PRE_PROCESSING.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4B1w-G5SIQI5"
   },
   "source": [
    "# Preprocessing notebook\n",
    "\n",
    "<font color='red'>**Attention: This notebook runs faster on a GPU, and even faster on a TPU. By default, this notebook runs on the CPU, since variables USE_TPU and USE_GPU are set to 0 in the next cell. Change them accordingly.**</font>\n",
    "\n",
    "On Colab, to use a TPU node:\n",
    "Go to Runtime -> Change Runtime Type and choose \"Hardware Accelerator: TPU\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "W-LFTNdUEoug"
   },
   "outputs": [],
   "source": [
    "USE_TPU = 0\n",
    "USE_GPU = 0\n",
    "\n",
    "assert (USE_TPU == 0) | (USE_GPU == 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "yWv8CKeGGXq3"
   },
   "outputs": [],
   "source": [
    "ON_COLAB=False\n",
    "if ON_COLAB:\n",
    "    from google.colab import drive\n",
    "    drive.mount('/content/drive',force_remount=True)\n",
    "    BASEDIR='/content/drive/My Drive/MentalHealthShared/'\n",
    "    PYTHONDIR=BASEDIR+'src'\n",
    "    RESULTSDIR=BASEDIR+'results/'\n",
    "    MODELSDIR=BASEDIR+'model/'\n",
    "    DATADIR=BASEDIR+'data/'\n",
    "    import utils\n",
    "    from pre_processing import findLast, convert_utc, check_missing_threads\n",
    "else:\n",
    "    import os\n",
    "    BASEDIR = os.getcwd() + \"/\"\n",
    "    dirs = [\"results\",\"model\",\"data\"]\n",
    "    for dirc in dirs:\n",
    "        if dirc not in os.listdir(): \n",
    "            os.makedirs(os.path.join(BASEDIR,dirc))\n",
    "    PYTHONDIR=BASEDIR+'src/'\n",
    "    RESULTSDIR=BASEDIR+'results/'\n",
    "    MODELSDIR=BASEDIR+'model/'\n",
    "    DATADIR=BASEDIR+'data/'\n",
    "    from src import utils\n",
    "    from src.pre_processing import findLast, convert_utc, check_missing_threads"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 86347,
     "status": "ok",
     "timestamp": 1618861974722,
     "user": {
      "displayName": "Henrique Silva",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14Gh0sTZzx8mKsKV9-j3HdK09d6njRJoJnyBA8jbau1I=s64",
      "userId": "15429421149160718308"
     },
     "user_tz": 180
    },
    "id": "PNrVe0Ab3G5n",
    "outputId": "5374628c-02d8-4c2e-bf64-bf1a9123a789"
   },
   "outputs": [],
   "source": [
    "if USE_TPU:\n",
    "      !curl https://raw.githubusercontent.com/pytorch/xla/master/contrib/scripts/env-setup.py -o pytorch-xla-env-setup.py\n",
    "      !python pytorch-xla-env-setup.py #--version $VERSION\n",
    "\n",
    "      # imports pytorch\n",
    "      import torch\n",
    "      # imports the torch_xla package\n",
    "      import torch_xla\n",
    "      import torch_xla.core.xla_model as xm\n",
    "\n",
    "      device = xm.xla_device()\n",
    "      torch_xla._XLAC._xla_set_default_device(str(device))\n",
    "\n",
    "else:\n",
    "      import torch\n",
    "      device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "      print(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "8TxqJ5tK4Kt2"
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append(PYTHONDIR)\n",
    "import random\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from tqdm.notebook import tqdm\n",
    "import pickle\n",
    "import time\n",
    "import pdb\n",
    "import importlib\n",
    "import pprint\n",
    "import re\n",
    "\n",
    "import torch.optim as optim\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "\n",
    "SEED = 1234\n",
    "\n",
    "random.seed(SEED)\n",
    "np.random.seed(SEED)\n",
    "torch.manual_seed(SEED)\n",
    "torch.backends.cudnn.deterministic = True\n",
    "torch.cuda.manual_seed(SEED)\n",
    "torch.backends.cudnn.deterministic = True\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 313,
     "referenced_widgets": [
      "8b9e35f716914bf8a661b65f43ce8925",
      "9496a1df6856462da2d655bdafc3e950",
      "5117ca91c628452a80a86af7d16ac884",
      "8eef2ee2f35048d1bcad2d480275a2a6",
      "1b4f6c5cef3b415898ef708314035e14",
      "c06d7f792a134b7d916f4c558ecd2a47",
      "cdd30140fc9d45c9a0e2edec519cd591",
      "7572de7cb2a6481799970742f23ae08a",
      "26ee674273674439917d73b518ab9a36",
      "51d2de0205454885bc88e44369f122a9",
      "2c5b2d1144f048ab878b1e0b61f6e991",
      "3bf3c1fc248a457685a7fb1b0e43ac51",
      "bc5dd0ba96b6487681306795acae9def",
      "90f22b4c2210440ab26a1f8a9d7d065f",
      "c0870a6e7a814cafa4fd543d33d4e1d4",
      "123b5913b4654732a9634dc404816a03",
      "3031edb4ab8d4feca8b5de839efa20fc",
      "0763b7f2c708444b98bde60ad4fa76a0",
      "c497ae7a368b4f7099a5c24355656007",
      "21dc08f5c4a14336b0db3dca32f29dbf",
      "3c355fd880d9462d80b6b91595aa7179",
      "8187da7e7167486fa6e0c4dbfcbb57dd",
      "2cc734c262df4f4a8d26c442e1b6208f",
      "14266a428fff4dfd8df64d9c5cb0a833",
      "2bd629d065c047729aca72e3187657cf",
      "4afbdaa744d141f98bdd3bc0c3209269",
      "5103b68f1c114b0f93df53be67c7a4c7",
      "14d30e99242e4967b0e9f10f1bbb9260",
      "b0585e3d0d0943e68833a99f4ce19e64",
      "e38a215366cb4fe8aa2ad9a08b7e6b73",
      "4815ea9d91914bfd9e01cb218146a162",
      "c72e22ed9c154dcba5713026b7da650f",
      "feec62571cdf4bbe8a42e86b15512982",
      "506e52d9a5af41609672e74b2267a628",
      "f15ae383da6644e19922aa178aa545a8",
      "79a0a0d4c2e34d418d1e1969f39edf21",
      "0fd0976c02e74a1e9b4ed7624fc2ec61",
      "66b5a95d8d18477685744e252c693201",
      "53dada9f91e24f3494c3cc10f2a01354",
      "b779a07a90254c308c42647489be6fc4"
     ]
    },
    "executionInfo": {
     "elapsed": 30811,
     "status": "ok",
     "timestamp": 1618862007726,
     "user": {
      "displayName": "Henrique Silva",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14Gh0sTZzx8mKsKV9-j3HdK09d6njRJoJnyBA8jbau1I=s64",
      "userId": "15429421149160718308"
     },
     "user_tz": 180
    },
    "id": "SC1QfcMc3Veq",
    "outputId": "7570bf75-940d-41e7-9b8e-deaf74344377"
   },
   "outputs": [],
   "source": [
    "# loading DistilBERT to obtain embeddings\n",
    "!pip install -q transformers\n",
    "# Use DistilBERT para representar cada post e comentario\n",
    "from transformers import DistilBertModel, DistilBertTokenizer\n",
    "\n",
    "tokenizer = DistilBertTokenizer.from_pretrained('distilbert-base-uncased')\n",
    "model = DistilBertModel.from_pretrained('distilbert-base-uncased')\n",
    "model = model.to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 31895,
     "status": "ok",
     "timestamp": 1618862008820,
     "user": {
      "displayName": "Henrique Silva",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14Gh0sTZzx8mKsKV9-j3HdK09d6njRJoJnyBA8jbau1I=s64",
      "userId": "15429421149160718308"
     },
     "user_tz": 180
    },
    "id": "y0NJginMFp68",
    "outputId": "8add7e96-d595-4656-c886-09768ec8a73b"
   },
   "outputs": [],
   "source": [
    "# loading VADER for sentiment analysis\n",
    "from nltk.sentiment.vader import SentimentIntensityAnalyzer\n",
    "import nltk\n",
    "nltk.download('vader_lexicon')\n",
    "nltk.download('punkt')\n",
    "\n",
    "# initialize VADER\n",
    "sid = SentimentIntensityAnalyzer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "_bV-tjyoEpmR"
   },
   "outputs": [],
   "source": [
    "def create_subreddit_df(reddit, infile_extension, suffix=''):\n",
    "    infile_extension = infile_extension.lstrip('.')\n",
    "\n",
    "    print('Loading dicts...')\n",
    "    with open(f'{DATADIR}{reddit}_post2data{suffix}.{infile_extension}','rb') as infile:\n",
    "        post2data = pickle.load(infile)\n",
    "    with open(f'{DATADIR}{reddit}_post2comments{suffix}.{infile_extension}','rb') as infile:\n",
    "        post2comments = pickle.load(infile)\n",
    "    with open(f'{DATADIR}{reddit}_comment2data{suffix}.{infile_extension}','rb') as infile:\n",
    "        comment2data = pickle.load(infile)\n",
    "\n",
    "\n",
    "    outpath=f'{DATADIR}{reddit}{suffix}_distilbert_filtered_posts.parquet'\n",
    "    print(f'Dataframe will be saved in {outpath}')\n",
    "\n",
    "    print('creating df from post2data...')\n",
    "    df = pd.DataFrame(list(post2data.values()), index=post2data.keys())\n",
    "    df = df.rename( columns={'selftext':'text'})\n",
    "    print(1, len(df))\n",
    "\n",
    "\n",
    "    #df = df.drop(columns='num_comments')\n",
    "\n",
    "    # join with list of comments\n",
    "    print('joining with post2comments...')\n",
    "    tmp = pd.Series(post2comments,name='comments')\n",
    "    df = df.join(tmp, how='inner')\n",
    "    print(2, len(df))\n",
    "\n",
    "    post_df = df\n",
    "\n",
    "    print('creating df from comment2data...')\n",
    "    df = pd.DataFrame(list(comment2data.values()), index=comment2data.keys())\n",
    "    df = df.rename( columns={'body':'text'})\n",
    "    # THE FOLLOWING 2 LINES MUST BE USED ONLY IF THE LINK_IDS HAVE A PREFIX\n",
    "    #   df[\"link_id\"] = df[\"link_id\"].apply(lambda x:x[3:])\n",
    "    #   df[\"parent_id\"] = df[\"parent_id\"].apply(lambda x:x[3:]) \n",
    "    print(3, len(df))\n",
    "\n",
    "\n",
    "    print('remove comments that correspond to inexistent threads...')\n",
    "    post_ids = set(post_df.index)\n",
    "    df = df[df.link_id.isin(post_ids)]\n",
    "    print(4, len(df))\n",
    "\n",
    "\n",
    "    print('compute is_post_author...')\n",
    "    df = df.join(post_df['author'], 'link_id', rsuffix='_post')\n",
    "    df['is_post_author'] = (df.author == df.author_post)\n",
    "    df = df.drop('author_post', axis=1)\n",
    "\n",
    "\n",
    "    comment_df = df\n",
    "\n",
    "    print('remove  posts without text...')\n",
    "    post_df = post_df.dropna()\n",
    "    # post_df.num_comments = post_df.num_comments.astype(int)\n",
    "    print(5, len(post_df))\n",
    "\n",
    "    print('remove posts with less than 2 comments...')\n",
    "    # remove posts with less than 2 comments\n",
    "    post_df['num_comments'] = post_df['comments'].apply(len) # use this as num_comments\n",
    "    post_df = post_df[post_df['num_comments'] >= 2]\n",
    "    print(6, len(post_df))\n",
    "\n",
    "    print('remove posts with small text...')\n",
    "    post_df = post_df[post_df['text'].apply(len) >= 2]\n",
    "    print(7, len(post_df))\n",
    "\n",
    "    print('remove removed or deleted posts...')\n",
    "    post_df = post_df[(post_df['text'] != '[removed]') & (post_df['text'] != '[deleted]')]\n",
    "    print(8, len(post_df))\n",
    "\n",
    "\n",
    "    print('remove deleted authors...')\n",
    "    post_df = post_df[(post_df['author'] != '[deleted]')]\n",
    "    print(9, len(post_df))\n",
    "\n",
    "    print('calculate sequence length when there are other commenters followed by post author...')\n",
    "    #   check_missing_threads(post_df,comment_df)\n",
    "    post_df['seq_len'] = post_df.apply(lambda x: utils.getThreadLen(x, comment_df),axis=1)\n",
    "\n",
    "    print('remove invalid threads...')\n",
    "    post_df = post_df.dropna()\n",
    "    print(10, len(post_df))\n",
    "\n",
    "    print('remove comments without body...')\n",
    "    comment_df = comment_df.dropna()\n",
    "    print(11,len(comment_df))\n",
    "\n",
    "    print('remove comments that correspond to deleted threads...')\n",
    "    post_ids = set(post_df.index)\n",
    "    comment_df = comment_df[comment_df.link_id.isin(post_ids)]\n",
    "    print(12,len(comment_df))\n",
    "\n",
    "    print('computing score...')\n",
    "    post_df['score']    =    post_df['text'].apply(lambda x: utils.calculateParagraphScore(x,sid))\n",
    "    comment_df['score'] = comment_df['text'].apply(lambda x: utils.calculateParagraphScore(x,sid))\n",
    "\n",
    "    print(\"remove posts whose scores and posts whose comments' scores couldn't be computed...\")\n",
    "    posts_to_remove = list(post_df[post_df.score.isna()].index)\n",
    "    posts_to_remove += list(comment_df[comment_df.score.isna()]['link_id'].values)\n",
    "    post_df = post_df.drop(posts_to_remove)\n",
    "    print(13,len(post_df))\n",
    "\n",
    "    print('remove comments whose posts were removed...')\n",
    "    comment_df = comment_df[~comment_df.link_id.isin(posts_to_remove)]\n",
    "    print(14,len(comment_df))\n",
    "\n",
    "    print('concatenating post and comment columns...')\n",
    "    post_df['parent_id'] = post_df.apply(lambda x: [comment_df.loc[cid, 'parent_id'] for cid in x.comments], axis=1)\n",
    "    post_df['is_post_author'] = post_df.apply(lambda x: [True] + [comment_df.loc[cid, 'is_post_author'] for cid in x.comments], axis=1)\n",
    "    post_df.score = post_df.apply(lambda x: [x.score] + [comment_df.loc[cid, 'score'] for cid in x.comments], axis=1)\n",
    "    # post_df.score_noavg = post_df.apply(lambda x: [x.score_noavg] + [comment_df.loc[cid, 'score_noavg'] for cid in x.comments], axis=1)\n",
    "    post_df.created_utc = post_df.apply(lambda x: [x.created_utc] + [comment_df.loc[cid, 'created_utc'] for cid in x.comments], axis=1)\n",
    "\n",
    "    # # ATTENTION! new seq_len includes post and last_comment\n",
    "    # # for instance sequence [p, c0, c1, c2, ..., cn]\n",
    "    # # where cn is the last comment made by author has seq_len=n+2\n",
    "\n",
    "    # compute new seq_len:\n",
    "    print('computing seq_len...')\n",
    "    post_df['seq_len'] = post_df.is_post_author.apply(findLast)+1\n",
    "    post_df['seq_len'] = post_df.seq_len.astype(int)\n",
    "\n",
    "    print('computing DistilBERT features...')\n",
    "    post_df['features'] = utils.extractFeatures(post_df, tokenizer, model, device, batch_size = 512)\n",
    "    comment_df['features'] = utils.extractFeatures(comment_df, tokenizer, model, device, batch_size = 512)\n",
    "\n",
    "    print('concatenating post and comment features...')\n",
    "    post_df.features = post_df.apply(lambda x: [x.features] + [comment_df.loc[cid, 'features'] for cid in x.comments], axis=1)\n",
    "\n",
    "\n",
    "    print('computing additional features for pre-filtering...')\n",
    "    seqlen_series = utils.getNonOverlappingThreads(post_df)\n",
    "    #   post_df = post_df.apply(lambda x: convert_utc(x),axis=1)\n",
    "    are_intervals_short = post_df.apply(lambda x: utils.areIntervalsShort(x,seqlen_series), axis=1)\n",
    "    are_intervals_short = are_intervals_short.dropna()\n",
    "\n",
    "    seqlen_series = seqlen_series[(seqlen_series>=2) & are_intervals_short]\n",
    "    seqlen_series.name = 'filtered_seqlen'\n",
    "    post_df = post_df.join(seqlen_series)\n",
    "\n",
    "    validbranches_series = post_df.apply(utils.getValidBranches,axis=1)\n",
    "    validbranches_series.name = 'valid_branches'\n",
    "    post_df = post_df.join(validbranches_series)\n",
    "\n",
    "    columns_to_drop = [column for column in ['pos','neg','neu','compound','num_comments','score_noavg'] if column in post_df.columns]\n",
    "    if columns_to_drop:\n",
    "        print('Dropping superfluous columns...')\n",
    "        post_df = post_df.drop(columns=columns_to_drop)\n",
    "\n",
    "    pdb.set_trace()\n",
    "    post_df.to_parquet(outpath)\n",
    "\n",
    "    return post_df "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "JzWJ-MT2JHB_"
   },
   "outputs": [],
   "source": [
    "import pdb\n",
    "SUBREDDITS = [\"depression\",\"Anxiety\",\"SuicideWatch\",\"bipolar\"]\n",
    "for subreddit in SUBREDDITS:\n",
    "    create_subreddit_df(subreddit,'pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Experiments on the effect of ettiquete words\n",
    "\n",
    "**THE NEXT SECTION IS DEVOTED TO THE EXPERIMENTS DONE IN REGARDS TO THE EFFECT THAT ETTIQUETE WORDS HAVE ON VADER. NOT NECESSARY FOR THE MAIN MODEL**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "RUN_ETTIQUETE_EXPS = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "a4pMeKroTuqX"
   },
   "outputs": [],
   "source": [
    "def filter_etiquette(subreddits,return_filtered_subreddits=False,etiquette_list = [\"Thank You\",\"Thank you\",\"Thanks\",\"Thx\",\"Thankyou\", \"thank you\", \"thanks\", \"thx\", \"thankyou\"],file_type = '_comment2data',file_extension='p'):\n",
    "    if(type(subreddits) != type(list())):\n",
    "        subreddits = [subreddits]\n",
    "    print(\"Initializing...\")\n",
    "    total_perc = []\n",
    "    filtered_subs = {}\n",
    "    for subreddit in subreddits:\n",
    "        print(f\"Getting r/{subreddit} data...\")\n",
    "        with open(f'{DATADIR}no_thx_2017/{subreddit}_{file_type}.{file_extension}','rb') as infile:\n",
    "            curr_sub_comments = pickle.load(infile)\n",
    "        num_comments_with_etiquette = 0\n",
    "        total_comments = len(curr_sub_comments)\n",
    "        for key,comment in tqdm(curr_sub_comments.items()):\n",
    "            for etiquette_word in etiquette_list:\n",
    "                if etiquette_word in comment['text']:\n",
    "                    num_comments_with_etiquette += 1\n",
    "                    curr_sub_comments[str(key)]['text'] = comment['text'].replace(etiquette_word,\"\")\n",
    "            if re.search(r\"\\b\" + re.escape(\"ty\") + r\"\\b\",comment['text']):\n",
    "                num_comments_with_etiquette += 1\n",
    "                curr_sub_comments[str(key)]['text'] = re.sub(r\"\\b\" + re.escape(\"ty\") + r\"\\b\",\"\",comment['text'])\n",
    "            if re.search(r\"\\b\" + re.escape(\"Ty\") + r\"\\b\",comment['text']):\n",
    "                num_comments_with_etiquette += 1\n",
    "                curr_sub_comments[str(key)]['text'] = re.sub(r\"\\b\" + re.escape(\"Ty\") + r\"\\b\",\"\",comment['text'])\n",
    "        \n",
    "        print(f\"Percentage of posts or comments filtered in r/{subreddit}: {(num_comments_with_etiquette/total_comments) * 100}%\")\n",
    "        total_perc.append([num_comments_with_etiquette,total_comments])\n",
    "        print(\"Saving changes...\")\n",
    "        #pickle.dump(curr_sub_comments,open(DATADIR+ \"no_thx_2017/\" + f'{subreddit}_{file_type}.{file_extension}','wb'))\n",
    "        filtered_subs[subreddit] = curr_sub_comments\n",
    "        print(f\"Done with r/{subreddit}\")\n",
    "    print(f\"Total Percentage of posts or comments with etiquette words: {sum([total_perc[x][0] for x in range(len(total_perc))])/sum([total_perc[x][1] for x in range(len(total_perc))]) * 100}%\")\n",
    "    print(\"Done!\")\n",
    "    if(return_filtered_subreddits):\n",
    "        return filtered_subs\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "s-HeVx7payhO"
   },
   "outputs": [],
   "source": [
    "if RUN_ETTIQUETE_EXPS:\n",
    "    subreddits = ['Anxiety','bipolar','depression','SuicideWatch']\n",
    "    filter_etiquette(subreddits,file_type=\"comment2data\",return_filtered_subreddits=True)"
   ]
  }
 ],
 "metadata": {
  "accelerator": "TPU",
  "colab": {
   "collapsed_sections": [],
   "machine_shape": "hm",
   "name": "GetEmbeddings.ipynb",
   "provenance": [],
   "toc_visible": true
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.4"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "0763b7f2c708444b98bde60ad4fa76a0": {
     "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
     }
    },
    "0fd0976c02e74a1e9b4ed7624fc2ec61": {
     "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"
     }
    },
    "123b5913b4654732a9634dc404816a03": {
     "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
     }
    },
    "14266a428fff4dfd8df64d9c5cb0a833": {
     "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
     }
    },
    "14d30e99242e4967b0e9f10f1bbb9260": {
     "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_c72e22ed9c154dcba5713026b7da650f",
      "placeholder": "​",
      "style": "IPY_MODEL_4815ea9d91914bfd9e01cb218146a162",
      "value": " 442/442 [00:00&lt;00:00, 1.18kB/s]"
     }
    },
    "1b4f6c5cef3b415898ef708314035e14": {
     "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"
     }
    },
    "21dc08f5c4a14336b0db3dca32f29dbf": {
     "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_14266a428fff4dfd8df64d9c5cb0a833",
      "placeholder": "​",
      "style": "IPY_MODEL_2cc734c262df4f4a8d26c442e1b6208f",
      "value": " 466k/466k [00:00&lt;00:00, 2.70MB/s]"
     }
    },
    "26ee674273674439917d73b518ab9a36": {
     "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_2c5b2d1144f048ab878b1e0b61f6e991",
       "IPY_MODEL_3bf3c1fc248a457685a7fb1b0e43ac51"
      ],
      "layout": "IPY_MODEL_51d2de0205454885bc88e44369f122a9"
     }
    },
    "2bd629d065c047729aca72e3187657cf": {
     "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_5103b68f1c114b0f93df53be67c7a4c7",
       "IPY_MODEL_14d30e99242e4967b0e9f10f1bbb9260"
      ],
      "layout": "IPY_MODEL_4afbdaa744d141f98bdd3bc0c3209269"
     }
    },
    "2c5b2d1144f048ab878b1e0b61f6e991": {
     "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_90f22b4c2210440ab26a1f8a9d7d065f",
      "max": 28,
      "min": 0,
      "orientation": "horizontal",
      "style": "IPY_MODEL_bc5dd0ba96b6487681306795acae9def",
      "value": 28
     }
    },
    "2cc734c262df4f4a8d26c442e1b6208f": {
     "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": ""
     }
    },
    "3031edb4ab8d4feca8b5de839efa20fc": {
     "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_c497ae7a368b4f7099a5c24355656007",
       "IPY_MODEL_21dc08f5c4a14336b0db3dca32f29dbf"
      ],
      "layout": "IPY_MODEL_0763b7f2c708444b98bde60ad4fa76a0"
     }
    },
    "3bf3c1fc248a457685a7fb1b0e43ac51": {
     "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_123b5913b4654732a9634dc404816a03",
      "placeholder": "​",
      "style": "IPY_MODEL_c0870a6e7a814cafa4fd543d33d4e1d4",
      "value": " 28.0/28.0 [00:00&lt;00:00, 66.6B/s]"
     }
    },
    "3c355fd880d9462d80b6b91595aa7179": {
     "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"
     }
    },
    "4815ea9d91914bfd9e01cb218146a162": {
     "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": ""
     }
    },
    "4afbdaa744d141f98bdd3bc0c3209269": {
     "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
     }
    },
    "506e52d9a5af41609672e74b2267a628": {
     "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
     }
    },
    "5103b68f1c114b0f93df53be67c7a4c7": {
     "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_e38a215366cb4fe8aa2ad9a08b7e6b73",
      "max": 442,
      "min": 0,
      "orientation": "horizontal",
      "style": "IPY_MODEL_b0585e3d0d0943e68833a99f4ce19e64",
      "value": 442
     }
    },
    "5117ca91c628452a80a86af7d16ac884": {
     "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_c06d7f792a134b7d916f4c558ecd2a47",
      "max": 231508,
      "min": 0,
      "orientation": "horizontal",
      "style": "IPY_MODEL_1b4f6c5cef3b415898ef708314035e14",
      "value": 231508
     }
    },
    "51d2de0205454885bc88e44369f122a9": {
     "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
     }
    },
    "53dada9f91e24f3494c3cc10f2a01354": {
     "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": ""
     }
    },
    "66b5a95d8d18477685744e252c693201": {
     "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
     }
    },
    "7572de7cb2a6481799970742f23ae08a": {
     "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
     }
    },
    "79a0a0d4c2e34d418d1e1969f39edf21": {
     "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_b779a07a90254c308c42647489be6fc4",
      "placeholder": "​",
      "style": "IPY_MODEL_53dada9f91e24f3494c3cc10f2a01354",
      "value": " 268M/268M [00:17&lt;00:00, 15.1MB/s]"
     }
    },
    "8187da7e7167486fa6e0c4dbfcbb57dd": {
     "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
     }
    },
    "8b9e35f716914bf8a661b65f43ce8925": {
     "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_5117ca91c628452a80a86af7d16ac884",
       "IPY_MODEL_8eef2ee2f35048d1bcad2d480275a2a6"
      ],
      "layout": "IPY_MODEL_9496a1df6856462da2d655bdafc3e950"
     }
    },
    "8eef2ee2f35048d1bcad2d480275a2a6": {
     "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_7572de7cb2a6481799970742f23ae08a",
      "placeholder": "​",
      "style": "IPY_MODEL_cdd30140fc9d45c9a0e2edec519cd591",
      "value": " 232k/232k [00:00&lt;00:00, 242kB/s]"
     }
    },
    "90f22b4c2210440ab26a1f8a9d7d065f": {
     "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
     }
    },
    "9496a1df6856462da2d655bdafc3e950": {
     "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
     }
    },
    "b0585e3d0d0943e68833a99f4ce19e64": {
     "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"
     }
    },
    "b779a07a90254c308c42647489be6fc4": {
     "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
     }
    },
    "bc5dd0ba96b6487681306795acae9def": {
     "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"
     }
    },
    "c06d7f792a134b7d916f4c558ecd2a47": {
     "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
     }
    },
    "c0870a6e7a814cafa4fd543d33d4e1d4": {
     "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": ""
     }
    },
    "c497ae7a368b4f7099a5c24355656007": {
     "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_8187da7e7167486fa6e0c4dbfcbb57dd",
      "max": 466062,
      "min": 0,
      "orientation": "horizontal",
      "style": "IPY_MODEL_3c355fd880d9462d80b6b91595aa7179",
      "value": 466062
     }
    },
    "c72e22ed9c154dcba5713026b7da650f": {
     "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
     }
    },
    "cdd30140fc9d45c9a0e2edec519cd591": {
     "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": ""
     }
    },
    "e38a215366cb4fe8aa2ad9a08b7e6b73": {
     "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
     }
    },
    "f15ae383da6644e19922aa178aa545a8": {
     "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_66b5a95d8d18477685744e252c693201",
      "max": 267967963,
      "min": 0,
      "orientation": "horizontal",
      "style": "IPY_MODEL_0fd0976c02e74a1e9b4ed7624fc2ec61",
      "value": 267967963
     }
    },
    "feec62571cdf4bbe8a42e86b15512982": {
     "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_f15ae383da6644e19922aa178aa545a8",
       "IPY_MODEL_79a0a0d4c2e34d418d1e1969f39edf21"
      ],
      "layout": "IPY_MODEL_506e52d9a5af41609672e74b2267a628"
     }
    }
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}