dataset_builder.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 59,
      "metadata": {
        "id": "g0XdzFIbkaUz"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import shutil\n",
        "\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "from sklearn.model_selection import train_test_split"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "id": "dEEtFdzbkaU1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "List of folders:\n",
            "foie_gras\n",
            "club_sandwich\n",
            "cheese_plate\n",
            "cup_cakes\n",
            "garlic_bread\n",
            "gnocchi\n",
            "ice_cream\n",
            "samosa\n",
            "donuts\n",
            "tuna_tartare\n",
            "filet_mignon\n",
            "seaweed_salad\n",
            "french_toast\n",
            "chicken_curry\n",
            "shrimp_and_grits\n",
            "steak\n",
            "test\n",
            "cheesecake\n",
            "red_velvet_cake\n",
            "waffles\n",
            "churros\n",
            "gyoza\n",
            "lobster_roll_sandwich\n",
            "huevos_rancheros\n",
            "breakfast_burrito\n",
            "grilled_cheese_sandwich\n",
            "spaghetti_bolognese\n",
            "falafel\n",
            "poutine\n",
            "greek_salad\n",
            "beef_tartare\n",
            "fried_calamari\n",
            "guacamole\n",
            "ravioli\n",
            "lobster_bisque\n",
            "beet_salad\n",
            "risotto\n",
            "crab_cakes\n",
            "strawberry_shortcake\n",
            "edamame\n",
            "ceviche\n",
            "hot_and_sour_soup\n",
            "spring_rolls\n",
            "sashimi\n",
            "paella\n",
            "clam_chowder\n",
            "miso_soup\n",
            "escargots\n",
            "hot_dog\n",
            "pulled_pork_sandwich\n",
            "bruschetta\n",
            "panna_cotta\n",
            "fish_and_chips\n",
            "pad_thai\n",
            "tiramisu\n",
            "takoyaki\n",
            "macarons\n",
            "apple_pie\n",
            "cannoli\n",
            "scallops\n",
            "frozen_yogurt\n",
            "chicken_quesadilla\n",
            "mussels\n",
            "beef_carpaccio\n",
            "eggs_benedict\n",
            "spaghetti_carbonara\n",
            "omelette\n",
            "train\n",
            "sushi\n",
            "chocolate_mousse\n",
            "beignets\n",
            "bibimbap\n",
            "hummus\n",
            "pork_chop\n",
            "chicken_wings\n",
            "grilled_salmon\n",
            "chocolate_cake\n",
            "tacos\n",
            "hamburger\n",
            "baby_back_ribs\n",
            "pancakes\n",
            "prime_rib\n",
            "pizza\n",
            "nachos\n",
            "macaroni_and_cheese\n",
            "bread_pudding\n",
            "ramen\n",
            "croque_madame\n",
            "lasagna\n",
            "peking_duck\n",
            "deviled_eggs\n",
            "french_fries\n",
            "dumplings\n",
            "fried_rice\n",
            "french_onion_soup\n",
            "pho\n",
            "caprese_salad\n",
            "oysters\n",
            "baklava\n",
            "creme_brulee\n",
            "carrot_cake\n",
            "onion_rings\n",
            "val\n",
            "caesar_salad\n"
          ]
        }
      ],
      "source": [
        "directory_source_path = 'IMAGE SOURCE HERE'\n",
        "all_items = os.listdir(directory_source_path)\n",
        "labels = [item for item in all_items if os.path.isdir(os.path.join(directory_source_path, item))]\n",
        "\n",
        "print(\"List of folders/labels:\")\n",
        "for folder in labels:\n",
        "    print(folder)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "1aqGFOVekaU1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "foie_gras\n",
            "club_sandwich\n",
            "cheese_plate\n",
            "cup_cakes\n",
            "garlic_bread\n",
            "gnocchi\n",
            "ice_cream\n",
            "samosa\n",
            "donuts\n",
            "tuna_tartare\n"
          ]
        }
      ],
      "source": [
        "paths = []\n",
        "label_list = []\n",
        "\n",
        "for i in range(0, 10):\n",
        "    print(labels[i])\n",
        "    for image_name in os.listdir(os.path.join(directory_source_path, labels[i])):\n",
        "        image_path = os.path.join(labels[i], image_name)\n",
        "        label_list.append(labels[i])\n",
        "        paths.append(image_path)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "kZ99zgQQkaU1",
        "outputId": "b28d7310-6ff6-4860-b709-b81a62e7f820"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>image_path</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>foie_gras/2906113.jpg</td>\n",
              "      <td>foie_gras</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>foie_gras/2686450.jpg</td>\n",
              "      <td>foie_gras</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>foie_gras/2080246.jpg</td>\n",
              "      <td>foie_gras</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>foie_gras/1244707.jpg</td>\n",
              "      <td>foie_gras</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>foie_gras/1891930.jpg</td>\n",
              "      <td>foie_gras</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4995</th>\n",
              "      <td>garlic_bread/727963.jpg</td>\n",
              "      <td>garlic_bread</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4996</th>\n",
              "      <td>garlic_bread/2886044.jpg</td>\n",
              "      <td>garlic_bread</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4997</th>\n",
              "      <td>garlic_bread/1647989.jpg</td>\n",
              "      <td>garlic_bread</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4998</th>\n",
              "      <td>garlic_bread/462277.jpg</td>\n",
              "      <td>garlic_bread</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4999</th>\n",
              "      <td>garlic_bread/1113629.jpg</td>\n",
              "      <td>garlic_bread</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5000 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                    image_path         label\n",
              "0        foie_gras/2906113.jpg     foie_gras\n",
              "1        foie_gras/2686450.jpg     foie_gras\n",
              "2        foie_gras/2080246.jpg     foie_gras\n",
              "3        foie_gras/1244707.jpg     foie_gras\n",
              "4        foie_gras/1891930.jpg     foie_gras\n",
              "...                        ...           ...\n",
              "4995   garlic_bread/727963.jpg  garlic_bread\n",
              "4996  garlic_bread/2886044.jpg  garlic_bread\n",
              "4997  garlic_bread/1647989.jpg  garlic_bread\n",
              "4998   garlic_bread/462277.jpg  garlic_bread\n",
              "4999  garlic_bread/1113629.jpg  garlic_bread\n",
              "\n",
              "[5000 rows x 2 columns]"
            ]
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data = pd.DataFrame({'image_path': path, 'label': label_list})\n",
        "data.head(5000)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "id": "2mxrNBlqkaU2"
      },
      "outputs": [],
      "source": [
        "train_df, test_df = train_test_split(data, test_size=0.3, random_state=42, shuffle=True)\n",
        "val_df, test_df = train_test_split(test_df, test_size=0.5, random_state=42, shuffle=True)\n",
        "\n",
        "train_df = train_df.reset_index()\n",
        "test_df = test_df.reset_index()\n",
        "val_df = val_df.reset_index()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 69,
      "metadata": {
        "id": "avmYxGZBkaU2",
        "outputId": "c8754a8b-1777-492e-eb7e-d38413c9821e"
      },
      "outputs": [
        {
          "data": {
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NGzbA398fr169QqlSpeDt7Q1bW9sv2la1DvEN/PthvonIMCQmJursG9VG7e0j46HX8FOuXDmcPn1aZ9qVK1fQr18/9O7dG/Hx8ejatSuKFCmCzZs348mTJxg9ejQyZMiA/v37AwB27dqF6dOnY9KkSbC1tcXy5cvRpUsXHDp0CLly5fqi7TXEIb6JyHAYyo80NYekz22bmmsA1N++/5pew4+ZmRny5s2rPI6KisLUqVPh5uaGFi1aYP/+/Xjx4gW2bt2K7Nmzo0SJEnjz5g2mT5+Onj17wszMDEuXLoW7uzuaNGkCAJgyZQpq166Nbdu2wdPTU1+lERHphSH8SFNriPsnAU6tNQA8WwCo7MamS5cuRXR0NEaMGAEACAwMRMmSJZE9e3ZlmcqVK+P9+/cICgpCwYIF8ejRIzg6OirzTUxMULFiRVy8eJHhh4joG2UIIc4QajBUqgk/YWFhWL16NYYMGYIcOXIAAIKDg2FlZaWzXL58+QAAL1++hIlJUvMLFCiQapnbt2+nuy0igqioKOWxRqOBhYVFup/va4mOjoaI6LsZRKQHhrKf+hbqMIQaAMOoI2UNIgKNRvNZ66km/GzcuBFZs2ZFmzZtlGkxMTHIli2bznKZMmUCAMTGxiI6OhpA0umzj5eJjY1Nd1vi4+MRFBSkPLawsPjiHaj/Cw8fPlReE0NnamqqhF+1SUhIQHx8vL6bQUbGUPZT30IdhlADYBh1fFzDx3ngU1Tz7bF79240a9YM5ubmyjRzc3PExcXpLJccaiwtLZVl01rm36RVU1NTFC9eXHn8uUlS34oWLWoUR340Gg3MzMxU21kvMTERcXFxRvFekHoYyn7qW6jDEGoADKOOlDXcu3fvs9dTRfi5ffs2nj59isaNG+tMt7Kywp9/6p4vDQ0NBQDkz59fOd0VGhqKYsWK6SyTP3/+dLdHo9HA0tIy3evri9oPT35pauxMmNyR0NjeC6LPZQifDUOoATCMOlLW8E/CmirCT2BgIHLnzg0bGxud6fb29ti9ezfev3+PLFmyAADOnz+PzJkzw8bGBmZmZihatCgCAgKUTs8JCQkIDAxEu3btvnod9HWxMyEREaWHKkZ4vnXrFqytrVNNr127NvLmzYuBAwfi9u3b+PXXXzF79mx4eHgo5/U8PDywatUq7Nq1C/fu3cOoUaMQExODli1bfu0yvglqHwla7e0jIqJvnyqO/Lx69Uq5wiulTJkyYeXKlZgwYQJat26N7Nmzo127dujdu7eyTOvWrREZGYm5c+fi3bt3KFWqFFatWvXFBzg0FBx7goiIjJ0qws+KFSs+Oe+HH36Av7//X67ftWtXdO3a9Us3y2DxdBERERkzVZz2IiIiIvpaGH6IiIjIqDD8ENG/ouZO6mpuGxHpjyr6/BDRt0utnegN5S7igPrbR/StYfghon/tW+9Er9YAB/AqSKL/AsMPkZ6o/de82tv3pX3rAY6IPh/DD5Ge8GgDEZF+MPwQ6RGPNhARfX282ouIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVFQRfnbv3o0GDRqgdOnSaNiwIQ4dOqTMe/bsGTw9PVG+fHk4Oztj7ty5SExM1Fl/w4YNqFWrFsqUKYN27drh1q1bX7sEIiIi+kboPfzs2bMHo0ePRvv27XHgwAE0atQIgwcPxh9//IH4+Hh07doVALB582aMHz8emzZtwqJFi5T1d+3ahenTp2PAgAHYuXMnChYsiC5duiAsLExfJREREZGKmejzj4sI5s2bh44dO6J9+/YAgF69eiEwMBAXLlzA8+fP8eLFC2zduhXZs2dHiRIl8ObNG0yfPh09e/aEmZkZli5dCnd3dzRp0gQAMGXKFNSuXRvbtm2Dp6enPssjIiIiFdLrkZ+HDx/i+fPnaNy4sc50Pz8/eHp6IjAwECVLlkT27NmVeZUrV8b79+8RFBSEN2/e4NGjR3B0dFTmm5iYoGLFirh48eJXq4OIiIi+HXo98vPw4UMAQFRUFLp27Ypbt26hYMGC6NWrF2rWrIng4GBYWVnprJMvXz4AwMuXL2FiktT8AgUKpFrm9u3b6W6XiCAqKkp5rNFoYGFhke7n+1qio6MhIp+czzq+HkOoATCMOgyhBoB1qIkh1AAYRh0paxARaDSaz1pPr+Hn/fv3AIARI0agb9++GDp0KA4fPozevXtj1apViImJQbZs2XTWyZQpEwAgNjYW0dHRAAAzM7NUy8TGxqa7XfHx8QgKClIeW1hYwNbWNt3P97U8fPhQeU3Swjq+HkOoATCMOgyhBoB1qIkh1AAYRh0f1/BxHvgUvYYfU1NTAEDXrl3h5uYGAPjpp59w69YtrFq1Cubm5oiLi9NZJznUWFpawtzcHADSXObfpFVTU1MUL15cefy5SVLfihYt+rcp/ltgCHUYQg2AYdRhCDUArENNDKEGwDDqSFnDvXv3Pns9vYaf/PnzAwBKlCihM7148eI4fvw4HBwc8Oeff+rMCw0NVdZNPt0VGhqKYsWK6SyT/NzpodFoYGlpme719UXthyc/lyHUYQg1AIZRhyHUALAONTGEGgDDqCNlDf8krOm1w3PJkiWROXNmXL16VWf6n3/+icKFC8Pe3h63bt1STo8BwPnz55E5c2bY2Nggd+7cKFq0KAICApT5CQkJCAwMhL29/Verg4iIiL4deg0/5ubm6NatGxYtWoT9+/fjyZMnWLJkCc6cOYMuXbqgdu3ayJs3LwYOHIjbt2/j119/xezZs+Hh4aGc1/Pw8MCqVauwa9cu3Lt3D6NGjUJMTAxatmypz9KIiIhIpfR62gsAevfuDQsLC8yZMwchISEoVqwYFixYgEqVKgEAVq5ciQkTJqB169bInj072rVrh969eyvrt27dGpGRkZg7dy7evXuHUqVKYdWqVciVK5e+SiIiIiIV03v4AYAuXbqgS5cuac774Ycf4O/v/5frd+3aVRkJmoiIiOiv6P32FkRERERfE8MPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVPQefkJCQmBtbZ3qv507dwIAgoKC4O7uDjs7O9SsWRNr167VWV+r1WL+/PmoWrUq7Ozs0L17dzx9+lQfpRAREdE3wETfDbh9+zYyZcqEX3/9FRqNRpmeNWtWvH37Fl26dEHNmjUxYcIEXLlyBRMmTEDmzJnRokULAMDixYuxceNG+Pr6wsrKCjNmzEC3bt2wb98+mJmZ6assIiIiUim9h58///wTRYoUQb58+VLNW7NmDUxNTTFx4kSYmJigWLFiePz4MZYvX44WLVogLi4O/v7+GDp0KGrUqAEAmDNnDqpWrYojR46gUaNGX7kaIiIiUju9n/a6c+cOihUrlua8wMBAODg4wMTkfxmtcuXKePToEV6/fo3bt2/jw4cPcHR0VOZny5YNtra2uHjx4n/ediIiIvr2qOLIT86cOdG+fXs8fPgQP/zwA3r16oVq1aohODgYJUqU0Fk++QjRy5cvERwcDAAoUKBAqmWS56WHiCAqKkp5rNFoYGFhke7n+1qio6MhIp+czzq+HkOoATCMOgyhBoB1qIkh1AAYRh0paxARne4zf0Wv4SchIQEPHjxA8eLF4eXlhSxZsuDAgQPo0aMHVq1ahZiYmFT9djJlygQAiI2NRXR0NACkuUx4eHi62xUfH4+goCDlsYWFBWxtbdP9fF/Lw4cPldckLazj6zGEGgDDqMMQagBYh5oYQg2AYdTxcQ2f29dXr+HHxMQEAQEByJgxI8zNzQEApUqVwt27d+Hn5wdzc3PExcXprBMbGwsAsLS0VNaJi4tT/p28zL9Jq6ampihevLjy+HOTpL4VLVr0b1P8t8AQ6jCEGgDDqMMQagBYh5oYQg2AYdSRsoZ79+599np6P+2VOXPmVNP+7//+D6dPn4aVlRVCQ0N15iU/zp8/PxISEpRphQsX1lnG2to63W3SaDSwtLRM9/r6ovbDk5/LEOowhBoAw6jDEGoAWIeaGEINgGHUkbKGfxLW9Nrh+e7duyhfvjwCAgJ0pt+4cQPFixeHvb09Ll26hMTERGXe+fPnUbRoUeTOnRs2NjbIkiWLzvoRERG4desW7O3tv1odRERE9O3Qa/gpVqwYfvzxR0ycOBGBgYG4f/8+pk6diitXrqBXr15o0aIF3r9/j9GjR+PevXvYuXMnVq9eDU9PTwBJ5/bc3d0xc+ZMHDt2DLdv38agQYNgZWUFV1dXfZZGREREKqXX014ZMmTA0qVLMWvWLAwcOBARERGwtbXFqlWrlKu8Vq5cCR8fH7i5uSFv3rwYPnw43NzclOfo378/EhIS4O3tjZiYGNjb28PPzw+mpqb6KouIiIhUTO99fvLkyYOpU6d+cn6ZMmWwZcuWT87PmDEjhg0bhmHDhv0XzSMiIiIDo/dBDomIiIi+JoYfIiIiMioMP0RERGRUGH6IiIjIqDD8EBERkVFh+CEiIiKjwvBDRERERoXhh4iIiIwKww8REREZFYYfIiIiMioMP0RERGRUGH6IiIjIqDD8EBERkVFh+CEiIiKjwvBDRERERoXhh4iIiIwKww8REREZFYYfIiIiMioMP0RERGRUGH6IiIjIqDD8EBERkVFh+CEiIiKjwvBDRERERoXhh4iIiIwKww8REREZFYYfIiIiMioMP0RERGRUGH6IiIjIqDD8EBERkVFJV/i5ePEiPnz4kOa8iIgIHDhw4F81ioiIiOi/kq7w07FjR9y/fz/Nebdu3cLIkSP/VaOIiIiI/ismn7vgiBEj8PLlSwCAiGD8+PHIkiVLquUePXqEPHnyfLkWEhEREX1Bn33kp27duhARiIgyLflx8n8ZMmSAnZ0dpk6d+p80loiIiOjf+uwjPzVr1kTNmjUBAB06dMD48eNRrFix/6xhRERERP+Fzw4/Ka1bt+5Lt4OIiIjoq0hX+ImJicGSJUvw+++/Izo6GlqtVme+RqPBr7/++kUaSERERPQlpetqLx8fHyxfvhw5c+ZE+fLl4eDgoPOfvb19uhrz8OFDlCtXDjt37lSmBQUFwd3dHXZ2dqhZsybWrl2rs45Wq8X8+fNRtWpV2NnZoXv37nj69Gm6/j4REREZvnQd+Tly5AgGDRqEHj16fLGGxMfHY+jQoYiKilKmvX37Fl26dEHNmjUxYcIEXLlyBRMmTEDmzJnRokULAMDixYuxceNG+Pr6wsrKCjNmzEC3bt2wb98+mJmZfbH2ERERkWFI15Gf+Ph4lClT5os2ZMGCBakund+6dStMTU0xceJEFCtWDC1atEDnzp2xfPlyAEBcXBz8/f3Rv39/1KhRAzY2NpgzZw6Cg4Nx5MiRL9o+IiIiMgzpCj/Ozs44efLkF2vExYsXsWXLFvj6+upMDwwMhIODA0xM/neAqnLlynj06BFev36N27dv48OHD3B0dFTmZ8uWDba2trh48eIXax8REREZjnSd9mrQoAHGjRuHsLAwlC1bFhYWFqmWadas2Wc9V0REBIYPHw5vb28UKFBAZ15wcDBKlCihMy1fvnwAgJcvXyI4OBgAUq2XL18+ZV56iIjO6TeNRpNmjWoTHR2tMw7Tx1jH12MINQCGUYch1ACwDjUxhBoAw6gjZQ0iAo1G81nrpSv8DBw4EACwe/du7N69O9V8jUbz2eFn/PjxKFeuHBo3bpxqXkxMTKp+O5kyZQIAxMbGIjo6GgDSXCY8PPyz/n5a4uPjERQUpDy2sLCAra1tup/va3n48KHymqSFdXw9hlADYBh1GEINAOtQE0OoATCMOj6u4XP7+qYr/Bw7diw9q6Wye/duBAYGYt++fWnONzc3R1xcnM602NhYAIClpSXMzc0BJPX9Sf538jL/Jq2ampqiePHiyuPPTZL6VrRo0b9N8d8CQ6jDEGoADKMOQ6gBYB1qYgg1AIZRR8oa7t2799nrpSv8fP/99+lZLZUdO3bgzZs3qFGjhs70cePG4eDBg7CyskJoaKjOvOTH+fPnR0JCgjKtcOHCOstYW1unu10ajQaWlpbpXl9f1H548nMZQh2GUANgGHUYQg0A61ATQ6gBMIw6UtbwT8JausLPwoUL/3aZvn37/u0yM2fORExMjM40V1dX9O/fH02aNMGePXuwefNmJCYmImPGjACA8+fPo2jRosidOzeyZs2KLFmyICAgQAk/ERERuHXrFtzd3dNRGRERERm6Lx5+smTJgnz58n1W+MmfP3+a03Pnzo38+fOjRYsWWLlyJUaPHo1u3brh2rVrWL16NSZMmAAg6dyeu7s7Zs6ciVy5cuH777/HjBkzYGVlBVdX1/SURkRERAYuXeHn9u3bqaZFRUUhMDAQ48ePx5gxY/51w4CkELRy5Ur4+PjAzc0NefPmxfDhw+Hm5qYs079/fyQkJMDb2xsxMTGwt7eHn58fTE1Nv0gbiIiIyLCkK/ykxdLSEtWqVUOfPn0wffp07Nq1K13Pc+fOHZ3HZcqUwZYtWz65fMaMGTFs2DAMGzYsXX+PiIiIjEu6Bjn8K9999x3u37//pZ+WiIiI6Iv4Ykd+RATBwcFYuXLlF7sajIiIiOhLS1f4sbGx+eQlZSKC6dOn/6tGEREREf1X0hV++vTpk2b4yZIlC2rUqIEiRYr823YRERER/SfSFX769ev3pdtBRERE9FWku89PWFgY/P39ceHCBURERCBnzpyoWLEiOnfujNy5c3/JNhIRERF9Mem62is4OBhubm5Ys2YNMmXKBFtbW5iYmGDVqlVo1qwZQkJCvnQ7iYiIiL6IdB35mTFjBkxMTHDw4EEUKlRImf706VN4eHhgzpw58PX1/WKNJCIiIvpS0nXk5/Tp0+jfv79O8AGAQoUKoU+fPjh58uQXaRwRERHRl5au8JOYmIicOXOmOS9Xrlx4//79v2oUERER0X8lXeHH2toa+/btS3Penj17UKJEiX/VKCIiIqL/Srr6/PTu3Rtdu3ZFeHg4GjRogLx58+LVq1c4cOAATp8+jfnz53/pdhIRERF9EekKP05OTvD19cXMmTN1+vfkzZsXU6dORZ06db5YA4mIiIi+pHSP8xMaGgpbW1uMGDEC4eHhuH37NhYsWMD+PkRERKRq6Qo//v7+mDt3Ltzd3VGsWDEAQIECBfDgwQP4+voiU6ZMaNWq1RdtKBEREdGXkK7ws3nzZgwcOBA9evRQphUoUADe3t7IkycPVq9ezfBDREREqpSuq71CQkJQunTpNOeVLVsWz549+1eNIiIiIvqvpCv8fP/99zh37lya8y5evAgrK6t/1SgiIiKi/0q6Tnu1bt0aM2bMQHx8PGrXro3cuXMjLCwMv//+O1atWoUhQ4Z86XYSERERfRHpCj+dO3dGSEgI1q1bh9WrVyvTM2bMiE6dOqFLly5fqn1EREREX1S6L3UfMWIEevfujStXruDdu3fIli0bypQp88nbXhARERGpQbrDDwBkzZoVVatW/VJtISIiIvrPpavDMxEREdG3iuGHiIiIjArDDxERERkVhh8iIiIyKgw/REREZFQYfoiIiMioMPwQERGRUWH4ISIiIqPC8ENERERGheGHiIiIjArDDxERERkVhh8iIiIyKgw/REREZFQYfoiIiMio6D38vHnzBsOGDUPlypVRrlw59OjRA/fv31fmBwUFwd3dHXZ2dqhZsybWrl2rs75Wq8X8+fNRtWpV2NnZoXv37nj69OnXLoOIiIi+EXoPP3369MHjx4+xfPlybN++Hebm5ujcuTOio6Px9u1bdOnSBYULF8aOHTvQp08fzJw5Ezt27FDWX7x4MTZu3IhJkyZh8+bN0Gq16NatG+Li4vRYFREREamViT7/eHh4OL7//nt4enqiRIkSAIDevXujadOmuHv3Ls6dOwdTU1NMnDgRJiYmKFasmBKUWrRogbi4OPj7+2Po0KGoUaMGAGDOnDmoWrUqjhw5gkaNGumxOiIiIlIjvR75yZ49O2bNmqUEn7CwMKxevRpWVlYoXrw4AgMD4eDgABOT/2W0ypUr49GjR3j9+jVu376NDx8+wNHRUZmfLVs22Nra4uLFi1+9HiIiIlI/vR75SWnMmDHYunUrzMzMsGTJElhaWiI4OFgJRsny5csHAHj58iWCg4MBAAUKFEi1TPK89BARREVFKY81Gg0sLCzS/XxfS3R0NETkk/NZx9djCDUAhlGHIdQAsA41MYQaAMOoI2UNIgKNRvNZ66km/HTq1Alt2rTBhg0b0KdPH2zcuBExMTEwMzPTWS5TpkwAgNjYWERHRwNAmsuEh4enuy3x8fEICgpSHltYWMDW1jbdz/e1PHz4UHlN0sI6vh5DqAEwjDoMoQaAdaiJIdQAGEYdH9fwcR74FNWEn+LFiwMAfHx8cPXqVaxfvx7m5uapOi7HxsYCACwtLWFubg4AiIuLU/6dvMy/SaumpqZKewB8dpLUt6JFi/5tiv8WGEIdhlADYBh1GEINAOtQE0OoATCMOlLWcO/evc9eT6/hJywsDOfOnUPdunWVfj0ZMmRA8eLFERoaCisrK4SGhuqsk/w4f/78SEhIUKYVLlxYZxlra+t0t0uj0cDS0jLd6+uL2g9Pfi5DqMMQagAMow5DqAFgHWpiCDUAhlFHyhr+SVjTa4fn169fY/DgwTh37pwyLT4+Hrdu3UKxYsVgb2+PS5cuITExUZl//vx5FC1aFLlz54aNjQ2yZMmCgIAAZX5ERARu3boFe3v7r1oLERERfRv0Gn5KlCiBatWqYfLkybh48SL+/PNPeHl5ISIiAp07d0aLFi3w/v17jB49Gvfu3cPOnTuxevVqeHp6Akg6t+fu7o6ZM2fi2LFjuH37NgYNGgQrKyu4urrqszQiIiJSKb33+Zk9ezZmzZqFQYMGITIyEhUrVsSGDRvw3XffAQBWrlwJHx8fuLm5IW/evBg+fDjc3NyU9fv374+EhAR4e3sjJiYG9vb28PPzg6mpqb5KIiIiIhXTe/jJmjUrxo8fj/Hjx6c5v0yZMtiyZcsn18+YMSOGDRuGYcOG/UctJCIiIkOi99tbEBEREX1NDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFR0Xv4effuHcaOHYtq1aqhfPny+PnnnxEYGKjMP3fuHJo3b46yZcuiXr16OHDggM76sbGxmDBhAhwdHVGuXDkMGTIEYWFhX7sMIiIi+kboPfwMHjwYf/zxB2bPno0dO3bgp59+QteuXfHgwQPcv38fnp6eqFq1Knbu3IlWrVph+PDhOHfunLL++PHjcfr0aSxYsABr1qzBgwcP0L9/fz1WRERERGpmos8//vjxY5w5cwYbN25EhQoVAABjxozBqVOnsG/fPrx58wbW1tYYNGgQAKBYsWK4desWVq5cCUdHR4SEhGD37t1YunQpKlasCACYPXs26tWrhz/++APlypXTW21ERESkTnoNPzlz5sTy5ctRunRpZZpGo4FGo0FERAQCAwNRu3ZtnXUqV64MHx8fiAguXbqkTEtWtGhR5M+fHxcvXkx3+BERREVF6bTJwsIiXc/1NUVHR0NEPjmfdXw9hlADYBh1GEINAOtQE0OoATCMOlLWICLQaDSftZ5ew0+2bNlQvXp1nWmHDx/G48ePMWrUKOzatQtWVlY68/Ply4fo6Gi8ffsWISEhyJkzJzJlypRqmeDg4HS3Kz4+HkFBQcpjCwsL2Nrapvv5vpaHDx8iOjr6k/NZx9djCDUAhlGHIdQAsA41MYQaAMOo4+MazMzMPms9vYafj12+fBkjR46Eq6sratSogZiYmFSFJD+Oi4tDdHR0moVmypQJsbGx6W6Hqakpihcvrjz+3CSpb0WLFv3bFP8tMIQ6DKEGwDDqMIQaANahJoZQA2AYdaSs4d69e5+9nmrCz6+//oqhQ4eifPnymDlzJoCkEBMXF6ezXPJjCwsLmJubp5oPJF0B9m8O1Wk0GlhaWqZ7fX1R++HJz2UIdRhCDYBh1GEINQCsQ00MoQbAMOpIWcM/CWt6v9oLANavX49+/frBxcUFS5cuVU5jFShQAKGhoTrLhoaGwtLSElmzZoWVlRXevXuXKgCFhoYif/78X639RERE9O3Qe/jZuHEjJk2ahPbt22P27Nk6p7EqVqyICxcu6Cx//vx5lC9fHhkyZECFChWg1WqVjs9A0vm/kJAQ2Nvbf7UaiIiI6Nuh1/Dz8OFDTJkyBXXq1IGnpydev36NV69e4dWrV4iMjESHDh1w7do1zJw5E/fv34e/vz9++eUXdOvWDQCQP39+NGzYEN7e3ggICMC1a9cwePBgODg4wM7OTp+lERERkUrptc/P4cOHER8fj6NHj+Lo0aM689zc3ODr64vFixdjxowZWLNmDQoWLIgZM2bA0dFRWW7SpEmYMmUK+vbtCwCoVq0avL29v2odRERE9O3Qa/jp2bMnevbs+ZfLVKtWDdWqVfvkfEtLS0yePBmTJ0/+0s0jIiIiA6T3Pj9EREREXxPDDxERERkVhh8iIiIyKgw/REREZFQYfoiIiMioMPwQERGRUWH4ISIiIqPC8ENERERGheGHiIiIjArDDxERERkVhh8iIiIyKgw/REREZFQYfoiIiMioMPwQERGRUWH4ISIiIqPC8ENERERGheGHiIiIjArDDxERERkVhh8iIiIyKgw/REREZFQYfoiIiMioMPwQERGRUWH4ISIiIqPC8ENERERGheGHiIiIjArDDxERERkVhh8iIiIyKgw/REREZFQYfoiIiMioMPwQERGRUWH4ISIiIqPC8ENERERGheGHiIiIjArDDxERERkVhh8iIiIyKgw/REREZFRUFX6WLVuGDh066EwLCgqCu7s77OzsULNmTaxdu1Znvlarxfz581G1alXY2dmhe/fuePr06ddsNhEREX1DVBN+NmzYgLlz5+pMe/v2Lbp06YLChQtjx44d6NOnD2bOnIkdO3YoyyxevBgbN27EpEmTsHnzZmi1WnTr1g1xcXFfuQIiIiL6FpjouwEhISEYN24cAgICUKRIEZ15W7duhampKSZOnAgTExMUK1YMjx8/xvLly9GiRQvExcXB398fQ4cORY0aNQAAc+bMQdWqVXHkyBE0atTo6xdEREREqqb38HPz5k2Ymppi7969WLRoEZ4/f67MCwwMhIODA0xM/tfMypUrY9myZXj9+jVevHiBDx8+wNHRUZmfLVs22Nra4uLFi+kOPyKCqKgo5bFGo4GFhUW6nutrio6Ohoh8cj7r+HoMoQbAMOowhBoA1qEmhlADYBh1pKxBRKDRaD5rPb2Hn5o1a6JmzZppzgsODkaJEiV0puXLlw8A8PLlSwQHBwMAChQokGqZ5HnpER8fj6CgIOWxhYUFbG1t0/18X8vDhw8RHR39yfms4+sxhBoAw6jDEGoAWIeaGEINgGHU8XENZmZmn7We3sPPX4mJiUlVSKZMmQAAsbGxSsFpLRMeHp7uv2tqaorixYsrjz83Sepb0aJF/zbFfwsMoQ5DqAEwjDoMoQaAdaiJIdQAGEYdKWu4d+/eZ6+n6vBjbm6equNybGwsAMDS0hLm5uYAgLi4OOXfycv8m0N1Go0GlpaW6V5fX9R+ePJzGUIdhlADYBh1GEINAOtQE0OoATCMOlLW8E/Cmmqu9kqLlZUVQkNDdaYlP86fP79yuiutZfLnz/91GklERETfFFWHH3t7e1y6dAmJiYnKtPPnz6No0aLInTs3bGxskCVLFgQEBCjzIyIicOvWLdjb2+ujyURERKRyqg4/LVq0wPv37zF69Gjcu3cPO3fuxOrVq+Hp6Qkgqa+Pu7s7Zs6ciWPHjuH27dsYNGgQrKys4OrqqufWExERkRqpus9P7ty5sXLlSvj4+MDNzQ158+bF8OHD4ebmpizTv39/JCQkwNvbGzExMbC3t4efnx9MTU312HIiIiJSK1WFH19f31TTypQpgy1btnxynYwZM2LYsGEYNmzYf9k0IiIiMhCqPu1FRERE9KUx/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio8LwQ0REREaF4YeIiIiMCsMPERERGRWGHyIiIjIqDD9ERERkVBh+iIiIyKgw/BAREZFRYfghIiIio2IQ4Uer1WL+/PmoWrUq7Ozs0L17dzx9+lTfzSIiIiIVMojws3jxYmzcuBGTJk3C5s2bodVq0a1bN8TFxem7aURERKQy33z4iYuLg7+/P/r3748aNWrAxsYGc+bMQXBwMI4cOaLv5hEREZHKfPPh5/bt2/jw4QMcHR2VadmyZYOtrS0uXryox5YRERGRGmlERPTdiH/jyJEj6NevH65evQpzc3Nl+oABAxATE4Nly5b9o+e7fPkyRASmpqY60zUaDd6+eYv4+IQv0u4vydTUBDlz58TnvJWs479lCDUAhlGHIdQAsA41MYQaAMOoI60a4uPjodFoUL58+b9d3+S/bNzXEB0dDQAwMzPTmZ4pUyaEh4f/4+fTaDQ6/08pZ+6c6Wjh15NWm9PCOv57hlADYBh1GEINAOtQE0OoATCMOlLWoNFoPrumbz78JB/tiYuL0znyExsbCwsLi3/8fOXKlftibSMiIiL1+eb7/BQoUAAAEBoaqjM9NDQU+fPn10eTiIiISMW++fBjY2ODLFmyICAgQJkWERGBW7duwd7eXo8tIyIiIjX65k97mZmZwd3dHTNnzkSuXLnw/fffY8aMGbCysoKrq6u+m0dEREQq882HHwDo378/EhIS4O3tjZiYGNjb28PPzy/VFVtERERE3/yl7kRERET/xDff54eIiIjon2D4ISIiIqPC8ENERERGheGHiIiIjArDDxERERkVhh8iIiIyKgw/REREZFQYfoiIiMioMPwQERmJc+fO6bsJRKrA8ENE9Dc2btyo7yb8a5MmTcKePXuQclB/DvBPxoq3t/gCRAQajUbfzfjXDKUOQ8b36Ou7dOkS2rdvj1atWmHSpEn6bk663b9/H4ULF4apqSnu3buH4sWL67tJ6WZon4NvtZ7kdifHCI1GA61WiwwZ1H9cRf0tVDmtVqtstE+ePMH9+/dx69YtPbfqn0tZR2hoKMLCwvTcovTRarU6jxMSEvTUkn8neWdy+/Zt/Prrr9iyZQsAfFM7yI/fi2Tf2u+t0qVLY/bs2di/fz9Gjx79zbU/WbFixWBqaordu3dj4MCB2L9/vzLvW6op5b7q7du3em7NvxMVFQXgf5/rb/V90Gq1iImJAYBvIvgABnJXd30REeWNXrhwIU6cOIHQ0FDExcWhVq1a8PT0RKFChfTcyr927tw5lC9fHpkyZQIALFiwAL///jtCQ0PRpUsXNGnSBHnz5tVzKz9Pyl8c69evx9WrV/H06VMsXrwYuXLl0nPrPl/yr6nDhw9j0qRJyJw5M6ytrVGrVi3kyZNHZxm1Svle7NmzBw8ePMC7d+8wYcIEVbf7Y1qtFmZmZmjQoAG0Wi2GDx+OHDlyYMiQId/MTv7jbaVo0aLInj07tmzZggwZMqBBgwbKr/dv4b1Jft2XL1+OkydPwtLSEr169UKpUqVgamqq59Z9vjNnzmDTpk0QETRu3BjVqlWDpaXlN/E+pPx8r1u3DmfPnsXDhw/xww8/oHPnzjrfKWr1bXx6VSp5A120aBHWrVuHgQMHYseOHWjQoAG2b9+O6OhoPbfwr+3YsQNdunRRfgEuX74cGzZsQL169eDi4oIZM2bA398fISEhem7p50n+ME6fPh0LFixA9uzZ4ezsjIwZM+q5ZZ8vecd38eJFjB49GkOHDsX27dsxfvx4ZMqUCWfOnMGHDx9Uv3NMfi+mTZuGadOmISgoCBYWFsov3W/Bxz9ujh8/DhMTE/j5+WH8+PH6bdxnSkxMVLaV6OhoxMbGomzZshg9ejSApC+ugwcPAvi2jiquXr0aK1asgK2tLR4+fIgBAwbg5MmTiIuL03fTPsvhw4fRs2dPmJmZ4fnz55gxYwZ27dqlfLbVfgQo+XMxa9YsLFu2DBUrVsTYsWNx+fJlzJo169s4IieULgkJCSIiEhkZKR4eHnLo0CERETl69KhUrFhRdu7cKefPn5ft27frs5l/y9fXV0qVKiUbN24ULy8vOXv2rDJv69atYm1tLVOmTJHg4GA9tvLzHTt2TFxcXOTevXsiIvL69Ws5ffq0jBo1SrZv367KOp4+fSq3bt3Smebn5yejR48WEZGIiAiZP3++NGrUSKytraVhw4by5s0bfTT1H9m5c6c4Ozsr78WbN2/k5s2bsnTpUrl+/brExsbquYWfZ8WKFVKpUiU5deqUnDp1SjZu3Ch2dnYycuRIfTftk54/f67zePny5dK9e3dxc3NTPuNBQUHi7u4ubdu2lQMHDuijmZ8tMTFR5/HUqVOVfa6ISLt27cTJyUmOHTum+u3q+vXr4uzsLDt37hQRkVevXomNjY3Ur19f1q9fL1FRUSKSuma1CQoKknr16sm5c+dEROTs2bNiZ2cnhw4dkj/++EPZ12q1Wn0285N45OcfCAoKwvLlywEAGTNmREJCAuLi4nDjxg3kyZMHZ8+exbBhwzBo0CC4ubnh5s2bWLZsGd68efPJ/g/6NmLECPz888+YMGEC9u3bh/j4eGVecgfPNWvWYPXq1Xj58qUeW/p5tFotihYtily5cuHChQvw8vLCqFGjEBAQgIkTJ+LixYv6bmIqjx49wqJFi/D48WPcvn0bIoLw8HAcOXIEa9euRcOGDXHq1ClUqlQJO3fuREhICPbu3avvZv+t8PBwVKtWDcWKFcPly5fh4+OD7t27Y+nSpejatSuePn2q7yb+rcTERFy7dg3t27eHs7MznJ2d8fPPP2PhwoU4dOgQJk6ciMTERH03U8f8+fNRs2ZN/PnnnwCAOXPmYMWKFbCysoKJiQl69eqFffv2wcbGBqNHj4aZmRk2btyInTt36rnlaZMUR+A2bNiAadOm4dSpUzAzM1OW2bBhA3744QeMGzcOZ86cUfURoPv376NIkSJwc3PD69evMW7cOLi7u+P//u//sGDBAuzduxdhYWGqO6368XdYVFQU4uPjUblyZRw7dgy9e/fGsGHDUK9ePSxevBgrVqwAoN4jiup6dVXO0tISCxcuxPDhw7FgwQIcPHgQJiYmKF++PFavXo1+/fph5MiRaNeuHQAgLi4OOXLkQK5cuVS1IX+8EY8aNQoDBgxAQkIC7t+/r7PjaNWqFSZPnoxVq1bh119//dpN/UuSxqHhuLg43Lx5Ez169EDHjh2RLVs2eHl54ddff0Xp0qVx8+ZNPbT0r8XGxuLRo0cYMmQImjVrhgcPHqBv376wtrbG1q1bUb16dUyaNAmjR4+Gra0tbGxsUKBAAX03W0da78W7d+9w4MAB9OvXD+3bt0dcXByGDBmCy5cvw9TUFOfPn9dDS/+Z+Ph43LlzB69fv1amabVaODk5oVWrVti4cSNGjhypxxam1qRJE1SuXBndu3fHhQsX8PTpU/j5+WHixInYunUrmjRpgtGjR2Pv3r2wsbHBqFGjEB4ejqtXr+q76amk7FQ7Y8YMzJ07FwEBAbh//z7Wr1+vc2HGhg0bUKRIEfTq1QvXrl3TV5P/1oMHD6DRaPDhwwfs3LkT2bNnR9++fTFlyhS8f/8eS5Ysga+vr6pCdcoAunr1ahw+fBjZsmWDhYUF5syZg2HDhsHLywvt2rVDfHw8EhISEBsbq+dW/zV2eP4HrKysMHv2bAwcOBAJCQn4/fffkS1bNpQuXRrz58+Hq6sr6tevDyApFQcGBqJYsWKqSr4pO6r98ccfCA4OxnfffYfOnTsjKioKs2bNQtasWdG0aVOl82DLli2RK1cuVKtWTZ9N15Gyjvfv3yMyMhIFChRAgwYNkDFjRty7dw/9+/dH5cqVYWpqioSEBGi1Wnz33Xd6bnlqtWrVwpUrV7BixQrY2NggKioKpqamWLduHT58+AALCwtkyJAB0dHR8PPzw8OHD2Fra6vvZitSvhfBwcGIi4tD4cKFMXDgQLx//x7h4eGYNm0aqlevjuzZs+P9+/coUKAA8ufPr+eW60rrEl1zc3M0bNgQBw8exLlz5+Do6KgskzdvXlSsWBGvX79W1eW9RYoUUcKyp6cncuTIgV69einzJ06cCAAYM2YMNBoNGjdujEWLFuH777/XV5M/Kfk1DQkJQWRkJNauXYsSJUpg/fr12LVrFyZNmoQxY8YoFzSsW7cOEyZMQLly5fTZ7FTi4+MRFxeHzJkzo0ePHjh//jzev3+PU6dOoXHjxrC0tMSDBw9ga2sLZ2dntGjRQjV9FSVFB+x9+/bB398fS5YsgaWlJXLkyIEVK1agU6dOaNOmDQAowU6N21NKHOfnHzp48CBGjx4NrVaL2rVrY9asWQAAHx8f7Ny5EzY2NsidOzdCQ0OVZG9qaqq6HvwzZszAL7/8Aq1Wi2LFimHw4MGwtbWFj48PNm7ciPHjx6NZs2aprp5ISEiAiYl+M3PK13LZsmU4efIk7t27h4IFC8LFxQVdunRB5syZ8eTJEzx8+BBarRZbtmzB8+fPsWvXLr23P1nKOhYuXIh3797hypUryJMnDzw8PODg4IDY2FgsXrwY+/btQ758+fDixQssWbIEJUuW1HPrk6T80k8+FfTq1Ss0aNBAp1Pw69evERkZidjYWMybNw8hISHYtm2banbwKevYt2+fcmqiRo0aCAkJwZgxY5A1a1Z06dIFzs7OCA8Px+DBg1GlShV07do11XPouwYAePbsGWbOnIlffvkFGzZsQIUKFXS2uXHjxmHLli1YuXIlnJ2dASSd5lPLe5Ls4MGDGDx4MIoUKYKFCxeiePHiEBGsWrUKe/fuRdGiRXUCUDK11HLixAns2LEDN27cwPDhw1GvXj1l+vDhw3H+/HloNBrMmzcPN27cwMyZM5E9e3Y9tzq1Q4cOYc2aNXB2dkbfvn0BABcvXoSXlxesrKxQuXJlfPfdd9i7dy/evn2LnTt3qmZfmya99DT6hnzc6ezly5fy4MEDOXTokNjZ2Unfvn2VeVu3bpXx48fL4MGDZeHChRIfHy8iovxfLbZv3y5OTk5y6dIliYyMlAcPHijzIiMjZcGCBVK6dGlZu3at6tqe0rx586RKlSqya9cuefHihTRv3lycnJzk9u3botVqZfv27eLs7CwNGzaUHj16SFxcnIj8r7O6GgQEBMiYMWOUx/v37xc3Nzfx9PSUwMBAEREJDQ2VRYsWydatW+XJkyf6aupfmjFjhjg4OMiKFSvE399fbGxsZNq0aSIiEhsbK9OmTZNy5cpJ/fr1xd3dXVXvRcoOmb6+vuLg4CCurq7i7OwsY8eOlaioKDl//ry4u7tL+fLlpW7dutKoUSNp0qSJUoe+O3Wm3E89ePBArl69Km/evJFHjx6Jh4eH8rkQ0W3r8uXLVfcZ//i1fPLkiQwYMEBsbW11LsgQEVm1apU0b95cOnfuLOHh4V+zmZ/l6NGjUrp0aZk4caIsW7ZM7t69q8x79OiRODg4SJs2baRPnz5SoUKFVBc+qMWbN29k3LhxYmdnJ3369NGZFxAQIEOHDpUqVapI27ZtZeDAgar6fH8Kw89fSLlDOXnypGzfvl3ZeGNiYmTXrl1iZ2cn/fr1U5aLiIjQeQ59v/nTpk2TV69eicj/dipjx47V+cJN9ttvv8nUqVMlPj5evLy8xN3dXe879bRotVp5+fKlNGvWTH799VcRSfoA2tnZycGDB+XixYsSEBAgIklXJAQHByvvpZp29AkJCbJq1SpxcHCQIUOGKNMPHDigBKCAgAD5/fff9b4d/ZUzZ85IrVq15I8//hARkVOnTomtra3Y2NiIt7e3stzx48fl+vXrqnwvRERWrlwpVapUUULn0KFDpUKFCjJu3DiJjIyUN2/eyPHjx2X58uWyb98+1fy4SfkZnT17ttSrV0/KlSsngwcPlidPnsiTJ0/E3d39kwFIRP81JEu5z33//r3y79DQUOnatas4ODjI1atXddZZuHCheHl5qe7qqJcvX0rjxo1l06ZNIiLy4cMHOXv2rIwePVomTZokJ0+elKNHj0rv3r3Fy8tL7ty5o+cW/09ar+Xjx49l8uTJYm1tLcuWLdOZFxsbK+/evdN5z9SyTX0Kw88npNw5TJ8+XSpWrCiVKlWSn376Sfbs2SNarVZiYmJk9+7dYmdnJx4eHtKzZ0/ZunWrHlut6+7du9KuXTslhScbMGCAdO/eXflCTd7QFyxYIE5OTkqAS56uhgD08Yfx8ePH4uLiIomJifL777+LnZ2drF+/XkREhgwZIh4eHn/7HGoQEREha9eulZo1a8rgwYOV6QcOHJCmTZuKs7OzWFtby6NHj/TYSl0fv45bt26Vli1bikhS2OzatausX79ejhw5ItbW1jJt2rRU7VdTmNNqtfL+/Xvp2LGjbNmyRUSSLkeuW7eu9OvXT1xcXGT8+PFpDpOgpjpWr14tVapUkTNnzsijR4+UECcicu/ePfH09JRq1arJjRs39NjKT0u5Xa1atUo6dOggAwcOlMOHD4tI0iXhHh4eUqlSJbl27ZrOusn7KDV9xt+8eSMdOnSQw4cPy/Pnz6VXr17SoEEDadSokTg6OsrAgQOVZdV0eX7K1/D48eOyfv16CQoKEhGRkJAQmTRpkjg6Ooqfn5+y3MdBRw3fGX9HHT30VCblwGCLFi3Crl27MG/ePPz+++9wdHTEtGnTsH//fmTKlAn169eHj48PPnz4gLdv36JZs2b6bXwKxYsXx/r162FqaooDBw7g+fPnAIASJUrgxo0buHjxIhISEpR+AhUqVEChQoWUW0JkyJBB52oLfUlMTNTppA0AOXPmRGJiIoYNG4YhQ4bAy8sL7du3V+alNdKrWjqk3rt3T/l31qxZ4ebmhg4dOuDq1asYMmQIAKBBgwYYO3YsRo4ciSNHjuCHH37QV3N1SIqrPlauXIlff/0VefLkQbZs2ZRL8IsWLQpXV1f8+OOPMDExgb+/P/z9/XWeRw19MZJpNBrEx8cjLCwMmTJlwosXL7Bu3To0b94c8+fPR+nSpbF9+3Z4eHjg/v37OuuqoQ4RQVxcHM6fPw93d3dUqVIFP/zwAypUqAAAOHr0KK5evQpvb29ky5YNCxcu1HOL05ZyYMxFixahSJEiuH//PpYuXYq9e/ciT548mD59OkqWLIlevXrh8uXLyrrJAwOq5TMOJF15+u7dOyxYsAA1a9ZEZGQkOnfujH379mHw4MF49OgRIiMjAUDnsn19SvkazpgxA8OHD8f8+fPRsmVLbNmyBbly5UL37t3RsGFD+Pv7Y9WqVQCQqm+Pvr8zPot+s5e6HDlyRPl3QkKCvH79Wtq0aaP88ggMDBQXFxfp0KGDlCpVSvbu3auk5Li4OCXtquFwX8rk/fr1a7G1tZUuXbrIu3fvRESkffv2UqNGDfntt9/k5cuX8u7dO/Hw8BBPT0/VpPaUv1xFkvoq1a5dW2JjYyUhIUFmz54tFStW1PkFJZI04NmkSZO+ZlM/25MnT6Rq1aoyYsQInenh4eGyfPlyqVixoowbN04/jfsbKbeLw4cPi5OTk/zxxx8SEREhjx8/llevXkmTJk3k999/F5Gkow2DBw+Wq1evquoIyaeODvj5+cm1a9dk37590q9fP7l06ZKIJA2o9/PPP8vs2bNVU0fye5H8/7i4OHFzcxNfX19lmeS29u3bV9q2bSsiSaeP1FJDWnbu3Ck1atSQ69evi4jItm3bxMbGRlq1aiW7du0SkaT9mZubm3Tv3l2PLU1baGiocqpRJGkA061bt8qBAwd0Pj/jx4+XPn36SExMjL6a+pcWLVokjo6Ocvr0aRER6dixo7i4uMjWrVtFq9VKcHCwTJkyRaytrWXfvn16bm36qLgr9te1ceNGzJ8/Hw8fPkSPHj2QMWNGvH79Grdv30bhwoUREhKCDRs2oG3btujRowfatWunDNv/888/K/fw0mq1qujhnpy89+zZg6xZs2LTpk3o2bMnhgwZghkzZsDPzw+9e/fGuHHjkJCQACsrK4gItm7dqor7/MyfPx8HDx5E//790aBBAwBJVwxlz55d+ZXUpEkTPH/+HOfOncOQIUOQN29e3LhxAxEREfDy8tJb2/+KpaUlWrdujV27dmHcuHGYMGECACBbtmxo0aIFtmzZgs2bNyMmJga+vr56bq2u5O1h69at2LdvH9q2bQs7OzsASUew/vjjD7x8+RJZsmQBkPTLMT4+HqVLl4ZGo1HF1Tcpr4gKDAzEhw8fEBYWhrp168LDwwMAsHTpUuTNmxfly5cHkDQIpaurKzp37gxA/1cRpawh+d+mpqYoUqQIzp07h7CwMOTKlUtpo6OjI06cOAGtVqvcp0/fNXzKrVu3UKlSJZQqVQrXrl3D9u3b0a9fP5w/fx5LlixBxowZ0bhxY6xduxaWlpb6bq6OX3/9FXPnzsWHDx/w6tUrVK9eHZ06dUKrVq0QFhaGw4cPIzIyEg8ePMCePXuwceNGVdz/Kjw8XLm6LCEhAe/evcOJEyfg7e0NJycnXLt2DU+ePIGVlZWyv3Jzc0O3bt1QoEABZXiXb43+v6VVwtnZGbdv38a+ffsAAD169IC1tTV+/vlnaLVa/Prrr9BoNHB2doaIIGvWrDAzM8OzZ890xjNQ02HXd+/eYcuWLShWrBgmTZqEhQsXomfPnhg+fDhmzZoFPz8/nDlzBq9evYKlpSVq1aqljFyt7wBXo0YNXLp0CRs3bkRCQgKaNGkCMzMz5MiRQ1mmWLFi6NWrF+zs7LBt2za8f/8eJUqUwKhRo2BiYqKKHXxyiAwLC4OZmRly586Nzp07w8zMDOvXrwcAZYeSJUsWVKhQAX379oWDg4M+m60jZRCOjY3Fn3/+icuXLyNnzpzKMlqtFtmzZ0fBggUxcOBAZM6cGRYWFti2bZsSpvX9XgD/+3zOnj0bhw8fhoWFBV6+fIkVK1bA09MTTZs2BQBcvnwZO3bswO7duxEZGQl3d3cA0HsdKYPPmjVrEBgYiPfv36Nz584YNmwYWrVqhREjRmDixInIkSMHTExMcPToUVhZWensm9TwXqSUmJgIEUFYWBjy5s2LN2/eYM+ePahYsSJ69+6NUqVKoUePHhg/fjxevHgBT09PAPofXiDZ+fPnMWLECPTt2xdlypTBo0ePsHXrVmVcuMKFC2PFihWIjY1Fjhw5sHHjRtjY2Oi72YiNjcX27dvh5OQEGxsbSFI/YDx69AiFCxfGixcvsGbNGnTo0AEeHh5o164dFixYgGvXrqFfv36q+UGQLvo65KQmyYcjnz17Jt7e3tKwYUNZsmSJiCR1RIuLi5OWLVsqPdyjoqKkR48ecu7cOVV1tEurDSdOnBBbW1s5deqUiIhcvnxZHBwcpFu3bvL69etUy6vhkHjya3rr1i3p0KGDtGnTRo4fPy7bt2+XSpUqybZt2+TKlSsSGRn5yedQ06nHX3/9Vdq0aSN169aV+fPny8uXLyU6OlqWLVsmzs7OMmLECLl165ZMnz5dGjduLKGhoXpu+f+kPFR/+vRpefv2rbx9+1amTp0q1tbWypUsyc6dOyfbtm2TNWvWqOZqqI+tWbNGKleurFw1tHPnTrG2tpaLFy9KdHS03L59Wxo1aqScWlHjZbuzZ88WR0dHWbx4sUyaNEmOHz8uIkmnimvVqiXVq1cXNzc3ad26tTRq1Eg1l+Qn+9T+8t69e3LlyhW5fPmytG7dWjntcuDAAXF3d5ddu3ap6n1Ifj29vb1l7NixOvNOnz4tbm5uypWcL1++lMjIyL/cb31tDx8+lMqVK4uXl5d4eXmJj4+PiIhMnjxZgoKCZP369cqpaxGRXr16Sa1atcTb21sV33n/htGHn4/Dy5MnT2T06NFSv359ncv52rZtK7169ZI//vhDunXrJs2bN091tZRa/PLLL/LgwQPlfPLYsWOlb9++EhISIiIiV65cEUdHR2nTpk2aAUifPu7LcP36dXF3d5du3bpJx44d5aeffhInJydxcHCQypUrS7t27aR///5y4cKFVM+hBqdPn5YyZcqIj4+PeHl5Sfny5cXLy0uePXsm0dHRsmrVKqlcubI4OTlJjRo1VHUlTsrt+sKFC9K8eXPx8fFRduATJ04Ua2tr2bFjxyefQw1fVB9ftThy5Ejlx82BAwekQoUKsnnzZrl8+bJMnjxZRJICW2hoqKr68SW7e/eu1KtXT06ePJlqXmBgoMTGxsq6detkwYIFqgyhKberPXv2yLx588TT01MOHTqkXFG3cOFCadWqlbJcr169xMfHR3k/1LBdJUtISJCWLVvK9OnTRUT3yq3169dLqVKl5MWLF/pq3iclvw9nz56VChUqyE8//SR79+4VkaShXLRarbRt21aWL18uIkl1eXp6ytGjR1X1oz+99H+8UI9SXskkIoiOjkahQoXQr18/VKhQAbt378ayZcsAAA0bNsSdO3cwaNAgxMTEYPPmzciYMaPOlUhqcOPGDQwYMAADBw7E0qVLERERgebNm+P58+fKjSTLli2L+fPnI2vWrDqnLvQt5fsRExODuLg4lCpVCsOGDUNMTAyuXbuGmjVr4pdffsGqVavQqVMnFC5cGBEREUr/DEA9VxqEhYXh0qVLGDRoEEaNGoWpU6dizJgxOHXqFBYuXIhXr16hc+fO2L17N2bOnIktW7aoZuRm+eiqLn9/fzx48ABbt27FokWLoNVqMXjwYLRr1w6jRo3Crl270nwefR8KT1nH3bt3ASR9RiwsLHDt2jWMHj0aQ4YMQZs2bZCYmIh169bh+vXrMDExQd68eaHRaFTTjy/ZmzdvEBYWhmLFigH43736goODMWrUKJw4cQLu7u7o27cvOnbsqJwCVksNye/H9OnTMXfuXDx58gQ5cuTAwIEDsWjRIgCAtbU1rl27hp49e6JZs2Z4+vQphg8frqpTqMkyZsyIAgUK4NSpU4iKioKZmZlyf8TvvvsOhQoVgoWFhZ5bqSvl5+LBgwfInDkzcuTIgVOnTuH69evIlCkTNBoNEhISEBAQgKtXr6JXr14IDQ2Fi4uL8rlQ03ffP6bX6KVHKY8O+Pv7y8CBA6VBgwayYMECuXv3rkRGRoq3t7fUrVtX1q1bJyIib9++laCgIFUN0vbx+BDBwcHSo0cPqVGjhvTt21dq1qwp165dEw8PD+WKj4+pIb1/PMZHnz59xN3dXRnxNCgoSNzd3aVGjRpy9OjRNJ9DLb8GtVqtPHjwQGxtbaVKlSqyYcMGnfk7duwQJycn8fb2VsbPUKulS5dKxYoVZf/+/XL+/HmZMGGCtGzZUnx8fCQiIkIiIyNl0qRJYm1trZx6UYuU29SMGTOkZcuW8ubNG1m0aJG4uLhIyZIldY5aHT9+XBo0aKAcIVWDtI5i3rt3TxwdHVONKRYWFia1atVKtb2p0ZEjR8TJyUlu3rwpIiLXrl0Ta2trOXXqlDx69EgiIyNl06ZNMnjwYGXgVRH1fMavXr0qBw4cUAZZPXPmjLi6usrgwYMlOjpaWW7KlCnSrl07VZ3qSvm5mD59urRu3VpevHghp06dkqpVq8qgQYOU01zbt2+XGjVqiIuLi+pGZv+3jDL8pHzz586dK5UqVZIZM2aIl5eX1KlTR9q0aSOBgYESHh4uY8aMkYYNG8qcOXM++Rz6kPKyfJGk/krJG+bJkyelVKlSsmfPHpk7d664uLhIv379pHTp0rJt2zZ9NPez+fr6SoUKFWTIkCHSpk0bqVy5sly5ckVEkvoAdezYUdzd3VU1mGRKKb+s5syZI9bW1uLt7S1v3rzRWW7Xrl1SsmRJmTRpkqoGOEum1WolMjJS2rVrpwwemWz58uXi6uoqvr6+EhkZKeHh4eLv76+KHwNpOXnypPTs2VMZGC8gIECaNWsmTZs2lcuXL4tI0oB0np6e0q1bN9WcNk25j4mPj1dGz42JiZHu3btLu3btlGEFRJJ+CP3888+ye/fur93Uv/Xx/nL9+vXSv39/ERHZt2+fMkhpaGiotGnTRnmvUm5Tatm+Dh8+LHZ2dlK5cmVxdHRUhhdYu3at1KlTR+rWrSsjR46U3r17S/ny5VX7A+fatWvSu3dvuXHjhrLNHz16VKpWrSqDBw+We/fuiYjI8+fP5cWLF6r60f8lGGX4Sfb06VMZPny4zi/W06dPS5cuXcTDw0PCw8Pl6dOn0q9fPxk6dKhqdoobNmyQSpUqKX2Sdu3aJdWrV5cpU6YovzDmzJkjnp6eEh8fL7/99pt4eXmJtbW1TJgwQZ9N/0vJ9+JK3lns2bNHrK2tpVKlSnLx4kUREbl586Y0atQoVedCffvUtrFgwQJlOPi3b9/qzNu7d688fPjwv29cOkVFRUmDBg1kzZo1IiI6I4X36NFD7OzsZNq0aTr3VFLbjjEgIEDKly8vNWrUUHbmIiIHDx6Utm3bSvny5cXV1VUaNWokzZo1U2rU94+bj4+E9u/fX2rWrCmjRo2SCxcuSEhIiLi5uUmLFi1kypQpsmfPHunUqZM0adJEdb/KU342Dhw4IGFhYbJo0SJp2bKlHD9+XMqXL68crYqKipJKlSqlCtxqER0dLR4eHrJjxw65e/euLFmyRKpWraoEoIsXL8qwYcOkW7duMnHiRJ1tTk1+++03sba2llq1aunc21EkKQA5OztLp06dpEGDBjJlyhRlnr4/F1+SOk4C68GxY8fQp08fWFpaolGjRsp0JycnJCQkYPDgwbhx4waqVKkCb29v5MmTRxXj3wBAlSpVlMvyzczM0LZtWzx8+BBnzpxB/fr1MXbsWPz44494+fIljh8/jtq1a6NMmTJo1qyZMuqrGt25cweNGjWCjY0Nrl+/jo0bN2L06NG4ePEiBgwYgIULF6JcuXJYsmQJChQooO/mKpK3iXPnzuHQoUMIDg5Gjhw50LdvX/Tt2xcajQazZ88GALRu3Vq5XL9x48Z6bPXfs7CwQM6cOfH777+jY8eOMDU1VYZB+PHHH/H48WMEBgZiz5496NChA0RE7/1KPv585s6dGy1atMD69etx/vx5pZ9M/fr1UaxYMdy/f1+5rLdevXqqGeohuS/FnDlzsHnzZrRv3x5WVla4cuUKhgwZggkTJmDFihVYsWIFjh8/juvXryNv3rxYsWKF0hdRDf1iUr4fq1evxsqVK7F06VI4ODhgz5496NWrF0aMGIF27doBACIiIpAjRw5l3DQ1efbsGV6+fAkzMzOUL18eRYoUQa5cuaDRaLB+/XokJCRg9OjRqFixour6w3z8ubC1tUXr1q2xfft2XL9+HUWLFlXaXLt2bWTMmBF79+5Fjhw5MHToUGU9NdX0r+kzeelTYmKicpO25Mt1U/5icnV1FX9//1Tr6FvyL9PXr1/LuHHjpH79+sqprHfv3smYMWOkWbNmMmjQIKlRo4Z4enqmeg41/DpP67UcPHiwDBo0SN69eyfjxo2T2bNny/v372X//v1ibW2d6soiNfzCTa7j6NGjYmdnJyNGjJBBgwaJq6urODo6ym+//SYiSUfiSpYsKfPmzVNG2Vaz5LquXLki5cqVk2HDhkliYqLExcVJYmKi9OjRQzZt2iReXl46dzfXp5RtiIqKUv6d/LmwtraWPXv2/OVzqGGbSnbt2jVp2LChcmpOJKnvm5eXl7i6uio3woyNjdXpU6KGz/fHdu/eLYMHD1ZO18fGxsqkSZOkdu3aMmHCBHn06JFcvnxZPD09pVWrVqp6H0REDh06JE5OTlKrVi2xtraW8+fPK/PevHkjy5YtS3V/PrVIua9Nue+JiIiQwYMHS5kyZZQrBz91Y1k1blP/ltGGH5GkHd2oUaOkfPnyOpdKv337Vho1aiSHDh3SY+tSS3n4eNeuXTJo0CApVaqU2Nvb69xk7tixY7JkyRKpVKmSWFtby6pVq/TQ2k9L+QFL3um9fftWHj58KHfv3pWbN29Kx44dlR3M0aNHxcvLS9atW6eKD+Hu3bt17iz98uVLadSokaxdu1aZFhsbK126dBFnZ2d5+fKliCSNneHg4CBhYWFfvc3pFRMTI3v27BF7e3tp1KiReHh4SIsWLaR27doiknQH9yZNmig3w9WHs2fP6oQdPz8/6d27t7Rr105mz54tISEhEh8fL97e3jrD8Wu1WtWcyk7L2bNnxcXFRZ48eaITBq5fvy7Ozs5pdmxWYz2PHj2S5s2bi7W1tU5fvffv34uvr6/Uq1dPrK2tpWHDhqrsVHv37l2pX7++LF26VHbt2iX169cXNzc3uXfvnvJ6v3nzRubOnSuNGjVS1ThdKfe1K1eulDZt2ki3bt1k586dIiISGRkpgwYNkrJlyypjwX28Dalxm/oSjDr8iCS9scOHD5dy5crJtGnTxM/PT7p37y5NmzZVxRdtWubPny/29vaydetW2bZtm3h6ekqTJk1kwYIFyjJarVaCgoJkypQpqqoj5Qdp9uzZUq9ePSlfvrwMHjxYuR/O4sWLxcXFRVmue/fuMmbMGOWxvurRarUSHh4u1tbW0rZtW+VKlXv37omLi4vcvXtXRP63037//r3UrFlTp+0fd3z+Vjx79kymTp0qU6dOlQULFig1jhs3Trp27apzhcvXtGjRInFwcJDt27eLSFJn7PLly8uCBQtkwIAB4ubmJjVr1pTnz59LbGysjBkzRmxsbFTXYT6tI6GHDh0SW1tbpV9Yyo7xzZo1k5kzZ36t5v0jH9eSkJAgp0+fliZNmkiDBg3kw4cPyry4uDgJCwuTs2fPyv3791XXqTYoKEhmzZolXl5eyrTnz5+Lq6uruLm5yd27d5V9WlhYmGp/2Pj6+krFihXF19dX2rRpI40aNVLC8/v372XQoEFSvnx5OXbsmJ5b+vUYffgRSfpSSz4s3qZNG1m4cKHqPoQiSe0MDQ2V1q1b69xM7sWLFzJr1ixp0KCBzhGglNRUh4jI6tWrpUqVKnLmzBl59OiRchNJkaSjWo0aNZKOHTtKmzZtpEmTJqpof/JO7uHDh1KlShVp37693Lp1S27duiWOjo46RwoTExMlMTFRunbtKsOGDUv1HN+yq1evytGjR2XChAlSoUIFvV7NknzlU4MGDWTt2rXi4eGhcwXUxYsXpUOHDtK8eXMJDw+X0NBQGTx4sLRp00ZE1PF+pAwLL168UI4Uiog0b95cGjVqpPOl+u7dO2nevPlfDi6pLylr2bdvnyxevFhmz54tb968kZMnT0qtWrWkWbNmynJpHd1RQ/cCkaRtY8SIEVK2bFlxdXXVCZ9Pnz4VV1dXadWqldy+fVsV21FKKduzZ88ecXFxUX6sHThwQKytraVZs2ZKx/LIyEjp0qWLdOrUSR/N1QsD6r2UfhqNBmPHjkX79u1x584d/Pjjj8iQIYMqOnCmpNFokClTJoSEhODNmzfK9AIFCqBTp04wNzfHihUrMGfOnFTrqqUOEUFsbCzOnz8Pd3d3VKlSBT/88IMySOHx48cRGRmJOnXq4LvvvoONjQ127NihDNSmb3FxcShSpAj8/f1x8+ZNLFmyBC9evEDu3Lmxf/9+3LlzB0BSx8AMGTIgU6ZMyr3fRAWd5f+NxMRExMTEYNWqVZg9ezbu37+P9evX6+0eRQkJCciUKRMWLlwIKysrrFmzBjdv3tQZuLN8+fLo3Lkz3r9/j7t37yJv3rwYOXIkNm7cCEAdA2ImdyKdN28eOnTogA4dOmDIkCEAgOHDhyMhIQGtWrXCgQMHsHPnTgwdOhRarRZNmjTRZ7PTlHIAQ19fX1y/fh2BgYG4desWqlSpggkTJuDDhw9o0aIFtFqt0jk7refQN41Gg4kTJ6JNmzb48OED5s+fj/fv3wMAChYsCH9/fzx9+hQ+Pj6Ij4/Xc2uTPHz4ECEhIdBoNMpAi3fu3EGpUqVga2uLa9euYf369Rg6dCisrKywYsUKbN68GVmyZMGyZcvg7++v5wq+HnV8I6qAiYkJRo8ejaioKIwdOxaxsbFo3Lixam5imCz5Duy3bt1S7t4MJF3VUrJkScTExCAiIkK1X7QajQYZMmTAq1evEBERoUxPvjpl69atiI2NxYoVK3RqV8MVOABgZmaGgwcP4vLly7CyssKRI0dgamqKpk2bYu7cuUhMTISrqyt+/PFHHDp0CBcvXlSullDD+/Gpq1D+bnuR/z+qbsaMGTF8+HCYm5vDwsIC5ubm/2Vz/1JyIDYzM8OSJUswdOhQHDlyBJcvX8ZPP/0EMzMzZMiQAU5OTggPD8eNGzdQoUIF5MmTB4D+b4qZ8jVfu3YtNm7ciAEDBuDZs2fYsWMHevbsiaVLl2LGjBlYsGABxowZgx9++AEFCxbE1q1bVXPz3o8dP34chw4dwsqVK1MF40KFCmH06NGYPHkyXFxccPz4cdW1/86dO3j69CkyZ84MR0dHDBkyBNHR0Thx4gRMTU3RvXt3WFpa4vvvv8eOHTuQkJAAMzMzfTcbQNJrf+HCBSxcuBBXr16Fvb09wsPDkSdPHrx58wb79u2DnZ0dunXrhooVK6Jt27aYOXMmXrx4gcGDBwPQ/+fia9H/t4lKJL/hU6dORUJCAmbOnInatWsjS5Ysem0PAJw4cQIvX75EuXLlYG1tDU9PT/Tq1Qt58uRBx44dkT9/fkRHRyM0NBRubm7o2rWrai7LT4upqSny58+P8+fPKwEueQfo7OyM48eP6+xQ1HIETqPRIDAwEKNHj4aXlxfq1KkDrVaLIUOGwNzcHAMHDsThw4cxffp0ZM6cGVmyZMGaNWtQtGhRfTcdgO429eTJE4SFhSFz5swoUKAAsmTJ8skv0pTb0apVq3Ds2DHMnz9fr8EnWfKRAzMzM8ycORP9+vXDvn37ULhwYdSqVQsAEB0djQIFCiB//vw66+p7B5/8mp4/fx5Pnz7FpEmT4Orqiri4OJQtWxZjx45VAtCyZcvw6NEj5MuXDxYWFsqtB9TwufhYcHAwcubMie+//17ZdrRaLU6dOoUlS5Zg5cqV8Pb2xo4dO5SjP2px+PBhjB07Fubm5ggJCcHAgQPRs2dPeHt7Y/Lkyfj111+RMWNGdOnSBZkzZ8Z3332n7ybrMDMzQ0hICOrWrYtnz57h9u3b6NGjB969e4eQkBBcvnwZAwYMAJB0+x17e3u0adMG9evXV55D35+Lr0ZPp9v+E2l1tEvpU+dlU07fsWOHXL16NdWAdPri6+sr5cqVE0dHR7G2tpbly5eLVquVXbt2ia2trbRp00Y6deokbdq0kQYNGih9Y9Ry3vxjya/18+fPxdnZWbp16yYvXryQqKgoiYuLk86dO+t0LlSbpUuXpjov/uTJE3F2dpZBgwbJ8ePH5f79+/LkyRPVbEMiqUeebtq0qVSqVEnc3NykWbNmOv1MPrXepk2bpGLFijr9zdQi+bMeGxsrHh4e0rBhQ5k4caKsXr1aunXrJg0bNlTN1UMpX9OLFy9Kq1atpGzZsjqXT8fExMgvv/wilSpVEg8Pj1TPocbPd3JdCxYskFq1ail9ZJLbGhoaKj/99JP88ccfOu1Xy/ty/PhxKVu2rKxfv16ePXsmM2bMUPa5Iknb1rhx48TZ2VmWLl2qun4+yTw9PcXGxkbc3d11Lm338/OTJk2aiEjSe9KrVy8ZN26cKm8W+zUYTMRL+at227ZtmDp1Ktq3b48NGzbg+vXrANI+7SApftVu2bIFo0aNwqtXr5SB6L42EVH+fe7cORw+fBgrVqzA/v374enpiVmzZsHPzw/NmjXDpk2bUKVKFRQuXBg1a9bEnj17lEPhak3vyUekvvvuO8ydOxd//vknOnTogPbt28Pd3R2vX7/GxIkTAei+Fmrx8uVL5bw/AMTGxqJQoUKYNm0aDh48iLVr1yIuLg6FChXS2zaUluRtfMWKFdiyZQuGDh2Ks2fPws7ODkFBQXjy5InSRyD5dU/52di8eTNmzJgBHx8fnUFB1SLlEaAlS5agcOHC2LBhAw4fPozixYtj9+7dafYv+dpSvqYnTpzAxYsXUbVqVWTKlEnn5rCZMmWCi4sLJk6ciDNnzmDq1Kk6z6PGz3dyXU2bNsWbN28wZcoUAP9ra2RkJEqUKAELCwud9qvhyE9cXBx27tyJ7t27o3379rCwsMD58+dRrlw5zJ49G0uXLoWZmRlGjRqFRo0aoUGDBqo7qp6QkID379/j+++/R8+ePREbGwsvLy+8fPkSAFCiRAncuXMH7du3R9OmTfH06VOMHj1alTeL/Sr0l7v+G9OmTZOqVauKj4+P+Pr6SqlSpaRr165p/gr/+Fdt+fLlU90zS1/Wr18vy5Ytk1mzZulMT/lrJK17Qn1r6f3Dhw+ycuVKWbhwoaxZs0Y5cqWGq7vScvz4cbGxsUl1/6TTp09L48aNpVmzZvLixQs9tU7Xrl27lH9rtVp5//69eHh4KJd5nzhxQuzs7GTv3r1y9epVWbZsmbJNpfXZ+OWXX75q+9Mj5RGgNm3ayKRJk1Tzyzbl0Y6rV69Kw4YNxcPDQ7Zt2yYLFy6U6tWry8SJE3XWiYmJkfPnz+u97Z8r+bXeunWrlC5dWoYNGyZXr16Vq1evSq9eveTnn39W5VGryMhIqV69unL106RJk2Ts2LHK/R2tra1l3LhxEhwcrOeWfr7169dL8+bNpWfPnvL8+XMREfnll19k9OjRMnv2bNXva/9rBhV+Tp06JdWrV5cbN26ISNIIqSVLlpQTJ07I3bt3dcZYUfPOPSEhQbp06SLW1tbSs2fPVCFn1qxZYmtrK/PmzdPr4HL/1qd26Gre0UdHR8uYMWPE3t5eGSgsKipKZs2aJWPGjFHN3Zv37t2b6j5PUVFR0qxZM7ly5Yr8/vvvYmdnp4z1sWzZMnF1dZXXr1/rPM+mTZukQoUKqvlsfI6UASj532r6wvX19ZUOHTpInTp1pGTJksrNYxcuXCi1a9eWSZMmpbnet/Ql9f79ezl69Ki4uLiIk5OT1K1bV2cAQ7W8Hy9evJAnT57InTt3ZMuWLXLs2DE5ffq09O3bV7nn4/Tp06VatWri4uKihAg1S/mZX79+vbRo0UJ69uwpd+7ckWPHjqW6Ya6xMqjwc/DgQenYsaOI/O9OwevWrZN3795JmzZtlI055ZuvhuCT1o4gLi5ORowYIXZ2dnL06NFUgWD8+PHy888/q/a88z+h5rCTluRbi9jY2EidOnWkWbNmUqlSJSV0q0FsbKyyXSWPoZSQkCDNmzeXZs2aScWKFWXLli3K8rt27RI3NzedPgJ79uyR0qVLq+6z8TnbfMpbXajh1hvJtm3bJlWqVJFr167Jq1ev5Pnz59KhQwfp2bOnbNy4URYtWiSurq4yfPhwfTf1i4iMjJQbN27In3/+qbqx044ePSoNGzYUR0dHmTJlirx8+VISEhLE29tbunXrpiw3ZswY2bp1q84o4mqX8nOzfv16adq0qVhbW0uNGjVUEzz17ZsNP2ntAFetWiV16tSRY8eO6dwpWETExcVFFi1apLO82oLP8ePH5fDhw3Lu3DllWu/evcXe3l6OHz+eaqNNfg3UEIA+9YH6uw9ayrYHBwerZsf4d2JjYyUwMFBWrlwpu3fvVkanVps//vhDrK2tldG/z58/LzVq1JDWrVuLSFIdsbGx0rlzZxkwYIDyfsTHx8uyZcvkxIkTemt7ym3n5s2bcvbs2VR3oE5Lym3qyJEjEhgY+J+0Lz2mTp0q/fr1E5H/hYCXL1+Km5ubtG3bVjZv3izTpk2TAQMGfDOfhU9J67Ovlh86yZ2bN27cKGfOnFFOVQcHB8v8+fPFw8NDzp49K7NnzxYnJyfV3p39r6R8/a9fvy6HDx9Wtik1fGfo2zcZflK+qZGRkRISEiIiSRtuo0aNUt3PKiwsTBo2bCgHDhwQkaQ3/vr16+Lg4KDX4JNyA5w+fbpUrlxZ7O3tpWHDhjrt79Wrlzg4OMiJEyc+GYD0KWWbrl27JsePH5erV69KeHi4iHx6h5ey7atXr5Z27dp9s7d/UIuPA/GHDx9k2bJlUrJkSVm2bJnExMTI5s2bpUyZMtKkSRNlFO1GjRqluqeSPr+oUm4bM2fOFBcXF6lataq0bdtW7t+//1nrbdq0SaytrXV+TOhLcrv69+8vXbt2VaYnn9I+efKkWFtbS58+fWT37t3K8t/6r3Q17J8+lnxUffHixSKSdIpuy5Yt4u7uLo6OjuLq6iodOnSQatWqSZ06dZSRkb9FaW0/33qo/lLUN0jE30h5VdeyZctw7NgxhIeHY8SIEahWrRqaNWuGrVu34ty5cyhfvjzevn2LTZs2wczMDHXr1gWQdFVCqVKlsHHjRhQrVkxvtSRfLbBw4UJs374d8+fPR/78+TFu3Dj4+/tDRNClSxcsXrwYffv2RY8ePbB582bY2dmleg59Sn4/pk2bhsOHD+PDhw+wtLREnjx5MHv2bBQqVCjVGDLy0ZVECxcuxLhx45RBG+mfS/nZiIuLQ8aMGWFqaooePXoAAGbPng0TExN4eHigbNmyWLduHczNzZE/f354eHjAxMREZ+wYfV39kXJb2bRpE3bt2oV58+ahUKFCiIqKQpEiRQAkjd9jYWGhrPfxNjVr1izMnz8flStX/uo1fCy5XY0aNUL//v2xb98+NG7cWBnLKi4uDhUqVMCjR4+wd+9eNGrUSBklXN/+atC7v5onH13Z9tNPPyFfvnz/WTs/l4jg0aNHEBFcunQJkydPhkajQb58+dCxY0csXboUPXr0QOnSpZEzZ07kzZtX300GkL4R4jNkyKDzHmm1WlWODaUXegxe/8qsWbPE0dFR1q1bJ3v37lX6Kmi1WtmyZYu0aNFCuVNw165ddX7VqunX1JMnT6R58+Zy9uxZEUk6vF+1alXp3Lmz1KtXT7n6QCTpF7CaUnvKX3WHDx8WFxcXCQgIkOfPn8v+/fulbdu2Uq1aNXn27Nkn10s+9Xj48OGv1m5Dt2rVKunXr580bdpU+vTpI7dv3xaRpE7N1tbWsnTp0jTX0/cpiWnTpqWaNmTIkDQ7AO/cuVNWr14tIqnvzq6G09mfEhUVJaNGjZKKFSvK1q1bJTw8XIKDg6Vbt24yd+5cefDggVhbW8uZM2f03VQR0T1ysH//flm+fLmMHj1aDh48+Jed+9M6Aqem04979+6VcuXKiZ2dnfTs2VM5vXv79m1p0aLFZ51e/ZpSvg8hISESHx+vTPuro2sp5x04cEBOnz6tyqNx+vBNhp87d+5IgwYNJCAgQEREHj16JFu3bpVWrVrJ4MGDlQ332rVrEhISorqOdik9efJEqlWrJufPn5fHjx9L//79Zd26dRIcHCx169aVSpUqpRr0T211HDx4UCZMmCDe3t460y9evCgtWrSQ0aNHp3muWc1fUt+KGTNmyNWrV5XHM2fOFAcHB1m4cKGMHTtW2rRpI3Z2dnLx4kUREeUU2IwZM5R11LAzPHv2rLRp00anc3J0dLS0a9dOxo4dKyK6XwDJfTE+fPjwzW1Tb968EV9fX7G1tZWqVauKi4uLNG3aVKKiouTt27fi5uam15vFpmX69Oni7OwsXl5e0qVLF7G3t5chQ4ak+blOa2BMNf64efTokdy9e1dn2pw5c6Rhw4aprnrUp5Tb/bJly6RFixbSokUL2bZtm3K1b1qf4ZTTNm/eLNbW1nLq1Kn/vsHfiG8y/Fy9elXq1asnV69elUOHDknLli2lYcOGMnDgQKlRo4Z4enqmWkcNR3vSasOzZ8/E19dXHj16JBs2bBBvb2+5deuWiCT19WnXrp307NlTFe1PlvKOzPHx8eLm5ibW1tbi7u6eallfX19p1KiRREdH60z/Fi+hVpvevXuLm5ubJCQkKP3YGjZsqAQdkaRw3a9fP6lYsaJyme68efNUdaXgq1evROR/O+vkvnkiIj4+PlKxYkXl6GHyMrt375bOnTvrDAOxfv36b+YoolarlT///FOOHDmiXIUqkhTq6tWrJ6GhoXpsna6DBw9K1apV5fr16yKS1Fm4dOnS8vvvv8ujR4903oNvLYhGRkbK9OnTZfDgwdK/f39xcHBQbR8fX19fqVChgixYsEC6du0qLi4usmrVqjQD0MfvQ4UKFb6Jz8XXpPrwk9aXfmxsrFSrVk2cnZ3F2tpaxowZoxy2XLBggQwcOPBrN/Nvpazj1KlTsnr1aiWFR0REiFarlVatWsmcOXNEJOnwuIeHhzKWzMfPoQbJv06jo6OlT58+Uq1aNfnll190doa7du2Sdu3ayYcPH5RpariE+lsXERGhDOInIvL06VM5e/asVK1aVefKs8TERLl9+7bUqVNH/Pz8RCRp4Dy1XCk4cuRI6du3r/IL/N69e2Jtba3c0iEqKkrc3NzExcVF7t27JxERERIdHS3dunWTAQMGKM9z7do1qV+/vhw8eFAfZaSbVquV06dPy5gxY6Rv376q/PJdtWqV9OnTR0SSTn2VK1dO1q9fL48fP5bevXsrQzyobQiRzxETEyPbt2+XDh06yOTJk1V7VdfBgwfFxcVFOYV94cIFsba2ljp16siqVauUU5CJiYnf5PugD6ru+ZSyo9aff/6JuLg4fPjwAZUqVcLevXtx7tw5FClSROfOwefPn4e1tbW+mpwmEVHqmD59Ovbv3w8LCwtUqVIFDg4OyJo1KyIiIhAeHo7Y2FicO3cOq1evxocPH9CkSZNUz6EGp0+fRrdu3TBp0iS0atUKM2bMQK9evbBq1SrExcXByckJALBr1y7kz58flpaWAJKGYA8ODsbChQtRrVo1fZbwTcuQIQMKFSqEy5cvo127dnj48CFGjBiB2NhYfPjwAcD/Pj8//vgjMmbMiMjISABJt04A0teB8kuztbXFsmXLsGbNGnTu3BnFihXDrFmzMHHiRPTq1QtLlizBrFmzMGbMGLRs2RIFCxZUPgfbt29Xnqdo0aJYsGCBXi9gSK9MmTLh8ePHKFOmDAYOHKjXGtLqwPzs2TNoNBr88ccf8Pb2xrBhw9CuXTu8ffsWJ0+eRK1atVCyZEllvU2bNmHmzJmYMmWKcpGJWmXKlAktWrSAm5sbNBqN3j8Pn/Ls2TNYW1vD2toa165dw/z58+Hr64uAgAAsWrQIAFC3bl0UKFBAWSf5ljTfwvugF3oOX5+U8hfp3LlzpXHjxlKzZk2xs7OT7t27K7+O7t27JwsWLJBVq1ZJ586dpWHDhqrrE5Ns/fr14uTkJJcvXxaRpHP/T548kZMnT8qrV69k7969Ym1tLa6urjr9H/TdETUtz58/l3HjxslPP/0k27ZtE5GkX+mdO3eWChUqSI0aNaR79+7i7u6e6gaHaqznWxQdHS21atWSMmXKKOP4uLq6SqdOnXRu5xIeHi5t27bVOYqoBsmf8R07doiTk5OMHDlSHj16JCJJp77KlSunHHEQSRogcP369bJ9+3ZlG4qPj9f70asvQQ01pDxi8PDhQwkKCpJ3797J1atXpUyZMmJtbS379+9Xlnny5Ik0atRIZyiBs2fPipOTkxw6dOirtt2QpHX6auLEiTJ48GB59+6d+Pr6iq+vr8TFxcmzZ8/ExsZGqlevLlOmTFHWW79+vZQrV46nuv6Cao/8JCfw5cuXY+PGjViwYAEqVqyIxYsXY+HChRgwYABiYmKg1Wpx7NgxZMmSBQUKFMCKFStSXbKrBlqtFjdu3ECbNm1Qrlw5XLlyBTt37sTRo0cRHx8PGxsbLF26FIcOHYJWq0XRokWRIUMGVdQhaRwh+O6779CzZ09kzJgR3t7eAICWLVtiyZIlGDJkCAICAlC2bFl4eHjAzMwMcXFxymW9RncDvf9IeHg4IiMjUbp0afz2228oWLAgpk6diqFDh6J79+5o3bo1MmfOjB07diA6Olo5iqgGKbepatWqQUQwe/ZsAICnpycaNGgAAPD29kbPnj2xdOlStGzZUuc5EhMT9f7Z+FL0fcRBUhxZnj17Nk6cOIHHjx+jZcuWaNq0KTp16oRNmzbh4cOHePHiBcLDwzFv3jxYWFjA3t5eeZ4SJUpg8eLFKFOmjL5K+aalPPL29u1baLVa5M6dGyNGjMDdu3fx5s0bnD9/HgMGDICpqSmePXuGypUro1GjRnBzcwMABAUFYdu2bfDx8YGrq6s+y1E3/WavvxYXFyd9+/aV7du3i0jSTdkqVqwo27Ztk4CAAGUgwORRapOp9ciPj4+P1KtXTyZPniz29vbStWtX2bhxoxw4cEDs7e2V2xAkU1sfnyVLlqTqU/Hy5UuZMGGCWFtbKzfSjIqKkk6dOknDhg1l9+7dOv196MtKTEyUN2/eSI8ePaRVq1ayYcMGuXfvnri7u4uTk5M0adJE+vTpo6qjiCm36ylTpkjNmjVFJKl/mJOTk3h5eSlHgA4ePCgODg7KiNT03/Lz85PKlStLQECABAQEKFcShoWFyZIlS8TBwUHKli0rrq6uOvfqUtsQIt+6BQsWiJubm9SuXVtnaIrNmzdLtWrVRCTpe69nz57i5eWlc7QoLi5OHj58+LWb/M1R9c+mqKgoXLp0Cc2bN0dgYCC8vLwwfPhwtGzZErt27cKiRYtQu3ZtFCxYUFlHRFT7a9DJyQnv3r3DyZMn0adPH9SuXRvff/89IiIi8P3330Or1eosr+8+Pil/hcTExOD27duYO3cuzMzMUKtWLQCAlZUVunXrhlu3bsHLywtRUVFo164dli1bhv79+2PGjBnIkCEDGjdurM9SDFaGDBmQK1cueHt7Y/LkydixYwdy5MiBdevWISwsDImJiciTJw80Go0qjiImtxkArl27hmfPnmHq1KkQETRr1gxarVY5AtSzZ0/Ur18fMTEx2L9//18OqEf/3MGDB1GtWjVkyZIFwP/2tz179oSDg4POsteuXYOFhQUOHjyImzdvInfu3Pjpp59Uc3T6W5dy2168eDHWrVuHDh064OXLl5g3bx7ev3+PIUOGoFy5coiIiEDdunVhbm4OrVaL+fPnQ6PRQJIuYIKpqakyECh9mmq22LR2bNmzZ0e1atWwYsUKBAUFYfTo0cqh7+joaBQsWDDV6Jv6Pnz8V6pXr47q1asDSAppL168wPv37zF48GBkypQJ5cuX13ML/yfl+/H777/jzZs3yJ8/Pzp16oQ+ffpg0aJFSgD67rvvYG1tjdjYWOzfvx+tWrVCpkyZMG/ePAwfPlxnRGr6bxQqVAje3t7w8fGBn58fXr16hU6dOinz1TSyq4jgwoUL6NSpE0xMTNCpUyflc9u8eXMASadeMmbMiC5dusDNzU05pM8A9GVcvXoVK1asQL169XSm3759G4ULF1YeJyQkAAD279+PqKgodOrUSedCBTVtV9+y5G365s2biIqKwpw5c1ClShXExcWhdOnSmDRpEkQEAwcOxLJly/Dbb78he/bs6N69u043DzV//6mNKrbalDu0J0+eICwsDJkzZ8YPP/yAOnXqYMiQIShfvjyqVq0KAPjw4QNOnDiBIkWKKP1I1E5S9HEICQnB6tWrcfDgQeTOnRsajQabN29ONRS5PqW8Om3Pnj348ccfERMTgx49eiAiIgJ9+vTBsmXLUL16dSQkJODdu3fo168fatasCSBpuH5zc3PMnz9fn2UYleQANHToUNy9e1dnm9P3NpWyLRqNBpUqVcKAAQMwb948/PrrryhWrBhy584NICkAaTQajBw5EoUKFdK5+knfdRiKsmXLYseOHciQIQOuXbuGQoUKIWfOnChXrhzu3r2L+/fvo1ixYkqwKVq0KC5dupTqNjV8P76c8+fPo0+fPtBoNErANDMzQ/PmzSEimDx5MjJmzIhBgwbpHJkzpL5vX5PeXzFJ0dFu7ty5OH78OIKDg2FlZQVTU1OsWrUKAwYMwLp169CxY0dYWVkhMjIS8fHx2Llzp3K4T+2JN2X78ufPj2rVquHHH3+EhYUF6tevj4wZM6ru8PGhQ4dw4MAB+Pn54ccff4SJiQkyZMgABwcHmJubw9PTE05OTnj9+jVERPnAisg3E0oNTcGCBTF//nzlVJcaPhspA31oaChEBPnz50evXr0QExODZcuWIU+ePGjdujVy5MgBAHBzc0OuXLng7Oysx5YbtgwZMuDp06do3bo1hg8fDg8PD7Ru3Rrdu3eHn58fOnbsCBsbG3z48AGXLl1C4cKFebHCF5Tys5l8kUvr1q2xbt063LlzBw4ODsq+tEWLFsiQIQPGjRuHfPnyoX379srz8D1JH71/0ya/+StWrMCWLVswY8YMVKlSBZMnT8bGjRtx9+5ddOnSBaVKlUJAQABev36NokWLon379qq8quvvJG/wjo6OOtPVWMejR49QpEgRnV+AQNIvFBGBj48PfvvtN9jb28PLywsmJiapfhnS15d880g1HEX8uC/DgQMHkCFDBlSoUAHjx4/HoEGDdPr5pAxAyaeIuU39dwoVKoTly5ejd+/e0Gg06NKlC+bPn4/Ro0cjKChIGRPqw4cPWLp0KQB1jA9lCJJfww0bNiAmJgYdOnRAjx49EBsbCx8fH2TNmhXNmjUDkHQEyM3NDblz50aNGjX012gDovdvWxFBdHQ0zp8/j8GDB8PZ2RknT57Erl27MGPGDIgI/Pz80KlTJ51LKgF1HO5LuSP4nJ1CyqSf8otJ33WklFxHSEgIPnz4AFNTU2U6ABQoUACbN29Ghw4d0KRJE2W+GgOcMdN38EnZhunTp2P79u3o1q0bwsLCsGfPHmg0GowbNw5DhgwBAMybNw8fPnxA9+7dlU64AH/Z/teqVauGJUuWoHv37gCALl26YOXKlbh69Sru3r2LQoUKfbM/Nr8Fx48fx927d2FhYYGWLVuif//+EBF4eXkBgE4Aql27NgDua7+Ir3JN2d+IioqSZs2ayZUrV+T3338XOzs72bBhg4gk3citTp06yv1/1EKr1aa6pD7lTRmTl/nUusn279+vc28fNUkeQj357tnJrl69Km5ubvLixQtlmhoGaSN1+v3336VOnTrKZdNHjx6V0qVLS5UqVWT48OHKchMmTJC2bdtyW9KTkydPirW1taxatSrVvfhE1DFMwrfuU8OwDB48WGrWrCnr16+X2NhYefv2rUyYMEFsbGxk06ZNX7mVxuGrR8e0DsWbmppCo9Fg/PjxePbsGUaOHInWrVsDSDqEnyVLFuXoghoEBQXhp59+UpL36tWr8ccffyA0NBR16tSBq6srChYsmOZRIElxdGjTpk2YNWsW5syZ81Xb/7kqVqyInj17wtfXF1FRUahbty5MTEywZMkSZMuWDfnz51eW5WFwSiYfHQF9+fIlsmXLhjJlyiAoKAgbNmzAgAEDkCFDBsyePRtZsmTBiBEjMHbsWGXdj5+D/ntVq1bFypUr0bNnT0RFRaFjx448AveFJPdjTf7OuHXrFooWLQoLCwsAwKxZszBo0CD4+/sDAFq1aoX+/fsjPDwcu3fvRtu2bfmZ+MI0Iv//XMZXEB8fr4SY48ePIzw8HHny5IGTkxMCAgLg5eWFfPnyYcuWLYiLiwOQNNpr9uzZMWfOHFW88atXr4avry/8/Pzg5OSEWbNmYfPmzWjSpAni4uKwZ88eVKlSBb179041ymnKjXfz5s2YOXMmfHx8VH3flejoaGzZsgXz5s1DlixZkDlzZmUcGVNTU1X0KyH1SLmNHzlyBNHR0YiOjsbNmzfRs2dPbNy4EQkJCRg4cCCeP3+OZs2aISEhAU2bNsW0adOUU6tq+Kwbq2PHjsHf3x/r16/n+/CFzJ8/H1ZWVkqH5i1btqBDhw5o1qyZ0q8KAHr37o3AwEAMHDgQbm5uSExMhKWlJTJkyMDw84V9lfDTr18/1K9fXxmy3tfXF1u3boWlpSVev36NYcOGoUOHDti1axemTJmCIkWKIEeOHMpNGnfu3AlTU1NVvPkPHjzAkiVLcOjQIUybNg0XLlxA/fr1UblyZQDAlStX0LdvX1SuXBlTpkxRrnr6OPh8azece/r0KZ49ewYzMzOUK1eOg5tRKimD8LVr1zB69GjkyZMHDRo0QLly5ZA1a1Z06dIFw4YNg4uLC27cuIF58+ahV69eKFu2LI8sqAiPwH0579+/x8CBAxEeHo4cOXIgODgYefPmxYsXL9C1a1c0adJECUAvXrxA48aNkSdPHgwcOBD169cHoI6LFwzNf/7N9ebNGyQmJmLo0KHK2D1Hjx5VjhycPHkSM2bMgEajgYeHB8qWLYt169bB3Nwc+fPnh4eHh6o62v3444/o168fRARDhw6Fubm5MgBbQkIC7OzsMGvWLHTp0gXNmzdHlSpVvvngAyRdFVKoUCHlsRo6m5O6JO+cp02bhps3byI2NhaBgYH48OEDcubMCTMzM2i1WhQoUACJiYlYsmQJzM3NUa5cOWg0Gl7VpSIMPl9OlixZMHfuXLRo0QLXr1/HiBEj0KVLF/Tv3x8rV64EADRt2hRmZmYIDw+Hi4sLbGxsdL4fGHy+vP/82yt37twYOXIksmfPDk9PTzRt2hQ1a9ZEyZIlAUAZTXT69OmIj4+Hp6cnfHx8dJ5DDV+0KXcEhQsXVsLcli1bEBISoiyj1WpRqlQpFCxYUJme8pLG+fPnf3PBJy38kqK0bN++HXv37sXSpUtRoEABxMfHY+TIkdi8eTPKly+P5/+vvXuPqbr+4zj+/B6PAYYYHA1csZG3TIezUiqDFcyBhVKjY+u6tcZAFEEbuhaLRZ0ZI9QQuQqNkATXxZU1iuy6uWjWP+m6MGJatFIWsBOegyfD3x+N8+P8tPbLPJxz/L4eG3/A+XzPPh/O7XU+3+/78/npJ7Zs2YLb7WbatGm8/vrrGIbB2NiYnlNBRsHn0hlf9HXZsmUcPHiQ2NhYqqqqKCoqoqmpiYGBAZKTk6mtrSU6OpqcnBxAMz7+5NdEMT5bEx8fz6ZNmwgPD2f//v3ecr1z584RHh7OI488gmEY7Ny5k99++43i4mLv7YZhBMWb4sSZG8MwsNvt5Ofnc/r0aUpKSpgxY4b31Nf4E3biudyenh6ef/55KioqQj74iPyV3t5ebr75ZhITE72v//LyctavX89XX33Fo48+ylVXXUVkZCR2u52pU6cGzayuiL/ExMTw5ptv8uuvv/LUU0/R2NgIwM6dOykpKaGtrY3W1lbi4+Oprq4GfBcAlkvPb+84E/d8+fjjjxkYGPDu1dPc3MyhQ4dYuXKlTwByuVx89tln3tATbN88/vjjD9544w2Gh4cJCwtjzZo1bNmyBavVSn5+PuvWrcNisdDd3Y3VavUJOQsWLKCzs9Pn1JHI5WL8Nfvzzz/jcrmAP9eu8ng8xMXFsWnTJnJzc7FYLDzwwAPe1cAVfMRMbDYbTz/9NA6Hg6amJgzD4LnnnuOjjz5i4cKFXHPNNUG52v/lyO8XPF9ob6gPP/yQAwcOsHv3bm8AMgwDj8fjLXsPhvPNF5pyHB0dpbCwkP7+fnJzc8nKymJgYIAdO3bw9ttvs2DBAux2O/fffz9Tp07VdQxiKu+//z6FhYVUVFSwZs0a79/HK4icTidXX3019fX1QbV8hchk6u/vx+Fw0NfXx9DQEPPmzaO9vR3QiuaTxa/R8q/2hrrllluwWq1s3LiR3bt3e3cHv1BlVKBMDD69vb1cd911TJkyxbtZ5/jGngBZWVkUFRXx+++/c+bMGR566CEMw1B6F9NJTk4mOzubZ599ltHRUTIyMnC73XR0dJCUlERWVhZ33XUXR44cYcWKFYHurkhAXHvttZSWltLV1cXQ0BAFBQXe2xR8JodfZ37q6uro7u6mqanJGwIMw6Crq4vOzk6io6PZt28fbW1tLFu2zF/d+Ef+tyz/wIEDVFdXs3nzZjIzM72ByO12k5OTw48//sgTTzzB6tWrGR4eJiYmRmsyiKkNDg6yZ88eWltbsdlsWK1WoqKiaG9v58yZMzz++ONs27aNhQsXBrqrIgE18XNCX5Ynl1/+0+MP6F/tDRUXF0dXVxcVFRXExsaydOlSf3TjH5tYlh8REUFqaiopKSm0t7fT0tKCYRjeHdgjIiJ45plnWLt2Lc3NzURFRZGWlgboCn0xt5iYGLZu3Up2djbHjx/niiuu8G5SWl9fj9vtxmazBbiXIoE38Quygs/k8ssn9PgDmpmZybFjx3j55Zd9/n7u3DkWLVrE8uXLycvL867jE2jjZfn33nsv+fn5vPfee8ycOdN7fUJzczOdnZ3e9iMjI6SmpnL33Xf77LSr4CNmZxgG8+fPZ+XKlVitVkpLS9m4cSMdHR1s376dWbNmBbqLImJifv2Unrg3VF1dHX19ffzwww/U19cTERHBzJkzvW0DnXrHw1d8fDxFRUXY7XaKiop49913iYmJoba2lvDwcF566SVaWlro7e2loaGB6Oho8vPzsVgsjI2NBXQMIsEoLCyMEydOkJCQwL59+1i0aFGguyQiJuf3aq9Q2BtqYh/Gy/K///57zp49S1tbG7t27SI9PZ3BwUGKi4v55ptvsFgsxMXF0dHRETRbb4gEK70+RCSYTNrGpqGwN9TfleVXVVWRkZHByMgI3333HR6Ph6SkJK3JICIiEmImdVf3iYJtLYPOzk7Ky8tpaGjwKct3Op288MILvPbaa1RVVZGenu5zXLCNQ0RERP5ewM43BVtgOH78OAkJCcydO9e70CJAd3c3IyMjPPjggxQWFvLFF1/4HBds4xAREZG/Z/pzNaFali8iIiIXx/Q12aFali8iIiIXx/QzP+MmluW7XC4yMjKwWq1BWZYvIiIiFy9gFzwHo1AoyxcREZF/R+HnAkKhLF9EREQujsLP/0Hl7CIiIpcPhR8RERExFV3AIiIiIqai8CMiIiKmovAjIiIipqLwIyIiIqai8CMiIiKmovAjIiIipqLwIyIiIqai8CMiIeX666+nurra78dcyJNPPklaWtq/vh8RCSyFHxERETEVhR8RERExFYUfEQlp3377LQUFBdx6660sXryYlJQUHA4Ho6OjPu1GRkYoLi7mxhtv5LbbbsPhcOB2u33aHDp0iOzsbBITE7n99ttxOBy4XK7JHI6ITAKFHxEJWadOneLhhx/G7XZTXl7Onj17yMzMZO/evbS2tvq03bt3L6dPn+bFF18kLy+PV199leLiYu/tBw8eZMOGDcyZM4eamhoKCgp46623WL9+PdoCUeTyYg10B0RELlZPTw833HADVVVVREZGArBixQoOHz7M559/Tm5urrft3LlzqampwWKxcMcdd2AYBtu2baOnp4f58+dTWVlJSkoKlZWV3mMSEhJ47LHH+OSTT7jzzjsne3gi4iea+RGRkJWcnExbWxthYWH09vbywQcfUFdXx+DgIB6Px6ftqlWrsFj++5aXnp4OwJEjR+jr6+OXX34hLS2Ns2fPen+WL19OZGQkhw8fntRxiYh/aeZHRELW2NgYO3bs4JVXXsHlcjF79myWLFlCWFjYeW1nzZrl87vNZgPA6XQyPDwMQFlZGWVlZecde+rUqUvfeREJGIUfEQlZjY2NtLS0UFZWRnp6OtOnTwfAbref13Y84IwbGBgA/gxBUVFRAGzdupWkpKTzjp0xY8Yl7rmIBJJOe4lIyPryyy+ZN28e9913nzf4nDx5kp6eHsbGxnzafvrppz6/v/POOxiGQVJSEnPmzMFms9Hf309iYqL3JzY2lu3bt/P1119P2phExP808yMiIWvJkiXU1tbS2NjI0qVLOXHiBA0NDXg8nvPK2I8ePUpJSQmrV6/m6NGj7Nq1C7vdTkJCAgCbN2+mtLSUKVOmkJqaitPppLa2lpMnT7J48eIAjE5E/EXhR0RCVl5eHkNDQ7S2tlJTU8Ps2bO55557MAyDhoYGnE6n95TWhg0bOHbsGOvWrWP69Onk5ORQUFDgva+1a9dy5ZVX0tTUxP79+5k2bRo33XQTlZWVxMfHB2qIIuIHxjktYCEiIiImomt+RERExFQUfkRERMRUFH5ERETEVBR+RERExFQUfkRERMRUFH5ERETEVBR+RERExFQUfkRERMRUFH5ERETEVBR+RERExFQUfkRERMRU/gPL8tsN87f46AAAAABJRU5ErkJggg==",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.set(style=\"whitegrid\")\n",
        "sns.set_palette(\"rocket\")\n",
        "ax = sns.countplot(x='label', data=train_df, order=sorted(train_df['label'].unique()))\n",
        "ax.set(title='Train Class Distribution')\n",
        "plt.xticks(rotation=45, ha=\"right\")\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 70,
      "metadata": {
        "id": "mvRRN2a-kaU2",
        "outputId": "9cae5ae2-3817-46b8-e9fb-aefff440fe8f"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.set(style=\"whitegrid\")\n",
        "sns.set_palette(\"rocket\")\n",
        "ax = sns.countplot(x='label', data=test_df, order=sorted(test_df['label'].unique()))\n",
        "ax.set(title='Test Class Distribution')\n",
        "plt.xticks(rotation=45, ha=\"right\")\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 71,
      "metadata": {
        "id": "kz3AhZMIkaU2",
        "outputId": "acd78f12-2301-4528-b558-4001e4be2ff3"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.set(style=\"whitegrid\")\n",
        "sns.set_palette(\"rocket\")\n",
        "ax = sns.countplot(x='label', data=val_df, order=sorted(val_df['label'].unique()))\n",
        "ax.set(title='Val Class Distribution')\n",
        "plt.xticks(rotation=45, ha=\"right\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2msQvnhtkaU2"
      },
      "outputs": [],
      "source": [
        "target_folders = [\"test\", \"train\", \"val\"]\n",
        "path_destination = \"IMAGE DESTINATION HERE\"\n",
        "\n",
        "for folder in target_folders:\n",
        "    if not os.path.exists(f\"{path_destination}/{folder}\"):\n",
        "        os.makedirs(f\"{path_destination}/{folder}\")\n",
        "Í\n",
        "for i in range(0, 10):\n",
        "    for folder in target_folders:\n",
        "        if not os.path.exists(f\"{path_destination}/{folder}/{labels[i]}\"):\n",
        "            os.makedirs(f\"{path_destination}/{folder}/{labels[i]}\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {
        "id": "X0ehLuA7kaU3",
        "outputId": "b926f439-0b7f-4b8b-ccf8-118c45b72d90"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "7000\n",
            "1500\n",
            "1500\n"
          ]
        }
      ],
      "source": [
        "print(len(train_df))\n",
        "print(len(test_df))\n",
        "print(len(val_df))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 56,
      "metadata": {
        "id": "cW08vDFdkaU3",
        "outputId": "add6a0c0-4575-4558-b72f-19f412d3ac85"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Train\n",
            "6999/7000\n",
            "Test\n",
            "1499/7000\n",
            "Val\n",
            "1499/7000"
          ]
        }
      ],
      "source": [
        "print(\"Train\")\n",
        "for index, row in train_df.iterrows():\n",
        "    print(f\"\\r{index}/{len(train_df)}\", end=\"\", flush=True)\n",
        "    file_path_source = f\"{directory_source_path}/{row['image_path']}\"\n",
        "    new_file_path = f\"{path_destination}/train/{row['image_path']}\"\n",
        "\n",
        "    if not os.path.exists(new_file_path):\n",
        "        shutil.copy(file_path_source, new_file_path)\n",
        "\n",
        "print(\"\\nTest\")\n",
        "for index, row in test_df.iterrows():\n",
        "    print(f\"\\r{index}/{len(train_df)}\", end=\"\", flush=True)\n",
        "    file_path_source = f\"{directory_source_path}/{row['image_path']}\"\n",
        "    new_file_path = f\"{path_destination}/test/{row['image_path']}\"\n",
        "\n",
        "    if not os.path.exists(new_file_path):\n",
        "        shutil.copy(file_path_source, new_file_path)\n",
        "\n",
        "print(\"\\nVal\")\n",
        "for index, row in val_df.iterrows():\n",
        "    print(f\"\\r{index}/{len(train_df)}\", end=\"\", flush=True)\n",
        "    file_path_source = f\"{directory_source_path}/{row['image_path']}\"\n",
        "    new_file_path = f\"{path_destination}/val/{row['image_path']}\"\n",
        "\n",
        "    if not os.path.exists(new_file_path):\n",
        "        shutil.copy(file_path_source, new_file_path)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.6"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}