{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "EFcRuzuZdZLF"
      },
      "outputs": [],
      "source": [
        "#import libraries\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.metrics import confusion_matrix, classification_report, accuracy_score\n",
        "from sklearn.datasets import load_iris"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "iris = load_iris()\n",
        "x = iris.data\n",
        "y = iris.target\n",
        "print(x.shape)\n",
        "print(y.shape)\n",
        "print(iris.feature_names)\n",
        "print(iris.target_names)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f8LNAfOGecbt",
        "outputId": "2e058f94-0689-4f4d-e28a-2d06200ce37a"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(150, 4)\n",
            "(150,)\n",
            "['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']\n",
            "['setosa' 'versicolor' 'virginica']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "unique_classes, counts = np.unique(y, return_counts=True)\n",
        "class_names = iris.target_names[unique_classes]\n",
        "\n",
        "plt.figure(figsize=(8, 6))\n",
        "plt.bar(class_names, counts, color=['skyblue', 'lightcoral', 'lightgreen'])\n",
        "plt.xlabel('Iris Species')\n",
        "plt.ylabel('Count')\n",
        "plt.title('Distribution of Iris Species')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "HkjL3kYnfA9T",
        "outputId": "e8a2c956-b776-487e-9e72-5420c5694424"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#train_test_spilt\n",
        "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state=42)"
      ],
      "metadata": {
        "id": "XBziAWregvKf"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#feature scaling\n",
        "sc = StandardScaler()\n",
        "x_train_scaled = sc.fit_transform(x_train)\n",
        "x_test_scaled = sc.transform(x_test)"
      ],
      "metadata": {
        "id": "u8cPsBJrhuUX"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(x_train_scaled.shape)\n",
        "print(x_test_scaled.shape)\n",
        "print(y_train.shape)\n",
        "print(y_test.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5kZvBOtih9x8",
        "outputId": "f219d415-a4a9-4be4-8278-e39116069611"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(120, 4)\n",
            "(30, 4)\n",
            "(120,)\n",
            "(30,)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# model training\n",
        "model = LogisticRegression(max_iter=1000)\n",
        "model.fit(x_train_scaled, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "id": "HOWSPOC4iN4V",
        "outputId": "7aa1b606-6b6a-4783-caa8-17ed51dfe67f"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression(max_iter=1000)"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {\n",
              "  /* Definition of color scheme common for light and dark mode */\n",
              "  --sklearn-color-text: #000;\n",
              "  --sklearn-color-text-muted: #666;\n",
              "  --sklearn-color-line: gray;\n",
              "  /* Definition of color scheme for unfitted estimators */\n",
              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
              "  --sklearn-color-unfitted-level-3: chocolate;\n",
              "  /* Definition of color scheme for fitted estimators */\n",
              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
              "\n",
              "  /* Specific color for light theme */\n",
              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-icon: #696969;\n",
              "\n",
              "  @media (prefers-color-scheme: dark) {\n",
              "    /* Redefinition of color scheme for dark theme */\n",
              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-icon: #878787;\n",
              "  }\n",
              "}\n",
              "\n",
              "#sk-container-id-1 {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 pre {\n",
              "  padding: 0;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-hidden--visually {\n",
              "  border: 0;\n",
              "  clip: rect(1px 1px 1px 1px);\n",
              "  clip: rect(1px, 1px, 1px, 1px);\n",
              "  height: 1px;\n",
              "  margin: -1px;\n",
              "  overflow: hidden;\n",
              "  padding: 0;\n",
              "  position: absolute;\n",
              "  width: 1px;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-dashed-wrapped {\n",
              "  border: 1px dashed var(--sklearn-color-line);\n",
              "  margin: 0 0.4em 0.5em 0.4em;\n",
              "  box-sizing: border-box;\n",
              "  padding-bottom: 0.4em;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-container {\n",
              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
              "     so we also need the `!important` here to be able to override the\n",
              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
              "  display: inline-block !important;\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-text-repr-fallback {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              "div.sk-parallel-item,\n",
              "div.sk-serial,\n",
              "div.sk-item {\n",
              "  /* draw centered vertical line to link estimators */\n",
              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
              "  background-size: 2px 100%;\n",
              "  background-repeat: no-repeat;\n",
              "  background-position: center center;\n",
              "}\n",
              "\n",
              "/* Parallel-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item::after {\n",
              "  content: \"\";\n",
              "  width: 100%;\n",
              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
              "  flex-grow: 1;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel {\n",
              "  display: flex;\n",
              "  align-items: stretch;\n",
              "  justify-content: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
              "  align-self: flex-end;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
              "  align-self: flex-start;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
              "  width: 0;\n",
              "}\n",
              "\n",
              "/* Serial-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-serial {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "  align-items: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  padding-right: 1em;\n",
              "  padding-left: 1em;\n",
              "}\n",
              "\n",
              "\n",
              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
              "clickable and can be expanded/collapsed.\n",
              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
              "*/\n",
              "\n",
              "/* Pipeline and ColumnTransformer style (default) */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable {\n",
              "  /* Default theme specific background. It is overwritten whether we have a\n",
              "  specific estimator or a Pipeline/ColumnTransformer */\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "/* Toggleable label */\n",
              "#sk-container-id-1 label.sk-toggleable__label {\n",
              "  cursor: pointer;\n",
              "  display: flex;\n",
              "  width: 100%;\n",
              "  margin-bottom: 0;\n",
              "  padding: 0.5em;\n",
              "  box-sizing: border-box;\n",
              "  text-align: center;\n",
              "  align-items: start;\n",
              "  justify-content: space-between;\n",
              "  gap: 0.5em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
              "  font-size: 0.6rem;\n",
              "  font-weight: lighter;\n",
              "  color: var(--sklearn-color-text-muted);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
              "  /* Arrow on the left of the label */\n",
              "  content: \"▸\";\n",
              "  float: left;\n",
              "  margin-right: 0.25em;\n",
              "  color: var(--sklearn-color-icon);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "/* Toggleable content - dropdown */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content {\n",
              "  max-height: 0;\n",
              "  max-width: 0;\n",
              "  overflow: hidden;\n",
              "  text-align: left;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content pre {\n",
              "  margin: 0.2em;\n",
              "  border-radius: 0.25em;\n",
              "  color: var(--sklearn-color-text);\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
              "  /* Expand drop-down */\n",
              "  max-height: 200px;\n",
              "  max-width: 100%;\n",
              "  overflow: auto;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
              "  content: \"▾\";\n",
              "}\n",
              "\n",
              "/* Pipeline/ColumnTransformer-specific style */\n",
              "\n",
              "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator-specific style */\n",
              "\n",
              "/* Colorize estimator box */\n",
              "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  /* The background is the default theme color */\n",
              "  color: var(--sklearn-color-text-on-default-background);\n",
              "}\n",
              "\n",
              "/* On hover, darken the color of the background */\n",
              "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "/* Label box, darken color on hover, fitted */\n",
              "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator label */\n",
              "\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  font-family: monospace;\n",
              "  font-weight: bold;\n",
              "  display: inline-block;\n",
              "  line-height: 1.2em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label-container {\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "/* Estimator-specific */\n",
              "#sk-container-id-1 div.sk-estimator {\n",
              "  font-family: monospace;\n",
              "  border: 1px dotted var(--sklearn-color-border-box);\n",
              "  border-radius: 0.25em;\n",
              "  box-sizing: border-box;\n",
              "  margin-bottom: 0.5em;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "/* on hover */\n",
              "#sk-container-id-1 div.sk-estimator:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
              "\n",
              "/* Common style for \"i\" and \"?\" */\n",
              "\n",
              ".sk-estimator-doc-link,\n",
              "a:link.sk-estimator-doc-link,\n",
              "a:visited.sk-estimator-doc-link {\n",
              "  float: right;\n",
              "  font-size: smaller;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1em;\n",
              "  height: 1em;\n",
              "  width: 1em;\n",
              "  text-decoration: none !important;\n",
              "  margin-left: 0.5em;\n",
              "  text-align: center;\n",
              "  /* unfitted */\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted,\n",
              "a:link.sk-estimator-doc-link.fitted,\n",
              "a:visited.sk-estimator-doc-link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "/* Span, style for the box shown on hovering the info icon */\n",
              ".sk-estimator-doc-link span {\n",
              "  display: none;\n",
              "  z-index: 9999;\n",
              "  position: relative;\n",
              "  font-weight: normal;\n",
              "  right: .2ex;\n",
              "  padding: .5ex;\n",
              "  margin: .5ex;\n",
              "  width: min-content;\n",
              "  min-width: 20ex;\n",
              "  max-width: 50ex;\n",
              "  color: var(--sklearn-color-text);\n",
              "  box-shadow: 2pt 2pt 4pt #999;\n",
              "  /* unfitted */\n",
              "  background: var(--sklearn-color-unfitted-level-0);\n",
              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted span {\n",
              "  /* fitted */\n",
              "  background: var(--sklearn-color-fitted-level-0);\n",
              "  border: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link:hover span {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link {\n",
              "  float: right;\n",
              "  font-size: 1rem;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1rem;\n",
              "  height: 1rem;\n",
              "  width: 1rem;\n",
              "  text-decoration: none;\n",
              "  /* unfitted */\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "#sk-container-id-1 a.estimator_doc_link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(max_iter=1000)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LogisticRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(max_iter=1000)</pre></div> </div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# predication\n",
        "y_pred = model.predict(x_test_scaled)\n",
        "print(y_pred)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mJGOf5aTirQl",
        "outputId": "fc061d64-78b0-4e0c-8259-c213ab62d021"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1 0 2 1 1 0 1 2 1 1 2 0 0 0 0 1 2 1 1 2 0 2 0 2 2 2 2 2 0 0]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Accuracy Score\")\n",
        "print(f\"{accuracy_score(y_test, y_pred)*100:.1f}%\")\n",
        "\n",
        "print(\"confusion matrix\")\n",
        "print(confusion_matrix(y_test, y_pred))\n",
        "print(\"classification report\")\n",
        "print(classification_report(y_test, y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zkWNcGLlit7I",
        "outputId": "813298db-0e8b-44bc-a9b3-045a81318125"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy Score\n",
            "100.0%\n",
            "confusion matrix\n",
            "[[10  0  0]\n",
            " [ 0  9  0]\n",
            " [ 0  0 11]]\n",
            "classification report\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       1.00      1.00      1.00        10\n",
            "           1       1.00      1.00      1.00         9\n",
            "           2       1.00      1.00      1.00        11\n",
            "\n",
            "    accuracy                           1.00        30\n",
            "   macro avg       1.00      1.00      1.00        30\n",
            "weighted avg       1.00      1.00      1.00        30\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.heatmap(confusion_matrix(y_test, y_pred), annot=True, fmt='d', cmap='Blues')\n",
        "plt.xlabel('Predicted Labels')\n",
        "plt.ylabel('True Labels')\n",
        "plt.title('Confusion Matrix')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "-2kix-PSlYNS",
        "outputId": "2a5d8de7-1b7d-40ab-944b-45884654d78f"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#KNN Algorithm\n",
        "knn = KNeighborsClassifier(n_neighbors=5)\n",
        "knn.fit(x_train_scaled, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "id": "5I75gPGno2xw",
        "outputId": "4410f600-d010-4df5-ea94-fd5926ddfd69"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "KNeighborsClassifier()"
            ],
            "text/html": [
              "<style>#sk-container-id-2 {\n",
              "  /* Definition of color scheme common for light and dark mode */\n",
              "  --sklearn-color-text: #000;\n",
              "  --sklearn-color-text-muted: #666;\n",
              "  --sklearn-color-line: gray;\n",
              "  /* Definition of color scheme for unfitted estimators */\n",
              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
              "  --sklearn-color-unfitted-level-3: chocolate;\n",
              "  /* Definition of color scheme for fitted estimators */\n",
              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
              "\n",
              "  /* Specific color for light theme */\n",
              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-icon: #696969;\n",
              "\n",
              "  @media (prefers-color-scheme: dark) {\n",
              "    /* Redefinition of color scheme for dark theme */\n",
              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-icon: #878787;\n",
              "  }\n",
              "}\n",
              "\n",
              "#sk-container-id-2 {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 pre {\n",
              "  padding: 0;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 input.sk-hidden--visually {\n",
              "  border: 0;\n",
              "  clip: rect(1px 1px 1px 1px);\n",
              "  clip: rect(1px, 1px, 1px, 1px);\n",
              "  height: 1px;\n",
              "  margin: -1px;\n",
              "  overflow: hidden;\n",
              "  padding: 0;\n",
              "  position: absolute;\n",
              "  width: 1px;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-dashed-wrapped {\n",
              "  border: 1px dashed var(--sklearn-color-line);\n",
              "  margin: 0 0.4em 0.5em 0.4em;\n",
              "  box-sizing: border-box;\n",
              "  padding-bottom: 0.4em;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-container {\n",
              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
              "     so we also need the `!important` here to be able to override the\n",
              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
              "  display: inline-block !important;\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-text-repr-fallback {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              "div.sk-parallel-item,\n",
              "div.sk-serial,\n",
              "div.sk-item {\n",
              "  /* draw centered vertical line to link estimators */\n",
              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
              "  background-size: 2px 100%;\n",
              "  background-repeat: no-repeat;\n",
              "  background-position: center center;\n",
              "}\n",
              "\n",
              "/* Parallel-specific style estimator block */\n",
              "\n",
              "#sk-container-id-2 div.sk-parallel-item::after {\n",
              "  content: \"\";\n",
              "  width: 100%;\n",
              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
              "  flex-grow: 1;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-parallel {\n",
              "  display: flex;\n",
              "  align-items: stretch;\n",
              "  justify-content: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-parallel-item {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
              "  align-self: flex-end;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
              "  align-self: flex-start;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
              "  width: 0;\n",
              "}\n",
              "\n",
              "/* Serial-specific style estimator block */\n",
              "\n",
              "#sk-container-id-2 div.sk-serial {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "  align-items: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  padding-right: 1em;\n",
              "  padding-left: 1em;\n",
              "}\n",
              "\n",
              "\n",
              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
              "clickable and can be expanded/collapsed.\n",
              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
              "*/\n",
              "\n",
              "/* Pipeline and ColumnTransformer style (default) */\n",
              "\n",
              "#sk-container-id-2 div.sk-toggleable {\n",
              "  /* Default theme specific background. It is overwritten whether we have a\n",
              "  specific estimator or a Pipeline/ColumnTransformer */\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "/* Toggleable label */\n",
              "#sk-container-id-2 label.sk-toggleable__label {\n",
              "  cursor: pointer;\n",
              "  display: flex;\n",
              "  width: 100%;\n",
              "  margin-bottom: 0;\n",
              "  padding: 0.5em;\n",
              "  box-sizing: border-box;\n",
              "  text-align: center;\n",
              "  align-items: start;\n",
              "  justify-content: space-between;\n",
              "  gap: 0.5em;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 label.sk-toggleable__label .caption {\n",
              "  font-size: 0.6rem;\n",
              "  font-weight: lighter;\n",
              "  color: var(--sklearn-color-text-muted);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
              "  /* Arrow on the left of the label */\n",
              "  content: \"▸\";\n",
              "  float: left;\n",
              "  margin-right: 0.25em;\n",
              "  color: var(--sklearn-color-icon);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "/* Toggleable content - dropdown */\n",
              "\n",
              "#sk-container-id-2 div.sk-toggleable__content {\n",
              "  max-height: 0;\n",
              "  max-width: 0;\n",
              "  overflow: hidden;\n",
              "  text-align: left;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-toggleable__content pre {\n",
              "  margin: 0.2em;\n",
              "  border-radius: 0.25em;\n",
              "  color: var(--sklearn-color-text);\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
              "  /* Expand drop-down */\n",
              "  max-height: 200px;\n",
              "  max-width: 100%;\n",
              "  overflow: auto;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
              "  content: \"▾\";\n",
              "}\n",
              "\n",
              "/* Pipeline/ColumnTransformer-specific style */\n",
              "\n",
              "#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator-specific style */\n",
              "\n",
              "/* Colorize estimator box */\n",
              "#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
              "#sk-container-id-2 div.sk-label label {\n",
              "  /* The background is the default theme color */\n",
              "  color: var(--sklearn-color-text-on-default-background);\n",
              "}\n",
              "\n",
              "/* On hover, darken the color of the background */\n",
              "#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "/* Label box, darken color on hover, fitted */\n",
              "#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator label */\n",
              "\n",
              "#sk-container-id-2 div.sk-label label {\n",
              "  font-family: monospace;\n",
              "  font-weight: bold;\n",
              "  display: inline-block;\n",
              "  line-height: 1.2em;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-label-container {\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "/* Estimator-specific */\n",
              "#sk-container-id-2 div.sk-estimator {\n",
              "  font-family: monospace;\n",
              "  border: 1px dotted var(--sklearn-color-border-box);\n",
              "  border-radius: 0.25em;\n",
              "  box-sizing: border-box;\n",
              "  margin-bottom: 0.5em;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-estimator.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "/* on hover */\n",
              "#sk-container-id-2 div.sk-estimator:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
              "\n",
              "/* Common style for \"i\" and \"?\" */\n",
              "\n",
              ".sk-estimator-doc-link,\n",
              "a:link.sk-estimator-doc-link,\n",
              "a:visited.sk-estimator-doc-link {\n",
              "  float: right;\n",
              "  font-size: smaller;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1em;\n",
              "  height: 1em;\n",
              "  width: 1em;\n",
              "  text-decoration: none !important;\n",
              "  margin-left: 0.5em;\n",
              "  text-align: center;\n",
              "  /* unfitted */\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted,\n",
              "a:link.sk-estimator-doc-link.fitted,\n",
              "a:visited.sk-estimator-doc-link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "/* Span, style for the box shown on hovering the info icon */\n",
              ".sk-estimator-doc-link span {\n",
              "  display: none;\n",
              "  z-index: 9999;\n",
              "  position: relative;\n",
              "  font-weight: normal;\n",
              "  right: .2ex;\n",
              "  padding: .5ex;\n",
              "  margin: .5ex;\n",
              "  width: min-content;\n",
              "  min-width: 20ex;\n",
              "  max-width: 50ex;\n",
              "  color: var(--sklearn-color-text);\n",
              "  box-shadow: 2pt 2pt 4pt #999;\n",
              "  /* unfitted */\n",
              "  background: var(--sklearn-color-unfitted-level-0);\n",
              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted span {\n",
              "  /* fitted */\n",
              "  background: var(--sklearn-color-fitted-level-0);\n",
              "  border: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link:hover span {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
              "\n",
              "#sk-container-id-2 a.estimator_doc_link {\n",
              "  float: right;\n",
              "  font-size: 1rem;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1rem;\n",
              "  height: 1rem;\n",
              "  width: 1rem;\n",
              "  text-decoration: none;\n",
              "  /* unfitted */\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 a.estimator_doc_link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "#sk-container-id-2 a.estimator_doc_link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsClassifier()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>KNeighborsClassifier</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.neighbors.KNeighborsClassifier.html\">?<span>Documentation for KNeighborsClassifier</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>KNeighborsClassifier()</pre></div> </div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "knn_pred = knn.predict(x_test_scaled)\n",
        "print(knn_pred)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ipPvG9qro9Yv",
        "outputId": "e364fc9e-2094-4991-8e35-e70c7730dc61"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1 0 2 1 1 0 1 2 1 1 2 0 0 0 0 1 2 1 1 2 0 2 0 2 2 2 2 2 0 0]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Accuracy Score\")\n",
        "print(f\"{accuracy_score(y_test, knn_pred)*100:.1f}%\")\n",
        "\n",
        "print(\"confusion matrix\")\n",
        "print(confusion_matrix(y_test, knn_pred))\n",
        "\n",
        "print(\"classification report\")\n",
        "print(classification_report(y_test, knn_pred))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FcmPewAZpG0G",
        "outputId": "b5152837-a45a-4246-ca91-fa5bbaa016d0"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy Score\n",
            "100.0%\n",
            "confusion matrix\n",
            "[[10  0  0]\n",
            " [ 0  9  0]\n",
            " [ 0  0 11]]\n",
            "classification report\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       1.00      1.00      1.00        10\n",
            "           1       1.00      1.00      1.00         9\n",
            "           2       1.00      1.00      1.00        11\n",
            "\n",
            "    accuracy                           1.00        30\n",
            "   macro avg       1.00      1.00      1.00        30\n",
            "weighted avg       1.00      1.00      1.00        30\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.heatmap(confusion_matrix(y_test, knn_pred), annot=True, fmt='d', cmap='Blues')\n",
        "plt.xlabel('Predicted Labels')\n",
        "plt.ylabel('True Labels')\n",
        "plt.title('Confusion Matrix')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "id": "FtPCXy0spLc3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "outputId": "aba051f5-1489-4235-c107-b408d70add2f"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model_names = ['Logistic Regression', 'KNN']\n",
        "accuracy_scores = [\n",
        "    accuracy_score(y_test, y_pred) * 100,\n",
        "    accuracy_score(y_test, knn_pred) * 100\n",
        "]\n",
        "\n",
        "plt.figure(figsize=(8, 5))\n",
        "sns.barplot(x=model_names, y=accuracy_scores, hue=model_names, palette='viridis', legend=False)\n",
        "plt.ylim(0, 100)\n",
        "plt.title('Model Performance Comparison (Accuracy)')\n",
        "plt.xlabel('Model')\n",
        "plt.ylabel('Accuracy (%)')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "uGLz6hIQqXAy",
        "outputId": "0c3733e4-58ce-4f25-a84c-53bdb0985105"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.DataFrame(x, columns=iris.feature_names)\n",
        "df['species'] = y\n",
        "df['species'] = df['species'].map(lambda x: iris.target_names[x])\n",
        "\n",
        "# Pairwise feature scatter plots\n",
        "print(\"Generating Pairwise Feature Scatter Plots...\")\n",
        "sns.pairplot(df, hue='species', diag_kind='kde')\n",
        "plt.suptitle('Pairwise Feature Scatter Plots by Species', y=1.02)\n",
        "plt.show()\n",
        "\n",
        "# Feature Correlation Matrix\n",
        "print(\"Generating Feature Correlation Matrix...\")\n",
        "correlation_matrix = df[iris.feature_names].corr()\n",
        "plt.figure(figsize=(8, 6))\n",
        "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n",
        "plt.title('Feature Correlation Matrix')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "1mOxOMYAws0H",
        "outputId": "ccbfa656-a455-4be2-e27d-ca4e916a19e3"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Generating Pairwise Feature Scatter Plots...\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1117.75x1000 with 20 Axes>"
            ],
            "image/png": 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m9Pz2Nh9fX1+ioqJK53PgwAHgVG6oM/n7+wPO7VnAWX/nzlTe8Q0GA3PmzOH+++8nIiKCnj17ctVVVzFu3DgiIyPP6TmFEEJcGCTAIoQQF6Du3bt7XGUAziDH8OHD6d+/P2+99RZRUVHodDoWLFjglkjWm9NXbZzUrVs3jEYja9asoWHDhoSHh9OiRQv69evHW2+9RXFxMX/++ScjRowoc+zWrVuzb98+fvzxR3755Re++eYb3nrrLZ588kmeeeaZ0iSzN910E+PHj/c4RocOHcr1OrxxOBxcdtllPPTQQx77W7RoAVTOe+ktEHN6YOJ0Z773lf1+REVFMWbMGEaNGkXbtm356quvWLhwYbkfP2vWLJ544gkmTpzIc889R3BwMGq1munTp7slCD5XDoeD9u3b8/LLL3vsj42NdfnZ0+9pWcxms9egW1UaPXo0/fr147vvvuO3335j7ty5zJkzh2+//ZYhQ4ac83iefqcGDx5MREQEixYton///ixatIjIyMhzfr0hISEMHz6c4cOHc/HFF7N69WqOHTtWmqulPE7+HnzyySceAxll5QGq7PGnT5/OsGHDWLJkCb/++itPPPEEs2fPZsWKFXTu3LlC8xBCCFH/SIBFCCGEi2+++Qaj0civv/7qUoZ5wYIFFRpXr9fTvXt3/vzzTxo2bFiauLRfv34UFxfz6aefkpKSQv/+/c86ltls5vrrr+f666/HarUycuRIZs6cyaOPPkpYWBh+fn7Y7fYq+zLctGlT8vPzzzr+ubyX3gIpQUFBHkshl2flA1Bl74dOp6NDhw4cOHCA9PR0wsPD8ff3Z+fOnWU+bvHixVxyySV8+OGHLu3Z2dmEhoaW/lzWCh9vfU2bNmXbtm0MGjSoylYInatGjRqxfPly8vLyXFax7N27t7T/pLLmHBUVxV133cVdd91FamoqXbp0YebMmeUKsBw4cMBltc7BgwdxOBwuSVo1Gg1jx45l4cKFzJkzhyVLlnjc6ncuunXrxurVq0lKSnJ5nQcOHOCSSy4p/Tk/P5+kpCSuvPJK4FRy3/Dw8DJ/Z0+u4Dnb79yZyjv+6cfff//93H///Rw4cIBOnTrx0ksvsWjRonN6XiGEEPWf5GARQgjhQqPRoFKpXFZIHD161K0Cy/no168fGzZsYOXKlaUBltDQUFq3bs2cOXNKjylLRkaGy896vZ42bdqgKAolJSVoNBpGjRrFN9984/GLV1nldMtr9OjRrFu3jl9//dWtLzs7G5vNBpzbe2k2mz0GUpo2bUpOTg7bt28vbUtKSuK7774r11wr+n4cOHCA48ePu7VnZ2ezbt06goKCCAsLQ61Wc8011/DDDz+wefNmt+NP5vbQaDQu5YnBmTvlzFwdJ/N+eHpPzGYzOTk5bu2jR48mISGB999/363PYrGU5v+pTldeeSV2u5158+a5tL/yyiuoVCqXAImn3wG73e72WsPDw4mOjnYrPe3Nm2++6fLzG2+8AeAWnLn55pvJyspi8uTJ5Ofnc9NNN5117OTkZHbv3u3WbrVa+eOPP1Cr1TRr1syl77333qOkpKT057fffhubzVY6n8GDB+Pv78+sWbNcjjvp5O9sWFgY/fv3Z/78+W6/o2f+jp2uvOMXFha6lLMG5/no5+dX7vdeCCHEhUVWsAghhHAxdOhQXn75Za644grGjh1Lamoqb775Js2aNXP5kn8++vXrx8yZMzlx4oRLIKV///68++67xMXF0aBBgzLHuPzyy4mMjKRPnz5ERESwZ88e5s2bx9ChQ0tXCDz//POsXLmSHj16MGnSJNq0aUNmZib//PMPy5cvJzMzs0Kv48EHH+T777/nqquuYsKECXTt2pWCggJ27NjB4sWLOXr0KKGhoef0Xnbt2pXly5fz8ssvEx0dTePGjenRowdjxozh4YcfZsSIEUybNq20nGyLFi3KnRS2Iu/Htm3bGDt2LEOGDKFfv34EBweTkJDARx99RGJiIq+++mrpKodZs2bx22+/MWDAgNIyyUlJSXz99df89ddfBAYGctVVV/Hss89yyy230Lt3b3bs2MGnn37qlk+kadOmBAYG8s477+Dn54fZbKZHjx40btyYrl278uWXX3Lfffdx0UUX4evry7Bhw7j55pv56quvuOOOO1i5ciV9+vTBbrezd+9evvrqK3799VevW+OqyrBhw7jkkkt4/PHHOXr0KB07duS3335j6dKlTJ8+3aUct6ffgZYtW9KgQQOuvfZaOnbsiK+vL8uXL2fTpk289NJL5ZrDkSNHGD58OFdccQXr1q1j0aJFjB07lo4dO7oc17lzZ9q1a1eaLLg8JaDj4+Pp3r07AwcOZNCgQURGRpKamsrnn3/Otm3bmD59usvKJHAGXwYNGsTo0aPZt28fb731Fn379i0t4e7v78/bb7/NzTffTJcuXRgzZgxhYWEcP36cn376iT59+pQGrF5//XX69u1Lly5duP3222ncuDFHjx7lp59+YuvWrR7nXN7x9+/fXzrPNm3aoNVq+e6770hJSWHMmDHleu+FEEJcYGqqfJEQQojqd7Jcqacyuqf78MMPlebNmysGg0Fp1aqVsmDBAo9lgb2VafY2fm5urqLRaBQ/Pz+XMs6LFi1SAOXmm292e8yZZZrfffddpX///kpISIhiMBiUpk2bKg8++KCSk5Pj8riUlBRlypQpSmxsrKLT6ZTIyEhl0KBBynvvvVfmaz/5uoYOHVrmMXl5ecqjjz6qNGvWTNHr9UpoaKjSu3dv5cUXX3QpQVve93Lv3r1K//79FZPJpAAu7+tvv/2mtGvXTtHr9UrLli2VRYsWeS3T7K2c7/m+HykpKcrzzz+vDBgwQImKilK0Wq0SFBSkDBw4UFm8eLHb8ceOHVPGjRunhIWFKQaDQWnSpIkyZcoUpbi4WFEUZ5nm+++/X4mKilJMJpPSp08fZd26dW7/nRVFUZYuXaq0adNG0Wq1LiWb8/PzlbFjxyqBgYEK4FIW2Wq1KnPmzFHatm2rGAwGJSgoSOnatavyzDPPuPyOlPVeeTJgwICzlgdXFM9ltfPy8pR7771XiY6OVnQ6ndK8eXNl7ty5LqWEFcXz70BxcbHy4IMPKh07dlT8/PwUs9msdOzYUXnrrbfOOpeTvyO7d+9Wrr32WsXPz08JCgpSpk6dqlgsFo+POVkyedasWWcdX1Gc5/Rrr72mDB48WGnQoIGi0+kUPz8/pVevXsr777/vsVzy6tWrldtvv10JCgpSfH19lRtvvFHJyMhwG3vlypXK4MGDlYCAAMVoNCpNmzZVJkyYoGzevNnluJ07dyojRoxQAgMDFaPRqLRs2VJ54okn3J73ZJnm8o6fnp6uTJkyRWnVqpViNpuVgIAApUePHspXX31VrvdGCCHEhUelKGWsoRRCCCGEEBeM1157jXvvvZejR4+6lT6uqIULF3LLLbewadOmal9JJIQQQlQHycEihBBCCCFQFIUPP/yQAQMGVHpwRQghhLgQSA4WIYQQQogLWEFBAd9//z0rV65kx44dLF26tKanJIQQQtRJEmARQgghhLiApaWlMXbsWAIDA3nsscdKk80KIYQQ4txIDhYhhBBCCCGEEEKICpIcLEIIIYQQQgghhBAVJAEWIYQQQgghhBBCiAqSAIsQQgghhBBCCCFEBUmARQghhBBCCCGEEKKCJMAihBBCCCGEEEIIUUESYBFCCCGEEEIIIYSoIAmwCCGEEEIIIYQQQlSQBFiEEEIIIYQQQgghKkgCLEIIIYQQQgghhBAVJAEWIYQQQgghhBBCiAqSAIsQQgghhBBCCCFEBUmARQghhBBCCCGEEKKCJMAihBBCCCGEEEIIUUESYBFCCCGEEEIIIYSoIAmwCCGEEEIIIYQQQlSQBFiEEEIIIYQQQgghKkgCLEIIIYQQQgghhBAVJAEWIYQQQgghhBBCiAq64AIsiqKQm5uLoig1PRUhxBnk/BSidpJzU4jaS85PIYSoPepcgMVut/PEE0/QuHFjTCYTTZs25bnnniv3H5W8vDwCAgLIy8ur4pkKIc6VnJ9C1E5ybgpRe8n5KYQQtYe2pidwrubMmcPbb7/NRx99RNu2bdm8eTO33HILAQEBTJs2raanJ4QQQgghhBBCiAtQnQuwrF27lquvvpqhQ4cCEBcXx+eff87GjRtreGZCCCGEEEIIIYS4UNW5AEvv3r1577332L9/Py1atGDbtm389ddfvPzyyx6PLy4upri4uPTn3Nzc6pqqEOIs5PwUonaSc1OI2kvOTyGEqL3qXA6WRx55hDFjxtCqVSt0Oh2dO3dm+vTp3HjjjR6Pnz17NgEBAaX/YmNjq3nGQghv5PwUonaSc1OI2kvOTyGEqL1USh1LOf7FF1/w4IMPMnfuXNq2bcvWrVuZPn06L7/8MuPHj3c73lOUPzY2lpycHPz9/atz6kKIM8j5Kc6XzWEj35qPXqPHR+dT09Opd+TcFHWNoijkWnNRo8bP4FfT06lScn6KqlBYUojVbsVX54tWU+c2OQhRa9S5s+fBBx8sXcUC0L59e44dO8bs2bM9BlgMBgMGg6G6pymEKAc5P8W5UhSFhPwElhxcwp8JfxJkCGJ82/G0Cm5FkDGopqdXb8i5KeqS5IJkVhxfwY+Hf0Sn1nFDqxvoGtGVMJ+wmp5alZDzU1Sm7OJs9mfuZ+GuhWRYMugV3YtRLUYR4xuDWlXnNjsIUePqXIClsLAQtdr1ZNdoNDgcjhqakRBCiOpyNPcoN/18E7nWUzkH/k78m7GtxnJXp7sIMATU4OyEENUtqSCJib9OJD4vvrTtn9R/6BHZg9n9ZtfbIIsQlSG3OJePdn3EBzs+KG3bnbmbL/Z9wSdDPqF5UPManJ0QdVOdC0sOGzaMmTNn8tNPP3H06FG+++47Xn75ZUaMGFHTUxNCCFGF8q35vLT5JZfgykmf7f2M1MLUGpiVEKKm2B12lh5Y6hJcOWlD8gb2Zu6tgVkJUXdkFGW4BFdOKigpYPbG2eQU59TArISo2+pcgOWNN97g2muv5a677qJ169Y88MADTJ48meeee66mpyaEEKIK5VpzWRO/xmt/WX1CiPonsyiTJYeWeO3/av9XFNuKvfYLcaHbkLTBa9+m5E0eb2gIIcpW57YI+fn58eqrr/Lqq6/W9FRqrdTcImb9vIeWkf7cMaAJKpWqpqckhBAVplB2Tvaz9QshLix1rI6DEEKIeqDOrWARZzf9y618vy2ROb/s5fttiTU9HSGEqBT+en/6RPfx2t8/pn81zkYIUdOCjEFc1eQqr/3XtbwOg1aSwQrhTffI7l77ukZ0xV8vVamEOFcSYKlntsdns/ZQBvcMakGn2EDeW3O4pqckhBCVwk/vx4MXPYivztet77oW1xFuDq+BWQkhaopWrWVU81FEm6Pd+rqGd6VNcJsamJUQdUeoKZQJbSe4tZu0Jh7r8ZgkjhfiPNS5LUKibEu3JhJo0tG1URAKCq8uP8CR9AIah5prempCCFFhcQFxfDXsKxbvW8xfiX8RYAjglra30DakLYGGwJqenhCimkX5RrHwioX8duw3fjz8I3q1nhta3UD3qO5SQUiIs/A3+DOx3UR6R/dm/s75ZBZl0jOqJ9e3vJ4Y35ianp4QdZIEWOqZFXtT6dooCI1aRccGgWjVKtbsT5MAixCiXlCr1MT6xTK181TGtxuPXq3HV+++okUIceGI8o3i5jY3M7zpcNQqtdx1F+IcBBmD6BXdi/ah7bE6rPjp/NBpdDU9LSHqLNkiVI8k5Vg4kl5A+wbOCwujTkPzcF/WHkqv4ZkJIUTl0ml0BBuDJbgihACcwdcgY5AEV4Q4T756X4KNwRJcEaKCJMBSj2w6mgVAq8hTCamaR/jx7/HsGpqREKKi7A47+dZ8rHZruY632q3kW/OxO+zlOt5SYqGwpLAiU6wRDsVBvjVfSrAKcYE41882T4psRWRaMim2u35uWGwWCkoKKjpFIeq0Ylsx+dZ8HIqj3I8p6xqlsKSQTEsmJfaSypymELWebBGqR/45lkWkv5EA06nIc7NwX77flkhSjoWoAFMNzk4IcS4cioOE/AR+OvQT65PXE+kTyU1tbqKhX0P8De5Z/fOseRzPPc6iPYtIKkiie2R3hjUdRrQ5Go1a43Z8WmEa29O38+W+L1EUhVHNR9ElogvhPrU/UWxCfgK/H/2d1fGrCTYGc1Obm2ji34QAo9y5FqK+KSgp4ETeCT7b8xnH847TObwzI5qNINo3Gq26fJex2UXZJBQk8Pmez4nPj6dVcCuubXEtgYZA9mTs4bO9n2G1WxnedDg9o3oSYY6o4lclRO2RW5zLkdwjLNq9iDRLGn1j+nJF3BXE+MagUqk8PsahOEjMT+Snwz+xLmkd4aZwbmpzE3H+cdgUGwl5CXy+93MSCxJpF9qOkc1GEuMbI1W9xAVBpSiKUtOTqE65ubkEBASQk5ODv3/9Kj028q2/Meo03D2weWlbRn4xUz//lw/GdePSNnLBIGq3+nx+nqsDWQe4ednNbndVH77oYUY2H4mPzqe0rdBWyA+HfmDG+hkux/poffhoyEe0Cm7l0p5WmMbDfz7MpuRNLu1tQtrw+iWv1+ovF8dyj3HzzzeTVZzl0n5bu9u4pd0tHoNPouLk3BQ1ochWxPJjy3n0r0dd2g0aAwsGL6B9WPuzjlFYUsgfx//g8b8eR+HUJa9erefli1/mpS0vcSTnSGl7nH8c71/+PpHmyMp7IVVMzk9xvvKseXyx9wte//d1l3Z/vT+fDPmEJoFNPD7uYPZBxv08jrySPJf2Dy//kKO5R3lu/XMu7Satifcue49O4Z0qdf5C1EayRaiesDsUdifluiWzDTbrMRs07E3OraGZCSHOVXZxNs+se8bjkvW5m+eSbnHNq5RhyWD2htluxxbaCnlq7VNkFbkGI/5N/dctuAKwO2M3f8b/WcHZV50CawGvbHnFLbgC8MHOD0izpNXArIQQVSXDksFTa59yay+2F/P4X4+7fRZ6kmZJ47n1z7kEVwCsDivPb3qeG1vf6NJ+NPcoSw4uqdBWJCHqigxLhltwBSDXmsucTXPIs+a59eUU5zBj/Qy34ApAgCGA5zc+79ZusVl4Zt0zJOUnVc7EhajFJMBSTxzNKKCoxEFciGuARaVS0TDYhz3J7h+CQojaKac4h21p2zz2ORQHO9J2uLTtydiDXfH8ZWB3xm5yinNKf8635vP53s+9PveX+790C8jUFjnWHFaeWOm1f038mmqcjRCiqh3LPYbV4Tn/1JHcIy6fbd4k5CVgsVk89sXnxRNiDHFr//bAt2QWZZ7bZIWogzYmb/TatzZxLdnF2W7tOcU5bEnZ4tbeyK8RR3OPUuLwnHPlYPZBcqxnP2eFqOskwFJP7PsvgBIb7OPWFxNo4kCKBFiEqCvOtnPTpthcf3bYvBz533in3blVULwGY4BafddWQSkz+Z63izohRN105mfdmcqTjLOszzvAbWXLycd4aheivjnr9YOH6xFv54ZGrTnrNcS5JNAVoq6SAEs9sS85j0CTziXB7UnRgSaOphdid8jFghB1gb/enxZBLbz2dwzr6PJzm5A2qPCciK5JQBP89af25Pvp/bim2TVexx7edHitLXPqp/OjZ1RPr/39Y/pX42yEEFWtcUBjtCrPiWyjzFFn/awqshXRwK8BOrXnsrNhpjCPVdSGxA0hyBB07hMWoo7pHtXda1/H0I746/1JLUxlf+Z+9mfuJ60wDT+9H62DW7sdfzjnME0Dm6JWef562cCvgcv1iBD1lQRY6okDqXnEBHmuEhQTaMJqdxCfVfdKsQpxIQo2BfNkryc9VsiY0HYCISbXJe2hplBua3+b27FalZanej3ldnyv6F40C2zmdnwD3wZcFneZ14ujmuZv8Oehix7CpHX/rLuqyVV1KimlEOLsQowh3N3lbrd2tUrN072fLrPqWbolnVe3vMrqE6uZ2mmqW78KFfd1vY/P9n7m0h5qCuWGVjeg03gOyghRn4SZwhjdYrRbu0Fj4NEej3I45zBjfxrLqB9GMeqHUdz0803E58bzRM8nPAYuMy2ZTGo/ya1do9LwePfHaeDXoEpehxC1iVQRqicue3k1jULM3Nq3sVtfWl4R077YysJbLuLilrW/BKu4cNXX8/N8WO1WTuSdYP7O+fyT+g+hxlAmdZhE+9D2BBnd76xmF2WzM30n7+94n1RLKp1CO3Fr+1tp6N8QvUbvcuyx3GMcyj7Enow9/H78dxwOB5c0vIQu4V1o4NeApoFNq+tlnjObw0ZCfgIf7/qYtUlrCTQEckvbW+ga0dUtkCQqj5yboqbkFOewN3Mv721/j8T8RNqGtGVSh0k08m+EUWv0+JhiWzGv/vMqi/YsAuClAS/ho/Vhwa4FJOYn0jyoOZPaTyLUJ5S/4v/ii31fUGwv5oq4KxjRfAQxvjHV+RIrTM5PURGZRZlsTd3K/J3zySjKoHtEdya0mwDAiKUj3LbZadValg5fik2xsWDXAjanbCbEGMJt7W+jY1hHSuwl7M3ay4KdC0guSKZ1SGtua38bDX0b4mvwrYFXKET1kgBLPWCzO2j95C+M7d6IK9q538F1OBTGL9zIE0PbML53XPVPUIhyqo/nZ0VZbBYKSgrQq/XlKkGcW5yL1W7FrDd7XOlRYi/hxc0v8tnez+gc3pm+MX1RoWJd0jo2JW9iaOOhPNX7KY+PrU2KbcXkleShU+kIMNbOLU31iZyboqad/Gzz0fm4lKn3JD4vnuFLhrvkZWoe2JzJHSbjb/CnoV9DYvxOBVEyLZk4cBBoCPS4crC2k/NTVIac4hxKHCX46nxRoeK59c+x9NBSj8eObjGah7s/jENxkF+Sj06tc9uyl1aYRrG9GD+9X63deixEVah7f0WEm4RsCyV2hehAz3dy1GoVEX5Gjma4l3wVQtRuJq3pnIIdZwvCWGwWdqQ7qxD9m/ov/6b+69K/O2M3hSWFtT7AYtAaMGgNNT0NIUQ1KU+A+aSCkgK3pNcHsg/wwJoHAJg3cJ5LgCXYFFw5kxSiDjs9CJJVlMXujN1ej92ZvpPCkkICjYFeV5KF+YRV+hyFqAtq50Z7cU4OpzsDJ1EB3r8QhfsbOJYuARYhLnQGjYFG/o289jfwa+D1YkkIIeoCk9ZUZi6pUFNoNc5GiLrHqDES6xfrtT/WP1auFYTwQgIs9cCRtAJ0GhUhvnqvx4T7GTmeaanGWQkhaiOD1sC4NuO89k9qPwmzzlyNMxJCiMoVYgxhUMNBHvsa+jWUO+tCnIVJZ2Ji+4le+29pe4sEWITwQgIs9cDRjAIi/Y2oVZ7LtAKE+xmIzyr0WM9eCHFhaejfkNl9Z2PUnLo40qv1/K/H/2p1glshhCgPs97MQxc9RI/IHi7tcf5xvHXpW2VWHxJCODUJaMJTvZ5Crz51A9egMTCjz4wyV8IKcaGTHCz1wLGMQiL8y44ih/sZKLI5SMsrJvwsxwoh6jezzsxlcZfROaIziXmJOHAQ4xtDqClU7kgJIeqFSHMkcwfMJaMog+SCZIKNwYSZwmT1ihDl5Kf3Y1iTYfSK6kVCfgIAMb4xhJhC5FpBiDJIgKUeOJJeQPuYsrNzh/k5k0HGZ1skwCKEwKAxEOMbU+fKkQohRHkFGYMIMgbRLLBZTU9FiDrJoDUQ4xfjkhRaCFE22SJUx9nsDhKzLUT4l11NI9TX2Z+QJXlYhBBCCCGEEEKIyiYrWOq4pJwibA7lrFuEzAYtPnoNCdkSYBGivsq35pNZlEmRvQhfnS9hpjB0Gl1NT0sIISqkoKSAzKJMLDYLvjpfQk2h6DXeE/sLIdxZ7VbSLenkl+Rj0poIMYbgo/Op6WkJUe9IgKWOO55ZCHDWAAs4twnFZxVW9ZSEEDUgqSCJORvnsPLEShyKA7POzKT2kxjRbATBpuCanp4QQpyXlIIUXt7yMr8e/RW7YsekNTG+zXjGtBpDiCmkpqcnRJ2QYcng872f8/Huj7HYLGhUGq6Iu4J7u95LhDmipqcnRL0iAZY67nhmIWoVZZZoPinErCcxu6gaZiWEqE4Zlgymr5jO7szdpW0FJQW8+s+raNQabmp9E1q1fNwLIeqWrKIsHv3zUTalbCpts9gsvLP9HRw4mNxhsqxkEeIsim3FLNq9iA92flDaZlfs/HTkJ9It6cwdMJcgY1ANzlCI+kVysNRxxzMLCfU1oFWf/T9liK9BcrAIUQ8lFSS5BFdO9/7290krTKvmGQkhRMWlFaa5BFdO9/Guj0mzyGebEGeTXpTOJ3s+8di3IXkD6Zb0ap6REPWbBFjquOOZhaUVgs4mxKwnMUcCLELUN4eyD3nty7XmUmiTrYFCiLonPj/ea1+RvYgCa0E1zkaIuinPmkexvdhr/8kSzEKIyiEBljruREZhaYWgswn1NZBXZCOvqKSKZyWEqE6R5kivfVq1FoPG+RnhUBzVNSUhhKiwUFOo1z61So1Ra0RRFBRFqcZZCVH7nf733kfrgwqV12Mll5EQlUs25ddxJ7IKaRnpV65jQ8zOfcpJOUX4GaWyiBD1RSP/RgQbg8ksynTrG9p4KCWOEmasn0FWURZDGg+hfWh7SWonhKj1Is2RRJmjSCpIcuu7OPZirHYrT659EqvdyvCmw2kR1IIwn7AamKkQtUNaYRp7M/fyw+EfMGlMjGwxkmhzNAMaDGBV/Cq346PN0UT4yPWAEJVJAix1WEGxjazCkvJvEfovEW5yThEtIsoXlBFC1H4RPhG8d9l7TP59MhlFGaXtF0VcxJiWYxj1/ShKHM6Va78d+43G/o157/L3ylz5IoQQNS3cJ5y3L32byb9PJqUwpbS9Q2gHbml7C2N/HovF5tz6/PORn+ka3pUXBrxAuE94TU1ZiBqTWpDK9FXT2ZG+o7Tt24PfcmOrG3m4+8NkFGW49EWaI3n70rflfBGikkmApQ5LyHZeVJQ3wBLko0cFJEkeFiHqFZVKRYugFnxx1Rck5ieSbkknzj8OvUbP6B9HlwZXTjqSe4SPd3/MvV3uRaeR1WxCiNqraWBTPr3yU5IKkkgpTKGRXyPUKjXjfxlfGlw5aUvqFlYeX8n1ra6vodkKUTMcioOfj/zsEkA56dO9nzKkyRDeGPgGaYVpHMs7RoRPBFHmKFnNKkQVkABLHRaf5UxcGVbOHCxajZpAHx1JOVKqWYj6RqVSEWmOdFmV8vo/r7t9ATnpm/3fML7NeLm4EkLUehHmiNLPKqvdykNrHiK/JN/jsZ/t/YxLG10qeSXEBSXTksmX+7702v/5ns+Z0XcGIaYQWoW0qsaZCXHhkSS3dVh8lgWtWkWQj77cjwnx1ZOULQEWIS4EudZcr31F9iIUJDGkEKJusSv2MiujWWwWSegtLjh2xe71hgpAfkm+nBdCVBNZwVKHxWdZCPU1oFZ7zwx+piAfPcm5EmAR4kJweaPLvd7RuqrJVahRczTnKAoKAfoAgk3BXsdyKA7SCtPIL8lHr9ETYgzBR+dTaXPNLs4mpzgHh+LAX+8vd5+FuICkW9LJLc5Fq9YSYAggwBCAzW4jzZJGoa0Qg8aAVqWlwFaAj86HCa0nsC5xncexLm10KQGGgGp+BUJUPqvdSrolHYvNgklrIswU5nVbb4AhgItjL+aflH8Y02oMoaZQNGoNezL2sHj/YoY1HYZeU/4bsjUltTCVfGs+Oo2OIEMQvnrfmp6SEOdMAix1WHxWIaF+5/ZhGeSj50h6QRXNSAhRmzQOaEznsM78m/avS3vnsM7c0OoG7l55N7szdgPQIqgFT/d6mlbBrdwu4HKKc1h1YhWvbHmFjKIMNCoNlza8lPu63Ue0b3SF5uhQHBzKPsTTa59me/p2AJoENOGpXk/RNrRtaYlpIUT9U2QrYnvadp5d/yzHco8B0DWiK4/3eJx/Uv7h1X9eJb8kH4PGwNAmQ+kd3ZtZG2Yxvu14nu71NE+ve9plvABDADe0uqFOfJEUoizplnQW7V7EZ3s/Kw2wjG01lpva3OSxfLlRa+S2drexI2oHb219i6O5RwHoHN6Z5/s9T9OAptX8Cs5NvjWf9UnreX7j86QUpqBCRf+Y/jzS4xEa+DWo6ekJcU5ki1AddiLTUu78KyeFmPWkyAoWIS4IYT5hvHjxi0zvMp0InwjMOjODGw3mqd5PMfHXiaXBFYD9WfsZ/8t44vPj3cb5O+Fv/vf3/0orFNkVO78e+5Wpf0wlrTCtQnNMzE9k3LJxpcEVgMM5h7n111s5nnu8QmMLIWq3IzlHmPT7pNLgCsCWlC1M/HUiUb5RpXlWiu3FfHvgW348/CMjm4/klS2vkGZJY0afGYQYQ/DT+TGq+Sg+u/IzGvjKlzFRtxWUFPDm1jf5cOeHpdt+LDYLH+78kDe3vklBiecbpfkl+Tzy5yOlwRWAf1P/5YE1D2BVrNUx9fO2LW0b9666t7RamILC6oTV3PbbbaQUpJzl0ULULhJgqcMSsp1bhM5FsK+B3CIbhVZbFc1KCFGbhPuEc0u7W/h86OcsvXopz/R5hh8O/eBxr3aJo4SPdn1Esa24tC21MJWXt7zscewD2Qc4kXfivOd2suqBp2SVNsXG+9vfp7DEe64FIUTdlW/NZ96/8zzmhcguzmZX+i7ahbZzaV91YhVdwrsAMH/nfLpFdOOrq77iu6u/49Huj9LQvyEqVfm3TQtRG2VYMvj2wLce+7498C0Zlgy39nxrPvO2ej6fcopzWHl8ZaXPs7JkWDJ4cfOLHvsS8hPYm7m3mmckRMVIgKWOsljtZBZYzz3A4uNc+p8slYSEuGCoVWrCfMKIMEdgd9jZlLzJ67H/pPzjEvCw2Cyld5Q88VQSsryKbEVsSNrgtf/ftH+93qkTQtRtBSUFbEvf5rV/Z8ZOmgQ0cWvPLMrEpDVhsVkoKCkg3BxOhDkCg1a2E4r6Ibs422tCWofiIKc4x629sKSQ7WnbPTzCaW3iWpebJ7VJsb2Yg9kHvfZvTN5YjbMRouIkwFJHJWQ77z6H+Z3bBUWQ2bkvWRLdCnFh0mv0ZZZmDvcJd8l7olPrMGqMXo+PMked91x0Gl2Zjw83hUsuBSHqKa1aS7gp3Gt/uCnc4xdJX70vVrsVFSqMWu+fTULUVT7ashPIm7QmtzatWkuYT5jXxzTwa+A1QW5N06g0ZSamjvWLrcbZCFFxVR5gyc7OZsGCBUycOJFBgwbRq1cvhg8fzlNPPcXatWur+unrrfgs57L5c17B8l+ARfKwCHFhMmqNjG873mv/re1vdcnaH2IMYWTzkR6PNWlNtA1te95z0al1jG091mv/pPaTpBqIEPVUiCmE29rf5rX/4tiLWZvoep0Y4xtDVlEWdsVO35i+BBmCqnqaQlS7IGMQLYJaeOxrEdSCYKN7xb9gU3CZ59O1La5FrTr3r32Zlky2pm5l9obZPL/hebanbSfLknXO45Ql1BTKuNbjPPZp1Vr6xPSp1OcToqpVWYAlMTGR2267jaioKGbMmIHFYqFTp04MGjSIBg0asHLlSi677DLatGnDl196LiMqvEvItqBWnQqYlJdBq8Fs0JAkW4SEuGBF+kQypdMUl4stFSrGtxlP44DGLscatAZubX8rF0Ve5NLuo/XhnUvfIcLH+2qY8mjo15Anej6BRqVxaR/fdjwdwztWaGwhRO3WI6oHo1uOdmnTqrQ80/sZtqRsocRRUtoeZgrjfz3/xwc7PqBFYAv+1/N/+Bn8qnvKQlS5EFMIL1/8MtFm1yp9Mb4xvHzxywSb3AMsAD0iezCm5RiXNq1Ky4w+M4jxjTnneaRb0pm5YSY3L7uZz/Z+xqd7P+XGn2/khc0veMwDc740ag0jmo/gkthLXNqNGiPzBs6r8HWGENVNpSiKUhUDR0REMH78eCZMmECbNm08HmOxWFiyZAmvv/46o0aN4oEHHqiKqbjIzc0lICCAnJwc/P39q/z5qsqcX/ayeHM8r9/Q+Zwf+9A32xjYMpxnrm539oOFqEb15fys7f5K+IufDv/ElY2v5GjuUeyKnaYBTVl5YiU9onowOG6w22MyLZmkFKawN3MvIaYQmgU2I9wnHK1aW+H5FNoKybBksCt9F1aHlQ6hHQgxheCnly9PtYWcm6Kq5BbnkmZJY33SelSoaODXgF+O/EKXiC746nxJKkiiZVBLQk2hHM09SoQ5ghjfGI+lai9Ucn7WTykFKcTnx3M89zgN/RvSwLdBmVt8wXk+pRelszN9JwaNgTYhbQg1hmLSuW8rOps/jv3B9FXTPfa9OehN+jfof85jliWrKIu0wjR2Z+wmwBBAi+AWhJnCZKuwqHMqfmXsxe7duwkJCSnzGJPJxA033MANN9xARkblRUIvBAlZFkL9zu8DJ8hHLzlYhLhAFZYUsmj3Iv5O/JsfD/9ItDkatUpNQn4CCgr7MvfRM6qn29acYFMwwaZgWoe0rvQ5+Wh98PHzkX3WQlyA/A3+5Jfk88WeL7DYTyXV/uHwD/hofQg1hTK5w2R6x/SmRbDnbRNC1EcR5ggizBF0jeha7sf4G/zxN/h7TBB9LnKtuXy8+2Ov/R/v+pgu4V1cthRXVJAxyLk9Ss5zUcdVWYDlbMGVih5/oYvPKiTUfH4Z84N89LJFSIgLlM1hc6kSlFiQ6NKfX5KP3WGv7mkJIS5gNoeNo3lH3doLbYUczztOuiW9+iclxAXszGuFM+WX5GNX5FpBCE+qLMBypsTERP766y9SU1NxOFxLj02bNq3c48TFxXHs2DG39rvuuos333yzwvOsKxKyLfRuen7LY4PNevYm51byjIQQdYGv3pfLGl3GtjTP5VEHNhyIv97LEvO8ZLDmg0YPPmGgP/clx0KIWio3EUoKnee3ORx01Vehx1fnS4ugFuzP2u+xv3tU92qbixBVoigXLJngsIMxAMy1e4ubv96fQQ0HeT0nL210Kb66ylu9IkR9Ui0BloULFzJ58mT0ej0hISGoVKrSPpVKdU4Blk2bNmG3n4qY7ty5k8suu4zrrruuUudcm1ltDlJzi8+5gtBJQT560vOs2B0KGrXq7A8QQtQbapWayxpdxke7PiLNkubSF2AIYFTzUWg1Z/xpsOTAkdXw2+OQfdz5BazDGLj4EQg498R5QohapDALDv0Bvz8JuQmgNUKnG6H/A+AfffbHV4JgUzCP9XiMib9OxKG43oTrFdXLLdmnEHVKxkFY9rDzPFMUiOwAQ1+GqA6gPb9r+aqmVWu5uunVfLH3C7KKXasGhRhDuLLxlWjUGi+PFuLCVuVlmgGeeOIJnnzySXJycjh69ChHjhwp/Xf48OFzGissLIzIyMjSfz/++CNNmzZlwIABVTT72ic5pwgFCPU9vxwswWY9dkUhPb+4cicmhKgTon2j+XjIx4xqPgqjxoherWdYk2F8euWnnisNHF0NX93sDK4A2K3w78fwxVjIT6neyQshKo+iwMHf4JtbncEVAFsRbP4QFk+E/LSyH1+J2gS3YdGQRXSN6IpapSbYGMw9Xe5hZt+ZXqumCFHrZR+H+VfAweXO8w0geTssHOIMvNRiMX4xLLpyEcObDkev1mPQGBjRbASfXPkJ0b4S9BTCm2pZwVJYWMiYMWNQqys3nmO1Wlm0aBH33Xefy6qY+i4+qxCAsPNcwXKytHNyThER/tW3BFgIUXs08GvAI90f4c6Od6KgEGAIwKT1sOUnNwl+fdzzIElbIesY+EoJRSHqpLwk58oVT46vcwZdfMOqZSomnYn2Ye157ZLXsNgsqFVqQowhcpdc1G37f4MCD4FKewmseh6ueRsMtXerTUP/hvyv5/+4u/PdqFARYAjAqJXvDkKUpVoCLLfeeitff/01jzzySKWOu2TJErKzs5kwYYLXY4qLiykuPrVSIze37uceic+2ABBS0QBLbhEdK21WQpy7+nh+1iVGrfHsF0olhadWrnhyYiPESn6E+kbOzQtEcZ4zt5I3SVshulN1zQZwblU8s4qZcCXnZx1hK4YDv3jvP77WeQ7W4gALgElr8nwDRgjhUbUEWGbPns1VV13FL7/8Qvv27dHpdC79L7/88nmN++GHHzJkyBCio70vU5s9ezbPPPPMeY1fWyVkWQjy0aHXnt+KID+jFq1aRYqUahY1rD6en/WORufcI24rBr9ICG3hTNaXtNXZX005GkT1knPzAqE1gloLDpvnflmdVivJ+VlHqLXg38B7vzkMzsx5JoSo81SKcnJDYNWZMWMGTz75JC1btiQiIsItye2KFSvOecxjx47RpEkTvv32W66++mqvx3mK8sfGxpKTk4O/v5dKGbXc/V9tY0dCNs8Mb3feY9zzxb9c27UBD13RqhJnJsS5qY/nZ12XmHeC+PwkVp1YhY/Oh8saXkqI3Y4jdRcHNCrWZ+0h0hBEv+C2RGxagOGyGRDUqKanLSqZnJsXiOIC+PEe2PG1e1/zK2DwDDiyBrKOQqM+ENmebIOZ5MJkVhxfgUNxMLDhQKLMUQQZg0ofmpifyI60HezM2EmLoBZ0Ce9CpDmydLtPTnEOyQXOMWwOG5c0vIRoc7TkWiknOT/rkKTt8G4/z32jPoS4fpBxAA78Dj7B0PJK8IuqNatasoqySCpIYsXxFahVagbGDiTSHEmgMdDrY4pLikksTGRt4lqO5x6nU3gn2oa0paF/w+qbuBA1qFoCLEFBQbzyyitlbuU5V08//TTvvvsuJ06cQKstf/Q3NzeXgICAOv1H6Pp316FWq5g2sPl5j/H097toG+PPy6M7Vd7EhKig+nB+1mWJefH87+8n2ZSyyaX9zo530jq4NdNWnqr4plFpeLnf8/SO6YdRb67uqYpqJudmPZYTD5+NgZQdp9qaXAK97nImsraXlDZnXvUKb5ck8MX+r1yGGNZkGPd3u58QUwgHsw5yy6+3kF2cXdpv1pn58PIPaRPShuzibN7f/j6f7PnEZYzBcYN5tPujhJhCquRl1mdyftZiRTmw/StY9uCpJLcAHcfCxY/C4lsgYbPrY4a9Du1G1XiQJcOSwStbXmHpoaUu7de2uJa7O93tMSBabCvmn9R/mPrHVKwOa2l7hE8E7132Hk0Cm1T5vIWoadVSRchgMNCnT59KG8/hcLBgwQLGjx9/TsGV+iI+y3LeCW5PCjLrSMqWLUJCCCeH3c6yo7+6BVcA3t72NkHGIAL0p/Ii2BU79//5KOlnlG8UQtQxAQ3gpm9g4q8weDaM/hiGvghfjXcJruAXyT6/QLfgCsAPh39gW9o2soqyeGDNAy7BFYCCkgLuWXkPaYVpHMo+5BZcAfj16K9sSnb//BGiTjMGQMcbYOoWGD4PhrwAd66DwbNgywL34ArAD9MgL7H653qGHek73IIrAIv3L2Zv5l6Pj0kuTOa+Vfe5BFcAUgpTeHb9s6QWplbJXIWoTaolwHLPPffwxhtvVNp4y5cv5/jx40ycOLHSxqwrbHYHyTlF512i+aRgHz3JkoNFCPGfxIIEvtrn/sXppCUHl3Bz25td2myKjX9T/63qqQkhqppfBDTs6Vy10uZqyDjkTHB9Gkurq/j4+K9eh1i4ayG51lwOZR/y2J9SmEKaJY1FexaVOUZ2UfZ5vQQhai2DL4Q0hS43Q4/JENEGbBZnOXRvdrkHNqpTXnEeH+36yGv/wl0LKSgpcGs/nnuc/JJ8j4/ZkrKFnOKcSpujELVVtSz/2LhxIytWrODHH3+kbdu2bkluv/3223Ma7/LLL6cadjbVSsm5RdgVhTC/ipVICzLrSc4pQlGUC6rEtRDCM0VRyLPmee3PLs6mRVALt/asIlnBIkS9Y8l0ayox+JJTnOT1IbnWXEpOX/HiaVibpczPmVxrLjbFS8JdIeoTxeHcPuRNfs2u9ChRSsi1eq9OlWPNocThfr7nWMsOoBTbi8vsF6I+qJYAS2BgICNHjqyOp6r34rOcJZrD/Cq2RSjErMdSYie3yEaASXf2Bwghaj97ifOizF4COpPzrnQZ8q355FpzUVAw6Ux0i+zGyhMrPR47tPFQ7A47Lw14CZtiY/mx5aw8vpIuEV2q4pUIIWqKwwHRXZ1bhYpzYevncOxvzAn/cHHr/uxI3+HxYf1j+uOn98OoMVJkd18hq1FpCDOF0b9BfzYmb/Q4xvCmw1EUhfi8eDQqDSGmEPSaiq3YFaJWsBZAYaYzsGLwB70vNOztLNXsScsrqnd+Z/DX+dMvph/7s/Z77L8k9hL8dH5u7S0CW6BCRd+YvgxpPASDxkBmUSbfHPiG1MJU/PWSI0jUf9USYFmwYEF1PM0FIeFkgKXCOVicFywpuUUSYBGiPshLho3vwcb3nV+KgpvAZc86KxSYAl0OVRSFY7nHeGnzS6xJWINDcTCk0RDu6ngnfyX85XZX6pa2t6DX6Hlp60scyTmCSWviqiZX8c5l7xBljqrGFymEqFIF6bB7Cax+AfJTnGVkL7oN2l6D5ucHGdr/PhYd/oGsM3Iv+en8uK7ldQQaA7mz45288s8rbkOPbD6Sbw9+y9AmQwkxhpBRlOHSf23za2kb0pZJv0/iUPYhTFoTI5uP5Ja2txBhlnLRog7LPAJ/PAN7vgeHHRr2giFznLmO3u3nbDtdeBvnNqIapNVoubbFtXy9/2u3lSwBhgCGNRlWWhXsdIGGQN697F3+SviL2Rtmk1eSR4xvDBPaTqBJQBOifOSaQdR/1ZKD5ciRIxw4cMCt/cCBAxw9erQ6plBvnMgqJNCkQ6+t2H+6kP8CLMk5kodFiDqvIAO+nwZ/vuQMrgBkHoYvb4IDv7lWLsBZQvWmZTexKn4VDsUBwLJjy/jh0I98NOQjLoq8CAC9Ws9t7W6jS3gXpq6YypGcI4Bzmf/X+79m3r/zqu81CiGqltUC69+Gn+53BlcACtJg1WxI3Qt97yVGpeeTIR8xOG4wGpWmtGzroqGLiPGNwaAxMKL5CGb3nU20ORqAMFMYd3e+m+ZBzZm/cz73rLyHty99mysbX4lWpUWFitEtRnNJw0u464+7SnO4WGwWPt3zKfetuo90S3pNvStCVEz2CVgwBHZ9dyqQcnwdfHgZqNRw63Jo0N3ZrvOB7pPhxsXOUs01TK1SM7f/XAY0GIBapUaj0jAwdiBz+8/1GFwBMGgMLN6/mI93f0xeiXM7YEJ+AjM3zORY7jHU6mr56ilEjaqWFSwTJkxg4sSJNG/uWlZ4w4YNfPDBB6xatao6plEvxGdZKrw9CCDIRwIsQtQbeUlwwEvyyd/+B3F9wd/5ZcfusPPD4R88Jpr7eM/HBBmDeL7PLCx2CyrU6DU6Jv52m8eht6ZtJSE/QcqqClEfFKTA2tc99/3zEdy1AUKb0Qh4tvez3N/tflDAX++P+bRS7UHGIK5qehXtQtuxP2s/udZclhxcwra0bQDE58Vzz4p7+OTKT5jeZToAKpWKSb9N8vjU29O3E58XT6gptDJfrRDV49AK59/oM9mKYc1cGPYGjP3SuYVIpQZzKGgrfp1fUSX2Er7Y+wVf7/+aYU2HMbf/XAA2JG9g+srp3NzmZu7oeAdatetXyfSidH479pvHMV//93X6NehHpDmyyucvRE2qlgDLv//+67FMc8+ePZk6dWp1TKHeOJFZSGglBFi0GjWBJh2JOZZKmJUQokYle86JADjvRBefSipZUFLAn/F/ej38+8PfM6L5CBr5Oi+AjuUe40TeCa/Hb03dSoewDuc+ZyFE7VKYAXar5z6HDSyntgX56Hzw0fmUOdy+zH08sOYBj31JhUnkWfNoFtQMcFYeOZp71OtYW1K20Cm8U5nPJ0StYyuGvT967z+yGopznDdAfIKrb17lkGfN4+/Ev8kvyefzvZ/z+d7PXfr/TPiTm9rcRKAh0KX9cPZhr2NmF2eTa82VAIuo96olwKJSqcjLc88an5OTg91u9/AI4c2JrEIuiqucD+Fgs54UKdUsRN3nU8YKEpUKTksSqdPoCDIGAaBVaWke1ByVSsWBrAOUOEoINAS6JJXUqrVo1VpsDs+VPWT1ihD1hM4MMV2hKNtZptmt33ROwwUYAzy2NwtshlFrxKA5dbNIq9aiU+s8ViUBZPWKqJtUWvAtI3+QKRjUtTMPol6jJ8DgPIe1ai0tAp1VBPdn7cem2AgyBKFXuyegPvkYgAZ+DQgyBJGYn1iac+n0816I+qpaAiz9+/dn9uzZfP7552g0zj17drud2bNn07dv3+qYQr1QYneQnFNU4QS3JwWb9SRlS4BFiJqWackksSCRDUkb8NP70SOqB2GmsLPeIS4V3gr0ZucS4zM1vwJ8Tn05MWlNjGszjli/WHpF92Jb2jYcioM7Ot7BjrQdDIodyInsQ6yL/xsfnQ/9Gw5kaOMrWXroe7ehG/o3pG1IW5YfW86ejD00CWxCu9B2xPrGyj5rIWqL4nznSrZDK8GaB40HQGCsM4HtSXlJkJ/sTIptDoWQZrD2DTj2t7O/223OQO3mBc6VLI37Q2BDMrVakvKTWJ+0HrPOTM+onoSZwjDrzTTya4Sfzq80D8PAhgO5tvm17MncQ+OAxuSX5LNg5wKsDit9o/syo88MHvnzERRcc0ZpVVq6RnStrndLiMqj0TiTRP/7ief+PvcCCsRvgiN/OgMujfs7KwCetu3OjbUA8lLgyBpnSfX/zkd8w8kqyiK5IJl1ieswao30ju5NqCkUX73vOU3dV+/LLW1voV1IO7pEdGF72nZUKhV3dbqLjckb6RfTz+M1SqxfLD0ie3Bj6xtJyE8guTCZ61tej1qlZtXxVZh1Zg7nHGZd4jqsdiu9onoRYY4gyBhEuiWdhLwENiVvIsgYRPeo7oSZwjBqjec0dyFqWrUEWObMmUP//v1p2bIl/fr1A+DPP/8kNzeXFStWVMcU6oWk7CIcCoT7V84HTbBZz5F0D1/IhBDVJq0wjf/9/T/WJp4q1ahCxTO9n+HyRpe75Dbwyi8axn4Fi0aB7bSgaXATZ6UCo2spxUa+DVChYsofU1zaRzUfRXx+PA+sebC07eVtb/HJkI/YnbGHA9mnkpVH+kTy0oCXuPW3W0ktTC1t99f7886l79A+rH153wIhRFUpzoOd38GP01yTXTe7DK6eB36RziScn46CtH2n+rVGuOYtUOwQ2gJiusBbPZwlZv+TdvO3PHv0O1bFry5tU6Hi8R6Pc2WTKwnzCWPeoHlM/n0y/Rr0o3tkd6aumMqt7W7ln5R/uG/VfaWPm/fvPK5peg0z+szg8b8fPzUNlZZXLnlFVrCIussvEi5+DFbNcm1vMQTi+sDiiXD0tG27KjWMeA9aXek5yGLNh70/w3eTXc5H4vqTPuodZm952S0HygPdHmBEsxH4G86tRHKzwGasOL6Cu1fc7dJ+Q6sbiAuI8/iYUGMod3a8kzv/uBOL7VQagga+DXj70rdZfnQ5MzfOdHnMVY2v4u4ud/PYn4+xJXVLabtGpeGF/i/QL6YfpnNcQSdETaqWAEubNm3Yvn078+bNY9u2bZhMJsaNG8fUqVMJDq5dew5rsxNZhQCEV0IOFnBWElp3OOPsBwohqoRDcfDD4R9cgisACgpPrn2SjmEdaaJvcvaBNFpo0AOmbIBjayHrGDTsAWGtSpPbnu547hE+2eN+R+2bA9/QLrQd0eZoEgsSASiyF3Hrb5P4dMgnpFky2JSyiQhzBBdFXMQDqx9wCa4A5FpzuXfVvSwYvIBY/9hzeDeEEJUuJwF+uNu9/eDvsONr6DIBfn/SNbgCzkDt0qlw62+g0sA7vV0CNEqDi1ies9cluALOz64ZG2bQJaILzYOa0yGsA99d/R251lxu+OkGfHW+tAhqwYOnBXFPWnJoCX0a9GHewHlsTN5IQ/+G9I7uLXewRd2Wn+JcITb2K4jf6MzLEtsDSophy0euwRVwBk2+mwRTNkFoc/fxcpPgu9vdqgNSlM2fJ1Z7TDD74uYX6R7Z/ZwDLIdyDrH4wGK39s/3fs6ghoM85lJJL05n2sppLsEVgPj8eGZumEmbEPfy0/k2Z56X04MrAHbFzoNrHuT7a76nka7ROc1diJpUbWu4o6OjmTVrFj/99BOLFy/mySeflODKOTqeWYhadarEckUF+xrIK7JRUOw5t4IQomqlW9L5ZLeXpcPAz0d+Lv9gWh0ExUGnsXDJo9B0oMfgiqUol4/3fuZ1mB8O/cDlcZe7tOVac/l8z6dcFHURd3W6i1HNR1FYUsiezD0ex0gpTCGzOLP8cxdCVI3tX3rvW/emc1vQnqWe+0sKnatbDq9y+zKX3nE0Hx35wevQ3x34DnDmbmjg14CNSRtxKA4GNhzIL0d/8fq4T3Z9ggoV29O2k2nJJMY3RoIrou5y2GHTh7BlAXxxAxxYDsfXO1efOIphy3zPj1MU2OPl/Nrzg3twBcjoeB0L93s/37/c9yV2R/nzXuZb81m4c6HX/oW7FlJYUujWHp8bT6411+Nj1ietp2NYR7f2wY0G8/X+rz0+xqE4WBO/pnyTFqKWqLIAy/Hjx8/p+ISEhCqaSf1xIrOQUF8DWk3l/Gc7GahJkkpCQtQIh+Iguyjba39yQXKlP2eJvYjMMp4zqzgLX537Xu2UogzstlMVRorsZedvyrfmn/cchRCVJMd7BTAsmc6qQWV96SpIhcIst2a70Y+sIvf2k1IKU3Cctn0hpTAFALPOXObjsoqz0Gl0bE3byq6MXdgVKYQg6jCHDfIS//v/dkja6sy3Yi1wJpW2eD8XyPVQ2hkgJ95js83gX+a5lWZJO6fzyWq3klnk/UZJZlEmVod71bGs4jJeE3hMmK/X6Cko8Z6y4MyVskLUdlUWYLnooouYPHkymzZt8npMTk4O77//Pu3ateObb76pqqnUG8czCwmrpO1BAKG+zgBLoiS6FaJG+Gh96BLRxWv/xbEXV84T2YohJxGy4zGrDfSLvMjroZ3DO7Mva59b+6DoPmi0p1bPBRoCMWo831lWoZIyjELUBq2uAo0O2o6AUR/A6I+h733ORLaxvZxf8jysdCsV3RkauCeY9U3cTrcyyiYPbDgQterUJWbfGGdBg32Z++gc3tnr47pFdONg9sHSMXS1tMKKEB45HM7tQNknID8VtAbnOag1QIfRcO18uO4j6DUFMg9DA+9/i2l+qef2FoM9Nvslbad7GefWJQ0ucakQeDZ+ej/6xPTx2t83uq/HmzFNA5t6fUyAIcBjgOVo7lHaBLtvHTqpV3Svs8xWiNqlygIsu3fvxmw2c9lllxEZGcnQoUOZNGkSd999NzfddBNdunQhPDyc+fPn88ILLzBt2rSqmkq9cTSjsNIqCAEEmfWokBUsQtQUf4M/93W9z+WLyEkNfBvQPrQSEsXmJMDyp+HNbvBqWzRf3MhVTYfjr3ffi23SmhgcN5iVx1e6tEf4RNDtjKBMmE8YE9pO8PiUw5sOJ8gQVPG5CyEqJraHM/eD3he+vxu+GufMA3H1mzB4Jmz6wBlw8aTxAGfwJaqDM2H2aXz//YxpzcegVbmn8os0R7pV/Wke1JzGAY3ZnLKZbhHdCDQEuj3OqDFyY+sbmffvPMJ9wukVJV+qRB2Snwab3oN3B8Cr7WDhlc5ktE0GOc9BgCV3wuIJkLrHGVy57DlQqdzHCmkKkV7+/ke2d/afwWf7V9zRYbLHoGSYKazMYIknOo2O0S1GY9a5J9r10/kxovkItGr38z/EGMKlDT0Hh+7udDfLjy13a196cCn3d7sfFe7vRdOApjQLbHZOcxeiplVZgCUkJISXX36ZpKQk5s2bR/PmzUlPT+fAAWcVihtvvJEtW7awbt06rrzyyqqaRr1yIrOw0ioIAWjVaoJ89CTIChYhakzTwKYsvGIhrYNbA86qGUMbD+WDwR8QYY6o2OC5SfDpdbD+rVMlnI/9SUx+Dp9c9j59o3uVXtB0j+jGosELCNUH0jK4JeDM4D+44SAWXPYeUWdUDDDrzIxqMYqHL3q4tMJHgCGAOzrewZROUwg2SY4tIWqeAssecpaJLfnvZsrRv+DLm5xbhP79BDIOwlWvQlBjZ7/eDL2mwoh3naWc/aNh3FLoMMa5GgYgMJY4QwgfXbGQtiFtAefnxRVxV7Bg8AK3FWzhPuG8e+m7XNPsGl7a/BKz+82mT3Sf0s+frhFd+XDwh3y2+zP6RPdhwRULiPKNqo43SIiKK8qBFTNg2cPOpLYA6QeceVeKs53Bze1fOVeTKgocWgGfXQe+ETD+J4ho53yMRgcdx8LNS72vLPOPdvZ3HHvqfIxoBzd8SUO/Bnwy5BM6hjrznGhUGi5reBkLr1h4XudTtG80i4YsomdUT8C5OrVPdB8+ufITon09zy/QGMhjPR5jUvtJpStcIs2RzO43myviruCeLvcwMPbUCrfOYZ15ccCLtAluwweXf0DzQGdiX51ax4hmI3j70rcJ9wk/57kLUZNUiuIhU1I9lpubS0BAADk5Ofj7n1s27ZqUYymh4zO/cffAZvRuWnnlCp9cupNOsYHMvc496ZQQ1a2unp+VIasoi/ySfDQqDUHGIEzaSihJeGC5s/zq6eL6Ou+c7fqOvMufJTe0GQrgn3Uc/9+fgq63ktVmKPm2IjRqNYE6f3zM3j9zHA4HCfkJWB1WdGodkebIc1qGLOqGC/ncrNP2/uz8kudJs0HOEszr34aIttB1gvMLX3ATCG0J2jPOY2shFKY7c0kY/JzbjDjjs8sQVGY51SJbEZlFmTgcDrRqLUX2IhQUTFoTCgoOxUGQIQgfnU8lvQEXBjk/a1j6QZjnvpWO8DbOxPO//c/z4zqMcQY3rfnOf2otmEOgPL//JYVQ8N/5qPcF37DSruzibPKseahRE2gM9LgK5VzkWfPIKc5BhQp/vT9+Br+zPsZmt5FelE6JvQSD1uASJCmwFpBdnI2Cgp/OjwBjQGlfhiWDwpJCNGoNIcYQDNrKW7kvRHWpljLNouKOZzgzdUdU4goWgGCznvgs2SIkRE0LMgYRZKzkbTX7PFQhiurkvIOddRS/L8fhdpm0+QOC2o0kKLhBuZ5CrVZLOWYhaqvdS7z3Hf0LOlzv/P8pu+Dn/0ondxgDI991P17vA/qGbs3n8tll1Bq93vkWos7KOOi5PboTHCmjAs6h5VCU9d9qlTDvx3mi84FA9/MRnDnSPG3DO19+ej/89GcPqpxOq9F6zcVm1psx6z0HfUJMIYSYQs55jkLUJtVWpllUzPHM/wIsfpUbYAnzM5CQLQEWIeolTytPSixg/O8Op0oDnW+GrrfAyRUzpsBTy46FEHWbuYyl9cYA56qUM/lVcGuiEBcabys6SizO88wbYyCoNVUyJSFEzZEVLHXEscwCzAYNvsbK/U8WYjaQlGPB4VBQqz0k2hJC1A0OO+QmOO9E58RDVEdofTWsnuN63N4f4dKnSelzD3mB0WxM3oRDcdC9z534F2YTmZviDLKcIcOSQWJBIjvTdxJmCqN1cGsifCLQauTPiBC1VscxsO4NL303eF7h0mFMmUPmWfPILMrkn5R/aOjXEJPOxPa07fjqfOkY3pFQY2jpNiGH4iClIIX9WftJLEikZVBLYv1iCfM5dbc+pyiHNEsa/6T+g1FjpFN4J0JNobJNSNQdQQ2dwZKibNf2g8th5Puw42vPj+s1BTQGSNruTD5tDHJW7fKNBN353VDNLs4m3ZLOPynlP5+KS4pJKkxiV8Yu0grT6BDWgUhz5FlXm6Vb0knMT2RXxi7CTeG0DmlNuE+4x+S3QlxI5AyoI46lFxJZyduDAEL99JTYFdLziys1ga4Qoho57JD4D3wyAorzTrX3fwiGvOBMcnlSfgpJjXryzdGfeW/N3SicSsM1ttVYxrW5mZgzhk8pSOH+1fezLW1baZtRY+TNQW/SJbyLBFmEqK0CYuGyGfD7GTkgYntC44vh79dc2wc9Db7eV73kFOfwxd4veHPrmzzd+2k+2fMJfxz/o7Rfo9LwTO9nuLThpZh0JnZn7Ob2324nr+TU51KzwGa8OehNon2jybBk8Oo/r7Lk4JLSfrVKzRM9n+CKuCvw1buXgRWi1vGNghs+d/4Ntp1WOEJngrAW0O8B+PNF18c0HQTNLoXvbof9v55q1+jg2gXOvjLyGXlS1vk0OG6wx20+xSXFbEnbwvSV07HYTq1obx/anrn95xLjd+YVgVNyQTL3rrqXnek7S9tMWhPvXPoOHcI6SJBFXNBki1AdcTSjoEoCICfLPsfLNiEh6q7cRFg0yjW4ArDmBVCAuzbAwCeh510waSXHi9J4d/u7LsEVgM/2fsa+rP0ubcW2Yt7b/p5LcAWgyF7EXX/cRUphSlW8IiFEZTAFQNfxzs+ASx6HnlNgws9w+XOQG++8u95tIvS+G8Z+CdnHnNWFvDiUfYh5W+fROqQ1mUWZLsEVALti539//4+kwiRSClK4c/mdLsEVgIPZB5m9cTb51nzWJq51+TIIzlUvz6x7hsT8xEp7G4SoUhotxFwEUzbA0Fegx51w3UcwaSUEN3WeX3eugwEPQ6+74dbf4Jq3Yee3rsEVAHuJs5x67rn//q9LWnfO51NSYRL3rLjHJbgCsCN9B+/veJ98a77bYyw2C29ufdMluHKy/Y7ld8h1gbjgVVt48cCBA6xcuZLU1FQcDodL35NPPlld06izjmYU0KtJ5VUPOin0vwBLQpaFLg3PM8FmUQ6sfQOO/u2889V1PDQdWImzFEKUKf2A8zz05LdHYeo/0P9+ALKLsvl0rffP3E92f0K70HalGf8zijLcLthOKrYXszNjp9c7XEKIWsDo7/wX3sr5c34KvHeJc0uhTwhEdgCbxVlNyGFz/h2/5DG3YYpsRXy06yMArmpyFZ/v/dzrUy49uJSrmlxFdnG2x/7VJ1aTZknjw50feh3j6/1f82iPR0vLuQpRq2l1EBQHF0107zMFOv9FtDnVlpsEa1/3PJbicG7n7XNPuZ8+w5LBhzu8n09f7fuKx3o8huaMnC/b07ZTZC/y+JgfD//IhLYT3FaSZRZl8uPhHz0+xmKzsC9zHzG+cl0gLlzVEmB5//33ufPOOwkNDSUyMhKV6lSuD5VKJQGWs7BY7aTkFhMZUPkrWMwGLT56zflXEspLhgVDIC8JYrpByk7nEslutzq3JsjWASGqXn4Zd4scdrAXl/5osVvIsGR4PTyjKINi26njSxwlWB1Wr8enFMidKiHqFLsNClKd/78wAw6vdO3POubxYVa7lVSL83F+er8yP0cS8hMoLPGQQPc/CgrF9mLSLelej0kqSMKu2CXAIuonxe48/7zJjj+n4WwOW5nnZHJhMnbFjgaNW7s3xfZiShwlbu1WuxWbw+b1cWmFaeWYsRD1V7V8+50xYwYzZ87k4Ycfro6nq3eOZhQAEFUFARY4WUnI+4WQV3YbfDHWuS3hqtecZeYUBQ786rwTVlIA17wDKkmeK0Rly7RkUuIoQavWEhLTGQBH55tIvGgCis6MPjeJiD+eg+wTzuR7uUmgOAgy+NMlogvb07d7HLdzWGf89H4kFySjRo1ZZ6aBbwMsNgsjmo+geVBz8q35/HzkZ7akbKF9WPtqfNVCiHJTFGfw1WF3lnT1+W+VqlYPDbrDsb89P6755R6bfXQ+9Izqyc70nRzMPkiHsA6sT1rv8di+MX1LSze3DWnL8KbDCTIGYdKaCPcJR4WKAF0Alza8lG8OfONxjH4x/dCppaKZqGPyUpwrwbRGMJdRblhrgujOkPiv5/6ml5zT05p1ZjqHd2Z90nqGNhlK14iu2Bw2VpxYweoTq+kX0w+9Rk9WURZWuxWNSkOoTyidwjp5HTPaHI1Ja6LYVly6Gi3QEIiP1odwn3AcioORzUfSNLApucW5/HT4J7ambaV1SGvAGWixK3aMGiOBxsBzej1C1GXVEmDJysriuuuuq46nqpeOpjsDLBFVlIQ2zNfAiczzWMGy8T3nH4YhLziDK+AMprS4wpmYa81cCGkG/R+s3AkLcQHLKcphc+pm5v07jyM5R2jk34i7O02h9fR/+SP+TxatfZy0wjTahLRh2tBZtPCJImjzh7DpAyjOw9j8UkZcMZOv939NQUmBy9gGjYGb2tzEzPUzWXFiBUatkWtbXMubg94kPj+e+Tvns3DnQoJNwYxoNoLxbcYT6xdbQ++EEMKr/BTYtcSZxDY/xbnC9PLnwBzh/Nvd8y44vtYZhDmdfzQ07OFxSK1ay8jmI/lsz2csPbiUZ/s8y8bkjTgU123foaZQQk2hJBck88rFr3A09ygf7/6YlIIUWoW0YkLbCaxLXEdSQRJ3d74bX60vH+35yGWMYGMw/Rr0q8x3RIiqVZDuzKeyZi7knICIdnDpMxDT2XOpZnMIXD4TFl7p3hfYyFkJ8Bz46n25p8s9jC4YzVf7v+LJv5/EoDFwReMreGvQW8QFxLE+cT2vbHmF/Vn7ifSNZHKHyXSL6EbLoJbsy9rnNua0LtPQqrXM3DCTX47+Aji3B05sN5E5/eaQXZzNx7s/Zv6O+YSYQhjZfCQT200kzBTGt/u/5f0d75NckEzL4Jbc1+0+Wge39phoV4j6plrWXV533XX89ttv1fFU9dKRjAJ89Br8K7lE80mhfgZOZJ7jCpaiXGf51+aXQ1gr9/7GA5ylHlfOcuZmEUJUWLG9mKWHljJ95XQOZh/Ertg5nHMYtUrLa9veYe6WF0kqSMKm2Nievp3blk9mS84BSN/vXIpst8Len4nd8hnzB8+nc3jn0rHbhbZj/uD5PL/xeX459gtWh5Vcay7zd87n3lX3kmfNY0vKFmyKjdTCVN7d/i7f7F+Mxua+fFgIUYMKM2HZw87qYbkJzrvpJ9bD/MshfgMcWu4sGzvyfQht7nyMSg0thjgT4AY08Dp0tDmaRVcuoklAE5YcWMKcfnNoGtjUOQQq+kT3YUafGczaMIt1ietYE7+G1/55jYT8BGyKjZ3pO3lg9QO0DWlLrjWXm5fdzOWNL2dg7ECXMT664qOzlogVotYoynUGVpbeBVlHnOdc0lb45GrY/xuckXuylDkURrwLwU2cP6vU0HIIXPOWs5rQOVKpVNy36j5WHF+B1WElrySPr/d/zayNs8i35jPp90nsztyNTbERnxfPE38/weL9i3n1klcZ2nhoaeWfSHMks/rOokNoB67/8Xq+O/gdFpsFi83C1/u/5vG/HqfYXsx9q+7j39R/sSk2UgpTeHvb23x/6Ht2ZuzkqXVPEZ8fj02xsStjF7f+eivrE9ejnBnUFaIeqrIVLK+/fipxU7NmzXjiiSdYv3497du3R6dz/dCYNm1aVU2jXjiSVkB0gNEld01lCvczsHJvKg6Hglpdzuf452Ow5jmDKN50vMGZk+W7yXDXejBIuUUhKiLdks4b/77h0mZUG4kwR7Ds6DKPj5m7+SVa9ZtNg13flbbp/pxLG7uVOX1nU2CzoKBg1ppZuHshG5M3uo1xOOcwedY8Gvg1ID7v1L7w1QlrSLakEuQXVUmvUAhRYXlJcNr5XkpRYNVs6Hkn/PwgpO5y5kvzi3KuXAlr6flO+2k0ag3Ng5rz+iWvk2PNQaPW8MYlb3Ao5xA2h41/U//loTUPkV+ST7fIbtz1x10ex3ln+zvc3flunvj7CV7Z8gqz+s7i3q73olFrCDAE4K/3r4x3QojqUZAGG9/13PfrI9CoNwSckfTVku0MhOYlOc9JczioNXB4FXx2vbPscxkl089UZCtiwc4FFNrcb5geyz3G5pTNNA5ozJGcIy5983fOZ2TzkTzW4zEmd5xMib0EH50PUeYo3t/+PplF7lXFBscN5vmNz7tVIgRYfnw5w5sNR6fWueVvmb1xNh3COhBhjij36xKiLqqyAMsrr7zi8rOvry+rV69m9erVLu0qlUoCLGdxOL2AiABTlY0f5meg2OYgPb+4fKWgHQ7nH5K4/s7ouzdqDfSZDt9PgRUzYMjzlTZnIS5EWUVZbtn+24S2YXfGbq+PSSxIJP+MqgEArHuDqB6TIagZ4ExW+9Phn7yOsyFpAx1CO7gEWAA2J22kdfi5LWUWQlSh+M3e+zIPg+9/X27SD8Avjzj/f1RHuHlJuZ8iwBhAwH/BmINZB7l7xd0u/eE+4RzPO+718amFqfhofQDYnLIZq8NKXEBcuZ9fiFol46D7druTCtLBkuUeYLHmw5FVzsf97GEr/Z4foXH/ck8h15rLmvg1XvvXJq6lQ2gHtwCLgsLR3KP0b9Aff8OpwGZWURa/H//d41ihplCO5h71+lz7MvcR6xfL4ZzDLu1pljRyrbkSYBH1XpUFWI4cOXL2g0S5HEnLZ2DrqvswivBzBlWOZxaWL8By7C/IPg49p5z9WL9I6HijMyDT6YZz3lMqhDjl9ISPPlofgo3B2Bw2fHWnVof56/3x1/uTZkmj+L/qQTq1FsxhztxIuYnO5ct6s0sCarVKjUlrItea6/G5zTozeSV5bu2yn1qIWsbg5Zz0DXcm1lR5CLjqfUF9fpeEGrUGtUrtkoul2F5cGkDx5uR2BKPGiApJhi/qMN1pv+vGADAFOXMflfyX39DTdh+VGnRmZ6BFa4ToTs5VLWl7nf2mwHOaglqlxkfnQ0aR50pCPjofiuxFGDVGQk2h5BTnlP5NN2ndb+Jq1BrMOrPX51Kh8riCBZzXC8WnVS88nfY8P2eEqEuq5bf82Wef5YEHHsDHx/WPrcViYe7cuVKmuQzZhVYyC0uIrqIKQuBcwQLOAEu3uOCzP2Dbl+AfA+FtyvcEbYbDoT+cEfqJv0pVIVH/lRQ5L65SdjkvnqI6Or/cmII8Hp6Tn0KGNZvdaTvw1fvSPKgVYT5h6PWuFzdBxiDahrTl+pbXY9KaSMxPJMo3ihZBLWgd1JqJ7SdidVhJt6TTyL8RSflJ/J3wNyaNgdVDZ5BXUkBr/8aEHltHQInVGXT5T7AxmBta3cCr/7zqcY4DYgfw+F+Pu7SpVWo6RnVnW9ImjuUcIcavAQ38YonwjyW5IJnjucdJLkymSUATosxRhJjKqKgghKgcMV2cX+js/y3PbzoQut/u3IpgLwGfEOh7rzMBruJwBlsHz3LmjkjdDb6RENIMh28kKQWJHMs9itVhI8a/EcfzjpNfUkCLoBYU2YpKE1je3/V+5m6eWzqFnOIc/A3+mLQmLDb3JPodwzoS4RPBHR3vIKsoi1CT+2rYtMI0kgqSOJp7lGhzNLF+sXLnW9ROQXEQ1QF63Q0okJfsbCtIc27X8/Gw2tsnFLrdSk6TvqQFRLEnfTf+Bn+a+ccRvvljdO2vc56zWcecK8+Cm0BQI+eWPg9CjCGMbTWWOZvmeOy/svGVpBemc3mjy4nPjyfcFI5KpWLhroU08HXPu+Sv9+fmNjfzb6p7laMtKVvoF9OPNQnuK2a0Ki2N/BuRkJ/g1tcxtCP+en/i8+LZm7kXq91Km5A2hJhC8NP7kV2cTXphOnsy9xBgCKBZYDPCTGHoziMfjRA1qVoCLM888wx33HGHW4ClsLCQZ555RgIsZTiU9l+J5sCq2yJk1GkI9NFxLKMciW5tVtjzA7S8ovyBErUWuk+C3/7n/EPTbmTFJixEbWYthIPL4dvbwHbaHZwu42HgE+Ab5nJ4Rn4ir2x5laWn5VAxaAzM7TOT3tG9MJy2ZDfcJ5yZfWdy94q7OZF3orT9qZ5P8WjPR5m2YlppKUWADqEdmNVvFveufojdmae2EV3Z8FIe7PEAoaddtGjUGoY1HcaK4yvcSjhPaDuBY7nHXL4oqVDxbO9n+XzfF3y+9/NTLzO8Cw93f5i7lt/lcietdXBrXrvkNaJ8JV+LEFXKN8KZwHbxLdDySmg+GL4e7/p51G4UXPUq/PwA3LgYfnnUWVXoP44Oo9nbdyqTV0ylfWh7Lo+7nPt+GuNyV/rShpcyIHYAw5cM586Od3Jv13t5Zcup7eGLdi9iZt+ZPLj6QeyKvbQ92BjMHR3vYMofU+gQ1oGHLnoIH53r9WFCXgJTVkzhUPah0rYInwjeu+w9mgQ2qcQ3S4hK4BcFw1535k7JTznVHtEORn/kuVyzVk96z9t5YctLLPt7eWmzUWPklX7Pc5HWiGH+EGfg86SgxnDzt6eS4p5GpVJxSewl/HL0F7albXPpG9dmHE0CmvDGv2+wP2t/aXuoKZR5A+cR5hN25nAAdA7vzKCGg/jj+B8u7fnWfB686EH2Ze0jpfDU61WhYna/2fjr/NGqtNgU26mpG4KY2Xcma+LX8Oy6Z136JrSdwNhWY5m7aa7LtiST1sRrl7xG14iu6DV6j3MUojZSKdWQzlmtVpOSkkJYmOsJvGLFCq6//nrS0tKqegqlcnNzCQgIICcnB3//2p9E7avNJ3ho8XYWTLgIo87Dst5K8vT3u2gT7c8r13cq+8CDy2HRKOcfEg8f8GVa8Zxze8LdW0BrOO+5ivqrrp2fHqXvhzd7OO8Mn2n4G9BlXOmPisPB13sW8dxpd35P0qg0LLnqa+KCm5e2ZRZlcufvd7oESwDm9p/LzA0zXYIrJ13R6ArMejPfHPjGpf2hix7iptY3uSXPTitM42D2QX4+8jN+Oj+GNx1OlG8UluIctqVuZXXiWqJ9wrmiyVX8evR33tnxjsvjZ/WdxStbXiHN4v65fknsJczqOwtfvSS8rmvqxbl5IbEWOP/eWrJg/mDPn0eDZzkrlvz5Cvz7sUtX0l1rGb3iDnKKc3hr0FtMXTHVJUhy0p0d72Rd4jq2pm3lvcveI6c4h1UnVhFhjmBok6GEmcLItebyy9FfOJJ9hJbBLWnk34iXt7zMsdxjAEztNJWJ7SaW3qXOKc7hvlX3eUy43cCvAR9d8RHhPuVP/nkhkPOzhuUmwgeXOqt2nan55TDqQzC6/ndx2G0s2jmfuVvfcHuIVqVl6dAvaPhGd/fxIjs4gyxm96DIz4d/pqCkAIPWwPrE9Rg0BvrE9EGlUrF4/2L+SvjL7TERPhF8duVnhJs9n1OZlkyO5R3jh4M/oFKpGNZ0GA39GxJsDCYpP4mtaVv5K+EvYnxjGNJ4CJHmSNQqNckFyfx+7HcOZx+mR1QPukd2J9eay7U/XOvxeZ7v9zzzts5zy/OmVWv5/prvifWL9fg4IWqjKl3BEhQUhEqlQqVS0aJFC5cLebvdTn5+PnfccUdVTqHOO5SWT7ifoUqDK+CsJHQ0o+DsB+77xXl3LKjxuT9J1wmwdCps+gB6lSN/ixB10favPX+ZAfjrFWgxuDTJZHp+Ah/sWeTxULti57ejv3D7GQGWM4Mr/np/iu3FHoMr4Mzo/+LFL7oFWBbsXMDguMFuX1TCfMII8wmjV3Qvl/YAQwCR/g0Z3Gw4AEcy97kFV0xaE1q11mNwBWB1/GoyizIlwCJEVdObnSWYV83x/nm04V1naebtX7i2B8VxzJJCdnE2HcM6siV1i8fgCsA3B77hjg53sDVtKwt2LeDlAS9zReMrXIczBhHrG8vujN0sPbTUZVUKwKd7PuXKJleWfoHKKsryGFwBiM+LJ92SLgEWUbvkJHgOrgAc/N25VeiMAEt6QRLz937m8SE2xcbq+NXc3GksbD3jmOTtzsS5ZwRYkvKTmL9zPvuy9hFiDKFDWAeyirN47K/HmNN/Dn8n/O3xuVIKU0guTPYaYAk2BRNsCqZzeGe3vijfKKJ8oxjSeIhbXyP/RtzW/rZTr8lh470d73l8DoBFexZxVeOreGe763WFzWFjbeJarm95vdfHClHbVGmA5dVXX0VRFCZOnMgzzzxDQMCp8n96vZ64uDh69epVxgjiUGo+0YFVl3/lpHB/I7v2pZZ9kKLA/mUQ0+388qgExELzy2DNXOh8s9sfGyHqhYyD3vvyksB+almsQ1FIK/S+gu9YQaLLz55yGfgb/L0mtQPnhZrd4f7lKM2S5pKU8lxZStznYtaZvQZ6AByKw60KkhCiCmUc8N6XlwSKHexW1/aA2NJl/4GGwDI/o9IK0wgwOK/tUgpSKLYX44t7APWf1H9YcXyFxzGyirNcPos8fc6dLqc4p8x+IapdYbr3PkU5lez2NA7FUebf7mP5ic58h55Y3W+I2hw2Ugud1/EZRRmsPLGytK/EXuI1IS04g5pVrcReQkKelyAUrp8lZzp9S7QQdUGVBljGjx8PQOPGjenduzc6nSQpOlcHUvNpE1X1gYjIACOZBVbyikrwM3r575RxCHLiodut5/9EHcbAoRWw/i24+JHzH0eI2iQ/1Zk80hgATQfBrm89HxfdBfSncg0YNAbaBLdme8YOj4f3Cu/m8nOAPsCtWkdaYRoN/Rp6nVqAIYASR4lbe5vgNhg0579Vz9/gj1atxeY4FTDKLsom0hwJQOOAxgxvOpwgQxDH846z9OBSLDaLS8UjIUQVu2iSs9Rr2l7nnXDLaV+kojs7K4v5RrjmjSjMpF1EF57p/QwWmwUVKpYeWupx+NYhrUvLtXYO7+xyfucU5VBkL0Kv0dMvph9f7vvS4xjNA5ujV5/Kr+Cn90Ov1mN1WD0ef/IzRohaI6iR839Dm0PHG8AcDpmHYOunUJzv8YaiQa2nZVBL9mXt8zhkj/DO8Pf77h0qNfi4F6Qw68y0DWnLxuSNXB53OV0jumJz2FhxYgUqlcprwmmAGD8vgZwKyrBkYHPYMGlN+On96B7VnXVJ6zwe2yakDUdyPVeg7RbRzWO7ELWVujqepHPnzlgsFnJzc13+5eXlYbV6/gMqoNhm50RmITFBVZfg9qTI/8ozl5no9tAKZ8LaiHbn/0TmUGfSvbVvQGHmOT20sKSQT/d8yvSV05m+cjpf7v2SIpvcDRc1KD8V/l0EC4bA271g8QSI7e5xbzQqFVz6tEsloUDfCO7rMs3j0CHGELpGul5UhJhCGNncNUl0sb2Y5IJk2oe29zjOhDYTWHrQ/cvRfd3uI8jouapReYSYQhnb3HUvtU2xcTj7MLP6zuKGVjfw8+GfeWnzS2xP287jPR/n2T7PEmbynExPCFGJ8lOdAZXvpzgTzKfugWvedv79Pan33fDPIrjxm9I75bm972btoAd5Yt0zzN00lx8O/UDn8M5et+SMbzueb/Z/g06tY3zb8Ri0BvKseWxM2siUFVMYsXQEd/x+Bw7Fwb1d7/U4xrQu01ySX4eaQrmx9Y0ejx0YO5BgYzmqHQpRncwRMPI96D4Zdn4Dvz0OJzbAkLlw9bzSbcGnC/KL4oHOnv/+R/hE0D6kDRz9072z040erzGCTcHc0+Ue3hjkzOny6j+v8v6O92ke2JwInwjGtxnv8bl6R/cmxFi5Ff4yLZn8cuQXJv02iRFLR3DvqnvZnr6dIXFDPN5k0ag0TGo/iZ8O/+TWF2WOonVw60qdnxBVrVoCLIGBgQQFBbn9CwwMxGQy0ahRI5566ikcjvNfrl4fHUkvwKFATBVWEDop8r8y0EfSy8jDcmQVhLVy3vGqiHajwGGDdW+W+yEHsw5y3Q/X8cKmF0jKTyIhP4FZG2Zx3Q/XcTj7cMXmI8T5KMyE356ApVOc24KKcuDA7/DlWLj5O2jU99SxgY3ghq88ljZvFdSCNwa8RJT51BeM7hHd+OjyD4gKaORyrFlnZkrHKdzS7hZMWud5aNQYiTRH8vBFDzO40WC0KufCRH+9P1M6TaFPTG+ifE5d3EWaI3mtxxO0NXgoG3kOTAZ/Jra9hTvaTsRH61yVo1friTSFsTdzL7M2zOJA9gHySvLYnLKZ+1bdh06lQ6uuluJ1Qly4CjNh+dOw5E5IP+D8bDq0Ar4YC+2vda5oufpNZ0XA1bPh8+vhhs8paTuCX8MbMnn9k+xI30F+ST67MnYxfeV0Xr34VXpE9ih9ikhzJE/1eop1ievw0fmwYPACGvg2wGa38cfxP7j1t1vZlraNvJI8dmfuZtrKaaDAXR3vKh0jwieC5/s9T7tQ15s2Rq2R8W3Hc1fHu1w+W0a3HM3jPR/3uo1AiBqj1UPKHmdVrpRdznPu2Fpn9S6VFrxUwGnrG8srfWcTcdrf6F6RPZg/6C0itX7OIOjJa26dyfnzwCfA4OdxPKPWyIOrH+THwz+SU5xDamEqH+/+mKfXPs01za9hWudppQEOrVrLyOYjea7PcxW62XKmfGs+83fO58E1D5ZeA2xM3shNP9/EgewDfD70c5dzvpF/I96//H0a+DXg2d7PlgZzVajoG92XDwd/KOXZRZ1TLVWEPv74Yx5//HEmTJhA9+7OjNgbN27ko48+4n//+x9paWm8+OKLPPjggzz22GNVOpe6lGn9h22J3P35v7x3c1fv23Yq0eRPNnNbvyZMG9TcvdPhgBfinHe/Onm+s3RONs+HA7/B9B0elzqe7mjOUcYtG4ev3pc7O95Zujw4MT+Rt7e9TWFJIQuvWCilG+uBunR+krLbuWrFk4a9YNR8sFmcW4dMAc4yjmVIzT1BnjUPrVpHkCEQf0+rYP5jtVtJs6RhsVkwaU0U24oZ/eNohjUZRp+YPjgUByWOEpYeWsqJvBPM7/ooJSWFlDhs+FmyCd/wAfhGwqj3vV6olVdJiYW0gmQKbYWYtCZKVGqGLxnucb93hE8Enw791OViUtQNdercvNCl7oG3enruC23hrGb284POZJknXTaDxHbDuebH6zxuI4gwRbDgigU4FAc2xYZRY0SFimJHMf56f0JMzjvgSflJjPx+JPkl+W5j6NQ6vrv6O0ocJZTYS/DV+xJjjkGt9nyvr8ReQpolzfnZojERagrFIBUIPZLzs4ZlHoY3unpOKO0bAbevAv9o1/aiXPhmIoopmNRed5CvVqFT6wnKPILfL4/D1W9Bg27O7XvWAmfiat8Ir1U4i23FvLDpBb7a/5XH/pcGvMTA2IGkWdIosBVg1BgJMYWU3qypLMdyjzHsu2FerwE+u/IzdBodOcU52BU7AYYAQk3OGz6KopBamEp+ST46tY4gQxB+FbxGEaImVMutxI8++oiXXnqJ0aNHl7YNGzaM9u3b8+677/LHH3/QsGFDZs6cWeUBlrrkQGo+gT66agmugHMVy1FvK1hS/4vIR3rehnDO2o6EfT85qxhc8qjXwwpLCpm+cjpGrZEHuj2An/7UB220bzQPX/QwczbN4e4Vd/PFVV+49AtRpY573kdc2mcrhJBm5R4u3D+W8tbF0Gv0xPie2jP946EfKbYXs/jAYhYfWOx2vMWaT5NPb3BtVGucF3gVvHjR6UxEB56qKrbi+AqvyfRSClPILc6VAIsQVemE5wo8gLOMfH6Ka3AFYOdiMlsM8JqjIcWSQlZxFh3COpT51FnFWR6DKwAljhIyLBl0iehS5hgn6TQ6on2jz36gEDUt/YD3al35Kc7cR2cGWIpz4eAfqBQHEdu/xO2v4p7vIa4PBHrPsXa67OJs/jj+h9f+Hw7/wMWxF7tsx6sKB7MOlnkNkGPNoXlQc4+rZlQqFRHmCCLc3w0h6pRq2SK0du1aOnd2L+/VuXNn1q1zfknp27cvx48fr47p1BkHUvJoUA3bg06K9DdyKN3zhRHH1oFaB6EtK+fJTIHQ/ApY/7bzS54X87bO40TeCe7qdJfH4Imv3pepnaaSbkln1oZZlTM3IcpDb/bep1KBqmpLq5/ubHegNCoPH/Va4/lVAzsLo6bsqmeyRUiIKlbWZxM4k2SW/n8V+ISAT0jp9sIzGTVGQowh6NRnv9mjOcvnnt7LVgkh6rSzbZ33+HdP7XU1CgDneMNQrVJj1J76+xtoCHTJd+Kj9UHt6Vqgkp0+B0806uq7NhKiplTLlW5sbCwffvghzz//vEv7hx9+SGxsLAAZGRkEBVXeHsD6YF9yHs0jqm9FRlSAiX9PZKMoCqozv3idWO/Mjl6Zy3PbjnCuYtmyAPrc49a9N3Mvn+75lFHNR7ncrT9ThDmCMa3GMH/nfK5sfCX9GvSrvDkK4U1sd+cXFU93rZoOOuvWt/LIKsoioyiDYznHCDYFE22OJtwn3O38bBnc0q2iz0mdwzoRGP+PW3vRZTNJV6wcPfYHDsVBk8CmBBuD8TEGVmjOjQIaYdQYPZZjbh3cmkB9xcYXQuBcUVqQBmn7weALQY2d2xA1Wojp6lyh5qE8O437Q/wmZ2DloknQ/HLIOQ4BDQnSGInwiSgt0dzIvxGTO0xGp3Yu51epVGQVZZWZryHIGESMbwwJ+e7lWAMNgfjr/dmUtIm8kjyaBDQh2BiMv0G2tIg6pDDTee6lH3D+nQ9sCEFxzsCmh/LJRLTFavQnLfswx3OPUWwroklQc0L0fpg73gibP/D8PO1GnNO0QkwhjG4xmuN5xxnUcBBJBUkYNAb89H58sfcLrm95fbXc4IgLiPN6DdAmpA1BBvmuJ+q/agmwvPjii1x33XUsW7aMiy66CIDNmzezd+9eFi92LmfftGkT119/fXVMp04oKrFzLKOQga3Lu2mg4qICjeQV2cgosBLqe0Yg5dhaZ16JymQOhaYDnclue9zhFrx5efPLRPhEcFmjy846VJ/oPqxLXMecjXPoGdUTnUZKgosqZo5w5jJYOsW13TccrpjjLNlcAamFqTy19in+SvirtC3UFMo7l75Di6AWLkGWUFMos3o/y8N/Pe6yNDfQEMjTXe4l4JPRLmPnDXiA3/19mfH9yNISzlqVlvs6TeHqpsPxN5//506YKYw5/edw76p7XcpJ++n8mNF3BkEmubgSokLy02DlLNgy/1SbwR+uX+T8O+0bAcPnOZPcns4cCgMegS9vdH5GJe+Az66D/1Lxhcd05cUrZ3LbyruJMkfx0EUP8fS6p0ktTC0dold0L57r85zXbX7hPuHMHTCXW3+91WW7kVat5fl+z/P030+zKXVTafvIZiOZ1mVaaQ4XIWq1vGT46X7Y++OpNnMojP8BRr4PX93sGtg0+GO5dgF/pf7LY+ueKg06qFVqbmt9Mzf1u4egwyucOVxO1//h0spe5aVWqbmi8RV8svsTpq6YWvr316gx8r+e/6Ohb/m2GlWUt2sAf70/M/rMqNSEukLUVtWS5BbgyJEjvPvuu+zfvx+Ali1bMnnyZOLi4qrj6UvVlURguxNzufL1P3lmeFtaVNMqlhOZhTz0zXa+mtyL7o1Pu/uekwCvtIFLHq/8IEtOvPMicPjr0GVcafOm5E1M/HUiUzpNoWtE13INFZ8Xz9Nrn+ah7g95LfEoare6cn6WKs533v395xPIPu68G9x0IATGVmjYIlsRczfP5at97snqAg2BfDXsK5eqQ2QepnDdPJLaXMV3yWs5UZRG78BW9PNvTnSJFYx+zpKtxXnQdBC7GnZmzLKbPT73wkvfo2tMxc7zIlsRSQVJLD24lCM5R+ge1Z2LYy8m2hztvjpO1Al17tysrxTFmST+p/vc+zR6mLIBgpv899l04r/PpmPQ/DLnZ5PO7Pz5xEb45WG3IWxx/Ugc9iKZJflMX/0AGUUZbseMbD6SR7o/4nVros1hI6kgid+O/sb2tO20DG7J4LjBvLTpJf5MdC87+/BFDzO29dhq2b5QX8n5WQ1sVljxHKx93b3PGAA3fA3WXDi43HnuRbSFBj04FBTDyJ/HuAQbTnq9/1wuCevqLMe861vndr2ut0BQIziPmxErjq/gnpXuK8LVKjXfDv+WpoFNz3nM82EpsZBU6LwGOJpzVK4BxAWn2jbDN27c2G2LkPBuX4ozL0mDoGrMwRJgRK2CQ2n5rgGW+P8S5oW1qvwnDWgADXvC369Dp5vgv2oC721/j4Z+DekSXr5keAAN/BrQK7oX725/lxHNRuCj86n8+QpxOoOvs/TyFbPBbnMuz68EGZYMlhxY4rEvuzibIzlHXAMsGYfw2fQhTf/5mAcaD8DmE4z2wJeQ+C9odDBplTPXkc5EscGPj3d/4vW539+9gFbBLTGbzn+Lk1FrpHFAY6Z3nY7NYZO8K0JUlvwU+PMlz312K+z/FXre+d9nU2u4Ypb7Z5PDBhve8TiE9uifNNyxlORGXTwGVwC+P/Q9k9pPooFfA89jqLXE+sVya/tbS8//r/d97TG4AvDBjg+4PO7y0vKsQtRK+Smw+UPPfUU5kLoT/nrFuZ3eHAqHVuJQqfkmY4PH4ArAOzsX0GlAO4LajYQ2w525284zAJFVlMU72zyf1w7FwTcHvuGBbg9USyDTpDPRJKAJ93a9V64BxAWp2n7js7Oz2bhxI6mpqTgcrh8048aN8/KoC9fe5DzC/Qz46KvvQ0mnURPhb+RQ6hmJbuM3O0u6VtXS/rYjYNlDzqh/i8vZnbGb9UnruaPDHecc6b662dWs/3M9X+//mvFtx1fNfIXwpJKCKwDF9mKsDqvX/sT8RNeGnBPO/7WXwMHlrh/s9hJnuej/ljQXt72aEwVJZYydTFGJBXMlxXblwkqISuSwQa57fpNSaXvd2878bHLYIDfe+xhFWSSV8Rlhc9gothefZaJOJ8//wzmHvR6TUZThMX+UELWK3eo5x8pJuYnO6+RDK0qbSrqM42jmeq8PSSpIKt2m6zkRbvmV2EtILkj22n805ygl9pJqL3Uu1wDiQlQtv/U//PADN954I/n5+fj7+7t8aVapVOccYElISODhhx9m2bJlFBYW0qxZMxYsWEC3bt0qe+o1Zm9SXrWuXjkpKsDIQbcAyyZnRL6qhLV2Vida+wa0uJxP93xKiDGk3FuDThdqCqVXdC8W7lrImFZjMGiq9w+JuDBl5Tsvknx1/viYAis8nklrIsAQQE5xjsf+5oHNwZIDJYXO6gURZZRONQY48zMMehJ0JkwOhY7BrdmRvoOeUT3pE9MHFSrWJ63n74S/aRfcCnMFSzeXKswEezHofStcDloIgbP6V0RbSNnluT+u79nH0Oghoj0kuie/BiCkOe3CO/FI90dILkjmh0M/uKxm8dP5OauF5SUD/1UhOkuAuXN4ZxbtWeSxr3FAY/lbLWpOYYYzeKL3B0MZFbh0JmeOtfxUz/2hzd1WuBiSd9Atqh1/JnhevdUmuBUmrYni4nxyizJRqzWE+J2ReyUvFUoKnNv7/Lyv8jJpTbQOac2GpA1cHHsxXSO6UuIoYeXxlWxN28pFkRdVe3BFiAtVtQRY7r//fiZOnMisWbPw8anYto2srCz69OnDJZdcwrJlywgLC+PAgQP1rgLRnqRcejet/qRv0YEm/j2efarBboOkbdCpCnOaqFTOpZFr5pJzfC3LjizjmmbXnHcptyGNh/B3wt/8fPhnRjQ/tyzsQpyLzLwkNqds4oM9i8goyqBLaAcmd7idhn4N0f+fvfMOj6pK//hneslkJsmk9wRI6L03RRRRUawoiAUVde3ddd217c+2rooVVyyI2AG7ItgQkU5CSQgllPReZjKZPvP740JCMjMB0gP38zx5JPfce+7JOOeW97zv93s8q9QWiNRGcsvgW/jP5v/4tPUJ6UOcTCOI6VXsAWMfOOMhOOtfQn34schVMOcLYUVtx+dgN6PoNYXZk+9jbPxktpZu5bM9n+H1ejkz4Uyu7ns1cUFRqNvq6lFfJWS+/fG8oOEUOwzOeFh4AG3D5yIictoTFA7nPAVLL/PTFiGU3LZE1QHI/gbG3wnL5vk01024k72x/VmY8Sq5tQdI0ifx8OiHySzL5OOcjwGY028Oaw7/wkRDb+L+eAlZzDBBQ60F7alBEYMI14RTYa3wabtvxH2iyK1I52Mph0Pr4M+XhKBJ4jjhXhqW6t8xUxctaBF+66txQliqsJBhrW66fdPbTLt7K2/vXoLF2TT7RYKEO4b8jRqXlXczXuPPko3olDqu7TOLyQlnEC5RQFk2/PFfqNwn3OsnPyCU/ul8RaaDVcHcN+I+KqwV/JL3C0uyl6CSqZiePJ15A+eRHprelk9LRETkJOgUkdugoCB27txJampqm/v6+9//zrp161i71n80+Hj0BCGwKouD4f9ezV1n9WFcJwdZft9Txtt/HCD7qelolDLBZeCtiYLjQNSAjjuxxwXLb2JvZG+ulJXx4hkvEqxs/Yr3q9texeww8+XML0VBrR5ET5ifR6mtK+WVzNf4IvfrJtvlUjmLz1nEkOi2ZdRVWav4cv+XLNq5CIvTggQJk+Im8ujQu4h9d7rvg9yMBUIw48//CkKYSh1c9RGse6VJyjJA8c2/cPPGJzlkOtRke3RQNIvPfZ+4ANoKJ4S9ThABXPN80+0SKVy9DHpPbX3fIl1GT5qbpzyVuUJJ7R//AcuRgEXcCCHwEtEPggI8N1QdgA8vgepDgpBm9ED4/TnhRRNwjbqJH/qM59H1T/gceu+Ie9letp1kQ7LgErL5eYIUQXw84TlSP7paKI2Y92OLQZZDtYf417p/kVmeCQiC3Q+MfIApCVNEq+Y2Is7Pk8RaDT8/CVvfb7pdpoDrf4CE0f6Ps1TCzs/h92cF3RWA1Clw4SsgV8LKf0D2V+D1CBkvY/6Ge+zt7LMW8ej6J9lbLRh9RGmjeGzUwySH9OKK72dT76pvcpoJMeN4uv9NGN/x46J5wUswZDYofRes80x5zP1hLtX2ps8H/cP689rU10SdIxGRTqJTMljOPfdctmzZ0i4Blm+++YZzzz2XK664gjVr1hAXF8dtt93G/Pnz22Gk3YOcYkHgNjGs80Va40M1eBGEbgfGGaBwm/BiFNbByuNSOd6+55Oc8SFnjLiwTcEVgHOTz+X5zc+zoXgD42Lb2flIRASosFf7BFdA0Cf496bneHvKq4QFx7a6/zBNGNf2v5bzUs6jzlGHSq4iDDnBi6b6BlcAVj0Kt/4Jgy4TSoc0oWAq9gmuEDOUP0u3+gRXAEosJaw89BPXD7i+1RlkWMrgjxd8t3s9wsrfTashOMa3XURE5PjY6+Dnx4XAyrnPgEwllOeUZgkZKVcsgSA/9zyPB7K+EoIrILxYJoyGaf8GuQaCYygzRPHM91f5Pe1b299iyXlLWLh9Ie/tEuyhLU4Lb+xfwb+Hzka7aRHsWg7j72oQq29OsiGZ16e+TpWtCqfbiV6lJ0IT0fprjYhIazGX+gZXQNAs+/4+uOYrIVusOUFGGHUT9J0hBFgUatCGw9HS4Iteg6n/Ake9UBYbHI1MrqKvLpxFZyyg2mnG43WjVwajU4bwj7/+6RNcAVhXvJ68lJkY1SFgq2nauPoxSD0DjL2bbLa77Xy0+yOf4ApAdlU2uyp2cVbiWSf08YiIiLSNTgmwXHDBBTz44INkZ2czaNAgFApFk/aLLrrohPs6cOAACxcu5L777uMf//gHmzdv5q677kKpVHLddb6ipna7Hbu9UYzNZDK1/g/pJLKLTajkUmIM6k4/d2yIoPuyr8wsBFiKMiAkUbiJdDAHIvuQ4PVyjR38662fOGmhaSQEJ/BJzidigKUb0xPn51G2lmwK2Laneg8mZx2t9+ERUMgUxOqOCdIUZoA5gPikwyKU5sQfkzmzwddRwJwyiW9L1gU853cHvuOSPpcQpm7l6Mv3CMEUf9TmC8EhMcDS7enJc/OUxlYDe34Usj7z1vu271oBSX7ueeYSyG4WEM7fJPwAxA6j6uJXfcoYjmJ1Wck35/NrXtOA7a+Fa3lw1ONCgGXn5zBsrv8X0yMYVAYMKkNLf6HICSDOzzbib+4cpWSnMM8CfY9liiOZWn6ytVQ64ccPYYaEJs8EJbV5rCn8M+AwVpVtZljcCMj9pWmDo04IsDYLsNTaall1eFXA/r7a/xWT4iehkCoC7iMiItI+dEqA5Wh2yVNPPeXTJpFIcLvdJ9yXx+Nh5MiRPPPMMwAMGzaMXbt28dZbb/kNsDz77LM8+eSTrRx515BdbCIhVINU2vmlLVqlnHCdkn2lR4Rui7ZBWO+WD2on1lZsp19QMEMPrGfHuNuhDataEomEKQlTWLp7KUV1RU1fUkW6DT1xfh5FJVW22C6TdMCqbICV4cb2Zpd0P3XkUrejyQOWQqpAgqTBtUgpVSKlDTaOsuM8vHXE5yLS7vTkuXlqIxHmWCDXHUUAcXyptOW5KVMiO871pbm9q0KqQCvXIvG4G/qgEyxgRcT52WaOJ/baSfcpuVQe8B1ILVXAUYeh5vhx5pFIJE3u7SqZCrfX3eDQpZKpkCCWzIuIdAadEmBpbsvcFmJiYujfv3+Tbf369WP58uV+93/kkUe47777Gn43mUwkJASuEe4OZBeZSAjrOiHIuBANe0vN4LJDaTaMvKHDz+nwONlUshl9wnDG5Kwh5PAGalImtKnPsTFj+WLvFyzft5w7h93ZTiMVaU964vw8yrDokUiQ4MVXxmpM9CgMyg6og9dGBHYx0BoFkctjGXS5oIdyDEF7VzH77AeRSWVcmX4ldrcdr9eLVq5lxf4VnJVwFiHqEN/+rbWCVkNtAaj1EBwNej+BS2Mf4eHV5cfGNbI/aNua1yPSGfTkuXlKE2QU9Be2vOe/feAlwn27rkQQ5dRFCivxwdEw/DrBFdAfw68jTBMRUIg2VBWK1WkFYHzseGalz8LutqORqXFKtdjTz0fVd4Y4vzsJcX62kYSxgsGCPxnKlDOEEtsOJlQdxoykc1l+4Bu/7edGj4FfXvVtCIoQ7vfNCFOHcXmfy8mtzeX8lPMxOUwopAqkEilLdy9lVvos0TJZRKST6PSZZrPZUKtbX24yYcIE9uzZ02Tb3r17SUpK8ru/SqVCpeo5tmR2l5v9ZXWdLm57LHGhWnYW1EDZbiF6buz4DJad5TuwuqxExU/AWnqIyF1ftTnAoparGRszlhX7VnDrkFvFtMhuSE+bn8cSrg7j78Pv5dltLzXZblAZ+Meoh9E3D3a0B8HRcNl7sPQSoVb8KFI5XPau0N5kMAkw9m+wYWHjtuqDDApOpjpRySNrH8HqEl6aVDIVdw67g3HRfsT96kph1eOw45PGbfo4mPO5IH59rJC0Lgpmvgkrbmr68KoMgkve8g0CiXRLevLcPKWRq2HivYLIbU1e07bRt0LeRlj5cOO2uJFwxWKhpCFlsuCU0rw8InE8JE8iUhvJfyY+y82//K1h1RtALpHz2LjHeGfnO1zU6yIGhg/0uXY8MuQOpiVPQTRj7xzE+dlGdJGCecOPDzXdrgmF819o1FTpQFQqHfMHz2dd6SZKLCVN2q5Ln0OMJgK8zbJbZAq4eKFwb2+GTCpjRur5LN/3Jff8fk/DHNYpdDw+7jFS9f7fk0RERNqfTnERcrvdPPPMM7z11luUlpayd+9eUlNT+de//kVycjI33njjCfe1efNmxo8fz5NPPsmsWbPYtGkT8+fP5+233+bqq49vJdzdldZ3FdYy47U/efKiAaRFdc2jym97ylj0xwGyLylHs/Je4SVK3rEaLK9nvkFhXSHX9b8Wff5WYjM/YcdVi7GHtMHNBEFR/Yn1T/DKlFdEca8eQHefn80x11eQX1fAp3u+oMRWzsTIkUxNnkZscCKS45XztBaXQ3ixyvhQsFCPHiisTIck+k97rq+Ein2w8X+CKN+gK8iJG8gVP8zx2/2H095jaMyoxg1uJ6z5j+BY0hxNKNyy1tc5xGGB6sOw5V3B8SRpgpBNE5LYptI/ka6jp83NU57aAsj9DbK+BLUBRs8X9I++u8d33+RJMGuJkF1SfVi4bmQuFdqGzBFs1EOToL4Kx9oXKUo/h6+K/yTbnEe6Lp5LYydjcNjJN0RidduZv9q/qcDS85cyJGJIx/3NIgER52crsJkEZ63N74CpEHpNhX4XCfezznKfzP6W4sg+rC/dwk9FazEogpnd51JS7DZCjOnCPXvbEijPgYi+R+zQEwPqvKw9/Au3/X6Pz3aZRMaXMz4jJUy0ahYR6Qw6JYPl6aef5oMPPuA///lPE7efgQMHsmDBgpMKsIwaNYovv/ySRx55hKeeeoqUlBQWLFhwQsGVnkB2kQkJXeMgdJSEUC1eYP/BAwwyJHZ4cMXqsrKjfDsT4yYCYI4djCv7GyKzvyV//N/a1HeiPpFUQyrL9i4TAywi7U6wNpz+2nAeC+uP02VDrdR1XGDlKHIlhPeGqY+ByybMz5aCFlojJBohdjh4Xdi9Xpas99XDOso7We/xfEhvgo6mSJtLYONC/ztbqwX3kuYBFmUQRPUXVgjddsGlpKM/FxGR0wlDPAy/RnANk8gFd6DvzvO/76G1giimNkwIpIQmQa8j98NjX9QsFSjXv07yxoXcmToFR0gCyoM7kf28ADxugu7ZyRM7A1wLgHd2vMPzk59Hq+i65xcRkRNGrYfYoTBjAbgdgn5RZwVWQLi3/vR3YmoLuHTAZZzf52xkDguKz2+B2jzBjnnUjYLTl6MOlLoWdZRq6kp4c9c7ftvcXjdf7vuSe0c91PHPKCIiIp0TYFmyZAlvv/02U6dO5dZbb23YPmTIEHJyck66vxkzZjBjxoz2HGK3YVdRLbEhGtSKrlvljQ8VRPJyCqsYFJHS4efLLM/E6XGRfiSy7pUpqE0YRXjOSgpHzcPTRgejiXETWbp7KaWWUqKCotpjyCIiTZDLlcjlLYvetjtSmRDIOFHkSkCJ3VLG4bqCgLvlmQuxOesbAyxuB9jNgfut3AdM998mkws/IiIiHcPRYIattuX9ms9hfyvgjiP7eNzI9v9Mc7lcu9Pq1979KHnmPKwuqxhgEelZdNV9yuMSMtEAspajzmqmJVmWLfxXpjghTRiH20GhuTBg+35zHg63DZVUnJ8iIh1Np4QxCwsL6d3bV8fD4/HgdAZQyD5N2VVYS5Kxay9+aoWMyGAV+2roFP2VzSVbiAuKxaBstG6sSRqHzFFPWO5vbe5/dPRo5BI53x74ts19iYh0Ok6rIGprbfoCVWMpo7DmENX1TQVvzXYzldZKbC6b3+40ymD6h/YJeLq+Ib0JUh1TnihXt2i7StSg4/8N3YA6m4tys416ewD3FZEuwWR1Um62YXWI/19OCI8H6sqFjBSXQ7g21FcJgtNTH4dxd/jaoEskJ6YpoQ5pcQVfo9AywDggYHu/sH5icOUUxuHyUG62UVvv6OqhtC/WGmEeOf3fM/1iNwvlduaS4+8bCJkSwgPfi4n3o4fWAmq5hj4hvQK2Dw3rh1KmxmQ3UWgupMpadVL9tzdVtioqrZW4PSfuJCsi0lPolJBt//79Wbt2rY8Q7bJlyxg2bFhnDKFH4PZ4yS42cdnwtumOtAcJOthTFwthIR16Hqvbxq6KnUyKm9RkuzPIiCUynchd31DRN0Da8wmiVWgZET2CFftWcOPAG5F0ZgqoiEhrcTug6pDgApT3F+hiYNJ9VEf247CtlHd3vseB2gMk65O5cdANxGljOGA+zKIdiyizljE0YijzBs4jITgBpawxu0ah0DC77xyW5X7dRMgSBBvWGwfegFp1TA1/cAxMfhh+fNB3jIYEiEjroA+gfai1OthbWsdrv+4jv8rKgFg9t53Zm5RwLRqlmF3TVVTXO9hVWMubv+dSUmtjeGIot56RSpJRi1Iu6vT4pbYAdi0XRGrH3QG7v4Pcn0EVDMOOaDMc+F0oH6w5DL8/JxzX/5ITE5cOioB+MyH7K9+29AtQqIKZ03cOy/cux+X1vXbcMOgGNPIANtEiPRaX20N+tZX3/jzAn/srCQtScusZvRieGIJR14OFdi2VULgV/nwJLGWQNAnG3wEhySAPUIrjtEP1AVj/ujAPgyJg7G2CmLQh7uTOr4uEqU/AZ34kDjShkDT+pLrTB0Vwx5BbuXbVTb7dyTWcmzqD7OrdvLfzPfZU7yEmKIZ5A+fRJ6QPEdrOE58vqy/jj/w/+HTPpzg9Ti5IuYALe11IjC7m+AeLiPQQOuXp8rHHHuO6666jsLAQj8fDihUr2LNnD0uWLOG7777rjCH0CA6U12FzekgJ7zqL5qPEK8xs8CZAWMdedHeUb8fpcZEW5vuSVpM0jvjN7xNUloMlsm+bzjMxdiIvbHmBjLIMhkcNb1NfIiKdQvEOeP88IdACUJmLPWoAf2LhH+sebdgtz5zHH4V/8PjYx/np8E9sLhVsWA+bDvP9we95/9z3GRo5tEnX8bo4Fp31Bo+sf7zBvSBCE8FTY/5JYnAzPRWpFAZeKpQg/PmikFEDED8KLn3bv1VzN8HqdPNNZhH/+jqrYdvBCgs/7CzmvetHcUZahBhw7QLMNicf/HWIBT/va9h2sMLCN9sL+WT+WEYmi1a/PtQWwgcXCo5eVy6Fz+YKGkhHKdwGfc4Rfr76m/DSN/w6Qafp7CcFvYnjodbD9OeElfVdy8DrAYkU+l8M5z4NmhBULgvPT36eF7a80OTacf/I+9HKxeyVU5F9ZXVc+uZfWJ1CpsHBCgvzl2xh9ugEHp7elxBtJ5fHtgfWGvjzZVj/WuO2ylzBKe+GnwThZ3+U7YL3zxfm1dFj8jbA8OvhzL+D/iSDBEkTBK2Vn58Au0nYFtkfLn/PV9vsBOhj6M1/JzzN/215gRp7DQCJwYk8N/FpKm3V3LDqBtxHnIkOmw6zoXgD9wy/hyvSrkCv6nhx5LL6Mu797V52VOxo2PZa5mt8vvdzlpy3hFhd932eEBE5GTolwDJz5ky+/fZbnnrqKYKCgnjssccYPnw43377Leecc05nDKFHsLNQKAFINnZ9gCWBEr4mkVqvFsPxd281m0u2EBMU06Q86Ch1Uf1waMOIyPq2zQGW9LB0IjQRfLX/KzHAItL9qSuHb+9uDK4coWT0dTy3+ma/h/x36395avxTbCje0LDN5XHxxPoneHfauxg1jdbvSmUQI+PG89G0d6m21+L1eglVhxCpi/cvgBcUDuPvgiGzhAdTuQaCjIKAbjemwmzn39/t9tnu8cLDy3fw9e0TiDaIK+6dTWWdg1d+2eez3en28vcVO/l0/ljCg3vwynh74/FA1grB8WTEPNjyftPgylH2rYahVwuuQhsXwt82CGK4ARxH/KKPgRkvw5RHBJcVVbCw0n6kbHBt4Vq+2PsFtw6+FYPKgBcv9c56lmQt4Zykc5g3YB4ymZiBdKpQU+/giW+yGoIrx/LJpnyuH5/cMwMslrKmwZWjuOzw3b1w9XLhHncspiLB1tlf+e22xTD6xpMPsGhDBWegPtPAWgUylXBf1bVucVOnNXJ28nkMiRhCjb0GmVROiNKAWyrnmpXXNARXjuX1zNc5K/GsTgmw7KzY2SS4cpTS+lJW7FvBrUNuRS4VM0tFej6d9i2eNGkSq1ev7qzT9Uh2FtYSrVcTpOr6i0uifR+QyJ4qN6NjOmY8DreDneU7GRc71v8OEik1iWMI3/cL+eNuwX0iK3ABkEqkjIsdx8pDK/n76L+LdeIi3RtbDZTu8tlc7bJicpj8HmJxWvxmY+TW5GJymJoEWI4SqU8k8kTHpFBBSJLw00PIr67H4fb4bSs12amud4oBli5gV1EtXq//tv1lddRYnWKA5VisVbD9U+HfyRPhq1sD73vgd4gfCft/gbIsaM3ihErnNyhTainlh4M/sLd6L0+sf8Kn3eV1MT15OvH6ri9zFmkfTDYnGw8G1ur4Y18F6dE90Bb68PrAbUUZwj24eYDFboaCLYGPy/0dogef/FhkCiFbpRUZK367kyuINiQRTeO9OqsiqyHjrDkuj4tDtYdIMXSsqYXdZWf53uUB27878B1Xpl/ZqeVKIiIdhejV1Y3YWVBLcnh3ePH3EmPeiVziYU+V/5eT9mBXZRYOj4M+oYE1HGoTR4PXQ/ien9p8vgmxE7C6rPyS90ub+xIR6VAClK1IaLmcJVD78Y47VZEdp/xHrA7qGqTH+eCl4v+XZkiEUh0AvMf8u/luEpDIhIwXiVT4dzsiRYo00LkBmUQmltydYkiQtHidlPfUydp8bjT/I0/ke9x8n26ceXG8eSlr52tFIFq6fkgl0tP2WUXk1KPDrgahoaEnfKOtqupaJevugNvjJavIxMXDTlIkqyOoK0XuNBOrcZFT1XHq3hml2whXGzGqA9fbu1XBmGMGE7nra0oHXxb4wfIEiNBGkB6azlf7v+LCXhe2uh8RkfbG5rJRYa2g0lqJQqbAqNQTOfAyJLuarvaESpWEqcOosvleMw0qAw63r7tD/7D+GCRyKN4upD/rogRhPpkS6ooF9wSvV9geHCVs7+bU211U1NmpqHOgVkgx6lRE6X3t3ONCNWgUMr/p7fGhGkLbIbW93uGios5BhdmOSi6MJdrQNmv5U52BsXpkUgluj28ay4BYPSFaQWDS5nRTbrZTXmdHIZUSrlMSpVdjtjmpqHNQa3USrJZj1CkJC+qhGS+2WrCUC05ASp0wN5uXBwQZYcT18P19sP9n6HcR7PxCaJPKYfTNkHqmULoQmiSU8NVXgkoPpuKmZQtup+B8YjniPhYUCcHRwip6C3i9XuRSORf3vpitpVv97nNRr4uIC+4GzzAi7YZBo+CMPhH8vrfcb/sZaRFU1tmptDios7kI0Sow6pQYNEo8Hi+lJhsVdQ6cHg8RwSoidSpUim5QQpY0ThBpn3CXUEbnsguW5/tWQVkOqP3YIqtDIHkShKdB2rngrAe5Sigd+nMB9J4mOAtZq4VsF22Y0I+h63VF9Eo9icGJ5JnzfNpUMhWJ+kTK68upslVhdVkxqo2EacIIUrSfZIFKruLK9CtZU7DGb/ulfS4l1N/nLiLSA+mwAMuCBQs6qutTkoMVdVidblK7gcAtVQcASNDL2V3ZMQEWt9dNZnkmg8KPb/FanTKB5D9fw5C3idqkAOVEJ8iEuAm8v+t9iuqKRDEtkW5Bja2GL/Z+wcLtC3F6BNv6SG0kL036DwMslcgP/t6wb8xfb/DEuCe49/d7m9RSSyVS/jXmX3y4+8MmfWvkGp4Y+09CP7sOCo+kNsuUMOl+4QFxycVCKjQIGgsXvAzp0xv0FrojlXV2/rcml/fWHcJ15AU9PlTDomtH0jc6uElgPzJYxfOXDeauTzOa9KGUSXlp1hC/QZmTGovFzuJ1h3hrTS5OtzCWWIOa/10zkgGxeqQ9dXW3gwkPVvHYjP48/k1Wk+0ahYznLxtMWJCKmnoHy7YW8MJPe7C7hEzK+BANH9wwmn9/l93khW9EUiivXjWUuNDukAF6EphLYOU/IHsFDTVTUQMFEduwZun66efB1sWQ9SVc9QkcWisEZi75H+R8D59c2dhHZD+Y9jQsvwmMveCi1yA0Gex1QoDmmzsbBTVVeqG999kBtVpcHhe7q3Zz72/38uqUVxkSMYTt5dub7NM3rC9nxJ/Rfp+NSLdAr1Hwrxn9yVj4F7VWZ5O2B6elI5NKuGHxZrYX1DZsn9Y/iidnDiC/qp7bPtpGRZ0Q+FfJpTw8vS+XDo/ret0WXRRc8b4gCF1xRA9KIoXBs+CiVwVtlOYER8GFC2DtS/DJVYIINAhz7KqPQOKBz6+F4szGY9IvgOnPCPOvC4kPjueJ8U9w6+pbcXiaLsT8ffTfAbh+5fUNARiZRMYVaVdw65Bb/ZYXt5Z+Yf2YGDuRP4v+bLI9RZ/CjNQZyKTdIPgmItIOSLzeQJXQpyYmkwmDwUBtbS16ffepG/0yo4B7P9vOomtHoutqDZaMpZDzHV/HP8i3uU52zQtu97TfnKocnt/8H67pdw2xx7Nm83pJWvsqdn0U+y54rk3ntbls3Pf7fdw06CZuGXJLm/oSaX+66/zsSFYdWsX9a+732a6WqfnyvKXEb35fcAjRRcGgy6nTx1Go1fHx7k/Irc0lVZ/KnH6ziagtpchr48O8VRRbyxkV1o+LYyYQl7cVWekuwd71WKY/J8z15lov83+DuO4pBO3xeFmy4TBPNHsxB2Gl9Ye7JhEX2lRTxWJ3cbiynvfWHeRAuYWhCQbmjk0iPkyDso1inF9syefBZb6CfTqVnB/vnkRCWA974W+B9p6bJquTgxUW3v3zIIU1VsamhDFrVAJxIRrkMim/7i7jhg82Nzlm/qRUDlTU8cvuMp/+hiWG8M61I3uObazTCj89Clve9W0z9oLrfxAyS47FVASH/oS9P8KIGwTB6QO/+e8jJAnOeAi+vh16nQUXLxSy1d6ejI8AjkQCt6yFaP8LHgXmAi795lKsLiuhqlAWnr2Q3Jpcvs79Go/Xw4W9LmRk1EgS9Ymt+yxE2kxH3ju9Xi8F1Va+zizktz3lROiU3DgxlbhQNTd9sJXsYl9dsIuGxGIMUvL+X4d82j6YN4oz0k9Y/atjqC2Ed84SgpzNOeNhmPygb1aX2wXrFsCv//Y95saf4Zs7oDzHt23QLDj3WdCFt8vQW4vdaSe/Lp/P935OdmU28bp45vSbQ7g6nDk/zKHSVulzzF3D7mLewHntKjxbUV/BzsqdfLL7ExweBzN7zWRc7Diig6KPf7CISA+h+xYMnmbsLDARY1B3fXAFoGo/BMeQqJdicUJBnZeE4PYNsGSUZxKsCCZadwIXVImE6pTxxGZ+hqqmAHtI6wX01HI1w6OG83Xu19w8+GaxXlykS6m0VvJ6xut+22xuG38cXs0cr0cQrbRWw9d3oLObSL/uR/4+8gEsDjM6VTDqokxYMhOjSs+/+83Ark1Cu38r8p9eEFKYL37LN8Cy6W2htGDl35tuX/uiYL+s7AbZdM0oM9t4/Vdf9xmAWquT7QU1PgGWIJWc/rF6nrlkEDanG41SiqIdXE7KTDZeXr3Xb1ud3cXGg1WnVIClvdFrFAxJCOGFywdjd3nQKmXIZUIJaJXFwYur9/gcMyY1jHf+POC3v4y8GirrHD0nwFJXChkf+m+rzIXaAt8Aiz5WWGFPPw+QCGVAK27y30fNYZCrhWy03F+Fff9c4BtcAWHbuleETBaFr+jzuqJ1WF2CPXu1vZqrvr+KcbHjuKzPZahlakZEj8Cg6ki/QZGuRCKRkBCm5W9n9ubaccko5RLUCjnZxSa/wRWA73YU8b9rRvgNsLy4ei+D40MIDerCLJaKvf6DKwAb3oRh1/iKztaVwF+v+u6v0ILX5T+4AoID2OT7uzzAolKo6B3am/uH34/ZaUar0KJVaFlbsNZvcAVgcdZiZvSaQUzQSbojtUC4Npwp2imMiR6Dx+tBpzwJlzMRkR6CKHLbTdhRUNMt7JkB4eEuOIZEvRB8yGnnMiEvXjJKt9ErtBfSExS0MscOw6UKJmrXl20+/4TYCeSb88ksz2xzXyIibcHpcfqtiT7Krrp8YaVt/RuQ+XFjWn/VXjSqYMKDY1Erg6H8yIu+3YQq82P0f72GfP/PQgqz0+pfsK/qgPDC1pyKPeCob4e/rv1xuD0N6eb+yAnwsA+glEvRaxTtElwBcLo9FNX6ses8QlZRbcA2kUZUChl6jaIhuAJgd7k5XOn7HXS4PAHdhwCq6gN/N7odjnofG/Ym1OYHblMFC+U8Tqt/y9ijmAobrdRtJmFuB6I8R9CU8EN2ZbbPtvVF63l47cPc8/s9DcEXkVMbmVSCXqNArRAWAstNgb97Hi84XP4n66EKCzZXx+n7nRCV/gP1gKCf4m9euWyCZlJz9HFQUxC4P49LKM/rJqgUKsK14Q1umrm1uQH3NTlMfrXd2gOtQisGV0ROWcQASzfA7fGyq6iW1IhuEGCx1Qpie4ZYwtQSdAra3UmosK6QcmsFfUL6nPAxXpmcmqSxhOf8hMxubtP508PSidBE8PX+r9vUj4hIW1FKlS1aIw7WJfl/0QpPF16uLJXCf8OPzCVtGPWjbqLmzIdx9p8ppDgrtI214sdi7C2skjcnsj8ou2fmhVImI7IF+97+sZ23iq6QSYkPDWzxPDheXNFvLWq5zO/9UCmXtmjuYezKFfGTRRkkZJcFwtBCuU19lZDRptQK8ztgHwlgqRD+rTYI+i4AMUNgwj3Cz1Fb2cgBEEDQ8vzk87l58M2ck3QOcknTLNtkfXK7lg+I9ByiWhDzlkklKOX+J2uvCB1qeRdrbYSnB25TG4TsLxDmWX218G+5BjR+tFlMhS1bLMsUx9c1c7uFLDNb255vW8PRZ3Gj2sjsvrOZP2g+ZyaciUwiI0QVgkrWQ7ICRUS6EWKApRuQW16HzekhpTsI3FbuF/4bHItEIiFRL213oduMskyUUuVJ12tXJ49H4nERkf1Dm84vlUgZFzuOHw/+SH2AFTsRkc4gTBPGXcPu8tumlWuZGJImuP8cy6ibhBerb++BD2fCN3eBLhrTOU+y7ZLXeFhlZb45g//GJnPo2uW4pvxTEMZszti/wbYlTbdJJIIAbjcsDwKI0qu4+2z/gdmwICWD4jovqBGpV/PANP8P6XqNnFHJgd3RRFomNEjJg+f6frbr9lcwrb//stLRyaEYdT0owKKLEnRU/BGRDvUVUJYtBFCPYiqCLe/DR5fDR1cI2aajb/bfR1gqOOqEnz7nCpksE+6GKxbDgEvg8J/Cz8BLhW0T7wFF0xdmk93EttJtfLj7Q/4o+INgZTCvT32d4ZGNGk13DruTcE3Xlj6IdA3hOhVDEvxfcy8ZGsvafRV+2x44N71ry4NAWJQwBCg3H3+XIAafsVSYax9fDls/EAIlE+/z3d9ZL9w7A2gYMehKwR0sENWHYe1/4cNL4NPZsPcnqPPv2tQR9ArpxQMjH+D+kfdz2HSYtYVridJG8cbUN3hg5ANEaFoYu4iIiF/EZYduwM4j6uvdIsBSdUCI3GuFl4MEvZTsyvbNYMkozSDFkIxccnIrGG5VMKa44UTtXEHp4EvxHsdWsiUmxE7gm9xv+CXvF9GyWaRLGW7oxcOD/8ar2YsbUu3jdHG8OOEZYvb/IdiwelzCzkPmQOoUePuMRi2Fkp1Ygowsi+3Ny3890tBvTlUOyw/9wOJp7zAw5/vGEyo0cMYjwsp1/TF115pQOOcpwYqymyKRSJg+IJoyk5231uQ2uMv0itCxcO5wH/2VjmZyWgQPnZvOK7/saxhLslHLwrkjiAvp3LGcagyOD+GZSwbx9PfZWBxCkP+33WW8e/0oZFL4cVdJwxSY1Ce8wX2ox6BQC0ENhwUylzZmmcWPhDP/AV/eLKyez/kcek0VgitLL4Py3Y19fHsPzP5EsFze8Rl4jiyGxA6Hs/4pOKSkTYfpz0JQOHic8MeLULqzsY+CLcK14KpPmgzP4rCwbN8yXt76csO2nKocvj/wPS9MfoFqWzWXpV3GqOhRHfP5iHR7wnUq3pwzgvu/yGTDgSoApBK4cHAsD5ybTlGNjZ+zSxtKKXUqOY9e0I9Bcd1AwF4fC9d+DV9cDyVH5oNMAaPmCzpHH10BJccsbhRsgU0Dj8y3Ctj4pmB5DhA1ADThcPn7gtBt3gZhu0QKAy4TFi20AQLuVQfgnbOb3osPrYXBV8G5zwgW7R2MVq6l0lrJf7f8t2FbTlUO3+Z+y5LzlojOPiIiraDDXIQuvfTSE953xYoVHTEEv3RHl5Invsnip6wSXpo1tKuHAmueh9o8GC047Px62MW7Ox1k3xCMOkC658lQ66jlnt/u5YKU8xkYPvCkj1eaS0j9/b8cmPIQlenT2jSWFza/gFahZfH0xW3qR6T96I7zs0NxWuGHh3FYK6gYcQ1VEi8KqZyw2hIi/nwFrvxQSEu2VgmlAHINLDpTePE6hrzrvuTCtffi8VMKlBaaxqJhDxFmKRdcEDSh4HLAmmeEea4MEoI1bgdsfgf6XgBjbwdp901wtDndlJvtVFkcqBRSjEEqIlooHepI7E43ZUfHIpcSplMSGdw2++fuSFfMTYer8bOVyyQYtSqiDGpMVieVFge1VifBajnhQUoMXW372lrsdUKJQXmOsGpeukvQXDo6x3VRcOs6IQvtxwebHjvt/4TAStxIGDkPavIEPQilTigjUmqgJh9W/wuu+06waP7Wf8YcF70Bw+c2/JpnyuPCry70e01JD01nwZQFRGgjxPKBbkJX3jurLQ4qLQ7q7C5CNAqMOiXBamEBrLTWRqXFjsvjxRikJFKvajcdrHbBUi4ETJz1oAkDXSRkfQVf3+Z//wtfgUFXCBkm1krhvqw1CvP4o8vhvOdBGy5kjqkNwrxe+yLM/tTXet1RD9/eDTs/93+uTnL0O1BzgJlfz/TbNjJqJAumLBBFrEVETpIOy2AxGMTJeKLsKKghuTtkr4BQIhSa3PBrol6Cxwt7qz0Mjmj7TTGzbDtSJKSG9GrV8Y7gaMxR/YnJ+JTKtLOFFYJWMjFuIot2LiLPlCfaS4p0DfVVkLUMpcNCbM73+EjObnoXZrwIHHkwK8r0Ca5giCe7Lt/vixDA3uq9mOzVhH16tbDh8vdg87uC9fOXfqzKHXUw4FIwxLXhD+tY1AoZCWHabuHSo+pGYznVUMplxIdqiQ9t+tnqNQr0mtZnMHYrVDqw1cDn1/pvrysVAqwZS3zbQpOF1feSnYIV8+fXBD5PXSlsWxy4fdv70O+CBo2JrMqsgNeUPdV7cHlcYnBFBBBK+gKV/EQZ1C1qtXQ5QRFNy3esNbD1/cD7b/0A+l0EYclAcuP2gi1QlSsEWfzhTxzXWg3ZLRg3ZK3olADLppJNAdu2lG7B5DCJARYRkZOkwwIs77/fwgVKpAGX20N2kYnLR7QgkNVZOCxCGnLShIZN8cGCz8/uSnc7BVgyiAuOQytvffp8Ve8pJK17g5BD66lJmXD8AwIwImoEH+3+iC/3f8ndw+9udT8iIm2ixSTCEyvP89JyIqJvomIL+3dMUqOIiEhr6Ywp6fWe1HmOd80RETk1CfS9P958aMV8Ee/FIiI9FlGDpYvJLbdgc3lI6Q4OQlUHhP8GN/rdq+USYnQSdreDDovdbSerMosJcRPb1I81LAWLsRexW5dSkzzevwXtCaCUKRkTM4av9n/F7UNvF50QRNoXc7GQeux2CvoHumhAIrgC1R8R/9OGw/T/wJ7vYNhcQYdBKoO6MvjrdaEevOqgsNKl0Ar6KJrQplkstQUM0CUilUgDlggZKo6xYdz5BQy+Eg7/5X/cg2c1uQa0N2VmG1UWB3anh7AjKeOqrnaUaEapyUZl3ZG0dp2KyGAVCln3LZk6FSgz26iqc2B3edBr5Lg9XmxOz5GyAjUyadtLVLstwTFCqZ7DIvyui4Lxd4KxFyARyvUufktYIQfY9oGglaaPhas+BrwQHAsqfaOV+7Fow4TrxrRnBL0WiRQyPhTENI8y4nrQNjqkDDAOaPmaohRXtE8nTPUOyi0OqiwONAoZoUEK4kJOgay9unLhfuy0NpYIDb8evG4Yc+sRFz6vYNG86W0YerUw96oPCRmoCo1wfw9PEzRcjuqyHEtoMvjLANGEQL+LYdcX/sc28MSlFtrC6OjRAdtGRI1ArzwNyrVFRNqZTnujXLZsGZ9//jl5eXk4HE091bdt29ZZw+h27CysRYIgjNjlVOUKNwhdVJPNCcFSsiva7iS0u2o3To+L3iG929xXZZ+pJG54G33+ZkyJgW8Ox2Ny/GR+y/+NPwr+4KzEs9o8LhER3C4o2SGI59UcFrYpdXD1crCUwnf3NgraBYXD7M/AXi2U6xx9wQpNFV6cti0WdFGOitwOnQsXvSaUAhyzumXcsZw7B/+NV7a/0WQoKpmKJ4beQ9iK2xs37vkRpjwKMUOhOLPp2MPThPTnDtBf8Xq97C2t47aPtpJbLvydKrmUO8/qzZwxid1CoNTp8rCjsIY7Ps6g+IgwY7BKzuMXDWBa/6hTpyylG+HxeNldYuL2j7ZxqFJwddMoZMyfnIIECUvWH+K5ywYzqXc4WtUpGgTXRcOMV2DFTYK18oWvwM+PNxXfHH4dRPaDn5+AKz6AogxYPEPQjgAYeAVc8KIgjnvsyrdEIvS9+jHY/Y2wTRkEE+8VLNn/fFmwb+59dpMhGTVG7hx2J69se6XJdpVMxZPjnyRMI7pknS4U1dTzwV+HeX/dIRxuIeCWHhXMK1cNpW9MD375rsw9InK7Q/hdpoDRt8KYm0GuhJ8eabQ51xph2tNChvea52HDm4JuGQjzZ9aHcO6z8MMDTc8hlQvz2Zjqe35lEEx5BA78IgRrjmXQlRCS1K5/biDCNeHMGzCP97OaVh5o5Br+MeYfYnmQiEgr6JQluVdffZV58+YRFRVFRkYGo0ePxmg0cuDAAc4777zOGEK3ZWdBDbEhGrTKbvDgWLFfWElr9nKVpJeyu8rtp8zg5MgsyyRMHYZR3fYHs/rwPtSHJhG3ZUmb0iiT9EmkGFJYtndZm8ckIgJAbQF8MKMxuALCKpdMBl9c19QtQB0CpVmw6l+NwRWAyHTY/hFsfKsxuAKC28iBNTD/dxg0S3iwG3g5QWNu5Yq0y1k8fTFnxJ9Bemg6s/vOZtmFy+hn7AvnPSc8GEYPFhxKVCEw6wOY8ZLgWhI7XHg4nPO5rxBfO1FYY+XKt9c3BFcA7C4P/121l19zyjrknCdLYY2VOYs2NgRXAMx2Fw98sZ3sYj+ZASJtpqjWyuy3NzQEVwCsTjev/rKfiGBBvPjWpVs5UGFpoZcejlwJ6efBzWvgolcFJ5KSY5x+3E4h0GouhoGXCavnv/67MbgCwir4wbVww2ph5TtqoOBEMv93yPmuMbgCwrXm1/+D8HTB+eTqL4RsmGMIUgRxRdoVfq8pfUP7dujHIdJ9cLk8fL+jmP/9caAhuAKwp9TMNe9t4nBlD52XpiJYMrMxuALCPFv/Gmz/VMj0PBpcAeG+veMzQRdl3YLG4AoIwtQfXCAsWsxaIszlqIFCpuicz6B4J1j9aLCAkKU2/3c484izX/JEQRD33P8TFmA6Ab1Kz7yB81g0bRHjY8eTHprO9QOuZ9mFy+hlaJ1eoojI6U6nvNW/+eabvP3228yePZvFixfz0EMPkZqaymOPPUZVVdXxOziF2VFYS1J3yF4BQeDWj7BlkkGK2QGFdV7ig1uXpu3BS2ZZJulh6W0dpYBEQmXaNBI2LsKQt4napDGt7uqM+DP4IOsDiuqKiNX5yIyKiJwce35oGiwBmPIPwRmkeTBw2DWwcaFvHwMvh+/u8d//5kUw6HK48FXhBUupAYUWAzBCG06/sH7Y3XaCFEEoZUeEB9PPh6SJgk2rKkQI9gCMvBHSzhfGZejY735GXg019X7Sp4GXVu1lUp8IovRdJ4bo9Xr5OrOwwW65OS+u2sOia0cS0lPdaropf+VWYrK5/La9++dB5o5N5N/f7ebN3/fz38uHnLpZLCodxA6F/b8KL3/+2PwuzPkCvrrVf3vGEogfBTPfAIdVKG/Y8YnwYuiP9a/Btd8EfJEzqAyMiBrh/5oiclpQWGvlrTUH/LaVm+1kF5tIMnaDEveTpXK/UK7rj/VvwPkvwL5VTbcPuRJWPuL/GFMRVOyBtS9BymQhwFJ1AD6dI5T+pp8LmgCZIKFJMOlBGD0fpApQd35WUKg6lLExYxlkHITD40Cn0KGQiRmbIiKtpVMyWPLy8hg/fjwAGo0Gs9kMwDXXXMMnn3zSGUPolrjcHnYXmUjpDg5Cznph5V3vJ8CiF4IquytbXyZ0qPYgtQ5Tu5QHHcUSkUZ9WApxm99vUxbLmOgxqOVqMYtFpO14vVDgR5E/OBbK9/huD0mAir2+22UKsJsDn6c8RwisBBmFl6hj0Cq0hKpDfV+E1Hohzbm5RaY+psODKyCUQwaiqNaGI0Bgo7NwuD1sLwg8xv1lddicbS+VFGlKZl5NwLaDFRai9YIg+p4SM/Wnw+dfvjtwm7UaFGrh5TAQBZuEa0KQUbhGBNJaAqjYBy77cYcU8Joicspjd3motDgCtu8u6qGZfeU5gdtsNSD3U7Kq0Pq6+B1L1UGh7Gfr+/DHC7BruTC/3M6W7+cg3Je1xi4JrhxLkDKIUHWoGFwREWkjnRJgiY6ObshUSUxMZMOGDQAcPHiwzWUnPZkDFUcEbrtDgKUyF/CCId6nKUwtIVhJm4RuM8oy0cjVxOna0fpVIqE8fTpBFfsJPbi21d2o5CrGx45n2b5lONyBHyRERI6LRAIxw3y3W8qOCFY2w1QEYX5qsz1un8BJE8LaMW3XXnf8h79WUm93UWG24XC66d9CrX6UXoWyBRHZOpuLeof/LIfm2J1uKsw26u0ntv9RlDJpi2NMNgahVnQvMd5TgYFxgT/zhDANZWahXCs1XIfmmM/fduT/s/UEvxc9hvC0wG1qg/DCFtpCGV9k/6a/x/q5Hh0lLEUI5oqIBEApkxKiDfwdSYsOPm4fVRYHpSbbcffrVIx9Arepgv2L1brswhwMRGiSYIfeHKkclMf5nLxesJmalv2JiIj0WDolwHLWWWfxzTdC/e+8efO49957Oeecc7jyyiu55JJLOmMI3ZJdR1Z0u0eAZR/IlBAU6dMkkUhI0rdN6DazLJNUQy+kkvb9ylnDe1EXkU7cpveFl9JWMiVhCtW2alYdXnX8nUVEWqL/hYLLwLH89gyMu91334ylMPoW3+3ZX8Gwq/33r4/1H6w5WcwlkP2NkML8yWzY8TmYitveL1BZZycjr5q/r9jBLUu38dzKHAbFGQgOUN5x11l9iNT7rhgW11r5fEs+N36wmVs+3Movu0spN/tfcbfaXewtNfPsjzncsnQb//hyF9vza6i2HH+FHoTr3KXD41DI/JdB3jctTSwP6gAm9YlAq/QfuJo3PoVlWwsAmDMmkY0HKimorien2MT/fZfNLUu38a+vdrGzsIaa+lMkOB7ZD4Ii/LcNv04o9xlzs/92ZRD0OafptvTzfa9HRxl3BxRvb7d5L3LqEWtQc+ME/wG9UK2CAbGBAw75VRZ+2lXCvZ9lcucnGbz350EOdRctpfA0H0OHBkbfImSfNGfn5zD2Nv/HBEUIpXb+AiwDLgFdgDkNUJMHGxbCx7Pgixvg4B9N9V9ERER6HJ0SYHn77bd59NFHAbj99tt577336NevH0899RQLF/rRHzhN2FVoIsag7iYCt/uEF7cA7iGJeilZrSwRKrdWUFBXQK+QjhHLKu97HpqafML3tD44EquLpb+xPx/v/rgdRyZyWqJPgGu/Fuwej2KtElaoLn5LWB07iqkIYoYIrj7Hpt/nb4LRN8OQq5vakIf3ETQT9G0s6TEXw7J5ghvRwTVwaC2smA+fXBlY/+EEMVmdrNxVwiVv/sU324vZeria99Yd4r7PM1hy42hiDY0ve3KphFsmpzJ9YDSSZnbrxTVW5r6zkYeW7WDjwSrW7qvgxg+28PflOyg3+66G7iiq5cLX/mTxX4fYeriarzILmfnGOlZll1Fn86/90pz4UA2L540mLKjx/4VKLuWJi/ozOE50UugIdCoZ/5s7gqhjAmwKmYQbJ6bgcHs4VGHh8Qv7szKrhBs+2MIz3+9m3f4Klm7MY+vhapZtK+Si19exdl8FVscpUEJkiIfrvm2a2SaRwpDZEJEO25YI+g6THmiafRIcA3OXQ0his/78XI9kSsFFyFwCH10On18rBllE/KJUyJg5NJbZoxOaWKUnhGn44IbRhGj8B0fzqyw89V02tyzdypq95Ww6WMVT32Vz7XubukeQxRAnzLNjFyskUhh2HYy6URCoVR2TXacKFubg8GsF7bJjFwvDUoW+IvoLQrXHkn4+nPUvwSbdH9WH4N1zBMeivPWw90f44EL47WlfZyEREZEeg8R7mtXomEwmDAYDtbW16PVdW+s46631SCRwz9ktpAR3FstugPDe0HeG3+a1+S7ezHSw4/pg9KqTE7pdnfczn+V8xh3D7kAt6xgr1titS1HX5LNjzhK8/mpnT4DMskxezXiVj87/iMERg49/gEi7053mZ5vweKCuGOrKBbcBXZTwguP1grkI6soAibBNHytst5QLLzxylbA9OEYo3bGUC6tZyiBhlSw4wKrbyZD1pWBP6Y8ZC2DkvFZ3faC8jukL1jZxnDjKmekRPHnRAOrsLmxONxE6FeE6lY9wqdvjZeHv+/nvKj/6NMCHN45mUp/GFcH8qnqueXdjEyeao6jkUlbePYmUCN0Jjd/t8VJmslFeZ8fl9hKpVxGhU6E6zcuDOmpu7iys5b7PMrl5ciqGIzbYiUYtNqebohobEgl8vDGPtfsaV3RfuWooT3yTRfUxosnBKjnf3Dmxe2SEtgfmUqG00FHf+HJmq2m8lrhswnXBXCJkqASFC7au/hZJPB5hv+qDwgq7QiO4pBy7Sn/J24KIp0iPpKPmZ4XZxoOfb+eCobEMiDVQWedoyDh7buVunrxoIP38lFb+sbeca9/zo0cG3DQxhfvOSesegtXmUuEe67AIc0gX2VgiZC45cq/2CvMuOEoITtrMUF8u3N+V2iP35Wihv5p8YUHFVgvacNCGNbY1x2mF7+4XHAP9ccsfwgKMiIhIj6PTrm7V1dW8++677N4tCLj179+fefPmERbWdsvenojH4yWrqJaLhnQD1xpbrfDQ1WtKwF2SDcJD2+5KN2NiT+5rk1mWSWJwQocFVwDK+04n9bcXiNr5FSXDWveQODhiMFHaKJZkLeG/Z/63nUcoclohlQqC0X5EozH2Fn6ao0wSariPRa0XftqjJOgodrNg+RqILe9Bv4sEkcxWsK+szm9wBeD3PeVY7K4W08oBKi12PtsSwOEB+HDDYcakGFHKhetSrdXpN7gCgkjjocr6Ew6wyKQSYkI0xIRoTmh/kbbx7fYi9pXV8eAywS5VKoH/u3ggL63eS6XF4Ve//JfdZYxNNfLjrpKGbWa7izKT7dQJsARHtRxMVWiEwEt4C1oSR5FKBcHbnx+Dwq3+ReE3L4K0c0ET0uohi5x61Fpd/L6/gt+OBDjlUjhWj3zNnnKfAIvT5Wko7fPH19uLuHpsIimqE7smdyiB5plMIYjQhyT4tqmDhR9/+mmBjvFHfZVgrx6IncvFAIuISA+lU0qE/vjjD1JSUnj11Veprq6murqaV199lZSUFP7444/OGEK343BVPRaHm+Tu8DBYccTdxBD4phCjk6CQctJlQvWuevZU5dA7tP3cg/zhDAqnJmkMMRkfI7O1TtVeKpFydtLZrM5bTWFdYTuPUESkm+D1tqxX5HEBrU9sdHtaPvY4zYAwRLc78I4utxfvMWM8XiKmy9O1DkUigXE2C8Z5vIIejsvjDWgO5/F6m5QrHMV9eiXknhxH533AD7WFNpHTFi9NvxbNzd6cfq6tXq+nxWuu2+Ntyy3m1MJ7vHuxiIhIT6RTMlhuv/12Zs2axcKFC5EdsQh1u93cdttt3H777ezcubMzhtGtyCoSBG67RYClfI9QfhCoRhRBKyFJLyWr4uReVHZV7MLt9dA75ARW2dpIRdo56PO3EpPxKQXjAogAHoeJsRP5ev/XLMlawiNjHmnnEYqIdAPUehg2V6j39seQOaBpfWZhWlQwMqnEb6AlIUyDXn38205YkIKLhsay6WAVc8cmoVbIkEkllJnsvLfuILNHJaCSN5bsGDQKYgxqimt9tVkUMgmpJ5i9ItL5zBgcy/vrDjXZ9tf+Cs7uF0VeVT1Xj0lEIZMik0ooqrHy3rqDnJkewX9WNrU9VyukxBgCiLmKCPf3oVdDUYb/9mFzQRv4GUDk9CRYLWNUciihWiWXDI/D4wGlXEJOiZnF6w5xZpqveKtSIefioXH8sLPET49w7oAojEGiYDhqA6TPgN1f+28fcPqagIiI9HQ6JcCyf/9+li1b1hBcAZDJZNx3330sWbKkM4bQ7cgqMhGuU6JXdwOLxLIcQRhP0rK2SpJeys7yk8tg2VaaQXRQFPrjWdS1A25VMNW9JhO180vKBl2MQ+friHQ8VHIVUxOnsnzfcm4Zcgth6tOzhE3kFCd1imDnWpbddHtoCgy8JKDY9YkQFqTgrrN68/LP+5psl0kl/HvmQBKNxw8qK2Qy5o5NIskYxNPf76bSIjjEJBm1PD6jP4OaCc4mGoP4v4sHMn/JFp8MmXvPThMf5rsxSUYt5/SPZHV2WcO2lVklLL91HJn5tTz+TRY1R7RWekUE8fTFgzDbnJQ1c5N65Lx+ROg6rgy1xyORCIKbG9+Cyv1N28L7QNr0rhmXSLcmSq/h2UsHsWJbIfd/vp36I0LSQxNCePvaEUTp/Qc106ODGZUUyubD1U22h+uU3DQpFb3oyAYqHUz9Fxz8XSjVP5a+MyAsuStGJSIi0g50SonQ8OHDG7RXjmX37t0MGXJ61hdmFdaSGKbt6mEI6YkVe3ydB/yQbJCQW+PB5jqx3E6X18WOih30NnRsedCxVKWegUeuInbLh63uY2riVACWZi9tr2GJiHQvDHFw9TI473kh0BKRDmc/Cdd/J7iYtIGwIBVXjUpk8bxRjOtlJMmo5YJBMXx9+wRGJJ34Cnm52c4jK3Y2BFcADlfWc9vH26h3+gZ6RyWH8fXtEzhvYDRJRi3jexlZcsNoLh8RL9ord2PCdSqevmQQr141lMHxBlLCg7jzrN7U2d08dkxwBSC33MJtH20jLSqYc/pHkmTUMrlPOJ/MH8MFg2LQdYcFi+6MIU5wIZv2fxDRV/iZ9jRc87XQJiLSDK/Xy6aDVbz5e25DcAUgM7+GOz7OCFgSmmQM4r+zhvDUzAEMiNWTGh7EzZNT+fyWcfQSMwobCesFN6+BsbcLWmuxw+Gyd2HGy4Ht2kVERLo9nZLBctddd3H33Xezf/9+xo4dC8CGDRt44403eO6559ixY0fDvoMHn/ruLV6vl11FJr+plZ1OdZ6gZH4CAZaUECluL2RXuhkedfyvzp6qPVhdVnqHdnx50FE8CjWVvc8icvd3FA+9EnvIyb8s6pQ6piRM4aPdH3HdgOswqER7VpFTEEMcjL4FBl4uFNlrjW3KXDmWKIOaKIOagbF6rE4PerUcw0kEOcw2Jy+t9u8gZHN6+DKjkLvO6oP0GB0OvUbBoPgQnr1UyHDQKuUYxYyGHkFksJqLhsYxqU8ELo8HqUTC/A+3+N23zu5izd5yXrxiKLVWh/j/+WQxxAkvc4OvEn4PCj9u9qrI6UupycaCZtmIRymutbG31BxQEDzJGMS144I4Kz0St0dwZNMou4FzUHdCKoWwFDj7CZh4D0jlgvOQiIhIj6ZTrnSzZ88G4KGHHvLbJpFI8Hq9SCQS3O6TK0HpiZSb7VRZHCSdQKp8h1OWJVzgT2DVOjFYilwCu8o9DD8Bp9iMskwMKgOR2pMv1WkLNcnjCDvwB3FblnDg7H+0qo/pydP5Lf83Fmct5u7hd7fzCEVEugkSifCC1UGEB7dOE6Pe4SanxBywfdvhauxuNxqp7y0sRKsUM1Z6KKFHSrlKam3sLakLuN/mQ9XMm5CMXtMN7qE9EakUdN1ggUek22N3eXzK8Y5lV6GJM9JbfsaL7w7Z2t0duVKwiBYRETkl6JQAy8GDBzvjND2GrGLB5SbZ2A1uOmW7ITgOZMd/IVHIJCTqJeysOH4QzIuXjLJt9A7pTWevjXllCir7nEXUzi8pGn41trCk4x/UDL1Kz9mJZ/PR7o+4ut/VhGs67iVURKRVeDzgsoFcBVLZ8ffvAtxuDw6PB7VchuSYVXKn24Pb40Gt8H8LUsmlJIRqKA/wYN8nSodS1j5/s8vtwenxoAkwFpHORyGXEB+qCRhk6xsdjKydsq16JK4j80IuZu6ItD8OlwcvXlRyGQqZFL1Gjsnq39GmV6QY5DwpXA7wekAhCnKLiJzKdMoTZVLSyb/gnspkF5nQKmVEBHf1w5EXSnYKGgwnSLJByvay4wdYDpvyqLJVMy2p88qDjqUmcTTG/b8Ru/VDDpzzz1b1MT1lOr8X/M5b29/in2Nb14eISLvjckBNHmR+BMWZEDUIhl8jlPl1kxeueruL/Op6PtqYx8EKC2NSwrhwSCwGjYKDFRaWrD9MlcXBtAFRnJkWQVxo02BziFbJ3Wencd17m3z6lkrgqlGJfm16T4Zaq4PDlfV8sP4w5SYbZ/ePYmrfKOJC/ae7i3QO5WYbB8ot3DgxhQeX7fBpl0slXDw0tgtG1g0wl0DRNti6GCQyGHkDRA+G4BNIKRUROQ7lZjtZRbV8tPEwbg/MHp3A8IQQbpqY6rdkU6+W+wiOiwSgrhzKd8OmReCyCm59iWNBf5pey0RETnE6bcnuww8/5K233uLgwYOsX7+epKQkFixYQEpKCjNnzuysYXQLsotNJIVpm6zodgnmEqivFOo/T5DUEBm/5zuod3rRKgKPf1vZVjRyNfHBXSScJ5VT2XuKkMUy6jpsIQkn3UWQIogLUi7gi71fMKfvHFJDUjtgoCIiJ4HXCwWb4MOLwX1E/DP3V9j4piBamzy53XRUWovd6ebXnDLu/DQD7xH9w7X7Klj4ey7vXj+K+z/fTmGNFYA1e8uJ1qv5/NZxPqLfQ+INPHJeX/67ag9Ot9CRTiVnwZVD25xybrY5+WRjPs+tzGnY9se+Cl79ZR/Lbh1Pcri4KtsVlJltPPjFDtbuK+frOyYwf1Iq7687iOuIkKZeLefZSwehVp6G2SvmEvjiOsjb0Lhtzw/Q62y4+E0xyCLSJsrNNh74Ygdr9pY3bPs1p4xRSaG8OGsI+0rNfLezuOGaHhms4tXZw9AoTsO5eLLUlcNPj8DOLxq37VsNkQNg7jIxyCIicgrSKVfGhQsXct9993H++edTU1PToLMSEhLCggULOmMI3YrsItMJWZV2OKVZgARCk0/4kN4hUjxe2HWcMqFtpRmkhvRCJum60oXahNG41HqiMz9rdR9Tk6YSrgnn+c3P4/WemHuSiEiHYS6GZTc0BleO4nbC8huhrrhrxnUMZXV27v9iO82ni8Xh5olvsrh2XNOMxhKTjQWr91LvaJqCHqJVcs24JH65/0w+nj+GL24dx0/3TOKMtAg0irZdV8rM9ibBlaNU1Dl49scc6uxOP0eJdDTbDtewZm85k9MiWLGtkCqLnbevHcmLVwzh9dnDeObSQbz75yEOVVi7eqidz/6fmwZXjpL7MxRs7vzxiJxSZOTVNAmuHGXz4Wp+2V3KgFgD7103iv9eMZiFc4fz0PR0Hv1yF+V14rXyuFTsaRpcOUpZFmz/FDynvvakiMjpRqcEWF577TUWLVrEo48+iuyYuvmRI0eyc+fOzhhCt6He4eJQhYWk7qC/UrwdDLGgOPGU+PhgCSoZLZYJldaXUVhXSFpI15QHHcUrk1OdOgnj3p9R1Pk+OJwICqmCK9Ov5K+iv/g179d2HqGIyEliKYe60gBtFcJKWRdzoLwOu8vjty2nxOw3O+TbHUVU1/s+qGuVchLDtIzvFc6o5DDiQrUo5G2/bf25ryJg2+rsEmos4ktDZ1Nnd/LB+kMAnN0viu92FLN8WyE3LN7MP7/axX2fb+eOjzPYllfNF1vz8Xj8f8dOSeorYfM7gds3/Q/sgUWBRURaos7uZPFfhwK2L88oxOJwMW/xZh77Oos7P87ggS92kFtex5q9ZZ030J6I2wWb3w3cvvV94d4tIiJyStEpAZaDBw8ybNgwn+0qlQqLxdIZQ+g27Ckx4wWSulxV3QtFmRDW66SOkkklpBikZLQQYNlWuhWFVE6K/sRLjzqKmqSxeGUKonauaHUfQyOGMiRiCM9seoY6h/gQK9KFHO+l0uNfiLAzcQQIrhzF4ycTzOXxdmqGmM0Z+Prl8fofo0jH4vE0fnfkMkmT75HV6cbhbvzd7vTgOZ3+F3m9jcK2/nDZxVVwkVZz7Nzzh8PlQS4TXhfqHe6Gkj0Am/M0CnS2Bq9H0FwJhMsu7CMiInJK0SkaLCkpKWRmZvqI3a5cuZJ+/fp1xhC6DbuLzUglEB/axQGW2gKwVkHYyeuK9AqRsq008MPc1rKtJBtSUMgUbRlhu+CRq6lJGktk9vcUjbgGj/LkP3eJRMLV/a7msXWP8dLWl3hs3GMdMFKR0xqPRyj/sdWCTAFaI2jDfPcLCgdVMNj9uKsog7rE5tHmdFNutmNxuNAq5PSO0KFVSrl8RAITe4c3PIx/u72I7fk11PjJVJnYOxy92v/1orTWRo3ViUwqIVSrwKhTYXO4KKq1Yba5UMml6DUKYkNOPBNvYp9w+NF/24ikUPSarr92nW7oNQouHR7H1sPVbDxQxZT0SA5U1DF3bBI6lZxwnQqZFCrrHMSGCA5TZrsTtVxOuE6JViWnpt5BlcWBw+1Br1YQpVe3WQz5hHFYoK4MnPWg1AmaKPJ2cgrRhMKgK+CXJ/23D5kNGlFsVKR1CHMvni2Hq/22n9MvCqNWwbd3TMThdqOSyyiusfLEd1mckRZBtcVBpcVOvcONTiUnUq9CpxKuoUU1VmqtTlxuD3qNgoRQDVKpFI/HS6nZhsnqRCGTEqpVNti0dxvMpWA98ploQluncyRXwtC5sCfADaf/JcL9XkRE5JSiUwIs9913H7fffjs2mw2v18umTZv45JNPePbZZ3nnnRbSXk9BdhebiAvRoGyHNPc2UbgNpHIIPfkskz6hUr4/4KLU4iEqqOnfUW2vIbfmABeknN9eI20z1ckTCMv9g/A9P1E26JJW9RGuCeeKtCv4cPeHTEmYwqT4Se08SpHTFpsJcn+BHx8SXtAA4obDxW9BRHrTfYOj4Lz/wFd/8+3n3GdAF93x4z2GcrOdt9bksnTDYewuD3KphKcvHsgn88fxxm/7uXXpVjxe0ChkzBmTyG1n9uLh5U3LQtUKKX8/r69PUKPe4WLzwSoeWbGTolobINjzLpw7nDV7ynn5533UWoVgzZiUMP7v4oH0iQo+oXHHGDRcNCSGb7Y31axRyqQ8edEAQrTd7EH/NOHMtAhSwoP4YWcxn908lj2ldby4ag9zxyaxr9TMu38exGQTsrQm9g5n/qQUHlq+g4uGxDJrVAKPrNjJlkPCC1FYkJJ/nN+Pc/pHYejogJmpCFY/AVnLhEwSuRpGz4fxd4KuHcRnpTIhwLLlXWFx5FjCUqHPOW0/h8hpzZnpwtw7WNE0qzzGoGbWqARWZ5dy9bsbGuyax/Uy8v71o9GpZPzr6138uKsEt8eLSi5lzphEbj8jlWKzg78v30FWkQmAKL2Kx2YMYGRSCJsOVfPkt1lU1DkAGJYYwguXD6F3pK5z/3B/uB1QlCHcZytzhW1hqTDzTeHefLJufXEjIGaIUJZ/LFojjPubEIQRERE5pZB4Oykv+6OPPuKJJ54gN1e4WMXGxvLkk09y4403dsbpGzCZTBgMBmpra9Hr9Z16boDLFv6FSi7lzrO6Vp+E1Y8Jq+WjTv7zr7J5uH21jYXnaDgvtemD6695v/JxzsfcPvR2NPLuY3cau3Upyroyds5eDJLWBbe8Xi8Lti2goK6A5RcuJ0Ib0b6DFOny+dklHFwDH1zku11rhJvXQHMHLFutIFD92zNQsReMvWHKPyB6EKg7bxW73u7i2R9z+HDD4Sbb/3F+P1ZllfhdDb19Si8GxBpY8PNeauqdjE01cvmIeLxeL2ekN82+2VlQy0Vv/NlELPfCITGckRbJA180e1AF4kI0fHTTmBN2ACo32/lzfzn/W3OAKouDcb2M3DGlN0lGLUp514lzd1c6Y27mltVxuNJCVrGJfjF6bvpgCyOTQjm7fxTP/egrSpwSHsTtU3qhUch56rssSk2+ZTSLrh3JOf070GGnvgqW3yQESZsz9jY46zFQttO9sCZfsGje8ZlwHxs2F4bOAUN8+/Qv0mNpj/lZVGNl+dYCPt+aj8cDFw+L44bxSazeXcbfV/jqJSaEaVh0zUimv7LWp231vZO5bOFfDQHRY/n05rHc8fG2huDKUYxBSr65YwJxXZ3hXbEPFo4XAi3HIlPArX9BRNrJ92kqgl3LYct7QllQ/5kw5paTMpkQERHpOXSaTfPVV1/N1VdfTX19PXV1dURGdn4qe1fj8XjJKTZx4ZAutmRz2aBkB/Ru3apXmFpKhFbC1lK3T4Bla+lWEoMTu1VwBaA6ZSJJ615Hn78FU+LoVvUhkUi4ceCNPLH+CR7840EWTVuEQiqWEoi0AUslrH7cf1t9JRxaK7xAHYvaAEnj4cql4LQKItWakA4fanPK6+x8simvyTaFTEJKuDZgqvl7fx7ijTnDmDk0Dq1SRlaRiflLthAbomFJhI6EI9pUZpuTl3/e6+NEdN24ZO75LNNv34U1VvYEENH1R0SwikuGxTO5TwQuj5dglRytqtNuiSLNsDndfLD+EB9uOMzKuybx2DdZAMwalcALK/f4PeZghQWlXEqd3eU3uALw3I+7GZpgICK4ncp1mmMp9x9cAUGYdswtoExun3OFJMCZj8Dom0ECaMJBJgYDRdqH2BANt53ZiytHJ+D1CgGPgup6Xvlln9/986us5FfX0zsiiP3ljZkvV4yM5+fdZX6DKwALft7L5SPieWvNgSbbKy0ONh6s4tKuDLC47LDxf77BFRDc+ta/Aec/f/Llf/pYGHs7DJ4laCppwsTMFRGRU5hOqVOxWq3U19cDoNVqsVqtLFiwgFWrVnXG6bsNhTVWLA43iV0tcFuyQ7hRNC8/OAnSQqVsLm5686xz1LGneg99wloR3e9grKFJ2PSxRGZ906Z+9Co9tw65lcyyTJ7fJFo3i7SRo8HOQBz4I3CbJgT0MV0SXAEwWV1NxA4BQjRKCmtsAY+xOt3YXB5e+GkPT36bzbKtBdhdHg5WWJqImNbb3ewsrPU5Xq2QUVAdWDBwW77/wE5LGHUqovRqMbjSxZisTnYU1OL1gkQqaSgrCFLKKa8LLPCaW26h3Bz4O5dbbgnoatUumAoDt7kdQsZZeyKTC6WCuigxuCLS7shkUiKD1UTp1chlUuwuL8W1gefXjoJahiWFNtk2KNZARl7ga3F2kSlgIHz9gcrWDby9cFigYFPg9oJNrXfskkqFeRscLQZXREROcTolwDJz5kyWLFkCQE1NDaNHj+bFF19k5syZLFy4sDOG0C3YXSw8MCYZT2yFtcPI3yiIZQa1vsQlLUxKVoUHq7PxBSujPAOP19vl9sx+kUioSRpHSN5GlHVtsxVMC01jbr+5fLbnMxZnLW6f8Yl0P9rDlcPrbdn5RyoDfQvp/ZF92z6G4+DxePGchCWL+8jfE6RqfLkbkRTKzKGx9I8NJrwFoUKpBDQKCfdPS+OJC/tzZrpwDQoLUiKXSvB6hbEo5VJiDb4rhB6vt0U9jZSuvraKtAq3x4NOJeO8AVFcNCQWuUTCrJHxzBgcg0ImQaMIHEiINagJaiE4Fq4Tvlsdhja85XZls++kx+P/miC6AIl0Q+QyCboj8ystSsdFQ2I5q28kqiM6golhWvIqLYzvZWTm0FiGJ4ZQarI1ZCP6IzZEQ2WdnwwRoM8xGiyuzrRidx8RX5erwZAUeL/QJCFrVERERKQFOiXAsm3bNiZNEkRBly1bRnR0NIcPH2bJkiW8+uqrJ9XXE088gUQiafLTt2/Hv4S0BzklZoLVckK1XVhW4nVD3gaI6AeS1j90pofJcHlpYte8pWQrCcHxBCm650uOKX4YHpmS8N0B1NxPgjMSzmBG6gxe2voSX+z9oh1GJ9It8HqhJg82vQNfXCcIV5bvEVa1Tob6KijYCt/cBcuuh93fCTXYzQmOhkkP+O9DKod+F57sX3DCVNTZ2XCgkvs+z+TuTzNYu6+8xUyAwmory7bkc9tHGTz1bRY2p5sXLh/E+9ePYmyqEZvTTZ+oYJKMWi4aEuO3jyU3jMagUVFcY2XDwSrOGxjND3dN4sFpaVjsLh74Yjt3fZrBnlITt0/p7XP8qqwSrhmb6LdvjULGqBQ/zksi3ZJ6h4t9pWae/XE3X2wpYEehibzqeqYPjOZwVT2VFuEFzO7y8Nbc4Q0vdMcSrJJj0ChJMgb5bQe4ZXIvIjuqPAgE5y5jL/9tvc5uDMCYS2D/L7D8RvjqVjj8F9SVQ/Vh2LQIPr8Wfn7yyPWmvuPGKyJyEkTrVdwyOYW35o7g8hEJ2F0eovQqXp8znOvGJTEkIYS/ndmbfjF6bE43E3qHMzI5jMuGxxEorjl/UiorthX4bFfIJJw/MJrDlRYW/r6f2z/axmu/7ONQhQWHuwMCkJZKQXj2hwdh2TzY9DbUlcLEuwMfM+Fe36CpiIiISDM6JSe6vr6e4GDB3WHVqlVceumlSKVSxo4dy+HDh49ztC8DBgzg559/bvhdLu8Zqd3ZxSYSw7RI2hDYaDPle8BaA5H929RNQrAEnQI2l7gZHyfH4qonqyqLM+PPbJdhdgQeuRpz7FAiclZSNGKukD3QBi7pfQk2l42n1j+F0+1kTr85xz9IpHtTvgfen95ozQjw1ytwxQfQZxooTuBFrb4K1r4I619v3Jb9NUQOgKu/AENc0/3Tp0PJjbD53cZtSh3MWgL6Zvu2E+VmG499lcWPWSUN277dUczE3uG8NGsIkfqmf+fhSgtXvLWeMnNjqcavOWU8f9lg5i3eTL2j8eH3g78OsejakVhsLn7ZU96w/X/XDGdbXjUvrW6s51+5q4T4UA1LbhjNzDfWYT5Ss//djmKev2wQd0zpzZu/7+dogs276w7y412TyS2zNBm7XiPnf3NHEKs/SXcHkS7B5nTzW04Zd3ySwQ0TUthXVsffV+zk3zMHsmxrAb/mNGYZfrejmAm9jSycO5wbFm9p2B4WpGTh1cOxu9ws21rA+9eP4pYPt2K2N5auXj48nouHxSHtyAyW4GiY/Tl8dBlUH2rcHjMULlwglPCZigUh3MN/Nrbv+AwGXArJE+CHY4Ks6xbArA8FZ6CTdSsREWlnglQKzh8cy9x3NjYpFfpkUz6PXdgfp8vNTR9saSgX/SmrFJ1KzvK/jeOlWUP5+4od2JxCJopEAnPHJjEqJYxxeUZyj9FtCVLKWHLjaMrqHMxZtKHhmJ+ySnn9t/0suXE0o5LC2m8u11fD7m/gu3sat+3+VgiYzlsJF7wEKx9uzGyRymHa020qrRcRETl96JTIRO/evfnqq6+45JJL+Omnn7j33nsBKCsra5XauVwuJzq6c+1I24PdR5wRupSDf4BaD6H+V4FPFKlEQnqYjPWFLu4eoSKzLBO3x016aPe++dQkjiEkbyP6gq2tFrs9ikQiYXbf2UglUp7d9Cxl9WXcNfwupK10KRLpYuor4evbmwZXALweWDEfbt8kpAcfj5rDTYMrRynLgq3vwxl/F3QUjqKLhKmPC44jZXuE1TFjKuhiQN4x2W47CmqbBCiO8uf+CtblVnDJsMaypTqbi6e/390kuAJw48RUHlq+o0lwBcDp9nLPZ5ksmTeaS0bEU1nnID5ETbRBwy0fbvM5Z0G1ldd+3c8D09J5/IiwKcDDy3eyeN4ofnvgTPaWmlHKpaSG64gMVvGvGf25c2pv9pXVEaJVkhCqIS5Eg6qFUhKR7kO52c69n21HKZMyNtXI/CVbiA/VIJdJmgRXjrJufyXnD4rh0/lj2FNaR8iRLNDHv87itTnDePSC/hiDlKy8ZxJ5VfWYbC56RegI1yk7x3I7vLfwUmYqFDLVQpMgOEaY2wD7VjUNrhwlawX0OVsI0piPzEevB1bcJFxvQtp2nxYRaSultVb+szLHrw7Lv7/LZvH1o3A306Krs7u4/eMM7pnah1euGobZ5sTm9BAXouGX3aV8m1nIw9P7cuNEIbgapJKTZNQik0i4bOFfDcGVo9hdHu74KINv7phATEg7ledYyuGH+32315UJAc+LF0LvqcKiC14I7wu6CDF7RURE5ITolADLY489xpw5c7j33nuZOnUq48aNA4RslmHDhp10f/v27SM2Nha1Ws24ceN49tlnSUz0/yBit9ux2xtfDEwmU+v+iDZS73CRV1nPuQO6MDDkdcOhPyFqUKutio+lv1HK53uc2N1eNpdsIl4XT7BSd/wDuxBbSAK24Ggicn5qc4AFhCDLlelXEqIK4b1d73Gg9gDPTHwGXTf/HLoL3WV+AkLmSeEW/20uG5TnnFiAZduHgdu2vg8jbxTEaY9FbRB+jL5lMe2Nxe7ivXUHA7a/v+4QU9IjG15Mq+sd/Ly71Ge/KL2Kw5X+Sxlq6p0U1lp5ePkOtAo50wZEYtQFzv75fkcxN01M8dn+9Pe7+eTmsZzTv+l1MzZUQ2yohv6xnWdLfbrRkXMzp8SEw+1hXC8j6/ZXAHBW30i+2+GnjO4In23OZ3KfCD7bnI/F4WoI7K0/UMm145IBiAvVdp3Fqz7Gd14DWCqE0oNAZH0FadMF++WjOK2CBbsYYBEJQGfdO812Nz/v9q9b5/VCZkEt6VHB5JSYm7TtL6tDKZdy84db0avlKGRSquodeL0QY1Bz+cgEUiJ0pEQ0PitlF9VSFEBQt7zOTqXF0X4Blrz1gXWPDvwGNpNgxyzaKIuIiLSCTllqv/zyy8nLy2PLli2sXLmyYfvUqVN5+eWXT6qvMWPGsHjxYlauXMnChQs5ePAgkyZNwmw2+93/2WefxWAwNPwkJCS06W9pLXtKzHiBpK50ECrKFFbnY4a0S3f9wmXY3bChqJ6symzSQrufe5APEgmmhJGEHFqHzNY+DyQSiYTpKdO5c9idbCjewKzvZpFVmXX8A0W6zfwEwOPfUrIB5wnqIthb+F45rcIKdRfi9nixOgKPwepw4z5G9Nbt8eJPA7e5g1BzHC4PTpeX8jo7CpmMenvgz9fh9gi2s83H4nSflACvSPvRkXPzaHBEKZNidQr/Vsikx/1eKuRSyuvsTbKmLPZuLg7r9bR87XDWg8xPptrJ6j6JnFZ01r3T4/U2uR80x+Zwowygf3T0HmGyuai0CMEVEK7r/gwYj3tPcbfjvbOl+eX1gsfZfucSERE57ei0Wobo6GiGDRuGVNp4ytGjR5+0QO15553HFVdcweDBgzn33HP54YcfqKmp4fPPP/e7/yOPPEJtbW3DT35+fpv+jtaSU2JGKoH4rlpdAyEqr4sAQwuuJSdBkl7QYfl6fzEuj4v0sO5dHnSU2vgRSLwewnJ/b9d+h0YO5fFxjyOTyJj7w1ze3fkubtEZokW6y/wEQB3S8tyIGnhi/QyaFbgt7Tyhlrtin/BjqWhoKqsv40DNAfJMeZhaCtK0kWC1nJlDYwO2XzsuiXqHm+wiE3tLzShkEvrFBPvs5/Z40Wv8J0EqZBKCVPKGB+LV2SVM6RsZ8JxjUsLweLz875oRLJw7nMcv7E9KeBDnDYxuKAcR6Vw6cm4OPJJ5tLOwlrGpRgC2Ha7mjLTAjjyT0yLYeqjKZ/v4XsZ2G1eHoAmFfhcFbu99NuQ3s4WVSCBqQIcNqcpaxaHaQxyqPUSVzfczFen+dNT8LK6xklNsYnexicIaK1qFlEFxgTMFhyaGsK/U17Y4LEiJI4A9+rR+URj83DvCgpQEKf2XearkUiJ07ahJlDQ+cFtEX1B1cTn/CWB2mMkz5ZFbk0tZfdvcMUVERNqXnqEO2wIhISGkpaWxf/9+v+0qlQqVquuF4nKKTcQYNAEj/R2Oo04oD+p1Vpvcg45FKpHQ3yhjfaGXs1Pi0St9X8K6I25VMHWRfQnfs4ryAS08+LaCSG0k/xjzD77c9yWvbHuFNQVreGbiM8QHt09Q61Sju8xPQEjvv+Bl+GQWPstro29u1FM4HjGDIHYYFGU03a7UwaR74dM5jaVI0YOwXPYOW2wlPLPxWYosQonEmOgx/Gvsv0hqyS6ylUgkEs7uF8mitQcoqLY2abtyZDzxoVqufmcjeVXCqvv5A6N54sIBzHlnY5OVzI835fHAtHQe+9o3W+uWM3rxTWZjuUdhjQ2FTMK4VCPrD1Q22Vcpk/LI+f3435pcvtsp6FD0igjiwXPTGRxvQCkXdVW6go6cm+HBKq4ek8hHG/Oot7sYnhjKtrxqbpvSi/hQjc/3MkKnYlKfcJ/StnMHRGFswRa8WyBTwMh5kLm0SUAVgNAUoSyweHvT7aNvhaATvN6cBC63i5zqHB7/63H2Vu8FIC00jSfHP0nfsL7IpT3+kfC0ob3np93pIrvYzD+/2kVWkRDgT4vS8cJlQ3jswv7MfnuDT4bJ1CN2zUez0I7lsQv7s3Zvuc/2YJWcv03pjUbp+12L0qt49IL+/OPLnT5tD56bTkRwO16PdJHQ/xLI/rLpdokUpj8HIV2YTXsC5JnyeHrj0/xV9BcA0UHRPDL6EUZHjxZL1EVEugE9Xo2zrq6O3NxcYmL824J2F3YXm0nsyvKgA78L9aaxI9q12/QwDyWWcJL1bXMl6mxM8SPQleWgqvG1CmwrcqmcK9Kv4KFRD1FgLuCyby7j6/1f4/WXEyvSvUgaDzeuhuRJwgpWRDpcugjOeEjQSDkRgmPgqo/hrMdAHyscN/hKuOln+Obupjov9ZXkmA5wx693NgRXADaWbOT6n66nuK64nf9AAY8Xnr54IHPHJhGuUxKqVXDD+GSuGJnADR9sbgiuAPywq4SlGw7x5W3jOSs9gmCVnGSjlgsHxzKtXxSfzB/LsMQQdCo5/WP0LLp2BFeNSmByWjhpUTp0Kjmjj9gn/+fyQfz9vL7Eh2oIVsk5p38kX942nu+3FzYEVwByyy3c9UkGdS2UFYn0XAwaBfedk8ZLs4bw8cY8bp6cwt1T+/D6r/t55pJBXDe+8Xs5a2QCC+cOJ1ynYnKfxu/f4xf2558X9Ce+K++rJ4rHBZe8DUOvFjJagiJg9Hy49G1BzDp5IqiChZXzy96FyQ8IYvTtTEFdAdevvL4huAKwt3ov16+8nsK6wnY/n0jPIb/aypxFGxuCKwB7S+u44n/rCdEoWHbrOKYcuf4nhml59IJ+3D8tndQIHQvnDqdvdDA6lZyRyaF8dvNYpvaN5IFz07nv7DSi9Cr0GjmXj4jnmzsnBiyVV8hkXDA4hqU3jmZIvAGdSs7AOD3vXTeKy0fEo25PEXOJDCbdB+e9INisq/TCAuS8H0Gh9V1k6UaUWEq44acbGoIrR7fd/dvdYnm6iEg3QeLtYW99DzzwABdeeCFJSUkUFRXx+OOPk5mZSXZ2NhEREcc93mQyYTAYqK2tbZWDUWvwer0MfmIV5w+K4eJhHWO7epwRwFe3CQ9sQ69u155/z9/N/zKT+PvYQs5M6EL76ZNE4nbSe/VTlA66lMLR8zrsPFaXlY93f8y6onXMSJ3Bv8b+C62iB7wQdBFdMT/9Yq0RtBGkCqGsrjV43IJTgdcjZK/8+gxsWthkl5opj3BH3Q62V/iu2AE8O+lZZqTOaN35A+Bye/jvqj0sWnuQs/pGMiU9ApDQKyKIBb/sY31upd/j/u+SgcwcEovF7kImlRAR3ChaW1PvwOp0o5JJCTsmjbuwuh6Xx4tGIWuwfvZ4PBTW2PB4vehUcr7KKOTf3+/2e84Zg2P4z2WD0arElfWupqPmZkWdHafbQ5BSRkZeDaUmO1aHG5VSiscD6/ZXsCq7hCtGJDA0MQSAZKOW0SndvDToKM56IbCa/aVQKpRyhiA4v/cnwV3o7Cdg2LXgsrbtenMcHG4H/93yXz7J+cRv+5y+c3hg5AMo/OnBiHR72jI/7U43z6/M4b11h/y2XzI0jpAgOUMTQkkM02J3eVi2JZ9l2wpZPG8UZ6ZHUmmx43B50ChkTZy73G4PFRYHXq8Xg1aBRnFi1/Lqegc2pxuVXEZYR2Sp5W+Cd8+BQVfA8OtAoYHafPj5SWHOzv8dDIFLabuS1YdXc9/v9/lt6xvWl/+d/T/CNGGdPCoREZFj6XFPrQUFBcyePZvKykoiIiKYOHEiGzZsOKHgSldRVGvDbHd1XQZL8XaoyYNRN7V71yWWHWjkRrIrDJyZ0IUOMCeJV6bAHDMI476fKRx1fbuVTTVHI9dw46Ab6W/sz5LsJeRU5fD61NeJ03VFoE3khNGECD9tQSoT7FdBKA04/IfPLvbIvmQd/ixgF+uL1rd7gMXicLPxQBVuj5fV2aWszhYcgr66bTy7CmoDHrd2bwVXjognWO3r4hCiVRLi5xh/ji5SqZSEI9dCi93Fz35seY+SkVeD2e4SAyynMOFHAnJlJhsLft5HRn6N3/02HqwiJkTNi6v2cu6AaIYlhKDoCeVjdjMUbAK3E3YtF36OZe9KGDFPyHbrQCxOC1tLtwZs31a2jTpnHaGy0A4dh0j3o9bqJCOvJmD7jsJaLh4Wy92fZvq0ZeRVc2Z6JMYg/+U7MpmUKH1gB7lAhHa0vfrRsrydXwg/zXF2X5HpjUUbA7blVOVg99gDtouIiHQOPe6p9dNPP+3qIZw0u4+kXCYZuyjAkvWVULYQltqu3VqcFvLNh0kyWNhSYgR6ToAFwBQ3nJC8TehKs6mL7jhBQYBxseNI1CfyWsZrzP5+NgvPXsgAY8eeU6QbIVcLc7C0afqutL6KcG04JZYSv4cl6dtfg0UplxAToiYjH2L0aq4YFY9MIsHp8RCpV2Eu91+WExeibvcXWqVcSnxoYNvNKL0KVVfpVol0KkKWk/CSFqySMyI5FKlEwtbD1dRanUTpVdTUC84eiaGanhFcAZCphEBr9SH/7YYEkHe8DpVKpiJaG92kPOhYorXRqGUn/yIs0vPRKGREGdQQQCf32LnXnC6zRW8rLQnay1XCvO2mJOgD68MY1UZkkh5ybRQROYURn1w7gd3FJnQqecekOR6Pmjwo2AzJE9o9SyOnKgeQMixCTlGdnOK6nnVRrzem4tSEELbvl045X5wujkfHPEqYKowbVt7AttJtnXJekW6ASgcTfVN6wzM+4sZel/g9RCqRMi1pWrsPRaOQM39SKh/eOJqXrhxChdlOUa0Nu9PDfy4bjELme52QSODyEScu1GyxO9lXauaVn/dy72eZfLTxMAcrfJ0mFDIp149LDtjP7VN6N0k3Fzl1CdYouHFiCg+em85zlw0mSq/GqFPy75kD+OcF/bh8ZDzfbi9CIoFzB0aTU2yi2uJoON5sc7K3xMx/Vubw0LLt/Ly7lJJaWxf+RUfQhMCkBwK3j/1bpwRYtAotNwy6IWD7vIHz0CgCBztFTl2CNQpumJAcsP3acUl8u73IZ7taIWVsShiHKy0sWnuABz7fzmeb8yioqu/+mnNRAwTdI38MmdNhpXrtwZSEKcgl/tfHbxh4A+GawG5sIiIinYMYYOkEsotNJBm1SDqoDKVFdi0TRDajh7R719mV2cQExdDXCFKJly0l3Tfi7xeJFFPsUIz7f0Pi7hwxzWBlMPePvJ9EfSJ/+/lv7Cz3r70hcgoS1R+mPia4FBxBUriNc6JG+5QBKaVKXj7zZaKDojtkKBE6FZ9vzmf2oo18vCmfzzbnM/fdTby1Jpd3rh3ZZF+FTMJzlw7CqDuxQIfV7mL9gSrOe2UtL/+8jy8zCnn0y11ctnA9OcW+WW6JRi3PXjIImbTp9fGWyakMO6K5IXJ6EGNQs6fEzO0fb+Ozzfl8saWAuz7N5K/cSuIMGmrqnTxx4QCWrD/Mea+u5efdpdTWOzDbnCzfVsi0BX/w5u+5fL6lgJs+2MLcdzdSVGM9/ok7mtjhMPH+poscUhlc8CKE9eq0YfQO6c3dw+5Gesw1SCqRcu+Ie+kV0nnjEOl+xIVoeGBaGsdehiUSuHVyKv1j9fSKbOpME6SUsfTGMRRUWznnpT94+vvdLNtWwMPLd3LBa3+y1491c7dCHwfXfOkrXp80QRC178bBxkhtJK+e9SqqZlk205Onc37q+U3mt4iISNfQ40Ru20pXiGie8cJv9IvRc10LK7UdQl0JrLgZ0s4TMljakWpbDW/veJsJceNJDE7kf5kGwrVunppY1a7n6WhUtUWk/PESe8/7P2qTxnbaeW0uGy9tfYlyazlLz1tKsiG5087dnek2Ircdhd0sCN8WbhOeXmOHQVAkNbiotFaSXZlNkCKItNA0IrQRPg9Q7cWqrBJu/tC/HsNzlw0ixRjE9oJaNAoZMSFqPt6Yxz1n92FwfMhx+z5YXseM1/7E4vC17hyaEMJbc4cTbWj68FrvcFFhtrOryITD5WFwvIEInYpgjSi42V3ojLnZ0vfyhcsHExeq4Z21B/n1iG6PTCph1T2T8QJnv7TG73HXjUvi0Qv6o+zqUjObCSxlgn27VA4xQwWrWGVQpw7D4rRQaa0kqyILJDDAOACjxkiQonPHIdK+tHV+rtlTxoqMQi4eGsehSgtuj5deEToUMgnLtuaTHq2nd6SO3HILIVoFBo0ClVzKvZ9tp9bqWz7UNzqYj24ag1HXjRfePG4wFUHFXqgrExZB9LGCy1c3x+F2UF5fzr6afZgcJvqH9SdcE06IOqSrhyYiIkIP1GDpaVjsLvIq65k+oGNWoltkx+cg10D8qHbvOrsyC4VMQZxOEOZLD3Pwa54GhxuUPahSyK6PwRYcjXHfr50aYFHL1dw17C6e2/Qct/9yOx9f8DEG1QnaAIv0XFTBwk8zPaQQIEQV0imryDX1Dj7ccDhg+2eb8pnQ28hXmUU43R5KTYJgXrRexaA4w3Ez8Q5WWvwGVwAy82uosTp9AixapZxEo5xEo/iSd7pyvO/lxxvzGNfL2BBcAXB7vGw6VIXHE3id6LMt+dx6Ri9iQrp4RVqtF36Mvbt0GEGKIIIUQSTqE7t0HCLdh3q7i/fWHWTN3gq+ziwi1qBGKpVQWGPluzsn8t2OEr7KLEYllxKpV2Gxu6mzuXhp1hC/wRWAnBIzVRZH9w6wSGUQkiD89DCUMiVxwXHEBYuGCSIi3RExj6yDySkx4QWSwzv5xaGuBPb/DCmTQN7eGgZesiqzSNDFIztSB9rX6MDulrKjvBvfTP0hkWCOHUrIob+QOjs3lVyn1HHnsDuptFXyyNpH8Hg9nXp+kdMTh8uDxR64JM5sd6GUyyiotjYEVwCq6p2cSL5jna3lcjuHS/yei/hyIt9LtcI3em+yOrE6/Qf0AGxOD57TK1FXROSkcHq8mG2Nc6io1kZBtRWvFzweL64jAUy7y0N+lZUqiwOFTNLivANwuMVrvYiIyOmJGGDpYLKLTMilEuI7e/Us81NQaCGh/bMyCusKqbbVkGxIadgWpXUTqnazqbiHBVgAU/wwZC4bIYfWd/q5o4KiuHnQzfxZ+Cfv7Xqv088vcvoRplVyVr/IgO0Te4f7tey8eGgcJSYbOSUmcsvrMFkdvgcD6dGB09MjdCoMYtmPiB90KlmrvpdjUo0MiQ+c/TcmJYwg0eZbRCQgwSo55w/yn2VtsrnoH+N7Tbc43ITrVEgDJDQaNIqOt1oWERER6aaIAZYOJqvIRHyoBrmsEz/q2kLI/QVSzuiA7BXYWZFFkEJLpLaxTlUiEcqENhapT2iVuzvh1BqpD03C2EluQs0ZFDGI81PO5/WM10XRW5EORy6XMmNQLFF632BoqFbB1L6RrNlb1mR7rwgd8aFqLl/4F9MXrGX6gj947Jts8iotPn2EBSm4cqR/x6FHzutLnKH7igeKdA35VfXc9/kOzukXFfB7eZaf7+WU9AiiglUkhwcxwo8gslwq4V8z+otOVCIiLSCVSjhvYIzfuffunwd4bEZ/v4GU/WVmbpiY4tsA/POCfkQF97wFNxEREZH2QAywdDC7CmtJ6mxdgcylQq13wuh279rpdpJTuZtkQzISmt5x+4U5KK2Xk2fueauF5rhhGPK3ILfWdsn5Z/aeSWJwIo/8+QhWVzdwvRA5pUkOD+KT+WOZNTIerVKGSi5l5tBYvrh1PAlhGqb1j0Yhk6BXy7l5cipvzBnGNe9uouiI7a3T7eWrjEL+9tE2Cqrrm/QdEazm7rP78ORFA4gP1SCVwMA4PYuvH8WktHDkXS02KtKtKK61MnvRBlZmlfDIil18eMMYrhjR+L28eGgsn948FokERiSFIpNKiAxWccdZvbl6TBJymZSIYDVvXD2Ce8/uQ1iQErlUwqQ+4Xx9xwTSonTHH4SIyGlOXKiGL24dz9WjExvm3mXD4/j3zIEg8fLW3BGMSQlDJpUQoVNx25m9SI3Qcd24ZF68YgiJYVqkEugfo+eDeaOYNiAKWWcuLIqIiIh0I0QXoQ7E6fYw4LGfmD06gekDYzr0XA1UHYBv7oQBl3RIgCW7Motvc7/nwl4z0CmaPrg63fDkX0auHWDmir7d3KKvGTK7md6r/83hiXdQPuCiLhlDUV0RT65/kqv7Xc39I+/vkjF0Nae8i1A3w2xzUmURSn1CtQr0GmGl32J3YrK5kCDB6/Vy1dsbOFxV77ePT+aPYVyvcL9t+VX1eLxeFDIpsV0tMirSJjpqbjZ3DgpSynnw3LQjwRQpIVo5c9/ZhNnu4spRCaRHBWO2Ofkqs4hNB6tY/rfxjEgKBcDt9lBR58Dj9RKkkqMXy9FEThPaa37anG5q6h14gRCtggqznbnvbsJidzFrZAL9YvSYbS6+3V7E+gOVLL1xNBP7RFButuPyeFDJpYQFiZkrIiIipzc9L9WgB7G/rA6H29O5ArcZH0JQOMSN6JDut5ftJEob4RNcAVDIoE+ogw3Fqh4XYHGrgrFEpGHc90uXBVhidbFc1OsilmQvYXrydAaED+iScYicPgSrFQSrfV9Cg1QKglTC9j0lpoDBFYCth6sDBlgSwrTtM1CRU5Y1e8ub/G5xuHji2+yG31fdO5kDFUIp2uu/7vc5fnt+TUOARSaTEmVQd+BoRURObdQKWROXN5vTyuFK4fr/5u+5PvtvPlTNxD4RRIjlQCIiIiINiPl7HcjOwlokQFJYJwVYyndD/ibodbZgP9fOVNtqyDPnkRoS2Gayb5iD7AolZkfLVq7dEVPcMIJLslCaSrpsDOcmn0u8Lp4n1j+B29OyQr+ISGegkElRHSnridKrmNDbyOB4A0fdmqPFF1qRNhAf6huEC9HKuX58MndO6Y3qmO+fP/zpRoiIiLQPcqkUtUKYf5HBwvV/iHj9FxEREWkRMYOlA9lVWEtsiAaNsv2DHX7ZugSCoyFmUId0v6M8E5VMSUKwfwFLgH5GJyv2SdhcrOaspJ6lJWKOHohbpsK47xeKR1zdJWOQS+Vc0/8antn4DJ/v/ZzZfWd3yThETl8qzHYOVVpYlV2KTiVn5l4oqDoAAQAASURBVJBYrh6byKC4EBwuDzsKaggLUnLv2Wl8viWP4YmhPn04XG5Kau2s3VfOgQoLo5JDGRwfErBMqKbeQXGtjZW7SnC4PEwbEEVimBajTnx5PhUorrWyu8jEX7mVxIdpOTMtgmiDGrVCxvQBUbzwUw4eL0il8PbcEYRolazKKsHqdFNhsfPylUO585MM3J6mFc0quZTB8SFd80eJiJwGROlVXDM2ib4xetweL9vzawgNUnLP2Wks25rPmJQw8qrq+Wt/BfvK6hieGMLQhBDi/ARORURERE4XxABLB7KjoLbzyoOKM6FkBwybC5L2T0xye9xsL99JkiEZmSRwwEiv8hAf7GRDUc8LsHjlKupiBmLcu5ri4XNoWKLpZHqF9GJS/CRe3fYq05KmYdQYu2QcIqcfpSYb932WybrcyoZti9bm8tVtE7lpyRYOVjS6BkklsOCqoRiDmjq0uNwetuXVcN17m7C7PAC8++dBIoNVfHbLWFLCm5YXVlscLPw9l7fXHmjYtnBNLtP6R/H0JYPE1PMeTn5VPXPe2UB+VeP9QC6V8L9rRjCpTzjRBjVvzBnOnZ9ksOSG0XyVWcjnWwoa9n3nz4NcOCSGl2cN4a5PMxu2qxVS3r9+NNF6cQVdRKSj0KrkXD0miRs/2EJueWPpt1QCL80aggQ49+U/sDqFjNt3gXCdkk9vHkvvyOCuGbSIiIhIFyOWCHUQTreH3cUmUjslwOKFbUvBkACR/TvkDHuq92B1WeltCFwedJS+YQ62lKhwejpkKB1KbfwINLUFBJXt6dJxXNbnMrx4eS3jtS4dh8jpg8fj5bsdxU2CKwAXDIrlxdV7mgRXADxeuO+z7dRanU22l5rtzP9gS0Nw5ShlZjsPLdtBTb2jyfbc8romwZWjrMouZe2+cp/tIj2HOruT//t+d5PgCoDL4+VvS7dRarKjUcqZ0jeSPx46E6vT3SS4cpRvtxcjkUj44IZR3DW1N6/OHsrqe89gZFIoCtGVSkSkw6i22Hnll31NgisgXP/v/2IHNpenIbhylIo6B3d/mkmVxd6ZQxURERHpNohPJh3EnhIzdpeH3pGdYBFZuE3QX+l9dodlXWwt3UpUUBQG1fHV6fsbHdS7pOwsVx533+5GfXhvnGoDxr2runQcwcpgLu59MSv2rSC7Mvv4B4iItJHyOjvvrzvos31yWgSrskr9HuPyeNlyuLrJtsOVFsx2l9/9Nx+qbnAtAnC4PLy/7lDAMb2z9qD4kN6DqapzsDrbv6aVw+1hV2EtIAhrapVyPlx/OGBf7687hNPlZVVWKXtLzCSEacXgiohIB1NV7+T7HcV+29weLxsPVHJW30iftqwiU5NrvYiIiMjphPh00kHsKKhFKoEkY0fXoXoF56CQJAjv0yFnKKkroaiumPTQtBPaP1bnJkTlZkNRD0zdlkgxxQ/HuO9XJK6ufTg4M/5MYnWxPLfpOU4zN3WRLsDr9WJqlo1yFJcn8Pev+UO02eY/uHIUh7sxs8Xl9lBdH3ie1VqduNzid7+n4vR4aeGr4xNsM9n8f/9A+C7IZRJySszsL7fgaaljERGRdsHt8Ta5ZjenyuIgTOvfDr15FqOIiIjI6YIYYOkgMvOrSTJqUck7WOA2fzNU7OvQ7JXNpZvRKXXE6mJPaH+JBPoZHWwoUtMT4wK18aOQO+oIOfRXl45DJpVxVfpVZJRlsOpw12bUiJw89XYXBdX15FVZesRKXrBawYTevnbLpSZbi6WOo1PCmvzeKyJw1l5YkBLDMbbQGqWM6QOjA+5/ZloEeo3/h3eR7o9OJSc+1L+wMcCwYwSSg1VCqVAgJvUJb8h4mTE4Bqm05znViYj0NNQKKWlRga/p43oZcbg9vDhrCG9ePZxnLx3EsIQQ9Go5Idqel8UsIiIi0h6IAZYOYtvhmhZfNNoHL2QuhbAUMPbqkDOY7CZyqnJIC01Dwok/0PY3Oiirl3OwtufpKDuCI6kPSyYi58euHgoDwgcwJGIIL215CbtbLJXoKeRX1fPIlzs584Xfmfyf37n+/U1k5FVjc3Zf6+0glZx7z0nzscRduiGPe872nx03vpfRxxkoIljF5cP9O4394/x+RB4jSiqRSJjaN9Kv1a5WKeOmyamoFZ3kwibS7kTp1Tx50QC/bWf1jSTaIPx/L6yu57FvshgUZ/ARTQbQq+XMHp3Aq7/uJzFMywg/zlUiIiLtT2JYEI+e38/v+t3IpFCiDWpiQzQ89W02t320jVd+3sd5g2JYdO1IIkWBchERkdMUMcDSAdRaneSW13W8gnreRqjMhV4dm72ikCroZUg9qeNSQ5yoZR7+KuyBZUJAbcJo9AXbUJr86wd0JrPSZlFaX8rS7KVdPRSRE6CoxsrsRRv4OrOoobRmR0Etl7+1ntyyuuMc3bWkGIP46vYJTOojZLKo5FLGpIQxIimUT28ey4BYQYNJr5Zz11m9efnKoYQ3s1I2aBQ8fF5fHj2/H+E64WW5V0QQ71w7knP6RyJrlnkQF6rli1vHc9nwOBQyCRIJTO0Xyde3TyAxTLT67OmMTglj6U2j6Rcj3A8NGgX3ndOH5y4dRFiQipJaK3Pf3cQXWwt44pssXr5yKOcNjEYulSCVwNn9Ivnk5rG88vNeLh8ezyfzxxATwO5bRESk/ekfo2fpjWMYFGcAhGyz+ZNSefnKofxvTS5vrTnQIHZeYrLxzA+72V5QK5Y2i4iInLZIvKfZFdBkMmEwGKitrUWvP75ga2v4bU8Z897fzMuzhhJt6KgAgxe+uUv45+j5HXIGq7OehdvfIj0snUHhg076+E926zDZZbw5rec5gUhcdnqv/jelgy+jcPS8rh4OH+/+mL+K/uL7S78nXONbxnGq0Bnzs6P5bnsRd3yS4bftzLQIXp09rNuXvZisTsw2F1IJhAYpG7JIqix2rA43MqmEcJ0KuSxwjN7j8VJmtuPyeFDLZYQfZzXT6nRRbXHiRQjgBKu792d0utHWuVlZZ8fmFL47EToVsiPfnV92l3LjB1sa9tMqZVw0JJaJvcPRqeWkRwWDF2j2XRQREWmkM+6d+VX1ON0eJBIJUcEqSkw2znpxjd99g5Qyfrp3MvGhYpBcRETk9EPMYOkAth6qJkSj8Jv23m7kbYCqA9B7aoedYlPJZsBL2gmK2zanv9HBgVoFJZae90DslaswxQ8nYvcPSNwti3Z2Bhf1ugiJRMLrGa939VBEWsDr9bIyK3DW04aDlVgcXf99Oh56jYK4UA0xIZomL7RhQSriQrVEGzQtBlcApFIJ0QY18aHa4wZXADQKObEhGuJCNGJw5RTEqGv87siO+e78mlPWZL96h5tPN+dzxycZzFu8GS8Q4+e7KCIi0rkkhGlJjdCREh6EViUnv9oacF+Lw92Q1SIiIiJyuiEGWDqAjQcrSYsORtJBZTt4PZD5EYT1grCTK905USzOeraWbSMtNB2VrHWBor5hTuRSL+t6aJlQTdI4FNZqQg7+2dVDQafUcVGvi1ixbwU5VTldPRyRAEgkEmIMgcsXwrRKZB11XRAR6YHEHMnylEigX0wwwxJCCFYJ2l0GjQKpOF9ERLolenXLGnvN9bxEREREThd6ngJpN8fmdLM9v5arRid03EkO/wVVB2H0LR12ivVFgoNO37D0VvehkntJC3XwZ4GGy9Is7TW0TsOuj8Fi7EXUri+p7n1mVw+HKQlTWJO/hmc3Psvi6Ys7LoAn0iYuHxHHorUH/LbdOCmViE4W/qt3uCgz2Vm7v4Iai4OJfcJJCNWikEspNdn4fU85Ho+XM9IjiDGoAzo/lJlsHKywsOFAJdEGNeNSjUQb1Cg72ilN5JTmvIEx7C42c8XIeLYX1FJnc3HTpFTKzDZq6h3YnG5q6h2iI4mISBdyuNJCXlU963MriQpWMaFPOJE6FRE6FeV1vgL8wxJDMAaJIrciIiKnJ2KApZ3Zdrgah9tD/5gO0o/wuiFjKYSnQVhyh5yi2lZDRnkmg4wDUbYye+UogyIcfJYTTHm9lAitp51G2HlUp0wkfssHaMv3Uh/RulKp9kIulTO772xe3PoiPx78kfNTz+/S8Yj4JzZEw9MXD+SfX+9qYlN+ZnoEFw6O6dTAmMXuYuWuEh5Ytr1hLC+u3svzlw4it7yOt9cebNj3uZU5zB6dwAPT0jE2E64tqrFyw+LN5JSYG7YpZBIWXTuS8b2MYpBFpNXoNXIm9gkXyoGOmS+jk0P5z+VDmPry78wa4f97KSIi0vEcrrTwt6XbyC42NWyTSyW8NmcYH944miveWo/Z3lj6Gq1X89KsIYT6cQQTEREROR0QAyztzF+5lejVchI6yv0i93eozYdxt3dM/8AveT+jkalJD2t7QKGf0YFc4mVtgYZLe2AWS130ABxaI9Hbv+DA2Y929XAYED6A4ZHDeWHLC0yOn4xO2dFW4CInS7BawcXD4hjfO5y1+8oxW11MSgsnLkTT6S+IJbW2JsEVAGOQEpVC1iS4cpRPNuUztV8UZ/eLathmdbp4efXeJsEVAKfby81LtvLz/WeIbj8irabS4uAfX+6kudz+pkPVfL4ln1smpvLmmgM+30sREZGOp7beweu/7m8SXAFwebzc+XEGP90zmR/vmURmfg0Hyi0MijfQNypYdPoSERE5rRELJNuZP/aVMzDO0DF1424HZH4I0QPBEN/+/QP7qveRW3OAYZHDkEnaHn/TyL2khzn4Pa+H3mwlUqpSJxGWuwalqbirRwPAVX2vwmQ38UbmG109FJEABKnkpIQHce24ZG4/qzeD40O6ZPX9+53FPi+u0wZE8XVmUcBj/rcmF9Mx4oSVdQ6+yiz0u6/D7SEzr7pdxipyevL9Dt/v6FE+3pTHuQNjAN/vpYiISMdTaXHwzXb/9wuXx8v6A5XEh2qZMTiWu6b2YUp6pBhcEREROe0RAyztSJXFwc6CWgbFGTrmBDnfg6USep/TId1bXTZWHV5NnC6WhOD205AZEmlnb7WSorqeWUZQmzAat1JLTOZnXT0UAMI14czsPZOPcz4mqzKrq4cj0o0pqbX5bNOpFNTUOwIeU2Vx4nA3lvM53V6c7gBvwECZ2bf+XkTkRCkzBf7+1FqdyGXCYkXz76WIiEjH43R7sbsCz7tys+89RkREROR0RwywtCNr9pbhBYYkhLR/53YTbP8E4keCLrL9+8fL6kOrcbjtjIwe2a499zc6UMs8/HK4Z5YReOVKqlInE56zEqW5tKuHA8A5SecQr4vnsXWP4fSIq7oi/pnaz/dasbvYxMjksIDHnJEW3sQdIkglI8kYeO6OSApt2yBFTjvKTDYKquuprLNxZnpEwP2GJ/4/e/cdHkd1NXD4t70X9S65927jgg3G9BYgCb1DICQhBD4IIQQSUkgoCSQk1NBDDb2FDjbNFfferd7LrrbX74/Fkte7K0u2mqXzPo8e0NzZ2StZs3PnzL3npLUFCff/uxRCdD+PP0Rli5fKFi8ufxCDRsnwLFPK/WcNzejF3gkhxOFBAizd6OONtQzPMpHWE9UO1rwIkRCMOL77jw2sqVvL5qbNzMidgVHdvYEQjSqW7PaTPQYiqR+E92vNQ+YS0ejJX/lcX3cFiCW8vWLCFexo2cET657o6+6Ifmp8vpWhmfGD4292NrBgdBY2gyZhf5NWxaVzhsQlrc226Pnd6eOSHn9asZ2itMMzcCp6X5PbzxurKvjBI4uZd89CTv/XN4zMMTMsM/EGTqmAX500mvs+3pr071II0b32NLi55fV1zL93IUfd8zk3/nctapWCX58yJun+EwtsFKbJciAhhNifBFi6iS8YZtHWeqYV98DT3KbdseVBw48FnaXbD1/mLOOTsk8ZmTaCEktJtx8f4IhcH3UeNatrD88qEFG1jsYRx5G59SMMTYnJQftCibWE04aexqPrHmVDw4a+7o7oh3JtBp6/ahbnTC9Eq4p93I/Ls5Jv1/PgBVM5ZlQWe9NFHTk8g4cvnta2JGNfM4em88wVR7Q9yTRoVFw5dwgPXzSNzF4uOy0OT75gmBeXlXHjK2upaPYCUO3w8ePnVvLEZTP4/tSCtr/R8flWnvvRLFbsaSLDrOONn83tucTxQggqmjz88JHFvLuumlAkSiQKH2+q5eR/fMWYXAtPXDaDEdmxpPp6jZKLZhXx0IVTKc5IPbtFCCEGK0U0miq93MDkdDqx2Ww4HA6s1u4rpfzB+mp++sIq7jtnMvndmeArGoH3bwZvM8z5Oai6d4p0jauGl7e+TLo+naMLj0ap6JmYWzQK/1hpZ6gtyB1zD9OkmJEQQxfdh89ewLbT/wq9WG43lVAkxF3L7yIYDvLq91497KsK9dT5Odh5AyGa3AHCkVhZ3BeXlfHolzs5e1ph23KhdRUtvPJtBWdPL+Tmk0ahUSXOFqhv9eMJhFCrlGSZtTKjYBA51HOzvMnD8fd/kTSfQ4ZJw/9+cRTeYJhwJHYDp1EpCYQi2AwarElmWwkh2h3K+RmORPn3l7u458MtSdt/fPQwfnniKGocPnyhCGqlgiyzDoucl0IIkZTMYOkmb66uZFimqXuDKxCbuVK/Bcad2e3BlVJnKS9vfRmL1sLcgnk9FlyBWCxidr6PpVV6at2H6U2ZUk3d+O9hq1xD+s5Ffd0bILZU6JpJ19Doa+T2b25nkMVLRScZtGoK0owUZxhRKBR8urkWpzfEU9/s4WcvrOJnL6zi0S920eQO8NnmOhzeUNLjZFl0lGSYKLAbJLgiuqTJHUiZLLPRHaSqxcfQTDMjss0UphnJseopSjdKcEWIHubyh/hkU03K9s821+H0hSjOMDEqx8KwLLMEV4QQogMSYOkG9a1+Pt9Sx1EjUyfrOyiOSlj5NBTPhvSh3XbYSDTC0uqlvLL1v6Tr0zmmaAEaZc8nD5ye48OgjvLm9sN3Sqk7ZxzOvEkUf/0gam9LX3cHgGxjNldOuJLPyj7j3+v+3dfdEf2cRqXo8KbVZtCgUcmlQXQvrbrjvymdRv7mhOgLGpUiaU6uvWwGDRpl38/YFUKIw4WMaLrBy8vLUCkVzBuZ2X0HDQfgi3tiOVdGndxNB42y27Gb/2x8li/Lv2RM+ljmF87vleAKgFYFcwp8vL/LRLPv8P3Tq51wFopIiCGL7outfeoHpudM56zhZ/Hgmgd5b9d7fd0d0Y8ZtWqumjcsZfuPjx7W4WBbiIORYdYmJFzeq8BuINMkuXyE6AtGrZofHXWAa0JPFG8QQogB6vC9y+0nfMEwzyzZw7wRmZh13RWoiMKSh8BRBpMuAPXBDzwj0Qg1rhoWVy7m8fVP8srWVwlHo5xQcgKTsyaj6OU8IvMKvCiJ8tLmwzdXSFhvpWbyuaSVLiF37St93Z023xv+PeYVzOP2r2/ns7LP+ro7oh8bl2/h4tmJCa3PnJzPjCFSdll0v2yLnocvmpYQvLPo1Dx2yXRybPo+6pkQYlyehUvkmiCEEN2id6YuDGDPLy2l2R3ge5Pzu++g61+FHZ/CxHPBduDjhiIhHH4HzoADR8CJ099Ki7+FJl8TTd4GgpEwGpWGAlMeU7KmkGPM7r6+dpFRE2VBsZf/7TRx6jAPQ2zJcz30d67c8TSMOJbCpU/gsxXQMnReX3cJhULBZeMuwxfycdOim7hz3p2cPuz0vu6W6IfSTTp+eeIoLpxZzIcbawiHI5w8IZeCNAPpMpNA9JAxuRbe/8U8vt3TzPpKB+Pyrcwcmk6+TUq9CtGX0k06bjpxFBfINUEIIQ6ZVBE6BA0uPwv+toiZQ9K5qoPplV2y6S1Y/jiMOB5GHJfQ3BpopcpVRY27mjpPPQ3eBloDrez9R1QCBo0Rk8aEWWPGrrOTYcggXZ/eo0lsuyIUiVUUytBHuG9BA4dtuodohPxVL2Cu2ciOk/6Ao2RWX/cIgHAkzDMbn+Gbqm/46eSf8pPJP+k3//YHIlWEhOif5NwUov+S81MIIfoPmcFykKLRKL95Yz0A584oOvQDRsKw6lnY8DoMnQ/DjwXAHfRQ6txDqbOUUmcpDr8TAJPGgE1np8BSiFVrwaIxY9SaMKqMvb7sp6vUSjh7lItH19h4doOFKye19nWXDo5CSdXUCyhY+TwjP/wde476BQ3jTuvrXqFSqrhywpVkG7N5dO2jrKxdyR/n/pECc0Ffd00IIYQQQgghBiwJsBykf3y6nY831XLjCaMOvYyksxK+eQDqNhMZfSoVGSXsrviS3c7d1LrrALDrbOSYcpmYOZFMQyYG9eE9pXqILcSpwzy8stVCuiHCWSPdfd2lg6NUUzn9EnI2vMXQL/+OtWoNZXOvJWSw92m3FAoF3xv+PYbbh/P0hqc5860zuXLClVwy7hIsWkuf9k0IIYQQQgghBiJZItRF/lCYez/cypNf7+a8I4o4a8ohzApw1RDe8AbKbR/iV+tZnJ7PmlALwUgIvVpHrimXXGMuuabcwz6gkkw0Ch/sMvJFhZEzR7i4YmIrevXh++doqVxNzoa3UESj1Ez6IXXjzyBk7PvkcN6Ql/d2vsenZZ+iVWn5/ojvc8bwMxiTPqbfzXaSac5C9E9ybgrRf8n5KYQQ/YcEWDqpyR3go401PPbFTsqbvVw8q4STJ+R28tVRXAE3Ta4qvPWbiNRuwF63jVxXIz6Fgm/1OlYbzaSZssk25pBrysGus6Ogf9389oRoFJZU6fnfLhM2XYSzRro4qtBHrinc1107KCq/m4ztn2IvW4YiEsZZMAVH8UxcOePxpg8houm7ShnNvmY+LfuUbyq/wRlwkmvMZXb+bCZnTWZU2iiG2IZg1fbtwEwGiUL0T3JuCtF/yfkphBD9x6ALsDgcDux2O+Xl5R1ehEKRKLe+vYWPNjcktM0aYqPApqfWW8fK+m8JReKDAbpohNleH5nhSId98SoVNKk1KJVa1Eo1DIKASipNIQtrfCMStiuIcFvOS0wy7O6DXh08XTjA8JZKzEHvAfd9a9R8ludP6IVexYSjYbY7trPdsb1Lr/vllF/y/aHf79S+FovloGbHdPb8FEIcHDk3heifDvbcBDk/hehph3J+isFn0AVYKioqKCo6cFJahdZAwTVPoDLa4raHPY62/1fqlCi1iSebMgq2SOrgSvS7L5HIjYEg8TltfqF+mcs17/VRjw6dNhrF3MG/+CKNjp9aM3qxR/GUWiVK/YGrDLk2uNjztz2dOubBPkXr7PkphDg4cm4K0T/V1dWRlZV1UK+V81OIniWzw0RXDLoASyQSoaqq6pAikU6nk6KiInlScBDkd3fwDqff3cGeX91xfnaXw+n3fSjk5xx4OvpZB8K52VmD4d9cfsbD396fr6WlBZvNduAXJNHV83Og/067Qn4X7eR30W7/38XhdO0TfW/QVRFSKpUUFhZ2y7GsVuug/wA6WPK7O3gD+XfXnedndxnIv+99yc858HTnz9ofz83OGgz/5vIzHv4O5ebtYM/Pgf477Qr5XbST30U7+V2Ig3HgdQFCCCGEEEIIIYQQokMSYBFCCCGEEEIIIYQ4RBJgOQg6nY477rgDnU7X11057Mjv7uDJ7653DZbft/ycA89g+lk7Mhh+D/IzHv764ucb6L/TrpDfRTv5XbST34U4FIMuya0QQgghhBBCCCFEd5MZLEIIIYQQQgghhBCHSAIsQgghhBBCCCGEEIdIAixCCCGEEEIIIYQQh0gCLEIIIYQQQgghhBCHSAIsQgghhBBCCCGEEIdIAixCCCGEEEIIIYQQh6jfBFjuvvtuFAoFN9xwQ8p9nnnmGRQKRdyXXq/vvU4KIYQQQgghhBBCJKHu6w4ArFixgscee4xJkyYdcF+r1crWrVvbvlcoFF16r2g0SmtrKxaLpcuvFUL0LDk/heif5NwUov+S81MIIfqPPp/B4nK5uOiii3j88cdJS0s74P4KhYLc3Ny2r5ycnC69X2trKzabjdbW1oPtshCih8j5KUT/JOemEP2XnJ9CCNF/9HmA5dprr+W0007j+OOP79T+LpeLkpISioqKOPPMM9m4cWOH+/v9fpxOZ9yXEKJ/kPNTiP5Jzk0h+i85P4UQov/q0wDLyy+/zKpVq7jrrrs6tf/o0aN56qmnePvtt3n++eeJRCIceeSRVFRUpHzNXXfdhc1ma/sqKirqru4LIQ6RnJ9C9E9ybgrRf8n5KYQQ/ZciGo1G++KNy8vLmTFjBp988klb7pVjjjmGKVOm8I9//KNTxwgGg4wdO5YLLriAP/3pT0n38fv9+P3+tu+dTidFRUU4HA6sVush/xxCiIMn56cQ/ZOcm0L0X3J+CiFE/9VnSW5XrlxJXV0d06ZNa9sWDof58ssvefDBB/H7/ahUqg6PodFomDp1Kjt27Ei5j06nQ6fTdVu/hRDdR85PIfonOTeF6L/k/BRCiP6rzwIsxx13HOvXr4/bdsUVVzBmzBhuueWWAwZXIBaQWb9+PaeeempPdVMIIYQQQgghhBDigPoswGKxWJgwYULcNpPJREZGRtv2Sy+9lIKCgrYcLX/84x+ZPXs2I0aMoKWlhb/+9a+UlpZy1VVX9Xr/BVQ7vJQ2eChv8TA8y0yh3UC2Vd/X3RJCCDEAtHgCNLgCrKtowahVMS7fRrZFh15z4AcwQoi+5QuGqWv1s6nKgScQZnKhnUyLDptB09ddE0KIHtVnAZbOKCsrQ6lsz8Pb3NzM1VdfTU1NDWlpaUyfPp3Fixczbty4Puzl4LSttpWLn1hGXWv7GuCR2WaevuIICtOMfdgzIYQQh7sGl5/7Pt7KS8vL27ZpVAruP3cKx43Nxqjt18MXIQY1jz/EJ5tr+eWrawmG21M9XjSrmBtPGEWGWZY3CSEGrj5LcttXnE4nNptNEoEdglqHjx8+upiKZm9C25HDM3j4omnYjdo+6Jk43Mn5KUT/1Nvn5usrK7jp1bUJ2xUK+PiGoxmZY+nxPghxuOhv185tta2c9I8vSXaH8ffzpvD9qQW93ykhhOglfVqmWRyealt9SYMrAIt3NtLkDvRyj4QQQgwUDa1+Hl6UPHl9NAqvrazo5R4JIbri1W/LkwZXAB5auIOGfWY/CyHEQCMBFtFlLZ5gh+3eQLiXeiKEOBQVrRV8UvoJTb6mvu6KEG1CkSi1ztQ3YHsaPYQjkV7skRCis0LhCKWNnpTtda0+gnL+CiEGMAmwiC7LtxtStunUSqySwEyIfu+dne9w+punc+OiGzn9jdNZU7emr7skBABGrYrJRbaU7UePykSllOGLEP2RWqXkqJGZKdsnF9oxSQ4lIcQAJiMU0WWZZi0njMtJ2nb1UUPJtkryMiH6sw0NG/jdN79jTv4c7j36XnJMOdz0xU20Blr7umtCYDVo+NVJY1AoEtvSTVrmj8rq/U4JITptwZhs0oyJD9uUCrj5pNHyIE4IMaBJgEV0md2o5c6zJnDJ7BJ06tifkEWn5pcnjuLyuUPRqaWEphD9VTQa5c9L/0yhpZBLx11KpiGTayZdg8Pv4D+b/tPX3RMCgBHZZv5z5UxKMtqr0s0ams6r18yRSnVC9HOFaUZe/cmRzBqa1ratJMPIf66cxYhscx/2TAghep5UERIHzRcMU9/qxxcMY9SqyLbq0agkZicOnpyfPe/Lii+59rNruXnGzYzNGNu2/aUtL7G0aimfnvMpRo3cwIp4fXVu1jl9OH1B1EoldqNGKtQJkUR/vXa2eAI0ewKEI1GsBg3ZFn1fd0kIIXqcLIIUB02vUVGULjdiQhxOnt34LMNtwxmTPiZu+/HFx/NJ6Sd8VvYZ3xv+vT7qnRDxsq16sq1yUybE4chu1EpQVAgx6Mh0AyGEGOj8Lnjrp4TvHc6p6z/ghIKjUOyX4CLLmMXotNG8s/OdPuqkEEIIIYQQhzcJsAghxEAWjcIbP4aNb7LHls3pbg/nbP0q6a5H5B7BipoVOAPOXu6kEEIIIYQQhz8JsAghxEC2+V3Y+j+i8/6PfxuULMwfQ/aOhZir1iXsOiVrCuFomK8rvu6DjgohhBBCCHF4kwCLEEIMVNEoLPwz5E+jPK2IOk8dkWEL8FnzyFvz34Td0w3pFFuK+abqmz7orBBCCCGEEIc3CbAIIcRAtWsR1G+BiWezunYVepWOElsJzUPmYStbjsbVkPCSMeljWFq9lEFWYE4IIYQQQohDJgEWIYQYqFY/D/ZiyJnI6vo1DLUNRaVQ0Zo/iahSRfrOhQkvGZcxjjpPHaXO0j7osBBCCCGEEIcvCbCIDjm9QWqdPlo8gb7uihCiK/ytsOVdGHYsjqCTUmcpw+0jAIhoDLizR5O2OzHXysi0kShRsqpuVW/3WAgAwuEIdU4ftU4fwXCkr7sjhAA8/hC1Dh+NLn9fd0UIIfo1dV93QPRPrb4gW2ta+fsn29hW52JIhpEbjh/FhAIbNoOmr7snhDiQ7Z9AyA9Dj2Jjw0YAhliHtDW7sseSu/4NVP5WwjpL23aD2kChpZDVdav5wcgf9HavxSBX1eLltZUVvPJtOdEonDWlgAtmFVGYZuzrrgkxKAXCYUobPDy4cAeLdzaSYdJyzfxhzBuRRZZF19fdE0KIfkdmsIgEoXCEzzfXcfajS/hmZyP1rX5W7GnmoieW8faaSvzBcF93UQhxIJvfhYwRYM5hQ+NGck05mDTtN6nu7DEoohGsFasTXjrcPpxVtTKDRfSuqhYvFz2xjPs/2UZFs5fKFi8PLdrBOY8uobLZ09fdE2JQ2lrj4rR/fs3ba6qob/WzpaaV//vvWu58bxNNbpndLIQQ+5MAi0hQ2+rnt29vSNr25/9tpq5VpocK0a+FQ7DjUyg8gihRNjVspNhSErdLyGDHb8rCUr024eXD7cMpay3D4Xf0Vo+FYOHWOnY3uBO2Vzt8vL2minBEEi8L0ZuaPQF+9/YGAkmW6r29tooap68PeiWEEP2bBFhEgmZ3AKcvlLTNH4pQ1yoXVCH6tYrl4HdCwQyqXTU4Ak5KrCUJu3kzhmKpXJOwfah1KAAbGzf2dE+FAGL5vt5YVZmy/a01lZILTIhe1uoNsrqsJWX7V9vqe68zQghxmJAAi0igVCg6bFcr5c9GiH5t50LQWSFjBFuaNqNSKCk0FyTs5kkfirG5FJXfFbc9x5SDQW1gU+Om3uqxGOSUStCqU19btGrlAa9NQojupVAoUHZw2uk1qt7rjBBCHCbkTlkkyDBrybPpk7bZjRpJaiZEf7drIeROBKWKrU1byTXloVVpE3bz2WOzWkx1W+O2KxVKhliHsKEh+VJBIbqbWafhsjlDUrZfNmcIaabEv2EhRM9JM2o5fmxOyvajRmb2Ym+EEOLwIAEWkSDHquefF0xFt9/TRLVSwQPnTyVbAixC9F/+VqhcBXmTiRJla/NWCi2FSXcNmDMJawyY6jYntBVbi9nclLhdiJ4yrcTO/FFZCduPKEnjqCTbhRA9y6xX85tTx5JpTgxu3nrKGHngJoQQSUiZZpHUlCI7H91wNK+vqmBteQtj86ycO6OIwjQDapXE5YTot8qWQTQMuZOo89TjCDgpshQl31ehxGsvSpjBAlBsKeajPR/hDDixaq093GkhINui56/nTGJLdSvPLyslHIlywcxiJhbYyLEmn1UphOhZQzJNvH3tPD7fUsunm+vItui4ZE4JJRlGLHpNX3dPCCH6HQmwDCLVDi/rKhx8sbWeonQjJ43PIc9uwJBkDa1GpWRIpon/O34U/nAYrUqFqqOFuEKI/qH0GzCkgbWA7VXfoEBBQZL8K3v5rflYahKXAu0Nymxt2soRuUf0WHeF2Fe2RU+2Rc/sYRm0+oKUNXp4eOEOzDo1p0/OJ9+ux2aQpUJCdLcmd4CKZg/vrK0iEoly+uR8StKNZJh1FKQZuGTOEM6ZUYhapZRcfEII0QEJsAwSZU0eLvj3UipbvG3b/vrRFh6+aBrHjM5OmahMqVRgUMqfiRCHjdJvIHscKBTsaNlBpiETvSr1NG6frZCMnYtQex2EDLa27XmmPDRKjQRYRJ9o9gT4+QurWFHa3LbtoUU7+cWxI7hy3lDsRgmyCNFdGl1+7v5wC69+W9G27alv9nDK+Fz+eNZ4siyxGWR6jYwHhRDiQCQEPQi0+oLc+d6muOAKQCQK1720mrpWfx/1TAjRrYI+qFodC7AAO5p3UGDO7/AlPltsdouxYUfcdpVSRb45n+0t23umr0KkEIlEeWt1ZVxwZa9/fr6D8iZPH/RKiIFrY5UzLriy1wcba1i+u6kPeiSEEIcvCbAMAs2eIJ9urk3aFgxHWVve0rsdEkL0jOo1EA5AznjcIQ+V7qoOlwcBBE0ZRFQaDE27E9ryzflsa97WQ50VIrkGl59nF+9J2f7SivLe64wQA5wnEOLJbxI///d64qvdtHgCvdgjIYQ4vEmAZRAIhSNEoqnbHd5g73VGCNFzypeBWg9pQ9ntiA2Y8w4wgwWFEr8lN2mApdBcyM6WnUSikZ7orRBJRaJRXP5QyvYmd4BIRxc1IUSnBcNRWr2pz7dWf4iQnG9CCNFpEmAZBMw6NUMyjCnbpxWn9WJvhBA9pnw5ZI4CpYpdLTsxqPWk6Q98fvstuRgbdyVsLzQX4g15qXRV9kRvhUjKotdw1MjUZZnPmJyPUpKuC9EtLDo1J0/ISdl+wtgcbAapFiSEEJ0lAZZBINuq549nTkjadvzYbHJtqRNgCiEOE9Foe4AF2Nmyi1xjHkoOfCPqt+RhaC6FSDhu+97lRXtnwwjRG0w6Nf93wkh06sQhyrBME1OL7b3fKSEGKKVSwakT88iyJI4FbQYNF8wqRqOS2wUhhOgs+cQcJKaXpPHqNXOYXBirEpJh0nLrKWP4yw8mkm6SAIsQhz1HBbjrIGsMUaLscuwi35zXqZcGLDkowwF0rvhcTWn6NPQqPTtbdvZEj4VIaUiGiXd/Po/jxmajVIBRq+KKuUN4/qpZ5NkMfd09IQaUwjQjr//0SM6dXohOrUSjUnDG5DzeunYuRWlyvgkhRFf0m3prd999N7feeivXX389//jHP1Lu9+qrr/Lb3/6WPXv2MHLkSO655x5OPfXU3uvoYcqkU3PE0HSevmImvmAYlUJBpkWHqhunWTe0+mlw+XH5Q2SYdaSbtDKtVIjeUvlt7L9Zo2nwNuIKusjrZIDFb4lND9c3l+G3tudsUSgU5JvzJcAiekT9d9cM93fXjAyTFut31wy1SsmoXAv/OG8Krb4QCkXswYBWrerjXgsxMBWnG/nDmeP5vxNHEY2C3aDBqIvdJrh8QRrdAepb/Ri1KjLMOnKs+j7usRBC9E/9IsCyYsUKHnvsMSZNmtThfosXL+aCCy7grrvu4vTTT+fFF1/krLPOYtWqVUyYkHwJjIiXbtL2yHH3NLi55rmVbK1tbdt22sQ87vjeOLLlIixEz6v4FszZYEhjd81yAHKNnQuwhPQ2wmodhuYyHCWz49ryTHkSYBHdbneDix//ZyXb61wAKBSx3Cq3nTo27pph0Wuw6CVQL0RvMGjVGLTxtwYNLj//+mw7zy0tbSuYUJRu4PFLZzA6x4JCIfmQhBBiX32+RMjlcnHRRRfx+OOPk5bWcTLGBx54gJNPPpmbb76ZsWPH8qc//Ylp06bx4IMP9lJvRTK1Th+XP708LrgC8L/11fzzs+14g6mz0wshuknlSsgYCcBuxx5sOhsmTerk1nEUCgLmbPTNpQlN+eZ8djl2EY1KFQnRPWocPi55cnlbcAViKYTeXlPFI1/sxB8Kd/BqIURvCYcjvLaygmeXlMZVoyxv8nLBv5dS1eLru84JIUQ/1ecBlmuvvZbTTjuN448//oD7LlmyJGG/k046iSVLlqR8jd/vx+l0xn2J7lXV4mVPoydp2yvfVlDfGujlHonDhZyf3SQcguo1kDkaiCWlzTWmrgqRTMCUhb6lPGF7rikXT8hDg7ehO3oqDhM9eW5WNHuoaPYmbXtxWRl1Tn+3vZcQA1FvXTvrWv08+kXyGYzNniAbqxw98r5CCHE469MAy8svv8yqVau46667OrV/TU0NOTnxNw05OTnU1NSkfM1dd92FzWZr+yoqKjqkPotElSkGygCBcARPQGawiOTk/OwmDVsh6IXMkUSIUtZaSq4pt0uHCJizMCQJsOSZYsuMpJLQ4NKT52ZZU/KAPIA/FMEblBksQnSkt66d/nCEFk8wZfv2WlfKNiGEGKz6LMBSXl7O9ddfzwsvvIBe33M5Om699VYcDkfbV3l54g2EODTF6amXIejUSkzafpHqR/RDcn52k8pVgAIyhlPnrsUb8pHT1Rks5izU/lZUvvgnkpmGTNQKtQRYBpmePDeHZJhSthk0KoxaSWQrREd669qpUyvJNKfO3Tc239Ij7yuEEIezPrvzXblyJXV1dUybNq1tWzgc5ssvv+TBBx/E7/ejUsUPsnJzc6mtjS8jWltbS25u6ie1Op0OnU7KEPekXLuekdnmuPX0e108u5hsq/z+RXJyfnaTqlVgLwGNkT0N6wG6PoPFlA2AoaUCV66tbbtaqSbblM0ux67u66/o93ry3CxIMzA008TuBndC2+Vzh5Btkc8EITrSW9fOHIue644dyR3vbExoy7LoGJNr7fE+CCHE4abPZrAcd9xxrF+/njVr1rR9zZgxg4suuog1a9YkBFcA5syZw2effRa37ZNPPmHOnDm91W2RRLZFz1OXH8H0kvYkxSqlggtnFnPN0cPRSVlNIXpW5UrIGA5AqbMUm86GQW3o0iECpkwAdI7KhLYcYw57nHsOuZtCAORY9Tx75UymFNnbtqmVCi6ZXcKVc4dIKWYh+gmlUsHpk/K47tgR6NTttwyjcyy8dPVs8u1du84IIcRg0GczWCwWS0JpZZPJREZGRtv2Sy+9lIKCgrYcLddffz3z58/nvvvu47TTTuPll1/m22+/5d///nev93+gKmt0EwhHUSsVFKQZ0Kg6F4MrSjfy+KUzaHT78fjD2I0aMs06TDpZHiREjwr5oXYTzLgSgFLnni4nuAWIqrUE9Tb0joqEtlxjLmvr1x5U93zBMMFwRErtijjF6UaeunwGTe4gHn+IDIuWSAR8wQhN7gDpptTLEqLRKHVOP/5wBI1KQY5Fj1IppWKF6AkZZh3XLhjBuTOKaHIH0GtUZJi1ZJoPPIPG4QnQ5AkQiYJZpyLHKgEZIcTA16/vfsvKylAq22/wjzzySF588UVuv/12fvOb3zBy5EjeeuuthECN6Loah5evtjfwwGfbqWj2kmbUcPncIZw9rYiCtM5dENNN2g4HxUKIHlC7ESJByBxFlCilzjKm50w/qEMFTJnoHFUJ23NMOVTvqcYf9qNTdW5aep3Txx/f28T766uJRmH2sAz+8oOJDM1MnX9DDC7pJh3pJh1VLV4e/HwHr6+qwB+KMKnQxu+/N56x+VYMmvjZLE1uP59uruPvn2yj2uEj06zlZ8eM4Iwp+Z264RNCdJ1eo6Io3UhRBzn39rer3sXfP93GhxtqCIajzChJ4/bTxjIqx4xRJwF3IcTA1a8CLIsWLerwe4BzzjmHc845p3c6NEj4gmHeXVfNn/+3uW1bsyfI3z/Zzu56N7edNpYsS88lIhZCHIKqVaBUQdoQGryNeEIeckxdn8ECEDRlJJ/BYsolSpRyZzkj0kYc8DiljW7O//dSfMEwF88uQa9R8c7aKn74yGJe+8kchmWZD6p/YuCpcfi45Mnl7Kxvz+G1rsLB2Y8u5s2fzWXyPsuI/MEwLy8v596PtrZta3AF+ON7myhr8vDLE0dhlplSQvS5PY1uLnlyOZUt7VUmvy1t5tzHlvLmz45kfIGtg1cLIcThrU/LNIv+odrh5Z+fbk/a9taaKpo7KNEnhOhjVavBPgTUOsqcZQDkGLMP6lABUyZ6RyVEo3Hb91Yk6kweFqcvyOVPrwDgzrMmcsqEPBaMzuaPZ4zHqFVxzXMr8YekDK+I2VztjAuu7BWJwl/e30SLJ9C2rd7l55+fJ79W/WfJHhrdgaRtQojetXRnY1xwZa9AOMIDn22nyeXvg14JIUTvkACLwOEJ0uoPpWzflWTwK4ToJypXtSW4LWstw6wxYdIc3AyRoDEDVdCLer9SzVatFYPaQKmz9IDH+MM7G6lx+Lj5pNFxSwYteg3XHTuS3Q1uHl6486D6JwaezzbXpmxbvqcZT6A9GNfsCeALRpLuG4lCjdPX7f0TQnSNPxhm4da6lO1Ldzfi7GDMKYQQhzsJsAh0mo4rNtgMMuVaiH4p4IH6rZA5CoAyZylZhiwONt1nWyUhZ3XcdoVCQa4xl7LWsg5f/+W2el5fVcmlc0rIsyXmbipON3LyhFz+/eUuGuQJpgCyramXn1r1GpSK9r9m/QGqCxkPcC0TQvQ8jUpBmjF1Pr40oxaV5KQWQgxgEmARpBk1TN1nnfu+0k1aKcMnRH9VuwGiYciI5UUpay0n+yDzr0BsBguAzpmY6DbLmEWpI/UMlmA4wh3vbGRcnpX5o7JS7nfG5HwUCnjiq90H3U8xcJw2MS9l2+VHDiHT3H6jlm7SMibXknTfXKueLIskuRWirymVSs6fWZSy/ZLZJRTIuFIIMYB1KcCyefNm7rjjDo499liGDx9OXl4ekyZN4rLLLuPFF1/E75cnkoejXJuBe86eRI41fnBq1Kp47OLpFCR5Ei2E6AeqVoNSA/YSXEE3Tb6mg86/AhDR6AlpzQkzWCCWh6W0NXWA5eUV5expcHPpnBIUitSPJy16DQtGZ/PislI8AZkmPtjl2vTce/Yk9v+TOaIkjQtnFaNWtQ9TMsw6HrxwalzQBcCiU/PEZTPI6WA2jBCi9+TbDPzyxFEJ248emckpE3LjKoQKIcRA06kqQqtWreJXv/oVX3/9NXPnzmXWrFl8//vfx2Aw0NTUxIYNG7jtttu47rrr+NWvfsUNN9yATidPkvqDQChMozuAXqMkzZj632RUjoVXrpnDhiona8taGJ5t4ogh6RTY9ajVqS+EgVAEXzCMQatEo5Lp2V3hD/nxh/0Y1UbUqsRT0RfyEQgHMGlMqJTyuxVJVK2G9KGg0lDuiOU1yTYc/AwW2FtJKHmp5gZvA56gB6MmvlSnLxjmgU+3MW9kJiUZBy7DfNL4HD7YUM3ba6q4YGbxIfVXHN5MOjWnTczjiCHpfLG1jmZPgKNHZVOcbiDLoicajeLyh1ApFehUSrItev533VFUO7zUOv3YjRoK0wzk2QwoFAo8gRChcBSzTo1SKesQBhtXwIVSoUz4jNorEA7gC/kwqA1oVLL8uSvCkShufwitWoFeEz9m8fhDuAMhzHo1Bo2abKue848o4uTxuexucBOKRChJN2E3aci3d77Us+hdBzPuDEfCuINudCodOrXc+wkBnQyw/PCHP+Tmm2/mtddew263p9xvyZIlPPDAA9x333385je/6a4+ioMQDofZ0+TlrdWVfLOjkXSThkvnDGF4lomCtOQXt5IMEyUZpg6nbO/l9ofY0+jmqa93s7vBzeQiOxfPLqEozYD2AOvkBztXwEVZaxn/2fgfKlwVTM2eytmjzqbAVIBapabF38Kull08t+k56r31zMufx+nDT6fAXNDhzAAxCFWubFseVN5ahkapJs2QdkiHDBjT0bYmn8ESe59yRqePjmt7cVkZTe4AP5xW2Kn3yLLomVxo55VvyyXAIjDp1AzVqRmaOTRue1WLl88217K6rJnzZxbz5bYGFu9sJNui49wjCql2evl0cy0/mjcUjcrPjjoXT369mxZvkBPG5XD6pDwKU1zvxMBS465hcdVi3t7xNlqVlgvGXMCkzElkGmN5pdwBN+Wucp7b9BylzlImZE7gvNHnUWAuQKtKnS9EQDQapbzZy9urK1m4tZ5Ms5arjhrKyGwLUaKUNXl45ps9lDV5GJdv5ZLvxoJRoLTJw3+WluINhDlzSj7HjT20BwCiZxzMuDMSjVDpquSdne+wpGoJ2cZsLh13KUNtQ7HppAy3GNwU0eh+9TiTCAaDaDSdj/R3df/e5HQ6sdlsOBwOrFZrX3enx2ypcXL+v5fSsl+J5SvnDuGqo4YdUl6VQCjMBxtquP7lNXHbtSolz181k5lDMw762AOdL+Tj/d3vc8fiO+K261Q6njrpKYbahvL8pud5eO3Dce1WrZX/nPIfhtuH92Z3e91gOT+7hb8V7iqCI6+DkSfy5Pon2eXYxSXjLjmkw2Zu/gBr9VrWXvJy3PbWQCvXL7ye+4+5nxNKTmjvRijMUfcsZEyehZ/OH9Hp91m6q5EHPtvOpzfOZ0T2wVU9Er2nt8/NymYP5/17KZ5AmPvPncwvXlqN0xe/pOzqo4bh9odIM2lp8QR4YVl8EuZMs5bXfnIkQzIPPKtKHL5q3DVc/fHVCWXk5+XP409z/4RVZ+XT0k+55atb4to1Sg1PnPgE03Km9WJve0ZPnp876lz88JHFOLzx48lrFwxn7ohMLnx8Wdx2rUrJ2z+fyz8/3c4HG2vi2orSDbx89RwK0mTpeX/RGmjlhU0v8NDah+K2WzQWnjv1uZTjzu3N27nkg0twB91x22+YdgPnjTkP80FWMxRiIOjUIsiuBkv6a3BlsKh1+Ljr/S0JwRWAp77ZQ7MncEjHr2v1c8vr6xK2B8IRbnxlLbVSKjOlBm8Ddy69M2G7P+znd9/8jlpPbUJwBcAZcHL38rtpDbT2RjfF4aB6LRBtryDUWk6mIXVy2c4KmtLRuBtRhOM/J8waM0a1kTJn/E3s22uqqGv1c8bkgi69z7TiNExaFe+sTVyOJAa3YDjMs0tKqWj2cv4RRTz6xc6E4ArA41/t4oRxOUwutCUEVwAaXAH+/uk2PFISdsAKR8K8s+OdhOAKwNdVX7O1eStNvqaEhxoAwUiQ276+jTpP6pLCg53TG+TO9zYlBFcAHlq4E38wgmq/pXhmvZrtda0JwRWA8iYvLywrJRhOXm5d9L4Gb0NCcAWgNdjK3cvvxul3JrQ5fA7+tORPCcEVgAdWPUCjt7FH+irE4aJTS4T2t2LFChYuXEhdXR2RSPyH5P33398tHRMHr9Uf5Mvt9SnbF26pY3z+wU/fq2j24gsmvzhWNHtp9gQk2WAKux27CUYSByoASoWS5dXLU752afVSHH4HFm3yKhpikKlcBWo92IoIRUNUuasYlTbykA8bNGagIIq2tQ6/vX3Jj0KhIMeYQ3lredu2aDTKv7/cxYyStC5XhdCqlUwrSeN/66r4v+NHyvI30abRFeD1lRUATCq08/CinSn33VrTSkcTcf+3rppbTh6DUXdQwx3RzzX5mnhzx5sp2/+79b/8fOrP8YWTP/ipcFXQ4m8h+xCSgw9kDm+QLzoYT64ub2ZMroWNVe034UcOz+CTjbUpX/PqygounTOEXJuME/uDA447Aw6suvhZUY6Ag9X1q5O+JkqUNXVrKLGWdGs/hTicdHnE8Ze//IXbb7+d0aNHk5OTEzcolgFyf6Ggo4VfocgBV4V1KHKAVWUHXnQ2eEWiqZ/aKBQKwtFwh6+PIr9c8Z2qVZAxHJQqal2VhCIhsozdMIPFmA7ESjXvG2CBWKnmfZ8Uf7m9gR11Ln53+riDeq/ZQzP468db2VbrYnSK8rtiMFK0XWcO9JkXjkbpaOQRicqn5kDX0XU1HA13GIADDtg+mEWJdjimC0dIqACmVCgIdzDOjESiIGdlvxGh49lEyc6PA32qhiIya1AMbl2uk/bAAw/w1FNPsXnzZhYtWsTChQvbvj7//POe6KPoIpNOxexh6Snbjx1zaE9qitKMaFXJ/3RyrDrSjJIwLpVh9mGoFMmTAAdCAWbmzkz52ilZU7BqJC+J+E7Ft5ARm7FS3hp72p/VHUuE9DaiCiW61sQnkNnG7LgZLE99vZthmSbGHGRwZGKhDYNGxSebEqeSi8Er3aTl9EmxZOvbalqZWmRPue+4PCvDslLnWDl+bA42g8xeGajSdGmcOuzUlO0/HPlDbFobGmXypes5xhzSdIeWGHwgs+o1zBqaejw5rdjOthpX3LZluxs7HGd+b3I+6SYZJ/YXBxp3JktYa9VaGZee+sHKQMhrJMSh6HKARalUMnfu3J7oi+gmeTYDt582DoMm8Ub+B1MLDvnClmnR8dvTxyZsVyrgnh9OIscqZdpSydBncP206xO2qxQqfjvnt+SZ8rhgzAUJ7XqVnttm34ZNL5nZBeBuAEd5W/6VClcFVq0Fg7obEgcqVQQNaehaE4MeWcYs6jx1+EI+dje4+WJbPSeOzz3o2YsalZJJhTY+3pR6OrkYfLRqJVcfPZxMs5YXlpVx7bEj0KkThyvnzihi8c5Gdta7OXVibkK7RafmVyePwayTvHADlVql5pxR57RVOdvX5KzJTMyciF1v51dH/CqhXalQ8ocj/9AtM/8GKrtRy+/PGJ90PHnBzCK0KiWB/fKp1Lf6GZNrYU6SB31ZZh0/mjdUqk32I5mGTC4cc2HC9rZxZ5IAS5o+jd/N+R1aZeL9xOXjLydDL8UuxODWqSpC+7r33nupqqriH//4Rw91qWcNliolXn+QihYfT32zm2W7mkgzabn8yCFMKbJTlH7oZSsd3gDbal08tHAHpY0eJuRb+dmCEQzJMGLQytPCjjj8DrY1b+Px9Y9T5apiYsZErpx4JUWWIvRqPU3eJtY3rOepDU/R5GtiVu4sLh5/MYXmQtTKgf27HSzn5yHb9jG8eA784Amw5PKPlf/AFXRx9qizu+XwRUsexW8rYOcJv43bvrVpK/esuIe3znyLF77y89rKcv51wTS0SW5+O+ur7fU8vGgny39zHNmSu6nf6otzs6LZwxsry1GplMwbkcXLy8tYtruJDLOWC2eV4A2E+HRzHT9fMII8u57VZS08/uUuHN4gx47J5pI5JRSlGVEqZfnyQFflquK9ne/xv93/Q6vScv7o8zmq8Ki23CpOv5MdLTt4fN3jlLvKGZc+jqsmXkWRpQiD5vCvaNOT52coHKG82ctzS/ewu96NWqXkvCOKmFpkJxyNsqPWxSNf7KSi2cvYXAs/PWY4xelGfKEIX21v4JnFu/EGIpw+KY9zphdS2A1jUNG9mnxNbGjYwJPrn6TJ18TM3JlcMu4SCi2px52hcIhyVzn/2fQfvq35lgxDBldNvIrxGeNJ08usMDG4dTnAEolEOO2009i2bRvjxo1LqBj0xhtvdGsHu9tguoFrdPlxB0K0+kJoVEpsBg1pRk3bk4O6Vh/lTV42VzspsBsYmmWi1RdkbbmDonQDI7Mt5Nn0HT6ddvlC+IJhjDoVRgmsdIkr4MIf9mPUGJPOPGgNtBIIBzBrzOjUg2NW0GA6Pw/Jwr/Askfh3OdBoeCmL25iZNoojimc3y2Hz13zCmqfg80/jK8s0Oxr5qYvbuJvR/2TX/4nwILR2Vwws/iQ3svpC/KT51Zyz9mTOHdG0SEdS/Scvjg3K5s9NHuCrNjThEmnYnpxOgatErNOg0apwB0IY9AqMe0zQ6XFEyAUiWLVq+Up+SATjoRx+B0oFIqUN3gHuu4ernr6/Kxs8VDn9LOmvIUsi45x+VbyLHoM3yWPbnT58QbCWPRqbN8tE/cGQjR7AlQ5fITDUfLseqx6DXZZRt5vHcy40x/y4wq60Kg0WLUybhMCDiLJ7S9+8QsWLlzIggULyMjIkMS2/VSNw8eNr6xm8c6mtm16jZInLp3BzKHp1LsCXPXsCjZXt5f9tRrU3HfOZJ5fWsqWmlbSTVpeuGoWY/NSf2Ca9WrMegmsHAyz1owZc8p2qRYkUqr4NrY8SKHAHfLQ5GvulvwrewWNaZjqtyZst+vsaJVaPtxQh8tnPuR8ThBb4z8828wXW+slwCLaVDR5uOfDLby7rrptm0qp4M6zJnDcmCysVkPbzd2+5OZt8FIpVaQbUucLgQNfd0Wi8iYPN/53DStKm9u26TVKHrt4OkcMSceoU5Nhjr8Zd/tDfLC+mlveWB+X8PbsaYX8+pQxZFoGx0Ojw83BjDt1at2geQgoRGd1eV73s88+y+uvv84HH3zAM888w9NPPx33JfpeIBTmia93xQVXAHzBCFc+8y11rX7+9O6muOAKgNMb4ubX1nHtghEANLkDXPH0Cmoc3l7ruxDiACIRqPy2Lf9KZWslQLfmEQga09H4HCiD8aVNFQoF2cZsvt6sYFKhrdvKsU8utPHl9npC4Y6rGYjB4/MtdXHBFYBwJMqtb6ynvjXQR70SYnBx+4L8+8tdccEViI0nf/zcSmqcKcpfN3v45WvrEqoJvbaqgkXb6nqsv0II0R90OcCSnp7O8OHDe6Ivops0uAK8uKwsaVsgHKHJHeDjFFU7WjxBAuEI1u9mpdQ4fdQ4kl9AhRB9oGkn+BztCW5bK1AplGToO35y2xXB754Ca12JyWcNkeHUN5tY0A2zV/aaXGin1RdiXaWj244pDl+ljW6eXrwnZfurKyt6rzNCDGJ1rgCvpTjf/KEIK/Y0JWyPRqP8d0V5klfEPLJoF/Wt/m7roxBC9DddDrD8/ve/54477sDj8fREf0Q3CIYjeALhlO0ef5hIB5l3mt0BLPr2Ne3N3mB3dk8IcSgqVsT+mzUagEpXBen69JTlvw9G0BjLX5CsVLOzYQIqlY/pxd2XxG5YlhmTVsXX2xu67Zji8BWJRju8Aat2+AgEQ73YIyEGp2A4gjeYejxZ1ZL4AC4ciVLRnHrmc73LRzgisxWFEANXlwMs//znP/nggw/Iyclh4sSJTJs2Le5L9D2DVsWQjNRZ2u0mDTZD6rKVxenGuMFtUZpkfBei36hYAfYS0MbyCJS7Ksg0ZHbrW4T0VqIKJdr9SjUHw1HKq/JQmrajVHYpP3qHVEoF4/KtEmARABg0KiYXpS5Jf+TwDLQayf0lRE8zaJQUd1D1Z3pJYqBdrVJyzOjUMxynF6dhSpI/SQghBoouf8KdddZZPdAN0Z2yLXpuO20sV/9nZULb8CwzmWYt/3fCSH7/zqaE9plD09nV4CbwXS6Ek8bnkGmWpIFC9Bvly9qWB0WJUumqZHr29O59D4WSoDEdnTM+wLJqtx9/UI0uYwvNvmYyujGwMyHfxnNLS3H7QzL4HuRybQZuOmE0S3YuTphtmWnWctTI7g0oCiGSK0o3cfNJo7nupdUJbSOzzQzNNCV93dGjMsk0a2lwxedLUirgphNHx82SFkKIgabLo9g77rijJ/ohutmsoRk8fNE07nxvE1UOHyqlglMn5Mayt5v1nDG5AK1KxX0fb6XRHUCnVnLW1AJOHJfDtS+uQq9RcuHMYn4yf7hUZRCiv/A5oW4zDD8OgBa/A0/Q060JbvcKGuzo9svBsmiTjxxbFKe2mTpvXbcGWMYX2AhFonxb2sz8Ud3/84jDy5BMI89cMZM/vLuJnfUuFIrYzJXfnT6eYVlSBUaI3jJraDp/P3cy9360lWqHD7VSwUnjc/jVyWMoSjG7pTDNyCvXzOGOdzby1XczE0dkm7nzrAkMz5bzVwgxsHU5wLJixQoikQizZs2K275s2TJUKhUzZszots4NRnVOHy2eWM4Tu0lDtiV1lY5IJEptqw+HN4haqSTNqCEYjtDiCaJVK5k3IpM3fjYXdyCERqUkw6RtezKcbtJy/hFFLBiThScQRqdSkm7S0uIN8r9fHIVOrSTboker7vIqsgEpGA5S763HFXChV+tJ06dJGWXR+yq/hWgEsscCsQS3QLcvEQIIGtLQ7pODxemNsHpPgOMn6vm6WUGdp56x3ZdXl3ybnnSjhsU7GyTAMsAEw2HqnH5afSF0GhUZJi3WDpapljd7cHiC5Nn0PHnZDHzBMCqlArNeTZ7N0Is9F/2FO+Cm0deIL+TDpDWRZchCq5KHP92trjU2Bo1GwW7UkGPVk23Vc9qkPCYX2fEGw2hVSix6NbkHOBeHZZl56MJpNHsChCNRrHqNlGcWHQpHwtR763H6nWhVWtL0adh0qZeLCtFfdTnAcu211/KrX/0qIcBSWVnJPffcw7Jly7qtc4NJIBRmTXkLN7+2jtLGWALhkgwjfzt7MpOLbGjV8QksW31BvthWz+/f2dg2BXNCgZWbTxzNH9/bzM56F1OL7dx3zmSGp3jap1QqEgarRpman6DJ28Sr217lyQ1P4g15UaDg6IKjuW32beSZ8/q6e2IwKVsGOitYCwCodFWiVWp6ZAASNKRhatjR9v2SbT6iUZhUpGOtx0q9p75b30+hUDA238biHY3delzRt5rcAV5ZUca/Pt+B+7vk60ePyuIvZ02gcL+n3x5/iPWVDn79xnp2N7gBKEwz8OfvT2BacZosKxikatw13LviXj4r+4xINIJepeeisRdx8biLeyS4PBgFQxHWVzq46dW1cefeX8+exNBME++sreLBz3fg9MWSS88els6fz5p4wNkoVoOmw2CqEHs5/A4+L/uc+1beh8Mfqyg4JWsKf5r7J4bYhvRt54Tooi5PT9i0aVPSZLZTp05l06bEnB6ic8qavFz0xLK24ApAaaOHC59YSnlTYjb2DZUOfv7i6rj1rRsqnVz/3zXceuoYAFaXtXDev5dS1ZI6m7voWCgc4s0db/LgmgfxhmK/xyhRvqj8gl98/gsavJKUU/SisiWx2SuK2Ed3pauSTEMmShTd/lYhYxoabzOKUOwz5qutPobnqDHplNh1Nuo9dd3+nuPzrGyscuD0SeWygSAcifLO2kru/nBrW3AF4Mtt9Vz+zApqnfEVSCpavFz61PK2GzyAimYvVz7zLWVNUrlwMGryNfHrL3/NJ6WfEInGcsP5wj6e3PAkz296nkA4cIAjiM4ob/ZwweNLE869i59cTrXDx98/2d4WXAFYuquJy55eTlmjO9nhhOiylbUr+d3i37UFVwDW1K/hyo+upMZd08Erheh/uhxg0el01NYmlu6srq5GrZbZDwcjEIrw1Ne7CYYTq3IEw1Ge/mY3gVB7Sbtmd4C7P9iS9FgtniDbaloZl2cFoL7Vz5rylh7p92BQ763nyfVPJm3b0ryFand1L/dIDFrhYKyC0HfLgwAqWyu6NQ/KvoKGWHUIrauOemeYrVUhJhTGpuTbtXZqvd0fYBmXbyUShW/3NHX7sUXvq3X6eODT7UnbdtS5KN8naOINhnhuSSn+UGL51nAkymNf7MLplcDbYNPgaWBlXWLCfoAXNr9Avbd7Z9INRsFwmBeWlaU89578ejenTUqcrVvR7GV7nas3uigGuAZvA/evvD9pW723no0NG3u5R0Icmi4HWE488URuvfVWHI72CGNLSwu/+c1vOOGEE7q1c4OFyx9kdXlzyvZVZS24/O1PDnyhMJurW1Puv7naSck+ZZqX75ablYPlCXloDab+Xe9q2dWLvRGDWvVaCHogZwIAEaJUuqrI6uEAi661lqXb/aiVMDo/NtXbprd3+xIhgGyLjgyzlqW75DNrIPAGwzR7UgdFttS0f7a2emPLg1KRmU2DU4WrImWbL+zDHZAZFIfKE4iwqjT1GHT/MeW+1soDPNENAuEApc7SlO2r6lb1Ym+EOHRdDrD87W9/o7y8nJKSEhYsWMCCBQsYOnQoNTU13HfffT3RxwFPr1FRlJb84gVQlG5Av0+yWbVSQb49dfLbfLuBRnf7tNkRkrH9oOlUOtTK1DOz8kySg0X0ktJvQK2HjBEANHjrCUQCPZaDIGiwEUWB1lXL4m0+hueq0WtiS5HSdHa8IS/uYPc+vVQoFIzJtbJkp+RhGQh0aiW6DhKlF6W15wAzalUUHOC6ZtSqUraLgamjzzelQolenfpvRnSOXq1MWQ0IvhtTupIvxRqSokyzEF2hUqhI16fOmj/UNrQXeyPEoetygKWgoIB169Zx7733Mm7cOKZPn84DDzzA+vXrKSoq6ok+DnhGrZqfHDM8ZftP5g+PSz6bZdFz3bEjk+6rViqYPSyDFd9NsdeplRw9UpLAHawMQwbfG/a95G36DIqtxb3cIzFo7fk6tjzou4BfZWslAJmGHqq4o1QT0ttobnCwozbE+IL2ih12nR2gR2axjM2zsLHKQavMVjjsZVl0nHdE8nGB3ahhRE57JTazXsOV81IPoq85ehjpJqlAMtjkGnMpMBckbTu26NgOb8pE5+g0Kq4+KvW5d/mRQ3h3bVXCdpNWxZQiew/2TAwWWcYsrpxwZdI2nUrH7LzZvdwjIQ7NQdXgNZlM/PjHP+ahhx7ib3/7G5deeikajWQJPxQjssz86czxaFTtySo1KgV3njUhaRWgY0ZnccXcISj2yW1p0qq45+xJPLtkD9EoWPVqnr1yJnl2KWt5sAxqA9dOvZY5+XPitmcbs3n8xMfJNeX2Uc/EoBIOQeliyJnYtqnKXYVepcOs7bkZakGjncXVRlRKGJXX/hlv09sBqOuB/AfjcmN5WFZ2MGVdHB50ahXXLhjBgtHZcduzzDpeuGoW+bb42Qcl6Ub+dOZ4tKr4GZu3nDyaUfsEY8TgkW3K5pHjHyHflB+3fVr2NG6ZeUuPfv4NJkMyTdzzw4kJ597tp41ldK6F6SVpcfunGTU8c+XMDmdfC9FZSoWS04edzpkjzozbbtVaeeyEx8g1ylhbHF4U0Wg0MbPqfpYuXcrs2Z2LHno8Hnbv3s348eMPuO8jjzzCI488wp49ewAYP348v/vd7zjllFOS7v/MM89wxRVXxG3T6XT4fL6k+yfjdDqx2Ww4HA6sVmunX9cbvIEQ9a4Au+pj0+6HZZnJMmsxaJMvUWn1Bml0B9hR58KoU1FkN6BWKWj1h1EqFKQb1ShQ4PSHUCkUFKYbafUFcftDqJVKMi0HfhrY4gngC0bQqZWkmbQH3H+gavY10+BtoLy1nHR9OnmmPHJMOX3drQGnP5+ffapiJTxxLJzy17Ykt4+te4zy1gouHntRj71t3qoXuLryHJpsI7h4XvyNzAOr/8lpw07jtKGndet7RqNRrn1xFefPLOaWk8d067HFwTuUc7PZHaCu1U9po5sMs5Z8m4Fcmx7FPk8IIpEIlS1ewpHYjd32ulaC4Sgjss3o1Eo0KiV6jQpPIIRapSTTLLNZBpM6dx01nhoavA0UmgvJNGSSbpDZK3t1x7XTFwxT3+pnV4OLSCTK8CwzmRYdRq2aeocXbyiCLxhBoQS7XkOaUYv6uyWAVS1eguEIBq2KbMuhL9uSsefg5PQ7afI1sduxG7PWTKG5kCxjVodL9YXojzr1F3vJJZcwbNgwrrrqKk499VRMpsQ1l5s2beL555/n6aef5p577ulUgKWwsJC7776bkSNHEo1GefbZZznzzDNZvXp1ytdbrVa2bt3a9v2+A7TDnUGrpjhdTXEHa2H3ZTFosBg0DMk04Q+G2N3g4V+f7+CbnQ1Y9RounlXMgjHZXP7UCo4alcnZ0wt5ZNFOvi1tJsui46fzhzN/VFbSQIvTG2RTtZO/fbyV7bUuSjKM3HTCKCYX2bEbB9/FLk2fRpo+jZFpyZdmCdGjdn8BagNktv/9xUo0Z/To2zZpc1jpK+LkMYkzFNN0PZPoVqFQMDrXwtJdkodloEgzaUkzaRmdm3wWSnmzh/fWVvHi8jJcvhBzh2dy7bEjUCrgoYU78IcinDujiGcX7+Hb0mYyzTp+Mn8Yx4zOIqsbbuZE/5dtyibblH3gHcVB02tUFKUbE/KxOL0Bal0BHvhsG8t3N5Nh0nLZkUM4dkw2aqWCVWXNPLxoJxXNXkbnWvi/40cyMttM5kGcm05vkA1VDu77eBs76lwMyTBy04mjmVRoG5Rjz8HGqrNi1VkZYhvS110R4pB0KsCyadMmHnnkEW6//XYuvPBCRo0aRX5+Pnq9nubmZrZs2YLL5eL73/8+H3/8MRMnTjzwQYHvfS8+t8Wf//xnHnnkEZYuXZoywKJQKMjNlali+9tR5+aHjy7GF4yV2WvxBPnLB1v4fGsdD140laoWH+f9eynhSGzCksMb5KZX13L2tEJuP31s3IUrGI7w8aZafvnq2rZt6yocXPb0Cm4/bSwXzy5Br5Fkg0L0ml2LIHdCW/6VcDRMjbuGUWmje/Rtv/aPIoyKUbmJ57tVa6POXdsj7zs2z8pzS0rxBsIYJLHpgFbR7OGm/65h+Z72JWHvra/msy11vPKTOZQ2ublq3nCufGYFoX2uXze/to6zpuRzxxnjSZMbLyF6zNZaFxc+vpRguP38u+OdjfhDYTyBMP/YpxT78t1NXPD4Mv5x3mROm5iPpoMk1/sLhMN8sKGaW15f37ZtbYWDS59azu/PGMcFRxSjk7GnEOIw0KlPPo1Gwy9+8Qu2bt3KkiVLuPrqq5kwYQIFBQUcc8wxPPbYY1RVVfHSSy91Oriyv3A4zMsvv4zb7WbOnDkp93O5XJSUlFBUVMSZZ57Jxo1SG72+1cc9H25pC67sa+muJryBMK+sKGsLruzrtVUV1LX647bVOX384Z3kv9e/frSV+v32F0L0oKAXypZA7qS2TXWeOoKRUI9VENrrK1cJQxTVZCgTS5Wn6e3U90AOFoCxuVZCkWiH5evFwLC73h0XXNnLGwzz94+3cfup4/jnZ9vbgiv7emtNFbWOzi8RFkJ0TUWThzvf29QWXNnXiGwLD36+I+nr/vTeZqoc3i69V73Tz5/e25y07e4PtiSMVYUQor/q8qK2GTNmMGPGjG7rwPr165kzZw4+nw+z2cybb77JuHHjku47evRonnrqKSZNmoTD4eBvf/sbRx55JBs3bqSwsDDpa/x+P35/+4ey0+nstr73Fy5/iK92NKRs/3BjDaPzLHyxPfk+K3Y3xSUQbPYEafWHku7rD0Wodfo6LOknRGcNhvPzkJV+A+EA5E9r21TlilV0yOrBAEs4CkubszhWsQSNV0fIEJ/k0Kaz0+xvJhwJoerm9dEFaQYsejXLdzdx5HCpgtYXeuvc/GBjdcq2Rdvq+NXJo9lUnfq9l+xqZEye5GsSg0tvnZ+eYJi1FY6E7Uatiia3P2ngE6DRHaDZHaAko/NlnBvdAVwpxp6+YIR6l1/GnkKIw8JBVRHqTqNHj2bNmjUsW7aMn/70p1x22WVs2rQp6b5z5szh0ksvZcqUKcyfP5833niDrKwsHnvssZTHv+uuu7DZbG1fA7GUtBJFXOb3/Zl0agKhxNkte+1bAhpApew4r42mg/cSoisGw/l5yHYuBFMm2NtLgle6KjGoDRg1nR+8dtWOZg3OoJrJip1oPIkzDOw6O5FolAZf6uDuwVIqFIzKsbB0V1O3H1t0Tm+dm0ZN6uCcTq1CqVDQUao1k06SH4rBp7fOT6Ui9rW/cCSKTt3xch11F8eK6gONPQ/QLoQQ/UWf3ylrtVpGjBjB9OnTueuuu5g8eTIPPPBAp16r0WiYOnUqO3Ykn6IIcOutt+JwONq+ysvLu6vr/Ua6Wcv3JuenbD9lQi7lTZ6kbUoFTCu2xx/PpKUgRWnnNKOGrE5UHxKiMwbD+XnItn8MeVPZ9y6z0lVFpiGDnhxuflujQ6+KMFTbiDpJgCXtu1LNPZHoFmBMroU1Zc0dBodFz+mtc/OMKamvXWdNzaeqxcvRI7OStisUMHOIVJIRg09vnZ82g4bjxiYmF/aHIqiUCswpApzDs8zYDYnJ0TuSbtKRZ0ueGDfDpCVDKocJIQ4TfR5g2V8kEomb9tiRcDjM+vXrycvLS7mPTqfDarXGfQ00Fr2Gny8YQVF6YlDkJ/OHUdHk5dI5Q8hIUuruLz+YmBAwybHq+dcFU9Fr4v88NCoFD144jRyrVG0Q3WMwnJ+HpLkUGrZBYfyyzEpXBZmG5Ded3WVljY4RaUEUehMab2KAxayxoFQoqeuhAMvYPCu+UIQNVYnT00XP661zM8ei46p5QxO2l2QY+dG8odzyxlp+NG8oWUlurv505gQJ+ItBqbfOzyyLnltOHkOONfE88wfD/P28yQmznk1aFX89exKFXVzOk2PV8eCFU9HtlxhXq1Ly4IXTyJWxpxDiMNGnc2tvvfVWTjnlFIqLi2ltbeXFF19k0aJFfPTRRwBceumlFBQUcNdddwHwxz/+kdmzZzNixAhaWlr461//SmlpKVdddVVf/hj9wpBME8//aBZLdzXyyaZa0oxazjuiCJNOxedb6sgw6/jvNbPZWOmgosWLUatmzvAMCu0GjNrEP4NJhTY+uuFo3l1bxeryFsbnWfn+tEIK7PoDLiESQnST7R+DUgV5U9o2haIhajy1jMtInquqO3iCCrY0aTljhJuw05x0iZBKocSms/VYotshGSb0GiXLdzcxrTjtwC8Qh6Ucm4GrjhrKyRNyeWl5GU5fiBPH5TC12E4kCn87ZwrhSJT//GgmK/c0sWhbPfk2AxfMKqYwzSBLhIToYSOyLbz849msLW+hssWLTq1ixpA0ci16zHo17/9iHq+trGBXg5vJhTZOm5RPcVrXc6UoFAomFdj5+P+O5p01VaypaGFCvo2zphZQYNejlLGnEOIw0acjk7q6Oi699FKqq6ux2WxMmjSJjz76iBNOOAGAsrIylMr2SHZzczNXX301NTU1pKWlMX36dBYvXpwyKe7hpsHlZ0+DmzdWVQDwg2mFDM00tU2LrGj2sK22lffWVWPQqPjBtELy7XrybLGZKwpgWKaJS2aXoNMoyTBp2VztZEedG7c/zORCO9lWPYu2NVCcbkSjVLZdsCKRCKVNHr7cVs+q0haGZZk4dWIeV80bilKpRNuFUntJ+V3grIR1r4CjHEafCoVHgK0AAKffSZW7ind3vovD7+CEkhMothbz5vY3afY1c+qwUxlhH0GWsWef2gvRr2z9AHImgrY910qdu55wJNyjFYQ2NGiJRBWMsAcI+S3oWpMnIrVpey7AolIqGJVtYdmuRn4yf3iPvIfoH3JtBnJtBqYW2XH4QtQ5ffx3RTk/nFaILxjmgw01mLQqLphVzMxh6WyocBAIhXltZQWhSJQTx+Vg02uobfXxxupKGlr9nDwhl4kFNnJtyZe7DlquemjaCWtfjn0/+XzIGA6m7ru2RqIRql3VfF31NWvq1jA2fSwLihdg09qo9dTy7s53afA1cGLJiYzLGEe2MXEJiuiPFGyvdZFj06NRKYkAWrUSvVrF8WNz8IciGLUqdColapWCGoeXKoePN1dV4A6EOXVCHqNzLR0mqtWolZRkmLjuuJEEQpFDH3sezsIhcFbAto+gYkVszDzqJLAWgqp/B5b9YT817ho+3vMxuxy7mJU3i5m5M8k359Pia6HCVcHbO97GH/Zz+rDTGWYbRqZREtqLgUMRjUaTpwDvwGeffcZnn31GXV0dkUj8+vinnnqq2zrXE5xOJzabDYfD0a+WI9S3+vnd2xv4YENN3PZTJ+byhzMm4AuGuf7l1awqa4lrv2hWMdcdO4JAKMIVz3zLznoXeo2Sxy6ezu1vb6C8Kb5M3q9PGcOmKifvrK1CoYAHzp/KieNy2FHn4qInluHwBtv21agUPH7pDOYMS0fXQSLCAwq4YONb8Pa18dvtJXDZuziNaby4+UUeWvtQXPOotFFcN/U6rl94PZFohKlZU/nbMX+TwdgA1l/Pzz7hc8Jfh8O0y2DcmW2bv639lofWPMzPp/wck6ZnKio8vtbKp6UGbp3VjLV6Hfby5Ww77S7YL+vLx6UfU++p549z/9Qj/XhjVQUfbqhhzR0nysy5PtYb52Zls4e/vL+F/62v5qMbjuLm19axbr8KJlfOHcLsYRlc8/xKfnf6OJbuaiLTrGFIhpk/vx9f4nV4lonnfjSL/BQ5xQYdVx28/0vY9Hb89nFnwal/BXP3XFs3N27mio+uwB10t23TqXT8c8E/uX/l/Wxt3tq2fahtKI+d8Bh5ptRLvcWB9eT5ubvexSVPLaeiOX48eeeZE5g/OoPj7vuKQLj9XsBqUPPOtfN4evFunl1cGveayYU2HrxwmlQDOpBoFCpXwbOnQ3CfHIoaI1z2HhRO77u+HUAwHGRZ9TKu+/w6QtH2qlBpujSeOukp3tn5Dk9vfDruNTNzZ3LXUXfJ+F4MGF0ODf/hD3/gxBNP5LPPPqOhoYHm5ua4L3FwVpU1JwRXAN5fX0Od08N766oSgisALywro8kd4LEvd7Gz3gXAGZMLeHVlRUJwBeCeD7fw/akFKBSxz+8b/7uGGqePm19bGxdcAQiGo/zipdVUOzqXEyel1jp45+eJ21tKYeHdVLsqE4IrANuat7G0eilz8+cCsLp+NR/s/oBIVJJeikFgxyex8szFc+I2V7oqMWqMPRZcAVhTp2WYLYhCASGdGUU4iCrgTtjPrrN/N4Oly3H6ThmbZ6XVH2JrTWuPHF/0LxuqnPxvfTU/mjeE99fXJARXAJ76Zg82o4ZMk5Y7/7eZC2YWcdzY3ITgCsDOejePfLFTEiXvVb48MbgCsOmt2BPybtDgaeCXX/wyLrgCsSfav/n6N1w2/rK47bsdu3lmwzMEwoFueX/RvWqdPv728daE4ArAb9/ZgDcYBVX8+WXQqKhx+hKCKwBrKxy8ubqCkJyTHWuthlcuiQ+uQOz7Vy4BZ+ry9n2t3lvPjV/cGBdcAWj2N/P7xb/HmGTssrxmOYvKF/VOB4XoBV0OsDz66KM888wzLFu2jLfeeos333wz7kt0XasvyJNf707Z7gtFeXlF6gzxje4Ab6yqbPt+/qgsPtqYGKyBWFBlXUULY3ItAIQiUZrdATZXJ7+BcfpCVDQnr0DUabu/iL1xMt563t31XsqXvrfrPY4vOb7t+5e2vESjt/HQ+iPE4WDze5A+POGpcpWrikx9Ro+9rTuoYFeLhuH2WMA1rIt9ViSrJGTT2fGHAzgDzh7py/AsM2qVgmW75Zwf6Fo8AZ5fGrshO3l8Hq98m/qa99q3FVx+5BDCkSg761zsqEsdgHv123IaXYf4kGAg8DlhaeKDjDZLHortc4ia/E2UtZYlbWv0NWLUGFHsNxPuje1v0OSTkuz9kcsf4qONtUnbolH4ansD/zxnWtz2y48cwmsrU5+//11RQZUjMWAj9uFuiC2rT8ZZCT2UXL47lDpL8YaS//uubVjLqLRRSdte2PyCjO/FgNHlAEsgEODII4/sib4MWqFwFLc/lLJdpVB02K4AvMFw+/eK2OyTVNyBMHq1qu37Az3dcwfCHbYfkK+DKiAqLQ5/6kGdJ+hBr2rPHO8OumUGixj4gl7Y/hGUJH7WVrRWkNGD+Vc2NWiJomCoLT7AkqySkF1nB+ixSkJatZIRWWaW75abr4EuGI7g9seuNWpVx9c8lz/UltzWHQgRCKW+3vmCESJdXwk98ESCsVxoqQRcEEn9O++s0AGO4Q/7USrih56+sI+DWK0uekE4EiUUSf1v4/QGsRrjyzEbtSpafanHjS5/qIfmPA4g4eChtfeh/Wev7S/VZ4SM78VA0uUAy1VXXcWLL77YE30ZtKwGDadMyE3ZHopEOXpk6gR0WpWS2cPS277f3eBmQkHqNbhTiuxsr2sfaGWYtaTtd4HcS6mIPUU+JEOPTt0W9HFSyQkpm2fnzWZt/dq27+cXzseqG+S5OcTAt+MzCLgTAiyhaIhabx2Zhp6bwbK+QYtVGybDEBvohNU6oipN0kpCdp0NoMcS3QKMybWwbHeT3IANcBkmLceNjc3W2l7bylEjUwcRTxqfy4ffzdIcl2elJCN1jpXZw9Kl0hCA3h6XyynBuLNAbzvkt7Hr7BjVyZcvqpVqTGoT4Wj8zffM3JmYNKakrxF9S69WMj4/9Zhr3shM/vHJ1rhtH22s5cRxOSlfM39UFnZD8jGn+I4pE9QpylKr9d2alLq7jbCPSNmWZchKObtlQdECbLpD/wwSoj/oVIDlxhtvbPvy+/3cf//9zJ8/n+uuuy6u7cYbb+zp/g5IKqWCs6YWkPVdtaB9ZVl05Nr0/PSY4ZiTDBKHZprIt+v59Slj0ahi025fXFbGtQtGJE0KOWdYBlUtXlzfPR08ZUIuGSYtvz5lbNK+XTK7hDTjIQ5O7cUwIkkQRaGE+b9iVMYYxqYnvr9OpePCsRfy7s53ATCqjVw18SoMaklYKAa4jW9A2lCwFcVtrnXX9XgFofX1OobYQij2fnwoFIR0lqQBFp1Kh0ljpN5T12P9GZNrpckdYFdDx0/FxOFNqVRy2sQ8cq167v5gKz9bMAKDRpWw34hsMyOyzSzd1cQxo7LYVuvC4Q0xvcSesK9GpeD208ZhN2p74Sfo55QqmHRu8kS25hyYeHZsn0OUZcjixhnJx4KXjLuED/d8GLdNrVRz84yb5cFJP1WcYeL208aSLMf43BEZZFt0LN/TErd98c5GphTZkz6cM2pV/HzBCGxyTnbMnAPH3p687djbwdR/k8Fm6DM4b/R5SdtuOeIWFpYvTNhu0Vi4ZNwlaFXydyEGhk4FWFavXt32tXbtWqZMmYJSqWTDhg1xbatXr+7p/g5YhWlGXv/ZkVw4sxijVoVRq+LCmcW8/tMjKUwzMiTDxOs/PZJTJ+SiUyuxGtRcfuQQnrniCArTTYzKNvHGT+cyf1QWLd4AH2+s5oWrZjFveCYalYJsi46bTxrNT48Zxt8/3UaeTc/vzxjHH8+cQJpJx7Fjsnjq8iOYUGBFrVQwJMPIXT+YyDXzh5NhThFF7yxTJpz5IJx4J1jyQKWJzWq5+nPIm0S2MZt/Hfsvrpl0DXadHY1Sw7FFx/L4iY/z3Mbn8If9nDTkJF4+/WWKLEUHfj8hDmcBT6w885B5CU2Vrtia7J5aIhQIw/ZmDUOs8dOPQzpz0iVCEMvDUt+D68FH5VhQKmDZLlkmNNANyTTx0o9nceL4HF5csofXfzqHk8bnoFMrsRs1/GjuEB65aBp3vLOB/zthJD+cXsjbayrJMGn55/lT+eWJo8g0a9GoFBwzKot3fj6PUTmHOANzILEXw48+gWmXx0q/a02x///Rx7G2bqBRaTh5yMk8dNxDjEobhVqhZqh1KH87+m9cMPoChliHkKHPQK1Uc1TBUbx82ssMsw/rlvcWPWNohpFXfzKHOcMyMOtU5Fp13HTiKO7+wSTMOjV/P28yQzNNqJUKxudbee5HM8mx6Hj68hlcOXcINoMGnVrJSeNzeOOnRzI0U2YrHZBGD1MugvNegOyxoFTH/nveC7HtmkMcl/cgi87Czyb/jD8e+UcKzYWoFWomZE7gqZOe4siCI/nVEb/iknGXYNFY0Kl0nDb0NF48/UUKLYV93XUhus1BlWk+nPX3MrC+YJhmTwAFYDdq0e/3BK/FE2ir9pNt1WHYp3yy2x+i1umjqsWLUasm26JDoYitd1UqFGSYtCiVCryBMEql4rv2+McSVS1eguEISoWi+8voRSLgqoVoJDawM9jjmkOREI3eRqJEMaoM+INeHEEnUcCsNmLXWjB0cgpzq7+VBl8DNe4a1Eo12cZsco256NSJs4RE/9Hfz89eseF1eO1K+METYIlfOvjWjrf5tOwTfj4lSVWubrC5UcP/fZ7FddNaKLS0r5NO3/UFGm8Le+bflPCad3e9RzAS4NaZv+mRPgH89q31TCiw8Y/zp/bYe4iO9da5GQiHqXH4qG7xEQVyrTpUSgXhSBSrXkPrd7Mvo9Eo5c1eMkxasq16Ms06wuEI9e4A0UgUs16NRS/LEJIK+sDbCCjAkB67WfO2xBJrtlbFlgqZcxI+f7qqydtEIBJAo9SQ8d2yxnAkTKOvkUgkgj/sp84bm5WXa8ol05CJWdseEGv2NdPka6LR24hdZyfDkNF2HBGvp8/PVl+QGqePGocPs05NjkVHflr7GLG+1UcoHEWnUZJuah9neYMh6pyxJNNWvYY0U2yGgscfot7lp7rFh16rIseiI8eqR5lsqsxg5mkGT2OsoqBKA8ZMMKb1ahcC4QAN3th4WoGCHFMOmYbMTs02afA0EIqG0Kv02PX2tu3BcLAtsbVFa2mrLNTsa6bZ30y1qxqj2kimIZMCcwFKZZczWgjRp7q89uPKK6/kgQcewGKxxG13u91cd911PPXUU93WucFIr1GRZ0u9BMZu1Cad7tzo8vPIop089c1u9uYjyzLruPP7E3h00U5Wl7eQa9Xz5GUzGJtnTXkRy7f34PIbpRKseSmb1Uo1OaYc/H4XK2u/5eZvbmurTqJWqvn5hKs5e+QPsZlTr+0FqHPX8e6ud3lozUMEI7FglFlj5s65dzIrdxZmnTzRFP3Y2v9C1pikNzeVrsqeTXDbqEWjjJJnik9CF9JaMDQmr3Rm19nY2Lipx/oEMDrXytJdsTws+weFxcDh9odYuLWOX722Ds93ydX1GiV/OGM8p07Mw6LX4AtF+L9X1sTNaBqfb+XRi6dTlG4k19p/n+z2Gxo9aArav2+thY9ugw2vtm9LGwIX/Beyxxz026Qb0hO2qZQqtCoti2sX84fFf8ATilUp1Kl03DDtBk4ecjKZxkxq3DX89uvfsrRmadtrR6WN4oEFD8iT7l5W3+rn/o+38vK35W0FIfNs7eNJhUJBliX5eWfQqCnJiL/VaHL7efKr3Tz65S7C3w1Y001aHrtkOlMK7WjUcjMNQEs5vHo5VH7bvq1gBpzzDNh7Zza3K+Dis7LPuHPpnfjCPgAMagN3zLmDBUULkpZc3lemMfl4RaPSkGOKH8vXuGp4YsMTvLrt1bZktxn6DP5+zN+ZkDEBjVoC5uLw0eVPsWeffRavNzFBkdfr5T//+U+3dEp0TTQa5aONNTzxdXtwBaDe5eeGl9fw82NjCadqnD4ueHxpvy+PV+2u5tpF/xdX+jUUCfGPdY+wtmHdAV+/uWkz/1j1j7bgCoAr6OKmL26iyl3VI30Wolu4G2DnZzDsmKTNla7KHi3RvKlBS6ElhGq/K0NYZ0EV9KII+RJeY9fZcfgdBMI9Vwp3bJ6VGqePiub+/dklDk1po4frXlrdFlyBWBWgW15fz/Y6F63eILe/uT5hudjGKic/eX6llGM+GKEALP5nfHAFoHkP/OcMcKQoFXsIql3V/PrLX7cFVyBWXeieFfew07ETd8DNXcvviguuAGxr3sb1C6+XUq69KByO8N8VZby0oj24AlDt8HH+40upaun6Z/KirfU8tGhnW3AFoMkd4OInllHdz8envcbTBG/8OD64ArHv37wm1t4L9jj3cPs3t7cFVwC8IS+//urXlDpLu+19IpEIH5d+zH+3/jeuklCjr5FrPr2GSnf3fw4J0ZM6HWBxOp04HA6i0Sitra04nc62r+bmZt5//32ys/tv0qWBrK7Vzz8/25G0zRsMs7WmldE5sRlHTl+IdRUdlE3uB97d+Q6haPIybg9teIJmV3XK19Z56nhi/RNJ28LRMK9vf51gPy5vJwa5Da8DURhyVEJTKBKizlNLpqHnqgdsbdJSbE08P0L62KyvpKWa9bHpyvXehh7r1+hcCwpg6S65sRqo/KEwT369i1SLlh/6fAcOT5DPtybP97OxykmDBFi6zlUD3z6Zoq0WGrd369v5Qj5e3Pwi0RSFep9c/yQOv4OFZYmJMCEWZGnowc8aEa+21c+/v9qVtM3pDbGhypm0LZX6Vj8PfJb8b8ofivDZlp5LmH5YcddD2eLkbaXfxNp7mCfo4cn1KT4bgGc2PIMvyUOXg1HlruKZjc8kbfOGvCyrWdYt7yNEb+l0gMVut5Oeno5CoWDUqFGkpaW1fWVmZnLllVdy7bXX9mRfRQqhcJQaZ+oPubImD9nW9jWxO/Yp0dzfBINetrXuSdle0VpBIBxI2e4P+alwVaRs3+Pc020XBCG63ZoXoeCIpOVSaz21hKORHivR3OhV0uBVUWRJDG6GtLE1/UlLNWu/K9Xcg5WEzDo1QzKNLNstiW4HKl8wws761JWi9jS68QSTB973avZI8LzLgt7YVypNyZcGHixP0ENZa1nK9nJXOf6wP2UABmjL3SB6XiAcwelNfd7tqO3aeDIUjlDe5EnZvqm6awGbAcvfemjt3dGFsL/DWSrdOZ4ORULUe1MHjXa27OyW9xGit3Q6B8vChQuJRqMce+yxvP7666Snt6+t1Wq1lJSUkJ+f3yOdFB3TqpWUZBgpbUx+0RqZY467MRmf33+Th2o0BianjWFR+aKk7SNsw9GrU6+xN6qNDLcNT/mEa0z6mAOuGRWiT9Rthuo1cEzyZLF7Kwj1VInmrU2x3E5F1sTBdFhrJKpQJg2wmLVmNEo1dT0YYIFYHpYlO2UGy0Bl0CiZmG9lTXlL0vaxeVZMOjVKBXFLYfeVaZYSn12mMcYCur4UM1uzRnfr25nUJkaljWJV3aqk7SNsI9Cr9agUKsLRcNJ9sow9N4tPxNOrlWSZddSnmB02vqBr40mNWsmIbDPbUgRmphf3bgLXfutABR32KxLREwxqA2PSx7C9JfmMo7EZY7ttPK1Wqik0F6Z8QDohY0K3vI8QvaXTM1jmz5/PMcccw+7duznrrLOYP39+29ecOXMkuNKHsiw6bjkpeSK6NKOGojQjuxtiTwazLTrG5vXfAAvASUNPwaBOnmz3F5N/is2UOslthjGDn0z+SdI2nUrHmcPPRKVUJW0Xok+tfh50Vig8ImlzpasKs8aU8tw4VFubNFi1YWzaSGKjQkFYb0HjTXxyrECBXZdGXQ+WagYYl2ulssVL5UGs+Rf9n1at4rK5Q1EnScCuVMDPjhmB3ajhjCnJxxrzRmSQYZIqcV1myYO51ydvSx8G6UO79e10Gh3njj4XtTLx+Z4CBVdPuhq7zs73hn8v6eun50wnowfzUIl42RY9Nxw/MmlbjlXXtvy8szLNOm45Ofl41apXM3dEzyVxP6yYsmH0acnbxpwGvRBk1Kv1XD7hcpSKxFtFlULFJeMu6VQloc4otBSmHLvbdXYmZ0/ulvcRord0KsCybt26ti+Hw8H69evjtu37JfrGkSMy+P0Z4zBp24MHo3LM/P28Kdzz4VYgNnPlpR/P7tlKQd0gz1zAk8c9GlcpwKq1ctecPzDanvxCv69htmH8Zd5fsOvsbdsKzAU8cvwjFJgLUr9QiL4SDsLal2HY/FgpxiSqXFU9WkFoa1MswW2qIj0hrSXpDBYAu95GnbdnZ7CMyYsN5JfKLJYBqzjdwHM/mhlXCSjLrOOJy45gSKYRk07DraeM5YfTCtgbh1Eo4IRx2fz1nMltJWBFF6jUMPUSmPd/oN4nQFU0Cy5+IxaA6WYF5gIePu5hck3tldLS9en8df5fKbYWY9AY+MXUX3DWiLNQKdrHNPML5nP3UXeTppdZDr1FqVRwysQ8bjphFHpN+y3DhAIrL109m7yDGE9OL0njz2dNwKJrD7INzzLz8o/nUJjWv8envcZgg9Pug3Hfh70BDoUy9v2pf4u194JiSzEPHftQ3MzZbGN2j4ynZ+fP5oZpN2BUt8+KGWkfyRMnPkGJtaRb30uInqaIRlOllGunVCpRKBSdKpEZDief0tlfOJ1ObDYbDocDq7X3Z3K4/EFa3EEi0SgWvSZhQOj0BmnxxtaR2w0afKEwTm8IBWA3asgwp35CFwyHqWzx0eIOoFUrSTdqiQKN7gA6jZIMk5b03nzCF/KDqw4iwdg05CRlZztS7yynJeAkFAmRrkvDoDHRGnASJYpFbUapNeDwx6Y1W7VWrLr2f89gKEi1p5oWfwsqhQq7zo5Za8YZcKJUKEnTpeEL+XAH3aiUKtL0aRh8Tgi4QakBUyZo4i/09Z56vCEvGqWGTEMmmhQ3wuLg9fX52We2vA8vXwDf+2fsqXESt379GwrM+RxffHy3v300Cue8ncucAi/HlySfIZK+YxGqgIuyo29IaPu87HNKW0u5+6h7ur1v+/r1G+uYNTSde8+Wp1m9rSfOzUAoTL0rQDgcQaNW4A9GUCogGlXg9AWJAmlGLQV2A0qlgjqnD28wjFKhQKWERncQs05NplmLRS+fx53mdYDvu2Cp3h5bbhD0grMSvC1gzAAUQARUuti1e7+Zn63+VhyBxOvvvtfJDENGh0+4y5xlOANOItEIdp2dfHM+aqWaBk8DnpAHpUKJEiXukLvteBZt12ZMDBY9fe30B8NUtHhxeoPoNCrSDJqDCq7sFQxHqHP6aPYE28armZYBPgPN3xqr/hONxJYAGfcpY+6uj7Ur1d+NP43tr3HXg88JOguYs2P/PYAWVw2uoBuFQoldZ8dkOHBQ0h/y0+hrJBQJYVAb2pbiRaNR6jx1tPhbALDr7WQbsg94P+gJeKjz1hGKhNAoNZTYDhwk8Qa91HpqcQQcaJVa7Do7eebuD/IK0dM6lYNl9+72JGerV6/ml7/8JTfffDNz5swBYMmSJdx3333ce++9PdPLAWJPg5u7PtjCJ5tqiERharGdP5wxnjF5FtQKJTvqXfzx3U18vSOWP2TeiAx+tmAEd763mc01To4emcVvTh3DyGwzSmX85CNPIFYd6I63N7K1thWNSsGZUwr4vxNGMaGgdyLdcZzVsdKPK5+BoAfShsKJf4pVR+nk2tEsaxF7J0Huad7OnxbfxZeV3xAlyrTsafxk8jU8vOYR1tSvYVbuLG6ZeQvDbMNQKVVo1BqKrcUUU4wv5GNr81Zu/OJGNjVuQqVQcVzxcZw/5nxu/epWGn2NnDrkZK4tOZ38/14au6BNugDm/wpsBTj8DpZWL+XvK/9OpasSo9rIuaPP5ZJxl5BtlMpZohuseR4yRqQMrgQjIeo9dUzOmtQjb1/rUeEKKik0p05mGNabMbQkT05p16exsm4V4Wg47olzdxsreVgGjDqnjye/3s3766v501kTeG1lBTvrW/n1yWN5/KvdfLOzgWgUZg9L53enj8PhDXLrG+vZ0+hBr1Fy/hFFXDN/OHk2eeLdaZEINGyFD34NuxfFtg1bACf9JVYx6L0bYPbPwNsMKx6PlY03ZsC8G2HSeWDOIhqNstuxm3tX3MviqsVEiTIzdya3z76dUmcpf13xV8pay9Cr9Pxg5A+4csKV5Oy3rDcajVLqLOXeFffydeXXRIkyPWc6d8y+gwpXBfeuuJc9zj3oVDpOGXoKxxUfx5+X/plzRp3DD0b9oMfyUInkKps9bKxycvcHW9jV4EanVvL9qQX89JjhlGSYDuqYGpWSgjQjBYNlMlLTLvj4t7D1/ViApWAGnPY3SBsOtevgg19B7cbYDNYJZ8OC28BeFAumdCKgslcg4GF78zb+suJe1jWuR6lQsqBwPjdOu4Fie/LxBUCtu5Yn1z/JmzvexBf2UWIt4eYZNzM9ZzpmrZkcU07CedyRytZKXt7yMq9ufxV30E2uKZefTv4pc/LmdBgwMWgMDLEN6fT7CNFfdWoGy75mzpzJ73//e0499dS47e+//z6//e1vWblyZbd2sLv11RPyymYPZz28mPrW+ERhWpWS966bh06j5LR/fo3LH3+DY9apefiiaVz+9HIi0dgsljd/diRDM81x+327p4lzHluSUOJyeJaJF66aTa4tdWLYbueuh1evgD1fJbad/TSM/z4p1yEkUenYwwUfXEqzP355gk6l44EFD3D9wuvxh/0Y1UZe+95rFFmL4vbb0riF8/93fkLCvFxTLjfPuJmbvrgJiE2FfGr0leS8emVsh+zxRC57h/eqF3PbN7cl9Gtu/lzuOuouma7cjQblDBZXPdw/Bmb8CMYmzztQ7qrgd9/8jgvHXkiRuTDpPofiy3I9f1mazu1zGrFok18STHXbyNjxGdtOu4vofk+ldzt288q2V7nn6HvI6sEy0it2N3H/p9v45tfHUtDPlzoONN15bja5/dz437Us2lbPA+dP4e+fbKO0ycMzlx/BdS+vTqhaYtSqePTi6Vz5zApC+2S4nVZs59+XzBj4T767S9NueOyoxAokOguc8yysfxV0Zlj+eOJrZ/8MFtxORaCZ8947D2egvdrL6LTRnD/mfP6w5A8JL5uaNZW/L/g7GftUP6tsreS8/53XNgMVYkt7r5xwJbd/c3vCMcamj+WHo37InUvv5KwRZ/GrGb/C0oWbzsGgJ6+dH22s4ZrnEsf24/OtPHzRtIMOsgwaLeXwxHGxIOa+7CXw/UfhmVNJGLxnDIfL3gNr1/Jb7mjczDnvX0goEv8ZmmnI5MWTniEvySySRm8j139+PWsb1ia0/evYf3FM0TFd6kOVq4q7lt3FoopFCW23HHELZ486u8NiFUIMBJ1OcrvX+vXrGTo0MenZ0KFD2bRpU7d0aiBatK0+IbgCsRJ4n22u5aXlZQnBFQCXP8Snm2s5ZnRspkSLJ8g7a6oIhdoTUTa5A/zpvU0Jn88AO+vdbKnp5bJ3jsrkwRWAj2+D1upOHyoaifDpno8TgisQKyH37s53OaHkBAA8IQ//3fpfguH2Up2tgVb+ufqfSasR1LhrqPXUMtQW+3suay1jiyIItu9uYOs2Uu9r5P6V9yft2zdV3/R45RQxCKx/BVDA0Pkpd6naW0Goh5I77mjWYNOFUwZXAEL6WFBX421JaLN/F2TsyVLNEMvDokDysBzuap1+Fm2rJ9+mx+0Ps6fRw9zhmXy1oyFpSVhPIMz/1ldzwrj4J6iryloob05d8lXsIxyMzShNVt7V3wrbPoApF8b2SWb5Y4R9Dt7Z+U5ccAXgnNHn8MT6J5K+bHX96rYKaACRaIQP93wYF1wBOHf0uTy+PklgB9jctBmr1opFY+HtHW/T5Jcyzb1lT4Obez7YkrRtY5WTimZJOn5AOz5NDK4ATLkAPvltYnAFoHEn1Kzv0tu4vc08svbRhOAKQIO3gW8qk4/LK1wVSYMrAPesuIf6Liawd/gdSYMrAI+sfYQad02XjifE4ajLAZaxY8dy1113EQgE2rYFAgHuuusuxo4d262dGyj8oTCfbEry4fqdCFG+2Jb6A2xlaTNjctuf1ize2YjD1x5E8AbCrK1IUWIROjx2j6hanbrNWQX+5OX5kvH4HXxRszRl++q61YxOby8jubhqMa3B9gGkO+jm29pvU75+Td0aRtlHtX3/VdMGyGrPcO/yNdPoS30zt7V56wF/BiFSikZj1YOKZoI+9VPHitZKLBpLj1UQ2tGiIb+D5UEAoe+eGGs8iTc3Vq0VpULR4wFHi15DSYaRpbskwHI421wdu0EflWthdVkseD42z8rKPcmTKAN8u6c5aQW81WUtPdLHAcfnjN3opVK2DCKhWCAmmUgYd8DJV0lu0tJ0aXFBlP2tr2+/UfQEPXxZ8WXCPlmGLEqdpSmPsaVpC8XWYqJEqXZ1/iGNODT+UIRd31WhTGb5bvks7lDID1v/l7wtayxUpB6fsr2D8zUJV8DJirrU4++F1UsIBBMD0mvq1qR8TUVrBZ5Q14LYqco6AzgDzrgxuhADVadysOzr0Ucf5Xvf+x6FhYVMmhTLB7Bu3ToUCgXvvvtut3dwIFArFHFVEfYXjkTJ6KD6QZpRGze7Jc2kjcvmrlLGyts5fclvkPJ6c3kQxMrLpaJUgbrzlR40Kh0ZutRLcOx6O+5A+8U/TZ+GVtl+fJVCRZouDW8o+VMWu95OZWv7wDBHa497wqdVG1AqlESiSUrXAum69KTbheiUmnVQtwmO/V2Hu1W5Kskw9MzfWjQam8FyRF7iDLt9hbVmUChRJwmwqBRKbDp7j5dqBhiTZ2WxzGA5rGWYY5/RLl+orcyryx/ssApQukmTdJZnliwP6hy1LpY8MxVjRsoKZntpVNqUJZLVSnXSJ+dA3PKgvUni9xclilapJRAJJLRBrFSrOxi71pu15qT7iO6nVirQqZX4Q8nHQFkWWerRIaUaLCmW+QTdYEiL5TxKxtq15K5qRaxgQ7IZ3wBZujRUysRzvKNlvRqlBk2S13QkXd/xWEWvkr8ZMfB1eQbLzJkz2bVrF3feeSeTJk1i0qRJ/PnPf2bXrl3MnDmzJ/p42FOplFw8O3X27GGZZq45enjK9u9PLeDDDe1T6i6bMwSTrv0DL9Os47IjhyR9rUIBJ4ztfGKqbpE3MaECT5uxZ4Kp8zkatFojF48+P2X7WSPO4sM9H7Z9f8WEK+IGX5mGTC4bf1nK1x9VcBTLa5YDoEDBCdnToGJFrFGpIk2fzvzC5Es3TBoTwzpIGibEAa19OTbAKpjW4W6VrsoeK9Hc5FPiDKgoOMAMFhQKQnoL2iQBFgC71k6dJ/VMve4yPs9KZYuX8iZZGnK4GpFlxqxTs6qsmdnDMlAo4KONtZwxOXW+gR9MK+R/6+JnLujUSqYU2Xu4twOEzgxzr0/dPunc2LKEzFHJ29OHYdCauWxc4vX0q8qvUlY30yq1TMic0N4NtY6Lx12csN/CsoWcPPTkpMdQK9UMsw1jj3MP2cbsHs3zJOKlGdWcNSX5ealRKZg9TB4ydUipgiN+lLxtw+sw48rkbQpFypxsqWRYC7l89AUp288bdQ6qJEHUyVmTUwZRTh92+gEDJvsrMhdh1SafkTsrd1bKNiEGki4HWABMJhM//vGPuf/++7n//vu5+uqrMZkkyVVHitON/ObUxCVUp0/KY9awDMYXWLly7pCE9gtmFlHr9FH3Xf6Wn84fxrBMY9w+6u8COPtf6JQK+Of5U8np7Rks5jy48JXYE7N9ZY2BE/4I2q79rQyxFHPthKsTtp9UchIKFOxx7gHgwjEXMi5jXNw+CoWCE4ackBAkUaDgF1N/wcLyhQQjQZQKJX+Z/kuyVz4fy/CuVMM5/8FszOSWmbcwxDok7vV6lZ6HjntIqgiJgxcOwbpXYOjRsb+3FALhAPXe+h67qdjREhtYHWiJEEBIa0HjTRFg0duo6YUAy5g8KwpgiSwTOmzlWPU8ffkRaNVK3lhVwe9OH0eLJ8CeRjeXzkl8GHHhrGJUSqhsaZ+JqFUpefzSGeRYZQZLp+VOjiWr3d/sn8XKNH/5Vzj5rsSHIMYMOO8FMGczMm0kV06Ivyn8YPcHXDz2YkalxQdnNEoNDx73YMJ1cqhtKD+Z9JO4bR+Xfsw5o85JuIarlWp+P+f3vLDlBSwaC/869l9y3e1F6WY9P1swgvH58TfFGpWCf10wDZtByqMfUNoQOPHPidt1dph+eay65r4USvj+411OcAtwdOHRnFi0IGH7zVOuo9CU/HhZxiz+dey/EoIso9NG87MpP+tyQtpcYy4PLHggYUlzobmQ22bf1qVqREIcrjpVReidd97hlFNOQaPR8M4773S47xlnnNFtnesJfVmlpNUXpL7Vz1c7GvAFwhw1MpNcm4H076ZFt3gC1LX6+WJrPQoFzB2RiVql4MMNNaiVShaMziLbqkOpUKBSKrDoNYRCERo9AdRKBdEolDd7WLyzkQyTljnDM8i26DBou7wS7NCFArFktuXLwFERyzGRMQIsuQd1uFZ3PY6gm7LWMiLRaKxSkELJV5VfE4lGOLLgSLIMWdh07SWpo+EwrZ5aFAolQbWWGncNS6uWYtKamJkzE41Sg8PvQKVUYddasHmaMWz7GMzZUDIv1ldN7MJS56ljj2MPa+vXUmAuYHLWZHJMOag7uDEWXTeoqght/wReOBtOfyBWMSCFUmcpv1/yBy4eexEF5oJu78ZLm828usXM745sOmBxr/Qdi1AFXJQdfUNC24qab/mq8isePeERFAcXu++0295az+RCO38/b0qPvo9o193nZigcodrha8vBMjLHwso9zWRZtRSmGVm6s5FIFI4elYlJq0KhUOANhClv9mDUqilIM5Bt0aFV91xZ8AHH3woBFwT9sOW92FPy4cfFrnUhL7gawNsE1gJo3gXV6yBnHGSPB70t9nBEpcHpd+LwOyhvLSdChGJLMTadjUA4QJmzjNV1q8kz5zE9ezpalRaTxkSECP6wH5PaRCASwBP0EIgEWFi2kFAkxJEFR5JjyCEYDVLeWs7KmpVkGDIYnzmebU3bMKgNjM0YS64pF6WiZz9fDkfdeX46vUGiEBc8KW10U9HsZdnuRrItemYPy8BmUMsSoc7ytYKnEZp3x3Id2YeAMR1MGbFKgn43+JtBoQZjGhjSQWs84GGTaW6txhF0U+GqQKVUUWQuwq61YDamTpIfCAeo89Sxum41te5apuVMo8hSRJaxPdjqDDghClbdgf++vEEvtZ5aNjRsoKy1jImZEymxllBsLW7bpzXQSjQaxaK1oOhCZVEhDgedujs866yzqKmpITs7m7POOivlfgqFgnA4sVqLiLHoNVj0GoZlJV8/7A2GWVfRwtbaWA4Qu1HDvBFZXHfsSACqWry8vaaKt1ZXUphm5OfHjmDhljo+3FiDSavm4tnFTC2yc+2CEb32M6Wk1kJaSeyrG3gVUdY3b+blLS8TioQ4Y8QZzC+cn3SqMUCNo5SFZZ/xbtmnaFVaLhj+faZlT+PKibEnb6WOUt7a+RZfV36NWWPm/DHnMz5tDIajbkx6vGxjNtnGbGbmyTI40U3W/TdWpjG942Vme5NHZvbQDJZdLRryzKFOVU4P6y0YWsqStqXp7QQjQZp9LV2eUtxV4/KsLN7ZQDQalYHZYUqtUlKUbqQovf0mYt8ktuPzbVS2eHh7dRUfbazBoFVx9vRCdGolLywr46p5wzBp1RJg6QxXHVR+C0sehoAbxp8J438I9qJYezgUu/lb9zLs+ToWcJl7PUy9BJyV8NGtseqAJUfCEVfh05tZU7+GV7a+QpQoPxj5A+bmzyXHlEOWMYsJmRMoby3n4bUPs7VpK0NsQzhrxFlEo1GcASevb38dZ8DJsUXHcvqw0ymwxAeOMw2ZTM2e2vb9/jNjRM+ocfpYsrOB55eWEY1GOXdGEfNHZ5Fp1BIKR9lU6SDPpscXiFDe5EGfLblwOi3ohuo1sPwxCPlg4rntS4B8jti5t+NT0Flh5tWQP/WgAyw+BXxds5T/7f4fOpWOC8dcyNTsqXT0r6VVaSm0FFJoKUxoq3XXsrhqMa9vfx2Ac0edy+y82WR3kG8xFA3hDDhZU78Gb9BLMByk0FJIMBykxd/CytqVvLTlJYKRIGcMP4Njio4h13RwD2CF6I86FWCJRCJJ/190nxqHlx89+y2bqtrLH762soIJ+VaeuGwG4Qic9+8lVDR70agU3HTiaC5/ejm1zvbElEt2NXLC2Bx+f+Y4CuwH98HcH9V76rnly1viqgGta1jHc9bneOLEJxI+lKsdpVz52U+oaK1o27aydiWzc2bwlzl/xBUNcsVHV8ZVB1pWs4yTh5zMTVNvINfa/bMEhIgTcMeeIE84hwNFNqpcVdi0VnSqzieH7oqdLRqG2lJUDtlPSGdBFXCjCPuJquKXZth17aWaezrAMj7fynvrqtnV4GZ4ioC1OLztbnBz4eNLqXb42rYt3dXE/FFZHDM6i/MfX8rPF4zgx0cPwyrLFFJz18P7N8Omt9q3Va2CpY/AlR/HHoLUb4InT4K9FUaqgW0fwtG/is1E3fJdFZTqNdQVz+SGXa+wvnFD2+HW1q9llH0UDx//MFnGLL6t/ZZrP7uWcDT2wG1T0yZKrCVUuip5Z2f7LOhNjZt4YfMLPH/q83FPtkXvq3X6+MlzK1lT3tK2bVVZC/NHZXLLyWM477GltO6XZPqyOSVcM384+faeqW43YLTWwls/g52ftW+rXAXfPg3nPQfPnAruhva23V/AhLNjS+ptXRuPVruqueKjK+Kqeq2sXcnc/LncOfdOMo1dy+VW667lZ5/9jG3N29q2ra1fy7iMcfxrwb+SBlm8QS/v73qfO5fdGbf92U3P8uSJT/Lqtld5d1d7UZT1Dev5z6b/8NRJT0mQRQwYXZ5n6fP5DryT6LJF2+rjgit7bahysrWmlReXl1HRHFt/fsqEPN5ZWxUXXNnrk821lDYOrOSP6xvWJy21XOos5f1d78dV+AkHfby5/Y244MpeS2u/pdbXxCPrHk1aevnDPR9S7e35HBJCsPWDWM6DoUcfcNeeTHDrCymodqnIMx04/wpASJ+6VLNdZ0MB1Hl7tlQzwOgcKyqlgiVSTWhAcnsDPPXN7rjgyl5fbKvHbtSSYdLy4MId1Ls6rn416DXujA+u7NVaA988EJvd8s717cGVfX31Vxh3ZnsQOGsMy0MtccGVvba1bGNh+UKafc3c9vVtbcEVAIPawOj00XHBlb2a/c08uPpBPMneX/Sapbsa44Ire11wRDF3/m9zQnAF4NklpTR7kld9Evuo3RAfXNmraCZ8cU98cGWvDa/Fltd3QSgc4tVtryYtmf5N1TdxQZLO+rLiy6Sv29S4iaU1S5O+ptHXyN3L707YHowEuWPxHYzPHJ/QVt5azts73iYckVUQYmDocoDFbrdz9NFH89vf/pbPPvsMrzd5+VvReS2eAC8tSz7tHqDJE+D1le0ftEeNzOSjfaoK7e+tVYkfrocrb8jLK1tfSdn+5o43afa1l6Rrctfw9j5VhfbnDLn5tPTTlO0f7vno4DoqRFdsfAMyR3cqJ1FFa0XSsqbdodSpJoqCPHPnBjWh79Zea9yJARa1Uo1VZ6PW3fMBFoNWxYgsM4t3JhmYisNenTuQUDFoXwu31DHru6TuSyXI1rE1L6VuW/8KeJpiM1qSiUahbnMsXwTgGnkcr1YuSnm417e/Tou/JeEBxviM8SyvXp7ydZ+UfoIj4EjdT9GjWn1BXkwxBi1MN7K4g3Psi631PdWtgSEcjM1USWb4sbC5g7yWG9/o0ls1+ZuSBjH3enXbqylLqSfT4mvhte2vpT7e1ldx+hMfDO9s2Ukomvx9djt3k2NMnuT2rZ1vxY3nhTicdTnA8umnn3LyySezbNkyzjzzTNLS0pg3bx633Xbb/7N31vFxVekffsYlI3GXpm3q7t5CaYsUdy8OxfnBIgssLL74wuK6uFNYtFiRllJ3lySNezIZl98fp5HJ3EkyaaRN78MnH5J77r1zks6Zc+573vf7ZfHixV3Rx8MeBcElBAoFtKZM7G+19dAj0MrvE9j/X6fdLyCXwMl0Mc5aIXDbZ2rbp/pclDsriDeEF6c7EHZXa1AQIMnYvkWXT2MkoFSFdRKK0XWPVTPAkFQLS3dV4Pf3rs87mbYJBAKN86L8r98WrfyFAoHW2xuuVzT8rVtfMjb/d2lOWzpJAQLyP+QhSm9bb3Y7rfmMtO1BEtlLdfK/Vbj7tfU6YdsDnd9HGZmeIuIAy7Rp07jjjjv4/vvvqa6u5ueff6Z///7861//4uijj+6KPvZ6oo1azhifEb7doOak0U32ar/vqGDOkPA2ZyePDhWpOlQxqA2cNuC0sO0n9juRmP3aDwAxUcnMz5oT9nyz2sjsjNlh24/Olt/DMl3Mju/B5xZOVW1QZCsEuk7gdk+NmgSjD017dUIVCrw6i2QGCwgdlpJuCrAMTbVQbfewtbiuW15PpvuIj9JyzLDw2V2zBiWyfI/YVZ/Ut2uCj72GkWeHbxt2mnArSRkl3a5QQOIQ4XwCmHf9xKmp4csaT8k5BavWGqLBtLF8I+OTx4e9bnbm7CAHQJnuxazXcNYE6TVoUbWDSX3Da2odMUC2zG4VlQbGXijdtmcJDDo+/LVDT47opWJ0MRzX97iw7aflnBaR86VVZ+Xk/uH7cOqAUyUdhfpF90OtkH6dLEsW5Q7pzNPj+x3f5fptMjLdRYe87rZv385LL73EBRdcwKmnnsqXX37J/PnzeeKJJzq7f4cNRw5KZFCyOeT4oGQzA1MsnDcpi1SrsMP7ekMRJ49OI8GkCzn/iIEJ9InrPQK3ACMTRjIyYWTI8XRzOvP7zUelbHo6VGv0nDbgdFKjUkPOH5cwmmR9HAtHXUW0Ljqk/ajMo0gxhA9cych0CpsXQfwAYQfeBvts+1CgIF7fNQ+Re2o0JBkjq3n26s1o7dIp4zH6aErtpXTHdnROohmtSimXCfVCzAYtl0zLJtEcOsdN7R+Hzeml3Obmihl9STB3jfhzryGuHwyUeOiKSoDpN4I5CY5/GtQSdrtTboBtXzftpJdsYqIugcGxg0NOzbZmc2TmkcQYYrhv6n1BVsoOr4PdNbs5ts+xIddZtBauHX0tRk3vWrccakzuG8fwtNCH5XeW53LXcUOI0oZG4c+ZmElMlCww3SbJwyF7Zujx3KVwxO1giAltG3xik8tXO9GoNJw58ExJodiJyRMZGDswovspFApmZcyiX3S/kLYBMQOYkjJF8ro4Qxz/N+7/Qo6rlWrumXwP60vXh7SlmdI4uf/JQet5GZlDGUUgEFkOWlpaGg6Hg1mzZjFr1ixmzpzJiBEjDhmrzNraWqxWKzU1NVgsbXu5dydF1Q5+2lrKeyvyUKDgrPEZHDk4kRSrUGgvqHLw9YZC1uRXk2TSc8b4DL7dVMz3m4sxatWcNymL8X1iSI/pfQuVUnspywqX8cG2D4StW98TOKrPUaREpUieX1STy+K937GuahtKhZKZyROZkDyBRGsmfp+PPFs+n+34lN8L/xA2zQPPZGTCCFIlLOpkuo+DeXx2Cm47PNoXhp8Jw8NnZjXw/rb3WVG8gsuGX9bpXQkE4IwvkpmU4uCoPu3X0ord/Rua+jL2HvG3kLYd1Tv4dMdnPDHr8UZXoa7kwa+3EGfS8sZFsn16V9MTY7Ogys7Hq/bx7aZiDBo1Z4xLx6xX89GqfC6d1o8hqWZio0KDMDItsJVA7jKh9+D3QcpoGH0umPZnxvm8wo556TOQ+4fQhprxN4jtB9V7YMVrwlrWmg4TrqBEo+WPoqUsLVgKwJTUKRyRcQQx+x8UHR4H+bZ8Xt/wOtuqtpFlyeLUAaeiVqgpc5TxyY5PqHPXMTN9JqfknEKaKe2QWUMerHTG+CyucfDr9jK2l9qAAFlxURw1KInYKC35VQ4+XJHHvmoHGqWS40akMCTFQnps71tvdgl1RbDnN2HVjBLMqTDkeLCkQeVuWPMW7Fy836b5ckgfH3GApYFCWyE/5v1ISX0JAQIMiRvChOQJJBg7lglbXF/ML/m/8NmOz0AhMmFmpM8gKSr8hmStq5ad1Tv5ZPsnOLwOkqKSOH3A6aSb06l2VbO8aHmjTfP8vvOZmzWXFJP0el5G5lCk/bli+0lISGDr1q0UFxdTXFxMSUkJDocDozHyD9nnn3+e559/nr179wIwdOhQ7r77bo455piw13z00Ufcdddd7N27l5ycHB555BGOPTZ0V+RgwO72Ulbn4q89ldS5vMzoH49CoWDF3kqcXh+T+saRZNYTEyV24FKiDZw7KYtjh6eAAmKMwTtzSgVM7hcPKNBrVKhVCs4Yn86cIYmolAqiDVpKbS6+31RCjFHD2KwYEi169O3N/68tgoodULQB4vpC0jCxoGpY+FTuhpLNULYV0ieANRXKdwqXguRhEJ8DFpE54vW6KLEVsql8A8X1xQxLHEVCVDJbq7ZRZCtiZMIIYvWxbCxeRbmjnNHJ40g1JhFrDs08AUg0JnJi/xOZlTGLQCCA2+em2lXN4r2L8Qf8TE6djFVlJHnbt6DQYMw5gsnp01Gq9ejVOoYmjaEu4GHx5neI0kQxJmkMV4y4nLMHnIFaqSHeFDxRlNvL2Wfbx/qy9aSb08mJyaHUXsqm8k2kmlIZEjeERGNiu9ItA4EAxfXFbK/aTm5tLiMTRhKjj2Fn9U721e1jcNxgsixZJBrlVNtez+6fhXtQ5uR2nb6vroDYLspeqXQqqXMrSW6nwG0DXr0ZY9k2RJZK8ENRjE6k95bUl3RLgGVIqoUv1xXi8fnRqDqUkCnTzRTVONhRYmNbcR05SSYGJJmJidJSVutkRW4V0QYNqVYDy/dW4Pb6mTs0mZNHp6FUKvB4A+yrtnPtETkkWw2YdBEvYXondcVifq7YDSkjRLCkZDMkDYGEQWBKEsdddeJ7Swps+gwSB4HGCPnLQR8NkxbCzNsoDrjYVbuXHXlfk23JJmnmjWyp2ESWOYMMdxXGqkpGxw3D43PjC/gZEjeEDeUbKKwvZHzyeOIMcQyIGcA/pvwDm9uG2++m1F6KzW1jYOxAHpz6IHqNHovWglqppsReQrm9nOVFyzGoDUxImUC1s5pSRynD44eTYEig0lnJ1sqt5NflMyhuEH0sfdo1Z5baS9lbs5etlVvJMGcwKHYQSVFJQRk2MgKVUsHIjGjqXF78fhibGYNKqUCnUaFVKZg7NJlVuVUkmnX0TzRhNagJBAIUVjvZUlzL3vJ6hqRY6JtgItkqkRHVW7CVQlUu5P8lxlLaWDCngFItxl7xBqjcI8ZcXH9xjlIDySPAUSXWAH0mg1IFSqUoIxpxBvSZBiqdWHdrowAR3NhVvYud1TvpH92fftH9RIaKxw51pZC/DBzVYk1hTYOoBAKBAGMSx7C8aDl6tZ6BMQPbdOfx+DyUOkrZULaBUnspIxNGkmZOEwL7AZicMpkMcwYKFKSZ0hq1Usod5eTX5bOhbAPJUckMjR9KkiEJg8pAvCGeGRkz2Fe3jyFxQ9CqtGhVWhKNiRzf73hmpM/AH/Bj1Vnl8SjT64h4dbJ27Vqqq6v59ddfWbJkCXfccQebN29m1KhRHHHEETzwwAPtvld6ejoPP/wwOTk5BAIB3nzzTU488UTWrFnD0KGhNl5Lly7l7LPP5qGHHmL+/Pm8++67nHTSSaxevZphw4ZF+qt0KfUuL99uLOaWj9fhD8B5EzOxOb08+cP2IN2qU0anccexg4lvlgrdEHBpTkGVg4e/2cKXzZwVFAq445jBxBg1GLRq3v5zC8t2N6Xuq5UKnj1nNDMHJmJoK8hSuQfeOrmx1hoQaYsXfCHSG0s2ivb6MjFhJA+HV44Sk0Vjx/vA+Z/jtaSyrnQNV/18HQ5v0874gJgB3DDmBp5Z8wxOn5Ph8cO5bMRlPLH8n3jXepmYNI4Hp95PojktbDetOiuFdYW8t+093tj0RlPDKjhn0Dlc0PdE9B47T617js/3ft30t0LBlSOvpNpVzXtb30OpUHLP5HuYmzWXqP0TWQPF9cXc8PMNbKrYhEFt4ImZT3DtT9eyq3pX4zlGtZGX5rzE0PihbQZZdlTt4JLvL6HaVU1OdA4Z5gyu+uEq6jxN2hFZlixePOpF0lr53WV6AVu/huhMsRBqBwW2AgbHDeqSruTWitTu5HZaNDfg0VlQ+jyoXDZ8uuCyxmi9FSUKSuylDIztmn43Z1iqlQ9W5LN+XzVjs+Ta7YOdXWU2znn5T0pqm6yVzxiXzrT+8dz04TqumNkPp8fHq783m4fYyoIpfRicYubWTzY0HtWplby+YDzj+sSgVR/GaeXV+fDO6eC2wfFPwTunigfABswpcPZ78P65MHaB2EFf8Qqc8pKwad7ZzFXPms6e8z7g0l+u31/qJ4jTx3H/tPu59Y+/c8Hg86lxVfPib9cFdeO0nNNIN6dzyhencPuE25mXNQ+zzkxeXR4Lf1xIvae+8dxsSzbPzn6WWH0sRbYiHl/5ON/lNjn4KVBw8/ibsWgs3PDTDdw5+U4W/rAwaM7MNGfy4pwXSW8l63Rf3T4uW3wZ++qaXBgtWgsvz32ZwbGD5ayZZpTUOHhzWS7P/bIr6PiFkzO5ZFpfrnt/bZCNs06t5LUF44g2aDn31eVU2z2NbRmxBt65ZCKZccFrq15BbQG8f16w85ZaD+d+CFGJ8NrR4KxuaovtC+d9Clu/gsV3BgvXDj0FjvoHfHGd0GNpQKmG015nd8oQLll8WZBmSbwhnlfnvkLfku3wwXnQ3BWo31HsO+lpnl79NN82c9NUoOD/xv1f2CwRj8/D6tLVXP3j1bh8TZ/Nw+KH8a8Z/+K9Le/x1pa3gq65cOiFnD3wbG74+Qa2Vm1tPK5X6Xn7mLdx+Bxc9cNV2Dy2xrY+lj48O/tZsixZALLukkyvpkMhw+joaE444QTuuOMObr/9dk477TRWrFjBww+H+p63xvHHH8+xxx5LTk4OAwYM4IEHHsBkMvHnn9Le6k8//TRHH300t9xyC4MHD+a+++5jzJgxPPvssx35NbqUwmoH//eRCK7oNUpmDkzgicXbQ0TBP11TwG8727a5+3VHaVBwBcTn9ANfb6FfookNBdVBwRUArz/AwndWU1zjbP3m9ipYdHVwcAVE8OSd00Tw5cMLRHAFYPpN8OX1wcEVgKq98NmVlNqKQoIrANurtrNo56JGEa4N5Rv4Oe9nZmcK0dnlJSv5cNsHeL0uWmNP7Z7g4Mp+3t36LjudZax1lAUFV0Aokz+/7nkmpkzEoDbgD/i5e+ndFNmD/6ZOr5Pn1z7PpopNAJzU/yQ+3P5hUHAFwO61c+UPVwYtQqUosZdw9U9XU+2qBuDS4Zfyj6X/CFooAuTW5nLfn/dR55YFO3stfh9s/0Zkf7UDm6eealc18fqusWjeW6NGowwQq4/MOcunF4siSatmhRqLzkJJfXgb+c6kb3wUUVoVf+yUrXoPdsptLq5+Z3VQcEWpgGOHp3DDB2sx69UMSja3CK4I3li6F1CQ0mxX3OX1c9EbK4Lud9jhqoPvboeyLTD1evjmb8HBFRClCZ8vFPN2dKYIrmROgoqdwcEVoGLqtdy09K6Qea3CWcEjfz3ClSOuJM4Qz4sbXg7pysc7PibOEEeCIYEHlj9Akb2IAlsB1/18XVBwBcQc/vBfD1PjrOG3gt+Cgisg5utHVzxKdnQ2l4y4hBt+viFkzsyry+PeZfdK2sQC1LhquHvp3UHBFYBady0Lf1jYbWLchwo7y+pDgisAmbFGnl+yKyi4AmL8Fde4uPjNFUHBFYD8SrH+rap3d2WXux+PA355JNTW3OuEd84Qwc7mwRUQ469yD3z/91BXoE2fwq6fmtbWDfi9lNtLuGHJTSGCsOWOcm785SbKa/ODgysA2TNZVrgsKLgCYjw9tvKxsOKypfbSkOAKCHHqVze8SpUr1Dr5zU1vsqd2D25/8L+x0+fEj59rf7o2KLgCsLd2Lw8uf5CKMBpuMjK9iYgDLJ9++inXXXcdI0aMICkpiauuugqbzcbjjz/O6tWr275BGHw+H++//z719fVMniydPr9s2TKOOuqooGPz5s1j2bJlYe/rcrmora0N+uoOPltT0Pj9zAGJfLcp/GT+/C+7KLeFXyQWVNl57fe9Yds/WrkvbBDFH4Aft7SxkLCXi7prKWwlIpBSuVv8rNKA1iwmDSmq97K9ekdIcKWBH/N+ZGpakz3tN3u+4ajMpn/Td7d/TIU9/MNZpaOSd7a8E7b97c1vs7t+X9j2H3N/ZHra9MafF+1cFNRe4azgy91fNv48MWUiS/YtQQqbx8aemtCHgaD7OSoo3v+waVALLR2pyQrgj8I/qHRKu7P0VnpqfPYIBavAXgEZE9t3uk18hnS0brot9taoSYryooxwE9erF1krmjCLpO50ElIqFQxJtfDHTlnotrPp7LFZaXOHOD6Nzoxh+e5K/AGYNzSZRWsLwlwNn67ex/wRwSWkLq+fdfuqD6hfhzT15WJnHERWXEXoAzIApZtFqdD6D8TPw0+HNW+HnFYZ34+d1Tslb7G3di85MTl8teersN1ZtHMR8/rMA+CLnV9AQAQ6pPi94HcqXa3P5//b9T9MGhMVTunPmj+L/gw7n1Y5q1hRvEKyrcLZNC8fqnTm+Kx1unnjD+m1zMS+8UHr2QY0KgVGnSpsgHPF3ioq7b0swFJfBuvek27zOqFyF0RnBR/vfxRs/Dj8Pf96SVKPrTK2T9j15e6a3VTFZYcczxt6HO9sDT+ePt7+MS5P6L/XhvINIcGVBr7c9SWzMmZJtr275V0uGX5J0LF4fTwVzorGTcWWLCtcFrZNRqY3EXGA5corr6SwsJDLL7+cNWvWUFpa2hh0GTky1OmlLTZs2IDJZEKn03HllVfy2WefMWTIEMlzi4uLSUoK1spISkqiuDj8RPnQQw9htVobvzIyOiYaFSn5lfbG7y0GdasBlAqbG68vvNaw1x+gopWdgOJaZ6v6AwXVbQhYelppVyhE6nEDaj2EWTABoLNQ6gif1eENeGmuq+z0OYNqL+s8dfha0V12ep1UOMJHvyucFa3WclY6KzFrm8oaCm2FQf3x+Dx4/E27MT6/D38g/A5/uIVfA7XupkWPUW2kxt3K3w7CTnK9lZ4anz3C9m+FgF38gHadXlBXgEqh7DLbwtzayB2EAPwqLT6tAW29dFAj1hDbrQ8vQ1OtrM6rwu6OrNRJpnU6e2zaPaHvNbO+aW406zVU2MLPc+U2NxZDaDlm6eGcweJ1QcAv5mlvGw+zPndTdoveGrprDjhb7oi3wB/wt7oJ0Hx+LXWUBs2lLQkQwOf3tTqH1rnr2szqdIXJeG1rLm1rLj7Y6czx6XT7KQ8z9gKBAE5P6BpIp1ZR62j9/eKUGPOHND6PGEfhqC8XY6s5OgvUt5LpXF8Weg1tj0Wpdr9CQaUj/Pgsc5SFZJwArW6IuP1uFEjvwlQ4K4hSB5eBxRpiW12jBwjg8LVfVF9G5lAl4gBLaWkpH3/8Mddccw3Dhw8/4A4MHDiQtWvXsnz5cq666iouvPBCNm/efMD3beD222+npqam8Ss/P7/T7t0aRw1uCgRtK65jTGZ4wcfx2bGY9eF1PMw6NWOzosO2T8+Jx+MPHwSYntNGiYEhulFQK4RAQNjJNgQtGkTywmGvYEhcqH5OAwmGhKC0wUxzZlDa4sCYgRiU4V0hYg2xjE0aG7Z9bNJYVK3UVY9IGMGOqh2NP8/KmBVUh23UGIOciZw+Z6sPuANiWn9YTjY22eVVu6ol7aMbMGvMmDWhVt29mZ4anz3C9u8gdbQQtmsHBbZ9xOrjUCk6X1/CH4DcGjVJUR1bAHt1lrAZLLG6GMocZQSIrPSoowxLs+LxBVixV3onW6ZjdPbYjDVq0KiCP5t3ltoYlRENwPaSOkZnRoe9fkxmNNuKQx+2G64/LNGZwBgn5mmNvmmebolKI0Q2M/aXJ5ZslixVjFaoUSuk1yIqhQoCMDIh/EZa8/l1cupkdKrwc7lVZ0Wv1jMqYVTYc4bGD201g8+kMQVtmDTHrDVjVIc3X8gwHdrB/M4cn9EGDRP7Sq9zHB4/feJC/442l1fSRr0Bg0aF1dDLLJy1UaLMLhxJQ0WpfHNKt7SetZo+QZzTghiFOuzcr1aoiVaG/m2NbhejEkeFfamJKRMx60LHS2tjOs2UFjZLbGzi2CD9FYC9NXvpa+0b9n4WrSXsmJWR6U30uGyzVqulf//+jB07loceeoiRI0fy9NNPS56bnJxMSUlwpLWkpITk5FDP9wZ0Oh0WiyXoqzsYnx3bWC++fl8NQ1ItxJtCxWs1KgU3HpVDVCtuCLEmHdfNHoBaIpc/3qRlav/4oIBOc/rEGRmS0sbvbNpvySjFkJNBHwOjzms6tvcPGHyC9PmTrybFkMiYeOkP7EuGX8In2z8J+vmj7R81/nzrmBuJMYe3atOr9Zw+8HSiNKEBIYPawFkDz2Ja0kRJ4dlYfSxD44ayvnw9AEnGJMYljQs6J9GYyM3jbm78+bMdn7Fg6ALJvkxMmdimi0GsPpbj+x0PgC/gY1PFJqalTZM8d+GohV1WDnKw0lPjs9upKxZC0enj231Jga2AOEPXOAiV2lU4fUqSjB3L+vDqLWEzWGL0MXj83lZ30jqTVKue2CitXCbUyXT22Iw367hoanBa+74qBxaDhoxYA7/uKGPmgATMEnOhXqPk+JGpfLcpODNqRJqFjFjDAfXrkMacAkfdI77f/h2MPFv6vDEXitKGwceLh8Q1b8HkhSEBmbhNizin/8mStzih3wl8uftLpqdNx6QxhbQb1AaOyT6Gn/J/ItGYyMTkiWhUGianSJd8Xz78chKNiSwcuVAyqBOnj2Ni8kT+KvqLmekzJe9x1cirSDBIz5kJhgSuHHmlZNvcrLld9tnaXXTm+NRqVJw+NkNy7L25dA+3Hi0tWL6zrI4TRkqv1645sl+rAZhDEnMyzL1fui11NKh10FITqHA19DsKoiTepyoNzPwbrP8wpClu71LOGnim5EudNfBM4vb8HnI8cdHVXDHiirDjKdw4SjenMzTMxuhNY2/iy11fhhyP0kRx6oBTeWXDK0HH3X43bp+baanS69zLRlwmXJBkZHo5PR5gaYnf78flkk7tnDx5Mj/++GPQscWLF4fVbOlJUqMNvH/5JOYNTUapgPv/t5lnzh7NEQMTGl2Ph6Za+OiKyWTHt620nh1n5N3LJjI0VUyiCgXMHJDAW5dM5J4vNvHD5hKeO2cM/RLEvdRKBSeMTOXtSyeSbG1jAarWwujz4bgnmiYBrQmm3QTHPAyWZJh1K8y4RaQyLnsWhp0CU66Dhmh4VDwc+yiMuZA4cyr/mvEwZ/Y/pXEHKzkqmXsm30OpvZT15etJN6Xz4NQH2Fy+mZ3VO8myZPHCEf9mSDscU1KNqbw277WgTJZRCaN4fd5rpK77kMw17/HfOS8zJFaUmilQMC11Kv+a8S8eXfkoSoWSIzOO5LWjX5NUVJ+UMoknZj1BalQqK0tWUu+u565Jd5FkFEEsvUrPuYPO5cFpD7ZZvmHRWbhp7E1cMeIKojRRvLLhFU7POZ3zBp/XqMkSb4jnnsn3cFzf49pl+yxzCLLzB0AhFmHtIECAfNu+sA8PB0purXifHUgGi7ZeOoMlZv+Y6K4yIYVCwdBUC7/taFssXKbnMGrVXD6jL7cfM6hxZ9tiUFNW5+Stiydy3PAU/vXdNp45ZzSTmu2mj8mM4YPLJ6NUQJJFbFro1ErOHp/Bi+ePI8Hci+1g20KpgkHz4eQXRYAlczJMvUFYLoNwAjzyLph8jcg+/fE+OO114QS47n049VVIHCzOVSgxOmq5eNhF3DjmRixasdawaC1cPOxiRiaM5Nd9v+KxV/Dmkc8yodnmxMiEkTw641GeW/McU1On8vKcl8m0ZJIclcw/pvyDswee3TjfJRgSuGvSXczLnodWpSXLksXLc19m0H7XMQUKpqdN58U5L/LYyscoc5Rx+4TbuWjoRY33iNPHcffkuzm+3/GoVdJzpkal4aT+J3HXpLuI2291b1QbuXjYxdw24TbZwaQFWbFG3r9iUouxF83lM/oxKsPKs+eMbgxmalVKTh6dxtwhydw5fwjXHNGPKK3Itog3afnniUM5a0Jm73T3yp4FZ7zVlMmi1okA5pnvQNo4Mf4aMsJNiTD/KYjJggu/FHosDQ8AKSOFS6cpFU59BeJzxHGlCgafgHHUuVw24nKuH3N90Fi8fsz1XDriMoxjLhIuRA0ZsfEDYPbdpBmSQsbTtNRpvDL3FfpY+0j+SvGGeJ464ilOzTkVzf7MmDRTGk/OepJxSeO4bcJtQZlmY5PG8tq814jTxfHw9IcbAyZapZYzBpxBujmduybfxTmDzgla5/594t85us/RrWa2ycj0FhSBQCuCF13M7bffzjHHHENmZiZ1dXW8++67PPLII3z33XfMmTOHCy64gLS0NB566CFA2DTPnDmThx9+mOOOO47333+fBx98MCKb5traWqxWKzU1Nd2yW25zeaiq9+D1B7Do1Xj9AWocHvyBACadmlSrAWUEKpNF1Q7qXEKYMsaoRQHUOL2olQpiTRrsLj82l/g5zqTFqI3ggd3vB1uR0GRR6US0XtUsDdFZB7ZiUfet1oPBCvZKodGis4A5FXRNwSKXy0aFowyP34NBbcCqNVPuqMDr92BUGzFpTVQ6q/D6PUSpjcSrjaKG1e8BYzzlajXVrhp8AR9WnZVEVChtZaLm3JxEMT5s+/VhojRRpASUQkRUoQBDHFUKH3VuG0qFEqs+Gi9Kaj21qBQqonXRmLShu3DNKbWX4vA60Cg1xOnjqHZX4/A40Kq0WLVWqlxV2Dw2DGoDsbpYydTLBrw+L2WOMlw+F3q1nhhdDBXOCtw+Nwa1gURjomwZSfePz27jo4tEBstxT7Tr9CpXNTf9chOn5JxCTnT/zu/OVhPvbDZxz9RKOvK2iyrdRtzOn9h+3IMEWiyW/Ph5YtWTnDXwTGY3E7DuSn7bUcZzv+xi9V1ziJWwuZc5cDprbPp8fkrqXDg9PvQaFYlmHWqVknqXl8p6N/5AAKUCnB4//kAAo1ZNeowBhUJBSa0Tu9uHRqUg3qRDr+llD3CuOqHJ4LKJzQtTYvjy3eYEAiJLzlMPaiO4a8HtEBsiPhe460XQRa0TWSt+jzim0glLWK8DFKr9O/B1+PRWypTgDPjQqrSolWrsHjsGpZZEPyh8bmo0OmoRmmoqhQq3zw0KsGqtxBqCNx7sHjul9lLcfjc6lQ69Uk+Vuwqr1kqCMQG1Uk2RrYh6Tz0qhQqD2oDH70GpVBKnj0Ov1uPxeSh3lOPyuTCoDSQYE1AqlJTZy6jZv06I1kU3Hm/AH/BTai/F6XWiU+mIN8SjUfWy0hU6b3yW1jqpcXogABaDpjGo6fH62FftwOnxo1EpsBo1JJj2t/l8lNa5cXl8GLQqksz6iNa1hyS1RWK8qbRiY1KzfyOzpkDoFLrqQW8BQyyYEpq11UHAJzYxrRmgVILPC9W54LGLUj6dBayinNzn91HqKMXldaFT60g0JKJqCKq46/evmb2iXHB/+b7X76XIVoTT60SpVGJQGUg1hy9Pb8DldVHhrMCzf43ePKO6YXwqFIqQUvqWa2WdWqwJ7B47ZfYyXH4XBpWBNFMaSuVBt68vI9Ml9Oh2eWlpKRdccAFFRUVYrVZGjBjRGFwByMvLCxqMU6ZM4d133+XOO+/kjjvuICcnh88//7zdwZWewKTTYNJp8Pr8bC6q5Yb317K7XFgWxpu03H/ScKblxGNqpUSoOSnRBlrmXMSamh5worSQ0NG0TKUSLGnSbbVFsPgu2PgJaIxw2muw6k3Y/rVY3Kk0MGaByHIxiw95nc5Eqm5/EKNyN3x4Omn7/hI/a00w+WrS1DrY8BHMuQ9++AeUbMKXOpptc+/mtrVPNaqox+pj+fuIhUzZ8Rum1W+BOZnk4/8NfaYBCshbBl9cA7WF4v4xfYg56QVi0seKCXA/MYbwWjgtaVn+k6QWv1e5o5xn1z7LB9s+wOP3oEDBzPSZ/H3S38OmPqpV6pBsmVRT2xOeTC/A74fdP0P/ue2+pMFaNN7QNRbNubVqEqN8HQquAHgNTVbNbkvw+1qJkhhdTLcL3QIs3VUe4jQjc3ChUilJjQ7NqozSqdGoFKzLr+HGD9eyr0oIISZb9Dx6+gjG9YltfNjrldQWwnd/h82fi00EpVqU5h5xu9jsaA2FAiwp++fpu2HPEjjpeVh8J+zdX0qgMcCka2DYyfDumVCzX7PDmgHHPS4e/r6/AzwOVEByn+lw4n8aH/RaYt3/1R6MGiN9rH3YXb2bW5bcwpZKoTlh1pi5YewNzOszTzKbtDkalSboHK/fy8byjdz+2+3k1eUB4vPyH5P/wYTkCRg1QjdEqVDKJQkRkGjRk9hinFXWu/h41T6e/mEH9W6R9TgmK5onTh9Fn/goNCoVaRJjuldjkXi/Vu6Bb26Fnd/vXxfvzw6fep1w4/zkUmGPDiIoM/9Joc+y7RsxbhssnpNHiKyWhIGolKqgYEYQ2qiQAGyVo4plRcv414p/NQpIZ1uyuW/afQyKGdQY/JBCp9aFXZe2Nj7DlcobNUayrFmSbTIyvZ0ezWDpCXpqhzy3op6jn/oNh4Sq+mcLpzC6FRHcHsdRDZ8vhG377Rln3y1KHnKXhp47/jKY+08RhGmgphBemwM1EvbJc/4pUiU/WiAmICD/ws84bent2L32kNP/O/URRn9+vXBDUCjgsl9EcOeFaWJR2hyVFq5a2pR62Qm4vC7+vebf/Hfzf0PaRiaM5N9H/Dtk906m/fTKDJbCNfDSLJj3MCS3Lxj87d7v+GzHp1w/9gaUYRT8D4RrfognWufn9IG2tk+WQOWxk7biTQomLMCWHCp2/unOT9EotUF6Rl3NLR+vY1r/eB4+dUS3vebhRHeMzV2lNo5++lc8LVz1lAr4+rrpDGpLT+xQxV4Jn162v5SwBaPOg2MeETvUreGohkULhW3zCc/CH081Pcw1Z8YtwjJ+109Nx5RqOOcDeP8ckaHaQHwOXPi/tgM87aDIVsRZX50l6UL05KwnOSorsmy3vNo8Tv3iVJw+Z9BxBQreP+59hsRLu1H2VrpqfAYCAT5cmc+tn2wIaUu16vlk4RRS2ipDPxyo3AufXgL7Voa2jb8cRp4FrxwZfDw+B464Cz66IPQaYxxcvgSiIxNjXlm8kou+uyjkuEFt4IP5H5BtDbV3lpGR6Xzalat1yimntPtLJpRAIMCX6wolgysAj3+/nVpHeDvDHqe+rCm4olAIpXSp4ArA6jegroUlXdkW6eAKwK4foWx7Y3CFzEksrlgnGVwBeGbHh9SOPlf8EAjAkn9B3vLQ4AoIO70VrwprvU6i3FHO+1vfl2xbV7aOMoesAyHTgt2/gNoACQPbfcm+unziDfFdElzxByC/Vt1hgVsAn9qAX6VFawtj1ayPpaQbM1gAhqVa+XVHGYfZnkGvwePz8d8/94YEV0C8Z59fsguHp5dacdvLpYMrAOvfa93mtYH6chFc0VlEtopUcAVgxSviYa85fq8Q2hw0P/h4+Y5QV5QOsr5sfViL56dWPxXkJtgWPr+PL3Z9ERJcAaFf9dza5xrLh2UOjJJaF49/v12yrbDGyfaS1m20DxscldLBFYA1b0oHSMdcCD+HEc21V0D+nxF1ocxexnPrnpPuntfB17u/xt+K46iMjEzn0a4Ai9VqbfeXTChur5+VueEtRLcU1WJ3d0xsslto7gaiNYOtlSCCzyPqT5tTuDb8+VozFDRNSp7YbNbU7g57+rbqHTjimlnAFa8Pb00JULgK3NLBmo5g89hw+93hX85W2GmvJdNL2PWzyFyJoO4/37aPuC4qDyq1q3D5lB0WuAVAocBrsKIJ4yQUq4ul0lmJ2yctWN4VDE+zUljtJLei88a7TPdhd/tZl18Ttn1jQQ31roN4njwQWptT/T5whv+7NNKwSWFJgcpdrZ+nlii1Kt0MMRK72xIWsh1hbdnasG25tblCw6WduH1u1paGv9/Wqq1hN2lkIsPl9VFaF/5zfOO+2rBthxVVe8K3eV1Ce6Ul0ZlQLh28AiAvsgCL0+tkZ1WYwCqwqWKTZFBSRkam82mX8Mfrr7/e1f3o1WhUSnISzfyyTXoRlRZjQKc+iIWfdM3STT31YGylnEmhEPoqzYlvRaTTXR/krKKuK6Vf8jh+CXN6mikNbV0zq+7oLCEYFo7YfqDpvLp9o9qIUqHEL5UxA8Qbu+ahWOYQxeMUu1DNbc7bwBfwU2QrpH9a54vbQjMHIeOBPawKJyHpz7Q4QxwBoMReQoY584Bep70MTrGgUir4fWc5fdrhzCZzcKHXKOkTZ2RtfrVke2asEYPmIJ4nDwRDdOvt2vAC6o007JDXl4fXUgOR3SI1f0VnSmfKxPRp+7XbQb/ofmHbEgwJETnoaVQasq3ZLC9eLtmeZkpDr+rFej3diEalxKJXU+uUzh7rmyB/1gLC5CEcCqW0WLW9QozV2gLp6xIGR9QFrUpLqimVKpf0hm6mJVN28JGR6SZ66Wrl4EKpVHDm+AzCiarfcNQAYg5m54uoBEgdI773+4RbQfwA6XMHHNtk9dxA6mjhZiBF8nDImtwoRKvY8wsnJk9BpZB2h7iq/6nErHm36cCsv0FKK5oLkxYKZ4ROItYQy5zMOZJtGeYMko2ymJ5MM/b9JXavUka2+5IyeykevzdIwb8zyatVo1P5seoOLFXYo7eiDZfBst+quagby4QMWhU5iSbZrvkQRadWcdn0vmHbrz6iP1G63uf+AkBUopgLpeg3G6LaEbhvmKftFUIDLdw1I86CzV+EHh95NmxeFHrPTtIwm5QyKWzQ4/IRl0dkSa9Wqjlz4JlBbkHNuWrkVVh0vVSvp5tJNOu4ZJq0bodZp2Z4upy5DggHn9gwn1+D5ksHNde+A1Ovl75GrYf+syPqQlJUEpcMu0SyTaVQcUr/U5ociGRkZLqUDgVYPv74Y8444wwmTZrEmDFjgr5kpEmLMfDS+eOI0jZ9uKmVCm6eO4DRmdE917H2EBUPp78htFcAfn1UiO61XHhlToFjHxXWdM2xpMMFXwjLyeYMOUnc85dH4OQXhI2k30fqshf598S7iNI0RfxVChVXDz6f0RX7hCORSgPzHoSkERCXA8c8GuQWhMYAp7wSfsLrIFGaKG4efzMTkycG/+rmTJ6b/VyXPRTLHKLs+VVkgEWwC7zPJvSKErqoRCivVkOSseMOQg34DFbUjhoUEqn9BrWBKI2R4vqiA3uRCBmWZmXpzgq8PrnO/FAkKz6KJ88chb5ZpopWpeS+E4cyIKkdWRyHKqYEOOMtSGyxY50+Hk74d9sZLtBsnh4GvzwoXIRaZrIMOg7GXQTbv206ptYJN5Pq/OBSJEuamLet6R39rYJIjkrmpbkvYdU1PZArUHDmwDOZkzUHRYQfSGnmNB6f+TgGdZPAqlqp5v/G/h+D4yLb+ZcJj1ql5OyJmZwyOvi9lGDS8e7lk0iVBW4FcX3hrHdD15xZ04SZg600OLtbqYYBx4jgy4QrCJqQDTFw/ufC4StCRiSO4PIRl6NWNGWEGdVGHp35KKlRssOejEx3EbGL0L///W/+/ve/s2DBAl566SUuuugidu3axYoVK7j66qt54IEHuqqvnUJPupS4vT7K6lzsq3bg8frJjI0i3qTF2E6L5h6nvoJKVxUenxut2kCMygjOKqG7otFDVCIVePH4PRjUhqCFFIEA1BUKG0lntSjt0ZrAXSfatGZ8Cqhw1xIIBIjSWXCo1FS5aggQwKwxY1ZqqPaIOtYYlRGTxggNQnZas9CKqdor0jGjs4RddPPsFXc9OGrERBaVCKqOR/KrnFVUOCsori8mVh9LkjEJlUKFy+dCo9S0y0mowlGB1+9Fr9YH/60OY3qdi9Crc8VCatbt7b7ks52f81Pej1w96uou6dJ1P8Rj1vo5Y9CBiUDq6opI2vA5e2bdHGLVDPDu1ndJNaVyxYgrD+h1ImF7SR3/+GITny6cwpiD2ZntEKS7xqbLIzQfCqoc+AIBMmONxJt1GDSHwc6rrVRkiNpKwJIqNiVaZoQ2x2UTmmdKjfjyOCDgFVlztlIRdHFUCxHd6D4QFSc2MmzFwlIWRADFWQVai9i48NhBa6ZKpcKNH61KR0CtxeMT83pDZojdY6fcUY4CBbH6WKKkSiBa4PP7qHXXUu2sJkAAvUqPRWfB1LKsOAwt50y3z025o5xCWyEev4cMcwZxhrigoEu4e+hUOqL10e163UOBrh6fNQ4PFTYX+VUOLHo1yVY9yRZ9xIGxXoOzRow/pVqM04a/Q3W+0Fvxe4S4vcYgnIC8bpFd5qgUa169FYyxonTIVUe9o5I6Tz0qhZI4XTTKqAToYLZJtasam9tGnbsOpUKJRWMhVh+LTiPWwzXOGpw+J2qlmjhDXON1fr+fwvpC/AE/Ueoo4oxNbW6fmyqnKD2K0cegbbahWeuuxe6xo1ao210m7/V5G22krToreildKBmZQ5iIn+yfe+45XnrpJc4++2zeeOMN/va3v9G3b1/uvvtuKiulFeJlBFq1irQYI2kxxrZPPsiocdawpnIDz655lry6PLIt2Vw7/DJGFG7C8su/qDzx3yzVKnhp4xsU24sZEjuE68dez4DoAWLhpVCIHbGGHbXqPJEeuep18HkpOeN1FlWu54MdH6FSqHh4+sP8UfAHn+z4BJfPxayMWZw96GyeWvUU26q2MSt9FpcOu4isxfeh3LMEhp8Gk6+FvjNDO+/3iayXXx6BHd+JCW/cxTDmArGI7QAx+hhi9DH0j+5PrauWzRWbeXrN0+yq3kWGOYOFoxYyNnGs5AKu0lnJn4V/8sL6FyiuL2Zw7GCuH3M9A2IHYNK0b6EpcwjgroeC1eK9FgEFtn3Ed1H2SiAgSoSOzHIc8L28+9/b2voyyQBLrD6WQlv3ZrD0SzARpVXx+45yOcByiKLTqMiINZIRe+jNkweMKTE001MKn1e4BP38oNBeGXQcLHsOitYIS+Vp/wc5c0VmTEuqcmHZf2Dr/8TPOXNhzAIxJy99htopC1mnVfPshlfYU7uHLEsW5w4+l0JbIStLVnLLuFswaoy8tfktvtv7Hf6AnzlZc1gwdAF9rH1a7XaJvYQvd33JR9s/os5dx4TkCSwctZA+lj4YNOGDIpXOSpYXLueF9S9QVF/EoJhB3DD2BgbEDCDVlEqqqe15vMpZxYriFTy/7nkKbAXkROdww9gbGBw7uN0BnsMZq0GD1aChb8Jh/rfyOIQw7Q/3Cn21qASYch0Mni+CKHt+haVPC+fMpKEw6w4RhAn4YeVrsPpNEQAdNB9m3IzXlEqurYBn1z3H0qLlmLVmzsk5lfn9TiDR3IqWUhj8AT81rhpeWv8SP+X9hE6l45ScUzhj4BmYAia2Vm7l6dVPs61qGylRKVw58kompkzE6XXyQ+4PvLf1PSqcFYxKGMU1o6+hn6Uf1e5q3tj8Bt/s+QaA+X3nc8GQC4jRxbC7ZjdPr36atWVriTPEccmwSzgi44igwE1LiuuLeX/r+3y28zM8Pg9HZR3FpcMvJcOccfgG7GR6HRFnsBiNRrZs2UJWVhaJiYksXryYkSNHsmPHDiZNmkRFRUVX9bVT6HU75N2Ay+viva3v8fiqx0Pa7hx5DUd7NTzn2M27uxeFtD9z5DPMTJ8Z/KFZnQefXgF5wuq57OTnuD7vCzZUbgbg4ekP8/KGl9lVHeyEYNKYeHzW41z747W4/W6sOitvz32NPv+ZKiyZzclwyWIh1tec8h3w0qymbJcGkkfAOR8K14UO4vV7+XLXl9y99O6QtmtHX8v5Q84P2k2zuW08t/Y53tryVsj5T816iiMzjzysJ5heNT53/QxvnQQnPBtRidDffr2VPpYsjsw8stO7VGZXcv5XySwYVsPguAO0Lw8ESF/xOhU5s6nMCa0V/6t4Bb8X/M4Lc55H0Y1yX08s3gbAR1dO6bbXPBzoVWPzUKd0M7x0BMT1g8nXwKKFInranLEL4Kh7g8uLqvPh1TlQ1yzwGT8AZt0Gn1yCe+ZtfBqfzAMSc/2VI65kR/UOTux/Ig8uf5DiFvpKcfo43jzmTbIsWZJdLrQVcvtvt7O6dHXQca1Sy3+P+S9D44dKXmdz23hh3Qu8ufnNkLYnZj7B7KzZYbVYGrB77Ly64VVe2vBSSNsj0x9hXp95h7w2hTw+u4m8P+GNY8XGXXOOfUxkhf35n9BrTn1VWKhv+jT4eHQWO857n7O+OT/EnXJM/Egen/EI8REGWfJq8zjrf2dR5wl2LTqmzzEcmXkkt/x6S8g1C4YuINmYzMMrHg46rlKo+OSET7j0+0tDbNTHJo7lqpFXcfkPl4eYPhybfSy3T7hdcoOxuL6YS7+/lNza3KDjFq2F9+e/T4Y58rIoGZmDkYhXvcnJyY2ZKpmZmfz5p7AR27NnDxHGamQOEcod5Tyz5hnJtic2vUZl9hTJ4ArA/X/eT5m9hehk1Z7G4ArmZHbodI3BlQxzBnXuupDgCgiL5C92fsG8PvMAqHHV8N72j3HMuk2cUFcM6z8Mnvhc9SJzpWVwBYTFc9G6Vn7ztimzl/Hoikcl255f9zwVjuCAY4Wzgre3vC15/gPLH6DULuHiIHNokvuH0F9pGfBrBafPRbmjnPgu0vLJrRUioQdk0dyAQoFXH402jMVsnCEOj98TMga6muFp0azJq6bOeYABJBmZgxFnLSz+B3idMP4y+OXh0OAKwKo3RJlQA34fbPw4OLgCMP5SkQkTCFA29ASeWPec5Mu+vul1zht8HpvLN4cEV0DMbYt2LAprt5xXlxcSXAFw+908uepJyu3SgtkVzgr+u/m/km0PLH8gdH0hdQ9HBa9ufFWy7aG/HqLMIQtjy7SD+jL46qbQ4ApATBYsf176uu9uh5xQc4S6oSfy+OqnQoIrAKvL17G3dm9E3XN6nby28bWQ4ArA9PTpPPzXwxJXwX83/5dMS+g6ZVzSOL7Y9UVIcAVgdtZsHvjrAUlHza/3fB12TK0oXhESXAFRZvTO5ncismuXkTmYiTjAcuSRR/LFF0KB/qKLLuLGG29kzpw5nHnmmZx88smd3kGZnqfcWS45AQDYvXYq3DWSbSBSgmvdtcEHtzYT2Esdw7fNFl0jE0ayrGhZ2PstLVzKqMRRjT//WvAblVmTmk7Y9JmoOW/AWQM7mr1eSzZ8KL04bSdVrirJyQxEdkuJvSTo2O7q3QSQfr0yR1no30rm0GXv7yJFuI3d1eYU2AoIECAxAkeNSMirVaNVBog+QAehBjwGK1qbdFAwfn+KcFE3lwmNSLfi9QdYtuvgzqaUkekQrlrY+YP43hgL1aEPK40UrW363lkt5seWmJNFuRFQ5bXh8EqXD7p8LtRKdavz88/7fg4bUP057+ew1y0vXk69t16ybW/N3rBzZoWzol1z5j7bPnwB6aBytauaald1m/eQkcFZCyWbQo8bYqC2UNopCEIFbvdTnzmBpUV/hn25xXk/RtS9GlcNv+T/ItmmU+kaNU9a4g/4KbGXYNEGZz6NShzFHwV/SF6TZExiT82esH1ZU7om5JjT6+Sr3V+FvebH/B/lsSjTa4hYg+Wll17C7xcfIldffTVxcXEsXbqUE044gSuuuKLTOyjT82iUrVtjttWuVrZ4m+maieH5XJhUTUK0bp8bgyp8LbZBbQiKcBvUBpT+ZjvVWmOwMJhCISwrXdJBEHRWDsROJeR3a4FWGWy/3ZaQV1v3kzlE8DihYBWMuTCiy/bV5aNEQVyXOQipSTR6w1rGR4rXEI2peKNkm1lrRqPUUFhfxPCEVqzUO5kki54ki47fd5Yzd6hsmy7Ty1AoxZzmtrUdvG3pWiKlc9LsHuo25nKVQhXWahnEfKxSSJfaNHcFbIlOpUOB9IdSW3Nme0p7dM3WGFLI865Mu1CqxXhpGUjxeYStcqvXho5VhdeNXq0PG9Q0qyPTu1EpVGEFntsaJ3qVHo8/OOvT7XOHHX9KhRIFirDBT6nxrlQoMWrCa2u19vkhI3OoEXEGi1KpRK1umozOOuss/v3vf3Pttdei1WpbuVLmUCVOH0ecXlqwKjUqlRilLuyia0T8CKJ10cEHh5zY9H3uUk5Imdz447LCZczKmBW2L8dkH8OPzaL6p+acTMqqd5pOmLQwuOY8KhHGXhT2fow5P3xbO4jRxYStGY3WRYfYNmdZssJOgENih4T+rWQOTQpWCV2gpGERXZZft49YfSyaLlrw59ZqSDB2QnnQfjyGaFRuOyp36O6zEiXxhjgKbQWd9nrtZXhaNEu2yWn/Mr0QY5wQaAdR4po5Sfo8lVZk0DWgt4r5sSX7VkK2EIeP9YudaSkSDAkU1RdxdPbRYbt2xoAzSIySFumdmzU37HXz+84Pu8bIMGeEnTMHxQ5q15yZEpWCWSNt890vuh8xOlkQW6YdGGOFtXJL3DYR9Awnlpw8HCpCy95jNn/JSX3nh325ea2MNSliDbGcOfBMyba82jwGxAyQbDOqjehUupBAz8/5P3NivxMlr1lTuoYpqdI6ZyqFihESmypalZazB50dtv/nDDqHWH3bDpwyMocCHVIerKqq4rHHHuOSSy7hkksu4fHHH5cdhHoxCcYEnpj1REg2hkFt4NExN5H8x3/419i/hQjNWXVW/jn1n6FCV6ZEOOIO8b3HQcruP7hswFkA1Hnq2Fu7V/JDfUjsEIbFD2NlyUoAxiSOYVbiWFHmA9B/LmS2+MBXqWDshZA0PPQXm3xtROKjUiQYE3h0xqMhC0CNUsPjMx8noUWpR4IhgX/N+FdIlN6itXD/tPuJ0csLvV5B7lJhvxjh+2tfXX6X6a80OAgldmKAxbs/mKm1lUi2xxpiKeiBAMuIdCu5lXbyKuzd/toyMl2KWgeTr4b4HOHCN+MWEXRpjkIBp7wEphbBkoxJMKDFQ9vqN2HmrWBKJPHnh3l82oMhGyY6lY7bJtzGi+tfRIGC2ZmhotaTkicxPnl82G7HG+K5auRVIcczzZlcPOzisDbPCYYEHp/5uOSc+cC0B9r1QJZgTODxWY+jVgQHrk0aEw9Pf7hVxxMZmUZ0Zph3P5gljBGUKjHmWmaK6K1C6L556fp+tDWFXDRkgaQw9NXDLiMpwlJhpULJsdnHMiI+NLhR66rlgWkPhAQa1Qo1/5rxL8lMFIfXwcSUiUxPmx7SVuGo4NYJt4Y4HipQ8M+p/yReL52F2y+6Hyf3D5WTGJMw5rA3eZDpXUTsIvTrr79ywgknYLFYGDduHACrVq2iurqaL7/8khkzZnRJRzsLWWkd8Psl0xVbw+vzUlhfyOLcxWyq2MTI+BEcmTadlB0/o977K85hp1CUPIR1FZupddeSEpXCkPghpEalhn5g+v3gqBS142veAXsFNZOvokBn4NPdX1LjrOHCoRfiDXhZtHMR9d56js0+lnRTOu9ueReb18Zx2cfR35JF2u//FkK2o8+DhIHhLS5ri4So7br3QR8tMldi+ogdiQPE5/dRVF/Ez3k/s6ZsDYNiB3F0n6NJiUpBowpNuXZ5XRTVF/HV7q/YVbOLickTmZY+TfpvdZjRa8bnf08WWglH3dPuSwIEuObHaxmXPJbJzbK6OosKh5Jz/5fMBUNrGRrfOUJyCr+XjD9foXjU6dRkTgxpX1b0J38V/8Vzs/8DYUoAugK728vlb63i3hOGct4kaVcTmcjoNWOzN+D3g6MKClbCrp9g6ClQugl2LxHOQiPOBEuasHBuia1UOOut3i8cO+J0CCDOLduK1+ejqP8Mfsz7kfXV2xkcO4hpadPYU70XnVrH4LjBKFBQYCtga+VWCEBOTA7plnTSTMLxxB/wSzr7lNnLKK4v5vNdn1PtrOaIjCMYmTCSDEvrziFOr5Pi+mK+3vM1O6t3MiF5AtPTppNqav+c6fa5KbQV8u3eb9letZ1xSeOYkT6DVFNqmy5EhwLy+DxAIlkXV+8T68nKPWLcZEwAa4YoFaorEmLSFTvF8Zx5ENNXaCBV7YFVb4LHDiPPEpkt5mRKavLYUL6Bb/N/JkZr4ZT+J5IWlYKleTZYBP0rs5exrWobX+76EoPKwCkDTiHDnEG0LppCWyGbKjZRXF+MVWdlZMJIUkwp2N12iu3FLNq5iDJHGVNSpzA+eTyZlkwqHBXsrtnNZzs+Q4GCU3JOoY+1D3GGOApthawoXsGv+34lzZTGCf1PIDUqtdVSoCpnFXm1eXyy4xNcPhcn9juRnJickIxvGZlDmYgDLMOHD2fy5Mk8//zzqFQiUuvz+Vi4cCFLly5lw4YNXdLRzuKwnoSq82Hvb7D9W4jOglHniElBahHWEq8HavJh3wr89eUoTQmQPh6smaCAOmcNxc5y/rf7K/Jt+YxNHMu0tClkRGWgVKvBWSeuX/M21O6DQcdB1lSwpgtF9mZRf3/AT527jvy6fDaWb8Tj99A/uj+pUakU2Arw+DxYdVbSzGkkNETP2xuY6EBwKRLCLSw76/zeTq8Ynz4vPJIJw06F4We0+7IKRwU3/3oLp+acQv/o/p3erdUlWu74NZ5bxlcSb+wckVuA1DXvUps2mrIhx4e07azeySc7PuWxmY91e+rvP/+3iYwYIy9dMK5bX7e30ivG5qFOdR6UbRVueQoVjDpb2CwrNZD/F/icIltzy/+gaI2YowcfL+Z5VYuyw4aln0IRPC82+97pcVLhquDjbR+TW5fL1NSpTE6djCIQILcujy92fYkfP/Ozj6OvNRuFQsWKkhX8kv8LaaY0Tux/IinGFMnsFJ/f1yFr5M6YM3vjvCuPzw7gsol16dp3xYbfgKOhz3SIbsMquDpfuARu+1qMrVHnCrdApVrcL3+FCIBaUyF1jGizV0JVLhSuEoGYpKFiU9DcpBPm9/tQNh8TPi/U5MHmL0UwNW0cDDlerLtbjudmlNnL2F2zm+1V21Er1QyLH0a6KR2LxkKeLY/f9v3G2rK1ZFmyODb7WBIMCUGZ5uHGZsPjolRQs6NjKhAIHPYbizK9k4gL/Xfu3MnHH3/cGFwBUKlU3HTTTfz3v9JWejIHARW74PVjoHkq/9J/w0kvCE0UbfhoM36/+HB/60TwuprqyjRGuPAL6uNyWFqygr/99rdGy7bFuYuxrrfy6txXGBiVCRs+gq9ubLrn5kVih23B1xDbJ+jlalw1PLfuOd7f+n7Q8SGxQ7hsxGXc+Iu4z7ikcTwy4xESjWGyVqTowuAKEPEE09sWeTJAyUZw10Pi0LbPbUa+bR8AiWE0EA6UvFoNamWAGEPnBVcAPPpotHXSJUINYr2FtoJuD7CMSIvmf+sLcXv9aNXyOJM5xKnKgy+ugT1Lmo6tf18EUPofBX+9LMqFXpwGXpdo3/IF/PIgXPAlZLQo32n+UNN8XmwIrnid/FrwKzcvubmxfGBx7mLumXwPvxX8FqSF9tXur5iSOoUT+p3A33//e+PxNza9wT+n/JN5feaF7Gh3JLgCnTNnyvOuDG47bPkSPr+y6djmRaKs7qJvRCaYFJV7xFq6ud35smfhrPfERuH7ZwfbOOutsOAr2PAJ/PFk8L3SxsGZb4ElFSA4uBIIiGDMmycIS3ZoNp6/ENkxEoGJ0vpSbvjlBjaUB292XzrsUub0mcOl310a5Hz5xsY3eGzWY0xOmoxRJ8ZouLHZWiCko2NKDq7I9FYiHhFjxoxhy5YtIce3bNnCyJEjO6VTMp2Mswa++VtwcKWBL66WPt4cWxF8dEHToq0Bjx0+uogydxV3/nFnY3ClgRpXDfcu+yclznL4+qbQ+9YWwI/3iIfRZuTV5oUEVwA2V25mY/lGxiWJHemVJSv5Nf/X1vsuI9Pd5C0TApPx0oJy4civy8eg1mPWSosxHnC3atUkGH2oOnk94zFEo6srlmyz6ixolBoKbIWd+6LtYES6lXq3j1W5Vd3+2jIync6eJcHBlQa2fAkoYPpN8M0tEvO0Az5eIMpkI6DcUc5tv90WpM2QGpVKgEBQcKWBpYVLqXRWkm3NDjp+z7J7wtrDysj0GLYSsf6VOv7trcKSuSWuOvju78HBlQb8Xvj44uDgCoj19+dXgVFCX69gpbBO90tsetQVwYcXNgVXGvA6xXiW6IM/4OfrPV+HBFcALDoLd/1xV1BwBcAb8HLHb3dQ6iwN7YOMjEyHiTjAct1113H99dfz2GOP8fvvv/P777/z2GOPceONN3LjjTeyfv36xi+ZgwR7JewKXRABYjLYt6L1621lom5bCqWa3dW7cfqcks0byjdQ461vSkduyZYvwN60+PL5fXyw/YOwXflmzzdBAnvvbn2XSocssCxzEJG3TAhQSujvtEZ+bR4JhoQuUyrJrVWTZPR2+n29xhg09mqR9twCJUoSDPHsq9vX6a/bFn3io7AaNCzZLrsJyRzi1BbCqtfCt2/6DAyx4efpmn1gL4/oJbdVbQuxbZ2VMYtv93wb9ppv9nzDkRlHBh3zB/ysLlkd0WvLyHQ5+/4KDYY0sPMHsW5uib0Stn8TelxrEhuObpv0/Yo3hM+I+etlqJeYo+rLpAM5ID4P6kPHc6Wjkg+2Sa+fMy2ZbK/aLtlm99rZZ+v+OVpGpjcTcYnQ2WcLi62//e1vkm0KhaKxps7n6zy3CpkDwO8LH+AAUYfaGhIPTo1oo7B7W3fq8Ppbeajz+4ImuQAB6j2hlq8NOLwOtCpt0M8tM2dkZHqMQAByl0F25GLfeXV5pIex/D5QAgHIrdEwOc3R9skR4jbEAAG0tlLc1rSQ9jhDPAU9sHhTKhSMSLPy87ZSbjtmULe/voxMp+H3ikyUcHjqwz8sNtDaPC6BQ+L1NCpN2M0UCJ2fG2htTpeR6RFcrbwnAwEx5lri94HUelOlCc00Cbk2zDrVUy99T18bmyES/fMFfCFWy41tbXw+hLtORkamY0ScwbJnz55Wv3bv3t34f5mDBL259XIFCfePIEyJwhpSiqo8BsaGf3hJMiZh1rQiops6GvRNgmxqpZr5feeHPX1K6hTWlq5t/Hl25mysOmv4+8vIdCdVe6C+VAjYRYDT56LUXkaiIQI9oQiodimxeZQkd6JFcwNeg0h91oUpNUwwJFBgK8Qf6P6A+8iMaLYV11Fc08biV0bmYCYqCXKODt/e70ihnaLWS7droyBK2jY1HEPihoQcW1u6tlWHsympU1hXti7keENZr4zMQUNr696EgUHr0kb0Zum53VEldFTC6ZCYEkUgRYpB88EgUT5kSgCNQfoajVFyPFt1VmZlzJK8xOVzEaeXtiNXKpT0tfaVfi0ZGZkOEXGAJSsrq91fMgcJpiSY/6T0h//w08Gc0sb1iXDEndJtc+4hRmPitJzTJJv/Nv5vpGljYcCxoY1KFRzzKBiDP/RHxI+QdFExaUyc0P8Evtv7HQDRumjOGnSWpBWyjEyPkPen+H9CZBkT+2z7CBAgsYtsCnNrRbJiUlTnBzn8ah0+rQldbZgAizEBj99DmaP7S3VGpFtRKuCXbXJ9ucwhjEYHY84Xc3FLrBmQMhJWvg5Tr5O+/qh/gilZui0M8YZ4Ts05NejYurJ1DIkfQnJU6L3i9HFMTpnMssJlQcfn9Zkn26/KHHyYU2CYxLpVoYTjnpAea1EJok1KBLYqFyZfI/1aRz8COxaHHtdbYcq1oJEIjEYlwex7pO83+x9iXd/ydmo9Fw+7GLMmVMft932/c+v4WyVvd86gc7BoZOcpGZnOpEOyz2+99RZTp04lNTWV3NxcAJ566ikWLVrUqZ2T6UTSxsJlP0HfI0S9aEw2HP80zHsQjG24e2gMMPo8OPt9SB4udsNSRsF5n8KwU4k3pXDF8Eu5d/I9ZFuyMagNjEkcw6tzX2V83AiURiuc8JQIpkRnidfPmQOX/yLu14KkqCSeP+p5rhhxBXH6OEwaE/P7zufFOS/y8vqX0al0nJpzKu8e+y5pptCSBBmZHiPvT4juA7rIhGrza/NRKZTEG7oowFKjQa0IEGvomiwStzEmrNBtglHstPWEDotZryEn0czPcoBF5lAnrh8s+AbGXCh2vI2xMOEyuPBL4cjnqBTWzSc9HzxPn/sJDD8V1KGlO61h0Vm4bvR13Df1PrIsWRjUBsYnjyfZmMyrc1/hrIFnEa2LxqK1cGrOqbxx9BskRSUxOXUyBrWBdFM6d026i9sm3EaMXmKHXkamJzHGwtEPiXVwXI4IuPQ9UqyT08aGvy5lJFz2M/SfC3H9xWbKcU/AkBNg6vVw6qsiA0YbBRkThSNR/zkw5z7h8mVNF6818lxxn+g+0q+j0cHIM+Gcj8RraqPE/8/5SBwPk1Webk7nvfnvcWK/EzFpTMTp47hixBXcOO5GxiaN5aU5LzEyYSQGtYG+1r7cP/V+zh9yPglRchBURqYzUQQCrYlzhPL8889z9913c8MNN/DAAw+wceNG+vbtyxtvvMGbb77Jzz//3FV97RRqa2uxWq3U1NRgsRyGEVtHjUhVVKjA3IYdbH0Z1JUIoS1TkljEERAuBWq9qButLRDnRfcBQzQF3jp8gQB6pYZEjQWM0U33CwSECF/Ah09josxvp7i+mHpPPenmdBFM0TaVE3n9XiqdlQQCASw6C2qFmipXFYFAgGhdNLpwZUuHAGX2MsocZVQ6K0mOSiZOHycvQukF4/PZ8RDbN/xOVhje3PxfNlds5qKhC7qkW/9eZWVNiY4bxlV3yf1j9vyBrraAPbPvkGz/z9rnODLzSE7qf1KXvH5rfL6mgC/XF7Lm7jno1B2zhpXpBWPzYMVeKebFmnyR9m9KBksrWaWuOjHnKlRCV6U6Vzx8mZNBpd8vrt1sno6KE3oOdUVC7NZjh9hssRvfzkBwuaMcr9+LUW3EohP/9g53PeWOciBAnD4eo07M3bWuWhxeByqFinhjcBmDz++jzFFGUX0Rdo+ddHM6sfrYLnNOaw8en8iuK7QV4vF7GtciLW2lD3bk8dlBagvFuHBUiQ1Ac5J0yU5z6orFuK3cLcSlLcliDdxgd24rFWNTY2jcwPT4PJTZSym07cPt85BhySTOEN++91l9hdB4UevaXern8DqoddWiQEGsIRa1sklys8hWhMvnQq1Uk25Ob9f9OkKZvYxSeylVrip5nStz2BGxyO0zzzzDyy+/zEknncTDDz/ceHzcuHHcfPPNndo5mS7AYBVfbVGdDx9dCAWrmo4lDoGz34OYPlCxC947E8p3QHQmzH8K3j2NtKq9Tef3OxJO/I+oTQVQKMCchNfvZVP5Jq756RqqXdWiCQWnDzidhaMWEmcQJUNqpZpEY3CaZsufD0X21uxl4Y8Lya/Lbzw2KXkS90+7n6SoNoJeMgcv9koo3w6Djo/40tza3C5No8+tVZPYBforDXiiYjEXbUDhcxOQELmMN8STX5fXZa/fGqMzo/lgZT4r9lQxLScyHQoZmS6lthAWXQ27fmo6FtMHzv0ovG6aziwetn57HJa/0CRgb4iBM9+B9AmgblY263VD3lL48AJhGQuiDGLytaKkqB0PbPGG0HMM2igytFEhxy06S2MQpjlev5cN5Ru49qdrqXGJfihQcMbAM7hq5FWN83534vQ6+bPoT2799dZGsX61Qs1Vo67ijIFnEK2L7vY+yXQTgQCUbIZ3Tg126xl8Ihz7LxGwlKI6D767E7Y0y9g3J8NZ70LKaBFkaVFedMDvs6jIx4ZBbcCgltZwSTG1IQvQCeyp2cPCHxcGZa5OTp3MfVPuk9e5MocFHRK5HT16dMhxnU5Hfb2sFN8rsFfBooXBwRWA0s1ikVadB++dJYIrALNuhy+vh+bBFRCLxh/vA3fw+6KkvoTLFl/WGFwB4R704fYP+W7vd73aFajUXsqVP1wZFFwB+LP4T55c9aTstnAok79c/D9xcESX+QJ+Cur2kdRFArcNDkKJUZ1v0dyA2xAHBNDWSeuwJBkTyavtmQBLZqyROJOWH7ZI901Gpkdw1cMP9wYHV0DMo2+dIoIv4dj6Nfz5fLA7oKMK3j5ZZJU2p2YfvHNaU3AFRPbp0qdDX7sLKa4v5vLvL28MroCY9z/Y9gGLcxcTYTJ1p1BoK+T6n68PckL0Brw8s+YZ1pet7/b+yHQjtQXw3+NDrZC3LIJlz4oMsJZ4HLD8xeDgCoiMlrdPFSL3EhTaCrnh5xsOm/dZqb2UKxdfGVIWvKxwGU+vflrSoUxGprcRcYAlOzubtWvXhhz/9ttvGTw4sgcLmYMUezns+VW6rWidWMiVbxc/a4wiDbkmX/r8DR+CLVjccnnx8rCWcC+tf2l/2nHvpLi+mAJbgWTbt3u/pdJZ2c09kuk08v4Ugs0S4nOtUVxfjNvv6bJdnUqncBBK6QKB2wY8xv1OQrXSOiyJUYlUOCup97RhCd8FKBQKRmdE88OWkh55iJORkcReBhs/lm6ryQ8/p9YVw6+PSrd5XbDju+BjW74Ib9G85GFRztAN/Fn0Z1iL55fWv9TtItj+gJ9Pd3wadkPnubXPUe2s7tY+yXQjpVvAXiHdtuJV6XFRWwir3pC+xlEFxRtCDje8z3xhXPR64/usyFZEYb10gPibPd9Q7uy9a3wZmQYiLhG66aabuPrqq3E6nQQCAf766y/ee+89HnroIV555ZWu6KNMd+Nu4yHIUSVU1P0+MESDTfqhCgC/N8Seblf1rrCnVzgr8Pq7bqe9pym1h1/M+gI+ObJ/KJO3TJTRKRQRXZZbuxeARGPXBFhya0W5QJKx68ZVQKXBa7Ciq5NeVCUaxO+WX5fPoNjuD8SPyYzhhy2l7Ci1MSCp5/QeZGQacdvF/BiOcBksfm/44AuITNPmlGwMf251fvjgSyfT2rxf5ijr9nnf4/Owu2Z32Pai+iLcfnc39kimW2mZcd0cj12U4bXE52p9fVyxM/RWbbzPCm2Fve59VmIPny3qDXjDbrDKyPQmIs5gufTSS3nkkUe48847sdvtnHPOOTz//PM8/fTTnHXWWV3RR5nuRm+VtnRuICpBBFdA7ABYM8KfqzGGCOmNTBgZ9vRMcyZaZWRuB4cS6abwgmJ6lZ4oiZp2mUMAjxMK14gAS4Tk1eURrYtGr+oa0ebcGjUaZYBYQ9eW3nkMsehqiyTbYg0xaJRqcnuoTGhoqhW9RsnizXKZkMxBgs4k5sdwxGZLH1fpWi9DzJwc/HPW1PDnJg4RGajdwKiEUWHbsixZaCW0m7oSrUrLqMRRYdsHxAxAr+qev41MD5A0NHybMVYI1LZEbRDr33CkjAg5pFVpGZ0YKqvQwMDYgb3ufZZhDv9MoFfpiVLL61yZ3k+HbJrPPfdcduzYgc1mo7i4mH379nHJJZd0dt9keoqoBBhxpnRbzjwhppc1TfzsdYmdtpQwQZNJC0NKJobHDydOLy3adf2Y60OcB3oTCcYEhseHWlMDnD34bOL1vfd379UUrgGfO2L9FYC9NbkkdaF4895aNYlGL8rIEmsixh0Vh75GetddiZJEY1Jjtk53o1UrGZEWzfebW8m2k5HpTkxJMOkq6baUUWBODXNdAhx1j3SbMTY0oNLvSNBHS59/1L0dEtDsCCMSRhCrj5Vsu2HMDZJCul2JQqHgmD7HhBUCvWb0NZJivTK9hJhs4fgnxYxbhJVyS6wZMO3GMPfrI+yeW6BQKDg6++jD6n2WaExkaJx0AOvcwed2qaC/jMzBQsQBFofDgd0uhJqMRiMOh4OnnnqK77//vtM7J9ND6MxiATf6AmiwdlMoYdipcPxTwhXolJeEW4pCAT8/CEfeDf1mN91DrYOp18PEK8T3zUgxpfD60a8zJK5pt9+sMXPnpDuZkDKh63+/HiTOEMfjsx5nZtpMFIgnXq1SywVDLuCCIRcc0tbThzV5S8VudEyYXecw+AmQV5dLclQYx4JOYG+NhqQu1F9pwG2MQ+WuR+WqlWxPikpiTw8FWADG9YlhXX4NJbXSOhAyMt2KWgcTr4Qp1zXNkQoF9J8DZ74d4kQSRMYkOOHZYDvZ5OGw4GuIbrF7HJ0JF30dnF1njIWTX4TU8DvrnU2KKYXX573O4GYlgmaNmbsn3c345PHd1g+pPmVbmj634/RxPDnrSfpb+/dIn2S6CUsKnP8Z9JnWdExjhCPuhOFniDL4lqjUMOQkYezQPNs4cxKc+3HYrLOUqMPrfRZnEL/b9LTpQevcBUMXcP6Q87s9W01GpidQBCJU/Zs7dy6nnHIKV155JdXV1QwcOBCtVkt5eTlPPPEEV10VZkdGgoceeohPP/2UrVu3YjAYmDJlCo888ggDBw4Me80bb7zBRRddFHRMp9PhdLZv0VxbW4vVaqWmpgaL5dCPGlc4KrB5bKgUKmJ0MaElJnXFomZUqQVTfOspyS1x1gmFdXcdaM0is8VTL8ohNAY82ijKXVW4fC70aj2JWitKe4WoLddbxQ6dJnzqY5WziipnFW6/G6vWSoIxAbWySRbIZq+g2l2Dz+/DrDURG6G1XJWzijp3HQqFgmhtNGbdwaO9UOeqo9JVicPrwKQxEW+IR99NqdoHM4fs+Hz7NFEuN+efEV1WYi/ltt9u44wBp5NtjSw40x78ATjls2SOzHIwM6Nr657VzlpSV79D/qTLsCcOCmnfUL6Bb/Z8w3+O+g96lfRuXldic3m58u1V3HPCUM6flNXtr3+oc8iOze7C5xHzrc8lSgnMydIPaS3xOIWOmbMWtEYwJoDBGv58eyU4q0FtFPOxswZUWiGwbWlljrSV7Rf1DFCjt1CDCLpadVasulZez+sUgp8+L9W6KKp8drx+L1GaKFJNYbJsWqHKUUWVK3Ter3RWUueuQ6VQEa2LxqQ1RXzvjlJuL6faVY0v4CNaF02CMQFla2XSByHy+Owg9iph7OB1gs4ixm1DwLOuGBzV4nu9tWl8ue1QVyjaNAYwxDa1ed1gKxGfAxoDmFKEdTPB7zOrzkqiMbHpfWYrAVcdKDXCOr0d5eJ2j50qZxXegBiPzbPAKp2V2Nw2lAolVp0Vs1asf/0BP6X2UpxeJzqVjnhDPBqV0Glzep1UOCvw+DwYNUYSDzCzttZVS5WrCrvHjllrlte5MocVEYvcrl69mieffBKAjz/+mOTkZNasWcMnn3zC3XffHVGAZcmSJVx99dWMHz8er9fLHXfcwdy5c9m8eTNRUeE/XCwWC9u2bWv8WRGhqGRvwOFxsLlyM/f/eT87q3eiVCg5IuMI/m/c/4n6R2ct5P4B394urONUGhh2Ohz5d7CG1wFppL4M1n0Avz0mRG11FphwGSQMhEXXUHb6q7xXt4N3tn+I3WsnVh/LlSOuZF72PGLj2heRj9HHEKOPkWzLrdrFv1Y+ym+FSwkQYGDMQO4cfyuDYwej07W+8HL73Gyr2sb9y+5nc+VmFCiYkjqF2ybcRh9rn3b1rasx68wHVcBH5gDw+4RF8+DjI760UeC2ixyESupVOH1KkrvQorkBr86MX6VFX1sgGWBJjkomAOTW5DIwNrS9qzHp1AxJsfDtxiI5wCLTudSVwF8vwfIXxIZGVDzMuBWGnSK+bw2NXpQXtIXPC2Vb4H83iTl80LGw5F/C0U+pgkEnwJx7ISbMe9uUgM8Yy66aXTzwxx2sLl0NwJjEMdw56U76WvuiahkQqi2C35+EglXknvYCT/71EL/s+wVfwEe2NZu/jfsbwxKGEa2Lbrv/+4kxxBDTLPPG5XOxqXQT9/15H9uqtqFAwfS06fxtwt/IsnTPOI03xvfq0mSZVjDGiK/meD1Qthm+uVWI1wNkTIRjHhGZYFojSK1z64ph2XOw8hVw14sstFm3w+ATISpO+n3mssG+lfDNzVC+Q4zlwSeK8r2YzLDdLrAV8OSqJ/kh9wcxHi3Z3DHxDobEDWFP7R7u//N+tlZuRYGCaWnTuHXCrVi0FhbnLua5tc9R4azAoDZw9qCzOW/wefgCPp5f+zxf7v4Sj99DalQqt4y/hQnJEzpcwmTRWXpd+ZOMTHuJOIPFaDSydetWMjMzOeOMMxg6dCj/+Mc/yM/PZ+DAgY3lQx2hrKyMxMRElixZwowZMyTPeeONN7jhhhuorq7u0Gv0lij/xvKNnPv1uSEWg0nGJN465i1SCjfAu6eHXpg4FM7/VETpw+F2wK+PiIVVS0aeRe3AY3ig+Be+zv8xpPm60ddx4dALDygFsLAml3O+vZAKZ7CFnlqh5v1j3mJgwrBWr99ZtZPT/3d6iCtBjC6G9+a/R5oprcN9k+laDsnxWbwBXpgG8x4SafoR8MG2D1lWtIwrR1zRJV1bVqDn3qWx3DGpEquua0VuAZI2LcJlSqRo7PkhbX78PLXqaU7ufxJHZx/T5X2RYvHmYt5cmsvKO48iJkpOU46EQ3JsdgeOavj6ZtjwUWjbkXfBlGtDymQ7RMVO8TljiIGjH4GPLoCWy7eYPqJMyCo9x+XV5nHal6eFuHgY1UY+Ov4jMi3NHujqy+Hji2HPEvKuXsrlv/4fBbaCoOsUKHh13qsHVOKzvXI7Z/7vTLyB4Pk6Th/Hu8e926EsmcMReXx2IuXb4aUjQh2DtFFw2c9io7El9ir48jphi96SuQ+Icvn9mSJB5C6DN46RGMvZorTPEvr+L6kvYcF3C9hXty/ouFlj5uW5L3Pe1+eFjKf52fPJic3hyVWh6/o5WXMYlzSOh/56KKTtqVlPMTtrdshxGRmZ1ok4B7J///58/vnn5Ofn89133zF37lwASktLD/hDvaamBoDYWGkhtAZsNhtZWVlkZGRw4oknsmnTpgN63UONWlctT656MiS4AsIebW3pavjrRemLSzdBRXi7RADqS2DZf6Tb1n9IZeIAyeAKwMsbXqbccWAe90sLfgsJroCwd/vP+hewOSrDXmv32Hlh3QuSlo9VriqW5C85oL7JyISQu0xoFcUPiPjSPTV7SO4ie2ZxfzVGtR+LtuuDKyB0WPQ1+yTblChJjkpu1bKyqxnfJ5YAAVnsVqbzqC+XDq4A/Pa42NU+ULwu+PMF8DhgzAWw9OnQBzIQ1rNFayVv4fF5+HDbh5IWqXavnY+3f4ynuWVzbRHsWQJZU9lUtzckuAIQIMDTq5+mpL5j7lz17nr+s/Y/IQ+DABXOCv4o+KND95WR6TAeJ6x8XdqO2V0PK14WJUItqS+VDq4ALHlY+nPAXgHf3xFmLO+BonWSt9tcuTkkuAJwbN9jeXH9i5LjaVbmLF5a/5Lk/RbnLibdnC5ZFvfoykcps5dJXicjIxOeiAMsd999NzfffDN9+vRh4sSJTJ4sLAG///57Ro/uuGCa3+/nhhtuYOrUqQwbFj5DYeDAgbz22mssWrSIt99+G7/fz5QpU9i3T3pR73K5qK2tDfo61LF77awtXRu2fcm+X1uv38xtY9HiqBKOKFJooyiol3YKAXB4HdS4alq/fyt4PA6WFC8P2766bC31UhPffmweG6tKV4Vt/3Xfrzi9ssjlwUKvGJ+5f4jgSoS71H4C5NbuJTkqMm2hSNhboyE5ykd3VVF6ouLR2spRhBljKVEp7OrBAEu0UcvgFAtfrZe2k5ZpoleMze6gphXrcY9daKQcKM5aEewASBgEBeHnOHb8IHnY5rGxrGhZ2MuWFS2j3lPfdKBkg/h/9gyWFYWfk9eXrcflc4XvTyu0NV8v2bcEj98Ttv1wRh6fXYS9svU1cu5SsUZuSWUr85qrTvpzwOOAgtXhr9spvZH5xz7p/uXE5IR9NlCgCB7fLSipL8GiDd0kL7AVYPd2vDJBRuZwJeIAy2mnnUZeXh4rV67k22+/bTw+e/bsRm2WjnD11VezceNG3n///VbPmzx5MhdccAGjRo1i5syZfPrppyQkJPDii9IZGw899BBWq7XxKyMjvD/7oYJKoSLWED7LJzUqVUThw2Fpo0QmjJ0cAF4nFm0rgnhwQCJWapWO5FasimP1saiV4d+2GqUmrBUkiBKq5kK6Mj3LIT8+AwGxGEuStiRsjWJbMU6fq0sdhHZVq0k2db3+SgNuk7Bf1NdKB2FTTalUOauodIbPQutqJmbH8sfOCirrwwSRZYBeMDa7i3AWyA10hqijWitE5kFoNhhbsVZu6SK0H61K26oVcrwhPri017Q/s66+jMRWbFVj9bEdFoRVK9XE6cP/LslRyagU7RAKPgyRx2cXoTE0jTUpohKkN1NaWZOL+0p8DihUwtErHGH0EsOVzdW568I+G2iUEuVJzTBrzZLZbVqlts1rZWRkQunQrJicnMzo0aNRNnvQnTBhAoMGdUy48JprruF///sfP//8M+np7RBgbYZGo2H06NHs3LlTsv3222+npqam8Ss/P79DfTyYiDfEc+GQCyXbFCg4ru9xENdP+mKVBvpMbf0FjHGQPEK6zZJOIqqw6uKjE0YTo5MWrm0PCqWS03JODdt+8aBziTOHf4/E6GO4ZPglYdvPHHSmHGA5iDjkx2fFLiEInRh5gGV3zW4UKLoswOL0Kii0qUnpBoHbBtyGGAJKNfpq6YzCBv2jXdXSn9fdwYTsOAIE+GajnMXSGof82OwuzMmSOgmAEMZsS+S2PeitMO1G8f2Gj2B0qMYRAAplWLHtKE0UFw27SLIN4KKhF2Fs7jIYP0CI2696g3kZsxvtVlty5qAzSepgmWOcIY6Lh10ctv30Aacfcm4+3YU8PrsIYwxMWhi+fdJC6TFtTQ8fmMmeAVIiylGJMDHMaymUMGi+ZNORmUdKjotv9nzDOYPOkbxmQ/kGxidJayXF6ePwBrySmWgn9j+x1U1LGRkZaXp05goEAlxzzTV89tln/PTTT2RnR25T6vP52LBhAykp0mn2Op0Oi8US9HWoo1AoODr7aGZnBgtPqRQq7p92PymmVCGslzkp+EKVFs56H8xtlCSYEuC010MzXaLi4dhHSfz+Hzw3/u8h1o7ppnQemP4A0W3t6LVBalQyd437W8gEcmzmHKanTW/z+onJEzmp/0lBxxQouHX8rcJhSeag4ZAfn7m/i12oxCERX7qnZjdxhlj0qk4QwJQgt1ZNAAUpUb4uub8kCiXuqDj01dKLfZMmimidlZ3VbehAdSFWg4ZhaVYWrQlf6ijTC8Zmd2FJhXM+FOKzzYnOgpNfbH2HOhJSx4iHuz1LxAZI3yOC25UqOPW18MEeYGDMQMmAxqXDL2VATAsNKXMKnPcJqPUkbv+B+6feF5JNMjllMif2O7HR5rUjTEubxvzs4AdJpULJnZPulAXpW0Een11I4mCYfG3o8YlXQVIYIXtLKpz7cWhGW2xfOOEZMESHXqNSwZjzod9RwceV6v1rcOmxnGRM4rEZj6FWBG8WJhoSmZY2jeP7BgdZFShIN6Vzz5R7QtbAFq2F5456jgxTBroWa5Fh8cO4YsQVsrWyjEwHiNhFqDNZuHAh7777LosWLWLgwCZVbqvVisEgylQuuOAC0tLSeOghoW79z3/+k0mTJtG/f3+qq6t59NFH+fzzz1m1ahVDhrT9kNOblNarnFWU1JewsmQFZo2JMcnjiNfHY9DsL/GxlUJ1HuT/JdJ908eJ3bb2akXUFApbyJLNkDAA4nKEUFfhGgJpYymOTmF77V5ya3MZGDuQPpY+JHWS3azdXkm5q4pVxX9h99gZnzqJRH080ab23b/GWUOZo4y/iv9Cp9IxPnk8cfo4olrTppHpcQ658fnJpUKI7rgnIr703mX3YtKaOC77uC7oGHyz28i/V1m5b1oFmm7Mso/d/RtaWzF7jrxdsv2rPV9R567jH5Pv6b5OteDX7WU8v2QXf9x2JGnRrZREyjRyyI3N7iQQgJp9ULJfRD55GMTnhD4gBQLgqAQU7Qu8OOvA5xKZJJ56Ia7p98KuHyFhsMhIzf9L3CtjEpgToXkWigS1rloqnBX8VfQXABNSJhCnj5O2U/V5oa4QCtdSGxVLhTWVlSWrqHXXMj55PAmGBFJMB64hVe2sptReyoqSFRjUBsYljSPeEB+cUSPTKvL4PADqy4UeiiEWdPvXiHUl4KiAPb9BwA/ZM0W7pZWMU78fagugZCNU7IbUkRDbDyxtjJH6MqgpEJbQhhiR+WZOFuVKYXB5XZQ6SllbupYaVw1jksaQbEwm1hBLtbOaMkcZK4pXoFfrGZs0lnh9PFHaKErtpeyt3cvWiq1kWjIZGDOQpKgkfH4fpfZSNlZspNReyoj4EaSZ01otK5SRkQlPj9ZKPP/88wDMmjUr6Pjrr7/OggULAMjLywsqRaqqquKyyy6juLiYmJgYxo4dy9KlS9sVXOltxDjriNn0FYOK14NCAUMUkDW56UPZlCi+0sdFfnN7FdiKYfPnwoaybAuMXSDs6fpMQQGkACnWrE77fZpjNMaSaYwlMyZMqVMbWPVWrHor/WP6d3LPZGT2EwiIxVfWlIgvdfvc5NflMzvzqLZP7iB7atQkGH3dGlwBcJkSMRVvROlx4JdYIKabMvg+9zscXgeG1vSeupDxfWJ57Y89fL6mgKuPkD8jZA4QhUJon4TRPwFEAGbzF7DuPbFDPf4S6Ddb+uGrvgKK18HvT4mHr6ypMPRk4W6SOAhGnAHR+y2VI5zfLToLFp2FbGs7MoZVavE60ZlYAAuQHd03otdrD9H6aKL10QyIjdyJTUamw9QWQvEG+PM5sSGZMQkmXi6yTgJeyPsL8v4Uc71SCwOPbv1+SmXbnwNSRCWIr9RR7b5Ep9aRYc6QzMpuGE85MTkhbYnGRBKNiUxInhDcdZWSNHMaaWY5a0xGpjPo0QBLe5L+2MTCAAEAAElEQVRnfvnll6Cfn3zyyQMS0+01VO2FV+eISaGBTZ/BgGPhhKdFYKWj+Lyw9zf46EIRuW9g7Ttw4n/EQk/OBJE53KnYJYKQyWFShlthb20uvoA/rFhdZ7CrStO95UH7ce//7NFX52NPCH1gyjCn4w8E2Fm1g+EJYbSeuhiDVsW4PjF8vGofC2f1Q9FdNksyhyc1++DN44OdRhathrRxcObbwUEWR7WwYf7j6aZjpZvF/Hv6G/DFtcIq9uLvIaZrNjhkZHo9dSWw7D+w7NmmY6WbYf17sOBr+PFe2P1LU9vmz8S4O/+Tto0iZGRkDntk9bBDEY8TfnsyOLjSwPavxYPfgVCTB1/dGBxcaeCbW0WZkIzM4c6eJUJ/pQMOQruqd6JVakjoovRbfwB2VWtI7UYHoQY8hmj8ah36Kmn72hh9DGaNiS2VW7u5Z8HMyElgT3k9q/Oqe7QfMr0cv18I00rZuBashPw/g4/ZSoKDKw147PDb4yKTtK4Ylj0H3o7ZI8vIHPbYK4KDKw14HPD1LdKZqWVbYNu3ocdlZGRkWiAHWA5FHJWw6ZPw7WvfPbD72ytETaoUbpscYJGRAdjzq9BZ6IBOwI7qnSSbUrrMIaPQpsLpU/ZIgAWFAldUIobqXOlmFGRaM9lcubmbOxbMsFQr8SYtH62U3TdkuhB7Retz8qo3wF3f9PPeP8Kfm7+8KWNu44fi3jIyMpGT28o4K1gZXrh+zVtgr+yaPsnIyPQa5ADLIUsrKe0HnO7exvVyOr3M4Y7fLzJYUkZGfGmAADurdnapQ8auauHqkWbugQAL4DYnYqjMBaTLQLPMfcivzaPOXdu9HWuGUqlg5oBEFq0txObqmb+TjEyb822nXycjI9Nx5HEnIyPTNnKA5VDEGAvDTw/fPuqcA7x/nBDckkJnFo5EMjKHMyUbwFHVoQBLSX0JdZ460k3pXdAxwa4qDdE6H1GanjGJc5uTULnr0dRL7/RlW/sQADZV9GwWyxEDE3B5fSxaW9Cj/ZDpxRjjYPT54dvHXxKsaZY9Lfy5WVOgaK34fsRZYJQdPmRkOkSfqeHbMiYK8Vspxi7oPOt1GRmZXoscYDkUUeth6vVglnAfGHISxHXMeacRawYc/zQoW9iPKBTCjlbqdWVkDid2/SzGYcLgiC/dUb0DBYouFbjdXqXtsewVAJdZWFkaqvZItps0JpKMSawvX9+d3QohzqRjTGYM/12W2y7RdRmZiFEqYdipopywJZmThdBtc0zJMP3m0HO1Jph2I6x6U4hsTroS1Nqu6bOMTG/HmADTbgo9ro2CYx6BfStC25KGQ86cru+bjIzMIU+PugjJHAAxWXDJYuEctOkz0Jlg0kKxWAuXfdJeVGroMx0u+0XY15Vugbj+MHkhxGSDNnLNCRmZXsWun4QWgkoT8aXbKreRFJWIXqXrgo4JR8ntlRqmpzu65P7twa/W4THGYKjYQ20YG9m+0X1ZX7YOX8CHStHNXtLNmDMkiYe+2cpfeyqZ2Deux/oh04uxpsH5i2Dnj5C/DFAIi+asKaE2zXoLTL4a+h0Bf/wb6kuhzzQYeAysfEMEWQafELkVrIyMTBOmBJhwOWTPgE2fg88NllRhgR7TVzhm7v4VVr0GBGDMAjEmLV23MSIjI9N7kAMsPUitw0NpnYvfdpTh8QWYkRNPslVPtLGdu1LRGTD5GpF+rFIL9fOqvUKEyxgH2dPFblhHAiJ6i0iDnHYjuO2gNojyIENM5PfqCK46Iaa7+2fx+v1mgSUdouSUaJkexl0PectgzIUdunxr5Tayrdmd3KkmiupV2L3KHs1gAXCZUzBWSGewAORE92dZ4TJ2Vu1gYOygbuxZMMPSrKRFG3j9jz1ygKWHsLu9lNa6WLqrnGq7hyn94kiPNRJv6pogZI+gMUDaGHBWgVIDycPCC2QbY0VQJXW0ePDTmsDrhGP+BYZokU1qK4PqPCG2bYgRD4rmpOByowbcNmFLu/sXcNVC9kyIzpTnU5kDxu8PUFjjYP2+GvaU1TMszcKAJDMp0Yae7lrbRMWBLxsyJ0JNAWROAr0V1BoRSBl1lghsEhDjri28HqjJhX0rhZtn2hhIGASxXTffy8jIHJzIAZYeotru5rXf9/Dvn3Y2HnsQOGNcOrcePYi49i4slUowxkBtEXxySbAyukIJp74KA+ZJL7pao3w7vDFfWEY2YIiBBV91yJY2Ipw1wnXh29uajv2A2LU77jFZA0amZ9n7u3joSRsb8aVljnIqnBXMSJ/RBR0TbK8UWTXpPR1gsaRgKtmM0l2PX+LzJykqCYvWzIrilT0aYFEqFBwzLJlXf99DbkU9WXERflbKHBB2l5fvNpfwfx+uxd+sSmtKv1iePHM0SRZ9z3Wus7CVwY/3is2PBr4DZt4KE68Mr+mgjQL2vx+bZ8vVFcOnlwuh7QYUSjjpeRg8XwRkGnDZYOOn8L/rRHpbA/3niF16szyfynSMQCDApqJazn35T2qdTfNNilXPe5dNok/8QfxZ6nVD7lJ474xgu/OEwXDex2Ddr5FmsLbvfj4vFK6Cd04TG4QNRGfCeZ9A/IDO67uMjMxBj6zB0kPsLLUFBVca+HDlPlbmVkV2M58XVr4WajsX8MMnF4vgSyTYyuCjBcHBFRCinu+dFfn9IqUqLzi40sCWL2Dbt1372jIybbFjscgMs0TuArS1couwKbZ0XXr/tkotsfqeE7htwLm/9MFYKZ3FokTJwJiBrCj5C1/A151dC2F6TgIWg4aXf9vdo/04HCmudXJTi+AKwNJdlXywIh+fz98zHetM8pYFB1caWPIIlO+I7F4+H6x+Kzi4AmK+//zK0Pm5Zh98eW1wcAVg52LY8KFwRJOR6QDFtU4ufmNFUHAFoKjGyY0frqWq3t1DPWsHdUXw3pnBwRWAsi3wwz+DrdPbQ3UevH9OcHCl4fiX14ugqIyMzGGDHGDpAVweH6/+Hj51/oVfdlFtj2Biqi+Fv16UbgsEYNvXkXXQXg4lm6TbqvOgviyy+0WC3w+rXg/fvvTfYCvtuteXkWmNQAC2fyuyVzpgV76lcgtJUUnoVV23K7+lQktGD2evAPh0Zrx6C4byXWHPGRw3mDq3jc097CakVSuZNzSZD1fso7TO2aN9Odz4ekNRyLN/A6/9sYcym0u68VDBXgl/PBW+/c/nQh/yWqO+BJY/J90WCMDmRcHH1n8Q/l7L/iPWDzIyHaC4xklZnfR7d01eNRUHc4ClaJ0ou5Ni0ydQXx7Z/WrywV4h3Za7NHybjIxMr0QOsPQAbp+f8lYWjZV2N55Idu38PlFWE47awgh6R/hJpwFPhJH9SPB7oa6V/torxDkyMj1B2TaxkEofH/GlfgJsLN9EliWrCzom8PhhV7WGTIuny14jElzmFKLKQzP1GkiOSibeEM/v+37rxl5JM3dIEmqVgpeWyFks3UlRTfj5psbhCclsOeTwe1p/uKovEyWH7SXgF9mk4ahpYTlekx/+XEelWD/IyHSAlpkrLXF5D+L3VssM7eb4vZGNSRBjqTXaWlfLyMj0KuQASw8QpVVz5KDwdc/T+sVj1kfgTqI1CjGtcPSfHUHvAEMsqMNowCiUXauBotbCwOPCt/eZBjpL172+jExrbPtKCD6njIj40vzaPOrcdWRbuk7wbne1Bo9fQabl4AhCOq2p6GoLUYVJt1agYET8CFaXraHGVd29nWtBlE7N0cOSefvPXDmLpRs5clBi2LYxmTEYtT3nMNUp6KyQPSt8e85c0ESgVaExQvrE8O0D5gb/PGh++HMzJkeuzyYjs5+MmPBCtlFaFVZD5C573UZrGmrWjGAdo/YQ14rGis4C+ujI7icjI3NIIwdYegClUsH8ESlEG0MnH71GySXTs9FrIlhUGuNg3kPSJQvxOZA0LLIOmpJgyvXSbeMuBuMB2kC3Rd9ZYE4JPa7SwKw7hCW1jExPsPUrSBsNqnY6fTVjY8VGtEoNaebItVvay5YKLWpFgFTTwRJgEUKBrZUJDU8YhhIlP+X/1F3dCsuxw1JQq5Q882P4rBuZzmVoqoU+caFuOgoF3Hnc4Pa76h2saPQw5RrhItQSYywMPVmI1bcXYyzMu19sdrQkti+kjAw+lj5eCG22RKmCOfe2zx1FRkaCeJOOU8dIz2fXz84h0XwQu4BZMyBzsnTb3AdC7dPbIipWGDFIMeNm4YIpIyNz2CAHWHqI9BgDn141hSMHJTTGRSZmx/LZwqlkxnbAVjl5OFz4vyaHH5UWRp0H530W+USh0cPEK+DYx8C0f3fRGAtH/RNm3gZ6c+T9i4ToDLjoGxhyklgEAqSNg4u/h7h+XfvaMjLhqC2EglWQMalDl68tXUeWtQ9qRdftyG8q15Jh8aI+SD7ZfToTHkMMUWXbwp6jV+kZmTCCH3N/xOG1d2PvQonSqTl+ZCrv/pXHnvIuLIWUaSTZauCdSydy6pg0NCoxGQ5JsfDB5ZMYmNzFc013EZMNlyyGrKniZ4UCBhwt5rSYDpQMJg7d7+i3f/NEpYGRZ8MFXwh72eZY08TaYNjpoNxvHJkyCi76FhIGdvhXkpGxGDTcdsxgbpozAItBvLeSLDoeOXU4p41LR6s+iLPPTAlw2usw8aomu/TYvnDWu2KTL1LMKTDvQZh6o7B6BjEW5z8Nw08HzUEcbJKRkel0FIFAOHm53kltbS1Wq5Wamhoslp4vNalzeqi2ewgQwKLXHPhuna0M3HWg1EBUvPSuWXvx+8FWLGpHVTowJzcFPDpAVV0Rle4aXF4nVp2VeEMiOl2z9OS6UiGw6/eKMiW9WWjL+H2gt4hMHZlezcE2PoNY/hJ8dxuc+U7E6cM2t43rf7meuVnzGJkQeXlRewgE4Jz/JTEywcUxfXs2UNGc2N2/oaspYPecvwPSwsA2j42X1r/EvD7zOCXn1O7tYAvcXj83f7SWURkxvHzhuB7ty8FEV49Nh8dLhc2Nzx/ApFMTZ+qFDySOqv16aQowxIh5raP4PPuFNStFSa8xvvXNFFc9OCrEfKpQgdcu7mGMEw+H7RDtrnBUUOWswuP3YNVZSTAkoFEdxGUghxE9OXd6fX5K61x4fH50ahVJFh2KDojA9wj1FWJc+DxivWxOO7BgiMcJtQXifmodRGe1maHm8TgpsxdT46pGo9QSo7MS14WZrjIyMl2Puqc7cLhj1msi01tpC1MC0EklPEpl6G5YB8mt2snffv87myuFW4hepefSIedzxoDTiTEmQekm+PiiJstKnQXm/FOkT8spzDIHA5s+g5TRkddmA2vL1hIIQP/orsvAKq5XUeVU0cd6cAjcNuCIzsBUvBGNrRyPSfqzyaQxMT55PN/t/Y4pqVNJjkru5l42oVUrOWtCJs/8tJNft5cxY0AXl0TKAGDQqEmP6eVLEkOM+DpQ7FWw8RP48Z4mW9iEgWJHPnGIdLBEFyXm9NxlsOiqJttYczKc+DxkTQ67IRMIBNhRvYNbltzC7hohAh2lieKGMTdwTPYxWHXWA/+dZA5Z1ColqdEHsJnXU1TugU8uEZmpIAIik6+FiVfuX0t3AI0+okzralsJX+/9hqfXPY99fwZnv+h+PDr1QfrHDkIRSfmgjIzMQYM8cmW6nOKaPC7+4YrG4AqA0+fk2Q0vszj3BwK2Enj92KbgCoCrFv53A+T/1f0dlpFpSW0R5C2DPtM7dPmqktWkmdKIikTMMkI2lGlRECDrIBG4bcBpTSOgVBFVtrXV8yamTMKkNfPy+pfx+ns2SDS5bxxDUizc/cVGnJ6D2AlD5vAk9w/4+v+agisgHM7eOK5116DKPfDuaU3BFRDfv3saVO0Ne1lhfSEXfXtRY3AFoN5TzwPLH2B1yeoD+EVkZHqI2kL474lNwRUQdum/PQbr3gNf93zuryxZyUOrHm8MrgDsqt7FgsWXUVTXyliWkZE5qJEDLDJdzo6q7ZTaSyXbntv4KqW2QhFQkeLHe6G+vAt7JyPTDjZ+InQOMiPXX7F77Wyq2MiAmJwu6FgT68p0pJq8GDUHV9VnQKXBaU7FVLyl1fO0Sg3zs+eTZ8vjtY2v4w/0XGBDoVBw0dQ+7Kt08OxPsuCtzEGErVTMi1I4qmDv79JtHicsfUbaltnvg6XPhrWS/avoL2rd0nP0U6ufosLRig21jMzBSOVuqM6Vbvv9CbAVdXkXKuoKeHr9C5Jtte5aVhXLG4wyvY8FCxZw0kkn9XQ3uhw5wCLT5WytDP9gVeGswOVrxRK1bKvYVZCR6UnWvw/p4zpkabq6ZA1ev49BsYO7oGOCQADWluroG31wZa804IzNxFixE4Wv9bGcakrhuOzj+KtoOc+u+Q82t62behhKeoyRE0el8fySXWwsqOmxfsjIBOFzQ/n28O35y6WPu+uheH3464rXiXMkWFe2Luxlu2t24+nhjDMZmYgpbSXg76gCj6PLu+Dxe9lbuzds+7qKTV3eBxmZ7ubpp5/mjTfe6OludDlygEWmy+lr7Ru2zaK1oFW1IigWkwWqXl6XL3NwU7wRijdA39kdunxZ4VIyzOmYO6Dd0l4KbSoqHCr6Rbu77DUOBEdMFgq/j6jS8G5CDQyOHcTJOSeztWort/9+G1/sWkSZQzoDrqs5aVQqGTEGbvxgrVwqJHNwoNQI4cxwNDgLtURjgLj+4a+LywmrwTIwJrzbULopHbVSnqNlDjFiw69L0ZpAre/yLqgUSlKiwgtTD7C00kcZmUMUq9VKdHR0T3ejy5EDLDJdzpD4YVi00qr2CwaeTYIxRYiLSTHrdjAldWHvZGTaYM3boI+G9LERX1rhqGBL5VaGxod56OkkVpXoUCkC9LUenBksXr0Vd1QcpqKN7Tq/f3R/Lhl2MQNiBvDV7q+59dfbuP2323hz85usLF7RetZbJ6JWKVk4qz97K+p56OvWS5xkZLoFcxLMvFW6TWOAnDnSbVojTLsh/H2nXt9kV9uC6enT0YXZCLlq1FXEG+Jb6bCMzEFIwkCICiNkO+Gybll3JlgyuHLoRZJtepWeKekd03yTkWmLjz/+mOHDh2MwGIiLi+Ooo46ivr6+sXzn3nvvJSEhAYvFwpVXXonb3bR55/f7eeihh8jOzsZgMDBy5Eg+/vjjoPtv2rSJ+fPnY7FYMJvNTJ8+nV27dgGhJUJt3a+qqopzzz2XhIQEDAYDOTk5vP766137B+oE5ACLTJeTbM7gtaNeJMnYNGEpUHBq3+M5JecUVKZEOP/zYBtmpRqm3wJ9j+z+DsvINOBxwrp3od+R4j0ZIb8V/I5GqW51B7gzWFmsp4/Vg059cOmvNMcRm42pZJOwYW8HJo2JuVlzuWbU1ZzU/yRSTalsKtvIc+ue54afb+DtzW9T46ru2k4DGbFGzpuYxZvLcvl6Q9fX5cvItMmAeTD1BlCqmo5FxcP5i8CSHv66uP5w8ovBgRSNEU55qdXsluSoZF6Z+wqx+tjGYyqFiouHXcy0tGkH8IvIyPQQ1nS48EuIzgw+PvxMmHgVqLXd0o1ZGbNYMOgcVIqmsRynj+OVo54j2dQ5Lp4yMs0pKiri7LPP5uKLL2bLli388ssvnHLKKQQCYv34448/Nh5/7733+PTTT7n33ibdr4ceeoj//ve/vPDCC2zatIkbb7yR8847jyVLlgBQUFDAjBkz0Ol0/PTTT6xatYqLL74Yr1d67dfW/e666y42b97MN998w5YtW3j++eeJjz/4g/qKQMNf9DChtrYWq9VKTU0NFot0VoVM11Bam0e5o5J6j43EqGTidNGYjPsHid8n3AzqioTQnjUdjPGg67qyCpmDj4NufK59Dz6/Ek56EaxpEV3qDXi5ecktZFuzmZc1t4s6CG4fnL4omSMzHczK7Pq68Y6itVeQvPZD9k26jPrEQR2+T5Wrmk3lG1lduoZAwM/Zg89metp0QMKatpMIBAL8+6cdrN9XwxfXTKV/ornLXutg5aAbm4c7LhvUl0FtgQiSmJLAnCKsmFvD6wJbiXBRAbCkgim5zQdKf8BPmb2MUkcpTq+T5Khk4vRxGMNkvch0L/L47CC1RVBfCs5asKSIrBZ999qO2x3VVLgqKbYVYtAYSdDHk2BKRSmXx8t0AatXr2bs2LHs3buXrKzgctMFCxbw5Zdfkp+fj9EoPttfeOEFbrnlFmpqavB4PMTGxvLDDz8wefLkxusuvfRS7HY77777LnfccQfvv/8+27ZtQ6PRhLz+ggULqK6u5vPPP8flcrV5vxNOOIH4+Hhee+21LvqLdA3y6JXpNhItmSRaMqUblSrxABvhQ6yMTJcRCMBfL0LqmA69L/8q+osaVw1jEkd3QeeaWF+mw+VTMjD24NRfacBtiMVjiMFcsPaAAiwxumimpU1jXPI4fsr7mdc3vsHemlzOHXwOyma7gJ2JQqHg8un9uPuLjVz65koWXT0NqzF04SAj023oTOIrNjuy69Q6sWvfcue+DZQKJUlRSSRFySW7Mr0IS4r46kGMhmiMhmgyomXNFZmuZ+TIkcyePZvhw4czb9485s6dy2mnnUZMTExje0NwBWDy5MnYbDby8/Ox2WzY7XbmzAkuRXW73YweLda6a9euZfr06ZLBlZbs3LmzzftdddVVnHrqqaxevZq5c+dy0kknMWXKlAP6G3QHcoBFRkZGRor85VC4Bmb/I+JL/QT4es839LX2JcEQps67k1haoCdO7yM56iAXYVUosMf3w1y0geIRpwrb6wNAr9JzbPYxpJnS+H7vdzh9Ti4dfgmKLqp8NWhV3Dx3IHd9vpEr317FmxdPQKuWq2xlZGRkZGRkDg1UKhWLFy9m6dKlfP/99zzzzDP8/e9/Z/nyMA50zbDZhLPjV199RVpa8MajTid0ugwGabH0jt7vmGOOITc3l6+//prFixcze/Zsrr76ah577LF2v05PIK8OZWRkZKT442mwZkBa5OK2a0pWU2ArYFLqpC7oWBP+ACwr0DMk3o2i6ypkOo36+ByUXiemks2dds+RCSM4rt98/ixcxgfbPui0+0qRZNFz45wBrMyt5NZP1nOYVdjKyMjIyMjIHOIoFAqmTp3Kvffey5o1a9BqtXz22WcArFu3Doejqdz8zz//xGQykZGRwZAhQ9DpdOTl5dG/f/+gr4yMDABGjBjBb7/9hsfjabMf7bkfQEJCAhdeeCFvv/02Tz31FC+99FIn/0U6HzmDRUZGRqYlpVtg29cw5TpQRBaH9gV8fLzjE7ItfcgwtSI42QlsLNdS5VIxLN7Vpa/TWXgN0bjNSVjzV2BLHdlp9x0SOxiH18H3exeTGpXGjPQZnXbvlgxOsXDlzH4889NO4k1a7jh2MIpDIbolIyMjIyMjc1izfPlyfvzxR+bOnUtiYiLLly+nrKyMwYMHs379etxuN5dccgl33nkne/fu5R//+AfXXHMNSqUSs9nMzTffzI033ojf72fatGnU1NTwxx9/YLFYuPDCC7nmmmt45plnOOuss7j99tuxWq38+eefTJgwgYEDgw0f2nO/u+++m7FjxzJ06FBcLhf/+9//GDx4cA/99dqPHGCRkZGRacmvj4IpEfoeEfGlv+T/Qkl9CRcOvaDz+9WCn/MMxOh9ZFoOTntmKWwJA4nd8xsqRw0+Q+eJCY5NHEO5vZy3t7xFliWTLEufTrt3S6b0i6fW4eXl3/ZgNWi45sicLnstGRkZGRkZGZnOwGKx8Ouvv/LUU09RW1tLVlYWjz/+OMcccwwffPABs2fPJicnhxkzZuByuTj77LO55557Gq+/7777SEhI4KGHHmL37t1ER0czZswY7rjjDgDi4uL46aefuOWWW5g5cyYqlYpRo0YxdepUyf60dT+tVsvtt9/O3r17MRgMTJ8+nffff7/L/04HiuwiJCMjc9BwUIzPkk3w/FSYfDUMODqiS6tc1fz9978zMGYA8/rM66IOCtw+OOfLZMYlOzmmr71LX6szUXrdpK76L5X9j6RiYOe6K3kDXt7Z8i7+gI97ptyDXtX+WuCO8OnqfXy0ah9/P3Ywl83o3QKFB8XYlJGRkUQenzIyMgdKc4cfmQND1mCRkZGRac7ifwi70/5HRXRZgABvbHwDlULVpSUqDfxRYMDmUTIu+dAoD2rAr9Zij+9PdO4yYc/eiagVao7vezzVzhre2/Jep95bipNHp3HiqFQe+HoLr/y2u8tfT0ZGRkZGRkZG5uBGDrD0Rnwe8Pt7uhcyMoceO3+EnYthzAWgjKyC8ofcH1hfvp55feZiUHdt5gTA17uM9LV6SDAe5O5BEthShqN21mIuWt/p947Vx3Bk5pH8VvA7a0pXd/r9m6NQKDhzXAYnjEzl/q+28OKSXV36ejK9GK9bWMPLyMh0L4GAGH8yMjIynUSPBlgeeughxo8fj9lsJjExkZNOOolt27a1ed1HH33EoEGD0Ov1DB8+nK+//robensIULMP1n8AH54PX14HBWvAXtXTvZKROTTwuuGbWyFpGGRJ14qGY1vl/7N33/FRVO0Cx3/bS3pvhFBC711BQARpgvJaEERBwQqIDRULWFBRFBVEAZGigqLCFVCadBGQ3kuogYQkpPftu/ePkYVldwOBFALnez/5XHPO7MzZfZnM7DPnPE8CvyT8QpuI1sQHxpfTAC86nqPiQKaG22MMV974BmTWh2AIjCX4xHqg7L9UNg1rQnxgPHMPziXfnFfm+7+UTCZjQJtY/tcihgkrjvLlmmOiupBwdRwOyDkDW7+Rrtt/vQUZCWCuOkv+BKHKMhVIS4JXvCadfztnQ+7Zyh6VIFSauXPniuVBZaRSAywbN25kxIgR/Pvvv6xevRqLxUL37t0pKiry+potW7YwcOBAhg0bxp49e+jXrx/9+vXj4MGDFTjyG1DuWZh7D/zf05CwAvb8CDPvhG3TwJBb2aMThBvf5smQcwraPUtpah6nFqUyde9UqvnF0jm2czkO8KJfj/oSorXROLTqPnUriG6ONu8c+vQrB9VLS4aMHjV6YMPGD4d/oDyCOC7Hk8no3zqWh9vE8uWa43yw7Ah2uwiyCFeQfhhmdIRVb8CxlbD1a/imHRz/CyzGyh6dINy8zEVw8HeY1h62fyudf3++BDO7QObxyh6dIAhVXKUGWFauXMnjjz9Oo0aNaNasGXPnzuXs2bPs2rXL62smT55Mz549efXVV2nQoAHjx4+nZcuWTJ06tQJHfoOxGOHvSZCT6N638RPIT6nwIQlClXL+MPw9ERr+D4JqXPXLso3ZfLZzElqFlvtq34tCpii/Mf7nRI6STck6OlcvRl6FqwMbA2Iw+UUQenQl5REA8VX50D2uB7vP72HzuS1lvn9P+jWP4Yn2NZj1z2lG/7YPi00s1RS8KMqExcPBeNkMK4cDfn8GCs9XzrgE4VZQeB7+fMG9vShTmsl6+XkpCIJQCjdUDpa8POkPWnBwsNdttm7dSrdurskne/TowdatWz1ubzKZyM/Pd/m56RRnwv4SSlYdXlJxYxGEUrghzk+rSZr55RcFzR+56pdlG7P5ePsn2B12HqrXv0Lyrjgc8O2+AML11iqX3NaNTEZebFt0uUn4ph4ol0PUC6pL49BGzD8yjwxDerkc43LdG0Uysks8S/el8OT3OykyVZ0S2pe6Ic7Nm5khB1L3eu6zGiHzWIUOR6haxPl5nZK2g8NLAPzUOijOrtjxCIJwU7lhAix2u50XX3yRDh060LhxY6/bpaWlERER4dIWERFBWlqax+0nTJhAQECA8yc2NrZMx31DcDjAVsKXLVNBxY1FEErhhjg//xoLGUfhjpdBob6ql6QXpzNh2wTMdjMP13sYf7VfOQ9S8leijv0ZGvrULkJRhWevXGAMrIYhqDrhh/6QknOXg27Vu6FVapmxbwY2R8UEOzrEh/Jaz/psP53NQ9O3cj6/6i33uCHOzZuZ/Qr/Fi1VM7+SUDHE+XmdSspz5HCUeYU7QRBuLTdMgGXEiBEcPHiQBQtKmIlxDd544w3y8vKcP0lJSWW6/xuC1h9qd/Xe3/DeihuLIJRCpZ+f+36B7TOgzTAIqX1VLzmTf4YPt32IHQeP1B9IoCagnAcpScxT8s2eAFpHGqkXXD7BiMqQG9cBpTGX0ONrymX/GoWGPrX6kph/hoXHFpXLMTxpEhPAO30bcj7fSN+v/mF/cm6FHbssVPq5ebPTBkJANc99MhlENKrQ4QhVizg/r1Pc7d77whuCtmKu64Ig3JxKV4e0nIwcOZI///yTv//+m2rVvNxw/CcyMpLz513XJp8/f57IyEiP22s0GjQaTZmN9YakDYC7x8OZze5PvWrdCcG1KmVYgnAllXp+ntkCS0dCfDeod89VvWRfxn6m7ZtGsDaYB+o8gI9K79JvtcOhTDX7MzScylWSVqSk2CJDLgN/jZ1oXyvxgRYah5mJD7Jc9SyUlEIFb/0dQrDWzn3xhaV9pzc0iz6Q/JhWhBxfR2FkI4yB1cv8GDG+0dxZ7U5WJa6iZkAN2ka2K/NjeBIX4sP4fo35fPUxHpy2lQ//15iHWleNJ823xLWzMvlHwT1fwM/93csz3z4SfMIqZ1xClSDOz+vkGwnNB8He+a7tcgXc8zn4ivNPEIRrJ3NUYj1Jh8PB888/z++//86GDRuoU6fOFV/z8MMPU1xczB9//OFsa9++PU2bNmX69OlXfH1+fj4BAQHk5eXh7+9/XeO/odiskH0K/v4UTqwGXRC0e06aveLnOfgkCDeaCjs/U/bC932lhLbd3gOFqsTNHThYlfgXvx37lVoBtbm3Vl9Ul7zmeI6KFaf0/J2ko9Aix0dlJ8bXSrDOhk7hwO6AQoucTIOClEIlFrsMX5WdtlFGbos20irShI/K/U+xwwGbkrVM2RWITmXn6aZ5+Gtuwuo0DjuRB34Hu5UznV/CflngqkwOgYNlp5ZxLOcYr7Z5rULKaV9gttqZs+U0GxIy6N+6Gu/e2wi9+oZ4vnHVbtprZ2UyF0plmdeOl/Kx+MdAp1ehxh3gE1rZoxOqEHF+XoPCDDixBjZ/AYXpEHsb3PUWhNQBlbayRycIQhVWqQGW4cOH89NPP7FkyRLq1avnbA8ICECnkxJGDh48mJiYGCZMmABIZZo7d+7Mxx9/zD333MOCBQv46KOP2L17d4m5Wy646S9C5iIp+7lMAb7hpSo3KwiVrULOz6TtMP9B6QnW3eNBXfKX+WJrMXMPzmXH+Z20i2pHp2qdkCPDZofN57T83zFfjmarCdTYaBFuokmYiShfm9cKP1Y7JBUoSchWczRLTWqRErnMQZ0gC/WCzUTobSjkkF6sYEeqhqQCFY1DTTxQtxC9hyDMzUJpzCfiwCJMAdVIuu1JkJcc9LoWVruVX4/9RpYhk9favEZ1/7gyP0ZJNh5LZ87mRKICtEzq35xWcUEVevzrcdNfOyuTIQ8sRVIOKBFYEa6BOD+vQ2G6lBNJ4yf9CIJw3RITE6lZsyZ79uyhefPmlT2cClepARaZly//c+bM4fHHHwfgzjvvpEaNGsydO9fZ/9tvv/H222+TmJhInTp1mDhxIr17976qY4qLkCDcuMr9/DywEJYMh5B4uGscqH1K3Pxo9lFmHZhFgaWQXjV6Ui+4HkarjDVndCxM8CWtSEntQDMdYow0CDFfU9nkHKOchGw1p/OUpBYqyTXJsTtk+KvtVPe30DbKSK3AqlmJprQ0+SmEH/6TovD6nGv12BVnFl0Lo83Irwm/kmfK44WWL1AnqG6ZH6MkKbkGpm88yYn0QgbdVp3R3esRqL+65MqVSVw7BeHGJc5PQbj55RWbySw0k2+04K9TEeqjJuAGvX8QAZZKDLBUBnEREoQbV7mdn8Y8qVrQ7u+lvES3Pw9K7+vX88x5LDr2f2w6t4lYv2r0rnkPFlsQy076sOyUD4VmGU3CzHSOLaaan6g2UJZ0OWcITfgLY2A1zrUejK0ckg0abUZ+P7GYlMJzDKz3CF2q3wlU3Gw/u93BykNpLNyVjEop47nO8Qy+PQ4fzY27bEhcOwXhxiXOT0G4uaXkGnh90X42Hc90tnWqE8rHDzQlOlBXbsdduHAh7733HidOnECv19OiRQuWLFmCj48P3333HZMmTeL06dPUqFGDUaNGMXz4cMB9EkXnzp3ZsGEDdrudDz74gG+//ZaMjAwaNGjAxx9/TM+ePQEwm828/PLLLFq0iJycHCIiInj22Wd54403APj888+ZM2cOp06dIjg4mL59+zJx4kR8fX3L7TO4Fjfu3ZwgCML1shhh7zzY8LGU7+D2kVCnh9elc9nGbNacXcu6s+uQy2R0rtYLg6UNk7br2ZmmQaNw0CrSRIcYAyE6ewW/mVuDISiO843uJSxhFTU3fEZGg3vIq94WZGVX9E6r0NK/7kOsO7uOH4/8yM7zOxnYYADVfCsmAa1cLqN3kyja1w5h0e5zTPorgW82nGBAm1gebhNLfLiYpi4IgiAIgjRz5fLgCsDfxzMZs2g/Xw1sUS4zWVJTUxk4cCATJ07kf//7HwUFBWzatAmHw8H8+fMZN24cU6dOpUWLFuzZs4ennnoKHx8fhgwZwvbt22nbti1r1qyhUaNGqNXS+CZPnsykSZOYMWMGLVq0YPbs2dx7770cOnSIOnXqMGXKFJYuXcqvv/5K9erVSUpKcqmSJpfLmTJlCjVr1uTUqVMMHz6c1157jW+++abM3//1EDNYBEG4YZTJ+WmzQPIOOPIn7F8AxdlQqzO0HOKxMkeWIYtD2YfZmbaT/RkJGKw18FHeTo6hHgczdVjsMuL8LbSKMNI83IxGeUv9yaw0CouRwMTN+GQcw6IPJrfGbRRENcPiE0JZzjY5lXeKNWfXkmPMoWloE9rHdKBJaBN0yvJ7InS5rEITKw+lsTEhgwKTlboRvtxVP4Lba4fQvFogAfqyXypVWuLaKQg3LnF+CsLN62R6IV0/3+i1f+3LnakdXvYzOHbv3k2rVq1ITEwkLs41Z118fDzjx49n4MCBzrYPPviA5cuXs2XLFq9LhGJiYhgxYgRvvvmms61t27a0adOGr7/+mlGjRnHo0CHWrFnjNZXIpRYuXMizzz5LZmbmFbetSLfcDJYL8aT8/PxKHokg3Lz8/Pyu6g/j5a72/JQZslEeX47MVIDMkIOsOAN5XhLy7OPIDdnO7axRLSlo+hj7zDns2L6XTJOCQouNfIuDXLODfIsCgy2AYmsUhbZhLscIVJtoFphBPf9cgtRmANIzSv2WhOvh2wiNMpbg7FPoD21Ff2grAMXaQIy6QCxqHywqHVaFhuzgGlivqfqQD3eE9uF0/imOpCewN/UnANRyFRH6CII0Qfip/Gge0pxQffklIG1fw4+2sb4cSClgd1I+0zeeZPrGk87+6AANMQFawvzUBOpU+GuV+GgU6FQKIvzU3FE7GMVVJAEq73NTEIRrc63nJojzUxDK2/Wcn9cr32gpsb/gCv3XqlmzZnTt2pUmTZrQo0cPunfvzoMPPoharebkyZMMGzaMp556yrm91WolIMD7su78/HxSUlLo0KGDS3uHDh3Yt28fAI8//jh333039erVo2fPnvTp04fu3bs7t12zZg0TJkzg6NGj5OfnY7VaMRqNFBcXo9eXfQXKa3XLBVgKCgoAiI2tmKnggnArutanaFd7fs65T8vjza88HVKZupug1N0U2drxteWFUo0l16xhZ3Y4O7PDS/U6oTy0d/218L+fS53kOjX670diAgou6V1HNpBNZUnJM5GSZ/Laf/6XtzEm7r3ifsr73BQE4dqkp6cTFuY+y/JqiPNTEMpXZc4O89eWPIvV7wr910qhULB69Wq2bNnCX3/9xVdffcVbb73FH3/8AcDMmTNp166d22uuR8uWLTl9+jQrVqxgzZo19O/fn27durFw4UISExPp06cPzz33HB9++CHBwcH8888/DBs2DLPZLAIslSk6OpqkpKTrikTm5+cTGxtLUlKSmIpZSuKzu3ZV6bPz87u2HBKlOT9L85yuI7C/lGOpSp/39RDv8ybx5sXpwyW914o4N28UN/3/5oj3eDO48P4u5Ci4FqU9P2/2z7Q0xGdxkfgsLrr8s7jWa2dZCPVV06lOKH8fd18G06lOKKG+5VdJSCaT0aFDBzp06MC4ceOIi4tj8+bNREdHc+rUKQYNGuTxdRf+ntlsFwtB+Pv7Ex0dzebNm+ncubOzffPmzbRt29Zlu4cffpiHH36YBx98kJ49e5Kdnc2uXbuw2+1MmjQJuVzKy/frr7+Wx9u+brdcgEUul1OtWrUy2Ze/v/8t/wfoWonP7trdzJ9dWZ6fZeVm/rwvJd7nzacs3+uNeG5erVvhf3PxHqu+6wlcXuv5ebN/pqUhPouLxGdx0Y3wWQTo1Xz8QFPGLNrvEmTpVCeUTx5oWm6lmrdt28batWvp3r074eHhbNu2zVn557333mPUqFEEBATQs2dPTCYTO3fuJCcnh5dffpnw8HB0Oh0rV66kWrVqaLVaAgICePXVV3nnnXeoXbs2zZs3Z86cOezdu5f58+cDUpWgqKgoWrRogVwu57fffiMyMpLAwEDi4+OxWCx89dVX9O3bl82bNzN9+vRyee/X65YLsAiCIAiCIAiCIAhCVRAdqOOrgS3ILDRTYLTgp1UR6qsut+AKSMGlv//+my+//JL8/Hzi4uKYNGkSvXr1AkCv1/Ppp5/y6quv4uPjQ5MmTXjxxRcBUCqVTJkyhffff59x48bRsWNHNmzYwKhRo8jLy+OVV14hPT2dhg0bsnTpUurUqQNIs2wnTpzI8ePHUSgUtGnThuXLlyOXy2nWrBmff/45n3zyCW+88QadOnViwoQJDB48uNw+g2t1y1URKgsiW/u1E5/dtROfXcW6VT5v8T5vPrfSey3JrfA5iPdY9VXG+7vZP9PSEJ/FReKzuEh8FsL1kFf2AKoijUbDO++8g0ajqeyhVDnis7t24rOrWLfK5y3e583nVnqvJbkVPgfxHqu+ynh/N/tnWhris7hIfBYXic9CuB5iBosgCIIgCIIgCIIgCMJ1EjNYBEEQBEEQBEEQBEEQrpMIsAiCIAiCIAiCIAiCIFwnEWARBEEQBEEQBEEQBEG4TiLAIgiCIAiCIAiCIAiCcJ1EgEUQBEEQBEEQBEEQBOE6iQCLIAiCIAiCIAiCIAjCdRIBFkEQBEEQBEEQBEEQhOskAiyCIAiCIAiCIAiCIFSaxMREZDIZe/fuvSH3d7VuuQCLw+EgPz8fh8NR2UMRBOEy4vwUhBuTODcF4cYlzk9BEG4GsbGxpKam0rhx48oeynW55QIsBQUFBAQEUFBQUNlDEQThMuL8FIQbkzg3BeHGJc5PQbgFGHIg8xgk74TM49LvVYzFYimxX6FQEBkZiVKprKARXZnZbC71a265AIsgCIIgCIIgCIIgVAl55+C3oTC1DXzXFaa2hoXDpPZy8u233xIdHY3dbndpv++++xg6dCgAS5YsoWXLlmi1WmrVqsV7772H1Wp1biuTyZg2bRr33nsvPj4+fPjhh+Tk5DBo0CDCwsLQ6XTUqVOHOXPmAJ6X9Bw6dIg+ffrg7++Pn58fHTt25OTJkwDY7Xbef/99qlWrhkajoXnz5qxcubLE97Vx40batm2LRqMhKiqKMWPGuIz5zjvvZOTIkbz44ouEhobSo0ePUn92VS7AUqNGDWQymdvPiBEjKntogiAIgiAIgiAIglA2DDmwZCScWufafnItLH2+3GayPPTQQ2RlZbF+/XpnW3Z2NitXrmTQoEFs2rSJwYMH88ILL3D48GFmzJjB3Llz+fDDD1328+677/K///2PAwcOMHToUMaOHcvhw4dZsWIFR44cYdq0aYSGhnocw7lz5+jUqRMajYZ169axa9cuhg4d6gyITJ48mUmTJvHZZ5+xf/9+evTowb333svx48e97q937960adOGffv2MW3aNGbNmsUHH3zgst3333+PWq1m8+bNTJ8+vdSf3Y0z/+Yq7dixA5vN5vz94MGD3H333Tz00EOVOCpBEARBEARBEARBKENFGe7BlQtOrpX6dUFlftigoCB69erFTz/9RNeuXQFYuHAhoaGhdOnShe7duzNmzBiGDBkCQK1atRg/fjyvvfYa77zzjnM/jzzyCE888YTz97Nnz9KiRQtat24NSJMnvPn6668JCAhgwYIFqFQqAOrWrevs/+yzz3j99dcZMGAAAJ988gnr16/nyy+/5Ouvv3bb3zfffENsbCxTp05FJpNRv359UlJSeP311xk3bhxyuTT3pE6dOkycOPFaPjagCs5gCQsLIzIy0vnz559/Urt2bTp37lzZQxMEQRAEQRAEQRCEsmHMv77+6zBo0CAWLVqEyWQCYP78+QwYMAC5XM6+fft4//338fX1df489dRTpKamUlxc7NzHhUDKBc899xwLFiygefPmvPbaa2zZssXr8ffu3UvHjh2dwZVL5efnk5KSQocOHVzaO3TowJEjRzzu78iRI9x+++3IZDKX7QsLC0lOTna2tWrVqoRP5cqq3AyWS5nNZubNm8fLL7/s8kFdymQyOf9RgPQ/hiBUNpPVRKYxE7PNjE6pI0wXhkKuqOxhVThxfpbM7rCTXpyOwWpArVATrA1Gp9RV9rCEW4A4NwXhxiXOT+FGJ+5zy5DW//r6r0Pfvn1xOBwsW7aMNm3asGnTJr744gsACgsLee+997j//vvdh6TVOv/bx8fHpa9Xr16cOXOG5cuXs3r1arp27cqIESP47LPP3Paj01XOPe/lYy6tKh1gWbx4Mbm5uTz++ONet5kwYQLvvfdexQ1KEK4gvTid7/Z/x/+d+D9MNhNBmiCebfYsPWv2JFgbXNnDq1Di/PQuz5jH+uT1fLnrS7KMWSjlSvrU6sOI5iOI9Ims7OEJNzlxbgrCjUucn8KNLL04nZn7Z/L7id+d97nPNXuOnjV7EqQt+6UsNz2fMKjdVVoOdLnaXaX+cqLVarn//vuZP38+J06coF69erRs2RKAli1bkpCQQHx8fKn3GxYWxpAhQxgyZAgdO3bk1Vdf9Rhgadq0Kd9//z0Wi8VtFou/vz/R0dFs3rzZZSXL5s2badu2rcfjNmjQgEWLFuFwOJyTMzZv3oyfnx/VqlUr9fvwpsotEbrUrFmz6NWrF9HR0V63eeONN8jLy3P+JCUlVeAIBcFVjjGHcZvH8XPCz5hs0tOnHFMOE7ZPYOnJpVht1ivs4eYizk/P7A4765LWMXbzWLKMWQBY7VYWn1jM6A2jyTJkVfIIhZudODcF4cYlzk/hRpVjzGHs5rEsSFjgcp/70faP+OPkH7fcfW6Z0AXBvV9JwZRL1e4qtZdD/pVLDRo0iGXLljF79mwGDRrkbB83bhw//PAD7733HocOHeLIkSMsWLCAt99+u8T9jRs3jiVLlnDixAkOHTrEn3/+SYMGDTxuO3LkSPLz8xkwYAA7d+7k+PHj/PjjjyQkJADw6quv8sknn/DLL7+QkJDAmDFj2Lt3Ly+88ILH/Q0fPpykpCSef/55jh49ypIlS3jnnXd4+eWXnflXykKVncFy5swZ1qxZw//93/+VuJ1Go0Gj0VTQqAShZFmGLDanbPbYN2PfDLrHdSfa13vA8GYjzk/P0ovTmbx7sse+fZn7SC1KJUQXUsGjEm4l4twUhBuXOD+FG1WmIZMtKZ5zakzfN51ucd1uqfvcMhMQAw/OkhLaGvOlZUE+YeUeXAG46667CA4OJiEhgUceecTZ3qNHD/7880/ef/99PvnkE1QqFfXr1+fJJ58scX9qtZo33niDxMREdDodHTt2ZMGCBR63DQkJYd26dbz66qt07twZhUJB8+bNnXlXRo0aRV5eHq+88grp6ek0bNiQpUuXUqdOHY/7i4mJYfny5bz66qs0a9aM4OBghg0bdsWgUGnJHA6Ho0z3WEHeffddZsyYQVJSEkrl1ceJ8vPzCQgIIC8vD3//8luzJgierDmzhpc2vOS1f9G9i6gbVNdr/81OnJ+SU7mnuG/JfV773739XR6o+0AFjki41VXWuWm3O5DJ8JpnTRAEce0Ubhx/Jf7FKxtf8dp/q9/nCreGKrlEyG63M2fOHIYMGVKq4IogVLaScqzIkKFVaL32C7cOtUKNUub9b1uYvvzW2wrCjcLhcDBg5r88PmdHZQ9FEARBuAohWu+za8V9rnCrqJIBljVr1nD27FmGDh1a2UMRhFKJ9o12XnyUciX+an/kMuk07BjTkSCNSP4lSIG4XjV7eezzUfkQH1j6hGKCUNWczS5m++lsNh7LILfYXNnDEQRBEK4gxi/G68PEztU633LFHIRbU5Wc/tG9e3eq6Mom4RYXoY9gZveZHM46jK/alxxjDmG6MFKLUulcrTN+Gr/KHqJwA9Cr9IxqOYpTeac4lHXI2e6j8mFGtxlE6CM8vi69OJ3zRefJMeUQ4xtDiC6EQE1gBY264uSb8sk2ZpNUkISf2o9In0jC9eHOYKVwcziSWuD874S0AtrVEnmHBEEQyprD4ZDuH4rPk2vKJdYvlmBtMAGagBJfl2fKc16LAzWBROgjiNBHMK3bNJ766ynyzRfLh8cHxvNGuzfwVfuW99sRhEpXJQMsglBVXcgjMH3/dJILkp3tbSPb0jGmY2UNS7gBRfpEMrXrVFIKUziafZQIfQR1guoQoY9AIVe4bX8i9wTD1wwntSjV2dYpphPvtH+HcH14RQ69XGUaMvly95csObHE2RasDWbqXVNpGNLQ42cjVE1ns4tQymVY7Q7OZBWLAIsgCEIZszvsJGQnMHztcDINmc72XjV68WqbV70uSc4ozuCjbR+x5uwaZ1u4Ppxvun5DvaB6LOy7kJO5J0kpSqFuUF1ifGPE8mbhliEe9wlCBUrKT2Lk2pEuwRWA7Wnb+WL3F+QacytnYMINKVQXStOwpvSv15/OsZ2J9o32GEBIK0rj6b+edgmuAPx97m+m7Z2G0WqsqCGXK5vdxuLji12CKwDZxmye/OtJ0orSKmlkQnlIyTUSFaAlWK8mOddQ2cMRBEG46aQVpfHkX0+6BFcAViSu4OejP2OxWdxeY7aZmXtorktwBaRZtE/+9STpxelE+UZxR7U76F+vP83Dm4vginBLEQEWQagAl06/TClK8bjNmjNryDZmV/DIhJtBUn4SGYYMj31LTi4hy5Dlsa/YUkxqUSqphakUWYrKc4hlItOQydzDcz32FVuL2Zexr2IHJJSr8/lGAvVqgnxUZBTcHEFCQRCEG0lCdoLLUp5L/XT0JzINmdK9QmEqqUWpFFuKyTBk8GvCrx5fk2vK5WTuyfIcsiDc8MQSIUEoZ9mGbNacXcPqM6u5t/a9XrezOWwUW4srcGTCzcJb0A7AYrdgtLl/OU3KT2Lq3qn8lfgXdux0ie3CCy1foIZ/jRu2JK7FbiHPlOe1/3Te6QocjVDeMgpMBOhUqBQyzuebKns4giAIN52zBWe99hVZiii0FPLpjk9Zl7QOGTK6xXXjqSZPebyvuCC5MNlrnyDcCsQMFkEoR4XmQr47+B3j/x3P3oy9xPrFet1Wq9Dio/KpwNEJN4uaATW99vmqfNEr9S5t5wrP8diKx1h+ejlWhxW7w87as2sZtGzQDX1jpFaoifKJ8trfJKxJBY5GKG8ZhSb8dSr8tSqyikSARRAEoazVD67vtS9EG0JCdgKrz67G5rBhdVhZmbiSk3knS0yAWyeoTnkMVRCqDBFgEYRylGPKYf6R+QAYrUasdiuNQhp53LZ/vf5eq8MIQkmifaKpG1jXY9/QxkMJ011c+2x32Fl5eiVZRvdlQwWWAn5L+M3jmusbQbg+nFEtRnnsi9BHUDfI82cgVE25xRb8tUr8tEqyC0WZZkEQhLJWw78G1Xyreewb1mQYC48vdGv/v+P/xxONnvD4mjj/OKr7VS/TMQpCVSMCLIJQjlIKU7A77M7fx2wawwcdPqBjTEdkSMsw1HI1gxoMYlCDQehVem+7EgSvQvWhfNX1KzpEd3C2aRVanmn6DPfXuR+l4uJq0EJzIeuT1nvd14bkDV7XY98I7oi5gzFtx+CruljqsVloM2Z1n0WkT2QljkwoSza7g3yDBV+tEn+diuwiEWARBEEoaxE+EXzb/VtahbdytumVel5s+SJapZZd53e5vebf1H8J1YUysvlIdEqds71tZFumd5suEtreIt59912aN29+3fvZsGEDMpmM3Nzcq37N448/Tr9+/a772OVF5GARhHJ0+dKM88XnGfbXMN5s+ybPt3gei92Cn9qPcF04PmqxPEi4dtG+0UzsNJEcUw4GqwE/tR9hujDUCrXLdiq5Cn+1v9f9+Kv9UclV5T3caxaoDeThug/TJbYLBeYC1Ao1QZogArWBlT00oQzlGyw4AF+NErlMRpHZhsVmR6UQz4UEQRDKUqxfLJPvmkyOMQeTzYSf2g9flS+j1nueMQqw7NQyJnWeRJ/afSg0F6JRaAjSBpW4dEi4uYwePZrnn3/+uvfTvn17UlNTCQi4+n87kydPxuFwXPexy4sIsAhCOQrXhxOiDXFZjpFtzGb036OpG1SXmXfPJFgXXIkjFG4m/hp//DXegycAOpWOxxo+xqZzmzz2P97o8Svuo7IpFUqifaMrexhCOcozSMvUfNRSgAWkoEuIr6YyhyUIgnBTCtAEuAVHhjQc4nEGC8DgRoPx0/jhp/GriOEJQJ4pj2xjNgXmAvzUfgRrgys1oOXr64uvr6/XfrPZjFqt9tp/gVqtJjKydDOQSxOMqQziUZAglKMwfRhT7priMoUSIEgTxCedPvEaXMk2ZHM85zgHMw+SXJCM0SpKlAplp15wPfrX7e/W3qtGL5qHN6/4AZWS0WokuSCZg5kHOZ5z3GsZaqHqyjf+F2DRKPHVSM+CLgRdBEEQhLKVbcjmRM4J532nwWqgaVhT+tbq67bt/fH30zCkYSWM8taVVpTGa3+/xr2L72XQ8kHcu/heXv/7ddKK0srtmN9++y3R0dHY7XaX9vvuu4+hQ4e6LRG6sGznww8/JDo6mnr16gGwZcsWmjdvjlarpXXr1ixevBiZTMbevXsB9yVCc+fOJTAwkFWrVtGgQQN8fX3p2bMnqampbse6wG63M3HiROLj49FoNFSvXp0PP/zQ2f/6669Tt25d9Ho9tWrVYuzYsVgs5XdPIWawCEI5ksvkNAxpyO/3/s62tG0czzlOs7BmNA1r6vUJ/Om804zeOJpjOccAaUnH4IaDeazRY4RoQypy+MJNKlgbzPMtnueheg+xOlGqDnB33N1E+UTd8DOqso3ZLDi6gFkHZmG2S3k5agXU4vM7P6d2YO1KHp1QVvINVgB81Ark/1UNzzdaK3FEgiAIN6fEvERe2fiK875TKVcypOEQBjcazKttXmVQg0GsObsGGTLnvYJYlltx8kx5vLPlHbakbHFp35yymXe3vMsnnT4pl5ksDz30EM8//zzr16+na9euAGRnZ7Ny5UqWL1/Opk3uM6HXrl2Lv78/q1evBiA/P5++ffvSu3dvfvrpJ86cOcOLL754xWMXFxfz2Wef8eOPPyKXy3n00UcZPXo08+fP97j9G2+8wcyZM/niiy+44447SE1N5ejRo85+Pz8/5s6dS3R0NAcOHOCpp57Cz8+P11577Ro+mSsTARZBKGdKuZIYvxju97v/itumFaXx5F9Pkl6c7myz2C3MOjiLYG0wgxoMQiFXlOdwhVtEoDaQQG1giSUabzQOh4N1Z9cxbd80l/ZTeacYumooC+5ZQJSv9zLOQtVR8N8MFr1GiVx+cYmQIAiCUHYu3HeeLz7vbLParcw6OIsgbRCPNniUoNAgGoV6roAplL9sY7ZbcOWCzSmbyTZml0uAJSgoiF69evHTTz85AywLFy4kNDSULl26eAyw+Pj48N133zmXBk2fPh2ZTMbMmTPRarU0bNiQc+fO8dRTT5V4bIvFwvTp06ldW3pwNnLkSN5//32P2xYUFDB58mSmTp3KkCFDAKhduzZ33HGHc5u3337b+d81atRg9OjRLFiwoNwCLGKJkCBcowJTAelF6eQYc8psnydyT7gEVy4188BMMgwZZXYs4dbhcDjINGSSXpyOwWqo7OFcswxDBt/s/cZjX7YxmyPZRyp4REJ5ubBESK9SoFdLQWWxREgQBOHKTFYT6UXpZBRnYLPbStz2ZO5Jl+DKpb478J2477wBFJgLrqv/egwaNIhFixZhMpkAmD9/PgMGDEAu9xxCaNKkiUvelYSEBJo2bYpWq3W2tW3b9orH1ev1zuAKQFRUFOnpnr8fHTlyBJPJ5AwCefLLL7/QoUMHIiMj8fX15e233+bs2bNXHMe1EjNYBKGUii3FnMw9yVd7vuJI9hGifKJ4ttmztAhvQZA26Lr2fTznuNe+XFMuJpvpuvYv3HoyijNYfWY1847Mo8hSxB0xd/BUk6eo5lcNpbxqXQJMNlOJN3tHso5wV/W7KnBEQnkpMFrRquTI5TK0KinAUmgSS4QEQRC8cTgcJBcm88OhH1h9ZjUahYaH6j1E31p9ifCJ8Pia47nivvNG56cuOZHwlfqvR9++fXE4HCxbtow2bdqwadMmvvjiC6/b+/iUTUVUlcq1mqVMJvNaNUin03lsv2Dr1q0MGjSI9957jx49ehAQEMCCBQuYNGlSmYzVEzGDRRBKweFwsD1tO4OWD2Jr6lZyTbkcyT7CC+tfYP6R+RRZiq5r/yXlkPBX+7uV3BWEkmQaMhmzaQwTtk8gqSCJbGM2S08upf+f/TmTf6ayh1dqarm6xDxEdYLqVOBohPJUaLKiV0sBQLlMhk6loFDkYBEEQfAquTCZgcsGsiBhAVnGLFKKUpi8ezIj1o4gvcjz0//aAVe475SL+87KFqwNpkN0B499HaI7EKwtv9x5Wq2W+++/n/nz5/Pzzz9Tr149WrZsedWvr1evHgcOHHDOgAHYsWNHmY6xTp066HQ61q5d67F/y5YtxMXF8dZbb9G6dWvq1KnDmTPlew8sAiyCUArpxem8v/V9HLhHUWcemEm2Mfu69l8nsI7XP5SPN3qcMF3Yde1fuLUk5iWyPW27W7vBamDK7ikUma8vIFjRwvRhPNnkSY99/mp/Goc2ruARCeWl0GhFp7qYb8pHo3DmZREEQRBcmawmfjj0A3mmPLe+hJwE9mfu9/i6+MB4r/edQxoNIUwv7jsrW4AmgHfbv+sWZOkQ3YF3279b7qWaBw0axLJly5g9ezaDBg0q1WsfeeQR7HY7Tz/9NEeOHGHVqlV89tlngDQrpSxotVpef/11XnvtNX744QdOnjzJv//+y6xZswApAHP27FkWLFjAyZMnmTJlCr///nuZHNsbEWARhFLIM+d5XaJgd9g5lXfquvYf5RvFrO6ziPWLdbbJZXIG1BvA/XXur3JLOoTK9deZv7z2bUzeSIGl/Nbtlge5TE7vmr0Z3HAwCtnFL9/RPtHM7jGbKB+R4PZmUWSWlghdoFUpKDSVnEtAEAThVpVnymP1mdVe+5ecXILZZnZr93bf+XDdh3mgzgPivvMGEekTySedPmFpv6XM7z2fpf2W8kmnT4j0iSz3Y991110EBweTkJDAI488UqrX+vv788cff7B3716aN2/OW2+9xbhx4wBc8rJcr7Fjx/LKK68wbtw4GjRowMMPP+zM2XLvvffy0ksvMXLkSJo3b86WLVsYO3ZsmR3bE5nD24Kmm1R+fj4BAQHk5eXh7+9f2cMRqpiTuSfpt6Sf1/6Z3WdyW9Rt132cjOIMso3ZFFuLCdGGEKwNxlfte937vdGJ87NsfbHrC2YfnO2xT6fU8Ue/P7yuy76RFVuKyTJkkWnMRKfUEawNJlwfXtnDuqlV9Ln5/M97OJ1RyFv3NARg3JKDtKwexCcPNi33YwtCVSOunUJGcQaPLn+UlKIUj/29avTio44feQ2Y3Kr3nULFmz9/Pk888QR5eXlXzJ9SVYmwpCCUQqAmkDqBdTwmBdMpdVT3q14mxwnTh4lpmcJ161Wjl9cAS7/4ftedlLmy6FV69Co9sf6xV95YqJKKjBY0lywRkmawiBwsgiAIngRrg+lfrz9f7v7SY//D9R8ucTaKuO8UyssPP/xArVq1iImJYd++fbz++uv079//pg2ugAiwCMJVsdqsZBgyKLIUMbHTRH4/8Tu/JvyK0WZEhozucd0Z1mQYRZYikguSCdGFoFN6/8NhsBjINGZisprQq/SE6cJQKVRetxeEq1FkKSLbmI3JasJH5UO0bzRDGw91C7JU86vGsMbDKDQXkmvKxYGDAHUAofrQShq5VGY5z5SH3WHHX+0vbvRucYVmm7N6EIBWJRcBFkEQBC8UcgV9avVhxekVJOQkuPTdV/s+agbUxGKzkGHIoNhSjFapJVgbjF6lL5fxFFuKyTJmYbQa8VH5XNV9rt1hJ6M4gwJzASqFiiBNEP4aMSOrqktLS2PcuHGkpaURFRXFQw89xIcffljZwypXIsAiCFeQbczmj5N/MGPfDAosBchlcrpV78b3vb5n1v5ZDKg/gE3nNjF4xWCMNiMquYr7at/Hc82f87hs4XzReb7c/SUrT6/E6rCiV+oZ1mQYD9R9oMQKKYJQkrSiND7b8Rmrz67G7rDjp/LjmWbP8Ej9R+havSu/JPxCnimPXjV70SayDRnFGYzdPNY5G6umf03ebf8ujUMbV2i1KpvdxvHc44zdPJaj2UcBiPWL5d3b36VZWDM0Sk2FjUW4cRSZrET6X1yfrVUpKBIBFkEQBK8ifCL4uuvXHMw6yJITS9AqtTxc72FqBtTE4XDw3YHvmHtoLsXWYpQyJb1r9WZUi1FlvlQ4rSiNL3d9ycrEldgcNnxUPgxrPIz769xPiM7zfW6+KZ9/zv3DxB0TyTJmAdAush3jbh9Hdf+ymR0uVI7XXnuN1157rbKHUaFEDhZBKIHVbuWnIz/x6c5P3foahzZmSpcpfHfgO346+pNbf9fqXXm//fsu0fdsYzajN4xmx3n3EmXDmw3nySZP3tIzWcT5eW2yDFmMXDeSg5kH3fpebf0qgxoMQoYMGzZUchVn8s/w4NIHMdqMLtsq5UoW9l1YYrnwspZUkMSDSx+k2Frs0q6QKfi1z6/UDa5bYWMRvKvoc7PLZxtoGOXPo7fFATBn82nOZhez8sVO5X5sQahqxLVTuJzFbkGGDKVcidlmZsb+GXy7/1u37W6Luo2JnSaW2ZLhbEM2L298mV3nd7n1Pd/ieZ5o9ITH+9yNSRsZuW6kW3uEPoJ5vedVSDJXQSgrooqQcEPLN+WTa8zF7rBXyvEzijOYsX8GSrmSu+Pu5pmmz9C/Xn8CNYEczDxInimPX4/96vG1a8+udSvbnFmc6TG4AjDn0ByvFYoEoSSpRakegysAM/bPIN2QjlwuRyVXYbVZWXhsoVtwBaSA4txDczFZTR73ZbFZyDHmUGRxLe9ssprIMeZgtLrvsyQ2u41lp5a5BVcAbA4bM/bPoNji3ifc/Io9VBEqMosZLIIgCFdid9gpMhc5r60Zhgx+OPSDx23/Tf2XLENWmR07w5DhMbgCMOvALI/3uZmGTCbtmuTxNeeLz3Mk60iZjU8QKkKVXCJ07tw5Xn/9dVasWEFxcTHx8fHMmTOH1q1bV/bQhDKSUZzB7vTdzD8yH5PVRK+avehRowdRvhVbhrXYWkx8YDxPN32aVYmr2JC0gXB9OG+0e4OE7ARyTDlY7d5v+jMMGdQIqOH8/WzBWa/bGqwGCs2FZTh64VZRUnnwfHO+S5Ci2FrM7vO7vW6/L2MfhZZCl6U5NruNc4Xn+O3Yb2xN2UqoLpTHGz9OfGA8OcYcfjj8A0eyjlDDvwZPNH6CGgE18FH5XHHcJpuJHWmeA44ABzIPUGQpKrc14sKNq9hkQ6N0TXJbJMo0C4IglCi1MJW/zvzF8lPLUSvUDGowiOr+1T0+VLngXOE54oPiy+T4Z/LPeO0rthZTaHG/zzXbzJzOO+31dbvSd9GlepcyGZ8gVIQqF2DJycmhQ4cOdOnShRUrVhAWFsbx48cJCqqa1TAEd5mGTMZuHsvmlM3OtsPZh5l/dD7f9/yeaN/oChuLXqlnSKMhvLD+BUw26al+Qk4Cm85t4skmT+KvLnkq7uX9oTrvSUTlMjlaZdnVhBduHeE67yWKlTIlGsXFYIlGoSHKN4r9mfs9bh/pE+myPUgBnEeXP+p8GpaQk8DmlM0MaTgEm93G4hOLne2rzqziozs+okeNHlfM5aJWqKnmV43tads9vy99eIXmgxFuDA6HA4PFdtkMFjnFYgaLIAiCVymFKTy+8nFSi1KdbXsz9jLz7pnIkOHAc1aIYG1wmY2hpAT1cpkcncK9AIRCpiBQE0iuKdfj62J9RcVAoWqpckuEPvnkE2JjY5kzZw5t27alZs2adO/endq1Ky5ngFC+juccdwmuXJBWlMaCowuw2CwVNhaFTMHXe792BlcuNfvgbHRKHa0jPM+cqulf0+2iFeUTRYTeczKxLrFdyvQiJ9w64gLiCNJ4DjL3qtnLJamcRqlhSKMhXvf1ZOMn8VX7On/PM+Xx4bYPpaR4ciUR+gj8VH4AfH/4e26PuR2FTOGyj/H/jifTkHnFcSvlSh6p/4jX/meaPkOAJuCK+xFuLmabHavd4TqDRanAaLFjs99SaeMEQRCuitVm5deEX12CKxdsOreJjtU6enxdlE8U4T7eH9KUVrRPtLPAg4/Khwh9BGq59KCka/WuHu9zfVW+DKg3wOP+VHIVrSPFCgWhaqlyM1iWLl1Kjx49eOihh9i4cSMxMTEMHz6cp556yuP2JpMJk+nil+P8/PyKGqpwDWx2GwuPLfTa/8epP3i04aMeq/OUJN+UT7Yxm4TsBHQqHbUDahOmD/P6dDzHmENGcQYmm4ljOcc8bmN32EnISeCDDh8wYt0ITuaedPZF+0Qz5a4pbpH8CJ8IpnWbxjOrn3FZh9o4tDFj2o5x+WJ7KxDnZ9mI1Efy7d3f8syaZ1zy/rQKb8WolqPcSobX8K/BW+3e4pPtn2B1SLMC5DI5I5uPpF5wPZdt8835HMg4wKgWo4gPiicpP4lAbSAahYbvDnzHocxD1A6s7XKeGKwGzhedv6rZZjF+MYzvMJ73tr7nXG4nQ8bTTZ+mSWiTa/5MhOtTmeemwSwtBdJcNoMFwGCx4aupcrcuglCmxLVTuFy2KZs/T/3psW/hsYVM7zadzOJMDmcfdrZH6KV7Um8P/uBiueWE7ARkyKgbXJcQbYjXpbsRPhHM6j6LhJwEbHYbmYZMYvxiMFgMtIlsg4/afflwvjmfOP847qp+F+vOrnO265V63mn/DnvO76nQ5PuCcL2q3F3KqVOnmDZtGi+//DJvvvkmO3bsYNSoUajVaoYMcX8qO2HCBN57771KGKlwo8gyZjFt7zR+SfjF2aZRaPik0ye0j2qPTuX65TO9OJ1xm8exOWUzn9/5eYn7ttqtxPjF8N3d35FWnMbZgrNE+UQR7Rvt9YJVJ6gOP9/zM8mFyZwvPk8N/xpE6CO8lq67mYnzs2zIZDLqBdfjlz6/kFSQRKYhk5oBNQnXhROs8zwrKlIfyeQuk0kpSsGBg2q+1TBajR6nEH/c6WN+S/iNKXumONv81f683+F9sg3ZbtuXhq/Kl541etI6ojXHc49jtVmpF1yPYG3wLRdwvJFU5rlZfCHAcskMFo1K+u9ik1UEWIRbnrh2CqVRbC3m12O/8nXXr0k3pJOYn0ikPpIY35gSSzTnm/JZdHwRk3dPxuaQ/i4rZApGtx7NvbXvdamSeSmL3cIn2z9xeZDYNLRpiTNR3t3yLkMaD+GBOg9wJv8Mfmo/fFQ+fH/oe9pFtrvGdy4IlaPKlWlWq9W0bt2aLVu2ONtGjRrFjh072Lp1q9v2nqL8sbGxopTdDWxrylaeXv20x76hjYcysvnIUpUyXnpyKW/985Zbu1wm5/f7fqdWQC1nm9lm5otdXzDvyDwAXmn9Cn+c/MPjLBa5TM4f/f6gun/1qx6L4Eqcn5XjQMYBHlkuLc0J0YYgl8mdN0Kzus+ibVRb57Z5xjy+2vuVS4DyAr1Szw+9fuDhPx923nwB6JQ6Ft+3uELzJQllqzLPzRPphXT7fCPv9GlI/SjpWIdT8hi/7AgbRt9JjdArJ1AWhJuZuHYKl7ParEzdO5VZB2d57J/ebTodYjqUap+7zu/i8ZWPe+yb12sezcKbubWfLzrPI8sfIb043a3v7ri7Gd9+vNssliJLEWP/Gcvqs6tRyBSE6kIxWA3km6WZWb/2+ZUGIQ1KNXZBqExV7jFQVFQUDRs2dGlr0KABixYt8ri9RqNBo9F47BNuTHWC6tAhuoNbHpZIn0gervewM7hSYCog35IPDvDX+OOn9nPZPs+YR545j5n7Z3o8jt1hZ9mpZTzf4nlnW6Yh02WJ0oKjC3itzWvM3D+T++LvI1gbjNVuZVXiKpqHN78lZ52UJXF+XnSh/LFcJidIG+S2rKesmKwmvj/8PTE+MbzY6kXi/OMAqfLAF7u/4LuD39EwpKFz9kiRtYilJ5d63FextZgj2UcI04eRVpTmbB9729gSEzoLN77KPDcvLhFyn8EiSjULgrh23irsDjsZxRmYbWbUCjVh+jDkMs/pM5UKJf3r9Wf56eVueVhuj7rdbfnvlRRZiph1wHOwBmDuoblMCJ5AoaUQg8WAUq4kRBdCSlGKx+AKwNqza3mp5UtuARYflQ8vtHqB7ee3k2fK43zxeWff/fH3E+VTsRVEBeF6VbkAS4cOHUhISHBpO3bsGHFxcZU0IqGshepCGd9hvHuZ5po9iPKJwuFwcDrvNBN3TGRLyhYcOLg96nZea/satQJqYbfbOZ57nAnbJvBA3Qdc/lBf7nTeaRwOBzKZDJBmsFxayu5c4TlSClN4tOGjTN0zleTCZPRKPf3r9adnjZ5XVYpWEEpispo4kn2ECdsmcDj7MEq5kl41ezGi+QhifGPK/ng2ExHaCIZ1Gcbk3ZOd51CbyDZM6DiBFadWYLKZ8EUKsFjsFgxWg9f9ZRuz+V/8/1h3dh1x/nEMbTyUGgE1RPUf4ZpdqBakUV6Sg+W/5UIXgi+CIAg3s2xjNstPLee7A9+RZcwiRBvCk02epHfN3l6X/obpwphx9wxWnl7JhqQNqBVq7q19L7dF31bqhx5mm9nlwcnlGoQ0YGvKVj7b+RlnC86iU+p4vNHjLrPCL2d32DHYPN9PVPerzoJ7FrD4xGI2Jm/ET+3HE42eoFFoIwK1gaUauyBUtioXYHnppZdo3749H330Ef3792f79u18++23fPvtt5U9NKEMhenD6FGjB7dH3Y7dYcdf4++M2p8rPMejyx+lwFLg3H5r6lYeXf4oC/ssxGQ38ejyRzHbzbSKbEWD4AbsTt/t8Tjto9o7gysgLW0I04U5l0s0D2sOwJhNY5zbFFuLmXtoLidzT/LhHR8SpBUlwoVrdyL3BI+vfNy5xMZqt/LHyT/Yc34Pc3vOLXF99LXQK/XcX+9+Bq8Y7Jx+C7AjbQdDVw1lfu/5+Kou5j7RKrSE68O9PpFqGtqUJqFNGFh/IDqlTpQaF66bwXIhB8vFAMuFhLdFIsAiCMJNzmA1MPfgXOYcmuNsyzJm8cmOT8gozuDZ5s96nOV6Jv8M/f/sT5PQJrSPaY/FbuGHwz8wbd805veeT5Tv1c8E0Sv1NAtvxvHc4259DYIbEOkTyaj1o1zGPPPATKbeNbXEfV56f3EpmUxGNb9qPNvsWQY1GIRKrhJ52IQqq8qVaW7Tpg2///47P//8M40bN2b8+PF8+eWXDBo0qLKHJpQDf40/gdpAZ3DFarey+MRil+DKBUWWIvZl7mPm/pmY7WZaR7Smhl8NXmvzmscStoGaQG6Pvh2b/eINe7g+3GXJ0IN1H+S7A995HNumc5vIKM7w2CcIVyPflM8Xu75wyV9yQXJhMgczD5b5Me1IS+MuDa5cYLAa+OXoLy7jCdeH80KLFzzuq6Z/TeL849AoNWgUGmcpRkG4HkaLhyS3/wVbxAwWQRBudlmGLH48/KPHvh+O/ECWIcutvdhSzPR907HYLexO3813B77j+0Pfk5ifSIYhw23Z/ZVolBoGNxyMSq4iQh9Bn1p96FOrD2G6MAbUH8DUPe6BFKvdyvHc47SKaOVxn8OaDCNMF+ax7wKlXImvyrfclkkLQkWocjNYAPr06UOfPn0qexhCJSi0FLIpeZPXfpvdxqm8Uyy4ZwGJ+YmsSlzFpnOb+KjjRyQXJPPx9o+xOWw0C2vGG23fYPbB2RhtRgbUG0CsXyyB2kC6VO/CWPtYpuyZgk6pI8vofiG74GjOUeoG1y2PtyrcAoqtxew6v8tr//qk9XSN61qmx8wz5bEtdZvX/u3nt5NrynWWYJTJZHSq1om3273N1L1TyTXlIkNqe7PdmxRaClmwZwFHso5QM6Am/eL7Ee0bLZbPCdfsQhUh9aUzWC4sEbKIHCyCINzcso3ZWB2e/9ZZ7VZyTDlU86vm0l5gLmB72nav+1yftJ57a99bquW71Xyr8Vuf3ziYdZD1SesBeLnVyzQKbeQxyAPwzd5v+Ln3z8w8MJOViSuxOWz4qHx4otETPFDngRKLVKQWpbI9dTt/nfmLEG0I/ev1J9YvlgBNwFWPWRBuBFUywCLcutRytde1pwA2h42POn7Em5ve5Ej2EWf7qjOr6FWjFwvvXQgO2JK6hRFrRziDJ0tPLmVo46EMbTyUQE0gD9R5gI7VOlJkLkKGzGPpWoBgjfexCMKVyGVyAjQBXoN4Zb08CKQS5SXdrARpgtxuwPLMeWxN2cqYtmNQyVUo5UrSi9NJK0rjmdXPOPMWbTq3iZ+O/MTnXT6nfVR7NEqRhFEoPYPFhlwGKsXF5ZsqhQy57GLwRRAE4WalUZR87dTI3fuVciWB2kByTDkeXxOmC0MhU3js8ybXlMuE7RPYlnbxoczas2vpEN2Bt9q9xTtb33F7TYvwFhzLPYZepWfSnZOw2W3YHXbWnllLliHLa3GIc4XneGLlEy4Jen8/8TvPNXuORxs86rUktCDciKrcEiHh1qZX6RnSaIjX/hZhLVh3dp1LcOWCFYkrSCtKY82ZNXy641O3L7WzD87mfJGUEFchVxDlE0WkTySdYzt7HotST61A78m8BOFKQrQhDG442Gt/75q9y/yY/hp/Hm3wqNf+QQ0GuSTDKzQXMnHHRNYmrWXMpjG8svEVXlj/AvWD6/PWP2+5JIUGsDqsvP3P2yUmlxaEkhjMNjRKhUt+LJlMhkapEEuEBEG46QVrg50V/i4X5x/n8UFjiC6Exxs97nWf/ev1RyEvXYBle9p2Z3BF9t//AdJyI5mUmBZwqWw0sP5Axm4ey2/HfuPF9S/yysZXePXvV1l5ZiVvb36bbGO223GMViPT9013q34EMG3fNNINnnPACcKNSsxgESpNelE6WcYsTDYTIboQQrQhzmUJFquF1OJUaZqk3UqYLsz51FwpV/L7vb+zInEF3+6/mNx4QP0ByOVylpxY4vWYi44ton10e6/9KxJXuCz58VX7MqbNGE7nneZM/hlnu0ah4Zuu3xCuD7+ej0C4xSnkCvrW7su/qf+yNXWrs12GjPfav0ewJpgz+WfINmbjo/QhWBdcYiWAlMIUck25FJmLCNYFE6gJJFgbTHqxdK6ZbWZCdaHUDKzJow0eZd6ReS6vv6/2fTQLa8a5gnNkGjKltdBqX6+5hpILkz2255vzyTRkYrKZKLQUEqQJIkQX4lZKXRA8MVpsLgluL9Co5GIGiyAIVY7NbiPDkEGWIQurw0qoLpRQbajXWZ5h+jC+vPNLhq4a6jIjJUgTxJd3fun1PqBTtU50q96NNWfXuLS/3OplqvlW8/gab/JMefx89GfaRbajf73+zoC3w+Hg56M/s+zUMka3Ho1CrqDYUoxGqSHbkI1KrsJkM3nc55HsIxhtRs7mnyXLkIUNG6HaUFQKFctOLfM6lrVn1hIfGF+q8QtCZaqwAIvFYiEtLY3i4mLCwsIIDhZLK25Vdoedo9lHGbVulPMpt1KmZEijIQxuNBitQsue9D28sekN54VFo9AwrPEwTDYTsw7OQqfU8VLLl/ip90/sPL+TO2LuIFwfTr453+sfdpBK1JY0RbLIUuTWFuMXw+weszmdd5q96XuJ8YuhRVgLIvQRKOUiRilcnzB9GBM6TiC1KJWtKVvxU/vRPro9GoWGSbsmsfTkUucStZr+NZl812RqBtR028+JnBO8svEVTuWdAqQgTc8aPXm+5fM8+deTpBSmANI04qeaPMVjDR+jX3w//k7+G5vDRqdqnQjSBLEqcRWTd0/GbDcD0iybMW3H8Nux31zWd3tKzHupDEMGT/71JBa7BYDucd15ve3rIigpXJHBYnPJv3KBVqkQARZBEKoUs83M7vTdvLbxNZd72pdbvUyfWn28Ln2JD4rnlz6/cCT7CMdyjlE3qC4NghuUWAlIJVfxSINH6Fu7L/sy9qFWqGke1pwgTVCpK/zZHXbaRrQlzCeMcVvGOe+PfVW+vNTqJeID41lyYgmLTy7G7rADUMO/Bp90/IRqftVILnB/APN0k6dJyE5g7Oax5JnyAKlS4ewes533Cp4UW4tLNXZBqGzl+u2woKCAefPmsWDBArZv347ZbMbhcEiluKpVo3v37jz99NO0adOmPIch3GBSi1IZumqoSzDD6rAy6+AsqvlVo0V4C0auG4nVfjHBl8lm4pt93/BBhw+I9okmpSiFj7Z/xHfdv+OJxk84t1PJVdwVexc/J/zs8dj31LqHM3lnPPYB9KjRw2N7uD6ccH047aLalfbtCsIVhehCCNGF0Di0MSDdkH2992uWnHSdjXU6/zRP/fUU83vPd8nPkpSfxIi1I0gpSnG2OXCwInEFAZoAHm3wKBN3TASkBHnT9k2jul91+tTuQ73ges7XbEzayKc7P3U5ZpYxizf/eZMpXaawI22HM9ijU+rwV/t7rEakkqvQKDQuN0x/nflLmhHWdoyoDiCUyGixe57BopQ7KwwJgiBUBSmFKTy35jm3e9oJ2ydQM6Amt0ff7vW1Ub5RRPlGcVf1u67qWIezDvP06qfRKXXEB8ZjsVv4dv+3yGVyfr/3d2oE1LjqcQdoArgt5jaGrRrm0l5oKeSfc/+QUpTC/534P5e+xPxERq4byejWo3l90+sufVq5lm5x3Ri4bKDLAxqjzcjqM6u5Leo2/k391+NY7oq9uvcvCDeKcsvB8vnnn1OjRg3mzJlDt27dWLx4MXv37uXYsWNs3bqVd955B6vVSvfu3enZsyfHj7vXWRduTrvP7/Y4UwRgW+o2lp1a5nIhAmmGS7fq3dApdXx4x4fcV/s+NAoNM/fPJLUwFZNVmrVitVvpUbOHx7LM8YHxRPpE0ie+j8cveO0i23ld8yoIFSnTkMnPRz0HCc8Xn3dZrgbSUp1LgyuXWnxiMa0jWru1zzowi+zibM7mnyUpP4n04nS+3vu1x31Y7Ba2pW1zKb245MQSRrce7XH7Jxo/wZ+n/nRrX3pyqdfKA4JwgbcZLGqlnGKzqCIkCELV4HA4WHpyqds97QVf7/2aXFNumRwrz5jH13u/JkgTxJi2Y3iz3ZuMbTeW55o9B0jXX4fDc8EGT4xWI78c/cVjX8+aPfn5iOd7lAxDBmqFmkBNoEv7E02eYPGJxR5nv/5+4neGNR7mMbnvHdF3uFVMEoQbXbkFWHbs2MHff//N9u3bGTt2LD169KBJkybEx8fTtm1bhg4dypw5c0hLS6Nfv35s2uS99K5wczmafdRrn1qh5niua7AtVBfKV12/IkgbxHtb32PE2hGY7Wam3DUFh8NBckEyn+z4hOSCZIxWI5N3T+bjTh/zv/j/EaINIconiicaPcGoFqOYd3ge6xLXMav7LPrW6kuwNpjqftV5s92bTOg4ocT8FoJQUYxWIwarwWv/2YKzLr8nFSR535fN6Fzuc0HjkMZ82vlTvtr3FQP+HMBDfz7EsZxjbvu9/JhdYrsQpAmidmBtGoY05Lao25jVfRatI1oTqAmkcWhjvrzzSwBWJa5y24fVbqXYIqb6CiUzmj0HWDRKkYNFEISqw2wzl3jPezb/LGab2Wt/aRhtRmr41WBm95lsSdnC0FVDGb5uOHmmPH7r+xs5xpxSHctoM3I677THPqVMWeKynfTidD7t/Cn1g+sTqAmkQ3QH7q11r9f95ZpymX9kPj/f8zP31LyHIE0Qcf5xjL1tLO93eN9r5SFBuFGV2xKhn3/2HNm8nEaj4dlnny2vYQg3oEYhjbz2mW1mGgY3ZEPSBmfbW+3e4sN/P3RJqLni9Ao2n9vMV3d9RVpRGr8d+411Z9cx/575qOVqRqwdQdfqXXm22bNY7BY2Jm1kzqE5DGowiC1pW/h639c81ugx5vWeh06pI0Qb4lKxQhAqk1apxUfl43Wm1+U5WGr41/C6L51Sh1ruWnb5/Q7v8+yaZ10q/RzMPEjNgJoczDzocT9NQpvwUL2H6FmzJwqZwnnDE+UbRc2AmhisBjQKDXmmPF7c8KLHfajlamcia0HwxmCxoVZ4nsEiqggJglBVqBVqGoc2ZtM5zw+RawXUQqsoXW4Ub7RKLUMaD2HwisEUWgoBMFgNzDsyj83nNvNFly9QK9RX2MtFOqWOOoF13B56gjSr1U/lR4GlwONr4wPjaRvVlm/v/hazzYxepUer0FInqI5LQv9LGawGgjXBjLt9HIWWQuQyuXjoKVRZokyzUOGahzfHX+2e1EspU3Jf/H30i+/nTITZILgBifmJHquV5JvzWX1mNbvO7wKkXBFrzqxhePPhWO1WViWu4sNtHzJxx0S2pW1DJVdxR8wdbEvdhtFmZNGxRWQbsgnVhYrginBDCdOFeS3fHOMbQ6xvrEtbtG+0s1zi5R6q+5DLDc0DdR5gY9JGtzLKReYinmj0xOUvB6QkdB1jOqJT6gjXh7s9TQrTh1HdvzoRPhEE64KpE1gHgHpB9bg96nZn9YIH6z5ImC6shHcuCFIVIZWHAItGqcAgcrAIglBFyGQy+tTq4/aQ44KRLUZ6TXJbWgqZgrkH5zqDK5c6nX+aA5kHSnWvq5ar6V+/PzJk6JQ62kS2oU1kG3RKHctOLfN6jxLlE+Vcbh+kDSLCJwI/tR8qhYr/1fkfKrnK4+ueafYMIXqpmmi4PlwEV4QqrUJKoBiNRr766ivWr19Peno6drvdpX/37t0VMQzhBhHlE8XcnnN5ecPLJOYnAvBw3YfpU7sP21K38W/Kv4zvMJ6M4gyOZh/l3xTPSa8A1ietZ0D9Ac7fl55cSu+avfnojo+YsG2CM7oeoY/g1TavMvvgbHRKHaNbj0aj0LDs9DJ2pO2ga1xXwvRh+Kp8y/W9C8LVUClUPFzvYfLN+fxy9BesDmn9dsPghnza+VPCfVwr8VTzq8bUrlN58583nTNQlDIl/eL7MaDeAJ5b85xz2zti7mDuoblux6wRUIOEnATeaPsGU/ZMcc6eifKJ4p3b32H5qeXUCayDXF5yXD5UF8rXXb/mbMFZ9mXsI60ojbuq30V8YDw1A2p6LUspCBcUmz2XaVYr5eQZvFeaEARBuNFE+0TzXY/veHXjq84HG74qKeH7pUnmr1eOKYfNKZu99q85s4YecT3Qqa4uyXy+OZ/1Z9czp+cc8kx5bEvdBsBjDR4jQBOA2WZmcMPB/HT0J2eOmfrB9fms82cEa4NJLkhmc8pmEvMSaRXRisahjanmU42vu37N25vfJr04HQA/lR+vtnmVWgG1rvMTEIQbR4UEWIYNG8Zff/3Fgw8+SNu2bcVsgVucTCajTlAd5vSYQ44pBxkyNqds5rEVjzm3+f7w9zQLa8aEjhP4bMdnXvflo/JxJrgF0Cv1aJVaetXsReuI1mQaMsk0ZJJjymHGvhmczDvJl3d+yfT90zmcddj5usl7JvN2u7e5p/Y9Isgi3BBCdCGMajGKQQ0GkWfKQ6fUEawNJkjrnsAZpGVDX3T+gjxzHsXWYgI0AQRrggnUBjKnp3SuWWwWQrWh6JXuy3TMdjMNQxqy+/xu3m//PjKZDIVMQbYxm2M5x4gPir+qv91Wu5VzhecYvma4S+6XMF0Yc3rOEWuphSsyWmwE+7g/8dWIJUKCIFQxSoWSFuEt+Omen8g2ZmOz2wjWBhOmC0OpKLuvYTJkUvDE6LnfR+WDQq646v0pZAoahDTg56M/u+RU++noT9xT6x46xnTkqSZPMbD+QHJNueiUOoK0Qfir/dl9fjfPrXnOeQ8w78g8wvXhzO4xm3aR7ZjbYy555jysditB2iAifSI9JrgVhKqqQgIsf/75J8uXL6dDhw4VcTihigjVhxKqD+V4znE+2+keRNmXsY9lp5bxdNOnWZe0zuM+etfs7fKH/7GGj+Gn9gOk3BDh+nBmHpjprI7SuVpn/k391yW4csEH2z6gTWQbfANFgEW4MehVevQqPbF+sVfeGIj0jSSSSLf2MH0YYfqLS3P61+vvtg46MTeRAnMBPxz+weO+5/Wed1UBloziDJ5f97xbYt0MQwZj/xnLV12/IkATcDVvR7hFGbwuEZKLJUKCIFRJ4fpw5/L38hDpE8n9de5nyu4pHvsfrPNgqXKw+Gv8UcgUHhPWLzu1jO5x3QnUBhKoDXSp8pNSmMKo9aPc7gHSi9N5Z8s7TO4ymVj/WGK5uvsaQaiKKiQHS0xMDH5+fhVxKKEK8lTO9YKfj/5MoCaQfvH93PpaR7Qm0ieSI9lHAOgS24WW4S1dtlHIFfwv/n80DGkIwN1xd/PHyT+8Hu+vxL+u4R0IQsUqthSTVJDE0eyjJBUklboyT8OQhnSr3s2lLdY/lkXHFnl9zdITS8k2ZHM0+yiJeYnkmfI8bpdUkORxDTjAnow95BhzSjVW4dZjtNg9LhHSqEQOFkEQBE+UciW9a/SmSWgTt74H6zxIrH8sJquJ5IJkjmYf5Wz+WQrNnq/VAAWmAhYkLPDav+DoAorM7on4kwqSvCbo33V+l7gHEG4JFTKDZdKkSbz++utMnz6duLi4ijikUIVkGbK89uWb85HL5AxuOJgusV1Yn7Qeq91Kjxo9iPaJ5peEX+gX349+8f2o4V/D4/KDCJ8IvrrrK47lHEMtV3v98geQacgsk/ckCOUlvTidqXum8sfJP7A6rChkCu6pdQ8vtHzhqp+ORftG81qb1xhYfyB/nPoDu91Om8g2fLP3G6+vyTJm8cWuL1h8cjEgBTjf7/C+2+yaArPnqgIXWOwih4ZQMqPFe5lmo1giJAiC4FGMXwyfdvqUE7knWHF6BVqllvvi7yPaJxqFXMHkPZP55egvmO1mZMjoUr0Lb7R9g0gf95mvFoelxOt5njkPi8P9ep5vyi9xjJfPbBGEm1GFBFhat26N0WikVq1a6PV6VCrXDNLZ2dkVMQzhBtUtrhtLTi7x2Hdb5G1Y7BYGLhuISq6idWRr5DI57255F6vdyrze86gRUOOKx7gwNTPflE/ryNbsSNvhcbu7qt91PW9FEMpVobmQSTsnsfz0cmebzWFj6cmlFFuKeb/D+84lclcS5RtFlG8UbaPaAlBkKeK2qNtYfXa1x+3bRLZhwdGLT7N2nt/J0389zfe9vncJ7NQK9J6oLkgTdNXjE25dxpLKNIsZLIIgCF7F+MUQ4xdD59jOzjaj1chXe77ix8M/OtscOFh3dh05hhy+vOtLgrXBLvvxV/nTuVpnjuUc83icu2Lvwk/lfj2vGVDT69iCtcEeXyMIN5sKCbAMHDiQc+fO8dFHHxERESGS3AouGgQ3oFZALU7lnXJpV8qVvNDqBZacWILJZsJkM7EhaYOzv2V4S/Zn7Eej0BDhE4Fc5npDbrPbyDXlIpPJnBcOf40/o1uPZtCyQc7KLBfUDaxLfFB8ubxHQSgLWcYsVpxe4bFvzdk1vNjyxVIFMOx2O2nFaYCUhHZEixFsTN7o9oSpml81QrQhzqpfFyQXJnM677RLgCVEG8J9te/zGDR9pfUrokyzcEUmq93rDBar3YHFZveYo0UQBEFwl2nIdHlAcqk9GXvILM4kWBtMnikPi92Cn8oPjVLD/XXu55eEX8g3u85KCdQE0qdWH49Jc+UyOT3ierDqjHvulqeaPHXFSoSCcDOokADLli1b2Lp1K82aNauIwwlVTIRPBDPunsHsg7P5/fjvGG1G2ka2ZXTr0YTrwtmd7lrGO1ATyHvt3+NQ1iFmH5rNrIOz6Bffj141ezmnOaYUprD4xGJWnF6BWqHm4XoPc2fsnYTrw6kdWJt5vefx6c5P2XV+FzqljgfrPsjghoPLNQGZIFyvfHM+Dhxe+3PNucRxdcswkwuSWZW4Sloi5LDTq0Yv+tTqw6K+i5iwYwJbU7aiVqjpW6svXat35e3Nb3vcz5HsI7SLauf83V/jz4utXqRuUF1mH5xNljGLmgE1ebnVy7QMb1mqKgbCrcdud2Cy2lF5KtOskP7tGL0kwRUEQRDcFVmKvC7NkSHD5rCx/ux6Zh2cRbYxm7aRbRnSaAjVfKsxv/d8vtrzFWvPrkWGjLvj7mZEixHE+MV43N/J3JMMbDCQ+iH1mXd4nvMeYFSLUWQUZ5BnyiNCH1Geb1cQKl2FBFjq16+PwWCoiEMJVVSkTySjW49maOOhOBwO9Co9AZoATBYTsb6x7Dy/07ntuNvH8eXuLzmdd9rZ9vmuz1l0fBHfdf8Ou8POYyseI7043dk//t/xLDmxhC+6fEG4PpxGoY2Y3GUyxZZi5wyX0mRXF4TK4KP0KblfVXL/BUkFSYxaN4oTuSecbd/s+4alp5bybbdv+azzZxSaC5HJZMiQ8cDSB8gze05qG+fnHtAJ1YXyaMNH6VmjJ1aHFbVCTagu9KrGJtzaTFY7ABqleyBOo5KCKgazDT+tyq1fEARBcKdT6pDL5Ngddre+Jxo/wcJjC/n12K/OtqSCJP489Sc/9vqRBiENeL/D+4xuMxoZMvzV/uhVeq/HivOPY/np5ezL2MeolqPwVfmSWpTK1D1TeabZM2KZsHBLqJBHQB9//DGvvPIKGzZsICsri/z8fJcfQQBQK9RE+kQS5RvlLOOqUWkY3GgwKpl0M90wpCGJeYkuwZULzuSfYe3ZtWxM2ugSXLlgf+Z+DmYedP4eoAkgyjeKSJ9IEVwRqoQgbRAtwloA4K/2p3Zgbee50ji0MSEa9yTPnmw5t4UTuSeQIaO6X3Xi/OOQy+QkFySz4vQKdEqd89wI1gbTv15/j/vxV/tTL7iexz65TE64TzjRvtEiuCJcNeN/OVY85WC5UFnIaHH/kiAIgiB4FqwNpmv1rgD4qnypFVCLYG0wSrmStpFtXYIrF5hsJj7c9iG5plx8VD5E+Uj3BCUFVwBUChVzD81l5/mdvLPlHV7Z+Aqf7fyMk3knmbJnCjKHSBMh3PwqZAZLz549AejatatLu8PhQCaTYbOJpHVVncVmIaUwheO5x0kpTKF5WHP8Nf4k5ieSXpxOg+D6RKsDCUk7AvnnIKYl+MeAr+d8DAaLgUxjJvsz9lNsKWZur7n8nfw3ZpvZJQ/L5RafWEzPGj299i86vogO0R0othaTXpzO/sz9+Kv9aRzSmFB9KBqF5jo/CUEoP0HaICZ2nsjhzMMUWYtILkgmxi8GH6UPTcOakm/OZ2f6TlILU2kY0pBo32iifaNd9pFlyGL56eX0i+9H97juHM89jsPhoG5QXTad28TKxJX0qNmDnWk70Sl1NAlrwoB6A0gqSGJl4krnfkJ1oXzd9WuifKIq+mMQbmJG638BFqX7TfiFAItIdCsIws0ix5gj3Y9m7Mdf40+jkEaE6cOk+9H8FMg6CZkJEFoXQuLBP7rE/eWZ8sg0ZLI3fS9ahZYmYU0I1Ycyps0YetfsjcVu4Uz+GSL0EUT7RnM857jXfe3L2Ee+KZ9ATeBVv5/EvERsDs9/o5MLkimwFGDON7M/Yz9mm5nm4c0J1YXir/G/6mMIwo2uQgIs69evr4jDCJXEYrNwOPsww9cMJ9+cT6OQRkT5RvHU6qcothY7t2sc3JAvGj1F5KoxYDVBXAd44Du3i0WRpYi/Ev/iva3vufyR7le7H8OaDGNvxl6vY1HISs7voJQpKbYU8+7Wd1mXtO5iu1zJpM6TaB/dHq1SW8pPQBAqTpG5kI93fExqUaqzLUIfwdddv+bVja9yOv/i7K56QfX4ossXLqWU5cjpUaMH6cXpjFg7wiWny4B6A3i4/sMk5iXy7tZ3Aemceq/9e/Sp2Yd7a9/L+eLz+Kv9MdvM2Ow2bHYbSkWFXEqEW8CF2SmeqwhJf99FgEUQhJtBRnEG4/8dz/qki9+TVHKVdD/qVxPNnN7SQ8kL/GNg8FII9VyQIcuQxVd7vmLR8UXONoVMwdjbxtI2qi1Tdk9xuUdoEd6ixIeSQKkLk1wpz1qRpYgH/3jQZbnSgHoDeK75c26VjAShqqqQJUKdO3cu8Ueo2lIKU3h+7fPOLONPNnmSsZvHugRXAA5mH2bq2VUYmvy33ODMZtg8RQq2XLa/cVvGuUXAF59czOm80zxY50GvY3mw7oMEqgO99j9c72FWnVnlElwBsNqtvLzhZc4Xn7/S2xWESpNSkMRrm153Ca4AnC8+z2t/v+a2lCchJ4Evdn5BnvFi/pQgXRA1A2oy6+Ast4S5CxIWEKINYfO5zc42m8MmJbiVwQvrX+CLXV8wZtMY3vjnDYauGirOGaFMOZcIeakiBFIOFkEQhKrMZrex9ORSl+AKgMVu4aUNL3G+8BwUpLi+KP8c/PoYFLovgwf4N/Vfl+AKSNfwd7e+S3JBMilFrvvbl7GPOH/vifFvi7wNX6VvKd4VVPerjkruOUdWfGA8BeYCt1wwCxIWsOv8rlIdRxBuZBUSYJkzZw6//fabW/tvv/3G999/X6p9vfvuu1LixUt+6tevX1ZDFUrBbDOTVphGcmEyOaYcQFo2kGvKpchS5PE1y5LWkNphOOn9voKo5rD7e5cLhcPhYOGxhfir/Xm80eN8cecXTOo8idGtRxPrF8vkPZOpE1SHZmHuFakahjQkyieK22Nup6Z/Tbf+ztU6E+cfx7R90zyOzeawse7sOo99guCNwWrgXME5EvMSOV90HofDe5WfkpwrOMfx7OOcyj1FtiHb4za55gKO5Rzz2Hcq75THrP7rktaRbby4P6PVyK8J7uutL/j56M+oFO43R5vObaJdVDvyzflY7BZpXzYjB7MOum0rCNfqYoDF/Smo2rlEyFqhYxIEQShrWYYsvj/k+TuQzWFj3fkdENPKvTP9MBRlgqkAchIh8wQUnCfLkMWsA7O8Hm/F6RUMbjiYD+/4kEmdJ/Fpp0+5u/rdrDu7jmebPuu2vb/anyGNh2CymTzszbtiSzGjWo5ya9cqtDzf4nmvM82/O/AdOcacUh1LEG5UFTKve8KECcyYMcOtPTw8nKeffpohQ4aUan+NGjVizZo1zt+VSjE9vaJlFGfw4+Ef2Zu+l//V+Z+z3U/tR5Yhy+vrrHYrJwqT+ezEPF7t+By3ndmN339f1gCsDisWu4VPOn3C94e+5/tD3+PAQXxgPC+2fJHVZ1aTXJDMQ3Ufok+tPqw9uxaHw0GX6l0IUAfwzd5vmNplCt/e+QXbkjex+NxG1Ao1g+J60TC8ORaZ3OXL5uXOFZzz2icIl0srSuPrvV+z7NQyLHYLEfoIXmr1EnfE3OFMPnsluaZcDmYcZOKOiZzOP41cJueO6DsY3WY0NQNcA4UGS8nV2Cw2i1ubzWHDZL94g2S2mT0mgb4gw5BBO007t/ZMQyYBavf3dL5IzGARys6FJUIqRQk5WMwiya0gCFWbDZvz4aQn54zZoA303GkqgN+fhYTl4LBDcC2sA+aRacj0ur9MQyadq3Xmva3vkWPKQafU0adWH9pGtSVSH0mTsCb8fvx3so3ZNA9vTs8aPdl8brPLEuOrkVyYzOm800zpMoUViStIK0qjfnB9OlfrzLR90xjccLDH12UZsrDaRfBcuDlUyAyWs2fPUrOm+4yCuLg4zp49W+r9KZVKIiMjnT+hoaJCRUXKM+XxyfZPmHNoDkdyjlA7sLazL60oze1L4aVCdaEUW4tJLUrl5R0fsqNWW7gksZVKruLBug/y1j9v8W/qv84lDCdyT/Da36/xQJ0HkMvkvL35bX48/CM1/GtQK7AWvxz9hTf+eYNGoY3wMeYT+VVb7vtnJl8RzpdmHzote5vQb7ugtVlpFNLI6/huj769DD4h4VaQacjkpQ0vsfjEYueMjvPF5xmzaQybz22+6pksJ3JOMHztcOe6aLvDzt/n/uapv57ibL7r38cgbSBKmeeAslwm95ikOVATiF55Meu/XqWnXWQbr+NpEtrEpXzzldobhzb2ui9BKC1nkluPOVhEkltBEG4OWoWWhsENvfa3i74NMj0koJUrwFwIR/+UgisA2afw3fW9x9ndF7SOaM2sg7OcQR2D1cBvx35jyYklqBVq3vznTXxUPjQMacjBzIP0/7M/AZoA/FSlK6tcM6Am/3f8/3h90+vIkdMopBHJBckMXzucU7mnvCbAbRHeAh+VT6mOJQg3qgoJsISHh7N//3639n379hEScnVlRS91/PhxoqOjqVWrFoMGDbqmII1wbaw2K/mmfMx2M0qZEqPVSJGliHaR0hNvg9VApiHTaxDj8UaPs+iYtD40UBPInoIzpMvsLl9G92fs9zjLxOawMe/IPOoH10en1HG24CwLEhbw89GfOZ1/Gq1CyyP1B6JeNx7sVjh/EN9/p6PbMQvykqA4m6CTG3i19asexxblE0WjUO/BF0G4VEphikvZ70t9vuvzEmeJXJBenM6UPVPccqGAFKzZk77HpS1YHUi/Ov087qtPrT5sOrfJrf2Zps+4VPpROqBftS4uQZcL1HI1vWv2Zs2ZNS7tIdoQagXUIiEnwaW9blBdqvtV9/r+BKG0TBeS3HrIwaKUy1HIZSLAIghClSdHzpNNn/TYF+0TTfWAGuDh3oAWg+HIH27NPvsWMLLuwx6X4ARqAqkTVIcDmQfc+jad2yQtA3JID3gu/IC0bMfqKN2sklBdKO2j22OwGlh2ehnzjsxj07lN2B12nm76tNv9BUgFKJ5u+vQVS0ALQlVRIQGWgQMHMmrUKNavX4/NZsNms7Fu3TpeeOEFBgwYUKp9tWvXjrlz57Jy5UqmTZvG6dOn6dixIwUFBR63N5lM5Ofnu/wIpWeymjiZe5KJOyYybss4QrQhfHXXV3SI7sDojaMZ03YM98ffj1quZsqeKYxsMZK+tfqilEtP20N1obza+lXyTHnszdjL8GbDeaPtG5wtOMvrf7/O/CPzSSlMwWK3sDlls9dx7M3Yi0Ku4IdeP9A0tKmzvWFIQ77v9T3V5HpI/Mf7Gzn8O/UDajPtrqlU86sGSE/+76x2J7PvnkmkT2TZfGDCVanK56e34ApIwRGDteTlPCDlQzmQ4X7Dc8G21G0uvwfqQ3i68VM82/RZ55MeH5UPTzV5iueaPYfVZnUmlwvRhjD2trHcHXe3a04VcyEx22Yxt9t0l6ddDYMbMqf7TAIcMue5AdA+6nZm95iFDBnh+nBAuhnqU7MPU7tOJVQvZhDejCrr3DRZvSe5BWmZkFEkuRVucVX52ilIDDYD68+u54MOH1DN9+L9aMeYjoy7fRwrE1dDl7dA898MEo0fdH4dGvWT8hdezphH3N5fmHn3ty4zy9tGtuW77t/x6Y5PvY7lXOE5xncYj8lm4ljOMZqFNeObrt+gVWqv6l7mUkHaIMZ3GM+AegNQy9VSmyaIN9u+yb3x9zK8+XBaR7R2bl8nsA5zes6hur94WCPcPCokecn48eNJTEyka9euznwpdrudwYMH89FHH5VqX7169XL+d9OmTWnXrh1xcXH8+uuvDBs2zG37CRMm8N57713fG7jFWe1Wtqdt5/l1zzun9u08v5PFJxbz4R0fkmXMYuDygbzY4kV+7P0jcpkcnULHm23fZETzEWQaMzmVe4pFxxexL2MfQxsPJb04nW/2feM8xs7zO5l1cBa/9vmVSL33IEeINgSVXEX94Pp83fVr8sxSdRR/tT9B2iAp8ZdvOBR6yQvhXw0fi4E71k/ih8YPUegXgQo5gSc34vvvDOg4GvSiTFxFqcrnZ4Q+wmufSq7ymkX/UnKZnGBdsNfZLpcfw+6wk1hwhoTsBMbdPg6lTInNYWPV6VUkZCcQpg/j444fA9JssmUnl9EsrBkRPpfsR6kmu9F9zDw0h/bR7Xm80eM4cJCYl8iMAzN5r/4QZjd7iQJrMUqZnIDEf/HfOJma3d6lQe+fKLYWo5KrCNYGi6dNN7HKOjcvJLlVeVgiBFLgpVgEWIRbXFW+dgoSuUzOP+f+4Wj2UYY0GkKwNhiFXMH21O28svEVnmnyFDR8EOI6gNUASh34RcK/X19cGnQpmZyMDi8wc+dE7o+/n0ifSOQyOQczD1JoLnQpz3y5AHUAL2540ZnQduf5nfx27DcmdproDJKURrg+nNGtR/N448cx2UzolXrCdGEo5AqCtcF82eVL8kx52B12/NR+hOhKv5pBEG5kMse1lry4BsePH2fv3r3odDqaNGlCXJz30mCl0aZNG7p168aECRPc+kwmEybTxQSP+fn5xMbGkpeXh7+/v9v2grvUolQeXPqgswzzpUJ1obzY8kWpjCvQKrwVk++a7JLgM7kgmfsW34fZbkav1PNp508ZsXaEx2P1q9WPgQ0G8PAyzzOb3m73Ng/E/w+lsoQ/+AcXwcKhnvue+Rv2zIft7kmXnf1R3tewCmWrKp+fKYUp9FvSz+PTnX7x/Xir3VtoldoS92G1mvj+yI98uXuyW58MGYv6/kad4HrOtrSiNAb8OYAso3si6UBNIGPajuHtf95Gq9RSZCnCgYNGIY2Y1m2aFID8z18nl/HKP2MAaR24TCZzvo932ozhwd3/Bycum8b7xEqIEzmKbhWVdW5+vyWRD5Yd5oeh7omWAV78ZQ/3t6zG6z1F9UDh1lWVr52CxGYoYPbhOUw5ONOtTy6Ts7TPr8Rdcv13yjoJU1u7BVnMHV5ienAQMw9+B4BOqcNmt2G2mxnWeBgHMw+yLW2b2+5CdaG81Ool3vrnLbe+26JuY2KniS73D4IgXFmFlt+pU6cOderUKdN9FhYWcvLkSR577DGP/RqNBo3GPfGjcPWyDdkegysgJfr0VfsCEOsXywd3fHAxuJKfAgVpRNhtzLr7W5KLUvFV+2KwGPim6zdsS9vGvMPzXBJe/Xn6T55o/ARvtXuLCdsnONeBAnSP645OqSO7KI3wgBKmEtbsBC2HuE6hlMmhxwQpN0v126Qvilu/huQdrq89sFAEWCpQVT4/w/XhTOs2jefWPOcSZGkc2pgRzUdcMbgCoCzKoldke/ZU28vG5I0X22VK3r39HcKyz8IlN1jZxmyPwRWQlgrVCqjFp50/pcBcQIguhAMZB5h9cDZ5pjznDVKhuZAFJxbRIboDD9V7CKPViN1hx1fty+ITi/n15BK6xrYm6NIAi1wplYP0CYXcs6ANAP9o8IsCmXu1F6Hqq6xz02ixeUxwe4FaKccgZrAIt7iqfO28JVktUJgm5QO0mSGoBgpk9NNXZ2/kbfyd9q9zU6VcyWetxxBxeqvL9d/JPxr6/wALn4BLKgeeb9qPPze9Rp9afehZoye5plxUChVKmZLFJxYzovkI0rakcSb/jPM1AZoAJnWexLtb3vU47G2p2yi0FIoAiyCUUrkFWD7++GNeeOEFdDrdFbfdtm0bmZmZ3HPPPVfcdvTo0fTt25e4uDhSUlJ45513UCgUDBw4sCyGLXjgLeP3Bf5qf+b0kNZPXsjRwPlD8FN/yEtGEdkE9T0TmLRrkksJuR5xPXi/w/u8/c/bziSfNoeNE3kn2Jm2k+97fs+xnGNkG7NpENyA/Zn7+XL3lyzoMbfkAfuEQbf34LbhcHYrKFQQVg+2fQsrX5e20QZA789A6w8n1l7yZt3L3AqCJ0q5kmZhzfj9vt9JyE4gvTidhiENifaNJlR3lXlJZA6iZ/Xi7Ye/57kmT7EzfTd+aj9ahDQh5OBi/PNSIP5u5+beJhzG+sXyZrs3eWnDS5wrvFhqvGNMRz7u9LFLEl0HDtpGtsVP7ceYv8dgtBkBKcHts82epVFwI8jPvWSMcvjfdDiyDBY/e7HdLwoe+RUim4ggi1BmjBa71/wr8F8OFpHkVhCEqsJigNMbYdGTUnllkB5adB5DGPCBX2PO13mIfTnH8Ff70sSnGqFbp6MNrOF5fyqddF8wcick7wJjDlRrC9oABtYfSI4xhxfXv+hMTuuj8mFM2zEcyDzAd92/41zhORKyE4j1iyU+MJ5d53d5XT7kwHHVFREFQbio3AIshw8fpnr16jz00EP07duX1q1bExYWBoDVauXw4cP8888/zJs3j5SUFH744Yer2m9ycjIDBw4kKyuLsLAw7rjjDv7991/nvoWyF6oLRafUeVwK4a/2p5pfNZcqJeQlww/3QVEGAGld3+LJTa9TYHFNRLzqzCoifSPpENOBf85JiWnviLmDvRl7WXVmFavOrGJ8h/EczT7KjP0zsNqtPFLnIQKv5surPkj6Ca8Px1fDd91c+415sGQ4DPgZTq6DCxeQxvdf/Qcj3PKUciUxvjHE+MZc2w60QVC3B5Hf30ekxp9GNTuCMR8S/6sG9MQKl82DtcH4qfzczqXhzYbzzpZ33HK5bDq3iWBtMC3Dmjvb/NR+tI1sy5CVQ1y2NdvNTNkzheldvyHg8MX8SNTtCed2weHfXcdekAo/3AvPbILA2Gt7/4JwGaPVVmKARa1QiCpCgiBUHblJsOARsF/yd8tuhfUfwP0zCVr3AUGF56kfXFMKxuQkSts8vsz7PlVaCKoh/fwn1GIgQh/B57s+d9m0yFLEu1veZX7v+UT6RBLpE0mriFbO/vpW78stm4U2w18tlpwJQmmVWxWhH374gTVr1mCxWHjkkUeIjIxErVbj5+eHRqOhRYsWzJ49m8GDB3P06FE6dep0VftdsGABKSkpmEwmkpOTWbBgAbVr177yC4VrFqYL4422b3jsG3vbWMJ0lwW3Mo85gysEVueQKcvtC+EFvx//nXtqSjOX9Eo9jzR4hCUnljj7Z+6fSauIVljtVkK0ITzWaDBq9VUm1jQVQHaiNB2zaX9QXjad1maB039LCcRA+iLpGyEtbbKVriydIFwTtV6qCqALAlM+HF12MbhSuyuExLtsHqYL4+3b3nZp81NJFQa8JcpdcXoFRnOh9O86LxmTIZdfE371OqT5R3/G0LQ/PPQ9PDBLmgm27xfPGxty4PxB6XzPTYaCtKt844Lg2dUsERJJbgVBqFTFWdI1Lz8FbCX8PbLbYc8PrsGVS22bBu2ehdtHQOcx0OVNqH8P1OkBgf/lqSw4/9/11Uvxhv/kG3P44bDnh9U2h43lp5dj9zDWMF0YD9V9yK1dLVfz5m1vEqgNLPG4giC4K9ccLM2aNWPmzJnMmDGD/fv3c+bMGQwGA6GhoTRv3pzQUFHesypQKVTcHXc3NQJqMGPfDBLzE6kdUJtnmj1D7cDazlLMTjkX13fiE0ZiUarXfeeb8/FV+dIvvh+9avbiy11fuuR7SSlMIdonmmH1H+Wh+v2J8a3mdV9ONitkn4TV78DxVaBQQ8P7YMBPsGSk9OT9gtwzEN0Kmg2QZhNMbQUqPbR5Cto8Cf5R3o8jCGUhuBY8tR62z4SE5aD2kW62at8lVcS6hFKhpHNsZ+b3ns/0fdM5lXeKNhFtMFmNXndvtpsxWgph5h1gLsR0z2ecLTjrdfvkgmSM4SZ8fn8WlFpoNhDu/1ZaHlSU6f6C9MOw50cpOBRQDTq9DvV7SUv1BKGUTFa71wpCIJYICYJQiUyFkLYfVr0FKbulhyO3DYeWg6UKP5ezWyDjqPf9BVSH2LawehxsmgRqX2j5GLR9VroX2P8rrP9QmtUSVEMq2xzfFfTuVXfMdjMphSleD3U67zRGmwG9wtd1CJoARjYfSYfoDsw6OItsYzZtItswtPFQYn3F7FRBuBYVkuRWLpfTvHlzmjdvXhGHE8qBr9qXFuEt+KzzZxisBnRKnTO5rZuwS6Yb5iXRwL+G1/2G6cKI8Y3CYDUwYu0IrHbXmSPxQfE01EfR2QDKbzrCk+sgrG7Jg81JhJldwFwk/W41wv5f4MwW6P0p/PLoxW3j2kN8d/j1MelJPIAtDzZ9Bon/SInE/LyX4xWE6yaTQXBN6PYu3PECyBRSMlkvfFQ+NA1rysROE53n4sks7zdwPiofdCjAXAiA7tTfNI6pzYHMAx63bxgYj/70P9KyOYsBds6GUxug10TP1bn8ouDsfwn68pLhj+ch63npaZzGy98IQfDCaLGhKmmJkEhyKwhCZUneAT/2u/i7IUcKgJzZAg/MdH+woFBL+VGOr3bfl0+YFJiZ3UNaMgTSdfrfaZC4GXp9Av/31MXtcxKl37u8Be2fl3KxXEKr0BIfFM+OtMuKN/ynUUgjtArPeTGDdcF0jetKq8hWWG1WfNW+V5WoXxAEz8ptiZBwc/JV+xKmD/MeXAEIrgEh/y3bKkynjkNBpI+HyD4wouEQAixmtqZsdQuuALxU9xGifhqIcsNH0pKfvz+9GDjxxGyAzV963iYvCbJPQURj6XeNvxRcWfjExeDKpZL+hRzPib8Eocwp1dIStRKCK5e69FyM1oUSHxjvcbsn6j1CuOli/iTVsRUMjO3qPvMMqTTk0Jp90B36P9eO7FPS7JWQy5ZjBsZJSXCLL6ts9O83F5cJCkIpmCz2EpcIaZRykYNFEISKV5gOK1713HdqPeSdc2+XyaBuD2k2itoH6twN9XpLs1NbPAb/fH4xuHKptP1SQMXXwwO+TZ9JY7lMmG8kw5s953F4OqWO3jV7IVcoSniDEKgJJFQfKoIrgnCdRIBFKHt+UfDo71DjDgAiVr7NrLbjaBba1LmJTqnjpebPc5c6nLB9vzH3rqkuXxD91f580PIVGiduv5jwC+DkGilBbWEGJG2DP16EP1+G84fh9CY4vQFOeHhScMHpvyGmpVRV6Inl0pfa1L3etz+x7po+AkGoSGGpB5nacSK3RbZ1tmkUGp5s8BgPRnVAmZ98cWObhZhNU/juzslE+0Q7myP0EXzTaRLVt8/1HKBM/Aeqtbv4e2w76PMFrHnXfVu7DfI93GwKwhUYLTZUCu9VqdRKhZjBIghCxTMVQOZx7/1nNksJbf/5Ev7vadj9A+Snwt4FMPgPKaeZXzRo/ODu8dLS9JQ93vd3ditENnZvt5o8L9cFavvH8fEdHxOsDXa21fCvwbd3z6CazzUm4xcEodQqZImQcAsKioP+86A4EywGquuCmHrXFHLM+RiLswhARtjGz1AdXQ5AnUOLmNVlDDm3N8eCg4Csk4Rvn43i9N+u+9UESMlpV70NhxZJbfdNhVVvSk8Qur0rlWD2lmxTFwQdX5UysPuGS7NalFppGZEnPu7rXAXhhiNXEPP9//jsnk/JafkSBqsRf6We0JMb0czsCg/Pc9lcHX83rQ4u58fag8j1C8eBg8DiXMIPrkAWfzccXuJ+DG0gtHhUehqnVINvJMx/AIqzPY9JdZXJqAXhEkar7Yo5WIrFDBZBECqaXCn9eJpxAlLgZP6DF3Ou7P8Fmg+SEtbv/l76uWD/LxB7O/SbAb8+6nl/2gDIOuG5T6n22BykD6dHXHeahDYiz5yPQqYgQO1HjH/1q3yTgiCUBRFgEcrPhVLJ/wkEAnUhYCiC6R1ct81LJnjxSIJbPg6dX4NfOnre523PQV7KxeBKWH2prO2p9dLvh5dA0wGw9j3Pr2/7DARdcqHRh0HzR6Q8E5eTySC+m3u7INxoQupAcSYBPw0g4PK+WnfC2W0Xf/ePkRLpbZtGOBB++fY9P4bQulI1sEvV7S6tPbcUS7/3+Ah8wj0HWHzCRO4i4ZoYLXb0Ku/T2NVKOSYRYBEEoaL5hEoFEw4ucu+TK6XZ25cntD39t3RPemlw5YKkrVCvh5TkNmm7e3+tO6V8LJcLjCsxibxSqaJ6QI0S34ogCOVLBFiqMIvNQoYhg1xTLkqZkiBtEGH666jcYSqEonRpCY7aV7qY6C4GSDDkSjNSjAWg9Zei9cZ8MBdIkXafMKnNm7wksJggYYX3bQ78ArcPh6F/waZPXROD1ewEdbrDH6MutjXoAwcWXvw9ZY8UhKnZGU5vdN13hxfcc0iotNDxFSlB2aUXRpkM7pvmOSu8IFyqKNM5UwtdEPhEgNpzIjlvXM5luZIgTSnP5YLz0GcyLBnu+nTNPwa6fwjJ26UqWnarNEV5w0fe93XgN2jQV6pocEHnMVJ1rge+k/ahUEF+GvSbBvPulxL9XaDSw8BfQaGFjGNgKZJmv/iGS2vQBaEERouNQJ3Ka7/IwSIIQqVQ+0izpFP2SHnJLpDJ4X8zYMd37q+JbSuVafZm9w9wx8vuAZbuH0jXzA4vSPuwmkCpkR6WNPof+EWSacgkx5iD2W4mUBNImC4MtcLzzBZBECpWhQRYioqK+Pjjj1m7di3p6enY7XaX/lOnTnl5peBNvimflYkrmbRzEsVW6YlyrF8sn3b6lPrB9VHIS05k5aYgDdaOh30/geO//31qdoL7voHAWCl517JX4Nh/wRGZDOrdI60hXTRMWrbT9GHp4uMpKHH+sJT9XB8sPR33xmKA9COwZAR0HQuthkpPAOr2kAI0e+ZJgaALlDopwHOpJSPh7veg1RApE7suCBr1k0rIXhowuiCgGjy2GNIPwbG/pPE36CuVaBZfCIWSZJ2U/v1fWEetUEO756D9SLcSy97kmfJYcXoFX+z6wnkuV/erzmedP6NecD3ksqtIlVWcKZV7fux3SNwknc/V2kJ4QzDmwtavL041vuMlZ0Uhj8yF0Oh+KWG01g8a9gNdoFRGeutUsJml7SKbQu0f4JlNcHYLJO2EiIZSCUmHQ6rWdXaLtK1cAc0fgy5vipktQolMFvsVqwgZLXYcDgcymfdcLYIgCGUusDo8vgxS98PJtdL9Y/17oCgLjq10316pcU8CfylTgZQXsN90KeeK1h9q3QX+0VJFwYwEKRGuw+G873b4hHM8+xivbHyFxPxEQMpr+HyL5+lbqy+B2sByeeuCIFy9CgmwPPnkk2zcuJHHHnuMqKgocVNUBvZl7GP8v+Nd2pIKkhi6aiiL7l1ENb9qV78zczFs+Bj2uuZp4PTf8OtgKX/D0ueli8kFDgcc/VMKxrR5Svrite9naZpkz09Ac0lgIvsUzPuf9KVPFySVpfMU6QepbHLaAelL3orXYeAvcMeLMKOjlDW9xh3StMmU3dL2yTuk3y9NPGYzw8o3pKfm/b6WAkFX+jfnHyX9iCVBwtXKT5GWzOSevdhmM8OWyVIg8fbn4QoZ+wH2pO/hw20furSdLTjLE6ueYFHfRcT4XUViushG8NPDUhAluqW0NG/XHCkJ7bxHpFlpFyTtkM4JT1OSQeoLqw+9Jki/222wbbp0k3eptP0wtzcMWysFV5s+LLUXpsOP/3OtzGW3we65UlnJbu9KM8cEwQOj1VZiFSGtUjqnTFY72hKWEgmCIJQL/2jpp17Pi212u3Sf6XC4bpu8E1oPg2OrPO+rTnfYPFla5h7RBDKLpWVBnV6V7nMvfd1/990pHUbyxD+jyTfnO7sMVgMTd0wkUh/J3TXuLsM3KwjCtaiQAMuKFStYtmwZHTp0uPLGwhVlG7KZvHuyx75iazGbkjcxsMHAq99h4XnY86N7u2841OwIpnyIbiEtobm8MsixFTBwgRRgASnI0vEV0NS8uE3awYtJZw050rKiam2k4MilFCpoP+riEqC49tLYClIh7g44+odUyaTDC7AvUtrn8b9g0EI4tFjaZ81OUtDnxDoIiIWwhtIXPp8wkIuiWUIZyjrhGly51D9fQLOBIEO68dIFeQwqZBmymLJ7isddFFmK2Jyymf41+0gBEoXKewnnooyLM1QuBB/DG0rBlEuDKyDto/pt0g1ifoprnz5Emi1mygOrWZr6DFJZSE/yUyDzKAREu7Z5KnsOsGu2tIQvKM5zv3DLM1ntqK8wgwWg2GwTARZBECqHuUi6l5Urwfe/5bwtBktL05v2l/KTZZ+C/QukJT4htaUZr5fS+En3CfMfkJYAFV7yEDO6OWyY4H7csPrszD7sEly51OQ9k2kZ0ZIQnSjQIAiVqUK+cQYFBREcHHzlDYWrYrabOZXnfVnV3oy9pduhqcA9K3qrJ6DXp3BuF3zfFxL/hq7jpADIpRwO6cJwgd0qBWQulXbA9fe/3paCJB1ekAIfChXUvgseni89KbcYpFkz1dtLX1R/HgBqPTzyq7S8aNkr0tKlZgOlfA9bv4HHl0uJv7Z8JUX/q7WEloOkZQqzu8OWKdIyJ0EoK+lHPberfaDvZDi4EGb3hG87w6o3pJuty5ZHWu3Wks/l9L2wbYY0g+vHfnDodymYcrns0+5tgbGQsstDe3WpjOS9U6UKBxo/6Txq8pCUY+XviZB1GmbeCXN6wv5fpfwual/Pgzx/yPV3b0EnkP5WlLQ8SbjlGS0lz2DR/BdgEXlYBEGocFaTtIx98fD/rsv3SddIm0m6hnZ9B06sgY2fSNv1/1G6Jg5aCO2elWZWK7XS0tthq6UKmJfeQ196HE8CYzlQ4OF6/58z+Wcw281l8lYFQbh2FRJgGT9+POPGjaO4uLgiDnfTU8lVxPrFeu1vENygdDvU+F58Ug3SLJCwevDbEGnGSFGGtJzg92ekL2P173F9vVJz8b9lcvdEt+H1XX+3FMOvj0HqPmm5wHNbpaftvz8DpzZAr4nw96fSU/Oc09JMlT3zYOFQ6PWJNKPl5wFgt0hfCHtPlC5y26ZJM2zykmDjRGl/d46BnERY8w781N/9ib0gXKuQeM/tPSZIM7pWvSkFVQrPS1Wqvr1T+vd8CYVcUfK5rI+Co0ulczDtAPz2uLScz5DrumFQDfcX56dCUE339oIUaQnfzw9L5cl7TZSWEsmV8PNAkKsg67h03mWfgtVvS4HOXh97HuTlOZX8S1jSJFeCSuQ1ErwzWewllmm+MIPFYBYBFkEQKljaASmwcnixdF0+f0jKL7h1qpTvbOETcG631HdqPXzfR7rurZ8AecnQ4wO4d4o0q9VcJL3Gk0vvqy+Vn0o9H+/X2BjfGJQyUb9EECpbuQVYWrRoQcuWLWnZsiWff/45q1atIiIigiZNmjjbL/wIpROiC2FE8xEe+9RyNV3jupZuhz7h0PiBi7+3esLz1ESQKos0H3Tx91p3SssQLmhwn3v5uKjm7sllHQ4pmJKXDBp/KSeLIUeayaL2u7jc4VKGHKli0G0jpbWuBxaCfzXp/3sKnGSdhOyTENVM+v38Qe95JwShtMLquiey9YuUErpevvwNpKU6GydeLHMMhOpCGd58uMfdaxQa7gxqKN2sXWrHd1LQ5lJBNaRke5dK2y/921fp/xtvfSk/y6kN0pM2u1UqN7n4OSkYue9nKeDS7lk4vtZ1Xym7pXP28mPoQyCikWtbQIx7ta4Lmg646uS/wq3H4XBgtpW8REjzXw4WEWARBKFCFWXCspelog6X27dAejihUEuzRGNaSffCDgcsHw21Okl5C5eMhP97WsqRtm0GdHjR87HSDko5By93/iC3hzZHp/RcqfC5Zs9dXzVRQRDKRLmFOfv161deuxaAtpFtGdl8JNP3T8f63/KeEG0In9/5OVH6qNLtTOMLd78vrSc9vkqKtl+et+ECq1FK5CmTS3kcbhsuzSwBKVlXz4/cZ7AE1ZSq9Pz62MXlAzI5NH8UWjwqfUkbtkYqEX3+sPTFsN90yD0Da9+/WLUEpPE9MBuqt5UCM/pgOLTI+3s7tkrK5ZK6T/p973yo21Mk2RSuX0A1GPwHLBh4sWRjbDspgOHN0T+h2zsXgx7AbVG3MbzZcL498K3LufxlmzFEbZjoeT/JO6RZZhf4R0vn2IKBFxM+y2RSZZ+hf0nnVupeaTlgdAvQBcP9M+HPly8u6VP7SFV+zm6B8Dpw2cofTqyF2Nsg77+y6EE1YMDP7kEXv0hpOvSCQZB++GJ7/T7Q9W1puZ8geGCySkvori4Hi9XrNoIgCGXOlH/xXtKT/CQY+LN0P5CXLM3uVKhg9TugCXDf/sCv0Hoo3D5SWh5/Yam+X6Q0k7xJf/j9aam60AXVbycyoAazus9i1PpRZBoyAVDKlDzR+Ak6VetUhm9YEIRrVW4Blnfeeae8di0AgdpABjcaTJ9afUgvTketUBOqCyVMH3Z1ZV0v5x8N98+QIvTegisX+EbC8H+lnAzmAhj0m5Q4Ux8mVS+5nFwuJewa/IdUrs5cKF1AdCHgGyqVXU7bD0tHuGZgr9kZ/jf9YgAHQKGBjCNShaHmj8Cdb0lt3ii1rk8blFrX5VCCcD3C68MT/8/eXYdHcW4PHP+u70Z240IECwR3pxRaWupCvVSou9/679bttvfeyr3trbfUHVpqSBUqUNzdQkhCXNfl98eQhE12Q3Rj5/M8edrMzM68CZmd2TPvOed7ZTqwo0IJJv4aJJUGQKuvtyjaGM1lQy7jtL6nkW/Nx6AxEKcNJ/6ji1AHKxarDRAgjOsHs7+tHUtEPOgiYNcPShcw32H1X3pNgaPugNP/q5wPPq8y82bV20q7yX4Bumnpw5T88rFXKed+RHzgluygtIy+9CtlLPYy5UleeLzS7lmIIOyH6qo0pgaL3e0Nuo0QQrQ6lTpwpyBQ0tzjMuHjWcr1t1pUOpzxkpLSHsi8a5W2z6NmK+m7ujDlwaG5J+h0Sm3CqgKwFSsPRsLj0YbHMsSXxMenfEyRvQi7205CWAIxxhjCdPIAQ4iOICSJen369GHFihXExvpXtS4tLWXUqFHs3h28yKMIzqQ1kRKZ0rg2ro3aYbTyVZ6r1FGo2zGoepuotPpPrRsjppfyVVf5AfgqQJrEnl+VzkA9J8O+35VlQ86Cbd8r/7/2QyXCP/aq2s5DdQ0+U0lrqjbu6oAfcoVotsgk/0DDyEtg1ZzA2468tH4KHcq5nBqZWtte3VoCxgBPvEAJhKSMDjKWROWr2sFNMP+m+jeEe5cqM1ny1ivt2KE2AHP8o0rRvrpGX1b/Z21IRIKkA4kmqZ7BotOogm5jkBosQoj2YIqBvtOVIrZ1TblDqZF2eHAFlFnbS/+ltF0OZMQs5Zqq0Slpx3WFxypfdahUKhLDE0kMT6z/GiFEuwtJgGXv3r14PPVvhhwOB9nZ2aEYgmgKczKc8xa8e3ptJXO1Boaco3QRspeDL0t5im0tUgp1GSKUoIzusLxQR6USeXfblbShiGTQBGirueGz4GNZ+z5MvUcJsCQMVNJ9qltCA/z4iFKlPXU8ZC/3f23f6cqHxuq0pCFnK3UohGhLMb1hzJWw8k3/5bEZSoBPozvyPsKilcKzb52g1B463CkvKGl1JfuUei66MCWoEmhWy6Z5gZ+2gXJuXfCREqD0+aA8G7JXQkzf+m2WR16qLBeiDdXMYGlMDRaXpAgJIULIaIYTn4bFD8CgM5RrrkYL+/4EY7RyPxzIvj8CX58TB8PwC5S0/PIcZbanRq9c32W2pxCdWpsGWObPn1/z/wsXLsRiqX0i6/F4+PHHH+ndO0CXC9H+eoxW0oDWfqTUbpjyN9g4F96YrlwArlwIvzyt5JB6nEqwZdy1MPYKZXZLWTYs/Dts+UoJcpii4Zj/U2aghNWJxpc2EGSzFintl096Rpk2+eUN/h8YrUVKitD570DOOlg9B1Ra5Wl7eJzScnbQGTD2aiW4EiHFv0QbC4tVapkMOw/+ek3J2x52AaRPVArANlZcf7hmiVK3ZdePYEmHsVcq59KSf8KK15WW5lqjEtCZfEv92SUVBwPvG5TAjb1caWUOSk2XU55Xaquc87ZS9FYfoQSF4vor55MQbcjuqp7BEjzAUj27xeaUFCEhRIiFxSj1Bhfer9x/qtTKTGq3reHXaY1w8TzlHtVtVx5Ypo5TZsVs+RoW3FPbrKH3NDj12eDF4oUQHV6bBliqC92qVCpmz57tt06n09GrVy/+/e9/B3ilaHdanVJH4Zj7lQ9i39+jBFNAmTGy6AH/aZLOSvjt38qF46hblXaveetr19tKlErqaq2Sa6o+7AY68yRY/1HgcaRNUD5Q/vVa4M5CvY4GY6QycyYzWelCBLVpQOe8rVwAGzNrQIjWEh6nfKWMAZ8neMvFhqhUEJ0OE29QCuGpdcpN3ML7YfU7tdu57bDsJeUcO+lp5SlbtX7Hw5p3A+8/dRwUbKv9vmAbvHc6XP2LEggdcAqoNMoTOiFCoDEzWFQqFQatWorcCiFCy+dTGid8c9thy7zKvfG4q4O/zmBWZqSkjFJmYfs8SlF5gF0/Kw0gDrfnF6W985WLm5eOL4Rod21a7dPr9eL1eklPTyc/P7/me6/Xi8PhYNu2bZx66qltOQTRUiqV8sFt46E0HpVamQWy8wcl7WfkxcrsliFnKx8iV74BtlIlTSJQUOPnx6Ei139Z6hhllkq9Y6uVehDh8UqBr7q0RiWYc3haklbvX2NFa5Dgimg/Gm3zgit16YxKel1VPqx5L/A26z+qTdmzFivFnaN7KoHSulQqOOr2+sETjwv++C/YKw6dOxJcEaFT00WogRksAEadpiYYI4QQLXL4NbMhFblKWnpdKpVyvzrgFKV22shLlPviwTOVGd8Tb1JmVoNyLa8OrlQVwqK/Bz5WeQ5kr2r+zySEaFchaaeyZ88e4uJkenmnZS2sTcuJTFbSf0bNhjNfVnJGd/6gBDHO/0DpTmItViL2F34CvY7y31dVIbiq/JdZUmD21zDkXGWGC0DSMKU7S8IApajuFYuU9sqqQ8UP0ycq0f3oAB8eheiqbCX+3YAON/FmKNsPX1wF782ExQ8q6XtnvnzoRu9QoDFxiNLqfO0HyvlcV85qsJfUXy5EG2vMDBZQCt3aJMAihGgJawns/R0+u1y5Zv74mNJi2RvkvcVlq/+AEMAYBXnrYMKNcO4c5Tq98welPtrl34M5FawF9V/nttevd3a4vUua81MJITqAkDye/M9//hNwuUqlwmg0kpGRwdFHH40mUAFU0f70EbX/by1S2s7F96+t3QCQuw42fA4zX1VSeta8p0ybPPtNJRJffKhTlEYfuK1ydE847QWY/iD43EqA5vCaD3H94KzXaz9gGi1KLqwQ3UmwFozDL1Bmbr1zWu2y3LWw8i0lTc6SppyLoBTH/fFRJd2o7/T6+zL3AK20ehSh15g2zXAowCI1WIQQzWUvh79ehV+eql2Wu1aZhX3FQkgaWv81Gr0yY9pVp96KsxJiMiB7Bfzw0GH7W6fcB5/1ulIEty61Rum0V5kfeIxSWF6ITiskAZbnnnuOgoICrFYr0dHKm0xJSQlhYWFERESQn59Pnz59+Pnnn0lLSwvFkERT6COUDj75W5SIu0avRPrr8rrhh4fhgg+Vp+VuB/z0mJKbuuA+ZZvRl0N4kNathnDlKxij2b++hBDdjS4MkkcoN4KHG3I2fHh+/e3ddvjlSaWg3qeX+q+bdq9SyLaucdcGbAspRFurbdPccIBFr1VLFyEhRPNVHvQPrlRzVsG3f4MLP67/EC8iQZm9vfwV/+Vuh3Jv+vMT9ffncSkPNC6eW39deCJMuhUW/V/9dWotZJ7Y+J9HCNGhhCRF6Mknn2Ts2LHs2LGDoqIiioqK2L59O+PHj+eFF14gKyuLpKQkbr/99ibt9x//+AcqlYrbbrutbQbe3ZVmQdYy5cPczNeU7iI6ExRsVT64BVK2X7lAnfsOzHgcyg4oT8+Th8PFXygFbXcsgMKdULwHdv8Cm75SCmzWbUcrREfn9Sopc3t/V1oiH9wEVUXgdirnz84fYfN8KNyhpNMFYytTttk8H3b+pLzW7VRS6g5uUva993flZm3G4/51VSypULw3eOpQ3gZlBtjhhpwNfY6BAytrl6nUShv20iwlzU+IEGt8ipAGq1NShIQQzZS1LPi6/cvBXlp/udYAk2+DPsf6L7ekKalDHmfg/RXvVroJ1qVWw7BzlQcgh9OZYNYnYG5C10EhRIcSkhksf//73/niiy/o27d2ultGRgb/+te/OPvss9m9ezfPPPMMZ599dqP3uWLFCl599VWGDRvWFkMWRTuVFKD8Lcr35hSY8Zgy+8RZ2fBrqwqUquipY+GcN5XXnPgPpbOQvVSpyzLmCvj6VnBU1L5u6HlwwuMQkdhmP5YQrcbrVfKu3z/LPyCRcZwSBHnzeP+/77FXw7R7lKLNh6ssUJ58rXq7dpnBAlctgu/vhd0/1y4Pj4Oz3oBjH1C+L8uGuAywljY81ujeMOtTZVp00hAlWLPiDeUpXcleJec8NgM2fwm7foKh5zbjFyJEy9jdXjRqFRq1qsHtlBQhCbAIIZrLd4TVQdarVDDiQhh3lRI4CYtRWi0fYXdB9xeRCCf/C46+S3kYYrRA/AAwJymzxYUQnVJIAiy5ubm43fWn87rdbvLy8gDo0aMHFRUV9bYJpLKykosuuojXX3+dxx9/vFXHKlBqpnx5Q21wBaD8AHx+BaSMhlOeVSL5bkf915pTaiP/2Stg7YfKh83/TVBmtgBMvlUJ3tR9/YZPlbzXiTcqualCdGTlB+DdM+s/6dr5g3Ie9JsBG7+oXb7ideX8GXGh//bbvvMPrgAMOAl+e94/uALKjJbPL1fOwfk3QVisEty5/Dvlxi/QTVziYOUGMHFQ7bLcdbDhM+UrMlmZvVJ+QFl34j+kvpFoFw6X54j1V6A6RUgCLEKIZkodG3xdymilS2ZdbofSZe/PF5XgR2SS8hDFVqI8wNDoAnciiu6lBE6CCYtWvhIGNPnHEEJ0TCFJETrmmGO49tprWbNmTc2yNWvWcP3113PsscpUuw0bNtC7d+9G7e/GG2/klFNO4bjjjjvitg6Hg/Lycr+vbq3yoJJOUJatpCAEYi1WpkgGcmCVUhzzmEA5oxo47mH467XaZVu/Udo2VwdXEocoH+4CBWcAfn9eGaPoFjr1+XlwU+BpxADrP4GBp9VfvvSf/gXtKg7C0n/X3y7zZP/gzOFsJeB1wanPKcHLk/+l3NRNurX+tloDTLsPfHU+jPY+WqnlAsrU5urgSlw/GHh6bbcu0W21x7lpd3mOmB4EygwWSRES3VmnvnZ2BM4qGHdN/eU6kzKbxONWZnyWZCmF4e1lyrV75VvKdp5DacDVqe1rP4DpAVo4q7WHmjf4lGOWHtqfVVLihejKQjKD5c033+SSSy5h9OjR6HRKq1C328306dN5802ls0VERAT//neADxp1fPzxx6xevZoVK1Y06thPPfUUjzwS4E2vu7GXKzmnC+9T0n/0EUqazoQbwFynVWt1MCSYynzQRSjt5/78HxTvUp6OD7tAeUqft6F2W6/Hv/ZEWKwyQyYYa5FSLFd0C536/CzNCr7ObQcCBCnKDvg/4fK6oTy7/nY+X/B8blCCoJu/gqw/lcJ7k26Bvscq6T/rPoKKPCWAMuRsWPovJRhzOHMPuPAjpUbMqreUdKeRFyuBHYvkfYv2OTftLm+jAix6rYbCygbODyG6uE597ewIctYo96MzX4F1n0BVPqSMgUFnKMGSqHT45lbYuVjZvu90OP4xcFkD72/zVzD4bDj/Q1jzDpTuV2aPDjsflr8MUT2Vpg9bvlLui9MnwknPKOlAWkkFEqKrCUmAJSkpicWLF7N161a2b98OQGZmJpmZmTXbHHPMMUfcz/79+7n11ltZvHgxRqOxUce+7777uOOOO2q+Ly8v756divYsgU8uqv3eWQl//Ady1sI5b0HEYXUhTNHKbBRvkCeEkcmwfSH89i848RmlBsRvzyl1V+q2r9NH+NecKNmjXMCCiesH2sb924rOr1Ofn8kB2jhWC48HV4BAZfJw/1bLOiMkDYec1f7bue3KeRis8HNkUm0gszIfFv0dxl4FKo1SADdlDBRuh4/OB1248lWXuQeMugQGnAL4lDQimbkiDmmPc9PeyBQho06N1SmBeNF9deprZ0eQNBTeOkGpgTL4TEgbp6TFf3QBzPoM3j7Zf4bqzh+UDkKRScoDjEA8dvjhKeVhR/IIpUbLJxcr11WtATYd1kko60948zi4dinEZwbenxCi0wpJgKXagAEDGDCg+TmGq1atIj8/n1GjRtUs83g8LFmyhBdffBGHw4FG41+7w2AwYDAYmn3MLqEiV5m5EsjeJUp6wOEBlvA4GHYhrH2//vaZJ8PWb5UIP8C8a+DaJcoslrrBFVAKgekjlSKbJXuUp/5hscqHu0AzWY5/THkiL7qFTn1+RvdWbowKttVfN/EmWPNB/eXHPaLkWlcHL9U6OOp2JTh5uLUfKrPLArV9TBysBF7qFpteNQfOf1+5QTzcsXcqQdFgpN6KCKA9zk27u3EpQlKDRXR3nfra2RFE96q9fi9/tXZ5xnFK7TN7qXIv2muKEiDZ+5vSqW/izYHbKsdmKDO7S/bAyjf91026GXb/Wv81bgf8+jSc9l8wBHgIIoTotEJSg8Xj8fDmm28ya9YsjjvuOI499li/r8aaPn06GzZsYO3atTVfY8aM4aKLLmLt2rX1giviEEdlw+kMh7dqBeUD17R7Yfz1tbNJNDoYdSmMuxaW/a92W6NFeZJ+9N1KzQnVoT8pfYTSzi6yBzjK4NKvlCmWoDxtP+N/0POo2v2Ex8PMV5Vpk0J0BpFJcNHn0P+E2pkfxig48WnlXDi8lbm5B1zwkTLteOdPSsHoL65UCkHrTEoKT2RS7fYuK2SeqHQLqi6Op1IrAc7jHoEfH60/Hq8bUNWegwazsu2IC0ET0li6EM1id3nRaY48i0raNAshWiTY9XvijUqXvZP/qVw/vR6lHsuxDyjXcWel8v+maOU1KpVyb3vyPyG6p5KWW92kQR8Ok29XOmQGCsoA7PlVuUcWQnQpIbnrvvXWW5kzZw6nnHIKQ4YMQdXMaeiRkZEMGTLEb1l4eDixsbH1lovDaPRKoa1gtU3qto0FZQqkvRTOeh3wKR/ati8Ca6HyBD3nUMFilxWMZmUa5IiL4Pz3lAuSzwvrP1WK1t68WrnwnPO28nq3A0xRcN57YCtWak0YLcpTdnVIYn5CtI6odKVtsrUQXHal80BkshLQuOgzpVaK16XcuKnUMO86/85Am+ZBn2OU9J7pDyqBSbVGCVq+d5Zyg3fd7+AoB61J2dfrxwSvkxSZCDevOmwsSUpwVIhOoNEpQlo1dpnBIoRoierrd1Wh8kDEEKnci065Hf563f9avflLuHiuUtOs51FKQEWjV67X+/6ET2fDqc8rdVWOvlu5NzZEQHhi8OAKKKm5arlGC9HVhCTA8vHHH/Ppp59y8sknh+Jwoq7wOKXuSaCuJFpDbTeRahW5SivYsv1KwczDbftWaeM692rl+8gkpeaDRg8r3lC+DtfnGAiLU/7fZFG+/MYm6QmikzOala+6wmKVr2obPq/fdhmUZQNPhT9fUnK2D5cyGqIOy6sv2acEcIp21t9PdG/lqVp0r2b9GEK0N2UGSyO6COnUuDw+3B4v2kZsL4QQAQW6frusga/Vm+bC4JnKw8O66zV6SB2t3G+Hx/mvG3sVrHkv8PEn3eKfoi+E6BJCEmDR6/VkZGS0yb5/+eWXNtlvl6IPV56E562Hwh21yzU6uODj+vUZqoqUbj5H3wWpY5XaKjoj5K6HP/6rpDSoVErk/dx3wJIOsz6F9870r8MSla6kPtQNqgjR3dhKYfkrSj732Ktq03i8bqXz1sa50P/E2vQ7lUp5Gla3o0/1TLD3zlBmx1QzRcO5b0twRXRqjW3TrD+UDmx1eTBLgEUI0VwVB5UZqE4rhMeC3qzUMwtkw+dw8eeQuwEKttQuV2vh/A+C1zqL7gXTH4YfH/ZfPvA06D+j5T+DEKLDCUmA5W9/+xsvvPACL774YrPTg0QLRaXBpV8rnUX2/al8cOt1FJhT6reI83mUzkJ/vQZL/lm7PH2CslytVdJ7kkdCVKqyLmUM3LBcqYxevFupyJ4wSMlZFaK783qU4IolFebfrKT8gDId+fhHoWQvDDtPSSUyWaDvccrsMENE/X0lD4Mrf1DS9PI2KCl7KaOVGSxCdGJ2lweT7si11Aw6Jahic3owG2V6vRCiGQq3w8ezah88qtRKp6Bx18G+38Hn89/ebYefn1QeKJbuU2q1WHoo1/bIZGVGeCCmKBh7pdKxb8ci5UFkv+OV+4G6s12EEF1CSAIsv/32Gz///DPff/89gwcPRqfzvyGaO3dukFeKVmVOVr76TG14O1MM/PQY7PrJf3nWMljyDMx8HWJ6+a/TaJWn69E9W3XIQnQJpmildeO7p/nftNnL4Jvb4LLvIX4gTBvUuP3F9lW+hp7TJsMVoj3YXR4spiMHTIyHgjBS6FYI0SxlB+Cd05WU+Go+L6x6W7kH7n8ibPu+/uv6naAERqLTofeUxh+vOhUpvn/Lxy6E6PBCEmCJiopi5syZoTiUaA1uB+xYHHjd/r+UKupVRcp0SiHEkbntSuvGuk/EQFm26m3oMVJJxWsLXg9UFSg3kAZz4JkxQrQzu8vbqBQhw6FtrM4ghduFEKIhhTv8gyuHW/G60umyboDFnHKoS9AR3qMqC5SC9Fqj0pVTCNHthCTA8vbbb4fiMKK1OCoaXl+4XUlzOOZ+SB1T265OCBGYywoF24KvL9iqbNMWAZbyXKVY9V+vKed232PhmP+DmL6glfQK0XHY3Y2rwWLUKjNYbDKDRQjRHIUNXI8d5coM0cm3HWr04IOh58P4a/yLztdVVQi7f4Ffn4aybEgcAsc9DEnDwBjZuuMXQnRoIasO53a7+eGHH3j11VepqFA+wOfk5FBZWRmqIYjGMpqVIpvB6MMhZzV8cI7SmcjtDN3YhOiM9GFKTaJgEgYr27S2ijz49FL48RHlaZ2zErbMh9emQtGOI79eiBBqbJvm6hoskiIkhGiW+AHB1xktSsvmY/8O1/wK1yyB4x5SGjcEY6+A35+HL65UHkK6rJD9F8w5GXb9AF5vq/8IQoiOKyQBln379jF06FDOOOMMbrzxRgoKCgB4+umnufPOO0MxBNEU4fEw4NTA63pOhtx1td+v+QDsJaEZlxCdlS4MjrotcOBSpYZJNynTiVtbwTblJq8utx1+eBjs5a1/TCGaydHkFCEJsAghmiGun1JLJZBJtyhFazW62tqFmiPM9qwqgD9fDLzu+7uhMkg6khCiSwpJgOXWW29lzJgxlJSUYDKZapbPnDmTH3/8MRRD6B4q8mDvb7DoQfj9P0qOqaMZM4SMZjjpmfpBlt5TlQ+Jf/xHSQ2a9QkMOgN+ewE2faVMiRSisys7ANu+g4V/h5VvQ/Fe8LTCLK2YPkorx8NT6sJi4IKPgncAKs+B7YuUsfz1BhTvAZe98cfcMj/4up2Lj5wOKEQI2d2NnMGirS5yKzVYhBDNYO4Bl8xTuvBVU2th3LUw6lKlcUNTFO0IXGMNoDIfbPIgUojuJCQ1WJYuXcoff/yBXu/fDrhXr14cOHAgFEPo+spzlHZzOWtqly1+AE5/EQbPbHpRS3MPpcjX8Y8oeaX2UsheCZ9dDtG9lNzUzy5XpkECLHtJmfly2XdSJV10XsW74Z3T/IOFGj1c/AWkT2r6Tdfh9OFKB4LrflPOKVDOmcgkUAdoTVuyD949XWnhXDMWHVzwMfQ+un579UAMluDrdGENpwIKEUIerw+Xx9eoGSw6jQq1SmawCCGayVGpPLAYPgti+yip7lo9ZC1XHjxEJDRtf7ojpPiqpd6ZEN1JSAIsXq8Xj6f+jVB2djaRkVL4qcU8Llj+qn9wpdr8myB9Ahj6NX2/JovypTPBa5coUXiAybfC17fWBleqVRXA3Kvg4nnSYUh0PrZS+Pq2+jOxPE746EK4YVnDBe4aQ6NVpiUHm5pczVEBC+7zD66Acq5/chHc+FfjWqIPOQt++3fgdaNmQ1hco4YtRFuzu5R7hMYEWFQqFQatRorcCiGapyIXPrk48OzUop1w2n8hvAkdgKJ7gT5CqXNWV9JQCJN7YiG6k5CkCM2YMYPnn3++5nuVSkVlZSUPPfQQJ598ciiG0LVV5istYIPZ+k3L9h+RDOe+C1qD8jRfowdrUeBtc9eBtbBlxxOiPViLYM+vgdc5K5WUu1CpKoLt3wde57ZD3obG7ceSCtPur788rj9MvKFxs2CECIGaAEsjUoQAjDq1zGARQjRP9srgqb/bvwdbE+9jI5Lg3DlKmtHhjFEw81UIl4cZQnQnIZnB8u9//5sTTjiBQYMGYbfbmTVrFjt27CAuLo6PPvooFEPo2nzehmspVBxs2f7VakgZozzB37YAvEe4qXU7WnY8IdqD5wh/t6HMofY6lfM6GGtx4/ZjioLx10LmSbDmPWWW2ZBzIGWUkgYoRAdha8IMFgCjToPVJTVYhBDNEOwhISj3uB5X0/an1UGvKXDjctjwOeRvUb7vPwMsLZz5KoTodEISYElNTWXdunV8/PHHrF+/nsrKSq688kouuugiv6K3opn04ZA2HvYvD7y+/4ktP4ZWpxTpnHgDFO1SajcEKuhlMPsX8RSiszBYlJooVQWB1ycNCd1Y9JHK7JNghaNTRjZ+X6Yo5Sv5n8o5K3VXRAdkdykBxcbOYDFo1ZIiJIRonvTxwddF91buq5tKZ4TYDJh2r9KWWR2SJAEhRAcUkgALgFar5eKLLw7V4boPj0v50DTjCZhzMvSbAT1GgMsGm79SWr8mZLbuMcPjYfQVgdOSpj+gFO0UorOJTIYTnoS5V9dfN+Rs5e++qaxFyo2WKbq2QK7XC7ZDM1DCYgMHPMzJcOLTSr2VuvqfoIy1OSS4Ijqo6hQhgy5AwecADFoNVQ4JsAghmiGyh9IZs3gXDD4LjBYo2AJbvobjH1VqqrSEBFeE6NbaLMAyf34D7UHrOP3009tqGF1byT5YNQe2fq1UQr92Cax4A9Z9rFwsJt+mdBtp7oexYIxmJUIf118poFmZr0T8j3tIuWBppFq66ITUaiVAeeEnSgeuwu1KG+WJt8DIWcr/N1ZFHuz+FZa/rNRvGXiG0vpRa4CNX8Ca95XtRl0KA08HS0r9ffQ+WikYveh+ZbqxKRrGXw+jZ0s+t+hymlqDxaBTY5MUISFEc1hS4PT/woHVsOI1qDwIqePgqh8hPLG9RyeE6OTaLMBy5plnNmo7lUoVsMOQOILiPfDGdOUJuSESkofDWyeAvax2mwOrlMj8yf9s/Q9kEQkw7hoYdAZ4XaAxQKRclEQnZ4qCzBOVGiVuu1KwLiIxcBvlYCrz4csbYNePtcuW/gtWz4Fz5sAPD9cW11twrxIkvXhu/SCL0QwZx0LS1+C2gerQWDRNGIsQnURTa7AYtGqsMoNFCNEc5Xnw54vw12u1y4p2waa5MPsbiGxim2YhhDhMm81h83q9jfqS4EozOG2w9N+1RbqGnQ8rXvcPrlTbNBdKs9pmHGq1ksoQlS7BFdG1RCQof9fmHk0LrgAUbPMPrlSrKoS17ytBSb/tt8LOHxoYS7wyFksPCa6ILqu6nkrjAywaqpwyg0UI0Qy2Iv/gSjW3A76/B8oOhH5MQoguQ5IEOyNbCWyaV/t9r6Ngx6Lg22/6ss2HJIQ4ZO2Hwddt/Q76TKu/fM27oe1SJEQHY2tGm2apwSKEaJa9vwVfl7MaHOWhG4sQosuRAEtnpML/qbrPB6oG/ik1IatlLIRQN3C+qTWB2y+rNMjbsejOHIe6CBma0qZZZrAIIZqjoXtmZYOQDEMI0TXJHX1nFBarpAVV2/0zDDg1+PaDzmzzIQkhDhkZoPNPtYGnB04HGnslmCxtNyYhOjiby4NOo0KtbtwHG4NWUzPrRQghmqTXlOBd9dInKI0ihBCimSTA0hlpDTDpZrCkKt9v+FzpRhIRoCjXmCtrtxNCtL2YvjDknPrLLWkw7DzY+q3/8tRx0Ovo0IxNiA7K5vJg0Da+xpBRJ0VuhRDNFB4HR99Tf7khEk58WqkvKIQQzSS5I51VVDpcvgC2fQ8bP1eCLJfOhx2LlbbNphiYeCMkDGpae1khRMtExMOJT8GIC+HP/yltmoeeC5kngVoHM1+FVW8DKhhzBaRPlJs50e3ZnJ5GpweBMoPF6vTg8/lQBXsSLYQQgYTHwZjLoPcUWPYKVB2E9MnKDNTo3u09OiFEJ9dmAZby8sYXiDKbzW01jK4tKg3GXQ3DL1BqO+jDIS4TRs9WPsjpw9p7hEJ0TxEJkHGcEjzxusFgrp2OPPQc6H8CoAJDRLsOU4iOwu7yNLqDECgzWDw+Hw63F6NOumsJIZooMln5ShoGbjsYo0Crb+9RCSG6gDYLsERFRR3xqVL1kydp1dwCKhUYDwtQqdX+uaM+HzirQKOXC4cQoaYPD7zcEBl4ubNKKZKrNbTdmITogJQUoaYEWJSgitXpkQCLEKL5jGYgyINel1X5r04eWAohGq/NAiw///xzm+z35Zdf5uWXX2bv3r0ADB48mAcffJCTTjqpTY7XqZVmwdZvlDSi8AQYfx3EZkBYdHuPTAhxuLJs2PkTbPpCme0y/lqIH6BMYxaiG7A5mzqDRQmqVDncxITLwwMhRCuqyIMDq2Hlm8r3oy+H1DEQmdS+4xJCdAptFmCZOnVqm+w3NTWVf/zjH/Tr1w+fz8c777zDGWecwZo1axg8eHCbHLNTKtoFb82AqsLaZRs/h2n3K4EW6VgiRMdQuh/mnAKl+2qXbZmv3NBNf0DpGiZEF9fkIreHgjFWp8yAFUK0ooo8+PwK2Pd77bKdP0DaBDh3jtRME0IcUUiL3FqtVrKysnA6nX7Lhw0b1uh9nHbaaX7fP/HEE7z88sssW7ZMAizVHBWw+AH/4Eq1X56EwWdKgEWIjsDtgD/+4x9cqbbqbaU7mARYRDfQ7BksTndbDUkI0R3t/c0/uFJt/zLY86tS91AIIRoQkgBLQUEBl19+Od9//33A9c2tweLxePjss8+oqqpi4sSJAbdxOBw4HI6a75tSfLfTspYoaUHB7PwR4jNDNx4hguiW5+fhrEWw7qPg69d9DCmjQjceIQ4J9blpdXrQa5pW5BaUwIwQ3U23v3a2FXsZrHg9+Pq/XoN+J0iqvRCiQY2/m2mB2267jdLSUpYvX47JZGLBggW888479OvXj/nz5zd5fxs2bCAiIgKDwcB1113HvHnzGDRoUMBtn3rqKSwWS81XWlpaS3+cTsALPm/w1W5H8HVChFD3PD8P4/OBxxV8vdseurEIcZhQn5tWp7tpbZoPq8EiRHfT7a+dbcXrbfia7HUDDdxfCyEEIQqw/PTTTzz77LOMGTMGtVpNz549ufjii3nmmWd46qmnmry/zMxM1q5dy/Lly7n++uuZPXs2mzdvDrjtfffdR1lZWc3X/v37W/rjdHxGC/ScHHx9v+mhG4sQDeiW5+fhTFEw4LTg64edF7KhCHG4UJ+bNpenJmjSGEatpAiJ7qvbXzvbiikKhl8YfP2wC8AUE7LhCCE6p5CkCFVVVZGQkABAdHQ0BQUF9O/fn6FDh7J69eom70+v15ORkQHA6NGjWbFiBS+88AKvvvpqvW0NBgMGQzdreWqKhpOehjeOq/8EfOj5YE5pn3EJUUe3PD8Ppw+HY+6FnYuUqcmH6zMN4vq3y7CECPW5aXM2rU2zTqNCrYJKh6QIie6n218724pKBZknw/KXlWYRh4vuDYNOV7YRQogGhCTAkpmZybZt2+jVqxfDhw/n1VdfpVevXrzyyiskJ7e8GrfX6/XLRRVA/EC47jf4/QXY/YtSKHPyLdBrihTNFKIjie4D1/wKy1+Bbd+BPgLGXw/9Z0BEQnuPToiQsDYxwKJSqTDpNNhkBosQojVZUuDS+bD+M1j7npLKO+IipbitJbW9RyeE6ARCEmC59dZbyc3NBeChhx7ixBNP5IMPPkCv1zNnzpwm7eu+++7jpJNOIj09nYqKCj788EN++eUXFi5c2AYj78Q0WojrByf9ExxloNFJYEWIjkithpjecNyjcNQdoNZAeFx7j0qIkLI3sU0zKJ2EqmQGixCitVlSlYeSI2aBCgiLU67NQgjRCCEJsFx88cU1/z969Gj27dvH1q1bSU9PJy6uaR8k8vPzufTSS8nNzcVisTBs2DAWLlzI8ccf39rD7hr0JuVLCNGx6QygS2zvUQgRcj6fT5nBomtaWTglwCIzWIQQbUCtgUi5Jgshmi4kRW4fffRRrFZrzfdhYWGMGjWK8PBwHn300Sbt680332Tv3r04HA7y8/P54YcfJLgihBBCdFIOtxcfNClFCJRWzVLkVgghhBAdSUgCLI888giVlZX1llutVh555JFQDEEIIYQQHZDVqaT5GCVFqO153LDhc/jubvj9P2Arae8RCSGEEF1KSFKEfD4fqgBVt9etW0dMjLQ7E0IIIbqr6jSfpqYIGbSSItQkJfvgk4sgbwNY0qEyD5a9DLO/hriM9h6dEEII0SW0aYAlOjoalUqFSqWif//+fkEWj8dDZWUl1113XVsOQQghhBAdmM11aAaLrmkzWEw6NZUSYGmcwh0w5xRQqeGUZ5UW8FWF8MOD8OG5cO1SMES09yiFEEKITq9NAyzPP/88Pp+PK664gkceeQSLxVKzTq/X06tXLyZOnNiWQxBCCCFEB1Yzg6XJNVg0HCy3t8WQupbyHHj3DNAaYcbjYIpWlofHwTH/B/Nvhl+fhhmPte84hRBCiC6gTQMss2fPBqB3795MnjwZrTYkGUlCCCGE6CRszubNYDHqNDKD5UicVfDheeBxwownaoMr1cwpMOQcWP4KTLgezD3aZ5xCCCFEFxGSIrdTp05l3759/P3vf+fCCy8kPz8fgO+//55NmzaFYghCCCGE6ICqDgVYmjODpfq1IgCfD+ZdB4U74dgHlRkrgQw6EzR6pR6LEEIIIVokJAGWX3/9laFDh7J8+XLmzp1b01Fo3bp1PPTQQ6EYghBCCCE6IOuhVssmfVNrsEiR2wYt/RdsmQ9T7oCY3sG304dBvxmw+l1w2UI3PiGEEKILCkmA5d577+Xxxx9n8eLF6PX6muXHHnssy5YtC8UQhBBCCNEBVTk8qAC9pokzWPRqrE4PXq+vbQbWme34AX56AoZfCOmNqHXX/wSwl8LWb9t8aEIIIURXFpIAy4YNG5g5c2a95QkJCRQWFoZiCEIIIYTogKxON0adxq/TYGOYDtVssbokTchP6X744kpIHaMEWBrDnAIJg2DdR207NiGEEKKLC0mAJSoqitzc3HrL16xZQ0pKSiiGIIQQQogOqMrhqQmWNEV1UVxJEzqMxw2fXwFaPRx1h9KWubF6T4VdP4O1uO3GJ4QQQnRxIQmwXHDBBdxzzz3k5eWhUqnwer38/vvv3HnnnVx66aWhGIIQQgghOqAqpxujrum3I9VBGekkdJjfnoMDK2HKnWCIbNpre04Cn1fShIQQQogWCEmA5cknn2TAgAGkpaVRWVnJoEGDOProo5k0aRJ///vfQzEEIYQQQnRAlQ53k1s0Q21R3Eq7BFgAyN8Cvz6ttF1OGNT015uiIXEQbJMAixBCCNFc2lAcRK/X8/rrr/PAAw+wceNGKisrGTlyJP369QvF4YUQQgjRQVU1N8AiKUK1fD745naITGp83ZVAUsfDug/AaVW6CwkhhBCiSUISYKmWnp5OWloaQJOL2QkhhBCi61ECLM1PEaqQAAtsmgdZf8Lxj4NG1/z9pI6FVW/B3t+g/4zWG58QQgjRTYQswPLmm2/y3HPPsWPHDgD69evHbbfdxlVXXRWqIQghhBCig6mwu5tV5LY6Rajbz2DxuOGnx5TgSI8RLduXJRUikmDn4mYFWBweB/lV+ZQ5yyh3llPmKKPQVkixvZhKZyVatZak8CTGJ49nQMyAlo1VCCGE6IBCEmB58MEHefbZZ7n55puZOHEiAH/++Se33347WVlZPProo6EYhhBCCCE6mEqHm2SLscmv02nUaDUqKrp7DZYNn0Lxbph8W8v3pVIpQZqdPzT6JaX2Uj7c+iGL9i5id9lufPj81uvVeiwGCyatCY/PQ4G1AKfXyciEkTww4QH6RUu6uBBCiK4jJAGWl19+mddff50LL6zNCz799NMZNmwYN998swRYhBBCiG6qwu6mT1zTZ7AAhOk03buLkNcLS5+FtPEQ06d19tljFGxfAKVZEJXe4KZ/5PzBPUvuwe62MzpxNFNSpxBniiNcF17zZdQY/dLC3V43Gwo3MHfHXC789kKePvpppqdPb52xCyGEEO0sJAEWl8vFmDFj6i0fPXo0bnc3vjESQgghurnmdhECCNNru/cMlp0/QNEOGPt06+0zaRio1LD7Fxh1adDNlmQv4ZafbmFQ7CCuGHIFFoOlUbvXqrWMTBjJ4NjBvLHhDf72y994cfqLHJVyVCv9AEIIIUT7CUmb5ksuuYSXX3653vLXXnuNiy66KBRDEEIIIUQHVGl3E6Zv3vMek15Dhd3VyiPqRJa/AnH9m9eWORhDBMRmwO5fg26SVZ7FXb/exdC4odwy8pZGB1cOp9fouXbYtQyJG8Kdv97J/vL9LRm1EEII0SGEJMACSpHbIUOGcNVVV3HVVVcxdOhQXn/9ddRqNXfccUfNlxBCCCG6B4fbg9PjJUzfvBkspu6cIlS8B3b9CP1PUmqntKakYbDnV6X9cx0+n4+///53IvQRXD3sajTq5v3bAWjUGq4Zdg3hunDuWXoPbm83/bcUQgjRZYQkRWjjxo2MGjUKgF27dgEQFxdHXFwcGzdurNlOWjcLIYQQ3UflofQeU3MDLHoNFbZuOoNlzXugj4DeU1p/30nDYOPnULANEvy7/Xy751vW5K/hrjF3YdKaWnwok9bEVUOv4qnlT/Hhlg+5dHDwtCQhhBCiowtJgOXnn38OxWGEEEII0YlU109p7gyWMJ2Giu44g8XrgbUfQa8poG16B6YjShgEag3sXeoXYHF5Xby45kVGJYxiYOzAVjtcRlQGx6Qdw0trX+LkPicTZ4prtX0LIYQQoRSyFKHW8tRTTzF27FgiIyNJSEjgzDPPZNu2be09LCGEEEI0Ufmh+iktqcFS1h1nsOxZAhU5kHFc2+xfZ4S4TNj7m9/i7/d8z4HKA5yRcUarH/LMjDNRq9S8tPalVt+3EEIIESqdLsDy66+/cuONN7Js2TIWL16My+VixowZVFVVtffQhBBCCNEE5TZl9kl4c2ewdNcuQus/AXOKUuC2rSQOUWawHKrD4vP5eGfTOwyLG0ZaZFqrHy5CH8EpfU5h7o657C3b2+r7F0IIIUKh0wVYFixYwGWXXcbgwYMZPnw4c+bMISsri1WrVrX30IQQQgjRBC2dwRKm19TUcek2XDbY8jX0ntr6xW0PlzgErEVQuB2ANflr2F6yneN7Ht9mhzw27ViiDFG8su6VNjuGEEII0ZY6XYClrrKyMgBiYmLaeSSh4/X68HrrV/YPxu31tuFohBAiuLZ8//F4vfgCdDkRnUd1ek+za7AYlC5CTbkmdno7FoGzUgmwtKWEgbV1WIDPtn9GYlhiq9ZeqUun0XFy75P5fu/3MoulA2rO+7nP58Mj96FCiG4kJEVu24rX6+W2225j8uTJDBkyJOA2DocDh8NR8315eXmohtfqDpbb2XigjM9XZROm1zBrfE96x4URE24IuH1OqY1lu4tYuCmPJLOR88elkxZlItKkC/HIhQisK52fopbN5SGnxMYXq7PZVVDJxL6xTB+QSGq0qVW6xeWU2li+p4gFGw+SaDZwwdh00qLlva01hercLLO5CNdrUKub93cRrtfiAyocbizd5d9/4xcQmwGWlLY9js4Esf1h3x9UDD+fRfsWcVqf01Cr2vbZ3JSUKXyz+xve3Pgmj01+rE2P1VmF+tp5oNTGsl1FLNqcR/Kh+8mUaBNmY/BzrrjKyd6iKj5ankWlw81Zo1IZlmoh0dwGRZmFEKID6dQBlhtvvJGNGzfy22+/Bd3mqaee4pFHHgnhqNpGXpmda95dwfoDtRfRL1Yf4IKxadx9Yma9IEtWcRXnv7qM3DJ7zbJ3/tzHQ6cN4tzRqUQ0cFEUIlS6yvkpajndHn7bUci1762kelLBwk0HeXbRdj69biIDkswt2v/+Yivnv/onOYe9t7375z7+fspAzh+bRqS8t7WKUJ2bZTYX4Ybm34pUz3wpt7m6R4DFUQnbF8LwC0JzvMRBsPc3Fu9dhMvjYlKPSW1+SJ1Gx4yeM5i7cy43jriRpPCkNj9mZxPKa2dWURXnvbqMvPLa99w5f+7jkdMHc/boVCICnL/FVU6eXbyd95ftq1n2/cY8Bvcw8+bsMSRZWt7eWwghOqpOmyJ000038c033/Dzzz+TmpoadLv77ruPsrKymq/9+/eHcJStw+v18dXaA37BlWofr9jP7gL/Ar9Wp5tnFmzzC65Ue+TrzeRXOOotF6I9dIXzU/jLr3Bw80erqZuxUW5387dP11Fc1fz3H6vDzb8WbfMLrlR7/Nst8t7WikJ1bpZaXUQamx9gqQ7OdJtOQtsXgNuutGcOhcQhUHmQvzZ/woCYAUQbo0Ny2KlpU9Gr9Xyw5YOQHK+zCdX5WeVw89T3W/2CK9Ue/noTBUHec/cWVfkFV6ptyinni1XZeLpTSp8QotvpdAEWn8/HTTfdxLx58/jpp5/o3bt3g9sbDAbMZrPfV2dTWOng/eX1L1TV3lu2zy8vtrjKyYKNeUG3X7qjsFXHJ0RzdYXzU/jbU1iF3RU4335TTjklVc3/IFxidfLt+tyg63/Zlt/sfQt/oTo3y2xOwptZ4BaoeXpe3l0CLJvmKZ2DIhJDc7yEQfhUagzZKxifPD40xwRMWhNT06by6bZPqXRWhuy4nUWozs/iKieLNh8MuM7ng9931r+f9Hp9fLQ8K+g+31+eRWGlBMOFEF1Xpwuw3Hjjjbz//vt8+OGHREZGkpeXR15eHjabrb2H1ma8PrA7gxcIq3K4Obx+mNcH7gaeDlQ6ulnHBSFEyNicngbXN/TedCRHem+rsjd8bNHxFFe5iJAZLI3jqICdi6HnUaE7pj6cioh4xtidjEoYFbrjAselH4fT4+SLHV+E9Liiltfna3C2SaD7SR8+Khq4z7S5PEhtciFEV9bpAiwvv/wyZWVlTJs2jeTk5JqvTz75pL2H1maiwnTMGBT8adVZo1LRa2v/KSMNWkamRwXdfkq/uNYcnhBC1OiXGBm0c2yi2YDF1PwP05FGLaN7Bk9RmJYZ3+x9i/ZRVOloUd2cML0GFVDaHQIs2xaA2wG9QhhgAbbqNEx0uonQR4T0uNHGaMYlj+P9ze/j9sqDofYQadQyLNUSdP1RGfXvJzVqNWeNDF6AecagxBZdB4QQoqPrdAEWn88X8Ouyyy5r76G1GaNOw9VT+2AOcEHqnxjBqDrBlOhwPQ+fNhhtgK4Mxw1MICUqeHGxg+U29hVVcaC0cTOCiiod5JbZKLU6G7W9EKLrKalykltmo6jSQVyEnquP6hNwu8fOGNKiDhJRYcp7m05T/73tmMx4UqJNlFqVscgU9M6hxOoMWCSzsdQqFRFGLSXd4Rq08XOIHwARCSE7ZJmzjGXeKuKcdvTlwVOP28qMnjPIs+bxY9aPIT+2gJhwA4+eHvh+8oRBifSIUt7P694LDkuNYmByZL3XRBq0XD8tA5Nei9XpJq/MRn65XWqyCCG6FAkhdxI9Y8KYf+NRvPzLThZuPohBq+bCcemcPzYtYDX2jIRw5t04mecXb2fF3mKiw/VcMqEnJw5JIjaiflvnwgo7Ww9W8uyi7WzLKycl2sT1U/syoW8syQH2X1Ll4M/dxbzwww6yS6xkJkdyzwkDGNTDLF08hOgmym0uNh4o45mF29hxsIL02DBuP64/l07sSWZSBK8t2UNOqY1BPczccXx/+iVGtLhNc9/4MObdMJnnf9jOX3uKiQpT3ttOGpLE3oIqnlq4lS05ynvYrdP7MbFvHDHh+lb6iUVr8np9lFpdAR8eNEWEQUuptYvPYLGVwM4fYfRlIT3s2vy17NTr8aEiMmcdRebQdvRJN6czIGYA72x6hxN6nRDSYwtFRkIEc2+YxPOLd7Byn3I/OXtiT04YnIQK+G5DbsB7wVcvGc2nK7L5fFU2NpeHYwckcMO0vqRYDOzMr+T5H7bz67YCwg1aZk/qxcyRKSRZpIWzEKLzU/l83SsTsry8HIvFQllZWacsqGl3eSi1ulCpIC5cj0YTeBLSuv2lzH7rL84YmcLA5EiqHG7mr80hLsLAM+cM8wuyuN1evl6fw+2frqu3n6un9OH6qX2IOWz7KoebV5fs5j8/7qi3/QsXjODUYT3QBHjaIcSRdPbzsztxe7x8tTaHv31W/33j5mMzcLi8RIXpiI0wsLewis9XZfPEzCEcPyixRUGW9dnKe9tpw3swqIeZKoebr9flEmXSMSkjjie/2+K3/Q3T+nLDtL7Smr6F2uLcLLU6GfHoYm6d3o8JfWKbvZ+H5m9keGoU/zx3eKuMq0Na/S7MvwXOnQNhzf9dNdVzq56n1FHCfQfzqEgewt5j7grZsautzV/Lf9b8h/dOeo8RCSNCfvzOoC2vnWuzSrh8zgpOH6HcT1ba3cxfl0Oi2cDFE3oy+60V9V7z/AUj+G17Abnldk4YnIROo2bl3mJW7S3h5UtGM/N/v9crhj4qPYpXLh5NQgtmOQohREfQ6VKEujujTkOSxUii2Rg0uGJzutmUU0qF08U363KYt/oAc1cfYF12GT9uza+X/pNdauPxb7cE3Ndbv++huM7U68JKBy/9vDPg9g/P38TBAO38hBBdy8EKB498synguld+3cW4PjHMXXOAuauz+XLtAQoqHTzw1cYWvT+UWJ08/PUmSqwuvlmfe9h7Wym/bC8gNdpEuF5TbyxFVd0gfaQTqk7jijK1LPgVYdDWu051Oes/heRhIQ2u2Dx2NhdvJiOqH9bYPpgPrAnZsQ83LH4YSWFJvLf5vXY5fndWXOXgga+U99ycUitmow6NGtZnl7F4cz52lxeTTlPvdY9+vZmj+sWzbHcxc1cr14FFmw4ydUAC/160LWCnudVZpezIl45RQojOT1KEOrDiKgc5pXYWbz6IQavihMFJFFtd/LD5IEadhhMGJxIfaSA+Uon2ZxVVsa/Yyq/bCkiyGFl821T2FlXxy7YCYsL13HVCJh8uz2Lp9kKGpUbVHKfM5gr6AcTj9bG7oIqMhNpc2v3F1qD5siVWF6VWJz0aqPMihGh/Sq0SOz9sPojH5+P4gYkkR5nw+nzsL7by09Z8wg1ajhuYSILZgM3pYUd+JX/sLCTZYmR871hGp8fwc4DWyMNTo0i2GDlnVCo5ZTbOGNEDs1HHH7sKKbe5+X7jHgornEzpH0ef+HASIhv3xLLS7mbnwUqePnsYOo2KddllRIfpuHNGJh+vyGJ1VgmZSWZWZ5XUvMbrU1pH94wNb7XfnWgdBRXKdcfSwgBLpFFHUWUXDrCUZcPe32DSLSE97MaCjbi9bvrH9MPqMxKzZyn68lyc5uSQjkOtUnNcz+P4cOuHZFdkkxqZGtLjd2cVdjcmnZqf75zKnkIrv+8sINFsZPHtR5NTamXZ7hL6JUawPrvM73XFVcp94OuXjmHl3mJsLg+XTepNSrSRi15fHvR4y3YX0is2nLX7S9h4oJyByZGM6hlND4sJtcyMFkJ0EhJg6aAKKhw8/s1mvlqXA8C/zxvOI19vZsmOwpptXvhxBzcfm8ElE3pid3m46aM1rM8uQ69R88olo7n+/dVsO1hRs71apRSZjIv0r0egDVAw8nCmOk+EDQGeVvjtTy0To4ToyIqrHLz4007e+n1vzbLnf9jBR1eP55VfdvPrjoKa5f/4fiv3njQAh8vDcz/UpgVq1CqenDkUr8/Hr9trtx+WauGKo3pz9st/+D2lnDU+jVHp0ZzwwpKaFp0v/bKToSlmXr90TMBaUnWpVfDCBSN5ZuFWtuT6v7c9cvoQTHo1y3YX1Xud8QjvWaJ95Fcos5ksYS0LsJiNWnYXduEn3+s/Aa0eek4O6WHXFKwhISwBi96CNVaHDxXmnLUUhjjAAjA5ZTJf7fyKD7Z8wD3j7gn58bsrtUrFM+cM55r3VrL9YO059vSCbTx33nBOHZ4cMMh++eRe/LWniH8t2l6z7O3f9zKlXxxPnzOMmz6sPxsqJcrE0f0TOPW/Syk5rKaS2ajl42smMKhH8G5GQgjRkcgn4Q5q+Z6imuDK0BQLeWV2v+BKtf/+tJNSm5N3/txb8wTh5KHJfLM+xy+4AsqT3Afnb6JvvH+rxagwHf0TA7dfjDBoSY32/+DTI8pEZJCuD33jI6SgpBAd3NbcCr/gCsCo9GiW7yn2C65U+8f3WxmYbMZwWDt4j9fH37/cwKUTe/pte83Rfbj3i/V+wRWVCmYMSuKuL9ZTt+rXhgPlvL50D06354jjjjRqWbAxzy+4Asp720PzNzIo2cLmnHK/deF6DWnRMqOuIyqocGDUqQnTt+xZj9nUhWew+Hyw5n0luKIPC9lhPT4P6wrWkRGVAYBXH4bdkkrkgfo1l0LBoDEwLW0aX+z4gjJH2ZFfIFqFUafhvz/t8AuugPL+f/un69Br1PXuNY06NVP6xfkFV6ot3VFIdomNkWlR9dZdfXQf7vl8vV9wBaDc7uaa91ZJ+rkQotOQGSwdTH6FnUq7m9eW7K5ZdsqwZD5bub/etqPSo7hofE+8XvhkRXbN8uMGJgQsPAnKRfHPXUVo1WoiDFrsbg+Vdjf/uWAkm3LKiDTpcHt86DQqfttRyJR+cSTVmb6fGGngxVmjuPKdFbgPSxWKMGh54YIRxEXW71IkhOgYbE4Pb/y2u97y04Yn8+ZvexieauGSiT0J02vRqlXsLqjinT/38uPWfKb0i+OHLbVPK10eH3sKq+gVG8beIisRBi1ujw+tWs0LF4wgIyECm9NDdJiehZvy6gVXqn30VxZXHtU7YGrhnsJKKuxuNIfa8a7YWxxwH14fLN1RQGZSZE0ARqNW8d9Zo4KmIJVanZRUObG7vZhNOhIjDWiD1LYKxuP1cbDcTrnNhV6rJjpcT3SYBJkbI7fM3ioB+agwPVanB6vT3eJgTYezdykU74axV4f0sNtLdmB1Wel3KMACYI3ri/nAaiXo08JuYM0xPX06C/cu5OOtH3Pt8GtDfvzuILvESqnVhc8HUWFaXB4fX6/L5eh+cZw7Jg21SoVeq2JNVikfLM/iz11FvHHpGDxeH26vD7VKRV6plR+35JNsMTJ7Ui/6xIXj9vqocrh5b9k+PlyexY3H9GXN/lK/Yw9MimR3YVWQcdkoqnSQKAVwhRCdQBe7E+m8nG4P6/aXcefn67hwbLpfy8lALSgvHJfG4B4W/vH9Vh4+fTCVDnfNOrVahcNdv4BYtf0lNtZnl7I5t5x3/tiHzeVBpYLpAxK4eEJP7vx0DVVODycNSSIzyYypzmwVrUbNgKRIPrp6Ags357G/2MaApEimZcaTLC32hOjQnB5vwJa2YXotU/vHMyTFwjMLtpFfoRQgHdzDzBMzh7J0ewG2AB9ePV4ftxzbj4WbDzKmZxThBg2fXDuBfy7cxg9bDuL1wdT+cWQkBJ4lB2B1evDWqetUWGln1b5SHp6/idwy5cll/8QI7jt5IP/5cQcbDtR/il3lcHPTMRnMX5dLZmIEZ4xMISXKhE5bP2iSVWzlns/X8eduJWBjNmm58/hMThveg+hGfugvszlZvDmfJ77dXPPUdVTPKP51znD6xAf/eYUir8xOTCsEo6qL5OaXO+gV18Vua1a8CZY0SBwS0sOuyV+DWR9JYnhtW+aquH7E7voFY8k+7DG9QjoeALPBzOSUyby/5X0uGXQJYbrQzejp6mwONxtyyrj3iw01QY7UaBOvXjKaG47pi0at4v/mbaDcrtxrTugTw38vHMm2vHJMOg2XvPUXHq8Pg1bN02cNxaC18sTMofxr4TY25yqzChMiDdx+fH82HChlfJ9YXrl4NF+tPUB0uJ4Lx6b5PbALJFBhXCGE6IgkRaiDyCq2MeuNZewrsrIxp4zxvWNq1m08UMa4w77vYTEysU8sf/9yIwWVDrYfrGBUelTN+uwSG5mJkQRz6rBkNueW88qvu7G5lGn5Ph/8sCWffy3axu3H98fj9fHN+lzu+nwduXW6DhVXOfnbZ+s4/7U/2ZRTjkGrZsn2Amb+7w9e+nknNqc70GGFEB1AhEHLsQMS6i3fW1jFsQMSuG/uhprgCsCmnHJu+3gNZ41KYVOd9BuACX1iOWt0Kv+7aCRXH92X/gmR3PPFehZtVoIrABsPlDO4gfz5YakWwgz+dVL2Fdm47v1VNcEVgO0HK7nt4zX8bUb/gPuZlBHHKcN68L+LRnLHjEz6xkcErL+SV2Zj1uvLaoIrAOU2Nw/O3xSwnkAwK/aWcOdn6/ymtK/eV8r5ry0jp877pqhvf4mV2IiWz3isDoh1uRSCsmzY8jVknhzSGSM+fKw5uJq+URkcflRbTG+8ai2W7NUhG0tdJ/Y6kXJnOV/s+KLdxtAV7S+1ccmbf/nNIMkusVFhc2Ix6fj3ou01wRWAZbuLuX/eBqZlJvD091tqGh843F5e/GUXZ49K47aP19QEVwDyKxzcN3cDxw9MIj7CwIlDknhp1iieOHMIQ1OjiIsw+KWhHk6rVhEXITMDhRCdgwRY2kGJ1UlxlaPmguR0e3nrtz24PD4uGJPKWSNTuGpKbyYcCqp8tTaHC8amYdSpmZwRyxMzh1Jc5WRgciTT+scTadJy+/H90WlUHDcwAa1axRMzh9Aztv7TneGpFoxaDe8vywo4to0Hykm2mDBolRSinrHhVDrcVB02Q6ao0sFvOwvx+uDPXUXMX5dTM9Xz/WVZFHTVXHghOrEyq5OiSgden48zRqQQHaZjWKqFW6ZncOv0fvSMDePVX3cFfG253c1fe4qZMSiBO47vz1VTetPDYmRcrxhSo0xYnW5KrS6qHG7KHS5WZ5X6vb6oyonL42NQsrnevlUquPGYDNQqyC2zkVNqo6DCzn9+3BEwpajK6eHPXUVM6BPjt3xIihmzUZm9oDlCoe3tByvJLgkcAPnnwm0UVtgpOfT7CtYxrbDCwVPfbQ24rqDCwdo6099FfQdKbcS1QoAl9lCAJa+rBViWvQw6E2QcF9LD7q/IptBe5JceBODT6rHF9MacvSqk4zlcfFg8E5Mn8uaGN7G7u9i/dzuxudy8v2wfDreXYakWbj5WuSaM6RlNXISRV3/djVat4qQhSdxxfH+untKHlCgT2SU2skts9EkI55IJPbnj+P6cOzqVib1j+GNXkV9A5nCvLtlFuU25T1SrVagOBQ/jIw3ceExGwNdcNaV3q7xXCCFEKHSxubQd28FyO0t3FPLOH3txur2cPjyZM0emEG7QkFduY8GtU/hle0FNYbCzRqVw8/R+3PTRaj5ekcX8m45i3uoDPPX9FgxaDZdO7EmfuAge+2Yzpw5N5pubp/Dh8n18+FcW36zXccfx/cEHd3y2DoNWzcyRKUzLTKCoyumXUlTX/hIr541JY2pmPJ+tzOa691fTNz6cG47JoG98ODllwW9qnB4vFbb66QdCiPZRUGHnrz0lvPnbbirsbo4flMilE3sy94bJLNqUx/x1OTVBl2un9mVXwfp6bdtHpkUxLDWKuWsOsGhzPnEReu47eSCj06M4WOHg5a93sjm3gt5xYVwxuTcXjU/ng+X+Qdwnvt3Mc+ePYMmOAj5dkY3N5WFIipkbpmUQodfw7fo8PlqRhdvj46HTBvk9+axrS245E/rEsmx3MWF6DWeOSOGYAQn8uOVgozpNbMgOXCTTqFNz1wmZ/LStgPeX7cPu8nD68B7MHJlCSrR/wNrh9rCrIHjnmhV7izl5aOi7rXQWVQ43RZVOEs0t/9Bk1GmIMGiDBs06paoiWPkWDDhVCbKE0OqDqzFqDKSb0+sPK74fsTt+ROVx4tO0z4yC0/qexp+5f/LJtk+YPXh2u4yhK6mwudmVX8lLs0axu7CSBRvz8Pp8HDcwEY/PR4LZwDPnDOPbDbl8tTaH2Ag9N0/PoNzmZl12KZdM6MV/ftzJH7uKyEyK4IJxvfljZ/2mDNU255RjC5DuY9RpuHh8T5IsRp5bvJ3cMjsJkQZumd6Pk4YkERakuYIQQnQ08m4VIgfL7dzy0RqW76mdkv7PRRW8vzyLT6+dyH0nDeSGD1azI7/2hn3zt+X0S4jgi+smoVLBha8t93tCd9/cMsb0jGb2pF4kmo2c++oflNtqAyers0o4eWgSn183kX1FVr7fmMd176/ii+smolWrgua79rCYiA7TcfW7K2ueIO8qqGTR5oM8e95whqYE/wCjUiEXQSE6iKJKBw9+tYnvN+bVLNuRX8mpw5L522fr/LrxbMndSu+4cJ46ayjXvFf7hDo+0sDN0/tx6Vt/1aQU7ioAu8uDakofbvl4TU0q0K6CSn7Yks/9Jw/kmMwEv3Sbcrub699fxYLbpjA6PRqNWs3eoipUKnhm4TbWHRb0+HN3ET0sRgoOS1U6XHpMGON7xfDSrFG4vV6+35jH9e+v4l/nDmvU76VnXODaDQ+eOpiP/spixd6SmmX/WrSd95dl8fn1E0k9LMiiVauJjzBQUBl4jHW7tQl/e4uUVISkVipaGR9pYH+xtVX21SH8/hzgg0FnhPzQqw6uok9UXzSq+ul1VfGZJGz5jojcjVSkjgr52AASwhI4KuUo3tjwBmf3O5sIvZxrLRGm13D9tL488d2WOteECk4dlswdx/fnuvdXYXXWvv//taeYc0anct6YVG75eG1NcHNXQSULNx3kpVkjGdzDHDCttEeUCa06cMpbTISec0enMrV/PE63F71GTYLZUDPLRQghOgNJEQqRTTllNcGV4akWxvWORq9Vk1tmZ/nuQn7fWegXXKm2I7+S33cWsnjTwYDTn1fuKyElysR7y/b5BVeqfbchj7xyO/83bwMLN+Vh0KrxAScNSaq3LShFyNJjTDzx7RZ8PqVeQ6/YsJqp93//ciM6jZpeAdKPAI7pH18zXVsI0b72FVv9giugnPurs0rrtToG2FNYxYYDZYzuGV2zbNa4dF78aWdNcKXapZN68cjXmwkUp3128TYuGJdWb/n0gYlYHR7+9/MuPli+j2/X51BQ4fALrgDMW3OAC8fXf3oOShD33DFpXPXuKm78cDW3fryWBRvz0GnUjO4ZE/A1dY1IiyJc7//hMclsRKNW+QVXquWV23n3z324PLW/g/hIA9dN6xNw/watmqP7xTVqLN3V7gIlwJJsaZ3ZGYlmA3uCdCDpdEr2wfJXYdCZYDzyjKzWdNCaT3ZlNv2j+gVc7zD3wGU0E7V/RUjHVdfpfU/H6rLy1sa32nUcXUGEUUd2qS3gNcHp9vLKL7tqgiuH+3xVNmF6LcVV/kFmj9fHw/M3c+nEXgGPd+3RfUiPDQ86HpVKRaLZSFpMGIkWowRXhBCdjgRYQsDp9vLxX/u5c0Z/vr91CpdO7Mnpw1P48oZJLLxtCkkWE3PXHAj6+s9XZTfYFcjr8/HT1uCFGf/YWcSwtCiiwnQ8d/4Invh2M6eP6OFXSBeUDxhPnz2MEqsLrUbNM+cM46mzhnLemDQePWMI/z5vODHheoqtTt66bCxpMf43xiPSLDw+cyjmQx0dhOiu7C4PWcVWFmzM5YtV2ew4WEGpNfS1ib5el1Nv2clDk/hqbfD3m8WbDzLlsODAoGQzq7PqBx3C9JqgszfsLi9ujxedpvbGeFR6NPecOACjXsONx2Zw4pAknjprGOF6jd92APuLbRRUOLjqqN4c/qDToFXz73OHk1dmo+qwYtoWk473rxqPSa9mTVYJn67czx87C4MWmk22mPjgqvFEhdW+V03oE9vg++iXaw5QXFWb/qhWqzhjeA/OG53qt12kQcs7V4xrtcBBV7XjYAVRYToijK0z4zElysSO/Ep8wXqBdxY+Hyy4FwxmGHxWyA+/8uBKdGotfSyBg4eoVFTFD8Cyb1loB1ZHjDGGGb1m8M6md8iuyG7XsXR2hZUO5q4OfE1QqVQsO2zmdV2/bi/g+EH1H9jlldvpGx+O6bAi42oVXD65F2N7Ny4QLoQQnZXkcoSA8sQ1lYPlDk77729+qTnnjk7l9BE9UDcQoW9o3aEj0NAWYXoNNx3TF4NWg8vj5YwRqbg8Pu45cQDldhdlNhc9okzoNCoq7W5MOg3/Pnc4D361kb1FtVOue1iM/OPsYeg1KvrER/D5dZPILbNxsNxBWnQYCWaDFCET3Z7V6ebnrQXc/slanJ7awOi5o1O5+8QBxEeG7hwJNAvbR8PvKWqVEjjISIggTK8hLTrwbLWG33UgNkLPu1eMI6/cTq9Y5UZ7Z0ElN3242q/d5rTMeJ49bwS3fLzGr6jtvxdt57qpfVh0+9Fsy6vEoFPTOy6c+Ag9Xh/8cMdUdhdUYgnT1Yxx1uvL2X6wdiZgfISB968aR2aSf3FdjVrFsNQovr9lCvtLrJRaXUo76m+3NPh7qSsu0sj/nTqI66b1ZWd+JWajjrQYE4lmI1qNPL9oyObcctKD/G01R6/YcIqrDpBbZqdHVCcObm2aC9u+g6n3hrz2CsDKvBX0sfRBpwn+oKQycSBR+//CUJ6Dw9wjhKPzd0rvU/gj5w+eXP4kL01/SWY6NJOKwNeKmvUqAhYcr+YNstKgVfPF9RM5UGrH5vSQkRBBqdURsLObEEJ0JRJgCQGdRk2i2cjV79avvP/Zqmym9IvnlKFJQbtOnD82jcog1dgBDFqluvvX63MDrj9xSBIvLN7BLzsK0KhVRIfpqHJ4sLk86DQqFt82lce/3cwPW/PRaVR8eu1E/r1om19wBSCnzM4jX2/i7cvGApBoNpLYSvnzQnQVuaV2bvpodb0b0s9WZTO6ZzQXjAuc+tIWzhiewpu/7fVbtnDjQc4bk+ZXD+pw54xOpXd8BL0P1RAprHAwoU8My3b7b19hd5FkNgZMXQzXayixurjn8/UkWYxkFVn58sbJXP/+Klwe/1/ML9sK6JcQyZSMOJbs8C+MaNJp6B0bTkZC/bbzUWF6MhKUMZbbXNz00Rq/4ApAQaWDy95ewbwbJpNk8X+vUqtVJEeZSD7sw/isCT35rk5K1eG/l0DpjxaTDotJRx+pudIk67PLmNAnttX21y9R+Rv5c1cRZ9eZVdRplGbBN7dDr6Og5+SQHz7fms/e8n2c3vf0Breriu+PV60lau8yDg4L/SybagatgVkDZvHi2hf5bs93nNLnlHYbS2cWG2Hg3NFp9d7jAfD5OKpvHEuDFK09ul8c//1xR73lqdEmwvRapj/7K8lmIyaDpiYt8LnzRzBzZEqr/gxCCNGRyCO2EHB5vHz8V+C2yAAv/7qT0b1iGJJSv4Xp0BQLw1ItHN0/nvSY+k/7pvSLQ69Vc8G4dOIi6t/8nzkihVKrkxunZxCu1+Dx+iisdNbUU7h1ej9Uavjh0NR4l8dHhd1dryZCtV0FVVQ66ufiAjjdHg6U2NhTWEVemb3zT9UWohnmrTkQ9Gnf/37ZFbRwa1tIjTFxbp0Pm2EGDXERekamRdXbfkBSJP0SI6iw16bCVDldXD+1L5F1ile//fteHj1zcL1ihSoVPHLGEN5fto9yu5vtBys5dmACv+0srBdcqfbpyv2cUeeGu298OGeOTEHTiJkgRVVOlmwvCLgut8xe0/55T2EVuWU2vEEKfGcmRjJ9QEK95ekxYVw4Pl1mpbSSA6U28isc9EtovaCUxaQjMzGST1bs75zXHpcNPrkEtEaYcJNyIoXY8ry/0Kt1ZFj6NridT2vAGpdB1J7fQjSy4EYljmJc0jieWPYEOZX1UyJF44zrHRPwmqDXqrnnpAGYTfWfx14xuRcA9jop7DqNintPGlAzsyW33F4TXAF46eedFIbwOiiEEKEmM1hCwOHyNNjaOL/cwfa8Cq6e0oeCCgcLN+WhUqmYOTKFYakWLp+zgmiTnlcvGc1vOwv5fkMeBp2aSyb0JD7SQKnNxYNfbeKf5wxnxd5i/txVhNmk47ThyRRVOvlhcz6ZSZF8ccMk5q/N4c9dRSREGrj66D5kJERwoE6dgoZaOAN+tQ+qHSy388bS3by/LAuby0Oi2cBdMzKZPjCRaCl6K7oJn89X0x0lkIPldtye4PWUWltMuIF7ThrAacN78OZvuym3uTllaDKv/LqLSyb25PQRPViwMQ+P18eMwUn0sBj518JtvHnZWKrnjNhdXv6xYCsvXTSKX7blszqrlNgIPacP70Gp1cmn105k3upsNuSU0yc+nKuO6k1suJ7ecWFEmfZwoNTOacN6sGJv8Dz+MpuLzMRIJvaJxelRWthPy0ygZwOFEA9nC1CA8XBZxVZu+nANB0ptxEXouXV6P04Z2oOYOkHp+EgD/zh7KGuzSnnrj704XF5mjuzB9IGJnTvtpINZtqsIgP5J9WcmtcSZI1N4esFWHvtmCw+cOrDzpIx4vfDl9VCwBU58Ggyhnw3lw8efOX+SEd2vwfSgahVJQ0jaMBetrRS3KartB9iASwZdwsN/PMwdv9zBnBPnYNTKzNqmSosJ44ULR/LXnmI+W7kfj9d3aJaJihd+2MZn107ky7U5LNtVRHSYnksn9sQH7CyoZM7lY/l8VTbZJTb6J0ZyytAkXl+6h1umBy6UnF9ux+UN3XVQCCFCTQIsIRBh1DG+dwy/bAv8hHVoqoUteRW888de+idGcPWUPgzqYea5xdu5b+4GAA6WOzjphaWcMyqFB08dSFpMGLERBrxeL7lldkw6DZfPWcGEPjGM6RWDzenmmQXbyK9w8MrFo5iUEYfZqCPj+AiqpnrQa1WYdMo/f6XdjVGnrqmLoNOog7ZxVqmoN1OmuMrJfXM3+BWIPFju4M7P1/P4mUO4cGxao55CC9HZqVQqpvaP55sg6Xoj0qIw6UObfx4XYeDo/vGM6RmNy+sjTKdm2e4i7vh0HX3jI5jaPw6VSsXc1dlszavgwrFpRBw2W8Wk11JqdTH77b84ul8843rHUG5z8fD8TZRYXXx01XgeOG0QVqcHk16DQav8fIkWE/0TI7E63JjDdKCCt37fG3CMGQkRRIfreXHWSDw+HwmRTfuAZDZpMek09TodVYswaMktUwLJhZVOHvhqE+V2F1dP6YNe6//vER9p5PjBSUzMiMXrRYp2t4ElOwroHReO2di6v9sRaVFcPrkXb/2+hzG9ojl5aHKr7r9N+Hyw8D7Y9CVMuw9iM9plGHvL9pFblcvklMalJlUmDYYNXxC153cKB7Vvak64LpwbR9zIP/76B/ctvY9/Tv0nWrXc3jZVekwY6TFhHJMZj9fnIz7SyN7CSrbkVXDSf5ZyzZQ+XD2lD1VON49+u5ndBVU8e95w7p+7gQl9YxnXLtgZ9AABAABJREFUO4asYitXvbsStUpFuCHwtW5EejThevn3EUJ0XfKpNwScbi8nDE7CEuBGXa2CSyb0ZN5qpQr+nsIqRqRFodeo+TXAlPcFmw4SE2Eg9lAxWbVaTbhBw43HKDdly3YX8/rS3by/PIv8CgcpUSZ6xdbeyGo1aiwmXU1wBSDBbOTao2s7BizefJBzguSwnzG8B7Hh/kU6CyocQbtv/HPhNg7KVFDRjUzqGxswXU+lgntPGkBUWPvM6AozaLGYdOi0Gi4Ym45Jp2FXQSVv/b6XN3/bw9a8CvQaNVdN6eNXhDBMr+b6qX3x+ZSOEa8t2c3HK/ZTYnXRLyGC2EgDeq2GqDB9TXClWqRRR6LFhEmnZXCymdTowLNA7j4hk5QoE7ERhiYHV0BpL3/d1MBdT6b0i2PjgbJ67aRf+nkX+eXB35siDDoJrrQBl8fLz1vzGREgHaE1zBiUxPBUCy/9vLNN9t/qfn4Slr8CE66HnpPabRi/HfiNCF0Evc29GrW9xxCJNTaDmF0/t+3AGqmXpRfXDr+Wn/b/xL1L7sXpCX3Xtq4iwqAl8tA9oyVMx9+O74/XC6/8upsbPlzNXZ+vZ3dBFX3jw4ky6cgpszN39QFeW7KbBRvzcHl8XDapF6sDzFpUq+CuGf3lvVUI0aVJgKUNFVU6WLa7iFs/WcOXq7P54KrxjO4ZXbO+T1w4L84axccr9lNud9M/MYKPr5lAz9gwesaG8dHVE/xy1EekWfjsuomk1JmqXuXw8vvOQp6cOZQehwo5qlRK8bGnzhrKdxsDP02vptequXRiL+4+IROzUctnq/Yzqmc01x7dh/BDT9uNOjVXHdWb+08eWO/CuCO/Iui+y2wuv3oOQnR1KdFhfHrtRCb2qW1FmR4TxpzLx5GZ2LopEc2VGm3i02sn+NV9GpAUyYfXjCct1v/9pcLuIbfMzv+dMpD4Q4FdjVrFjEGJ3H/yQJbvLmrUMdNjw3n3inFM6x9fU14iyWzkufOGMzI9qkU/j16r4eIJPbn3ROU9DJQOFheOS2PW+HT+98uueq+xOj2UyXtTyC3fXUy53c3YXm3XqvXYAYlsyilnT2HwdL0OYemzsOQZGH0ZZJ7cbsNwepwsy13G4LjBqFWNvy0s7zEcc846tNbg6X+hNDJhJNcPv56f9v/E5Qsv50Bl8Hb0or78Cjs/bc3n+g9Wc937q1iwMY+CCidpMWH846yhNR3w1Co4flACb1w6hr4J4Vw4Lg2DVvm7iTRouXV6BrMn9WJiRjzje9fe8/aKDePdK8bVFCcXQoiuSuXrlNXgmq+8vByLxUJZWRlmc/2isq2luMrBPxdu46O/9tcs658YwYOnDiI+0oDXB5FGLREGLSVWJ16fUqSvbpvjwkoHZVYXajVYTHpiAtQzyS2zccLzS0iPCeOi8T2xmHRo1CpW7C3m0xX7uWV6P66aEvjp7uHcHi8HKxzYnG6MWg3R4TpKrS5sLg9GnYaESCN6bf2brz93FXLh68sD7lOlgp//No1ecY2rpSC6t1Cdn6FQZnVSYnXh9noxG3UkdKCOW/nldp78bgsZCUpRW59PqVOyJquYh08f4tcdLLvEyrH/+pVhqRYuGJdGmF6LRq1i6Y5CvliVzTPnDOO04Y1v1VpY6aDU6sTp9hJu0JIWbUKtbp1Yv9vj5WC5A5tLeQ+zuTyc/J+lQYvr/vi3qfSV7j+N0lrn5r1frOfnbfk8d96INquRYnd5uOa9ldx/8kAun9y7TY7RYn/+T0kNGn4hjLioXYfy24HfeXPjm1wz9GqijdFHfsEhaqeVjMWPkj3hag4OO7sNR9g0u0p38cq6V7C6rVw//HpmDZyFQWM48gs7sZaen/nldu78bF29Tm7f3XIUM//3B7dOz+C4QUk43R70Gg2lNid/+3QdN03P4OQhyeRXOHC4lDTRZIupZhZkqdVJqdWFx+sj0qRt1gxFIYTobCQJso3sK7L6BVcAth+s5OI3/+Kao/tw1wn90WmUC1BDKQNxEYZ6QZe64iMMXD6pNy/8uKOmZks1tQqmD0xs1Ji1GnW92THhhiNP4+wZG47FpKPMVv9p8DH944kNkC4hRFdnCdNjaad0oCNZnVXKl2sDd9w4JjOR88am1XwfF2HgrFEpfLxiPyv3lfhta9Cqm5zq0Zj3tObSatSkHJaGlFtmIyZcz8EAqUCje0YHDFiLtuPyePl+Yx7TMuPbtACtUachIyGCZbuLOmaAZcWbSnBlyDkwfFa7DsWHj5+yfqS3uXeTgisAXn0YVYkDidu6sEMFWPpG9eWRSY8wb+c8nl/9PO9ufpfLBl/G2f3OJkIvAdVAVmeV1guuACzbXcRZo1J4ZuF2nlm43W+dXqNmTM8YIo26mpSiuqLC9O2WFiuEEO2l06UILVmyhNNOO40ePXqgUqn48ssv23tIAX22cn/QdZ+u3E9RZf1ghNPtIbvEysq9xazcW0x2iRWnu+HuGKB8qJg1Pp2jMuL8l6tVvDRrFEnmtn1yk2g28s4VY/0KY4KSAvXomUOCXniFEKFX6XDzzp97g65/d9leSqpq6xcYdRpund6PYXXayBu0at6cPYZES8vfX1xuLwdKbazeV8Jfe4rYX2zFHqRgbVMkmY28ddnYevWvUqNNPHvecKLlxj+k/thVRJnNxYQ+sW1+rMxEMyv3lXS8ls1rP4Rv74CBp8Go2e3SjvlwO0t3sqd8L6OTRjXr9aVpYwkr3k1Y/rZWHlnLhOnCuGjgRTwx+QkGxAzg+VXPc/znx/PcqucosjUurbG7aOia8K9F27jyqD6MSLP4Lddr1Lx8cdvfXwohRGfU6WawVFVVMXz4cK644grOOuus9h5OUA538BZ0TrcXH/43fZV2F4s2H+T/5m2s6YRh0ml48qyhHD8wgYgjBCkSzUaev2AEOaU2/tpTTHSYnjG9okk0G/0KVrYFjVrF0JQoFtw2hY0HythfbGNoioXe8eF+qQZCiPbn9fpwHeH9yVvnQ2lylIk3LxtHVrGV1ftKSLQYGZkWRaLFgF7TsvcXm9PNbzuLuP2TtTUt4g1aNfefPJAzR6YELA7eWCqVikHJZr675Sg255azt9DKoB5m+sZHkGSR96ZQW7Axl0SzgZ4xYW1+rH4JEXy59gDZJTbSQnC8Rtn4BXx1I/Q7AcZe0+7BFYDvdn9HvCmO3pYjpxEHUpUwAJcpmoTN37A3IbOVR9dyieGJXDHkCmZmzGTxvsV8tPUjPtr6EZcNvozLh1yOSSvt1xu6JlidXnYXVnLLsf2wujxsya0gOkxHv4QIekSZCJNuQEIIUU+ne2c86aSTOOmkk9p7GEc0c1QqX6wOXGDtpCFJRIX5f2jYXVjFHZ+u81tmc3m4/ZO1fH3TUQxN9X96EEj11PthqVHNHndzadQqUqPDSI3uIDeyQoiAzCYdZ49KrZfuU23myNSAMzviIw3ERxr8CnW3huwSG9e+t9Kvy4/D7eWh+ZvITIxkQt+WzXZQqVSkRIeRIu9N7crr9bF480HG945t0/SgatWFNNfuL+0YAZYtX8MXV0OfaTDxxg4RXNlXvo+1Bes4pffJqGnmeFRqStPHE7vjR/ZPuAqP8cj3Ku0h2hjNeZnncXLvk/luz3e8vuF15u+az2OTH2Ns0tj2Hl67Mpt0nD068DXh6H5xbDxQzn9+3EGkQUt6bBgVdjdZxVbMJi3f3zJF3luFEKKOTpci1FQOh4Py8nK/r1DonxjB+N71uySYTVpuOrafX5tkq9PNq7/uDrqvV5fswuZyt8k4hWhP7XV+dnfTMuPpE6DwdEqUidOH90CtDs2HP5fHy/vL9tVroVzt+R+3B6ztJNpea5+b6w+UUVjpbPUAXTBmk46ESAPrs0tDcrwGbf0WPrtMacM86VZoQqeetvTFji+IMcYwKHZQi/ZT2nMC+HwkbPq6lUbWdiL0EZyXeR6PTXqMcF04Vy68kv+u+S8eb8tTEkOptc/Paf0DXxPOG5vGnD/2AFDhcLMpp5ysYisA5TY3G3Pkmi2EEHV1jKt8G3rqqaewWCw1X2lpaUd+UStIiDTynwtH8tgZg+kbH0GyxcjsiT35+qaj6BXrH+23uzzsLqwMuq/dBVXYnMGn9AvRWbXX+dndJUeZeP+q8dx9QiY9Y8NIjTZxy7EZfHrtBL8isW3N6fayPT/4e19WUevUYhFN19rn5k9b8wk3aOgfwlblveLCWZ9dFrLjBbRpHnx6KaRPgCl/A3Xbpuw21obCDWwo3MjRKVOa1Jo5EI8hgrK0MSRumIvaZWulEbatxPBE7h57NzP7zeSN9W9w4483Uu7sPMGC1j4/g10TBiRFUm4L/oBv58Hg799CCNFddeo2zSqVinnz5nHmmWcG3cbhcOBw1HaQKC8vJy0tLaRtYAsrHXi8PqLD9AHbHDtcHu6ft5EvVmcHfP15Y1J57MwhGLQd48ZMiNbSEc7P7szj9VFc5cSHj5gwPVpNaGPuHo+Xfy3azsu/7gq4/tjMeF64cKQUym4HrX1unvqfpUQaddwyvV9rDrNB89fl8NXaA2x4+AQ0IZqV5WfVO/DNbdD7aJh8e4cJrjg9Th7440GMWiMXZF7Q3OQgP1prMX1+fpoDYy8jb+SFrbDH0NlUuIlX1r9CQlgC/5v+P1IjU9t7SEfUVtfOuteEwkoHp/33dwoq63diA5hz+VimZSY0+3hCCNEVdfkZLAaDAbPZ7PcVanERBhLNxoDBFQCDTsM1R/cJeAOoUau4akofCa6ILqkjnJ/dmUatIj7SQEKkMeTBFQCNRs15Y1MxBHlvvPW4/hJcaSeteW7mV9jZmFPOyPSo1htgI2QkRGB1etiRXxHS4+Lzwc9Pwde3QP+T4Kg7OkxwBeDzHV9QbC9mRvqMVgmuALjDYihLn0Dymo/R2kpbaa+hMThuMPePv58qVxUXfXcRmwo3tfeQjqitrp11rwkJkUZuOy5wUDTRbCAzhDPShBCis+jyAZbOomdsGG9fNpaEyNqWdwmRBuZcPpb0jlCgTwgh2kBKtIkPrhpPSlRtalJMuJ5XLh5VU6hUdG4/b81HBQwPcQH2PnHhqFWwKkhB5zbhqFTqrfz6Dxh1KYy/rsPUXAFYlb+axfsWc3TK0cSa6teJa4nC/jNQ+bykLnu9VfcbCsnhydw//n6iDdFctuAyft3/a3sPqUNQq1WcNDSZvx3fH6Ou9u94SIqZj66eQHKUdGESQoi6Ol0XocrKSnbu3Fnz/Z49e1i7di0xMTGkp6e348haxqjTMKVfHPNvmkxxlROAmHADiWZDSDouCCFEe9BrNIzpFcPcGyZRXOXE61OmpieYje2T1iFa3cJNB8lMisTcgpbbzWHUaegTF85fe4q5aHzPtj9g/hb4dDaUZsG0+5With3InrK9vL7+dTKj+zMmaUyr799jCCd/4Ckkr/+ckr5TKUsf1+rHaEtmvZk7x97J6+tf55afb+HOMXdy8cCLu/09WEy4nmuO7sOZI1MotbkwatXERuiJCTcc+cVCCNENdboAy8qVKznmmGNqvr/jjjsAmD17NnPmzGmnUbUOlUpFksVEkkWeCAghupdEs5FEs7G9hyFaWbndxdIdBVwwtn0egAxMNvPbzkK8Xl/bdcfyeuGv1+CHByEiCU55FqI6VsHuPWV7+PeqfxNnjOWU3qe0WmpQXWXp44nM20jvn55m89n/wxmZ2EZHahsGjYEbRtzA59s/55kVz7ClaAsPTHwAk7Z735cZdBrSYsLoWH/VQgjRMXWceauNNG3aNHw+X72vzh5cEUIIIbqab9fn4vH6mNAntl2OPyItiqJKJxsOtFE3oYOb4O0TYcE9kHE8nPLvDhdc+TN3Gf/462miDNGck3kuOk0bziRSqcgdcSE+tYb+397X6eqxAKhVas7LPI+rh17Non2LOP+b8ztFXRYhhBAdQ6cLsAghhBCi4/P5fLzzx15GpEURE65vlzFkJpmxmHR8tTandXdclg3zb4FXjoLyHDjhKaXeirbjzMIqsBXy0tr/8dr618iIzuD8zPMwato+rcNjCCd7/FXobCUM+PI2DKWBOyR2dBN7TOSBCQ/g9XmZ9d0snlr+FCX2ENbzEUII0Sl16jbNzVFeXo7FYpE2sEJ0QHJ+CtExNefc/GrtAW79eC0PnDqIQcntdz5/sHwfv24rYMndxxDdkkCP1wtZfyjtlzfNBV0YDD0PBpwCbTkrpAm8+NhZspMl2b+yLG85Jo2JY9KnMTBmUJulBQWjqyok9a+30NrLyBl9CflDzsCr63ypNm6vm8X7FvPN7m8AOKvfWczMmEn/6P4dpj6LXDuFEKLj6HYBlrKyMqKioti/f79chIRoI5GRkc268ZTzU4i2FYpz0+fzsXRXCXd/uZXBSRFcN6V9C9CX2Vz8/ZvtjEy18PQZmY0rtutxobIWoC7LQl24DU3uarT7lqC2FuKNSMLVdwbuPse124wVn8+HzW2j3FlOkaOQPOtBsir2sa1sO5WuSiw6M0NjhzE0dih6dfsFf9RuB8k7fyA2ezlerZGC9ImUJg2jMro39ogEPJ0o4FLpquSXnF/4I+8PKlwV9AjrwZiEMQyIGkDPyJ4khSURY4hBr2leEK+55ybItVOIttaS81N0P90uwJKdnU1aWsfKjxaiq2nuUzQ5P4VoW219bmqje5ByzWs137vLC/C5HE0+XmvTxabW/H/2i5fgqapN9VCrYMXV4YxK1jRqX9uLPITyzkkdrkEX2bSeBF5Px7q1i/d5iaThMV2ns/CTpuOkWAWj0qjQJzQ+iJL/dT75X+Qfebv8fOLj45s1Jrl2CtG2ZHaYaIpuF2Dxer3k5OS0KBJZXl5OWlqaPCloBvndNV9n+t019/xqjfOztXSm33dLyM/Z9TT0s3aFc7OxusO/ufyMnV/1z1daWorFYmnWPpp6fnb132lTyO+ilvwuatX9XXSma59of52uTXNLqdVqUlNTj7xhI5jN5m7/BtRc8rtrvq78u2vN87O1dOXf9+Hk5+x6WvNn7YjnZmN1h39z+Rk7v5Z8eGvu+dnVf6dNIb+LWvK7qCW/C9Ec0kVICCGEEEIIIYQQooUkwCKEEEIIIYQQQgjRQhJgaQaDwcBDDz2EwWBo76F0OvK7az753YVWd/l9y8/Z9XSnn7Uh3eH3ID9j59ceP19X/502hfwuasnvopb8LkRLdLsit0IIIYQQQgghhBCtTWawCCGEEEIIIYQQQrSQBFiEEEIIIYQQQgghWkgCLEIIIYQQQgghhBAtJAEWIYQQQgghhBBCiBaSAIsQQgghhBBCCCFEC0mARQghhBBCCCGEEKKFJMAihBBCCCGEEEII0UISYBFCCCGEEEIIIYRooW4XYPH5fJSXl+Pz+dp7KEKIOuT8FKJjknNTiI5Lzk8hhOg4ul2ApaKiAovFQkVFRXsPRQhRh5yfQnRMcm4K0XHJ+SmEEB1HtwuwCCGEEEIIIYQQQrQ2CbAIIYQQQgghhBBCtJAEWIQQQgghhBBCCCFaSAIsQgghhBBCCCGEEC2kbe8BCNGQSmclHp8Hs96MSqVq0mt9Ph8VzgpUKhWR+sgWj8XlcVHlrsKgMWDSmlq8PyG6CqvLSoWzgnBdOBH6iGbvp8JZgdfnxWKwtOLohBAdVYWjAh8+zAZzwPVOjxOr24pJY8KHD7vHTrg2HJ1GF+KRCiGEEI3TrgGWp556irlz57J161ZMJhOTJk3i6aefJjMzM+hr5syZw+WXX+63zGAwYLfb23q4IoQKrYWsLVjLB1s+wO6xc3Lvkzku/TiSI5Ib9fq8qjx+zvqZr3d/jV6j58IBFzIqYRTxYfFNHovb6+ZA5QE+3fYpK/NWkhSexOVDLqePpU/Qm0IhuoNKZyUHKg/w3ub32FGygzRzGrMHzSY1IpVoU3Sj91NgLWDVwVV8tPUj3F43p2ecztTUqSSFJ7Xh6IUQ7SXfms/KvJV8vO1jPF4PZ2acyZTUKTXnvMPj4EDFAd7b8h7JYckMihvEF9u/IKcyh2Hxw5g1cBYpESnoNfp2/kmEEEIIfyqfz+drr4OfeOKJXHDBBYwdOxa3283999/Pxo0b2bx5M+Hh4QFfM2fOHG699Va2bdtWs0ylUpGYmNioY5aXl2OxWCgrK8Nslg/HHVGhrZCHfn+IJQeW+C3vEd6Dt098mx4RPRp8fW5lLlcsuoLsimy/5ROTJ/LEUU80OciyuXAzsxfMxu7xD+LdOeZOzul3DuH6wH+rounk/Ow8vF4vv+f8zs0/3YzH5/Fb99jkx5jRcwZhurAj7qfAWsA9S+9hRd4Kv+U9zT15fcbrJIc3Lqgq2pacm6K15FvzueuXu1hdsNpveW9Lb147/jUSwxL5K+8vrlt8HUenHc3wuOE8t/o5v211ah1vzHiDUYmjQjn0DkvOTyGE6DjatQbLggULuOyyyxg8eDDDhw9nzpw5ZGVlsWrVqgZfp1KpSEpKqvlqbHBFdA47S3bWC64A5FTl8Om2T3F73EFf6/F6mLdzXr3gCsCfuX+ytXhrk8ZSbC/mwT8erBdcAXh21bMUO4qbtD8huooDlQd46I+H6gVXAJ5c/iQFtoJG7Wdj4cZ6wRWAfeX7+G73d3i89fcvhOi81uavrRdcAdhTtodFexdRbC/m/377P9w+NzMzZvLi2hfrbevyunjg9wcosDbufUYIIYQIlQ5V5LasrAyAmJiYBrerrKykZ8+epKWlccYZZ7Bp06ag2zocDsrLy/2+RMfl8Xr4YscXQdfP3zWfYnvwoEaxvZj5u+YHXf/Z9s9wepyNHk+5o5xtJdsCrvP6vGwu3NzofYn65PzsvEodpUGDKDa3jfyq/CPuw+6289n2z4Kun7dzHiWOkmaPUTSfnJuiLVhdVj7f/nnQ9XN3zqXMUcZB60HMejMl9hJcXlfAbbMqsihzlrXVUDs0OT+FEKLj6jABFq/Xy2233cbkyZMZMmRI0O0yMzN56623+Oqrr3j//ffxer1MmjSJ7Oz6MxZAqfNisVhqvtLS0trqRxCtwIcPr8/b4HqOUOv2SK9vSlacj4a39RL8WOLI5PzsvI50bhxpfbUGz9f2y2Dt9uTcFG3lSOf84e8dR3wf6aZvEe11fm7Lq+Dh+ZvwervpL14IIRqhwwRYbrzxRjZu3MjHH3/c4HYTJ07k0ksvZcSIEUydOpW5c+cSHx/Pq6++GnD7++67j7Kyspqv/fv3t8XwRSvRqrWc3f/soOtP7XMq0YbgxTOjjdGc1ue0oOvP6X8OBq2h0eOx6C30i+oXcJ1apWZw7OBG70vUJ+dn5xVtiCbWGBtwnUlrIjH8yKmbRq2Rc/ufG3T96X1Pb/B8F21Hzk3RFsJ0YZzT/5yg68/MOJMofRQJYQmUO8uJNcaiVQfux5AamdptO4611/l59xfrmfPHXlbuk5mFQggRTIcIsNx000188803/Pzzz6SmpjbptTqdjpEjR7Jz586A6w0GA2az2e9LdGz9o/szMXliveWJYYlcOODCBtszatVazul/Dj3C6xfCHZM4hkExg5o0lhhTDI9MegS9un6ngptG3ESMqeF0NtEwOT87r+SIZB6a9BBqVf3LyN1j7ibe1Lhi0kPjhzIifkS95akRqZze93Q0ak1LhyqaQc5N0VZGJY5iaNzQesvTI9M5qfdJxJhieHzy42hUGubvms91w66rt61WpeXRSY82qzNgV9Be52eZVUmx3pYnKUlCCBFMu3YR8vl83HzzzcybN49ffvmFfv0CzxRoiMfjYfDgwZx88sk8++yzR9xeKq13DgXWAlYeXMlPWT/h8XkYFjeMGb1mHLGDULXcqlwW7lnIN7u/Qa/RM2vALMYljyMhLKHJY3F5XDWtaNfkryExPJErh1xJv+h+3fbpWVuR87NzqXBUkF2Zzdub3lbaNEemcfmQy0mPTCfWFHh2SyD51nyW5Szjo21Km+bT+pzG8b2Olw5CHYicm6I15Vfl83vu73yy9RM8Pg9n9D2D43oeV9um2e0gqyKLOZvm0Mvci/7R/fls+2ccqDzA0LihzB48m9TIVAyaxs9I7cpCcX76fD4GPrAAu9vLVUf15u+nNu2BlRBCdBftGmC54YYb+PDDD/nqq6/IzMysWW6xWDCZTABceumlpKSk8NRTTwHw6KOPMmHCBDIyMigtLeWf//wnX375JatWrWLQoCO/2ctNYtvweD0ctB5kS9EWcqpyGBgzkHRzerMCGqAUwiu0FbIibwU2t42xSWNJDE8kyhDVqNeX2csodZaSW5mLWqVWphLrLS1qqez0OKl0VmLQGgjXSWvmtiDnZ/O5ve6aczC3KpdBsYNIj0xv8hPeEnsJ+dZ8VuatJEwXxujE0cSZ4hpsuVzhrKDCWUG4LhyLwYLX5yWvKo+txVvJrshmYOxAepp7HvH9oMxRhtfnJcoQhUp1hGJLIqTk3BTVKpwVNddnn8/H2KSxxJniMBsa/ruoft2qg6soc5RxVMpRROgiat43Ap3zDreDKlcVJq0JHz7sbjvhuvAmpfp2B6E4P8vtLoY9vAiA04f34D8XjmyT4wghRGcXOLE1RF5++WUApk2b5rf87bff5rLLLgMgKysLtbp2CnpJSQlXX301eXl5REdHM3r0aP74449GBVdE2/D6vGwp3sLVi66m0lVZs7y3uTevHP9Ko2edVKtwVvD9nu95fNnjfgXuTu59MnePvfuIT8aLbEU8v/p5vtz5Zc0yFSruHns3Z2ScQaQ+sknjqabX6CUlSHRIbq+bTYWbuGbxNVjd1prl/aL68eL0Fxt9DhbaCnn6r6dZsHdBzTK1Ss0DEx7gxN4nEqGLCPi6SH1kzXnl9XnZUqS8H1S4Kmq26WnuyavHvUpKZErQ48uMMCE6tjJ7GR9s/YCX173st/zSQZdy1dCriDYGrplU7ijn95zfuX/p/bh9bgCeX/0845LG8djkx4gyRgV8nUFr8AumNBToFW0rv9wBQHSYjvwKRzuPRgghOq52rcHi8/kCflUHVwB++eUX5syZU/P9c889x759+3A4HOTl5fHtt98ycqRE0dvTQetBrvvhOr/gCsCe8j08uexJKpwVQV4ZWG5lLo8te6xe94Dv9nzH0gNLj/j65bnL/YIroHQieHrF02RXBO42JURnlm/N57ofrvMLrgDsKN3BP1f8kypXVaP288v+X/yCK6AETB758xFyK3MbPZbrf7jeL7gCsK98H48te4xyp+TuC9FZ7SzbWS+4AvDu5nfZXLQ56OsKbAXcu/TemuBKtb/y/uKzbZ/h8MgH9o6u5FD9ldToMAolwCKEEEF1iCK3onPLLs+mzFEWcN2SA0sosTe+2rzP5+Pz7Z8HXf/WxrcoshUFXV9iL+GtjW8FXf/x1o9xe91B1wvRGe0p21MvwFntp/0/UWwvPuI+Cm2FvL3x7aDr5+2Y16ixHKg4QIkj8Dn/R84fTXo/EEJ0HDa3jXc2vRN0/Zsb3gz6QOXn/T8Hbc/86fZPya/Kb5UxirZTanUBkGg2UmZ3tfNohBCi45IAi2ixInvwgIcPX5OeTLl9bnKtwZ+UF9uL6z0BO5zL62pwPAetByXAIrqchv7mvT4vTo/ziPvweD0NBmJyqnLweD1H3E+w4Ao0/f1ACNFxuDwuCmwFQdcX2YtweQJ/8M6rygv6unJnOV4CB19Ex1F6aAZLotlAmVUCLEIIEYwEWESL9Y3qG3SdWW8mQh+4bkMgOrWOqalTg64fmTCScG3wArMRugjGJI4Jun5K6hSMWmOjxyNEZ9A/qn/QdTHGmEYVZQ7XhTMyIXi65bS0aY1qmdzL3CvoukhdZLNrIAkh2le4LpxJyZOCrh+XPC7o9X5C8oSgrxsYM1C6AXUCZTYXJp2GqDA9To8Xm/PIAXchhOiOJMAiWizOFMeUlCkB19088mYSTE3rJDS5x2RijfUL2WpVWm4acVODAZswXRjXDr8Wrbp+/eZoQzTT0qY1aSxCdAYJ4QmMTxofcN2to25tVDevCH0Et4y8BY2qfhAl3hQfdP91xYXFMS11WsB1N4y4gXhT07oaCSE6Bo1aw5n9zgxY7NqkNXHxwIvRa/QBXzsgZgDpkekB190++vaa9syi4yq3uwnTawjTaw59L7NYhBAiEAmwiBaLNkbz8KSHuWTgJZi0SnvteFM8j0x6hBN7ndiop96HS45I5p2T3uHo1KNRobRtzIzO5O0T36aXpdcRX58emc67J77LoBils5QKFUf1OIp3TnqHlIjgHUyE6KxijDE8OeVJZg2YhVGjzNBKDEvkyaOe5Nj0Y1GrGvdW38vSi7dPeJv+0cqMGLVKzbTUabx94tskRyQ3ah9RhigenPggswfPrnk/iDPF8dDEhzilzykBg59CiM4hJSKF9056j7FJY2uWjYgfwbsnvdvg9TU1MpX/Hfc/ju95fE0Qt5e5Fy8e+yIDoge0+bhFy1VWB1h0yr9fhV3SrYUQIhCVz+fzHXmzrqO8vByLxUJZWRlms7m9h9OlOD1OCm2FuDwujFojCWEJqFSqRr++2FZMiaMEt9eN2WAmUhdJqaMUr89LhD4Cn89Hib0Ej89DlCGqwf17fV5yKnMoc5ShVqmJNkSjVqspsZegVWsx6804PU6K7EXoNXosekujP0C2hiJrESWOEqxuK5H6SOJMcZI6gZyfdTk8DgpthVQ4KzBqjEQboxtsZXz4OWjSmYg3xTd4DmZXKAWqffiw6C2kRKTgw0duVS5ljjI0ag3RhmgSwxOpclaRb8un3FmOSWMiUh/Z4DlTai+lyF6EzW0jQhdBUniSpOd1YnJuisPlVOZQ6ijFqDGiUWuwu+1oVBoMWgNOjxOjxojb68bmsRGmDSPWGEu4PpxSeymljlLcXjcGjQG1Sk2Vu4oofRTxYfG4vW4KbAWUO8sxaAxEG6OJMkRR4aig2FFc834Sb4r3a9/cEoXWQkodpXh8HiwGCwlhCY0OSncUoTg/7/psHeuyS7licm/unbuBeTdMYmR64LbcQgjRncmjRNFq9Bo9PSJ6NPl1Pp+PnaU7uXfpvWwv2Q6AxWDh7jF3My1tGmG6MDYVbeK+pfexv2I/oMyQeXjSw4xJGkOYNsxvf1aXlWW5y3j0z0drin/2NPfkb2P+xhvr32B94XoyojK4Y/QdPL/6ebaXbGdAzAAen/w4mTGZLfwtHFlWeRb/+Osf/HbgN3z40Kv1nNP/HGYPnt2s35/omopsRXyy7RPe3vg2do8dgPFJ43lk0iOkRAZ+UtzYc9DqsrK+cD0P//EwByoPAMqMlwcnPoherefuJXfXFKvtG9WXZ6c+y6K9i3hr01vY3DZAqYf08MSH6RPVp97+c6tyefzPx1l6YGnN3/iFAy/kssGXEWeKa9bvQwjR/pweJxsKN/B/v/0fk3pMol90P15e+3LN+0X/6P78Y8o/+N/a//Hdnu9w+9yoVWpm9JzBnWPvJDEskXBdOBuLNnLzzzeTXZENQEJYAi8e+yLLcpfxyrpXalrOj4gfwSOTHuHtjW/z1a6v8OFDp9ZxQeYFXDH0iha9n7i9brYXb+fepfeyp3wPALHGWP4+4e9MTJ5IuP7Itau6k0qHG5OuNkWo0iEzWIQQIpDOFaIXXVJOVQ6XLbisJrgCUOYo4/9+/z82Fm7kYNVBrlx4ZU1wBaDAVsBNP97E3rK99fa3q3QXt/58q19nlX3l+7hnyT1cP+J6VKjYWbqTu5fcza2jbgVga/FWrlp0FfvK97XdDwrkVuZy15K7aj54Aji9Tj7c+iHvb36fKmdVmx5fdA5ur5v5u+bz8rqXa4IrAMvzlnP9D9dTYA3eyaMxDlQe4Pofrq8JroDSYevmn27G6XX6HTPKEMVPWT/x0rqXaoIrAGvy13DDjzeQVZ7lt+9iWzF3/HIHSw4s8fsbf2fTO7y3+b1GdTQSQnRMByoPcNWiq3B73YxNGsuTy5/06xw2KmEUb2x4g/m759d0/PP6vCzYu4BH/niEMkeZso+FV9UEVwCSw5P5M/dPnl31bE1wBWBtwVqu++E6JvSYUPN+4vK6eG/Le8zZNAeHu/ldyXKrcrls4WU1wRVQOiHd/svt7Czb2ez9dlUVdjdGnQaTXlvzvRBCiPokwCLa3bKcZZQ7ywOue271c+wq2xWwtasPH6+se4UqV21QosJZwUtrXwq4L5vbxrLcZTW545WuSjYVbmJw7GAASh2lrMxb2dIfp0GFtkI2F20OuO6z7Z+Rb8tv0+OLzqHAVsAbG94IuG5P+R6yK7MDrmsMu8vOR1s/Ctiu3Ovz8tXOrzih1wk1y87MOJP3t7wfcF8HKg+wt3yv37J8az4bCzcG3P7DLR+2ODgkhGgfLo+LD7d8iNvr5syMM/lgywf1tpmcMpkFexcEfP3SA0spshXxxY4vcHr9A60zM2by/ubA7zO5Vbm4vK56xe8/2vIRhbbCZv0sPp+P7/d87xc0PtyLa16k3BH4vqS7qnIqARajTvnoUCUzWIQQIiAJsIh2typ/VdB1O0safoq0tXgrVlft0y6b28a2km1Bt99RsoO0yLTa70t3kBqZWvP9+oL1jRlys2VVZAVdZ/fY/YJFovuyuWxBg46gzNJqrgpXBVuLtwZdX/ccCdOG+c0Gq2tL0Ra/7w+faVaX/I0L0XnZ3DY2FinB07TINL9Zp9WcHidenzfoPorsRWwq3FRveaQ+kgJb8ODr7tLd9Wo+Ob3OZr+fOD1O1uavDbp+e8l2v5l8QgmoGHUatGo1Oo1KAixCCBGEBFhEu+sf1T/ouuSIZBqqw5wSkeJX6M6gNjTYySAlIsXviVePiB4U2Wo/PPa29G7ssJslKSx4K0qNSlOvnozongxaAwZN8AKOqRGpQdcdSZg2zC+oWFePiB5+54jb627w77Knuaff9w21hNaoNJh0piaMVgjRURg0BnpGKud7oa0w4LU2WJvmaha9hTRzWr3lTo8zYPvnanWv1aB0OavuVNZUOo2OPpb69aOqJYcno1c3/LN0N1anp2b2ikmnocrpaecRCSFExyQBFtHujk0/Fp1aF3DddcOvo5elV0275rquHX4tZn1txXyL0cJ1w68LuK1apeaYtGP4Ped3ALQqLROSJrA6fzUAerWeqWlTW/KjHFFieGLQANBxPY8j2igV+QXEGeM4p985AdfFGmMb1a48mHB9OBcPvDjo+jMzzuT7Pd/XfL9g7wJm9psZcFuz3syAGP8Wq8kRyUH/xk/odUK9af5CiM7BoDUwe/BsAL7a9RXnZ55fb5sNhRsYnzQ+4OszozOJNcUya8Csetf07/Z8x1n9zgr4ughdBPFh8eRW5fotPz79eGJMMc35UVCr1JzV76yg3YKuH349UcaoZu27q7I63Bi1SoFbo06D1SkzWIQQIhAJsIh2lxSexMvHvewXKFGr1MweNJujUo4iPiyef039l9+TKq1ay11j7mJgzMB6+xsaO5RbR92KVlXbJMukNfHAhAeYu2Mubq+bCF0Ej05+lPe3vI/X58WsN/PS9JfoEda2XXxSI1P577H/9UvBABiXNI7bRt0mARYBKB9krhx6JcemHeu3PCk8iddnvE5SePCZUI2RFpHGwxMfxqipbZusU+u4d+y9aNVaKpwVNctXHVzFOf3OYUbPGX77iDPF8fJxL5MW4f+3nBCWwCvHvVJvlsyE5AncMfoOwnQyS0uIzirNnMYTRz1BTmUOVpeVWQNmoVFpatZ/ueNL7hp7F0Pihvi9LiMqg+ePeZ5YUyxpkWk8ffTTfu8/y3KXcWKvEzm1z6l+r4s1xvLq8a8yb/s8v+Xjk8Zz19i7CNc1v9NPj4gevHDMC34z9LQqLTePvJnhCcObvd+uqt4MFofMYBFCiEBUvobyL7qg8vJyLBYLZWVlmM3mI79AhITb66bAVkBuZS42t420yDRiTbE1N09Oj5MSewlljjIAzAYz4bpwpduAD6KN0X5Tk61uK0W2IrIrstGpdSSFJ6FGzd7yvRi1RuJN8fjwsat0F+G6cBLDE+kR1gOdNvBMmtaWXZFNoa2QIlsRPSJ6EG2MbvGH5q5Azk9/ZY4yimxF5FTlYNFbSAhPIDEsscHXFNoK8Xg9mLQmzIbgv8MqVxUF1gKyK7Px+rykRaYRZ4xDo9ZQZC9if/l+DFoDPcJ7EB8WT4G1gApXBdnl2ZgNZuJN8aRGpKLRaALuv8BaQIGtgCJbEckRycQZ41r1iXCls5IqVxVqlZo4UxwqVeBZbqJ1yLkpqjk8DgpthRyoOECELgKTzkROZQ4GjYE4UxzljnLC9eE4PU4KbYXE/z979x0fVZU2cPw3fTLpnVR6772JVAF77wr21bWXXXXXslZWfe2uoqJgx1VR14oKCFYEQaT3Fkjvk+nl/eOQMpmZkEASAnm+7yefZe65c+fEN+feuc8953ksySRFJJEUkYTP76PYXlxTYSjXmovL6yIjKgOjzogfP3aPnX3WfUQbo+lg6UCKJYUie1HA+STRnHhIDySK7cV4fB7MOjOx5ljcXjeF9kL2W/fj9rnJis4iwZxw1AWCW3p8en1+uv7jS64Z14WJvVK4/3/rGJgZxxPnSiBKCCHq0x98FyFanl6rJy0yjbTItJDtxfZi5m+ezyfbPsHj8zAlewpn9zibWctnsadyDyd1OYmZfWbWPDW36C1Yoi1BM0XSowNnqGTHZLfML9SAEkcJfxb+yevrXsfpdZJkTuLGITcSZYxqcA26aH9iTbHEmmLpEhc+V0C1YnsxP+T8wJx1cyiwFdAvqR+3DLmFbnHdQt4slDvL+WDLByzbq8opj0obxWX9LiMzOhOLIXjspEWlkUYaPeLD50yqK9mSTLIluXG/aBO4vC52lu/k+dXPsyJvBXGmOC7tcynTOk1rkc8TQgQy6VSus7pLARuTv6zAVsCXO77k7Y1vU+mqZHT6aK4fdD0WvYX/rPkPS/YswaQzcU6Pczi3x7mkRtYGkw/3fFLqKGVF3gpeWvMS+6z76BHXg5uH3kzvhN6kR6WTHtWys1ePdg63mq1iOjCDxajXYnPLDBYhhAhFZrCINi+vKo8rFl4RVJ0k1hTLY+Me4/pF1+P1e0mOSObtk95u01+UrC4rL/7xIm9tfCuo7ZkJzzApe1K7fhIv4/PQlDvLefr3p/lo60cB2zVoeHHyixyXeVzA9lxrLjO/nhmU0yDRnMg7J7/TYKLoI2190Xou+fKSmifg1camj+XR4x495JwMomEyNsXhKLIX8belf2Nl/sqA7UatkWcmPsM/f/wnpc7Smu3d4roxe8rsgCDLobK5bby29jVeWftKUNtj4x5jWqdp6LShZ+IdLVp6fBZWOhn+yHfcMbUnQzvG8+Q3m4kx63n98hHN/llCCHG0kxwsos37ef/PIUu/ljvLWbRnUU1i2kJ7IZ/v+Byvr+0+VSl2FPP2xrdDtj2y/BEKbAWt3CNxLCi2FwcFVwD8+Hlk+SMU2mrLn/r9fhbvXRwUXAH19/nptk/b7Bgqc5Yxa/msoOAKwE/7f2Jf1b4j0CshxMHsqdgTFFwBVWr5jfVvBCXS3la2jT+L/myWzy62F/PautdCts36bVaD5aGFYj9QMcik19b8r1QREkKI0CTAIto0m9vGlzu+DNv+y/5fGJQ8qOb1wl0LqXBVtELPDs2Osh34CT1prNBe2Kb7LtquDcUbwrblWHMCktZWuioDqgTV983ub2pyHbU1VpeVNUVrwrb/tO+nVuyNEKKxFu9dHLZted5y+ib2Ddr+2fbP8PgOv1JNjjUHrz90MKDMWUaZs+ywP+NYZ3fXC7AYdNgkwCKEECFJgEW0aTqNrsFkcxH6CNw+d8DruhUN2pq6lZBC0WslLZJouoMlZKz7d6XX6gOqZtQXoY9Aq22blwatRtvgGJEcRkK0TQ2NTZPOFHJWWqQhEm0zfE016UwNtst19+CqSzKbDOr7lUmvrZnVIoQQIlDb/BYtxAEmvYmLel0Utv3EzieyaPeimteX9rm0wcopR1p2THbYIEufhD7EmeJat0PimNAjvgcGbegKWENThxJriq15bTFYuLjPxWGPdUnvS9rs32G8OZ4TO50Ytv24jOPCtgkhjpwTOp4Qtu3Ezify/d7vg7Zf0POCZgn2pkWmEW2IDtnWNa4r8aamVyNqb4JmsOh12NyHP7tICCGORRJgEW1ej4QenNrl1KDtg1MGkxGdwYYStTxiXMY4hqQMae3uNUlyRDKPH/940CybGGMMDx/38CGVnRQiKSKJf4/7NxoCEyQnmBO4f9T9AQEWgH6J/ZjacWrQccakj2FEh7abtDBCH8H1g68nPTI4kfVdw+8iyZJ0BHolhDiYFEsKNw+5OWh7dnQ2p3c9ne92fxew/YKeFzRblb9kSzJPTngSvSZwpkqUIYp/j/s3iRGJzfI5x7LqKkLGOjlYHDKDRQghQpIqQuKoUOIoYU/FHj7a+hEur4vTup5GiiWFtze8jcvn4sxuZ9I1rmvQFyW/3x9Qledgr+vz+X1oNc0Xh/T5fbi9bnKrcvl8x+fsKN/BiA4jGJc5jvTI9HZdQQhkfB4Ou8dOblUun237jN2VuxmbPpbR6aPDVtUqsZew37qfEmcJfp+f+Ih40qPSSYpQQYqDjY36mnusNCSvKo/VBav5bvd3pFhSOLPbmaRHpRNllCVCLUXGpjgUdc8L5c5ycq25LNi6gGJHMdM6TWNg8kAidBFsKNnAgm0LsOgsnN3zbDKjMpv1gYPD4yDfls9XO79iS+kWhqYOZXzmeNKj0lvtvNWSWnp8fvFnLte/u4o5M4YRadLz5dpcPvw9h40PTW/2zxJCiKOdLDwVRw2dRkefhD54fV5MOhNxpjj+NeZfAEE3goW2QraUbuF/2/+HWWfmjG5nYNQZeXPDmySZkzi759lsL9vOwp0LiTfHc1b3s8iIyqhZXpRrzWVF/gq+3/s9GVEZnN7tdNIsaUQaI5vcb5fXRW5VLl/v/JrNpZsZkjKECVkTuG7gdWg0mmPiy51oAw6EyrOjs4k3xx90mY/dY6fSrRLe+v1+TupyEonmRApsBWws2cgXO74gSh/FmT3OJCsqizhz8PG8Pi+5Vbks2buE1QWr6ZXQi+mdptMhsgNGnbH5f8cDOkR24MTOJzKt0zQZP0K0MdXnhcV7FvNH4R/0TOjJ6LTRFNmKiDfH0y2uG5neTIxaI7srdrNw10JO6HgCfxv2N3RaHStyVzBv3Tw6RHbgjG5nkBaZdkjBU7/fz/6q/fyQ8wO/5f1G97junNntTBIiElr0/HQscgQludXicHubHIgXQoj2QGawiDavxF7Ck78/yf+2/y9g+7DUYTx2/GOkWFICthfYCrj9+9v5o/CPgO0ndz6Z7vHd6RHfgydWPMHOip0B7dcPup6Lel1Euaucy76+LKhk8oNjHmRap2kHTShal8fn4ff837n2u2sDqiFEGiKZO20uvRN7N/pY7YGMz0Pj8DhYlrOMO5beEVClKsGcwLzp8+gc2zlg/5zKHB5f8ThL9i6p2aZBw6tTX+WplU/VLLurdknvS/jLgL8EBVk2FG/g8q8vx+ax1WwzaA28NOUlhqUOQ6dtuwmnRdPI2BSNtb5oPZcvvBy7x16zzaA18PSEp3nxjxcDzi8dYzpy1/C7uGnJTQxJGcJ5Pc/j9qW3BxzvvlH3cXKXk5t07QXYUrqFy766jEp3bRU1vUbP85OeZ1TaKPS6Y+cZY0uPz7d/3c19n67j7StHotFo+HFbEf9Zso1ND03HbJDzvBBC1CWP/kSbt6VsS1BwBWBl/kqW7V0WsM3v9/PNrm+CgisAX+z8ggFJA1i8Z3FQcAXgP3/8h7yqPJ5a8VRQcAXgX7/8i2JHcZP6Xmgv5LbvbwsqNVnlruLvy/5Okb2oSccTIpQiexF3/XBXUAnwEkcJD/zyQFDZ5Q3FGwKCKwAj00by474fg4IrAG9vfJu91r0B2wpthfxt6d8CgisAbp+b25feTqG98HB+JSHEUajQVsgdy+4ICK6AOi/c9/N9zOg7I2D77ordLNy9kCkdp7A8bzk51hx6xPcI2OehXx9q8vmkxF7C3T/cHRBcAfD4Pdyx7A4K7MHXeBGew+3FpNfVzFYx6dTtg1QSEkKIYBJgEW2a0+Pk3Y3vhm1/d9O7lNhLal4XO4qZv3l+2P1dPhdf7PwibPtXu74K+kJWzef3sSp/VSN6XavAVkCFqyJk266KXZQ6Spt0PCFC2VK6JaBceV2/5/8eEGApthfz4ZYPg/ablD2Jr3Z+FfYzPtz8IXUnPJY5y9hTuSfkvuXOcgptEmARor0pdZSSU5kTsq3EUYJJZwpKxv3Vzq+YkDmh5t+TsycHtPvx81vub03rh7OULaVbQrZVuavYZ93XpOO1dyrAUnvLUJ3s1uaWAIsQQtQnARbRpnn9XmxuW9h2u8eOz++ree3z+3B4HGH316DB6XWGbbe6rOi14acNW93Wg/Q4kMvjarC9/swWIQ5FQ2MEAv/OPF5P0KwTUFP46z91rqvSXRkQYDnY325D40wIcWzy+Bs+L7h97qC8SU6vs+a6a/fYQ+ZHaeq11+tr+Ma/oe8JIpjd7a0JqkBtLhaHBFiEECKIBFhEm2YxWDipy0lh2ydnTw4oQRtrjGVi1sSw+/vxMyptVNj2KR2n4PSEvzEcljrsID0OlBaVFlQaslqMMSZk4lAhmqpPYp+wbZlRmUQbo2teJ0UkMSl7UtB+awrXMDp9dNjjnNLlFLTa2ktGnCmOaEN0yH31Wj0dIjs0putCiGNInCmOKEPohLQGrYEIfQRef+BN+cgOI1lfvB5QpeL/KPgj6L0j00Y2qR8xphgSzAkh27QaLR1jOjbpeO2dw+3DoAuewSIBFiGECCYBFtHmjUkfQ1Z0VtD2OFMcF/S6AIPOULPNpDcxo88MYozBSd46xXTC4XFwae9LMelMQe1DkofQNa4rNw65MWRlkqkdpwYl1D2YBHMC1wy4JmTbncPvJCWiaccTIpSkiCTO7n520HYNGv458p8kW5Jrtul0OiZnTyYtMi1g3693fs053c8h0hBcKatHXA/6JvYN2JZsSebvI/4esj/XDrg2qGS6EOLYlxKRwt+G/y1k2+X9LufLnV8GbDNqjczoO4OPt35MvCme8Znj+WHfDwH7TMycGHS+Omg/LCn8Y+Q/QrZd1vcyOT81kaPeDBYJsAghRHjHTgp1cczqENmB16a+xvxN8/l428d4fB6mdprKlf2uJCMqI2j/zOhM3jv5PV5d+yrf7f4Oo87Imd3OZHzWeO7+4W66x3XntamvMW/9PH7e/zPRxmgu6nURp3Q9haSIJKIMUbx38ns8u+pZVhesJtGcyOX9LmdS9iTizfFN6rvFYOGCXhfQPb47L/7xIjnWHLrGdeWWIbfQJ7GPVFkRzSLGFMONg29kUMog5qydQ4GtgH5J/bhlyC10i+sWtH/HmI68OvVV3t7wNt/v/R4/fo7LOI6M6Azmnzyfl9e8zJKcJZh1Zs7reR5ndT+L1MjUgGPotXomZU2iwwkdeHb1s2wv205mVCbXD7qeoalDidBHtNJvL4RoK/Q6PVOyp5AWmcazq55lR/kOsqKzuKT3JXSL68aynGWkWlKpcFUwKm0UF/S8gLc3vM2UjlO4rO9luL1uxqaPZWX+ShLMCczsO5MTOp7Q5GuvVqNlTPoY5k6byzOrnmFL6RbSItO4buB1jEwbGTKQLMJzuH0YdcFLhOwuX7i3CCFEu3VEyzTPmjWLBQsWsGnTJiIiIhgzZgyPPfYYPXv2bPB9H3zwAffeey+7du2ie/fuPPbYY5x0UvhlJHVJqclDV2wvptBeSKGtkFRLKtHGaCpcFRTa1eukiKQmfwlqCrfXTamzFL/fj0lnosxZRk5lDn78ZEVnkWROIspUOzXZ4XFQ7ixHg4YEcwIun4tKVyUajYZEcyIOrwOry4pWoyXBnBAU7Kh0VmLz2NBqtAEzAA5Vib0El89FhC4Cl89Fob2QEkcJaZFpJJgTav7b+f1+CmwF5NvyqXBVkBmVSYI5gRjTsf/32l7Hp9VlpcRRwl7rXiJ0EaRFppFsSW4wH1Ao+VX5lLvK8fq8ROgjiDREhv3bdXqdFFQVkGPNwef3kRWdRYolBbPejN1jp8JZUTNWdFodFc4KShwl5FhziDHGkGpJJcWSgkajocxRhsPrwKg1khARelp+c6p0VlLsKCbHmkO0MbqmL6Fmnonm0V7HZntXYCugwFZAqaOU1MhUNGgotBXSIbIDTq8TP34i9BHst+4nQh947ip1lOL0OjFqjWg0Kv9ZpD4Sh9eB1+/Forfg8Drw+/3EmeIw6dXM0kpXJTa3uvYmRSTVVK5piM1jo9heTE5lDgatgfSodJIjkjHoDJQ7ynH6nHh8Hsqd5RQ7ilvlO0traunxef27q9hdXMU/T1LLUctsLq57ZxVzZgxjSp/Ug7xbCCHalyM6g2Xp0qVcf/31DB8+HI/Hwz/+8Q+mTp3Khg0biIwM/XTh559/5sILL2TWrFmccsopvPvuu5xxxhmsWrWKfv36tfJv0H7sq9zHTUtuCsjK3yexDzcOupG/L/s7le5KhqYO5d/j/t1iuRcMOgMplhSK7cV8u/tbHlvxWE0iTaPWyO3Dbmdqp6kkRSQBYNabMevNNe/X6/RYDJaa15HayAafYkWbook2hc4xcSiqbzx3le/ir4v+yt7K2rK3o9NG89DYh0i2JLO5ZDPXL7o+oCzlSZ1P4o5hdzRLoEe0LSWOEuaum8ubG96sSdgcY4zh6QlPMyhlUMiEj6FsLtnMTYtvYn/V/ppt4zLG8c9R/wya6VXlrmLJniU88MsDOLwq2aNBa+DO4XdyYucTiTHFBMxAKbIV8cTKJwKm9ydHJPPi5BfpmdCzVXMJFdmLeG7Vc3y87eOabYnmRJ6f/Dx9EmRWmBDNZXvZdv763V8DzinHZRzHWd3P4tzPz+WJcU/wR9EfvLn+zZq8KlGGKJ4c/yRDOwwNG7yIpva6GkNwMCDaGB2QN+pgyh3lfLTtI55f9XxNkt0IfQT/HvdvRqeNJtYcy56KPdyw+AZ2lu+seV9Lf2c5ljjd3nozWNR51i5LhIQQIsgRfdz39ddfc9lll9G3b18GDhzIvHnz2LNnD7///nvY9zz77LNMnz6dv/3tb/Tu3ZuHHnqIIUOG8MILL7Riz9uXEkcJty29Lajk4YbiDby27jUu7n0xoMrBPrr8USpdocscN5e9lXt58NcHA6qUuHwuZv02i90Vu1v0sw9Xga2Aa7+7NiC4AvBL7i88/fvT7Lfu56pvrgoIrgB8ufNL5m+ej8crVYeONT/u+5F56+cFVMOqcFVw7XfXkleV16hj7KnYw3XfXRdwIwTww74feHnNy1hd1qD97/7x7prgCqjqHg8vf5jtZdsD9nV73by76d2g3AmF9kKu/OZKcqtyG9XH5uD1efl026cBwRVQ5dmvWnhVo/97CSEalleVx9XfXB10Tvlx348sy1nGxb0upsBewNx1cwOS1lrdVq5fdD251tY7L6wrXsfTvz8dUMHI7rFz6/e3sq9qH0W2oqDgCqjvLLN+m9Xi31mOBXa3V5LcCiFEI7Wp+dTl5eUAJCSEn2L+yy+/MGXKlIBt06ZN45dffgm5v9PppKKiIuBHNE2Jo4QNxRtCtq3MX0m/pNqZQ9/v/Z4SR0mL9aXSVcmb698M2z5v3TzKHeUt9vmHK68qj33WfSHbVhWsYlPJJipcof9G39n4DoWOwpBtR6v2Pj6LbEXMXjM7ZJvb52bxnsWNOs7eyr1BQblqn+/4PKDN6XHy5obwY+jVta9S5a6q7aO9iHc3vRty3wpXRVDgtSUV2YuYu35uyDabx8afhX+2Wl+Ode19bLZ3DZ1TvtzxJSd0PIH3N78fst3j9/DVzq9asns1yp3lvLTmpZBtPr+PjzZ/RJW7Kii4Um3JniUt+p2lpbT2+HS4fQFJbnVaDXqtRgIsQggRQpsJsPh8Pm655RbGjh3b4FKfvLw8UlMD13umpqaSlxf6yeWsWbOIjY2t+cnKCq5GIxpW/+l3fXVnkvjxY3PbWqwvNrctbIACIMeaQ5WnKmz7kVZgKwjbFm+Kb3AGTpW7CpfX1RLdOmLa+/j0+r3st+4P276lrHHBi4bGhNvnxuGpnani9Dob/DvLqcwJ2N/lcwUEXOrbVbGrUX1sDm6fm3Jn+ADqjvIdrdaXY117H5vtXUPnJZfPhU6ja/C8s6V0S8CsvJbi9Dob7Ov2iu0Nnr9a+jtLS2nt8emot0QI1CwWh1uS3AohRH1tJsBy/fXXs27dOubPn9+sx7377rspLy+v+dm7d+/B3yQCxJniwrZpNdqAksd6rZ4oY1TY/Q9XtDGangnhkyD3jO8ZskRzW5EZlRm2rcRRQq+EXmHbE82JmHXmsO1Ho/Y+Po06I93ju4dtH5Y6rFHH6RrXNWxbpCESi74291CEPoL+Sf3D7t8nsU9AriKTzkSiOXxJ04b+ZpubUWdsMF9C3dl04vC097HZ3nWO7Ry2LcoQhdvnpkd8j7D7DOswrFWSTlv0FnrGh/9OMDh5cIMJ4lv6O0tLae3x6XT7MOhDBVhkBosQQtTXJgIsN9xwA59//jlLliwhMzP8DShAhw4dyM/PD9iWn59Phw6hv3SbTCZiYmICfkTTJJgTmJg1MWTblOwp/JJbuzzrnO7n1CSZbQkWg4VLel8SsrqKTqPjsr6XtekvS8mW5LA3tyd2OZEusV1Clp4GuG7Qdcdcktv2Pj7jzfHcMuSWkG0xxhhGpo1s1HE6RHYIWY4Z4OLeF9PBUnt+NOgMXNDrAgxaQ9C+Oo2OK/pfEZDgNsWSwnWDrgt57IyoDDrHhL8Ra24plhRuGnxT2LaGgq+iadr72Gzv0qPSw55Tzut5Hh9u/bAm/1p9UYYoxmeOb8nu1X6WMYrrB1+PhuBKQ2admZO7nEykIZLhqcNDvv/c7ue26HeWltLa49PhCTGDRaeVJLdCCBHCIQVY9uzZww8//MDChQtZtWoVTqfz4G8Kwe/3c8MNN/Dxxx+zePFiOnc++Bf10aNHs2jRooBt3377LaNHjz6kPoiDizHFcM+oezip80k1T6T0Gj2ndDmFqZ2m8v7m99Fr9VzY80L+MvAvATdnLSEjKoMXJ79IemR6zbYOkR14ftLzZEY3HKA70hIjEnlywpOMzxhf84XQqDUyo88MZvSZQVpUGq9OfZUhKUNq3hOhj+CWIbcwteNUKUN7DOqf1J9Hxj5CrCm2ZluP+B7Mmz4v4G+8IRlRGTwz8RlGpY2q2WbSmbi87+Wc0/0cTAZT0P6vTn01IJiXaknlxckvkh2dHbCvVqNlasep3DLkloCxPSRlCK9OfZXUyNYt0TkuYxx3Dr8zoALYgKQBvD71dakGIkQzSYpI4oXJLwScU8w6M5f0voS0yDQW71lMhD6CB0Y/QLyptlpQ17iuzJ0+l/Soxp27mkOX2C48O/HZgEBJx5iOvD79ddKj0ok3x/PouEeZnD255rqr1+q5sNeFXDPwmhb/znIscLi9ATlYAEyyREgIIULS+P1+f2N23LVrFy+99BLz588nJyeHum8zGo2MGzeOa665hrPPPhuttnE3gX/961959913+fTTT+nZs/bJY2xsLBER6oI3Y8YMMjIymDVrFqDKNI8fP55///vfnHzyycyfP59HH3200WWaKyoqiI2Npby8XJ7INVGVu4piezFV7iqijFFEGaKodFVS5a4i2hhNjDGGEkcJbp8bs85MRlRGo/8WQrG6rJQ5y/D6vUQbozFqjZQ5y/D5fcSZ4qhwVVDuLMePnzhT3BENrnh9XgrthTg9Tow6I8kRyeh14augVzorKXGWYHPbiDZGkxyRjElfexNc5iijzFmGw+sgxhhDckQyBl3wjINjTXsdn16fl9yqXGxuG3qtnhhjDEmW8E9VHR4HeVV5uLyummUzZr2ZIlsRFa4KXD4XEboIkiOSsRgtYY9TYCug3FmOz+8j3hRPsiUZjSb4STCoakKF9kIqXBWYdWbiTfHEmmND7tvSPF4PBfYCKlwVmHQm4kxxYUvCiubRXsdme1fhrKDEUYLD4yDKqJYGub1uIvQR+PHjw4cWLXaPHb1Wj1lvxu/zo9VqSTQnBlzXDkf1+cftdWPWm0m2JAc8cPD5fRTaCilzlqHT6IgzxwXNTLG6rJQ4Smq+syRGJB4zwZWWHp/9/7WQUwakc9rA2sDZPZ+sZWSXRB49M/ySUyGEaI8aFWC56aabeOONN5g2bRqnnnoqI0aMID09nYiICEpKSli3bh0//PAD8+fPR6fTMXfuXIYPDz0dM+DDw3yRnzt3LpdddhkAEyZMoFOnTsybN6+m/YMPPuCee+5h165ddO/enccff5yTTjqpUb+wfElsGfut+5m7bi6fbv8Uu8dOckQy1w68lvFZ40m1NP0J9+6K3Ty+4nF+yPkBP356xvfkxsE3Mn/zfH7c9yN9E/ty76h76RHf44gHHkocJXy540te/vNlypxlRBmiuKT3JZzf6/yjcurxkdQex6fdbWdd8ToeWf4I28u2o9VomZQ1iduH3R4yaLivch+f7fiMtza8RYWrghhjDBf1vogzup7BmxveZMHWBTi8DlItqdw85GbGZY5rMI+SEI3RHsemqLXPuo+nVj7Foj2L8Pq9dI7tzLUDrmXxnsXk2fK4e8TdVLgquP/n+8mtysWgNXB6t9O5dsC1hz3LrdBWyFsb3mL+5vnYPXYSzYncMPgGJmdPlsDqAS09Pnv88ysuHJHN9H61swQf+Gw9fdJjeOq8Qc3+eUIIcTRrVIDl7rvv5o477iAxMXyiw2pff/01NpuNs846q1k62NzkS2Lzy6vK4/6f7+fn/T8Htf1t2N+4oNcFGHXGRh9vv3U/F31xEcWO4oDteo2eZyc9y13L7qLSXYlRa+SD0z6gS2yXw/4dDpXT4+TVta/y8p8vB7Wd2e1M/j787206J0xb0x7H59rCtVz85cX4CTwVp0Wm8eaJbwYseymxlzB7zWze2/xe0HHO7n42Wo2WD7Z8ELD9gTEPcEa3M2R5mTgs7XFsCiW/Kp+ZX88MqhqkQcOTE57k37/9m0pXJc9MfIbrF12Px+ep2WdA0gCenfTsIT9sKHeUc/8v97Noz6Kgtr8N+xsX9bqowdmi7UVLjk+/30/nu7/kqnGdmdyrNlg268uNZCZE8OLFQ5v184QQ4mjXqG/cs2bNalRwBWD69OltNrgiWkaJoyRkcAXg5T9fJrcqt0nH+3n/z0HBFQCP38P7m9/n1K6nAqpU5OtrXw8oKdvaiuxFzF03N2TbJ9s+ocRR0so9EkeTcmc5T/7+ZFBwBSC3Kpc1hWsCtpU5y4ICKNU+2fZJyMSSz656tsHy4EII0ZD1xetDlmT24+eN9W9wVvezsHvsfL3zayZlTQrY58+iPxss53wwRY6ikMEVgJfWvEShvfCQjy0ax+lReVbqJ7k16LU4XJLkVggh6pNHmuKwbS3dGratwlWB1WVt9LHcPjdLc5aGbV9TuCagrO2KvBVY3Y0/fnMrd5Xj8rlCtvnxk2/LD9kmBIDdY2dNwZqw7T/k/BDwutRZisfvCbmv1+/F6Q1OOF6dc0AIIQ5F/fNQXX8W/llTbaj+9bna2sK1h/zZeyr2hG2zuq1UuioP+diicZzu0AEWVUVIktwKIUR9TQ6wFBcXc/3119OnTx+SkpJISEgI+BHtT0NTfzVoMOvNjT6WTqMLKClbX4I5gQpXRe3riAQMmiOXg8WkaziBX5RBlgeJ8LQaLQkR4c+b9StxROgaTsgYKh+RVqNt0hI9IYSoKy0qLWxbgjmh5iFKgjkhZMAjxZJyyJ9dt7paKM2VRFeE5/SoWSqGelWEjHotDo/MYBFCiPqavHD10ksvZdu2bVx55ZWkpqaGTVQr2o+s6CxiTbGUO8uD2samj21Sgk2tRss5Pc5h/ub5IdvP6HYGX+74sub1lf2uPGKVTEB9oeyT2IcNxRuC2tIj00mMaNzSOtE+JUUkMbPPTJ5Y+URQmwYN0ztND9gWY4qhW1w3tpVtC9q/U0wncq3By/EmZk0kwSzBbyHEoZnacSovrH4h5FLGM7qdwRc7vwDgtK6n8Z8//hPQbtKZ6JvY95A/Oz0qnQRzQsjltiM7jAwoES1ahiPcDBa9FodbAixCCFFfk2ew/PDDD3zwwQfceeedXHbZZcycOTPgR7Q/6VHpPDfxOSINkQHbO8V04q4RdzU5yJAelc49o+5BQ2DwblL2JGKNsWwu3QzAOT3OYUjKkMPr/GGKN8fz+LjHAxKRAsSb4nlh8guH9eROHPu0Gi0ndj6RCZkTArbrNDoePe7RoL+rzOhMHhv3GMkRyQHbE82JPH7847y3KTD5bbe4bvx9+N+DxqYQQjRWqiWVx45/DJ1GF7B9VNooeib0ZEXeCi7ufTE+vy9gWaxJZ+I/k/9zSJUE6372S5NfItoQHbA9KzqLf435FzEmSbjc0mpmsIRYIuSQJUJCCBGkUVWE6ho+fDjPP/88o0aNaqk+tSiphNAy3B43+6v2s6FkAzmVOfRN6kunmE7E6My4PA6iTLEYjZFYXVZcXhfRxmgMOgOVzkrcfjcxhhj0Oj0Vrgq8Pi8GrYESRwkr8lZgc9sYnjacaEM0+6z78OEjIzKDOHMcXp+68MeaYoNmU/n8Psqd5Wg12oNOM24Ml9dFlbsKo9ZIpDESp8eJzWPDpDNR6apkZ/lOtpRuoVNsJ7rHdW9wWrUIrb2Oz1J7KXm2PFbmryTaGM3Q1KEkmZOIMIReErS7Yje7ynexrWwbXWK70CW2CxnRGeTb8tlQtIH9Vfvpl9SP7Ohski0qGFNkK8Ltc5MQkRCwtC2nIge/xk9aRBp6vZrU6PV5qXBVoNPoAm5g3G47lY5SjDozURaZFdOetNex2V5V2kuxuq1EGqLwAg6vA5fPxZqCNZS7yhmVNgqvz0uJs4T0yHQi9ZFoNBpyrDmsLVpLiiWFfon9SLWkotfpKXOUYfPYiDXG4vP71HXfGINeq8454a7XTo8Tu8eO1W1la+lW9lbupXdibzrGdKx5gFHuLMfn9xFrim231dJacnyu21fOKc//yKNn9qdzUm2w/r8r9/LrjmJ+uXtys36eEEIc7Zq8ROjFF1/krrvu4r777qNfv34YDIFr/uWLV/tk0BvoGNuRjrEdASiz5rO5bAuvb3iLQnsRw1KGcHbPc/hoywJW5q9kdPpoTut6Gu9ufJd1xesYlzGOkzqfxOvrXmdr2VYmZ09mUvYktpVto9xRzoDkAWwo3sCHWz7E4/NwcpeTGdFhBE+veppyRzlndj+TCVkTap7451pzWbhrIV/s/AKj1sgFvS5gZNrIQ5pR4va6ybHm8PaGt1ldsJrUyFRm9p1Jib2EOWvnkBGVwZX9r6RvYl9GpR+dgUdxZNm8Nn7K+YmNpRvRaXVEGiIZnDI4ZIDF5rZh99hZuncpZa4ycipzSI1MpdxZzn7rfpbsXYLT66SgqoBzep6Dt8rL6oLVzN80H6vbynHpx3Fu93PxaXz8uO9H/rf9f/j9fqZ3ns7k7MmYtCY+2/kZX+/8GrPezCW9L2FIyhAc7krmb3yPXwtWkWhO4PLel9A7oRfxUeFzJgkhji7ltmL2VO1n3vp57CjfQZfYLpzV/Sx+y/2NMmcZV/S7ApPOxE/7f+KDLR/g9/trr7+WDiRZkhiUMqjmeIW2QraXbeeNDW+QX5VP38S+XNT7In7d/yuV7krO7XEufvx8tfMrvtr5FWa9mYt6XcTwDsMpc5Yxb/08NhZvJCsmi2sHXMvItJFYDBYACmwFLM9dznub3sPtc3NKl1OY1mla0Mw/cXiqlwEZdIEPsYw6LU5ZIiSEEEGaPINl69atXHTRRaxatSpgu9/vR6PR4PW27ZOtPIVredaqIt7Y8CazNwSWLzbpTDwx/gke+fUR8m35WPQWnhj/BPf8eA+lzlJijDE8fvzj3L70dqrcVSSaE3nkuEcothczf/N81hYFViLIjM7kzuF3cuPiGwHoGteV2VNm4/f7uezry9hftT9g/2Gpw3j8+Mdrnug31trCtVz29WVB1YKu6HcFJY4SPtn2CQD/GPkPzuh6RthZB+Lg2uP43Fu5l0u+vCQox8Dk7MncO+regCV2Hp+HpTlLuXXJrQH5EM7odgbpkem8uObFgGMYtUaenfgsjyx/hBxrTs32z8/8nDuW3sGmkk0B+3eO6cyTE57krP+dFbB9bPpYJmVP4qFfHwrYPrPnBVzT/2piImUp3LGuPY7N9sbptrMkZyl/X/b3gPOLBg3/GPkPFu5ayPk9z+f1da+zsWRjwHs7x3bmlRNeCQhulDlUWfnnVj8XsK9eq2f2lNnMXTeXGX1ncN9P9wUsLeqV0Isr+13JXT/chdcf+J3ywTEPcmLnE6l0VXLH93ewqjDwu2hmVCavT3u93c0gbcnx+dO2Ii6es5xnzh9Eakxt0YIv1+by0aocNjw4vYF3CyFE+9PkuZQXX3wxBoOBd999l0WLFrF48WIWL17MkiVLWLx4cUv0URxlipylQcEVAKfXyew/ZnNez/MAsHlszFs/j7O6q5u5ClcF8zfP59QupwJQ7Cjm530/4/V7g4IrADmVOazKX8XIDiMB2F62ne/3fs8P+34ICq4ArMxfGfSl8GBK7CXc//P9IUsxz1s/j6kdp9a8fnzF4xQ7ipt0fNG+OTwOXvnzlZAJHBftWcSeysASpYW2Qu776b6gZJNTO07lpTUvBR3D5XPx9KqnOb/X+TXbbh58MytyVwQFVwB2Vuxkac5Szu5+dsD2n/b/hFlvJtEcmE/pjc3zKXKUHvwXFUK0efm2fB5e/nDQ+cWPn+dWPcdV/a8iz5YX8jq6s3wni/cspu4zuxJnSVDSW1CB4kd+fYQbB9/Ioj2LAoIrABf1uognVj4RFFwBeGT5IxQ7illbtDYouAKQY83h0+2f1iwfFocvXA4Wg05bU8JZCCFErSYHWNatW8fcuXM5//zzmTBhAuPHjw/4EWJNQfCXnmobSjbQJbZLzesVeSvom1RbYWBZzjKGdRhW89rtd/P1rq/DHm/x3sWMSR9T8/rjrR+HLBNZ7YMtH+D0OA/6O1Qrd5WztWxryDaf38euil01T+w8Pg+7ync1+thClDvLWbhrYdj2z7d/HvC61FkaUKYcoENkB3ZV7ApZ4QNgS+kWMqMya16PzxzP5zs/D7kvwFc7v2JS9qSg7T/k/BAwNqv9tv/nsMcSQhw9Sp1lIasBAlS6K4k2RLNkz5Kw71+wdQFlzrKa15tLNocMkoAK5mo0mpDHizZGU2ArCPk+p9fJfuv+mpmjoXy6/VNKJfDbbKqDKMYQZZq9fj9urwRZhBCiriYHWIYNG8bevXtboi+iHdIc+L+6r0Pt09D7A24sD1I1XIOmWUuLa9AEPLGTsuWiOTX276mhMRJ0HM3Bx1SoWI1GE257+0wqKUS7c7Dra73z1cHOS4fejYOc79RJTjQTx4EZLEFlmg+8llLNQggRqMnfjG+88UZuvvlm5s2bx++//86ff/4Z8CPEoNQhYb8A9Uvqx/ay7TWvR6aNZE3hmprX47PGszx3ec1rg9bA9E7h1/dOzp7Mj/t+rHl9TvdziDGGX398bo9zMeqMjfo9AGKNsfSM7xmyTavR0jGmY830ZoPWQMeYjo0+thCxplhO6nxS2Pbq5XLVEswJxJniArblVeXRMaZj2OoZPeN7srt8d83rRXsWcVrX08J+5ildTuGb3d8EbT8+43hW5K8I2j5cEjsLcUyIN8UFnV+qxRhjKHeWMzk7fMWYs7ufHfD+ngk90WtC11LoGtcVn8/HlI5TgtoqXBVhSztH6CNIi0qrWVocyhndziDeFB+2XTRN9QwWff0kt/rqAIvMYBFCiLqaHGA5//zz2bhxI1dccQXDhw9n0KBBDB48uOZ/hUg0JXBD/6uDtkfoI/jLgL/w3y3/BSDKEMXMPjNrpvrGmeI4r8d5fLHjCwCSIpIYmzEWNDA4Jfhvq2NMRwamDGRl/koAesT34PjM4zku4zgyozOD9h+VNopeCb2a9LskRCTwwJgHMOvMQW1X9b+Kr3Z+VfP6HyP/QVJEUpOOL9o3s97MVf2vCvl3M73TdLJisgK2JUck89DYh4KCKV/u/JIbB90YfHydmVuH3sr8zfNrtv3nj/8wJHUIfRP7Bu3fLa4bYzPG8un2TwO2j88cj9VtDcoVc1XvS0k2SblmIY4FaZY07h99X9D5RYOGW4feypy1c0iyJNEvsV/Qe3vE9WBi1sSAWSzx5nhuHnJz0L5GrZF/jvwnz65+lglZE0iPTA9of2fjO9w5/M6QwZl7R91LckQyfRP7MqLDiKD27OhsTut6GjqtrtG/t2iY0+NDr9Wg1YQLsMgMFiGEqKvJVYR2797dYHvHjm37Cb5UQmgd5dZ8tpXvYN6mtymwFzE8ZQindTuTBVsXsLpwNWPTx3Ji5xN5Z8M7bCzdyISsCUzJnsLcdXPZUb6DEzqewHEZxzFn7RwKbAXcOvRW9ln38d/N/8Xj83Bq11MZlDKI51Y9R4WrgrN7nM2YtDGkRqqnXnlVeSzZu4TPtn+GUWfkol4XMThlcJMrCIHKrVL92SvzV9LB0oFL+1xKga2AN9a/QVZ0FjP7zaRzTGeijFHN/Z+yXWmv43O/dT8Ldy1k4a6FRBoimdFnBv2S+gVUEKpmd9vZa93LWxveYkvJFrrGdeWyvpeRGJHInso9vLHuDXJtuQxLHcZ5Pc/DrDOztmhtTZnmcRnjOLPrmXjwsDJ/JZ9s+wSf38dJnU/iuIzjMGlNfLP7G77c9SVmnZlL+1xK/6T+OFyVLNjyET8XrCTJnMhlvS6ie1x34qJCP2kWx5b2Ojbbm3J7Cftsuby14W12lO2gc1xnzuh2Br/s+wWb18aFPS/EYrCwMm8l729+Hz9+zup+FmPTx9Zcf+sqshWxq3IXb65/U5VpTurL+T3P58d9P+LxedRsOg0s2r2IL3Z+gVln5uLeFzMweSCVrkre3vg264vW0zGmI5f1vYzs2GyiDOo6W2grZFXBKt7b9B4ur4vTup6mykW3wzLNLTk+X1m2nWe/28qcmcMDtm/Oq+Rfn63nu9uOp1tKdLN+phBCHM2aHGA52h1LXxJL7CXsr9rP8tzlRBujGZU2iqSIJCwGy5HuWg27owynx0GkKQ6DwYzNbcPlcxFliEKv1VPlrsLtcxNtiEan1WF1WfH6vUQbo9FqtJTYS/D4PCRFJKHVaql0VuLHT4xJ/f+uwqkSfla/rmErxm8roaJ8D1qNjui4TmBJAPOh///c7XVT5a7CqDNiMVhweV3Y3DbMejNmffAMF9F0x9L4bIoSewmlzlL2W/dj1BrJiM4gwZzQ4Fh2epzYPXYi9BGY9Kaa7Ta3DZfXRaQhEoPOULO91FGK2+sm3hyvttvLwOch11OFz+8nwxANWi1ExOPz+6h0VaLT6AKChh63A6uzDKPejMUc1xL/KUQb1V7H5rGm3FlOob2Qn/ep5NRjMsaQEpESdA2tcpRjdVuJMkTj0fhxuKqI9eswb10I9mLoPpUKSxIYI4KvvyFUOCuwe+zEGGPw+X24/bXXfQC/30+FqyLonNOY62ylsxIfPmKMMe02D1pLjs/nF23ltZ928tLFQwO27yyq4h8fr+XzG4+jX0Zss36mEEIczUIvjm3ArFmzSE1N5YorrgjY/vrrr1NYWMidd97ZbJ0T4VWXa/1xf23+EQ0a7ht9H9M7T695wnOkRZjjiKjz2mKwYKH2pjHSEBmwf/0ZIAkRgcsPok2BT0lCfrGzFsDXd6NZ9yEBl/wpD8DQyyAirvG/QB0GnYE4Xe17jTpjk/K5CBFKoa2Qe366h5/rVOPRoOGBMQ8wteNUIo2RId9n0psCAivVLAZLyMBMvLlOTgJbCfz8HPz4NGl1dxp2BUz8B9rIZGJNwV+Y9QYzcYb293RYiGNBqaOUV/58hbc3vl27cSVc2vtSrh5wdcA5ItIcS6T5wDnAZSV2+1L49K/gP5Bv47t/EdN5Apz1MjQiwBJjimkwEKPRaEKecxpzna3/vUA0L4fHG5TgFiTJrRBChNPkHCwvv/wyvXoF57Ho27cvs2fPbpZOiYb5/D6+2vlVQHAFwI+fB355gLyqvCPUszZi+2JY92Hw9u/uh9Kdrd8fIcLw+X18tuOzgOAKqLF838/31SRQbnYFG+HHp4O3r3wd9oUvsy6EOHptKtkUGFw54K2Nb7GpZFP4N1bsh0+vqw2uVNv5Pax+G3xyg30sc7p9GEIFWPRqtpBdAixCCBGgyQGWvLw80tLSgrYnJyeTm5vbLJ0SDSuyF/HmhjfDtn++/fNW7E0bYy1UT+bD+e1V8Hlarz9CNKDIXsRbG94K2/7lzi+b/0NdNvj5+fDtPz4N9vLm/1whxBFT5ari9XWvh22fu24uVe6q0I3rP4Fwq8l/fVHNGhXHLKfHh0EXvPTKoJMqQkIIEUqTAyxZWVn89NNPQdt/+ukn0tPTQ7xDNDef30epozRse7ueweLzQFVR+HZrHnjdrdcfIRrg8/soc5SFbW+Rsex1ga0wfLutWO0jhDhmuHyuoCpgdZU6VY6mkMr3hT+wvQT8MoPhWOb0eGsqBtUlVYSEECK0JgdYrr76am655Rbmzp3L7t272b17N6+//jq33norV18dXJpXNL9IQyRDU4eGbZ+YNbEVe9PGmGOg0/Hh23ucBIaI8O1CtCKL3sKQ1CFh2ydkTWj+DzVGQ7ep4du7TDysZNBCiLYn2hDNcenHhW0fmz42fO62HtPCHzhrFBhC54kSxwY1g0UCLEII0VhNDrD87W9/48orr+Svf/0rXbp0oUuXLtx4443cdNNN3H333S3RR1FPtDGaW4begk6jC2pLj0xnYMrAI9CrNsIYCcffAaGS4kUmQ48GbiyFaGUxphhuHXorWk3wqTgzKpN+Sf2a/0N1Ohh4PoSqAmSMhJF/gRDJc4UQRy+9Ts85Pc4JSiwPEGWI4uweZ6PXhal7kD4IEroEb9doYerDYIkPbhPHDKfbhz7EEiG9VotOq8HhkSVCQghRV5MDLBqNhscee4zCwkJ+/fVX1qxZQ0lJCffdd19L9E+E0SW2C/Omz6N3Qm8A9Bo9J3U+idenvU6HyHZe5SOxC1z5LWSOUK81Wuh1MlyxEOKyj2zfhKinW1w35k2fR68ElTxcr9FzcueTmTNtTsuN5biOaox0mwLVZU07jVPb4ju1zGcKIY6ojOgM3j7pbUanja7ZNjptNG+f9DYZURnh3xiTDjM+hQEXQHXp99R+cNkXkNKnhXstjjSH24tBG/p2wajT4pQZLEIIEUDj94fLXHZsqqioIDY2lvLycmJijv5p8KX2UqxuKzqtjjhTXMjyrG1GeY4qD+txQEQ8RKeBqYFy0pV5Kh+EzwOWRIhKU0/fG8tWAo5yFWCxJMBhlHJ0eBwU2YuocFUQoY8gwZwQsqSkODzH2vhsihJHCVWuKrRaLfGm+IbHsrNSJZZ0VqgSqZEpYG7a37ff76fAmkuZsxS/30+8OY7kqPSQs2ka5LRCVQE4KtR4jkwGcyzYS1U+JFeVeh2VCsY2fH4SDWrPY/OY4vdTac2l3F0FaIg1WIiOSlPXZWs+2MvAYIHIJHXdrMtlA1sRoFV5V5wVarslEaI6QJib8IPx+DwU2YsodZSi0+iIN8eTbEk+nN+y3WnJ8XnBK7+i0cBNk7oHtV339u9cNa4zN4RoE0KI9irMfNBA1157Lffccw+ZmZkH3ff999/H4/Fw8cUXH3bnxMHFR8QTH3EUTM8t2AgfXwu5f6jXhggYfQMMvRxi6z0583ogbw18eGVtWeWIeDjxCbUWvLH5ISwJwV8QD0GxvZh56+fxzsZ3cPtUEsChKUN55LhHyIhu4KmfEE2QYE4gwdyIv9eKXPjmn7D+Y1U2VaOB3qfD9FnqSXMjOL1O1hSs4R8//qOmFHSiOZGHxj7EsNRhRDQ2T1FlHnz3AKx9X5Vq1Wig71kw6R747BbYuVTtp9WrsX783yA6tXHHFkI0L7cd9vxC9CfXEV15IIF2dBqc/oI6r3x5O3icanvWSDjzZUjoXPt+owU0KZDzG3z8F1W+GSAqBU77D3Q6rslB1EpXJT/s+4FHlz9KuVNVL8uMzuTx4x+nd0Jv9NpGfU0VLcjp8RJjNoRsM+q1UqZZCCHqadTjhuTkZPr27ctJJ53ESy+9xIoVK9i3bx/FxcVs27aN//3vf/z9738nOzubp59+mv79+7d0v8XRpGQnvH1WbXAF1Be9ZU/Axs/AV2/9bvlemHdKbXAF1NPwBVdB/rpW6XJNN71u5m+ez7z182qCKwC/F/zOdYuuo7ChaixCNDdHOXz1d1j3kQqugCqfuuET+Pw29fS5EfZV7uMv3/6lJrgCUOwo5obFN7Cnck/j+uK0quDKmndVcKW6L1kj4L8za4MroGahrXhVlVB3Oxp3fCFE8yrdBe+cowKj1Spz4d3zILoDUCfPxt7l6rpdmRt4jLLd8NaZtcEVULPp3jsfSnY0uUtbS7dy57I7a4IrADmVOVy58Epyq3IbeKdoLU536CS3oAIsUqZZCCECNSrA8tBDD7FlyxbGjh3Liy++yKhRo8jOziYlJYWePXsyY8YMduzYwSuvvMKvv/7KgAEDWrrf4miSvz7wy1hdPz6lvrDVtf5jcNtC77/oIRVsaSWF9kLeXP9myLad5TvZbw3zewnREqoKYdNnodu2fKXaD8LtdfPupnfx+D1BbT6/j9fWvobdY29EXwrgz/mB23RGiMmAvD9Dv2fFHLUMQQjRutwO+Om52mBoXT4v/Pk+9D41cHvJDvWApJrHBctfVgHT+vw++PHp8NfuECqcFTy36rmQbXaPna93ft3oY4mW4/R4MYRIcgsqB4tUERJCiECNnnuZmprKP//5T/75z39SWlrKnj17sNvtJCUl0bVrVzSa0CdfIchdE77Nml87JRnUF7ic38LvX7hRzX5ppWVRdo8dmyf8F8ZdFbvad9Um0brs5WqWSNj2soMfwmNnQ/GGsO2bSjZhc9uI0B9kmZCjvHYWTbWI+PDBVFB5HlzWg/ZRCNHMXFXhA58AhZuge4hyzIWboeMY9W93FeSuDn+M/LXgrFI5XBrB7rGzrXxb2PY/Cv/A5XVhDFUVULQah9tXU5K5PlkiJIQQwQ4pI1l8fDwDBw5k1KhRdOvWTYIromHJPcO3RcQHllTWGyGlb/j94zu1aglZs86MURv+y12DlReEaG4HS9TciES3Jp2JzrGdw7Z3jOl48OBKuL44ylUy23C0eghRJlYI0cIMEZDYLXx7fCew5gVvr5uDxWCBxB7hj5HQpUk5WEw6E5lR4XP79YjrgUEbOveHaD1qBktDVYRkiZAQQtR1aCnfhWiK9MHhZ5wMvwZi633BGniBuhELZcLdqmJBK0mKSOLs7meHbEu1pJIVndVqfRGCyCSVSDKUrJHQiMobJr2JGX1moCF0YPyqAVc1rhqZJVklna7L41CVRRK6hH5P//MgSqqDCNHqjBY47pbw7QMvgA2fBm6LSoXEOtVh9CYYfX1taff6xt0OxsYHUOPMcfx10F9Dtuk1ek7vdro8wGsDnB4fxjABFoPMYBFCiCASYBEtL74zXLJA5WaoptHAwItgyKVq1kpdsVlw0QdgjqvdpjPA5H9B5vDW6HENk97E1QOuZmrHqQHbs6OzeXXqq6RGSkUU0YosCXDGbMgcEbg9YyicPQciGxd8zIrO4onxT2DR1wZSzDozD4x5gK6xXRvXl4hYOPlp6DQucPv6j+HC+ZBU70l3j+kw+b4m3YAJIZpRYjdVGahuANVgUdvK96vy79XiO8GM/wVX+UvoAme/HjiODRFw+n8gqYHZqmEMTBrIbUNvC6gWFGOM4YXJL5AWldbk44nmd7Akt3aXBFiEEKIujd/f0IL+lrVs2TKeeOIJfv/9d3Jzc/n4448544wzwu7//fffM3HixKDtubm5dOjQoVGfWVFRQWxsLOXl5cTENLLcb3tSVayeQuv0oaf6WwvA61bLeg72JNrvVzlWfF4wxeBzVlDkseLz+7HoTMQYo9UT+Wpej0qc6feDMQq3102JuwI/EKOLwGKMVPkb/H41I0ajBVsJaPwQkaC+5NXlrAJnGaABS1JwIMdRqZ62a7QQmQI6XdhfpcJZQYmjhAJbAdHGaJIikkhuxGwB0TRH4/j0+3wUWffh9fuJ0JuIPdSgm7MSHBUq+BiZosZgOFVFKqFtVaEaQ5HJEJkc0Bezzkhc1IHzotej9vX7wBQD5mhcXhdFVfnkV+Xhw0cHSxpJUamYdCY1rhxlgEZVF6keW/ZScNnUmIlKBa1WnTOqCtXYtSSqvkSlQGW+2mYvVcewJIPlKCgpL0I6Gsdmu2UtBK8r9HXa44SKfVC+T72OzQC9Wf3b7VDXf63uwFhOUlX+yveA34/HGEmJFnw+Lxa02J0VgJ9YQxTmiAQwmA+pu3aPnWJ7MXlVeRh0BlIsKSRHJEuJ5iZoqfHp9/vpfPeXXDWuM5N7BV/bXl66nXKHm4//OrbZPlMIIY52R/TqVVVVxcCBA7niiis466yzGv2+zZs3B1xAUlJSWqJ77Yu9HPavgu/uV1V/4rLh+Duh+2R1w2QrgZ3LYMkjqrJAUg+YdC9kj1JP1euz5sP6T+HnZ8FVReFV3/DF3sW8ueW/lDpLGZI8iNuG3ExXvQGzKVYlxlzxOvz+GkSlknfhO7yz+b8s2Pk5Tq+T8eljuWHgdWT/+AK6vb/B6S/A6ndg3YeAH/qepaYnJ3RWXwhLdsD3s2DT52pa86CLYdRfIS5LffEs2qpKzO5YAuYYGH41DJkBMekh//PEmGKIMcXQKbZTi/6/QRxdiir3sXDX18zd9B7FjmIGJg7gtiE30S22C5bGJmL2uKFkGyx6ELYvUk+Gh10Jw64I+/eogipJQO+aTcWV+1m05zvmbHybQnshfRP6ctvgG+kZlUHk72+pMsnOSug6CU54CKNWS/qPz5C+8TMVtOw5HcbfqcbH4odg23fq6fbAC2HENSq4+fVdqnyrJQlG3wD9z1HBk8hEoFdgH6NT1Y8QonXYSmDXD+o6XbwdkrrDpPsCr9Nlu+GHp2Hzl+p1z5Pg+L9B6U5Y+pj6HhCVCmNuVksAN30Jq+aRP+1BPir5kyV5v3HrsFv5eufXLNy1ED9+pnWaxjX9ryHLcGhLZiP0EWRGZ5IZHT4fizgynB6VXyXcEiGZwSKEEMGO6AyWujQaTaNnsJSWlhIXF3dInyNP4ULweWHth/DxNcFtY26EsbfBqrnqBrC+6Y/BsMsDE8/aSuCLO2D9RwCUXPEV/9w0lx9zfw14q1ajZd4JrzI4ugu8fWZNhYP863/m6h/vZmfFzoD9LXoL709/g05l++GT66CyXkK+yGS4erGaYfPKBDU7pa6ELjDzM1Vp5dWJ6kayrvShcOG76oZRHBFH0/gsrczlod9m8W3OkoDtGjS8Ovk/jMwcF+ad9RRsVH+vHkfg9g4D4KL/QszBp8mXW/N54vcn+XTXV0FtL4x+iPGL/w/y1tZuvPB9+OLWwIo/Bgtc8C68f7GqOFJXck848xV4ZXzg9h7T1dKAujPRxDHpaBqb7ZLbDr++BIseCG6b/m8YegVU7IW5J6qZqNVSesNxt6nrf/2vg71Pg5TeFCZkc+Oe/7G+ZCMvTHqBB399kAJbQcCuCeYE3j3pXTKiJfH7kdBS47Pc7mbgA99wy+TujOwSvAT1neW7WbuvnKV/C55dLoQQ7VWTc7Dk5+dz6aWXkp6ejl6vR6fTBfy0hkGDBpGWlsYJJ5zATz/91CqfeUyrzIWFd4Vu++U/YCuC7/8dun3xg2q2SsDx8mqCK0Qms99gCAquAPj8Pmat/D9KXGW15SO7TuSPsq1BwRUAm8fGnPVzsRvMwcEVUMsU9v4OvzwfHFwBNatl14/w26vBwRWA/b+rkpRCNEKhozgouALgx88jK56gqDLn4AdxVKiZVPWDK6DGRMH6RvWlyFkaMrgC8OifL1Ewqk7wNGsk7FsZXE65/znw+9zg4AqocVG0JTjfypavGy7LLIRoHdYCWBrmOr3oQRWA+WN+YHAF1Gy572eFLv++8X+QPZptZgvrSzYyJGUIfxb9GRRcAShxlPDxto/x+DzN8MuItsJ5IIGtPswMFpNei0OqCAkhRIAmLxG67LLL2LNnD/feey9paWmtmuE9LS2N2bNnM2zYMJxOJ3PmzGHChAksX76cIUOGhHyP0+nE6XTWvK6oCHHj3d7Zy9Ssk1D8PijeqnIwhApKuKpUPoi47NptOStq/91tCr/l/Rb2ozeWbKTK56Z6kZGn1yl8uTf4prXa0v0/c2OPiwhbRNZrh81fh30/az8Iv+wCYONn0GV8+HbRrI7m8bk6f2XYtp0VO7G6qzjovA5npVoWFM66j6HblIP2ZWPRurBt+6v2UxmZSM1CyszhsHNp8I6Zw+Gbexv4kM+g96lqCUJdu36AtAEH7aM4uhzNY7NdqipQ+VVCcdvAXgJbFwa3RaWohw/h2Ev5rmw1AAOSB/Dr/uCHJdUW7VnERb0vIsEcYtmwaFatNT5rlgjpw5dpdkgVISGECNDkAMuPP/7IDz/8wKBBg1qgOw3r2bMnPXvWZqkfM2YM27dv5+mnn+att94K+Z5Zs2bxwAMhpsyKWjpDw+3GqPBf3EAl0qvLFF37b6eVaENU2LfqNXp02tqZTxqXjegGSsRGGiLR+hu4mPv9DVcpMceqHC3hNDZvhmgWR/P4jDJEh23TarTotQcZV6AS2hojwR4ieAmN/nuMbGCMARg0dWYXehxqTNfncai+OMpCH8QUE3p2S91qX+KYcTSPzXap/nU4qN0Q+tqo0arzULjV4joDsQeqjTm9zgZLuFv0FnSa1pnJ3N611visDp6Ez8GikwCLEELU0+QlQllZWbSRtC0AjBgxgm3btoVtv/vuuykvL6/52bt3byv27ihhSYDUfqHbzLGqbHJEXOj2uI7B+RcyhtQGbTZ/wci0kWgIPdNpavYk4rS1lQd0y2dzXtczwnb1wq5nkui0h20nNgtGXhe+ffhVDee06Nf4ZMvi8B3N43Ng6hD0mtAx6uPTjyPOFHfwg0Qmqyn6YT/k/Eb1pUdCT4za0DdYI1KHEbenziyyzV+ppND1bfwMBpwX/kMGXQTLZwdu02ih45hG9VEcXY7msdkuRSaHzx8Wl60CpMOvCm7buxy6hMmfoTOA3siJqcMBWLJ3CdM7TQ/bhUv7XEqsKbapPReHoLXGZ/UMFoMu9Hc4k16L0+PD52s79wVCCHGkNTnA8swzz3DXXXexa9euFuhO0/3xxx+kpYW/YTaZTMTExAT8iHoik+GsV4OflusMcN6bKmhx3lvBZZCNUXDeG8Ff6qJS1fE0GvD7SNryHQ+MuDvoYzOiMrhp8I1YTDEw4R9qY8U+sqvKmdkj+MZyUGJ/TsycgLZgA/Q6Ofj36HUqpPRSbR2PC24ffjUk9YShl0NKn+D2KQ9AdAPLh0SzO5rHZ1JEIo+Ovj8oeJhqSeXvw24nKqIR0+R1Bhh+JaT2D26b+E819hoh2ZLCE2MfRqsJPKUnmhO5d/AtxKycW7uxYh9odNDvnMCD7FymbrQyhgV/wKjr1DKDuvmWNBo44yW1xEAcc47msdkuRaeFuU5HwrlvQkSsGts9TwpsX/UWHP939f66NFo4/UX47TVSN33DzX0uI68qD4fXweTsyUEfPyFzAsM6hDh3iBbRWuOzZgZLuCVCB7Y7PDKLRQghqjWqilB8fHxArpWqqio8Hg8WiwWDIXAafElJmFweIVit1prZJ4MHD+app55i4sSJJCQkkJ2dzd13382+fft48803ARXc6dy5M3379sXhcDBnzhyef/55vvnmGyZPDr7ghyKVEACPS93Y1c2f4/dD+V7Y8b1KBJvSF3qfom7w9EbweqA8B7Z8BftXq3wN3adCbCZoQ0wJdlWpG7l1C6BkF1WjryPPaOKLHZ+TZy9iQvpYBiYPIjkqDZ/Xjd7vVWUi17wH9lLKjruV/T4bn23/HKvHxsmdptE1uiPJK+aBo1SVjXVUwNr/qr4PvAASu6svkWhUXpiizfDnf9UXzoEXQXxH9RRPowFrIeStgQ2fqJKzAy+AmAz1ZVSjA22TY4+iGRxt49PmKCPPls/XO74kx5bPuLSRDEoZQlpsx6YdqCIX8tfB+gUq0DnwwoCZY26fG71GH5zzyuNS4xNwOCvIq8pn4e6F7K7cx+gOwxiWOow0UzyU7YE188FeDH3OUBWKvC6VLLpwoxpDyb1UgFGD2rb+E7Xcb8D5Km+R36fyK21eqMqd9z9HjRlTw8uTxLHhaBubxzSfB9AEX3tDXqdPUOcSrU5V2CvfB+V71LURYMgMNcPFUQ5562Drt5DQCfqdrc5FripY9RYVCZ3IS+vDZ3sXMyB5ILGmWL7e9TV+v59Tu55Kx5iOJEYEV5kJ2X2/D5/fh17b5FXqIoyWGp8/bSvi4jnLeeb8QaTGmIPaV+4q4clvt/D7PVNIjDKFOIIQQrQ/jbq6PfPMMy3y4StXrmTixNqpqbfddhsAM2fOZN68eeTm5rJnz56adpfLxe23386+ffuwWCwMGDCA7777LuAYogFle2Hbt7D1G4jNhqEzD0wdjlZBh7hs9WVryIzg9+r06kvXqAaW39RljISkHjBBVSeKBLoCNyX2AqCiMo+9tlxeXPsypa4KTsgYx/AOw+kw7VEA4g789EkZFHjcE/4V+LrjaPW/lfmwf5V6GqfVqd8hKgUSu6kAi9GiEnuu/QCMMTD8CsgcBj2mqfeX58DmL1XVhMhU1R7fSS2REiIMizmOLuY4/prQ8+A7NyQmTf10PyFg837rfpblLOOn/T+REZnB2T3OJt2SSqS1SP0t718FaYNgwHmYI5Po5PHwF6cBNEng8IJfo3IOed1qZllEvLo58/vUE2pnBWxfol5HpaqAic6g2pK6g9aggi86k5rB4vdDcnfQH0h67ZfqEUK0msp8yF8Lv7+pHgIMvVyVWa6eRRbuOl2+Xz3AWPUGuKww4EKY+ii4K2HPcvjpGTDFqiWJw2aqf6/9EHL/gLSBMOhCYuKyiNEZub1DbUGBEWkjmtT9cmc5OZU5/Hfzfyl1ljK141SGdRhGh8gwS5vEEdfYGSx2ycMihBA1GjWD5VjSbp/CFW2FudPVzI66TntePalqKDFsM6uozOXdLf/lP+vmBGzPiMrgtSmzyYjt1LQDVubCh1fB7h8Dt3efqgIosZnw7f1QuCmwfcQ1MP4ucFXC3JPUjJu6pjwIwy4Hczv6OznC2u34DGFn+U5mfjWTUmdpwPaHR/+LqX9+TsS6BbUbe52ilsZ9+tfAZJUR8XDh+/D+xaqMebWrl6jSrFu/CfzQ7DFw0uMwu94Su6GXQ2KX4CpDJz8JAy6QWSztgIzNI6wyDz66GnYtC9ze40Q47bnwS/XK98OPT8KKOtdbrQ4uWQBf3qG+G9Q18lr1YGHpY7XbdEa49BPIHn3IszsrnBW8s/EdXlzzYsD2zKhMXpv2GulRsjz3cLTU+PxybS5/fWcVr84YRpQp+JnslvxK7v/fer677Xi6pYRP/C6EEO1Jk6+UOp2OgoKCoO3FxcXodJI9vk2yl8OXfw8OrgB8djNYg///2ZIKnKVBwRWAfdZ9vPrnKzjtZU074LbFwcEVqJ2ps+P74OAKwG+vqKd6y54MDq4AfHef+lIrRCurcFbw0K8PBQVXAO7/9SGKh1wSuHHIpfDZTcGVQOyl8O29KlBYLXsMlOwMDq4A7PkZclaqfEZ1/T5XLTMw1fvi/uUdgXlZhBAtY/v3wcEVUMuB9oUvGU9FTmBwBaD7NJXUun5wBVQi6w79oW61IK8LPrwMrLmH0nMA8m35QcEVgBxrDnPWzsHZUKVCccQcvIrQgRksLpnNKIQQ1ZocYAk34cXpdGI0HqRMoDgy7CWwc0noNr8P9v4Wuq2FfLf727Btn+1aSImzrPEHqyqG314O3+51qKnO4ax6U92EhrN1YeP7IkQzKXOWsSJvRcg2r9/Luqqc2gS40Wlq+Z/XHfpge5eraf7Vhl2hlgqEs+pNGHxx8PYtX0OXCYHb/H7Y/XP4YwkhDp/tINe55S+DszJ02x/vBW/rdRKs+yj88bYtgk5jA7dZC0I/pGmkbxu47n+67dOQwWRx5B20itCBwIvN5Wm1PgkhRFvX6Axjzz33HAAajYY5c+YQFVU7Jdzr9bJs2TJ69erV/D0Uh8/nDX6yXZerqvX6Atg94cssu3wu/DThSYjfB+4GyjajgYaejLmsoZP01rS37n8bIUAFURpi9zhqktuiM4DH0fABfXXGlFbf8P5um9onaLu9tvx6XS5rw58thDg8fh80cN3EbVPX+XBt9emMDV833Ta1T33hgriNYPOE6Ef1x/ncYR/eiSPL4fZi1GmDE6wfIDlYhBAiWKNnsDz99NM8/fTT+P1+Zs+eXfP66aefZvbs2dhsNmbPnt2SfRWHyhyjEuGFU50otpVMzAqflHh0h5FE6yxh24NEJEDfM8O3+4FuU8K3Dzi/4USd9ZKOCtEaog3RdI7pHLZ9YFx3KN2tXpTnqITS4SR0gao6ywC3LlQVwsLpdTLs/CF4e9dJoWe7dRoX/lhCiMNnToC+Z4Vv739++ITsfc8I3rbn14avi10mqKWCdRkiIPLQS7KHKu1cbUz6GKIMksepLXK4fWET3AKYDOoBld0lARYhhKjW6ADLzp072blzJ+PHj2fNmjU1r3fu3MnmzZtZuHAhI0eObMm+ikMVlQInPx16psbAi1T1kFaUFZXO2A7BfysmnYk7htxCdHQTKgrodDD4ktC/Q3znAxWFLg3OHQGQPgTSBsDxd4R+WtfjRFVZSYhWlmRJ4t7R96LVBJ+iz+56Okk7lh0o1YoKEO5cCkMvCz6QRguT7oXfXq3dtuY96DpZVcmqL7oD9D8Xfnk+cHvaQDVGyvcGbu93tirhLIRoOTodDLxAjc/64jtBz+mqEmAoKX0gY0jgtj//C8OvBGOIoEbmcDVTpX5upSkPHtZ3hezobEaljQrabtKZuH3Y7USbJEFqW1Q9gyUcs756iZAEWIQQolqjlwhVW7IkTC4P0balD4ZrvofFj8LeX1XQZext0G0SWBJatSuJMVk8NPp+Fu3+jje3fkCFq4IxqSO4duBfyI7MbPoB47Lhym9Vcr51H4JGBwMvhJ4nwWc3QFQazPgUVrymEgIaI2HYlTDgPJW/IiIR/rIMvv+3ulG1JMDoG9ST/Mjk5v8PIEQj9E/qz/yT5/PC6hdYU7SGpIgkrup/FWNShhFTsAl2/6ZmplgS1dPo5J5qNskvL4DTCgmdYeI/1E3RkJmqHLMxEvQWMETCpR/DitfVmPF7oc/pqoKI3gyDZ8Cmz1Siy+FXqqCLo0KNid0/q3Ex9mZVqauVzx9CtEtx2XDFNyrfyroPVPB04EWqGl5MWvj3xXeEc9+ENe/D+o9Uwtr0oRDbUX0n+OFp2PoVGKNh0EVqplrFfsgcAcVb1Qy4Sfeo7xAG0yF3PzEikUePe5Rvd3/L2xvfpsJVwdj0sfxlwF/IjpEHGW2V09PwDBadVoNWAzZZIiSEEDUaVab5tttua/QBn3rqqcPqUEtr96UmHRUH8o4YIOogwYOyPVCZr/43oQtExIK1UD3FTu4NBrNKfFexTz1Fi0wK/VQ8FK8Hv72MYlcZXvxE6yOxeNxQvlvlPUnsrnJMlOxQa8WTuoPWCCXb1NO1pB7qJq+6PKyrCuxlYDuQhM9yoM1lVV9ELcngc6mEthqdem/9cpNOKzgr1KyXVp7VI5RjZny67FC5T1XrcVnVeLEkhC+l6qhQZZSLtqggSHxniOoAegNWl5UqTxV6jZ7EiES1v7VALQ0q2wtxmaoUeVSq+ryK/SrwktBFLaEzxUJVPpTuUokwk3uBKVqNV1vJgcSVfrAkgSVefb7bfmCsaA+MlQOz35yV6kerD/+7iGPSMTM227LKPKjIVWM4LlM9AKg/zjwulfTW51bXrKKtKpiKX10vo1JVeXZrobrG20rU+SCxq1oyW74XErupMe73gzkOnOUqv1JEgsrPpDOpJUEeuwq4NmMQ1e/3U+woxuvzEm2MxmJowpJgEVZLjc9//W89izbl8/jZA8Puc+UbK7hlSneuOb5rs32uEEIczRo1g2X16tUBr1etWoXH46Fnz54AbNmyBZ1Ox9ChQ5u/h6J5mWPUz8EUb4cPZkLeWnUjduYr8PE16gYwfTCc9jy8fbYqc1wtYwic/Zq6sWuIxw37VqB570KSHGVqucKA8+CL22sTZmo0MOhitTThy7+pG73hV0JMJnx3v7rhm/hPGHq52nf1O2p79bIJnRFOfQZ6n6ZuJgF0EepLYzimqNqAjRCHylEBu36ABdcE/j0PuwqOu0UFQ+qqKoSlj8OKV2uTUZui4by3oOMYooxRRNWdyl+6G967AAo21G7rPlU9ZX73fKisU0q18wQ48d8w75Ta4COoZXVjbobZY9UTbVBBkxMeVOMuIi70WDFF144nIUTzKdkB75wLxdtqt3UYCBe8HbhUVW9UwZWlj6mlPufOhYX/UOecatFpcME78NnNqopYta6T1FLC2WPVLLXuU2HOxNrzjjEKznsTOh0HehMQ3+y/pkajISkiqdmPK1qG09PwEiEAs14nZZqFEKKORuVgWbJkSc3Pqaeeyvjx48nJyWHVqlWsWrWKvXv3MnHiRE4++eSW7q9oDRX74dPrVXAFYOwt8N2/VHAF4MTHVfClbnAFYN8qFQwp39/w8Sv3wVtngqNM3XiOulZ9Xt1qJH4/rH4b3A4VZPH7VB4JU7R6EufzwqIHIfcPKNwC3/yzNrgC6qbxk7+qQJEQraliH/x3RvDf84pXYfvi4P03fw2/vRJY6ctZCe+co2ap1FVVDB9dGRhcARWgfOecwOAKwM7v4cenoMfUwO2r34Zt30K/c2u3+TzqRq3+sYUQLctaAPMvCgyuAOStUddGW50Sxl4vbPxcjeEB58H6TwKDK6DOA+9doB5K1LV9MWz9Vj14WPmaWgKU2q+23WWFd88LPu+Idsvh9mE4SIDFZNBKmWYhhKij0Uluqz355JPMmjWL+PjaJxvx8fE8/PDDPPnkk83aOXGE2Ephzy+1r5O6Q96f6t86owpuhAtcbF+kAicN2fF9bZnYzBEqp4MvzMV55Wsqn0q13+cGvl76BOSvC/9Zv7548BK2QjSntR+E/3v+6Vm15K5aZT788H+h9/V5YONngdtshZCzInCbOU6NSWsBIa3/WCVsru+X/8DQmcHbl/2fWnoghGgdVYVQsDF0285lgbPPynarPEsAPabDhk9Cv89acGAJUL3qQms/UAEWgJWvB15PQZ13Nvyvyb+CODY53N4Gc7AAmPRaSXIrhBB1NDnAUlFRQWFhYdD2wsJCKisrm6VT4gir++Rdo1FrtatFJqsvg+H4/YHvD6Voa+DxGnpaVp4TmGg26PVelVMlnNKd4HY23B8hmovPp6b6h1OeExh88XmCK/PUVbAp8LWrKnifiHiVuyEcrxuVfKGein1gDJH/oHxP4JgXQrQse1nD7QHXVL8au6Bmdnrd4d9nzVfnh7o8jtqKQ/Wvp9VkFps44GBVhECVapYAixBC1GpygOXMM8/k8ssvZ8GCBeTk5JCTk8NHH33ElVdeyVlnndUSfRStLSKuNqml36+SXlarzA3OIVGXzhj8xKy+rDolmkt2QIf+4fdN7Rd4w1r/dfqghj8rc0Tom0ghWoJWG/j3XV+HfippZDW9GVIb+PvvPC7wtTkuuByrNb/h5NLm2NA3Yal9VQLM+tKHSi4iIVpTQwmjtTo17mte69XYBTWuTQ3kVIvvFFxu2ZJQG0Ctfz2t1vn4xvRatAN2tw9Do2awyBIhIYSo1uQAy+zZsznxxBO56KKL6NixIx07duSiiy5i+vTpvPjiiy3RR9HaLMnQ/7za17t+VCWPQT0xs5dCpzBfwAZfCpaDVBfJGALRHdS/CzaoigbhqhSMvh5Wv1X7euRf4I931L81Whh/J2SPrA0I1aU3w7DLVXUEIVpLtxOCnxpXm3gPxKTXvo5MhBMeCL2vJSE4wBJZb2wCuG1qVlndXAp1Db8a/nw/ePuEf8AP9ZZ1anUqEW9DyaCFEM0rMin0Mj5QyWjrBmDiO6oE76DG9fCrQr+vQ3+1TKj+bLQRf4E176l/17++gjp3dRnf9N9BHJMaM4PFrJcZLEIIUVeTAywWi4UXX3yR4uJiVq9ezerVqykpKeHFF18kMjLy4AcQbV9kwoEKPZepGSm/vqTWaQ+8UD09W3A1nPQ49DmjNrChN8OIa1VC3MiDVB6IzYTLvqh90v/dv1T1ofTBdfqQDCc/BXt+VTkrotPg9BdVToqqIojNgos/goSuqqTtJR9DXMfa9yd1h5mfQ2xHhGhVCV1gxv9UcuZqUSlw1quhgyDpg+Hs1wOn6qcPhsu/DqweAqoC2AkPwtAragOHOgMUbYPz31JVQapnuBgjVQBy0IWBORwik1QVsKQetUsNQD3tvvQTNZ6EEK0nIh5Oebr2Ggvq2jviWphwd+AsUoC0QWoM7/tdPawYc1PtPhoNdD8BzpoDO5fWng9M0TDuDrVfwQY47QU1u81TZwltuPOOaLfsrsblYKlyygwWIYSopvH7/SEW5x+7KioqiI2Npby8nJiYRpQrbs/sFVCVr56A6c1qmrKjVCXANMWoL2zOsgOvo8GSBPYS9YXNYIG4rIZnj1gL1GwYrwtMseqpub1UlaA0x6nXVYUqT0VEPOhM6kbR5wVLvAq61FWZp5Y8aLTq6X9D065Fm3RMjc/yHJVbwetSf7+xWaDTh97X51PL7xxl6sYqIkHNbvEeyNHiqlJlUyNTICJWjbnKXFVtyBStbrJM0aoCmKNczWoxxdRuL92l3uN1qpuqqAwwRag+OioAv9o/Lqv1/vuIo8oxNTbbKleVui66qtS4jUoJnk1WVaTOE4ZINc6r9/V71Vg2RqnrrrNCbfe61X7GaBW8cVnV9VlnUNdaNAfaDywL9LrUOSgqWe0njgotNT7HP7GEfumxXDIq/MOq137cyb4yG1/dLEvLhBACIMy3/UBnnXUW8+bNIyYm5qB5VhYsWNAsHRNHmLUQVr0BPz+nbtiMkWpq8ahrIbmnCmb89Bz8/roKwETEw6i/qpu3r/4OlkQYdzv0PQNiMoKPX7pblYTd/KVadhTXEU58DDoeB+bo2v3qLx2KTAzf5+gOtUuPhDjSYjMbzldUl1YLsRnqp1rFftjyNXw/S9106QzQ92yYcBds+hyWPqYCLMYoNfaGXArLnoQ176qbpMhkmHSPqhhSP0eLzwv56+Gzm2urEqUNglOfgZR+oJdldUK0OmMkJISZQeZxQ8E6+OwWSO4BXSbCsidUDhWNVlUUmjZLLflZPlsFUkwxahnQgAvgq7+p0ux+PyR2VTNEM4erz7SVwOavYNEDKmeLzgD9z4eJ/wg8J4l2x+n2HXQGS4RBS5VTlggJIUS1RgVYYmNj0RyYZhobe5AEpuLo57KpcrK/PF9nWxX8+JT68jX5fvjqzsDykPZSWPIIjL5BLR3a8IkKoHjdMPI6MJhq963YD2+erir8VCvbDe9dADM+hS4TWvb3E6Kt83rUDc8Xt9XZ5oY/50PxVpj6iAqugLqRWva4mo1itKjgCqjZX5/drAKYQ2YG5ikq2wOvTQ2sTpL7B7w+Da79SS2xE0K0HWW74PXpaolfz1vgg8tq2/w+ldvp+1nqHFHNWaG2VexXDx+qJywXb4e3zoArv4P0Iepc8+lfa9/ndcMfb0PRFrjgHZkN2o41pkyz2aCTJLdCCFFHowIsc+fODflvcYyqKoDfZoduW/OeCqLUDa7UtfI1OPOV2vYfn4bep6hEttXy1gYGV+pa+A+49FM1PVmI9qp8j7oxCmXf7+qGypIItuLa7X/OhwvfgxVzAvdf/JDKzVI9m8brUU+5Q5VT9zjh1xdh+qzAakdCiCPH41Dj0uOAITPUzNL6up8A710Y+v1/vAPnvw2r3qzd5vfDt/fBmS/Don+Ffl/ObypwKwGWdsvh9mJqRIBFZrAIIUStJie5ff3119m5M8zNsTg22EtDl3UFNZ24bHf497rt6uavmqOs9kl7tZ3Lwr8/fz147OHbhWgPnFY1AyWcvD/Vkp66/D5wO4L3tZWoGWjVXFaV/DKcXT+CozJ8uxCidTkq1bgElZx636rAdo0m+Npbl88TmMy2Ws4Ktd1aEP6z8/48tD6Lo57f78fhOfgSIbNBh93txedrVykdhRAirCYHWGbNmkW3bt3Izs7m0ksvZc6cOWzbtq0l+iaOlIZKtLrtKgFnQ/TG2n9rtMHHa6hCQUR8bRUFIdorvbnhcRCdFlgBqOZ9xuBtWp1KEF2zjwmi04P3qxbVQe0jhGgb9CY1LkElso2sN8PT7z/4mA11bohKVdfohpLR108mL9oNp0cF7A5aptmg2m1umcUihBBwCAGWrVu3smfPHmbNmoXFYuH//u//6NmzJ5mZmVxyySUt0UfR2ixJgSWT64rvqKYLh0ve2XFM4NO17lMhIilwn+4nhL95HHkdRKY2vc9CHEsik1Uuo1BM0SpJZeGmwO3JPVVulfp6nx645M4QoZb5hXPcraoctBCibTDHqHEJsPYDlVOpvrK9anZLKB36q1Lu9Y29WQVQ+p0T+n2maEjpc2h9Fkc9u0sFTEx6XYP7mQ2qXUo1CyGE0uQAC0BGRgYXX3wxTz/9NM8++yyXXnop+fn5zJ8//+BvFm1fZBKc/Zqq7FNXdAe44D1V5eCi/6r96krsCuPuqM0BkdJH5XKIqrdfdLo6Tv0nbt2mwtCZoGv4Yi7EMc8SD5PvDV4GZIqGC+fD6ncCt8ekqzG74rXA7R0GwNSH1NK+upJ7wOR/qaUFdR13K6QNbI7fQAjRnNIHqfG56wdI6aUeVNT1ywtw9hx1LqgrNgtO/4+qLFRX37Ohz+lgjIBJ96pkt3WZouGSBTKDpR1zeFSA5WBLhCwHAixWCbAIIQQAGr/f36RFk9988w3ff/8933//PatXr6Z3796MHz+eCRMmcPzxxxMfH99SfW0WFRUVxMbGUl5eTkxMO3hK63GqMss6g1p+0xQV+6F4GxRuVklqk3qAOQ7cVeqGzV4KhVtUwtqU3mq6cfE29dNhgFoKFN8x9LE9TlXqOfcPlSMiYxjEpAUHbUS70i7Gp88H9hL1b0tibZDD7VAJpjV6iD1wk1S2RyWZ3L9alTvv0E/dMNmKVSWQoi0HxmY3tYSgYh8UbFTvqR6D0WFmhDkq1eftXa7KNmePgsgUiJBKcSJYuxibh8tZqZbRGiODg5qHy1aiktw6rSr5bGJXtZRw32oVkE0fDFFpYCuqvQ4n9VD7RSSo6+2+31Ufs0aoByaWOst9rQXqfJP7p7oWp/ZVD0N0smT3aNAS43NHoZVJTy7l3lP60Cct/DF3FVdx94K1fHr9WAZmxTXLZwshxNGsyVfO6dOnk5yczO23386XX35JXFxcC3RLHDavRyWjXT4bti9SN3Jjb4Ws4cHrt0NxHUiy+ce76n8j4mDYlbD/U1g5B5L7wPG3Q9ZI6Dap9n2JXYFpBz++3qSCL+ECMEIci8r3qQpbq99Wr4fMgD5nqvH2++uw9RswRsPwK6HT8RCfrYIkHccEHicmXf10Hhe4PS674RxHdZmj1U9i18P+tYRo1xzlKrC57P+gdAd0GAjjboeELqp0+uGozIPtS9S13G2DnidDr5Nh9ZvQYRD0OTWwyk9shvrpMj7wOAmd1E84USnqJ3PY4fVXHDPs7uolQg3PYImQJUJCCBGgyQGWp556imXLlvH444/z7LPP1sxemTBhAj16hFn/K1pf0RZ4bUpt9ZDi7TD/QrV2e8r9KuASjs+rvtD991KVPK/a2g9h2iMQ3wk2fQabP4dz31Bf+OQplxANK98Hb50ORVtrt333L0jtBx/MUE+oq326CrpNgVOegbis1u6pEKKx3HZ1bfzittptxdtVIPWi/6pxXH8pXmNV5sOCv8DO72u3FW2BNe+o8srvngcrX4NLPgxeGiTEYXI0McBSKQEWIYQADiEHyy233MKCBQsoKiri66+/ZsyYMXz99df069ePzMwwiU9F67KXwVd/DyzNWm3VG1CR2/D7K3Phs5sCgyvVljwKQy9X//b74bObwZp32F0W4pjm98OmLwKDKwD9zobf5wYGV6pt+07dqAkh2i5rASy8O3i73wf/u0FdTw9VwYbA4Erdz1z3EfQ6FQrWw44Q+whxmGyuRgZYjAdysDgkwCKEEHCISW79fj+rVq3i22+/ZeHChSxZsgSfz0dyciOWnoiW5yhXifDC2fZdw++3FYe+4QMVtPF5VWlHUHlYqooOrZ9CtBf2EvjjneDtXcbD5i/Dv2/dhy3XJyHE4Svbo3KKhVKZF/5aejA+X+1SwlA2fQFdJqh/r3pTXfeFaEbVVYSMB6kiZNBpMeg0VDrcrdEtIYRo85q8ruPUU0/lp59+oqKigoEDBzJhwgSuvvpqjj/+eMnH0pZoNKFnoED4Esl139tguxaoc+xDnf4sRLuhAW2IeLbfB5oGvrwebKwKIY4szUGeUx3q9VGjAW1D5wYd+L21/0auw6J5NTYHC0CkUU+lzGARQgjgEAIsvXr14i9/+Qvjxo0jNlaqTbRJEfGq5PHWhaHbu01p+P2WJFURyJof3GaOVV/qqoM3USlqfyFEeJYEGHoF7FsVuH3rt9DnNJVMOpQB57V834QQhy4uCwwWlYA2qC07sFJPU2g0MPQy+PP90O19zlDnD1AJ6M1S2Uk0r+ocLAcr0wxgMeqkTLMQQhzQ5CVCTzzxBKeccooEV9oycwxMezh0WebjblXlGRsSnQZnvhL89FyjgRMegt9eUa+1OjjjZbW/EKJh3SZD+pDAbRv/B4MuUSWY6+t3duMrAgkhjoyoDnDaC8EzVXQGOGP24V0fE7tB3zODt8d1hB7T1UOU7NHQcfShf4YQYdhcXgw6DdpGzMKKMOqokCVCQggBHMIMFnGUSOwO1yyFtR+oL2GWZBhzAyT3UiWXG6LRQPYouO5nVR3BVgTmOPXELGcFeN0w7CoYeQ3EdQq99EEIESgmHS54F/b8Art/AjTQ6Th1E3XZ57DxM5VXwRQFw69W1YViJXG4EG2a3gg9psFffoBfXoTirZAxFIZfpQIhhyMqBU5+Ws1k+ek5cFdB7zMgtQ+seA3Ofh2yR8pDDtEibC5vTYWgg7EY9VTIEiEhhACOcIBl2bJlPPHEE/z+++/k5uby8ccfc8YZZzT4nu+//57bbruN9evXk5WVxT333MNll13WKv1tc6wFULpbJa2NTIGuE6F8jyqxbImH7tNh+JUw4mrQGcEQ0fhjG8xq2nOH/pD7B6T0VcccfCn0Pxf0JrWEaOOnULgZMoao4E3+WshbB5kjoEPf2ifzbruqprB9ifrfzsdDUo+Dz6YRorWV71eVOfYuh/jO0GksRGeA3hC8r8cJFfth5zIo3wsdx6pxYIpSCS63LARnpVqWF98R8KljFm0GtGqb3wsJXWD0jTDwQvXku3r2WcV+KNgEe35Ws1k6H69upqwFarlR3p/QoZ+6oYvNknxIQhwJpih1rTz1GXA7wGhR47iu8n1QuR82fwVaA/Q6WQVQ3HbIWwt7V0BiZ+g0Ts2KsRXCjmVQkaMCsac9B6YYNUPVWQnJPdU5Zs1/1TmqqghyVqpzSudxEJ2ugj9CHCK7y4up0QEWHRV2mcEihBBwhAMsVVVVDBw4kCuuuIKzzjrroPvv3LmTk08+mWuvvZZ33nmHRYsWcdVVV5GWlsa0adNaocdtSGUeLPiLKuGo1cO1P8KCq2Df77X7fPcvOOVZ6H2Kyp3SFAWb4I2TAysEmWNh5ufqyXruanjjNHBZa9ujO8DpL6pS0MueUDeEM/6nbgi3L4b/XqoqEIFqT+kLF/9XntKLtqNkJ7x5OpTtrt2mN8MlCyBrJOjqnDI9Ltj5A8y/QM3qAuAJOP4OlZfo67tq9136b+gyUbXNO7l2+/ePwpCZMP7vahxEpdS2le2GN8+Akh2123RGNQtmxRzY8nXt9oh4NTY79GuO/wpCiEOhN6mf+sr2wjf3woaPa7ct/TeMuQkik+Hbe2u3d5sKQ2fCBzPBd2BGwLInVOD24g8PBFis8OHlkL8ezp0HH10FpTsD+3Hxh5A1OnRgWIhGsLm8jUpwC2oGS5E1TDUtIYRoZ47o2o4TTzyRhx9+mDPPDLHGOITZs2fTuXNnnnzySXr37s0NN9zAOeecw9NPP93CPW1jfD5Y874KrgAc/zdY9VZgcAVUItrPb4bKEMlqG2ItUF/u6pdfdpTD/AvVjd+75wcGV0AFfRY/DCOuUa/L9sDnt6qZLv+dURtcqVawHpY+oZ7gCXGk2cvg89sCgysAHge8d4GaeVVXZS68f1Gd4AoqAJIxLDC4Um3HEvWTXS9fwqo31KyvupyVsPCfgcEVAK9LBSqHXFqv76Xw/sVqDAoh2pbdPwUGV6r9/BzEZgTmSxt+hQqe+OottyjcpK6vTiv8Pk8tNRxyKfz6n8DgCqiZde9dANZ65ywhmsDu9jQ6wBJp0lEuM1iEEAJoZICloqKi0T8t6ZdffmHKlMAKONOmTeOXX34J+x6n09mqfWwV1nxY/mLt6x7TYPVboff1+1Vuh6awFasvc6GU56jAS1Vh6Pb9qyClT+3rHUvU/vW/LFb7873gQI5oN9rU+LQVw47FoducFVC8LXDb/lXqRqauzuNqK3uE8sd7Knltfb+9DLaS2tdVRSofSyhuuwqa1l9eV7or/LgUoona1Ng8mlXsh+Uvh29ftwB6nqT+Hd9ZBVW9rtD7rv8IrHnqfAHQcYyaHRqKq0ot3xXHpNYYn2oGS+OWCEWa9LJESAghDmhUgCUuLo74+PgGf6r3aUl5eXmkpqYGbEtNTaWiogK7PfQsiFmzZhEbG1vzk5WV1aJ9bB0+9cS6mkanbgDDCVVuuSEeR8Pt7ipVQSgcb72LrKeBGSoeJ/jkotxetanx6T3I9Oa6ARAIHRg0RgeOzfrsJWCMDH3suuPO5wa/r4HjlIIxKnj7wcauEI3Upsbm0czrPsg5obT2nGCKanhfr1v9OMrUa59XPUQJx1bc5O6Ko0NrjM+mLBGKNOqpcLjx+Rr4exRCiHaiUTlYlixZ0tL9aDF33303t912W83rioqKo/+LojFKJcLb9p16bc2DzGEqwV0o3U9o2vEjElTeiVA3a1qdyqkS7ubPFB34OjIJLInhPyupR+gbRdEutKnxaYpVf6/hZlSl9g18nTk8eJ+8P2HktbB+QehjZI9RCS3r6zJB5W2pZoxSCaIr9oU+TkovlVS3Lq1eVQsTohm0qbF5NLMkqCS09ZfxVOs4Gnb9pP5dskMlyw0noYs6N2SPUcuOXFaISg3/EKWhY4mjWmuMT5vLg8nQuABLlEmPzw9Wl4cYs+T9EUK0b40KsIwfP76l+9EoHTp0ID8/8ItEfn4+MTExRESErpBjMpkwmUIknTuamWNhyr9gx/dq6c2SR+GEh+DN04IDH8m9IKV3044fnQrj7oAlDwe3jfiLCpgMnqFyR9Q3+nr4453a11MeVBWOMobDvhXB+5/4WGBiT9GutKnxGZ0GJzwMn1wb3Nb7tOC/05gM6Dwedi6t3VayQ+0X3zn4hkqrh1HXwYKrA7eb42DwJYEVP6LTYPoslbuovi4ToWhb8PKk0TdAlARYRPNoU2PzaGaKhjE3wvqP1bKduiKTVMW9Zf+nXruqVFA1axTs/TX4WNNnQVwWTH0Y5kyGlXNh3G3w1Z3B+/Y4Uar0HcNaY3xWOb3ERTQuWBJlVrcTZVVuCbAIIdq9Q05ya7PZ2LRpE3/++WfAT0saPXo0ixYtCtj27bffMnr06DDvOIYldocrv1Ffzvavhr2/waWfQNog1a43q5LKF86H+E5NO7beDMMuh9Oeh5h0tS0qBaY/Bsfdpr4UTrpHBU+qZ6fEZsEpz4DOBFu/UU/aznsLep0EkYlw/psw6vraqdApfWDGp6r/QrQFWi30PBHOf1v9/YIKfky4G076P/Ukuq6oZDjzZRh7S+3MraQeEJGoxuLAi1XSW1AViK78Vo3FjKGqnLJGC92nweVfQkLXwGNrNNB5Alz0PiR1V9tMMTDudjUuIxJqb56iUlX/xtwQevmREOLIiu8Ml3+lZqqBmgna62S47Eu1zCe+s9oeEQ/2cjjrZRhzc+3szuReqpJZ9lj1OqU3XLFQvbd0F5z6HCQeOIeYY+H4v6uS0Q3NHhXiIKqcHsyNLNMcfSDAUmoLkz9ICCHaEY3f39AC3mCFhYVcfvnlfPXVVyHbvV5vyO2hWK1Wtm1TiSMHDx7MU089xcSJE0lISCA7O5u7776bffv28eabbwKqTHO/fv24/vrrueKKK1i8eDE33XQTX3zxRaPLNFdUVBAbG0t5eTkxMTGN7mubZStRFUc0WrU8wF4ELpv6AheVErxkpyn8flWVxOtUN4pRHdRNaDWfV01N9rpUUMaSrJYr+dygj1AzYeryuKCqQL3PaFHlKYWoo82Mz8p8lTtIa1ABDF0Dk/28blV5y+cGg6V2povLDrYiNavMFF0boLEWgrNc/dscpwKWDbHmg9uhZsBEpYDOEDw2o9NUUEaIFtJmxubRrLJA5UvToIKk1eeE0t1qLGsNamac3njgvJKvrpeGiNAzPauK1TIhvUmdE6qPcbBzljjmtMT4PO6xxQztGM8Fw7MPum+x1ckN761m7uXDmdhTZiULIdq3Jl+Bb7nlFsrKyli+fDkTJkzg448/Jj8/n4cffpgnn3yyScdauXIlEydOrHldvZ505syZzJs3j9zcXPbs2VPT3rlzZ7744gtuvfVWnn32WTIzM5kzZ06jgyvHJEtC4JN1Y2bzHVujgZi08O1aXe0Ml2qxGeH31xshthn7J0RLqR8cbIjOEPrv3hgBxhBr4qOSm7aUJypEXw42NoUQbU90ivqpL75j8Dad4eDXy8hE9SNEC7A5PZgbWUUo+sCyoNIqmcEihBBNDrAsXryYTz/9lGHDhqHVaunYsSMnnHACMTExzJo1i5NPPrnRx5owYQINTaCZN29eyPesXr26qd0WQgghhBBCNILN5W10klujXkuEQUeJBFiEEKLpOViqqqpISVFPYOLj4yksLASgf//+rFq1qnl7J4QQQgghhGg1Hq8Ph8fX6BwsALERBoolwFLLWgjf3gf/nQkrX1fL/oQQ7UKTAyw9e/Zk8+bNAAwcOJCXX36Zffv2MXv2bNLSZMq6EEIIIYQQRyubW+VTjGhCgCXarKeo0nnwHduD8hx4ZbwKrBRvgy9uh7knqrxJQohjXpOXCN18883k5uYCcP/99zN9+nTeeecdjEZjyCU9QgghhBBCiKNDldMD0KQZLDERBoqsEmDB54OPrlYzVk59XiWyL9wEix+Gt05XFcUOpwCFEKLNa3KA5ZJLLqn599ChQ9m9ezebNm0iOzubpKSDVMMQQgghhBBCtFm1AZbGT3SPizCQV+FoqS4dPTZ8Ant+hqkP11YJTO4FJzwEC++CBdfA+e8EVuUUQhxTmjy6H3zwQWw2W81ri8XCkCFDiIyM5MEHH2zWzgkhhBBCCCFaj9XZ9CVCcRYDBe19iZDfD8uegPShkDYosC2hMxx3O2z+En79zxHpnhCidTQ5wPLAAw9gtVqDtttsNh544IFm6ZQQQgghhBCi9R3KEqE4i5FiqxOP19dS3Wr7dv8EBRug35mh27NGQN+z4LsHIG9t6/ZNCNFqmhxg8fv9aDSaoO1r1qwhISGhWTolhBBCCCGEaH3WAwGWCGPjAywJFiM+PxRZ23EloVVvQkwGdBgYfp/Bl0JsJnx8rVQWEuIY1egAS3x8PAkJCWg0Gnr06EFCQkLNT2xsLCeccALnnXdeS/ZVCCGEEEII0YKsjgMBlibMYEmIMgKQW25vkT61eS4bbPwMukyEEA+ia+gMMPZmKNgIv7zQev0TQrSaRie5feaZZ/D7/VxxxRU88MADxMbG1rQZjUY6derE6NGjW6STQgghhBBCiJZndXrQ6zQYdI2f6J4UZQJgf5mDwdkt1bM2bOs34LZB5+MPvm9iN+h1Cix9DPqfB7EZLd8/IUSraXSAZebMmQB07tyZsWPHotc3uQCREEIIIYQQog2zOj1YmjB7BSDSqCPCoGNfme3gOx+LNn0OCV0gJr1x+w+6CHYuhcUPwZmzW7ZvQohW1eQcLOPHj2f37t3cc889XHjhhRQUFADw1VdfsX79+mbvoBBCCCGEEKJ1VDo8WIxNe5Cq0WhIjjaxt6QdLhHyumHLN5A1svHvMUbCwAtgzXwo2NRyfRNCtLomB1iWLl1K//79Wb58OQsWLKipKLRmzRruv//+Zu+gEEIIIYQQonVUOtxNSnBbLTXGxK7iqhboURu39zdwlkPm8Ka9r/s0iEpWpZ2FEMeMJgdY7rrrLh5++GG+/fZbjEZjzfZJkybx66+/NmvnhBBCCCGEEK1HzWA5lACLmZ1F7TDAsu1biIhXuVWaQmdQZZvXL4DSXS3SNSFE62tygGXt2rWceWZwffeUlBSKioqapVNCCCGEEEKI1md1uDE3MQcLQHpsBPtK7Tjc3hboVRu27TtIGwSaJt9WQbcpYIyC315t9m4JIY6MJp8J4uLiyM3NDdq+evVqMjIkC7YQQgghhBBHqwpH05PcAmTGR+AHthVYm79TbZW1EPLWQvqQQ3u/3qyCLKvfAnc7zF8jxDGoyQGWCy64gDvvvJO8vDw0Gg0+n4+ffvqJO+64gxkzZrREH4UQQgghhBCtoNzuJtLU9GqhWQkWNMCG/RXN36m2audS9b9pAw/9GD2mgaMcNn3RPH0SQhxRTQ6wPProo/Tq1YusrCysVit9+vTh+OOPZ8yYMdxzzz0t0UchhBBCCCFEK6h0eLCYmj6DxWzQkRkfwZqcsubvVFu1YwnEdwJLwqEfIyYDUvvCH+82W7eEEEdOk8PTRqORV199lXvvvZd169ZhtVoZPHgw3bt3b4n+CSGEEEIIIVpJpcONxdD0GSwA3VKi+W1nSTP3qI3y+2H7EsgYdvjH6jwBls9WS46ikg//eEKII+YQsjEp2dnZnHjiiZx77rkSXBFCCCGEEOIo5/X5qXJ5D2kGC0C/jBi2FljZV9YO8omU7ICKfYe3PKhaxzHqfzd+evjHEkIcUYcUYHnttdfo168fZrMZs9lMv379mDNnTnP3TQghhBBCCNFKKuxuAKKMhzaDZVBWHEadlo9X5TRnt9qmnUtBo4PUfod/LHMspA2ADf87/GMJIY6oJp8977vvPp566iluvPFGRo8eDcAvv/zCrbfeyp49e3jwwQebvZNCCCGEEEKIllV+IMASeYgzWCxGPcf3SGb20h10S4liTLckYsyG5uxi27FjKST1AKOleY6XNQpWvAr2MoiIa55jCiFaXZMDLC+99BKvvvoqF154Yc220047jQEDBnDjjTdKgEUIIYQQQoijUFlNgOXQZrAAXDA8i31lNq59exXRZj1vXDGCIdnxzdXFtsHng53LoPsJzXfMrJGw/CXYvgj6nd18xxVCtKomnz3dbjfDhgUncxo6dCgej6dZOiUOTZnNRZHVxaa8CmLMBrokR5IabcagP+RUO0II0Ww8Xh/5FQ52FFVRbnfTMzWa5GgTcRbjke6aaONKqpwUVjrZkm8lKcpIdmIkaTFmtFrNke6aEMeU8mYIsESa9Nx7ch8KKp38Z8k27vzwT7659Xg0mmNovOavBXsJpA1qvmNGJkF8F9iyUAIsQhzFmnz2vPTSS3nppZd46qmnAra/8sorXHzxxc3WMdE0hZUOHvliI5/8sb9mW6RRxyszhjG8UzxG/aFN9RRCiObg8nhZtaeMq95YidVZG4w/ZUAa95/ah+Ro8xHsnWjL8isc3Pnhn3y/pbBmW5zFwLzLR9A/IxadBFmEaDZlNhcAUYcRYAHQaDSkxpg5f3gWD3+xkVV7Shna8TBKGbc125eA3gzJvZr3uBlDYNt3aoaMVh6QCnE0Oqwkt1dddRVXXXUV/fv359VXX0Wr1XLbbbfV/IjW4fP5+WT1/oDgCkCVy8vlc1eQW+44Qj0TQgglr9zBzNd/CwiuAHz+Zy7/XZmD1+s7Qj0TbZnT7eXlpdsDgisAZTY3l8xZTm55O6hUIkQrKre70es0mJpp9nPvtBhiIwx8t7GgWY7XZmxfDB36g66Z88tkDAFbMeT92bzHFUK0miaHp9etW8eQIUMA2L59OwBJSUkkJSWxbt26mv2OqWmAbVyh1cnLy7aHbHN5fXy/pZCZoyNbuVdCCFHr5+3FOD2hgyhzftjBWUMySIuNaOVeibauyOrkvd/2hmyzOj1s2F9BZnwzJZgUQlBa5SbGZGi27/FajYY+aTH8sr24WY7XJriqYM8vMGRm8x87ubeaGbNjCaQPavbDu7wuiu3FRBojiTHGNPvxhRCHEGBZsmRJS/RDHAaP10+R1RW2fWdhVSv2Rgghgu0qDn8eKrW58Xj9rdgbcbRweX3Y3d6w7XtKbK3YGyGOfaU2F5Hm5l1W3iM1ind/24PL48N4LOQF3PkDeF2QMbT5j60zqLLPO5bCcbc222G3lG7hhdUv8OO+H3H7VJ6dzKhMpneezvk9z6dDZIdm+ywh2rtj4CwnTAYt3VOiwraP6nIMrXkVQhyVhjWw9r5LUiRmg+SJEsEiDDpSok1h2/tnxrZib4Q49pXZXESbmnfZS5fkKNxeP1sLKpv1uEfM1oUQkw4xGS1z/LQBaoaMx9ksh/t468ec//n5bCzZyNndz+a2obdxzYBr6BrXlXc3vsuJC05k1vJZlDnKmuXzhGjvJMByDEiKMvHPk3uHbEuNMTEgM651OySEEPX0zYghPTZ0Itu7T+pNcgM30aL9So0xc8e0niHbuiZH0ilRlr8K0ZxKqlxEmQ8vwW19WQeW8W3KPQYCLH4/bP5azV5pqXQIHQaCxwE5Kw/7UJ9s+4T7fr6PseljeWDMA0ztNJV+Sf0YlTaKmX1n8sT4Jzi96+l8vO1jTv74ZD7Y8gE+v+REE+JwSIDlGDEkO57nLhgUcJMyuksC718zmvQ4yWsghDiy0mIjeO+aUYztmlizLSnKyFPnDWRE5/gj2DPRlmk0Gk7ok8rDZ/QjzmI4sA0m90rhjStGkBoj1aeEaE4lVS6iD7OCUH0RRjUTbcuxMINl/2qo3A9Zo1ruMxI6gykadv1wWIdZV7SOB355gOMzjmdGnxkYtMEzkyL0EZzc5WRmHTeL/kn9efCXB5nx1Qy2lm49rM8Woj1r3jPoIfrPf/7DE088QV5eHgMHDuT5559nxIgRIfedN28el19+ecA2k8mEw9G+K+XERBg4ZUA6wzsnUGH3YNRribcYcHi8bM2vxKjXkhhpavanEkKI9s3t9VJQ4cTm8mI26EiONoVd7tMxMZIXLx5Cic2Ny+MjxqwnNcaMVsrsigbEW4xcODyLSb1SqHR4MOo1GHVaHG4ve0tspMSYMOlliZkQzaG4ykW3BpadH6q0WDPbC6zNftxWt+FTMMeqPCktRaOFlD6w68dDPoTT6+SuZXeRFZXFJX0uOWjS4hhTDFf2v5LjMo7jrQ1vce5n5zKj7wyuHXAtFoMkEheiKY743fb777/PbbfdxuzZsxk5ciTPPPMM06ZNY/PmzaSkpIR8T0xMDJs3b655LRWLFK1WQ1psBGmxqszekk0FPPLlRgornWg1MKV3Kvee0oesBDlRCiEOX5HVyVu/7GbODzuocnkx6bVcMCKLv07oFnZmQazFSKzF2Mo9FUc7nU5LelwEhZVO3v51F3N+2FnzN3fRyGyuG9+VFJnNIsRhK61yEW1u5tLDqFmMm/OP8hksPh+s+1DNXtG2cFA3tR+sfkvlYdE3fQnta2tfY591H/8a8y/02sbf7vVM6Mn9Y+7n651f886Gd/h8++fcNOQmTu1yKrqW/p2FOEYc8SVCTz31FFdffTWXX345ffr0Yfbs2VgsFl5//fWw79FoNHTo0KHmJzU1tRV7fHT4eVsRt7z/B4WVKkGWzw/fbMhnxuu/kVfevmf7CCEOn93l4eWl23l20VaqXKrKi9Pj442fd/PAZ+spt7uPcA/Fscbu9jB76XaeXbQt4G9u7k+7eOiLDVTI35wQh8Xm8uDw+IiJaIkAi5m9JTa8vqO4Ytyen6E8B7pMaPnP6tBfVSra93uT35pXlcfr615naqeppEelN/n9Bq2BU7ueysPHPUzHmI7c+9O9nPW/s/hixxc1FYiEEOEd0QCLy+Xi999/Z8qUKTXbtFotU6ZM4Zdffgn7PqvVSseOHcnKyuL0009n/fr1rdHdo0ZBhYNZX20K2bazqIrthcfAFE0hxBFVaHXxxs+7Q7Z9uTaPYmvzVD8QolphhZM3f9kVsu2zNbkUyd+cEIel2OoCIKYFlpOnxJjx+PzsL7M3+7Fbze9vQHR6yy4PqhbfGYyRsPvnJr/15T9fxqg1cnKXkw+rC0kRSfx10F+5Z+Q9RBoiueuHu5j+4XSeX/0828u24/cfxcEyIVrQEV0iVFRUhNfrDZqBkpqayqZNoQMEPXv25PXXX2fAgAGUl5fzf//3f4wZM4b169eTmZkZtL/T6cTprP3SVVFR0by/RBtkd3vZU2IL2/777lLGdktqxR4JEVp7HJ/HinK7G5c3fKWB/AoHXZKbfx2/aB1tcWyW2924veG/0BdUOuVvTrQLLTU+i6tUgCW2BWawpMaoZS57S2xH51L1yjzY8AkMuqTlqgfVpdVBcu8mB1j2W/fzybZPOLPbmUTom6fIRZe4Ltw69Fb2VOxhyd4lvLXhLV758xUyojIYlTaKgckDGZA8gM6xndFqjvjiCCGOuCOeg6WpRo8ezejRo2tejxkzht69e/Pyyy/z0EMPBe0/a9YsHnjggdbs4hFn0GmJNOpqplDXlxkvVYVE29Aex+exwhImkW21lphiLlpPWxybFmPDX1liWiBvhBBtUUuNz+qZhy1x/k6OMqHVwO4SG2Oa/eit4KfnQGeAHtNa7zNT+8C6BeD1gK5xt2xvrH8Ds87MxKyJzd6d7JhsZvadyUW9LmJDyQbWFq5lee5yFmxdgB8/0YZohqQO4fjM45nacSpx5rhm74MQR4MjGmZMSkpCp9ORn58fsD0/P58OHTo06hgGg4HBgwezbdu2kO1333035eXlNT979+497H63dcnRRmaM7hSyzaTXMrxTQut2SIgw2uP4PFYkRhkZ1il0eeWOiRaSo5qelE+0HW1xbCZEGhnaMfTfXOekSJKiJXmyaB9aanxWL7OLboElQnqdloRIIzml4WdYt1klO2DFq9D7dLVsp7Wk9AWXFfLXNmr3cmc5C7YuYFL2JMz6lkv6bdAZGJg8kEv6XMKDYx/k+UnPc8ewO5jccTJ5VXk8svwRJn8wmYd+eYgie1GL9UOItuqIBliMRiNDhw5l0aJFNdt8Ph+LFi0KmKXSEK/Xy9q1a0lLSwvZbjKZiImJCfg51hl0Oi4b24nx3ZMDtluMOt64YgQdpNKCaCPa4/g8VsRZjDx93iC6JAV+2ewQY+a1mcOlostRri2OzfhII0+fP5DO9f7m0mLNzJkxjJRo+ZsT7UNLjc8iq4sYsx69tmVuD5KjTOwtOcpysHjd8PG1EJEA/c5q3c9O6gE6I+wOn5eyrg+2fIDX72VS1qQW7lggi8FCn8Q+nNb1NO4ccSdPjX+KU7ueylc7v+LUj0/l8x2ft2p/hDjSjvgSodtuu42ZM2cybNgwRowYwTPPPENVVRWXX345ADNmzCAjI4NZs2b9f3v3Hd9U2fYB/Je90703tLSllBYoGywKgogIooiiggwnKIoICiouBPQVBwKKKDhA5EFBVFAQZckus0A3UCgt3SNJs+/3j9pA2qR0pem4vp8Pz2NOTs65kp77Pudc5x4AgLfffhv9+vVDeHg4SktL8cEHH+Dy5cuYPn26M79Gq6EzmlCmMUDA4+LTh+NRpNahSG2AiM+Ft0IET7kIfJ79E2dBhRYqnRFiPg9+rrfuSlReaYDWaIJUwIOcmmcT0qEEuUvxw5P9cLWkElmFKgS7SRHiIYWvS1XdkV+hhVZvgkIsgJusca0LDCYzSjUGcDiAh0wIzn9937UGE8orDeDzOHCX3WgtU6LWo0JngETAh5eiZVrRVNe71U9oSeMUq3UwmhhcpUII+VXnKbXOgPwKHXgcDryVIoj5PHw/vQ+KVXqczy1HsLsMYZ4y+LqI/9uGHkaTGS5SAUR8mlKUkIYoqNDBReq4azlPhQhX2lILFqOuKrmSkwSMeA9wYKsQm3gCwCsSuHwA6P9snasazUZsTNmIvn59oRQ5NyGuFCkxqtMoJAYmYkPKBry6/1WkFqfixV4v0hgtpENweoJlwoQJKCgowBtvvIG8vDzEx8fjjz/+sAx8m52dDe5NmfSSkhI88cQTyMvLg5ubG3r16oWDBw+ia9euzvoKrYLJzHClWIOvDmThn9QC9Al1w9RBnfDtoUs4mFkEN6kQUwaEom8ndwS41R5crLBCiysllVjxTwZS8ioQ4CrBU4mdEOWrgL9r7fVLNVUXt5/uTsfVkkp09VPi+aER6OQlu2U/eUJI++GjFMNHKbbqunG9rBJnr5Xji72ZyC3TIsZfiWeHhCPMU9agvv1XSzT44egV/HbmGoQ8Lh7tF4KR3Xyh1hmxel8W9mcUwk0qxFO3dUKvEDdcL9dixZ4MXMitqsOeTuyMrn5K+Lg45qK4Zr3rIhFg+uAwDAr3arHkTnuQX67F/vRCfHXgIip0BtwR6Y1nhnSGRm/Ct4cu4++UfEgEPNzfKwDBHjJ8vT8LD/QKgpjPw9oDWXjitk5gjOHIxSJ8uf8iyioNGBLphemDOiHIXQoetwUGpCSkHShQ6eDiwIdlXgoRUvIqHLb9ZsMYcHEv8MerQGE6cNtcwNtJ9xneMUD6zqqY6hhcd++VvbiuuY6n455uweDqJhfK8UTsEwhzCcO6c+tQaazEgr4LLA9KCGmvOKyDzbFVXl4OFxcXlJWVtYomz80lI1+FsSv+hUpnhKdciKX3d8eMDSegNVjP8jG6ux8WjIq2PGEGqrpZ7U4pwFPfJ6Hm0TBneBc83CcIHvIbNyiVeiM2HM3GO79dsFqXwwHWTErAHVHeVHmSRmmv5bMjKVHr8PW/l7D8b+txsbgcYM3kBNwR5WPnk9aulmhw38qDKKi4MVOGu0yITx+Kx/Rvj9eu2+L8EOGtwLJdaVbLX7qzCx7rHwJXafO3LMnIr8CYz/6tNaD48K4+WDwuFh7taBwaR5XNQpUOczefwd8p+ZZlMiEfPz87AA9/eRjF/81qUq1XiBvu7xmI+VvO4r4eAfBViuEiFSDpcjF2nc+3Wlcm5OGXmQMR7q1otngJaY2aq3yO//wghHweZt4e3ozR3fBPaj5W78tC6rt3td4WZrmngR2vANkHAa8ooN+zgHsn58Vz7RSw6zXg2SOAd5Td1ab/OR1F2iLM7zu/5WJrgH1X92HduXV4Nu5ZPBP/jLPDIcShqJ1WO6DSGvH+HylQ6YwAgAm9g/HFvqxaNyAA8OuZXFwv11ktu1Kixeu/JNdKrgDAJ7vTUaoxWi0rUOmxZEftabQZA175+Syul2ub8G0IIW1ZkVqPFf/UHnTczIA3fjmHK8XqW27DYDLhu0OXrZIrAPBQ7yCs+CfTdt12OhdRvgqIBdantU92p6NIpa+1flOptEYs/SPF5mxtO89fR3ZxG2oG70SXizRWyRUAeGl4BNbsz6qVXAGApMslEPA48FGKsOVkDvp2ckeIu7RWcgUA1HoTluxIQYXW4LD4CWlP8it0cHXgDHDVg59fK22l14lJ64Av7wAqrgF3vA6M/MC5yRWgKsnD5QGX/7W7yuXyyziSdwRDgoa0XFwNdFvgbbgv/D6sPL0Suy/vvvUHCGnDKMHSDpRrDfjrwo2ZmLoFKHH0YrHd9f9Jtb4QLa3U10q6VDOYGLIKVVbLrhZrYDDZbvhUUKFDiYYuZgnpqFLzKmC20y7yakklyiqNtt+8SbHagF9PX6u1PDbQBYeyiux+7vjlEnT1s356azTXrsOaQ7nWgN0Xat/UV/sjOa/Z99ke/Xam9t85PtgNuy5ct7F2lT2pBZbZ8ApVOhy9ZP9893dKPsq1tz7mCCFAfrkObg5o7Vetuutkq5xJ6Mwm4NdZQMRwYNRHQFDfOrvktBiBGPCIqDPBsjltM2QCGRJ8ElowsIa7p9M96OXTCwv+XYAcVY6zwyHEYSjB0g5wgFp9zOvqci7g1Vy37hOIoMaguDxe3evfanuEkParZn1RU33qBw4HNgfjZqx2XXczPpcDk43szq1iaqy6YqkepJXUTWjz78wgqGMWEz7vxt+Zy+HUOeMJj8sBnZEIuTWVzohKgwmuDhzk1kMmBAdATkkrm0moKBPY9hzQeSjQ95mqwWVbE58Y4NIB2GpqrjfpsTVjKwb4D4CQ17oHWedwOJgSMwUSvgTz98+HyVy7BSgh7QFdAbYDrjIB7o3zt7w+klWMxC7edtevOQaCi0SAUI/aA9kCgETAQ7C79XsBrhJIBLb7zga7S+HmwJMzIaR1C/eW27xpBoAuPnK4SG89CLaHTISHegfVWn4oswi3R3rZ+ESVXiFuOHet3GqZWMBFiJ36rSncatS7Nd0d69fs+2yPRtv4DfenF+LeePu/39AobxzMrGrJ5CETok+Ym911R3f3d+gNIyHtRXX3bkdew1XPtHa1NSVYGAN+nw1I3KqSK63xIaFPLKC6XpUIquHv7L9RqitFYmCiEwJrOKlAimndpuFE/glsTN3o7HAIcQhKsLQDEgEfs4Z1gY+yqunlT0lX8fiAEJvThT6T2AmecuvlIR4yLL2/O0Q1nrhyOMC7Y7vVWt9bIcKHD8bVOgeJ+Fx8NCEe3soWnsaOENJqeClEeGdsTK3lEgEPi8fFIsDGrGQ18bgc3NczABE+cqvlW07m4KnbOsPDVt02pDMOZhbCeFMLFg4HWDQ2Ft4OmNGnut61te2pA8Pg56CZi9qbAFcJJvUPsVr22d/pmNA72GZi7K5uvrhWpkVZpQHPDumM38/mIelyCaYMDK21rrdChBeGRdDMdoTUgyXB4uCp5j0VIuSUtqIES9aeqn8J06q647RGPl0BDq9qZqMaNqVuQhe3LvCX20/4tzaR7pG4Peh2fHLiE+SpqTstaX9oFqF2JKdEg38zCpF2XQUfpQiJkd74OyUfe1ML4C4T4LH+oQjzkNmcslSjMyCnVItNx6/gbE4Zgt2leLRfCPxdxPBU2Fhfb0R2sQY7z+WhQmuEl1yEO2N8EegqgYCaxpNGas/lsyMpUeuQXVKJ7w5dxtUSDeKCXDG+VxCC3MQQCep/s5tbVonDWUXYnHQVIj4PkweEoJu/CyoNJvx57jr+On8dnnIhHh8YhlAPCUo0Bvx47CrO5pQiyE2KSf1DEOQmhasDbxhySjTYnZKPHWfz4CoTYMqAUIR7K2wmuNsyR5bNYpUO6fkqpOdXAODAXSrAwAhPVOpN+CclH7+eyYVUyMP4hEBo9WbsScvH/T0DUVZpQFahGnfF+MJVKsSlQjW+PngRpWoD7urmi2HRPghwk9xy/4S0dc1RPrecvIoXfzyNtY/3hthOK+Xm8Nk/GdAZTNj8zACH7aNB1t4NqAuAuz9sna1Xqm2fA3hHA+PXWRZdKruE0VtH44nYJ9Dfv7/zYmsEjUGD1/59Db19e2PZkGXODoeQZkWPdZyoVKNHbpkWfyTnwWgyY1hXHyjEfPxy6hoYA0Z080Ggq9TyNKFQpcPlIg12nc+DVMDHiG6+8HURwUVS9b6Ax0WQuxTp+SqYzFWtHodHe6FnkCsEfA5cJAKIBLZPHlKRABE+Asy5swvKdUZIhTzIRPabiQp5XMiEfPgoxSivVCHATQIRn0vJFUJQNQDq9TItdp7LQ7nWiKHRPgjzlMLLRrLSWUo1euSUVuLP5DyYGMOIGF8EukngLmt6aw+5SAAPqQmT+odAbzRDJuRBKuRBozfjUlEFdp3PQ6FKj8QuXgj3liPI3XarFj8XCe7rEYgRXX3B5QLi/5IzV4o16B6ghIdMCLGQCxcxHzwuB+HeCrw8vAtUeiMkQh4kDUjmNFaAmxSP9QvBuJ4BEPC4rXfq0VaMAXCRClCo0iPSRwFvpRhf7suCyQwM6+qNhSFu0OhM8HERQcTnoV8nd5zILsXJ7FJE+iogEfDgLhPCSyFC9yAXGExmyIR8cFrzzRIhrUxemQ4yIc+hyRWgaiahw3UMVt6irp2qGjw28ZXWnVwBAN84IGMXYDYD/4079b+0/0EukLf6wW1tkQqkGN9lPL48+yUO5x5GP79+zg6JkGZDCRYnKVbrsXx3OtYevGRZtmJPJoZFe+OOKG/M35KMz/7JwIMJgZh3VxRMZoaXN5/B3rQCy/rL/krD83eEY+qgMFQaTHjy2+M4m3Nj/IElf6TglZFRSM2rwJaTOeBwgP97IA7Dor3hYmeUeJGQD69bNKc2mxnOXC3DI2uOoNJwY4AqT7kQG5/sj3BveR2fJqR9K680YOOxK3hv+wXLsi/2ZaFvmDs+fbgHfFpBF7oilQ4f/ZWO7w9ftixb8U8mxsT547V7ulpmemgMo8mME9klmPT1UeiMN6ZTfndMDLhcDhZsvTEl/LqDlxDlq8Dqx3oh2ENmd5tS0Y066XKRGk98exxp12/MDMThAEvv747hXb3hKhXB3cE3CDVxOBzI60hIE/uKVDr8cuoa3v7tPObdFYm/LlzHTyduzC6xam8mRsT4YmC4B+5bdQ4vDe+CSr0JK/fcGItAKuRh4xP9EBvoAhGfR0kuQhrherkW7nLHt7zzVohwvVwLndHk/LJ6/CtA5gUEt4HWH35xwNkfgevJgF93aI1abM3YikEBgyBobYPy1lM/v37Yc2UPlh5dis2jN4PHpbqbtA/U3MBJ0q5XWCVXqv11IR86oxmdvapuNjYdv4qLRWrsPH/dKrlS7dO/M3C5SIP1h7OtkivVluxIwb1x/uByqlq0vLz5NPJVtqdkrq+8ci2mf3vcKrkCAIUqPWZtPIliddO2T0hbllNaaZVcqXbkYjG2nMiB2d4cxi0oJa/CKrlS7ZfT15B0uaRJ275eocP0b45bJVf4XKBHiJtVcuXmWFbvz4JGd+vp3Su0Bqz8J8MquQJU1W2v/HQGBRX6JsVOWl5+hQ5v/3YeXgoRvJViq+RKtT/P5YEDDoLdpfhwZxrig1whFty4fNHoTZj+7XHLGBKEkIbLLat06BTN1bwUIjC0gpmEdCrg7GYg/E6gLdzYe0cDfDGQ+TcAYMfFHSjXl7eZwW1t4XA4eCjqIWSUZuDnjJ+dHQ4hzYYSLE6gNRjx9YGLdt/fcjIHI2+agSK7SFPn+t8fvoycEo3d949cLEJ8UNUsC2YG7E8rbETUN+SVaVGstn0jc+5aOYpUdJNDOq7/Hb9i9721By+ioIkJzqbS6I34cn+W3fdX78tCWeWtkx32XC5So0JntFp2b3wA/k7JtzXDJADgp6Qc5NcjOVKo0mPrqWs23zMzYI+NJDRp3X49XfX3HN7VB7/a+dsCVefFu2N9AVQ9iBgU7mn1fn6FDgUVlNwnpLFySrU2BxBvbtUTMmQX279ubREpvwEGDRA+1Llx1BdPAPjGAhl/gTGGDSkbEOsZCx+Zz60/24qFuYShn18/fHbyM2gMTj4mCGkmlGBxAoOJobSOG5iySgNkwhvZdB6XU+cNT5FaD56daVGrtye9aXvFmqYlQNQ1bp5q0pvMdb5PSHvFGENhHQmUskoDzE4eV9xgYii/Rf1jaEIZrtDWrh/cJEKU2knKAkClwVSv38VkZlYtY2qi1nNtT3WyXirko1xb93FZPRtQudZgc2YgTY1WlYSQ+sstq2yRwbk9ZCLwuRznJ1hO/wj4dAPkbShB4d8TyD6MU1cPIKU4BcOChzk7omYxLmIcKvQVWHdunbNDIaRZUILFCeQiPoZ3tV+h9+vkgbM5ZZbXfC4HgyI87a4/sptvnd0OEkLckZpXYXk9sLP9bdVHkLvU7lhgChEfrpK22ReUkKbicDhWrc9qGhTuCYWTx+pQiPgYFm2//hka7Q0XSeOH5+rsVXsMpn/S8jGwjjosLtAFknqMmyIV8hDjb3+GjMERXvULkrQad0R5AwCSc8rQJ8zd7nr9O7kj+b/zYt+wG/9djcflwLcVjG9ESFukM5pQpNLDQ978U9rXxOVy4K0U4VKhExMsqoKqKY/D2lj3msDegNmAE4c+hL/MHzGeMc6OqFl4SjwxNHgo1p1bh8LKprWyJ6Q1oASLE3A4HNzVzRdeNk5kchEfo2L9sPPcdQCAq1SAuEBXPHdHBEQ2ZugJcJVgYLgnJg8IBY9bO+sR7aeAiTFLt4QeQa4Icm/atJUeMiEe6Rts872X74qEN13kkg4sPsgVYZ61B2wV8riYMzwScrFzxxbncjm4N87fZlNwpZiPR/oGQ8BrfH90L7kQ9/cMsFqWVaCGm1RoMznC5QCv3h0NP9db10v+rhLMvzvaZoI3LtAFwXZmIyKtV5SvEl185DiUVYS+YR52j8vhMb7YnZKPYHcpvBQiZBWqrdaZMiAUni1wc0hIe5RXVjV+ka3rUkfwUYhxqUh96xUd5cK2qv8PaSVTRdeXwhcGpT88s49ieOhwcDnt5zZuVKdR4HK4+Pz0584OhZAmaz8ls40JdJNi8zP9MSbeH3wuB1wOMDTKG18/noClf6SAAbg71hdbnh2AADcJQj2k2DZzIAZHeILDqbpZezAhED8+1Q/+rhJE+irw0zMD0CukaqwVqZCHKQND8fo9XfHub+chF/ExbVAolk/sgUC3pt2EKCQCvDC0C968N8Yy20iIhxQrH+mJe+P8IaijuxIh7Z2fiwTfT+uDR/sGW5Ki/Tu5Y8uMAejkZX+mnJYU6C7FT88MwOjufpb6Z0SML7Y8OxBBTawfXKRCvDIyGgvujrbcLHfylKFca8SqR3vh8QGhli6Q8UGu+OHJfujqZ79VSk0x/gpsmN4P3QNdAFQlpacODMVnE3s2uW4jLS/YQ4o1kxLwaN9gLN2Rgo8mxGNkN1/LcTks2hufTeyJ9/9IwYSEIHw/rQ/4XA4C3aoScj5KERaN7YZnhnSGTEQTIxLSGNUDznq0wCxCAODrIkZWgerWKzrKua2AX3dA7OK8GBrpnESGIRot+vv2cXYozUomkOHusLuxOW0zssuznR0OIU3CYczJAwK0sPLycri4uKCsrAxKZf0v6puDwWDC1bJKlGgMMJoYPOVCuMn4qNQzMAAyIRclGoNlkFhPuQgCHge5ZVpwORz4uYhgMDFUGszgcAC5iAeD0Yz8Cj34PA78XMRQ64wo1hgg5HHhJhOAsaonExIBDy5SAXgc4FqZFlIhH+5SAfQmhhKNHjIRHzIhD1qDGUVqHZRiARRiPlQ6I8oqDVCKBXCTCa2mmDWbGQoqdDCYzRDyuRDyuMiv0EGtM8JNJoSHTAiFmLoLkfpzZvlsbjqjCcUqPcyMQS7mw0XSMheutlwv16JIpYPeaIaHXAQvhQgcAPnlWmiNZjAAYgEXXnIRjCYz8lV6FKn0EPA4cJMKEeQmRpHagHJtVf0kFfKglAgQ4iFDeaUBhSodyioNUIgF8JAL4SYVIrtYg4pKA1T/1QcKER9+rhJcK9VArasac0XE58FVyodcKEBOWSWK1XoYzVV1Y3V3j7xyHQpVOvC5HLjLhAhwkcBgNiP3v8G2RXwuvBQi+LrYbwFTotajSK1DhdYIV6kAHjIRlHa6MjLGkFeuRZFKD5OZwUMuhLdCBKGzpxN1sqaUTbXOiEKVDsXqqmPHQy6Cp1yEa6UalKgNkAi54HO5KNUYIBPxwOFwUPLfWGFuUiEq9SYYzAxKMR9qrRHgVLVqMZnNMJgBb4UYbjJhrePcUy6ExMZYLYS0N009d246fgVzN5/BN1P6QGijtXRz23X+Or45eAkX3rmrRfZnRV0E/F8E0PdpIHJky+67ia5r8rH67zl4vagYKaM/QEVAD2eH1Kz0Jj3mH5iPPr598EHiB84Oh5BGoyuPFlJRqcepq2WYvem0ZaYDqZCHeXdFYXhXbwj5XOxPL8JrW5MtA9q6SASYf3cU9qcXVt1AKMX4ZHc6NHoTZt4RDj6Xg8/3ZkJrMGP99D74/vBlfLn/omUQyCB3Cd68NwYf/pmG87nl6OQpw8cPxWPV3kyMiQvAP6n5+PX0NVQP39ItQIm5I6Lw5rZkfP5oAl7bmox/Um/MytGvkzuW3t8dIR5VT+G5XA58XKpugrKL1Ji24bhl7BguB7ivRwDm3RVFXYZIhyTi8+rV7cWRTGaG89fK8cz6JFz97wmliM/F2sd7o0JrxCs/n0GJpqq+UYr5eGdsN4gFXLyw8bRlGnYfpQj/e6o/vtx/ET8czYbxvwojyleBzx/thfe2X8DO89ct++wb5oYl93fHgp/P4mBWMQCAwwHu6e6HF4d1wbRvjuPif907hDwupg4MxYO9gzD+80Mo+m/AU7mIj9WP9cSlIg0W/X4Ban1VLF5yEZZNiMOVYg0WbjsHg6kqllAPKb54rBe6+CjAqdF/6GqJBi/8eArHL5VYYrkrxhdv3htjlTAGAL3JhFPZpZix4aRVPf3aqK64p7svlE5MkrVVBRU6fLo7DRuOXoHpv2NnQCcPvD02BrM2nsLgcA8M7+aH5384iYd7B6Oztwyv/nzW6rh8eUQUTl4pwb8ZhXjz3his/fcSitV6LH+4B/53PBsVWiMe6x+KGRtO4Epx1XEu5HHx7O2dMal/aIsM3ElIW5ZTUgk3qaDFkh0BbhKYGEN2sRrh3ooW2adF6u8AMwPB/Vt2v81gS/oWFEpdodcwuGfubXcJFiFPiHs734t159bh8W6PI8ajfYwxQzoe6svRQnLLdZi27rjVNJIavQkLt51DRr4a10q1eH7jSavZgsoqDXjl57N4oFcgega7YfGOFGj0JoR5yhDgKsHHf6VDazBjTLw/LhdV4rN/Mq1m2LhSXIkXfjiFF+/sAgDIKlTj8bXH8Pqorjh6sRi/nLqRXAGA5JxyvPFLMj55uCeW/pFilVwBgMNZxZjzv9PILau0Wp5frsWUdcesBuY1M+CnEzlYuScTWprZgRCnuFZaiYdWH7IkV4CqBItczMcz65MsN7EAUK41YtbGU+CAA/5N4znNHhaBLSdz8N3hy5bkCgAM6OyBxTuskysAcORiCWb/eBq3dfG2LGMM+PV0LlbtybR0YwSqZhz7fF8W9qcX4o6oGwPUSoQ8FKkNmL8l2ZJcAYAClQ5T1x1DgKvEcrMOAJeKNHho9WFcK7WumwpVOjzzfZIluVIdy47kPCzZcaHWjGg5JVo8uuZorXp6/pazSM4pt/UTkzoYTCZ8f/gyvjucbfX3GtszAFPXHce5a+UYnxCMSV8dRXmlAYO7eOLZ9SdqHZev/5KMu2J8odGZ8MLGU3h2SGdkFqgw+eujeLRfKIbH+OLRNUcsyRWg6tj6+K90/J1ifXwSQmq7UqKxdPluCYH/PXxIzXNCN6Hz2wCfGEDi2vL7boKLZRdxJO8IBgQMQkVAPNwz94Jjsj/zWls10H8g/GX+WHZ8GTpYJwvSjlCCpQWYTCb8lHTV7vTFJ6+U4sv9WbBVjzAG/HwiB5k39VV9MCEQ6/69ZHn9WL8QrNyTYXPbFTojsgpUCPeumtmjWK2HWm/ETyeu2lz/UpEGGp0Rh7KKbL5/7FIJSmpMt3qtrBKZBbYHK/vhaLbVzQohpOUcyCi0SlAAwKyhEfjm4CXYm3hs0/ErGB3nb3ndM8QdX99U31QbEO5ZK7lS7eSVUkT41J5N6JdT12zOYLRqTyYe7hNieX1/zwB8f/iyzW0bTAx/pxbUmjGoRGOwSvICVa0nztpJjGw7nWs1pTZjDFtP5titpz/clYbSJk5x39Hkl+vw1YGLVstkQh6kAh6yizWYPigM+9MLoNIZ631c6oxmHMkqRkKIG/IrdMjIV8HMGMptTA8OAB/tSkd+uba5vxoh7cqVYk2LDXALAEqJAK5SAVLzWjhxrS2vmj2ojbVeMTEzvjv/HXyk3oj1ikVZQE/wdRVwyT7i7NCaHY/Lw/1d7sfRvKM4kHPA2eEQ0iiUYGkBap3JaprkmnhcDtKv28/iZ+SrwLup2bufi8TSxB4AJAKe1RPqmi4WquHncqMpvEprtGrpUlN2sQZuUvtNqm9+ugjA6qlhTTqjGWq97QtfQohjnblaWmuZn6vEbkIU+K++cL1RXxhMZquWddX0RrPNpHC1skpDrZnP9CYzzDY+lFeutVrXz0WCrLpiLFBZ1WnVzl+zvliv68baZGZQ3dSCRW8y48zVMrvrZxWoqDVeA1UazFa/MQC4y4W4+l9Lo24BLjifW/U3a8hxmVWoht9/Y+6kXa+AvI5xVnJKK+0mzQghVS4XaVq8O3ewu9RS/ltM2p+ASd/mZg/anf0XLpVfxp0hd4ILDvRKP1S6BsPrwnZnh+YQ8V7x6OLWBcuSlsFkpvMuaXsowdICZCIeIn3t9zE1mZnNp73Vwr3lVjcluWWVVtPAVhpMlhkVbAnzlCG37MaNhlzMtznlc7Vgd6llgEFb3KTWg0PWNe2ziM+FjAYZJMQpuge61lqWW1qJznXMZhTmKUNu6Y36QsDjwsXGgLBCPtfmdMnVXCSCWolcIY9rczp5X6UYOuONi6jcsso6Z1wK85Jb1WnVomtMA13XDQOPy4H8pllnhDyuZWYiWzp5ySEWdOyBbhtKIuBZ/cYAUKzSW7oHJOeUWWaQashx2clThrz/kmddfBRQ1ZHED3CV0Mx2hNRBazAhv0IHH2XLTnMe6iGrM6ntEBd+ATwjAZnXrddtJa6qrmJz2mb09OmJAHmAZXlpcF+4ZB+DqPyaE6NzDA6HgwmRE5BRmoGfM352djiENBhddbQAHo+HcT0DILRzkdczyBVPDO5k82aFwwHG9QxAJ68bCZhNx69i8oBQy+vvDl/Gs0PCbW5bIeKjs7ccGflVLWTcZULIhHzc3zPQ5vqhHlLIRHz07+Rh8/2EEDe41mjd4u8isXth/FDvoBbt10sIuWFQuKdlSuRqn+xOx6T+obCR5wAAPJgQhN/O3LhgO3G5GFMHhtZa72BGIYZ3rd3dB6iaftlWq7x74/2xy0a3oqeHdMIPR29My/jTiRw80jfY5rYFPA5uj/TCgYxCq+WuUgG6B7haLfNSiNAtwPaMGqPj/CzTSANVF3Rje/jbradn39mlVt1H6uatFGLaoFCrZWq9CRqDCcHuUqw5cBGDIjwhF/HrfVyK+Fz07eSOY5eK4aUQIcJbDi6HA6XYdiL/hWERtQYzJoTccLlIAwDwVbbsoOzhXnLkV+hqjZ3lMDoVkL6zTbVeURs1WHFyBVxFbkgMTLR6rzygB0xCKbzPbnVOcA4W5hKG/v79sfzEclTo7fcCIKQ1ogRLC/F3EWPN5ASrZINUyMOb93ZFJ285/JRifPJQvNWTYheJAIvvi8VPSVdxMrsEr9wVCamQh4uFauSWVWLW0HCIBVz8cuoaQj2kmHl7Z6uWKYFuEnz8cDyW7UwDUPUEcN2U3nj39/Po28kdY+L9rS5mY/yVeHtMN8zaeBJz74rCkC7WGf5+ndzx4YNx8K8xM4q3UoyvH+9tdSPD5VSNozDj9nB66kuIk/i7SrDxyX4IuKnM6oxmVOj0WPlIT6vWaEoxHx9PiAcAy+w8ALDsr3Tc1zMQj/ULsRr89mBmEV4dGV0rydI3zA0fTYjD3rR8y7LqWYRm3N4ZSZdvDDgr5HHx1G2dMDjcC3+n3BhUu1JvgodMiEVju1kliLzkInw1uTeulVZa1V2hHlL8+GQ/+Lta30h7ykX4/NFeVgPrcjjAyG6+eOWuaMhrTCMf4CbBd9P61KqnF93XDd0C7LduIbYJeDw82i8Uj/UNtmq5tOXEVXw9OQFd/ZTYknQV307tA4VYgAPphVgxsfZx+faYGPx5Lg8SIQ8fTYjHyj2Z6OQpx7dT++C7w5ew81wevp/e16o1pZDHxQvDIjDUxpg/hJAbLhZWJcNbugVLdcvtY5eKW2aHaX8ARh0QMrBl9tdEerMBK05+hjJ9GcaGj4GAa51EZnwhSkP6w+vC7+BXljonSAd7IOIBaIwarDq9ytmhENIgHNbBhmguLy+Hi4sLysrKoFTafrLZnHRGE4pVepgZoBDzUKTWo0RtgNHM4CkXwksuhOK/qT81OgOuV+hQqNKDg6qbAz6fg7xSLTgcDnyVIuiNZhSo9OBzOfBRCmEyA1qDGRxO1YWoSmdCoUoHkYBrGUclr0wLsYAHV6kAAh4HFVqjpXm81mBGiUYPmYgPmZAHrcGMIrUOSrEACjEfFTojyisNUIgFcJcJ63wSWKTSoUhVNYium1QID7kQCnHtrgWE2NPS5bOjyCvXokilg8FohodcBC+FCMxsRl65DsWaqvrJQyaEn4sYeqMZhWo9ilR6CHgcuEmFCHITo0htQFmlAcVqPaRCHpQSAUI8ZCirNKBIpUNZpQEKMR8eMhHcZEJkF6lRoTVCpTPCTSaEXMSHv6sElwpVKKs0QmswwVMugrtMAIVIgOsVWmj0JjAGSIRceMpFYIzheoUehRU68HkcuMuECHCRQG82o1ClR5FKB7GABw+5EN4K+3VTsVqPYrUOFVojXCQCeMpFUEoEMJjMKFTpYDIzSIU8uMtEMJsZrldoUaTSw2Rm/21bBCG/YyeKm1I21TojClU6y7EjE/Ih5HOgNTJUVBogEXLB4XBQVmmARMCDgMet6qbKADeZEJV6EwxmBqWYD7XWCHAAhZgPgMFo5sBDLoSbVIjr/x3nOqMZnnIRPOVCSKiLKukAmlI+V/yTgZX/ZODLSQm1prl3tJc3n8agcE8sub+743e2cSJQmA6MWub4fTWR1qTDZyc/Q1pJKsZHPoggue1W51y9Gp13L0ZB13twZcDTLRxly/g963dsydiCzaM3I8ItwtnhEFIvdOXhQDmllfj8nwxsSroKndGM/p3c8do9XdEtQGnzYl0qEiBMJECYp/XyQFcpjCYzMgtUeG97CvalF2BQZ088c3tnfLo7HYeziiHic3FfjwA8M6Qz+tbo3hPiIYNKa8CZq2V49/cLOJ9bDqWEj6kDwzCxTzBCPd2s1u8M++PB1MVDLoJHC45CTwipH1+lGL41kqMZ+ZVYtjMVO89fh5kx3BHljZdHREEk4GDhL+dwIKMQIj4X9/cMxIzbOyPATWpzTBMXicDmGC3BHra7DYZ61q5fsos1+HhXGn49cw1GM8PtkV54dWQ0OnnJEeYpsBpzCgD44CLYnY9gd2m9vr+7TAh3mXX3nrwyLb47fAnfHryMCp0RsQEueOOerojxV8LPRWIZRJU0nUzEh0zEh1LMxz+pBVi2Kw1XSyrh5yLGi3d2wdAob8u5IyNfhf/70/q4nNQ/FO//kYIoPyVm3h6OUE/bx5aPUkzdgQhpoMx8FfxdJS2eXAGA7gEu+DslH2YzA9de/8DmUFkKpO8CejzmuH00k6LKInx6ajnyVHm4P+IBu8kVADALZSjunAjv5K3I73oPdK72122rhocOx7/X/sU7h9/BurvWgcuhzhek9aOj1EFyyyrx2Joj+O5ItmWgx0NZxbhvxUGrGYDq61KRBmNW/Iu9aQVQiPmYOigMk78+isNZVU0rdUYzNh67gilrjyG7qPb2j14qwcQ1RywjtpdXGvHxX+mY+9MZFKloGmVCOpKLhWpM+OIQtifnwWhmMDPgrwv5GP/5QegMZhy9dKNe2XA0Gw9/eQS5Duonn1OiwfjPD+LnkzkwmBgYA/5OKcCYFf8iu1jjkH0WVujw3A8nsOKfTFT8N8vN2ZwyPLj6EE7bmHmJNJ3WYMKGo9mYvem0Zda73DIt5m4+g7X/XoRGb7R7XM7ccAJz74rClpM5mPT1UVy2cY4jhDRO2vUKq26kLal3qDvyK3Q4flPXUYc4twUwG4Gw2xy7nyY6mncMCw8tRJmuDBOjJyJEaXssspsVd0qEUaxEyP6PUefUfm2UgCvAY9GP4WT+SWxO2+zscAipF0qwOMiZq2XIspFI0ZvM+ODPVFRoa097ao9GZ8Rn/6RDa6hK1IzvFYR1By9ZjZNQLatQXWtU9vxyLd7cds7mtvekFlhmYyCEtH8mkxm/nMpBkbr2TGHlWiM2Hr2C5263HjQ7u1iDpOzmvwBmjOHvlHxcL6+d5NXoTfhqf5ZDpkbOLtHg2KXa34cx4M1t51FISedmV1Chw6e7M2y+98W+LJRXGuo8Lneev447oryRXazBcRt/O0JIw5nMDOn5KgTVszVgc+viq4CPUoT1Ry47dken1gN+PQCp7QkcnK1YW4zPTn2GVadXIVAeiMldJ8FH6l2vzzK+EHmx98Ml5xR8zm5xcKTOEe0RjcEBg/Hh8Q9xTdX+Zk0i7Q8lWBxk+9lcu+/tTy+ESmt/WsmayrVG7E+7MWNGtwAXHM4qsrv+zhqzdKh0xjqfBJ9w9JMDQkirUaTWY19agd3396UXItbGdMW/ns6F2dy8T8cq9SbsSM6z+/4/qQUor6x/Mrq+DmXarz9Tr1dArat//Uzqp1itrzVtdzWDiaFUY6jzuDyUWYTY/wYa3nXhOowm29sihNTfxUIVdEZzvbtbNjcuh4O7Yvzw2+lcpOY5aKaY/AvA1WNAxJ2O2X4TGMxGbL+4A/MPLEBqcRru7XwvxoSPhYTfsBZFGu9IFIcNRuDh1ZBfO+OgaJ1rQuQESPgSLDiwACZz8z94IaQ5UYLFQTzk9qfzdJEIGtTXlMflQHnTGAcandHqda191xhrgM/jWs3gUJObjKYeJaSjEPK5UNYx+LSLRAC9jRthL4Ww2fvI83k3BuO2Fwuf1/z98mvWkTcT3qK+JI0j5Nd9uVGf47JSX3VR7SYRgG9nOm1CSP2du1bVbTzUzphZLWFotDd8XcSYueEE8isc0KL62BpA4gYE9W3+bTfB2cJkvPHv6/gpfTO6eXbDtNhpiHaPQmPPPvld70Gleygi/ngdksLMZo21NZAKpJjabSqSridhzdk1zg6HkDrRFYqDjO8VZPe9KQPD4NmAwWA95UJMGxRmef372Vzc3zPA7vrjarznLhPUmkq1mpDHRVyga71jIYS0ba5SISYNCLH7/mP9Q7Du4KVayx/qfeu+4A0l5HMxZWCo3fenDw6Du6z5B87u39nDbhJlbA//OhMwpHE85EKEeth+Sh7gKoFCxK/zuLyvRwC2J1e1DH2wt/3zKyGk/k5ml8JXKYZc7Lw5LwQ8Ll4c1gWFKh3u+L+9eOb7JLz723lsTrra9NaEmmLg1Aagy10Ar3XMalndHWhZ0jII+SI8HvM4hgUPhZjXxHMdl4echMkwSNwQ9escyK6nNE/ArUi0RzTu6XQPVp5eiYM5B50dDiF2UYLFQQJcJVhwd3St5X1C3TGuZ0CDnpByOBwM7+qDxC5eAICDmUWIC3JFz2C3Wuu+PCISPi7WsyjIRQLMvzu6VhNQHpeDlY/2hLeCZv4hpCOJ8lViQkLtm9SRsb6I8JLjYI0uNC+PiESQu2MGQezsLceTgzvVWj68qw8GR3g5ZJ/eSjE+eSgeNavhzl5yzBrWhab2dQBvhRirHu1Va8YphYiPLx7rBS+l2O5xOSLGFwBwuUiDWUMjnDYgJyHtTdLlEoR7N27myOYU4CbBknHdcWdXH1wp1uD3s7l4+X+nMeT/9uDoxeLGb/jI51WD20aOar5gG8nIjPjj0p83dQcajYciH4KXpPnOc2aBBFf6PQm9zANR22bDLWtfs227tRgTPgYxHjGYs3cOskqznB0OITZxGGuHQ07Xoby8HC4uLigrK4NSqXTsvrQG5Jdr8UdyHsorDbizqy9CPaXwUjRuGslClQ7ZRRrsPJ8HhYiPkbF+yCvTYuf561BK+BjZzQ+ecqHd7eeVVeJ8bjkOZhYhwFWC2yOrmmWKBbWnjCbEGVqyfHZ0uWWVyC/XYntyHkwmhpGxfvB3EUHA4+FysRp/nrsOhYiPEd184asU19ktsalKNXrklWmxIzkPeqMZI7r5IMhN6tBp3zV6I66X67D7wnXklWtxW4QXIn0VNM2vHc1RNhljyCmtxPFLJTibU4YYfyX6hLrD31Vi6X5WfVzuSM4DY8CdXX1QotHjbE4Z7orxhZdC1OhzKCHtVWPKZ1mlAT3e3ompg8IwNMp2K2dnKqjQ4Yt9mcjMV2HDk/1sPlSsk7oQ+CQOCB8G9J7umCDrKaMsE9+c+wbXKnLQw6cHBgfcBhHPcS0lOSYD/E5thPLaaeTGPYicPlPBeO3nwYHGoMHio4thMpvwzchv4C/3d3ZIhFhpFQmWFStW4IMPPkBeXh7i4uKwfPly9OnTx+76//vf//D666/j0qVLiIiIwNKlS3H33XfXa190A0dI60Xlk5DWicomIa1XY8rn9rO5eHb9CXz6UHyrTVrqjWa8t+MCilR6bJ81CN4NiXPbc0Dyz8B9XwDi2gO3t4RyfQV+Tv8Je6/ug6/MF8NDhsNP5tsyO2cM7ll74XVhO9ReXZB1xyvQuQa2zL5bQLG2GEuPLoWAK8Ca4WsQpKSuo6T1cHoXoR9//BGzZ8/GwoULceLECcTFxWHEiBHIz8+3uf7Bgwfx8MMPY9q0aTh58iTGjh2LsWPHIjk5uYUjJ4QQQgghpO3ZfjYXIR6Nb1XdEoR8Ll4YGgGjyYwXfzwFU31nskv/CzjxLdBjklOSK3qTHtsv7sAr++fhaN5R3BkyDI91fazlkisAwOGguPMQXB44A0J1IWI2PwWfMz8D7WQGHnexO+b2ngszzJi4fSKO5R1zdkiEWDi9BUvfvn3Ru3dvfPbZZwAAs9mMoKAgPPfcc3jllVdqrT9hwgSo1Wr89ttvlmX9+vVDfHw8Pv/881vuj57CEdJ6UfkkpHWisklI69XQ8lmk0qH/4r/xQK9AjI5r/d0rknPK8N72C3huaARm39ml7pULUoGv7gQ8IoChbwCclnuWrDXpsO/qXuy4+Acq9OXo7hWHQQGDIG3gtMvNjWPUwfvC73C9dAgaz3BkD5wBlV83p8bUXFR6FVadXoXUklRMiZmCp+KeavA014Q0N6d2yNPr9UhKSsKrr75qWcblcjFs2DAcOnTI5mcOHTqE2bNnWy0bMWIEtm7danN9nU4HnU5neV1eXt70wAkhzYLKJyGtE5VNQlqvppbPVXsyweUCiZGOGUi8uXULcMGDCUH4dHc6At0keNDGYNgAgMuHgB8fBSTuwG1zWiS5wsCQWZaFQzmHcCj3IHQmHbp6dMUAv/FwEzdw3BgHYXwRrseOQ1lAT/gkb0X0Ly+gNLgvcns8BJVvN4DT2MmhnU8ulGN2r9nYfnE7vjn/DX7N+hVPxD6BezvfC6nA9sx1hDiaUxMshYWFMJlM8PGxHlzLx8cHKSm2pxfLy8uzuX5eXp7N9RcvXoy33nqreQImhDQrKp+EtE5UNglpvZpSPredvoav/72IBxOCoBS3jqmL62NMvD+K1DrM3XwGFwvVmHl7OGQiPmA2A7kngWNfVU3J7BMDDHkVEDpmdiStSYdcVS4uV1xCRkkGkovOoUxXBrlAjjivOPTw7gGlsHW28tO6h+Ly4OehzDkFj/TdiP7lRVS6BqO4cyLKgxKg9owA4ztu8F1H4XF5GN15NPr49sHWjK1YfGQxliUtw5DAIRgUOAjdPbsjSBEEHpcm9SAtw6ldhK5du4aAgAAcPHgQ/fv3tyyfO3cu9u7diyNHjtT6jFAoxDfffIOHH37YsmzlypV46623cP369Vrr18zyl5WVITg4GFeuXKFmzoQ4iEKhAKceT0SofBLSsqhsEtI61bdsAo0vn/O3peC35AIAwNjuPrWmqm8Ltp8rgNZotryO56TjC+FH8OGUwix2g7HznQCn4TfSerMBp4tOIVed2+DPugpd/0uqtJ0flAOGgIoC+KsLb7nuSZ8u2NplCAy8tpGQK9YV42j+URjMhjrXuyPgDrzW6zWIeLeesbAh5ZMQp7Zg8fT0BI/Hq5UYuX79Onx9bQ8E5evr26D1RSIRRKIbBae6GWVQEI02TYij1LcfOJVPQloWlU1CWqf8/Hx4edWvy05jy6fHPS9BHnM7TJXl+Olw2+32x5PeqMNOsQhcZj4Qaktg0hQBxRsbt1EuB12lPHSt7/rM8j+AWgPgWuP262QlHA54AJR1PG/vcT0Nc/WluNoGp3rmSXng8GwnRnZf2Y2VD6yEscx4y+3Q+GOkIVrFILd9+vTB8uXLAVQNchscHIyZM2faHeRWo9Hg119/tSwbMGAAunfvXq9Bbs1mM65du9akTGR5eTmCgoLoSV4j0G/XeG3pt2ts+WqO8tlc2tLv3RT0Pdufur5reyib9dUR/ub0Hdu+6u9XWloKF5fGzXjT0PLZ3n/ThqDf4gb6LW6o+Vu0pXMfcT6npyJnz56NyZMnIyEhAX369MHHH38MtVqNKVOmAAAmTZqEgIAALF68GAAwa9YsJCYm4sMPP8SoUaOwceNGHD9+HKtXr67X/rhcLgIDm2ceeKVS2eEroMai367x2vNv15zls7m059/7ZvQ925/m/K6tsWzWV0f4m9N3bPuacvPW2PLZ3n/ThqDf4gb6LW6g34I0htMTLBMmTEBBQQHeeOMN5OXlIT4+Hn/88YdlINvs7GxwuTdGAR8wYAA2bNiA1157DfPnz0dERAS2bt2Kbt3ax3RjhBBCCCGEEEIIaXucnmABgJkzZ2LmzJk239uzZ0+tZePHj8f48eMdHBUhhBBCCCGEEEJI/Th+gvh2SCQSYeHChVYDjJH6od+u8ei3a1kd5fem79n+dKTvWpeO8DvQd2z7nPH92vtv2hD0W9xAv8UN9FuQpnD6ILeEEEIIIYQQQgghbR21YCGEEEIIIYQQQghpIkqwEEIIIYQQQgghhDQRJVgIIYQQQgghhBBCmogSLIQQQgghhBBCCCFNRAmWJliyZAk4HA5eeOEFZ4fSJuTk5ODRRx+Fh4cHJBIJYmNjcfz4cWeH1eqZTCa8/vrrCAsLg0QiQefOnfHOO++AxqdufosXL0bv3r2hUCjg7e2NsWPHIjU11dlhOcSqVavQvXt3KJVKKJVK9O/fHzt27HB2WA7XnuvtN998ExwOx+pfVFSUs8NqcR2pHAPt95hu79cMzjy3r1ixAqGhoRCLxejbty+OHj3q8H22Nvv27cPo0aPh7+8PDoeDrVu3Ojskp+lodWZdOuq1EWlelGBppGPHjuGLL75A9+7dnR1Km1BSUoKBAwdCIBBgx44dOH/+PD788EO4ubk5O7RWb+nSpVi1ahU+++wzXLhwAUuXLsX777+P5cuXOzu0dmfv3r2YMWMGDh8+jF27dsFgMGD48OFQq9XODq3ZBQYGYsmSJUhKSsLx48dxxx13YMyYMTh37pyzQ3OYjlBvx8TEIDc31/LvwIEDzg6pxXWkctxej+mOcM3grHP7jz/+iNmzZ2PhwoU4ceIE4uLiMGLECOTn5zt0v62NWq1GXFwcVqxY4exQnK4j1Zm30hGvjYgDMNJgFRUVLCIigu3atYslJiayWbNmOTukVm/evHls0KBBzg6jTRo1ahSbOnWq1bJx48axRx55xEkRdRz5+fkMANu7d6+zQ2kRbm5ubM2aNc4OwyE6Qr29cOFCFhcX5+wwWp32Wo7b8zHdEa4ZnHVu79OnD5sxY4bltclkYv7+/mzx4sUO3W9rBoBt2bLF2WG0Gu21zmys9nxtRByDWrA0wowZMzBq1CgMGzbM2aG0Gdu2bUNCQgLGjx8Pb29v9OjRA19++aWzw2oTBgwYgN27dyMtLQ0AcPr0aRw4cAAjR450cmTtX1lZGQDA3d3dyZE4lslkwsaNG6FWq9G/f39nh+MQHaXeTk9Ph7+/Pzp16oRHHnkE2dnZzg7J6dprOW7Px3RHuGZwxrldr9cjKSnJ6pjhcrkYNmwYDh065LD9kralvdaZDdURro2IY/CdHUBbs3HjRpw4cQLHjh1zdihtSlZWFlatWoXZs2dj/vz5OHbsGJ5//nkIhUJMnjzZ2eG1aq+88grKy8sRFRUFHo8Hk8mERYsW4ZFHHnF2aO2a2WzGCy+8gIEDB6Jbt27ODschzp49i/79+0Or1UIul2PLli3o2rWrs8Nqdh2l3u7bty/WrVuHyMhI5Obm4q233sLgwYORnJwMhULh7PCcor2W4/Z+THeEawZnnNsLCwthMpng4+NjtdzHxwcpKSkO2y9pO9prndkQHeXaiDgOJVga4MqVK5g1axZ27doFsVjs7HDaFLPZjISEBLz33nsAgB49eiA5ORmff/55u7lYcpRNmzZh/fr12LBhA2JiYnDq1Cm88MIL8Pf3p9/OgWbMmIHk5OR2PYZFZGQkTp06hbKyMmzevBmTJ0/G3r1729WFREeqt29+8t29e3f07dsXISEh2LRpE6ZNm+bEyJynPZbjjnBMd4RrBjq3k9aoPdaZDdURro2Igzm7j1JbsmXLFgaA8Xg8yz8AjMPhMB6Px4xGo7NDbLWCg4PZtGnTrJatXLmS+fv7OymitiMwMJB99tlnVsveeecdFhkZ6aSI2r8ZM2awwMBAlpWV5exQWtTQoUPZk08+6ewwmlVHr7cTEhLYK6+84uwwnKK9luOOcEx3hGsGZ5zbdTod4/F4tcYbmTRpErv33nsdtt/WDjQGC2Os/daZTdUer42IY1ELlgYYOnQozp49a7VsypQpiIqKwrx588Dj8ZwUWes3cODAWlO+paWlISQkxEkRtR0ajQZcrvVwSTweD2az2UkRtV+MMTz33HPYsmUL9uzZg7CwMGeH1KLMZjN0Op2zw2hWHbneVqlUyMzMxGOPPebsUFpUey/HHeGY7gjXDM44twuFQvTq1Qu7d+/G2LFjAVTV+7t378bMmTMdtl/SurX3OrOp2uO1EXEsSrA0gEKhqNUfUSaTwcPDo8P2U6yvF198EQMGDMB7772HBx98EEePHsXq1auxevVqZ4fW6o0ePRqLFi1CcHAwYmJicPLkSSxbtgxTp051dmjtzowZM7Bhwwb88ssvUCgUyMvLAwC4uLhAIpE4Obrm9eqrr2LkyJEIDg5GRUUFNmzYgD179uDPP/90dmjNqiPV23PmzMHo0aMREhKCa9euYeHCheDxeHj44YedHVqLau/luCMc0x3hmsFZ5/bZs2dj8uTJSEhIQJ8+ffDxxx9DrVZjypQpDt1va6NSqZCRkWF5ffHiRZw6dQru7u4IDg52YmQtr73XmQ3RUa6NiIM5uQVNm9fepkZ0pF9//ZV169aNiUQiFhUVxVavXu3skNqE8vJyNmvWLBYcHMzEYjHr1KkTW7BgAdPpdM4Ord0BYPPf2rVrnR1as5s6dSoLCQlhQqGQeXl5saFDh7KdO3c6O6wW0V7r7QkTJjA/Pz8mFApZQEAAmzBhAsvIyHB2WC2uI5Xjau3xmG7v1wzOPLcvX76cBQcHM6FQyPr06cMOHz7s8H22Nv/884/NemLy5MnODq3FdcQ6056OfG1Emg+HMcZaMJ9DCCGEEEIIIYQQ0u5wb70KIYQQQgghhBBCCKkLJVgIIYQQQgghhBBCmogSLIQQQgghhBBCCCFNRAkWQgghhBBCCCGEkCaiBAshhBBCCCGEEEJIE1GChRBCCCGEEEIIIaSJKMFCCCGEEEIIIYQQ0kSUYCGN8vjjj2Ps2LF231+3bh1cXV1bLJ5bCQ0Nxccff9zgzxUVFcHb2xuXLl1q9piqFRYWwtvbG1evXnXYPkjHdKty2lAcDgdbt261+/6lS5fA4XBw6tSpOrczZMgQvPDCCw3ev16vR3h4OA4ePNjgzzZkH6GhoTh+/LjD9kE6pj179oDD4aC0tNTuOrcqYy3pzTffRHx8fKM++9hjj+G9995r3oBqeOihh/Dhhx86dB+k46lPOW2I+pyH63NObMp19euvv44nn3yyUZ+tr1deeQXPPfecQ/dBSFtBCRbSrjR3YmfRokUYM2YMQkNDm22bNXl6emLSpElYuHChw/ZBSHPIzc3FyJEj671+c1+ofv755wgLC8OAAQOaZXu2CIVCzJkzB/PmzXPYPkjb1toeIDSH5kzsnD59Gtu3b8fzzz/fLNuz57XXXsOiRYtQVlbm0P2Qtqm1lNNPPvkE69ata9BnGvtQ0Ja8vDx88sknWLBgQbNsz545c+bgm2++QVZWlkP3Q0hbQAkWQuzQaDT46quvMG3aNIfva8qUKVi/fj2Ki4sdvi9CGsvX1xcikcgp+2aM4bPPPmuR8vjII4/gwIEDOHfunMP3RUh7s3z5cowfPx5yudyh++nWrRs6d+6M77//3qH7IaQpXFxcnJroWbNmDQYMGICQkBCH7sfT0xMjRozAqlWrHLofQtoCSrC0QZs3b0ZsbCwkEgk8PDwwbNgwqNVqy/tr1qxBdHQ0xGIxoqKisHLlSst71U34N27ciAEDBkAsFqNbt27Yu3evZR2TyYRp06YhLCwMEokEkZGR+OSTT5oc9y+//IKePXtCLBajU6dOeOutt2A0Gi3vczgcrFmzBvfddx+kUikiIiKwbds2q21s27YNEREREIvFuP322/HNN99YnpDv2bMHU6ZMQVlZGTgcDjgcDt58803LZzUaDaZOnQqFQoHg4GCsXr26zni3b98OkUiEfv36WS0/d+4c7rnnHiiVSigUCgwePBiZmZkAbjQFfe+99+Dj4wNXV1e8/fbbMBqNePnll+Hu7o7AwECsXbvWapsxMTHw9/fHli1bGvPTklaotZdTxhi8vLywefNmy7L4+Hj4+flZXh84cAAikQgajQZA7afcR48eRY8ePSAWi5GQkICTJ09afYfbb78dAODm5gYOh4PHH3/c8r7ZbMbcuXPh7u4OX19fq7JqS1JSEjIzMzFq1Cir5VevXsXDDz8Md3d3yGQyJCQk4MiRIwBudHH4+uuvERwcDLlcjmeffRYmkwnvv/8+fH194e3tjUWLFllt083NDQMHDsTGjRtv/UOSNmXIkCGYOXMmZs6cCRcXF3h6euL1118HY8yyjk6nw5w5cxAQEACZTIa+fftiz549AFDneea7775DQkICFAoFfH19MXHiROTn5zcp3itXruDBBx+Eq6sr3N3dMWbMGKsuq9XnnP/7v/+Dn58fPDw8MGPGDBgMBss6ubm5GDVqFCQSCcLCwrBhwwarJ+TVLTTvu+8+cDicWi02v/vuO4SGhsLFxQUPPfQQKioq7MZrMpmwefNmjPEYOMUAABStSURBVB492mq5TqfDvHnzEBQUBJFIhPDwcHz11VcAbrR0+/PPP9GjRw9IJBLccccdyM/Px44dOxAdHQ2lUomJEyda6qJqo0ePpnLaDrXmcjpnzhzcc889ltcff/wxOBwO/vjjD8uy8PBwrFmzBkDtLkJqtRqTJk2CXC6Hn59frW5uQ4YMweXLl/Hiiy9aYr/Zn3/+iejoaMjlctx1113Izc2tM96NGzfWKo9msxnvv/8+wsPDIRKJEBwcbDkPVl9/bNq0CYMHD4ZEIkHv3r2RlpaGY8eOISEhAXK5HCNHjkRBQYHVdqk8EvIfRtqUa9euMT6fz5YtW8YuXrzIzpw5w1asWMEqKioYY4x9//33zM/Pj/30008sKyuL/fTTT8zd3Z2tW7eOMcbYxYsXGQAWGBjINm/ezM6fP8+mT5/OFAoFKywsZIwxptfr2RtvvMGOHTvGsrKy2Pfff8+kUin78ccfLXFMnjyZjRkzxm6ca9euZS4uLpbX+/btY0qlkq1bt45lZmaynTt3stDQUPbmm29a1qmOa8OGDSw9PZ09//zzTC6Xs6KiIsYYY1lZWUwgELA5c+awlJQU9sMPP7CAgAAGgJWUlDCdTsc+/vhjplQqWW5uLsvNzbX8LiEhIczd3Z2tWLGCpaens8WLFzMul8tSUlLsfofnn3+e3XXXXVbLrl69ytzd3dm4cePYsWPHWGpqKvv6668t25k8eTJTKBRsxowZLCUlhX311VcMABsxYgRbtGgRS0tLY++88w4TCATsypUrVtueMGECmzx5st14SNvRVsrpuHHj2IwZMxhjjBUXFzOhUMhcXFzYhQsXGGOMvfvuu2zgwIGW9QGwLVu2MMYYq6ioYF5eXmzixIksOTmZ/frrr6xTp04MADt58iQzGo3sp59+YgBYamoqy83NZaWlpYwxxhITE5lSqWRvvvkmS0tLY9988w3jcDhs586ddmNdtmwZi4qKslpWUVHBOnXqxAYPHsz279/P0tPT2Y8//sgOHjzIGGNs4cKFTC6XswceeICdO3eObdu2jQmFQjZixAj23HPPsZSUFPb1118zAOzw4cNW2543bx5LTEy0Gw9pmxITE5lcLmezZs1iKSkplnKzevVqyzrTp09nAwYMYPv27WMZGRnsgw8+YCKRiKWlpdV5nvnqq6/Y9u3bWWZmJjt06BDr378/GzlypGW7//zzj+V8Zc/NZUyv17Po6Gg2depUdubMGXb+/Hk2ceJEFhkZyXQ6HWOsqowrlUr29NNPswsXLrBff/211vcZNmwYi4+PZ4cPH2ZJSUksMTGRSSQS9tFHHzHGGMvPz2cA2Nq1a1lubi7Lz89njN0oP+PGjWNnz55l+/btY76+vmz+/Pl24z9x4gQDwPLy8qyWP/jggywoKIj9/PPPLDMzk/31119s48aNVr9Lv3792IEDB9iJEydYeHg4S0xMZMOHD2cnTpxg+/btYx4eHmzJkiVW292xYwcTCoVMq9XajYm0Pa25nG7bto25uLgwo9HIGGNs7NixzNPTk82bN48xVnWdCIClp6czxmqfh5955hkWHBzM/vrrL3bmzBl2zz33MIVCwWbNmsUYY6yoqIgFBgayt99+2xI7Y1XX1QKBgA0bNowdO3aMJSUlsejoaDZx4kS7v2NRURHjcDi1zm9z585lbm5ubN26dSwjI4Pt37+fffnll4yxG9cfUVFR7I8//mDnz59n/fr1Y7169WJDhgyxKqNPP/201XYvXLjAALCLFy/ajYmQjoASLG1MUlISA8AuXbpk8/3OnTuzDRs2WC175513WP/+/RljNyrOmy9SDAYDCwwMZEuXLrW73xkzZrD777/f8rqhCZahQ4ey9957z2qd7777jvn5+VleA2Cvvfaa5bVKpWIA2I4dOxhjVTc83bp1s9rGggULrE6ENfdbLSQkhD366KOW12azmXl7e7NVq1bZ/Q5jxoxhU6dOtVr26quvsrCwMKbX621+ZvLkySwkJISZTCbLssjISDZ48GDLa6PRyGQyGfvhhx+sPvviiy+yIUOG2I2HtB1tpZx++umnLCYmhjHG2NatW1nfvn3ZmDFjLOVi2LBhVjdTN9/8ffHFF8zDw4NVVlZa3l+1apUlwcKY/QvVxMRENmjQIKtlvXv3tlyg2jJr1ix2xx13WC374osvmEKhsCRha1q4cCGTSqWsvLzcsmzEiBEsNDS0VhldvHix1Wc/+eQTFhoaajce0jYlJiay6OhoZjabLcvmzZvHoqOjGWOMXb58mfF4PJaTk2P1uaFDh7JXX32VMWb/PFPTsWPHGADLjV1DEyzfffcdi4yMtIpVp9MxiUTC/vzzT8bYjXNO9c0eY4yNHz+eTZgwgTF244bn2LFjlvfT09MZAEuCpeZ+q9kqPy+//DLr27ev3fi3bNnCeDyeVcypqakMANu1a5fNz1T/Ln/99Zdl2eLFixkAlpmZaVn21FNPsREjRlh99vTp03XWtaRtas3ltKSkhHG5XHbs2DFmNpuZu7s7W7x4saVcfP/99ywgIMCy/s3n4YqKCiYUCtmmTZss7xcVFTGJRGJJsDBWdc16c/ms/j4AWEZGhmXZihUrmI+Pj93vdvLkSQaAZWdnW5aVl5czkUhkSajUVH39sWbNGsuyH374gQFgu3fvtixbvHgxi4yMtPpsWVkZA8D27NljNyZCOgLqItTGxMXFYejQoYiNjcX48ePx5ZdfoqSkBEBVs8PMzExMmzYNcrnc8u/dd9+1dGGp1r9/f8t/8/l8JCQk4MKFC5ZlK1asQK9eveDl5QW5XI7Vq1cjOzu70XGfPn0ab7/9tlVcTzzxBHJzc62a/Hbv3t3y3zKZDEql0tJ0MzU1Fb1797babp8+feodw83b5nA48PX1rbNZaGVlJcRisdWyU6dOYfDgwRAIBHY/FxMTAy73RtHy8fFBbGys5TWPx4OHh0etfUskklrNn0nb1FbKaWJiIs6fP4+CggLs3bsXQ4YMwZAhQ7Bnzx4YDAYcPHgQQ4YMsfnZCxcuoHv37lZl5OZ4b+Xm8ggAfn5+jSqPPXr0gLu7u93PhYaGQqFQWF77+Piga9eutcoolceOo1+/flbN7vv374/09HSYTCacPXsWJpMJXbp0sSqfe/furVU+a0pKSsLo0aMRHBwMhUKBxMREAGj0ufP06dPIyMiAQqGwxOHu7g6tVmsVS0xMDHg8nuX1zWUpNTUVfD4fPXv2tLwfHh4ONze3esVQs/zUp5yKRCKr3/fUqVPg8XiW38Oem+sEHx8fSKVSdOrUyWqZrXIKgMpqO9Ray6mrqyvi4uKwZ88enD17FkKhEE8++SROnjwJlUqFvXv32j3WMzMzodfr0bdvX8syd3d3REZG1mvfUqkUnTt3tryuT3kEYHXuvHDhAnQ6HYYOHVrnvmqWRwBW17JUHgmxj+/sAEjD8Hg87Nq1CwcPHsTOnTuxfPlyLFiwAEeOHIFUKgUAfPnll1aVd/Xn6mvjxo2YM2cOPvzwQ/Tv3x8KhQIffPCBZVyDxlCpVHjrrbcwbty4Wu/dXPHXTFxwOByYzeZG7/dmDd22p6en5aa4WvXJo6H7qc++i4uL4eXldcvtk9avrZTT2NhYuLu7Y+/evdi7dy8WLVoEX19fLF26FMeOHYPBYHDYjD2NKY9nz561WkblkTQ3lUoFHo+HpKSkWuWxrkFb1Wo1RowYgREjRmD9+vXw8vJCdnY2RowYAb1e3+hYevXqhfXr19d67+Zjs7WdNzUaDfR6PYRCIYD6ldOa+2pIOQVAZbWDcXY5rX4QIRKJkJiYCHd3d0RHR+PAgQPYu3cvXnrppUZ/t7rYKhPspnFpavL09AQAlJSUWMpIY8ujrWVUHgmxjVqwtEEcDgcDBw7EW2+9hZMnT0IoFGLLli3w8fGBv78/srKyEB4ebvUvLCzMahuHDx+2/LfRaERSUhKio6MBAP/++y8GDBiAZ599Fj169EB4ePgtnwjcSs+ePZGamlorrvDwcKsnyXWJjIzE8ePHrZYdO3bM6rVQKITJZGpSrNV69OiB8+fPWy3r3r079u/fbzWAYHNJTk5Gjx49mn27xDnaQjnlcDgYPHgwfvnlF5w7dw6DBg1C9+7dodPp8MUXXyAhIQEymczmZ6Ojo3HmzBlotVqb8QKw3GA1R5ns0aMHUlJSrC4mu3fvjlOnTjlk9i0qj+1XzSTk4cOHERERAR6Phx49esBkMiE/P79W+fT19QVg+zyTkpKCoqIiLFmyBIMHD0ZUVFSTB7jt2bMn0tPT4e3tXSsWFxeXem0jMjISRqPRagDqjIyMWg8PBAJBs5TT+Ph4ALA6d8bGxsJsNlsN0t1ckpOTERgYaLmRJO1Hay6niYmJOHDgAHbv3m1p5TlkyBD88MMPSEtLs9vys3PnzhAIBFbfraSkBGlpaVbrNde1bOfOnaFUKq3KY0REBCQSCXbv3t3k7deUnJwMgUCAmJiYZt82IW0JJVjamCNHjuC9997D8ePHkZ2djZ9//hkFBQWWm6633noLixcvxqeffoq0tDScPXsWa9euxbJly6y2s2LFCmzZsgUpKSmYMWMGSkpKMHXqVABVle/x48fx559/Ii0tDa+//nqtREZDvfHGG/j222/x1ltv4dy5c7hw4QI2btyI1157rd7beOqpp5CSkoJ58+YhLS0NmzZtwrp16wDcyK6HhoZCpVJh9+7dKCwsbFIzxREjRuDcuXNWF6IzZ85EeXk5HnroIRw/fhzp6en47rvvkJqa2uj9AFXNKZOSkjB8+PAmbYe0Dm2pnFZfFMbHx0Mul4PL5eK2227D+vXr62zSP3HiRHA4HDzxxBM4f/48tm/fjv/7v/+zWickJAQcDge//fYbCgoKoFKpGhxftdtvvx0qlcpq6uSHH34Yvr6+GDt2LP79919kZWXhp59+wqFDhxq9n2r79++n8thOZWdnY/bs2UhNTcUPP/yA5cuXY9asWQCALl264JFHHsGkSZPw888/4+LFizh69CgWL16M33//HYDt80xwcDCEQiGWL1+OrKwsbNu2De+8806T4nzkkUfg6emJMWPGYP/+/bh48SL27NmD559/HlevXq3XNqKiojBs2DA8+eSTOHr0KE6ePIknn3wSEonEqvtFaGgodu/ejby8vFrJl4bw8vJCz549ceDAAattT548GVOnTsXWrVst32PTpk2N3k81KqftV2sup7fddhsqKirw22+/WSVY1q9fDz8/P3Tp0sXm5+RyOaZNm4aXX34Zf//9N5KTk/H444/XetAYGhqKffv2IScnB4WFhQ2OrxqXy8WwYcOsyqNYLMa8efMwd+5cfPvtt8jMzMThw4cts3o1xf79+y0zDxHSkVGCpY1RKpXYt28f7r77bnTp0gWvvfYaPvzwQ4wcORIAMH36dKxZswZr165FbGwsEhMTsW7dulpPxpcsWYIlS5YgLi4OBw4cwLZt2yxPgJ566imMGzcOEyZMQN++fVFUVIRnn322SXGPGDECv/32G3bu3InevXujX79++OijjxASElLvbYSFhWHz5s34+eef0b17d6xatQoLFiwAAIhEIgDAgAED8PTTT2PChAnw8vLC+++/3+iYY2Nj0bNnT6uLQA8PD/z9999QqVRITExEr1698OWXX9Y5Jkt9/PLLLwgODsbgwYObtB3SOrSlcpqYmAiTyWT1xG3IkCG1ltUkl8vx66+/4uzZs+jRowcWLFiApUuXWq0TEBCAt956C6+88gp8fHwwc+bMBsdXzcPDA/fdd59VdwmhUIidO3fC29sbd999N2JjY7FkyZIGdbWy5dChQygrK8MDDzzQpO2Q1mnSpEmorKxEnz59MGPGDMyaNQtPPvmk5f21a9di0qRJeOmllxAZGYmxY8fi2LFjCA4OBmD7POPl5YV169bhf//7H7p27YolS5bUSjg2lFQqxb59+xAcHIxx48YhOjoa06ZNg1arhVKprPd2vv32W/j4+OC2227DfffdhyeeeAIKhcKqe+6HH36IXbt2ISgoqMktt6ZPn16rW9OqVavwwAMP4Nlnn0VUVBSeeOIJq2nrG0Or1WLr1q144oknmrQd0jq15nLq5uaG2NhYeHl5ISoqCkBV0sVsNt9yrKEPPvgAgwcPxujRozFs2DAMGjQIvXr1slrn7bffxqVLl9C5c+cmd7eZPn06Nm7caNWd5/XXX8dLL72EN954A9HR0ZgwYUKTW9wBVV2XqTwSAnBYXZ33SLtz6dIlhIWF4eTJk5amvG3ZokWL8Pnnn+PKlSsO2f7vv/+Ol19+GcnJyfXuytQY/fr1w/PPP4+JEyc6bB+k7Whv5bS5nDlzBnfeeScyMzPr7GffVBMmTEBcXBzmz5/vsH0Q5xgyZAji4+Px8ccfOzsUp7l69SqCgoLw119/3XKgy8aorKxEZGQkfvzxxwYNfN1Qq1atwpYtW7Bz506H7YM4B5XT5sMYQ9++ffHiiy/i4Ycfdth+duzYgZdeeglnzpwBn09DfJKOjUoAaVNWrlyJ3r17w8PDA//++y8++OCDJj0Vv5VRo0YhPT0dOTk5CAoKcsg+CgsLMW7cOIee+AhpD7p3746lS5fi4sWLVrMZNCe9Xo/Y2Fi8+OKLDtk+IS2tutVlbGwscnNzMXfuXISGhuK2225zyP4kEgm+/fbbJnVtqA+BQIDly5c7dB+EtHUcDgerV6+uNUh8c1Or1Vi7di0lVwgBJVhIG5Oeno53330XxcXFCA4OxksvvYRXX33Voft84YUXHLp9T09PzJ0716H7IKS9ePzxxx26faFQ2KCxoQhp7QwGA+bPn4+srCwoFAoMGDAA69evb3LX1rrU1b2wuUyfPt3h+yCkPYiPj3d4a1jqUkvIDdRFiBBCCCGEEEIIIaSJaJBbQgghhBBCCCGEkCaiBAshhBBCCCGEEEJIE1GChRBCCCGEEEIIIaSJKMFCCCGEEEIIIYQQ0kSUYCGEEEIIIYQQQghpIkqwEEIIIYQQQgghhDQRJVgIIYQQQgghhBBCmogSLIQQQgghhBBCCCFNRAkWQgghhBBCCCGEkCb6f/C2zJ02sOOLAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Generating Feature Correlation Matrix...\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import gradio as gr\n",
        "import joblib\n",
        "\n",
        "# Save the trained model and scaler\n",
        "joblib.dump(model, 'logistic_regression_iris_model.pkl')\n",
        "joblib.dump(sc, 'standard_scaler_iris.pkl')\n",
        "\n",
        "print(\"Model and scaler saved successfully!\")\n",
        "\n",
        "# Define the prediction function for the Gradio interface\n",
        "def predict_species(sepal_length, sepal_width, petal_length, petal_width):\n",
        "    # Load the model and scaler (in a real app, this might be done once globally)\n",
        "    loaded_model = joblib.load('logistic_regression_iris_model.pkl')\n",
        "    loaded_scaler = joblib.load('standard_scaler_iris.pkl')\n",
        "\n",
        "    # Prepare the input data as a NumPy array and scale it\n",
        "    features = np.array([[sepal_length, sepal_width, petal_length, petal_width]])\n",
        "    scaled_features = loaded_scaler.transform(features)\n",
        "\n",
        "    # Make prediction\n",
        "    prediction_index = loaded_model.predict(scaled_features)[0]\n",
        "\n",
        "    # Get the species name from the iris dataset target names\n",
        "    predicted_species = iris.target_names[prediction_index]\n",
        "\n",
        "    return predicted_species\n",
        "\n",
        "# Create the Gradio interface\n",
        "iface = gr.Interface(\n",
        "    fn=predict_species,\n",
        "    inputs=[\n",
        "        gr.Number(label='Sepal Length (cm)', value=5.1),\n",
        "        gr.Number(label='Sepal Width (cm)', value=3.5),\n",
        "        gr.Number(label='Petal Length (cm)', value=1.4),\n",
        "        gr.Number(label='Petal Width (cm)', value=0.2)\n",
        "    ],\n",
        "    outputs=gr.Textbox(label='Predicted Iris Species'),\n",
        "    title='Iris Species Prediction App',\n",
        "    description='Enter the measurements of an iris flower to predict its species.'\n",
        ")\n",
        "\n",
        "# Launch the interface\n",
        "print(\"Launching Gradio interface...\")\n",
        "iface.launch(share=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 650
        },
        "id": "afVL38APxPh_",
        "outputId": "2b7067ce-5265-4bd9-ab95-a406eff40a08"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model and scaler saved successfully!\n",
            "Launching Gradio interface...\n",
            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
            "* Running on public URL: https://8ad326a5d61e758c4c.gradio.live\n",
            "\n",
            "This share link is temporary and will last for up to 1 week (best effort). For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<div><iframe src=\"https://8ad326a5d61e758c4c.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    }
  ]
}