5_Decision_Trees.ipynb

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  "metadata": {
    "colab": {
      "name": "5. Decision Trees.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "J2f4iWTlUwPL"
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      "toc_visible": true,
      "authorship_tag": "ABX9TyNVMXLghUGwau/bzpXiazun",
      "include_colab_link": true
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
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  "cells": [
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      "cell_type": "markdown",
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        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/Nirzaree/MLWithPython/blob/master/5_Decision_Trees.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qtWWt0tKkvQ6"
      },
      "source": [
        "# Concept"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6P9CkkvVrAjI"
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      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LLV-G3VfmjZM"
      },
      "source": [
        "# Setup "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XvprbHN0moc3"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt \n",
        "import seaborn as sns\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.datasets import load_iris,load_breast_cancer\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.metrics import f1_score"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o97dTY0Q1Lru"
      },
      "source": [
        "np.set_printoptions(precision=2)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Aj6VQ4Ptkyad"
      },
      "source": [
        "# Case Studies"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EsTUBU6TmhkY"
      },
      "source": [
        "## 1. Iris"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3svjhAsZzmNF"
      },
      "source": [
        "Iris = load_iris()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dNoekWOXz-xO",
        "outputId": "63ae6b37-9636-43ac-9b5e-4d55f19c35d0"
      },
      "source": [
        "print(Iris.DESCR)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            ".. _iris_dataset:\n",
            "\n",
            "Iris plants dataset\n",
            "--------------------\n",
            "\n",
            "**Data Set Characteristics:**\n",
            "\n",
            "    :Number of Instances: 150 (50 in each of three classes)\n",
            "    :Number of Attributes: 4 numeric, predictive attributes and the class\n",
            "    :Attribute Information:\n",
            "        - sepal length in cm\n",
            "        - sepal width in cm\n",
            "        - petal length in cm\n",
            "        - petal width in cm\n",
            "        - class:\n",
            "                - Iris-Setosa\n",
            "                - Iris-Versicolour\n",
            "                - Iris-Virginica\n",
            "                \n",
            "    :Summary Statistics:\n",
            "\n",
            "    ============== ==== ==== ======= ===== ====================\n",
            "                    Min  Max   Mean    SD   Class Correlation\n",
            "    ============== ==== ==== ======= ===== ====================\n",
            "    sepal length:   4.3  7.9   5.84   0.83    0.7826\n",
            "    sepal width:    2.0  4.4   3.05   0.43   -0.4194\n",
            "    petal length:   1.0  6.9   3.76   1.76    0.9490  (high!)\n",
            "    petal width:    0.1  2.5   1.20   0.76    0.9565  (high!)\n",
            "    ============== ==== ==== ======= ===== ====================\n",
            "\n",
            "    :Missing Attribute Values: None\n",
            "    :Class Distribution: 33.3% for each of 3 classes.\n",
            "    :Creator: R.A. Fisher\n",
            "    :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\n",
            "    :Date: July, 1988\n",
            "\n",
            "The famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\n",
            "from Fisher's paper. Note that it's the same as in R, but not as in the UCI\n",
            "Machine Learning Repository, which has two wrong data points.\n",
            "\n",
            "This is perhaps the best known database to be found in the\n",
            "pattern recognition literature.  Fisher's paper is a classic in the field and\n",
            "is referenced frequently to this day.  (See Duda & Hart, for example.)  The\n",
            "data set contains 3 classes of 50 instances each, where each class refers to a\n",
            "type of iris plant.  One class is linearly separable from the other 2; the\n",
            "latter are NOT linearly separable from each other.\n",
            "\n",
            ".. topic:: References\n",
            "\n",
            "   - Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\n",
            "     Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\n",
            "     Mathematical Statistics\" (John Wiley, NY, 1950).\n",
            "   - Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\n",
            "     (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.\n",
            "   - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\n",
            "     Structure and Classification Rule for Recognition in Partially Exposed\n",
            "     Environments\".  IEEE Transactions on Pattern Analysis and Machine\n",
            "     Intelligence, Vol. PAMI-2, No. 1, 67-71.\n",
            "   - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\".  IEEE Transactions\n",
            "     on Information Theory, May 1972, 431-433.\n",
            "   - See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al\"s AUTOCLASS II\n",
            "     conceptual clustering system finds 3 classes in the data.\n",
            "   - Many, many more ...\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UECtNkp10J6A"
      },
      "source": [
        "X_Iris,y_Iris = pd.DataFrame(Iris.data,columns=Iris.feature_names),pd.Series(Iris.target,name = 'Species')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "YuqZug8N0PpU",
        "outputId": "e1a32a32-11e6-42f5-f5e8-d1fa66003bd6"
      },
      "source": [
        "X_Iris.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>sepal length (cm)</th>\n",
              "      <th>sepal width (cm)</th>\n",
              "      <th>petal length (cm)</th>\n",
              "      <th>petal width (cm)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>5.1</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4.9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4.7</td>\n",
              "      <td>3.2</td>\n",
              "      <td>1.3</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.6</td>\n",
              "      <td>3.1</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>3.6</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)\n",
              "0                5.1               3.5                1.4               0.2\n",
              "1                4.9               3.0                1.4               0.2\n",
              "2                4.7               3.2                1.3               0.2\n",
              "3                4.6               3.1                1.5               0.2\n",
              "4                5.0               3.6                1.4               0.2"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N6fnCy1U0jIK"
      },
      "source": [
        "DTIris = DecisionTreeClassifier()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k4fBeB1g0mcs"
      },
      "source": [
        "X_train,X_test,y_train,y_test = train_test_split(X_Iris,y_Iris,random_state = 0)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JWg8HVzo03zE",
        "outputId": "7e6c6834-0178-4fdc-dd34-adeb15d3c003"
      },
      "source": [
        "DTIris.fit(X_train,y_train)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
              "                       max_depth=None, max_features=None, max_leaf_nodes=None,\n",
              "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                       min_samples_leaf=1, min_samples_split=2,\n",
              "                       min_weight_fraction_leaf=0.0, presort='deprecated',\n",
              "                       random_state=None, splitter='best')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "L3UsF9Yc07xo",
        "outputId": "edaa666f-4a1c-4a24-8632-ff7bcd5bb558"
      },
      "source": [
        "print(\"Accuracy (Training Data) = {}\".format(DTIris.score(X_train,y_train)))\n",
        "print(\"Accuracy (Testing Data) = {:.2f}\".format(DTIris.score(X_test,y_test)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Accuracy (Training Data) = 1.0\n",
            "Accuracy (Testing Data) = 0.97\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fOElF8nm2MpO"
      },
      "source": [
        "### Plot Decision Tree"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qQn7VOM8OHjT"
      },
      "source": [
        "* sklearn.tree module's plot_tree function\n",
        "  * specify feature_names, class_labels and filled argument (if True it paints the nodes to the color of the majority class)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FdGFtWaq2Q9e"
      },
      "source": [
        "from sklearn import tree"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 712
        },
        "id": "gHmpyd81M0Uz",
        "outputId": "b31aba54-8c0d-4295-bd64-a822f9a6808e"
      },
      "source": [
        "plt.figure(figsize = (10,8))\n",
        "tree.plot_tree(DTIris,\n",
        "               feature_names = Iris.feature_names,\n",
        "               class_names = Iris.target_names,\n",
        "               filled = True)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Text(223.2, 391.392, 'petal width (cm) <= 0.8\\ngini = 0.665\\nsamples = 112\\nvalue = [37, 34, 41]\\nclass = virginica'),\n",
              " Text(167.39999999999998, 304.416, 'gini = 0.0\\nsamples = 37\\nvalue = [37, 0, 0]\\nclass = setosa'),\n",
              " Text(279.0, 304.416, 'petal length (cm) <= 4.95\\ngini = 0.496\\nsamples = 75\\nvalue = [0, 34, 41]\\nclass = virginica'),\n",
              " Text(111.6, 217.44, 'petal width (cm) <= 1.65\\ngini = 0.153\\nsamples = 36\\nvalue = [0, 33, 3]\\nclass = versicolor'),\n",
              " Text(55.8, 130.464, 'gini = 0.0\\nsamples = 32\\nvalue = [0, 32, 0]\\nclass = versicolor'),\n",
              " Text(167.39999999999998, 130.464, 'sepal width (cm) <= 3.1\\ngini = 0.375\\nsamples = 4\\nvalue = [0, 1, 3]\\nclass = virginica'),\n",
              " Text(111.6, 43.488, 'gini = 0.0\\nsamples = 3\\nvalue = [0, 0, 3]\\nclass = virginica'),\n",
              " Text(223.2, 43.488, 'gini = 0.0\\nsamples = 1\\nvalue = [0, 1, 0]\\nclass = versicolor'),\n",
              " Text(446.4, 217.44, 'petal width (cm) <= 1.75\\ngini = 0.05\\nsamples = 39\\nvalue = [0, 1, 38]\\nclass = virginica'),\n",
              " Text(390.59999999999997, 130.464, 'petal width (cm) <= 1.65\\ngini = 0.375\\nsamples = 4\\nvalue = [0, 1, 3]\\nclass = virginica'),\n",
              " Text(334.79999999999995, 43.488, 'gini = 0.0\\nsamples = 3\\nvalue = [0, 0, 3]\\nclass = virginica'),\n",
              " Text(446.4, 43.488, 'gini = 0.0\\nsamples = 1\\nvalue = [0, 1, 0]\\nclass = versicolor'),\n",
              " Text(502.2, 130.464, 'gini = 0.0\\nsamples = 35\\nvalue = [0, 0, 35]\\nclass = virginica')]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a8aqZ4L9OpF9"
      },
      "source": [
        "### Preprune tree"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8iswl6ItOxvk"
      },
      "source": [
        "DTIris2 = DecisionTreeClassifier(max_depth=3)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3FS-HSO1Oxvm"
      },
      "source": [
        "X_train,X_test,y_train,y_test = train_test_split(X_Iris,y_Iris,random_state = 0)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e-HaAgfJOxvo",
        "outputId": "2a29d152-396e-4e01-8229-f848e1889acc"
      },
      "source": [
        "DTIris2.fit(X_train,y_train)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
              "                       max_depth=3, max_features=None, max_leaf_nodes=None,\n",
              "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                       min_samples_leaf=1, min_samples_split=2,\n",
              "                       min_weight_fraction_leaf=0.0, presort='deprecated',\n",
              "                       random_state=None, splitter='best')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_5C3OaujOxvq",
        "outputId": "9952be35-e6b2-457e-b361-b206a0f69b86"
      },
      "source": [
        "print(\"Accuracy (Training Data) = {:.2f}\".format(DTIris2.score(X_train,y_train)))\n",
        "print(\"Accuracy (Testing Data) = {:.2f}\".format(DTIris2.score(X_test,y_test)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Accuracy (Training Data) = 0.98\n",
            "Accuracy (Testing Data) = 0.97\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 642
        },
        "id": "pWyQ0YvIOsM6",
        "outputId": "51b7c857-df58-43d1-e6ea-d62f39fe2d4c"
      },
      "source": [
        "plt.figure(figsize = (10,8))\n",
        "tree.plot_tree(DTIris2,\n",
        "               feature_names = Iris.feature_names,\n",
        "               class_names = Iris.target_names,\n",
        "               filled = True)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Text(209.25, 380.52, 'petal length (cm) <= 2.35\\ngini = 0.665\\nsamples = 112\\nvalue = [37, 34, 41]\\nclass = virginica'),\n",
              " Text(139.5, 271.8, 'gini = 0.0\\nsamples = 37\\nvalue = [37, 0, 0]\\nclass = setosa'),\n",
              " Text(279.0, 271.8, 'petal length (cm) <= 4.95\\ngini = 0.496\\nsamples = 75\\nvalue = [0, 34, 41]\\nclass = virginica'),\n",
              " Text(139.5, 163.07999999999998, 'petal width (cm) <= 1.65\\ngini = 0.153\\nsamples = 36\\nvalue = [0, 33, 3]\\nclass = versicolor'),\n",
              " Text(69.75, 54.360000000000014, 'gini = 0.0\\nsamples = 32\\nvalue = [0, 32, 0]\\nclass = versicolor'),\n",
              " Text(209.25, 54.360000000000014, 'gini = 0.375\\nsamples = 4\\nvalue = [0, 1, 3]\\nclass = virginica'),\n",
              " Text(418.5, 163.07999999999998, 'petal length (cm) <= 5.05\\ngini = 0.05\\nsamples = 39\\nvalue = [0, 1, 38]\\nclass = virginica'),\n",
              " Text(348.75, 54.360000000000014, 'gini = 0.375\\nsamples = 4\\nvalue = [0, 1, 3]\\nclass = virginica'),\n",
              " Text(488.25, 54.360000000000014, 'gini = 0.0\\nsamples = 35\\nvalue = [0, 0, 35]\\nclass = virginica')]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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4ab2+jpmZGQf2HqX7Fz1p2bop/5s4hRNHzrLwn/kEBwcDcOXqZXp2783pExewsrZixsxpcfoNCgpizNhRbFy3jUP7j+Ph4cmkyRMIDg5mzbrVnDx2jmOHTzN44E/xYv6Qu7iS6+ixI0RHR1O0aLEUb1sIIdI62ZYuMgyX0q4MGvIdPw4dRD3fhlSuVAWA3Xt2MuF/vxMeHs7Tp09wLuVMg/q6qxca1G8MQOnSrpQqVVo/elK4cFHu3b9L9uw25M9fgIoVdAlI29YdmOY/mQH9X4/WHDl6iEuXLlC9VmUAoqOj8fEpT/bs2bEwt6Dnl19Q37ch9RO4v+vVSc2f2oPAB3Tt/jmzZsyLNwokhBCZgSQ8IsMoUcKRQ/uOs3nrRoaNGEr1ajX4dsBA+g/ow/69RymQvwAjRw0jMjJSX8fcXHdvlpGRkf7Xr16/ukdLUeLunlaI+1pVVWrUqM3f8xbFi2nf7sPs3LWdlauXM33GVLZs3B7n/Q+5i+tjPX/+nGbNGzL851/x8S6fIm0KIUR6IwmPyDACHgSQM0dO2rXpgE12G+bOn61Pbmxz2RIWFsaq1Sto1rT5B7V79+4dDh0+SHmfCixZtoiKFeNON3l7laf/N19x/fo1ihUrzosXLwgIuI+dnT3h4eH41q1PhfKVKOUafyrpU4/wREdH06qtH+3bdcSvWYtP1o8QQqR1MrYtMozz589SuaoP3hXcGfXbCAYP/BEbGxu6dO6Gh7crDZv64unp9cHtOpZwwv+vaZTxcCbkaQg9uvWO837u3LmZ6T+Xz7u0o5xPGarWqMjlK5cIDQvFr2UjyvmUoUbtKoz97Y9kf8YhPw2kmGMBwsPDKeaoG7ECOHb8KMUcC7By1TK+6t8L93K6u7eWr1zKvv17+HvhfP36oNNnTiU7DiGESG/kpGWRYjLiScu3bt/Cr0UjThw9a+hQMhQ5aVkIkdpkhEcIIYQQGZ6M8IgUkxFHeMSnISM8QojUJiM8QgghhMjwJOERGcbb90ulhlu3b2FjmwXvCu4AREZGUrmqD17ly+JezoURv/6iL1uj9mf6hcNFijvQsk2zRNu+fec25St54l3BHfdyLsyc5R+vTPNWTfDwck1yvMeOH41331ajpvXI65CDZi0axSnbqWsH7ArkilNWCCHSK9mWLkQyFS1STL+13NzcnM0btpMtWzY0Gg01alehbp16+HiXZ8e2Pfo6bdq1oGHDxom2a5fPjt07DmBubk5YWBge3q40aNAYezt7AFavWUnWrNmSHKdWq+XHoYOpVbNOnOcD+n9HREQ4s+b8Fef5/DkL6dazS5LbF0KItExGeESa9NPPg/GfMVX/euSoYUycNJ6wsDB8G9SifCVPPL3dWLd+Tby6u/fsijNa8fU3X7Fg4TwATpw8Tq261ahQuRwNm/jyIPBBisatKArZsumSEI1Gg0ajiXdw4fPnz9m1ZweNGzZNtC0zMzP9YYhRUVHExr5eHxUWFsakKRP5YeCPSY5tmv9kmjXxI3fuPHGe16hek2zZUn90TAghUpMkPCJNatG8NctXLtO/XrFyGS2at8bCwoKli1dyaP9xtmzcwaAh35HUhfcajYZvvuvH4oXLOLjvGJ06duGX4fEThsVL/knwfqu27VsmqR+tVot3BXcKFMlLzRq18PbyifP+2vWrqV61JtbW1u9t6+69u5TzKUPxkgX5bsBA/ejO8JFD+brvN1hmyZKkmO4H3GfN2tX06N77/YWFECIDkiktkSaVLePO48ePCHgQQFDQY2xy5KBA/gJoNBp+HjaEffv3YmRkREDAfR4+eki+vPne2+aVK5c5f+EcDRrrpnS0Wi35Erh5vG3r9rRt3f6jYzc2NubIwZOEhITQqq0f58+fo3RpF/37S5f9S5dOXySprQL5C3Ds8GkCHgTQqk0zmjVtQeDDB9y4eYPfx07k1u1bSWrn+4EDGDVyjNyjJYTItCThEWmWX7MWrFq1nMBHgbT0awXoRl+CgoI4uO8YpqamODoXiXM3FoCJiUmc6Z/IKN37qqriXKo0u3ccSLTfxUv+YeL/xsd7XqxocRb/syyBGgmzsbGh6mfV2PrfZn3CExQUxLHjR1i6eGWS2wGwt7PH2bk0+w/sJSjoMSdOHMPRuQjamBgePX5Ebd/qbNu88531j588RsfObQEIDg5iy5aNmJiY0LhR4tNqQgiRUcg/90Sa1bJ5a5atWMKq1Svw89NNJz1/9ozcuXNjamrKrt07uXPndrx6BQsW4uKlC0RFRRESEsLOXTsAcHR04nHQYw4dPgjoprguXDgfr37b1u05cvBkvJ+kJDuPHz8mJCQEgIiICLbv+A8nx5L691etXk4934ZYWFjonx09doSu3TvFa+ve/XtEREQA8PTpUw4c3I9jCSd6dO/NzWv3uXLhJtu37aVEcUd9sjPdfwrT/afEa+vy+RtcuXCTKxdu0qxpCyZNnCrJjhAiU5ERHpFmOTuXJjQ0FHs7B+xeTj21ad2e5q0a4+nthodHuTjJxCsF8heghV9LPLxdKVyoCGXddFvGzczMWLxwGd9815/nz58RExPDV3364+xcOsViDnz4gG49OqPVaomNjaW5X0vq12uof3/p8iV8/+2gOHXu3r2D5RsJ0CuXLl9k8A/foSgKqqrydb9vcXFJfAv65SuXqFC+UqJl3laj9mdcuXKJsBdhFHMsgP+0WdSuVfeD2hBCiLROTloWKSYznrScEndt/fDj97Rr2xFXF7dkx9OsRSOWLFqBmZlZstsC6NazC/V9G6T4Tety0rIQIrXJlJYQyWBsbMyz58/0Bw9+jN9G/Z4iyQ7AquXrUizZ6dS1A3v37Y4z/SaEEOmVjPCIFJMZR3jEx5ERHiFEapMRHpHhvDqkMK2aOcufhYsWfFCd4yeO8c13/d5brlrND1u/I4QQmYUsWhYilXXv1ivB5zExMZiYJPxb0tOjHJ4e5d7b9q7t+5MVmxBCZFQywiPStYWLFlDOpwxe5cvSpdvn8d6fPXcmlT7zxqt8Wdq0a0F4eDigO7nZw8sVr/JlqVmnKgAXLpynclUfvCu4U86nDNeuXf3ouGJjY3F0LqLfog5QuowjDx8+jDMCVdu3Ot8N/JqKVbyYMm0Sx44fpZxPGbwruPPDj9/rLwZ987qMkaOG0aN3V2r7VqekSzGmTvtT38ebF6iOnzAWT283vMqX5aefByf6fQghREYnIzwi3bpw4Txjxo1i13/7sbW15cmTJ/HKNG3sxxddugPwy/CfmDd/Nl/27svoMSNZt2YzDvYO+qRk5mx/+nzZj7at2xMdHY1Wq43XXofP23Dl6uV4z/v1HUCHdq8TLiMjIxo1aMyadavo1LELR44epmCBQuTNmzde3ejoaA7sPQqAh5cr06b8RXmfCvokJSFXrlxmy8YdhIaG4uZRkh7de2Nqaqp/f8vWTazfsJa9uw6RJUsW/Xfzru9DCCEyOkl4RLq1a/cO/Jq2wNbWFoCcOXPGK3P+wjmGjRjKs2chhL0Io/bLm8IrlK9I955daO7XkqaN/QDw8anA2HGjuX//Hk0b+1G8eIl47S1c8G+S42vRvDWjx4ykU8cuLFv+Ly2at3pnOYCQkBBCw0Ip71MBgNat2rFx04YE6/jWrY+5uTnm5ubkts3Dw0cPye+QX//+jp3/0bFDZ7K8vGvr1Xfzru9DCCEyOpnSEhla915d+N+EyRw/coYff/iZyKgoAKb86c+wn0dy795dKlQpR3BwMG1atWP50jVYWljSpHkD/QnNb+rweZsELxZNaBFyeZ8KXL9xjcePH7N2/Rp9YvW2rFmzfvDnenWLOui2xsfExCSp3ru+DyGEyOhkhEekW9Wq1qBVOz/69/2GXLly8eTJk3ijPGGhoeTLa4dGo+HfJYuwt3cA4PqN63h7+eDt5cPWbZu5d/8uz54/o2iRovT5sh93793h3PkzVK9WI057HzLCoygKTRo1ZeAP31LSqRS5cuVKtLyNjQ1W2aw4cvQw3l4+LF2e9L7eVrNGbUaPGUnb1u31U1o5c+Z85/chhBAZnSQ8It1ydi7NoO+HUNu3GsbGxpQp486sGXPjlPll6AiqVC9PbtvceJXzJjQsDIAhPw7k2vWrqKpK9Wo1cHMtw/gJY1m0eCGmpqbkzZuPgd8NSXaMLZq3ptJn3sx8K6538Z82iy+/6oGRkRFVKn+GdfbsH9Vvndq+nD5ziopVvDAzM6Nu3XqMHDb6nd+HEEJkdHLwoEgxcvBg8oWFhZEtWzYAfv9jDIGBD/jj90kGjirlycGDQojUJiM8QqQhmzZv4Pc/xhATE0PBgoWY6Z+0kSEhhBCJkxEekWJkhEcklYzwCCFSm+zSEkIIIUSGJwmPEEIIITI8WcMjUoyFhcVDi2xG8Y8SFuItFhYWDw0dgxAic5E1PEIAiqIMBGoBddU0/JtCURRT4BgwTlXVfwwdjxBCpBeS8IhMT1GU4sAhwEtV1ZuGjud9FEUpB6wHXFVVfWzoeIQQIj2QhEdkaoqiKMB2YL2qqhMMHU9SKYoyHsirqmpHQ8cihBDpgSxaFpldF8AK+NPQgXygX4BKiqL4GjoQIYRID2SER2RaiqLYAaeB2qqqnjZ0PB9KUZTawEzARVVVuSNCCCESIQmPyLQURVkGXFFV9UdDx/KxFEWZB4Soqvq1oWMRQoi0TBIekSkpitIUGAuUUVU10tDxfCxFUXIB54CmqqoeNnQ8QgiRVskaHpHpKIqSHZgC9EjPyQ6AqqrBwNfALEVRzAwdjxBCpFUywiMyHUVR/NH9v9/T0LGkhJc7zdYCR1RVHWnoeIQQIi2ShEdkKoqifAYsAkqrqvrM0PGkFEVRCgAngM9UVb1o6HiEECKtkSktkWkoimKBblfTVxkp2QFQVfUuMAyYqSiK/L4WQoi3yB+MIjP5CTirqupqQwfyiUwHFCBDTNUJIURKkiktkSkoiuIG/IduV9YDQ8fzqSiK4gzsBtxVVb1n6HiEECKtkBEekeEpimIMzAaGZORkB0BV1QvAZGD6y8XMQgghkIRHZA79gFB0SU9mMAYoArQ0dCBCCJFWyJSWyNAURSkCHAUqqKp61dDxpBZFUSoAK9BdO/HE0PEIIYShScIjMqyXUzqbgR2qqo41dDypTVGUSYC1qqpdDB2LEEIYmkxpiYysI5AHmGDoQAzkJ6CGoii1DB2IEEIYmozwiAxJUZQ8wFmgnqqqJwwdj6EoilIP3TUarqqqhhs6HiGEMBRJeESGpCjKIuCeqqoDDR2LoSmK8g8QoKrq94aORQghDEUSHpHhKIrSAPgTGdUAQFGU3OhGuxqqqnrM0PEIIYQhyBoekaEoimIFTEN3E3qmT3YAVFV9DHyH7kZ1U0PHI4QQhiAJj8hoRgPbVVXdbuhA0ph/gEDgW0MHIoQQhiBTWiLDUBSlIrAcOXsmQYqiFAaOkcnOJBJCCJARHpFBKIpiDswC+kuykzBVVW8BvyI3qgshMiH5Q09kFIOBq+hGeMS7TQYsgS8MHYgQQqQmmdIS6Z7cEP5hFEVxBXaguzk+wNDxCCFEapARHpGuvbwJfRYwVJKdpFFV9Szgj260RwghMgVJeER61xvQAn8ZOpB0ZhRQWlEUP0MHIoQQqUGmtES6pShKQeAEUFlV1UuGjie9URSlCvAvUFpV1RBDxyOEEJ+SJDwiXXp5E/p64KCqqr8aOp70SlGUaYCJqqo9DB2LEEJ8SjKlJdKrNkABYJyhA0nnfgDqKYpSzdCBCCHEpyQjPCLdURTFFjgHNFZV9Yih40nvFEVpDIxHt2srwtDxCCHEpyAJj0h3FEWZDzxRVXWAoWPJKBRFWQpcV1X1B0PHIoQQn4IkPCJdURSlDrodWS6qqoYZOp6MQlGUfMAZoI6qqqcMHY8QQqQ0WcMj0g1FUbICM4CekuykLFVVA4FB6G5UN1EUxUpRlFyGjksIIVKKjPCIdENRlAmAraqqnxs6lozo5c63/4CNwDN0J1f3MWxUQgiRMkwMHYAQSaEoijfQDnAxdCwZmCnQAzgMDAEKGjYcIYRIOTLCI9I8RVFMgePAGFVVFxk6noxKUZSFQE7gLFANMFVV1cOgQQkhRAqRhEekeYqiDAEqAw1U+R/2k3mKdDoAACAASURBVFEUxQzoh+7meRUwV1XV2rBRCSFEypCER6RpiqI4AfsAT1VV7xg6nsxAURR7dBey1gOMVVWNNXBIQgiRbJLwiDRHURQHIB9wEtgFLFNVVW72TmWKohRSVfW2oeMQQoiUIIuWRVrUEigKlEO3kHaaYcPJnCTZEUJkJHIOj0iL8gOhwK/odg3JziwhhBDJIlNaIs1RFGUxUAI4BbgDgaqqNjBsVB/H0sIyMDIqMq+h4xDpg4W5xcOIyIh8ho5DiIxIEh6R5iiKcgEoDDwFBgKL0uvuLEVR1IfXNYYOQ6QTeYuZoqqqYug4hMiIZA2PSItsgNVAL1VVnxs6GCGEEOmfJDwizVFV1d7QMQghhMhYZNGyEGncv8vnE/gw4L3l+n3flXWbViT5eXL9b9oY/a/v3LvFZ75lk1RvxtxJLF35d7L7n71gKouWzU12Ox9iyPCvKeJqk+B70dHR9B/4BVXrlaV6Aw/2H9qtf69Zu5pUrFWaGg09qdHQk8dBj1IrZCHES5LwCJHGLVm5IEkJT2qbNH3M+wu9JSYmhsXL5uHXuG2y+2/bsguzF0z9oDpPQ558dH+nzhzj2fOn73x/4ZJZAOzedIql8zczbPT3xMa+PrNx2oT57Fh/nB3rj5PbNs9HxyGE+DgypZWGWJgaBUbFqLKjxwDMTZSHkZrYT7475s69W7Tt0hA3F3fOnj+FUwlnJo+fSxbLLJw+e5xfRn/Pixdh5Mxpy5/jZnPk+AFOnT3Ol990wsLCgg3L9zFt5h9s3b6eiMhIvDzKM37UdHQXnb9fQn3kzWNHs3Y18Sjjzb5Du3j+/BkTx/xFea/KhEeE03/gF1y6cp5iRRwJfBTAmGF/sm7zSiIjI6jR0BOnEs788O1IYmO1fPNDT46dPES+vPbMn7ESSwvLOP3vO7gTt9LumJjo/ui5eesa3w/tQ/CTxxgbGzNr8r/cf3CP3ycNx9rahouXz9G4fgtKObkwc95kIiMjmO+/gsKFipHFMgsFHApz4vQRPMp4v/MzR0ZFsn7zSv5ZMge7fPZMm7Dgg/+7abVaho8ZjP///mbj1jUJlrly7SKVK1QHILdtHqytbTh19liisQkhUo8kPGlIVIya9/7wCoYOI1Ny+OVgqiWa125cZuJvM/AuV4n+g7oxb6E/3Tv3Zcjwr5k/YyW2uXKzev1SRv8xlEljZzHn72n8MngsZd3KAdC145d82/cnAPp824mtOzZQt2bD9/ar0Wje2QdAjDaGLasO8t/OTYz/cyTL/97CvIX+ZLe2Ye+WM1y8fI6ajXQxDB04mjl/T2PH+uOALpG7cesq/v/7mwm/zaB737Zs2LySFk3bx4nhyPEDuLm8vo+09zef06/nQOrXbUpkVCSxsbHcf3CP8xfPsG/rWWyy58S7uiPtW3Vly6qD/DX3T2YtmMqvQycAUMbVk8NH9yeYVJy/eJqFS+awY/cWalStw/Ah4/R9X7txmR792iX4Pa1atJ3s1nGnrWYvmErdWg3Jm8fund+vc0k3tmxfT7NGbbj/4C5nzp0g4ME9fWz9B3XD2NiYhnX9GPDVkCQnqUKIlCEJjxCpzMGuAN7lKgHQokl7Zs2fQvXP6nDp6nladfIFdCMK7/rLdf+hXUz5azwREeGEPHuKU4nSSUp4rt24nGgfDeo0BcDN1YO793SHLB8+tp/unfsCUMrJBeeSru9sv2D+Irg469bxuLl4cOde/IOaHz56QIliJQEICwsl8GEA9evq+rUwt9CXK+tWTh9b4YJFqVa51ssYXOOsjbHNlZtrNy7H68d/9kRGjx/Kz4PHMOyHcZibm8d5v3hRJ32y9j6BDwNYt2kFqxZtT7Rcu5ZduHr9EnWa+pDfoRBeHhUwMjIGYNqEBdjlcyAsLJSufVqxbNVCWvl1TFL/QoiUIQmPEKns7X/ZK4qCiopTCWc2Lt+XaN3IqEgG/dyXrasP4WBfgN8njSAqKjJJ/b6vDzMzXVJgbGSMVhuTpDYTqv+qjUhtRLwyFhaWSYr3zbaMjIz0r42MjIh5I7aoqEgszC3j1W/epD2amBgWLJ7F/kO7adOiEzWr+uqn0j5khOfshVPcvH2d8jV0iVpERDg+1UtyeOelOPVMTEwY+dMf+tcNWlShWJESANjlcwAgWzYr/Bq14eSZo5LwCJHKZNGy4Pcdd9hzPSTRMlsvPWHK3vvJ7utMQBg1p56i0qQTDN14k4TOE1RVlaEbb1Jp0glqTTvN2YCwZPebltwLuMPREwcBWLluMT7lKlG8iBPBwUH65xqNhktXzgOQNasVYS9038GrZCFnTltevAhj3aaVSe43sT7exduzIms3LgPg8tULXLx8Tv+eqYkpGs2HHaroWLwkN29fB3R/+dvlc9CviYmKiiI8IvyD2rt+8yolHUvHe57bNg99e37Pns2n6NGlH+s3raBCLWf8Z08EXo/wJPTz9nRW7er1OXf4Hsf2XOPYnmtYWmaJl+wAhEeE8yL8BQC79/2HiYkJTiWciYmJIfhJEKD7zrft3JhgzEKIT0tGeATf1yj43jJ1SuakTsnk9/XD+huMa1wMj/zZ6LjwEjuvhVCjRI44ZXZcDeFmcCT7+rlz4l4YP6y/yfoe755KSW+KF3Vi7sLpDBjcA8fipejUvidmZmbMnvovP44YwPPQZ2i1Wrp37ktJx9K0af45A4f20S9a7tBat/U5j21e3N08k9xvYn28S+cOvej3fVeq1HWjeFEnnEo4Y22VHYCObbpRvYEHrqXL8sO3I5MUQ42qvnz1bWf966nj5/HdT18y7n/DMDUxZeaUf5P8eQCOnjjA9/1/TrRMBe8qVPCuQmjoc06cOfpB7b/P5v/WcfrscQYNGEZQ8CPadG6AkZER+fLaM+WPeQBERUfRpnN9NDEaYmNjqVKxBh1ad0vROIQQ7ydXS6QhiqKon3LR8sRd91h55jG5sppib22Gm302elWy5+tV16jlmIOGpXPhM/EELcvkZtuVp8RoY5nRyoniuS1ZcvIRZwLCGNWg6Ef3/zA0mpbzzrOnrzsAq88GceDmM8Y1Lhan3MC116lYJDtNXW0BqPLnSZZ3KU1eK7OP//Dv4fDLwU9ypP/bV0vcuXeLDt2asmfzqZTu6pPQarVoYjRYmFtw6/Z1Wnzuy4Ft5zEz+/j/Fp17teDnQb9R9OV0z8c6e/4k/nP+x9Q/5iernbRErpYQ4tOREZ5M4tT9MDZeDGZb7zLExKrU9T+Dm322BMvmzGLCll5uzDsSiP+BAMY3KZZgOYD9N58xbPOteM8tTY1Y2y3uqEzg82jsrF+vzbCzNiMwNDpe3cDQaOytzeKWex79SRMekbCIiHD82tdCE6NBVVXGDp+crGQH4KeBo3j4ODDZCc+Tp8EMGjA8WW0IITIPSXgyiaN3QqnrlBMLU92yrdpOOd5Ztp5zTgDc7LOy6WLiB7VVKpKdbb3LpFygGVzB/IXTzegO6NbZbF1zOEXbLF7UieJFnZLdTtWXO7eEECIpJOER8Zgb65IiY0VBG5v4lOeHjPDkszbjwfMo/esHz6PJl8CoTT4rMwKeR8ctZy2jO0IIIT6e7NLKJLwKWrHtylMiNbG8iNLy35V3H5H/IV6N8Lz983ayA5DXygwrc2OO3w1FVVWWn3pM3ZI545WrUzIny089RlVVjt8NxdrCWKazUtnYicPYvT/xc2c2/7eOP/3HJbuv02ePU7VeWXyql2TI8K8T3Ln3yskzR7F3tIhzN9jIsT/wmW9ZPvMty+r1S/XPVVVl9PihVKjpTOU6rsycNznZsQoh0i8Z4ckkyjpko45TDmpNP03urKaUypMFK3PjVI9jdIOiDFh9jUhNLNVL2FCjhG4L8IKjgQB87pWPmiVs2HHlKZUmncTS1IgJTYunepyZ3aABw95bxrdWI3xrNUp2XwN//oo/RvvjWdaHdl0bsWP3FmpW841XTqvVMnLsEKpVrq1/tm3nRs6cP8mO9ceIio7Cr11Nalb1xcrKmn9XzCfgwV32bzuHkZGRXNgpRCYnu7TSkE+9S+tFlJas5sZERGvxm3uecY2K4vqOhcuZTWrt0kprJkwexfI1i8iV0xZ7uwKUcfHgy+7f0O/7rtSu0YBG9ZpT7rPitPLryNYd69FoNMya8i8lipXk3+XzOX3uOL8N+/Oj+3/46AF+7Wuzf5vufJ+Va//lwOHdjB81PV7ZGXMnYWpiyqkzx/SxTf3rD6KiIvmm748AfD24O9Wr1KFJg5bUbVYB/4l/U6Rw+kmYZZeWEJ+OTGllIgPXXaf29NPUnXGG+qVySbKTyZ08c5T1W1ayY8NxFs9Zz+mz775qIWeOXPy39iid2/dk2qwJiba77+AuajT0jPfToEWVeGUfBN7Xn0IMYG+XnwcJ3Az/IPA+m7auoXP7XnGely7lxo49WwiPCCf4SRD7D+0m4ME9AG7fucHqDcuo08SHtl0acuPm1UTjFkJkbDKllYlMbeFo6BBEGnLk+AF8azXW3WFlbkGdmg3eWbZB3WaA7o6sDVtWJ9pu5QrVknxPVVIN/fVbfho4GiOjuP9Gq1alNifPHKNhyyrkypmbcu4+GL1cdB8VHYWFuQVb1xxmw5ZVfD24O2uX7ErRuIQQ6YckPOKDtJh7nqF1ClHGIfVGh9r/fYGHoRq0sSrehawZ3aAIxkYKvZZe4Xqw7r6m55FarC2MZYv8J/Ih92ztO7iLn0d9G++5pUUWNizfG+eZXT4HHgS+vrIk4ME97PLax6t76uxxevXvAEDw0yD+27UZY2MT6tdpwoA+PzCgzw8A9Pq6I8UK6xJ7+3z59ReT1q/TlP4D5XRjITIzSXhEmuff0hErCxNUVaXHkiusPx9ME1db/Fu9HrEavvkW1hapvwg7PfP2rMj3P31Jv96D0MbEsG3HRjq2SX5S8CEjPHnz2JEtmxXHTh7Cs6wPy1Yt5IvP+8Qrd2z36+moV+uL6tdpglar5dnzEHLmyMX5S2e4cOks1cbrFjX71m7M/kO7KFSgCAcO79Ff5CmEyJwk4UnnwqO19Fx6hQfPo4lVVfpXzU8TF1sm7rrLtstPiYyJpVwBK8Y2KoqiKLSYe57S+bJy5M5zwqNjmeRXnCl773PxYTiNXXIxqGZB7j6NpP3Ci7jZZePsgxc45rHkz2bFsTSLm1DsvhbC+J13idaqFMphzsSmxclqbszobbfZevkpJkYKnxXLzs91CyfrM1pZ6P43jYlVidaq8NaSTlVVWXc+mKWdnZPVT2bj7uZF3ZqNqF7fg9y2eSjl5IKVlXWqxzF2+GT6DexGZFQENavW1e/Qmr9oBgCd2vV8Z11NjIYmbaoDukMSp02Yp78RvV+vgXw54HNmzJlE1qzZmPDbjE/8SYQQaZns0kpDPmaX1oYLwey6GsLvL69/eB4Zg7WFCU/DNeTIYgpA3xVXaeSSizpOOWkx9zzuDtn4sU4hZh18wLT999nU0w0bSxMqTjrJtt5uvIjSUv5/J1n9RWm8ClrzzeprOObOQq9K9voprQI25nRbcpmFHUqRxcyYqXvvE62NpZN3PprMOseevmVRFIVnETFkt4ybV3/IYYWvtFtwgVP3w6hewoY//UpgbPQ66zl06znDt9xiU0+3D/ru3pRZd2m9eBFG1qzZCI8Ip2mb6owfNR03Fw9Dh5VpyS4tIT4dGeFJ50rmycKILbcZtfU2tZxy4FNI9y/0A7eeM31fABEaLSERMTjlyUKdl6f51ympu1aiZN4sOObOoj/Ur1AOcwKeRZPdwhj77GZ4FdS15eeWmzmHH9Cr0uu1FcfvhXHlcQRNZuu2E2u0Kp75s2FtboK5iRHfrrlOLccc1HKMf4XFx1xHsehzZyI1sfRdcZX9N5/xWTEb/XurzwbRxMX2g9oTOt/+2Jsr1y4QFRVFK7+OkuwIITIsSXjSuWK2lmzu6cqOqyGM236HykWz07uSA0PW32RjT1ccspvzx867RMXE6uuYvdzFYqSAmcnrf0wavXGVxNv/xHz7tYrKZ0WzM61l/J1fG3q4su/GMzZcCGbukUCWdS4d5/2PGeEBsDA1ok7JnGy59ESf8MRoVTZdfMKmnu+uJ97N/39/GzoEIYRIFZLwpHOBz6OxsTSheZncWFuYsPjEQ31ykzOLCS+itGy4EEwD51wf1O79Z9EcuxtKuQJWrD4bpB/tecUzvxU/brjJzeAIiuSyJDxaq78bK0ITS03HHHgVtKLC/07Ga/tDRnheRGkJi9aS18qMGK3K9itP8SlkpX9/740QittaYJ/dPJFWhKE0a1eTXwaPpaxbuVTpLywslMZtqulfPwi8T/Mm7fh16AT+XT6fEWMHk+/lLrCuHb+kQ+svUiUuIYThScKTzl16FM6vW2+jKGBqpPBbw6JktzShnWceak49Te5sZpT5iAMGi9laMP9IIN+uvo5jbks6eeWN836urKZMbFqcPsuv6hYSAwNrFCCbuTFdF18iKkZFVVV+8S2UrM8XrtHSZdElorUqsapKxcLZ6Vgun/79Ned0O7aEAN3C5Td3iNVu7K0/QwigSYOWyToZWgiRfsmi5TTkU18tkVR3n0bSadEldvQpa+hQUk1mWbT8IvwFPfq2JSDwHlptLN98NYSmDVvxx+Rf2bp9PRGRkXh5lGf8qOkoikKzdjVxcS7L4aP7CI8IZ/L4Ofw5fRwXL5+jSYOW/PDtCO7cu0XbLg1xc3Hn7PlTOJVwZvL4uWSxzBJnhGfX3m2MmzSc6OgoChcsxqSxs8iaNRsjxw1h6/b1GBsbU61ybYYNSf6FpADXb16hRYe6nNh3A0VRUuQqjE9NFi0L8enI1RJCZCI792whbx47dm44wZ7Np6hRtS6gm97ZsvoQezafIjIqgq07NujrmJmasXXNYT5v251OPZszZvif7N50iiUrF/DkaTAA125cpkv7XuzbepZs2ayYt9A/Tr/BT4KYOHU0yxZs4b+1Rynj6on/nP/x5Gkwm7auYc/m0+zaeJIBXw2JF/OHXFXxptXrl9KkQUsU5XX+sH7zKqrVd+eLPq25H3D3o79HIUT6IwmPiKdADotMNbqTmZRycmHP/u2MHPsDh47uw9oqOwD7D+3C168iVeuVZd/BXVy+ekFfp27Nhi/ruuJUwpm8eewwNzenUIEiBDzQJQ0OdgXwLlcJgBZN2nP42P44/R4/dZgr1y7SqNVn1GjoydKVf3P3/m2srbJjbm7O14O7s2HLKiwtssSL+dVBhm//vH1q89tWr19Ks0at9a/r1GzIsd3X2LXxJFUr1aTv910/4hsUQqRXsoZHiEykWBFHtq09wvZdmxgz4WeqVKxBnx7fMejnvmxdfQgH+wL8PmkEUVGR+jqvrpUwMjLS//rV65gY3TUTb46iJPRaVVU+q1SLGZMWxotp88qD7D2wg3WbVzB7wTRW/rMtzvsfclXFK+cvniYmJoYyrp76ZzlzvF643771F4wY+0OCdYUQGZMkPEJkIoEPA7CxyUmLpu2xtrbhnyVz9MlNzpy2vHgRxrpNK2lUz++D2r0XcIejJw7i5VGBlesW4/NytOcVz7I+/PBLP27eukaRwsV5Ef6CwIf3yZfHnvCIcGpVr4d3uYp4V4t/zMHHXEa6ct2SOKM7AA8fPSBvHjsAtvy3jhLFS35Qm0KI9E0SngymxKjDXP3RJ1X7vPs0kmpTTlHU1pJtvcsQqYml+dxzRMWoaGNVGjjn4rsaBQBoNvscYdFaAIJfaCjrkI05bRP/i2fpqUdM2q27YLJ/VQdalc2TaPmn4Rp6L7vK3ZAoCtiY49/KERtLE9acC2Lc9jsUs7VkQftSKfDJ05+Ll88xfMwgjIyMMDUxZeyIKWS3tqFD6y+oWq8seWzz4u7m+f6G3lK8qBNzF05nwOAeOBYvRaf2ca+DsM2Vm0njZtPr6w5ERUcBMPibEWTLasXnPf2IiopEVVWGD/k9RT7n2o3LWTR7bZxnM+dP0S+Otsmekz/HzU6RvoQQ6YPs0kpDUmKXlqESnjd3damqSnh0LFnNjdFoY2k2+zzD6xXGs4BVnHrd/71MnZI5aVk29zvbfhquof5fZ9nYwxVFUag344z+Kox3+XXrbWwsTfiqigNT9t7nWUQMP9bRbY8/cPMZ/gcC4iU8mWWX1qdw594tOnRryp7NpwwdSronu7SE+HRk0XIaNnrbbeYdDtS//mPnXfz3B/AiSkureeep63+GmlNPseXSk3h1D9x8xuf/XNS//nHDDZacfATAmYAwms85h6//GdotuMDD0OgUjVtRFLKa6y4ajdGqaGJV3lrSQWhkDPtvPsO3ZPyrJ960+/ozqhTNTo4spthYmlClaHZ2XQtJtM6WS0/0SVTLsrnZnMD3I4QQInORKa00rLGLLb9suklnH91Be+vOB/NPx1KYmxgxu40TVhYmPHmhodGss9RxyhFvoWhCNNpYftp4k7ltS5IrqylrzgUxdvsdJjQtHqfcyjOPmb4/IF79wjktmNna6b39aGNVfGec4daTSDp75cMjf9zRnc2XnlKpaHb9TejvEvg8Os4pynbW5gQ+TzxBC3qh0d8PliebKUEvMvYIi6EVzF9YRneEEGmeJDxpmItdVoJexBD4PJrgcA3ZLUxwyG6ORhvLmO13OHw7FEXRJQWPwzTkefmXfGKuB0Vy+VEEbRboth3HxqoJ1vNzy42f27unmt7H2EhhW+8yPIuI4Yt/L3PpYTgl877ecrzmbBBtPRNfi5MSFEWJdw+YEEKIzEcSnjSuYemcbLgQzKMwDY1ddNtqV54JIvhFDJt6umJqbITPxBNxLgcFMDFSeHN5VlSM7oWKimNuS9Z1T/yyzeSO8LyS3dKESkWs2XUtRJ/wPHmh4eT9MGa1eX87+azNOHDzmf71g+dRVCySPdE6tllNeRgaTV4rMx6GRpMrq2mS4xVCCJExyRqeNK6xiy1rzgWx4UIwDUvrEp7QSC22WU0xNTZi/81n3AuJilfPwcacK48jiIqJ5VlEDPtu6JKGYrkseRKu4djdUEA3xXX5UXi8+n5uudnWu0y8n6QkO8EvNDyL0J3PEqHRsuf6M4rZWurfX38hmFqOObAwff2/38l7ofRbeTVeW1WLZWfP9WeERMQQEhHDnuvPqFpMl/D0W3mVk/dC49Wp45SDZaceA7Ds1GPqlsz53pgziyKuNqne5517tyjkbEWNhq93f+3YvYWKtUrjU70kf/q//yqJ+YtmULVeWWo09KRRq6pxDkYE3bb4Iq42TJs5IclxDRn+dZzv4+CRvdRq7IW9owXrNq3QP791+zo1Gnoa5LsTQqQcGeFJ45zyZOFFlJZ8Vmb6dSl+brZ0WnSJmlNP4WafjeJvJBOvOGQ3p1HpXNSYepqCOcxxscsKgJmJETNaOfHzpps8j9SijVXpVt4OpzzxT7j9WA9Do/l61TViVYhVVRqVzkVtp9eLk9eeC6ZPZfs4de4/i8bCJH7+nSOLKV9XzU+Dv84AMKBafnJk0Y3YXHwYrv9O3tSnigO9ll5h8YlH5Lcxx79liRT7bOLjFCpYTH+WjlarZfCwfiydvwn7fPmp26w8dWs2xKmE8zvr+zVqS6d2uq3um/9bxy+jvuffea+vv/hl1PfUrOqb5HhOnTnGs+dP4zxzsC/ApHGzmf5W0lS4kC52SXiESN8k4UkHtr91zUPOrKbvnJJ6c0v6T3UK8VOd+LeVu9hlZWVXl5QN8g3O+bKytXeZd76/vEvpeM9O3guls3e+BEpDG488tPGIu94nNDKGIjkt4ixofiVnFlOWdo7fR0YzctwQHOzy07XjlwD8PmkEWbNko1O7Hnze049nz5+i0WgY/M0I6tVuHKfu/kO7mTZrAv/MWgPAD8P6UcbFkzYtOnH67HF+Gf09L16EkTOnLX+Om60/sC8lnDh9hCKFilG4YFEAmjZszeb/1iWa8FhZWet/HR7+Is4C/Y1b11Awf2GyZMmapP61Wi3DxwzG/39/s3HrGv3zgvkLA7oTpIUQGY8kPCLZjIwUnkdqqT39NNsSSXQSM7Ru4Q8qb2Vhwl8fsJYIYM25ICbuuoerXdL+YkzrmjZoydBfv9UnPGs3LuffuRswN7dg3vTlWFlZE/wkiPrNK+Nbq1HSdvFpNAwZ/jXzZ6zENlduVq9fyug/hjJp7Kw45ZavWcS0mX/Eq1+kUHFmT12SaB+BDwOwt8uvf22fz4ETp4+8N7Y5f0/Df84kNNHRrFi4FYAXL8KY8tfvLJu/mWmzkjadNXvBVOrWapiiSZwQIu2ThEckm0N2c459++Gn86a2Ji62NHGxNXQYKca1tDtBwY8JfBhA8JPHZLe2wcG+ABqNhtF//MTBI3sxMjIi8OF9Hgc9JE/uhEfQ3nTtxmUuXT1Pq0666SGtVptgYtCiSTtaNGmX4p8pMV07fknXjl+yYu1iJk4dzeTxc/l90gh6dulP1qzZktRG4MMA1m1awapF2z9xtEKItEYSngzoj513yWpmTK9K9u8vnEY8i4hh1dmgd05riYQ1qtecdZtW8CjoIU0atARgxZpFBAUHsW3NEUxNTSn3WXEi37gMFMDExBg19vXOvlfvq6g4lXBm4/J9ifabnBGefHntCXhwT/86IPA++fI6JP5B39CsYWsGDf0K0E2Prd+8kpFjf+DZ8xCMjIwwNzfni8/7JFj37IVT3Lx9nfI1dNeZRESE41O9JId3Xkpy/0KI9EkSHpEmPI+MYcHRQEl4PlCTBi35dkgvnjwNZvVi3ajF89Bn2ObKjampKfsO7uLu/dvx6uW3L8SVaxeJiooiMiqCvQd24uNZieJFnAgODtJfBKrRaLh+8wolHeOuiUrOCI+7mxc3bl3j9t2b2OV1YPX6JUyf+DcAv/7+Ix5uXtSv2zROnRs3r1K0iG7x+badGylaWHdQ5tolu/RlXq1hepXsNO9Qhynj52KX73UyVbt6fc4dfp1sFXG1kWRHTkIGlgAAIABJREFUiExCEp50btmpx8w4oDsvp1TeLExuHndH0j/HHvLP8YdEa1WK5LTgT7/iWJoZs+58MBN33cVIUbC2MGZlVxcuPwrnm9XXiNaqqCr81dqRorni7wBLqoO3nvHzplsAKMDKri5kMzdm+r77rDsfTLRWxbdkTr6rUYDR/93h9pNIak8/zWdFs/NTnUL8uvU2O6+FoAD9quaniYstD0Oj6b3sCqFRuh1mvzUsik8hawavu8HpgDAiNbFxLivN6Eo6libsRSj58trrp56aN2lHxx5NqVqvLGVdPSlRLP7lrA72BWhcvwVV65WlYIHCuDrrFsabmZkxe+q//DhiAM9Dn6HVauneuW+8hCc5TExM+O2XSbTp3ABtrJa2LTr/n737Do+qSh84/j1TMmmT3kMSQiAhtITQuyCCWECKFCuuHVHBXfvq7s9eAAEVGxbWBiggiALSRIrSCT2BkEAKCaT3yZT7+2PCYEghIcAk4Xyex0dm5t573juByTunvbbrH0k4yPDrb6l2zudfz2Pztg1oNBrc3TyZ++4XdbZhsVhIOZmEh0f9tyTYu38n9z16O/kFefy24RfenfMKf6yOb9jNSZLUZMnioU1IQ4uHJpwp5f6FCay4vxNeLlrySo14OmurDGnllhrxqlzG/fb6U/i6aPlH70Cu/3Af39wdTaCbjoIyE+5OGv79SzJxIa6M6eJLhcmCWVFw0qqrtPnI4kSScsqqxfJQn6BqRUDv/fYoUwcE0SPUjRKDGZ3Gum/QL4dzePvWNigKTP7+KFP6BRPs7lClAOkvh3P4emcW394dTW5lAdGVD3Zm2f5sDCYLTw5qhdmiUGa04KpT2+7dbFGYsOAwr4xoTYeA+k9OlsVDr5yGFBedMPkmFn31a6PbPJJwkO9//IpXXpzR6GudE97Zg+QDdddxayxZPFSSrhzZw9OMbT1RwC0dvPGq3En43P40f5dwppR31qdSWG6ipMLCoLbWvUS6h7oxfVkSt3b0ZkQH67fgbiGuzP0jndMFFYzo4FVj787H4yPrHV+PUD3/t/oko7v4MCLaiyB3HZuS8tmUVMCwj6376pRWmEnOKSPYvep+OjtOFnFbZx/UKoGvqwO9w9yITy8mNtiVfy4/jsmiMLy9l21/oZ8P5fDt7jOYLQpZRRUcO1vWoIRHunLUKjVFRQUMuaWbbS+e2lyOZAcgOqrTZUt2Uk4m8Y/HxuPr439ZridJkn3IhKeFm74sic8nRdExwIVFe8/wZ0ohAG/f2oY9aUWsT8xjxCcHWPVwZ0Z38aVrKz3rE/O4+5ujvH1rG/q3qVrGoSE9PFMHBHN9pAcbEvO57fODfHd3BxQFpvYP5u4eVX95pOZVnVRbm96t3VhyXyfWJ+Yx/afjPNQniF5hej7ZlsEvD3XBw0nDtGXHKb+g1IZ0fo7LlAefuqrtBgeFsHdr8kWPW/DdJzg5OjN+zN31vva+/btYvOwb3vjP7DqPu3ncAH75cXO9r/t35zYelCSpeZMJTzPWr4079y9M4KG+gXg5nx/S+rviCjP+rg4YzRaW7c8mwM3ak5KSW05cKz1xrfRsPJZPRkEFReVmwjx13N87kPQCA0eySqslPA3p4UnJLSfa34Vofxf2ZRRzPLuM69p68O6GVMZ08cFFp+Z0oQGtSoWLTk2xwWw7t1eYnm92ZXF7rC/5ZSa2nyzkpWFhpOUbCHRz4M7u/lSYLRw4XUyHAGectGrcdGrOFlew8Vg+fVq71RGZ1BSd20n5QiaTCY2m5o+q2C7die3S/aLXvtRkR5KklkMmPM1YlJ8zTwwMZtyXh1AJQadAF2aPblvlmKcHh3DLZwfwdtHQNVhPcYU1qXjtt5Mk55ShAP3D3ekY4MyHWzJYEn8WjVrg56rl8QH1Xypck/l/nmZbSgEqIYj0dWJwOw90GhXHzpYxcv4BAJwd1Lw/th2tvRzpEapnyIf7GNzWg38PC2N3ahE3fBSPAF4cFoaf3oHF+87w8dYMNCqBi4OaOWPaEurpSKdAFwZ+sI8gNwd6hOobFXdLsHjp18ybPwshBB3ad+bDmQuqvP71wvl8s3A+FcYKwsPa8sHMr3B2cmbFrz8yY+5rqNUq3PTuLF+4kaOJh3jy2QcwGiuwWCx88eFi24qphrJYLPS8LpL1K3fh7mYdXu09JJoVi39nwbef2HqgRt9xPR2jY9ixayujb51I7579mf7cQ6hUKgb1G8r6TWv4Y/W+KjtGvzvnFdIyTnEqNZm0jFQemvw4D05+HKg6/+b9T97lx5++RaVSMWTQjbz0zBu1vh+SJLUcMuFp5sbH+jE+tmrZhX8OPr9C6d6eAdxbw1LvmiqVTx0QzNRGJjl/99rN4TU+/0CfQB7oU30zuw/HVe09eml4a14aXvWYmu4XqJboXcuOJh7ivQ/fZOUPf+Dt5UNefm61Y24ePpq7Jz4AwJszX+a7xV/wwL1Tmfn+ayz66hcCA4IpKLQmCAu++5QHJz/OuFF3UFFRgdlirna9Bx+/g6TkhGrPP/KPaVWGqFQqFcOH3sqvv/3EpHGT2b1vO62CQ/GrYX6M0VjBb8u3AzDwxlhmvvERPeL68Oo7L9R678eTElj67TqKS4rod0NHJt/5CFrt+V7P9b+vZvXaFaxaug1nJ2fbe1Pb+yFJUsshEx5JamG2/LmRW0eMxdvLuqu0Zw1Ls48mHuKtWS9TUJhPSWkJgwfcAEDPbn154pn7GXnTOG4ePhqA7nG9mTPvLU5npnPzsNtq7N357P3v6h3fbTffzsz3X2fSuMn8tHKxbcPEC426eTyANcaSInrEWVcwjhk5kbUbap7cPHTwTeh0OnQ6HT7efpzNzqpSxuKPbeuZOO5eW+/NufemtvdDkqSWQyY8knQNeuKZ+1nw8Y90jI5h4Y8L2LZ9EwDvvjaP3fu2s27jKoaN6sVvy7czduQkusX0ZO3GX7nj/pG8+9o8BvQdXOV69e3hAege14fkk0lk55xl1doVTH+s5h6bSxlS0jmcLyarUqkxmU31Oq+290OSpJZDJjyS1ML07zOY+x69nUfun4aXpzd5+bnVenlKSorw8w3EaDSyZMX3BPpby5CknEyiW2wvusX2YsOm1WScTqWwqICw0DY8OPlx0jNSOZywv1rC05AeHiEENw0bxX/e+BeREe3x8vSu83h3Nw9cXPTs3redbrG9+Gnl4nq3daFB/YYy8/3XGDvqDtuQlqeHV63vhyRJLYdMeCSphWkf2ZFpU57jtknXo1ar6NwhttrOxM9O/y8jxvbD28uHuJielJQUAfB/bz3HiZRjKAoM6DuYjtExtkm+Go0GP58AnpzyXKNjHHXz7Qwf3Ye573xer+Pfe+sT/vnCI6hUKvr0HIib/tJW4Q0ZNJyDR+IZfltvtFot1183ghf/9Vqt74ckSS2H3Gm5CXHUqjINJkXubmYHOo3IKjdaLnshL7nT8uVRUlJsq4g+9+N3yDpzmtdffs/OUV1+cqdlSbpyZA9PE3IlfuFKUkuwduOvzP34bUwmMyHBocypZ8+QJEnSObKHR5KuINnDIzWE7OGRpCtHZe8AJEmSJEmSrjSZ8EiSJEmS1OLJhEeSJEmSpBZPTlqWpCvIUeeY5R+hlSvvpHpx1Dlm2TsGSWqp5KRlSWrmhBAOwHvADcBYRVEO2DmkFkEI4QjMBQYAYxRFOWLnkCRJagQ5pCVJzZgQohWwCQgGeshk5/JRFKVcUZSHgHeBP4QQNRf9kiSpWZAJjyQ1U0KIIcBOYDnWHogCO4fUIimK8gUwHHhbCDFTCKG92DmSJDU9ckhLkpoZIYQAngamA3cpirLeziFdE4QQXsC3gDMwQVGUTDuHJElSA8geHklqRoQQ7sASYAzQUyY7V4+iKLnAzcBGYJcQor+dQ5IkqQFkwiNJzYQQohPWIaxMYJCiKKl2DumaoyiKRVGU/wIPAkuEEE9W9rhJktTEySEtSWoGhBCTsK4Y+qeiKP+zdzwSCCHCsfa2JQAPKopSbOeQJEmqg+zhkaQmTAjhIISYA7wKDJXJTtOhKEoy0A8oA7YLIaLsHJIkSXWQCY8kNVFCiCCs80XaYF1yHm/nkKQLKIpSBtwPzAY2CyHG2DkkSZJqIRMeSWqChBCDgF3AKmCUoih5dg5JqoVi9RnWCc2zhBBvCyHkLvaS1MTIOTyS1IRUToB9Cuuy83sURfnNziFJDSCE8AG+w1q2Z5KiKLJUhCQ1EbKHR5KaCCGEHlgMTAR6yWSn+VEUJRsYAWzFunS9j51DkiSpkkx4JKkJEEJEAzuAXGCAoign7RySdIkURTErivISMAVYLoSYKpeuS5L9ySEtSbIzIcR44EPgGUVRvrR3PNLlI4Roi3Xp+gHgYUVRSuwckiRds2QPjyTZiRBCK4SYBbwFDJfJTsujKMpxoA9gAf4UQrSzc0iSdM2SCY8k2YEQIgBYD7QHuiuKssfOIUlXiKIopcC9wEfAViHEKDuHJEnXJJnwSNJVVlmDaTfWhOeWyhpNUgtWuXT9I+BW4H0hxBtCCLW945Kka4mcwyNJV0nlxNUngBeAyYqirLJzSJIdCCF8gYVYh7nuUBTlrJ1DkqRrguzhkaSrQAjhCnyPdWijt0x2rl2VCc5wrBtL7hJC9LRzSJJ0TZAJjyRdYZU1lrYDpUC/yhpM0jVMURSToijPA08CK4UQj8il65J0ZckhLUm6goQQY4GPsQ5jzVfkPzjpApUrt5Zindc1pXKSsyRJl5ns4ZGkK0AIoRFCvAPMBG5SFOUzmexINVEU5RjQG9AC24QQEXYOSZJaJJnwSNJlJoTwB9YCMViXnO+0c0hSE1e5IeFdwHysSc8tdg5JklocmfBI0mVUWTtpF7AFa89Otp1DkpqJyqXrHwCjgY+EEK/IpeuSdPnIOTySdBlUTjh9DHgZuF9RlJ/tHJLUjFX2Ei4CDFiXrufYOSRJavZkD48kNZIQwgX4GngA6COTHamxFEXJAoYC8cBuIUR3O4ckSc2eTHgkqREqV9j8BZiBvoqiJNk5JKmFqFy6/gzwT2CVEOIBe8ckSc2ZHNKSpEtUWRPpM6zDWJ/IVVjSlSKEaI916fqfwFRFUcrsHJIkNTuyh0eSGqhyyfmbwPvArYqifCyTHelKUhTlKNATcAG2CCHC7RySJDU7MuGRpAaorIO0Gusvn26Komy3c0jSNUJRlGJgEtb5Yn8JIUbYOSRJalZkwiNJ9SSE6IV1N9ydwHBZ9FG62iqXrs8GxgHzhRD/EULIz3FJqgc5h0eSLqJyyfnDwCvAg4qiLLdzSJKEECIQ69L1IuBuRVFy7RySJDVp8puBJNVBCOEMfIV1j51+MtmRmgpFUU4D1wMJWKuud7VzSJLUpMmER5JqUVnT6E9AA/SurHkkSU2GoihGRVGeAp4DfhNC3GfvmCSpqZJDWpJUg8paRl9gHcb6UK7Ckpo6IUQHrEvXNwFPKIpisHNIktSkyIRHkv6msnbRf4HJwARFUbbZNSBJagAhhBvWRD0UGKcoyik7hyRJTYYc0pKuaUKI1kKIyMo/ewO/AgOwVjmXyY7UrCiKUgjcjnUy8w4hxA1g2ztqiF2DkyQ7kwmPdK37BOhdWatoN9baRUMraxlJUrNTuXR9JjABWCCEeBFwABYLIdrYNzpJsh85pCVdsyqTnGXAa5X/PaIoyhL7RiVJl48QIhhYDOQARwF3RVEetm9UkmQfMuGRrllCiGVAAOAOPAgUK4oSb9+oJOnyEUL4Y/07fj9wC+ANdFAUJd2ugUmSHcghLemaJIToB9wGtAbcgJXA8/aMSZKugEHAj8A/gArAFfjIrhFJkp1o7B2AJNmJM9YJyguwzt05IZeeSy2NoiiLsc7d8QDigJuwJj2SdM2RQ1qSJEmSJLV4ckhLkiRJkqQWTw5pNYLaUZtpMZj87R2H1PSodJosc7kxwN5xSM2LVu2YabIY5GeKdFEalS7LaC6XnzENIIe0GkEIodx8eoa9w5CaoF8C/4WiKMLecUjNixBCeW1ghr3DkJqBf/8RJD9jGkgOaUmSJEmS1OLJhEeSJEmSpBZPJjx2lrpoJ+WZBRc9Lv7JhZxe2fA98U4u2Eba4l3Vni9NzWXTde8CUHAwnTPrj9heS5yxhqSPfr/otRVF4a9xH2EsKm9wXBf6a/wnGPNLG32d+tgx6TPWRP2bnXd/XudxGSv2sWngO2wa9C57p3xre/6X4KfZPHQWm4fOYue9X1zpcCWpQfZkLqLQkHnR45YkTOPg2ZX1fr6xfj811/bnvPJU5u4aXK/ztqV9xt6sHxrd/l/pX7A78/tGX6c+liRMY8b2Xnyweygf7B7K6eKDNR63J3Mx7+3ox3s7+rEnc7Ht+fnxY5m9s7/t/OKK7KsSd0snJy3bWdqineijAnAMcL8i1w+7t+9Fjyk8lEFBfCp+10c36Npn1h/BrUMQWr3jpYZn02pcHClfbaPdtKH1Ol6xWDAVG9C6OTW4rTZTrsNcVsGpr/+q9ZiSE2dJen8DfVdMRevhjCG7yPaa2lHLgHVPNbhdSboa9mQtxt+lPW66pjWf9Y9Tc7ku9IkGnWNWTOzOWsiUuDWNbj8uYCKf7RtFt4BJ9T6n1JiHs9bzktq7sc1LdPK9pc5rbzw1i0e7rkIgmLf3RqK9h+Gk9QDg9vYfEqyPuaS2pZrJhOcyKk3NZcekz3Dv0oqCA+noo/yJnTsJtbMDBfFpHP7vCkwlBhy8XIiZM5G8nckUxKexb+p3qB219P35cU58tJGs3w5jLjfi2b01nd8dhxA1z0szZBex4475DPhtOoWHMtg8dBZDdr6IUytPNvZ+k4Eb/knSvI2oXXREPHodBfFpxD+1CADfQZEAWCpMJL6zBku5kbwdKUQ8bi2oXJyYxZ9j5lGWnk/4gwMIf2BAtfYzlu4l9K5etsdpi3dx4uNNIMAtOpDYD+4g/smFqBy1FB5Mx5BdTMx740n7YTd5u07iGRdKzJyJAPgP68i22z68aMJTmppL2qKdpC/dS4dXRuI/tEODf04+A9qRs+14ncec+nY7YZP7ofVwBkDno29wO5LUWHnlqSw4cAdBrl04XXwAP5coxkbNwUHtTHrRflad+C8V5hKctV6MjZzNycKdZBTF88PRx9CoHHk49mc2p31EQs5ajJZyQt26M6rdO7V+plyopjb0On/mx48lRN+VEwXbKDcVMjpyJq3de1FhLmVpwnSySo/i4xRBUUUWt7Z9g4PZKzFayvlg91D8nKO4Ifw5FMXMssR/kVq4C71DAHd1/BKtuuoXmBN5Wwhy7YxaWH9V5ZQls/zYs5QacxFCxcToTykwZLDh5AwcNW5klRylk++t+DtH82fGfEzmcu7o+AXeTq1xUDvj4RhCWuFeWrl1rfWejZZyDp39ld2Z3+GmC+D29h9c+g+wDsfyfifCY6AtoYrwGEhi3kZi/EZfkfYkmfBcdiVJZ+kyazxePcOJn76IlAXbCH9gAAf/vYzuX96HzseVjOX7SHhrFTHvTSDli61Ev3wrHrEhAITd1592Tw0DYN/U7ziz9jD+wzrW2JbOR4/FYMJYVE7u9hO4x7Qid3synoqCg48rameHKsfHT19Ex9dvw7tPBEde+RkAlYOGyGeGUxCfSqc3xgDWIa3i42fo/eOjmIsN/D7gbcLu7YtKq65yvbwdyXR+ZywARQmZHJ+zjr4rHsfB24WKvPPDU8aCMvqufJysNYfYde+X9FkxlS4z/dly4xwKDqbj3ikYrYczlgozFbklOHi5VGnHUmEia80hTn27nYqcYlrd3p1+P1vbAUiat5GMpXurvT9evdvQ8bXb6veDu0BJ0lkAto38AMVsod0/h+E3pL01HoOJLcNnIzQqIqYOIWBEp0tqQ5LqI7ssidGRMwlz78nShOnsyFhAn+AHWJn0Ind1+AoXB28OnFnO2pS3GBP1Hn9lfMmINi/begd6B93HkDBrj+QPRx8nIXct7b2HXbRds8VYaxsAFsXMo11/JSF3PRtOzuQfXRazI2MBjhp3nuy+iaySo3y4+wYAhoe/yPb0L5nabR1gTeRyypIZHz2P0ZEzWHj4YQ5l/0qs/9gqMZwq3EmQa2fb4x+OTmVgyFQ6+IzAaClHUSwUGDLILD7Mk9034aT1YOaOPnQPmMSjXX9lW/p8/sr4gpsjXgEgWB9DSuH2GhOe08WH2J35HYm5G2nndR0j2rxMkL4LAGdLj7PoyCM1vk/3xyzBSVO9h35dyltsPPUeER79GRb+AhqVrsrrRYZM3HVBtsfuukCK/jYUuTRhOkKo6OhzM9eFTqt3kirVTiY8l5ljkAdePcMBCB4bR8r8LfgNjqL4aCY7Jn4KgGK2oPNzq/H8nK3HOTFvI+YyIxX5pbhGBdSa8AB4dm9N3o5kcv86QdsnrufsxgQURcGrV3iV44wFZRgLyvDuE2GNbVw3zmw4Wut1/a6PRq3ToNZpcPB2xXC2CKcgjyrHVOSXoXG1DmdlbzlOwC0xtiTEwdPZdpz/DR0QQuAWHYiDrx636EAA9FEBlKXm4d4pGACdjyvlWYXVEp4tN85BMZnpMnsCnnFh1WKNmDKYiCn1mw9QX4rZQsmJbHoveZTy0/n8OXoeAzf8C627E0N2vohjoDulJ3P4a9zH6KMDcGntc1nbl6Rz3HVBhLn3BCDGbyx/ZXxOO6/BnClJ4MsDEwBQFAuuDn41np+cv43NafMwmssoNeXj5xxZr4QnuyypzjY6+IwAINi1C/nlaQCcLNxBn+AHAPB3aY+/a+3D5J6OoQS6Wr8sBOk7k1eeWu2Yoooz+Dq3A8BgKqbQkGlrV6s6P5QerI9Br7NuX+TlGEZbz0HWGJzbk5y/1Xaci9aH7NLqvbtb0z5hbfJbDG/zb57o/nK15MTXua0tWauPYa2fx9XBD7NSwU+Jz/BH6oe2pLM+xrf/ADddIAZTMd8dfoB9Z36kq//t9T5fqplMeC6zakm4ECgKuEYF0G/l43Weay43cvD5pfRfPQ2nYA8SZ6zBYjDWeY5X7zbkbk+mLC0P/xs7kvThRhDgN7Rh83EupNKd/6sh1ALFbKl2jNCoUCwWhKruue8qXWXPkEqgcjjfSyRUAsVstj02lxtRO2qrnd95xjhOfbOdfVO/J2BEJ1pN6IE+8vzebFeih8cx0B2PuFBUWjXOod64tPGlJPksHrGhOAZav805h3nj3TeCwoPpMuGRrqBqHyooKPg5R/Fw15/rPNNoKWfF8ed5tOsqPByDWZ8yA5PFUK9WL9bGuaRACBUWxVSva/6dWnW+B1qFGqNSffGDVuVYr3j/nqAIobogtvOfMSZLORpV9TmHMX5jMStGdp7+huT8bcQFTKCd1xDbUFpDe3jOJV8aoSMuYAJb0z6udp5eF0By/p+2xwWG04R79AHATWf9UqjTuBLjN5q0or0y4bkM5Cqty6wsPZ+8XSkAZCzbi1ev1rhG+FKRU2x73mI0U5Rg7brUuOowlVj/QVsM1g8NBy8XTCUGTq/cf9H2vHqHk75kD87hvgiVCq2HM2fWH7X1Mp2jdXdC6+5E7vZkANKX7rG9pnHRYSqu34fg37lG+FJ6MhcAn/5tyVwZT0VuCUCVIa36UBTF2osUUn2CoGdcGDGzxjNg7XRcInzZ/8/FbL15LgX7rd8qI6YMZsC6p6r9d6nJDoD/jZ3I2ZZkvZecEkpOnMU51Btjfinmyp9TRU4JuTtTcG0nN8aVrpwCQzqnCq0rLfefXUaYe098nCIoMebYnjdbjGSVJACgU7tgMBcD2JIFF60XBnMJh7J/qXe7dbVRm1C3Hhw8a02QzpQkklVyvhdZpdJittT9Be5Cvs7tyClLAay//N10gRzOXgVY763C3LDPmZyyE/i7RFV73tXBh4EhU3mi+0b6BD/IwbO/MHtnf7amfVIZh7WHp6b/ahrOKjJkAdbPtSM5q/Groc12ntdxPG8TZcZ8yoz5HM/bRDvP6zArJkqMOYD1PU/IXYe/c/sG3adUM9nDc5m5RPiS8uU24qcvRh/pT9g9fVE5aIj77B4O//snjEXlKCYL4Q8OQB8VQKvxPTj47BLbpOXQO3vxx+AZ6Pz0tnk9dXEO8QIUvHu3AcCrZzjlpwtsk23/Lua9CcQ/tQghBD6Vk5YBvPu1JemDDWweOss2abk+/K6PJmdbEi7hPuijAmj75PX8OWYeQq3CvVOwbUJyfRTEp+EZF4ZKo671GI2LjtA7ehF6Ry+KErPqfe0LbRv1ISXHz2AqNbA+7lW6zByP7+AoEt5ZjUdMCP7DO+I7OIrsTYlsGvgOQq0i+qVbcPByIXdnCgef+RFUAiwKEVMHo49qWqthpJbFxymC7RlfsSzhKXxdIukZeA8alQOTOnzKyuMvYTAXYVFM9Al+EH+XKOL8J7Di2LO2ScvdA+5k7u4h6B18G7Tqp642atMraDJLEp5kzq5B+Dq1xc85Ep3GOuG/R8CdfLD7egJdO3ND+HP1iqGd1xB+PHq+Z3xc+7ksT3yW9SdnoBYaJkZ/Wu/7AThZuJMhYf+s85hwj96Ee/Sm3FREWlH1nuP6WHx0KqXGHBQUAl07MrLd2wCkF8Wz4/T/GB05E2etJ4PDpvHR3psAGBw2HWetJxXmUhYcuAOzYkJRzER4DKB74J2XFIdUlSwt0QgXlpYoTc1l592fM+j3p+0Y1dVTnlVI/BPf02vRw42+1qF//4T/8I74DGh3GSKzP1laQroUF5aWyCtP5euD9/BE9412jKr+LIoZs2JEq3IkpyyFL/dPYFqPzWhUDhc/uRbfHvoHw9v8Gx+nNo2KLaP4AFvTPuX29u836jpNhSwt0XCyh0e6ZI7+boTc2QtjUXmj9+LRtw9oMcmOJF2rjOYyPt8/DotiQkFhZLs3G5XsAAwLf4Eiw5lGJzylxlyGtn6mUdeQmjfZw9MIsnioVBvZwyNdClk8VKov2cPTcLIo01RXAAAgAElEQVSH5xqS8M5qvHu3wWdgZK3HZK05RFFiFm0bMJenJgXxacRPW4i53Ijf9dF0eHVUtX0kio+dIX76IgoPpBH53AgiHr3O9tqGHq+jcdUh1CqEWkX/NdOs9/D2arLWHEKoBA7ersTMmXDFdqmWJKnh1qW8Q2v33rT1HFjrMUdy1nCmJJFBoXWvXL2Y9KL9LE2YhtFSTqTXEG6OeLXa54yiKPyS9BKJuRvQqp0YG/mebX+dl/5ohb+LdUKwhy6YuzotaFQ8UtMmE55rSNQzN170GP/hHfEfXvu+P/V14LkldJ5xOx5xoey8cz5nNxytVrpC6+lEx9dGkbnqUI3X6P3jo7Z9fc5pM+U6op613kfy/M0cm7WWzu+Ma3S8kiRdHvUZNor2Hk609/BGt7Xi+HPcFvkurfRx/O/gXRzL20ikV9Uva4l5G8gpS2Z6j62kFe1hxfHneaSrdbWaVuXYoP11pOZNJjwt0LFZa0lfugcHLxecgj1w69KKiEevI/7JhfjdEE3gLTFs6PE6rcZ3J+u3wygmM3Gf3oNrOz9SF+2ssuvypSjPKsRUVI5nN+smgcG3dydr9aFqCY/OR4/OR8+ZdUdqukyN/j5XyFxaUcPGR5IkXQ0bT75H/JklOGu9cdcFEezahf4hj7IkYRpRXkPp5HsLM7b3pKv/7RzNXYvFYmJih0/wdW7HnsxFpBfHc2vbNy65/SJDFgZTESFu3QCI9R/H4ezV1RKeI9lriPW3lugJcetGuamAIkOWba8c6dohE54WJn/fKTJ/PcCAdU+hmMxsHjYbty6tajxW6+XCgLXTSflqKyc+/p0uM8fXet3srcc58p8V1Z5XOWnp93PVbuny0wU4/m1XZqdA93pVhK9CwPaJn4KAsLv7EHp3b9tLR99cRfqPu9DoHen946MNu64kSY2WVrSPQ9m/8Fi3dVgsJubtGU6wa5caj3XWevFY3G9sz/iKLWkfMzpyZq3XPZG/lV+T/lPtea3aiYdjq26AWFiRadugD6w7UhdVVK8SX1RRtYSDmy6IwopM9Dp/TBYD8/bciEpoGBjymG0XZ6llkglPC5O3IwX/4R0rdyzW4n9D7cU1A2+y1qhx79KKzF8P1nldn35tr2qF8L7Lp+IY6I4hu4jtEz7Fpa2vrSxG++dH0P75ERyfu56TX24l8unGd41LklR/pwp2Eu093FreQQVR3jfUemxHH+s+M0GuXTiU/Wud123j0e+qDjH9q9cO3HSB5Jad5Iv9t+PvEo23U+ur1r50dcmE5xqmcrD++IVKhWIy13lsQ3p4HAPdKc/Itz0uO13Q4InF58o36Hz0BIzoRP6+VFvCc07wmDh23DVfJjyS1ISdKyGhEuoqZR5q0pAeHjeHAAoNp22PCwwZ6B2qbwKqdwigwHB+5VuhIQO3yuPO9RB5OYUR7tGX08UHZcLTgsmEp4Xx7NmaA08vIeLxIShmC2fWHSbkrt4XP/EiGtLD4+jvhkbvSN7uk3jEhZL+wy5a39+/3m2ZSg1gUdC4OmIqNXB2UyLtplu/QZacOItLG18AMtccwrVtzQUTJUm6ckLde7D82DMMDH0ci2ImIXcdPQIavxtwQ3p49Dp/dBo9qYW7aaWPY1/Wj/QO/ke146K9h/FXxpd08b2NtKI96DRu6HX+lBnz0aqd0Kh01hIaBTsZ0GpKo+9BarpkwtPCeMSG4j+8A5uvn4mDjx59+8BGbwp4KTq9OYb4aQuxlJvwHRKF7xDr0s+TC7YBEHZvX8rPFLL1xjmYispBJUj5bDMDNz2NMbeEXf/4CgDFZCFodFf8Ks8/+vqvFCedQahUOLXyoPPbcoWWJF1trfSxtPcaxge7h+Kq9cHfpT06jdtVj2Nk2zdZYluWPphIT+uE5R0Z/wOgZ9A9RHpdT2Luembt7IuDyokxUe8BcLb0GMuPPYsQKhTFwoCQx/BzqX3LDqn5kxsPNkJT3XjQVGJA46LDXFrBn6Pn0fndcbjXMnFZujLkxoPSpWhOGw8azCXo1C5UmEuZHz+G29q9Y9vfRrry5MaDDSd7eFqgA0//SHFiFuZyI63Gd5fJjiRJl93yxKc5U5qIyWKgq/94mexITZ5MeFqgrvNkZV1Jkq6s8dHz7B2CJDWIyt4BSJIkSZIkXWmyh0dqkD/HzCP65VvxiA25am3umPQZ5WcKUUwWvHqF0+nNMQi1NVdP/nwLJ7/cilCr8BsaTfRLt1y1uCRJunzmx49lRJuXCdbHXLU2Fxy4g6KKM1gUE2Huvbi17RuohJrTxYdYcew5KswleDi24vb2H+Ko0V+1uKQrQyY8UpPX9dO70eodURSFPQ/8j9M/xxN0W1eytx4na80hBqz/J2qdBkN2kb1DlSSpGZkQ/QmOGj2KovD9kQc5ePZnuvjdxk+J/+LGNi8T7tGH3ZnfsyXto3rVCJOaNpnwNHOmUgN7Hvqa8tMFKGYL7abfQNCoWI7N+o2s3w5jLjfi2b01nd+11pL5c8w83DsFk7s9GVNpBbHvT+T43A0UHc0kaGQMUc+NoDQ1lx2TPsO9SysKDqSjj/Indu4k1M4OVdo++3sCiTN+w2Iw4dzam5jZE9C46Dj6+i/WiuYaNT6DIunwn1sbdY/nltUrJgsWo8lWP+vUgm20nToYtc7611jnI7+BSdLlUmEuZeGRhyk0nMaimBkcOo3OfqPYcHIWCTlrMVrKCXXrzqh27yCEYH78WIJcO5FSsB2juZSx7efyx6n3ySo5SiffkdwQ/ix55aksOHAHQa5dOF18AD+XKMZGzcFB7Vyl7WO5v7Ph5ExMigEvx9aMiXoPndqFNcmvczTnN1RCQ1vPgYxoU32TwoY412tjUUyYLRUIrJ8t2WUnaO1u3b8swmMgCw7eIROeFkAmPM3c2Q0JOPq70/ObBwAwFpYBEHZff9o9NQyAfVO/48zaw/gPs1ZBFw5q+q+ZRvJnm9k1+Sv6r5mG1sOZ3/u8SfhDAwEoSTpLl1nj8eoZTvz0RaQs2EbEo9fZ2q3IKeH47HX0WvwQGmcdSR9sIPmTTYRN7kfmqoMM2vwMQgiMBWXVYm7Irs3nbJ/4Kfn7UvEb0p7AW6yrQUpOZJO7PZmEt1ah0mmJ/s8teMSGXuI7KUnS3x3L3YjewZ97On0NQLmpEIDeQfcxJMy6CekPRx8nIXct7b2tnzVqoWVK3Gq2pc/n20P3MaXrapy0Hsza0Zd+rR4EILssidGRMwlz78nShOnsyFhA/5DzNfFKjDn8fmoO93VZhIPamT9SP2Br2if0DprMkexVPNl9M0IIykzV6/M1ZKfmc746MIm0on1Eeg6mo691SNzPJZIjOavp4DOCQ9krq+zULDVfMuFp5vTRgRz5v5858tpK/Id2wKt3GwByth7nxLyNmMuMVOSX4hoVYEt4zv1fHx2APsofR3/rhmHOoV6UZeSjdXfCMcgDr57hAASPjSNl/hb4W8KTt+ckRYlZ/DnyQwAsFSY8urdG4+aISqdh/1OL8RvaAf8bqlZIh0ury9Vr4UOYy43se+w7srccx3dQJBaTmYr8Uvr+8gQF+1LZ89DXDN7+AkJWUJekRvN3ac+qE//HmhOvEeV9A63dewGQnL+NzWnzMJrLKDXl4+ccaUt4zv3f37k9fs6Rtorkno6hFBgycNS4464LIsy9JwAxfmP5K+Nz+nM+4Ukt3MPZ0kQ+3TcSALNiJETfDZ3GDY3KkWWJTxHlfQNRXkOrxXwptbgmd/4eo6WcH45O5UT+Ftp6DmJM5CxWHn+J30/Npr33MNTC4eIXkpo8mfA0c64RvvT/bTpn1h8h4e3V+AxoS5spgzn4/FL6r56GU7AHiTPWYDEYbeecr6ElbH+2viBQTBbraxfmDBc+oSj4Doqk60d3VYup369PkrPlGKdX7ufkl1uqVTS/lB4eALWjFv/hHclacxDfQZE4BXoQcFNnhBB4dA1FqFRU5JSg83Gt9RqSJNWPj3MEU+LWkJi7gXUpb9PGoz8DQqaw4vjzPNp1FR6OwaxPmYHJYrCdo1HpABBCZfvzucfn62hV+3C54LFChOdAJkR/VC2mR7r+QlL+Fg6dXclf6V9yf8wPVV6/lB4eAK3KkWjv4RzJWUNbz0H4Orfjvi4LAcguTSIhd32t50rNh0x4mrnyzAK0Hs60GtcNrbsTqd9ux2IwAeDg5YKpxMDplfttw0D1VZaeT96uFDy7tyZj2V68erWu8rpHXBgHn19GSXI2LuE+mEoNlJ8uxDHADXNZBX7XR+PZozUbe79Z7doN6eExlRgwFRtw9HfDYjJzZv0RvHpZe578b+xIztbj+PRrS3HSWSxGEw7eLg26T0mSalZoyMRJ60Gs/1gcNW7szvzOlty4aL0wmEs4lP0LHX1ubtB1CwzpnCrcRahbd/afXWbr7TknRN+Nn4+/QE5ZMt5O4VSYSyk0nEavC8BoLiPK63rC3Howc0efatduSA+PwVxChakYvc4fs2IiIXcdrd2svVjFFdm4OvhgUSz8fmoOPQPvbtA9Sk2TTHiauaIjmRx5dSVCJRAaFZ3eGovW3YnQO3vxx+AZ6Pz0l7SE3CXCl5QvtxE/fTH6SH/C7ulb5XWdjysxcyaw99FvsFRYv7lFPXsjGlcduyZ/aU26FIUO/23chGVzaQW77v0CS4UZxWLBu19bQu+xftCFTOpJ/PTFbLruXVRaDTFzJsrhLEm6TLJKjrI6+VUEArXQMrLdWzhp3OkecCdzdw9B7+B7SUvIfZwi2J7xFcsSnsLXJZKegfdUed3FwZsxkbNZfGQKJqUCgKGtn0GnduWbw/dZky5FafSEZaO5lG8OTcakVKAoFtp49KVHkDWW/Wd/YnvGVwB08BlBnP/ERrUlNQ2yllYjNNVaWo1VmprLzrs/Z9DvT9s7lGZL1tKSLkVzqqV1KfLKU/n64D080X2jvUNp9mQtrYaTOy1LkiRJktTiyYRHqsY5xEv27kiSdNl5OobI3h3JbmTCI0mSJElSiycTHkmSJEmSWjy5SquFWR3xAjcmvXFV2yxNzWXTwHdwjfCzLTc/s+Eoh19ejmK2EHJHL9o+PqTOa5xcsI2TX21DqFWonR3o/O449FEB5O89xYGnfwRAURQi/zmMgJs613mt+KcWUxCfCgq4tPEhZs5ENC46TnzyB8mf/oH/8A50emPM5bl5SbpGvLKlLS/3P35V28wrT2XOrkH4OLWxLTdPzN3Ir0kvYVEsdAuYxKDQ2vfuAkjO/4tfT7xMVvERxkd/RCffixcYrr2o6EGWH3sOk6UcldAwsu2btHLryoEzy1mb8ja+zm25u9P/Lsu9S5efTHiky8I5zNuW7ChmC4deWEavRQ/hGOjOlhFz8B/WAX1UQK3nB42JI+xe69L3rDWHOPLfn+n5/YPoowLot/pJVBo15VmFbL5+Jn7DOqDSqGu9Vof/G2mrv3X4PytI+WIrbR8fQpuHB6L1cLImQ5IkNQtejmG2ZMeimPn5+Avc13khbrpAPt57E9Hew/Fziaz1fA/HYMZGzmZL2sf1brO2oqKrT7zGkLCniPQaQkLuelYnv8YDMUvo7DcKFwdftjagDenqkwlPE3b09V9wDPKg9X39AEicsQa1i46we/qwa/KXGPPLUExmIp+9kYAbO1U5N2fbcU58tIkeX98PwMEXluIeE0LIhB4UxKdx+L8rMJUYcPByIWbORFt5icshf+8pnFt74xzmDUDQqFiy1hyqM+E5l6AAmEorbJuv/r1gqcVgrGEL6NqvpSgK5nJjfU6RpGvKmuTXcdcF0TvoPgDWp8xAp3ahR9A9fHvoPspM+VgsJoa2foZonxurnHsifxtb0z629WT8fPwFgl1jiAuYQHrRflad+C8V5hKctV6MjZxtKy9xOaQV7cXbqTVeTmEAdPYdxZGcNXUmPJ6O1n3IhKj/DI7aiooKITCYigBrbTE3h8t3b9KVJxOeJixwZCyHX15uS3hOr4in5/cPodJp6PbFZLR6RypySth6y1z8h3es16Z7FqOZg/9eRvcv70Pn40rG8n0kvLWKmPcmVDkufckeTnz0e7XznVt7023+vXW2UZ5ZgFOwh+2xY6AH+XtPXjS2lC+3kvzJH1iMJnr/8Ijt+bw9J9k/fTFlaXnEvj+pzt6dc+KnLeTM+qO4Rvo3ulq7JLU0nX1H8mvSf2wJz8Hsn7m303doVDru6PA5jho9JcYcPtl7K+29h9frs8VsMbIy6UXu6vAVLg7elcM8bzEm6r0qx+3LWsqWtHnVzvd2CmdSh8/qbKPQkIm7Lsj22E0XSFrRnvrccoPVVFT0pohXWHBgEqtOvIKCwkOx1UvkSE2XTHiaMPfOwRiyiynPLKAipwSthzNOwR5YjGYS3vyV3L+SESpBeWYBhrNFOPpdvJemJOkMxUcz2THxU8A6/KSr4bzgsXEEj4277PdUl9b39aP1ff1IX7qHY7PXETt3EgCecWEM2vQ0RYlZxD+5EN8h7VE7auu8VszsiShmCwdfXEbGin2ETOxZ5/GSdC0Jcu1MSUU2hYZMSow5OGnc8XAMxmwxsjblTVIKtiMQFFZkUmw8i97B76LXzC5L4kxJAl8esH55UhQLrjWcF+s/hlj/pj+HrqaiojsyFnBTm/+jo+/NHDi7gmWJT/GPLovtHapUTzLhaeICb+3C6ZX7MZwpInCkdRv39KV7qMgpof+aaai0ajb0eN1WP+scoVajWM7von3udUUB16gA+q2se6JfY3p4HAPcKUvPtz0uP52PY4B7nef8XdBtsRx8bmm15/WR/mhcHCg6mlmvchlCrSJoVCwn5v0uEx5JukBH31s4lL2SooqzdPa1ViaPP7OUEmMOU7quRq3SMmN7zyrFQQFUQo2iWGyPz72uoODnHMXDXWsv0gmN6+Fx0wVQYDi/E3Wh4TRuDoF132gjXFhUdG/WD9wc8SoAnXxu5afEf12xtqXLTyY8TVzQqFj2/+sHjLkl9F46BQBTYTkOPq6otGqytx6nLC2v2nlOrTwpTszCbDBhKTeSvfkYnj3DcY3wpSKn2FYY1GI0U3LibLX5NY3p4XGPDaEkOZvSUzk4BriTsXwfXefdCcDR13/Fo2tItZVWJSfO4tLGF4Az647gEu4DYL1GkAcqjZrS1FyKj5/FOcQLgL9u/5jYuZNwDDyfTCmKQmlKDi7hPiiKQtZvh3Fpe/Fvp5J0rensO4qfjv2LUmMeD3RZAkC5uQhXrQ9qlZYT+VvJN6RVO89D14ozpYmYLAaMlnKS8rYQ5tYTH6cISow5tsKgZouR7LIT+LtEVTm/MT08wfpYcsqSyS07hZsugANnl3N7+w8B+C35DVrpu9LBZ0S9rzd75wCm9dhc5bm6ioq6OfiTXPAnbTz6ciJ/C95O4Zd0H5J9yISnidNHBWAuNqALcLdNLA4eE8fOe7/gj8EzcI9pVeMvdKdgDwJHxvDH4Bk4h3jh1ikYAJWDhrjP7uHwv3/CWFSOYrIQ/uCAOicUN5RKo6bTG6PZMekzFLNCq4k9bNcvOnoa/+Edqp2T8sVWsjcfQ6VVo3F3ImautVhf7vYUkj7YgEqrBiHo9OYYHLxdUCwWSpOz0Xo4V72QohD/5EJMReUoioJbhyA6vT32st2bJLUU/i5RVJhKcHMIsE0sjvEbzTcHJ/P+riEE6bvg69S22nkejsF08r2V93cNwcMxhCBX64IJjcqBSR0+ZeXxlzCYi7AoJvoEP1gt4WkMtdBwS9vXWXDwDiyKmW4BE23Xzyo5SnvvYdXOSSvax3eH7qfMlM/RnLVsODmDJ7r/TokxB6heS7KuoqKjIt/l16SXsShmNCodo9q9e9nuTbryZPHQRmipxUMbqiHFRrdP/JReCx9qdJtFR0+T+v1OOvzfyAadl7poJwXxqVd8Hx5ZPFS6FC29eGhDNaTY6FcHJjG58/f1vvbRnLXklZ+kT/ADjQnR5sLVa1eaLB7acHKnZanRhEqFqaiczUNnXfTYy5HsAOjbBzY42TnxyR8kvb8BjavjxQ+WJMnuBCrKTYV8sHvoRY9tSLID0N77hsuW7Bw4s5yfjz+Po6b+cxWlq0/28DSCvXp4zu3HE/HodVe97ath663v0+/nuidV1yT+yYX43RBN4C0xVyCqhpE9PNKlaCo9POf25ekf8qi9Q6nRjoz/oVU70dX/9nqfk14Uz96sH7il7Wt1HvfJvlt5OLbuiddNgezhaTg5h0eyC4vJXOt+OpeS7FwKxWxBqGUnpyQ1Nz0r59RcyKyYUIuaf60F62MI1l/8y1BzSHakSyMTniYubfEuTny8CQS4RQcS+8EdVV4/9c1fnPrmLyxGMy6tfYh9fxJqZwdO/xxP4szfEGoVWr0jfX56jKKETOKnLUIxmlEsCt3m32NbGdVQisXCxl5vMmDdU2jdnQDY2Pct+i5/DITg4LNLKEu3rh7r8MoovHqGkzhjDaUpOZSeysUp2IO204bWGM/f64ElfbCB9CV7QCXwG9Ke9i/eTMHBdA4+uwRzmRHnMG9i3htfbfJy9uZjHHnlZxSTBffYEDq9NRa1TsOGHq8TOCqG7E3HiHjsOoJu63pJ9y9JLcXerB/YkvYxAoG/SzS3t3+/yus7T3/LrtPfYFaMeDm1ZlzUXBzUzhw8+zMbTs5CJdTo1HoejF1GVkkCSxOnY7ZUoKAwqcNn+Di1uaS4LIqFWTt681i3tThVDhW9t6MfD8b+xPaMBbYeqPnxYwl07cjJgh108buN1u69WZb4TwSCtp4DSczdyBPdN1aZY7M+ZQYFhnRyy09RYEinb/ADtuGtv9cM+yP1A+KzliKEinZegxke/mKt74fU9MmEpwkrSsjk+Jx19F3xOA7eLlTklVY7JuCmzoTe1RuAhLdWcer7HYTf359js9bS63trLStjQRkAJ//3J+EPDCB4bByWChOKufpw5p6Hv6Yk6Wy158MfGkir8d1tj4VKhf/wjmSuOkDIxJ7k7TmJUytPdL569k75lvCHBuLVK5yytDy2T/qM6zY/Y72nxCz6Lp+K2knLwReX1RnPmfVHyFxziH6/PIHa2cF2//FPLKTja7fh3TeChHdWkzhzLR1fHWU7z1xuJH7aQnotfgTXCF/2Pf49pxZsI/yhgQA4eLowYO30Bv0sJKklyipJ4PdTc3godjkuWm9KjdW3uOjoM4IegdZtJdYmv83uzO/pE3w/G0++x+TO3+GmC6TMVADAztP/o0/QA8T6j8FkqUBRzNWut/DIw2SXJlV7vl+rh6sMUamEimjv4RzOXkW3gImkFu7B3TEYV4fqX9LMFiNT4lYDMHfXYG6LfJdQt+6sSX691ns/W3ac+7v8iMFczOydA+kZeC9q1fkNTRNzN3AkZw0Pd12Jg9rZ9t7U9n5ITZ9MeJqw7C3HCbglBgdvFwAcPKt/iyg6mknC26sxFZZhKjHge511iaZnj9bET1tI4K0xtj1vPLuFcXzOespP5xNwU+cae3fiPrm73vEFjorl+Ky1hEzsyemf9hFUuTFi9h+JFCdm2Y4zFZdjKrFuTuY/vCNqJ2294snefIyQCT1s9bQcPJ0xFpZhLCjDu28EAK3Gd2fPg19XOa8kybpXj2uEr+2YlC+32hKecxs4StK17kT+Fjr53IKL1lr3zlnrWe2YrJIE1qW8TbmpEIO5hHZe1wEQ6t6DJQnT6OQ7ko6Ve9+EuHVj06m5FFZk0MHnphp7dyZGf1Lv+Dr7jmTjqffoFjCRA2eX09l3VK3HAZSZCjCYiwl1s345i/EdTULOuhrPifIaikalQ6PS4ar1pth4tkrZiqS8zcT5T7T13px7b2p7P6SmTyY8zVz8tIV0//I+3DoGkbpoJ7nbrN+cOr8zjrw9Jzmz7ghbhs+m/5ppBI+JwyMulDPrjrDjrs/p/M5YfPq3q3K9+vbwAHh2D6MkJRtDdjGZqw/Sf5p1JYViUei78vEayz/8vRhofeK5EjTOuivehiS1FEsSpnFnxy8IdO3InsxFJBf8CcCodm+TWriHhNx1zNtzI1PiVhPjN4ZW+jgSc9fx9YG7GdnubSI8+1e5Xn17eABC3LqTU5ZCSUUOh7NXMyXuyRpjvJQhJY04/1kkhBpLDb1RNant/ZCaPpnwNGE+/duy+x9f0ebhgTh4WYe0LuzlMRUb0PnrsRjNZCzdYyvhUJKSjWdcGJ5xYZzdcJSyjHxMReU4h3kT/sAAytLzKTp8ulqC0ZAeHiEEASM6ceS/K3Bt54+Dl7Unyve6KFK+2ELElMEAFBxMx71y48O/Kz2ZU2c8PgMjOfbeWoLHxNmGtBw8ndF6OJH71wm8erch/cfdePep+i3SJcKX0tQ8SpKzcQn3qTwmot73JUnXijYe/fnu8P30a/UQzlovSo151Xp5KszF6B38MVuMxJ9ZipvOWsohpyyFELc4QtziOJa7kQJDBuWmIrwcw+gT/AD5hnSySo5US3ga0sMjhKCDz438euK/+Dm3w1nrVefxThp3dGpXUgv3EOIWx/6zy+vd1oUiPAey8dQsYvxG24a0nLWetb4fUtMnE54mTB8VQNsnr+fPMfMQahXunYKJmTOxyjFRz97I1pvm4uDtikdcKOZi69DRkVdWUpqcjaIo+PRvh1vHIJI+2Ej6j7tRadXofPW0feL6RscYODKWrSPmEDPnfLX1jq/exsEXlvLHkJkoJjNevdvQ+Z1x1c7NWBFfZzx+Q9pTeCiDLTfORuWgwXdIe9q/cBMxcyaen7Qc6kXM7KqV3tWOWmJmT2DPQ/+zTVoOvadPo+9Vkloaf5coBoU8wfz4saiEmkDXToyNml3lmOtbP8PHe2/GxcGbEH1XDOYSANaceJWcsmQUFCI8+hPg0tE6yffMElRCg97Bj0EhTzQ6xs6+o/ho7wjGRM6++MHA6MiZ/HTsaQSCcPc+OGr0l9RupNdgThcf5KO9I1ALLZFe1zMs/Pla3w+p6ZP78F2xoj0AACAASURBVDSC3GlZqo3ch0e6FE1lH57mzGAuQae29jZvOvU+xRVnuLntq3aO6vKT+/A0nOzhkSRJklqMxJx1bEp9H4tixsOxFWPr2TMktXwy4ZEkSZJajM5+o+jsV/NqLunaJreZlSRJkiSpxZMJjyRJkiRJLZ5MeCRJkiRJavHkKq1GUDtqMy0Gk7+945CaHpVOk2UuNwbYOw6pedGqHTNNFoP8TJEuSqPSZRnN5fIzpgFkwnONEULMAfSKovzD3rFcjBCiH7AY6KQoSvUiP5IkNRnys0Vq6mTCcw0RQvQBlmD9R55r73jqQwjxIeCgKMqD9o5FkqSayc8WqTmQCc81QgjhAOwF/k9RlMX2jqe+xP+3d5+BUVVpA8f/d2rapPdCC0kghNCLsqAogihFEOyiYsG6lt11d9XV1bWhq4gvKLIqigUFpYiAgICAoIj0FhI6JCRAEtKTaff9MDAYJwkEMFPy/L7AZG555ubJmeeee+85ihIM7ADGqKq6wt3xCCFqk7ZFeAu5abn5+AewF5jl7kAaQ1XVUuBBYKqiKP7ujkcI4ULaFuEVpIenGVAUJR1YCXRRVfWIu+M5H4qifAEcUFX1H+6ORQjhIG2L8CZS8Pg4RVE0wGrgU1VV33V3POdLUZQYYBswSFXVTe6OR4jmTtoW4W3kkpbvewBQgffcHciFUFW1AHgSeF9RFJkSRQj3k7ZFeBXp4fFhiqIkARuBfqqq7nJ3PBdKURQFWAIsUVX1dXfHI0RzJW2L8EZS8PioU3/A3wDrVFV90d3xXCyKorQBfgF6qaq6193xCNHcSNsivJVc0vJdNwKtgNfcHMdFparqPuAVHE9WKO6OR4hmSNoW4ZWk4PFBiqJEABOAe1RVNbs7nj/ARCAEuNPNcQjRrEjbIryZXNLyQYqifAScVFX1MXfH8kdRFKUzjmvumaqq5rs7HiGaA2lbhDeTgsfHKIpyFfA/HEO8l7s7nj+SoigvA8mqqt7o7liE8HXStghvJ5e0fIiiKIE4HhG939cbpFP+A3RRFGWYuwMRwpdJ2yJ8gfTw+BBFUd4AolVVvd3dsTQVRVEuAz7FcdZZ4u54hPBF0rZI2+ILpODxEYqi9ADm4/jjPOHueJqSoihTAauqqg+6OxYhfI20LdK2+AopeHyAoih64FfgNVVVP3N3PE1NUZRQYDtws6qqq90djxC+QtoWaVt8idzD4xv+CuQCn7s7EHdQVfUk8AjwP0VR/NwdjxA+RNoWaVt8hvTweDlFUdKANUA3VVUPujsed1IU5Wtgp6qq/3J3LEJ4O2lbzpC2xTdIwePFTs1WvAL4WlXVt90dj7spihIPbAGuUFV1m7vjEcJbSdtSm7QtvkEuaXm3ewAjMNndgXgCVVXzgKdwzHqsdXc8QngxaVt+Q9oW3yA9PF7qN2ccl6uqusPd8XiKU3PgLAfmqar6lrvjEcLbSNtSN2lbvJ8UPF7o1B/ebGCrqqrPuTseT6MoSgrwE9BdVdUDbg5HCK8hbUvDpG3xbnJJyzuNBNoBL7s7EE+kqmoO8F9gisx6LESjSNvSAGlbvJsUPF5GUZQw4G0csxXXuDseD/YGEAPc5u5AhPAG0racM2lbvJRc0vIyiqL8D6hRVfVhd8fi6RRF6QYsBDqqqnrM3fEI4cmkbTl30rZ4Jyl4vIiiKP2Bj3EM8V7q7ni8gaIorwPxqqre6u5YhPBU0rY0nrQt3kcKHi+hKIo/sA14TFXVb90dj7dQFCUAx3F7RFXVhe6ORwhPI23L+ZG2xftIweMlFEV5FWilqupN7o7F2yiKMgD4AMfZa5m74xHCk0jbcv6kbfEuUvB4AUVRugDfAZmqqha4Ox5vpCjKNKBMVdU/uzsWITyFtC0XTtoW7yEFj4dTFEUHrAPeVlX1Y3fH460URQnHMevx9aqq/uTueIRwN2lbLg5pW7yHPJbu+R4HioDp7g7Em6mqWgQ8hmNoeIO74xHCA0jbchFI2+I9pIfHgymK0hb4Geipquo+d8fj7U4NFDYP2KCq6vPujkcId5G25eKStsU7SMHjoU79AX0PLFRV9Q13x+MrFEVJBDYBl6mqutPd8QjR1KRt+WNI2+L55JKW57oTCAYmujkOn6Kq6hHgWRzdz5L/ojm6E2lbLjppWzyf9PB4IEVRYoGtwFWqqm5xdzy+5lRjtAqYoarqZHfHI0RTkbbljyVti2eTgscDKYoyE9ijqupT7o7FVymK0h5YDXRVVfWQu+MRoilI2/LHk7bFc0m3m4dRFGU40Bn4j7tj8WWqqu7C0aX/rsx6LJoDaVuahrQtnksKHg+iKEoIMAm4V1XVKnfH0wyMB1oAN7o7ECH+SNK2NDlpWzyQXNLyIIqivAtoVFUd5+5YmgtFUXoBc3EMDV/o7niE+CNI29L0pG3xPFLweAhFUfoCM3D8cZx0dzzNiaIobwFhqqre4e5YhLjYpG1xH2lbPIsUPG50atyGz4GBwGbgn6qqznFvVM2PoihBOIaGvw9IBOJUVX3JvVEJcf6kbfEM0rZ4FrmHx73aAgrwNLBDGiT3UFW1HLgfeA/H30S6eyMS4oJJ2+IBpG3xLFLwuFcCUAaMAz5SFOV7RVHi3BxTs6MoyiQgE1iL44w4wb0RCXHBpG3xANK2eBaduwNo5hKBnsBu4F3gSSDfrRE1T2/heIw0FYgB5D4H4e2kbfEM0rZ4EOnhca+BQDiwBmivqurnqtxU1eRUVd0DDAGeAKqBRBk/Q3g5aVs8gLQtnkVuWnYjRVGGAMWqqq5xdyzCQVEUf+ARVVVfc3csQpwvaVs8j7Qt7icFjxBCCCF8nlzSEkIIIYTPc8tNyxo/fb5aY41xx74FKEZdgb3aEuvuOBrLoPfPt1irJW+agF7nV2C2VHldjvyW5EvT8OZc0Wv88q1qjeSIG+gUY4HFXt2keeOWS1qKoqiX5D7f5PsVDj8lPIeqql5345yiKOqsp4vcHUazMPqlcK/Mkd+SfGka3pwriqKoz1+S6+4wmqXnfkpo8ryRS1pCCCGE8HlS8AghhBDC5zW7gQcPvb6c4F4tCe2XXO8yRUuyqMo+TsLDfS9oX+Vb89jz+Bzs1VbCrkih1QuD+f0QDKqqcuDZRRQvz0Hrryd5wnUEdYy/oP2Kxvli5cukt7iUzNaX17vM+uxFHDmxmxGXPnZB+9p7dDOT5z+E2VpN1+SruGvgKy45sX73Qr5Y9TIKGrQaHXcOfJn2Sb3ZfmA1Hy192rlcXmEOj414n55p1zJp/kPsPLiGAGMwAA8NnUzr2I4XFKtwJbkiLoblh16nZXAvkkP71btMVtESjldl0zfh4QvaV175VubseRyrvZqUsCsY3OqFOr+HFh14lpzi5ei1/lyXPIH4IN/LCbmH5w+09dqptH5hMEFdE8m6/VNix/Ym7IqUWssUL8smf9o62n1yG+Ubj3DguUV0/Pa+PzQuuYfHff7x4QDGDnqFlPjuvPzFDVzT4z66tL2q1jJV5nL89IEoisLBgh28OWcsE+9fV2uZsqpiHnmnG+/9eTtGfQCT5j9Et7YDuaT98IsSpzffl3Gat+eL5MofrzncwzN167UMbv0CiUFd+TTrdnrHjiUl7Ipay2QXL2Nd/jRua/cJR8o3sujAc9zX8ds/NC533MPjsz08Ryb8wPHZW9FHBGKIDyYoM574+/uw57E5hA1IJWJIBzb2mkDU6E4UL83GbrWR9t4N+LeN4tiXmyjfmkebl6497/2bC8qwldVg6pYEQNSozhR9t8ul4ClanEXUqM4oioKpWxLWkmrMBWUYYkwX9PmFq69Wv86q7bMIDoggMjiBNnGdGNb7kVpfAA9O6sRlHW9iQ85irHYLfxk5jYTIVFZs+Zy9Rzdzz9XnP2ZYcVk+VeYyUhN6AHBZ5k38kr3Q5UvM3xDk/H+1pYK6WoSfd82jS/IAjPqA845H1E9yRVwMPxyZwNbjswnURxBsiCc+KJM+8fczZ89jpIYNoEPEECZs7EWnqNFkFy/FZrdyQ9p7RPm3ZdOxL8kr38q1bc5/cvUycwE1tjKSTN0A6Bw1il1F37kUPFlFi+kcNQpFUUgydaPaWkKZuQCTwbceYPPJgqd8cy6FC3fRaekDqFY7WwdNISiz7stEuvAAMhffT/5Hv5A3ZS3J/63/rKdkzX4O/Ps7l59r/PV0/OaeWj8z55dijAt2vjbEBWPOL3NZ15xfhiH+98uVSsFzke3J28jPWfP5772rsNksPPlBf9rEdapz2eCACF675wcW//oB3/w8iQeGvF3vdn9/6eA0o96fl+5cXOtnRWVHiTCdycMIUzxFZUfr3O66rG/5/If/UFJxnH/e+IXL+2t2zmForwdr/WzGDy/x1Y+v07FVP27t/xx6nbHeuEX9JFfExZBbvpldhQt5oNNS7KqVKVsHER+UWeeyAbpw7s9czC/5H7E2bwrDk/9b73b3l6zhuwP/dvm5XuPPPR2/qfWzUnM+wcYzc8YGG+IoM7tOqVZmzifYEF9ruVJzvhQ83qBs/SHCB6Wh8dMDEHZVWr3Lhg9OByAwM56iRbsa3G5In9Z0WvrAxQtUNJndR9bRI3UwBp0f6PzoljKo3mV7pg0BoE1cJ9btbrhbN6NVX/5776qLGitAr3ZD6NVuCDsPreXLla/w7K1znO8Vl+Vz6PhOOrU5c5Z26+X/IjQoBqvNzHsLH2fuTxMZ3ffJix5XcyC5Ii6GQ2XrSQsfhF7jB0Ba2FX1LpsePhiA+MBMdhUtanC7rUP68ECnpRcv0GbEJwuextAYtQAoWgXVZm9w2cb08Bhig6k5Wup8bT5aiiHWtdfGEGvCnPf75YJdlhNN5/TZrkbRYrNbG1y2MWft4aY4CsvynK8Ly/IIN8X9ftVa0ltcSsHJA5RWFhIcEAHA2l1z6Zl6LTqt3rlcmCnWGXv/Trfwzc+TGtyuuDgkV8TFoNU48khRtNhVW4PLNqaHJ9gQS2nNmZ7BUvNRTAbXsf5MhlhKzXm1lguuYzlv55MFj6lHC/b9fT4JD/dFtdkp/j6bmNu6XfB2G9PDY4gxoTUZKdtwmKCuiRz/ajOxd/VyWS58YDvyP1pHxPAMyjceQRvsJ5ez/gBpib2YuvAJRvR5HJvdysY9SxjQZcwFb7cxZ+1hplj8DSayc9eTEt+dlVu/YHAP1xvUjxbtIzasNYqisO/oFixWMyb/cOf7a3Z8zS39n621TnFZPmGmWFRV5ZfdC0iKan9hH6wZk1wRF0MLUw/m7/s7fRMexq7ayC7+nm4xt13wdhvTw2MyxGDUmjhctoHEoK5sPv4VvWLvclmuXfhA1uV/REbEcI6Ub8RPG+xzl7PARwueoM4JhA1MY8uAd9FHBRLQPhqtqemvUbd5+Vr2PD4Xe7WF0P4phJ66YTl/+noAYsf0IPTKFIqXZ7Opz0Q0/nravnldk8fZHLSN70r31Kv56//6EhIYRYuo9s7HcpvSvVe/zuRvH8JsqaZz8gC6JA8AYMmGaQAM7HYX67Lms3LbF2g1egx6Px4f+YHzMdJjJw9xojSP9JZ9am134rxxlFaeAFRaxXTk3sFvNOnn8iWSK+JiSAjqTFrYQN7dMoBAfRTRAe0xapv+ZPbaNi8zd8/jWOzVpIT2JyXUcXlzff50AHrEjiEl9Eqyi5czcVMf9Bp/rmv7ZpPH2RR89rF0W0UN2kAjtiozO0ZOo81rQ2V8m1Oa62PpVeZy/A1B1FgqeXb6EMZdM6Hem1GbO29+1Pi0C8kXyZVz58258kc/ll5jq8CoDcRsq2LajpEMbfOaT45vcz7ksfSLaO+T86nKPo69xkr06E5S7AjeW/g4R47vxmKr4fKON8kXmKiX5Iq4GObvfZLjVdlY7TV0ih4txY6b+WzBkzp5lLtDEB7msev+5+4QhJeQXBEXw6jUye4OQfyGzKUlhBBCCJ8nBU8DdoyaRvmWph12fOetn7BlwDts7j+JfX+f73xU/sB/FrOp3/+xZcA7ZN09A2tJVZPGJc7dc58MZW/eJrfs+9WZt/DE1Evdsm9xfiRfREOm7RhFbvmWJt3nJztv5Z0tA5i0uT/z9/3d+aj8isNv8N9fu/Hulqt4d8tVZBcva9K4LpTPXtLyVqlTRqMz+aGqKtn3fUnhtzuIHN6R0H7JtPznABSdloMvLSF30mpaPj3Q3eEKD7Iuaz5+hkB3hyG8hOSLqM/o1Cn46UyoqsqX2fexo/BbOkY6ZiG4JP5e+sTf7+YIz49XFTy2SjPZ42ZiPlqKaldJfPQyIodncHjCDxQv3Y292oqpexJtxg9FURR2jJpGYIdYSn85hL3STNuJI8mdtJrKXQVEDMugxd+vpPpwMbtu/ZSgzDgqth3FPzWatm+PQOtvqLXvkyv3cPi/K1DNNowtw2g74Tq0gUYOvryU4iW7UXQaQvol0+rZ+kdlPRc6k2NUTtVqRzXb4NTsOKGXtXUuE9Q1iaIFOy5oP81JtbmCN2ePpagsD7tq4/o//ZU+6SOZtfo1NuQsxmytIjWhJ+OumYCiKDz3yVBax3Zk16GfqbFU8PCwd5mz9i0OHdvJpekjuPnypzl28hAvfTGaNrGd2J+/hcSodjwy7F2X+Yq27FvOl6texWo1ExPWigeHTsLfEMSny5/n15xFaDU6OrXuz5gB/7mgz1hlLmf+uncYd80EJswZe0Hbau4kX0RDzLZKZmaPo9R8FFW1c1nio2REDueHwxPYXbwUq72aJFN3hrYZj6IoTNsxitjADhwq/QWzvZKRbSeyOncSBZW7yIgYxpUt/k5x9WE+3XUrcUGZHK3YRrR/KiPavo1B619r33tOrmTF4f9iU82EGVtyXdsJGLWBLD34MruLl6BRdCSH9GNQq2frif7c+Okcj8/bVSs21VznHG3eyKsKnpMr9mCINdH+E8fgTdbSagBi7+xJ0uOXA5DzyNcUL80mfKBjOgnFoCVz0TiOvv8TWWNnkLloHLpQfzZdOpG4ey8BoHrvCZLfGE5wjxbseWIuBR+vJ/7+M2NXWIoqODJxFelf3oE2wEDu5NXkTf2J2Dt6UrRoF51XPYKiKHVeZmrM6Myn7bxlOuWbcwntn0LEkHSX949/sZGIYRmNOHLN2+Z9ywg3xfLUTV8CUFHtGNn66u73OofUf3ve/WzIWUz31KsB0GkNjL97OQt+mcJrs25j/NjlBPmH8fA7XRnS0zH4ZF5hDg9cO5F2Sb15Z/7DLN7wAcN6P+Lcb2llIV//+AbP3jIHP0Mgc9dO5Nt173B1t3v4ZfcCJt6/DkVRqKgucYm5MaPyAny58mWG9npIJoi8CCRfREP2nFyByRDLbe0/AaDa6siPnrF3cnnS4wB8nfMI2cVLSQt39MJrFQPjMhfx09H3mZE1lnGZi/DXhTJx06VcEncvACeq9zI8+Q1aBPdg7p4nWF/wca2elApLEauOTOSO9C8xaANYnTuZn/Km0jP2DnYVLeKRzqtQFIUqq2t+NGZ05tOm77yF3PLNpIT2Jz1iiPPnv+RPY8vxr4gPzGRQq2fx14Wex1F0D68qeALaRXPwhcUcfGkJYQPSCO7VEoDStQfIe/dHbFUWrCerCEiLhlMFT9jAdqfWjSEgNco5irGxZRjmvBK0IX4Y4kMI7tECgKiRmRz9cF2tgqd8wxGqso+zffgHAKgWG0HdEtEFG9EYdez9yzzCBqQSNiDVJebzmX8r/fMx2Kst5DzyNSVr9hPaL9n53pGJK0GnIXJk3ZPQCVctotKZ/v2/+HT5v+nWdhDtWzgK3R0HVzPvp7epsVRRXnWSpKh2zi+w7imOf1tEp5MYleYcjj8mtBUnSnMJ9AshIjiBdkm9Aejb8QYWrZ9a6wssJ/dXjpzYzTMfO+bJsdrNpCb0IMAvGIPOyLvfPkK3lEF0rWOupsaMyrs/fxv5xQe486qXOXby0HkeJXGa5ItoSHRAOxYffIElB18iLWwALYMdI+gfKF3Lj3nvYrFVUWU9SXRAGmk4Cp52YY5/YwLaERWQ6hzFOMzYkhJzHn7aEEIM8bQI7gFAZtRI1h39sFbBc6R8A8ersvlgu+PSkk21kBjUDaMuGJ3GyLy9fyE1bACpYQNcYj6f+bfGpH+OxV7N1zmPsL9kDcmh/egRM4bLEh8DFJYffo3FB17wqkEKvarg8U+OpON34zi5PIdDry0j5E9tSHigD/uf+paOC8dhTAjh8BsrsNecmdNGY9Ce+o+CYjjzcRXNb+bO+n1/3e9eqyqE9GtD6jujXWLquOA+Sn7cR+GCneRP+4UOs+6s9f759PAAaPz0hA9sR9HiLGfBc+zLTRR/n036zDuco6mKs4uPaMv4u39g056lzFj5Eh1b9WP4JX/m/e/+xqtjlxEZnMjMVa9isVY719FrT8+RpHH+H0BRNNhPzZmknCVxVFUls/XlPDbifZeYXrnre7YdWMXPu+ax6Nf3+fdt82q935gz9uzc9ew7upkHJ3XCZrdSUnGC5z4ZyvO3zz/7wREuJF9EQyL9kxnX8TtyTi5n2aHXaBPyJ/okPMC3+59iXMeFhBgTWHH4Daz2Guc6Wo3jFgkFDTrlzO0SiqL5zdxZZ/8iahPSj9Gp77jEdF/HBewr+ZGdhQv4JX8ad3aYVev98+nhcbzvR7vwgWQVLSY5tB9Bhijne92ib+XzrDvqXdcTeVXBY84vRRfqT9T1ndAF+1EwY6OzuNGFB2CrqKFwwU4irnW9DNTgdnNLKPv1MKbuSZyYu83Z23OaqVsi+59eQNX+QvxbR2CrNDsnA7VXWQi7MhVTjxZsuuQtl203pofHVlGDrdyMIcaEarVRvCwb06lerOIVOeS9u4YOX9/lcn+RaFhR2VGC/MPo1/EGAv1CWLb5EyxWR2Nk8o+gylzOz1nf0LvdsEZt90TpEXYf+YW0xJ78uP0r2ifVnistJaE77y/+G0eL9hEX3oZqcwVFZUcJM8VitlTRte1VpCX24uF3urhsuzFn7IO6jWVQN8d9GMdOHuLVmTfJl9cFkHwRDSk15+OvC6VT1PX46YLZWDDDWdwE6MKpsVWws3AB6RHXNmq7JeZcDpf9SpKpO9tOzHX29pyWaOrGgv1PU1i1nwj/1phtlc7JQC32KlLDrqSFqQdvbbrEZduN6eGpsVVgtpVjMsRgU61kFy+jpcmRq2XmAmfv1K6iRUQHpDXqM7qbVxU8lVnHOPjiElAUFL2GNq8MQRfiT/Qt3dhy5WQMUUEEdWr8iMp+yZHkf/wLe/8yF//UKGLuqJ1o+ohA2k64jpyHvjp1IzEkPXkF2iAjWWNnoNZYUVWVls9dfUGfz1ZpIeuuz1HNNlS7SsilrYi9vTsA+59ZiFpjZedNjvlPTF0TaTN+6AXtr7k4dGwnnyx/znF2pdVz79X/JdAvhCs7j+EvU/sQGhRNcpzrl8jZxEeksHjDB7z77SMkRqYxsFvtmz9DAiN5aOhkJs69F4vN0SDedNnT+BuCGD/rNiy2alRV5Y4BL16UzykuDskX0ZBjlVksOfgiCgoaRc+QNq/grwuhW/QtTN5yJUGGKOKDGj8yd6RfMr/kf8zcvX8hyj+VHjG1e08C9RFc13YCX+U8hE01A3BF0pMYtUHMyBqLVa1BVVWubvncBX0+i62Sz7PuwqaaUVU7rUIupXvs7QAsOfgi+RU7URSFUGMiQ9uMv6B9NTWfnUvrXFUfLibrjs/pvPwhd4fSZJrrXFoX0+kz4zfvW+vuUP4Q3jw/0mmSL03Dm3Plj55L61wVVx/m86w7eKjzcneH0mTcMZeWDDwohBBCCJ/X7Asev6SwZtW7Iy6O6NAWPnm2Lv4Yki+iIWF+Sc2qd8ddmn3BI4QQQgjf51U3Lf/WupSX6JXj+hjmH6n6cDGbL5+Ef5tI55NXxStyOPDsIlS7SszNXUl4uG+D28ifvp78j39B0WjQBhpo89pQAlKjOblqL4deXordYkOj19LymYGE/KlNg9uyFFeS88Asag6fxJgUSuqUG9CF+nNi3nYOvbYM/+RI2k+/9aJ9fl9x22tJfPrk4Sbd57GTh3jsvd7Eh7d1Pk2zae/3TFvyFHbVxpWdb2fEpY81uI2dh9by0ZKnOHhsB4+NeJ9L2g8/635fnDGKk+UF2OxW2iddwt1Xv45Wo2X6smdZtW0mw3o/VGssGFGb5Irkytm8tC6Fp3vlNOk+i6sPM2nz5UT6t3E+fZVTvIJFB55FVe10jbmZvgkPN7gNq72G2Xse5Wj5Nvz1YYxOeZcwv6R6l7fYq5m2/Xqsag121UZ6xLVckfRXAObseYwDpT/jp3WMc3dd2wnEBWaw/cQ8lh16jUj/ZG5tP/0iffrz57UFj7v4tQx3Fjuqzc7+pxeQPmMMhrhgtl0zlbCBaQSkRte7fuSIjsSOcTwFVrQkiwPPLyb9s9vRhwfQ7qNbMMQGU5lVwM5bP6H7hr82GEve5B8dYxE93JfcSavJneyYXytyeAb6qEDypkgXuieJDWvl/AKz2W188N2T/OuW2YQHx/PPD6+ke8rVJEW1q3f9yOBEHho6mW/WTTrnfT4x8kMCjMGoqsobX9/Bz7vm0qfD9Yy58gX8ZJRdjyW5Is4m3K+ls9ixqzYW7H+aMekzCDbEMXXbNaSFDSQ6wHUw3NM2HpuBvy6ER7uuYduJeSw99BI3pE6pd3mdYuSODjMxagOx2S18sGMEKaH9STJ1A2Bgy2fo8JsRmQEyIocTqI9ibV79221KHnFJ6+DLS8n/aJ3z9eE3VpA3ZQ22ihp23PARWwdNYfOVkylanOWybsna/ewa85nz9b6nF3DsS8fMw+Vb89h+/YdsvXoKO2+Zjrmg7KLGXb4pF79W4fi1DEdj0BE5PIPiOmL8rdNzZQHYKy2cHj8wMCMOQ2wwAP5p0dirrbUGUKxL0eIsokZ3BiBqdGeKvmt4377o0+XP892vZwZqm7nqVb75+f+oMpfz/GfX8eT7l/PEVHDpRQAAGMZJREFU1D6s373QZd0dB3/klS9vcr5+/7snWbHlcwD2Ht3Ms58M4ckP+vPijOspLsu/qHHvydtAbHhrYsJaodca6JM+kl+zFzW4TnRoC1rGdEBRzv3PNsDoyCmb3YrVZoFmPGCl5ErDJFdg6cGXWZf/kfP1isNvsCZvCjW2Cj7acQNTtg5i8uYrySpyna5jf8laPts1xvl6wb6n2XTMMT1JXvlWPtx+PVO2Xs30nbdQZi64qHHnlm8i3K8V4X4t0WkMZEQOJ6vYNcbfyipaQucox2C66RHXsr/kRxp6altRFIxax2SzNtWKXbXUMZimZ/OIHp7IYRnsf24RsXc6BjcqnL+D9p/djsaoI+2Dm9CZ/LAUVbBt6PuEDUw7p1GG7RYb+59ZSLtpN6OPCHRc5hm/jLZvXldrueOzt5L37hqX9f1ahZP2vxsb3Ic5vxRjfIjztSEuhLJNR84aW/5H68ib+hOq2Ub6zDtd3i9asJOgjDg0xoZ/PZYTFc6pMvTRQVhOVJx1376mT/oIpi19iqu7O0atXrtrLs/c/BUGnR9/GzWdAGMwpZWFPPXRQLqnDj6n3LHaLHy4+O88OfozQgIjWbNzNjN+eJEHh9Y+W169fRbzfvo/l/Vjw1vz1+s/bnAfRWVHiTAlOF+HB8eTk7vhXD5yo70443r25G2kc/IAerc7+6UNXyW5cnbNPVcyIoexaP9z9Iq9E4AdhfO5vf1n6DRGbkr7AD+diQpLEe9vG0pa2MBzyhGb3cLC/c9wc7tpBOojTl3mGe8yJcPW47NZk/euy/rhfq24Me1/De6j1JxPiPHMGHQhhjiOlG1qcJ0ycz7BBsc6WkWHURtMpbWYQH14vevYVRvvbb2aouoD9Ii9k0RTV+d7yw6NZ+WRt2gd0oerWjyFTmOsdzvu4hEFT2BGHNYTFZjzS7EUVqIL8cOYEILdYuPQq8soW3cQFMXx/vFyDNGms26zeu8JqnYfcw7Up9rtda4XNTKTqCaelyr2zl7E3tmL43O2kjtxJW0njnS+V7n7GAdfXkr652Ma2IIrRVFcRyZvBlrHZlJacZyisqOUVhYS5BdKZHAiVpuFz1e8yK7Da1HQUFR2lJMVxwgLijnrNvMKczh8fBf/+dzxe7GrtjrX65sxmr4ZrtONeJpnbv4as7Wat+fex/YDq+jUpr+7Q3ILyZWza+65EheYQYX1BKXmfCothfjpQggxJmCzW1h26FUOlq1DQaHUnE+55TgmQ/23L5x2onovx6p2M32no4fQrtrrXC8zaiSZUSNdfu5JNIqWBzotpcpawhe776agMouYgHYMaPFPgvTR2FQz3+x7kh9z33FOpOpJPKLgAQgf0oHCBTuxHCt3zgR+YvZWrIUVdFw0Do1ey8ZeE1wu8yg6jWOyq1PUU++rKvinRtFx/r0N7vdCengMscHU5J2ZmdZ8tARj7NmLsdMih2ew/5/fOl/X5JWw++4vaDtxJH6t6q+yT9NHBmIuKMMQY8JcUIY+IvCc9+1Lercfzs9Z33Cy/BiXpo8AHGfUpZUnGD92BTqtngcndXJOD3CaRqNDVe3O16fnRlKBxKh2vHznkgb3eyFn7eGmOArLzgx4VlSaR4QprsF1LoRB50eP1GtYn72o2X2J/Zbkytk191zpED6EnYULKLccIyPCMX3I1hOzqbAWMq7jIrQaPRM29qo1VxaARtGhcua7yKqeel9VifJP5d6ODU/fcSE9PMGGWEpq8pyvS8xHMRljG1zHZIil1JxHiDEem2qlxlZKgC6swXVO89eF0Dq4D3tO/kBMQDvndBM6xUiXqBs95p6d3/OYgidyWAZ7//YN1qJKOnx9FwC2smr0kYFo9FpK1uyn5shJl/WMCaFUZR/HXmPFXm2h5Md9mHq0wD85AktRpXOOLLvFRvW+QsdM6r9xIT08QZ3jqd5fRPWhYgyxJk7M207K5FEAHHxlKUGdE4kY3L7WOlX7CvFvEwFA8fc5+LV2/N9aUkXWmM9o8dQAl7m8cv48m9i7emLqkljr52ED0zg+azMJD/fl+KzNhA+q/yZGX9YnfQRTFjxGWVURz9/maFQqa0oJCYxCp9Wz/cBqjpe4PmkTFZLIkRO7sVhrMFur2XZgFe2SehMf0ZbSykLnvEdWm4WjRXtIiqr9u7yQs/a28V05WrSPgpMHCTfFsWbnbB69bioAn614gbZxXenVbshZtnLGo1N6MfH+dbV+VmUup7qmnDBTLDa7lQ17ltA+yXWeneZEckVy5WwyIofxzd6/UWkt4q4OXwNQbSsjUB+JVqNnf8kaTta43roQakzgeFU2VnsNFns1+0p+pIWpBxH+yVRaipzzZNnsFgqr97nMQ3UhPTzxQZ0pqt5PcfUhTIZYtp+Yx6iUyQAsPfgKiUGdaR8xuNY6aeED2Xx8Fkmm7uwsXEDrkD4oikJpzVFm73mUOzvMrLV8haUQjaLDXxeCxVbF3pJV/CnhQeDMHFuqqpJV9B3RAZ75XeQxBU9AWjS2ihoMsSbnfSmRIzPJuuNzNl85maDMePzbRrqsZ0wIIWJoB7ZcMRljizACMxxnPhqDjrT3bmD/s4uwlVaj2uzE3dPbpeC5EIpOS+sXr2HXLZ+g2u1E39jFuf3KXccIv8r1l57/0TpKVu9D0WnRhfjR9i3HWWb+tF+oPlDEkQkrOTJhJQDpM25HHxlE5a4C5zH5rYSH+pJ9/0yOzdiIMTGUlCme32X+R0iKak+VuZxwUxxhJsdZTd+M0bw682aemNqH5LjOJESkuKwXGZzIJe2v44mpfYgObUHrWEfhq9ca+MvIj5i25B9U1pRis1u5tuf9Ll9iF0Kr0XH3oNd4acYo7HYb/Tvd6tz+oWM76Z7iOi/bnryNvP7V7VRUl7Ah5ztmrnqVCeN+orSysM6bDWvMlYyfdSsWWw2qaqdDy74M7HbXRfsM3khyRXLlbKID0qixVWAyxDp7LjIjR/J51h1M3nwl8UGZRPq3dVkvxJhAh4ihTN5yBWHGFsQFOq5U6DQGbkh7j0X7n6XaVopdtdE77p6LOvGmVtFxTesX+WTXLdhVO12ib3Ru/1jlLtqFX+WyTtfom5id82cmbuyDvy6UUadmYS+zHEOjuJYGZeYC5ux5DBW7I0cihpIW5tju1zkPU2EpAlRiAzswpM2rF+2zXUzNfi6txmjMvFs7b5ne6Ptw6mItq2bvX+aRNrXhy2u/V7J2P3lT1tY5Do/MpdX0GjOX0oszrueZm78+521vyFlMwckDXNNjXKNimrnqVfwMgXWOreLN8yOd5q35IrnSdDxlLq3GaszcW9N33sKY9M/Pedvrjk4jxJhAu/CBFxKi0/6StazNm+IyDo/MpeXhFI0GW2k1W65yvc76exej2AHHY+yNLXZOzNvO/qcWoAvxO/vCokloNBoqq0v56//6nXXZxnyBAXRLGdToL7Dpy55l1fZZGPXN874vTya5Is5Go2iotpXy7hbXnpvfa0yxA9Ar7q6LVuxsPzGPBfufwk8XcvaFm4D08DRD0sMjzsabz9pPk3xpGt6cK97aw+MLpIfnd04PQOirtg17/+wL1WHPY3Mo/HbHRY7Gd5weUM5TLdkwjZVbv2jUOnvzNvHh4n+cdbmnPxp0vmE1W5Iv4lydHojQU63Pn87m47MatU5u+RYW7v/XWZd7f9uw8w3LY3jMTcu+SrXaUHTaOt/r+M09TRODzY6i9ejatlmp72ZQm92KVlP3n2RyfBeS47ucddsv3dnw6KrC+0i+iHPVI7buWylsqhVtHTciAyQEdSIhqNNZt31Px28uKDZP4DEFz/FZm8l7z3GTXkD7GFL+7/pa7xd89isFn21ANdvwax1O27dHovU3UDh/B4cn/ICiUdAG+5ExeyyVu4+x54m5qGYbqCqpU290PgreWKrdzqZLJpK55H50If4AbOozkQ5z70bRKOz7x3xqch1j8bR6fjDBPVpw+I0VVB8oouZQMYaEEBIfvazOeH47AWru5NUcn70VRVEIvSKFlk9dRcX2o+z7x7fYqy0YW4bR9o3r0IX614qvZPU+DvxnMarNTlCnBNq8MgSNUcfGXhOIGNaBklX7iH+wD5HDO57X5/d0K7d+wTfrJqGg0CK6A38eXvvs6/tNH/P9pulYbWZiw1rzyPApGPUB/LRrLrNWv4ZG0RJgDOaFMQs4fHwXk+c/gtVmRsXOX6//mLjw5POKy67aeXhyF16/ZxWBfo7r14+8053/jFnIko0fOm8Afe6TobSKySDr8Dr+1GEk7VtcyrsL/oyChsw2l7N57/e8ed9adhz8kW9+nsQ/b/yCmate5UTJEQpOHuRE6RGu7Xm/876M3052OXftRFZtn4lG0dA5eQC3XfFcvcejuZB8kXw5V5uPz2Jt3nsAxAS05/qU2r2AvxZ8xoaCz7CpZsL9WjOy7dsYtP7sKJzPD4cnoCga/LTBjM2YzbHK3czd8wQ21YyKyo2pU4nwb3hy6PrYVTsTN13C/ZlL8D91b8zETX24u8Nc1hdMx6ANpE/8/UzbMYrYgHQOla0nI3I4rYJ7M2/vX1FQaBPSjz0nV/BQ5+W1bipecfgNSmpyKa45RElNLr3j7qF33N1A7UlSV+dOZuvx2SiKQkroFVzV8ql6j4cn8YiCp3L3MY5MXEXGN3ejDw/EUlzpskz44HRibu0OwKHxyzg2YyNxY3tz+K0faP/Z7RjjgrGWVAFQ8Ml64u7uTdTITOxmK6rN9T6l7PtnUrW30OXn8fdd4pyfChw3KocNSqPouyyib+xC2cYjGBNDMUQFkf3QV8TdewnBPVtSk3uSXbd8QueVjqcYqnKO02HO3Wj99ex/ZkGD8RQvz6Fo8W46fnsvWn+D8/PveWwOrf5zDSGXtOLQ68s5/OYPtH7hzFgK9moLex6fQ/qXd+CfHEnOn2dTMH09cfc6xs/QhQWQufj+Rv0uvMnh47v4es0bvHjHdwQHRFBWVeyyTK+0oQzocgcAM354ieWbP2Vwj/uYtfp1nr7pKyKC46modhSsSzZ+xLU9x9E3YzQWmxm73eayvTdnjyWvcI/Lz4f2epDLMs/MtaRRNHRPHcwvu7+lf6dbycn9laiQJEKDXIdFsNosjL/b8bTFE1MvZdw1b5GW2JNPl9d/n1tuYQ7/vu0bqszlPDqlJwO7jkWn1Tvf37RnKeuzF/LKXUsx6gOcx6a+49EcSL5IvpyrY5W7WXVkIndnfEOgPpxKi2uupIcPpnuM4ynYZYfGs/HYDHrHjeWHw29xe/vPCDbGUWV15Mr6gk/oHXc3mVEjsdrNqKprrszMvp/Cqr0uP78k/j7nnFfgyJW0sEFkFX1Hl+gbOVK2kVBjIkGGKJd1baqFcZmOedcmb76CYcmvkWTqztKDL9f72U9U7eHODrOosVXwf5v70iNmDFrNmVzJKV7O7qLF3NvxWwxaf+exqe94eBKPKHhK1uwjYkg6+nDHUwD6MNcziMrdxzj82jKspdXYK8yEXuYYByG4ewv2Pj6HiKEdCB+cDkBQtyRy316F+WgJ4YPT6+zdSZ1ywznHFzk0g8NvrST6xi4UzttGxLAOjrhX76Mq+7hzOWt5DbYKx+iaYQPT0PrrzymektV7ib6xM1p/g/PzW0ursZZUE3JJKwCiR3cme1ztgaCq9hZibBGGf3Kkc5n8j39xFjyRp0as9lXbD6ymd7vhBAc4jqfJ33WU0EPHd/HFypeoqC6h2lxB5zZXANAusReTv32IS9tfR6+0oQCkJvRg9po3KCzNo1e7IXWerT8x8sNzjq9P+ghmrX6d/p1uZc3O2Vyafl2dy50e8beiuoSqmnLSEnsC0LfDKDbuqfuSQ9e2A9HrjOh1RkICIimpOEZE8Jn5lrYeWEn/Trc4z8ZPH5v6jkdzIPki+XKu9pWsIT1iiHNeqQC9a64cq9zNssOvUW0txWyvoG3oZQC0CO7OnL2P0yFiKOnhjhPUpKBurMp9mxLzUdLDB9fZu9PQTOW/lxE5lJWH36JL9I1sK5xHh4i67685PVJ0lbWEGls5SSZHp0HHyOvILv6+znVSwq5EpzGi0xgJ1EdSbjlea56uvSWr6Rx9o7P35vSxqe94eBKPKHjOxd7H55D2wc0Edojl2JebKP3pAABtxg+lbOMRipdls23we3RcNI6oEZmYuiRSvCybrNs/pc34oYT8qXaCnWsPD0BQ9ySqDxRhKaygaHEWHR899Yu0q3Scfw8aP73LdrQBBuf/zyWeP4ImwDWu5mby/Id4cvSntIrJYMWWz9lxyHET/H3XvElO7q9s2LOEv3/Yn/FjV9A3YxQpCd3YuGcJL39xI/dd8yYdW9V+NPhcz9gBUhN6kl+8n5KKE/yyeyHX9/lrnTH6ncclAr3uTH5pNFpsdfQu1KW+4yEcJF9qk3yp35y9j3Nz2gfEBnZg07EvOVD6EwBD24znSNlGsouX8d62wYzruIjMqBEkmrqQXbyMT7NuZ2ib8bQJ+VOt7Z1rDw9AUlB3iqoPUGEpJKtoMZd1fLTOGPXaxufKbyf91KDFXkdvVF3qOx6exCMKnpA+bdh99xfE3Xcp+vAALMWVLr08tnIzhpgg7BYbJ+ZsxRAbDED1gSJMXRMxdU3k5IoczHkl2MqqMbYMI+7u3tTkllC5q8ClwGhMD4+iKIRf3Y4D//4O/5Qo9OGO2EIuS+botHUkPOBI3IrtR50jPf9W9cGiBuMJ6ZfMkQkriRyZ6bykpQ8LQBfiR+m6gwT3asnxr7cQ3Ltlre36J0dQc/gkVfsL8W8dUecyviyjVV9e/2oMQ3s9iCkgnLKqYpez9mpzOWFBMVhtFlbvmEW4yXGmkl+8n5SE7qQkdGfz3mWcKM2lsqaUmNBWXNNjHCdKjnDo2A6XL7DGnLErikLPtGv5+PtnSIxMxRTQ8PxogX4h+BuDyMn9lZSE7qzZOfuc9/V7ma0v56vVr9M3Y7TzEoXJP6ze49EcSL7UT/KltjYhffhi991cGncfAacuaf2+l8dsKyfIEIPNbmHriTkEGxwjdxdVHyDR1JVEU1dyTq6gxJxHta2MMGNLesfdTUlNLgWVu1wKnsb08CiKQrvwq/nuwL+J8k8hoIEZzsEx95VRG8SRso0kmrqyvXDeOe/r95JD+rHyyAQyI0c6L2kF6MPqPR6exCMKnoC0aBL+3I8do6ahaBQCM+KcUy6clvS3/mwb8j90EYGYuiRgKzcDcPDFJVTtLwQVQv7UmoAOseRN/pHjX29B0WnRRweR8EjfC44xclgG266ZSvKEM3G1/s9g9j+1gC0D3kG12gnu1ZI244e6rFs4f0eD8YT1T6FyRz7bBk9F0WsJuyKFFv8cQNu3Rpy5ablFGG3frN3FrfHT0/bN68geN9N503LM7T0u+LN6i6So9ozs8wTPfToEjaKlVWwmDw+dXGuZGy97in9Ou4rggEhSErpRZS4H4JNlz3G0aC+gktGqH61iMpj700RWbfsSrUZPaFA0I/o8ccEx9mk/gn9Mu5KHfhdXfR649m2mLHwMBQ3pLS8lwBh8XvvtkjyAAwXb+fuHV6DTGOja9ipu6f+veo9HcyD5Uj/Jl9qiA9Lol/Bnpu0YhaJoiAvMYETbt2ot0z/pb/xv2xACdREkmLpgtjmOzZKDL1JYtR9QaR3yJ2IDOvBj3mS2HP8araIjSB9N3wTXEasbKyNyGFO3XcOI5AnntPzw5P/yzb4nUVBoGXwJRt25T3T9Wylh/cmv3MHUbYPRKnpSwq5gQIt/1ns8PIkMPNgMycCDnqvKXI6/IQiAOWvforg8n7EDm35eGm8eTO40yZem4c250pwGHqyxVWDUOu6TXZ07iTLzMa5p/YLb4nHHwIMe0cMjhHDYuGcJc9a8hV21EhmcdM5n+qJ5knwR5yqn+HtW507CrtoIMSa49Fg1B1LwCOFB+qSPpE/6SHeHIbyE5Is4VxmRw8mIHO7uMNxKht8VQgghhM+TgkcIIYQQPk8KHiGEEEL4PLc8paXx0+erNdaYJt+xAEAx6grs1RbPGyThLAx6/3yLtVrypgnodX4FZkuV1+XIb0m+NA1vzhW9xi/fqtZIjriBTjEWWOzVTZo3bil4hBBCCCGaklzSEkIIIYTPk4JHCCGEED5PCh4hhBBC+DwpeIQQQgjh86TgEUIIIYTPk4JHCCGEED5PCh4hhBBC+DwpeIQQQgjh86TgEUIIIYTPk4JHCCGEED5PCh4hhBBC+DwpeIQQQgjh86TgEUIIIYTPk4JHCCGEED5PCh4hhBBC+DwpeIQQQgjh86TgEUIIIYTPk4JHCCGEED5PCh4hhBBC+DwpeIQQQgjh86TgEUIIIYTPk4JHCCGEED5PCh4hhBBC+DwpeIQQQgjh86TgEUIIIYTPk4JHCCGEED5PCh4hhBBC+DwpeIQQQgjh86TgEUIIIYTPk4JHCCGEED5PCh4hhBBC+DwpeIQQQgjh86TgEUIIIYTP+389QnwQu9lXmgAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oVk7yTrlRGrs"
      },
      "source": [
        "### Feature Importance"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "kViSvUqwRGW2",
        "outputId": "821d17a9-4487-4ba5-b5b5-d9f6ff0293b5"
      },
      "source": [
        "feat_imp = pd.Series(DTIris2.feature_importances_,index=X_train.columns)\n",
        "feat_imp.nlargest(20).plot(kind = 'barh')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f5b0fab34d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rzUWgY5WTBdJ"
      },
      "source": [
        "* New things to learn:\n",
        "  * Horizontal bar plot function\n",
        "      * [pandas.DataFrame.plot.barh](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.plot.barh.html)\n",
        "\n",
        "  * nlargest function:\n",
        "    * [pandas.DataFrame.nlargest](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.nlargest.html)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "J2f4iWTlUwPL"
      },
      "source": [
        "### Visualize Decision Boundaries"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mvo1ArXYbLKB"
      },
      "source": [
        "## Breast Cancer Dataset "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7hFSG9MvVu6R"
      },
      "source": [
        "BreastCancerData = load_breast_cancer()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jJB6XQuKbxQq",
        "outputId": "6eb9f93e-c1f9-4b39-e246-38a8d8fe037d"
      },
      "source": [
        "print(BreastCancerData.DESCR)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            ".. _breast_cancer_dataset:\n",
            "\n",
            "Breast cancer wisconsin (diagnostic) dataset\n",
            "--------------------------------------------\n",
            "\n",
            "**Data Set Characteristics:**\n",
            "\n",
            "    :Number of Instances: 569\n",
            "\n",
            "    :Number of Attributes: 30 numeric, predictive attributes and the class\n",
            "\n",
            "    :Attribute Information:\n",
            "        - radius (mean of distances from center to points on the perimeter)\n",
            "        - texture (standard deviation of gray-scale values)\n",
            "        - perimeter\n",
            "        - area\n",
            "        - smoothness (local variation in radius lengths)\n",
            "        - compactness (perimeter^2 / area - 1.0)\n",
            "        - concavity (severity of concave portions of the contour)\n",
            "        - concave points (number of concave portions of the contour)\n",
            "        - symmetry \n",
            "        - fractal dimension (\"coastline approximation\" - 1)\n",
            "\n",
            "        The mean, standard error, and \"worst\" or largest (mean of the three\n",
            "        largest values) of these features were computed for each image,\n",
            "        resulting in 30 features.  For instance, field 3 is Mean Radius, field\n",
            "        13 is Radius SE, field 23 is Worst Radius.\n",
            "\n",
            "        - class:\n",
            "                - WDBC-Malignant\n",
            "                - WDBC-Benign\n",
            "\n",
            "    :Summary Statistics:\n",
            "\n",
            "    ===================================== ====== ======\n",
            "                                           Min    Max\n",
            "    ===================================== ====== ======\n",
            "    radius (mean):                        6.981  28.11\n",
            "    texture (mean):                       9.71   39.28\n",
            "    perimeter (mean):                     43.79  188.5\n",
            "    area (mean):                          143.5  2501.0\n",
            "    smoothness (mean):                    0.053  0.163\n",
            "    compactness (mean):                   0.019  0.345\n",
            "    concavity (mean):                     0.0    0.427\n",
            "    concave points (mean):                0.0    0.201\n",
            "    symmetry (mean):                      0.106  0.304\n",
            "    fractal dimension (mean):             0.05   0.097\n",
            "    radius (standard error):              0.112  2.873\n",
            "    texture (standard error):             0.36   4.885\n",
            "    perimeter (standard error):           0.757  21.98\n",
            "    area (standard error):                6.802  542.2\n",
            "    smoothness (standard error):          0.002  0.031\n",
            "    compactness (standard error):         0.002  0.135\n",
            "    concavity (standard error):           0.0    0.396\n",
            "    concave points (standard error):      0.0    0.053\n",
            "    symmetry (standard error):            0.008  0.079\n",
            "    fractal dimension (standard error):   0.001  0.03\n",
            "    radius (worst):                       7.93   36.04\n",
            "    texture (worst):                      12.02  49.54\n",
            "    perimeter (worst):                    50.41  251.2\n",
            "    area (worst):                         185.2  4254.0\n",
            "    smoothness (worst):                   0.071  0.223\n",
            "    compactness (worst):                  0.027  1.058\n",
            "    concavity (worst):                    0.0    1.252\n",
            "    concave points (worst):               0.0    0.291\n",
            "    symmetry (worst):                     0.156  0.664\n",
            "    fractal dimension (worst):            0.055  0.208\n",
            "    ===================================== ====== ======\n",
            "\n",
            "    :Missing Attribute Values: None\n",
            "\n",
            "    :Class Distribution: 212 - Malignant, 357 - Benign\n",
            "\n",
            "    :Creator:  Dr. William H. Wolberg, W. Nick Street, Olvi L. Mangasarian\n",
            "\n",
            "    :Donor: Nick Street\n",
            "\n",
            "    :Date: November, 1995\n",
            "\n",
            "This is a copy of UCI ML Breast Cancer Wisconsin (Diagnostic) datasets.\n",
            "https://goo.gl/U2Uwz2\n",
            "\n",
            "Features are computed from a digitized image of a fine needle\n",
            "aspirate (FNA) of a breast mass.  They describe\n",
            "characteristics of the cell nuclei present in the image.\n",
            "\n",
            "Separating plane described above was obtained using\n",
            "Multisurface Method-Tree (MSM-T) [K. P. Bennett, \"Decision Tree\n",
            "Construction Via Linear Programming.\" Proceedings of the 4th\n",
            "Midwest Artificial Intelligence and Cognitive Science Society,\n",
            "pp. 97-101, 1992], a classification method which uses linear\n",
            "programming to construct a decision tree.  Relevant features\n",
            "were selected using an exhaustive search in the space of 1-4\n",
            "features and 1-3 separating planes.\n",
            "\n",
            "The actual linear program used to obtain the separating plane\n",
            "in the 3-dimensional space is that described in:\n",
            "[K. P. Bennett and O. L. Mangasarian: \"Robust Linear\n",
            "Programming Discrimination of Two Linearly Inseparable Sets\",\n",
            "Optimization Methods and Software 1, 1992, 23-34].\n",
            "\n",
            "This database is also available through the UW CS ftp server:\n",
            "\n",
            "ftp ftp.cs.wisc.edu\n",
            "cd math-prog/cpo-dataset/machine-learn/WDBC/\n",
            "\n",
            ".. topic:: References\n",
            "\n",
            "   - W.N. Street, W.H. Wolberg and O.L. Mangasarian. Nuclear feature extraction \n",
            "     for breast tumor diagnosis. IS&T/SPIE 1993 International Symposium on \n",
            "     Electronic Imaging: Science and Technology, volume 1905, pages 861-870,\n",
            "     San Jose, CA, 1993.\n",
            "   - O.L. Mangasarian, W.N. Street and W.H. Wolberg. Breast cancer diagnosis and \n",
            "     prognosis via linear programming. Operations Research, 43(4), pages 570-577, \n",
            "     July-August 1995.\n",
            "   - W.H. Wolberg, W.N. Street, and O.L. Mangasarian. Machine learning techniques\n",
            "     to diagnose breast cancer from fine-needle aspirates. Cancer Letters 77 (1994) \n",
            "     163-171.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1svYBxDcb3mf"
      },
      "source": [
        "X_BreastCancer,y_BreastCancer = pd.DataFrame(BreastCancerData.data,columns=BreastCancerData.feature_names),pd.Series(BreastCancerData.target,name = 'Diagnosis')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GxHC5ibkd_Xk"
      },
      "source": [
        "X_train,X_test,y_train,y_test = train_test_split(X_BreastCancer,y_BreastCancer)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DeP4ILvzd9gG"
      },
      "source": [
        "DTCancer = DecisionTreeClassifier()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1qHLIJspeNOR",
        "outputId": "a8983c25-a628-4c93-f9d9-6880b7cbeaff"
      },
      "source": [
        "DTCancer.fit(X_train,y_train)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
              "                       max_depth=None, max_features=None, max_leaf_nodes=None,\n",
              "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                       min_samples_leaf=1, min_samples_split=2,\n",
              "                       min_weight_fraction_leaf=0.0, presort='deprecated',\n",
              "                       random_state=None, splitter='best')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ipW3Ky6veYJ8",
        "outputId": "b6c24a81-dad4-41c9-c553-3d56bd116a22"
      },
      "source": [
        "print(\"DT F1 score (training data) = {}\".format(f1_score(y_train,DTCancer.predict(X_train))))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "DT F1 score (training data) = 1.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4H4Muq03eoOy",
        "outputId": "e64e12d9-0360-4e71-aced-bc06525cda8f"
      },
      "source": [
        "print(\"DT F1 score (test data) = {}\".format(f1_score(y_test,DTCancer.predict(X_test))))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "DT F1 score (test data) = 0.9255319148936169\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T4dT4ArOfFqS",
        "outputId": "8d60ffbd-5cb1-4596-f497-1848b8edadfb"
      },
      "source": [
        "print(DTCancer.tree_.max_depth)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "7\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1Rb-hFsTeuIS"
      },
      "source": [
        "### Reduce overfitting"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eQX35d2ve5xh"
      },
      "source": [
        "DTCancer2 = DecisionTreeClassifier(max_depth=3)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X1-lD6FQe5xm",
        "outputId": "6f82897c-eb10-4fd4-c3d9-27690b768ab3"
      },
      "source": [
        "DTCancer2.fit(X_train,y_train)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
              "                       max_depth=3, max_features=None, max_leaf_nodes=None,\n",
              "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                       min_samples_leaf=1, min_samples_split=2,\n",
              "                       min_weight_fraction_leaf=0.0, presort='deprecated',\n",
              "                       random_state=None, splitter='best')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SNS0iv5mffS9"
      },
      "source": [
        "* What does random_state in the classifier do? \n",
        "  * The problem of building an optimal tree is considered NP complete under various (even simple) aspects. \n",
        "  * Hence,  practical decision tree algos based on various heuristic such as the greedy algorithm\n",
        "  * https://stackoverflow.com/questions/39158003/confused-about-random-state-in-decision-tree-of-scikit-learn"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UrvdsQ0Re5xp",
        "outputId": "66ef9a70-cf4f-4c9c-e4f0-ac1ead112de4"
      },
      "source": [
        "print(\"DT F1 score (training data) = {}\".format(f1_score(y_train,DTCancer2.predict(X_train))))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "DT F1 score (training data) = 0.9691470054446462\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n3ASfspAe5xt",
        "outputId": "12f3cd9e-baa3-4511-bded-bd5163bee0ad"
      },
      "source": [
        "print(\"DT F1 score (test data) = {}\".format(f1_score(y_test,DTCancer2.predict(X_test))))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "DT F1 score (test data) = 0.9456521739130435\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Tn1XBDODKQy6"
      },
      "source": [
        "References: \n",
        "1. Applied Machine Learning in Python - Coursera "
      ]
    }
  ]
}