Create_Models.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github//jayralencar/pictoBERT/blob/main/Create_Models.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
        "  </td>\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://github.com/jayralencar/pictoBERT/blob/main/Create_Models.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View source on GitHub</a>\n",
        "  </td>\n",
        "</table>"
      ],
      "metadata": {
        "id": "5RqY7kegV_tu"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m5nmbmNgc1s8"
      },
      "source": [
        "# Creating PictoBERT\n",
        "\n",
        "This notebook creates the basis of the PictoBERT models by instantiating BERT and changing its embeddings layer."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_sisaNyKdNcQ"
      },
      "source": [
        "## ARES embeddings\n",
        "\n",
        "ARES embeddings have two sides, one extracted from contextualized examples and another from gloss definition, both using BERT. We trained BERT using both sides as input embeddings. So these are our model variants: 1) contextualized and 2) gloss-based.\n",
        "\n",
        "The vectors can be downloaded directly from the [ARES website](http://sensembert.org/) or by executing the following cell"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PpfL98Mn0Gr5",
        "outputId": "3d8dd233-837d-489b-f0cb-abbf58ac2ef2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1TU9Ar85Cs61owjy3GDsxPDaerYYNdIkl\n",
            "To: /root/capsule/ares_1024.bin\n",
            "100%|█████████████████████████████████████████| 852M/852M [00:08<00:00, 105MB/s]\n",
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=18ljLH7_z5CrcoRXNU6hOJbgxrZlhaRq9\n",
            "To: /root/capsule/ares_1024_gloss.bin\n",
            "100%|████████████████████████████████████████| 852M/852M [00:11<00:00, 72.1MB/s]\n"
          ]
        }
      ],
      "source": [
        "!wget http://jayr.clubedosgeeks.com.br/pictobert/ares_1024_gloss.bin\n",
        "!wget http://jayr.clubedosgeeks.com.br/pictobert/ares_1024.bin"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gX9qrETefpF1"
      },
      "source": [
        "The cell above downloads the ARES side separately in binary format. It can be loaded using gensim."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "hy-YvcZ5foQ-"
      },
      "outputs": [],
      "source": [
        "from gensim.models import KeyedVectors\n",
        "\n",
        "ares_contextual = KeyedVectors.load_word2vec_format(\"ares_1024.bin\", binary=True)\n",
        "ares_gloss = KeyedVectors.load_word2vec_format(\"ares_1024_gloss.bin\", binary=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7B17LjxRgwME"
      },
      "source": [
        "## Load Tokenizer\n",
        "\n",
        "It is necessary to load our trained tokenizer to its vocabulary to update BERT."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dwv23EuEgxhG",
        "outputId": "abd82cc1-5db8-4e25-9b94-5e5fffbe7a51"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1-2g-GCxjBwESqDn3JByAJABU9Dkuqy0m\n",
            "To: /root/capsule/childes_all_new.json\n",
            "100%|████████████████████████████████████████| 332k/332k [00:00<00:00, 9.34MB/s]\n"
          ]
        }
      ],
      "source": [
        "!wget http://jayr.clubedosgeeks.com.br/pictobert/childes_all_new.json"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "NCzaMuw6hMYm"
      },
      "outputs": [],
      "source": [
        "TOKENIZER_PATH = \"./childes_all_new.json\" # you can change this path to use your custom tokenizer\n",
        "\n",
        "from transformers import PreTrainedTokenizerFast\n",
        "\n",
        "loaded_tokenizer = PreTrainedTokenizerFast(tokenizer_file=TOKENIZER_PATH)\n",
        "loaded_tokenizer.pad_token = \"[PAD]\"\n",
        "loaded_tokenizer.sep_token = \"[SEP]\"\n",
        "loaded_tokenizer.mask_token = \"[MASK]\"\n",
        "loaded_tokenizer.cls_token = \"[CLS]\"\n",
        "loaded_tokenizer.unk_token = \"[UNK]\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V7UgJPiHgLPm"
      },
      "source": [
        "## Load BERT\n",
        "\n",
        "PictoBERT extends the BERT original weights. This way, we load BERT-large to use as base model."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 333,
          "referenced_widgets": [
            "26a61d68b70a4afcacf7c6d9da4ec0b7",
            "9924619b280d4c62b6f14131d78bb129",
            "baf2b98372434cac87c74d2dbd96b859",
            "e806498c6c9f4c49b9fe838a5c6fb8db",
            "d62a84158f004239968761ca1b4d2943",
            "97b32b1d3e594920a5af47b28a8472e8",
            "8000eec2f178496ba5d17e84e63a31f8",
            "e40004e2b1764e009b6bf6e047eabd56",
            "30a82e8e0822421bb13a87f27d645c93",
            "679f8401b3e4403a9993db72be3abe6a",
            "debf7d0d20744f0d9dc5b336fcd34e94",
            "d3dbc847184b4626b81d538a58c7255e",
            "eb7da0565370411a89b0bd80f48f0d26",
            "f16cb42061e0455d8a3d1703433878b2",
            "0722db5548754ad9a3f3658324c0db75",
            "4a78bc38fe6d4b99870fff46ea4cac9c",
            "d9c9294c30ba4a8984a0a44d36f321d4",
            "530355d65f0345229aa5de62e3e437b1",
            "65f501ef2c9a4cc3b98d0510c6b2e2d9",
            "6cae416aa86246109d7e12b7ca13c1c5",
            "01209bf7329c4276ad9eaca2528d5aa6",
            "8b9e39da70c04194a867cc07a52823ca",
            "808a4340a5fb42edb3a727ed605888b0",
            "e1184b2bd1a64c22ace070152b59d512",
            "48ac9a489a9841bd8c831bf75b59ae95",
            "94055edbaaba4de19ab849d70f2964f6",
            "309e6e81972c4b6c81ba08d01670ba65",
            "f333f28c10724809a2702f1a29dd42b9",
            "e7a2d7af88ed43d79de94397fdaf2355",
            "51be7cde51e14973ae80d70e42f10ba2",
            "72088eb13be2477d8252f8c18b029a4f",
            "019b7795705a44e3a884598b73167dbd",
            "7d0981cbd1c04d8e8201abe5a6662ea8",
            "9094d474557e4e05ac010864950d6a21",
            "bcdc048b500048a082802103b2690709",
            "91cefe36e3c945e09e0c6e58315ab4c5",
            "b74778dcf1df487a81103226e9a3d4da",
            "68599e1e50db4ad38d382800809c12e6",
            "60442f273c4c48588b1cced2a8213aea",
            "fc057999489949ef9a8491ffcac86b35",
            "6717645744f8409bb3112d58278d157d",
            "d6d7a291ae184d519e8a5c0c1a2686fe",
            "d47e456b4ed145c293e49a4db66af70e",
            "8809b192e12343a79aca8a1602b749d3"
          ]
        },
        "id": "CKCC1ICjgR2c",
        "outputId": "2448efe6-3056-45b6-9302-e5947ee7327e"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "6717645744f8409bb3112d58278d157d",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, description='Downloading', max=231508, style=ProgressStyle(description_wid…"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n"
          ]
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "d6d7a291ae184d519e8a5c0c1a2686fe",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, description='Downloading', max=28, style=ProgressStyle(description_width='…"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n"
          ]
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "d47e456b4ed145c293e49a4db66af70e",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, description='Downloading', max=571, style=ProgressStyle(description_width=…"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n"
          ]
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "8809b192e12343a79aca8a1602b749d3",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "HBox(children=(IntProgress(value=0, description='Downloading', max=1344997306, style=ProgressStyle(description…"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Some weights of the model checkpoint at bert-large-uncased were not used when initializing BertForMaskedLM: ['cls.seq_relationship.weight', 'cls.seq_relationship.bias']\n",
            "- This IS expected if you are initializing BertForMaskedLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
            "- This IS NOT expected if you are initializing BertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
          ]
        }
      ],
      "source": [
        "from transformers import BertForMaskedLM, BertTokenizer\n",
        "\n",
        "pretrained_w = 'bert-large-uncased'\n",
        "tokenizer_bert = BertTokenizer.from_pretrained(pretrained_w)\n",
        "base_model = BertForMaskedLM.from_pretrained(pretrained_w)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6ZpfkLsshcY7"
      },
      "source": [
        "Let's use the copy library to make copies of BERT"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_FD41nUahmjv"
      },
      "outputs": [],
      "source": [
        "import copy\n",
        "\n",
        "contextualized_model = copy.copy(base_model)\n",
        "gloss_based_model = copy.copy(base_model)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O5HVCQTNhvBJ"
      },
      "source": [
        "## Embeddings Update\n",
        "\n",
        "#### Embeddings Update\n",
        "\n",
        "The procedure for embeddings update is based on Algorithm 1.\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "![image.png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAbcAAAFaCAIAAAASL4TgAAAgAElEQVR4AexdeVxO2f8/T4ukUiSMIksLyVhm8NhVliyJsQuFNGUsaRIpIWkqVFoUlUqW4kEh6yRi7I0tpNKqUtr3epbze718Xt/zu/Nsk3bm3j/qPOee8zmf8773eT/nnnPu540wfdAI0AjQCNAIiEYAiT5Fn6ERoBGgEaARwDRL0jcBjQCNAI2AOARolhSHDn2ORoBGgEag6Sz5119/xdMHjQCNAI3At4/Ay5cvxfwYNJ0le/bsieiDRoBGgEbg20dg5syZrcKSYozSp2gEaARoBL4bBJo+lvxuIKA7QiNAI0AjIAaBVmfJ9PR0weY5/zsETzUnJyMjo6GhQaiF/zXIEXq2RTJzc3NbxM63ZYTL5dbX1zfN59raWqEV2V8OOFVTUyO0TMfJFNWLjuMh7UkzEWhdlnz+/PnAgQO5XC7Vy48fP/74448IocGDB1Pzm5mOiYlBCI0fP57YaWhoyM7Oxhh//PhxzJgxCKH+/fuTsy2VqKurCwsLGzly5Pz58xtp8/Pnz87OzhMmTGAymSu/HMuWLXN1dc3PzwcLDx48WL58OZPJ1NPTMzU1NTMzMzExmT59OpPJ/Pz584sXL1avXs1kMidNmmRiYrJ06dLNmzfHxcVB3YsXLzKZzMmTJxsZGenp6TGZzHnz5kFdExOTRnrYmGLl5eW2tra9evW6f/9+Y8pTyzx9+nT27Nn9+vWjZmKM8/Ly1q9fr6SklJycjDHOysqSlpa+evUqX7GO8LGhocHZ2VldXT0wMLAj+EP70HoItC5L/vrrrwihK1eu8HXAy8urxVny3LlzCKHRo0eTtjZu3Ojt7Q0fAwMDW4Mlo6OjLSwspKWlEUKNZ0lwCYgbfkLy8/OnT5/es2fPDx8+wNnbt28jhLZv306609DQsHDhwqysLIzxs2fPEEKWlpYYYy6Xe+rUKUlJyc2bN2OMvb29t27dCuM7MzMzhFBVVRXG+O+//x41ahSx1iKJv//+GyHUBJbEGDs4OPTu3VvQjVu3biGEgCXZbLaXl9fnz58Fi3WEnNraWklJyX9lyby8vI7gLe1DkxFoRZasqKiQl5dHCBkaGvL55+fn1+IsiTF+//59XV0dtBUUFIQQIiwZHBzcGiwJbY0bN64JLLlo0SKE/h//V69eIYT27NkDNtPS0hBCjo6OVOieP39eXFyMMf706RNCyNrampydPn06g8EoLy8/dOhQWVkZ5FNZEmPs5OREyrdIApxsGku6ubkJZclHjx4RlmwRJ1vVSOfOncWzZHh4+N69e1vVB9p4ayPw/9/SFm8pICBAT08PIcRgMFJSUqj2+ViyqqrK29vb2trazs7u2LFjkZGRsbGxUP7mzZvbt2+3s7M7ffo05GRkZOz5chw7diwvL2/btm1OTk7Z2dmQCbQYEhLCYDCAoF1cXDDGhCULCgp27NixcuXKW7duwcM4VPTx8cnPz3dycjIzM7t+/TrG+MqVK2ZmZtu3by8tLaU6L5ieNm0aH0s2NDTs3bv34MGDgoVJDh9LpqSkIIR27doFBQRZMjU1lYxKBFlyxowZCCHgUNIEH0uSfMHE7du3vb29ARPiwLVr17hcbkxMTEhISElJCYxh/fz8EhMTSRkYSyYmJvr7+z958oRqOSkpyc/PLyoqijpzl5mZGRQUFBkZ6eLiQmXJsrKyqKiowMDAa9euUVnyxYsXr1+/BrPv3r2Lj4+vqqqKiIg4ceIEh/P/s8yZmZkBAQERERFkMI4x5vF4ly9fDg8Pj4uLI7MZVA9fvHjBYrHi4+MxxklJSawvB4zu6+vro6Oja2pqEhISfH19qfvpOBzO9evXfXx8UlJSqCxZVVV15swZf3//e/fuQSuxsbFSUlJLlixhsVgwoq+rqzt37pyvr++rV6+ontDpjoxAK7Lk4sWLs7KyJCUlEUJbtmyhokBlyerq6uHDhyOECgsLb9y4gRDS0tICstu9ezdC6NWrV8XFxXJycosXLwYjO3bsQAhpampOnz5dSkoKIfTkyRMnJycyWnz//v3AgQNhtPX48WPCkkpKSkuWLLG2tkYISUtLwzfKzc0NIdSrV69ff/11+/btCCEZGRkHBwc7O7uffvoJIbRkyRKq84JpQZaESVJwTLA85FBZMicnZ+7cubq6uh8/foSzfCxZU1NjaWn54sULOMvHknFxcTIyMosWLeJrq5EsaWVllZCQ8PLlSw0NDQsLC4zx3bt31dTURo0a5ezs7O3traura2ho6Onp6eHhYW1t3alTJ1iUAyfNzc2XLVumr6/PYDDI4N3b2zs8PDwtLW3BggUjRoyARZjo6OgVK1YUFxffu3dPW1ubsOT79+9nzJjx7t27tLQ0IyMjYMmKigpHR0eEEAzWrl+/3q1bNwMDAxsbGwcHByUlpd9//x36e/fu3UmTJn369Ono0aMIocmTJ/v5+WGMN23aBD+uNjY2Z8+e5QMHY8xms/X19SdOnIgx5nA4Dg4OCKG6urrs7GwDAwOEkI2NzYYNG6ZMmSIlJXX+/HmMcXV1tbGxcWxsbFFRkb29PYPBAPc+f/6srq7+/PnzsrKyoUOHnjlzBmOcnJyspqZmYWHx7Nmzurq6oqKiNWvWvH379saNGzIyMhEREYIu0TkdEIHWYsmHDx+6ublhjI2NjRFCXbt2raysJP2nsmR0dDRCSFVVFWNcWFiIEJKSkiotLX3x4oWEhIS0tDSPx8MYDx06FCF07tw5jDFMMkpISBQUFNy4cWPbtm11dXVktAit6OrqCj5x9+rVC0YK3bp1QwjBbRoZGQkewlxenz59EEJ//PEHxvj48eNAoMRzoQlBlvz48WP//v2HDh1K7TVfXWDJJUuWzJw5s0ePHlpaWjCGhWJAQDo6Osu+HOPHj5eRkeFjyWHDhpmYmPz8889MJtPPz09wfb8xLHn8+PEtW7bUfTn27NmDEAIGNDU1HTlyJDhz6tQphNDff/+NMW5oaOjUqRNQAzh59OhRKLZ8+XJZWdnCwsLk5GQmkwk2YYL1+PHjJSUlKioqZCfArl27CEtOnTo1MjISjMTFxZGxJI/HI21hjGfMmKGvrw/3g6Wlpba2NlSZMmUKTE1wuVwlJSV4esAYa2pq3rhxA+6rS5cuQWG+v5aWlsCSGGMWiwUsiTGG37lnz57BzO/EiRMHDBiAMd6zZw9MB2OM6+vrybzkw4cPe/XqBT8GVlZW69atg4Y0NDTILMrq1avPnz8PsOjr6wsuXvH5Rn/sIAi0FkuuW7cOHg9v3rwJO/OPHDlC+kxlSXjC6tmzJ8Y4NzcXCn/+/Nnd3R0hpKamBrWmT5+OEIKbD1gS7lpiszEsSda4+/fvjxAKDg7GGANL9ujRA0wNHjwYIQSDEfjaKCkpkVaEJgRZEh73hBYmmdSxJI/H279/P0LI3t4eCvCNJTHGHh4efCy5efPmN2/eyMnJ6enpsdlsYpkkGsOSixYtMjY2hmkH+AvTI+bm5oQ+7t27hxDKzMwEy+rq6s7OzhhjcJLMS0Kxq1ev+vn5DR8+nGrz5s2bYWFhffv2Jb6RecnMzEyEEHlS5puXlJeXJxN/c+fOJeNlUh1jPHr0aBgCY4wNDQ0JhjY2NnJycm5ubmL2KoliyevXryOEioqKwGGY5i4sLOzfv39ISAjpBfWJG3gzKipqypQp06ZNgzJUluzRo8eWLVuosAj+sBHLdKLjINAqLFlSUqKlpQV7XFasWNG1a1eEkI6ODuk2lSV5PN7SpUsRQqmpqVFRUQih1atXY4y3bduGEBo2bBjUAk4xMjIiY0kNDQ1ikDxTEx4UOpYkZ9uAJam+CU1TWRIKqKurS0pKwgSWIEuWl5fDKb7Vm9OnTyOENm7cKNhKY1hy5MiRO3bsEKxLZcn79+9TWbJ///4wPuJjyby8PIRQbGzs1q1bmUwmn00HBwehLAmL2s1hybCwsJ49e2ZnZ1dUVAwePPjt27fQNJfL3bVrl4SExNChQ4Xu28UYN5IlgTTz8/MZDIYolgwNDbW2ts7IyNi4caMgS5aXlyOEqI8LfPjQHzssAq3Ckp6enhcvXiR9htklhBA8/mCMqSyJMS4rK5s7d66dnd3+/fujo6PhoTg0NBQhRB7KJk6ciBCC7zOMJTsOS8IcFnUnEI/Hi4qKEtwCRTDBGAuy5PDhwxkMBqyTCLIk1PXx8eFjSZiAQwgFBQVR7WOMG8OSs2bNGjduHKnY0NAAWy+bwJIpKSmSkpJ5eXnu7u6dO3cmS+0Y42vXrnl5eUlKSpLRGRkMPn/+HCFEbpgmjCUxxjY2Nk5OTl5eXhkZGaQvQJfPnz/X0tKaPn06yacmLC0tJ0yYADlnz54lT9x8Y8mTJ0/CY42ioiJ1kp2MJcPDw9XV1eHW5WPJ3bt3g/0uXbqQcS7GODs7+82bN1Rn6HTHRKDlWbKurk5TU5P6ysTr16/hOZps+fb09EQIDRo0CKbDf/jhhzlz5qSkpOTn51dUVABSVVVVffv2ZTAY8LjUv3//Ll26wG5BX19fwelCoE7yhD5y5EiEkK2tbUJCQkpKCt9ZNTU1siwQERGBEOrWrRu0q6mpSSY0YWyroKAg/uKNHj0aIUT9HpJ5BrI+K2hBX18fIUQWam/evCkpKUmo9smTJ9QHcKh+7tw5U1NTjDFsG4JBN8wVMpnMTp06kYdfKD9r1iyEEGytF3QAcuBZcseOHSUlJR8+fFi/fj0QjampKaGP+Ph4hNC7d++giqqqKmwqAiq/e/cu5Ht7e8OezeTkZElJyZkzZ2ZkZBQVFbm5ubFYrNTUVGlp6Q0bNkBhc3NzWVnZ+vp6Nputqak5evRoGCmfPHkSIQTLxGw2W1pa2tPTE6rMmDFj4cKFkHZyclJRUYG0s7Pz0aNHqbcc5K9YsQISLBaLzLFCDvm7c+fObt26VVRUcLncdevWIYRgpghYkuzNWLhwob+/P/zwKCoqQn52draEhMS+ffswxubm5kpKStXV1TU1Nfr6+uPHj4f504kTJ65duxZjXFpaamJiIi0tHRkZWVtb++TJk5UrV5KrT/yhEx0QgRZmycrKSgMDAwaDYWNjU1BQgDFOT0/funUrCRqydevWnJwcWIphMBhRUVEPHz4kZyGhpaX18OFDjPHr1691dXVtbW09PT379u17+/ZtjHFGRsaIESOg5JYtW2A+LicnB9ajGQwGrAPAyrWUlJS9vX1OTs7PP/8MVcLDw2EiEiE0ZsyYV69ewe5uhFB4ePjFixdhUX7UqFHp6elAZAihgIAAoRfv+vXr1tbWsOuoU6dOVlZWz58/xxi/e/euc+fOioqKhYWFghWLiorc3d27dOkCe5VMTU0NDQ2HDRu2Z88eWO15/PixoaEh/BIsWLDAwsJi5cqV0METJ068fPkS1sRUVFS8vLxg/JKTk6OioqKoqAiDzcrKSjc3N5jrWLJkyYMHDwTdgBwOh2NlZSUhIcFgMAYNGgT0FB8fr66urqioGBsbm5+fv2LFCoTQ+vXrCwsLw8LCGAzG2LFjk5KSamtrZ8+ePXHiRH9/f1dX1127dpGJtpCQEDk5OYSQkpISmViMiIiQl5fX1dVdunSpiYmJpqYmrJIlJiYOHDhQVVV13rx5dnZ2ysrKGzduTEtLg9WkcePGJSYmxsXFde/eXU1N7e7du2/evIHXt2D9zdbWFi6ulJSUsrLyokWLAEYNDQ13d/e4uLjly5fDzSMIQmpqau/evbt37z579uzjx4+rqKjY29tzuVxgyVWrVnl6em7evNnJyQlY7/Pnz9OmTVNQUJgxY4aLi0vXrl1/+eWX169fw7I17JSAUfOvv/6KMd6/f7+UlNTq1auzs7MLCgqmTJkCe+P09PTIQpagV3ROh0KghVmyCX3j8Xi2trY9e/bU+HKoqKgghMgoBmOcmZn5/v17uEe/yn5WVta/bnX8KoNfVbi4uJhMI35VxXYpXFVVlZWV1QSQYQ9NZmam4PIRm80WfLOezWZDQ4Kr/zk5OfX19bW1tYKmxGDC4/EOHDjw9u3bDx8+PHnyJCYmZv/+/b6+vjDErq+vT09PJ+8aCLVTV1cHLtXW1pLBHbBkYWFhVlaW4OLP58+fYT6BPPpgjEu+HNBEfn4+ATMnJ4ekYcFd6G+nUN/ozI6AQPuz5MmTJxUUFKjfmc2bN8+ePbsjoEP70PEROH36NHkMB2+Tk5PFzwg3plN885KNqUKX+V4RaH+WvHPnjoKCgouLy507d/7666+goKB58+bBa7zfK+h0v1oQgZiYGCkpqcWLF7u7u/v7+2/fvv3YsWPNtw+Lh7BfsvnWaAvfNALtz5LwZPT27duLFy9euXJFzHLHNw007XzrIfDq1StXV1cHB4eIiAiYDW9mWykpKY6Ojra2ts7OzvSrhM0E8zuo3iFY8jvAke4CjQCNwPeKAM2S3+uVpftFI0Aj0DII0CzZMjjSVmgEaAS+VwSazpLz58+fSh80AjQCNALfPgLbtm0TQ/FNZ0kPD4/d9EEjQCNAI/DtIyA+il3TWVIM9dKnaARoBGgEvhsEaJb8bi4l3REaARqBVkGgHViSx+NlZWVl/vMQ/w5Zq3T9f0YbqZVKlSX4X9Wv+N/M6l/RUvOKCsaMaJ49kbVbG5Dm2BdVl+SThMju0Se+IwTagSVra2uPHz8+ZMgQHR2doKCgsLCwoKCgVatWzZw5U6g4SWujbWFhMXbs2H9tRUtLi6po+K/lSYGQkJCRI0dCZEySSRK+vr6GhoZMJnPBggWmpqZLly79/ffficpKQ0PD/v37QZN28eLFZmZmpqamixYtYjKZECfiwIEDkydPZjKZxsbGy5YtMzU1dXNzg1eMs7KymEzm+PHjZ8+ePXPmTCaTaWhoOGvWrPHjxzOZzPLycuIDJB4/fmxkZKSsrMyX37IfxQu05uTkbN68GdxetWqVmZnZ6tWr586dy2QySdi9f/XH19d3yJAhJGL5v5YnBUT5Jpjf5JuBtEUnviEE2oElAR0tLa1Dhw5RkdLU1GxZwWiqcTHphw8fXrhwQUwBOHX69GkSKvxfC/MVmDlz5ty5c/kyyUc7OzuEEER1rKmpsbOzk5SUjI6OJgUmT56MEKKOX54+fWpubg4F5s6dixD69OkTiJ3p6empqKi8f//+xYsXkydPBr2wsLAwIvlbUFAwatQooQFp9u3bJy8vT9ptpYR4gdba2tpOnTrx/W55enqGh4c30h8ej6eoqNgElsQYi/KNL785N0Mje0EX6zgItA9LQlBrIsUHcIwbN27OnDkdB5oW9GTZsmViWBJiEt+5cwda5PF4ysrKU6dOJQ6sXLmSGokS8oFVIdo2QoiEvP3rr79A1urRo0dEipLKkhjj8PBwEhuctALRkduAJTHGJHgttXWSVlNTI2ISkFlRUcEn0EgKC02oqak1jSXF+CbeZ6Fu0JnfBwLtw5KnT59WVFSEwIiA4+PHj2VkZG7evNmCsHK53Bs3bhw+fPjSpUtkIMZms69cuVJVVXX9+vVr165hjCsrK6kDN5AnPXz4cFxcHKkFwzSQJMUYFxQUgKJebGysv78/ib8NxUJDQwMCAkgAV4zxV7EkxrhPnz6TJk0iUAiyZEJCAjlraWlJZckHDx4ghCAaLinDx5Ikny/h5+cHLFlaWhodHc1isS5fvgzBxD59+hQaGhocHAxBat++fQu6rIBJWVkZi8Ui8cb5CkMrogRa+XzAGPOxJJvNJvEx6+rqrly5kp+fn56efuTIEcgvKys7e/ZsUFAQmd0GlszKyjp27Njly5epd9pX+SbK548fPzbmZhB1Lz19+jQ0NPTSpUupqamC3adzOhoC7cOSFhYWZJ6utLQ0IiJCX1+fKgbdfJhKSkqmTZt248aNysrK3bt3Dx48+MOHD5mZmRC+28PDY9asWZqamvfv39fR0SG6ETwez8jI6Pjx4wUFBcOGDVNSUlq5cmVeXt6JEyfk5eWXLVsG8qEjR45UVVV1dHR0dnbW1tb+6aefwOF79+5pamqWl5cnJyd37do1LS0N8hvPkpWVlY6Ojj179qSiQWVJHo/35s2b5cuXE4ioLFlbW2tkZNSpUye+cfrXsiTGeNWqVX5+fkCR9+/ft7e3T0tL279/v7Ky8uvXr7lc7ty5c7t06ULC7trZ2cHEhWBhMQKtpBfUBJUl2Wx2REQECNiWl5dv3LgRIWRnZ+fi4gJTEwEBATt37gwICNDU1Fy/fj3YUVNTmz9/vrGx8YoVK6SkpH755RfI/yrfRInKNvJmEHUvsVisDRs2cDicS5cukcjt1O7T6Y6GQPuwpJaW1po1a06ePBkREeHr62tpaenq6koGAlSMOByOubk5CI0J/Sso9gLVN2zYQNQ+McZjx44FxYUrV64ghGDQCtFVXVxcCEvGx8czGAz45h86dEhWVpawwLRp04AlMcaurq4kJiZEPod1pwMHDpDImEOGDCFbVRvDknp6enPnzh00aJCCgsKRI0dIuxhjYMklS5YsW7Zs/vz5ffv2JcIP5Il71apV8+bN69u3r4WFhWAYm69iSTabvXPnzqdPnwKSbDZbR0cnNze3rq6utLRUXl4elCSePn1KlbuaN28ej8cTVViUQCv1WpO0mppajx49QGJ35syZSkpKROY7IyMDIRQTEwOFNTU1582bB+k9e/aQ66impkZ+SEDM48qVK1/rmxifG3MziLqX1q9fT9RvQMWTdJxOdEwE2oElhU5K/vjjjyAP0lIwqaqqgiA4GHRzc5OQkKiurv7zzz/JWgecOnjwIPl2xcbGEuWTR48eSUhIkJ0xc+fOJSx58OBBokzLp2aFMS4qKgoODu7Tpw+ZGmsMS5J5yatXryooKEyaNImE7KaOJUHOdM2aNQQoGEuWlpauWbNGUlJS6Fpw41lSVlbW0NCQql6dlJSkqKhI1UclARz19fUNDAwwxm/evAENLFGFxQu0kr5AgjqWxBg/efKEsOTHjx8RQn/++SeUNDAwMDMzg3RoaKiEhASxQMCvr6/v0qWLnZ3d1/omxufG3Ayi7qVLly4xGIy1a9fCghs4TP/tyAi0A0sKTkpijFesWEFkYJuPF4/Hk5aWpr6bCXKs+fn54lmyurr6xx9/hIpeXl5U4m7MF6Ourm7Hjh0HDhyoqKjQ1dUlX9SvYkmMsampKUIIpk3JWJKIDYBwOUGJPHHX1NSMGDGiW7dugrNdjWdJeXn5tWvXDhw4EKQcMcYxMTFE/5Y0CgkI6P333387OjqClKvQwvX19WIEWvlsCs5LUvvLx5LTpk0jLAl9BGt8qzdaWlrbtm37Kt/E+9yYm0HMvXT+/HmlL4fQnzRBQOic9kWgHVjSwsKCb8G3vr5eXV2dKAJSEeFwOGZmZvDwJfTv0aNHqeVJWldXlypqGBQU1LNnT4yxeJbEGD9//nz16tXu7u6RkZFUuZLGfDHWrFlDetEcltyyZQtVfJVvLAl9fP/+PXzHCEtijNPS0pSUlHR0dKh6LBjjr2LJmpoaXV3d2bNnQ/cfP35MVQnGGMfHx5PpkeHDhy9btoxMbogqLEqglVwvaoJvLAmnoqKiCgoKmsaSffr0iYqK+lrfxPjcmJtB1L0E+refPn0yMjKSl5cnSFIRoNMdCoF2YEkNDY0DBw4QFOrr683NzbW0tKgrxeRskxNhYWGSkpJEq37ZsmWHDx8GYWiEUGZmJrG8Z8+erl27wsdPnz4ZGBh8+vSJuioKp6ZOnUqmwFxdXcnu69u3byOEQFhZQ0Nj5syZMPZRVlbeuXMnEM0vv/wC+aRRasLZ2Zn6FJmVlaWqqqqurk42fs+ePRshRNWoqqiomDBhAvTul19+QQiRnsbExDAYDCMjI2oX3N3dEUInTpygtiuY9vb2lpOTwxi/fftWTk4Ops8aGhoGDBjQt2/fJ0+e1NTUREdH79y5k9Q9deoU1bKowmZmZkIFWokdkuByuQoKClSJcPDn559/BgVNhBBZ2poyZcrSpUuhLkjmAuBqamp79+6F/OfPn48aNYrD4Xytb2J8bszNIOpesrCwAJWnoqIiCQmJdhSwI5jTCfEItClLnjx5cvny5QihJUuWwDzXli1bFi1atGvXrurqavGONuHswYMHx44dGxYWtnfvXldXVy6Xm56ePm/ePITQunXr4LE0Pj4edGsPHTpUX1+fmpr6ww8/gGxply5dtLW1WSwWbDDs2rVrz549o6OjU1JSQJw2JCSkuLh4yZIlCKFNmzbV1NSAMqq2tvaBAwdWrlzZtWvX4ODgs2fP9ujRo1u3bmCKryOBgYHa2toIoeHDh69Zs2b+/PnDhg1bs2YN8Dibzfbw8JCXlwddSVNT03Xr1hkbGyspKQ0YMABj7Onp2b17d4TQokWLyLq2vb09QsjIyAjkMUJDQ3V0dBBCo0ePPnPmDJ8D5OOTJ08mTJiAEAoKCiorKwPyXbt2bWpq6uPHj9XV1RFC0tLSlpaWZMIU1DjU1dWpl09oYVECraR1SHz8+HHTpk0Ioc6dO8+aNcvc3NzU1NTAwKBTp05r164tKSmxtrZGCJmamubm5l6+fLlr1669e/e+du1aWlratGnTEEK+vr51dXX29vba2tru7u6+vr4bNmwgM4Bf5Zson8PDwxtzM4i6l1avXr1u3bo7d+7Y2dkdPHiQDwH6YwdEoE1Zsu37z+Vys7KyqDN64n149+6dj49Pfn5+UlJSfHz8iRMnvnajO6wFY4y5XC75copv9Fs5m52dTZW6BLfT09M3bdok2AWhhYUKtArWbamcnJwcKn0Ts1/lW5N9FnUvNTQ0wG1JXgQgjtGJjonAd86SXwu6trY2nzwZ32uUX2vwOy4PBGRvby/0ZcfvuOON7Bp9LzUSqI5fjGbJf1yj0aNHa2ho2NjYBAQE/PHHH9u3bxdcL/5Hhf/qh5SUFAkJiR9++MHOzu6/isG/9Ju+l/4FoG/nNM2S/7hWNTU1ERER9vb2np6eZAPjPyrKBW0AACAASURBVErQH74gwOPx/Pz8AgICqGtENDZUBOh7iYrGN52mWfKbvny08zQCNAKtjgDNkq0OMd0AjQCNwDeNAM2S3/Tlo52nEaARaHUEaJZsdYjpBmgEaAS+aQTanyUbGhrgrZhvGkeMMfV1RsG+UENVCp5tqRz2l6OlrFHtNNl/MS4RmyRBbZFO0wh0EATanyUPHjzYt2/f1oOjoKBg1apVfPZfvHixevVqJpM5adIkExOTpUuXbt68mUT/xhg/ePBg+fLlTCZTT0/P1NTUzMzMxMRk+vTpTCbz8+fP8M7J1q1bhw4dumrVKhMTEwsLi3PnzvG1AnEV9+/fP2DAgNZ+yyIvL2/9+vVKSkrJycmCbjQnp8kyMqJcomVkmnM56Lptj0A7s2ReXt6oUaOkpaXFD8Sag4uLi4ukpGRGRgafkWfPniGELC0t4T2ZU6dOSUpKUkN8wwvaVEWwhoaGhQsXZmVlYYx37949adIk2Afz8ePHkSNHkuhefA2x2WwZGZnWZkmM8a1btxBCLc6SzZGREeUSLSPDd5PQHzsyAu3Mkrt27Tpz5gxCCAZoLY4Um83W19fv3Lnz77//zmf806dPCCFra2uSP336dAaDQWJMpKWlIYQcHR1JAYjyAnpbY8aMIeF/MMbv37+n8im1Csa4R48ebcCSgpEu+dxo8ke+QGSNtyPGJVpGpvEw0iXbF4H2ZMmEhITY2Fj4IhFt1ZaF49y5c4GBgWvWrFFUVOR7B1mQJWfMmIEQAhKEKGR8LJmamgqqLxhjQ0PDTp06kaDZGOOHDx+Kcp6w5OPHj0Euhoz4bt++7e3tDUFueDzehQsXoAC8A/7w4UMWi/X+/XuwnJSU5OfnFxUVRZ3IKysri4qKCgwMvHbtmvixpGD14uLi06dPY4wfPXrk7+8PEhSZmZlBQUHUQLxfKyMjyqVmyshUVFScOHEiICAgMTGRupudlpERdePR+S2CQLuxJIfDgWFaZmYmVRigRXpFjBgZGVVVVSUmJiKEfHx8SD7GmI8l4+LiZGRkFi1aRMrwjSVramosLS2J2OyDBw8UFRURQiQQFqkomCAs+fLlS319fcJ6VlZWCQkJL1++1NDQsLCwALZiMBj79+8HI5WVlWPGjIEYPN7e3uHh4WlpaQsWLBgxYgQEUX///v2MGTPevXuXlpZmZGQkhiUFq6empurp6cnKyh46dOjgwYPGxsa9e/c+fvz43r17vby8ZGVlT506BW58lYyMKJeaKSNTWFg4ZMiQpKSkZ8+eycnJaWtr//bbbxhjWkZG8H6jc1oWgXZjyWPHjkFIxLq6OoRQaGio0I55eHgIlbuBTBsbG6G1IPPVq1dbtmyB9Lhx4wYNGkQdgABLDhs2zMTE5Oeff2YymX5+flS1GWBJHR0diP47fvx4GRkZwpIY4/T09NGjRyOE1NTUxKs/Aks+evRo165dJOzY8ePHt2zZUvflgJBrAMicOXOYTCa4ffHixePHj4MkGZPJhMIwYQr5U6dOjYyMhMJxcXGiWDI5OVlo9dDQUIQQTDLk5uYihDw9PcHa1KlTiYLFV8nIiHKpmTIyu3fvJvKzRkZG06ZNAz9pGRnAgf7begi0D0sWFhaampr++b+jS5curq6uLd7J9evXR0VFvfhyODk5UVWlyFhy8+bNb968kZOT09PTI/wFnvCNJTHGHh4eVJbEGLPZbFdX186dO0tJSRHxa8GO9OjRY+bMmeRLDgUWLVpkbGxM1ZMBcdqEhASE0L179zDGZmZmMFHg5+c3fPhwauGbN2/CMJwoa4uZBBRaHWN88uRJqtK3pKRkWFgYuGdqaqqvrw9p6rykeBkZMS41U0Zm27ZtWlpa4I+bmxsJ00vLyAAm9N/WQ6B9WHLv3r3x8fF3/ncMGDBAaIzC5nS7pKRk/PjxLpSja9euenp6xCb1iRtUcTZu3EjOCp2XLC8vr6qqwhgXFxdTI4ffunVLRkZGR0eHWp2a7tGjx9q1a+Xk5Kg7Q0eOHLljxw5qMZJmMpnz5s2rqKiwsrKCzK1bt5IBJikGK8iNYUmh1QVZUkpKirCkmZnZ1KlToS0qS2KMxcjIiHKp+TIyL1++7N69e2xsLIfDWbhwYXh4OMGBlpEhUNCJ1kCgHVjy4cOH1JUBjLG+vj51QpDazz/++EOo3A1kkgdqahVI79u37+zZs9R8EJN5/vw5ZFJZEmMMIbKpurWCY0mo6OPj8+DBA39/f6pxAwODbt26UXOoaXjiPnHihLS0NAwSMcazZs0iAyLYgEk2bF68eJHBYOzYsePu3btgx93dvXPnztS4rdeuXXv+/DlVHkfMWFJo9SazpBgZGdCWuXjxIrhNdan5MjIhISHW1tYHDx7866+/CLy0jAyBgk60EgJtzZKfP38mSlKkSyYmJuPHjycfm5+oqKjo168fdbiHMYYNkkuWLAH7r169QgiR3TwNDQ1MJrNTp07379+HAk+ePEEIEelkyDx37pypqennz5+7d+9OQk9yudyhQ4euWLFClOdKSkog9bNmzZoffvgB1BpAp2XHjh0lJSUfPnxYv3492dTJ4/G0tbU1NDTINtLk5GRJScmZM2dmZGQUFRW5ubmxWCw2m62pqTl69GgY4cLjM2FhqjNCq2OMYV4Spho4HI6EhERAQABUNDExmTx5MqQbLyMjxqVmysjExcWZm5tTfyfAN7J6RsvIUK84nW5BBNqUJd3c3HR1ddXV1claR3V1tYODw8CBA7t3775jx44WUUoqLCxcsmRJp06dqAPDysrKAwcOgKDN3r17X758aWxsjBBSUVHx8vKCVZ2cnBwVFRVFRUUfH5/Hjx8bGhoihHr16rVgwQILC4uVK1f+9NNPRAlLS0tr2rRpLi4uwcHBRkZGc+fOJdKs1MtTU1Pj5eWFEJo6derLly+fPXvGYDD69u0bFhbG4XCsrKwkJCQYDMagQYP42O3AgQP79u2jmgoJCZGTk0MIKSkpBQYGwqnExMSBAweqqqrOmzfPzs5OWVl548aNQnXWBKu/f/9++vTpCKGDBw9WVFT88ccfCKGJEye+fv06ISFBXV29e/fuINP4VTIyolxqpozM+fPnZWRkEEISEhJdu3adMGFCUlISxpiWkaHeJHS6NRBoU5ZsjQ60l03Yz1hXV/fy5cv8/Pwmu1FVVZWVlUXGjMSOhYXFx48fyUdIsNnsjIwM6kI85Ofk5NTX19fW1vItQDWyOl8xUR+/SkZGlEtNlpG5ePHi1atXs7Oznz9/fv369aNHj8KkLS0jI+p60fkthQDNki2FZMvYafhy5ObmUtVcW8b0t2wlOzu7V69e1N+SmpqaI0eOfMt9on3/ZhCgWbJjXaqVK1fKysr269fvO9NfbCbK2dnZ3bp1mzhxopOTU2Bg4K5du/bu3Qv76ptpma5OI/CvCNAs+a8QtWmB169f79mzh0/HsU096KiN5efn+/j47Nix4+jRo7Cu3VE9pf363hCgWfJ7u6J0f2gEaARaFgGaJVsWT9oajQCNwPeGAM2S39sVpftDI0Aj0LIItClLlpeX5+XlFRYW5uXlQYSFioqK3NxcyCEbhgsKCj59OSoqKlq2t61kjRrHrDFNcDgcwd08janY+DJ1dXX04kbj4RJVUgyGPB6vrq5OVMW2yf/aG6/JXomR5WiyzW+oYpuy5IsXL+bPn48QsrKyevToEcY4KSlpxYoVCKGVK1eSbdWnTp3q3r27sbHx06dPOziUKSkpS5cu7dq1ayP9TElJMTc3V1JSevbsWSOrfG0xNpvt6OgYEBDQq1cvEuDna43Q5THGWVlZ0tLSV69e5UOjvr7e0dFRVVX1ypUrfKfa7GNkZORPP/20fPny1m5RlCxHa7fboey3KUtijGNiYhBChYWFBAWI9wXxXyGTzWbv3r2bFOjgCU9PTykpqcY7+fDhQ4RQ67Gkl5cXBF68f//+9evXG+8YXZIPATab7eXlRY2iT2IwZ2dnI4TakSUxxhMmTCCh7fg8b9mPomQ5WraVjmytrVny/v37CKF3794RUODFQeqw8cSJE9Rbk5TsmIng4OCvYsnk5ORWZckZM2bwqVB0TNy+Oa9evXo1f/58cLusrKzdWdLQ0LBtWJIasuSbu2ot4nBbs+S7d+9I8ESMcV5enqenJzVWeXFxMTUoVot08sGDByCTAEHCk5OTWSwWCbeTmJh45MiR06dP823kzsnJCQ4ODggIyMnJIW4kJiYePXo0PDycCD8AS7LZ7Fu3bgUGBkLEihcvXrBYrPj4eJhVgNbhbXE+luRyudevX/f3979w4QKHw4GGsrKy7t27l5+fHxQUlJKSAtUvXrwIs5mXLl1isViCr42Xl5ezWKyBAwcuXLiQxWLBpsunT5++f//+9evXx48fh3dXysrKzp8/7+vrm5CQQPpVV1d35cqV/Pz89PT0I0eOPHjwAGNcVlZ29uzZoKAgMRNwVVVVZ86c8ff3JxMmxCZf4vnz576+vidPnqRKa2RmZoaHhx87doz6w0ntPgSpi46OrqmpSUhI8PX1BfGPurq68+fPs1isgoICLpcLEJF9pllZWaGhoWfPnhU1Zr9y5QqLxbpw4QKPx7t48SJUhxsA4IVr8eLFC7CZkZHRp0+foUOHslisjIwMwpLJyclHjhyBt935+osxrqysBMsJCQklJSWQPn/+PJvNhot1+/ZtqCX0opSXl1++fLm2tjYiIuLNmzdQ8tmzZ76+vnfv3qWy5L/2FyTwBO+0goKC8+fPY4xjY2P9/f2pEQBEyXIIdvO7z2lrliwoKEAIRUdHA7I+Pj41NTUIISIe4OPj0+IrG6WlpYMGDSLxH3k8HpPJzM7OxhhbWVm5u7tXV1dfuHChd+/eJJJuVFTU1q1bi4qKTp06JSsrm5iYCFF4Fy1axGazg4KCBg8eDF0IDg6WlJTcsmXL2rVrhwwZoqCgcP/+fVAlg7C7HA7HwcEBIQRcw8eSs2fP9vLyamhoMDMzA0HH8PDwzp07L1y40MrKqlevXqdOnXJ3d0cIkXBhV69epWo9knu0trb22bNngwYNWrly5bNnz1JTU3///XeE0O+//758+XJZWdmcnJzExEQDA4OUlJT8/Py5X476+vry8vKNGzcihOzs7FxcXOzs7CQlJQMCAnbu3BkQEKCpqbl+/XrSCjXx+fNndXX158+fl5WVDR069MyZM9Sz1PS2bduCgoIqKyutrKwGDhwIQYzCwsJMTExKS0tfvXqloaEB0T34uu/j42NgYIAQsrGx2bBhw5QpU6SkpOCLDTHb//zzT4xxYWFh165dIV5nRkbG1KlTq6qqcnJyqLHpqP5cvnwZIQSaP4mJiZKSknv37oUCUVFRtra2FRUVjo6OCCEILJKbm2tsbPzTTz89e/YMXkVHCP3666/btm1zcHBgMBhRUVFU+yRtY2ODEIJHdW9vb4QQ+Xm2srKCZ3ahF+XBgwcDBw7U0tJycnIaMWIEXIKdO3e6urpWVFSEh4crKCjAWLIx/cUYC95pycnJI0eOVFVVdXR0dHZ21tbW/umnn8BzUbIcpF//qURbsySbzWYwGMHBwRjjxMRECFMmJycHojRJSUkkXJDQy3D58mUxAg+rV68W9ageFhYmKSkJo8KioiKQgjh79qyGhgZpaPv27SoqKmVlZVlZWdra2kDWHA5n1qxZMFiYM2eOh4cHxhi4HqwFBwcTHYXKykoNDY2ff/4ZY2xpaUmCk7NYLKEsWV9f37NnT6C/qKioQYMGgTM///wzfL0h+FtNTY2KigoJ2WttbU2dxiX+Q0JXV9fW1hbSVVVVCCF4Jby+vp7L5erq6kZERMDZkpKSzp07g8ZORkYGNZa7pqbmvHnzoNiePXt69+4Nab6/Dx8+7NWrFywEW1lZCcbEg/IXLlxYvHgxpNPT08eNG5efn5+VlQXEDfnXrl1jMBhwP/B1H+ayYVTI5XInTpw4YMAAEm0eWBJjrKurCxCdOnVq4sSJMBiEO43Pbfg4dOhQEp/UyMjol19+gXx7e3sQE+bxeJ06dSLhl8zNzUlYYhhLHj16FKr8+OOPJAQfX1t5eXlSUlIQcLOhoUFZWZnoL61cuZLH44m5KLa2tnJyciUlJTwer6Gh4c6dO0OGDCH2J02aBCzZmP6KutNcXV0VFBRgdB8ZGYkQgtAtomQ5SOv/qURbsyTGWFFR0d3dHWPs6+sLWPft23fPnj0Y49Zbk21oaOjduzeMF3x8fOCpzcTExNDQkFxvmH+5fv16YGDg3LlzST5f4v379x4eHggh+ErzzUvu27ePwWBUVVU1hiWJ5Tt37pibm5P5zYkTJ8K4khRwdnZWUlKqrKzkcDhLly4l+YIJKktyOByEEBHGSU1NRQjB7gKoaGhoCCHQP378iBAijGNgYGBmZgZlQkNDJSQkBBsiOfX19VFRUVOmTCFaNOQUJJYtWyYotBsUFNS5c2dSksvldunSBWiOr/vXr19HCJGHQYjLWVhYCHGUic+EJfPz87t06TJx4kQScZm0Qk14eXkpKyvD75C+vr6MjExJSQmbzaZyvby8vBiWJKs3CxcuFHPDGBsbGxkZQYh7FRWVMWPGYIxfv34Nv7hiLoqjoyN5ZAF5j1WrVpEukCfuRvYXKvLdaQcPHuzRowecIvOPYmQ5SOv/qUQ7sOTAgQPt7OwuXboEv9gY4xEjRmzatOnatWvUyakWvwy7du3q27cvh8MhBDRt2rTRo0eThvLy8hBCZ86csbGxmTJlCsknidzcXAsLi5MnT8JYUihLnj59msFgVFZWNpIlHz16tHbt2vv377NYLDEsWVxcLCcn5+npeevWLSK6QByjJsSwJCydkVkFjLGFhYW2tjbGmI8lp02bRlgyLCwMIZH3SWhoqLW1dUZGxsaNG0Wx5KhRowQ3Lbi4uCCEqqurifNaWlq//vorxlg8SwJpFhcXi2JJmAseMmSIhISEGD2loqIiGRmZc+fOJSQk+Pj49OvXLyAggMVikekgjHEjWXLRokViWPLKlSuSkpJ5eXn79u27cOECg8F4+/atjY1NQUEBxljMReFjyQkTJghlyUb2V+idJpQlRclykCv1X0uIvPtbD4jRo0evWLECJAChFVB04NNIEOpATEyMGIGHFStWUPcY8Vn4+PGjlJTUvn37QkJC4NTGjRsVFBTI1lz4VX/79q2np2eXLl2oizmvXr3icDgaGhrgdlFRkaix5LFjx+CxyNLScsKECdDQ2bNnhT5xp6SkyMjIgHSieJbEGG/ZsqVfv35WVlYwqcfXO/JRDEt+/vyZKmOLMTYxMYHg7U1jyfDwcHV1dViVEsOS8+bNg1kIcLK2tjY1NRVmIchkK8ZYVVUVgqGJZ8mTJ0+qqamRJ26QMscY6+jowFAUYmHU1dXBxCK1CYISJJYtWzZr1qy1a9fW1NQ4OTkxmczVq1eTNTRBliS/nWT1BuyIZ0kOh6Oqqrpnz561a9dijCdPnrxp0yYQFsYYi7kofCxpbGw8fPhw0gUylmxMf0XdaUJZsvFKIcSZ7zvRDixpaGjYv39/6iBi8eLFvXv3Fly0bXHoFy5cqKSkRFjm/fv3nTp1IkvqgYGBCxYswBhnZmZ27tx50qRJb9++zc/Pd3V1TUtLAx6BsQkMZ27evMnj8WD1hoQ+nD9//oULFzDGO3fu7NatW0VFBZfLXbduHZnCByWJhw8fEtmZBw8ecLncnTt3MhiM+vp6Ho83duxYMpQjIGRnZ0tKSlKfB8kpaqJfv37kG1hbW4sQoo49zczMtLS0YMqVzWarq6v//fffGGOYlySMM2XKFPJcD0+4pIPUtmCHfHV1dU1Njb6+/vjx44UWgwmv3377LS8vLzk5eefOnfVfDi0trTVr1oDBd+/e9e3bFy4NX/cBbRCYxBgvXLgQflBra2slJCRgzefNmzddunSBjgcGBpLle11d3ZiYGKrP1HRcXJyEhISLiwsgICEh4eTkRAqw2WxpaWkyC+To6Dhw4ECMcWlpaX5+PkKIrNjMmjVL1DgarO3atUtKSgq8Cg8PZzAYROMIHqWFXpTt27f379+f+AODelBzamho0NHRMTAwwBg3pr+g9iF4p7m6uiorK0MTsBr25s0bMbIcxJn/VKIdWNLExATWFgnQv/76a2MGkqR8kxN37twhE/Zg5MaNG8OGDTt8+HBgYKClpSV5S/LChQvdunVDCCkrK8PUO4/H09fXZzAY48ePv3z5cv/+/QcNGvTgwYO3b9+OGDFi6dKlx44ds7W1JWsjqampvXv37t69++zZs48fP66iomJvb5+enr569WrQ28nIyMjLy+vTp4+srOy8efMuX74sKSk5ZcoUf3//Ll26/PDDD2Tdn/R3zpw5YjbcVFZWHj58GCHUv3//kydPlpeX29vbg0gDYY3KykozM7MFCxacPn16w4YNly9fxhiXlJRYW1sjhExNTXNzcy9fvty1a9fevXtfu3YtLS1t2rRpCCFfX1/B/UA3btyQkZHp1avXr7/+6uXlJSkpCY/MxGGS2Llzp7S0NEJIV1eXzKukpaVNnDjx999/P3ny5Jo1a5KTkzHGERERfN0Hlly1apWnp+fmzZudnJwIF9va2iKEhg4d6unpqaenN3ny5KdPnwYGBk6dOvXGjRvHjx9ftmwZdWxI/IEEj8cbN24c2dS1YMEC2PkAmIBI+rhx42CHQ0JCgoSEhL6+flxc3LZt2xBChoaGmZmZsbGxyl8Osq2HrxV4jQcYDWNcXV09ZcoU0gXYMCR4Ue7duzdkyBBQSIfbksvlbtmypVOnTpMmTbKwsBg/fvyECROio6Mb01+hd9qjR4/GjBmDEAoJCSkuLl6yZAlCaNOmTTU1NaJkOQS79l/IaQeWJIMCgm9KSgo8tZGc1kuQ52tqEx8/fhR8Y5fL5WZmZlI1ErhcLlFfqK6uJpSKMa6pqSFfMGK5rq4OytfW1or6rtbW1ubm5kKVoqIiPkUzYgpjzOPxyLozNb8J6draWuom0CZYIFVKvhzwMT8/n/rlJ2UgIarRkpISsjLDVwU+AksWFhZmZWUJ4pOXlwfv+5NHBBgpQ3AAoQapmdT7gZqmliHp/Px8wZ8KclZ8gmqcmia1ROFDCkCiuroa9hWRKAeN7G/j7zTSoihZDlLgP5JoB5b8jyDbgt0EBo+OjiYKri1ovOObApYUz6Qdvxe0h98uAjRLfgPXTk1NTVlZedKkSd+Ar63gIsjhinqLphUapE3SCPwDAZol/wFHx/wQGxvr4uJCps86ppOt5FVKSoqjo6Otra2zs/OrV69aqRXaLI2AGARolhQDDn2KRoBGgEYA0yxJ3wQ0AjQCNALiEKBZUhw69DkaARoBGgGaJel7gEaARoBGQBwC3zlLCt2YJg4P+hyNAI0AjcA/EfhuWfLp06ezZ8/u16/fP/tLf6IRoBGgEfg6BL5blsQYOzg4iAqM+HUg0aVpBGgE/sMIfM8s6ebmRrPkf/jeprtOI9AyCLQ/Sz5+/Bj0QIqKiiDMItFsefjwIYvFgghmXC73xo0bhw8fvnTpEnW2UVDXJTMzMygoKDIy0sXFRQxLCpUKSUpK8vPzi4qKIk2IEQZ5+vRpaGjopUuXUlNTydW4ffu2t7c3Ca6DMa6qqoqIiDh9+nR8fDy8cksK0wkaARqBjo9A+7NkXl6evLw8xLwqKytTV1c3MDCA4BcFBQVjx47lcrklJSXTpk27ceNGZWXl7t27Bw8e/OHDh+rqakFdl+jo6BUrVhQXF9+7d09bW1sUSwqVCvH29g4PD09LS1uwYMGIESNqamrECIOwWKwNGzZwOJxLly5t2LABrrSVlVVCQsLLly81NDSgR1wul8lkpqen19bWjh8/Xkz4y45/r9Ae0gj8NxFof5bEGG/YsOHHH3+EC3Do0KGePXtCBJ1r166dPHkSClDjKo4dO3b69OkwTKPqupSUlKioqJAQO7t27RLFkoJSIcnJyUwms+7LAYH2IOCuKGGQ9evX29vbg88grnL8+PEtW7aABQi6lZ6enpubq6CgAGo8V69eJYLO/827je41jcC3iECHYEmIjQxR/Hbu3CkjI3P16lXQG4AnX1VVVTc3N4Kvm5ubhIREdXU1n65LWFhY3759qcWAJRsaGl787wDFTkGpED8/v+HDh++hHKBTJjSYM8b40qVLDAZj7dq1JKT5okWLjI2NKQb2QIy4UaNGqaurg+wf8Y1O0AjQCHwrCHQIlsQY//zzz7/99ltFRcX69etNTEyWLl2an5+/bds2iKsoLS0NaYD19OnTIPbGx5IODg5CWTI3N3fw/w4SlD8pKYkqjbJ161bQyeK7cqJYEmN8/vx5pS8HKCyOHDmSyBxSjZSWlhobGyOEFi5cSI3QTi1Dp2kEaAQ6LAIdhSUDAwO7deu2f//+p0+f3r59u3Pnzra2tiDoASKi8IgNOAYFBfXs2RNjzMeSEC6bBCIUs8YtKBXi7u7euXNnamDda9euYYxFsSRY+PTpk5GRkby8fF1d3axZs6jqzw0NDXFxccXFxSACFRUVJS8vD7KuHfZuoB2jEaAREESgo7BkRUWFnJzcjBkzYPA4aNCgyZMnE3dBTRtUtDDGy5YtO3z4MMaYT9clNTVVWlqarKWYm5vLysoKRrcWKhWSnJwsKSk5c+bMjIyMoqIiNzc3FouFMRYqDAKzAaBiXFRUJCEhUVpaCvowO3bsKCkp+fDhw/r16zMyMpKTk52dnaEjGzdu3Lp1K+kUnaARoBH4JhDoKCyJMba0tCTayu7u7qCCREA8ePDg2LFjw8LC9u7d6+rqyuVyq6qqBHVdIiIi5OXldXV1ly5damJioqmp+ccffxAjJCFUKiQkJEROTg4hpKSkBCrMKSkpooRBVq9evW7dujt37tjZ2YHYNIfDsbKykpCQYDAYgwYNAoGa5OTkgQMHnjp16vLly3PnziUrS8QTOkEjQCPQ/XvMOAAAIABJREFUwRHoQCxJtihijIWqi4DsjCgBGQI0m80GtRkY65F8akKUVAibzc7IyGjMrsaGhgbwh/qQDsvuRBsH5gS4XG5lZWVGRkabaftQe0qnaQRoBJqJQAdiyWb2hK5OI0AjQCPQGgjQLNkaqNI2aQRoBL4fBGiW/H6uJd0TGgEagdZAgGbJ1kCVtkkjQCPw/SBAs+T3cy3pntAI0Ai0BgI0S7YGqrRNGgEage8HgXZgSdhAk5mZSd6ABjjz8vI+fTm+rcA5HA6nMTuHmn/LUHdKNd8ascDlcoVuvCcFxCREucT+ckDFmpoaMRboUzQCHR+BdmDJqqqqgIAAbW1tKSmp7OxsglFwcHD//v2nT58eGRlJMjtyIisry8rKqnv37s+ePWtVP1tJnaK8vNzW1rZXr17379//Wv9FuZSXl7d+/XolJaXk5GSMcVZWlrS0NMQu+dom6PI0Ah0EgXZgSej53r17e/fuvXPnTioQu3btYrPZ1JwOnr537x5CqLVZsvXUKf7++2+EUBNYUoxLt27dQggBS7LZbC8vLwgc18EvJe0ejYAoBNqHJVNSUlgs1u7du1VUVKiv2Xh4eIhytGPmJyUltQ1Lionc0Rxk0tLSmsySolx69OgRYcnm+EbXpRHoIAi0D0sGBwcXFhbm5eVJS0ufOHECsEhPTz937lzL4iJGj+HTp0+hoaHBwcEQGTc9PR2EJd69e/f+/XtI3759G2OclpZGRCb43KOy5JUrV1gs1oULF2DoVFdXd+7cOV9f31evXmGMP3/+DDYvXrwI85iXLl1isVglJSVgU1AKAmPcSHUKjLFg9bS0tGvXrnG53JiYmJCQEGjo2bNnfn5+EMoTugYsmZiY6O/v/+TJE2oHBW2KcamsrCwqKiowMPDatWtUlnzx4sXr16/B7Lt37+Lj40Hi4sSJE9SXTTMzMwMCAiIiIj58+EB84PF4ly9fDg8Pj4uLy8/PJ/l0gkagLRFoH5YkESiWLl06evRo6HBoaGjLrtuI0WO4f/++vb19Wlra/v37lZWVX79+zWazx44dO3jwYB6Px+FwFi1aJCcnBysPXC53zJgxEACN79pQWdLX13fDhg2lpaUY46KiojVr1rx9+/bGjRsyMjIREREYY3d3d4TQX3/9BUauXr26efNmSAtKQWCMG6lOgTEWrH737l01NbVRo0Y5Ozt7e3vr6uoaGhp6enp6eHhYW1t36tQJAizBWNLc3HzZsmX6+voMBsPb27sJLr1//37GjBnv3r1LS0szMjIClqyoqHB0dEQIQeiQ69evd+vWzcDAwMbGxsHBQUlJ6ffff4e27t69O2nSpE+fPh09ehQhNHnyZD8/P4zxpk2bTp8+jTG2sbHhi34CFem/NAJtgEA7s2RCQgJC6PHjx0Aiojqcmpq6atWqlaIPUTNrQvUY2Gy2jo5Obm5uXV1daWmpvLz86tWrMcZnz56VlpYGNkxMTEQIwTCwrKyMRGPj85CwZGhoKBkUY4xXr159/vx5UHfQ19cHWfCamhoVFRUSqdfa2jotLQ1jLFQKovHqFEKrY4xNTU1HjhwJDp86dQoh9Pfff2OMGxoaOnXqBMwFLHn06FEotnz5cllZ2cLCQqE2xbg0depUsuYWFxdHxpI8Ho+0hTGeMWOGvr4+j8eDEFDa2trQ7pQpUxwdHTHGXC5XSUnJxcUF8jU1NSHCcWFh4aVLlyCT/ksj0MYItANLpqWlUZ+sf/zxx1WrVolnySaDIjSGblJSkqKiIlV64dixYxjj+vp6FRWVQ4cOYYyvXbvWpUsXOzs7jLGfnx/foyjxB1hywYIFNjY2JBNj3KNHjy1btlCbgKdsZ2dnJSWlyspKDoezdOlSqCJUCkKUOgW1FTHVMcbm5uYTJ06EMrDKlJmZCR/V1dUh6iXfvCQUu3r16le5lJmZiRAiT8p885Ly8vLAyBjjuXPnLlq0CHygTmuOHj0axNQwxoaGhkRQyMbGRk5Ozs3Nrcl7laAt+i+NQHMQaAeWDAkJoT69Hjt2TEZG5q+//oKot83pjGBdoSwZExMjKSlZVVUlWN7W1nbo0KEY41WrVvn7+/fp04fD4QCJCxbGGANLbt68WUZGhjBpeXk5Quj69euCVYqLi+Xk5Dw9PW/duhUWFgYFhEpBiFKnELQptDofS96/fx8hRFiyf//+e/bsoc5Lgtm8vDyEUGxsrFCbolyCRe3msGRYWFjPnj2zs7MrKioGDx5MYtRzudxdu3ZJSEgMHTqUxGAWRIDOoRFoVQTagSWpOl8Y4+rqaiUlJR0dHTH7RVJSUpYvX75M9AEhbwWREsqSjx8/RgjBoxxUiY+Ph6X25ORkhNCRI0cOHDgA4dMdHR0DAgIELUMOeeJeu3Zt3759ybxqly5dyIAIY5ydnQ2qZBjjLVu29OvXz8rKitC0UCmIxqtTCK3eNJZMSUmRlJTMy8sTalOUSyDudvHiRcCkCWNJmHl0cnLy8vLKyMggaANdPn/+XEtLiyrpQQrQCRqBNkCgrVmyqqqKTMyR7tnY2AwbNox8bMGEUD2GhoaGAQMG9O3b98mTJzU1NdHR0dRtm5MmTerRo0dFRQXGeM2aNfLy8uXl5aJcevHiBULo6dOn1dXVQ4cO1dPTA7Y1MTGRlpaOjIysra198uTJypUryXpudna2pKQkVThXqBRE49UphFaHeckJEyaA5/Hx8Qihd+/ewUdVVVUnJycylrx79y7ke3t7w4KSUJuiXGKz2ZqamqNHjwbeP3nyJEIIfrfYbLa0tLSnpyfYnzFjxsKFCyHt5OSkoqICaWdn56NHjwq+pbNixQoowGKxyBwr5NB/aQTaDIE2ZUkvLy+QXeXbF5mWlrZr164W77MYPYbHjx+rq6sjhKSlpS0tLalb2SMjI2ElAWP8+PFjUes2MEJct24dQmjjxo25ubmenp4IoUmTJt25c6egoGDKlCkIIQaDoaenxyfkMGfOHOrgV6gUBMa4keoUQqvHx8erq6srKirGxsbm5+evWLECIbR+/frCwsKwsDAGgzF27NikpKTa2trZs2dPnDjR39/f1dV1165dMH8q1KYYlxITEwcOHKiqqjpv3jw7OztlZeWNGzempaWBLvm4ceMSExPj4uK6d++upqZ29+7dN2/e/PjjjwghWP23tbVFXw4pKSllZeVFixZBnHkNDQ13d/e4uLjly5fDrqwWv0logzQC/4pAm7Lkv3rTxgWys7OFqj5QN7qLelW5Ma4Wfjn4SvJ4vHnz5vFlCkpBQIHGqFNAyaqqKqqShKB9MTkcDiczM5P6UyHGphiXcnJy6uvra2trBU2JaZ3H4x04cODt27cfPnx48uRJTEzM/v37fX19YTm+vr4+PT2dekXEmKJP0Qi0BgL/aZZsDUDF2IQnyujoaDKFJ6bwf+fU6dOnyWM49Do5OfnKlSv/HQTonnZwBGiWbLsLpKampqysPGnSpLZr8ltoKSYmRkpKavHixe7u7v7+/tu3b4eNWd+C77SP/wkEaJZsu8scGxvr4uJSXFzcdk1+Iy29evXK1dXVwcEhIiKCukvsG3GfdvM7R4Bmye/8AtPdoxGgEWgmAjRLNhNAujqNAI3Ad44AzZLf+QWmu0cjQCPQTARolmwmgHR1GgEage8cgXZgyfLy8idPnrT9JD2Xy+V8OSAmTbtf2JycnIIvR05ODjjz8eNHvpza2tqPHz8WFhby7UsXdJ70jrzkI1iGzqERoBFoAgJtzZLu7u4MBsPHx6dHjx5HjhxpgsdNrnLs2DF4wYOEmWiyqeZXZLPZgYGBcnJygwcP9vLyqq+v5/F4ISEh3bt379ev36FDh+Btv6ysrCVLlvTp02ffvn1cLldMuw8ePJg6dSpCSEpKSkwx+hSNAI3A1yLQpiyZnZ3NYDAUFBTKysoYDIaBgcHXutvM8r1790YIdQSWhI6MHDmS7w3ISZMmrVy5ktrN06dPJyUlUXNEpS9fvkyzpChw6HwagSYj0KYsefXqVYRQjx49MMZ37twhgbya7P3XVlRTU2sDlnz+/LmdnR0JYLRp0yZRfk6bNo1EmcQYl5WVqaqqzpkzh5Svrq4mwRlJpqjE9evXaZYUBQ6dTyPQZATajiXT0tIWL16MEOrSpcuePXsgKFZpaekff/xhZ2e3e/duCJnF4XCcnZ0hfm1VVZWHh8eGDRtAuTslJcXR0dHW1vbo0aNkbvHZs2f29vbr16+3srK6efMmFYjTp0/v3LnTzMwsJiYG8glLslisVatWOTo6Quwfai1qWtTkKRGroRaGtIuLy9atW8lUo2ABas7SpUupA2p/f//Vq1czmUxS5ujRoyTAGsnkS1y+fHnNmjU7d+48d+4cH0u+e/fO0dFx27Zthw4dqq6u5qtIf6QRoBFoDAJtx5JlZWX79u1DCCkqKj569Ki4uDgrK6tfv36//PILxtje3l5RURE0YWBMhBBasWJFjx49EEIeHh5Pnz5VUFBwcXHhcDgDBgyAB9WEhAQpKamrV6+y2eyZM2cihIKCgjDGPB7P2Ni4f//+NTU1NjY2CCHQAwCWnDhxorW1tY6ODkJo7dq1QmGqrKx0d3ffv38/mTx1cHCAEAzHjh0bMGCA0FqRkZE+Pj5CTwnNtLKyGjFiBJxKSUm5evXqjh07NDU1ISc7O/tfIxMHBgZCIKKYmBg9PT0qS169elVWVhb8GT9+vLa2Nv3aj9CrQGfSCIhHoO1YEmMcGRlJnrgxxr/88gtCCEROYBwEccIhFC5CiMViffjwYePGjR8+fNDX10cIQRAEQ0NDSUnJgoICDw8PhBAEOtu/fz9CCGK1BgcHI4Rggu/cuXMSEhKgLQUsCcpThw8fRggNGjRIKEB+fn6lpaX79+8nSgNDhw6Ni4uD52IdHR2htebPny80X1Smo6OjmpoanAVZrgMHDnTv3h1yvLy8yJBZqIXq6mplZWWE0IULFzDG1HnJ2tpaVVVVoiL722+/IYR+++03oXboTBoBGgExCLQbS/J4PDk5OYRQcHAwxvivv/6CBeicnBzCkllZWeA6l8vt3LkzQmjhwoWWlpaDBg1CCN26dauioiIqKqq4uDg5OXn27NkIIVB6mTdvHkIIpF0gHDrYIU/cGOOwsDCEECEpPoySk5MxxmPGjIH4PQUFBTIyMiRMLAlASa1VUlIyZcqUYIHjzJkz1GLUtJeXl6ysLMY4Pj4e5FhDQkIkJCS4XO6DBw8ePXpELSyYhqjgCCGoS52XhHjsCCEQIIOfEFE/CYKW6RwaARoBgkC7sWRVVRXQ4vnz54mADEIoMTGRsOTHjx/B0YqKCih84cIF2PPI4XBgnHXmzBk9PT07Oztra2vCkj/99BNCaOvWraSfkGg8S2KM09PTFRQUIL7k2bNnSdzviooKEnybar+ysnLWrFl/ChwPHjygFqOmT5w4gRCqqKggSzTR0dEIoc+fPx8+fJhaUmg6JiYGYIHdlFSWjI2NhVPwlO3n54cQUlBQEGqHzqQRoBEQg0C7sSTGGKKFA0H8+eefCCFJScnq6mpBlgRVQvJ4Tvrj5uaGEFq+fDnG2MXFhbDk0qVLEUJkyo+U/yqWPH78uJGREdS1tbUl4tHnzp1LSUkhNqkJY2Nj8bsaqYUxxsBlHh4eRUVFcAqkd11cXMgvBF8V6kcQnEEIARFTWTIjIwNYEgbFoItNXRei2qHTNAI0AmIQaFOWjIiIgDVueD/Ex8cHIeTg4ECefzdu3Igxfv36NXzDiU4LxtjOzg4h9MMPP7x9+7a6utrV1TU5OXnMmDEIoVmzZtXV1c2fPx8hNH78eHiABQve3t48Hq+wsBBm7mC/JDzjw9xl7969RaFz5MgRU1NTODtjxow//vgD0jCtKbTWn3/+uX37dqGnhGbCIzNZIMIYv3nzBiFE2hJai2RyudwhQ4aAnBnG2MHBATQkYFkcpn1v3bqFMTYzM4N5XlKXTtAI0Ag0EoG2Y8nMzEwmkwnkZWFhkZubCzqiWlpaZ8+eHTdunLm5eXV1NYfDWbhwIRSbM2cOUdSrrKyEjUSw/nPnzh2MMYwlEUITJkw4cuQIQkhGRgYIMSAgQFZWFgqvW7euvr4+ICAAzI4ZMyYtLY04Ex4eLhSsz58/GxgYXL9+3cfHJzg4WF9f/8aNG56enmS2VGit0NDQFStW3L17t7S0VGgBamZqaqqOjg5V/yA/P79fv35kApRaWGj62bNnvXv3lpeXZzKZlpaWCKE+ffqAOHhxcfGCBQtmzZp15syZvn37NuYRXmgTdCaNwH8cgbZjSVFA19TUvHjxQoxOIbVi4f+1d/ZRVVXpH38uorJyiVaUOdaosWRQZywtnbRlL46h5QQtMSsVnbSABeTLeCPGUV4MkVC05ajYCIRCiEmkxNLQH+ZUmIlgusyJe7FwuF5AXkJeBIHL81ux63S6HC7Iy4V77/f8Qfs++/2zd1/P2Wef/Vy/npubK9/6p9Vqpd3phYWFYmelyNLQ0HDx4sUO9xvKyzcKGwwGrVYr2nbr1i2tViucZxklM/qp1+v37Nnj6+srNpab2FXe2Ngo/TMgCmlpaWnvcd6oFulnU1PTxYsXq6ura2trJVe3UmxFRcXFixdv3bolWRAAARC4LQJ9r5K31VwkBgEQAAEzE4BKmhk4qgMBELAwAlBJCxswNBcEQMDMBKCSZgaO6kAABCyMQN+r5KVLl+SvXCyMH5oLAiBg7QT6XiX/9a9/mfg6xdr5o38gAAL9nYAFq+QPP/wg35cj9tB88803t/X1S8+OT0NDQ+Fvr6KiottysSB9f9mzDUNpIAACXSZgqSopPmEWX9ow89WrV8ePH//44497e3tPnDixMzu6u4zMRMaioqJdu3YNHjzY3d39/fffT0hI2Llz59NPPx0QEGBCKxsbG//3v/8xs06nE18TjRkzxkQtiAIBEDAnAUtVSXHS2tSpUwWsFStWEFF0dPSaNWuI6IsvvjAnRHlder1enNkhGa9du6ZSqcTBl5JRHggICBDHpjGzOC8SKinngzAI9C0BS1VJZs7Pz29oaBD4xC3Yzp07y8rKjh071oMP3aWlpW+//fbixYtfeumll19+edGiRabfNSUnJw8bNkzegNraWnt7+y1btiiO9N69e4lIUknxdTlUUpEVjCDQJwQsUiWLioqEywchLrGxsffccw8RPffcc/KTI4yAVlZWytcxpdjKysr2Drs9cuTIokWLzp8/L1c9KaNiwNvbWzpJSCSIjo6+7777FF3FxsXFqVQqIpo7d644jVhSydLS0qCgoCVLlojjKkRRbX1abNu2TaDQ6XQxMTGLFy/etm2b/MNwxUbCCAIg0HkCFqmSzBwcHExE4p7r0qVL4hC2tWvXXrhwQbHzH3/88ZEjR5544gnxRXNZWdmDDz4oUo4aNUrRq6JWq122bFl7AqpYCzO7uLhER0eLWJ1OFxYW5uHhodVqFdPn5+c/+OCDRLR69eqvv/6amYVKDh8+fOHCheLEzIEDB165coWZFX1aXL58WRzh4enpGRQUNGLECCJq775VsQ0wggAImCZgqSop3XOJ7rm6uhJRe2ea3bx5Mzo6urGxcciQIXq9npkPHTo0c+ZMkXfjxo3SIbhyWD4+PqYfruWJRVgsSkZFRSUlJe3bty8qKmr58uUmzipn5j/+8Y9tn7hHjBgh7l7vvPNOIkpMTGRmRZ8W0mHGwtuEOBZI7oWxbSNhAQEQuC0CNqGSxcXFN27cOHr06EMPPSTo+Pn5SV4ZMjMzFd/2uLm5tfHOEBsXF1dVVdUe4raLkmVlZXZ2dvv3728vi6JKSuuSY8aMEU4v2vNpIamkcP8QFBRERLNnz26vOthBAARul4BNqKSAsnTpUrH2x8wTJkyQ1vsiIiKkt0ByfO7u7m28M/xfVlaWYmKRse2iJDP/7ne/+9vf/iYvWR7upEq259MCKimHiTAI9AYBG1LJ3//+97m5ucxcW1urUqkkT9ztHQy+atUqsSDYee4uLi5bt26VpxfeKeLj4+VGebiTKtmeTwuopBwmwiDQGwQsVSXFvkLJA6LwqhgREWGC0b333iuOvD19+vQdd9whFv5yc3O/+uorxVwlJSXz58/v/Pm1Op2OiHJycqTSSkpKpk6dumDBAhOvgCZPnkxEarX6888/12g0Rv0SjnrEsqmiT4uqqirx9ubLL79kZrVaTURPP/201AYEQAAEuknAIlWyqKhIeElUqVQpKSkxMTFiP42Li0tSUlJ7RHbs2LFmzZrjx49HRka+9tprmzZtSktLEy9G2sty5syZF154ITU1VXEfj5TLYDC8/fbbM2fOJKLAwMDQ0NDg4GB/f393d/eEhAQTEik5pbC3t//HP/5RVFT06KOPCtXbt2+fcF9ORNOmTSsrK1P0aREQECDSu7u7a7Va8a/FsGHDTp48KTUPARAAge4QsEiV7HKHKysrpYfokpKS4uLiDouqr6//4IMP1Gq1cM/Q4a7yDgtsm+Dq1aud/6SyrU+LtgXCAgIg0IMEbEslexAcigIBELARAlBJGxlodBMEQKCLBKCSXQSHbCAAAjZCACppIwONboIACHSRAFTyZ3AGg+Hq1atGHr2ZWa/Xl7RebV1ddxF5R9mqqqp+e5JvYWlpaUeZEA8CINBbBKxKJQ8fPvyf//yna6hqa2tjYmL+8Ic/2NvbizNxRTmxsbFjxox55plnUlJSulby7ebKyckR2x4DAwMTWq+oqKjJkyfHxsbeblFIDwIg0H0CVqWSiYmJx44d6w6UsLCw++67b926dfJCNmzYYOazyNp+D56cnKxSqfLz8+UNQxgEQMAMBKCSv0LWaDSpqakhISH33HOP/GPtqKioXxOZJdT2e/DMzEyjD3vM0hBUAgIgwFDJXydBbGzs9evX9Xr9wIEDpVN8vv/++0OHDv2ayCwh+SGVokJ3d/ennnqq84cBm6WZqAQEbIIAVPLXYZaOvXjppZckjzrvv/++2d7biKbIPecYDIZvv/122bJlAQEB0vEcv7YYIRAAgd4nAJX8lbGkkp9//jkRicPD33nnnV9TdDqk1Wq9vLyWtH+JwykUy0tOTh4+fHhiYmJSUlJ8fHxISMiKFSvOnj2rmBhGEACB3iYAlfyZcEFBgfzJetKkSV5eXszcNZXszrC1XZRMS0tzcHDQaDTdKRZ5QQAEukYAKvkzt7i4OPm2xH//+9+DBw/Ozs5OTU3tGtku52q7KKnRaIhI0TlPl2tBRhAAgU4SgEr+DCoyMlKOrK6ubvjw4RMmTCgrK5PbOxnWaDSvvPKKOEZI8a+iDwmxiZ2Izp07J69oz549AwYMaM/FmDwlwiAAAj1OACr5E9La2tqgoCAjuH//+9//9Kc/ScaCgoKYmJj58+czc0tLi6enJzPv3bs3ODhYStP9QFJSkqOjY3Nzs1TUuXPn7rrrrh07dghLQkLCmjVrPvnkE2b+8MMPDxw40NLS4uLiUlNTI2VBAARAoAcJQCV5+/btU6ZMGT16tNG+yIKCgg0bNkisU1NT6+rqxo8fz8y5ubnPPvssM1+7ds1oC7qU/nYDer1erVY7OzuPGDEiJCQkNDR03bp1Pj4+Hh4e2dnZorTy8vJTp05t2LBh3759zPz888+LV0z+/v51dXW3WyPSgwAIdIYAVLIzlH5Ok5GR4e/vz/yTsIq3OjqdLj09/TaK6ImkU6dOLSkpaWlpeeCBB8Rd5+7du3uiYJQBAiCgQAAqqQClPVNgYKB4mePl5ZWZmcnM+/fvb2xsbC99b9hra2snTZrEzFeuXJk+fbpYLjDbN+a90SOUCQL9nIBVqWRWVpbcOVePo8/MzPT29k5NTX2r9UpKSpLc1fZ4XSYKdHd3T09Pj46OXrBgwdGjRyMjI+XfU5rIiCgQAIEuELAqlexC/283S3Nzs/BR09DQ0IcvTH788UfxrF1RUWHa+9jtdhDpQQAEjAhAJY2A4CcIgAAI/IYAVPI3OPADBEAABIwIQCWNgOAnCIAACPyGAFTyNzjwAwRAAASMCFiVSjb/chl1Ej9BAARAoMsErEolPT09qfUqKSnpMhFkBAEQAAE5AatSyfPnz0Ml5aOLMAiAQPcJWJVKXrp0CSrZ/TmBEkAABOQELFglNRrN+vXr1Wr1e++9J3ZWG6lkYWHh6tWr165du7X1Et1um0uOA2EQAAEQMCJgqSqZk5MzdOjQ8PDw5ubmsWPH+vn5MbNcJaurq0eNGrVp0yZmTkhIeOyxx5hZMZcREfwEARAAATkBS1XJWbNmEVFGRgYzz507d8CAAaWlpXKVzMrKIiI3N7fKykpm3rVrFzMr5pLjQBgEQAAEjAhYpEoaDAYHBwci8vT09PX1dXZ2JqITJ07IVbKwsHDQoEFEdPfdd8fHxzNze7mMiOAnCIAACMgJWKRKVldXi7c0aWlpv2yRbG5paZGrJDOfPHly3LhxIuXChQvbyyXHgTAIgAAIGBGwSJVkZicnJyIKDw+X90eukpcvX9bpdPX19WFhYeLGs6KiQjGXvASEQQAEQMCIgKWqZGBgIBGNHDny8uXLdXV1ERER3333XV5enrhzLCoqSklJ8fHxEb1duXLlkCFDmpqaFHMZEcFPEAABEJATsFSVrKmpefHFF4UmOjk5nTp1ipk9PDyExd/fPyUlZezYsSEhIXv37nV1dY2Li2NmxVxyHAiDAAiAgBEBS1VJ0Y3r16/n5uYqOsYqLy+/efPmrVu3Lly4UFFRIe+2iVzyZAiDAAiAADNbtkpiCEEABECgtwlAJXubMMoHARCwbAJQScseP7QeBECgtwlAJXubMMoHARCwbAJWpZI6ne769euWPSBoPQiAQD8jYFUqmZiYeOzYsX5GGM0BARCwbAJQyZ/G74cffmhsbJRGsqWlRaPRfPPNNwaDQTL2baCwsPDQoUOdb4P04WbnsyAlCICAIgGoJB85coSIZsyYIQBdvXqyHR/TAAAXFElEQVR1/Pjxjz/+uLe398SJE3/88UdFcGY2/vWvf/Xy8uqw0oKCAmbW6XTTpk0jojFjxnSYBQlAAARME4BK8qFDh4ho6tSpgtSKFSuIKDo6es2aNUT0xRdfmCZohtiMjAxnZ+fZs2ebruvQoUMvvPCCSLNnzx6opGlciAWBThKASv4EKj8/v6GhQSATd2E7d+4sKys7duxYDz50l5aWvv3224sXL37ppZdefvnlRYsWdcaLWUNDQ3Bw8KpVqyZOnGhiUHNzc4cOHSqpZGxsLFTSBC5EgUDnCdi6ShYVFYW2Xu+++y4zx8bG3nPPPUT03HPP7d69uz2OlZWV8nVMKVllZaXwLSFZpMCRI0cWLVp0/vz525Xdd999V6/XR0ZG3nnnnVJpRoG8vLxhw4YRkaura2hoqE6nk1SytLQ0KChoyZIlJ06ckHJVV1dv3rw5MDAwNDT0xo0bzJyWliY4nD59+ujRo6+++qparS4vL5eyIAACNkvA1lWSmYODg6XbrkuXLo0ePZqI1q5de+HCBcVp8fHHHx85cuSJJ564desWM5eVlT344IMi5ahRoxISEtrm0mq1y5Yta09A26aXLIWFhTExMcIpBRHV19dLUfJAcXHxggULiOiJJ544c+ZMTU2NUMnhw4cvXLhw9erVRDRw4MArV64wc3V1tYuLi3h+9/LymjRpUlNT061btx544AEimjVrVkBAgLihnjdvnrwWhEHANglAJX+6f5RUkpldXV2JaOfOnYoT4ubNm9HR0Y2NjUOGDNHr9cw/LWvOnDlTJN64ceOePXvaZvTx8enMw3XbjBs2bGhqamLmzMxMIvrhhx/aphGWgIAAIjJ64h4xYoS4db3zzjuJKDExkZk3btxIRGq1mpkjIyOJKDU1lZkfffRRItqwYQMzp6SkENGQIUPaqw52ELAdAlDJ21PJ4uLiGzduHD169KGHHhKzxM/Pb/369SKcmZmp+LbHzc0tts0VFxdXVVVlYqodP348ODj4/1qvmJgYIjp9+nR76RVVUnrHPWbMGCKKjY1lZjc3NyKaPn26r6/vzJkzieif//ynpJKRkZHM/OmnnxKRvb19e9XBDgK2QwAqeXsqKWbG0qVLpWPSJ0yYIC35RURESG+B5HPI3d1diJ38b1ZWlmJikbGxsfGtt9469csltit99NFH8mLl4c6r5JQpU4ho1apV0p5Kcb8p7iWhknKqCIOAtZ2c1rVvb27riVtMmt///ve5ubnMXFtbq1KpqqurhX3z5s2Ks2rVqlViTVAxVtG4a9cunU4nRbW0tNjb27e3DsDMnVdJsYLZdl8RVFKijQAIyAngXpLF1sL7779fcBEeGSMiIuSYjML33nuvWCI8ffr0HXfcIe7FcnNzv/rqK6OU4mdJScn8+fPF2x7FBEbGM2fOtG3AqFGj1q1bZ5RS+il2d/75z3/W6/WffPKJUafuv/9+IhJrpkePHiUiOzu7jz76qKmp6eDBg+IW9eGHH5ZcCWVkZIg0XXjjJDUJARCwDgK2rpJFRUWPPPIIEalUqpSUlJiYGJVKRUQuLi5JSUntjfGOHTvWrFlz/PjxyMjI1157bdOmTWlpaeLdSHtZzpw588ILL6Smpl67dq29NOIFtJ+f38iRI6dPny7dfv73v/9dtWqVo6PjhAkTtmzZopj91KlTwgnaX/7ylytXrogbQyLat2+feBVDRNOmTSsrK2PmTZs22dvbE5GDg8PWrVuZOTk5WTjmnThxYkFBwTPPPCN8Y2zbtk2xOhhBwHYI2LpKdnmkKysrJRUrKSkpLi7usKj6+voPPvhArVa/3Hp1cld5h8VKCSoqKoqKiqSfpgO1tbV5eXk4Qsk0JcSCANYlMQdAAARAoAMCuJfsABCiQQAEbJwAVNLGJwC6DwIg0AEBqGQHgBANAiBg4wSgkr0yAfR6fWFh4dWrV+U7aSorK4uLi0tLS+UbIXul+l8KraqqKvztVVpa+ksk/gsCINApAlBJZUzZ2dlZWVnKcZ2wfvjhh3PmzLGzsztw4ICUPCsr68knn5wwYUJERERzc7Nk771ATk6OWq0mosDAwITWKyoqavLkyeJTxd6rFyWDgDURgEoqj2Z6erpc4JQTmbRGRER4enpKR6CLtHFxceI4cZNZezIyOTl52LBh8uPakpOTVSpVfn5+T1aDskDAeglAJZXHtkdU8rPPPiOivLw8qY6oqCgpbJ6At7f3888/L69LHC+Uk5MjNyIMAiDQHgGopDKZbqqkVqsVx5FNnDhx+fLlUh3vvPOOFDZPwMXFJTo6Wl6Xu7v7U089Jb+7lMciDAIgYEQAKmkE5Oef3VTJ2NhY8VlLTEyMg4ODOPT7+++/vy0/iMotux2rXq8nInEwh8Fg+Pbbb5ctWxYQECAdz3E7hSEtCNgoAaik8sB3UyWlw4FqamocHR3FLWR8fHwXvgjUarVeXl5L2r++/PJL5T60fp09fPjwxMTEpKSk+Pj4kJCQFStWnD17tr30sIMACLQlAJVsy+QnS0+pJDOvXLly9OjRBoNBHN2oXF/vWNsuSqalpTk4OGg0mt6pEKWCgBUSgEoqD2p3VLKgoED+ZJ2fn69SqQ4fPmx+lWy7KKnRaIhI0TmPMghYQcDmCUAlladAd1QyLi7OaPO2m5ubq6uriZPGlRvRatVoNK+88oo4Rkjxr6IPCWYWi5Lnzp2TF75nz54BAwZotVq5EWEQAAETBKCSynC6o5JvvPGGUaHp6ekqlUqc7cjMBQUFMTEx8+fPZ+aWlhZPT09m3rt3b3BwsFHG7vxMSkpydHSUb18/d+7cXXfdtWPHDlHs8ePHt2/fLpzeaDSawMBAZl68eHF3ttN3p8HICwL9kwBUUnlcuqaSx44dmzNnjqOjo5+fX21trVS0wWBYsmSJ9DM1NbWurm78+PHMnJub++yzzzLztWvXTBxFLuXtTECv16vVamdn5xEjRoSEhISGhq5bt87Hx8fDwyM7O1sqITU1NSsr69VXX2Xm6Oho8Yrp4MGDx44dk9IgAAIgAJVUngNdU0nlspSsGRkZ/v7+zLx9+3YhTzqdLj09XSltL9rUarVYQvXw8Pj666+Z+eDBg2LfUi/WiqJBwKIIQCWVh6u3VTIwMFBsO/fy8srMzGTm/fv3NzY2Krem16zTpk0Tmjh69Oj6+npmjouL67XaUDAIWCQBqKTysJ06dapXHzwzMzO9vb1TU1Pfar2SkpIkd7XKDeoda1hY2Pbt22NjY728vPbv379jxw682Okd0ijVgglAJfts8Jqbm3/88UdmbmhoqKmp6at21NXV3bx5k5lv3Lhh/pvZvuo16gWBzhOASnaeFVKCAAjYIgGopC2OOvoMAiDQeQJQyc6zQkoQAAFbJACVtMVRR59BAAQ6TwAqqcyq+ZdLORpWEAABmyEAlVQeak9PT2q9SkpKlFPACgIgYBsEoJLK43z+/HmopDIaWEHAxghAJZUH/NKlS1BJZTSwgoCNEYBK/jTgGo1m/fr1arX6vffeEx60jVSysLBw9erVa9eu3dp6iUlSXV29efPmwMDA0NDQGzdu2NjMQXdBwFYIQCU5Jydn6NCh4eHhzc3NY8eO9fPzY2a5SlZXV48aNWrTpk3MnJCQ8NhjjzFzdXW1i4vL7NmzmdnLy2vSpElNTU22MmvQTxCwJQJQSZ41axYRZWRkMPPcuXMHDBhQWloqV8msrCwicnNzq6ysZOZdu3Yx88aNG4lIrVYzc2RkJBGJ0ytsafKgryBgEwRsXSUNBoODgwMReXp6+vr6Ojs7E9GJEyfkKllYWDho0CAiuvvuu+Pj48W8cHNzI6Lp06f7+vrOnDmTiMRxtjYxa9BJELAlArauktXV1eItTVpa2i9bJJtbWlrkKsnMJ0+eHDdunEi5cOFCZp4yZQoRrVq1SsoFD9e29D8O+mpDBGxdJZnZycmJiMLDw+XDLlfJy5cv63S6+vr6sLAwceNZUVGxYMECIhLrkvKMCIMACFgZAagkBwYGEtHIkSMvX75cV1cXERHx3Xff5eXliTvHoqKilJQUHx8fMfArV64cMmRIU1PT0aNHicjOzu6jjz5qamo6ePBg15x/Wdl8QndAwPoIQCW5pqbmxRdfFJro5OR06tQpZvbw8BAWf3//lJSUsWPHhoSE7N2719XVVTrNe9OmTfb29kTk4OCwdetW65sc6BEIgAAzQyV/ngbXr1/Pzc2tq6trOy3Ky8tv3rx569atCxcuVFRUyBPU1tbm5eVdv35dbkQYBEDAmghAJa1pNNEXEACBnicAlex5pigRBEDAmghAJa1pNNEXEACBnicAlex5pigRBEDAmghAJZVH88aNG8LBoXI0rCAAAjZDACqpPNTp6ekHDhxQjuv31u3bt2/pxIUDhvv9SKKB/YIAVFJ5GCxaJb/55pu8TlyK256UccAKAjZMACqpPPjdVEm9Xl9YWHj16lVxWqWoo7Kysri4uLS0VKfTKdfa09aqqqrC316lpaU9XQnKAwErJwCVVB7gbqrkhx9+OGfOHDs7O/lje1ZW1pNPPjlhwoSIiIjm5mblinvUmpOTo1ariSgwMDCh9YqKipo8eXJsbGyP1oPCQMCaCUAllUe3myrJzBEREZ6enjNmzJBXEBcXV1BQILf0djg5OXnYsGHy84qSk5NVKlV+fn5vV43yQcA6CEAllcexR1Tys88+I6K8vDypjqioKClsnoC3t/fzzz8vryszM5OIcnJy5EaEQQAE2iMAlVQm002V1Gq14ujyiRMnLl++XKrjnXfekcLmCbi4uERHR8vrcnd3f+qpp+R3l/JYhEEABIwIQCWNgPz8s5sqGRsbK47AiImJcXBwKC8vZ+bvv//+0KFDyvX1jlWv1xNRbm4uMxsMhm+//XbZsmUBAQHV1dW9UyFKBQErJACVVB7Ubqrk5s2bRbk1NTWOjo7iFjI+Pr4LpwdptVovL68l7V9ffvmlch+Yk5OThw8fnpiYmJSUFB8fHxISsmLFirNnz7aXHnYQAIG2BKCSbZn8ZOkplWTmlStXjh492mAwREZGKlfWa9a2i5JpaWkODg4ajabX6kTBIGBtBKCSyiPaHZUsKCiQP1nn5+erVKrDhw+bXyXbLkpqNBoiSkhIUO42rCAAAm0IQCXbIGk1dEcl4+LijDZvu7m5ubq6ds3lg0ajeeWVV15u//riiy8U+yAWJc+dOyeP3bNnz4ABA7RardyIMAiAgAkCUEllON1RyTfeeMOo0PT0dJVKVVZWJuwFBQUxMTHz589n5paWFk9PT2beu3dvcHCwUcbu/ExKSnJ0dJRvXz937txdd921Y8eO7hSLvCBgawSgksoj3jWVPHbs2Jw5cxwdHf38/Gpra6WiDQbDkiVLpJ+pqal1dXXjx49n5tzc3GeffZaZr127tm7dOilNdwJ6vV6tVjs7O48YMSIkJCQ0NHTdunU+Pj4eHh7Z2dndKRl5QcAGCUAllQe9ayqpXJaSNSMjw9/fn5m3b98u3oDrdLr09HSltLCBAAj0JQGopDL93lbJwMBAse3cy8srMzOTmffv39/Y2KjcGlhBAAT6jgBUUpl9bm5urz6cZmZment7p6amvtV6JSUlnThxQrkpsIIACPQpAahkn+Fvbm4Wx6E3NDTU1NT0WTtQMQiAgEkCUEmTeBAJAiBg8wSgkjY/BQAABEDAJAGopEk8iAQBELB5AlBJm58CAAACIGCSAFTSJJ6OIpt/ueT+bTrKhHgQAAFLIgCV7PpotbS0bNy4cdCgQUQUHh7e9YKQEwRAoB8TgEp2d3AeeeQRqGR3ISI/CPRjAlDJ7g7OY489BpXsLkTkB4F+TAAq+dPgaDSa9evXq9Xq9957T6wwbtu2LbT10ul0MTExixcv3rZtW1NTkxjK8vLy4ODgpUuXHj9+HCrZj6c3mgYCPUAAKsk5OTlDhw4NDw9vbm4eO3asn58fM1++fJlaL09Pz6CgoBEjRhDRli1bmLmmpmbcuHF2dna7d++OiooaOnQo7iV7YCaiCBDorwSgkjxr1iwiysjIYOa5c+cOGDCgtLS0trZWqGRWVhYz+/r6EtG8efOYOTIykogmTZokxhTrkv11bqNdINAzBGxdJQ0Gg4ODAxF5enr6+vo6OzsT0YkTJySVPHPmDDMHBQUR0ezZs4WSivRiBPDE3TMzEaWAQH8lYOsqWV1dLe4Z09LSftn72NzS0mJCJSdPnkxEr7/+uhhTqGR/ndtoFwj0DAFbV0lmdnJyaruwaEIlPTw8iMjNzU2MAFSyZ2YiSgGB/koAKsmBgYFENHLkyMuXL9fV1UVERHz33XdVVVXiHlN4u1ar1UT09NNPM/OBAweIaNSoUU1NTXq9Xojsm2++2V+HGO0CARDoFgGo5E/vrF988UWhiU5OTqdOnWLmgIAAYXF3d9dqtWK9ctiwYSdPnjQYDD4+PkT08MMPz5s3b8qUKYMHD54xY0ZOTk63hgKZQQAE+iUBqOTPw3L9+vXc3Ny6urpODlNxcXF+fn5LS0tRUZG0j7KTeZEMBEDAgghAJS1osNBUEACBPiAAlewD6KgSBEDAgghAJS1osNBUEACBPiAAlewD6KgSBEDAgghYlUpmZ2dfvHjRguijqSAAAv2fgFWpZP/HjRaCAAhYHAFbVEn5l4gWN2BoMAiAgJkJ2JxKwg2DmWcYqgMBSydgcyopBgzHnVn6xEX7QcBsBGxUJXFEhdlmGCoCAUsnYMEqCTcMlj750H4QsAgClqqScMNgEdMLjQQBKyBgqSoJNwxWMPnQBRCwCAIWqZJww2ARcwuNBAHrIGCRKgk3DNYx+dALELAIAhapknDDYBFzC40EAesgYKkqCTcM1jH/0AsQ6P8ELFUl4Yah/88ttBAErIOApaqkoA83DNYxC9ELEOjPBCxbJfszWbQNBEDAOghAJa1jHNELEACB3iIAlewtsigXBEDAOghAJa1jHNELEACB3iIAlewtsigXBEDAOgj0vUpWVFTU1dVZB030AgRAwPoI9L1KWh9T9AgEQMCaCFiMSsJZjTVNO/QFBCyIgGWoJJzVWNCUQlNBwMoIWIZKCuhwVmNlkw/dAQGLIGBJKglnNRYxpdBIELAyAuZWSSNnNRUVFaGtV0REREVFRVhY2OLFiz/++GOJcnl5eXBw8NKlS48fPw6VlLAgAAIgYDYCZlVJRWc1u3fvJiIHB4fly5e/9dZbdnZ2KpXq7NmzzFxTUzNu3Dg7O7vdu3dHRUUNHTqUiMLDw81GBxWBAAiAgFlVUtFZTUZGBhENHDiwvr6emV1dXYloy5YtzBwZGUlEkyZNEuOEdUnMVxAAAfMTMJ9KtuesRqikg4OD6Lz8sXru3LlE5Onp2TbK/KRQIwiAgG0SMJ9KtuesxoRKTp48mYhef/11MTZyAbXN0UKvQQAEzE/AfCrZnrMaEyrp4eFBRG5uboILVNL88wM1ggAImFUlFZ3VHD58mIgGDRrU0tLCzI8++igRhYWFMfOBAweIaNSoUU1NTXq93snJiYjefPNNDBsIgAAImI2AWVWyrbOaioqKJ598klqv6OjoTz/9dPDgweKNTWFhocFg8PHxIaKHH3543rx5U6ZMGTx48IwZM3JycswGCBWBAAjYOAGzqqRgDWc1Nj7n0H0QsCwCfaCSlgUIrQUBELBxAlBJG58A6D4IgEAHBKCSHQBCNAiAgI0TgEra+ARA90EABDogAJXsABCiQQAEbJwAVNLGJwC6DwIg0AEBqGQHgBANAiBg4wSgkjY+AdB9EACBDgh0XSXvvfde8c0M/oIACICARROYM2eOCaXsukpmZ2d/hgsEQAAELJ/AhQsXekUlTRSKKBAAARCwGgJdv5e0GgToCAiAAAiYIACVNAEHUSAAAiDA/w/J+O/0Tp6O+AAAAABJRU5ErkJggg==)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EmyqOxdOh4mE"
      },
      "source": [
        "Let's calculate the mean vector of each ARES side,"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FQ28xwbFh9jr"
      },
      "outputs": [],
      "source": [
        "import torch\n",
        "ares_contextual_mean = torch.tensor(ares_contextual.vectors).mean(0)\n",
        "ares_gloss_mean = torch.tensor(ares_gloss.vectors).mean(0)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rMOktvyxiXaE"
      },
      "source": [
        "Obtain the BERT old embeddings and vocabulary to use as a basis,"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "l1uR_tAIiWt2"
      },
      "outputs": [],
      "source": [
        "old_wgts = base_model.get_input_embeddings().weight.clone().detach()\n",
        "old_vocab = tokenizer_bert.get_vocab()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P-eGtogUiPfh"
      },
      "source": [
        "Create the matrix that will receive the new embeddings,"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cjd7mTWFiFYw",
        "outputId": "3da81e25-5f7d-4fca-d1ab-ea749fe20503"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "torch.Size([13583, 1024])"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "new_vocab_size = len(loaded_tokenizer)\n",
        "new_vocab = loaded_tokenizer.get_vocab()\n",
        "\n",
        "new_wgts_contextual = old_wgts.new_zeros(new_vocab_size,old_wgts.size(1))\n",
        "new_wgts_gloss = old_wgts.new_zeros(new_vocab_size,old_wgts.size(1))\n",
        "new_wgts_contextual.size()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rtGnRYCjime6"
      },
      "source": [
        "Populate the matrices,"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "NEZcTiZ8ipFt"
      },
      "outputs": [],
      "source": [
        "from torch import tensor\n",
        "\n",
        "for w,idx_new in new_vocab.items():\n",
        "    idx_old = old_vocab.get(w, -1)\n",
        "    if idx_old>=0:\n",
        "      new_wgts_contextual[idx_new] = old_wgts[idx_old]\n",
        "      new_wgts_gloss[idx_new] = old_wgts[idx_old]\n",
        "    else:\n",
        "      if w in ares_contextual:\n",
        "          new_wgts_contextual[idx_new] = tensor(ares_contextual[w])\n",
        "          new_wgts_gloss[idx_new] = tensor(ares_gloss[w])\n",
        "      else:\n",
        "          new_wgts_contextual[idx_new] = ares_contextual_mean\n",
        "          new_wgts_gloss[idx_new] = ares_gloss_mean"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FnqTrrhfi3B7"
      },
      "source": [
        "And update the models embeddings layer."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PjVa0gWji8DU"
      },
      "outputs": [],
      "source": [
        "from torch import nn\n",
        "new_wte_contextual = nn.Embedding(new_vocab_size,old_wgts.size(1))\n",
        "new_wte_gloss = nn.Embedding(new_vocab_size,old_wgts.size(1))\n",
        "\n",
        "new_wte_contextual.weight.data.normal_(mean=0,std=base_model.config.initializer_range)\n",
        "new_wte_contextual.weight.data = new_wgts_contextual\n",
        "\n",
        "new_wte_gloss.weight.data.normal_(mean=0,std=base_model.config.initializer_range)\n",
        "new_wte_gloss.weight.data = new_wgts_gloss"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "YPPwCzc7i-fR"
      },
      "outputs": [],
      "source": [
        "contextualized_model.resize_token_embeddings(len(loaded_tokenizer))\n",
        "contextualized_model.set_input_embeddings(new_wte_contextual)\n",
        "contextualized_model.set_output_embeddings(new_wte_contextual)\n",
        "\n",
        "gloss_based_model.resize_token_embeddings(len(loaded_tokenizer))\n",
        "gloss_based_model.set_input_embeddings(new_wte_gloss)\n",
        "gloss_based_model.set_output_embeddings(new_wte_gloss)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mHhbQxBMjNtd"
      },
      "source": [
        "### Saving models\n",
        "\n",
        "The following cell save the PictoBERT (not trained yet) models."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "WwEaml_ujhJt"
      },
      "outputs": [],
      "source": [
        "contextualized_model.save_pretrained(\"./pictobert-large-contextual\")\n",
        "gloss_based_model.save_pretrained(\"./pictobert-large-gloss\")"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "name": "Create Models.ipynb",
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "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": "3.7.3"
    },
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "01209bf7329c4276ad9eaca2528d5aa6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": "initial"
          },
          "model_module_version": "1.5.0"
        },
        "019b7795705a44e3a884598b73167dbd": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "0722db5548754ad9a3f3658324c0db75": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          },
          "model_module_version": "1.5.0"
        },
        "26a61d68b70a4afcacf7c6d9da4ec0b7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_baf2b98372434cac87c74d2dbd96b859",
              "IPY_MODEL_e806498c6c9f4c49b9fe838a5c6fb8db"
            ],
            "layout": "IPY_MODEL_9924619b280d4c62b6f14131d78bb129"
          },
          "model_module_version": "1.5.0"
        },
        "309e6e81972c4b6c81ba08d01670ba65": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "Downloading: 100%",
            "description_tooltip": null,
            "layout": "IPY_MODEL_51be7cde51e14973ae80d70e42f10ba2",
            "max": 571,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_e7a2d7af88ed43d79de94397fdaf2355",
            "value": 571
          },
          "model_module_version": "1.5.0"
        },
        "30a82e8e0822421bb13a87f27d645c93": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_debf7d0d20744f0d9dc5b336fcd34e94",
              "IPY_MODEL_d3dbc847184b4626b81d538a58c7255e"
            ],
            "layout": "IPY_MODEL_679f8401b3e4403a9993db72be3abe6a"
          },
          "model_module_version": "1.5.0"
        },
        "48ac9a489a9841bd8c831bf75b59ae95": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_309e6e81972c4b6c81ba08d01670ba65",
              "IPY_MODEL_f333f28c10724809a2702f1a29dd42b9"
            ],
            "layout": "IPY_MODEL_94055edbaaba4de19ab849d70f2964f6"
          },
          "model_module_version": "1.5.0"
        },
        "4a78bc38fe6d4b99870fff46ea4cac9c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "51be7cde51e14973ae80d70e42f10ba2": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "530355d65f0345229aa5de62e3e437b1": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "60442f273c4c48588b1cced2a8213aea": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          },
          "model_module_version": "1.5.0"
        },
        "65f501ef2c9a4cc3b98d0510c6b2e2d9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "Downloading: 100%",
            "description_tooltip": null,
            "layout": "IPY_MODEL_8b9e39da70c04194a867cc07a52823ca",
            "max": 466062,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_01209bf7329c4276ad9eaca2528d5aa6",
            "value": 466062
          },
          "model_module_version": "1.5.0"
        },
        "679f8401b3e4403a9993db72be3abe6a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "68599e1e50db4ad38d382800809c12e6": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "6cae416aa86246109d7e12b7ca13c1c5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_e1184b2bd1a64c22ace070152b59d512",
            "placeholder": "​",
            "style": "IPY_MODEL_808a4340a5fb42edb3a727ed605888b0",
            "value": " 466k/466k [00:00&lt;00:00, 1.30MB/s]"
          },
          "model_module_version": "1.5.0"
        },
        "72088eb13be2477d8252f8c18b029a4f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          },
          "model_module_version": "1.5.0"
        },
        "7d0981cbd1c04d8e8201abe5a6662ea8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_bcdc048b500048a082802103b2690709",
              "IPY_MODEL_91cefe36e3c945e09e0c6e58315ab4c5"
            ],
            "layout": "IPY_MODEL_9094d474557e4e05ac010864950d6a21"
          },
          "model_module_version": "1.5.0"
        },
        "8000eec2f178496ba5d17e84e63a31f8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          },
          "model_module_version": "1.5.0"
        },
        "808a4340a5fb42edb3a727ed605888b0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          },
          "model_module_version": "1.5.0"
        },
        "8b9e39da70c04194a867cc07a52823ca": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "9094d474557e4e05ac010864950d6a21": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "91cefe36e3c945e09e0c6e58315ab4c5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_fc057999489949ef9a8491ffcac86b35",
            "placeholder": "​",
            "style": "IPY_MODEL_60442f273c4c48588b1cced2a8213aea",
            "value": " 1.34G/1.34G [00:39&lt;00:00, 33.7MB/s]"
          },
          "model_module_version": "1.5.0"
        },
        "94055edbaaba4de19ab849d70f2964f6": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "97b32b1d3e594920a5af47b28a8472e8": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "9924619b280d4c62b6f14131d78bb129": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "b74778dcf1df487a81103226e9a3d4da": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": "initial"
          },
          "model_module_version": "1.5.0"
        },
        "baf2b98372434cac87c74d2dbd96b859": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "Downloading: 100%",
            "description_tooltip": null,
            "layout": "IPY_MODEL_97b32b1d3e594920a5af47b28a8472e8",
            "max": 231508,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_d62a84158f004239968761ca1b4d2943",
            "value": 231508
          },
          "model_module_version": "1.5.0"
        },
        "bcdc048b500048a082802103b2690709": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "Downloading: 100%",
            "description_tooltip": null,
            "layout": "IPY_MODEL_68599e1e50db4ad38d382800809c12e6",
            "max": 1344997306,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_b74778dcf1df487a81103226e9a3d4da",
            "value": 1344997306
          },
          "model_module_version": "1.5.0"
        },
        "d3dbc847184b4626b81d538a58c7255e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_4a78bc38fe6d4b99870fff46ea4cac9c",
            "placeholder": "​",
            "style": "IPY_MODEL_0722db5548754ad9a3f3658324c0db75",
            "value": " 28.0/28.0 [00:00&lt;00:00, 33.8B/s]"
          },
          "model_module_version": "1.5.0"
        },
        "d62a84158f004239968761ca1b4d2943": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": "initial"
          },
          "model_module_version": "1.5.0"
        },
        "d9c9294c30ba4a8984a0a44d36f321d4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_65f501ef2c9a4cc3b98d0510c6b2e2d9",
              "IPY_MODEL_6cae416aa86246109d7e12b7ca13c1c5"
            ],
            "layout": "IPY_MODEL_530355d65f0345229aa5de62e3e437b1"
          },
          "model_module_version": "1.5.0"
        },
        "debf7d0d20744f0d9dc5b336fcd34e94": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "Downloading: 100%",
            "description_tooltip": null,
            "layout": "IPY_MODEL_f16cb42061e0455d8a3d1703433878b2",
            "max": 28,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_eb7da0565370411a89b0bd80f48f0d26",
            "value": 28
          },
          "model_module_version": "1.5.0"
        },
        "e1184b2bd1a64c22ace070152b59d512": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "e40004e2b1764e009b6bf6e047eabd56": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "e7a2d7af88ed43d79de94397fdaf2355": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": "initial"
          },
          "model_module_version": "1.5.0"
        },
        "e806498c6c9f4c49b9fe838a5c6fb8db": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_e40004e2b1764e009b6bf6e047eabd56",
            "placeholder": "​",
            "style": "IPY_MODEL_8000eec2f178496ba5d17e84e63a31f8",
            "value": " 232k/232k [00:00&lt;00:00, 386kB/s]"
          },
          "model_module_version": "1.5.0"
        },
        "eb7da0565370411a89b0bd80f48f0d26": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": "initial"
          },
          "model_module_version": "1.5.0"
        },
        "f16cb42061e0455d8a3d1703433878b2": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        },
        "f333f28c10724809a2702f1a29dd42b9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_019b7795705a44e3a884598b73167dbd",
            "placeholder": "​",
            "style": "IPY_MODEL_72088eb13be2477d8252f8c18b029a4f",
            "value": " 571/571 [00:00&lt;00:00, 1.13kB/s]"
          },
          "model_module_version": "1.5.0"
        },
        "fc057999489949ef9a8491ffcac86b35": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          },
          "model_module_version": "1.2.0"
        }
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}