Boston_Housing_Dataset.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Boston_Housing_Dataset.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "TPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# **So Basically What is a Regression Problem ?**\n",
        "\n",
        "Data scientists use many different kinds of machine learning algorithms to discover patterns in big data that lead to actionable insights. At a high level, these different algorithms can be classified into two groups based on the way they “learn” about data to make predictions: supervised and unsupervised learning.\n",
        "\n",
        "It falls under supervised learning wherein the algorithm is trained with both input features and output labels\n",
        "\n",
        "It helps in establishing a relationship among the variables by estimating how one variable affects the other.\n",
        "\n",
        "A Regression Problem is when the output variable is a real or continuous value, such as “salary” or “weight”. Many different models can be used, the simplest is the linear regression. It tries to fit data with the best hyper-plane which goes through the points.\n",
        "\n",
        "\n",
        "\n",
        "![second-300x136.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "nHgYKUOj3WBH"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "R-JM4m6QCLH-"
      },
      "outputs": [],
      "source": [
        "# Necessary Imports\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LinearRegression\n",
        "import seaborn as sns "
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.datasets import load_boston\n",
        "data = load_boston() # Reading data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CdqmRJ-NCN7P",
        "outputId": "a6b7e7af-c527-4913-c9d5-203ebbae78ba"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function load_boston is deprecated; `load_boston` is deprecated in 1.0 and will be removed in 1.2.\n",
            "\n",
            "    The Boston housing prices dataset has an ethical problem. You can refer to\n",
            "    the documentation of this function for further details.\n",
            "\n",
            "    The scikit-learn maintainers therefore strongly discourage the use of this\n",
            "    dataset unless the purpose of the code is to study and educate about\n",
            "    ethical issues in data science and machine learning.\n",
            "\n",
            "    In this special case, you can fetch the dataset from the original\n",
            "    source::\n",
            "\n",
            "        import pandas as pd\n",
            "        import numpy as np\n",
            "\n",
            "\n",
            "        data_url = \"http://lib.stat.cmu.edu/datasets/boston\"\n",
            "        raw_df = pd.read_csv(data_url, sep=\"\\s+\", skiprows=22, header=None)\n",
            "        data = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]])\n",
            "        target = raw_df.values[1::2, 2]\n",
            "\n",
            "    Alternative datasets include the California housing dataset (i.e.\n",
            "    :func:`~sklearn.datasets.fetch_california_housing`) and the Ames housing\n",
            "    dataset. You can load the datasets as follows::\n",
            "\n",
            "        from sklearn.datasets import fetch_california_housing\n",
            "        housing = fetch_california_housing()\n",
            "\n",
            "    for the California housing dataset and::\n",
            "\n",
            "        from sklearn.datasets import fetch_openml\n",
            "        housing = fetch_openml(name=\"house_prices\", as_frame=True)\n",
            "\n",
            "    for the Ames housing dataset.\n",
            "    \n",
            "  warnings.warn(msg, category=FutureWarning)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Data Description :-**\n",
        "\n",
        "* **Data** :- Independent Variables also known as the x values.\n",
        "* **feature_names** :- The column names of the data.\n",
        "* **target** :- The target variable or the price of the houses(dependent variable) alse known as y value.\n",
        "\n",
        "The Boston Housing Dataset is a derived from information collected by the U.S. Census Service concerning housing in the area of Boston MA. The following describes the dataset columns:\n",
        "\n",
        "1. CRIM - per capita crime rate by town\n",
        "2. ZN - proportion of residential land zoned for lots over 25,000 sq.ft.\n",
        "3. INDUS - proportion of non-retail business acres per town.\n",
        "4. CHAS - Charles River dummy variable (1 if tract bounds river; 0 otherwise)\n",
        "5. NOX - nitric oxides concentration (parts per 10 million)\n",
        "6. RM - average number of rooms per dwelling\n",
        "7. AGE - proportion of owner-occupied units built prior to 1940\n",
        "8. DIS - weighted distances to five Boston employment centres\n",
        "9. RAD - index of accessibility to radial highways\n",
        "10. TAX - full-value property-tax rate per $10,000\n",
        "11. PTRATIO - pupil-teacher ratio by town\n",
        "\n",
        "12. B - 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town\n",
        "13. LSTAT - % lower status of the population\n",
        "14. MEDV - Median value of owner-occupied homes in $1000's"
      ],
      "metadata": {
        "id": "nQQP5JU-IXDN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Creating DataFrame\n",
        "\n",
        "boston = pd.DataFrame(data.data, columns = data.feature_names)"
      ],
      "metadata": {
        "id": "tNS8XiTMCT10"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Adding target value to the data\n",
        "\n",
        "boston['MEDV'] = data.target"
      ],
      "metadata": {
        "id": "F0nbS6QHCk2S"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "boston.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "OdTNECc-CmvS",
        "outputId": "1341eccb-20ff-443e-a2d7-b6e35c9b12a4"
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      "execution_count": null,
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              "      <th>CRIM</th>\n",
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              "      <th>CHAS</th>\n",
              "      <th>NOX</th>\n",
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              "      <th>0</th>\n",
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              "      <td>392.83</td>\n",
              "      <td>4.03</td>\n",
              "      <td>34.7</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.03237</td>\n",
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              "      <td>0.0</td>\n",
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            "text/plain": [
              "      CRIM    ZN  INDUS  CHAS    NOX  ...    TAX  PTRATIO       B  LSTAT  MEDV\n",
              "0  0.00632  18.0   2.31   0.0  0.538  ...  296.0     15.3  396.90   4.98  24.0\n",
              "1  0.02731   0.0   7.07   0.0  0.469  ...  242.0     17.8  396.90   9.14  21.6\n",
              "2  0.02729   0.0   7.07   0.0  0.469  ...  242.0     17.8  392.83   4.03  34.7\n",
              "3  0.03237   0.0   2.18   0.0  0.458  ...  222.0     18.7  394.63   2.94  33.4\n",
              "4  0.06905   0.0   2.18   0.0  0.458  ...  222.0     18.7  396.90   5.33  36.2\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "boston.drop([\"INDUS\", \"CHAS\", \"NOX\", \"DIS\", \"RAD\", \"TAX\", \"PTRATIO\", \"B\", \"LSTAT\"], axis=1).describe()\n"
      ],
      "metadata": {
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              "      <td>506.000000</td>\n",
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              "      <th>mean</th>\n",
              "      <td>3.613524</td>\n",
              "      <td>11.363636</td>\n",
              "      <td>6.284634</td>\n",
              "      <td>68.574901</td>\n",
              "      <td>22.532806</td>\n",
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              "      <th>std</th>\n",
              "      <td>8.601545</td>\n",
              "      <td>23.322453</td>\n",
              "      <td>0.702617</td>\n",
              "      <td>28.148861</td>\n",
              "      <td>9.197104</td>\n",
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              "      <th>min</th>\n",
              "      <td>0.006320</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>2.900000</td>\n",
              "      <td>5.000000</td>\n",
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              "      <td>17.025000</td>\n",
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              "      <td>77.500000</td>\n",
              "      <td>21.200000</td>\n",
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              "      <th>75%</th>\n",
              "      <td>3.677083</td>\n",
              "      <td>12.500000</td>\n",
              "      <td>6.623500</td>\n",
              "      <td>94.075000</td>\n",
              "      <td>25.000000</td>\n",
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              "      <td>100.000000</td>\n",
              "      <td>8.780000</td>\n",
              "      <td>100.000000</td>\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-16bf0954-ca83-4f43-86ca-6755da6b6d6a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-16bf0954-ca83-4f43-86ca-6755da6b6d6a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "             CRIM          ZN          RM         AGE        MEDV\n",
              "count  506.000000  506.000000  506.000000  506.000000  506.000000\n",
              "mean     3.613524   11.363636    6.284634   68.574901   22.532806\n",
              "std      8.601545   23.322453    0.702617   28.148861    9.197104\n",
              "min      0.006320    0.000000    3.561000    2.900000    5.000000\n",
              "25%      0.082045    0.000000    5.885500   45.025000   17.025000\n",
              "50%      0.256510    0.000000    6.208500   77.500000   21.200000\n",
              "75%      3.677083   12.500000    6.623500   94.075000   25.000000\n",
              "max     88.976200  100.000000    8.780000  100.000000   50.000000"
            ]
          },
          "metadata": {},
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "boston.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KuKyLHrzCuDH",
        "outputId": "0bfc7af5-8c01-4bb2-d9f3-9ef7a007812b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 506 entries, 0 to 505\n",
            "Data columns (total 14 columns):\n",
            " #   Column   Non-Null Count  Dtype  \n",
            "---  ------   --------------  -----  \n",
            " 0   CRIM     506 non-null    float64\n",
            " 1   ZN       506 non-null    float64\n",
            " 2   INDUS    506 non-null    float64\n",
            " 3   CHAS     506 non-null    float64\n",
            " 4   NOX      506 non-null    float64\n",
            " 5   RM       506 non-null    float64\n",
            " 6   AGE      506 non-null    float64\n",
            " 7   DIS      506 non-null    float64\n",
            " 8   RAD      506 non-null    float64\n",
            " 9   TAX      506 non-null    float64\n",
            " 10  PTRATIO  506 non-null    float64\n",
            " 11  B        506 non-null    float64\n",
            " 12  LSTAT    506 non-null    float64\n",
            " 13  MEDV     506 non-null    float64\n",
            "dtypes: float64(14)\n",
            "memory usage: 55.5 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Checking for Null Values and lloking at the output it seems there are no null values\n",
        "\n",
        "boston.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kBSdZMDECvbF",
        "outputId": "e976552c-26b7-499d-ed1d-b1ec8d6007a3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "CRIM       0\n",
              "ZN         0\n",
              "INDUS      0\n",
              "CHAS       0\n",
              "NOX        0\n",
              "RM         0\n",
              "AGE        0\n",
              "DIS        0\n",
              "RAD        0\n",
              "TAX        0\n",
              "PTRATIO    0\n",
              "B          0\n",
              "LSTAT      0\n",
              "MEDV       0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Comparing `Species` with all the remaining columns\n",
        "\n",
        "plt.figure(figsize = (14, 10))\n",
        "plotnumber = 1\n",
        "\n",
        "for column in boston:\n",
        "    if plotnumber <= 14:\n",
        "        ax = plt.subplot(3, 5, plotnumber)\n",
        "        sns.scatterplot(x = boston['MEDV'], y = boston[column])\n",
        "        \n",
        "    plotnumber += 1\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 729
        },
        "id": "nOQtG9ZHC0Pa",
        "outputId": "ec87525e-69c6-4a3a-b6c4-abd7eab5b50f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x720 with 14 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize = (16, 8))\n",
        "sns.heatmap(boston.corr(), annot = True, fmt = '1.2f', annot_kws = {'size' : 10}, linewidth = 1)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "PpbQtL8CDteJ",
        "outputId": "a33442df-6b18-45b2-b834-6db3155d5052"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Fb0xRRW9t1/gGAirOI2dhmLIQx449bRFyif4N28VuVHPZPMqpuzaWgAXAu3d5FEtRlGGKouxXFGX/smXL7les/ykarYaeH45hzxfruXEpvuQVyhNFwbn3SIzfWt9j9m+k0WpwrOjCusdncmD2ah5ZOsbeIRVPUdA/M5zM7+5cJzWBVdD3HIpx1Qd3zFMeabQanl00hl0r1nHj0vUiaY26tyawYTW2L/ufnaK7N1m//8TNkX0xrlyKcy/LraHmG4kkD3uGlEnPk/H5R1R4cQY4G+wc6d8zZ+BMhjUdhM7RgfqtGgDwWP8urJj9GSNbDmXFrM8Y+c5YO0dZPJNZ5WJyOp/2asa88EbM3nic1EzLRQR/V2f+b0Abfh7cll+jYklMzyrh3ezLdP4wxs+mkvnVG5hjonDsPAQApaIPGs8AjJ++hHHZS2geeAhNpVp2jvbe6MPC0NWpQ/q3lnussvfvJ3vPHjw/+gj3GTPIOX78Hzdr15sDZ/JC0+dwcHSgfivLxZGPpiyi84Bw3v7fezhXcCY3J9fOURZDUXDq8TxZP31mnabRoq1ej8yVC8hY+DK6hi3R1m5k+xhL4R+7XcR9cdd7llRV/fNOaYqiWI+7KlhvGXDrjEzNSbC+Ye5+8fPxIu56wRXOa9cT8PPxxs/Hm30HjxQsj0+gaZDtr8o2HRhGSO/2AFw5ch63wIKrFm7+nqRcu1Hsek+8NZSkC3Hs/rzgJt2UuBu4BXqSEpeERqtB72og40Za2RagGOqNBBTPgqt1Gk8f1BsFPTPoDWgqVcXlFUt7WnH3xDBuFhmLXsMUbadx8LepPehRavazbJfEQ+epEOjFrSZphUBPjHFFt4sx7gaGgIJhXIXzZFy9waWIffnvpZpVnDxdyUpKLfuCFKImJ6DxLLgCq3j4YE4uvF2c0QRWpcLk+ZZ0d08MY2aRsfg1zDFnUDy8cR71OsbP37EMsbSD5gPCaNrHsl0uHz6Pe2DBd+7m70lKXPH1pfu850m4EMfOz4ve1F6jdX1Cx3Rn+bOzMWXb50CmJiWg9S5UX7x8MCfeuZc7e8cfGIZPtLzIzUFNtZycm86fxhx3BW3gA5jOnSrTmIvTaWA4j/a2TJJz9shZvAILrqJ6+XuTdC3xTquSk5XDvg17afpYc47sOExoz/Z8MfNTAHb9FsmIt21/gcHXxYlrqQU3Y19Ly8THxem2PHoaBLjjoNVQyd1AFQ8DF5MzeNjfvUiemt4uHLhyg7Da/jaLvzA1LRnFtaCuKC4eqKnJRTNlpuc/zT22HYe2lqv72ppBmK6ehxxLY88UfQxNQHXMV2w/4QZYepI0hXqSND4+mOKtLxg6hoRQoX9/ksaPh0JDvtJXrSJ91SoA3F59ldxLl6zWtYXOA8Pp2PsxAM4dOYNXoA9guU/U09+LxBLry568+nKI2HNXmD3Acn9zQLVAgjs0KfP4b2dOTsShYqHtUtEb9WahMjg5owl4EMPYeQAobh44D5uBcdls1ORETGePo6ZbhnfmRu1HU7kGptO27+3/t20Xu/mHXYQorZKG4WkVRemjKMpkRVHq5y17XFGUnUC5mMYstE0Lfln3B6qqcvjYCVxcKuDj7Unr5iHs3HuAmymp3ExJZefeA7RuHmLz+Pat3MiS8GksCZ/GyQ37adTzEQAqB9UkK9VI2vVkq3U6TO6Fk6uBdW8UHZpyatMBGvdsC0C98GZc2Gk93MgWTBdOofWthOLtD1odDs1CyTm4syCDMZ3UcT1JndKf1Cn9MZ07Ua4aSgCnV2wiImw6EWHTubzuL6o9bbmHxDu4BtkpGRhv2y7G68nkpBrxDq4BQLWn23BpveUeuEvr9uPXuh4ArtX90TjqbN5QAjBFn0JTeLs0bUfu4V2FCpFB2ou9SJs6kLSpAzGdP5HfUMK5Aoaxs8n6/jNM56JsHvste77ayOLwaSwOn8aJDfsJespSXx7Iqy+p8db15dFJlvoSMatofQl4uApPzh3KquffJd1O95EB5J45iSagMhpff9DpcGzTgZx9kUXyaAIq5T93CGmJ+eplABQ3d9BYfqY1fgFoAypjvhZru+ALWb8yginhE5kSPpF9G3bTrqelUVsrqDYZqekkXy/akNUb9Pnj/zVaDSEdmnDlnKVcSdeTqNeiPgD1WzckLtr2ZXrY352LNzK4cjODHJOZ9afiCK1edMhW+5q+7L9kGd52w5hNzI0MKrk7cy01k8xcyw3OKZk5HLxyg6qeFWxehlvMcdEoFX1R3LxBo0X3UFNM5287Ea1Q0MDT1miMOW+onZqShLZybVA0lh6AyrWtJoawpZxTp9BWrozG31Jf9B06kLVzZ5E8upo1cX3xRZKnTUNNLvSboNGguFkm2NFVr45DjRpk77fPv52sWxnBlPAJTAmfwN4NewjNry91yEjNKLG+BBeqL25elm2nKApPj32GjV8XvShkC+aLp9H4BKJ4+oFWhy64LblHCw2zz8wgfVo/0t8YSvobQzFFn8K4bDbmS2fJPfEXmsAq4OAEGg3amvUxx12884eVoX/bdrEXVTWXyaO8Kmk2vM+AB4C9wCJFUWKBJsArqqr+VNbBAUx5/S32HTxCcnIKHbv3Z9TQAeTmWq4QP9ujK21bNmX7rn10eWYIzno9s6dZrsi6u7kyfFAfej8/HoARg/vadSY8gDObD1GrfWPGbXuPHGM2P09emp82ImIuS8Kn4ebvSdux3Yk/e4Xhv80BYO/KDRz4disH12ylx/sjGffnuxiT0+0zEx6A2Yzx6w+pMOktyxSi29dhjo3BqftzmKJPk3to111Xd52/CvQGFJ0DDkGtSX/3ZeuZ9Gzoyh+HCOzYiCd3vkuuMZtdEwuGqYVvnENE2HQA9k5dQauFw9DqHYndcpjYzZaTkXPf/knL94bx+OZ5mHNM7By/tNjPKXNmM5nfLMYwYS6KoiE7cr1lu3QbiCnmNLmHd99xVccOT6LxrYTTE/1xeqI/ABnvT7W+Om1Dp7Yconb7xrz45/vkGLP4YUrB9zomYi6L8+pL+7E9uH72CqPz6svuLzewf81WOk/th5NBT5+PLf9wkHwlkVUv3HH0cNkxm8j4dCGury+wTB3+RwSmS9E49xlC7tmT5OzbiT78KXQNQ8CUi5qWRvoiy9VZXb1GOPcZAqZcMKukL3kPNc32DfHbHdj8F0Htm/DhtiVkG7P4aHLBb9H8iPeZEj4RJ4MTLy+fjoOjA4pG4fiuo2xYZTmZWPryRwye+TwarZacrByWvvKxzcug02h4uUM9Rv2wH7Oq8uTDlanh7crHO89Qz8+d0Bq+tKriza6YBJ76cjtaRWFC2zpUdHZkd0wC7207CSiAysCQatTytuPxRTWTveUbnHpOAEUh91gkamIsDq26YY6LwXT+MA5BHdBWbwyqCTUznex1XwBgOvMXmgcfQj9wJqBiij6O6fyRu35cmTKZSP3gAzzmzweNhszff8cUHU2FwYPJPXWKrJ07cRk5EsXZGfc33gDAfO0aydOng06H5yLLDLjmjAxuzplTLmZdO7B5P8HtQ1i8bSlZxiw+nrwoP21+xEKmhE/AyaDnleWv5teXY7uOsmHV7wC06daWzgPDAdizbheb/2+T7QthNpO5dgmGUbMsx/3dGzHHXcQxvB+mi2cwHbvzfbAY08ne8hOGye+BCqao/Vb3NdnDv2K7CJtQ1LtM46MoyjGgoaqqZkVR9EAcUENV1Tv3U1or02F4tuLgbblpf2aVfnaOpPRmxlimtrw5+FE7R1J67l9YfpxWBfa3cySl1z/WMnQk5YXH7BxJ6bl9ugGA6VXtO/34/TAn2vIfL0k92tk5ktLz/NEysrpXlSftHEnpfRfzMwAZS8bbOZLSM4yw3COY8d4Ldo6k9AwvWoZXXgsNtW8g94Hf1q0APF2lm30DuQ/Wxljm5Eod97idIyk910WW+0//RdtFsXccf1fWmZ1lMgeoU61W5fK7KGmCh2w1r19MVdVM4PzfbCgJIYQQQgghxD9SScPwHlIU5VZ/vALUKPQaVVXLxzy2QgghhBBCiLJXju8vKgslNZYaAX7A7dPJPIBlSJ4QQgghhBBC/CuV1Fh6H5iqqmpM4YWKorjlpT1RVoEJIYQQQgghyhmz/SdOsaWSGkt+qqoevX2hqqpHFUWpWiYRCSGEEEIIIcqn/9gwvJImeKh4lzTn+xmIEEIIIYQQQpQnJTWW9iuKYjWXqaIozwN/lU1IQgghhBBCiHLJbC6bRzlV0jC8CcCPiqL0o6Bx1ARwBHqUZWBCCCGEEEIIYU93bSypqnoNaKUoSnugft7i31RV3VzmkQkhhBBCCCHKl//YPUsl9SwBoKrqFmBLGccihBBCCCGEKM/K8ZC5sqCoqlrWn1HmHyCEEEIIIcQ/kGLvAP6urCPry+Tc3qlhp3L5XdxTz5IQQgghhBBCqKr8z9J9N7NKP1t8TJmaGfM1ADkJ5+0cSek5eFcHoEnAI3aOpPT2X90OwOrAf/4+1ifWso81C2xn50hKb2/snwDEh/3zy+Kz0VKWh/2a2zmS0jt+bQ8AxpVT7RxJ6TkPnAfAC1V72TmS0vs0+jsAnq/6tJ0jKb3l0WsBeKpKNztHUno/xPwCwIla4XaOpPTqnokA4IkHH7dzJKX368X/AXCjZ6h9A7kPPL7fau8QxD2QniUhhBBCCCHEvZEJHoQQQgghhBCiGP+xCR5K+lNaIYQQQgghhPhPkp4lIYQQQgghxL35jw3Dk54lIYQQQgghhCiG9CwJIYQQQggh7o1Zpg4XQgghhBBCCGsyDE8IIYQQQgghhPQsCSGEEEIIIe7Nf2zq8Ls2lhRFGXi3dFVVV97fcIrXZeZAarVvRI4xm58mL+Xqsegi6Q56R3p9Mg7PB/0wm82c3nSATW+vAUDrqKPHeyMJbFCVjBtprB3zIcmXE2wRtpVX577Htsi9eHpU5KdVS6zSVVVl3sIlbN+1D73eiTnTJ1GvTk0Afo7YyNIvvwVg+HO9eTI8zKaxF2fy7PG07tiCTGMWMyfM5dTR01Z5ln6/CG9fLzIzswAY0/tFbiQm03Pgk/Qa1AOTyYwxw8icKfO5cDraxiUoEDx7IIEdGmEyZrN74lJuHLWOxaNBVVosHIFW70Ds5sMcmFF0939oeDhBr/fj+/rDyU5Ks1Hk1ibNHkerDs3JNGYxa+I8Th09Y5Xnk7UL8fbzIitvu4ztPZkbicn0HfYM3fp2xZRrIjkxmdkvvk3clWu2LgIADk2a4TJqLIpGg/H33zCu+aZIuv7xbjh36wFmE6rRSOr7CzBdjEFxdcPttVk41KlD5oZ1pC3+wC7x327qnBdp27EVRmMm08fN5sTRU1Z5vvjhY3z8vPO3ywvPjiMp4QYvz5pAs9YhAOid9Xh6e9Cy9qM2jf+WyHNxvLPhCGZVpUfjqgxpVccqz/qoyyzdfgKA2n7uvNW9GQBXb2bwxm8HuJZiRFHgw2dbUaliBZvGf7verw+mQftgso1ZfDH5Iy4ev2CVZ/yX03H3rYhWq+XMvhN8PeMzVLOZkPAWdJvwDP41KzH3yanEHD1vhxIU6PP6EBq0DyLbmM3nkxcXW5YJX07H3dcDTX5ZlueVpSXdJjxDQM1KzHlyKjFHz9mhBAWGznyB4PZNyDJmsXjyQs4fs/5uZ3w5Ew9fDzQ6LSf2HufTGUsxm81UrVuV4XNHoTfouX75OgvHv4sxzWiHUkCFR0Lwe3U4ilZD8v+tJ3HZd0XSnZvWx3/6MJzqVOPKxLdIXReZn+b70hBcQpuCRiE98iDXZi+1dfjFGvbGMELyts0HkxZy7tid95VXP5uB/4P+jAkbDUDrrq3pO7EvlWs+wKRuL3L2yFlbhV2ErnEzDEPGgEZL1h+/kfVj0eOL42Pd0Hfujmo2Q6aR9CULMF+OAUBbpTqG4ZNQDAYwq6S8PAJysu1RDGEjJfUsNb3D8m5AJaDMG0u12jfCs5o/i9pNonJQTbq+OZjl3V+3yrdzWQTRu6LQOmgZ+M00aoY24uzWwwQ/G0rmzXQWtZtE/Sda8OgrfVg75sOyDrtY3cPD6NuzG9NmLyg2ffuufVy8HEvEms84cvwksxcsZvWnC7mZksonX3zDms8WAfDs0HGEtmmBu1zdlekAACAASURBVJurLcMvonWHFjxQvTI9WvWhfnA9pr41iUFdhxeb99UxszhxuOiJ4bofNvL9yp8BaPtYaybOHMO4vpPLPO7iBHRohGs1f/7XehJewTVpMm8wGx+33seavjWEvVOWk3jgLO1WvURA+0Zc3XIYAEOgJ/7tGpBup4b4La06NOeBapXp2bof9YPr8fK8Fxny+Mhi8742+k1OHCm6XU4dO8NzXYaRZcyi58AnGTtjBNNHvGGL0IvSaHAdO4HklydhTojHY/FSsndFYroYk58la/MmMv/3CwCOLVvhMmI0N6e9hJqTTfqKz9BVq4auajXbx16MRzq2okq1B+jS4mkahtTntXdeok+XocXmfXnUaxw/fLLIsrdfW5j/vO/QXtRtYN1AsQWTWWXeusMs6dsGPzdn+n2+hXa1Aqjh45afJyYpjc93nmLFwHa4OTuSlJ6Zn/bqL/t5vnUdWlb3IyM7F0WxRykK1A8NwrdaANNDx1I9qBb95rzAvO7TrPItHf0emXkn2yM+mUSTri3Y9+tOrpy6xMcjFjBg7jBbh26lQV5ZpuWVpf+cYcztPtUq35JCZRn5yWSadG3Jvl8jiT11kY9HzGfg3OJ/x20puH0IAdUCGd1uOLWD6jDszZG80n2KVb4Fo9/ObwRNWfIKLbu2JvLX7Yx6eywr5nxO1J7jdHjmUboPf4rV735t62KARoP/zFFcHDSdnLgEqn2/kNTNu8k+eyk/S27sdWJffg/PoT2LrOocVBfn4Hqcf9zSyKjy7XwMzRqQsfeoTYtwu5D2TQisGsjwtsOoE1SHkXNGMfnJScXmbdm5JZnpRRupMadimDtsLqPnjbFFuMXTaDC8MJ60WZMxJ8bj+vYScvZF5jeGALK3byJ7g+X44tCkFYZBo0l78yXQaDGMn07GB3MxxZxDcXEDU669SmI/cs9SAVVVx956AOOAPUAosBsILvvwoE5YCIe/3w7A5YNn0bsZcPGtWCRPTmY20buiADDlmLh6LBo3f8/89Q99vw2AqIi9VG/9sC3CLlaTxg3u2sDZsmM33Tp3RFEUGtWvS2pqGvEJSUTu+YuWTYNwd3PF3c2Vlk2DiNzzlw0jt9aucxsivlsHwLEDUbi6ueDl63XP66enZeQ/dzboUVX1vsd4ryp3CiF6rWUfSzxwFkd3A/rb9jG9b0UcXJ1JPGC5Cha9djuVO4fkpwfNHMChN1fbtRwAbTu1IWLteiBvu7i74OXrec/r/7XzIFlGS6/G0QNR+Ab4lEmcJdHVqYsp9grmuKuQm0vm1s04tmpTJI+aUbAPKXpnuPXVZ2aSe/woanb5udLXoXNbfvnudwCO/HUMVzdXvP9GfSksvMdjRPyw4X6Gd8+OxSbxgGcFKntUwEGroVO9ymw9fbVInh8OXuDZkOq4OTsC4FlBD8C5+BRMZpWW1f0AMDjqcHaw70jwxo81ZfcPfwJw/uAZDK4VcPepaJXvVuNCq9Oic9Bxq5rHnbvCtfOxNov3bho/1pRdP2wFbpXFcE9luVWYq+WoLM3CmrP1+y0AnD54igpuFfDw9bDKZ7xDWQKqBRK15zgAh7cfokWXljaKvCjnhrXJjokl51Ic5OSS8ts2XDsWjSXnynWyTkVbn3yqKoqTA4qDDsXRAUWnIzcx2XbB30GLx5qz+fvNAJy6y7bRG/R0f6E7az5cU2T55bOXuXL+ik1ivRNtzYcwx13BfM1yfMnZsRnHpq2LZjIWHF/Q6/P3LV3jJpiiz2OKsfSmqWkp/7khaf9FJR6pFEXRAYOAyVgaSU+rqmo9fqSMuPl7khKbmP86JS4JNz8P0q4X/6OhdzNQ59Fg9ny+Lm99D1JikwAwm8xkpmZg8HAh44b9hkndybX4RPx9vfNf+/l6cy0+gWvxCfj7Fpy0+vlYltuTj78PcbHX819fuxqPb4A3idcTrfK+/v5UTCYzmyP+5LP3v8xf3mtQD/oNfxadg46RvSbYJO7iOPt7kl5oH8uITcLg70FmoX3M4O9BxtWkInmc8xrklTqFYIxLIjnqou2CvgNff2+uFdou12Pj8fX3IfF6klXeGe+/gtlsYvNv2/h8oXUncbc+4ezavKdM470Tjbc3pviCcpgT4nF4qK5VPn237hh6PgM6B26+ZL99qCS+AT5FhjNeu3odvwAfEoqpL29+MAOzyczG/21hyfufF0kLqOxP5QcD2bNjf5nHXJzrqZn4uzrnv/Zzc+bolaL7VkzeENTnvtyK2awyom1dWtfwJyYpDVe9Ay+u3c2V5HSaV/NlfPv6aDX2617y8PMkqVDdvxGXSEV/T27GWx9fJqycTtVGNTm29RB/Rey2ZZj3pKKf121lSaKiv9cdyvIq1RrV5NjWg+wvh2Xx9PciITY+/3ViXCKefl7cuH7DKu+MlTOp1bg2B7b+xa6InQBcOnORZo81Z++GPbTq2hrvAG+r9WxB5+9F7tWCY3VOXALOje6tV9h46CQZu49Qa+cqUBRufPUr2eculbxiGfPy9yKhUJkS4xLx8rfeNv0n9+fHZT/lX3wrTzSePpgTCvYvc1I82lr1rPI5de6O0xO9UHQOpM6cCIA24AFAxWXGOyhuFcnesZmsn7+1Vejlh50aiIqidAY+ALTAclVV37ot/UHgS6BiXp5XVFWNKO3n3rVnSVGU0UAUEAJ0VlV1kC0bSn+XRquh54dj2PPFem5cii95BVHmXh09i94dBvFC99EENW9I116d8tO+W/Ej3Vv25sM5Sxg64a63x5VbWmdH6o3txtH5a+0dyt/y2pg36dtxMMO6j6Vx84aEP92pSHrnp8Ko27AOX31Svg8Cmb/8RNJzfUlfvhRD33/mPlTYy6Nep0doPwZ0G05wi8Z069WlSHp49zA2/G8z5nJ8JdNkVrmYlMby/m15q0czZv12kJTMbExmlYOXEnixYwO+HtKeKzfS+eVITMlvWE4sHDiHyc2GoXPU8VCr+vYOp1QWDnyTSc1eQOfoQN1/eFlmD5zJ0KbP4eDoQINWDQH4aMoiOg8IZ/7/3sO5gjO5Of+8YVIODwbgVPMBzjwykDNtBmBo2QjnJvYbGfN3VKtXDf8qAexev8veoZRK1rqfSBndj4yvlqLvOcCyUKtF91AD0hfOIXX6WBybP4KugU0GWpUvZnPZPO5CURQt8BHQBagH9FEU5fZW7qvA/6mqGgT0Bj6+H8UtqWfpQ+A60AZorRQMMFcAVVXVhsWtpCjKMGAYwNKlf/+GxKYDwwjp3R6AK0fO4xZYMFzFzd+TlGvWV5cAnnhrKEkX4tid16sEkBJ3A7dAT1LiktBoNehdDeWyVwnAz8eLuOsFV2yuXU/Az8cbPx9v9h08UrA8PoGmQcV+9WWq16AedO/3BABRh0/iH+jL4bw0vwAfrl+17u2Kj7Msy0g3su6HTTzcuC6/fbe+SJ4NP/3B1LeKH/NcVmoNCqNGP8s+lnjoPBUCvbgVvSHQk4y4ovtYRtwNDAEFw9kMgZ4Y45JwqeKHy4M+dN40z7I8wJPO6+ewIfw1MuNv2qQsTw/qTvd+jwMQdegUfoG++Wm+gT5cj7O+cFB4u6z/cRP1gh7KH77X9JEQBo8fwIinxpGTnWODElgzJySg9Skoh8bbB1PCnXtTs7b+gcv4iTDfFtHdmz6Dn+bp/k8CcOxQFP6V/PLT/AJ8uXbVervc2lYZ6RlE/LCeBkEP5w/fA+jSPYw3X7FfIX1d9cSlFtyDcC3FiG+hniYAP1dn6lfywEGroVLFClTxcuFiUhp+bs7U8atIZQ/LhA7t6wRy5EoSPWxaAggd0Im2fSyTY1w4fBbPQscXD38vkuOse2Fvyc3K4fDGfTQOa8qJHUfumM9W2g/ozCN9OgIQffjcbWXxJDnOuufyltysHA7llSWqHJSl88Bwwno/BsDZI2fwDvQBLJOEePl7kXTtzmXJycph34Y9NH2sOYd3HOLKuSvMGmC57zSgWiAhHZqUefzFyY1LRFeoV8vB35vcu5SjMNfHWmE8dAo1w3LPX/q2/TgH1cW4/3iZxHo34QO70qmP5YLamSNnivTUefl7kXjbfvZQ8EPUbFiT5ZGfodVpcfdyZ+6aeUx71voeOnswJ8Wj8S4YraPx9EFNvPMF9pzIzVQYNpEMwJwYT27UYdRUy/E958ButNVrkXv0QFmHLaAZcFZV1fMAiqJ8CzyJpVPnFhW4dROtO3BfxhaX9D9Lo4AWwOPAE4UejwOr7rSSqqrLVFVtoqpqk2HD/v6Nr/tWbmRJ+DSWhE/j5Ib9NOr5CACVg2qSlWosdgheh8m9cHI1sO6Nr4osP7XpAI17tgWgXngzLuy0/Q/NvQpt04Jf1v2BqqocPnYCF5cK+Hh70rp5CDv3HuBmSio3U1LZufcArZuHlPyG99l3K36kX9gQ+oUNYevv2wnv1RmA+sH1SEtNsxqCp9Vqcfd0tzzXaXkkrBXnTllmZ3qgWuX8fG0ebcnFC5dtVAqLMys2si5sGuvCpnFl3X6qPm3Zx7yCa5KTYiwyBA8g83oyOalGvIItsxNWffoRLq//i5snL/Fjw1H82nwCvzafQMbVJNZ1mm6zhhLA2hU/0T/sefqHPc+f67bn9xLVD65HWkq61RC827dLm0dbcv6kZbvUrl+LqW9PYvKgqdyw4/j43FMn0VaqjMbfH3Q69KEdyN4VWSSPtlKl/OeOzVtiumLbfagkq79YS8+OA+jZcQB//L4tv5eoYUh90lLTrIbgabVaKuZtF51OS7uwNpw5WTDLVLWaVXBzd+XQfvvd4P1woAcXk9K4kpxOjsnM+qjLtKsdUCRP+zoB7I+xNGxvZGQRk5hG5YoVeDjAg9TMHJLSLcNy9kZfp7q37Sep2frVemaFT2FW+BQObdhHi6faAVA9qBbG1AyrYWtOBn3+vT8arYYGHUKIO2ffey5u2fLVuvyyHNywl5ZPhQL3XpaGHYK5Wk7Ksm5lBJPCJzApfAJ7N+whtKflYlbtoDpkpGZYDfPSG/T598potBpCOjThyjnLb4C7l6UeKYpCr7HPsP7rddiD8ehpHKsG4lDZDxx0uHVtS+of9zbsMSc2HkPT+qDVgE6LoWkDss/ZZ6h3xMrfGN9lHOO7jGP3+l106NkBgDp32Da/r/qdQU2f4/nWQ3m550vEXogtNw0lANPZU2gCKqPxtRxfHNp0IHv/ziJ5NAEFxxeHkBaYrlrqSe6hvWirVAdHJ9Bo0T3cGNOlf04P+f2iqqYyeZSgElB4LOrlvGWFzQT6K4pyGYgAxt6P8pbUs/QR8CcwQFXVIr+oiqL0Bt65H0HczZnNh6jVvjHjtr1HjjGbnycX9FSNiJjLkvBpuPl70nZsd+LPXmH4b3MA2LtyAwe+3crBNVvp8f5Ixv35LsbkdLvNhAcw5fW32HfwCMnJKXTs3p9RQweQm2sZHvBsj660bdmU7bv20eWZITjr9cyeZhkj6+7myvBBfej9/HgARgzua9eZ8AAi/9hF644t+GnXt2QaM3lj4rz8tK83fk6/sCE4ODqwePW76HQ6NFoNe7fv58dVvwLwzJCnaPZIE3Jzckm9mcrMcXPsVRRi/zhEQMfGPL7zPUzGbPZMLNjHOm+cy7owy+xY+6d+QfOFw9HqHbm65TBXNx++01vaTeQfu2nVsQU/7PyGTGMWsycWDOddtXE5/cOex8HRgUXfzEen06HVati7/S9++vp/AIybMQLnCs7MW2aZAS/uynUmD7KeHazMmU2kLV6I+7wFKBoNmesjMMVEY3huCLmnT5K9ayf6J5/CMSgETLmYU9NIfadgH/T86lsUQwUUBx2Ordpw85XJRWbSs7VtmyJp27EVv+/5nkxjJq+On52f9v0fX9Gz4wAcnRxY9u0idA5atBotu7bvY+2qn/Pzdekexu8/b7RH+Pl0Gg2vdGrMyNWRmM0qTzaqQk0fNz7+M4p6ARUJrR1Iq+p+7Dp/naeWbkSjKEzsWJ+KBicAJnasz/BvtqOqUDegIj2D7Dtb4dEtB2jQPog5f35ItjGbFVM+yk97LWI+s8Kn4GhwYszyl9E5OqBoFE7tOs6fX1sm2Ajq1Iw+M4fg4unGuM+nculENAsH2ue3zFKWYOb+udgyDfqUgtEnt8riZHBizPJXcMgry8ldx24ry1BcPd0Y//lULp6IZuHAN+1Slr827ye4fQgfb1uaN3X4ovy0dyMWMil8Ak4GPVOXv4rO0QGNRuHYrqOsX2XphW3TrS1dBoYDsHvdLjb/3ya7lAOTmbg3PuGBz9+0TB2+dgPZZy/iPb4/mUfPkLZ5D/oGtaj88Qy0bi64tG+Oz7j+nA8fSeq6HVRo2ZDqv30MKqRt+4u0zXvtU45C9m/eT5P2TVi2/VPL1OGTC2bq/OD3RYzvMu6u67fo1JLhs4bj7unOa1+8zoWoC7w+4LWyDrsos4mM5R/gMmM+aDRkb/4d86Vo9L0HYzp7ipz9O3Hq0gOHhiGouSbU9FTSF1uOL2p6Glm/fofbO0tAtfQs5R4of/f9/VMVHpmWZ5mqqsv+xlv0AVaoqvquoigtga8URamvqqWbvk+52+xdiqIcxDLe7zVgoqqqawun5Y0JLIk6s0q/0sRYLsyMsUw7mpNg3//RuB8cvKsD0CTgETtHUnr7r1pmsVsd+M/fx/rEWvaxZoHt7BxJ6e2NtcwwFh/2zy+Lz0ZLWR72a27nSErv+DXLhB3GleXnKu//L+eBlpOXF6r2snMkpfdptOW/d56v+rSdIym95dGW04SnqnSzcySl90OMZeroE7XC7RxJ6dU9Y7nH/YkHH7dzJKX360XLxb0bPUPtG8h94PH9VrDc2vKPYtz6eZlM/escOuSO30Ve42emqqqd8l5PBVBVdV6hPMexzLFwKe/1eaCFqqrXi3nLe1bSMDxVVdVPgY7Ay4qifKEoiuFWWmk+WAghhBBCCPEPo5rL5nF3+4BaiqJUUxTFEcsEDr/cluciljYLiqLUBfRAqWd8K6mxBICqqqeBlsA14KCiKP/8S6xCCCGEEEKIck9V1VxgDLAey+wv/6eq6nFFUWYpinKrK3sS8IKiKIeB1cAg9T78AWZJ9yzld4flBfmKoijr8gKwz79VCiGEEEIIIezDTn9fkfefSRG3LXut0PMooPXt65VWSY2lN25foKrqVkVRQoDh9zsYIYQQQgghhCgv7tpYUlX1pzssvwG8VVyaEEIIIYQQ4l+qdJPL/eOU1LMkhBBCCCGEEBZ2GoZnL/c0wYMQQgghhBBC/NdIz5IQQgghhBDi3vzHhuFJz5IQQgghhBBCFEN6loQQQgghhBD35j92z5JyH/6rqSRl/gFCCCGEEEL8AyklZylfjL8vKpNze+cu48rldyE9S0IIIYQQQoh78x/rWbJJY+nm4Edt8TFlyv2LTQA0CXjEzpGU3v6r2wHISThv50hKz8G7OgBb/XrZOZLSC732HQDG9YvtHEnpOXcaA8BTVbrZOZLS+yHmFwCMn022cySl5zx0AQBuFarbOZLSS0m3/H5lfDDCzpGUnmH8EgCMP/7z/77QuccrACT3aW/nSEqv4uotAPSt0sPOkZTeNzE/ApDx4Sg7R1J6hrEfA9C2Ukc7R1J62678Ye8Q/v/IBA93piiKg6IoQYqi+JZVQEIIIYQQQghRHty1saQoyhJFUR7Oe+4OHAZWAgcVReljg/iEEEIIIYQQ5YXZXDaPcqqknqVHVFU9nvd8MHBaVdUGQAjwUplGJoQQQgghhBB2VNI9S9mFnocB3wGoqhqnKOVywgohhBBCCCFEWfmP3bNUUmMpWVGUx4ErQGtgKICiKDrAuYxjE0IIIYQQQpQn5XjIXFkoqbE0HFgE+AMTVFWNy1veEfitLAMTQgghhBBCCHu6a2NJVdXTQOdilq8H1pdVUEIIIYQQQohySIbhFVAU5UOg8L/0qkACsEVV1R1lGZgQQgghhBBC2FNJw/D2F7PME5ivKMoaVVUXlkFMQgghhBBCiPJI7lkqoKrql8UtVxRlCbATKPPGkq5+U/R9R4FGQ86238mK+Lb4fCGPUGHM66S9MQpT9GmUCm4YRr+GtlodsiPXk7lqcVmHek8mzx5P644tyDRmMXPCXE4dPW2VZ+n3i/D29SIzMwuAMb1f5EZiMj0HPkmvQT0wmcwYM4zMmTKfC6ejbVwCi1fnvse2yL14elTkp1VLrNJVVWXewiVs37UPvd6JOdMnUa9OTQB+jtjI0i8t23H4c715MjzMprHfzrN9Y2q+ORhFq+Hq139w8cOfiqQrjjrqLh6La8Pq5NxIJWrY+2ReigegQr0HqT1/ODoXZ1RV5UCnVzBn5dijGABERsXwzg/bMJtVerSsx5CwJkXS5/+wnX1nLgOQmZ1LUloGO94eDsDVpFTeWP0H15LTUIAPR3SjkpebrYtQxNCZLxDcvglZxiwWT17I+WPnrfLM+HImHr4eaHRaTuw9zqczlmI2m6latyrD545Cb9Bz/fJ1Fo5/F2Oa0Q6lgMjz13nnj2OYVZUeDR9kSItaVnnWn4xlaeQpAGr7uvPWE8H5aWlZOTz12Vba1/JnalgDm8V9J+/Mf43HOoWSYcxk5PApHD50vEi6i0sF1m1ck/+6UqA/a9b8zCsvzaZV66a89c4M6td/iMHPjefnn363dfj5NFXq4djuGVA05B6PJHe/9ehyba0QHJo/DqiYEy6Tve5zy/K6LXBoFg5Azt4ITCd22zJ0K5GnLvPOr3ss+1jT2gwJbVgkff6ve9h33nLbcWZOLklpmeyY2Y+TsYnM/WkXaZk5aDUKz7dvSKdG1e1RhCJ0jZriPHAMaLRkb/mNrF9WF0l3fPQJnMK6g9mMmmkkY/m7mK/EgFaLYdgUtFVrgVZL9vYNZP38jZ1KUWDgzKE0bh9CtjGLJZM/JLqY37KXv5xBRV8PtDotJ/ee4IsZy1DzTkofGxTOYwO6YDabObj5L1bPW2nrIhAZk8j87acxqyrd6wUyJKSqVZ4NZ66xZO95FEWhtpcL8zrVB+CXE1dZvv8CAM83qUa3ugG2DP2Oxs0aTYsOzckyZjFv4jucPnbmjnnnfTGbgAcDGNTxeQBqPlyDSW9NwNHJEVOuifenfcCJQ6dsFbp9SWOpZKqqGm0ydbiiQT9gLOkLXkZNisfltY/IObQTc+zFovn0zjiF9SD33ImCGHOyyfxxBdpKVdFUrlr2sd6D1h1a8ED1yvRo1Yf6wfWY+tYkBnUdXmzeV8fM4sThopVu3Q8b+X7lzwC0faw1E2eOYVzfyWUed3G6h4fRt2c3ps1eUGz69l37uHg5log1n3Hk+ElmL1jM6k8XcjMllU+++IY1ny0C4Nmh4wht0wJ3N1dbhl9Ao6HWW0M5/MxssmKTCFk/j4T1+8k4fTk/S0DfDuQmp7GnxVh8u7ei+oz+RA17H0Wroe5H4zgx+kPSo2LQebhgzjHZpxyAyWxm3ndbWTK6O34VXei3YA3t6lenRoBnfp4pTz2S/3z1n4c5eTk+//Wrqzby/GNNaPnQg2RkZWPvvwcIbh9CQLVARrcbTu2gOgx7cySvdJ9ilW/B6LfzG0FTlrxCy66tifx1O6PeHsuKOZ8Ttec4HZ55lO7Dn2L1u1/buhiYzCrzNh1lyTMt8HN1pt/K7bSr6U8N74J9PiYpjc93n2FFv9a46R1JSs8q8h4f7ThF8ANetg69WI91CqVGzao0btiBpk0b8/7C2XQIfapInrS0dNq0fDz/9Z87fuaXn9cBcPlSLCOHv8S48c/bNG4rioJjaB+yfvwANe0G+t5TMZ0/gpp0tSBLRV8cmnQi87v5kJUBznnbzMmAQ/OuZK6eB4C+j2VdsjLsURJL3f95N0uGdsLP3UC/xb/Sru6D1PCrmJ9nyhPN85+vjoziZGwSAM4OOmY/8whVvN25npJB3w9/oWXtSrg5O9m8HPkUDc6Dx5M+dwrmxHhc5ywh56+dlsZQnuzIP8je9CsAupBWOA8YRfpbL+PQPBR0DqS+PBQcnXBbsIKcyD8wJ1yzU2Ggcftg/KsF8mK7UdQMqs2QN4fzWveXrfItGr0g/7dswpKXaNG1Fbt+3UG9lvVpEtaMV7pMJDc7Fzcvd1sXAZNZ5a0/T/HJk0H4uTjR7//20a6aNzU8XfLzxCRn8Plf0azo2QQ3vQNJGZZ/n7mZmcOyfef5+plmKEDf/9tLaDVv3PQONi9HYS06NKNytcr0bTOQesF1eXHeeEY8MabYvG27tCEjvejFtpHTh7Hiva/Ys2UvLTo0Y8T0YYzvNckWoQsbK+lPaa0oiqJTFGUwcLnEzKWkrV4H8/VY1PirYMolZ+9WHIJaW+XT9xhEVsQayCn0t1DZmZjOHEMtvMzO2nVuQ8R3lhOGYweicHVzwcv33k+A0tMKDsTOBj2qqt4ld9lq0rjBXRs4W3bsplvnjiiKQqP6dUlNTSM+IYnIPX/RsmkQ7m6uuLu50rJpEJF7/rJh5EW5BdfEeCGOzJjrqDm5XP8pEu/ORXtjvDs3Je7//gQg/tfdeLSxXCnzCG1EelQM6VGWA3jujTS7Xm05FnONB3wqUtnbHQedlk7Btdl61Prq5S2//3WaziG1ATh3NQmT2UzLhx4EwODkiLOjfQ9kzcKas/X7LQD/j737Do+i+B84/t67S6+kXkJNaBJ6CR1pAgGVIlWagApYsFAsIHYE9ScWsIBgpyioiBgTOlJCCSVU6SSQnlx6LuXu9vfHhiSXQvgachdlXs9zD9zu7N1ncrszOzuzs1w4fh4nVyfq+NQpl+7myYVao0Zjo4Gi48IvwJ+zh5Qej6i9J+g6uJuFIjd3Oj6N+u5O1HN3wkatYlALf3ZfSjBL88vJGMa2b4SrvS0AHk4lJ6pnE9LR5eTTrZG3ReOuzJD772Pd2l8BOHLkBG5urvhqK4+tSZMAvL09ObD/CAAxMbGcOf03JitfmVT5NkLOSELOTAGTEcOF6VhfjwAAIABJREFUI6gDzXtjNC17UnhyT0kjSJ8FgLphEMaYc8ry/FyMMedQNwyydBaKnb6eQn1PF+p5uijHfttAdp+NqTT9n1FXCGkXAEBDbzcaeikn3z6ujng42ZOWk2eRuCujbnIPpoQ4TElK3V8QsRObTmXqfn1JfSjZ2Rcf9yAr71UqJFs7ZEMhst46jdibOg7ozN6isuzS8Qs4ujrhfhtl2c06/r6JIWz+7BcMBQYAMlMzLBR5idOJmdR3c6Cem4NSjjX1ZfeVFLM0v56JZUzresWNIA9HpTw7EJNK1/oeuNnb4GpvQ9f6HuyPSbV4HsrqOagH4Ru3AnD22Dmc3Zzx9PEol87B0Z4x00fx3cfmF9tkWcbJxREAJxcnUhKtnyeLkeWaedVSVU3wkIUyqUPpS8y5wB6UacVrlFTHC1mXVPzepEtG3fgeszSqhk1QefhgOHkIu8FjajqkavHWepMQV5KfxPhkfPy8SE0qf4C99uHLGI0mdobuYfWHJaMhR08ZwYQZY9HYaHhi9HMWifufSExORevjVfze18eLxOQUEpNT0PqUnFj5eivLrcVO60F+XMnfPz9Oh2sH8yFSdn4e5McqMcpGE4asXGw8XHBs7IcsQ5v1C7DxdCVp036uf7rZovGXlpSeg9a95Cqfr7szp6ITKkwbp8skTpdJ52b1AIhOTsPFwY7Zq/4gNjWTLs3r8+zQ7qhV//P1lDvGQ+tJSlxJz1dqQioevp6kJaWVS7vwu9dp2q4Zx3YfJSL0AADXL8bQeWAXDm89RPf7e+Dl51VuO0tIys5D61LyWDpfF3tOxaWbpYnWZQPwyJp9mEwyM3s0p0egDyZZ5oNdZ3nngfYcvGa946Q0f38tN26U9L7ExiXg76clMSG5wvQjRz3ALz/XvidNSM51kLNK9iU5Ox2VNsA8TR0fVIBm9DyQJAoPbcEUfbbCbSXn8ie/lpKUmYvWzan4va+bI6euV/x7xKVlE5eWTefG5YdBnbqeTKHRRH0P6w6/VdXxwpRaqu5PTUbTpEW5dLYDhmN3/ygkjQ3Zb88GoPDQHmw69sD185+RbO3Qf/8Zck6WxWKvSB2tJ7pS9YwuIZU6vh6kV1CWvfTdqzRu15QTu49xKDQCAG2AP807BzFm3gQK8wtZs+gbrpy8ZKnwAUjKycPXxb74va+zHacTM83SRKcrjdIpGyMxyTIzOgfSo6Enydn5+DqXbOvjbE9ytnnvuTV4ab1IKlXHJMcn46X1IjVJZ5bu0Rem8uOKDeTrzS8iLHvtM/5v7RKeXDgDSVLx5LBZFolbsLxbngnJsuwiy7Jr0b83X76yLI+RZTnOUkFWSpJwGPcE+vXl75n5N3vlqTcZ128Kjw9/ivZd2nD/6EHF6zZ88yvDu41j2aIvePS5yVaMUpDUaty63MO5Jz/h+NCFeA3pgnuvVtYO67aEH73Ife2aFDeGjEaZ45fjmD28J2vmjiU2NZPNh85V8Sm1x1uTX+fR4EewsbWhdXeld+DTeZ8QMmkI729ZioOTA4ZCg5WjrJzRJBOTlsOqcd1Z8mBH3gyPIjOvkJ+OX6NnoA++Lv/eZ4CPHPUAG3/63dph/COSSoXk7kP+zx9QELYa2/4Twfbf+1sAhEdd4b5WjcpdCEnOzOWVH//ijdE9UamsOwT3dhVs20TWcxPRr12J/YhJAKgbtwCTicwnR5H57Hjs7h+Nyqd23B9zO5ZMfpMng6dhY2tDy+7K/YlqjRpnd2deHf4ia9/5lmc+s87w+6oYTTIxGXq+HNGBxYNa8dauc2RZ8R7eO6FJy8bUbejP3rD95dYNm/wgy1//nFHBD7P8jc948YPa+bvUCJOpZl61VJWXjYuG3T0oSdK8otf9kiRV1SM1XZKkSEmSIleuXPmPg5PTUpA8fEqC9fBGTivVC2PviKpuI5xf+gCX939A3bgFjs+8ibpRs3/8nXfa6CkjWLPtK9Zs+4qUpFS0/iX58fXzJim+/NXi5ARlWW6OnrBfttOyXfkrals37aBPSK9yy2sLX29PEpJK8paYlIKvtxe+3l4kJJVcyUlMVpZbS36CDjv/kqGQdv4e5CeY9/Tlx+uwq6vEKKlVaFwcKdRlkR+fSkbEWQp1WZj0Bei2H8OltfVujPZxdyIhPbv4fWJ6Nj5uzhWmDTt2gZAOJceJr7szzet6Uc/LDY1aRd/WgZyr5Mp0TQqZPIQPQj/ig9CPSEvS4eVf0gvpqfVEd4thDoX5hRzZeojggcq9GbGXY3lz0mvMe2A2ezf/RUIlvWw1zcfZnoSskrHuiVl5+JS6Qgvg6+JA7ya+2KhV1HV3pGEdZ2LScoiKTePHY1cZ/MV2Ptx9hi1nbvDxHss3Yh+fPol9EVvYF7GFhIQk6tUrOfms668lLr7iv22r1veg0Wg4ceK0pUK9bXJ2GpJLSW+Q5OyOnG1+pd+UnY7xapQyiUBmKnJ6Eqo6Pre1rSX5uDqSkJFT/D4xIxcfV6cK04ZFXS0egndTdl4Bs77ZxtODOtKmgU+F21mSKS0FlWeput/TG1Na5T2rhaWG6dn26E9h1GEwGpEz0zFcOIM6sHmNx1zWgMmDeSd0Ke+ELiU9KQ2PUvWMh9aTtERdpdsW5hdydOthOg3sDIAuPoUjYcoEIpejLiKbZFws3Pvn42RPYlZJz0pidj7eTub3tfk429O7kZdSjrk60NDdkZh0Pd7OdiRml2yblJ2Ht7N17okb8cgwVm9dweqtK0hNTMWnVB3j7edNSoL5ftayYxDN2zTjx4NrWL7pY+oH1uPjDR8AEDJ6IHtC9wKw6/c9tGhnPvJJ+O+4ZWNJkqS6wBlgDuAP1AVeAM5IkuRf2XayLK+UZbmTLMudpk+f/o+DM149j9qnLpKXFtQabDr3ofD4gZIE+hyynhlJ1ryJZM2biPHyOXI/eRXjtfIzzFnLhm9+ZcKAaUwYMI3df+5lyGjlGb+tOgSRnZVdbgieWq3GzUMZP67WqOk1oDuXzyszyNQPqFecrud93Yi5WuO3jf1jfXp2ZXPYDmRZJur0OZydnfD28qBHl44cOHyMjMwsMjKzOHD4GD26dLRanFnHL+EQ6Id9Ax8kGw0+w3uQEm4+Y35KeCTaMb0B8H6wK2n7lBM/3a4onFo0QOVgi6RW4d49iJwL1vtNWjbwJSY5ndjUDAoNRsKPXaB364By6a4m6sjU59M2QFuybUMfsvT56IpO6g9fvEGgtvzY7ZoW9l0oc4Y8x5whz3F46yH6jOwLQLP2zcnNyi03BM/e0b74PiaVWkXHfp2Ivaz8Bm5FN0FLksToWWMIXxNmwZyUaOnnTkxaDrHpuRQaTYSfi6N3E61Zmr5NtUQWjeFPy80nOi2beu6OLH6wA2FPDODPmffxfJ+WPNCyHs/2Ln/xpKZ9ufJ7enZ7gJ7dHuCP37fx8PgRAAQHtyMzM6vSIXijRg9l44ba2atkSoxGcvdBcvUElRpNs2BlkoZSjJdPoK5bdFHB3gnJ3QdTRgrG6LOoGwSBnSPYOaJuEIQx+qwVcqFoWc+LmNRMYnVZyrEfdYXeQfXLpbualE6mvoC2pRpEhQYjs7/fyQMdmjCgdSMLRl054+W/UWnrovJW6n7bbv0oPHrALI1KW7f4/5r2XTEmxAJgSklE07K9ssLOHk2TFhjLTgplAdu++5P5Q2Yzf8hsIrceoldRWdakfTP0WbnlhuDZOdoX38ekUqto168jcUVlWeTWwwR1U3qZtAH+aGw0ZOnMh8DVtJa+LsRk5BKbqVfKsYuJ9Akwv9DZN9CbyFglX2n6AqLTc6nr6kD3Bp5ExOjIzCskM6+QiBgd3RtYZ8KaX7/9jUcHzuDRgTPYG76fQaMGAhDUoQU5mTnlhuD99t3vPNRxLGO7TuDp4c9y/cqN4kkcUhNTadetLQAderbnxtVYy2bGmu6ynqWqZsNbBHxe9nlKkiQ9AywGHqmpwAAwmdCvWYbTnCXK1OF7wzDFRWM3/BGM1y5gOBFxy81d3v8B7B2RNDbYtO9Bzgcvlp9Jz4L274igR/+ubIpYT54+jzeeX1y8bs22r5gwQOl6X77uAzQaDSq1isN7I/n1B+VkY8y0h+jcqxOGQgNZGVm8/swia2WFea8t4cjxk6SnZ9J/+ESefHQSBoMyzGnsiPu5t1sweyOOMHjMNBzs7Xlr/vMAuLm6MGPKw4x77FkAZk4db72Z8FDuQbr48mrarF+gTB2+bhe552/Q6IWxZEVdJjU8koS1O7ln+Sy6HFxGYXo2Z2d8CIAhI4cbX2yhY9gSQCZ1+3F0249ZLS8atYqXRvXmic82YzKZGNY1iCZ+nnz2x0GCGvjQp6jXK+zoRUI6NDWb7U6tUvH88J7M+PRXZBla1PdmZPeW1soKAEd3RtKhb0c++2tF0dThnxSv+yD0I+YMeQ47R3teXvUKGlsbVCqJ0xGnCP9BmYq659B7GTxZmdr5YFgEO3/abpV8aFQqXrqvFU9sOIhJlhnWuj5NvFz4bO/fBGnd6dNUS/cAbyKuJfPQ6l2oJInn+wTh7mBrlXirEh6+i4GD+hB1ahe5+jyenPFC8bp9EVvMZsEb8dAQRj00zWz7Dh3asGb957i7uzF4cH/mL3iWLsEhFou/mGyiYPeP2A1/Rpk6/OwBZF08Nl0fxJQYjfHqSUzRZ5EbBGE/8TWQTRTu+wXylB6cwsOh2I97qej/f1htJjwoOvaHduWJr7ZiMskM69SUJr51+GzrMYLqedEnSJm4JSzqKiFtA8yO/a2nrnHsagLpuflsPqrcB/Pm6J7c42/F2RdNJvTffILTy++BSkXB7j8x3biG/aipGK6ex3D0AHYDR6Bp3REMBkw5WeR+vgSA/K2bcJz5Ii7vfw1AwZ4wTDGVT3RjCSd2HqVd3458+Nfn5OvzWTF3WfG6d0KXMn/IbOwc7Ziz6mVsbG2QVCrORpxi+w/KVPa7f9rBjPef5t2tH2MoLOTzOZ9U9lU1RqNS8eK9zXnyt+OYZBgW5EdjT2c+O3SZIB9X+gR4072BBxExqTy0JgK1JPFc9ya4OyiTPTweHMDEDcokL9ODA3Cz8kx4AAd3HKJbvy6s2/89+fo8Fs9+v3jd6q0reHTgrW/Nf2/eUp558ynUGjUFeQW8/8LSmg659pBrb8OmJki3mlFNkqS/ZVmusF9RkqTzsizfTt+2nDH1vn8aX63h9rVyotXJr/YOfbtdkfFKt3FhinUrkDvBxktpAOz2HW3lSKqvT+IGAPThteOZYNXhMEiZfvWhhkOtHEn1/RKtTNqhX/3vH4/u8Kgy1b+rk/Wfo1NdmTlK+ZX78UwrR1J9js8q993qf11i5Uiqz2GE0oBMf7ivlSOpPvd1ygx24xuOsHIk1bc2WpnBMnfZk1aOpPocZ30GwL11+1s5kur7K3YHmE+i9q+g/2FBjUxd5zBxUa38W1TVs3SrJzhady5OQRAEQRAEQRAsqxYPmasJVTWW3CRJeqiC5RJg3blFBUEQBEEQBEEQalBVjaU9wIOVrPvrDsciCIIgCIIgCEJtVosfIFsTbtlYkmV5qqUCEQRBEARBEAShlhPD8EpIknSrp57Ksix/f4fjEQRBEARBEARBqBWqGoYXXMnyoSjPXBKNJUEQBEEQBEG4W4iepRKyLM+6+X9JeTDDBOBF4CDKM5gEQRAEQRAEQRD+k6rqWUKSJA0wBZiL0kgaJcvy+RqOSxAEQRAEQRCE2uYueyhtVfcsPQU8C+wAQmRZvmaJoARBEARBEARBqH1kk5gNr7RlQBLQE+ihjMQDlOcsybIst6nB2ARBEARBEARBEKxGkm8xV7okSQ1vtbEsy9G38R13V/NTEARBEARBEG6PVHWS2iX3i2dr5NzecebHtfJvUdUED7fTGBIEQRAEQRAEQfjPqeqepSwq7hm6OQzP9Xa+5Af/if8gtNplYtwPAKzzn2DlSKrv4bg1AOz2HW3lSKqvT+IGAApTrlg5kuqz8QoE4IDfSCtHUn3d438G/lt52a8dZeVIqq9HwkYAvqj/7y+TZ15XyuRN2vFWjqT6hiesBeBHv39//TI2Xqlflv0H9rFZRfvYDt+xVo6k+von/gj8t87HzjUdYuVIqq/FxVBrh/DP3GUTPKhutVKWZRdZll0reLncbkNJEARBEARBEAShOiRJCpEk6bwkSZckSXqpkjRjJEk6K0nSGUmS1t6J761y6nBBEARBEARBEAQArDAbniRJauBTYABwAzgiSdJmWZbPlkrTFHgZ6CHLcpokST534rtFY0kQBEEQBEEQhNtjssowvM7AJVmWrwBIkrQeGAacLZXmceBTWZbTAGRZTroTX3zLYXiSJD1e1EpDUnwtSVKmJEknJUnqcCcCEARBEARBEATh7iZJ0nRJkiJLvaaXWl0XuF7q/Y2iZaU1A5pJkrRfkqSDkiSF3Im4qupZehb4puj/DwNtgACgPfAx0OtOBCEIgiAIgiAIwr9ADfUsybK8ElhZjY/QAE2BPkA94C9JklrLspxenbhu2bMEGGRZLiz6/wPAd7Isp8qyvB1wqs4XC4IgCIIgCIIg3IZYoH6p9/WKlpV2A9gsy3KhLMtXgQsojadqqaqxZJIkyU+SJHugP7C91DqH6n65IAiCIAiCIAj/IrJcM69bOwI0lSQpQJIkW2AcsLlMmk0ovUpIkuSFMiyv2s+WqWoY3qtAJKBGaamdKQqg9534ckEQBEEQBEEQ/kWsMMGDLMsGSZKeBsJR2iVfybJ8RpKkN4FIWZY3F60bKEnSWcAIzJNlObW6333LxpIsy1skSWoIuNycWaLIEZQWnSAIgiAIgiAIQo2SZTkUCC2z7NVS/5eB2UWvO6bKqcNlWTYAaaDMiAf0A8aj3MPkeyeDqUyntyZRt187DPp8Ip5fie7UtXJpPFo3ottHM9DY2xK78wSRC78vXtd82gCaTRmAbDQRu+MEx99eb4mwK9Thrcn492uLUV/AwedXkFZBXuq0bkTXj2aitrchbmcUxxZ+Z7b+nhlDaP/aBH5uNYMCXbaFIjfn0bcdTd6eiqRWEb9mBzHLNpmtl2w1tFg+C5c2gRSmZXF2+ofkXU8GwCmoAc3en4HG2QFZljk26CVM+YUVfY1FvPLOUv7afxiPOu5s+uGLcutlWWbxR1+wN+II9vZ2LFowh6DmTQD4LXQbK75V9qcZj4xj2JABFo29LPe+7Qh4cxqoVSSt3UHs8l/N1ku2Gpp+8gxObQIxpGVxYcZS8m8kI9loaPzeDJzaNgaTzNWFX5EZccZKuVD81/IS+NZUUKtIXLOD2OXlj5dmy2YV5SWb8zOWkn+9KC/vT8e5KC9XFn5N5gHr5gWgxxuTaFBUJu+avZKU09fKpen8wmiajeyJnZsTq+95rHi5ylZDv49m4t06gLy0LLY/uZysGykWjN5c67cn49u/HUZ9Acee/YKMCspktzYBdPh4Bmp7WxJ3nODUK0qZ7P9gF+6ZOxKXpv7sGbyQ9KirFo6+vPZvTcavv1LHHH6ukjqmTSM6F9Ux8TuiOF6mjmk+YwjtXp/Ary2tV8fc+8YkGhbtY9tnryS5gn2s6wujuadoH1tRah9r9/hgWo7rg8loRJ+axY65K8mKrfbF5X/Eo29bmr09BUmtIm7NTqKX/Wa2XrLV0HL5U8V15enpH5N3PRn7+t503buU3MtxAGQcvcj5F1ZZIwvlVOecrM2ch2gyvg95uiwATiz+ibidUZYMHwCnXh3xfWUGklpF+k/hpK7cYLbeIbgV2gXTsWseQOzzS8gK21+8zueFaTj3CQaVRM7+4yS+tcLS4VufFZ6zZE1V3bMEgCRJXSVJ+gSIBn4D/gLuqcnAbvLv1xaXAC2/9ZjDoRdW03nxlArTdV4ylUPzVvFbjzm4BGjx79sGAN/uLag3qCN/3DefLX1f4uznoRVubwl+RXnZ0mMOh19YTafFUytMF7xkGofnrWJLUV78+rYtXufo74G2d2tyrHhygUpF0yWPcnL8Ig73eh6fET1wbFbPLInf+H4Y0rM51HUWN1ZsIXDhRAAktYoWnz7DhXkrOdJ7NidGvIap0GiNXBQbPmQAXyx9u9L1eyOOEHMjjtAfV/P6C8/w1v8tByAjM4vPv17Lui8/Yt2XH/H512vJyMyyVNjlqVQEvvM4Zycs4kTv5/Aa3hOHMr+L78P9MWRkc7z708St3ELDVyYpyyfcB0BUv9mcHfsGjV5/BCTJ4lko9l/Ly+LHODN+EcfvfR7vERXkZXx/DOk5HOs2i7gVW2j0inK8+E5U8nKi7xzOjH2TgNcmWzcvQIO+bXEL0LKu1xz2vLiaXu9MqTDdtW3H+OXB18otbzGuD/npOazrNYeTq8LoMt96gxR8+7fDOVDL9m6zOTF3FW3fnVZhunbvTuPEnFVs7zYb50AtPv2UMjnz7+scnvYhqQf/tmTYlfLr1xaXQC2h3ecQOW81HZdUXMd0XDKNyLmrCO0+B5dALdp+JXWMg78Hvn2sW8c07NsW9wAt3/eaw84XV9Onkn3s6rZj/FTBPpZ8+ho/3r+QdQPncyn0MD0WPFzDEVdCJdF8yTROjF/MwV6z8R3RA6dm5jMd+4/vR2F6DhFdn+X6ilCaLBxfvE4fncjh/i9yuP+LtaahVN1zMoBzX4YROmABoQMWWKWhhEqF9vUnuf7Yq1wePBPXB3pj26S+WRJDXBJxLy4l4/fdZssd2rfAoUMQVx54iitDnsS+dTMcO7e2YPCCNVT1nKV3JEm6CCwCTqJMGZ4sy/K3ZYbl1Zj6gzpydeM+AFKOXcbWzQkHH3ezNA4+7ti4OJBy7DIAVzfuo35IJwCaTb6PM8t/x1RgACA/NdMSYVeo3qCOXNu4F4DUY5ewdXPEvkxe7IvyknrsEgDXNu6lXkjH4vXtX5/EibfXIVd9I1yNce3QBP3VBPKik5ALDSRt2o9X0d/7Jq+QYBJ+2gNA8u8HqdOzFQB1+rQl52w0OWejATCkZVvr4WbFOrVrjZurS6Xrd+07yNCQ/kiSRNtWLcjKyiY5Rcf+Q0fpFtweN1cX3Fxd6Bbcnv2HjlowcnPO7Zugv5ZAfkwicqGBlN/24TEo2CxNnZDOJP20G4DULRG49VIKeYdm9cjYfxqAwtRMDBk5Sm+GlfyX8uLSvgl5VxPIj1GOl+RN+8vlxWNQcHFeUrZE4NZTyYtjs3pk7CvKS0omhsxcnNtZLy8AjQZ25MLPSpmcdPwydq5OOJYpx26uy00qP1tro4EduFBUDl754zB1e7Ss2YBvQTuoIzE/KbGkHbuEjasjdmXyYufjjsbZgbSiMjnmp734FZV32RfjyL4cb9mgb6FuSEeubSipY2xcb6OO2VCmjnljEiffWnc7N1vXmMCBHTlXtI8l3mIfS6xkH4uNOIchrwCAhGOXcNJ61GzAlVDqysSiutJI4qYDeIWYH/veIZ2IL6ork0rVlbVVdc/JagOHNs0oiI6j8HoCFBrI/OMvXPp3M0tTGJtE/vlrIJc5P5FlJDsbJBsNkq0NkkaDIbVas1L/O8mmmnnVUlX1LD0GJAKfA98X3SRl0RLUQVuHnLiS7vOcOB0O2jrl0uTG6ypM49JYi0+X5oRseZ0BPy/As22gZQKvgIPWwywvuXE6HMvkxbFMXnLjdDgUFfR1B3VEn6Aj/WyMZQKuhJ3Wg/xS+ciP02Gn9TRP4+dBfqxyZVI2mjBk5WLj4YJjYz9kGdqsX0DHbe9S/6mhFo39n0hMTkXr41X83tfHi8TkFBKTU9D6eJcs91aWW4ud1oOC2JLvL4jXYVv2d9F6UBBXlMZowpiZi8bDhdyz0dQZ2AnUKuzq++DcpjG2db2wlv9SXmz9SsUJFMSnYufnUS5Nfqm8GLKUvOScuaY0rNQq7Br44NwmEDt/87+DpTlp65Bd6vjPjtfhVKYcq3p7pYyTjSYKsnKxr+N8x+O8HQ5+ddDHlZS3efE6HPzqlE8Tf+s0tYWD1oPcUr+NvpL85JbKc258SR3jX0vqmIr2Mef/YR8rreW43kTvtkLvBWCv9SDPrK5Mxa5MPpS6UklTuq4EcGjgTeftS+jw62u4d7HIYJ4qVfecDKD51AHcv/0dui59HFs3x5oPugyN1hNDfEmZXJiQgsb39spV/Ym/yT14kqYHfqDpgR/I2XuUgsvXq97wv8Yk18yrlqrqniU/YADKA2k/kiRpF+AgSZKm6F6mWk+lVmHr7kzYA6/j2S6QXiueZlPXO3rfl0WoHWwJmjWU3Q8vsXYo1SKp1bh1uYdjg17CqM+n7cbXyDp5hfS9p60d2l0tcd0OHJrWpW3Ye+TfSCYr8jwYa+9Vnlv5b+VlJ45N69E2/F3yb6SQGXke+V+aF6F2UzvYEvTMUPaM+3fXMaU1H9EDnzaB/Dy68mHWtVV+Yhr7OjyFIS0blzYBtPlmLgfvnYsxW2/t0KrlwrfbOfXhr8gytH1hFB1em8DB2V9aO6zbZtPAD7sm9bnYazIADb5ZhMPelugjrX8vqVBzqpoNzwiEAWGSJNmhTOrgAMRKkrRDluXxFW0nSdJ0YDrAihUr+F+vGzSbch9NJvQFIPXEFZz8PUkuWufk74E+wXwEoD4hDcdSV2pLp8mNT+N66JHiz5JNMnYeLuTrLHNvSdMpA2hcJi83r2c4+nuQWyYvuWXy4ujvgT5Bh3NDX5wbeBOyfbGy3M+DkPBFbB3yKnnJGRbJy035CTqzq9t2/h7kJ5jfPJsfr8Ourhf58ToktQqNiyOFuizy41PJiDhLYdHfX7f9GC6tA2t1Y8nX25OEpJKrUIlJKfh6e+Hr7cWR4ydLlienENy+TUUfYRH5CTqzHhRbPw8Kyv4uCTps/b0oiNeBWoXa1RFD0W9x7bVvitO12rwI/ZU4i8Rdkf9SXgrilThvsvXzJL/UVdebaexK5UXjUpKXq6Xy0vr3ReivWH7YV8tH7qPFw0o5lhx1BedSx7+znwcYDWXNAAAgAElEQVQ5Cbc/KjsnIQ1nfw9yEpSywdbFkbw0y00iEDB1AI2KyuS0E1dw8C8pb+39PNDHl6lf4tNw8Lt1GmtqMmUAgUX50UVdwbHUb+NQSX4cS+XZ0a+kjnFq4M2gHYuLtx24dRHbB1umjmn9yH20LNrHkirYx7L/h30MoH7PlnSaNZRfRi8qHoZvaXkJOuzN6kpP8svkQ6krPcvVlQCGAuW4yDp5Ff21RBwb+5EVZfmnttzJc7K8lJJbIS6t2UXf7+bUbPAVMCSkovErKZNttF4YEm9vAhCXgd3RnziPnJsHQM5fkTi0b3HXNZZkK98+YWm3NcEDgCzL+bIs/yzL8iigCUojqrK0K2VZ7iTLcqfp06f/z0Fd+GZ78c1/N8KOEjCqJwBeHRpTkJmLvswYZX1SOoVZerw6KGP5A0b15Hq4cu/I9bBIfHsEAeASqEVlq7FYQwng4jfbCBswn7AB84kNi6TRqF4AeHZoQmGmnrwyeckryotnB2W2tUajenEj/CgZf1/n1zZP8nuX5/i9y3PkxusIG7TA4g0lgKzjl3AI9MO+gQ+SjQaf4T1ICY80S5MSHol2TG8AvB/sSlrRfRe6XVE4tWiAysEWSa3CvXsQORduWDwP/4s+PbuyOWwHsiwTdfoczs5OeHt50KNLRw4cPkZGZhYZmVkcOHyMHl06Vv2BNST7xCUcAvywq6/8Ll7DeqIr87ukhR/BZ0wfADwf6FZ8P4zKwRaVgx0Abve2QTaa0Fvxd/kv5SXrhHK82BUdL97De6DbesQsjW5rZHFevB7oVnzPlcrBFpVjqbwYjFbJy5lvt7MxZAEbQxZwNfwozUYqZbJP+8YUZOVWeN9IZa5tO0azonIw8P7OxO0/WyMxV+bq19vYdd98dt03n/iwSBqMUWKp06EJhiw9+WXykp+UjiFbT52iMrnBmF4khFvv3sSyLn2zja0D5rN1wHxi/4yk0ehSdUzWbdQxo3sRG6bUMb+1fpItnZ9jS+fn0Mfr2DrQcnXMqW+3sz5kAetDFnAl/CgtivYx33+wj3m1bEjfJdPYMm0peivep5x1/DKOgVrsG3gj2ajxHd69wrrSr6iu9HmwK2n7lJNuG08XUCmTudg39MEh0A99dKJlM1DkTp6Tlb6/qf7gTqSft3x5pj91AdtG/tjU8wUbDa7330vWjoO3tW1hXDKOwa1ArQKNGsfg1hRctu6wVaHm3bJnSZIkq49Xi91xAv/+bRl24AMM+gIinl9ZvG7ItkWEDlgAwOGXv6H7R9NR29sStyuqeIaVy+v30G3pdB7YuRhToZEDz1pvise4HSfw69+OBw4sxagv4NDzJbGEbHuHsAHzAYh8+Wu6fKRMUxu/K4p4a8wWcwuy0cTFl1fTZv0CZerwdbvIPX+DRi+MJSvqMqnhkSSs3ck9y2fR5eAyCtOzOTvjQwAMGTnc+GILHcOWADKp24+j237MqvmZ99oSjhw/SXp6Jv2HT+TJRydhMChXIseOuJ97uwWzN+IIg8dMw8HenrfmPw+Am6sLM6Y8zLjHngVg5tTxt5woosYZTVyZv4qgdQuR1CoS1+9Ef+E69eeNIzvqEmlbI0lct4Omy56h/YHlGNKzuTBT+V1sPN0IWrcQWZYpiNdxadYn1svHfzQvLde9okyDvm4n+vM3aPDCWLJPXEa3NZLEtTtotvwZOkQsw5Cezfmi48XGy42W615BNskUJOi4aO28ADE7T9CgX1se3qeUybvnlJTJo8IWsTFEKZO7zh9Hk+Hd0TjYMvHwJ/y9bjeRH/7C3+v30O+jmTy89wPy07PZ9tRya2WFxO0n8O3fjgEHP8Sgz+f4cyVlct/t77DrPqVMjnrpKzp8PFOZOnxnFIk7TgDgN7gTbRY9gq2nK11/eIGM09FEWHGodHxRHXN/xFIM+gIOl6pjBm57h61FdczR0nXMztpXx1zbeYKG/doyed8HFOoL2FFqHxsXtoj1RftY9/njaD68OzYOtkw9/Aln1u3m8Ie/0HPBw9g42jP4i2cAyIpL5Y9pSy2eD9lo4vzLX9F+/XxQq4hft5uc8zcIfGE0mVFXSAk/StzaXQQtf5puBz+mMD2b0zM+BsC9awsCXxiDbDAim2TOv/AlhvQci+ehrOqek7V/ZRx1WjYEWSbnRgqHXvjK8pkwmkh443Pqf/W2MnX4xq0UXIrB69mJ5J26SPbOQ9i3bkq9zxaidnXGuW8XvJ+ZyJUhT5AVtg+nbm0I/OMzkCH7r6Nk7zxs+TxYWy2+v6gmSLeaVU2SpNJzcs4ASrc0ZFmW37yN75B/8J/4D8OrPSbG/QDAOv8JVo6k+h6OWwPAbt/RVo6k+vokKs9GKEyx/NCEO83GS5l85IDfSCtHUn3d438G/lt52a8dZeVIqq9HwkYAvqj/7y+TZ15XyuRN2gpHg/+rDE9YC8CPfv/++mVsvFK/LPsP7GOzivaxHb5jrRxJ9fVP/BGA/9L52LmmQ6wcSfW1uBgKYN3nQfwDOYsm10hryWnBd7Xyb1HVPUtv3Py/JEnDS78XBEEQBEEQBOEuU4un+a4JVc2GV9rd1ecmCIIgCIIgCIK5u2wY3m1P8CAIgiAIgiAIgnA3qWqCh1OU9Cg1kSTpZOn1sixbb55kQRAEQRAEQRAs6y6bOryqYXgPAb5A2ccT1wcSaiQiQRAEQRAEQRCEWqCqYXgfAhmyLEeXfgEZResEQRAEQRAEQbhbmOSaedVSVfUs+cqyfKrsQlmWT0mS1KhGIhIEQRAEQRAEoXa6y2bDq6pnyf0W6xzuZCCCIAiCIAiCIAi1SVWNpUhJkh4vu1CSpMeAozUTkiAIgiAIgiAItZIYhmfmOeBXSZImUNI46gTYAiNqMjBBEARBEARBEARrkmS56pacJEl9gVZFb8/Isrzzf/iO2ttUFARBEARBEATrkawdwP8q++WRNXJu77z451r5t6iqZwkAWZZ3AbtqOBZBEARBEARBEGqzWjxkribcVmOpujIfH2iJr6lRrl9uBaCzf28rR1J9h+P2AKAPX27lSKrPYdDTABzwG2nlSKqve/zPABSmXLFyJNVn4xUIwIxGo60cSfWtuLYBAP3m/7NyJNXnMHQuABrbulaOpPoMBbEA5H76tJUjqT7Hp5SyWP/dy1aOpPocJi8G4Pw9g60cSfU1//tPAEY3HGblSKpvQ/RvAOR+NMPKkVSf43MrABjSYIiVI6m+0JhQa4cg3AaLNJYEQRAEQRAEQfgPuMt6lqqaDU8QBEEQBEEQBOGuJHqWBEEQBEEQBEG4PeKhtIIgCIIgCIIgCILoWRIEQRAEQRAE4fbcZfcs/ePGkiRJGlmWDXcyGEEQBEEQBEEQai/5Lmss3XIYniRJv0uS1LCC5fcBJ2osKkEQBEEQBEEQBCurqmdpPbBLkqTVwHuAN/AR0BB4pIZjEwRBEARBEAShNhE9SyVkWV4DtAcaAOeACGA70FWW5aM1H54gCIIgCIIgCIJ13M49S0FAZ+Aw0AnwLdqusAbjKqZu2Qn7cU8gqVQU7A2jIOzHCtNpOvTE8YlXyX77KUzRF1G36ID9yEdBrQGjgbyNX2L82/ojB+e89Qzd+3UhT5/Pm88v5vypi+XSfL7xI7x8PcnPywdg1ri5pKWmM376GIaOvx+jwUh6ajpvzX6XhNhES2cBgP1no3nvl78wmWRGdAti2oBOZuvf/2UvRy7eACCvwIAuO5d97ypPDo/XZfHGuh0kpmcjActmDqWup6uls1DMvW87At6cBmoVSWt3ELv8V7P1kq2Gpp88g1ObQAxpWVyYsZT8G8lINhoavzcDp7aNwSRzdeFXZEacsVIuFK+8s5S/9h/Go447m374otx6WZZZ/NEX7I04gr29HYsWzCGoeRMAfgvdxopv1wMw45FxDBsywKKxV2Tsa1Np1bcDBfp8vpn7KdfPXC2X5plvF+Dq445arebikXOsW7ga2WTC0c2Zx5c/j2c9b1JvJPPlU0vJzcyxQi5g/9/XeW9zhHK8dG7OtH7tzNa/vzmCI5fiAMgrNKDLzmPfW48Ql5bF7G+3YTLJGEwmHu7RktHdgqyRBTMfLn2TwSH9yNXrefTR5zl+4rTZemdnJ3bvKjmO6tX1Y83aX5gz9zU+eP91evfpDoCjowM+3p54+VgnT/uvpfD+X+cxyTLDW9ZlWqeAcmm2Xkjgi0NXkCRo5uXC4pDWADy16RgnEzJo7+/OJ0PbWzr0cvZfTuC9rScxyTIj2jViWvfm5dKEn73Bir3nAGjm68aS4Z05ci2Z97edLE5zLTWLJSM606+5v8ViL8uxZ0d8F8wElYqMjWHovtxgtt6hUyt8Xp6BXfMA4uYsITt8X/E6rznTcO4dDEDq5+vI+vMvi8ZemamvP06Hvh3J1+fz6dyPuXr6Srk0C759DXefOqg1as4dPsvqhSswmUw0Cgrg8UVPYGtng9FoYtUrX3Apqvy5Q01TNWyJbe8xoFJhOL0PQ2S42Xp1UDdse45EzkkHoPDELoxn9gNg0/Mh1I1aKcsPh2K8EGnZ4Csx440ZBPcNJl+fz9I5S7l8+nKlaV9d/SraBlqeHPAkAJPmTKLrwK6YTCYyUjNYOmcpukSdpUK3LtPdNXX4LRtLRcPv2gNPyrIcIUmSE/AGECVJ0nOyLG+t0egkFQ7jnybnw5eQ01JwWrAMQ1QEpvgY83R2Dtj2H4HhyrniRXJ2BrnLFiJn6FD5N8LxuXfIfmF8jYZble79ulA/oB4je0ygVYcgXlw8m2kPPFFh2lefeptzJ8+bLTt/+iKPDJ5Ovj6fkZOHMWvhTBbMfMMSoZsxmkws3rCbL54ajq+7MxP+70d6twqksZ9HcZp5D/Uq/v+6PVH8fSO5+P0rP2zjsYGd6HZPA3LzC5AkyaLxm1GpCHzncc6MfZOC+FTa/Pkuuq1H0F+4UZzE9+H+GDKyOd79aTyH9aDhK5O4MHMpvhPuAyCq32xsPF1psfYVToa8CLL1uqeHDxnA+JFDmf/W/1W4fm/EEWJuxBH642pOnvmbt/5vOeu+/IiMzCw+/3otP67+BICxjz5Dn55dcXN1sWT4Zlr1aY9PgB8L+8wioH1TJix6nCXD55dLt/KppeRl6wGY8fkcOt7flcjfDxDyxHD+PnCK8M83MeiJ4YQ8OZxflqyxdDaU4+XX/XwxfQi+bk5M+GQTvVs2pLFvneI084Z2K/7/un2n+TsuFQBvF0e+e3oYtho1ufmFjPxgI72DGuLj5mTxfNw0OKQfTZsEcE9QT7p07sCnyxfTveeDZmmys3PoFDyw+P2hg3+yaVMoAHPmvV68/Kknp9KuXSuLxF2W0SSzZPfffD6iA77O9kz48RC9A7xp7OlcnCY6PYevIq/xzehgXO1t0OUWFK+b3LEheYUmfj59o6KPtyijSWZxWBRfjO+Jr6sDE77aRe+mfjT2LrkIFa3L5qsD5/lmcm9cHWzR5eQBENzIm58e7w9Ahr6ABz8Lp1ugj1XyAYBKhe+rT3Fj2nwKE1NouOFjsnceouBySb1fGJ9EwssfUGfaSLNNnXoHYx/UmGsjnkKytaH+d++R81ckppxcS+fCTPu+HfEL8GNW75k0bd+Mx99+gvnD55VLt/Sp99AXlWVzvniRrvf34MDve5n48iNs+Hg9J3Yfo33fjkx8+RFeH/eKZTMhSdj2fZj8Xz5Czk7D/uGXMV45iayLN0tmuBBJ4e71ZstUjVqh8q5P3pq3Qa3BbtQcjNdOQ0GeJXNQTqe+najbqC6P3fsYzds35+lFT/P8sOcrTNs9pDt5Oebxblyxke8/+B6AoVOHMv7Z8Syfv7zG464VxDA8M6eBYFmWIwBkWc6RZXkuMBZYWNPBqQOaY0qOQ05JAKOBwiN70LTrXi6d3fBHlB6nwpKKzHT9MnKG0sI3xV1DsrUFjU1Nh3xL9w7qSehG5UrM6WNncXFzxtPHo4qtShw9cJx8vdLbdOrYWXz8vGskzqqcjk6kvrc79bzcsNGoGdShGbtPlb9KdtOfRy8Q0rEZAJfjdRhNJrrd0wAARztbHGyt97s4t2+C/loC+TGJyIUGUn7bh8egYLM0dUI6k/TTbgBSt0Tg1ku5suzQrB4Z+5Ur6oWpmRgycnBu29ii8ZfVqV3rWzZwdu07yNCQ/kiSRNtWLcjKyiY5Rcf+Q0fpFtweN1cX3Fxd6Bbcnv2HrDvStu3AYA7+sgeAq8cv4uDihKu3e7l0NxtKKo0ajY0GisrwtgOCidi4G4CIjbtpO6CzReIu63RMMvW9XKnn6aocL+0as/tMdKXp/zxxmZB2yn5ko1Fjq1EDUGAwIluxIX7Tgw8O4vs1GwE4dPgYbu5uaLWVn1w3bRqIj7cXe/cdKrdu3Njh/PjjphqL9VZOJ2ZQ392Rem6O2KhVDGqqZfeVZLM0v56OZUyberjaK2WUh6Nt8bou9T1xslVbNObKnI7TUd/DiXp1nJS8BNVj9wXzk9hfjl9lbMdAXB2UPHg42Zf7nG3nYunRWIuDjfWeKmLfphmFMXEU3kiAQgNZoXtw7t/VLI0hNon8C9fKXZiybdwAfeRpMJqQ9fnkn7+KU6+OFoy+YsEDOrPn510AXDx+ASdXJ9x96pRLd7OhpC4uy5T8yTI4OjsC4OjiSFqS5XsvVNoA5Iwk5MwUMBkxXIhE3bjt7W3r6Y8x9qLyIFNDAXLKDdQNW9ZwxFXrOrArO37eAcD54+dxcnWiTgW/i72jPSMeH8G6ZevMlt/8vW6mqQ3ls1Azqrpn6UPAU5KkNyRJ2lj0egNIkmW51622vRMkdy9MupLKS05LRuXuaZZG1aAJqjreGE4drvRzNB16YYy+BAaLjByslI/Wi8S4pOL3SXHJ+GgrbvAs/PAlfti2imnPTa5w/dCHhxCxs/zJhyUkpeegdS+5+urr7kxSRnaFaeN0mcTpMuncrB4A0clpuDjYMXvVH4x9dx1LN+3DaMXuXDutBwWxKcXvC+J12Go9y6eJK0pjNGHMzEXj4ULu2WjqDOwEahV29X1wbtMY27pelgz/f5aYnIrWpyRGXx8vEpNTSExOQetTsi/6eivLrcnd1wNdUQ8LQHpCKnW0FV9ceOa7Bfzf0VXk5eRxNPQgAK7ebmQmK8NBMpPTcfV2q/mgK5CUWeZ4cXMiKaPi4YBxaVnE6bLo3KRkCFRCejajP/iZkEVrmdKnrVV7lQDq+mu5cT2u+H3sjXjq+msrTT92zFA2bNhcbnmDBnVp1Kg+O3ftr5E4q5KUnY+vs13xe19nO5Jz8s3SRKfnEpOey5QNh5n842H2X7PuMVGZpKw8tC4Oxe99XR1IytKbpYnWZROty+aRb3cz6etd7L+cUO5zws/eYHDLejUe761ofL0ojC+p9w0JKWh8PW+xRYmbjSPJ3g61uyuOXdqgsdJFxdI8tJ6kxpXsO6kJKXhUkqcF373OqmPfkZej52DoAQC+eXMVk+ZP4fOI1UxeMJU1735vkbhLk5zckbPSit/LWWlITuUvXmmadsB+wkJs75+O5Kw0PEzJ11E3aqlcsLZ3QlW/OZJL+UaJpXlpvUguta+lJKTgpS1fh0+aO4lfVv5SfLG6tMnzJvPtwW/pM7xPcS/TXcEk18yrlqpq6vAewJGit98VvQAOFa2zLknCfswM8jasrDSJyr8h9iMfRf/DxxYMrHpeffptxvefyvThs2jXpQ1DRg0yWx/y0ABatGnO95+vr+QTao/woxe5r10T1CplVzMaZY5fjmP28J6smTuW2NRMNh86V8Wn1E6J63ZQEJ9K27D3CHhzKlmR58F4d43jrS0+mbyIFzpPR2Or4Z7uFQ/r+jdc9Qs/cZn72gQUHy8AWndnNswZyeYXx/L70YukZll3SNH/asyYYayvoPdo7Jhh/PzLH5hq8dh3o0kmJj2XLx/qxOKQ1ry18yxZ+da96PZPGU0yMbpsVk28lyUjOvPmH8fJzCsZjZGcpedScgbdAn2tGGX15O4/RvaeSBqs+wC/D14k78Tf/7oyedHk15kePAWNrQ2tuiujGAZOHMw3b63miW6P8s2bq3nivVlWjrJixisn0X81n7w1b2GKOYftoCkAmGLOYbx6GvuxL2I3+DFM8VesOlz9fxEYFIhfQz8iwiMqXP/d+9/xSNdH2L1pNw9OebDCNMK/X1XD8D4Ahsuy/Josy5uLXq8Bw4GllW0kSdJ0SZIiJUmKXLmy8oZMVeT0FFQeJVeFpDremNJLrjRj74DKvxFOc9/HefF3qANb4Pj0m6gaNi1K74XDk6+h/+o95OT4sh9vEaOmDOeHbav4YdsqUpJ0+PqXDFfx8fcmKSG53DbJCcoVqNwcPeG/bieo/T3F64J7dWTqs5OYO2U+hQXWqbR93J1ISC/pSUpMz8bHzbnCtGHHLhDSoVnxe193Z5rX9aKelxsatYq+rQM5d73838BS8hN0Zr1Btn4eFCSklk/jX5RGrULt6ohBlwVGE9de+4aoAXP5e+q7qF0d0V+Jozbz9fYkIankCmdiUgq+3l74enuRkFTyOyQmK8strc+kQbwS+j6vhL5PRlIaHv4lV1/dtZ6kJVQ+/MSQX0jUtiO0HaAMo8xMzigetufq7U5WSmbNBl8JH9cyx0tGTqW9Q2EnrhDSrknFn+PmRBNtHY5dLd8jUNOemPkIkUe2EnlkK/EJidSrX9LzVbeeH7FxFcfUpk0QGo2GY8dPlVs3ZswwfvzxtxqLuSo+znYkZpdcKU7Mzsfbya5cmt6B3tioVdR1c6ChuxMx6bWvserjYk9CqZ6kxEw9PqV6mgB8XRzo3cxPyYu7Ew09nYnRleyXW8/F0reZPzbqqk4LapYhMQWbUr1BGq0XhsTUW2xhTrdiPdEjnubGowtAgoJrsTURZpUGTR7C+6Ef8n7oh6QlpeHpX1Keemq90N0iT4X5hRzZepjggV0A6DOyL4f+VE7WI/7YT5O2TWs2+ArIOelmvUGSS53iiRyK5eWA0QCA4fQ+VD4lj+k0HPmTvDVvk//rx4CEKc06k1M9MPkBlv25jGV/LkOXpMO71L7mpfUiJcG89/ieDvfQtE1Tvt7/Nf/38/9RN6AuS35cUu5zd/26ix6Drd+HYCmyLNfIq7aqqlR0lWX5eNmFsiyfACq9MUKW5ZWyLHeSZbnT9OnT/3FwxmvnUfnURfLSglqDTXBvDFGlWvf6XLJnjyb75clkvzwZ45Vz5C5/FVP0RXBwwnHWW+T/vBrj5bP/OIbq2vjNJiYOeIyJAx5jT9je4l6iVh2CyM7MIbXM2GO1Wo2bhzJcSK1R0/O+blz5W5kBrFmrprz87hzmTnmZtNQyhZQFtWzgS0xyOrGpGRQajIQfu0Dv1uVnkbqaqCNTn0/bgJIhOi0b+pClz0dXVLEfvniDwEqGVllC9olLOAT4YVffB8lGg9ewnujCzWfpSQs/gs+YPgB4PtCNjH3KfUoqB1tUDsrJldu9bZCNJrOJIWqjPj27sjlsB7IsE3X6HM7OTnh7edCjS0cOHD5GRmYWGZlZHDh8jB5dLD/Wf/f34bw9ZB5vD5nHia1H6PpQbwAC2jdFn5VbPKzuJjtH++IGkUqtonW/jiRcVk6OTm6PpNuoPgB0G9WHqG1HsIaW9b2JSckkVpepHC8nLtM7qEG5dFeT0pXjpWHJBZXE9GzyCpWTj8zcfI5fTaBRBfdt1bTPv/iWTsED6RQ8kM2bw5k0YRQAXTp3IDMjk4SEpAq3Gzd2WIX3JDVv3pg67m5EHLTejFgtfV2JSc8lNkNPodFE+MUE+gSaD9nqG+hD5A1l6FGavoDo9BzqujpU9HFW1dK/DjG6bGLTc5S8nL1B72Z+Zmn6NvcjMlo5EUzLzSc6NZt67iWN9rAz1xncsr5F465I3qkL2DT0x6auL9hocBnSm+ydB29vY5UKlbtyamLXrBF2zQLI2W+dey/Dvwtl3pDnmTfkeY5sPUjvkX0BaNq+GblZOaQnpZmlt3e0L76PSaVW0bFfJ2IvK/WJLklHUFelx7xVjzYkXLP8RTlTwjUkdx8kV09QqdE064TxcpR5IseSCUXUgW0x3Zz8QZLAXtnXJK+6qLzqYoq2znnZlu+2MGvwLGYNnkVEeAT9RyqTmzRv35ycrBzSyvwuoT+EMil4ElN7TGXuyLnEXo3lpbEvAeDfqOSiUdeBXblxuXbX/3fUXTYMr6q7OCVJkurIspxWZqEHVTe0qs9kIm/tchyfewdJUlGwPxxTXDR2QydjjL6AIaryAtS23zBUPnWxe3Aidg9OBCD3w5eRs6zXyNi/4yDd+3fllwNrydPn89bzJVcnfti2iokDHsPG1oZP1r6PRqNBrVZxeO9RNq3ZAsAzC2fi4OTA4pXKDHgJsUnMnVJ+drCaplGreGlUb574bDMmk4lhXYNo4ufJZ38cJKiBD31aBwIQdvQiIR2ams12p1apeH54T2Z8+iuyDC3qezOyuxVv9DSauDJ/FUHrFiKpVSSu34n+wnXqzxtHdtQl0rZGkrhuB02XPUP7A8sxpGdzYeaHANh4uhG0biGyLFMQr+PSrE+sl48i815bwpHjJ0lPz6T/8Ik8+egkDAblZHvsiPu5t1sweyOOMHjMNBzs7XlrvjLzj5urCzOmPMy4x54FYObU8VadCQ/g9K5jtO7bnrf3LKNAX8C38z4tXvdK6Pu8PWQeto52PLXqRTS2NkgqiQsRZ/hrjTJJZ9jnvzL909n0GNMPXWwyK5/60Cr50KhVvDS8O098+Scmk8ywzs1povXgs/BIgup506elcvU1rGhih9LHy5WkdJb+fghJUkatTO7dhqZ+1ru4ABD65w5CQvpx/tx+cvV6HntsdvG6yCP/z959R0dRvQ0c/85uOmmkh957C739JAFpUakCggIiTQSU3hEFEUFFBKUoKIiKWFAQqVKkRXrvvSSkE9I2bXfePzYkLCmgITv48nzO2XN25t7JPmyI9F8AACAASURBVDe7M3fu3Dt3tljMgvdi1xd4oWPvHH+jR/eO/PiTdr1KADY6HeMDK/PG2iPm76V6Mcp7OrPw70tU83ElsJwPTUt7EnIjhi4r96HXKYxoXgn3zAkSXvv5IFdjkzCkG2m7bBfTnq1G09La3LNoo9MxoW0dhqzaay5L7dJU8HZl4V9nqObvTmClYjQt50vIlUi6LNmKTlEY2aoG7k7miz2hcUmExxuop1H8FowmImcsosSy90Cn5+4vW0i7dAPP4b1JOXWBpB37cahRiWKfTUXv6oxzUCMyhr3CtRdeR7HRU+pb80ygpsRkbo/78IkYhndk+2ECguqzYNdi0gypfD5mQVbahxs+YWzwSOyd7Bm/dDK2mcey0yEn2fLtJgCWjP+cfu8MQKfXk56azpIJC61fCNVE2o4fsO/8Fig6Mk7vRY29jW3jFzBFXsd45QS2AS3Rl6sNJiNqSjJpW5abt9Xpceg2xvxn0lJI3fyVebIHjR3cfpAGQQ1YtnsZqYZUPhmTXUcs2LiA4e3zH+7Yb0I/ipcvjmpSiQyN5LOJT8lMeE8hJb9uL0VRBgEDgTHAkczV9YDZwFeqqi55hM9Q4we2eXiuJ5zrl+YTsIbFWmgcScEdCDPPMGbY/N/fsR3bDgNgn3/Xh+R88jW9/QsA6dF5zyz4X2HrZW4wDy7TTeNICm7JNfMzXgzrcp+O/b/EsYP5hMXGrrjGkRRcRpq5BzH582EaR1JwTkPNx2LDNxM1jqTgHPvMAuB8lfYaR1Jwlc9tBKBb6Y4aR1JwP103X5xInjdY40gKzmmE+dQzuFSwxpEU3IYbGwA0fH7KvxPfv3WhdAO5Ltv6RP4vHjYb3heYn6s0A7iW+ZoOvPeIDSUhhBBCCCGEKBBFUdopinJeUZRLiqJMyCdfV0VRVEVR6j+Oz33owxRUVV0PrH8cHyaEEEIIIYT471I1uL9IURQ98DnQGrgFHFQUZZ2qqmceyOcCvAU8tufr5NtYUhTl7XySVVVVZzyuQIQQQgghhBAiFw2BS6qqXgFQFOUHoCPw4GwhMzDfLjT2cX3wwyZpSMrlBdAfGP+4ghBCCCGEEEL8BxTSbHj3P3oo83X/lNrFgZv3Ld/KXJdFUZS6QElVVf94nMXNt2dJVdWP7wvgXrdWP+AHzM9gEkIIIYQQQjwtCmkyw8y5Ev7VA1oVRdFhfgbsq48zJniE6b8VRfFQFOU94ATmxlVdVVXHq6qa+4M1hBBCCCGEEOLxCQXufxhcicx197gANYCdiqJcAxoD6x7HJA8Pu2fpQ6AL5lZeTVVVE/PLL4QQQgghhPj/S4sJHoCDQEVFUcpibiS9BPTKiklV7wJZD4tTFGUnMEZV1QI//fxhPUujgWLAFCBMUZT4zFeCoijxBf1wIYQQQgghhMiPqqoZwDBgM3AW+FFV1dOKokxXFKVDYX72w+5ZeugwPSGEEEIIIcRTQpueJVRV3QBseGBdrjN3q6oa+Lg+96HPWRJCCCGEEEIIoNAmeHhSKapa6K1DbZqfQgghhBBCPNkUrQP4p+J6BBXKub376h1P5P9CepaEEEIIIYQQj0SjCR40Y5XG0uQyvR6e6Qk389r3AES1bqFxJAXnvfUvALqULtT74axizfV1AOzz76pxJAXX9PYvAAwu003jSApuybWfAEiPvqJxJAVn61UOgHFlemocScHNubYKgMs12mocScGVP7UZgCn/D+qX9zLrlzfKdNc4koJbeO1HAHqV7qxxJAX3/fVfAThSsqPGkRRc3ZtrASjnFaBxJAV3JfooAIbV72ocScE59pimdQjiEUjPkhBCCCGEEOLRPGX3LEljSQghhBBCCPFInrZheDI1uBBCCCGEEELkQnqWhBBCCCGEEI/mKRuGJz1LQgghhBBCCJEL6VkSQgghhBBCPBL1KetZksaSEEIIIYQQ4tE8ZY0lGYYnhBBCCCGEELmQniUhhBBCCCHEI5FhePdRFGV+fumqqr75eMPJ3XPT+lA5qA7phjR+GbOYsNPXLNJtHezoufAtPEr7YjKaOLftCFtm/wBAs/7B1H8pEFOGiaTYeNaM+4K40GhrhJ2Dbf2GOL8xHEWnw7DxDwyrv7dId3i+A44dOoPJiGowkPDJRxhvXEdxccX17enYVq5MypZNJH72qSbxP6j/OwOpG1SfVEMqn42Zx5VTV3LkmbriHYr6FEVno+fsgdN8OXUJJpOJMlXLMPj9N3BwciDyViTz3voYQ6JBg1KAe1Adyk5/DfQ6Ir/fRuhnv1qkK3Y2VJz/JkVqlSPjTgIXBs8l9VYUiq0N5ecMpkjt8mBSuTr1K+JDTmtShvv1mNaPGkF1STOksnzM59w8fTVHnjdXTMbVxx29Xs/Fg2dZNXUZqsmEk5szAz8biWcJb2JuRfHl0LkkxydpUAqY8v5cdu09gEdRd377dnGOdFVVmTVvMbtDDuLgYM/MyaOpVrkCAGs3bGXJCvMxYHDfl+gY3Nqqseemw7S+VMk8jv04ZhGhuRzHXlk4As/SPpiMKme3HWZj5nHsnhrtGtJn8UjmvzCZWydz7m/W4NisPl4TXkfR64n/ZSNxy360SHfr0wXXru1QjUaMsXeJmjqXjNuRAPgvnol9rSqkHD1N+NC3tQg/h+em9aHSffXL7Vy+l5fuq1/O31e/lGlYheC3e+NbpRQ/Dl/A6Y0HNChBtm7T+lE9KIB0QyrfjFmYY9+3dbBj4MJReGWW5eS2w6ydba6HPIp78cqcIbh4uJJ0N5HlIxYQFx6rRTEA6PNOf+oE1SPNkMriMQu4lkv9Mn7FVNx9iqK30XPuwFm+nvoFqsl8Ftfm1WDa9G6PyWTi6PbDrJr1jbWLAIBrYAAl3hkIeh0xq7YSsfAXi3TnRtUoMW0AjlXLcHXoR8Rt2AeAXXFvyn05EXQKio0NUcv/IPrbTVoUwcLb748j8NlmpBhSGDt8GqdPnMuRx9bWhndmT6Bxs/qYTCY+nvk5m9Zvo0GTukydOYYq1Sry1sCJbPz9Tw1KYLb3YhhzNhzGpKp0rlue156pbpH+4cbDHLwaAUBKupHYpBT2TOoGwLqjV/jyr1MADGxRgw4B5awbvLC6h/UsvQ6cAn4EwgCl0CN6QKXAOniV9WNu4ChKBlSgw8zXWNwpZyW7+8s/uBpyBr2tnte+m0ylwNpc2HmcsDPXWPjCFNJT0mj4yrO0ndiT1cMWWLsYoNPhMnwEceNHY4qOouhnS0gL2YvxxvWsLKnb/yRl/ToA7Jo0xfn1odydNA41PY2k5cuwKVsWmzJlrR97LuoG1cO/bDGGthhMpYDKDHpvCBM6jc2R76Ohs7MaQWMXT6DJc83Y+/tu3pg9nOUzv+LM/tO07P4snQZ3YdXH31m7GKDTUe79gZzuMZ202zHU2jib2C0HMVy4lZXFt2crMu4mcrTpMDw7NqP0lN5ceH0uvi8/C8DxlqOw9XSl6vdTONFuPKjaPaytRmAAPmX9mRo4nLIBFXl55kA+6DQpR74vhs4lJfN7GbxoNPWea8yh3/fRbkgnzu07yeZFv9F2SCfavdGJNR9o8L0AnYJb06trBybN+CjX9N0hB7lxK4wNq5dx4vQ5Znz0Gau+nMfd+AQWff09q5eZr/X06P8mgc0b4+bqYs3wLVTJPI7NCRxJqYAKdJ7Zn886Tc2Rb9eX67mceRwb9N0UKgfW5vzO4wDYF3Ggeb92XD960drhZ9Pp8J4ylLCBE8kIj6bE6gUk7fib9Cs3srKknr3MrR7DUVNSce3xPJ6jBxAx5n0A4r7+CcXBHtfuz2lVAguVAuvgWdaPTwJHUSKzflmSS/2y5776pd93k6kYWJuLO48TFxbNL2MW03zg8xpEb6l6YAA+Zf14J/BNygRU5KWZA/iw0+Qc+f788ncuhJxGb6vnre/eplpgHc7sPEaXSb3Zv2YX+3/5i0pNqtNxXC9WjPpMg5JAnaC6+JUtxqgWb1AhoBKvvTeYtzuNz5Fv/tCPsuqXEYvH0fi5poT8vodqTWpQv3VDJrQfSUZaBq6ebtYugplOR8n3BnOx1zTSb8dQef1H3N16gJSLN7OypIVGc33Up/gM7myxaXrkHc53GoealoHOyYGqf87n7tYDpEdo14ANfLY5ZcqVomXDjtSpV5MZH06iS9s+OfINHTWAmKhYWjXqhKIouBc1///Dbt1m3LBpDBiacxtrMppMzFp/iMV9W+Lr6sjLSzbTokoJyvtk/07Gtq+X9X7V3+c5d/sOAHeTU1my8yTfD26Hoij0XLyRwColcHW0s3o5NPWU9Sw97J4lf+ALoC3QG7AF1qqqukJV1RWFHRxA1Tb1OLpmNwA3j17CwcUJF293izzpKWlcDTkDgDHdSNjpa7j6eQBwNeQM6SlpmdtfxC1zvbXZVK6KMSwUU/htyMggZed27Jo2t8ijJidnvVccHOHeOXdKChmnT6KmpVkx4vw1bN2Inb/sAODC0fMUcS1CUZ+iOfLdq8j0NnpsbG2yGhL+ZYtxZr+5F+b47mM0bt/ESpFbcg6ogOFaOKk3IlDTM4heuwePtg0s8hRt15DIH3cCELM+BLf/1QTAsVIJ7u41X11Kj4kn424SzrXLWzX+B9Vu04C/1/wFwNWjF3F0KYLrA/sLkNVQ0mV9L5nbt25AyM87AQj5eSe1Wze0Sty5qV+nZr4NnB17/qZDu1YoikLtGlVJSEgkKjqWvfsP06RBAG6uLri5utCkQQB79x+2YuQ5VWtTjyOZx7EbRy/hmMdx7PJ9x7HQ01dx8/PMSm8zujs7F/9ORmq69QJ/gH3NyqTfCCPjVjhkZJC4cSdFWlruuykHj6OmpJrfHz+L3tcrK82w/ximZG16kHNTtU09jmV+L7cy6xfnR6hf7tUjcbeiiTh3E/UJGJNSq0199q/ZBcC1oxdxymXfT09J40Jm77cx3cjN01cpmvkb86tYggv7zMezCyGnqdW6vhWjt1SvdUN2Z9Yvl45ewMm1CO6PUL+omfXLs6+0Y93CNWSkZQAQH3PXSpFbKlKnIqnXwknLrF/urNuNWxvLY2rarUgM567nGNekpmegZsav2Nmi6LS/xfzZ9i349cf1ABw7fBJXNxe879u/73mxV0cWffoVYB4BcCc2DoDQm7c5d+YiJpO2+8upWzGU9HCmhIcztjZ62tYszc5zt/LMv/HkddrVLA3Avku3aVzeHzcne1wd7Whc3p+9F8OsFbrQSL57n6qqMaqqLlZVNQjoB7gDZxRF6W2V6ABX36LcDcu+khIfHourX86D5j0Ork5UaVWXy3tzDoeq3z2IC5lXaa1N5+WFMSoya9kUHYXeK+dBxqFDJzxWfE+RAa+TuPDJGG6XGw8/T6LDorKWY8Jj8PD1zDXv1G/e4esjKzEkGQjJHGJw8+INGrZpBEDT55rh5Z/zf2EN9n4epN03LDPtdix2fp4584Rl5jGaMMYnY+PhQvKZ6xRtUx/0OuxL+uBcqzx2xbUpxz3uvh7EhsVkLceFx1A0jwsEb34zmY8OLyUlKYXDG/4GwNXbjfgoc8UWHxWHq7dGV2QfQURUDH4+2f9vXx8vIqKiiYiKxs/HO3u9t3m9ltx8PYiz+F5i871w4+DqRNVWdbmU2RgvXr0M7v4enNtxtNBjzY+NjycZ4dn7fUZENDY+ef/mXbu0I3n3QWuE9q+4PMb6RWvuvh7cCcv+nd8Jj8E9n9+Yo6sTNVvV49zekwCEnr1OnXbmE/k6bRvi6OJEEXfnwg06D0X9PC2OY7HhMRT1zb0sE755m8VHlmNIMrB/QwgAfmWLUblhNab/Npupq9+jXK0KVon7QbZ+ntl1B5B+OwZbv9zryVy39/ei6pZPqXlgGeGL1mjaqwTg5+/D7dDwrOXwsAj8/H0s8ri4mn8zoyYOZd327/ls2Ry8vLW5SJ2XyAQDfm5FspZ9XZ2IjE/ONW9YXBJhdxJpWM7XvG28AT9Xp/u2dSQy/sm5AGQtqqlwXk+qR7pUoShKXeAt4BVgI6DtZdo86PQ6eswfRsjyTdy5GWmRVrtTM4rVKsvuL9ZrFN2jSVn3G7F9e5G0dAlOvbTtqn5cZvR5h/4N+mJrZ0vNprUA+HzsfNr1DubD9XNxLOJIRnqGxlH+cxGrtpF2O4bam+ZQdno/Eg6dB+MTvLc/YH6fmYxrOAgbOxuqNK2Rax5VwyGFTyudXkev+cPZu3wzsTcjURSF56f2Zv3Mb7UO7R9xfr4l9tUrEvf1z1qH8ljo9Dq651G//Nfo9Dpem/8WO5ZvJCazLGtmrqRio2pM/GM2FRtX487tGM17AB7FB32m80aD17C1s6V6U3Ovv95Gj7O7M293Gs/376/gzYVjNI7y30m/Hc3ZNm9x+n+v4/liEDZeT+7Fq3tsbGwoVtyPIweO06FlL44eOsHEd0dqHda/tvnkdZ6tXgr9E9Cz9yR52hpLD5vgYTrwHHAW+AGYqKrqQ89qFUUZBAwCWLJkyT8OqlHv1jToGQTAreNXcCuWfVXC1c+D+PA7uW7XadYAoq+Gs+8ry5sgyzerQeCwTiztMQNjmjYn5aboaPTe2VdgdF7eGKPzvtqdunMbzm+NhA+tEd2jadcnmNYvtQHg0omLeBXzxvzTAE8/T2IjYvLcNj01nYNb9tOgTSOO7zlG6OVQpveeBpiH5NVrqc2Qj9TwWIveIDt/D9LCY3LmKeZF2u1Y0OvQuzqREZsAwLVpy7Py1Vg3E8MV63fHB/ZuS/Oe5vunrh2/hEcxTy5nprn7eXInn5u0M1LTOb71ILVbN+DsnhPER93F1ds9s1fJnYToeCuU4N/x9fYkPDJ7H4qIjMbX2wtfby8OHj2RvT4qmgYBtaweX5PerWnUsyUAN49fwb1Y9hVldz8P7ubxvXSdNZDoq+Hs+WojAPbODvhVKsngH8z30rh4u/Hq0jEsH/CR1Sd5yIiMwcYvu9fOxteLjMicxzHHxgEUHdSTsFfHQLp2wwZz06h3a+pn1i+h/6B+6ThrADFXwwn5Svub7O95pndbmvVsBcD145cpWswLOA+Ye2fymqCh16zBRF4NZ8dXG7LW3Y28wxevfwyAvZM9ddo1wpDH1fbC0LpPe4JeMk/EcuWE+Th2j4efJ3fy6VVJT03n8JYD1G/TkFN7jhN7O5qDm8y95ZePX0Q1qbh4uJIQa93jWXp4DHbFsusXW39P0sPzrifz/DsRsRjO38C5YfWsCSCspfdr3enRuwsAJ46dxr+4X1aaXzFfwm9bXji4ExtHcpKBTeu3AbBh7Va6vdzJegE/Ah8XR8LvZk9cFBGfjM99vUX323TyOhOfzz4/8XF15NC17DJHxBuoX8Ynt03F/yMPaypPwTz0rjYwCziiKMoJRVFOKopyIq+NVFX9QlXV+qqq1h80aNA/Dmr/yq18FjyJz4IncXbLIQK6/A+AkgEVSE0wkJA5TOh+z47uhr2LExumr7RY71+9NB3f78+3Az4mKUa7E7+M8+fQFy+Bzs8PbGxwCGxJWsheizz64sWz3ts1aoIxNO8xtFrY9M0GRgePYHTwCA5s2U9gV/MJR6WAyiQnJHMn0vIkw8HJIes+Jp1eR72W9Qm9bC6TW+YNt4qi0G14dzZ/p80JSOKxSziW9ce+pA+KrQ1eHZsTu/mQRZ47mw/i0z0QAM/nm3B3j3lolM7RDp2jPQBuz9RCNZosJoawlp0rN/Ne8FjeCx7LsS0HadylBQBlAypiSEjOGlZ3j72TQ9a9DDq9jpot6xF+ORSAE38eosmLgQA0eTGQ41uf3CFUgc0bs27TNlRV5fipszg7F8Hby4Nmjeqx78AR7sYncDc+gX0HjtCsUb2H/8HHLGTlVuYFT2Re8ERObzlE3czjWKmAChgSknM9jrUd3R0HF0d+n549c1dKgoF36w7ig+Zv8kHzN7lx9JImDSWA1FPnsS1VHJvivmBjg3P7QJJ2/G2Rx65KebynvUn4sGkYY7W5VyQ/+1du5fPgSXwePIkzWw5RJ/N7KZFZvyTmUb845FK/aG3Xys3MCh7HrOBxnNhygEZdngGgTB77PsALo3vg6OLEz9OXW6wvUtQFRTHP4dT2jc6E/Lij0OO/39ZvNjIpeBSTgkdxaMt+/pdZv1QIqIQhIZm4B+oXeyeHrPuYdHoddVrWIyyzfjm05QDVmph7mfzKFsPG1sbqDSWApOMXsS/jj11m/VK0w/+4u/XRZky09fNEcTBPGqB3K4Jzg6qkXAktzHBztfKrH3k+6CWeD3qJrRt20Lm7eTKTOvVqkhCfSFREzosl27bsonFzcwOj6TMNuXRem5k781K9uCc3YhMIvZNIeoaRzSev06JK8Rz5rkbdJT4ljdolsxu8TSv4E3LpNvGGNOINaYRcuk3TCv7WDP+JID1LljSfeu38jmNUCqrDqL8+Id2Qypqx2T1Vwza8z2fBk3D18yBoeGciL4Uy9I+ZAPy9YguHVu+k3cSXsXdyoOdC8yzncaExfDvwY+sXxGQk8bN5uM36CEWnI2XzBozXr+HU9zUyLpwjLWQfDh27YBdQD4wZmBISSZgzK2tzj5U/oDgVQbG1wa5pc+5OGGMxk561Hd5+iLpB9Vi4a0nm1OHZs8x/vGEeo4NHYO/kwMSlU7Cxs0WnUzgVcpLN35qvljfv8Azt+wQD8PemELb/qNEUokYTVyYtpdqqqSh6HRE/bMdw4SYlx75E4vFL3NlyiIhV26i44E0C9n1GRlwiF17/BABbTzeqrZqKqqqk3Y7l0vB8Z9q3ilM7jlAzKID3/lpAmiGNFWM/z0qbsuFD3gsei52TPUOXjsfGzhZFp3Ah5DS7vtsCwKZFvzLo81E0696S2NAovhj6iVZFYey0Dzh49ARxcfG06vQKb/TvTUaGuWe4R+fneKZJA3aHHKR999dwdHBgxiTzUA83VxcGv9qTlwa8BcDr/XppOhMewLkdR6kSVIfxf80jzZDKT/cdx0ZsmMW84Im4+XnQanhnIi6F8tYf5tnj9q3YwoHV1j1pzZfRRPT7n+O/5H0UvY74X7eQfvk6RYf2IfX0BZJ3/o3n6IEoTo74zp0CQMbtSMKHvwNAsRUfY1e2BIqTI6X//JbItz/BsE+7Ud0X7qtf0h6oX4ZueJ/PM+uXwMz65Y376pfDq3dSvFY5ei0ZiaNbEaq0qkvLkS+yoM04TcpyasdRqgfV5d2/5pNmSGPl2IVZaRM3zGFW8Djc/TxoP7wr4ZduMeGP2QD8tWIT+1Zvp1LjanQc1wtVVbl04Cyr316mSTkAjm0/TJ2genyyaxGphlSWjMmewfb9DXOZFDwKeyd7Ri+diG3m5AdnQk7y57ebAdj54zYGfziM2Vs+JSM9nUWjNTo2G03cnPoFFb59B0WvI2b1NlIu3MR/dC+ST1zi7tYDONWuQLkvJ6J3c8bt2Qb4j+rJ2WeH41CxBCWmvoaqqiiKQsSS30g5p12dD7Bj6x4Cn23OjoPrSDGkMO7Nd7LS1u/4geeDXgJg9rufMnfRe0x9bwyxMXcYl7n/1wqoxqIVc3Fzc6VV22d4a/zrtGv+otXLYaPXMeG5+gz5Zgcmk0rHuuWo4OPOwm0nqFbcg8AqJQBzr1K7GqWzLiIAuDnZMyiwBi8vMV/gHRRYAzcne6uXQViX8m/uSVAURQf0VFX1UeYUVieX6fWPP+NJM/Oa+VkUUa1baBxJwXlvNc+W1qV0B40jKbg1181Tre/z76pxJAXX9Lb5+RuDy3TTOJKCW3LtJwDSo5+sK4r/hq2X+Rka48r01DiSgptzbRUAl2u01TiSgit/ynxiPOX/Qf3yXmb98kaZ7hpHUnALr5mfu9WrdOeH5HzyfX/d/My9IyU7ahxJwdW9uRaAcl4BGkdScFeizRPdGFa/q3EkBefYYxpo8FiegooIDCyUG5p9d+58Iv8X+Q7DUxTFVVGUiYqifKYoShvFbDhwBfjvH9WFEEIIIYQQj0yG4VlaCdwBQoABwCTMLeBOqqoeK+TYhBBCCCGEEEIzD2sslVNVtSaAoihLgdtAKVVVUwo9MiGEEEIIIcQTRTU9kaPlCs3DZsPLmvNVVVUjcEsaSkIIIYQQQoinwcN6lmorinJvvk0FcMxcVgBVVVXXQo1OCCGEEEII8cR4ku8vKgz5NpZUVdVbKxAhhBBCCCHEk01VZRieEEIIIYQQQjz1HjYMTwghhBBCCCGAp28YnvQsCSGEEEIIIUQupGdJCCGEEEII8UietqnDFVVVC/szCv0DhBBCCCGE+A/6z7U8bjZoVSjn9iUPbnsi/xfSsySEEEIIIYR4JIXfz/JksUpjKbZzC2t8TKHy+PUvAKr7NtI4koI7HbEfAMOyMRpHUnCO/T8CYK/fixpHUnDNwn8GwLDuI40jKTjHDubf1rgyPTWOpODmXFsFQHr0FY0jKThbr3IA2DuU1DiSgktNuQlAwpvPaxxJwbnMXw9A0uRuGkdScEVm/gRAaJOWGkdScMVDtgPwZpkeGkdScPOvrQYgecEbGkdScE7DFwLQrXRHjSMpuJ+ur9U6hH/laRuGJxM8CCGEEEIIIUQuZBieEEIIIYQQ4pFIz5IQQgghhBBCCOlZEkIIIYQQQjwameBBCCGEEEIIIXIhw/AyKYrimk9aqcIJRwghhBBCCCEsKYrSTlGU84qiXFIUZUIu6aMURTmjKMoJRVG2KYpS+nF8bn73LO2878O3PZD22+P4cCGEEEIIIcR/h6oqhfLKj6IoeuBzoD1QDeipKEq1B7IdBeqrqloL+BmY8zjKm19j6f6oPfJJE0IIIYQQQojC0hC4pKrqFVVV04AfAIuHbamqukNV1eTMxb+BEo/jg/O7Z0nN431uy0IIIYQQQoj/51STJh9bHLh53/ItoFE++fsDGx/HB+fXWPJRFGUU5l6ke+/JXPZ+HB/+KGwDGuLUfzjodKT++Qcpa763SLdv2wH79p3BZERNMZC08CNMt66jMXRnygAAIABJREFU8/bDbcE3GMNuAJBx4QzJi+daK+w8TZw5imdaNcVgSGHymzM4e/J8jjxfr1mIt68XqSmpAAzs8Sax0XcYP30EDZvVA8DB0QEPr6I0qfSsVeO/Z++VSOZsO4VJVelcqxSvNa6YI8/mc2Es2WsuXyUfNz54oW5WWmJqOl2W7SSooh8TW9e0Wty5cQ+qQ7kZ/UCvI+K7bYR+ZjnKVLGzodKC4RSpVY6MO4mcHzyX1JtRKLY2lP9wEM61y4NJ5crUr4nfd1qjUpjtPXeTOetCMJlUOjeszGst61ikf7guhIOXwgBISc8gNjGFPTP6EnYngVErtmIyqWSYTPRsVp1uTR7s3ba+DtP6UiWoDumGNH4cs4jQ09cs0m0d7Hhl4Qg8S/tgMqqc3XaYjbN/sMhTo11D+iweyfwXJnPr5BUrRp9tyvtz2bX3AB5F3fnt28U50lVVZda8xewOOYiDgz0zJ4+mWuUKAKzdsJUlK8xlGtz3JToGt7Zq7LmZ+/G7tGvXkuRkAwMGjuLYsVMW6c7ORdi+7Zes5eLF/Vm1ag1jxr5L797dmPX+ZMLCwgFYtHg5X39t+Z1Zi75qXRy6DAKdjvSQLaT9+XOu+WxqN8Wx/ySSPhyB6eYlAHTFyuDQYxg4OIKqkvzRSMhIt2b4FvQV62D3XD/Q6cg4tI30XZbHMZuAQOza98YUHwtAxt8byTi0HQD7vpPRl6yI8fo5Uld+YPXYH2TfuAFuI4ah6HUkrdtA4spVFunOL72IU4dgMBoxxt0lbuaHGMMjAND7+uA+cQx6X29QVWJGTcxK00rXaa9SLSiANEMq341ZxK3TVy3SbR3seG3hSLxK+2Iymji17TC/zzaXufPUPlRsUh0AOwc7nL3cmFDrNauXAWDv9Rg+3H0Bk6rSqVoxXqtXJkeeLRcjWHzgCoqiUMnTmVltawCw7uxtlh4yl3tA/bJ0qOpvzdDz1O+dgdQNqkeqIZXPx3zK1VM564jJK6bh7lMUvY2eswfOsGzqEkwmE2WqlWXgzCHY2dtiNJpYOmUxl45f1KAU1md6yJC5f0tRlEHAoPtWfaGq6hf/4u+8AtQHWjyOuPJrLH0JuOTyHmDp4/jwh9LpcBo0goR3RmOKicJ1zhLSDuzFdOt6VpbUXX+SunkdALYNmuLUbyiJM8YBYIwIJX7UAKuE+ij+16oppcuWpH3jF6lVrwZvzxlHz/b9c807/o23OX38nMW62W/Py3rfq383qtasXKjx5sVoUpn150kWd2+Mr4sjL3+zmxYV/Cjvlf0TuR6byFd/X2T5y81wdbAjNinV4m98vuc8dUt6Wjv0nHQ6ys0awOnu00m7HUvtTR8Qu+UQhgu3srL49mpFRlwSR5oMx6tjM8pMeYXzgz/B9xVzQ/VY0GhsvVyp9t1kjreboNmcmkaTiVm/7mXxoGB83Yrw8vzfaFG9NOV9i2blGduhSdb7VXtOcS4sBgBvFye+GdYROxs9yanpdP34Z1pUK42PWxGrl+OeKoF18Crrx5zAkZQKqEDnmf35rNPUHPl2fbmeyyFn0NvqGfTdFCoH1ub8zuMA2BdxoHm/dlw/qm0F1im4Nb26dmDSjI9yTd8dcpAbt8LYsHoZJ06fY8ZHn7Hqy3ncjU9g0dffs3rZfAB69H+TwOaNcXN1yfXvWEO7tkFUqFCWatX/R8OGASyY/z7/e6aDRZ7ExCQaNmqXtRyy7w9+W7spa/nnn39nxMic36VVKTocug0h+fMpqHExOI35hIxT+zGF37TMZ++IbYsOGK/ddzzW6XDoPZqUlXMxhV0FJxcwGq0b//0UHXYv9Cfl6xmo8bE4DJlFxtlDqFG3LLJlnNxH2u/LcmyevnstGXb22DTQviGOTof76LeIfmssxsgofL5aRMrufWRcy6730y5cIqnfENTUVIp07oDr0EHcmToDgKJvTyBh+XekHjyM4ugAJm0HwlQLrIN3WT9mBL5FmYCKdJ/Zn7mdpuTIt/3L9VwMOY3eVs+w76ZSNbAOZ3ce49cZ32TleaZvO0pUL2PF6LMZTSof/HWeRR0D8HW25+UfD9KirBflPZyz8lyPS+arw9dY3rU+rg62xCanAXA3JZ0vDl7hu+4NUYBePx4gsKwXrg62mpTlnoCgeviX9Wd4i9epGFCJge8NYVKnsTnyzR06B0OiAYDRi8fT+Llm7Pt9N69M7MtPn/7AsZ1HCAiqxysT+/LOSzm/W/HoMhtGeTWOQoGS9y2XyFxnQVGUZ4HJQAtVVVMfTP838rxnSVXVd/N7PY4PfxibilUx3Q7FFHEbMjJI27Mdu4bNLTMZkrPeKvaO1gjrX2vZ7hnW/WTuETxx+BQuri54+fy7BkNw5zZsWLPlcYb3yE7dvkNJ9yKUcC+CrV5H26rF2Hkp3CLPmhM36BFQBlcHOwA8ithnpZ0JjyM2KZUmZazWQZknl4AKpFwNJ/VGJGp6BlG/7cWjbQOLPB5tGxD5404AoteH4Nbc3BPmVKkEd/eYr6inR8eTEZ+Mc53yVo3/fqduRFHSy5USnq7Y2uhpW6c8O09fzzP/xmOXaZcZr62NHjsbPQBpGUbUJ+AhCtXa1OPImt0A3Dh6CUcXJ1y83S3ypKekcTnkDADGdCOhp6/i5pe9T7UZ3Z2di38nI1W7K/4A9evUzLeBs2PP33Ro1wpFUahdoyoJCYlERceyd/9hmjQIwM3VBTdXF5o0CGDv/sNWjDynF15ow7ffmXuNDhw4iru7K35+Pnnmr1ihLN4+XuzZs99aIT4SXelKmKJuo8ZEgDGDjCO7sKnZOEc+++deIe3Pn1HTs39D+ip1MYVdMzeUAJITNBuXAqArUQFTbDjqnUgwZmA8sRebqvUfeXvTlVOoqYZCjPDR2VWrQsatUIxh5no/+c/tODzT1CJP2pFjqKnmc6C002fQ+5jrEpsypUGvJ/WgeR9RDSlZ+bRSs00DDqzZBcC1oxdxdCmCay7HsYsh5lEJxnQjN09fxd3vwVvFoV6Hphxet7fwg87FqYh4Sro5UsLN0VzvV/Rl55Voizy/ng6le80SWY0gDydz/b/vRgyNS3rg5mCLq4MtjUt6sPdGjNXL8KAGrRvy1y87ALh49AJFXIvg7lM0R757DSW9jR4bW5usC6KqCk7OTgA4uThxJzLWSpFrT4sJHoCDQEVFUcoqimIHvASsuz+DoigBwBKgg6qqkY+rvPlNHV5dUZQO9y1/oijKV5mvunlt9zgpHl4Yo7PLaoqJQufplSOffftOuC36Hse+r5O89NOs9Xoff1w/XorLe59iU7WWNULOl4+/N+Gh2cMBIm5H4uufe4PhvU+n8su2lbw+Mmd3u38JP0qUKsb+PYcKLdb8RCam4OeS3TD1dXEgMiHFIs/12ESu30mi73d76L1yN3uvmL9Hk6ry8Y4zjArSfogXgJ2/B2lh2Qf8tNsx2Pt75MiTei+P0URGQjI2Hi4knb5mbljpddiX8sG5Vjnsi2nXWxYZn4Sfe/ZVPl+3IkTeTco1b9idBMJiE2hYoVjWuvC4RLp9/AvtZn7Pq4G1Ne1VAnDz9SAuLLtCjQuPxS2XE4h7HFydqNqqLpf2mhuwxauXwd3fg3M7jhZ6rAUVERWDn0/2sc3Xx4uIqGgioqLx88k+Rvh6m9drqVgxP27dCstaDg29TbFifnnm79a9Az//9LvFuk6d2nPo4BZWfb+YEiW0GY6jc/fEFBeVtWyKi0Zxs9x/dSXKo7h7YTxjeazV+RQDVByHTMdp7DzsWnW1Rsh5Ulw9UO9m7ytqfGyOsgDoqzfCcfhH2PccnWv6k0Dn7YUxMrveN0ZGo/fO+8Ka0wvBpIYcAMCmVAnUxEQ8Zr2L94oluA4bDLr85rEqfG6+RR84jsXkexxzdHWiRqt6XNhrObS1aHEvPEr6cGHfqTy2LFyRSSn4ujhkLfs62xP1wIiR63HJ3IhL5tWfD9Hnp4PsvW4ud1RiKr7O2dv6ODsQlahtIxbAw8+TmPvq/5jwaDx8c98vJn/zDkuPfENKkoG/N+wDYPn0pfSe9CqLQpbRZ3I/vpu90ipxP61UVc0AhgGbgbPAj6qqnlYUZfp97ZUPAWfgJ0VRjimKsi6PP/eP5HcU+QC4v1ZuC/wB7ADefhwf/rikbvyNu0N6YfhmCY7d+gBguhND3KDuxI8eQPJXn1Nk1FRwdNI40kcz/o1pdA58md4dBlO3cR06dGtvkR7cqTVb1m/HZNLuSubDGE0qN+4ksfSlpnzwQj2mbz5OfEo6Px69RvNyPvi6PNm9gI8iYtV20sJiqL15NmWn9yP+0HlU45P7ndxv87HLPFurLPr7TiT83J35aXRX1o3vwe+HLxKTkJzPX3iy6PQ6es0fzt7lm4m9GYmiKDw/tTfrZ36rdWhPve7dOrD6x7VZy3/8sZVKlZtSv0Ebtm3fzdKln2gYXT4UBfvOA0j9LeewNXR69OWqkfLNRyTPG49NrSboK9W2foz/QMa5Qxg+fAPDgjEYLx3HvuswrUMqMMe2z2JXpRIJ3602r9Drsatdk7sLFhP12hBsivnj9FxbbYP8B3R6HX3nv8mu5ZuIuWl5UbzeC005tmE/qsbDCvNjNKncuGvgy851mdW2BjN2nCVB4179x2Vmn3cY1OBVbOxsqdHUPLqkzSvtWT5jGUOa9Gf59GUMmTNc4yitRzUphfJ66Oeq6gZVVSupqlpeVdWZmeveVlV1Xeb7Z1VV9VVVtU7mq0P+f/HR5NdY8ldVdd99y/Gqqv6iqupKIGf3zn0URRmkKMohRVEOffHFP74vK4saG43eK3t4h87TG1NM3ldV0/Zsw/beML2MdNSEeACMVy5gCg9FX6xkntsWlp79XuSXbSv5ZdtKoiOi8Svum5Xm6+9DxO2oHNtEhpvXJScls2HNZmoGVLdIb9+ptWZD8MB8VSg8IXvIRkRCCj73XXEC8HVxpEUFX2z1Ooq7O1G6qDM37iRxPPQOq49cpf3iP/lk52nWn77Fp3+dtXYRsqTdjsWuWPbP2c7fk9TbsTny2N/Lo9dh4+JERmwCGE1cnbac48+O5dyrs7FxLYLhym1rhm/Bx7UI4XGJWcsRd5Py7B3adOwK7epUyP3vuBWhgl9RjlwNzzW9MDXp3ZoRG2YxYsMs4iPjcL+vp87dz4O74bkPc+g6ayDRV8PZ85V5mKu9swN+lUoy+Ie3mbBnPqUCKvDq0jGUqFnOKuX4p3y9PQmPzD62RURG4+vtha+3F+GR2ceIiCjzemt7fXBfDuzfxIH9m7gdHkmJEtk9ksWL+2dN1vCgmjWrYmNjw9GjJ7PWxcbGkZZmvpfhq69WUTdAmwleTHEx6Nyzeyx07l4WvTPYO6LzL4XT8FkUmbYMfZnKOA6aiq5kBdS4GIyXTqMmxUN6KhlnDqErod0Q3Ad7kh7saQLAkAjGDAAyDm1HV/zJ3BdMUdHofbLrfb2PF8aonPWkfYO6uLz6MjHjpkDmEEljZBTpFy+bh/AZTRh27cW2cs7Jhwrb/3q3YdyG2YzbMDuX45hnnsexl2YNIupqODu/2pAjre4LTTmi0RA8AJ8iDkTcN4IkIjEV7/uG14P53KBFGS9zve/qSGl3J27EGfB2ticiMXvbyMQUvJ0tt7WWtn2C+XDDJ3y44RPuRN7B877639PPi9iIvIcHpqemc3DLARq0MU/AFtg1iP0bQwAI+WMvFWpb/7cmrCO/xpLFAHtVVe8fzJ33AHVz3i9UVa2vqmr9QYMG5Zc1XxkXz6HzL4HOxw9sbLBr3pL0g5YHC51/8az3tvWaYLptvqFVcXXL6n7X+fqj9y+BKSIMa1v19c90bdWbrq16s23jrqxeolr1apCYkEh0pOWOqdfrcfdwA8DGRk+L1s25eO5yVnrZCqVxdXPh2KGTaKW6vzs37iQRGpdMutHE5rNhtKhgOQwnqKIfhzLHJN9JTuX6nURKuDsx64W6bBrSmo2vP8vIwOo8X70Eb7WoqkUxAEg4dgnHcv7Yl/JBsbXBu1MzYrcctMgTu+UQPt0DAfB6vgl3M4dH6Bzt0DmZD/huz9RCzTBaTAxhbdVLenMjOp7Q2HjSM4xsPnaZFtVK5ch3NTKOeEMqtUtn78YRcYmkpJtPpOKTUzl6NZwyD4yrt4aQlVuZFzyRecETOb3lEHW7/A+AUgEVMCQkkxAVl2ObtqO74+DiyO/Ts2+ETkkw8G7dQXzQ/E0+aP4mN45eYvmAjzSbDe9hAps3Zt2mbaiqyvFTZ3F2LoK3lwfNGtVj34Ej3I1P4G58AvsOHKFZo3pWj2/xkhU0bNSOho3a8fu6zbzysnnYWcOGAdy9m0B4eO5Dw3t072jRqwRY3N/0/PNtOHfuUuEFng/TjQvovIuhePiC3gabus+QcfK++6pSkkma9DJJ7/Yn6d3+GK+dx/DFDEw3L5Fx9jC6YqXB1h50OvQVamAKv6FJOQBMoZfQefqjFPUBvQ36Ws3IOGc5dFBxyd6f9VXrY4rU7liVn7Sz57ApWRy9v7ned3q2JSm7Qyzy2FaqgPu4UcSMnYLpTvYxIf3seXTOzujczXWofb0AMq7mfd9mYdm9cgtzgsczJ3g8J7YcpGGXZwAoE1CRlIRk4nM5jj03ugcOLk6smb4iR5pP+WI4uhXh6pELhR57Xqr7unDjbjKh8QZzvX8xgsCylhdugsp5cyj0DgB3DGlcj0umuKsjTUt5EnIjlviUdOJT0gm5EUvTUtoMA938zQbGBo9kbPBIDm75mxZdgwCoGFCJ5IQk4iLvWOR3cHLIuo9Jp9dRr2V9Qi+b953YyFiqNTbP9lejWS3Cr1n/HFMrqlo4rydVfrPhhSmK0khVVYu7chVFaQxY5xdhMpL85Txcpn1knjp82waMN6/h2PM1Mi6dI/3gPhyCu2BTqx4YM1ATE0maPwsAm2q1cez5mvlKmkklafFc1MQEq4Sdl11/7uWZVk3ZuP8XUgwpTHlrRlbaL9tW0rVVb+zsbfnih/nY2OrR6/SE7D7Iz99mn2y079SajWu3ahF+FhudjgnP1mDIT39jUlU61ixJBS8XFu4+RzU/dwIr+tG0rDch16LosmwHOkVhZGA13B3tNI07V0YTVyYtpfqqKaDXEblqO4bztyg1rgeJxy4Tu+UQEd9vo9Jnb1I3ZAEZcYmcH2weNmTr5Ub1VVNQTSpp4bFcHD5f06LY6HVM6NSUIV9uxGRS6diwMhX8PFi4+RDVSngTWL00AJsyJ3ZQlOwu7yuRccz9fT+KYj5g9WlRi4r+eY+rt4ZzO45SJagO4/+aR5ohlZ/GLslKG7FhFvOCJ+Lm50Gr4Z2JuBTKW3+8D8C+FVs4sHqHVmHnauy0Dzh49ARxcfG06vQKb/TvTUaGuXHao/NzPNOkAbtDDtK++2s4OjgwY9JIANxcXRj8ak9eGvAWAK/366XpTHgAGzdtp127lpw9s4fkZAMDB43OSjuwf5PFLHgvvvg8HTv2tdh+6NB+PP9cazIyjMTeiWPgwFFowmQi5efFOL0x3Tx1+N9bMYXfwC74ZYw3LmI8dSDvbQ1JpO34Dacxc0EF45lDOe5rsiqTibTfl+Hw6mRQdGQc2YEaeQvbVj0whV7GeO4QNk2CsalSH9VkBEMiqb98nrW5w8Dp6LyLg50DjuMWk7ZmEcZLx7Upi9FE3McL8Jo3G3R6ktZvJOPqNVwGvkr62Quk7NmH67DBKE4OeMycZt4kIpLYcVPAZOLugsV4LfgIFIW0cxdIWvuHNuXIdGbHUaoHBfD2X5+SZkjju7GLstLGbZjNnODxuPt50HZ4F8IvhTL2D/PU7btXbCZktXlq93ovNOXI7/ty/fvWYqPTMf6Zyryx9igmFTpW86e8pzML91+mmo8rgWW9aVrKg5AbMXT5LgS9ojCiaQXcHc2TPQxsUJZXfjJfiBzUoCxuGs+EB3Bk+2ECguqzYNdi0gypfD5mQVbahxs+YWzwSOyd7Bm/dDK2drYoOoXTISfZ8q15Zs8l4z+n3zsD0On1pKems2TCQq2KYnWPMmTu/xMlr1mvFEVpCKwGlgNHMlfXA/oCPVRVzacmsaDGdn4s05xryuPXvwCo7pvf86/+G05HmNu/hmVjNI6k4Bz7m6di3uv3osaRFFyzcPMzXgzrcp9e+r/EsYP5tzWuTE+NIym4OdfMzztJj34ye6X+CVsv89ArewfrD0l+3FJTzFN8J7z5vMaRFJzL/PUAJE3upnEkBVdk5k8AhDZpqXEkBVc8xNxYebNMD40jKbj518z3dSUveEPjSArOabi5UdKtdEeNIym4n66vBfPzS/9TzpR/rlD6gapd/uOJ/F/kN3X4AaAxoAdexdxIUoA+me+FEEIIIYQQTxGTqhTK60mV3zA8VFWNAN7OnCq8J+ZG0jPAL/ltJ4QQQgghhBD/dXk2lhRFqYS5gdQT8xTiqzEP2wuyUmxCCCGEEEKIJ8gjPED2/5X8epbOAbuB51VVvQSgKMpIq0QlhBBCCCGEeOI8yTPXFYb8pg7vAtwGdiiK8qWiKK34D96EJoQQQgghhBD/Rp49S6qq/gb8pihKEaAjMALwURRlEfCrqqraPRVVCCGEEEIIYXVP8mQMhSG/niUAVFVNUlX1e1VVXwBKAEeB8YUemRBCCCGEEEJoKN/Z8B6kquod4IvMlxBCCCGEEOIpIhM8CCGEEEIIIUQuZIIHIYQQQgghhBAoauE3D5+y9qcQQgghhBCP5D83pu1QiU6Fcm5f/9ZvT+T/QnqWhBBCCCGEECIXVrlnqVvpjtb4mEL10/W1ABi+mahxJAXn2GcWAK5FymkcScHFJ10BYHHJVzSOpOBev/ktADZ2xTWOpOAy0kIBuFyjrcaRFFz5U5sBsHcoqXEkBZeachOA9OgrGkdScLZe5uNXs+ItNY6k4PaGbgegrn9zjSMpuCO39wAwvkxPjSMpuNnXVgEQERiobSCPge/OncD/r/3lZoNWGkdScCUPbtM6hH/laZvgQXqWhBBCCCGEECIXMhueEEIIIYQQ4pE8bQ+llcaSEEIIIYQQ4pE8bTO3yTA8IYQQQgghhMiF9CwJIYQQQgghHsnTNgxPepaEEEIIIYQQIhfSsySEEEIIIYR4JE/b1OHSWBJCCCGEEEI8EpPWAVjZPxqGpyiKp6IonRVFqVdYAQkhhBBCCCHEkyDfniVFUdYDE1RVPaUoij9wBDgElFcU5QtVVedZI8h+7wykblA9Ug2pfD7mU66eyvn0+ckrpuHuUxS9jZ6zB86wbOoSTCYTZaqVZeDMIdjZ22I0mlg6ZTGXjl+0Rtg57L0czpwtJzCpKp3rlOG1ppVz5Nl85hZLdp8FoJKvGx90agjA7bvJvPvHESLiDSgKLOjRlOLuRawa/4PmfPg2bdoGkmxIYcjgsRw/dtoi3dm5CJu2rs5aLl7Mj9Wr1zJh3AyaNmvAB3OmUqNGFfr1fYu1v220dvgWmr3bm1It65BhSGXHqC+IPnUtR56G47pRqWtz7N2KsKzKgKz1OjsbWs57He+aZUm5k8Cfb3xGwq1oK0Zv6ZO502nfriXJBgP9+4/k6LFTFunOzkXYuePXrOUSxf357vs1jB4zjY8/fIcWgU0BcHJyxMfbEy+falaN/x7HZvXxmvA6il5P/C8biVv2o0W6W58uuHZth2o0Yoy9S9TUuWTcjgTAf/FM7GtVIeXoacKHvq1F+DnM/fhd2rVrSXKygQEDR3Esl+9l+7ZfspaLF/dn1ao1jBn7Lr17d2PW+5MJCwsHYNHi5Xz99Q9Wjf+eKe/PZdfeA3gUdee3bxfnSFdVlVnzFrM75CAODvbMnDyaapUrALB2w1aWrDDHPbjvS3QMbm3V2HMzYvowmrRsRIohhZkj53DhVN71w+yv36NYKX96t+oPQIVq5Rj7wUgcnRy5fSuCd4fNJDkx2Vqh5zB2xls0b9WEFEMK00a8z7mTF3Lk+eKXBXj5eJKakgrAGy+N5E5MHF37dKT7q10wGU0kJxt4b+wcrl64ZuUSZOswrS+Vg+qQbkjjxzGLCDttGYutgx0vLxyBZ2kfVKPKmW2H2TTb/Ntq9PKzNOndGtVkIjUphTUTlxJ5KVSDUoBdw4a4DBsGej2GP/4g+fvvLdKdunXD8bnnUI1GTHFxxM+ZgykiAgDnQYOwb9IEgMRvviF1xw6rx5+bR9lnFvw0Fy/f7N/ZiJ7jiIuJw9bOlqmfTqByzUrcvRPP20OmE34rwtpFwKFJA9xHDwWdjqS1G0hYYXk8de71Is4dg7O+l9jpH2IMN9cvJf7eQvrlqwAYwyOJHj3V6vFrTUWG4d2vrKqq92r0fsBWVVX7KIriAuwFCr2xFBBUD/+y/gxv8ToVAyox8L0hTOo0Nke+uUPnYEg0ADB68XgaP9eMfb/v5pWJffnp0x84tvMIAUH1eGViX955aUphh52D0aQya9NxFvdqjq+rIy9/tYMWFf0p7+2aled6bCJf7TvP8j4tcHW0IzYpJSttyrpDDGhWmSblfElOy0DR+Hfapm0g5SuUoU6tljRoUIdP5s2gZWAXizyJiUk0b/J81vJfe9aybu0mAG7dDGPI4HG8+dYAtFYqqDZuZf1Y9b/R+ASU53/vv8qvHd7Jke/a1iOcWr6Vnrs+slhf9f/Yu+/oKKq3gePf2U3b9F7pTToESOgSeuhI771LLypFQZCiKCKKgoJSVETKD0SQDtIChBZ676T3tmm78/6xkGTZhKAxu/H1fs7Zc7IzzyTP5O6dnTv3zp0+AaTHp7Cp6TTKd25A/Vl9ODjuKyNlr69dYAsqVihL5apNqO9fh5VfLaZRk056McnJKdTza5P9/szpP9ixYw8A02bMy17+9rih1K5d3Sh5G1AocJvzNqEjZ5IVHk2JzV+ScuQ0mfcfZ4ek37jH094TkNPSse/dEZdpI4iYvgiA+B+2IFlZYt+rg2nyf0lg2+ZUqFCWqtVEpKGDAAAgAElEQVSa4u/vy5crFtH0zc56McnJKfjXD8x+H3RqNzue1xeArVt3MXmK6b+Uu7ZvTb/unZm14NM81x8PCubx01D2bF7L5Ws3WfDpV2z6bjkJiUl888PPbF67AoDewycS0KQBDvZ2xkxfT8MW9SlR1ofeTQZSrU4Vpi+ezKhOb+cZ26xdU1JT1HrL3ls6na8WrOLS6ct06B1I/7G9+W7pD8ZI3UDjFg0oVa4kXRr1oUadasxcMp3BHUblGTt7/IfcCLmlt2zv9gNs27ATgDfbNGbavAmM7zetyPPOyxsBtXEt68nSgCmU8q3AWwuHs7Kr4Wf/2He/cz/oOkpzJSN/msMbAbW4dTSESztPcuangwBUaVWXju8P5PvBS4y9G6BQYDdpEvHTp6OJisJ51SrST55E8+hRdkjmnTukjh4N6emoOnfGbvRoEubPx6JBA8wqVSJmxAgwN8d5+XIyzpxBTjVdYxz+Wp35cPxCbl7Wb7B37NuOpIQkejcZSMvOzRk3exQfjF1gjNRzKBQ4vTORyPHvoImIwmP916iPBZH1IFe53LpLxKCxyOnp2HTvhOPEUcTM+ggAOT2DiP6jjZuzYFIFDcPLzPVzS2APgCzLSRhpyKJfa3/+3Ka7mnLn4m1s7G1wdHcyiHvRUFKaKTEzNwNZ98gsWQZrW2sArO2siYuMNUbaBq6GxlLS2YYSTjaYKxW0rVqCo7fD9GK2X3xA77rlsFdZAOBsYwXAvahENFqZhuU8ALC2MENlbtrbzdp3aMWmn3W9E8HBl3BwsMfD0y3f+AoVyuLm5sKpk8EAPH78jGtXb6LVmn7ka5k2dbm97QQAkRfvYWlvg7W7o0Fc5MV7pEbG57F9HW5vPQ7A/d1n8WlcrWgTfoVOndqy8aetAJw5ewEHRwc8Pd3zja9YsRzubq4cP3HGYF2f3l3ZvHlHkeX6KpY13iDzcShZT8MhK4vkP45i06KhXkxacAjy86uWaSE3UHq4Zq9Tn7mENlX/xNaUOnVqw48/6XqNzp69iKOj/avLpUJZ3NxdOZFHuZhavdo1XtnAOXLiNJ0DWyJJErWqVyEpKZmo6FhOnjlPQz9fHOztcLC3o6GfLyfPnDdi5oaatG3E3q0HALh24QZ2Dra4uDsbxKmsreg9qgfrv/hRb3nJciW4dPoyAMHHz9OsfdOiTzofAYFN+X2LrnF95cI17OxtcXV3ee3tU3L1iKmsVciy6R47Wa1NXc5v1x1TH1+8i8rOGjs3/WNyZloG94OuA6DJ1PDs2gMcPHX7m56cU/ctrC2zzweMzbxyZTTPnqEJC4OsLNIOH8aycWO9mMxLlyBddxzLvH4dhZvue9SsdGkyQ0JAo4G0NLLu3cPC39/o+/Cy160z+WnapjF7tuwH4OjuP6nbpE6R5PkqFtUqk/nkGZpnunJJPXAEVbNGejHp5y8hPy+XjCs3ULrnf37zX6SVi+ZVXBXUWHoiSdIESZLeAuoAewEkSVIB5kWdHICzpwsxoTlDmmLCo3H2yPsLYPaGeay5sIG0FDWn95wCYN38NQycNYRvgtYyaPZQfvp4ozHSNhCZlIannSr7vYe9isgk/ZO5R7HJPIpNZvD6owz84Qgn74VnL7ezMmfq1tP0XnOIZYeuoDHxp8rb25OnT3Mae89Cw/H28sw3vnuPjmzfttsYqf1lNp5OJIfGZL9PDovFxtOwQf7q7XWNcFmjJSMpFSsn2388z9fh4+3J0yeh2e+fPQ3Dxzv/cundqzNbtvxmsLxUKR/KlCnJ4SMniyTPgpi5u5AVHpX9PisiGjN313zj7bsFkno82Bip/S26+pKrXJ6F4f2KcunZqzNbt+zSW9a1azvOBe9n08+rKFHCq8hyLayIqBg8c5WVh7srEVHRRERF45nrhMPDTbfclNw8XYkMjcx+HxkWhZun4eds5DvD+GX1FtLUaXrLH9x+RNO2upPf5h2b4eGdfwO4qLl7uhKhty+RuHnlXWfmfT6LTQd+YMSUwXrLew3pxs6gzUyaM5ZP5hhllH2e7D2cSch1TE4Ij8XeM/8Tcit7a6q0rMPdkzlDWxsObM07fy6n/Xv92DlvfZHmmx+FmxvaqJzjmDYqCqVb/ifdqg4dyDh7FiCncWRpieTggLmvL0p3032+XnjdOgMwa9k7rNv/LUMmD8hze41GS0piCg5O9nluX1SUbq5oInLKRRMRhdIt/+8Xmy7tSDt1Nvu9ZGGBx/qvcf/+S1TNGue73f9nWqQieRVXBTWWhgPVgCFAb1mWX1xWbwCYZqzBKywcNI9RfkMwszCneqMaALQZ0I51C9YytuFw1s1fy9hPJpg4y/xptDKPY5NZM+BNlrzlz/zdF0lMy0Cjlbn4JJqpLWvw07DmPItL4bfLjwr+hcVI9x4d2frrroIDBaPq1asLv+TRe9S7Vxe2bd9dLHr+CmLbsQWW1SoS/8NWU6fyj+nVszObf92Z/X737gNUeqMR9fzacOjwcdas+dyE2f23VKxWHp/S3hzbe8Jg3aKpn9BtcBfW/rEKaxtrMjMz8/gNxcvstz+kd4vBDO86Dt/6tejQM2fo56/rttOlYW9WLFzFiMmDX/Fbig+FUkG/FRM4tW4fsU9yTuKDNh7gk2aT+WPJz7Sc8JYJM3w9Vq1bY/bGG6T8ort3JuPcOTLOnMF55Uoc3n+fzGvX4F9wPH7hwwmLGNRqBOPemkQt/5oE9jD9/Yl/h3W7VlhUqUTixpx7ZsM69yNi8Dhi3l+E49RxKH2K78Ur4Z/xyrFcsixHAmPyWH4EyPdOQ0mSRgGjAFavXv2Xk2o7qD2t+ugq1t3Ld3Hxzmnxu3i6EhsRk9+mZKZnErz/LH5t6nP5RAgB3Zvzw7zvAAjafZIxH4//y/n8E9ztrAjP1ZMUkajGPVdPE4CHnYrqPk6YKxX4ONpQ2sWWx7HJeNireMPDkRJOugkdmr/hzeVnsRj78D9y1EAGD+0NwIXzl/Wubvt4exIaFp7ndtVrVMbMzMzghnZTqja4FVX6NgcgKuQ+tt45vZW2Xs6khMe99u9KCY/D1tuZlPBYJKUCCztr0uKS//Gc8zN2zGCGD+8PwLlzlyhR0jt7nU8JL56F5l0uNWtWxczMjAsXrxis69WrCxMnzi6ahF9DVmQMZrmGdZp5uJIVadgLoWrgi9OovoQOmQ7F7ER1zOjBDBvWF4Bz50MoUSJXufh4ZU/W8LIaNapgZmbGxVzlEhubM/zz++83sWjhrCLKuvA83FwIz1VWEZHReLi54uHmSvDFyznLo6Lx861p9Py6De5C5/66e9luXLqFe67eIHcvN6LC9T9n1epWo3LNSmw9/TNKMyVOLo58uWUZE3pO5fG9J0zp9w6gG5LXqGUD4+0Iup6gt/rr7km8FnJDr2fL3cudqDDDOvNi/1JT1OzdfoDqtauwe8tevZh9Ow4yc4lx71dqOLA1/n1bAPA05D4OuY7JDp7OJIbnPYS+2+KRRD8I58T3eU8SFLIriLc+Gv7PJ/watFFR2cPqQNfTpMnV0/SCRd262AwYQOykSXrHsZQffyTlR93QT/s5c8h68qTok87DX60zANG5PmcHdhyiau0q7N16gKjwaNy9dZ9NpVKBjb0NCXGJxtmR5zRR0Sg9cspF6eGGJo9ebkv/OtgP7Ufk6Kl65fIiVvMsjPQLIVi8URH1szCD7f8/+69N8PDKniVJknZJkvRbfq/8tpNl+VtZluvJslxv1Ki8bzB9lX0b9jCj/RRmtJ9C8P7TNOuuO6mt6FuJ1KQU4iP1T2StrK2y72NSKBXUbVGPZ/eeAhAbGUvVBrqb1Ks3rkn4w1BMoZq3E49jk3kWn0KmRsu+609pVkn/akTzN7w490hXCeNS03kUk0wJRxuqeTmRlJZJbIpu/OzZh5GUczX+TdHffbuRJg070qRhR3bvOkDffrrmmp9fbRITk4gIN/wSAOjR03BIkaldW3+QrYGz2Ro4mwf7zlOpexMA3H3Lk5GUmue9Sfl5eOAClXro7lUo18Gf0JPXiyTn/Hyzaj31/NpQz68Nv/22j4H9ewBQ378OiQmJhIdH5rldn95d8rwn6Y03yuPk6EDQ6XNFmverpF+9hXkpH8x8PMDMDNt2AaQcOa0XY1G5PG5zJxI+fi6a2AQTZZq/VavX418/EP/6gez6bR8D+ncHwN/fl4SEpHzLpXevLnq9SoDe/U0dO7bh5s27RZd4IQU0acBvew8hyzIhV29ga2uDm6szjevX5dTZCyQkJpGQmMSpsxdoXN/4T6HYvn4nQ9qMYkibURzbdyL7ine1OlVITkwh5qX7Wnds+I0udXvRo0E/xnadyJP7T5nQcyoAji66+2gkSWLwpAHs2Jjv12KR+HXddvq2Hkrf1kM5+sdxOj7vJapRpxrJSclER+pfWFQqlTg6OwBgZqakaetG3L2lm122ZNkS2XFNWzXiyYOnRtoLnaCNB/ii/Uy+aD+Ta/vPUbeb7phayrcCaUmpJEUZHpPbTOuFlZ2KXfM36C13KZMzxLVyC1+iH+Z9YaKoZd66hbJECRSenmBmhlWLFqSfOqUXY1ahAnZTpxI/axZyfK59VCiQ7HXD08zKlcO8fHkyzpnmmPxX64xSqcgeWqc0U9KoVQPu39LNHndi/yna99RNMBTQoRnnT1404p7oZFy/iXkpH5TeunKxbt0c9TH9cjGvVAHnmVOInvY+2riccpHsbMFcdxeKwsEei5rVyHzw7xrpI/x1Bc0SkPd0R0Z04fB5fJvX48tjq8hQp7Ny+pfZ65bu+ZwZ7adgaW3Ju2tmY25hjqSQuBZ0hf0/6q6UrX53JUPnjUChVJKZnsnq9742yX6YKRS817Y2YzedRKuV6VKrNBXc7Pn6z+tU9XIkoJI3jcp5EHQ/km6rD6CQJKa0rI6jtSUAU1pWZ/TPx5FlqOLlSHffsibZjxf27TtCm7YBhFw5Qqo6jXGj38ledyLod71Z8N7q1p4e3YbpbV+nTk1++uUbHB0daNeuJbNmT6K+XyCm8PjwJUq1qEXfE5+Rpc7g6LRvs9f12LuQrYG6HpYGs/pQoWsjzFQWDDi7gpubjnLu8+3c/OVPWiwfQ9/jn5Een8yBt00zEx7Anj8OERjYgls3TpKqVjNixNTsdeeC9+vNgtejeyc6dRlo8Dt69+rCr1t2Giw3Ko2W6EUr8Vq9CEmpIPF/+8m89wintweRfu02qUdP4zJtJJK1Co9lutkts8IiCZ8wDwDv9Z9hUbYEkrWK0gd/JPKDz1GfMt1kAn/sPUxgYAtuXD9BaqqakaNyrtqfPbNXbxa8Hj060qWL/hCot98eSscOrcnK0hAbF8/IkVMxlRlzlxB88TLx8Ym07DqAccMHkpWVBUDvtzrwZkM/jgcF067XMFRWViyYNQUAB3s7Rg/pS58RkwAYM7SfSWfCAwg6dIaGLerz68kfSVOnsWjqJ9nr1u3/liFtXn2xr3XXFnQb0gWAP/ecYPfmva+ML0onDgXRpGVDdgZtJk2dxrwpi7LXbTrwA31bD8XcwpyVm5ZhZqZEoVRy5vg5/vej7kJW72Hdqd+0HlmZWSQmJPHBxIWm2hVuHrnIG81r886fy8lQp7NlRs4IlUl7FvNF+5k4eDrTcsJbRN59xsTdun09tX4/wZuP0GhwGyo2roEmKwt1Qgq/TvvGNDui0ZD0xRc4LV0KCgVpf/yB5uFDbIYOJevWLdJPncJ27FgklQqHDz8EQBsRQfzs2WBmhvMK3cyR2tRUEhYu1E32YGKvU2fMLSxY9vMnmJkpUSqVBB8/z28/6e5Z/v2XPby/YhabT2wkMT6JueOMPBMegEZL3Cdf4rbiYySlguTf/iDr/iPsRw8h48Yt0o4F4ThpFJJKhcsS3aMnXkwRbl62FE4zp+hmI1BIJK3/RW8Wvf+Kf8+A0H+G9Loz3kiS5AYgy3Le3Qf5k3uW7vJX8yp2tjzSnTyqN8w0cSaFpxq0GAB7m3ImzqTwElN0V0VXlRxQQGTxN+aJbriFmYWPiTMpvKwM3TNN7lVva+JMCq/81X0AWFqVNHEmhZeephvGkxlt+Ky6fxtzV93xq7FPCxNnUngnnx0GoI5XExNnUngXwnT3dr1bpq+JMym8jx9uAiAiIMC0ifwDPI4eBf5/1Zcnfi1NnEnhlQw+BPz7xrQd8OhdJLOMtY7YXCz/FwVN8IAkSXMlSYoGbgG3JUmKkiSpeDzlURAEQRAEQRAEo5GRiuRVXBV0z9JUoAngJ8uysyzLTkB9oLEkSVOMkaAgCIIgCIIgCMWDtohexVVBPUsDgb6yLD94sUCW5fvAAGBQUSYmCIIgCIIgCIJgSgVN8GAuy7LBfIqyLEdJkmSUh9IKgiAIgiAIglA8FOdeoKJQUM9Sxt9cJwiCIAiCIAiC8K9WUGOpliRJiXm8koAaxkhQEARBEARBEITiwVQTPEiSFChJ0i1Jku5KkvReHustJUna/Hz9GUmSyvwT+/vKYXiyLCv/iT8iCIIgCIIgCMK/n9YEE9dJkqQEVgKtgadAsCRJv8myfD1X2HAgTpblCpIk9QE+BnoX9m8XOHW4IAiCIAiCIAiCCfkDd2VZvi/LcgbwC/Dyg1y7AOuf/7wVaClJUqGbdgVN8CAIgiAIgiAIggCA1jTPRPIBnuR6/xTd44zyjJFlOUuSpATABTCYrO6vED1LgiAIgiAIgiCYlCRJoyRJOpfrNcrUOQFIsiwX9d8o8j8gCIIgCIIgCP9CJummKYwdnv2K5Ny+a/jP+f4vJElqCMyTZbnt8/czAWRZXpwrZt/zmCBJksyAcMBNLmRjR/QsCYIgCIIgCILwWrRF9CpAMFBRkqSykiRZAH2A316K+Q0Y/PznHsDhwjaUwEj3LKWummSMP1OkrMd8AcDIMj1NnEnhffdwCwCpX4wxcSaFZz1pFQA7PPuZOJPC6xr+MwCpK8ebOJPCs377KwDmlPn3l8tHD3XlkjSxo4kzKTy7Fb8D0NinhYkzKbyTzw4DkBl938SZFJ65azkA0m+fMHEmhWdZqQkASZM7mTiTwrNbvguANiUDTZxJ4e1/sheA5He7mTiTwrP9eDsAPUu/fG//v8+WRztNncK/xvN7kMYD+wAl8L0sy9ckSZoPnJNl+TdgLbBRkqS7QCy6BlWhiQkeBEEQBEEQBEF4LdrCTzD3t8iyvAfY89KyD3L9nAb8470aYhieIAiCIAiCIAhCHkTPkiAIgiAIgiAIr+W/NnOb6FkSBEEQBEEQBEHIg+hZEgRBEARBEAThtbzGzHX/r4jGkiAIgiAIgiAIr0X7r3syVOEU2Fh6/lCndkDl54tuAHtlWc4qysQEQRAEQRAEQRBM6ZWNJUmSfIDDQBhwEd1ThjsCn0mS1FyW5dCiT1EQBEEQBEEQhOJAy3+ra6mgnqWFwDeyLC/PvVCSpInAYnKekisIgiAIgiAIgvD/SkGNpQayLA95eaEsyyskSbpVNCnpO/kwiqVHb6DVQtfqJRjmX84gZv+tMFadvouERCU3Oxa3r0Voopppuy6ilWWyNDJ9apeiZ61Sxkj5lfrMHUqN5nXIUKfzw/SVPL72wCBm0vrZOLg7olQquRN8g5/eX4us1VK3fQM6T+6FZwUfFnWZyaMrpntyvaJ0VSya9QJJQda1k2Sd22cQo6xYF/P6HQEZbfRTMvZ+r1tepQHm/u0ByDy7B82N08ZMPU81PhqER8vaaNQZXJi0ioQrDw1iHGqWpc4Xo1FaWRBx6BJX5mwAwLtTfSpP745dRW/+bPc+8SGGZWosJx9Gs/TYLbSyTNdqPgyrV9YgZv/tcFaduY8kQSVXOxYH1gDg7R0XuByegK+3Iys6+xo79Tx1mDuISs1rk6nOYNv0VYRde6i33tzKgj5fT8K5tAdajZZbhy6w/+NfACjjX5n2HwzEo3Ipfp3wJdf+OGuCPdBRVqmDVbdRoFCQGbSfjINb84wzq9UI1fBZpCydjPbJXQAU3mWw6j0erFQgy6R+OgWyMo2ZvoHJ88fTsEV90tRpLJzyCbev3sk39uMfPsK7lBcDWw4HoELVcsxYMgWVtYqwpxF8OH4hqcmpxkpdz5xFyzh28izOTo7s+HGVwXpZllm8fBXHg4KxsrJk4expVH2jAgA79xxg9XrdZ2304D50ad/aqLm/7MT5K3z83Sa0WplurZsyvGd7vfWhkdF88MUPxCUm42Brw6JpI/B0dQZgzNzPuXLrHr5VKvLV3EmmSF+PsnIdrLqNBElB5ukDZBzKp77UbIRq2ExSPpuSU1+8ymDV+22wtAZZS+qyqSavLwDjPhyLXws/0tXpfDr1M+5evZtv7Iffz8OrlCejWo3RW959VDdGvz+KHjV7kRiXWNQpG1BW8sWy8zBduQQfJPPo//KOq94A1cB3SF0xA+2ze6A0w7LbGBQ+5UGWydi1Fs39a0bOPm9D542kTvO6pKvTWTn9Cx5cNTyvmr1+Lo7uTijNlNw4e521769Gq9VSpmpZRi4ci4WlORqNljVzVnE3JP9j4f8n/7WpwwtqLKlfsa7Iv900Wpklh6/zTTc/POys6P9zEM3Ku1PexTY75lFcCt8H32dd7wbYW5kTm5oOgJuNJet7N8DCTEFqRhY9Np6gWXl33G2tijrtfFUP8MW9rBezAyZQzrci/ReOZHHXWQZxq99eRlqy7l8/5ptp1OvQgOBdp3h26wlfj/mUgYtGGTt1fZKERUBf0v/3BXJyHFZ9ZqK5fxk5NiwnxNEd83ptSduyFNJTQWWnW2FpjXn9DqRtWgyAVV/dtqSb5mQJwKNlbWzLeXKw4VSc6lSg1sfDONb+A4O42h8P49K0NcRduEvDn9/BvUUtIg+HkHjzCWeHfU7tpcNNkH0OjVZmydGbfPNWHTxsrei/+QzNyrrp15f4FL4/95B1Pf2e15eM7HWD6pYmLVPLtqtPTZG+gUoBtXEp68nnAVMp4VuBzguHsbqrYbmc+G43D4KuozRXMvSn2VQMqMWdoyHEh0azbfoqmozsaILsc5EUWPUcS+rKOcjxMVhP/5ysq2fQhj/Rj7NUYd6sM5qHN3OWKRRYDZxG2sZlaEMfgLUdaDTGzf8lDVvUp0RZH3o3GUi1OlWYvngyozq9nWdss3ZNSU3R/xp5b+l0vlqwikunL9OhdyD9x/bmu6U/GCN1A13bt6Zf987MWvBpnuuPBwXz+Gkoezav5fK1myz49Cs2fbechMQkvvnhZzavXQFA7+ETCWjSAAd7O2Omn02j0bJo1U98u2AaHi5O9J26gID6tSlfyjs75rPvf6VTi0Z0admYMyE3WLF+G4umjQRgSLe2pKVnsPWPP02Svx5JgVWPMaR+876uvkxdpqsvEXnVl0551JeppP24DG3ow2JRXwD8mvvhU9aboU2HUdm3MhMXjWdi58l5xjYObIw6xfDUy83Llbpv1iXiaURRp5s3SYFl15Go13yInBCDavwnZF0PRo586fvCwgqLxh3QPL6dvcjcvxUA6uVTkGwcsBo2B/VX74Bs2lNu3+Z18SrrxYRmY6joW4mRH41lVtcZBnHL3v4E9fNzsmmr3qVBh8ac2nWcATMHs+WLX7h09AK+zesyYOZg5vWZY+zdMIn/2gQPBT1nyUGSpG55vLoD9kWd3NXweEo6WlPC0RpzpYK2b3hy9J7+geJ/V57Sq1Yp7K3MAXC2tgTAXKnAwky3exkaranrJAC12/hxervuy+j+xTtY29ng4OZoEPeioaQ0U2Jmbpade/i9Z0TcN/1tYgqPMsgJkciJ0aDVkHU7GGW5mnoxZtWakHn5z5xGkDoJAGXpqmge39AtT09F8/gGytJVjb0Lejzb1uXxr8cBiLtwF3N7ayzd9cvF0t0RM1sVcRd0VwMf/3ocr8B6ACTfCSX5XhimdjUiQVdfHJ7Xl4qeHL0fpRfzv6vP6FWzRK76YpG9rn5JF2wslEbN+VWqtKnLpe26cnl68S5WdtbYvlRfMtMyeBB0HQBNpobQaw9x8NRdLY9/Gk3EzSfIsmknOVWUroQ2Kgw5JgI0WWRdOIZZjQYGcZYdBpBxcCtyZs5VcGXlOmhDH+oaSgCpSWDi/WnSthF7tx4A4NqFG9g52OLi7mwQp7K2oveoHqz/4ke95SXLleDS6csABB8/T7P2TYs+6XzUq13jlQ2cIydO0zmwJZIkUat6FZKSkomKjuXkmfM09PPFwd4OB3s7Gvr5cvLMeSNmru/qnfuU8nKnhKcb5uZmBL7pz5EzF/Vi7j8Oo37NKgD416zMkTOXstc1qFUVG5XpLiTmpihdEW10rvpy8RhmNeobxFm270/GoW3IuXqNlG/4Pq8vD3ULikF9AWjUpiEHth0C4ObFm9jY2+KcR52xsrai+8hu/Lxik8G6MXNHs2bhGpOdyyhKVkAbE4Yc+7xcQk5gVtXfIM6ibT8y/twBmTkX4iT3kmjuXgFATklATkvR9TKZmF9rf/7cdgSAOxdvY2Nvg6O7k0Gc+qVzsheFIMtgbWsNgLWdNXGRsUbKXDC2ghpLfwKd8nh1BI4VbWoQmZyOh50q+72HrRVRyel6MY/iU3gcl8qQX04zaFMQJx/mnByGJ6nptfEE7dYcZUi9sibtVQJw8nAmNjQm+31ceAyOnoYHTIDJG2bz2fk1pKWkcX6P6Yep5SbZOiEnxWW/l5PjkWz1DzCSkzsKRw8se87Astc7KJ43iF5nW2NTeTmhDs05yKWFxaLycjKMCXt1jKlFJqfjYWuZ/d7D1pKolJfrSyqP41MZsuUsgzaf5eTDaGOn+drsPJxIyFUuieGx2Hvm/z+3sremcss63DtZPIZ3vKBwdEEbn3Nc0sZHIzm46MeUKI/k6Irm+jn95e7egIxq7HysZyzHomV3Y6T8Sm6erkSGRma/jwyLws3T1SBu5DvD+GX1FtLUaXrLH9x+RNO2jQFo3rEZHt7uRZtwIURExeDpnjrCq40AACAASURBVLNvHu6uRERFExEVjae7W85yN91yU4mIicfDNee7xMPFiciYeL2YSmVLcjBI16A7FHSBFHUa8YnJRs3zdSgcXNDG5fwvtfEx+dQXtzzqiw/IoBrzIdbTlmPRoptRci6Ii6cLUaE5x4DosChcPF0M4obMGMS277aRrtY/bjds04Do8Bju3zDdEG/JwQU5Puf8RU6IQXLQP39ReJdD4eCC5qb+hQNt2EPMqvqBQoHk5I7SR3e8MzVnTxdiQnM+azHh0Th7GJYLwOwN81hzYQNpKWpO7zkFwLr5axg4awjfBK1l0Oyh/PTxRqPkXRxoi+hVXL2ysSTL8tD8XsB7RsrxlTRamcfxKXzX05/F7Wux4MA1ktJ0V5o87VT8OrAJO4e+ya7rocS8dOJYnC0ftJDp/qMwszCjcqPqpk7nL5MUCiRHd9K3fUbG3rVYtBwAFqqCNxSKlK6+pPJdt3osDqzBgsPXSUo3/Xj+wlIoFfRaMZ6gdXuJexJZ8AbFiSRh+dYI0nesNVynUKIsV5W0DZ+SuvxdzGo2RFmplvFz/IsqViuPT2lvju09YbBu0dRP6Da4C2v/WIW1jTWZmf/+z9+/wbRhPTl/9Ta9Js3j3NVbuLs4oVAUdL20GJIkLLsOJ33nK+rLxs9IXfG8vlSsaRhXDJWrWg6v0t6c3HtKb7mllSV9x/dh/WcbTJTZa5IkLDsOIX33OoNVWecOoU2IQTVhKZadhqF5dBO0xfnU2NDCQfMY5TcEMwtzqjfS3efbZkA71i1Yy9iGw1k3fy1jP5lg4iyFovKXHkorSZIj0B3oB1QBvPOJGwWMAli9ejUD/mZy7raWRCTljN2NSE7DLdeVc12MFTW8HDBXKvBxsKa0kzWP41Op5umgF1PB1ZYLz+JoXcnzb2bz9wQMbMubfXXjdR+E3MXZO+eqhZOnC/Hh+XfbZqVnEnIgmNqt/bhx4nKR5/q65OQ4JLucK/ySrSNycpxejDY5Hm34A9BqkRNjkOMjUTi5IyfHoShRSW9b7dPbGFvZoa0p0785AHGX7qPyzrlCZuXljDpMf3/UYXGovF4dY2rutpZE5Op5jUhOx83m5fpiSQ3PF/VFRWlHG1198XB4+deZRP2BranXV1cuz0Lu45CrXOw9nUkMz/t/3mXxCGIehBP0/V6j5PlXaONjMHfM6YVQOLoiJ+RcocVShcKrFNYTdPfxSfZOqEa9j/rbBcjxMWjuXkNO0d3MnXX9HIoS5dHcDjHqPnQb3IXO/TsAcOPSLdxz9Qa5e7kRFa7fq1KtbjUq16zE1tM/ozRT4uTiyJdbljGh51Qe33vClH7vALoheY1aGg5JLC483FwIj8zZt4jIaDzcXPFwcyX4Ys4xOSIqGj9f052Ue7g4EhGd810SEROHu4v+kFV3Fyc+n6W7tyxVncbBUxewfz6EqDjRJsRg7pTT66BwdDGsL56lsR6/CADJzgnViDmo13yEHB+N5t5Vw/pyx/jfn50Gd6J930AAboXcxs075xjg6uVGTHiMXnzVulWoVLMiG06tR2mmwNHFkaW/fsLKD77Gs6Qnq/Z9A+juXfr6j6+Y0GkScVHG+w6SE2KQHHPOXyQHF+SEXOcvlioUnqVQjVqgW2/niNWQmaStW4z22T0yfs+5L1E1bhHaaNPcUtB2UHta9dFNxnL38l1cvHM+ay6ersRGxOS3KZnpmQTvP4tfm/pcPhFCQPfm/DDvOwCCdp9kzMfjizb5YqQY3NliVAVeVpIkSSVJUh9Jkn4DrgCfAQuAEvltI8vyt7Is15Nlud6oUX9/MoJqng48jkvlWUIqmRot+26FE1BOf8hG8wrunHuiq7Bx6gwexaXi46AiIimNtCzdjZ2JaZlcfBZHGWebv53L33V04z7mt5/B/PYzuLQ/mAbdmgFQzrci6qRUEqL0h0pYWltl38ekUCqo0aIu4feeGT3vV9FGPEJydEeydwGFErNKfrpJGnLR3LuE0ud5o8jKBsnRHW1CNJpH11GWqqqbqcjSGmWpqmgeXTf6Pjz44QBHWs3iSKtZhO09R6leuvsmnOpUICtJTXqkfrmkR8aTlazGqY5uJqxSvZoSvs909yjkpZqHPY/jU3mWoNbVlzvhBJRz04tpXs6dc091X7Bx6gwexafgY198evzObDzAyvazWNl+Ftf3n6N2N125lPCtQHqSmuSX6gtAq2k9sbKzZs/84jkEQvv4Ngo3byRnD1CaYVbnTbKunMkJSEslZVZ/Uj4cTsqHw9E8vIX62wVon9wl68Z5FN6lwdwSFAqUFaqjDX9s9H3Yvn4nQ9qMYkibURzbd4LAHrqTjWp1qpCcmELMS2P1d2z4jS51e9GjQT/Gdp3Ik/tPmdBzKgCOz0/iJUli8KQB7Nj4m3F35i8IaNKA3/YeQpZlQq7ewNbWBjdXZxrXr8upsxdISEwiITGJU2cv0Lh+XZPlWa1iWR6FRvA0PIrMzCz2HjtLgH9tvZi4hCS0z6/mr9myh7daNTFFqgXSPr6DwjVXffF9k6yruWayTEslZU5/UuaPIGX+CDSPbqFe85Guvty8gMKrTE59KV/dcGIII9m1fhdjA99mbODbnNoXROvuLQGo7FuZlKQUYl+qM79v3E3fev0Z1GgwU7tN59mDZ8zo9Q4Pbz6kl28fBjUazKBGg4kKi2Zcu/FGbSgBaJ/eReHiheTkriuXWk3Q3AjOCUhLJWX+EFI/HkPqx2PQPr6d3VDC3EJXJoCyYi3QaAwnhjCSfRv2MKP9FGa0n0Lw/tM06667OFfRtxKpSSnER+r/X62srbLvY1IoFdRtUY9n93S5x0bGUrWBbuRP9cY1CX9o+nvKjUUrFc2ruCroobQ/A02B/cCX6B5Qe1eW5aNFnxqYKRS826Iq47afQyvLdKlWgvKudnx96g5VPRwIKO9Oo9KuBD2Kptv64ygliclvvoGjyoLTj6JZduwmuufoygyqW5aKrqaZqeiFK0cuUKO5Lwv//JIMdQbrZqzMXvfBnqXMbz8DC2tLxq95FzMLcySFxK2ga/z5034AfNv603feMGyd7Zn4/Uye3HjI8kELjb8jspaMo5ux7DpRN3X49VPIsWGYN+iENuIRmgeX0T66jlyqKlYD5oKsJfPEdkhLAXTThVv1ee/5z7tNOhMeQMTBS3i0rE3r05+TpU7n4uTV2euaH1zEkVa6GQtD3vueOl+M0U0dfjiEiEO6G6S92tWj5sLBWLjY0+DHd0i4+oigvkuMvh9mCgXvBrzBuJ0X0GplulTzpryLLV+fvktVd3sCyrnTqLQLQY9j6LbxFEqFxOQmlXBU6SZ5GLY1mAexKagzNbRde4y5rarSqLTpxpXfPnKJSs1rM/XPz8lQp7N9Rk65vL1nESvbz8Le05mACW8RefcZ43br6sLp9fs5v/koPjXL0W/1FFQONlRuWYcWU3rwZZt3jL8jWi1pW1dhPW6+burw0wfQhj/Gon1/NI/voLn6iinN1SlkHNmB9fRlIIPm+jmD+zSMLejQGRq2qM+vJ38kTZ3GoqmfZK9bt/9bhrR59QWy1l1b0G1IFwD+3HOC3ZtN1xs4Y+4Sgi9eJj4+kZZdBzBu+ECysrIA6P1WB95s6MfxoGDa9RqGysqKBbOmAOBgb8foIX3pM0I3zfaYof1MNhMegJlSyawx/Rk793M0Wi1dWzWhQmkfVv64g6oVy9C8fm2Cr95ixfptSJJEnWqVmD22f/b2g99dwsOnYaSmpdNqyHQ+nDiExnVMNPxbqyVt2yqsx3yoqy9nDurqS7vn9eVaAfXl6A6spy4D5GJRXwDOHj6Lfws/1p34Xjd1+LRl2eu+2buSsYF5zyZZrGi1pO9cg2r4B7pyCT6ENuIJFq37oHl6T7/h9BLJ1kG3nSyjTYghbfMKIyaevwuHz+PbvB5fHltFhjqdldO/zF63dM/nzGg/BUtrS95dMxvz5+dk14KusP9H3TFr9bsrGTpvBAqlksz0TFa/97WpdkUoYpL8iqlVJEm6hK73aQPwiyzLTyVJui/LsuHDjvInp64y/XMbCst6zBcAjCzT08SZFN53D7cAkPrFmAIiiz/rSbpno+zw7GfiTAqva/jPAKSu/Pd35Vu//RUAc8r8+8vlo4e6ckmaaOIpyP8Bdit+B6CxTwsTZ1J4J58dBiAz2nTPm/unmLvqvlLTbxve4/VvY1lJ12OVNLmTiTMpPLvluwBoUzLQxJkU3v4nuhP85HeLx6QXhWH78XYAepbuYuJMCm/Lo52gu6r/r/JdiQFFMhJv5NMfi+X/oqAJHmoDvQA74KAkSScAO0mSPIyRnCAIgiAIgiAIgqkUeM+SLMs3ZVmeK8tyZWASul6mYEmSThWwqSAIgiAIgiAI/4+IqcNfQZbl87IsTwPKA8Vv2ilBEARBEARBEIR/SEETPNgDbwM+wG/AgefvpwHFZy5rQRAEQRAEQRCKnFws7ywqOgU9Z2kjEAcEASOAWehuRHtLluVLRZybIAiCIAiCIAjFSHEeMlcUCmoslZNluQaAJElrgDCglCzLaUWemSAIgiAIgiAIggkV1FjKfPGDLMsaSZKeioaSIAiCIAiCIPw3iZ4lfbUkSUp8/rMEqJ6/lwBZlmX7Is1OEARBEARBEATBRF7ZWJJlWWmsRARBEARBEARBKN6K5Im0xVhBPUuCIAiCIAiCIAgAaP9js+FJslzk7cP/WgNUEARBEARBEF7Hv67p8UWpAUVybj/p8Y/F8n8hepYEQRAEQRAEQXgtYoKHIpC6bKQx/kyRsp76HQAjyvQwcSaFt+bhVgDU/1ti4kwKT/XWewBs9upv4kwKr3fYTwCoN8w0cSaFpxq0GIBxZXqZOJPC+/rhrwCkzO5p4kwKz2bhFgDqeDUxcSaFdyHsBADpt0+YOJPCs6ykK4/M6PsmzqTwzF3LAZA0saOJMyk8uxW/A9C2ZDsTZ1J4+578AUDKwkEmzqTwbGZvAKB5idYmzqTwjjw9YOoUhNcgepYEQRAEQRAEQXgtomdJEARBEARBEAQhD/+1yQgUpk5AEARBEARBEAShOBI9S4IgCIIgCIIgvJb/2tThomdJEARBEARBEAQhD6JnSRAEQRAEQRCE1/Jfm+Ah354lSZL8XrFuYNGkIwiCIAiCIAiCUDy8ahjeWkmSvpEkyfHFAkmSqkuSdAzoXvSpCYIgCIIgCIJQnMhF9CquXjUMrw4wA7goSdICoAbQHpgmy/LvxkhOEARBEARBEITiQ1usmzb/vHwbS7IsZwGLJUnKAtYAoYC/LMuhxkoOQFGmGhYBfUChIOvKcbKC9+qtV1ZthMWbPZCT4wHIvHQYzVXdE93Nm3ZHWbYmSBKax9fJPPKLMVPPU9+5w6jR3JcMdQbfT/+Kx9ceGMRMXj8bB3cnFEold4Jv8NP7a5C1Wuq2b0jnyb3wquDDwi4zeXTlngn2QOfkrad8susMWlnmLb9KDAuoqbd+6a4zBN8PByAtM4vY5DROzOvPzdAYFu0IIjktE6VCYkTzmrStVc4Uu6DHd8EgvFrWQqPO4Ozk1cRdeWgQ41SzDP7Lx6C0MifsUAgX39+gt/6N0e2pPa8//6s2mozYZCNlru/kvXA+2X9ZVy61yzCs0RsGMfuuP2X18RsAVPJwYElXf4IfRrH0wOXsmIcxSSx5y58Wb3gbLfe89Jw7lGrNfclUp7Nh+tc8eam+mFtZMPLrqbiW9kCr0XLl0Hl2fvwzAM4+rgz4ZCx2zvakJCSzbvKXxIfHmmI3UFasjUWHobrj2LlDZB7bobfezDcAi3YD0Sbq8ss6/QdZ5w4DYDl4NsqSFdE8ukn6xiVGzz0vMxZMoknLhqSp05g7eRE3r9w2iPl225e4uruQnpYOwLg+U4iLiaf7oC70GtINrUZLaqqaj2Z8woPbD428Bzonzl/h4+82odXKdGvdlOE92+utD42M5oMvfiAuMRkHWxsWTRuBp6szAGPmfs6VW/fwrVKRr+ZOMkX6euYsWsaxk2dxdnJkx4+rDNbLsszi5as4HhSMlZUlC2dPo+obFQDYuecAq9frvh9HD+5Dl/atjZr7y5RV6mDVbRQoFGQG7Sfj4NY848xqNUI1fBYpSyejfXIXAIV3Gax6jwcrFcgyqZ9OgaxMY6afp7EfjsG/hR9p6nQ+m/oZd6/m//097/u5eJXyZHSrsXrLu4/qxqj3R9KzZm8S4xKLOmUDynI1sGgzACQFWZf+JDNI/7q5Wc0mWLTogzY5DoCscwfJuvRnToCFFarRS9DcPk/Gvo3GTD1fE+aPo34Lf9LU6Xw8ZSl3rt7NN/aj7+fjXcqTYa1GAfDB17MpWb4kALb2NiQnpjCy7Rij5C0YV76NJUmSygMr0fWMVQHaAcckSVooy/IPRslOkrBo0Y/0bZ8jJ8Vh1X82mnshyLFhemFZt4PJPLxJb5nCqzwK7wqkbZwHgGXvd1GUqIT2qeGXurHUCPDFvawXswImUM63IgMWjmJR15kGcaveXkZashqAsd9Mp16HhgTvOknorcd8PWYpgxaNNnbqejRaLYt3nmbV8LZ4OFjT/6tdNKtSivIe2SM2mdGpfvbPm05e52ao7iRQZW7Ggl5NKe3qQGRiKv2+/I2GlXywV1kafT9e8GpRC7tynuxpNA2XOhWou2QoBzvMNYiru2QY56avIebCXd786R08W9Qi/HAIACpvZzwCapDyNNrY6WfTaGUW7w1hVb8meNir6P/9EZpV9KK8m312zKPYZL4/dYt1g5phr7IgNiUNAL8ybvw6siUACeoMOn29j4bl3E2yHy9UC/DFvawn8wImUsa3In0WjmBp19kGcQe/28XtoGsozZVM+ukDqgbU5vrRS3SbNZAz249xZtufVGpYjS7v9GP91K+MvyOSAotOw0n7YQFyYixWYxeTdeMcctRTvbCsK6fI2LXWYPPM4zvJsrDEzM+0J7AvNG7RgFLlStKlUR9q1KnGzCXTGdxhVJ6xs8d/yI2QW3rL9m4/wLYNOwF4s01jps2bwPh+04o875dpNFoWrfqJbxdMw8PFib5TFxBQvzblS+VcIPjs+1/p1KIRXVo25kzIDVas38aiaSMBGNKtLWnpGWz948/8/oRRdW3fmn7dOzNrwad5rj8eFMzjp6Hs2byWy9dusuDTr9j03XISEpP45oef2bx2BQC9h08koEkDHOztjJl+DkmBVc+xpK6cgxwfg/X0z8m6egZt+BP9OEsV5s06o3l4M2eZQoHVwGmkbVyGNvQBWNuBRmPc/PPg19wPn7LeDG06nMq+lZmwaDyTOk/JM7ZxYCPSUtQGy928XKnzZh0inkYUdbp5kyQsAgeR9vMnuuPYsA/JunMBOVr/+nnWjTP5NoQsmnVH+/hWnutMoX4Lf3zK+jCgyRCq1KnClMUTGddpYp6xTds1IS1Vv1zmj1uY/fPY90eTkpRSpPkWJ8VxggdJkpyBzUAZ4CHQS5bluJdiagPfAPaABlgoy/Lmgn73q+5Z2geskWW5nSzLt2RZXg68CbSVJOnk39mRv0rhWRY5Pgo5IRq0GrJuBqMsX/s1t5aRzMxBaQZKc1AokVONfyUmt9pt/AjafhSA+xfvYG1njYObo0Hci4aS0kyJmbkZyLruzrB7z4i4b9SOvTxdfRJNSRc7SrjYYW6mpG2tchy9/jjf+D9C7hNYuywApd0cKO3qAIC7vTXONlbEPT9hNxWfwLo83HIcgJgLdzG3t8bKXb9crNwdMbdTEXNBd9Xp4ZbjlAism73e98OBXF6wKbusTOFqaCwlnW0o4WSDuVJB26olOHpb/8LC9osP6F23HPYqCwCcbawMfs+BG89oXN4TlblpJ8us2aYeZ7YfA+DhxTtY29lg/1J9yUzL4HbQNQA0mRqeXHuAk6cLAJ4VS3D71FUAbgddo2brekbMPoeiRAW0seHIcZGgyUJz+SRmVV4/F+39q8jphidPphIQ2JTft+h6+K9cuIadvS2u7i6vvX1Kcmr2zyprFbKJ6szVO/cp5eVOCU83zM3NCHzTnyNnLurF3H8cRv2aVQDwr1mZI2cuZa9rUKsqNirD+mMq9WrXeGUD58iJ03QObIkkSdSqXoWkpGSiomM5eeY8Df18cbC3w8HejoZ+vpw8c96ImetTlK6ENioMOSYCNFlkXTiGWY0GBnGWHQaQcXArcmZOr5Gych20oQ91DSWA1CSQTX9a17BNAw5uOwTAzYs3sbG3xdndySDOytqKbiO78fMKw1Ewo+eOZu3CtSb7ilF4l0cbG4kcHwVaDZrrpzGrVOf1t/csg2TjgObBlSLM8q9p3KYh+7ceBODGhRvPy8XZIM7K2oqeI7uz8Yuf8v1dAZ3e5NDOI0WWq/Ba3gMOybJcETj0/P3LUoFBsixXAwKB5bnnZsjPqxpLtWVZ1uv7lmU5VJblPoDhZfciINk6IiflDJuRk+OQ7Az3yaxCHawGzsWi4xgkW90BSBt2H82Tm6hGfYpq9FK0j64hx4YbI+18OXq4EBsak/0+LjwWR8+8TzImb5jDsvNrSUtRc27PaWOl+FoiE1PxdLDJfu/hYE1kYt5XVELjkgmNS8a/vJfBuitPosjUaCnpbJ/Hlsaj8nQmNVe5qMNiUXnpf5GpvJxIDc35LKaGxaLy1B1UvdvWRR0eS/wrGozGEJmUhqedKvu9h72KyCT9k+xHsck8ik1m8PqjDPzhCCfvGdaJfdef0q5aiSLPtyCOHs7Eheb01MWFx+DoafhF9oLK3poaLety86Tuy/jZjUfUDvQHoHZbf1R21tg42hZt0nmQ7J2RE3I+X3JiLJKDYb1XVquPasKnWPadluf64sLd05WI0Mjs95Fhkbh5ueYZO+/zWWw68AMjpgzWW95rSDd2Bm1m0pyxfDJneZHmm5+ImHg8XHM+Tx4uTkTGxOvFVCpbkoNBuobDoaALpKjTiE80zRDbwoqIisHTPaecPNxdiYiKJiIqGk93t5zlbrrlpqJwdEEbH5X9XhsfbVAfFCXKIzm6orl+Tn+5uzcgoxo7H+sZy7FoWTzmonL1dCEq17EsOiwaF0/DOjN4xiC2fbeddLX+BcSGbRoQHR7N/RuGw/aNRbJzQk566ThmZ9jgU1b2QzXiIyy7jUeye1G/JCxa9SXj0CaDeFNy9XQlMtexLDosGtc8ymXYjCH8+u1W0tTpef6emvVrEBcVz7MHz4os1+KmmE7w0AVY//zn9UBXg7xl+bYsy3ee/xwKRAJuL8e9LN/GkizLBt8IkiSVlyTpfeCL18u76Gnuh6BeO5O0jR+ifXQdi8BhAEiObiicvVB/9w7qb99BUbIyCp+KJs729S0f9BHT/EdiZmFOlUbVTZ3O37Yv5D6tqpdBqdD/qEUlpjJn8zE+7NkEheLf+yhopcqCqhM7c/WTvMfUFzcarczj2GTWDHiTJW/5M3/3RRLTMrLXRyWpuRuVQMNyHibM8q9TKBUMWzGJI+v+IOaJ7stv+8KNVKxflZm7P6Zig6rEhcWg1Zr+KnNesm6eQ710HOovp6O5G4Jl9/GmTqnQZr/9Ib1bDGZ413H41q9Fh56B2et+XbedLg17s2LhKkZMHvyK32Ja04b15PzV2/SaNI9zV2/h7uKEQiGe5W5SkoTlWyNI32E4ZBWFEmW5qqRt+JTU5e9iVrMhykq1jJ/j31Cuajm8Sntxau8pveWWVpb0Gd+bDZ8Vj3t8XiXrziXUX01FvWYOmgfXsOysG55rVq8lmrshyElxBfyG4qd81fJ4l/bmxN78B1S16NL8P9erpC2iVyF5yLL8YjhNOPDKExlJkvwBC6DACQAKHGcjSZI30Bvoh25GvMVAnwK2GQWMAli9ejUDCvoj+ZCT43NdmQDJ1gk5Sf/KH2k5PRpZV49j/qbuSpKygi+asPuQqbsSoHl4FYVXObTP7vzNbP6e5gMDadpXdy/Iw5B7OHvnXCFz8nQmPjwmv03JSs/k0oFgarf24/qJy/nGGZu7vTXhCTn/94iEVNztbfKM3RvygJld9YdQJKdlMGHdAca3rUvNUqa5L6bCkNaU698cgNiQ+1jnKheVlzPqMP2DujosDmvvnM+itZcz6vBYbEt7YFPKjbaHFmdv22b/Qg62+4C0qAQj7EkOdzsrwnP1JEUkqnHP1dME4GGnorqPE+ZKBT6ONpR2seVxbDLVn+/b/hvPaF7JG3OlaU4I3xzYlsbP68ujkHs4ebsCujHuTp4u+U7Q0G/xaCIfhHPk+z3ZyxIi4/h2zGcAWFpbUjuwPurE1Dy3L0ov9yS93NMEgDrn2lTWucNYBBavR9n1GtKNt/p3AuBayA08vHPqrbuXO1Fhhj0RUeG6ZakpavZuP0D12lXYvUV/gp59Ow4yc4nx71cC8HBxJCI65/MUEROHu4v+yAV3Fyc+n/U2AKnqNA6euoC9rbVR8/yneLi5EB6ZU04RkdF4uLni4eZK8MWc75eIqGj8fGvm9SuMQhsfg7ljzoVehaOrfn2xVKHwKoX1BN0xV7J3QjXqfdTfLkCOj0Fz9xpyim7Ifdb1cyhKlEdzO8So+wD/x959hzdV9QEc/96M7kUHHYLsPdtSoAyhLKEIMkSGbJAlewqIIkNBBRmyFJUliOtF9gZZhbKRPcsq3RRKm6Zpct8/UtuGLrA0KXI+PH1I7j1Jf6c3556ce8aFNr3eolVX4wWCq2ev4uGT0WPh7u1ObIRpmansX4ny1cux8sgKlColLm7OfPHLbBZ/vASv4l4s2bEYMM5dWrRtIcPbjORhtPkaH3LCQyTHp85jTzd+Mp/HzuzHqklnAJSvlUVRvAIq/6ZIVjagVCGnaNHt+8UssWfWrldbWnczLuRy+ewVivoUBYxDud293Yl56rhU8a9EherlWReyOu24uPD1r18xqtNYwHihrmGrBgwMHmLWfPxXZW4/pPlWluVvM+3fDXhl81KTCc2yLMuSJOXYWSVJkboz3QAAIABJREFUkjewGugly3mP1c1tgYcBQFfgNeAXoB/wpyzLn+b1pmkZ+ydzctLc43m9JFuGiDAkl6JITu7ITx6iqhiAduty00T2zpBo/FKqLFMTQ9pQO/lxHKpqDUkN3QaShLJYeVJP7f5XceTHvtXb2bfa+AWhWpAfTXq1InTjYUr7lkOTkMSjaNPGn7WdDTb2NjyKjkehVFC9iR9XQy+ZPe7cVCnmzp3Yx9yPS6Cokx07zt7ks66NsqS7FRXPY00KNTI1iHSpekav3stbfmVpXq2kGaM2dX3FLq6v2AWAd9OalOvbgjsbQnDzK4suQUNylOlxSY6KR5egwc2vLLGnrlOyU0Oufb+DR5fv8me1jJPkW6Hz2NnyI4ushlfFpwh34p5wPz6Roo627Lh4j8/amd5bOqiCN9su3KNdjZI8TNJyO/YJxVwyGrrbL9xleJDlejIPrN7BgdU7AKga5EujXi05sfEwJdPKy+OnygtAmzGdsXW046cJpiuA2RdxJCn+CbIs8+aQ9oT8Ypkrf4b711G4eSMVKYr8OA5l9fpofzHtnJccXdIvBCkr1cIQdS+7t7KYX1b8wS8r/gCgQdNAOvftyI4Nu6nmV4UnCU+IiTJt/CmVShydHYiPe4RKpaRh83ocO2gcMlW8VDHu3jLmr2GzeumPza1KuVLcDo/kXkQ0nm5F2H4glFljTReqePgoAWdHexQKBct/3Ur7Zg0sEuuL0LhBXdb9volWzRpx7sJlHBzs8XB3pX4df+YvW8GjxwkAHAk9xchBfSwWp+HOVRQePkiunsiPYlH5vUHyyi8zEiQnkTjpvfSntsM+R7vhewx3r2OIeYBV0w6gtga9DmXZqqTs25DNbyl4m1ZuZtNK42pxtZsE0LZ3G/b/+RcVfSuSlJBIXJRpQ2Pz6i1sXr0FAM9iRZm24lPGvzsBgM6+XdPTrTyygmGth5t9NTxD+E0Urp5Izu7ICQ9RVq6LdsMSkzSSgzPyk7TvY+X9MMQa51hr/8w4N6uqN0DhXcoiDSWADSs3smHlRgDqNqlNuz5vs/fPfVTyq0RiQiJxUaYX5Dau3szG1cbj6FnMk89XTE9vKAH4N/Tj7o27xGRzwei/zFBAA4Keaj9kt79ZTvskSYqUJMlbluUHaY2hqBzSOQFbgMmyLD/TPJfcepa+AUKAbrIsn0j7BeadWigbSNm3FuuOI0GSSD1/GDk2HHW9thgibqO/eRa1bxOUpWuCrEdOTiRlu3GhPv21kyher4hNz6mAjD7sAvqblu2d+XvfKaoF+fHZX9+QotHy47jF6fs+3vol04LHYW1nzdDlH6K2UiMpJC6HnOevn3YC4PtmbbpO7YejqxMjfpjInUthzOs5w+z5UCkVfNi2LoN/2InBIPN2rXKU9SzC4p2nqFzMncaVXweMvUota5RCkjJK1c6/wzh1K4L4JC0bTxoXS5jWqQEVfSw3R+PBnjN4N61J65C5pGpSCB21LH1fi12fsbP5JABOTvyROvMGorSx4sHeszzYa/6rlblRKRR8+GZNBq87bDwuNUpQ1sOJxX9dpLK3C43L+1CvtCchN6PosGwXCkliVNOquNgZVyK8H59IxGMN/iWyn39ibuf3naZKkB+f/rWAFE0KqzOVl4lbv+Dz4PG4eLnSalhHIq7f48MtswH4a+V2jqzfS/m6lXl7fDdkWeZ66CXWf5zNsB1zMBhI2fQ9Nr0nG5fcPbUPOeoe6qadMdy/gf7yCVSBwagq1kI26EHzBO3vi9JfbvP+NBQerxmX3R2/lJQ/lqC/brnP3qE9ITRoGsifIetJ1iQzddRn6fvW7fqRrs37oLZSs2jdXFQqJQqlkmMHT/C/NZsA6Ny3I3Ua1iJVl8rjRwl8PHxmTr+qQKmUSiYNeo/Bn3yN3mCgXbMGlC3xGovWbKByuZIE1anJ8fNXWLDydyRJwq9KeSYPzviS3mvCLMLuPSApWUuz3mP5dHhv6vtZ7kLDuE9mcfz0OeLjH9O0XXeG9OtBamoqAJ3bt+aNwAAOhhyn1bt9sbWxYfok42pszk6ODOzdlS79jcufD+rTzXIr4QEYDCT/thS7IdOMS4cf3YUh4g5Wwe+hv3MN/fnQnF+rSSRl3wbsxs4FGfQXT2SZ12QJoXuPE9AkgB8P/YBWk8ycMV+n71u8/RuGtHwJht3KBlJ2rMKm63hQSKSePYAccx/1Gx0wPLiF/tppVLVaoCrvi2wwGM9jm76zdNS5Oro3lDpN6rDm0Eq0yVpmj85YSfK7HUufaRnwJm2D2LPh1RqCV4htBHoBs9L+//PpBJIkWQH/A1Y9vS5DbqScViKSJMkD6Iixd8kLY+9Sb1mWiz9n8HLS3Pef8yWFj91oY6HvX/IdC0eSf8vDjJ8Pzf8Kxz1b8sO2vXGxk/Xe7+WRsvDr/MC40o5mVdbl5F82tj2NQ2SGlHzXwpHk3+Iw4xXQxMmdLBxJ/tnP/BUAP++Xt4fkH6ceGO+np716yMKR5J91eePx0MXctHAk+ad2N943L2H4WxaOJP8cFxh7FN4s3srCkeTfjrvbAEic2dPCkeSf/WTjPQ6DihWO2ynkx757uwBeuonbH5XsViCdJzPC1v7rv4UkSW4Y2yqvA7cxLh0eJ0lSLWCQLMv9JUnqDvzIP2MvjXrLsnwm6ztmyK1naYcsy37AUkmSimGctxQpSdIl4H+yLE/6txkSBEEQBEEQBOHlY7mbpORMluVYoGk2208A/dMerwHWPO975zaLO711J8vyPVmW58iyXAtoC1j2xjiCIAiCIAiCIAgFLLeeJQ9JkkbnsO/lvNGEIAiCIAiCIAj/WuG8CUfBya2xpAQcyH4sZWHsgRMEQRAEQRAEQXhhcmssPZBleZrZIhEEQRAEQRAEoVAzvGJ9Jrk1ll661TkEQRAEQRAEQSg4r1ZTKfcFHrKsKCEIgiAIgiAIgvCqyLFnSZbluJz2CYIgCIIgCILw6nnVFnjIrWdJEARBEARBEAThlZXbnCUAJEkqCnwAVEnbdAFYLMtyZEEGJgiCIAiCIAhC4fKqLfCQa8+SJEn1geNpT1el/QAcS9snCIIgCIIgCILwnyTJcs6tQ0mSjgKDZVk+/dT2msAyWZbrPMPveLWan4IgCIIgCILwbF661adHlexSIN/tvw77uVD+LfIahuf0dEMJQJblM5IkORZQTIIgCIIgCIIgFEKv2gIPeTWWJEmSisiy/PCpja48x+IQkY0b/4vQChfP/fsB6FCirWUDeQH+uL0RgPiuQRaOJP9c1u0DYGHx7haOJP+G3V0DwJWKrSwcSf5VuLwNgG4l2ls4kvxbe/t/ANwPbGLhSPLvtZC9AEwo2dXCkeTf7LB1ACSMbGPhSPLPcd4mABKGv2XhSPLPccFmAHQxNy0cSf6p3UsDMLPEexaOJP8m3/4JgPjO/4F6f72x3q/r09iygbwAR8P3WzoE4Rnk1eD5GtgpSVIjSZIc034aA9vS9gmCIAiCIAiC8IqQC+hfYZVrz5Isy99KkhQOTMd0NbwZsixvKujgBEEQBEEQBEEQLCXPpcNlWd4MbDZDLIIgCIIgCIIgFGJizlImkiQtJJfV7GRZHv7CIxIEQRAEQRAEoVB61e6zlFfP0gmzRCEIgiAIgiAIglDI5NVYqiDL8iSzRCIIgiAIgiAIQqH2avUr5b0aXkuzRCEIgiAIgiAIglDI5NWzpJQkqQg53F1YluW4Fx+SIAiCIAiCIAiFkZizZKoicJLsG0syUPqFR/QUq9q1cRw6FJRKNFu2kLR2rcl+u06dsG3dGlmvxxAfz+MvvsAQGQmAw4ABWAcGAvBk1Sq0+/YVdLh56jf1ffyCaqHVaPlm7Dxuns96474pK6dSpGgRFColl0Iv8N2UZRgMBkpWKsnAz4ZgY2dD1L0o5o2Yg+aJxgK5AFWNAGx7DgWFkpR9W9BuXGey36pZG6ybtwODATlZQ9LyORju3walErsB41CWLAdKJSkHd6L9c20Ov8V83vi0ByWa1CRVo2X36G+JPh+WJU3d8Z2o2LEB1s72LKvYP317zfdbUaVLYwx6PZrYBPaM/ZaE+7FmjD6DXQN/PCcPAoWCR79tJ+67X03229aqStGJA7GuUIrwMbN4suNQ+j73MX1xaBQAQOySdSRsO2DW2LPTc2o/agb5k6LRsnTsQsKyKS8TVk7BpWgRlColl0Mv8eOUb5ENxrV6WvQOpkWPVhgMBk7vPcm6z1eZOwsAWNcNwHnkUCSlgsSNW3my2rS8OHR5B7u2waDXo49/RPzML9FHGM9jSs+iuEwci9LTA2SZ2NET0/dZSttPelEhqCY6TQq/jF1C+IUwk/1qGyveWzwStxJFkfUyF/ecZPvsnwGo814zAns0RzYY0CYm88fE5URdv2+BXICyoh82Hd4HSYHu6C5S9vyWbTpV9XrY9p1I4pxRGO5eB0DhXRKbzh+AtR3IBpLmjoZUnTnDN6Gs5IdNhwGgUKAL2UnK7hzyUqMetv0mkfjlyIy8+JTEpvNQsLEFWSbpq1EWzctHn83lwOFQXIu4sGHN0iz7ZVnm83lLORhyHBsba2ZOHkPlCmUB+HPrLpatNH7WBvbqwtvBzc0ae05aTO1JmaAa6DQpbB67jIhs6pjG4zpRrUNDbJzt+bJyv/TtTj5utJk7CBsnOySFgn2zf+bGvrNmjN5IVSMA295p9f7eLWj/zKbefzNTvf+tsd5XN2iGTZvO6ekUr5fmyYcD0N++Ye4smBg9fRiBTeqi1SQzfdQsrvx9LUuaxb/Nw83TFW1yCgAjuozlYWw8NetUZ9S0oZSpVIYpg6exb8tf5g7fosRqeKYuyrLsa5ZIsqNQ4DhiBPFjx6KPjsZ16VK0hw+jv307PYnu2jWSBg4ErRbbtm1xHDiQR9OmYVW3Lqry5Ynt3x/UalznzSPl2DHkpCSLZccvyB/vUj580Ggg5X0rMGDGYD5sNy5Luq8+mJ3eCBq39EMCW9fn8KaDDJk9jBUzf+DisQs0ebcZ7QZ2YN2cn8ydDZAU2PYZQeJn4zDERuM4cym6k0eMjaE0KYf3kLLbeCsulX89bHsMIXHWBNR1GoNKTcKEfmBljdNXK9Ad3oMhxnJf/koE1cCllBerG47B07cMjT/rza9tp2ZJd2vXKc6t2EWPA1+ZbI8+H8b61lNITU6hao+m1J/cle1DvjFT9JkoFHh+/AH3+k5CFxlDiV/n82TvMVJu3ElPonsQRcTEORTp29HkpfaNArCpXIaw9h8gWakpvuoLEg+cwJBoufJSM8gPr1I+jG40hLK+5ek7YyAft5uQJd2CD75KLy8jl46nbut6hGw6ROXAqtRqXpsPW40iNSUVJzdnc2fBSKHAZcwIYkaMQx8VTdEflpB88AipYZnKy9XrJPYZjKzVYt++LU4fDODhlOkAFPn4QxJW/IT2+EkkWxswWPaKXoXGNXEv5cWXjUfxum9Z2s/sx6J2U7KkO/DdZm6GXESpVvL+Tx9RoXENruw/y5k/D3Psp90AVGrmz1tTevBDr1nmzgZICmzeGUTSkinI8bHYjZ5L6vljGCLvmqaztkXdqA36sMsZ2xQKbHqMJnnNXAzhYWDnCHq9WcM3ISmw6TSYpEUfGfMy9mtjXiKyy0vbbPIyhuTVczGE37J8XoB2wc3p1rEtk6Z/le3+gyHHuXMvnK3rv+fchctM/+ob1n03j0ePE1jy41rWf78AgM79htO4QV2cnRzNGX4WZYJq4FrKiyWNxuDjW5aWM/qwot0nWdJd3X2aEyt3MXj/HJPtDYa149Lmo5xaswf3cq/R+cdxLGow0lzhG0kKbPuOIHFmWr3/+VJ0J/Ko93sOIfHzCegO7UZ3yFjmFcVLYT92usUbSoFN6lC8VDE61X+PKn6VGf/5KPq9NSTbtJ98MJPL566YbIu8H8X0kbPoNqhztq8R/lvymrOUI0mSPF9kINlRV6yI/v599A8eQGoqyXv3Yl2/vkka3ZkzoNUaH1+8iMLDAwBViRLozp41nvSTk0m9cQOr2rULOuRc1W5eh/2/G3u3rp6+gr2TPUWKFsmS7p8vfkqVEpVaBbLxy5F3KR8uHrsAwNmDZ6jbKtBMkZtSlq2IISIcQ9QD0KeSErIXdS3T44Im40u2ZG2TngeQjc8VCiQra+RUHbLGcl/IAUq38OfS78YelsjTN7B2sseuqEuWdJGnb5AUFZ9l+/2QS6SmXXWKOHUdey/Xgg04BzbVy6O7E47uXgToUknY+hcOTeuapEm9H4X2alim42FkVeZ1NCfOg96ArNGivXIL+4b+Zow+K//mtTmYVl6un76KnZM9Ls9QXuS0vDXr3pKNi/8gNSUVgMexj8wUuSmryhVJvXcffbjxPJa0ey82b9QzSZNy6gxy2nks5cJFlEXTzmMlS4BSifb4SQBkTXJ6Okup0sKfk38cBODO6evYOtrh6GFaXnTJKdwMuQiAXqfn/oVbOHu5AaDN1BtuZWed5bNoLooS5TDEPECOjQR9KqmnD6CqVidLOuvg90jZ8ztypp4WZQVfDOFhxoYSQFICyJa71qooUR5DdKa8nDqAqlrdLOmsW3cnZfdvyLpMeanol5aXW8YNFs4LQK2a1XJt4Ow7dJS2LZsiSRI1qlYiIeEJ0TFxHD52ksAAX5ydHHF2ciQwwJfDx06aMfLslW/uz7nfjWUm/PR1bJzscMimjgk/fZ0n2dQxsixj7WALgLWjLU+iHhZswNlQlq2IITJTvX9kL+qAZ633M1jVb4ruiOVH+bzxZn22/rYDgAunLuLg7IBb0Wevux/ci+D6pZvIFr54ZSlyAf0rrPJqLM3P/ESSJBdJkvpJkrQHOF1wYRkpPDwwREenPzdER6NMawxlx7Z1a1JCQwEyGkfW1kjOzqh9fVEWLVrQIefK1cuNmPCM/MRGxOLq6ZZt2imrpvLjqdVoEjWEbD0CwN1rd6jdwliZ12tdH3dv94IPOhuKIu4YYqPSnxtio1EUyRqLVfN2OM5bg223gWhWLgRAd+wvZG0yTkt+x2nhz2g3/4KcmGC22LNj71WEJ+EZw+aePIjDwSvrl/JnUaVLI27vN//wCACVpzu6Bxmfr9SIGFQ5fL6e9k/jSLKxRunihF2d6qi8cy5r5lDEy424TMclLiKWIp7ZV2YfrvqYpadWoEnUcGxrCABepXyoULsy0zbMZsr6GZSuXtYscT9N4eGOPiqjvOijYnI9j9m1CUYbYjyPqV4vhvzkCa6ff4rHymU4DR0Iin99jeuFcPJ05VGm4/IoIg6nXC4Q2DjZUampH9cPn0/fFtijOeP/mkfwh934c+rKAo03JwpnNwwPY9KfG+JjkZxNy4uiWBkkFw/0F03voqEo+hrIYDvoU+zGzMOqSQezxJwThYsbhvhMdWV8TA55cc8mLz6AjO3gadiNm4dVU9Ne58IoMjoWr6IZdY5nUXcio2OIjI7Bq2hG2fL0MG63NEcvVx5nKjOPI+Jw9Hz2OubgvD+o2r4Bw44upPOK8ez42PxlRuH6jPV+i3Y4zl+D7XsD0axYmGW/OrAxKUf2FGisz8LDy4OoTN/HosKj8fDK/rz80dcTWLVrOX1G9jBXeEIhk2utK8vyCkmSbCVJ6iJJ0kbgb2AOMB0oZo4An5VN8+aoKlQg8WfjWOWUEydIOXYM10WLcJ4yBd2FC2B4eUZZTu85lX4BvVBbqalWrzoAi8YtoGWPYL7cPBdbe1tSdakWjjJ3Kbs2kDCyO5q132LT3niSUZapBAYDj4e8w+MR3bBu3QlFUW8LR/piVGhfn6LVS3Nq6RZLh/Lckg6f4slfJ3h93Ry850wg+cxl0L885WVWz2kMCeiL2kpNlXrVAGNPk4OLAx+3m8Daz1YyfPFYC0eZN9s3m2FVsTwJP603blAqsapRjUcLlxLddzAqH2/sWr9p2SCfg0KpoNuCYRxZsYO4uxlftEJW7+KLRiPZNmstTYe1t2CEuZAkrNv1Q/vn91n3KZQoS1cmefUckhZMQFU9EGW56uaP8VlJEtbt+6PdkEteVn1F0ry0vJSvYf4YhRxVbhvIud8OsLDuMNb3/oK284aAlO26WxaXsnMDCSPS6v0Opo0LZdlKkKLFcDfMMsH9C58MnUH3pn0Z1G4YNetUp9U7LSwdUqFgKKCfwirXOUuSJK0FGgI7gYXAXuC6LMv783jdAGAAwLJly3j7XwZniI5OH1YHxp4mfaaepn9Y+ftj3707cSNGQKbhBYlr1pC4Zg0ATh99ROrdu1leW9Ba9gymeRdj4bp+7hruPh7AJQDcvNyIi8x5IQCdVsfxnccIaFGHs4fOcP/Gfab1MI5z9i7lg3+TWgUef3YMD2NQuGX00incPEyu0D5NF7IXu37G8dVW9ZuiOxsKej3y43hSr15AWbqCsWvfjKr1akaVrkEARJ29iYNPxlVYB29XnkQ83zCH4g2qUGtYW/7oNBNDimUasamRMagz9QapvNxJzeXz9bS4ZT8Tt8x4scH7q/GkhJl/0n3znq0I6mKckH3z3HVcMx0XVy83HkbmvACnTqvj5M5QarWozflDZ4l7EMPx7UcBuHH2GrJBxtHViYS4xwWbiacYomNMerWVRd2zPY9ZB/jh2Ps9YoaMSj+P6aOi0V27YRzCB2gOHMaqaiXYtM08wacJ7NGc2l2bAHDv7E2cMx0XZy9XHkdkf1w6fP4+MbciOPRD9vGe3RRC+xn9st1X0AyPYlFnujKucHFDfpSpvFjbovAqgd3QzwCQHItg2/8jNMtnIMfHoL9xHjnR+FlKvXgCRbEy6K+dM2se/mGIj0XtkqmudHHPmhfv17Eb9jkAklMRbAdMQfPtdOT4WPTXL2TNy1XL9JA/C08PNyKiMuqcyKgYPD3c8fRw5/jpjGMQGR1DgK9lGrH+PZvj28VYx4Sfu4lTpjLj5OVKQuSz1zE1OzdmXc/ZANw/dR2VtRo7V0eSYs13LjPEPWe9f2Qvdv1N51Wp6wWRcnhvgcWYl4692/H2e28BcOnMZYr6ZJSZoj4eREdkPS9HRxjzmJSoYef/9lDZtxLbfttpnoCFQiOv8RyVgYcYv91fkmVZzzPci0qW5W9lWa4ly3KtAQMG/OvgdFeuoCxWDIWXF6hU2DRpgvbIEZM0qrJlcRw9mvhJk5DjM431VSiQnJyMaUqXRl2mDCknTIcfmMP2VVsZEzySMcEjCd15jMYdjSfP8r4VSEpI4uFTY49t7GzS5zEplAr8m9Ti/o17ADinTVCXJIlOw95lx0/bzZiTDPobl1F4vYbCwwuUKqwCm6A7aXpcFF6vpT9W+dZFH2H84m2IiURVJW3NEGsbVGUroQ+/g7n9vXI3P7eczM8tJ3Nzx0kqdWwAgKdvGVISkrKdm5QT9yolCJrVl81956IxY+X1tOS/r6Iu4YP6NU9Qq3AMbsSTvUef7cUKBQoX4xwB6/IlsS5fisTD5h/rv2vVNiYFj2ZS8GhO7DxGw7TyUta3PJqEJOKfKi/Wdjbp85gUSgU1m/gTnlZeTuwMpXKgsZfJq5QPKrXK7A0lgJRLl1EVfw2lt/E8ZtesCckHQ0zSqMuXxWX8aGLHfYThYcZnT3fpCgoHBxQuxrJv7e9L6q3bmFvI6l3MD57I/OCJXNh5Av8ODQF43bcsyQlJJERnLS8txryLjaMtm6aZrkDoVtIr/XHFJr7EhEUUbPA5MNy5hsLdB8nVE5QqVL5vkHo+NCNBchKJH71H4rT+JE7rj/72FTTLZ2C4e53Uy6dQeJcEtTUoFCjLVM26MIRZ83IVhUemvPi9Qerfx0zzMuk9Ej/tR+Kn/dCHXUHz7XRjXi6dROFTIiMvZatiiDD/Ofl5NG5Ql43b9yDLMmfPX8LBwR4Pd1fq1/HnSOgpHj1O4NHjBI6EnqJ+HcvMvTy5ahfLgyexPHgSV3eeoHpHY5nx8S2LNkGT7dyknDwOj6VU/aoAuJX1QWWtNmtDCbKp9+s1QXcij3r/QaYLbpKEVWBjdEcs11j6fcUGejbvT8/m/flr+yGC3zH20lfxq8yTx4nERple9FEqlTi7Gs+9SpWS+s0CuXn5ltnjLoxetTlLufYsybJcU5KkikBXYLckSTGAoyRJnrIsF/zyZXo9CfPnU+TLL0GhIHnbNvRhYdj36UPqlStojxzBYfBgJFtbnD/9FABDZCTxkyeDSoXrAuOKOIakJB7NnGnxFX5O7j2BX5A/iw8sS1s6fEH6vjlb5zEmeCTWdjZMXP4RKis1CoXE+ZC/2bHGeFW2Qds3aNUzGICj20PY+8tui+QDgwHNigXYT/wCFApS9m/DcC8Mm3f6kHrrCqknj2Ddoj2qav6QmoohMYGkJcbVrrQ7N2A3aAKOX/4IQMpf2zHcyboctDmF7T1DiSY16HloDjpNCnvGfJu+r8v2mfzccjIA9SZ1oUK7eqhtregTuoAL6/YT+vUfNJjcFbWdDa2WDgcgITyWLX3nmj8jegNR05dQ7PsZoFDy6PedpFy/g9uwHiSfv0rivmPYVC2PzzdTUDo54BBUh9Sh3QlrMwhJpeT1NcaVpwxPkngw/kuLD8M7s/ckNYP8+frAErQaLcvGZox//2zrXCYFj8bazpoxyyeitlIjKRRcDPmb3WuMk3b3/7KHgV8OZfbO+aTqdCwZsyCnX1Ww9Abi5yzEfd5sUChJ3LyN1FthOL7fG92lqyQfOoLT0IFIdja4zjT2HOsjo4gb/xEYDDxauBT3hV+BJJFy+SqJf1p2mOflfaepEFST8X/NI0Wj5ddxy9L3jdj6OfODJ+Ls5UrTYe2Jun6f4VuMPTNHVu7k+Pp91OvVgnL1q6FPTUXzKJFfxiyxTEYMBpJ/X4rdoE+Ny20f240h4g5Wrd5Df+ca+guhOb9Wk0jK/g3YjZ4LyOgvnsgyF8isDAaSf1uK3ZBpxrwc3WXMS3BaXs7nkZd9G7AbOxdkLJ8XYNwnszgPN8jYAAAgAElEQVR++hzx8Y9p2q47Q/r1IDXV2GPfuX1r3ggM4GDIcVq92xdbGxumTxoFgLOTIwN7d6VL/xEADOrTzeIr4QFc33uGMkE1GXJgbvrS4f/ov/UzlgdPAqDJxK5UedtYxww7upAzP+/j4Lw/2D3jJ4Jn9ad2v5Ygw6Yxy3L6VQXHYEDzwwLsJz1V73fqQ+rNtHr/zbR6X59W7y/OWOVSVak6hthos48iycmRPUep17QOvx35iWSNlhmjZqfvW7VrOT2b90dtpWb+2i9QqVQolAqOHzzJnz9tBqBSjQrM/n4Gji4ONGgeyPtje9MtqI+lsmN2hXnIXEGQ5OdYiUiSJH+gG9AJuCfLcr08XgIgRzZu/O+iK0Q89+8HoEOJtpYN5AX44/ZGAOLThqG9zFzWGVfVWVi8u4Ujyb9hd41DRq9UbGXhSPKvwmVjA79biUI6H+U5rL39PwDuBzaxcCT591qI8aruhJJdLRxJ/s0OM97jJWFkGwtHkn+O84zLLScMf8vCkeSf4wLjl0ldjGUvgr0IanfjrSRnlnjPwpHk3+TbxtuMxHf+D9T76431fl2fxpYN5AU4Gr4fsr+XaaHWq2THAukGWhn2e6H8W+R1nyUTsiyfBE5KkvQhMLFgQhIEQRAEQRAEoTAyWOiWD5aS65wlSZKcJEmaKEnSN5IktZCMhgJXAcvehEUQBEEQBEEQBKEA5dWztBrjAg8hQH9gEsbuwvayLJ8p4NgEQRAEQRAEQShEXq1+pbwbS6VlWa4GIEnScuAB8Losy8kFHpkgCIIgCIIgCIWK4RVrLuW1dHj6TYvSlg2/JxpKgiAIgiAIgiC8CvLqWaohSdI/i/lLgG3acwmQZVl2KtDoBEEQBEEQBEEoNArzPZEKQl6NJRtZlnV5pBEEQRAEQRAEQfjPyWsY3rE89guCIAiCIAiC8IowFNBPYZVXz1KhvDmUIAiCIAiCIAjm96ot8JBXY8lDkqTROe2UZXnuC45HEARBEARBEAShUMhrGJ4ScAAcc/gRBEEQBEEQBOEVIRfQv/yQJMlVkqRdkiRdS/u/SC5pnSRJuidJ0jfP9N6ynHNwkiSdkmXZ71/EnNmr1VcnCIIgCIIgCM/mpZvy8k6JtgXy3f632xv/9d9CkqQvgDhZlmdJkvQhUESW5Qk5pJ0PeKSlH5rXe+fVs/TSHUBBEARBEARBEApGIV3g4W1gZdrjlUC77BJJkuQPeAI7n/WN85qz1FqSpJFAWeBv4HtZllOf9c3/8U6Jts/7kkLnt9sbAbhULtjCkeRfpWtbAehWor2FI8m/tbf/B8Aez84WjiT/mkauB6BTibctHEn+/Xr7TwBOFX/58+J315iX4SVf/s/YgjDjZyyycWPLBvICeO7fD0CL4i0tG8gLsPPudgDeLN7KwpHk34672wCYWeI9C0eSf5Nv/wSALuamhSPJP7V7aQC6lsj2++NLZd3tDQDEtm5k4Ujyz23LX5YO4b/EU5blB2mPIzA2iExIkqQA5gDdgWbP+sZ5NZa+BnTAQaAVUBkY8axvLgiCIAiCIAjCf0duU3jyQ5KkAcCATJu+lWX520z7dwNe2bx08lPxyZIkZRfkEGCrLMv3JOnZB8/l1ViqLMtytbQAvwdCn/mdBUEQBEEQBEH4TymopcPTGkbf5rI/x94gSZIiJUnylmX5gSRJ3kBUNskCgYaSJA3BuICdlSRJT2RZ/jC3uPJqLOkyBZj6PK0wQRAEQRAEQRAEM9gI9AJmpf3/59MJZFlOHx8sSVJvoFZeDSXIu7FUQ5Kkx/+8L2Cb9lwy/k7Z6ZnCFwRBEARBEAThpfcCFmMoCLOAXyRJ6gfcBt4FkCSpFjBIluX+//aNc20sybKs/LdvLAiCIAiCIAiCUNBkWY4Fmmaz/QSQpaEky/IKYMWzvHdePUuCIAiCIAiCIAgA+b6B7MtGNJYEQRAEQRAEQXgmBbXAQ2GV101pBUEQBEEQBEEQXkkvRc9S36nv4xtUixSNlm/GzuPW+aw3iJu8cipFihZBqVJyKfQCy6csw2AwUKJSSQZ8NgQbOxui70Uxf8QcNE80FsgF2Df0x/OjgUhKBfG/7CD2219N9tsGVMVr8gCsK5Ti/qhZJGw/nL6v6Pi+ODQOAIVE4uHTRE5fZu7ws+g5tR81g/xJ0WhZOnYhYdkclwkrp+CSdlwuh17ixynfIhuMUwNb9A6mRY9WGAwGTu89ybrPV5k7CwC4BtWg/IzeSEoF4T/t5fZC0wVUJCsVVb75AMfqpdE9TOD8gPkk343GprgHdQ/OJelGOACPTl7jyvjllsiCiT5T38cvyB+tRsuisfNzKC+fpB+XS6EX+T6tvJSsXIr3Zw7GylqNXm9g+UdLuX72mgVyAU6NfSk29X1QKohdt4vIxb+b7HeoU5lin/THtlJJbn3wFfFbjwBg9ZoHpb+bCAoJSaUiesUWYtZst0QWTHT8pDeVg3xJ0Wj5aewS7l24ZbJfbWNF38WjcC/hiUFv4Pyek2yavQ6A9lN6Ui6wCgBWNlY4uDvzYfW+Zs8DgFXt2jgOHQpKJZotW0hau9Zkv12nTti2bo2s12OIj+fxF19giIwEwGHAAKwDAwF4smoV2n37zB5/doZ8OpiAJgFoNVq+Gj2H6+ev55j20x+m4v26FwOaDTLZ3nFABwZOGcA71d/l8cPHOby64A3+dBC1mwSQrNEyZ/Qcrp+/kWPaqT98gvfrXgxsNthke8cBHRgw5X06Ve9ssby0mNqTMkE10GlS2Dx2GRHnw7KkaTyuE9U6NMTG2Z4vK/dL3+7k40abuYOwcbJDUijYN/tnbuw7a8boM3z02VwOHA7FtYgLG9YszbJflmU+n7eUgyHHsbGxZubkMVSuUBaAP7fuYtnKnwEY2KsLbwc3N2vsOek1tX963b9k7IJs6/4PV36cqe6/yA9pdf/wb8biXfo1AOyd7El8nMjE4FHmzgIAav/a2A8YBgoFyTu3kPyr6bnMulVbbN5qDwY9skZD4sKv0N+9jap8ReyHjU1LJaFZu4KUkIPmz4AFFdR9lgqrQt9Y8g3yx7uUD8MaDaScbwUGzBjMxHbjsqSb+8Hs9EbQ2KUfEti6Poc3HWTw7GGsmvkDF49doMm7zXh7YAd+nvOTubMBCgVeU4dwp/dkdBExlPp9Hgl7j5Jy/W56ktTwKMInzMW1X0eTl9r6VsLWrzI33/oAgBI/f4ld7Wokhf5t1ixkVjPID69SPoxuNISyvuXpO2MgH7ebkCXdgg++Sj8uI5eOp27reoRsOkTlwKrUal6bD1uNIjUlFSc3Z3NnwUghUWFWX06/OxNteCwBOz4nZscJEq/eT0/i060JuvhEQuqOwLNdPcpO6cb5AfMB0NyOJLRp1nxbirG8eDOs0SDK+Zbn/RmDmZRtefki/biMWTqBuq3rc2TTQbpP7MWv83/mzP5T+Ab5031iL6Z2+cjc2QCFguIzBnKt2yfoHsRSYfNXPNoVSvK1jPKScj+G26PnU3Rge5OX6qIecqXdeOSUVBR2NlTavYBHu0LRRcaZOxfpKjeuiUcpL6Y3HkFJ33K8O7Mfc9tl/bvu/W4z10IuoFQrGfrTFCo1rsml/Wf43/SMCwlv9GpJsSolzRh9JgoFjiNGED92LProaFyXLkV7+DD627fTk+iuXSNp4EDQarFt2xbHgQN5NG0aVnXroipfntj+/UGtxnXePFKOHUNOSrJMXtIEBAXwWikf+jTsS0Xfigz/bCjD247MNm39lvXRJGa92Obh7Y7/G/5E3oss6HBzlZGXflT0rciwz4Yyom32X0Trt6xHcg558XvDz6J5KRNUA9dSXixpNAYf37K0nNGHFe0+yZLu6u7TnFi5i8H755hsbzCsHZc2H+XUmj24l3uNzj+OY1GD7I9pQWsX3JxuHdsyafpX2e4/GHKcO/fC2br+e85duMz0r75h3XfzePQ4gSU/rmX99wsA6NxvOI0b1MXZydGc4WdRM8gfr1LejGo0mLK+5ek3YxBT2o3Pkm7+B19mqvsnpNf9C4Zm/B26f9SHpMeJZovdhEKB/eCRPP5oDIaYaJy/Xobu6GH0dzPOZSn7d6PdthEAdZ162L3/AQkfjyf19i0ejRgIBj1SEVdcvvmBlGNHwKC3TF6EAlfoh+EFNK/D/t+NVx+vnb6CnZM9LkWLZEn3T6FUqpSo1Kr0Vq93KR8uHrsAwNmDZ6jTKtBMkZuyrV6elNvh6O5GgC6Vx1sO4NjUNBbd/Si0V8JAfmpRRllGslYjqVVIVmoklYrU2HjzBZ8N/+a1OZh2XK6fvvrcx6VZ95ZsXPwHqSmpADyOfWSmyE05+ZVFcyuS5NtRyDo9kRuO4N4ywCSNR8taPPjlLwCiNh2lSIOqlgj1mQQ0r81f6eXlKvbPeFxIOy6yDHYOdgDYOdrxMMoyDQz7muXQhkWQcicSWZfKw40HcW5R2yRNyr0oNJdvZykvsi4VOe1zJVmpkRSWP81VaxFA6B8HAAg7fQ1bR3ucPFxM0uiSU7gWYjxX6XV67l64hYuXa5b38m9bj5MbD2fZbg7qihXR37+P/sEDSE0lee9erOvXN0mjO3MGtFrj44sXUXh4AKAqUQLd2bOg10NyMqk3bmBVu3aW32Fu9VoEsuv3PQBcPn0ZeycHXItm/bvb2NnQ8f0OrF2wLsu+QZ8MZPnM5Vj6Ymtgi7rszpKXrOXfxs6GDu93YO2Cn7PsG/jJQL6f+b1F81K+uT/nfjdeqQ8/fR0bJzscirpkSRd++jpPorLWhbIsY+1gC4C1oy1Poh4WbMC5qFWzWq4NnH2HjtK2ZVMkSaJG1UokJDwhOiaOw8dOEhjgi7OTI85OjgQG+HL42EkzRp49Y92/H/h3dX9mdVvX58hGy/TIqMpXQh9+H0OE8VymPbAXdd0GJmlkTcaFHMnGlvRpOlptesNIsrLC4gXfAgwF9FNYWf5bRB7cvNyIDY9Ofx4XEYubp1u2aT9aNZXvT61Gk6jhaNqQnHvX7hDQog4Aga3r4+7tXvBBZ0Pl5Ubqg5j057qIGFQ55ONpmjOXSTp6jnJH1lDuyBoSD54k5cbdvF9YgIp4uREXHpv+PC4iliKeWb9gAHy46mOWnlqBJlHDsa0hAHiV8qFC7cpM2zCbKetnULp6WbPE/TQbL1eSM+VDGx6LtZfpid/a2xXtfWMaWW8gNSEJtaux8rN93YPau2fh979PcKlT0XyB58DVy43Y8IzPWWxEDK45fM4mr5rK8lOrSM5UXlZMW06PSb1ZEvI9PSf34afZq80S99PUXm6kZMqH7kEsaq9nKy8Aam93Ku2cT7XQ74lY8odFe5UAnD2LEJ/pcxYfEYtzNg2hf9g62VG1qT9XD5832V7kNXdcixfl6pHzObyyYCk8PDBEZ5yPDdHRKNMaQ9mxbd2alNBQgIzGkbU1krMzal9flEWLFnjMeXHzciM6Ux0T8yAat2w+a73H9eT3735Hq9GabA9sUZeYiFhuXrqV5TXm5u7lRnSmchPzIAY3r6x1Xq9xPfn9uz/QapJNthvzEmPxvDh6ufI4U3l5HBGHo2fWL+Q5OTjvD6q2b8CwowvpvGI8Oz5eWRBhvhCR0bF4Fc04Rp5F3YmMjiEyOgavohlly9PDuN3SXL1cTeqYuIhYXHOs+z9h6amVJGeq+/9RsXZlHsXEExH2oEDjzYnCzR1DTFT6c0NMNEq3rGXFunU7XJavxa7PIBKXzU/frqpQCefFK3BZ9COJi+a+cr1KcgH9K6yeu7EkSZK7JElSQQSTXzN6TuX9gF6ordRUrVcdgEXjFtCyRzCzN8/F1t6WVF2qhaN8furXvbEuW5xrDXtyrUEP7AJrYFuriqXDemazek5jSEBf1FZqqtSrBhivNjm4OPBxuwms/WwlwxePzeNdCh9t5EMO+X1AaLMPufbJKqosGYYy7Wrmy2Bmz6kMCOiNykpN1bTj0qJ7K1ZM/57Bgf1YMe17Bn8xzMJR/ju6BzFcajGCCw0H4fZOECp3Cw3z/BcUSgW9FgznwIrtxN6NMtnn36YeZ7YeQzYU3krlHzbNm6OqUIHEn429FyknTpBy7BiuixbhPGUKugsXwFCYryVmKF25NN4lfDi8/YjJdmsba7oO7cLKOZaZb/lvGPPizZFs8tJlaGdWzbHMBZIXqXLbQM79doCFdYexvvcXtJ03BArn15b/tFk9P2VIQB+TOuYf9do2tFiv0vPQbtlAfP9uJP24DNvOPdO3p165xKMhvXk0ahC2nd4DtZUFoxQKWq5zliRJqovxjrhxwHRgNeAOKCRJ6inLcrazpiVJGgAMAFi27PkXImjZM5imXVoAcOPcNdx8PIBLQNqV88jYHF+r0+o4vvMYAS3qcO7QGcJv3Gd6D+NYZ+9SPvg1qfXc8bwIqRGxqDL1aqm93EnNJR+ZObaoh+bMFeQk41XAxAMnsPWthObEhQKJNSfNe7YiqItxgunNc9dx9cm4+urq5cbDXK7e67Q6Tu4MpVaL2pw/dJa4BzEc334UgBtnryEbZBxdnUiIM+9k4uSIOGwy5cPaxw1thOmQDe2DOKxfc0P7IA5JqUDlaIcuLgGA1JQnACScu4UmLBK7Mt4knM062bUgvdkzmGZpx+X6ueu4+WR8zty83InLs7yEppWXszTuGMSPU78DIGTLYQbNHlqwwecUV0QsVpnyofZ2QxfxbOXF5H0i49BcuYND7SrpC0CYS8MeLQjsarw/3p2zN3DJ9Dlz8XLjUUT25aXL5wOIvhXB/h+2Ztnn16Yev075oWACfgaG6Oj0YXVg7GnSZ+pp+oeVvz/23bsTN2IE6HTp2xPXrCFxzRoAnD76iNS7lukhb9OrDcFdWwJw5exVPHwy8uTu7UHsU5+1yv6VKF+9HKuOrESpUuDi5sKXv3zBoo8X41Xci6U7lgDG+T6Lt33DsDYjeBhtnqFfbXq9Rau0vFw9exWPTOXG3dud2AjT3oh/8rLyyAqUKiUubs588ctsFn+8BK/iXizZsTg9L4u2LWR4m5FmyYt/z+b4dgkCIPzcTZwylRcnL1cSIp89hpqdG7Ou52wA7p+6jspajZ2rI0mxllt4IyeeHm5ERGUco8ioGDw93PH0cOf46XMZ26NjCPCtbokQad6zFU3SvpPdPHfNpI5x9XIjLs+6/xj+LWrz9yHjIhsKpYLaLQOZ9NaYgg08F4bYGBTuGT3bCncP9LE599ylHNiD/QejSPzadLv+7m3kZA3KEqXQX79SUOEWOmLpcFPfAJ8B64C9QH9Zlr2AN4DPc3qRLMvfyrJcS5blWgMGDHjuoLav2sq44JGMCx5J6M5jNO5oPIGW861AUkIS8U+NP7axs0kfM6tQKvBrUov7N+4BpC8cIEkS7wx7l10/WWZVLM3fV7Eq6YO6mCeoVTi1foOEPUef6bW68GjsAqqCUgEqJXYB1Ui5caeAI85q16ptTAoezaTg0ZzYeYyGacelrG95NNkcF+unjkvNJv6Epx2XEztDqRxovNLkVcoHlVpl9oYSQMLpG9iV9sLmdQ8ktRLPdvWI2XHCJE3MjhN4v9sIgKJt6vLwkLGRqnZzBIXxaqVNiaLYlvZGc9v8k6J3rNrKuOBRjAsexfGdR2mUXl7Kk5SQmGd58c9UXuKi4qhc1zgnq2r96kSEhZsxJxkSz17DuqQ3VsWLIqlVFGnbkEe7Qp/ptWovNyQb41U+pbM9DgGVSL55P49XvXgHV+/ki+AJfBE8gXM7j1O7wxsAlPQtR3JCEo+js861aD2mMzaOdvwxLeuwoaJlfLB1tufWqasFHntOdFeuoCxWDIWXF6hU2DRpgvaIaSNUVbYsjqNHEz9pEnJ8pjwqFEhOTsY0pUujLlOGlBOmZc1cNq3cxOCWHzC45Qcc2RFC847GRm1F34okJiQS99Rcvc2rt9C11nv0rNeL0R3Gcv/Wfca9O56wy2G869uFnvV60bNeL6IfxDCk1VCzNZSMednMkJZDGdJyKEd2hNAsU16SEhKJe6r8b169hW61utOrXm/GdBjD/Vv3Gf/uBMIuh9HZtyu96vWmV73eRD+I4YNWw8yWl5OrdrE8eBLLgydxdecJqndsCICPb1m0CZps5ybl5HF4LKXqG89jbmV9UFmrC2VDCaBxg7ps3L4HWZY5e/4SDg72eLi7Ur+OP0dCT/HocQKPHidwJPQU9ev4WyTGXau2MTF4FBODR6XV/Y0BY92fXR3zdN3v26QW4TcyzsHVGtQg/MY94v7FBbAXJfXqZZSvFUPhaTyXWb/RBN0x07mgCp/X0h+rAwIxhBvrSYWnFyiUxsceniiLvY4hKsJ8wQtml9dqeCpZlncCSJI0TZblowCyLF8210i8U3tP4BfkzzcHlqHVaFk8dkH6vi+3zmNc8Eis7Wz4cPlHqK3USAqJ8yF/s3PNNgAatH2Dlj2DATi2PYS9v+w2S9xZ6A1EfLqE4j/MMC4d/ttOUq7fwX1Ed5L/vsaTvcewqVaOYounoHRywCGoDh7Du3MzeDAJ2w9hH1id0lsWgwxPDpzkyd5n++JYUM7sPUnNIH++PrAErUbLsrEL0/d9tnUuk4JHY21nzZjlE9OOi4KLIX+ze80OAPb/soeBXw5l9s75pOp0LBmzIKdfVaBkvYErE3/A9+dJoFTwYN1+Eq/co/T4Tjw+e5OYHScJX7uPyt8MJfDofHTxTzg/0Dhu2aVuJUqPfxc5VY9skLky/jtS4y20sk+aU3tP4htUi4UHlpKi0bIo03H5cuvXjAsehbWdNROWT04vLxdC/mZn2tLayyYsos/U/iiUSnRaHcs+XGyZjOgN3J3yLWXXTEVSKohdv4fkq3fxHtONpHPXebQrFLsaZSn93USUzg44NwvAe3RXLjUbhk25YhSb0hdZlpEkichlG0i+fDvPX1mQLu47TZUgXz7+az4pmhR+Grckfd/4rbP5IngCLl6uvDmsAxHX7zNuyywADq7cQcj6vYBxCN6pTebtHctCrydh/nyKfPmlcbndbdvQh4Vh36cPqVeuoD1yBIfBg5FsbXH+9FMADJGRxE+eDCoVrguM5dyQlMSjmTONiz1YWOjeUGo3CWDFoR+MS4ePmZu+b8n2RQxu+YEFo3s+oXuPE9AkgB8P/YBWk8ycMRmXwRdv/4YhLS3TU/y8ru89Q5mgmgw5MDd96fB/9N/6GcuDJwHQZGJXqrxdD7WtFcOOLuTMz/s4OO8Pds/4ieBZ/andryXIsGmM5W61Me6TWRw/fY74+Mc0bdedIf16kJpqnA7QuX1r3ggM4GDIcVq92xdbGxumTzKuXujs5MjA3l3p0n8EAIP6dLP4SngAp9Pq/nkHlqbV/Rl19+dbv2Zi8Chs7KwZu3xSeh1zMeQ8uzPdviGwTSEYgmfQk7hkHk7TvwKFAu2urejvhGHbvS+p1y6jO3YEm7c6oK7pD/pU5CdPeDLX2Eegqlwd207dQJ8KBpkni79GfmyZRaos5VVbOlzKLcOSJJ2SZdnv6cfZPc+F/E6JtvmP1MJ+u21cPvJSuWALR5J/la4Zh/d0K9E+j5SF39rb/wNgj2dnC0eSf00j1wPQqcTbFo4k/369bbxX1aniL39e/O4a8zK85Mv/GVsQZvyMRTZubNlAXgDP/fsBaFG8pWUDeQF23jV+kXyzeCsLR5J/O+4aL1TOLPGehSPJv8m3jbcZ0cWYd2h1QVC7lwaga4l2Fo4k/9bd3gBAbOtGFo4k/9y2/AXw0k2oa1qsRYG0lvbc21ko/xZ59SzVkCTpMcYDaZv2mLTnNgUamSAIgiAIgiAIhcqrNmcp18aSLMtKcwUiCIIgCIIgCELhVpiX+S4Ihf4+S4IgCIIgCIIgCJaQ1zA8QRAEQRAEQRAEAAyv2AIPomdJEARBEARBEAQhG6JnSRAEQRAEQRCEZ/Jq9SuJxpIgCIIgCIIgCM/oVVsNTwzDEwRBEARBEARByIboWRIEQRAEQRAE4ZmIniVBEARBEARBEARB9CwJgiAIgiAIgvBs5Fds6XDJDBl+tf6igiAIgiAIgvBsJEsH8Lxq+zQqkO/2oeF/Fcq/hRiGJwiCIAiCIAiCkA2zDMNLGP6WOX5NgXJcsBmANq+//HnZdMeYl6SFQywcSf7ZDVsMwBqf7haOJP+6h68BIGneQAtHkn92I5cBUNrd18KR5N/NmNPAf6u81H+tiYUjyb/D9/cC8GRCBwtHkn8Os/8AIHFmTwtHkn/2k1cBEN85yMKR5J/L+n0AdC3RzsKR5N+62xsA0MXctHAk+ad2Lw2Ajc3rFo4k/5KT71g6hH9FfsUGjeXasyRJ0sv/SRQEQRAEQRAEQfgX8upZ2gD4mSMQQRAEQRAEQRAKt1dtgYe85iwVyolWgiAIgiAIgiAIBS2vnqXXJElakNNOWZaHv+B4BEEQBEEQBEEopF61m9Lm1VjSACfNEYggCIIgCIIgCIXbqzYML6/GUqwsyyvNEokgCIIgCIIgCEIhktecpZTsNkqS1ECSpEUFEI8gCIIgCIIgCIWUAblAfgqrXHuWZFmu+89jSZJ8gW5AJ+AW8EfBhiYIgiAIgiAIgmA5uTaWJEkqD3RN+4kB1gOSLMtmu9ucspIfNh0GgEKBLmQnKbt/yzadqkY9bPtNIvHLkRjuXgdA4VMSm85DwcYWZJmkr0ZBqs5coWdrwKcD8A+qhVajZf7/27vv+CiKv4Hjn7lLT0iAVBI6SAfpXaT3pqBIFQSCIIhIUxEFEVFQREUFFH+KBVB8FFSqFOmhS5VeE9KBhOTS7ub5Y4/kklwSWu4OmDeve3G7O3v5zu3u7M7O7Nz4eZw9ejbPtG8unkpQ6SBGt3sJgGZdmtFvXD9KVizF+O6vcubwGVuFncuOi3HM2XYKk5T0rBbMC/XK5kqz/nQUC/acQwhBJV8vZnWoAcCqE1f5et95AIbVL0f3qiVsGbpV9WcMJKR1bbQA/FMAACAASURBVDIMqewat4j4IxdypSlesyxN5o3Ayc2F8E2H2Df1ewBqjX+aiv1akhKfCMChWT8TselfW4afSVemOi5PPgs6HRlHt5Oxb1225fpqTXBp3guZdB2A9EObMR7bAYBz86fRl9W2Ufqe1RhP7bNt8Fa89d4kWrZtRoohhYlj3ubY4f9ypXF2dmLaB6/RuFl9TCYTH838nLV/bqRBk7pMnTmBKtUeY+zw11nzx992yIHmYTteXnlnNE1aNyLFkMLMcbM5dfR0rjSf/TIXv0BfUlNStXX6TuJ63HWcXZyZ+slrVK5ZiRvXEnhr5DtEXomydRYA0Feqg2v3F0DoSN/7N+lbfrOerkZj3AdOIvnTiZjCz4LeCdenX0QXUgGkJO2PxRjPHbNx9DliLF8Tl/YDQOjIOPQP6bv+zLbcqVZzXFo/h+nmNQAy9v1NxqF/shK4uOE+4n2Mp/aTtu57W4aei9PjDXAfPBp0etI2/UXqyqXZlru07YZrh55gMiFTDCQv+ghT+EWcm7fFrVufzHS60uW5+Vooxot5n2dt5flpw6jdqh5phlS+nPApF47m/nHY1757i6IBxdA76flvz3G+mboIaTLx8vwJlCgfAoCntydJCUm83nmcrbPAm+/NZeuOPRQvVpTff1iQa7mUklnzFrBt117c3FyZOWU81SpXBGDl6g0s/G4ZACOef44endvZNPa8fPTRdDp2bEVysoHhw8dz6NDRbMu9vDzZuDHrujMkpARLl/7GxInTM+f17NmJZcsW0rRpVw4cOGyz2O3pUftR2oKeWfoP2AZ0lVKeARBC2O4IFTrcnhlJ8udvIq/H4THhYzKOhmGKvJw9nas7zk92x3jB4kJKp8Nt4HhSvp+LKeI8eBQBo9FmoVtTr1V9gssGM6JFKJXrVGbkzFFM6DHeatomHZuQkmTINu/iyYu8F/oeL80abYtw82Q0Sd7/5yRf9qhDoJcr/X/ey5Pl/KhQ3CszzcXryXyz/wLf9qqPt5sz8claj84bKeks2nuOH59tiAD6/byHluX88HZztlNuILj14xQpF8TKZuPxq1uBhrMGs7brtFzpGr4/hLCJXxN74CytfphIcKtaRGzWCsYTX63lxILVNo48ByFwadWX1P+bh7x5Dbe+r2M8dxgZfzVbsoxT+0jfsizbPF3ZGuj8S5Hy47vahWDv8RgvHIW0FFvmIJuWbZtTtnxpWjfsQe16NZkx5w2e7jAoV7qXXh1GXEw8bRr1RAhB0WI+AERcucqk0W8z7KXc69jSw3a8NGndiJLlQujTfCDV61ZlwqxXCO32ktW000fP5L/Dp7LN69q3E4k3EunTfCBturdi1JRQ3ho5wxahZyd0uPYcjuHr6cgbcbiPnk3G8b3I6CvZ07m44dKsC8ZLWflwbtgWAMO8cQhPH9xeeBPD/Elgr4eehcCl4yBSfpqNTIjH7YXpZJw+gIyNyJYs40RYnhUhlyd7Ybp00hbR5k/ocH9hLEkzJ2KKi6HIrAWk79uJKfxiZpK0HRtJ+/sPAJzqNcV90CiSZk0mffvfpG/XboroSpXDc8IMh6go1W5Vj6ByJRj35Egq1qnE0HdfZGrPSbnSffLSHAw3tfP+Kwsm07hLU3b9sZ1PR3+YmWbAm0NITkiyWeyWenZuR79e3XljxodWl2/btZdLVyJYvXwxh4/9x4wP57P0q3ncSEjky//9xPLF2uDKfYa+TMvmjfHxLmLL8HPp0KEVFSuWpXr1FjRsWIdPP51JixY9sqW5eTOJRo06ZU7v3PkXK1euyZz28vJk9OgXCAs7YLO4HYHpERvgoaBnlp4GrgKbhRBfCSHaYMPfXtKVqYQp5ioyLgqMGWQc2IpTzca50rl2GUDa3yuQ6VmtRvoqdTFFXNAqSgDJiSBNtgrdqsbtG7Hp100AnDx4Ek9vT4oFFMuVzs3DjZ7De7L8s+XZ5l85c4Xwc+E2iTU/R6MSKOXjTkkfd5z1Ojo8FsiWc7HZ0vx2LJxna5bMvKgr7uECwM5LcTQuVRwfN2e83ZxpXKo4Oy7F2TwPlkp1qMf5FdsBiD1wFhcfT9wDimZL4x5QFOci7sQe0E6851dsp1TH+jaPNT+6oHLIG9HIhFgwGck4tQ99hcdvb13fYIzhp7VjJCMNGXsFfZnqhRxx/tp2epLfftbujh/afwRvnyL4B/rlSte7Xw++/OQbQLuzeS1eazULv3yV/46fxmSy73H/sB0vzTs0Ze2KDQAcO3CCIj5e+AYUv+31n2jfjNW/rAdgy1//UK+5fX73XFeqIqa4q8h48/nl3+04VWuYK51Lh36k/fM7pGc9wisCSmE8cwQAmXQDmZKktTLZiS64Aqb4aOT1GDAZMR7fjVOl2/9edUFlEZ4+GM8fKcQob4++YhVMURGYoq+CMYO0nZtwbtAseyJDcuZb4epmtZLq0qwN6Ts3F3a4t6Veu4Zs+3ULAGcOnsLD25OiVs79typKeic9Ts5OVkcca9ylGTtXbSvUePNSv3bNfCs4m7fvpnvHNggheLxGVRITbxITG8+OsP00aVAHH+8i+HgXoUmDOuwIs/9Ay926tefHH38FYM+egxQt6k1QUECe6StWLEdAgC/bt+/JnPf22xP48MMvSU1NLfR4FfvJt7IkpfxdSvkcUAXYDLwCBAghvhRCtC/04Ir6Yroekzltuh6L8PHNnqZkBURRP4zHs3cZ0gUEAxL3ke/gMXEeLm16FXa4BfIN8iX2atZFUlxkHL5BvrnSDZgwgN8W/U6qwTEPvuikFAKLuGVOB3q5EpOUPdaL15O5dD2ZwSv2MeiXvey4qF3gxdxMJdAra90ALzdibto3n+5BxUiKyLoATYqIxz2oWK40yVfj80xTeUg7uvz9Ho3nDsfFx6Pwg7ZCeBZFJl7LnJaJ1xCeRXOlc3qsLm79p+LSJRThpeXBFHMZfdnq4OQMbp7oSlVGFMl9MreloBIBXA2PzJyOjIgiqET2E1kRb6115tXXX2LVpp+Yv3g2fv63f+FuCw/b8eIf5Ed0RHTmdPTVGPyDcldiAd6YO4lv1y9i8CsDrK5vNJpISkjCp5h34QZthfDxRV7POu7ljTiET/Z9RxdcHp2PL8b/sl/Yma5ewKlaA9DpEMUC0Ido5yF7EUWKIRMt8pIQb/X41VdpgPuwd3F9ejSiyK28Clza9iVt49Jc6e1BV9wPU1zW/mWKi0FXLPd369K+J0U++QH3/iMwfPtZruXOTVqStnNjocZ6u4oHFScuIuvcHx8ZR/FA6+XUa0veZsGB70hJMhC2ele2ZVUaVuNG7HUiL1y1uq69RcXEERSQta0CA/yIioklKiaWoAD/rPn+2nx7Cw4O4sqVrO8yPDyS4OCgPNM/+2x3fvnlj8zp2rVrULJkCdau3VSocToiWUj/HFW+lSUhxLcAUsokKeVPUspuQEngIDC58MMrgBC4PjWM1N8X516m06MvX42UJR+SPG8yTrWaoK90e3fZ7alctXIElSnB7nW7Ck7swIwmyaUbBr56qi6zOtRgxuYTJKba93mxwnLqu79Z2eRV/mo3BUPUdeq+3d/eIeXJeO4whm/eIOXHGZguncClw2AATJdOYDx/FLc+k3HtNAzT1XP261J0B5ycnAgOCeLAnn/p3rofB/cd5vXptu/Lf68exuNl+pj3GNR2GKOeGsvjDWvRsbdjPKNw24TAtetgUv/6NteijH0bMd2Iw33MHFy7vYDx4n9g5xbMgmScPoRh/qsYvn4T4/ljuHYPBcCpfhuMZ/7NdqPlQZC2/ncSxw7A8NMi3J4emG2ZvmJVSEvFdPmCfYK7B+8Pms6oBkNwcnGmRtOa2ZY17f6E3VqVFHjmme78/PMqAIQQzJ49lddee9fOUSm2UNAzS7VyzpBSXgMWmV9WCSFCgVCAhQsX0vcugzNdj8O5aNbdCF1RP+QNiy4oru7oSpTGY8ws7e96F8M9dCqGRTOQ1+MwnjmGTEoAIOP4PnQlK2A8ZdsH7zsP6kKHvh0AOH34NH4lsu66+Ab5EheZvUtNlbpVqFirIl/vWIzeSY+Prw/vLZ/FG31et2nc+QnwdCMqMetZlqibqfh7umZP4+VGzUBvnPU6QrzdKVPUg0vXDfh7ubI/POukHH0zhXohtm/BqDS4LRX7a+OUxB06h2ewL7faMD2Di2OIzH7hYIi8hkeJrDuBlmlSYhMy55/5cTOtllh/Dq2wyaTr2e4miyLFMgdyyJSS1dc94+h2nJtntbhm7F1Dxl6tL7ZLx6GYrtn+ofuBLzxLn4FPA3D40DFKhGTd5QsKDiTyanS29Nfir5OcZGDtn9od5NUrN/BM/562C/g2PAzHy9PP96B7/y4AnDh0koDgrBa+gBL+xETmvksca56XnGRgw+8bqVa7KmtXbCAmMpaA4ABirsai1+vw9PbkxrWEXOsXNnkjDlE0q2Vf+Pgib2S1HuPqji6oNO6h2vNUokhR3Aa/Tsq3szCFnyXtz/9lJnUf9R6mHM8H2ZJMvIYoYpEX7+K5Kz+Gm5lvMw5twaW1NhCCPqQiulKVcarXBuHiBnonZFoq6Zt/tknsOZniY9H5Zu1fOl9/TNfyboVI37kJj2GvZJvn3LQVaTvse7e/3aBOtH5O64Bz7vBpfIOzzv3Fg3yJj4rPa1XSU9PZvz6Meu0bcmS7ds2i0+to2LEJb3S1z/nldgT6+xIZnbWtoqJjCfT3I9Dfj70HswY+iIqJpUGdXJeXNjFixCBeeEG7Kt2//zAlS2YNmBMSEkRERKTV9WrWrIqTk56DB7WuqkWKeFGtWmXWr9celwgM9GfFisX07j30kRjkQT2zlJ2HEKKOEKKutVdeK0kpF0kp60sp64eGht51cKZLp9D5ByOKB4LeCae6Lcg4EpaVICWZpDf6kzR9KEnTh2K8cBLDohmYLp8h48R+dMFlwNkVdDr0FWtgirx017HcrdVL/mJsp5cZ2+lldq/bReterQGoXKcyyYnJXIvOfkJb88MaBjd4nmHNhjK51yQizkc4VEUJoHpgES7dSCY8wUC60cS601G0LJe9m0Sr8v7sM1/kXTOkcfF6MiHe7jQt7cuuS/EkpKSTkJLOrkvxNC2duytiYTv17d+sbjeF1e2mcGXtfsr1bg6AX90KpCUkY4jOXskwRF8nPdGAX13tuYRyvZtzeZ3WNcfy+aZSnepz/WSOB8RtxBR5AVE0AOHtCzo9TpXqYzyb4+aAR1Z3J335xzHdGvxBCHDz1N76haDzC8F08bitQs/0/Tc/07XVc3Rt9RwbVm/mqWe7AlC7Xk0SE24SE5X7omnj+q00bq49P9a0RUPOnMw9ypQ9PQzHy/99t5LB7UMZ3D6Ureu2Z7YSVa9blZsJScRFZ7/w0+t1mV3r9E56mrZtzLmT2vOj29fvpPMz2kVkyy5Psn/HQRvmJIvpyhl0viUQxQK088vjzTGe2JuVICWZpHcGk/zBiyR/8CKmS6cyK0o4u2jnFkD/2ONgNOYeGMKGTBHn0BUPRPj4ab0qqjUm41T271V4+WS+11eqiylOq9ylrlyAYf44DJ+PJ23jUjKObLdbRQnAePY/dEEh6PyDQO+ES9PWpO/bmS2NLigk871TncYYr1o8yysELk1akr7TvpWlDUvW8HrncbzeeRz71ofxRK+WAFSsU4nkxCSu5zj3u3q4ZT7HpNPrqNO6PhFns/JVs/njRJy9QnykfZ9ZzE/L5o1ZtXYjUkr+PXoCLy9P/P2K06xRPXbuOcCNhERuJCSyc88BmjWqZ5cYFy5cQqNGnWjUqBOrVq2jf3/thmHDhnW4cSORyMhoq+s9+2yPzFYlgISEREqWrE3lys2oXLkZe/YcfGQqSuCY3fCEEMWFEBuEEKfN/1u9syiEKC2EWC+EOCGEOC6EKFvQZxfUshQCfIT1QR0k0LqgP3BPTCZSVizAY9Q72tDhuzdgiryES+f+GC+dxnh0T97rGpJI2/w7HhPmggTj8X25nmuytX2b9lG/VX0WbftKGzp8wrzMZZ+s+ZSxnV7Od/3GHZow4p0R+BT34a3/vc354+d5e+BbhR12Lk46HZNbVGbUyoOYJPSoVoIKvl58EXaWagHetCznT9PSxdl1KY6nf9yFXgheaVqRou7aw+vDG5RjwC/aRUlog3L42HFkL4DwjYcIbvM4PXZ+RIYhjV3jshpNO2+Yyep2UwDY8/q3NJ0Xit7NhYjN/2YOD17nzecoVr0MSEnSlVjCJn1jl3wgTaRtXobrU2O14YOP7UDGX8W5cTdM0RcxnjuMc53W6Ms/DiYjMiWZtPXfauvq9Lg9M0H7mLQUUtd9Y/cBUTZv2E7Lts3ZvHcVKYYUJr08LXPZn5uX0bXVcwB8MP0T5n75LlPfnUB83DUmjdHS1apTjS+/m4uPjzdtOrRg7OQX6di8t83z8bAdL7s2htGkdSN+3vEDKYYU3nt1duayb9cvYnD7UJxdXJj702ycnPTo9Xr2btvPqh//AuDPZauZ+ukbLN/+PQnXE3l7lB1GwgMwmUhd+TXuQ9/Szi97N2KKuoxLu+cwXjmbveKUg/Dy0daTEtONOFKWf2rDwK2QJtLWLcGt7yTQCTL+3YqMDce5xdOYrp7HePogTvXb41SpDtJkAsNNUv/4yr4x58VkwvDNp3i+MRt0OtK2rMF05QJuzwwh49xJMvbvxLXDUzjVrAfGDExJiSR/8X7m6k5Va2GKi9EGiHAQBzftp3areszbuoBUQyoLJ2TtL7NWf8zrncfh5uHKhK/fwNnFGaETHN91lL9/WJuZrkk3+3fBm/j2++w9eJjr1xNo03MAo4YOJCMjA4A+T3WhRZMGbNu1l07PvoC7mxsz3tC6RPt4F2HE4L48N2wsAC8O6Wf3kfAA1q7dRMeOrTh+fBvJyQZCQydkLgsLW5NtFLzevbvSo8fz9ghTuX2vARullO8LIV4zT1t7ZGgJMFNKuUEI4QUUeLEjrI22krlQiINSyjp3GfQtMvHlrvf4EfZX5FNtVK5upR/8vPxxSctL8mej7BzJvfMY8wUAPwQPKCCl4xsQ8QMAyfNG2DmSe+fxykIAyvvda/Fhf+ditTv0D9Px0iykcO9z2cKOcK3l4Obkp+0cyb3z+kD7jfekmfYd5v5+8JyyBIDrfWz2c4yFpuhybTS9vmUcq2vv3Vh68XcA0mMdq+X9bjj7lQfAza20nSO5dykpl8CGo0zfL5X86xdKP7xTMfvu+rsQQpwEWkoprwohSgBbpJSVc6SpBiySUja/k88uqBueoiiKoiiKoiiKIwuUUt5qUo4EAq2kqQRcF0L8nxDioBBijhBCX9AHF9QNL1vzlRDCGagBhEsprXfsVBRFURRFURTloVRYw3xbDhBntkhKuchi+d+AtfHdp2SLT0ophLAWpBPwBFAHuAQsBwYDVobVzr5Sfp4WQoRLKY8JIXyAXYARKC6EmCCldIwfZlAURVEURVEU5YFlrhjlOdq2lLJtXsuEEFFCiBIW3fCsNepcAQ5JKc+Z1/kdaEwBlaWCuuE9IaU8Zn4/BDglpawJ1AMmFbCuoiiKoiiKoigPEZOUhfK6R6uAW6NwPA+stJJmL1BUCHHrd4laAwUO/VtQZSnN4n074HcAKaX1gegVRVEURVEURXloOeLQ4cD7QDshxGmgrXkaIUR9IcTXAFJKIzAB2CiEOII2uEaBQ4MW1A3vuhCiKxAONAOGmv+wE+B+d3lRFEVRFEVRFEW5P6SUcUAbK/P3AcMspjcAd/SryAVVlkYAn6I9TPWKRYtSG+CvO/lDiqIoiqIoiqI82KSdf4fR1vKtLEkpTwEdrcxfJ4SoWmhRKYqiKIqiKIqi2Nm9/M7Sq/ctCkVRFEVRFEVRHJ4JWSgvR1VQN7z8PHC/OKwoiqIoiqIoyt2T9z5y3QPlXlqWHq1vSlEURVEURVGUR4rIr3YohEjEeqVIAO5SyttpmVKVKkVRFEVRFEXJ7YHrqVWyeI1Cuba/En/UIb+LggZ4KGKrQBRFURRFURRFURzJvTyzdNt6l+luiz9TqFZcXAXAtV4t7RvIfVDs1y0AtAjJNRz9A2dr+EYATjzW2c6R3Luqp1cD0Ln0g5+X1Ze0vBiWT7dzJPfOvc/bADxTpoedI7l3v1zUftD8coMH/9gvtVc79h+m7dKqZDs7R3LvNl/ZAEDj4Jb2DeQ+2B2xBYC4Lk/aNY77wfevfwBwcytt50juXUrKJQDSY8/ZOZJ75+xX3t4h3JVH7ZmlfCtLQoggi99WUhRFURRFURTlEWZ6xCpLBQ3wcEgI8bcQYqgQoqhNIlIURVEURVEURXEABVWWQoA5QHPgpBBipRDiOSGEe+GHpiiKoiiKoiiKI5GF9M9R5VtZklIapZTrpJRDgFLAN0AP4LwQ4kdbBKgoiqIoiqIoimIPtz3Ag5QyTQhxHDgB1AOqFlpUiqIoiqIoiqI4nEdtgIcCf5RWCFFKCDFRCHEA+NO8TncpZd1Cj05RFEVRFEVRFMVOChoNbyfac0u/AMOllPttEpWiKIqiKIqiKA7H5MDPFxWGgrrhvQZsk49ae5uiKIqiKIqiKLk8atWCggZ42AoMEkLsF0IkmV/7hBCDbBSfoiiKoiiKoiiKXRTUDe954BXgVeAAIIC6wBwhhJRSfl/4IcIL04ZTp1V90gypzJ8wj/NHc/9q85TvplEsoBh6Jz0n9hzj66kLMZlMlKlaltD3RuHm4UbMlWg+GfsRhpsGW4Sdi1Pthni8MBp0elI3/kXqbz9lW+7SvjtuHXsiTSZIMZC04ENMVy4CoC9THo8R4xEeHmCSJEx+EdLT7JGNTC+/8xKNWzci1ZDKrHGzOXX0dJ5pZ/1vBiVKl2Bwm2EAVKxegfHvv4KLqwvGDCMfv/EJJw6dtFXo2Xg+UY/AN0cg9Dqu/7yOuEW/ZFvu3qAGQVNCca1cjvBx75O4dkfmsoBJL+DVsgHoBEk7DhI1Y6Gtw89lxPQRNGjVgFRDKnPHz+Xs0bN5pn1r8VsElQ5iVLtRAAwcP5DG7RtjMpm4EXeDuePnEh8Vb6vQs9lxOoLZq/djkpKn6lbghRbVsy2fs2Y/e89HAZCSbiQ+KYXtbzwDwKqD5/jqn6MADH+yBt3r2P9X0odMG07dVvVINaTy+YRP8ijH3qZoZjl2nMXmcqxstXIMnzkSF1dnjEYTX7+5gDP/5n28FSa3Jg0oOv4l0OlIWrmaxO+WZVvu1a83Xj06I41GTNevE//OHIyR0QCU3L2e9LPnATBGRhM7fqrN47fmYdk2Y94ZRaPWDUkxpPLBuDmcPnomz7TvfvMOwaWDeKFtKABvfTGFUhVKAeDl7cnNhCSGd3jRJnFb8+qMMTRp3ZhUQwozxr3PySO5v9MvVszDN7A4qSnauXDscxO4Fned2o1qMe6d0VSoWoGpI99h81//2Dr8bJzrNcQzdAzodKSs/4uUX7Kf+107dcet61NgMiINBpI++xDj5Ys4VaqC55gJ5lQCw0/fkrZrm+0zkMNHH02nY8dWJCcbGD58PIcOHc223MvLk40bV2ROh4SUYOnS35g4cXrmvJ49O7Fs2UKaNu3KgQOHbRb7LW++N5etO/ZQvFhRfv9hQa7lUkpmzVvAtl17cXNzZeaU8VSrXBGAlas3sNBc7o14/jl6dG5n09gdwaP2o7QFdcMbCTwlpbxgMW+TEKIXsAwo9MpSnVb1KFEumDFPjuCxOpUJfXckr/ecmCvd3Jc+yKwETVjwGk26NGPHH9sY+cEYlsz8huNhx2j9bFt6jHiaZR/ZYdRznQ6P4WO5+c4ETHExFPlgAel7d2RWhgDStv1N2vpVADjXb4rH4Je4+e4k0OnxGDuF5E/ew3jxLMLLG4wZts+DhcatG1KyXEn6NR9EtbpVeXXWWF7sNtpq2hadmpOclL2COnJKKN/O/Z6wzXto3LohL04JZewz420RenY6HUHTRnFp8BTSI2Mp9+s8EjftJu3M5cwkGRHRREyeS/GhvbKt6l6nKu51q3Gu60sAlFk2B4+GNUnec8SmWbBUv1V9QsqGMKzFMCrXqczomaMZ12Oc1bRNOzYlJSkl27wVC1fw/UfaYd19SHf6je3H/DfmF3rcORlNJmb9uY8Fz7cm0Nud/gvX8WSVklQI8MlMM7FTvcz3S3ef5L+r1wC4kZzKwi1H+GlER4QQ9F2whpZVSuLt7mLzfNyilWMlGPPkizxWpxLD3x3JG1bLsdmZ5dj4BZNp3KUZO//YxoDXn+eXT5ZxaMsB6rSqx4DXn2fac2/aOhug01Fs0stEj56EMSqGwO++wLB1Fxnns8qx9JNniBo0EpmaimevbhR9OZS4N94FQKamEdV/hO3jzsfDsm0atW5ISLkQBjQfTNW6VRk362VGdXvZatonOjUnJTl7mfzOqJmZ70dOHUFSYlKhxpufJq0bUapcSZ5p1p/qdasxadY4hnYdZTXt2y/N5L/D2W+0RYVHM+OV9+n3Yh9bhJs/nQ7Pka+Q8OZ4TLEx+Hy8kPTdOzBetjj3b/mb1DXmc3+jpngMf4nEtyaRcfE8N8aOAJMRUaw4Red/Q1rYTjAZ7ZUbOnRoRcWKZalevQUNG9bh009n0qJFj2xpbt5MolGjTpnTO3f+xcqVazKnvbw8GT36BcLCDtgs7px6dm5Hv17deWPGh1aXb9u1l0tXIli9fDGHj/3HjA/ns/SredxISOTL//3E8sWfAtBn6Mu0bN4YH+8itgxfsbGCRsPzzlFRAsA8z7swAsqpQbtGbPl1MwCnD57Ew9uTogHFcqW7dRLTO+lxcnbK7E9Zolwwx8OOAfDvtkM06tTEFmHnoq9YBVNkOKaoq5CRQfr2Tbg0aJY9kSE5672bG5jz4FS7PsYL5zBe1FoI5M0EMJlsFbpVzTs0Y92K9QAcP3ACLx8vfAOK50rn7uHGs6G9WfJJ9gqqlBLPIh4AeBbxJDYqrvCDtxMbOgAAHMpJREFUtsK9ViXSLkaQfjkS0jNI+GsrRdpk30fSw6NJPXkBZI7vXEqEqzPC2Qnh4oxwciIj7rrtgreicfvGbPx1IwAnD57E09uTYlaOFzcPN54a/hRLP1uabb5lq6ubh5vd+iUfvRJHqeJelCzuhbOTng41y7Dlvyt5pl9z5CIda5YBYOeZqzSuUAIfD1e83V1oXKEEO05H2Cp0qxq0a8g/meXYKTxvsxy7VQZICR5e2vHiUcSDa9H2ae1zqV6F9MvhGMO1cix5w2bcn2yaLU3q/kPI1FQA0o6cQB/gb49Qb9vDsm2atW/C+hV/A3DiwAk8vb0obqVMdvNw45nhvfj+k7xvGrbs1oKNKzcXWqwFadGhGatXrAPg2IHjeZ5f8nL1SiRnTpxDmux/99upUlWMEeGYIrVjJnXrJpwbN8+WRlqc+4WbO5nPzqemZlaMhItL5j5nT926tefHH38FYM+egxQt6k1QUECe6StWLEdAgC/bt+/JnPf22xP48MMvSTWXE/ZQv3bNfCs4m7fvpnvHNggheLxGVRITbxITG8+OsP00aVAHH+8i+HgXoUmDOuwIe/TGPpNSFsrLURXUspRffzWb9GXzDfIlLiImczo+Mg7fQF+uR1/LlfbNJdOoWLsSB7fsZ/fqnQBcOX2JBu0bsXd9GE26NMOvhJ8tws5FV9wfU2xWPkzxMegfq5YrnWvHnrh2ewbh5EziNK1FQF+iFCDxmjob4V2UtO2bSF25LNe6tuQX5Ee0xXaJuRqDX5AfcTkuFIZOGsLyhb+QasjegvHZ21/w4U/vM2rqCITQMarHGJvEnZNTkC8ZV2Mzp9MjY3F/vPJtrWs49B/Juw/z2M4fQAiuff8HaWcvF7xiIfIL8iPmatZ2iY2MxS/Ij2s5jpeBEwbyf4v+j1RD7pPVoImDaNOrDUmJSbzW57VCj9ma6EQDQT6emdOB3h4cuRJrNW3E9SQirt2kYflAbd0EA0HeHhbruhOdYJ+ut7cUD/IlLiIr/rjIWIrnUY5NWTKNirUf45BFOfbtO1/z5pJpDJwyBJ1OMOXpyTaL3ZLe3w9jVNb+ZYyKwaVG3j+559mjEyk7sy6ShIsLgd99gTQaSfxuGYZ/duS5rq08LNtGK5OjM6djr2rHfnyOMvmFiYP5edEKUqwc+wC1GtXkWsx1ws+HF2q8+fEP8s92fomOiME/yD/X+QXgzY8nYzKZ2PzXP/xvnk2eDLgjOl8/TLFZ28UUG4Nz5dzHjGuXnrg/9Sw4OZPwxiuZ850qV8Vz7GT0AYHc/Og9u7YqAQQHB3HlytXM6fDwSIKDg4iMjLaa/tlnu/PLL39kTteuXYOSJUuwdu0mXn3VsVqZLUXFxBEUkHW9GBjgR1RMLFExsQRZ3AAK9NfmP2oetdHwCmpZqiqEOGzldQSoktdKQohQ80AQ+xYtWnR/I87Hu4OmMbzB8zi7OFOjaS0APp/4KR0HduaDP+fi7ulORrp9u68VJHXt7yS81J/k7xfi1mugNlOvx6lKTZLmzSRxyhhcGj2BU03H/5mritUrEFImmG1rc18Q9RjUjfnTvqR3g77Mn/4Fkz+aYOUTHJtz6RK4VizF6ScGcbr5QDyaPI57/eoFr2hn5auVp0SZEuxat8vq8iVzlvB84+fZ8vsWug3uZuPo7ty6IxdpW700el2BPxv3QJg5aBqhDQbj5OJMjaY1AWg/oBPfzljMyCZD+fadxYycbZ+bC3fCo1NbXKpWIuH7nzPnXe3ej6jnRxE39T2KvjoKfUgJO0Z45x70bVOhWgWCywSz3UqZfEvrHq3s2qp0J94e/S4D2rzAiz3HULtRLTr1bm/vkO5a6l+/c31YP5L/txD3PlljaGWcPMGNUYO5Me5F3J/pD8726058N555pjs//6x1MRRCMHv2VF577V07R6Uod6bAyhLQzcqrK5C7WcRMSrlISllfSlk/NDT0joPqOKgzc1bPY87qeVyLjsc3OKsWXzzIl7h8umylp6azd30YDdo3AiDibDgzBr7N5K6vsn3VViIvRt5xPPeDKT4GnV9WPnTF/ZFxMXmmT9+xCZeGWlO9KS6GjOP/IhNvQFoq6Qd2oy//WKHHnNNTz/dg8fqFLF6/kLioOAIstot/CX9iI7PfXalerxqVa1Vi+e4fmf/7J5QqX5JPfvkIgI7PtOef1dqDqpv/+IeqtfOsexeqjMg4nCxaG52D/Mi4zS6BRdo3xXDoJDI5BZmcQtLWfbjXyfsue2HpOqgrn635jM/WfEZ8dDz+JbK2i1+QX67tUqVuFR6r9Rj/2/E/Pvz1Q0LKhfD+8vdzfe7m3zbTrFOzXPNtIaCIO5E3sp6ZiEpIJsCitcjSWosueAAB3u5EJmR1a4lKMBDg7V54weahw6DOzFn9MXNWf8y16Gv4BmftZ75BfsQXWI7tySzHWvZqRdgarXK7668dVHzc9sc/gDEmFn1g1v6lD/THaOWuqmvDungP6acN4JCenm19AGP4VVIP/ItLZfvk42HZNj2f785X6xbw1boFxEXHExCc1R3Kr0TuY796vapUrlWJpbu+57PfPqZk+ZJ8/EvWMxs6vY4nOjVn8x9bbJWFTL0G92TJhq9ZsuFr4qKzn18Cgv2Jicx9vowx5y85ycD63zZSzQ7lb0FMcbHo/LK2i87PH2Nc3i0RaVs34tKkea75xssXkSkG9GXKFUqc+RkxYhBhYWsIC1tDZGQ0JUtm3eQICQkiIsL6dVXNmlVxctJz8KD2HG+RIl5Uq1aZ9euXc/LkDho2rMOKFYupW7eWTfJxJwL9fYmMztpOUdGxBPr7EejvR2R01r4YFaPNf9Q8at3wCqosuUspL0opLwKRt96bpwvtluDaJauZ2PkVJnZ+hT3rw2jZqxUAj9WpTHJicq7uEW4ebpl9zHV6HXVb1yf8rPZ8g7ev9kC4EILeY55lw49rCyvsfBnPnERXoiS6gCBwcsK5eWvS9u3MlkZXIiTzvXO9xhivat0gMg7tQV+mPLi4gk6PU/Xa2R4OtZXfvlvJ0PYjGNp+BNvW7aCD+S5etbpVSUpIytVFYuWSP3i6Xh/6NO7P6J5juXzuSuYgDnFRcdRu8jgAdZvX4YqdunwYjpzCpWwwziUDwdkJ7y4tSNy4+7bWTY+IwaNBDdDrwEmPR4OapJ29VMgR5/bnkj8Z02kMYzqNYde6XbTp1QaAynUqk5SYlKsL3uofVjOwwUCGNBvChF4TCD8fntndLrhscGa6xu0bc+Vs3s8JFabqIb5cik8k/NpN0jOMrDtykSerhORKdz7mBgkpaTxeKutk1bRiCXaduUqCIY0EQxq7zlylaUXbt2CsW7KaiZ3HMbHzOPau382TmeVYJZITkwosx+pZlGPx0fFUa1wDgBrNahF5wT7PYKUd/w/n0iHog7VyzKNdKwxbs5djzpUqUvz1ccSOn4rpWtYzfKKIFzg7A6Dz8calVnXSz9u+HIOHZ9v8/t0qhnd4keEdXmTH2h20790WgKp1q5KUmJSrC96q7//kmfrP0bfJQMY8NY4r564w7pmsVv16T9Tl8tnLxF61fbeiX7/9nUHthjGo3TD+Wbudzr07AFC9bjVuWjm/6PV6fIpr53e9k55mbZtw7r/zNo+7IBmn/kMfUhJdoHbMuLZoTXpY9pY9XbDFub9BE0wR2r6lCwwCnV577x+IvmRpTNG2v+G7cOESGjXqRKNGnVi1ah39+2uDHTVsWIcbNxLz6YLXI7NVCSAhIZGSJWtTuXIzKlduxp49B+nde6hdRsMrSMvmjVm1diNSSv49egIvL0/8/YrTrFE9du45wI2ERG4kJLJzzwGaNapX8AcqD7SCnln6CW2ocIBdFu8BvsgxXSgObNpH3Vb1mL91IamGVL6Y8Gnmsjmr5zGx8yu4erjx2tdv4uzijNAJju46wvoftJFXmndvQcdBnQEIW7uLTT//XdghW2cykvz1J3hNnQM6HWmb1mC6fAG354ZgPHOS9H07ce30FM616iEzjMikRJLmzwJAJt0k9Y9f8J69ACSkH9hNxoHbu6AvLLs3htGkdSOW7vieVEMKs16dk7ls8fqFDG2ff1/k2RPn8vI7L6F30pOWksacSXMLO2TrjCYip39JqW/e1YYOX7GetDOX8Bs7gJQjp7m5KQy3mo9R8oup6L298GrVCP+XB3Cu80gS127Hs0ktyv/1BUi4uXU/NzftKfhvFqK9m/bSoFUDFm9bTKohlY8nfJy57LM1nzGmU/5dhIa8NoSQCiFIkyQ6PJr5r9t+JDwAJ72O17rUZ+SSzZhMkh51y1MxoChfbDxMtZDitKxSEjC3KtUogxAic10fD1dCW9ag/0Ltxkhoyxr4eLjaJR+3HNi0nzqt6vPZ1gWkGVL5fMJnmcvmrP6YiZ3H4erhyuSvp2SWY8d2HWH9D1oeFk7+nCHThqHT60lPTWfha1/YJyNGE9dmf4b/px8g9DpurlpDxrmLeI8YTNqJk6Rs3UXRsaEId3d8339LW8U8RLhzudIUe30cmCToBInfLcs2ip69PCzbZvemPTRq3Ygftn9HakoqH7ya1WL01boFtzUMeOvurdj4u/274O3cuJumbRqxYuePpBhSeXfcB5nLlmz4mkHthuHs4swnP83GyckJnV7H3m37WfnjnwBUfbwyHyx+lyJFvWjergnDJwymX6sh9smMyUjSl/PwnvEh6HSkbliN8dIF3Ae8QMbp/0gP24lb16dxrl0PjBnImze5OVc79ztVq4X7M/200W9NkptffIxMuGGffJitXbuJjh1bcfz4NpKTDYSGZlW2w8LWZBsFr3fvrvTo8bw9wizQxLffZ+/Bw1y/nkCbngMYNXQgGRnaYxp9nupCiyYN2LZrL52efQF3NzdmvKE9Q+7jXYQRg/vy3LCxALw4pN8jORLeozZ0uMiv2UsIcVBKWSfne2vT+ZC9y3S/90jtbMVF7e7ItV4t7RvIfVDs1y0AtAhpY99A7oOt4drIbyce62znSO5d1dOrAehc+sHPy+pLWl4My6cXkNLxufd5G4BnyvQoIKXj++XiSgAuN3jwj/1Se7Vj/2HaLq1KPvi/17L5ygYAGge3tG8g98HuiC0AxHV50q5x3A++5t+acnMrbedI7l1KitaDIz029++hPWic/cqD9humDxRPj7KFUltKSr7gkN9FQd3wZB7vrU0riqIoiqIoiqI8NArqhldSCPEpWq331nvM07kfIFAURVEURVEU5aH1qHXDK6iyZPkz5vtyLMs5rSiKoiiKoiiK8tDIt7IkpfzOVoEoiqIoiqIoiuLYHHmY78KQb2VJCLEqv+VSygd/5AZFURRFURRFURQrCuqG1wS4DCwFwngAR+xQFEVRFEVRFOX+kI/YGG8FVZaCgHZAX6Af8BewVEp5rLADUxRFURRFURTFsTxq3fDyHTpcSmmUUq6VUj4PNAbOAFuEEKNtEp2iKIqiKIqiKIqdFNSyhBDCFeiC1rpUFvgU+K1ww1IURVEURVEUxdE8ai1LBQ3wsASoAawGpkspj9okKkVRFEVRFEVRFDsT+dUOhRAmIMk8aZlQAFJK6X0bf+PRqn4qiqIoiqIoyu154AZPc3IJKZRr+4y0cIf8LvKtLD1IhBChUspF9o7jflB5cUwqL45J5cUxqbw4JpUXx6Ty4pgeprwody/fAR4eMKH2DuA+UnlxTCovjknlxTGpvDgmlRfHpPLimB6mvCh36WGqLCmKoiiKoiiKotw3qrKkKIqiKIqiKIpixcNUWXqY+pSqvDgmlRfHpPLimFReHJPKi2NSeXFMD1NelLv00AzwoCiKoiiKoiiKcj89TC1LiqIoiqIoiqIo941DV5aEEEFCiGVCiLNCiP1CiNVCiEpCCIMQ4pAQ4rgQYokQwtmcvqUQ4k/z+8FCCCmEaGvxeT3N83rbK08WsTxlzoPlyySEGGmOcYxF2vlCiMF2jPWm+f+y+cUmhPhWCHFeCPGvEOKUeduUzPk5FtODhRDzze8rCyG2mL+HE0KIQm/6zmf/Opoj3TQhxASLaSchRIwQ4v0c6boKIQ6a839cCDGisPOQk3n7fGQxPUEIMc1iOlQI8Z/5tUcI0dw8/1UhxDcW6foLIf6yafD5EEIYzfvGUSHEH0KIoub5t/bJdy3S+gkh0m/tW47EogyqYjGvoXnfPy2EOCCE+EsIUdO8bJoQIjxHOVHUfjnIYrFNjpn3+fFCCJ15mWVZHCiE+NPiuFht38iz5LVfWSw/JIRYlmNevuWcvQghfC32kcgc+02A+Zh40SJ9EXPZ95h52lkIcUQI0agQY7T8vn8RQoTkE7PLnWwfIcQQi3XTzHk5JIR4X1ica8xprZaDtmaRv3/Nx35Te8SRF5HjnG2el+tcLYToYPHd3xRCnDS/X2JeJ1u5J4QIMy+/JLRz6a11yxZiXqQQ4geL6VvncctrRstYDgkhqgntHGMQ2rn9hHl/GWxe50khxK4cf8dJCBElhAgurLwodiCldMgX2o907QJetJj3OPAEcNQ8rQc2Af3N0y2BP83vBwOHga8t1l8OHAJ62zt/VvIbCvwDlAeigDOAi3nZfGCwHWO7af6/bH6xAd/e+m7N228ccMoi7c0cnzsYmG9+vw7oYbGspr33L4v504AJFtOdgB3AWbK6sjoDEUBJ87QrUNkO2yoFOA/4macnANPM77sC+y2W1QUuAUGAk/nYaAYUNX9GeXvtc3ntg+b33wFTLPbJc8BBi+UjzXmZb++4reRjObANmG6eDgQuAE0t0jQHelrb9xzplWObBAB/W+SrJVll8UJgrEXaWvaOvaD9yjxdFTgChAOeFvPzLecc4WWlzBpp3u/+yZHuWWCd+f3rwEIbft8/Aq/mFfPdbh/zsgu3yjnz9GCyzjV5loN23v865Nw+9n6R45xtnpfvuRrYAtTPMS9buWdtu9giL+bzgrt5upN5+s/8YkE7xxy1mC5vXm8IWoPDZaCMxfKOwCZ7bzv1ur8vR25ZagWkSykX3JohpfwXbce8NW0E9gAheXzGNqCh+Y6ZF1ARbSd3KEKISsBbwEDABMQAG4Hn7RlXHm4rNqn5GIhEK5QKUgK4YrH+kXsJ8jYUuH/loy/wCdoJtol5XhG0Ckec+bNSpZQn72vEtycD7YHUcVaWTQYmSiljAaSUB9AuQF6SUmYAo4DPgdnAN1LKc7YJ+Y7tIvsxnwycEELUN0/3AX62eVQFMJdBzYGhwHPm2aOB76SUO2+lk1Jul1L+bocQ75qUMhrths9oIUTOX2DPeWwftmVsdyDnftUX+B5YD/SwtsJdlHP20hcYD4RYtoJJKX8GEEJMAl5EqzDZyja0c/LtuuPtk4c8y8E7+IzC4A1cs3MMt+OOztV5lHv2shroYn7fF1h6px9gPi++CrwspTShnWss8/Xc3Xyu4tgcubJUA+3uT56EEG5AI2BtHkkk2t3ODmiF6ar7GeD9ILQuhD8B46WUlywWfQBMEELo7RNZvu4ktgNAlQJTwcfAJiHEGiHEuJzdLQpBfvtXBcumeLSLCCBzn2sL/IFWIPYFkFLGo+1fF4UQS4XWjc1ex9fnQH8hhE+O+dXJned95vmYL9hPoOVvdmEHeTfM+1wbch/Ly4DnhBClACNaK5+j6QGslVKeAuKEEPXQvvsDBaw3zmJ/3FzoUd4l80WEHq2VydLnwGIhxGYhxBRH7J6Sx37VB22/yjzO83G75ZzNmY+JElLKPWgXdn1yJBmLVqa/ay7HbBGTE1rl8rZuit2H7WMp33LQxtzNx/V/wNfADDvEcKfu9Fxtrdyzl1vnCTegFhCWY3mfHN3w3PP4HMvjfSnmypIQwhXoDPx6/0NX7MmRK0v5qWC+iI0CrhZwp3IZ2o7sqLX9GcAxKeVyy5nmC48woJ9dosrHHcaW8y5zro8zf+b/0LpV/ILWhWe3ueCxh7NSytq3XsACi2Vdgc1SSgNagdjzVqVRSjkM7YS+B6372zfYgZQyAVgCvHwn65nvANZH61LoXwih3Qt38zEfidZ1bUOO5WuBdmjH+XIcU1+08gjz/7ku8Mx9+U8IIT6xmP2xxf7YyhaB3k9SynVoXVe+QrvAOCiEcJT9y+p+ZW6ljDXfwNoI1BFCFM/ncwoq5+zJsqXV2n7XEbiKdgOpsN36vvehtcwvvs3097p9HJXBfFxXQdsOS6y0zDqUuzhXF1ju2Yr5WrGsOQZrz04utzz3m8/z1mRuIynlPsBLCFEZ7QZAmK1uOii248iVpWNAXncgzpovYisA9YQQ3fP6EPPdtJpo/ZNP3f8w754QoiXQC60rjjXvoXUZcMTC83Zjq4PWWgFgEEK4WCwrDsTempBSRkgpv5FS9kDrTlaYJ+/89q/89AXaCiEuoN2d9AVa31oopTxi7pbTDm3b2ss8tG4PnhbzjpM7z/XQvguA6cAPwEy0u4eOxGA+5sug7XPZusxIKdPQtsd4YIXtw8uf+UKuNfC1ed+ZiPa8yDG0ZyYAkFI2AqYCOVsFHZ4Qojxaq150zmVSyngp5U9SyoHAXqCFrePLQ177VV+ginlbnUXrIpXf8WxZzjmavsBgc15WAbVE1qAOwWg3VRoCnYUQtQo5FoPFhegY83FbYHrufftYKqgctAsp5S7AD8e7UZXL7Z6r8yr37FwhXAV8yL3dPM95vN9qXXLUm/LKPXLkytImwFUIEXprhrkgL3Vr2tzn+DUK7mf9GvBGYQR5t4QQxYD/AYOklInW0kgp/0Mr2LvZMrbbUVBsQvMyWv/mW90k/wEGmJe7o10sbjZPdxRZoxoGoVVCwgsxCwXuXzkJIbzRBoAoLaUsK6Usi3by7iuE8DJXfm+pDVwsjMBvh/nO1s9oFaZbZgMfCCF8AYQQtdEeav1CaKOvdUHrjrMIKCuEaGfToG+DlDIZ7eJuvLkrj6WPgMkOelevN/C9lLKMed8phTaIxga0C1nLUbA87BLhPTC3FC1Ae0Ba5ljWWgjhYX5fBO0m16Xcn2I/OfYrF7SyqabFcd4D6y2B1so5h2F+HtZLShlikZdZZOXlY+A9KeUVtOcwPnfElo273T55yLMcvN9x3wmhjRSnx/zcq6O6w3N1XuXeE7aJ1qpv0AaauKvnooU2Yt+HwGcWs5eiXdu0BlbeY3yKA8p5seEwpJRSCPEUME8IMRltlK8LwCs5kv4OTBNC5HnwSSnXFFqgd+9FtL79X+Y4N+W8KzETOGiroO6QtdjmCCGmol3w7QZaWdw9HAssNF9cCGCJlHKreVl74BMhRIp5eqKUMrKwAr+D/cvSU2ij3KRazFuJdvIdB0wSQiwEDEAS2gnYnj7CotVSSrlKCBEC7BRCSCARrYCPROtSMU5KmQIghBiJ1iWk9m3c/bUpKeVBIcRhtIujbRbzj2Hnu8P56ItWEbX0q3l+H7SLtxC0VplY4B2LdOOEEAMspntKKS8UYqy361YXKWe0u8vfA3OtpKsHzBdCZKDdoPtaSrnXdmHeHov96nUgXEpp+dzbVqCaEKKEeTq/cs6R9AV+yzHvV2C50IY8Lo25K5yU8g8hxHBgENqABw7ldrePlPJqAZ9jtRwsaL1CcusYAu2c+LzUBq5yFB5CiCsW03OBktz+uTq/cm9r7uSFz3xj4NM8FvcR2YeRH4X2/GsFIcRBwA1tf/lUSvmtxWeeEEIkAfullEmFE7liT7eGPVYURVEURVEURVEsOHI3PEVRFEVRFEVRFLtRlSVFURRFURRFURQrVGVJURRFURRFURTFClVZUhRFURRFURRFsUJVlhRFURRFURRFUaxQlSVFURRFURRFURQrVGVJURRFURRFURTFClVZUhRFURRFURRFseL/AWBClRXlGIclAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1152x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# From the above heatmap it's clear that 'RAD' and 'TAX' columns are very highly\n",
        "# correlated, so we have to remove any one column\n",
        "\n",
        "boston.drop(columns = 'RAD', axis = 1, inplace = True)"
      ],
      "metadata": {
        "id": "OYd4s8bUD-lt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "boston.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "zHIVFalAESts",
        "outputId": "a5c7c721-f069-4ead-8a5a-418c38e48670"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-2d312702-0209-425e-a64a-ba2c88d90625\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>CRIM</th>\n",
              "      <th>ZN</th>\n",
              "      <th>INDUS</th>\n",
              "      <th>CHAS</th>\n",
              "      <th>NOX</th>\n",
              "      <th>RM</th>\n",
              "      <th>AGE</th>\n",
              "      <th>DIS</th>\n",
              "      <th>TAX</th>\n",
              "      <th>PTRATIO</th>\n",
              "      <th>B</th>\n",
              "      <th>LSTAT</th>\n",
              "      <th>MEDV</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.00632</td>\n",
              "      <td>18.0</td>\n",
              "      <td>2.31</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.538</td>\n",
              "      <td>6.575</td>\n",
              "      <td>65.2</td>\n",
              "      <td>4.0900</td>\n",
              "      <td>296.0</td>\n",
              "      <td>15.3</td>\n",
              "      <td>396.90</td>\n",
              "      <td>4.98</td>\n",
              "      <td>24.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.02731</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.07</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.469</td>\n",
              "      <td>6.421</td>\n",
              "      <td>78.9</td>\n",
              "      <td>4.9671</td>\n",
              "      <td>242.0</td>\n",
              "      <td>17.8</td>\n",
              "      <td>396.90</td>\n",
              "      <td>9.14</td>\n",
              "      <td>21.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.02729</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.07</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.469</td>\n",
              "      <td>7.185</td>\n",
              "      <td>61.1</td>\n",
              "      <td>4.9671</td>\n",
              "      <td>242.0</td>\n",
              "      <td>17.8</td>\n",
              "      <td>392.83</td>\n",
              "      <td>4.03</td>\n",
              "      <td>34.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.03237</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.18</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.458</td>\n",
              "      <td>6.998</td>\n",
              "      <td>45.8</td>\n",
              "      <td>6.0622</td>\n",
              "      <td>222.0</td>\n",
              "      <td>18.7</td>\n",
              "      <td>394.63</td>\n",
              "      <td>2.94</td>\n",
              "      <td>33.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.06905</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.18</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.458</td>\n",
              "      <td>7.147</td>\n",
              "      <td>54.2</td>\n",
              "      <td>6.0622</td>\n",
              "      <td>222.0</td>\n",
              "      <td>18.7</td>\n",
              "      <td>396.90</td>\n",
              "      <td>5.33</td>\n",
              "      <td>36.2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "  "
            ],
            "text/plain": [
              "      CRIM    ZN  INDUS  CHAS    NOX  ...    TAX  PTRATIO       B  LSTAT  MEDV\n",
              "0  0.00632  18.0   2.31   0.0  0.538  ...  296.0     15.3  396.90   4.98  24.0\n",
              "1  0.02731   0.0   7.07   0.0  0.469  ...  242.0     17.8  396.90   9.14  21.6\n",
              "2  0.02729   0.0   7.07   0.0  0.469  ...  242.0     17.8  392.83   4.03  34.7\n",
              "3  0.03237   0.0   2.18   0.0  0.458  ...  222.0     18.7  394.63   2.94  33.4\n",
              "4  0.06905   0.0   2.18   0.0  0.458  ...  222.0     18.7  396.90   5.33  36.2\n",
              "\n",
              "[5 rows x 13 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Creating features and label variable\n",
        "\n",
        "boston.drop([\"NOX\"], axis=1, inplace=True)\n",
        "X = boston.drop(columns = 'MEDV', axis = 1)\n",
        "y = boston['MEDV']"
      ],
      "metadata": {
        "id": "lt-P62DXKcC-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Splitting data into Training and Test Set\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 42)"
      ],
      "metadata": {
        "id": "YSLPlgiFEVMP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Using StandardScaler to help scaling the data so as to reduce effect of outliers\n",
        "\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "scaler = StandardScaler()\n",
        "X_train = scaler.fit_transform(X_train)\n",
        "X_test = scaler.transform(X_test)"
      ],
      "metadata": {
        "id": "K1rQYfxdE8Ks"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Linear Regression**\n",
        "\n",
        "Linear Regression can be broadly classified into two categories.\n",
        "* **Simple Linear Regression**: It’s the simplest form of Linear Regression that is used when there is a single input variable for the output variable.\n",
        "* **Multiple Linear Regression**: It’s a form of linear regression that is used when there are two or more predictors.\n",
        "\n",
        "**Disadvantages of Simple Linear Regression →** Running separate simple linear regressions will lead to different outcomes when we are interested in just one. Besides that, there may be an input variable that is itself correlated with or dependent on some other predictor. This can cause wrong predictions and unsatisfactory results.\n",
        "\n",
        "This is where Multiple Linear Regression comes into the picture.\n",
        "Mathematically…\n",
        "\n",
        "![image1.png](data:image/png;base64,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)\n",
        "\n",
        "Here, Y is the output variable, and X terms are the corresponding input variables. Notice that this equation is just an extension of Simple Linear Regression, and each predictor has a corresponding slope coefficient (β).\n",
        "\n",
        "The first β term (βo) is the intercept constant and is the value of Y in absence of all predictors (i.e when all X terms are 0). It may or may or may not hold any significance in a given regression problem. It’s generally there to give a relevant nudge to the line/plane of regression.\n",
        "\n",
        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        "\n",
        "\n",
        "So we will be using Multiple Linear Regression as we have more than 2 features.\n",
        "\n"
      ],
      "metadata": {
        "id": "y4xuIA2CobVu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Using Multiple LinearRegression to Train and Fit the Data\n",
        "\n",
        "from sklearn.linear_model import LinearRegression\n",
        "\n",
        "regressor = LinearRegression()\n",
        "regressor.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D7n5NnQXFJjy",
        "outputId": "e5ec677a-bf53-457d-cab3-eec4b5c1e2ab"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LinearRegression()"
            ]
          },
          "metadata": {},
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Predicting the Test Set Results\n",
        "\n",
        "y_pred = regressor.predict(X_test)"
      ],
      "metadata": {
        "id": "q2xe5diZFQtp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Seeing how our Predicted Values are comapared to real values\n",
        "\n",
        "compare = pd.DataFrame({\"Real Values\":y_test, \"Predicted Values\": y_pred})\n",
        "compare.head() # Seeing the First 5 rows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "PToAtmqZs9t9",
        "outputId": "c3944e83-d5e1-4313-f8c3-4d6248633aef"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "      <th>173</th>\n",
              "      <td>23.6</td>\n",
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              "      <td>17.062509</td>\n",
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              "      <td>22.8</td>\n",
              "      <td>24.600272</td>\n",
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              "    <tr>\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c9470718-2fb8-4e5c-8709-6fb5db857c3c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     Real Values  Predicted Values\n",
              "173         23.6         28.208609\n",
              "274         32.4         35.313611\n",
              "491         13.6         17.062509\n",
              "72          22.8         24.600272\n",
              "452         16.1         18.863065"
            ]
          },
          "metadata": {},
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Evaluating the Performance of our Model\n",
        "\n",
        "from sklearn.metrics import r2_score, mean_squared_error\n",
        "\n",
        "r2 = r2_score(y_test,y_pred)\n",
        "mse = mean_squared_error(y_test,y_pred)"
      ],
      "metadata": {
        "id": "3ZO6bjSqFng3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"For Multiple Linear Regression !!!!!\")\n",
        "\n",
        "print('Mean Squared Error : ', mse)\n",
        "print('R Square : ', r2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "72RZp8xwF86S",
        "outputId": "6b831a63-20e8-444e-c9cf-1da8a741066a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "For Multiple Linear Regression !!!!!\n",
            "Mean Squared Error :  26.964454101594814\n",
            "R Square :  0.6323051540564204\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Polynomial Regresssion**\n",
        "\n",
        "Polynomial Regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modelled as an nth degree polynomial in x. Polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x).\n",
        "\n",
        "This is the general equation of a polynomial regression is:\n",
        "Y = θo + θ₁X + θ₂X² + … + θₘXᵐ + residual error\n",
        "\n",
        "polynomial regression on the data to fit a polynomial equation to it\n",
        "\n",
        "![image4.gif](data:image/gif;base64,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ohaSYjaJhYHEwAqjgjdoIJ8dwBi4Ai+T4jXwWDFxUfus4GgjUCjEwBRAYj6BBh4qYAmmAj/KIOKBQAi/oj52BIiG0iYFHkPm4h7tXQgqZj4rGBitQfA+5GRzyfqnARbZYkZrhDdYwECBgAtfHkZfRIUsQABJgBEJAkpwxS98gBEmQ/gjVw5KZQUq0lAFJQAgsSJMlWQ0D0QEP9T08WZLewDsKMATfNJSY8SYc9g1JQD1KaRk6JAlW8A0KYARJ4AOkE5WT0Xen1wIryZWUoUNOF4UoIJaVMW2LdgKqiJaOAY3fcAMw4FVu+RiJRkrfQERmAI91yRiR1gD38w2WoAJd15eOwQiSJhB8kALYaJiLoYKkJhBpYGaOyRi8EwiDAAgO8A1IgATAVpmJUQ2y5jst0AJr4IegSRh2kwc0lJqKkQ1ZZWckMHquiRjQGAxn8Iq1aZtCcoxlwJe7ORjjJJgnIAeoGZx8AYp3Ygcj0InIKRi6FwwZYAOs8JyqKSRVJwVs/mWdgZFClUACdgAN3NmdTScQboACtDmef6F7tjADFKSe67lMJVYChQifybkhsHknUshY9tkXdgMMZqCF/bkXcHkKLrB+A6oXcKlBA5mgdWE3x7AGJtCWDkoXKNJXMDADdFmhD5pFf6ACb8Chd8EMdiMMaRBlIuoWnHAQs6BoqAADMbCRKfoWitADDMAMzLaYhTmjchEIODAQxnAGksSjc+FysyYQo/ACU7ChRNoWHHJzA2EHldikcZFCW/QCFEmlagGKzFYJ/Dh/WroWHIKX1LZAzhmmW2pgpFBEI4mmZgGXxzAHI0CFbiqmBlZMMJCldUoWKZQMfnACcHCPe1oW/ikUC1JQApM0qG8qRH9QAmsQh4oqFrrXf2VwAmcaqWEBl9GYAmfQi5g6FnAZDGsgAo7wqXwKUJWAAlHApKbqFZMKDGvQAn5giK2KFaUkLN+5pLUKFt5AShDkC0J6qbuqFUIUemvgqcO6FWMqJKpwA1WUrF1xZEJyDHoAqGAKrbaaiQJhCjLgAhSKrVUhrQPxCm6wSCsHrtlaWZSQAjOgjuhKFfk0EKwwAyrQee9qFRySDaZ0DMz5BsB5r1FBTQLxBywgA3oKsEehPZqaClJwAvyJsFOhqcJgByjQBtcKsU4BQsz2DZRQRAeLsUqRT8IyCjCgAsIKskpxoabkCqOq/gcJiLJNIX6AIgyfpQZtCrNEwQgD8QAURhCOkAIx8K04WxSKwAiL4AMJRxCi8AIvYK9DqxSu5QM5cCbbqgAZ0Ae0+rRB4ZMNwGkBFqB38H5amxSNQksVRwcmwAY3O7ZBAULCcgtvMAInxbZI0SimZAx9YAJkILR0+xMXKizCsAciIAPd2Ld+G3wDgQw/ywKgIKiG6xONsn0CIQyL6QLp+bhtK0R4awIw8AlZi7k2AUJRFQt7cAIycLmg2xOOYkq/kAcnAAOJmrqQa0mtkAYmgASmILuHa2DbygYcYAaroLuqK7DfoAyfcAMeQAeAVmRWAAsD4ilASgkvUAJz8K8+/vYCIwADfiCj8QG9AaYHJfACf+C4UhYLfjADHlBP5FtzbntJvksGoHCugaYKfeACI4AGn/CyPCeywgIMfsACHAAHa6tnyXAKdZACJ9AGovC522GQiiYQqsCcLOAHoFZuplAHKmACbjAK+ssojWIjk/sJMzACZ5C7B3cMo1CuJAAHoiCeDdy+AxHBKsACe8C9AYcMpkBFI5AGoNDB0eG9AuG/MXACU2DC0RYknaUQyTAKb3ACJ7AGloCszJEiiKQNpvQNorAGr1vD7RYkt6pEBpEMqIAHL4ACZOAH7kocIrVrnEBpAsEKcoACGwSG5ca/eFQQycAKezADJSADeZAK/vJrhaDoPgRBvyxAAmYQCse5b3YMxgXxC5QwBSdQAm6Qv73RIb56JwIgARLQAe1UT1K8dJ7iyAQBDKDwBiwgAlLgCMs7G7OnqQLBAzGZBELQhHtntzCsEKjQB1LgASdQydaLGqKbN8rQCnvwAkdgBISACM4Ve/jFvwthysnnAVOQB6iwyJ+hayA0DZdExipwA3qgABEglNI3yncsELUQySZgxnuwCthMGUAQBA7AALP2ONQiDKeMAkRsCWIbgeZMygWsB2JQAiRwBn8wjpbBBN9gAV5gAQnwDbuwCbvAzTGcB73cUj28hf8MQOhmCn1wAyJQAmOwB6zgw4rhDb2A/gAW8AVfEAZbQFKfUK7p+wetzIbmLJ8IAQyjINByjAR4YAqh7BcMbQHfgAEX6gkI4AVcwNICYQmXkAcvQAIr4AagEMyN6Cg6pkTNoAqUsAYeYAIskAZ/sAomfRdbEAYtvQUIoHAP3AVdUAM0oAEjoAJQzKrJuNEAhseu8AlvwMcjcAN74QBJ/QVg8AUvXcjfgEpwnQEc0ArrG48b/V8FgQyo8AdwoAI0ENca4AesYNWZ6ijLIAu0cAAG4QdzIAYkcAI28AF1udGwfAp6oAduAAMmcAIqAAd/cAlBnRWRK5/a8NtlKRAX8NY0MAIrYAZ+QNa7iV9Y3Q3YIA3aMFJb/n0JeCAFL2ACJBADbuAHoMAKeAgVN71Mvy0NAvEKo+AHbjDCmK0BC/B0/YnVnrIN0iANHPgN5y0HYrABc+0C1UwJQH2xNwE5UEV428ANwD3e08DNyKAKpuAIdCAFI8ABIjADcuAHo/AKNlyhq1vg2wDc0yAN04DQfdAGznoCKFACYuAGevAJo9AKsRDIhtDMKGG3fCPe2oANHx4N0SCerjAKnyDbA+0BHqACUnAHlQDUteopz1AE9OxxyBANyQAMrEBkcqAGM3ACxq0CKjAFdMADPEAIy9wRv53gB37gzz0N2gDi0gANxuBCpmAJfWAHUxAFKuABJYACxz0HfvAJ/q1Q1gjbDWgO4mj+29FgDLCACpfwBw1qAinAAg2hAI7QCpLuCq8g6ZbeCqywCqswCqMACkT2DXugB3OQBmUwA4csAikgAr78AmtwB31gCaagCpDKtg88EPK5TNMQDQY3AB12CqDwCARhywRxBCFwAimgzyZgAndOAswuAiIwAsxeAitwgGaABnKgB3uw56CwCi7+2GHK0UdBDO8XDMRA7sRgDAAuvOq+7uze7u7+7vAe7/I+7/Re7/Z+7/ie7/q+7/ze7/7+7wAf8AI/8ARf8AZ/8Aif8Aq/8Azf8A7/8BAf8RI/8RRf8RZ/8Rif8Rq/8Rzf8R7/8SAf8iI/8iRfjvImf/Ion/Iqv/Is3/Iu//IwH/MyP/M0X/M2f/M4n/M6v/M83/M+//NAH/RCP/REX/RGf/RIn/RKv/RM3/RO//RQH/VSP/VUX/VWf/VYn/Vav/Vc3/Ve//VgH/ZiP/ZkX/Zmf/Zon/Zqv/Zs3/Zu//ZwH/dyP/d0X/d2f/d4n/d6v/d83/d+//eAH/j3GhAAIfkEBRkA4AAsAAAAACADWAKHAQEBAgoDCwsLHAAAARcIAAUYHBwcIwAAKwABNgAAAzEMAAAlAAArBQcqAAAzAAA7AxcwBTEwIyMjLCwsMjcrNDQ0PDw8eBEQXzAOUTo4EEkTNVMVHmQeJGQeE08zKF0oMlUtKFs4HmMsJWQlKWQlJWklKmomJWQqKmQrJmoqK2ssMWksLXEtMHIvKmY0M2wzN2o3NHM0N3c3O3Q7O3s7T08Sa0cLVUQ8Qms8QXo9AABDAQFMAAFUARhQBTFPBgdqBgZ2AhdxBC9wEUlOGllHGllXL1JRJFpcKWVJPHdCFVFwQ0NETExMWENDRERbVFRUWFZXXFxcYlxaRHtDR3pITXZQY2Nja2trd3V5fX19jQ4NjjMPoiIbPII8Q4Q+PoJDRINER4dHS4NLTItMUI5OTYdSVYZVU4xUW4xbVJNUWpdaYopbYZddXaJdYaJeWoxjXZhiZZdlapRsbJtsdJ10XqJiaKZocK5ubadyd6h3eLZ4fMF9gIB+grF+gsJ9BASECAeJBhSOBweZBi6QCQikAhSqBwi7BSioF0+JCAfFDgjJBgXXAwPpBAPxcJqFfLGDfsKBg4ODk5SUmJuYnJychKyEh7eIj7eRlruWqKanrKysrravs7Sztri3u7u7xbCwicaJkM2OjceSmMeYmdWZotCdndCipsqmp9eosdSvrdeyttq2oeGhqeSpr+ewt+e4uvO6wte+wu29sLLHtLPIvNrDvefCvfTCw8PDyMnHzc3N09TT19nX29vb5dbWw+zEyOnIxfjFzPPMzP3M0vrO0ejSzvnS0/TT1P3U2PvY2/7c4f7d2Njo29nx3f3h4+Pj6+jo5P/k5/7o7P/s8/fq8f/u7Oz07Oz48+zw7v/y9PT08//z+v72+PT59v/6////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACP4AwQkcSLCgwYMIEypcyLChw4cQI0qcSLGixYsYM2rcyLGjx48gQ4ocSbKkyZMoU6pcybKly5cwY8qcSbOmzZs4c+rcybOnz59AgwodSrSo0aNIkypdyrSp06dQo0qdSrWq1atYs2rdyrWr169gw4odS7as2bNo06pdy7at27dw48qdS7eu3bt48+rdy7ev37+AAwseTLiw4cOIEytezLix48eQI0ueTLmy5cuYM2vezLmz58+gQ4seTbq06dOoU6tezbq169ewY8ueTbu27du4c+vezbu379/AgwsfTry48ePIkytfzry58+fQo0ufTr269evYs2vfzr279+/gw/6LH0++vPnz6NOrX8++vfv38OPLn0+/vv37+PPr38/w2zdNSwhkwBO48GfggSBxEwUAEghkxQSTICjhhBfxAUAWFGao4YYcdhiSJOBIoo1Akuzi4YkdRgFOJA0O9ASKMFL4BAAAWLCLNrpUAI4VMfZo4BIAGEAQNOAA4OOR+UEBgBQEfQMkJ0hGSZ8jAFzRpJKZSKklfJ4IkEGTEwCgy5ZksvdNmFCC8w0l4LRY5pvnfbOLAAA8gQUT4AgwJpx8kuffMzyCY0AUvfRp6KGIJqrooow26uijkEYq6aSUVmrppZhmqummnHbq6aeghirqqKSWauqpqKaq6qqsturqq/6wxirrrLTWauutuOaq66689urrr8AGK+ywxBZr7LHIJqvsssw26+yz0EYr7bTUVmvttdhmq+223Hbr7bfghivuuOSWa+656Kar7rrstuvuu/DGK++89NZr77345qvvvvz26++/AAcs8MAEF2zwwQgnrPDCDDfs8MMQRyzxxBRXbPHFGGes8cYcd+zxxyCHLPLIJJds8skop1zdJiorWwkILR9LAQEEKBAzsahMsUIf0ex5s688gEOFCmqAM803Pv+8qxBDuCADOMBw4w03Svd6iBJKRADOAgs4YU3VuyowRBFEQKADEIL8Afaul5zAgc0LAGHIImvH+s1BwaShQv4etWxCiQOE0F33rZioQMMran5T6OC3wjIGCpUYvY1/jN9qiQlgwALO1JRXTmswY3xgiUDefEO157SO4sIXmpfeOeqxDpPGCY8IxI3Ud8Me6ykxyNDK5v7lrjuseJQwB+nBDw/rL1S4wAryryvPKigmmHEM8NwIL/2qycBxgh4CBa/99qm6IsMMqtgePfmpWqJCGsiofzr7qSLzhguXQD8//afaMkMMiEvc+vhHKlCUAA0DSR4BUTWHEYAPeANcYKh+QYMYpA8c2YugBD+FihiAIRjhU+AGR2WJDtghgRocYafQMAJRoHB8KvRUMJIwgwDywhO92F8MPaUKGJQhfv4CQQACdiiqR5zgeANJgBaIGKoGjk4gvjjABZj4qUt4oQWrGAg3PkFFULnAA0QI4Td80UVOhUABRVBCD0KYvTJyKgJIUMIgBpJDGLqRUs4oAxKEUAhwLIIQDPDEHTWVDDHAYCCLUAQgGDDITN3ifL8QyA+A8AMdNBJTq2hBGIAIDgY44JKYEkUJ4oBCZswClJaqRAry8EJUWioOKRhFArthR1c2ShlmaMHvBMIMWjTDlpMSRhhmEEmBOKEBwJzUL2aQg2EQ5AE/SGakUrGCMygjfL1gpDQhdQoUxOGaavJGJ7YJKUu4gJVi5AU5HYWHFeRPjLVcJ5+UAQcXnAKF6v6UJ6P0FkA1XcMJ+lwUMcDwgmJiMJ4BfZMwaEADYWhRcQlN1CtaIIZkPFSHEYXTKt63jPC5LqOHIoUJSAlPkBpKFCnAwwsRalIkPUIEkStpS+H0iBS4UKYzLZMdRmCKVub0TXEoASl8+lMypYEFWVQfS4uKImWMIQauSGAbmaolZUxBBgYVIVWRJIwcTAGEYtyqlFJBg2YSVaw+IoAHXHDBxIEIrT6CQASOUIQmmQ6uR4oAIhAhBKliFK8nOgIi+igQWqQQsBrCRAiG0FeBMIAZf0XshkahAhc80wlLlSyCRrEClQ6EAV7TLIpEiU5w9JIZmRUtfy6BgieqKYOq9f6QJU7gWvHFtkOVQAEoUDjV22roDiC4Z1h9u6E7rEC4Akwtce2jBhWU4qHKXW59IuBcLfZWuggKhBJCcFMBYpdCSgjjWb9rIA8YgSAfJS+CxqAC5GpVvfpBxhle0M/3wjc/Y1iBLMZ73/s4w5D7HW5/9VOGGQCDvwOmz39h4FABJ9g+zqBhg7374PsY4wtJAOtro1vh8ygDDDJwpkc53OHyEGMKMxAxhUs8n2RMYQoTti+L3UOMHCTBGDidMXyOMYMvWDS5OpZPCGhQhes5OMjs6UEPPLCCH68Yye3xAdmaNDUovycQiMiaGL1hZff4QAl8HQgtSdxl7hChCGs8cv6Zz9ODEIRgIF477JrFUwQXgBO1cp4zeIoQggZnkMx6tg4qXJAEZ7AR0IGmTjBoUNHw3Q7RiZaOMGYABnDKONLgucUMxGBoIGOaPMKQgRjA6TpIf9o5t4gBFSx96VNvRxgxCAOr8+xq67wiBmP4sW1rDR4InAAMQPTP7XgNHh8Q4QMrJfZ3DoEI8T5Z2dsRQpYhoFRTQ9s4BDgztTHb6mtPRxUuCEEAwOGEa9Da28/5RQzOkNTJWRvdw4EFC8wwa3hrBxi4Hgjn7J2dW7zADB096Lv5/RtbsIAMCCY4dGDxAmuqWeHQeQUMzhDwbkN8ObCIgRkSfnHmGDwNHO+4cv7kjcARi1w6rzh4yE9+nFeooOTPZvlyUg7yh8scOa9wAcxLF9mbG8flRVMfl33OnFR8wGbhuwKbiL4cVaiApBtm+nJcMcoElk7qylkFCdqg73NjfTeqMN6hv44cVJTghJ4me3FKYQK0Y/C6ahcOKto+9rgThxQjoMPK7Z6bU5zgDtAbON9Tg/fS4m7wwhmFA/eO+NpEwASG/8bQG9+bQiACCUEXOOV9UwglFAHpf968bwaBBNBbXPSygSPSd4163TxiBEgMfet1gwee1n32uJFDCoaadtzbRgMiIN3teu7716i1CFrjNvGL7xoPKOEQ4AACOJoheOZzxgNF6GsiwP7xAFpY3zZlIIIPwJEIQ/xgAd+nTR5bYFlwEAIQDwBo+mOjDDFg1bEM0Ob8YYOMq4LVG72QJvv3GsqQAzJgZKc3gKTBY2YVcwqYGrDmBUYGWw/YGsAAA5ukVBXYGq9QTWy0fBsYGq9AAkEXPCAYgp+BCiSARKyHgqdBCiuAdi3ogqVBWkJHg6kxW7XjgDgYGnrgAphgcz34GXPwAc8FQUNYGrYQByZwhI+WhKXBBiiQCkIIhZohX/qlgVYYGskABi0QYAm4hZQxQxn2dl4nhpEBaxlYamj4GR0oBtDThp/hdDUXhnIIGaRQdUh4h5xxCR8AeHvIh5qhBynwRBQoiP6ZUTyhUIWICBlqQAJUyDnV14h8oQxnYAJRJXlnSImHcWH3lz1wx4mR8QtJUIZ2KIqHAQsuUAbyg4qVgQooUIKb6IqDIQofgHbpRYuR8Qgo8ECnqIuB4Qx2sDPgUAy5CIyOkQYrMBALYATdgIyPMQxgcEg7AASEoDbQ6BjAwFCoEH2JsAjbl42M0QotQAWOFTiNII6MoToDUQA7IAjhqI6JoQcqIBB/kDZBI4+KUYQ7ODeGoI+JoQxpoAHm+ACAYAjxCJCFIQxUAECm5QDSp5CHcWvmeFASiRiosAIlZzqTeJFpMVvodIweGRh00EJm2JEjWRYR4AEhQIWHmJKAcf4IRRB8PAiTeREIQhBepHN1NgkYPoAEHhCHPekXx4ACSKA14GANsziUbCFfJjA6vLCUTLkWtlBWiCOSU4kXqeACZBAM2/CSWYkXlkACKvVoKBmWXBEHH+BCbIiWeBEMBJVF7uaWebEKLwAGwlANksCTdGkXBsQGy5A9fNmXdKGWo1MNoUiYcDEMYfACWcRzilkXHfQFwdCWkSkXrFU004CVl9kWcUACozM5J9iZZQELOVBD1ACWpMkWqKACYEAM28CZq5kWdzACgPeVZzmbTyEMZ6ACi/iEutkWqNACUwAMuJmbwckUj6ACbJAMqpmcZjEMvXkJ2QCc0JkWdpkEsP6QDbJ5nWJRe9+0DZPjnWvhAruFm+SpFkkADNw5mOk5Fm+AAnCQDHP5nmURDGKAAqYwDbGJnPY5FKegAmIgDOKZmP/JFciwU6wknv55oEBhPjGACtXgDe7poFzhDH3QAQgUm6NpoVMhDGWQAqAgDfXpoV4RCipgjhzaoCaqE8mABimgB85Qoi26FR00BatQoJNXo1mhDHhwAqSEnjxqozQwA6fAn8M2pFpBByVQNNzJokpaE65AAy9wpP0ZpVmRByMActkgpFhaFa0wAy0wCptZoV8aFXkQi0Zjpmf6FKhApaXAn2zapkzhDHCAAmyADIgJpXTqEiiaBKqApB3ap/5DIQxoUAJ4gAwcSqhRsQx9gAJTsKaDyqhB8QpTQAJ9sAyiSalPYQx2cAJoAAzVMJ6c6hSYAAMyQApyyqelahKwEAZ7owxdOqmtyhN4IAJhAA4kyqq1OhLKEAoxkASjQKIG2qtCoQpgIAKJmg13ZaxIcQxuAKrCwJ+86qwgYQkgkAOkIA3Waa1EAQoxAAOXIA176q1GsQpU0HbIMA1Jaq5DAQtqcECiGpvuWhRzcAJJAA4wkArFWq86EQIuMAPgIJ5V5q9BMQcq8AKgoAzdabA4Aa4jUAmySqoO6xOjgAMocAfGwK606kofEAf9JCWkQAMrQAfKsA3MWlR5IAYfUP4FsoQkp3CpbuCVgrlVscCELHAHmgMjokADHzAH89qx+jQMeyADJnAGyDVZOmMHskCt1UpFqbAGJNACeqBiCJIMljADITAHecmdxDUMehADH2AG3XggldACOTsMXbqjy5UKd7oCOpsfwWAHLQADlbAMoyq0cDUMj0ADJiAGo+Bk8VELcoACMrCw5VphqhAHKMCcZesepMBe5igN7elbusBhyBAKYVACM1AJB5YeyoAJUxCLrUCsTztIl/uLwtAHM3ACYgAKVhsesGAHLAACdHAM1ZC7eltU4vOLrWAHKLACZpC03XEKY1ACXQAKitqu8NW7m3gKaNC4dUAKAYcdwf6gBzKQAmiQCrq7u4jlvM3qEMOguSbwAniQVNSRCmjwATGgB8FArN4bWxw5vxBxDJYwBSXQAnaACuDkHPQ4AnBwCiRKr2UGvhEBC6AABiQgA3lAhcoxCgpguO5Lrv2KZOAbXcBgCVXwASxgB6TAScHBCmqQAipAB6mgo7wGvoM6DH4QBiPQAmgQuL4BDHTwAiQwBuCADJRbwZhmwA+RDJiwBiugAmPwCDtrG6RwBzQwAlRgCcWQDZVLcM7LwwSBDKZQBy2QAkmQB+gLGxEQAkiABHgAC+TasPBmgmYJEbaQB6NLNKKgYajRCnfgAmkkBEKgA0bgDV8pdWY5gwsRDP6ioAYrgAJUYMKCCxqpQAczsMBBGQiFUAhAoH9qhzvzG12r0AdUQAImMAZ60Ar9mxnBAAp6Q8iW8Aun4ABBYAiMIDiNJ2zO+xDDQAp2IAMqAANmcAmxYBmqkAdU8AHvAw7DQLnewAwQ+Y+4d8HKBQyYIAeLvAEaoAEfELud+AqQkAYu4LpcPMAUerrehswRUQM2UAM1sAJV0MBGNhiX0AdrAAMpwAJ1EArD4AxIKpWih8wcJgdUcAIfQANqAAquAMJ1gQFbYAPhrAEv8AEw8AaYAAyU26V7bIX2/BDI0Ap9kAYtoAIrkAN5sNBzEYQ2sAUDXQMboAawoAzC/Ish6P4f2/zKDkEMp9AHVXDQyNsGkIAK0uwVXMAFW4AB4AAKekAGLEAC4iwQOw0Aojp8tHjBEuEMwZDEFj0CKNACZ7DRq3DIWQHSA70BJUADbbBbIDBuW3ABCZAB4YuGHCZs2NAEB4AAB5AB2FDWC6EMq4AJc2AGMEACJBBrdgAJpAALxNCprSAKdfAFMbAC4BzS4BALoxqb0sCUvMAJveDKvQsRwdAKoGAHZBADeL0COFAF4ICU4GDVOaEMwJAKl/AI+BxuI6ACYdAGfkACBDAQA3ADpcbNSWjPpkPFA1EMqRCERIA1nucCLEADadAGd8DXcAALwYAMn1wSw3ALrUAKoP5wB5jdBSlwAieAAjBQBXJQCaNQC8mQDblbDR0FAAMwbkQym70LimgchoGAkz6gAHqgB3iQBmGQxScwAr6MBCFgBOYVB2uwBnRwCZiACadw4KmwCgq+4AyeCqlw4JhwCZVQCXlAB2+ABlSQBDDgAihwAiWQv19ABnagB6GwS5Q7wN9AS+wNUf+5C53QC7V9wbo9EKT9uYPAV0MADnJQBVQwAzCw4YP8ASgAAsGLAh8wyCTwAUJ+5DAwA1RQBWiABnJAB5VA4KewCp8LxdkwDVD8leKpDRS6b0oqf+LzZ1PzZ8QsN4nUEcOADMNADMMQ520O0AYhntuw2ILpOqX2nP6l+mf+4QQPAASAUEnc1ru58A2dwACCsAjgGAQOMAthfjt2PumUHpsEG5thPjWa/mh9bNtoqQgT4QQO8ABdo5TOywSKwwAHuQiGAAQOQH2u7Oe4jdsVGxIA9QOBEJGHxtK13uu+/uvAHuzCPuzEXuzGfuzInuzKvuzM3uzO/uzQHu3SPu3UXu3Wfu3Ynu3avu3c3u3e/u3gHu7iPu7kXu7mfu7onu7qvu7s3u7u/u7wHu/yPu/0Xu/2fu/4nu/6vu/83u/+/u8AH/ACP/AEX/AGf/AIn/AKv/AM3/AO//AQH/ESP/EUX/EWf/EYn/Eav/Ec3/Ee//EgH/IiP/IkX0nyJn/yKJ/yKr/yLN/yLv/yMB/zMj/zNF/zNn/zOJ/zOr/zPN/zPv/zQB/0Qj/0RF/0Rn/0SJ/0Sr/0TN/0Tv/0UB/1Uj/1GB8QACH5BAUZAOQALAAAAAAgA1gChwEBAQIKAxwAAAEXCBMTExwcHCMAACsAATYAAAMxDCo3CQAAJQAAKwUHKgAAMwAAOwAJOQMXMAUxMCMjIywsLDQ0NDw8PEwCAXgREF8wDlE6OBBJEzVTFR5kHiRkHhNPMyhdKDJVLShbOB5jLCVkJSlkJSVpJSpqJiVkKipkKyZqKitrLDFpLC1xLTByLypmNDNsMzdqNzRzNDd3Nzt0Ozt7O09PEmtHC1VEPGFCP0F6PQAAQwEBTAABVAEYUAUxTzQ1UgYHagYGdgIXcQQvcE09T00+WBFJThpZRxpZVy9SUSRaXCllSTx3QhVRcENDRExMTFhDQ0REW0R7Q0d6SE12UEVFYmtra25ucXR0dHd1eX19fY0ODa8XFY4zD6IiG9ITEuoJCcsYIjyCPEOEPj6CQ0SDREeHR0uDS0yLTFCOTk2HUlWGVVOMVFuMW1STVFqXWmKKW2GXXV2iXWGiXlqMY12YYmWXZWqUbGybbHSddF6iYmimaHCubm2ncneod3i2eHzBfYKxfoLCfQQEhAgHiQYUjgcHmQYukAkIpAIUqgcIuwUoqBdPiQgHxQ4IyQYF1wMD6Xyxg37CgYODg5OUlJibmJycnISshIe3iI+3kZa7lpmpoaOjo6imp662r7O0s7a4t7u7u8WwsInGiZDNjo3HkpjHmJnVmaLQnZ3QoqbKpqfXqLHUr63XsrbatqHhoankqa/nsLfnuLrzusLXvsLtvbCyx7SzyMOzxbzaw73nwr30wsPDw83NzcvWytPU09fZ19vb2+XW1sPsxMjpyMX4xczzzMz9zNL6ztHo0s750tP009T91Nj72Nv+3OH+3djY6NvZ8d394ePj4+vo6OT/5Of+6Oz/7PH/7uzs9Ozs+Ozy8+7/8vT09PP/8/r+9vj0+fb/+v///wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAj+AMkJHEiwoMGDCBMqXMiwocOHECNKnEixosWLGDNq3Mixo8ePIEOKHEmypMmTKFOqXMmypcuXMGPKnEmzps2bOHPq3Mmzp8+fQIMKHUq0qNGjSJMqXcq0qdOnUKNKnUq1qtWrWLNq3cq1q9evYMOKHUu2rNmzaNOqXcu2rdu3cOPKnUu3rt27ePPq3cu3r9+/gAMLHky4sOHDiBMrXsy4sePHkCNLnky5suXLmDNr3sy5s+fPoEOLHk26tOnTqFOrXs26tevXsGPLnk27tu3buHPr3s27t+/fwIMLH068uPHjyJMrX868ufPn0KNLn069uvXr2LNr3869u/fv4MP+ix9Pvrz58+jTq1/Pvr379/Djy59Pv779+/jz69+/kBKA/wAI9N8E/BVo4Ee9bEEJJVsIVAEAVxwo4YQXjWPhQAUAEAyFHHbo0IUCgQLAEx6WaGJBFo5DjoVQANDJiTCWmOI44FQjkDcx5kjhjOP4lwWIOga5H40qkpPhikUKqeR9KZIjogZIJrnklPE12SInUVKpJXwpUgMAAQI1ueWY7FlISQBYZEnmmulZmCEwM7Ip53mgBGBBnHPmqeeefPbp55+ABirooIQWauihiCaq6KKMNuroo5BGKumklFZq6aWYZqrpppx26umnoIYq6qiklmrqqaimquqqrLbq6qv+sMYq66y01mrrrbjmquuuvPbq66/ABivssMQWa+yxyCar7LLMNuvss9BGK+201FZr7bXYZqvtttx26+234IYr7rjklmvuueimq+667Lbr7rvwxivvvPTWa++9+Oar77789uvvvwAHLPDABBds8MEIJ6zwwgw37PDDEEcs8cQUV2zxxRhnrPHGHFPnS8e9jgMMyLpCMQEFIZDc6iMJgSOmyrUK47KUMMMKSSIMXCJKzadGw5AjjhCyA8+0ClFIED0QLSs3SjzwgNKxzjyONFDDimfVrV6NNatab51qnDR7bWrXYo/9MkTP6FG2pWQz5AwmMYCwNqUzS0QLHyjEkMn+3JK2rZAtcZBQQynT8B0pkWErNIscJaDhiuGHiwMOOBARE0cJZLAC+eF1O2TMHSBQ0crmhzeZeEHQCJJCDbCQDqnfBj0jCAsxnOL662crtAoNKwDSzO2P5p7QLGmgoAczwAcPpELQ6AFCGrQk7yjsBJkiAwypSD+98AbtgsYKffyuPaOdK/RMHydUYcv4jXJfUCtNtEAK+4xST04zd7xwh/j0J2p/KjGggeb6pyj3DSQZjOMDARdlIXEsZBMwqMEAF3ioUMjsdALxggJI4IdnUDBRDFiAFBTihRtwYH4fNJQUdnCIRBBCITewAQdSiKgFBMERkVCIDBOQMhoW6hb+ECAEJBJCihJUYRM+LBSNfKYQN5gAEElUIpESwooY6GAWUSRUiiiHkD+kgA8ezKKgDIiMM5TAdmIUVPkMwooWjGF9aQyUhbh4EECQIA9xlKP7moGGE6Axj34SR+4cIBBVyEAHxQDkn2CnAjgocpHcI0ISkiCBR/pJaghphBN+MABL8sl9EmhEI4bgyU8uryAvOAIpS5knTBpkFm9AgQhYuSfuDeAD5JggLdlEtgFIYJK7zFPbPuCERhAhmHLCU5JOQUxELAKZvBSeM6Yggh+sEppjGkc4EmeLGjQBm9FMHCtOkAb+gVNL3COFCfB4zmyeUiB+6MAk2unOxLnhBbr+pOeShJcMKsgAi/qkkvBoEYMpIC+g+xQeK1LghjAiVEiurB4HH7qkiA7kDyTYG0WFJAxxCNIgcmDBHzeaIwcwwAojK8gGYjA6kuaoB4VIxCEMYgwqTCGRLs1RIXDIMoLYggYGzWlJEwGJHBIkFi5og0OFaiJhMGCnBVlFChzJVBjRaITkKMRATJGCP1TVqto0yB9QIImvnkh4fvCjWU0kPDeoIJ9rndAayfEMNMwAoHHlUO6mOYNd5LVDuTuGDIL61x2dkhYyOAMyCkuhYJxyFitQA2MpxABQ0IwVKIDDUie7n0UQYgEpHcgpVuAHzkqIEEkrCFe9aloDMaABYs3+aGsNFIxQbIggYzXFbPmDuILgTRW75e0p5ZCCWARXP1qDxhtg0NLj4keQNEMDDKLnXCbNkSB8pAExqnsfiyZDBzQwBnftozVjzGAKxxhvfSx6DBeMYRnqpU95XWAGc8b3PSkKB0Fm4YIzbPa+7WmglGQBAzcAWD4WfUUL3nDg+EhBG8sbpxwa/B4hBOEBUpASK1RwBwq/BxKLEEJBUHGC0nq4PUWFhFZF29UTt6cQiwAxQUpBgrK6mD1BEMJMB5IJFdj4xukRggOAQA5CCiQTJtAokNOzAyNICRMmQOGS0cOABxPEjiOdMnlqKzPcoiDLWhaP1vIQg1WE2Txa80P+Asx8ZvIImCB8KEGH2zwel7mMIHdIAVzp3B2tyeEEr+CzmKc4kD/LQtDh2cbZQopXRHdnB1ZYnhtYcGhHe2cRhWBAQdTQgkZbWjuRuFlB2tCCSn96O4+AhCNWLBBSb/fU3Ikpq8nRBhdQF9bZ0YYUGGBkckzjDC3AKa6xkyJhDKSuM+DFsLNztWeYQQbpXfZ1CC0QPsoAjtKuztWaQYYZLDbb2l5eM6YwA/GCmzpzpGMzylCDb59bOlscCDOm0AR3vxs61x3IMcZAg//emzn5Fsi86/3v6JxtGU0og30LvpyzMYMKTYAvw51ztmM0YQoLnzhyzmaMJtRX482peGL+QR7y5RUjBmdwBsmXAw5QQIEgVdjAGlbecHA4cCDEoMEa/E1z4ZyNGCtIQ8+Tc7ZdwOANKh+6cdY4ixi0QenHOdssCgx14xT9BAyuOnGkzgLNan04ASdHK1ZA1a8H52ytYIEceG723JxNFieYc9t/czZWgGDCc/8NA7o8kFakwMR5583NKksQu6st8IIP2gIIkooSsBbxu3FhagvJgsNDXjcLMClBTlGCPlx+N+IQxs5E2/nP6+ZspDiBIEyfG2ksLxMpgCLrb/OAXgtEEyxQ8uxns4MgFELEA9FECjSxe9sUItUEUR0Si0+bBiTCqAKpg0iZT5tgLEAIPSWHBJj+AGbqt0aQRiDID17AZu+/Jk5WEMgHXgBc85//bGw4wZ7djxroJmkadnhBc+m/Gq3B4QSexn+oMQ7QdWzLFYACaBr2VyTQoAYugIAJSBpn0wxnEAOvFoEDuDzOYAY1IGwYaBphhwzgFW0fCILLwww1UAPJUIKnwXHnJXEsKIEESBDEkFgZF4OeIXUywAZsh4OboWhS8gowoFQ+KBrRcDaxYAJyV4SgEXaYtYRM2BkzcnPkgAoTFYWfwSOihQKyh4VSuEaZQFZemIM0Qkfk8AcrIGVjqBm54wcm0H1rWBm5kwcm0DpxyIanBAcr8Dh3mBlnMw1sIAOm1oeWcTbOAGz+F0iIcvgyx2AG5aaIl1FxOlADMAiJkqE1xeBxN2iJjDFHQRgDVcCJlJFuBLEKL2AHojgZuXMKLAB4qfgYHkWFR/YCj/eKjqE1gJACumeLnXhKfkACqMCLjjEzxnZs9zR/wmgY46AN6advVQADEJiMhJE7AyAC6CWNi5Eit0UOioAISfABfIiNiGEhwoALA6EIROAESdBJ4jiOzFgQiOAESBAB7YgYd1YQv5QE9FiPyjgOTCQQQ3AETJAA/KiM4FAJWkAQhfADSUCQBTmN1CYQTrAElfSQgxGRAoEESCABAWCRgoGRr8ACHcCOHgkYpjMQsiADahBoJWmSp6QKKmD+Bz3YknURBA5whAUBCCtQizS5Fypme/AkWz3JFzHmCEFADv/4DG6gZ0PZF4SQCFrVjOSQDGYAjU3JF0awAJomlYg1BVe5F8U2egLBCiWQdV+JFxZFDqTgAa54lnUxOaf0Bx2ghm5JF8n1BiaAjHXpFoGlAy5gXHtpl7kzdWhwUIEpF12TClM1k4eJFjTyUVfmeI05F7nzDHBwRpMZF3Mki+RgC2YQAyyZmWtRJF0zCyBgBoYpmmwhPFzlkKrZFsLzByaweq+5msKjBiWgl7UpFvZXELvQBDVwa7vpmO+kCijQBkk3nGcxI2ZIDpIAAjypnGQRb6O2AtkjncuZO8T+AAN3hZ1mQTaoYAJusIneyRVk8wce4HnlSRZH2Jz38z3lt55i0UAFMXVNIJzyCRYQZhC4BwfJmZ9eAQrCcErPQFy7CKBbQTa0QAYysH8ImqDCcwoncAYr+KDmCZfu+YvRaaFXQYoFUVMwoJscChVaWBCnkAJoUKEjihVpKRB5IJkrmhUtSguf6aAxOhVto5hnQII3ShVk4wxwQAIb2qNPUaIEIQs0MAODSKRR0TaAcALIyaQ+KjzHkAYnQJdS6hRtgwowMAV+laVNKjzPcAck0AeMCaZE0TayUAMyEI5o2hQteoYgAAeV+KZK0Ta0YEZwaKdFQYDcowkmcAbmxqf+d8o9xnAGKEB8hHqncYp7ZYCfi5qmDURHSWIMb5ACPxapRpEinDkQm8ACV6SpRzGFB2EMaVACtCmqfeo+wmcG0aiqPJFfiZOnL3CgsPoTbRMACfACZaBstxoURkoQvpQEFPmrQrFFp3METrBJPmCsuOo3fCACTuBMzvoTcUoOxuAGJ/ABPmAI1doTROKeAgENgFACU/Cq3zoTwUoQr0AFLJCq6ZoT63pAcgACcZCa8XoTKYIjCJEJL5AA7JSvOCEFiiauAgELMyACiiqwNwEKjvVOAnEMdjACdbB8gGSx0SRInVptfZAC3+RJIRAHobkl8+qpLsACulVKlkAOKWD+Btc5JWUIsWNZAzt5plH0C9dwaCVABXtaIpJjZwlRDGxQAnYwqLskDt9QDHmwAjVACuQpIVtksORwDHTQAWiArp70DddgDH3gAjEgCfg6ISU7EIJQAjUQjAj1Dc+ACeSwAnwAqfuBoZOTEM+gkzGAsQ/VDc9QCizLBjaKH1KDQeSgCbwjCHVKUtfQCgY2ODarHjyCQc9ACjPAAn/QuAF1N/jxuApxClPQefaWV8xgqwFmP6XQBCtwPNUVn+ehuZurAyYAB0ZbXX2QiOIRuFIrEJLLAnkQtseFDIBQA+TgBq2ADeHBIxtLEJowAyrgB58bX63QBiRADoBgDNewHaz+mxDL0ActEHcL62HGoJMocAetcA3fYB2eKLMDoQx6sAIuAAhMEGarwAYpIL3U+w2CWxzhir4o+QYtQAN4q173OxBc6wImQA6rYA3ZcLtndwW9tRCrgAYlcAZoa2msYAcn4LaycA3YMLdgN7YEgQyZMAMgcAe1sGzfqwM7qwnKgA3dUL6+AZf2Qw6zwAcp0DvNO2zF8AcxQAJvcArOQL6QaRsyE7huUwpmRAX/i2j3+wysAAcqkAJ5wArW8A1UfLyqYQW8tgBWoGgNkcMyQAJwsKQT9wyngAYq0AJ8EAvTcA29qRoEaAQ8EFMOsbdnQAI0kAnQUHXGEAhjkAI08Af+s0DFVGxzAYwZMxINDoB9Q7QQtaAHLLACdgCYbUcMmDAFJIDGdIUN32B/ChwZ54uRCeG7M0ACSGy5NEcLgEAGdpwHr0C+gzxXnoys+ksQZMwGIDADfSDGn3cMmNBHKzAHwYgN4nANOGAAB2AARaANjAGE18sQzYAKTowCefC3xUcLpHAGJlACcYCxGWAAUXCtffEJA/rJEVEHK8DDpfC0zOcMq4AHIcACNmADN3ADGUAOwbCA9IkXGCAGYQAGXCAAD2tAB9EMknAGL5ACcYAJSYyBqTAA8lxCNzC4AuFR3zA5GjvLaDEK5PAFYdDRXWAAooDRNLgJboACPEwKcOv+g1/wBV4Qz4LDB6yQdPY7hd4Qw1jBz/5MDsMwM8MgABgABv3MBRAxDbIACGNwAjGAB6rbhyEgC31ABicAAmyACSMryJwMw4UcFUANBh9tWTOjAQjABV3wEM/QzjuMy6xgyljIDKugB1OAAipwBoAQC/ZFyI/rwZu6TdGAC7lgAD8dBmIg1BTRDLDgB3WMAm6gCTwqjshQCnswAybAAlTwB60QtnZ20TOjzIsnEPr1rLLMIzkQ1l3ABRcgEa/QyymAAmXgB3Tdk2z9B1WQAiQwA3MwCbLwnwTRJA9ACIeAWpFmvJ4wM53cETwSuHedO1EQEciACn1QBiRwAn+8Crj+fZXNEAuA8AZfrAJUoAeb4IEFEWOexQBwctfgoGsMwGtWwA3CIKCTY9zHLWDvHd93rRGvoAl4QAUmXQZ9gAqxO5lsLQhVwAIl4AFjQAeDwArGsNQIkW9PSQgQgCTu/bi2K9/5m9XKHQukwAdHnQIxkNAji53QYAuoAAgOeAIl0ARAQASIwAgP4QiqdpQK8dkCbeESUQyr8Ad30AQm3QJpsN/9/aDQ8ApIJAJIQKwj8LqAUAqxYAx5LBTQQAuxUAp88AY1QAIrAAJTcAeZUNnyCeMRMQADkADpOQdlcAIkUAI7mwB6oAcVSRPOoAytgAlZgAdxQAUgYAJ4PgZzEAj+qEAL1pCur9AKlqAHcTAFL4AETLAESzAC5AAHc9AHSa7ksUALxoAM6qwQzYAMvCALsYAKpSAIgEAHb3AGyovm8WwD9YwJq0C7DFsQzQACCRDrHdAHe/AGaUCzaF4CKQACIJACux5AVBDsVFAFaFAFxB7sUzAFNBADMMACvO7rKBDtJyADZvAGe9AHgaDkM0QOXtDqHOEMxVAMgb4Kq7AJm5AJmJDumCAI7M7umIDummDu5P4KuqAMyuDt+J7v+r7v/N7v/v7vAB/wAj/wBF/wBn/wCJ/wCr/wDN/wDv/wEB/xEj/xFF/xFn/xGJ/xGr/xHN/xHv/xIB/yIj/yJF+g8iZ/8iif8iq/8izf8i7/8jAf8zI/8zRf8zZ/8zif8zq/8zzf8z7/80Af9EI/9ERf9EZ/9Eif9Eq/9Ezf9E7/9FAf9VI/9VRf9VZ/9Vif9Vq/9Vzf9V7/9WAf9mI/9mRf9mZ/9mif9mq/9mzf9m7/9nAf93I/93Rf93Z/93if93q/93zf937/94Af+II/+IRf+IZ/+Iif+Iq/+Izf+OIREAAh+QQFGQDfACwAAAAAIANYAocBAQECCgMLCwscAAABFwgABRgTExMcHBwjAAArAAE2AAADMQwAACUAACsAADMAADsACTkDFzAFMTAjIyMsLCw0NDQ8PDx4ERBROjgQSRMeZB4kZB4TTzMoXSgyVS0oWzgeYywlZCUpZCUlaSUqaiYlZCoqZCsmaioraywxaSwtcS0wci8qZjQzbDM3ajc0czQ3dzc7dDs7ezthQj9CazxBej0AAEMBAUwAAVQBGFAFMU8GB2oGBnYCF3EEL3ARSU4aWUcaWVcvUlEkWlwpZUk8d0IVUXBDQ0RMTExYQ0NMUkxFRlhUVFRYVldcXFxEe0NHekhNdlBFRWJjY2Nra2tubnF0dHR3dXmNDg2vFxWiIhvSExLqCQk8gjxDhD4+gkNEg0RHh0dLg0tMi0xQjk5Nh1JVhlVTjFRbjFtUk1Ral1piilthl11dol1hol5ajGNdmGJll2VqlGxsm2x0nXReomJopmhwrm5tp3J3qHd4tnh8wX2CsX6Cwn0EBIQIB4kGFI4HB5kGLpAJCKQCFKoHCLsFKKgXT4khUoQIB8UOCMkGBdcEA/FwmoV8sYN+woGDg4OLi4uOjY+TlJScnJyErISHt4iPt5GWu5ajo6OopqesrKyutq+ztLO2uLe7u7vFsLCJxomQzY6Nx5KYx5iZ1Zmi0J2d0KKmyqan16ix1K+t17K22rah4aGp5Kmv57C357i687rC7b2wsse0s8i82sO958K99MLIycfNzc3L1srX2dfb29vl1tbD7MTI6cjF+MXM88zM/czS+s7R6NLO+dLT9NPU/dTY+9jb/tzh/t3Y2Ojd/eHj4+Ps7Ozk/+Tn/ujs/+zz9+rx/+7s7PTs7Pjz7PDs8vPu//L09PTz//P6/vb49Pn2//r///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAI/gC/CRxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhw4gTK17MuLHjx5AjS55MubLly5gza97MubPnz6BDix5NurTp06hTq17NurXr17Bjy55Nu7bt27hz697Nu7fv38CDCx9OvLjx48iTK1/OvLnz59CjS59Ovbr169iza9/Ovbv37+DD/osfT768+fPo06tfz769+/fw48ufT7++/fv48+vfv9CbN00WHPDNBFPs4g1/CCb4kTdNACDgN0gE8M0nClZooUW5AEABQZR8c8SFIIbYkCYAWDGQN84AUIGILLZI0C4anphJiS7WyKIVDlZxhRLfOGHjjyFSIgAAAHxTAYVAJplgFQBI8k02uFQQwCRKVpkfJTT6d6AAAljpZX1MBNDJN1oaCUAuX6YJHxIAZFLmNwcAsIuadLIXiYbZ+PfNJA7W6ad6FEg4xRUYBBDAJn8meh4kFRjgoBNoKirppJRWaumlmGaq6aacdurpp6CGKuqopJZq6qmopqrqqqy26uqr/rDGKuustNZq66245qrrrrz26uuvwAYr7LDEFmvsscgmq+yyzDbr7LPQRivttNRWa+212Gar7bbcduvtt+CGK+645JZr7rnopqvuuuy26+678MYr77z01mvvvfjmq+++/Pbr778AByzwwAQXbPDBCCes8MIMN+zwwxBHLPHEFFds8cUYZ6zxxhx37PHHIIcs8sgkl2zyySinrPLKLLfs8sswxyzzzDTXbPPNOOes88489+zzz0CfZIwcQR/bQw4LmJDCB0UX24MghwQBgiVND0vAD4ccIogOVQvLDB0sAPGDDz50DewxepAAwwcF5GA2sHyksEIow7z9azJ9rNDC/iV2A0sKDSTokUzfvqZSgwh4GNOQN5ESzmowaIigBjCL+9e446nmUcITrFT+JuaokhLDCqN4/jnopcYyRgl0DN6flgeijqoeJoQhC0Owxy67qa4UkQLVr5+++6jI4AGCGsIEr+fwpp7yQgyoKK8786MmI4cJdhwjPfWlpuJCEapsz331dJgQB0PbCD/+p6nA0EIqyq9Pah4hnK9Q7vKLGgsYK5ByP+z5ExUmRBAGyiUEgAEE1THgIALgIQR/CfzUK2IQg1f8b3kR9JQlRoAG1x2kG+mbXgY3hYwzhCAUCjFQ+kboKVG84Am3Q0gWEOAJDLJQUxIgAguCkZAtYGEA/nO64aYIwAEicC0hWriAAoTIqQUAwQg+AERCEJCAASSBiZrCwwd+YIgDeqMXoMCipvJgAgm47YHdEKEYKXWMMbAgeg/0zzbWiKlYxEAGvkjINkJIx0uVIgRn8GBBtDTHPlqKDyG4gxdtaEhFJSMNHTDFIhtZqWA84QWwiCMjKfmnV7TgCdo7iDPUx8k6kUIEbFBGQpagxlLWKQ8iyANCFlEIHjjAlYpiBhxa4D+EMGIRf4AALv9UDDC4wBYI8UMiFpGIYf5JFjGoAQ8RcgM/DMKZfnKFCMyAEF54IxtLwKafSEECOyDEAQz4hjXEWSc9jECWBsEBDwbxB3bWaQ4h/hBFMpfZTHt+iRlkQMEqENKAQCyCEf780jHC8IJYHMQbu2CAMhPqJV/AoAjIeOgmKQokWKSgDKEcJCk5WiNUoEAND1whSas0ihKYU6OtXKmL+NABBw4yjTJV0h1E0EuRgjCnSWKDCU4B00IC1UZkUEHnDILAo7poGGNwQSaZulGngigYMpCBAUUaU6tayBIrAMM0uepVFxHgAxxAiBWqWlYFLSAIRugBVdnaVgS91QhS5GpX68ofOzwxrwQhJF9DRIoScECuZB0siEJRAkfAVLEg2qBjDUINukIWP3ooQU8D6w2jXjZBdECBPuf62QrZAQWbFYiWulFaBcXhBK2Y/qtnW6sfNahgoCJVKW33A4cVWDC3e91tfHrAgRQslbPBFS58DHEIIFRirslVbnsAYQQgPFa6+MmBEYKwANJiFz9AsK53v1ufY1zSpqq1LHnXgwwZwKBuBeHjeuljDCjIIHmJna98glGDGmSUs3vU73z4WwP4IlfA++2vKpEbXQSTh8AhTa96HfxgGIABuhR+zy+KEIZi6DXD7vHFC8QgSDKNFMTl8UURxPDfE50YxeMRcRjGC+P0AAMGYYiwiRtc4+4Q4ARfYMYgddvj80SACBxgGoCLjJ4c+GC7ZzzRNljL5PP4IGtlO3CVzRMBuAJWtUTesnh6EAQORCC3YiYP/iEEUWYP5DfN4emBET7AgjfDGTzhZWqY79wdYcCgBscVyB55zGfpBAPHJZZvob1jjBiAQcfecAKhF/0cY8jgCSX2jyYo7R1hPEEGkJ4wp6FzjKy2WMKj5o4xilCEUE861cspwhd0PGhYa0cCHDgBfgeiaFtXBxDUDQIB7Ozr6QAiaxIgdrGjIwEjHOJoBEnjq5ddnPDqIMo7pnZ1khEGJbtY1No2DrdhsNUdTzvcwRHDC/Lo4j2juzlmcEG5O+vudysnGWSAAbslfG5784YZZ1CBQ7/db3/v5gwt2Le5Df4cNKxg4PxmuHPSgAJkElzizUFDCqYacYwvRw0r4PjC/j2uHDaQ4LcdJzlybBvopqrcOHMggSsY/HLkxIEELcdpzY8Tc/i1m8o7Jw4eMuDmgVCBEgUPOmzw0AGfp1fnShfOTp2e7agPB5aloLnVgwNLSboY6Fv/jR7yqeWwi30Dm+212XmTttEK+sVrp83YNwv3uM/GEprVut1144gQYKLse8+NJU6Awm8HfjcSGEHpDH943Kw5CGwAfONpQwgjEKG7Up7t5GfjgyBkQPKbl00RMY/q0NfGEiiwX+lNP5tQjIBvvAY360vjCBFM9u1Jnz1nFtCBOsde87pfTQB0EIRkSzn3wc8MB4YgCNAnXzULIIIRCEIL2T//M3cgQhQH/tKAZSD/+pUZvHgFYgMhfB/8k3nE1AjSgCVUA/2sucQICi8QTzSDG/BfjTthb+IA5z81G7R46QV8/ycamfV3KVeAtFcC9BdC56eAjHEHJNBTLgeBopEHJ+B23sAN1meBlCGBFFh3HogZeTACIdiBIxgZdlACTleBKdgZ+NSCIviClGEHIyCDKEiDjREHIzBzCaiDmwEHKHBcMwiEkYEGJ4ByameEmUEGmMRr9caElJEMYiBwJwJ1UogZbfQCv8B4WYgZyQAFLxBDVfeFl3EMRSADzmeGkWFJNRBtOciGg3Fob+iFcjgZv+ACF/aDdwgZsbACY3B8D9iHeAELLIAG/gORRv5HiJGxCigQeXzIiIyRCuYjiJIYGaRgAnhgh5fYGJdgAvBUhp3YGHpwAg7UWWA3iouBBycggHKkio5hBylwgrDYGHDAAjhYi4vBbSzQS6uli4oRDB9ABAPBgd6QisBIGMkzfQLxAKw0iMm4FiKWVgJRCDvAAMsQjYdRCidQBAJxUIvgB9qIGEg2EMtUS+NYGGHTfAKBAzvwBzyQjoRRCSAwEIXwBw9QAPJIGL13RIWQCINwS/soGHPAArdXCOg4kIGhBgI1ED3AAzvwAAr5F23UkOq0BA0gkBPZF8LwBS8wTdKWjRvZF76wAl+AX9JGgCNZF44YSAO4kn3R/ggdoHqvCJN7IQEsoAeCNmXQaJNdoQMfsHhy1JM+uRU/wAJEJYpFWReqUAQwMHDStpR4cWNQME1LKJVxsQqAGEpFiJVnIQokEAdCppReCReVMAI6+Q0gFIdl+RUZ0AFw5IJtyRbIEAUZ8FtyOZdq8QsxUAQG1JV6GRbeMwahdJWBmRahUIlqCZiH6RV2EALAA1Fs2ZhYUQYp4HP+gQSU2RY3pm+rt5lpkQooYAZcOZmgSRWWYD6D0w1ReZppwQYlIJQ16ZpmUV8r4IOMSZtW8QovIE2fqZtjMQoikAYCIW1ECZxGYQciwAcDqJLIyRVisAJel5vPGRWv4AJQkEc8/nmc1SkUl3ACiLiYndWdYvGYkXmM3EmePgEMULACmGma6okUqKACUKA4iuic8VkVZGQHGSVY+ckVx1AGqPWS/8kVrNACRXALixmFBToV7hQHg6MNs9mgWGEGKAA8rUmhWOEKLwADXdhZ8KmhQLFBaqA9eSmiTyEMYxACsEedKDoUqfACMuBQxvmiVnEHJUA04omfNpoUvwAFLZB1EhqiPaoTpIACY9CFa5meRfoSx/AGLpAHQuaATRoVMQo+4smkVdoSeIBKq+miW6oTtiAD0vkN2pChYcoUlWACZEA5g8ajaRoUqpMCfKMNtRanTHEJKAAGeTSkWoqnJgEMYXCh/mYqoXAKqD6BCSsgA5nEmkSKqC7hC2RwAo6lDUMKqUmBCSjwBchkp8eIqUchC2GwAefjqH8KqiFhCUsjEAywBNyAjKj6E6/wBCjwDRDAA4TgBxIZq0ORDHgQAmkwUH5QCIugCLw6FKWwAisQPZzQAINwUBHkJKUSDGpQTscwDduwCw3wB/2UQB7wBFT3KWnzBOGzRww6PqQwBx0ABeGqKasABSigk9EApqDzC3Kwru1aKcYQB+ZDDJaKpljkAQuQAWKQr4pyCRmwAJKUPk2AKJTkC2vAAmFgsHSSCjJgAs91po/KPLGQBiMABeHzJ75gBiWAPNGQRsswC4Z0OQXh/gtqIAIykHVqcgysGAWwYKfdQA2clAufihCxwK9Q4HVWcgkr8AL6VKM7e6K/MAciAAOhsGA/UgowsJxmCkKLWEqr1VXAYIMugF4iAgtlUAJwIAwn6x+wirUQZBDIwActkAJ6sGsXcgtqoAFo4AvagK3nirZ5OQyW8AIpkAddWCHBYAcn0AXwE0KH6koOyFaYEAMhQAY+uB/CcAcoAAX+Y6d5y070dmKlMAYbEAZwdB9r2wItMArMgA1ruU5llTsx5Qv8+gKhoGPvkQx6gAItQDX/urGNxLoxBQx3sAIjgAeB6x7KoKotoAfXOminKkasixDKcAk1MAJpELnpgTZ6/mMJyXCyhqlYvIsQqRBQRYAJJSYeyFAJJLACyAsNfkpe3WsQv4AHJXACdoBy4LG1J7ACdbq5AgY79ZYMoSADKBAFocsdS2sCMDAKyTANQ4p/GZY+VKpGrBAHKUACdwBx15EKkVMD0YMNZ7oLSAJjucPABiEMfSAD25SU1EEKYpACYyBJjkoNUiBmG5iXrHCvKHAHIsccxxAKLzACcQALCsyaZ8tkixtTO/wFJgAFl3BqxyELc2AC8QoM0SANlzpqzXsQrJAHKSA5pcDEwJEMpRAGIWC5hSrExda+32BUx1AKaVACLUAHtRAcwZAHLSA5rvAM0UClTHZuaEwQxnAJ/vAKA3pgwbeBDKJABiMQA1QTxJkLa31MELCgBy9QAlBgCcRgG7/gCC5wApDLDJiru1v2yAORxTFQAl4QCnDLGju8AChAA8+lvua6vDUmygLhCqcVAlFgCcOLGqjwBiWAAjLwCtCArfS2dnK0uAehCnngAjA7yKVxB3WAAiaABqigvjgLysW2uPVGCmewAiEQA3QQaJshCD4ABCMwBiikvkgbelk7UpUABR2gAmogCqksGZf3A0MwBOI1DQq8DRJ6fUUcO1igBQQBDKFAcevKB+LcGKTAryyQsAvwAchAb428eVrSCwlwAVvABT5kEKpAB1CgNHAwCoRMGMkQC3ow/gYkgAJv8He8gAq6kEZB5IGgoABasNFbkAXf4AlpXBAGnQYkIAIxMAecILt8gQyoQAeOqwJukHXR4Kfe8H5AiNNYgAC9MGiwCguXYKEjAAN2EApkeBfI4Ap68AUjYAJiYAm6wM8KjJ53OAMhlEZ5AnzDQNaDigIuIAeYYHFxoQpbbQIaIAN34NTYcMzY/Hy8S0pavQYpEAIkEAaDXW5lIQulcAddEAIdUAN04D8KbKnKG40gSsuxUAp2AAYiYAItgAaNAEcSwhXJQApyEG8eIAJgMNjCkL2om7bymNjdcKZYjAl0EAUsQAThxQELUAIeJhNESdl6oAYvAAInEANx/oAJnRMNT/2vADuSrGucMSUBT7ZdRGACMWAGdIAJqrDLAmEoQJHUeTAH0SkCTasGj5AKwPAM0MDBx6jHc8ndpsqTBUEIAtEIwL0GMdABIaABMDAGIJABGSABCxDRNjEMr9AKfGAHaSADIWACH1AEb5AHpqAL38DB2MDBuSvLnTiUsLMMDrADxIoQxTDae6AGHPBEiIAIRPABURAHdHAJ5s0KIC4SzPALv6AKqHAJeSAHUEADW1wCIZDgduAIpRALyYDHeKy8JwqcZfIAPPAHO1B+5sqaDCEHcnAGT+ACHTACISACI3C/XdAFZJAGbVAHdnAHd6AHe3DneH7neqAH/nQOzWlABmHQBSugAmhu4KcdA2IgB3zAB6bACpesDSPOwUIsxPR6mg7gAO13DQGNBN7ACw3AEMIQC65QCqIQCnugB3ZQB23w52MABm0OAzDgXjLwAm3eBWHwBW/eBnNu56FQCq4QC7IQUtLwC6Bw1dtJy3iqJXO9BDfwjjvw6axpqdJuqQp8ESNuqU9N4te+R9MgDd8wAAiAAN8wSiZOnjCckQ6wBOSe2Oze7u6e2NtwRd9A0MfqEe+eOw6c34ld7/ze7/7+7wAf8AI/8ARf8AZ/8Aif8Aq/8Azf8A7/8BAf8RI/8RRf8RZ/8Rif8Rq/8Rzf8R7/8SAf8iI/8iRfpvImf/Ion/Iqv/Is3/Iu//IwH/MyP/M0X/M2f/M4n/M6v/M83/M+//NAH/RCP/REX/RGf/RIn/RKv/RM3/RO//RQH/VSP/VUX/VWf/VYn/Vav/Vc3/Ve//VgH/ZiP/ZkX/Zmf/Zon/Zqv/Zs3/Zu//ZwH/dyP/d0X/d2f/d4n/d6v/d83/d+//eAH/iCP/iEX/iGf/iIn/iKv/iM3/iO//iQH/mHGRAAIfkEBRkA2AAsAAAAACADWAKHAQEBAgoDCwsLARcIExMTHBwcAzEMKjcJAAAlAAArBQcqAAAzAAA7AAk5AxcwBTEwIyMjLCwsNDQ0PDw8eBEQXzAOEEkTNVMVHmQeJGQeE08zKF0oMlUtKFs4HmMsJWQlKWQlJWklKmomJWQqKmQrJmoqK2ssMWksLXEtMHIvKmY0M2wzN2o3NHM0N3c3O3Q7O3s7T08Sa0cLQms8QXo9AABDAQFMAAFUARhQBTFPBgdqBgZ2AhdxBC9wEUlOGllHGllXL1JRJFpcKWVJPHdCFVFwQ0NETExMTFJMRUZYWFZXXFxcRHtDR3pITXZQRUViY2Nja2trdHR0d3V5fX19rxcVjjMPoiIbPII8Q4Q+PoJDRINER4dHS4NLTItMUI5OTYdSVYZVU4xUW4xbVJNUWpdaYopbYZddXaJdYaJeWoxjXZhiZZdlapRsbJtsdJ10XqJiaKZocK5ubadyd6h3eLZ4fMF9grF+BASECAeJBhSOBweZBi6QCQikAhSqBwi7BSioF0+JIVKECAfFDgjJBgXXAwPpBAPxcJqFfLGDfsKBg4ODi4uLk5SUnJychKyEh7eIj7eRlruWo6OjqKanrKysrravs7Sztri3u7u7xbCwicaJkM2OjceSmMeYmdWZotCdndCipsqmp9eosdSvrdeyttq2oeGhqeSpr+ewt+e4uvO6wte+wu29sLLHtLPIvNrDvefCvfTCw8PDyMnHzc3Ny9bK09TT19nX29vb5dbWw+zEyOnIxfjFzPPMzP3M0vrO0ejSzvnS0/TT1P3U2PvY2/7c4f7d2Njo29nx4d3m3f3h4+Pj7Ozs5P/k7Oz07Oz48+zw9PT08//z+v72+PT59v/6////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACP4AsQkcSLCgwYMIEypcyLChw4cQI0qcSLGixYsYM2rcyLGjx48gQ4ocSbKkyZMoU6pcybKly5cwY8qcSbOmzZs4c+rcybOnz59AgwodSrSo0aNIkypdyrSp06dQo0qdSrWq1atYs2rdyrWr169gw4odS7as2bNo06pdy7at27dw48qdS7eu3bt48+rdy7ev37+AAwseTLiw4cOIEytezLix48eQI0ueTLmy5cuYM2vezLmz58+gQ4seTbq06dOoU6tezbq169ewY8ueTbu27du4c+vezbu379/AgwsfTry48ePIkytfzry58+fQo0ufTr269evYs2vfzr279+/gw/6LH0++vPnz6NOrX8++vfv38OPLn0+/vv37+PPr39+QEUFK1/An4IAmQYANFQEOJIVBjRSkhEGXECjhgP4VJAE2tQxEC0OUTOihhxNggwlBlmADxUAPTkIQFdgsMlCIsxC0BDYqfmgjfQbiQpCOBhLUDEEbhphQhzPeaCR8EwCAyTVMXlMJAAA8pGMEBd2CjZBHZrneIgBMUA0110iDDQABENQjQWUKtKERBeWCDZVaxpnehRBEEUWPUWLDDEMxYimQm3DKKeh4YWIDgQAEFAnRlAVleOGgkILXJEG5BDBBggVg8+NAGfppkIqKRiqqdmAmKJCLjSQ4oyMETdHii/7YbDjQiTWOaut1YZqaiQAQiPlQh7cG+50RCxoRZS6mYrNgQQ0S9GBBEQorrXRSREDAm1M0k+y03Hbr7bfghivuuOSWa+656Kar7rrstuvuu/DGK++89NZr77345qvvvvz26++/AAcs8MAEF2zwwQgnrPDCDDfs8MMQRyzxxBRXbPHFGGes8cYcd+zxxyCHLPLIJJds8skop6zyyiy37PLLMMcs88w012zzzTjnrPPOPPfs889ABy300EQXbfTRSCet9NJMN+3001BHLfXUVFdt9dVYZ6311lx37fXXYIct9thkl2322WinrfbabLft9ttwxy333HTXbffdeOet9/7eRAFTxwl8n2yKGiSsMEbgIxMDSQskhCEK4iL78gYIKdTRCuQhd5JFCDRIgvnIQ2jwwOcf+9EDEEIUQTrIPAQChAYF5bF6xqio8MMPs3tcDBshbNHJQ9fImrvCj6TwwuMFNWDQHnvUkMQ1GQ6fMBEr1GFMQ38YQsgOCigjPcI/dPCGQwv0UcghhMj+vcE5AKFCKQ1dc0sCeBBSyB/rFxwKEUMkEn+TScifwXwxhhKsgRgNoUaptiVAgG1CBDQwBUMWyMAG/osXYgjBHeK3QAsSDBInaMIuGNKka1TDgwPjRRdGAAkSMglMKBwYJFQQhhEupIQxFBgxxECCFt5wUv45DNgnTCDCHwIxiP4yhhtCEAdnGLGCSMyXKlywAvgpBIdR/BckRkAGYVwRi1nkFzHAQAJPPDGM/jJFC16gii8eEY36qsMI1nBGOO6rGGBQwe8SYkIm3dCO8EoFDGAQC4VY442AvFckTECGYihEgVBMpLyKsYYTbJCPiJQkvXyxhRSMwo2R1OS7RrGCLfgCk34U5b0gIQI2gFKV92LDBzzHx0OGEpbrGgYXUPBJhLzwlrhUlypSsAVeJARZqQymvBChAjJcDyELSEAQTqhMeT3AA49ISA3y0IcdVHNePuhAKBKiAB3YbxDfjJcP3ufLVzAgD4VIJ7xICYNe8BEZC/7wpjzdNQoRhMGRBwHjPtkliQzEAZMwHGi75OjDgGZSoediwwj26FBgQhRcxehCCyRYUYte1FvDYIILZIEQW3r0o9xSRQu6MAxfPhSl4iqFCsYAUIM0iRowRVcoVOAGVOYUXSCkgy+rkcyfkosOJmhoQQRqVHGxQQRm7GhTyXUMMpjAijYt6lTBdYwurKCNFd3quIjBhRfYMKsnFWukfEEDGJwyrGoFVytS0AQvojWtcRVUK07whZoShKl5lRYqUHA4qQa2W6QIQRlcqtXDBusTIugpXB07LVGIQA6MpSy3VAACoYZ1W3jVrIBwEE4VZFa0weJDEYCQg9Oi1lY84P6DIIqAg8m+dlQ+KAIf9JBVBd72Vh1QwQN4cNff2moNIejAQTCBi2vg1LiiOsMIUIEQBiQAuqMqQwqwSpAb5GEP6sPuoM5wglQgBA+DiKd4BzWGFXC0IJhIgPkEwtv1amkMIABrQaiRiwSE175aIsMJLmcQSAJYUGIwwSoc+twDa8kLKDCmTRPq4Cw1oQULnnBoK3yfH6wgw0ttLIcnpIdA/GCcaB3xkYCAOwar2EjhVG6KX2wjJ7AzdglAFo1v1AKSFsQQfVhAtHY8oQu8QMIE0Z4+iTwhJ3zVINzcwQ2YPCEyRPggCVgAlScUhhSAeCBgysWItjwgKxP4rwYms/6A1mAC84aYwmrWj3b1OxDAxtk+amhzce8sZxPQWSB25vN82ODJPQv6PnEogRlmfOj7uEEEvfxrHxt9nzmQINJ1fiml3UOHEGAa0JreNHvksIFPY8O5DRa1fO6Qgaii2beqlg8kWm2QBCRBW7GWjyQ+4L+C4EEHCwhgruGzCQ9AeRCE+MOSh90eT4DAtAUxn/aY/R5nS7a7efiDeqnNnlGAoA5QvoEOls3t9HwiBHMoyP10kIAnlJs9pSjBQaOdBwYI+93pQYUJ2oBlBOB7PaowwWL3iwtMuOnf6ElFKw2N8PK0AgVkYHjDxyOLFIQhq0SduHl64QIuSFzj4PnFC/6c8MxMixjk3RkGDJrwcZR3hxhMeIFfBQKNk7tcO8WgAQ1+UZAdOG/DN3cOMbpAg7cKRNuD2EPQw3MMMLTgrAI5XyH6sPTvGIMMK4A6NnYwCEMM4r9V144aVlDIgtRgD30Ae9ivY4wynODP14DGvde+HTa7Gcyhprt05mACU+dd79Chw6UZDfjr0KEDyDM50AtfnESMAMWKZzx2ILEBV5tc8tfpROUJj3npeEIFSgX14jsPnFGoIJshHj3pfROKDXhW0qpfPW9GcYJ0p1720imFCVx5e9xDRxUn4D3sff97gXOe+MqJxUxLLnrkO4cIELdpJo7g/ObwggVfQODwq/6/nGG0gAvMP7XNuS+cYcyAC9q/PPmTQwwiMCH8f19/b2BOhPQLxJbyR44xYm5/8cc+/69hDBplV+oHgMRhDFyQAjMXfwaIG8cQBv3Tew04HF8AbQRRKhNIHGNggQNhDXCWgb9RBhwoEA2gYyAYHGpwAr0WdX2QAGN2gr/BZnRWCIOwA/4Gg7+xRNRFEN1kAzj4G7J0dwKRAET4g74xByWwg3UmZkbYG3HwAdzlf03IG3OAAp9QEMgwflMYG3JwApaHDQsQbFuoGx0gAqBAEDWgA3lAbmM4G3qgASUQenmQXm14G37AB0JgAAVRPttWh25YBEUwOpSCAHiAP35IG/4+AAQPMABgBibudoi0MQQeoIfbB4mxgQMPUALgVomW+Bp+4ANDQIkF2Imu4QeAUAQ/wIijSIqsQVqC0AO1VWcfyIqr8QBDkAOxCGiwRoutUQcbYABp0ny82BpluAkSOIypwQPrJGOriIymUWKBIIh1lnHOmBo4UASBsFucWI2mkQOpU18CgYHciBoqcIu5KIXjeBqdNgJLdUjpeBp1EAJnSBBE9X/v2BiddoXbeI+gkWiQB2qpxo+gMQcjgGmBJpCbsQYiQAr0yIAISRlskIRopoUPaRllIALvhY4V+Rl2N5Eb+RnGIAZPJov2+JGE0XQYJmkBaZKYsQxc4AJQ5/6QLNkYxdAEI7WPM1kZwJAFLkCAGpmTl+ELM7BzOAmUktEKLbAFx3CBs2iUkqFSXmB/MumUh5EKLXBxRUmVjkFKAzcQ00CRWpkYo0ACwieMYSkZnmACtteBYHmWhrEJI/B6p1ZwOuKWkVEHH6BUcneDdgkZdAACFHVq2DBlfQkZbkAC8xiOt3CDhlCYjGEMY8ACGSlmtTIQDOCYhyGALfBnRYiZjPELW0AESIYNSfBOnskYvgADRBAMBIEMCKADp7kYwGcAGTkF7hSbimEKJlBYmZYMuJkYnzACZfmTv0kYj6CWsEdNxUkYAWABHcCM/leSy7kWGiAErTWNbTmdd/6hAboFe9KpnWchCR0ABD1AEK9AjeAZGK2wAj+AA+CYAMnwnelZFqrAAl0QBGj4BNYwn4ERChYwnLb2DPwJGJRnATvCXCs5oHhhDHJAApHwagmqoHZxdYNnchEqoXTxC1wwkoBmDfspmBiKF0hJA/bUjCFaF6MwAmPAfFPgXCeqF7s2b+F4DanyonkhByPwoJFno3cxBiTwjyWUnTxaFmzlAnQ2lUNaFqawAk3Ac3XmjklKF5zwAWdwjFEKFw2qVAd5pWmxQ17onVwaF7xAAy1wZtgAJhcapmhxCijQBcCQlWp6Fo/ARGAap22xDGvwAToqevJpp08hDBfGXUjqp/5cMQRb0FImSqhl0QNDgJWJqqhioVqhWKeQihZFIASqOKN9WqlK8QOhY6WcOhaCR0eRt6mh2jddIAKJF52nqqQsQANmCkmm2qpDcQcLh3dCSqtUEQYgYIwkOau6ChSo0AJMEKuDGqxO8QglUAbMh3/I+hXC8AUoQEt8+qxfQUouIIRbaq1TwaAmcG1nOinAyq04oUJfCmYeOK7kihObEAJcYHTEua5WYQxtgAGYtaPyihWlsAJsBHsfmq9X8QZkmX5Bqq4AGxOrQAMmoI/hKI4HWxWQYAJf4KTV+rBU0QpcIAJa+kIWWxUPtAVftq0dixQYq7GUOrJQEQkikAUhe/6sKNsTu+AFeQl7aQpHSGALiqQCIPtXHlizcMQEG7AGJRovq7AFPeSv6TQKTEACczBz63KcXOBjouezmuQJLCAC1sMuqEAEJkCtp8ZfQzZQxnAHKNACgVkuSkQCZDC0p/YMc3dRxVAHJOACDDsunIACLmCQuapMv/CETbCq3rILYfABcVByzsUkBzcQbKhQvCBdWxCFwmIMdHACXQB1HfRR0ZMQq1AGHdAFGXkrovACKbAJSwmQe6tJtaCFqiAGIuAFQhgpsuAF3+pXL9SUA0UL25oKXQACY8AKkSK5I8AF2uqysBSkC0EKYsC7f3Ykm7ACKWB5xqtWRzABlaCFpf7wAgbgBMv7IU0AAnJAsac2CVBgsGEUvQlhCmFQAlyghB4SXGOAqBWrWeaLEKjwBSLgBKamH6aQYEzAvn10ujl1UzULC2sQvHWLH2MrAs/rneRbvGiqnAihCmtQAk3whfQhCSxgSbRLvFtVsAoRDHFwAi1wB/33Hp8AA5bEfCL7W/N7EL8gByhgSfDbHqXQBB/ABmzbwhUWpGm6DJHAAiCwBl+GHqPgBcJpubZEtfZ1uA57EMbwCV2wAY6DHqwQBiFABsOLpnemwwVhChIFA5tQwt2RCl4AAmFAZ4c0DU0cZ1xMEKsQByKwAnQAr9tRCrvbBcNbj6rmwQnhwy0QAv5fcArbMQpbIAJkQGfUYFINLL9tPBCjwAUfQAORsAzWIQpNELTDe7iL/Fp8nBC8MLkmEAepULpCBwkuAAJuMJqdjG+rbBDGwAlYkAE00AnhdxzFQAcskAIyaroA3GitbBCxILAiEAfsSxypUAYgwAKhd0jMXHW/XBDHsAlY8AFMEAlO2xue4AQZkAWcAGbR2cvM9swEoQp0sAIgQAYHnBu/UActsAJsUHaZdrmFd1MuqhBPTAYgMAS7MQpqQDl1AL7frMRLV0K2OxDDIAlEUI5zILWw8Qum3DiAK86dR89amApykAIj0AWR4JOqwQJmUDh0wLbfvMm5VrC3ZApvwP4CH+AFmwDQo6EKcmACHDAGgKvIBe18Jr0QxnAKZWACJOAEknDNmxEMkNC9MGAHGsbBnUdBFFkKbgDEWyAHA/AAfKAZwrAJXBACLEAHoxmujZyBOa0QxXAKaVCOQAAIgOAHlnFNHWACaOB3skrSYcfUFpUDghAIReADBvC6itELI1CdqnMQYHIEqCbXgFewEGwQA+AAOaABGhACPx0JXU0YvFDUtuMDPVCeqWcNmWDYE03RDSEKKU0CJpAGnCDSfEEMnzAHLpABLjAHiHAQmeChSj2FuqAJuiDPCpEKm8BDJDADB1ABVVAFeRELkBAGJPABXKAIfI0N6YMAzQXOlv4YDRJNECh9ATEgA9odA3OxCptgZR/wAm0AuAORT2tYAyCakyZtUQZwAdh9ARnwAm4gCb6bFqIQCW3AAiPQAmTACUMsi267AAyAAG/rlHTtUaQQCWMXAiGABXLg37VsFRVgBVYgAwdgAVrg0y+gBpEAz29W2Az0glq53h61Cp8gB7s0AifgBG8gCZMtFTFA4TIQAxfABZzA0N5JVAok0GepyQL8ELzgCY/gZB/wAS5QBnXACanwpkQx4VcgAxVgAHUQBxCWAScQ4xReASW13vNpKgTt4xDRC6eQCHCgBSowAoUjBm4QCfctEMS9EzJA4VYQAyfgrmmwCakAAgEw4f4VFdee/Y4Jcg2K/EsREQykIAl0MAYzAAIgkAHZvd0GgOe9EOEh8QurgAqfoAhxQAZdoAIqsAEcgOVWoOULQd1cbqc83CQCig0KABHG0Aoi0N7vzeAisAEfQAIv0ARjwAZ08AiPwOaiQAqmMOy8UOy84AvGzgusMOykQAqi4AmR8AiJ0AZmMAZNwAIcYAIjMAIm0AJgEAdy0AmnsAocsOcUQOo2JWa5wNQ3Hacl9ATb1Ad4cANPMHrIfujR/gZtEAZOQAMZTAIAXwIAPwIiAAIATwIGD/AgEAKgzgJE0ARhoAZt0OtsDgsvfkUHXttRqgPpVYM5xsMeUQzE0Ask3/4Kq3DyJ2/yrdALv0AMlA4RuZAJzEDRKxys5zMQl1CPTZKuT2ADeCDv9mYTsloqg86xL/tDYYYA2VYIhMBuWSjoNV8RRc/EkETXRx8Rt+QKPk7iqb71Gb/1JI6m0n31EsH1TOzjC1QqVU/zOFTPZP/2cB/3cj/3dF/3dn/3eJ/3er/3fN/3fv/3gB/4gj/4hF/4hn/4iJ/4ir/4jN/4jv/4kB/5kj/5lF/5ln/5mJ/5mr/5nN/5nv/5oB/6oj/6pF/6pn/6qJ/6qr/6rN/6rv/6sB/7sj/7tF/7tn/7uJ/7ur/7vN/7vv/7wB/8wj/8xF/8xn/8yJ/8yr/8zN/8zun//NAf/dI//dRf/dZ//dif/dq//dzf/d7//eAf/uI//uRf/uZ//uif/uq//uzf/u7//vAf//I///Rf//Z///if//q///zf//7//wCBTeBAggUNHkSYUOFChg0dPoQYUeJEihUtXsSYUeNGjh09fgQZUuRIkiVNnkSZUuVKli1dvoQZU+ZMmjVt3sSZU+dOnj19/gQaVOhQokWNHkWaVOlSpk2dPoUaVepUqlWtXsWaVetWrl29fgUbVuxYsmXNnkWbVu1atm3dvoUbV+5cunXt3sWbV+9evn39/gUcWPBgwoUNH0acWDHGgAAh+QQFGQDsACwAAAAAIANYAocBAQECCgMLCwscAAABFwgTExMcHBwjAAArAAE2AAArBxADMQwAACUAACsAADMAADsACTkDFzAFMTAjIyMsLCw0NDQ8PDx4ERBROjgQSRM1UxUeZB4kZB4TTzMoXSgyVS0oWzgeYywlZCUpZCUlaSUqaiYlZCoqZCsmaioraywxaSwtcS0wci8qZjQzbDM3ajc0czQ3dzc7dDs7eztPTxJVRDxhQj9CazxBej0AAEMBAUwAAVQBGFAFMU8GB2oGBnYCF3EEL3BNPU8RSU4aWUcaWVcvUlEkWlwpZUk8d0IVUXBDQ0RMTExYQ0NMUkxFRlhERFtUVFRYVldcXFxiXFpEe0NHekhNdlBFRWJjY2Nra2tubnF0dHR3dXl9fX2NDg2vFxWiIhvSExLqCQnLGCI8gjxDhD4+gkNEg0RHh0dLg0tMi0xQjk5Nh1JVhlVTjFRbjFtUk1Ral1piilthl11dol1hol5ajGNdmGJll2VqlGxsm2x0nXReomJopmhwrm5tp3J3qHd4tniAgH6CsX6Cwn0EBIQIB4kGFI4HB5kGLpAJCKQCFKoHCLsFKKgXT4khUoQIB8UOCMkGBdcDA+kEA/FwmoV8sYN+woGDg4OOjY+TlJSYm5icnJyErISHt4iPt5GWu5ajo6OopqesrKyutq+ztLO2uLe7u7vFsLCJxomQzY6Nx5KYx5iZ1Zmi0J2d0KKmyqan16ix1K+t17K22rah4aGp5Kmv57C357i687rC177C7b2wsse0s8jDs8W82sO958K99MLDw8PIycfNzc3T1NPX2dfb29vl1tbD7MTI6cjF+MXM88zM/czS+s7R6NLO+dLT9NPU/dTY+9jb/tzh/t3Y2Ojb2fHd/eHj4+Pr6Ojs7Ozk/+Tn/ujs/+zx/+7s7PTs7Pjz7PDs8vPu//L09PTz//P6/vb49Pn2//r///8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAI/gDZCRxIsKDBgwgTKlzIsKHDhxAjSpxIsaLFixgzatzIsaPHjyBDihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJs6fPn0CDCh1KtKjRo0iTKl3KtKnTp1CjSp1KtarVq1izat3KtavXr2DDih1LtqzZs2jTql3Ltq3bt3Djyp1Lt67du3jz6t3Lt6/fv4ADCx5MuLDhw4gTK17MuLHjx5AjS55MubLly5gza97MubPnz6BDix5NurTp06hTq17NurXr17Bjy55Nu7bt27hz697Nu7fv38CDCx9OvLjx48iTK1/OvLnz59CjS59Ovbr169iza9/Ovbv37+DD/osfT768+fPo06tfz769+/fw48ufT7++/fuhvQAYNnCdf/wA2gfAgAQONIx/CK4DUiYB8CcQgiJ1koUFAgDgBTsJ/mfKEgIIYIEoGSooSgUdWmBKhuiwowkFAhTABDEBxigaAAFkYqMXNrKjTYgL7tfffyEVAEABFFgYooJDbsGFAQB0gSA663QBgAFdbCHkJhlKAQAFXWQhQACmyChmZwMSBKRJmQCAyo8KhrQmO5wAgGGbAiHDTgHaCMTNBOzAKBCMfAqUpwD9icKOBQMV0+KYjGZW5o8EpYlKJyQWkAU3CaY4BZMGTDFngptYUIAAE2SBjH+DCDDMKJVKsWOC/iB1AsAgUBJ04YUPyuqpQJ6O0p9+mQyEqIO8AtBJo8hS9uiDdLKjXxQCZNEFohNsg2Ax7AQQhRdMBMBOMQims0QABkgrRQEgIgmtFFx8wA4FUMLqkSgAZHLmod8OhA43AATKjgE69lcMAIgK5G2zowCQRbIMQxZAvThm4sWFEAIggDEPbsHOwgJRwM6xApHy7kBdsMPEj9wIZMmQA6VDBTu+MtssjjQHW5AxPBpEr5PNFsCOOT9WOJCcbfrHr8/sGLNlswMX3PDTihE4oLfMohMsxxiaM+qfAAhRNJIOjorpg+oMlOYg/f3SJJsDafPw1HIW1EnOchPd7ME/ThB3/rYYMptOAIT2SXCzyPQL9eGI0WjmzADEPOcSAGC8SZP//QfAJuwcA0AFlZ85CABhPlg41hB2JOsgT/qH96ej5ul2359aLNAwXTerzZaI507YsnNGCsApP2rJX5pYKmh5sMNo2zmdaRK7zu27fupRwhQn6HPKzAotENHMHi2Q5hSUPRAxAVSg+/mAKQ6p2Y3/aEEAkhtpPJKYK21B5bUK9Lnzo7M9UMQRMwi4MnQQeuGKIIjyE4b4BTCBAGwb/SGf01YnEHpFD30YzAvv7pUm0o1ja4JbwtfY4aM7CWBHzGKf825HujO5TWp7G0i65FUQUQTggAlZR5ywVkF9AUtY/uwg1sYAYKgMGvEuG2ScALCFIS5sbCB8ElnIRiaQC0XhR3lylpr6w0L/cURWOMQQMlqURXb4a3ZmbBs7AochXzltYEg7ohznQqNBDMJGOcKZggLABAFMYVr/Mse1SCiFLnTrW0+C3AS00IVzpStbB3pQF2W2EQlNaHO78g+UJlcALSyJcgmSkgG2oIUrZSgKW+rCFEYVujm68i0PC8DbBjK3dSCPHZXKwqsglAUDkGthIdoEiQRAAV36p3lFm6T0NJKFt8FNhEDaUIcqMMN11EoUFBLAElDBo02wyEVCfKU47cKgNy1znOhET/O8mM52jscLATBn6dxJT/Csk5L1/synPvfJz376858ADahAB0rQghr0oAhNqEIXytCGOvShEI2oRCdK0Ypa9KIYzahGN8rRjnr0oyANqUhHStKSmvSkKE2pSlfK0pa69KUwjalMZ0rTmtr0pjjNqU53ytOe+vSnQA2qUIdK1KIa9ahITapSl8rUpjr1qVCNqlSnStWqWvWqWM2qVrfK1a569atgDatYx0rWspr1rGhNq1rXyta2uvWtcI2rXOdK17ra9a54zate98rXvvr1r4ANrGAHS9jCGvawiE2sYhfL2MY69rFu8Q8TIRvUBE2WsjylG2Z3ak0ablanyDjFMe712Z02oAEMKO1OJxGJQzwgB6rt/mkiDLGD2O40HE84rW11qkl1HMMhwQCFE3aLUk2maCERkEAHOoCCF1yBuCa9xjwTEgQlQEIJQ1hALqBLUgcYoVkIucQZWqCERziCEdztrgOeEI6FhOIKIYhBBniAiPSOdB3X8AU2FOKMP6SABXvYrn3v21nwEqQZfjgBDFThjAGT1LMFyYUcTiCDVjj4wdMtiDLu0AI1wOLCGCbtQHQhBxO0oRYgJrCIBQKNPZDgDK5IMYHzZ5BAjKAKsZCxSCE8kFa44AWs0PGONXkQWZzBBIGwhpBBymN2SAMOJ4gDM5bMZCIbxBMlsAKKqfxRHtfCCin4BJe7bGWCOEMOJZiD/jTG7NEnGeQVMIiBLNjcZhE3Iw4kCASdO8rjVqhgBrjYM0fXkQ5CF6QZb0CyoAed4Vi4YAYCXjRGITwNOYhAz5LOKIRrEedbZFrT081GIDyAh2p8etKkFcYVXvDhU1+0zAJZhQncsGZXVxTCLhaErS0ar2YFIwktsPCuKdqL6baiBW1AwrApygDpEoQaeTjBJZZN0Qc8oVnSSAIL5kxtiTaAvQR5RQrUUOtuP/Qap3D2QAQhAkCYO6LxOi47psEGFLT63Q61przZsYwkQBrfD/WP+ATSihHAwdQAb+h0BcEBTCd8oTSshhxUIOyHK5SGyzgDDCJtcYTS8BbjjkbH/i8+z1acAA8OecDI9zldQJzAEytP6HThkIIYx/yg83RGGTZ+c5yfiRcxwMGUe05QGsrCBG9AONEHWvIT+GHpBEVHvAYSCBGIGeoCpaEeKI71rJeOGm9owSy6HlB5SQMNMQgG2QE6T10E/Rlr/+c8c7GCNFAj7v6cpyxQAAe8+3PqBCfB0/3OzyeIg06fSIHDCV9PRPxgvVQngSoYr89ITKIRQBhIHuxN+XwuYhKUmIQhBHKHbXc+n4awfCME0oYXcPz06cSCDkY/EBnoAvb0XEc4sDCQFshgGbh3p5U9kYQkCCP47SydMmKAhrsjH52ly4UL1qD0578y+i54g/Wh/g+kWahADt3YvjjXoY42yeIEeRD/+K0pEFiM4A/qvz6QTL74+BvxVG1ixQl0bX85NuAU4sMKHgBz/WdEkZAIDWAnsSAIHnB1BZhBPgBb2bIALdACD2hED8AAT5AtHYAEPXCBGfQLvnAN7EAAHaAEilBfIIg+hSYQC4AEioBeK6g7TTAObbIHHqiCM4g4ryIQgKACO3g+hNYmf0ACNheEh1NobQIIJXCESPg0pQMIIvAKT3g4pbMHI8BtVdgwUagCWriFyQIl4gMIJPCFYNgoV5iFZ8gw5DeGJUCFa4gs/sEJAsEHJ2CGcSgjV3iHeYiGQPIHfNiHY1I6fyACeCiI/vhROqMGh4gYIwInEIKgaI0YI+hQfgIRCEQgAZPoiPgFiRa4iQGiewaTASagiaCYiOuwgRHQA0hgiqdoH4VGghGgBEoQBK94H/6RDgIxBJCgCIpwi/VROgtwBEogg8AoH6XDCiHQATxwjPOhDpbIDq2AApbgjPMhhgLhCiQwbdYYH+XXJrEgid34HqVzfvA3ju8BeOfnbujoHlZGCyqwB+3ojoRWNrjAAuk3j+xROrHgXPq4j/XIDiBABEPwj+thTZYIAkUwBLZokOjRW+xACyCgBA6ZHm6mDEhABM1YkedBZP2WBByJHlKnINJgBWiQDSFZHsbFDtSAA2bgfCk5/h6VqCDZUAUzMHQxKR4QUg1lEAMNlpM6WYkC4QZlwAtAGZRt8gYuAHxHCR6l8wYscHtN+R2ABwcu8HpTqR2PyA55oAJYmZXYsZV+gAJfCZbW0Vl1yAGeZpbbUTp+wAFjx5ZayX7scAkjYAtyqZVSJxCXIAI5lpdhuZfs8AkiEGSAeR2l8wkmYJiHWR2l0wom4ICNOR1ZIJgekAGSOZnRAZGxoAL1p5nPYWW24AGEAJrTsZK0IALnaJrQUTq3gALyyJqt+Yi1wAIoJ5vP0WvsgAspIAe4mZvfyA7K4AJx8JvOUWgtqAss0HfGyRz+kV/8BgNt0JzNMQ4bWIIiQH3U/rkcqSgQPUAEHQAC26kcncgDPWBdGzmexyF1Y8cD5YUImaeexoGWBFAEj/CL8jmf5MeSLQAC6Zmfw1GJKUINVSADAKqf58AO1ZAGMdAMB0ocEEINaZAEDvqgwrGVbIAEoGChFwokbqBsHBoc1yY+cfCJIeobjeADDkCC1kBzJ/oblTAJiKBy7CAHKcCNL7oblhcJPiAQcvACW5aju2EIi3AIArF5ZSmktIEFDOAAR3oCtKCkuuED1mYnXHkCQSqltnF5hpBa7OAHXqiluAF6kyCDflAChyimsOEDO/oDV5qmavoaOXAIs8UORGCIcWob5PAEXooELfCXeTobUCAO/seVBx7AiIEKG0W6A9fpcoCaqK8RCZTQCLQXCCnwqJDaGogwCTE6lC1wb5nqGj/QCJKAXh1gAqAaqqzxBA/wA/XFiqmqqqqxDtxwnRIQbLLqGqXDYbGaq6fhlk3oq6xhZX7QAnAqrKJhZYDwqcg6q0CChcfarJ8BeHtQAnEpraaBlld6rdhKGlY2cVHard6aiwKBB1cpruO6n+xABymwlugaGrCSDUqZpO+aGfISB+dar6ChSQoyDWogA/Sqr5ZBfuxnDWkAA8ogsJ9BsP1qBjeQsArbGQhSNtWAAzNQoRG7GeogmNGAAziAsRmbGcHJDtEgAzMwDSG7GaUjDDNg/gUwmbKXoXzMp2Qwixmlc49uULP2CiS1kALap7MxCySyIAL5CLSVUTqwIHhGe7TJyAGxubSSIS+gYAImCrWQES6QaAJWOxm6yQ52iKNb6xjPczJHmgEvELZXCyQStwLRiraEoa3VwAYrELBuOxjYACTUYAUwYJR1yxgP8G0CwbI4UG59mxg+cAg9yg7BwAJtAHeFqxiHIAmSMBBI8LOPixin4ACfJxBBQATTebmI4VsMMHqIEARHkAGgixjzRIsZ4C6pWxjoEEkC0QFEsACvaxj+QbbsAGVge7uAIS/OoAYvoHa+Oxil0wwzcLHFKxjfeFy5UAJqgLLL+7vlJz6z/jACdECz0+sX86QKIuAB2/u7hnaJVhe+fzFPcmCE5su96ioNapCv66sXbsYOzDADMQAN8bsXUCKU7FALLpAG0pu/eAF47LAKI/C0AnwXM7lu+5fAeJGLbVINUFZxDkwX8vIMaAC/FTwX8pILMWAF+LvBFnwmsVACbFB9IvwWNCQIG/CZKdwW8pINmzd5LywXd9smzoAGKUC3NVwWruULA1ELL1AFONnDbMFaPtAAA8EK2GvEcJEIhyCB7OBy/OfEbMGnSiwQ/voCbWvFYQElVtq/MpAEfOvFaUFDqkACzGnGZzxPgUACVczGZ5Fza6ACmCrHZDFPtNACSVDEeDwW/jR0CShQtH+cx/MUB4tZyGVBQ7hQfDysyFdBQ6yAAm0QwJD8FZ6Vvr17yV1BQ8qgt+7KyV4hySfwBoQrylsxvwJBBw2MyqM8dzOQBOHqylyBtQLxCS3wBi9Ly1gxknQSDWtQAhvKy6lcZrIAA/9GzFnRtQLxByNAyMpsFfEycMpQBTUXzVjhWZ8wAm8Astg8FTTkvpJHbU5AvPk2XZOMBkxJbR/AB7vscfNEDXKAAn+AwrtWC7JgzZlZUGLYLK6wAknwyJJ2DtUgCCgwA7NcdPMkDXdgAoBgz+Z2Ds8QbWwglWU3Xa/AAjJAgCPnDYGGZO+cT/xKJ9JABx5QtTH3/g1UmAKFENLtVGg0Jo0uYAVd9w0FTQI4cMfcN0/NAAdIJtAJdw7SsAcmgAahvH7T9QklUAVlHHffoAtxIAJwsM6uREACwQtpkAKEoL2E5w20kAZO580YNNIDUQ2FqAYQC3vdEGMnkGQZZNUCEQsy4AKrsH3eEArs4AL7DDX72yzRYKjuHH/VgHJchzj6BjQDAQoZsACBVoDU4MLIggWH1yy3EAMlwNEgOHjIElp6RBDSgAcmIAc/+c1R8Y33Yg2EQAJXkKWk/RRwLY0wUAI0LIh4SR+vfQto0G4uDYbFeQVdTB6vLQ15YAJrYNGNyAtzkI3hd5AC1yz9RQJJ8Ntr/siuVgAL3vCQEPYJLMACqoCSztgMdsgOqrDbbQlhrAADL+fd48gMf1AC7OAJ1ZCg3tFr4BULVnACq6mP1OAJLjDFzHDdeplhsoAGg0zVBlkNqhADJrAHwSDfjrmSBDELakACcmDcKSkLVmACaiAL1vANm/na7CALaWBw5tyUt4Bn7BAK3VAOzSGGMS0QEm7Cjc2W0BAIKsACfyAM38Dix0HWBeEKaFACcADUKUkNlzADLXAHtPANDh4cIC6NVVACcjDjoBkLbpACC0YN4LBvukHf4DUNCX7AYm2azOAHJJACe1ALy50bBUZa0hAILkACf+DHzdkK1pwErFALsQAN/gMHGwnSggWBC3aQAjEwzAeKC2NpgbXwDdDI5amhBU/+Cm9wAmZQ1yeaDfY9AjPADs6w4+qgi6fhyyL2DIKwAs/M2i+qC4DAAiYAB7Cw4+dwDgbGGQUWjQVRC9W6AnGsprPg0ylgB7ew4upwDQ4wqpqhb8w8ENOACUkwbhScqM6gCmZAAjJwCctQCgyACI0wCZNgGQ7QAFgQDitWC3pwAirgB0SupMrwCS/gATHQAewQg4zwAwzwW2L7BDpwCIuQELqQATNgAleg08KKC8taBLUIBBBgBLG+sYmBINfQAD8gCZRwEKHQBiiQAYJwfAorAUSABCGga97A5KYdGG0O/iVAbBCssAoT5gJpXrOt8AcwQAI3oGfeEOvoYAoIwA5jMAZ5kToZJhCMEAQdcAIG54RAuwyeYAUl0JsxxgsCcAFiMAZi8AUcfCQJ0QNDUAREAAICv7TMUAhxQPRmwA4KcAFgcAEJUAMzOetjgX+aRRDLAApt0AIhsAELcAKvKwuEcAMfQAMasAAa0OHn8I2mzfZUAfVS/wUDgAwb22QseQt/8O8wsAddD7rC8Ac4wAEUxgexIA1MvvAbm+xUEQY7PwZgMAAnYvjLEAochgJl8AdHvb678AltYAImAAN2sAq35w3gUPhvDxQXQAaJfwDIEC/JcACIP/X8zgpyEAMh/vACedCrDjwNtyAIabACJ/ACehAKW3YOnl5+g58hqfATYRD1po8AptBrGJAAXxAGB7H6eQADIcACcXAJ6Z6/tRAIq3YCInAGfqD7APGMHbt069CpW5fw2IALYsaIuXDgGDp06wZexJhR40aOGRN+XIfwWi9UDB2K+dLxIq9XgsqQIJECzidlKm3exJlT506ePX3+BBpU6FCiRY0eRZpU6VKmTZ0+heoUBKs/aVaQUIGGzwdg0jCeq4HgQpgvCWpUBJlW7Vq2bd0mVIfORoIvYDouA3VHzYsPI8r0caWrWlTChQ0fRpxY8WLGjR0/hhy5KLRYhNxkUDFixRo5dVTx/tKg8e1o0m136rJVyE6aFDGt7AlVy5pk2rVt38adW/du3r19d2x261KIDkSQIHmR5ArsWctyqoMePWR0hAerB4U269KdO1ZMoCixIo6fVbic/UafXv169u3dv4ef0RdGSj5B6XHzwgQJESRixKnjD1VWuQUXZqZRyhldbnFlFUH8iKMMEVJAAQUZ1MjDk1iUmS0+Dz8EMUQRRySxRKGmWdBBCNFgAQURTkjhhBZcUA6OOfTQg49ALvGkxx4/6fESHfnYA483rqgiBhU8GGGE/kgoY406BFnFFVyiycZELbfksksvvwQTsmqk2SWWWEIBxRNA9sgjDzjcuOIKNayg/pNONa5www042tzRk1BKiaWWZqgJs1BDD0U0UUUXZbRRRx+FNFJJJ6W0UksvxTRTTTfltFNPPwU1VFFHJbVUU09FNVVVV2W1VVdfhTVWWWeltVZbb8U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        "\n",
        "**Advantages of using Polynomial Regression:**\n",
        "* Polynomial provides the best approximation of the relationship between the dependent and independent variable.\n",
        "* A Broad range of function can be fit under it.\n",
        "* Polynomial basically fits a wide range of curvature.\n",
        "\n",
        "**Disadvantages of using Polynomial Regression:**\n",
        "* The presence of one or two outliers in the data can seriously affect the results of the nonlinear analysis.\n",
        "* These are too sensitive to the outliers.\n",
        "* In addition, there are unfortunately fewer model validation tools for the detection of outliers in nonlinear regression than there are for linear regression.\n"
      ],
      "metadata": {
        "id": "YeGTk9fDynAX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Using Polynomial Regression to Train and Fit the Data\n",
        "\n",
        "from sklearn.preprocessing import PolynomialFeatures\n",
        "from sklearn.linear_model import LinearRegression\n",
        "\n",
        "poly_reg = PolynomialFeatures(degree = 2)\n",
        "X_poly = poly_reg.fit_transform(X_train)\n",
        "poly_regressor = LinearRegression()\n",
        "poly_regressor.fit(X_poly, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C5mRQLQEksAj",
        "outputId": "61a1c0a1-8521-46f8-8f4d-e40031ce0a7c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LinearRegression()"
            ]
          },
          "metadata": {},
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Predicting the Test Set Results\n",
        "\n",
        "y_pred = poly_regressor.predict(poly_reg.transform(X_test))"
      ],
      "metadata": {
        "id": "hNr40TP2lXSd"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Seeing how our Predicted Values are comapared to real values\n",
        "\n",
        "compare = pd.DataFrame({\"Real Values\":y_test, \"Predicted Values\": y_pred})\n",
        "compare.head() # Seeing the First 5 rows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "kFERJNL9s7v8",
        "outputId": "b2d719dc-c1dd-4d8c-d2f7-d16494da35f2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-2749449d-d0e7-4826-b783-ccf5dac54376 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-2749449d-d0e7-4826-b783-ccf5dac54376');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     Real Values  Predicted Values\n",
              "173         23.6         26.511414\n",
              "274         32.4         37.242981\n",
              "491         13.6         17.089905\n",
              "72          22.8         20.939575\n",
              "452         16.1         15.781433"
            ]
          },
          "metadata": {},
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Evaluating the Performance of our Model\n",
        "\n",
        "from sklearn.metrics import r2_score, mean_squared_error\n",
        "\n",
        "r2 = r2_score(y_test,y_pred)\n",
        "mse = mean_squared_error(y_test,y_pred)"
      ],
      "metadata": {
        "id": "WGj0SWExlpjp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"For Polynomial Regression !!!!!\")\n",
        "\n",
        "print('Mean Squared Error : ', mse)\n",
        "print('R Square : ', r2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZRvSkOeHlsVb",
        "outputId": "649d7c5b-e655-4355-e6c3-f1769803a99c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "For Polynomial Regression !!!!!\n",
            "Mean Squared Error :  15.137626114230528\n",
            "R Square :  0.7935790919017975\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Support Vector Regression**\n",
        "\n",
        "\n",
        "The goal of the support vector machine method is to discover a hyperplane in an n-dimensional space, where n denotes the number of features or independent variables.\n",
        "\n",
        "A margin of tolerance (epsilon) is supplied in the case of regression as an approximate estimate to the SVM that the issue would have already requested. Apart from that, there is a more challenging reason: the algorithm is more complex, thus it must be considered. However, the basic idea remains the same: to reduce error by customising the hyperplane to maximise the margin while keeping in mind.\n",
        "\n",
        "Some important terms that are synonymous with the working of SVR are :\n",
        "\n",
        "\n",
        "\n",
        "1. **Kernel:**\n",
        "The function for converting a lower-dimensional data set to a higher-dimensional data set. A kernel aids in the search for a hyperplane in higher-dimensional space while reducing the computing cost. \n",
        " \n",
        "  When the size of the data grows larger, the computing cost usually rises. When we are unable to identify a separating hyperplane in a particular dimension and must shift to a higher dimension, this increase in dimension is necessary.\n",
        "\n",
        "\n",
        "2. **Hyper Plane:**\n",
        "This is the separating line between the data classes in SVM. Although, in SVR, we will describe it as a line that will assist us in predicting a continuous value or goal value. \n",
        "\n",
        "3. **Boundary line:** \n",
        "Other than Hyper Plane, there are two lines in SVM that produce a margin. The support vectors might be within or outside the boundary lines. The two classes are separated by this line. \n",
        " \n",
        "  The premise is the same in SVR. A decision boundary line can be conceived of as a demarcation line (for simplicity), with positive examples on one side and negative examples on the other. \n",
        " \n",
        "  The instances on this line can be characterised as either good or negative. The same SVM approach will be used in Support Vector Regression as well.\n",
        "\n",
        "4. **Support vectors:** \n",
        "The data points closest to the border are listed here. The distance between the locations is little or negligible. Support vectors are locations that are outside the -tube in SVR. The smaller the value of, the more points outside the tube there are, and hence the more support vectors there are.\n",
        "\n",
        "![image5.png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAesAAAEZCAIAAAA4y5rkAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAAPstJREFUeF7tfW2MXNd53hQo+qd//KN2M0CQ2tigSFC2RruIEK+QetKgE9dbVy4IIgqdzDorm5RJueLS9USLkM4yVM0qY0/C0B/KEmOPSJgkSl9kswxreZPBgoICcaMJSUiyFiOylqysB5QJi14OJYakLrbvuefOnTt37se53+feeQYDcnf23HPe85wzz33vc97znn+ytbVVwAsIAAEgAASyiAAxOF5AAAgAASCQRQQKWTQaNgMBIAAEgABTUIACEAACQAAIZBQBMHhGBw5mAwEgAATgg2MOAAEgAAQyiwB88MwOHQwHAkBg7BEAg4/9FAAAQAAIZBYBMHhmhw6GAwEgMPYIgMHHfgoAACAABDKLABg8s0MHw4EAEBh7BMDgYz8FAEBOELjZOrS/MLmrMLXYuqWO9En/a/HQi5vsb3c7Jw8XJg83rt716r14SWtN6tVz5ck95ZOvj1rj1Sj+LooAGFwUKZQDAnIj0Gfwyf3VCzctpqrd1dmpXcTvYHC5B9G3daEY/B9+/JbvBnEBEAACsSCgMfjUocqj+/o0bTTD/Ojio0/tnDIYPBYLUGnyCARn8Hff/cdfmf7CT9/+WfJGo0UgAATsdZKpp88uPV20CCnq642Hq9Wl71UHDG7WRrSfpxZXXnu5eegA02Em91WOvdC5zcUPm5Ktn/1k7RtPFZli81S9fUPdUntXV6vb9zAff6+ydv0et82kovBK2EPA0HtgJ9XwYkNvfU/p0Pfa/Uqoms0Li0WoMQ4zPjiDK8urNBjHjn8X3yUgAAQkQID74IutjbXq1JCQwphU/9xWReEMXi09xCjYeNvpLbzkl6sHOdFrb6L+9RaXaPT3w+c6GvkLM7jae+18xVwDVbX92y2dxMHgbpMrIINzB5wPGNxwCb69MCHvCKg3dLd38kB1+fWeTXf7DH7rp0TlJiFFk1BoAfPWi24++MB97jvUuoM84oMPSt7rXvh2iZFA36Tb1xp79xkLpI4rmbdfV7i7zbmePSLs6bvz1LF73bZChD6iBeV9iAP1LyCDcwecv+GGB0IeFwEBcQS4H2r4uXXl+nsOKgoForzHChsCBZdQaG3Tg8HNcSl8UZR/MsrgppJDdVokF7MPbjJWZ3nSW86va0KNRvSW1Vdd2LELqhEHbSxKjjA4GxJzAFD/Bj6MxvMXrzw0s0D0Tf8Sm48FVOgkEEgNAV8MrmpkrXOiLqFQfKEPBndi7ZHIQp8Mrl6/UmdO+oC++zL3iETOblciwY6pDYkkDY/64Nrtt69kaQ842g185PXFhadpJOhfSXoCM4BAnhHwoaKQY8u+xZoKYfLA0mZw9fraPFvt3FM6vNYdhIhbbk5mKgeDe8/oUQZXe5fPlPoPNYMbOBjcG0yUAAIpImDo4Exa1oWUn/2/gQeWJoMbwSr7Kt+4YqJvBpedipIijBlr2k4H1xYWrDdwMHjGRhbmjhsCZgbf4kLK/mONsvE8nSKDa02zIMWT12zWYPlK5vanm5cpMFHjdC62bD/T1iMax20offTXdiWzv4xgvoGDwX2giqJAIHkEhhlcE1JIshhsak+fwUfFbi7W8+d+y1/3zS5zZx3RhG5zyT4WRduDu6e098sl+xwLrEbo4Ml/R9EiEHBGwMLgnPic4kZcI0wc40+CrmTqPrgTgzOaNu3ooXXOU0rfHweDu895p2hCSx4cm0rA4GATIAAEgEC6CDgxOL+B26TIMcwFg6c7cmgdCAABIOC4o8clCoWjBgbH7AECQAAIpIuAE4Pfah875J7YFwye7sihdSAABICADYNr4ZnmzDL2KIHBMXuAABAAAukiEDAvClSUdIcNrQMBIAAECAEwOKYBEAACQCCrCIDBszpysBsIAAEgAAbHHAACQAAIZBUBMHhWRw52AwEgAATA4JgDQAAIAIGsIgAGz+rIwW4gMD4I3G/XJgqFQrnBT+Dc0n8vFCZq7fvjA4NNT8HgYz386DwQyAwCm61qcbLauqEb3FVmZ5WNwUkRmelHtIaCwaPFE7UBASAQCwJqp1kpTRV1N1zdbB2ZN9g8lgazUSkYPBvjBCuBwHgjcKfTONhYv9QoT2lueK9dr7c2x94Dx46e8f5WoPfZRKDXaSlnG9XpcmN9bDjsRmv+SGvz/mZrnrnh99cbu5u6Jp7NMYzKavjgUSGJeoBAIgio643Zx6uVbYUCUdnYMDgx93xrkwCm7pen9tcWdo9P312nFRg8kW8dGgECkSKgdhrlMWJwtdderOmqN/1cLxVKtbbNiZuRYpyNysDg2RgnWAkEzAiME4O/qVRYJGGhsFvpapGD6hvK7if9iOBqb/3EfFPK55X7lxoHlU4vuBgGBgczAIHsIZAUg6u9jlItFYk+i5XmegiiSRFidUPZPSut8fRIcbQyv8IPdQ7wAoMHAA2XAIGUEUiIwdX15vwJRty9lxuVyVJtLXvKRW+tVtrZ6NxJecDcmr/Zru2cVd4IxuFgcIlHFqYBAQcEEmLwQev3u8ruQkXpZmxE7m4oeyeq2hKoxC82msW9ysbdADaCwQOAhkuAQMoIeDI46R7cROMHEYudr6Jw7J3ZC31hDjiPH5fjxQJpbB8IbrSqU8HgBYPLMbSwAgj4QSBpBicqrBxtJ6ODM5pjyrvvl5E1RUeS9m3OF431Tz/wxlCWboE7ipWFI5Ud+6s7+ztLjXbYXwtFipf0LaWAwWMYLFQJBGJGIFEGVzda9W+2ukGe8YPBoHZX5rXlU8plNd/yzH1yt9tWahQgb2VwcmwnRz4MZlEkV2lKFL3sxCgtVZcp64twg2BwYahQEAhIg0ByDN5bV2qcviku5UqYuDc/4FH8X7OiO+LTtfZNz2sp4GR2YtiH5fkLZdHu+z747N4jRyojPvjWVlepBArwB4N7zg0UAAJSIaC5loPXDttAi0h0cLX7fJ1t/uy/rE5urLDwnTvaqzjbWPdcjOTb7gcqhHaTs80+y0MkJ4LpzgJ9dq7fUQfv58v1jzAYXGBEUAQIZA2BSBg8zk6T9HFeaVT7HF2pKe2uurnePLE6YOG73daCXqC04CXjqJur50zXchHcNvEA3QIrml+/2WmdYfJLIAHaGZxA9fMnBv+WgMHjnKWoGwikhIDEDE4u6rMab3LW1gBSu+0mY/OiNfJvk7LA6GqKN4mbseai80RFeXNkBCj+em+1cUK34exSq+Pp4PsaxWD1862n/X2nwg2CwYWhQkEgkB0EZGVw3a222+HpFFFHhDitqyk+9oX22jW6I9gy+GZHebJafz7wNkivWRCsfs7gvvO9gMG9hgN/BwIZRMDK4OTkLlFC2p3m4Gh1Y+mgni1Ei2Yr1YPxfh8e4qBJO5/XgK+/Plmq2wUmkg277WO3KRhmnjRtLokLnsvDGdwmuoP08ekge3xE9zQFrR8MnsGvGUwGAjEhMMzFxuKnWRc2+7x88W1nvAxOGalmaV3UKWbuTqe56BgQzbb18zXVYkkoiwhncBuXlq1wlqoNRemr8IJurw8GD1Q/GDymrwKqBQIZRMCGi9kGxWJfaNYjPUy6841W/UysDM6DQ4IHaGv2ayS+rdJ42StDi5OKMsjVpVVVrjbXxOQUQQYPXD8YPINfM5gMBGJCwI6LTTtcKGXVwa8t7h9seFE3nlu6dDNOBteEGpu1Sh8ADHb6eGcRsWNwim2fnx8sn/pomYoKMHio+sHg/sYDpYFAlhDgKrDny+iSHRcbW7fvbCw1ljY2TFsWb6w2n6W9jz4ZvL/J0NEsc2SFruSMRJv4GgUtRlAoPHwkFoU0nPmaV0jisDFsl43La3iZNED9Q60hFsXXTEBhIJBrBNwYfOPSUutNdcsg9PvGZkufDG5B0H0lMwIffIsJKdMC++zJMEs8OCUpfHw61MFs7j546Pp5NhjEg+f6W4nOAQFRBOy4mDuwe+vK81qqEZ3BV9bbq/2A6DgZnDbQtKqkY9sKIBQqc64fG+7URbaYWRJQwPXrh/dk0t1lm9gSqFPz7gweun6+owd7MkUnOMoBgVwj4MLg/TzU3EsdSh0VL4Nv9fdY0l6elU5/KZI2Rp5tNJ/zWE5kAYXT/o6YGMqLYklFwLURU1gLK+welOLO4KHrR16UXH8f0Tkg4A8BBwZ/cvfgLBhi8IPl4ci8mBmciRu9zupgMz07vK12tmWwuVMfaWfmboupAnBorDpRa/PDNbtrzaoeVG7StsX3QHqsZIasH7kJBQYURYDA2CAQjIuDXRUzqNo5Oz52Yxrm8IcM+8xf7F5CmbMYv+vrseGWWEcx8FW/ZoN/EZxaxZ7MmKcfqgcCaSAQjIuDXRVn/zQeFM2Icrd76eUhNYYtDzqd0cMeQfS1TVYs8lSFvurHGT1xTiLUDQQMBO5fPjUxWVeuvyc5JsG4ONhVsUGh7cKfED5Akoh4d7MzdMoN899tknEzMYdCw5f0wyPYEquTqx6scz7rJwPEuzlsEXzwYCMU7iq+KK+tpcSWpDichbjaAYERBr/Xvfy96vY9hcldhckD1eXXvfYKhkaWwjboRBp9/pSrDVKRbY7mCsbFwa4K3SX7CrT9O58UOd5Bu5556+XRhCdsK//OfiU85lpT3420iDzusC+Xh+tLsPopKGgWZ9WHQz6Fq3loV5CT8VIwNr9Naszr8Tb33srg91+tfXRf5eS13tat9rEvFR4+N+wDRg7czXb9YF3fB77ZWakzKrdLFBWMi4NdFXknWYU+Qr9Zbtqls3RXs/eH2PE9ZdtcWtxwbffm1Cfnl97wfUilUM/d62fPGbO7BdN12bQHH1xoEKIvpAXwR714Er2ZOavxp2//7IsLT9Pb6JcnfVMBVpgx9QjR713tql1l3xOzy2KpNUKjqXbONYeOHOPbZGxyRQXj4mBXhe7WSAV6DiyX/ZC2f3LKmcU0jYONS1pMimSv++367uZ6iCOkweCRj6h2y/U6nU/bbhDkYNPIzR2TCt999x+V5VXO1/SDU695ARdMRnVwtbs6O6WR+0dP8cC1BF+O4RbBuDjYVRH315RL1ieFR6tlR9ytmKoDg0cOrAiDGxua43lui7xPGa/w8kudh2YWiGTJ+yY33KU3vhlcfb3x8P7EfPARy7Xzc0VTZmd8FGG+HQLyM7i2BYBErsFB1FqAkXdyMo8BZ9qZ8p1aZdZ8UKwp5z1Pv0nnZP9UN0CX0ozskU43fAEG1yWUlQ1+3BS9SvNKxEc9Yb4PEPiV6S8QgxOPe4Lim8FvvVid2qcx+O31k18pTi22biV4VyaxuPx4f4+lZ+dQIIcIyM7gek5hRnIDzYEtTVhXLfqrwI7PXcNbZu2jQdgmroE2Tbkiq9Olys6SXue2WaWzsfodr3zC3gyudapYmj3S0PYW6zkz7Q8uyeGcS75L5HeTiiLSrieDj1Ryj0JDKlxFoViUU68kpIgzO+j4sZ2BYxhE0EAZ+RGQncE1BEePnaZPFpudO+HwtSS57x/AOkguM2hFJ9mp2fqqHkLq3LQng/PVJ/Lub/Yr4UkVxlHFCzeCjlc/f/FK5+qPAlTun8EDNBLJJZRjpFb1PuggkrZQibwIZILBt7jTOgidVt9YOnrek0q9UeeeOKds9a3OtWumjMn0yZutpSv98F4X5dozS7KRm4Hfj0ajUMDg3mMlWOIffvwWid1ExP+rfkLwEnOxjDA4haCdqTU9z6kJAECGLtGTSUUTyZ2hfg+bmg0G53kp+/rGXS0//d0IMOc5eRmD8/24Zpq+u9F69tIgyoc/B4hEj3j44DZRKAMzIujT2FZBOskzp/8vUTCp3i7RJu74ZIHB73bXGkP0TUmVTrSuJSi/JzjH2LfJmaPd/5qgmek1lT0GVzfOH7WJvfepg+uI98+d2nyj06VbAtc3mJrBD50ajAv540qzJpQ8wZ3BR315Y8nU1Fx6EyKjLZPSTcTNXW/3aJOMM3g/Qevwes+4biwAg2cls5XhpW7+QFEMZSM822gMPshW3He0V65cumRekeL++FtDGotj464MPiqhsL1nlJl4Lfbd2OHRkrsG4u5g2nd2VBQty4fNWr3Io6Hcg2drHT/kTNu3zHN9D78oMSyt5bp46Bnssn+TM+KDb3Gq3Tm/eC7M/qURfLTgk0HiSs7g2yr15zX+Jn95Z6n2Qnf9vML8cWP3xFvryplV5rPbvtwYfFhCudttn6iWJvvN+R+98b5CMLzEF0hZUFF8dSjThbUHVrdja+CDZ8UH5wwummRSfNbe6TTr5nBatdOcHeS85y6P6RAT5i8Xi5WvrTnSNzXt7oNTFPpitcQdqW2V2pkWwsDFh8tUkqJNSDb5futioKsdLwKDR4tnuNoGOVfhgzshmR0fvFb3d850uLmDq6VFwIg2oU064WUTSzfB4BKNO4tfcD/5DD54NnxwUhtabTe3V6JZB1PiQyCSaBN388Dg8Q2f35r5wWPl+XMOccPaw672GueAQnl9cG0Tzc7G+g/Xmt9xFp39zgqUzzACtC0+fLQJGDzDMwCmjyAgMYOzXTykFD9rm8AeQzmeCJCEEmvH4YPHCi8qjxwBeRk88q6iwswhwGWTOGJOHNeFvLLLZg5DGJxvBMDg+R7fDPeO4kz4Jh2RnIJR9RM+eFRIop5kEACDJ4MzWvGBAEWYfGbuK0Sm9G/k0SbQwX2MBIpKjwAYXPohGjMDyfXmuU0ij/UWARI+uAhKKCMPAmBwecYCljAEaK3y2PHvJql9m3EHg2MWZgsBMHi2xiuf1obJRRUtImDwaPFEbXEjAAaPG2HU74YA+drkcZNmIgmJg8ExX7OFABg8W+OVK2uNaJMUZRMLoIIMrl6/Ut+7jxcubH+6eflGPrNz52q65bMzYPB8jqvkvaIIE354fPLRJu7IiDH4zdah/XTU9tr1e1vqT1qHDxQSPuBY8tGFeQkiAAZPEGw01UeAKyepRJtEwOD3X6199LHK8nVelXr1XHnycONqFIdGYYYAAZ8IgMF9AobiUSBA8nda0SYRMPj11crkE7XL7+hV3XqxOjUg9CjgQR1AQBQBMLgoUigXBgGSTQKfXRmmXc9rdS2bK9oOb2slFgYfdsk9W0QBIBAhAmDwCMFEVTYIUJAJnX/GN+lICBAYXMJBgUniCIDBxbFCSd8IkN/Nc5sknKDKt6H9C4RWMuGDB8YXF0aNABg8akRRXx8BHm3yxYWn404JGyHkQgxukU0shB6hNagKCHghAAb3Qgh/D4oAhZrQaZZBr07nOiEG30I0YTqjg1ZHEQCDY1ZEiYBghIlgsSgt29oSaVSMwbeGdvRMPVVvY0dPtGOF2kQRAIOLIoVy7ghQFm+STUgzEQGK3PMkpRVj774niQsyuEgfUQYIJIAAGDwBkHPeBEWbEHHzaBNB2WRm4cvPLP9VMrj42rsPBk9mUNBKVAiAwaNCchzrIZeWok0464lHm9BVVP5jc/NxQxbgpAgweNyDgvqjRQAMHi2e41UbcTH53eSA+8osSH76zy38DnGlr6t8IctlkwAnRYDBfeGMwqkjAAZPfQiybYCnssy7Rx76owtf/czCH9P7IzNfKLR+vVDfvmPuEP/k8wtHBeUXEbAM2YR2EgmaZ1QLBhdBGGXkQQAMLs9YZMASLpsEOLuSLjx8/FuMH5fLhasfLrz7gcLbH2Q/1LfTh8ut5yLpPK2OckWe1lQDGEk2gMEjGQhUkhgCYPDEoM58QzzahDiOBIpgnWld/Lufn36UOeBbBfaub39gZi6SoBS6Q5Cbz2WTMAlYwODBRhZXpYUAGDwt5LPUrhFtQgxOPB7GdOaJkxtODvi7HyA1PBLxhCrhe/dJNgmprYPBwwwurk0eATB48phnrEWSIzivkW/rV1Ye7eqHpvcUTn/856Z3F2ceKRx/6LH6V8PAEV42sbQOBg8zHLg2eQTA4Mljnr0WSTYJ6dvyPhPhEkUSidNdgbRv/nMwOKKSTcDgwfDHVZIgAAaXZCDkMiMSvh7tEknVtJfHcOSJ0Eszvx9AlqFLopJNwOByzTxY4xMBMLhPwPJe3PBtI1GoLWiNkjU15ytoJEJF3nYkoaLkfYLnrX9g8LyNaJj+GEuCfjfphGlU8Frz/s9IFHkwuCDyKCYzAmBwmUcnOdsiXxKM1nQjkDHuWwt88GgHDrXFjQAYPG6Es1E/V5bDRFLH1M+4ZRPo4BEPnHqn944acZ0O1am33+mfNp1MgzK2AgaXcVRSsSmm1cvAfUlGNskjg9/uXFhtHDrAnycKU0/Vlv6+czsBVlV7V1er27/cuHo30KDf7Zw8XJg8LHb57c7yYunhc50EuhWoM4ldBAZPDGq5GiLZhGIEw8d3x9SrxGSTvDH47dcVg7s5g/P39jPt2EncFwWPThw/l6uvNx7eUwCDUx6IwN9AnoBCMKN/4FZwYeQImCOpfcWBRG6JbYXms+0DBBqGNDLjOvit9rEvFSb3lA6da129rUNx+0crx54qTu4qHnpxMyQ6Hpf7oeCQloDB+wCCwUNOpYxdHuEG9Dh6nvrZ9plmcPXquTLR9+G1rlVb4MxuEij6tK655083Lvyo1x9OrZL91dXX2qeeLmn+e3HvmRXjfrBFUskLtb37NKDMtwp2dqjh8rO7BSPZx8onX/7Bya/Q/aP/EEAKz1/3L9cUnlWjafMNQPt5anHltZeb+iPFvsqxF3Qt6NaL1Snj8WJ/9cLNLUerqFfq5oXF4uSe8snXc6m4gMHjICJJ6+S5nwLn7Yu1V/Q0IMPZ9uIMrl5/pU8uRGSriQjN7iPg5gKrP7nxVp/A1Otr89v3DAQWzsXHXuEkrjH4Y6XtAzrWxPTF1i12vdpdnR2wJ9fZ+Z/sGby098v6bWDf6oZ6b2P5KGPzofe+2WV+xxll8GrpoSE79ceIEQZ3tgoM7jxnoKLEymhxVE4sKWe0CWWk4mkF49hG5I7kMJtYyEX/1a6Gd9rHnijuPb9++73e5TMl0fW3EKOq3lj7BhNDCpMHqsuvGy6zqUaNQ/tU69wS98f3Vb5xRSNOvvxIRKl76BqDM+9YP75ZF9a5q8tJ9ku1y7e0+u91L3y7RA47+5OFgqliTaqePDB/4Sf6vUP7pLhXWbt+j5unM68uZ48wOHP/eeG+kUbvhlQUd6tCYJ6FS+GDhx2lSJKjhjXC+XrJzZNENnHncTt0mTs5wfzK+IbOXDOXAowbTF25/t5IwxqDey7u2SnIXH7hOoP5Z06zJhWCcyU9c/ylsvy37T4R9y0ZfghwlKqJjv+exl1Z/r4upzgyuDkuhfv4/U9sGNzJqmQGKLVWwOBhof/03B+HrSKe6/kpkeTYyhlwIolsQtibl3NdVJT7l09N9Dl04tir99Wuso/LwU/ULscdlyzM4J4+uCZBWFc1TR+OMPgwp99+pWZWYEjIXn61L7t7Mrjh7w8/6wgxuGvlblbF8+2SplYweKih4Mn2kg+ZcDc68CmRobAQvlge84ydqP5jchihFJPzwckV9lRROMu7xFPfvnb1p2pIBqdRvv2j1vJfasILJ2JDQ/dicJ1nD1RPtpgPfv7V7s+0NcnwDO5mlfC8zGZBMHiocftu629oEtOpBaFqifRi45RIOcO90zKPVnHNMFuS0/p/TGEP9RqDq73XzlemDC040rH0WRmXle3uK/e6baUypenXvlWUUV3FMKsfWKI7/u4Mzm8ww0DxNclIGHyAlcUqnyBmrTgYPNSIfWLuAJ048x9m/keoWiK9mFYFSTzx71RGaoRdZVzVoRteKub98vTnjSWBSJLTqtev1AdBdd8bEYVjx9OuAZt4cPX6qwqPB9efGERWModi70y6Cl8s7S9yMs/3WoNAEGJw/U7QD3Y0RSWGZXB3q1IZiOQaBYP7w5qctbmFrw0tfL37gffN/J7xye/OHUl38dC/O+kPgQClU5dNiLJpgOiBiRtPj/ByhlQGwNZ6CadUa8QehWN/u2VEgHhHEzoxuF004aQlHJB0Fe2TUWffolYbRtrcAEYjI+0cfBYzc1Tp3rOJJhxYhXhwh2mV+2hC7zizlx7QT+ylQ3uvfvh9058lOSV5AiVdQsIYQWPWpCWbmKctO5xz7lP0wBQBRcpfhXqjfb4f5uGQF8VwzB129Dgy+PDeGetuIN0l5/s/beWawYMLRQqeOnvhtfYgF8poNKFZ07dwOhev6G4xuqPHYhUYHAw+6tFon7Bj13/8S4zE6d/JXXQQe8LfbrMukXDTIs2lKJvwrFjHlk/z97/8jUcLR3bQGBmfnF7+frqPSiIAogwQ8EQAKoonRKzAaJAZcQT7kM5cP/1x+peO7k0ytx+1RQuVfBcMOblCfUiwkHmdMC3z6P7xi9N7C7/5mcKnPs1Gamam8Nf/iRYtCtOP/ML055K/3SYIP5oaIwTA4EKDPcrgJK3+8+nPkAL+azNffP/0LnpIp6N7heqKohA/JVLOaBNJUq/QXeT4M8uE0j/91V2FZ/4re1R69wOFhd/62Nw8vO8o5iDqkAIBMLjQMIwy+MHjf04fctYmh47cup0LfyRUVxSFyLGVMNpEqoN+eNwLReZ86GN7CrRiQfRND0yTu5J8VIpiqFEHEHBDAAwuND9GGfzjMwfNrhz9TFEo8S1jEu/EV7kQBK6FLOHV4SsMXwPd4ehNuLEnpNavsxE8/fH3z83Itv0qfE9RwzgjAAYXGn1bHdxyJbFYTCTLk4eQOylka+KF5JFNRp9L6CGJxu6BmTkibha8P7mLHp4SRwgNAoG4EACDCyHrki5D6PqgheRJHmLbA3lkEx6zSFHeFjt/e+7JufqfGXfWPzl96t9MS7T9Kui8wHVAQEcADC40FZJncCKdFHOueoIij2ziHrM4GilPTwxYyfQcXxTICgJgcD5StNX4cGX5utOwpcLg5FRSNo+YlJkwEzStQyxHbZY5pDIMwrgWCAgiAAbXgLr/au3TdO61dgC2XbLQ5BncGD+pYifIGL4Xl/QKGZYEKeBEzpBKwa8figkjoG625osF7VWcb20mlJdd2Dy7gr11pVouVluxHk8KBu/74N9oHPlTSgB0oHrqlZFjBm129IQaWruL+Sad0bU4yj8ugxvOdznyOxn9IINJkQ8BKpQdAXW9UZ4oN9azwN93Oo3ZSuPlHh0w1Gk1quVCYbLauhE5wmBwDqnau/wX8/p5fTYgx+qDc3Lkm3QsOxj5zs/kzx6zQCCJbMIzZKW1yTPy7x4q9IuA2mmUCzsanTu+L6TsurXds8qbfi8MUV7ttY9Wqt/UuHtbpfadpfaoZxii+v6lYHAdCTr+9eChU4vsYGybY63jY3AzOY6usBF3087Px+pfjWCoA1Uhj2xiZMiSOY1XIIxxkSACN1rVyUK50fHjgauMuyvFYqWmRMKg97vK7kJF6XqbTK63Ml/95lr3rnfZECXA4NwF/0nrSKPx2m0nJGNicCJontvEycsm7qZ9KB+a3hNiiINfKolsYoRUppJYPDh8uDJaBDZb1WJRWEIhAl09K8rddzWe38ZldhLaS1Wl07O9UQgzOAk+0wcT0OvB4Iy/Ny88s9tZQqESMTE41UyupVlTpp/5UuHg/fYHaSeh8atlL2i03xGjNnni0Pk5dnIm8IoJfJ/VbnZaSqO6Y1Z5Q6ec3lqtNDn41Wd11uLkxC6dbVR3mjVcdWPpYJOL0aT27iiU6u3enW77/NnabLm21mOfb5IDWiIujGwdj69k7mi0r6wQLzOeLVeVda0ty6uvO5eqjVbHroCl/M12bZrV1lxjMgdDr1go7lU2bH1nYQan+80Erbje1EaHhBTxe4+/AQODE17vdZcb7ofVRsjgIsHIzyz/FdsLfvHBQf7xH/8S8fhnFmJf1STZRLY4dMtNzt8Ez3lpTVjgL0NeUN9QZrdFRJ1G/WYCog+n+r4w0wqqpR1Hanv1QBGmU3cvKWejVg80S4o7qovnmXes9bFg1cT9crc2ObpKxcedRpjBt0xDw5z6E+145BQwOPfBG+XD2h3Y4RUJgxuassjKJHnBlC2LpWSipHpvf5COj6CU1nHTkbGgmm4cOvUdsS4+xprTmVkg3ny+udR3yX1U5FBUc0v7twRiyWdJcDDdIW606mc0bVrtrTdJcp4qH1yyd2BDmMIklEJxVtnQv6TcJbdEdwRicGvN7kaKMDhXwI+udGINI9TtBINrQAwOAtfki6mvWDTxkAweLBSP5G92dgRlZXr7g/9qZpeI8x74KyKJbGI8AVgOJg7cr/G4UJMyBlHSdzrK2ba9jDvwOvua7+j/ExVrzIZpCVF9q3PtmnlFUd14bunSzT7O4ouNGhW6vXYr3fv9avsSyiAKxZbBefE+j4uuXt7tthZI8OEKuI3OrjnpwnDRbexE9eBKLHEndrMZDG6DCh3t+sljrxrTh0qEYfBgoXjE1+R3k3LykZkvMEVlZubrp78bBx/JI5tI8gQQB8gx16kxeF9SUDfOH43QAWemG3eIO91LL3dV7Vfd5b+x2ny27xebS/qJF/FGZ/TGYLlpjVYhtpKpbboplKpN0UAVLx+cnldmm76iZbx771oCDG439pf/z+zJ181zMAyDk2YSYAcj8TU1yln74ksvkaJCRxOEHOzRyyUhTbpdEUTUX1rFjfVRI3IA5ajQ5KKqbywdPW+i1EgM7NPlxg87TMw12PN+r3NlKGajd2Xp7Df3F6PeusKEjm1Da7PCcSmDaMKzqyPhJXwN05e17gxOyFRGnmAiGQLHSsDgZmhutg7tp3jw0qHVzu0hJyIMgwcbQNqKScRtXEu8Rp9EuMPenBAqddIkA1xCKoMBOE5XGZLCxkZLWTWvmDEFwCxHBENFq7/4eGPth1poh87gK+vt1SGp92a7ea5zf7BtUu313mHlvfxWD6N46+ad9Ix5i5XmuotSNFynxuMjO3o0BdykPm2uN2ZHtHWLce59Yc8Kroa9qVQmo6V4MLjQnPbF4OR0U+SyUL3OhUbJOqr843xnI0L0Qg6QVJdrmxW3VY4sKgNJOkIDNQ4tLbT0ewO/YZTnW9zXp18PlmsvdC+dU9Zp7a6vsWz+QFGuCATzedqp0WI/KlHtrjUp2UjlaxHEunAGL0zX2jeN8MfCoJu2hnn64CRnWV7F0nyMsjgY3HMCsQKCDG7Olx2hvyxkolghY2djugmhaG2AbnJyQiQGpFylOIMPx4DrS4VRhBUSRx+ZH+T00Ch7wErcR67U+8Fc+u2k/ry2mkde54RPpcKCbV/R5sToFuXtvjo6ukJLG3lOVCn6W1/FrNRslBZfPjiFk3f64epmHtceg/iKaNRpucDgQl9FTwa35MuWMBjOPY+2EApRFDJCKkk2kfCozyi6mEYdm883mpREyaIdkKCxLdpn9gB90wg9vJIToGUZLqHsKPXSRK3N4iK0pxOhHfk+LAeDC4HlyeB8Fwz9K6FfKYlsYg6pTDfeXGjIM1SIct/ZbT4MnAcq0q6bA1cirTgblbHnlWmeTDGexIpgcKGJ4MngpJ/I6VFKIpsQysTaPNpEwpuc0CSQq5Dm3FH08kZ7yT7rnRzUGQ9tyTUUjtZoW3vml/TlgqCJFd07CwYXmgyjDE4epZyUbfSHbiqkNfPTGGQwlRCT4VAIofHOQKG7G8pelnJvxSn1h7YAWHr8rP9crFH2nq0WTpRm+abNMXlx6Z8kb3NCRL5aUJo9GzESYHDHWTWUXsqcaqr/Mym5ck5JSQ6xBGXLOT1gVZ4QAIMHZ3AZHNtR6ymWkR8Wka4ob+xETT3YPE9fV/QFCFgQAIP7mBJcySV+lPOQAXMsY4p3F3kOhfAxtCgKBLKJABjcx7jRKly6jq2TrYnJJp63Llo45eoTztL0MbFQFAgERQAMHhQ5aa5LUjb5jZl599VIIm5Em0gzNWBI/hEAgzuOMQ+j9vQ6U5wjZr0iAdmEmiPn+k9On0qxy2gaCAABMwJgcPv5YA6jlnDGBEs4HrIjy63nCnOfemBmzqiHqzfkdIesGZcDASAQDAEwuBU3SXafuwxnsITjweYHPYIY71+b+SId/EbJyom16UNaEvjF0uf5Jp1gleMqIAAEQiIABh8CkJxKmZP2JR/mQfezX5zeW5h+pHD644XlcuHdD7DTO5/5RKH8CAH17/7LvgTUm5BTHJcDgRwjAAa3Di4tDEqYlyoV2YRDQ03TCct0WhA78o0O7aT3f/zsP/uVXf/76ydz/MVA14BAJhAAg2+RFyl5po4kZROnWfuJuQPsxE6Nwf9Fefda+weZmN8wEgjkG4GxZnAjaR/FnMg5zMnLJrY40F4hFuV98UE6upPJKfXttKopJ2KwCghIjwDLY65nnA1t6/gyuDxJ+5wGUYZDLI29QsTgdFYnEfd/n/tD+nnnwh+FnnuoAAiMHwL327WJcrV2sHpkoVKMIG36ODK4kbTvE7/7h3IuxJFVMpz8a+wV+s3KH/zG3t83MpxQSDiRuISrBePHB+hxBhFgJE6pCyOgb+r8ODI4SRPEj+SDl2f+QDYFnOzhh0Wke/KvZa/Q6BZ5kublvPll8AudA5NZJlv9qLL+gZY56FXoLmxSevCS5Vg1+OChYdUr4NquVHquDLKJAS9Fecu8HzWqaYB6okJAjiOBoupNBPUQINOV5npPpcMzW41qiRKG67c36OA+4eWihCXN6Xdbf1OYmaEQC5+VxVJcEtkklr6h0rFAQI4jgZygVrttpVaZVbpJjkVvrVaZb3DuplOU7Y9SCmtQzlUUsyjx0itXiSiNNwuPo80pk7vMHyYvqkgim/CdqKQshZ1QuD5/CLBD1r1EW3YWT5EOfZPuKB7O3cVt2nk5dyMYHBE0eDO9dTpjrb7WjRWTPDP4qChBS3P6yTsLv1WgN0U3U2wc/UB7Did3PXX8ZMKrczLEw5jPQSZ8IpjiqCJnCHhzlnaEWGFHI90T3Sywk3ZxVpS7dZ7nWj69SvNKZ9N+GL3R4NfRQ8nuautG3HMhtwzOE1WTmGsRT+jXj8x8gSKa2QZxvsNwufzz04+2Lv5d3Fib65ck+4oMt5AkYc9ZW8Q7S8pitXywtWn4eXR+Zr3JmVQ7ZbhUW+uxct+pVXbW2jd137BaLhQmRfnFm7O0lczyYnv92VplmwcDCo4B8S/r2uPKBnectZOdi3v7v7rWouvO5Wqj1SEZ2uOl1VwolqonNCf9Zrs2XShsm1XesL/SGw3eHmEyXW291eusKpqQUig3Ij4iU2smtwxOrqWTR0l/ogR7TEIh+n77g1xI8RrmyP5u9nnTVS0onoT6TuJJkt2PDEdUxIQL7jGanF/2ofGrFgtRPljbrweKMBLZvKI0X/D3YO/JWZolxZ3zi0vrPeLaDWWWDAtDWIOuDZQZrVqvu44/7uZzSDuY2BIx4jK7PNHQr+XPJYZTX222/aEuOMFzxeCCIgBPX1W4+uH3zfweS7Y3N5PYGeqy+byJdVxwOqKYTwS4/2jw2mZnpV4x09zmar3JtenN9Qbx6mR5/tyGp1dqMcKDszhVmZ1WzSUX50SHPmuUbdbW1c3VM0u6S+5wTRAG59aKeffUrAiDawp4baVD97O4XzlhcCOWQ8SdNNTw08vf54n3Dh//VtxASyKbyJm3K27w81y/aQlR7V67trFiWlG8u9F69pIhI/hYbNTcUpdXxRzUwSUUs0QwyuC+KuwPF1OBiv0IPPLtO0qzLcSJOo+Lrl6q3RUK29a7a/Po4NP43suNaq0VyaqpwMTNPIMbe0/Et8AcPP7npKJwfZwn3vvX048JYBWwiCSyiXELSVe6CQgiLnNCwKA5tXvpUlfVtG89JmTz+eaSScy1EKI4pO5e5+iNIXBDFpO0evr3hrsbSw0PB9xyudBKpiY0FcrVpnDIiIcPTjJ6NckV3WwzuHGuLp05IB5GQpseLYUpakXEeRef80ZJ8yGW4hYGaMjlErrJUeoumfOeR9vf8apNp8uVjWvXmM46YM/NTvuayWNVe5fOn118vBhA3HDjLE1CGZIgIoxLGXj36sb5o+a7kfgYD6IJz7Ss4SVcgzI22ohV6srgbFvT0AOKWJ0hSmWbwYkfR6NNQqAR5aXk45NtxJu0mSim24OIuaR009MJmUEkntYtRMROlAmKAKO54v7m2jUt+k1n8PPr7ReGwjB67abSuU/8oi973u/1tHgVkZcbZ2mtm3fS0zaW0mSl8bKQ3OHRel+NuflG68RzodYB7Xf08GQAxiqC2ltvVmhJ1j0xgPf9bLax7hCJKIK2zzLZZnCfnU2ouJHPj6gz9Y3pPI1XireQhEAf32aIhqZK8yt9gtNYqbTQ12Hp10qt/cNLynm2vVvXWH6wuX5euXRTw4xE3smK8qYbfi6cxSQUgwHvdtsnqkTf9edDse3AFG2fZ7FyZHFpoOazv7Jd6YUIXF3O4EUWcEnRih2lytTw8nzLda3X0wcfXT8YDEdUlg8wkoXBifU890Pyc2rIpZX522qWTTx7JHNHYFtGELjRmj9iigcnVtpp4iDNR658bU1fWNM50d9GQTfO2uy0zugx4CykmgKwI3Q/ubXCUSI0YMxU59cI6avdtSYLjecvWvkcVVpGZoGHDs7DgSw2THjcI0NMNVkYnIjPPcmU+ZwaOdUASWQTfpPDzSPEl2JsLuV8F0AZTwghCh880bQqEjwyxCswPCELBZphslK5xoJoYrFcFgZ/4vjXnJJMSXJOjctYSSKbmNNjgcEFvlsoojm5EcgRcSBJssZzth69lgTRK09LHBYFq5OEpmk91DIOy2Vh8A9N76HVNlve4WcdjKaoDoZn5FcZS4UU4pIWb0qSHitybFFhvAiYQw/jbUm8dorG+2S5cWWjfd4hl5/cSRAtHWVbe57sZwKIxXIpGJxIsDjzCOUqsU1OQupEWszoPu/keTjgwYK+QirFv1IomVcEZMzorb6hzG4rVuorTnq6jHcdywTRlit1Yd2UEDEey1NjcBK+f3n683qmQNrjTjkCtVyvxjv1KA532YTM46bK8HBA9xJLAq+8kg76FR0CPJS7NHs2joRL0ZlpqYlFv0yUZs9kymitD/FYnhqDU49s0gRSvsC9v0u0+G/L+2KbAmErNq+ppvVwQO0KJoEJ21tcDwSAgMQIpMngBAutAVbr32C5XilNIPngD36W6HvuwNfTYkb5ZRMeUsk36cgZkyPxbIdpQCBvCKTM4ATn109/t3D8ocLnf4eJEv9t9rN/VJMQY86bkcgmYXxns/sP2UTCeQKTgEDCCKTP4B+bmy/Mfep9D+7+udLn6LgcCkpJGALP5qKN0qPbgGeLtgX4Hn2ewMu8YOD0c7BWcBUQAAIZQiBlBie1hAiIIsHpB54mkH6VJ2l15FF6/FCFYB2khwBj1RQMnqHvGEwFAvEhkA6D8+2LxEeUXNByOuUzy39FUXHxdVi85tFjNsWvdSpJicjjSEfOCT28eagBCACBbCGQNIObty8SfduuxaW+jGmWTULKzdRBqs14s41LFx+kf80fOoFANzl6i8wnMLgISigDBPKHQKIMLn/Wp8hlE5oxx0//JWPY6UdI5dejbij2hn6mTyZ30UKuZVZZVk1F5hwYXAQllAEC+UMgOQYnZzb1ZNnu4xeHbMJbvPjSS78w/Tm2a4mCJvl7uUyf0OcWk4IFm4PB8/fNRI+AgAgCyTE4WRNsBU+kGyHLRCibOFnCb2B0vDKjb/p3cteoPkPeN4WaUB4Yv0CBwUNOAFwOBDKKQKIMLiFGiR1iSfrM+6c1Bp+ZoX/pZ1u5n2g9wD4dMLiEUwsmAYEEEBhrBqel1MROIKPs5yR8//z0oxR7Q//SzzwfOq0NhFwspUrA4Al8Vca1CZanaaLWvj+u/Ze832PK4MbB7YmdQEYx7x+Z+QIna/qX9jH950ef4Jt0KLOgwyxRe5fPlPaudi1/vv9q7aNP1C6/Y3wMBpf8a5ZV8+63axPlau1g9chCpZidlNxZhTuI3WPH4InJJubRoEYpe7ghj9APx59ZJtr99x/b75ra8J32sWONq3d6V1er2/dMHHv1/tbdzskvlw49U92+v3LoaOnhczxDGxg8yNzP1TWbHWW+FOq0HYcaGIlTplTQt6TTZbwYPEnZxGnASf7m0o3AiRDkg/9F9U+/XZnaUzr0vfb1e1qd73WX64yy+/QNBpf0u5WgWZTpe7rSZGcZ9zqtRrVER6e5H7g+Ypt9DfH44IPTKUvVZjuiU5ETRFuqpsaFwZOXTVyGmbhb9PD426/UD18YOjpbfb3x8KHahb+tba9WL9zkrcAHl+pLlYIxdBhjZb7BubtSO+twvI2bYY41uOrgRPHT1Yav5ti5kdNVZZ0OjlS7K/OlaY+z4VNAM0tN5p/BLbtAUxmcAOElup3qT1pHFmvPPF0adrotvQCDpzKsEjXKTvOa93cCvcX6oDWo3bZSqxTpvkHH0WianuuLDlGbNj0faKdMlOptenrAKxACOWdwGXaBchsCJZW9171wqnryGnkr7i8wuBdC+f47HcC4u9q6EaKTYWsQ5XF2Tk2x3FgfEDb7JDsHz4eAOKZLc8vgPHlWurtAw9pw68X5/7k6JKE4zAIweExfj4xUe4OOQ6+23up1VhVNSCmU9cPRhe0PXwNrSufxQrnaaHVs3GrN4y4M8zU7PbLoV7UX7lf+C+aQwc2ySVqHbUZjw/XV3Sz+xPsFBvfGKM8lODP2X0GWB8PXYMJXX00d5XHtsPbCjkbnzqC0xuD+bzl5Hk5ffcsbg8sgm9AA8DzgAtEmroN168Xqw99u6SEobiXB4L4mfa4Ka/p1baXjKbU59jp8DZaqweAJzrD8MHhYySJq0MPvtNzaukerRJUplvtbe++rOGjiYPCoRy8j9fVeblRrre7d4OaGr8HctiN380LwwYMPlNOVeWDwAOlYIweSyybBY05EDKI4wk+fsd3dDAYXwS93ZSiuozqkSPjuYfga9CbFVjK5VjOsorCVTN/R6747mt8LMs/gwdKxRjugxkYhvzkF/Zlx+5XavvN8E6bl5cLgqR+X4a+PKC2MAO3BKVcUa8YF4cupYPgaWCW+oglHIk+YDZa1TT9dQNkMMzhxkxFtEi91Ok+TRDYKqZsXFoukomxfVK7etrXFicEJIuekK5j8mUZA82eLs431zaDdCF/D1hbt6NkmGAnOzaSgl0nEgwcdMjvvLXBdnD0FjwEL3IrthRbZJF7twtl0cr0JAYr1ph+i7aDf2pwYnNIf0olufmtD+UwgoHmvI6/SQl8Wf1OpTFaUN/t9YVtpCsOM77OGaFAx7cNUex2lij2Z4XDNng8ug2zCMScHnDzctO4f5nF3YvDH6l+lP6X1gBJuZuJqTwQ2Oyv1yiCKkLP5hIm1TTWobyiz29jfh0LF/dRga46e92r0TsI/sc+HpXafr1c0Y4IEPnrCMl4FssTgMsgmcsrKtgxOtxb2+fGH/uT0qfGa1GPbW5ZypFxr97a6SoX40SZV4Y1V5QU32cW7hrEFV9KOZ4bBaW8O5ynXdKwxoszT0pJmIoPTbemnweDkbn94el8/+nDX++dmCj/+JePXtFSvGEcFVZsRoHXCab4bU4vbs65zqr3188qlm26YedQAuKVDIAMMnsAhlp7DIkNaWhcjzT44Pz6isPBbhXc/MDhY+aUH6Fy3r592OkrCEwAUkB4BtjHnSWVDiw1nGx0nhtKPUMjIkuKRQ9C9BukBGE8DpWZwkixoWyNfLQyUGSqCMTXuH4md5iNitNmtdvr5fTO/pzP4xQd/YfpzUMNFgM1aGZb6VVOceUSIvrVHW6IcDrt27Fj4GrKGWb7slZfBSS3hJyHEvlPGdUS5cpJ6tImtbOLO48WZR5gbfvHBwksP0Blv+Zq36I0LAjxMsDR71nbzgAh04WsQaQVlIkBARgaXQTYxoCXVW0Lh23PkafWShBRSTiiasFDfTlwv5xqsZ0dQAAgAATcFNTA6ccSDSyKbpJXRMPBYjF74wMwcKSeti39Ht5+5+p8Rg1NseIT1oyogAARkQEAiHzx12cR8/5BhbALbQIuZvz33pDm11unl7y/UvxW4QlwIBICAnAhIweCJ7E33wD/1+0eE84O4e1T5ET2ZM0I7UBUQAAIxI5Ayg/Mg69T3pj80s8BjpaNICRvziKF6IAAEgEAfgTQZXJ4ga3LA04pWxFQEAkAACARGIB0Gl0E2yWKESeBhxoVAAAjkEoEUGJy83XRlEx6tSHuFcjmi6BQQAALjg0AKDM6171RcYCM3VoqbPMdnbqGnQAAIxI1ACgwed5ds6zenFE93k2cq3UejQAAI5BKBMWJw8rsRbZLLSYxOAYGxRWBcGJwGGNvKx3aWo+NAIK8I5JbBuWyCbSx5nbjoFxAAAoRAPhncOImNJG8MMxAAAkAgrwjkjcFlOIktr3MF/QICQEA2BHLF4KSZpHsSm2yjC3uAABDINwK5YnAeaY4Vy3xPWfQOCAABA4HMMzj4GrMZCACBsUUgwwxOHjctVJJsghMgx3b6ouNAYMwRyCqDU3IVfoombdKBGz7mkxjdBwJji0D2GJxSePMD3ig7FbzvsZ246DgQAAKEQPYYnHvfOTjKEvMPCAABIBASgewxOHUYsknIUcflQAAI5AOBDDA4ySYUI5gPuNELIAAEgECECEjN4Ea0CckmOMEywlFHVUAACOQDAXkZ3Ig2ocN0IJvkY7ahF0AACESLgKQMzg+wp2gTJBeMdrxRGxAAAnlCQFIGJ+JGtEme5hn6AgSAQBwISMTgULrjGGDUCQSAQI4RkILByeP+zNxXaLkyleOPczy66BoQAAL5RiBlBufZBEnyJvr+futivrFG74AAEAAC0SKQJoMTZfPcJkTi8L6jHVfUBgSAwDggkCaDU3oTEk8QbTIO8wx9BAJAIA4E0mRw+N1xjCjqlBYBTHhphya7hqXJ4NlFDZYDgQAI0OMmbXGgrWoBrsUlQMAWgeAM/tCnD/FDKfEGAkDAFwLgcdBxVAiAwXEHAgIpIID9xlFR2JjXE5zB+bZJvIEAEBBEwMgVASFlzGk3wu4HZ/AIjUBVQGAcEKBdx+DucRjoJPsIBk8SbbQFBIAAEIgSATB4lGiiLiAABIBAkgiAwZNEG20BASAABKJEAAweJZqoCwgAASCQJAJg8CTRRls5Q+DexvLR4tRRpXuPOqZ2V2en9pSOvdLLWS/RHYkRAINLPDgwTX4Ebr9S276nuG91435X2bevsP1M+7Yqv9WwMDcIgMFzM5ToSCoIqL3LZ0qT+3buPVSc/FLt8q1UjECjY4sAGHxshx4djwqBW+1jXypMQj+JCk/U4wMBMLgPsFAUCNggoGr6CRgckyMNBMDgaaCONvODgLaYOXmgeuzrJago+RnWzPQEDJ6ZoYKhEiJgij+52Tq0HyuZEo5Rvk0Cg+d7fNG7WBHQFPB+/AmiCWPFGpXbIgAGx8QAAkAACGQVATB4VkcOdgMBIAAEwOCYA0AACACBrCIABs/qyMFuIAAEgAAYHHMACAABIJBVBMDgWR052A0EgAAQAINjDgABIAAEsooAGDyrIwe7gQAQAAJgcMwBIAAEgEBWEfj/rb8+vb4VWpoAAAAASUVORK5CYII=)\n"
      ],
      "metadata": {
        "id": "tCRxCmPIluDO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Using Polynomial Regression to Train and Fit the Data\n",
        "\n",
        "from sklearn.svm import SVR\n",
        "\n",
        "svr_regressor = SVR(kernel = 'rbf')\n",
        "svr_regressor.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dqRT9pa_lyVf",
        "outputId": "04fbf0d8-8d50-41e7-9b67-6ae44c05c70f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "SVR()"
            ]
          },
          "metadata": {},
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Predicting the Test Set Results\n",
        "\n",
        "y_pred = svr_regressor.predict(X_test)"
      ],
      "metadata": {
        "id": "Gf3UEnGomI2c"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Seeing how our Predicted Values are comapared to real values\n",
        "\n",
        "compare = pd.DataFrame({\"Real Values\":y_test, \"Predicted Values\": y_pred})\n",
        "compare.head() # Seeing the First 5 rows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "Gy7ebZ97tBAj",
        "outputId": "97409993-92b8-4fc8-88d2-4a2e09f6a859"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-96548475-2d00-44f3-aedc-6d9601a3d7ce\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Real Values</th>\n",
              "      <th>Predicted Values</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>173</th>\n",
              "      <td>23.6</td>\n",
              "      <td>25.860061</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>274</th>\n",
              "      <td>32.4</td>\n",
              "      <td>27.924914</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>491</th>\n",
              "      <td>13.6</td>\n",
              "      <td>17.450623</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>22.8</td>\n",
              "      <td>23.080531</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>452</th>\n",
              "      <td>16.1</td>\n",
              "      <td>16.723379</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-96548475-2d00-44f3-aedc-6d9601a3d7ce')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-96548475-2d00-44f3-aedc-6d9601a3d7ce button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-96548475-2d00-44f3-aedc-6d9601a3d7ce');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     Real Values  Predicted Values\n",
              "173         23.6         25.860061\n",
              "274         32.4         27.924914\n",
              "491         13.6         17.450623\n",
              "72          22.8         23.080531\n",
              "452         16.1         16.723379"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Evaluating the Performance of our Model\n",
        "\n",
        "from sklearn.metrics import r2_score, mean_squared_error\n",
        "\n",
        "r2 = r2_score(y_test,y_pred)\n",
        "mse = mean_squared_error(y_test,y_pred)"
      ],
      "metadata": {
        "id": "YIAZqnblmLGV"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"For Support Vector Regression !!!!!\")\n",
        "\n",
        "print('Mean Squared Error : ', mse)\n",
        "print('R Square : ', r2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "znDA5jk0mNAG",
        "outputId": "e6864b3b-6bb9-40d9-ffed-e081d2b1dd50"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "For Support Vector Regression !!!!!\n",
            "Mean Squared Error :  26.535511004400252\n",
            "R Square :  0.6381543422301276\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Decision Tree Regression**\n",
        "\n",
        "Decision Tree is a decision-making tool that uses a flowchart-like tree structure or is a model of decisions and all of their possible results, including outcomes, input costs, and utility.\n",
        "\n",
        "Decision-tree algorithm falls under the category of supervised learning algorithms. It works for both continuous as well as categorical output variables.\n",
        "\n",
        "The branches/edges represent the result of the node and the nodes have either: \n",
        "* Conditions (Decision Nodes)\n",
        "* Result (End Nodes)\n",
        "\n",
        "The branches/edges represent the truth/falsity of the statement and take makes a decision\n",
        "\n",
        "![image6.png](data:image/png;base64,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        "\n",
        "**Advantages:**\n",
        "* Compared to other algorithms decision trees requires less effort for data preparation during pre-processing.\n",
        "* A decision tree does not require normalization of data.\n",
        "* A decision tree does not require scaling of data as well.\n",
        "* Missing values in the data also do NOT affect the process of building a decision tree to any considerable extent.\n",
        "* A Decision tree model is very intuitive and easy to explain to technical teams as well as stakeholders.\n",
        "\n",
        "**Disadvantage:**\n",
        "* A small change in the data can cause a large change in the structure of the decision tree causing instability.\n",
        "* For a Decision tree sometimes calculation can go far more complex compared to other algorithms.\n",
        "* Decision tree often involves higher time to train the model.\n",
        "* Decision tree training is relatively expensive as the complexity and time has taken are more.\n",
        "* The Decision Tree algorithm is inadequate for applying regression and predicting continuous values.\n"
      ],
      "metadata": {
        "id": "0PdBQnZZmONB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Using Decision Tree Regression to Train and Fit the Data\n",
        "\n",
        "from sklearn.tree import DecisionTreeRegressor\n",
        "\n",
        "tree_regressor = DecisionTreeRegressor(random_state=42)\n",
        "tree_regressor.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Vru4d8xAmVk3",
        "outputId": "cfe79f3e-fc1b-4e13-8d5d-b6d4d09f9b14"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeRegressor(random_state=42)"
            ]
          },
          "metadata": {},
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Predicting the Test Set Results\n",
        "\n",
        "y_pred = regressor.predict(X_test)"
      ],
      "metadata": {
        "id": "B8MqHcSumlI4"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Seeing how our Predicted Values are comapared to real values\n",
        "\n",
        "compare = pd.DataFrame({\"Real Values\":y_test, \"Predicted Values\": y_pred})\n",
        "compare.head() # Seeing the First 5 rows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "took2mOMtEPs",
        "outputId": "edd4894c-490f-44b3-a8eb-f8c619644d74"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-65c0bbd5-19e0-415b-932f-7ee27a9baa83 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-65c0bbd5-19e0-415b-932f-7ee27a9baa83');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     Real Values  Predicted Values\n",
              "173         23.6         28.208609\n",
              "274         32.4         35.313611\n",
              "491         13.6         17.062509\n",
              "72          22.8         24.600272\n",
              "452         16.1         18.863065"
            ]
          },
          "metadata": {},
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Evaluating the Performance of our Model\n",
        "\n",
        "from sklearn.metrics import r2_score, mean_squared_error\n",
        "\n",
        "r2 = r2_score(y_test,y_pred)\n",
        "mse = mean_squared_error(y_test,y_pred)"
      ],
      "metadata": {
        "id": "9N7RLCe5mlw0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"For Decision Trees Regression !!!!!\")\n",
        "\n",
        "print('Mean Squared Error : ', mse)\n",
        "print('R Square : ', r2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vY48DeNQmnEm",
        "outputId": "0acf45e3-067b-4ba9-d5ec-cc057af6c27b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "For Decision Trees Regression !!!!!\n",
            "Mean Squared Error :  26.964454101594814\n",
            "R Square :  0.6323051540564204\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Random Forest Regression**\n",
        "\n",
        "A Random Forest is a collection of Decision Trees, Each Tree independently makes a prediction, the values are then averaged (Regression) / Max voted (Classification) to arrive at the final value.\n",
        "\n",
        "The strength of this model lies in creating different trees with different sub-features from the features. The Features selected for each tree is Random, so the trees do not get deep and are focused only on the set of features.\n",
        "\n",
        "Finally, when they are put together, we create an ensemble of Decision Trees that provides a well-learned prediction.\n",
        "\n",
        "Each of the decision tree would independently decide based on its own subset of data and features, so the results would not be similar.\n",
        "\n",
        "Each tree would have 3 major nodes\n",
        "* Root Node\n",
        "* Leaf Node\n",
        "* Decision Node\n",
        "\n",
        "The node where the final decision is made is called ‘Leaf Node. The function to decide is made in the ‘Decision Node’, the ‘Root Node’ is where the data is stored.\n",
        "\n",
        "**Advantages :**\n",
        "* It reduces overfitting in decision trees and helps to improve the accuracy\n",
        "* It is flexible to both classification and regression problems\n",
        "* It works well with both categorical and continuous values\n",
        "* It automates missing values present in the data\n",
        "* Normalising of data is not required as it uses a rule-based approach.\n",
        "\n",
        "**Disadvantages :**\n",
        "* It requires much computational power as well as resources as it builds numerous trees to combine their outputs. \n",
        "* It also requires much time for training as it combines a lot of decision trees to determine the class.\n",
        "* Due to the ensemble of decision trees, it also suffers interpretability and fails to determine the significance of each variable.\n",
        "\n",
        "\n",
        "   ![image7.png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAArAAAAHJCAYAAAB9gQoiAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAP+lSURBVHhe7J0FeFRX2sfXpduu99vdbtvdrUFLW0px9xhJILgmuFuIQhIgBAju7pDgToKT4O7u7hbcad/v/N+5Nx3CRCaZydj7e57zwJy592Zm7rnn/M85r/yMBEEQBEEQBMGBEAErCIIgCIIgOBQiYAVBEARBEASHQgSsIAiCIAiC4FCIgBUEQRAEQRAcChGwgiAIgiAIgkMhAlYQBEEQBEFwKETACoIgCIIgCA6FCFhBEARBEATBoRABKwiCIAiCIDgUImAFQRAEQRAEh0IErCAIgiAIguBQiIAVBEEQBEEQHAoRsIKQSzx9+pRWrlxJCxcupEWLFmVa5s+fT2fOnNHOtn9++OEH2rJ1K4WEhtHXX39NH3/8Mf/bOTCIVq1aRc+ePdOOdD5evHxJq1evocTE5Xyfrc3ly5dp7ty5tGbNGnrx4oVWKwiC4DqIgBWEXOLCxUv0wQf/pp/97GdZLkOGDdfOti6PHj2m7du3q894Uasxj4cPH1GLli3pV7/6Fb377rtUrFgxKl++PBUqVJjeeecP/F2qVfOji+o3cEbu3E2hTz79jP72t7/ThQvW/45z5szh3/Szzz6nW7fvaLWOBSY8589foK1bt9FLNQEQBEEwBxGwgpBLPH/+nLZt20bJycm0fv162rhxI61cuYry5MnLYqRf/wG0ZcsWfg8lKSmJLl+5op1tXYYMHcafYfiIUVpN1vnxR6LmLVry+ZUqVaYTJ06qSv29H+nw4aNUrlx5fr9MmTJ069Ztw5tORErKPfpUicm///19unjpslZrPXQB+/nnX9CdO3e1Wsfi+vUb9NVXX9N///cJ3XbQ7yAIgu0QASsINuTJkydUuEgRFiOrVq/RanOfyKge/BlGjR6j1WSdrdu2069/8xv65JNP6dJl0+Lt+o0b6nsW5b/RsVNnrdZ5EAFrPpcuX6H33/8/bjdYwRYEQTAHEbCCYEMgYLHNDjGyfMUqrdY0jx8/odOnT9PJkyeVaMl82xhbtDdv3aITJ07Q2bNn1d9K3zYzulcMf4Zx4ydqNVln4MBBfK5/QGOtxjTz5i+gX/361/TddwXo9m3Tq7AvX76iS5cu8Xc8deoU3b9/X3sna9y5e5e/75UrV9T315aBjbh//wFf+8KFC1netn756hUfj/PS+zxZEbBYjb6rhBquc/r0GTbbyC7mCFj83YsXL/Lvcv36dW4XWeG1Ou7K1at8Xnr3Kydcu3ad/vGPf7IZxL175t1nQRAEEbCCYEOyImAfPX5MMTEx9O23+ekXv/gFH/vBvz+kxk2a0tGjx7Sj3uTQocNUq3Yd+te/PuDjf/nLX1L+/N+xmcKDBw/5mFdKmPXu3YeaNm1KBQp8z8cVL16SWrZsSf7+/jRp0mQ+LjNatWrF57Zp206rMc3dlLu0du06unHz5lsi6uHDhzR02HAqUbIUvffee3w9lC/y5KHOgV2U8HtbpO3dt58CAgJowYIF/F1iYnqn2hi/994fqUHDRnT+gsGm9/Xr1zRkyDDersb7v//9O+TrW1X9Tof4fWMmT5lKgYGBSmA+4t/Rw8OTfvvb3/J5EIwDBw2m52kcpzITsLAtbt68Of33v//j6/z85z+nL7/8irr36KnEofk2rOkJWIjOYep3bNGiBYvtEydPUc2ateidd97h47Hi2aBBQ/W7XNDO+InE5Sv43sNB7MqVq3zcH//4Rz4Pv2twSCjdSyPg4bDWo0cP6tChA7dlU+zavYfb07TpM/j17t27+beoU6cu/e53v+d71bBhQ2rWrBm1adOGzpw5y8cJgiBkhAhYQbAhmQlYOEdVrVqN3y9ZqhT1UkJ20KBBbHP6hz/8gf7yl7/Q+g0btaMN7FIC4d9K4P75z39WgqQVDR06lKKiulP+777j6/hVr0HPn79g0Ve6dBkWxXC+wnu//vWvlaj4Hf+/SdNm2hUzZugwg/1sseIl0hUxGfHgwQPy8fHlaxQoUJAiI6OU2Bys/o2kr7/+huur16j5lmicN28Bv9epc2clfNrS+//3DwoKCqaBAwdSZTd3fq94iVK8PR0e3pXFW1slsoerz6v/PYj6a9euaVc0AOELIbpq1Wr69NNPyU1dq3///tSjZ0/67PPP+bwOHTq+scKbkYA9cuQo5c37Jf/ONWvVogEDBlC/fv1TPwNMSMy1dU5PwGIFu2KlyjxhQVSEL7/8kgoWKsTtJjY2lu83zkObSytGsQr/i1/8kpYuS1ATmRJUuHARNcHpTX379qUimvkHRP9jNaHSwfeGDTcc91JSTJsBzJxl+KwBjZvy64ULF/GE4De/+Q0LeZTfqjaH13/5y19p+46dfJwgCEJGiIAVBBuSmYDt0LETv9e3b+xbq5Y71ED/17/+lfJ9/TXd1kwKXr/+gapU8dGut4LrdLAiV6myG783UVtdhRhBeKvQsHCuHzR4CDubQVRmNRzU2XPn6MOPPuLz8XnNddLqFhHJ5zZo2JDNJIyB+KxQoRK/v2jxEq3WwAIlhFCPVeZvvv2WhaLOE/XZK1Q0nFfNrzrlVUJu585d2rsGoYeVSbw/aNAQrdYATCGwKsgr1v0GsJOazo0bN6l8+Qp8HkwidNITsBCJEPYQeMuXL9dqf2LcuAl8rcZNmmg1WSM9AYtJibu7B7/3iRLfzZq34Pupg/bm7mF4f9q06VqtgZjefdVE5tc8iWjfvqNqF2+e16RJUz6vb2w/rdbw/b786iueTKUnYGfPmcvnNWnanF/jM6LdHTt+gv7+/vu8Ko2VctRhJR6r5YIgCJkhAlYQbEhGAvbgoUO8Guru4cmCyxRjx47jc0ePGcuvsR39pz/9mVcuIQbSsm3bdhqjztl/4M2tc2xlG1/HXCAu/+///o+v8fF//kOdOgdS8vr19PDRI+0I0zxV4hnCBo486ZlDLFbXxnUDA7toNQZ0AYuSkPi2OJwRF5/6/tSpb4o1sGbNWn4PW+XGwDQD9V5VvJXYeltMbd68hd9HZAU9Bmt6AhYTBRzbM7qXVvM2devW42P27N2n1WROxgLWk98rUbIkC/m0LFy0mN+vW6++VmOgj5okoR6mKrDVTQvMDv72t7+x4LypTVKyI2B1Ll+5qtrMP1ho31W/nyAIgjmIgBUEG5KRgB02fATXz5s3X6t5G3j9v6+EYxUltgDEzPvvv88riJu3bOG6rBDVPftRCHQOHjxE/gEB/HlwLZQPP/yQWrZqxdvSuu2tMVhVfvHiJTsJpbfyhpVV2KwiBJcxuoAtWqy4+h3fFmqbNKEJkXTt+nWt9ieQJOKPf/wTFShQQKsxoAtY3WYzLTC/gK3uz372czqsrfqmJ2Br1KylPvvv6ezZc1rN2yQkJPLf699/gFaTORkJWDdtBXZ0Ovdy/4ED/D6ErrFA1wUs2kJ6NPIP4GMSEhP5dY4E7OWr3FYkCoEgCNlBBKwg2JCMBGyjRo3YPhBe/kuWLGFnJeOCbF0zZsTRP//5L/rvf/9Lj9W1QNNmzfl6f/rTnygiMpJX9u7df8DvpYclBCyACIVNKbbXAwIa82oe7Gpx7f/97xP+vBBZ6fHo8RO6ePEyJSUlK+E+jxYvXsxOSbhG4cKF9fCyjC5g4axmiu07dvD7lSu7mxTHFy5cZMH5ySefsKe+TuPGBgG7IY1tsTHNtN94WYJh5deUgMWWOATmRx99RPHx8Xy/0t5D3NfYfv35WvXSrIhmRIYC1s0gYNPaRutgQoD3K1as/EYkBl3ATp48Rat5mwFaxAlMroAIWEEQbIUIWEGwIRkJ2JIlS3J9VgrsQBFXE8CDHNvSv/mNwXMe/3780cdUt149mjt3HoeSSoulBGxasDIK29PWbdqwHSj+BlLNGtuVAthDdukSTP9RQvzPf/kLOyHp300vRYoWfUNo6gK2Xv0GWs2bbN9uELBYBTWFYUv87+kKWJhbpEdwcAgfM2euYXXclIC9pP7VvfizUmAqAhvmrJAVAbtl6zat9k0OHznC78PZy9g0RRewcXHxWs3bTJ4yhY/p09dgBysCVhAEWyECVhBsSEYCtnix4hxmaObMWZyhC5m7TJUNGzZwGlg4Y+kgNz+cvKKjY6h48eLsgY+/gRXdb77N/5a4sZaANWbBwsW8nQ4P9G3q8+pMnxHHq8VwICqmPitW+VauXEmbNm2irVu3qvdn0G/UOYUKFcqWgK1eveYbK7c6ORGwQcHBfMxczbzDlIBFOCp832+++ZbWrVtHmzdvNnn/UJB5DSYYxp8jI7IiYDdv2arVvkmOBOxkg4DVHbmyJmDn8TkiYAVBsCQiYAXBhmQkYOElj9XTffv3azXZ49Xr13T16jWKj59JBQsW4r8FD3sE/dfJroB9+vQZizes+mYmvrC6CMco/B3dPhO58LF6/Ic/vKu+/wr6wcQ1IOwg5BEOKjcF7Pr1G7Sat2narBkfozuPmRKwiCML84Fv1W+dmTObuVhTwGYU/7f/gIF8zPDhI/k1EhAgnm1GAnbWbFmBFQTB8oiAFQQbkpGAhUhA/ZSpU7Wat4ETFLIr6favmXH12jUOKYWYpBs2btJqs59KdvWatZQn75f0xRd56NatW1pt+tRv0JD/ztChw/j1zFmz+DXis6YHBBWOKVKkSO4IWM2JK37mbK3mTRCWqmjRYpwcABnOgCkBC2rWqs3mEEeO/hTiKy0IV3Xjxg16ZhTuKjOsKWCje/XWat6mvvqtcYwu7hGa7at8+VjAmko2AXr0jOZzYJttjKSSFQQhJ4iAFQQbkpGARRaod5QwKF+h4lvxUXVgCvA3JZr6aFu6J0+dpgEDBtL8+elHLvCqUoX/3patP22R66lkkanLHLCKC0ctnAvb1oy4fv0GC10cuyzB4MU+abJBnEZGdefXabl1+zZ9V6AAH5NdG9jsCtja6TiHrUtK5vc9vaqkxuZNT8AiqxeODQvvqtW8zRAl5pGEYeWq1VpN5lhTwEKcm0pze0q1LYRoQ1IG3Y4aERlKlymrzvu5+r3fTkBwXQlzPflDWgGLVLJwQETSjavq/4IgCOYgAlYQbEhGAha079CR34M4TCtijx49ynahsB3VPc63btvOHvvIMb9i5UquMyYpeT2HjoLoNM4/P36CIaC+lxJlRlouS6xbl8Q2rPw5kW7URF57ePxDEOKY8hUqsIc+OHT4MJsPfPrpZ2xOYAyyU3l7e7NggikFRyHIRQH75z//hZ2WjMH30O8Xwl/ppCdgETqsaLFibPcbFx//xm+Lv7ls2TLOpvZFnrycJCGrWFPAvvPOHzjrmPFvhntavXoNfn/YMEMEAp0wLQlG6zZt38hOhliyvlWr8XfD+2kFLGIA58ljmNAg65kgCII5iIAVBBuCrf+CqQL2bcGJla4aNWry+/nyfc0CMTo6mhr5+9Pv33mHEx2kdbpB9ig9NSwyb0VERFJMr14cuP7dd99jwbR48VLtaAOIJ4uUoHDy8q1alXoqAdOnT19eJcsKK1euTl1d/fe//80iEJ+zV69oatiokRKKf+P3SpYsRWfPndfOMtBds7/FVnLnzoEUExNDzZu34NU5fOdVq9ey0MT/YXOrs2BB1gQsUueaEuUQzBkJWGQIw+qgt7eP+h69+LN9+KEh41iPHtHa0QbSE7AAYauQLQ3nVVKiEWl9o7p356gDqPtMnbdvn3l2zhkJWD2NbqYCNp0wWl2CglVb+JJXVnv06M4CVU/pG9C4Ca+6GnPq1Bn+HHjfQ30ntJ3OgYEcNq1ChYocAxjvmUpNjN0CvPe///1P/d0gTh+MxBWCIAiZIQJWEGwIVmCRdx42qeltIWPlFZ75hQoX5uMw4H+gRCLCYiErlCmwIgvhiCxHOB7lP//5L4uzAwcOaEe9CVZD69VrQO+99x4fD7G71wxhBfvagYMGsWiGSNb/LkQfttsnTprEjk1pQTD9uPiZVLxEidRzIGYhnGDfC/tIxLn96OOP6bIWKgwg+xeObdTIX6t5kx07d/L7tWvXNbkCi9XUf/3rX7wK+IaA1Zy4du/Zw7FkIQh/+9vfKXH/CypSpBhNmDDxrbS+KffusTPTvz74KZyZMRC1HTp2VCL3s9TvCNvRTp0707k0gj4rIEYuX+OrfG/Yj0LAwlEOExGsxpsC9riY4Hh4eJlcgUWotTNnzvKKub6yni/fN9S7d5900wuj7dSuUyc1VBpSC2P3ACvQiIaBuhYtW2lH/wTEMDLDITIGjkGBSBYEQcgMEbCCYEMgnODAc/HSJd5SzQi8j9BMFy9eZI9vU6uKxuB9ONngeBRsA2d2DoQZfx51PP4WwnGZC6IN3Lx5M/Xv4rMaby2nB8TMJfU7oBinwcVvhOQI+DzGK4ZIk4rr37lzR6t5E1wP7yPLlykgnK9cucLXNkYXsFu3GUKNQRTqf984VJkx+N1wDK6XUS5/CDp8JnzH9OyaswImPhcuXOC/aSym8SvDmQ5/I+1KqQ5+Q/z9m+o4Y+GuC9gZcXH82nAfDdcyZRObFnwOTDhwvLEZiX4f0nPyAvgtcExmxwmCIOiIgBUEQTAirYB1FdIKWEEQBHtGBKwgCIIRImBFwAqCYP+IgBUEQTDCP6CxQcCmk4rVWYnp3dcgYGeIgBUEwf4RASsIgmAEIgx8+eWXnAHMlZg8eSp9+umnlLjckF1MEATBnhEBKwiCIAiCIDgUImAFQRAEQRAEh0IErCAITgdCX506dYoO7NtHjx89eiPUlCAIguD4iIAVBMEpgGg9dvQoTZo4kZo1aUJlSpemwoUKkbeXF4WHh9OUKVNo+9at9PDBgwxjtQqCIAj2jwhYQRAcFojWXTt30tgxY6h+3bpUuWJFauzvTzNmzKCY6Giq4ulJFcqXp/z581Pd2rWpmq8veXi4U4tmzWjs2LG0bu1aunnjxhsB/QVBEAT7RwSsIAgOxdMnT2jb1q00dPBgqlm9OrlVqkStWrakuOnT6fKlS/TihSED1fix46hzx0504vhxatG8OXl7VaHVq1bR4UOHaML48RTYuTMLWnc3Nwpo1Ij6xcbSqhUr6NTJk2JyIAiCYOeIgBUEwe65d+8ebVi/nnrHxJCvjw95eXhQxw4daOGCBXT92jV6ZSLl7fixY6lDu3b8f6ReHaIEb7kyZWjShAmpJgT3UlLo+LFjNDMujsJCQ6lWjRrkXrky1apZkyK7daMlixfTkcOHU0WxIAiCYB+IgBUEwS65cf06rVy5ksLDwsjLy4t8vL0pJDiYV1Fv3bxJP2aySmosYHU2b9rEArV506Z09swZrfYnHj18SOfOnaMlixZRzx49qF69uuTh5kZ+fn7UuVMnmj1zJu3bu1fy9QuCINgYEbCCINgF2La/fPEiLZw/nzp16EAe7u7kV60adY+Kok0bN1JKSop2ZNYwJWABhDHMB8qXK8cmAxnZv2Ll9bwStBs3bKD+sbHUTAlfrP7CMQxmCyOHD6edO3bQlUuX6QdxDBMEQcg1RMAKgmAz4IR17uxZmj5tGgtC2LPWrlmT+vbuTbt37eKIAdklPQEL8HfjZsygUiVLUq/onvTo0SPtnYyB2L129SqL1vHjxlFr9Zm9PD3JU4ntJk0aK5Hbj5LWraOLSog/f/5cO0sQBEGwNCJgBUHIVZ4/e8aOVWNHj6bGAQHkVrky1atbl0aNHEkH9u+nFxYSfhkJWJ3Dhw9TnVq1qGaNGnTwwAGt1jxS7t5ls4KZ8fEU3KULVfX1JU8PD6pfrx716N6d7XRhrgDzBEEQBMEyiIAVBMHqPHn8mAXioIEDDeGuKlXi7fjJkyaxE5U1vP6zImDBQyUsseJbulRJmjZlCr3MocMWBPiRQ4do2bKlFBUZweG7INLhIBYWFkrTp03lSAf379+XaAeCIAjZRASsIAgWB1vtEK0IdxXbpw9Vr1aNw1W1a9OG5s6dy2YD1iarAlYH9rCVKlbk6AaIDWsp8Fvg+y5fvpwGKgHfqEEDcnd3p2o+PuwYNk59TiRYQKQFU9EUBEEQhLcRASsIgkWAUIPNavK6ddQjKoqjBsARC5EDFi1cSNeuXcNB2tHWx1wBC+Cw1apFCzYB2JCcrNVaFoTwunP7NiWtXcvitW2r1uTp6UFVvLyoebNmNGLECFq9ciXdvnWLbXUFQRCEtxEBKwhCjrh75w4tT0yk8LBQ8vLyJO8qVSgyIoJWJC7n9zLy8rcm2RGwADa6EJZw8BrYvz/HkLUmELQQ/ju2b6PJEydxBIaqPj7k5laZEywMUJ8hYdkyunjhAr0WQSsIgsCIgBUEwWyQ8WrxwoUsEN3c3NhEAEkGEG4KW+G5udKaHtkVsDqINICkCQ0b1Kczp09rtdYHdrGwyz165AjFz5hB3bp1o1rVq/NqNuxoEVYMjmGHDh6kl2JyIAiCiyICVhCETIGoguPRnNmzOQmAW+VKLKYGDRhA+/ftY8Flb+RUwAJs9XcNC6OypUuzGYStnK4QweASJg2LFlF0z57UsH59TsiAiAedOnak2bNm0a6dO+k+Jg+CIAgugAhYQRBMwt70hw9zpAA4HlWuWJEaKOE0csQIOnbsWJZjp9oKSwhYANE6f948Kle2LItZmEXYGpg5XL58mdPrDujXj8ORVfH0ZDva1q1a0eiRI9kxDDFrM8tYJgiC4IiIgBUEIZXHSpQipikyTNWuVYsTCwT4+9P0qYbQT44UnN9SAlYHZgQQ8rBP3bZli1ZrHyAL2PVr12jXrl00bswYatumDdsiwxnNv1Ej6hfbl5KTk+j8ufP08oWYHQiC4PiIgBUEFweB+Hds3069Y3pRdT8/XmlFhimsOsIrH05GjoilBSx4+uQJDRk8mEoUL85C0Z4F/e1bt+nggYNsR9u5Y0eqVrUqebi58So6nOwSli5lUS4JFgRBcEREwAqCi4GoALDtXLN6NUVFRpKvtzenQoX3+4rERN52dgasIWB1EGILq5sIewXbVEfg6dOnbBKSkJDAArZ27drsGIZJS3BwMCdxgGnIXTWhkQQLgiDYOyJgBcEFgCC5cf06LVm8mIKDgthWElvM3cLDae3atZSSkqId6TxYU8ACbNkHdu5MFcqXp8RlCVqtY4EEC5jIDEaChYYNOdmEr483J3PACjMiMdy5c0fi0QqCYHeIgBUEJwVb/1euXKFZM2dyxieIE6y2IdzVpo0bOVOWM2NtAQsQlzU+Lo5KlypFvaKj6cH9+9o7jglEORzDRo0axQkdvDTHsJbNm7PpRFJSEt26dYte5DDdriAIQk4RASsITgSceWDXOHXKFGrTqhVVrlSJc/EPGTSIwyw5khNWTskNAauDmKy1a9ZkxzfEb3UGOLPaw4e0Y9s2mjF9OgWqSRDi4rpVrkz+DRtSbGwsh/W6cvmyQdDaQexfQRBcBxGwguDgYKX18KFDNHbMGI4YANHaWP07ZvRoQ7B7F93+zU0BCxCDtWf37hwzFoLPVhnIrAXMUJCVDAJ9Znw8RUZGcixgJLKAcO+uXi+YN4/bIk+URNAKgmBFRMAKggPy8sUL2rN7N2/r1qtTh0Ur4n9OnjiRV2AlQ1PuC1idlStWUKUKFTjBAEw4nBUI9CdPHrMT25JFiyimVy/yb2Swo0XEA5itxM2YQbt27JBIB4IgWBwRsILgIDx+/Ji2bt5MfWJiyE8LidShfXuaM2sWXbp40WHDXVkLWwlYAFHXonlzcnd3Z5tSVwEJFq5fv07r1q6hQQMHUtMmTTjBAmxpW7dqSePHjWX765s3bmhnCIIgZA8RsIJgx9y5dYvWJydTeFiYITC9EkQhwcFse3jt2jUJd5QBthSwAGGrxqnPUKpkCRoyaDA9e/ZUe8d1ePXyJYvVnTt3cnKM9m3bko9qxxC0iHowoH9/Sk5KorNnzkikA0EQzEIErCDYEdiWvXrlCq1Yvjw1cgDitEZ066oG+nV06+ZNsS3MIrYWsDpIElHV15ezeJ08cUKrdV0QgxjxZpFgIbBzJ46M4V7ZjerUqUMRXbvS8sRE/p2w4yAIgpAeImAFwcZg5QkZr+AAgwxY7pUrU7Vq1ahf3760fds2zpQlmI+9CFhwLyWFwkNDqUzp0nyfxdzjJ5C++Pjx45SwbBlFRURQrZo1ycvDg4VtSFAQO4wdPnyY7t6943SOcYIgZB8RsIJgA549fUpnzpyhqZMns50gnH7gyT1i+HDau2cPe3sLOcOeBCyAuQdMPyBiu3XtKhOTdIADIhIsrFu7lvrFxlKAfyPeiajq40Nt27ShsaNH0969e+nGjRtidiAILowIWEHIJSBKTxw/TqNHjaKGDRpQRSVa8e/kSZM49JBEDrAs9iZgdbDaCHOCqr4+HJtXyJxrV6/Q5k2bWLy2aNaMbWixStuyRQsaOGAA29HCeezZs2faGYIgODsiYAXBijx69IhFCsJd1aldm8NdNWvalLdFT586pR0lWAN7FbAAk5nBgwZxBi84eonwMo+HDx6wec2MGTOoS6dObGPsqQRtw/r1qW+fPrzSffHiRcNOhpgdCIJTIgJWECwMshdtSE7mgbR6tWq8/Ync8vPnzePIAWLHlzvYs4DV2bBhA3m4u/Oq4sULF7RawRzwPGH34uiRwzR3zhyK6NaN7WiRMQzZ0SIjImjO7Nl0/NhRFrTy/AmCcyACVhAsQEpKCkcO6NG9O+eO9/aqwuGu4Jhy584dCXdlAxxBwAKkYkXSA5iUrF61SqsVso0SqC+eP2c72mVLllAfNZGEyQYmClipxXM5bdo0Q4KFR4/k2RQEB0UErCBkk2tXr9KypUt5QMT2JeJbRkVG0ro1a+jBgwcyMNoYRxGwACuI06ZOZQcvZLR6cP++9o5gCZDa9ubNmzxBGDp0CCeZwDPLCRZatKAJ48axHS1CfAmC4BiIgBUEM0C4q9mzZlF7JYywRVmzenXqFR3N9niwy/tRRKvd4EgCVufIoUNUw8+Pt74P7N+v1QqWBhMGiFWswo4aOZIz2lX19uFV2oBGjWhg//4cBQEJFmQiKgj2iQhYQcgAxOs8fvwYTZk8hZoEBLBorV+vHqfJ3K8EhgRbt18cUcACrN5jFbZUyZI0c2Y8Z7MSrAvsYu/evUuHDh6i6VOnUnCXLlSrRg2OyVy7dm3q2b0777YcP3qUnkqIO0GwC0TACkIakAIUYa1GDBvGXs2VK1akxkq8jhk9mo4fO8bbkYL946gCFkBQJSYkUIVy5TgjG7a/hdzl0cOHdOb0aVq4YAE7hiGKCFI5+1WrRl0CA2ne3LlK8B7kJBWCIOQ+ImAFQYHBaveuXZz9ij2YK1XiGJMzpk2TPO0OiiMLWJ0L589Ty+bNeWt74/oNWq1gC54/e8aOYUlJSdSnd28K8Pfn+4JUz+3atuUYtXt272bbeMm0JgjWRwSs4LJg5QTB0btHRRnysavBqFOHDrRowQIJaeQEOIOABS9fvlDfZRyVLFGCBg0YwKlXBfvg6uXLbP8+bsxYat6sGUcgQYKFZur/A/r1U5OO9XT1yhWJ8ysIVkAErOAyYFUEjhurVq6k0JAQjhoAL2Sk9Vyp6pCaUnAenEXA6uzcsYPTqSIkFLa2Bfvj/r17vJMzfdo0CuzUiXzU/YLZQYP69SkmOprDep0/f15s5wXBAoiAFZwabP3DfhB2bBhQMJj4qkEFTjLJyck84AjOibMJWHD71i0KDw2l8uXKcZsW7JtnT59yNAncq8hu3ah2rVpsnlRH/RsREUEz4+Lo5IkTEsFEELKBCFjB6YBovXzpEqdrbd2qFXsSIzQRUndu2byZnbQE58cZBSxAWKcF8+dT2TJlWMwiUYbgGODenTtzhpYuXkL9Yvuykygy9VX19aHgoCCaMnkyh/ZCNj+xuxeEjBEBKzgF6OyPHz/OA0DTxo2pQvny1KBePY7xuH/fPrFBc0GcVcDqYOWuYYMGbFawd89urVZwJBCPlhMsrF5Nw4cPp1YtWvAuEWxp8f8xY8ZQ0rp1vPL+gziGCcIbiIAVHBZ0/vD6HaeESr06daiSFu5q4oQJdEzCXbk8zi5gAWwpEZO4ZImSNGH8eE6hKjgumIin3L1LO+AYptpvRyRYUBMUNzc37tsGDhzANvxwMpUEC4KrIwJWcCgwYG9TnfuQQYM4CxZitLZq2ZLipk+nS5cu0YsXL7QjBVfHFQSsDlbpPDw8+Fm4ePGiVis4OnA8vX//Ph06dIimTZlCoaGhhogpStAiW1uvnj05wcLRI0d4Qi8IroQIWMHuwYrExg0bqHdMDHv1uld249SPixcupKtXr9JLEa2CCVxJwIIb16/z961cqRKtWL5cqxWcjQdK0CIe7cL586lH9yiqX68u2/nrCRbmzJ5Ne/fsYeErCM6MCFjBLrl+7RqtXbOGuoaHsz1YFU9PTu+4ZvVqunnjhnjsCpniagIWYAt6xvTpnIYWwfbh3S44N4h0cOHCeV6F74sECwEBHIvW27sKJ1jAc7Br1y5OsIAMb4LgLIiAFewCOCjABGDJokWcTAAZbqr6+lL3yEjatGkTr8IKgjm4ooDVgeMicvljm/nYkSNareAKwDYWyRO2bd1Ko0eMYGcwPcFCk8aN2WZ6fXIyXbp4UcwOBIdGBKxgM9B5njt3jtO1tmndmrc+kcY1tm9fDgaO9K6CkF1cWcCCBw8ecPB8rMYisL6kN3VdkMBl3779NGP6NF4gwOKAh5sbR7Ho0b07m5wgwcIjyfImOBAiYIVcBZEBEO5q3JgxvBqAoN716tal0aNGccBvsWcVLIWrC1idlStWcFi5zh07smmOIDx5/JgOHjhAixcv5kyEWKl3q1yZFxBgthU3YwadOHGCE72IuZZgr4iAFawOEgcc2LePEwk0atiQKinRirzhkydNouPHjkkHKVgFEbA/ceH8eX7msI2MZB6CYAxsY5GeeIWa7Azs359T3yLSgV/VqpzBcMK4cbRn1y4WtK9fS4IFwT4QAStYHHSGEK1bt2yhfrGxHO4KXrJt27Sh+Ph4On/unDgTCFZHBOybPH/2jEaNGEGlS5WiIYMHS5xkIV3QP1+7dpXWrVnDCRZaNm/OYdq8vby4Hx+p2tH6pCROwiB2tIKtEAErWAR0ePB4hicsbKp0GyukR5w/fz6H+BHRKuQmImBNs3PHDvL18aGARo3o5MmTWq0gpA8cw+7du8er95MmTuQwhmhDWKVt7O/PjmGJy5ZxCm9JgSvkFiJghRxx984dWp6YSGGhoeTl6UE+3t4UGRFBCaozu3v3rohWwWaIgE2flJQUfmbLly1LixYuFDMewSzgEIikMkcOH6JpU6ey3WyN6tXZjrZ2rVoU3bMnLV60iBMsvJIVWsFKiIAVzObypYvcObVv25ZTHFavVo1ievXiLaV7amAUBHtABGzGYKVs/rx5VLZMGYro1pVFrSBkF0QwQFQZJFiAgEWEA5iOIXNYcJcgmjVzJidYeCjRZQQLIQJWyBRsH509fZrmzJpFzZo2pUoVK3KMyUEDBtCunTslWLpgl4iAzRrHjh1jsQGzn93qeRYESwA/iMuXL3NCmv6xsdQ4wJ+dCBGTFna0E8aPp+3bttGtmze1MwTBPETACiaBg8exo0fZ3gmRAxCjtUG9ejR65EjeFpJ4gYK9A8/pju3ba6+EjICD14D+/alk8eL8u4mDl2BpXrx4wdnAdmzfTsOHDqXWrVsbsix6eXJIxSGDBtHGjRvpwrlzErNYyBIiYIVUkDgAsViHDxvGdkzY/mkcEMCJBk4cPy6DmmC3IARQ/IwZNHf2bC7YxkTAdsS11OtQZsbF0batW7SzhLRsXL+e7RjbtGrFq2eCYE2w+op4tLCj7aie12rVqrLzb/169TgL4/Lly+m0erYfy4KJYAIRsA4MtvZzOlNFilaYASCHNmyVMHi1btmSFigBAHsm/A1BsHcwwSperBh99dVX9M0333D57rvvqECBAqmvv/76a/pGFWxpCukDT/L27dqxqdDqlSu1WkGwPhCqRw4fpiWLF1NE165Uo0YNJWjdqab6NzwsjGbFx3PscMSjFQQRsA4MPP1nqgfaHBAV4Pbt25S0di11j4oinypVOBRKZzX7XZGYyFs8guCIjB0zhkVqwYIFTRa8FxocLJExsgAmxkg/W6ZUKeoTE0MP7t/X3hGE3ANmB6dPnaJVaiLVr29fagTHMM1xGKG8YEeLXUOMaZYyO8CizfGjR8WMwQEQAeugbNu6lUoUL85b/JkNyHggb9y4QUuXLKHQ0FC2O/Ly9OQUgliNQigsQXB0sJvgpwa2b7/99i3xipXYMqVL80qtkHUOHTzIq191ateiw+r/gmBrrly+TBvWr+f0400bNyZPNZYhwULrVi05QcemjRvpjhrTsmvy9uDBA6pWtSrFx8VpNYK9IgLWAYETVcUKFXhbtFTJkjxDTQtmj7Bhmz1zJqcCxKwVD2Wf3jG0WT3gyIUtCM7GsqVLKb8SsN9///0bAhbPylA1uAnmc+9eCvXq2ZMzeM2aGS8xYwW7AuYESLAwVbOjRSxyRDtAog44Ji5dvITHQjgqZgUk+ihUqBB9rya9sJmXHRv7RQSsgwFnFe8qVVJXmbAtOm/uXH4PK60QszCIhx2rHlQaWVIQHkecsARnB228lWr7EKy6eM2fPz9V9fGVcD05BJmWKqmJMybE169d02oFwX7A5Arhu7BzAKfObuHhnMocY2Hd2rWpR1QU+3fAjvaF6itMiVOMp/ny5eNdm+9U3zFm1CgRsXaKCFgH4tLFi1S3Tp23Bmd/NdOcPGkSzzgR7gphrxDu6vChQ2xDJAiuBCZrxYoW5VVYFDhzIWC/kHMuXrjA27ZY4ULEAkGwd54+e0Znz5yhhQsWUK/oaKpfty7vSPpVq8rZ6CB09+7eTc+U8AXhqk63pS+g+g/s6IiItU9EwDoIsO9r0bw5zwx18aqXAmqARhy9SRMm8IP64oWstAquDRwUOeqAmuw1bdJYdh8sCFauxoweTSVLlKARw4fTkydPtHcEwf6BUL127RqtXLGCk/HwhMzTg3c227Vty9E3sPqqj6+YBGPHE9kmdZEr2AciYO2EO7dv0+GDh2jrli1sg3PqxMnUQfepGiCQUSg9D2sM0iuWL+djBUEgunrlCm8bYiV2z+7dWq1gSbapvgrOM3AkxcRZEBwRTMhu3rxJu3ftom7hYYadmzRjLOow/vbs0YNFLELNIS0ubG+xegvHMgk5mfuIgLUhEKhrVq9mmzJEBihXtiw7ZcFZokL58uz9O3TIEAoPD+cZoB7X0vjBQoGA7dyxo3ZVQXBN4LiIKANTJ0+m0JAQqlSpIpVUz1NIUBCNHT2a9u/bx4OVYDlu3bpFYeq3Rt+1ZNEirVYQHBPEnzXlBIrC5kj581O1atXIw92do5pgFwL/wiQBpnxxM2bwbqmQO4iAtREwIm/etCkVLlyYKlasyBmDGjVswKYAAf7+nLYVUQMgZmHnWkQdp4vcr/PlS90exXsolSpV4lmgILgi+/bu4eD7EKwIL4fVVww0ftX81GDjwRNDJDpo2qQJrU9OltUSCwLbQNgYYyCP7NaNd5MEwRGBjayxmZ6+YATxCnvYEkqwIgIQnKMhWDFe4996depQlSpeVLRoUY6CkJiQoF1RsCYiYG3AmlWrqHy5clROFTT+ls2bU8tmzaiFKhC1LVDU//U6OG6VLl2K6qiHBo4TiIE3sH9/ton19PSggurByvPFF7Q8MVH7C4LgGmDVdfLEiUq4luDJXYP69VOfnTeKelb8GzZkYVtIDUj9+8XKaqyFwep3Q/X7+/r48PaqIDgSCLMFYQoBiwUi7HpCrEKUomBBCfay6EvQx6SO19r/0c/gNWxpCxUqyLunr1+90q4uWAO7ErDwmO/UuTNVUI3G3d1dzWiqkJ+fH3l4ePDr8uXL0/wFC7WjbcfVq1epfYcOdPjIUa0m62zfto1XiNDIjR+CjAoemCYBAUrElubXxjFcERoItjvx8fFKwMqsz9U5cPAQeXl5kZubGz8zVVWn6+vry//HKn2tWrXp8hXbZVvbuGkztWzZiidvzZo1p61bt1FOnHtHDBvGKyRIOakPLGmfH73wIKOOqVevLg8wEd26SZQOC/Po4UOeXGPFG1mSXskAbhcsX7EydVzFeIpx1dvbm19jB7B16zb02EbOeD/88JqWJSSq57I+j/GdA7vQ3n37tXffZPOWrRSgRCT6j5CQUDp77rz2zpvcTUmhkaPGcD/opcbaefMWZOrIefLECTYJQJIfRCJYvWoV/4udm3p16xr6FxP9StqC47DohH5puOqfBOthVwL21avXtEAJ1BEjRtCECROoadNm9Ne//o369etHY8eO5fp9+w9oR9uGo8eOU8VKlemXv/wlbdi4SavNGthaQ6YgN3c3buSmGn96BYMvtiswE0RKPUEwxRUlTseMGUujR4/mZ+abb77lba+JEyfQqFEjafLkyXTvnm3SgvaM7kX//Oe/KCwsnMYrcRMSEkYffvQRDRgwUDvCPJYsWcwBx+vUrm3W84RjsRqLAWbY0KHa1QRLkpyUxKvd+K0RekuwLUeOHuXxc+zYMTRkyBD64IN/U82atVS/MJFGjhxJc+bMsclkDiGuGvkHUImSpShWjfPjxo2jVq1a0/vv/x9NmTpNO8oA+rWPPv4Pde0WwX1bkyZN6ZNPP6VNm7doRxi4ffuOErjllWCvSCPUd0P/8l2B76lhI396nsF3hOMnsnghMQLYtXMnC1rsfJo7XuN4ZK+D6V/yuiS+nmB57NqEYOGiRfTFF3k5z7GtefT4MY0dN56+yJOXmrdoRX/605+UgN2svZs1MFhCgDZr0sRko8+sYIsCMzus4CL/syBkRs1atalt23baK9uxZu06HpTWrlun1RhISl7P9clmxhQ1RBmoxKvL5g4uKJgQYruwuHqW9u3dq11VsCTYqUL0lEoVK9DaNathLKu9I9iSx2osK1ioMItAW9Mrpjd5eHrRo0dvZoYcNHgIffjhR3TqtCG6xcaNm3jyu37DRn6t01+J03xff003bt7Saojq1q2v+oWqSpC/1GqIrl2/TgWUiI3p3UeryRis1jZs0IDc3AyTMFN9SGYFfQxWuBuo60ioOetg1wIWq7Gff/7FGwL24cNHNHr0GNU5XqPTqnH3Vg3yxImT/F5KSgpNmzaNnTn69x9AZ8+e43pjcK1JkyZRO3XMoEGD6cKFi9o7GTNo8FD65JNPacWKlXTw0GF69933zFqBhWcim0RUq5btBwIFD0XZsmU5JawgZEb16jV4e1Dn2bPnNH78BDpz5gyv1vbt25f2GW3XHTlylKKjo6ljx440d+68twYWcPDgIerevTt16tSJFi5clKXOGZ8DW4SmwEpJZFQP7VXWQB704sWLmXxGslrwHJYrV5a6BAZqVxUsDUwIkBkQJgWxqq09fPhQe0ewFRCwBb4vyOOoDlYtR44cxWMozJAwrl66ZHAKhsPjtm3beOckKCiIVq9eQy9f/iQOAWzRN23azNv6wcHBtC4pOVPzEYjOfF9/o669nV/jc+HvYyX48eMnPNbqwrRe/QYU0LgJ/9+Yh48e0Tff5qdR2nc5dPgwffTRx7Rz19uh86ZNn0F5v/yK7ty5o9WkD8JjYbEJyYEw5prqPzIrOA8h5nAdOI4KlsfhBCwGXWwHTJg4iT5T7/3sZz9TD9RaftgKqVllpcpu1LZtWzULq0dffJGHEo3iox49epS++64AeXh48TG1atehPHnzqoct8yV+mC7gb4Pde/bSH9591ywBiy21YsWKcYPO7gOBgkG3up8fVatWle6ph10QMiKtgE25d091qMXZPuz7goX4+ZkRF8/vTZgwkf7730/I3z+A2rRpoyZK5cnN3Z1DJemMGDGS/ve/T6lx48Z83ZKlSpO3jw9fNyO279hJe/fu0179BBblihYtpgRsd60mcx4+eMAh5qpmc/VVL3gOsaOBwOWI6yhYjz179lB1NXnH733k0CGtVrAFpgTssWPH6dv839HkKVPpH//4J/3ud7+nnTt38Xvh4V0NO4/qWWvZqhX3G03Vs6ObHEDgdurUmb78Mh+1aNGSWrZsSfnVONu2XTt6pYRteixZupQKFipE12/cpF69YuirfPno73//OxUrXpzGjR+fmvnqwYOHLErj4mfy67S0bNWaPD29+P/j1OT8s88+o2cm7F3PnbtAf/vb3yg5OfPdnr69e7NTaE76FxT0MeXLl+MkCILlcTgBe+3adfpePXzff1+Iwrt2U43yHOc+9vb2If+AxjwT1Jk5cxblVw/lnbt3+UGqWLEStVYD8w9GW1mTJk2mguqBvH//gVaTOdkRsJMmTqRSpUpa5IFA5AKsaJw/b9qAXRB00gpYtHOITmyndejQiU6cOMHPzIEDB+mDf39IS5f95AiIbTTYyQUFBfNriFDYzq1eu5ZfgydPnlKVKt4U1d28FVSdteuS6C9/+Sv/m1XQ7mHXm5PVERQ4ZDRpHEDFixVXk+DV2tUFa/FATTx69uhOZcuU4fSdP2QgbgTrYUrAnjx5ivLl+5pNC/r0jaWLFw07k/PnL6CP//NfOmg06cB4XLhwEZo8eQq/njZ9Ou9OHtd2QgHGaSwWzZo9R6t5G2zn4xiI3qrV/Gjfvn105coVmjN3Hv37ww+pW0QkH3fh4iU1af6Edu0yCOq0xMbG8qIW6Bkdo8SsJ/8/LejP/q36uClTp2s16YN07D5qYq5HFshuwXjv4+PN/itpV62FnONwAvaGmq2hETZt1lyrIdqvBl/Yy8CkwBhsQxRVg9P8BQv4GMziLqWJlYoBHQ8zZoNZJTsCdkD/fuxhmVMBiwIbWmxL7Bc7WCET0grYBw8f0pdf5aOqVau9EQsVjhHw1k0Ldje+/vobtgEP7BJENWvV0t75icVLlvJAhGPM4eq1a5QnT16TW4MZkbRuLduumno2zC14HiGGZyhBJeQCPxIlJiZwopagLl3o5o0b2htCbmFKwJ4+c5b++Kc/UXh4N63GgK/qJ2A6kJZhw0dQpUqVcTupsps7xcT0NrxhRN/Yfmw2lx7YdcEOEGxWX75809wAE9o///kvdODgQd5dzZv3Kzp06LD27psMGjSI+6jXP/zIpkjYfTUFJuofffQRjRs/UasxDfpFRG+BjXxOJsgoOB8x3hFa7rbRTpZgGRxOwF6/foNnY4sXL9FqDCFC3lWC8vPPP1cDYp43Ch6QPn36UkLCcvrDH/5AX3zxxRvv4zWO6dd/gHa1zMmegO1vMQHbXAlYmCMg7awgZMRbAvbBA9XZf8t2sMZARL733nv05Zdfpj4befPm5Unf73//Dh05eowaNGzEzotpj8GE8r33/pjqcJEVLly8yJ7HZcuVp5SUjM0P0rJieSLvQJh8NswseB7xXPaLjdWuLuQGSD3bTP3+nh4etG3rVq1WyA1MCdhTp07Tvz74N23Z8tO9QISAkiVL0//93/tvPfPvv/8+ffLJJ0pcXqHCRYrSP//5T643PgYRhGDGh4UkU/SI7sVj76pVq7San4B5QqHChWnixElq/L9DH3/8H/XZTI93vXr14pVjENO7L5VXfYop8L0/+OCDdE0RdCBg4RyK6CaWELCIRoCwmTJZszwOaUIAQ+x1RluOCYnLOVpBYmIibdy4kdavX89lw4YNtH37drbhw1bIV1/lo5UrV5k8BlsXWSU7Anb4sKG8dWYJAYtgyhCwcMQRhIwwZUIAE5y5c+dqNQYaNfKnOnXqsrOG/mygbNq0ifbu3cumArAZDwhozM+L8TGbkQ+cj8map+3WbdvVIJeXPL28OF6juaxauYLD25h6NswteB4RXxlh+4TcBYHj4YyHqCoI+v5MvRasT3omBJ9+9jntNwpT+fTpMypVqjTbwKbtFyAmDx8+zOZ5RZSA7dkzmraqiUjaYw4dOpSuMxeEJAQs+pi0YLu9RImSNHqM4TPmzfslRwEyRcOG6Lvq8P9hNvi/Tz6leyZMAjEJ//vf36ed6Zgi6MD2Fjb28DXJqYBF/wLHbcSRffzokfYXBEvhmAI2LwTsT+F4kFAA9nt6NAJjEGUA4TT27N3HK0Wmog6cP3+BnqoBOqtkR8AitVyxHITQ0gseKN3x5NpV2wWkFxwDUwIWgxfiPhoDG1Y3N3ft1U9AVOD5AEHBIVStmh//3xiI2wtZjPU5ddp0+sc/EAu2Kz15mvVnzphjR4/yBA7JPUw9I+YUrAIiUHnCsmXa1YXcZoeaECFNNlJonz51SqsVrEW6AvbTz96ISAL8qtdMtYE3Bv0IwqQBdw8v6tGjJ//fGDh26seY4vSZM/THP/6JHUPTAqeyf/zznzzZBTBxcvd427YVC0///e//aJG2Iwt98PnneTgxQlqwEwsHMQjzzOjUoQMnQcjpghNsaN3VdSTSiXVwCgELsDoEuz5jOzysuiLwMR4G4O3tS3Xr1Xtj4IyLi6f/qAfgzJmzWk3mwJ4WW6Zbtm7TajLnzOnTnD0EOZNzMqvDA4XYdG3btKEfjWwYBcEUWRWwx4+fYDtyhJrRQUffsGEj8vOrwa8RPgtOXAivpYPBsHqNmlS/QUOtxjQYzJq3aMnOYytWvr1laA6wJUO2HKyS5MTJAs8hUp9iBfbwwYPa1QVbgHsaGhxM5cuWpWVLl4qDlxUxR8AmLl+hnvkPaaPRKumtW7epeImS1LVrBL/GOPvhhx/TDi1qAcA4DefoXjEZx11t174D/etf/6Ldu39KPYy+ooq3N9WpW1erQQSB8/TJZ5+xqZ/ugo3MYXXr1ScP1RcYO0jBOQy7tCdO/rSghQyAcAxDbPmssGD+fPYzMdVvmFOwYIXJdtz0N5MyCJbBrgUsBkrMrm7evKnVIDj2Nfrssy9o9ao3vYYvX75M5StUYO9IpJVEWA2E/oif+ZO9C+LCllKDVVHVoHCMh5rRYStzwcKM09PCwBzx7WCIXbNmTRaiyMRVqlQpfg1vxSlTDB6ZGRHYuXOOQnNgwG3s768erCKyYiRkCThhNG/eQntFnIULcRPjTdiBzZs3jwcxDAjVq1enEiVKUdmy5VJXYMGMGXGc/QbpanEMnCThzKGHmDMFBhdMLrFd+P3331M9NYnEuXrB8zN8+HDt6KzRIyqK4yHndDLo4e7OK3+S8tT2QLTOUv01TK0iunalB/dtkzHO2XmkxU4dMXyEVmOYwP7nP//lcGdp6de/P/cLPr6+nIK2QIGCbG5kHNMXJgSfffa56m+qUrVq1Sh//gIcji8zsyK8j9TSGOfh8IVxuZjqU7AgBYdtY5DMAGaAiCaEz4GwmciKefHimyHwXqpnuUPHjhzWC58FqXOhBYYMyXrWPYTVQ+rtGqp/yu54jfNwfkWlS65fu6ZdWbAkdi1gYeM5Iy7ujSV/NHgMvnqQZWMwI0M0gd69e9OYsWPp0uW37VoR+BiCFcfAkQWCODMQgmv69Okc9L2/epgHDhzIafnwL15ja8LYJjc99u/bx97T8ErMzkOBc5C3ukH9+vQ0k45BEMCKFSto/foN2iuDc8ScOXPpVDpbtecvXKAxY8bw85GQmGgyP/qZs2dp5KhRfMzKVasy3ZKDgJ01ezYNGzaMPYbxzBiXPn36UIKJLb+MwIopp3k0M42sXiB8EY4OqWhlMmhfIF43Vsb9lBhCOs+MQJpasZ01DzyP2IEx9uq/d+8eR+LA6qopkCAAKWgxBm7avJkXddKCWOmDBg/isFbY+s/qpBBOU/gsGFMHDBjAqWGNI6QYg8QGWCyKiYnhsR6JWUzxWp2PFWGkoR88eDCdPHVaeyfrjFF9HFLBIgSWuRNlHA8TpyJFirCdt2Ad7FrAOiPjlLBGDnakqTNn4MUD4e3tTaVLlZLUl4Kg6K8GyuwkB8GxsH3Fs9S2dWt6YSLouWBbnj19SgPV5KZUyVI0YcJ4k/cIq2QIdQQHI0GwNFhhRqzpMmXLcH+R1T5GP66sOi/Av5HsJFgREbC5zCs1+43u0YMKFiqYunqU0YOB92FHA5s/JEJISmP7KwiuCjLRIUQNdjVgBpCVCSGOQRQPmEDUr1dXMnDZMz/+SMmqv4MTTBs10bhiFMMbMT3DQkI4DGJkhMEWUxAsDRI6VK3qy3byELMZjdeox/vY2SlTpgz5VfOjs2aEFhTMRwRsLoNsIBPGT2A7QKwAVahQgRqo/+sPgHFp2qQx1fDz40DrsJ1F8O9TRobpguDKTJ44kb3XsZsBhwvYm+E50gcZ46LXIYIHVm0bqXN69uwpuxkOAPwbOrRrR5UrVaI1Wsa0ObNnU/78+em7AgXYFwFOsoJgadD2unXtyn1LsWJFDdEytAyAaQvqMTHGhLqE6mNat2rF5hqC9RABm4vAzgj2OLCdvXv3Lu3etYs6tG/PQhYiFWK2cuXKXCBYMSjDyWTY0KG8+hDRrRtvmaWocwXBlYEpDpIZbNywge16x48bxwkJMHhgtwLPScMG9TklJHY6fLy9eQcD5/SJieHV2y1bNlNoaChdOH9Ou6pgr8CmcfKkSRylICoigh1jvvvuOzbH+ubrrzmOrCBYkiOHD1N4eDgtWriQnjx+TAsXLKDaqi/BuIwxG05eGKvxLyZRCMcH/xTY1J87e46qV6vGZjCC9RABm0tcuXyFekX3YgcZeIHqvHz5Qg2g53lFIbZPX+rZoweXYapDXrd2Ld25c0c7kujB/Qf8gIQEB0uYGcElef3qFQvQ8uXKsXg15uqVKzRFiZyWLVrwSkn5cmXZDs3L04MCAgJoCJw5Tp7kQOU6cGZBJp/7anIp2D+bN22iAkq46uIVBf93U0ICCWsEwRJs3bKVgoKDaM2aNW/0FwhBdvDAAZ5M9erZk8fqGNV/TBw/nhM7PHnyUxjPPbt384R5rhrbBesgAjYXQOD1bt0iOERMTrcUTp8+zasP8JAUBFcC4hX242j/B/a/Ga/SGNhH3rh+g9OVYmv5+tVrvEprCtQjhNeokSPTPUawHwYOGMCmA7p41cvXX39N06ZM1Y4ShOyB6AeJCYkUFBREO3YYkijkhCWLF/Nq7e7dGWf/ErKHCFgrs2PHDgoJCaHlicu1mpyDlaeSxYvTas0eTBCcHYSNC+7Shap4elo86QDMebCSMn/efK1GsEdWrVzJcYRR0gpYiFoktnj44O0UooKQFTCBnTVrFnUN70onT5zQanPOIDXp8vBwF4dRKyAC1orA4SA0NIS2bN6s1ViOGdOns53sieOGLGOC4KzA/gxOPNWqVqVLF99OBW0Jzp09y/aw2KIW7I/Tp0+xE2u+fPnYZKBAgQKamP1JxH777be0PCFBO0MQsg7M+saOGcPmRDBFsiQICdemVStq2qSJxG+3MCJgrcCrVy9p7ty5PJM7cviIVmt5oqN78qCONIyC4IzcunmTw14heoC1xKsO75YoEXvyhET6sDfiZ8ygmjVrcNY2JHMpWbIEJ6HIr0Trl19+ycI2T548bOssWdUEc0CqeiRUgYM1dmOsAcboqqrt9u3TW6sRLIEIWAuDTGETJkzgED2IIWdNsDKFbB+IZCD2e4KzgfSLCDGHOMi55WSVmJhIkVGRdPPGDa1GsAdgmwhnGvgQXL18mc1ItmzaRCuWL+cUyIhC0C08nMMZpZdlThDScuHCBerevTuP2Y+NnKutAUL2wR52tlF6eyFniIC1IAhvpafKvKNmdbnBJfUAItD38KFZz/MsCPYOnBWr+/lR61YtOfxcbgFHsYkTJ9LgQYMlRakVeap+W/SVW7du1Wosw+tXr9NNQ5pddu/ZS9G9euVqOxSsz9EjRyg8vCvNnTOXEwzlBokJCVRGidhdO3ZoNUJOEAFrIa5dvUrR0dE0ZuwYTkGXm2zdsoVKlyzJD4cgODpI1uFdpQqFBgez/Vhug1A5mIROnzaNfrSwGBIMDFIThC++yEOXL1vW3tAa3E1Joe++/56Cg0O0GsHR2b59OwWHhNjEERohMrHoJE5dOUcErAU4efIEdevWjWbOnGmzrfz4uDgqW6YMHT50SKsRBMcD22zo3JG0w5YroNeuXeMg5nrmJ8Fy7Nq1m9599z2aOctx4mOuWLmK/vCHd/lfwbFZvWoVh8navm2bVpO7QCO0b9uWGjdubHWzBWdHBGwOQTYteC8nLEuw6WoN7MMQCgjZP+D4IgiOBp4lTMIQ69MeUjAiMDlW3TKKOSuYBzJquXt4UqHChdmMwFF4/foH8vD0oiJFitLjx+JJ7ojAuQ/mAmFhYXTkiPWcq7PC7Vu3yU+N1UiCIGQfEbA5ICkpSQ1wwbRh/XqtxrYgRAdywbdv146e2mDrVRCyS9LatezgMHTwYE5EYC9gBRYrsZYOreOqJC5fTj//+c9pigMmHVi6dBn97Gc/o/h4ccJxNODwDEetHj16WD2aSVbBxLhM6dIcYUPIHiJgswEG2MWLFlFISCgdOGBfqzOwxUUazQH9+mk1gmDfYEsPecTZ5tQobaNdoD7PzPh46tun7xspoAXz+UH9lj4+vvT+++/T9euOF+Xh/v0HlDfvl1S8eAmJ+uJA6M7V2NkxTs1uD8BvBRN3W5kzODoiYM0Eq5zIgxwVFUXnzp3Tau0LPVzHgvmSWUiwb5AnvGSJEiwS7RXY4g4cOIgmjB9PP9jR6rCjcfTYcfrNb35DNWvV1mocj9Zt2vAq7PYdO7UawZ65fPkyh7QcO2as3dqbjhk9mtwqV6YzEv7NbETAmkHK3RQaMmQw9evXL9fCZGWXBfPmUSklDHbtlI5WsE+QTQ4rr0gRau/cunWLtx+XLF2i1QjmMiMunsXf8BEjtRrHY87cefwdorr30GoEe+X4sWNs/oP0sPZgU58eCN0XEhRE9evWpQf372u1QlYQAZtFYAOHNHOj1WzJURoZcjB7e3lxQHhBsBfQYY8cMYJDv61ds0artX+QHz0kOJh2bJcYjtmhWfPmLP5Wr1mr1TgeW7Zu4+9QtZofrEsEO2UnsuqpZ3XlihVajX2TkpJCdWrXpvCwMNnlMQMRsFkAmV0iukVQXFwcPXvmOM5R2Pps3aoVNW/WzCbxNAUhLbAfhy1aubJlaef27Vqt47BVCRis6pw9c0arEbLCq1evqbKbmxJ/P6c9e/dptY4Hsiv+8pe/pKJFi4mjrB0CG3rY1MO5epuD2ZViglyhXDmaPHGiViNkhgjYTNi7d48hTNbSZZzlxdG4ceMG+fr4UGyfPlqNINgGTKgQ6q1SxYq0Z/durdbxWLBgAdvV2bsZkT3x9Okzdn769a9/TadPO674T0m5Rx999DHlyZOXHjx4oNUK9sDLFy9p3tx5PMFEli1HBDtSpUqWpPVJSVqNkBEiYDMgOTmZgtRMbtPGjVqNY3Lo4EEqW6Y0zZ3jOIHDBefi+fPnvKWHDFtYaXBkEE9y7JgxNGLECPFGzyJPnjylIkWKsRPXufPntVrHA1kW8+TJQ59++indF3tFuwHO1ZMmTaLu3bvThfMXtFrHZNzYsVSxQnk6c/q0ViOkhwhYEyCXtiFMVgjtc+DtLmMWL1zI3t47HHDbVnBskEMemWewE+AsnTK+U0xMDM2eNYtDbQkZgxXYYvoKrAObX+C+f/zxx/SFErGyAmsfwH502LCh7FwNZ0tHBxPk8NBQql+vnrSxTBABmwZscyIeZWRkJJ09c1ardQ6GDB5MVTw9OVasIOQGcHhs2qQJNVCdsbO1uwvnz1PX8HDasGGDViOkB2xgK1V24yQGe/c5bmazS5cu0a9+9SsqIjawdgH6lN69Y2j06FG8Ou4s4LvUq1OHoxO8lF2edBEBawQG2xEjhlPfPn3o5g3nS8f64vlzatO6NQsKCcouWBtE7mjUsCE1atDAKVZGTLF3zx7Oq46QPULGNGnSlD3416x13CgEW7dt5+/g7eNLP/wgK++25OSJk9S1a1eKj4/jsc3ZOHf2LFWsUIFNCgTTOI2AhfchMm5gVeT8uXNc4MCE5fiscOP6dTWT600jhg936mV7fE9fb2/qHROj1fwEfkM4phw5fJgOHjzAWcZgr/jkieT+FswD6RqrVa1KHdq3d6qVEVMsT0zkHZubqr8x5uGDh/w76P3R1atX2RbYVZk2fQaLv1GjRmk1jsfcefP5O4SGhWk1QnZAXNbraizSnw2M2/fupfAYlBXgBIpIAwkJCWzy56xs3LCBTf8QWSEtr1+/oosXzvNYrZcL6rd0RjGfHg4vYLGNs13Niocr4QkDbmzpYVYGT8SIiAjq378/DzB3M0ghh5A4CJM1bdo0l9gWOshOXWVozmyDU9ezp88oae066tyxIzvZID8zMnnBG7JcubJUq2ZN6t2rF68y2V2qT8HugAcw2hHakyuEb/tRDaBTp0yhgQMH0v179+jggQM0fvx4io6O5r5IL926daM+ffrS3Llz6cqVK9rZrsORI0d5+712nTpazZskr99ApVS/U7RoURo0aLBWm3WmTJlGxYoV47JkyVKtNmugW4uMjOJzy5YtS/sPHNTeeZO27dqxgF2/wbEde23FrVs3aemSJdRPjcsYn42fDyQKGTVyFO3cuZNN+dIDnvoQr1u3bNFqnBtk/iynxutjWmQFLNTNjIujZk2bckQXjNMYr1Hw2r9RI5oyafJbE2pnxKEF7OFDh6hv374UEhrKgwe8EGfOnMmZN/Dv1KlT2VM4PNwweCStW8ezFmP279vHYbIWL17MMSpdheVq5ortifi4GdSubVsqVKgQVapUkcWqf8OG1Njfn0vD+vV5Ja1MmdJUonhx6hcbS/dSUrSrCMKbQLxVVJ1oDzWZtOfsN5YGXtDoizAQB4eEUKx6TiZMmMCxo9EfocC2ftSo0TzRxgC8aOFCl4rPjJUyL68q9I9//INu3HzbRGv2HEOWK5QWLVtptVknMqpH6vmjxpi37YqJOZIT6OdDTKflwcOHlC9fPipQ4HvZlTITROtYvXo1Lyx1VWPxyJEjecFIfzYwXmP87j9gAHUJCuKFp2NpzHIwPs+fN5+vgcg6rgLaJvrTBmosXrBgPlX19eVJnpeXF9vJBijBirEa/9arW5cXD4oWKUJenp60cP58p150clgBi1lYYGAgC1esaCxUgwEKYjQaF9TNVzcR21aBgV1o+vTpqdt4G9avZ/s1V3XCiFQz4Lx581L58uUpwL8RtWzenFo0a8aluZrdoeD/XK9KXfWw4MHAg3TxgmOHKhHSB/GObymBAYcVBG5Hwfb3k8ePtSNMs3nTJqpYvgKbp7jSZBBgQO3atRubIWEwzqg/Qpk8eTKFhoTS4MFD6LYLxZNNSFzOjlyTp0zRan5i9py5qQIyewK2e+r5o0aP0Wqzxg9ZELCJ6rPjvdFmXtvVQfKfiRMnUJcuXdieE+Nxes/GokWLaPbs2RTbrx+PzXoyAozZELhRUVF03oHDsGUX9MdubpUpf/785OPtzauvLU2M1fp4jdc+Pj5UqGBB6q8m01k1pXQ0HFLAblIDJcTr+HHjUh8EPBQZFRw3Y8YMjus6a+YsSliWwHZMWIF1RXbt3EkVlHDFw6A3fP1BSK/gwWjauDFv80HEIqSM4DxAoCYuW0YdO3Qgdzc3KlGiBBUvXpwLtlUR1mXEsGFss5YWBN5GatjRI0fylrorcfrUKQoODqEhQ4bSQm0wNtUHGRf0R7Nnz1EDcncapCbhruJU+UpNbCpWqsSZrNLaA589e47Gqj4d6bo3bdqs1Wad3Xv28LkoR4+a71S3es0aPhfmH9euXddqDcBhy8fHl777rgDdvSs7UFkFuzAQnghJGR8fz+3e1PNgXHQxO0r1JdipSFZ9y5ixYyi2b1+6aWLl3hUYN2YMlShejBeRdIGaWcFx9erVpYIFv6dhQ4dqV3IuHE7AXr50iU0G0NFgtmbqAUiv4KHACmygmgl2De9Kp100UDCEZw0/PzWjc8vyw6AXCF2IWGxhxERHa1cUHJ3dakKDaAFFihSmypUrc17uxgEBfK9RYEqCOK4lS5bgNLCYPGLbHCQmJrD91QQ18LsaEJ59+vThGJQLzeyPMFDPmTOHwkLDUu3RXYHt23fQ7995h+bOnafV2D9r166jd999lxYsXKTVCFlh7dq1PN5mVbwaFxwPE8DWbdrQiOEjXDZyDhIpFStWlGrXqmX2eI3j6yjRW7hQITahdDYcTsDqzhHmPgx6wXnD1cMAOzQ4XLgio0eNoiJFi1DTJo2phYlGn1mBiMVMECtzsHkUHJtFSkjB0xW2q7ClQqeXdkUer/XOs0b16mpWX5BCgoNoxrSpLF4XzHMcMWJJYNcHG3qYMWVl5TVtQX8EcwKsNLnS1mjfvrGUN++Xb6102iP37t2n/N99R02bNtNqhKxw9+5dioiM5MWm7I7XKHDumqkEsCsCZzZ/1Se7Va6s+mDzxKte0G97uLvzosRjJ5sEOJSAvXz5Mm9FwDkrO4OFXuapwRaDjqOniM0OWH2FU5ZftWpmz+aMC84tXbo0dY+K0q4sOCKI0IHVdLSJrLYHiFk4DJQsWZIKqIEdjgKuCKJ3YDIN+/qcDNDoy3r27Enx8TO1Kzs/j588YXvh7JgK5Da7du3mcccRxLY9AT8VOFzlZKzWJ3jhYeEcAtLV2LZ1Ky82ob9Nu6iQ1YLzsDAB/5V1DhyD2RQOJWDXrllL3bpF5OiBQMFDMWDAABrjgsb427dt41AxTQICTDb2rBYYkGMlDja0jzNx7hHsE8Qoxcy8SpUq1MrMyQzELqJVFFWda9yMGdoVXQvESw4LC2Mv6pwO0mPHjqWYXjHyLAlOw9ChQw124TmY3OkF/iqu6GyNqD/lypXLtnjVC/prmH717N5du7Jz4FACduKECRxeI6cPBM5HiJuYmN4uN2CMGTWa47zm9IHA+ciyhIfClUKaOBN9evdmRy1T9zcrBZ2in58fVa5Uma5cvqxd1XVYt24dRUZF5bg/gvhF5AI4giH5iiA4OkhKgK3/SZMmW2S8Roi6GdNda6KMSC7NmzfjsFhZ3R1Lr2C8rlrVlxrUr+dUTrYOJWAHDhqU4+06FAwYMEOAHSzCU7gSSEhQqVKlHAtYlCaNA6hUqZK0PjlJu7rgKCCHOKJQ1Kldi1fTTd3frBbYQk+aOFG7suswb+5c6t27j9nOpKYKzJoQr/rIkcPa1YXsgHijD504k6KjcP3aNQ55BadpS+yYDh0yhMaOca0dUyRfgmlXzRo1LLLgVKdWbQ6t5UwhDh1KwGL1FVttlhCwCKKM4MCuJmBjekVT5cqWEbDwTofzz9o1q7WrC44CvN6x+tqsSROT9zarBSsDWCFABAOIB1di9uxZvDKU0/4IBQIWSRD273fNsH6WYseOHRTYubP2SrAVELDwj7CYgB06lJMfuBK3b90iX28fjj5gCQELx2sRsDYE3oxoyDkdMHA+DMOxxZFRillnZNCAAVS+XHmLPBAwLIcjF+xqBceif79+nMDCEltTiA+LFIaulqEtMTGR+xBLrMDOnTOXHYXOn387xq6QdeCYW716dafOj+8IwBQGK7DTcuhwjYLxGj4rSKnqSiBMIcz0zHGwTa+gn4bPCpy3fxABaxsWqMackxBaesH5mM0NGDDQ5Tq6hGXL2InLVCM3p+CBQBq7ypUq0VUXzOvuyKDNd+rQgTw9PCzSMSL3dpkyZejwIdeyhcZqH7yssxtCSy84d+qUKZzuOkXSNOeIvXv3kJ8a8F1tYcLewG5M7z59LLJjivMhhhMTErSruw5wErXEjin6eQ8Pd2rbprV2ZefAoQTsoUOHOF4iUs3ldMBABpyFCxZqV3YdEIqsrBIbEJ85eSj4gXB35xSzgmPx+vUrat+uHefStoSAxUo82pSrZbW7cf0GC9gpSnzmZJBetOinqCjOnLc8N0Bcam/Vrl3RqdDeQHSS6OheOXo2MFYjygccHJHxztVA/NvixYvl2NQLpVjRohQfF6dd2TlwKAH79OlTznozdOiwbD8UOG/K5CkshJHj3RUJDgri6AHZFbAtmjbjMFzI2rRksWSmcUSiIiM5eoAlBCzsX8uXK+uSogHRTHIySGOAxoQ8OCSEtmzZol1VyC6nT50m3yredPqk64kde+OUEpxdunThFO7ZXXDCc4VUy5jgIS2tqwFTDHd3d6ru55ftvhrnwXygQoUKdPHCBe3KzoFDCViwVXXyeCji1Ewiuw9Ft4gIp5uJmMO+PXuoVMmSVKtmzWw9FDgHkQxg+4j8+YLjAY9e2C+bur/mFAhYdI5VfX15gulqnDt3loLUZHjC+AnZErE4B45gcFB98fy5dlUhuyDVuK+3Nx0+dEirEWwFdhMQnQTRfrIzVi9U58AJrHNgIO3ZvVu7qusxYdw4Kly4MCcjMHfRCcfD2bpIkSI0csQI7YrOg8MJWHjQIR4s7MXgSY1Gbqrxpy36AwS7nOie0S5vI4V0skgHChFqjojFsRArEMD79u7VriY4GnvVJAZRCAIaNsz2SjwK2gMCbSOih6uycsUKClSDLCKbmCNicSzSWmM36PTp09rVhJyQovp1v6q+tGvXLq1GsCU3b95k+9WBAwdye8+qkMWxMB1AAgMsNrmyaQ2cuZqpPhoLDjAlyGp/rYtXnIdx3hmdbB1OwIJHjx7RkCFDWMRieyKjBwP18BKeM2cO9YrpTT169KRLapbu6rx88YJi+/blmRnCdECIZPRg6CIXWZtKFC9OCUuXalcSHJHnz5+zh6tHDhy50F5gPgCnQFdMy6wDr945c2ZTUFAwTZw4MdOBGu/j30GDBvE5e9RkQrAMyB1fq0YN2rLZ/lPUugonTpxgW/HY2FgehzMbr/E+4rSHhYVz3HcIOFfn4vnzVLd2bRajcJpF7O70xmvUo0+Hb4Knpyc1VH00si46Iw4pYAFmZaGhoWw7hu033c4Gjd+4YBY3fPhwnslhpWPYsGEuaUtjin379nFsOBiJI6RS/bp1ufGnLZjFYZsYK3YVK1TgyANnz5zRriI4KmtWrWLx2cDMVXi9oG2UKVOa2rVtS69fvdKu6pqcOX2aOnXqxH0McvxjAJ6fpj9C/zR33jwaN24cdVWTb6TFRuxXcTiyLA3VxCwpSZKr2AsPHzykmF69WMTCqx4RgGD3bfxs6M8HTAYgdBFSDo5bq1UfJRhA5sQihQtz4hgIU/9Ght2ztCXA35+qVPHixanGauzGbquzrmA7pIA9cuQIPwznzp7lfOQQpRg4wtVggMEDKxuwK4uMjGL7NDh+JScl05UrV1RdpEvb0+igQcMOcr4aUA8dOECdOnbkFLNFixZVYrYcG467Va7MAgX2N+5ubjRk8GC6cf06dekSSB07dMBFtKsJjgiSeCAuIO45Oj1zMnLhWKzeIv7rqZMntSu6LjPUwAsTAthgIl4lVo8wWPdSAze2T/v168e2gOin8O+ypUvpwYMHPBGHU+orF58AWJLmajIG8zLBPkCYOeyYYgt71cqV/ExAnMK0AOM0no+YmBgev7HQNGL4cF613bVzJx9z79497UquCzInYgyGoF+tfsMG9etTUSVQkUioYsUK3BdXVH1xyZIlONoAFqZgXqknlNi0aZN2JefC4QSsHolg8eLFWg3xiurly5dow/r1nN4RA8jsmTNp3do1HHrjmZFzCeKgDoRHo4tlDUrLhfPn31j9wQra+XPnaOmSJTSw/wAKCw2hyG7daOTwEbQhOfmNHO1nz5ylcmXKsO2f4LhMnzadhg8fxjFhCxcqRPXr1c3QlKSFKngfdliIIVu+XDl2qnR1YE8fERFBJzUhj8khJnoYgBcvRNSTySxwlyck8OT7/v37fBy4f+8+J0NYs1qy2VmKzp060jgXSztqr2D8xU4pIhLowPEXzwrELCZwGK/nq3F744YNdFUJNX0yh3+xu7pUzNXYAcu/YcNU3QIddODAAZo+dRrFREdTcFAX9W8vmjZlCocbffTwIR8HNm7YyAt3zjgRcDgBuzwxkbcjnmTTLgY3tqcaMHbu3KHVuCbIkDIpB5lN4EhXxctLAoY7KAcPHuQVQiShwIDC21NqRo+g2TApgGCFWDUu8ILFim2xYkXp63z5aKnRJNKVwcQZYX5+eJ29pCiwgcUgj8FbyDnd1MQcY4RgW169fMW7oXPnzNFqzAe7pfB1cbUsf8ak3L1LXp6etGTJEq3GPDARGDx4sFPuSjiUgL1y5TIPuofU4JsTsNqBLYtnz1wv7A+4eeMGr77qK0bZAY50NWvUYLMCwbGAUwTa//Lly7Uaw6ohHF9atWzBjgKwjUV0AWxbYWsKUSdQ5+vjQ1OnTGK715DgYO1s1wW/G8wDkpNzZnM5efIUtg10pjzltiK2dx+KCO+qvRJsxbp169hcxnjHwVzwPMBEMLvizRlAMgMsHDxWY252OXfunLYS7lzmXg4jYH/84QcaM3o0Z73JKViFxYO1ebNz2oVkxuJFi2jEiBE8+OYEbPnAbvbYsWNajeAIYEsOtmem4rYizezRI0fYoWKAEmbBXYKoR1QUTZowge/3A20wOnniBCfD2LZ1K792VU4cP06R6ve5e/euVpM9kEIW9n7rk5O1GiG7jB87lidYgu24desWL5Ls3LlTq8k+x44d5WshJJer8fjxY14owo5pToG/y8BBA+nlS+cxn3QYAYu84926dqPb6sGwBGvXrKGY3liFfabVuAaYDSML04H9+7WanBEWEsL5lSF8BPvn/PnzvIsB58ecMrB/f3YmcOUA/EiXiQgolmDH9h18b2A/K2SfmXFx1LxZM+2VYAtg9z169GiLjQtw7EJEIVcDfibYBbtz+7ZWk32w+ICFuw3rN2g1jo9DCFiILsRvXbt2rVaTc7CN2qtXjMutwsJ8AmFKLOX1DK/rShUq0BKxh7R7sB2HlXdLCS50qh7u7rRAzexdkZSUu284b+UU7IiMHz+Ow2zJhDD7YJyAF7ZgGw7u359qX28pjh096nKTOzhWN2valIYNHarV5JxtW7dxn2UJQWwPOISARRiOgQMHWTxyAEJLwAPY2GPPmcGWce8YJdotHFID2xtVPD3ZtlawXxAxgDsvCzrezZo5kx0MnKVDNIfk5GQOAQRnFUuBHSY4rWyR6A7ZZvfu3VS9enXtlZCbwCEUoSwTExO1GguhJncI+zjbhVZhd+7YThXLl7dozHVMjEeOGkXTp03TahwbuxewSLGYNgyHpUB4LXirWnJl156BPRK2EOCAZUnwO8JzvV9srFYj2BuwsYyIjGA7VksCE5x6devSUBdz5sNqNiIPWCNgPnaFunXrynaEgvnAydfH21sipNgAhGGEfb01TPMg5Dj0owVXdu2ZwMDOFKEms5bmwgWDGdnRI0e1GsfFrgXsq5cvcxyGIzOwCmsNUWdvYMDFalFCQoJWY1mwuleubBnabyHbWsGyxMXFsTcv0p5amg1KFCMmLBy7XAU4LiK2IiYGloZXSUaOzFGYO1cGTj/eVbwsuoUtZM7Fixd5sckS9vXpAfMaSzhy2zvHjx/nPvXgAeuMp8h8hugpju6/YNcCNjkpicUlUtFZC9xA3Eg4dTkz6NSxNWnNVYme6l41DvCnFy6eJMLeOK7EFlIzYoCxBogQ0rljRwoKCtJqnJ8pU6ZyEHZrgQw6WCWRrIHmg4Qs3l5eHE1DyB0w6RoxfITVt6axCguRfOHCBa3GOUFSgtatWmqvLA9CcvXs2dPhdY/dClg9Vimy2VibXbt2WW01xV4YM2aMVVeyAdLdVa5UiWbPkjSO9sLzZ894S8/aTnYQyWXLlKFNGzdqNc4L7H0xGTx50rorzuvXJ1NkRKSadOYsRJergeyCvt4+Fou0ImQOwulhuzs3zDawMzFlymTtlfMBx+iKFSpY3NwrLfv27VUaqxvduO64vit2KWDhjTthwgQaO3ZsrnjjwjnMmVPWXbx4gScDV69YP9MPRLJb5Up0/ZqEArIHEhMSOPc44glaG8SNhT2ss4emQz5yOJVaKpJHesDcY/jw4TR1Ss5jQLoS9+6lUM3qfrTFReN85zZIURoRGZlrk1eYhmA8O2NB5yZ7YtTIkRyeMDe0D0wyJk6cqL1yPOxSwO7ft5/Cw8N5RS+32L1rF6+qIG2bs4E87LnVSGGSgZSjvaKjtRrBVsDZAdvQBw8c0Gqsy62bNzmslrVX+m3Jc9W+Y/vGst1vbgCzj7CwcDqg+kQha2B7tE6tWpIUIpdALGRMtKxhX58esOlHnNmcJuOxN6A/qlTxYme43AC7FRgj9u3bp9U4FnYnYLFShBWjlStWajW5gyFf8BCnW4VlU4zwrrnqYIOtu9KlStH2bdu0GiG3QccOs5Epk3PX4WHWrJksYp01rBYcVLDadP/ePa3G+qxevZrjYOfm33R0mjRpQgkJFg7lJLwF4rPCJhUJUnITrMJCeCETnjOBbFnVfKvSgwcPtBrrg5BnCH1mKjOjvWN3Aha2egi0/+xp7m9DHjlyhAen69evaTWOz9KlS2jo0CHsaJOb4B5iO9kRHwpnYMf27Rzz9eaN3E2/CJtb3PfBgwZqNc7F5EmTaebMmdqr3AGT62FDh1ksAYUr0LJlS1q0aJH2SrAGvBuh+vklubRamBY8h860Cvvy5UuqXasWTZo4QavJHZ48eUJ9+/SlZcuWaTWOg10J2HPnzvGsCrM6W6CHr3GWlHVIHYe0sXv27NFqcg9sJ3t5eLD5gpC73EtJ4egdttpChfNBubJl6bQVYjfbEiQZsGTmLXOAZ31YqGVSALsCoSHBSvQP0V4J1mDVylVsKmarEJQ31RgD52s4kDoDa9asIbdKlei6DbKNHTx4kLXXtWu5Z7ZpCexGwL5+/YqGDx9m1dA0WeGoEs9sf3vN8Vdhk5OS2QMdM2VbsGjhQo5KcDUXbZkFbOPPpiFDhljdySgjOnfqSMFOFlZr1cqVHEs5N5wrTJGYkEgxMTFs4ylkTLeuXalvnz7aK8HSIKVreFg47bex7eSCBfNpqOrrkHbV0WnZvDkN6N9fe5X7TJw4gcaNHctZzxwFuxGwWzZvpsiICJs7UWE7YtTIUQ6/CgtnKohXa4fiyAh0Kngow0JDtRrB2mB1MFTNpJHBzpbA5hphtfBcOwPPnxmeJ1uGCcMWIwT0nNkSpi4zhgwaTCFdXCcucW4D73V7SLRx69ZNjkjg6CHTYPKFxAW2jKwAfxks3u3bu1ersX/sQsCmpNzlrbmNdhJDEsGSEZHAkTO5ILZt9x49bJ5hDOYgZUqXps0bJaSNtcGkBelN58+fr9XYloH9+1Ojhg04TJ2jg6D46KMQMsiWnD17lpNSOMu2qbUYM2oUdWjXXnslWBJE7IHQgeCxBxYsWECDBw926FXYoMBA6hoWpr2yHTBjYLOQh9ZLHmVJ7ELAWjPNZXaZOGGCw6asQ9pYPNAJdmKUPVCJqjq1a7OxuGA9Vq3SbNJy0YM1I2AH7Va5MnvWOjoIQxcfH6+9si2LFy2iPn36iINkBsyfO5cCGjXSXgmWAgsiyOC0ZvVqrcb2IDoHbP4daeXQmBMnTvDq6wE7CGWlO+YttnLiG0thcwELm9PQkFC6eME6aS6zy7mzZx02ZR2iKVg7baw5wCzEu0oVnhQI1gGpR3n7Z599deIzlejz8vR06LBaEOJ4nmxtlqED4Rob25cWLlig1QhpWZ6YQPXr1dNeCZYCk1Ek/bG3HPqwT+/Ttw9HQXE0+vXtS21at7KbBTzsNkH7XLJS6nFLYlMBi4w9HIbDTtX+pIkT7cLOx1yQwSy3Q/1kxvKEBLaJtHb6TZfkxx8NGVXGj9cq7IdnSmxh9X3IoEFajeOxatVKNs2wp3A9iPAQHBKSq/GdHYnDhw+Tj4+P04RYsgf0RZ1TNojCkRkPHzygqKgo2rpli1bjGMAMo1KlSrRu7Vqtxj6YPn0ajRo1ymYOq1nFpgJ2xfLlnLTAXreW4T0Puzc8uI7ChfPn+TMjw4Y9gTi0HTt0oC6dO2s1gqXYuXMHr77aIvxKVkhOSuLJiz0OfJnx4sUL6tOnr10OjLB17tevn9On7s0Ox44d45X/Bw/uazVCTjAk+hls187NMGuAaY0jPQ9jx4yhJo0bs4OmPYHdW+gIe09GZDEB+8MPrznuKFbY4Pm+Xg1a29SXv6yE1FMTAhVpLjHo7rVjuxXMPhBaAoPEJvWdNiQnc8q1W7du2VWDwyoXxDaM65HSr1evaDp+/Bg7nNiTXTGypiA+aNK6dVqNkBFof7DvOq5+N/2Z2rFjO09OdPtHGNv36NGD1tn5bxoSHEzBXYL486JgxcTeOm2AzwZHqc2bNvEzjy1TmA/Y24QQPHn8mMNqJSQkaDU/8eLFc17d2bt3D7cb9F2I9XhHDUy2DK+WW2DRwbuKF0/ohbfBs4dxbP/+/bRh/XpuI/v376Mbqs1g0pYWTEJhZ2rPEwJ8n8ioKE5ljWd308YN3HdiHIRfiD2APv3u3btqrN5JM6ZNp0oVK1J4aCg7ZUI/2dOOwXrVLrp3j6L79+03A6BFBCy2s7DVHhkRyVsMCC6Mxo6OHx6z6GQREzTVa1HdJGxzI6uNPYKHG+IbsTQhslGi1PfBFgX+Hxoaxu/hwYd4tBWYJS1bupRnnSEhoRxOBAb2PZWgwX3Aa2wtYzXCXhg9ciRV96vGAsYU6Dzx3n31MCPepb10PLkJOrFDSmxMmDBB3cNuHBYr7TOF1H8rV66k+BlxPGl5ZYdiEKDDRueMTrpAgQJUw8+Ps83UqlmTWrVqRcOHDeMQOLbeqkLkEeR07x7VnULUZ8XqA37vCNWn4dnCJGH2nNl2t8qNKB/4fEh0ALD6tGHDeho4cAD3Aeiv8D3Qd4Wp/yNY+YgRI3hF2ZRQcRZgvwe7+2NHjmg1AkD72Lx5M8dONW4fKOHhXbntDxo0iMPF6ZNk2IDjecCYaI/cvn2Ls4GhT8Tn76r6SG7zkVGp4yD6Uvjb2KqfQZ9+8MABjjTg7uZGxYoV43TrFSqUp3LlylLx4sXI18eHYxfDqcsewEQXbWHu3Llazdsgwgwm0ii2WJDIkYB9/OgxxcXHUVBQMIsoiNg5avYzb9483t7Cv9hyQLo3DMAYfDdv3kI7d+7k/+d2msusgBn7QHXTgoNDeMsE6Rv176N/J9QNHqw6ADVwYHX21MlczjikHoZtW7el/qYjtbi1xr87Gh2iKMDGuEuXIJo8eTKLQlvz8OFDqlmjBg0bOlSrMYhWDKiIVtC8aVOqVtWXqnh5Ui11XGCnTjRNfY+LLrKSkpKSws9RUFAQ9e0by/cN99K4/eFewz4J979V6zZ2E20iLXiWQoKDqGSJEtxJV6talWpUr55asMWLTrxE8eJsWgIRmdtgQF8wfwFPCqKje9H48ePf6sPwGhNBiFhMXlesWGFXq5izZs7iCTWcN/uq5x2fcah6vhDdRf8e+neZPn26Erfo34L5HHtznrUUWCzx861Ku3bs1GqEixfO02Ae24JZmKAtGLcP9DOGsW0wBalj+vfvR2dOn6YZ02fwGG5Pu3kAonD7tq0srnkcVH3izDTjIJ5d9KG9lT7p0qULTZ06VY2DuRul5cGDB+yohX6ufPnyPIGH2QDGOr00CQig6qpPRH9YtnQZmqzGAHvYoYKYxsTXuG9+8uQx7VIabtq0adyOontGc0HbmqH6HOwE55ZZaLYFLJbBBw4YyF9uqvoiCxcu5KI/DMZFrx89ajQ7HgQGdqH1yeu1K9kPWPVCdhE09tmzZ3MubcSYS/t9UIfvNGf2HBaIGPywFZNbLF++nDoHBtKwYcP586T3u+Nz4jtMV50SHnDM7pBBxdasT06icmXLsEnB/r17qZl6gIurGSnixXp7V+HVuTp16lB1Pz+ereLBL1euHAtcrAY4K9gCQ7B8rLpOV4MG7qup9oeC+4p/kfoYYjdxWQJ36PZCUtI6zsJWunQp9gZHJ42kFi2aNUsteI36BvXqq+NKU8WKFWn1qlXaFawPVpjGjBnDg/WkiZNSn+u0vzWKfi/GKYHbRf3eU9WkCskN7AHsWERHR1MnNQmAh/gcJUQy67swCcLOGFan7GXFx5Ig8klNJQhsmcjFnoCzX7i611ilxNiWXt+COrQdCL/Y2H68+IFVWnvMprhSTSQxDmJHAZ89ve+EehQIdvSt/fsP4IWC3AAmGejjihQpQvXq1knt+3Thalz0/hGT++8Lfk/RasJsD1EVoHMwIcZn2bJ5C/XoqSbyYWHUR41VGH+w4IKC+wB/AUygsRO8betWq694Z0vA4otg2zIyMoobOhpH2kZjquA4rApiAMDWtz1x/vx5FuNYWcVDYOpBSFtwDL4Tbi5mtRBk1gb57fHQYkvEnN997tx5qlFFU/9+/Wye3AAg65qnuzvHv6tYoQL5N2yYKmr0h1x/DYGLWWvRokWperVqdPjQIe0qzgNWpiE+sMqHlRBz7u1EJb46dw7ktmEPrF2zhkqUKMErrPp9NNVh64XfV6VKlSpUTN3jNbkgYmGaglUOdMSI2GHO7z1jRhzv0MxWItAegJ0fTAOwE4PPl9W+C2XAwIEsUJzNVhR+Fw3UxGnFiuVajeuCsQ33GMLNnPaBY4cPG04hqq3bmwPm2rVrU8dBfTKfWcH3mTdvLnXv3oMGDRzE297WBCuonTt1YnMBrLDqE/bMCo5rUL8+FSxYkGKVSLQ195TY760mu9hlR783Qmk/Xffp7UlvLyiYICGuf6Ca/CCagTVT2WdLwCInN1Yt0IFn5WEwLviCCAqO89Hx2gMvnr/gpXDMThFb0dTnzqjgO8GUADfYmg/F5UuXeKDCdk5WH1q94D5BGOH8WbNsH2JrlJqtffvttzzbbKGJVlMPs17wUDdt0oS3YDw8POi0A3q0Z8Q8NcEICwtX9yjrE0K9wL4cbQI7ARcu2FaIYMsRjglVvLyy3GHrBcfjPJxv7ZircNLCThC22c39vXH8tKlT1fmBHAHClsCMCyupCPNl7vdAQb+A82FO4Ew2sVj5QX+BpA+uDMQDxjbcY7SP7IzXmFjz2GYn0YJg742+Dn402R0HYRsLEwNrMn3aVCpUqBD5N2qUrb6wXt26VLhwYXagsyUws8IiHeyL0V+mt7ujF7yHY2COgvs0ZfJkq60kmy1g4cSA2Ry20rLTYaLgy2Gr1F7ijGGbiVdU1KzC3AccRX8ocLPguWctsHqNpfns/u44D/ZA+K6604ctwAMJkwF25DHjwdZX88qWLUsNGzawC5teSwCHE3QOWBHMyb3FCvvECRO1q9qGkKAgtuPCpMTUPcys4P7CnCCoS6DVTCIQaQDPEVYSzB0A9bJw0UIaNHgwD+y2zIi1YnkiryIb2zKaU9B3YcUECwpIP+1MdOzYkU0lXJktW7bwjufs2Tkb22D6h50VewD26L16GQS5qc+cWcF5iPGO74RoSNYANtjIQggzOHPFq15wnru7OzX297dpOm78ZhifzNmpQsGxyF4IMxT0s9bAbAG7csVKtpvKzsOgF5wbD+cv1WkiZI0t4fh2gwbT4CFDsv1AoCxSA9pwzQbEGsbXsF3FrBFG6Dn5nAvUuYioYO3ZZ3pgFl+3Th3yUA9mdh5sCBwYwGNm6iyZvXBf4DWbk2cKbWKKahsQM9dsZK+GaAIwHYDNa2Yr6ukVnIftMzh+7du7R7uyZYE3NSabGJiz+5vjPF344XvbgmdPn1HvmN5sh5bTvgurdFhlsSc76pyC3aYhapLhqvz4w480cOBAdsrK7kQNBW0LJoP9YmNtbpN55fIVNteDA1FO+0s4wVprhX7G9Om8SNOsSROT/VxWCvpCpEOGCQIiHtmCkydPso8FFr6y08eg3WHHHWEUraH1zBawQwYP4e2mnHSYKGh8GLRt7UGNFJzo6GDgnZMHAudieR1OYNZIfAD7RjhiZXelRS+4b6PHjGFzCVuEXlq6eDHbOcImKLsiB8IXM1tsN9+5bR/pcrMLBgQ4AuZUhKCgbaCN2KqzGzduLAtY2LOaum9ZLWgXWMXFCqk1wMQntm9sjn9vnA+Hz3j13NsCeAZjUotVjpz2XZgYo+3YazKM7BDTK5p69+qlvXI9EIMdu6XTLDC2YfUNk75Ll2wbDxm2rwiTNT8H3wcFz+4o1efG9utn8UkbrtepY0dyc3PL9uqrXnA+nJttNRHDrm9OVrtR0H569OzJZleWxiwBC+cfOG7BpmHhwpw3IMwOoextyYEDB/jBNPUZzS24UXAEQ7IDSwOjaWxX5nTQxWdEvEt0AghqnpvgwUZYLHin5+TBbqFKk8YBHDsv0UQQd0cCZhBoM5j85GSQQcFsF4IKXui5DSZDrVq0IE9PT4t02gijBjMEa2yd4TfCNmROnyWcD8/bocOG2WTlEtvDECjZsdt/q6jJD/rBU6dyOSSgFRk+dCgFBQZqr1wP7AxgtzQnOw3GBVEM4FluS7DQBH8TS4yDmLRhFfb2rVva1S0DnJ58vL05XGR2F2n0YugLvahN69b0OpdD92FsQoiy7K6+6gXncp4A9Vtb2kfILAF769ZNDoid09VKFHwprDph28qW8eW2bt1CEd0iLPKAQ0BgVXn16tXa1S3H+Anjc7wVhILviRUbrLZcunRJu3rugAcbwqR2zZoWebDLli3zRjxZRwTe39gByK79tXHBVjA8jadNs/xMNzNgGoJVcXbKs8AKLDr/qr6+nJ3GkiDaQ/ce3dncwhJ9GMJwwYHqhRU9bdMD/Qz6m5wO5ii4BvqErTYWKJZkwvjx1FYN/M5kFmEOMJXBQoUl2geeFdiNr1xu26gOcFaFh3tOvxO+T1xcPAs0S/uDYGEIJnJwwrJEX1i9uiH5S26nyEXiBYxNWDzLSV+Jc2GLjmsdPXJYu7plME/A3rzJK7CWFLBDlACxZbYlrGJYVsD2oFVWCAOEAOuWFbARSsDmbhDzm6r9wEEHdj2WELCIRtCpYwe7cATMLufPn1MPdjjH2rPEMwUxZY2tmsx4rGbWEJzoaC3RacNO2lPdX0vHa3z48AE/o1h9scTvrQtYa4aKSY/Vq1dZWMBGcH/oLCyYN4/8GzV0yWx+YNv27TwpsUT7wLNiFwJWPW+WE7BxVhKwt8nd3c2CArY6L/rktoBNXpdEPVT/klOzRRRcIyoykjO8WRLzTAgePqSoqO40ZYplOn9kvMLSsi2BCQEC7+b0+6DgGtgO3rt3r3Z1ywGHEYuZEKgHFx3bndu3tavnDgjqXKpUKWocEGDyYTWnQMAi9V7Txk1s6qGZU9iEQM1MLWVCgDaCGXNuY1iBrWbRFVhkZEMWG0sD+2+LmRBgF8mGJgQIzJ7T76EXeGXDacNZWLVyBdWpXduusqblJvv37afwcIMJwfwFpu+5OQXmCLae4MB5q1+//hYZB3EtCFhLJ8e5d+8ej021alrOhKB1y5a5bkKwQk1WkCDFEtoIpUf3HpRs4VjlZjtxYRVwyJChFmlACNq+bIltExpcs6ATF1Y24cRljZSY69aupQglOi3hxIVVI8QFzO1UdfoKLOLiWeLBxjYNAkU78grss6dPqY8SVKNHGYLQm7pn5pRuqkO2RUIDdK5tW7fhVVPcG1P3LKsF5yMJAv61RhsdN3asRezocD4mDLAptwVnVD/D4W3iZ+a478JgDoGC/tBZ2Ld3LwsJZ4pvaw6IGw4baUuMbUjRyk5cF3PX7Cwta9es5p2CnHwfFDy7o0aPYgfaHy08fmA86tC+PWeRtERfWLZMGU7TmtskrVvHOzwWW4GNiuL425bEbAGbkLCMV+9y+kBA7CEeKTphW/Ly5QsaMKA/Dc1hZAWcC5MIOIhYo8O8euUqD1aWCB/SHdmebLBKd1/NTH04VaxlZqZl1IPtDGFysGKKyVxOnymYDoSGhdKVy7bxFIYwRPgrS0QhKFWqJKeetgabN2/mZyknHTN+7zmzZ3NIn71WCveVGchJ3qtXNMfTzmnfhQyECCXoyJPBtJw7d46dCm1h3mEP4F7CvCWnUYNw7ogRI9VEuw9nOLMlEOXYKcipKMd34nCSc60TTnLq5ClUvHjxHIfRQgxYOCtDTOY2cALEjrIlbGCxgwwnwGNHj2pXtwxmC9irV65w6BbE9sruQ4HzkN0DDji2COWUFjQOPBRz52TfWxODIVZyrZbL/ccf+TfvpWVUMfUZMis4b+qUqTzonjlj3UxHpsA2a+dOnS0ThSAggEM2IR+2o6NnloFjUU7uLcKdQETaCqT4LVWyJNWvl33bL5zXoH49KlmyhNXiq8IxDBOGkTkQfosWLqKhQ4fxToYtMxQtXbKEbahNfcasFBbicwxCfIsS9s7E5cuXyNPD3So7Yo7ChvUbOFYx7nF2xjacAxMEjPkrV67Urmo7IMpHqYktZ83MZiQkPPOGhD7BdPGCdfxALl64wFkjYVKV3bEO52ECBn8AW8TfhfkWnABh5pndfhIF5yLlL2xgLZ3G3mwBCxYvXswrGNkJz6E3HqRhPGQnOe1hHN2/X3+OCZedGwXbQ8x0o3tGs5eztUB8WQgd2O+Z68yl3yfMgmy15QkWq9+3aJEiOY4D61etGtsGIbKBM4AdCXQWmAiZ+0yhLYwbN56CgoJ51cmWhIeGKfFZku8tJhqm7l9GBeeVLl2KwlT/gkmbtcCkFRmKzM0ug4LjkSYRudi3b9umXdE2PFSDDDKwZdfBE98FZhBYUMhtJxFrg4Qe3qqPsPSqjyOBLHEwl8lu3GOcg7ENbQw+MPbAKQTXV+ITosjc74S+VV9sio+L165oHRAFo0jhwryKau5YhzEOCWEKFizItty2AnFgYQebnbajF4T5gwMg/DwsTbYELFYckLlFt4/I6pdDBztt2nQK7NKF/29PIP4hxKHu4ZgVEYFj8D2QgQvf6egR63eUa9asoc6dA3kSkNUBS/8+vXr1ohg1c4WRua1AJ1irVs1s2wehI0AMWHQM48eO067q+MCZC0KiZ3QvvmdZFbFoA1i57dS5s1WiX5gLJllYYddtWE3dw/QKjsd5SMF45rR1dwjg2IOJILbIEMLMnD6Mg7orgQ1zHnvYcke4my6q/0GIIXy+rPZd+M5Ih4vvcu6sbSc+1uDunbtUo5ofbbGw3Z2jwQsfwSHsbGju2AbzFKxUHjt6RLuafYDVYEwgzclMieOgVzAOwvb10SPrCnL4N7Ru1YqKlyjB2SNbZlHEoh9s1LAhFSpUiHr16Knm8bbrY04rXYT7n91VWLQhzsSltBVWpS1NtgQsQExYNAIY/sMeBV/O1BfUO0r8O3bsWG50sIewR89Q2LLhh8b3gt1HeoOB/p2wAo3ZKXL95lYecaQHXLx4CQsW2Nwa/76mPie+A2Y+CCIcHd2Tt9VsDQy5kY0LnubmiBx9FlumjMERzNLbEbbm2tVr6h714nuFe5ZZ+8P/kU2ms2oL2E6zl3BBGzdsYFMCOHThnmXWceN9HAfxivSLuWXv9ejhIxo2fLjBfEML1m3qWdJ/bxRk8UJqxfHjx3HoMHth8+ZNLGKRHAb9UkZtB++hD+7bty+L1yOH7UucWApM1GupPibZBvaD9gYWV0JCQtXY1o/HNr2dm2rriCcNczqsygcHB9l8lyE9li1dyos5mLjhc6f/7Brei5thCJsFAZtbzorI9AkxivGuQb16PN6hr0u7O4XX6AfxPkJmYeW1a1gYr6DbGvyG6PPM3a3CsTPj4/ncpepeWYNsC1iAVSPMgNBxQvTh/+gY8cH1DhRfGjFMEX4LdjRYQbTnuHynT5/mLRd9NRZbhfqAgIIZ3Az1IGDVFR0CbOCOHzuunZ07YNVn48aN7GEKr3NMDPA7o9HgM+L3RyeFFSJ0Qrg/uAe5HTYrI6YqwfC9ekj9/PxSH2rjBzptwTFNmzRhj0x4Flsjr7I9gCDYuJ9Y0ce9wzOlDzi4t7jHuNc4Bp0xJpCbN222O+ebzZs2cixEOHXBhguOXamdt1b014iXCHtmrNwmJyVpV8gdsJs0e9YsNifAszx50qS3+jAE4cYqArbBsJK1bOkym+eEN8WRI0d4cEY/i8ktJkHor/S+C/3Y9OkzOHkMtmDRvmxtcmJNcI8C/Bup775Qq3Ftzp45y5MWrKihDbw1tqn/o80MV5M6+ITgeThx/IR2tn2CtNkZjoPqWcY4CPNA9KkYB1Pu5q7ZGZyXEU8VIrZChQrcH+omdHofCDMDCFekjcXkf5TSF/Zi0oPnCLtVmOxisRK/bdqJgnHBezgGx6Id4VxrhbrMkYAFGDhhY4TQTIhOgAEVAytWkfAvGldkVBQrcUcJ0fL0yVMOuAshyw+H+l76d8L/YT+DaANrVq+yeGo0c7h16xbNnzeXotXAis+Z+rtrnxMxIpHq8uDBg3Y5aYhXHShy3ldUD7W/mqXqQlUXOPoDDk9OrNYWVR0AHn7YQDkzuFcIATRixHB+ntI+U3jdo0dP7iRu29GkJC2XLl7kJCHolOGRi7BnuI+IzYl/PTzcWbgiNnDX8K508aLlt5iyCtrUxIkTUn/ftL83/o8B39ZhhDIDJjoIuQdzlPT6LvRrGPidzeY1La9eveSJ07y5uR9xxV7BhA1h9jB5QfuATwTaBgraOerQdtauWWM3Nq+Zgfji8+fPY8dMfH74EqQ+u3iNcXD4CHYKze1YqjrQSbt27qTAzp2pYsWKPLEvV64cT9qxKIPXbm5uHCrzqJqI2htoN5gIYMV76JChapJvWFQxVbAAgGM6B3bhCZE1V5FzLGCNgaCCPRbC1GCFEKnsIG6t6dhkTSAkLly4QHt276aNmzbRJlV279pF586dtavYgs+ePVUz5eO0fft2/owoeFivX7+uHWG/HD18mNq1aUOFCxdmIYvVVXhuQuDAUQsPOMQP3hsyeBDPZl2JGzeu0/59+1KfKdzjkydO2MXWUlbB54UzQId27dj847vvClCFCuU5ViK25O3JyQaZvw6pCR8CtuP33qr+xYCC3SZHAvFzYfsI0yZ8D/QJ6Mdgh+ZKgf2xk2brZDn2CNoA2gLahz5mQGAhIoqjtg+ILIyD0B1o8+gz0XdC4NoTVy5d5sUvP79qlCdPHuoCZ9CtW9ks056BHtq+bTuvzOO5QiQILJBhVRsFk4SYmN68UouV/t27dlt9Z9CiAlYQssPY0WPo+++/p6+//tqwSlezBufVr1enDoUGB/MWL+L/CY4NYkg2atCQ8ubNQ8OGDdVqBcF6YBUO5hSCYE9gktCmdSv67LPP2PTBkcDiyW41GYZpFeKwY8UeBY79qMPuYW7FXhYBK9gMmF/0iIqi/N9+S/ny5WMj97NnTrO9DDw48RBYOkuKYDsQfxVhjTBRgUmRIFibgQP6U2S3btorQbAPEP++VcsWDilgjYFJBnajUWyxci8CVrAJN65fp9atW7NwRenUsSOboAjOy507t9netUCBArRuzRqtVhCsx4hhwyi4SxftlSDYB84iYG2NCFgh10HMXTjyfKWE67fffEN9eve2qTOckDsc2LePYxsWKVLE6R3xBPsgbvp0dgZ1Jbtfwf4RAWsZRMAKucrmjRvJvXJl+vLLLznW3eSJE+06rJpgOZYnJFD+/PnZ+/bu3btarSBYj3lz5lBAI3+rhfERhOwgAtYyiIAVco358+ZxuJAvv/qKQyslLFumvSO4Aoj9m0/de0SXcJQQPYJjsz4piWpWr+5QUTsE50cErGUQAStYHYTSGDN6NNs+YuXV19ubdu3cob0ruArwUv3iiy94S9eewtAJzsuO7ds5NB9CLAmCvSAC1jKIgBWsysMHDygqIoI9z7/66isKaNRIQmK5KKEhIdxhd4+K1GoEwbpcuXKF3N3dHTYWueCciIC1DCJgBauBwaN1y5YsXCFgg7p04VSpguuBGLD+avKCFVjpsIXcAkHsEVv6yuXLWo0g2B4RsJZBBKxgFZB9Cdm0YDLwXf78NLB//1wLbizYHyl371IVxIDNl4/mzJql1QqCdbmrJsy+Pt50cP9+rUYQbI8IWMsgAlawOMizXqliRV55Rcik+Lg47R3BVbl+7RqVLFmSM65JDFght7h37x75Va1KWzdv1moEwfaIgLUMImAFi/Hjjz/S3DlzqHixYixey5YtS6tWrtTeFVyZkydPsnhF2zh6+LBWKwjW5fGjR1SvTl1asXy5ViMItkcErGUQAStYBHiVI+sNIg1AvPp4e9P+vXu1dwVXZ/WqlZwyGDFg79+/r9UKgnV59uwZO44umD9fqxEE2yMC1jKIgBVyDLbpunXtSt988w2nhcWAceniRe1dQSCaNmUKt42qvhLSSMg9fnj9mtq2aU3Tpk7VagTB9oiAtQwiYIUcgZBYzZs1ZXGC0iUwkB12BMGYgQMGUN68ealJQGPJiiTkKsFBQRyHWhDsBRGwlkEErJBtjhw+TNWqVuXMWog0MGjgQHomGW8EE3Tt2pU+//xzCg8L1WoEIXfo27cvDR48WHslCLZHBKxlEAErZIsNyclUvlw5Fq+INDArPp636wQhLS+eP6emTZrQZ0rASmct5DbDhg1lEydBsBdEwFoGEbCCWSDSwOxZs1i0QrxCxK5bs1Z7VxDehmNxevtwTOC5c+dotYKQO4wfN44CO3VC56XVCIJtEQFrGUTAClkGtotDBg2i7777jsVrdT8/OnTggPauIJgGWZDKlC5NBVS7WbN6tVYrCLkDdoeaNWnKkVIEwR4QAWsZRMAKWeLhgwcUFhLCkQYQJqt506Z09coV7V1BSJ/Tp09zeDXEgJXQakJus3jhImpYvwE9Fft8wU4QAWsZRMAKmYKQWLBhRJSBr7/+mrqGhdGjhw+1dwUhY5LWreN2U6FCBbp965ZWKwi5w/rkZKpZvbr0WYLdIALWMoiAFTLkwP79VK1aNRavWEUbNnQoO+UIQlZBDFis2lf19ZVtXCHX2b1rF/n6+kgCDcFuEAFrGUTACumyds0adtKC+ChWtCiniRUEc+nfrx/HgG3auDG9lkgVQi5z7tw5cnd3pzt37mg1gmBbRMBaBhGwwlv88MMPNGPaNI40APFasWJF3oYThOwQFhpKX3zxBYWrfwUht0lJSWEBe/v2ba1GEGyLCFjLIAJWeAPkDh/Yvz/lz5+fxWuN6tXZjEAQsgNWXJs2bcpJDEaNGqnVCkLuAQdUH29v2rtnt1YjCLZFBKxlEAErpPJAdfRBXbqwvSvEa4vmzSXSgJAjsG3r6+NDefLkoUWLFmm1gpB7PHr0iPyqVqWtmzdrNYJgW0TAWgYRsE7EtatXaeuWLdor8zh39iwF+PtzfNevv/mGIrp25Y5fEEzx/PlzOnvmDN24fj1Dp76LFy5Q2TJlONUwohEIQm6DXSWE0VqyaLFWIwi2xSBgW4qAzSEiYJ0IeHvD6erokSNaTdbYu2cPb7EhUxIiDQwfOpSTFghCejx69JAaqwmPW+XK1LBhQ+rcuTPFREfTeNUZL09MpKNHj/LqPVa9vv++AJUoUUKSXgg24cXzF6qtBtDc2eKEKlgfTJiePHlMT58+MVmePX9GDx/c5x1OpNceORKmVT+aPFYvuJ5EcHkbEbBOAgQnHog8efNSzRo16Nq1a9o7GbNq5UoqXbo0i1cEmp8/f772jiBkzKSJE7ndfPvttxzn9ZtvUL7h18jWVqpkSapYoQJPioqpttU1PEwJ3HG0dMliOnjwIGfounXrFj1+/JhTFAuCNfjxhx+oU4cOPLkSBGuzbMkSql2rFjVs0CCDUp/KYGdK9ZNwMPRv1MjEMYbSoH59Lnt3iw13WkTAOglnz55lAfr999/TN0pMtGrRgh5mELgbzjXTEWmgcGG2d61cqRJt2rRRe1cQMgcCtEL58ixQCxYs+FZBWzR+79tvv2GBCwdB1JcoXpw8Veddv25dCgwMpJiYGFqyWLZ5BcsTGhJMI4YP114JgvWAWZWnhwePq5jMp1fQP6JfRF9o6n29IARh44AAeiaZ5N5CBKyTMG7MGBYHuljA/7t160avXr3SjvgJpFTs17dvaqSBWjVr0snjx7V3BSHr9IqOZptpvd2ZU9CBf6c6b70dfquus3rVKu3KgmA5Bg4YQL169dJeCYJ1mT9vHvdrukjNboG4RTjLndu3a1cWjBEB6wQ8h5NCgwY8W9Mb/veq4DWvOhhtz8IrvHPHjrzli2gD7dq2petqxigI2QH204ULFcpxR41dgzGjRmlXFQTLMkq1rcjISO2VIFgX2Ks2a9r0jUWl7BSM09E9emhXFdIiAtYJOLh/P5sCpBUReI0Z3AI1GwTnz51jW5uvlHCFuO0eFSX5wYUcAW/a1q1a5aijRifdtk0bdn4QBGsQFzeD2rRuRT9IJjghl9i+bRuvnhqbUZlTYB9bqUJFjhAkmEYErBMwaMAAFgEmHwL18JQuVYomTZjA8TixVVtQCVuYHLxU4kMQcsqSRYt4u8xU+8usYCKFCBiwpxUEazFn1ixq3rSpRFcRcpUe3bunOzZnVrAoMHnSRO1KgilEwDo4jx89YhtWY/OBtAUrsXgfBREHFsNRRry+BQtx//598vX1pfzffWey/aVXsDJRrGhR2rhhg3YlQbAOq1eupHp16lDK3RS6c/uWmjBdoiOHDtHJEye0IwTB8iBWNiKxYDXVVB+YXsFYXatmDbp/7552JcEUImAdnB3bt1OB7wpkaoOomxMsXbJEO1MQLAdW9M1daUAnLaGNBEtz984dmjh+HPWJiaEeUVHUsUMHqqvEK2IRV69enTw9PTnqSqGChdQxvbWzBME6jDWzb8RYjR0tTLqEjBEB6+AgeHxWHw48FHDaQspYQbAkesatrNp7oc126tgxwyxegpAdYJfdsX17+vzzz3kbFkX3CMe/WA3D5AmxiZFwQxCsCXaoEJsdbc5UX5i2oG/s2KE9/fDDD9oVhPQQAevA3L51i7yrVDHL/hAPB9LESlYPwdJ0Cw/P0mQKHXm1qlU5U5cgWINLFy+Sh5tbun0jIrDAiVUQcgOspiKddmY7pVgAQDz3w4cPaWcKGSEC1oHZsH495VdiACGzTD0MpgoeIKxIjBg+TLuKIFiG7Vu3UmET0TCMC5wKkcBg544d2lmCYB2Q8Q2rrWnbI0RCyRIl6LjEvhZyCUS/wO5nZhN8TKz6x8ZqZwmZIQLWgQkLCcnSilfagg4cZd4cyQ0uWA4kzQjw9093q0zfwkUGOEGwNhANpvpIvA5V9YKQmxw8cIDNVtIzs+K0sm5uWU4DL4iAdViuq0buVrmy2d6NesF52KrYsmmzdkVByDkLFyxgAWtqFRbCISwsTGy7hFwDttlI66mbEqBdYpdgz65d2hGCkHvE9umT7qITdkZnxsdpRwpZQQSsg4JoAlk1Ck+voFOvXLESHTok9jaCZUi5e5eqeHm9ZXv4jWqrNapXl6xvQq4DUwKsekG8QiR0CexMP0oYQcEGYHXV1MITxvIG9RvQk8ePtSOFrCAC1kFp364dd8bGD0FWC2/lqgcIM8EvvviCavj5SSB5wWIgfTFsufT2hs4ayTQO7N+vHSEIuQfEanhYGLdJZCzcvWun9o4g5D4wofrWaOzGeFxI/bs+OVk7QsgqImAdEKSELVeuXJbMB7DygNkdxCr+xWs40cALPLBzZxo2dCjbwsIkQRAswYnjx1mw6qteWI2dNXOm9q4g5D4wJahUoQJ17NiBfhQTFsGGPHr0iOrXq5e6g4qFqJCQYDGtygYiYB0QiIG0djQQChC0eBiMxWqF8uWpUYMGFBkRQePHjqH1SUm8jYEMH/LACNYiKDCQvlZtEateSKcomd8EW7M8MZF27ZTVV8H2rF2zhlO68+5U6dJ05PBh7R3BHETAOhivX7+mls2bc8OHM4JeypYtw8GSO3fqRIMGDqTFCxfSmTNnKCUlhb1xBSE32bVjB0+g/Bs1knSIQrY4d+4crV27ll6+eqXV5Axr2b0+f/6cEpU4Pn/hglYjCBnDETJCDREyxowerdUK5uLwAvbKlas0deo0Gjd+Ao138jJx4iSKje1HefPkof98/DF9mTcvlStblgICAig4OIR69+5DEyZMpOkz4mjqtOk0Rf0ukydP4fNMXc8eyrhx42nmrNl034Wyg2Hle/nyFfzdTf0mjl7QBkeMGEkFC3xPgZ0DuR2aOs6Ry8SJk+nEyZPaHRUszb1796lYsRIUFhau1dg3HTp1olKlStPDh4+0GsEUW7duc9p+z5yCcTkiIoK+UQK2/4ABNGnSZJPHuUpBm1i0aJHZk0yHF7ArVq6m//73f1S7Tl2qW6++05d69RuQf0BjCmjc5KcS0IQa+QdQg4b+/L6p8+yx4LNWr1GTPvnkUzpx4oR2R52fly9fUqnSZbjUb9DQ5G/j6AX3Fm2zYSN/k+87csE9++yzz2n0mLHaHRUsTZs2balAge/p/n3HmNjeun2bPvn0Uwp1EMFtK5o1b0H5vv5GjVWNTD5brlTwG6CPdNYxIKsF379ixUr0qXp+zDVrdHgBm5i4gqr4+NKFi5fpytVrdPnKVSkOUq5eu07HT5yk4iVK0rFjrpMV5/mLF+Tm7kGLlyylGzdvmfxtpNhvwT1r3KQpjRg5SrujgiXZsHET/eEPf6Dp06drNY7BqFGj6Xe//z3t2bNXqxHS0qJFSxowcJAS/HdMPltSXK/cvHWbEpevoP/9738uKGDVF/es4k2nTp+lc+cv0Nlz56U4SIHN2MFDh6lY8RIuJWBfQMC6udO8+Qvo0uUrJn8bKfZbcM+w4zFSBKzFgY2/h6cXffXV1w63HX/nzl3eDaxbr55WI6QFArZvbD9ebDL1bElxvQIRi8UcEbAiYB2qiIAVAeuIRQSs9diwYRP97Gc/o57R0VqNY9GlSxf69a9/Tbt379FqBGNEwEpJW0TAZiJg8bBcv3HzrYIf7vyFiybPsXTB38LWI7bN8Rp/V/8c5ooYfE+cb/x9c3I9SxZ8pmvXb3DJbEIhAjZ9Acu/o2or+j01LrnVbi9evJT6N/W/h/tq3I6zWky1WRRcJzvXs1TB58E9MOe3FQFrPVq3aUu/+MUvaIeDhrvauMkgwEPDwrQawZisCNiMxusLqk8ydY6li6uM1xcvXeY+HZ8Dv3t6fZ/xcfht0vbjekE93sdxOB7nmTrOuOB4EbAmBCxenz5zjoaPGEmBamYcHBKSWroEBdGUadNp3/6DVm9A+ByTp0ylDh070sBBg/j11m3b+TN06tyZFi5abNZnOHX6DB05eoxOnjrNr/FQb9u+nYKCg/l68xcstMlDgcYKm9bIqCguBw4eylAMiIA1LWDRPo4dP0G9+/blNmLcbkNCQ2n23Hl0+Mgx9Xtb7x6jTa1Zu47bVFh4OO3es5fOnD1HMb17cxsbNHiwWYMJzj2q7jHaB17jO6Id9+7Th683YODAXBuc9HJBtVc8Q3Pmzufvid925szZ6rc/mWHHi3smAtbyPHz0iL7N/x07QyHYuyNy+/YdNRB/Qt9+m5+ePn2q1Qo6GQlY9AnoJ0aOHmNyvMYYumfvAauPbRizpk2fQR07deIIAajbvmNn6vg6b/78HI/XO3bu4u+F682ZOzfXx2t8R5TlK1ZSt4gI/r0nTZ5Chw4ffaPvwz3B642btvCY3jkwkKbNiKMTJ0+91V/jONTjt8P36tGzJ63fsInrcR3jY42LCNh0BCxuEBpNyVKleVactvzqV7+iDz/8iKZMnZ7hgJWTgs+EG12zdh3+m/m/+44/11wlQvTP0bVrN56xmDrfuBi+3wWqW7cevfPOO9Qrpjd3BGgAEEP69fBgZOV6lir4Ppip7leCtUbNWvwZ/vKXv9LGjZsz/F1FwJoWsGgve/cd4OgM+j01Ltii/PLLr2jpskSrdXxoV8NHjDL8vd/8hlasXMXP0sf/+Q/Xff99QW53ps5NW3CtoUOH07vvvkve3j7coaPNQKRjsMf1kK0rNztxtMtt23fyffjVr36Z+tti9e/7goVoXdL6dNsuPqcIWMtz6PBh+vnPf041VR/iqCDCSOkyZeg36pmBaBHeJDMBe/rMWSpfoWLq82hcMF5/8MG/afzESVYbr1Fw7foNGvHf/CpfPq5btHhJ6ueA2MvqeI1+Dn3F73//e4qK6sHfG/3HEiXY9Ot16NAx18frw0eOUoMGDflz6Z8DRR9X8Bvg8+Pf6F4x9Kc//Tn1GDyjFSpW5EU4/T7gX4hytP1f/vKn/vTPf/kLxfTuw3/ToF/e/jwiYNMVsIZVntJlyvKP+eGHH5Kfnx/VqFGDypQty50M6v/xj39S8vqN3LAgxFDwg+Om4P/G10U9fnDU49/0bgqOwzFosLhOHSU68be++64Av79+w0aqU6eu+iw1OW6rsRjANdP+DcxM8X/8+89//pOvFRnZne6m3OO/kXq96jU47mba6126YvhuOBafTX8PBZ8Py/14D8fq3/vy1fS/n15wLYitIUOG8aoDPhfK3//+Pm3avIWvZeo8FBGw6QhY9ZvuO3CQPv3sM/4t8+TJy222evXqVLhIERZZqP8q39c8acC907dr9HaXdnaMetxfvIe/aeq+ok4/5rq6HlZC8HfwnCBcHY5p176D+hw1OD6n8b01bjfGbQz/3rv/kEUJrlWmbLnU5wyCGJ03rhcSEvrGZz6nJmr69VDSfh8UXAffW39G9OuirWfUbvHeCfW3PT2r8GfC8+/j40MeHh705z//hesKKIF+6PCR1O9hXPB3RMBangULF/Nv37ZdB63GMalVy9DWV69eo9UIOpkL2HNKHFXm3+9f//ogdbwuW64c/fa3v+V6jC1r1ialPu8oeE71/sL42Ud92rHU+G8aH4dj8Ln05xt/K5/qYyGqMZZh4QjjK2K4pje+6n8D4zSug37ro48+4muFhIanjte4Xr169fl6E5QgT+96xn2pXnDN7I7XeB/nN1f3AZ/pvffeo0qVKvPv/OmnhvEmv9Io6Ptw/WEjRqqJw6+5vmjRYlStWjW+L3hdvnxF3lHD9bC7hr4d9X9RorWqOq5EiZIsZnH+KDWWGH9H44J6EbBZELC+Vf3YrgVhGy6qxtW4cVOuR8FqJq6BIOwIqnvg4GFal5TMjQuzFTQi3NDDalY9d+58DpkyZ+48deNOvHVj8HrP3n00duw4mj17Dg/UiPmGvwMBiwcC2+vTZ8ygqdOmcWPWB2g0eizDw6xgtLrpCxYs4uPRQFevWUsDBgzkRodrQfwiScG27Tu4wenX27hp85vXU38fM0hcb9as2XRIfR/U4318r+Tk9TwYI6EA6rD6hGPx/Y6rz5L2ATIu+Fzde/Tkz4MVNqxo4/8iYNPHXAHbOTCIO74bqt3iXlaq7Mb1KNiuWazuLe5fkrpvELRov2gDuG94JtBucb0ZcfE0WrXbxUuWcVu/dPmne4P2gsFjhppMTZgwifYfUNdRzwL+hkHAruLrYfsMbQwdjt4ucC7+j3aDvz11KkxzDnAni3/xDGHFFtf66qt8/FmXLl3Gnfz8BQv4emif+vOrXy8peQONH2dI4LFVtXG0Jf0YvJ+QkMjXwmdBPULq4bnE6zM4Jk1/oBc8nxMnTeHP87vf/Z6mx83kPgGrIIMGD+UVBrw3Sz27pjpd3DMRsJYH7Q6/e2RklFbjmAQFBfH3mDNnrlYj6JgjYBGNAs8knk08hy1atuZ6lAjVRtB/oG/AOIv+LXn9Bh6/9YnnFSXoIKzQz6JfmD17Lh05evytZ/rS5au0V/VTuA5MiE6ePE1NmjbjvwMBi/EbuwMz4pAgaBqHeTMeX/H+4sVLecycr/4WNAfGxbXrkmjQoMH0pz8bVi99q1bjz7tl6zbWFPr1sPiU9npLVB+N682cOYsOqu9jPF7j76PviVfvoZ/D98ax+H7HNEGpf7e0BddZsjQhdeUVyY/w+z54+Ig2q/G6Tp061KdvP16Uwg7ZN998y8dVVmMOvteduyk0bdr01FXWgYOGcEi0ESNH8muskiOp1O07d1X/e5E8PDy5Pu+XX6mx6TB//rSfCfdDBGxWBKxvNW5YKLgR3SKiuB4FDwQaFmZ5uAn16jekv/3t7xyPEA0RD9Ko0WPps8+/oF/92jAjwXEFCxZSg/Ci1AaGmxEfP5MDnevXLlqsGGeVwf8hYNHA5s6bn/p+uGZCgHPnzltAX3/9jWogv+L38DdKlirFNjjt2rdPPce4YKt3mRrM9de6CQGuh4cXOel/qa6D97B6h882Xj3oF5WAwW/RtVs3fi9P3i/5wX3nnT/wazRSNMCDh0yvRKHg/G7dInk1ELaEUVHd+VwRsOljroDt1DmQbqpOAr81Oht9ewsFnQXaB/7v7uGl2tf3/P+e0b1YQOKZ6BkdQ//+8EP6hdbp/OY3v6WKapDQt8nRHnfu2s0z8V/+wnDMRx99zB3uz372cxawK1et5o71P2lMCNCGdu3eS94+vqntBuU///0vC1fjdmlcvNQzi+vpZhK6CQE+D+xtvX181LP3burxf/vb36h9h450Uj3PhsHpGtXWzHJKlizNpiv6jspvfv0bTu6BwTBtn4CCvzNs+Aj1Xf7Luwb4HDgOA96q1WtV5/4OX2eCErn4jqbOFwFreUar/hW/e7Rqu44MRAG+R5yaMApvYo6AdVdjD45Dv4cJPPox1KMEh4RynwVTOoxpGK//7//+oSakv+PJNsa/ceMn8u4VTK5wDsYzjL9YmDEer/H6iy/ypF67UOEi3Kfg/xCwMNszZUKAcxcuWqL6ru9Sx2v8W6x4cdq8ZauayASnnmNcBipRi/5Uf62bEPD11N/B9fRVT3w39JHQHugb8Vv07BnN72EcR2IILBzhNfpu9Ov79x/McLzu0LETH59XjfdYLINYjVOaBd8RfhVY5MNngdDVP8fEyVN4PMF1saAGU0jU16hZm4/Vd5gLFirEmgvH4W/Brhb1v/3t79Id73C+CNgsCNiSJUvxyiZu1OAhQ+m/apBFPQb0eUo46gIWdbhxLVq24h8dM72x48azmMTyeO8+fZXQnJc6S/vo449pszoXDxvsQHS7vspKpMxWs3A8bPp1TQnYrkrA3rl7lxISl9P77/8f17Vs1YbPLVK0GL8uW7a8EhxJNHTYcBbVqKvfoAF/jv0HDvD30q8HAXtbCfTlK1bx9ijqGjdpxn+zc2AX+vnPf6Ea/XtqBjiTZ0/dukWknvuNGtBh0tCxU+fUOnQ4aIzGv61e8Jvv2r1HPQinuZMRAZs55grYmqqTQGeCe9xDdV4Qc4bf+O88ey9ewjA5QilTphybkKAdoj1GRBruB8QaAu/Pmj2bfJTYRB3MEbASgHuETHaog3DF5AbHGj8f6HDxLBkLWLQJ2PmlPl+lSvMqPp4bvP7rX//KDoUYINApo+6bb7/lnYI1a9dy5/nJJz/ZwOLzYtZfvnwFrkPbnzp9Oo0cNZpt31DXrn1H/rw4tnYdg4BFJ1+uXHne7UBmF9RhIMFqCjrHtL8vCq6B3RNMTvEaHS7uRZMmhl2Zjz/+D08aTa1m4DgRsJZnzNhx/NvD+cOR6aHtSGEhQ3gTcwRskSLFaMHCRSxuMO4hUxPqMTbHx89SAnZX6liI571J0+Y8xkFgQThhQvunP/1JTYhieJzU+6V/ffABr2LiM2Cy/LkmXtHvzJozhxeUfv87wwqlLmDxGfAaBQL2thqv0Sf+85//4rqmzVpwP1dCaQy8xvb52nXruI/44x//yHW11IR7zry5SjDue2NiDwGLFUs4zer9XMNGAfxdoB3w3bA4MHnKNB6vsTihnwsbXaSN78Ji2bBz1LNnL5PjNX5fFEwMcJynVxW+F7pGgNAvWKiw0iEreKFk9BjD8wjhD2cvfay6eu0G+flV5/c+//zzN8wHPD29uG/F38Hx69Ylp672YmIKEZz2c4mAzaKATa8gndt5NVBBDOhCE40ZZgaYGWFZHt6xqEeqwMdPntL9Bw/VzbjJ+a9RjwaEVd0hQ4fzazQ42A2iweE6eqMxKWC7deMGrNvdsJmBEs24nm4X9s9//YtXzPbu3c8PJeoilVjEMWisEAr69WBPiOv5+zfm11iBxe9wg2d511QHUYnrseKG1xERkfwaDRUdRsq9+zwr080BmrdoYbLD0QsGf/z2+K3gqYhzRMCmj7kC1lTBZKqrmnhg+wtCFHWYXGEipc+g4aSk2ythpfbJ02e8VQQv+/9pwhG2SVhBxf3Ca+xKoO3cUgUTNdTpK7BpBSza9sRJk/k1nht0cjgXz+Knn33OW/ExvftyXfkKBlGKjk4XoLCfMhaw6DQnTjRcD53p0mUJXIfzsa2Feoh2DD74jrqA/YsSylu2becJ1KrVa1JXbmPTGSj1gjaLz2JooxfUd4/kwQK/7YCBg9MVvyJgrQNMXHDfgoJDtBrHpEmTJvw9lixdqtUIOuYI2PQKUo/iecWCky5gsTiFbJwYg7CjAiGGeuxe6eM1+hLdQax9h07cr2BlE6+xcov+Bn0annsf36pcb0rAdukSxONuM82ONJ8SkfibqFuqhOkvfvFLev///k/1mWt4fNMXHKAd9PF6ydJlqddDdCLUN29uuF6evHlV33hK9XE36Yo6FqYUqC+jdAy0RK9ehpVo9K9Y5MJ4jb+DJBqob+Tvb/L3TauH4GgN5yyMBRhr9J3lL/LkZRMyRG/Ca/SHmOjrYzk+vz4ZgC7ZvWcfj+F47evry5oCx+F4OHrpAjlQ/W6mhLUI2CwKWDR2DMAoMKzGDGTosBF05qzhR4QtiS5g8WPjYcBNwICpD/BYOvdRN8mrShXy9vamjz/+mOtLlCihGtxt6tjRsHKJ7Qw9jBTC9SA3POpNCVisgKLBFdcaAexNcKPxfbAihRVROJlBeGBrQhewmCniOHz2NwRsaChfr1ChQvy6YsWKqTMf/BsebjAZgMMK7IUghPEaDRoiHufuVwJK31ZBPnsM2ml/37RFBGzWMFfA4n5jNRTtFv9iuxwhZfDboi0VLmzorGHOgvNxn9AmsCKgt+cSJUvytnwV1WY9vbxYCKK+sRpsly1L5A4cr6dOncb3H2W0tiKWnoBFp4vJEl7jM8Le9fwFg/0qVovhzYqJ0LnzF6msNkMvXboMXwefO62AxYCC8Ct4DTvvffv383H4jZYvX6kmhYatfWw1376TkipgP//8C25H+Mywm9UHDNhmoy7t72tc8D7OraWtQOP3gtdtRu1dBKx1SEpez/cAaXodGd3uDwJLeBNzBCyed+PxGotA2DnFMXgGYbOp9wnt2rVPHa/xu+uOzrDhTB2vVf+n7yphbMTxwcGG/gu7RfBb0fsbLGqh3qSADQqia+pcfdWxbNmyqeM1dpUwEUM/hB0e7OL89a+G/giLXFeuGpxoly77ScB27NiJP4s+/pcuXTpV6GG87t5d9zF5j/tT3UTlj3/8EwtL7sPUOI7PinqYVsEUIG3/hdenzpylsuXK83F//vOfafyESal9HRZEUI+C3xkmYPg/FrZWqP4fx+E6+Gz64hh+T+zioV/Ha/zO+vVwLzaqe6R/f9i2ywpsGswRsFWq+LA5AAq2GTDQ4sfTf2xjARvVvQffKNwMNBJdNMLeBFsCevn3v//N0Q3c3N352DZt2/FxmJkcVeKTBax6KOrWy1jAYtZSuLBhJc3dw4MbNL4DPhtELD4zrgVRmBUBi7qvvvqKX1esVCn1egiOjy0G1EPQQ3To2/4QtMnqwcMDgfi4n3/xBdeLgLUs5gpYeGVjdQFtFgW/qd5u0SZ0AYtdA3S2qIdHKiY+WFHEexCEeptF+8GA8C/VRlu1as1tEWYCOA4mALj/KPoWUkYCFiYpeI3O8OAhw4QNfx8d+clTZ+jseUMbzoqAxfUwwOH1e+pzwpZLH1DWrFmX2u6xnYhjdQELWzBMFvGZIYL0DjMjAYvPiffwfb/8Kh8fDyEMuzk8U/iN02vv+DwiYC3PjRs3eMcAbeTVq9darWPx6PFjjmCB5ww21cKbmCNgK1d25/7OeLzGeTgO/QIWc3QBGxbeNfW5xSIMBCnqMV6j39D7vg8++IDH6woVKnKf2rlzIB+HCb3u/IVr+GcmYJUQw6ovXpcvXz5VmOGzGY/XcLDOioC9qs5HH4jXaP/69fCd+mq7T7/93e9o5+49HDsbr/F94NiN3wTjKBxkUZ+RgMV3861qWF3Gyq6x/kEMWN38EaYLWIDA6iteT58Rz59FPxYRCVAPPwm8rl7DEHmjWLHiRvfqOi+ioB5jyMxZpp1iUScCNgsC1tvbl39YlLTH4iYYC1iEqMINw4OyZ+/+1Bsb26+faoCGgL1opEOGDmOj6MTlK/n4Hpo4hBjcsnU7XVE3B8v+cFpBfXomBFi9rabZlaBxGBqAQUhiFgn7QmxJYEkeMy8cB8cziEYcl9aEANsl1avXNFyvWDH+fig4vlat2lxfoMD3/DtERBpMCLIrYHE8rovtaX17A7a8sC/Cqhrew/dJe54I2KwJWGx3YYKD39/4HuD/+F11AQuRqNfjXq9Wou+PmuiDUEO7w1YX2i5iEmIChBkyjtPF4eAhw/h+Xb95k/r1H8B1GZkQDFIzdbzGQILnB20B215oMwjLAi9VfEeErcNxWLXAZ8TnM2VCoJvgwG5qvWanhs+DlQJD/TvcseLY7ApYRCdAu2upxLu+BYkBDau8sOnFyu/effv585lq8yJgrcMPP/7IzwXuPfoGU+xRfQq8/Dt37sxRKMwlcflyCgwM5IJrmcPRY8dU3xrC5yL4vClOnjrFz4ufXw2tRjDGLAHr5pHax6V9DiE+jQVsaGhY6niN3UNMRlEPe9GfxuvzNGLEKGrfvgMtS1jO/ZRumoQJvt7fQFDpY3F6JgTo+3S/AUxYcAzOw0rodwUKUPHiJVX7XE47d+1JFdMh6jOiL8NxiMKiXw8mBDDZqlvXYL+P62Eni8frm7dSIxjBuRu/DyIm4bW5AhYFv9GAgYP4ODhx7dy5m/tSfB8ITN1eFboG/Z/+O2LXDzvJWDiAkxx2a1GPz4Ixvv+Agfwa92P2nHl8HP5WM80sAk69WOE2pQNEwGZ1Bdbbh48xdWPRWEwJWLyHAattO0MEgKJFi/N2Ph6ImbPnpNp3YCCHXR4G13e1MFchIWEsGOAs9QfNU9CkgFVCAvZ7sEfEawzSGLDx2YODQ7gON3ePGlQhCmHriDq/6jV4todGscBIwMKJC9eD3SPsZBAqaPSYsbwihkaK6Ao4DlulaLi6E5e5AhavIeKHDh/OW7/I2FROzUZxDoQBbGeRvQRCCQ9y2sYrAjZrAhaOS7B1TXscfv/0BKx+r3RbLh/fanwP0CnBAx8d1W9UW0fUC8yY9Rl1uXLlWbxhGw4THNSl58SFzhjHIcIB6mAXBTMXhHPRJ1kwdbh+4xabxeA17LRgkoNrpRWwWHWA3S4cqFDXtFlzXhXZvmNXqq05HCPxefFsZlfAosMM0rYOUX7+s5/zYIDnCgMZCjpixMHFsWnPFwFrPfRtS4T7MwUcWfT7htV/cwns8pNnOJwdzcFYxKBPNIXudT1l6lStRjDGPAHrnlqf9tj0BCzewzPbqbNhZ8iQlCSZTqiJBcbcD/5tcJKK7TeAx2uIMT3MFexlMa7DrlTvv0wJWDhxYXxFW/35L37BmgHjK/o0jOU45sOPPqIdu3azLen77xvMD5HEBQ5P+D6wt9WvBycuXA99JSLFYAI0fPhI1g7on//xj3/wcViwwngNZyi8zo6AxXiBvhI6BMciCgu+DyIc6Q7kcLTF+I/fUxfLKH7Vq3NkBQhpvP5OjQ+YLKA/xPdE/FjUw3cG16xfv0GqIMZ1TI11KCJg0xWwyMR1Rg1+un2GN51Vx5i6sWkFbNeuEanL+LjOEdXwIBjxHjITQaDB+xlL7E2aNOPGhuNwnbbtDGYEKDgOg7Z+c2FDi+OMBSwEHh4mOJJhKwTX/IUSnvrDiW0PpG9DA8C5DbQwShCnsE9BwzZ+ICBgcT0IZXih44FAvf6ZcR5Wn2APg++oh9HCKhwedjRc2NrAEQf1mAHib6f3++qel+mVd9TfxedL24BFwKYjYNV9Q1xCpNTE74fJk6njcD9wD3QBC5Gn1+NfXAedqJ6JDm1bb1P4t2u3SD4WHQhiCurvwR4Wk5wSJUpxe0H7QUefVsDiPJRZqsOHZ69+XbTJX//6Nyww8LyhPWFypoezwTUxqUTM2tTg2UrA4jvienPV74JoCKhHB6g/k0WLFWdnLTxj6LTRUaMeYWbQkaIO5j76BE/PfGP8m6Hgb7TWTH0yKsPUIGLqfHxOEbDWAY4r/1H9JbY5f/xRqzRishKd+v3JloBVA7B+PjIwmgPiJ+vnmhKwP6oPjEkk+vtbt25rtYIxmQvYnzJxId41Vk3Tjjso6ANgoqb3WRBWxuM1Fnb0FVL0O/rYh74J9w5OUjgOu6O6GQEKjkPElgIFtLjVWiYuxNrWj4E44/FVfYZI1cfg+hhT9c+CRS1MZNBPoA+GPkD9z39u6PuwEov+VL8eBCyuh++EUGF6f4fPgs+L6AKIsACNge+oh9GCecSqVWu4f4UoxYoq6rHDimuZ+t1Q8LlWrl7DsVn1z6AXXAOhvHAMn68KTNjwuY2PQ9hMfAccp18TySXSXhOfH+MX7mt6nwf9sQhYEwIWr/HDQYx6eXlRr169uc7UD4mGtmv3bg7kW1V1nggQr98c/X1cCyuYTZs2Y2NlGI4vWowg6gazBByHf7EqiZUCZK3AKiS2/mFbh88QqDpdHJOUnMzZL+AIhtk6biI+F96DJ6O/GiDxN0JDwzkovf5Z8D6MpmHIDY8/HIOVVjzM+vUmTZqcej08ZGho2Paooo5FB4K4tfq1cF047uC9RurBRmw91GErFUIc9YMHD+Hvr/8WejH8vud41onfDBlT0hZ8pgYNGvBKXdpriIA1LWBxX/D7t2nTVv3+XhxeCCsOaY9DwT3AKj3uE1bS076PjgzOBAjcjxmx3qYQ79S4k8P/MZuHUxcSZKD9wrSgZs2aSijWZtMVtP+WLVtyG4MdGM7BufgOW7ftoLCwruwghlBUWDnA/cb1UfBMYCcC18NKBFY7Dh9R37FtW74eBhG9feB623fuYhOGaqr91KxVi+1xsRqr/03821+9j+/dVl0DKxuoQ/v1Dwggb1WPpAz68cYFdfhN8fyYarMoaLeYdJk6H59PBKz1QJxM2Pvt27dfq/kJrLqhP6lXry6HhDMXJBeoV6+eehbqq2tt0WqzBj6Pv78/n49Qc2mBvSMmXINUfymYJjMBi34CPhkYK7GDotenPRZ9JLakcS8w9uiCUX8ffQmuhe3s5s1bcL+H/hRRfXA9nI/j9GtjvEdoKIztCD+J6+EzwD4V72PXCJkQ0VchWULq+Kr+ToLSII0bN+G/Aacw2ODqn0Xvy2Nj+6eO15jMoz9FP4PrIYGCbiKG/gbikvt07yrUrDlCgxlCeerjdVx8PPd7SAW7fftOroNghykC6tFvph1r0xacg2RN+Cx169alauo37DdgIO/yGv+O/DupzzVf/W4NGzbk37pP31jarX574+P0a+J8RK9BZsOAgMa8GIHz9d/bVBEBm46A1QseFsxwTD00xgXnY1sUxdTAhffxY2MWhGPwL25a2r+rH6cfg2vhOHwGfZsDN1T/W8YNAefitf43cHzaz4Jz8V2Mz8/sergO3jP1mRGMHp8N7+n1+BfnoB7fRT/WVDH+LOkVUw1YBKxpAYuC3//adcPvn94xetHvU3rtG7+93h5RcHzaNoCCdqa3OxyPTjDt/cP7xu1YLzg2ozaG/6f9DMZtzNT1jNsVzk3bhlCnn6v/LRyjf0ZTz7Be8Pn0a6dX0hsEcK4IWOvx4OFDQtzghg0baTWOQZ069dj+EZ9fME1GAlYveC+j/kwveOb1Z9VUH6n3OXqfZqpfMj5OPyYn47V+vv6+fq5xX4bjM7se/q5+Pbw2/sy4Pj4b3tP7RLyv96X4LvqxGZW0nwvnm+rz9M+U2XEoxv02Ph8+i/FnN1VwjAjYDASsFPssImDTF7BS7LfgnomAtS4wZUIkk1WrVms19g1ivsKxZcuWrVqNYIqsCFgprlVEwIqAdcgiAlYErCMWEbC5AzyhO3XqRK9evdJq7JMnT5+y6Q2EmZAxImClpC0iYEXAOmQRASsC1hGLCFhByB4iYKWkLa4tYBNXcHgsxE3DD4HBxZkL7F+Mi6ljHKWgE4PxefESJV1KwD7XBOyixUvYVsjUb+MMxRnaaNpyWRXcM2TqGSECVhDMAgIWMUMRe9TU8+UKxXj8drb+MTsFdrsJictddQV2JQug2XPns3f9vPkLnbbg+yGHMladV6xczWWZuvGIhIDQFwsXLaEFixazp+WChYs4uYGp69hLwfeZNj2OQ4y51grsS6pYsRLH4cW9M/XbOHpB+0M7Xb5iJbdNvDZ1nCOWheqeuXl40shRImAdBYS4unv3Lj169EirEWxBcyVgm7dopcaxBJPPlrMUjG3o8zAWI602+kD09YvV+K2P3RBtWMRwdt2SWcHvgmxjiAnucgIWYXOQcq5SpcocLN2Zi7u7B4fmKl+uPJUsXpwKFizIs5YPP/w3ff7555yxC+loSyhBX758RULcW6R6wwq1p1cVPt8Nxc3d5PVtUSDkfKv60cWLl7Q76vwgTWb7Dh2pbLlyJn8TRy94Fquotueh2trX+fJx20R6RLRD5DM3dY6jlXLlK/C2l2D/nD17hmKio8m9cmVauWKFVivYAoRIQ19g6plyxIKxFGOqu7snj7HePr6cPAZjbZkyZTm1KjJrffnlV/Tf//yH/v3Bv+nbb7+l4sWKUdmyZTncH441dW1XKuWUpkEYT0w0zcHhBSwU+8uXL12mPHv+nK5dvUpbN2+mxQsX0vjx4ykqMpKaNmnCD0OFChXIx9ubmjZuQt2jotT742iZGmgPHthP9+7dp8ePH9PLFy/faCg//PAjO0qgvHyJYvpvW7OY23AdHYhYU7+DsxS0pdu3btPkSZO4PVb19aVJ6v+3b9/me+0Mz+3r146Zr99VOHvmDPVSwrV8ubLUonlz2rRxo9wzG4Pf39SzZPdFGx+NVwjRj8Gf4cmTJ3Tr1i3avWsnLZg3n0aOGEFByERVty65qUlTZTWhr12zJnXs0J5GDB9Os2bOpPVJ69TE6iyfa/LvuWDJzrPp8AJWMDxIz589o4cPH9I59VCsXb2apk2dQv369aO2bdpQ3Vq1lbj1oipeXvxQBXbqRMOHDaMFC+bTpg0b6OL58/xwCoI1uH/vHsXHx1H1atWoqo8PjRk9im7dvKm9KwiWxSBce6YK182bNkn/JuQYiNfUxaNFi1iodlKitJ4aU708PcmnShVqWL8+dQkMpKFDh9LcObNp5/btdOfOHV44ev1a2qClEQHr5GBW8+jBA54hnjh+nJYsVA+emgV27dqVmjZuTNV8fcnTw4MzZ/g3akhdw8Jo4oQJvNW2e+dOunzxosutjgrWAZ34siVLuMOvXKkS9YuNpYuqfQmCJTh65AiFq/6rQvny1LljR9qzZ48IV8FsHj9+REcOH6b1yck0c+ZMNj9p0awZVa3qy0IVY2aAvz9FdOvGIhZ9GiZNd27fpieqj5PxMvcQAevCvHr5kmeHly9dov379lH8jBnUr28sdVSdf/169cjXG3aM7pxCr2WL5vwgz5o1kzZu2ECHDx1iUSwI5oLdguSkJGretClVVGKjm5pMHXchJz7Bshw5cphCQ0KoTKnS1LFDB9q3dx/98No8ZxDBtXitJjZYTd23Zy+tXbuWJowfT8FdulDDBg04vauXhwfVVONemzZtqGePHjR18mTavHkTT7ghVF88f65dSbAlImAFk0BkXLt2jU6fOsVbcBPHjaceUVGcC78GckJ7VeHZaN06dXjQ6B8bS0vVTHT37l105vRp3jYWhIzA7sDu3bu5/VSsUIE6YdVs1y4eXAQhI7DKhUl0SFAQlS1ThjpBuKpJuLlezIJzg12fM6dP0R7Vz2B8iu3Th9q3a0c1a9SgKl6eXOrUqU0dO3ag2L59af68edyuLl64wGOYtCf7RgSsYDaPHj6kC+fP06GDB2n16tU0bOgQHkj8/f3Jx7sK2wLBaQevw0PDaMSwYZSUtI6OHDlCl9QMFls0gqADMaJv/1aqWJGaNW3CK7RPnzzRjhAEAz+oSc+ObdupXdu2atJTniIjIujY0aMiNFwYOADduH6DTp44QVu3bKGpkydxu4Bjc3W/arya6uvjQ40aNaKQ4GAaPWokrVu3jo4ePUJXLl9iRyzBMREBK1gMCJG7d+7QKdWR7Ny5kw3dY3urGa8abGrXqsWzXR8vL579tm7dmqJ79qDJEyfS9m3b6MyZM6oTuk7Pnj7Vria4IpgYYZUE3rt1atemhGXLeMIkuDZYld+xfTu1atGSV1wReeXUyZPau4Kzg7EFCx9XLl+m48eP04rly2no4MEUHBTE2/5YNKkC+9SqVallixbUI6o7zZ45i8eW48eOUYoal8Q21fkQASvkClghuXnjBh08cIDWr19P8XFxFNktQjOOr8qOZPBQR5QEdEoD+/enObNm0wF1PDqtlLspPNMWXAOsqIwdM4a81YQHqycz4+PpXkqK9q7gKsAJCyKkdatWLFwRGvDMqVPau4Kzgft9L+UeXb1yhfbu2aNEaDxPaNu1a6cmtLVYpGKsqAPTtfbtWcQuT0ykHTu20/lz52Q11cUQASvYHNhCwuZo544dlJiQQOPGjqWwkGBqBIN6NbP2cHOjGn5+1KxpU4qMjKAxo0ZxbNuTJ09yXFFk15EtROfkwf37SrzGUY3qfuxQOG7cOAnB5QJAiKxds4aaNG7MESsG9O/Hnt6C44OVUPhYpNy9y05RSevW0Xj1XEdH9+TVU/T1EKlwpgpo1IidPCdPnkyrV61ipytkVBMEIAJWsFsgSp+pjg62TeuTkmnunDk0aNBANfNuxyYJnmo27uWpZuPq/x1UHcIyTZ86lQe+K2oGj7i46CgFxwcBv2GS0qB+fapYsQL179ePV1wE54KF6+rV5N+wIYfDGtC/P0dJERwPJMh58vgJ3bt3j3fekHhn1MiRbOsOYYooN+5ubuzt30oJV/Tfs2fPonVr17LzMNqCLEwIGSECVnA40KkhjAlWXuFIlpiwTM3QJ1F0TzWDb96c/KpVJQ81g0cGqEb1G1BYaCh3nMiSsm3LFrp+7Ro9V+eLt7vj8VINahjgWrVsSeXLlqUe3aM4ZqPYtzk2uK9rNOGKiBQDByjhelmEqyOAHTT0p9j237xxI82eNYuGDBnCsXhr16jJCw1YUa1Xpw4FBQZy7NR5c+exaQhCMXJfrK4hCOYiAlZwKmBD9VgJW5gW7Nq5k+bOns1ZxxAnEoMjZv1wEPKrVo3tbxHjb/r06ewUgFi42NaSWb/9o9tGYkAsp4Rsl8AufL/l3jkWiDSxcOECqle3DmcKhN0zJpiC/YFn6+nTp+wUtWrlSoqLm0G9evbkfrRaVV9eTeUg/40aUWRkJN/LpYsXcwKd+/fv87ky0RQsiQhYwSVAxwlzBAhUmBcgywqCU/ft25dD8tRFlARPT165rV2rJrVr04a3LxcsWMDpdtFpYxtbsC8wqB46dIiiIiI4dShWZjesX88reoL9AuG6SAnX6tX9WPjABhKTTsE+QESY3bt28cQePgmhwcHUoF598lKTDMT/ruFXjdq2bUMxMTE0RfWj65OSeAX23r0Uev5MgvwLuYMIWMHlgbiFvSxWfs6ePUuJy5bRqBEjOJZgkyZN2KkAnTYcyho1bEBBnTvTmNGjeRUCnTxsMUUw2Zof6fTpU9Qvti/HkoWtbELCMg5kLtgPCIW0cMF8dspj4arEETIbCbkP0p7C1nTb1q20ZMkSjvzSplUrDnPo6e7Ooanq1qlNgYGd2aRjzuxZPFlEBisE+ZfVVMHWiIAVhAzACh97y164wJ03HMn6x/ajQCVikW4Xob/0+IPYSkNosKlTptDmzZvZPhedveRjz12wEjR61CgWSNXV5GPWzJmUIiG4bAp+/+nTpvFzgoIweuJNbn0gMm/fukVHjxzlPmnatKmcURHRHXx9fbnvQh/WOCCAnatGjhjOSUQQYxcTekkmItgzImAFIZtwBpgbhgww27dv5wEag0Pr1q043S4GB98qVahWrVrUsUN76tu7N82bO4dTXmKAQNIHcV6wHhBIs5V4RVY43AuEXxP7ytwFkz9M6AzZkHw5uPyDBw+0dwVLAaF5+dJlnmTDGW740KFsH96gQQO2+0f7x8oqwlTB2TVu+nTePcIKLATuj2I7LjggImAFwQo8efKYV20RPiYpKYnGjR1D4aGhFIB0uz7ePKBjJQrpDZG4YdiQoRyQ+9ixo5xuF/FPxSHJMjxUgilh6VKqW6cOuVeuTAP69aOzZyWmqDWBcIVtJNo5Vviwc4GoIUL2QRpd/K7nz5/nSTB2FjApbtumDdWqWZOFKkyd0M4RAWDwwAG0YsVy2rd3L507e5Z9AATBmRABKwi5DFKjYgUWXvQJCQlqoBlInTp0oLp167InNq+WIDZiq5bUo3t3mjBuLG3csIHOnTvHK74GZzKxPzMXpCneuH49NWvWjMqXK0cR3brR0aNHZfXJgmCFG1E/EDYJQgp2yCJczQNCE8k68LwnrVurnv/xqq1GUHPVbv3UpBeTAgT591eT3/DQMN75SU5O5skynK/ENlVwFUTACoIdge1V2M4iOw3iKfbuFUMtmzVnpxeIAjhWNKxfn21w4VgBW8KtiG2rBi6kWpVUipkDs41dO3ZQp44dWch2CQyknTt3iq1yDrh+9RoNGzqUKlesyMIV3uvSFtMHuysQ9oiDevTIEVq4YAH/fqGhIZzbXw/yDxvu1i1bUkyvaI6IgggbiIiC2KmC4OqIgBUEOwcrKhjwsCqDdLsJy5bRxAkTqFt4OMdcRMIGpFn1861KzZo04egJcGJavHARHdi/j21B4Y0viRve5tjRo7wSi6xPLZo354nDi5cvtXeFzICT4rAhQ+j/2zsL8CiS7W8vsgKLLe7uwT1YcIfF3WFZ3HdxDbL4YsHdYXF392AJTnCXdbv37nf/56vfmelhyJ1kIYvMDL/3ec5Dprq6uro7PHmn+lR1uTJlpEH9+iquyA0nNnAtfv31F/2CiUX+Fy9cKKNGjZKOHTpI/br19DXZWJoKi/x379JFpk41/2/XrJGjhw/rtcWXLY6oEuIaCiwhHgxGDTEag7xZvG53+bJlMmHCBM2Bwx9FjNpWrFhB6tSqJW3bfKmva5w/f75O9MDkM4gtRsre9z+St27elG9GjNCXXODR7Pp1a+WPPzgDOyywdNywYf5S1ogrVt/A79P7OuKK/zs4dyzUj9SgbVu3yOzZs2XokCHSukVLfexfzojq59WqSsvmzWVA/34yx2zfvHGjPvZHvvx//v0fiiohrwgFlhAvBHmd+IOKlATMNMYfS/zRHDZsmI401q1dW0dtK1euLI0aNFDhnTp1qq7RefDAARVijB69bxPJHj96JFMnT9Z1MLH+75LFi5nD6QQmEOF3CG8/a9Wyhezft1f+31/vx0oaEEyMiGLdWjwJ2bBhvb5tqhfe8teokU6gwhdG/N/CCzVGjx5ty0/dtUvu37+vbwjketGEvD4osIS8Z2DU9peff9HlczACtGrFCp14g3UgmzVpqqkI5Y3AYfkpjBj169NHR223btkigSdPGsl7aG/Je8Fs74ULFujoGSbWTQ+YZq7X+7vgPiYUDfP3l5IQ1xYQ131enTOMEdXrISH62H/NmjUydswYfTtf7Vo1X8hF79mzp4wfN05WLl8uZ06d0reJYZIm03UIefNQYAkhDv79r3/Js2dP5e69u7pKAtaLHDliuD1nr65OLsHILZbtafvll7qMz3erVsk+IzTIJ/3xxx/tLXkHSLFATiLOvVzZMjJm9Gi5ZWTufSE4OEj69O6lbzfr3KmT/k785UU5rliLOTgoSF8tjS8s/fv2ldYtW+osf4yo1jRfYLDoP/LKA6ZMlS2bN+ko9OPHj/lqaULeMRRYQshLgVdPYpmkq1ev6mPR6QEB+ge/lfmDj5HKKlgCDBNS6tfXCSkTxo3TUVssmI7RLE9+rSuW4Nq5fbu0atVSSpcqZYSmrwq7V+YtmnOCuH7Vs4cUL1ZMV2vAWqKeeq7/+vNPXZP5zOnT+vrnyRMn6iL/+D2tUtm2bB1ePNKubVtd5H/BvHn6YhLkRSNdgKtTEOKeUGAJIf8IiA1GXjGx59y5c7pKwvixY3WpryaNGzveBIQXN2A0q2+fPiq/hw4elPPBwXLv7l2PWWQdOcHHjNxgNLJ0yZIqd6eM3HnDG9VwH4ODzkmP7t2lWLGiem6QPk8QV/0d/OEHuXbtqt4PvPFu2NCh+m5/x1vxzO9h3bp1ze9lF33v/7q1ayXI/P7dMnLLt4MR4nlQYAkhbwwIH3JtL1+6JMeOHdVVEob7D9P0A6QhYNQWo2D1jFjgjULD/f1l4fz5KokYtcU6mf/+t3uueRls5KdP7966BBceOyMv1BPX58QII9bF7dC+nW10uW8//WLhjuL6559/OJ4C7N27V6ZNnapPAZo1ayY1qn+uolqlcmV9t3+fXr1k5owZctD+RQn7cTSVEO+BAksIeSdAbrHWJUb59u3bq6skYMIYRmkxgaxShYpS3fyLZa169uyho7qrV63S973fu3dXR9zcYbIMXtM5YvhwXcTfWgv1VVYuwOjz61rtAbPcke7wMkDmMJseXyaQKoA8TywD9a6BOGMiFGbuXzJffNavXSvjzL3v3r27NGrYUKoZQcUqETVr1jR9b6N52CtXrND8XHxRwquDCSHeDwWWEOJ2QK5uhITogu6bNm6USZMmSrcuXaRhg/q69BdmgmOZqzZtvpBBgwbJjGnTZPOmTXLdyCRmgmPJorc9gggZD5g6VSf/VP+8mr5J7WUmtc2aMVM2rl9v//TPmDl9urYXHpB+yB7EFcthDezf34jrVfvWtwdkG19CsMg/3iaHJadGjhgh7du3k3p16+jofAVznxs1bKD3fvKkSbLZfDmAdN+9c8feCiHkfYUCSwjxGCClGLHEI+HdO3dqSgKkp0O79lK7Vi0VHohPvTp1pWvXrjJ61ChNSdi/d6/cv3dPcx3f9GP+H4yU4RW/EGyINh5jQ9IsMNpqjbji7Wp4eQJGbzHR6J+A2fRFChfRY0LiLXAsXDcsDYUXDmDSHd6chWuD0eM3iXW/fv7pJ12PGJP6INmDBw/WFyBg8h9WtahmX+R/4ID+sshcO0y2wiuVfzL7ve0vIoQQz4ACSwjxeP7vv/+nL17AiCfWql2/bp3MnjVLH4tj3VJMIMPatpqS0Lix5q4GBAToEmAnjx/X2eYQrb9e42QsawkurBeKZaiwluidO3d0pBZv/cJas0uMrOXInl2ym8DkqYjmaCJtoLURQrSDmGPOHWAkOmDKFJk7e7a0aNZc83WxFBgmzr1O/muuG66f7fqfMNd1pY5G9+zRXc8f66bi3f5Y5L9j+/Yy6ptv9MvHnt27dbY/5NobJsIRQt4eFFhCiFcDsdUlwB4+lCOHDsnypUtl4sRvdTZ64wYNdHY6XvWJEVy8pWz4sGGyaOFC2bJps470Ip/1n+TaWiOfGHGEyHbt0kXy5cuns+OrVa0quXLlkjx580qOHDlk2ZIl9r1eDazqkD1bNslr2kF7aBcvqehgZNEna1ZNFYBAYxT6nwBRxTqwN25c17VTIaEYyYWU1qldSyUVstqofgP5qmdPmTRxony3cpWcOHFCnj17Jn/8/ru2QQgh/xQKLCHkvcR63S7yMG/duik7d+yQObNm6xun2rZpI3WM0CKfFWkJ9evVlS6dOukby9asXq0rDoRcvapy/LJo7unhw/oIH5JpBaTTEk+I5sUL5+17vBxYo7Wwr6/kzp3b0RaiWNGiktNIcTYjtkhjeFV++vFHfYwP+V5ohB6P91s0a6YT7JD2ULN6dWnVorkMGDDAloO8caOEhITo9fzj9z+ED/4JIW8SCiwhhIQCo4TIl3306KFcvnxJ1q1dIxMnfCt9+vSRli1aaO4mZsLjjU3NmjTR9+FPNxK3fds2CTxxUu7dvRPmI/FFCxbqY35n2bQC5RBcjFS+DBhZbta0qcv2LKHFNqQsuAL5sXfv3NaJUdu2bbWNTHfpKlhNAbm0yCeGyOsSZ8OGyfy5c3UC2L179zQFgu/2J4S8KyiwhBDyCuAROl5BilHbU4GBmpIwYthw6dKlixG/elK1chUVvxrVq8uXbb6QwQMHysKFC+TQoUM6kalf796aLhBaOK3AiOmUKVPsRwufaQEB4uPj47IdKyCwGFG+dfOWvmFqzZrVKqNYggppDBhl1sf+DRvqyyfGjx0na02dC+fPa64sl6UihLgjFFhCCHlNYNQVqxDcvn1bX6GLSVrDh/nrm7sgiLVr1tI1VyGWyIN1FXny5BFfX18dFQ2Ps2fOSJHChbW+q3aswLEKm3p1atWW+vXqSdu2bcV/yBB9ZeqJ48dNX2/pY3/O9ieEeBIUWEI8lJ9/+UVmzpoj34waLaNGj2G4QYwZO1bGjpsg4yd8KxO+nWiPSfLtxMkyaNAQadPmSx19TZM6jaRLmy7MSJUylRQrUjTMezt6zFgpXaq0qZfS5f7OkTZNWsmUMZM0adJU+vbtb+/bJHtM1M/o8+gx41wei/HuAvf/yNHwv8gQ8r5CgSXEQ7l167b4+GSXho0ay5dt20mbL9sy3Djatmsv7Tt0ko6dOr9UtOvQ0WU7VrRr38HlfmFF+46dpK3Zx1VbDPeL9ub+58iZSwYMGGj/H08IcYYCS4iHcuPmLSlW3E8CT5+RBw8fyd179xkMhpfE02ffS8+vvpZ+/QbY/8cTQpyhwBLioUBgixYrLkePHZdbt+/I9Rs3GQyGl8T9Bw+la7fu0q8/BZYQV1BgCfFQKLAMhvcGBZaQ8KHAEuKhUGAZDO8NCiwh4UOBJcRDocAyGN4bFFhCwocCS4iHQoFlMLw3KLCEhA8FlhAPhQLLYHhvUGAJCR8KLCEeCgWWwfDeoMASEj4UWEI8FAosg+G9QYElJHwosIR4KBRYBsN7gwJLSPhQYAnxUCiwDIb3BgWWkPChwBLioVBgGQzvDQosIeFDgSXEQ6HAMhjeGxRYQsKHAkuIh+JOAnv33n15+Oixxr37D1zWeV/jzt17jmsDKQm93fna4Z6iDPUePnZd3zlu37nr2Nc5sN/b+p3A/X70+ImeR8j1Gy/06VX7gPO3roFz4HxwjL+7Ht4UOFcKLCFhQ4ElxENxF4HFsZcsXWb+0PbXmL9woUqMq7rvW+DarNuwQa9L/wEDJGDaNLl56/YL25evWKnbBw8ZImfPBen2SZMnS99+/WT8hAkvtOcc2Hfz1m3a7qDBgx0xYOBAmRIQIEfM7wXk2ZUQvo5Au1evhcjUgGnSp29fWbR4iR5v67btjvM9dPjIS/9uoj0IMNrEv1b5tZDrMuHbb/V6TJw06YXr581BgSUkfCiwhHgo7iCwN1Virkux4n7ywQcfaOQvUFAuX73mcaKBa3jr9t3XJnxoB23WrlPXcW3SpUsvZ4yk3rJfG4xeNm/RQrdFihRJ9uzdJ7eM/GfLlk3L0qdPH2Z/sO+AQYMdbTtH1KhRJc5nn0nPr742Mmjri6s2/kng/l64eEny5M2rx8R5PnryVPz9hzn6sXDR4pcakUdbwecvSIkSJSVp0qT6hQgjuuj35StXJUOGDNqej4/Pe/PliAJLSPhQYAnxUPDH/V0LLGRi567dEj16dIe0QJ7Wb9yko3Gog38hMRAS530hLSi36lmBc0E5IvR5WftYcnPn7t3/addWbjsm4vYd19cGbWFf1MHj6QMHD0u5cuUlSZIksniJESh7v5zrod2XlUFI6snAU5IocWLHtUHMmTtf20Id/NuiRUsttwQW1zRbtuxa9ncCO2jIUK338ccfS3E/P6lQsaKUKFlK4saN5zjemLHj5MHDR1r/+XW75+K62e4n6iHC+p1yvj8XL12RfPnz63Hq1K2nx1m8eIlUqFBBKpq+bN227YX7++K1fC6iSDfYf+CgXoPIkSPL/AWL5Omz77U+RmTbtGkj5cuXl/bt27/Qr7+7N/hs9fXmrVta3/p86/b/fsFCn8Lb/jaDAktI+FBgCfFQ8Mf5XQss/sj6DxuuApM5c2aJGTOm/tyv3wDdhkfBq1evkbnz5svqNWsd+0EkAk+dlnnzF8gGI7s4F5wDJOTI0eM6crdg4SI5fOSYlqE+4vSZs7rP0mXL5crVECNIO2TFylVy1fyMNiAzKN+4abPWQzt4jA0xw/44tk1qHsq5oPOyfMUqI0sLjbAuFT+/khItWnTJX6CAfLd6rR4XIhN8/qKs+m61nsOWrdv0nJylLKzAvjNnzdHrkSZNGokfP4H+3PqLNg55RJ3XIbAJEyaSwNNnVPogg9NnzJQPP/pItxUzvyPWdVu2fIWOmG/esk1WrvpO5RBt2a7PHdm7b7/WwwjoqdNntZ/Ox8cxjxw9ZiR8nmzbvlMuXr4iBQoW0uPUqVtX6x8/cVLvCcJKicC+2Hbh4mVZs3adHmPnrj3muPf0Wm7eslUGDx6i7UBgu/fooX09FxSs++J+ItUC9az+oL2Ll2zt4d5gG9INrHuDeucvXHT8LgWdv6D3EueGwDXBeaMufvdu3Lyt54S2sP1k4GltK6zr/6aDAktI+FBgCfFQ8If1XQosjo8/+mXKlFXxGD5ipOTKnUd/LlTI18jEDZWMFi1baVncuHFVSNFXiNDXvXpreZeu3VS6zp4LlqbNmkv8BDbRQ0DMuvf4Si5duap/0DG6Z7XVvEUr+fTTTyVFipQqI2gTspInT175yC5viHhGHNHuJSNblggPM31NmSqVjhZb9RB169WXJ0+fqdign2PGjpd06TM46kWLFk0qVqpsRO+AQ35cBa4N5KdJ02a6X69efaRsuXL6c4YMGVWm0I/XJbAJEiY04hioI6CPnzyRXbv3SowYti8TuBez7CKdwFzbZs1byiefRJN06dKpIKKdg4cOS6XKVSRW7NiOvqROnUZGjRkr1/U+285n4qTJkix5Cq3z4YcfSbVq1c0Xlyz6GSOwj5FCMOzFFALcN/weTJs+QzJmzCRRokTRbTFixpL6DRrqFw4/vxKOfaxAvbVr1+uxQ6cQWO1lypTZ1LPdm48/+UQKFy5qvmRs176i3o6dO/Xeoa9dunbX+lb7Gc3PG4wYo3+HjZRXrlzVcf6IJEmSSo+eX6vkh3UP3mRQYAkJHwosIR4K/qi+S4GFIGB0M168eBLdiCQkoG279vrHHyOx23fs1Efza4yEYFQN5VOmBugfZoyUYaTzEyOEO3bukhDTXrny5bWOX4mSMmPmLBk7brykTZtWy776upfKEUZK8RmBtIVOnbvoyByuBUZyYxopwrYWrVqrPHXs1NkhTOPGT5DHRk4XLlriGJ1s3KSpjs5VqVJNP8ePH182bd6qQg0hR1nixElk5DffyOw586RCxUpaVrBgIc3ZtEYXQwfKIYfpjfyiPkY8h9pzQyFUGEGGhL0ugf3ss7g6krx9u21Eumo12/kgvmzb7oXrFiNGDOnWvYfWQzsnAk85jgcJxejogIGDTZuf6X0LCJim12PT5i2aV4t6EE/UQ32rXUtgh9lH5BG4B/hCMHPWbCPNn+gXC9zLyVOmSnK7CH/R5ksd2e7Wvbt+xjE7m/uK88GXGgiks8CiL0jDwP2HvHbp0lX7Ur1GTa2DPOMDBw/p7xl+tz788EMtx/n06t3H/B58q19qUFahQkW9BpB3fMaXn/kLFujkuUSJEptjfGp+Z6c5RnXfZlBgCQkfCiwhHsq7Flj8gZ0wYaL+4S9Vuow8ePjYyOBihzAOGTpMZePylWuSL38BLcNEH+wHuUXeZuHCRfRzwPSZuh0yjMfOv/72u/z+x58qJihPmiyZjrIuX7FCPyMwuon2IXI4f4hp9eo1pGHDhipSP//ym/apUKHCWv9zsw2fMbEJnxMlSqSPiX/97TfZZsTPkuxJk6dIUPAFSZkylX7+duIk+ePPf8kvv/4uly5dMVKdzl4+WY/t6tpATpFHi3rZsmfXiVRbzTE+/TSGlrXv0En3RSrD6xDYsAIjnhj1hkhaZUhhwBcL7I9+WtcD/UTZL7/+Jr/9/qf07ddfy5EigON16txVP6dImVJOmXuBdAUIJo6BclcCu3jJEnM+9/Q+43ONmrXM/X4k3//wo6k3QsuyZPXRSX/frV6jnyOb3x/cy2ff/2Du6225YrZZApvd9BEjwkWKFNXPVapWM+dgy2FGegBGjVHeoWMnLYPARo1qE9hWrb8w/XumUat2bS3DaPjhI0clVarU+rm8EVp8McG+GGVHSgHymMO6B28yKLCEhA8FlhAP5V0KLI4N0apUqbL+4W9uJAyCiVE6SCjKIC3Xb9zSP8T9Bw7SsmTJk8vZoGAZYP88YuQoFZX2HTrq509jxJC6RoQQ9es30BEyawQNI4bIRcXPiIlGLNG21SeMkmEGP6QFuaetv/hCateuo/KL+uXKVzB17sucOfNUsiGsyN9FLi4e8aNO5MhRZNnylbJx42ZNF0BZqVKlpEGDhlKvXn0jaXV1RBbl9erXf+H4zgExbNWqtdbDqC2OgfzSNPYRZTzKRj4oHvm/DoHFuSD1AhPGkE4AGW1nrilGyCGVc+fN03qI6dNnaL/RLlJAKla03cPEZt+GDRvptcf5Fi1aTMsxcooRzc8/r6Gf8+XLryPMkEukZWDVCZS7EtilS5fJOSO5SPPA565du8kD86UD+0MMp02fLrv27NW8Ykv4cQ8w2o3zQx+dBTZnzpx6LTHRDp8xUosvMbgeuOY17KOwOXLk1N+HnbsgsLYUA3//4Xq9ne9N6tSp5cTJUy+sooFriC9kHTt1knXrN+j/rbDuwZsMCiwh4UOBJcRDwR/VdyWwON6Jk4GOkSsIIUQTARFDGfIt9+8/aKThoew2YhYnju3xM9IDsFxS7NhxdOY/ll5q1ty2lBRkA8KE0VkEclyxrBIe/+JRPyYeoR6EbfacuSo5Vn8wuahy5Sq6P7ajL2jDGhGGwOKaQRAbNWqiZc6BuhAb1MEjfmvkzrk/iIRGEJGDC8lzJTeQMywvldueD2z1xfna4PH3unUb9PH66xBYTBDDvleN7F26dFn/haihf6iHiUmoh+uL0Vhss9q18k/RP+tc8ag/VqxYeu2TmS8AGKGuaE+f8PX11TZxnliFIFyBXWabLGVJf4+ePY1wPrGdgzn+1ZDr2kf0Z9FiW5pD+AKbS3/fY9tzVbt07aqjpWgPbSAlBOUZM2aUm6ZdrJBhCeyQof4qhahn5WVjlB0TvXDtqlb7XFNQrN8XBK4JcrRxrtZ1f1tBgSUkfCiwhHgo+OP+rgQWcjFztm1iEAQNo5WYGIR/IUCWAHwzaoyOekFWypSxTWKChKBe1arVdMQUf6iRc4lteDwP4cFj3AsXL+rIX4cOnWTylAAdsYRYol6kSJFlljk++oH+QPrq1mug2+LFiy8TJk7SR8N4rFykaHEth8Dicfa0aTNUjDGSiCWmMOO9b//+mtZgydSOnbsldpw4uh/SGCBRwefPa7+wzmn//gN1opQrscHI31ojp5Y4OV8bCCLKEMhDxWP41zKJK0FCOXTkmO6L+s77oJ4lsMgZxReBu/dtqyDg+jdqbJM+iCzOMyg4WC5dvqwz/9u1a69LWqHckn4fn2zmc4i5TvdU1PEZ5a4EdsmSpVo3W7Yc+hkj9bjf6NP2Hbs0/aBW7Xpy+uw5WbrUdm8hkLjmqBdaYLPnyKGjvhhhtdrDCCyWLMO9y5cvn5bb0kUe2VMIwhfYM+bYuG44DtItsAIBRnatCV/JkiWXY8dPvvX/YxRYQsKHAkuIh/IuBRYS0KBhI/0Dj5n7p86ckRMnTxr5PKOP+mPFso2QIQUAyzPhj/F4e76sFVjqCSIDedizd7+O2EJeMPMfk7wgR19+2VbrZstuE5dlLgTWEra8dnnBv5ARlM2YNUfbRTnyGyGwjZvYVgbIkiWrDB8+wkj2aBlm/p01e67sP3BIX85wwwgR8itRr2at2pqXi3VSMeqLUTqMzGHEENch9LVBXivkFPtiTdbj5rqcDAyUU6dP67qoSZPaUhpsj+LvSEu7TP1TgT14+KjL34PwBBayvdgIG0abMUKOx/g4Hh7TWyOulatU0z4hFxifIeJI0cCxMNEOZQhXArvIPomrfYcO+hk5qhBX3J+GjRprGXKUkcpg5cAikH+LMvTRWWAhyxDWzl1s+bhYSQKT7tDnyVMD5CPz5ckSYNT7O4HFJEFMMoS8Z83qo32wXmZh9Q9pH0h7edujsBRYQsKHAkuIh4I/su9CYHEsCE6aNLZ8TsiMjoKZcogO8l6tSVtYBmvf/oMqUUePn3A8Ss6YMbOOfFn9hkhBSCFREDmkDFiPifEYG68pxaNiTApC2QcfRHIIsLU/8mmtR/TYF4/5MQEpb16b2JYqXVZuGzmBwGF2ua2d54GRZMgppBk5mcdMf601TrGqAnJ7IUd4vN7JCBTqhJZL22P1yyqn2G+o/3DtN84Tgf5iGS5swygwlnz6ok0b/WwJ7Ku8iWvgINvaqch/PXjI9WtbVWDn2nJgcY6QO+u6IbDP4CH+KuWQPZwnVipAfYj0diOBuL6YjIfcUJRDeFEPS2ilSm1LI3G8iSvUMlr43cCXkeo1bDm0GIW20kmwSsPGTVu0P5g4Z1039AX3D78TuKbPBdZHBRSpC8hHRhmWz3K+N/36D9RzQp+tZbRQb+CgwXL/oU1gmzWzpawgBQbLjyH1ANcGgo+24ujoeyRN9cCKCWjL+Zq+jaDAEhI+FFhCPJR3JbCQVDxux1ur6hhpCTx15oXRKfyxnzR5qpQqVVrKli2nLzBAGUbUMLKGhfX7DzCSobL7vF3Uwczvvv0GSJkyZaRsubJGhkZobismX2H71q3bdN1ZjA6uX79By7CvJXmYvY6JW35+xaV3n75y+sw5najlV9xPl9Q6fjJQZ7BjGa2Jk6cYuT6gC+FPDZiuaQEYXYTYzJg5W8UT67UifQGrG/j5+elkM+Su4nq7GpFDOfqL9IgqVarq26Wc7w36C6nDOZQ2MrjQyPT4Cd9KyZKl9Jwgzajfps2XmifcvHmLMAUWbc2dt0D3rVu3/v/cB+d6WGIM9wOT7jZv3mr/omHbjvbxGSOZWJasRMkSUqVqVV1l4ezZIMc1Rr+QQgEpL1GihLQxor97zz7p06ef3lNrhHPBgoVSyvQJ54eXC2D/22ZfjKTiyw7Os3Tp0tKnbz/9UuPc/qHDR3XZr9Kmr6iDJdJwTkizwPX44os2Wg+BUXqsetGocWPxM/3BFw+kbmAbzgn/Io0EedH4PYS4Q15xrqPHjNX2Gjduql84UBcTBLGkV8mSJc39KS2DBg+VXbt3O/r3toMCS0j4UGAJ8VDelcAicGzkGCLCkiaMvCGct2OkDWLoPALoHJAL/OG29kU953PDz9a20OeMPkFQ0CdsRzuogzIcE4+3N2B1gejRdfRz5arVWo48VCzrdOzYCV1aCwKLtUJxbPQd/zq3iXPDsZyP7RzWtUH9my5eR4pzdD4H52tltavX4LHteKH3dw6rLRwvvD6Fd90Q2Bf9CH3tQ99bfLbqYHIejo96uI64zhiVDn1+zsdAXWsb2rkV6jW/2Ne6dgjrNcCoi2M4Xw+053y/8W/oe4P+Pm/rubSjHtqzrpt1/s7HxrGcX3f7tgPHp8ASEjYUWEI8FPzRfVcC64kBmQkKPq95qZBUvKnKJ1s2yZ07t+TKlUsXrke5b+EimiLBa8p4l0GBJSR8KLCEeCgU2FcPSOy5oPMydtwEqd+gkaRJk0bwStXUqVJJpcqVdVISFud3Hq1jMN5FUGAJCR8KLCEeCgU2YgGJxaNsKx/SCjxCdvXYnMF4F0GBJSR8KLCEeCgUWAbDe4MCS0j4UGAJ8VAosAyG9wYFlpDwocAS4qFQYBkM7w0KLCHhQ4ElxEOhwDIY3hsUWELChwJLiIdCgWUwvDcosISEDwWWEA+FAstgeG9QYAkJHwosIR4KBZbB8N6gwBISPhRYQjwUCiyD4b1BgSUkfCiwhHgoFFgGw3uDAktI+FBgCfFQKLAMhvcGBZaQ8KHAEuKhWAJ77PgJfRUqPjMYDO+IBw8fSbduPSiwhIQBBZYQDwV/5IoV95OTgaf0Hf7O7/VneGdgpN1VOcP74vGTp9Kj51cUWELCgAJLiIcCmcmS1UeqfV5dGjZqLA0aNmJ4ceAed+3aXVq2ai31GzR0WYfhPdG4SVPJlDmLDBg4yP4/nhDiDAWWEA/ll19/leUrVsq06TNk+oyZDC+OGTNnyZQpU8WveHHp07uPzJo9x2U9hvfF6TNn7P/jCSHOUGAJIcQD+POPP6R2rVpy6MABewkhhLy/UGAJIcQDUIGtWVP279trLyGEkPcXCiwhhHgAFFhCCHkOBZYQQjwACiwhhDyHAksIIR4ABZYQQp5DgSWEEA+AAksIIc+hwBJCiAdAgSWEkOdQYAkhxAOgwBJCyHMosIQQ4gFQYAkh5DkUWEII8QAosIQQ8hwKLCGEeAAUWEIIeQ4FlhBCPAAKLCGEPIcCSwghHgAFlhBCnkOBJYQQD0AFtlYtObB/v72EEELeXyiwhBDiZvz3v/+V27dvSUhIiFy/fl1u3LghFy9elM+rVpWVy5fLnTt3tByBOr///rt9T0IIeT+gwBJCiBsyzH+o5M2TRwr7+joif7584luokONzwQIFpFqVKvLwwQP7XoQQ8n5AgSWEEDfk5vUbUqpkScmZM6fkMSKLyJs3r+NnhI+Pj8yZPdu+ByGEvD9QYAkhxE2ZMX26ZM+eXcU1dOTIkUPq16snv/z8s702IYS8P1BgCSHETfn5p5+kZs0aOgrrLK+2EdjcsmP7dntNQgh5v6DAEkKIG7N921bJnTu3SqslsBiV7dyxo/z113/stQgh5P2CAksIIW7MX3/9JR07dHCkEkBmC/sWlnNnz9prEELI+wcFlhBC3JzTpwLF19dX5TVbtmwydswY+xZCCHk/ocASQogH8M3IkZI1a1apXKmSPHn82F5KCCHvJxRYQkiE+f2PP+TBw0dy7/4DxhuMR4+fyKlTp6VkiRIyYfx4efL0mct6jNcb9038+NNP9t92Qog7QYElhESY1WvWiU+27FKsuB/jDYdfiZKSN28+++cSL2xjvP4o7ldCsufIKf36D7D/thNC3AkKLCEkwsyaPVeqVqsuh44ckwMHDzPecBw6fFQOHHK9jfF649jxk/LV172lVavW9t92Qog7QYElhEQYCGyDho3l7r37cvvOXbl1+w6D4RXx8NFjGTlqNAWWEDeFAksIiTCzjcDWb9BQ/+DfuHlLrt+4yWB4RSAHdsTIbyiwhLgpFFhCSIShwDK8NSiwhLg3FFhCSIShwDK8NSiwhLg3FFhCSIR50wKLNu8/eKhLdbkK5N66gzjj/K0+3bl7z2WddxV/dw2twDm42v99DQosIe4NBZYQEmHepMCivXNB52XS5MkyZuxYGTtu3AsxavRoWbpsuQQFn3+nIotzP3josPYHsWnzFrl567bLum87cE0uXb4i02fMkNFjxvzPNbQC2/btP2D67f4Si8mCuL5v+n5TYAlxbyiwhJAI8yYFFqKyc9deiRPnM/nggw9cRvTo0SV58hQqGm9DalwFRCdg2nRHnzp07Ow2o7C4LycDT0uqVKlfuG6uYuy4CXourtpxh8C9vXL1mvTp219SpEgpjRo1lpDrN97YPafAEuLeUGAJIRHmTQvs7j375LPPwhZYK6JEiSKTpwS8EwHDMadNfy6wHTt3MQJ732Xdtx24L4Gnzkjq1GleuF6uwt0FFl9QzgWfl6w+PtpfvNjhWsh1Ciwh7ykUWEJIhHmbApssWXKZPWeOLFu+XGPS5CmSL19+h4AVK1ZcQq7bRuqwP0ZBISHOeZ747Dw6irpWfijKcR7O+aKuRlKxD1IWrDp4reu06TMc/QgtsDgP536gfVcpD9ZxURey5rwP6qPOy/TPOUILbMyYsWT8hG9l+YoVsmTpUkcsXrJEjp84qcfFfmjX+Tihr5tVB9tQD8ex+oufrTrWeVht4V/r/JzbQri6TjiGdZ2wLuuFi5ckfYYMei6ly5R1tB26rdcRaJsCS4j7QoElhESYtymwGTJmkkuXr6rcQC6ePvteVn63Rj788EPdniNnLjl/4ZL2BcK3c9ceGfHNKKlStaqUKFnSCE8ZGThosOzavVfbRr2TgaekRs1aUrhIYRk3foKcCwqWXr37iF+JElK7Th1Zueo7uRlKyDDqF2CEtWy5cvJ59RpGBlfKjJmztA8IS2At0d1/4KAMGeov5cqXl+J+ftKtew9Zt2Gj9gF1EJevXJWatWpJkaJFpV37DprXO9R/mBQrXlxq1aoty1eu0raOHT8uvfv0lRIlSmq/l69Y9YIwhg5scxbYePHiybETgfL9Dz/K4ydPNR49fqISiHNDX9CvDRs3S7cePaRkqVJSpmxZGTxkqOzZu98h0vh3zNhx2t8aNWsa+Q2U4cNHqlSuW287N8TFS1dk5qzZ5nekgZ5L3Xr1ZfqMmab8sm63+glRxXUabK4T7hOuU8vWrWXN2vXaLxzvy7btpGChQhItWjQ9l/jx42u9VqYe2nMlxf8kKLCEuDcUWEJIhHmbApsxUya5GnJDRzwhXvfuP5RvRo2RSJEi6faChXzl6rXrKkMTJ02WWLFiaXnoQPnCRYt1RA+vDI0fP4GWV69eUwoUKPhC3Y8//tgI2BwVKJwf5LVZ8xYv1IkWPbr4+ZVwfIbAoj76P2PGLEmSJOkL9RFRo0aVr3v11jYhXhCwRIkS6basWX1UoJ3rx4wZU/r1H2i2ZX2hHP3DuYQeHbUitMDGjh1HFi1eqrK4Z+8+jQMHD5nrFuK4f3369NPcYufjIJCLjJFmHAvC26ZNWy2PZ0Tyc3PtrHozze/Eo8eP5eix4zoqbpU7R9ly5SXw9BntH9qbM3e+xE9guw/OgfPr3KWr3DUymT//89F258D1gvBTYAl5v6DAEkIizNsU2NixY+uoaMNGjaRR48ZSvkIFI6OxHSLTo+dX8siI7d59+yVhosRali9/ARk4cJAR3VEqnh999JGWFylSVPt8+MhRSZgwoZZFjhxZUxJGfjNKKlWu4mi3ZMlScsv0BUIzNWCaozxz5izi7z9MevXu65BgBAT24eMnsnb9BokXL76WpUqVSsUQI5nZsudw1B034VuVQWeBRWTOkkWGDR+ho69WGSJXrjzav9KlyzrKcC2skdHQEVpgEThPK/A5efLkcuz4CRV6jKpGjhxFy/Oba4fz6/nV15I0qU3CIdIbN2/RLxHt2rXXMnyB+OSTT8wXgBoybNhwOXz0mFy+es0hrxDfDh07yUgjg02aNlMpRXmDho1UXoMvXNTzRdmnMWJIt+7dzf0aLbVq19E+xjBli5cskwULFkr37j3M55haN1OmzDLEXE9INSZ3ve7fPwosIe4NBZYQEmHcYRIXhKtSpcpy5uw53efM2SCZP3+hyg1G+e4/fKSP6E+cDHRIYvr0GSQo+IIcMbJlCWwiI71HjhyTZ9//YITupCRIYCtPlz69BJ2/oOdYtmx5LYsSNao+vkcaA8LfiBvKEZ06dzVS+kgf8eMzBG++ka8nT79X8du6fYd8FjeubvP1LSzXQm7oUldW36JFiy6r16yTH3/6WQ4fPuo4f4yK7ti5W8u3btvuELls2bLpebu6hq4ENnTgvCGwl69cUylHWQJzTQ4eOuJIM5g8ZapDeFu0bKXXyBJYRNWq1cyx7qoEI8VjipPoj58wUX797Xf55dfftO9NmzXX8pixYumXjWMnTkriJEm0DCtKYOT2sblO6PvsOXM1JeGQuQ64dkj5sO4Xc2AJeb+hwBJCIszbFFgIFPIfo0X7VKJGteW9IkqVLivXrt/QPlj74XHysmUrpJmRpeJ+JXTUL2qUKBLJvk+q1Knl9JlzKkuWEJWvUFHPAe2cPnNWkiVLpuWp06SRs+eCVYLz2ieNpUmTVoKCzmvde0agZsycqeWIzl266fJO+fPb0hEyZsqs69la1whRyIgrtmFUGaKIEURLYNOmS6fHx6gqpDxjxkxa7uOTTUdqUb533wF9dG+Vv6zA4vo1btLESHZn6dCxo7Rr31769Omr7SKdAuKKelWrfe5oE21gKS7rOuXIkVO3tW/fUT8jMKHOEknk/7b50pZegBHvpk2bSc+vvpJu3brL1716mS8B5Rz7TZ023exzS3wL264HAmkOlatU0zZmzZ6jXzSslAyst2t9scDIOFchIOT9hQJLCIkwb1NgIY279+6Tc+eCVJgs4UH5icBT2geIK6SvmhEwbMPoZ5asPlKjRk1pYsTt008/1XJXAlu5SlU9Lto5ddpZYNPK2aBgOX/hovhky65lOXPldkwcguhMd1qFoHPXbppTmsvUwefcufPo7HnUVUE254UJTdiGx+M7du3W+pbApkmbzkjnaZU2iGyGDBm1PHv2HNoOynEdrPSEVxHYuPHimXM+KU+f/SAPHz3RePDwsT7K3717r8S1jww3bNjY0Sb6fTYoyDFKilFajBp36GATWOTzLli4SPuF+mirSZOmus1V4J5gH/w8bvy3OmqLkVhMiMP1eKGu+dKSPEVKmb9gkY7sUmAJIRYUWEJIhHmbAguRCz5/UcUCj9zz5M3nEJ2Ro0abctsSTf0GDHSUf92rj+ZjWisXWLmcrgQWea84rkuBPRcsV66GSIGChbQMOa94nI0+om1M1kI5AiOwN4z0FSvup58TJ06iS1RB7G6ZcrSDFROwDdJ66vSZF0ZgwxLYbEae/7HAGkHFagKh66PekaPHJWmy5FqvcJEiDuFGv/cfPCRx7PcBo6WQTqyWgM+QUaRIWAKLf7v16KnbkOaweMlSXT3hwIGDKqBI28DEMXxGagaO8+ChbRWEw0eOyZw586Rz5y46cm6JLuT90pWrmrOcwD7Zq3TpMnLdadm01x0UWELcGwosISTCvE2BTW9EDiOhEB08rsZkJpQj8hcoqI/4IZMNGzXWsihRosq0aTM0dxLtDR8x0iFEryqwp8+eU6Gx2kYMHDRE+6FLYNV8PtkKObCPHj+Vrt26OcowEQr9htxBij6wr5xQt149FUTnHNh3IbC4dwgsmYV6mJSF5a9wLIxyNm/RUssRQ4f66zJcVg5saIHF+axY+Z18bNrA9mbNWmh+LZbrwsjtkCH+kj59evH19VVp3rJ1u6Ys4DyWLV+p1/SHH39SmbXufVpzTfAlwjlnGdcDqw/gvrwJiaXAEuLeUGAJIRHmXQksjoe8TIgNtiE/FstJQVax9ivKELHjxJHs2bNLipQpJWWq1A6RQ14rUg1eWmCN7EJosD6q9Zgd+aQ+Pj46iz9p0mT6kgCUYxUCSNgZI1zFitpSBZALmilTJq1vzcJPZvbDZCyIn/MqBO9CYBEQz+07djleO4sVB3yyZTPHz+CYwFWgYEGdJAcZDUtgETgu1m3FdqQMoM2cOXNqugfemobyChUraa4wJNY6R4zYZsmSRXLkyCHJU6TQfVEOCb59556cN+ePHFyUoU/p0qWT3LlzawpCWNcgokGBJcS9ocASQiLMmxbYnbv36jJMEJZ06TMYKQxSgcV2CEbHTp11GwKz0rENj5ohHZgMZG2D6C5dtkIX0sdnyB8mLR018oQF8VFWsVJlbdcmsGdUSlEO+YPQ3rp9WyUPE4sgYpZc5TICNWfuAk0VwOcOHTtrPfQfkl2vfgOHbCLiGKkuWLCQbN6yTaUP181ZYCHXSE/ANvQjXbr0Wo71TpGHi3K8jCFu3Hha/ncCiz5YUvrZZ3H1S0FY9dHvbdt36Lq2EFjs88EHkTTvtGq1apprjDoQ9DZtvtTtENK5c+fL3fvPBRb3ASO3ffr2k5QpUxnJtU26g+yiL0gRwOQs9A/tIaUAL3pAjq7tmDbpR93uPb7SEWq0ibpTpk7T1Qqsejg+vghgm/O5/NOgwBLi3lBgCSER5k0KLNrDGqGYIITH2cuWr9D8Ues4EBqMos6dN1+3L1m6TB9Voy+IXbv32MqXLJMLFy+rkGAJK7w1a87cebovxAgjtyjbsHGT47hoB7mbKF+6bLnmqFrHhShhRBbHxTEhldhua2emyqUl2ba+3NVloObNX6D92bFzl9lmyy1FHQRkb9HiJbodx0NaAtpAuzhv9GPFylVaD+U4ptVvlId17W3nclWWmDbRNq4l9g2rPsLqF/oJWce1OnT4iJFe26t2sQ192Llrt7aJ7RBu65ytwGdcc6zA4HwOZ82XEEi4c30INQIii6Wz0O7KVas1bSB0XfQPUo7jWv1DKkF45xSRoMAS4t5QYAkhEeZNCiwCbUIkMOKHf0Nvh9hgGwKi47wNQmTtZwkQ5Meqj7ad23cWyhs3bQJj7W+VW4HRWOe2ndtxNbqJ64Nt1nZX1yqs42FkE+XO5+d8vNDnHTqc6+JfV8cOHajjfK0scXUO6/oinAUzdGCbc1/Dq+vcZnh1na8n4mXO6VUDfabAEuK+UGAJIRHmTQssg/GuggJLiHtDgSWERBgKLMNbgwJLiHtDgSWERBgKLMNbgwJLiHtDgSWERBgKLMNbgwJLiHtDgSWERBgKLMNbgwJLiHtDgSWERBgKLMNbgwJLiHtDgSWERBgKLMNbgwJLiHtDgSWERBhPFlj0F2uIPnj4yGVAYFyt6fqmw+qTbX1TWxnWZMW6qM5r1b5K4FytNkLfJ5wjyl1te5+DAkuIe0OBJYREGE8VWCyQjzdC4dWyRYsW01enWlG8uJ+UK1dehvoP17dqQexctfG6A9cPb96qX7+BFCrkK7Vq15FzQcEScv2GbN+xU9at36D/Xr0WItftYvuygXbx5qwNGzdL8PkX38S1Z+8+bXvzlq36SltKrC0osIS4NxRYQkiE8VSBRX9PnDwlqVKndrxT31XEjh1bJnw7McIjn68SuH547Wu6dOn02MlTpJBTZ86qaKe29zNt2nT6Clz031UbrgJ9nzwlQD766GP5+OOP5bvVa7TMul9FixbXtmPGjKmC/DbO1ROCAkuIe0OBJYREGE8WWLy/P3WaNCpvkSNHloQJE0qyZMkkadKkEiNGDC1HxI0bV3bu2qOP2rEfwnrFKf519bpTXIvQdcMKbLfq2gQ2vR43RYqURmDP6Xv+fQsXkQSmf0WKFpNzQef/p03nNpzvA35++Oix9O7bT9uMFi2arF23XtMTrDZq1apt2k4gmbNklb179/9P2oTzubi6x662W/0J3U9PCgosIe4NBZYQEmG8RWBjxYolW7ft0Mf1eNy+ddt2yZsvn0NiBw0eoiOTp8+clRMnA+X8hYv6Ofj8BS27ft3WLq4BxOdayHVtH3Hp8hW5e+/B/8gc6iI9AY/00aamBphyZ4E9eeq01jt+4qQcPnJU66GPVhs4D7SBY2BboKmP40BCsR/KkYbQunUbbfOTT6LJ3HkLdFQXsow62AdtHz12XM8dZWgb7aDfKLPOBT/j/KxzQd0LFy85tuO875j+4JjoD47hqSO6FFhC3BsKLCEkwniPwMaW3Xv2qQxCzp5+/4N07dbDIbA9v+6lI6GZMmXWz23btZOx4yYYyUwh+fMXkIuXrqg0Xgu5If7Dhmse7aeffqojnnny5JNevfuqTN40x8Xx9VqZQN0MGTLqo33kvS5ctNgcI5MeAwJ7+sw5lcFs2bLLh1GjSo4cOeXcuWCHpCLFoHOXrpI7d14jp5/oedSoUUu2bN0mT599L9Omz5BIkSLJhx9+6DiXjz76SEeY58ydp5JWvnxFiWraTpIkqeza/XykGf0dNHio6Vdhx7ng5z59+5ltV7UORnL9/Ydrm3HixJE169bruSZNlkzL8uXLL7PnzNW6oe+BuwcFlhD3hgJLCIkw3jQCu2Xrdh1BxKghJjvlyJnTIX1D/IdJUNB5lUp8zprVR2LGjKU/Q1AvmX0wgtqgQSPHPlGiRJHIkaM4PlevXlPFD/KJUcneffo6tkWKFFn/jRcvnpFFW/qCJbAYLU2TJq2WpU+fQT9DtE+cCBRf38KONnC8Dz6IpD8nT55C9h04KDNnztLPkFirHo714YcfyazZc1TSihcvoeW4Bjt27tKyCxcvS42atRz74Dycz+Vzcy4XjeAiPWHgwMFaBgkvWqy4Hsv5ePETJNDJcKFTE9w9KLCEuDcUWEJIhPGmHNgERrSSJEmigRFHS8ASJkwkhw4f0clTKVOmcpSXLVteNmzarO1AKDFaabXVsVNnOXDwkEpk27btHPuMGTtOHj1+otsSJU6sZUmTJpPFS5ZpO3369reLqNMI7LlgSZs2lMAauapTt56WYfS0b7/+cuz4CRk/4VuJHj26lleoWElHUfEov3qNmlqGUdoZRmqRkmCtOICVF7ANo7cQWPTv6169tQwBKd+3/4COUFeqXMVRPmz4CHn2/Q8ycJBNYBGJEiWWBYsWy6EjR6VkqdKOcn/zBeDe/Ycu74W7BgWWEPeGAksIiTDeIrBhRaJEiWTK1Gm6LivqWwILScSyVBiBxGgqcmJ9fLLpNqQU3Lp912x7pNsvX7kmqVPbjlOwYCG59+ChrgpgHaNDx87y+MlTlWDkmFqjrWEJLPJuj58IlMRGtFGG4+KcIFwY5Sxbtpw+7q9arbrWRSpB48ZNtS7KsWQWzsfKY3UWWKQQYCQ5V+48WoYJbciRtdamPXDoiI6oYluBAgW1HPnB+Iz46uve8uTpM3M+T2SckWmrvEPHTuY6vZ3lyF5XUGAJcW8osISQCOMtAotRTAhZyZIlpUQJrAfrJ/0HDJSDhw6rWEIMnQU2txE8zWm156IeNGKXOLFNKLEcVfr06XU5LAR+Rj4otqU1n/F43n/YCP2MCJg23f7SAts6sKiP8rAE9sKFS7Jt+0595I8yyClkC+eFNg4ePiJ79x8wUn1JUyKwrVGjxloXAvvd6rUq3db9chZYjLJipNlaXqxU6TISct3WrvbPyG3mzFl0G/JcMQFtyBB//YyYPmOWHg8xYcJER3n7DhBYz5rMRYElxL2hwBJCIozX5MDGjq0SitFDjDQiIDBW3qZV3xLY/EZ2XxBYI42WwCZIkFDy5MkjuXLlcoSvr69Grdq1VVKHDH0ufVOmBrySwEJMt+2AwMbWsoYNG2lfrXN78PCxnofVJra9msBi3VnbdUEaAFY9QF1b/0IkU2bbRLZkyZJLsOnLkCG21AkEJo3heAikM1jlFFhCyOuGAksIiTDeM4krtmOt1/DqOwTWvvIABBaBpaSyZM2q20qWLK0CjEf3SA3Av0ePndCVAZCnihHdyUZaLblr176D1oNwos1UqWyjn2GmEARfkBOmL0mSJtOyzEYo8dgfwoX81eEjRopfiRIyasxY7dd90xdILupCYNdv2Kj1rHMNnUKAUds8eW1LiCGFAukKOB+kROzZt1/ixoun27A2LcoHDXqeQkCBJYS8LSiwhJAIQ4G15ZFiUlXffgN0G2bgt/6ijWw2wgohHD7iG31JArZBhiCqmMSV2F893ygAAAPDSURBVD6JCxOfZs6aI7tN3VatvnDM4A9vEhfyaJs0beY4XvsOHVUuA6bNcLRbuHBRHdGFZLZs2VrLEJDJ3Xv26vngnrmaxDVg4CBHfbzSFvKNlRlKlSrjKB9tBDn0JC4KLCHkbUGBJYREGE8WWIxiWo/KX1ZgIZWoj/VNMYvfElj8i5SCuvaVAVxFpsxZ9BE9jnH7zj3pP2CQrljgXAejr4XsS2PhVbIQWOdltPCSAzzihwyeOn1GChbyfWF/KyDaeOMW6mHEF2IZuk6r1jaZxpq1+KzLaO2wLaOFEV0IsrW8V+ho2KixphNgkpqz7AY4C+x4Z4HtSIElhLxWKLCEkAjjyQIbaAQwd+7cEjNmDCOyqXUE87YpD6s+hBEvEsASW6XLlHXkwFp18DPEb9ToMbrEFtZ0xWtosc5qv/4DJDDwtEOQca1umPqjx4yTnDlzSZzYsbVNvAGsU+cuutxV9hw55IyRV7xAIU+evPryAYgzXmyAY6EtvAUM68kiLzW2aQNC3qx5S5uM24URx7oacl0njqEeXjiAVRQ6m+NA0qpWrabnhH0xMot20T5SCcaOGy9lypaT+PHj67ng55HfjNJtqIP9RxrJw7Fxvng5AoQZMTVgmvYZbff86msKLCHktUKBJYREGE8VWAQmJyFHFEtNYRksSJmrelagPuqhPlYScFUH1wDig59RD4F2IXS4Ri/UNXHXSB0e80NSUQbJgxjjM46FY7543Ev62WoDbaJtax9st43wvjiSjH4510Nb+BnbMJKMz6GvgbUPfrbOBT/j/JzvNfpvbYfAuyrHyyGsck8JCiwh7g0FlhASYTxZYBEYRbTC1fbQYdX9u3PF9leta9Vz3teqY312LnMO5+3hHc9VPVfHcw7n7a7aDmv73+3n7kGBJcS9ocASQiKMpwssgxFWUGAJcW8osISQCEOBZXhrUGAJcW8osISQCEOBZXhrUGAJcW8osISQCEOBZXhrUGAJcW8osISQCGMJrLX0EiSWwfCGwBq5I74ZRYElxE2hwBJCIgxHYBneGtYIbEsKLCFuCQWWEBJhFixcrG99qlCxspSvUInB8JqoWKmKZM6SVdq1a2//bSeEuBMUWEJIhLl7756+J3/jpk0MhtfFpk2b9cUPhBD3gwJLCCGEEEI8CgosIYQQQgjxKCiwhBBCCCHEo6DAEkIIIYQQj4ICSwghhBBCPAoKLCGEEEII8SgosIQQQgghxKOgwBJCCCGEEI+CAksIIYQQQjwKCiwhhBBCCPEoKLCEEEIIIcSDEPn/NXp8mlhbRuoAAAAASUVORK5CYII=)\n",
        "\n"
      ],
      "metadata": {
        "id": "uCOeiwydmohY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Using Random Forest Regression to Train and Fit the Data\n",
        "\n",
        "from sklearn.ensemble import RandomForestRegressor\n",
        "\n",
        "forest_regressor = RandomForestRegressor(n_estimators=10, random_state=42)\n",
        "forest_regressor.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nRb7VPEWnvgF",
        "outputId": "3e78bff9-3c5a-49e4-dd65-e56259387221"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestRegressor(n_estimators=10, random_state=42)"
            ]
          },
          "metadata": {},
          "execution_count": 85
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Predicting the Test Set Results\n",
        "\n",
        "y_pred = forest_regressor.predict(X_test)"
      ],
      "metadata": {
        "id": "mVF3v1RPn4-G"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Seeing how our Predicted Values are comapared to real values\n",
        "\n",
        "compare = pd.DataFrame({\"Real Values\":y_test, \"Predicted Values\": y_pred})\n",
        "compare.head() # Seeing the First 5 rows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "7EFvMc7rtH53",
        "outputId": "324f7607-89ad-488e-ef21-fbb22f62f7dd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-9f880c36-64e2-4482-a6c1-556a92ff26df\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Real Values</th>\n",
              "      <th>Predicted Values</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>173</th>\n",
              "      <td>23.6</td>\n",
              "      <td>22.13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>274</th>\n",
              "      <td>32.4</td>\n",
              "      <td>30.58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>491</th>\n",
              "      <td>13.6</td>\n",
              "      <td>17.02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>22.8</td>\n",
              "      <td>23.07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>452</th>\n",
              "      <td>16.1</td>\n",
              "      <td>15.65</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9f880c36-64e2-4482-a6c1-556a92ff26df')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
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              "      height: 32px;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9f880c36-64e2-4482-a6c1-556a92ff26df button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9f880c36-64e2-4482-a6c1-556a92ff26df');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     Real Values  Predicted Values\n",
              "173         23.6             22.13\n",
              "274         32.4             30.58\n",
              "491         13.6             17.02\n",
              "72          22.8             23.07\n",
              "452         16.1             15.65"
            ]
          },
          "metadata": {},
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Evaluating the Performance of our Model\n",
        "\n",
        "from sklearn.metrics import r2_score, mean_squared_error\n",
        "\n",
        "r2 = r2_score(y_test,y_pred)\n",
        "mse = mean_squared_error(y_test,y_pred)"
      ],
      "metadata": {
        "id": "C6cY3qoVn7xz"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"For Random Forest Regression !!!!!\")\n",
        "\n",
        "print('Mean Squared Error : ', mse)\n",
        "print('R Square : ', r2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8vn2G-E-n9Cv",
        "outputId": "9db70a1f-df5d-40ee-e668-4fddd9f0b0fd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "For Random Forest Regression !!!!!\n",
            "Mean Squared Error :  10.974757843137251\n",
            "R Square :  0.8503451292135831\n"
          ]
        }
      ]
    }
  ]
}