EMNIST_preprocess.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyOB+iV7NyB1oYOxrQ6Bz1nl",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/FokaKefir/KepKreator/blob/main/EMNIST_preprocess.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Import dependencies"
      ],
      "metadata": {
        "id": "I8naWJUpg5RM"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nCbqfQ8RTM0h"
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Download EMNIST"
      ],
      "metadata": {
        "id": "sVT--mdzg-cM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install emnist\n"
      ],
      "metadata": {
        "id": "LowjmJKVVJl4",
        "outputId": "cfcc546d-0517-432d-c5b1-23822b4dfa99",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting emnist\n",
            "  Downloading emnist-0.0-py3-none-any.whl (7.3 kB)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from emnist) (1.23.5)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from emnist) (2.31.0)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from emnist) (4.66.1)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->emnist) (3.3.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->emnist) (3.4)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->emnist) (2.0.6)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->emnist) (2023.7.22)\n",
            "Installing collected packages: emnist\n",
            "Successfully installed emnist-0.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from emnist import list_datasets\n",
        "list_datasets()"
      ],
      "metadata": {
        "id": "ahG67vcyVKgu",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8fc32a1c-d51d-48a4-c2cc-2e9c353af628"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading emnist.zip: 536MB [00:07, 71.8MB/s]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['balanced', 'byclass', 'bymerge', 'digits', 'letters', 'mnist']"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Import Letters dataset"
      ],
      "metadata": {
        "id": "xASiRIMUhA13"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from emnist import extract_training_samples\n",
        "x_letter_train, y_letter_train = extract_training_samples('letters')\n",
        "x_letter_train = x_letter_train / 255.0"
      ],
      "metadata": {
        "id": "hBdtwxbQYuqK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_letter_train.shape, y_letter_train.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oN0xO-0JnmHQ",
        "outputId": "d3d362c5-4b0a-49ba-e70b-faa91c923706"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((124800, 28, 28), (124800,))"
            ]
          },
          "metadata": {},
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_letter_train.min(), y_letter_train.max()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HDi-wKYSnclG",
        "outputId": "cffa31d0-1845-4bea-892d-c47873ce7af6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1, 26)"
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def decode_letter(num: int):\n",
        "  return chr(96 + num)\n",
        "def encode_letter(letter: str):\n",
        "  return ord(letter) - 96"
      ],
      "metadata": {
        "id": "HiaSOgrHd8fR"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "random_indices = np.random.choice(x_letter_train.shape[0], 9, replace=False)\n",
        "\n",
        "plt.figure(figsize=(10, 10))\n",
        "for i, index in enumerate(random_indices, 1):\n",
        "    plt.subplot(3, 3, i)\n",
        "    plt.imshow(x_letter_train[index], cmap='gray')\n",
        "    plt.title(f\"Label: {decode_letter(y_letter_train[index])}\")\n",
        "    plt.axis('off')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "3OJ6mzFVY9Y6",
        "outputId": "7dee983b-7ea7-4fd0-8d3c-3e533d5f9065"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 9 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Import ByClass dataset"
      ],
      "metadata": {
        "id": "DUumRUfFl1ti"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from emnist import extract_training_samples\n",
        "x_train, y_train = extract_training_samples('byclass')\n",
        "x_train = x_train / 255.0"
      ],
      "metadata": {
        "id": "O63KwP4xl7mf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_train.shape, y_train.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6a9441bd-b0de-4bfe-c457-665dde22bac9",
        "id": "Fv5UNPcynyzn"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((697932, 28, 28), (697932,))"
            ]
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_train.min(), y_train.max()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "011c17c1-7d69-4eb9-f86f-ff32525f5ad4",
        "id": "wFFVFLWel7mg"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(0, 61)"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def decode_byclass(num: int):\n",
        "  if num < 10:\n",
        "    return str(num)\n",
        "  elif 10 <= num <= 35:\n",
        "    return chr(num - 10 + 65)\n",
        "  else:\n",
        "    return chr(num - 36 + 97)"
      ],
      "metadata": {
        "id": "KbtHbwlXmwZP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "inds = []\n",
        "for label in range(y_train.max() + 1):\n",
        "  index = np.where(y_train == label)[0][0]\n",
        "  inds.append(index)"
      ],
      "metadata": {
        "id": "7lvtOrspmH0c"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 15))\n",
        "for i, index in enumerate(inds, 1):\n",
        "    plt.subplot(10, 7, i)\n",
        "    plt.imshow(x_train[index], cmap='gray')\n",
        "    plt.title(f\"Label: {y_train[index]}\")\n",
        "    plt.axis('off')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "d93550a6-ea09-4b97-a348-aed30ce7587c",
        "id": "1jiWPr4WmH0c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1500 with 62 Axes>"
            ],
            "image/png": 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AhTQAAAAAAB6wkAYAAAAAwANqpIEAFxUVpXL+/PlVPnXqlMonT5503cf58+eTfmBIFXnz5lV58ODBKtevX1/lNWvWqLxlyxaV33//fddjbNu2LREjRGqzx4wsWbKonC6d/ujPlCmTypcuXVJ5//79cf5cROTy5csqU4uffNKmTRvnz+1rkRpjsG1jmA9AaLNtv3LlyqVy9uzZVT5y5IjK9tz14sWLSTe4ZMQ30gAAAAAAeMBCGgAAAAAAD1hIAwAAAADgQUDXSNt+qPbv76nBQSiw8zxHjhwqP/bYYyq3b99e5eXLl6v8ww8/uB5j5syZKvNeCR62nrVVq1Yqt2vXTmVbQ126dGmVbX3r2rVrXY85YcIElc+dOxe/wSJF2PrUYsWKqdylSxeVq1atqnLmzJnjvL3dd+G3335T2dc+DPY49NNPP6kcrPs0pE+fXmVbb+5LYmv9/O2Lcccdd6h84cIFlSdOnOi6z2PHjqns7zPAfi7lzJlT5bvvvltlez5mjysLFy50PQafQ0DosJ8jL730kso333yzyh9//LHK06ZNUzlY9mrhG2kAAAAAADxgIQ0AAAAAgAcspAEAAAAA8CCga6RtzzFbm3TmzBmVDx8+rDL1NwgGtt4xd+7cKnfr1k3lUqVKqbx161aVbU0fApu/etcOHTqo/Pjjj6ucJ0+eOO/f1jpmyJBB5f/+97+u29hjqa+6e6QM+/qJiDRq1EjlJ598UuWmTZuqbF9zW1N78ODBOK//6KOPquzrGLNy5UqVV61apXKw1LtZ9ryjfPnyfm+zbt06lf3VJ9v9XwoVKqRyrVq1VL7nnnvivH+7J4aIyPHjx284Xl/sHLB12m3atFHZ1oWfPXtW5UWLFnl6/HATGRmpcoECBVS2e2UkNV/zw76mvvrHe2HnPefowcMeo6Kjo13X6dGjh8p2HwW790O1atVUtsfN7du3q2z3YQgUfCMNAAAAAIAHLKQBAAAAAPCAhTQAAAAAAB6wkAYAAAAAwIOA2mzMbqbQtWtXlW+//XaV7eYIH330kcpz585VmY0NEAjspg12c6m6deuqnCtXLpV37Nih8tdff63y77//7npM5n5gsBvKiIg899xzKj/22GMq582bV2U7f86fP6+y3Whoz549Kt97770qFy9e3DWmmjVrqsxmY6nHbvok4t58qk6dOirbjWAOHTqk8v79+1X+5Zdf4hyD3fDOboQkIpI1a1aVk3tzpGBmN5DLmTOnyi+88ILK9erVi/P+/vnnH5VPnz7tuo6/jXrscaVs2bIqt2/fXmV73LDHHbvZ3OXLl+N8/HBj36P2+e3Tp4/K2bJlS9LHt+cEa9ascV3HbmR66tSpRD3G6tWrVV67dq3Kdo742gDtyJEjcd4GycOep956662u63Tv3l3lTJkyqWw3q7ObXNocqJuLWXwjDQAAAACAByykAQAAAADwgIU0AAAAAAAeBFQRk60TatCggcrVq1dXOUeOHCrbGh9bf5EctRU0mIdXtuaxdu3aKjdt2lTlzJkzq7x48WKV//77b5V91RUhddhayObNm7uu88QTT6icO3fuOO/T1j9OnTpV5X79+qlsa+ztGLJnz+56jIoVK6psfw+Oc8knbdq0KtvXT0SkSZMmKttjhK1PHTlypMorVqxQecOGDSrb2jZb/9yyZUvXmELVyZMnVV63bp3n29j3i60ft89vpUqVVLb7JNj9X3777bc4H9/XGCz7uVStWrU4sz3fssclX3Xa4crX3hh2T58777xTZVtDbe3du1dlexxPnz69yv72LLA18cnB6/myPWcXEZk2bZrKAwYMUPnAgQMJHB2uZz+HqlatqrI9TxXxvXfG9ex+Lva1OnHihJchBgy+kQYAAAAAwAMW0gAAAAAAeMBCGgAAAAAAD1K1RtrW2Ni/ry9durTKWbJkUdnWfNgaD5v37dunsu1plhC2HpUed/CnSJEiKtt+keXLl1fZztP58+erbPtKJ8W8RtKwtcW2zlDEXQNrX79t27apfPfdd6u8fv16lW0dkq8a6LjGKOLuGUmNdMqxnxm2B7SIu+a5VKlSKs+ZM0dl22f4woULKtt6ONu3uHHjxir7mlN274ZQ2avh4sWLKvuq2/TK7gdTo0YNle1nxNmzZ1UeP368yvYzwR4DfLE1uPZ86+mnn1a5ZMmSKtvjjn294zOGcGFfTxF332h/NdH2uDB8+HCV7Xs4f/78Ktua1jJlyqgcFRUV5+MnBTtGm23fYLs3gIhI27ZtVbb9y20NNZ9V8WPXYyVKlFD5/vvvV/mWW25x3YedQ/YYYPdz+e6771S2df/Bgm+kAQAAAADwgIU0AAAAAAAesJAGAAAAAMCDFKuRtn9/LyISExOjsu1/ams4bC8+e5+2Jtr26bO1TrZ2wletoL8aDtuv09YuzZ49W2VbM2DvD6GnePHiKj/wwAMq23pU239zzJgxKk+aNEllaqIDlz3G2P69IiL/+9//VLY9YW39o+0bbo8h9jhWoUIFlW19q6/5Y8fAHEs9vmpNbV2gr8+u69nPyowZM6rcrFkzlW1v83z58qnsq5bNfvYlRS1xqPC3H4ztG237eB88eFDlrVu3quyrb7Q/2bJlU9meb9kaW/s7rFmzRuVNmzapfOrUKc9jChW2Br5Lly6u6/iribbHdbtXxpQpU1TetWuXyraP9Jdffqlyhw4dVL733ntdY8iRI4fK9rhh56Wdt3ny5FE5Kc53/R3rED/2/WzXYwMHDlS5RYsWKvvqjW5fX7uPgq3r3759e5y3DxbMSAAAAAAAPGAhDQAAAACAByykAQAAAADwINlqpO3fz9uaIBGRQYMGqXzXXXfFeR+23tDWjm3cuFHlX375RWVbs2P/Ht/2qRZx996ztWLt2rVT2faJtfWItkZy7dq1Kts6bgQfW0dk++899dRTKh84cEDlhQsXqjx69GiVbT90BC57zPrhhx9c17H1rontPW9r8u38s32rffXZTEjNJVKOfc3sXh6FChVS2X6W2s+6O+64Q+UqVaqobGuilyxZ4hrTypUrVU7sPA5m9vWw7znbo7l+/foqZ8iQQWXb99v2bLbnDb7qSO25SM+ePeMcg62P3bNnj8r2c8nWQ9p9FWxNtoi7P7b9PYOVrZHu1KmT6zr+an1PnDih8qhRo1T2V19qn3+7t8aGDRtU/uabb1xjqFixosp2Pxd7rmI/e5599lmV7fvAnk/bum5fz9GhQ4dUtufQ9I2OH/ta2vXYnXfeqXJ8+ozbvRtsTbQ9RgRrTbTFN9IAAAAAAHjAQhoAAAAAAA9YSAMAAAAA4EGy1Ujbmmjbs05EpH379irbv8G3tRC2Z/OsWbNU/umnn1S2NdO2ZsT+fb6tzxBx994rXbq0yl27dlXZ1lQPGTJE5X/++UflBx98UGXbKxCBxfbe81U3YmtLevTooXK6dPpt99VXX6ls+0Pu37/f8zgRPJK6ltQea2+77TaVbd2Zrz7Ftj4Pga1s2bIqv/vuuyrbmmn7WWc/r2097Msvv6zyH3/84RqDrdkMZ/b5tT2Z7V4qtlbUHhPs/i7++rr7qi3NmjWryo0aNVLZ9pu3n3W2ftmOydaF586dW+XChQu7xmTPd2wv5GCVOXNmlX313PXHnlvYPt+Jde7cOZVtzbSIuze4nRN2nv71118qL1u2TGVbO96wYUOV7XGqaNGirjHZumy7ToBvdj51795dZbse89fn3O5vICIybtw4le25rK9zjVDAN9IAAAAAAHjAQhoAAAAAAA9YSAMAAAAA4EGy1UjbPoi2PsfXdSzbu9LWZU2dOlVlW19ja0D88VV3ZOtGbA9fWwtj++iVLFlSZVsnZGtGqJEObLbOpGDBgq7rtGjRQmVbf2jrT23tv533odJrD8nD1ibecsstKvurdfJVG/frr78mfmBINvY1r1OnjspVq1ZV2fYEtmyt47Rp01S2n7Vnzpxx3Uc4H6f81bPafQtsTbutobWfCdOnT1fZnofYc5dMmTK5xmhrlu25ij0Xsb2qN2/erHK9evVULlKkiMq2B7H9XBNxz6vdu3erHKxz6tixYyovWrTIdR37/Nv6Yzsn7HHd1uEnRw9urz2Z7XHEns/avHz58jjvz1etP32i48c+d1myZFG5UqVKKvvrE22PMfb4IOI+boVqTbTFN9IAAAAAAHjAQhoAAAAAAA9YSAMAAAAA4EGS1Ujbv8e39TGVK1d23cbWedma5smTJ6tse5LZmp3kqKexY7J5woQJKtu+e6NGjVLZ1kjb2ilbI3TgwAHXmIK1bigY2frSu+66S2VbDy0i0rFjR5VtTc/MmTNVnj9/vsqHDx/2PE6EL3usvf3221W2x2Zb6/TII4+47tPWOiGw2FrEX375ReV33nlHZXvcsn2NbX2s7d9qa2597T+S1P3Qg4mtP7R7o9j3qK1vtZ/p9txmzZo1Kl+8eFFlW19r9+UQcddE2v1d7HHC1tzaesemTZuqbOvCs2fPrvKnn37qGtP+/ftVDpVzG9tTfciQIa7rtG7dWmV/+xjYGvQaNWqovHTpUpVDoZY4FH6H1GLPXYsVK6aynT92PWafe3ueavt5i4j89ttvKofLZwLfSAMAAAAA4AELaQAAAAAAPGAhDQAAAACAB0lWI23/vr5KlSoq2/ocEXddj+1namui7c8DoZ7G1g0tW7ZM5eHDh6vcsmVLlXv06KFyvnz5VB4wYIDrMW0NbbjUIaQEfzXRL7/8ssq+atFsv8wvv/wyznzw4EGVA2FeI3BlzJhR5TvvvFNl2w/Szid/vT193QaBzb6Gb775psq2L3TNmjVVtjWct956q8r169dXecGCBa4x+NrPI1xky5ZNZXu+Y/eIsedLdt+CtWvXqrxu3TqV06XTp262vvaFF15wjdG+prly5VLZno/lyZNH5SZNmsQ5hhMnTqj8xx9/qPzNN9+4xmT3hAkV9vi5Z88e13WWLFmicrNmzVS2c8S+xvbcxNbV2/MKhDa7x8Ftt92msj1PKFSoUJz3d/bsWZVnzZql8vfff++6jV2b2GOEPcb46nd/vZMnT6ocqGsdvpEGAAAAAMADFtIAAAAAAHjAQhoAAAAAAA+SrEba/i287auYIUMG121sn7KNGzeqvG/fPpVt78RAZHsv2joY+zzZOgZbu2b7fYq4a5ECtW4gGHitibb9VY8cOeK6z1deeUXlb7/9VuUzZ854HifCl62VGz16tMqdOnWK8/a2J7Tdl+HQoUOJGB0Cke3zvGnTJpX91bfavR9sza/9rBYJ7xppy9Yr2mzZ2kFbc12wYEGV7We+PU+oVq2a6zHsa2of02Y7R2w9o/0cs3uDrFixQmV7PifiPl8KVfb9JSIyZswYlUuVKqVyTEyMynYOde3aVeV//vlH5alTp6rMcT60RUZGqtygQQOV7T4X9vp2vyc7f2xNtK/5ZPeCsPsq2OOa7W1t14T2MWfPnh3nmFML30gDAAAAAOABC2kAAAAAADxgIQ0AAAAAgAcspAEAAAAA8CDJNhvLly+fyo0aNYrz5yLujZomTpyosm3uHQybajmOo/LWrVtVtptOtGnTRuUWLVqo3KxZM9djnDp1SuUtW7Z4Hme4shss2Cb1dnMx27R+5syZKv/555+ux5g+fbrKbC4GL9KnT69yhQoVVG7VqpXKUVFRKttNn+xx1W5Kg9Bnj0Hbt29Xefny5Sp36NBB5bZt26rsa/OktWvXqnzp0iXP4wwVdtMcmy27oeB9992nsj1PsM+t3RjMfm6JuI8rdkx24689e/aofOzYMZWnTZumst1c7O+//1Y5nD8H7XMvIrJs2TKVX3jhBZX79eunst2INm/evCrbTU7tRqrvv/++ysFwPo0bs5sDlilTRmW7drAbFlr2/f7xxx+rbDecrFq1qus+7OdG6dKlVbbvA/s7WNWrV1d527ZtKttjTGrhG2kAAAAAADxgIQ0AAAAAgAcspAEAAAAA8CDJaqRtjU6mTJni/LmIyOnTp1W2f//ur64oGNg6FFv3besX69Wrp7Jtoi4icvDgQZV37dqlsq11Cie25sLW5pcqVUrl/v37q1yiRAmVV61apfLAgQNV3rRpk2sMtoYdocPOL6/ZV92orWW75557VH7jjTdUtrVx586dU/nRRx9VecaMGX7HEC5sLaqvGi2v9a3BwP4Odn+SWbNmqdy0aVOVs2TJonLWrFmTcHTBz76n7GeAzXYvFTsPs2fPrnK2bNk83d7Oc1+3OXTokMr79+9X+aefflJ53759Kv/8889x/vz48eOuMYSrsmXLui5r3bq1yvZc0J7X3XTTTSqnSaO/B8udO3ec2V6fGunglitXLpWffvpple2cs/sDnT9/XmW7x4W/fTJ87Xtl132JZWusb7vtNpXXrFmjcmrNab6RBgAAAADAAxbSAAAAAAB4wEIaAAAAAAAPkqxG2l+NkK+6PPv39MWLF1fZ9iUMhdo++zf8ts+07bVYrlw5133cfPPNKtt+juFcI50hQwaV69Spo7KtM7L9Nm3dyF9//aWy7bV39uzZBI0TgcHu3ZAjRw6VbW1iTEyMyvYYZmtJbR2Tfa+KuOfogAEDVLY10fYYMnv27DhzKBw3Eypnzpwq2/68vvq72n0PfvnlF5VD4T1va2ptPaWtpwvFuvGk5K9+2PZ6t8cVm22NtK1v9bXnzPV8vT62JtoeZ2xf4w0bNqhsjyMXL15U2dZghzP7OfHqq6+6rtO8eXOVGzdurLJ9T/rruWtf82rVqqlsP0d2794d5/0hsGXOnFnlihUrqmzPha2TJ0+qvHHjRpXtfk32XNnf/fti57DXY0agHmP4RhoAAAAAAA9YSAMAAAAA4AELaQAAAAAAPEiyGmlbIzR9+nSVfdWi2b/pt/1Pjx07pvLff/+t8oEDB7wOM+D56ycp4u7f5q9eKpTZ56t8+fIqDxo0SOWSJUuqnDFjRpXtvB08eLDKtod3oNZshCNb1ynirpHNkyePyk2aNFH51ltvVdkeo2z/XPves8c5m20dnK/HsHtF2Dm+evVqlceOHauy7Ssdzuzr36tXL5WLFi3quo39LHvttddUnj9/vsp79+5V2daS2pr21KgvtjW2di+A2rVrq2zHuHjxYpXt/iW+bhNO7L4kdg798ccfKtvn39bUVqpUSWVbj2jrFe1xxtc+KbZPtK2JtnsD2BpoW+dtX+9w3ovBPjddu3ZV2fZlFxGJjo72e53r+auR/ueff1R+8803VQ7F8+VwZs897D4Ldr7Y9+vOnTtVtsecypUrq+zr/MryN0f9sZ+Vdn+SH374Ic7rpxa+kQYAAAAAwAMW0gAAAAAAeMBCGgAAAAAAD5KsuNbW5X333Xcq+6rZeeqpp1Ru0KBBnI9h64xsbaD9m/9AqE1LmzatyrYupm3btirbGk7b201EZNWqVSrbnt3hxD5fffr0UdnWTNtas82bN6ts55Tt801NdOqxdZ5PPvmkyrbeWcTdC9HWstnaQlsXaOsK7XvN1gTZvtG2z3SbNm1cY/Rny5YtKrds2TLOMfobk+0/uX37dtdjhuo8t3Vldo8EEXf9aYcOHVS2/V3nzp2rsu3PefToUZWPHDmickrUefmrp7N1+XZO/frrryrbzyCR8K6Rtr+77dn822+/qWzPZex70u6DUrZsWZVHjhypcv78+VXes2ePa4w//fSTyram1p7D2b7D5cqVU3n9+vUq2985UOoXU4J9rm677TaVfR1n7HHanita9phsa9Lt67t8+XKV7Wcbgps9httzGXtMOn78uMr2/W7PlfzVRCekHtrfHLbHkK+++kplX+cqgYBvpAEAAAAA8ICFNAAAAAAAHrCQBgAAAADAg2RrQGzrb2xfRRF3Hc+AAQNUrl+/vsq212WVKlVUtjUhtu/0jh07VLY1A0nB1rnYXmy2V1v37t1VPnPmjMrvvPOO6zEWLFigcjj1jbXPr62rb9WqVZy337Ztm8q2z/Ts2bNVDqc6r0Bna6Rt33lbRyjiruOxr//UqVNV3rVrl8q2Z7Ctf7W1ca+++qrKDRs2jHM8vti6IVuDa2tubW1UhQoVVH766adVtrWOdp8GEXetUrCyz2V8jvm2jr5169Yq236vjz/+uMp2PxD7OfTtt9+qbOuNz58/r/Lp06ddYzx27JjKtga6QIECKteoUUPl6tWrq1y4cGGVx48fr7J9n9jPKcTN1iuePXtWZfua29fTHvvsXh/WiRMnXJfZPsK2ZtbWL9rzCntMsD8P1X0VfLHH8YIFC6psj8kJYZ9Pm1evXq2y/ayycwrBzR4T7Lmv3VfBzhd7zLZ7dfibs/E5d/F3DLCfx/PmzVN50aJFKtu9JQL1fJxvpAEAAAAA8ICFNAAAAAAAHrCQBgAAAADAg2Srkbb1N7auT8T99/CLFy9W2fZWtH/DX6tWLZXLlCmjsq1PtvWRtt4xKdhapooVK6pcqlQplW1dw+7du1W2dTAi7h6focr2axVx1/J169ZN5Zw5c6q8Zs0aladMmaLy5MmTVba1awhc/uoIRUR++OEHlfv27auy7SNu2T7lvXr1UvnOO+9U2dYfW/GpI7T7AHTt2lVlWxtlFSlSRGVb82uPzdmzZ3fdR6jUSO/du1flt99+W+X+/fu7bmPri+1xKDo6WuUSJUqobF9je8xv1KiRyrbe2da32s8tEfdxzfYrt49RtGhRle1nq609s3sF2HrLcKqHTQm2hjpLliwq270Y/NUz+toLwNYnxsTEqGxrnu17Z926dSqHc99wf/XkuXLlUjkp6kvtceCBBx5Q2fb1DufXJxzYY7g9H7LnEXatYc8jvPYx98V+jhw+fFhlW8c/ZswYle1+IcFyHsI30gAAAAAAeMBCGgAAAAAAD1hIAwAAAADgQbLVSFu++n/Z+sSXXnpJZVvPmjVrVpVtf09bE121alWVb7nlFpV91QYmlr96N1tnMGvWLJVtDcHWrVtdjxGqdby2xtW+niIidevWVdm+xrYObMWKFXFmei2Gti1btqhse6na+mG7p8ETTzyhcqdOneK8vWVrfHztFZEjRw6VbX1dZGSkyqVLl47zMW1tnK2J3r59u8r2mBVK7Pvb7olga41F3M+vfc1tT2ZbU23rV23tmq27t9l+RlSrVs01xnbt2rkuu56td7Ofv/Z5sX2i7WevPa4iadnPvmLFisWZ7fVtDa69voi7JtLOU1sTbefEqVOnXPeJq+xx5MEHH1R58ODBrtsUKlRIZXvctvWitp505cqVnseJ0GHfj/YY7e9zyNZY+2Pnp68afNubesGCBSpPnDhRZTuHfe3tEAz4RhoAAAAAAA9YSAMAAAAA4AELaQAAAAAAPEixGmlfbC2Y7ZO3Y8cOlW0d0MyZM1XOli1bnNn20qxUqZLKvvrQ+mPrBGzf57Vr16psa9VsTYCtoQyn2jT7/N96662u69x3330q29fU1hXZvrEbNmxQ2VftPgKTfa/Z+hrbF1VE5LHHHlP5jjvuiPMxbJ9yW1dk54utwba1pR988IHKO3fudD2m7fvcoUMHle3eDpatz7P7ANif2zqmYOnVmBRsbbA9HoiI7Nu3T2U772yNeePGjVW2e2/YGmpb8+7vc8fXz+1l9nPCX09g+zljP0vtc4CU5a+ecc+ePSrbcyN7HiLi3m/F7rVijwP0Do8/uw/Fn3/+qbKtmRZxv8aWPTe0PXkRXuwx/ueff1bZnjfcdNNNKtuaaXvMsO9v+/6fM2eOyr4+O3///XeVFy1apLKdw6Fy/s030gAAAAAAeMBCGgAAAAAAD1hIAwAAAADgAQtpAAAAAAA8iHDiuYOELUwPRnaDloRsLuZPfJqWp7aU2jTE65yxr0fr1q1d12nbtq3K1apVU/mdd95RedKkSSrbDRQQPykxZ7zOF7tx2LBhw1zXsRuQeX3P2w0+ZsyYofLnn3+u8i+//KLy6dOnPT2eiHsTmhw5csR5/WPHjqlsN/BIjWNQoB5jEsLOGbtZmN1MzG42Zjcjs5vHVaxYMc7H8+XkyZMqz5s3T+Xdu3er/Ntvv6ls54y9fmocJ0NpziRW8eLFVbYbo1avXj3O2/vabMxukmc3HTx16pTKdmOgQNxsjDkDrwLxXCYh7OZhZcuWVblFixYq582bN85sjw92s7vvv/9e5f3797vGZDcwDMT1j1fxmS98Iw0AAAAAgAcspAEAAAAA8ICFNAAAAAAAHoRVjTSuCpa6IluLKCKSJUsWlTNnzqzy3r17VaYmOmkEYl1RVFSUys2aNXNdp0ePHir7q0c9ceKEyrb29IMPPlDZ1hXZ+uRwFSzHmJTgr+Y9W7Zsnu/T1u7berWLFy/Gef1AxJy5Ma/7u/iqTQyFekWLOQOvAvFcJjnYzx2b7fmT3c/FPk/B8BmSHKiRBgAAAAAgibGQBgAAAADAAxbSAAAAAAB4QI10GKKuCF4Fa11RYnvHh2tdUGJxjIFXzBl4xZyBV8F6LoPUQY00AAAAAABJjIU0AAAAAAAesJAGAAAAAMCDdP6vAgDByfZODcVeqgAAAEh5fCMNAAAAAIAHLKQBAAAAAPCAhTQAAAAAAB7Eu480AAAAAADgG2kAAAAAADxhIQ0AAAAAgAcspAEAAAAA8ICFNAAAAAAAHrCQBgAAAADAAxbSAAAAAAB4wEIaAAAAAAAPWEgDAAAAAOABC2kAAAAAADxgIQ0AAAAAgAcspAEAAAAA8CBkF9Lbtm2TiIgIGT58eJLd57x58yQiIkLmzZuXZPeJwMGcgRfMF8SF+QGvmDPwgvkCr5gzSS+gFtKff/65REREyLJly1J7KMmiePHiEhER4fNf6dKlU3t4QSnU54yIyC+//CKNGzeW3LlzS/bs2aVWrVoybty41B5WUAqH+TJhwgSpUaOGREVFSZ48eeShhx6SQ4cOpfawgkKoz49//vlH+vTpI3Xr1pWoqCiJiIiQbdu23fD606ZNi51LRYsWlYEDB8qlS5dSbsBBgDnzr4kTJ0rXrl2ldOnSEhERIY0aNUrRsQYD5stVhw8flmHDhkmDBg0kT548kj17dqlTp45MnDgx5Qcd4Jgz/+rTp4/UqFFDcubMKRkzZpTy5cvLoEGD5NSpUyk76OsE1EI61I0cOVLGjRun/g0ePFhERJo3b57Ko0MgmjZtmjRv3lwuXLgggwYNktdee02io6Ole/fu8vbbb6f28BBgPvjgA7n33nslZ86c8tZbb8kjjzwiEyZMkCZNmsi5c+dSe3hIZYsXL5Z3331XTp48KeXLl4/zurNmzZL27dtL9uzZ5b333pP27dvL4MGD5T//+U8KjRaBwMuc+eCDD+T777+XIkWKSI4cOVJohAgk8Z0vixcvlhdeeEFy5swpAwYMkNdee00yZswonTt3loEDB6bgiJHavBxj/vzzT6lfv768/PLL8s4770jjxo3ljTfekJYtW8qVK1dSaMRaulR51DDVvn1712XXFtJdunRJ4dEgGIwaNUoKFCggc+bMkcjISBERefTRR6VcuXLy+eefS58+fVJ5hAgUFy5ckP/+97/SoEED+fnnnyUiIkJEROrWrStt27aVjz/+mEVQmGvXrp0cO3ZMsmTJIsOHD5cVK1bc8Lr9+vWTKlWqyE8//STp0l09VciaNasMGTJEevfuLeXKlUuhUSM1eZkz48aNk0KFCkmaNGmkUqVKKTdIBIz4zpeKFSvKxo0bpVixYrGXPf7449K0aVMZOnSo9O/fXzJlypRCo0Zq8nKMWbhwoeuykiVLSr9+/WTp0qVSp06dZBypb0H3jfSFCxfkpZdekptuukmyZcsmmTJlkvr168vcuXNveJu3335bihUrJtHR0dKwYUNZvXq16zrr16+Xjh07Ss6cOSUqKkpq1qwp06ZN8zueM2fOyPr16xP8p5Nff/21lChRQurWrZug28O/YJ4zJ06ckBw5csQuokVE0qVLJ7lz55bo6Gi/t4d3wTpfVq9eLceOHZNOnTrFLqJFRNq0aSOZM2eWCRMm+H0s+Bes80NEJGfOnJIlSxa/11u7dq2sXbtWevbsGbuIFrl6ous4jkyaNMnvfeBf4TBnRESKFCkiadIE3WllwAmH+VKiRAm1iBYRiYiIkPbt28v58+dly5Ytfu8D/wqHOXMjxYsXFxGRY8eOJfg+EiPojngnTpyQTz75RBo1aiRDhw6VQYMGycGDB6VFixY+/xfjyy+/lHfffVeeeOIJef7552X16tVy2223yf79+2Ovs2bNGqlTp46sW7dOnnvuORkxYoRkypRJ2rdvL1OmTIlzPEuXLpXy5cvLqFGjPP8uf/31l6xbt07uu+8+z7dF/AXznGnUqJGsWbNGXnzxRdm0aZNs3rxZXn31VVm2bJn079/f83MB/4J1vpw/f15ExOd/sERHR8tff/2Van/6FEqCdX548ddff4mISM2aNdXlBQsWlMKFC8f+HPETDnMGSSec58u+fftERCR37tzJ/lihJJzmzKVLl+TQoUOyZ88e+emnn2TAgAGSJUsWqVWrVpI/Vrw4AWTs2LGOiDh//vnnDa9z6dIl5/z58+qyo0ePOvny5XMefPDB2Mu2bt3qiIgTHR3t7Nq1K/byJUuWOCLi9OnTJ/ayJk2aOJUrV3bOnTsXe9mVK1ecunXrOqVLl469bO7cuY6IOHPnznVdNnDgQM+/b9++fR0RcdauXev5trgq1OfMqVOnnHvuuceJiIhwRMQRESdjxozO1KlT/d4WbqE8Xw4ePOhEREQ4Dz30kLp8/fr1sXPn0KFDcd5HuAvl+WENGzbMERFn69atN/zZjh07XD+7+eabnTp16nh6rFDGnPGtYsWKTsOGDT3dfzhgvtzY4cOHnbx58zr169f39DihjjmjLV68OPacRkScsmXLqsdOaUH3jXTatGklQ4YMIiJy5coVOXLkiFy6dElq1qwpy5cvd12/ffv2UqhQodhcq1YtqV27tsycOVNERI4cOSJz5syRe+65R06ePCmHDh2SQ4cOyeHDh6VFixayceNG2b179w3H06hRI3EcRwYNGuTp97hy5YpMmDBBqlev7re4HokTzHMmMjJSypQpIx07dpRvvvlGvvrqK6lZs6Z07dpV/vjjD4/PBOIjWOdL7ty55Z577pEvvvhCRowYIVu2bJEFCxZIp06dJH369CIicvbsWa9PB4xgnR9eXJsn15eUXBMVFcU88igc5gySTjjOlytXrkiXLl3k2LFj8t577yXb44SqcJozFSpUkJ9//lmmTp0aW0ufmrt2B+VmY9dOFNevXy8XL16MvbxEiRKu6/pqK1WmTBn59ttvRURk06ZN4jiOvPjii/Liiy/6fLwDBw6oCZcUfvvtN9m9ezebRaWQYJ0zTz75pPzxxx+yfPny2Nqze+65RypWrCi9e/eWJUuWJPox4Bas82XMmDFy9uxZ6devn/Tr109ERLp27SolS5aUyZMnS+bMmRP9GAje+RFf18oDrpULXO/cuXPsz5AAoT5nkLTCbb785z//kR9//FG+/PJLqVq1aqqNI5iFy5zJmjWrNG3aVERE7rjjDvn666/ljjvukOXLl6fK3Am6hfRXX30l999/v7Rv316eeeYZyZs3r6RNm1Zef/112bx5s+f7u1Yz2K9fP2nRooXP65QqVSpRY/Zl/PjxkiZNGrn33nuT/L6hBeucuXDhgnz66afSv39/tYFL+vTppVWrVjJq1Ci5cOFC7P9CImkE63wREcmWLZt8//33smPHDtm2bZsUK1ZMihUrJnXr1o3t1YnECeb5EV8FChQQEZG9e/dKkSJF1M/27t2berVoQSoc5gySTrjNl5dfflnef/99eeONN6Rbt26pNo5gFm5z5np33nmndOvWTSZMmMBCOj4mTZokMTExMnnyZLUz7Y36zm3cuNF12YYNG2J3eYuJiRGRq4uTa//DkdzOnz8v3333nTRq1EgKFiyYIo8ZzoJ1zhw+fFguXbokly9fdv3s4sWLcuXKFZ8/Q+IE63y5XtGiRaVo0aIicnUny//9739y1113pchjh7pQmB/+VKtWTUREli1bphbNe/bskV27dknPnj1TaWTBKRzmDJJOOM2X0aNHy6BBg+Tpp5+WZ599NrWHE7TCac5Y58+flytXrsjx48dT5fGDskZaRMRxnNjLlixZIosXL/Z5/alTp6q/41+6dKksWbJEWrVqJSIiefPmlUaNGsmYMWNk7969rtsfPHgwzvEkpP3VzJkz5dixY/SOTiHBOmfy5s0r2bNnlylTpsiFCxdiLz916pT88MMPUq5cOf7EMhkE63y5keeff14uXbpEGUkSCbX54UvFihWlXLly8tFHH6n/rPvggw8kIiJCOnbsmGSPFQ7CYc4g6YTLfJk4caI89dRT0qVLF3nrrbeS9L7DTTjMmWPHjqk/Wb/mk08+ERF3l4mUEpDfSH/22Wfy448/ui7v3bu3tGnTRiZPniwdOnSQ1q1by9atW+XDDz+UChUq+Cw2L1WqlNSrV0969eol58+fl5EjR0quXLlU66DRo0dLvXr1pHLlyvLII49ITEyM7N+/XxYvXiy7du2SlStX3nCsS5culcaNG8vAgQPjXVQ/fvx4iYyM5BuiJBSKcyZt2rTSr18/GTBggNSpU0e6d+8uly9flk8//VR27dolX331lbcnCbFCcb6IiLzxxhuyevVqqV27tqRLl06mTp0qP/30kwwePFhuvvnm+D9BYS5U58fx48djN/JZtGiRiIiMGjVKsmfPLtmzZ5cnn3wy9rrDhg2Tdu3aSfPmzaVz586yevVqGTVqlDz88MNskOkDc0Zk/vz5Mn/+fBG5eqJ9+vRpGTx4sIiINGjQQBo0aBDnY4WTcJ8vS5cule7du0uuXLmkSZMmMn78eHU/devWjf1WFFeF+5yZN2+ePPXUU9KxY0cpXbq0XLhwQRYsWCCTJ0+O3YQ3VaToHuF+XNvi/Ub/du7c6Vy5csUZMmSIU6xYMScyMtKpXr26M336dKdHjx5OsWLFYu/r2hbvw4YNc0aMGOEUKVLEiYyMdOrXr++sXLnS9dibN292unfv7uTPn99Jnz69U6hQIadNmzbOpEmTYq+TFFu8Hz9+3ImKinLuvPPOhD5NuE44zJnx48c7tWrVcrJnz+5ER0c7tWvXVo+B+Av1+TJ9+nSnVq1aTpYsWZyMGTM6derUcb799tvEPGVhJdTnx7Ux+fp3/divmTJlilOtWjUnMjLSKVy4sDNgwADnwoULXp7SkMec+dfAgQNveN2EtAgNRcyX+D0PY8eOTcCzG5qYM1dt2rTJ6d69uxMTE+NER0c7UVFRTsWKFZ2BAwc6p06dSshTmyQiHOe6vwMAAAAAAABxCroaaQAAAAAAUhMLaQAAAAAAPGAhDQAAAACAByykAQAAAADwgIU0AAAAAAAesJAGAAAAAMADFtIAAAAAAHiQLr5XjIiISM5xIAWlVOtw5kzoSIk5w3wJHRxj4BVzBl4xZ+AV5zLwIj7zhW+kAQAAAADwgIU0AAAAAAAesJAGAAAAAMCDeNdI46o0adLEmb26cuVKnBkAAIQOr+cRnCcAQGDiG2kAAAAAADxgIQ0AAAAAgAcspAEAAAAA8CCka6Rt3VFkZKTK+fLlUzldOvfTkTZtWpUrVKigcuXKlVX21z/O9iRbtWqVyosWLVL54MGDfu8DKSc+tW3p06dX2c6z06dPq3zs2DGVL1++rDL1cIHD3+tvX/vMmTOrbI8nIiIXL15U+ciRIyrzfgeCS1RUlMotWrRQuUuXLipXrVo1zvtbuXKlyhMnTlR5+vTpKp8/fz5e40TgYP8dIDjxjTQAAAAAAB6wkAYAAAAAwAMW0gAAAAAAeBBQNdJe6w9t7amtgbb1zHXr1lW5cePGKmfJksU1JlvznD17dpWzZcvmuk1ct7dsPeS0adNU/u9//+u6zaFDh+K8TyQdW+vWrFkzlUuVKuW6TaFChVRu0KCByjt27FDZ1sn//fffKi9YsEBlXv+UY48pzZs3V7latWoqZ82aVeUSJUqonDFjRtdj7N27V+UhQ4aovGXLFpWpmQYCi/2cv+uuu1QeOHCgyva4YG9v61ljYmJUtp8p9nNqypQprjGeOXPGdRlSj33Nc+bMqbLdX8Pu4WPPjy9cuKCy3Yvl1KlTKtu9OS5duuRnxAhmdn8WO38yZcqksp1PBQsW9PyYu3fvVtnOOStY5yDfSAMAAAAA4AELaQAAAAAAPGAhDQAAAACABxFOPAvu/NX6JoT9G/369eurbOuAbH1yw4YNVbb1ifb6NtvH99Vnz/b4tdnexta/li1bVuUiRYq4HuN669evV7ldu3au62zatCnO+/AnpWosk2POJJatE7F1STly5FDZ1tXbmvUCBQq4HsPW1draJjtnbN/ow4cPqzx69GiV3377bZVTovYtJeZMIMwXuw9DrVq1VB41apTKdh8G+zvY7Ot5tD1f/+///k/l/v37qxwMNfLhfIxBwgTLnPF1+8qVK6u8aNEile3eCNu2bVP52WefVdmeR4wZM0blcuXKxTnGZcuWuS6zvaxDoWY6mOeMv/1XSpYsqbLdw8eev548eVJlO8e2bt2qsj2XtXt1iLhrWkOhN3WonMvY1z9Xrlwq2716qlSporKdX0WLFlX56NGjKrdq1SrOxxdxz4cZM2aobOfoiRMnVB4/frzK9lzYniunhPjMF76RBgAAAADAAxbSAAAAAAB4wEIaAAAAAAAPWEgDAAAAAOBBOv9XST62WL1evXoq9+vXT2W7EZDdOMo2896/f7/KR44cUXn16tUqr1q1yjXGv//+W+W1a9eqbAvRM2fOrPJTTz2lcpcuXVS2Bf0LFy5U2W4IAW/sJi92Qw/7etgNGexmZHZDh4RsKmHnvc358+dX+cEHH1TZbiIyadIkle3mVfiXfb0yZMigcs2aNVV+4403VLabi9mN5OzmGHbTIJtF3Me1GjVqqGznYDBsNobgZud14cKFVT516pTrNnbup9RGUMnNbh7pa8PQ1q1bq+xvc7GXXnpJ5SlTpqhsN+25//77VX766adV7ty5s8r2OCYi0qFDB5UnT56s8tmzZ123QcLYzxm7sZiISMGCBVW2r4/dwM7fZmN24yZ/m43t27dP5Tlz5rjGaM8/7WPYzaM490ga9pgjItK8eXOVe/ToobLdrNlunGvXS4ndEM3Xxl/2Pv/f//t/nu7Tbro4a9YslZ944gmVA2XDRL6RBgAAAADAAxbSAAAAAAB4wEIaAAAAAAAPUrVG2tYB2fpgf7Wklq3fmD9/vsrHjx+PM/uqR7Z1ALbuKyYmRuX//Oc/Kt9+++0qnzt3TuUxY8aoPGrUKJVt3Rniljt3bpUfffRRlR944AGVixUrprKtI7Hs6++rJmjv3r0qX7x4UWVb/2JrpWx9YvHixVW2c2zRokUq29oo/MvWuN9yyy0qv/LKKyrbmmh7zLJ7KIwcOVLlBQsWqOyrttS+/sOGDVO5YsWKKttat0yZMqls64bs/AuV2lUknD3O2eOgrdfs1KmTyitWrHDd54ABA1Q+cOBAIkaYeuxz89hjj6k8ZMgQ123s/iz2vOGrr75S+dtvv43z+tbKlStVfvjhh1WeOnWqyvZzTkTko48+Urljx45x3ifnHgln994oUKCA6zp16tRR2da42tvY+7T1qPY4X7RoUZWrV6+usj3ftXuziLjrqP/55x+V7b5CnHskjaxZs7ouszXRd955p8r2GHLhwgWV7XmDv/NQu3eLPQb16dPHNcbs2bOrbPccsms4u7eE3Q/Gfu7YOWz3mpg9e7ZrTClRt8830gAAAAAAeMBCGgAAAAAAD1hIAwAAAADgQUDVSNt6Qlv76ZWtW0oKefPmVdnWhdm/6be+++47lceOHauy7X2NuNmaC1tnZPvO+aoDup6tM7G9x7dv367ymjVrXPcxevRolW1dbJs2bVR+4YUXVM6WLZvK9n1iexGfPn3aNQb4ZuvGGjRooLKtibZ1RrYWcfjw4SqvX79e5fjU59j+rcuXL1fZzmlb29SkSROVf/31V5X/+OMPlaljC322b23ZsmVVtn2IW7VqpXKePHlUtvWYtm5fRGTdunUqv/feeyonx+dxcrB7CNjjra8er9HR0Srb39UewxO7T4H9nJo+fbrKu3fvdt2mZcuWKtvX3O7FYT/72Fvhxuy+Jra++Y477nDdpkuXLiqXLFlSZTuHbM9muyeQrZG2Na62D7Udo+1bLeLe02fz5s0q2/7nb775psr0Jk8Y+1qK+O/Z/f7776u8a9culWfOnKly27ZtVbbnoXa+vP322yr//vvvrjHacf/www8q288Ru/6xexz17t1b5c6dO6s8aNAgle35uYi7tjs58I00AAAAAAAesJAGAAAAAMADFtIAAAAAAHiQqjXSlq0jsjm52b/fF3HXirVr105lW2dka5dsTaX9m37b2w3e2BrpSpUqqWz7Blu2Bsj2oRs/frzKtn7V1imJuGvLbF197dq1Vc6cOXOcY7R1H3ZM9vHwL1u71rBhQ5UbN26ssn09P/zwQ5VtTY+tN7bHEPva2ywiUq9evTivY48xXbt2Vdn2bqxZs6bK/urY7HsAgc8e92yNbt++fVW2PUdtzbR9n9gewnbfBlt/KeK792kwsucdf/31l8q+9j2wz39Ks+cdvuoCn3zySZVtP+xvvvlGZTuHbL0jbsy+n2y9qa/L7Lw7fvy4yrZn8+rVq1U+evSoyva8wtbAlypVSmV7TBBxz2vba9jWVdvfye4x4q9fOq6yr72IyMsvv6zysmXLVLbnKva5tp8Zto+5fe3sudBPP/2kcnz2f/G3hrPnTzbb3vbff/+9ynY/osmTJ7seo2fPnirbPWSSAt9IAwAAAADgAQtpAAAAAAA8YCENAAAAAIAHAVUjndp81S8OHjxYZVsjbY0cOVJlW1Npa6LpzZi0bB2IrVm1dSO2JvqZZ55R2b5e8anxsbVIDz30kMq2Tjdt2rQq2/6Rtsb1l19+8TwmXGXrxjJlyqSy7dU4Z84clffu3auy7Slr64zq1q2rcpUqVVxjsn2gM2bMqLKtgbb1d3bO2/6gdt8AO0ZqpANbhgwZXJfdeuutKt9+++0qP/bYYyrbeW5fc9uHeOLEiSq//vrrKhcqVCiOEYeWffv2qbxx40bXdXy9r1OTrz609lhm+2Pbetdq1aqpTI10/Nljss2+LrOvmf2sWbx4sco///yzynv27FHZftbFxMSobD8Xunfv7hpj/vz547zPMmXKxHl9W2fLuUr8+FoX2PphWx/sT4MGDeLMdj4uWLBA5dTYi8fWYU+aNEnlChUqqGzP30Xcz9Mtt9yist1bICH4RhoAAAAAAA9YSAMAAAAA4AELaQAAAAAAPAjrGmlbE23rykRE7rjjDpVtfaGtJRs1apTK+/fvT8wQ4ZHtW2drTY4dO6ay7Z3pryba9k/NkSOHawy2Jrp3794q++sbbWvX5s+fr/LZs2fjvD2Sjq1Pbdmypcq2F6PtzVm9enWVbV96EfecsrVua9euVdnWY9p9AGw9bNGiReP8+cGDB11jQsqxdfa2n2vz5s1dt7Hz0PYit/PWHhdtL80XXnhBZXvcs3PGl/jUhQYjW08+btw413VeeeUVle172p432J/bfTESyx4TRNyvh625tceVUOkLHizs/hy2Ft/2M1+/fr3Khw4dUtnupbFr1644799+dom4P9/sOXPu3LlVtnXY9rPM9pX212cYScfuteLr3PV6K1asUDk+faNT2ldffaWyPd8SEalfv77Kdu+H3377TeWEzMnQ+KQDAAAAACCFsJAGAAAAAMADFtIAAAAAAHgQVjXS/vr79uzZ03WbXLlyqfz333+r/Pbbb6t84MCBRIwQXtl6htWrV6tsa6L91ZPa2kJbH2f71rVp08Y1pkceeURlfzXRtubZ1n3YekbqiuLP3/xYtWqVyq1atVL5ww8/VNlfj2dbk297g/raM2HWrFkq25plW/9q2fkzdepUlWfOnKmy7U+KlGXrDO2ce/rpp1W2vVpF3HXVtv7VV43s9WzN7r333quyrZe1n4O++pza3ta2h7rd6yFYj2Nz5851XWbf1/Zco2nTpip/+eWXKtvzisQqVqyY6zK7H0iJEiVUtnPI1rvamtukrusOd6dOnVLZ9g3esmWLyvbcxn7W2Gzrk21Ntv0cEnG/R2vWrKmyrfW3n4f2OOXvuISkY9/PtjbYvha2T/S8efOSY1hJyr5H7HFVRKR169Yq2z1jkmJO8o00AAAAAAAesJAGAAAAAMADFtIAAAAAAHgQ0jXS0dHRKvfo0UNlW4vmq1em7Ss8fPhwlW0vP1+1Y0g+toZnzZo1Kh89elTl0qVLq/zf//5XZfv62R6+//nPf1S2dYAi7hpIy/bjW758ucqTJk1S+cyZM3HeH27Mzo8FCxaofOLEiThvb/sS2jozW2Nt64p2796tsj2eiLiPU88995zKtkbWjuG7775TedCgQSrbXp6B2A8ylKRNm1ZlW188dOhQlW2NtO01Hp8aLn/XsfVytu7eHse81lyLuPtfZ8uWze9tgtHOnTtdly1btkxlWyNdvnx5lTt06KByYmuk/dVDiohUqlRJZTtPrdtvv13ljz/+WOWRI0eq/M8//6hs9xeBZs81bM25/WyyNc22Btof2xvenlfY8w4RkYULF6ps57Wtm7e9h48fPx7nGJB8bI/vXr16qWyPGXZ/J3uuFIjs+d3vv//uuo7dS8Ae12bMmKGy7cceH3wjDQAAAACAByykAQAAAADwgIU0AAAAAAAehFSNtK3jsrWFd955p8q2Jvr06dOu+7R9yaZMmaIy9YaBxfbCW7x4scq2v6btlfnmm2+qbHs7FihQQGXbd9oXWxc0e/ZslQcOHKiyrTVD0rH1L7YnrK1VLFSokMq2fnXz5s0q2x7NtoYnZ86crjG9++67Ktte5db06dNVfvnll1W2/UbZtyFp+auBrl+/vsqdO3dW2faet71W7ZxJirpCWw9ns/2d7Jyxn3O+jlETJ05UedGiRSoHa99oy37GiIh8++23KttzDfv8Vq5cWWX7enh9ruz1bW2riMiQIUPifEzbO9z2Be/UqZPKdv+IyZMnq2w/S8OpZtq+Hr5eT/ses+ev/vYpSOqezL7OZe3+GnbPGTsGW9cdKu/5YGDnS506dVS2e1bY45g9fofqa2ePxfSRBgAAAAAghbGQBgAAAADAAxbSAAAAAAB4EFI10rZ+sU+fPirbPpe2H+vUqVNd9/nFF1+oTE/fwHb48GGV33nnHZVvuukmlW1vTdt7z+b4sP0dbS/qzz77TOXVq1erTK/FlGPrgA4ePBhntvU0/urcSpYsqbKtOxRx19TaMdn5M3bsWJVtb2pqouPPV32U/Rzp1q2byrfccovKtiezrZm2NVn++nXaWjXbq1zE/zEiY8aMKtvPwq5du8Y5xrNnz6rcs2dPle1eISLh89no67n/7bffVLafQ3ZO2Rpp+/wntj7RVy/UV199Nc7b+Kv9HzFihMrt27dX+aWXXlK5dOnSKr/44ouux9y2bVucYwpWtie07QEt4q4nts935syZVc6SJYvKdn8Wr32lLV+fG/Yc2d9j8NmTeuxnWY4cOVROnz69yvYYNX78eJWDoUba1oXXrVvXdR27L03RokVVtntl2XO+eI3D8y0AAAAAAAhjLKQBAAAAAPCAhTQAAAAAAB6wkAYAAAAAwIOg3mwsXTo9/AYNGqjcsmVLlW2x/d9//63y8OHDXY+xffv2xAwRqezcuXMq201Y7OYYdvMCf3xtrrF7926V/9//+38q//777yqzuVjw8Le5WExMjMoDBw5UuU6dOq77zJo1q8pLly5V+bnnnlN52bJlKjN/4i8qKkpluwGliMjTTz+t8j333KNyZGSkyvaYYV8Pu7nYs88+q/KsWbNUtpvAJOT1rVatmso1atRQ2W4sdf78eZUnT54cZ7abkYW7Y8eOqXz06FGV7WZj2bNnV9luDGTnTErwN2/tZmGbNm1SuXv37irbzchWrFjheky7gVmwshsznTp1SuXNmze7brNmzRqVmzVrpnKpUqVUthujHjlyROUtW7bEb7CJwGZigctuVufrs+169jzVbpAXDOxmwDfffLPrOvYczb7v7Hs1IfhGGgAAAAAAD1hIAwAAAADgAQtpAAAAAAA8CKoaaVvfZmugH3vsMZVtzcC2bdtUtjXR69evdz0mNSGBzV+N6gsvvKCyrVG1twe8sLWPAwYMUPnOO+9U2e7TICIyc+ZMlW1d9dq1a1W+ePGi53GGK1tD9cgjj6jcqVMn121sbZmtiba1ZHbfhQULFqg8YcIEladPn66yrU9OCDvGvn37qlymTBmV7eea/eyzn43URMfNvie/+eYblW1dvD1udOvWTeV33nlH5UCoX7TnT6+88orK48ePV3nRokUq9+rVy3WfX3zxhcr2vRQsbI203efgl19+cd1mx44dKlevXl3lW2+9VeWiRYuqXLp0aZXfe+89lW2d/oULF1ROiXNbe36VIUMGlbNkyRLn7U+ePOm6LDV+j2Dw6KOPqmz35rHvrfvuu0/lffv2Jc/AkpDd22PUqFEq230ZRNzvTXtstu/VhOAbaQAAAAAAPGAhDQAAAACAByykAQAAAADwIKBrpG3d11133aXyoEGDVC5evLjKtofwl19+qfKUKVNUTopaNaSsYsWKqWznhK1RtXX2lq23SUhtWsGCBVV+6623VH7zzTdVtj1amYeBy86fVq1axZltTZivepxx48apvHr1apXpEx1/tqdzvXr1VH7yySdVzp8/v+s+bF2f7c9qPzdsX3hbG5rYvtC+9nGwv2f58uVVtrVidh7a38kek3ztF4L4s3OkQ4cOKlepUkXlW265RWV7rnLw4MEkHF3SsJ+VtoZ6586dKleuXNl1H7buN1hrpC373Pj6TN+7d6/KGzduVDlv3rwqFyhQQGW738uff/6p8t9//63y/v37VU6OWmN/NdH58uVTuUKFCnHen/0sFHE/b+F6vmT3/2jUqJHK6dLp5d38+fNVDsRjimXfA88884zKbdu2Vdn+ziLuvRvs85AU855vpAEAAAAA8ICFNAAAAAAAHrCQBgAAAADAg4Cqkbb1FeXKlVO5X79+KtuewbYv3+eff66y7Vl45syZhAwTqcjWQNjaM1sbGB0dHef92f6ftjbw559/Vvn06dMqZ86c2XWfdgyVKlVSuX///irbPsG2tok+ianH9i1s0aKFyrZvtK1bsnWDtsewr8uoiU469v196tQplX19BmzevFll29fb9oS1PZZt30qvcubMqXLVqlVd17HzrEuXLirb456tibZ7SUydOlXlcK07TCrr1q1T2dZM25r2GjVqxJltPeOKFStUTuycSwp2DPZ8rFq1aq7btG7dWmX72RcI/bOTgq9j+okTJ1RetWqVyiVLllTZ7gFkzyvsuVD27NlVtvXGtkdzctRI2z7RdswNGjRQ2R6vfe0PYY/h9jaB8F7wx9aO2z0v7P5OvthjhN0PxD53M2fOVDkQzzNsTbTtPf+f//xHZfs8+jpevPPOOyrH57n1im+kAQAAAADwgIU0AAAAAAAesJAGAAAAAMCDgKqRtj2BbU20rSuy9W22JnrEiBEq29oKBL+sWbOqbHuP+7NhwwaVn3jiCZX/97//qWxrMGyNhojIX3/9pfIrr7yictmyZVV++umnVX722WdVPnDggOsxkDLsfLJ1fr76EF9vzZo1Ks+bN891nePHjydobHCz9XG//vqryvYzxdYhiojMmTNHZfsaJnVtma3Db9iwocqDBw923SZPnjwq58iRQ+UjR46o/Nprr6lse9fbOm8kjp0jtvb36NGjKhcqVEjlDz/8UOUxY8bEeX+BUBfqr7e5/Xm4s32cbd17kSJFVLY1r7avtK2RtccE27vcng8nxRyyr7HdQ6ZUqVIqV6xYUeXDhw+r7Kufva0lP3bsmMqB8F6w7J4WQ4cOVdnWiv+///f/XPcxa9Ysle+77z6V06dPr7Ltyb5169b4DTYJ2c82u/+H/ax78cUXVbb7ZNnf0e79MW7cONcY7HxJDhzZAAAAAADwgIU0AAAAAAAesJAGAAAAAMCDVK2Rzpgxo8o9evRQ2fbjtT2Ef/zxR5Xt38dTEx36bC9G2//UzhnbK9H257R1Jf76WPqqx9m4caPK27dvV9nuBdCqVSuVp02bpvL333/v9zGRNGxNtO3N2b17d5XtMWz//v0q2xrd3377zfWY9OxNPrZn5IwZM1T21ac0pftr2l6rt99+u8qlS5d23cbfcc32jLW1+dREJy97jPZ3rtK3b1+V7WdEzZo1Vbb1r/ZzLBDYellfn6X2/RgqfaPjwx5nVq5cqbI9Nu3du1flW265ReXatWurbOuTK1eurHJKPNe2ptWOyR77bN24vb6I+9gXjOxrGxMTo/L999/vuo3dr8fWyNvPALtXz4IFC7wOU7HvZ197HtgaaFsLbs91be24vU97HF20aJHKHTt2VNnXfkJJ0R/dH76RBgAAAADAAxbSAAAAAAB4wEIaAAAAAAAPUqzYwFd/X6/1h7Zn2NixY1W2tagIPbauZ8qUKSrXqFFDZVtnnylTJpXr1Kmjsq3psL0dLXt/IiJNmzZV2faNtvUxtt6tUqVKKv/www8qUyOdfGw/V9vj29Yu2pqcl156SeWpU6eqTM/o1BWI7x07J9544w2VbS9OEfcxYvr06SoPHz5c5TNnziRmiEgkuw/C77//rnKfPn1Utq+57bebLVs2lQOhRjoqKkplWx978eJF121sv/Nwtm3bNpV37dqlsp0ztt+93VuhZMmSKtsezvnz51fZnoeI+N5Dwgtbn2rP3+yxb+HChSr7Ov8Khr7Rlu2P/eabb6ps10K33nqr6z7atWuncsGCBVW2r1WuXLlUtu9He337c3suZGvs7WeQiEi1atVUtnPS1zrwevZ8ytZ1v/zyyyrbPWlSC99IAwAAAADgAQtpAAAAAAA8YCENAAAAAIAHKVYjbXueiYj07t1b5eLFi6tsewSPGjVK5Z9//lnllO7/idRn6+JffPFFlTdt2qRyt27dVLY1r61bt1bZ9r2LD699Dm3dEP3PU47tW1i1alWVbR3ZmjVrVJ4wYYLKtiba9iUHLFtHaPcC6d+/v+s2tr/qvn37VLb9s5G6bB3nqlWrVLbnLva4ZPuz2lpEW18bH3be+auZLF++vMpt27ZV2dZ5FilSROXvv//eNYadO3fGb7BhyJ4XHD16VOW///5bZVtvbHsT25pWm20NrIjvXsFe2Hlvz222bt2qst3rwb5PREROnjwZ52MEIvtes7XAH3/8scq9evVy3Ydd//h7bUqUKKGy7VNu+auRtvs2JGRu2M8l20f+2WefVdme3wfqGo9vpAEAAAAA8ICFNAAAAAAAHrCQBgAAAADAgxSrkfZVN5olSxaV7d/c29vky5dPZfs3/Qg/tvbE1ooNGzZMZduX8P7771fZ9oCOjo5WOSF1If5qnWzdra39t7dH0rGvp60bu3DhgsovvPCCyr/++qvKZ8+eTcLRIRzZY5qvOntq74Ob7YVrawFtD2DbE9bWUNo+077Y+lQ7h+weNfb8rH379irbPra2R6zt8Tp//nzXmAK15jEQ2T7c9jzC9orfvXu3yhs2bFDZ1symRI306dOnVbb7QSxevFhlW/ct4v5MDka2f7qtDfa1n8Crr76qsn2/2ppm+/612R873+zxwlfvejtue5yz50v23DdYjwd8Iw0AAAAAgAcspAEAAAAA8ICFNAAAAAAAHrCQBgAAAADAgxTbbMwWnYv43nzievv27VN52rRpKtvNFQDLzpHp06ervGrVKpU7dOig8i233KKy3dTF12YcJ06cUHnevHkq//777yr/9ddfKttNQpBy7AYuO3fuVPnkyZMqnzt3LtnHBCC02I177r77bpVHjRqlct26dVVu3LhxnNkXu4mdzfazzG4Udf78eZXt5lV2k8wPPvhAZbuhGhLHvj52o0u7KZfduGvv3r0q23MhkaTfbMxunGo3H7ObcAXr5lNe2ffi0qVLXdd58MEHVbYbEN5+++0qJ/a1s+exdmOwPXv2uG7zzz//qGx/r1DdOJdvpAEAAAAA8ICFNAAAAAAAHrCQBgAAAADAgwjH/hH7ja4YEZG4B/Jxe/s3/tmzZ1fZ/j29rR21DcMRP/F8yRMtsXMmNaRLp7cNyJEjh8rZsmXzex923u7fv19lW2tm64gCUUrMmUCYLzlz5lQ5a9asKtu6Mvta4iqOMfAqnOdM+vTpVa5QoYLKH3/8scrx+Rzyyn4O2ZrIRYsWqfzrr7+qvHHjRpVtzW5yCOc5k1i2hjaxNbUJYedcSpwLhcu5DJJGfOYL30gDAAAAAOABC2kAAAAAADxgIQ0AAAAAgAcpViONwEFdEbyirghecIyBV8yZG7N7d6SE1Khf9Yo5A684l4EX1EgDAAAAAJDEWEgDAAAAAOABC2kAAAAAADxI+cIbAAAAxMulS5dSewgAAB/4RhoAAAAAAA9YSAMAAAAA4AELaQAAAAAAPIh3H2kAAAAAAMA30gAAAAAAeMJCGgAAAAAAD1hIAwAAAADgAQtpAAAAAAA8YCENAAAAAIAHLKQBAAAAAPCAhTQAAAAAAB6wkAYAAAAAwAMW0gAAAAAAeMBCGgAAAAAAD1hIAwAAAADgQUgspLdt2yYREREyfPjwJLvPefPmSUREhMybNy/J7hOBgfkCr5gz8Io5A6+YM/CC+QKvmDNJL9UW0p9//rlERETIsmXLUmsIyeqff/6RPn36SN26dSUqKkoiIiJk27Ztfm+3efPm2OuH6nOTEMyXfxUvXlwiIiJc/x577LGUHXSAY85oJ0+elP79+0uJEiUkMjJSChUqJB07dpQzZ86k3KADHHPmqmsnRjf699prr6X84AMUc+Zf586dk9dff10qVKggGTNmlEKFCsndd98ta9asSdlBBzDmy79OnTolTz/9tBQuXFgiIyOlfPny8sEHH6TsgINAqM+ZyZMnS6dOnSQmJkYyZswoZcuWlb59+8qxY8d8Xn/atGlSo0YNiYqKkqJFi8rAgQPl0qVLKTvo66RLtUcOcYsXL5Z3331XKlSoIOXLl5cVK1bE63Z9+vSRdOnSyfnz55N3gAgoXudLtWrVpG/fvuqyMmXKJOMIEWi8zJnjx49Lw4YNZdeuXdKzZ08pVaqUHDx4UBYsWCDnz5+XjBkzptzAkWriO2fKly8v48aNc10+btw4+emnn6R58+bJPFIECi/HmS5dusi0adPkkUcekRo1asiePXtk9OjRcsstt8iqVaukWLFiKTdwpIr4zpfLly9LixYtZNmyZfLEE09I6dKlZfbs2fL444/L0aNH5b///W/KDhyppmfPnlKwYEHp2rWrFC1aVFatWiWjRo2SmTNnyvLlyyU6Ojr2urNmzZL27dtLo0aN5L333pNVq1bJ4MGD5cCBA6n2nzAspJNJu3bt5NixY5IlSxYZPnx4vBbSs2fPltmzZ0v//v1l8ODByT9IBAyv86VQoULStWvXlBkcApKXOfP888/L9u3bZfny5VKiRInYy5999tkUGCkCRXznTL58+XweX15++WUpXbq03Hzzzck8UgSK+M6Z3bt3y+TJk6Vfv34ybNiw2Mvr168vt912m0yePFn69OmTQqNGaonvfJk8ebL8/vvv8umnn8qDDz4oIiK9evWSjh07yquvvioPP/yw5M2bNwVHjtQyadIkadSokbrspptukh49esj48ePl4Ycfjr28X79+UqVKFfnpp58kXbqrS9isWbPKkCFDpHfv3lKuXLmUHLqIBHiN9IULF+Sll16Sm266SbJlyyaZMmWS+vXry9y5c294m7fffluKFSsm0dHR0rBhQ1m9erXrOuvXr5eOHTtKzpw5JSoqSmrWrCnTpk3zO54zZ87I+vXr5dChQ36vmzNnTsmSJYvf611z8eJF6d27t/Tu3VtKliwZ79vhX+E0X0Su/r6nT5/2dBto4TBnjh07JmPHjpWePXtKiRIl5MKFC/zFSyKEw5zxZenSpbJp0ybp0qVLgm4fzsJhzpw8eVJErv4nzPUKFCggIqK+VULcwmG+LFiwQEREOnfurC7v3LmznDt3Tr7//nu/94F/BfOcsYtoEZEOHTqIiMi6detiL1u7dq2sXbtWevbsGbuIFhF5/PHHxXEcmTRpkt/HSg4BvZA+ceKEfPLJJ9KoUSMZOnSoDBo0SA4ePCgtWrTw+b9cX375pbz77rvyxBNPyPPPPy+rV6+W2267Tfbv3x97nTVr1kidOnVk3bp18txzz8mIESMkU6ZM0r59e5kyZUqc41m6dKmUL19eRo0aldS/qowcOVKOHj0qAwYMSPL7DhfhNF/mzJkjGTNmlMyZM0vx4sXlnXfeSfLHCAfhMGcWLlwo586dk1KlSknHjh0lY8aMEh0dLbfeemu8S07wr3CYM76MHz9eRISFdAKEw5wpWbKkFC5cWEaMGCE//PCD7Nq1S5YuXSqPPfaYlChRwrVgwo2Fw3w5f/68pE2bVjJkyKAuv1Zm9L///S/JHischNqc2bdvn4iI5M6dO/ayv/76S0REatasqa5bsGBBKVy4cOzPU5yTSsaOHeuIiPPnn3/e8DqXLl1yzp8/ry47evSoky9fPufBBx+MvWzr1q2OiDjR0dHOrl27Yi9fsmSJIyJOnz59Yi9r0qSJU7lyZefcuXOxl125csWpW7euU7p06djL5s6d64iIM3fuXNdlAwcO9PS7Dhs2zBERZ+vWrT5/vnfvXidLlizOmDFjHMeJ33MTbpgv/2rbtq0zdOhQZ+rUqc6nn37q1K9f3xERp3///p4eJ9QxZ6566623HBFxcuXK5dSqVcsZP3688/777zv58uVzcuTI4ezZs8fTY4Uy5oxvly5dcvLly+fUqlXL02OEA+bMv5YsWeKULFnSEZHYfzfddJOzd+9eT48TypgvV40YMcIREWfBggXq8ueee84REadNmzaeHiuUhdOcueahhx5y0qZN62zYsCH2smvzaceOHa7r33zzzU6dOnUS9FiJFdDfSF//v1VXrlyRI0eOyKVLl6RmzZqyfPly1/Xbt28vhQoVis21atWS2rVry8yZM0VE5MiRIzJnzhy555575OTJk3Lo0CE5dOiQHD58WFq0aCEbN26U3bt333A8jRo1EsdxZNCgQUn6ez777LMSExOj6gDgXbjMl2nTpkn//v3ljjvukAcffFB+++03adGihbz11luya9euJH2sUBcOc+bUqVMiIhIRESG//vqr3HfffdKrVy+ZOnWqHD16VEaPHp1kjxUOwmHOWL/++qvs37+fb6MTKFzmTI4cOaRatWry3HPPydSpU2X48OGybds2ufvuu+XcuXNJ+lihLBzmy3333SfZsmWTBx98UH7++WfZtm2bfPTRR/L++++LiMjZs2eT7LHCQSjNma+//lo+/fRT6du3r5QuXTr28mtzIjIy0nWbqKioVJszAb2QFhH54osvpEqVKhIVFSW5cuWSPHnyyIwZM+T48eOu617/hF9TpkyZ2K33N23aJI7jyIsvvih58uRR/wYOHCgiIgcOHEjW38f6448/ZNy4cfL2229LmjQB/3IEvFCfL75ERERInz595NKlS2Hbxy8xQn3OXKtNbNu2rWTOnDn28jp16kiJEiXk999/T9HxhIJQnzPW+PHjJW3atNKpU6dUHUcwC/U5c/z4calfv77ccsst8vrrr8sdd9whffv2le+++04WLlwoY8eOTdHxBLtQny/58+eXadOmyfnz56V58+ZSokQJeeaZZ+S9994TEVGfVYifUJgzCxYskIceekhatGjharN47VzG1x4v586dS7V9GAJ61+6vvvpK7r//fmnfvr0888wzkjdvXkmbNq28/vrrsnnzZs/3d+XKFRG5uutbixYtfF6nVKlSiRqzV/3795f69etLiRIlYifwteL8vXv3yo4dO6Ro0aIpOqZgFQ7z5UaKFCkiIlf/FxHxFw5zpmDBgiLi3gRIRCRv3rxy9OjRFB1PsAuHOXO9s2fPypQpU6Rp06Y+5xD8C4c5891338n+/fulXbt26vKGDRtK1qxZZdGiRdKrV68UHVOwCof5IiLSoEED2bJli6xatUpOnz4tVatWlT179ogI7Ty9CoU5s3LlSmnXrp1UqlRJJk2apDYUE/l348K9e/fGnvNes3fvXqlVq1aSjie+AnohPWnSJImJiZHJkydLRERE7OXX/jfE2rhxo+uyDRs2SPHixUVEJCYmRkRE0qdPL02bNk36ASfAjh07ZPv27aolzTXt2rWTbNmy3bApObRwmC83smXLFhERyZMnTyqPJLiEw5y56aabRER8/hnWnj17UqVdRDALhzlzvWnTpsnJkyf5s+5ECIc5c22TosuXL6vLHceRy5cvy6VLl1JjWEEpHObLNWnTppVq1arF5l9++UVEJODGGeiCfc5s3rxZWrZsKXnz5pWZM2f6/IuEa/Nk2bJlatG8Z88e2bVrl/Ts2TPZx+lLQP8tcdq0aUXk6oH4miVLlsjixYt9Xn/q1KnqZHHp0qWyZMkSadWqlYhc/falUaNGMmbMGNm7d6/r9gcPHoxzPF62c4+vjz76SKZMmaL+/ec//xERkeHDh8fulAr/wmG+HDlyxHWicvHiRXnjjTckQ4YM0rhx4yR7rHAQDnOmbNmyUrVqVfn+++/V/f7000+yc+dOadasWZI9VjgIhzlzva+//loyZswY244E3oXDnLn2DeKECRPU5dOmTZPTp09L9erVk+yxQl04zBdfDh48KEOHDpUqVaqwkPYomOfMvn37pHnz5pImTRqZPXv2Db8QqlixopQrV04++ugjdR78wQcfSEREhHTs2NHvYyWHVP9G+rPPPpMff/zRdXnv3r2lTZs2MnnyZOnQoYO0bt1atm7dKh9++KFUqFAhdgOd65UqVUrq1asnvXr1kvPnz8vIkSMlV65c0r9//9jrjB49WurVqyeVK1eWRx55RGJiYmT//v2yePFi2bVrl6xcufKGY126dKk0btxYBg4c6LeA/vjx47G1HosWLRIRkVGjRkn27Nkle/bs8uSTT4qISPPmzV23vfYNdMOGDV3bvIe7cJ8v06ZNk8GDB0vHjh2lRIkScuTIEfn6669l9erVMmTIEMmfP7/f5zDchPucEbnaL7JZs2ZSr149efTRR+X48ePy1ltvSZkyZfhzSx+YM1cdOXJEZs2aJXfddRc1i36E+5xp27atVKxYUV555RXZvn271KlTRzZt2iSjRo2SAgUKyEMPPeT3OQwn4T5fRK6e495yyy1SqlQp2bdvn3z00Udy6tQpmT59OnsG+RCqc6Zly5ayZcsW6d+/vyxcuFAWLlwY+7N8+fKp/+wfNmyYtGvXTpo3by6dO3eW1atXy6hRo+Thhx+W8uXLx/k4ySYltwi/3rXt3G/0b+fOnc6VK1ecIUOGOMWKFXMiIyOd6tWrO9OnT3d69OjhFCtWLPa+rm3nPmzYMGfEiBFOkSJFnMjISKd+/frOypUrXY+9efNmp3v37k7+/Pmd9OnTO4UKFXLatGnjTJo0KfY6id3O/dqYfP27fuxxPTe0v/oX8+WqZcuWOW3btnUKFSrkZMiQwcmcObNTr14959tvv03I0xrSmDPazz//7NSpU8eJiopycubM6XTr1o22NAZzRvvwww8dEXGmTZvm5WkMK8yZfx05csTp06ePU6ZMGScyMtLJnTu307lzZ2fLli1en9aQxXz5V58+fZyYmBgnMjLSyZMnj3Pfffc5mzdv9vqUhrxQnzNx/W4NGzZ0XX/KlClOtWrVnMjISKdw4cLOgAEDnAsXLnh5SpNUhONc93cAAAAAAAAgTvztBAAAAAAAHrCQBgAAAADAAxbSAAAAAAB4wEIaAAAAAAAPWEgDAAAAAOABC2kAAAAAADxgIQ0AAAAAgAfp4nvFiIiI5BwHUlBKtQ5nzoSOlJgzzJfQwTEGXjFn4BVzBl5xLgMv4jNf+EYaAAAAAAAPWEgDAAAAAOBBvP+0G76lSRP3/0VcuXIlhUaCUJE7d26Vs2fPrvKlS5dU3rFjh8rMOQAAACB58Y00AAAAAAAesJAGAAAAAMADFtIAAAAAAHhAjbQfadOmVTlXrlwq161bV2VbvzpjxgyVU6pdA4JHyZIlVZ41a5bKxYoVU9nOscGDB6v8+uuvJ+HokJTSpfN+yLU179TAI7nZvT9sOxdfn2PMy8Dhb+8WEV4v+BcZGalygQIFVD5x4oTKR44cSfYxhYP06dO7LitUqJDK9lzCPvcnT55U+eLFi0k0utRj52OWLFlUzpQpk+s2e/bsUTk5nge+kQYAAAAAwAMW0gAAAAAAeMBCGgAAAAAADyKceBbt2hqpUJQ3b17XZfXr11e5c+fOKterV09lW5fQvHlzlbdt25aIESaNlKrTDoc5kxBVq1ZVedKkSSrHxMSobGtfsmbNqvKWLVtUrly5susxbV21VykxZ4JxvthaRLuHQpEiRVRu3bq13/uw/v77b5UXLVqk8oEDB/yOM6VxjLkxf/XHly9fTsnhiIi79qxZs2Yq230cNm3a5LqPVatWqWz72/vDnEk4W1NpawdF3L/3qVOnVL5w4YLKwbCfC3Mm6dhjgIjInXfeqfJTTz2l8rRp01R+++23VT537lwSjS7pBMO5TO7cuV2X3XvvvSpnzpxZ5T/++ENlezw+dOhQosaUGuzzaPcLsue6RYsWdd3HxIkTVbbn0/72iojPfOEbaQAAAAAAPGAhDQAAAACAByykAQAAAADwIKz6SNsaEFv/Yes7RNx9yebMmaPyxx9/rHKVKlVUvuOOO1QeNWqUyqlRD4eUlTFjRpXtHChRooTKtibWXv+FF15Q+fTp04kdIm7A9pFv06aNyl26dFG5QYMGKttaxX379rkew9av58yZU+Xs2bOrvHz5cpVvvfXWOO8PqcvWeeXIkUPlqKgolW0tm61dFUl8nZ+t07bztG3btirbWrSFCxe67tPW3O7cuVPlYKi5DVZly5ZV2R6nRNx17vZcZvHixSoHwn4uSD72uFOqVCnXdfr166ey3d8lOjpa5RkzZqhsz2Xgm12b+NpL5fnnn1c5W7ZsKs+ePVvl77//XuUJEyaofP78ec/jTG72XLlgwYIqDxw4UOXatWurnCFDBtd9/vPPPyovW7ZM5WPHjnkdpgvfSAMAAAAA4AELaQAAAAAAPGAhDQAAAACAByykAQAAAADwIKQ3G7MF/DVr1lS5f//+fu9j0qRJKr/22msq79ixQ2VbHG+bfbO5WOiz827MmDEq161bV+XNmzer3KpVK5XtJj1DhgxR+YsvvlCZzaaSTqNGjVQeMWKEyoULF1Z5/fr1Ko8bN05lu+GHiMjx48dV7tq1q8p2kxG7+RgCi92gLleuXCq/8sorKsfExKg8duxYle0mUCKJ3wjKHqOKFi2qsp33mTNnVvnDDz903ef27dtVZnOx5GPnmN1srHr16q7b2I1Q7X3YzeLsuY09l0Fws8clX3PGbo5ZrFgxlcuUKaNyhw4dVN6wYYPK586d8zzOUJQunV56FShQQOUnnnjCdZt8+fKpbDexbNasmcp2E9u//vpL5dTYCM6O2c6nHj16qFytWjWVW7RoobL9HPP1uWg370yOOcg30gAAAAAAeMBCGgAAAAAAD1hIAwAAAADgQUjVSNuaH/v39C+//LLKtq7oqaeect3ntGnTVD548KDKtg4ssbVrCH6dO3eOM9sajbvvvltlW9Px5JNPqmxram2NNOLPHjNat26t8ieffKKyfe4fffRRlSdOnKhyQupxXn/9dZXvu+8+z/eB1JM+fXqV8+fPr/LNN9+ssq1PtrWpJ06ccD1GYutXbc2zrVWzPz9z5ozKa9eudd2n/WxE0kmTRn/nkTNnTpU7deqkcoMGDVz3kSNHDpVtvaKtcf/xxx9VpkY6tBw4cEDlGTNmuK7z559/qmz3CGrXrp3Kbdu2VdnuEbJlyxbP4wwHtmY6Ojra831ERUWpbOuuS5YsqfLq1atVTo73tz2/sjXNt956q8rt27dX2f4O9vb2GOZrf6CzZ8+qnBz7VPGNNAAAAAAAHrCQBgAAAADAAxbSAAAAAAB4ENQ10vbv423ftAceeEDlihUrqmxrgmw9tIi7jgThzdY/VqhQwXWdoUOHxnkfb775psqrVq1S2daqTJ48WeWpU6eqTF1+/Nmaneeee07lhx56SGVbE92yZUuVbc1XUvTOtXVBth7SHqeoXQwstia6SZMmKpcrV05le0zJkiVLnD9PCkWKFFHZ9ra3vcptj+Fjx4657vP8+fNJMja42RrpTJkyqWzPfewcEnGfL2XIkCHO29i6zYsXL8ZvsAgK9vU8cuSI6zonT55U2dbV2ppoe1ypWrWqyvZcJVw/u+zvbZ/7r7/+2nWbRx55RGV/9cN2T4RKlSqp/MMPP8Q5Jn98fS4VKlRI5Zo1a8Y5hm7duqlcvHhxle0xy7L1zvH5XEqKczSLb6QBAAAAAPCAhTQAAAAAAB6wkAYAAAAAwIOgrpGuXLmyyrafrq2JtvUdtoaaemj4U6VKFZW/+eYb13Xy5s2r8vjx41V+4403VPZXm2J7xiL+/NW0P/HEEypny5ZN5Z49e6qcHDXRlq1dtLVMtpdnuNaZBSpbq2brjW2969GjR1X+v//7P5V///1312N4fc1tvWvjxo3jzPb6SF2JrW8W8V9nbesTbS9xW2vIcSf02c83W4Nq66xtXa7de8H2Jrc9fsOFvxrp9957z3Wb3Llzq9yhQweV/dUX2/e/v5/b/WRy5cqlsu1LLSIyePBgle35lj1O2d7Xlq2Btvta2f2Fxo4d67qPvXv3quyr13Ri8Y00AAAAAAAesJAGAAAAAMADFtIAAAAAAHgQVIVQ9m/677zzTpVLlSql8oIFC1R+9913VV6/fn0Sjg6hyNal2JpoX3Uitm7o1VdfVZl+q8nD1vSIiPz3v/9VuVevXirbGptRo0apbHs2J0dNtJUxY0aV+/Xrp/Lhw4eTfQyIP/u5ZOvAbK2pnUO2R/PWrVtVtr1cE8LuFWB7Xds6bn/9O5G8bL2ifX3s/i+2NtXXsdDrfdr9ImwtPzXSoc++xrYP9OnTp1XOmTOnyra/OXX38ePrHNF+Tnjt626P6bY+2WZ7TLH7A9ke4SIi5cuXV9nWVdtjkGV/7+PHj6ts13Tz5s1T+Y8//nDd54ULF+J8zKTAN9IAAAAAAHjAQhoAAAAAAA9YSAMAAAAA4EFQ1Ujbv7fv2rVrnNefNWtWnNnWGNg+bCLuugRbn5gSNZNIPY0aNVI5JiZGZV+1hN9++63KtvcdkkexYsVclz322GMqZ82aVWVbEz1jxgyVU+P9/ffff6tM3VhgsXVeti7Q9iavX7++yrZ+1fa1tHVhXmvhRNx9hAsUKKCy7Rttf27nPXMwZSW257O/WkQR/31kAfu+X7t2rcq2r7TdU6ZSpUoq27pbe3uOM1f5Ou/w+tzY97c9P+rfv7/KZcuWVdnWRNvXzu4FIuK/L7R16NAhle35l62Btms4+1mZWvsPceQEAAAAAMADFtIAAAAAAHjAQhoAAAAAAA+Cqkba9j0sUqSIynv27FHZ9hyzdWO259mYMWNcj/nXX3+pPGDAAJXp6RpaIiMjVe7SpYvKto7M1jeKiLzzzjsq0zc6eeTNm1floUOHuq5ja6InTpyo8vTp01W+fPlyEo0u4agTC2z2GGDnmO3Hmy9fvjjvLzleb3scs3Xc9rPU9pm2ddl2rxBfxz0kHft62P1hChUqFOf144M6eHhlPx/97SFijzv22Gh7kx88eDARo8P17F4cd955p8r2mGGzr170/tj5YNdHtib+q6++Utmuwez1A/Vcmm+kAQAAAADwgIU0AAAAAAAesJAGAAAAAMCDoKqRtnVZ9u/lbS/MCRMmqGz/fj9//vwq79692/WY8+fPV9nWiiG0VK5cWeXWrVurbGuEbN87EZFVq1Yl/cDg0qpVK5Vtv14RkV9++UXl1157TeVAqIlGYLP9OG0P33r16sX58+joaJVt3ZjtzXrixAmV49PL3NazNW3aVOX27durbGtsbd33hg0bVP7hhx9U3rdvn2sM1E0nHdujtUSJEirbOZaQHtD29aIOHollj5XZsmVT2faVtudK1EgnH9tr3r5WScGuyRYvXqyy/Vyx+1jZz8ZgOQbxjTQAAAAAAB6wkAYAAAAAwAMW0gAAAAAAeBBUNdJ79+5VecSIESp3795dZX91RLY+cvDgwa7HnDp1qsqB2scMCRMVFaXyxx9/rLLtPb5y5UqVBw4c6LpP5kjysLWmL774osp58uRx3WbevHkqb9u2LamHFXTsnC5atKjrOlWqVFF5xYoVKofT85ghQwaVa9eurXKTJk1UtvWt9nPnzJkzKu/Zs0dlW+9sH1/EXTtm+0ZXq1Ytzuyvb7R9ve1xz14fScvu32L775YqVUrl+NRI2z7RtiZ6+/btKp8+fTrO2yP82OPOyZMnVbb7Odg63ITU8iNh7HOf2Jro+PSd//XXX1Xu27evynYNd/bsWb/3GQyY1QAAAAAAeMBCGgAAAAAAD1hIAwAAAADgQVDVSNva02HDhqm8Y8cOld98802Vc+bMqfLWrVtVnjVrlusx7d/wI7TYPtG2z+G5c+dUvv/++1WmZ3TKKV26tMq2b7yvHpTff/+9ysndl9BfXVJS1IjZ+7Q9gW0NtO3l2ahRI5Xvvfde12MUKVJEZdtHuGfPnioHa22TL/b5s/Osd+/eKpcvX15lW69sZc2aVWVbc/3GG2+ofODAAdd92Dpr2yO0Q4cOKtvfwb5eu3fvVnn06NEqr1u3TmX6ryctO+ds3X2bNm1UtsdCy1c9pH3Njx07pvKaNWvi/HkovceRMPv371fZ7kFStWrVFBxN6PL1/g2F+nJ7DAmVY0rwvzIAAAAAAKQgFtIAAAAAAHjAQhoAAAAAAA9YSAMAAAAA4EFQbTZmed3wxG5GNHjw4Dh/jsBjN/K5/fbb47z+zp07Vbabi/Xo0UPltGnTqnz8+HGV77rrLpXbt2/veky7id3y5ctVtpu62Eb3uMpurjFgwACV06dPr/JXX33luo8tW7YkagxRUVEq9+rVS+Xs2bOrXKxYMZWzZMmist3MLikULlxYZfu82PllNzbyteHHkSNHVN68ebPf24QKu9FLhgwZVLabhdmf29vb59/OiTJlyqhsN4+zGx6KuDfNs6+53VzMjtHep91Yyr7+dqNPJC+7eZzN9j1sJeQzxb6n+VyCdfHiRZVPnjypMnMmadjzChGRihUr+r3O9ZL7tfC1+ZndJHHgwIEq//jjjypPnjxZ5WDd3JlvpAEAAAAA8ICFNAAAAAAAHrCQBgAAAADAg6CukW7Tpo3KQ4YMUfnEiRMqv/TSSypPmjRJZeo7Al/Xrl1Vfu+991S2tYKWrYH2J2fOnCrbOl1fbK2Zrfvo2bOnyt98842nMYULW4NTuXLlOK9v67WSgq35eeWVV1S2Nfu2PtZmX3VF/hw6dEjlo0ePqrxr1644b797926Vba3V77//7rrN+PHjVZ47d67fcYaKHDlyqFylSpU4f26PKXbvDn/15BkzZowz++KvRtayn20bNmxQedq0aSrv2bNHZVuTjaRljxP29bXHDX/HGV/nMvYyOy9Ded8DIJhkypTJdZndf8Xum+CVPR7YY0hC2POhOnXqxHn9JUuWqGz3F/K6D1Zq4RtpAAAAAAA8YCENAAAAAIAHLKQBAAAAAPAgqGqkbS1a586dVba1a19//bXKU6dOVZnemMHH9gpesGCBys8//7zKDRo0ULlEiRIq27oQW8/8wQcfqGzr7hPC9v+z9W/UqvmWkPrixLI9v9etW6dytmzZVLavrb/XWsQ9B2096n333afy/PnzVfY3X2y9Zb58+VTet2+f6zbhcmz0VRdmezDb3t/+atNsD+ZTp06pbHux+uNr3wfba9rf3hAXLlxQecWKFSqvXLlSZa9jhDf2OGCPE/56xtrbx2d/F9sr3B7bVq9erTKfQ0Dq8LUHRtasWVX2d8y3duzYobLdJyN//vwqlypVSuWoqCi/j2E/T2NiYlS2n1v2s/Tzzz9X2X4ubd++XeVA2deKb6QBAAAAAPCAhTQAAAAAAB6wkAYAAAAAwIOgqpG2PX3r16+vsu05ZvurhkvdXyizr6Gt83jmmWdUrlGjhsozZsxQ2dbdz549W2Xbezwp5pC/fp7w7fjx43H+3NYQicSvv2pcbE3OPffco7KtZbK9rm0P4g4dOrgeo0yZMirbWqQePXqovGnTJpW3bdvmus/r2Zpr+zuFE1tbaj9TRESefvpple3nTIYMGVS2fb5tr3lbj2xrVS07p4oUKeK6zpgxY+K8jp3ntpf46NGjVba1/8HSvzNY2Xlo+8b66xmbkP0iTp48qbLt2WqPC3wuwbJ1uVmyZFE5sZ+3uMqelybEuXPnVLb1x2PHjlXZ7vdy9913q/zII4+obPdtEHF/Ntr5YM9t2rRpo7LdG8L2mX7xxRdV3rt3r8qptcbjG2kAAAAAADxgIQ0AAAAAgAcspAEAAAAA8CCoaqTt3/DbvtE7d+5U+bffflPZ1goi9Jw5c0blunXrqmxrT2x9Y9++fVU+ffp0Eo4OXvjrp/z777+r/Nhjj7nuw/ZctjXy/o4JtsbLXz2yrV+eMmWKykOHDnXdply5cir/+OOPKtu6bLsvwKuvvhrnmPAvW1vqqye0rdOyfbdtT2bbh3vZsmUq2zlha9es+PQHtfPWzlPbB9rWZdte1+wfkrpsXXxie8b6qm+2tfr2+GnPnxBYAqH+2NZElyhRQmU7RjsPqbuPH1+fS/6OAfa5tXsi2D7xtr74wIEDKtvzkHr16qlse0KLiBQuXFhlf72n7fm4vc/atWurbPegOXXqlMrUSAMAAAAAEARYSAMAAAAA4AELaQAAAAAAPAiqGmnL9rqcOnWqyrY3JkKPrcmxfaRtzbM1b948lf3VwCL12NfG5ptuusl1myeffDLO+5w+fbrKyd0/11d97KpVq1RetGiRym3btlU5IT1kcZWtM/PVRzp37twqR0ZGqrxr1y6Vf/nlF5X/+ecflc+ePZuoMdoewyLumlpr//79KtvjnK2PY/+Q0OKrFtVf32hbb4iUZY8zdm8GW4/8559/qmz3h0mOMbVq1UplWzdrP5vsHjS2Tvf48eOJHWJIsMfzBg0auK5j54O9jd0X4+jRoyr//fffKtu9PqylS5eq/MADD6js67OzXbt2Knfv3l3lAgUKqGznV3R0tMrFihVTuVq1airbNZ6dbymFMzIAAAAAADxgIQ0AAAAAgAcspAEAAAAA8CCoa6RtHz3b8zcp6r5szYfX+kRqz5KXrcl49tlnVbZ97GyvvOeee05l+hwGLvteuvfee1UeNGiQ6zadO3dW2dZ0TZgwQeWRI0eqvGbNmjjHkBTsnLO13/Y4xxxNOFtn5qsWLU+ePCrbXpe2Fs3267Q/98qOsX79+q7r2DH6q03cvXu3yokdI5KXfY977Rns6/W1/c5tb3HmROqy9aPt27dX+aGHHlL5u+++U3ny5Mkqb9y4UWX7+tq9GHz1Lq5YsaLKffr0UdnuJ2H7+M6aNUtlu/+H7WePq2wfeRH/faTt+9nWo9uaaX/sfPG3R42IyIYNG+K8j5YtW6pcs2ZNlW3dt51Pdh+HQFlf8Y00AAAAAAAesJAGAAAAAMADFtIAAAAAAHgQ1DXStnbN9hizPchs38Ts2bOrXKhQIddj2N59MTExKtu6EluDO2bMGJWpb0yc4sWLq/zWW2+pbGuibd9eW+OzZcuWpBscUtTmzZtVfvjhh13XsT1+n376aZXvu+8+le+55x6VbZ/CGTNmqGzrktauXauy7SHcsGFD1xjtceixxx6L8z6///57130g6dh6VFuHZXNyH9N91cfafue2h6ytj9u0aZPKfA6lLvv82366tre8rZm0PVxtLaJ9vUVEfv75Z5X37NmjcqDUG+Iq+x63r3nfvn1V7tChg8r29bZ7OWTJkkVle24lIlK9enWVCxcurLI9NtnPS7vnyMGDB+O8Pa7ydXz291zZ19f2jU+JPvH2fOePP/6I8/r58+dX2a6n9u7dq7I9rqXE7xQffCMNAAAAAIAHLKQBAAAAAPCAhTQAAAAAAB4EVY20reGxdUHNmjVTecSIESqvXLlS5QoVKqhs60FERDJmzKiy7eVmaz7mzJnjug8knSeeeEJlW8Nue4kPHz5cZds3GKHD9hwUcb/ef/31l8rdunVT2R5DKleurHKVKlVUtscgWzNt69xsj2ARkYiICJVtb80333xT5X/++cd1H4gf20vX1hGKuI8pdp+FnTt3qmzrWRNbf2zrwhJSE29vY39vaqRTl33+bX2jPU7Zfr32OGJrBe25joh7DtA3OrDYXu/ffPONyidOnFB5wIABKtuez+XLl/f0+LYXva/L7PmV3YNk7NixKq9fv15laqJ9s8cDu8eFiMihQ4dUtnurLF++XOXff/9dZV/nR0nNnu/MmzdP5cWLF6tsj1O2j7Stiba90S9cuJCQYSY5vpEGAAAAAMADFtIAAAAAAHjAQhoAAAAAAA9YSAMAAAAA4EGEE8/qf7shTmqwY7jvvvtU7tevn8plypSJ8/7279+v8rJly1zX+fbbb1W2Bf12Yxhb0B+Im7qk1IYPiZ0zduMBEffGPmXLllX57bffVvmll15S2W6WgfhJiTkTCMeYqKgole2GhK1bt1Y5W7Zscf7czrcZM2a4HtNuUDZ+/HiVDxw4cOMBB6hAPcbYzXPshi0i7g3l7Otjs90EyG4W55X9nTJkyOC6ToECBeK8D/u5ZDdlCcRNfwJ1zqSGnDlzqpw1a1aV7Wej3YjVbj4mInL48GGVA3EOeBVOcyY6OlrlO++8U+XevXurbD+bEsJugvfDDz+oPG7cOJW3b9+ust18KhAEw7mM3VxQROTee+9VOXPmzCr/8ccfKttzZbtZWSDwtcHd9QJh/RSf+cI30gAAAAAAeMBCGgAAAAAAD1hIAwAAAADgQVDVSFuRkZEq23rZJk2axHn7+fPnq7xjxw7XdWy9WyDWfHgVLHVFvmqkFy1apHK1atVUfu6551R+7733VLa1ZIifYKgrSgl2TqZPn17lQoUKqWzn2+7du133aZ/bUJijwXKMic99hkItaTAI5jmT1GztoB2zv9/BV21hINQbJrVwnjP2/Nfum+Dr/Mkr+1m0b98+lc+dO5fox0hpwXAuY88rRNznFvb1tWsVW99+8eLFRI0pXFEjDQAAAABAEmMhDQAAAACAByykAQAAAADwIKhrpP3xVyMSCrWICRHMdUW2v57tA7tz506VbV9vJEww1BUhcATzMQapgzkDr5gz8IpzGXhBjTQAAAAAAEmMhTQAAAAAAB6wkAYAAAAAwIOQrpGGb9QVwSvqiuAFxxh4xZyBV8wZeMW5DLygRhoAAAAAgCTGQhoAAAAAAA9YSAMAAAAA4EG8a6QBAAAAAADfSAMAAAAA4AkLaQAAAAAAPGAhDQAAAACAByykAQAAAADwgIU0AAAAAAAesJAGAAAAAMADFtIAAAAAAHjAQhoAAAAAAA9YSAMAAAAA4AELaQAAAAAAPGAhDQAAAACAByGxkN62bZtERETI8OHDk+w+582bJxERETJv3rwku08EBuYLvGLOwCvmDLxizsAL5gu8Ys4kvVRbSH/++ecSEREhy5YtS60hJKvJkydLp06dJCYmRjJmzChly5aVvn37yrFjx1zXnThxonTt2lVKly4tERER0qhRoxQfb6Bjvlx1+PBhGTZsmDRo0EDy5Mkj2bNnlzp16sjEiRNTZ+ABjDnzrz59+kiNGjUkZ86ckjFjRilfvrwMGjRITp06lfIDD2DMGd82b94sUVFRIf3cJBRz5l/FixeXiIgI17/HHnss5QceoJgv2smTJ6V///5SokQJiYyMlEKFCknHjh3lzJkzKTvwAMacueragv1G/1577bVUGX+6VHnUMNCzZ08pWLCgdO3aVYoWLSqrVq2SUaNGycyZM2X58uUSHR0de90PPvhA/ve//8nNN98shw8fTsVRI7XEd74sXrxYXnjhBbn99ttlwIABki5dOvnuu++kc+fOsnbtWnn55ZdT+TdBSvFyjPnzzz+lfv368sADD0hUVJT89ddf8sYbb8gvv/wi8+fPlzRpQuKPk+CHlzlzvT59+ki6dOnk/PnzKTxipDavc6ZatWrSt29fdVmZMmVScshIRV7my/Hjx6Vhw4aya9cu6dmzp5QqVUoOHjwoCxYskPPnz0vGjBlT8TdBSonvnClfvryMGzfOdftx48bJTz/9JM2bN0/poYsIC+lkM2nSJNc3yzfddJP06NFDxo8fLw8//HDs5ePGjZNChQpJmjRppFKlSik8UgSC+M6XihUrysaNG6VYsWKx13v88celadOmMnToUOnfv79kypQpJYeOVOLlGLNw4ULX7UuWLCn9+vWTpUuXSp06dZJ7uAgAXubMNbNnz5bZs2dL//79ZfDgwSk0UgQKr3OmUKFC0rVr1xQcIQKJl/ny/PPPy/bt22X58uVSokSJ2MufffbZlBouAkB850y+fPl8HltefvllKV26tNx8880pMVyXgP4a4sKFC/LSSy/JTTfdJNmyZZNMmTJJ/fr1Ze7cuTe8zdtvvy3FihWT6Ohoadiwoaxevdp1nfXr10vHjh0lZ86cEhUVJTVr1pRp06b5Hc+ZM2dk/fr1cujQIb/X9fXn2R06dBARkXXr1qnLixQpwjdCSSAc5kuJEiXUIlpEJCIiQtq3by/nz5+XLVu2+H0s/Csc5syNFC9eXETE75/1QgunOXPx4kXp3bu39O7dW0qWLOn3/uFbOM0Zkau/7+nTp/3eN3wLh/ly7NgxGTt2rPTs2VNKlCghFy5c4C9eEiEc5owvS5culU2bNkmXLl38Pk5yCejV24kTJ+STTz6RRo0aydChQ2XQoEFy8OBBadGihaxYscJ1/S+//FLeffddeeKJJ+T555+X1atXy2233Sb79++Pvc6aNWukTp06sm7dOnnuuedkxIgRkilTJmnfvr1MmTIlzvEsXbpUypcvL6NGjUrQ77Nv3z4REcmdO3eCbo+4hfN8YW4lTDjNmUuXLsmhQ4dkz5498tNPP8mAAQMkS5YsUqtWrQQ9VrgKpzkzcuRIOXr0qAwYMCBB942rwmnOzJkzRzJmzCiZM2eW4sWLyzvvvJOgxwhn4TBfFi5cKOfOnZNSpUpJx44dJWPGjBIdHS233nqrz98RcQuHOePL+PHjRURSdSEtTioZO3asIyLOn3/+ecPrXLp0yTl//ry67OjRo06+fPmcBx98MPayrVu3OiLiREdHO7t27Yq9fMmSJY6IOH369Im9rEmTJk7lypWdc+fOxV525coVp27duk7p0qVjL5s7d64jIs7cuXNdlw0cODAhv7Lz0EMPOWnTpnU2bNhww+tUrFjRadiwYYLuP5QxX27s8OHDTt68eZ369esn6HFCFXNGW7x4sSMisf/Kli2rHhvMmevt3bvXyZIlizNmzBjHceL33IQj5sy/2rZt6wwdOtSZOnWq8+mnnzr169d3RMTp379/gh4nFDFfrnrrrbccEXFy5crl1KpVyxk/frzz/vvvO/ny5XNy5Mjh7NmzJ0GPFYqYM75dunTJyZcvn1OrVq0EPUZSCeiF9PUuX77sHD582Dl48KDTunVrp1q1arE/uzYx7r33Xtftateu7ZQtW9ZxnKsLjoiICOfVV191Dh48qP69/PLLjojETixfEyMxxo8fH68PFBbSvjFfbvx7tmzZ0smQIYOzYsWKJHnsUMGc0Y4fP+78/PPPztSpU53+/fs7NWrUcH744YckeexQwZz5V/fu3Z2qVas6ly9fdhyHhfSNMGdu7MqVK06LFi2cdOnSOTt37kySxw92zJerXnnlFUdEnNy5czsnT56Mvfzaf/i+8MILSfL4oYA549vs2bMdEXHeeeedJHnchAr4hfTnn3/uVK5c2UmfPr36NqVEiRKx17k2MV566SXX7bt16+ZERkY6jvPv/7jE9W/58uWO4yTtxJg/f74TFRXltGjRwrl48WKc12Uh7RvzxbfHH3/cERHnyy+/TPTjhhrmTNzGjx/vpEmThv+AuQ5z5qrFixc7ERERzpw5c2IvYyHtG3Mmbj/++KMjIs64ceMS/fihgPly1bBhwxwRcR544AHX7UqUKOE0btw40Y8fKpgzvnXv3t1Jmzats2/fvkQ/bmIE9K7dX331ldx///3Svn17eeaZZyRv3rySNm1aef3112Xz5s2e7+/KlSsiItKvXz9p0aKFz+uUKlUqUWO2Vq5cKe3atZNKlSrJpEmTJF26gH7Kg1q4zZeXX35Z3n//fXnjjTekW7duSTqOcBFuc+Z6d955p3Tr1k0mTJggVatWTdIxhbJwmDP9+/eX+vXrS4kSJWTbtm0iIrGbxuzdu1d27NghRYsWTdIxhbJwmDM3UqRIEREROXLkSJKOJ5SFw3wpWLCgiFzdidnKmzevHD16NEnHE+rCYc5c7+zZszJlyhRp2rSpzzmUkgJ6VTdp0iSJiYmRyZMnS0REROzlAwcO9Hn9jRs3ui7bsGFD7O60MTExIiKSPn16adq0adIP2Ni8ebO0bNlS8ubNKzNnzpTMmTMn+2OGs3CaL6NHj5ZBgwbJ008/TauIRAinOWOdP39erly5IsePH0/GEYaecJgzO3bskO3bt6uWNNe0a9dOsmXLxm7vHoTDnLmRa50k8uTJk1zDCznhMF9uuukmERHZvXu362d79uyRcuXKJfs4Q0k4zJnrTZs2TU6ePJm6m4z9/wJ61+60adOKiIjjOLGXLVmyRBYvXuzz+lOnTlVvyqVLl8qSJUukVatWInL1f7kaNWokY8aMkb1797puf/DgwTjH42U793379knz5s0lTZo0Mnv2bD5EUkC4zJeJEyfKU089JV26dJG33nrL733jxsJhzhw7dkwuXrzouvyTTz4REZGaNWv6fSz8KxzmzEcffSRTpkxR//7zn/+IiMjw4cNjd0pF/ITDnDly5IhcvnxZXXbx4kV54403JEOGDNK4cWO/j4WrwmG+lC1bVqpWrSrff/+9ut+ffvpJdu7cKc2aNfP7WPhXOMyZ63399deSMWPG2DZZqSnVv5H+7LPP5Mcff3Rd3rt3b2nTpo1MnjxZOnToIK1bt5atW7fKhx9+KBUqVJBTp065blOqVCmpV6+e9OrVS86fPy8jR46UXLlySf/+/WOvM3r0aKlXr55UrlxZHnnkEYmJiZH9+/fL4sWLZdeuXbJy5cobjnXp0qXSuHFjGThwoAwaNCjO36tly5ayZcsW6d+/vyxcuFAWLlwY+7N8+fKpg8T8+fNl/vz5InJ1cp4+fVoGDx4sIiINGjSQBg0axPlY4STc58vSpUule/fukitXLmnSpInrhLZu3bqx/5OIq8J9zsybN0+eeuop6dixo5QuXVouXLggCxYskMmTJ0vNmjWla9eu/p7CsBPuc6Z58+au2177Brphw4b854sP4T5npk2bJoMHD5aOHTtKiRIl5MiRI/L111/L6tWrZciQIZI/f35/T2FYCff5InK1j3GzZs2kXr168uijj8rx48flrbfekjJlykivXr3ifJxwxJy56siRIzJr1iy56667AuMvfVOrOPta8fyN/u3cudO5cuWKM2TIEKdYsWJOZGSkU716dWf69OlOjx49nGLFisXe17Xi+WHDhjkjRoxwihQp4kRGRjr169d3Vq5c6XrszZs3O927d3fy58/vpE+f3ilUqJDTpk0bZ9KkSbHXSex27nH9bnYzsYEDB97wugndOj7UMF/i9zyMHTs2Ac9uaGLOXLVp0yane/fuTkxMjBMdHe1ERUU5FStWdAYOHOicOnUqIU9tyGLO+H9u2GxMY85ctWzZMqdt27ZOoUKFnAwZMjiZM2d26tWr53z77bcJeVpDFvNF+/nnn506deo4UVFRTs6cOZ1u3bo5e/fu9fKUhjzmjPbhhx86IuJMmzbNy9OYbCIc57q/AwAAAAAAAHEK6BppAAAAAAACDQtpAAAAAAA8YCENAAAAAIAHLKQBAAAAAPCAhTQAAAAAAB6wkAYAAAAAwAMW0gAAAAAAeJAuvleMiIhIznEgBaVU63DmTOhIiTnDfAkdHGPgFXMGXjFn4BXnMvAiPvOFb6QBAAAAAPCAhTQAAAAAAB7E+0+7A1HatGlVtl/BX7lyJSWHgyCQPn16lYsVK6bypUuXVN62bVtyD8klT548KmfLli3O69sxb9++3XWdlPoTOACa/Zy6fPlyKo0EocL+6SjHd6QEzrkBN76RBgAAAADAAxbSAAAAAAB4wEIaAAAAAAAPArpG2tYB2XrWO+64Q+UdO3aovGDBApUPHTqUhKNDMKpcubLKCxcuVPno0aMqV6tWTeWDBw8m+ZiqVq2q8qxZs1TOlStXnLffu3evynbMIiLHjh1L0NiQ+iIjI1XOnTu3yva4dv78+WQfUzhJk0b/f7N9PfLly6dyzpw5VW7QoIHK8+fPV9nuaXD48OEEjROBw99eHF7Z2tSiRYuqbD+XTp065fc+7d4a+/fvV9keR6h/DW5RUVEq33LLLSrXqFHDdZusWbOq3KpVK5XtOfeaNWtUXrFihcqLFi1S+cCBAzceMBAk+EYaAAAAAAAPWEgDAAAAAOABC2kAAAAAADwI6BppWxv60ksvqXz33XerfPLkSZXfe+89ld9++22Vz507l9ghIsjce++9Ktu6IX89nJOiRjpv3rwq/9///Z/K+fPnV9nWHdkx2Vq2+NTHIXDZGtw777xT5QcffFDlzz77TOWpU6eqbI9z9Jz1pmHDhirbOsHbbrtNZVsjbY8pdk+Dr776SuWPPvpIZV810/Y1tPWuSF2FChVS+fvvv1c5XbrEnXplzJhR5QsXLqgcn/lw4sQJlefNm6fy77//rrKtb7WfhRxXAovdY+iuu+5S+YUXXlC5ePHirvuw89RmW1fdrl07lY8cOaKy3f/l2WefVdke6y5fvuwaExBo+EYaAAAAAAAPWEgDAAAAAOABC2kAAAAAADwI6Brp7Nmzq2z73mXKlCnObGsLv/nmG5W3bduWuAEi4NmanjZt2qT4GGyt0uOPP65yqVKlVLa9Fe1eALbeDqGldOnSKvfv319l2wvdV23b9RYvXqwyx7242T7dzz//vMq2L3SGDBlUvnjxospnzpxR2b5eTzzxhMq2r/zq1atdY7R94X/++We/t0HKsZ879j2d2Brp5GDnXbdu3VS29a2DBw9WefPmzckzMPhkzytsr/IePXqobOuR7f4w9v7iI00a/V2crWm2P+/atavKdr+J+fPnq9yrVy/XY/raMwIpz762N7osLqGytwffSAMAAAAA4AELaQAAAAAAPGAhDQAAAACAByykAQAAAADwIPB2vIiD10L2rFmzqhyIG3wgedkNNOwc8vdzu7HTpk2bPI+hSpUqKvft21dluznRO++8o/KRI0dUtpvw2Z8juKRNm1blOnXqqFyiRAmV7Ry1P3/ooYdUtpswjh07VmW7QUw4yZs3r+uyoUOHqty0adM478NxHJX//vtvlX1tmHM9u9mY3VSzXr16rtvkyJFDZbuR0PDhw1WeM2eOyjt27FDZbuBjfyd4YzfROX/+vMpez0WuXLmisn19kuP1su+Ne+65J87rP/zwwyqH83ElJZQsWVLlgQMHqty+fXuV7eZiVlLMofXr16s8ZMgQlTt37qxyu3bt4sz2WCziPt/hWJUy7DHLfgaJiGTLli3O+7DHxb1796psj5PBgm+kAQAAAADwgIU0AAAAAAAesJAGAAAAAMADioYR0mw9sc22vsbWTNv6xQULFqh86NAh12PaWpKPP/5YZVuz+r///U/lESNGqOyv7sTWO1IzdGP29c2QIYPKBQoUiPP2u3fvVtnWtyeErX+0dfgnT55U2e79cPbsWZXnz5+v8h9//KFyONcu2vryW2+91XWdVq1aebpPW188atQolVetWqXyhQsXVH7mmWdUzpkzp8p2jwURkS5duqjcvHlzlV9++WWVH3vsMZXtHHnttddU3rJli8ocU7zZvn27yvb5t/Wse/bsUXnevHkqr169WuUTJ06ofODAAZVPnTrld4z+9gMZOXKkyoUKFVK5Y8eOKts5t23bNr9jwI0VL15c5YYNG6ps64fz5Mmjsv2sO336tMp234Tly5e7xmDnkf3sadGihcpff/21yhMnTlR52rRpKn/00Ucq2zn1ySefuMZ0//33q2z3pAiXY5V9fb3+3v7OhcqWLatys2bNVLZ7eYiIVKxYMc7HtOcyb7/9tsqTJ09WOVhqpvlGGgAAAAAAD1hIAwAAAADgAQtpAAAAAAA8COgaaVsbmj59+lQaCYJVkSJFVLa972wt4BdffKHyoEGDVLY9YW1toYi77uemm25S2daztW7dWmVbQ3n06FGVjx07pnLRokVVtrUv+FexYsVUtnU+ffr0UdnWiNmfJ0V9lq1VrFatmsq2rt/WVNtat6+++kplW9cdzqKjo1WuW7eu6zq2RtlfLZrdo8Duo+Cvzsvus2Dz5s2bXbdZsWKFyvaYYHv+2l7jdi8A+zvavtT2mIW42TkydepUle173NbDfvrppyrbGmp/faV9sa+x3avjvvvuUzlXrlxx3t+ZM2dUtjW48CZz5swqf/bZZypXqlRJ5dy5c8d5f7Znr615Hzt2rMr2OOaL3f/F3oet3bfsfh623739HcuVK+e6j379+qn84osvqhwKtfmRkZGuy0qXLq1y/vz5Vd63b5/K9nPDzgd7LlS7dm2V7fNcpkwZleOzHkubNm2cP7fnU4sXL1Y5WF5LvpEGAAAAAMADFtIAAAAAAHjAQhoAAAAAAA8Cqkba1l80aNBA5Xz58qXkcBACbP2xnWO2ds32Qezfv7/KVatWVTkmJsb1mG3atFHZ1rN5rT+0tSj2d5gyZYrKthYmnNkanTvuuEPle++9V2Vbz27r1ZOjPsvWN9rapv3796ts6/5tvezOnTtVTope18HKvv5NmzZVuUOHDq7b2PeXZd9ftufv3r17PYzQP199v+0csccU28e4a9euKtv6ONs7e9GiRSrbvSPCeU4lhK2Tt3sv2Fr9Bx54QOXRo0erbHuXW77qF21fWNuzt3v37ipHRUWpbI9Tdo7ZvTwQN1sX36NHD5Xt/h22btYeF+ycsL3i33vvPZUTsu+BPfYltoZ1/fr1Kts6bl99pNu3b6+y7X9texMHA7tPSvPmzV3Xsfv15M2bV2X7+v/yyy8q2z0M7D4Ntj69YMGCKtt9Gv766y/XGO1nnz2/svu92H2w/H32Biq+kQYAAAAAwAMW0gAAAAAAeMBCGgAAAAAADwL6D9KzZs2qstc+0rY2FeHH1mBYx48fV9n2lbY9oW0faVt3JuLuVf3GG2+oPGHChDjHZBUqVEjlwoULq0z/zvizvVRtbZL9eYYMGVS2vRYrV66ssu3FGZ9jkL3OmjVr4sx2PiSkp2y4sPXkAwYMUNnXHge2/tf2RrXHFNtv19Yy2t6pScG+xrbe8eWXX1b5gw8+UPnJJ59U+emnn1b5/fffj/Px7d4SIu7+14g/2xO4W7duKtt616VLl6pse0JXrFjR9RivvvqqyjVq1FDZ9li3c8x+NtpaVPbmuDFbzyoi8tNPP6lcsmRJlW1d/Q8//KDy559/rrLd18DWzPraayG12d/x22+/VXngwIGu29jzH7tOCEb2PKRUqVKu69g+0vb9aj+H7PNiP9fseartY27Pje38++2331xjtL3l7R5FofBa+cI30gAAAAAAeMBCGgAAAAAAD1hIAwAAAADgQUDVSNsa6CxZssR5fVvPaGtAbG2h/Zt/hB7bh87WaNg6rhkzZqhs68Jsj9jHHntM5QoVKrjGYHtRDx48WGVbF+SVnfdFixaN8+ci4Vs3a48JCxYsUNnWW9neinY+2d6fttf9nDlzVE5I/brtA71y5UqVbS9k3Jh9/eJTo7Vr1y6Vhw8frvJLL72k8v/H3n1HR1Wubx+/IyUJLUDovfcqiEiRJiJVUFR+SlEEpVk4InAUKcpRQFA8gghHBRGw0aWKSAdBRLoovfcaepv3D14j972HmWzSJpnvZy3X8ppM2Zl5Zs/eTK7nse/nQHiv2W2wa5F//vnnKttxbdcYfvvtt1W2/TwRZ686EDuZgcrfPv2jjz5SeeHChT6vb/vPIv7nVrBrAtvOu+1Ee+vJ4xY7T4Jdp11EpGDBgj7vY8qUKSrbeQ9sZz05zAlke7wxWa/e33lCUuTtc8qu654iRQqf2e7T7WeC7TPbdaLHjh2r8v/+9z+Vva0bX758ecdlviSHMSvCN9IAAAAAALjCiTQAAAAAAC5wIg0AAAAAgAsB1ZHOmTOnyrVr11bZ9t3s3/zbTtamTZtUPnPmTOw2EAHPro2XOXNmlU+dOqWy7aNas2bNUvnTTz9V+eWXX3bc5uOPP1Y5tp1of2y3LRA6moHKzpMQFRXl8/q2u2j3QY899pjK69evV3ny5Mkqx2QsZMyYUWXbw7drTuLueevx/vbbbyovWrRIZfuet511+7ll9yGB0B3eu3evyrYHXqZMGZXtusR23WMR57gMhN8zqbLr19v16m22+xW7nr2Ic64F27u2nWd7n6wTfWd27Ddq1EjlwYMHO25jn0/7WfHCCy+oHB/r0SdF9jPY9s979+6tcrCMW3usYo8D7T7/yy+/VNkeuyxYsEBl21e388OIiHTr1k3lHDlyqGxfi19++UXlpHqOxhEZAAAAAAAucCINAAAAAIALnEgDAAAAAOBConakba/ErkGWN29eV/dn/75+48aNKtPZSv5q1KihcmRkpMrDhw9X+fjx4z7vz/ZO8ufP73cbJkyY4HObjh075vc+bhcREeHz58llLb6EYNdajG3f2K7V2KNHD5U3b96s8vbt2x33YddztK+37afa3wF3z9tamN9//73Kdj1duxZ5kyZNVH7qqadUXrFihc/7Swy2P7dt2zaV7X5yzJgxKtv11kWcn9d2nVv849y5cyrbPrLtgVp2DM2ePVvlQYMGOW5jH+Pw4cM+f46Ys58jdo4BO3eLiHN+FttZj+tOtJ3XIF26dCofOHDAcZuE7henSpXKZxZxHu/88ccfPn8eLOw+/fLlyypPnDhRZTve7PXtWta2E/3iiy86tqFWrVoq29fCzt0wYsQIlU+ePOm4z6SAb6QBAAAAAHCBE2kAAAAAAFzgRBoAAAAAABcCqiNteyV2PVV/bOfErpsYrN2JYGK7e7bjfPDgwVjd/+LFi1UeOXKk4zq2n2bXObTr9/lj16S05syZ4+r+gondx9g1mW3/2F7f31r1tq9cokQJlW1net68eY5ttOuHxnWPG+7Y19z2tt566y2VbUfPvn5J4XPH9mPnzp2rsp1/pG7duo77aN26tcpDhgxR2Xbwgontms6YMUNlu/Z448aNVbZj8uuvv1b5vffeU/nIkSN3s5m4S7YDbef78TavxbRp01TesmVLnG6T7dnbHr39LPzzzz8d9zFlyhSV7Xs6tvMO2efFHut4mydpz549KtvjqaSwv7XscWpcfObbdZ/z5Mmj8quvvupzG+yxUfXq1VXOnDmz4zHt54hdi/rXX39V2b6Wdj+XVHCEBgAAAACAC5xIAwAAAADgAifSAAAAAAC4kKgdacv2Auzf7NtsOwC2v2rXSUTyY3tAtltme3m2m+aP7dvYde+8sV2S2HZ2/PVlzp49G6v7T878zcPgryN96tQplWfNmqWyXVvRrjPevHlzlW2HWsTZG4rtXBGIOW89r1atWqk8depUlY8ePaqyXXM5qfa8budv7Ww7rkVE/u///k/lSZMmqbxjx4642bhkwM7nsn79epXtvBqW3S8Fwtrkwcx2ee1cLfZYVURk6dKlKsf3Ot4REREqh4eHq1yxYkXHbXLnzq3y999/r/LOnTtVdrvvi4yMVNnue73Nq/DVV1+pvHDhQlePGYjscWzatGljfZ/29a1Tp47K/sabPe6w60rbeTNERPbu3auyPd62+7lz58753Iakgm+kAQAAAABwgRNpAAAAAABc4EQaAAAAAAAXOJEGAAAAAMCFRJ1sLK4XIY+KilLZ2wQPSF5KlSrlM2/dulXlffv2xfs2Xb9+PVa3t++DsmXLxur+8A/73Prb59hJfezEUtu3b1f5pZdeUtlOplKgQAHHY7Rv317lbNmyqZwpUyaV7YQusZ3MLpjY58rb6+9vAjp7H8lhcjHL/o5btmxRuVmzZo7bxPbzO5jwHk5emjZtqrKdfGzPnj2O28ybN0/luB4D9v4++ugjlY8fP65y27ZtHffRqFEjlefMmaPy66+/rrKdjPPGjRsqh4aGqjxs2DCVmzRporK3yV2HDh2q8sWLFx3XSWqKFi2q8kMPPeS4jp2QzPL32ZYvXz5X22SPff73v/+pvGjRIsdtNmzYoPLBgwdVvnr1qsrJ5bOTTz4AAAAAAFzgRBoAAAAAABc4kQYAAAAAwIVE7UjbBb/9ddMA69FHH1U5LCxM5dmzZ6sc2/5yQrDj3r4vkHBsh8f2sWxvyI6/f/3rXypnzpzZ8Rgvv/yyynZuB9uNst22zZs3q0zf8h9nz55V2XZ9bTdNxPn+s3N5BCPGFPAPf/OYpEiRwu99xHc/1L5nx4wZ4/PxvR1nNGjQQOWCBQuq/Oyzz6q8adMmlXfv3q1yiRIlVG7evLnPbV66dKljmy5duuS4LKmxxwktWrRQuVixYn7vwz5Xy5cvV9nOGVWvXj2f22DZ8WHnG/rll18ctzl27JjKtiOfXHGmCgAAAACAC5xIAwAAAADgAifSAAAAAAC4kKgd6YiICJX9daSTy5pjuHu2r2h79raTsX79+njeorhnx7ld+7pw4cIJuTm4je0l2b7y999/r7JdF7NIkSKO+0ybNq3K/rpLZ86cUdl2l+iz/uP06dMqr1q1SmXbARRxrttt14TdtWtXHG1d0pE+ffrE3gQgYPjrSAfi/D7++qpffvml4zL7efXMM8+o3LhxY5V37Nih8ooVK1QeMmSIyrbv3LNnT5XtutQiyeM8IEeOHCrb4wRvxwD297bPnX2ubO7Vq5fKDRs2VNmej9n5XPr376+y7VyLiEyYMEHln376SWW7jrQdk0n12CXw3u0AAAAAAAQwTqQBAAAAAHCBE2kAAAAAAFxI1I605bZXYtdbPXfuXFxuDgJQ/vz5VX7hhRdU3r9/v8rz5s2L922Ka7YLY9cDROCwr9Wff/6p8tChQ1V+5JFHHPfRsmVLlUNDQ11tQ7Cs1Xg37Lrx06ZNU7lGjRqO29jeX5s2bVR+//33VbZriycHdu3y2rVrq+xtndyk2m8DYutuxn6grU+/d+9ex2X288uu+2zn93j88cdVrly5ssp2HeoNGzaobNeNTg59aG/s/jVDhgx+b3Py5EmV7XwfU6dOVXnPnj0q24704sWLVX7ooYdUtq911qxZff5cRKRixYoqz5gxQ2V7jrZx40aVt2zZorKd48Rm+75LrM8gvpEGAAAAAMAFTqQBAAAAAHCBE2kAAAAAAFxI1I60t56VG4cPH1Z5yZIlKtt+XEKwv5Ndi812So4cOaLy5cuX42fDkgnbwQgPD1f5ypUrKtsefVJgex6bNm1SuVmzZgm5OXDBrpO4evVqlVOlSuW4jV3L2G1HGjFn14B+5513HNexa8LabpldW3XAgAEq7969W+Wk0GG3fc0CBQqonC9fPpW9dRdtv+3s2bNxs3FAgLHHlt98843Kdp9h16IXESlZsqTKti+a0Ly9p+02vfTSSyrbdaHtfsNm+/k4cOBAlb31tHHL+fPnVbZrdh89elRlexxpO9Z2jW87psuUKaNy8eLFVfZ2nJI7d26VW7RoobJ9/e1nrT3WtePPdurt/EFnzpxxbJN9HuLj85hvpAEAAAAAcIETaQAAAAAAXOBEGgAAAAAAFxKsI+2tD23/Pj5jxow+78P+rbv9+3nbN7brntl+su0UeOvT2u6Y3cZMmTKpXK5cOZWffPJJlW1nZNasWSqPHz9eZbsWXLCzz69de3z27NkqJ0ZPPq7ZtfeS69qKyYF9bez719s6h/v27VM5S5YsPh+D9Xrjjn3uRUSWLVumcrt27VS2a6WmS5dO5YkTJ6psP6dsD9DO65AY7Gflm2++qXJkZKTK3uby8Ndfw92zxyb2MwGJyx7H2X1G/vz5HbepV6+eylu3blU5EI9d7L7rwoULKvv77Lp06ZLKf/31l8rB+tlmX2tvr/3x48dVPnDggMr+PkdsN3jnzp0q79+/X2XbV7Z956ZNmzoew84FYDvT9nyqcOHCPu/Tdp7tNtrjq82bNzu2yc5ZYtfbjovPKb6RBgAAAADABU6kAQAAAABwgRNpAAAAAABcSLCOtF1PWcTZH/Z2HTf32blzZ5XtOn12LcylS5eq7O1v5W0Ht3Tp0irbtdZsZ9puo+2KlyhRQmXbOfnoo48c2xSI3ZlAkRx7eT/88IPKdu1FxJ/Ydrbse/XQoUOO68ycOVNlu16jtWrVKpW9rZ2ImLFra4qIDB8+XGV/negmTZqoXK1aNZVPnz6tsl27evr06SrbHmFc9Abt547tPNu16Rs2bKiy7bZt377d8RgzZsxQ2VuPGnfHzueyZMkSlTkmSFx2P3Lq1CmVvXWkbX80VapUKif0axoWFua4zH4WffDBByrnyJFDZfs82H1lhgwZVH799ddVtutvHzt2zMcWJ112fHz11VcqFy1a1HEbu3+1c2+4HS92Phfbsbb3b/vsdptFRMqXL6+yndMoffr0KteqVUtlOz4sO55KlSqlsrfnbcKECSp7mwsrtvhGGgAAAAAAFziRBgAAAADABU6kAQAAAABwIcE60rY7LOL8+3nb47K9LNtXrlGjhsq2m2avb3OFChXuvMF34O8+3QoPD1f5vvvuU9nb2tonTpyI1WMmJ7bnwfqaiA3bR92yZYvKZ8+ejdX9e+uN2rXjbX/Vvt9tN8lbzxcx421N9m3btqk8bNgwldu0aaOynXvDrsls89tvv62y/RxauXKlynZ9WRHnmqCW/SwtW7asyk899ZTKNWvWVNlu8/nz51W2a3GKODt0uHv29V23bp3Kdj1VJK6DBw+qbOc1se8/EZHWrVurbPc7dj16t91Oe/xs1/i99957Ve7Tp4/jPmzn1M7hM3ToUJXHjRuncqdOnVR+6aWXVG7VqpXK9ni3Y8eOjm1KDse/tiNt5+Xw1le38//4+wyIa/bYZdeuXY7r2HWd7frqKVPqU87s2bP7/HlcsM91fMzdwTfSAAAAAAC4wIk0AAAAAAAucCINAAAAAIAL8daRtv0Mb+vopU2b1ud9eOuv3S62feX4+Ht8f2u52Z6LXY9z/fr1KsfFGqLJme2JzJkzJ5G2JP7Y/tWBAwcSaUuSH7uPsWv42jWb7ZrAcWHv3r0q9+3bV2W7viPr88Yv+3zbTvPIkSNVth3ppk2b+sx27ct//etfKnfv3l3luPgMsJ+N9vPZfi79/PPPKr/22msq//nnn47HsM8b7p6/uRpYOz6w+Ou02328iEjhwoVVHjhwoMolSpRQ2XZk/bHv+caNG6tsO9NZsmRx3MfVq1dVtmvejxgxQmW73rk9HitSpIjKdv36Ro0aqextHqOFCxeq7O88ISmwn+ne9qVJ4fe0+y2b7edMQhzLJsQ5FN9IAwAAAADgAifSAAAAAAC4wIk0AAAAAAAucCINAAAAAIAL8TbZmC3GHzp0yHGd3bt3q5w5c2aV7WRgdoKNQJhw49y5cyovWbJEZTtBhL2+nTjhr7/+UjmYJxbyNnlc6dKlVbaTFyTHCW/s7/TZZ5+pbCcEwT/sfujkyZMq233QypUrVZ4yZYrK/iYTvBt2G8+ePRvnj4G7Z1+fEydO+Mxbt25V+auvvlK5TZs2KtvJyOwkQBkzZnRsk50szG6jnfTHXt/+3E4uNnfuXJU3btzo2AbEHXtcYI8b7LFOUph4KJjYCY1mzZql8r59+xy3+f7771W273s7CWFst8nmU6dOqfzBBx847mPp0qUq28nD7CRr1qJFi1S2k3d27txZ5XTp0qlsJ98VCY6xHwy/o0j8HE8lBr6RBgAAAADABU6kAQAAAABwgRNpAAAAAABcCPHE8I/xbcfKrVSpUjkuK168uMr169dX2fYlNm/erLLtovnra8QH+zf+tntmO7z+bp8QEqp/Edsx482QIUNUrl27tsrVqlVTObl0MBJbQoyZ+Bgvlp2HIX369CpfuHBBZdupDpbuUmwl5X1MfAsLC1M5V65cKpcvX17lMmXKOO7Dzh9h+492ro7Q0FCVd+7cqfLhw4dVtvMy2PuPD8E8ZgoUKKByvXr1VLZzqezZsyeetyhpSCpjxtvxb7ly5VTu1q2byvZYxh/7Ht27d6/KGzZsUPmXX35Red68eY77jO/9gJ0HyUqIOUniQyDuY3B3YjJe+EYaAAAAAAAXOJEGAAAAAMAFTqQBAAAAAHAhwTrSMeGvL+FvXTzETFLpFXljO662K2jXdEXcoFcEN5LyPiax2X2azTHhb76QQOz6M2b+kSJFCpUTY/6XpCA5jZm4eN/fzj43jKFbOJaBG3SkAQAAAACIY5xIAwAAAADgAifSAAAAAAC4EFAdaSSM5NQrQsKgVwQ32MfALcYM3GLMwC2OZeAGHWkAAAAAAOIYJ9IAAAAAALjAiTQAAAAAAC7EuCMNAAAAAAD4RhoAAAAAAFc4kQYAAAAAwAVOpAEAAAAAcIETaQAAAAAAXOBEGgAAAAAAFziRBgAAAADABU6kAQAAAABwgRNpAAAAAABc4EQaAAAAAAAXOJEGAAAAAMAFTqQBAAAAAHAhWZxI79mzR0JCQmTo0KFxdp+LFy+WkJAQWbx4cZzdJwID4wVuMWbgFmMGbjFm4AbjBW4xZuJeop1Ijxs3TkJCQmTt2rWJtQnxaurUqfLUU09JoUKFJE2aNFK8eHF57bXX5MyZM47rXr58Wd577z0pVaqUpEmTRnLnzi1PPPGEbNmyJeE3PEAxXv5x/vx5efXVVyVPnjwSGhoqJUuWlFGjRiX8Rge45D5mpk2bJg0aNJBcuXJJaGio5MmTR1q2bCmbN2/2ev2ZM2fKvffeK2FhYZIvXz7p16+fXL9+PYG3OrAxZv7x7bffSuvWraVo0aISEhIitWvXTvgNTgIYM7ecPHlS3n//fXnwwQcla9askjFjRqlatap8++23ibTlgYnx8o/u3bvLvffeK5kzZ5Y0adJIyZIlpX///nL+/PlE2PLAxZjxbufOnRIWFpboz03KRHvkZO6FF16QXLlySevWrSVfvnyyadMmGTFihMyZM0fWrVsn4eHh0dd95plnZObMmdKxY0e599575dChQzJy5Eh54IEHZNOmTZI/f/5E/E2QEGI6Xm7cuCENGjSQtWvXSteuXaVo0aIyf/586dKli5w+fVreeOONRP5NkFA2bdokmTJlkldeeUWyZMkiR44ckS+++EKqVKkiq1atkvLly0dfd+7cudK8eXOpXbu2fPzxx7Jp0yYZOHCgHDt2jH+ECSJuxsyoUaPkt99+k/vuu09OnjyZiFuNxBTTMbNq1Sp58803pVGjRtKnTx9JmTKlTJkyRVq1aiVbt26VAQMGJPJvgoTgZh/z66+/Ss2aNeW5556TsLAw+f3332XQoEHy008/ydKlS+Wee5LFH83CDzdj5nbdu3eXlClTypUrVxJ4izVOpOPJ5MmTHf+CX6lSJWnXrp1MnDhROnToICIiBw8elKlTp0qPHj3k/fffj75uzZo1pW7dujJ16lTp3r17Qm46EkFMx8vUqVNl5cqV8vnnn0v79u1FRKRz587SsmVLeeedd6RDhw6SLVu2hN58JIK+ffs6LuvQoYPkyZNHRo0aJZ9++mn05T169JBy5crJjz/+KClT3trtZ8iQQd5991155ZVXpESJEgm23Ug8bsbMV199Jblz55Z77rlHypQpk5CbiQAS0zFTunRp2b59u/qH/y5dushDDz0kgwcPlp49e0ratGkTbLuRONzsY5YvX+64buHChaVHjx6yZs0aqVq1arxuKwKDmzHzt/nz58v8+fOlZ8+eMnDgwITYzDsK6H/uuXr1qvTt21cqVaokERERkjZtWqlZs6YsWrTojrf58MMPJX/+/BIeHi61atXy+qcB27Ztk5YtW0rmzJklLCxMKleuLDNnzvS7PRcvXpRt27bJiRMn/F7X25/BtWjRQkRE/vjjj+jLoqKiREQke/bs6ro5c+YUEVHfXMO3YBgvy5YtExGRVq1aqeu2atVKLl++LDNmzPD7WPhHUh4z3mTLlk3SpEmjKgFbt26VrVu3ygsvvBB9Ei1y6yDX4/HI5MmT7+qxglUwjBkRkbx58/KNUBwJhjFTsGBBx1/PhYSESPPmzeXKlSuya9euu3qsYBQM4+VOChQoICISo+viH8E0Zq5duyavvPKKvPLKK1K4cOG7uv+4FNCfkufOnZPPPvtMateuLYMHD5b+/fvL8ePHpUGDBrJ+/XrH9cePHy///e9/pWvXrvLvf/9bNm/eLHXr1pWjR49GX2fLli1StWpV+eOPP6R3794ybNgwSZs2rTRv3lymTZvmc3vWrFkjJUuWlBEjRtzV73PkyBEREcmSJUv0ZYULF5Y8efLIsGHD5IcffpADBw7ImjVrpFOnTlKwYEHHCRPuLBjGy5UrVyRFihSSOnVqdd00adKIiMhvv/12V48VrJLDmDlz5owcP35cNm3aJB06dJBz585JvXr1on/++++/i4hI5cqV1e1y5colefLkif45YiYYxgziVjCPGW+fY/AtmMbL9evX5cSJE3Lo0CH58ccfpU+fPpI+fXqpUqVKjB8LwTVmhg8fLqdPn5Y+ffrE+L7jlSeRjB071iMinl9//fWO17l+/brnypUr6rLTp097smfP7mnfvn30Zbt37/aIiCc8PNxz4MCB6MtXr17tERFP9+7doy+rV6+ep2zZsp7Lly9HX3bz5k1PtWrVPEWLFo2+bNGiRR4R8SxatMhxWb9+/e7mV/Y8//zznhQpUnj++usvdfnq1as9hQsX9ohI9H+VKlXyHD58+K4eJzlivNwybNgwj4h4li1bpq7bu3dvj4h4mjRpclePlRwFy5gpXrx49H4jXbp0nj59+nhu3LgR/fP333/fIyKeffv2OW573333eapWrRrjx0ruGDPelS5d2lOrVq0Y338wYczc2cmTJz3ZsmXz1KxZM8aPk9wxXrRVq1apY9/ixYurxwZj5naHDx/2pE+f3jN69GiPxxOz5ya+BfQ30rd/83bz5k05deqUXL9+XSpXrizr1q1zXL958+aSO3fu6FylShW5//77Zc6cOSIicurUKfn555/lySeflKioKDlx4oScOHFCTp48KQ0aNJDt27fLwYMH77g9tWvXFo/HI/3793f9u0yaNEk+//xzee2116Ro0aLqZ5kyZZIKFSpI7969Zfr06TJ06FDZs2ePPPHEE3L58mXXjxWsgmG8PP300xIRESHt27eXBQsWyJ49e2TMmDHyySefiIjIpUuXXD9WMEsOY2bs2LEyb948+eSTT6RkyZJy6dIluXHjRvTP/x4ToaGhjtuGhYUxZlwKhjGDuBWMY+bmzZvyzDPPyJkzZ+Tjjz+O8eMguMZLqVKlZMGCBTJ9+vToHj2zdrsXLGOmV69eUqhQoeh5gwJCYp3Bx/RfEcaNG+cpW7asJ1WqVOpfrQoWLBh9nb//haVv376O27dp08YTGhrq8Xj++RcXX/+tW7fO4/F4/xeWu7V06VJPWFiYp0GDBp5r166pn505c8aTPXt2z9ChQ9Xlixcv9oiI55NPPon14ycHjJd/LFmyxJMvX77obciQIYPnyy+/9IiI59FHH4314ycXwTRm/nbq1ClP9uzZPa+99lr0ZXwjHXOMGe/4RvrOGDPedenSxSMinvHjx8fZ4yYHjBffJk6c6Lnnnns869evj7PHT+oYM7esWrXKExIS4vn555+jLwuEb6QDetbuCRMmyLPPPivNmzeX119/XbJlyyYpUqSQ9957T3bu3On6/m7evCkit2awbdCggdfrFClSJFbbbG3YsEGaNWsmZcqUkcmTJ6vJfkREpkyZIkePHpVmzZqpy2vVqiUZMmSQFStWSOfOneN0m5KrYBgvIiIPPvig7Nq1SzZt2iQXLlyQ8uXLy6FDh0REpFixYnG6Pcldchgzt8uUKZPUrVtXJk6cKEOHDhWRfyYuPHz4sOTNm1dd//Dhw3TRXAqGMYO4FWxjZsCAAfLJJ5/IoEGDpE2bNvG2HclVsI2X2z322GPSpk0b+eabb+647BGcgmHM9OzZU2rWrCkFCxaUPXv2iIhET2Z2+PBh2bdvn+TLly/etulOAvpEevLkyVKoUCGZOnWqhISERF/er18/r9ffvn2747K//vorehbAQoUKiYhIqlSp5KGHHor7DTZ27twpjzzyiGTLlk3mzJkj6dKlc1zn72K//fMFj8cjN27ckOvXr8f7diYXwTBe/pYiRQqpUKFCdP7pp59ERBJkO5OTpD5mvLl06ZKcPXs2Ov89TtauXatOmg8dOiQHDhyQF154IaE3MUkLhjGDuBVMY2bkyJHSv39/efXVV6VXr16JsGVJXzCNF+vKlSty8+ZN9kcuBcOY2bdvn+zdu1cKFizouG6zZs0kIiIiUWZ7D/iOtMitk8q/rV69WlatWuX1+tOnT1d/s79mzRpZvXq1NGzYUERuTadeu3ZtGT16tBw+fNhx++PHj/vcHjfTuR85ckQefvhhueeee2T+/PmSNWtWr9f7+xvEb775Rl0+c+ZMuXDhglSsWNHvY+GWYBgv3hw/flwGDx4s5cqV40TapaQ8Zo4dO+a4bM+ePbJw4UI1Q3fp0qWlRIkSMmbMGPUPdqNGjZKQkBBp2bKl38fCP4JhzCBuBcuY+fbbb+Xll1+WZ555Rj744AO/9w3vgmG8nDlzRq5du+a47meffSYizlUm4FswjJkxY8bItGnT1H8vvfSSiIgMHTpUJk6c6Pex4kOifyP9xRdfyLx58xyXv/LKK9KkSROZOnWqtGjRQho3biy7d++WTz/9VEqVKuV1MoIiRYpIjRo1pHPnznLlyhUZPny4REZGSs+ePaOvM3LkSKlRo4aULVtWOnbsKIUKFZKjR4/KqlWr5MCBA7Jhw4Y7buuaNWukTp060q9fP78F+kceeUR27dolPXv2lOXLl6uF57Nnzy7169cXEZGmTZtK6dKl5e2335a9e/dK1apVZceOHTJixAjJmTOnPP/88/6ewqAS7ONF5Naf/T/wwANSpEgROXLkiIwZM0bOnz8vs2bNYt1XL5LrmClbtqzUq1dPKlSoIJkyZZLt27fL559/LteuXZNBgwap677//vvSrFkzefjhh6VVq1ayefNmGTFihHTo0EFKlizp5xkMPowZkaVLl8rSpUtF5NZB04ULF2TgwIEicqte8uCDD/p8rGAT7GNmzZo10rZtW4mMjJR69eo5DmqrVasW/S0XGC+LFy+Wl19+WVq2bClFixaVq1evyrJly2Tq1KlSuXJlad26dQyexeAS7GPm4Ycfdtz272+ga9WqlXj/+JJY5ey/C+J3+m///v2emzdvet59911P/vz5PaGhoZ6KFSt6Zs2a5WnXrp0nf/780ff1d3n+/fff9wwbNsyTN29eT2hoqKdmzZqeDRs2OB57586dnrZt23py5MjhSZUqlSd37tyeJk2aeCZPnhx9ndhO5+7rd7OTtpw6dcrTvXt3T7FixTyhoaGeLFmyeFq1auXZtWuX26c12WK8/KN79+6eQoUKeUJDQz1Zs2b1PP30056dO3e6fUqTveQ+Zvr16+epXLmyJ1OmTJ6UKVN6cuXK5WnVqpVn48aNXq8/bdo0T4UKFTyhoaGePHnyePr06eO5evVqjJ/PYMCY0de90/Nwt0v6JUeMmZg9D2PHjnX71CZLjJdbduzY4Wnbtq2nUKFCnvDwcE9YWJindOnSnn79+nnOnz/v+nlNzhgz/p+bxJxsLMTjue3vAAAAAAAAgE/8HSgAAAAAAC5wIg0AAAAAgAucSAMAAAAA4AIn0gAAAAAAuMCJNAAAAAAALnAiDQAAAACAC5xIAwAAAADgQsqYXjEkJCQ+twMJKKGWDmfMJB8JMWYYL8kH+xi4xZiBW4wZuMWxDNyIyXjhG2kAAAAAAFzgRBoAAAAAABc4kQYAAAAAwIUYd6QBAACC2T33OL9/sJfdvHnTZwb8SZlSH54nxzFVoEABlS9cuKDy8ePHE3BrkNTZ94xIwrxv+EYaAAAAAAAXOJEGAAAAAMAFTqQBAAAAAHCBjrRL9m/w7XpxGTNmVDkiIiJWj3f9+nXHZYcPH1b5ypUrsXoMJK5UqVKpHBYWpnJUVFRCbg6SGNvPtPskuw5icujWwR1/Y8RizPzD7o/r16/vuE65cuVUXrlypcqLFi2K+w1DstK0aVOVhwwZovKqVatU7tKli8qXL1+Onw2LQ+XLl1d57ty5Kl+9elXl6tWrO+7j4MGDcb9hSUBkZKTPn588eTKBtiTxpEiRQuUyZcqoPGHCBMdt7PumT58+Kh87dizW28U30gAAAAAAuMCJNAAAAAAALnAiDQAAAACAC3Skb2O7UCIixYoVU7levXoq20506dKlVS5btmystuns2bOOyz788EOVp02bpnJS6MoEE9tHbNKkicq1a9dWOUuWLCq/9NJLKtu1FvPnz6+y7SGJOMel7ZLs2bPHcRsEptDQUJXTp0+vcrp06VQ+f/68yrZzb3tpIs6OLJIWu8/JnDmzynaM2NfbjpFTp07F4dYlLZ07d1b57bffdlwnTZo0Ku/evVvlqlWrqnzixIk42jokF/fee6/KxYsXV9kei27atElle1wYCIoUKaLyvHnzVLbHOgMHDlTZzgcULLydiwwePFhlO39S165dVb5x40bcb1gis8fK3bp1U7lUqVKO22TNmlVl28u35093g2+kAQAAAABwgRNpAAAAAABc4EQaAAAAAAAXgqojbbuFtoPSokULx23sZUWLFlXZrgFs1+u02S1vXcUBAwaobDuQs2fPVjmY1wANBLbDPGzYMJXz5cun8urVq33+vESJEir37t1b5bx58zq2wa5nbjuQI0aMUDk59muSKrsPefjhh1W2nXvbkd+6davKCxYsUNmusyhCZz6pS506tcq2o1u4cGGVbd/OjpklS5aoHEyfKRkyZFDZHkeIODvpdh9s51IJho60XfPV27FMMI0jy44ZO9fFlStXVLbvafuetfeXGPNcFChQQGXbRw0PD1f5rbfeUtn2vINlfKRMqU/F7LwMIiLPPfecynZuE/tcz5o1S+WkcExnx3ChQoVUHjNmjMoFCxb0e592fpBy5cqpTEcaAAAAAIAExok0AAAAAAAucCINAAAAAIALnEgDAAAAAOBCsppszBb2bcm8YcOGKr/66qsq28nHRLwvjH47W+C3kzjZCQHOnj2rsp2EJDIyUmVvk5XZyasqVKigsp10IFgmbAgU6dKlU7ldu3Yq24l+7AQLZcqUUXnq1Kkq24nDsmTJ4nebLl68qPKuXbtUToyJSRAzdnzY8WMnF7OT0dn9oGUnKxQR2bdvn8rBvA+x+2B/k/okxHNlt8FO4mMnxXz77bdVtpO02P3D8uXLVd68ebPKJ0+edGxTMI8R+3rYHAzs59ZDDz2k8s6dOx23sRMiBdPnkP1d7YSf2bNnV/npp59WuUOHDir/8MMPKifEhJH2+Lht27Yq28mizpw5o/LXX3+tsp1gLVjZCQ5FnPsUO+nhM888o/LKlStVPn78eBxtXfyx46V///4q28nsYsKOqXPnzrm+D3/4RhoAAAAAABc4kQYAAAAAwAVOpAEAAAAAcCFJd6Tt39O3aNFC5QceeEDlGjVqqJw1a1aVvfWaLl++rPKhQ4dUXrduncrLli1T+fTp0yqvXbtW5Vq1aqk8cOBAlW1nGvErVapUKtsOu+0nV69e3XEftntvO6u2c2m7UvYxbA/p6NGjKtsxt2rVKsc2LViwQOVNmzb53AYEDvva7N27V+UDBw6obPeLtldkx5+3vutPP/2k8qVLl2K0rcmB/RzIlCmTyvb9aD8jbOc8Pnp/qVOnVjlHjhwq23kzcuXKpXLatGlVtvOL2A61vf6pU6divK3ByL7HypYtq7Kdo8Jfv9zOg1GzZk2V7bwpkyZNctyH7UjGdp9vj59+/PFHlW3H175PRERatWql8uzZs1UOpt697TS/+OKLKpcrV05lO6Y+/PBDlXv06KGyt466W3bf+NRTT6ncpUsXle0cQo8//rjKdi4O3OKtx2vfr/a1sOcS9nxn2rRpcbR1cSdNmjQqT548WWU75v3NPXHs2DHHZb169VL522+/dbOJMcI30gAAAAAAuMCJNAAAAAAALnAiDQAAAACAC0mqI227fsOGDVPZrlto19a0vaXr16+r7K2vMWHCBJVnzpyp8v79+1W260jbXoPtotl1pi1vPSb7mOvXr1c5mHpFln2NbbYdaLvequ3Z2x5S6dKlVfbWYbeX2V6H7Q3Z/unPP/+s8uLFi1VesmSJynY82F6+iHOsI+mw72e7n7LdunvvvVdlu460XaPS9mFFnGuh255vct7H2P5x1apVVbZ95CNHjqi8ZcsWlWO7nqvdh4mIpE+fXmW7X6pdu7bKdt6FFClSxGqbgokd694+k+1l9jXzN0+BfQzbHbR92a5du6psx4NdW15EZMCAASrHdlzaMeXvc88ej4mIFC5c2Odtgpk9LrCf+3bd7iZNmqhsP/NtH90eh8SE3a988sknKtu1jd977z2V7fwtzM1yi32tZsyY4biO7fpmy5ZNZTuXR7Vq1VQOhI603QfY4207n5C//cG1a9dUtudnIiJz585V2dtcDbHFN9IAAAAAALjAiTQAAAAAAC5wIg0AAAAAgAsB3ZG2HYDnn39eZdsJsb0v2wGxazfazsDSpUsd27Bw4UKVL1686GOLneyarm3atPGZ7Xqd3tb+Gzt2rM9tTC79RW/dQPsa582bV2XbDbPr0Nkume3VlyxZ0ufjedsmf+w6vbbrZHtDdlzaTix955jz15m37HsnEN9Ldh4Gm+28C/Z3tvsY29/0dh3buw/E5+VuxKR/bD9nbK/T7qNtr8u+f90+d9620fbcixUrprLtTNvet+0m2s81u80XLlzwefvkbPPmzSqfOXPGcR27prJ9fuxngL/nz3YH27dvr7Lt6VstW7Z0XGZ/j48++kjl2H6u2HFvs+0ziogsW7ZM5bvp7SZXdoz07t1bZbt2eNOmTVVu3Lixyk8++aTKX3/9td9tsHPK+JuHyO4nPv/8c5XtXBvwbu/evY7LVqxYofKjjz6qsp1/qX79+iqHhYWpHB9dYcs+5mOPPaZy//79VbYde8vuH7Zu3aryW2+95bjN8ePH/W1mrPGNNAAAAAAALnAiDQAAAACAC5xIAwAAAADgQkB1pG0f9amnnlK5Y8eOPq9v+xfz589X2XaLf/rpJ5Xtun0i7vtsds3WoUOHqlynTh2VbU/h22+/VXnEiBGOx7DrP7rtbQcqu3bmK6+84riO7ZTbnpDtWNh+oe0d2c6F7YnZ18f2J705duyYyt26dVN56tSpKieXvmlis+89Eec64DbbDtiOHTtU3rRpk8q2u5QYXVHbV964caPK9ncsUqSIyvZ39jambd8qufLWP86YMaPKdu3UPHnyqGznabDrStvPodh+pog41wp/4IEHVLb7RX9r2dver10L2/48mPZZdh8Qk460fX5sl88+/7Zratd89rbW++3s62vnOBAR6dy5s8p2X+dt7Vpf7DrSlt03ettXnj171tVjBjN7nPfZZ5+p/PDDD6ts+6lvv/22ynYuFm+dWTvHzGuvvaay7UTb411vXV/4522ugPXr16ts5+6wn2V2vh/7uWXf/3HBHn+/+eabKr/66qsqe9tP3c4+D4MGDVLZnh8dPXo0JpsZ5/hGGgAAAAAAFziRBgAAAADABU6kAQAAAABwIaCKcLbnY7th3rpitztx4oTKEyZMUHn16tUq2/VW44LtG2bPnl1l22tZuXKlynatOG9roCXXNTwrVqyocrNmzRzXsety2w6FXf/Url1p19xdvHixyrb/5m+bvK29OXfuXJXt+uTB1C9MSHZtXRHnuuK2V2T7sHat1XTp0ql8+PBhlRNjXczz58+rbMd8IPS4kxP7uWTn5rBrNNvPANs397aerq/Hy5kzp+M6ZcqUUdn24GMyl4Mvdh/FGPpHTPbf9jW0Pfrff/9dZbsOeK5cuVxtU0xeH9ubf+aZZ1T+4YcfVLa/px3HDz74oM+fW3ZuBxE60rExZ84clWfNmqVy8+bNVbY9frvOtD1OEXGuNW33dR9//LHKtiPNfiPu2GMT+37Kli2bynYfFNfs56CISIMGDVR+8cUXVXbbibbH53Zd8sTqRFt8Iw0AAAAAgAucSAMAAAAA4AIn0gAAAAAAuBBQHWnr3LlzKts+ou3k2I7A4MGDVba9JLs+pF2PVURkw4YNKvvrSB46dEhl20Oyf9Nvbx/M/dk//vhD5SFDhjiuY7uBti9qez62g2U7zXbN5yeeeELl5557TmXbC7G9FRGR4cOHq+yt547Ys+sm2j67iLPHV6FCBZUjIyNVtmsvli5dWuVVq1apvH//fpW9rf8Y1+wYtu8Bm+mpxY59/mz3zPboCxQo4PPn/vb5todox6yIs/ufI0cOle1a4Zb9new2BPPnkGU/Q+znlIhI0aJFVbb7Jru2u52vxa6vatcAtuwYsvPD5M6d23Eb+9ll1yK3a8BeunTJ5zZ4m5PidnYMLV++3HGdU6dO+bwP3Jn9rOnVq5fKdj/StGlTle3xVbdu3RyPYfdldpyNGjVKZbuuNOLOvHnzVLZzQP3rX/9S2d8+aNeuXSr72+fb/Ufv3r0d13n++edVzpIli8/7tGzP365bvmfPHlf3l1D4RhoAAAAAABc4kQYAAAAAwAVOpAEAAAAAcCGgOtK2+zdt2jSVy5Urp/KTTz6psu34FCxYUGW7jqLtjNg1hEWcHchFixapbDu5CxcuVDlQ/6Y/ENm+lH3973SZG7bfWLhwYZVtr9727i9fvqzys88+63gM27Wnoxo/bAfI9rm8XWbXMbTjwd5nfK/FeDfs3BC2g2uz/R0Yj//w1guzndgtW7aonDlzZpVtV9R2mu3nzsWLF1W260rbfmvXrl0d22i7/GnSpFHZvuZ2v3XgwAGVbfd//fr1KgdzZ9p2Te3a8yL+9xP2Pdm5c2eVn3rqKZ+3t91Tu17vl19+qbLtYIs41xG24/KRRx5RecaMGSrbcW87l5YdM3ZOGpGEmVMiWOzdu1flKVOmqNykSROV7fHxzJkzHfdpX8Pp06erzPFtwrGfEwcPHvR5fXssU61aNZVt59rOiWDn2ShVqpTK3jr12bNn97lNlp3rYdy4cSrbMR2o+EYaAAAAAAAXOJEGAAAAAMAFTqQBAAAAAHAhoDrSlv37eLtOnl3D94EHHlDZrjmcKVMmn9l2iLxdZnvaLVq0UHns2LEq286t7YEjYdnX88033/T5c9sn/fPPP31mb7dBwkifPr3jMttNtL0f2wGLiopS2e6DbFcxMV5r+3varpvthfvrSAfzePXW/bXrcNseoF1/NyIiQmXbmbafQ3YuDjs3hO2i2izinA/EX0f38OHDKtsOrZ3bw/ZZg7kjbV+fdevWOa5To0YNle08BvXq1VPZrq9q1422z/fPP/+s8ldffaXyoUOHVPY234v9bLPrwtpxOmfOHJWrV6+usv2dkbhs39zO33P8+HGV7fwvdsyKOMeVXTs4mPcLCc2eO9j3pz3XsK+n7ciPHj1a5Z07d6pcvnx5lSdNmqSy2z60iHMd8pEjR6ps15FOKnMo8I00AAAAAAAucCINAAAAAIALnEgDAAAAAOBCQHekbXfv2LFjKg8bNkxlu26a7QDZ9R/z5s2rcp06dRzbYHvXthdk+4l9+/ZV2XZIPvzwQ5Xt+p6IW7Z71rBhQ5/Z2rVrl8pDhgxRmdcvcHjrifrrjtpOtF0D3PaQbF8yITpidr9mu4p2DVr7c8v2J+1cEyLOtZSDqQtnu2i2F2/X87RjzHbYa9eurbJdR3rfvn0q2zWibedaxDkmLPt62dfYdqJtZ/rIkSM+7z+Y2Nfb7jNiwq4t7m+/ZNdXtX1XO2asu3m/2jFls785Zyz7vJ07d871NuHu7d+/X+UVK1aobOf38TZXhp1bgdcwcPjrD9t9jD0fSpMmjcp2Xfg+ffqobM+XvO3D7BiynWi7Dvmnn36qclLpRFt8Iw0AAAAAgAucSAMAAAAA4AIn0gAAAAAAuMCJNAAAAAAALgT0ZGNu2Qk2bLYL0ttsJxoSEfnqq69UtpNT2cnF7ORjjz32mMpff/21ynv27HE8JuJOgwYNVH7zzTdVzpIli8p2DNjJxexkCQgc3iZL8XZZbO8zodlJfwoXLqyy3efYya7s73D+/HmV9+7d63hMe51gmmzMPl/+fnc76Urq1KlVrlixosp2sio7sZed9MW+niL+JxuzE6b99ddfKm/atEllO6mQnewK7tgx4W9yMTvm7OuxaNEile3ra8fDli1bHI9RtGhRn7ex4yxVqlQqp0ypDxf9/U5Hjx5VecmSJT6vj7hlX98DBw64vo+tW7eqnFQngwoGdh9ic/78+VWePXu2ypGRkSrbiXr9PZ6IyKVLl1Tu2LGjz8e0+7Gkim+kAQAAAABwgRNpAAAAAABc4EQaAAAAAAAXklVHOra8/b3+sWPHVJ48ebLK5cqVU/mll15SOUOGDCrbnhHiVoECBVT+4IMPVLZ90gsXLqj8xBNPqLxjx4642zjEK9s9FXF2fa9du6ZyaGioyrYznzVrVpX99QLjgn0Mu405cuRQOVOmTCrbbqPtMtn9nH2OvF0nmPmbe8M+v/b1K1GihMp2H2Vvb7tptnMt4uww207thg0bVJ4zZ47Kdm4O220LhLkBgokdU++8847K3jrPvm5vO/AiIs2aNVPZdmibNm2q8i+//KJy8+bNVbbHMnZM2k70vn37HNuEuGP3O/bY9MUXX3R9nzVq1FDZfh7a42MknDNnzqhs++ylSpVS2R4X5M6d2+f92/FkPxPsZ4aIyNSpU1WeP3++ysn1uIJvpAEAAAAAcIETaQAAAAAAXOBEGgAAAAAAFyjsunT16lWVvfULkXDSpEmjcrt27VS2fUTb47LrQu/fvz/Otg3xy/Ztli5d6riO7QFlzpxZ5Xz58qmcJ08elatWraqyXWvxxIkTKt/NOpu2A223+YEHHlC5RYsWPq9vu4t2HgDbrbJZhI7s7ew+3nbx7WeCff79rcdr2W6at3Ws7TbYTqxdr9P+/Ny5c34fA/HHvr/sfmPVqlUqu13X276+Is75Iew4tPNDvPLKKyoXK1bM52MePHhQ5ZEjR6p88uRJn7dH7NgO/Pvvv6+ynWvBjrkUKVI47tMeP7Vp00blYcOGud1MxBF77NG5c2eVJ02apLKdH8gfu4+yxxGdOnVy3MZ2pC9fvuzqMZMqvpEGAAAAAMAFTqQBAAAAAHCBE2kAAAAAAFyIt460XQvTZhFnz+tu+oUJza7ZWqZMGZXt2ox0z+KW7Q/avmjbtm1Vts//H3/8ofLQoUNVdttFQ+Dwto60vz6rfb+mS5dO5SJFiqicM2dOlW1vyK6tGJN9WsaMGVW2638+9NBDPrfB2zrDtzty5IjKmzdvVtnbWunBvN+yv7t9fuyavrZ3bzvrtgPvdi1yb6+F7cD+9ddfKq9fv17l06dPq5wUPmuDiZ2nwL5ebnmbL+Lo0aMq2/6rPbapVq2ayv7G7bp161Teu3evysy7oNnns2LFiirbeQ1sx71OnToqf/jhhyrb1/fXX39V+T//+Y/KEydOdGxj2rRpVbZjYuHChT63yb7mn3zyicr28xgxZ+c06NWrl8r2OMHy9360a4T/73//U3nKlCmO2wRLJ9riG2kAAAAAAFzgRBoAAAAAABc4kQYAAAAAwIU460jbv9fv0KGDykWLFnXcZubMmSovWLBA5YsXL8bR1t09u7ZezZo1Va5evbrKtnNp+3Rnz56Nw61L3my3UETkscceU3nMmDEq2y7+u+++q/KIESNUtj0QJF3eeoUbN25U2c5pYDvQdvwUL15c5f79+6tsu6i2f2yz7ZyJiDRv3lxlu2607UyHh4erbPuudr1W24Vbvny5ynb9VxE60rezPcB9+/apbLug9vW0r59lu5K2u3bq1CnHbWwfdeXKlT63iU50YNu/f7/Kse1IezvOsB1by21333529u7dW+Xjx4+7ur9gkz9/fpUHDx6sctOmTVW+fv26yk2aNFHZdqLtfC/Dhw9XedasWSp7WxO6b9++Kjdu3Fjlhg0bqmzn67BrGePu1atXT+Vu3bqp/Oijj/q8vf1csdkeK7Vs2VJl+7nnb38STPhGGgAAAAAAFziRBgAAAADABU6kAQAAAABw4a470rYLXKNGDZVfeukllbNly+a4j1q1aqk8YcIElX/44QeVbffvwIEDKtsOiVve1rouUaKEym3atFE5MjJSZds7WLVqlcqx7T4lZ7ajZZ97EZGePXuqbF8z29v69ttvVbZraSL58LaO9M6dO1W2neVHHnlE5TRp0qhsO1+2v1ywYEGVy5Ytq/LWrVt93r+I/3WiIyIiVLZ9V7t29aFDh1T+/fffff48WNd+jCnbNTx8+LDKdr3X0qVL+8x23g1/3TX7eCLOcWzHubf3AuKGt/kD/L2Glj1WWbRokc+fu+Xt9nbtccvfNtv9zNy5c1W2vXz41q5dO5Xz5Mmjst3PN2vWTOXOnTurbF9ze/z83XffqWzH8TfffOPYxjfeeENl+3lot9H2bDt16qQy60bHjO27izjnILDnT/7Y9/euXbtUHjJkiMr2MwV3xjfSAAAAAAC4wIk0AAAAAAAucCINAAAAAIALcbaOtGU71LYXJiJSqFAhlW3/tW3btirb9TS//vprlRcvXqyyvzWbbffQrssnItKiRQuV7bqy9veyHd1p06apHNvuU3Jm11Xs0aOH4zq2N23XqnzrrbdU/vPPP+No6xDovK1reOTIEZXtus/257lz51bZrmVu50RInz69yrbfbDvTKVM6d7k5cuRQOVWqVI7r3O7EiRMq2w7t2rVrff7cdn79dSODne0B2q7p9u3bVbadaX89fMv2CO2YFRHZsGGDynYcs8Zn3LFdUttPFxE5c+aMylmzZvV5n3auFLsOeGx5mwvEHh+VL19eZbtvunDhgsrTp09XeeDAgSqzVvmdeVuj286vMW/ePJXtms1jxoxR2c4P89///lfld999V2V/r0+6dOkcl9lxasf1smXLVO7SpYvKFy9e9PmYuMW+lvbcR0Skdu3aKns7p/LFdqL79++vsn1/I+b4RhoAAAAAABc4kQYAAAAAwAVOpAEAAAAAcOGuO9K2N2Q7PnYNO7sGnohI5syZVbY9AbuWms0lS5ZU2faC/PXEbBfRdhW9bZPtE9pO9MyZM1VmbcU7s8/thx9+qLK3zrrVq1cvle1aiHQFg4e3Dpjt0M+fP19l2wuzazpXqFBB5WLFiqls9yEZM2b0mb2xnWW7zrPt3E6YMEFl29G1fVn7HNCJjh27T7HPt+0v24667dHbbqrtJdpuq4hzTNj5QOirxh17rGOfexH3HWk734u3+4wNu+aziMjIkSNVzpQpk8r79+9X2c7vYucbsfst3Jm3PmuZMmVUtse3bdq0UdkeL9vj3c8++0xle2zqj51bQ8Q5Zl5//XWVd+zYobKdvwPe2blXnnrqKZVt11zEfyfafi5t3bpV5ZYtW6psO9McF9w9vpEGAAAAAMAFTqQBAAAAAHCBE2kAAAAAAFyIs3WkbQ+vT58+Ks+dO9dxm2rVqqls12zOmzevynYtvvDwcJVtxyQu2B7Qtm3bVB4+fLjK9vekq/YPu7Z4/fr1VW7QoIHK3johto9on296W7id7f3Y8bFixQqVz58/r/KePXtUbtq0qcq2Y+1tvVB/bL91y5YtKtuOrF27MyoqSmW7DjHdp7hl9+n+evi2Y1ukSBGV7brSdp3q2bNnO7bB9qj5nAlsdgzY97jdB8QHO1+LnV/Erht9+fLleN+mYOHtcyF9+vQq2w60ZTvPvXv3Vtl22OPC+PHjVbb7pkmTJql88uTJON+G5MjOk9G1a1eV/c2x4I3tRHfr1k1lOtHxh2+kAQAAAABwgRNpAAAAAABc4EQaAAAAAAAXOJEGAAAAAMCFOJtszBbX7cQIM2bMcNzmxx9/VHnp0qUqV6hQQeWIiAiVGzdurHLq1Kl9ZrtgeapUqVS2k22IiKxatUplO7mYnXyMya7uzE42Vr58eZXDwsJUPnHihOM+Ro8e7fc6wJ3Y/ZSdTGz//v0q24mjvvzyS5VTpoz9LvT69esq2wnP7GRi7GMCi78J7exnyKZNm1S2Y8iOB28TUTG5WGCxk4nZMWGPLeyYsJPHxQe7TUwMlXAyZswYo8tuZ8fMI488ovL69etjuVX+2c9He/yLu2M/4zdv3qxy6dKlHbexxwF2ol07eaCdBJPJxeIP30gDAAAAAOACJ9IAAAAAALjAiTQAAAAAAC6EeGL4h/PeFpSPa7ZDa7PtNOfOnVvldOnSqWwXNbedoMjISJX37t3r2KZTp075vI+k2DtIqG32N2YKFCigcuvWrVXesGGD4za2V09fNGEkxJhJiH1MbMVFJ9of27e0OSkIlH1MIPD3uWbZ5y5Y+tBJZcyEhoY6Lqtfv77KRYoUUXnmzJkqHzx4UGU+x+5OUhkz9lhTRGTlypUq2zmAunfvrvI333yjclI89gwEgXAsY39eqFAhlf/97387brNs2TKVbUfazkuFuBGT8cI30gAAAAAAuMCJNAAAAAAALnAiDQAAAACACwHVkY5rdpvtr+rv58lVoPaKbP/UWzc0KfZFk4NA6BUh6QjUfQwCV1IeM7b3bh8jWHruCS0pj5ksWbL4fAy7DjDiRlI4lvE2jwbHvomDjjQAAAAAAHGME2kAAAAAAFzgRBoAAAAAABeSdUca3iXlXhESR1LoFSFwsI+BW4wZuMWYgVscy8ANOtIAAAAAAMQxTqQBAAAAAHCBE2kAAAAAAFyIcUcaAAAAAADwjTQAAAAAAK5wIg0AAAAAgAucSAMAAAAA4AIn0gAAAAAAuMCJNAAAAAAALnAiDQAAAACAC5xIAwAAAADgAifSAAAAAAC4wIk0AAAAAAAucCINAAAAAIALnEgDAAAAAOBCsjiR3rNnj4SEhMjQoUPj7D4XL14sISEhsnjx4ji7TwQGxgvcYszALcYM3GLMwA3GC9xizMS9RDuRHjdunISEhMjatWsTaxPi1bRp06RBgwaSK1cuCQ0NlTx58kjLli1l8+bNjusWKFBAQkJCHP916tQpEbY8MDFetKioKOnZs6cULFhQQkNDJXfu3NKyZUu5ePFiAm954GLM3PL3h9yd/vvPf/6TSL9B4GHM/OPy5cvy3nvvSalSpSRNmjSSO3dueeKJJ2TLli2JsOWBizHzj/Pnz8urr74qefLkkdDQUClZsqSMGjUqEbY6cCX38WLVr19fQkJCpFu3bl5//vnnn0vJkiUlLCxMihYtKh9//HECb2HgY8z8Y9SoUfLEE09Ivnz5JCQkRJ599tmE30AjZWJvQHK1adMmyZQpk7zyyiuSJUsWOXLkiHzxxRdSpUoVWbVqlZQvX15dv0KFCvLaa6+py4oVK5aQm4xE5Ga8nD17VmrVqiUHDhyQF154QYoUKSLHjx+XZcuWyZUrVyRNmjSJ+JsgocR0zJQsWVK++uorx+2/+uor+fHHH+Xhhx9O6E1HInGzn3nmmWdk5syZ0rFjR7n33nvl0KFDMnLkSHnggQdk06ZNkj9//kT8TZBQYjpmbty4IQ0aNJC1a9dK165dpWjRojJ//nzp0qWLnD59Wt54441E/k2Q0KZOnSqrVq26489Hjx4tnTp1kscff1z+9a9/ybJly+Tll1+WixcvSq9evRJwSxEo/I2ZwYMHS1RUlFSpUkUOHz6cgFt2Z5xIx5O+ffs6LuvQoYPkyZNHRo0aJZ9++qn6We7cuaV169YJtXkIMG7Gy7///W/Zu3evrFu3TgoWLBh9OR88wSWmYyZ79uxe9y0DBgyQokWLyn333Rfv24rAENMxc/DgQZk6dar06NFD3n///ejr1qxZU+rWrStTp06V7t27J9h2I/HEdMxMnTpVVq5cKZ9//rm0b99eREQ6d+4sLVu2lHfeeUc6dOgg2bJlS9BtR+K5fPmyvPbaa9KrVy+vY+jSpUvy5ptvSuPGjWXy5MkiItKxY0e5efOmvPPOO/LCCy9IpkyZEnqzkYj8jRkRkSVLlkR/G50uXboE3kLvArojffXqVenbt69UqlRJIiIiJG3atFKzZk1ZtGjRHW/z4YcfSv78+SU8PFxq1arl9c+Ptm3bJi1btpTMmTNLWFiYVK5cWWbOnOl3ey5evCjbtm2TEydO3NXvky1bNkmTJo2cOXPG68+vXr0qFy5cuKv7RnCMlzNnzsjYsWPlhRdekIIFC8rVq1flypUrd3X/CI4x482aNWtkx44d8swzz9zV4wSzYBgzUVFRInLrH2FulzNnThERCQ8Pv6vHClbBMGaWLVsmIiKtWrVS123VqpVcvnxZZsyYcVePFYySw3gZMmSI3Lx5U3r06OH154sWLZKTJ09Kly5d1OVdu3aVCxcuyOzZs2P8WAiOMSMikj9/fgkJCYnxfSaEgD6RPnfunHz22WdSu3ZtGTx4sPTv31+OHz8uDRo0kPXr1zuuP378ePnvf/8rXbt2lX//+9+yefNmqVu3rhw9ejT6Olu2bJGqVavKH3/8Ib1795Zhw4ZJ2rRppXnz5jJt2jSf27NmzRopWbKkjBgxIsa/w5kzZ+T48eOyadMm6dChg5w7d07q1avnuN7PP/8sadKkkXTp0kmBAgXko48+ivFj4JZgGC/Lly+Xy5cvS5EiRaRly5aSJk0aCQ8Pl+rVq3v9HeFbMIwZbyZOnCgiwon0XQiGMVO4cGHJkyePDBs2TH744Qc5cOCArFmzRjp16iQFCxZ0nCzBt2AYM1euXJEUKVJI6tSp1e3+rhr99ttvMX6sYJfUx8u+fftk0KBBMnjw4Dv+o9vvv/8uIiKVK1dWl1eqVEnuueee6J8jZoJhzAQsTyIZO3asR0Q8v/766x2vc/36dc+VK1fUZadPn/Zkz57d0759++jLdu/e7RERT3h4uOfAgQPRl69evdojIp7u3btHX1avXj1P2bJlPZcvX46+7ObNm55q1ap5ihYtGn3ZokWLPCLiWbRokeOyfv36xfj3LF68uEdEPCLiSZcunadPnz6eGzduqOs0bdrUM3jwYM/06dM9n3/+uadmzZoeEfH07Nkzxo+T3DFebvnggw88IuKJjIz0VKlSxTNx4kTPJ5984smePbsnU6ZMnkOHDsX4sZI7xsydf+fs2bN7qlSpEuPHCBaMmX+sXr3aU7hw4ejriYinUqVKnsOHD8f4cYIBY+aWYcOGeUTEs2zZMnW73r17e0TE06RJkxg/VnIWDOOlZcuWnmrVqkVnEfF07dpVXadr166eFClSeL191qxZPa1atYrRYwUDxox3adOm9bRr1y5G9x+fAvob6dv/dfPmzZty6tQpuX79ulSuXFnWrVvnuH7z5s0ld+7c0blKlSpy//33y5w5c0RE5NSpU/Lzzz/Lk08+KVFRUXLixAk5ceKEnDx5Uho0aCDbt2+XgwcP3nF7ateuLR6PR/r37x/j32Hs2LEyb948+eSTT6RkyZJy6dIluXHjhrrOzJkzpWfPnvLoo49K+/btZcmSJdKgQQP54IMP5MCBAzF+rGAXDOPl/PnzIiISEhIiCxculKefflo6d+4s06dPl9OnT8vIkSNj/FgIjjFjLVy4UI4ePcq30XcpWMZMpkyZpEKFCtK7d2+ZPn26DB06VPbs2SNPPPGEXL58OcaPheAYM08//bRERERI+/btZcGCBbJnzx4ZM2aMfPLJJyJyqxOLmEnK42XRokUyZcoUGT58uM/rXbp0yfHXC38LCwtjvLgUDGMmUAX8ZGNffvmlDBs2TLZt2ybXrl2Lvvz2SZb+VrRoUcdlxYoVk++++05ERHbs2CEej0feeusteeutt7w+3rFjx9Tgiq0HHngg+v9btWolJUuWFBHxuYZbSEiIdO/eXebPny+LFy9mEjIXkvt4+ftPXpo2baomWqhataoULFhQVq5cGWfbEiyS+5ixJk6cKClSpJCnnnoqzrYh2CT3MXP27FmpWbOmvP7662o1icqVK0vt2rVl7Nix0rlz5zjbnmCQ3MdMjhw5ZObMmdKmTZvolQAyZMggH3/8sbRr1y5gJgZKKpLieLl+/bq8/PLL0qZNG7+TWIaHh8vVq1e9/uzy5ctJ7897A0ByHzOBKqBPpCdMmCDPPvusNG/eXF5//XXJli2bpEiRQt577z3ZuXOn6/u7efOmiIj06NFDGjRo4PU6RYoUidU2+5IpUyapW7euTJw40e9i6Hnz5hWRW/8qhJgJhvGSK1cuEXFOAiRyawKY06dPx9v2JEfBMGZud+nSJZk2bZo89NBDXscQ/AuGMTNlyhQ5evSoNGvWTF23Vq1akiFDBlmxYgUn0i4Ew5gREXnwwQdl165dsmnTJrlw4YKUL19eDh06JCIs5+lGUh0v48ePlz///FNGjx4te/bsUT+LioqSPXv2RE9UlzNnTrlx44YcO3ZMzeZ+9epVOXnyZPSxDmImGMZMoAroE+nJkydLoUKFZOrUqWqWtn79+nm9/vbt2x2X/fXXX1KgQAERESlUqJCIiKRKlUoeeuihuN/gGLh06ZKcPXvW7/V27dolIiJZs2aN701KNoJhvFSqVElExOuf1Bw6dEhKlCiRYNuWHATDmLndzJkzJSoqij/rjoVgGDN/Tzhj/9zb4/HIjRs35Pr16wm6fUldMIyZv6VIkUIqVKgQnX/66ScRkUTbzqQoqY6Xffv2ybVr16R69eqOn40fP17Gjx8v06ZNk+bNm0ePkbVr10qjRo2ir7d27Vq5efOmGkPwLxjGTKAK+I60yK0P77+tXr36jot1T58+XZ1grFmzRlavXi0NGzYUkVvf2NWuXVtGjx7tdSHv48eP+9weN9O5Hzt2zHHZnj17ZOHChWqWwlOnTjkOVq5duyaDBg2S1KlTS506dfw+Fm4JhvFSvHhxKV++vMyYMUPd748//ij79++X+vXr+30s/CMYxsztJk2aJGnSpJEWLVr4vX94Fwxj5u9vD7/55ht13ZkzZ8qFCxekYsWKfh8L/wiGMePN8ePHZfDgwVKuXDlOpF1IquOlVatWMm3aNMd/IiKNGjWSadOmyf333y8iInXr1pXMmTPLqFGj1H2MGjVK0qRJI40bN/b5WNCCYcwEqkT/RvqLL76QefPmOS5/5ZVXpEmTJjJ16lRp0aKFNG7cWHbv3i2ffvqplCpVKnrSpdsVKVJEatSoIZ07d5YrV67I8OHDJTIyUnr27Bl9nZEjR0qNGjWkbNmy0rFjRylUqJAcPXpUVq1aJQcOHJANGzbccVvXrFkjderUkX79+vkt0JctW1bq1asnFSpUkEyZMsn27dvl888/jz5J/tvMmTNl4MCB0rJlSylYsKCcOnVKJk2aJJs3b5Z3331XcuTIEYNnMXgE+3gRubX2X/369aVGjRry4osvytmzZ+WDDz6QYsWK8eeWXjBmbjl16pTMnTtXHn/8cfqKfgT7mGnatKmULl1a3n77bdm7d69UrVpVduzYISNGjJCcOXPK888/H4NnMbgE+5gRufWn/w888IAUKVJEjhw5ImPGjJHz58/LrFmz5J57Avp7mwSXHMdLiRIl7vhXcQULFlTfKoaHh8s777wjXbt2lSeeeEIaNGggy5YtkwkTJsh//vMfyZw58x0fJ1gF+5gREfnhhx+iH/fatWuyceNGGThwoIiINGvWTMqVK3fHx4o3CTlF+O3+ns79Tv/t37/fc/PmTc+7777ryZ8/vyc0NNRTsWJFz6xZszzt2rXz5M+fP/q+/p7O/f333/cMGzbMkzdvXk9oaKinZs2ang0bNjgee+fOnZ62bdt6cuTI4UmVKpUnd+7cniZNmngmT54cfZ3YTufer18/T+XKlT2ZMmXypEyZ0pMrVy5Pq1atPBs3blTXW7t2radp06ae3Llze1KnTu1Jly6dp0aNGp7vvvvO9XOanDFetAULFniqVq3qCQsL82TOnNnTpk0blqUxGDPap59+6hERz8yZM2P8HAYbxsw/Tp065enevbunWLFintDQUE+WLFk8rVq18uzatcvVc5rcMWb+0b17d0+hQoU8oaGhnqxZs3qefvppz86dO109n8ldch8v3oiPpYzGjBnjKV68uCd16tSewoULez788EPPzZs37+pxkivGzD/atWt3x+dh7Nixd/VYsRXi8dz2dwAAAAAAAMAn/tYGAAAAAAAXOJEGAAAAAMAFTqQBAAAAAHCBE2kAAAAAAFzgRBoAAAAAABc4kQYAAAAAwAVOpAEAAAAAcCFlTK8YEhISn9uBBJRQS4czZpKPhBgzjJfkg30M3GLMwC3GDNziWAZuxGS88I00AAAAAAAucCINAAAAAIALMf7T7kBwzz3uzvvdXt+b69evx/o+AEAkZvukmzdvJsCWAMA/7L7J/nnqjRs3EnJzACBJ4BtpAAAAAABc4EQaAAAAAAAXOJEGAAAAAMCFRO1I2w5OwYIFVb733ntVfvLJJ1VOkSKFz/srXbq0q+05d+6c47I5c+aofObMGZVnz56t8unTp31m23+kDwkkX2FhYSrXq1fP720WLlyo8uXLl+N0mwDAatSokcr58+dX+dtvv1X5xIkT8b5NCGz2mDuhliNDwgsNDVU5Z86cfm9z4cIFle35UHKZg4pvpAEAAAAAcIETaQAAAAAAXOBEGgAAAAAAF0I8MSw12C5EXIiMjFTZ9pELFCigcubMmV1tU3ysI33t2jWV9+/fr/LmzZtV3rBhg6uf7969W+X46JwkVI8lPsZMcpQypbupChKjZ58QYyY5jBe7z2ncuLHKQ4cO9XsfPXr0UNnOw5AU5lVgH/OPpPD+DgSMmYSVNWtWlTdt2qRyRESEypMmTVK5Y8eOKifGOGXMxJydryNHjhwqx2Q/lS5dOpXtGNq5c6fKCXE86xbHMjFjO9GPPfaYyt27d3fcxv7ee/fuVXnVqlUqL1q0SGV7PhUVFaVyYswXE5PxwjfSAAAAAAC4wIk0AAAAAAAucCINAAAAAIALibqOtF1jLHXq1CpnyZJF5fjuHXi7/1SpUvnMxYoV85ltr8D2iC5duqTyoEGDVP7f//7n2KZjx445LkPgsr1Z2z3Jnj27yv66SnYt85MnT6ocCD2kYGVf2wcffFDlggULOm5j9wnly5dXee7cuT6vj4RlX+P06dOrnC9fPpVr1aqlsu0ZWsuXL1d5y5YtjuvwGYDYyps3r8r+5qDxN26RuGwH2h6LtmjRQuUmTZqonCFDBr+PYY9N7DH74cOHVf6///s/lXft2qUyxyqBw762dp1o24muVKmS4z7s62mPZRo2bKiyHS/r1q1T2c4pNX78eJVtBzuxxhPfSAMAAAAA4AIn0gAAAAAAuMCJNAAAAAAALnAiDQAAAACAC4k62ZhdXHvIkCEqDxgwQOWIiAiV7aRL/tiJwnLnzq1yTCYzsxNH2WzZ+7TXT5s2rcovvfSSyilSpHDc58CBA1Vm8qHE423MZM2aVeXq1aurXK1aNZVr166tsr9JXeyi9m+//bbKdgIHEZErV674vE/cHfv62wle6tevr7K3/cWePXtU3rBhg8q8vxOX3Qfbz43SpUurbCeYq1Onjsp2n29fXzumvL13T58+rfK1a9cc1wFuZycTaty4sc+f2/2SPT5jv5Sw7H6hbNmyKtvJxGy2n012crK4kCtXLpX79Omjcq9evVRm0sTAZfcHdlJNb6KiolS2k3/5m5jTHvsWLVpU5e3bt6t85MgRle05ZULhG2kAAAAAAFzgRBoAAAAAABc4kQYAAAAAwIVE7Uhb33zzjco//vijyrYjEtcdaW9sP65UqVIq161bV2W7AH1kZKTK/nrYtl/bpEkTx3XeffddlekqxR/7etnXxy5aLyLy6quvqvzII4+obHsgtid0/fp1le24bd68ucq2yzZ9+nTHNm3cuNFxGWLPvr/ta1+8eHGVT5065bgP+35esGCByry/E1a2bNlUtl3Ebt26+fy57X3ZzxB/nwFdunRR2fbsRUQ6d+6s8ubNm33eJ2D5m9/F9u7Pnj0bn5sDIzQ0VOUSJUqoPG7cOJXtZ43bDrS3zxnbcfU2Z8/t7L6tYcOGKi9evFhle8zPXC6By+4vzp0757jORx99pLLtMNvzpXvvvVdle06WJUsWle28WRcvXlR51qxZjm26ceOG47K4xjfSAAAAAAC4wIk0AAAAAAAucCINAAAAAIALAdWRtn2MkydPxun92+7pjh07XN+HvY3tSLZq1crn7e3vaB0/flzlkSNHOq5jfw/EHdsBKliwoMpvvvmmyhUqVHDch+0qnT9/XuXJkyerbF9je/0yZcqo/OGHH6rctGlTle1afiIiW7duVZkxFDcyZsyoctWqVVW2Pbd9+/Y57sOuC55YayEGowIFCjgue/7551W2r2mtWrVUtvuMq1evqnz06FGVbXcxc+bMKtuOtrf1Ox9//HGV7ecSYwhIWtKkSaOyXQe6R48eKpcrV05lf3Mv2H3CoUOHVF6/fr3jNvbzyu777P4zU6ZMKtuOa5s2bVT+6aefVD548KBjG5Aw7Pjx14dPnTq14zJ77Gpf3ylTpqicP39+le264/az1x6PP/PMMyqvXLnSsU32PDI+5pzhG2kAAAAAAFzgRBoAAAAAABc4kQYAAAAAwIWA6kgHItsTsGuG2r5q2rRpVbadaJvtGsDdu3dXef78+THeVsSe7fhUr15d5Ro1aqicI0cOx33YMbNhwwaVZ8yYofK2bdt8bpPdBtu7tetS24yE429tVm8SYp1D3GLfm7ZnKCLSpEkTle3alilT6o9Nu0+33cOff/5ZZbvPeOihh1S2729vXTQ7b0KGDBlUtmsAM8aAxOOtv2z7oe3atVO5bdu2Kts+sr1P+x7fu3evyhMmTFB55syZKu/fv9+xjXYulaVLl6r82muvqVytWjWV7XwRy5YtUzmu50HC3bPHvvZcx84H440dg3b82DmgTp06pfLYsWNVPn36tMpPPvmkyqVLl1Y5IiLCsU32PuhIAwAAAACQyDiRBgAAAADABU6kAQAAAABwgY70bbytm2b7cs8995zKthNt2c7A7t27VR4wYIDKs2fP9nl7xC3bJ37xxRdV7tatm8pZs2ZV2XaARETmzJmj8ogRI1S2PSPbiSxSpIjPbbBrl9sOyN30dHF3bCcnVapUKtv+7Llz5xz3wZre8ce+F+yaza1bt3bcxvaP7efClStXVLad6L59+6o8b948lfPmzesz2962t8+lmjVr+sy2i3js2DHHfQBIGPa4QUSkX79+Krds2VJlf8eWdl1oO5/OuHHjVLZr+tpjF7tvFBFp1qyZyq+++qrKJUqUUNn2tu2+8YcfflCZ9e4Dh527w/aP7bFyVFSU4z7snE8XLlzw+Zj2/MbOJ2Qf085RZNetTqxjKY64AQAAAABwgRNpAAAAAABc4EQaAAAAAAAXgrojbdfn7Ny5s+M6gwYNUtn2WS37N/pdunRR2a7dZ9dVs51KxI7tF9q18mwn+vnnn1fZdptsx/2XX35xPKbtvdvb2PX4XnjhBZWrVKmisr8eku2qeOvhIm7YNYRr166tcvbs2VW2HaAlS5Y47vPo0aNxs3FwsB3p9OnTq1yoUCHHbbx1km939uxZlTdu3Kjy6tWrfV7fjqGdO3eqbDva3uY8sOtG29ts375dZTrSiC1/7wv8wx5bPvjgg47rNGzYUGV/nWh7bDht2jSV33nnHZXPnDmjcvHixVWuU6eOyg888IDjMW0n1R4P2WMRu412Pph9+/Y5HgOJIywsTOUWLVr4zHZMr1ixwnGf9jK7TrQ/du1z+7llj53t+dPhw4cd95kQvWm+kQYAAAAAwAVOpAEAAAAAcIETaQAAAAAAXAiqjrTtc9iOil0zT8R/J9rfWn7Tp09X+cSJE/42E7Fg1/EtVaqUyvfdd5/Kdo3mLFmyqGz7zf3791fZW0d6165dPrexYMGCKrdv315lu66s7abYtfls737hwoWOx2St4rhhO/a2V2b3F7YjbfuyIiLXrl2Lo62DZV+v8uXLq2zfa97Y3p/tRNv3n91n2DFge2P2/po0aaKyt4607bfZ21igEAAAlYxJREFU29h5ErZu3aoy+wP4m0vD9hHtZ+mff/4Z15uUZBUoUEDlxx9/XOVGjRo5bmOPNfyxc6HYNXdbtWqlsp03oUKFCirnzJlTZW/HunbfY/eF9njWriP8n//8R+WTJ086HgOJw64bbT9DihYtqrJ97Tdv3uy4z9OnT6tsP/v8sY9x8eJFlcePH6/ylStXVLZroycUvpEGAAAAAMAFTqQBAAAAAHCBE2kAAAAAAFxI1h1p2/l47LHHVP7ss89UDg8P93uf9m/4Bw8erPL777+vsv0bf8Qvu76q7SbZNZptD8x2PJYvX66y7UQfOnTIsQ12jNg+o+0uRUREqGzXmbXsusO2K3XkyBGft8fds51a2zuznTLbCduxY4fjPvPnz6+yncvB9lnt62vnacA/7HvLvvfs+98b+3pERkaqnDlzZp/Xt2xvzHakbYfaW5fS7mNu3rzp8zGRvNgxZ7O3Drzdb9g1fu24tO+NcuXKqWzXMQ4m9jParrnbt29flb2tEW0/K/ytyZwmTRqVX3/9dZXtsY9d99vbXAv+2M8W24sfPny4ysuWLVPZzhdhfyckHnt+ZMePnW/IzuVi1ykXif/X184TECj4RhoAAAAAABc4kQYAAAAAwAVOpAEAAAAAcCFZd6Rtn/Ff//qXyjHpRNvekO18fPnllyrTiU5Ytgfkdo1m2/sYPXq0yiNGjFD52LFjKnvrhNguUv369VV+4403VLadS3t7u422m/bTTz+pzBiMO7YLV6tWLZXtWpyW7ZiVKFHCcZ3u3burbHu9dr3XqVOnqvy///1PZdaqvzN/vURvl/nrKtrsj+0z79y5U2U774JdR17EOZfD+vXrVbZdfDrUSYsdg82aNVO5W7duKtesWVNlb+upDh06VOVx48apbMeU7eY3btxY5YEDB6rsds3Y5MT2S+2xpbd+sr+5FCz7WWSPG/yxvXl7XLF9+3bHbeyxhs22M23X9UXgsMfKZcuWVdnOiWDH7OHDh1VesmSJ4zG8zc0QDPhGGgAAAAAAFziRBgAAAADABU6kAQAAAABwIUl3pP2tE207PHny5PF5f946PoMGDVLZdmbtmr6IX7bnUbt2bZVtd8y+5rYrOH36dJU///xzle/m9bXj8sEHH1S5QIECKtuulN3GPXv2qGzX/7x06ZLKrNUYf/yttWjZDvXLL7/suE769OlV9tedy507t8rbtm1TecaMGSoHcz/WdrZs39z2BEX8r+Nuu2N3sz7r7WzP0K5B662Hv27dOpX37dunsl1vM5jHQFJg3/OFChVS+f333/f5c/u56G0M2/kdZs6c6XOb7OeIXd88mNn3k30/btmyReVSpUo57sPfZ4ftG9uO6smTJ1W2ndWDBw/6/Ll9Pe064yLOOT7imz128jcHiYjzeaGn7Z19bsuUKaOyv+MQ+9lpczDjG2kAAAAAAFzgRBoAAAAAABc4kQYAAAAAwAVOpAEAAAAAcCFJTzZWuXJllXv27KlywYIFfd7eTkTjbYHxuJh8CncnLCzMcZmdPMxOLtaoUSOV7YQaO3bsUHno0KEq792719U2epsYqlixYio//PDDKtuJYOyEHnaSkAEDBqi8YMEClZlIKHDZ1zpNmjSO6/zxxx8q28lSKlSooHJkZKTK5cqVU3nWrFkqB/P4uHDhgsp24r7z5887bhMeHu7qMexkY/4mi7OuXr2q8i+//KKyt/2g3a/ZMRPMr3lSVLZsWZW//PJLlYsUKaKyfX3tccknn3zieIwJEyaobCe7ypgxo8p28tVNmzb5/Hkwsc//jz/+qLKd7O+LL75w3IeddNTe508//aTyO++8o/KxY8dUtmPATqRoj3cTg50Uz36WNWzYUOWuXbs67sNOgmcnFZ49e7bKyXVfaI8tMmXKpLKdPMxOetumTRuV7eeMfZ7t+LHHJSIiBw4cUNl+LiXXiXD5RhoAAAAAABc4kQYAAAAAwAVOpAEAAAAAcCGgO9K2e1arVi2Vv/76a5WzZcvm8/4uXbqkcpcuXVS23QoRkRMnTvjdTsSPHDlyOC67//77Vbb9UNvbsn3DtWvXqmz7yG47HKlTp3ZcZrsj2bNn9/kYdhvsNttseyeIP7bvavdJ/tjxuHXrVsd1Xn31VZWrVaumcvHixVW2Hd57771X5bx586q8a9euGG1rcnT69GmVN2zYoPL+/fsdt8maNavP+7RdNPt+z58/v8o7d+5U2b7/bT558qTPx0fSZ+dKeOyxx1S273k7j8b8+fNVtv1nb8cy9nOjcOHCMdvY/8/bfAK4xT63di4GO6eBiLMjbfnbL9jHCER2nNevX1/l1q1bq1yzZk2Vve2Lbfe7fPnyKs+dO1fl5NKRzpcvn8qPP/64ytWrV1fZji97e9tPt+yxjz3OePfddx23sfMurFq1SuWkMGbvBt9IAwAAAADgAifSAAAAAAC4wIk0AAAAAAAuBHRH2nYB7RrB/jrRtrcydepUlb/77juVbYcaCcuuY9e2bVvHdVq0aKGy7SPatS7tGsx2HWm3va906dKpbNf3FHF2Xm3Px3ad/vOf/6i8fPlylW3HNbmuxReIbB+2TJkyKtvOtO1jLV26VOX//ve/jsdYvXq1yra3W6VKFZWbNGmict26dVV+9NFHVf74449VDoT1RBOK/V0PHz6s8s8//+y4jX2N7TwItltme3/9+vVT2a5Vb7fh+PHjKvP+Tv7q1aunsu2KhoaGqjxp0iSV7efa7t27VQ7mNZ4DgV3TefHixY7r2Pld7LrAderUUfmZZ55R+e23347FFsYP24l+/fXXVbZrF9vjN7vOtLd94b59+1S2814kh0607SeLiBQtWlTlbt26qWw70Pa59PcYbj937OOJiDz33HMq2/Ewbtw4lZPLfopvpAEAAAAAcIETaQAAAAAAXOBEGgAAAAAAFwKqI23XDe7atavKnTp1cnV/ti9ru2t0ohOX7WjYtTPt2poizp7I3r17VbZ9xD/++ENlf2sw285rlixZVO7YsaPKlStXdtxHiRIlVLa/55kzZ1S2a+3Z34nOZMKx8zI0bNhQZbtWox0vdp9i17S0WUTk6tWrKtvX/+uvv/a5DRkzZlQ5Q4YMjsfALXYN0gMHDjiuY9d8tT1521+12a4D3rx5c5XXr1+v8k8//aRyUl0n3nYTk0NXMa7Y/US7du1Utmu+2nWj7bFLXKwNb+cPsO8NOzdA+vTpY/2YwcI+lwcPHnRcx77PbUc6bdq0Ktt1g0ePHq3ysWPHVI6P4wY7j02xYsVUtsdsr732msr2d7Lsc7Jt2zbHdYYMGaLyggULVE4O+x1vr53tgn/xxRcqP//88yrnzJlTZfs5ZR/DPvdnz55VecWKFSpv3LjRsY2//fabyps3b1Y5uXSiLb6RBgAAAADABU6kAQAAAABwgRNpAAAAAABcSNSOtO2f2jVWa9eurbK/foXtttn1eb31VJB4MmfOrPLLL7+ssu1MizjXxps5c6bKM2bMUNl20+yazrb/WLp0aZUffPBBlZ988kmVvfXGbL/Nds1sF8p2WWw3xa5JSWc67tjOl+149enTR2U7fqzt27er/OOPP6ps+9De2PFi93v+1n9MDh2x+GJ7oXZ9XhGRixcvqmzX7W7cuLHKdp9UsGBBlXv06KGyfT/bfda5c+cc2xRovI0xu2a6naPEfj4HE/s5ZD9n7M/tGLFrj8cF26m1j2l72/Z4zH6OBdP69P7Y58K+x0WcxxZ2P2P3K3bulUGDBqk8cuRIle1cLPa4woqIiPB7md3GFi1aqGw70/bz1Tpx4oTKs2fPVnn48OGO29jedFKdU8It+/rNmjVL5SpVqqicLl06lf11pA8dOqSy7UDbuVq8daTtPj4qKspxneSIb6QBAAAAAHCBE2kAAAAAAFzgRBoAAAAAABcSrCOdLVs2x2WDBw9WuWXLlj7vw1830Lr33ntVrlChgsq252XXPBNxrvtq+6+4e7Y/YztZqVKlctzG32tueyC5c+dWuXDhwiqXK1dO5bJly/r8uV0Hb/fu3Y5tOHnypMpVq1ZV2a7zW69ePZXtusB2nUTbCaKbFnO2i1i/fn2V7XqthQoVUtnug+x4WLNmjcp79uzxu022E/3www+r/O9//1tl2+u3j2HXKaYzfWenT592XLZ27VqV7T6kbt26Ktu1x223MU2aND7vz/YM7Rq0gcjbPsc+l3Y99GDuSLtl+412vpA///zT5+3z5s3ruMz2su1653auDot1pO+efS+IiEyYMEHlBx54QGV7zGyPh1q1aqVyrVq1VLbHCX/88YfPbSxZsqTjMns8lSNHDpX9daDtNuzfv19l+xz4WxtbJHjniLGfC1u3blXZfu7bTr2dk8oep77zzjsqL1++XGV7rJtc14S+G3wjDQAAAACAC5xIAwAAAADgAifSAAAAAAC4kGAd6erVqzsua9iwoc/b2D6iP3ZdYtsttGzXwltfbtSoUSrbtdtsz8CuxXjp0iWf2xDM7HO3ZMkSle26eCLOPmLz5s1Vtmvu2vvInj27yravbNdeXLlypcrffPONynbdYBHnWsFvvvmmz21+9dVXVfa3zuyBAwdUts/bhQsXHNtku/12zcCk0MuMC7YjbedNyJ8/v8p2H2Sz7cPef//9KleqVEllb2sE16lTR2W7X7TrEtt1jr/66iuVFy5cqDId6Tvz1vOyXUK7T7CfG3ZehZo1a6ps1x63vUM7N0Qgsr+zt7VbbXffrjMczOx70K6xbefuiIyMVPnLL79U2c6bYdn1fkWcr4/tPHubkwRxw9t+ZtmyZSrPnDlTZXucYDuubvcjRYsW9flz+9l4N+xxxrfffqvyiBEjVLbze9hjQtyZ3b/aY19/72c7Z4U91rW9fjrRd8Y30gAAAAAAuMCJNAAAAAAALnAiDQAAAACACyGeGC7K5ravbL311luOy/r06aOy/Zv+2D6mWzF5Kuz6mbZbevjwYZU/+ugjle2asbZPazvZ8bFGcEKtw+f29bMdH7umr4iz01qkSBGV7e9m+8Znz55VedGiRSrbnsiKFStUth0eb70R+3vb3m3btm1VbtasmcoREREq2+6/7SHZrovtdIo41xwcMGCAyrYzbSXEmEmI97vtFdn+us1ue552f3Dw4EG/t7G9ffuYdu1N24m2/cmYrF0d3wJ1HxMX7Nqpdp4F23Hv2rWryrabGhfdxLhmO7123oWff/7ZcZvZs2erbHvA/taRTs5jxqpXr57K3bp1U/mhhx5S2fYf7eeOfe68zXlh5/P46aefVLbzOdiu/86dO1W261LHx7GKP0l5zNj7tOtGv/jiiyq3bt1aZTt3hp2vIy7Y/YCdG8GOqWnTpqlsj2ePHz+ucmKsCZ1cjmXs8fJ3332nsl0X3H5u2dfKfk7ZY91gnWslJuMl8D7BAQAAAAAIYJxIAwAAAADgAifSAAAAAAC4kGALPa5fv95x2ZYtW1QuX758Am1NzNmug+1x2z5joUKFVH777bdVth3pqKgolfft26fyvHnzHNvkbQ3P5MCuW9erVy/HdXLkyKGy7ZpZdo1l2x+2nXb73N5NL8R2KmxndciQISpPmDBB5YwZM6pcuXJln9to1we1z6OIyO+//66y7SoFK/v62tfOZn89T9tntz0mb+9d26Net26dyhMnTlTZriFr15VG/LJzFNg+ql0f1o6JdOnSqZwUOtLnz59X2e5XRZz7OfvZhn/Ytd6XL1+ucokSJVT+3//+p7I9Lpk1a5bKdh4FEec8GHZf1LdvX5WrV6/uuA/EHX/zuYwcOVJl+xr37t1b5XLlyqlsjwvscYU9Fjp9+rRjGzdv3qzyqlWrVLafRX/99ZfKdl+J+OPvWMa+Fva1tfvrYO1E343A+wQHAAAAACCAcSINAAAAAIALnEgDAAAAAOACJ9IAAAAAALgQ4onh6uTxscB4mjRpVLYL0GfIkMHn7e0kLXYBcjtx14ULF1Ru1KiR38ezE8PYycbsBA5WihQpVPb3PP7xxx8qP/roo47r7Nixw+d9+JMQC9KLxH7M2OdOxPn828nHLDuBh50Y6Pr163e5dXHHTlhnf8fIyEiV7SQQdgI7O85FnBOJuP29E2LMxMc+xrL7jMaNG6vcp08fn9s0atQon/ffuXNnldOnT6/yL7/84riNnVTGThZnJzi7ceOGz20IBEllH5MQ7Ps7OYiP/SZj5h92G/Pnz+/z+keOHFH5biZ56t69u8r9+/dX2U7MWaZMGZUT47M0mMdM1qxZVbaTi5UuXdpntpP92iziPG6I7XFEIEguxzKhoaEqP/bYYyr7m4h34MCBKtvJInFLTMYL30gDAAAAAOACJ9IAAAAAALjAiTQAAAAAAC4kakfactsls9sUERGhsu2K2j5H7ty5VbadAxFnN8n2qG3vxHYibY/I9lpsB3vx4sUqv/nmm45tOnHihOMyN4K5V4S7k1x6RZZ9z+fMmdPn9W1P0LK3t/u0M2fOOG5z8uRJlRPq/Rmf2MfALcZM4rL7wqJFi6pcqVIllb/66iuV7dwdCYExc2d2PhCb7euVGK9fYgiWYxl7bmHZuVeSw3FHfKAjDQAAAABAHONEGgAAAAAAFziRBgAAAADAhYDqSCdHbteRTojeCr0iuJVce0WIH+xj4BZjJrDZY5lAWM+eMQO3OJaBG3SkAQAAAACIY5xIAwAAAADgAifSAAAAAAC44G7hZrgWCD0iAACAu8WxDAA48Y00AAAAAAAucCINAAAAAIALnEgDAAAAAOBCjNeRBgAAAAAAfCMNAAAAAIArnEgDAAAAAOACJ9IAAAAAALjAiTQAAAAAAC5wIg0AAAAAgAucSAMAAAAA4AIn0gAAAAAAuMCJNAAAAAAALnAiDQAAAACAC5xIAwAAAADgAifSAAAAAAC4kCxOpPfs2SMhISEydOjQOLvPxYsXS0hIiCxevDjO7hOBgfECtxgzcIsxA7cYM3CD8QK3GDNxL9FOpMeNGychISGydu3axNqEBFW/fn0JCQmRbt26qcv3798vAwYMkCpVqkimTJkkS5YsUrt2bfnpp58SaUsDE+PllkuXLsnzzz8vZcqUkYiICEmXLp2UL19ePvroI7l27VoibW1gYsx4t3z5cgkJCZGQkBA5ceJEAm1d0sCY+cffY8T+N2jQoETY0sDFmNGOHj0qL774ouTOnVvCwsKkQIEC8vzzzyfwVgYuxsstfz8Pd/pv4sSJibTFgYcx84+zZ89Kz549pWjRohIeHi758+eX559/Xvbt25cIW3pLykR75CAydepUWbVqldefzZgxQwYPHizNmzeXdu3ayfXr12X8+PFSv359+eKLL+S5555L4K1FYvM1Xi5duiRbtmyRRo0aSYECBeSee+6RlStXSvfu3WX16tUyadKkBN5aBAJfY+Z2N2/elJdeeknSpk0rFy5cSIAtQ6CKyZipX7++tG3bVl1WsWLF+NwsBDB/Y2b//v1SvXp1ERHp1KmT5M6dWw4dOiRr1qxJqE1EAPE1Xh588EH56quvHJd/+OGHsmHDBqlXr158bx4CkK8xc/PmTalfv75s3bpVunTpIsWKFZMdO3bIJ598IvPnz5c//vhD0qdPn8BbzIl0vLt8+bK89tpr0qtXL+nbt6/j53Xq1JF9+/ZJlixZoi/r1KmTVKhQQfr27cuJdJDxN14yZ84sv/zyi7qsU6dOEhERISNGjJAPPvhAcuTIkVCbiwDgb8zcbsyYMbJ//37p0KGDfPTRRwm0hQg0MR0zxYoVk9atWyfgliFQxWTMvPjii5IyZUr59ddfJTIyMoG3EIHE33gpVKiQFCpUSF126dIl6dKli9StW5fjmCDkb8z88ssv8uuvv8qIESOka9eu0ZcXL15c2rdvLz/99JO0aNEiITdZRAK8I3316lXp27evVKpUSSIiIiRt2rRSs2ZNWbRo0R1v8+GHH0r+/PklPDxcatWqJZs3b3ZcZ9u2bdKyZUvJnDmzhIWFSeXKlWXmzJl+t+fixYuybds2V38OOWTIELl586b06NHD689Lly6tTqJFREJDQ6VRo0Zy4MABiYqKivFjBbtgGC93UqBAAREROXPmjKvbBbtgGjOnTp2SPn36yNtvvy0ZM2aM8f1DC6YxI3Lr4Pby5csxvm84BcOY2bZtm8ydO1def/11iYyMlMuXL1M3ukvBMF68+eGHHyQqKkqeeeaZGN8GtwTDmDl37pyIiGTPnl1dnjNnThERCQ8Pj/FjxaWAPpE+d+6cfPbZZ1K7dm0ZPHiw9O/fX44fPy4NGjSQ9evXO64/fvx4+e9//ytdu3aVf//737J582apW7euHD16NPo6W7ZskapVq8off/whvXv3lmHDhknatGmlefPmMm3aNJ/bs2bNGilZsqSMGDEiRtu/b98+GTRokAwePNj1C3zkyBFJkyaNpEmTxtXtglkwjZerV6/KiRMnZP/+/TJt2jQZOnSo5M+fX4oUKRKjx8ItwTRm3nrrLcmRI4e8+OKLMbpveBdMY2bcuHGSNm1aCQ8Pl1KlSlEduUvBMGb+ntcle/bsUq9ePQkPD5fw8HBp2LCh7NmzJ0aPg1uCYbx4M3HiRAkPD5fHHnssxrfBLcEwZipXrixp06aVt956S37++Wc5ePCgLFmyRHr27Cn33XefPPTQQzF6rDjnSSRjx471iIjn119/veN1rl+/7rly5Yq67PTp057s2bN72rdvH33Z7t27PSLiCQ8P9xw4cCD68tWrV3tExNO9e/foy+rVq+cpW7as5/Lly9GX3bx501OtWjVP0aJFoy9btGiRR0Q8ixYtclzWr1+/GP2OLVu29FSrVi06i4ina9eufm+3fft2T1hYmKdNmzYxepxgwHjRvv76a4+IRP9XuXJlz8aNG2P0OMGCMfOPDRs2eFKkSOGZP3++x+PxePr16+cREc/x48dj9DjBgjHzj2rVqnmGDx/umTFjhmfUqFGeMmXKeETE88knn8TocYIFY+aWl19+2SMinsjISM8jjzzi+fbbbz3vv/++J126dJ7ChQt7Lly4EKPHSu4YL96dPHnSkzp1as+TTz4Zo8cIJoyZf8yaNcuTM2dOdfzboEEDT1RUVIweJz4EdEc6RYoUkiJFChG5VTI/c+aM3Lx5UypXrizr1q1zXL958+aSO3fu6FylShW5//77Zc6cOfLBBx/IqVOn5Oeff5a3335boqKi1J9NN2jQQPr16ycHDx5U93G72rVri8fjidG2L1q0SKZMmSKrV6928yvLxYsX5YknnpDw8HBmR3UpmMZLnTp1ZMGCBXLmzBlZuHChbNiwgcmj7kKwjJmXX35ZGjZsKA8//HCM7ht3FixjZsWKFSq3b99eKlWqJG+88YY8++yzifZndElRMIyZ8+fPi4hIjhw5ZPbs2XLPPbf+4DFPnjzyf//3fzJp0iTp0KFDjB4z2AXDeLEmT54sV69e5c+671KwjJmsWbNKxYoVpVu3blK6dGlZv369DBkyRJ577jn5/vvvY/R4cS2g/7RbROTLL7+UcuXKSVhYmERGRkrWrFll9uzZcvbsWcd1ixYt6risWLFi0X9WtGPHDvF4PPLWW29J1qxZ1X/9+vUTEZFjx47FepuvX78uL7/8srRp00buu+++GN/uxo0b0qpVK9m6datMnjxZcuXKFettCTbBMl6yZ88uDz30kLRs2VJGjRolTZo0kfr168uRI0divT3BJrmPmW+//VZWrlwpw4YNi/Xj4pbkPma8SZ06tXTr1k3OnDkjv/32W6y3J9gk9zHz9z+sPPnkk9En0SIiTzzxhKRMmVJWrlwZ6+0JJsl9vFgTJ06UzJkzS8OGDWO9HcEquY+ZXbt2SZ06daR9+/byxhtvyKOPPir9+vWTTz75RCZPnixz586N9fbcjYD+RnrChAny7LPPSvPmzeX111+XbNmySYoUKeS9996TnTt3ur6/mzdviohIjx49pEGDBl6vExcd0/Hjx8uff/4po0ePdnSDoqKiZM+ePZItWzZH/7ljx44ya9YsmThxotStWzfW2xFsgm283K5ly5by5ptvyowZM+jAuhAMY+b111+XJ554QlKnTh193b8npdu/f79cvXqVf7RzIRjGzJ3kzZtXRG5NXIeYC4Yx8/c+xE4ElCJFComMjJTTp0/HenuCRTCMl9vt27dPli1bJi+88IKkSpUq1tsRjIJhzIwbN04uX74sTZo0Uddr1qyZiNz6K6rE+IeYgD6Rnjx5shQqVEimTp0qISEh0Zf//a8h1vbt2x2X/fXXX9EzGv891X6qVKnitZS+b98+uXbtWvR6ircbP368jB8/XqZNmybNmzePvvz111+XsWPHyvDhw+X//u//4m3bkrNgGi/WpUuXRES8/ssj7iwYxsz+/ftl0qRJXieKuvfee6V8+fJeJyOBd8EwZu5k165dInLrz+sQc8EwZipVqiQiIgcPHlTX+3tiTMZMzAXDeLnd119/LR6Phz/rjoVgGDNHjx4Vj8cjN27cUNf7e3WA69evx9t2+hLQJ9J//72/x+OJHhirV6+WVatWSb58+RzXnz59uvqb/TVr1sjq1avl1VdfFRGRbNmySe3atWX06NHy0ksvRU+Z/rfjx4/73NlfvHgxes1nu2TV7Vq1aiUVKlRwXN6iRQtp1KiRdOzYUe6///7oy99//30ZOnSovPHGG/LKK6/c8X7hWzCMlxMnTkhkZKTaUYqIfPbZZyJya1ZDxFwwjBlvs2t+88038u2338r48eMlT548d3wcOAXDmPH2mFFRUTJ8+HDJkiVL9EkTYiYYxkzt2rUlW7ZsMnHiRHnjjTckLCxMRG7N/H7jxg2pX7/+HR8HWjCMl9tNmjRJ8uXLJzVq1LjjfcO3YBgzxYoVE4/HI9999508++yz0df9+uuvRUSkYsWKd3yc+JToJ9JffPGFzJs3z3H5K6+8Ik2aNJGpU6dKixYtpHHjxrJ792759NNPpVSpUtETW9yuSJEiUqNGDencubNcuXJFhg8fLpGRkdKzZ8/o64wcOVJq1KghZcuWlY4dO0qhQoXk6NGjsmrVKjlw4IBs2LDhjtu6Zs0aqVOnjvTr10/69+9/x+uVKFFCSpQo4fVnBQsWVP8aN23aNOnZs6cULVpUSpYsKRMmTFDXr1+/vuNPpYJZsI+XCRMmyKeffirNmzeXQoUKSVRUlMyfP18WLFggTZs2pRLgRbCPGW/fMP79DXTDhg19fsgFq2AfMyNHjpTp06dL06ZNJV++fHL48GH54osvZN++ffLVV19J6tSp7/g4wSrYx0xoaKi8//770q5dO3nwwQelTZs2sm/fPvnoo4+kZs2aLGlkBPt4+dvmzZtl48aN0rt3b8cXBNCCfcw8++yzMnToUHnxxRfl999/l9KlS8u6devks88+k9KlS0uLFi3u+DjxKdFPpEeNGuX18meffVaeffZZOXLkiIwePVrmz58vpUqVkgkTJsj3338vixcvdtymbdu2cs8998jw4cPl2LFjUqVKFRkxYoT6l5RSpUrJ2rVrZcCAATJu3Dg5efKkZMuWTSpWrCh9+/aNr1/zjv4eiNu3b5c2bdo4fr5o0SJOpG8T7OOlRo0asnLlSvn666/l6NGjkjJlSilevLh88MEH8tJLLyX49iQFwT5m4F6wj5nq1avLypUr5bPPPpOTJ09K2rRppUqVKvLFF1/wj3V3EOxj5u/tTp06tQwaNEhef/11yZgxo7z44ovy7rvvRn9jhlsYL7dMnDhRRESefvrpRNuGpCLYx0xkZKSsXbtW+vbtKz/88IN8+umnEhkZKe3bt5d333030f6BN8QT0/nJAQAAAABA4C9/BQAAAABAIOFEGgAAAAAAFziRBgAAAADABU6kAQAAAABwgRNpAAAAAABc4EQaAAAAAAAXOJEGAAAAAMCFlDG9YkhISHxuBxJQQi0dzphJPhJizDBekg/2MXCLMQO3GDNwi2MZuBGT8cI30gAAAAAAuMCJNAAAAAAALsT4T7sBAEDgSZnS90f59evXE2hLAAAIHnwjDQAAAACAC5xIAwAAAADgAifSAAAAAAC4kKw60pkzZ/aZ48OZM2dUPnnypMoJtTwD4oZdtsDfGDp//rzjsitXrsTpNiG4+Fs6g31KcPE2HvLnz69yixYtVLad6K+//lrlEydOxNHWISHcc889PvPNmzd9ZiAh2H1V+vTpVbafXVFRUfG+TUB84xtpAAAAAABc4EQaAAAAAAAXOJEGAAAAAMCFJN2RTpEihcrly5dXuUaNGirbXtHdsN2j9evXq7xw4UKVbV/2xo0bsd4GxJ/IyEiV33nnHZVTp06t8tKlSx33MXv2bJXpI8KXsLAwn9n2ys6dO+fz50hesmbN6risX79+Krds2VJlO0b279+v8syZM1WmUxtYbNe0cePGKpcrV07l5cuXq7xs2TLHffIaI76FhoaqXKZMGZUvXryo8saNG1VmjCIp4htpAAAAAABc4EQaAAAAAAAXOJEGAAAAAMCFJNWRzpIli8q5c+dW+eWXX1b5kUceUdl2qu+G7SPa7tlXX32lsu1Qz58/X2XboabvmLjy5cuncv369VW2Y65Ro0aO+8iVK5fKH374ocqXL1+OzSYiCbGdsZw5czqu06ZNG5Xz5s2rsl2rfvDgwSqfPn1aZXpmyUv16tUdlzVs2FDldOnSqextfXskHXaujmHDhqlsP4cGDRqk8ooVKxz3yX4Bcc1+vtn17Fu3bq3ykiVLVN68ebPKjFEkRXwjDQAAAACAC5xIAwAAAADgAifSAAAAAAC4wIk0AAAAAAAuBPRkY/fco8/zy5Ytq3LVqlVVLl++vMqpU6f2ef83btxwvU0hISEq24mlmjdvrnKBAgVUtpMrHDx4UGUmokpYYWFhKjdt2lRl+/rayTWyZcvmuE87Qdn48eNVtq85kq+IiAiVy5Ur57jOo48+qrKdOGrXrl0q2zFr90lIXkqXLu24LFOmTCpfunRJ5Xnz5qm8cuVKlZnUJ7DZSS/tcQSTkiIxpEypTxns5Jndu3dXOX369CqvWbMmfjYMSER8Iw0AAAAAgAucSAMAAAAA4AIn0gAAAAAAuBBQHWnb9QsPD1e5UaNGKttuYd68eVW+ePGiykePHlV5xowZKp8/f97vNqZNm1Zl24ctUaKEykWKFFE5KipK5WnTpqm8ePFilelCxa9ixYqp3KJFC5VtH9Xy1rP/7bffVD516tRdbh0Cnd1n2fHib58lIpI7d26VbY9s6tSpKp84cULlu5nrAUnHli1bHJcdOnRI5eXLl6s8cOBAlY8fPx73G4Y4kyZNGpWbNWumsu2m2tfTzr1CBx7xwX7e2XmIMmTI4PP6dt4j5vdAcsA30gAAAAAAuMCJNAAAAAAALnAiDQAAAACACwHVkY6MjFT5gQceUNmu0WyvP2fOHJWXLl2q8l9//aXyzz//rPLVq1cd2+SvE2K7aR9//LHKdp3hokWLqmx73bZDQv8xbtkOq+1E2860deXKFZW9rQltx529DZIPuz/Inj27yvXq1VPZ2zrSdi6HHTt2qGw7st72U0i+li1b5risf//+Ki9ZskTlvXv3qsxcG4ElRYoUKjds2FDlTp06qWxfP/v6/v777yonlY60Pb5inAaWVKlSqVyqVCmV77vvPpUzZ86ssn09S5curXLGjBlVPnnypMpJZRwjuPGNNAAAAAAALnAiDQAAAACAC5xIAwAAAADgQkB1pNOlS6eyXYM5U6ZMKts+hV2T2XZVz507p7LtJnrr54SGhqps15HOkSOHyraDazvPtjOdNWtWlVlXL37Fdt3oP//8U+Xp06c7rrNw4UKV6fkkH/b9nD59epXLli2rctWqVVXOmTOn4z737dunst1P2UyPMLjYdcNFRCZMmKAyc2kkLVmyZFHZrhttu6Nnz55V+csvv1T58OHDcbdxccSufW37syLO/aX9fD1w4EDcbxhiLHfu3Cp/+OGHKpcoUUJlO2/R9evXVbYd6YiICJVPnz6tMsdOwcXuM/LkyePz55bdT4qIHD9+PPYb5gffSAMAAAAA4AIn0gAAAAAAuMCJNAAAAAAALgRUR9r+/XuGDBlUtl3BxYsXqzxjxgyVbd/Csmvk2b6GiEjjxo1Vrl27tsp2/UfbA7Kd5zRp0vjMiFu201q4cGGVbcfdsh2dnTt3qrx582bHbVg3OvkKDw9XuUCBAio/+OCDKufPn19lb3MgbNy40Wf2tx9D8PHXibafbbly5VL5woULKtv5Rujhxy3bHX3xxRdVtscRdn36Xbt2qbx161aVE2NtefvZaveNdi3sBx54wHEfBQsWVLlnz54qHzx4UGXGZfzx9tlku/y2s+rveBfe2eMGe+5j5w7wdpvZs2ervH//fpXtPiGu59Gw738RkRQpUqicN29elR999FGVbQffnm/Zzy1/HelTp045Lvvss89UHjRokMpxcbzON9IAAAAAALjAiTQAAAAAAC5wIg0AAAAAgAsB1ZG2bD/VrumcPXt2lW1f48yZMyrb/oZdl9pbL6F58+Y+r2O7T/46IufPn/eZEbdsZ6NcuXIq2zFg2TFoO9GbNm1y3IY1XZMvu88pU6aMynadctsj8tZl3LJli8q2hx8VFeV6O5F82J6YiHNtzGvXrqlsu2effvqpynv37lX5zTffVNnb2tW4e3auhNatW6tsu6j2c2fIkCEqr1q1SuWE6A7b+Vzq1aunsp0fwnakva0JPGXKFJXt5ymd6Phjj6dz5szpuM4rr7yisu282i6/ZXu7v/zyi8r2GD25rhtt14VftmyZyva1GD9+vOM+7HFAhw4dVC5ZsqTKdo1vOy/GV1995TPbNZl79eqlcpcuXRzbaD+HvvnmG5Xt+Y6dA8Geb+3bt8/n/Vv2eRQR6d27t89tatWqlcp305nmG2kAAAAAAFzgRBoAAAAAABc4kQYAAAAAwIWA6kjbv8m3fVTbP65Vq5bKzz77rMo//PCDyrY3Zm9v+44izt6Pv3XMrMuXL6s8a9YslRcuXKjy9evXXd0/fLPdFNtxtx1qt+sgeru+HSO8pklXWFiYym3atFHZdnqKFCmisu1Eb9++3fEY06ZN83kduw9B8mb3Sba/LOLszB45ckTl2rVrq3zvvfeqnC9fPpXtfpKOdOzY/UbTpk1VtuvxWrYrateWj499gh13ttdt93022/6s7cfaDqaIyJdffqmy7f4j7thjFduhtZ9l3i7z1kG9nb8e7vTp01UOlvXr7fNy8eJFlceNG6dy3759Hffh77mx799u3bqpbDvNds12O6fBH3/8ofIjjzyi8rvvvuvYhk8++UTlY8eO+djiuOftWNvuY+ycNHa/tWPHDtePyzfSAAAAAAC4wIk0AAAAAAAucCINAAAAAIALAdWRPnXqlMorVqxQeeXKlSrXrFlTZfs3/s8884zKadOmVdmuIWzXfL3TZb7Yv9E/dOiQyra37a0zibgTERGhcunSpVX29/ran9vOvLd1qHfv3q3ykiVLVLbdMdsTSq5rKSYF9vVOnz69ynb82LU3w8PDVbb7NG/9G9tv9bbWNIKH7cItX77ccR27Hmfx4sVVtuu/2v3U0qVLVbbzkyB27HryLVq0UNl2qO1rbtdPtfsl23eNSbfU3iYyMlJl26u3x08PPfSQyvZ3sGuTv/baayovWLDAsU22K4r4Y/vNFSpU8JlFnK+xZced/Sxbv369yocPH/Z5++TKzpuTKlUqlf/v//5P5Y8//thxH/76xjdu3PB5HyNHjlQ5c+bMKtsO9euvv66y7XkPGjTIsQ2BOJ+L7Y7HB76RBgAAAADABU6kAQAAAABwgRNpAAAAAABcCKiOtP0b/6ioKJVt99R2OgoUKKCyXRvTdoTc9p9j4sqVKyqfPn1a5TNnzqh87dq1ON8G3Jnb19xe3/byq1ev7riNfU1tL2jdunUqjx49WmXbqWYd6oRjX287r0KhQoVUth1qe3vbZbX7MBHnfs7uBxFc7BwJ3333neM69rOsbdu2KtuOru0i2rU07ecSYqdevXoqFy1a1Of17frJ77zzjsr2M8Nft9Tber923eBXX31V5UaNGqls5xexY2TevHkqT5gwQeVZs2apzH4tYdluaIMGDVTu06ePyrlz5/Z7H/Y1tPO7DBw4UOX58+erbI+Pg0X27NlVzpo1q8p2bpXBgwc77qNDhw4q+3s/2c8Rm23nesCAASrbY5X//e9/Kj/11FOOxxw/frzKCd2B97bfs+N8zpw5Kts5i+4G30gDAAAAAOACJ9IAAAAAALjAiTQAAAAAAC4EVEfasn2K1atXq1y4cGGVbUfart0WH2zvwHaZ5s6dq7LtJdAbCmy2i2g7Q94613bc2V5tvnz5VLZrvKZLl05l20UL1p5RYrCvpe1E2/UgLduXt31ob9cBbuftM8J26my/MXXq1Crbtclt3zVY1nONL/ZzwM7fYl8P+5ra44Tff/9dZbuer/2MsHN3tG7d2rGN/taBtp3Inj17+txG24/lWCZxZcmSRWW7T3juuedUtsfL3tbbtfuFPXv2qGzXuLdjJBDXFU4MBw4cUPmPP/5Q2XamvfWPp0+frvKMGTPiZuP+P/taT5o0SWU7XrytdW3n97HjJa7Zfdibb77puM6jjz6qcrly5VSOi+NpvpEGAAAAAMAFTqQBAAAAAHCBE2kAAAAAAFzgRBoAAAAAABcCerIxy05uceLECZUTY8IU+5h24iC7QLiddOTixYs+7w+xExERobK/yaGsu3k97KQrdsIyO4FV7dq1VbbbvGnTJpX37dun8vXr111vIxKGnYyQ9zfiQtGiRVWuX7++ynbioMOHD6tsJ4VhHxI7dsLI4sWLq2wnI7OfCU2bNlX5gQceUHnOnDkq58+fX+Xq1aurHBkZ6dhGO/GTvc/PPvtM5QULFvi8PRKXPY54+umnVW7evLnKdkx5m1zMOn78uMoDBw5UecWKFT6vj1vs/rVjx44q28kF7f5BRKRPnz4qz5492+djxJY9l7GvvZ2wUkTk3LlzcboNVrZs2VQePXq0yg0aNHDcxj7X8TEBGt9IAwAAAADgAifSAAAAAAC4wIk0AAAAAAAuBFRH2vaIbO+odevWKj/44IMqx6Tz4Za/TqPtJezYscNntp1JxC27QHuTJk1UzpEjR6zu3/bEbPdQRGTmzJkqFy5cWGXbZ7Q9ett/K1++vMpRUVEq00sKXHYOBJsBf2wXUkTk4YcfVrlIkSIqX716VeVly5apbOdZQOzYfXaFChVU9tZ5vF3mzJl95gIFCqhsj0tsN3HDhg2Ox7CfSxMmTFDZdgc5Vgls9rghb968KufJk8fn9S1vx7r2+Gb9+vUqHzp0yO99wGnz5s0q2/erPeYTEcmQIUO8bpM/du6fjz76KN4f03ai58+fr3LJkiVVHj9+vOM+vvnmm7jfMINvpAEAAAAAcIETaQAAAAAAXOBEGgAAAAAAFwKqI23ZXlHatGlVTpMmjcr2b/j9rd0YE7bzceXKFZXt3+x/++23Kts1gL2tvYa7Z/uDuXLlUtmuz2k71JZ9vW0H3r7e06dPd9zHlClTVL7vvvtUrlixosq5c+dW2Y5r27+zaw7SkQ4cdvzYte5t9nYb4HZ2rhARkapVq6ps+4+2Az1y5EiVT548GUdbF3y8fYbYz5nUqVO7uk97bGL3CVu2bFHZfg79+uuvKnvrSNs+K+tCJy32PW7XiX7sscdUtsdCdozZ19+ODxGRoUOHqrxt2zaV7fEwYsaeq9j9ea9evRy3seuAB8Nxg93P5cyZU+X7779fZW/7vYTAN9IAAAAAALjAiTQAAAAAAC5wIg0AAAAAgAsB1ZG26xaeP39eZfv373aNMSs8PFxl2z2NSY/Jrsdp19WzHVnbiT579qzfx8Dds/1Bu/6eXVvRHzsGlyxZovKIESNU9tbJsGOmUqVKKts1Qi3bebZrwB49etTn7ZF4bA8ta9asPrO32wC3i4iIcFxWpkwZle18IKdOnVLZdvODoV8XV+z7s3jx4o7rtGjRwud92M+ES5cuqWzXiLWPaT8zdu3apfIvv/yi8rFjxxzbYHuZCGy2i1+sWDGVe/ToobJda9yOIXtsY/vO3uZ7mTZtmsp0ouOHfV7ffvttx3VSpEihcnJ8P9s5j+wcRS+88ILKidWJtvhGGgAAAAAAFziRBgAAAADABU6kAQAAAABwIaA60pZd527MmDEqf/311yrb7lKpUqVUrlu3rsoNGzZU2VtX0V+P5Pvvv1f54sWLjvtA/LFri9ueULp06Vzdn+2y2e6Z7cCfO3fOcR8ZM2ZUOU+ePCqnSpXK5zZcu3ZNZTtXgO2NIHDYfYh97e26hyLOnr9d49d22xBY7Pqudq3LCxcuqGz7y/66bmXLlnVcZjuzdp/www8/qHzw4EGfj4E7s/MavPrqq47r2GMP+5r++OOPKi9cuFDlZ5991uf95cuXT+WBAweq3KBBA5W//fZbxzauW7dOZTvfi+1pst9JXLY3X7RoUZXtfsbfXBv29V2/fr3P7O02SDzJsRNt2c+xmjVrqmzPCQMF30gDAAAAAOACJ9IAAAAAALjAiTQAAAAAAC4EdEfaOn36tMp2jWZ/2a4pbHtF3joI/nokdEgSl113zvaK/PWRrUOHDqls11G0azzbtf1ERFq1auUz2232x45L1oBNPLY3aF8Lm22H33YdvV3HdmgRWOyazQ8//LDKb775psr79u1TeeLEiSrPnz9fZdsDK1eunGMb7DwMZ86cUXnjxo0qB0O/Lq7YzrudS8Vmb7ex6zx//vnnKi9YsEDlRYsWqfzYY4+p/Nprr6lse9vNmzdX+cEHH3Rs4/79+1VevHixyitWrPCZ7Wcfn0Nxy9+4s69xlixZfN6ffc/b/cx//vMflQ8cOOD3PoCEFKidaItvpAEAAAAAcIETaQAAAAAAXOBEGgAAAAAAF5JUR9r2E222HeoTJ06obDvTds0ye30RkfHjx6v8+++/q0yHJLD467Baly5dUnnp0qUq236jXavRdhVFRGrUqKGyvy6TxfqdgcPuI6KiolS264677b8j6bH7gMKFC6tcunRplStXrqxyxYoVVbZr3U+fPl1lb+tI25627dVv2bJFZfYpd2afS9tNHTRokMrZsmVz3Id9fnv37q3yrFmzVLbHDbbTvmnTJpWnTp2qcosWLXxmu+awiLNrb/Mrr7yi8u7du1UeMGCAylOmTFE5qfQZA4X9rLDrQnft2lXlkiVLqmzHrX3+7drx48aNU9m+vhzLAneHb6QBAAAAAHCBE2kAAAAAAFzgRBoAAAAAABeSdaHPds9stmsAZ8qUyXEf5cuXV9n2Suz6nUhYtve+efNmlXfs2KGyfc1Xrlypsl1b8eTJkyrbfmRcsN0k24+zvyN9x/hjO9GHDx9W+aOPPlL5kUceUfn+++9X2Xb07dqtIiJHjx5Vma5aYLOvj+00V6pUSeXHH39c5UKFCqncv39/lVOlSqWyt460Zfd7dr4QxJw9TkidOrXf29i5NtatW6ey2/e03W/YDvVff/2l8rRp01SuV6+e4z4zZMigsu3Ydu7cWWXb/e/Xr5/K586dU3n27Nkq8znlju1Mp02bVmW7X7DsZ9Uvv/yi8oYNG1TmcwaIG3wjDQAAAACAC5xIAwAAAADgAifSAAAAAAC4kKw60ra/atfvtR1o2xHx1hnxtw4xEpftMC9ZskRluxbjoUOHVLbrr9r7s6+/zba/LOLsKzZt2lRl24WyvfuJEyf63Ea6ZwnHrhNte2fWtWvXVM6VK5fKBw4c8HsbJC179+5V2a63azu3dn9gO9O2ixoREeF4TLsPsOtGM3dHzNl9ul1/d9u2bSrny5fPcR+LFi3yeR9xza4ZbDvUW7du9Xsfdr6QAgUKqPzkk0+qnDdvXpXtOtRz585Vmc8p3+zzY9+zK1asUNm+5vb49osvvlDZrl1u91MA4gbfSAMAAAAA4AIn0gAAAAAAuMCJNAAAAAAALnAiDQAAAACAC8lqsjE7achff/2l8rRp01Tes2ePyhcuXHDc54wZM1S2i94jcdkJO+zEXHbysbiePM7bBHXLli1TuVSpUirbSfEmTZqk8vz58/0+BhKGHS+7du1S2U4eZl+7tGnTqhwVFeV4jOvXr8dmE5HI7BixkweOHTtW5fz586tcvHhxlXPnzu33Me2YsZlJMmPOPlcrV65UuU2bNirbyeFERHbs2KHylStX4mjr7k5M9in2OlOmTFHZjks7WZV9nphczB37fNmJTvv06aNytmzZVM6RI4fK69evV9lOhMo+AYgffCMNAAAAAIALnEgDAAAAAOACJ9IAAAAAALgQ4olhccL2OpOC0NBQldOnT69yxowZVfbWK7Kd6KtXr6qcFHsnCbXNSXHMxIV77tH/PpU5c2af1z99+rTKgdiJTogxkxzGi33t7e/k7XlMjt1C9jH/sJ9Dtntar149lTNkyOD3Pu2YWbp0qcp2noakMMaSypjxdvukeBxgZcqUSWX7uXXu3DmVbac3McZYUhkzdyNFihQqp0qVSuWwsDCV7euTFN7ziYFjGbgRk/HCN9IAAAAAALjAiTQAAAAAAC5wIg0AAAAAgAvJuiMN75Jzrwjxg14R3GAfE3MpU6aM9X3YPmRS7EcyZuAWYwZucSwDN+hIAwAAAAAQxziRBgAAAADABU6kAQAAAABwIfblLAAAcFeuX7+e2JsAAADuAt9IAwAAAADgAifSAAAAAAC4wIk0AAAAAAAuxHgdaQAAAAAAwDfSAAAAAAC4wok0AAAAAAAucCINAAAAAIALnEgDAAAAAOACJ9IAAAAAALjAiTQAAAAAAC5wIg0AAAAAgAucSAMAAAAA4AIn0gAAAAAAuMCJNAAAAAAALnAiDQAAAACAC8niRHrPnj0SEhIiQ4cOjbP7XLx4sYSEhMjixYvj7D4ROBgzcIPxArcYM3CLMQM3GC9wizET9xLtRHrcuHESEhIia9euTaxNSFD169eXkJAQ6datm+NnR48eleeee06yZcsm4eHhcu+998r333+fCFsZ2JL7mOnfv7+EhIQ4/gsLC/N6/c8//1xKliwpYWFhUrRoUfn4448TeIsDG+PlH6NGjZInnnhC8uXLJyEhIfLss88m/AYnAYyZW/bv3y8DBgyQKlWqSKZMmSRLlixSu3Zt+emnnxJpywMXY+aWS5cuyfPPPy9lypSRiIgISZcunZQvX14++ugjuXbtWiJtfeBhvHi3fPny6OueOHEigbY2aWDM/MPb9UJCQmTQoEGJsOW3pEy0Rw4iU6dOlVWrVnn92blz56RGjRpy9OhReeWVVyRHjhzy3XffyZNPPikTJ06Up59+OoG3Folt1KhRki5duuicIkUKx3VGjx4tnTp1kscff1z+9a9/ybJly+Tll1+WixcvSq9evRJyc5HIYjJeBg8eLFFRUVKlShU5fPhwQm4eApC/MTNjxgwZPHiwNG/eXNq1ayfXr1+X8ePHS/369eWLL76Q5557LqE3GYnM35i5dOmSbNmyRRo1aiQFChSQe+65R1auXCndu3eX1atXy6RJkxJ6k5GIYvK59LebN2/KSy+9JGnTppULFy4kxOYhAMV0zNSvX1/atm2rLqtYsWK8bpsvnEjHs8uXL8trr70mvXr1kr59+zp+Pnr0aNmxY4csXLhQ6tatKyIinTt3lqpVq8prr70mLVu2lNSpUyf0ZiMRtWzZUrJkyXLHn1+6dEnefPNNady4sUyePFlERDp27Cg3b96Ud955R1544QXJlClTQm0uEpm/8SIismTJkuhvo2//oEJw8jdm6tSpI/v27VPX6dSpk1SoUEH69u3LiXQQ8jdmMmfOLL/88ou6rFOnThIRESEjRoyQDz74QHLkyBHfm4kAEZPPpb+NGTNG9u/fLx06dJCPPvoonrcMgSqmY6ZYsWLSunXrBNiimAnojvTVq1elb9++UqlSJYmIiJC0adNKzZo1ZdGiRXe8zYcffij58+eX8PBwqVWrlmzevNlxnW3btknLli0lc+bMEhYWJpUrV5aZM2f63Z6LFy/Ktm3bXP3ZyZAhQ+TmzZvSo0cPrz9ftmyZZM2aNfokWkTknnvukSeffFKOHDkiS5YsifFjIXmMGY/HI+fOnROPx+P154sWLZKTJ09Kly5d1OVdu3aVCxcuyOzZs2P8WMEuGMaLiEj+/PklJCQkxveJOwuGMVO6dGnHAU1oaKg0atRIDhw4IFFRUTF+LATHmLmTAgUKiIjImTNnXN0umAXTeDl16pT06dNH3n77bcmYMWOM7x9aMI0ZkVtfKF2+fDnG9x2fAvpE+ty5c/LZZ59J7dq1ZfDgwdK/f385fvy4NGjQQNavX++4/vjx4+W///2vdO3aVf7973/L5s2bpW7dunL06NHo62zZskWqVq0qf/zxh/Tu3VuGDRsmadOmlebNm8u0adN8bs+aNWukZMmSMmLEiBht/759+2TQoEEyePBgCQ8P93qdK1eueP1ZmjRpRETkt99+i9Fj4ZakPmZERAoVKiQRERGSPn16ad26tdoWkf/X3n3HR1Wn/f+/ANMICCSEKkFDAAkdsSFYYQEJTUGx4o3rooIieyv61VVYsCyCC7oqsGsXbMstuOKKBRUQEcRClx6aGELvhHJ+f/Azcl3nMCeHTNrM6/l48Md7cmbmJPOZM+c4vj8fkR9//FFERFq3bq1uP++886Rs2bJ5P4e/aBgvCK9oHjO//vqrlC9fPu/zCfkTTWMmNzdXtm3bJhs3bpQpU6bI6NGjpW7dupKenp7v54p20TReHn30UalRo4b0798/348Nt2gaM6+99pokJiZKQkKCZGRkFH9txCkmr776qiMiznfffXfKbY4ePeocPnxY3bZz506nevXqTr9+/fJuW7dunSMiTkJCgrNp06a82+fNm+eIiDN48OC826666iqnadOmzqFDh/JuO378uNOmTRunfv36ebd9+eWXjog4X375peu2oUOH5ut37NWrl9OmTZu8LCLOgAED1Db33HOPU7ZsWScrK0vd3qdPH0dEnIEDB+bruaJBpI+ZsWPHOgMHDnQmTZrkTJ482Rk0aJBzxhlnOPXr13d2796dt92AAQOccuXKeT5GSkqK06dPH9/nigaMF2+JiYlO3759fR8/GjFmTm3VqlVOfHy8c8stt/g+TzRhzGhvv/22IyJ5/1q3bu0sWrTI93miBePldwsXLnTKlSvnfPLJJ47jOM7QoUMdEXFycnJ8nyeaMGZ+16ZNG2fs2LHOBx984IwbN85p0qSJIyLOiy++6Ps8haVEX0if7NixY8727dudnJwcp0uXLk6LFi3yfvbbwLjhhhtc97vwwgudhg0bOo7jONu3b3fKlCnjjBgxwsnJyVH//vrXvzoikjewvAZGEF988YVTpkwZZ/78+Xm3eV1IL1y40ImJiXEuuOACZ86cOc7q1audJ5980omLi3NExLn99ttP6/kjUaSPGS+TJk1yRMR56qmn8m7r16+fk5CQ4Ll9nTp1nO7du4ft+Uszxos3LqRPjTHjbf/+/U6LFi2cKlWqOJs3bw7bc0cCxoz266+/Op999pnz73//27nzzjudiy++2Jk7d27Ynru0Y7z87rLLLnMyMzPzMhfS3hgzp3b48GGnSZMmTuXKlZ0DBw6E7fmDKNH/a7eIyOuvvy7NmjWT+Ph4SU5OlpSUFPnoo49k9+7drm3r16/vuq1BgwaSlZUlIiKrV68Wx3Hk0UcflZSUFPVv6NChIiKydevWAu/z0aNH5d5775VbbrlFzj///JDbNmvWTN566y1Zs2aNXHLJJZKeni7PPfecjB07VkSEiYFOQ2kcM6dy4403So0aNdSyMwkJCZKbm+u5/aFDh05ZI4C3SB8vCL9oGjPHjh2TPn36yLJly2Ty5MlSq1atQtuXSBYtY6Z69erSvn176dWrl4wbN04yMzOlQ4cO8uuvvxba/kSiSB8v7777rnzzzTfyzDPPFNrzRptIHzNeYmNjZeDAgbJr165iq8KW6Fm7J06cKLfddpv06NFDHnjgAalWrZqUK1dOnnrqKVmzZk3gxzt+/LiIiNx///3SsWNHz23C0eN54403ZMWKFTJhwoS8QfmbvXv3SlZWllSrVi2vZ9arVy/p1q2bLFy4UI4dOyatWrXKW9i8QYMGBd6faFJax0woderUkR07duTlmjVryrFjx2Tr1q1SrVq1vNtzc3Nl+/btnOgGEA3jBeEVbWPmjjvukGnTpsmkSZPUpJjIv2gbMyfr1auXPPLII/LBBx/Qg82naBgvDzzwgPTu3VtiY2PzzpN/m5Bu48aNkpuby7lMANEwZkJtJyLFdt5Toi+kJ0+eLGlpafL++++rGWd/+68h1qpVq1y3rVy5Mm/WyLS0NBERiYmJkfbt24d/h/9/GzZskCNHjsgll1zi+tkbb7whb7zxhkyZMkV69OiRd3tsbKz69vq3/wpTmPsZiUrrmDkVx3EkKytLrZHXokULERFZsGCBXH311Xm3L1iwQI4fP573c/iLhvGC8IqmMfPAAw/Iq6++KmPHjpUbbrihyPctUkTTmLEOHjwoIuL5rRi8RcN42bhxo7z11lueE0W1atVKmjdv7jlJFrxFw5g5lbVr14qISEpKSmHvlqcS/b92/7YYt3PSVOjz5s2TuXPnem4/depU2bx5c16eP3++zJs3Tzp37iwiItWqVZPLL79cJkyYIFu2bHHdPycnJ+T+5Hc69z59+siUKVNc/0RErr76apkyZYpceOGFp7z/qlWrZPz48ZKZmck30gGV1jFzqscaN26c5OTkSKdOnfJuu/LKKyUpKUnGjRvn2rZ8+fLSpUsX3+fCCdEwXhBe0TJmRo0aJaNHj5aHH35YBg0a5PvYOLVoGDPbtm3zXLbmpZdeEhH3KhM4tWgYL17nyNdff72InPjCacyYMb7Phd9Fw5jx2m7v3r0yduxYqVq1qpx33nm+z1UYiv0b6VdeeUWmT5/uun3QoEGSmZkp77//vvTs2VO6dOki69atk/Hjx0tGRobs27fPdZ/09HRp27at3HXXXXL48GEZO3asJCcny5AhQ/K2eeGFF6Rt27bStGlTueOOOyQtLU2ys7Nl7ty5smnTJlm4cOEp93X+/PlyxRVXyNChQ2XYsGGn3O7cc8+Vc8891/Nn55xzjvomWkQkIyNDevfuLampqbJu3ToZN26cJCUlyfjx40/5HNEsEseMyIm1fq+//npp2rSpxMfHy9dffy3vvPOOtGjRQv0vcQkJCTJixAgZMGCA9O7dWzp27CizZ8+WiRMnyhNPPCFJSUn5+CtGj2gfLyIiH374Yd7zHjlyRBYtWiSPP/64iIh069ZNmjVrFvK5ok20j5kpU6bIkCFDpH79+tKoUSOZOHGiepwOHTpI9erVQz5XtIn2MTNx4kQZP3689OjRQ9LS0mTv3r3yySefyGeffSZdu3alFmBE+3ix58EikvcNdOfOnV3r2IMx88ILL8jUqVOla9eukpqaKlu2bJFXXnlFNmzYIG+++abExsbm469YCIp0arOT/DYL3an+bdy40Tl+/Ljz5JNPOnXr1nXi4uKcli1bOtOmTXP69u3r1K1bN++xfpuFbtSoUc4zzzzj1KlTx4mLi3PatWvnLFy40PXca9ascW699VanRo0aTkxMjFO7dm0nMzPTmTx5ct424Vj+yhKPWbsd58RSV3Xq1HFiY2OdWrVqOXfeeaeTnZ19Ws8RySJ9zPzxj390MjIynIoVKzoxMTFOenq68+CDDzp79uzx3P6f//yn07BhQyc2NtapV6+eM2bMGOf48eP5/ntGOsbL7/r27XvKv8Orr74a5M8a0RgzJ/w2e+6p/oVzdtbSjjFzwnfffef07t3bSU1NdeLi4pzExESnVatWzt///nfnyJEjgf+ukYrxcmrM2u2NMXPCp59+6nTo0CFvXypXruz84Q9/cGbMmBH4bxpOZRzH4//FAQAAAAAAnkp0RxoAAAAAgJKGC2kAAAAAAALgQhoAAAAAgAC4kAYAAAAAIAAupAEAAAAACIALaQAAAAAAAuBCGgAAAACAAM7I74ZlypQpzP1AESqqpcMZM5GjKMYM4yVycIxBUIwZBMWYQVCcyyCI/IwXvpEGAAAAACAALqQBAAAAAAiAC2kAAAAAAALId0caAFD6nXGGPuwfP37ctY3XbQgP+/e3jh49WkR7AgBAcF498HvvvVfl8ePHq3z48OFC3afiwjfSAAAAAAAEwIU0AAAAAAABcCENAAAAAEAAZZx8LqrGumiRg7UXERRrL5ZcZ599tso9e/ZUuXbt2ip37txZ5aVLl7oec8iQISqvX79eZb/xEMnHmPj4eJVr1Kihsu1AV6pUSeVLL7005OPPnDlT5Q0bNri22b59u8pF9fcuTJE8ZlA4GDNFy29+h3ArjPkiOJcJj/T0dNdty5cvV7lWrVoq5+TkFOo+FQbWkQYAAAAAIMy4kAYAAAAAIAAupAEAAAAACKBUrSNdrlw5lW0Pwa59GnQt1HD0P1gDNLrYMSkiEhMTo7Jfh9KyYyg7Ozvkz22HgzEY2RISElQeMWKEyj169FA5Li5OZTv+GjRo4HoOu97jsGHDVF6zZk1+drVUsu/punXrqnzzzTer3LVrV5XPPPNMle3xoHr16iGff8uWLSrPnj3btc3YsWNVXrZsmcpHjhwJ+RwIL6/PgZPZY3RJWKe9bFn9PYpfr7Mk/g44ffb1TklJcW1jz12uuuoqlStWrBjyMf3YMbV3716Vp0yZ4rqPPT5G6trEJV337t1dtz333HMql8ZO9OngG2kAAAAAAALgQhoAAAAAgAC4kAYAAAAAIIAS1ZG2XbKGDRuq3L59e5VtHyMrK0vldevWqXzw4EGVK1SooLLX+p6272bt2bNH5RkzZqj866+/qrxjxw6V6bOWLrZXlpyc7NomaK/Isj2hWbNmhfx5bm6uyrZD5LVNJKw7Gy3q1aunsu0r33jjjSrbY8qmTZtUtse0pKQk13Pax7TH4jZt2oR8ztLCq9t6+eWXqzxw4ECV7edQ+fLlVT527FjI57SfWzanpaWpbNcBF3H3tvv166ey/SxE+NjzFBH3eqmWPWbbHO5Ou1dXNTY2VmX7OWTPh6z9+/er7Pc7+L0PULSqVq2qsj2uDB482HWf5s2bq2zn0/B6L4TiN4+R7Tvb8y0Rd2967dq1gfYBp8fOzXLXXXe5tnnzzTeLandKFL6RBgAAAAAgAC6kAQAAAAAIgAtpAAAAAAAC4EIaAAAAAIAAinWyMTvRi538wC7uff7556tsJyLYt29fyGwnxLETJVSvXt21j36TKdgJNvr27avy6tWrVZ47d67Kn332mcp2cjKvBc2ZKKro2Ne/UqVKKrdr1851nyZNmqjctWtXlRMTE0M+p53Exb4v7M/thHd2Mg4R9wRkdlIPlBx28io7udg111yjsp1IbsGCBSo/+uijKtvJ7+677z7XPtgxasd9pLCTdom4Jxfr0qWLynYiJzup5QcffKCynVAnJSVFZTvpU+PGjVX2mtDQbnPZZZepzPs9fOx5htdkkVdffXXI+yxbtkzlpUuXqrxr1y6V7bmKHUN+4uLiXLfZSTCbNm2qsp3U0Fq/fr3Ka9asUdmeu9jPpUOHDoV8fITXGWfo03s7cdhFF12kste5jB0zdsIpy04wZ89V7ZiwE9jFx8erbCdIE/GfABiFw56HpqamurZZtGhRUe1OicI30gAAAAAABMCFNAAAAAAAAXAhDQAAAABAAMXakbZdM9vpsJ1l2x2097e9oCpVqgTaH/v8p3Mfu2B9zZo1VT777LNVtl3EhQsXqvzJJ5+4npOuUfjYnn5sbKzKrVq1Url9+/Yq9+/f3/WYXh26kx04cEDlrVu3qmx7RbfddpvKdszYjqwX25vOysryvQ+Khu2uPf/88ypffPHFKu/YsUPlwYMHq2xfazvevvvuO5XtcdXrMSOFPV53797dtY19j9venz0mv/rqqyp//vnnIe9ve4B2Hgbbib777rtd+2iPO4MGDVL5+++/V3nJkiWux0D+2PMMr45mZmamyvY1tV1P23nevHmzyrt371bZzoth52axnxm2zyji7sTauRIyMjJUtj1v+5lhe952jK1YsSJkFnH/Hjh9dozZz5WHHnpI5WbNmoW8v4h7XNlzlezsbJXtsc92om2HdufOnSq3bNlSZa9zXXsMt+9P5hAqPosXLy7uXSgWfCMNAAAAAEAAXEgDAAAAABAAF9IAAAAAAARQrB1pP35dCJtt39VmqzC6FLb/ZrNdQ7Rhw4Yq2/U/vUybNk1l28HDqdkxY/uIdt3ETp06qWx7Zl59aNtJ3bhxo8q2a7Z8+XKVbWfVdpfsWo52bgCvfTqd/j/Cz2t91/vvv1/l1q1bq2zXAJ4wYYLKkydPDrm9ZX9ue2zRpEKFCq7b7DwJtr/65JNPqmz7yH7HY785Lvbt26ey1xwI9jhmP1fs3By2z0qPMLzs57xdk7lRo0Yq33LLLSrbdaTXrl2rsn397GdGTk6Oyv369XPto/3ssj1qO+7tGLGd2j/84Q8qb9++XWU738s999zj2ie79jTnMvlnjwH29bSvt339KleurLLX54b9bJg9e7bKthdvz01tt992oi177LNZxH9OGRSfrl27qjxmzJhi2pOixTfSAAAAAAAEwIU0AAAAAAABcCENAAAAAEAAJWodab9Oc1BBuxN2bcdT3XYyu9aizX5sH9Z22+xagCLudUzpFZ2a7RPXqlVL5b/85S8qt2jRQuX09PSQjz916lTXbTNmzFB51qxZKtvekO0B2d6m7cPZHsr555+vstc6p5UqVXLdhsJnj3Hnnnuua5sePXqobHvUc+bMUfndd99V2a8T7bdPQY9ZpZk9nnutr2z7qvb9aNfbtWtnHjx4MNA+2dejQYMGKtt1rUXcn5X79+9Xef369SrTIzx99m/nNaeAXT/XrgPdpEkTlatXrx4yn3XWWSrbuVTWrFmj8rZt21Ru06aNax/t/B923gzbxffrq9rjjn3f2P6z19wAjMv8s8fppKQkle+77z6V27VrF3J721e2c2+IuHvufucyQY99lh3HjI/SxevcMxpEzxkUAAAAAABhwIU0AAAAAAABcCENAAAAAEAAxdqRtuvY2e6Z/XlB2b6FXXvRdhFFvDt0J2vcuLHKLVu2VNl2U21PxfbjEhMTVb7mmmtcz2l7uStXrlTZb53SSGb/nrYTbddWbNu2rcq2R2bZ3tf06dNd28ybN0/lDRs2qGx7mjbbrtpPP/2ksl2T1I7Bs88+27VPqampKv/4448h9wHh0a1bN5VHjRrl2sa+5+0Y6927d8ifB2WPs927d/e9T6SMD/t72PV5Rdzdwfr166v8yCOPqHzkyBGV7fHZdkntMapu3boq23XFbT9WxP1ZZj+n/NZrRf7ZMWN7oSIi//3vf1X+5ZdfVLYddvs5ZD+n7HmC7R7auVTsGEtOTnbto7Vjxw6Vs7OzVV69erXK69atU9n+HWx3fNWqVSp7rQkcKceVomA70nbuBnseYHv39jhlP0fs3Dsi7jFg1woP9/w8dKJRGvGNNAAAAAAAAXAhDQAAAABAAFxIAwAAAAAQQLF2pKtUqaJys2bNVA7akbb9CtvfsP0Ou4bwf/7zH9dj+nXN7D7adYjtmr933XWXyn5rZ9t+nojIVVddpbLtJmVlZYV8zNLM9gvj4+NVtl2zYcOGqWy7abVr11bZ9sRee+01lW1f2atXZPtqQXs/dtza9Tnt6223t10pEZGmTZuq/OGHH6pMVy087Lrlt912m8rnnHOO6z527Uy7nufWrVsLtE+2W2fXG/Xq4NoxZddKjpTx4nV8X7Rokcr16tVTOS0tTeXhw4er3KpVK5Xt+9W+HvYzo0OHDirbdcVF3H1H+/rYYwbCx/7tRdx9YNuJPnr0aMjH9PtcsmMgNjZWZfsZ4/V8W7ZsUdmOc/vZZnv3fh1pv3Wo7c9RMHYdcDsfjx0z9tzGzuWybNky13PY1zjcnWggEvCNNAAAAAAAAXAhDQAAAABAAFxIAwAAAAAQQLF2pCtWrBgy2z5sUH7r5i1YsEBl26EW8e+E2Pts3LhRZdvBs10m+zvan9sejIh7/UCvbSKVXyfads38ume2x2W7hh988IHKdn1Q24cWKf61EG0HU6Tg7yV4q1atmsojR45U2a4j7dUTHDx4sMqTJ09WOWgfOSYmRmW7bnSXLl1U9urg2v7k448/XqB9KqnsWroiIhMnTlQ5PT1dZdspt+u233PPPYH2wb5fvd6/lu1A29eLLmPROnjwoMqbN29W+dtvvw30eG3atFHZfs55vWdP5tX9t53nadOmqWzPh+xnne3L2h62/dyzx4ji/lyMdH5/35SUFJXbt2+v8sMPP+y6jz1n/vTTT0P+3B5P7RiIlM+NSGA/t/r27auyfa3mz5+vMueUv+MbaQAAAAAAAuBCGgAAAACAALiQBgAAAAAggCIr19puq4hIZmamyrazYbu/Qf+ffNvf+Pzzz1VesWKFyqfTK7M9AtsbCtoJsb+j1++cnw5dJPD63f060Z06dVLZbz1O2wNbuXKlyqtXr1bZduGKovdl1xq3r79fzx6Fp3PnziGzfW1sd1JEZOrUqSp79e6DsGN+zJgxKicnJ6vsddx7//33Vbbvi0jh9bvbteGzsrJU7tmzp8r2c+zMM89U2X6O2c9CuyZwUlKSyl7HQduRtmvA0kUsWvaYe+jQIZXt54xdw9fOa2DHkJ0/xm5vPyPs3B8i7rWu7brRfp919O5LFnuuadert58jiYmJKtesWVNle1wTcR9n7GMsXbpU5R9++CHkPtk5hThXKT7jxo1T2c7j0L17d5Xvvfdelb3mZrr88stVtq+/nX8kJycnX/ta0kXHFRkAAAAAAGHChTQAAAAAAAFwIQ0AAAAAQABF1pGuUaOG6zbbLatfv36gx7T9Cpu3bdumsu0n2nWmUbxs99d2BUVEHnnkEZXbtWunsl8n2vaGZs2apfLMmTNVPnDggMpF0T20fbemTZuq3KRJE5UrVaqkstfauHSRTk/VqlVVtmsv2nWj7brS69atU3no0KGu59i/f3+gfbLjo0qVKir37t1b5QsvvFBlO6bHjh3reg77exW0t12a2N/VrtFs++Kvv/66yrY7VqFCBZWrV6+ush1TI0aMUNmOQS/0V0sWv870li1bVLYd9+bNm6vcrFkzle173j6f7c+KuHvTdl1oO+4ZUyWLfU3tGLJzYXTo0EFluza5nZvBdqZFRFJTU1Vu1KiRynZMrV+/XmW7drn9rPn5559Vzs3NVZnzlsJz3XXXqWyPB3/9619VHjx4sMrPPPOM6zHt+bGd68E+xqOPPqpyaT3m8I00AAAAAAABcCENAAAAAEAAXEgDAAAAABBAkXWkvdYcs90xr21O5teXsP0Ku8adXSeRtTZLFtuRtv0KEXdf2HbvbSfa9uBtr2jGjBkqL168WOXiGCO2u9S4cWOV09PTVbbvo40bN7oe0/Zf4M2On6efflrlSy+9VOWUlJSQj2fXY7ZrRou4j3u2/2jnCrDvga5du6pct25dle14euedd1R++eWXXfsUTZ3ooGzf1a4z7cce5xo0aKCyXbs1Px1plGx+87nYz5mCdkO97m+fw/YR6aMWLa/14U8W9Hx37ty5Kvv1l+35Vfv27V3PYedzSE5OVtl+NiUkJKhsP8vssdLOL2HPz/gcKjxBzwnta+d1bnz33XervGLFisD7VRrxjTQAAAAAAAFwIQ0AAAAAQABcSAMAAAAAEAAX0gAAAAAABFBkk41VqlTJdZud2MdOvmCz3+QLtthuF39ftWqVyoUxkVS5cuVUthPL+PGblEQkcidJsxNTNG/e3LWNnUjJTm5hLV++XGU72dOUKVNUPnjwoN9uhl358uVVrl+/vsrXXHNNyJ/byapmzpzpeo5Zs2apfPTo0cD7GQ3q1Kmj8k033aRyTEyMyvYYZd+bdqKoIUOGuJ6zS5cuIffBvi/sMcUeI+ykMo8//rjKI0eOVNlOnoWi1ahRI5W9PiutPXv2qMz7uWSz79nExESV7Xs+NTU15PZ+E1V5nSNE6nlDaeA1kW6LFi1Utq+xnSx327ZtKtvjvp0MasOGDSpPnz495D7Zib9E3Ocaffr0UTktLU1le35mx/X999+vsh2T9nxsyZIlrn1C8WjWrJnKXtc2dgLDaME30gAAAAAABMCFNAAAAAAAAXAhDQAAAABAAIXWkbb9i0svvdS1jV3s3atHEorthX3++ecqr1y5UuXC6L/aTnTTpk1VbtKkicp+/UZr165drttsb2T37t1+u1kqVKxYUeV69eq5tvHrih05ckTln376KWQ+fPiwyn6vRzjYfa5Vq5bKLVu2VLlGjRoqx8bGqmx7Rvv27XM9p9dtcLP9VL8uoh0vdnvbsfZijyH2MW3vaPv27SrbTvykSZNU/uyzz1SmE1287Ottu2eVK1dW2av/bF/z7Ozs8OwcCoX93Pf7rDv77LNVtp97fnOv7N+/33Wb/QygV1947Fwadp4LEZF27dqpbHvx9nz4yy+/VNmv825/brM9V7JzCImI/PrrryEfIz09XeXMzEyV7fnvmWeeqbId5/Zcx/bERYrmHA1uXbt2VTknJ8e1zbp164pqd0oUvpEGAAAAACAALqQBAAAAAAiAC2kAAAAAAAIotI607QraboRI8E60ZbsSe/fuVbkoOkB2LWzbCbHdp6DrStvfScS9Tmxp7b/av4VdN/qiiy5y3cf+vW1nZ8uWLSqPGzdOZdu5KYp17+xa17YTPXToUJXt723XIrZsz9urV2+3iVZ2zF1xxRUqP/TQQyrbY5QdLy+++KLKubm5IZ/f671qx7CdA2Hx4sUq2zkRbGea9WJLNtuBtvNq2A6113t38+bNKtu+I0oW25m1Y8DOF2N/bu9v2fe8XVPY6zbbo+a4ET61a9dW2fZLRUSGDBmisj1Hto+xaNEilcN93PeaQ8jeZuchWr58ucp2LiS/fdqxY4fKfmtlo+jYc59GjRqpvGnTJtd9WEcaAAAAAAD44kIaAAAAAIAAuJAGAAAAACCAsHWkba/Lrptne2Be97H81lPduXOnyrZDUhj/v77d5w4dOqh88803q2x7Ln7sPv/www+ubTZu3Khyae2/2r6qXVPQZq/7+L3GtqNTFJ0bO0bsGLjwwgtVtp1ovzFjX2+71uPq1atd9ymtPfpws33z/v37q3zZZZeFvL+dn+Cpp55S2faX7XjLz7wNfut/onSrU6eOyi1atFDZHuNsj1BEZMOGDSqnpaWpbMeMHXe2y1++fPlT77C4x7XXPkVrP86LfQ0rVKigct26dVU+55xzVLbrTPvNrWJfb6/1XP3mVuE4Ez62X+q1jnRycrLKtgdv15e3j2HnQino6+d1DLDrOt9yyy0qt2zZUuWrrrpK5fj4eJVtL/+XX35R2Wt+F5QMdnx6zd8UrfhGGgAAAACAALiQBgAAAAAgAC6kAQAAAAAIIGwd6aSkJJUvueQSldu2beu6T9A1le26ebNnz1Z5zpw5Koej82P7rrbXYjvRtvvk1wO3+2i7Z++9957rPnabSOk2JSYmquzX2xNxr1duH8P2rG2//MCBAwH20D1m7brWIu5+mx37tkdk15W2XRS7j7YT/e2336ps1x0Wid4+i33/jRw5UmW7vqfttm3dulXlBx98UGX7WgCWHVO2h1+zZs2Q969WrZrrtlGjRqnst4607cPa9VpTU1ND3t8eUyZOnOja5pNPPlG5tM7dEQ72c8Lvc8lm26n2O1eyr7/Xccn2T1l7vPDYOQm8Pn/t+8N+VsXGxqps15m2/WO/+V/suZI9LtWvX991Hzt/Q48ePVS25y5+++Q3nwtzuZQctpNvj0EfffRRUe5OicY30gAAAAAABMCFNAAAAAAAAXAhDQAAAABAAGHrSPt1gGxv9HTYfsWSJUtU3rNnT4Gfw7J9Vbuunu2V+HWiLdtvtuvsea0HGSnrddrffenSpSrb11dEpEGDBirbv7ft6tsOu+19zJo1S2X7t61UqZLKtkvYpk0b1z7aNV3tfAG2+217QjZ/8803Kq9cuVJl21+064WKFM362cXNdsBE3Ouzdu7cWWWvjvvJ7Piw8zIAQdmuo/2MsePY/lzE/flq2fe73/vfHovtPtjnq1y5susxvv/+e5U3b94c8jmjie2j+s0HYre37OtlO7hr16513cduEylzq5REW7ZsUfmDDz5wbWPnSrj44otVtv3jxx57TOVVq1ap7Hf+67e2efv27V33see7VatWVdkeV+ycIvbvMHr0aJU/++wzlaN5XoWSxp7r2uPFf/7zn6LcnRKNb6QBAAAAAAiAC2kAAAAAAALgQhoAAAAAgADC1pG2nR6/Hlh+2LX4Pv/8c5WnTZum8qFDhwI/hx+7bvQFF1ygsl9XzbId3JycHJWzsrJUtmtnRxLbuVizZo3KtjMt4u642m6Z7QE1b9485M/POuuskPtkx7FdJ9yusyjing/APsbu3btVtl2ThQsXqvzDDz+obLtQtvsWDX1oLykpKa7bHnnkEd9tTmbX150wYULInwN+7Gef33wh9v3r1Ru03UO7JrDfutF2roivv/465M9t99Fu7/Uc0cx+jtg1nO0xvk6dOirbY7odM/bn9vHmzJnj2qcdO3aE3EeET25urspe63r/9NNPKtv5PGwf2XaomzRporLfuuB+60jbPrSI+9hlj0X2XMTOIWLnubHj0j5etJ67lETdunVTeefOnSpv2LChKHenROMbaQAAAAAAAuBCGgAAAACAALiQBgAAAAAggLB1pC3bv/Hrb4i4Oxy2I+3XDS0MtsNhe2B23We7PqRlO8+2M/Ljjz+qXBhrY5dUK1asUPn11193bWM76bajXLNmTZXtWoz2515rJ4ZiO9Zea3rbcWm7/Lbz/PLLL6tsu2z2fYAT7BrQzzzzjGubXr16qWyPMfb9+/zzz6s8Y8aMguwiINWrV1fZrh9ru4r2s/PTTz91PeaIESNUth1ce8ywnc3Y2FiVbQfa/tzOP2IfT4TO7cn81nlevHhxyPv//PPPKtvzCnvcWr16tcp2Hg4R788qFA7b9T1w4IBrm8mTJ6tszzXvvfdele38HklJSYH2yb7+9pzczrsg4j6u2PlcbAfadqTtuD948GC+9hXF77rrrlPZjgXbmY5mfCMNAAAAAEAAXEgDAAAAABAAF9IAAAAAAAQQto607XXOmjXL9z52fV27bl52drbKM2fOVLko1q20v5ddP3PkyJEq286u7cr897//Vdl2SmwnujDWxi6p8rP24tSpU1W26243btxY5aZNm6psO84F5dXTX7duncrvvPOOyrYLbrsmdKK92X7zueeeq3KPHj1c97E9atsTs2vTT5w4sQB7CLjZDnSFChVCbm97hF6fpXYN2nAfM7w6nTh99rPN9lHtut+2Q23HkH297f29OuwoWez5zfz581W255rt2rVTOSEhQWX72VauXDmV7fmy7bx+8cUXrn205+B2vgb7O9g5gOjll17hPleOZPylAAAAAAAIgAtpAAAAAAAC4EIaAAAAAIAAuJAGAAAAACCAMo6dDetUG5qJfvzYorpXcd1OoBEfH6+ynWjLTqBx/PjxQPtUGIJOJGMnpyqOyRjy+ZIXWNAxkx92Ao2YmBiVK1asqHKlSpXCvg8n85rkZ//+/SrbCetK4wQcRTFm/MZL9+7dVR41apTK6enpvs8xadIklR999FGV7eR1OD2l+RgTbnYSzSeeeELltm3bqjxv3jyVhw8f7nrMSByn0Txm8nO+FIo9FyoJ50ZFIZLGjH3N7XGjTZs2KlerVk1le75sz6cXLFigsp1szE6AJyJy5MgRlSNhItSScC5TGthJcS07sa9IZIwPKz/jhW+kAQAAAAAIgAtpAAAAAAAC4EIaAAAAAIAACq0jfTrscxRV/yWc/P5OJeF3iqRekVXQrlk4RGJfrTh6RTaPHDlS5czMTJVtf17E3dm58cYbVV60aJHKJeH9GQki+RgTlN3H5ORklStXrqyy7S5u377d9ZiROE4ZMwgqmsaMPZcJuk+lcW6WwkBHOn/oSJ9ARxoAAAAAgDDjQhoAAAAAgAC4kAYAAAAAIIAS1ZFG0YimXhHCoyT0imwH+nTGVyR2eEoijjEIijGDoBgzCKoknMuUBnYOmqysLJWXLFlShHtTfOhIAwAAAAAQZlxIAwAAAAAQABfSAAAAAAAEQEc6CtErQlD0ihAExxgExZhBUIwZBMW5DIKgIw0AAAAAQJhxIQ0AAAAAQABcSAMAAAAAEEC+O9IAAAAAAIBvpAEAAAAACIQLaQAAAAAAAuBCGgAAAACAALiQBgAAAAAgAC6kAQAAAAAIgAtpAAAAAAAC4EIaAAAAAIAAuJAGAAAAACAALqQBAAAAAAiAC2kAAAAAAALgQhoAAAAAgAAi4kI6KytLypQpI6NHjw7bY3711VdSpkwZ+eqrr8L2mCg5GDMIgvGCoBgzCIoxgyAYL0DxK7YL6ddee03KlCkjCxYsKK5dKFTDhg2TMmXKuP7Fx8d7bp+dnS39+/eX2rVrS3x8vJx99tly++23F/Fel2yMmRN++zuc6t+kSZOK6TcoWRgvv9u9e7cMGTJE6tevLwkJCVK3bl25/fbbZcOGDcWw5yUXY+Z32dnZ8j//8z9SrVo1SUhIkFatWsm///3vYtjrki3Sx8xv3n33Xbn44oslMTFRKleuLG3atJEvvvjCtd3LL78sjRo1kvj4eKlfv7784x//KIa9LbkYL78bN26c9O7dW1JTU6VMmTJy2223Fc/OAgVwRnHvQKQbN26cVKhQIS+XK1fOtc3GjRvlkksuERGRO++8U2rXri2//PKLzJ8/v8j2EyWH35i59NJL5c0333Tdb8yYMbJw4UK56qqrCn0fUXL4jZfjx49Lhw4dZNmyZXL33XdLgwYNZPXq1fLiiy/KJ598IsuXL5eKFSsW9W6jGPmNmT179kjbtm0lOztbBg0aJDVq1JD33ntPrrvuOpk0aZLceOONRb3LKEbDhg2T4cOHS69eveS2226TI0eOyJIlS2Tz5s1quwkTJsidd94p1157rfz5z3+W2bNny7333isHDhyQBx98sJj2HkUtv+Nl5MiRsnfvXrngggtky5YtxbS3QMFwIV3IevXqJVWrVg25Tf/+/eWMM86Q7777TpKTk4toz1BS+Y2ZtLQ0SUtLU7cdPHhQ7r77brnyyiulRo0ahb2LKEH8xsu3334r3333nTz//PMyYMCAvNsbNmwo/fr1k88//1x69uxZFLuKEsJvzEyYMEFWr14tM2bMkCuvvFJERO666y656KKL5H//93+lV69eEhsbW1S7i2L07bffyvDhw+WZZ56RwYMHn3K7gwcPyiOPPCJdunSRyZMni4jIHXfcIcePH5cRI0bIn/70J6lSpUpR7TaKSX7Hi4jIzJkz876NPvk/7AGlSYnuSOfm5spjjz0m5513nlSqVEkSExOlXbt28uWXX57yPmPGjJG6detKQkKCXHbZZbJkyRLXNj///LP06tVLkpKSJD4+Xlq3bi3/+c9/fPfnwIED8vPPP8u2bdvy/Ts4jiN79uwRx3E8f/7zzz/Lxx9/LA888IAkJyfLoUOH5MiRI/l+fGjRMGa8fPjhh7J371656aab8n0fRMd42bNnj4iIVK9eXd1es2ZNERFJSEjI93MhOsbM7NmzJSUlJe8iWkSkbNmyct1118mvv/4qM2fOzPdzoXSPmbFjx0qNGjVk0KBB4jiO7Nu3z3O7L7/8UrZv3y533323un3AgAGyf/9++eijj3yfCydEw3gREalbt66UKVPG9zGBkqxEX0jv2bNHXnrpJbn88stl5MiRMmzYMMnJyZGOHTvKTz/95Nr+jTfekOeee04GDBgg/+///T9ZsmSJXHnllZKdnZ23zdKlS+Wiiy6S5cuXy0MPPSTPPPOMJCYmSo8ePWTKlCkh92f+/PnSqFEjef755/P9O6SlpUmlSpWkYsWKcvPNN6t9ERH5/PPPReTESe5VV10lCQkJkpCQIJ07d5asrKx8Pw9OiIYx42XSpEmSkJAg11xzTb6fB9ExXlq3bi2JiYny6KOPyhdffCGbN2+WmTNnypAhQ+T888+X9u3b5/u5EB1j5vDhw57/gaV8+fIiIvL999/n+7lQusfMjBkz5Pzzz5fnnntOUlJSpGLFilKzZk3XfX/88UcROXG8Odl5550nZcuWzfs5/EXDeAEihlNMXn31VUdEnO++++6U2xw9etQ5fPiwum3nzp1O9erVnX79+uXdtm7dOkdEnISEBGfTpk15t8+bN88REWfw4MF5t1111VVO06ZNnUOHDuXddvz4cadNmzZO/fr182778ssvHRFxvvzyS9dtQ4cO9f39xo4d6wwcONCZNGmSM3nyZGfQoEHOGWec4dSvX9/ZvXt33nb33nuvIyJOcnKy06lTJ+fdd991Ro0a5VSoUMGpV6+es3//ft/nihaMGW/bt293YmNjneuuu873OaIJ4+V306ZNc2rWrOmISN6/jh07Onv37vV9nmjCmDnhnnvuccqWLetkZWWp+/fp08cREWfgwIG+zxUtInnM7NixI+/8pEKFCs6oUaOcd9991+nUqZMjIs748ePzth0wYIBTrlw5z8dJSUlx+vTpE/K5ogXjxVtiYqLTt2/fkI8PlEQl+kL6ZMeOHXO2b9/u5OTkOF26dHFatGiR97PfDiY33HCD634XXnih07BhQ8dxTlxwlClTxhkxYoSTk5Oj/v31r391RCTvYOR1MCmoSZMmOSLiPPXUU3m39evXzxERp3Hjxs6xY8fybn/77bcdEXH+9a9/he35SzvGjLcJEyY4IuJ88MEHYXveSMB4+d28efOcq6++2nniiSecqVOnOsOGDXPKly/v9OrVK2zPHQkYMycsXLjQiYmJcS644AJnzpw5zurVq50nn3zSiYuLc0TEuf3228P2/KVdJI+ZDRs25P2Ht3feeUf9DhkZGc5ZZ52Vd1u/fv2chIQEz8epU6eO071798DPH4kYL964kEZpVaL/124Rkddff12aNWsm8fHxkpycLCkpKfLRRx/J7t27XdvWr1/fdVuDBg3y/hfp1atXi+M48uijj0pKSor6N3ToUBER2bp1a6H9LjfeeKPUqFEj73/nFvm9n3jddddJ2bK/vxy9e/eWM844Q7755ptC259IFeljxpo0aZIkJSVJ586dC20/Ilmkj5e1a9fKFVdcIf369ZOHH35YunfvLkOHDpUXX3xRJk+eLB9//HGh7U+kivQx06xZM3nrrbdkzZo1cskll0h6ero899xzMnbsWBERJgY6DaVxzPx2fhITEyO9evXKu71s2bJy/fXXy6ZNm/KW0EtISJDc3FzPxzl06BBzMQQU6eMFiBQletbuiRMnym233SY9evSQBx54QKpVqyblypWTp556StasWRP48Y4fPy4iIvfff7907NjRc5v09PQC7bOfOnXqyI4dO/JyrVq1RMQ9EVC5cuUkOTlZdu7cWaj7E2miYcycbMOGDTJ79mz505/+JDExMYW6H5EoGsbLa6+9JocOHZLMzEy1Xbdu3UREZM6cOfxHmACiYcyInJjZu1u3brJw4UI5duyYtGrVSr766isROXGSjvwrrWPmt0mpKleu7FoirVq1aiIisnPnTklNTZWaNWvKsWPHZOvWrXk/Ezkxcdb27dvzznXgLxrGCxApSvSF9OTJkyUtLU3ef/99NbPfb/8FzVq1apXrtpUrV8rZZ58tIpK3ZFBMTEyxTLDjOI5kZWVJy5Yt824777zzRERc6+vl5ubKtm3bJCUlpUj3sbSLhjFzsrffflscx2G27tMUDeMlOztbHMeRY8eOqW1/Wx3g6NGjRbqPpV00jJnfxMbGyvnnn5+Xf/vWmgnqgimtY6Zs2bLSokUL+e677yQ3N1ctefbLL7+IiOSdo7Ro0UJERBYsWCBXX3113nYLFiyQ48eP5/0c/qJhvACRokT/r92//Rct56QlOubNmydz58713H7q1KnqgnT+/Pkyb968vG9bqlWrJpdffrlMmDDBc/H3nJyckPsTZAkAr8caN26c5OTkSKdOnfJuu/zyy6VatWoyadIkOXToUN7tr732mhw7dkw6dOjg+1z4XTSMmZO99dZbkpqaKm3btvV9fLhFw3hp0KCBOI4j7733ntr27bffFhE55X+kgbdoGDNeVq1aJePHj5fMzEy+kQ6oNI+Z66+/Xo4dOyavv/563m2HDh2SSZMmSUZGRt43zVdeeaUkJSXJuHHj1P3HjRsn5cuXly5duvg+F06IhvECRIpi/0b6lVdekenTp7tuHzRokGRmZsr7778vPXv2lC5dusi6detk/PjxkpGR4bk2XXp6urRt21buuusuOXz4sIwdO1aSk5NlyJAhedu88MIL0rZtW2natKnccccdkpaWJtnZ2TJ37lzZtGmTLFy48JT7On/+fLniiitk6NChMmzYsJC/V926deX666+Xpk2bSnx8vHz99dfyzjvvSIsWLaR///5528XFxcmoUaOkb9++cumll8ott9wiGzZskGeffVbatWvHckYeon3M/GbJkiWyaNEieeihh1iLMYRoHy+33XabjB49Wvr37y8//vijNG7cWH744Qd56aWXpHHjxtKzZ898/BWjS7SPGRGRjIwM6d27t6Smpsq6detk3LhxkpSUJOPHj/f560WnSB0z/fv3l5deekkGDBggK1eulNTUVHnzzTdl/fr18uGHH+Ztl5CQICNGjJABAwZI7969pWPHjjJ79myZOHGiPPHEE5KUlJSPv2L0iPbxIiLy4Ycf5j3vkSNHZNGiRfL444+LyInqUbNmzUI+F1AiFPHkZnl+m7nwVP82btzoHD9+3HnyySedunXrOnFxcU7Lli2dadOmOX379nXq1q2b91i/zVw4atQo55lnnnHq1KnjxMXFOe3atXMWLlzoeu41a9Y4t956q1OjRg0nJibGqV27tpOZmelMnjw5b5uCLjPyxz/+0cnIyHAqVqzoxMTEOOnp6c6DDz7o7Nmzx3P7t99+22nevLkTFxfnVK9e3Rk4cOApt41WjBntoYceckTEWbRoUb7/htGE8fK7TZs2Of369XPOOeccJzY21qlZs6Zzxx13ODk5OYH+ppGOMfO7Pn36OHXq1HFiY2OdWrVqOXfeeaeTnZ0d6O8ZDSJ9zDiO42RnZzt9+/Z1kpKSnLi4OOfCCy90pk+f7rntP//5T6dhw4ZObGysU69ePWfMmDHO8ePH8/U80YDx8ru+ffue8u/w6quv5vdPChSrMo5z0v87AgAAAAAAQirRHWkAAAAAAEoaLqQBAAAAAAiAC2kAAAAAAALgQhoAAAAAgAC4kAYAAAAAIAAupAEAAAAACIALaQAAAAAAAjgjvxuWKVOmMPcDRaiolg5nzESOohgzjJfIwTEGQTFmEBRjBkEV1ZhB9OAbaQAAAAAAAuBCGgAAAACAALiQBgAAAAAgAC6kAQAAAAAIgAtpAAAAAAAC4EIaAAAAAIAA8r38FYDiYZfeSE5OVrlChQq+j7F582aVjxw5UvAdAwAEVras/g7DHuPtEj3Hjx8v9H1CZLNjzm8MiohUrlxZ5UqVKoV8jqNHj6qcnZ2tctDzDq9xz3sBJQ3fSAMAAAAAEAAX0gAAAAAABMCFNAAAAAAAAdCRBkq4lJQUlR9//HGVmzdvrvLOnTtdj3HnnXeqvHHjRpWPHTtWkF0EUIqVK1dO5aSkJJVtN3LXrl2ux9i+fbvKtucbzeLj41Xu0KGDymlpaSqvWbNG5c8++0zlw4cPh3HvUBrZjnNcXJzKFStWVPmSSy5RuUmTJiqfcYb7cqBx48Yhs92HvXv3qvzVV1+F/Lll+89LlixxbTN79myVt23bFvIxgcLGN9IAAAAAAATAhTQAAAAAAAFwIQ0AAAAAQAB0pIESxq7nWLNmTZVbt26tcr169VTesGGD6zFt/8lrzUgA0aF8+fIq287uTTfdpLLtRs6bN8/1mMOHD1c5KyurAHtYutnu6FVXXaXy6NGjVbbH+OXLl6tsu6LR/LeNVvYzOyMjQ+V27dqp3KxZM5W7dOmicnJysu9z2s6ynX/Fdv9t19/O3+I3b4L9uVf/+cknn1R5/PjxKjPfC4oa30gDAAAAABAAF9IAAAAAAATAhTQAAAAAAAFwIQ0AAAAAQADFOtlYbGysynaigSNHjhTl7gDFIi4uTmU78cz999+v8rnnnhvy8RYsWOC6bdeuXSrbSUQAnB474Y6dxGfr1q0qF8Xnmp2YqG7duir37dtX5VtuuSXk9uXKlVM5NTXV9Zx2Aqynn35a5UOHDp16hyNcTEyMypUrV1bZTv6WkpKiclJSkspFMdmYnTDNjimb7WcKnzHhZc+PN23apPKcOXNU3rJli8q//PKLyvb19bJnzx6Vf/rpJ5XPOussle+9916VW7VqFfI57TFh7969Km/evNm1T+vXr1fZbwIzoLDxjTQAAAAAAAFwIQ0AAAAAQABcSAMAAAAAEECRdaRtD1REpEePHiovWbJE5aVLlxbmLuWL7QGdeeaZKtsOCX2N8PHq8NjXw/69S0Mvy/4OtvNs3xc229951apVKo8dO9b1nNu3bw/5GADyp2rVqirfcccdKl944YUqP/bYYyovXrxY5XC8F+0xJS0tTeVhw4apbI8piYmJgZ4vISHBddull16q8ssvv6yyV98xUtnPoeXLl6ts56yoUqWKytWrV1f5iiuuUHnRokUqHz169HR2U7Gft+3atVO5adOmKtt9tv3ZTz/9VOXDhw8XcA9xMjuGbLbn09OmTQv8HH5zLdSpU0dle2y09u3bp/LUqVNVnjFjhsqzZs1yPYY9jpSGcz5ENr6RBgAAAAAgAC6kAQAAAAAIgAtpAAAAAAACKLSOtF13MjMz07WN7XK+8MILKq9YsULlcPSAQvHq5Hbp0kXlJ598MmR+//33VaYXdPrsWpsi7o667dyUhi6wXT+9RYsWIbNdp9b+jrYjbdePFCmZfweEh9865GecoQ/zdv3RaF7fNz/s39d+Jti1UytVqqTyzp07VX7ggQdU3rZtW+B9susSZ2RkqGzXnr/mmmtU9uo4n+zYsWMq79ixQ2W7lquIuxN9Or9XpLJ/Tz/29a1Ro0bIn4fj3Mj2YW0numvXrirbtcTtmsJz585VmXOhohWOdb3tccLO/9ChQweVbbc/NzdX5dWrV6s8ffp0lefNm6fyhg0bXPtU2NcBQFB8Iw0AAAAAQABcSAMAAAAAEAAX0gAAAAAABFBoHWm73tzNN9/s2sauQ2jXjS7q9eFsr1tEpFWrVirbLtrgwYNVtr2grKys8OxcFLBd4P79+7u26datm8p2fc5nn31W5WXLlql85MiRguxiWDRs2FDl++67T+X09HSVbSfo448/VtmuxWg71JHKzmngtVZ9UlKSypG4lu0f/vAHlf/yl7+obOcVeOONN1S23VYRka1bt4Zp70o/2zkfMGCAytWqVVPZdk0vuugile3cD7ZLbO9v51QQEWndurXKf/vb30L+3L437JwJOTk5Ks+ePVvld999V+UffvjBtU/2vUUn9nf2GL5nzx6V7eeS7abadaTtmFy7dm1Bd9E17pKTk1U+++yzVa5fv77Kdpy+/fbbKttzIxHGSEniNW+CnVvBrkdfq1Ytle1cAPbcZPTo0Sr//PPPKttONXO7oDTgG2kAAAAAAALgQhoAAAAAgAC4kAYAAAAAIIBC60j37NlT5fbt27u2seuZzpkzR+Wi7kh7rVts11K0PSKbkX+2k247WXaNQhF398+uuWz7xXfffbfKdh3DolhD13aP7HvDdqZtn9Gu2WrXW7c98aBrlpZWl112mcqdO3d2bdOgQQOV+/Tpo3IkrKHcvHnzkNl2FwcNGqRy+fLlXY9pe9PRPNeDXYe7YsWKKvt9Btguvx/7/rdrCIuIdOrUSWXbV/WaL+BkBw4cUNn2V9955x2VbWfaristwvquofz6668qT5s2TWW7LnSzZs1UrlOnjsr2PW7fn+E4d7KP4ff62nWkx4wZo/LTTz/tuo/t0B48eDDAHqIg7HmJ7UOLuDvRdhzu2rVL5X/9618q288Rey5DBxqRgG+kAQAAAAAIgAtpAAAAAAAC4EIaAAAAAIAAwtaRtj0y20Xcv3+/6z4PPfSQysW9dqldc1bE3ZG26z3arlMkrlNbWGyX1/buvNYqbdu2rcq2C3jeeeepbHvW+/btU7kwup92XVnbX7RdJLt+tmXXhbbrzkbLWpz272Q7eI0bN3bd56OPPlI53PMu2LVVb775ZpUXLlyo8qeffup6jIK+fhMnTlTZ9gwvvfRSlbt27arygw8+6HpM+7d+4IEHCrKLUc32X+1cHLbD3rFjR5V79OjhesxevXqpnJiYGHIf7DFjwoQJKr/66qsq2y5jtMy7UFjsXAz2vMH27jMyMlSuUqWKym3atFHZHle8zrf82GPj119/rbLt+t9zzz0q2/Mn2/MePny47z783//9n8p2XWGcPr9OtO1Di4jUrl1b5Y8//ljlBQsWqGw70sV9Tg8UBb6RBgAAAAAgAC6kAQAAAAAIgAtpAAAAAAACKLR1pG3nZ/fu3a5tFi9eXFhPny92HWPbhxZx99l27typ8qJFi1SmS3b67DqVe/fudW3jt+6g7epXqFAh5M8LymuNWNvVbdeunco1a9YM+Zh2DK1bt05l238r6vXWi0utWrVUtt1zr7FhO8oF7dzZ8WPXBP/LX/6i8rJly1S23VMR9zEkKNvzf/bZZ1WeMWOGyldeeaXKXv3aK664QmX7e0fTmsH2s8t+btm16+3nin2///nPf1bZvj52fhG7ZrCIfyfa9u7tXAHPP/+8ytnZ2SEfD+Fl572wc6vY18++3rbf+tNPP6ls12cWcc+d4Pe5MW/ePJVzcnJUvummm1S2HWm7vrqdT0JEpH379irbDi4d6fyzf287f4xfJ9r2oUVEvv/++5D3WbNmjcp2DhogGvCNNAAAAAAAAXAhDQAAAABAAFxIAwAAAAAQQNgKo7afYbNXH6e4+8S203Pdddf5bvPBBx+oPGfOHJWjpa9aGOx48OqO2o56cnKyynbceXWYw6l8+fKu266++mqVu3fvrnLVqlVVtn0425ebNGmSyna97Ugdc/a1s11R2wHz+jsU9t/mzDPPVNmuCdywYUOV7brmIu4edUH7x/b+y5cvV/nzzz9XOTMz0/UYderUUdkeB6NpfVD7fnvvvfdUvuyyy1ROSUlR2a+r2KlTJ5XtmDqdY9iWLVtUHjdunMrR9PqVRPb1mTJlisqtWrVS2a4bbvvGdo3mFi1auJ7zm2++UXnDhg0qp6amqmznoLBzVNhjgmU/i73msNi0aZPKp7P+NU6oVKmSyi1btlT54YcfVrlGjRoq2zW8RURGjx6tsv2sOnLkSOD9BCIN30gDAAAAABAAF9IAAAAAAATAhTQAAAAAAAGErSNt11u2PS/bJRbxXlu6MNmuml3v97zzznPdx64JunTpUpVtZxenz/ZZvcbM119/rbJdo7lKlSoq2/XMbY8oKNtN69u3r2uba6+9VmW7jqztiv38888q2zVAP/vsM5WLe26BomK7oU2aNAn5c68+tH39i5o95lx88cWubd544w2V7XqtBWU7+LZz36ZNG9d9bP/xkksuUdnOFRGpPX0R/7kb7GeA7UhbtkdvczjExMSobD+Pg7Kfg15910geA+Fm35N2fXnbTbWfO61bt1b5nHPOUXnQoEGu57z11ltVtn1ku1a1PXbateTtmLDvE/tzhJd9PWznOSMjQ2X7eowdO1bll19+2fUcdlx6ve+BaMc30gAAAAAABMCFNAAAAAAAAXAhDQAAAABAAGHrSNvuqe1kLV682HWfwu4X207IQw89pPL//u//qlyhQgXfx7Q9IttTYV298Nm7d6/rtnXr1qls18u060rbbpntkv30008q256XfX3tWsZ2jWgRdyfadiBtP87ug812+2jlt56u18/t2qj56VWHk11L1aurWhgd2YKyfyf7Pirqv2NJYj+3lixZonJ6errKfl1R2zu0OTc313Ufuw6xPUbYNYNXr14d8jks+3rb45ztiYuIzJo1S+VomcshHOzrsXnzZpWnT5+usv2MqVu3rsr2c0vE/dlo5xOx72l77LLZjrlt27apXK1atZD3F+F8Koj4+HiV7breF154ocp2zh+/MWWPKSJ0ooH84BtpAAAAAAAC4EIaAAAAAIAAuJAGAAAAACAALqQBAAAAAAggbJON2Ym67MQSFStWdN0nJiZG5aNHjxZoH+xEFZdddpnKffv2VTk/k4tZ7du3V/nNN99U2U7CwmQNp89rki07iY6dPMxOktO2bVuV7aRIM2fOVNm+XnZysYEDB6rctGlT1z7ayYXsc3722WcqP/HEEypv2rRJZSbtOWHPnj0hf+71XrN/y4JOimWPa34ToNnt7URUIiIdOnRQ+d1331U56IQ79jntpEI333yzyklJSa7HOHDggMozZsxQuaDH6tJs//79Km/YsEHlgh7z7Ti3kw+KiPzlL39ROTs7W+Vdu3apvH379pDPaT87e/bsqfJjjz2m8pdfful6jPXr16u8du3akM+JU7MTd40ZM0ZlO8HdTTfdpHKzZs1cj2mPA+XLl1c5JydHZXvcscfOb7/9VuWPPvpI5aefflplOyGaiPscrXr16ipnZWW57hMt7LnMrbfeqnLXrl1VjouLU3nZsmUq//nPfw75cyZ2A04P30gDAAAAABAAF9IAAAAAAATAhTQAAAAAAAGcdkfa9vBSUlL0A/v0lUUK3odJTExU2faXbZ/VdnRyc3NVPnjwoOs5zjzzTJUbNmyo8n333afygw8+qPLWrVtdj4n88eqz2l7P0qVLVe7WrZvKthdmO812DJ533nkq9+jRQ2U7jm0fWsTdabbjatasWSrbcR/N/dOT2b+D7bPbn9tjjojIlVdeqbKdF2Hfvn0h9yEhIUFl+/5v0aJFyPvb46RXT/Bvf/ubyk2aNFF57969IZ/Dsr1t+3gdO3b0fYzPP/9c5RUrVgTah0hiX8P69eurbMeY1zEhCDvmvMaMnRvihx9+UNnrs6wgYmNjVba9fhGR7t27q/yPf/xDZY5rp8/OWTBt2jSV7dwh9nNPRKRx48Yq23E1e/ZslXfv3h1yn2wPPzk5WWXbubXvIxH3+ZXXMTxS2U5z5cqVVb799ttVHjRokMq20/7KK6+obDvstlfP3CtAePCNNAAAAAAAAXAhDQAAAABAAFxIAwAAAAAQwGkXUuxamevWrQu5ve3PiIhUrVpVZbsWZs2aNVVu166dyo8++qjKtWvXVtl2UOw+Dh06VOVVq1a59nHChAkq2/UZ+/Tpo7LtJtn1N+1z2B6R3WfbvxMRSUtLC7mPhw4dct0nUthej9+6wH7r/laqVEnlyy+/XGXbqc5Ph2vnzp0qb968WeWVK1eqXNC1jaOFXz/ea+1U+/p9/fXXKtsusGU78rVq1VI5Pj5eZbv+q+1g206+iPs4aNf7DMoem+17xq7PPnnyZNdj2GOr15rukcoeM+zx9v7771fZ9uYLyvaRvTrS9rPL9rI//vhjle0xyY4Re1y0a1fv2LFDZa9xbD9/Y2JiVKYjHT72PW37sjaLiKxevVplO84L2pm1HV/8zn5OiIhce+21Kts5frp06aKyfb3eeOMNlZ999lmV7TwJdKKBwsE30gAAAAAABMCFNAAAAAAAAXAhDQAAAABAAGFbtM/2n2z31/adRdw9PNsftn3V1NRUlW230LK9PrvO3vvvv6+y7Y2JiHz66acq2x6m7TTbXsvZZ5+tsu1k2jVi7bqKdm1OEZFq1aqpvHbtWpU/+ugjlaO5g2u7f7bD3qlTJ5XtOtFnnXVWyMf36qPbzvr06dNVXrBggcrR/PoEYf/WTz/9tMrDhw933cf2W+37NyMjI+Rz+nXi9+/fr/KQIUNUtmt32vElInLxxRerbHvdQdljyldffaWy7exPmTLF9Rjr168v0D6UFrbHK+IeE7YTfc0116hsPwMsr8+VILzW37XjeuTIkSp369ZNZTsO7THHHidbtmypsv2s9Voru1WrVionJSWpbMcdilZhf84UdP30SGLfT17rrtt5DuwcA/Yx7FwWr7/+usp2Pg4ARYNvpAEAAAAACIALaQAAAAAAAuBCGgAAAACAAMLWkbZrQG/ZskVl2+kScfeJbYcnP2v2nsz2FadOnaqy7a4eOHBAZdtJEXGvx9mrVy+VbQfa9oSCdjItr7+B7dzVq1dPZa9OXbSyr6ldz/yee+5RuXz58irbv7/9269YscL1nP/+979Vtt3/aFqTtzDZ97eXwYMHq9y4cWOVvTqyJ7NrcdrX0s6z8M4776hse912fV4R93qgdm3zoOx8FfbYbOeviOb1fe2cCSIimZmZKrdp00ZlrzVhQ7Gfa379ZK/PIcse4+1xrW3btio3adLE9zFPZv8udm1rr76tXbu4tB7n/P62+Vkveffu3Srv2rVL5YL25i2/MSbiHld+60j7jUs7N4Cd68HrvRUt7N/m0ksvdW3jd+5o5zUYPXq0ytEyjwVQ0vGNNAAAAAAAAXAhDQAAAABAAFxIAwAAAAAQQNg60rYPZbuAtg8i4u6E5KcbdjK7fvKbb76psl1nb9u2bSEfz6tXNGvWLJVffvlllQcOHKiyXePZ9pBs59b+PD/dKdvt/uKLL1S2XSf8zv697brdfmwPcOzYsa5tbG+6tHYFSzrbX7Z9ZRGRefPmqWzXZfd7/ffs2aPyjBkzVF65cqXKXuuKn8yrj2zHlM0IH/s5dPvtt7u2ueOOO1S2x3TLvqY7duxQ+euvv1Z52bJlKjdv3lzlK6+8UmWvTrb97LQ5JSUlZA7Kfi6tW7fOtc1bb72l8s6dOwv0nMXFdqKfeOIJlb36rtbSpUtD5oKu6Wzvb/u0y5cvd92nUaNGKtetW1dlO07r1Kmjsn3vnHXWWSr36NFDZft39Dovsd3xSJmvoXr16ipfccUVrm3suaD9+9jzOvueO51zx6CCzlNk5ae7D5R2fCMNAAAAAEAAXEgDAAAAABAAF9IAAAAAAAQQto607T589dVXKtt+joi7f2Efw/aK5s6dq7LtRNtuYTg6I7a38re//U3lt99+W2XbwbzkkktUtuvY2l647WTav6OIu7e9ePFi1zY4wW9Nbb8xYn9u10f3Whc4Nzc3fzuHsPLqott5FMaMGVNUu4MSwH7GXHvttSoPGjTIdZ8KFSqEfEzbgZ44caLKM2fOVHnOnDkq2+6w7aLefPPNKnutAd2qVSuVa9asqbLf+uh+7Frjdi6Ap59+2nWfTz75ROXSOleHff2bNWumclpamu9jJCUlqdy0adOC79hJ/M6VbA9fRCQjI0Pl1NTUQNl2pO3vaMegtX37dtdtCxcuVHnfvn0hH6O0sMed8uXLF/gxatWqpbL9exZ0rXKvY4btegftTNv11O0+05lGJOAbaQAAAAAAAuBCGgAAAACAALiQBgAAAAAggDJOPosUfl1Ty/ZnbM4P26+w3bKSuOag7ZBUqVJF5UqVKoW8v/2dsrOzXdvYLmjQnklhrDfoJeiYyY/09HSVb7rpJpUfeeQRlYN2euzaxL/88ovKjz32mMpeaxdH4rrRRTFmCmO8oHiUlGNM5cqVVf773/+u8i233OK6j12T2f4uP/zwg8o33HCDyraXH/T4bNeNrlixomsb26u+7LLLVPZbH92P3/rpK1ascN2noMe9kjJmqlatqrLtg/fu3dt1n7i4uJCPaedCsftQ0GNfftbrtftgsz338Ntn24H369WPHTvWtU8ff/yxykHnuSkpY8ay67a/8MILrm26deumsj3u2PPfbdu2qWzXDi/oWuVex5nLL7/cd5tQz2nn7xk3bpzKdj6JouhMF9WYQfTgG2kAAAAAAALgQhoAAAAAgAC4kAYAAAAAIICwrSNt2bU2bY5UtmdkOz82Ixj797VdPttxTkhIUNn2Y2zv3na2Pv30U5WnTp2qciT2oYFIcejQIZVtb9NmEfe8CraraNci37hxo8oF7fnZfbZZxP05smjRogI9p5+SOB9JYbFr3Q4fPlxl2/sUcXfS7VrU55xzTshs1xm2/eRwsPMF2GzXIbafjXaN56+++krlzZs3q1wUvfqSyo4h2w0WEcnKylLZrk/eokULle28CHYMZWZmqhyOHr7fHDN+3fyzzjpL5R9//FHl2bNnh7w/UBrwjTQAAAAAAAFwIQ0AAAAAQABcSAMAAAAAEAAX0gAAAAAABFDGyefq5KczUQFKpqJakL4wxkxcXJzKNWvWVLlnz54q20lg7GQWS5YsUXnOnDkq24mGInVyFD9FMWY4xkSOknqMSUpKCpm92Im2tmzZonK0HhPCraSOGctvAiavbSpWrKhyYmJi4McMoly5cq7bMjIyVG7cuLHKS5cuDZlzc3NVzs7OVvnIkSMqF8UEdaVlzHhNHmfPZewEdXZysSuuuELlpk2bqlyjRg2VU1JSQj7+6di7d6/KdsI0O2bsGJg1a5bKxTHZWFGNGUQPvpEGAAAAACAALqQBAAAAAAiAC2kAAAAAAAKgIx2FSkuvKD+PGRsbq7LtTPt1z2wHeseOHSofO3Ys6C5GJDrSCKI0H2NQPBgzhcv2dG22/dSi6KsWVDSNGXsuYzvPCQkJKtsOdjh6+LbzvH//fpV37dqlsn19SsIYoyONcOMbaQAAAAAAAuBCGgAAAACAALiQBgAAAAAgADrSUSiaekUIDzrSCIJjDIJizCAoxgyCoiONcOMbaQAAAAAAAuBCGgAAAACAALiQBgAAAAAgAC6kAQAAAAAIgAtpAAAAAAAC4EIaAAAAAIAAuJAGAAAAACCAfK8jDQAAAAAA+EYaAAAAAIBAuJAGAAAAACAALqQBAAAAAAiAC2kAAAAAAALgQhoAAAAAgAC4kAYAAAAAIAAupAEAAAAACIALaQAAAAAAAuBCGgAAAACAAP4/0eKtPlc1aqgAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "random_indices = np.random.choice(x_train.shape[0], 9, replace=False)\n",
        "\n",
        "plt.figure(figsize=(10, 10))\n",
        "for i, index in enumerate(random_indices, 1):\n",
        "    plt.subplot(3, 3, i)\n",
        "    plt.imshow(x_train[index], cmap='gray')\n",
        "    plt.title(f\"Label: {decode_byclass(y_train[index])}\")\n",
        "    plt.axis('off')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "e60121a4-e736-4889-ea49-8c42228991c5",
        "id": "tQxd_qS2l7mh"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 9 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "3VZfC9uzmNfl"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}