Heart_Predection/HeartDisease.ipynb

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    "colab": {
      "name": "HeartDisease.ipynb",
      "provenance": []
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      "name": "python3",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1FN-ed6TGLV6"
      },
      "source": [
        "Problem Statement:<br>\n",
        "In this problem we will be using Machine Learning to predict if any person is suffering from heart disease or not.We be also performing Anaylsis on the dataset\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hYgWDd-NGDAC"
      },
      "source": [
        "<a href=\"https://www.kaggle.com/ronitf/heart-disease-uci\">Dataset<br>\n",
        "<a href=\"https://colab.research.google.com/drive/1sDXqWJK4IrZ23KA7vVD35YkgiGY_f2wx?usp=sharing \">Colab-Link</a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Rd7pPvEOF1y2"
      },
      "source": [
        "The data set contains:\n",
        "<ul>\n",
        "<li>age</li>\n",
        "<li>sex</li>\n",
        "<li>chest pain type (4 values)</li>\n",
        "<li>resting blood pressure</li>\n",
        "<li>serum cholestoral in mg/dl</li>\n",
        "<li>fasting blood sugar > 120 mg/dl</li>\n",
        "<li>resting electrocardiographic results (values 0,1,2)</li>\n",
        "<li>maximum heart rate achieved</li>\n",
        "<li>exercise induced angina</li>\n",
        "<li>oldpeak = ST depression induced by exercise relative to rest</li>\n",
        "<li>the slope of the peak exercise ST segment</li>\n",
        "<li>number of major vessels </li>\n",
        "<li>thal: 3 = normal; 6 = fixed defect; 7 = reversable defect</li>\n",
        "<li> Target : <br>\n",
        "1 has a heart disease <br>\n",
        "0 : not has a heart disease </br>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "24GokR_tG_4-"
      },
      "source": [
        "#Importing all the dependencies"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CGGTt4jsFlj1"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "import seaborn as sns\n"
      ],
      "execution_count": 97,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wOLspQ2XHF_8"
      },
      "source": [
        "#Loading the Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "npkdeLMUIFie",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "outputId": "e8b2a30b-8bf1-46ab-f48a-c8407f06be80"
      },
      "source": [
        "data = pd.read_csv('/content/heart.csv')\n",
        "data"
      ],
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "execute_result",
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>age</th>\n",
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              "      <th>trestbps</th>\n",
              "      <th>chol</th>\n",
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              "      <th>slope</th>\n",
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            "text/plain": [
              "     age  sex  cp  trestbps  chol  fbs  ...  exang  oldpeak  slope  ca  thal  target\n",
              "0     63    1   3       145   233    1  ...      0      2.3      0   0     1       1\n",
              "1     37    1   2       130   250    0  ...      0      3.5      0   0     2       1\n",
              "2     41    0   1       130   204    0  ...      0      1.4      2   0     2       1\n",
              "3     56    1   1       120   236    0  ...      0      0.8      2   0     2       1\n",
              "4     57    0   0       120   354    0  ...      1      0.6      2   0     2       1\n",
              "..   ...  ...  ..       ...   ...  ...  ...    ...      ...    ...  ..   ...     ...\n",
              "298   57    0   0       140   241    0  ...      1      0.2      1   0     3       0\n",
              "299   45    1   3       110   264    0  ...      0      1.2      1   0     3       0\n",
              "300   68    1   0       144   193    1  ...      0      3.4      1   2     3       0\n",
              "301   57    1   0       130   131    0  ...      1      1.2      1   1     3       0\n",
              "302   57    0   1       130   236    0  ...      0      0.0      1   1     2       0\n",
              "\n",
              "[303 rows x 14 columns]"
            ]
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          "metadata": {
            "tags": []
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          "execution_count": 98
        }
      ]
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      },
      "source": [
        "data.head()"
      ],
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "      <td>1</td>\n",
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            ],
            "text/plain": [
              "   age  sex  cp  trestbps  chol  fbs  ...  exang  oldpeak  slope  ca  thal  target\n",
              "0   63    1   3       145   233    1  ...      0      2.3      0   0     1       1\n",
              "1   37    1   2       130   250    0  ...      0      3.5      0   0     2       1\n",
              "2   41    0   1       130   204    0  ...      0      1.4      2   0     2       1\n",
              "3   56    1   1       120   236    0  ...      0      0.8      2   0     2       1\n",
              "4   57    0   0       120   354    0  ...      1      0.6      2   0     2       1\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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        "colab": {
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        },
        "outputId": "f3e60ab5-9942-43ea-fc2f-a73d6ef33179"
      },
      "source": [
        "data.shape"
      ],
      "execution_count": 100,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(303, 14)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 100
        }
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    {
      "cell_type": "code",
      "metadata": {
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        "id": "CCYnA9f3IjXw",
        "outputId": "a1026991-5360-412f-cdcb-eb604f0d0090"
      },
      "source": [
        "data.info()"
      ],
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 303 entries, 0 to 302\n",
            "Data columns (total 14 columns):\n",
            " #   Column    Non-Null Count  Dtype  \n",
            "---  ------    --------------  -----  \n",
            " 0   age       303 non-null    int64  \n",
            " 1   sex       303 non-null    int64  \n",
            " 2   cp        303 non-null    int64  \n",
            " 3   trestbps  303 non-null    int64  \n",
            " 4   chol      303 non-null    int64  \n",
            " 5   fbs       303 non-null    int64  \n",
            " 6   restecg   303 non-null    int64  \n",
            " 7   thalach   303 non-null    int64  \n",
            " 8   exang     303 non-null    int64  \n",
            " 9   oldpeak   303 non-null    float64\n",
            " 10  slope     303 non-null    int64  \n",
            " 11  ca        303 non-null    int64  \n",
            " 12  thal      303 non-null    int64  \n",
            " 13  target    303 non-null    int64  \n",
            "dtypes: float64(1), int64(13)\n",
            "memory usage: 33.3 KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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        "id": "oPnA7FllImJ1",
        "outputId": "f17e8c02-3bca-4394-cf1f-33b917935fbd"
      },
      "source": [
        "data.columns "
      ],
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['age', 'sex', 'cp', 'trestbps', 'chol', 'fbs', 'restecg', 'thalach',\n",
              "       'exang', 'oldpeak', 'slope', 'ca', 'thal', 'target'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 102
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RRJHV17_IyHG",
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          "height": 295
        },
        "outputId": "6733c113-6ca8-401b-eec8-a2150a91cfda"
      },
      "source": [
        "data.describe()"
      ],
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>age</th>\n",
              "      <th>sex</th>\n",
              "      <th>cp</th>\n",
              "      <th>trestbps</th>\n",
              "      <th>chol</th>\n",
              "      <th>fbs</th>\n",
              "      <th>restecg</th>\n",
              "      <th>thalach</th>\n",
              "      <th>exang</th>\n",
              "      <th>oldpeak</th>\n",
              "      <th>slope</th>\n",
              "      <th>ca</th>\n",
              "      <th>thal</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>303.000000</td>\n",
              "      <td>303.000000</td>\n",
              "      <td>303.000000</td>\n",
              "      <td>303.000000</td>\n",
              "      <td>303.000000</td>\n",
              "      <td>303.000000</td>\n",
              "      <td>303.000000</td>\n",
              "      <td>303.000000</td>\n",
              "      <td>303.000000</td>\n",
              "      <td>303.000000</td>\n",
              "      <td>303.000000</td>\n",
              "      <td>303.000000</td>\n",
              "      <td>303.000000</td>\n",
              "      <td>303.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>54.366337</td>\n",
              "      <td>0.683168</td>\n",
              "      <td>0.966997</td>\n",
              "      <td>131.623762</td>\n",
              "      <td>246.264026</td>\n",
              "      <td>0.148515</td>\n",
              "      <td>0.528053</td>\n",
              "      <td>149.646865</td>\n",
              "      <td>0.326733</td>\n",
              "      <td>1.039604</td>\n",
              "      <td>1.399340</td>\n",
              "      <td>0.729373</td>\n",
              "      <td>2.313531</td>\n",
              "      <td>0.544554</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>9.082101</td>\n",
              "      <td>0.466011</td>\n",
              "      <td>1.032052</td>\n",
              "      <td>17.538143</td>\n",
              "      <td>51.830751</td>\n",
              "      <td>0.356198</td>\n",
              "      <td>0.525860</td>\n",
              "      <td>22.905161</td>\n",
              "      <td>0.469794</td>\n",
              "      <td>1.161075</td>\n",
              "      <td>0.616226</td>\n",
              "      <td>1.022606</td>\n",
              "      <td>0.612277</td>\n",
              "      <td>0.498835</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>29.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>94.000000</td>\n",
              "      <td>126.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>71.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>47.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>120.000000</td>\n",
              "      <td>211.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>133.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>55.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>130.000000</td>\n",
              "      <td>240.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>153.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.800000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>61.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>140.000000</td>\n",
              "      <td>274.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>166.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.600000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>77.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>200.000000</td>\n",
              "      <td>564.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>202.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>6.200000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              age         sex          cp  ...          ca        thal      target\n",
              "count  303.000000  303.000000  303.000000  ...  303.000000  303.000000  303.000000\n",
              "mean    54.366337    0.683168    0.966997  ...    0.729373    2.313531    0.544554\n",
              "std      9.082101    0.466011    1.032052  ...    1.022606    0.612277    0.498835\n",
              "min     29.000000    0.000000    0.000000  ...    0.000000    0.000000    0.000000\n",
              "25%     47.500000    0.000000    0.000000  ...    0.000000    2.000000    0.000000\n",
              "50%     55.000000    1.000000    1.000000  ...    0.000000    2.000000    1.000000\n",
              "75%     61.000000    1.000000    2.000000  ...    1.000000    3.000000    1.000000\n",
              "max     77.000000    1.000000    3.000000  ...    4.000000    3.000000    1.000000\n",
              "\n",
              "[8 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 103
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qrM1niClHXla"
      },
      "source": [
        "#Analysis of the Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lsI5zPQZI2i6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "20fcd3fb-62b0-421c-c61e-11513d0d7c4a"
      },
      "source": [
        "data.isnull().sum()"
      ],
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "age         0\n",
              "sex         0\n",
              "cp          0\n",
              "trestbps    0\n",
              "chol        0\n",
              "fbs         0\n",
              "restecg     0\n",
              "thalach     0\n",
              "exang       0\n",
              "oldpeak     0\n",
              "slope       0\n",
              "ca          0\n",
              "thal        0\n",
              "target      0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 104
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_yoGkcjoHwI2"
      },
      "source": [
        "conclusion : The above analysis tell us that our data set has no null values"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4_cuZwx-H_n-",
        "outputId": "de03285d-dae0-464f-ca42-a9579778c6d5"
      },
      "source": [
        "data.sex.value_counts()"
      ],
      "execution_count": 105,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1    207\n",
              "0     96\n",
              "Name: sex, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 105
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GBw20XkaISCM"
      },
      "source": [
        "Conclusion:The no of males(1) and female(0) count in the dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 400
        },
        "id": "EFvttNCTIwKJ",
        "outputId": "d0390457-d663-4a17-a931-fc2fee52d3ab"
      },
      "source": [
        "pd.crosstab(data.target, data.sex).plot(kind=\"bar\",figsize=(10, 6),color=[\"red\", \"blue\"])\n",
        "plt.title(\"Heart Disease Frequency for Sex\")\n",
        "plt.xlabel(\"0 = No Disease, 1 = Disease\")\n",
        "plt.ylabel(\"Number of patients\")\n",
        "plt.legend([\"Female\", \"Male\"]);\n"
      ],
      "execution_count": 106,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4-Sa3OJzJNGA"
      },
      "source": [
        "conclusion: males have a high probabilty of having heart disease over females"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        },
        "id": "SjYAlu9XJqsH",
        "outputId": "d576a4df-8585-4dde-e91c-c17ea3d47d87"
      },
      "source": [
        "plt.figure(figsize=(10,6))\n",
        "plt.scatter(data.age[data.target==1],data.thalach[data.target==1],c = \"red\")\n",
        "plt.scatter(data.age[data.target==0],data.thalach[data.target==0],c = \"blue\")\n",
        "plt.title(\"Age versus max heart rate\")\n",
        "plt.xlabel(\"Age\")\n",
        "plt.ylabel(\"Max Heart Rate\")\n",
        "plt.legend([\"Disease\", \"No Disease\"]);"
      ],
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9_gwCB_hKyUB"
      },
      "source": [
        "conclusion: There is a less possibilty of disease after 50"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 526
        },
        "id": "C5CV22t6LYcg",
        "outputId": "7ab9ee8d-ac95-493a-adc5-acafcc678e20"
      },
      "source": [
        "pd.crosstab(data.cp, data.target).plot(kind=\"bar\",figsize=(10, 8),color=[\"red\", \"blue\"])\n",
        "plt.title(\"Heart Disease Frequency versus Chest Pain Type\")\n",
        "plt.xlabel(\"Chest Pain Type\")\n",
        "plt.ylabel(\"Amount\")\n",
        "plt.legend([\"No Disease\", \"Disease\"])"
      ],
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f4472681ed0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 108
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "g04-niMaJRTc",
        "outputId": "9efc6d5e-a283-4bdf-9155-f64866d8c7bb"
      },
      "source": [
        "data.hist(bins=20,figsize=(18, 16))"
      ],
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f44726cc3d0>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f4472586e50>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f4472543350>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f44724f48d0>],\n",
              "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f44724a7e50>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f4472463410>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f4472418a10>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f447244ded0>],\n",
              "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f447244df10>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f44724105d0>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f4472370b10>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f447233d590>],\n",
              "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f44722f3ad0>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f447229cb90>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f447226b610>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f4472220b90>]],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 109
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1296x1152 with 16 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "ZL2eqEr8J7dz",
        "outputId": "6a653e71-6b51-4c81-ac26-bb47a1a5c698"
      },
      "source": [
        "sns.set_style('darkgrid')\n",
        "figsize=(20, 16)\n",
        "sns.countplot(x='target',data=data)"
      ],
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f4471e9ea90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 110
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2Qk5yglsqdQb",
        "outputId": "8adabdf4-519e-4796-be3b-3d3aca99293a"
      },
      "source": [
        "data_target = data.groupby(\"target\").size()\n",
        "data_target"
      ],
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "target\n",
              "0    138\n",
              "1    165\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "H3MnTdh_haQ1",
        "outputId": "529644ef-06c1-4ee2-d630-931c9ac89609"
      },
      "source": [
        "import seaborn as sns\n",
        "#get correlations of each features in dataset\n",
        "corrmat = data.corr()\n",
        "top_corr_features = corrmat.index\n",
        "plt.figure(figsize=(20,20))\n",
        "#plot heat map\n",
        "g=sns.heatmap(data[top_corr_features].corr(),annot=True,cmap=\"RdYlGn\")"
      ],
      "execution_count": 112,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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T8EqP+UKyWtOIiizdMEdaQrBa08ptHxu7ipiYsmfUqyNrahZREYEljyMjgrCmZp3z+yQkHqGoyEaDutVnJ/1/UjILXcZBS5AP1sy/lmj4en0K3ZuHXKjQqpxXuIVia+lBd3GqFa9wS5l2YQ88SvoX/8GR77njWnmsqdmu63x4INbj2S5tUo6XtvHyMhFY05f0jDxaNotg2aq9FBfbOXw0g8RdVo6luH5flsTtpH/vltVi6rvVmkZkVOl31hJ56Yx9ACk5RUQGlO6bWAK8Sckum6T4M0czCzmSWUinep5/oP4/KdZMLOew3V94lu3+wD7TGNBnGp27Nqdxk4hKj/l8WY/nEBVRmkCIDK+J9USOS5uUE9lEhTv/j15mE4E1fUjPzOfA4XQMw2DU04sY+uBXfDB3IwDeXmaeeyyGG++fS8yI2exNSmN4/1ZV16nzYASF4cgonTnpyDiOERRW/gv8amJq2Qn7vs0lT5mvHojvEx/g1e9eihZXv6S1XFoqlKTYsGEDAwYMoH///gDs2LGD559/vjLjkkow5ebmfLHmGMPe2EhOgQ1vL+dO2ZZD2ZhNBivGX82PY67k4/gjHDpR/XZm/0yx3UFGbhFf/uMq/jW4OU98tAWHw8HQznWwhPhy8yu/8eLXO2nfOBhTNdhhrYjvFm1me+JR7rinGwCHDp7gwP5UFv74D7796Z+s/20fm9YfcG+QlWjhgrUkbj3IqNF93R2Kx0g5nsVTkxYy9ZkbMF3C11cu3JzK1qM53NetjrtDqVQ+zVviXbc+OSvi3B1KlRs2IJrI8ACG3/8ZU9/8mSui62A+Y51fEreDgde2dlOElWfBwrVsTTzI6FEa+8703e50+jYLLrMuXCy+W7SJ7YlHuOOe7kDpdv/bH//Fop+e4vff9rHxIt7uAxTbHKzfeozp4/rw+Ws38eMv+1mz4TBFxTa+/DaR+e/dTPzcu2jRJIz3v9jo7nAvPJMJn5ufovjXhTjSShPZtt8WU/DqaIp/+BivniPcGGD1ZJiMi/LHU1WocOaLL77Ihx9+yEMPPQRAq1at+P333ys1MHH6fPVRYn+zAhBdL4Dk06YmJ2cUEhHkOnUzIsjXZfqyNaMQy6k2TSJq8OFo51mV/al5rNjhnFWxaFMq3VqG4m02ERbgQ4dGgWw9nEX9MD/c7fP4Q8SeqhkR3SCI5LTS5ElyegERwWf0P9gX62mzIKzpBVhOFcWLDPGjbzvn5TKXNwrGZDJIyy6iVqAPY4e1LHnNbTPX0egsxbg8RbglsOTyDXCeYQmPKFtA9Ldf9/LJrBW8+9F9+Pg4v+or4rYTfXl9atRw/k26dGvOls2HaN+xUZXEfiFYLKEcO20Kc7I1HYul7IyA1au389573/HpZ0/i4+N5M4P+Ckt4oMuZ4OSUTCzhgX/wClfZOQU8+I+5PP63nrSP9vzp7f8zZ20yX613Xn/dtq7rOGjNLMQSVPayjj+yem8G7684wn/ua4OPV/W66jF42K0E3TgcgPztW/GyRJYs8wq3UJxqdWnvF90e31ZtaPj19xhmM+bQMOq+/TFHHq4etQks4QGu63xqFpbarmfAI2o720RGBFJcbCcrp4CQYH8Mw2DsacUwb31oTsklTwA79qRQbHMQ3bLs7BNPZLGEknysdOyzJv/x2PfZp9V/7Psi4TjzEp01SKIjapB82swJa3YREQHn3r+lu9IY37PeBYuxKkRYgrBWaLu/59R2f1TJdn953LYy2/2tmw9xhYdv9y21a3IspXTmRHJqDpYzLs2ICAvgWGo2keEBFNvsZOUUEhLkR2R4Ta5sG1VSELNHpwZs251KQA3ntqJBHeeslP49mjLrS89NUpivHojXlc7iuPYjuzCCS2e+GsG1cWSeOOvrvG98FMeJo9jWLDjrctuWeLxveJgiXr3wQYtcIBXeO4uKinJ9oal67dhVVyO71mH+41cw//Er6NMmjAXrU3A4HGxKyiTQz0zEGTvnEUE+BPia2ZSUicPhYMH6FHq3ce6Unch27tjb7Q7eW3aQEZ2dO7dRIb6s3ZMOQG6hjc0Hs2jiIQfpI2PqM39MZ+aP6UyfyyNY8NsxZ//3ZxDo53XWJEWAnxeb9mc4+//bMXq3dQ7qfS4PZ+1u5w7e/pQciorthAZ4k1doI7fABsCqHScwmwyaRXnuNNDWbepyKOkkRw+nUVRUzI9Lt9C9p+t0xZ3bjzFt0kJeeWOky7WnlqhgNvx+gOJiG8VFNjb+foBG1exyj7ZtG5J0IIXDh45TWFjMksXr6N37cpc227Yd5LkJn/POuw8RFlZ2R666atu6DkmHTnL4aDqFRTaW/LSN3t1bVOi1hUU2Hnk6lsH9Ly+540d1cXunSOb/3+XM/7/L6dMqlAWbUnE4HGw+lEWgn/mstSfKs+1YDhMX7uOtkS0J+wsHOO6WMe9LDt09nEN3DycnfhmB/W8EwLfN5dhzsrGdOO7SPnP+XA7c2Jukof04/Le7KDx4oNokKADatook6XA6h49mONf5uJ307tbUpU3vbk35ZmkiAN8v30XnDg2ctZbyi8jNcx7Urlp3AC+ziWaNS6dHL/5pBwOvbUl10bZtQw4kpXDosHPsW7zk7GPfhOc+5913Lo6x77bLa5cUu+zdJJiF29Oc3/3kHAJ8TH9ae+JM+07mk1lgo12kZ+zjVJRzu3+Co4dPlmz3Y8ps94/y0qQFZbb7kVEhbPx9f7Xb7rdtGUHSkXQOH8t0fveX76F310YubXp3bcQ3P+wE4Pv4vXRuXxfDMOh2ZQN27z9JXn4RxTY76zYfpWnDWkTUrsnepDROpjsvX1+9/jBNGnjuZY+23xZT8M6jFLzzKLbtv2Ju3xsAo15LyM+B7LKXe3n1uRPDryZF373v8rxRq3TWoKnFVThOHD3zpSIepUIzKaKiotiwYQOGYVBUVMTs2bNp2rTpn7/QjebcN4meLTpQOyCEQ1MX8tyiWXy0+lt3h3VeerQKJX5nGv1eXo+fj4mpN5dWrx7y2kbmP34FABOGNGXsf3dTUGSne8tQYlo6B+DFm1KZs+YYAH2jazP0SufZo9u7RDH+q10MmrEBcDDkSgstozyvkFCPNmHEbztOv0mrnbdgvaNNybIhL/3K/DGdAZgwolXJLUi7tw4j5jLnTunQznV45vNt3DB1Dd5mEy/e0QbDMDiZVcjodzZiMiAi2I9pd7U56+d7Ci8vM/8cN5DHHpqN3WZn0E0daNIsgvffjqPVZXWJ6dWKN2d+T25uIeP/ORcAS2Qw098cSe++bVj/235GDnsbwzDofE2zMgkOT+flZebZCSMYNfoN7DY7w4Z1pXnzOrzx+kKioxvSu087Xnn5a3JzC3j8sVkAREXV4t33/g+AkbdPZ9++ZHJzC+gRM4bJU+6ke3fP/p//j5eXiWf/0Y9Rj3+B3W5n2KB2NG8SzhvvryC6dRS9u7dgy7ajPDImlsysfH7+ZTdvfRDPojl/Y2ncNn7fdJD0zFzmL3Feo/riMzfQukXkn3yqZ4lpEUL87nSuf20Tft4mpgwp3RYNeSeB+f/nPGib/n0Si7ecIL/ITq/pGxjWIZxHetdn+vdJ5BbaeWLubgDqBPvy9sjqc6B6utzV8dTo2p2GX32HvSCPlMmld/eo/59YDt093I3RXRheXiaefaI3o/4xz7nOD4ymeePavPHBKqJbWejdrRnDB7blqcnfcd2tHxIc5MfM5wcCcCItl9H/mIfJZGCpHcC0Zwa4vPd3y3bx/ivV53asXl5mJjw7gtGj3sBmLx37Xn/DOfb16d2Ol19xjn2PPV469r33rnPsu31k6dgX02MMUyZXn7EPoHujQOKTMhkwewd+3iYm9ym9VfrwL3YSe5vzezxz1VEW70wnv8hOn4+2MaxNLf6vk3OcW7o7neubh1SLGiSnc273B/H3h/6D3Wbnhps60qSZhX+//ROtL6tLTK/WvDlzKbm5hYz7p/P2upGRIUx/8w56923D77/tZeSwt8CALtc0rxbbfS+ziWcf7c6oMYuw2x0Mu74VzRvV4o1PfiO6RTi9uzZmeP9WPPVSHNfd9TnBgX7MHO+8vCk40Jd7hrfj5ofnYRgQc3VDenZ23tHt4Tuv5I4nv8HLbKKOJZAX/9Xbnd2sMPuudThaXInvEx+U3IL0f3z/700K3nkUgsLw7nkr9tRD+D70BgDFa7/Ftv4HvDoPwtS0PdhsOPKyKfx6pru6IlIhhsPx5+VdT548yZQpU1izZg0Oh4NrrrmG8ePHExr659lH46HOFyTQ6sjWr/ps/CtFDfdfLuJOGT1i3B2CW4X4en5hrkp18tK9/7j9x0uv/sHp9r+23t0huFXTBX93dwhuZYR7/u1MK0vh2++6OwS3yr3/ZneH4FbBKWe/LeylIv/9H90dglv5v7DY3SFUqhrjev15o2ood+rP7g7hrCo0k6JWrVrMmDGjsmMRERERERER8SieXGTyYlShJMXkyZPLPBcQEEB0dDTXXnvtBQ9KRERERERERC49Fap+WVBQwPbt22nYsCENGzZk586dWK1WYmNjmTJlSmXHKCIiIiIiIiKXgArNpNi5cydffPEFZrMZgNtuu42RI0cyZ84cbrjhhkoNUEREREREREQuDRVKUmRkZJCbm0tgYCAAeXl5pKenYzab8fE5t/vTi4iIiIiIiFQXqklRtSqUpBg9ejSDBw+mU6dOOBwO1q1bx4MPPkhubi5dunSp7BhFRERERERE5BJQoSTFzTffTExMDAsWLKBp06Zcc801REZGUqNGDZ5++unKjlFERERERERELgEVSlJ89dVXzJ49m+TkZFq1asXmzZtp3749s2fPruz4REREREREROQSUaG7e8yePZvY2Fjq1KnDp59+yvz58wkKCqrs2ERERERERETcyjAZF+WPp6pQksLHxwdfX18ACgsLadq0Kfv376/UwERERERERETk0lKhyz0iIyPJzMzk2muv5d577yUoKIg6depUdmwiIiIiIiIicgmpUJLi7bffBuDRRx+lU6dOZGVl0b1790oNTEREREREREQuLRVKUpzu6quvrow4RERERERERDyOYXhu/YaLUYVqUoiIiIiIiIiIVDYlKURERERERETEIyhJISIiIiIiIiIeQUkKEREREREREfEI51w4U0RERERERORSYZhUOLMqaSaFiIiIiIiIiHgEJSlERERERERExCMoSSEiIiIiIiIiHkE1KURERERERETKoZoUVUszKURERERERETEIyhJISIiIiIiIiIeQUkKEREREREREfEIqkkhIiIiIiIiUg7VpKhamkkhIiIiIiIiIh5BSQoRERERERER8QhKUoiIiIiIiIiIR1BNChEREREREZFyqCZF1dJMChERERERERHxCEpSiIiIiIiIiIhHUJJCRERERERERDyCkhQiIiIiIiIi4hEqvXCmrV+byv4Ij2X+PtHdIbiVbURnd4fgVsGrVrk7BLcqXHvQ3SG4lc+tXd0dgtsY4cHuDsGtmky7zt0huJXhd2n//x2pu90dgtt4dWjo7hDcKjg7x90huJVRr527Q3CropQF7g7BrfzdHUAlU+HMqqWZFCIiIiIiIiLiEZSkEBERERERERGPoCSFiIiIiIiIiHiESq9JISIiIiIiIlJdqSZF1dJMChERERERERHxCEpSiIiIiIiIiIhHUJJCRERERERERDyCalKIiIiIiIiIlEM1KaqWZlKIiIiIiIiIiEdQkkJEREREREREPIKSFCIiIiIiIiLiEVSTQkRERERERKQcqklRtTSTQkREREREREQ8gpIUIiIiIiIiIuIRlKQQEREREREREY+gJIWIiIiIiIiIeAQVzhQREREREREph2GocGZV0kwKEREREREREfEISlKIiIiIiIiIiEdQkkJEREREREREPIJqUoiIiIiIiIiUwzCpJkVV0kwKEREREREREfEISlKIiIiIiIiIiEdQkkJEREREREREPIJqUoiIiIiIiIiUQzUpqpZmUoiIiIiIiIiIR1CSQkREREREREQ8gpIUIiIiIiIiIuIRVJNCREREREREpByqSVG1NJNCRERERERERDyCkhQiIiIiIiIi4hGUpBARERERERERj6AkhYiIiIiIiLfBxzAAACAASURBVIh4BBXOFBERERERESmHSaf2q1S1S1I4HA6mLtxH/M40/LxNTL2lBW3qBpRpl3g4m7Ff7aKgyE5My1DG3dgEwzDYcTSb5+fvJbfQRt1QX165tSUBfl4U2ew8G7uHbUezsdkcDO4YwQO96ruhhxfGh3eOZ1Dba0jJSqPtCyPdHc4F4XA4mDp3O/FbU/HzMTP1nra0aRBcpl1iUgZjP0lw/u+jwxk3ojWGUVqR9+Mf9/Ny7A5Wz+hDaIAPGTlFjJ+9hUOpufh6m5h8V1ta1A2syq5ViMPhYOp/dxCfeKr/d7WlTYOgMu0SkzIYO3srBUU2YtqEM+6WVhiGwVuL9vDVL4epFegDwOODm9MjOpxvfzvKRz8eKHn9ziNZzBvbhdb1y763pzL3HY25aUccRQUUL3oDh3WfawMvH7yGPIURGgl2O/Y967At/9Q9wf4FK38/zJR3f8VutzP8+pY8MKKdy/LCQhtPT19B4u7jhAT5MXNsL+pFlq7DR1OyGfTAPB6+owOjhrcFoPddc6lZwxuzycBsNjHvzcFV2qdzUVnrfpHNzrOfJrLtUCY2u4PBnerwwPVNqrp7f8rhcDD1y23Eb0lx9v/edrRpWM7Y9/FmCgptxLSNYNytl7mOfT/s4+WvtrN6Zl9CT/0tALbsT+e2l1Yz44Er6Ncxqkr69FfFr97NlBlLsNsd3Dy4Aw/cE+OyfN2GA0yd+R0791iZOeVmru/TxmV5dnY+A0a8xbU9WjHhqUFVGfpfsnLtfqa8/jN2u4Phg6J54I5OLssLC4t5esp3JO5McX73Jw6iXlQwhUU2nnvlR7butGIyDMY91otOVzj3aQqLbLzwahy/bTyMyQSP39+Nfj1buKN7f8rhcDB1zlbiE6zOdX/UFbRpFFKmXeKBdMZ+sNH53b/cwrjbozEMg9e/3sGyjccwGQa1gnx5cdQVRIT6se9YFuM+3MS2pAweH9qK+/o3c0Pvzs3KX/cy5bWfsNvsDL+hPQ/c1cVl+bqNB3nx9Z/YuTeFGRNv4vrerQDYvsvK868sJSe3EJPJ4MG7uzLg2svc0YXzEr8ykSlT/ovdbufm4dfwwAPXuyz/+OOf+Cr2F8xmM7VqBTB1yl3UrRsGwKjRb7B58346dmjGv//9sDvCvyB8RzyKd3QnHIX55H0yDfuh3a4NvH3x/9vzmMLrgN1OccJqCubPAsAIjcD/3jEY/gFgMlEwfxbFW9e6oRciFVPtckLxO9NIOp7P0n91ZOLQZkyav+es7SbO38Okoc1Y+q+OJB3PZ+XONACenbeHJ/s3YuETHbi2TRgfrjgCwPcJxykstrPwiQ7E/r09c9cmc+RkfpX160L7ZM1irn/zCXeHcUHFb00lKSWHpS/EMPGONkz6PPGs7SbOSWTSndEsfSGGpJQcViYeL1l27GQeq7YdJ6qWX8lz73+3l9b1AlkwoRsv3Xs5L87dXul9+SviE4+TlJLL0ondmXh7GyZ9se2s7SZ+sY1JI9uwdGJ3klJyXfp/d5+GzB/flfnju9IjOhyAG66uU/LctHvaUi/Mv1olKExNO2IKjaLwvYco/u4dvK5/8KztbGu/oej9Ryj66ElM9VpjatKhiiP9a2w2O5PeXs2sydex6P1hLF6+jz1JaS5tYr/fSVCALz98fAt3D2nDjI/WuSx/6f21dL+yXpn3nj1tAN+8M8SjExRQeev+9+uTneP+s9cQO7YLc1ce4siJvCrp07koGfum9GTinW2Z9PnWs7ab+NkWJt3ZlqVTejrHvq2pJcuOncxjVWIqUbX8XV5jszuYMW8HXS+rXal9uBBsNjuTXl7EB6/fyeL/PsKiH7awZ1+KS5uoyGBefG4Ig/q1Pet7vPbeMq66omFVhHvebDY7k2bGMWv6UBZ9eg+Lf9rJnv0nXNrELt5KUKAfP3w5irtv6ciM9+IB+OrbBAC+/c/dfPTqcKa9tRy73QHAe7N/JSy0Bt9/cR+LP72Xq9uXHRs8RXxCCknWHJa+1IeJ97Rj0qcJZ203cXYCk+5tx9KX+pBkzWHlFud6Map/Uxa80Iv5k3rSs52FdxbuBCC4pg/jb4/mvuubVlVXzovNZmfS9B+YNeMWFs15gMU/bWPP/uMubaIig3jxmUEM6uuamPPz82LahBtY9Pn9zJo5ghdf/4nMrOq1f2uz2Zk06Qs+mPUIixc9x6LF69iz56hLm9at6zMvdhzfLnyWfv068Mr0r0uWjR51HS9Pu7eqw76gvKI7YY6oS/azd5D/2Qz8R559H7/wh7nkPHc3OZPvx9w0Gq82VwPgO/BOin5fTs6UB8j74AX8bnu8KsMXOWfVLkmxLPEkgztGYBgG7RsGkZlnIyWz0KVNSmYh2QU22jcMwjAMBneMIC7xJAAHUvO4qrHzAKxr81B+3Ooc5A3DIK/IRrHNQX6RHW+zQU0/c9V27gJauWcTJ3My3R3GBbVscwqDO9d1/u+bhJKZV0xKhuuGNiUjn+y8Yto3CXX+7zvXJW6TtWT5S19t559DW7qcXdxzLJtOrZzZ9iaRARw5kcvxzIKq6dQ5cPa/zqn+h5CZW0RKhmucKRkFZOfbaN8k5FT/6xC3OaWcdyxr8bpjDLjSs8+knsnU/GpsW5cD4Di6C3xrQs1Q10bFhTgOnjqwsxdjT94LgWFVG+hflLAzlQZRQdSPCsLH28yAHk2IW3PQpU3cmoPcdK3zTGC/7o1Zs+koDofzgOSn1QeoZwmkWcPQMu9dXVTWum8YBnmFNoptdvILbXh7mTxy3F+2yVo69jUNdfY//YyxLz2f7Pxi2jctZ+ybu41/Dm+NccZt3j9bdoC+HSMJC/Stiq6cl4TEwzSsX4v69Wrh4+3FwL5tiVuxw6VNvTqhtGoeienMjgJbtx/lxMlsrunk+WfNARK2J9Ogbgj164Q4v/t9WhL3i+uJmbiVe7jpeudBab+eLViz/iAOh4O9B07QuUMDAMJCaxAU4MfWHckAfL1ka8mMDJPJIDSkRhX26tws25jM4K71Tq37tcpf9/OKad+0lnPd71qPuA3Ovgb4e5e0yyuwwanVIizIl7ZNQvEyl11PPFHCtqM0qBdK/bqhznXh2tbErdzl0qZeVAgtm0VgmFz71LhBGI3q1wLAEh5IrdCanEzPrbLYL4SEhAM0bBBB/frh+Ph4MXDAVcTFuSasOnduib+/c4ZY+3aNSU4uTeZ36dKKmjU9f4z7I17trqHw1x8AsO3fDv41MYJquTYqKsC2a5Pzd1sxtoO7MUKdSXkcDgx/53fd8K+JPcM1ySXiaSqUpPjqq69cHttsNt56661KCejPWDMLiAwunaYaGexDyhkHlCmZBVhOa2MJ9sF6qk0zSw3itjkTFt8nHOdYujPBcV3bMPy9zcRMWUufF9dxX0w9Qmp4I57Dmp5P5GkzICJD/EhJO+N/n1aAJbS0jSXUD+upHZq4TVYsIX60OmOWQKt6gfy40bkzn7A/naMn87Gmed5ZBmt6AZGn9S0y1O+sO2uWkNINsSXED2t66d/o8+UHGTx5FeNnbyUjp6jMZ3y3PpkBV0ZWQvSVKLAWjszTNrZZJzACa5Xf3rcm5mZXYU86+xk5T2M9kUtUeM2Sx5G1a2A9kePSJuVEDlHhzsvevMwmAmv6kJ5ZQE5eEbP+m8DDd1xR5n0NA0aNW8rQR75h7pIdZZZ7kspa96/rYMHfx0zMmOX0GR/Pfdc2IqSmD57GmpZP5GkzIMrtv8vY518yjsVtSsYSWnbss6bl89PGZG7rUT1mFlhTs4i0lF7mYrEEYU2tWDLebrcz7bWlPP1Yv8oK74KzpmYTFVF62VZkeCDW49kubVKOl7bx8jIRWNOX9Iw8WjaLYNmqvRQX2zl8NIPEXVaOpWSVnEF//YNVDL3vUx579luOn3QdTzyJc7t/+rrvT8oZ2+eUtHwsp+0bWGr5l2z3AV6bt51eT/7At78e5u83tar8oCuBNTWbKEvp9zcyPBBratY5v0/CtqMUFdloULd6Ja2t1jQio0pjtkSGYLWmlds+NnYVMTHRVRFalTFCauM4WZp4d6Qfxwj9gxlw/jXxvrwLxTs2AFDw7Sd4d+pLwEv/pcYjL5H/5ZuVHfJFx2wYF+WPp6pQkuLXX3/l/vvvJyUlhd27d3PLLbeQk+O5G7U/MuXm5nyx5hjD3thIToENby/nP2fLoWzMJoMV46/mxzFX8nH8EQ6d8LwDVflr8gptvP/dXh69sXmZZfdf34Ss3CKGvPALn/2cROv6QZhMnvul/atujanPDy/EMH9cV8KDfXl53k6X5Zv3p+PnY/bIehwXjGHCe/CT2NYvhnTrn7ev5t76bAP3DI2mpn/ZhOucGYP4+u2bmDW5H3O+3c66LcfcEGHVKG/d33Igwznuv9STH1/ozsc/HeBQavU6w/hn8gpsvL9kL4/eWLbmwItzE/nH0FYX5Xh3pjmx64i5prlLkuNiNmxANJHhAQy//zOmvvkzV0TXwWwysNnsJKdkc0V0Hb7+6E7at4ni5bdXuDvcSvX4sNb8PPM6buhcj8/j9rs7HLdJOZ7NU5O+Zer4gRf1d37BwrVsTTzI6FF93R2K+5hM1Bj9LIU/f43juHPb7n11H4pWLyV7zC3kvjUG/3vHUmZqnYgHqVDhzBkzZrBkyRJuuOEGatSowfTp0+nYsWNlx1bi89VHif3NeUARXS+A5IzSyzuSMwqJCHKdwhUR5Iv1tDbWjEIsp9o0iajBh6Od2dX9qXms2OGcVbFoUyrdWobibTYRFuBDh0aBbD2cRf0wP8R9Pv85idhfDgEQ3SiY5NPqhCSn5xMResb/PtTXZRaENS0fS4gfh1JzOXwij5teWFXy/LDJq5g71nnQMvWeywFnka5rx6+gfm3X67bd5fPlB4lddRiA6IZBJJ/Wt+S0fCJCXNfPiDPOHltPO7tc+7Tvyc3d6vHg2xtcXrvk92QGVpNLPUwd+mNufx0AjmO7MYJq4/jfwsAwHFknz/o6r/7/hz3tGLZ131ZNoBeAJawGx1JLk8LJx3OxhNV0aRMRVpNjqdlEhtek2GYnK6eQkCBfEnak8v3KA7zywTqycgoxGeDrY+aOGy/DUtv5HmEh/lzbtSEJO49zVVvP+f9Xxbq/6LdjdGtT2znuB/nSoWkoWw9mUj/c/dPfP//5ALHxp8a+xsEknyytlVFu/13GvjwsoX4cSs3h8PFcbpq08tTz+QybvJK5465h64EM/jFrIwDp2YXEb03BbDK49grPnE1lCQ8k2ZpR8thqzcQSXrH6ORsTDrF+UxJfxK4jJ7eQomIbNfx9+Oej11VWuOfNEh7AsZTSs+XJqVlYarsWCo+o7WwTGRFIcbGdrJwCQoL9MQyDsX/vVdLu1ofm0Kh+LUKC/fH38+K6Hs6E/fW9WjBv8dlrnLjL53H7iV2RBEB045Az1v08IkLPWPdD/bCetm9gPZmHJaTsvtugLnX526treXRI9ZtNYQkP4Ji1dNZQcmoWlvCKn1DIzingwX/+l8cf6EH76LqVEWKlslhCST5WOnPCmpyOxVJ2Nsjq1dt5773v+OzTJ/Hxqf6zob173oRPt4EA2A7swKgVAXudy4yQ2jjSzn7Jht8d/8SWcoTCuHml73XNAHLfeMr5Xvu2YXj7YAQE48hKr9xOiPxFFUpSHDhwgNmzZ9OvXz/27t3LggULuOyyy/D3r5oDuZFd6zCyax0Alm8/yZzVxxjQrjabD2YR6GcmIsh1em5EkA8BvmY2JWXSrkEgC9anMPIa5873iexCwgJ8sNsdvLfsICM6O3fGokJ8WbsnncEdIsgttLH5YBZ3dat+A/nFZmSvhozs5ZyKvHxLCnN+TmLAVVFs3p9OoL8XEcFn7KwE+xHg78WmfWm0axzCgl+PMLJXQ1rUDWTV9D4l7fqMW07suK6EBviQmVuEn48ZHy8TX/1ymCubh7pcx+pOI3s2YGRP53XFy7ekMmf5QQZcGcnm/Rmn+n9GkibYlwA/M5v2pdOucTALfj3KyF7O16dkFJS0/3GTleZ1Snd27XYHS9cn89k/rq6inp0f+4bvsG/4DnAWzjR3HIB920qMOi2gIAdyyk4DNcfcDr41sS15u6rDPS9tW4aTdDSTw8lZRITVYMmKfUx/uqdLm96dG/DNT3u44jIL36/cT+d2zvoNn88ovXvBm59uoIa/N3fceBm5+UXY7Q4CaviQm1/Eqg1HeHhk2UtC3Kkq1v2oWn6s3XmCwZ3qkFtQzOb96dzV2zMufRjZqxEjezUCYHmC1Tn2XV2HzftOjX1nSVIE+HmxaW8a7ZqcGvt6N6JFvSBWzSw9o9hnzDJix3cjNNCHn17qXfL82I8207NdhMcmKADaXlaXAwdPcuhIGpaIQBb/uIUZL9xcodfOmDy85Pevv93I1u1HPDpBAdC2VSRJh9M5fDSDiPAAlsTtZPpzA1za9O7WlG+WJnJFdB2+X76Lzh0aOGut5BfhcEANf29WrTuAl9lEs8bOOjy9ujblt42H6NyxAWvWH6RpI8+qzzOyT2NG9mkMwPLNVubE7WdAp7ps3pdGoL/32dd9fy827T1JuyahLFh9uOT1B5KzaRTp/L4v25hMk6iyd4OrDtq2rkPS4TQOH00nIjyQJT9tZ/rzN1botYVFNh4ZM4/B/aNL7vhR3bRt25ADSSkcOnwcS0QIi5esY8b0US5ttm07yITnPueDWY8SFlZ9in//kaLl31C0/BsAvKI749PrJorXLcPcuDXk5eDILHtCxnfwfRj+Ncn/9BWX5x0nrXi16kDRmu8xRTYAbx8lKMSjVShJ8eCDDzJhwgS6du2Kw+Hg448/Zvjw4SxevLiy4yujR6tQ4nem0e/l9fj5mJh6c+n0/SGvbWT+484d7QlDmjL2v7spKLLTvWUoMS2dGdfFm1KZs8Y59alvdG2GXmkB4PYuUYz/aheDZmwAHAy50kLLKNezldXJnPsm0bNFB2oHhHBo6kKeWzSLj1ZXn7PHZ9MjOpz4Lan0e2aF81Zkd19esmzIC78w/9luAEy4rQ1j/5NAQaGN7tHhxJyq5F+evceyGftJAoZh0CwqgMl3nb0qvLv1iK5N/NZU+k1Yeeo2jKXXWw6Zspr547sCMOG2yxj7H+dtGLu3qU1MG+c1i9O/3smOw1kYBtSt5c/zI0srgP++J43IUD+POIN8rux712Nq2hGfB99z3oJ08Rsly7zve5Wij56AwDC8rrkF+/FDeN83EwDb+sXYN//krrArzMts4tn/68Ko8Uux2x0Mu64FzRuF8sbs9UQ3r03vLg0Zfn0Lnnp5Bdfd+1+CA32ZObbXH77nibQ8HpkUBzirpg/q1fSsd//wFJW17t/eowHjP93KoEm/gAOGdKlLy3qed7lTj7YRzrFv/PJTt18+beybuJL5z3UHYMLIaOctSIvsFRr7qhsvLzMTnhrI6L/PxmazM+zGDjRvGsHr78UR3boufXq0IiHxCI889QWZmXn8/MtO3vz3Mhb/91F3h/6XeHmZePaJ3oz6xzzsdjvDBkbTvHFt3vhgFdGtLPTu1ozhA9vy1OTvuO7WDwkO8mPm886zrifSchn9j3mYTAaW2gFMe6Y0ufGPh2J4evISpr7xM7VCajB1nOfW6ehxeQTxCVb6PR1XcgvS/xkyYTnzJ/UEYMKdlzP2w43O7X7bCGIujwBgZux29idnYzKgTlgNnj+135Cakc/NE+PJzivGZMDsH/exaEovjzlBcSYvLxPPPtmXUU98id3mYNigy2neJJw3ZsUT3SqK3t2bs2XbUR4Z+zWZWfn8/Mtu3vpwJYs+v5+lcdv5fdMh0jPzmL9kCwAvjh9E6xYWN/eq4ry8zEx4dgSjR72BzW5n2LCuNG9eh9ffWEh0dEP69G7Hy698TW5uAY897rzlZlRULd579/8AuH3kdPbtSyY3t4CYHmOYMvlOundv80cf6XGKt/6KV9tOBEz+DEdhAXn/mVayrOYzs8iZfD9GSG18B9yJ7VgSNce/D0Dhz/MpWrWE/Nh38bvjn/j0uRlwkPfJtHI+Scpjvogvk/JEhuN/JeD/QHZ2NgEBrtnn/fv307hx4z/9APs3o/60zcXK/P3Zb5F5qbCN6OzuENzLbnd3BG5VtPbgnze6iPnc2tXdIbiNY/9hd4fgXl4Vyv9ftEztO7k7BLdy5Gf8eaOLlGPPbneH4FZGy+p14HuhGbU8Yyaau2Q+OMndIbhV0L9/dncIlarJh8PcHUKl2Ddq3p83coMKFc7Mz89n3LhxjBrlTDjs2bOH33//vVIDExEREREREZFLS4WSFGPGjKFbt26kpqYC0KhRI2bPnl2pgYmIiIiIiIjIpaVCSYq0tDQGDBiAyeRs7uXlVfK7iIiIiIiIyMXKbBgX5Y+nqlCmoUaNGqSlpWGc6simTZsIDPS84mIiIiIiIiIiUn1VqLrXmDFjeOihhzh48CC33noraWlpvP7665Udm4iIiIiIiIhcQiqUpDh48CAffPABx44d4/vvvychIQGbzVbZsYmIiIiIiIjIJaRCl3u88847BAQEkJGRwdq1a7n99tt5/vnnKzk0EREREREREbmUVChJYTabAVixYgW33HILPXv2pKioqFIDExEREREREXE3s+ni/PFUFQrNYrEwYcIElixZQo8ePSgsLMRut1d2bCIiIiIiIiJyCalQkuK1116jW7dufPjhhwQFBZGens5TTz1V2bGJiIiIiIiIyCWkQoUz/f39ue6660oeR0REEBERUWlBiYiIiIiIiMilp0JJChEREREREZFLkdkw3B3CJcWDy2WIiIiIiIiIyKVESQoRERERERERKSM+Pp5+/frRt29f3n///TLLjx49yp133slNN93EDTfcwIoVK877M3W5h4iIiIiIiIi4sNlsTJo0iY8//hiLxcLw4cPp3bs3zZo1K2nz7rvv0r9/f26//Xb27NnDAw88wLJly87rc5WkEBERERERESnHpVqTIiEhgYYNG1K/fn0ABg4cSFxcnEuSwjAMsrOzAcjKyrogN9hQkkJERERERETkEjN37lzmzp1b8njEiBGMGDGi5LHVaiUyMrLkscViISEhweU9HnnkEUaNGsVnn31GXl4eH3/88XnHpSSFiIiIiIiIyCXmzKTEX7F48WKGDBnCfffdx8aNG3nqqadYtGgRJtNfL3+pwpkiIiIiIiIi4sJisZCcnFzy2Gq1YrFYXNrExsbSv39/AK644goKCgpIS0s7r89VkkJERERERESkHGaTcVH+/Jm2bdty4MABDh06RGFhIYsXL6Z3794ubaKiolizZg0Ae/fupaCggFq1ap3X31uXe4iIiIiIiIiICy8vLyZMmMDo0aOx2WwMGzaM5s2b8/rrrxMdHU2fPn0YM2YMzzzzDJ988gmGYfDSSy9hnGehUSUpRERERERERKSMHj160KNHD5fnHnvssZLfmzVrxpdffnlBP1OXe4iIiIiIiIiIR9BMChEREREREZFymM/v6gU5R5pJISIiIiIiIiIeQUkKEREREREREfEISlKIiIiIiIiIiEdQkkJEREREREREPIIKZ4qIiIiIiIiUw2xS5cyqpJkUIiIiIiIiIuIRlKQQEREREREREY+gJIWIiIiIiIiIeATVpBAREREREREph9lQTYqqVPlJihp+lf4Rnso2pCP4eLs7DLcxz/3V3SG4lf2poe4Owa28C4vcHYJ71QxxdwRuYzR0uDsEtzpRt667Q3Cr9F4vuDsEt2o4qq27Q3Abr6H93R2CWxX9Z4G7Q3Arw+/SPveZ8Hx3d4fgVt3cHYBcVHS5R2W6hBMUIiIiIiIiIudKSQoRERERERER8QiX9rwsERERERERkT9gNqkmRVXSTAoRERERERER8QhKUoiIiIiIiIiIR1CSQkREREREREQ8gmpSiIiIiIiIiJTDrJIUVUozKURERERERETEIyhJISIiIiIiIiIeQUkKEREREREREfEISlKIiIiIiIiIiEdQ4UwRERERERGRcphNqpxZlTSTQkREREREREQ8gpIUIiIiIiIiIuIRlKQQEREREREREY+gmhQiIiIiIiIi5TAbqklRlTSTQkREREREREQ8gpIUIiIiIiIiIuIRlKQQEREREREREY+gmhQiIiIiIiIi5VBNiqqlmRQiIiIiIiIi4hGUpBARERERERERj6AkhYiIiIiIiIh4BNWkEBERERERESmHWaf2q5T+3CIiIiIiIiLiEZSkEBERERERERGPoCSFiIiIiIiIiHgEJSlERERERERExCOocKaIiIiIiIhIOcyG4e4QLimaSSEiIiIiIiIiHkFJChERERERERHxCEpSiIiIiIiIiIhHUE0KERERERERkXKYTapJUZU0k0JEREREREREPEK1m0nhcDiYOm8X8YnH8fMxM/WOy2hTP6hMu8SDmYz9LJGCIjsxbWozblgLjFNVWT9bcZA58YcxmQx6tKnNv25qTmGxnee/3M7Wg5mYDINxw1twdfNaVd29P+RwOJg6dzvxW1Odfb+nLW0aBJdpl5iUwdhPEpx9/3/27js8inLt4/h3d9MgnZAGhF4ChCI2LBRDB1GaioIVD4ry2jjCARQFDVgAe8V2PAIiIIiUiISSgCAgvYUeSkgB0kPa7r5/LAbWJAJCshv4fa6L6yIzz+7eTzLP7Mw9z9wTEciY+5oW9x3g618P8dacPfw2pRP+Xm5k5BQy9tvtHE3Nxd3VyOsPtaBxTe+K7NoV9+WDY7mzxW2kZKXR4rVBjg7niojbeIyoT9ZhsVgY0L0JQ+9rZbe+oMDMqMmr2LnvJH4+HkwdfQe1Qs79HRNTsrlz6FyeHtyGIQNaAPDNjzuYEx2PwQCN6lZj0oh2uLs5527BarUy8cd9xO46hYerkYmDmtE8rOR2uvNoJqOn77Zt/80CGNOvEQaDgee/2cHhlFwAMs8U4VPFhXkjb+LnWu46UgAAIABJREFUjUl8tfxI8evjE7OZ++8baVrLecZA3O+HiHpvBRaLlQF3RjB08M126wsKihgVtYSd8Sm2v/34O6kV6ktBoZlX3v6VHfHJtv3as3dw83Vhdq8d9p95HEvM4OdvH6nAHl2auI3HiPpsna3/3Roz9N6/bPuFZkZNjmXn/pP4ebvbtv3gv2z7T/7I04OuY0j/FsXLzWYLA55dQFCAJ5+N71Jh/blS1q3Zz7tv/oLFYqV33+t4cMhtduvn/fAHP87agNFkpGoVN0aO60W9BoEOivbKqf78aKre2g5rXh4pr40lf+/uEm1C3/kUl4BAMJnI27qJ1Mmvg8WCW8MmBI18GUPVqhSdSCTplVFYc3Mc0It/xmq1Mmn5MeIOZuLhYiCqZ12aBVct0e69uOMs2HmazDwzG55rXbx8/o5TTFl5nCAvVwDubxPIgJbVKyz+yxG39gBR7y7FYrYy4K7WDH3oVrv1GzYfYdK7S4k/kMKUCX3pHtkUgN17k3j17WhycvIxGo08+cht9OzczBFduGymjo9hrNcGa2EB5qUfYE05VLLNrQ9gbNYB3D0p/GjwuRXe1XHp9n/gXhUMJsyrv8N6eFMFRn95rFYrk1YdJ+5QJh6uRqK61qZZUCnb/poTLNh9msx8Mxuebmm3LnpvGh+vS8KAgSaBHrzVo24FRX/5tv9+gpkfbsZqttKuV316DmpaaruNq47yySu/8fKnXagbXo2Du0/x7eSNAFixcvcjEbRpV6siQxf5RyrdTIrYXadISMkletytjB/YlAmz9pTabvysPUy4vxnR424lISWXuF2nAPh972litp1k/n/asnDsLTzWqQ4As387DsCCMbfw5fA2vDlvHxaLtWI6dZFid6SSkJJD9GvtGT+4OROm7yy13fgZO5nwYATRr7UnISWHuJ0ni9edOH2GNbtOElrNo3jZ50sO0LSWNz+Nu503Hm3JpFklD/gqm2/WLqL7B887Oowrxmy2MOGj35j2elcWft6fRSsPsj8hza7NnF/i8fFyZ+nX9/Jw3+ZM+WqD3fo3Pv+ddjec+2JKPpnD/37ayZwP7ubnz/pjsVhZtPJghfTnn4jddYqE1FyiX2rL+IHhTJgdX2q78T/EM2FgONEvtSUhNZe43acBeOeRCOaNvIl5I2+ia8tAOre0naz1viGkePmbg5tRq5qHUyUozGYLE6bGMG1yPxb+7xEWLYtn/6FTdm3mLNqBj7cHS78fwsP3Xs+UT2MBmP3zNgB+/u/DfPXOAN78cKXdfm3pqn1UreJWYX35J8xmCxM+Xsu0CV1Z+Gk/Fq06yP4jf9329+Lj5cbSL+/h4b4RTPlqo936N6att9v2//TtT7uoH+ZXrvGXF7PZwpSJ0Uz5+AGmzxvGsugdHDqQatema88I/jf3Sf77w1AeePQWPpj8q4OivXKq3tIO17DaHLmnJylvvErgyJdLbZc0dgRHH+rP0UF9MPn54xXZDYCg0eM5+cm7HB3cj+xVMfgPfrQiw79scYcyOZKWz+LHm/Fqtzq89uuRUtt1bODH94PDS13XPdyfuY80Ze4jTStNgsJstjBhSjTTpg5k4cwnWPTrTvYfst/eQ0N8mPRyb+7sEmG33MPDlTfH3cXCGU8w7Z2BTHp3KZlZeRUZ/hVhqNsGg18ohV8Px7zsE0yRQ0ttZzm4gcKZo0osN908AMve3yia/iJFi6fiEvmvco74yoo7nGXb9h9pyqudwngt5lip7TrW9+H7+xuXWJ6Qls8XG1L4372N+OmhcEZ1qFneIV8xFrOF6e/9wfNvtue1/3bn9+UJJB7OKNHuTG4hy+buo37TcxdZa9bz5eXPuvDql914/q0OfDtlI+YiS0WGL/KPVLokxfLtqdx9UygGg4HW9XzJPFNESka+XZuUjHyy84poXc8Xg8HA3TeFErPd9mX2/epj/KtLHdxcbV0P8LYdoB9IyuHmxtWKl/lUcWHHkcwK7NmFLd+awt1ta9r6Xt//bN/tv2hTMvLIPlNE6/r+tr63rUnMluTi9W/M3s2/+zWxm1mx/0Q2N4cHAFA/xIvjp3I5mWn/O61s4vZv4XSOc/39Lse2+FRqh/oQFuqDm6uJnh3qE7PW/uA0Zu0R+nRuCEC3dvVYuyURq9V2Qrrst8PUCvamYR1/u9eYzVbyCswUmS2cyS8iKKDkVQlnsXzHSe6+McS2/df9u7FvpnXds2P/xpDisf8nq9VK9JYUerUJLvEZi/5Ipmcpyx1p2+4katf0I6yGn+1v36kJMav327WJidtPn+7NAejWsTFr/ziC1WrlwOFTtG1TG4AA/6r4eHmwY08SADm5BXwzayPDHmpbsR26RNv2nqR2jfO2/falbPvrjtCncyMAut1el7Vbz9/2E6gV4kXD2vbJiKSTOazacJR7upU8mK0Mdu9IpFaYPzVr+ePqaqJT9+bErbRP3Hl6uRf/P+9MIVfDI949299B1pIFAOTv3IbRyxtTQMkT7eLZESYXDK6ucHZ7cK1dh7zNtiTWmfVr8epYuWbQrNiXwV3Nq2EwGGhVw5OsPDOp2YUl2rWq4Ung2dkSV4NtuxKpXasaYTX9bfuBzs2Iid1r16ZWqB9NGgZj+Mt94/VqB1A3zHZ8FxzoTTV/T06n51ZY7FeKscGNWHavAsCatA+Duyd4lkyyWpP2QU56yTewWsGtCgAG96pYc06Xa7xX2ooDGdzV9Oy2H+pJVoGZ1JxStv1QTwI9S277c3acYmCr6vh62GaLBlStPOPj4J7TBNX0JrCGFy6uJm6KrM3mNcdLtJv/5XZ63B+Oq5upeJm7hwsmF9s5T2GB+ar4HnAUk8FwVf5zVhedpCgoKGDPnj3Ex8dTUFBQnjH9reT0fEL8z80CCPFzL/VEJdjvXJtgP3eS021tDqfk8seBdO6bvJ4H39vI9gRbJjK8phcrtqdSZLZw7OQZdh7NIinduTLtyel5hFQ7v+8epKT9pe9p+QSf9/sJ9vcg+Ww/YrYkE+znQfhfbo8Jr+XNr5ttiYxth9JJPJ1Hcppz9f1al3wql9BAz+KfQ6pXJfmU/RTllFM5hAZ6AeBiMuLt6UZ6Zj45ZwqZ9sM2nh58nV374OqePDYggsgHv6fdAzPx9nTj9uuddwpgcno+IeeN6xDfssb+uROzYD+P4rH/p40H0gnwdqNuKdNEl2x2viRFcmo2oUHnZnaEBHqTfDLbrk3KyXNtXFyMeHu6k55xhiYNg1i+5gBFRRaOJWawc28yJ1KyAHj/izU8OvAGPDyc8/aePyWfyiG0+vnbvifJp+xPMGzbvq2Ni8mId9Xztv0523j6AfttH2DiZ7/z78duLHFCU1mkpmQSFHJuXx4U5ENqclaJdnO/38A9vT7k43dieG5Ut4oMsVy4BAZTlJxU/HNRajIugaWP2RrvfEa9xauw5OaQvWIpAAWHDuDZPhIAr8iuuASFlH/QV1BydgEh3udmPwV7u5GcfWnHZL/uTaPv17t4/qeDnMh03PHcpUhOzbLfDwb5kJxacnu/kG07j1NYaKZ2Tf8LN3YyBq9qWLPOzYy1Zp/C4BVw0a83r5uFsWl7XB//HJc+YzGv+LI8wiw3yTmFhHifSywEe7mSXEqCriwJaXkkpOUzeNY+Hvh+L6sPV54LWempZ6gWWKX4Z//AqqSnnrFrk7D3NKdTz9DqlholXn9w1ylefmQJrzz6Cw++cENx0kLEmV3UVrpy5Uq6dOlCVFQUr732Gl27dmXVqlXlHVu5KLJYycgt5PsRN/Li3Y14/qvtWK1W+rWtQbCfO/e8vZ5JP8bTup4vRifOLl2qMwVmPl9ygP+7q1GJdf/qXp+s3EL6vraa71Yk0DTMB2MlPXCXkj78bhOP9IvAs4r9VYOMrHxi1h5h2Tf3Ejv9fs7kFbIgZn8Z73L1WLSp9FkUWw9n4OFmonENLwdEVT7694wgJNCLAf/6jokfrOC6iBqYjAZ270vhSGI6XdqX3B9cTT6cvplH+jQvse2v+P0IAX4eRDSqHFPdL0f/gTcye9Fwhj0XyTfTVjs6nAqV+PwTHO59BwZXN6pcb6vjkhL1Mr79BlLr61kYqnpiLbr4k5yrQccGviwdGsG8R5txSx1vxi457OiQKkzKySxGTljAxJd6X5PHOMYm7bDsXEHhF0Mpmh+FS/dngGvn91BkhYT0fL4e0JC3etThlWVHycwrcnRYV4TFYmXWR1u4b1jrUtfXbxbAa9/04KXPurB4+m4K880VHKHIpbuoS2hvvPEG3377LXXq2Oo3HDlyhKFDh9KhQ4dyDe5P02OPMudszYiI2j4knXeVPyk9nyBfd7v2Qb7uxbMHwHYF9s+rqyF+HnRpFYTBYKBlXV+MRgNp2YVU83ZjdP8mxa+5f+qGUq+0VrTpKxKYs/ooABF1fUk6fX7f8wjy/0vf/d3tZkEkp+UR7OfB0dRcjp06Q5/X1hQv7//6GmaNvpVAX3cmPmIrLmS1Wuk8dhVh1asgziM4oConUs/NnEg6mUtwgKddm6AAT06kZhMS6EmR2UJWTgF+Pu5s25PKL3GHefuLDWTlFGA0gLubiep+VagV7E01P9vfusttddm8O5m7OjWs0L79nelxx5izNhGAiNredrObkjLKGvvnZk4kp+fZzawoMltYtjWFOS/eWOKzFpeRvHC04ECv4tkPAEmpWQRXt0+kBFW3tQkJ8qaoyEJWTj5+vlUwGAyMfuaO4nYDh82gblg1Nmw5yo49yUTeMw2z2cLptFwe/L9Z/O+D+yqsXxcrOMCTEyfP3/ZzCP7LbUm2bT+HkOpnt/3cs9t+fCq/rD7M219ttNv2k0/msnzdEVZtOEZBoZns3AJefHsVb79YMd9pV0JgkA8pSeeuBKakZBIYXHYtlc7dI5gctaQiQrvifPsPxOeuAQDk7d6BS/C52Q8ugcEUpSaX9VKsBQXkxK3As/0dnNmwlsKEQyQ+Z7uX3zWsDp63tS/f4K+AmZtSmbPNdgU9IrQqSVnnZj8kZxUQ7HXxdWX8qpw77OvfsjpTV5WcMu6MggO97feDKZkEB1587aDsnHyeHDGL557oSOuIylOLwNiqO8aIzgBYk/dj8K7On1WFDF4BWLNPlf3iv75XRCeKfnzN9l4n9oKLG1TxhjPOO6Ng5tZU5my39TEipCpJWeeSisnZhQRfwi1NwV6utAypiqvJQC1fd+r6u5OQXkCLEOeeTQjgF1iF0+fNnEhLzcXvvJkVebmFHD+UwVvPLQcg43Qe74+N45modtQNP1efokYdH9yruHD8UIbdchFndFEj09PTszhBARAWFoanp+ffvOLKGtQ+jEHtbRXpV+44yYzYo/S8PpithzPx9nAp9UTFy8OFLYcyaFXXh5/Wn2BQB9vrO7UM5Pd9adzcuBqHUnIoLLLg7+XKmQIzVitUdTexZs8pTEYDDUMdf0V10B11GHSH7Xe/cnsKM1Yk0PPGULYeSse7igtBvh527YN8PfCq4sKWg2m0qufHT+uOM+iOOjSu6c2ayZ2K23Uas5I5Y27F38uNzNxCPNxMuLkYmb36GDc08serSuW5V+9a0KJJIAmJmRxLyiIooCqLVx1k8qiOdm0i29Zm/rL9XNcsmF/iDtG2VQ0MBgPTp9xZ3OaD/22iahVXBt/VjK17Uti6J4UzeUV4uJtYuyXR6a4sD2pXi0Fnq1Cv3HmSGXHH6NkmmK0JmXh7mMoY+ya2HM6gVR0fftqQVPx6gLV706gX7Gl32wjYrkJEb0nmu2euL/9OXaIW4SEkHEvnWGIGQYFeLI6JZ/IrPe3aRN7egPnRO7kuoga/rNxL2za1MRgMnMkrtO3XqriyZsNhXExGGtYLoGG9AO7va7vicuxEBsNGzXPKBAVAi8bVSUjMOLftxx5k8siOdm0ibw5j/rJ9XNc0iF9WH6ZtS1vdoulv9ypu88F3Z7f93raq/iMevQGA37ed4Ku5OypVggIgvHkNjh05TeKxNAKDfYiJ3skrk/ratTmacIqwOrbp4L/F7qNW7cp5UJox93sy5n4PQNVb2+M74H6yf12Ce/OWWHKyMZ86adfeUKUKxqqetuUmE1VvbU/e1j8AMPlXw5x2GgwG/B99gox5P1R4fy7V/W0Cub+NrdDvqgMZzNycSo9wf7adyMXL3XRJtSdSswuL26/Yn0H9AI8LvMI5tGhag4SjpzmWmE5QoDeLl+1i8vg+F/XagkIzw0fN4e4eLYuf+FFZWLZGY9kaDYChXhtMrXpgiV+NIaQR1oLc0mtPlCUzFWPtllh2rYBqNcHk6tQJCoD7WwVyf6uz2/6hDGZuOUmPJn5sS8rFy81Uau2JsnRq4Mvi+DT6Ng8g7UwRh9PyCfN17sLRf6rXpBrJx7JIPZGNf/UqrF9+hKEv3VK8vqqXG+8tOLf/f+vZ5dw7rDV1w6uReiKbaoFVMbkYOZmUw4kjmQSEVNw53NXEpLtkKtRFJSkiIiL417/+RY8ePTAYDERHR9OiRQuWLrXd49m1a9dyDfJ8HZoHELvrJN0m/GZ7DOHg5sXr+r6xjnn/sRWBG3dfePEjSNs1DaB9M9uBWr+2NXhp+i56T1yLq8nIpMHNMRgMnM4q4PGPN2M02E7033yoeamf70gdIgKJ3Z5Kt5dW2R5B+vC5Ryv1fW01816+HYBx9zdn9H+3kV9gpl1EIO0j/v6RcwdOZDP6m20YDLbEzOsPtfjb9pXBjMcm0LFxG6p7+XF04gJeWTiNr3772dFh/WMuJiMvP3ULQ8ZGY7FY6d+1MY3q+vP+t38Q0ag6kbfUYUD3xox8axVdH/0B37OPYfw7rcKD6NquHv2Gz8fFZKBpgwDu61F6NXhn0KFZALG7TtHttbW27f+Bcwebfd9az7yRNwEw7p4mZx9BaqZds3NjH2DxpuRSZ0tsPJBOiJ+HU84gcnEx8vLzkQwZMReLxUL/XhE0qled979YQ0R4MJG3N2RArxaMfH0JXQd+ia+PB1NftZ2cn0rL5fERczEaDQRX9+LNl3pe4NOcj4vJyMvDbmHIS7+c3fYb0aiOP+//b5Nt229bmwHdGjNycixdh8y2bft/SeBdjVxcjDw/ujsvDJuB2WLlzj6tqN8wiGkfrSS8eSjtOjZh7vcb2bDuIC6uJry9PXjptbscHfZly/0tlqq3tqPO7CVY8s+Q8vq5p3uE/XcORx8egNGjKqFvfYjBzQ0MBs5sWl+cjPDq0hPf/gMByFm5jKyF8xzSj3+qfX0f4g5m0GPaTqq4Gnmtx7kLSP2/2c3cR2z7xSkrj7F4dxp5hRY6fbKdfi0DePq2Gny3KYWV+zMwGQ34eph4vZI8gtHFxcjLI7ox5LmZtv3gna1oVD+Q9z9fRUTTUCLbNWb7rkSG/2cOmVl5rFi9jw+/iGXhjCeIjtnFxi1HSM/MZd7irQBMeqk3TRtXrnok1kObsNZtg+ujH2Etyse89KPidS6DJlM0/d8AmNo9iLFJO3B1x/Xxz7HsWIZ53Q8Uxf4Xly7DMLa5E6xWin750FFd+Ufa1/Uh7lAWPb7ZTRUXI691rV28rv93e5h79mk2U+ISWRx/dtv/Yif9mlfj6VtCua2ON78lZHHXt7sxGQyMaFfDbmaRMzO5GBn0bBveeXEVFouV23vUp2Y9X+Z/tZ26TarR+rayZwft236SJTN2YzIZMRhh8HPX4+3nXmZ7EWdhsP5ZAv1vjB49+m/XT5o0qcx1lqVPX3pUVwu3a3s2gmnWOkeH4FCWkf0cHYJDWeNLPr/9WmJoU7JY4zUjK+3Cba5ip2pWnunk5SH9jjccHYJD1RlS+RP9/5RLvx6ODsGhCv/7k6NDcCiDkxdiLm+/92ly4UZXsdtDJzg6hHI1cMkjjg6hXHzf4xtHh1Cqi9qbWCwWxo4di4+PrZJ4RkYGb7zxxt8mJ0RERERERERELsVF3V0THx9fnKAA8PX1Zffu3eUWlIiIiIiIiIhcey56JkVGRga+vr4ApKenYzbr8TUiIiIiIiJydTMZrp1H9jqDi0pSPPbYY9x33310794dgOjoaJ588slyDUxEREREREREri0XlaTo06cPERERrFtnK4T44Ycf0rBhw3INTERERERERESuLRddhrdhw4ZKTIiIiIiIiIhIubm2nxUkIiIiIiIi8jdMRtWkqEgX9XQPEREREREREZHypiSFiIiIiIiIiDgFJSlERERERERExCmoJoWIiIiIiIhIGUwG1aSoSJpJISIiIiIiIiJOQUkKEREREREREXEKSlKIiIiIiIiIiFNQTQoRERERERGRMph0ab9C6dctIiIiIiIiIk5BSQoRERERERERcQpKUoiIiIiIiIiIU1CSQkREREREREScggpnioiIiIiIiJTBZDA4OoRrimZSiIiIiIiIiIhTUJJCRERERERERJyCkhQiIiIiIiIi4hRUk0JERERERESkDCaVpKhQmkkhIiIiIiIiIk5BSQoRERERERERcQpKUoiIiIiIiIiIU1BNChEREREREZEyGA0qSlGRNJNCRERERERERJyCkhQiIiIiIiIi4hSUpBARERERERERp6CaFCIiIiIiIiJlMKkkRYXSTAoRERERERERcQpKUoiIiIiIiIiIUyj32z0yOrQv749wWr5r1jg6BIeyjOzn6BAcyvjWj44OwaEsUU85OgSHMngGODoEhzGv+s3RIThUtePJjg7BoQJ+eNzRITiUoUZzR4fgMOY53zk6BIdyHdzD0SE41plMR0fgUG2XbHR0CI71mKMDkKuJZlKIiIiIiIiIiFNQ4UwRERERERGRMhhVOLNCaSaFiIiIiIiIiDgFJSlERERERERExCkoSSEiIiIiIiIiTkE1KURERERERETKYFJNigqlmRQiIiIiIiIi4hSUpBARERERERERp6AkhYiIiIiIiIg4BdWkEBERERERESmD0aiiFBVJMylERERERERExCkoSSEiIiIiIiIiTkFJChERERERERFxCqpJISIiIiIiIlIGk0pSVCjNpBARERERERERp6AkhYiIiIiIiIg4BSUpRERERERERMQpKEkhIiIiIiIiIk5BhTNFREREREREymBU4cwKpZkUIiIiIiIiIuIUlKQQEREREREREaegJIWIiIiIiIiIOAXVpBAREREREREpg0k1KSqUZlKIiIiIiIiIiFNQkkJEREREREREnIKSFCIiIiIiIiLiFFSTQkRERERERKQMRoOKUlQkzaQQEREREREREaegJIWIiIiIiIiIOAUlKURERERERETEKagmhYiIiIiIiEgZTCpJUaE0k0JEREREREREnIKSFCIiIiIiIiLiFJSkEBERERERERGnUKlrUqxdvY933lyMxWLlrn5teGhIe7v1M75dw4IfN2EyGfH3r8rYCX0JreEHwAdTf+G3uL1YLFZuuqUBL4zqicHJn39rtVqZ+MMeYnem4uFmYuJDLWhe26dEu50JGYz+dgf5hWbaNw9kzL3hGAwGPly4n9mrj1HN2w2A5+5uRIeIQH5en8hXvx4ufn388Szmjr6FpmEl39uR4jYeI+qTdVgsFgZ0b8LQ+1rZrS8oMDNq8ip27juJn48HU0ffQa0Q7+L1iSnZ3Dl0Lk8PbsOQAS0A+ObHHcyJjsdggEZ1qzFpRDvc3Sr1sODLB8dyZ4vbSMlKo8VrgxwdTrmIW3uAqHeXYjFbGXBXa4Y+dKvd+g2bjzDp3aXEH0hhyoS+dI9sCsDuvUm8+nY0OTn5GI1GnnzkNnp2buaILlyW2NW7iXpzPhaLhXv6tWXokE526zdsPMDEt+YTv+8EU998kO5dz42Vt6b+zKq4XVgsVm67pTFjR/V1+n3f+axWKxMXHSZ2bxpVXE1M7N+AZjW8SrR799cjLNicSkZeEX+Mu7l4+cZDmUxafJi9yTlMvrcx3SICKjL8f8RqtTLx+13Ebk+x7fsfbUXzOr4l2u1MyGD011vJLzDTvkUQYwY2s/vbfr30IG/N3s1vU7vg7+3Gl78cYOG6RACKLBYOnshmzTtd8PN0q7C+XYy49UeI+ng1FouVAT2aMvT+NnbrCwrMjHozhp37Um37/pe6UCvE9v0Vf/AU495ZRU5uAQaDgTkf98fdzYWFy/fx2YxNGAwQFODJ26M74e9bxRHduySxcbuImjQHi9nCPQNuZei/utqt37BxPxMnzSF+byJTJz9K927XFa97e8p8Vq3aCcBTw7rTs8f1FRr75bJarUxcnEDsvrNjv28DmtXwLNHu3WVHWLDlpG3sv3RT8fJv1pxgzqYUXIwG/Ku68HrfBtT0c6/ILlwxcesOEfVejG1M3NmSoQ/ebLd+w5ajTHp/OfEHUpnyam+639HEQZFenrgNR4j6+LezYz+coQOvs1tfUGBm1FvLzx33je1cfNwXf/AU496NJSe30Db2P+qLxWLludeWceREJiajgTva1mHE4zeX9tFOx2q1MinmKLEHMqniaiSqZ12ahVQt0e692OMs2HGKjDwzG1+4rsT6pfFpPD//ILMeCicitOT4EXEWlXYmhdlsYfLEhbzzyYPMnD+cpUu2c+hAil2bJuGhfDPzCabPfZo7ujTnw3eWArBtyxG2bTnCd3OeZsaPw9m94zibNh52QC8uTezOkySk5BI9vh3jH2jOhJm7Sm03fuYuJgxqTvT4diSk5BK382Txuoc71WHe2FuZN/ZWOkQEAtD7phrFy958pAW1Aqo4XYLCbLYw4aPfmPZ6VxZ+3p9FKw+yPyHNrs2cX+Lx8XJn6df38nDf5kz5aoPd+jc+/512N9Qq/jn5ZA7/+2kncz64m58/64/FYmXRyoMV0p/y9M3aRXT/4HlHh1FuzGYLE6ZEM23qQBbOfIJFv+5k/6FUuzahIT5Merk3d3aJsFvu4eHKm+PuYuGMJ5j2zkAmvbuUzKy8igz/spnNFiZM/JEvPhnKovmjWLhkE/sPJNm1CQ31Z9Lr93NnD/swBuvyAAAgAElEQVSTuU1bDrFpyyEWzHmRhT+OZPuOo6zfeKAiw79ssXvTSTiVR/Tz1zG+T33GLzhUars7wv2ZNaxFieWhfm5M7N+AXi2rl3eoV0zsjlQSUnKIjurI+AdbMGH6jlLbjf9uOxMebEF0VEcSUnKI23FuXJw4fYY1O1MJrXbuRHxItwbMe6Ud815pxwv9wrmxcYDTJSjMZgsTPohj2sQ7WfjlQBat2M/+hNN2beYs2Y2PtztLvx3Ew/1bMmXaOgCKzBZenLSM8c+1Z+GXA/l2yt24mIwUmS1M/Hg13065iwXT7qNJ/QC+m1/679SZmM0WJrz+A1989hSLfn6JhYv/YP/+E3ZtQkP9mTTxQe7sdYPd8pWrdrBr11Hm//gffvj+33z5dQzZ2WcqMvzLFrsvnYRTZ4h+tjXj76rH+J9L/76+o4k/s56IKLG8aWhVZj8RwfynW9KteTWmLE0o75DLhdlsYcLUX5k2eQALv3uMRct2s//QSbs2ocE+TBrTgzs7N3VQlJfPNvbXMG1iTxZ+ce/Zsf+X477oPbbjvv/ez8P9WjDli/PG/hvLGf9sexZ+cS/fTumNi8l2yvPoPS1Z8tV9/PhJfzbtTCJ2/ZEK79s/EXcwk4TT+SwZ2pxXu9VmQhnbb8cGvnz/UOl/95x8M99tTKGlkhP/iNFwdf5zVpU2SbFrxzFq1a5GzVrVcHV1oUv3FsSu2GPX5vqb6uNRxXbAFdEyjJTkDAAMBijIL6Kw0ExhQRFFRRaqBZS8Eudslm9N4e62NTAYDLSu70dmbiEpGfl2bVIy8snOM9O6vh8Gg4G729YgZmtKGe9Y0qINJ+h5Q+iVDv2ybYtPpXaoD2GhPri5mujZoT4xa+2/WGLWHqFP54YAdGtXj7VbErFarQAs++0wtYK9aVjH3+41ZrOVvAIzRWYLZ/KLCAoomZWubOL2b+F0Tqajwyg323YlUrtWNcJq+tu2hc7NiInda9emVqgfTRoGY/jL3rde7QDqhlUDIDjQm2r+npxOz62w2K+EbTuOUKd2dcJqBeDm6kKv7tcRs8L+BKtWzWqEN66B8S/9NxgMZ/d9RRQUFFFYZKZ6gDeVyfLdp7m7dSAGg4FWYd5k5RWRmlVQol2rMG8CvUuecNf096BJiCfGSjR7ZPmWZO5uW9O272/gb9v3p9sn11LS88jOK6J1A/+z+/6axGxJLl7/xqxd/HtAU8rq9qL1ifS8qUZ5duMf2RafQu0avoTVOLvv79iQmDWH7drE/HaYPl1tV4q7tW/A2s3HsVqtrNl4lCb1AwhvYEtI+ft6YDIZsVqtWK2Qm1eE1WolO7eAoADnP2jftv2wbeyHVcfNzYVePdoQs3ybXZtaNQMIb1KzxNjfvz+JG25oiIuLiapV3WnSuCaxcbsrMvzLtnxP2l/GvvmSxv7N9X2p4mYCoGWYN8kZJV9bGWzbfYLatfwJq+l39jswnJjV++3a1Ar1pUnDoBLfgZWJbeyfd9zXsSExvx22a2Mb+40B6Na+Pms3J54d+8doUr8a4Q1sM+X8fWxjv4qHK21b1wTAzdVEs4bVSTqZU6H9+qeW70vnrogA2/Zf04usfDOp2YUl2rWq6UWgl2up7/F+XCJD2obg7lJ5twu5dlxSkiIjI4M9e/ZcuGEFSE3OIij43HTXoGAfUlPKPjH7ed4f3HJ7IwBatKrN9TfW485Ob9Or09vcfGtD6tUPLPeYL1dyej4h/h7FP4f4e5R6oBp83vTFYD8PktPPJTKmrzzC3a+vYey3O8jIKblzW/JHEj1vCCmH6C9P8qlcQgPPHUSGVK9K8in7L5aUUzmEBtqSTS4mI96ebqRn5pNzppBpP2zj6cH2096Cq3vy2IAIIh/8nnYPzMTb043br6+FOLfk1CxCg86dWIcE+ZCcmnXJ77Nt53EKC83Urul/4cZOJDk5g5Bgv+Kfg4P9SE7JuKjXXteqLjff2JDbO73K7Z1epd2t4TSoH1xeoZaLlKwCQnzPnYAE+7iRnFk5TzYuVnJaHiHnzYAoc99/3vdDsH8VktNsbWK2JBHs70F4GTPkzuSbWb0jla7XO+G+/2QOoUHn7fsDPUvZ92eXsu/P4/CxdAwGA0NGLaTfk7P5YtZmAFxdTLzybHvu+tcs2t/3LQcS0hjQI7ziOvUPJSdnEBJybn8VHOJ/0WM/PLwmcat3c+ZMAafTsvl9/V6SktIu/EInkpJ55cb+j3+k0K6R34UbOqHk1Gz778BAb5JTsx0YUflIPplbPK4BQqp7knzyYo778jh8PB0DBob8ZxH9hs3li1lbSrx/ZnY+K9YlcMt1Ncu3I1dISnYhIT7nbf/ebiSXkqQry66kXJKyCujQoOStgiLO6IJJigcffJDs7GzS09Pp27cvL7/8MpMmTaqI2K6YJQu3sntnIoMfuR2Ao0dOcfhQKgt+HcHPy/7NH+sPsuWPw44NsgIMbB/G0tfaM2/MrQT6uvPW3Hi79VsPpePhZqJxzcp1ZfVCPvxuE4/0i8Czin1mOSMrn5i1R1j2zb3ETr+fM3mFLIjZX8a7yNUk5WQWIycsYOJLvUtccbyaJRxJ5cChZFb9+gqxy15h3fp9bPyj8t/iJGU7k2/m88UH+L+7GpfZZsW2ZK5r6O90t3pcriKzlT92nGDymE5Mf7cPv64+xNpNxygsMvP9zzuZ9+k9xM56iMb1A/h85mZHh1uubr+tKR3aNWPgA1MY8e+vad2qHkZTpZ1Me1kWbE1lR2IOj93ufDOH5MooMlv5Y2cSk0dHMv2du/h1jW3sn1tvYcTEGB7sG0FYqHPd3lweLFYrby0/yshIXYiTyuOCFQKzsrLw8vJi9uzZ9OnTh2eeeYbevXtXRGx/KzDYu/j2DYCU5EwCg0ruaNavO8A301bxyVeP4Xa2IOKqmN1EtAyjalXbjINbbm/E9q1HaX193QqJ/VJMX3mEOWtsO9aIOj4kpZ27epaUlkeQn4dd+6C/zJxIPm9mRXWfczMs7rm9Fk9+tMnutYs3JtHLCW/1AAgOqMqJ1HMZ9KSTuQT/ZXpuUIAnJ1KzCQn0pMhsISunAD8fd7btSeWXuMO8/cUGsnIKMBrA3c1Edb8q1Ar2ppqf7Qpll9vqsnl3Mnd1alihfZNLExzozYmUczMnklIyCQ68+MRadk4+T46YxXNPdKR1ROW4gnK+4GBfkpLTi39OTk4nOOjiroz8GrOdVi3r4Hl239fu9nA2bz3MDdfXL5dYr5QZ65KYvdF260KLml4knTdNOzmzgGCfq+vkGmD6isPMiT0KQEQ9X5JOn6sfUOa+/7zvh+S0MwT7e3A0NYdjJ3PpMyHu7PI8+r8ex6wxtxHoa3uPxesT6eWEt3qAbcbbiZTz9v2pOaXs+73O7vu9ztv3exAS6MkNLUKLC2J2uLk2u/al4lXVtr3UrmEbNz06NGDa986fpAgO9rWb/ZCclHbRYx9g2JPdGfZkdwBGvPg19eoEXfEYr7QZvycx+w/bLatXYuz/diCDz1cd57+PNcfNpXImaYIDvey/A1OzCA50/luWL1Vw9aqcOG+GSNLJHIKrl3Xc95exX/0vY/+m2uzaf5Jb2thO0se9E0udmr483K9lxXXoH5ixKYU5W231RiJCPEk6b+ZQclYBwaXc1lSanAIL+06e4ZEZtltjT+YUMvzHA3zYr4GKZ14CUyW6TfRKi42NJSoqylaw/Z57GDp0aIk2ixcv5sMPP8RgMBAeHs6UKVMu6zMvuIc2m82kpKSwZMkSOnbseFkfdiU1bV6TowmnSTyWRmFhEb9Gb6ddR/vpmvG7T/DmhAW8/f4gu5oTwaG+bNp4mKIiM0WFZjZvPExdJ73dY1DH2sVFLTu1Cuandbb77bYcTMe7igtBvvaVqYN83fHyMLHlYDpWq5Wf1iUS2cp2IHJ+/YpftyTT6LyK+BaLlWgnvdUDoEWTQBISMzmWlEVBoZnFqw4S2ba2XZvItrWZv8w2E+KXuEO0bWWr3zF9yp0s//Y+ln97Hw/1ac7Qga0ZfFczQoM82bonhTNn70teuyWR+mGVc/rntaRF0xokHD3NscR027awbBeR7cq+Sny+gkIzw0fN4e4eLYuf+FHZtGgexuGEVI4eO0VBYRGLojcT2bFkkbjS1Aj1Z8PGAxQVmSksNLNh48FKcbvHA21DmDe8FfOGt6JTs2r8tCUVq9XK1qNZeLubSr3/vLIbdEfd4qKWnVoH89M6W52FLQfSbPv+UpIUXh4ubDmQdnbff5zI1sE0ruXDmqldiHkjkpg3Ign292DuS+2KExRZuYVs3HuayNbOuR20aBJEwvF0jp3ItI33lfuJvLWuXZvIW+syf6ltZuAvsQdo29pWv+P2G2qz79BpzuQVUmS2sGFrIg3qVCOouicHEtI4nW5L/Pz2xzHq13b+275aRNQ5O/ZPUlBQxKIlm4i84+JOssxmC2npthO+PfHHiY9P5LbbnP8WlwduDmHeUy2Z91RLOoX72499j0sb+7tO5DB+wUE+HNSEgDLu2a8MWoSHknA07bzvwD1E3nb1XVyxjf0M+7F/Sx27NpG31GH+UtuJ9y+xB2nbusbZsR9mP/a3naDB2Zpk7369nqycAsYMu7XEZzqbB9oE8eOjzfjx0WZ0auzHgh2nbNv/8Wy83E1l1p74K293E2ueac2vw1rw67AWtKrhqQSFXDSz2cyECRP44osvWLRoEQsXLmT/fvuZ54cPH+bzzz9n5syZLFq0iDFjxlz2515wJsVTTz3FkCFDaNOmDS1btuTo0aPUrVv3sj/4crm4mPj3mF48O+xbLGYLd/ZpQ/2GQXz+UQzhzWrS/o5wPpj6C7m5BYz99ywAgkN8mfzBICK7NOeP9YcY1P8jDAYDbW9rWCLB4Yw6RFQndkcq3cbFnX0E6bkTk75RvzFvrG2HO+7+Zoz+r+0RpO2aV6d9c1vRsMk/xrPnWBYGA9SsVoVXBzUvfv3G/WmE+HsQFuichSNdTEZefuoWhoyNxmKx0r9rYxrV9ef9b/8golF1Im+pw4DujRn51iq6PvoDvt7uTB19x9++Z6vwILq2q0e/4fNxMRlo2iCA+yrBfckXMuOxCXRs3IbqXn4cnbiAVxZO46vffnZ0WFeMi4uRl0d0Y8hzM7FYLPS/sxWN6gfy/ueriGgaSmS7xmzflcjw/8whMyuPFav38eEXsSyc8QTRMbvYuOUI6Zm5zFu8FYBJL/WmaWPnTM6VxsXFxLgx/Xh82OeYzRb697mJRg1DeO+jJUQ0C6PTHRFs23GE4c99TWbmGVas2skHn0SzaN4ounVpxbr1++jd/20MBgPtbgsnsmPzC3+oE2nf2I/YvWl0n7oZDzcjUf3OHZz3/XAr84bbHrc6OTqBRdtOkldo4Y63/qD/9UEM7xTG9mPZPDMjnswzRazYk8aHy4/y8zOtHdWdi9KhRRCx21PpNnalbd//yLkT077j45j3SjsAxg2KsD2CtNBCu4hA2kdcOPm+bHMStzavTlV353z0sovJyMv/144h/1lo2/d3D6dR3Wq8/816IhoHEnlrPQb0CGfkGzF0fWg6vt4eTB3bBQBfb3ceGdCKe56ei8EA7W+qQ8e2tpOcpx+8gcEvzMfFZKRGsDeTXox0ZDcviouLiXFj7+Xxf32E2WKlf9+2NGoUynsfLCSieW06RbZk2/YEhj8zjczMXFas2M4HHy5i0c8vUVRkZtDgdwHw8vLg7TcfxsXF5OAeXZr2jf2I3ZdO93e34OFqJKpvg+J1fT/exrynbONi8i8JLNp+yjb2J2+if5tAhkeGMfmXBHILLDw/ax8ANXzd+WhQ5Xs0p4uLkZdf6MyQF+bYvgN7taBR/eq8/8VqIsJDiLy9Idt3n2D4mPlkZuWzYs0BPvxyDQu/e8zRoV8SF5ORl4ffzpDRi21jv1uTs2N/w9mxX/fs2F9B14dn2o77xnYGzo79/i24Z/i8s2O/Nh1vrkNSajafzthM/TA/+g2bC8Cgu5tzT0/nv2jRvr4PsQcy6PH5DjxcjLzes27xun5f7+LHR22PU5+84hiLd50mr9BC5Efb6N+qOk/r1ia5DNu2baNOnTqEhYUB0KtXL2JiYmjY8Nzx1w8//MCgQYPw9bXN7gsIuPzHuxusfz7+oJyk5c8qz7d3ar5r1jg6BIcy1Lu2730zvvWjo0NwKEvUU44OwaEMnpe/g66szAtmOzoEhzIEV3N0CA5lqFf7wo2uYoYalSvxdyWZ53zn6BAcyhjZztEhONaZq/fJYhfDvGyjo0NwKJfHZjg6hHL1xsYnHR1Cuah34A5mzTp3vn7fffdx3333Ff8cHR1NXFwcUVFRAMyfP59t27Yxbty44jZPPfUUdevWZdOmTVgsFoYPH0779u0vK64LXjo5evQoUVFRbNmyxfb4s9atGTNmTHE2RURERERERORqdbXWWf9rUuKfMJvNJCQk8L///Y+kpCQGDx7Mzz//jI/PPy9Me8GaFCNGjKB79+6sXr2auLg4unfvzgsvvPCPP1BEREREREREnFtwcDBJSUnFPycnJxMcHFyiTWRkJK6uroSFhVG3bl0OHz58WZ97wSTFmTNn6NOnDy4uLri4uHD33XeTn59/oZeJiIiIiIiISCXVokULDh8+zNGjRykoKGDRokVERtrXcercuTPr168H4PTp0xw+fPiy77q44O0e7du35/PPP6dnz54YDAYWL15Mhw4dSE+3PQLPz09PQxARERERERG5mri4uDBu3Dgef/xxzGYz/fv3p1GjRrz33ntERETQqVMn2rVrx5o1a+jZsycmk4mRI0fi7395T826YJJiyZIlAHz//fd2yxctWoTBYCAmJuayAhARERERERFxVqartCbFxejQoQMdOnSwW/bss88W/99gMDB69GhGjx59xT7zgkmK5cuXX7EPExEREREREREpywWTFPn5+cyYMYM//vgDg8HA9ddfz/3334+7u3tFxCciIiIiIiIi14gLFs4cOXIk+/btY/DgwQwaNIj9+/fz4osvVkRsIiIiIiIiInINueBMin379rF48eLin9u2bUvPnj3LNSgRERERERERufZcMEnRrFkztmzZQuvWrQHYunUrERER5R6YiIiIiIiIiKMZL3j/gVxJZSYpevfuDUBRUREDBw6kRo0aACQmJlK/fv2KiU5ERERERERErhllJik+/fTTioxDRERERERERK5xZU5cqVmzJjVr1uTdd98t/v/5y0RERERERERErqQL1qTYv3+/3c9FRUXs3Lmz3AISERERERERcRYmg8HRIVxTykxSfPbZZ3z66afk5+fTpk0bAKxWK25ubtx7770VFqCIiIiIiIiIXBvKTFI88cQTPPHEE0yZMoURI0ZUZEwiIiIiIiIicg264MNUOnbsSG5uLgA//fQTkyZN4vjx4+UemIiIiIiIiIhcWy6YpHj11VepUqUKe/bs4euvv6Z27dqMGjWqImITERERERERcSij4er856wumKRwcXHBYDCwbNkyBg0axKBBg8jJyamI2ERERERERETkGnLBJIWnpyefffYZCxYsoGPHjlgsFoqKiioiNhERERERERG5hlwwSfHOO+/g5ubGxIkTCQwMJCkpiSFDhlREbCIiIiIiIiJyDSnz6R5/CgwMpGvXriQkJADg7+9P586dyz0wEREREREREUczOXH9hqvRBWdS/PDDDzzzzDOMGzcOgOTkZJ5++ulyD0xEREREREREri0XTFJMnz6dmTNn4uXlBUDdunU5ffp0uQcmIiIiIiIiIteWCyYp3NzccHNzK/5ZRTNFREREREREpDxcsCbFjTfeyKeffkpeXh5r1qxhxowZREZGVkRsIiIiIiIiInINuWCS4sUXX2T27Nk0btyYWbNm0aFDB+65556KiE1ERERERETEoYwqnFmh/jZJYTab6dWrF9HR0dx7770VFZOIiIiIiIiIXIP+tiaFyWSiXr16JCYmVlQ8IiIiIiIiInKNuuDtHpmZmfTq1YuWLVtSpUqV4uWffvppuQYmIiIiIiIiIteWCyYp8vPz+eyzz4p/tlqtTJ48uVyDEhEREREREXEGJoOKUlSkCyYpzGYzN910k92yvLy8cgtIRERERERERK5NZSYpZsyYwcyZMzl69Ci9e/cuXp6Tk0ObNm0qJDgRERERERERuXaUmaTo3bs37du3Z+rUqYwYMaJ4uaenJ35+fhUSnIiIiIiIiIhcO8pMUnh7e+Pt7c3UqVMv6wP83IMu6/WVWcHvRxwdgkO5FhQ6OgSHskQ95egQHMo49mNHh+BQlqe6OzoEh7Fk5Ds6BIdyqV/V0SGIA1mPbXV0CA5jbFzb0SE4VkGuoyNwLA8vR0fgUMaga7v/VzujSlJUqL99BKmIiIiIiIiISEVRkkJEREREREREnIKSFCIiIiIiIiLiFC74CFIRERERERGRa5VJNSkqlGZSiIiIiIiIiIhTUJJCRERERERERJyCkhQiIiIiIiIi4hSUpBARERERERERp6DCmSIiIiIiIiJlMBpUObMiaSaFiIiIiIiIiDgFJSlERERERERExCkoSSEiIiIiIiIiTkE1KURERERERETKYFJJigqlmRQiIiIiIiIi4hSUpBARERERERERp6AkhYiIiIiIiIg4BdWkEBERERERESmD0aCiFBVJMylERERERERExCkoSSEiIiIiIiIiTkFJChERERERERFxCqpJISIiIiIiIlIG1aSoWJpJISIiIiIiIiJOQUkKEREREREREXEKSlKIiIiIiIiIiFNQkkJEREREREREnIIKZ4qIiIiIiIiUQYUzK5ZmUoiIiIiIiIiIU1CSQkREREREREScgpIUIiIiIiIiIuIUVJNCREREREREpAxGg67tVyT9tkVERERERETEKShJISIiIiIiIiJOQUkKEREREREREXEKqkkhIiIiIiIiUgajweDoEK4plTpJERe7k6ioH7BYLAy45zaGDu1ut/7rr5cxZ/ZqTCYT1ap5ETXxIWrWDADg8SHvs3XrIdpc35DPPnvaEeFfcaYuj2NqcD3WwnyKFr6PNfmgfQMXN1z6jsTgHwIWC5b9GzCv/J9jgv0HrFYrE3/cR+yuU3i4Gpk4qBnNw7xLtNt5NJPR03eTX2ihfbMAxvRrhMFg4PlvdnA4JReAzDNF+FRxYd7Im/h5YxJfLT9S/Pr4xGzm/vtGmtYq+d7OIm7tAaLeXYrFbGXAXa0Z+tCtdus3bD7CpHeXEn8ghSkT+tI9sikAu/cm8erb0eTk5GM0Gnnykdvo2bmZI7pQbr58cCx3triNlKw0Wrw2yNHhXBFxmxOJ+noTFouVAZ0aMLSv/d+soNDMqA/WsfPgafy83Jn6wq3UCvIiLSufZyevZseB0/TpWI9xj99Q/JrHX19BaloeZrOF65sGMe7x6zGZnH9yndVqZdLyY8QdzMTDxUBUz7o0C65aot17ccdZsPM0mXlmNjzXunj5/B2nmLLyOEFergDc3yaQAS2rV1j8F8tqtRL17RZit5zAw82FSU/eSPN6/iXa7TiYxujP1pNfYKZ961DGPtQag8FAenYBL7y/luOpudQMrMo7z9yCr5cbGdkFjP18A0eSc3B3NRL1xI00DvMF4Nsl+5i94iBWK9wTWY+HezSu6G6XKm79EaI+Xm3b/ns0Zej9bezWFxSYGfVmDDv3peLn48HUl7pQK8QHgPiDpxj3zipycgswGAzM+bg/hUUWBj8/v/j1Sak53NW5EWOeur1C+3Ux4jYcJeqTtba+d2/C0IGt7dYXFJgZ9fZKdu47iZ+3O1PHdqJWiDfHkrLo9fhs6tWy/W1bNQ1i/LPt7F47bNwvHDuRxc/TBlRYfy6V1Wol6r+bid2chIe7iUnDbipjHJxm9CcbbOPguhDGPnzd2XGQzwvvreN4ag41Az1551nbOPjT9gOnGfhyDFOeaUv3tmEV2bWLErc+gagPV9uOc3s2Y+gD19utLygwM+qNZezcm2Lb9sd1o1aIDz8vi+fLWZuL28UfPMWPn91L04aBvPPlOn5aGk9mVh6bFj9R0V26JHG/HyLqvRW27f/OCIYOvtlufUFBEaOilrAz/mz/x99JrVBfCgrNvPL2r+yIT8ZoMDDm2Tu4+Trb33dxzB4+/fZ3LBYrHW+tz7+HtXdE1y6K1Wpl4vwDxO4+hYebiYkDm9C8lGPTnUezGP19PPmFZto3DWBMnwYYDAZ2H8/m1Tl7KSiyYDIaGNe/ES1r+7B+fzpPf72DWtU8AOjcojpPd61bwb0T+XvOf0RaBrPZwoQJM5n2xXAWLnqFRQs3sH9/ol2bpk3DmDN3DAt+fplu3dow+e0fi9cNebwrb771aEWHXW6MDa7H6B9KwafDKFryMS7dnyy1nfn3+RR+PpzCr17AWKspxvptSm3njGJ3nSIhNZfol9oyfmA4E2bHl9pu/A/xTBgYTvRLbUlIzSVu92kA3nkkgnkjb2LeyJvo2jKQzi0DAeh9Q0jx8jcHN6NWNQ+nTlCYzRYmTIlm2tSBLJz5BIt+3cn+Q//P3p3HRVX1fwD/3GHfN2EABVRcUEFxK9wVTFxTc+0xzSet7NdeT5qalpiY5d7yWNryWFoWJiooqLiAW6KGLK6oIOuw7/vM/P64NDACigkzY37er5evgnvu8D1z7z333u8599xstTJOjpZYvWwCxj/lqfZ7Y2MDrFn+NEJ2voytG2Zi9cZDKCqu0GT4re6HM6EY/fnb2g6jxcjlCgRsu4CtS4cjZMNYhJ5MRmJKoVqZoIhbsDQzxKEvJuD58V2x7qdLAAAjAz28ObMnFs72bvC5G98ZjL3rxmD/hrHIK6pA2JkUjdTnYUXdLsKd/EocmN8dH/m7YeXhO42WG+5ujV+e82h02WgPG+ye2w2753bTyQQFAETGZCI5swTh68cgYH5frPjuYqPlVnx3ASvn90P4+jFIzuvMan0AACAASURBVCxB1KVMAMDWfVfh4ylF+IYx8PGUYuv+qwCAr/degYebNfatGYU1rzyBwO0xAIDrKYX47dgt/LrSD8GfPIXjFzOQnFmimcreg1yuQMDnUdgaOB4h385E6LFEJCbnqZUJOngFlhZGOLR9Fp6f0hPrtp4FANTIFXhv9RGseGsoQr6die3rJkJfTwJzU0MEfz1d9c9Zao6nBnfURvXuSS5XIOCLU9i6ajRCtk5F6PGbSEzOVysTFHYNluaGOPTDDDz/jBfWfXtOtczVyRLBW6YgeMuUBgmKQydvw9TEQCP1eBiRMZlIzihB+MYxCHixH1Zsu9BouRXfXsTKl/ohfOMYJGeUICqm9jjYexU+ng4I3zgWPp4O2Lr3imoduUKBtTtjMainVCN1eVByuQIBmyKx9ZPxCPn+Xwg9egOJSXfv+5fFff+n2Xh+qjfWfXMGADBhZFcEb52J4K0zsWaxmLTr1km85hkxoD1+/Up3E1N/kcsVCFgfga1rn0HIj3MReuQaEm/nqpUJCo2HpYUxDv0yD89P74t1WyIBAL/tjwUA7P/f8/huw1Ss+eI4FAol8gvL8dlXkfhh4zSE/DgX2XmlOHM+WcM1a77Iq3lIzilD2OInsGJaFwTsvtFouRW7byBgeheELX4CyTlliLoq7idrQ27h1VFu2PNuP7w+uj3WhtR1XvbtYIU97/bDnnf7MUFBOumRTVLExibB1c0BLi72MDTUx9hx/REREatWxsenK0xMxIx5L+8OyMysO7kPGOABMzMjjcbcmiSdn4A8/jgAQJl+HTAyA8zu6m2oqYLyTrz4/4oaKDJvAhZ2mg30IRyNz8HE/o4QBAHe7a1QVF6DrMJKtTJZhZUoqZDDu70VBEHAxP6OiIhTv4FXKpUIi8nCuD4NL0xCL8gwtpHf65LYy+lwbWcLl7Y2MDTQw9iR3REReV2tTDsna3TtJIUgUR+a1sHVDu1dbAEAUnsL2NqYIa+gTGOxa0JUYgzySou0HUaLiU3Mg6ujOVyk5uL2HuSKiOhUtTIR0amYNLwDAMB/gAvOxGVCqVTC1FgffbvZw9BQr8HnmpuKNyg1ciWqaxR4VEYxHrtRiKd72EIQBPRyNkNxhRzZJdUNyvVyNoO9ue7fhDUl4kI6Jg5xE9u7znYoKqtCVn65Wpms/HKUlNfAu7Od2N4NccOR8+m166dh0hA3AMCkIW44cj4NAHAzrQg+PRwAAB3bWiItuxQ5hRW4lVaEnp1sYWKkD309Cfp3s8fhu/YzbYi9lgVXZyu4OFuK+//wTog4laRWJuJ0EiaN6goA8B/qjjN/pkGpVOLU+RR07WgHD3cxEWVjZdxgtNDt1ALkFZSjn5eTRurzIGKvZcPV2RIuTrV1H+aOiNPqN1QRZ5Iw6SlxxIv/0A6qut9LaXk1ftgdh1f+1bu1Qm8xEefTMHFo+3rHQXUTx0F13XEwtL1qf484n45JQ9sDACYNba86PgDgp7BEjHqiLWwtjTVWnwcRezULrm2t4OJsJW5/386IOH1brUzEqduYNEpMxvoPc8eZi6kNtn/o0esY69tZ9bN3d0c42Jm1fgUeUuyVTLi2tYaLs7VYf7+uiDiZqFYmIioRk0b3AAD4D++CMxfuQKlU4mZSLnz6uAIA7GxMYWlujPirmUhNL4RbOxvY2oij7wb2dcOhE43f+OuCo/G5mNi39rrXzVK87i2667q3qBIlFTXwdrMU9/++joiIF5M5AoCSCjkAoKRcDgfLf859D/3z3fNxjwkTJtxz5f3797doMA9CJsuHk2PdTbij1BqXYm83WT4o6BSGDvVscvkjz8IWyqKcup+LcyFY2EJZmt94eSMz6HXqj6rzIZqJrwXICirhaF13MeFoZYSswko4WNU1ulmFlZBa1/0stTaGrEC9QT9/swB2FoZo79BwiPjBP2X4Yn7PVoi+5ciyi+HkUDfSw9HBEpcS0h74c2IT0lBdLYdr24ZDZ0l3yPLK4NSmbl91tDPFpRvqvUlZeeWqMvp6EliYGqKguAo297kgmbfyGOISczGktzP8dXCoc2NkJVVwtKgbri21MISspOqBEhKHr+fjfEox2tsaY+GIdnCyNLz/Shomyy+Hk2297W5rCll+ORxsTNTKONqa1CtjAlntDVxuYaWqrL21MXJrE7pdXa1xODoN/TzsEZuYh/ScMmTmlqOzixU2/BqP/OJKGBvq4URMBjw72mqiqvckyymFk0PdDZWjvRkuXc1SK5OVWwIne3MAtfu/mSEKiiqQlFoAQRAwb1EI8gvLMXZEJ8yfoX5jfuBYIsYM7wRBB7N0spxSVb2AJuqeUwYne/H7qau7uK1TM4sx+ZXfYWZqgLfm9lMlYjb/cB7/nuIFYyPdf+JXllcOJ7u79vG8u46DvEaOg7y/joOKu46Ditp1ynA4Og3blw1H3M1oTVTlgclySuDkUG/7tzHHpSsytTJZOaWqMvX3fRuruu/j4LFEfPnxWM0E3YJk2SXq1zr2Frh0JUOtTFZOXRl9fQkszIxQUFiOrp0ccPTUTYwb6YHMrGIkXJchI6sYPn1dcTslD6kZhXC0t8CRk4morpZrtF4PQlZYCcd617TidW+VWrIhq7DqruteQ8hq2/vFk9zx4jdx+Gz/LSiUSux8va79i0kuwqS15+FgZYj3Jrijs6PuJ660jXNSaNY9z1BbtmzRVBytat/eP5AQfwc//vSOtkPRDYIEBhPfgfxCKFAgu3/5f5jQi42PoriUVAhjQz10cTZvZK1/lqycYiwM2IdPlj0NiYSN7uPq22UjUFklx382ncbZeBkG9dK93uSWNtzdCmM9bGCoL8GvMdlYejAJ383QjbkXWosgCPjrKH/paQ+s2h6DSYsPoYuLFbq1t4aeRIB7W0u8OMED81ZHwtRYH93cxN8/ymrkSlyIz0DQl1NgbKSPue/tR4/O9hjQp52qzIFjiVjzvp8Wo2wdDramOLrjWdhYGiP+ejZe++gwQrZORUpmMe5kFGHxKwOQmlms7TA1ShAE1YixwP/F4D//6vmPP/9dupIJY2N9dOnw6IyabQlTxnriVlIupr74E5wdLdHb0xl6EgFWFsb48N2ReOfDEAgSAb09nZGSVqDtcFvNL6cz8P5Ed4zqaY+DMVn44Ndr+H5BL3RvZ46ID3xgZqSHE1dy8dr3CQhf/IS2wyVSc88kRdu2bVX/n5OTg7i4OABAz549YWen3QZPKrVBRr3HNzJlBZBKG/YInz59BVu2HMSPP70DQ8NHd+hvYyR9xkDPexQAQJlxA4JlG6gG+VnYQVmc1+h6+mP+D4r8DMijtTcSprl2RKUi6Iw4PNPT1QKZBXXzJ2TeNYoCABysjNRGTsgKKtQyzDVyBY5cykLQe/0b/K0DTSQvdI3U3gIZWXUXl5lZRZDaN38OjZLSSix4dxfeenk4vD3b3n8F0iqprSkycuoeycnMLYO0Xq8hADjYmiAjpwyOdqaokStQXFYFa4vmjQ4wMtSDX/92iIhO09kkxc8XsxEUK44U83QyRWZxlWqZrLgKUvPmj4SwNqk77U3p2QbrTzz4KKTWsuNQIn47Jj4z7NXRFhl59bZ7XhmkNurbXWpjgsy88nplylVl7KyMkFU78iIrvxy2tW2luakBVi8Q2z+lUgm/Nw/ApXakwtQRHTB1hPjY0Ppf4uBop/73tEHaxgwZWaWqnzOzSyG9a6i6g505MrJL4GhvLu7/pVWwtjSGo70Z+nk5qXqVhz3piss3slVJiqs3c1AjV8Czi73mKvQApG3MkJFdNy9Io3VvY4qM7NK76m4EQRBUj3l5drGHi7MlbqcVIv5aNuKv58B39s+Qy5XIKyjH7P+E4Me14zVat3vZEX4Dvx0VR8Z6udsgI/euffyu9k9q28hxYPvXcWCsfhzUPtoRfysf72wS528oKK5CZEwG9PUkGNlfd86J0jbmyMiqt/1zSiC1v3v7myEjq+G+/5cDRxMxrt6jHo8Sqb25+rVOdjGkbdQ7kRzaiGUcHSxQU6NAcWklrK1MIAgCFr8xQlVu5is7VY+6+g5yh+8gdwDArn2xOpeM3XEyDUF/iCNGPF0skFnvmla87lU/3zlYGd513VsFaW17H3w+E0smiXUd3csey34VHw02N647Dw7rZoeA3TeQX1INm0f4EUn652nWnBQHDhzAtGnTEBYWhoMHD6r+X5u8vNyQnJSF1JQcVFXV4EBoNHx91YfpX758Bx8u34Gv/vsK7OwstRRp61FcPIjq795G9XdvQ3H9D+h5DgcACM5dgMpSoJFHPfSG/gswMoP88LcajvbvmTWknWpSSz8ve+yNFp+1j0kqhIWxXqNJCnNjPcQkFUKpVGJvdCZ8PesmxjtzPR8dpGZqj40AgEKhRFiM7s9HAQBe3ZyRnJKH1PQCVFXLceDIZfgOaV5PcFW1HK8tCsLEMT1Vb/wg3ebVyRbJGcVIlZWI2/vUHfj2b6dWxrdfWwQfFy/qw8+kwMdTes/h66Xldc9118gVOHExHR3b6m4b+Wwfe9VEl76drLEvIQ9KpRKX0kthbqT3QI961J+/4lhiITra6c7z6LNGdULw6lEIXj0Kfv3aYm9Ustje3ciFhYmB2hB3AHCwMYG5iT5ibuSK7V1UMvz6OgMAfPs4IzhKnL8gOCoZfn3Fm6+i0ipU1SgAAL8du43+Hvaq+Un+GgqfniMOhR8/0FUj9b4Xr64OSE4rQGpGkbj/H0+E78D2amV8B7ZH8CFxIuXwyJvw8W4LQRAwuJ8rbtzOQ3lFNWrkCkRfSoe7W90jLKFHEzHOt5Mmq/NAvLraIzmtqK7uJ27Cd4D6NvEd4Ibgw+KNR3jkbfh4O0MQBOQVlEMuF7dzSkYRktMK4eJogWcndEfUL7Nw9MdnsWP9BLRva6VTCQoAmOXfGcFrRiF4Te1xEJlUdxyYNnUcGNQdB5FJ8Osn7u++fZ0RHJkEAAiOTIJfP/H4iPh8HI5+MR5HvxiPUU+2w/IX+uhUggIAvDwckJxWWLf9j96A74D2amV8B3ZA8CFxUtzwEzfh07utqu1XKJQ4eDwR40Y8mkkKLw9HJKcWIDW9UKx/xDX4DnZXK+M72B3BYQkAgPDj1+HTxxWCIKC8ohpl5WJbfyo6Cfp6EnSqHU2Smy8mfwuLK/DznhhMHe+lwVrd36zBbVUTWvp5tsHeC7XXvclFsDDWbzCvhIOlEcyN9RGTXCTu/xcy4etpp1oWfVOcaPvsjQK42YvHTnZRlWruktg7RVAqAWsz3X/8ix4vzdojt2zZgqCgINXoiby8PMydOxejR4++z5qtR19fD8uWz8C8+ZuhkCswZcpAdO7sjM2b9sHT0w2+fr3w2ae/o6ysEm+9uRUA4ORki/9u+T8AwKx/rcWtW5koK6vEsKHv4+NVszFkSA+t1edhKW5egMS9LwwXbBFfQRq6WbXM4IUNqP7ubcDCDvqDpkORkwKDF9YDAOQXQqG4dERbYT+QYd3tEHk5F/4rz4ivYvpX3U325E/PYc9Ccaja8mlda19BKseQ7nYY2r1u1M+Bi7JGR0ucv1kAR2tjuLTRfs/h/ejrS7DsXX/Me+tnKBQKTBnfC5072mPzNyfg2c0JvkO6IO5yOl57PwhFxRU4dvIGvtgWiZCdLyMs4jLOx9xBQVEZ9hwQ3wCx+oMJ6NbFUcu1ajk7XwjA8C590MbcGimB+/BhyFZ8d1r3Rw01RV9PgmXz+2Hex+Ls5FN8O6KzixU2/xILT3db+PZvh6l+7li4+QxGvbYfVuaGWP/2INX6vq/sQ2l5NaprFIg4l4pvl42AtYUh/u+TSFRVy6FUAk94OmDmKN29WatvaEdLRN0qxJitCTAxkGDlGDfVsik/XMHuuWK7sO54Kg5cyUdFtQJ+/43DMz3t8OogZ/x0MQvHEwvFob/Gevh4THst1eTehnk7IjImA6PePghjIz0Evlw3+mvS4kMIXi2Oolv+Qh8s2RKNiio5hvRyxFBv8Vh+8WkPvL35LHYfuw3nNqbY8OYAAMDNtGK8v+UcBAHo3M4KH79Y91raNzaeQUFJJfT1JFj+796wNNP+XB36ehIse30I5r0fIu7/oz3Qub0tNv9wDp5d7OE7sAOmjvHAwk8iMGrODlhZGGP90qcAAFYWRpg7tRemvbobggAMfcINw33q9peDJxLxTeA4bVXtvvT1JFj22kDMW3JQrLt/V7Hu/zsv1n2AG6aO7oqFa45j1NxdsLIwwvolvgCA6LhMfL79PPT1JJBIBHz0xmC1HvZHxbDeTuJx8OYBGBvpI3BBveNg0SEEr6l3HPz3nHgceDvVHQcTPfD2xjN1x8FbA7RSj79Dte8v2geFXIkpY7qhcwc7bP7+D3h2cYDvoA6YOrYbFgYewajnfhT3/WWjVOtHx6bDycEcLs5Wap/72denERJxHeWVNRg2/QdMHdsdr8/VvaH++voSLHvbF/Pe3S1e64zzROcObbB52yl4ekjhO7gTpo7zwsKPD2LUzG9hZWmM9R+Jx3Nufhnmv7sbEokAaRtzrPmgbk6OVZuO4lqiOKH6/80dgA6u2p97pynDutki8koe/Fefg7GB+ArSv0xedx573hXb7+VTOmPxL1dRWa3AEA9bDPUQ6xQwrQsC9yZCLlfCyECCgKlih9ah2Gz8fDod+hIBRgYSrHuum07Oy0OPN0F5v2mgIU6gWX+STIVCgYkTJzZr4kwljj1chI+wqtWbtB2CVhn01s2h45oiPPHoXAy1BsnSr7QdglYp/k97SVxtq/mj8dcDPy70e7vfv9A/mYNuvtZVYxQ12o5Ae/IK71/mn8xBNx8d0hiDRy8R1pKU585rOwStkoz/RtshtKqQpHe1HUKrGN9+nbZDaFSzRlIMHjwY8+bNw7hxYobywIEDGDp0aKsGRkRERERERESPl2YlKRYtWoTw8HBcvHgRADBjxgw89dRTrRoYERERERERET1emj1Lir+/P/z9/VszFiIiIiIiIiJ6jDUrSXHo0CGsXbsWubnizMlKpRKCIKhGVhARERERERH9E0ma91JMaiHNSlJ89tln2LJlC9zdH/PJwIiIiIiIiIio1TQrJWRnZ8cEBRERERERERG1qnuOpDh06BAAwNPTE2+99RZGjhwJQ8O696aPGjWqqVWJiIiIiIiIiB7IPZMUx44dU/2/iYkJTp06pbacSQoiIiIiIiL6J5MIgrZDeKzcM0mxevVqAOIrSJcuXQpLS0sAQGFhIT755JPWj46IiIiIiIiIHhvNmpPi2rVrqgQFAFhZWeHKlSutFhQRERERERERPX6alaRQKBQoLCxU/VxQUAC5XN5qQRERERERERHR46dZryB94YUXMGPGDIwePRoAEBYWhgULFrRqYERERERERETaxjkpNKtZSYpJkybB09MTZ8+eBQB88cUX6NSpU6sGRkRERERERESPl2YlKQCgU6dOTEwQERERERERUatp1pwUREREREREREStjUkKIiIiIiIiItIJzX7cg4iIiIiIiOhxIxHYt69J/LaJiIiIiIiISCcwSUFEREREREREOoFJCiIiIiIiIiLSCZyTgoiIiIiIiKgJEkHQdgiPFY6kICIiIiIiIiKdwCQFEREREREREekEJimIiIiIiIiISCdwTgoiIiIiIiKiJnBOCs3iSAoiIiIiIiIi0glMUhARERERERGRTmCSgoiIiIiIiIh0AuekICIiIiIiImoC56TQLI6kICIiIiIiIiKdwCQFEREREREREekEJimIiIiIiIiISCcwSUFEREREREREOqH1J87MS2n1P6GrDF9+BijM1HYY2mNmre0ItEows9N2CFql+L/R2g5BqyRfhWk7BK2RT/DWdgikTSUl2o5Au6qqtR2B1ijzC7UdglZJ3D21HYJWKeLPazsE7Wpjo+0IqBVJBPbtaxK/7db0OCcoiIiIiIiIiB4QkxREREREREREpBOYpCAiIiIiIiIindD6c1IQERERERERPaIkELQdwmOFIymIiIiIiIiISCcwSUFEREREREREOoFJCiIiIiIiIiLSCZyTgoiIiIiIiKgJEoFzUmgSR1IQERERERERkU5gkoKIiIiIiIiIdAKTFERERERERESkEzgnBREREREREVETJAL79jWJ3zYRERERERER6QQmKYiIiIiIiIhIJzBJQUREREREREQ6gUkKIiIiIiIiItIJnDiTiIiIiIiIqAkSQdB2CI8VjqQgIiIiIiIiIp3AJAURERERERER6QQmKYiIiIiIiIhIJ3BOCiIiIiIiIqImcE4KzeJICiIiIiIiIiLSCUxSEBEREREREVEDkZGR8Pf3x1NPPYVvvvmmyXLh4eHo2rUr4uLiHvpvMklBRERERERERGrkcjkCAgKwbds2hIaGIiQkBImJiQ3KlZSUYPv27ejVq1eL/F0mKYiIiIiIiIiaIBEk/8h/9xMbGws3Nze4uLjA0NAQ48aNQ0RERINymzZtwosvvggjI6OW+b5b5FOIiIiIiIiI6JGxa9cuPPPMM6p/u3btUlsuk8ng6Oio+lkqlUImk6mVSUhIQGZmJoYPH95icfHtHkRERERERESPmRkzZmDGjBl/e32FQoFPPvkEq1evbsGoOJKCiIiIiIiIiO4ilUqRmZmp+lkmk0Eqlap+Li0txfXr1zFnzhz4+voiJiYGr7zyykNPnsmRFERERERERERNkAiCtkPQCi8vLyQlJSElJQVSqRShoaFYt26darmFhQX++OMP1c+zZ8/GwoUL4eXl9VB/l0kKIiIiIiIiIlKjr6+P5cuXY/78+ZDL5ZgyZQo6d+6MTZs2wdPTE35+fq3zd1vlU4mIiIiIiIjokTZs2DAMGzZM7Xdvvvlmo2V//PHHFvmbnJOCiIiIiIiIiHQCkxREREREREREpBP4uAcRERERERFREyR4PCfO1JZHOkkRdeYmVm08BIVcialPe+OlOQPVlkf/eQerNx7CtZtZWBcwGaN9uwEArlzPxEefhaG0tBISiQQL5g7C2JHdtVGFBxJ1PhWr/nsWCoUCU0d3xUszeqktr6qSY9HaE0i4kQNrS2OsXzwC7RwtVMvTs0ow/qXdePW5Ppg3VZxx1XfOLpiZGkBPIkBPT4Ldn0/UaJ0eRNQft7Fq0zEoFEpMHe+Jl557Um15VVUNFq06iIRrWWL9V4xHOycrVFXL8eFnhxF/TQaJIGDJmyPwZG8XtXVfeX8PUtMLsX/7XA3W6O+LPHkFq9YEQ6FQYNozPnhpnvqkNdHnbyLw02Bcu5GB9WtmY/Soun3l0/X7cSLqMhQKJQYN6IKliyZDeARmLI76Mx2rvr8obn8/d7w0Wf2YraqWY9HnZ5FwKw/W5kZY/85AtHMwR35xJd5cexLxN/MwaXgHLJ/fT7XO/I+PITu/AnK5An27OWD5/L7Q03u0B5h9O3spxnsNQlZxPrxWztJ2OC1CqVQicM8NRF7Jg7GBBIHPdkMPF4sG5RJSirH45yuorFZgaDdbLJncGYIg4EpaMT767TqqqhXQkwhYPrULerpZqtaLu1OEZzddxLrZ3eHv7aDJqjVJqVRi1fYYRMZkwNhQH6sX9EePDjYNysXfysfir8+hskqOod5OWDrHG4IgoKCkCu9sPoO07DK0tTfFhjcGwMrcEMVl1Xjvyz+QkVsGuVyJf4/rginDOwAA0nPK8MHW88jMLYMgAF8vHIJ29maarnoDURfTsGrbefHYf6oTXpriqba8qlqORRtPIeFmHqwtDLH+P0PRTmqOUzHpWLf9T1TXKGCgL8HCuX3g09NJtc7Kb87hXIJ4Xnhrljf8B7ppo3oNRMVk1GvrOuKlSY20dV+cRcKtfLG+b4ltHQB8vecydh+9BYlEwNJ/98EQb7G+vq/ug5nxX+d6Abs/8QcAvL3hFG6nFwMAisqqYGlqiODPRmuwts2nVCoR+OtVRCZkw9hQD4FzvNDD1bJBuYTkQizeHo/KajmG9rDHkukeqnPcT8eSsfNECiQSYJinPd57pqumq/G3RZ6+gVXrDkChUGLaxD54ae5QteXRF5MQuP4griXKsH7VNIz266G2vKSkAmNnfIGRwzywfOF4TYb+tymVSgTujEdkrEzc5vN6o0d76wblEpIKsHjbn+I27ynFkn95QhAEbPr9Ko7+mQGJIMDW0gir5/WGg40x9p9JxbYDN6BUAmbG+vhwTk94uFppoYb3plQqEbgjDpGXauv/Yp/G63+7AIu3XRTPA72kWDLLC4Ig4LNf4nEsJhMGehK4OJghcH5vWJoZorpGgWXf/YnLyYWQyxWYOMgVL03oooUaEjXtkb0al8sVCFgXhq3rZyLk55cRejgBibez1co4OVpi9bIJGP+U+gWNsbEB1ix/GiE7X8bWDTOxeuMhFBVXaDL8ByaXKxDw5Wls/XgUQr6ZgtDjt5CYnK9WJij8GizNjXDo++l4fnIPrPsuWm35J9/8gSH92jX47O1rxiL4q8k6naCQyxUIWB+BrWufQciPcxF65BoSb+eqlQkKjYelhTEO/TIPz0/vi3VbIgEAv+2PBQDs/9/z+G7DVKz54jgUCqVqvUMnbsDUxFBjdXlYcrkCAYG/Y9t/X0Jo8CKEHLyIxJuZamWcnGyw+uNnMX5MH7XfX4y5jYsxt7Ev6D2E/L4QcfEpOHf+pibD/1vkcgUCtl3A1qXDEbJhLEJPJiMxpVCtTFDELViaGeLQFxPw/PiuWPfTJQCAkYEe3pzZEwtnezf43I3vDMbedWOwf8NY5BVVIOxMikbq05p+OBOK0Z+/re0wWlTklTwkZ5cjbMmTWDG9KwKCrjVabkXQNQRM74qwJU8iObscUVfzAABr993Eq/7tsee9/nh9TAes3V+3z8sVSqzbfxMDuzZMAGhTZEwmkjNLEL5+DALm98WK7y42Wm7Fdxewcn4/hK8fg+TMEkRdEtuCrfuuwsdTivANY+DjKgFuWwAAIABJREFUKcXW/VcBADsOJaJTO0vs/WQUti8bjk93XEJVjQIAsOi/5zBvfFccWDsav64cCTtLI81U9h7kcgUCvj6Hrct9EfL5BIRGJSExpUCtTNDhRFiaG+LQlkl4/uluWLdd/K5sLI3x3w9GYP/mCfjkzYFYuPGUap0tQfGwszZG+FeTEPr503jCUwpdIFcoEPDteWxdMgwhG8Yg9NQdJKbe1dYdrW3rPh+P58d1xbodYluXmFqIA6fvIGT9GGxbOgwB356HXKFQrbf9Q18EfzZalaAAgA1vD0LwZ6MR/NlojHrSBU892fAaQVdEJuQgOasMYSuGYMW/eiDg58uNllvx82UEzOqBsBVDkJxVhqiEHADAH9dyEXEpC8FLByJk+WC8MLK9BqN/OHK5AgGfhmDbptkI/fU1hByKQ+KtLLUyTo5WWP3hZIz3b/y1fxu3HEX/3rqRiGuuyNgsJMtKEfaJH1bM7YWAH2MbLbdieywC/t0LYZ/4IVlWiqg48buZN8Yde1eOwJ6A4RjeS4qv9onnjnZtTLH9/UHY9/EIvPJ0F3z4v0uaqtIDiYyVITmzBGGfjsSKf3sjoIk4V/wvBgH/9kbYpyPF80CsWP+BPRywb5Uv9q7yRXtHc3wTcgMAEB6dhqoaBfat8kXQiuHYdfw20rJLNVYvouZ4ZJMUsZfT4drOFi5tbWBooIexI7sjIvK6Wpl2Ttbo2kkKQaLeS9zB1Q7tXWwBAFJ7C9jamCGvoExjsf8dsdey4epkCRcnS7G+wzoi4swdtTIRZ+5g0shOAAD/IR1wJiYdSqV4M37kdBLaSS3QyU23LsSbK/ZKJlzbWsPF2Vqsv19XRJxMVCsTEZWISaPFngP/4V1w5sIdKJVK3EzKhU8fVwCAnY0pLM2NEX9VvJAvLavCD7vO45U5Ppqt0EOIjb8DN9c2cGlnB0MDfYwb3RsRx+LVyrRrawuPLs6Q3LXvC4KAqsoaVFfXoKqqBtU1crSxa9gjrWtiE/Pg6mgOF6m5uP0HuSIiOlWtTER0KibV9gj7D3DBmbhMKJVKmBrro283exga6jX4XHNTAwBAjVyJ6hoFHoEBJfcVlRiDvNIibYfRoo7G52Bif0cIggDv9lYoKq9BVmGlWpmswkqUVMjh3d4KgiBgYn9HRMSJNyeCAJRU1AAQ/+tgVZeU/CkqFU/1soeduW4lKiMupGPiEDexzp3tUFRWhaz8crUyWfnlKCmvgXdnO7HOQ9xw5Hx67fppmDREvCGZNMQNR86nARC/i9LyGiiVSpRV1MDK3BD6EgGJqUWQyxUY5CXerJsZ68PESPuDLWNv5MLVyQIujhbisT/YDRF/qCcTI86lYNIIdwCA/0A3nIkVj/3uHW0htTUFAHR2tUZllRxV1XIAwO9HElUjMiQSATaWxhqsVdPEts5CbOv09TB2oCsiotPUykScT6tr63xccCZeBqVSiYjoNIwd6ApDAz20czCHq6MFYhPzmvV3lUolws7cwbhBunsTe/RSFib6OIvHREdrFJVVN90OdLQWjwkfZ0RcEm/YfolMwYv+HWFoIF766kISrrliE1Lh5mILl3a24nn/KS9EnLiqVqadsw08OjtC0siJLP5KOnLzSjDoyU6aCrlFHP0zExMHthO3ubutuM0L1DsVswoqxHbQ3Vbc5gPbIeKieI1nbmKgKldeKcdfo/V7d7aFlZnY5vdyt0Fmnm52VB69mImJg1zF+ne6R/0rauDdqbb+g1wRcTEDADDIywH6taNDe7nbQFZ7DhEgoLyyBjVyBSqqFTDQk8Cs3ndFpAvum6S4cOECysrEG/i9e/di9erVSEtLu89arU+WXQwnh7qbK0cHS8iyix/4c2IT0lBdLYdrW92+eZfllsGp3rBbxzamkOWqZz2zckvhZC8O+dTXk8DCzBAFRZUoLa/G1l9j8epzvRt8riAA85aE4ZnXgrHrwNUGy3WFLLtEfXvbW0CWU6JWJiunroy+vgQWZkYoKCxH104OOHrqJmpqFEhNL0TCdRkyssR9ZfO2U/j3zH4wNtb+xXhzyWSFcJTWDfeTSq0hyyq8xxp1evdqjyf7d8Jgv48w2O8jDBnoAfeOutGDeC+yvDI4tTFV/exoZwpZ3l03bHnlqjL6ehJYmBqioLjqvp89b+UxDJr3O8xMDODv43Lf8qR5ssJKOFrX3VA4Whs1enMitaorI7Uygqy2zOLJnbF2302MWHEan+5LxNvjxBtaWUEljsRl49mBbTVQiwcjyy+Hk229fd7WVHWBWb+Mo61JvTImqjK5hZVwsBGX2VsbI7f2u5g1qhNuphdh6KsheHpROJbM6Q2JREBSRjEszAzx+obTmLz4MD7dcQnyeiPOtEU89uud++zMGjn2y+469g1QUKy+f4SfuYPuHW1haKCHohKxXdi08xKeeScUb356AjkF6p+pLbK8cjjZ1W/rTBpv6+zurm9Vw3Vt69YVIGDequN4ZlE4dh1RT/ADwPkr2bCzMkZ7J91NWssKKuFoU5dMcrQxbvSGTVqvrZBaG0NWIO4LSVlluJCYjxlrzmL2+nOIS2reeVMXyLKL4SitexxBKrWELLt5yWiFQoE1G8Ow6E3/+xfWMbKCCvU2zsYEWfl3bfP8Ckht6/YLqa0JZPX2i427r2DEO4ew/2wq3pjk0eBv7I68gyFeuvGY391k+eVwtKvfxhs3mqyW2tSVkdoaNzhXAMDvUckYUpuEHtXfGSZG+hj6Zhj83g7HC2M6w1rHEvW6SCII/8h/uuq+SYqPPvoIJiYmuHr1Kr7//nu4urpi0aJFmoit1WXlFGNhwD4EfjChQY/zP8kXP13E3Gc8G82S7lw3Hr9/OQlbP/bHzv1XEB2XoYUIW9eUsZ5wtDfH1Bd/QuDnx9Db0xl6EgFXbmThTnoBnhraWdshakzynWzcvC3DicMfIvLIhzh77gbOX7il7bC06ttlIxC1dTKqquU4Gy/TdjjUCn45lYb3J3XCsQ8H4v2JnfHBL2JCdnXwDbw73v0f3f4D4giqv2p4MlaGbm7WiPxyPPasHoWVP1xESVk1ahRKXLiajYX/6onfPvZDSlYp9pxI0mbYLebGnQKs+99FrHhFHDEnVyiQmVuG3h72+H39OHh3tcen31/QcpSta+dKP/y+xh9blwzDzvBERF9Wf1Qg9JRuj6JoCTVyJQrLqvHLwifx3jNd8Pa2S6rRpv9kO4OiMXRQZ7Ukx+PkrSndcGz9KEzwaYcdEbfVlv1xJQe7o+7g3em6Py/dw9iy7xr0JBJMGCg+zhV3Kx96EgEnNo7G4XWj8H1YIlKy+LgH6Zb7dh/r6+tDEAQcOXIEs2bNwrRp0xAUFKSJ2O5Jam+h6g0HgMysIkjtm98DUFJaiQXv7sJbLw+Ht6fu9aLdTWpniox6z4tl5pRBaqc+oZmDnRkyskvgaG+GGrkCxaVVsLY0QuzVbIRHJeGzbdEoLq2CRACMDPXw3NPdIa3tobKzNsHIgW6IvZaD/l5OGq1bc0jtzdW3d3YxpG3M1co4tBHLODpYoKZGgeLSSlhbmUAQBCx+Y4Sq3MxXdqK9iy2iY1IQf1UG32lbIZcrkJdfhtmv78KPn8/QWL3+DqnUCpmyumeyZbICSB2ad/FxOCIOvXq6wcxU7GkaMtgDf15KQr++HVsl1pYitTVFRk7dI1mZuWWQ1utdAQAHWxNk5JTB0c5U3P/LqmBt0byeASNDPfj1b4eI6DQM6qV7+//jaMfJVASdEZOmnq4WyCyo6xnPLKiEg5X6UG2HeiMnAHH0xV8jK4KjM7FkspiMHO1tj2W7xCRFfEox3t0uPtdeUFqNyCu50NMTMNLLvvUqdg87DiXit2Ni0tCroy0y8urt83llar1lACC1MUFmvV72zLy6HjU7KyNk5ZfDwcYEWfnlsK39LvacuI0XnxYnEnRzNEc7ezPcSi+Go60JPNys4SIV29WR/driUmIugA6tWeX7Eo/9eue+3NJGjn2xfXBsU3vuK6uGtYVY38ycUrz2yXGseWsQXGtHCVhbGMHESA+jfMTHAEcPdMPuRkYXaIPU1gQZufXbuvLG27rc+m1dNawtDBuum1e37l+PvdhZGWNk/7aITcxD/+5i73GNXIHD51LU5qrQFTuO30HQKfHRPk83S2TW60XPzK+Ag7X6YzoO9UZOAGJP/F8jKxxtjPCUtwMEQUDP9taQCEB+STVsm3me0CapvQUyZXUjP2SyIkjtG04a2pg/Y1NwISYZPwdFo7SsCtU1cpiaGOI/r49qrXAfyo6I2wg6kQwA8Oxgrd7G5ZfDweaubW5jDFm9xzVkeeWQWjd8fGv8gLZ4ecMfeH2yOJriWkohln0fg6/f8YGNDo0i2HHkFoJqE8SeHWyQmVu/ja9QjZD7i4ONidrICVlehdq5Yk9UMo7HZOL7RYNUE8iGnE3FYC8HGOhLYGdphD6dbRF/uwAuDtqfKJnoL/cdSWFmZoavv/4a+/btw/Dhw6FQKFBTU6OJ2O7Jq5szklPykJpegKpqOQ4cuQzfIc2bmbaqWo7XFgVh4pieqjd+6DqvrvZITi9CamaxWN8Tt+Bbe4H1F18fVwTXXmiFR92GTy/x2c0d68bj6PYZOLp9BuZM6oGXZnrjuae7o6yiGiVl4rDXsopqnLqYhi7tdfOxFy8PRySnFiA1vVCsf8Q1+A52VyvjO9gdwWEJAIDw49fh00d8jq+8ohpl5dUAgFPRSdDXk6BTBzs8O9kbUcELcPS3F7Hjy5lo72Kj8wkKAPDq4YKk5GykpOaiqroGoWF/wne45/1XBODsZIPo8zdRUyNHdbUc0edvPRKPe3h1skVyRjFSZSXi9j91B7791Sd48+3XFsHHxV6S8DMp8PGU3vOtJaXl1aphkzVyBU5cTEfHts276KPWN2twO+x5rz/2vNcffp5tsDdanGcgJqkQFib6jSYpzI31EJNUCKVSib3RmfD1bCMuszRC9E0xsXf2Rj7c7MULuCPLBiBiufhvVC97LJ/SRWsJCkB8FCN49SgErx4Fv35tsTcqWazzjVxYmBg0enFqbqKPmBu5Yp2jkuHX1xkA4NvHGcFR4oV+cFQy/PqKyXgnO1OciRd70XMKK3A7oxguDmbwcrdFcVk18orEG7yzCVlw14HjwauzXe2xX3vuO5kM3yfUH8vyfcIFwcfEyVDDTyfDx0ucv6SopAovf3wM787ugz7d6oZzC4KAEf3b4Vy8+Nz6mdhMuLvoRi+zl3ttW5dVgqoaOQ6cvgPffuodKb5967V1Z1Pg00Ns63z7tcWB03dQVS1HalYJkjOK0bOTLcoqalBSew4sq6jBqdhMdKn3JoMzcTJ0cLaEY71HRXTFrOGu2LN0IPYsHQi/XlLsPSvOtRVzq+De7cCtAvGYOJsO317itvfrJcUf18U5Om7LSlEtV8LG/NF4Dt+re1sk3clDSlq+eN4/HAffoQ0fXWjMuo+n4njIuzi67x0setMfk8b20tkEBQDM8uuAPQHDsSdgOPz6OGHv6VRxm9/ME9vBRhJT5ib6iLmZJ27z06nw7e0IAEjKrHss+OifmejoJCZh03PL8MYX0VjzYh90cFTv8NK2WSM7Ys9KX+xZ6SvW/5Q4v1pMYp64zzdWf2N9xCTW1v/UHfj2EesfFSvDtwcS8dVbPmpzDDnZmeCPy+KcTWWVNbh0M1/13RDpCkF5n7Fu2dnZCAkJgZeXF/r164f09HScO3cOkyZNatYfUOZtb5FAG3PidCICNx6GQqHAlPG9sGDuYGz+5gQ8uznBd0gXxF1Ox2vvB6GouAKGhvqwtzNDyM6XsS8sDks+DkGnjm1Un7X6gwno1sWxZQMszLx/mQdw4lwKAr8+C4VCiSmjumDBs97YvP0CPDu3ge8AN1RW1WDhpydw5WYurCyMsH7xCLg4qV9kfv7jRZiaGGDeVC+kZBThtYAIAOLM0eNHuGPBsw3fgPC3mTV8TdLDOHHmFgI3Hxe39zhPLJjjg83bTsHTQwrfwZ1QWVmDhR8fxJUbWbCyNMb6j8bBxdkaqRmFmP/ubkgkAqRtzPHx+/5o66j+vaRmFOKVRXta9BWkglXrjdA5EXUZgZ/uhVyuwJRJT+CVl57Cpi8PwrO7C/xGeCI2/g5ee+t7FBWVw8hIH23aWCB0zyLI5QqsWBWE6Au3IAgChgzywOL3WuetLsrr0fcv9ABOXExHYO1r+ab4dsSCKT2w+ZdYeLrbwrd/O1RWybFw8xlcScqHlbkh1r89SNUr7PvKPpSWV6O6RgELUwN8u2wErC0MsWB1JKqq5VAqgSc8HbB4bh/VJFMPS/JVWIt8zoPa+UIAhnfpgzbm1pAV5eHDkK347vR+jcYgn9CC7QjESf1W7r6Bk1dzxdewzfSAZ+2rByd/Fo097/UHAMTfKcLin6+islqOId3s8MEz4itIL9wqQOCeG5ArlDDSl2D51K4NXmG6eOcVDO9u1yKvIBWkbe5f6D6USiVW/vAnoi5lwthID4Ev94dXR3HC50mLDyF4tXiTEXcrD0u2RKOiSo4hvRyxbG5vCIKA/OJKvL35LDJyyuDcxhQb3hwAa3NDyPLLsXhLNLILygEl8OLTHnh6sDjM/1ScDGt+ugQllOjRwQYB8/vBUP9vHA+mLTsJ5YnzaQj8LhoKuRJTRnbCgmle2LwzBp6d7OD7hIt47G88iSu38mFlYYj17w6Bi6MF/vtrLL7ZHQ+3eufBbz/yg521CdKySrBo4ykUlVbB1tIYgW8MhHNLvW61qvqhVj9xMR2B//tTPNeN6IgFz/TA5l1xYlvXr61Y3y/O4srt2rburYGqtm7L7wnYfewW9CQSLJnbG0N7OyNFVoLX1p4EUHuuH+yGBc/UvZ7y/S/PwrtzG8wc9fCTKipz8+9f6O9+tlKJlb9cwcnLObWvIPWEp5uYbJm86jT2LBVfQx+fXIjF/xNfQTqkRxt8MKObOGl0jQIf/BiPKynFMNAXsPCZrvDxsGvRGCX9BrXo59V34tR1BK4/KJ73n+6DV14Yhk1bIuDZrS38hnkgNiENry38ue68b2uO0F9fV/uM3/f/ifgraa32ClJF/PkW/TylUomVP8XhZFyW6hWknh3Ea8vJy49jT8BwAED87QIs/vZPVFbJMcTLAR88J76C840vonE7swQSAXC2M8VHz/eE1MYEH3wXg8MXMuBcO9+Dnp6AoA+HPXzAkpZ9H4FSqcTKH2NxMlYGYyN9BM7vDc/aV1FPXnYUe1b6AgDib+dj8VbxFaRDekrxweyeEAQB/u8dRlWNAta1ybhe7rb4aK43SitqsHTbRSSmiSOUJw9xxbyxD//os8RnzUN/hi67mv+ZtkNoFR4272k7hEbdN0kBiImK2NhYCIIALy8v2Ns3v6epNZMUOq+FkxSPnBZOUjxqWjNJ8Sho6STFo0ZbSQpd0NJJikdNSyQpHmktnKR45DxkkuJR1ppJikdBayYpHgUtnaR45LRwkuJRwyTFo0lXkxT3PZp+++03TJs2DYcPH0Z4eDhmzJihE3NSEBEREREREdE/y30nzty2bRv27NkDGxtxeFF+fj5mzpyJqVOntnpwRERERERERPT4uG+SwsbGBmZmdc9pmpmZqRIWRERERERERP9kkntMxk4tr8kkxffffw8AcHV1xfTp0+Hn5wdBEBAREYGuXbtqLEAiIiIiIiIiejw0OSfF5cuXUVpaimPHjmHkyJGqV/n5+fmhXbt2Ta1GRERERERERPS3NDmS4vLly/jPf/6D8PBwPPfcc5qMiYiIiIiIiIgeQ00mKWbMmIG5c+ciNTUVU6ZMUf1eqVSqHvsgIiIiIiIiImopTSYp5syZgzlz5uDDDz/EihUrNBkTERERERERkU4QhCZnSaBWcN9vmwkKIiIiIiIiItIEpoSIiIiIiIiISCcwSUFEREREREREOqHJOSmIiIiIiIiIHncS9u1rFL9tIiIiIiIiItIJTFIQERERERERkU5gkoKIiIiIiIiIdALnpCAiIiIiIiJqgiCwb1+T+G0TERERERERkU5gkoKIiIiIiIiIdAKTFERERERERESkEzgnBREREREREVETJJyTQqP4bRMRERERERGRTmCSgoiIiIiIiIh0ApMURERERERERKQTmKQgIiIiIiIiIp3AiTOJiIiIiIiImiCwb1+j+G0TERERERERkU5gkoKIiIiIiIiIdAKTFERERERERESkEzgnBREREREREVETJAL79jWJ3zYRERERERER6QQmKYiIiIiIiIhIJzBJQUREREREREQ6gXNSEBERERERETVBYN++RvHbJiIiIiIiIiKd0OojKRSHI1r7T+gswd5K2yFoleCm1HYIWiU/cVrbIWiVorBS2yFolXyCt7ZD0Bq9/THaDkGrFP+ZrO0QtEp58462Q9AufT1tR6A1Qvfu2g5BqxRnI7UdglYJNo/5dW8XL22HQPSPwZEURERERERERKQTOCcFERERERERURMkAvv2NYnfNhERERERERHpBCYpiIiIiIiIiEgnMElBRERERERERDqBSQoiIiIiIiIi0gmcOJOIiIiIiIioCQInztQofttEREREREREpBOYpCAiIiIiIiIincAkBRERERERERHpBM5JQURERERERNQECfv2NYrfNhERERERERHpBCYpiIiIiIiIiEgnMElBRERERERERDqBc1IQERERERERNUEQ2LevSfy2iYiIiIiIiEgnMElBRERERERERDqBSQoiIiIiIiIi0gmck4KIiIiIiIioCRLOSaFR/LaJiIiIiIiISCcwSUFEREREREREOoFJCiIiIiIiIiLSCZyTgoiIiIiIiKgJAvS0HcJjhSMpiIiIiIiIiEgnMElBRERERERERDqBSQoiIiIiIiIi0glMUhARERERERGRTuDEmURERERERERNkAjs29ckfttEREREREREpBOYpCAiIiIiIiIincAkBRERERERERHpBM5JQURERERERNQEgX37GsVvm4iIiIiIiIh0ApMURERERERERKQTHunHPZRKJQIPJCPyRj5MDPQQONkd3Z3NGpTbeOQO9sXkoLCiBhc+eEL1+x9OZSDoYhb0JQJsTPXx8WR3tLU20mQVHohSqUTgr1cRmZANY0M9BM7xQg9XywblEpILsXh7PCqr5Rjawx5LpntAEAR8EZKI306mwtbCEADw1sTOGOZpj2q5Ast+TMDllCLIFUpMfNIZL43uqOnq3VfU+VSs+vosFAolpvp3wUvTe6ktr6qWY9HaSCQk5sDawgjrF49AO6mFanl6VgnGL/gdr87qjXlTvFS/l8sVmPrmPjjYmeHrFU9prD4PQ6lUIjA0CZHXa/f9Ke7o7mzeoNzGw3ew789scd9f/qTq9+dvF2H1gSRcl5Vi7fQu8Pe002T4D02pVGL10VRE3SqCsb6AVWPbo7vUtEG5TVFp2JeQh6IKOaLf8lb9Pjg+F+uOp8HB3AAA8Gwfe0zt2UZj8T8opVKJwD03EHklD8YGEgQ+2w09XCwalEtIKcbin6+gslqBod1ssWRyZwiCgCtpxfjot+uoqlZATyJg+dQu6OlW13bE3SnCs5suYt3s7vD3dtBk1Vrct7OXYrzXIGQV58Nr5Sxth9MiHve2T6lUInD3dUQm5Ijnvue6o4dLI+e+O0VY/FOCuP/3aIMlU7pAEAS8/V0ckrJKAQBF5TWwNNHHnvd9kF9ahbe+jUN8chEmPemEZdM9NF21+2qt835VjQIf7UxAfHIRJAKwZHo3PNHFVtPVu6+oP5Kw6vPjUCgUmDrOEy/NekJteVVVDRYFhiPhugzWliZY/+FYtHOyQlW1HB+uPYL4azJIJAKWvD4cT/Z2AQDMf+93ZOeWQi5XoG/Ptlj+li/09HSzz6619v1TV3Oxfl8iqmsUMNCX4L2JneHTVfe2v1KpxKofLyEyJhPGRnpY/VI/9Ohg06Bc/O18LP76PCqr5Bjq7Yils3tBEASE/ZGKL36/jJvpxfh1hS+8OorrnoqTYd2ueFX9Fz7rBZ8eun3uizxzA6vWhUGhUGDaxD546fkhasujLyYhcEMYriXKsP7jqRjt10NteUlJBcbO/BIjh3lg+XvjNBk60d+im61yM0XeKEBybjnC3vTGiqc7YMX+W42WG9HVBrte9mzw+25OpvjtZU8Ev9oT/j1sse5QcmuH/FAiE3KQnFWGsBVDsOJfPRDw8+VGy634+TICZvVA2IohSM4qQ1RCjmrZ835u2LN0IPYsHYhhnvYAgPALmaiqUWDfskEIWjwAu6JSkJZbrpE6NZdcrkDAV2ewNWAUQrY8g9ATt5B4J1+tTFD4dViaG+LQt9Pw/GRPrPvuvNryT7aew5B+7Rp89va9l9HRxbpV429pkdcLkJxbgbC3e2PFpI5Yse92o+VGeNhg1yteDX7vZG2IwCnuGKfDN+b3EnW7CHfyK3Fgfnd85O+GlYfvNFpuuLs1fnmu8RuP0R422D23G3bP7abTCQoAiLySh+TscoQteRIrpndFQNC1RsutCLqGgOldEbbkSSRnlyPqah4AYO2+m3jVvz32vNcfr4/pgLX7b6rWkSuUWLf/JgZ2bXjh9yj64UwoRn/+trbDaDFs+4DIy7niuW/5QKyY2Q0Bu642Wm7FrqsIeLY7wpYPFM99l3MBABte8MKe932w530fjOrlgJG9xJsRI309vDHOHe9N7qyxujyo1jrv/3YyFQCwb9kgfPtGP6wJugaFQtn6FXoAcrkCARuPYuunkxDyv+cRGnENiUm5amWCQhNgaWGEQztfwPPT+mDd1ycBAL+FxAEA9v8wB9+tm4I1X0Wq6rfxo3HY+91s7P9hDvIKyhF2/IZmK/YAWmvftzEzwH9f9sa+JQOw+v/Zu+/wqMq0j+PfmUnvfRIg1ITeRFQUCEUFBQtSbKioKOrKK7qKLBYUXFCKiK4i6lpXUBRERVAjkyPIAAAgAElEQVQQpEmRTgiC9E56SEhPZub9YzBhDEgUpkB+n7241pnznJn7yZyZc859nuc+d7VgxP+2uaxPf8XyLakcSM1nwas9GTO4HaM/2nTadqM/3MRLD7Rjwas9OZCaz4rkNAAS64TwxrArad/EcR8fHuzL209exdxXruWVh9rz9LR1Tu/LubBYrIyZMJ//vj6QeTMf5bsFKezem+7QJi42lJdH9eGGHlWP+QCmvLOEy9rWc0W4Fy2jwXhR/vNUnhtZNfy0I4eb20ZjMBhoEx/MiWILGSdKq7RrEx9M9MmrCKe6omEo/j4mAFrHB5OWW3VdT/LTlnRu7lALg8FA24Zh5BWWkZ5b4tAmPbeE/GILbRuGYTAYuLlDLRZvST/DK9oZDAaKSi2UW6wUl1rw9jIS6GdyZlf+suSdmdStFUJ8XAg+3iZ6JTVk8WrHE9PFaw7S5xr7wWbPTvVZveUoNpv9oGTRqgPUiQ0ioa7jAXlqZgHL1h1iQM/GrunIefLT9uw/bPvlf2nbrx3uR5PYQIwGgyvCPe+W7MrlphYR9v7XCrR/9/PLqrRrUyuQ6JOjJS5kP6VkcvNlsfbvfv1Q8orKz/zdrx9q/+5fFsvirfYTFYMB8ovLAfv/x4RWbhOfrjjMtW2iiQyqup1ciFbs3kx2QZ67wzhv9NsHP23N4ObL4+zbf4M/2/7Ladvg5PZ/eRyLt2Y4tLHZbPywKY3el8YCEOBr4tJGYfh6ee6hkLP2+3uO5XNFE/sIusgQX0ICvEg5mOu0fvwdydtTqVs7jPhaYfZtv3sTFv+8x6HN4pV76NOzOQA9uySyeuNBbDYbe/Zn06GdfeREZHgAIUG+pPxmP3ENCrSPmC23WCkrs+DJu0FnbfvN40OICbX/HRLjAikps1BaZnVNp/6CxRuOcXOnevb+J0SSV1BGeo7jRbT0nCLyi8pomxBp73+neixafxSARrVDaFir6qjD5vXDMIf7A/ZERkmphdIyi/M79DclbztCvToRxNeOwMfbi949WrJ4uePFijq1wmmaGIvRWHWDTtl+lKzsfDp2aOSqkEXOWbX2zNu2bavy7+DBg5SXlzs7vj+VnldK7CkH2+YQH9Ly/l6i4asN6XRO9OwrSmnHS4gN96t4HBvuR/rxYoc26ceLMZ8yZcUc5kfa8cod2vSlB7n53yt59pMUcgvsJ3U92pnx9zGR9K+lXP3scu6/pj5hgZ51wpKWVUBcVOVUntioQNKyCh3apGcVEBdtb+NlMhIc4MPxvBIKisp4b1Yyj955SZXXHffOLzx1/2UYTvOj7snST5y/bf9ClJZfSuwpyRdzsA9p+X+t/z/uzOGWD3/liW/2cszD/3ZpuSXEnvK9jg3zPe2Bqjn0lO9+qC9pJ9uMvCWRSd/uodvoVUz4djdP9LYfqKQdL2HR1gzuuKq2C3ohf4d++06z7zvT9h9W2cYc5uuw7wNYv+c4kcE+1I+pOjXMUzlrv9+0TjBLktMpt1g5nFnItoN5pGY7vq67pWXmExdTeYIZGx1EWma+Q5v0U9p4eRkJDvTleG4xTRpF8dPKvZSXWzl8LJdtO9M5ln6iYr3BT31Fx5vfITDAh55dPHckjSu2/YWb02lWJwQfb89L1qXlFBEX6V/xODbCn7Sc4j+0KSY24o9tqj8aeMG6IzSvb0+Eeaq0jDxizZXTfMwxIaRlVC8Zb7VaGf/6AkY81sNZ4Yk4RbVqUowePZpff/2Vxo3tV1x27txJYmIiJ06c4MUXX6RTp05ODdLZvt2SQcrRAj65v7m7Q3Gq25PieaRXIwzAG3N3M2H2b4y9pyVb9+diMhpY9kpX8grKuOvVtVzZNJL46AvnQO7PvDl9E/f2aUGgv+MV9SW/HCQyzI+WiVH8knzMTdGJO3RtFEqvpuH4eBn5YnMGz36/nw9u8/wryn/X5yuP8K8+CfRoE8P3m9J57vMdfPiPtrz89S6evKHRaa+8yIVPv32O5m1IrbiSXFOcab/f96ra7EktYMAra6gV4UfbhmEX1e9Av14t2Xswm/4PzaCWOZhLWsRhOqV/70/qS0lJOU/9+3vWbDxEx8su7mHwZ9r2dx3L59Vvd/Pff1RNZNYEuw7n8ernKbw/4sI+j/kzM2atI+mqRGLNoe4OReQvqVaSIiYmhrFjx5KYaM827969mzfeeIPhw4czdOhQlyYpZvySypcb7MMYW9UOIvWUKRppeaWYQ/7aCIBVe3J5d9kRPr6/BT4eOORz+tKDzFppnzvasl4IqadkkFNziok5JXsOEPOHKyhpp1xhiQqpvNIyoFMdHn5rIwDfrT1GpxZReJuMRIb40q5ROCkH8zwqSWGODORYZkHF49TMAsyRjvHFRAZyLKOA2KhAyi1WThSWEhbiS/JvGSz4eT8TP1jPiYJSjAbw9TGRllnIT2sOsmzdYUrLLOQXljJ84jImDu/i6u5Vy4w1qXy53j5c9Xxs+xeazzZmMCvZPn2hZVwAqadMb0k7UYr5L0xXCPOv/Onr1zqKycuOnL9Az5PpPx9m1mr7CWTLusGknvK9Tj1eUjFU93cxp4ycAPvoi99HVny9LpVnTs67v65tNM+fnNeccugET35in+N+vKCM5duzMJkMXNMq2nkdk7+kpv72TV9+iFmr7N/LlnX/sO870/Z/ygiDtOMlDqMLyi1WFm3JYNZwx8KLnsgV+30vk5GRAyrr9dwx8Rfqm6sWHncnc1SQw+iH1Ix8zFGOBaJjTraJjQmmvNzKiYISwkL9MBgMjBzataLd7f/4nPrxjnV3fH29uLpjIxav3ONRSQpXbfupOcX833vJvHJ3C+p60PHe9B/38OUSe52tVg3DOXZKjbTU7CLM4Y7bvzncj9TsP7bx52xSswoZOmU14x9uT11z1cLjnsQcHUJqWuXIibT0PMzRVQuons6mrYfZsPkAn81eR0FhKWXlFgL8fXhqqOcWS/ZUBg+u33AxqlaSYv/+/RUJCoCEhAT27t1LfHy80wI7kzuviOXOK+zZ4GW/5TD9l1R6tYok+XA+wX6m086/P5NfjxUw+tu9vHNPUyI9dN76wK51Gdi1LgBLt2YwY+lBerWPZcu+XIL9vU67swryM7F573HaNAjlmzVHGdjNvn56buXO7cfNaSSevBtEXIQfv/yWxc1X1KKwpJwt+45zT3fP2WEDtGocxYGjuRxOPUFMZADzl+9l0tNdHdp0vyKerxft4pJmMSz4eT8dWtvncU6fWFnF+D+fbiTA35u7brSPmnnyvvYA/JJ8jA9mp3jUQfof3dkhljs7nLLtr0mlV+uT277vX9v2L0R3tIvmjnb2k+dle3L5bFMG1zcNJ/lYIUG+pr9UeyIjv6yi/ZLduTSM9DvLGq43sFMdBnayFztcui2TGT8fodclMWw5kPfn3/39ubSpF8I361IZ2Nm+fkyIL+v2HOfyhHDW7MqhXrT9AG7R81dWrD9yxna6No9UgsLD1NTfvoFJ8QxMsh9jLE3JZMbyQ/S61MyW/XkE+51p+/di875c2tQP4Zu1xxjYpfIYZfVv2TQwBzgMnfdUrtjvF5VasNlsBPh6sXJ7JiajgYQ4zzpRa9U0lgOHczh8LJeYqCDm//Qbk56/3qFN944N+XrBr1zSshYLlu2iwyXx9jpbxWXYbBDg783KdQfwMhlJqB9JQWEpBUWlxEQGUV5uZdmafVza2rOmu7li288rLOPhaZv5500JtGvoWVOdB17biIHX2qckLt10jOk/7qH3lXXYsieb4ABvYv6QgIgJ9yfI35vNu7No0yiCb34+wF09/rz2Ql5BKQ+9uoonb2tJu8aeXTgboFXzWuw/lMWhIzmYY4KZtzCFV1/qV611T2331XebSNl+VAkKuSBUK0mRkJDACy+8QO/e9gOe+fPn06hRI0pLS/Hyct9dTJMah7F813Gum7IZP28jY2+p/FG6ZWoyc/7RGoBJCw4wb2sWxWVWuk3aSL920QztHs+kBQcoLLXyxEx7Zedaob68NbCJW/pSHV1aRrE8JYOeo1acvBVZ5R1Lbhm7ijnPXgXAqDuaM/Jj+63IOreIIqmF/Qd40le/sePwCQwGqB3hz4sD7bcnurNLXZ79Xwo3jPkZbHDLlbVpUqdqoSF38jIZef6RKxn83AKsVhv9eiSSWC+cN/63kZaJUXTvUJf+PRvz9KTl9Bj8JaHBvkwe0dXdYTtNUuMwlu/M4brJm/DzMTK2b0LFslve3MKcofZbFE764QDzkjPt2/6EDfS7NIahV8ez9XA+j834jbyicpbsyOHNnw4x97G2Z3o7j5PUMIQVe3O5/r1t+Hsbeen6yqRav4+2M/veZgC8uvQw87fnUFxm5eq3t9K3dSSPdqzFpxvTWbrbPs0p1M/Ev6+v76aeVE+X5pEs355Nz7Fr7N/92yuvgN4ycR1zhl8GwKh+jRn52Q77d79ZJEnN7LeUG3NbE8bN2YXFasPXy8gYD7zV4vky4/4xdG3cjqigMA6N+5YXvnuPD1bNdXdYf5t++6BLi0iW/5pJzzGr7Lfgvavy1nq3vLKGOf/qAMCo25pW3Iaxc7NIkppX3lp5/oa00w53v/qFnykoLqes3MbirRn89x+XeNTJurP2+9knSnngjfUYjQZiQn0Zf+/p7wjgTl5eRp5/vDuDn/rKvu33akFigyjeeH8VLZua6d6xEf17teTpsT/Q484PCA32Y/ILvQDIyinkgeFzMBoMmKMDGf/sdQAUFZfxj5HfUlpmT9Jc3jae229q7c5u/ilnbfvTlx/iYGYhb/+wl7d/sN8Z77+PtiPSwy52dGkby/ItqfR4coF9+x/SvmJZn2cW8fW4awAYde8lPPPueopLLXRuYyapjb2/P647wr8/2UL2iRIenrSSpvVCeX9EZ6b/uIeDaflMnbOdqXO2A/D+iE5EhnpmEtPLy8So4b144LH/YbHa6HfjJSQ2iuH1d36iZbNaXJ3UlORfjzD06c/JyytmyYqd/Ofdpcyb+ai7Qxf52wy230uA/4ni4mJmzJjBhg0bAGjXrh133nknvr6+FBUVERh45iGClpmDzl+0FxhDdM2e/2Wo51lXJ1zNunG7u0NwK+sfinvVNKZaNff7b5q72d0huJX1qVvcHYJb2fac/pbANYaX5xbgczZD84u7ttfZ2JK3ujsEtzKE19z9HoChsecl+1wq9A53R+BUJ8rmuDsEpwj29sxjlmoNg7BarQwaNIj7778fAIvFQmlpKUaj8U8TFCIiIiIiIiIi1VWtCiD33nsvxcWVRXmKi4u57777nBaUiIiIiIiIiCcwXqT/81TViqykpMRhxERgYCBFRdW/B7GIiIiIiIiIyNlUK0nh7+/Ptm3bKh6npKTg5+eZxWVERERERERE5MJUrZoUzzzzDMOGDSMmJgabzUZmZiavvfaas2MTERERERERkRqkWkmK1q1b8/3337Nv3z4AGjRogLe3t1MDExEREREREXE3g8Fz6zdcjKr11y4qKuK9997jk08+oXHjxhw5coQlS5Y4OzYRERERERERqUGqlaQYOXIk3t7ebN68GQCz2cyUKVOcGpiIiIiIiIiI1CzVSlIcPHiQBx98EC8v++wQf39/bDabUwMTERERERERkZqlWjUpfHx8KC4uxmAwAPakhY+Pj1MDExEREREREXE3o2pSuFS1khRDhw7lgQce4NixYzz55JNs2rSJcePGOTs2EREREREREalBqpWk6NSpEy1atGDLli3YbDaeffZZIiIinB2biIiIiIiIiNQg1Rq3MmjQIMLDw+natSvdunUjIiKCQYMGOTs2EREREREREalB/nQkRUlJCUVFReTk5JCbm1tRLDM/P5+0tDSXBCgiIiIiIiLiLobqXduX8+RPkxSff/45H3/8Menp6fTt27ciSREUFMRdd93lkgBFREREREREpGb40yTFoEGDGDRoEP/73/+4++67XRWTiIiIiIiIiNRA1Rq3EhUVRX5+PgBTp05l6NChbNu2zamBiYiIiIiIiEjNUq0kxdSpUwkKCmL9+vWsXr2a/v378+KLLzo5NBERERERERGpSaqVpDCZTAAsW7aMW2+9la5du1JWVubUwERERERERETczWgwXpT/PFW1IjObzYwaNYr58+fTpUsXSktLsVqtzo5NRERERERERGqQaiUppkyZQqdOnXj//fcJCQnh+PHjPP30086OTURERERERERqkGolKfz9/YmIiGDDhg0AeHl5Ua9ePacGJiIiIiIiIiI1y5/egvR3b775JikpKezbt49+/fpRVlbG8OHD+fzzz50dn4iIiIiIiIjbGKp3bV/Ok2r9tX/88Ufefvtt/P39AXuNioKCAqcGJiIiIiIiIiI1S7WSFN7e3hgMBgwGAwCFhYVODUpEREREREREap6zTvew2Wx07dqVUaNGkZeXxxdffMHs2bO59dZbXRGfiIiIiIiIiNQQZ01SGAwGFixYwL/+9S8CAwPZt28fjz32GB07dnRFfCIiIiIiIiJuYzSoJoUrVatwZvPmzQkODmbEiBHOjkdEREREREREaqhqJSm2bNnC3LlzqVWrVkXxTIC5c+c6LTARERERERERqVmqlaR4//33nR2HiIiIiIiIiNRw1UpS1K5d29lxiIiIiIiIiHgcg2pSuJT+2iIiIiIiIiLiEZSkEBERERERERGPoCSFiIiIiIiIiHiEatWkOBf7pmxw9lt4rIbje7g7BLfKquG1TCKOpLk7BLfyahjg7hDETaxP3eLuENzKOGmOu0Nwq707itwdglv5BPm4OwS3yfmolrtDcKuENQfdHYJb+bQ1uzsEt/ol/jd3h+BWHULdHYFcTJyepBARERERERG5UBls7o7ASQzuDuD0NN1DRERERERERDyCkhQiIiIiIiIi4hGUpBARERERERERj6CaFCIiIiIiIiJnYrO6OwLnqEZNiuXLlzN27FisVisDBgxgyJAhDss//PBDvvzyS0wmExEREYwbN47a53gDBY2kEBEREREREREHFouFMWPG8N///pd58+bx3XffsXv3boc2zZo1Y/bs2cydO5eePXsyceLEc35fJSlERERERERExEFycjL16tUjPj4eHx8fevfuzeLFix3adOjQAX9/fwDatm1LamrqOb+vpnuIiIiIiIiI1DAzZ85k5syZFY9vu+02brvttorHaWlpxMbGVjw2m80kJyef8fVmzZpFUlLSOcelJIWIiIiIiIjImVykNSn+mJQ4F9988w0pKSl8+umn5/xaSlKIiIiIiIiIiAOz2ewwfSMtLQ2z2Vyl3apVq5g2bRqffvopPj4+5/y+qkkhIiIiIiIiIg5atWrF/v37OXToEKWlpcybN4/u3bs7tPn1118ZNWoUb7/9NpGRkeflfTWSQkREREREREQceHl5MWrUKB544AEsFgv9+vUjMTGR119/nZYtW3L11VczYcIECgsLGTZsGABxcXFMmzbt3N73fAQvIiIiIiIiclG6SGtSVEeXLl3o0qWLw3O/JyQAPvroo/P+npruISIiIiIiIiIeQUkKEREREREREfEISlKIiIiIiIiIiEdQkkJEREREREREPIIKZ4qIiIiIiIicSQ0unOkOGkkhIiIiIiIiIh5BSQoRERERERER8QhKUoiIiIiIiIiIR1BNChEREREREZEzsaomhStpJIWIiIiIiIiIeAQlKURERERERETEIyhJISIiIiIiIiIeQTUpRERERERERM7EppoUrqSRFCIiIiIiIiLiEZSkEBERERERERGPoCSFiIiIiIiIiHgE1aQQERERERERORPVpHApjaQQEREREREREY+gJIWIiIiIiIiIeAQlKURERERERETEIyhJISIiIiIiIiIe4aIqnBn1xEgCruqMrbiY9JeepWTn9jO2jZvwH7xq1eHQXbe4MMJzY7PZGPf5ryzfmo6fj4lx97WhRb3QKu22Hchl5IdbKCm1kNQqhmdub47BYKhY/uHCvUz4cjurJl9LeLBPxfNb9x3njldW8eqQS+h5aZxL+nQ+rFm5mynjF2C12rjxlku4e3BHh+VzvtjAVzPXYTQZCfD34elRvWnQKNpN0f59zvr831+wh+/WHAWg3Gpl77F8Vr52LWGBPlVe25VsNhtjP9nM8s3H8PPx4uWHL6NFg/Aq7VL25jDynbX2/raN49l72mIwGDieX8o/31jNkYxCakcH8NpjVxIa5ENufinPvruOg2kF+HobGfvQZTSOt/8dP/l+F18u2YvNBgO6N2DQ9Y1d3e0Kzur/icIyhr/1C8eyCrFYbNzXuzH9ujYA4GhmIc+9t57UrEIMBnjn6c7UiQ50dderWLH+MGPfWYPVaqN/z8YMubWNw/LSMgsjJi1n2+5MwoJ9mTyyG3XMwRXLj6bnc8PDX/HowEsY3K9VxfMWi5X+w74lJjKQd0Zf67L+OMv7dz/LDa06kn4ih1YvDXR3OE4T8X8jCLiiE7biYjLGP0/prh1V2pjHT8UUGYXB5EVx8kayXh8HVis+jZoQ+c/nMPj4gMVC5pRxlO5IcUMv/r7QIU/id2lHbCXF5Lw+mrI9v1VpE/niG5giIsHkRem2TRyfNgGslUXfgvoMJHTw4xwbeA3WvFxXhv+3bVpzmA+m/ILVYuPqGxvT957WDssXzNnBD7O3YzQZ8fP34uERHYlvEEZZmYV3xq9iz45MDEYD9z9+BS3bXTjHOKfy6jkEY+KlUFZC2TevY0vd84cGvngPGIEhPA6sVqy71lK++GMADHVb4N3zQQzm+pTNnoB1+yo39OCvsdlsjPtmL8t3ZOPnbWTcbU1oUSeoSrtth08wcuZOSsqsJDWN4JmbG2IwGNhxNJ8XZ++msNRC7XA/Jt7ZhCA/+6nPb0cLeGH2LvJLLBgN8OVjl+Dr7bnXbpN/Ocr0/2zEarXRpXcjbhjY/LTt1i07xJujfubFd3rQoGkkKeuO8cW7W7CUWTF5G7n9kbY0bxfr4ugvEiqc6VKe+238iwKu7Ix3fF0ODuhF+isvEv3082dsG9jlGqxFhS6M7vxYnpLBgfQCfhjbldF3t2LM9NMfWI3+dCtj7m7FD2O7ciC9gBUpGRXLjmUXsXJbBnER/g7rWKw2Xp29g6uaRzm1D+ebxWLl1XE/8OrUO5k+5xEW/ZDCvj0ZDm169GrJ/2Y/zMdfDOHO+67kP5N+dFO058ZZn//gno2Y80Jn5rzQmX/2bcpljSPdnqAAWL45lQOp+SyYfD1jHriU0R9sPG270R9s4KUH2rNg8vUcSM1nxZZUAN77dgcdWppZ8Nr1dGhp5r259hOZd77ZTtN6YXw7vgfjH7mccZ9sBmDnoVy+XLKXL166mq9fuZalG49xIDXfNZ09DWf1f/rC3STUCeGbV3rwyfNdmTB9C6Xl9h3viLfXMviGJsyfdB1fvHQNkSG+runsn7BYrIyZupr3xvTgu2l9mbdsL7sP5ji0mbVgJyFBPix8fwCDbmnJqx+sd1j+yntr6dy+TpXX/uSbX2kYH+bU+F3po9XzuO4/T7g7DKfyv6IT3rXrcviuG8l8dQyRTzx32nbpo4dz9IFbOXJfX0xh4QR26QFAxENPcPzjaRx98DZyPpxKxEOPuzL8c+Z76VV41apL2kN9yXlrHGGP/Ou07bLHjyT9sYGkP3obxtBw/DteXbHMFGXG95IrKE8/5qqwz5nFYuW9SWt49tUeTJlxCz8v2suhfccd2nTu0ZDXPr2FVz++mT4DW/HRG2sBWPTtTgBe+/QWXpjSk4//sw6r1ebyPpwrY8KlGCJrUfrmQ5R99xbevR85bTvL6jmUTn2E0neHYYxvhjHhUvuC3AzKvpmCdesyF0Z9bpbvyOFAZhE/jGjP6P6JjPlq92nbjf5qN2P6J/LDiPYcyCxixW/2fcTzX+7in73q8+2Tl3JNy0jeX3oYgHKLjac/28GL/RL47qlL+fjh1niZDKd9bU9gtVj5ZMoGnpzQlZc/7sWaxQc4sr9qcrGosIyFs36jUfPIiueCQ3154uUkxn7UiyEjO/DO2DWuDF3kb7tokhSBSd048f23AJRsS8YYFIwpsuoJt8Hfn7A77iH7w3dcHeI5+2lzGjd3qI3BYKBto3DyCstIP17s0Cb9eDH5xeW0bRSOwWDg5g61Wbw5rWL5KzN/5an+zTD84bf405/2c+2lsUQGu/+k5K/YnnKUOvHh1K4Tjre3iauva8GKpY5XlQKDKvtUXFRWpe8XCmd+/r+bt/YovS6v5cxuVNviDUe5uXM9e38TI8krLCU9p8ihTXpOEflF5bRNjLT3t3M9Fq0/enL9I/TpXA+APp3rsWj9EQD2HMmjQ4sYABrWDuFIRgGZucXsPZJH64QI/H298DIZuaxZND+uO+zCHjtyVv8NBigoKsdms1FYXE5okA9eRgO7D+dhsVjp2MoMQKCfF/6+7h9sl7wzk7q1QoiPC8HH20SvpIYsXn3Qoc3iNQfpc00iAD071Wf1lqPYbPaTkEWrDlAnNoiEuo7JiNTMApatO8SAnu4bLXO+rdi9meyCPHeH4VQBHbuRv3AuACXbt2IMDMYUUXVfbysssP+HyQuDlzdg3x5s2DAG2q/EGgODsGRlVFnXk/l36ELhT/MAKPstBUNgMMbwyCrtbEW/998EXt6/dx+A0AeeIPfD/4DtwjlR3/1rJrF1gomtHYy3t4lO1zRk3QrH34GAU5LrxUXlFfu5w/uO0/Lk6NDQCH8Cg3zYsyPTZbGfL8YmHbBs+QkA25HfwDcQgv4wuq68BOv+rfb/tpZjPbYHQ7B9+7DlpmNL339Bfe4/bcvi5ktj7PvBeiHkFZeTnlfq0CY9r5T8Ygtt64XY94OXxrA4JQuA/ZlFXNbQPlLyqsbh/LjV/rmv3JlDk7hAmtay/xaEB3pjMnruweHe7dmYawcRUysIL28TV3Svy8afqx6ffPV+Mr3vbIa3j6niuXqNI+/1UxMAACAASURBVAiPCgCgdoNQykoslJVaXBa7yN9VrSTFxo0bmTt3Ll9//XXFP0/jFW2mPC214nF5Rhpe0eYq7SKH/B/HP/sYW3FxlWWeLi2nmNhTroDHhvud9iTVHO5X8dgc7k9ajr3N4s2pmMP9aBofUuV1F21K5Y4u9ZwYvXNkpOcRE1vZn5iYEDLSTlRpN/vzdQzo/SZTX1vM4yN6ujLE88ZZn//vikos/JySQY9LPWMYYFpOEXERARWPYyMCSPvDSXpaTpHj3yTCv6JNVm4JMeH2ZdFhfmTllgDQpG4YP66zn7An787maGYhqVlFJMaHsn5HJjknSigqKWfZ5mMcy3J8P1dyVv8H9khgz9E8kh79jptGLOCZey7BaDSw/9gJggN9+L/XVnHLyB+ZMH0LFg+42piWVUBcVOWUk9ioQNKyHEfCpWcVEHdyWoqXyUhwgA/H80ooKCrjvVnJPHrnJVVed9w7v/DU/Zdh8OADU6nKKyqG8vTKxKslMw1TVMxp25onvE3dOUuwFhVQsMw+gi77zQlEPPQE8TMXEPHwk+S894ZL4j5fTJHRWDJP6X9WOqbI0/c/cvQbxH26EFtRAUWrFgPgd0USlqwMyvfvckm850t2RiFR5srfgYjoALIyCqq0+372dv7Rfxb/m7qO+5+4AoB6CRGs//kQlnIraUdPsOe3LDLTqq7r6QzBkdjyKpMrthNZFQmI0/INxNj4cqz7trggOudIyyslNqzyQlNsqA/pJ/dlv0vPLcEcWtnGHOpL2slERoI5gMXb7AmLBVsyOJZrf35/ZhEYDDzw3lb6TtnIf5cccnZXzklOZiERMZXHAxHRAeRkOh4P7N+ZTXZ6IW2vrH3G11m/7BD1Goc7JDFEPNVZkxTDhw9nwoQJbNiwga1bt7J161ZSUi6s+Zu/80lsgnfteAqWLXZ3KC5XVGLh3fl7+L+bql41fHnmNp7s2xTjRXyw3u/2y/hy3lAeebw7H733s7vDcbk/+/x/tyQ5jUsSwj1iqsf5ZjAY+H3rHnJTU/IKyugzciGfLtxFs/phmIwGGtUO4cEbmzL45eU8OH4FzeqFefSVlb/i1P7/nJxGs3phLH/rBua83IOXPtpIfmEZ5VYbG3Zk8PSdrfny31dzKL2AOcv2uzPsc/bm9E3c26cFgf7eDs8v+eUgkWF+tEy8sKa3yV+T9vQjHOp3NQZvH/wuuRyA4JtvJWvqRA7d1pPsqROJGv6ie4N0oqwXHuPYPddj8PbBt3V7DL6+BA+4j7zp09wdmtNc368ZU2f15+5/tGf2R/aT86tvSCQyJoCnB8/lwym/0KRV9EV9vAOAwYh3v+FY1s7Fdjzt7O0vUmNvbcxnq47Rb8omCkoseJ+c0mGx2Ni4L5eJdzZl+j/asCgli9W7cs7yap7LarXx2VubuP0fVRPyvzu8L5eZ72zh3icvc2FkFxmr9eL856HOOpY3JSWF+fPnOxTe8xSh/W4n5Kb+ABRvT8HLXHkF2CvaTHmG4w+zX8u2+DZtQb2vFmAwmTCFR1L7rQ858uh9Lo37r5i+ZD+zltszvC0bhJKaXZk5Tc0pJibMz6F9TJhfxZVzsF9pNYf7cSijgMOZhfQZs+Lk88X0+/cKZj7TkZT9uTz53iYAjueXsjwlHZPRwDWXeMYV9T8THRNCemrl8Ob09DyiTymY90fXXNeSSWO/d0Vo54UrPv/oUPtrzF97lN5unuoxfeFuvlyyF4BWDSM4ll15xTw1uxBzuGMtFXO4v+PfJLuook1kqC/pOUXEhPuTnlNExMkrLUEB3rz8sH0nbbPZuHrYfOJj7Ffo+ndrQP9u9iKSkz/fSmyk4/s5myv6P2fZPh68qSkGg4F6sUHUiQ5k79ETxEb407ReGPFm+/DXa9rXZsvuLKCBM7t8VubIQI5lVl71TM0swBwZ4NAmJjKQYxkFxEYFUm6xcqKwlLAQX5J/y2DBz/uZ+MF6ThSUYjSAr4+JtMxCflpzkGXrDlNaZiG/sJThE5cxcXgXV3dPqiG4z20E9+4LQOmObXjFmPn9WqopyowlM/2M69rKSilcuYTAjt0o3rCG4B43kv2f8QAULF1I1FMvODv8cxbYawABPfsAULbrV0xRlaNETZExWLLO3H/KSilaswy/K7pgycnCZK5FzBsz7OtGxRA95VMy/nkv1uNZTu3DuYqIDnAY/ZCdUUjknxT17XhNQ96duBoAk5eR+4ZdUbHsmSHfUatu1aLTnsjUvhemdvbRn9ajuzCERFXM3DEER2I7cfrPzeuGodiyjmL55VsXRXr+TF95lFm/2EdGt4wPJvV45ciJ1NxSYkIdpyXHhPqSdsroirTcEswh9ostDWMCeH+IvVjyvoxClu3IBsAc5kP7hqGEB9oT2ElNI/j1SAFXJlYtTu0JwqMCyE6vPB7IzigkPKryeKC4sIzD+47zyuP26UC52UVMeWYFj4/rTIOmkWSnF/LGcysY8kwHzLXPfIws4knOmqRITEwkIyODmJjTDyd0p9zZn5M7+3MAAq5KIrT/HeT/+D2+LVpjLcjHkuU45zBvzkzy5swEwCu2FnGT3vLoBAXAwG71GditPgBLk9OYseQAvS6vxZa9xwn29zrtSWqQnxeb9+TQpmEY36w5wsDu9WlcJ4SVkyur11/9r5+Y9WwnwoN9WPRK94rnR36wha5tYi6IBAVA0xa1OHwwm6OHc4g2h7D4h2288LLjHVsOHcgivp59SOSq5buoUzfCHaH+La74/AFOFJaxfmc2Ex5o66Kend7AHgkM7JEAwNJNx5i+cDe9r4xny+5sgv29K6Yv/C4m3J8gfy8278qiTUIE36w4wF0n1+/erhZfrzjAkJua8vWKA1x9qX0IZF5BKX6+Xvh4GflyyT4uaxpNUID9QCUrt5jIUD+OZhby47ojzBzTHVdyRf/jIgNYnZJO+6bRZOYWs+/YCeJjAgk5eeeP7LwSIkJ8WbMtnZYN3X/A1qpxFAeO5nI49QQxkQHMX76XSU93dWjT/Yp4vl60i0uaxbDg5/10aB2HwWBg+sTeFW3+8+lGAvy9uetGe0X0J+9rD8Avycf4YHaKEhQe7MTXMznxtX3f7d+hMyF9bqfgpx/wbdYKW0E+lmzHfb3Bzx9jQKD9eaMJ/w5JFCfbC8+WZ2Xg16Y9xVvW49fucsqOHKzyfp6mYP6XFMz/EgDf9h0JuuFWipYvxLtJS2yF+VhzHE9UDX7+GPwD7M8bTfhd1onSbZsoP7CH1Lsrpzua//sNGf+854K4u0dCsyiOHc4j7egJIqID+HnRXh5/0fE7e/RQLrVO3qlpw6pDxJ2c2lhSbK/B4+fvzZa1RzCajMQ3uDAK5lrWz8eyfj4AxsT2mC67Aeu25RhqN4GSQsivevXfq9tdGPwCKZv7H1eHe14M7FiLgR3tF0yWbs9mxsqj9GobzZaDJwj2MxET4jjaMybEhyA/E5sP5NGmbjDfbEivWD8rv5TIIB+sVhvTFh3itg722iSdGofz/tLDFJVa8DYZWbc3l0FJZ54m4W4NmkaQdvgEGcfyCY/y55efDvLw81dVLA8I8uGtb/tVPH552GJuf6QtDZpGUnCilMn/WsatD7WhcasL7852UnOdMUnx8MMPA1BQUEDv3r1p3bo13t6VQ2anTfOs4YKFq5YTcFVn6n35PdaSItL/XXl3j/iPZ3FoUH83Rnd+dGkVw/KtGfR8dqn9FpT3Vt5+65bRK5jzQmcARg1sab8FZZmVzi2jSWp58f4oeXkZeWLkdfzzkRlYrDZu6NOGhgkxvPfWUpq2iKNz1ybM/nw969bsxcvbRHCwH8+9dJO7w/5bnPn5L9qUylUtogjwgEKJv+vSNpblm4/R44nv8fM1Me6hyiGKfUYu5OuX7dX6R93fjmemraO41ELnNrEktbUn2B68qSlPvLGG2Uv2USsqgNeGXQnAniMn+Ne0tRgMkFgnlH8/2L7idR+bsprj+SV4mYyMuu8SQtw49cVZ/X+kb3NGTlvHjSMWgA2euqM14Sfv4vH0wDbcO3YZNmy0aBDOgO4NXdzrqrxMRp5/5EoGP2e/zXC/Hokk1gvnjf9tpGViFN071KV/z8Y8PWk5PQZ/SWiwL5NHdHV32G4x4/4xdG3cjqigMA6N+5YXvnuPD1bNdXdY51XRmhUEXNGJOp9+h62kmIzxoyqW1XpvJkcfvA2Dvz/msa9j8PYBo5GiTes48a39JD9z0hgi/+9pMJmwlZaS+eoYd3XlbylZvxK/9h0xvzvn5C1IK+OPfn06GcMGYvDzJ/L5yfaCoUYjJcnrKfj+KzdGfe5MXkYe+GcHXnpiIVaLje43JFK3YTifvbeRhKZRXNa5Lt/P2k7y+mN4eRkJDPZh6HP2fWJuThEvPbEQg8FARHQAj41KcnNv/h7rrvUYE9rjM/Rd+y1Iv329YpnPkNcpfXcYBEfi1fk2rBmH8BkyBQDLunlYNi3EUCsRn1ufAb8gjI0vw9ZlIKXTHnVXd6qlS9Nwlm/Ppucr6/HzMTLu1sopq7dM3sicf7YDYNQtCRW3IO3cNJykpvYE+7xNGcxYZb+LzbWtIul7mX0UUmiAN/d2rsOANzZjwD6Somszz72AZfIycvfj7Zn41FKsVhtJvRpSp0EoX72fTP2mEbTrWPXuVb9bNGcnaUdO8M3HKXzzsX26/vBJ3QgJ9zvjOiKewGCznb7M79q1a/90xcsvv7xab7D7ypZ/PaqLRMPxPdwdgltlX97O3SG4VcTa098ysqYwBAacvZFcnMJq9nBS46Q57g7BrfbucF/BWU/gE3Tx1fWprpyP+p290UUs4a2V7g7BrXzaVi1YX5OsvfzMyYKaoEPsi+4OwblOfOnuCJwjeIC7IzitM142/T0JcejQIWJiYvD1tV9pKy4uJjPzwrt1k4iIiIiIiIh4trPe3WPYsGEORTONRiPDhg1zalAiIiIiIiIiUvOcNUlhsVjw8akcuujj40NZWZlTgxIRERERERGRmuesSYqIiAgWL15c8XjRokWEh7u/4ruIiIiIiIiI09msF+c/D3XWUv6jR4/mqaee4qWXXsJmsxEXF8f48eNdEZuIiIiIiIiI1CBnTVLUrVuXL774goKCAgACAwOdHpSIiIiIiIiI1DxnTVIALF26lF27dlFSUlLx3NChQ50WlIiIiIiIiIjUPGetSTFq1Cjmz5/Pp59+CsCCBQs4evSo0wMTERERERERkZrlrEmKTZs2MWHCBEJCQhg6dCiff/45+/fvd0FoIiIiIiIiIm7m7gKXNaxw5lmTFH5+fgD4+/uTlpaGt7c3GRkZTg9MRERERERERGqWs9ak6Nq1K3l5eQwePJi+fftiMBjo37+/K2ITERERERERkRrkrEmKRx99FICePXvSrVs3SkpKCA4OdnpgIiIiIiIiIlKznDFJsXDhwj9dsUePHuc9GBERERERERFPYrNZ3B2CUxjcHcAZnDFJsWTJkj9dUUkKERERERERETmfzpikePnll10Zh4iIiIiIiIjUcGetSQGwdOlSdu3aRUlJScVzQ4cOdVpQIiIiIiIiIlLznDVJMWrUKIqLi/nll18YMGAACxYsoFWrVq6ITURERERERMS9rFZ3R1CjGM/WYNOmTUyYMIGQkBCGDh3K559/zv79+10QmoiIiIiIiIjUJGdNUvj5+QHg7+9PWloa3t7eZGRkOD0wEREREREREalZzjrdo2vXruTl5TF48GD69u2LwWCgf//+rohNRERERERERGqQsyYpHn30UQB69uxJt27dKCkpITg42OmBiYiIiIiIiLidTTUpXKlad/fYuHEjR44cwWKxVDzXp08fpwUlIiIiIiIiIjXPWZMUw4cP59ChQzRt2hSTyQSAwWBQkkJEREREREREzquzJilSUlKYP38+BoPBFfGIiIiIiIiISA111rt7JCYm6m4eIiIiIiIiIuJ0ZxxJ8fDDDwNQUFBA7969ad26Nd7e3hXLp02b5vzoRERERERERNxJhTNd6oxJivvvvx+bzcakSZN46623Kp7//TkRERERERERkfPpjEmKyy+/HIDy8vKK//5dcXGxc6MSERERERERkRrnjEmKGTNm8Nlnn3Ho0CFuvPHGiucLCgpo166dS4ITERERERERkZrjjEmKG2+8kaSkJCZPnsyTTz5Z8XxgYCBhYWEuCU5ERERERETErVSTwqXOmKQIDg4mODiYyZMnuzIeEREREREREamhznoLUhERERERERERV1CSQkREREREREQ8whmne5wvjb55zNlv4bEMfqHuDsGtjnd7yd0huFXkFw+4OwRxp/x8d0fgNrY9B90dglvt3VHk7hDcqmFTf3eH4FaZrw1zdwhu0+Dp990dglv5vnCXu0NwK0NEPXeH4Fb+LR5xdwju9euL7o7AuVSTwqU0kkJEREREREREPIKSFCIiIiIiIiLiEZSkEBERERERERGP4PSaFCIiIiIiIiIXLKtqUriSRlKIiIiIiIiIiEdQkkJEREREREREPIKSFCIiIiIiIiLiEZSkEBERERERERGPoMKZIiIiIiIiImdiU+FMV9JIChERERERERHxCEpSiIiIiIiIiIhHUJJCRERERERERDyCalKIiIiIiIiInIlqUriURlKIiIiIiIiIiEdQkkJEREREREREPIKSFCIiIiIiIiLiEVSTQkRERERERORMVJPCpTSSQkREREREREQ8gpIUIiIiIiIiIuIRlKQQEREREREREY+gmhQiIiIiIiIiZ2JVTQpX0kgKEREREREREfEISlKIiIiIiIiIiEdQkkJEREREREREPIKSFCIiIiIiIiLiEVQ4U0RERERERORMbCqc6UoaSSEiIiIiIiIiHkFJChERERERERHxCEpSiIiIiIiIiIhHUE0KERERERERkTNRTQqX0kgKEREREREREfEISlKIiIiIiIiIiEdQkkJEREREREREPIJqUoiIiIiIiIiciVU1KVzpgkpSrPhlH2NfX4LVaqP/DS0ZctcVDstLS8sZMfZ7tv2WTliIH5NH30CduFBKyyy8MPFHUn5Lw2gw8MywblxxSTz5haXc9ejnFeunZpzgph7Neeaxbq7u2l+2fNUuxr46H6vVxoCb2zHk3iSH5es27mfc5O/5bXcak8cO4LqrWzgsz88vptdtb3JNl6aMevoGV4Z+3kQ9MZKAqzpjKy4m/aVnKdm5vUqbuNem4RUZDSYTxVs2kjHp32C14pPQhJinn8cQEED5saOkvjACW2GBG3pRfSvWHmTs1J/t2//1zRhyRzuH5aWlFkaMX8y2XRn27f+5a6kTGwLAb3uzGPXaMgoKSzEYDMya2g9fHy+++2kX78zYiMEAMZGBTBx5NeGh/u7o3lmd7/6XlVu564mvK9ZPzSjgpmsSeeYfnVzar+pYsfEIY/+73t73axMY0q+lw/LSMgsjpqxk255swoJ9mPxUEnXMQazcfJRXP9lEWbkVby8jT9/bjg6t4yrWeendtazdZv9dfHxgW3peVc8d3Tsrm83GuNk7Wb4tEz8fE+Puak6L+JAq7bYdzGPkp9soKbOS1CKKZ/o1xmAw8MQHW9mfbv9+5xWVE+LvxZx/dSCnoJTH399KyoE8+lwRx/O3NnV11/6WiP8bQcAVnbAVF5Mx/nlKd+2o0sY8fiqmyCgMJi+KkzeS9fo4+29foyZE/vM5DD4+YLGQOWUcpTtS3NCL8+/9u5/lhlYdST+RQ6uXBro7HKdYs3IXU8b/gMVq5cZb2nHP4M4Oyz/7ZBVz52zEZDISFh7IM6NvJq5WGABvvfYjq1bsBOC+IV245rqWVV7f0/n0exRT88uhtISS6ROwHt7t2MDbF9/7R2GMigOrlfKUNZTN/W/FYtMlXfC5/h6w2bAe2UvJJ+Nc3IO/b8WaPYydsgirxUr/G9sy5J4rHZav23SQl19fxG970nl1dB+u627/Pdu+M40XJ/5AQWEpRqOBhwddRa9rmrujC+dk+YptjB37BVarlQH9OzJkyHUOyz/8cBFfzvoZk8lEREQQ48beQ+3akQAMfuANtmzZx6XtEnjnnUfdEf55UeuZZwlJSsJaVMyhZ0ZStP3XM7at/+ZUfOLrsPPmmxyej773Pmo9PYKUqzpgOX7c2SGL/G0XTJLCYrEyZvJiPnitP+boYAY8OJ3uHRNIaBBZ0WbWvBRCgv1Y+Plg5i3awavTlvPa6Bv5cm4yAHM/HkRWTiEPPjWbWe/dRVCAD19/eE/F+n0H/49rkxJd3re/ymKxMmbCd3z45iDM5hD6D3qH7klNSWgYU9EmLjaUl1+4hQ8+XXna15gy7Scuu8QzT0iqI+DKznjH1+XggF74tmhN9NPPc/iBO6u0S332yYrkQ+y41wjq3pP8Rd8TM3I0mW9OonjTeoJvuIXwu+4j+903Xd2NarNYrIz5zwo+GH8j5uhABjw6m+5X1SehXkRFm1nfbyck2JeFnwxk3pJdvPreGl57vgflFivDX17EhH9dTdNGUeTkFuNlMlJusTJu6s/Me/92wkP9mfjuaj79OoX/G3SZG3t6es7ov6+PF1+/c2vF+n0f+ZJrOzV0R/f+lMViZcw7a/lg9DWYIwMYMPx7ul9eh4T4sIo2s37cTUiQDwun9WHein28+slGXhueRHiIH28/1w1zRAA7D+TwwOjFLP+gPwDTZqUQGebHgql9sFpt5OaXuKuLZ7X81ywOpBfyw6ir2LI/jzEzdzDzqcurtBs9cwdj7mhOm/ohPPT2Zlb8mkVSiyheu79VRZvxX+0kyN++6/P1MvFY70bsOpbPrqP5LuvPufC/ohPetety+K4b8W3WisgnnuPYP+6q0i599PCK376Y0a8S2KUHBUt+IOKhJzj+8TSK1q7E/4pORDz0OKlPPODqbjjFR6vn8ebSWXxy7yh3h+IUFouVSePm8/o7dxNjDmHwne/RuWsTGjSq3Pc3bhrHBzOG4Ofvw1dfrGPqaz/y0sQBrFy+k507jvHxFw9TVmrh0Qc+4spOCQQG+bmxR3+NqfnlGKJrU/TSIIz1m+Fz6zCKJ/9flXZlP32BddcWMHnhN3Qi1maXYdm+DkN0bbyvvYOi14ZBUT4EhZ3mXTyTxWJlzKSFfPD67ZhjQhgw+CO6d04koUFURZu42BBefu4GPpjxi8O6fn5ejB91I/XjI0jLOEH/+z+k0xUNCQm+cD57i8XKmDGf8eEHwzCbw+k/4GW6d29NQkKtijbNmsUze9Yz+Pv7MOOzZUyc9BVTXnsQgAcG96CoqJSZM1e4qwvnLDgpCd969dhxXU8CWreh9gsvsPv2207bNvSaa7EWFlZ53js2luCrOlJ69IizwxU5ZxdMTYrk7anUrR1GfK0wfLxN9Lq6CYt/dsygL16xmz7X2UcM9OzamNUbDmKz2dizP4sO7eoCEBkeQEiQHyk7Uh3W3Xcwm+zjhbRvU9s1HToHydsOUy8+gvg6Efh4e9H72lYsXuZ4Ja1OrXCaJsZiNBiqrJ+y/ShZ2fl0vCLBVSGfd4FJ3Tjx/bcAlGxLxhgUjCkyqkq7itERJi8M3t5gswHgXbcexZvWA1C0djVBXa91TeB/U/Jv6dStFUp8rRD79t81gcUr9zu0WbxqP316NAGgZ1IjVm86gs1mY+X6QzRpGEnTRva/T3ioHyaTEZvNhs0GhcXl2Gw28gtLiYkMdHXXqsUZ/T/VvsPHyT5eRPtWcS7pz1+RvCuLunHBxMcG2/veqR6Lfznk0Gbx2kP06dYIgJ5X1WN1cio2m43mDSMwRwQAkFg3jJJSC6VlFgC+WrS7YkSG0WggPMRzD1h/2prBzZfHYTAYaNsglLyictJzHZMq6bkl5BeX07ZBKAaDgZsvj2Px1gyHNjabjR82pdH70lgAAnxNXNooDF+vC2ZXSEDHbuQvnAtAyfatGAODMUWc5bfPyxuw//bZsGEMDALAGBiEJSujyroXqhW7N5NdkOfuMJzm15Qj1ImPoHadCLy9vbjmupasWPqbQ5tLL2+An78PAC1a1SE93f732L83g7bt6uHlZcI/wIeERDNrVu6u8h6ezNTqKsrX/giAdf92DP5BGEIiHBuVldgTFACWcqyHdmEIiwbA68pelK/4xp6gAMi/cK4iJ/96lLp1womvHW7fD1zTjMUnR8X8rk5cGE0SYjAYHY/7GtSNpH68/e9kjg4mIjyQ7ONVT2A9WXLyfurVjSE+PhofHy9697qMxYuTHdp06NAE/5Pbfts2DUhNzalYduWVTQkM9HVpzOdbaPeryfnmGwAKk7dgCg7BKyq6SjtjQADRg+4l7Z23qyyrNWIkR1+d+PvuQMSjXTBHZmkZ+cTFBFc8jo0OJi3T8cpXemZlGy8vI8GBvhzPLaJJQgw/rdxDebmVw0dz2bYzjWPpJxzWnb/4N67v3gTDaU7qPU1axglizaEVj83mENIyqndgZrVaGT/lB0YM6+ms8FzCK9pMeVploqk8Iw2vaPNp29Z67R0azF+GtbCA/CULASjdt4fApO4ABHXvgVdMrPODPgdpmQXExVQmEGKjA0nLcpyekp6VT1y0/eTDy2QkONCH43nF7D98HIPBwOAR39H34S/578xNAHh7mXhhWBI3PTiTpNs+Yc+BHPpf75nD3Z3R/1PNX7Kb67smeOT3Py27kLioU/oeGUhadpFDm/TsQuKi7MkIL5OR4ABvjp9wPIlfsPogzRtG4ONtIi+/FIDXZ2yh7z/nMWzCMjKPO76mJ0k7XkJseGUSJTbM97RJCnNYZRtzmC9pxx3brN9znMhgH+rHBDg34P9n787joirbP45/ZgbZN0EYEHHJPXFrddcwc6vU1MfMLMsWfZ4WzerJTEtzyTbTyiyzxdKyNM1dCzVNszRN3E1T3GBAAUF2Zub3x/RA80OLUphBvu/Xi5fOOddhrps5c+bMde77PmXIo1o4hcmWosfWMxZM1cIvU72migAAIABJREFUGGt++R1qLl6PLSeLrO8cX+5S33qZkIdHEr1gDSHDRpE2e0a55C2XLiU5A3NE8TCnsPBAUiwX/+xfvngHrdo6LkbUa2Bm65bD5Obkk56WxY5tR7EkVayCjiGoGvb04qKaPT0FQ1DJAl0RHz9MMa2xHnIc843hNTCE1cB7xBt4P/Empsbu12vwYiwp54k0F7/2EWEBWFIy/2SLC4vfd5qCAis1o6pezvTKnMWSRkRkcc7miGAslrSLxi9cuJkOHSrecKY/UyXcTEFSYtHjAksSVcwlz3sjHn2M5I8+xJaT67Q8MDaWgmQLuQcPlthGSslmvzJ/3FSpihS33XZbiZ+77rqLyZMnk5Z28YOEu+jbI4aIMH/6Pfgpk99cT8uY6pj+X6V5ZdwBet7c2EUZlp/5C7fRoW19pyLHle70yIc5dttNGKp44nOtYx6T5EljCbrjTmp8uACDrx/2wgIXZ1l2Cq12ft6TyKvPdmbeG7355vuj/LDjJAWFVj5ftpfFs/qzccE9NLgqlPc+K/kFvqK7WPv/aOX6w/S8yf2Hev1Tvx5P57WPdzB+eCsArDYbSWezadkojK9e70mLhmG8/OHPLs6y7K34OamoF0VlYHl6OCf6dsZQxRPvlo7hMQG9/sXZma9wYkBXUme+QrWnXnBtklImVi/fxYF9pxk0pC0AN7apR+t29Xn43jk8/8wiYppHYzK5X1H2sjEa8bp3DAUbF2M/+/sXO6MJY1gUuTNGkffRJDzvHAk+7tl7sCwknznP0xOWMXlMT4zGK/e1/3rpj+zZe5wHhrp3D9my4N2oEZ7RNcmI+9ZpucHbm/CHHibpTRWlpeIo1ZwU7du3x2QyceutjgkWV65cSU5ODtWqVWP06NHMmjWrTJMEMIf5O/V+SErJxFzN3ykmvJojJiI8gMJCG5lZeQQH+WAwGBj9h8kw7xw+v6jrG8CBw8kUWu3ENLzwlXh3Yw4LIMlyruixxZKBOazkJHIXsjP+BD//ksBnC7eRlZ1PQaEVXx9Pnnz0lrJK97IJ6nsngbc7xtPn7t+Dh7n4y4ZHmJnCFMvFNsWen0/WpvX4dbiJnG0/UJBwlNMjHgKgSnQt/Np2uOi27sBczY/E5OKeA0kpWZj/39CM8FB/ElPOExHmT6HVRmZWPsGB3kSE+XFd08iiCTE73liTfb+m4O/r6BZZs7qjYNW9Y11mf+6eRYqyaH/ra2oAcODIGQqtNmIalOw26Q7MIb4knvlD289mYQ5xntw0PMSXxDPZRFTzc7Q9u4DgAEfX1qQzWTzy0gamjmhLzUhHT7PgAC98vEzc0soxDK5bm1os+ta9un7P23iChVsc42ZjagaSlFZ8VSgpPY/wIOeuu+FBXljSi2Ms6XmYg4tjCq02vt2VwsKnSs5l4e4Ceg8goOcdAOQf2ItHuJn/9RExVTNjPZN80W3tBflkb16PX9ubyP15KwG33Ebqm1MByNqwlmpPPl/W6ctlEhYe6NT7ISU5gzBzyc/+bVuP8PH7m3h7zhA8PYtP84Y82IEhDzo+655/ZiHRtUJLbOtuPNrfjkfrHgDYjh8qGroBYAgOw37uzAW387zzCewppyjc8FXRMnt6CraEA2CzYk9Nwp58EmNYDWzH3f/KsjnMn8Q/9JpJSsnEHBbwJ1s4O5+Vx7Anv2DEQx1pEeP+w5r/P7O5KkmJxRdFLUnpmM0le4Ns2bKfWbNW8eknT+DpWaU8UywToQPvIrR/fwCyd++mSkTxkNQq5ggKLM7nvX7NW+AbE0Pjb+LAZMIjNIS6H83l1KSJeEbVoOHir3/f1kyDRV/x64B/UXjmwu8hEVcrVU+KH374gVGjRtGwYUMaNmzIyJEj2bZtGw899BCnTpXP5CtNG0WQcDKdk6fPkV9gZWXcQWLb1XWKiW1XlyWr9wKwZsMhWl1TE4PBQE5uAdk5jivlm7cdw8NkdJpwc8W3B+h5c8Nyacfl0PTqKI4dT+XEqTTyCwpZ8c1uYjuUrpv+axP7sWH5KNYtfYL/Pt6V3j2aV4gCBcC5RZ9z4t5+nLi3H1kb1xHQ3TFjsVeTZtiyzmM963ygNfj4FM9TYTLh26YDBQlHHQ+r/l6kMhioet/DnFv8Rbm1459o2jCchFPpnEzMcOz/Gw4T26a2U0xsm9osWes42Vqz8QitWkRhMBhod11Nfj2aSk5uAYVWG9t2naZurRDCq/lxJCGN1N+7+W/5+SRX1XTPLqBl0f7/WbHuMD1j3Xd+lqb1Q0lIzOSkJdPR9u8TiL0h2ikm9oZolqw/AsCaLQm0ahqBwWAg43w+D09cz6jB13BN4+IhAQaDgZuur8FPexxDpn6IT6JutHv1rhrUIZrFz7Ri8TOt6NwsnK9/SsRut/PL0XMEeHtcsEjh7+3BL0fPYbfb+fqnRGKbFn+h+eFgKnXMvk7DRiqKzCULOP3gAE4/OICszevxv+U2ALwaN8WedR5r6v879nn7FM9TYTTh06oD+ccdx77Csyl4N78OAO9rbqDg1PHya4hcksZNqnPy+FlOn0yjoKCQb1fvoV1H53OXg/sTmfricl6ePpCQ0OILOVarjXO/z0Nw+FAShw9ZuKG18zmUOyrctJTcl4eR+/IwrPGb8bjBcXXcWLsx9tws7BmpJbap0vM+DN5+5H8102m5dfcWjPWaOx74BWIIr4HtTGKJ7d1R08bVSTiZxsnT6Y7PgW/3E9uudL3/8gusPPLMInp1jym640dF07RpLY4lJHPi5Bny8wtZsXIbsbHNnGL27TvOuOfn8c7M4YSGlu7Cnbs7+9l8Dt3Rh0N39OFcXBxVe/UCwLdZc2yZmRSecZ5T6OyCz9nXqQP7u3Tm8N2DyDt2jCND7iH310Psa9+W/V06s79LZwosFg71vUMFCnFrpepJYbVaiY+Pp1kzxwEhPj4eq9Ux+ZrJZCq77P7Aw8PI2JGxDB21CJvNRt+eMdSvU40Z728mppGZ2Hb16NezKU9PXMUtd84hKNCb11/oCcDZtGweGLUIo9GAuZo/U5/r4fS7V607xHuv9CmXdlwOHh4mxj3dkwcem4vVaqPv7ddQv24402fFEdM4is4dGxG/9xSPPP0ZGRk5rP/+IG++u44VX5ScBbuiyt6yEd827an15SpseTkkTxxbtC7644WcuLcfRm9fIl9+y3GrPYOBnB0/FRUj/Lv0IKjvnQBkbfiWzOWLXdKO0vIwGRn7aHuGPrMcm81O326NqF87hBkf/URMgzBi29ShX/dGPP1SHLfcM4+gAG9eH+M4mQsK8GJIv+b0/88iDAbocEMtOrVy3NnlP4Ov4+4nluBhMlLdHMCUp2Jd2cyLKqv2A6z67jDvTe7pqqb9JQ+TkbEP3sDQ8XHYrHb63lyP+jWDmTH/F2LqhRJ7QzT9bq7H0298zy3DlhAU4Mnroxy3JZy38gDHEzOYuSCemQsck4zNeaEzocE+jLrnGv77xmYmz9lOSKA3kx9r48pm/qmOTULZuO8MXSdswbuKkcl3F99Suc9LW1n8jGMYy7gBjYpuQdq+cSgdri4uRq/82XLBoR6dn/+erNxCCgrtxO1O4f1/t6RepH+JOHeRs3UTvje2o8any7Hn5ZIytfhOFtVnO4oZBh8fzJOmY6jiCUYjOTu3kbn0SwDOvDqB0EefBpMJe34+Z16b4KqmXHbz759ApwbXUM0/mBOTl/L88tl8sGWZq9O6bDw8TDwxugcjh3+C1Wbn1t4tuapeOLPfXkejJtVp36kRb09bS052Ps895fisM0cE8fKMuygstDL8vg8A8PPz4vnJd+DhUT7nb5eLdd+PmJrcgM+4ub/fgvSVonXeT88i9+VhGIKr4dl1ELakBLyfckwcWLjpawp/WIV1/zZMja7F59k5YLOR//V7kF0x5uXw8DAy9okuDB35ueNz4NZm1L8qjBmzNxLTKJLY9vXZve80j4z+iozMXNZ//ytvzdnE8nkPsjpuP9t/OUF6Rg6LV+4GYMqYW2ncoGL0Hobfz3vHDuCBoTOw2mz07duG+vWrM33GUmJiatE5tjkvv/IV2dl5PD5iNgCRkSHMeuffANw16FV++y2J7Ow8OnR8hkkTB9O+fZM/e0q3k7nxOwI7dKDR6rXYcnM5MebZonUNvlrMoTsqzvcYkdIw2O32v5wxIz4+njFjxpCV5ehy7Ofnx6RJk6hXrx4bNmygR48eF93Wnvze5cu2gjF4u9eVyfJ2uOuLrk7Bpep+cWXc1k/+ofMV45aWZcF+omJcnSwrCVO+d3UKLnVVI5+/DrqCnZn2uKtTcBnvp+e4OgWX8n2+5O2AKxNDSMW9tf3lsKvJcFen4FLN9x3466AKzP7rFFenUCYM9Ue7OoULKlVPimbNmrFs2TIyMx1zQgQEFI+D+7MChYiIiIiIiIhIaZWqSJGfn8+aNWs4deoUhYWFRcsfeeSRMktMRERERERERCqXUhUphg8fTkBAAE2aNMHT07OscxIRERERERGRSqhURQqLxcKcOZV7nKGIiIiIiIhUQjabqzOoVEp1C9KWLVty8KD730daRERERERERCquUvWk+Pnnn1m8eDFRUVFOwz2WLbtybu0lIiIiIiIiIq5VqiLF7NmzyzoPEREREREREankSlWkiIqKAuDs2bPk5eWVaUIiIiIiIiIibsNmd3UGlUqpihRxcXFMnTqV5ORkQkJCOH36NHXr1mXFihVlnZ+IiIiIiIiIVBKlmjhz+vTpLFiwgNq1a7Nu3To++ugjmjdvXta5iYiIiIiIiEglUqoihYeHB1WrVsVms2Gz2WjVqhV79uwp69xEREREREREpBIp1XCPwMBAsrKyuP7663nyyScJCQnB19e3rHMTERERERERcS2bzdUZVCql6kkxc+ZMvL29GT16NO3bt6dmzZq88847ZZ2biIiIiIiIiFQipSpSnD59GpPJhIeHB3369OGee+7h0KFDZZ2biIiIiIiIiFQipSpSjBgxgvfeew+73U5ubi4vvvgir7/+elnnJiIiIiIiIiKVSKmKFF988QVJSUnceeed9OvXj/DwcD777LOyzk1EREREREREKpFSTZzp4eGBl5cXubm55OXlUaNGDYzGUtU3RERERERERCouTZxZrkpVaejXrx/e3t4sWrSIefPmsXz5ch577LGyzk1EREREREREKpFSFSkmTpxIrVq1mDVrFuHh4YwdO5ZGjRqVdW4iIiIiIiIiUomUqkixaNEidu3axYoVKwDw8/MjLi6uTBMTERERERERkcqlVHNSxMfHs3jxYnr37g1AUFAQhYWFZZqYiIiIiIiIiMvZ7K7OoFIpVU8KDw8PrFYrBoMBgNTU1KL/i4iIiIiIiMiVZ+PGjXTt2pUuXbrw3nvvlVifn5/PiBEj6NKlC/379+fkyZOX/JylKlIMHjyY//znP5w9e5Zp06YxcOBAHn744Ut+chERERERERFxP1arlQkTJvD++++zYsUKli9fzuHDh51ivvzySwIDA/nmm28YMmQIr7766iU/b6mGe9x+++00adKErVu3YrfbmTlzJnXr1r3kJxcRERERERER9xMfH0+tWrWIjo4GoGfPnsTFxVGvXr2imHXr1vHII48A0LVrVyZMmIDdbr+kkRelKlIA1K1bV4UJERERERERqVxsNldn4BIWi4WIiIiix2azmfj4+BIxkZGRgGOaiICAANLS0ggJCfnHz1vqIoWIiIiIiIiIXBkWLFjAggULih4PGDCAAQMGuDAjBxUpRERERERERCqZvypKmM1mkpKSih5bLBbMZnOJmMTERCIiIigsLCQzM5OqVateUl6lmjhTRERERERERCqPpk2bcuzYMU6cOEF+fj4rVqwgNjbWKSY2NpbFixcDsGbNGlq1anXJdwJVTwoRERERERGRi7HZXZ2BS3h4eDBu3DgeeOABrFYrffv2pX79+kyfPp2YmBg6d+5Mv379eOqpp+jSpQtBQUFMmzbt0p/3MuQuIiIiIiIiIleYjh070rFjR6dljz/+eNH/vby8mDFjxmV9Tg33EBERERERERG3oCKFiIiIiIiIiLgFFSlERERERERExC1oTgoRERERERGRi7HZXJ1BpVLmRQpDWP2yfgq3ZU/51dUpuFStoU1dnYJLGao3cXUKLmU/ucvVKbhWfoGrM3AdD5OrM3ApT39PV6fgUmemPf7XQVewaiOnuzoFl5k3K83VKbjUndOjXZ2CS13aDQcrPqP6p4tcNno7iYiIiIiIiIhbUJFCRERERERERNyC5qQQERERERERuRjNSVGu1JNCRERERERERNyCihQiIiIiIiIi4hZUpBARERERERERt6A5KUREREREREQuwm63uzqFMuGutw5WTwoRERERERERcQsqUoiIiIiIiIiIW1CRQkRERERERETcguakEBEREREREbkYm83VGVQq6kkhIiIiIiIiIm5BRQoRERERERERcQsqUoiIiIiIiIiIW1CRQkRERERERETcgibOFBEREREREbkYTZxZrtSTQkRERERERETcgooUIiIiIiIiIuIWVKQQEREREREREbegOSlERERERERELsZmd3UGlYp6UoiIiIiIiIiIW1CRQkRERERERETcgooUIiIiIiIiIuIWNCeFiIiIiIiIyMXYbK7OoFJRTwoRERERERERcQsqUoiIiIiIiIiIW1CRQkRERERERETcguakEBEREREREbkYzUlRrtSTQkRERERERETcgooUIiIiIiIiIuIWVKQQEREREREREbegIoWIiIiIiIiIuAVNnCkiIiIiIiJyMTa7qzOoVNSTQkRERERERETcQoXuSbFx014mTfoCm81G/35teeihbk7rP/zwW75c+D0mk4mQEH8mT7qHqKhQAIY+MINdu45y7TX1ePfd/7gi/b9t049HmTR9PTabnX63xvDQ3Tc6rc/PL+S/k1ax92AywYHevD7+VmpEBpFfYOX5V75hz0ELRoOBZx+/iRtbRju2KbDy4rQ4ftp5EqMRRjzYjq6dGriieX+L3W5nyrqTbPotA28PA5N61OZqs2+JuOmbTrF0byoZuVa2jWhRtHzJnrO8tuEU4f5VABh4TRj9mlUrt/wv1cZN+5g0ZSE2q43+/drw0IO3OK3ftv0wk6cs5OCh07z+6n1069qyaN0rry3hu+/2AvDv4d3o0f3acs39n9q07QST3vnBsf93a8hDd7ZwWp+fb+W/r2xg769nCA7w4vUxnakREcDJpEx6PvAldWoEAdC8cTjjH2/vtO3wcWs4mZjJstn9yq09f2XTL4lM+nCHo72dr+Kh3lc7rc8vsPLft7ay97c0ggM8eX1EG2qE+wPw7uJ9LFr3G0ajgTH3XUP7FpEAxP5nKX7eVTAZDZhMBha91BWAkdM2c/R0JgAZ2fkE+nqy5BXn46kr2e12Jn9xgI17U/D2NDH5nqY0qRlYIm5vwjlGz91DXoGVDk3CePZfjTAYDLy1/DBffn+SkABPAEb0qk/HmDDyC228MH8vexIyMBrg2X815oYGIeXdvL8t6KFReF/bFnteLmnTx1Nw5GCJmNAXZmAKCQWTB/l7d5I+62Wn26f59x5E0NARJA66GVvGufJM/5Js3fwrb0xdjdVm47Y+13DPUOf38mdzt7Bs8Q5MJiPBVf14dnwvIqsHA/D2tG/YsukQAPc91JGbu8WUe/5lac7gMdzatC3JmWk0fXGQq9MpE9dOH0P1Hh0pzM5l65BnSNu5r0RM5/Vz8YkMx5qTC8C6W+4nLyUV3+hIWn88lSrBARhMJnY98yqnV20s7yb8Y5s27WXypC8dnwn92vDgQ12d1n/0YRwLF27GZDISEhLAxEl3ExUVyv79Jxj/wuecz8rFZDTw8LBu9OhxnYta8c9VtnP+C4kcPYaA9h2w5eZycsxocveX3P//p9abM/GsUYNf+9wOgPmRxwiI7Qw2G4WpqZwcM5rClOTySl3kb6uwRQqr1caECZ/x4QePYzZXpV//KcTGNqNevepFMY0bR7No4bP4+Hgy/7PveOXVr3hj2oMAPDD0FnJy8lmwYJOrmvC3WK02JrwexwfT+mEOC6D/g/OIbVuPenVCi2IWrthDYIA3az8fyopvD/DarI1MG38bXy6LB2DZx/dyNi2bB59cxMLZd2M0Gpg1dyuhVX1Z89n92Gx2zmXkuKqJf8umoxkcT8tj5QNXE5+YzYvfHOezuxuViOtUN5i7WobT4/29JdZ1a1SVMTdHl0e6l5XVamPCxC/48P1HMJuD6TfgFWJvakq9epFFMZGRVZkyeTAffBjntO2G7/awb98Jlnz1DPn5hQweMp0O7a/G39+nvJvxt1itNia8tZkPXuqBuZof/R9dQmzrWtSrVbUoZuHqgwT6e7L2owGsWH+E1+b8xLQxnQGoGRnIkll9L/i7135/FF+fKuXSjtKy2mxMmLOdD567CXOoD/1Hf0PsdVHU+73QArBw3W8E+nmy9s1bWbE5gdfm7WLayLYcPnmOlVuOs/z17iSn5XDfi+tZPb0nJqOj49zc52OpGujl9HzTRrYt+v9Lc3cS4Otef4+Ne8+QkJzN6vHt2XX0HBM+28eC/7YqETf+s31MGNSE5nWCePitHWzae4YOMWEA3Nu5Fvd3qeMU/+X3JwFYOrYtZzPyeOitHXz5TCuMRkPZN+of8rq2DR7Va2J5+A6qNIwhePgzpDx5X4m41KmjsedkARAyeio+bTuTs+kbAEzVzHi1vJHC5MRyzf1SWa02Xp28kunvDibcHMjQu2bTvlND6tQNL4pp0CiSD+Y/hLePJ199sY2Z077hxVf6s3njIQ4dSOTjL4ZRkG/lPw98ROt29fDz93Zhiy6vj35YwVsbFjJ3yDhXp1ImqnfvQED92iyrfwuhNzbn+ndeYG2rf10wdsugJ0n9eY/TspjnhpPwxSoOz/qMwMZ16bTyPZbW6VweqV8yq9XGixMWMOeDxzCbg/lX/6ncFNvM6XO/ceMafLnwGXx8PPnss428+upipk17AG9vT16aei+1a4eTbEmnb7+XaNfuagIDS17YcVeV7Zz/QgLad8CrZi0O9eiKT7PmRI19niN3DbhgbODNXbBlZzstS/lwDpa3ZgAQOmgw4cP/zekJL5R12iL/WKmGe6Snp5dYduLEicuezN8RH3+MWjXDiY4Ow9PTg549ricuLt4pplWrhvj4OK6ctWheh6SktKJ1rVs3ws/P+UTdncXvT6JmVDDR1YPxrGKiR+eGxH1/2CkmbtNhendrAkDXTg344efj2O12jhw7S6tragIQWtWXQH9v9hxIAuCrlXuKemQYjQaqBleMD631v57j9iYhGAwGmlf3IzPXSsr5ghJxzav7EebvXl+4LlX87mPUqlmN6Ohqjn2/+zXErXPe92tEhdKoYVSJL1uHDydx3XX18PAw4evrRcMGUWzctL880/9H4g+mULN6INGRgY79v2Nd4rYkOMXE/XCM3l0cvYC6dqjDDztPYbf/+fjBrJwCPlq0m+F3tfzTuPIWfziVmhEBRJv98fQw0aNNTeK2nXKKidt+it6dHF+6u7aK5oc9Fux2O3HbTtGjTU08q5ioEe5PzYgA4g+nlup57XY7q384Ts+2tS57my7Ful3J9GpVHYPBQIurgsnILiD5XJ5TTPK5PM7nWmlxVTAGg4FeraoTt+vPrxIdSTzPjQ0dhd7QQC8CfT3Yc9y9exX4tOpI9roVABQc3IPBLwBj1dAScf8rUGAygUcV+MNbIeiBkZz78E34i/eHu9m35xQ1okOIqhFClSoe3Nwthk0bnHuRXHtDHbx//9xv0rQGyckZABz7LYUW19TCw8OEj68n9eqb2br5cInnqMg2Hf6F1KwMV6dRZqJ6debo3CUAnP1xF57BgXhHhJV6e7vdTpVAR28zz6AAck5XnKvI8fHHqFkzrOhzv0ePa1kXt8sp5sY/nPM2b14HS5Lj3L1OHTO1azsKeeHmYEJDAkhNPV++DbhEle2c/0ICbupM2tKvAciJ34UpIBCPaiX3f6OPL9XuGULyu+84LbdlZf0hxqfCHf/dgs12Zf64qVIVKYYNG8b588UHtMOHDzN8+PAyS6o0LJY0IiKLr6KaI4KxWNIuGr9w4WY6dKi4XTstKeeJDA8oehwRFoDljPOHTPKZ4hgPDyMBfl6kn8uhYb1w1m0+QmGhjZOnz7H3kIXE5EwyMh1dIae/v5k77v+Ex8cu40xqFhWB5Xw+Eb933QYwB3hiOZ//t37HN4fS6PPhPkZ+/RuJGX9vW1eyWM4REfHHfb8qluTSfbFq1CiKTd/vJycnn9S08/z40yGnD3J3ZTmTRWSYf9HjiDA/LGed99XkM9lEhvkB4GEyEuDnSXqG44vsyaRM+gz/irtHLWP77uKrxzM+2s59fZvi7eVencosqTlEhhYXDCNCfbCkOvdySv5DjIfJSIBvFdIz80tuG1K8rQEDQydt4I7/rmHBtyW/oG3fn0JokDe1IwNKrHMlS3oeEVWLr3hHVPUmOT3XKSY5PRdzcPFJqDnYG0t6cSFj3obj9Jq4mTFz93Auy1HQbFQjgPXxyRRabZw8k83e4xkkpTr/XndjCg3DesZS9Nh6NhlTaPgFY0PHzyDy07XYc7LI2eLoVeV9YwesZ1MoPPZrueR7OaUkZ2COKB7mExYeSIrl4l/Kly/eQau29QCo18DM1i2Hyc3JJz0tix3bjmJJunK/0F+JfKPMZJ9IKnqcfTIJ3yjzBWNbfTiZ7juXEPPcv4uW7X7hLercfRu9T3xHp5Xvsf3RiWWe8+WSbEn/f+e8VbFYLv65v2jhFtp3aFJieXz8MQoKCqlZs+IMb4XKd85/IVXMZgqSis9fCixJVDGX3P/Njz7GmY8/xJZb8rPM/NgIGn67nuCetxb1qhBxV6UuUgwbNoysrCz27NnD448/ziuvvFLWuV02Xy/9kT17j/PA0C5pgUFeAAAgAElEQVSuTsUl+vaIISLMn34PfsrkN9fTMqY6JqMBq9VGUvJ5WsZU56sPBtOiSSQvv/2dq9MtF53qBrH2oRgW33c1rWsFMGbVMVenVC7atW1Mx/ZXc+ddrzHqyQ9p0bwORtOVPX9ueIgv6+YNZPE7d/DMw614csp6zmfls//IWY4nZtClXZ2//iVXiPkvduarqV2Z/WxH5q85zLZ9zlcSV2x2v14Ul8OdHaJZ+2IHFj/bhrAgL15e5Lj6fkebKMzB3vR/aStTvjxAi6uC3Xqox9919vnHSLynO4Yqnng1uw6DlxcB/e8jY94sV6dW5lYv38WBfacZNMQxlOnGNvVo3a4+D987h+efWURM82hMpivntZZiWwY9ycpmt/NN+0GEtb+WOoN7AVB7YE9++2gxS6I7sqHHQ7T55GUwXHn7wNKlP7JnbwJDh97stDw5+Rz/ffojJk2+B6Pxyv3cr8zn/N4NG+EZXZOMuG8vuN4y4w0O3nwT6SuWE3rX3eWcncjfU6rLh506daKwsJChQ4eSlZXFW2+9RZ06rj2xN5urkpRYXEW1JKVjNlctEbdly35mzVrFp588gadnxe32bw7zJzE5s+hxUkom5mr+TjHh1RwxEeEBFBbayMzKIzjIB4PBwOjHbiqKu3P4fGpHhxAc5IOPtwe3dKwPQLebGrBohfMYTnfy2Y4UFsafASAm0pekzOLeD5bMfMz+nhfbtIRgn+Jdv2+zarz+3ak/iXYvZnOQU+8HS1Ia5vCgP9nC2fBh3Rg+zDHh1KinPqROrQtfhXUn5mp+JKYU9xxKSsnCHOrnFBNezZfElCwiwvwptNrIzMonONALg8GAp6cJgJgGYURXD+ToqXPsOZjCnkNniB38GVarndT0HAY/uZxPXr21XNt2IeYQHxLPFo8nTTqbgznEed6Q8N9jIkJ9He3NLiA4wLPktqnF25pDHD0sQoO8ufn6KOIPp3L91Y7Xv9Bq45ufThRNpulq8zYcZ+Fmx5wRMbUCSUorviqUlJZLeLDzXALh/6/nhOUPPSuq/WEOjv7tajDs7R2AowfK6P7Fc9kMfOVHapud9yt34NejP75dewNQ8Os+TNWKr56ZQsOxnv2TbusF+eRs/Q7vGztiTTuLyVyd8BnzHdtWCyfsjU9JeWIItvSzZdqGyyEsPNCp90NKcgZh5pITqG7beoSP39/E23OG4OlZfKwf8mAHhjzYAYDnn1lIdK2Sw2TEvdT/913Ue9Ax78TZbbvxjY4oWudbI4LsU5YS2/xvGEfh+SyOzV9O6A3NOPrJ11w1tB8buj0AwJmtv2Dy9sKrWlXyUko3HM6Vws3B/++cNw2zueTn/pYtB3h31mrm/r9z3vPncxg2bCYjRtxOixYVrzBf2c75/yfkzrsI6dcfgJw9u6kSUTwHSRVzBAUW5/3ft0ULfJrE0HBNHAaTCVNoCHU+nMvR++5xiktfvoza77xL8ttvln0jRP6hPy2lvvjii0ycOJGJEyeydetWMjMziYqKYt68eUyc6Npuck2b1uJYQjInTp4hP7+QFSu3ERvbzClm377jjHt+Hu/MHE5oaMkTmYqkaaMIEk6mc/L0OfILrKyMO0hsu7pOMbHt6rJktWOCyDUbDtHqmpoYDAZycgvIznF0b9687RgeJiP16oRiMBi4qU1dftrpmF/kh5+PU7e2+560DbwmjEVDGrNoSGNi6wWzdG8qdrudXaez8Pcy/a25J/44f8X6w+e4KrTiTJ7WNKYWxxJSivf9VTuIvanZX2+IY/KptHTHl/0DB09x8OBp2rYtOeGou2naMIyEUxmcTMxw7P/fHSG2dU2nmNjWtVjyjWPm/jUbj9KqhWMOg9T0HKxWx5i7E4kZJJw6R3REAANvu5pNnw9i3ScDmff6bdSOCnKLAgVA07ohJCRmcjL5PPmFVlZuOU7sdVFOMbHXRrFkw1EA1mw9QasmZgwGA7HXRbFyy3HyC6ycTD5PQmImzeqFkJ1byPnfjwPZuYVsjk+iQc3ik9wfdluoUz2QiFD3mJdmUKeaLB7ThsVj2tC5uZmvt57Gbrfzy2/pBPh4EB7kPL44PMgLf28Tv/yWjt1u5+utp4lt7ijA/HH+im9+sVC/uqPAm5NvJTuvEIDN+89gMhqoF+lc/HUHWSu/JOXxQaQ8PoicrRvwje0JQJWGMdizz2NLcy4wGLx9iuepMJrwvr4dhSePUZhwhKTBXbE80AvLA72wnkkmZcTdFaJAAdC4SXVOHj/L6ZNpFBQU8u3qPbTr2NAp5uD+RKa+uJyXpw8kJLT4tbRabZxLdxTvDh9K4vAhCze0dv4MFffz68z5rGrZm1Ute3NyybfUucdRrAu9sTkF5zLJTUpxijeYTHiFOr68Gjw8iLq1E+l7HEObso8nYu7cGoDARldh9PaqEAUKcJzzJiQkc/L3z/2VK3/mphLnvCd44fn5vD1zOKGhxUP28vMLefSR9+jV60a6drumvFO/LCrbOf//pH4+n8P9+nC4Xx8y1sVR9XZHryCfZs2xns+k8Izz/p+64HMOxHbgYNfOHLlnEPnHjhUVKDxrFveSDIztTN7Ro+XXkCuFq+eOqGRzUvxpT4qYGOfxXE2alBzf5ioeHibGjR3AA0NnYLXZ6Nu3DfXrV2f6jKXExNSic2xzXn7lK7Kz83h8xGwAIiNDmPWOY3ziXYNe5bffksjOzqNDx2eYNHEw7du7T/v+Pw8PI2NHxjJ01CJsNht9e8ZQv041Zry/mZhGZmLb1aNfz6Y8PXEVt9w5h6BAb15/wXEiezYtmwdGLcJoNGCu5s/U53oU/d5Rwzvw34krmTxjPSHBvkx+1j2uov6VDlcFsum3c3SfvRefKkZe7F588O370X4WDWkMwGsbTrJyfxq5BTY6v7ObO5qF8p+21fl0RzIbDp/DZDQQ5G1iYvfaLmrJ3+fhYWLcmH/xwINvY7XZ6dunFfXrRzL9zeXENKlJ59hmxO9O4JHHZpORkc369bt5860VrFj2HIWFVgbd/QYA/v7evDL1Xjw8TC5u0V/zMBkZ+0gbhj67CpvNTt+uDalfO4QZH28npkEYsa1r0a9bQ56euoFbhiwgKMCL15+NBWDb7iTenLsdD5MRo9HAC4+1IzjQvYtSHiYjY++/lqGTvnO832+6ivrRQcxYsJuYuiHEXhdFv9irePqtrdzy6HKC/B23IAWoHx1E99bR9HxiJSajkXFDr8VkNHL2XDaPvPo94PjCdmu7WkW3JgVYsTmBW910qEfHmGps3JNC13Gbfr8FafFnU59JW1g8xtH2cQOvZvTHjluQtm9SjQ5NHOOuX/3qIAdOZmIwQFSIDy8MchzrUzPzeWDGdoxGA+FBXkwd0rT8G/c35W3fjPd1bTG/t/j3W5BOKFoXNn0eKY8PwuDtQ+jY1zF4VAGjkbz47WSt+sqFWV8eHh4mnhjdg5HDP8Fqs3Nr75ZcVS+c2W+vo1GT6rTv1Ii3p60lJzuf5576AgBzRBAvz7iLwkIrw+/7AAA/Py+en3xHhTj2/R3z759ApwbXUM0/mBOTl/L88tl8sGWZq9O6bE6v/I7qPTpy2+FvsGbnsPW+Z4vWdd+5hFUte2P08uSmNe9jqFIFg8mI5dsfODLbsS/sGPUSN86eSKORQ8BuZ+uQZ1zUkr/Pw8PEc2MH8MDQt7DZbNzRtzX161dnxoxlxMTUIja2Ga/8fs47csT7gOMuXzPfGc7q1T+zffuvpKdnsWTxVgAmTxlM48YV5+5mle2c/0IyN35HQPsONFi1FntOLifHFu//9RYu5nC/Pn+6fcTIUXjVro3dbqfg9GlOTXi+rFMWuSQG+19Nf3+p7OvL9Ne7M3tKxZuY7HIqXFp5X3uAKvfd7+oUXMp+ctdfB13J0jP/OuYKZT/r/pOxlqXEaT+4OgWX8v7yCVen4FLVRk53dQouM29W5X7v32mb6eoUXMpYuqnurli7m7r2pgKu1nTPAVenUKZsq6/M19fY7Z2/DnKBUs1JcezYMV5//XUOHz5MXl5xt9m4uLgyS0xEREREREREKpdSlTxHjx7NwIEDMZlMzJ07l969e3P77beXdW4iIiIiIiIirmWzX5k/bqpURYq8vDxat3ZMNhQVFcWjjz7Kd99VjltVioiIiIiIiEj5KNVwD09PT2w2G7Vq1eLTTz/FbDaTlZVV1rmJiIiIiIiISCVSqp4Uzz77LDk5OTz33HPs3buXpUuXMnXq1LLOTUREREREREQqkVL1pGjWzHEvYqPRyJQpU8o0IRERERERERGpnErVk2Lnzp306NGD7t27A3DgwAFeeOGFssxLRERERERExPVstivzx02VqkgxefJk5syZQ3BwMACNGjVi+/btZZqYiIiIiIiIiFQupSpSAERGRjpvaCz1piIiIiIiIiIif6lUc1JERkayY8cODAYDBQUFzJ07l7p165Z1biIiIiIiIiJSiZSqSPHCCy8wadIkLBYL7du3p127dowbN66scxMRERERERFxLTeev+FKVKoiRUhICK+99lpZ5yIiIiIiIiIilVipJpY4ceIEw4YNo1WrVrRu3Zrhw4dz4sSJss5NRERERERERCqRUhUpRo0aRbdu3fj+++/ZtGkT3bp144knnijr3ERERERERESkEilVkSInJ4fevXvj4eGBh4cHvXr1Ii8vr6xzExEREREREXEtm/3K/HFTpZqTokOHDrz33nv06NEDg8HAypUr6dixI+np6QAEBweXaZIiIiIiIiIicuUrVZFi1apVAHz++edOy1esWIHBYCAuLu7yZyYiIiIiIiIilUqpihTr1q0r6zxEREREREREpJL70yLF2rVr/3TjW2655bImIyIiIiIiIuJWbDZXZ1Cp/GmRYv369QCcPXuWnTt30qpVKwB+/PFHWrZsqSKFiIiIiIiIiFw2f1qkmDJlCgD3338/K1asIDw8HIDk5GRGjx5d9tmJiIiIiIiISKVRqluQJiYmFhUoAKpVq8bp06fLLCkRERERERERqXxKNXFm69atGTp0KD179gRg5cqVtGnTpkwTExEREREREZHKpVRFinHjxrF27Vq2b98OwIABA+jSpUuZJiYiIiIiIiLianar3dUpVCqlKlKA404emihTRERERERERMrKnxYpWrZsicFgwG63YzAYipb/7/GOHTvKPEERERERERERqRz+tEixc+fOov/v37+/aLjH9ddfT6NGjco2MxERERERERGpVEp1d4+5c+fy9NNPk5aWRmpqKk899RSffPJJWecmIiIiIiIi4lo2+5X546ZKNSfFl19+yYIFC/D19QXgwQcfZMCAAQwePLhMkxMRERERERGRyqNUPSkATCbTBf8vIiIiIiIiInI5lKonxR133EH//v2Lbjv67bff0rdv3zJNTEREREREREQql1IVKe677z5uuOEGfv75ZwCmTJnC1VdfXaaJiYiIiIiIiLic1X3nb7gSlapIAdCkSROaNGlSlrmIiIiIiIiISCVW6jkpRERERERERETKUql7UvxT+W+/U9ZP4bY8rqnl6hRcyuOO7q5OwaWsCz91dQouZWxQ09UpuJQ97ZyrU3AZQyUfDpj2UXVXp+BSdZ6e4+oUXGrerDRXp+Ayg4ZVdXUKLnXnqi9dnYJL2XLzXJ2CSwX88IirUxC5YpR5kUJERERERESkorLbNCdFedJwDxERERERERFxCypSiIiIiIiIiIhbUJFCRERERERERNyCihQiIiIiIiIi4hY0caaIiIiIiIjIxVg1cWZ5Uk8KEREREREREXELKlKIiIiIiIiIiFtQkUJERERERERE3ILmpBARERERERG5GKvN1RlUKupJISIiIiIiIiJuQUUKEREREREREXELKlKIiIiIiIiIiFvQnBQiIiIiIiIiF2G32V2dQqWinhQiIiIiIiIi4hZUpBARERERERERt6AihYiIiIiIiIi4Bc1JISIiIiIiInIxVs1JUZ7Uk0JERERERERE3IKKFCIiIiIiIiLiFlSkEBERERERERG3oCKFiIiIiIiIiLgFTZwpIiIiIiIicjE2TZxZntSTQkRERERERETcgooUIiIiIiIiIuIWVKQQEREREREREbegOSlERERERERELsJu1ZwU5Uk9KURERERERETELahIISIiIiIiIiJuQUUKEREREREREXELmpNCRERERERE5GJsNldnUKmoJ4WIiIiIiIiIuAUVKURERERERETELahIISIiIiIiIiJuoULPSWG323lp42k2JWTg7WFk4s3RXB3uWyJuxg+JLD2QRkaelZ+GNS1aPnXTKbadPA9AbqGN1OxCtjzctMT27sJutzN5/h42xlvw9jQxeWhLmtQOLhG391g6o9/fSV6BlQ7NzDx7VwwGg4HpXx1g3c5EjAYDIYFeTBnakvCq3vyWmMmzc35hX8I5RtzRiPu713NB6/6eTT8cYdIba7FZ7fS7vQUP3dPGaf22nceZ8sZaDh5J5rUJfegW2xiA/YeSeOGV1WRl5WE0Ghk2pC09br7aFU24JHa7nckrE9j4axo+VUxM7lOXq6v7lYh749vjLP3lDOdyC/n5uRuKln+0OZGFO5LxMBqo6uvBxD51iQr2Ks8m/G12u51JH+9k484kvL1MTBl+A03qVC0Rt+e3VEa/s428fCsdWkYw5t6WGAwG0s/n8cT0rZxKySIqzI9pj7cmyN+zaLvdR1K5c2wcrz3Wim6tosuzaX+b3W5n8hcH2Lg3xXEsuKcpTWoGlojbm3CO0XP3OI4FTcJ49l+NMBgMAHy6PoH5353AaISOMWE8dUfD8m5GqW368RiT3tyAzWajX88YHhp0g9P6/PxC/jt5DXsPWQgO9OH153tQIzKI/AIrz7/6LXsOWjAaDTz7aCdubOl4bR946itSzmZhtdq4tlkU40bEYjK5f91+59aTfPDGj9isdjrf1oA77mnmtH7N4gOsXrQfo8mIt48Hw/7blug6wRQUWHl36haOHDiDwWjg/hE3EnNNpItacWk8+/4H09U3QH4eefNexnbysHNAFS+87h+HsVok2GwU7tlKwbL3i1abWnbEs/s9YLdjO/UbeXMnl3MLLs2108dQvUdHCrNz2TrkGdJ27isR03n9XHwiw7Hm5AKw7pb7yUtJxTc6ktYfT6VKcAAGk4ldz7zK6VUby7sJZWLO4DHc2rQtyZlpNH1xkKvTuezsdjuTF//Kxv2peFcxMnlgY5pEB5SI23sik9Gf7SevwEaHxiE826c+BoOB/acyeeHLQ+QX2DAZDYzr14BmtUp+blQEdrudycuOsvFgOt6eRib3q0eTKP8ScW+sSeDrnSlk5BTy8/hWLsj08tm2JYFZr27EarPTvffVDBhyndP65Qt3s+zL3RhNBnx8qvD4mFhqXRVC0ukMHuz/KTVqOc6XGsVE8PizN7miCRWf1e7qDCoV9z8j+xObEjJJSM9jxeBGPB9bg4kbTl0wrmOdQD77V/0Sy//bPoqFAxuycGBDBjarRue6QWWd8iXZGJ9MgiWL1S91ZvyQ5kz4JP6CcePnxjPhvuasfqkzCZYsNu1OBmBo97p8/eJNLJ7QiU7NzcxcehCAID9PxtwVw/3d6pZXUy6J1Wpjwmurmf36nSz/7GFWfLOXw0dTnGIiIwKZMvY2bu0S47Tc27sKU8fdzvL5DzN72p1MeWMtGZm55Zn+ZbHx13QSzuaw+vEWjL+9DuOX/XbBuJsaVmXBwzElljeO9OXLh2NY8p9mdG0SwmtrE8o65Uu28ZckEhLPs+aN7kx48DrGv//zBePGz9nBiw9dx5o3upOQeJ5NvyQBMPvrA7SKCWfNGz1oFRPO7K/3F21jtdl4dX48bZuZy6Utl2rj3jMkJGezenx7xt/VhAmflfySAjD+s31MGNSE1ePbk5Cczaa9ZwD48eBZ4nYls2RMG5aPa8f9N9cux+z/HqvVxoQ31jH75d4s//heVsQd5PCxs04xC1fsJTDAi7Xz7+fe/tfw2rvfA/Dl8t0ALPvoHj54rS9TZ27EZnOcZLzxQk++/mAwyz66h9T0HFZv+LV8G/YPWK02Zr+6lTGv3cIb8/vw/be/ceJoulNM+1uuYtqnfXjt4170HtSUj2b8BMC3Sw8BMO3TPjz/Rlc+fnNb0d+iIjFdfQOGsChyXryXvAXT8PzX4xeMK1j3BTmT7ifn5WGYrmqCqfH1ABjCoqjSZSA50x4nZ8oD5H01szzTv2TVu3cgoH5tltW/hZ8eGsv177xw0dgtg55kVcverGrZm7yUVABinhtOwherWH1NHzbfOZLrZj5fTpmXvY9+WEG3N0e6Oo0ys3F/KgkpOax+9kbG/6shExYevGDc+IUHmfCvhqx+9kYSUnLYdMDx2r+69Aj/6VqbxU9dz6Pd6/DqsiPlmf5ltfFgOglnc1n9ZEvG96nLhCUXPgfq1DiEBf9udsF1FYnVauPtqRuYOON2Zn85iPVrDpHwW6pTzE3dGvLugrt4Z/5A+t9zDe9O21S0LjIqiHfmD+Sd+QNVoJAKo0IXKdb/do7bG1fFYDDQPMKPzDwrKVkFJeKaR/gR5lflT3/XqkPpdG9Q8qqsO1m3M4lebWpgMBhoUTeEjOwCktOdv2Anp+dyPqeQFnVDMBgM9GpTg7gdji9p/j7Ff4OcPCs4LqgSGuhF06uq4mEylFtbLkX8vtPUrBFCdFRVPKuY6HHz1cRtPOQUUyMymIb1zBiMzm2qUzOU2tEhAJjDAgip6kdqena55X65rDuQRq8WYY59PzqAzFwrKZn5JeKaRwcQFuBZYvmNVwXh42kCoFl0AJZzJbd1N3HbT9GrQ23H/l8/1LH/p+U4xSSn5XA+p4AW9UMd+3+H2ny7/dTv25+md4faAPTuUJtvt58u2u7T1Ye55YYoQgK9y609l2LdrmR6taru+FtcFez4W5zLc4pJPpfH+VwrLa4KdvwtWlUnbpejYPn5xhM82PUqPKs4PgJCA923F038/iRqRgUTXT3Y8X6PbUjc984n13Gbj9C7q6NHVNeO9flhx3HsdjtHjqXS6hpHz4nQqr4E+nux56AFAH8/R5sLrTYKCqwYKsDh7/C+M0TUCCAiKoAqVUy0u/kqtm067hTj61f8fs/NKSxq18mj6cRc6+g5ERTig5+/J0cOnCm33C8XU9M2FP70DQC2Y/sx+PhjCAxxDirIw/brLsf/rYXYTvyKITgMAI/WPSjc9DXkOHpRct65yOPuonp15ujcJQCc/XEXnsGBeEeElXp7u91OlUDHFWfPoAByTieXSZ6usOnwL6RmZbg6jTKzbs8Zel0f4Tju1w4iI6fw4sf92kGO4/71EcTtdrzPDQY4n1sIOP4NDyp5blBRrNufSq+WjnOgFjUDyMgtJDmj5HlMi5oBhAdW3Hb+z8G9FqpHBxNZI4gqVUx0uqUBP3znXJjx87/wsV+koipVkeLo0aPce++93HrrrQAcOHCAmTNdf/UhOauACP/iL95m/yokny9ZpPgrpzPyOZWRz401SnYVcyeW9FwiQnyKHkdU9SE57f8VKdJyMYcUf9Eyh/hg+UMh441F+7npibUs23qSx3o3Kvuky4AlJZPI8OIujhHhgVhSMv/274nfe4qCAis1o9y7OHUhyRn5RPzhBMMc6InlAh/QpfHVz8m0r19y2JC7saTmEBn6h/0/xAdLak6JGKf3yB9izp7LJbyqY11YsDdnz+X+vk0232w7xcAu7j/M6X8s6XlEVC1+n0dU9b5gwdL8hyE85mBvLOmOE9pjydn8fDiNAVO3Mvj1n9h97Fz5JP4PWM6cd36/h/ljOXPeKSb5DzEeHkYC/LxIP5dLw7rVWLf5NwoLbZxMPMfeQ8kkJhcfK4Y++RVte72Ln68nXTuW7G3nblJTsqlmLh7WFRLmy9mUrBJxqxbt59/9FvLJzG3cP/JGAGrVC2H79yewFtqwnM7kyMGznLGU3NbdGYKqYU8v7jlnT0/BEFTt4hv4+GGKaY310E4AjOE1MITVwHvEG3g/8WZRD4uKwjfKTPaJpKLH2SeT8I26cA+wVh9OpvvOJcQ89++iZbtfeIs6d99G7xPf0Wnle2x/dGKZ5yyXh+VcHhF/OKZHBHtdsEhhDvrDcT/IC8vvMaP71OfVpUe4afwWXl56mJE9K0bv2QuxnMt3/lsEeV2wSHGlOJucRZi5+DtKtXB/ziSfLxG39It4hvT6mPff3My/n+xYtDzpdAb/vusznnxoEbt3XrjXuYi7KVWRYuzYsYwaNQoPD8cUFo0aNWLlypVlmlh5WvVrOl3qBWEyXvllxxF9G7P+9Vu4rVUN5sUddXU6LpN8JpOnJyxl8nO3YawEr/vFLN2Vwp7TWdzfrrqrUylXBoOh6CrD5I9/4cm7mlWq/aDQaudcdgGfP30jT93RgJHv78Jur3hd//9K3x4xRIT70+/h+Ux+cwMtm0Q6HefnvHoHm756iPwCK1t3nHBhppdX976NmbmwH4P/fR2LPnL0KOh8a31Cw315eugyPnzjRxo2Dbvy93mjEa97x1CwcTH2s4m/LzNhDIsid8Yo8j6ahOedI8Gn5Hw+Fd2WQU+ystntfNN+EGHtr6XO4F4A/8fefYdHVaZ9HP9OOpAeMkmA0DsJIAjSS0BAQAEBcRddYVVsqKggioqCL20BFxEb6KpgQ9EA0kRCb0rv0gktjVQSUmfm/WMwYQzRiCQzIb/PdXktM+c5M/eTPXPKfZ7nPtT8Rx9OfRrJ4tDOrO89gnYL/oNuuZYPX2+5wEv967Lu9Xa81K8er379q71Dkpvsnvua8umSh3j46XZ8+fEOAPwrV+LzZcN478t/8NhzHZn66moy0m/dhE5Jspgtt+R/jqpYhTMzMzNp2tR2Tpezs3OJBPRnvtp/ie8OWecjhxkrEnvNyIm49FyMnn88reN6Vh1L5pUu1W5ajDfTF1GnWbTBWi8grJYvsdMuBxEAACAASURBVNfcOY5NzsToZzs83ejnQVxSwR3VuKRMgnwLD2Hv27Yqj/33Z54eUPZGUwQFetncDY2NTyMosHDxqKKkZ2Tz+AsLGfVYF5qHVS2JEEvElz/H8u0u69Dc8KqexF4zRSMuLYegvzikcevJVOZuuMBn/26Cm4tjzvz64sfjfLvWmkwLr+NHTOI1239SJkHXjJoA68ghm9/INW0CfDyIT87E6FeB+OTM/KkdB08l8/zb2wBIuZzDxr0xuDg70b2VY20bX6w/y6It5wEIq+FN7DWjqGKTszD+7nduvGbkBFhHYv02siLYz507mxsxGAw0remLkwGS03Pxv87UIHsLquxp+3tPSCeosu2oN+PVNsFGL/LyzFzOyMbXxwODwcDLI7vkt7v/ya+pGWo7csrd3YVu7esQteUk7VvVKNG+/F3+gRVtRj8kJVwhILDoC+z23Wszd7p123Z2cWL4s3fkLxs3YhlVqjt2HabfuHS8B5e2vQEwnz2WP3UDwOAbiCX1+tNW3O5/HkvCBfLWf5//niUlAXP0r2A2YUmKxRJ/HqfAapjPXn9+vyOo9+Q/qfvofQAk7jhAxdDg/GUVqwVz5UJcoXV+m8aRl57BmS+XEdC6KacXLKH2w4NY3+sRAC5t34uzhzvulf3ya1aIY/li83kWbbMm2MKqexF7zT49NiUbo4/tVD3jNSMnwDr64reRFYt3xDJugHXEWK/mgby2sGwlKb7YFsOiHdZtPayap+3fIjX7lpjWUZQAYyUS4gpGTlyKT6eysejR31161OedKesBcHNzxs3Neh5Ur5GRKlV9uHA2mfqNy0YNLim/inVl4ufnx9mzZ/Orwq9atYrAwOLPgbyZ/tG0cn6xy4jaPiw9kozFYmFfbAaebk5/Wnvi904lZZGWbaJZcOGngjiCod1qETmxC5ETu9CtRQhLtp7HYrGw92QSXhVcr3th4lnBhb0nk7BYLCzZep6I26wnNGdiC3Zwa/fEUjvEsae3FCW8URWizyVx/mIKObkmVqw5TETH+sVaNyfXxMixi+h3V9P8J36UFf+8I5jIJ5sS+WRTujX0Y8neBOu2f+4yXh7O1609UZTDMRlMWHqKOUMbEHADib3SMrRnPRZP68HiaT3odntVlmw8Y93+jyfiVdE1f/rGb4x+FfCs4Mre44nW7X/jGbrdbk02RLSswuKNZwBYvPEM3W63jh6JeqcPa+f0Ze2cvvS4oxrj/93C4RIUAEO7VCfylXZEvtKObs2CWLL9ovVvcSoFrwou1z1Z9fRwZu+pFOvfYvtFIpoZAejWLIifj1kvSk7HZZBrsuDnoNtBeMNgos8ncz4m1fp7X3uUiPa1bdpEtK/N4h+txUN/3HCcNreFYjAYyMzK5UqmNZG9ZUc0Ls5O1K0ZQMaVHOITrfvDvDwzG7afpnb139U1cEB1G1Um5nwacRcvk5trYvOaU9zewfZJNBfPFUzd2bX1HCGh1ur92Vl5ZF39W+z75QJOzk6E1nL8aV4AeZuWkvWfx8n6z+OY9m/BpfWdADjVbIQlKwNLWuELbNc+wzF4VCLnd4UxTQe24lS3mfVFJW8MxmqYL8WUeB/+juPvfZlfAPP84jXU+ld/AALuaEZu6mWyYm0LRxucnXEPsCbjDC4uVO3bhZSD1sKwV87GENStLQDeDWvj5OGuBIUDG9qhGpFjWhE5phXdwiqzZEesdb9/JvWP9/tnUq37/R2xRIRZp0MZvd3ZcdJag2X78WRqBFYo9H2ObGjbECKfaU7kM83p1tifJXus50B7z17Gy8Pllk5SNGgcxIVzKcReSCU318T61cdo06mWTZsLZwvq6/yy+QxVq1v37ynJmZhMZgBizqdy4VwKwVXLRoJayrdijaR4/fXXee211zh16hQdO3akWrVqzJgxo6Rj+1Mda3qxMTqN3vN/xcPVif/rVnCyNuiroyz6h/WRem9tucjyoylk5Zrp9r/DDGziz5N3WC/cVx1PoVc93/wEjCPr3NTIxv1x9Bwblf8I0t8MGL+eyIldABj/YFNe/ngP2TkmOoYb6dTUemHy1qIjnI5Nx8kAVQIq8sZD1tExCalZDJ6wkfTMPJwMMP+nUyyb1NWm0KYjcXFx4rUXevLwqK8wm80M7NuMerUDmT13A2GNQojoWJ8Dhy8y8qVFpF3OYt3m48z5aCPLvnyMVVGH2bn3LClpV4hcYR0GPeXVu2lUP/hPvtWxdKrvy8bjKfSatRcPVycmDSiYWzrgvf1EXq1mPePHaJYfSCQr10zXGbsZ2CKQkRGhzPgxmis5Zp5baD1xreLjzrtDHfcRlACdbwth494Yejy7Ag93FyY/XjCXvP/Y1Sye1gOA8f9uwbj3fyErx0TH5iF0am79//bRfg15btY2vlt3miqVK/LfUW3t0o+boXNYZTYeTKDn+E1XH0Fa8ASXAZO2EvmK9ZG84//RmJc/sz6CtGOTynRqYj1ZvbddVV5dcJC7J27B1cXAlH+FOew+0MXFiddGRfDw6O8xmy0M7N2EerUqM/vjrYQ1DCKifR0G9Q7jxUmr6PHP/+Hj5cFbr1vvuicmX+GRMZE4GQwEBVZi2iu9AMjMyuXJl5eSk2vCYrHQunko99/j+BXgnV2ceOT5Nrz5nPXxyxF961G9th9fzdtN3YaVadWxOisXHWH/zhhcXJyo5OXGyFc7ApCanMmbz63GYDDgH1iRZ8Z3snNvbozp8M84N2lNhfHzrz6CdHr+Mo8XPyDrP49j8K2MW8+hmGOj8RjzPgB5m5aQt20lpiM7cG7YkgrjPgazmZwlc+FK2Sm2eHHFBqr07szdJ37CdCWT7cPH5S+7a89iVt7WHyd3N7r++BEGV1cMzk7ErdnGyXnfALD7hancMe//aPjcMLBY2D7sJTv15Ob78t8T6VK/BZU9fTk3eSmvL5vH/7b+YO+wbprOjQPYeCSJnpO2W/f79xeMhB0wfQeRY6zHxPED6/PyV79a9/uNAujUyJqAnTikAZMjj2MyW3B3cWLifWVvJO1vOjfwY+PRFHrO2I2HqzOTBxXUlBowey+RzzQHYPrKMyzfe4nMXDNdpuxkUCsjI7tXt1fYN8zZxYmnxnRm3NNLMZvM9LinMTXrBPDZB9up38hI2861WfrNfnb/cg4XFyc8vdwZ/UZ3AA7svsD8D3/GxcUJJ4OBZ17uirdP2SgSLuWbwfIXJiJfuXIFs9mMp2fx78DnzLnvhgK7Fbi0cOyhwyXN0DDc3iHYlfmnKHuHYFdO9cveicDNZEl23GKUJc3QuLG9Q7CrQ65l64kRN1utCWvsHYJdLXnn1qlv8lcNfbzsFaK+mUx3N7d3CPaVlf3nbW5hZ+9sae8Q7Kqm10h7h1Cismfea+8QSoT7C9//eSM7KNZIiuTkZN5991127dqFwWCgRYsWPPXUU/j5le+DkYiIiIiIiNziTI5bZPJWVKyaFM8//zx+fn7Mnj2bt99+G39/f5577rmSjk1EREREREREypFijaRISEjgqaeeyn/95JNPsnLlyhILSkRERERERETKn2KNpGjfvj3Lly/HbDZjNptZsWIFHTp0KOnYRERERERERMTBpKSkMHz4cHr06MHw4cNJTS1cj+3IkSMMGTKEPn36cPfdd7NixYpifXaxRlJ88803fPbZZ4wZMwYAs9lMhQoV+PrrrzEYDOzevfsvdEdERERERESkjFBNikLmzp1L27ZtGTFiBHPnzmXu3Ln5+YLfeHh4MG3aNGrWrElcXBwDBw6kQ4cOeHt7/+FnFytJsWfPnhuPXkRERERERERuGVFRUSxYsACA/v378+CDDxZKUtSqVSv/30FBQfj7+5OUlHRzkhS/BbFz504AWrduTdeuXYvdARERERERERG5NSQmJmI0GgEIDAwkMTHxD9vv37+f3Nxcqlev/qefXawkxYwZMzhw4AB33303APPnz2f37t288MILxVldRERERERERBzIwoULWbhwYf7rIUOGMGTIkPzXw4YN49KlS4XWGzVqlM1rg8GAwWAo8nvi4+MZM2YM06ZNw8npz8tiFitJsWHDBpYsWZL/gQMGDKB///5KUoiIiIiIiMgtzWK+NWtS/D4p8XuffvppkcsCAgKIj4/HaDQSHx+Pv7//ddulp6fz2GOP8dxzz9G8efNixVWsp3sApKWl5f/78uXLxV1NRERERERERG4hERERLF68GIDFixfTrVu3Qm1ycnJ46qmn6NevH7169Sr2ZxdrJMVjjz3GgAEDuOOOO7BYLOzYsYPRo0cX+0tERERERERE5NYwYsQIRo0axaJFi6hSpQqzZs0C4MCBA3z99ddMmjSJlStXsnPnTlJSUoiMjARg6tSpNGrU6A8/u1hJir59+9K6dWsOHDgAwOjRowkMDPw7fRIRERERERGRMsjPz4/PPvus0Pvh4eGEh4cD0K9fP/r16/eXP/sPkxSHDh2yeR0cHAxYC1/Ex8fTpEmTv/yFIiIiIiIiImWGyWzvCMqVP0xSTJ06tdB711btnD9//s2PSERERERERETKpT9MUixYsACAFStW0KlTJzw9PXn33Xc5fPgwTz75ZKkEKCIiIiIiIiLlQ7Ge7vH+++/j6enJzp072b59O4MHD+aNN94o4dBEREREREREpDwpVpLC2dkZgA0bNnDffffRpUsXcnNzSzQwERERERERESlfivV0j6CgIMaPH8+WLVt49NFHycnJwWxW8RARERERERG5tVnMFnuHUK4UayTFrFmz6NChAx9//DHe3t6kpKTw4osvlnRsIiIiIiIiIlKOFGskRYUKFejRo0f+a6PRiNFoLLGgRERERERERKT8KdZIChERERERERGRklaskRQiIiIiIiIi5ZJJNSlKk0ZSiIiIiIiIiIhDUJJCRERERERERByCkhQiIiIiIiIi4hBUk0JERERERESkKGbVpChNGkkhIiIiIiIiIg5BSQoRERERERERcQhKUoiIiIiIiIiIQ1BNChEREREREZEiWEyqSVGaNJJCRERERERERByCkhQiIiIiIiIi4hCUpBARERERERERh2CwWCwlOsEmJfvbkvx4h+aTnmHvEOwqd/4P9g7BrlwfuMveIdhXzhV7R2BXBq8ge4dgN+btG+0dgl3lbD9r7xDsyv2pgfYOwa4s/qH2DsF+Vpbfcz4A5x/22jsEu7JMH2PvEOzqZK837B2CXdXZfMDeIZSoKy/dmuf1FaeutHcI16XCmSIiIiIiIiJFMatwZmnSdA8RERERERERcQhKUoiIiIiIiIiIQ1CSQkREREREREQcgmpSiIiIiIiIiBTFZLZ3BOWKRlKIiIiIiIiIiENQkkJEREREREREHIKSFCIiIiIiIiLiEFSTQkRERERERKQIFrPF3iGUKxpJISIiIiIiIiIOQUkKEREREREREXEISlKIiIiIiIiIiENQTQoRERERERGRophUk6I0aSSFiIiIiIiIiDgEJSlERERERERExCEoSSEiIiIiIiIiDkFJChERERERERFxCCqcKSIiIiIiIlIEi1mFM0uTRlKIiIiIiIiIiENQkkJEREREREREHIKSFCIiIiIiIiLiEFSTQkRERERERKQIFpNqUpQmjaQQEREREREREYegJIWIiIiIiIiIOAQlKURERERERETEIagmhYiIiIiIiEgRLGbVpChNGkkhIiIiIiIiIg5BSQoRERERERERcQhKUoiIiIiIiIiIQ1BNChEREREREZEimE2qSVGaNJJCRERERERERByCkhQiIiIiIiIi4hCUpBARERERERERh6AkhYiIiIiIiIg4hDJdOHPb5mO8NW0FZrOZe+5tyUMPd7ZZ/uX8LSz5ficuzk74+lXi1YkDCKniB8A7b61iy6ZjWMwWWretw/Nj+2AwGOzRjRuyaftJJs1ag9lkZtDdzRnxr7Y2y3fsOcuUt9dw9GQ8Myf0p1dEQwCOHIvjjemryLiSg5OTgccfakfv7o3t0YW/zbnLv3Gq1QJLbg6m1e9giT9duE27f+LUuDO4VyL33QcKFnhVxqXn0+BeEQzOmDZ/juXM7lKM/ubZtP00k96Owmy2MKhvU0Y8eIfN8h17zzFl9lqOnkxg5ht306trAztF+vds+iWaSXM2YzabGdS7MSP+2dJmeU6OibFT13DoWDy+3h68Nb4n1YK9+WHNUT5euCe/3dFTiXz/4X00qhvIfz/ezpLVR0m7nMXuFY+Vdpdu2Matx5k0cwVms4XB/VowYlgnm+U7dp9h8lsrOXoijrcmDaZXtyY2y9PTs+g9ZA7dOzdk/It9SzP0G2KxWJj83TE2HrqEh5szkx9oTJNQ70LtDp1N4+XPD5Gda6ZTk8qMG1gfg8HAc/87wJn4DADSMvPwruBC5Ett2PJrIm8tPUFunhlXFyfG9KtHmwb+pd29v8yl5wic6rWE3Gxyl7yNJfbk7xq44zp4LAa/EDCbMR//hbyozwAwVG+Ca89HMQTVJPe7/2A+stUOPbhx5f3Yt2nTISZP+ta6vx/UjkdH9LRZ/uknUSxatAVnZyf8/b34v0kPULVqAEeOnGPCG1+TnpGFs5OBxx7vRe/et9upFzfGYrEwOfI4G48k4eHqxOR/NKJJqFehdofOXeblr45Y9wON/Bk3oB4Gg4EjFy7zxrfHyMk14+xkYPyg+jStUXg/UlZ9/OAr9A1vT/zlZMLfHGrvcG66jVuPMWnGMswmM4P7t2LEcNtz/h27TzN5xnKOnojlrclD6NU9PH9Zo1avUL9uMAAhwT588N9/lWrsN0vAsy9RqW1HzFlZxE9+lZxjRwq1CZn5Ps4BgRicncnct5tLb00Csxm3uvUJHD0eQ4WK5MVeIG7CS1iuZNihF2WXxazCmaWpzI6kMJnMTJ/8A7Pe/xdfL36G1SsPcOpkvE2b+g1D+OyrJ/jiu6eJuLMJc/77IwD7955l/96zfLFoJF9+/zSHD15g987CF7iOymQyM3HGaubNvI9lX45g+ZrDnDh9yaZNSLA3U17tS987bS9OPDxcmDb+bpZ98Sjz3hrClLfXkHY5qzTDvykMNVtg8A0h95ORmNa8j3PEiOu2M5/aQe5XYwu973zHIMzHtpL3xRjyVryFS8SjJRxxyTCZzEx86yfmzRjEss//zfI1RwpvC0HeTBl3F327N7JTlH+fyWRm4tsbmTe1L8s++SfL1x7nxJkkmzaLVh7G28ud1Z8/yEODmjNz7jYA7u7egMXz7mfxvPuZ9vKdVAv2plHdQAC6tq3JN+8NKvX+/B0mk5mJ/1nGR28/yPJvRrJs9QFOnLLd94UE+zDl9QH07Rl+3c+Y9cFaWt1WozTCvSk2Hk4kOv4Kq8a3Y8L9jZi48Nfrtpuw8Fcm/qMxq8a3Izr+CpsOJwLw33+HE/lSGyJfakOPZka6NzMC4FfJlfcfa87ScW2Z8kATxi44VGp9ulFOdVtiCKhCzpzHyF32Lq59nrhuO9O2SHLee4Kcuc/iFNoIp7pXk3qpCeQumYX5wIZSjPrmKO/HPpPJzJsTFzJ33kh+WPYay5fv5MSJGJs2jRpV49tFL7Fk6av06HkbM2ZEAuDh4cbUaQ+xbNlrzJs3kilTFpGWdsUe3bhhG48kEZ2QyapxdzDhvgZMXHT0uu0mLDrKxPsasGrcHUQnZLLpV+uxYsbSkzzVsyaRY1rx9F21mPHDyeuuX1Z9um05vd55zt5hlAiTyczEqUv5aPYwli8axbIf93HiVJxNm5BgX6ZMGEjfXs0Kre/h7sqSr55myVdPl9kERcU2HXELrcHZ+/uQMH0CgaNfvW672NdGc37YIM49OABnXz88u/YAIHDsBBI/mMX5h+4lY2MUvv8cXprhi/xlZTZJcfjgeapVD6BqNX9cXV24s1c4G9fZZhRvb10bjwpuAIQ1DSU+Lg0AgwGys/PIzTWRm5NHXp4J/wDPUu/Djdp/+CLVq/kRWtUPN1dnendvRNSmYzZtqoX40qCuEYOT7eiQWtUDqBlqvVMYFOiFv18lklLK1okKgFOdVpiPWE+yLbHHMbhXgkq+hdpZYo9DRkrhD7BYwK0CAAb3ilgykgq3KQP2H4m5ui34Xt0WGhK1+YRNm2ohPtfdFsqS/b/GU72qD6FVfKz9jKhH1FbbxGLUltP072G9a9qzcx227T6PxWKb9V6+9hi9I+rlv27eOBhjQKWS78BNtP/QeWqE+hNazR83Vxf63BlO1Abbi/ZqVfxoWC8Yp+uMDjt45CKJSem0v6NuaYX8t609kEC/1iEYDAaa1/IhLTOP+NRsmzbxqdmkZ+XRvJYPBoOBfq1DiDqQYNPGYrGwak8cfVpa76g1DvXG6OMOQL2QSmTnmsjJNZdOp26QU4M2mPatBcBy4Si4VwJPP9tGedmYzxyw/tuchznmJAavAOs6qfFY4s9Y94FlTHk/9u3ff4bq1QMJDa2Mm5sLvXu3ZG3UPps2d7RpQIWr5z3NmtUiLtZ6/KtVK4iaNa3JOWOQLwH+XiQlpZduB/6mtQcv0a9VsHU/UPOP9gMmmte8uh9oFUzUAWsiy2CA9Kw8wPq/Rh+3Uu9DSdp0Yi9JGWn2DqNEWI97AQXHvR5NiVpve85vPe6FXPe4dyuo2LErl1ctBSD70H6cPL1wDqhcqF3+6AhnFwyurvnnQa6hNcjauxOAKzu24dm5e+kELnKDymySIj4ujaAgn/zXxiBvEuKL3jkvjdxF2w7Wi5PwZtVp2aoWfbpNo3e3abRpV49atY0lHvPNEpeQTkhQwRDF4EAv4hIu/+XP2X/4Irm5JqpX9fvzxg7G4OmP5XLBHTRLeiIGz4Bir2/avhCnRp1wfWQuLv1fwbTu45IIs8TFJaQTYiwY7mrdFsrWiWdxxF1KJ8RYkEgMruxJXILtMMX4Sxn5bVycnfCq5EZKmu2d0pXrTtDnmiRFWRSXcJnga/Z9QUHexCUU78TUbDYzbdYqxj7b888bO5C4lGyC/TzyXwf7ul/34iTIt6BNkK87cSm2bXaeTCHAy42axoqFvmP13ngaVfPGzdWxD4sGrwAsadfs+y4n5icgrsu9Ek71W2M+va/oNmVEeT/2xcelEBxSEHNQsB9xcalFtv9u0VY6dmpS6P39+8+Qm5tH9eqFL3AcWVxqNsG+7vmvi9wP+BS0CfJxJ+5qm5cH1GPG0pN0nbCV/yw9wXN96pRO4PK3xcWn/u6451Ps4x5Adk4e9z7wLvc99D5r1h0uiRBLnEtlI3nxsfmv8+LjcKl8/WuXkJkfUHPZBsxXrpCx/icAck+fpGLHCAA8u/bEJSi45IMW+RuKVZMiKSmJefPmceLECbKzCw4I8+fPL7HAbqaVy/Zy5NAFPvjkEQDOnU3kzOkEfvhpDABPj/iUPbvOcFvLmnaMsnTFX0rnxYk/MPXVvjiV4TvsN8qpQUfMh9Zh3v0DhpD6uPR6htz5zwFl7+6iFM++I7F4eLhQv1bxk1m3mi8X7aBT+3o2J3vlyfJdsfmjKK51PCadmUtP8NGTt9khqhJkcMJ14BhMv/yAJSXuz9uXA+Xl2Ld06c8cPBTNggW2w//j41MZ++KnTJn6EE5Ojp2Qu9m+3nKBl/rXpUczIyv3xPPq17/yyZPN7R2WlIJ1y8YQZPTh3PkkHnr8I+rXDaJ66K17LhDzwuMY3Nwwjp9KhRZ3kLlzG/FTxlN51Ev4D3uMjM3rsOTm2jvMMsdiduyRlreaYiUpRo8ezV133cX69euZMGECkZGR+Pvbt7iYMcjb5g5CfFwagcbCBZB+2X6CT+dt4P3/PYybm7W766MOE9Y0lIoVrdn2th3qcXDfuTKTpAgK9CQmriCDHJtwmaDAwsWjipKekc3jo79h1IjONA+rWhIhlginZr1wCrMOT7PEncDgVTk/pWDwDMCSnlj8zwrrRt73b1o/K+YYuLhBBS/ILFtDJYMCPYmJL7iTaN0Wys7UpeIKquxJTHzBCJHYS+kEBdpO0zBWrkRMfDrBgZ7kmcxczsjB17vgzvqKtWV/FAVYh6rHXrPvi4tLIyiweMXf9uw/x6690Xy1aAcZV3LIzTNRsYIbo5/uUVLh3rAvNp5j0dYLAIRV9yY2uWBUTGxKdv40jd8YfdyJSyloE5eSTdA1d13zTGbW7Etg0ZjWNuvFJmfx9Lz9TH2wCdUDC4+wcATOt/fGuYV19Iv54nEM3tfs+7wCsFy+/r7Ppe9ILIkXMf28tJQiLVnl9dj3G2OQL7Exyfmv42KTbUaU/mbr1l/58INVzF/wPG5urvnvp6dn8vjj7zFq1D00b16rVGL+u77YfJ5F26x1N8KqexF7zeioIvcD14yuiLtmZMXiHbGMG2A9BvRqHshrRdS2EccTZPT53XEvtdjHvd/WBwit5k/rlrU5fPRimUhSeN97P953DwQg+8hBXIwFSXYXYxB5l+KLWhVLTg4Zm9dRqWNXMnduI/fsaWKetxYIdw2tQcW2nYpcV8QRFCuNnpKSwuDBg3FxcaF169ZMmTKF7du3l3Rsf6hRk6qci07k4vkkcnPz+GnVATp1aWjT5uiRi0yduITps4fa1JwIDvFlz87T5OWZyMs1sWfnGWrWDiztLtyw8EZViD6fzPmLKeTkmlix5ggRHYp38ZWTa2LkS9/R766w/KrnZYV53yryvhhN3hejMZ/8BadG1srOhuB6WHKuXL/2RFHSEnCq3tT6b/+q4Oxa5hIUAOENQ4g+d+228CsR7ctOrYHiCm9oJPpCKudj0qz9XHuciLY1bdpEtKvF4tXWk84fN5ykzW1V85/YYzZbWLn+BH26lv0kRXjjqpw5m8S5C8nk5Oax/KcDRHQq3m955v8NYv2yF1i79HnGPtuT/r2bOWSCAmBop9D8YpfdmhpZ8ksMFouFvadT8fJwue7FiaeHC3tPp2KxWFjySwwR4QX79W1Hk6gVVNFm2kjalVwe/2Avz99Tlxa1C9e0cRSmnSvIkIrXDgAAIABJREFUmfssOXOfxXx0O87NrEN2DVUbQPYVSE8utI5L1wcweFQi78d5pR1uiSmvx77fhIfXIDo6nvPnL5GTk8eKFbvoGtHUps3hw+d44/Uvefe9JwgIKEjg5OTk8fTIufTrdwc9e7Uo7dBv2NAO1Ygc04rIMa3oFlaZJTtirfuBM6l4VShqP+DM3jNX9wM7YokIs05rMXq7s+Ok9Txh+/FkagRWKPX+yI0Jb1yVM+cuce5CkvW4t3o/EZ2LVww8NS2TnBxrLZKk5Ax274umbhmZ4p32/decHz6Y88MHk7FpLV697gHAvUlTzOnpmBJtCwcbKlQoqFPh7Eyltp3IibbW73L2vXpz2WDA76ERpC35ptT6IXIjijWSwsXF2sxoNLJ+/XqMRiOpqUXPgywNLi7OjB7Xl2ee+Ayzyczd/VtSu24QH767hkaNq9KpayPeeWsVV67kMG701wAEB/sy450HiLizCTt/OcnQgXPAAG3b16Njl7Jz0uLi4sRrz9/Jw899jdlkYWDfptSrHcjseRsJaxhCRMd6HDh8kZEvf0/a5SzWbT7OnI83seyLR1kVdYSde8+RkpZJ5AprYbUpr/SlUf0gO/fqr7Gc3o2lZgtch7+LJS8b0+p385e5DJ1B3hejAXDu+CBODTqCqzuuj8zFfHANpu3fkLfxM1zufAKnFn3BYiHvxzn26srfYt0WuvPw84swm80M7BNOvdqVmf3RZsIaBhPRoS4HjsQwctxi0i5ns27LSeZ8vIVln//b3qH/JS7OTrz2dEceHrvUus3f1Yh6tQKY/cnPhNU3EtG+FoN6N+LFyWvo8cACfLw8eOu1govvHfsvEmL0JLSK7V3H6R9uZVnUMTKz8+h836cM6t2Yp4e1/v3XOxQXF2fGv9iHR56Zj8lkZuA9LahXx8jbH0QR1qgq3To3ZP+hC4x88SvS0jJZt/ko73y4luXfPG3v0G9Y5yYBbDx8iZ4Tt1ofPfhAwTz7AVO3E/lSGwDGD2mY/wjSjo0C6NS44E7Zil1xhaZ6fLHxHGcvXeH9Vad4f9UpAD56qgUBXo5bUM98fCdOdW/HbeRc6yNIl76dv8xtxNvkzH0WvAJw6TgEc8I53EbMAsC0YzmmPasxVKmH233jwMMTp/qtsHQeSs4HT9mrO39JeT/2ubg48+prQ3jk4TmYzWbuHdiWevWqMHv2D4SF1SAioinTp3/PlSvZPDfqIwBCQvx47/0nWLVqFzt3HiclJYPFkdabTJOnPEijRqH27NJf0rlxABuPJNFz0nbro4jvLzhvGzB9B5FjWgEwfmB9Xv7qV7JzTdb9QCPrxdnEIQ2YHHkck9mCu4sTE+8rO+d9xfHlvyfSpX4LKnv6cm7yUl5fNo//bf3B3mHdFNbj3j08MvITTCYLA/u1pF6dIN5+/yfCGlejW+dG7D90npGjP7ce9zYd4Z0Po1j+7ShOno7n9UmLMTgZsJgtPDqsM3Vrl53f/W+ubNtExbadqL5wBeasLBImFzzdo9on33J++GCcPCoSPPUdDK5uGJwMZO7ekZ+M8LzzLrzvvR+AjA1RXF6+2C79ECkug+X35e+vY926ddx+++3ExMTw5ptvkpGRwciRI4mIiPjTL0jJ/vamBFoW+aSX7+cP586/NQ6ON8r1gbvsHYJ95ZStyvk3m8Gr7J0E3Szm7RvtHYJd5Ww/a+8Q7Mr9qYH2DsGuLP5l58L/pltZfs/5AJx/2GvvEOzKMn2MvUOwq5O93rB3CHZVZ/MBe4dQohIf7GDvEEpEwILN9g7huoo13WPVqlVYLBbq16/PggUL+N///sdPP/1U0rGJiIiIiIiISDlSrCTF0aNH8fYuKFDj6+vLkSNH/mANEREREREREZG/plhJCrPZbFODIiUlBZPJVGJBiYiIiIiIiEj5U6zCmf/+978ZMmQIvXr1AqzTPx5//PESDUxERERERETE3izmPy3jKDdRsZIU/fv3JywsLP+xo3PmzKFu3VvvMYciIiIiIiIiYj/FSlIA1K1bV4kJERERERERESkxxapJISIiIiIiIiJS0pSkEBERERERERGHUOzpHiIiIiIiIiLljcWkwpmlSSMpRERERERERMQhKEkhIiIiIiIiIg5BSQoRERERERERcQiqSSEiIiIiIiJSBItZNSlKk0ZSiIiIiIiIiIhDUJJCRERERERERByCkhQiIiIiIiIi4hBUk0JERERERESkCGbVpChVGkkhIiIiIiIiIg5BSQoRERERERERcQhKUoiIiIiIiIiIQ1BNChEREREREZEiWEyqSVGaNJJCRERERERERByCkhQiIiIiIiIi4hCUpBARERERERERh6AkhYiIiIiIiIg4BBXOFBERERERESmCxazCmaVJIylERERERERExCEoSSEiIiIiIiIiDkFJChERERERERFxCKpJISIiIiIiIlIE1aQoXRpJISIiIiIiIiIOQUkKEREREREREXEISlKIiIiIiIiIiENQTQoRERERERGRIlhMqklRmko8SeETf6Gkv8JhGao1s3cIdmXwKOc5sMw0e0dgXx6e9o7ArswHd9o7BLsx+PnYOwS7cmseZO8Q7MrgX8PeIdiVwd4B2JE5K9veIdiVZfoYe4dgV4Yx0+0dgl2d9/OwdwgitwxN9xARERERERERh6AkhYiIiIiIiIg4hHI+Hl9ERERERESkaBaz2d4hlCsaSSEiIiIiIiIiDkFJChERERERERFxCEpSiIiIiIiIiIhDUJJCRERERERERByCCmeKiIiIiIiIFMFistg7hHJFIylERERERERExCEoSSEiIiIiIiIiDkFJChERERERERFxCKpJISIiIiIiIlIEi1k1KUqTRlKIiIiIiIiIiENQkkJEREREREREHIKSFCIiIiIiIiLiEFSTQkRERERERKQIZtWkKFUaSSEiIiIiIiIiDkFJChERERERERFxCEpSiIiIiIiIiIhDUE0KERERERERkSJYTKpJUZo0kkJEREREREREHIKSFCIiIiIiIiLiEJSkEBERERERERGHoCSFiIiIiIiIiDgEFc4UERERERERKYLFrMKZpUkjKURERERERETEIShJISIiIiIiIiIOQUkKEREREREREXEIqkkhIiIiIiIiUgSLSTUpSpNGUoiIiIiIiIhIsaWkpDB8+HB69OjB8OHDSU1NLbJteno6nTp1YuLEicX6bCUpRERERERERKTY5s6dS9u2bVm9ejVt27Zl7ty5RbadNWsWrVq1KvZnK0khIiIiIiIiIsUWFRVF//79Aejfvz9r1qy5bruDBw+SmJhI+/bti/3ZqkkhIiIiIiIiUgSL+dasSbFw4UIWLlyY/3rIkCEMGTKkWOsmJiZiNBoBCAwMJDExsVAbs9nMtGnTmD59Olu3bi12XEpSiIiIiIiIiJQzf5aUGDZsGJcuXSr0/qhRo2xeGwwGDAZDoXZffvklnTp1Ijg4+C/FVeaSFJt+Ocuk9zZjNlsYdFcjRvyjhc3ynBwTY6dFceh4Ar7eHrz16p1UC/YG4OipRMb/dwMZV3IwGAwsem8g7m4uLFt7nA+/3I3BAMaASkx/uRt+PhXs0b1i27jpEJMmfYPZbGbwoPaMGNHLZvknn6zh20WbcXZ2xt/fk8mT/kXVqgEAPPzIbPbtO03LFnX58MOn7BH+32axWJiy4QKbTqfh4erEpB7VaWysWKjd21tiWHokibRsEzueamqzbNWxZN7bHosBAw0CPfjPXTVLKfobs2nHWSa9t/Xqtt+QEfffZrM8J8fE2P+s5dDxS9Zt/5XuVAv2Aq5u+7M2knEl17rtvzsAs9nCqDfXcDYmDWcnA13b1OCFR+6wR9eKZdPPp5n09jpr//uGMeIB21hzcvIYO2klh47GW/s/oS/VQnzIyTXx+vSfOHg0DieDgXHPduWO20IBWBH1Kx/M/xmz2UKXdrUZ/UQne3TtT1ksFiZ/eZCN++PwcHNm8sO30aSmb6F2h86k8PJHe8jONdGpaRDj/hmGwWDg7e9/Ze2eGJwMBvy93Zny8G0Y/Tz4Ydt5PlpxHIsFKnm48Pq/mtKwuo8devjHLBYLkxbsY+PeWDzcnZky4naa1PIr1O7g6WRe/nAn2TkmOjUP5pUHm2EwGFj183nmfH+Ykxcv882ECMJrW9fdciCOmQsPkptnxtXFiRf/EU6bJsbS7t6fslgsTF5yio2/JuHh6sTkIQ1oUs2zULtD5y/z8sJjZOea6dTQn3H9amMwGPj1YjpvfHeCKzkmqvp5MP2fDfD0sB7+j17M4PXvjpOebcLJAN8+cxvuro47E7S8H/vKe/+vZbFYmPzDaTYeTcHDzYnJg+rSpGrh38WsH6NZsieBtMw8dk1oY4dIb46NW48xacYyzCYzg/u3YsTwzjbLd+w+zeQZyzl6Ipa3Jg+hV/fw/GWNWr1C/brWC4SQYB8++O+/SjX2kvbxg6/QN7w98ZeTCX9zqL3DKTE+I17Ao2V7LNlZJL89gdyTRwu1CXhjNs7+AeDsQs6hPaR88B8wm/OXe/Yfis/Do4gZ2h1zWtFFDkV+8+mnnxa5LCAggPj4eIxGI/Hx8fj7+xdqs2fPHnbt2sVXX31FRkYGubm5VKxYkdGjR//h9zrumch1mExmJr6ziXmT+7Ls4/tZvu4EJ6KTbNosWnkEby93Vs8fykMDmzJz3nYA8kxmxkxZw4RRnVj28f3Mn9kPF2cn8kxmJr+3mfkz72HpvCE0qB3A54sP2qN7xWYymZk48Ss+mjeS5cteZ9nyHZw4cdGmTaNGoXy3aBw/LH2Nnj1bMH3G9/nLHnm4B/+ZNry0w76pNp25zNnkbFYMa8Qb3UJ5M+r8ddt1qe3N1/+oX+j96ORsPtoRz4L76rHkXw0Z27lqSYf8t1i3/S3Mm9ybZR/dd3XbT7Zps2jVr3h7urP6s3/w0L3hzPzomm1/6lomPNuJZR/dx/yZd+PibP3pDx/clJX/G8L37w9k96FYNv5yttT7Vhwmk5mJb0Uxb8a9LFswjOVrjnLitO2QskXLD+Lt5cHqrx/moftaMvODjQB8+8N+AH747CH+999BTJuzHrPZQnJqJtPf28inswazbMEwEpIy2LYzupR7Vjwb98cTHZfBqqndmDCsGRMX7L9uuwnz9zNxeDNWTe1GdFwGmw7EA/DwXXVY8mZXIid2oUuzIN5baj2xqVa5IvNfas/S/+vKE/fU5/XP9pVWl/6SjftiiY5N58eZPZn4cAsmfLrnuu0mfLKHNx9pwY8zexIdm86m/XEA1Kvmzexn23J7g8o27f283Hn/hXb8MPVOpj52Oy9+sKPE+3IjNv6aTPSlTFaNvZ0Jg+ox8fsT12034fsTTBxUj1Vjbyf6Uiabjlr3Ea99e5zne9dk6Qst6R4WwMfrrfvLPJOFF7/6lTcG1mXZ6JZ89nhTXJwL3wVxFOX92Ffe+/97G4+mEJ2YxarRtzFhQB0mLj513XZdGvmz8Mmm111WVphMZiZOXcpHs4exfNEolv24jxOn4mzahAT7MmXCQPr2alZofQ93V5Z89TRLvnr6lktQAHy6bTm93nnO3mGUKPeW7XCpUp24x+4l+d3J+D7x0nXbJU17mfhnhhL/1BCcfPyo0L5b/jLnykG433YHefExpRW23OIiIiJYvHgxAIsXL6Zbt26F2sycOZP169ezdu1axo4dS//+/f80QQFlLEmx/2g81av4EFrFGzdXZ3p3qUvUljM2baK2nqF/jwYA9OxUh217LmCxWNiy8xwNagfQsI71JNXPxwNnZycsFgsWC1zJysNisZB+JQdjQKXS7tpfsn//GWpUNxIaGoibmwt9erciKsr2oqVNmwZUqOAGQPNmtYiNLbigbdu2IZUquZdqzDfbupOp3NPIH4PBQLOQSlzOMZGQkVuoXbOQSgRWci30/qKDidzfrDI+V+8mBlQs3MaRWLd9b0JDrtn2t56xaWPd9q0JmZ6darNtz8Wr2/55GtT2p2Ed6900P2/rtl/Bw5U2za3JGTdXZxrXrUzspYxS7Vdx7T8SS/WqvoRW8bX2v1sDojbbXqhFbTpB/15NAOjZpT7bdp3FYrFw8kwibVpUByDAryLenh4c/DWW8xdTqVHND38/6wicdi1rsHrD8dLtWDGt3RNLv3bVMBgMNK/jT9qVXOJTsmzaxKdkkZ6ZR/M61t9Fv3bViNodC4BnhYLtOzPbBFevQ2+r549PJet+olkdP2KTbD/TUUTtiqFfhxrW/tcNIC0jl/jkTJs28cmZpGfm0rxugLX/HWqwZqf1Aq5OVW9qV/Eq9LmNa/oS5GcdNVevmjfZOSZyck0l36G/aO2hRPq1NFr7X8ObtKw84tNybNrEp+WQnmWieQ1va/9bGok6aE3knbmUSava1hEy7er78dMB67DNLceSaRBSiYZVrHef/Sq54uzkuEmK8n7sK+/9/721R5Lod1ug9XdR3eu6vwuA5tW9MHq72SHCm2f/ofPUCA0gtJo/bq4u9OnRlKj1R2zaVKviR8N6IThdZ7j1rW7Tib0kZaTZO4wSVaFNZ66sXQ5A7tGDGCp54eQXUKidJfPqeZyzM7i4wjVlFHweeY7UT94By61ZW6GkWcyWW/K/v2PEiBFs2bKFHj16sHXrVkaMGAHAgQMHeOWVV/7WZxc53WP16tV/uGKPHj3+1hffiLhLGYQYCxIIwYGV2PdrvE2b+MR0QgKtJ1wuzk54VXIjJS2LM+dTMBgMPDx2GcmpmfTuWpdHhtyGq4szrz/biXseXUhFD1dqVPVh/NMdS7Vff1VcXDLBIQVDnYOCfdm/73SR7Rct2kKnTmGlEVqpicvIJdir4MIryNOVuPTc6yYkric62Xox9sDC45gtFp5sE0yHmt4lEuvNEHfpSv52DRBc+Xrbfsb1t/0LKRgw8PBLy0lOzaJ3lzo8MqS5zbpp6dms2x7Nv+4NxxHFJaQTYiy4yAwO9GLfEds7AfGXCtq4uDjhVcmdlNRMGtQ1snbLSfp0b0hs/GUOHYsjJv4ybVpW5/S5JM7HpBIc6MWazSfIdcALVIC4lCyC/QumoAX7VSA+OQujr0f+e/HJWQT5F7wO8q9A3DWJjFnfHWHJlnN4VnTlsxfbFfqO7zaepWO44011AIhLziQk4Jr++1cgLjkLo1+Fa9r87m/kX4G43yUy/siPOy7QuKY1CeZo4tJyCPYtuLgM9nEjPjXb5sIrPjWbIJ+CNkE+7sRdvWCrG1SRqEOJdA+rzI/7EohJtb5/5lImGAw8Mu8ASRm59G4WyCNdQ0upV39deT/2lff+/15c6u9/F+7Ep+WU+YTE9cTFpxIcVDAVLyjIh/0HzxV7/eycPO594F1cnJ0YMawz3bs2LokwpQQ5BwRiulQwesaUGI9zgBFzcuFChQETZuNWvwlZu7aSuTUKAI87OmFKTCDvjGPejJGyyc/Pj88++6zQ++Hh4YSHF76muPfee7n33nuL9dlFJinWrVv3hyvaI0nxd+SZLOw6GMOidwfi4e7CsDE/0KReILc3DeHrHw4R+cFgQkO8eXPOZuZ+tYcnHmhp75BviiVLf+bgobN8vuB5e4fiUPIsEJ2SzSeD6hKXnsND354g8oEGeHuUuTItfyrPZGHXoVgWzRlg3fZfXEaTepVp26La1eVmXpgcxYMDwggNcdxEzY0a2DuMU2cSGfTo51QJ9ua2sCo4Oxnw8fLg9Re68/zryzA4GbgtrArnLqTYO9wSM2pgI0YNbMTcZcf5Iuo0Tw9omL/s5yOX+G7TWT4f18GOEdrP8fNpzPz6IB+PvTX7P+m++kxafJL315wjorE/rlendJhMFnafTuXbZ2/Dw9WJ4R8eoEk1T9rWK1zvo6wp78e+8t5/sbVu2RiCjD6cO5/EQ49/RP26QVQPLXwXXm4Nia8/A65u+I9+E/emt5NzZB9eg4dzafxIe4cmUmxFXpFNmTKlNOMolqDKlYiJLxiOHpuQQdDvpmYYAzyJSUgnONCTPJOZyxk5+Hp7EBxYidvDQ/ILYna+ozqHjyfgWdGaca9exZqhvqtzHeZ9ff35zo4iKMiP2JiCIZxxsSkEBRU+qdy69QgffLCSzxc8j5ubY09nKI6v9iWw6IA1YxwWXJHYywXTO+LScwnyLH4fgzxdaRpcEVdnA9V83Knp5050Sg7hwY6ZpAiqXJGYhPT817GXMgiq/Pttv9L1t/3Kv9v2W1fn8IlL+UmK8f/dSI2qPjx0r+PO2Q0K9CQm/nL+69iEywRVti2QZqxsbRNs9CIvz8zljGx8fSpgMBh4+Zmu+e3uf+JLaoZaC/tEtK9DRPs6ACxcut+hhrp/EXWaRRusNTLCavkSm1QwKiA2OROjn4dNe6OfB3HXTNeIS8okyNe2DUDftlV57L8/5ycpjp5L5bVP9vLh823w83ScO5Bf/HSSb9dZ7xKH1/YjJvGa/idlEvS7/gf5edj+jZIy86dy/JHYxCuMnLWNaY/fTvWgwkX37OWLLRdZ9LN1uk5YqBexKdn5y2JTczD62A7bN/q4E5da0CYuNZugq3eUaxsr8vEI6x2N0wlX2PCrtZZTkK8bt9f2we/qCLRODf05fCHDYZMU5fXY95vy3n+AL7bFsGiH9W5yWDXP3/0usm/JURQAQUYfYuMKihzGxaUSFFj8mwpBRus5bmg1f1q3rM3hoxeVpCgDKvUeTMWe/QHIPX4Y58pB+cucA4yYEuOLWhVyc8jcvgGPOzpjSk7EOagKxtlfWtetbCRw1uckPD8Mc0rhkRgijqBYNSnWr1/PvHnzmDNnTv5/9hDewEj0hRTOx6SRk2tixfoTRLSradMmol1NFq+2FoX7ceNJ2jSvisFgoMPt1Tl+OonMrFzyTGZ27LtInRr+GCtX4mR0Mkkp1pPbrbvOU7u6Y56g/SY8vAZnouM5d/4SOTl5LF+xg4gI2wvMw4fPMv71L3j/vScICLg17o7/o1kg3z3QkO8eaEhEHR+WHknCYrGwLyYDTzfnYk/1AOhWx4cd560X/cmZeZxJzibUx3FPbqzbfqrttt+2hk2biLY1WLz6GAA/bjxFm+ZVrm77obbb/v4Y6tSwbuOzPvmFyxk5jHui8PB/RxLeMJjo8ymcv5hq7X/UUSI61LFpE9GhDotXHQLgx/XHaNOiOgaDgcysXK5kWhNaW3acwcXZibq1rCdniclXAEi9nMVXkXsZ1NdxprsM7VaLyIldiJzYhW4tQliy9TwWi4W9J5PwquBqM9UDwOjrgWcFF/aetP4ulmw9T8Rt1mruZ2ILElxr98RSO8R6MX4x8QrPzNnBtEdbUCvYcS7QAYbeWYfFk7uzeHJ3urWswpLN0db+n0jEq6KrzVQPAKNfBTwruLL3RKK1/5uj6dYy5A+/Iy0jh8dmbuWFIWG0qF/5D9uWtqHtqxD5fAsin29Bt7AAluyKt/Y/Og0vD+dCF2NGbzc8PZzZG51m7f+ueCKaXN3O063TO8xmCx+sOceQNta/S4f6fhyLzSAzx0SeycKOU6nUCSr8lCRHUV6Pfb8p7/0HGNo2hMhnmhP5THO6NfZnyZ4E6+/i7GW8PFxu2SRFeOOqnDl3iXMXksjJzWP56v1EdG5UrHVT0zLJyckDICk5g937oqlb2zGn9omtjBXfkvDsUBKeHUrm9vVUjOgDgGuDMCxX0gtN9TB4VCioU+HkjEerDuSdP0Ne9EliH+xJ3CP9iHukH6ZL8SSMekAJCnFoBovlj6unjB8/nqysLH7++WcGDx7Mjz/+SHh4OJMnTy7WF1jOzbopgf5mw8/RTH5vC2azhYG9GvL40JbM/vQXwuoHEtGuFtk5ebw4NYojJy7h4+XBW6/cSWgV64F66ZpjzP3K+qjRTq1rMGZEWwC+/uEQ8yP34+LsRJUgL6aMicDPp/AdyL/KUK1wheWbZcOGA0ye/C0ms5mBA9vxxOO9eXv2UsLCatAtohnDhs/i2LELBAZas+chIf588P6TAPxz6AxOnYrlypVsfH0rMen/HqRjxyY3PcbcDz646Z/5G4vFwqR1F9gcnUYFFyfe7FGdsKsn1wM//5XvHrDeJZ656SIrjiYTn56L0dOVe5v481TbECwWC9M3XmRzdBrOBgOPtg6id4Obm5xy6XNzH+e54eezTH7f+gjSgT0b8PjQFsz+dMfVbb/m1W1/HUdOXsLHy523XumeP31j6ZpjzP1679VtvzpjHm1DbEI6Xf75BbVDC+bhD+3XhMG9i3fi86c8bu5F74Ztp5g8ez1ms5mBfcJ4/F9tmP3RFsIaBhHRoS7Z2Xm8+H8rOXI8Hh9vD956ow+hVXw5H5PKIy98h5OTgaDKnvzfSz2pevWxxM+/sYyjJxIAeHJYW/p0b/hHIfwllhM3b96nxWLhzc8PsPlAfP4jSMNqWR9BOmD8eiIndgHg4OkUXv54D9k5JjqGG3n1gXAMBgPPzNnB6dh0nAxQJaAibzzUlCC/Crz6v738tCuGKlfrPTg7G1j0eucioig+g+vNvXtrsVh487O9bPrtEawjbs9/jGj/cWtYPLk7AAdOJTNu7k6yckx0bBbEa/9qjsFg4KcdF/i/+ftIupyNd0VXGtbw4eOxHXl/8RHm/nCUGteMoPh4bAcC/ub+3xLzB3e3buTzLBbejDzJ5qPJ1kct3lefsFBr/ZUBb+0m8nnro7gPnit4BGnHhn682v//27vv8CiqNQzg77b0XimhhBpqMICgQDAhKCWhgwjSREERQQQ09KYgVWkGvHDhgjSV3pEq0hFICCA1JiGQQno2ySa7e+4fKwsxCUFMtpD39zw+sjNnN9/ZnT0z+82Zb2pCIpFg3ck4bDytq+HSvpErPutYXX8v812/J+L7Y7GQQDeTYnyw97+OVxpSdrcANId9X1ky9f5rt68r1dd7FiEEZu2Kwm+3UmGlkGF2r1po+NetebsvuYLto3S1l+bv/xN7rzzEhXnXAAAgAElEQVRCYmYePOwt0Ku5B0YGVS2TmKRvBpfJ6wLAid9uYvbCPdBoBHp2bYqPhgZgcdgvaFjfC+3a1kPEtfsYOe4HZGTkwNJSDjdXe+z96VNcCo/GtK92QCKVQGgFBvZrhd7dmpVJjJLx88vkdUuy8b2ZeKOOH9zsnJCQkYJpe/6D/57ebfA47t8v27pWjh9+Diu/1/66BelM5N/RFU91X7wBSaP7Q+rkAtep30AiVwBSKVQRF5G+6htAWzAuz1U7kfTZwFK/BWnl3aZ5h6zSctOvlI6PTUzdSzdKbmQEJSYpQkJCsHv3bv3/lUolPvjgA2zcuPG5/kBpJynMSVkmKcxBWSYpzEFpJynMTiknKcxNaSYpzE1pJynMTWknKcxNWSYpyLQZMklhisoySWEOjJWkMBVlnaQwdUxSmCdTTVKUeLmHlZXujJK1tTUSEhKgUCiQlJRU5oERERERERERUflSYpXAN954AxkZGRg6dCh69OgBiUSCXr16GSI2IiIiIiIiIipHSkxSfPzxxwCAt956CwEBAVCpVLC3ty/zwIiIiIiIiIiMTat9ZoUEKmXPdb/FS5cuIS4uDhrNk2utunXrVmZBEREREREREVH5U2KSYvz48YiNjYWPjw9kMt0dACQSCZMURERERERERFSqSkxSREZGYt++ffrblRERERERERERlYUSkxS1a9dGUlISPDw8DBEPERERERERkcnQao0dQflSbJLiww8/BAAolUp07twZjRs3hkKh0K9fsWJF2UdHREREREREROVGsUmK9957D0IILFiwAMuXL9cvf7yMiIiIiIiIiKg0FZukePXVVwEAarVa/+/HcnNzyzYqIiIiIiIiIip3ik1SbNy4EZs2bUJsbCxCQkL0y5VKJfz8/AwSHBEREREREZExsSaFYRWbpAgJCYG/vz8WLVqEsWPH6pfb2trCycnJIMERERERERERUflRbJLC3t4e9vb2WLRokSHjISIiIiIiIqJySmrsAIiIiIiIiIiIACYpiIiIiIiIiMhEFHu5BxEREREREVF5x8KZhsWZFERERERERERkEpikICIiIiIiIiKTwCQFEREREREREZkE1qQgIiIiIiIiKoZWGDuC8oUzKYiIiIiIiIjIJDBJQUREREREREQmgUkKIiIiIiIiIjIJrElBREREREREVAyt1tgRlC+cSUFEREREREREJoFJCiIiIiIiIiIyCUxSEBEREREREZFJYE0KIiIiIiIiomKwJoVhcSYFEREREREREZkEJimIiIiIiIiIyCQwSUFEREREREREJoFJCiIiIiIiIiIyCSycSURERERERFQMFs40LM6kICIiIiIiIiKTUOYzKXK//6Ws/4TJyk/caewQjCpiehtjh2BULfdfNHYIRiX1sDN2CMbl5mzsCIxGUqeRsUMwqnNVbho7BKOybvCRsUMwKmk5Pv1jf2aksUMwKk2H6cYOwajuO1sZOwSj8vKSGTsEoxLGDoBeKuV4V0pEREREREREpoQ1KYiIiIiIiIiKwZoUhsWZFERERERERERkEpikICIiIiIiIiKTwCQFEREREREREZkE1qQgIiIiIiIiKgZrUhgWZ1IQERERERERkUlgkoKIiIiIiIiITAKTFERERERERERkEliTgoiIiIiIiKgYrElhWJxJQUREREREREQmgUkKIiIiIiIiIjIJTFIQERERERERkUlgkoKIiIiIiIiITAILZxIREREREREVg4UzDYszKYiIiIiIiIjIJDBJQUREREREREQmgUkKIiIiIiIiIjIJrElBREREREREVAzWpDAszqQgIiIiIiIiIpPAJAURERERERERmQQmKYiIiIiIiIjIJLAmBREREREREVExhBDGDqFc4UwKIiIiIiIiIjIJTFIQERERERERkUlgkoKIiIiIiIiITAJrUhAREREREREVQ6s1dgTlC2dSEBEREREREZFJYJKCiIiIiIiIiEwCkxREREREREREZBKYpCAiIiIiIiIik8DCmURERERERETFYOFMw+JMCiIiIiIiIiIyCUxSEBEREREREZFJMPvLPRSdhkNapxmQr0Letm8gHt79WwNLWLw9ARKXCoDQQvPHeah/WQsAkDXvCHmLYECrhcjLQf7OpRBJsYbvxAuyfPsTKBq2gMjLRc7audDG3i7YQGEJ6+HTIXWvBGi1UEechmr7fwAAEmcPWA8JhcTaDpBKodr+H6gjzxmhFy/m6rmH2LTsMoRGoE3nGujUv16R7S6eiEXYtNOYsqI9qvu44N6NZKxbcBEAICDQdXBD+LXxMmTopUIIgTlHYvHr3QxYK6T4qlN11K9gU6jd4l/jsCsyGem5Glz87JVC6w/dTMWYHfewZaAPGla0NUToL0wIgdk77uLXG8mwspBhdt+6aOBlX6jdtdhMTNh8E6p8DfzruWJit5qQSCS4EZeF6T/fQp5aC5lUgqk9a6NxVQecv5OGj9dEwsvFCgAQ1MgNH79Z3cC9ezYhBGZvuIpfwxN0ff/ADw2qOxVqdy0qDRNWXYIqTwN/X09M7N8IEokE8zdH4tiVeChkUlTxsMXs91+Bg60F8tVaTPnvZVyPTodGo0XXVlUxLKSOEXr4/H49cxtfLTwArVaL3l39MGxQmwLrL1z6E7O/OYCbdxKw6Mte6NCuQYH1WVm56NR3OYLa+mDq+M6GDL1URJx7gA1LL0GrFWjbuSaC+9cvst2FE7FYNvU3TF/5Jrx9XBF54SF+/D4cmnwtZAop+n7UBPX9Khg4+tJRaeIkOPj7Q5uTi9iJE5Bz43qxbasv+w4WVbxwq2uXAsvdBw9Bpc+/QOTrLaFJSyvrkEtVxQmTYN/GH9rcXNyfNAG5z+h/taXfwcLLC7e76/rvOXIU7APb6Y4JUlJwf9IEqJMSDRX6v3LhdDRWLPgVGq1Ax2718fbgZgXW7/n5Knb/dBVSmQTW1gqMnhSIajVcEP8gAx/0/gFe1ZwBAD4NK2D0xABjdOFfcx0dCtvX2kCbm4vE2ZORd+tGoTYVF4ZB5uoOiUyGnPBLeLToK0CrhUWtOnAfNxUSaxuo4+OQMCMUIltphF68OMdhY2HVtBWEKhepi2cg/+7NQm1cpy+BzMUVkMmRd+0y0lbMKzBP365bfzgO/RQP+wdBm5FuyPDLzOoBkxDcqBUSM1PRaFZ/Y4dDVCrMOkkhrd0MEtdKUH37ASRedWER8jFU339WqJ361DZooyIAmRwWg7+CtHZTaG//Dk3EcWgu7Ne9lk8LKDp+gLx1Uw3djRcib9gCMo/KyJryLmTe9WDdfwyUX48o1C7v0BZobl0BZHLYjFkIeYNXob52HpadByD/4nHk/7oL0orVYDPya2RNescIPfnntBotNiz+HWMXvAFnd2vM+vAXNGlVCZWqOxZol5Odj8Nbb6NGPRf9ssrejpiysj1kcinSknMwfehB+L5WCTK5eU0qOnkvA9EpKuwf1gARD5SYeSgamwcWTtS8UdMR/fw80PH7yELrlCoNfriYiMYmnpx47Nc/UhD9KBsHJryK8JhMzNx6G1tG+xVqN2PrbczsUwe+Ve0xfNVVnPwjBf71XLFgzz18/GY1+NdzxYkbyViw5x7WjWgCAGjq7YgV7zcydJee268RCYiOz8KBeUEIv5uKmf8Lx5ZpbQu1m/G/K5g5pAl8azpj+MIzOBmRCH9fT7zewANjeteHXCbFgi3X8P2e2xj3dgMcvBCHPLUWu74KRI5KjeCJR9C5ZWVUdjfNbUKj0WLmvH1Ys2wAPD0c0GvQfxDYpi5q1fDQt6lYwRFzpnbDf384XeRrfLvyGJo3qWaokEuVVqPFum9/x+cLA+Dibo3pww/hlVaVUbmIse/QzzdRs76rfpm9oyXGzPGHs5sN7t9Lw/zxx7F4azdDd+Ffs/f3h2W1avijw1uwaeyLytOm4U7ft4ts6xjUHtrs7ELLFRUqwP71Vsh7EFfW4ZY6+zb+sKxaDbc6vQXrxr6oPGUa7vYruv8ORfQ/ac1qJCxbAgBw7T8AHh+NwIOZ08s67H9No9Fi+dzjmLO8G9w87fDJwC1o6V8D1Wo82b8HdKiL4F66cfzMiXtY+c1JzF7aFQBQsbIjwjaaxzFOcWxatoFFlWqI6dsZlg0aw33cZMQNK/yDNH7KOH3ywfPLRbALeBNZRw7A/YsZSF6+ELlXLsK+czc49RuC1FXLDN2NF2bZ9HXIK1VFwvAeUNRtCKePQpE0bkihdilzJ0Dk6PrvMmEurFu1Q87JXwAAMjdPWL7SAurEhwaNvaytPbMXy47/jHWDzeM3jLliTQrDKvGXWWxs4ZkFRS0zBlm9ltBcOQoAEPdvAta2gJ1zwUb5Kl2CAgA0aoiHdyFxcNM9VuXom0kUVoAQhgi7VMh9WyHv7CEAgCbqBmBtC4mDS8FG+SpdggIANGpoYm5D4uyueywEJNa6M+8Sa1to0x8ZKvR/7d4fKfCobA/3SnaQK2R4NbAqLp8qfLC5Y/VVdHzHBwoLmX6ZpZVcn5DIz9NAIjFY2KXq6O00dGnoColEAt/KdshUaZCUlV+onW9lO7jbKYp8jSUnH2BoywqwlJvHm3A0Mhldm1aARCJBk2oOyMhRIzFDVaBNYoYKWblqNKnmAIlEgq5NK+BIZDIAQAIgK1cDAMjK0cDDwdLQXXhhRy/Fo2urqrq+13JBRnY+EtNyC7RJTMvV9b2Wi67vrariyCXdgVirRh6Qy3TbvW9NZySk6sY+CSTIUamh1miRm6+FQiaFrXXR24spiLgWh2peLqhS2QUWCjk6v9kQR34teCbNq5IzfGpXgFRaeLuOvPEAySlZaNWypqFCLlX3bqTAs7IdPP4a+1oEVsWl3+4XardtdQQ696tXYOyrVscFzm66Mb+ytyPyVRrk52kMFntpcQxsh9SdOwEA2RHhkNk7QO7mXqid1MYG7oMGI2FlWKF1lb6YgAcL5wPms8vXsw9oh9Rduv7nPKv/1jZwGzgYiX/rv1apfKqNtdkc99y8loBKVZxQ0csRCoUMb7xZB2dO3CvQxtbOQv/v3By12e7fi2PTJgCZB3YBAFTXIiC1s4fM1a1QO/3sCJkcEoUC4q/PWFGlGnKv6GaSZl84A7u2QYYJvJRYt2yL7KN7AQD5NyMhsbWH1Nm1ULvHCQrIZIBcUeB77vj+GKSvWWo22/3zOnnnClKUGcYOg6hUlZikGDVqVKFlo0ePLpNg/imJgytEepL+sUh/BIlD4QFLz8oW0rotoL0Xrl8ke7UzLMesgvytIcjfu7Iswy1VEic3iJQnUzRF2iNInAvvrPSsbaFo/BrUf1wCAKh2r4WiRXvYff0jbEZ+jdzNS8s65FKTlpQDF3dr/WNndxukJeUUaBN9KwUpSTnwfa1Soeffu56MKYP3Y9qQgxjwWTOzm0UBAIlZ+ajg8OSAzNPeAgmZec/9/Ovx2YjPzEPbmo4lNzYRCekqVHB6klio4GiJxPSCfU5Mz4PnU208nSyQkK5LZEzoVhML9txDwMyzmLf7LsZ08ta3uxKdgW4LLmLYfyJwO970pr8mpOagguuTbb6CixUSUwtu84mpOfB0ftLG08VKn4x42raT0WjTyBMA8GbzSrC2lMN/9AG0G3MQ73WsDaenDvRNTUJSBip4Ougfe3o4ICHp+Q7MtFot5i4+iC9GvVlW4ZW51EfZcPF4clmXi7sNUh8V/Iz/vJWClMRsNHmtcrGvc/FELKrVcS6QxDAXCg9P5Mc/OQuanxAPhadnoXYVPhmFxLVroM0pmMxzCAxEfmICcm8WniZuDhSez9d/z09G4dH/1kCbm1t43ahPUffwMTh1DtbPqjB1yYlKuHva6R+7edjhUWJWoXa7fozA4K7/w6qlpzBi3JPZZvEPMjCi3yaMG7YVVy+b3wwaAJC7eUCdGK9/rE5MgNzNo8i2FReuQPU9J6DNzobyuG4WQX7UXdi0CQQA2AW8BbmneV3uJXN1h+ZRgv6xJjkRMtei++86Ywkq/nAIIkeJnNNHAABWLfyhSU6C+s/bRT6HiExLsb/O7t69i4MHDyIzMxOHDh3S/7dt2zaoVKrinma6pFJY9P4c6rO7IFKfDPKa83uh+uZ9qA+tgfyNoqdMmj2pFDbvT0HesW0Qj3QHN4pX2yH/9AFkhfZB9rJQWA+ZgJfltINWK7Bl+RW8/VGTItfXqO+KWWs7YvLK9ti34QbyVeZ3NvHf0AqBeUdj8Xmg+dXi+Dc2n36I0K41cWxqS4R2rYnJP+p+pNT3ssORyS2xY1wz9G9dGSPXXDNypGVnxa6bkEmlCHld99lfvZcKmVSCE992wC8L38SaA3cQm2h6SZrSsPHnC/B/vTYqeJpPYu6f0moFNi2/jL4jCtefeex+VDq2rAzH4LHNDRiZYVn5+MCiSlVkHDlcYLnEygoew4Yjfql5/DB/UVZ1i+7/YwlLvsXNoACk7d0D137vGji6stWlT2Os3TkIQz95HRtXXwAAuLjZ4oc9g/HdxncwfEwbfD35EJRZz5/UN0cPx36I6K4BkCgUsPZrAQBInDMVjt3fhtfqLZDa2EDkF559+bJInjYKDwd2hERhAcvGzSCxtIR97yHI2LDC2KER0XMqtiZFVFQUjh8/jszMTBw7dky/3NbWFrNmzTJIcEWRvdoZ8mYdAADauFuQOD6Z5ihxdIPISC7yeYoun0AkP4DmzM4i12uu/gpFyMfIxzelH3QpUbzRDRatdYXeNH/+AYmLB/BXnVCJkxtEatGXbFi9Ow6axDjkHdn65LVadUL2ks91r3XvOiQKC0jsHCEyTb+AmJO7NVKemjmRmpQNp6dmVuRm5yMuKh3zPtVdCpSekoslk05i1FdtUN3nySUxlao5wNJajrio9ALLTdXGS4n4OVz3GTesYIv4jCcHWQmZefC0f74z4Mo8LW4/ysHgjbcAAI+U+Ri57S6W9ahpcsUzN/wWh5/P6RJrDavYIz7tSYI0Pl0FD8eCffZwtEDCU20S0vLg6aibWbHjYjwmdtNN8+/g644pP+r6b2f1ZBhsW88VM7feRmpWPpyLuUzGUDYcvoefT/wJAGjo7Yz45CfbfHxKLjyemjUBAB7O1gVmTiSk5BaYWbH9ZDSOX4nHmi9aQfJXQnLP2fto3cgDCrkUrg6W8KvtgsioNFTxMK3t4DFPdwfEJzyZOZGQmAFPd4dnPOOJy1fv4/cr0di09QKU2XnIV2tgY22BcSPbl1W4pc7ZzQYpiU9qDKQkZcPZreDYdz8qDV/rx74cfDvxJD6d3QbePq5ISczGksknMWxiS3hWLlx01lS5vtMPrr17AwCyr16FokJF/TqFZwXkJyQUaG/r2wQ2DRui3i9HAJkMclcX1Fy7DnFffQmLyl6ou33nX8/1RJ2t23D77T5QPzLdSx5d+vaDSy9d/3MiS+6/TZMmsG7QEHUPHoFEJoPM1QXea9YhasjAAu3S9uxG9bCVSFxu+jMpXT1skZTwZObEo8QsuHnYFdv+jTfrYOmc4wAACwsZLCx035Pa9TxQqbIj4mJSUad+4RkopsahR184hPQEAKhuRELu8WT2g9zDE+pHxRc9FXl5UP52DLZtApBz8QzyY6Lw8LPhAHSXfti85l+2wZcC2069YfOWrnZO/u3rkLk9+cxkrh7QJD+j6Gt+HnLOnoBVi7bQpCZD5lkJHks26p7r5gH3b39A0meDoU0r+ncD0d+xJoVhFZukCAoKQlBQEC5fvoxXXin+rIyhac7vhea87po0aZ3mkLcIhubqCUi86gK5SiArtdBz5O0GQGJli7ydBc+eSFwqQaQ80L+WSH5Q9h34F/KP70D+8R0AAHnDlrAI6Ab1haOQedcDcpQQGSmFnmPZ9T1IrG2Ru35+geUiJQFyHz/knzkIaYWqgMLCLBIUAOBd1wUJ9zOR9DALzm7WOH80BsMmv6Zfb2NngcW7uusfzxt9FH0+aoLqPi5IepgFF3cbyORSPIpX4mFMBlwrmOYPsr/r5+eBfn66qY0n7qZj4++J6FTPGREPlLCzlBVbe+Lv7C1lODXqySyTwRtvYlyAl8klKACgf+vK6N9aN239+PVkbDwVh06vuCM8JhP2VvJCdSU8HCxhZyXHlegM+Fa1x87f4/XP93CwxIW76Xi1lhPO3k5Dtb8SW0kZeXCzV0AikSAiJgNCAE62xq8p3D+oBvoH1QAAHL8Sj42H76FTy8oIv5sKe2s5PJysCrT3cLLS9f1OCnxrOmPnqRj0b697/smIBKzedwfrJrSGteWTvlV0tca564/QtVVVZKvUCL+bioFvmm69hkb1K+HP2GTExqXC08Meew9FYuGsns/13KfbbdtzGZE3HphVggIAvH0Kjn3njsbgwymv69fb2Flg+a4n/Zwz+gj6ftQE3j6uUGbmYVHoCfQZ7os6jQrXMDBlyZs2InmT7seFvX9buPXvj7R9e2HT2BfazEyoHyUVbL9lM5K3bAYAKCpVhndYGO4O1v1Av96mlb5dvV+O4FbvniZ/d4+UzRuRsvlJ/13f6Y/0/Xth3dgXmqzC/U/ZshkpT/W/+vIwfYLComo15MVEAwAcAttBFRVlwJ68uLr1PREXm4b4uHS4etjh+KFbCP3yrQJt4mLSULmq7q5H53/7U//vtNQc2DtYQiaT4uH9dMTFpqFCZfOYUZWxbTMytuk+S5vX2sCxZz9kHd4PywaNoc3Kgia5YHJNYm0NqY2tbrlMBtvX/JETrrvMV+bkAk1aCiCRwHnQMGTs/NHg/fmnlPt+gnLfTwAAy2atYBfcBzm/HoKibkOI7CxoUwsmGCRW1pBY2+iWS2Wwat4aedcuQx19F/EDnmwvnqt2IumzgS/N3T2IXkYlHok7OTlh0KBBSE5Oxp49e/DHH3/g6NGjGDGi8J0kDE176wJEnWawHLNKfwvSxyxHLIXqu08AB1co3ugLbVIsLD/SJSnU53ZD8/shyFsGQ1qzCaDRQORkIW/bImN15R9TR56FvFEL2H35A0SeCjn/m6tfZzv5P1B++QEkTm6w7DQAmofRsJ30PQAg79h25J/ah9yfw2D17jhYtOsNQCBn7dxi/pLpkcml6D/aD9+MPwGtVqB1xxqo7O2IHf+9iup1XdCkVfHXYt+++gj7N96ATCaFRAq8+2lT2DuZTwHFx/xrOODXu+no+H0krORSfNmpun5djzXXsW2I7raEC47dx77rKcjN1yJweQR6+rrh49aF63SYg7b1XPDrjRS8Nec8rBS6W5A+1n3hRWwfq7sd3dSetTFh8x9Q5WvRxscF/n/NkpnZuw5m77wDjUbAUiHFzF66W20eikjCptMPIJdKYKmQYuG79fQzDUxFW19P/BqRgLfG/wIrSzlmv/8kcdx9ylFsn6W7znjqIF9M+I/uFqRtGnvCv7HurNOX6yOQp9Zi6PxTAADfmi6YPrgJ+rWrgUmrLiF4gu6a3e5tqqJuVdM9eJfLZZg6vhPeH7UeGq1Az5BXULumBxavPIqG9Sqhnb8PIq7HYeTnm5GRkYtjJ29h6ffHsXfLx8YOvVTI5FIM+LQZ5o87Dq1WwL9TDXh5O2Lb6ghU93GBX6viL+E6vP0WEuIysfN/kdj5P93dfsYvCICDs1WxzzFFmb+egIO/P3wOHII2Nxexkybq19XZth23enR/xrPNX+avJ2Dfxh919h+CyMnF/SlP+l/r5+240+vZ/a8wZiwsq1eHEAL5Dx4gbua0sg65VMjkUnw8vi0mfrILWo0Wb3apj+o1XfG/FWdRp54HXmtbA7t+jMCl87GQy6Wws7fEuOm6wpBXL8Vh3cpzkMulkEokGDUhAA6O5rXdA0D2mZOwec0fVbfsgzY3F0mzJ+vXea35CfeH9IbUygYVvl6qmx0rlSDn0gV9MsKufUc49OgLAFCeOILMvTuM0o8Xpbp4ClbNWsHz++1/3YJ0pn6d++INSBrdHxIra7hOWQSJXAFIpVBFXIRy/zYjRm0YG9+biTfq+MHNzgmxs3dh2p7/4L+ndxs7LKJ/RSLEs0vcvvvuu/j8888xdepU7NihG9CCg4OxZ8+e5/oDOVPM7z70pSU/sfCtz8qTiOltjB2CUbXcf8fYIRiV9BlTccsFN+eS27ykpPWKrgdTXpzNMc+ijKXFOnCzsUMwKqn51WIuNfZnRho7BKPSdDSfAuxlwcrMkp6lzcvL/IoRlyYRdtbYIZSpfU51S25khjqlmeYxS4kzKXJyctC4ceMCy2Sy8v0lJCIiIiIiovKBNSkMq8R8v7OzM2JiYvTTnw8cOAB3d/O6npWIiIiIiIiITF+JMymmTZuGKVOm4N69e2jTpg28vLwwf/78kp5GRERERERERPSPlJikqFKlCtauXYvs7GxotVrY2ZXz68yJiIiIiIiIqEyUmKRYs2ZNoWV2dnZo2LAh6tWrVyZBEREREREREVH5U2KSIjIyEpGRkQgICAAAHDt2DHXr1sXmzZvRoUMHfPDBB2UeJBEREREREZExsHCmYZWYpIiPj8e2bdtga2sLAPjkk08wfPhwbNiwAT169GCSgoiIiIiIiIhKRYl390hOToaFhYX+sUKhwKNHj2BlZVVgORERERERERHRv1HiTIqQkBD06dMH7dq1AwAcPXoUwcHByM7ORs2aNcs8QCIiIiIiIiIqH56ZpBBCoEePHvD398elS5cAADNmzECjRo0AAAsXLiz7CImIiIiIiIiMhDUpDOuZSQqJRIJhw4Zh9+7d+sQEEREREREREVFZKLEmRf369REREWGIWIiIiIiIiIioHCuxJkV4eDh2796NSpUqwdraWr989+7dZRoYEREREREREZUvJSYpVq9ebYg4iIiIiIiIiEyOVhg7gvKlxCRF5cqVAehuRapSqco8ICIiIiIiIiIqn0pMUhw5cgRz585FYmIiXFxc8ODBA9SsWRN79+41RHxEREREREREVE6UWDhz8eLF2EfBqdUAABUwSURBVLJlC6pXr46jR49i7dq18PX1NURsRERERERERFSOlJikkMvlcHZ2hlarhVarRcuWLREZGWmI2IiIiIiIiIiMSqt9Of8zVSVe7uHg4AClUonmzZtj3LhxcHFxgY2NjSFiIyIiIiIiIqJypMQkhY+PD6ytrTFhwgTs3r0bmZmZyM7ONkRsRERERERERFSOlJikOHfuHKRSKaRSKbp37w4ACAkJKfPAiIiIiIiIiKh8KTZJsXHjRmzatAkxMTEFkhJKpRJ+fn4GCY6IiIiIiIiIyo9ikxQhISHw9/fHokWLMHbsWP1yW1tbODk5GSQ4IiIiIiIiImMy5SKTL6NikxT29vawt7fHokWLDBkPEREREREREZVTJd6ClIiIiIiIiIjIEJikICIiIiIiIiKTUOLdPYiIiIiIiIjKK9akMCzOpCAiIiIiIiIik8AkBRERERERERGZBCYpiIiIiIiIiMgksCYFERERERERUTFYk8KwOJOCiIiIiIiIiEwCkxREREREREREZBKYpCAiIiIiIiIikyARQghjB0FERERERERExJkURERERERERGQSmKQgIiIiIiIiIpPAJAURERERERERmQQmKYiIiIiIiIjIJDBJQUREREREREQmgUkKIiIiIiIiIjIJTFIQmYiMjAxs2LChVF5rxYoV+n/fv38fwcHBpfK6pio0NBQHDhx47vYv03uybt06dOzYEWPHjsXq1auNHY5RrV27Fjk5OcYO44U9PQacO3cOw4cP/0fP/6ffg8de5G+RYbzyyitFLn/Rz/pZtm3bhpkzZ5bqa5aFAQMG4OrVq8YOgwzMWOOjoZXmseCzHD58GHfu3Cnzv0P0opikIDIRGRkZ2LRpU6HlarX6H7/WypUrSyMkMgMbN27EmjVrUL16dWOHUuqEENBqtc/dft26dWafpChqDCAiKu/Ky/j4T/v5T/eTjzFJQaZObuwA/q0RI0YgPj4eKpUKAwcOxNtvv42ffvoJq1atgr29PXx8fGBhYYGpU6ciJSUF06ZNw4MHDwAAEydORNOmTY3cg38nOzsbn376KeLj46HVajFixAhUrVoVX3/9NbKzs+Hs7Iw5c+bA2toavXr1QlhYGGrUqIHPPvsMLVu2RJ8+fYzdhVKzY8cOrF69GhKJBHXr1oVMJoOFhQUiIyOhVCoRGhqKgIAAY4dZrIULFyImJgZdu3aFXC6HpaUlHBwcEBUVhX379mHBggU4f/488vLy0L9/f/Tt2xeJiYkYM2YMsrKyoNFoMH36dBw/fhy5ubno2rUratWqhTFjxkCtVmPs2LG4fv06ateujblz58La2hqBgYHo0KEDTp48CUtLSyxcuBDVqlXD/v37sXz5ckilUtjb2xskq/9PFPVZX7x4EWvXrkVSUhLGjx+PDh06QAiBefPm4eTJk5BIJPjoo4/QqVMnY4dfaqZOnYr79+/jgw8+wIMHDxAYGIi3334bqampeP/999GnT58it5FmzZoZO/Ri3b9/H0OHDoWvry+uXbuGjh074tixY8jLy0P79u0xatSoIse9R48eITExEYMGDYKTkxPWr1+P3377DUuXLkVeXh6qVKmCOXPmwNbWFhEREZg9ezays7NhYWGBtWvXQiaTITQ0FLdv34a3tzcSExMxdepUNGrUyGB9//sYYGNjg1GjRuHWrVto0KABFixYAIlEgmXLluHYsWNQqVR45ZVXMHPmTEgkkgKvVVyb6OhoTJs2DSkpKZDJZFi8eDEA3b6kqL9lTDt37sT69euRn58PX19f9OzZE5MnT8bPP/8MjUaD3r1745tvvkHlypUxYsQIZGRkQK1WY/To0QgKCtJ/N5o2bYrLly/D09MT3333HaysrBAREYFJkyZBKpXi9ddfx8mTJ7Fnzx6j9nfNmjXYunUrAKBXr14YPHiwfp0QArNmzcKpU6dQsWJFKBQK/brixvHijnkiIiLw1VdfQaVSwcrKCrNnz0aNGjUKxHL8+HGEhYUhLCwMLi4uZd/5YhT1XX/anj17sHLlSggh0LZtW4wfPx6AbgZK7969cerUKbi5ueGbb76Bi4sLYmJiMGPGDKSmpsLKygqzZs1CzZo1jdG1UvH3fWHHjh0RFhaG/Px8ODk5YcGCBXBzczN2mKWiNMdHU/Z0P1u0aIGbN28WObY9vZ/8/vvvsWPHDuzatQsuLi6oWLEiGjRogKFDhxa5zaenp+Po0aM4f/48wsLCsHTpUlStWtXYXScqSJi51NRUIYQQOTk5onPnziI+Pl4EBASI1NRUkZeXJ9555x0xY8YMIYQQn332mbhw4YIQQoi4uDjRoUMHo8VdWg4cOCAmTZqkf5yRkSHefvttkZycLIQQYu/evSI0NFQIIcRvv/0m+vTpI/bs2SPee+89o8RbVm7duiXefPNNfb9TU1PFF198Id577z2h0WhEVFSUaNOmjcjNzTVypMWLjY0VnTt3FkIIcfbsWeHr6ytiYmKEEEJs3rxZLF++XAghhEqlEt27dxcxMTFi9erV4rvvvhNCCKFWq0VmZqYQQogmTZoUeN06deqIixcvCiGECA0NFatWrRJCCBEQEKB//vbt28WwYcOEEEIEBweL+Ph4IYQQ6enpZdrvf6q4z/qTTz4RGo1G3L59WwQFBQkhdN+PwYMHC7VaLZKSkkTbtm1FQkJCgffa3AUEBIjk5GSxZMkSERISInJyckRycrLw9/cX8fHxxW4jpio2NlbUrVtXXL58WZw8eVJMnjxZaLVaodFoxLBhw8T58+eLHPeEePJeCCFEcnKy6Nevn1AqlUIIIVauXCmWLl0qVCqVCAwMFOHh4UIIITIzM0V+fr5YtWqVmDJlihBCiJs3b4p69eqJiIgIQ3a90Bjg5+cnHj58KDQajejTp49+//V4vyeEEOPGjRNHjhwRQgjxxRdfiP379z+zTa9evcShQ4eEEELk5uaK7OzsZ/4tY7lz544YPny4yMvLE0IIMW3aNLF9+3axaNEi8fXXX4vp06eLFStWCCGEyM/P12/XycnJIigoSGi1WhEbGyvq1asnrl+/LoQQYtSoUWLHjh1CCCE6d+4sLl26JIQQYv78+UYfD65evSqCg4OFUqkUWVlZolOnTuLatWv6sfzgwYP6sSw+Pl40bdpU/1kXN44Xd8zzeJsXQohTp06JkSNHCiGE2Lp1q5gxY4Y4dOiQeOedd0RaWprh3oBiFPVdf/fdd0VERISIj48Xbdu2FcnJySI/P18MGDBA/PLLL0IIIerUqSN27twphBBi6dKl+uPAgQMHiqioKCGEEFeuXBEDBgwwbIdKUVH7wrS0NKHVaoUQQvz4449izpw5xgyxVJXm+GjKnu7ns8a2x/tJIYQIDw8XXbp0Ebm5uSIzM1O0b99ef5xX3DZvLu8HlV9mP5Ni/fr1+OWXXwAADx8+xM6dO9G8eXM4OTkBADp06IA///wTAHD69OkCU5uysrKgVCpha2tr8LhLS506dTB37lzMnz8fAQEBcHBwwK1btzBkyBAAgFarhbu7OwCgVatWOHDgAGbOnImdO3caM+xSd/bsWXTo0EF/xufx59+xY0dIpVJUr14dVapUwb1791CvXj1jhvrcGjVqhCpVqgAATp06hZs3b+LgwYMAgMzMTERHR6NRo0aYOHEi1Go1goKCiu1bxYoV9bOGunTpgvXr12Po0KEAoK/N0LlzZ8yZMweA7ixUaGgoOnbsiPbt25dpP/+p4j7roKAgSKVS1KpVC48ePQIA/P777+jcuTNkMhnc3NzQvHlzXL16FXXr1jVa/GWpXbt2sLKygpWVFVq0aIGrV68+9zZiSipVqoQmTZpg7ty5OHXqFLp16wZAd1b1zz//RLNmzQqMe0XNDAkPD8edO3fwzjvvAADy8/PRpEkTREVFwd3dHY0bNwYA2NnZAdBtKwMHDgSgG1dNYRtp3LgxKlSoAADw8fFBXFwcmjVrhnPnzmHVqlXIzc1FWloaateujcDAwALPLarNq6++ioSEBP132tLSssS/ZSxnzpxBZGQkevXqBQDIzc2Fq6srPv74Y/Tq1QuWlpaYPHkyAN0sg0WLFuHChQuQSqVISEjQjwFeXl76bb5BgwaIi4tDRkYGlEqlvt5DcHAwjh8/bvhOPuX3339HUFAQbGxsAADt27fHxYsX9esvXLigH8s8PT3RsmXLAs8vahwv7pgnMzMTX3zxBaKjoyGRSJCfn69vc/bsWURGRuK///2v/rthTH8/xnl6m7x69SpeffVV/b4gJCQEFy5c0O8LHs+a69q1K0aOHAmlUonLly9j9OjR+tfIy8szbIdKUVH7wps3b2LMmDFISkpCXl4evLy8jBxl2fk346O5eNbY9ng/CQCXLl1Cu3btYGlpCUtLS/2s4Zdtm6fyxayTFOfOncPp06exZcsWWFtbY8CAAahRowbu3r1bZHutVosff/yxwIGZufP29sa2bdtw4sQJfPvtt2jZsiVq166NLVu2FGqr1Wpx9+5dWFlZIT09XT+4v8z+PsXPnKb8PT5YBXQ7qsmTJ6NNmzaF2v3www84ceIEQkNDMWTIEP0Puqf90/dh5syZCA8Px/Hjx9GzZ09s3boVzs7OL9gTw7CwsDB2CEZX1OfavHnz59pGTMnjbV8IgWHDhqFv376F2vx93Bs5cmSB9UIItGrVCosWLSqw/ObNm2UXeCl7epuWyWTQaDRQqVSYMWMGtm7diooVK2Lp0qVQqVQFnvc8bZ7nbxmTEALdu3fH2LFjCyxPTExEdnY21Go1VCoVbGxssHv3bqSkpGDbtm1QKBQIDAzU9/fv/SrpfXiZFHfMM2vWLLRo0QLLly/H/fv39ck5AKhatSpiY2MRFRVl0EudilPUMc6LkEgkEELAwcHhpTtJ87Qvv/wSgwcPRrt27XDu3DksW7bM2CGVmRcdH83Js8a2p48Ri1Metnl6eZl14czMzEw4OjrC2toad+/exZUrV5CdnY0LFy4gPT0darUahw4d0rdv3bo11q9fr39848YNY4RdqhISEmBtbY2uXbti6NChCA8PR0pKCi5fvgxAd/bw9u3bAHSV72vWrImFCxdiwoQJBc6emLuWLVviwIEDSE1NBQCkpaUBAA4cOACtVouYmBjExsbC29vbmGE+k62tLZRKZZHrWrdujU2bNuk/s6ioKGRnZyMuLg5ubm7o06cPevfujWvXrgEA5HJ5gc/3wYMH+m1iz549BWqx7N+/HwCwb98+/ZnFmJgY+Pr6YvTo0XB2dkZ8fHzpd/gFFfdZF6VZs2bYv38/NBoNUlJScPHiRf0Z9JfRkSNHoFKpkJqaivPnz6NRo0bFbiPmoHXr1ti6dav+e5GQkIDk5ORC497169cBFPwONWnSBJcuXUJ0dDQA3SyMqKgoeHt7IykpCREREQB0Z5fVajX8/Pz034U7d+7g1q1bhu7uM8eAxx4foDo7O0OpVOpnVz1PGzs7O1SoUAGHDx8GoDujZqqFRl977TUcPHgQycnJAHTf87i4OEydOhWjR49GSEgIFixYAEB3LODq6gqFQoGzZ88iLi7uma/t4OAAW1tbhIeHA9CNfcbWrFkzHD58GDk5OcjOzsbhw4cLzBpo3ry5fixLTEzEuXPnCjy/qHG8uGOezMxMeHp6AgC2b99e4HUqVaqEJUuW4IsvvtAfOxhTcd91QHcm/cKFC0hJSYFGo8HevXvRvHlzALoEzePtfvfu3WjatCns7Ozg5eWlf6+EEPjjjz8M36lSUtS+8OnPdseOHcYMr9SV1vho6p7u5/OObX5+fvo6HEqlUj8z7Fnb/PO8n0TGZNYzKfz9/bF582Z07NgR3t7eaNKkCTw9PTF8+HD07t0bjo6OqFGjBuzt7QEAkyZNwsyZMxESEgKNRoNmzZqZxe22nuXWrVuYN28epFIp5HI5pk+fDrlcji+//BKZmZnQaDQYNGgQZDIZfvrpJ/z000+ws7ND8+bNERYWhlGjRhm7C6Widu3a+PDDDzFgwABIpVLUr18fgO4yh169ekGpVGLGjBkmPYvG2dkZfn5+CA4OhqWlZYFiV71790ZcXBx69OgBIQScnZ3x3Xff4fz581i9erW+iNTcuXMBAH369EGXLl1Qv359jBkzBt7e3tiwYQMmTpyIWrVq6afAA0B6ejpCQkJgYWGhP+s8b948REdHQwiBli1bwsfHx7BvxjMU91kXpX379rh8+TK6du0KiUSC8ePHw93dHffv3zdgxIZTt25dDBw4EKmpqRgxYgQ8PT2xffv2IrcRc9C6dWvcvXtXP5PCxsYG8+fPR3R0dKFxD9Bt9++//z48PDywfv16zJkzB5999pl+euunn34Kb29vfPPNN/jyyy+Rm5sLKysrrFmzBv369UNoaCg6deqEGjVqoFatWvp9h6E8awx4zMHBAb1790ZwcDDc3NyKPNv9rDbz5s3D1KlTsXjxYigUCn3hTFNTq1YtfPrpp3jvvfeg1Wr1ZxEVCoV+H963b1+cOXMGISEh+OijjxASEoKGDRsWKgJZlK+++gqTJ0+GVCpF8+bNjX5pQ4MGDdCjRw/07t0bgK5w5tNjW/v27XH27Fl06tSpwDTvx4oax4s75nn//fcRGhqKsLAwtG3btlAsNWvWxIIFCzB69GisWLHCqAX1ijrGmTdvHgDAw8MDY8eOxaBBg/SFM4OCggDoxoqIiAh94c9vv/0WADB//nxMnz4dYWFhUKvV6NSpk0nt3/6JovaFI0eOxOjRo+Ho6IgWLVq8VPu60hofTd3T/WzUqBHu3btX4tjWuHFjBAYGokuXLnB1dUWdOnX0+6/itvlOnTphypQpWL9+PZYsWcLCmWRyJEIIYewgStvjOhNqtRojR45Ez549Te66eip7oaGheOONN9ChQwdjh2KyAgMD8fPPPxu1ejuRKdBoNFCr1bC0tERMTAwGDx6MAwcO8DKil9TT9ai+//57JCYm6mtcmBuO44W98sor+tmDROXB4zEtJycH/fv3x6xZs9CgQQNjh0X0wsx6JkVxli1bhtOnT0OlUqF169b6zDoREVFRcnJyMHDgQKjVagghMG3aNCYoXmInTpzAypUrodFoUKlSJXz99dfGDomI6IVNnToVd+7cgUqlQvfu3ZmgILP3Us6kICIiIiIiIiLzY9aFM4mIiIiIiIjo5cEkBRERERERERGZBCYpiIiIiIiIiMgkMElBRERERERERCaBSQoiIiIiIiIiMglMUhARERERERGRSfg/dQDpi2e6P2MAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1440x1440 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hhy6zT3-Kt5L"
      },
      "source": [
        "dataset = pd.get_dummies(data, columns = ['sex', 'cp', 'fbs', 'restecg', 'exang', 'slope', 'ca', 'thal'])"
      ],
      "execution_count": 113,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3-q6ULEeSjwN"
      },
      "source": [
        "# Standardization "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_tR6oQ9oLJSt"
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "standardScaler = StandardScaler()\n",
        "columns_to_scale = ['age', 'trestbps', 'chol', 'thalach', 'oldpeak']\n",
        "data[columns_to_scale] = standardScaler.fit_transform(data[columns_to_scale])"
      ],
      "execution_count": 114,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 203
        },
        "id": "V5JC5jciLP5T",
        "outputId": "ca588445-8c63-4a6d-a497-2119d2d0d35a"
      },
      "source": [
        "data.head()"
      ],
      "execution_count": 115,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>age</th>\n",
              "      <th>sex</th>\n",
              "      <th>cp</th>\n",
              "      <th>trestbps</th>\n",
              "      <th>chol</th>\n",
              "      <th>fbs</th>\n",
              "      <th>restecg</th>\n",
              "      <th>thalach</th>\n",
              "      <th>exang</th>\n",
              "      <th>oldpeak</th>\n",
              "      <th>slope</th>\n",
              "      <th>ca</th>\n",
              "      <th>thal</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.952197</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0.763956</td>\n",
              "      <td>-0.256334</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0.015443</td>\n",
              "      <td>0</td>\n",
              "      <td>1.087338</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>-1.915313</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>-0.092738</td>\n",
              "      <td>0.072199</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1.633471</td>\n",
              "      <td>0</td>\n",
              "      <td>2.122573</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>-1.474158</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>-0.092738</td>\n",
              "      <td>-0.816773</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.977514</td>\n",
              "      <td>0</td>\n",
              "      <td>0.310912</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.180175</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>-0.663867</td>\n",
              "      <td>-0.198357</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1.239897</td>\n",
              "      <td>0</td>\n",
              "      <td>-0.206705</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.290464</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0.663867</td>\n",
              "      <td>2.082050</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.583939</td>\n",
              "      <td>1</td>\n",
              "      <td>-0.379244</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        age  sex  cp  trestbps      chol  ...   oldpeak  slope  ca  thal  target\n",
              "0  0.952197    1   3  0.763956 -0.256334  ...  1.087338      0   0     1       1\n",
              "1 -1.915313    1   2 -0.092738  0.072199  ...  2.122573      0   0     2       1\n",
              "2 -1.474158    0   1 -0.092738 -0.816773  ...  0.310912      2   0     2       1\n",
              "3  0.180175    1   1 -0.663867 -0.198357  ... -0.206705      2   0     2       1\n",
              "4  0.290464    0   0 -0.663867  2.082050  ... -0.379244      2   0     2       1\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 115
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uWQUEDOILedp"
      },
      "source": [
        "x = dataset.drop(['target'], axis = 1)\n",
        "y = dataset['target']\n"
      ],
      "execution_count": 116,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z4E_YR3zS6lA"
      },
      "source": [
        "Cross - Validation is used to check the accuracy of the model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6XMnAovCiO0v"
      },
      "source": [
        "#KNearest Classifier<br>\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TEhxDdDsjDbn"
      },
      "source": [
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.model_selection import cross_val_score"
      ],
      "execution_count": 117,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PXGw0qsGiDrl"
      },
      "source": [
        "knn_scores =[]\n",
        "for k in range(1,21):\n",
        "  knn_classifier = KNeighborsClassifier(n_neighbors=k)\n",
        "  score = cross_val_score(knn_classifier,x,y,cv=10)\n",
        "  knn_scores.append(score.mean())"
      ],
      "execution_count": 118,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PK3G8CREiLBo",
        "outputId": "0b06057f-4322-4b46-f0ee-18bb7c7ca835"
      },
      "source": [
        "score.mean()"
      ],
      "execution_count": 119,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.6503225806451614"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 119
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 510
        },
        "id": "4f5u7QWilOL1",
        "outputId": "8fa43e72-52bc-4f10-e723-b81d0cb1fee5"
      },
      "source": [
        "plt.figure(figsize=(30,10))\n",
        "plt.plot([k for k in range(1, 21)], knn_scores, color = 'blue')\n",
        "for i in range(1,21):\n",
        "    plt.text(i, knn_scores[i-1], (i, knn_scores[i-1]))\n",
        "plt.xticks([i for i in range(1, 21)])\n",
        "plt.xlabel('Number of Neighbors (K)')\n",
        "plt.ylabel('Scores')\n",
        "plt.title('K Neighbors Classifier scores for different K values')"
      ],
      "execution_count": 120,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'K Neighbors Classifier scores for different K values')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 120
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 2160x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7Y8aEyQRnS_N",
        "outputId": "8d9a73e9-c092-4696-e534-6a96bff983af"
      },
      "source": [
        "knn_classifier = KNeighborsClassifier(n_neighbors=12)\n",
        "score = cross_val_score(knn_classifier,x,y,cv=10)\n",
        "score.mean()"
      ],
      "execution_count": 121,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.6703225806451613"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 121
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2Fg48CtrnfZx"
      },
      "source": [
        "#Random Forest"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MBDzY-oLnhXB"
      },
      "source": [
        "from sklearn.ensemble import RandomForestClassifier"
      ],
      "execution_count": 122,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BgrHW7-gnlJn"
      },
      "source": [
        "randomforest_classifier= RandomForestClassifier(n_estimators=10)\n",
        "score=cross_val_score(randomforest_classifier,x,y,cv=10)"
      ],
      "execution_count": 123,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yJ6_pjWsnpUs",
        "outputId": "84f92745-cd2c-46c3-a08e-0b217587e471"
      },
      "source": [
        "score.mean()"
      ],
      "execution_count": 124,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.831505376344086"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 124
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "b30VJr0qntQc"
      },
      "source": [
        "#Decision Tree\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ACDxGAGQpjqs"
      },
      "source": [
        "from sklearn.tree import DecisionTreeClassifier"
      ],
      "execution_count": 125,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FI0PScohpoki"
      },
      "source": [
        "decision_classifier= DecisionTreeClassifier()\n",
        "score=cross_val_score(decision_classifier,x,y,cv=10)"
      ],
      "execution_count": 126,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cQpA3509qJGP",
        "outputId": "d5819a37-0225-47d0-c6e1-2c8923f7b23e"
      },
      "source": [
        "score.mean()"
      ],
      "execution_count": 127,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.7318279569892472"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 127
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5crr7r9MO8Qe"
      },
      "source": [
        "#Logistic Regression"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fu3MKYw7Mzbe"
      },
      "source": [
        "from sklearn.linear_model import LogisticRegression"
      ],
      "execution_count": 128,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zMlqMgrzNQRA"
      },
      "source": [
        "lr = LogisticRegression()\n",
        "score=cross_val_score(lr,x,y)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AkegAvAHNaEZ",
        "outputId": "d1f56d5c-3609-442e-f840-6f4f3fa07922"
      },
      "source": [
        "score.mean()"
      ],
      "execution_count": 132,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.851256830601093"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 132
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "b-LNK0wfPQxJ"
      },
      "source": [
        "In this project I have analysed the data . I have applied diffrent algorithms to find the best fitting model.Hence Logistic regression gives the best accuray that is 85%."
      ]
    }
  ]
}