analysis_in_segments/HPFD_5_EDA.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/maxruther/HCP_Fraud_Detection/blob/main/analysis_in_segments/HPFD_5_EDA.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hWgOZnCKgl4g"
      },
      "source": [
        "# **EDA**\n",
        "## Healthcare Provider Fraud Detection - **Part 5**\n",
        "\n",
        "In this fifth segment of my claim fraud analysis, I begin exploratory data analysis, having just finished preprocessing the data.\n",
        "\n",
        "This section's main areas concern:\n",
        "- [Correlation analysis](#ca)\n",
        "- [Correlation-based feature selection](#cfs)\n",
        "- [Exploratory visualization](#exp-viz)\n",
        "\n",
        "<br></br>\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Quick Setup**\n",
        "\n"
      ],
      "metadata": {
        "id": "E2_kUxlplWzv"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Importing libraries**"
      ],
      "metadata": {
        "id": "_vFKQsgCsyyl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ],
      "metadata": {
        "id": "ZBe8kr3Jlqzs"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Loading objects from the preceding part**"
      ],
      "metadata": {
        "id": "TrAfRuMgqfSK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Mounting my Google Drive, where I've saved the preceding part's objects to file:\n",
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W2DlpC__qmPx",
        "outputId": "d4667534-326d-470c-9961-25dc24df007d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/gdrive; to attempt to forcibly remount, call drive.mount(\"/content/gdrive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Loading the objects necessary for this part\n",
        "\n",
        "# Project directory path in Google Drive\n",
        "project_dir_path = '/content/gdrive/MyDrive/fraud_data_dsc540/'\n",
        "\n",
        "# Loading the 'df' from the preceding part, 3:\n",
        "part4_filepath = project_dir_path + '/walkthrough/part_4/'\n",
        "\n",
        "df_train = pd.read_pickle(f'{part4_filepath}df_train.pkl')\n",
        "X_train = pd.read_pickle(f'{part4_filepath}X_train.pkl')"
      ],
      "metadata": {
        "id": "e34Qevzjq47F"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2SnckVvr96L-"
      },
      "source": [
        "### **Descriptive statistics**\n",
        "\n",
        "I begin the exploratory data analysis with a look at the descriptive statistics:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 349
        },
        "id": "cEKSBNZaiALV",
        "outputId": "32068146-9c75-424b-b9c7-f4371776b764"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Claim_Count  Claim_AmtTotal  Claim_AmtAvg  Claim_IPShare  \\\n",
              "count  4328.000000    4.328000e+03   4328.000000    4328.000000   \n",
              "mean     98.067237    9.955550e+04   1744.261364       0.145962   \n",
              "std     259.273587    2.597650e+05   3446.191716       0.289889   \n",
              "min       1.000000    0.000000e+00      0.000000       0.000000   \n",
              "25%      10.000000    4.477500e+03    235.204534       0.000000   \n",
              "50%      31.000000    1.948000e+04    358.178054       0.000000   \n",
              "75%      85.000000    8.500250e+04   1522.619048       0.133333   \n",
              "max    8240.000000    5.996050e+06  57000.000000       1.000000   \n",
              "\n",
              "       Claim_LengthAvg  condPrev_Alz  condPrev_HeartF  condPrev_KidneyD  \\\n",
              "count      4328.000000   4328.000000      4328.000000       4328.000000   \n",
              "mean          2.003315      0.394239         0.580263          0.405074   \n",
              "std           1.991245      0.178932         0.180243          0.187109   \n",
              "min           0.000000      0.000000         0.000000          0.000000   \n",
              "25%           0.852004      0.322472         0.500000          0.328571   \n",
              "50%           1.583333      0.388889         0.577737          0.391946   \n",
              "75%           2.559118      0.466667         0.660377          0.481481   \n",
              "max          20.000000      1.000000         1.000000          1.000000   \n",
              "\n",
              "       condPrev_Cancer  condPrev_ObstrP  ...  condPrev_Diab  \\\n",
              "count      4328.000000      4328.000000  ...    4328.000000   \n",
              "mean          0.149302         0.312382  ...       0.691969   \n",
              "std           0.128162         0.173164  ...       0.169551   \n",
              "min           0.000000         0.000000  ...       0.000000   \n",
              "25%           0.089486         0.239049  ...       0.625000   \n",
              "50%           0.138741         0.297297  ...       0.691154   \n",
              "75%           0.187500         0.375000  ...       0.764706   \n",
              "max           1.000000         1.000000  ...       1.000000   \n",
              "\n",
              "       condPrev_IschemicH  condPrev_Osteo  condPrev_Rheuma  condPrev_Stroke  \\\n",
              "count         4328.000000     4328.000000      4328.000000      4328.000000   \n",
              "mean             0.754007        0.315622         0.300313         0.101097   \n",
              "std              0.152914        0.169706         0.160534         0.109082   \n",
              "min              0.000000        0.000000         0.000000         0.000000   \n",
              "25%              0.690141        0.250000         0.232143         0.037037   \n",
              "50%              0.750000        0.307692         0.296938         0.089286   \n",
              "75%              0.823922        0.375000         0.360656         0.130435   \n",
              "max              1.000000        1.000000         1.000000         1.000000   \n",
              "\n",
              "       InsAmt_IP_ReimbAvg  InsAmt_IP_DeductAvg  InsAmt_OP_ReimbAvg  \\\n",
              "count         4328.000000          4328.000000         4328.000000   \n",
              "mean          5952.027522           641.675134         2026.114777   \n",
              "std           5932.495243           568.668434         1183.109168   \n",
              "min              0.000000             0.000000            0.000000   \n",
              "25%           2963.039699           356.000000         1459.318648   \n",
              "50%           4557.714768           499.956455         1852.615973   \n",
              "75%           7014.159664           767.718750         2320.000000   \n",
              "max         103000.000000         12068.000000        22853.333333   \n",
              "\n",
              "       InsAmt_OP_DeductAvg  PotentialFraud  \n",
              "count          4328.000000     4328.000000  \n",
              "mean            580.376005        0.093577  \n",
              "std             317.407059        0.291273  \n",
              "min               0.000000        0.000000  \n",
              "25%             431.919371        0.000000  \n",
              "50%             540.950665        0.000000  \n",
              "75%             666.279167        0.000000  \n",
              "max            6070.000000        1.000000  \n",
              "\n",
              "[8 rows x 21 columns]"
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Claim_Count</th>\n",
              "      <th>Claim_AmtTotal</th>\n",
              "      <th>Claim_AmtAvg</th>\n",
              "      <th>Claim_IPShare</th>\n",
              "      <th>Claim_LengthAvg</th>\n",
              "      <th>condPrev_Alz</th>\n",
              "      <th>condPrev_HeartF</th>\n",
              "      <th>condPrev_KidneyD</th>\n",
              "      <th>condPrev_Cancer</th>\n",
              "      <th>condPrev_ObstrP</th>\n",
              "      <th>...</th>\n",
              "      <th>condPrev_Diab</th>\n",
              "      <th>condPrev_IschemicH</th>\n",
              "      <th>condPrev_Osteo</th>\n",
              "      <th>condPrev_Rheuma</th>\n",
              "      <th>condPrev_Stroke</th>\n",
              "      <th>InsAmt_IP_ReimbAvg</th>\n",
              "      <th>InsAmt_IP_DeductAvg</th>\n",
              "      <th>InsAmt_OP_ReimbAvg</th>\n",
              "      <th>InsAmt_OP_DeductAvg</th>\n",
              "      <th>PotentialFraud</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4.328000e+03</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "      <td>4328.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>98.067237</td>\n",
              "      <td>9.955550e+04</td>\n",
              "      <td>1744.261364</td>\n",
              "      <td>0.145962</td>\n",
              "      <td>2.003315</td>\n",
              "      <td>0.394239</td>\n",
              "      <td>0.580263</td>\n",
              "      <td>0.405074</td>\n",
              "      <td>0.149302</td>\n",
              "      <td>0.312382</td>\n",
              "      <td>...</td>\n",
              "      <td>0.691969</td>\n",
              "      <td>0.754007</td>\n",
              "      <td>0.315622</td>\n",
              "      <td>0.300313</td>\n",
              "      <td>0.101097</td>\n",
              "      <td>5952.027522</td>\n",
              "      <td>641.675134</td>\n",
              "      <td>2026.114777</td>\n",
              "      <td>580.376005</td>\n",
              "      <td>0.093577</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>259.273587</td>\n",
              "      <td>2.597650e+05</td>\n",
              "      <td>3446.191716</td>\n",
              "      <td>0.289889</td>\n",
              "      <td>1.991245</td>\n",
              "      <td>0.178932</td>\n",
              "      <td>0.180243</td>\n",
              "      <td>0.187109</td>\n",
              "      <td>0.128162</td>\n",
              "      <td>0.173164</td>\n",
              "      <td>...</td>\n",
              "      <td>0.169551</td>\n",
              "      <td>0.152914</td>\n",
              "      <td>0.169706</td>\n",
              "      <td>0.160534</td>\n",
              "      <td>0.109082</td>\n",
              "      <td>5932.495243</td>\n",
              "      <td>568.668434</td>\n",
              "      <td>1183.109168</td>\n",
              "      <td>317.407059</td>\n",
              "      <td>0.291273</td>\n",
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              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>10.000000</td>\n",
              "      <td>4.477500e+03</td>\n",
              "      <td>235.204534</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.852004</td>\n",
              "      <td>0.322472</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.328571</td>\n",
              "      <td>0.089486</td>\n",
              "      <td>0.239049</td>\n",
              "      <td>...</td>\n",
              "      <td>0.625000</td>\n",
              "      <td>0.690141</td>\n",
              "      <td>0.250000</td>\n",
              "      <td>0.232143</td>\n",
              "      <td>0.037037</td>\n",
              "      <td>2963.039699</td>\n",
              "      <td>356.000000</td>\n",
              "      <td>1459.318648</td>\n",
              "      <td>431.919371</td>\n",
              "      <td>0.000000</td>\n",
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              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>31.000000</td>\n",
              "      <td>1.948000e+04</td>\n",
              "      <td>358.178054</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.583333</td>\n",
              "      <td>0.388889</td>\n",
              "      <td>0.577737</td>\n",
              "      <td>0.391946</td>\n",
              "      <td>0.138741</td>\n",
              "      <td>0.297297</td>\n",
              "      <td>...</td>\n",
              "      <td>0.691154</td>\n",
              "      <td>0.750000</td>\n",
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              "      <td>540.950665</td>\n",
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              "      <td>8.500250e+04</td>\n",
              "      <td>1522.619048</td>\n",
              "      <td>0.133333</td>\n",
              "      <td>2.559118</td>\n",
              "      <td>0.466667</td>\n",
              "      <td>0.660377</td>\n",
              "      <td>0.481481</td>\n",
              "      <td>0.187500</td>\n",
              "      <td>0.375000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.764706</td>\n",
              "      <td>0.823922</td>\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-a11116ac-c5b3-43ab-876d-ebe48d70da8c\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a11116ac-c5b3-43ab-876d-ebe48d70da8c')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-a11116ac-c5b3-43ab-876d-ebe48d70da8c button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "df_train.describe()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9IPA7UFA99wD"
      },
      "source": [
        "The widely varying minimums and maximums of these features suggest that the addition of **standardization** as a preprocessing step might aid any eventual modelling."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W8l1SaEg-Mn4"
      },
      "source": [
        "<a name=\"ca\"></a>\n",
        "### **Correlation Analysis**\n",
        "\n",
        "In this section I focus on analyzing the predictor attributes' intercorrelations, as well as their correlations to the target attribute, _PotentialFraud_.\n",
        "\n",
        "In this section's second half, I use this analysis to base a feature selection. Carrying out such **correlation-based feature selection (CFS)** is one of the various objectives of this work, as it's one of several techniques recommended by the literature for this context of heatlhcare fraud detection."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6zF_N92D1EJY"
      },
      "source": [
        "#### **Correlation Heatmap**\n",
        "\n",
        "There are 21 attributes in this dataset, including the target. At so high a count, printing all numeric values through the use of `DataFrame.corr()` alone would be overwhelmingly expansive to parse.\n",
        "\n",
        "I instead plot the intercorrelations in a heatmap, to gain a broader sense of them:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 825
        },
        "id": "ZVwlVduT77tw",
        "outputId": "e0ebd1dd-43aa-4f49-cc27-a6b7c7984b69"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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i4+NvOW5KSgoAGzZs4OTJk6xZs+a6Y/jwww/5+9//zujRo9m/fz+DBw+mf//+JCcnA1eqpwBxcXGcPHnS+jkzM5Mnn3ySpKQk9uzZQ6dOnejatSvHjx8v8fWLiIiIiMjdq9wloEeOHKGwsJDAwMBSnff666/zyCOP4OvrS9euXRkzZgzvvffedc/x8vJiwYIFBAQE8MILLxAQEEB2djbjx4/Hz8+P6OhoKlasyObNm0s0hsOHD7N9+3bCw8MBeO6554iLi6OwsPCW4lavXh2AqlWr2lQ8r2XWrFlERkby8ssv4+/vz6hRo+jRowezZs2y6c/T0xMfHx/r55CQEAYPHkzDhg3x8/PjzTff5IEHHuCTTz4p0fUD5OTkcOHCBZut4E+VaBERERGRUnEw2W8rh8pdAnp1slZSq1evplWrVvj4+ODu7s7rr79+w8pdcHAwDn8qrXt7e9OoUSPrZ0dHR6pWrUpGRkaJxrBs2TLCwsKoVq0aAE8++STnz5/nq6++KtO4V0tLS6NVq1Y2+1q1akVaWtp1z8vMzGTMmDEEBQXh6emJu7s7aWlppaqATps2DQ8PD5vt+8SPbuYyRERERETEYOUuAfXz88NkMpVqoaFt27YRERHBk08+yX//+1/27NnDa6+9Rm5u7nXPq1Chgs1nk8lU7D6LxXLDMRQUFLB8+XI+++wznJyccHJywtXVlbNnz7Js2bIyi3s7jRkzhg8//JCpU6fyzTffkJqaSqNGjW54H/8sOjqa8+fP22zBf+tedoMWERERkXubXsNiqHK3Cq6XlxdhYWEsXLiQESNGFHkO9Ny5c0WeA926dSv3338/r732mnXfTz/9ZMRwrT7//HMuXrzInj17cHR0tO7fv38//fv3L3bcJVWxYkUA66q3NxIUFMSWLVvo16+fdd+WLVt48MEHrZ8rVKhQpL8tW7YQGRnJ008/DVypiB47dqxUY3V2dsbZ2dlmn+NVybWIiIiIiNyZymXavXDhQgoKCnjooYf44IMPOHz4MGlpaSxYsICHH364SHs/Pz+OHz/OqlWrSE9PZ8GCBXz44YeGjnnp0qV06dKFkJAQGjZsaN169+6Np6cnCQkJN913jRo1MJvNrFu3jtOnT3P+/Pnrth87dizx8fEsXryYw4cPM2fOHNasWcOYMWOsbXx9fUlKSuLUqVP8/vvvwJX7uGbNGlJTU/nuu+949tlnDa/CioiIiIiI/ZTLBLR+/frs3r2btm3bMnr0aBo2bEjHjh1JSkpi8eLFRdr/9a9/5ZVXXmHYsGE0adKErVu3EhMTY9h4T58+zWeffUbPnj2LHHNwcODpp59m6dKlN92/k5MTCxYs4F//+he1atWiW7du123fvXt35s+fz6xZswgODuZf//oXcXFxPP7449Y2s2fP5ssvv6ROnTo0bdoUgDlz5lClShUeeeQRunbtSlhYGM2aNbvpcYuIiIiI3DK9hsVQpsKbXZVH5A7x3H9X2yVuwozphsdMTvzY8JgAl/LzDY/pYy76miQj3O/sanjMfDv9GM4rNH4GgrujfZ78uGQp2SMGt5OLyfHGjcpAPuXnr3Wzg33ucY4dvp7sNV/odO4lw2Pa61ofqGiPR3rsc7XdPvzA8JhfPj/I8Jgl5dD3b3aLbVmRaLfY9lLungEVERERERGxKqeVSHvR3b5DTJ06FXd392K3zp0723t4IiIiIiIit0wV0DvEkCFD6N27d7HHzGazwaMRERERERG5/ZSA3iG8vLzw8vKy9zBERERERMqXcvo+TnvR3RYRERERERFDqAIqIiIiIiLll4PJ3iMoV1QBFREREREREUMoARURERERERFDmAoL7fQGdJHbJPv8T3aJm3LJ+Okabf/WzfCYAKb76xseM7BJU8NjAqx5cYjhMc/k5RgeE+DI+TOGx+zs42t4TICd5zIMjxlUyT4Ly53Nt8/XU74d/jnRwFzJ8JgAF/LzDI/5m51+TjwdO8/wmPfVrGl4TICNfQcaH9Ry2fiYwN5Lxn89/aV6LcNjlpTDwOfsFtuy5H/sFtteVAEVERERERERQ2gRIhERERERKb/0GhZD6W6LiIiIiIiIIVQBFRERERGRcsvkoJqckXS3RURERERExBBKQEVERERERMQQmoIrIiIiIiLlloOm4BpKd1tEREREREQMoQT0JphMJj766KMSt580aRJNmjQps/GIiIiIiMjNcXBwsNtWHpXPq76BU6dOMXz4cOrXr4+zszN16tSha9euJCUl3VR/Y8aMuelzS2vw4ME4OjqSmJh4W/o7duwYJpOJ1NTUYo///PPPVKxYkYYNG96WeCIiIiIicu9SAnqVY8eO0bx5c7766iveeust9u3bx7p162jbti1Dhw69qT7d3d2pWrXqbR5pUdnZ2axatYpx48axbNmyMo8HEB8fT+/evblw4QI7duwwJKaIiIiIiNydlIBe5eWXX8ZkMpGSkkLPnj3x9/cnODiYUaNGsX379mLPiYqKwt/fH1dXV+rXr09MTAx5eXnW41dPwY2MjKR79+5MnToVb29vPD09mTx5Mvn5+YwdOxYvLy9q165NXFxcqcaemJjIgw8+yKuvvsrXX3/NiRMnbI7fTNx69eoB0LRpU0wmE48//rj1WGFhIXFxcTz//PM8++yzLF261Hps/PjxtGzZssgYQ0JCmDx5MgD5+fmMGDECT09PqlatSlRUFP369aN79+6lum4RERERkZulKbjGKp9XfQ1nz55l3bp1DB06FDc3tyLHPT09iz2vUqVKxMfHc+DAAebPn8+SJUuYO3fudWN99dVX/PLLL3z99dfMmTOHiRMn8tRTT1GlShV27NjBkCFDGDx4MD///HOJx7906VKee+45PDw86Ny5M/Hx8bccNyUlBYANGzZw8uRJ1qxZY+0rOTmZ7OxsOnTowHPPPceqVavIysoCICIigpSUFNLT063tv//+e/bu3cuzzz4LwIwZM0hISCAuLo4tW7Zw4cKFUj1bKyIiIiIidxcloH9y5MgRCgsLCQwMLNV5r7/+Oo888gi+vr507dqVMWPG8N577133HC8vLxYsWEBAQAAvvPACAQEBZGdnM378ePz8/IiOjqZixYps3ry5RGM4fPgw27dvJzw8HIDnnnuOuLg4CgsLbylu9erVAahatSo+Pj54eXlZ+1q6dCnPPPMMjo6ONGzYkPr161ufPQ0ODiYkJISVK1da2yckJNCyZUsaNGgAwD//+U+io6N5+umnCQwMJDY29ppJ/h9ycnK4cOGCzZaTk1OieyQiIiIicjVVQI1VPq/6Gq5O1kpq9erVtGrVCh8fH9zd3Xn99dc5fvz4dc8JDg62+aLz9vamUaNG1s+Ojo5UrVqVjIyMEo1h2bJlhIWFUa1aNQCefPJJzp8/z1dffVUmcc+dO8eaNWt47rnnrPuee+45m2m4ERER1gS0sLCQd999l4iICADOnz/P6dOneeihh2xiN2/e/Lpxp02bhoeHh802a86i654jIiIiInIvWLhwIb6+vri4uNCyZUvrbMXiPP7445hMpiJbly5drG0iIyOLHO/UqVOZXoNTmfZ+l/Hz88NkMvHDDz+U+Jxt27YRERHBG2+8QVhYGB4eHqxatYrZs2df97wKFSrYfDaZTMXus1gsNxxDQUEBy5cv59SpUzg5OdnsX7ZsGe3bt7/tcVeuXMnly5dtnvMsLCzEYrFw6NAh/P396dOnD1FRUezevZtLly5x4sQJa4X2ZkVHRzNq1CibfQWXT91SnyIiIiJSft0tlcjVq1czatQo3n77bVq2bMm8efMICwvj4MGD1KhRo0j7NWvWkJuba/185swZQkJC+Nvf/mbTrlOnTjZrwDg7O5fdRaAE1IaXlxdhYWEsXLiQESNGFHkO9Ny5c0WmiG7dupX777+f1157zbrvp59+MmK4Vp9//jkXL15kz549ODo6Wvfv37+f/v37FzvukqpYsSJwJZn9s6VLlzJ69GgiIyNt9r/88sssW7aM6dOnU7t2bdq0aUNCQgKXLl2iY8eO1m8ODw8PvL292blzJ4899pg1xu7du6/7zlRnZ+ci3xTZhb/f1LWJiIiIiNwt5syZw8CBA+nfvz8Ab7/9Np999hnLli3j1VdfLdL+z4/OAaxatQpXV9ciCaizszM+Pj5lN/Cr3B3pvoEWLlxIQUEBDz30EB988AGHDx8mLS2NBQsW8PDDDxdp7+fnx/Hjx1m1ahXp6eksWLCADz/80NAxL126lC5duhASEkLDhg2tW+/evfH09CQhIeGm+65RowZms5l169Zx+vRpzp8/T2pqKrt372bAgAE28Ro2bEifPn1Yvnw5+fn5wJVpuKtWrSIxMdE6/fYPw4cPZ9q0aXz88cccPHiQv//97/z++++YTKZbuh8iIiIiIneDkq5vkpuby65du+jQoYN1n4ODAx06dGDbtm0livXH+i1XF9k2btxIjRo1CAgI4KWXXuLMmTO3dlE3oAT0KvXr12f37t20bduW0aNH07BhQzp27EhSUhKLFy8u0v6vf/0rr7zyCsOGDaNJkyZs3bqVmJgYw8Z7+vRpPvvsM3r27FnkmIODA08//bTNc5ml5eTkxIIFC/jXv/5FrVq16NatG0uXLuXBBx8sdrGmp59+moyMDD7//HMAevXqxZkzZ8jOzi7yepWoqCj69OlD3759efjhh3F3dycsLAwXF5ebHq+IiIiISGk4mEx224pb32TatGlFxvjbb79RUFCAt7e3zX5vb29Onbrx42gpKSns37+fAQMG2Ozv1KkTK1asICkpiRkzZrBp0yY6d+5cZPbj7WQqvNmVd0RuM4vFQlBQEL179+bNN98s8XnZ542d8vyHlEvGV2rb/q2b4TEBTPfXNzxmYJOmhscEWPPiEMNjnsmzz0rOR86X7W84i9PZx9fwmAA7z5VsQbfbKaiS140blYGz+fb5esq3wz8nGpgrGR4T4EJ+3o0b3Wa/2ennxNOx8wyPeV/NmobHBNjYd6DxQS2XjY8J7L1k/NfTX6rXMjxmSXmMHmq32BlT5xSpeBb3yNkvv/zCfffdx9atW21mZY4bN45NmzaxY8eO68YZPHgw27ZtY+/evddt9+OPP/LAAw+wYcMGm3Vkbic9Ayp289NPP/HFF1/Qpk0bcnJyiI2N5ejRo9b3hIqIiIiIlDV7LkJUXLJZnGrVquHo6Mjp06dt9p8+ffqGz29mZWWxatUqJk+efMM49evXp1q1ahw5cqTMElBNwb0LTJ06FXd392K3zp0723t4N83BwYH4+HhCQ0Np1aoV+/btY8OGDQQFBdl7aCIiIiIid4yKFSvSvHlzkpKSrPssFgtJSUnFrlPzZ4mJieTk5Ni8PvFafv75Z86cOUPNMpyJoAroXWDIkCH07t272GNms9ng0dw+derUYcuWLfYehoiIiIjIHW/UqFH069ePFi1a8NBDDzFv3jyysrKsq+L27duX++67r8gzpEuXLqV79+5UrVrVZn9mZiZvvPEGPXv2xMfHh/T0dMaNG0eDBg0ICwsrs+tQAnoX8PLyKrKMsoiIiIiI3Lq75T2g4eHh/Prrr0yYMIFTp07RpEkT1q1bZ12Y6Pjx40Wu5eDBg2zevJkvvviiSH+Ojo7s3buX5cuXc+7cOWrVqsUTTzzBm2++WabvAlUCKiIiIiIichcYNmwYw4YNK/bYxo0bi+wLCAjgWmvOms1m1q9ffzuHVyJKQEVEREREpNy6Wyqg9wrdbRERERERETGEKqAiIiIiIlJuqQJqLN1tERERERERMYQqoHL3K7TYJeyl/OIf6C5LpvvrGx4ToPCnHw2PaQlpYnhMgHP5uYbHzLMUGB4TICs/z/iYlnzDYwJcyM0xPOYlO11rph3+XAFcHI3/J0WexT4//y0Y//P/TM4lw2MCVK1SxfCYJ/73fw2PCUBBpvExC+3zc6LA+C9hESsloCIiIiIiUm5pCq6xdLdFRERERETEEKqAioiIiIhIuaUKqLF0t0VERERERMQQSkBFRERERETEEJqCKyIiIiIi5ZajpuAaSndbREREREREDKEE9BaYTCY++uijErefNGkSTZo0KbPxlJXSXqeIiIiIyN3CwcHBblt5VD6vuoROnTrF8OHDqV+/Ps7OztSpU4euXbuSlJR0U/2NGTPmps8tqauTRZPJZN08PDxo1aoVX331lfX4r7/+yksvvUTdunVxdnbGx8eHsLAwtmzZUqbjFBERERGR8kfPgF7DsWPHaNWqFZ6enrz11ls0atSIvLw81q9fz9ChQ/nhhx9K3ae7uzvu7u5lMNrri4uLo1OnTvz222+89tprPPXUU+zfv5/69evTs2dPcnNzWb58OfXr1+f06dMkJSVx5syZMh1Tbm4uFStWLNMYIiIiIiI3Ul4rkfaiu30NL7/8MiaTiZSUFHr27Im/vz/BwcGMGjWK7du3F3tOVFQU/v7+uLq6Ur9+fWJiYsjLy7Mev3oKbmRkJN27d2fq1Kl4e3vj6enJ5MmTyc/PZ+zYsXh5eVG7dm3i4uJu6Vo8PT3x8fGhYcOGLF68mEuXLvHll19y7tw5vvnmG2bMmEHbtm25//77eeihh4iOjuavf/2rTR+//fYbTz/9NK6urvj5+fHJJ59YjxUUFPDiiy9Sr149zGYzAQEBzJ8/3+b8P651ypQp1KpVi4CAAABOnDhB79698fT0xMvLi27dunHs2LFbul4REREREbkzKQEtxtmzZ1m3bh1Dhw7Fzc2tyHFPT89iz6tUqRLx8fEcOHCA+fPns2TJEubOnXvdWF999RW//PILX3/9NXPmzGHixIk89dRTVKlShR07djBkyBAGDx7Mzz//fDsuDbPZDFypQP5Rkf3oo4/Iycm57nlvvPEGvXv3Zu/evTz55JNERERw9uxZACwWC7Vr1yYxMZEDBw4wYcIExo8fz3vvvWfTR1JSEgcPHuTLL7/kv//9L3l5eYSFhVGpUiW++eYbtmzZgru7O506dSI3N/e2XK+IiIiIiNw5lIAW48iRIxQWFhIYGFiq815//XUeeeQRfH196dq1K2PGjCmShF3Ny8uLBQsWEBAQwAsvvEBAQADZ2dmMHz8ePz8/oqOjqVixIps3b76VSwIgOzub119/HUdHR9q0aYOTkxPx8fEsX74cT09PWrVqxfjx49m7d2+RcyMjI+nTpw8NGjRg6tSpZGZmkpKSAkCFChV44403aNGiBfXq1SMiIoL+/fsXuXY3NzfeeecdgoODCQ4OZvXq1VgsFt555x0aNWpEUFAQcXFxHD9+nI0bNxZ7DTk5OVy4cMFmu1HyLCIiIiJyLVqEyFjl86pvoLCw8KbOW716Na1atcLHxwd3d3def/11jh8/ft1zgoODbb74vL29adSokfWzo6MjVatWJSMj46bGBNCnTx/c3d2pVKkSH3zwAUuXLqVx48YA9OzZk19++YVPPvmETp06sXHjRpo1a0Z8fLxNH3+0hyuJZOXKlW3GtHDhQpo3b0716tVxd3fn3//+d5Frb9Sokc1zn9999x1HjhyhUqVK1mqsl5cXly9fJj09vdhrmTZtGh4eHjbbrLmLb/reiIiIiIiIcbQIUTH8/PwwmUylWmho27ZtRERE8MYbbxAWFoaHhwerVq1i9uzZ1z2vQoUKNp9NJlOx+ywWS8kv4Cpz586lQ4cOeHh4UL169SLHXVxc6NixIx07diQmJoYBAwYwceJEIiMjrzvOP8a0atUqxowZw+zZs3n44YepVKkSb731Fjt27LA55+rpzJmZmTRv3pyEhIQiYypunADR0dGMGjXKZl/BpV+uffEiIiIiItdRXiuR9qIEtBheXl6EhYWxcOFCRowYUSRxOnfuXJHnQLdu3cr999/Pa6+9Zt33008/GTHcG/Lx8aFBgwYlbv/ggw+W6r2fW7Zs4ZFHHuHll1+27rtWBfPPmjVrxurVq6lRowaVK1cuUSxnZ2ecnZ1t9mVbynbFXhERERERuT2U7l/DwoULKSgo4KGHHuKDDz7g8OHDpKWlsWDBAh5++OEi7f38/Dh+/DirVq0iPT2dBQsW8OGHH9ph5CV35swZ2rVrx//8z/+wd+9ejh49SmJiIjNnzqRbt24l7sfPz49vv/2W9evXc+jQIWJiYti5c+cNz4uIiKBatWp069aNb775hqNHj7Jx40ZGjBhx2xZdEhERERGRO4cqoNdQv359du/ezZQpUxg9ejQnT56kevXqNG/enMWLiz5z+Ne//pVXXnmFYcOGkZOTQ5cuXYiJiWHSpEnGD76E3N3dadmyJXPnziU9PZ28vDzq1KnDwIEDGT9+fIn7GTx4MHv27CE8PByTyUSfPn14+eWXWbt27XXPc3V15euvvyYqKooePXpw8eJF7rvvPtq3b1/iiqiIiIiIyK3QFFxjmQpvdsUdkTtE9rmjdom7KdP4b50ur441PCZA4U8/Gh4z4K89DI8JEB/5ouExLxfkGx4T4MDvvxoes3OteobHBNj+20nDYzauUvyz7GXt19zLdonr4mj877Tvdy76qjQjZFmM/549nHne8JgAUe9ffzX/svDrGfs8WpM+bozxQQvt8/N/jx1+TLSqcZ/xQUso8K037Rb7h7ExdottL6qAioiIiIhIueVgMtl7COWK6s13kalTp1pfV3L11rlzZ3sPT0RERERE5LpUAb2LDBkyhN69exd7zGw2GzwaEREREZG7n54BNZYS0LuIl5cXXl5e9h6GiIiIiIjITVG6LyIiIiIiIoZQBVRERERERMotTcE1lu62iIiIiIiIGEIVUBERERERKbdUATWW7raIiIiIiIgYQhVQufs5utolrI8d3nwT2KSp8UEBS0gTw2Me/GSN4TEBKr84xPCYuZYCw2MCVKnoYnjMSo4VDI8JUNXF+J8Tjib7/I63SgVnu8TNLyw0PKaznaoWuYXGxzU72eefbC0fDLBLXHs4nu9oeEwnk33+XCs72efvHRFQAioiIiIiIuWYpuAaS3dbREREREREDKEKqIiIiIiIlFuqgBpLd1tEREREREQMoQqoiIiIiIiUW6qAGkt3W0RERERERAyhBFREREREREQMoSm4IiIiIiJSbjlqCq6hys3dNplMfPTRRyVuP2nSJJo0aVJm47nTlfZ+iYiIiIiI3Mg9k4CeOnWK4cOHU79+fZydnalTpw5du3YlKSnppvobM2bMTZ9bUndCknc7Eu2wsDAcHR3ZuXPn7RmUiIiIiIhBHB0c7LaVR/fEFNxjx47RqlUrPD09eeutt2jUqBF5eXmsX7+eoUOH8sMPP5S6T3d3d9zd3ctgtPeW48ePs3XrVoYNG8ayZcsIDQ2195BEREREROQOdU+k3S+//DImk4mUlBR69uyJv78/wcHBjBo1iu3btxd7TlRUFP7+/ri6ulK/fn1iYmLIy8uzHr+6MhgZGUn37t2ZOnUq3t7eeHp6MnnyZPLz8xk7dixeXl7Url2buLi423Zd77zzDkFBQbi4uBAYGMiiRYusx44dO4bJZGLNmjW0bdsWV1dXQkJC2LZtm00fS5YsoU6dOri6uvL0008zZ84cPD09AYiPj+eNN97gu+++w2QyYTKZiI+Pt57722+/8fTTT+Pq6oqfnx+ffPJJkTHGxcXx1FNP8dJLL/Huu+9y6dIlAA4dOoTJZCqS/M+dO5cHHnjA+vmTTz7Bz88PFxcX2rZty/LlyzGZTJw7d+4W756IiIiIiNxp7voE9OzZs6xbt46hQ4fi5uZW5PgfydbVKlWqRHx8PAcOHGD+/PksWbKEuXPnXjfWV199xS+//MLXX3/NnDlzmDhxIk899RRVqlRhx44dDBkyhMGDB/Pzzz/f8nUlJCQwYcIEpkyZQlpaGlOnTiUmJobly5fbtHvttdcYM2YMqamp+Pv706dPH/Lz8wHYsmULQ4YM4e9//zupqal07NiRKVOmWM8NDw9n9OjRBAcHc/LkSU6ePEl4eLj1+BtvvEHv3r3Zu3cvTz75JBEREZw9e9Z6vLCwkLi4OJ577jkCAwNp0KAB77//PgD+/v60aNGChISEItf17LPPAnD06FF69epF9+7d+e677xg8eDCvvfbaLd87EREREZGS0hRcY931V33kyBEKCwsJDAws1Xmvv/46jzzyCL6+vnTt2pUxY8bw3nvvXfccLy8vFixYQEBAAC+88AIBAQFkZ2czfvx4/Pz8iI6OpmLFimzevPlWLgmAiRMnMnv2bHr06EG9evXo0aMHr7zyCv/6179s2o0ZM4YuXbrg7+/PG2+8wU8//cSRI0cA+Oc//0nnzp0ZM2YM/v7+vPzyy3Tu3Nl6rtlsxt3dHScnJ3x8fPDx8cFsNluPR0ZG0qdPHxo0aMDUqVPJzMwkJSXFenzDhg1kZ2cTFhYGwHPPPcfSpUutxyMiInj33Xetnw8dOsSuXbuIiIgA4F//+hcBAQG89dZbBAQE8MwzzxAZGXnd+5KTk8OFCxdstpycnFLeXRERERERsYe7PgEtLCy8qfNWr15Nq1at8PHxwd3dnddff53jx49f95zg4GAc/vSbCm9vbxo1amT97OjoSNWqVcnIyLipMf0hKyuL9PR0XnzxReuzqO7u7vzjH/8gPT3dpm3jxo2t/12zZk0Aa/yDBw/y0EMP2bS/+vP1/LlvNzc3KleubHNty5YtIzw8HCenK48S9+nThy1btljH+Mwzz3Ds2DHrNOiEhASaNWtm/WXBwYMHizwzeqPxTZs2DQ8PD5tt1uwFJb4mEREREZE/UwXUWHf9Vfv5+RX7rOH1bNu2jYiICJ588kn++9//smfPHl577TVyc3Ove16FChVsPptMpmL3WSyWkl9AMTIzM4Erz2+mpqZat/379xd5pvXP8U0mE8Atxy+u7z/6/6Pvs2fP8uGHH7Jo0SKcnJxwcnLivvvuIz8/n2XLlgHg4+NDu3btWLlyJQArV660Vj9vVnR0NOfPn7fZxowecUt9ioiIiIiIMe76VXC9vLwICwtj4cKFjBgxoshzoOfOnSvyHOjWrVu5//77bZ43/Omnn4wYbol4e3tTq1Ytfvzxx1tK2AICAoq8GuXqzxUrVqSgoKDUfSckJFC7du0ir5H54osvmD17NpMnT8bR0ZGIiAjGjRtHnz59+PHHH3nmmWdsxvf5559fd3xXc3Z2xtnZ2WZf9sVLpR6/iIiIiIgY765PQAEWLlxIq1ateOihh5g8eTKNGzcmPz+fL7/8ksWLF5OWlmbT3s/Pj+PHj7Nq1SpCQ0P57LPP+PDDD+0y9qNHj5KamlpkfG+88QYjRozAw8ODTp06kZOTw7fffsvvv//OqFGjStT38OHDeeyxx5gzZw5du3blq6++Yu3atdZKKYCvr691DLVr16ZSpUpFErziLF26lF69etGwYUOb/XXq1CE6Opp169bRpUsXevTowUsvvcRLL71E27ZtqVWrlrXt4MGDmTNnDlFRUbz44oukpqZaV+H98xhFRERERMqKo+NdPyn0rnJP3O369euze/du2rZty+jRo2nYsCEdO3YkKSmJxYsXF2n/17/+lVdeeYVhw4bRpEkTtm7dSkxMjB1GDqNGjaJp06Y22549exgwYADvvPMOcXFxNGrUiDZt2hAfH0+9evVK3HerVq14++23mTNnDiEhIaxbt45XXnkFFxcXa5uePXvSqVMn2rZtS/Xq1W0WDbqWXbt28d1339GzZ88ixzw8PGjfvr11MaJKlSrRtWtXvvvuuyLV3Hr16vH++++zZs0aGjduzOLFi61V6ZIkwSIiIiIicncxFd7sKj5yVxo4cCA//PAD33zzjb2HUqwpU6bw9ttvc+LEiRKfk33xdBmO6NoOXv+R4TIREbfE+KCAxQ4/Jg5+ssbwmADff/yF4TF/y7tseEyA/828YHjMjt51DY8JsPv8b4bHrOtayfCYADmW0j9WcTvk2+HnRD2Xoq9fM8LFgnzDYx69dNHwmAAJe3fZJa49jA5tbXhMJzvN+Lpkh58TjbxqGB6zpDolvGO32OsiBtgttr3cE1Nw5dpmzZpFx44dcXNzY+3atSxfvpxFixbZe1hWixYtIjQ0lKpVq7Jlyxbeeusthg0bZu9hiYiIiIhIGVACWkamTp3K1KlTiz3WunVr1q5da8g4UlJSmDlzJhcvXqR+/fosWLCAAQPunN+0HD58mH/84x+cPXuWunXrMnr0aKKjo+09LBEREREpJ8rr61DsRQloGRkyZAi9e/cu9pjZbDZsHO+9955hsW7G3LlzmTt3rr2HISIiIiIiBlACWka8vLzw8vKy9zBERERERETuGEpARURERESk3NIUXGPpbouIiIiIiIghVAEVEREREZFyy0EVUEPpbouIiIiIiIghTIWFdnhztMhtlJ15xi5xL1PR8JgZeTmGxwQ4l59reMzKjhUMjwkQ3O0Jw2OuX7XG8JgAjnZ4AXo918qGxwQ4m2/8947ZwdHwmAAXC/LtEtce37NujvaZyJVjKTA8pr3+XO1xj0/lZBseE6Cui7vhMe3xcxjAww7fr57uxt/fkuqeuMJusT/6W1+7xbYXTcEVEREREZFyS4sQGUt3W0RERERERAyhCqiIiIiIiJRbqoAaS3dbRERERETkLrBw4UJ8fX1xcXGhZcuWpKSkXLNtfHw8JpPJZnNxcbFpU1hYyIQJE6hZsyZms5kOHTpw+PDhMr0GJaAiIiIiIlJuOTo42G0rjdWrVzNq1CgmTpzI7t27CQkJISwsjIyMjGueU7lyZU6ePGndfvrpJ5vjM2fOZMGCBbz99tvs2LEDNzc3wsLCuHz58k3dy5JQAioiIiIiInKHmzNnDgMHDqR///48+OCDvP3227i6urJs2bJrnmMymfDx8bFu3t7e1mOFhYXMmzeP119/nW7dutG4cWNWrFjBL7/8wkcffVRm16EEVERERERExA5ycnK4cOGCzZaTU/TVYbm5uezatYsOHTpY9zk4ONChQwe2bdt2zf4zMzO5//77qVOnDt26deP777+3Hjt69CinTp2y6dPDw4OWLVtet89bpQRURERERETKLUdHk922adOm4eHhYbNNmzatyBh/++03CgoKbCqYAN7e3pw6darY6woICGDZsmV8/PHH/M///A8Wi4VHHnmEn3/+GcB6Xmn6vB2UgN4lfH19mTdvnr2HccuOHTuGyWQiNTXV3kMREREREbGr6Ohozp8/b7NFR0fflr4ffvhh+vbtS5MmTWjTpg1r1qyhevXq/Otf/7ot/d8sJaB3KV9fX+tqVm5ubjRr1ozExER7DwuAn3/+mYoVK9KwYUN7D0VERERE5LrsuQiRs7MzlStXttmcnZ2LjLFatWo4Ojpy+vRpm/2nT5/Gx8enRNdZoUIFmjZtypEjRwCs591KnzdDCehdbPLkyZw8eZI9e/YQGhpKeHg4W7duLbZtbm6uYeOKj4+nd+/eXLhwgR07dhgWV0RERETkXlSxYkWaN29OUlKSdZ/FYiEpKYmHH364RH0UFBSwb98+atasCUC9evXw8fGx6fOPf7+XtM+boQT0JlgsFmbOnEmDBg1wdnambt26TJkyBYB9+/bRrl07zGYzVatWZdCgQWRmZlrPjYyMpHv37syaNYuaNWtStWpVhg4dSl5enrVNRkYGXbt2xWw2U69ePRISEoodR6VKlfDx8cHf35+FCxdiNpv59NNPgSsV0jfffJO+fftSuXJlBg0aBMDmzZtp3bo1ZrOZOnXqMGLECLKysgAYP348LVu2LBInJCSEyZMnl+jeFBYWEhcXx/PPP8+zzz7L0qVLr9s+MjKyyPuJTCYTGzduLFE8EREREZHyYNSoUSxZsoTly5eTlpbGSy+9RFZWFv379wegb9++NtN3J0+ezBdffMGPP/7I7t27ee655/jpp58YMGAAcGWF3JEjR/KPf/yDTz75hH379tG3b19q1apF9+7dy+w6lIDehOjoaKZPn05MTAwHDhxg5cqVeHt7k5WVRVhYGFWqVGHnzp0kJiayYcMGhg0bZnN+cnIy6enpJCcns3z5cuLj44mPj7cej4yM5MSJEyQnJ/P++++zaNGi677fB8DJyYkKFSrYVDpnzZpFSEgIe/bsISYmhvT0dDp16kTPnj3Zu3cvq1evZvPmzdbxRUREkJKSQnp6urWP77//nr179/Lss8+W6N4kJyeTnZ1Nhw4deO6551i1apU1wS3O/Pnzbd5N9Pe//50aNWoQGBhYongiIiIiIrfibnkPaHh4OLNmzWLChAk0adKE1NRU1q1bZ11E6Pjx45w8edLa/vfff2fgwIEEBQXx5JNPcuHCBbZu3cqDDz5obTNu3DiGDx/OoEGDCA0NJTMzk3Xr1uHi4nJ7bm4xTIWFhYVl1vs96OLFi1SvXp3Y2Fjrbw/+sGTJEqKiojhx4gRubm4AfP7553Tt2pVffvkFb29vIiMj2bhxI+np6Tg6OgLQu3dvHBwcWLVqFYcOHSIgIICUlBRCQ0MB+OGHHwgKCmLu3LmMHDkSuFLhHDlyJCNHjiQ3N5fZs2czfvx4/vvf/9KlSxd8fX1p2rQpH374oXV8AwYMwNHR0ebB482bN9OmTRuysrJwcXGhSZMm9OzZk5iYGOBKVfSrr75i+/btJbo/ERER1KhRg7lz5wLQpEkTRo4cSWRkJHBlEaJ69eqxZ88emjRpYnPumjVriIiIYMOGDbRq1arY/nNycoosTV2Ql1nsXPmydpmKhsfMyCu6LLcRzuUbN4X7D5UdKxgeEyC42xOGx1y/ao3hMQEcTSbDY9ZzrWx4TICz+cZ/75gdHA2PCXCxIN8uce3xPevm6GR4TIAcS4HhMe3152qPe3wqJ9vwmAB1XdwNj2mPn8MAHnb4fvV0N/7+ltQL6z6wW+xlnXraLba9qAJaSmlpaeTk5NC+fftij4WEhFiTT4BWrVphsVg4ePCgdV9wcLA1+QSoWbOmtcKZlpaGk5MTzZs3tx4PDAzE09OzSLyoqCjc3d1xdXVlxowZTJ8+nS5duliPt2jRwqb9d999R3x8PO7u7tYtLCwMi8XC0aNHgSsJ5MqVK4Er02nfffddIiIiSnRvzp07x5o1a3juuees+5577rkbTsMF2LNnD88//zyxsbHXTD6BYpeqnjV7XonGJyIiIiJytbulAnqvsM+vDu9iZrP5lvuoUMH2t04mkwmLxVLqfsaOHUtkZCTu7u54e3tjuuq3aH9OhOHKi2gHDx7MiBEjivRVt25dAPr06UNUVBS7d+/m0qVLnDhxgvDw8BKNZ+XKlVy+fNnmOdLCwkIsFguHDh3C39+/2PNOnTrFX//6VwYMGMCLL7543RjR0dGMGjXKZl9BXuY1WouIiIiIyJ1ECWgp+fn5YTabSUpKKjIFNygoiPj4eLKysqzJ35YtW3BwcCAgIKBE/QcGBpKfn8+uXbusU3APHjzIuXPnirStVq0aDRo0KPHYmzVrxoEDB657Tu3atWnTpg0JCQlcunSJjh07UqNGjRL1v3TpUkaPHm2dbvuHl19+mWXLljF9+vQi51y+fJlu3boRGBjInDlzbhjD2dm5yHTb7My8a7QWEREREbm+8lqJtBcloKXk4uJCVFQU48aNo2LFirRq1Ypff/2V77//noiICCZOnEi/fv2YNGkSv/76K8OHD+f555+3Phx8IwEBAXTq1InBgwezePFinJycGDly5G2pvEZFRfGXv/yFYcOGMWDAANzc3Dhw4ABffvklsbGx1nZ/XEdubq71Wc4bSU1NZffu3SQkJBRZQKhPnz5MnjyZf/zjH0XOGzx4MCdOnCApKYlff/3Vut/Ly4uKFY1/xlJERERERMqO0v2bEBMTw+jRo5kwYQJBQUGEh4eTkZGBq6sr69ev5+zZs4SGhtKrVy/at29vk9yVRFxcHLVq1aJNmzb06NGDQYMGlbgKeT2NGzdm06ZNHDp0iNatW9O0aVMmTJhArVq1bNr16tWLM2fOkJ2dXeIlmJcuXcqDDz5Y7Oq1Tz/9NBkZGXz++edFjm3atImTJ0/y4IMPUrNmTet2rfeZioiIiIjI3Uur4MpdLzvzjF3iahXcsqVVcMueVsEtW1oFt+xpFdyyp1Vwy5ZWwb0zDP3qU7vFXtiuq91i24sqoCIiIiIiImIIPQMqJeZ+nd9crV27ltatWxs4GhERERGRW6dFiIylBFRKLDU19ZrH7rvvPuMGIiIiIiIidyUloFJipXnli4iIiIiIyNWUgIqIiIiISLmlKbjG0t0WERERERERQ6gCKiIiIiIi5ZYqoMbS3RYRERERERFDqAIqIiIiIiLllqOjanJGUgIqd79Ci13C5lNoeMwzeTmGxwTIsxQYHjPXDjEB1q9aY3jMsGd6GB4TYMHb/zY8Zh3ztd8nXJYOnz9reMz73CsbHhNg/9kMu8R1NJkMj/m32n6GxwQ4m59rl7j2cOji74bHvJBrn7/rXBzLzz+L3czl51rlzqN0X0RERERERAyhX3+IiIiIiEi5pUWIjKW7LSIiIiIiIoZQBVRERERERMotVUCNpbstIiIiIiIihlACKiIiIiIiIobQFFwRERERESm3NAXXWLrbt8jX15d58+bZexgiIiIiIiJ3PCWgt5mvry8mkwmTyYSbmxvNmjUjMTHRrmOaNGkSTZo0KbL/2LFjmEwmUlNTy3wM8fHxeHp6Ftn/+OOPW+/Xn7f8/PwyH5OIiIiIiIODg9228qh8XnUZmzx5MidPnmTPnj2EhoYSHh7O1q1bi22bm5tr8OiMl5eXd93jAwcO5OTJkzabk5Nmh4uIiIiI3GvuqQTUYrEwc+ZMGjRogLOzM3Xr1mXKlCkA7Nu3j3bt2mE2m6latSqDBg0iMzPTem5kZCTdu3dn1qxZ1KxZk6pVqzJ06FCb5CkjI4OuXbtiNpupV68eCQkJxY6jUqVK+Pj44O/vz8KFCzGbzXz66afAlQrpm2++Sd++falcuTKDBg0CYPPmzbRu3Rqz2UydOnUYMWIEWVlZAIwfP56WLVsWiRMSEsLkyZNvz837P/v376dz5864u7vj7e3N888/z2+//WY9vm7dOh599FE8PT2pWrUqTz31FOnp6dbjf1RVV69eTZs2bXBxcSEhIYH+/ftz/vx5a4Vz0qRJ1nNcXV3x8fGx2UREREREjOBoMtltK4/uqQQ0Ojqa6dOnExMTw4EDB1i5ciXe3t5kZWURFhZGlSpV2LlzJ4mJiWzYsIFhw4bZnJ+cnEx6ejrJycksX76c+Ph44uPjrccjIyM5ceIEycnJvP/++yxatIiMjIzrjsnJyYkKFSrYVDpnzZpFSEgIe/bsISYmhvT0dDp16kTPnj3Zu3cvq1evZvPmzdbxRUREkJKSYpPoff/99+zdu5dnn332Nty5K86dO0e7du1o2rQp3377LevWreP06dP07t3b2iYrK4tRo0bx7bffkpSUhIODA08//TQWi8Wmr1dffZW///3vpKWl0bZtW+bNm0flypWtFc4xY8bctnGLiIiIiMjd4Z6Z53jx4kXmz59PbGws/fr1A+CBBx7g0UcfZcmSJVy+fJkVK1bg5uYGQGxsLF27dmXGjBl4e3sDUKVKFWJjY3F0dCQwMJAuXbqQlJTEwIEDOXToEGvXriUlJYXQ0FAAli5dSlBQ0DXHlJuby+zZszl//jzt2rWz7m/Xrh2jR4+2fh4wYAARERGMHDkSAD8/PxYsWECbNm1YvHgxwcHBhISEsHLlSmJiYgBISEigZcuWNGjQoET3Z9++fbi7u9vsKywstPkcGxtL06ZNmTp1qnXfsmXLqFOnDocOHcLf35+ePXvanLNs2TKqV6/OgQMHaNiwoXX/yJEj6dGjh/Wzh4cHJpOp2OrmokWLeOedd6yfBw8ezOzZs4u9jpycHHJycmz2FeTm4OzsfK1LFxERERGRO8Q9UwFNS0sjJyeH9u3bF3ssJCTEmnwCtGrVCovFwsGDB637goODcXR0tH6uWbOmtcKZlpaGk5MTzZs3tx4PDAwsdmGdqKgo3N3dcXV1ZcaMGUyfPp0uXbpYj7do0cKm/XfffUd8fDzu7u7WLSwsDIvFwtGjR4ErVdCVK1cCVxLHd999l4iIiBLfn4CAAFJTU222zz//vMg4kpOTbcYRGBgIYK2+Hj58mD59+lC/fn0qV66Mr68vAMePH7fp6+prvJ6IiAibcUVHR1+z7bRp0/Dw8LDZZs2eX+JYIiIiIiJ/5mhysNtWHt0zFVCz2XzLfVSoUMHms8lkKjK1tCTGjh1LZGSk9TlK01Xzu/+cCANkZmYyePBgRowYUaSvunXrAtCnTx+ioqLYvXs3ly5d4sSJE4SHh5d4TBUrVixSLb16oZ/MzExrVfhqNWvWBKBr167cf//9LFmyhFq1amGxWGjYsGGRxZSuvsbr8fDwKHElNzo6mlGjRtnsK8i9UOJYIiIiIiJiP/dMAurn54fZbCYpKYkBAwbYHAsKCiI+Pp6srCxrYrRlyxYcHBwICAgoUf+BgYHk5+eza9cu6xTcgwcPcu7cuSJtq1WrVuKECqBZs2YcOHDguufUrl2bNm3akJCQwKVLl+jYsSM1atQocYySjuODDz7A19e32FVoz5w5w8GDB1myZAmtW7cGriyeVBIVK1akoKDglsfo7OxcZLpt9sWca7QWEREREbm+8roYkL3cM3VfFxcXoqKiGDduHCtWrCA9PZ3t27ezdOlSIiIicHFxoV+/fuzfv5/k5GSGDx/O888/b33+80YCAgLo1KkTgwcPZseOHezatYsBAwbclsprVFQUW7duZdiwYaSmpnL48GE+/vjjIoskRUREsGrVKhITE0s1/bakhg4dytmzZ+nTpw87d+4kPT2d9evX079/fwoKCqhSpQpVq1bl3//+N0eOHOGrr74qUo28Fl9fXzIzM0lKSuK3334jOzv7to9fRERERETubPdMAgoQExPD6NGjmTBhAkFBQYSHh5ORkYGrqyvr16/n7NmzhIaG0qtXL9q3b09sbGyp+o+Li6NWrVq0adOGHj16MGjQoNtShWzcuDGbNm3i0KFDtG7dmqZNmzJhwgRq1apl065Xr16cOXOG7Oxsunfvfstxr1arVi22bNlCQUEBTzzxBI0aNWLkyJF4enpaX5a7atUqdu3aRcOGDXnllVd46623StT3I488wpAhQwgPD6d69erMnDnzto9fRERERETubKbCq5dCFbnLZF/81S5xMzF+5d3Dly4aHhMgz3Lr06dLy8FO02Eu5+cbHjPsmR43blQGFrz9b8NjhtWqZ3hMgF1nTxse8z73yobHBNh/9vqvBysr9pjC9rfafobHBPgpx/hZPBY7/XPtf7ON/3vnQq59Hq1p4OFll7j20MBcyfCY1dyNj1lSc/Ztt1vsUY3+YrfY9nJPVUBFRERERETkznXPLEJUnl39fs8/W7t2rXXBIBERERERseVQTl+HYi9KQO8Bqamp1zx23333GTcQERERERGR61ACeg8ozStfRERERETk/9NrWIylerOIiIiIiIgYQgmoiIiIiIiIGEJTcEVEREREpNxydFBNzki62yIiIiIiImIIVUBFRERERKTc0iJExlICKne/wny7hM2jguExj5w/Y3hMgKz8PMNjVqnoYnhMgBpmN8NjLnj734bHBBgxZJDhMb//+AvDYwJcyMsxPKa/o/E/IwBcHO3zV7ubk/HXm2OxGB7zStwCw2OeuZxteEywz987F3KN/34FqO1e2S5x7SHPTt87IqApuCIiIiIiImIQVUBFRERERKTcctAUXEOpAioiIiIiIiKGUAVURERERETKLUeTanJG0t0WERERERERQygBFREREREREUNoCq6IiIiIiJRbeg+osVQBFREREREREUMoAS2Gr68v8+bNs/cwbllkZCTdu3e/bpvHH3+ckSNHGjIeEREREZE7jaPJwW5beVQ+r7qUfH19MZlMmEwm3NzcaNasGYmJiXYd06RJk2jSpInNvm+++QZPT09GjhxJYWEh8+fPJz4+3i7ju56NGzda76eDgwMeHh40bdqUcePGcfLkSXsPT0REREREyogS0BKaPHkyJ0+eZM+ePYSGhhIeHs7WrVuLbZubm2vw6OCzzz4jLCyMUaNGMW/ePEwmEx4eHnh6eho+lpI6ePAgv/zyCzt37iQqKooNGzbQsGFD9u3bZ++hiYiIiEg54Wgy2W0rj+74BNRisTBz5kwaNGiAs7MzdevWZcqUKQDs27ePdu3aYTabqVq1KoMGDSIzM9N67h9TUGfNmkXNmjWpWrUqQ4cOJS8vz9omIyODrl27YjabqVevHgkJCcWOo1KlSvj4+ODv78/ChQsxm818+umnwJUK6Ztvvknfvn2pXLkygwYNAmDz5s20bt0as9lMnTp1GDFiBFlZWQCMHz+eli1bFokTEhLC5MmTS3WPVq5cSY8ePZg5cyYTJkwocv1/yMrKom/fvri7u1OzZk1mz55dpC9fX1+mTp3KCy+8QKVKlahbty7//ve/bdqcOHGC3r174+npiZeXF926dePYsWMAfP3111SoUIFTp07ZnDNy5Ehat25ts69GjRrWe/rMM8+wZcsWqlevzksvvVSq6xcRERERkbvDHZ+ARkdHM336dGJiYjhw4AArV67E29ubrKwswsLCqFKlCjt37iQxMZENGzYwbNgwm/OTk5NJT08nOTmZ5cuXEx8fbzMtNTIykhMnTpCcnMz777/PokWLyMjIuO6YnJycqFChgk2lc9asWYSEhLBnzx5iYmJIT0+nU6dO9OzZk71797J69Wo2b95sHV9ERAQpKSmkp6db+/j+++/Zu3cvzz77bInvz8KFC+nfvz/Lli0rcu1XGzt2LJs2beLjjz/miy++YOPGjezevbtIu9mzZ9OiRQv27NnDyy+/zEsvvcTBgwcByMvLIywsjEqVKvHNN9+wZcsW3N3d6dSpE7m5uTz22GPUr1+f//znP9b+8vLySEhI4IUXXrju+MxmM0OGDGHLli03/DMQEREREZG7zx39GpaLFy8yf/58YmNj6devHwAPPPAAjz76KEuWLOHy5cusWLECNzc3AGJjY+natSszZszA29sbgCpVqhAbG4ujoyOBgYF06dKFpKQkBg4cyKFDh1i7di0pKSmEhoYCsHTpUoKCgq45ptzcXGbPns358+dp166ddX+7du0YPXq09fOAAQOIiIiwLvDj5+fHggULaNOmDYsXLyY4OJiQkBBWrlxJTEwMAAkJCbRs2ZIGDRqU6P6kpaUxbNgwli5dSkRExHXbZmZmsnTpUv7nf/6H9u3bA7B8+XJq165dpO2TTz7Jyy+/DEBUVBRz584lOTmZgIAAVq9ejcVi4Z133sH0f9MG4uLi8PT0ZOPGjTzxxBO8+OKLxMXFMXbsWAA+/fRTLl++TO/evW94TYGBgQAcO3aMGjVqFDmek5NDTk6Ozb6CnBycnZ1v2LeIiIiIyNUcyulUWHu5oyugaWlp5OTkWBOmq4+FhIRYk0+AVq1aYbFYrNU6gODgYBwdHa2fa9asaa2upaWl4eTkRPPmza3HAwMDi31uMioqCnd3d1xdXZkxYwbTp0+nS5cu1uMtWrSwaf/dd98RHx+Pu7u7dQsLC8NisXD06FHgShV05cqVABQWFvLuu+/eMJH8s9q1a9OsWTPeeuutGy7ek56eTm5urs20Xy8vLwICAoq0bdy4sfW/TSYTPj4+1nv23XffceTIESpVqmS9Li8vLy5fvmyt5kZGRnLkyBG2b98OQHx8PL1797b5s7qWwsJCa9ziTJs2DQ8PD5tt1px/3rBfERERERGxvzu6Amo2m2+5jwoVKth8NplMWCyWUvczduxYIiMjcXd3x9vbu0iCdHVylZmZyeDBgxkxYkSRvurWrQtAnz59iIqKYvfu3Vy6dIkTJ04QHh5e4jFVqlSJDRs20LFjR9q2bUtycjI1a9Ys9bVd7Xr3LDMzk+bNmxf7rGz16tWBK892du3albi4OOrVq8fatWvZuHFjiWKnpaUBV55FLU50dDSjRo2y2VeQc7ZEfYuIiIiIXM3R4Y6uyd1z7ugE1M/PD7PZTFJSEgMGDLA5FhQURHx8PFlZWdbkb8uWLTg4OBRb1StOYGAg+fn57Nq1yzoF9+DBg5w7d65I22rVqpV4aixAs2bNOHDgwHXPqV27Nm3atCEhIYFLly7RsWPHYqedXk+VKlXYsGEDTzzxBI8//jjJycnUqlWrSLsHHniAChUqsGPHDmsC/Pvvv3Po0CHatGlTqutavXo1NWrUoHLlytdsN2DAAPr06UPt2rV54IEHaNWq1Q37vnTpEv/+97957LHHrMns1ZydnYtMt82+kFXi8YuIiIiIiP3c0em+i4sLUVFRjBs3jhUrVpCens727dutzzy6uLjQr18/9u/fT3JyMsOHD+f555+3Pv95IwEBAXTq1InBgwezY8cOdu3axYABA25L5TUqKoqtW7cybNgwUlNTOXz4MB9//HGRhYIiIiJYtWoViYmJpZp++2eenp58+eWXVKlShccff5xffvmlSBt3d3defPFFxo4dy1dffcX+/fuJjIzEoZS/8YmIiKBatWp069aNb775hqNHj7Jx40ZGjBjBzz//bG0XFhZG5cqV+cc//kH//v2L7SsjI4NTp05x+PBhVq1aRatWrfjtt99YvHhx6W6AiIiIiIjcFe7oBBQgJiaG0aNHM2HCBIKCgggPDycjIwNXV1fWr1/P2bNnCQ0NpVevXrRv357Y2NhS9R8XF0etWrVo06YNPXr0YNCgQaWuQhancePGbNq0iUOHDtG6dWuaNm3KhAkTilQne/XqxZkzZ8jOzrZ5ZUppeXh48MUXX1CtWjXatGnD//7v/xZp89Zbb9G6dWu6du1Khw4dePTRR22efy0JV1dXvv76a+rWrUuPHj0ICgrixRdf5PLlyzYVUQcHByIjIykoKKBv377F9hUQEECtWrVo3rw506dPp0OHDuzfv58HH3ywdBcvIiIiInKT9B5QY5kK/1j1ReQ2e/HFF/n111/55JNPyjRO9oXrL8BUVn7n1ivlpbXh9HHDYwJk5efduNFtVqWii+ExAWqYb7xY1u124PdfDY8JMGLIIMNjfv/xF4bHBPgm44ThMVtUK/o4hBG+O3vaLnHdnCrcuNFt9li1+wyPCfBTjvGPfpy5nG14TICD534zPOaF3JwbNyoDj99Xzy5x7SHA1cPwmDUrGx+zpD786eCNG5WRp+8v2aOD95I7+hlQuTudP3+effv2sXLlyjJPPkVEREREboWj6Y6fFHpP0d2+Q/359S1Xb9988429h3dd3bp144knnmDIkCF07NjR3sMREREREbknLFy4EF9fX1xcXGjZsiUpKSnXbLtkyRJat25NlSpVqFKlCh06dCjSPjIyEpPJZLN16tSpTK9BFdA7VGpq6jWP3XeffaYclVRJX7kiIiIiImJvd8uzmKtXr2bUqFG8/fbbtGzZknnz5hEWFsbBgweLXcNm48aN9OnTh0ceeQQXFxdmzJjBE088wffff2+TT3Tq1Im4uDjr56vfOHG7KQG9Q5XmlS8iIiIiInJvmzNnDgMHDrS+YeLtt9/ms88+Y9myZbz66qtF2ickJNh8fuedd/jggw9ISkqyWSTU2dkZHx+fsh38n2gKroiIiIiIiB3k5ORw4cIFmy0np+hCXLm5uezatYsOHTpY9zk4ONChQwe2bdtWoljZ2dnk5eXh5eVls3/jxo3UqFGDgIAAXnrpJc6cOXNrF3UDSkBFRERERKTccjA52G2bNm0aHh4eNtu0adOKjPG3336joKAAb29vm/3e3t6cOnWqRNcZFRVFrVq1bJLYTp06sWLFCpKSkpgxYwabNm2ic+fOFBQU3NpNvQ5NwRUREREREbGD6OhoRo0aZbOvLJ7BnD59OqtWrWLjxo24uPz/V90988wz1v9u1KgRjRs35oEHHmDjxo20b9/+to8DlICKiIiIiEg5Zs9FiJydnUuUcFarVg1HR0dOn7Z91/Pp06dv+PzmrFmzmD59Ohs2bKBx48bXbVu/fn2qVavGkSNHlICKXJODy43blAF3k/HfPp19fA2PCZBlyTc8ZiVH419qD3AhP8/wmHXM7obHBPj+4y8Mjxnc7QnDYwLsWPO54TH9zZUMjwlQqXr5+avd7OBol7j2+LO12OnrKaiS140b3WaXLWU39e96qlUo25U/i5Njp2ut7GSfv2Pl5lWsWJHmzZuTlJRE9+7dAbBYLCQlJTFs2LBrnjdz5kymTJnC+vXradGixQ3j/Pzzz5w5c4aaNWverqEXoWdARURERERE7nCjRo1iyZIlLF++nLS0NF566SWysrKsq+L27duX6Ohoa/sZM2YQExPDsmXL8PX15dSpU5w6dYrMzEwAMjMzGTt2LNu3b+fYsWMkJSXRrVs3GjRoQFhYWJldR/n5NamIiIiIiMhV7pb3gIaHh/Prr78yYcIETp06RZMmTVi3bp11YaLjx4/j4PD/64uLFy8mNzeXXr162fQzceJEJk2ahKOjI3v37mX58uWcO3eOWrVq8cQTT/Dmm2+W6btATYWFhYVl1ruIAbIzf7dL3DyT8dNXciwWw2OCpuCWtfxC+/y55tvhx395moIb5FrZ8JgAJ3Mv2SWuPdSoYJ9HMCwY/71jn58S9vmZqCm4Zc/LDtfq5upqeMySSvrlmN1it6/la7fY9qIKqIiIiIiIlFuODnoq0Ui62yIiIiIiImIIVUBFRERERKTccrhLngG9V6gCKiIiIiIiIoZQAioiIiIiIiKGUAJ6k3x9fZk3b569hyEiIiIiIrfA0eRgt608Kp9XXQZ8fX0xmUyYTCbc3Nxo1qwZiYmJ9h4WFy5c4LXXXiMwMBAXFxd8fHzo0KEDa9asQW/gERERERERIykBvY0mT57MyZMn2bNnD6GhoYSHh7N169Zi2+bm5pb5eM6dO8cjjzzCihUriI6OZvfu3Xz99deEh4czbtw4zp8/X+ZjuFkFBQVY7PTOSxEREREpPxxNJrtt5dE9kYBaLBZmzpxJgwYNcHZ2pm7dukyZMgWAffv20a5dO8xmM1WrVmXQoEFkZmZaz42MjKR79+7MmjWLmjVrUrVqVYYOHUpe3v9/8XJGRgZdu3bFbDZTr149EhISih1HpUqV8PHxwd/fn4ULF2I2m/n000+BKxXSN998k759+1K5cmUGDRoEwObNm2ndujVms5k6deowYsQIsrKyABg/fjwtW7YsEickJITJkyff8L6MHz+eY8eOsWPHDvr168eDDz6Iv78/AwcOJDU1FXd3dwD+85//0KJFC+v4n332WTIyMqz9bNy4EZPJRFJSEi1atMDV1ZVHHnmEgwcP2sT79NNPCQ0NxcXFhWrVqvH0009bj+Xk5DBmzBjuu+8+3NzcaNmyJRs3brQej4+Px9PTk08++YQHH3wQZ2dnjh8/fsNrFBERERGRu8c9kYBGR0czffp0YmJiOHDgACtXrsTb25usrCzCwsKoUqUKO3fuJDExkQ0bNjBs2DCb85OTk0lPTyc5OZnly5cTHx9PfHy89XhkZCQnTpwgOTmZ999/n0WLFtkkaMVxcnKiQoUKNpXOWbNmERISwp49e4iJiSE9PZ1OnTrRs2dP9u7dy+rVq9m8ebN1fBEREaSkpJCenm7t4/vvv2fv3r08++yz141vsVhYtWoVERER1KpVq8hxd3d3nJyuvIUnLy+PN998k++++46PPvqIY8eOERkZWeSc1157jdmzZ/Ptt9/i5OTECy+8YD322Wef8fTTT/Pkk0+yZ88ekpKSeOihh6zHhw0bxrZt21i1ahV79+7lb3/7G506deLw4cPWNtnZ2cyYMYN33nmH77//nho1alz3GkVERERE5O5y178H9OLFi8yfP5/Y2Fj69esHwAMPPMCjjz7KkiVLuHz5MitWrMDNzQ2A2NhYunbtyowZM/D29gagSpUqxMbG4ujoSGBgIF26dCEpKYmBAwdy6NAh1q5dS0pKCqGhoQAsXbqUoKCga44pNzeX2bNnc/78edq1a2fd365dO0aPHm39PGDAACIiIhg5ciQAfn5+LFiwgDZt2rB48WKCg4MJCQlh5cqVxMTEAJCQkEDLli1p0KDBde/Lb7/9xu+//05gYOAN7+GfE8n69euzYMECQkNDyczMtFZJAaZMmUKbNm0AePXVV+nSpQuXL1/GxcWFKVOm8Mwzz/DGG29Y24eEhABw/Phx4uLiOH78uDUZHjNmDOvWrSMuLo6pU6cCVxLhRYsWWc8rTk5ODjk5OTb7CvJycHZ2vuF1ioiIiIhczYHyORXWXu76CmhaWho5OTm0b9++2GMhISHW5BOgVatWWCwWm+mjwcHBODo6Wj/XrFnTWuFMS0vDycmJ5s2bW48HBgbi6elZJF5UVBTu7u64uroyY8YMpk+fTpcuXazHW7RoYdP+u+++Iz4+Hnd3d+sWFhaGxWLh6NGjwJUq6MqVKwEoLCzk3XffJSIi4ob3pTQLDO3atYuuXbtSt25dKlWqZE0yr54C27hxY+t/16xZE8B6n1JTU4v9M4Ar06ALCgrw9/e3udZNmzbZVHcrVqxoE6M406ZNw8PDw2abNXtuia9VRERERETs566vgJrN5lvuo0KFCjafTSbTTS2AM3bsWCIjI3F3d8fb2xvTVQ8W/zkRBsjMzGTw4MGMGDGiSF9169YFoE+fPkRFRbF7924uXbrEiRMnCA8Pv+FYqlevjqenJz/88MN12/0xTTksLIyEhASqV6/O8ePHCQsLK7JQ0p/v0x/X9sd9ut6fQ2ZmJo6Ojuzatcsm0QdsKqxms7nIPbtadHQ0o0aNstlXkJd93XNERERERK7FQQVQQ931Caifnx9ms5mkpCQGDBhgcywoKIj4+HiysrKsyd+WLVtwcHAgICCgRP0HBgaSn5/Prl27rFNwDx48yLlz54q0rVat2g2nxv5Zs2bNOHDgwHXPqV27Nm3atCEhIYFLly7RsWPHEj0b6eDgwDPPPMN//vMfJk6cWOQ50MzMTFxcXPjhhx84c+YM06dPp06dOgB8++23Jb6GPzRu3JikpCT69+9f5FjTpk0pKCggIyOD1q1bl7rvP3N2di4y3TY7s+CW+hQREREREWPc9VNwXVxciIqKYty4caxYsYL09HS2b9/O0qVLiYiIwMXFhX79+rF//36Sk5MZPnw4zz//vPX5zxsJCAigU6dODB48mB07drBr1y4GDBhwWyqvUVFRbN26lWHDhpGamsrhw4f5+OOPiyySFBERwapVq0hMTCzR9Ns/TJkyhTp16tCyZUtWrFjBgQMHOHz4MMuWLaNp06ZkZmZSt25dKlasyD//+U9+/PFHPvnkE958881SX8vEiRN59913mThxImlpaezbt48ZM2YA4O/vT0REBH379mXNmjUcPXqUlJQUpk2bxmeffVbqWCIiIiIit4vJjv8rj+76BBQgJiaG0aNHM2HCBIKCgggPDycjIwNXV1fWr1/P2bNnCQ0NpVevXrRv357Y2NhS9R8XF0etWrVo06YNPXr0YNCgQbdlhdbGjRuzadMmDh06ROvWrWnatCkTJkwoUq3s1asXZ86cITs7m+7du5e4fy8vL7Zv385zzz3HP/7xD5o2bUrr1q159913eeutt/Dw8KB69erEx8eTmJjIgw8+yPTp05k1a1apr+Xxxx8nMTGRTz75hCZNmtCuXTtSUlKsx+Pi4ujbty+jR48mICCA7t27s3PnTutUYxERERERufeZCkuzWo3IHSg783e7xM0zVbhxo9ss5yaeTb4dsiz5hses5Gj8/QW4kJ9340a3WX6hff5c8+3w4z+42xOGxwTYseZzw2MGuVY2PCbAydxLdolrDzUquNglrgXjv3fs81PCPj8TL1vs82hNtQrGr6ifY6dr9bLDtbq5uhoes6R2/XbKbrGbV/OxW2x7ueufARUREREREblZDjdYBFNur3tiCm559edXmly9ffPNN/YenoiIiIiIiA1VQO9iqamp1zx23333GTcQEREREZG7lCpyxlICehcrzStfRERERERE7E0Jv4iIiIiIiBhCFVARERERESm3tAiRsVQBFREREREREUOoAioiIiIiIuWWKnLG0v0WERERERERQ6gCKne/wly7hL1UaPzvb3ad+9XwmAAXcnMMj1nVxdXwmABezi6Gxzx8/qzhMQEu5Bn/57pjzeeGxwRo2eNJw2N+++Faw2MCZFzOtktcS6HF+KDunsbHBCo4GP/zP7Mg3/CYAN+cPmF4zKw8+/y93rNugOExLRQaHhPgkqXA8JhuhkcsORN6BtRIqoCKiIiIiIiIIZSAioiIiIiIiCE0BVdERERERMotvYbFWKqAioiIiIiIiCFUARURERERkXJLFTlj6X6LiIiIiIiIIZSAioiIiIiIiCGUgN4Gvr6+zJs3z97DuG0ef/xxRo4cae9hiIiIiIiUOQeTyW5beaQEtAz4+vpiMpkwmUy4ubnRrFkzEhMT7T0szp49y8iRI7n//vupWLEitWrV4oUXXuD48eO3NU5pEtj4+HjrvXJwcKB27dr079+fjIyM2zomERERERGxPyWgZWTy5MmcPHmSPXv2EBoaSnh4OFu3bi22bW5ubpmP5+zZs/zlL39hw4YNvP322xw5coRVq1Zx5MgRQkND+fHHH8t8DH9WWFhIfn4+AJUrV+bkyZP8/PPPLFmyhLVr1/L8888bOh4RERERKZ8cMNltK4/uuQTUYrEwc+ZMGjRogLOzM3Xr1mXKlCkA7Nu3j3bt2mE2m6latSqDBg0iMzPTem5kZCTdu3dn1qxZ1KxZk6pVqzJ06FDy8vKsbTIyMujatStms5l69eqRkJBQ7DgqVaqEj48P/v7+LFy4ELPZzKeffgpcqZC++eab9O3bl8qVKzNo0CAANm/eTOvWrTGbzdSpU4cRI0aQlZUFwPjx42nZsmWROCEhIUyePPmG9+W1117jl19+YcOGDXTu3Jm6devy2GOPsX79eipUqMDQoUNt2ufn5zNs2DA8PDyoVq0aMTExFBYWWo8vWrQIPz8/XFxc8Pb2plevXtZ7uGnTJubPn2+tbB47doyNGzdiMplYu3YtzZs3x9nZmc2bNwNgMpnw8fGhVq1adO7cmREjRrBhwwYuXbp0w+sSEREREZG7xz2XgEZHRzN9+nRiYmI4cOAAK1euxNvbm6ysLMLCwqhSpQo7d+4kMTGRDRs2MGzYMJvzk5OTSU9PJzk5meXLlxMfH098fLz1eGRkJCdOnCA5OZn333+fRYsW3XC6qJOTExUqVLCpdM6aNYuQkBD27NlDTEwM6enpdOrUiZ49e7J3715Wr17N5s2breOLiIggJSWF9PR0ax/ff/89e/fu5dlnn71ufIvFwqpVq4iIiMDHx8fmmNls5uWXX2b9+vWcPXvWun/58uU4OTmRkpLC/PnzmTNnDu+88w4A3377LSNGjGDy5MkcPHiQdevW8dhjjwEwf/58Hn74YQYOHMjJkyc5efIkderUsfb76quvMn36dNLS0mjcuHGx4zWbzVgsFmuFVERERESkrJhM9tvKo3vqPaAXL15k/vz5xMbG0q9fPwAeeOABHn30UZYsWcLly5dZsWIFbm5uAMTGxtK1a1dmzJiBt7c3AFWqVCE2NhZHR0cCAwPp0qULSUlJDBw4kEOHDrF27VpSUlIIDQ0FYOnSpQQFBV1zTLm5ucyePZvz58/Trl076/527doxevRo6+cBAwYQERFhfXbSz8+PBQsW0KZNGxYvXkxwcDAhISGsXLmSmJgYABISEmjZsiUNGjS47n359ddfOXfu3DXHGRQURGFhIUeOHOGhhx4CoE6dOsydOxeTyURAQAD79u1j7ty5DBw4kOPHj+Pm5sZTTz1FpUqVuP/++2natCkAHh4eVKxYEVdX1yLJLlyZmtyxY8drjvXw4cO8/fbbtGjRgkqVKhU5npOTQ05Ojs2+gtwcnJ2dr3sPRERERETE/u6pCmhaWho5OTm0b9++2GMhISHW5BOgVatWWCwWDh48aN0XHByMo6Oj9XPNmjWtFc60tDScnJxo3ry59XhgYCCenp5F4kVFReHu7o6rqyszZsxg+vTpdOnSxXq8RYsWNu2/++474uPjcXd3t25hYWFYLBaOHj0KXKmCrly5ErjyDOW7775LREREie/Pn6fQ3shf/vIXTH/6tczDDz/M4cOHKSgooGPHjtx///3Ur1+f559/noSEBLKzs0vU79XXDXD+/HnrvQoICMDb2/uaU5unTZuGh4eHzTZr9oISX5eIiIiIiNjPPVUBNZvNt9xHhQoVbD6bTCYsFkup+xk7diyRkZG4u7vj7e1tk8wBNokwQGZmJoMHD2bEiBFF+qpbty4Affr0ISoqit27d3Pp0iVOnDhBeHj4DcdSvXp1PD09SUtLK/Z4WloaJpPphpXUP1SqVIndu3ezceNGvvjiCyZMmMCkSZPYuXNnscn4n1193X/uz8HBgZo1a173zzE6OppRo0bZ7CvIPVeicYuIiIiIXK28LgZkL/dUBdTPzw+z2UxSUlKRY0FBQXz33XfWRX0AtmzZgoODAwEBASXqPzAwkPz8fHbt2mXdd/DgQc6dO1ekbbVq1WjQoAE+Pj5Fks/iNGvWjAMHDtCgQYMiW8WKFQGoXbs2bdq0ISEhgYSEBDp27EiNGjVu2LeDgwO9e/dm5cqVnDp1yubYpUuXWLRoEWFhYXh5eVn379ixw6bd9u3b8fPzs1aHnZyc6NChAzNnzmTv3r0cO3aMr776CoCKFStSUFBww3H9eXwNGjSgfv36N/wlgrOzM5UrV7bZNP1WREREROTucE8loC4uLkRFRTFu3DhWrFhBeno627dvZ+nSpURERODi4kK/fv3Yv38/ycnJDB8+nOeff976/OeNBAQE0KlTJwYPHsyOHTvYtWsXAwYMuC2V16ioKLZu3cqwYcNITU3l8OHDfPzxx0UWSYqIiGDVqlUkJiaWavrt1KlT8fHxoWPHjqxdu5YTJ07w9ddfExYWRl5eHgsXLrRpf/z4cUaNGsXBgwd59913+ec//8nf//53AP773/+yYMECUlNT+emnn1ixYgUWi8WayPv6+rJjxw6OHTvGb7/9dlMVZBERERERIzjYcSuP7rnrjomJYfTo0UyYMIGgoCDCw8PJyMjA1dXVutJraGgovXr1on379sTGxpaq/7i4OGrVqkWbNm3o0aMHgwYNKlEV8kYaN27Mpk2bOHToEK1bt6Zp06ZMmDCBWrVq2bTr1asXZ86cITs7m+7du5e4/6pVq7J9+3batm3L4MGDeeCBB+jduzcPPPAAO3fupH79+jbt+/bty6VLl3jooYcYOnQof//7362vi/H09GTNmjW0a9eOoKAg3n77bd59912Cg4MBGDNmDI6Ojjz44INUr16d48eP39rNERERERGRe4KpsDQr04jcgbIvnrZL3Au4GB5z17lfDY8JcCE358aNbrOqLq6GxwTwcjb+z/Xw+bM3blQGLuQZ/+fatGpNw2MCtOzxpOExv/1wreExATIul2xRuNvNUmj8bBc/d0/DYwJUcDD+9/eZBfZ5Ndk3p08YHjMrL/fGjcpAz7oleyTrdrJgn3+GezpVNDxmNfeibze4U5w4/7vdYtfxqGK32PZyTy1CJCIiIiIiUhoO5fWFnHZyz03BLa/+/PqWq7dvvvnG3sMTERERERFRBfRekZqaes1j9913n3EDERERERG5i+g1LMZSAnqPKOk7PEVEREREROxFU3BFRERERETEEKqAioiIiIhIuaU1iIylCqiIiIiIiIgYQhVQEREREREpt7QIkbFUARURERERERFDmAoLCwvtPQiRW5Gd+btd4uZSwfCYZ/NzDY8JcMmSb3hMR5N9fj9WUGgxPOaZvBzDYwK4ORr/NexvrmR4TIBDly4aHrPF050Njwmw9+P1dolrscM/J9wc7TORK9di/M8JFwdHw2MC5NvhZ2KWpcDwmAB1nF0Nj2mvSpA9Kn6e7u6Gxyyp3zKN/zviD9Xc7fP3oj2pAioiIiIiIiKGUAIqIiIiIiIihtAiRCIiIiIiUm6pImcs3W8RERERERExhCqgIiIiIiJSbuk1LMZSBVREREREREQMoQRUREREREREDKEpuCIiIiIiUm6ZNAPXUKqA2oGvry/z5s2z9zBEREREREQMpQT0DuDr64vJZMJkMuHm5kazZs1ITEy065gmTZpkHZOTkxPVqlXjscceY968eeTk5Nh1bCIiIiIit4sDJrtt5ZES0DvE5MmTOXnyJHv27CE0NJTw8HC2bt1abNvc3FxDxhQcHMzJkyc5fvw4ycnJ/O1vf2PatGk88sgjXLx4sUxjG3WNIiIiIiJ3i4ULF+Lr64uLiwstW7YkJSXluu0TExMJDAzExcWFRo0a8fnnn9scLywsZMKECdSsWROz2UyHDh04fPhwWV6CElCLxcLMmTNp0KABzs7O1K1blylTpgCwb98+2rVrh9lspmrVqgwaNIjMzEzruZGRkXTv3p1Zs2ZRs2ZNqlatytChQ8nLy7O2ycjIoGvXrpjNZurVq0dCQkKx46hUqRI+Pj74+/uzcOFCzGYzn376KXClQvrmm2/St29fKleuzKBBgwDYvHkzrVu3xmw2U6dOHUaMGEFWVhYA48ePp2XLlkXihISEMHny5BLdGycnJ3x8fKhVqxaNGjVi+PDhbNq0if379zNjxgxru5ycHMaMGcN9992Hm5sbLVu2ZOPGjdbj8fHxeHp68tFHH+Hn54eLiwthYWGcOHHC2mbSpEk0adKEd955h3r16uHi4lKiMYqIiIiI3AoHk8luW2msXr2aUaNGMXHiRHbv3k1ISAhhYWFkZGQU237r1q306dOHF198kT179tC9e3e6d+/O/v37rW1mzpzJggULePvtt9mxYwdubm6EhYVx+fLlW7qn11PuE9Do6GimT59OTEwMBw4cYOXKlXh7e5OVlUVYWBhVqlRh586dJCYmsmHDBoYNG2ZzfnJyMunp6SQnJ7N8+XLi4+OJj4+3Ho+MjOTEiRMkJyfz/vvvs2jRomt+kfzBycmJChUq2FQBZ82aRUhICHv27CEmJob09HQ6depEz5492bt3L6tXr2bz5s3W8UVERJCSkkJ6erq1j++//569e/fy7LPP3vT9CgwMpHPnzqxZs8a6b9iwYWzbto1Vq1axd+9e/va3v9GpUyeb355kZ2czZcoUVqxYwZYtWzh37hzPPPOMTd9Hjhzhgw8+YM2aNaSmpt70GEVERERE7jVz5sxh4MCB9O/fnwcffJC3334bV1dXli1bVmz7+fPn06lTJ8aOHUtQUBBvvvkmzZo1IzY2FrhS/Zw3bx6vv/463bp1o3HjxqxYsYJffvmFjz76qMyuo1yvgnvx4kXmz59PbGws/fr1A+CBBx7g0UcfZcmSJVy+fJkVK1bg5uYGQGxsLF27dmXGjBl4e3sDUKVKFWJjY3F0dCQwMJAuXbqQlJTEwIEDOXToEGvXriUlJYXQ0FAAli5dSlBQ0DXHlJuby+zZszl//jzt2rWz7m/Xrh2jR4+2fh4wYAARERGMHDkSAD8/PxYsWECbNm1YvHgxwcHBhISEsHLlSmJiYgBISEigZcuWNGjQ4JbuW2BgIF988QUAx48fJy4ujuPHj1OrVi0AxowZw7p164iLi2Pq1KkA5OXlERsba63KLl++nKCgIFJSUnjooYes175ixQqqV69+zdg5OTlFnkEtyMvB2dn5lq5JRERERMRoxf3b1tnZuci/bXNzc9m1axfR0dHWfQ4ODnTo0IFt27YV2/e2bdsYNWqUzb6wsDBrcnn06FFOnTpFhw4drMc9PDxo2bIl27ZtK1Isul3KdQU0LS2NnJwc2rdvX+yxkJAQa/IJ0KpVKywWCwcPHrTuCw4OxtHR0fq5Zs2a1gpnWloaTk5ONG/e3Ho8MDAQT0/PIvGioqJwd3fH1dWVGTNmMH36dLp06WI93qJFC5v23333HfHx8bi7u1u3sLAwLBYLR48eBa5UQVeuXAlc+Q3Hu+++S0RERGluUbEKCwsx/d+UgX379lFQUIC/v7/NWDZt2mRTfXVycrIm4X++D2lpadZ9999//3WTT4Bp06bh4eFhs82aPfeWr0lEREREyicThXbbivu37bRp04qM8bfffqOgoMBaBPuDt7c3p06dKva6Tp06dd32f/x/afq8Hcp1BdRsNt9yHxUqVLD5bDKZsFgspe5n7NixREZG4u7ujre3tzXB+8OfE2GAzMxMBg8ezIgRI4r0VbduXQD69OlDVFQUu3fv5tKlS5w4cYLw8PBSj+1qaWlp1KtXzzoOR0dHdu3aZZOIA7i7u5eq36uvsTjR0dFFfpNTkJddqjgiIiIiIneC4v5te6/P7CvXCaifnx9ms5mkpCQGDBhgcywoKIj4+HiysrKsidGWLVtwcHAgICCgRP0HBgaSn5/Prl27rNW/gwcPcu7cuSJtq1WrVqqpsc2aNePAgQPXPad27dq0adOGhIQELl26RMeOHalRo0aJYxTnhx9+YN26ddbyf9OmTSkoKCAjI4PWrVtf87z8/Hy+/fZb63TbP+7D9aYjF6e4KQnZmQWlvAoRERERkf9TWPri0e1S3L9ti1OtWjUcHR05ffq0zf7Tp0/j4+NT7Dk+Pj7Xbf/H/58+fZqaNWvatGnSpElpLqNUyvUUXBcXF6Kiohg3bhwrVqwgPT2d7du3s3TpUiIiInBxcaFfv37s37+f5ORkhg8fzvPPP1+kTH0tAQEBdOrUicGDB7Njxw527drFgAEDbkvlNSoqiq1btzJs2DBSU1M5fPgwH3/8cZFFkiIiIli1ahWJiYmlnn6bn5/PqVOn+OWXX9i3bx///Oc/adOmDU2aNGHs2LEA+Pv7ExERQd++fVmzZg1Hjx4lJSWFadOm8dlnn1n7qlChAsOHD7feh8jISP7yl79YE1IRERERESlexYoVad68OUlJSdZ9FouFpKQkHn744WLPefjhh23aA3z55ZfW9vXq1cPHx8emzYULF9ixY8c1+7wdynUCChATE8Po0aOZMGECQUFBhIeHk5GRgaurK+vXr+fs2bOEhobSq1cv2rdvb101qqTi4uKoVasWbdq0oUePHgwaNOiWq5AAjRs3ZtOmTRw6dIjWrVvTtGlTJkyYYF0I6A+9evXizJkzZGdn071791LF+P7776lZsyZ169bl8ccf57333iM6OppvvvnGZnptXFwcffv2ZfTo0QQEBNC9e3d27txpnQoM4OrqSlRUFM8++yytWrXC3d2d1atX39I9EBEREREpL0aNGsWSJUtYvnw5aWlpvPTSS2RlZdG/f38A+vbta7NI0d///nfWrVvH7Nmz+eGHH5g0aRLffvuttWBlMpkYOXIk//jHP/jkk0/Yt28fffv2pVatWqXOG0rDVFhYWFhmvYtw5T2gI0eOLHbq8e2Qnfl7mfR7I7lUuHGj2+xsfu6NG5WBS5Z8w2M6muzz+7ECO0zDOZOXc+NGZcDN0fivYX9zJcNjAhy6dNHwmC2e7mx4TIC9H6+3S1yLHf454eZonyeJcm9irYdb5eLgeONGZSDfDj8Tsyz2ebSmjrOr4THtVQlyoHTvn7wdPEu5NoiRsrPO2y22q5tHqdrHxsby1ltvcerUKZo0acKCBQusb5l4/PHH8fX1tXklZGJiIq+//jrHjh3Dz8+PmTNn8uSTT1qPFxYWMnHiRP79739z7tw5Hn30URYtWoS/v/9tub7iKAGVMqcE9PZRAlr2lICWLSWgZU8JaNlTAlq2lIAaEVcJ6J/dTQnovaBcL0JUnl1vhdq1a9ded0EhEREREZF7hh0XISqPlICWU6mpqdc8dt99993WWJGRkURGRt7WPkVERERE5O6jBLScKs0rX0RERERE7l2qgBqp3K+CKyIiIiIiIsZQAioiIiIiIiKG0BRcEREREREpv7QIkaFUARURERERERFDqAIqd79C499RCZBvMv7b52y+fd4XmZmfZ3jMKhWcDY8JcMkO75/bfzbD8JgALnZ4h2Kl6vb5ayfjcrbhMe31Ps7G3cLsEjd+2XLDY7arUcfwmAC/FRj/s7iig31qBicuZRoe0x7vWS1v7rfDO0/vbPqaM5IqoCIiIiIiImIIJaAiIiIiIiJiCE3BFRERERGR8kuLEBlKFVARERERERExhCqgIiIiIiJSjqkCaiRVQEVERERERMQQqoCKiIiIiEj5pWdADaUKqIiIiIiIiBhCCagd+fr6Mm/ePHsP47Yp7fXEx8fj6elZZuMREREREZE7ixLQO4ivry8mkwmTyYSbmxvNmjUjMTHRrmOaNGmSdUxOTk5Uq1aNxx57jHnz5pGTk2PTdufOnQwaNMhOIxURERERuRkWO27ljxLQO8zkyZM5efIke/bsITQ0lPDwcLZu3Vps29zcXEPGFBwczMmTJzl+/DjJycn87W9/Y9q0aTzyyCNcvHjR2q569eq4uroaMiYREREREbn7KAH9PxaLhZkzZ9KgQQOcnZ2pW7cuU6ZMAWDfvn20a9cOs9lM1apVGTRoEJmZmdZzIyMj6d69O7NmzaJmzZpUrVqVoUOHkpeXZ22TkZFB165dMZvN1KtXj4SEhGLHUalSJXx8fPD392fhwoWYzWY+/fRT4EqF9M0336Rv375UrlzZWm3cvHkzrVu3xmw2U6dOHUaMGEFWVhYA48ePp2XLlkXihISEMHny5BLdGycnJ3x8fKhVqxaNGjVi+PDhbNq0if379zNjxgxru6un4M6ZM4dGjRrh5uZGnTp1ePnll23u2x8++ugj/Pz8cHFxISwsjBMnTpRoXCIiIiIit6zQYr+tHFIC+n+io6OZPn06MTExHDhwgJUrV+Lt7U1WVhZhYWFUqVKFnTt3kpiYyIYNGxg2bJjN+cnJyaSnp5OcnMzy5cuJj48nPj7eejwyMpITJ06QnJzM+++/z6JFi8jIyLjumJycnKhQoYJNpXPWrFmEhISwZ88eYmJiSE9Pp1OnTvTs2ZO9e/eyevVqNm/ebB1fREQEKSkppKenW/v4/vvv2bt3L88+++xN36/AwEA6d+7MmjVrrtnGwcGBBQsW8P3337N8+XK++uorxo0bZ9MmOzubKVOmsGLFCrZs2cK5c+d45plnbnpcIiIiIiJy59JrWICLFy8yf/58YmNj6devHwAPPPAAjz76KEuWLOHy5cusWLECNzc3AGJjY+natSszZszA29sbgCpVqhAbG4ujoyOBgYF06dKFpKQkBg4cyKFDh1i7di0pKSmEhoYCsHTpUoKCgq45ptzcXGbPns358+dp166ddX+7du0YPXq09fOAAQOIiIhg5MiRAPj5+bFgwQLatGnD4sWLCQ4OJiQkhJUrVxITEwNAQkICLVu2pEGDBrd03wIDA/niiy+uefyPMcGV6ug//vEPhgwZwqJFi6z78/LyiI2NtVZply9fTlBQECkpKTz00ENF+szJySny7GlBbg7Ozs63dC0iIiIiIlL2VAEF0tLSyMnJoX379sUeCwkJsSafAK1atcJisXDw4EHrvuDgYBwdHa2fa9asaa1wpqWl4eTkRPPmza3HAwMDi10BNioqCnd3d1xdXZkxYwbTp0+nS5cu1uMtWrSwaf/dd98RHx+Pu7u7dQsLC8NisXD06FHgShV05cqVABQWFvLuu+8SERFRmltUrMLCQkwm0zWPb9iwgfbt23PfffdRqVIlnn/+ec6cOUN2dra1jZOTkzUph/9/X9LS0ortc9q0aXh4eNhss2bPv+VrEREREZHySosQGUkVUMBsNt9yHxUqVLD5bDKZsFhK/0U1duxYIiMjcXd3x9vbu0iC9+dEGCAzM5PBgwczYsSIIn3VrVsXgD59+hAVFcXu3bu5dOkSJ06cIDw8vNRju1paWhr16tUr9tixY8d46qmneOmll5gyZQpeXl5s3ryZF198kdzc3JterCg6OppRo0bZ7CvIvXBTfYmIiIiIiLGUgHJl2qrZbCYpKYkBAwbYHAsKCiI+Pp6srCxr8rdlyxYcHBwICAgoUf+BgYHk5+eza9cua7Xv4MGDnDt3rkjbatWqlWpqbLNmzThw4MB1z6lduzZt2rQhISGBS5cu0bFjR2rUqFHiGMX54YcfWLduHdHR0cUe37VrFxaLhdmzZ+PgcKXQ/t577xVpl5+fz7fffmudbvvHfbnW9GRnZ+ci022zL+YU21ZERERE5EZMhYX2HkK5oim4gIuLC1FRUYwbN44VK1aQnp7O9u3bWbp0KREREbi4uNCvXz/2799PcnIyw4cP5/nnn7c+/3kjAQEBdOrUicGDB7Njxw527drFgAEDbkvlNSoqiq1btzJs2DBSU1M5fPgwH3/8cZFFkiIiIli1ahWJiYmlnn6bn5/PqVOn+OWXX9i3bx///Oc/adOmDU2aNGHs2LHFntOgQQPy8vL45z//yY8//sh//vMf3n777SLtKlSowPDhw633JTIykr/85S/FPv8pIiIiIiJ3NyWg/ycmJobRo0czYcIEgoKCCA8PJyMjA1dXV9avX8/Zs2cJDQ2lV69etG/fntjY2FL1HxcXR61atWjTpg09evRg0KBBt1yFBGjcuDGbNm3i0KFDtG7dmqZNmzJhwgRq1apl065Xr17W5y+7d+9eqhjff/89NWvWpG7dujz++OO89957REdH88033+Du7l7sOSEhIcyZM4cZM2bQsGFDEhISmDZtWpF2rq6uREVF8eyzz9KqVSvc3d1ZvXp1qcYnIiIiInLz9AyokUyFhao5y90t++Kv9olrcjE85rHLRd+jaoTM/LwbN7rNqlSwz8rGlywFhsfc/dtJw2MCuDga/xTGo9XvMzwmQHqW8c+K13Yt/hd0Za1xtzC7xI1fttzwmO1q1DE8JsD/5l4yPGY1O/1M/Cn7ouExc29iDY3bwcfsduNG94j7nW9uLY5b4eVeyfCYJXXp90N2i22u4m+32PaiCqiIiIiIiIgYQosQlXPXmkILsHbtWlq3bm3gaEREREREDFZYPqfC2osS0HIuNTX1msfuu88+U+VEREREROTepAS0nCvNK19ERERERO49qoAaSc+AioiIiIiIiCGUgIqIiIiIiIghNAVXRERERETKLy1CZChVQEVERERERMQQqoCKiIiIiEg5pgqokZSAyj2g/PzQyC8stEtcF0fjf1TY61orO1YwPKajyWR4TAA3J+Ov1V4sdpheZbHT13D8suV2iRv5Qj/DY/78WbLhMQGc7PA9a6+fibkW4793KjqUnwl69vhaAnDAPnFFQAmoiIiIiIiUZ3oG1FDl51dMIiIiIiIiYldKQEVERERERMQQmoIrIiIiIiLlmKbgGkkVUBERERERETGEKqAiIiIiIlJ+aREiQ6kCKiIiIiIiIoa45xNQX19f5s2bZ+9hGMZe13vs2DFMJhOpqamGxxYRERERkbvDPZ+AXs3X1xeTyYTJZMLNzY3/x96dx+WU/v8Df9136916V2hRCWmxlC3ZwlhGlsZOZMkQY5kwljRjzdh3w2BIxWRfMx+MUIwY2yiGJMkyIxpM0qq6z+8Pv87XrVDUfRu9no/HeTzc51znvK9zWvQ+7+tcp2HDhti1a5da+zRr1izUr19frX34UDY2NkhJSUHdunVL1P5N58xEloiIiIhUS6HGpeKpcAkoAAQFBSElJQWXL1+Gm5sb+vXrhzNnzhTb9sWLFyru3X+ThoYGLCwsoKnJx4qJiIiIiKh4Kk1AFQoFFi1aBHt7e+jo6MDW1hZz584FAFy9ehVt27aFTCaDmZkZRowYgYyMDHFfX19fdO/eHUuWLIGlpSXMzMwwZswY5OXliW1SU1Ph5eUFmUyG6tWrIzw8vNh+GBoawsLCAg4ODlizZg1kMhkOHjwI4GWFdM6cORg8eDCMjIwwYsQIAMDp06fh4eEBmUwGGxsb+Pv7IzMzEwDw7bffwt3dvUgcV1dXBAUFlfo6RUdHo0mTJtDX14dcLkeLFi1w9+5dcfvBgwfh5uYGXV1dVKpUCT169FDaPysrC19++SUMDQ1ha2uLn376SWn7/fv30bdvX8jlcpiamqJbt264c+eOuL3wWs+bNw/m5uaQy+UICgpCfn4+Jk+eDFNTU1hbWyMkJETcp7jK5bVr19C1a1cYGRnB0NAQHh4eSEpKKvX1ICIiIiIqN4JCfUsFpNIENDAwEAsWLMD06dNx/fp1bN26Febm5sjMzETHjh1hYmKCCxcuYNeuXTh27BjGjh2rtH9UVBSSkpIQFRWFsLAwhIaGIjQ0VNzu6+uL+/fvIyoqCrt378aPP/6I1NTUt/ZJU1MTWlpaSpXOJUuWwNXVFZcvX8b06dORlJQET09P9OrVC1euXMGOHTtw+vRpsX8+Pj44f/68UnJ17do1XLlyBQMGDCjVNcrPz0f37t3RunVrXLlyBWfPnsWIESMgkUgAAP/73//Qo0cPdO7cGZcvX8bx48fRpEkTpWMsXboUjRs3xuXLlzF69GiMGjUKCQkJAIC8vDx07NgRhoaG+O233xATEwMDAwN4enoqXYMTJ07gwYMHOHXqFJYtW4aZM2eia9euMDExwblz5/DVV19h5MiR+Ouvv4o9j7///hutWrWCjo4OTpw4gUuXLuHLL79Efn5+qa4HERERERF9OlQ2XvL58+dYuXIlVq9ejSFDhgAAatasiZYtW2LDhg3IycnB5s2boa+vDwBYvXo1vLy8sHDhQpibmwMATExMsHr1amhoaMDJyQldunTB8ePH4efnh5s3b+Lw4cM4f/483NzcAADBwcFwdnZ+Y59evHiBpUuX4tmzZ2jbtq24vm3btpg4caL4efjw4fDx8cH48eMBALVq1cKqVavQunVrrF27FnXq1IGrqyu2bt2K6dOnAwDCw8Ph7u4Oe3v7Ul2n9PR0PHv2DF27dkXNmjUBQOkc5s6dC29vb8yePVtc5+rqqnSMzp07Y/To0QCAgIAALF++HFFRUXB0dMSOHTugUCiwceNGMakNCQmBXC5HdHQ0Pv/8cwCAqakpVq1aBalUCkdHRyxatAhZWVn49ttvAfzfzYTTp0/D29u7yHmsWbMGxsbG2L59O7S0tAAADg4OSm2uXr0KAwMDpXWCILz1+uTm5iI3N1dpXcGLXOjo6Lx1PyIiIiIiUj+VVUDj4+ORm5uLdu3aFbvN1dVVTD4BoEWLFlAoFGLlDgDq1KkDDQ0N8bOlpaVY4YyPj4empiYaNWokbndycoJcLi8SLyAgAAYGBtDT08PChQuxYMECdOnSRdzeuHFjpfZxcXEIDQ2FgYGBuHTs2BEKhQLJyckAXlZBt27dCuBlErVt2zb4+PiU5hIBeJn4+fr6omPHjvDy8sLKlSuRkpIibo+NjS32Gr7KxcVF/LdEIoGFhYV4neLi4nDr1i0YGhqK52JqaoqcnBylCm6dOnUglf7ft4e5uTnq1asnftbQ0ICZmdkbK8yxsbHw8PAQk8/iODo6IjY2Vmk5dOjQW89t/vz5MDY2VlqWLF311n2IiIiIiN6MkxCpksoqoDKZ7IOP8XoyI5FIoFCU/gs3efJk+Pr6wsDAAObm5mIlsNCriTAAZGRkYOTIkfD39y9yLFtbWwBA//79ERAQgD/++APZ2dm4f/8++vXrV+q+AS8rkv7+/jhy5Ah27NiBadOmITIyEk2bNi3RdXzbdcrIyECjRo2KfT62cuXKbz1Gaa5/Sfqpra1dpEL8rkmMAgMD8c033yitK3iR9s5YRERERESkfipLQGvVqgWZTIbjx49j+PDhStucnZ0RGhqKzMxMMfmLiYkRh3+WhJOTE/Lz83Hp0iVxCG5CQgLS0tKKtK1UqVKphsY2bNgQ169ff+s+1tbWaN26NcLDw5GdnY0OHTqgSpUqJY7xugYNGqBBgwYIDAxEs2bNsHXrVjRt2hQuLi44fvw4hg4d+l7HbdiwIXbs2IEqVarAyMjovfv3Li4uLggLC0NeXt5bq6ClpaOjU2S4bdbz7DI7PhERERFVMBV0MiB1UdkQXF1dXQQEBGDKlCnYvHkzkpKS8PvvvyM4OBg+Pj7Q1dXFkCFD8OeffyIqKgpff/01Bg0aJD7/+S6Ojo7w9PTEyJEjce7cOVy6dAnDhw8vk8prQEAAzpw5g7FjxyI2NhaJiYk4cOBAkUmSfHx8sH37duzateu9ht8CQHJyMgIDA3H27FncvXsXR48eRWJiovgc6MyZM7Ft2zbMnDkT8fHxuHr1KhYuXFji4/v4+KBSpUro1q0bfvvtNyQnJyM6Ohr+/v5vnFDofYwdOxbp6enw9vbGxYsXkZiYiC1btigNqSYiIiIioopFpbPgTp8+HRMnTsSMGTPg7OyMfv36ITU1FXp6evj111/x9OlTuLm5oXfv3mjXrh1Wr15dquOHhITAysoKrVu3Rs+ePTFixIgPqkIWcnFxwcmTJ3Hz5k14eHigQYMGmDFjBqysrJTa9e7dG0+ePEFWVha6d+/+XrH09PRw48YN9OrVCw4ODhgxYgTGjBmDkSNHAgDatGmDXbt2ISIiAvXr10fbtm1x/vz5Uh3/1KlTsLW1Rc+ePeHs7Ixhw4YhJyenTCuiZmZmOHHiBDIyMtC6dWs0atQIGzZsKNNqKBERERHRhxKEArUtFZFEeNe0o0Qfuaznj9QTV6Kn8pi3sp+rPKa6aElUen9MJJNqvLtRGfst9b7KYwKAXFtX5TEbmHz4TcH3kZiRpvKY1nqGKo8JALFP1fM70ffLISqP+df/olQeEwBSXqj+0Q8DDfXcwE3OTFd5TG2pen7/m+p8+Ki50tJ8bR4SVbHRVv3fMPLX3nzwMcl6eFJtsfUsWqsttrqo5yeciIiIiIiIKhyVTUJUkb3+rstXHT58GB4eHirsDRERERERFRLe460a9P6YgKpAbGzsG7dVrVpVdR0hIiIiIiJSIyagKlCaV74QEREREZHqVNTJgNSFz4ASERERERGRSjABJSIiIiIiIpXgEFwiIiIiIqqwBAWH4KoSK6BERERERESkEqyAEhERERFRhcVJiFRLIgiCoO5OEH2IrIx/1RJXkOqoPGa2moaI5Knh/Vg6UvUM0HhekK/ymIYa6rkXmKuGr6tMqqHymACQmpej8phSiUTlMQFAR6Kenx11nK91l89UHhMAbv9yXOUxdSXq+dnR01B9XHX8bgLU8/+OFOr5PaEOhvr66u7CG6XfO6S22Ea2ncvluE+fPsXXX3+NgwcPQiqVolevXli5ciUMDAze2H7mzJk4evQo7t27h8qVK6N79+6YM2cOjI2NxXaSYn7Xb9u2Dd7e3iXuGyugRERERERUcanppkd58vHxQUpKCiIjI5GXl4ehQ4dixIgR2Lp1a7HtHzx4gAcPHmDJkiWoXbs27t69i6+++goPHjzA7t27ldqGhITA09NT/CyXy0vVNyagREREREREn4j4+HgcOXIEFy5cQOPGjQEAP/zwAzp37owlS5bAysqqyD5169bFnj17xM81a9bE3LlzMXDgQOTn50NT8//SRrlcDgsLi/fuHychIiIiIiIiUoPc3Fykp6crLbm5uR90zLNnz0Iul4vJJwC0b98eUqkU586dK/Fxnj17BiMjI6XkEwDGjBmDSpUqoUmTJti0aRNK+0QnE1AiIiIiIqqwBKFAbcv8+fNhbGystMyfP/+Dzufhw4eoUqWK0jpNTU2Ympri4cOHJTrG48ePMWfOHIwYMUJpfVBQEHbu3InIyEj06tULo0ePxg8//FCq/nEILhERERERkRoEBgbim2++UVqno1P8RJdTp07FwoUL33q8+Pj4D+5Teno6unTpgtq1a2PWrFlK26ZPny7+u0GDBsjMzMTixYvh7+9f4uMzASUiIiIiogpLUNNbBoCXyeabEs7XTZw4Eb6+vm9tU6NGDVhYWCA1NVVpfX5+Pp4+ffrOZzefP38OT09PGBoaYt++fdDS0npre3d3d8yZMwe5ubklPg8moERERERERB+5ypUro3Llyu9s16xZM6SlpeHSpUto1KgRAODEiRNQKBRwd3d/437p6eno2LEjdHR0EBERAV1d3XfGio2NhYmJSYmTT4AJKBERERER0SfD2dkZnp6e8PPzw7p165CXl4exY8fC29tbnAH377//Rrt27bB582Y0adIE6enp+Pzzz5GVlYWff/5ZnBAJeJn4amho4ODBg3j06BGaNm0KXV1dREZGYt68eZg0aVKp+scEtBzZ2dlh/PjxGD9+vLq7QkRERERExRAE9Q3BLS/h4eEYO3Ys2rVrB6lUil69emHVqlXi9ry8PCQkJCArKwsA8Mcff4gz5Nrb2ysdKzk5GXZ2dtDS0sKaNWswYcIECIIAe3t7LFu2DH5+fqXqGxNQFbKzs8Pdu3cBAHp6enB0dERgYCD69Omj1n49ffoUQUFB2LdvH1JSUlCpUiV4enpi1qxZsLW1LdExfH19kZaWhv3795dvZ4mIiIiI6K1MTU2xdevWN263s7NTen1KmzZt3vk6FU9PT3h6en5w3/gaFhULCgpCSkoKLl++DDc3N/Tr1w9nzpwptu2LFy/KvT9Pnz5F06ZNcezYMaxbtw63bt3C9u3bcevWLbi5ueH27dvl3gciIiIiInURFAq1LRVRhUlAFQoFFi1aBHt7e+jo6MDW1hZz584FAFy9ehVt27aFTCaDmZkZRowYgYyMDHFfX19fdO/eHUuWLIGlpSXMzMwwZswY5OXliW1SU1Ph5eUFmUyG6tWrIzw8vNh+GBoawsLCAg4ODlizZg1kMhkOHjwI4OWdiDlz5mDw4MEwMjIS37tz+vRpeHh4QCaTwcbGBv7+/sjMzAQAfPvtt8U+TOzq6oqgoKB3XpfvvvsODx48wLFjx9CpUyfY2tqiVatW+PXXX6GlpYUxY8aIbXfv3o169eqJ16l9+/bIzMzErFmzEBYWhgMHDkAikUAikSA6OhoAcP/+ffTt2xdyuRympqbo1q0b7ty5o/R1CQoKgrW1NXR0dFC/fn0cOXLknf0mIiIiIqL/ngqTgAYGBmLBggWYPn06rl+/jq1bt8Lc3ByZmZno2LEjTExMcOHCBezatQvHjh3D2LFjlfaPiopCUlISoqKiEBYWhtDQUISGhorbfX19cf/+fURFRWH37t348ccfi0x//DpNTU1oaWkpVTqXLFkCV1dXXL58GdOnT0dSUhI8PT3Rq1cvXLlyBTt27MDp06fF/vn4+OD8+fNISkoSj3Ht2jVcuXIFAwYMeGt8hUKB7du3w8fHp8iUzDKZDKNHj8avv/6Kp0+fIiUlBf3798eXX36J+Ph4REdHo2fPnhAEAZMmTULfvn3h6emJlJQUpKSkoHnz5sjLy0PHjh1haGiI3377DTExMTAwMICnp6d4zitXrsTSpUuxZMkSXLlyBR07dsQXX3yBxMTEt/adiIiIiKgsCEKB2paKqEI8A/r8+XOsXLkSq1evxpAhQwAANWvWRMuWLbFhwwbk5ORg8+bN0NfXBwCsXr0aXl5eWLhwIczNzQEAJiYmWL16NTQ0NODk5IQuXbrg+PHj8PPzw82bN3H48GGcP38ebm5uAIDg4GA4Ozu/sU8vXrzA0qVL8ezZM7Rt21Zc37ZtW0ycOFH8PHz4cPj4+IgTGdWqVQurVq1C69atsXbtWtSpUweurq7YunWr+GLY8PBwuLu7F3mA+HX//PMP0tLS3thPZ2dnCIKAW7duQVNTE/n5+ejZsyeqVasGAKhXr57YViaTITc3VymR/fnnn6FQKLBx40ZIJBIAQEhICORyOaKjo/H5559jyZIlCAgIgLe3NwBg4cKFiIqKwooVK7BmzZoifcrNzUVubq7SuoK8kr93iIiIiIiI1KdCVEDj4+ORm5uLdu3aFbvN1dVVTD4BoEWLFlAoFEhISBDX1alTBxoaGuJnS0tLscIZHx8PTU1N8T07AODk5AS5XF4kXkBAAAwMDKCnp4eFCxdiwYIF6NKli7i9cePGSu3j4uIQGhoKAwMDcenYsSMUCgWSk5MBvKyCFj5kLAgCtm3bBh8fnxJfn3c9cAy8HNLbrl071KtXD3369MGGDRvw77//vnWfuLg43Lp1C4aGhmLfTU1NkZOTg6SkJKSnp+PBgwdo0aKF0n4tWrRAfHx8scecP38+jI2NlZYlS5eX+FyJiIiIiEh9KkQFVCaTffAxtLS0lD5LJBIo3uPB4cmTJ8PX1xcGBgYwNzcXK4OFXk2EASAjIwMjR46Ev79/kWMVzlDbv39/BAQE4I8//kB2djbu37+Pfv36vbMvlStXhlwuf2OyFx8fD4lEAnt7e2hoaCAyMhJnzpzB0aNH8cMPP+C7777DuXPnUL169WL3z8jIQKNGjYp9HrYkL9EtTmBgIL755huldQV5We91LCIiIiIiQVExh8KqS4WogNaqVQsymQzHjx8vss3Z2RlxcXHipD4AEBMTA6lUCkdHxxId38nJCfn5+bh06ZK4LiEhAWlpaUXaVqpUCfb29rCwsCiSfBanYcOGuH79Ouzt7Yss2traAABra2u0bt0a4eHhCA8PR4cOHVClSpV3HlsqlaJv377YunUrHj58qLQtOzsbP/74Izp27AhTU1MAL5PuFi1aYPbs2bh8+TK0tbWxb98+AIC2tjYKCpR/eBs2bIjExERUqVKlSN+NjY1hZGQEKysrxMTEKO0XExOD2rVrF9tnHR0dGBkZKS0cfktERERE9N9QIRJQXV1dBAQEYMqUKdi8eTOSkpLw+++/Izg4GD4+PtDV1cWQIUPw559/IioqCl9//TUGDRokPv/5Lo6OjvD09MTIkSNx7tw5XLp0CcOHDy+TymtAQADOnDmDsWPHIjY2FomJiThw4ECRSZJ8fHywfft27Nq1q1TDb+fNmwcLCwt06NABhw8fxv3793Hq1Cl07NgReXl54nOY586dw7x583Dx4kXcu3cPe/fuxT///CM+P2pnZ4crV64gISEBjx8/Rl5eHnx8fFCpUiV069YNv/32G5KTkxEdHQ1/f3/89ddfAF5WhBcuXIgdO3YgISEBU6dORWxsLMaNG/fB146IiIiI6F04CZFqVYgEFACmT5+OiRMnYsaMGXB2dka/fv2QmpoKPT09caZXNzc39O7dG+3atcPq1atLdfyQkBBYWVmhdevW6NmzJ0aMGFGiKuS7uLi44OTJk7h58yY8PDzQoEEDzJgxA1ZWVkrtevfujSdPniArKwvdu3cv8fHNzMzw+++/47PPPsPIkSNRs2ZN9O3bFzVr1sSFCxdQo0YNAICRkRFOnTqFzp07w8HBAdOmTcPSpUvRqVMnAICfnx8cHR3RuHFjVK5cGTExMdDT08OpU6dga2uLnj17wtnZGcOGDUNOTg6MjIwAAP7+/vjmm28wceJE1KtXD0eOHEFERARq1ar1wdeOiIiIiIg+LhKhJDPQEH3EsjLePhlSeRGkqh/6m62mZxTy1PCiZB2peu6PPS/IV3lMQw31PI6fq4avq0yq8e5G5SA1L0flMaUleMyiPOhI1POzo47zte7ymcpjAsDtX4o+0lPedCXq+dnR01B9XHX8bgLU8/+OFOr5PaEOhq/Nc/Ix+ed6qNpiV67tq7bY6lIhJiEiIiIiIiIqjqCmmx4VVYUZgltRvfr6lteX3377Td3dIyIiIiKiCoQV0E9cbGzsG7dVrVpVdR0hIiIiIvoIVdTJgNSFCegnzt7eXt1dICIiIiIiAsAElIiIiIiIKjI1TfJYUfEZUCIiIiIiIlIJJqBERERERESkEhyCS0REREREFRYnIVItJqD03ydRz7dxrhqeF0jPz1N5TABQQFB5zBeCegZoqOPr+jT/hcpjAuo5VweZocpjAoCWGl4wn12gnj9oHhfkqiWupkSi8pi3fzmu8pgAUKNrO5XHVNe55uSr/vs4qyBf5TEBwEhDS+UxZRrq+RtGE6r/eSUqxASUiIiIiIgqLEGhUHcXKhQ+A0pEREREREQqwQSUiIiIiIiIVIJDcImIiIiIqMLiJESqxQooERERERERqQQroEREREREVGEJapgVviJjBZSIiIiIiIhUghVQIiIiIiKqsPgMqGqxAloMOzs7rFixQt3dKBMSiQT79+9XdzeIiIiIiIiYgJaEnZ0dJBIJJBIJ9PX10bBhQ+zatUutfZo1a5bYJw0NDdjY2GDEiBF4+vSpWvtFRERERET0JkxASygoKAgpKSm4fPky3Nzc0K9fP5w5c6bYti9evFBJn+rUqYOUlBTcu3cPISEhOHLkCEaNGqWS2EREREREnwJBoVDbUhF99AmoQqHAokWLYG9vDx0dHdja2mLu3LkAgKtXr6Jt27aQyWQwMzPDiBEjkJGRIe7r6+uL7t27Y8mSJbC0tISZmRnGjBmDvLw8sU1qaiq8vLwgk8lQvXp1hIeHF9sPQ0NDWFhYwMHBAWvWrIFMJsPBgwcBvKyQzpkzB4MHD4aRkRFGjBgBADh9+jQ8PDwgk8lgY2MDf39/ZGZmAgC+/fZbuLu7F4nj6uqKoKCgEl0bTU1NWFhYoGrVqmjfvj369OmDyMjIIu0eP36MHj16QE9PD7Vq1UJERITS9j///BOdOnWCgYEBzM3NMWjQIDx+/FjcXtyQ5Pr162PWrFniZ4lEgvXr16Nr167Q09ODs7Mzzp49i1u3bqFNmzbQ19dH8+bNkZSUJO6TlJSEbt26wdzcHAYGBnBzc8OxY8dKdO5ERERERPTf89EnoIGBgViwYAGmT5+O69evY+vWrTA3N0dmZiY6duwIExMTXLhwAbt27cKxY8cwduxYpf2joqKQlJSEqKgohIWFITQ0FKGhoeJ2X19f3L9/H1FRUdi9ezd+/PFHpKamvrVPmpqa0NLSUqp0LlmyBK6urrh8+TKmT5+OpKQkeHp6olevXrhy5Qp27NiB06dPi/3z8fHB+fPnlRKya9eu4cqVKxgwYECpr9OdO3fw66+/Qltbu8i22bNno2/fvrhy5Qo6d+4MHx8fcahuWloa2rZtiwYNGuDixYs4cuQIHj16hL59+5a6D4VJeGxsLJycnDBgwACMHDkSgYGBuHjxIgRBUPr6ZGRkoHPnzjh+/DguX74MT09PeHl54d69e6WOTURERET0PgShQG1LRfRRz4L7/PlzrFy5EqtXr8aQIUMAADVr1kTLli2xYcMG5OTkYPPmzdDX1wcArF69Gl5eXli4cCHMzc0BACYmJli9ejU0NDTg5OSELl264Pjx4/Dz88PNmzdx+PBhnD9/Hm5ubgCA4OBgODs7v7FPL168wNKlS/Hs2TO0bdtWXN+2bVtMnDhR/Dx8+HD4+Phg/PjxAIBatWph1apVaN26NdauXYs6derA1dUVW7duxfTp0wEA4eHhcHd3h729fYmuz9WrV2FgYICCggLk5OQAAJYtW1akna+vL/r37w8AmDdvHlatWoXz58/D09MTq1evRoMGDTBv3jyx/aZNm2BjY4ObN2/CwcGhRH0BgKFDh4qJa0BAAJo1a4bp06ejY8eOAIBx48Zh6NChYntXV1e4urqKn+fMmYN9+/YhIiKiyI2EQrm5ucjNzVVaV5D/Ajo6OiXuJxERERERqcdHXQGNj49Hbm4u2rVrV+w2V1dXMfkEgBYtWkChUCAhIUFcV6dOHWhoaIifLS0txQpnfHw8NDU10ahRI3G7k5MT5HJ5kXgBAQEwMDCAnp4eFi5ciAULFqBLly7i9saNGyu1j4uLQ2hoKAwMDMSlY8eOUCgUSE5OBvCyCrp161YAgCAI2LZtG3x8fEp8fRwdHREbG4sLFy4gICAAHTt2xNdff12knYuLi/hvfX19GBkZidcgLi4OUVFRSv10cnICAKXqbEm8GqfwBkC9evWU1uXk5CA9PR3AywropEmT4OzsDLlcDgMDA8THx7+1Ajp//nwYGxsrLUuWLC1VP4mIiIiISD0+6gqoTCb74GNoaWkpfZZIJFC8xwO/kydPhq+vr/icpEQiUdr+aiIMvEyuRo4cCX9//yLHsrW1BQD0798fAQEB+OOPP5CdnY379++jX79+Je6Ttra2WC0tTIhnz56NOXPmKLV72zXIyMgQq8avs7S0BABIpVIIgqC07dXnaIuLU3h9iltXGHvSpEmIjIzEkiVLYG9vD5lMht69e791EqfAwEB88803SusK8lUz6RMRERERfXoERcUcCqsuH3UCWqtWLchkMhw/fhzDhw9X2ubs7IzQ0FBkZmaKyV9MTAykUikcHR1LdHwnJyfk5+fj0qVL4hDchIQEpKWlFWlbqVKlEg+NBYCGDRvi+vXrb93H2toarVu3Rnh4OLKzs9GhQwdUqVKlxDFeN23aNLRt2xajRo2ClZVVifu5Z88e2NnZQVOz+G+HypUrIyUlRfycnp4uVnE/RExMDHx9fdGjRw8AL5PhO3fuvHUfHR2dIsNtszKff3BfiIiIiIio/H3UQ3B1dXUREBCAKVOmYPPmzUhKSsLvv/+O4OBg+Pj4QFdXF0OGDMGff/6JqKgofP311xg0aJA4/PNdHB0d4enpiZEjR+LcuXO4dOkShg8fXiaV14CAAJw5cwZjx45FbGwsEhMTceDAgSLPNvr4+GD79u3YtWtXqYbfFqdZs2ZwcXFRep7zXcaMGYOnT5+if//+uHDhApKSkvDrr79i6NChKCh4eTeobdu22LJlC3777TdcvXoVQ4YMURrW/L5q1aqFvXv3IjY2FnFxcRgwYMB7VaeJiIiIiN4XJyFSrY86AQWA6dOnY+LEiZgxYwacnZ3Rr18/pKamQk9PD7/++iuePn0KNzc39O7dG+3atcPq1atLdfyQkBBYWVmhdevW6NmzJ0aMGPFBVchCLi4uOHnyJG7evAkPDw80aNAAM2bMKFKZ7N27N548eYKsrCx07979g+NOmDABGzduxP3790vU3srKCjExMSgoKMDnn3+OevXqYfz48ZDL5ZBKX357BAYGonXr1ujatSu6dOmC7t27o2bNmh/c12XLlsHExATNmzeHl5cXOnbsiIYNG37wcYmIiIiI6OMkEV5/uI/oP0ZdQ3Bz1PCTk5Zf9NlbVVBA9SerJVHP/bFcNTwHkqmmZ0/Uca4OMkOVxwSAZwWq/9nJLlDP1zVdDecKAJqvzY2gCmZa6pkBvUbXopMjlrfbvxxXeUx1ySrIV0tcIw2tdzcqYzIN9TwNpwnV/7zKDQxUHrOkkk9NU1vs6q2+V1tsdfnoK6BERERERET0aWAC+pF69bUory+//faburtHRERERERUah/1LLgVWWxs7Bu3Va1aVXUdISIiIiL6hAlqemSiomIC+pEqzStfiIiIiIiI/guYgBIRERERUYUlqGkywIqKz4ASERERERGRSjABJSIiIiIiIpXgEFwiIiIiIqqwOAmRarECSkRERERERCrBCih9AhRqiqr6+zeP83JVHhMAnuRmqzymTFM9v54MNbXVElcdnuRkqTymQmao8pgAkFGQr/KY+lL1fA9rS9VzbzlfEFQeU1eiofKYAHD7l+Mqj1mjazuVxwSAYzv2qTzmvy9yVB4TANxMzFUeM1sNv5sAQF+DKcCrFJyESKVYASUiIiIiIiKVYAJKREREREREKsH6OxERERERVVichEi1WAElIiIiIiIilWAFlIiIiIiIKixWQFWLFVAiIiIiIiJSCVZAiYiIiIiowhIU6nkdTkXFCmgZsrOzw4oVK9TdjY9KaGgo5HK5urtBREREREQfASag5cjOzg4SiQQSiQT6+vpo2LAhdu3apdY+ZWVlITAwEDVr1oSuri4qV66M1q1b48CBA2IbJtJERERERFQeOAS3nAUFBcHPzw/p6elYunQp+vXrh6pVq6J58+ZF2r548QLa2trl2p+vvvoK586dww8//IDatWvjyZMnOHPmDJ48eVKq4xQUFEAikUAq5T0MIiIiIvrvUnASIpX6ZLMHhUKBRYsWwd7eHjo6OrC1tcXcuXMBAFevXkXbtm0hk8lgZmaGESNGICMjQ9zX19cX3bt3x5IlS2BpaQkzMzOMGTMGeXl5YpvU1FR4eXlBJpOhevXqCA8PL7YfhoaGsLCwgIODA9asWQOZTIaDBw8CeFlpnDNnDgYPHgwjIyOMGDECAHD69Gl4eHhAJpPBxsYG/v7+yMzMBAB8++23cHd3LxLH1dUVQUFB77wuERER+Pbbb9G5c2fY2dmhUaNG+Prrr/Hll18CANq0aYO7d+9iwoQJYvUW+L+htBEREahduzZ0dHRw7949/Pvvvxg8eDBMTEygp6eHTp06ITEx8Y3x//nnHzRu3Bg9evRAbm4uFAoF5s+fj+rVq0Mmk8HV1RW7d+9+53kQEREREdF/zyebgAYGBmLBggWYPn06rl+/jq1bt8Lc3ByZmZno2LEjTExMcOHCBezatQvHjh3D2LFjlfaPiopCUlISoqKiEBYWhtDQUISGhorbfX19cf/+fURFRWH37t348ccfkZqa+tY+aWpqQktLCy9evBDXLVmyBK6urrh8+TKmT5+OpKQkeHp6olevXrhy5Qp27NiB06dPi/3z8fHB+fPnkZSUJB7j2rVruHLlCgYMGPDO62JhYYFDhw7h+fPnxW7fu3cvrK2tERQUhJSUFKSkpIjbsrKysHDhQmzcuBHXrl1DlSpV4Ovri4sXLyIiIgJnz56FIAjo3LmzUrJe6P79+/Dw8EDdunWxe/du6OjoYP78+di8eTPWrVuHa9euYcKECRg4cCBOnjz5znMhIiIiIvpQgqJAbUtF9EkOwX3+/DlWrlyJ1atXY8iQIQCAmjVromXLltiwYQNycnKwefNm6OvrAwBWr14NLy8vLFy4EObm5gAAExMTrF69GhoaGnByckKXLl1w/Phx+Pn54ebNmzh8+DDOnz8PNzc3AEBwcDCcnZ3f2KcXL15g6dKlePbsGdq2bSuub9u2LSZOnCh+Hj58OHx8fDB+/HgAQK1atbBq1Sq0bt0aa9euRZ06deDq6oqtW7di+vTpAIDw8HC4u7vD3t7+ndfmp59+go+PD8zMzODq6oqWLVuid+/eaNGiBQDA1NQUGhoaYuX2VXl5efjxxx/h6uoKAEhMTERERARiYmLEIcXh4eGwsbHB/v370adPH3HfhIQEdOjQAT169MCKFSsgkUiQm5uLefPm4dixY2jWrBkAoEaNGjh9+jTWr1+P1q1bF+l/bm4ucnNzldYV5OdCR0fnnedORERERETq9UlWQOPj45Gbm4t27doVu83V1VVMPgGgRYsWUCgUSEhIENfVqVMHGhoa4mdLS0uxwhkfHw9NTU00atRI3O7k5FTsbK8BAQEwMDCAnp4eFi5ciAULFqBLly7i9saNGyu1j4uLQ2hoKAwMDMSlY8eOUCgUSE5OBvCyCrp161YAgCAI2LZtG3x8fEp0bVq1aoXbt2/j+PHj6N27N65duwYPDw/MmTPnnftqa2vDxcVF/Fx4HV4dEmxmZgZHR0fEx8eL67Kzs+Hh4YGePXti5cqV4rDeW7duISsrCx06dFA6382bNytVeF81f/58GBsbKy1Lliwr0bkTEREREZF6fZIVUJlM9sHH0NLSUvoskUigUChKfZzJkyfD19cXBgYGMDc3F5OvQq8mwgCQkZGBkSNHwt/fv8ixbG1tAQD9+/dHQEAA/vjjD2RnZ+P+/fvo169fifukpaUFDw8PeHh4ICAgAN9//z2CgoIQEBDw1kmQZDJZkf6XhI6ODtq3b49ffvkFkydPRtWqVQFAfO72f//7n7ju1X2KExgYiG+++UZpXUF+Tqn7REREREQEAAInIVKpTzIBrVWrFmQyGY4fP47hw4crbXN2dkZoaCgyMzPF5C8mJgZSqRSOjo4lOr6TkxPy8/Nx6dIlcQhuQkIC0tLSirStVKlSiYbGFmrYsCGuX7/+1n2sra3RunVrhIeHIzs7Gx06dECVKlVKHON1tWvXRn5+PnJycqCtrQ1tbW0UlOAH0dnZGfn5+Th37pw4BPfJkydISEhA7dq1xXZSqRRbtmzBgAED8NlnnyE6OhpWVlZKkxkVN9y2ODo6OkWS06xMoRRnS0RERERE6vJJJqC6uroICAjAlClToK2tjRYtWuCff/7BtWvX4OPjg5kzZ2LIkCGYNWsW/vnnH3z99dcYNGiQ+Pznuzg6OsLT0xMjR47E2rVroampifHjx5dJ5TUgIABNmzbF2LFjMXz4cOjr6+P69euIjIzE6tWrxXaF5/HixQssX768xMdv06YN+vfvj8aNG8PMzAzXr1/Ht99+i88++wxGRkYAXs7Oe+rUKXh7e0NHRweVKlUq9li1atVCt27d4Ofnh/Xr18PQ0BBTp05F1apV0a1bN6W2GhoaCA8PR//+/dG2bVtER0fDwsICkyZNwoQJE6BQKNCyZUs8e/YMMTExMDIyEp/fJSIiIiIqLxV1MiB1+SSfAQWA6dOnY+LEiZgxYwacnZ3Rr18/pKamQk9PD7/++iuePn0KNzc39O7dG+3atVNK7koiJCQEVlZWaN26NXr27IkRI0Z8UBWykIuLC06ePImbN2/Cw8MDDRo0wIwZM2BlZaXUrnfv3njy5AmysrLQvXv3Eh+/Y8eOCAsLw+effw5nZ2d8/fXX6NixI3bu3Cm2CQoKwp07d1CzZk1Urlz5rccLCQlBo0aN0LVrVzRr1gyCIODQoUNFhjADL2cB3rZtG+rUqYO2bdsiNTUVc+bMwfTp0zF//nw4OzvD09MT//vf/1C9evUSnxMREREREf2fp0+fwsfHB0ZGRpDL5Rg2bJjSayeL06ZNG/E1jIXLV199pdTm3r176NKlC/T09FClShVMnjwZ+fn5peqbRBAEjl+k/7SszGfqiSuo/v7N7ey3/+IoL09ys1UeU6apngEahppvfg76U/NQDd9P7iYlG2lS1lJeqP57WF+qnu9hBdTz33q+Gv6cMNYoerNTFXIE1VdLanQtOrGiKhzbsU/lMf99oZ65HdzU8PtJXZUgfQ3V/34yNTBUecySit1S8rlUylr9QTvK5bidOnVCSkoK1q9fj7y8PAwdOhRubm7iRKbFadOmDRwcHBAUFCSu09PTE0dJFhQUoH79+rCwsMDixYuRkpKCwYMHw8/PD/PmzStx3z7JIbhEREREREQVUXx8PI4cOYILFy6Ib9z44Ycf0LlzZyxZsqTIyMpX6enpFXkVY6GjR4/i+vXrOHbsGMzNzVG/fn3MmTMHAQEBmDVr1lsnM33VJzsEt6J69XUmry+//faburtHRERERET/X25uLtLT05WW1995X1pnz56FXC5Xet1j+/btIZVKce7cubfuGx4ejkqVKqFu3boIDAxEVlaW0nHr1aunNG9Ox44dkZ6ejmvXrpW4f6yAfmJiY2PfuO31V50QEREREVV06pyEaP78+Zg9e7bSupkzZ2LWrFnvfcyHDx8WmZtGU1MTpqamePjw4Rv3GzBgAKpVqwYrKytcuXIFAQEBSEhIwN69e8Xjvj5pa+Hntx33dUxAPzGleeULERERERGpT3HvuH/9lYOFpk6dioULF771ePHx8e/dlxEjRoj/rlevHiwtLdGuXTskJSWhZs2a733c1zEBJSIiIiKiCksoUF8FtLh33L/JxIkT4evr+9Y2NWrUgIWFBVJTU5XW5+fn4+nTp298vrM47u7uAIBbt26hZs2asLCwwPnz55XaPHr0CABKdVwmoERERERERB+5ypUrv/MViQDQrFkzpKWl4dKlS2jUqBEA4MSJE1AoFGJSWRKFj/ZZWlqKx507dy5SU1PFIb6RkZEwMjJC7dq1S3xcTkJERERERET0iXB2doanpyf8/Pxw/vx5xMTEYOzYsfD29hZnwP3777/h5OQkVjSTkpIwZ84cXLp0CXfu3EFERAQGDx6MVq1awcXFBQDw+eefo3bt2hg0aBDi4uLw66+/Ytq0aRgzZkyJq7gAK6BERERERFSBCQX56u5CmQsPD8fYsWPRrl07SKVS9OrVC6tWrRK35+XlISEhQZzlVltbG8eOHcOKFSuQmZkJGxsb9OrVC9OmTRP30dDQwC+//IJRo0ahWbNm0NfXx5AhQ5TeG1oSTECJiIiIiIg+Iaampti6desbt9vZ2UEQBPGzjY0NTp48+c7jVqtWDYcOHfqgvjEBpf++/HS1hH1UUPKhBmWlx+oVKo8JAGYmJiqP6V7bUeUxAWCim4fKY958/q/KYwLArWdPVB7T2dBU5TEB4LdH91Ues71FNZXHBID72RlqiftCoVB5zOYmVd7dqBzk5Kt+wpJjO/apPCYAtO/XQ+Ux5U1bqjwmAPw5fY7KY+pINVQeEwBS8z7sPZPvwxSGKo9ZUgo1voalIuIzoERERERERKQSrIASEREREVGFpc7XsFRErIASERERERGRSjABJSIiIiIiIpXgEFwiIiIiIqqwBE5CpFKsgBIREREREZFKsAJKREREREQVFichUi1WQImIiIiIiEglmIB+QmbNmoX69et/0DHu3LkDiUSC2NjYMukTERERERFRoXJPQH19fdG9e/cyPea2bdugoaGBMWPGlNkx7ezssGLFihK3j46OhkQiQVpamtLnwsXc3By9evXC7du3Sxy/cF89PT3Uq1cPGzduLNU5TJo0CcePHy/VPh+qY8eO0NDQwIULF1Qal4iIiIioLCgUBWpbKqL/ZAU0ODgYU6ZMwbZt25CTk6Pu7ihJSEjAgwcPsGvXLly7dg1eXl4oKOG48qCgIKSkpODPP//EwIED4efnh8OHD5c4toGBAczMzN6366V27949nDlzBmPHjsWmTZtUFpeIiIiIiP6bVJqAtmnTBv7+/pgyZQpMTU1hYWGBWbNmidsFQcCsWbNga2sLHR0dWFlZwd/fX+kYycnJOHPmDKZOnQoHBwfs3btXaXtoaCjkcjl++eUXODo6Qk9PD71790ZWVhbCwsJgZ2cHExMT+Pv7i4lhmzZtcPfuXUyYMEGsQr6vKlWqwNLSEq1atcKMGTNw/fp13Lp1q0T7GhoawsLCAjVq1EBAQABMTU0RGRkpbk9LS8Pw4cNRuXJlGBkZoW3btoiLixO3vz4Et7D6PG/ePJibm0MulyMoKAj5+fmYPHkyTE1NYW1tjZCQkCJ9uXHjBpo3bw5dXV3UrVsXJ0+eLNImJCQEXbt2xahRo7Bt2zZkZ2cDAG7evAmJRIIbN24otV++fDlq1qwpfo6IiECtWrWgq6uLzz77DGFhYUpVZSIiIiKi8iYUFKhtqYhUXgENCwuDvr4+zp07h0WLFiEoKEhMsvbs2YPly5dj/fr1SExMxP79+1GvXj2l/UNCQtClSxcYGxtj4MCBCA4OLhIjKysLq1atwvbt23HkyBFER0ejR48eOHToEA4dOoQtW7Zg/fr12L17NwBg7969sLa2FiuQKSkpZXKuMpkMAPDixYtS7adQKLBnzx78+++/0NbWFtf36dMHqampOHz4MC5duoSGDRuiXbt2ePr06RuPdeLECTx48ACnTp3CsmXLMHPmTHTt2hUmJiY4d+4cvvrqK4wcORJ//fWX0n6TJ0/GxIkTcfnyZTRr1gxeXl548uSJuF0QBISEhGDgwIFwcnKCvb29eD0dHBzQuHFjhIeHKx0zPDwcAwYMAPDyRkLv3r3RvXt3xMXFYeTIkfjuu+9KdZ2IiIiIiOi/ReUJqIuLC2bOnIlatWph8ODBaNy4sfjc4r1792BhYYH27dvD1tYWTZo0gZ+fn7ivQqFAaGgoBg4cCADw9vbG6dOnkZycrBQjLy8Pa9euRYMGDdCqVSv07t0bp0+fRnBwMGrXro2uXbvis88+Q1RUFADA1NQUGhoaYgXSwsLig88zJSUFS5YsQdWqVeHo6FiifQICAmBgYAAdHR307t0bJiYmGD58OADg9OnTOH/+PHbt2oXGjRujVq1aWLJkCeRyuZj4FcfU1BSrVq2Co6MjvvzySzg6OiIrKwvffvstatWqhcDAQGhra+P06dNK+40dOxa9evWCs7Mz1q5dC2NjY6Vk/9ixY8jKykLHjh0BoMjNAB8fH2zbtk38fPPmTVy6dAk+Pj4AgPXr18PR0RGLFy+Go6MjvL294evr+85rlJubi/T0dKUlNzf33ReXiIiIiKgYgiJfbUtFpJYE9FWWlpZITU0F8LLCl52djRo1asDPzw/79u1Dfv7/fWEiIyORmZmJzp07AwAqVaqEDh06FHn+UE9PT2mop7m5Oezs7GBgYKC0rjBuWbK2toa+vj6srKyQmZmJPXv2KFUx32by5MmIjY3FiRMn4O7ujuXLl8Pe3h4AEBcXh4yMDJiZmcHAwEBckpOTkZSU9MZj1qlTB1Lp/32Zzc3NlarKGhoaMDMzK3ItmjVrJv5bU1MTjRs3Rnx8vLhu06ZN6NevHzQ1X75Ktn///oiJiRH74u3tjTt37uD3338H8LL62bBhQzg5OQF4+aysm5ubUswmTZq88xrNnz8fxsbGSsuSZWveuR8REREREamfpqoDamlpKX2WSCRQKBQAABsbGyQkJODYsWOIjIzE6NGjsXjxYpw8eRJaWloIDg7G06dPxaGtwMuq6JUrVzB79mwx0SouxtvilqXffvsNRkZGqFKlCgwNDUu1b6VKlWBvbw97e3vs2rUL9erVQ+PGjVG7dm1kZGTA0tIS0dHRRfaTy+VvPGZ5XIunT59i3759YqW5UEFBATZt2oS5c+fCwsICbdu2xdatW9G0aVNs3boVo0aNKnGMNwkMDMQ333yjtK4gp+xvJBARERERUdlTeQL6LjKZDF5eXvDy8sKYMWPg5OSEq1evolq1ajhw4AC2b9+OOnXqiO0LCgrQsmVLHD16FJ6enu8dV1tbu8Sz1b5N9erV35oQlpSNjQ369euHwMBAHDhwAA0bNsTDhw+hqakJOzu7Dz7+u/z+++9o1aoVACA/Px+XLl3C2LFjAbysZlpbW2P//v1K+xw9ehRLly5FUFAQNDQ04OPjgylTpqB///64ffs2vL29xbaOjo44dOiQ0v4leZWLjo4OdHR0lNZlCc/e5xSJiIiIiCrsZEDq8lG9hiU0NBTBwcH4888/cfv2bfz888+QyWSoVq0atmzZAjMzM/Tt2xd169YVF1dXV3Tu3LnYyYhKw87ODqdOncLff/+Nx48fl9EZfZhx48bh4MGDuHjxItq3b49mzZqhe/fuOHr0KO7cuYMzZ87gu+++w8WLF8s89po1a7Bv3z7cuHEDY8aMwb///osvv/wSwMvX4PTu3Vvp61C3bl0MGzYMjx8/xpEjRwAAPXv2xPPnzzFq1Ch89tlnsLKyEo8/cuRI3LhxAwEBAbh58yZ27tyJ0NBQAPigWYiJiIiIiOjj9VEloHK5HBs2bECLFi3g4uKCY8eO4eDBgzAzM8OmTZvQo0ePYpOTXr16ISIi4oMSx6CgINy5cwc1a9ZE5cqVP+Q0ykzt2rXx+eefY8aMGZBIJDh06BBatWqFoUOHwsHBAd7e3rh79y7Mzc3LPPaCBQuwYMECuLq64vTp04iIiEClSpVw6dIlxMXFoVevXkX2MTY2Rrt27cSbAYaGhvDy8kJcXJw4+VCh6tWrY/fu3di7dy9cXFywdu1acRbc1yucRERERETlRaEoUNtSEUkEQRDU3QkiAJg7dy7WrVuH+/fvl2q/rGela19WkgtUnyh/vnKpymMCgJmJicpjutcu2ezRZW2im4fKY958/q/KYwLArWdP3t2ojHW3cVB5TAA4kpL87kZlrL1FNZXHBID72RlqifuiHOZVeJfmJlVUHhMAnuaX7vVqZeF2ZrrKYwJA+349VB5T3rSlymMCwJ/T56g8po5UQ+UxAeBxnurfIOBkUknlMUvq5NwGaovd+rvLaoutLh/dM6BUcfz4449wc3ODmZkZYmJisHjxYvE5UyIiIiIi+vR8VENwPyadOnVSet3Jq8u8efNKdazw8PA3HuvVCZUqmsTERHTr1g21a9fGnDlzMHHiRMyaNUvd3SIiIiKiCkQoKFDbUhGxAvoGGzduRHZ2drHbTE1NS3WsL774Au7u7sVue/2VKBXJ8uXLsXz5cnV3g4iIiIiIVIQJ6BtUrVq1zI5laGhY6neCEhERERFR+VMoOCWOKnEILhEREREREakEK6BERERERFRhKdQwi3dFxgooERERERERqQQTUCIiIiIiIlIJDsGlT4B6hk2oI2pVS0s1RAXu//23WuKqw8PcLJXHTH+h+heCqytujkI9U85n5r1QfUw1nesLNQ0l05aq/p52rprONasgX+Ux/32Ro/KYACBv2lLlMdN+P63ymAAghUTlMRUCJ7/5GHASItViBZSIiIiIiIhUghVQIiIiIiKqsFgBVS1WQImIiIiIiEglmIASERERERGRSnAILhERERERVVgKge8BVSVWQImIiIiIiEglWAElIiIiIqIKi5MQqRYroERERERERKQSrIB+Ytq0aYP69etjxYoV6u4KEREREdFHT6HgM6CqVGYVUF9fX3Tv3r2sDgcA2LZtGzQ0NDBmzJgyO6adnV2pkrPo6GhIJBKkpaUpfS5czM3N0atXL9y+fbvE8Qv3lclksLOzQ9++fXHixIn3OJvyN2vWLNSvX/+N2+fPnw8NDQ0sXrxYdZ0iIiIiIqL/pI96CG5wcDCmTJmCbdu2IScnR93dUZKQkIAHDx5g165duHbtGry8vFBQUFCifYOCgpCSkoKEhARs3rwZcrkc7du3x9y5c8u512Vv06ZNmDJlCjZt2qTurhARERER0UeuXBLQNm3awN/fH1OmTIGpqSksLCwwa9YscbsgCJg1axZsbW2ho6MDKysr+Pv7Kx0jOTkZZ86cwdSpU+Hg4IC9e/cqbQ8NDYVcLscvv/wCR0dH6OnpoXfv3sjKykJYWBjs7OxgYmICf39/MTFs06YN7t69iwkTJohVyPdVpUoVWFpaolWrVpgxYwauX7+OW7dulWhfQ0NDWFhYwNbWFq1atcJPP/2E6dOnY8aMGUhISBDb/fnnn+jUqRMMDAxgbm6OQYMG4fHjx+L2zMxMDB48GAYGBrC0tMTSpUuLxJJIJNi/f7/SOrlcjtDQUPHzX3/9hf79+8PU1BT6+vpo3Lgxzp07h9DQUMyePRtxcXHi9Xp1v5MnTyI7OxtBQUFIT0/HmTNnALwcxmBtbY21a9cqxb18+TKkUinu3r0LALhx4wZatmwJXV1d1K5dG8eOHSu2v0RERERE5UWhENS2VETlVgENCwuDvr4+zp07h0WLFiEoKAiRkZEAgD179mD58uVYv349EhMTsX//ftSrV09p/5CQEHTp0gXGxsYYOHAggoODi8TIysrCqlWrsH37dhw5cgTR0dHo0aMHDh06hEOHDmHLli1Yv349du/eDQDYu3cvrK2txQpkSkpKmZyrTCYDALx48eK9jzFu3DgIgoADBw4AANLS0tC2bVs0aNAAFy9exJEjR/Do0SP07dtX3Gfy5Mk4efIkDhw4gKNHjyI6Ohp//PFHqeJmZGSgdevW+PvvvxEREYG4uDhMmTIFCoUC/fr1w8SJE1GnTh3xevXr10/cNzg4GP3794eWlhb69+8vfo2kUin69++PrVu3KsUKDw9HixYtUK1aNRQUFKB79+7Q09PDuXPn8NNPP+G7775738tHRERERET/AeU2CZGLiwtmzpwJAKhVqxZWr16N48ePo0OHDrh37x4sLCzQvn17aGlpwdbWFk2aNBH3VSgUCA0NxQ8//AAA8Pb2xsSJE5GcnIzq1auL7fLy8rB27VrUrFkTANC7d29s2bIFjx49goGBAWrXro3PPvsMUVFR6NevH0xNTaGhoSFWIMtCSkoKlixZgqpVq8LR0fG9j2NqaooqVargzp07AIDVq1ejQYMGmDdvnthm06ZNsLGxwc2bN2FlZYXg4GD8/PPPaNeuHYCXSb+1tXWp4m7duhX//PMPLly4AFNTUwCAvb29uN3AwACamppFrld6ejp2796Ns2fPAgAGDhwIDw8PrFy5EgYGBvDx8cHSpUtx79492NraQqFQYPv27Zg2bRoAIDIyEklJSYiOjhaPPXfuXHTo0OGt/c3NzUVubq7SuoLcXOjo6JTqvImIiIiIAL6GRdXKrQLq4uKi9NnS0hKpqakAgD59+iA7Oxs1atSAn58f9u3bh/z8fLFtZGQkMjMz0blzZwBApUqV0KFDhyLPGerp6YnJJwCYm5vDzs4OBgYGSusK45Yla2tr6Ovrw8rKCpmZmdizZw+0tbU/6JiCIIjDguPi4hAVFQUDAwNxcXJyAgAkJSUhKSkJL168gLu7u7i/qalpqZPg2NhYNGjQQEw+S2rbtm2oWbMmXF1dAQD169dHtWrVsGPHDvGzs7OzWAU9efIkUlNT0adPHwAvn6G1sbFRSmxfvQnxJvPnz4exsbHSsmTZj6XqOxERERERqUe5JaBaWlpKnyUSiTjFsY2NDRISEvDjjz9CJpNh9OjRaNWqFfLy8gC8HNr59OlTyGQyaGpqQlNTE4cOHUJYWJjSNMnFxXhb3LL022+/4cqVK0hPT0dsbKxSIvg+njx5gn/++Ues8GZkZMDLywuxsbFKS2JiIlq1alXi40okEgiC8l2dwusM/N/w4dIKDg7GtWvXxK+PpqYmrl+/rnSTwMfHR0xAt27dCk9PT5iZmb1XvEKBgYF49uyZ0jLpm9EfdEwiIiIiIlINtb0HVCaTwcvLC15eXhgzZgycnJxw9epVVKtWDQcOHMD27dtRp04dsX1BQQFatmyJo0ePwtPT873jamtrl3i22repXr065HL5Bx+n0MqVKyGVSsVX2TRs2BB79uyBnZ0dNDWLfplq1qwJLS0tnDt3Dra2tgCAf//9Fzdv3kTr1q3FdpUrV1Z61jUxMRFZWVniZxcXF2zcuBFPnz4ttgpa3PW6evUqLl68iOjoaKV9nj59ijZt2uDGjRtwcnLCgAEDMG3aNFy6dAm7d+/GunXrxLaOjo64f/8+Hj16BHNzcwDAhQsX3nmddHR0igy3zRL+fed+RERERETF4XtAVUstCWhoaCgKCgrg7u4OPT09/Pzzz5DJZKhWrRq2bNkCMzMz9O3bt8gstZ07d0ZwcPAHJaB2dnY4deoUvL29oaOjg0qVKn3o6ZTa8+fP8fDhQ+Tl5SE5ORk///wzNm7ciPnz54vPX44ZMwYbNmxA//79xdmEb926he3bt2Pjxo0wMDDAsGHDMHnyZJiZmaFKlSr47rvvIJUqF7Xbtm2L1atXo1mzZigoKEBAQIBSlbh///6YN28eunfvjvnz58PS0hKXL1+GlZUVmjVrBjs7OyQnJyM2NhbW1tYwNDREcHAwmjRpUmwl1s3NDcHBwVi8eDHs7OzQvHlzDBs2DAUFBfjiiy/Edh06dEDNmjUxZMgQLFq0CM+fPxefD/2Q2YmJiIiIiOjjpZb3gMrlcmzYsAEtWrSAi4sLjh07hoMHD8LMzAybNm1Cjx49ik1CevXqhYiICKVXkZRWUFAQ7ty5g5o1a6Jy5cofchrvbcaMGbC0tIS9vT0GDRqEZ8+e4fjx4wgICBDbWFlZISYmBgUFBfj8889Rr149jB8/HnK5XEwyFy9eDA8PD3h5eaF9+/Zo2bIlGjVqpBRr6dKlsLGxgYeHBwYMGIBJkyZBT09P3K6trY2jR4+iSpUq6Ny5M+rVq4cFCxZAQ0MDwMtr7unpic8++wyVK1dGWFgYfv75Z/Tq1avYc+vVqxc2b94sDvP18fFBXFwcevTooTTcV0NDA/v370dGRgbc3NwwfPhwcRZcXV3dMrjKRERERETvxtewqJZEeP0BQSI1iYmJQcuWLXHr1i2lyaXeJevZ3XLs1ZslFbzf87MfYtjOre9uVA7u//23ymN29Wiu8pgA4OPS6N2NythfGekqjwkAt549UXnMvtVrqzwmAPzvr5K9p7ksta9aQ+UxAeBhdqZa4mpLVX9Pu55h6SbQKyv/5OWoPGZ8+lOVxwQAvzVrVB4z7ffTKo8JAA/+F63ymBpqGvX1NP/9Xx34vpxMVD/qsKR2fl1NbbH7/qCev2PVSW3PgBLt27cPBgYGqFWrFm7duoVx48ahRYsWpUo+iYiIiIjov0MtQ3A/Jp06dVJ61cmry6vv4CyJ8PDwNx7r1QmV6KXnz5+LE1D5+vrCzc0NBw4cUHe3iIiIiKgC4RBc1arwFdCNGzciOzu72G2lfTfmF1988cbXsbz+ehgCBg8ejMGDB6u7G0REREREpCIVPgGtWrVqmR3L0NAQhoaGZXY8IiIiIiIqXwqBr2FRpQo/BJeIiIiIiIhUo8JXQImIiIiIqOKqqM9iqgsroERERERERKQSTECJiIiIiIhIJTgEl4iIiIiIKiyFgpMQqZJEEAQOeqb/tKzn/6gnsEQN92+k2qqPCQAFGSoPeS9fQ+UxAUBbovqBIal5OSqPCQA5Bfkqj1lbX67ymACQoYZzNdJUz+u37udmqSWuOtTQ1VdL3PT8PJXHVNefx5oSicpjSqH6mABg1aWNymNKajqoPCYAZKz5SeUx9fSNVR6zpDaPsFRb7ME/pagttrqwAkpERERERBUWJyFSLT4DSkRERERERCrBBJSIiIiIiIhUgkNwiYiIiIiowuIQXNViBZSIiIiIiIhUghVQIiIiIiKqsPgaFtViBZSIiIiIiOgT8vTpU/j4+MDIyAhyuRzDhg1DRsabX6t3584dSCSSYpddu3aJ7Yrbvn379lL1jQnoJ8bX1xfdu3f/oGNER0dDIpEgLS2tTPpERERERPSxUigEtS3lxcfHB9euXUNkZCR++eUXnDp1CiNGjHhjexsbG6SkpCgts2fPhoGBATp16qTUNiQkRKldaXOPMktAyyLxed22bdugoaGBMWPGlNkx7ezssGLFilLtU1BQgOXLl6NevXrQ1dWFiYkJOnXqhJiYGKV2oaGh4p0AqVQKa2trDB06FKmpqSWK8+qdBCMjI7i5ueHAgQOl6uvKlSsRGhpaqn0+lJOTE3R0dPDw4UOVxiUiIiIiImXx8fE4cuQINm7cCHd3d7Rs2RI//PADtm/fjgcPHhS7j4aGBiwsLJSWffv2oW/fvjAwMFBqK5fLldrp6uqWqn8fdQU0ODgYU6ZMwbZt25CTk6OWPgiCAG9vbwQFBWHcuHGIj49HdHQ0bGxs0KZNG+zfv1+pvZGREVJSUvDXX39hw4YNOHz4MAYNGlTieIV3FC5evIgWLVqgd+/euHr1aon3NzY2hlwuL3H7D3X69GlkZ2ejd+/eCAsLU1lcIiIiIqL/utzcXKSnpystubm5H3TMs2fPQi6Xo3HjxuK69u3bQyqV4ty5cyU6xqVLlxAbG4thw4YV2TZmzBhUqlQJTZo0waZNmyAIpavklksC2qZNG/j7+2PKlCkwNTWFhYUFZs2aJW4XBAGzZs2Cra0tdHR0YGVlBX9/f6VjJCcn48yZM5g6dSocHBywd+9epe2hoaGQy+X45Zdf4OjoCD09PfTu3RtZWVkICwuDnZ0dTExM4O/vj4KCArFfd+/exYQJE8RK47vs3LkTu3fvxubNmzF8+HBUr14drq6u+Omnn/DFF19g+PDhyMzMFNtLJBJYWFjAysoKnTp1gr+/P44dO4bs7OwSXbvCOwoODg6YM2cO8vPzERUVJW6/f/8++vbtC7lcDlNTU3Tr1g137twRt79eiW7Tpg2+/vprjB8/HiYmJjA3N8eGDRuQmZmJoUOHwtDQEPb29jh8+HCRvsTExMDFxQW6urpo2rQp/vzzzyJtgoODMWDAAAwaNAibNm0S1x89ehS6urpFhvGOGzcObdu2FT9v2LABNjY20NPTQ48ePbBs2TKVJtBEREREVLGpcwju/PnzYWxsrLTMnz//g87n4cOHqFKlitI6TU1NmJqalnjEYnBwMJydndG8eXOl9UFBQdi5cyciIyPRq1cvjB49Gj/88EOp+lduFdCwsDDo6+vj3LlzWLRoEYKCghAZGQkA2LNnD5YvX47169cjMTER+/fvR7169ZT2DwkJQZcuXWBsbIyBAwciODi4SIysrCysWrUK27dvx5EjRxAdHY0ePXrg0KFDOHToELZs2YL169dj9+7dAIC9e/fC2toaQUFB4pjld9m6dSscHBzg5eVVZNvEiRPx5MkT8byKI5PJoFAokJ+f/85Yr8rPzxfPWVtbGwCQl5eHjh07wtDQEL/99htiYmJgYGAAT09PvHjx4o3HCgsLQ6VKlXD+/Hl8/fXXGDVqFPr06YPmzZvjjz/+wOeff45BgwYhKytLab/Jkydj6dKluHDhAipXrgwvLy/k5eWJ258/f45du3Zh4MCB6NChA549e4bffvsNANCuXTvI5XLs2bNHbF9QUIAdO3bAx8cHwMsE96uvvsK4ceMQGxuLDh06YO7cuaW6TkRERERE/1WBgYF49uyZ0hIYGFhs26lTp75xoqDC5caNGx/cp+zsbGzdurXY6uf06dPRokULNGjQAAEBAZgyZQoWL15cquOX22tYXFxcMHPmTABArVq1sHr1ahw/fhwdOnTAvXv3YGFhgfbt20NLSwu2trZo0qSJuK9CoUBoaKiYTXt7e2PixIlITk5G9erVxXZ5eXlYu3YtatasCQDo3bs3tmzZgkePHsHAwAC1a9fGZ599hqioKPTr1w+mpqbQ0NCAoaEhLCwsSnQeN2/ehLOzc7HbCtffvHmz2O2JiYlYt24dGjduDENDwxLF69+/PzQ0NJCdnQ2FQgE7Ozv07dsXALBjxw4oFAps3LhRrN6GhIRALpcjOjoan3/+ebHHdHV1xbRp0wC8/CZfsGABKlWqBD8/PwDAjBkzsHbtWly5cgVNmzYV95s5cyY6dOgA4GUSa21tLY4FB4Dt27ejVq1aqFOnDoCXX6fg4GB4eHhAQ0MD3t7eSt+8x48fR1paGnr16gUA+OGHH9CpUydMmjQJAODg4IAzZ87gl19+eeP1yc3NLTIsoeBFLnR0dEp0fYmIiIiIXqXO17Do6OiU+O/YiRMnwtfX961tatSoAQsLiyJz0OTn5+Pp06clyoF2796NrKwsDB48+J1t3d3dMWfOHOTmlvzv8XKrgLq4uCh9trS0FC9Enz59kJ2djRo1asDPzw/79u1TqhBGRkYiMzMTnTt3BgBUqlQJHTp0UBriCQB6enpi8gkA5ubmsLOzU3pQ1tzcvMSTAL1JacY1P3v2DAYGBtDT04OjoyPMzc0RHh5e4v2XL1+O2NhYHD58GLVr18bGjRthamoKAIiLi8OtW7dgaGgIAwMDGBgYwNTUFDk5OUhKSnrjMV/9WmhoaMDMzEyp4mxubg4ARa5Ts2bNxH+bmprC0dER8fHx4rpNmzZh4MCB4ueBAwdi165deP78OYCXs29FR0eLDzuHh4ejS5cu4hDbhIQEpRsPAIp8fl1xwxSWLF351n2IiIiIiP7rKleuDCcnp7cu2traaNasGdLS0nDp0iVx3xMnTkChUMDd3f2dcYKDg/HFF1+gcuXK72wbGxsLExOTUhWDyq0CqqWlpfRZIpGIdxdsbGyQkJCAY8eOITIyEqNHj8bixYtx8uRJaGlpITg4GE+fPoVMJhP3VygUuHLlCmbPng2pVPrGGG+L+z4cHByUkq5XFa53cHAQ1xkaGuKPP/6AVCqFpaWl0jmUhIWFBezt7WFvb4+QkBB07twZ169fR5UqVZCRkYFGjRoVm9C+7RvkXdepsJpamut0/fp1/P777zh//jwCAgLE9QUFBdi+fTv8/Pzg5uaGmjVrYvv27Rg1ahT27dv3wTP0BgYG4ptvvlFaV/Ai/YOOSURERET0qXB2doanpyf8/Pywbt065OXlYezYsfD29oaVlRUA4O+//0a7du2wefNmpQLQrVu3cOrUKRw6dKjIcQ8ePIhHjx6hadOm0NXVRWRkJObNmyeOZiypcktA30Umk8HLywteXl4YM2YMnJyccPXqVVSrVg0HDhzA9u3bxaGdwMvEpmXLljh69Cg8PT3fO662trY4KVFJeHt7Y8CAATh48GCR50CXLl0KMzMzcZgqAEilUtjb2793/17VpEkTNGrUCHPnzsXKlSvRsGFD7NixA1WqVIGRkVGZxHib33//Hba2tgCAf//9V2k4cnBwMFq1aoU1a9Yo7RMSEoLg4GBxeK+Pjw/Cw8NhbW0NqVSKLl26iG0dHR1x4cIFpf1f//y64oYpZD3/sJnCiIiIiKjiUpRyFtf/gvDwcIwdOxbt2rWDVCpFr169sGrVKnF7Xl4eEhISiswBs2nTJlhbWxf7aJ+WlhbWrFmDCRMmQBAE2NvbY9myZeLf/SWllgQ0NDQUBQUFcHd3h56eHn7++WfIZDJUq1YNW7ZsgZmZGfr27VtkltrOnTsjODj4gxJQOzs7nDp1Ct7e3tDR0UGlSpXe2t7b2xu7du3CkCFDsHjxYrRr1w7p6elYs2YNIiIisGvXLujr6793f95l/Pjx6NGjB6ZMmQIfHx8sXrwY3bp1Q1BQEKytrXH37l3s3bsXU6ZMgbW1dZnGDgoKgpmZGczNzfHdd9+hUqVK6N69O/Ly8rBlyxYEBQWhbt26SvsMHz4cy5Ytw7Vr11CnTh34+Phg1qxZmDt3Lnr37q2UPH799ddo1aoVli1bBi8vL5w4cQKHDx8u0ezERERERERUPFNTU2zduvWN2+3s7Ip9zHDevHmYN29esft4enp+UB5WSC3vAZXL5diwYQNatGgBFxcXHDt2DAcPHoSZmRk2bdqEHj16FJuE9OrVCxEREXj8+PF7xw4KCsKdO3dQs2bNEo1rlkgk2LlzJ7799lssX74cjo6O8PDwwN27dxEdHa30ypPy4OnpierVq2Pu3LnQ09PDqVOnYGtri549e8LZ2RnDhg1DTk5OuVREFyxYgHHjxqFRo0Z4+PAhDh48CG1tbURERODJkyfo0aNHkX2cnZ3h7OwszuBrb2+PJk2a4MqVK+Lst4VatGiBdevWYdmyZXB1dcWRI0cwYcKEUr/MloiIiIjofSkUCrUtFZFEKO2bQ4nKkZ+fH27cuCG+zqUksp7/U449eguJGgYQSLVVHxMACjJUHvJevobKYwKAtkT19+VS83JUHhMAcgpK93qoslBbX67ymACQoYZzNdLUenejcnA/N+vdjT4RNXTLbwTS26Tn5727URlT15+pmmoYlSSFekZCWXVpo/KYkpoO725UDjLW/KTymHr6xiqPWVKr+pX/o21v4r+j4s1lorZnQIkAYMmSJejQoQP09fVx+PBhhIWF4ccff1R3t4iIiIioglAoWI9TJbUMwf2YdOrUSXylyevLm8Y/v4958+a9MU6nTp3KLM5/zfnz59GhQwfUq1cP69atw6pVqzB8+HB1d4uIiIiIiMpBha+Abty4EdnZ2cVuK3z/Zln46quv0Ldv32K3lfZVLZ+SnTt3qrsLRERERESkIhU+Aa1atapK4piampZpQktERERERB+OQ3BVq8IPwSUiIiIiIiLVqPAVUCIiIiIiqrhYAVUtVkCJiIiIiIhIJZiAEhERERERkUpwCC4REREREVVYHIGrWkxAid6bQg0hc1QfEwCEfJWH1JSo59eThkSilrgVRa6iQC1xFVD9XxcVbYiRphp+dqRQz8+rTEP1v5+yC1T/exgAdKQaKo+pENSTDUhqOqg8ppB0U+UxXwZWz/cTEcAElIiIiIiIKjBWQFWrot2gJSIiIiIiIjVhBZSIiIiIiCqsApZAVYoVUCIiIiIiIlIJJqBERERERESkEhyCS0REREREFRZH4KoWK6BERERERESkEqyAEhERERFRhcUKqGqxAvqJsbOzw4oVK9TdDSIiIiIioiJKlYD6+vqie/fuZdqBbdu2QUNDA2PGjCmzY75PElZQUIDly5ejXr160NXVhYmJCTp16oSYmBildqGhoZBIJJBIJJBKpbC2tsbQoUORmppaojiF+0okEujr66NWrVrw9fXFpUuXStVfVXnX13zkyJHQ0NDArl27VNcpIiIiIiL6T1J7BTQ4OBhTpkzBtm3bkJOTo5Y+CIIAb29vBAUFYdy4cYiPj0d0dDRsbGzQpk0b7N+/X6m9kZERUlJS8Ndff2HDhg04fPgwBg0aVOJ4ISEhSElJwbVr17BmzRpkZGTA3d0dmzdvLuMzK19ZWVnYvn07pkyZgk2bNqm7O0REREREpaYQ1LdURO+dgLZp0wb+/v6YMmUKTE1NYWFhgVmzZonbBUHArFmzYGtrCx0dHVhZWcHf31/pGMnJyThz5gymTp0KBwcH7N27V2l7aGgo5HI5fvnlFzg6OkJPTw+9e/dGVlYWwsLCYGdnBxMTE/j7+6OgoEDs1927dzFhwgSx0vguO3fuxO7du7F582YMHz4c1atXh6urK3766Sd88cUXGD58ODIzM8X2EokEFhYWsLKyQqdOneDv749jx44hOzu7RNdOLpfDwsICdnZ2+Pzzz7F79274+Phg7Nix+Pfff8V2p0+fhoeHB2QyGWxsbODv76/Uj9TUVHh5eUEmk6F69eoIDw9XinPnzh1IJBLExsaK69LS0iCRSBAdHS2uu3btGrp27QojIyMYGhrCw8MDSUlJmDVrFsLCwnDgwAHxWr66365du1C7dm1MnToVp06dwv379wEA6enpkMlkOHz4sFJ/9u3bB0NDQ2RlZQEAzpw5g/r160NXVxeNGzfG/v37i/SXiIiIiIg+HR9UAQ0LC4O+vj7OnTuHRYsWISgoCJGRkQCAPXv2YPny5Vi/fj0SExOxf/9+1KtXT2n/kJAQdOnSBcbGxhg4cCCCg4OLxMjKysKqVauwfft2HDlyBNHR0ejRowcOHTqEQ4cOYcuWLVi/fj12794NANi7dy+sra0RFBSElJQUpKSkvPM8tm7dCgcHB3h5eRXZNnHiRDx58kQ8r+LIZDIoFArk5+e/M9abTJgwAc+fPxfjJCUlwdPTE7169cKVK1ewY8cOnD59GmPHjhX38fX1xf379xEVFYXdu3fjxx9/LPFQ4EJ///03WrVqBR0dHZw4cQKXLl3Cl19+ifz8fEyaNAl9+/aFp6eneC2bN28u7hscHIyBAwfC2NgYnTp1QmhoKICXFeKuXbti69atSrHCw8PRvXt36OnpIT09HV5eXqhXrx7++OMPzJkzBwEBAe959YiIiIiI3o9Cob6lIvqgWXBdXFwwc+ZMAECtWrWwevVqHD9+HB06dMC9e/dgYWGB9u3bQ0tLC7a2tmjSpIm4r0KhQGhoKH744QcAgLe3NyZOnIjk5GRUr15dbJeXl4e1a9eiZs2aAIDevXtjy5YtePToEQwMDFC7dm189tlniIqKQr9+/WBqagoNDQ0YGhrCwsKiROdx8+ZNODs7F7utcP3NmzeL3Z6YmIh169ahcePGMDQ0LFG84jg5OQF4WbUEgPnz58PHxwfjx48H8PL6rlq1Cq1bt8batWtx7949HD58GOfPn4ebmxuAlwnhm87jTdasWQNjY2Ns374dWlpaAAAHBwdxu0wmQ25ubpFrmZiYiN9//12sWg8cOBDffPMNpk2bBolEAh8fHwwaNAhZWVliwvm///0P+/btA/Ay6ZdIJNiwYQN0dXVRu3Zt/P333/Dz83trf3Nzc5Gbm6u0ruBFLnR0dEp13kREREREpHofVAF1cXFR+mxpaSlW4Pr06YPs7GzUqFEDfn5+2Ldvn1KFMDIyEpmZmejcuTMAoFKlSujQoUORZwn19PTE5BMAzM3NYWdnBwMDA6V1pa38vU4QSj4I+9mzZzAwMICenh4cHR1hbm5eZPjr+8YvHDIcFxeH0NBQGBgYiEvHjh2hUCiQnJyM+Ph4aGpqolGjRuIxnJycIJfLSxU3NjYWHh4eYvJZUps2bULHjh1RqVIlAEDnzp3x7NkznDhxQvyspaWFiIgIAC8r4kZGRmjfvj0AICEhAS4uLtDV1RWP+eoNijeZP38+jI2NlZYlS1eWqu9ERERERIUKBEFtS0X0QRXQ15MWiUQCxf+vJdvY2CAhIQHHjh1DZGQkRo8ejcWLF+PkyZPQ0tJCcHAwnj59CplMJu6vUChw5coVzJ49G1Kp9I0x3hb3fTg4OCA+Pr7YbYXrX60KGhoa4o8//oBUKoWlpaXSObyvwjiF1d+MjAyMHDmyyHOzAGBra/vGiuyrCq/hq8l1Xl6eUpv36XtBQQHCwsLw8OFDaGpqKq3ftGkT2rVrB21tbfTu3Rtbt26Ft7c3tm7din79+im1fx+BgYH45ptvlPvzIv2DjklERERERKrxYdnAO8hkMnh5ecHLywtjxoyBk5MTrl69imrVquHAgQPYvn076tSpI7YvKChAy5YtcfToUXh6er53XG1tbXFSopLw9vbGgAEDcPDgwSLPgS5duhRmZmbo0KGDuE4qlcLe3v69+1ecFStWKFUIGzZsiOvXr78xjpOTE/Lz83Hp0iVxCG5CQgLS0tLENpUrVwYApKSkoEGDBgBQZIIfFxcXhIWFIS8vr9gqaHHX8tChQ3j+/DkuX74MDQ0Ncf2ff/6JoUOHIi0tDXK5HD4+PujQoQOuXbuGEydO4PvvvxfbOjo64ueff0Zu7v8Nn71w4cI7r5OOjk6R4bZZz3Pf0JqIiIiIiD4m5fYaltDQUAQHB+PPP//E7du38fPPP0Mmk6FatWrYsmULzMzM0LdvX9StW1dcXF1d0blz52InIyoNOzs7nDp1Cn///TceP378zvbe3t7o0aMHhgwZguDgYNy5cwdXrlzByJEjERERgY0bN0JfX/+D+vSqtLQ0PHz4EHfv3kVkZKRYKVy7dq04hDYgIABnzpzB2LFjERsbi8TERBw4cECchMjR0RGenp4YOXIkzp07h0uXLmH48OFKFU2ZTIamTZtiwYIFiI+Px8mTJzFt2jSlvowdOxbp6enw9vbGxYsXkZiYiC1btiAhIQHAy2t55coVJCQk4PHjx8jLy0NwcDC6dOkCV1dXpa9f3759IZfLxeHIrVq1goWFBXx8fFC9enW4u7uLcQcMGACFQoERI0YgPj4ev/76K5YsWQIAJZq5mIiIiIioLPA1LKpVbgmoXC7Hhg0b0KJFC7i4uODYsWM4ePAgzMzMsGnTJvTo0aPYRKNXr16IiIgoUeL4JkFBQbhz5w5q1qwpVgHfRiKRYOfOnfj222+xfPlyODo6wsPDA3fv3kV0dDS6d+/+3n0pztChQ2FpaQknJyeMGjUKBgYGOH/+PAYMGCC2cXFxwcmTJ3Hz5k14eHigQYMGmDFjBqysrMQ2ISEhsLKyQuvWrdGzZ0+MGDECVapUUYq1adMm5Ofno1GjRhg/frxSFRIAzMzMcOLECWRkZKB169Zo1KgRNmzYIFZD/fz84OjoiMaNG6Ny5crYu3cv/ve//6FXr15FzksqlaJHjx7iDQSJRIL+/fsjLi4OPj4+Sm2NjIxw8OBBxMbGon79+vjuu+8wY8YMAFB6LpSIiIiIiD4dEqE0s+8QlaPw8HAMHToUz549K9WzqVnP/ynHXr2FpNzu33x8FDkqD/lAoZ4bEVpq+LqmvCjZO4TLWk7B+7866n3VlL3/bOEfIldQ/Vz3ppraKo8JAHdzs9QSV1MNo1fsdMpudFJpqOP7KVsNP68AINMo16e1iqVQ05+mFl+/fSb+8iAkvXtOj/KQefiYymPqGZipPGZJTWn/4fO5vK9Fx9TzN4A6qf63CtH/t3nzZtSoUQNVq1ZFXFwcAgIC0Ldv3zKZ1ImIiIiIiD4+FaKE06lTJ6XXmby6zJs3r8zizJs3741xOnXqVGZxPhUPHz7EwIED4ezsjAkTJqBPnz746aef1N0tIiIiIiIqJxWiArpx40ZkZxdf3jY1NS2zOF999RX69u1b7DZW9YqaMmUKpkyZou5uEBEREVEFVlEnA1KXCpGAVq1aVSVxTE1NyzShJSIiIiIi+pRUiASUiIiIiIioOKyAqlaFeAaUiIiIiIiI1I8VUCIiIiIiqrAK+FZKlWIFlIiIiIiIiFSCFVD6zwu+d0ctcSP+uKzymHM8u6o8JgAUqOHGoJFmgeqDAqikraPymPoy9fwqzlMoVB7TSFNL5TEBIFuh+u8nKSQqjwkA1XT01BJXXeerDppqOFd9DfX8nkjNy1VLXHXIWKOGV8EJ+aqPCUC/U3uVxxR+U/3fTfRxYgJKREREREQVlhrux1ZoHIJLREREREREKsEKKBERERERVVh8DYtqsQJKREREREREKsEElIiIiIiIiFSCQ3CJiIiIiKjC4hBc1WIFlIiIiIiIiFSCFVAiIiIiIqqw+BoW1WIF9D/uzp07kEgkiI2NLfE+vr6+6N69e7n16UN8zH0jIiIiIqIPwwS0GL6+vpBIJJBIJNDW1oa9vT2CgoKQn5//zn1DQ0Mhl8vLrV+vJ2c2NjZISUlB3bp1P+i4hef76nLr1q0P7DEREREREdH/4RDcN/D09ERISAhyc3Nx6NAhjBkzBlpaWggMDFR315RoaGjAwsLig49TeL6vqly5cpF2L168gLa29gfHIyIiIiL6GBQInIVIlVgBfQMdHR1YWFigWrVqGDVqFNq3b4+IiAj8+++/GDx4MExMTKCnp4dOnTohMTERABAdHY2hQ4fi2bNnYhVx1qxZAIDc3FxMmjQJVatWhb6+Ptzd3REdHS3GK6yc/vrrr3B2doaBgQE8PT2RkpICAJg1axbCwsJw4MAB8djR0dFFhuAWFBRg2LBhqF69OmQyGRwdHbFy5coSn++ri4aGBtq0aYOxY8di/PjxqFSpEjp27AgAWLZsGerVqwd9fX3Y2Nhg9OjRyMjIEI83a9Ys1K9fXynGihUrYGdnJ34uKCjAN998A7lcDjMzM0yZMgUCfwEQEREREX2ymICWkEwmw4sXL+Dr64uLFy8iIiICZ8+ehSAI6Ny5M/Ly8tC8eXOsWLECRkZGSElJQUpKCiZNmgQAGDt2LM6ePYvt27fjypUr6NOnDzw9PcXkFQCysrKwZMkSbNmyBadOncK9e/fE/SdNmoS+ffuKSWlKSgqaN29epJ8KhQLW1tbYtWsXrl+/jhkzZuDbb7/Fzp073/vcw8LCoK2tjZiYGKxbtw4AIJVKsWrVKly7dg1hYWE4ceIEpkyZUqrjLl26FKGhodi0aRNOnz6Np0+fYt++fe/dTyIiIiKi0lII6lsqIg7BfQdBEHD8+HH8+uuv6NSpE/bv34+YmBgx+QsPD4eNjQ3279+PPn36wNjYGBKJRGlY7L179xASEoJ79+7BysoKwMuE8siRIwgJCcG8efMAAHl5eVi3bh1q1qwJ4GXSGhQUBAAwMDCATCZDbm7uW4fcamlpYfbs2eLn6tWr4+zZs9i5cyf69u37xv1++eUXGBgYiJ87deqEXbt2AQBq1aqFRYsWKbUfP368+G87Ozt8//33+Oqrr/Djjz+++WK+ZsWKFQgMDETPnj0BAOvWrcOvv/761n1yc3ORm5urtC7vxQtocVgwEREREdFHjwnoGxQmZHl5eVAoFBgwYAB69uyJX375Be7u7mI7MzMzODo6Ij4+/o3Hunr1KgoKCuDg4KC0Pjc3F2ZmZuJnPT09MfkEAEtLS6Smppa672vWrMGmTZtw7949ZGdn48WLF0WGw77us88+w9q1a8XP+vr64r8bNWpUpP2xY8cwf/583LhxA+np6cjPz0dOTg6ysrKgp6f3zj4+e/YMKSkpStdSU1MTjRs3fusw3Pnz5ysl2ADgOWo4Oo8Z8c6YRERERESv42tYVIsJ6BsUJmTa2tqwsrKCpqYmIiIi3utYGRkZ0NDQwKVLl6ChoaG07dWqo5aWltI2iURS6mcit2/fjkmTJmHp0qVo1qwZDA0NsXjxYpw7d+6t++nr68Pe3v6N2151584ddO3aFaNGjcLcuXNhamqK06dPY9iwYXjx4gX09PQglUqL9D0vL69U51KcwMBAfPPNN0rrNiZd/eDjEhERERFR+WMC+gbFJWTOzs7Iz8/HuXPnxCG4T548QUJCAmrXrg0A0NbWRkFBgdJ+DRo0QEFBAVJTU+Hh4fHefSru2K8rHB48evRocV1SUtJ7xyzOpUuXoFAosHTpUkilLx8jfv0Z08qVK+Phw4cQBAESiQQAlN5VamxsDEtLS5w7dw6tWrUCAOTn5+PSpUto2LDhG2Pr6OhAR0dHaR2H3xIRERER/TdwEqJSqFWrFrp16wY/Pz+cPn0acXFxGDhwIKpWrYpu3boBePk8ZEZGBo4fP47Hjx8jKysLDg4O8PHxweDBg7F3714kJyfj/PnzmD9/Pv73v/+VOL6dnR2uXLmChIQEPH78uNiKYq1atXDx4kX8+uuvuHnzJqZPn44LFy6U2TUAAHt7e+Tl5eGHH37A7du3sWXLFnFyokJt2rTBP//8g0WLFiEpKQlr1qzB4cOHldqMGzcOCxYswP79+3Hjxg2MHj0aaWlpZdpXIiIiIqK34SREqsUEtJRCQkLQqFEjdO3aFc2aNYMgCDh06JA4fLZ58+b46quv0K9fP1SuXFmcvCckJASDBw/GxIkT4ejoiO7du+PChQuwtbUtcWw/Pz84OjqicePGqFy5MmJiYoq0GTlyJHr27Il+/frB3d0dT548UaqGlgVXV1csW7YMCxcuRN26dREeHo758+crtXF2dsaPP/6INWvWwNXVFefPnxdn9C00ceJEDBo0CEOGDBGHC/fo0aNM+0pERERERB8PicAXL9J/3A/XyrbCW1IRf1xWecw5nl1VHhNQzwuajTS13t2oHNhov3sSrbKWD/X8Gs5Tw6wL6vq6Zive/vhCedCEROUxAUChpu8nqRrOV0Oinmusjt+J6vq6publvrvRJ8JWWw2/n4R81ccEoN+pvcpjCr+p/u+mkhropvPuRuXk5wsV52esECugREREREREpBJMQImIiIiIiEglOAsuERERERFVWOoYVl+RsQJKREREREREKsEKKBERERERVVhqmJOvQmMFlIiIiIiI6BMyd+5cNG/eHHp6epDL5SXaRxAEzJgxA5aWlpDJZGjfvj0SExOV2jx9+hQ+Pj4wMjKCXC7HsGHDkJGRUaq+MQElIiIiIqIKSyGobykvL168QJ8+fTBq1KgS77No0SKsWrUK69atw7lz56Cvr4+OHTsiJydHbOPj44Nr164hMjISv/zyC06dOoURI0aUqm8cgktERERERPQJmT17NgAgNDS0RO0FQcCKFSswbdo0dOvWDQCwefNmmJubY//+/fD29kZ8fDyOHDmCCxcuoHHjxgCAH374AZ07d8aSJUtgZWVVolisgBIREREREalBbm4u0tPTlZbc3FyV9yM5ORkPHz5E+/btxXXGxsZwd3fH2bNnAQBnz56FXC4Xk08AaN++PaRSKc6dO1fyYAJRBZWTkyPMnDlTyMnJ+eTj8lw/zbg8108zLs/104zLc/004/Jc6UPNnDlTAKC0zJw5s8yOHxISIhgbG7+zXUxMjABAePDggdL6Pn36CH379hUEQRDmzp0rODg4FNm3cuXKwo8//ljiPkkEgS++oYopPT0dxsbGePbsGYyMjD7puDzXTzMuz/XTjMtz/TTj8lw/zbg8V/pQubm5RSqeOjo60NHRKdJ26tSpWLhw4VuPFx8fDycnJ/FzaGgoxo8fj7S0tLfud+bMGbRo0QIPHjyApaWluL5v376QSCTYsWMH5s2bh7CwMCQkJCjtW6VKFcyePbvEz5vyGVAiIiIiIiI1eFOyWZyJEyfC19f3rW1q1KjxXv2wsLAAADx69EgpAX306BHq168vtklNTVXaLz8/H0+fPhX3LwkmoERERERERB+5ypUro3LlyuVy7OrVq8PCwgLHjx8XE8709HScO3dOrGw2a9YMaWlpuHTpEho1agQAOHHiBBQKBdzd3Usci5MQERERERERfULu3buH2NhY3Lt3DwUFBYiNjUVsbKzSOzudnJywb98+AIBEIsH48ePx/fffIyIiAlevXsXgwYNhZWWF7t27AwCcnZ3h6ekJPz8/nD9/HjExMRg7diy8vb1LPAMuwAooVWA6OjqYOXNmiYc9/Jfj8lw/zbg8108zLs/104zLc/004/Jc6WM1Y8YMhIWFiZ8bNGgAAIiKikKbNm0AAAkJCXj27JnYZsqUKcjMzMSIESOQlpaGli1b4siRI9DV1RXbhIeHY+zYsWjXrh2kUil69eqFVatWlapvnISIiIiIiIiIVIJDcImIiIiIiEglmIASERERERGRSjABJSIiIiIiIpVgAkpEREREREQqwQSUiIg+OoIg4N69e8jJyVF3V4iIiKgMMQGlCiUoKAhZWVlF1mdnZyMoKEgNPfr05Ofn49ixY1i/fj2eP38OAHjw4IHSe6c+BadOnUJqamqR9Xl5eTh16lSZx1MoFGV+zNJ4/PgxLl68iEuXLuHJkyflHk8QBNjb2+P+/fvlHut1ubm5yMzMVFm8vLw8aGpq4s8//1RZzNddvHgRW7ZswZYtW3Dx4kW19YOIiD59fA0LVSgaGhpISUlBlSpVlNY/efIEVapUQUFBQZnEKc37kPz9/csk5ut69OgBiURSZL1EIoGuri7s7e0xYMAAODo6llnMu3fvwtPTE/fu3UNubi5u3ryJGjVqYNy4ccjNzcW6devKLNar0tPTi10vkUigo6MDbW3tMo8plUphbm6Offv2oWnTpuL6R48ewcrKqsy+lwq9/r07efJkBAYGwtTUtEzjvO7atWsYNWoUYmJilNa3bt0aa9euLdPvn9fVqVMHwcHBSte3PP3zzz8YPHgwjh07BoVCATc3N/z888+wt7cv99g1atTAvn374OrqWu6xXvXXX3+hf//+iImJgVwuBwCkpaWhefPm2L59O6ytrcss1pUrV0rUzsXFpcxivi4pKQkrVqxAfHw8AKB27doYN24catasWW4x//rrL0RERODevXt48eKF0rZly5aVW9zffvsN69evR1JSEnbv3o2qVatiy5YtqF69Olq2bFlucYmI3oUJKFUoUqkUjx49QuXKlZXWnzhxAv369cM///xTJnGqV69eonYSiQS3b98uk5iv8/X1xf79+yGXy9GoUSMAwB9//IG0tDR8/vnniIuLw507d3D8+HG0aNGiTGJ2794dhoaGCA4OhpmZGeLi4lCjRg1ER0fDz88PiYmJZRLndVKptNhku5C1tTV8fX0xc+ZMSKVlM/BDKpVi3Lhx+Omnn7BmzRr4+voCeJmAWlpalnnFUiqV4uHDh2ICamRkhNjYWNSoUaNM47zq4cOHqFu3LipXroyvvvoKTk5OEAQB169fx4YNG/DkyRP8+eefRW7olJWDBw9i0aJFWLt2LerWrVsuMV715Zdf4vDhw/D394euri7Wr18PS0tLREVFlXvs4OBg7N27F1u2bCn3mwqv8vT0RFpaGsLCwsSbCQkJCRg6dCiMjIxw5MiRMotV+HNa+GdH4c+sIAjieolEUuY3bwr9+uuv+OKLL1C/fn3xd15MTAzi4uJw8OBBdOjQocxjHj9+HF988QVq1KiBGzduoG7durhz5w4EQUDDhg1x4sSJMo8JAHv27MGgQYPg4+ODLVu24Pr166hRowZWr16NQ4cO4dChQ+USVx03AyMiIt4Ys/Bma0n/Ty4NExOTd97k9fX1xdChQ8ss5ptu4hTGtLW1hY6OTpnE6tmzZ4nb7t27t0xiUgUiEFUAcrlcMDExEaRSqfjvwsXIyEiQSqXC6NGj1d3NMhUQECCMGjVKKCgoENcVFBQIY8eOFQIDAwWFQiGMGDFCaNGiRZnFNDU1FW7cuCEIgiAYGBgISUlJgiAIQnJysiCTycoszuvCwsIEa2trYdq0aUJERIQQEREhTJs2TbCxsRHWr18vfP/994JcLhfmzp1bZjGlUqnw6NEjYc+ePYK+vr4wYcIEQaFQCA8fPhSkUmmZxSkkkUiER48eiZ9fvb7lZcqUKULDhg2F7OzsItuysrKEhg0bClOnTi23+HK5XNDW1hakUqmgq6ur9HNrYmJS5vGsra2FI0eOiJ9v3rwpaGhoCDk5OWUe63X169cXDAwMBB0dHcHBwUFo0KCB0lJedHV1hT/++KPI+osXL5b5z+ydO3fEJTk5WdDX1xdOnjyptP7OnTtlGvNV9evXFwICAoqsDwgIKLdr7ObmJsyYMUMQhP/7mX3+/LnwxRdfCD/++GO5xBSEl+caFhamFFcQBOGPP/4QzM3Nyy2uRCIRpFLpGxdbW1thxowZSv8vlVVMiUSitBSuk0qlQqtWrYSnT5+WWUxBEIRly5YJZmZmwsCBA4VVq1YJq1atEgYOHChUqlRJmDt3rjB8+HBBR0dH+Omnn8os5ruur46OjjB48OBif2eXlq+vr7gMGTJEMDIyEmxsbIQePXoIPXr0EGxtbQUjIyPB19e3DM6MKhpNdSfARKqwYsUKCIKAL7/8ErNnz4axsbG4TVtbG3Z2dmjWrJkae1j2goODERMTo1Txk0ql+Prrr9G8eXPMmzcPY8eOhYeHR5nFVCgUxVYv/vrrLxgaGpZZnNeFhYVh6dKl6Nu3r7jOy8sL9erVw/r163H8+HHY2tpi7ty5+Pbbb8skpvD/qzg9e/ZE9erV0a1bN1y/fh0rV64sk+N/DCIjIzF16lTo6uoW2SaTyTB58mQsWrQI8+fPL5f4K1asKJfjvsmDBw+UhsDWqlULOjo6SElJgZ2dXbnG7t69e7ke/01sbGyQl5dXZH1BQQGsrKzKNFa1atWUPkskElhbWxdZX17i4+Oxc+fOIuu//PLLcvtei4+Px7Zt2wAAmpqayM7OhoGBAYKCgtCtWzeMGjWqXOImJCSgVatWRdYbGxsjLS2tXGICQGhoKL777jv4+vqiSZMmAIDz588jLCwM06ZNwz///IMlS5ZAR0enzH4XR0ZG4rvvvsPcuXOVYk6fPh3Tpk2DsbExRo4ciUmTJiE4OLhMYgLA6dOn8f333+Orr75SWr9+/XocPXoUe/bsgYuLC1atWgU/P78yiblv3z4EBARg8uTJSue6dOlSzJw5E/n5+Zg6dSqmTZuGJUuWfFCskJAQ8d8BAQHo27cv1q1bBw0NDQAvf0eMHj0aRkZGHxSHKih1Z8BEqhQdHS28ePFC5XHv378vrFmzRggICBAmTJigtJQXuVwuHDhwoMj6AwcOCHK5XBCElxWewn+Xhb59+wp+fn6CILy863779m3h+fPnQtu2bcv1Lqmurq5w8+bNIutv3rwpVnFu375dphWd1yuSKSkpgru7u1C1atVyq4COHDlS/L7R1tYWvvzyy3L9fjI2NhYSExPfuD0xMVEwNjYu05jqJJVKhdTUVKV1hoaGwu3bt9XUo/K3f/9+oUmTJsKFCxfEdRcuXBCaNm0q7Nu3r1xjq6KK/ypra2th586dRdbv2LFDsLGxKZeY5ubmwvXr1wVBEARnZ2fxd3JsbKygr69fLjEFQRCqV68uREZGCoKgfJ3DwsIEZ2fncovbtm1bYceOHUXW79ixQ2jbtq0gCIKwefNmwdHRscxi1qlTR4iJiSmy/vTp00Lt2rUFQRCEyMjIMv8a6+vrF/v7MTExUfza3rp1S9DT0yuzmG5ubkqjNAodOXJEcHNzEwRBEPbt2yfUqFGjzGIKgiBUqlRJHN30qhs3bgimpqZlGosqBlZAqUJp3bo1FAoFbt68idTU1CLP6RV3x/hDvesZoPIyaNAgDBs2DN9++y3c3NwAABcuXMC8efMwePBgAMDJkydRp06dMou5ZMkSeHp6onbt2sjJycGAAQOQmJiISpUqiVWA8mBjY4Pg4GAsWLBAaX1wcDBsbGwAvJxoysTEpMxiDhkyBDKZTPxsYWGBkydPYsSIEeUyC26rVq2QkJAgfm7evHm5PT9c6Pnz52+9u21oaFjusxsnJSUhJCQESUlJWLlyJapUqYLDhw/D1ta2TL93gZdVbQcHB6XnujIyMtCgQQOlkQRPnz4t07ivunjxotIEOYXPb5el159dy8zMhLu7OzQ1X/5JkJ+fD01NTXz55Zdqq8yWBz8/P4wYMQK3b99G8+bNAbx8BnThwoX45ptvyiVm06ZNcfr0aTg7O6Nz586YOHEirl69ir1795br5Fp+fn4YN24cNm3aBIlEggcPHuDs2bOYNGkSpk+fXm5xz5w5U+xkcw0aNMDZs2cBAC1btsS9e/fKLGZSUlKxv6eMjIzE35G1atXC48ePyywmAJiamuLgwYOYMGGC0vqDBw+Kz3FnZmaW6eifq1evFjtioFq1arh69SoAoH79+khJSSmzmMDL3wk3btwoMuncjRs31D5DO/03MQGlCuX333/HgAEDcPfuXXEIZaHymvwiMDAQkyZNwuzZs2FoaIg9e/agSpUq8PHxgaenZ5nHK7R8+XKYm5tj0aJFePToEQDA3NwcEyZMQEBAAADg888/L9M+2NjYIC4uDjt27EBcXBwyMjIwbNgw+Pj4KCVrZW3JkiXo06cPDh8+LCbbFy9exI0bN7B7924AL5Pvfv36lVnMV4cnFdLR0UFYWFiZxXhVdHR0uRz3XZ4/f17sEFzg5YQjr/8claWTJ0+iU6dOaNGiBU6dOoW5c+eiSpUqiIuLQ3BwsPi1LSvFfU1VRZWz0ap6aPPbvG3ysLI2ffp0GBoaYunSpQgMDAQAWFlZYdasWeU2G/myZcvEmzSzZ89GRkYGduzYgVq1apXrDLhTp06FQqFAu3btkJWVhVatWkFHRweTJk3C119/XW5x1XEzsOYcTs4AAIVcSURBVFGjRpg8eTI2b94sTjD4zz//YMqUKeL/B4mJiWL8sjJ9+nSMGjUKUVFR4nDYCxcu4NChQ2ISHhkZidatW5dZTCcnJyxYsAA//fSTOKFTXl4eFixYACcnJwDA33//DXNz8zKLCQBDhw7FsGHDkJSUJJ7ruXPnsGDBgjKdZIkqDs6CSxVK/fr14eDggNmzZ8PS0rLIHz+vPhtaVgwNDREbG4uaNWvCxMQEp0+fRp06dRAXF4du3brhzp07ZR7zdYUzE5bnsxp5eXlwcnLCL7/8Amdn53KL8ybJycn46aefxCqho6MjRo4cWabP7pX0NRJA+b1KIigoCJMmTYKenp7S+uzsbCxevBgzZswos1jvml1YKOdZS5s1a4Y+ffrgm2++gaGhoTir8vnz59GzZ0/89ddfZR6zoKAAMTExcHFxERNBVVDlbLTq0qBBA6XvpytXrsDJyanIzKh//PFHufel8B3F5flsujrl5eVBS0sLL168wK1bt5CRkYHatWvDwMAAjx8/RqVKlcolbkREBPr06QMnJ6dibwZ27doVa9euRWJiYpkl4AkJCejWrRuSk5PFJPP+/fuoUaMGDhw4AAcHB+zfvx/Pnz/HoEGDyiRmoZiYGKxevVrp/53CeRbKw5kzZ/DFF19AKpWK/8dcvXoVBQUF+OWXX9C0aVNs2bIFDx8+xOTJk8ssrkKhwJIlS7By5UqxumppaYlx48Zh4sSJ4nOhRCXFBJQqFH19fcTFxankvX6FLCwsEBUVBWdnZ9SuXRsLFizAF198gbi4OLRo0aLchjB+//338PHxKZfp59+katWqOHbsmFoSUFV4/TUSr1PFqyRU9S5b4GUFsiTK8g7/qwwMDHD16lVUr15dKQG9c+cOnJyckJOTUy5xdXV1ER8fr9KfHZlMhjNnzqBBgwZK6y9dugQPDw9kZWWVex9ycnKKvKeyLG9azZ49u0TtZs6cWWYxX5efn4/o6GgkJSVhwIABMDQ0xIMHD2BkZAQDA4Nyiwu8HM79+nDF8rop2KtXL+zevbvIDaRHjx6hXbt2+PPPP8slLqCam4GvUygUOHr0KG7evCnG7NChQ5m9dutj8vz5c4SHhyuda+H3siqo4oY2ffo4BJcqFHd3d9y6dUulCai6ngHatWsXZs6cCXd3dwwcOBB9+/Ytt7vehcaMGYOFCxdi48aN4vNkqmBvb4+BAwfCx8cHtWrVKrc4ycnJ5XbskipMcF8XFxdX5u+PLK/EsqTkcjlSUlKKJIKXL19G1apVyy1u3bp1cfv2bZUmoKqcjfZVmZmZCAgIwM6dO/HkyZNi45eV8kwsS+Lu3bvw9PTEvXv3kJubiw4dOsDQ0BALFy5Ebm5usc8ufqjk5GSMHTsW0dHRSjdMyvtG1b179zB8+HClWV9TUlLQtm3bMn92+nXVq1cvt5mxi3P//n3Y2NjA09OzXB9reV379u0xcOBA9OzZU2XJWE5ODgwNDYvMvKtKTDypTKhl6iMiNdm7d69Qu3ZtISQkRLh48aIQFxentJSHpKQk8dgZGRnCyJEjhXr16gk9e/Ys13feCYIg/Pnnn0JgYKBQvXp1QUtLS+jcubMQHh4uZGZmlku87t27C4aGhoKlpaXw+eefi+8LK1zKy7Jly4TGjRsLEolEaNy4sbBixQohJSWl3OK9TUFBgXDw4MEyP64632XbqlUrISwsTMjKyiqX47/JxIkThZYtWwopKSmCoaGhkJiYKJw+fVqoUaOGMGvWrHKLe/jwYaF+/frCwYMHhQcPHgjPnj1TWsqDumajHT16tODs7Czs3r1bkMlkwqZNm4Q5c+YI1tbWws8//1wuMW/fvv3GWauTk5PLJaYgCEK3bt2EgQMHCrm5uUozw0ZFRQn29vblErN58+ZCs2bNhO3btwtRUVFCdHS00lJeUlNTBScnJ3Fm7P/X3pnH1bT9//91zknzqMksJVQyZJ6HDGXOEKkrwyVdMs+ujFfXPF/DrSSKyHC5CLcyNJhVEiqKi0ofEilSrd8f/TrfTudIrr32ptbz8TiPR2ftHvu1zu6s3X6v9/T8+XPSqFEjMmLECE57cJbFzMyMLF26VOHflxYlfT737NnDea/P8pg2bRqpUaMGUVNTI8OHDycnTpygXmVfS0uLjBkzhpw/f57q37EsJiYmpEGDBp99MRhfCwvBZVQpFIXj8BE2+T0QGRmJwMBAHDlyBB8+fJCG0XDJl4oR0C7ykpiYiICAABw8eBApKSno0aMHXFxcpFV/aZKcnAxfX1/4+fkhMzNToTfrW9i3b5+0l+3mzZt57WU7Y8YMBAYG4uPHj3B0dMSECROoeu9LyM/Px5QpU+Dn54fCwkIoKSmhsLAQo0ePhp+fH7W8o9L3idLeZpr3CT09PeTm5kor0AL/V41WQ0ND5ne5rMJbr149+Pv7o3v37tDW1sbt27fRsGFD7N+/HwcPHsSZM2c40yqhW7duGD9+PFxdXWXGDxw4AG9vb2oFt/T19REVFYXGjRvLhXRbWlpSCXPW1NTErVu35KqH8sG///6Lzp07Y9iwYfj7779hY2ODgIAAqvl6mzZtQmBgIG7duoVWrVrBxcUFI0eORI0aNahp3rlzB4GBgTh06BAyMzNhZ2cHFxcXDBw4ECoqKtR0geLQ33/++QeBgYE4fvw4JBIJhg8fDmdnZyoRJMePH0dgYCBOnz4NHR0djBw5Ei4uLmjdujXnWqUp29/606dPuHPnDkJCQjB37lwsWLCAqj6j8sEMUEaV4smTJ+Uep9EQ3dTUFDdu3IC+vr7M+Js3b2BjY0O9lUYJMTExOHDgAA4dOoRXr14hLy+PF12huHr1Ktzd3REXF0dtYyEvLw9HjhyBt7c3IiMj0aVLF4waNQoODg6cVyEEig2SgIAA9OzZk/OKjhXRPnnyJPbt24ezZ8+iYcOGGD9+PH766Scqn7U0//77L+7evSttiUIzzBr4cu4rjQfLr6meXNZw+xY0NTWRkJCAevXqoU6dOjh27Bjatm2LlJQUWFtbU8lRL23oliY5ORmtW7fGmzdvONcEio38yMhIWFpayhigERERGDZsmLRaOJf06NEDixcvRq9evTg/d0VITExEly5d0Lt3b+zfv5+3qsNCbAYSQnDx4kUEBgbi6NGjKCoqwtChQ+Hr60tNszQfPnzAqVOn8Ntvv0kLA9Hi3bt3CA4OxsGDBxEWFgZTU1O4uLhwWoSuIuzYsQM3b94UtII44wdFOOcrg1E1EIlEJCMjQ248PT2dKCsrU9V+/PgxWbVqFbG0tCQSiYT07NmTeHt7kzdv3lDVFZJr166R6dOnkxo1ahB1dXUycuRIzjWuX79OJk2aRLS1tUnLli3J+vXriUQiIffu3eNcqyxqamrUQ7e/REZGBlm5ciVRVVUl1apVI4MHDyahoaGCzolLnjx5QoqKiuTGi4qKyJMnTwSYET2sra2loaC2trZk9uzZhBBCtmzZQmrXrk1FU1tbm9y+fVtu/ObNm0RTU5OKJiGEODo6kokTJxJCCNHU1CSPHz8m7969Iz179iRjx46lopmcnEx69epF/Pz8qKd9lA3NL3mpqKgQbW1tmTE+iY6OJi1atCBisZg3zVu3bvGqmZaWRjZt2kRatWpFRCIRadeuHS+6hBBy79493q9vCY8ePSJaWlq86zJ+fFgRIkaVwt/fv9zjXO7Onjx5UvrzuXPnZEImCwsLERoaSrUqYPv27XHjxg00a9YM48aNg5OTE9XCLSUEBwfj8OHDePr0qVxFTVrtFcrutvfs2RNr1qzB0KFDOa9s2axZM7x9+xajR49GVFSUtKAHXyFIbdu2xZ07d6h46yvC9evXsXfvXhw6dAhGRkYYO3Ysnj9/jgEDBuCXX37B+vXrOdMaNmwY2rZtK+1bW8LatWtx48YNHDlyhDOt0jRo0EBhpeHXr1+jQYMG1Dwbjx49wt69e/Ho0SNs2bIFRkZGOHv2LOrVq0etcMy4ceMQGxuLbt26YcGCBRg4cCC2b9+OT58+UetT2bVrV3h5eeHgwYPScNDCwkJ4eXmhc+fOVDQBYMOGDejbty8sLS3x4cMHjB49GklJSTAwMMDBgwepaGZmZuLRo0cy6Qm00j6+p/6uQPG9IjAwEEFBQXj79i1GjBhBVe/Zs2cIDAxEYGAg4uPj0aFDB+zYsYOa3tu3b3H06FEEBgbi4sWLMDU1hbOzM4KCgmBmZkZNFyj2tp48eRKBgYEICQmBsbExp21XKkpwcDDnxe8YVQShLWAGg090dXVlXhoaGkQkEhEVFRXOd4VFIhERiURELBZLfy55KSsrk0aNGlEpVlPCokWLFHrkaBXJIaTYa6KpqUmmTp1KlJWViZubG+nVqxfR0dEhixYtoqJJSPG1btu2Ldm8eTNJT0+npkMIIcrKyuSnn34i58+fl/GSKSkp8eIBDQoKIqampmTbtm0kKiqKl0JaGRkZZP369cTKyoooKyuTYcOGkbNnz8p8/itXrhANDQ1OdQ0MDEhcXJzceFxcHDEyMuJUqzQikYi8fPlSbjw1NZWoq6tT0bx48SJRU1MjvXr1IsrKytICOV5eXmTYsGFUNBWRmppKjh49Su27REixx0ZfX5+YmZmRsWPHkrFjxxIzMzNiaGhI7t69S02XEEI+ffpEDhw4QObOnUvc3d3Jn3/+SbW4loWFBRk6dCi5evUqSUlJIampqTKvysbDhw+Jp6cnMTc3J0pKSqRPnz5k37595N27d9Q0d+3aRbp27UokEgmxsrIiq1ev5uXaqqqqkpo1a5IZM2bIFA+jSUhICBkzZgzR1tYm1atXJ5MmTSKXLl2irtuiRQvSsmVL6atFixakRo0aRCKRkN27d1PXZ1Q+WA4oo8qTlJQEd3d3zJ07F3379uX8/A0aNMCNGzeot0D5ErSL5ABAkyZNsHTpUjg5OcnkWHl6euL169fYvn0755pA8d+wbF4gIQQhISHw8fFBcHAwZ1rPnz+Hn58f9u7di7y8PDg5OcHZ2Rnt2rVDTEwMLC0tOdNShBCFtJSVlWFmZobx48dj7NixMDQ0lPudt2/fYvDgwQgPD+dMV01NDTExMXIFXB48eICWLVtynsc8a9YsAMUFNyZOnAh1dXXpscLCQly7dg0SiQSRkZGc6gJAhw4dMGLECMyaNUtm7Vy/fh1Dhw7Fs2fPONcUkhcvXmD79u2IjY2FmpoamjVrhqlTp1L1ply+fBkdO3aUaxFVUFCAqKgodO3alXNNIXpPl1BYWIgTJ07g/v37AAArKysMGjSIahEisViMNm3aYPTo0Rg1ahT1/HCguIVRyX24efPmMscKCwupfd4LFy7A1tZW7p58//59+Pj4cBoNUoK6ujoGDBgAZ2dn9OvXD9WqVeNcQxFle/iKxWIYGhqie/fuaNKkCS9zYFQumAHKYAC4efMmXFxc8ODBA6Gnwil8F8lRV1fH/fv3Ub9+fRgZGeHChQto3rw5kpKS0L59e4V9BrkmJSVFxtDu1asX/v77bypaYWFh8PX1xbFjx/DhwwfMmTMHP//8Mxo1akRFDxCmkNaVK1fQpUsXzs/7Jdq2bYsBAwbIFdZYtmwZTp06hVu3bnGq16NHDwDFRYg6dOgAZWVl6bGSSsNz5syhUgRJU1MTd+/eRYMGDeQqtDZp0kSmh+S3snXrVkyaNAmqqqrYunVrub87bdo0znSFRiKRKAytfvXqFYyMjKhs3gwcOBBjx47FsGHDOD93eSQnJ6Nfv354/vy5dAPn4cOHqFu3Lk6fPk0tRJTPzcDS5y9bXCkxMRHe3t7Yv38/0tLSONcsy/v373Ho0CH4+Pjg6tWrsLS0RHx8POc67969g5aWlszY27dvERAQAB8fH9y8eZNzTQaDBiwHlMEAoKSkhBcvXlA7/6VLl7B+/XrpTrSlpSXmzp1L7aH+xo0b8Pb2xqFDh2BmZgZnZ2dERUXhjz/+oOqhq1GjBl6/fo369eujXr16uHr1Kpo3b46UlBTQ3Ov6+PEjgoOD4ePjg4iICBQWFmL9+vWYMGEC1abZPXv2RM+ePZGdnY2AgAD4+vpi/fr1aNq0KeLi4qhoCpH72aVLFxQUFODixYt49OgRRo8eDS0tLbx48QLa2tqc59mWsGTJEgwdOhSPHj1Cz549AQChoaE4ePAglfzPEu/tuHHjsGXLFl4bruvq6iItLQ0NGjSQGb9z5w7nudubNm2Cs7MzVFVVsWnTps/+nkgk4swAjYuLQ9OmTSEWi7+4Npo1a8aJZlkUGSpAsQFattUNVwwcOBAzZ87E3bt3YW1tLeexGjRoEBXdadOmwczMDFevXpV6lV+9egUXFxdMmzYNp0+fpqJb2vhUtBlIg5K/aW5uLoKCguDr64vo6Gi0bt1aGtVAi8jISPj4+ODw4cPIy8vDzJkz4evrS80rWNr4DA8Pl26A6ujowMHBgYpmWT58+CBX34HPeyWjkiBU7C+DIQR//fWXzOvEiRNk586dxMrKitjZ2VHR3L9/P1FSUiKOjo5ky5YtZMuWLcTR0ZFUq1aNBAQEcK5nbW1N6tevTxYuXEji4+Ol43zkKE6YMIEsW7aMEELI9u3bpTlturq6ZPz48Zzr3bx5k7i7uxNdXV3SunVrsmXLFpKens5bPqYi7ty5Qzw8PKTvIyIiyIcPHzjXuXfvHjl79qzcd5oGqamppEmTJkRdXZ1IJBJpfuK0adOIm5sbFc0S/v77b9KxY0eirq5O9PX1SY8ePaRVW/kiOzubHD9+nNy/f5+axuzZs0nnzp1JWloa0dLSIklJSSQiIoKYmppK19SPTOlq4J/LjS8Z5xoHBwfi4OBAxGIx6devn/S9g4MDGTRoEDExMSF9+/blXJcQovAz0vysJairqyvMn46JieE8V7s0Hz58IAcOHCA9evQg1apVI2KxmGzcuJFkZ2dT04yOjiYTJkwg2trapGnTpkQikZDLly9T08vIyCBr1qwhjRs3JjVq1CAzZ84kN27c4OX/zrNnz8iqVauImZkZ0dfXJ2KxmBw6dEhh1W4uycnJIVOmTCGGhoZELBbLvRiMr4UZoIwqhaIHAGNjY+Lk5ERevHhBRbNJkyZk48aNcuMbNmwgTZo04VxPyCI5hYWF5NOnT9L3Bw8eJB4eHmTr1q3k48ePnOtJJBIyY8YM8uDBA5lxIQ3QsmhpaUkNNi549OgRadasmdxDPM0HgcGDBxMXFxfy8eNHoqmpKf084eHhpGHDhlQ0hWTEiBFk27ZthBBCcnNzibm5OalWrRpRUlIiwcHBVDQ/fvxIfv75Z6KkpEREIpH04d3FxYUUFBRQ0eST1NRU6f2obCEe2oV5SgodiUQiMnLkSOn7sWPHkkmTJpHVq1eTzMxMznWFRE9Pj0RGRsqNR0REUGnDIsRm4Pr164mlpSWpXbs2mTNnDomJiSGE0L//q6qqEhcXFxISEkIKCwul4zR1g4ODib29PdHQ0CDDhw8nJ06cIB8/fuTtf90vv/xCLCwsSHBwMFFTUyO+vr5k5cqVpE6dOuTAgQPU9RmVD2aAMhiUUVZWJklJSXLjSUlJREVFhXO90juktWrVIrNnzya3b98m1apV+26MMq7o06cP0dLSIqNHj5apyvo9GaClDTYuGDBgABk8eDDJzMwkmpqaJCEhgVy5coW0bduW2q5/9erVpUZ+6c+TkpJC1NTUqGiW5uPHj+Tff/8lT548kXnRwtjYWPowGxAQQBo2bEjev39P/vjjD9KiRQtquoQU9yA9ffo0CQoKIomJiVS1cnJyyJIlS4iVlRXR0NAgmpqaxNramixfvpy8f/+eqrYQLFu2jOTk5Ag9DV746aefiJWVFbl69SopKioiRUVFJDo6mjRt2pS4urpyrifEZqBEIiGLFi2S26Chff9v3LgxMTExIYsWLZKJiuDjs759+1ZmnK//dXXr1iXh4eGEECKN0CCEEH9/f2Jvb09dn1H5YDmgjCoL+f85iYpygrikbt26CA0NlauC+M8//6Bu3bqc69WuXRuLFy/G4sWLpUVyOnXqhIKCAvj5+VEvkvPmzRtcv34dL1++RFFRkcwxLvusAsX9Vf/991/s3bsX7u7uyMvLw8iRIwHQ/7sKRXR0NMLCwmBgYACxWAyxWIzOnTvDy8sL06ZNw507dzjXLCoqUlig5dmzZ3IFMbgkKSkJ48ePR1RUlMw4oVjxFwCys7OleXMhISEYNmwY1NXV0b9/f+q99urVq4d69epR1QCA/Px8dOvWDfHx8bC3t8fAgQNBCMH9+/fx22+/4ezZs7h8+TK1KpsvXrxARESEwvsErcJH8+bNk8lFf/LkCY4fPw5LS0v06dOHiuaKFSvKPV62wBZXbN26Fa6urujQoYP0b1hQUIBBgwZhy5YtnOvZ2trCx8cHL1++xE8//YS+fftSvwevXLkSe/fuxf79++Hk5ISffvoJTZs2paoJFFfhLsn9bNOmDRo1agQXFxcA9P7vTJgwATt27MDFixfx008/YeTIkdDT06OipYjXr1/D1NQUQHG+5+vXrwEAnTt3hru7O2/zYFQihLV/GQz+2bdvH2natClRUVEhKioqxNramvj7+3OuM27cOPL27Vvyxx9/EGVlZTJ58mTi7+9P/P39iZubG1FRUSG7du3iXFcRb968ITt27CCtWrUiIpGIWFtbU9E5efIk0dLSIiKRiOjo6Mj0XKUR9lWW8+fPEycnJ6KqqkrMzc3JwoULya1bt6jrlgfXHlBdXV3y+PFjQgghpqamJCwsjBBCSHJyMjVvpKOjI5k4cSIhpPjzPH78mLx794707NmTjB07loomIYR07NiRdO3alZw5c4bcuXOHxMTEyLxoYW5uToKCgkhOTg4xNDQkoaGhhJDi/Dl9fX3O9YTwRG7evJkYGxvLeawIIeT+/fvE2NiYbN26lYr23r17ibKyMtHU1CT169cnJiYm0leDBg2oaBJCSO/evcnOnTsJIYRkZWURIyMjUqdOHaKqqkr++OMPKpotWrSQeVlZWRF1dXWira1NWrZsSUWzqKiIPHnyhOTm5pKkpCRy8uRJcvLkSYWROFzy9OlTsnz5cmJiYkKMjY3JtGnTiJKSEklISKCqe/HiRTJmzBiirq5OmjVrRiQSCYmIiKCqWcK7d+/Inj17SIcOHYhIJCLdu3cne/bsUdhH+FvJzc0lfn5+pGvXrkRFRYUMGjSISCQS6r1zCSmuLVGSe29ra0tmz55NCCnu/V27dm3q+ozKBzNAGVWKDRs2EHV1dTJv3jxp0Za5c+cSdXV1hXma34JYLJYW3Th27Bjp1KkTqV69OqlevTrp1KkTOXHiBKd6FaVskRwuMTc3J9OnTxc8fO/169dk69atpEWLFoIXSODaAO3cuTM5fvw4IYQQJycnYmdnRyIiIsiYMWOIlZUVZzql+ffff4mlpSWxsLAgSkpKpH379kRfX580btxY+h2ngbq6OtXCP59jx44dRElJiejq6pLmzZtL87y2bt1KunfvzqnWx48fSatWrYiKigoZMmQIWbBgAZk/fz4ZNGgQUVZWJu3btyf5+fmcahJCSNeuXcn27ds/e3zr1q2ka9eunOsSQkidOnXIqlWrZPLn+EBfX19amO3PP/8kzZo1I4WFheTw4cNU8vE/R3Z2NnFwcKCy8UlIcS5+tWrVqIdwl4cQm4Fv374lu3btIm3btiUSiYR06NCBbNiwgapmaRISEsisWbOIkZERUVJSoqqVmJhIFi5cSGrVqkW0tbWJk5MTOXr0KDW9jRs3ki1bthBCCLlw4QJRVVUlKioqRCwWk82bN1PTZVRemAHKqFKYmJiQffv2yY37+fkRExMTTrVKV30Ugh49epCsrCy58ezsbNKjRw8qmurq6pwaW1wgtAeU6yJEISEh0geNpKQk0rhxYyISiYiBgYHUU0eDT58+kf3795O5c+cSd3d38ueff5Lc3FxqeoQQ0rp1a3LlyhWqGp/jxo0b5NixY+Tdu3fSsb///ptzz4pQnkgDAwOZKtlluXv3LjEwMOBcl5DinOLk5GQq5y4PNTU1ae7wiBEjpNWFnz59yksuc2ni4uJI/fr1qZ3f0tKSREdHUzt/RRFqMzAuLo5Mnz6dGBoa8qZZQn5+PlVjsDSFhYXk5MmTZPDgwURZWZkXTUKKC4kdPXqUxMbG8qbJqFyICKHYnI/B+M5QVVVFfHy8XD5mUlISrK2tOW32LhaLkZSUBENDw3J/j1b/LLFYjPT0dLmm6y9fvkTt2rXx6dMnzjWHDh2KUaNGwdHRkfNzfwk+c0+/Bi0tLcTGxkrzZ2jw+vVr6OnpVbq817CwMPz6669YvXq1wh6KfPSeI5Rzxbt16wZHR0dMmTJF4fFt27YhODgYly5d4lS3WrVq+Pfff1GjRg2Fx9PS0lC/fn25fn9cMG/ePFSvXh0LFizg/Nzl0axZM/z8889wcHBA06ZNERISgg4dOuDWrVvo378/0tPTeZtLREQEBg4ciKysLCrnP3XqFNauXYudO3fykhdZEW7fvg0bGxvOz+vv74+RI0dCRUVFZjw/Px/+/v74+eefOdcsobCwEMePH5fp8T148GAoKdEpsXL58mV07NhR7vwFBQU4duwYlf+9nz59gp2dHXbt2iXT55XB+BaYAcqoUjRt2hSjR4/GokWLZMZXrVqFoKAg3L17lzMtsVhc7kMroVRIpaTJe4sWLRAWFiYtpgIU/7MMCQnB7t27kZqayoneyZMnpT9nZmZixYoVGDduHK9N10+dOgVnZ2fk5ORAW1tb5rqLRCJpwQQuWbVqFZydndGgQQPOz10RkpOT8ejRI3Tt2hVqamrS7xMtkpKSEB4ertDAp1VIRSwWA5A3/mitndL4+Phg06ZNSEpKAgCYm5tjxowZnD/MGhoa4uLFi7CyslJ4PD4+Hj169EBmZianuhKJBOnp6Z/dIMvIyECtWrWoXOPCwkIMGDAAeXl5Cu8TGzdu5FwTAIKDgzF69GgUFhaiZ8+euHDhAgDAy8sLly9fxtmzZznX3Lp1q8x7QgjS0tKwf/9+dOvWDYGBgZxrAoCenh5yc3NRUFAAZWVlqKmpyRyncU8sISsrCz4+PjJG2fjx46kVzZFIJEhLS5PbbH316hWMjIyo3Sfu3buHQYMGIT09HY0bNwYAJCYmwtDQEH///fdn1/S3INRnNTQ0RFRUFDNAGZzBDFBGleLo0aMYOXIkevXqhU6dOgEAIiMjERoaisOHD8PBwYEzLbFYjKNHj8oYgIro1q0bZ5oluiUP7IqWt5qaGrZt24bx48dzplcRaBoMjRo1Qr9+/bB69Wqoq6tT0ShL8+bNER8fj3bt2sHFxQWOjo4wMDCgrvvq1Ss4OjoiPDwcIpEISUlJMDU1lT7gbdiwgXPNP//8E+7u7jAwMECNGjXkDPzbt29zrgngi14/rtdOCZ6enti4cSM8PDzQoUMHAMXVh7dv346ZM2d+sbLp1yCUJ1IsFqNp06af9dQUFBTg3r17VNbsqlWr4OnpicaNG8PY2Fju+xQWFsa5Zgnp6elIS0tD8+bNpfeu69evQ1tbG02aNOFcr+wGlVgshqGhIXr27ImFCxdSqyLt5+dX7oaUq6srFd3Lly9j0KBB0NbWRuvWrQEAt27dwps3b3Dq1Cl07dqVc02xWIyMjAy5zZTY2Fj06NGDmrHdoUMHGBoaYt++fVLjOisrC2PHjkVmZqZc9W4u+NxnTUxMROvWrfH27VvONQFg5syZUFFRwe+//07l/IyqBzNAGVWOW7duYdOmTdLdWQsLC8yePRstW7bkVOdzIbC0efLkCQghMDU1xfXr12X+USkrK8PIyAgSiYTXOdFGQ0MDd+/epRrmqoh79+4hICAAhw4dwrNnz9C7d284OztjyJAh1AzhMWPG4OXLl/D29oaFhYU0vPfcuXOYNWsW7t27x7lm/fr18csvv2D+/Pmcn/t7xNDQEFu3boWTk5PM+MGDB+Hh4YH//e9/nGkJ5Ylcvnx5hX5v6dKlnOoCxd65TZs2YezYsZyf+0u8efMGycnJAICGDRtCV1eX9zlUZqytrdGhQwfs3LlT+n+msLAQv/zyC6KiojiNMmrZsiVEIhFiY2NhZWUls5lSWFiIlJQU2NnZ4fDhw5xplkZNTQ03b96U83TGx8ejTZs2yMvL40xr6NChAIC//voLdnZ2MuHGhYWFiIuLQ+PGjRESEsKZZmk8PDzg7+8Pc3NztGrVChoaGjLHaUUtMCovrA8oo8rRqlUrHDhwQOhpUKN+/foAIBcmWZnp27cvbt68ybsBamVlhdWrV2P16tWIjIxEYGAgZsyYgcmTJ1PbiT5//jzOnTuHOnXqyIybm5vjyZMnVDSzsrIwYsQIKueuCLm5uXj69KmcF7BZs2ZU9D59+iT13pSmVatWKCgo4FSLEAJbW9tyPZE0+FrDMjIyEq1bt5bLs/svqKioSCNQ+CI1NRVTpkzBuXPnZPJ67ezssGPHDul9kxZ8h8wLFaqZnJyM4OBgmU1OiUSCWbNmwd/fn1OtIUOGAABiYmLQt29faGpqSo8pKyvDxMQEw4YN41SzNI0aNUJGRoacAfry5Uu5OhPfio6ODoDi+4WWlpZMSLWysjLat2+PiRMncqpZmvj4eGn+bmJiosyxylZ7gMEPzABlVAlevHiBjRs3wtPTU65wSXZ2NlatWoU5c+bA2NiYM8369esL7mnkq9l7dHQ0Xr16hQEDBkjH/P39sXTpUrx//x5DhgzBtm3bOHl4LaF07mn//v0xd+5cJCQk8Jp7WhoNDQ2oqalBWVkZ7969o6bz/v17hd7V169fc3p9SzNixAicP38ekydPpnL+z5GZmYlx48Z9NjeP1kP0Tz/9hJ07d8rt6u/ZswfOzs6calXEEKT5EF1R7O3tERMTw8kmz/Tp07Ft2za5/Eha/Pvvv2jfvj2qVauGlStXwsLCAgCQkJCAnTt3on379rhx44bcpg4XfC5kfsKECdRC5gHF6RcA8PHjRygrK1PRBAAbGxvcv39fmhNZwv3799G8eXNOtUrWjomJCUaNGkXt/lea0huLXl5emDZtGpYtW4b27dsDAK5evYoVK1ZgzZo1nOru3bsXQPFnnTt3Lm+pJo8fP0aDBg0QHh7Oix6j6sBCcBlVgjlz5uDt27fYs2ePwuOTJ0+Gjo4O5/80AKBnz544duyYXKjX27dvMWTIEGr5Tn5+fnBzc4OysjL09fXl8qweP37MmZa9vT26d+8uDdG8e/cubGxsMHbsWFhYWGDdunVwc3PDsmXLONP8HnJPU1JSEBgYiMDAQDx8+BDdunXD6NGjMXz4cOmONdf069cPrVq1wsqVK6GlpYW4uDjUr18fo0aNQlFREYKDgznX9PLywsaNG9G/f3+FBj6XmxmlcXZ2xpMnT7B582Z0794dx48fR0ZGBlatWoUNGzagf//+nGnNmjVL+nNBQQH8/PxQr1496YPltWvX8PTpU4wZMwbbtm3jTPdr4dIT+TVwWc3ZwcEBYWFh0NfXh5WVldz36dixY9+sUZoJEyYgOTkZ586dg6qqqsyxvLw82NnZwdzcHN7e3pzqAvyHzJcY9TNnzsTKlStlvIKFhYW4fPkyUlNTcefOHc40SwrfAcWG5rx58+Dh4SFjlO3YsQO///47Ro4cyZluCTdu3EBRURHatWsnM37t2jVIJBKF0Qz/lbLFBctWyS79nsb/nZSUFBQUFMgVA0pKSkK1atVgYmLCqV5ZT/rIkSOxdetWTjfrGVUTZoAyqgRNmzbFrl270LlzZ4XHo6KiMHHiRCr5c0K0QwGAunXrYvLkyVi4cGGFjbX/Ss2aNXHq1CnpP/rFixfj0qVLiIiIAAAcOXIES5cuRUJCAtV58EmJ16RZs2ZwdnaGk5MTateuTV03Pj4etra2sLGxQVhYGAYNGoR79+7h9evXiIyMhJmZGeea5VX65XozozQ1a9bEX3/9hbZt20JbWxs3b95Eo0aNcPLkSaxdu1b6/eKCHj16VOj3aBfJ+RLa2tqceSK/Bi4N0HHjxpV7vMTbwxW1a9dGUFDQZ+//ly9fxqhRo/DixQtOdQGgRo0aOHfuHJo3by5zDR8/foxmzZohJyeHU72StfrkyRPUqVNHJgqnJCx1xYoVcsbat1BilH3pcZKWUda2bVvMmzcPw4cPlxk/duwY1qxZg2vXrnGm9TXtkGgUSevWrRvGjx8vV0TqwIED8Pb2xsWLFznVK/v8wkdbMUbVgIXgMqoEKSkpqFev3meP16lTh7O2JCWU3hVOSEiQ6TFX0g6FpsGSm5uLUaNGUTc+geIcwdI7opcuXYK9vb30fZs2bfDvv/9S0y+vD9yhQ4eo9AG1tbWFr68vLC0tOT93eTRt2hSJiYnYvn07tLS0kJOTg6FDh2LKlCmoWbMmFc2UlBQq5/0S79+/lz746OnpITMzE40aNYK1tTXnlXd/lBCzyrBnzLWB+SX+97//lesZMjU1pVYple+Q+ZK12qNHDxw7doxa6xNFmkKRkJCgsL9oy5YtOd/0pFV5u6LcuXNHYf50+/btMXXqVAFmxGD8N5gByqgSqKmpITU19bNGaGpqqlyftG+lRYsWEIlEEIlE6Nmzp8I50QzlmzBhAo4cOcJLs3djY2OkpKSgbt26yM/Px+3bt2WqbL57904uzI5Lxo0bBzs7Ozkv87t37zBu3DgqBuhvv/0GoNjITUlJgZmZGbXm42XR0dHB4sWLedESksaNG+Phw4cwMTFB8+bNsXv3bpiYmGDXrl3UjO0SWLVUuhQUFODixYt49OgRRo8eDS0tLbx48QLa2toyYaNcULNmTSQkJHw2xzM+Pv6zbXC+lS5dusDf3x8rV64EUOwFLCoqwtq1ayvsdf8vlN1QKSgowIcPHzi/tgCoF3D6EioqKsjIyJDzyqWlpVG/J3/48AFxcXEK6yzQqD0gEokU1hjIzs6m4l0ueYYpO8ZgfCvMAGVUCdq1a4f9+/d/tgeZv78/2rZty6lmSkqKoO1QvLy8MGDAAISEhFBv9t6vXz8sWLAAa9aswYkTJ6Curo4uXbpIj8fFxVEJDS3hcxUlnz17Ri0XMy8vD1OnTsW+ffsAFFcGNDU1hYeHB2rXrs254V/ao14eXFWGLZ0T+SVoleCfPn060tLSABQXHLGzs0NAQACUlZXh5+dHRbO8aqnbt2/nPMfqR4HLh84nT57Azs4OT58+xcePH9G7d29oaWlhzZo1+PjxI3bt2sWZFlBcLXXOnDkIDQ2Va3fz8uVLzJ8/X1pRlWvWrl0LW1tb3Lx5E/n5+Zg3b55MyDzXnDp1Cq9evZJpcfPbb79h5cqVKCgoQM+ePREUFETVM8pX8bsS+vTpg4ULF+Kvv/6S3u/fvHmDRYsWoXfv3pzrlRASEoIxY8YobMtEK9y4a9eu8PLywsGDB2Xa3Hh5eX02xPxbIIRg7NixUm/9hw8fMHnyZLk2LFznbTMqPywHlFElCA8PR+/evTFjxgzMnTtXGi6akZGBtWvXYsuWLTh//rxCT+WPCp/N3v/3v/9h6NChiIiIgKamJvz8/KR9y4DicNX27dtLvYZcIWQfuOnTpyMyMhKbN2+GnZ0d4uLiYGpqir/++gvLli3jtMgHIJ9nVbboRckYVw89Zb0zt2/fRkFBgbS6ZWJiIiQSCVq1asVbTmRubi4ePHiAevXqwcDAgPPz//vvv2jTpg2qVauGX375Ra5aakFBAbVqqRVFqBwsLnWHDBkCLS0t+Pj4QF9fX3reixcvYuLEiUhKSuJgxv9HVlYW2rVrh/T0dLi4uKBJkyYghOD+/fsIDAxEjRo1cPXqVVSvXp1T3RKys7Oxfft2xMbGIicnBzY2NtRC5nv06IHhw4djypQpAIrrG3Tp0gUrVqyAhYUFFi9eDHt7e2qbRnwWvyvh+fPn6Nq1K169eiXt5x0TEwNjY2NcuHABdevW5VwTKG591adPH3h6evJWlCchIQFdu3aFrq6udJP3ypUrePv2LcLCwtC0aVNO9b6Ur10C32H1jB8fZoAyqgy7d+/G9OnT8enTJ2hra0MkEiE7OxvVqlXDpk2b4O7uTk2b7x1hQJhm79nZ2dDU1JTz7L5+/Rqampqcl/8vCfNdvnw5Zs+e/dk+cDTaDtSvXx9BQUFo3769zMN5cnIybGxsOO8DWrrHJyEETZs2xZkzZ+TC32iEw23cuBEXL17Evn37pJ6TrKwsjBs3Dl26dMHs2bM513z79i00NTXlcpiLioqQk5Mj106JC4SsllpRuC5CtGrVKjg7O5dbaIpr9PX1ERUVhcaNG8usndTUVFhaWiI3N5dzzaysLCxatAhBQUF48+YNAEBXVxeOjo5YvXo1NeOTb4yMjHDu3DmpITZr1iwkJCQgJCQEAHDmzBlMnz6dcyO/BD6L35Xm/fv3CAgIQGxsLNTU1NCsWTM4OTlRTf3Q1tbGnTt3qEb3KOLFixfSDY2Szzp16tRK8x1mVA2YAcqoUjx//hyHDx9GcnIyCCFo1KgRhg8fTtWjIcSOMFBcffHKlSty5dppkZqaigsXLuDTp0/o2rUr5zux5bFv3z6MHDlSzmigibq6OuLj42FqairzEB0bG4uuXbsiOzubqj6fnrDatWvj/Pnzcg3X4+Pj0adPH86rhx4/fhzz589HTEyMXAGX9+/fw8bGBuvXr8fAgQM51RWyWmpF4frv3rx5c8THx6Ndu3ZwcXGBo6MjFe9yafT09BAZGQlLS0uZzxMREYFhw4YhIyODmjYhBJmZmQAAQ0NDhaHFXLe6efPmDa5fv65wA5Lr/HQ1NTU8fPhQWu+gbdu2GDFiBObOnQugeCPL0tIS79+/51S3BH19fVy/fp13o0wIxo8fj06dOmHChAlCT4XB+OFgBiiDoYD+/fvD29ubkxApoXaEvby8kJaWxkuz9/DwcAwYMAB5eXkAACUlJfj6+sLFxYW6tlB07doVI0aMgIeHh7QfZ4MGDeDh4YGkpCSpx4EWfBqgWlpaOHXqFLp37y4zHh4ejkGDBiksivEt9OnTB46Ojvj5558VHvf19UVQUBDOnTvHqa6KigoePXr02Q2pZ8+eoWHDhvjw4QOnuoAwnsgS7t27h4CAABw6dAjPnj1D79694ezsjCFDhlBpeD9y5Ejo6Ohgz5490rVjaGiIwYMHo169eoKH83HpZT516hScnZ2lXvuyG5BcV99t2LAhduzYgb59+yInJwf6+voICwuTVk69ffs2+vbtKzXCuWbevHmoXr06L8XvSvD39y/3OI0idEBxSsCIESNgaGjIW3/ky5cvl3v8c3Uu/gul02i+BMsBZXwtzABlMBTA5cO9UDvCfDZ779y5MwwMDLBz506oqqri119/xfHjx3nzFOnp6Sn0ZIhEIqiqqqJhw4YYO3ZshfNZKkJERATs7e3h4uIi9XInJCQgKioKly5dQqtWrTjTUgSfBuiYMWNw5coVbNiwQVqs69q1a5g7dy66dOkiLcTEFbVq1cLly5fRsGFDhceTk5PRtWtXzr9fJiYm2LNnD/r06aPweEhICCZPnsx5yyZAGE+kIiIjIxEYGIgjR47gw4cPnIeSA8WGfN++fUEIQVJSElq3bo2kpCQYGBjg8uXLctWs+YbLtdWoUSP069cPq1evpmLMl2XhwoU4ceIEFi1ahDNnziAqKgqPHz+WpkXs2bMH/v7+nPbQLU1hYaF0M5J28bsSyhZU+vTpE3Jzc6GsrAx1dXVqLXZ8fHwwefJkqKqq8hbdpGgTu7Qul4WPvub/pdCbRowfD1YFl8GgDJ/tUEqjq6v7VTuY30J8fDyioqKkHuN169Zh9+7dePXqFfT19anre3p64rfffoO9vb3UQLp+/TpCQkIwZcoUpKSkwN3dHQUFBZg4cSInmp07d0ZsbCy8vLxgbW2N8+fPw8bGBtHR0bC2tuZE40vwVQ5/165dmDNnDkaPHo1Pnz4BKPZyT5gwAevWreNcLysrCwUFBZ89/unTJ2RlZXGuK2S11NjYWKkncv369ZgxYwZ1T6QiNDQ0oKamBmVlZc492yXUqVMHsbGxOHToEOLi4pCTk4MJEybA2dmZ83ZYQvP8+XNMmzaNt7+fp6enVLNGjRo4cOCATE7+wYMHOQ9dL42XlxfOnTsnLVZW1iijgaJ7QVJSEtzd3aWhxzRYvHgxli9fjgULFvAW3VT2s3769Al37tzBkiVLOC/yx4xKBk2YB5TBUACXO+BC7AjzjVgsRnp6uozngk8P3bBhw9C7d29MnjxZZnz37t04f/48jh49im3btmHPnj24e/fuN+t9+vQJbm5uWLJkCW8hkyUVf0uIi4tDkyZN5Aos3b59m9oc3r9/j0ePHgEAzMzM5Erxc0VJtc7PhXDv378fv/32Gx48eMCprtDVUkvDhyeyhJSUFAQGBiIwMBAPHz5Et27dMHr0aAwfPpxaG6PvGS7vXUOHDsWoUaPg6OjIwcy4h+t8VyGK332OmzdvwsXFhfP7RAnVq1fHjRs3vot810uXLmHWrFm4deuW0FNhMCoE84AyGJQRYkf4c7x9+xYBAQHw8fHBzZs3OT33uXPnZB5Wi4qKEBoaivj4eOkYjcbcJdpr1qyRG7e1tZVWaC3pVcoF1apVw9GjR7FkyRJOzlcRynreBg8ezJt2CRoaGpz1GS2PoUOHYvHixejdu7dce4P09HT8+uuvVPKL9fT0cO3aNSxatAiHDh2SqZY6evRoXqul8uGJBID27dvjxo0baNasGcaNGwcnJyfUrl2bml4JSUlJCA8PV1iYx9PTk7o+TU6ePCn9uX///pg7dy4SEhIUbkDSuidWFHt7e06rKquoqEjzTYVGSUmJahqIq6srgoKCsGjRImoaFcXY2BgPHz6kqhEcHIzDhw/j6dOnyM/PlzlGc+OTUTlhHlAGQwFc7oB/DzvC4eHh8PX1xbFjx6CjowMHBwfs2LGDs/NXJPyIVmNuAKhXrx5mzpyJmTNnyoxv2rQJmzZtwtOnTxEXF4c+ffogPT2dE01XV1e0aNFCTvN74Vs9G0OHDoWfnx+0tbW/GMrNdQGKd+/eoUOHDnj69ClcXFykmzcPHjxAQEAA6tati6tXr0JLS4tT3dIIUS1VCE/k4sWL4ezsDEtLSyrnV8Sff/4Jd3d3GBgYoEaNGnKbckI/zH5rEaKKhmPSvCdWFK4jVfgsfldCaYMfKF67aWlp2L59O+rWrYuzZ89S0Z02bRr8/f3RvHlzNGvWjJfopri4OJn3JZ/1999/R0FBAbXc3q1bt2Lx4sUYO3Ys9uzZg3HjxuHRo0e4ceMGpkyZwnn4L6PywzygDAZlhNoRfv78Ofz8/LB37168efMGWVlZCAwMhKOjI+ee17IeDL5ZsmQJ3N3dER4eLs0BvXHjBs6cOYNdu3YBAC5cuIBu3bpxpmlubo4VK1YgMjISrVq1kgtHpdXftaJ8q2dDR0dH+j3hOwxTS0sLkZGRWLhwIYKCgqR5T7q6unBxccFvv/1G1fgEio2DLxXD4dJ7JJQnsuTBMT8/HykpKTAzM4OSEt1Hg1WrVuG3337D/Pnzqer8V751X17o+6GQXL9+HWFhYfj777+pF78roWx0iEgkgqGhIXr27IkNGzZwrlfC3bt3pf1WS0f6lMyBBi1atIBIJJL7jrZv3x6+vr5UNAHgjz/+wJ49e+Dk5AQ/Pz/MmzcPpqam8PT0pFbkiVG5YR5QBkMBXl5ecHd3h66uLifn4nNH+OjRo/Dx8cHly5elVVrt7e2hoaGB2NhYXj0dfBIZGYnt27dLw5AaN24MDw8PdOzYkYpeebmfNPu7VhS+cnDT0tI4aVf0OQgh+N///gdCCG+eyIrC5TUWwhMJAHl5eZg6daq0knFiYiJMTU3h4eGB2rVrUymexmWbk69ByFY3inj+/DkvmwzlwfV94kuVU1lhm2/jyZMnMu/FYjEMDQ2p98BWV1fH/fv3Ub9+fRgZGeHChQto3rw5kpKS0L59e7x69YqqPqPywQxQRpXjxYsXiIiIUJh7RMNrxWc7FKA472X+/PlYsGCBjJeoWrVq1AzQsiFQn0PofKeqBBcPlrNmzSo3jCwtLQ3du3ennnv0JYQyaGgY+Xx6IgFg+vTpiIyMxObNm2FnZ4e4uDiYmprir7/+wrJly3Dnzh3ONSdMmIA2bdrIFQ2jzffS6iY9PR2//fYbfHx8kJuby7t+afgsFsf4cTE1NcXRo0fRsmVLtG7dGhMnToSbmxvOnz+PUaNGMS8o46thIbiMKkVJv0ZlZWWFfbtoGKB8tkMBih/uduzYgYsXL+Knn37CyJEj5fqkcU1FWlPQzncqKipCcnKywo0FLptzA8DVq1dx6tQp5Ofnw9bWFnZ2dpye/3th79690NfXx+LFi+WOlRifZduVCEFl2EcVwhMJACdOnEBQUBDat28vcz+0srKSVjzmgtIRIA0bNsSSJUtw9epVhYV5aIWv89nqJisrC7/88gsuXLgAZWVlLFiwAFOnTsWyZcuwfv16NGvW7LvwBvJdCI8rZs2aVeHf5TIXU4jc+K+JnqK1dnr27ImTJ0+iZcuWGDduHGbOnIng4GDcvHmT1+cbRuWBeUAZVYq6deti8uTJWLhwIW99u4QgLy8Phw8fhq+vL65du4a+ffvi9OnTiImJQdOmTYWeHudcvXoVo0ePxpMnT+SMEa4N3+DgYIwcORJqamqoVq0a3r59izVr1mDOnDmcaXABF56NK1euwM7ODuvXr4e7u7t0PD09Hd27d4eenh4uXLgATU1NLqb8nxHKi8OlrhCeSKA4tC4+Ph6mpqYynyc2NhZdu3ZFdnY2JzoVDXvlM3ydZqsbNzc3hISEYMSIETh37hwSEhLQt29fiMVi/Prrr2jfvj1nWt8CF99hGxsbhIaGQk9PT65dVFm4KjDVo0cPufMWFBRIC5YlJiZCIpGgVatWCAsL40QTKA4x3rp1K7S0tHgLNy67djIzM5GbmytNEXrz5g3U1dVhZGREbe0UFRWhqKhIGpVx6NAhREVFwdzcXLqpz2B8DcwDyqhS5ObmYtSoUYIbnzTboQCAmpoaXF1d4erqiqSkJOzduxc3b95Ep06d0L9/fwwfPlzQXcv+/fvD29ubs9zByZMno3Xr1jh9+jRq1qxJdVffy8sLEydOxI4dOyCRSODl5YXVq1d/dwYoF9egS5cuOHz4MIYNGwY9PT2MGjUK6enp6NGjB3R0dHD+/HnBjU8h4fJ7xpcnsiwl68bDwwPA/30mb29vdOjQgTOdlJQUzs7FFTRb3Zw9exZ+fn7o2bMnpk6dClNTU7Ro0QKrV6/mVOdzVDTflYvPPXjwYGn+dUWiYbggPDxc+vPGjRuhpaWFffv2SaN9srKyMG7cOHTp0oVT3dJGJV8e7NJrJzAwEH/88Qd8fHykxvbDhw+lIbG0EIvFMs9No0aNwqhRo6jpMaoAhMGoQsydO5d4eXkJph8WFkZcXFyIuro6qVmzJvnll1940y4sLCQnT54kgwcPJsrKyrzpKkJTU5M8evSIs/Opq6uTpKQkzs5XHhoaGjJaHz9+JEpKSiQjI4MX/YrC5TUOCAggqqqqZO/evcTCwoK0bt2avHnzhpNzcwHX3ychdNXU1KTnKn3emJgYoq2tzYmGIq5cuUI0NTXJ5MmTiaqqKpk+fTrp3bs30dDQIDdv3qSmKxSPHz8mq1atIpaWlkQikZCePXsSb29vzr/PEomEvHjxQvpeTU2N3Lt3j1ON8mjWrBkRi8WkQ4cOZMeOHSQzM5M3bb6pVasWiY+Plxu/e/cuqVmzJlXtT58+kQsXLpBdu3aRt2/fEkIIef78OXn37h0VPVNTU3L79m258Zs3bxITExNOtWJjY0lhYaH05/JeDMbXwjygjCqFl5cXBgwYgJCQEIW5RzT6dvHZDqU8xGIxBg4ciIEDB+Lly5fSca69kULQrl07JCcno2HDhtS1cnNzoa2tLX2vrKwMVVVV5OTkfLFtBxfw6dkoYfTo0Xjz5g0mTJgAGxsb/PPPP7y3ZikPrteRENeYL09kWTp37ozY2Fh4eXnB2toa58+fh42NDaKjo2FtbU1Fc9iwYWjbtq1cG5a1a9fixo0bOHLkCBVdPlvdEEJkikhJJBKoqalR0VIEn/muZXnz5g2Cg4Px6NEjzJ07F9WrV8ft27dhbGxM5Xq/fftW2rO3NJmZmZx7tkvz5MkT2NnZ4enTp/j48SN69+4NLS0trFmzBh8/fpS2AOOStLQ0FBQUyI0XFhYiIyODU60WLVogPT0dRkZGn23/Anwf/WwZPx7MAGVUKby8vHDu3Dlp6ErZIkRcUrYdyoYNG6TtUKytrQUt/lDaULp8+TLy8vIEmwsXeHh4YPbs2UhPT1e4sdCsWTNO9by9vWVCTwsKCuDn5ydTUZNWMYgjR45g6dKlvFTyLJvPVa1aNbx580Zh/pWQKHoo+hb4vMYlrF69Gvb29khISEBBQQG2bNmChIQEREVF4dKlS1Q0P336BDc3NyxZsgR//vknFQ1FXL58GcuWLZMbL7lP0sLW1ha+vr68tLohhMDW1lZqhObl5WHgwIFyuXI0146VlRVWr16N1atXS/NdZ8yYgcmTJ3Oa71qauLg49OrVCzo6OkhNTcXEiRNRvXp1HDt2DE+fPoW/vz/nmg4ODhg3bhw2bNgg7QN97do1zJ07l2qqyfTp09G6dWvExsZCX19fZj4TJ06komlraws3Nzd4e3vDxsYGAHDr1i24u7ujV69enGqlpKRIi8x9jyH0jB8bVoSIUaXQ09PDpk2bMHbsWOpaQrRD+S8IUcCFa01FOb0lu7Vc786amJh8cfOAdiGVEs/GoUOH8OzZM2qejeXLl1fo95YuXcqZZmmE7NvI1zUuzePHj+Hl5YXY2Fjk5OTAxsYG8+fPp+aJBAAdHR3ExMTweo3V1NQQExMj3Qgs4cGDB2jZsiX1DTE+Wt0IvXbKEhMTgwMHDuDQoUN49eoVtWvcq1cv2NjYYO3atTL3+aioKIwePRqpqamca+bm5mLOnDnw9fXFp0+fABT//50wYQLWrVsHDQ0NzjUBQF9fH1FRUWjcuLHMZ01NTYWlpSWVFjuZmZlwdXVFSEiIdKO1oKAAffv2hZ+fH7UonMuXL6Njx45y66WgoABRUVGcV5pnVAEEDP9lMHjH2NiYJCYm8qI1adIkoqOjQzp27Eh27txJXr9+TQghRElJiddcoC8hRP4c15qpqanlviozERER5JdffiGGhoZES0tL8Ll8+PCBs/N9L3lstK9xfn4+GTduHHn8+DHn5/4SY8aMIRs3buRVs02bNmT58uVy40uXLiU2NjbUdHNzc8n48eOJRCIhEolEeg+aOnWqoLUBCOF+7RDCX75rabS1tUlycjIhRPY+n5qaSlRUVKjpEkJITk6ONCcxJyeHqhYhhOjq6kr/l5f+rFeuXCFGRkZUtR8+fEj++usv8tdff5GHDx9S1SKEELFYrLDOwf/+9z8iFoup6zMqHywEl1GlmD59OrZt2/ZVfbX+K7t378bmzZul7VBmzJiBvn37ghAi16eS8W3Ur19f6CkIBs1Knl+Lvb09YmJiOPNsC5nHVhra17hatWo4evQolixZwvm5v4S5uTlWrFiByMhItGrVSs5bRCOUfMmSJRg6dCgePXqEnj17AgBCQ0Nx8OBBavmfALBgwQLExsbi4sWLMr17e/XqhWXLllHrtVoRuF47fOa7lkZFRUVheG9iYiL1nsFpaWlIS0tD165doaamJo2AoUWfPn2wefNm7NmzB0Bx5EtOTg6WLl2Kfv36UdMFiiNxCCFUvfil+dy1fPXqFTUPM6Nyw0JwGVUKBwcHhIWFQV9fH1ZWVnK5glw1jlZESTuUffv2IScn57tohwIIE4Lr5eUFd3d3aR8zLti/fz927dqFlJQUREdHo379+ti8eTMaNGiAwYMHc6LxPTQEB4rzcQIDAxEYGIiHDx+iW7duGD16NIYPHy5ocSDa3yWafRvLwvc1dnV1RYsWLTBz5kzOz10e5YXe0gwlP336NFavXo2YmBioqamhWbNmWLp0Kbp160ZFDyjeqCppdVP6u5qcnAwbGxuq36cvwfXaWbx4MZydnXlP9fj555/x6tUrHD58GNWrV0dcXBwkEgmGDBmCrl27YvPmzZxrvnr1Co6OjggPD4dIJEJSUhJMTU0xfvx46OnpUcsrfvbsmXRTOSkpCa1bt0ZSUhIMDAxw+fJlKuGwubm58PDwwL59+wAUG/ampqbw8PBA7dq1Od9EKXk++euvv2BnZydttwMUFz6Ki4tD48aNERISwqkuo/LDPKCMKoWurq5gBp+5uTlWr16NVatW4fTp0/Dx8YGTkxM+fvwoyHxo8eLFC0RERODly5dynt4So2zhwoWcau7cuROenp6YMWMGfvvtN2nOp66uLjZv3syZAbpp0yaZ9+U1BKdlgArl2fge4MvbK8Q1FsITCQhXXKR///7o378/r5qZmZkKjYL3798LWhSOBr/99hsAfvJdS7NhwwYMHz4cRkZGyMvLQ7du3ZCeno727dtL58Q1M2fORLVq1fD06VNYWFhIx0eOHIlZs2ZRM0Dr1KmD2NhYBAUFSfO2J0yYAGdnZ2oVjxcuXMirF79ks40QAi0tLZnPpaysjPbt21MruMSo5AgX/ctgMErnVPTr10+mbxxfrF69mmRlZXFyrr179xJlZWWiqalJ6tevT0xMTKSvBg0acKKhCAsLC3L8+HFCiGwuzt27d4m+vj4VzYCAANKpUyfy4MED6diDBw9Ily5dyIEDB6hoEkLIokWLvqsc4tLQyCcWIo9NiGtceq2UfdFaO9HR0WTRokVkzpw55OzZs1Q0FPH06VPy77//St9fu3aNTJ8+nezevZuqbpcuXcjWrVsJIcXf1ZKc26lTp5K+fftS1f4SXK8dofNdr1y5Qnbs2EHWrFlDLly4QFXL2NiYxMTEEEJkr+OjR4+IhoYGVW1FvHjxgkyZMoXKuevVq0eio6MJIbKfNSkpiWoNgGXLlvGSV8uoOjADlMH4TqDx8P78+XMSFBREtm3bRrZs2SLzokGdOnXIqlWrpM2r+UJVVVVabKj0dUxMTCSqqqpUNPlsCK6Ijx8/kgcPHpBPnz5R16ooXH+H27VrR8RiMWnRogVZt24defbsGWfnrgjf4zXmiiNHjhCxWEw0NDSIrq4uEYvFZN26dbxod+7cmfj7+xNCCElLSyNaWlqkQ4cOxMDAQGFxIq64cuUK0dTUJJMnTyaqqqpk+vTppHfv3kRDQ4PcvHmTmm5F4HrtTJs2jbRq1YpcuXKFaGhoSM994sQJ0qJFC850KsqtW7dI//79qZxbU1NTWlyw9HW8ceMGqV69OhXN+Ph4sm3bNrJ7927pBm5mZiaZMWMGUVVVJZaWllR01dTUpJ+v9GeNiYkh2traVDQZDBrI9y5gMCoZNjY2yMrKAlDc19DGxuazr8qEn58fGjRogAkTJmD9+vXYtGmT9EUjDwcozk8ZNWqUwrYoNGnQoAFiYmLkxkNCQmRCsriEz4bgpcnLy8OECROgrq4OKysrPH36FEBxL9Tff/+dmm5F4DqM0dbWFnfv3sWdO3cwZ84c3kKN+b7GV69exeLFizF37lzecqm8vLwwceJEZGdnIysrC6tWrcLq1at50Y6Pj5f2azx8+DCsra0RFRWFgIAA+Pn5UdPt3LkzYmNjUVBQAGtra5w/fx5GRkaIjo5Gq1atqOlWBK7XzokTJ7B9+3Z07txZ5txWVlZ49OgRp1olnDt3DnPmzMGiRYukucMPHjzAkCFD0KZNG2rF97p06SLTX1QkEqGoqAhr166V61nMBSdPnkTLli0xbdo0TJ48Ga1bt0Z4eDgsLCxw//59HD9+HPfu3eNcFwBat26N06dPS9+X/G29vb3RoUMHKpoAkJGRgZ9++gm1atWCkpISJBKJzIvB+GqEtoAZDNosW7aMvH//XvpzeS8h4XoHXAhv5Ny5cwVpZ/Dnn3+S2rVrk0OHDhENDQ1y8OBBsmrVKunPNBgwYABp2bIluXXrlnTs5s2bxMbGhgwcOJCKJiHfn2ejNLRa+vDtieTzGgvlidTQ0CBJSUnS9x8/fiRKSkoKWy3Q0E5JSSGEEDJw4EDy+++/E0IIefLkCbWIBSFb3VQErtcO354yb29vIhKJiL6+PhGLxcTQ0JDs37+f6OrqEjc3N5KQkMC5Zgl3794lRkZGxM7OjigrK5Phw4cTCwsLYmxsLG0JwyVt2rQhM2bMIO/evSObNm0iIpGING3alFy/fp1zrbII5cW3s7MjlpaW5I8//iDHjx8nJ06ckHkxGF8LM0AZjO8Erh9AqlevTuWfb3kUFBQQOzs70q1bNzJ16lQyc+ZMmRdNDhw4QBo2bEhEIhERiUSkdu3axNvbm5rey5cvib29PRGJRERZWZkoKysTsVhM7O3tqT7EC5EDtHLlSkEe3IXKY+PzGtvY2BA3NzdSUFBACCnOydbT0+NUQxEikUjue8pXT+C2bduS+fPnk8uXLxNVVVVp/l50dDSpXbs2NV1tbW3ev8dCrR2+812tra3J2rVrCSGEBAcHE5FIRDp06CCT60uTN2/ekFWrVpERI0YQe3t7snjxYmo1FbS1taWbNwUFBUQikVDPcy1NcnIy+fnnn0mbNm2IhYUFcXZ2JnFxcVQ1NTU1yZ07d6hqMKoWrAoug1FJmTBhAo4cOcJrbzsvLy+cO3cOjRs3BiAbVka7yqSzszOcnZ2Rm5uLnJwcGBkZITc3F1FRUejYsSPneoaGhjhz5gwSExPx4MEDAECTJk3QqFEjzrVKI0QlzyNHjmDp0qVo164dXFxc4OjoCAMDAypapRGqbyOf1/jhw4cICgqShrHNnj0bnp6eePnyJZU2DqXx9vaGpqam9H1BQQH8/Pxk/rY0qu+uWbMGDg4OWLduHVxdXdG8eXMAxaGNJaG5NBgyZAhOnDjBa6sbodbO6tWrYW9vj4SEBBQUFGDLli1ISEhAVFQULl26xLneo0ePMGLECADFrTuUlJSwbt061KlTh3MtRejo6GDx4sW8aL179w7a2toAAIlEAjU1NV7bmJmZmeHPP//kTQ8A6tatC8K6NjI4hPUBZVQpCgsLsWnTJhw+fBhPnz5Ffn6+zPHXr18LNDPu+8AVFhZiwIAByMvLg7W1tVzP040bN3KiUxo9PT1s2rQJY8eO5fzc/4XY2FjY2NhI27JUBrp27YoRI0bAw8MDWlpaiIuLQ4MGDeDh4YGkpCRqOYT37t1DQEAADh06hGfPnqF3795wdnbGkCFDoK6uTkVTqL6NfF5jsViM9PR0GWOTj968JiYmXzSmafYBLSwsxNu3b6GnpycdS01NlbYxosGqVauwYcMG2Nra8trqRoi1AwCPHz+Gl5eXtEWIjY0N5s+fD2tra861yn6P+ewvnZSUhL/++gupqakQiUQwNTXFkCFDyu1x+y2IxWLs27dP2qLEyckJmzdvhrGxsczvDRo0iHPt7OxsXLhwQeaz2traSg1iWpw/fx4bNmzA7t27YWJiQlWLUTVgBiijSuHp6Qlvb2/Mnj0bv/76KxYvXozU1FScOHECnp6e1B5AKoKXlxfc3d2lPSW/lVWrVsHT0xONGzeGsbGxnDcyLCyME53S1KhRA1euXIG5uTnn5/4v0DRACwsL4efnh9DQUIU9T2lcXwCIiIiAvb09XFxc4OfnBzc3NxnPBh/FVCIjIxEYGIgjR47gw4cP1AxBdXV1xMfHw9TUVOaBNjY2Fl27dkV2djYVXT6vsVgsxqpVq2Q8kfPnz8fcuXOpeyKrGuUZJDSN7dLwsXY+ffoENzc3LFmyhJoRVpay32NF32GA+++xl5cXPD09UVRUBCMjIxBCkJmZCYlEgtWrV2POnDmc6gGoUJE9kUjE+f+dAwcOYOrUqXLfGR0dHezatQsjR47kVK80enp6yM3NRUFBAdTV1eU2tIXcvGf8mDADlFGlMDMzw9atW9G/f39oaWkhJiZGOnb16lUEBgZS0X3x4gUiIiIUGiq0HiyF8EZ6eXkhLS0NW7du5U2zPGgaoFOnToWfnx/69++PmjVrynmTNm3axLlmCXx6NhQRExODAwcO4NChQ3j16hXy8vKo6Ajl7QX4u8ZCeyL5pGXLlhUKYb59+zYPsxEGvtaOjo4OYmJieDNAhfgeh4eHo1evXliyZAmmT58u9aa/fv0amzdvxurVqxEWFoauXbtypikUt2/fRrt27eDs7IyZM2eiSZMmIIQgISEBmzdvxqFDh3Djxg1pODvX7Nu3r9zjrq6uVHQZlRdmgDKqFBoaGrh//z7q1auHmjVr4vTp07CxscHjx4/RsmVLKh6VEg+KsrIy9PX15TyRtB4shfBGOjg4ICwsDPr6+rCyspLbJT127BhvcwHoGqAGBgbw9/dHv379OD/35xDCs1FCSkoKAgMDERgYiIcPH6Jbt24YPXo0hg8fLg1F4xohvL1CXmO++JoNIi43yJYvX16h31u6dClnmiVcvXoVp06dQn5+PmxtbWVyimkjxNpxdXVFixYteM135ZuRI0dCV1cXu3fvVnh80qRJePfuHQ4ePMjzzGTp378/vL29UbNmzf98jnHjxiEnJwdHjhxReHz48OHQ1taGr6/vf9ZgMPiEGaCMKkXjxo3h7++Pdu3aoXPnzhgwYAAWLFiAoKAgeHh44OXLl5xr1q1bF5MnT8bChQt57Y8phDdy3Lhx5R7fu3cvp3onT54s93hKSgpmzZpFxQCtVasWLl68SL3oUFn49mwAQPv27XHjxg00a9YMzs7OcHJy4q0npxDeXiGuMZ+U/VyZmZnIzc2Vhv+/efNGmosppOc1MjISrVu3hoqKyjedJzg4GCNHjoSamhqqVauGt2/fYs2aNVTCM8si1NoRKt+1olhbW+PMmTOoW7fufz5HgwYNsH//fnTu3Fnh8StXrmDMmDFISUn5zxpcwEU+bKNGjfDHH3+gV69eCo//888/+OWXX5CYmPifNb7Eo0ePsHfvXjx69AhbtmyBkZERzp49i3r16sHKyoqaLqNywgxQRpViwYIF0NbWxqJFixAUFAQXFxeYmJjg6dOnmDlzJpUm8/r6+rh+/TrMzMw4P3d5fG/eSBoIlYsDABs2bMDjx4+xfft26hV+SyOEZ2Px4sVwdnaGpaUlb5pCeiL5usZCeSJLExgYiD/++AM+Pj7S6tUPHz7ExIkT4ebmBmdnZyq6FUFbWxsxMTHfXMimVatWaNOmDXbs2AGJRAIvLy+sW7eOl7w1IdYO8H3ku5YHF0aZuro6EhMTP1tp99mzZzA3N6cW5lxRuPismpqaSEhIQL169RQef/r0KSwsLPD+/fv/rFEely5dgr29PTp16oTLly/j/v37MDU1xe+//46bN28iODiYii6j8sIMUEaVJjo6GtHR0TA3N8fAgQOpaMybNw/Vq1fntR0KwL83sqrh4OCA8PBwVK9enVcDX0jPRn5+PlJSUmBmZgYlJfpdvITyRPJ1jb8HT6SZmRmCg4PRsmVLmfFbt25h+PDhgnqPuKqkqqmpiZiYGDRs2BBA8fdYQ0MDz58/p97qpgS+1873Dhd/W0UVpEuTkZGBWrVqCV4FvTJ81g4dOmDEiBGYNWuWzOe5fv06hg4dimfPnlHRZVRe2F2QUaXp0KEDOnToQFXDy8sLAwYMQEhICG/tUAD+DEwbGxuEhoZCT0/vi0VGhC4uwkUuTgm6urpwcHDgYFZfh4+PD3R1dXHr1i3cunVL5phIJKJigObl5WHq1KnSQhSJiYkwNTWFh4cHateuTW1zRYi+jQB/17i0cfclTyQt0tLSUFBQIDdeWFiIjIwMarp8kpubK9OmQllZGaqqqtJ+wTQRYu0Ime/KN2V72Zbm3bt3PM+GLufOnftszvCbN2+oat+9e1dhkUYjIyP873//o6rNqJwwA5RR6flSnmBpaPTt8vLywrlz56QPlWWLEP3oDB48WJqjNWTIEGEn8wUuX77MWTiWUB5kITxSCxYsQGxsLC5evCjzMNurVy8sW7aMmgFqbm6OFStWIDIykldvrxDXeMmSJQgODpbeJ4DinPVNmzZh+PDh1EJhbW1t4ebmBm9vb9jY2AAo9n66u7t/Nt/sR6SsoVJQUAA/Pz/qrW74Xjtl8103btzIW74r39SrVw9//vnnF3+nsvClSrM0nyd0dXWRlpYmF7Vx584d3uoBMCoXLASXUempaOEfWrmCfLZD+ZG8kUJAozl6ZmYmHj58CKDYYDA0NOTs3GURyrNRv359BAUFoX379jLXMDk5GTY2NtT6gAqRxybUNVZXV8elS5fQpk0bmfHr16+je/fuyM3NpaKbmZkJV1dXhISESKMzCgoK0LdvX/j5+fEWoqoIrtarkK1u+F47Qua7fg007sXfK5Xhs86ZMwfXrl3DkSNH0KhRI9y+fRsZGRkYM2YMxowZQ6VyNaNywzygjEpP2b6bfKOiooJOnTrxovUjeSN/dN6/fw8PDw/4+/tLv2MSiQRjxozBtm3boK6uzqmekJ6NzMxMhYbI+/fvqe668+2JFPIaC+WJNDQ0xJkzZ5CYmIgHDx4AAJo0acJ7dWdFcPXdSk1N5eQ8/wW+187Dhw8RFBQEiUQCAJg9ezY8PT3x8uVLQTcTvge4qLxbmo8fP6KgoEAuMqMsixYtQvXq1TnRrChcppsAwOrVqzFlyhTUrVsXhYWFsLS0RGFhIUaPHo1ff/2VEw1GFYMwGFWA0NBQYmFhQbKzs+WOvXnzhlhaWpLLly9T0V69ejXx8PCgcu7vjYKCArJu3TrSpk0bYmxsTPT09GReQqOpqUkePXrEybkmTZpETE1NyZkzZ0h2djbJzs4mp0+fJmZmZmTy5MmcaJTGxsaGuLm5kYKCAkJI8feKr2vapUsXsnXrVkJI8TV8/PgxIYSQqVOnkr59+1LRjI6OJosWLSJz5swhZ8+epaJRFiGv8cuXL4m9vT0RiUREWVmZKCsrE7FYTOzt7UlGRgYvc/je4HK9CgXfa0ckEsl9X/i6jkVFRSQxMZHEx8eTT58+lfu7AQEBJCcnh/qcSsPVdXj58iWxs7MjSkpKRCwWk3bt2pGkpCQOZsgdtP7mT58+JadPnyZBQUEkMTGR8/Mzqg4sBJdRJRg0aBB69Ojx2WImW7duRXh4OI4fP865dlVoh1KCp6cnvL29MXv2bPz6669YvHgxUlNTceLECXh6egree47LUCgDAwMEBweje/fuMuPh4eFwdHREZmbmN2uURshKnhEREbC3t4eLiwv8/Pzg5uaGhIQEREVF4dKlS2jVqhWnekL1bfweqqXy7YksLCyEn58fQkND8fLlS7mIkbCwMM41V61aBWdnZ16qGwvd6obvtSMWi7Fq1SqZfNf58+dj7ty5VPNdU1JSMGjQICQkJAAA6tSpg6NHj6J169ac6nwLXN3/x48fj7Nnz2LatGlQVVXF7t27UbNmTYSHh3M002+H67DfFStWYM6cOXKRPXl5eVi3bh08PT050WFUHZgByqgS1K9fHyEhIbCwsFB4/MGDB+jTpw+ePn3KubZQ7VAKCwuxadMmHD58GE+fPkV+fr7McRo5QWZmZti6dSv69+8PLS0txMTESMeuXr2qsIoen3D5T1ldXR23bt2S+07du3cPbdu25bwfm6Iy/HzmFj1+/BheXl6IjY1FTk4ObGxsMH/+fFhbW3OuJVQem9DXWAimTp0KPz8/9O/fHzVr1pQLC920aRPnms2bN0d8fDzatWsHFxcXODo6yhhHXPI9tLrhc+0Ile86fPhw3Lt3D56enlBVVcX69evx4cMHuSrSQsLVWq5bty68vb3Rt29fAEBSUpK0B2dJCozQcH3fkkgkSEtLk9uIe/XqFYyMjARvdcP48WA5oIwqQUZGhpznsTRKSkqce6xKEKpa6vLly8v1RtIgPT1d+lClqamJ7OxsAMCAAQOwZMkSKppfA5e5OB06dMDSpUvh7+8PVVVVAMW7wcuXL6fW2keISp6fPn2Cm5sblixZ8sWKk1whZB6bUNVShfBEAsChQ4dw+PBh9OvXj8r5FREbG4t79+4hICAA69evx4wZM9C7d284OztjyJAhnOZPC9nqRoi1I1S+a0REBIKDg9G5c2cAQPv27VGnTh28f//+izmSPxovXrxA8+bNpe/Nzc2hoqKCtLQ0mJiYCDcxihBCFG5sxMbG8p7fyqgcMA8oo0pgZmaGDRs2fLYwz7FjxzBnzhxqO+BCIIQ3snHjxvD390e7du3QuXNnDBgwAAsWLEBQUBA8PDzw8uVLzjVLePHiBSIiIhQ+vNMwGO7evQs7Ozt8/PhR+jASGxsLFRUVnD9/HlZWVpzqCVnJU0dHBzExMbyETALCeSKFvMZCeCIBoFatWrh48aKgRYciIyMRGBiII0eO4MOHD9SqKpuZmSE4OBgtW7aUGb916xaGDx9OpegV32tHKMRiMdLS0mBsbCwd09TUxN27d7+bz87VPUQikSA9PV2m4rm2tjZiY2Mr3WfV09ODSCRCdnY2tLW1Ze5LhYWFyMnJweTJk7Fjx45vnTKjisE8oIwqQb9+/bBkyRLY2dlJvVUl5OXlYenSpRgwYABnet9DOxQhvJEODg4IDQ1Fu3bt4OHhARcXF/j4+ODp06efzb/lgpLcKmVlZejr68v1WqVhgFpbWyMpKQkBAQHSnD0nJyc4OztDTU2Ncz0hK3kOGTIEJ06coPo3LIsQnkghr7EQnkig2Lu8ZcsWbN++XbC+xBoaGlBTU4OysjLevXtHTSctLQ0FBQVy44WFhcjIyKCiyefaETLfVSQSIScnR+beJxaL8e7dO5kNBW1tbU51hYAQgkaNGsmsl5ycHLRs2VKm7dv31vrmv7B582YQQjB+/HgsX74cOjo60mPKysowMTGhFvHDqNwwA5RRJfj1119x7NgxNGrUCFOnTpWGXz148AA7duxAYWEhFi9ezJne99AOpU6dOkhLS0O9evVgZmaG8+fPw8bGBjdu3KCWp/L7779Lfx45ciTq1auH6OhomJubY+DAgVQ0AWDJkiXw9PTEwoULK9z39Vvx8vKCsbExJk6cKDPu6+uLzMxMzJ8/n5d58IG5uTlWrFiByMhItGrVSi6kjuuHWUUN5mvUqIH9+/dL39PaWBAKZWVlafEjPomIiEB4eDjOnj3La5G0lJQUBAYGIjAwEA8fPkS3bt2wfPlyDB8+nIoeIEyrGz7XTlkveXn5rlyvnRKjrOxYibe5JIST61xBQgiSk5ORn5+Pxo0bQ0np84+1u3fvlvHQ/leESqsB+G/94urqCqA4l7pjx47lpjIxGF8DC8FlVBmePHkCd3d3nDt3DiVfe5FIhL59+2LHjh3fTegMVyxYsADa2tpYtGgRgoKC4OLiAhMTE6k3srSx+KOjr6+P69evw8zMjDdNExMTBAYGomPHjjLj165dw6hRozgN5xO6kmd5a4NWSCrfCH2NN2zYgMePH/PuiRSiSFr79u1x48YNNGvWDM7OznByckLt2rU51ylLZmYmXF1dERISIn2QLigoQN++feHn50clv1iotfOlfFdnZ2dO9S5dulSh3+vWrRtnmj9C5V2uyMzMxJgxY/DPP/+gqKgIbdq0wYEDB3jdtCosLMSJEydw//59AICVlRUGDRokzdVnML4GZoAyqhxZWVlITk4GIQTm5ubQ09MTekq8EB0dTcUbefLkyQr/7qBBgzjTLc28efNQvXp1LFiwgMr5FaGqqor79+/LPWA+fvwYlpaW+PDhA2da30Mlz8qO0NfYwcEB4eHhqF69eqVv17R48WI4OzvD0tJSEH2+W90IgRD5rnwjdOXdvLw8XLhwAYmJiQCKayD06tWLSgqG0K1fkpOT0a9fPzx//lxmQ6Nu3bo4ffo0r5u/jMoBM0AZDMoI0Q6FTyoa8koj/KqEwsJCDBgwAHl5ebC2tpZ7eN+4cSPnmubm5li6dClcXFxkxvfv34+lS5dWGs/G1atXcerUKeTn58PW1hZ2dnacnr8sQnsiAf6vMSBcu6YSMjMz8fDhQwDFD9KlC6zQIj8/HykpKTAzMys3dPJHhe+1Uxp1dXVcunQJbdq0kRm/fv06unfvjtzcXE71Klo4issc0Bo1ashU3k1LS0OdOnXw9u1b6pV3T548iZ9//hn/+9//ZMYNDAzg4+PDecqJ0K1f+vXrB0IIAgICpKG9r169gouLC8RiMU6fPk19DoxKBmEwGFRZsmQJqVmzJlm/fj1RVVUlK1euJBMmTCD6+vpky5YtnGr99ddfFX5VJlauXElEIhFp0qQJ6datG+nevbv01aNHDyqaa9asIfr6+sTX15ekpqaS1NRU4uPjQ/T19cnq1aupaBJCiKmpKbl9+7bc+M2bN4mJiQmnWkeOHCFisZhoaGgQXV1dIhaLybp16zjVKIuJiYnMS0NDg4hEIqKnp0f09PSISCQiGhoapEGDBtTmwOc1FpqcnBwybtw4IpFIiEgkIiKRiCgpKZHx48eT9+/fU9HMzc0l48ePJxKJhEgkEvLo0SNCCCFTp04lXl5eVDQJIaSgoIB4e3sTJycnYmtrS3r06CHz4hIh1k5pBgwYQFq2bElu3bolHbt58yaxsbEhAwcO5FxPJBIRsVj82VfJca4109PTZcY0NDTI48ePOdUpS2RkJKlWrRoZNmwYiYqKIllZWSQrK4tERkaSoUOHEmVlZRIdHc2pplgsJmlpaTJj6urqJCUlhVOdz6Gurk7i4uLkxmNiYoiGhgYvc2BULpgBymBQxtTUlPz999+EEEI0NTVJcnIyIYSQLVu2ECcnJ061Sh4gv/Ti+kEgNDSUWFhYkOzsbLljb968IZaWluTy5cucapZGV1eX7N27l9r5FVFUVETmzZtHVFVVpQ9Z6urqZPny5VR11dTUyPXr1+XGr127RtTU1DjVsrGxIW5ubqSgoIAQQsjq1auJnp4epxrlERAQQDp16kQePHggHXvw4AHp0qULOXDgADVdPq9xWV6+fEmuXLlCrly5Ql6+fElVixBCJk2aRExNTcmZM2dIdnY2yc7OJqdPnyZmZmZk8uTJVDSnTZtGWrVqRa5cuUI0NDSkBuiJEydIixYtqGgSQsiUKVOIhoYGcXR0JNOnTyczZsyQeXGJ0Gvn5cuXxN7enohEIqKsrEyUlZWJWCwm9vb2JCMjg3O9ixcvVujFJWKxmCQnJ0u/t9nZ2URLS4vExsbKjHGNvb09mTRp0mePT5o0idjb23OqKRaL5e4HWlpa1I3tEvT09EhkZKTceEREBK/fa0blgRmgDAZl1NXVyZMnTwghhNSoUUO6I/3o0SOira0t5NQ4Y+DAgWTjxo2fPb5lyxYyZMgQavrGxsYkMTGR2vnL4927d+T69evk7t275MOHD9T1+PRsaGhokKSkJOn7jx8/EiUlJSoPsIoQyhPJt/eIEGE8kYQQoq+vT8LDw+XGw8LCiIGBARXNevXqST1EmpqaUgM0KSmJaGlpUdEkpPiznj59mtr5SyP02inh4cOH0qiXhw8f8qpdHl5eXiQrK+ubzqHI61p6jMZmKyHFxpgib2AJsbGxRFdXl1NNkUhEdHV1pZEgJdEgOjo6MmO0+Omnn4iVlRW5evUqKSoqIkVFRSQ6Opo0bdqUuLq6UtNlVF4qX9IFg/GdwXc7lLCwMEydOhVXr16Vy7fJzs5Gx44dsWvXLnTp0oUzzdjYWKxZs+azx/v06YP169dzpleW6dOnY9u2bV+VP8gVmpqacnlWNPH19YWrqytat24tV8nT29ubU63c3FyZ75CysjJUVVWRk5NDpWJoWYTo2wjwe41LmDVrFi5duoRTp06hU6dOAIpbpEybNg2zZ8/Gzp07qejm5uYqbE1hZGTEeZ5gCZmZmQq/P+/fv6daAZjPVjdCr50SGjVq9F0WWVq9ejUcHR2lRb7+C3wV4ClLXl5eubmsOjo6nBahA4Rt/QIU5+aPHTsWHTt2lOZrFxQUYNCgQdiyZYugc2P8mDADlMGgjIODA0JDQ9GuXTt4eHjAxcUFPj4+0nYoXLN582ZMnDhR4T9IHR0duLm5YePGjZwaoBkZGeX2B1NSUkJmZiZnemW5fv06wsLC8Pfff1f6CqKGhoY4c+YMb5U8vb29oampKX1fUFAAPz8/GBgYSMdoFQMSom8jwP81BoCjR48iODgY3bt3l47169cPampqcHR0pGaAdujQAUuXLoW/vz9UVVUBFD9gL1++nFqD+datW+P06dPw8PAAAKnR6e3tTbWp/ezZs7FlyxbeWt0IuXYKCwvh5+eH0NBQvHz5EkVFRTLHw8LCqOhWFMJB/UsuW7p8Debm5ggLC/ts4bDQ0FCYm5tzqlnSj5NvioqKsG7dOpw8eRL5+fkYMmQIXF1dIRKJYGFhIUjvYkblgFXBZTB4hlY7lBLq16+PkJAQWFhYKDz+4MED9OnTB0+fPuVM08zMDBs2bMCQIUMUHj927BjmzJlDrTKs0BVEKysmJiZffFCn2ctQiL6NQqGuro5bt27Jrdt79+6hbdu2eP/+PRXdu3fvws7ODh8/fkTz5s0BFEc0qKio4Pz587CysuJcMyIiAvb29nBxcYGfnx/c3NyQkJCAqKgoXLp0Ca1ateJcE+C31Y3Qa2fq1Knw8/ND//79UbNmTbm5bNq0iYpuRdHS0kJsbCxMTU3/8zmEqLwLFF+7VatWYf/+/ejXr5/MsdOnT8PV1RWLFi3CrFmzONUF+G39AgArV67EsmXLpBrnzp2Dk5MTfH19qegxqg7MAGUwKhmqqqqIj4//7M5kcnIyrK2tkZeXx5mmh4cHLl68iBs3bki9KCXk5eWhbdu26NGjhyAhspWN792zQQO++zYKcY1tbW2hr68v54l0dXXF69ev8c8//3CuWUJubi4CAgKk19jCwgLOzs7UHmqB4n65Xl5eiI2NRU5ODmxsbDB//nxYW1tT06xKG1UGBgbw9/eXM5C+F7gwQMVicblGPiGESvuvoqIijBw5EkePHkXjxo1hYWEBQgju37+PpKQkDBkyBEeOHKlwi7KKwnfrF6DY2ztnzhy4ubkBAP755x/0798feXl5nH8+RtWCGaAMBgVOnjxZ4d8dNGgQp9pCeCMzMjJgY2MDiUSCqVOnSnsnPnjwADt27EBhYSFu376tMNeM8XV8756NyoAQ11gITyQAeHl5wdjYGOPHj5cZ9/X1RWZmJubPn8+p3qdPn+Dm5oYlS5agQYMGnJ6b8X/UqlULFy9e/C7zPwFuDNBLly5V6PdoheoGBQXh4MGDUm9ko0aNMGrUKIwaNYpzraioKHTv3h2DBg3C7NmzpZESCQkJ2LBhA/7++29cunQJ7du351RXRUUFycnJqFu3rnRMVVUVycnJqFOnDqdajKoFM0AZDApUdGeQxu6sUN7IJ0+ewN3dHefOnZPm94hEIvTt2xc7duzg/GHTxsYGoaGh0NPTQ8uWLcvdCb99+zan2kLCl2fja74flS2PTSjvkRCeSBMTEwQGBqJjx44y49euXcOoUaOQkpLCuaaOjg5iYmIEM0AzMzPx8OFDAMUhjIaGhpye/3tYOxs2bMDjx495y3f9WrgwQL+W33//HZMnT/6mwkdC6fbr1w9169bF7t27FR53c3PDv//+izNnzvxnDUVIJBKkp6fLrBEtLS3ExcWxDSTGN8EMUAajkiG0NzIrKwvJyckghMDc3Bx6enpUdJYvX465c+dCXV0dy5cvL/d3ly5dSmUOQsCXZ6Psw0VmZiZyc3OlD1Fv3ryBuro6jIyMKl0emxDeI749kSWoqqri/v37cn/vx48fw9LSkvNqnkBxQZUWLVpQKcJWHu/fv4eHhwf8/f2lmxkSiQRjxozBtm3boK6uzonO97B2+Mx3/S/069cPPj4+qFmzJm+a2traiImJ4dXo5Uq3evXquHTp0mdD1OPi4tCtWzdkZWX9Zw1FiMVi2Nvby1TsP3XqFHr27AkNDQ3pmNDfJ8aPB6uCy2BQQoh2KABgbGyMqKgouLu7Y+HChQq9kTRDYfX09HhpS1LaqKxMBuaX4KuSZ2nPV2BgIP744w/4+PhINzQePnyIiRMnSnODaHDo0CEcPnyYd08k39VSAWD37t0IDAyUG7eyssKoUaOoGaB169ZFZGSknNEUGRmJWrVqUdE0NzfHihUrEBkZiVatWsk8yAL0vIJ8tbr5HtaOrq4uHBwcqJ3/c0gkEqSlpckVCHv16hWMjIykET9ce+oqglD+Fi50hWj9Aiiuvuvi4sK5DqPqwTygDAYlBg0ahB49enx2l3/r1q0IDw/H8ePHqc2BL28kgz+E8GyYmZkhODgYLVu2lBm/desWhg8fTiVMExAuj02IayyEJxIA1q5di7Vr12LdunXo2bMngOI2EvPmzcPs2bOxcOFCzjXLC92jWRnWwMBArtUNUNxP0tHRkUqrKKHWjlCIxWKkp6fLGaAvXryAmZkZp8XvvhYhwn650m3WrBlmzpz52UJavr6+2Lx5M+Li4v6zBoPBJ8wDymBQIjY2FmvWrPns8T59+mD9+vVU58CXN1JoCgsLsWnTJhw+fBhPnz5Ffn6+zPHXr18LNDPuEcKzkZaWhoKCArnxwsJCZGRkUNMVwhMJCHONhfBEAsDcuXPx6tUr/PLLL9J1o6qqivnz51MxPgEIZnTl5uYqjP4wMjJCbm4uFU2h1k4JtPNdSyjJexWJRHL9TwsLC3H58mU0adKEinZVYNy4cZgzZw6MjY0Vtn6ZN28eFi1aJNDsGIyvh3lAGQxKCNEOpari6ekJb29vzJ49G7/++isWL16M1NRUnDhxAp6entRC+qoKAwcOxPPnz+Ht7Q0bGxsAxR6cSZMmoXbt2l9V9flr+N7z2LhECE9kaXJycnD//n2oqanB3NxcJueLS65evYpTp04hPz8ftra2sLOzo6KjCCFa3Qi1dvjKdy2hZOPkyZMnqFOnDiQSifSYsrIyTExMsGLFCrRr145T3a/hR/aACtX6hcGgBTNAGQxKCNEOpapiZmaGrVu3on///tDS0kJMTIx07OrVqwpz6350+PJslGi5uroiJCREagQWFBSgb9++8PPzkwu34wqh+zbyeY0JIViwYAG2bt0q54n09PSkpssnwcHBGDlyJNTU1FCtWjW8ffsWa9aswZw5c3jRF6LVjVBrx83NDf/88w+2b98ul+/au3dvzvJdy9KjRw8cO3bsu0z3+JEN0BL4bP3CYNCEGaAMBiWEaodSFdHQ0MD9+/dRr1491KxZE6dPn4aNjQ0eP36Mli1bIjs7W+gpcgbfno3SJCYmSluENGnS5LvtMfitCHmN+fJECkGrVq3Qpk0b7NixAxKJBF5eXli3bh2vIfJCtLoB+F87QuS7fu8IUXlXKF2hWs4wGBWFGaAMBiWEbodSlWjcuDH8/f3Rrl07dO7cGQMGDMCCBQsQFBQEDw8PvHz5UugpcoZQng0h4dMTCVTNa8wHmpqaiImJkaYl5OfnQ0NDA8+fP6fmCSyNUK1uhEBdXR23bt2ChYWFzPi9e/fQtm1bvH//noouIQTBwcEIDw9X2LuXRth8RSvvVhbdiiBUyxkGo6IwA5TBoMiTJ0/g7u6Oc+fOKWyHwho5c8OCBQugra2NRYsWISgoCC4uLjAxMcHTp08xc+ZM/P7770JPkTOE8GwUFhbCz88PoaGhCh8qw8LCONcEhPNEMu8RHRRVSOUzLNLExASBgYHo2LGjzPi1a9cwatQoKsWRhFo7QuS7AsD06dOxe/du9OjRA8bGxnLFw2iEzQtVeZdV/GUw/jusCi6DQZH69evjzJkzrB0KZUobmCNHjkS9evUQHR0Nc3NzDBw4UMCZcY8QlTynT58OPz8/9O/fH02bNuWtIi1ffRvLIsQ1riqUrZBaUFAAPz8/GBgYSMdoFQ1LT09XGAZpaGiItLQ0KppCrZ3NmzfDzs4OderUUZjvSov9+/fj2LFjvPTuFaryLqv4y2B8O8wDymAwGD8QQng2DAwM4O/vz8tDZVldITyRQnmPKjsmJiZfNMBo9gE1NzfH0qVL4eLiIjO+f/9+LF26lIquUGsHECbftUGDBjh79iwvBphQlXdZxV8G49thHlAGg/FD8jXtCwYNGkRxJvwihGdDWVn5s+2EaCKUJ1Io71FlJzU1VVD9iRMnYsaMGfj06ZPCVjc0EGrtlOS7Tpw4UWacdr7rsmXLsHz5cvj6+lIv7FQSMs135V2hdBmMygTzgDIYjB+SivY7E4lEghaDoAHfno0NGzbg8ePH2L59O28hhICwnkihqqUy6CFEqxuh1o4Q+a5A8fp0cHBAZGQkTExM5Hr33r59m4ouQxbmAWV87zADlMFgMH4ghKjk6eDggPDwcFSvXh1WVlZyD5U0KlsCwvRtBKpWtVS++Jp2U7RyQEvgs9WNUGtHVVUV9+/flyt09/jxY1haWuLDhw9UdB0dHREeHo7hw4crLEK0dOlSzjWFqLwrpG5FEKrlDINRUVgILoPB+GEJCwvD1KlTcfXqVWhra8scy87ORseOHbFr1y506dJFoBlyz+7duxEYGCg3bmVlhVGjRlExjnR1deHg4MD5eb+EtbU1kpKSZDyRTk5O1D2RQlzjys6mTZtk3mdmZiI3N1fap/DNmzdQV1eHkZERdQNUU1MTbdq0oapRglBrp27duoiMjJQzQCMjI1GrVi1quqdPn8a5c+fQuXNnahplmTFjRrmVdyuTbkVbv5w5c4b6XBiMb4EZoAwG44dl8+bNmDhxopzxCQA6Ojpwc3PDxo0bK5UBKkQlTxqtEyqCUHlsQlzjyk7pkM/AwED88ccf8PHxkfZHfvjwISZOnAg3NzehpkgFodaOEPmuQLHhq+h+TBM+K+8Krfu5oMWPHz9CWVmZt3kwGN8KM0AZDMYPS2xsLNasWfPZ43369MH69et5nBF9hPJsAMVeq4cPHwIAGjduDENDQ6p6QnkihbzGVYElS5YgODhYanwCxd+nTZs2Yfjw4XB2dhZwdnTge+3MnTsXr169wi+//CKX77pw4UJquhs2bMC8efOwa9cumJiYUNMpjY6OjiC5jnzqstYvjMoGM0AZDMYPS0ZGhlxOVWmUlJSoteoQCiE8G+/fv4eHhwf8/f2leU4SiQRjxozBtm3boK6uTkVXKE+kUN6jqkJaWhoKCgrkxgsLC5GRkSHAjOgh1NoRiURYs2YNlixZwlu+KwC4uLggNzcXZmZmUFdXl7s/v379mnNNPivvCqVbEsJOCMGuXbsUtn7ZtWsX1TkwGFzCDFAGg/HDUrt2bcTHx3+2zUFcXFylK8IghGdj1qxZuHTpEk6dOoVOnToBACIiIjBt2jTMnj0bO3fupKIrlCdSKO9RVcHW1hZubm7w9vaGjY0NAODWrVtwd3dHr169BJ4dtwi1dkrgM98VKE6L4BtHR0ccPHgQRkZGvFbe5VOXtX5hVDZYFVwGg/HD4uHhgYsXL+LGjRvSNh0l5OXloW3btujRo8dXVeD8UeCzkqeBgQGCg4PRvXt3mfHw8HA4OjpS8zKvXbsWa9euxbp16xR6Imkbg3xe46pEZmYmXF1dERISIn1oLygoQN++feHn5ydXYOVHRqi18z3y+vVrVK9enfPzClF5V0hdBqMywAxQBoPxw5KRkQEbGxtIJBJMnTpVmlP24MED7NixA4WFhbh9+zaMjY0FnumPjbq6Om7dugULCwuZ8Xv37qFt27Z4//49FV0h+jYy+CMxMVFa3bhJkyZo1KiRwDPiHqHWzvfE+fPn4e3tjVOnTiEvL4/z82toaPBeeVco3e+59QuD8TUwA5TBYPzQPHnyBO7u7jh37py0QqBIJELfvn2xY8cOufBNxtdja2sLfX19+Pv7Sz3NeXl5cHV1xevXr/HPP/9Q1WeeSMaPitBrRyiePHkCX19f7Nu3D1lZWbC3t8ewYcMwYsQIzrWaNGmCw4cPo1mzZpyf+3vTnT59ermtX4SqusxgfC3MAGUwGJWCrKwsJCcngxACc3NzliPDIXfv3oWdnR0+fvyI5s2bAyiuQKyiooLz58/DyspK4BkyfiQKCwvh5+eH0NBQhV6csLAwgWbGPVVp7eTn5+PYsWPw9vZGZGQkevXqhbNnz+LOnTuwtrampnv69Gls27aN18q7QulWr14dBw4c4L3lDIPBNcwAZTAYDMYXyc3NRUBAgDRk0sLCAs7OzrxWnWRUDqZOnQo/Pz/0798fNWvWlPPilFT8rCxUhbXj4eGBgwcPwtzcHC4uLhg1ahT09fVRrVo1xMbGwtLSkpq2np4ecnNzUVBQwFvlXaF0GzRogLNnz7KWK4wfHmaAMhgMBqNcvLy8YGxsjPHjx8uM+/r6IjMzk1o/TkblxMDAAP7+/lXCi1NV1o6SkhLmz5+PBQsWQEtLSzrOhwG6b9++co+7urpWGt19+/YhJCSE95YzDAbXMAOUwWAwGOViYmKCwMBAdOzYUWb82rVrGDVqlLRFAINREWrVqoWLFy9WyqJDZakqa+fgwYPw9fVFdHQ0+vfvj59++gn29vZQVVWlboCWB63Ku0Lp5uXlwcHBAZGRkby2nGEwuIb1AWUwGAxGuaSnpyvsp2poaIi0tDQBZsT4kZk9eza2bNmC7du3y4XfVjaqytpxcnKCk5MTUlJS4OfnhylTpiA3NxdFRUVISEjg3QClXXlXKF1XV1fcunULLi4uCosQMRg/CswAZTAYDEa51K1bF5GRkXIVhSMjI1GrVi2BZsX4UYmIiEB4eDjOnj0LKysrOS9OZWolUdXWToMGDbB8+XIsW7YM58+fh4+PD1xcXDBjxgwMHTqUak9mRZV3/f39qekJoXv69GlBWs4wGFzDDFAGg8FglMvEiRMxY8YMfPr0CT179gQAhIaGYt68eZg9e7bAs2P8aOjq6sLBwUHoafBCVV07Ja2w+vbti9evX8Pf359KixBFlXefPXtGvfKuULp169aFtrY2tfMzGHzBckAZDAaDUS6EECxYsABbt25Ffn4+AEBVVRXz58+Hp6enwLNjML5fqvraKSwsxN27d1G/fn3OW2MJVXlXyIq/QrWcYTC4hhmgDAaDwagQOTk5uH//PtTU1GBubg4VFRWhp8T4gcnMzMTDhw8BAI0bN4ahoaHAM6JHVVk7M2bMgLW1NSZMmIDCwkJ07doV0dHRUFdXx99//43u3btzpiVU5V0hK/4K1XKGweAaFoLLYDAYjAqhqamJNm3aCD0Nxg/O+/fv4eHhAX9/fxQVFQEAJBIJxowZg23btkFdXV3gGXJPVVk7wcHBcHFxAQCcOnUKqampePDgAfbv34/FixcjMjKSM639+/fD19cXNWvWlKm8SxuhdAFg8+bNvOgwGLRhHlAGg8FgMBi84ebmhn/++Qfbt29Hp06dABQXJpo2bRp69+6NnTt3CjxDxn9FVVUVycnJqFOnDiZNmgR1dXVs3rwZKSkpaN68Od6+fcu5ZknlXT8/P+Tm5uL169cICgrC8OHDOdf6HnQ/h1AtZxiM/wIzQBkMBoPBYPCGgYEBgoOD5cIxw8PD4ejoiMzMTGEmxvhm6tevjz///BO2trZo0KABdu7cif79++PevXvo3LkzsrKyqGkTQqSVd0+ePAkDAwPqlXeF1C1BqJYzDMa3wEJwGQwGg8Fg8EZubi6MjY3lxo2MjJCbmyvAjBhcMW7cODg6OqJmzZoQiUTo1asXAODatWto0qQJVW2+Ku9+D7pCtZxhMLiCeUAZDAaDwWDwhq2tLfT19eHv7w9VVVUAQF5eHlxdXfH69Wv8888/As+Q8S0EBwfj33//xYgRI1CnTh0AwL59+6Crq4vBgwdT16dZeVdIXUWtX86ePUu99QuDQQNmgDIYDAaDweCNu3fvws7ODh8/fkTz5s0BALGxsVBRUcH58+dhZWUl8AwZPxJ8Vt4VSlfI1i8MBg2YAcpgMBgMBoNXcnNzERAQgAcPHgAALCws4OzsDDU1NYFnxvhWQkNDERoaipcvX0qrHJfg6+vLuV6dOnVw4sQJtG7dGidOnMCUKVMQHh6O/fv3IywsjNPKu0LpCtn6hcGgAcsBZTAYDAaDwRteXl4wNjbGxIkTZcZ9fX2RmZmJ+fPnCzQzxreyfPlyrFixAq1bt5bmgdLmf//7H2rUqAEAOHPmDEaMGIFGjRph/Pjx2LJlS6XQFbL1C4NBA2aAMhgMBoPB4I3du3cjMDBQbtzKygqjRo1iBugPzK5du+Dn54effvqJN01jY2MkJCSgZs2aCAkJkbbxyc3NhUQiqRS6Tk5OcHJykrZ+mTJlCnJzc1FUVISEhATmAWX8cIiFngCDwWAwGIyqQ3p6OmrWrCk3bmhoiLS0NAFmxOCK/Px8dOzYkVfNksq7TZs25bXyrhC6DRo0wPLly5GamooDBw5g2LBhcHFxQZ06dTBt2jQqmgwGDZgHlMFgMBgMBm/UrVsXkZGRaNCggcx4ZGQkatWqJdCsGFzw888/IzAwEEuWLOFNc9myZWjatKm08q6KigoAQCKRYMGCBZVOFxCu5QyDwRWsCBGDwWAwGAzeWLt2LdauXYt169ahZ8+eAIoL18ybNw+zZ8/GwoULBZ4h478yffp0+Pv7o1mzZmjWrBmqVasmc3zjxo0CzaxyIlTLGQbjW2EGKIPBYDAYDN4ghGDBggXYunUr8vPzAQCqqqqYP38+PD09BZ4d41vo0aNHucfDw8Op6PJdeVcoXaFazjAYXMMMUAaDwWAwGLyTk5OD+/fvQ01NDebm5tIQRgbja/hS5d3jx49XGl2hWs4wGFzDDFAGg8FgMBgMxn9m6NChX/wdkUiEo0ePcq5ds2ZNrF27ltfKu0LpqqqqIjk5GXXq1MGkSZOgrq6OzZs3IyUlBc2bN8fbt295mwuD8S2wIkQMBoPBYDAYjP+Mjo6OYNpCVN4VSleoljMMBtcwDyiDwWAwGAwG44dk/vz50NTU5LXyrlC6y5Ytw+bNm1GzZk3k5uYiMTERKioq8PX1xZ9//ono6Gje5sJgfAvMA8pgMBgMBoPB+CH58OED9uzZg3/++YfXyrtC6ArZ+oXB4BLmAWUwGAwGg8Fg/JAIVXlXKF0GozLADFAGg8FgMBgMBuMHQKiWMwwGl7AQXAaDwWAwGAzGD4VQlXeFrPj7pdYvDMaPAjNAGQwGg8FgMBg/FEJV3hWy4u+uXbvg5+fHe8sZBoNrWAgug8FgMBgMBoPxnaOvr4/r16/DzMxM6KkwGN+EWOgJMBgMBoPBYDAYjPL5+eefERgYKPQ0GIxvhoXgMhgMBoPBYDAY3zlCtZxhMLiGheAyGAwGg8FgMBjfOaz1C6OywAxQBoPBYDAYDAaDwWDwAgvBZTAYDAaDwWAwvlOEbP3CYNCAGaAMBoPBYDAYDMZ3ipCtXxgMGrAQXAaDwWAwGAwGg8Fg8AJrw8JgMBgMBoPBYDAYDF5gBiiDwWAwGAwGg8FgMHiBGaAMBoPBYDAYDAaDweAFZoAyGAwGg8FgMBgMBoMXmAHKYDAYDAaDwWAwGAxeYAYog8FgMBgMBoPBYDB4gRmgDAaDwWAwGAwGg8Hghf8Hhzmebz3cZREAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "corrs = df_train.corr()\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(10, 8))\n",
        "\n",
        "plot = sns.heatmap(corrs, vmin = -1, vmax = 1,\n",
        "                   cmap=\"BrBG\", annot=False, ax=ax)\n",
        "plot.set_yticklabels(plot.get_yticklabels(), rotation=0)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pYRRR8ci8TPB"
      },
      "source": [
        "##### **Discussion**\n",
        "\n",
        "Following are my four main findings from this heatmap:\n",
        "\n",
        "###### **(1)**\n",
        "There appears to be a cluster of attributes that are all either moderately or strongly intercorrelated:\n",
        "  - Average claim amount, *Claim_AmtAvg*.\n",
        "  - Share of inpatient claims, *Claim_IPShare*.\n",
        "  - Average claim length, *Claim_LengthAvg*.\n",
        "  - Average inpatient annual reimbursement amount, *InsAmt_IP_ReimbAvg*.\n",
        "  - Average inpatient annual deductible amount, *InsAmt_IP_DeductAvg*.\n",
        "\n",
        "It strikes me that all of these attributes might be strongly related to inpatient matters. This even goes for the two attributes that might not nominally reflect those ties, like *AvgClaimLength* and *AvgClaimAmt*.\n",
        "\n",
        "To speculate on how these latter two might relate to inpatients: higher claim lengths might correspond to longer hospital stays, which might mostly consist of inpatient admissions. And stays get costlier as they lengthen, as might the claim amounts.\n",
        "\n",
        "\n",
        "###### **(2)**\n",
        "The average annual amounts for reimbursements and deductibles for a given patient type are highly correlated, for both the inpatient and outpatients types.\n",
        "\n",
        "\n",
        "###### **(3)**\n",
        "*Claim_AmtTotal* and *Claim_Count* are moderately correlated to each other and also to the target, *PotentialFraud*. The former correlation is expected, but still worth noting. In fact, if those two predictors are correlated strongly enough, I might well omit *Claim_Count* in a scenario of correlation-based feature selection.\n",
        "\n",
        "###### **(4)**\n",
        "*PotentialFraud* appears to be weakly correlated to both the chronic condition prevalence attributes (those starting with *condPrev_*) and the outpatient insurance amount attributes (those two starting with *InsAmt_OP*.)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rnSmSfAkb3Wf"
      },
      "source": [
        "#### **Correlations to the Target**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 711
        },
        "id": "AjzgiW_Y4jU1",
        "outputId": "43337736-fab9-4b78-b0a1-4a1c9853c4f9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Claim_AmtTotal         0.560134\n",
              "Claim_Count            0.346966\n",
              "Claim_IPShare          0.207715\n",
              "Claim_AmtAvg           0.202383\n",
              "Claim_LengthAvg        0.155963\n",
              "InsAmt_IP_ReimbAvg     0.129567\n",
              "InsAmt_IP_DeductAvg    0.126248\n",
              "condPrev_KidneyD       0.068940\n",
              "condPrev_ObstrP        0.046740\n",
              "condPrev_HeartF        0.042842\n",
              "condPrev_Stroke        0.037821\n",
              "condPrev_Diab          0.032360\n",
              "InsAmt_OP_DeductAvg    0.032155\n",
              "condPrev_IschemicH     0.030249\n",
              "condPrev_Alz           0.029709\n",
              "condPrev_Rheuma        0.028214\n",
              "condPrev_Depr          0.027590\n",
              "InsAmt_OP_ReimbAvg     0.015831\n",
              "condPrev_Osteo         0.012570\n",
              "condPrev_Cancer        0.007495\n",
              "Name: PotentialFraud, dtype: float64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>PotentialFraud</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Claim_AmtTotal</th>\n",
              "      <td>0.560134</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Claim_Count</th>\n",
              "      <td>0.346966</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Claim_IPShare</th>\n",
              "      <td>0.207715</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Claim_AmtAvg</th>\n",
              "      <td>0.202383</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Claim_LengthAvg</th>\n",
              "      <td>0.155963</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InsAmt_IP_ReimbAvg</th>\n",
              "      <td>0.129567</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InsAmt_IP_DeductAvg</th>\n",
              "      <td>0.126248</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_KidneyD</th>\n",
              "      <td>0.068940</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_ObstrP</th>\n",
              "      <td>0.046740</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_HeartF</th>\n",
              "      <td>0.042842</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Stroke</th>\n",
              "      <td>0.037821</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Diab</th>\n",
              "      <td>0.032360</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InsAmt_OP_DeductAvg</th>\n",
              "      <td>0.032155</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_IschemicH</th>\n",
              "      <td>0.030249</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Alz</th>\n",
              "      <td>0.029709</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Rheuma</th>\n",
              "      <td>0.028214</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Depr</th>\n",
              "      <td>0.027590</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InsAmt_OP_ReimbAvg</th>\n",
              "      <td>0.015831</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Osteo</th>\n",
              "      <td>0.012570</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Cancer</th>\n",
              "      <td>0.007495</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "# Listing the absolute values of predictors' correlations to the target, in\n",
        "# descending order.\n",
        "abs(corrs['PotentialFraud'])[:-1].sort_values(ascending=False)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S8rFsYyG1kIf"
      },
      "source": [
        "##### **Discussion**\n",
        "\n",
        "The two highest correlations to the target attribute *PotentialFraud* are those of *Claim_AmtTotal* and *Claim_Count*, which show 0.5601 and 0.3470, respectively.\n",
        "\n",
        "The rest of the attributes have fairly weak correlations to the target, though five of their's range between 0.12 and 0.21.\n",
        "\n",
        "This table underscores the fourth finding from the previous sections, that the target correlations of the chronic condition and outpatient insurance attributes are uniformly very low. They are low enough that, in a correlation-based feature selection, I would omit them all."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2oAMAUJmAmqW"
      },
      "source": [
        "#### **Identifying the higher correlations between predictors**\n",
        "\n",
        "In correlation-based feature selection, if any predictors are too strongly intercorrelated, then one or more of them should be omitted.\n",
        "\n",
        "In this subsection, I set a correlation threshold at 0.4 and programmatically identify the intercorrelations that surpass it."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9JZFFo975l-E"
      },
      "source": [
        "##### **Function for identifying high correlations**\n",
        "\n",
        "Instead of manually searching for high correlations in the expansive result of a `pandas.DataFrame.corr()` call, I here define a function to identify them programmatically.\n",
        "\n",
        "Much of its code comes from a *Medium.com* contributor **Yatharth Ranjan**, who featured it in a piece, linked here:\n",
        "https://medium.com/@yatharthranjan/finding-top-correlation-pairs-from-a-large-number-of-variables-in-pandas-f530be53e82a\n",
        "\n",
        "I have made some additions to it, mainly the heatmap that visualizes only the predictors that have at least one correlation above the threshold. I also altered the function so that it no longer returns a table of the exceeding correlations, but instead prints them uniquely in descending order.\n",
        "\n",
        "In the code cell following this function's definition, I call it to identify the predictor correlations that exceed `0.4`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "sto4gv8i82Tc"
      },
      "outputs": [],
      "source": [
        "def get_high_corrs(df, threshold=0.4):\n",
        "  i = 0\n",
        "  pairs = set()\n",
        "  result = pd.DataFrame()\n",
        "  orig_corr = df.corr()\n",
        "  c = orig_corr.abs()\n",
        "  so = c.unstack()\n",
        "\n",
        "  high_corr_attrs = set()\n",
        "\n",
        "  print(f'UNIQUE CORRELATIONS EXCEEDING {threshold}',\n",
        "        f', sorted by correlation value:\\n')\n",
        "  print(f'PAIR{\" \"*53}CORRELATION VALUE')\n",
        "  for index, value in so.sort_values(ascending=False).items():\n",
        "      if value > threshold \\\n",
        "      and index[0] != index[1] \\\n",
        "      and (index[0], index[1]) not in pairs \\\n",
        "      and (index[1], index[0]) not in pairs:\n",
        "          high_corr_attrs.add(index[0])\n",
        "          high_corr_attrs.add(index[1])\n",
        "          alpha_sorted_pair = sorted([index[0], index[1]])\n",
        "          pairs.add(index)\n",
        "          result.loc[i, ['Variable 1', 'Variable 2', 'Correlation Coefficient']] = [alpha_sorted_pair[0], alpha_sorted_pair[1], orig_corr.loc[(index[0], index[1])]]\n",
        "          i += 1\n",
        "          og_value = orig_corr.loc[(alpha_sorted_pair[0], alpha_sorted_pair[1])]\n",
        "          formatted_attribute_pair = f'{alpha_sorted_pair[0]} & {alpha_sorted_pair[1]}'\n",
        "          attr_pair_str_len = len(formatted_attribute_pair)\n",
        "          print_buffer = (56 - attr_pair_str_len) * ' '\n",
        "          print(f'{formatted_attribute_pair}:{print_buffer}{round(og_value, 4)}')\n",
        "  print('\\n')\n",
        "\n",
        "  high_corr_attrs = sorted(list(high_corr_attrs))\n",
        "  high_corr_df = df[high_corr_attrs].corr()[df[high_corr_attrs].corr().abs() > 0.4]\n",
        "\n",
        "  # # Print the unstacked (and non-unique) correlations exceeding the threshold\n",
        "  # print(f'NON-UNIQUE CORRELATIONS EXCEEDING {threshold}, ',\n",
        "  #       f'sorted by attribute name:\\n')\n",
        "  # print(high_corr_df[high_corr_df != 1].unstack().dropna().sort_index())\n",
        "\n",
        "  # Plotting a correlation heatmap of only these attributes which show at least\n",
        "  # one intercorrelation higher than the threshold.\n",
        "  sns.heatmap(high_corr_df, vmin = -1, vmax = 1, cmap=\"BrBG\", annot=True)\n",
        "  plt.title(f\"Predictor Intercorrelations Exceeding {threshold}\")\n",
        "  plt.show()\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 928
        },
        "id": "yaJ4pKua53OG",
        "outputId": "ee44d141-caca-49aa-ff7e-12c7afa229ee"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "UNIQUE CORRELATIONS EXCEEDING 0.4 , sorted by correlation value:\n",
            "\n",
            "PAIR                                                     CORRELATION VALUE\n",
            "Claim_AmtAvg & Claim_IPShare:                            0.8462\n",
            "InsAmt_OP_DeductAvg & InsAmt_OP_ReimbAvg:                0.8313\n",
            "InsAmt_IP_DeductAvg & InsAmt_IP_ReimbAvg:                0.7419\n",
            "Claim_IPShare & InsAmt_IP_DeductAvg:                     0.7068\n",
            "Claim_AmtAvg & InsAmt_IP_ReimbAvg:                       0.7014\n",
            "Claim_IPShare & Claim_LengthAvg:                         0.6493\n",
            "Claim_AmtAvg & Claim_LengthAvg:                          0.646\n",
            "Claim_IPShare & InsAmt_IP_ReimbAvg:                      0.6269\n",
            "Claim_AmtAvg & InsAmt_IP_DeductAvg:                      0.5978\n",
            "Claim_AmtTotal & Claim_Count:                            0.4992\n",
            "Claim_LengthAvg & InsAmt_IP_DeductAvg:                   0.4752\n",
            "Claim_LengthAvg & InsAmt_IP_ReimbAvg:                    0.4746\n",
            "InsAmt_IP_DeductAvg & condPrev_KidneyD:                  0.4032\n",
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "get_high_corrs(X_train)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rt0-KeZNQDiM"
      },
      "source": [
        "<a name=\"cfs\"></a>\n",
        "### **Correlation-Based Feature Selection (CFS)**\n",
        "\n",
        "Using the above findings, I will now manually perform correlation-based feature selection. This involves the inclusion or exclusion of attributes based on the following dual objectives:\n",
        "  1. Keeping in features that are highly correlated to the target.\n",
        "  2. Removing features that are highly correlated to others.\n",
        "\n",
        "For helpful reference for this process, I am again listing the predictors' correlations to the target:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 711
        },
        "id": "dfzz1hGFQ8XR",
        "outputId": "1fed10dc-3206-480c-f173-40b21688f916"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Claim_AmtTotal         0.560134\n",
              "Claim_Count            0.346966\n",
              "Claim_IPShare          0.207715\n",
              "Claim_AmtAvg           0.202383\n",
              "Claim_LengthAvg        0.155963\n",
              "InsAmt_IP_ReimbAvg     0.129567\n",
              "InsAmt_IP_DeductAvg    0.126248\n",
              "condPrev_KidneyD       0.068940\n",
              "condPrev_ObstrP        0.046740\n",
              "condPrev_HeartF        0.042842\n",
              "condPrev_Stroke        0.037821\n",
              "condPrev_Diab          0.032360\n",
              "condPrev_IschemicH     0.030249\n",
              "condPrev_Alz           0.029709\n",
              "condPrev_Rheuma        0.028214\n",
              "condPrev_Depr          0.027590\n",
              "condPrev_Osteo         0.012570\n",
              "condPrev_Cancer        0.007495\n",
              "InsAmt_OP_ReimbAvg    -0.015831\n",
              "InsAmt_OP_DeductAvg   -0.032155\n",
              "Name: PotentialFraud, dtype: float64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>PotentialFraud</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Claim_AmtTotal</th>\n",
              "      <td>0.560134</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Claim_Count</th>\n",
              "      <td>0.346966</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Claim_IPShare</th>\n",
              "      <td>0.207715</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Claim_AmtAvg</th>\n",
              "      <td>0.202383</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Claim_LengthAvg</th>\n",
              "      <td>0.155963</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InsAmt_IP_ReimbAvg</th>\n",
              "      <td>0.129567</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InsAmt_IP_DeductAvg</th>\n",
              "      <td>0.126248</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_KidneyD</th>\n",
              "      <td>0.068940</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_ObstrP</th>\n",
              "      <td>0.046740</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_HeartF</th>\n",
              "      <td>0.042842</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Stroke</th>\n",
              "      <td>0.037821</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Diab</th>\n",
              "      <td>0.032360</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_IschemicH</th>\n",
              "      <td>0.030249</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Alz</th>\n",
              "      <td>0.029709</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Rheuma</th>\n",
              "      <td>0.028214</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Depr</th>\n",
              "      <td>0.027590</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Osteo</th>\n",
              "      <td>0.012570</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>condPrev_Cancer</th>\n",
              "      <td>0.007495</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InsAmt_OP_ReimbAvg</th>\n",
              "      <td>-0.015831</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InsAmt_OP_DeductAvg</th>\n",
              "      <td>-0.032155</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "corrs['PotentialFraud'][:-1].sort_values(ascending=False)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1u076IFmQ-K7"
      },
      "source": [
        "#### **Feature Removal I**: Low correlation with target\n",
        "\n",
        "I am removing the following features because their correlations to the target are too low:\n",
        "  - All chronic condition features (which are those with prefix *condPrev_*.)\n",
        "\n",
        "  - The outpatient annual insurance amounts, *InsAmt_OP_ReimbAvg* and *InsAmt_OP_DeductAvg*.\n",
        "\n",
        "Implementing this feature selection in a temporary dataframe `df_cbfs_1`:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "TNXrXzK2FZXe"
      },
      "outputs": [],
      "source": [
        "condprev_attrs = [x for x in df_train.columns if 'condPrev_' in x]\n",
        "low_corr_attrs = condprev_attrs + ['InsAmt_OP_ReimbAvg', 'InsAmt_OP_DeductAvg']\n",
        "\n",
        "df_cbfs_1 = df_train.drop(low_corr_attrs, axis=1)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_t8zyNY0SPKu"
      },
      "source": [
        "#### **Reexamining the remaining correlations**\n",
        "\n",
        "Having removed numerous features in the previous step, I return to analysis by reviewing the intercorrelations of the remaining features:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "jxx3XLUKQ38X"
      },
      "outputs": [],
      "source": [
        "corr_cbfs_1 = df_cbfs_1.corr()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "E-lF8jmMH2EQ"
      },
      "source": [
        "Re-printing correlations to the target for these remaining attributes, in descending order:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 303
        },
        "id": "6xSRrFrSUjIu",
        "outputId": "978b8447-42ef-4ac6-b218-744239ae5668"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Claim_AmtTotal         0.560134\n",
              "Claim_Count            0.346966\n",
              "Claim_IPShare          0.207715\n",
              "Claim_AmtAvg           0.202383\n",
              "Claim_LengthAvg        0.155963\n",
              "InsAmt_IP_ReimbAvg     0.129567\n",
              "InsAmt_IP_DeductAvg    0.126248\n",
              "Name: PotentialFraud, dtype: float64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>PotentialFraud</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Claim_AmtTotal</th>\n",
              "      <td>0.560134</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Claim_Count</th>\n",
              "      <td>0.346966</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Claim_IPShare</th>\n",
              "      <td>0.207715</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Claim_AmtAvg</th>\n",
              "      <td>0.202383</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Claim_LengthAvg</th>\n",
              "      <td>0.155963</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InsAmt_IP_ReimbAvg</th>\n",
              "      <td>0.129567</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InsAmt_IP_DeductAvg</th>\n",
              "      <td>0.126248</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "corr_cbfs_1['PotentialFraud'][:-1].sort_values(ascending=False)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SJH59bMjIGM8"
      },
      "source": [
        "Calling my `get_high_corrs` method to identify any groups of significantly correlated variables:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 903
        },
        "id": "k0OqjD50Tirk",
        "outputId": "0cb594a1-1f4c-419a-fc88-3374a3ac55ea"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "UNIQUE CORRELATIONS EXCEEDING 0.4 , sorted by correlation value:\n",
            "\n",
            "PAIR                                                     CORRELATION VALUE\n",
            "Claim_AmtAvg & Claim_IPShare:                            0.8462\n",
            "InsAmt_IP_DeductAvg & InsAmt_IP_ReimbAvg:                0.7419\n",
            "Claim_IPShare & InsAmt_IP_DeductAvg:                     0.7068\n",
            "Claim_AmtAvg & InsAmt_IP_ReimbAvg:                       0.7014\n",
            "Claim_IPShare & Claim_LengthAvg:                         0.6493\n",
            "Claim_AmtAvg & Claim_LengthAvg:                          0.646\n",
            "Claim_IPShare & InsAmt_IP_ReimbAvg:                      0.6269\n",
            "Claim_AmtAvg & InsAmt_IP_DeductAvg:                      0.5978\n",
            "Claim_AmtTotal & PotentialFraud:                         0.5601\n",
            "Claim_AmtTotal & Claim_Count:                            0.4992\n",
            "Claim_LengthAvg & InsAmt_IP_DeductAvg:                   0.4752\n",
            "Claim_LengthAvg & InsAmt_IP_ReimbAvg:                    0.4746\n",
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "get_high_corrs(df_cbfs_1)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m7e72owiUynj"
      },
      "source": [
        "#### **Feature Removal II: Considering high intercorrelations**\n",
        "\n",
        "I am removing the following predictor attributes because the inflational cost of their high correlation with another predictor outweighs the informational benefit of their correlation to the target:\n",
        "\n",
        "  - ***Claim_AmtAvg***:\n",
        "\n",
        "    Highly or moderately correlated to *Claim_IPShare*, *InsAmt_IP_ReimbAvg*, and *Claim_LengthAvg*, while being inferior to the first of these in correlation to the target.\n",
        "   \n",
        "  - ***InsAmt_IP_DeductAvg*** and ***InsAmt_IP_ReimbAvg***:\n",
        "\n",
        "    Both are moderately correlated to *Claim_IPShare* while substantially less correlated to the target than the latter. Also, these are highly correlated to each other.\n",
        "\n",
        "  - ***Claim_LengthAvg***:\n",
        "      \n",
        "    Moderately correlated to fellow predictor *Claim_IPShare* while having slightly lesser correlation to the target.\n",
        "\n",
        "  - ***Claim_Count***\n",
        "  \n",
        "    Omitting this attribute was a difficult decision, as it shows the second highest correlation to the target. However, its correlation to *Claim_AmtTotal* is high enough that I am opting to exclude it.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1mkre-65rPBd"
      },
      "source": [
        "**Eliminating these variables will result in my final CFS-reduced dataset `cfs_df`:**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "x4uJPS0sV6Mp",
        "outputId": "3b3a2b4c-225a-44d4-c60c-e44e5718ff61"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                Claim_AmtTotal  Claim_IPShare  PotentialFraud\n",
              "Claim_AmtTotal        1.000000       0.248356        0.560134\n",
              "Claim_IPShare         0.248356       1.000000        0.207715\n",
              "PotentialFraud        0.560134       0.207715        1.000000"
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Claim_AmtTotal</th>\n",
              "      <th>Claim_IPShare</th>\n",
              "      <th>PotentialFraud</th>\n",
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              "      <th>Claim_AmtTotal</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.248356</td>\n",
              "      <td>0.560134</td>\n",
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              "      <td>1.000000</td>\n",
              "      <td>0.207715</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PotentialFraud</th>\n",
              "      <td>0.560134</td>\n",
              "      <td>0.207715</td>\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"cfs_df\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"Claim_AmtTotal\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.37763662624673566,\n        \"min\": 0.24835593854989146,\n        \"max\": 1.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          1.0,\n          0.24835593854989146,\n          0.5601337024422359\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Claim_IPShare\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.446156991284643,\n        \"min\": 0.2077147820883901,\n        \"max\": 1.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.24835593854989146,\n          1.0,\n          0.2077147820883901\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PotentialFraud\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3969461176011577,\n        \"min\": 0.2077147820883901,\n        \"max\": 1.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.5601337024422359,\n          0.2077147820883901,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "cfs_df = df_cbfs_1.drop(['Claim_AmtAvg', 'InsAmt_IP_DeductAvg',\n",
        "                         'InsAmt_IP_ReimbAvg', 'Claim_LengthAvg', 'Claim_Count'],\n",
        "                         axis=1)\n",
        "cfs_df.corr()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N9t50wyUZoiN"
      },
      "source": [
        "My manual CFS process has yielded a dataset with only two predictors, which respectively represent providers' claim amount totals and the shares of their claims that were for inpatients."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bWWbBN6usH_0"
      },
      "source": [
        "<a name=\"exp-viz\"></a>\n",
        "### **Visualization**\n",
        "\n",
        "#### *Do attributes' distributions differ considerably by the target's state?*"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c2wR_XAbuLsV"
      },
      "source": [
        "I am now putting aside this reduced dataset `cfs_df` that I formed in the previous section, and returning to the fully-featured one from just earlier, `df_train`.\n",
        "\n",
        "Now, by leveraging techniques of data visualization, I will now try to identify which predictors might distribute very differently between the two states of the target, _PotentialFraud_. This might shed more light on the attributes' informative value, in addition to the correlation analysis just conducted.\n",
        "\n",
        "To compare how an attribute distributes differently depending on its _PotentialFraud_ status, I will visualize in small multiples of violin plots."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6tksAnhcsZ-T"
      },
      "source": [
        "#### **Claim Attributes**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F177n8H2vxV7"
      },
      "source": [
        "My first set of violin plots focuses on the attributes that relate to claim information.\n",
        "\n",
        "I have named such attributes to contain the substring of 'Claim' or 'Clm', and thusly identify them:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "S5lwG_LHnmzh",
        "outputId": "3acc99ec-b1f2-4dc3-f015-ccb646dbc25e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Claim_Count',\n",
              " 'Claim_AmtTotal',\n",
              " 'Claim_AmtAvg',\n",
              " 'Claim_IPShare',\n",
              " 'Claim_LengthAvg']"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "clm_flds = [x for x in df_train.columns.tolist() if 'Claim' in x or 'Clm' in x]\n",
        "clm_flds"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 744
        },
        "id": "VplTpPp8m6Ee",
        "outputId": "8e14d897-38c3-47dc-e28a-5eff294b5e8c"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 6 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "fig, axs = plt.subplots(nrows=2, ncols=3, figsize=(12, 8))\n",
        "fig.suptitle('Distribution of Claim Attributes by PotentialFraud', fontsize=20, y=0.94)\n",
        "sns.violinplot(df_train, x =clm_flds[0], hue='PotentialFraud', ax=axs[0][0])\n",
        "sns.violinplot(df_train, x =clm_flds[1], hue='PotentialFraud', ax=axs[0][1])\n",
        "sns.violinplot(df_train, x =clm_flds[2], hue='PotentialFraud', ax=axs[0][2])\n",
        "sns.violinplot(df_train, x =clm_flds[3], hue='PotentialFraud', ax=axs[1][0])\n",
        "sns.violinplot(df_train, x =clm_flds[4], hue='PotentialFraud', ax=axs[1][1])\n",
        "axs[-1,-1].axis('off')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7_lVrtMPQ56R"
      },
      "source": [
        "One attribute here struck me immediately as having the highest-contrasting distributions between potential fraud states: *Prv_Claim_IPShare*. Most of these attributes' unfraudulent distributions are both concentrated around lower values and fairly symmetrical, excepting the sparse tails.\n",
        "\n",
        "But the distribution of *Prv_Claim_IPShare* for the potentially fraud cases isn't symmetrical at all. And it swells far past its unfraudulent counterpart, with much support throughout that extension.\n",
        "\n",
        "This phenomenon might support what was determined in the preceding correlation analysis: *Prv_Claim_IPShare* might be an especially important feature in identifying _PotentialFraud_ status.\n",
        "\n",
        "Furthermore, the attributes for claim count, total amount, and average amount (featured in the top row, left to right) appear to also be strongly indicative of potential fraudulence. Their distributions of potentially fraud cases are much more skewed towards higher amounts than the those of the unfraudulent distributions.\n",
        "\n",
        "This might bolster another finding from the correlation analysis: the predictive potential of the *Claim_AmtTotal* attribute."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Nlz3RmfWspHa"
      },
      "source": [
        "#### **Chronic Condition Attributes**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rDGQwEvnx3U-"
      },
      "source": [
        "My next two sets of violin plots focus on the chronic condition attributes. These represent the percentage-wise prevalence of a given chronic condition amongst a provider's patients.\n",
        "\n",
        "I have named such attributes to contain the substring of 'condPrev_', and thusly identify them:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-yHcw1NvsTtL",
        "outputId": "aeec6590-4e6c-48aa-b4a4-5873f20a5c36"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['condPrev_Alz',\n",
              " 'condPrev_HeartF',\n",
              " 'condPrev_KidneyD',\n",
              " 'condPrev_Cancer',\n",
              " 'condPrev_ObstrP',\n",
              " 'condPrev_Depr',\n",
              " 'condPrev_Diab',\n",
              " 'condPrev_IschemicH',\n",
              " 'condPrev_Osteo',\n",
              " 'condPrev_Rheuma',\n",
              " 'condPrev_Stroke']"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ],
      "source": [
        "chronCond = [x for x in df_train.columns.tolist() if 'condPrev_' in x]\n",
        "chronCond"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1U_Gccy_yW5N"
      },
      "source": [
        "There are as many as eleven of these attributes, so I break these out into two subsequent visualizations:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 744
        },
        "id": "m5ZZla17sEst",
        "outputId": "2762cb7b-f87e-4e1a-9ada-daa6f45f92d6"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 6 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "fig, axs = plt.subplots(nrows=2, ncols=3, figsize=(12, 8))\n",
        "fig.suptitle('Distribution of ChronicCond Attributes by PotentialFraud (1)', fontsize=20, y=0.94)\n",
        "sns.violinplot(df_train, x =chronCond[0], hue='PotentialFraud', ax=axs[0][0])\n",
        "sns.violinplot(df_train, x =chronCond[1], hue='PotentialFraud', ax=axs[0][1])\n",
        "sns.violinplot(df_train, x =chronCond[2], hue='PotentialFraud', ax=axs[0][2])\n",
        "sns.violinplot(df_train, x =chronCond[3], hue='PotentialFraud', ax=axs[1][0])\n",
        "sns.violinplot(df_train, x =chronCond[4], hue='PotentialFraud', ax=axs[1][1])\n",
        "sns.violinplot(df_train, x =chronCond[5], hue='PotentialFraud', ax=axs[1][2])\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PptH1GmZU9Us"
      },
      "source": [
        "The main discrepancies that I'm interpreting here are that the unfraudulent distributions are substantially populated at their extremes, while the potentially fraudulent ones are not.\n",
        "\n",
        "Aside from that, the distribution shapes appear to me as pretty similar. I wonder if this might support the correlation analysis' determination that these chronic condition attributes might not be useful in identifying potential fraudulence."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 744
        },
        "id": "R0_S3GjSt-30",
        "outputId": "2227bac8-438e-4b00-9a3d-14bbad9440f9"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 6 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "fig, axs = plt.subplots(nrows=2, ncols=3, figsize=(12, 8))\n",
        "fig.suptitle('Distribution of ChronicCond Attributes by PotentialFraud (2)', fontsize=20, y=0.94)\n",
        "sns.violinplot(df_train, x =chronCond[6], hue='PotentialFraud', ax=axs[0][0])\n",
        "sns.violinplot(df_train, x =chronCond[7], hue='PotentialFraud', ax=axs[0][1])\n",
        "sns.violinplot(df_train, x =chronCond[8], hue='PotentialFraud', ax=axs[0][2])\n",
        "sns.violinplot(df_train, x =chronCond[9], hue='PotentialFraud', ax=axs[1][0])\n",
        "sns.violinplot(df_train, x =chronCond[10], hue='PotentialFraud', ax=axs[1][1])\n",
        "axs[-1,-1].axis('off')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xK_c6T87WS-O"
      },
      "source": [
        "These last five attributes' distributions are consistent with the pattern found just previously, for the first six: the unfraudulent distributions tend to have substantial support on the extreme ends, while the potentially fraudulent ones do not."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SLXudMv2uuxd"
      },
      "source": [
        "#### **Average Annual Insurance Coverage Attributes**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2qmaihR6KF7n"
      },
      "source": [
        "My last set of violin plots focuses on the average annual reimbursements and deductibles of a provider's patients. These are measured separately for inpatients (IP) and outpatients (OP.)\n",
        "\n",
        "I have named such attributes to contain the substring of 'InsAmt_', and thusly identify them:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6xX5WrUMZwoh",
        "outputId": "7c95ea29-054a-42ac-e6b8-ca8dbb9cd47b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Claim_Count',\n",
              " 'Claim_AmtTotal',\n",
              " 'Claim_AmtAvg',\n",
              " 'Claim_IPShare',\n",
              " 'Claim_LengthAvg',\n",
              " 'condPrev_Alz',\n",
              " 'condPrev_HeartF',\n",
              " 'condPrev_KidneyD',\n",
              " 'condPrev_Cancer',\n",
              " 'condPrev_ObstrP',\n",
              " 'condPrev_Depr',\n",
              " 'condPrev_Diab',\n",
              " 'condPrev_IschemicH',\n",
              " 'condPrev_Osteo',\n",
              " 'condPrev_Rheuma',\n",
              " 'condPrev_Stroke',\n",
              " 'InsAmt_IP_ReimbAvg',\n",
              " 'InsAmt_IP_DeductAvg',\n",
              " 'InsAmt_OP_ReimbAvg',\n",
              " 'InsAmt_OP_DeductAvg',\n",
              " 'PotentialFraud']"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "source": [
        "list(df_train.columns)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PcE7YsQlvA2j",
        "outputId": "9d7fd86d-2688-4bf0-9485-4d4d8aac7c60"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['InsAmt_IP_ReimbAvg',\n",
              " 'InsAmt_IP_DeductAvg',\n",
              " 'InsAmt_OP_ReimbAvg',\n",
              " 'InsAmt_OP_DeductAvg']"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ],
      "source": [
        "pat_ins_amt_attrs = [x for x in df_train.columns.tolist() if 'InsAmt_' in x]\n",
        "pat_ins_amt_attrs"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 626
        },
        "id": "GxWY2j6xuuhy",
        "outputId": "ac264129-a51b-40cf-85d8-dda082074b0f"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "fig, axs = plt.subplots(nrows=2, ncols=2, figsize=(12, 8))\n",
        "fig.suptitle(\"Avg. Amounts of a Provider's Patients' Annual Reimb's & Deduct's, by PotentialFraud\", fontsize=20, y=0.94)\n",
        "sns.violinplot(df_train, x =pat_ins_amt_attrs[0], hue='PotentialFraud', ax=axs[0][0])\n",
        "sns.violinplot(df_train, x =pat_ins_amt_attrs[1], hue='PotentialFraud', ax=axs[0][1])\n",
        "sns.violinplot(df_train, x =pat_ins_amt_attrs[2], hue='PotentialFraud', ax=axs[1][0])\n",
        "sns.violinplot(df_train, x =pat_ins_amt_attrs[3], hue='PotentialFraud', ax=axs[1][1])\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hi815HKHMqKB"
      },
      "source": [
        "I am interpreting discrepancies in the distributions of *InsAmt_IP_ReimbAvg* and *InsAmt_IP_DeductAvg*, though they are subtle ones. These inpatient attributes' distributions for the potentially fraud providers swell substantially on the right side of the shape, where higher amounts are represented. These contrast with the distribution shapes of their unfraudulent counterparts, which are more symmetrical and bell-curved.\n",
        "\n",
        "Another difference is that the unfraudulent distributions have much longer tails on the right side, extending to far higher amounts. However, I'm reluctant to interpret much significance from this, as those tails are very sparsely populated."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**This concludes my EDA.**"
      ],
      "metadata": {
        "id": "NKtPQitTKvuB"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "### *Saving objects to file for part #6*"
      ],
      "metadata": {
        "id": "_nFmr18xltsj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "filesave_path = project_dir_path + '/walkthrough/part_5'\n",
        "!mkdir -p {filesave_path}\n",
        "\n",
        "cfs_df.to_pickle(f'{filesave_path}/cfs_df.pkl')"
      ],
      "metadata": {
        "id": "vvwRfn2emDEv"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "accelerator": "TPU",
    "colab": {
      "gpuType": "V28",
      "provenance": [],
      "toc_visible": true,
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}