM/GJpbsTrN1G2pr1+JdOjwLXAy6ZY5+M5yvS9S4aO/o+0ZDu+nNKbmfkY8Cnaf+1m/f9CPdOzfck0NW3f8rgOv3d2TIfer2bTy4HXRMRGqlPNjwY+1NCsQN98LhqzCdjUcrT5MqqiUlPzqj909e+hof9zjfjsDL3/rNy07xZN/T7RpO8PDfm+0On9f3v/8zmNC6X1y4PqSNIGqtOSxy4MdUgXnvdpwF4tw/9C1X/4b9nxYmnvK8MnsuMFuG7IJy7AdS/Vxbf2LcMLdiLXEna8oNys5eHJFwQ7YSez7d8y/BdUfTYBDmHHi4BtoLoA2KS/a+Dz7HihsT+ZYbag6p/6wXHtPX/9psjWiNcPeBawTxl+CvDPwKsnWydwBjte/G1tu7l3Itv+La/tB4FVvfq/8NGMx878nXUozxI69F4+yzk7/t45y3k7+n7Vwb+HIZ64sGYjs9LQz0U1mf8ZeEEZfkfJ2ti8Ppr/oIv7kqb8z9Gg7x4TZOnZZ2Ua9t1iijw9eY1o0PeHKbL0/PsCHdj/z+S12SFLJ97IevmgukL6v1H1o3xbl57zeeUF/w5wx9jzUvU/vBq4B/h6yx9OAB8tGW8DBlvW9YdUF7oaAU7fiUyfozoN8ZdUR9iWz2YeYBC4vSzzESB2MttnynPfCqxjxzext5XnuZuWq9dP9rsuv48bSubPA3vM8LV7BdXppLcCt5THCU14/abI1ojXD/ht4OaS43bgr6daJ7BnGR8p05/Xbu6dyHZNee1uB/6RJ+7I0NX/Cx/NerT7d9aBHB19L5/lrB1/75zlvB1/v+pQ7iGe+BDZyKw08HPRNDIfBnyr/D38E9WH/sbm9dEfD7q0L2nC/xwN+u4xSZaefVamYd8tpsjTk9eIBn1/mCJLz78v0KH9/3Rfm9ZHlAUlSZIkSZKkSc21ayJJkiRJkiSpAywiSZIkSZIkqZZFJEmSJEmSJNWyiCRJkiRJkqRaFpEkSZIkSZJUyyKSJEmSJEmSallEkiRJkiRJUq3/H+MmsDuwZFgVAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x1080 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Y4ns2e7S0xxu",
        "colab_type": "text"
      },
      "source": [
        "# **Test Set**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8Sn5fFBR4gWV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "np.random.seed(42)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "svvv5jVdxSA2",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "train_set, test_set = train_test_split(housing, test_size=0.2, random_state=42)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L1cI5AbM4avC",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "housing[\"income_cat\"] = pd.cut(housing[\"median_income\"],\n",
        "                               bins=[0., 1.5, 3.0, 4.5, 6., np.inf],\n",
        "                               labels=[1, 2, 3, 4, 5])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vfpH57y34rie",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "outputId": "98888272-24f4-4028-e06e-2515f584aa13"
      },
      "source": [
        "housing[\"income_cat\"].hist()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc4993ec940>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BAA1_Drx40Zf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import StratifiedShuffleSplit\n",
        "\n",
        "split = StratifiedShuffleSplit(n_splits=1, test_size=0.2, random_state=42)\n",
        "for train_index, test_index in split.split(housing, housing[\"income_cat\"]):\n",
        "    strat_train_set = housing.loc[train_index]\n",
        "    strat_test_set = housing.loc[test_index]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z7BGAcBw5Cl8",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "for set_ in (strat_train_set, strat_test_set):\n",
        "    set_.drop(\"income_cat\", axis=1, inplace=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WJqoNmYa3yIy",
        "colab_type": "text"
      },
      "source": [
        "# **Explore Data**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8vC3SwLS3lCG",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "housing = strat_train_set.copy()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kwNU-MTD5K6y",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "outputId": "6e7b961c-6b7f-4747-aca9-8a34b0b6c075"
      },
      "source": [
        "#info geografica ya que hay latitud y longitud\n",
        "housing.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.1) #alpha>>gran densidad de datos"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc49914f4e0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nTmHlN4D5c8D",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 463
        },
        "outputId": "750b77b8-1584-4469-a863-64295c9fe901"
      },
      "source": [
        "housing.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.4,\n",
        "    s=housing[\"population\"]/100, label=\"population\", figsize=(10,7),\n",
        "    c=\"median_house_value\", cmap=plt.get_cmap(\"jet\"), colorbar=True,\n",
        "    sharex=False)\n",
        "plt.legend()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fc49a0340b8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x504 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h1s6g2cfCxHJ",
        "colab_type": "text"
      },
      "source": [
        "### ***Pearson's Correlation***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tPRoJJ_B6Rph",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 191
        },
        "outputId": "c66fc110-a21b-41dd-ca12-bdf09423576f"
      },
      "source": [
        "corr_matrix = housing.corr()\n",
        "#cruzamos todas las features (X) con la salida (y), el valor a predecir\n",
        "corr_matrix[\"median_house_value\"].sort_values(ascending=False)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "median_house_value    1.000000\n",
              "median_income         0.687160\n",
              "total_rooms           0.135097\n",
              "housing_median_age    0.114110\n",
              "households            0.064506\n",
              "total_bedrooms        0.047689\n",
              "population           -0.026920\n",
              "longitude            -0.047432\n",
              "latitude             -0.142724\n",
              "Name: median_house_value, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nxcrnLnFDx31",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 243
        },
        "outputId": "7ed9e93a-5c4d-4214-a7b3-99f0713ce571"
      },
      "source": [
        "#se combinan datos para obtener otros mas valiosos\n",
        "housing[\"rooms_per_household\"] = housing[\"total_rooms\"]/housing[\"households\"]\n",
        "housing[\"bedrooms_per_room\"] = housing[\"total_bedrooms\"]/housing[\"total_rooms\"]\n",
        "#de nada sirve la cantidad de habitaciones totales del distrito sin saber la cantidad de habitantes por casa\n",
        "housing[\"population_per_household\"] = housing[\"population\"]/housing[\"households\"]\n",
        "\n",
        "corr_matrix = housing.corr()\n",
        "corr_matrix[\"median_house_value\"].sort_values(ascending=False)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "median_house_value          1.000000\n",
              "median_income               0.687160\n",
              "rooms_per_household         0.146285\n",
              "total_rooms                 0.135097\n",
              "housing_median_age          0.114110\n",
              "households                  0.064506\n",
              "total_bedrooms              0.047689\n",
              "population_per_household   -0.021985\n",
              "population                 -0.026920\n",
              "longitude                  -0.047432\n",
              "latitude                   -0.142724\n",
              "bedrooms_per_room          -0.259984\n",
              "Name: median_house_value, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iaLGspMMMCMm",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#drop() crea una copia de los datos y no afecta a strat_train_set\n",
        "housing = strat_train_set.drop(\"median_house_value\", axis=1)\n",
        "housing_labels = strat_train_set[\"median_house_value\"].copy()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P2KZn9pxMi10",
        "colab_type": "text"
      },
      "source": [
        "# **Data Cleaning**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MaYH2gqJMcpm",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "outputId": "e74b23bf-e7f7-43cf-b840-7361df79972c"
      },
      "source": [
        "#clase de Scikit-Learn para los missing values\n",
        "from sklearn.impute import SimpleImputer\n",
        "\n",
        "imputer = SimpleImputer(strategy=\"median\")\n",
        "\n",
        "#sacar variable ocean_proximity xq no es numerica\n",
        "#axis >> '0 o index' // '1 o columnas'\n",
        "housing_numerical = housing.drop(\"ocean_proximity\", axis=1)\n",
        "\n",
        "#obtengo un array con la media de cada columna\n",
        "#de ser necesario van a rellenar los NaN\n",
        "imputer.fit(housing_numerical)\n",
        "imputer.statistics_\n",
        "#en este caso \"total_bedrooms\" se va a rellenar"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([-118.51  ,   34.26  ,   29.    , 2119.5   ,  433.    , 1164.    ,\n",
              "        408.    ,    3.5409])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YMWrx7HQTKJE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X = imputer.transform(housing_numerical)\n",
        "#el resultado es un array, con esta linea volvemos a transformarlo en un DataFrame\n",
        "housing_tr = pd.DataFrame(X, columns=housing_numerical.columns, \n",
        "                          index=housing_numerical.index)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yLYOYo2UhA4A",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 355
        },
        "outputId": "d9154e9f-68eb-4850-d282-ebbc65516cd3"
      },
      "source": [
        "#housing.categorical\n",
        "housing_cat = housing[[\"ocean_proximity\"]]\n",
        "housing_cat.head(10)"
      ],
      "execution_count": null,
      "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>ocean_proximity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>17606</th>\n",
              "      <td>&lt;1H OCEAN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18632</th>\n",
              "      <td>&lt;1H OCEAN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14650</th>\n",
              "      <td>NEAR OCEAN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3230</th>\n",
              "      <td>INLAND</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3555</th>\n",
              "      <td>&lt;1H OCEAN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19480</th>\n",
              "      <td>INLAND</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8879</th>\n",
              "      <td>&lt;1H OCEAN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13685</th>\n",
              "      <td>INLAND</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4937</th>\n",
              "      <td>&lt;1H OCEAN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4861</th>\n",
              "      <td>&lt;1H OCEAN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      ocean_proximity\n",
              "17606       <1H OCEAN\n",
              "18632       <1H OCEAN\n",
              "14650      NEAR OCEAN\n",
              "3230           INLAND\n",
              "3555        <1H OCEAN\n",
              "19480          INLAND\n",
              "8879        <1H OCEAN\n",
              "13685          INLAND\n",
              "4937        <1H OCEAN\n",
              "4861        <1H OCEAN"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ay9KGBgThibK",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "outputId": "b8a38f49-e3b0-4843-cf50-2b69cb4716ef"
      },
      "source": [
        "#transformar categorias de texto a numeros\n",
        "from sklearn.preprocessing import OneHotEncoder\n",
        "cat_encoder = OneHotEncoder()\n",
        "housing_cat_1hot = cat_encoder.fit_transform(housing_cat)\n",
        "housing_cat_1hot\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<16512x5 sparse matrix of type '<class 'numpy.float64'>'\n",
              "\twith 16512 stored elements in Compressed Sparse Row format>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fuJZQgmujPgY",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "outputId": "61b1add5-3ba8-4f67-b0d2-ad194a718180"
      },
      "source": [
        "cat_encoder.categories_"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[array(['<1H OCEAN', 'INLAND', 'ISLAND', 'NEAR BAY', 'NEAR OCEAN'],\n",
              "       dtype=object)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fALwEq_1jdqm",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}