notebooks/Tract-segm_statistic-predictions.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a68e1883",
   "metadata": {
    "papermill": {
     "duration": 0.022293,
     "end_time": "2022-04-27T02:38:21.650758",
     "exception": false,
     "start_time": "2022-04-27T02:38:21.628465",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Tract🩻Segm: Statistic ⚖️ predictions\n",
    "\n",
    "This is a simple statistical kernel, where we assume that all bodies are approximately aligned...\n",
    "\n",
    "Then we reconstruct all annotations in their 3D form and scale them to an average shape, and accumulate label appearance per each class.\n",
    "\n",
    "Later, when we are asked for a prediction, we take an average segmentation, thresholding over a given level of presence.\n",
    "\n",
    "As an extension, we can accumulate these stats over time, so  each day will have its own accumulation and we can use linear extrapolation if needed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2a8fc1b5",
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
    "papermill": {
     "duration": 0.039107,
     "end_time": "2022-04-27T02:38:21.711070",
     "exception": false,
     "start_time": "2022-04-27T02:38:21.671963",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import glob\n",
    "import os\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "DATASET_FOLDER = \"/home/jirka/Datasets/uw-madison-gi-tract-image-segmentation\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "33bf864c",
   "metadata": {
    "papermill": {
     "duration": 0.64862,
     "end_time": "2022-04-27T02:38:22.381160",
     "exception": false,
     "start_time": "2022-04-27T02:38:21.732540",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "size: 115488\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>class</th>\n",
       "      <th>segmentation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>case123_day20_slice_0001</td>\n",
       "      <td>large_bowel</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>case123_day20_slice_0001</td>\n",
       "      <td>small_bowel</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>case123_day20_slice_0001</td>\n",
       "      <td>stomach</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         id        class segmentation\n",
       "0  case123_day20_slice_0001  large_bowel          NaN\n",
       "1  case123_day20_slice_0001  small_bowel          NaN\n",
       "2  case123_day20_slice_0001      stomach          NaN"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "size: 0\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>class</th>\n",
       "      <th>predicted</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [id, class, predicted]\n",
       "Index: []"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_train = pd.read_csv(os.path.join(DATASET_FOLDER, \"train.csv\"))\n",
    "print(f\"size: {len(df_train)}\")\n",
    "display(df_train.head(3))\n",
    "\n",
    "df_ssub = pd.read_csv(os.path.join(DATASET_FOLDER, \"sample_submission.csv\"))\n",
    "print(f\"size: {len(df_ssub)}\")\n",
    "display(df_ssub.head(3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fce36dfd",
   "metadata": {
    "_kg_hide-input": true,
    "papermill": {
     "duration": 0.042785,
     "end_time": "2022-04-27T02:38:22.447819",
     "exception": false,
     "start_time": "2022-04-27T02:38:22.405034",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def enrich_data(df, sdir=\"train\"):\n",
    "    imgs = glob.glob(os.path.join(DATASET_FOLDER, sdir, \"case*\", \"case*_day*\", \"scans\", \"*.png\"))\n",
    "    img_folders = [os.path.dirname(p).split(os.path.sep) for p in imgs]\n",
    "    img_names = [os.path.splitext(os.path.basename(p))[0].split(\"_\") for p in imgs]\n",
    "    img_keys = [f\"{f[-2]}_slice_{n[1]}\" for f, n in zip(img_folders, img_names)]\n",
    "\n",
    "    print(img_keys[:5])\n",
    "    df[\"img_path\"] = df[\"id\"].map({k: p for k, p in zip(img_keys, imgs)})\n",
    "    df[\"Case_Day\"] = df[\"id\"].map({k: f[-2] for k, f in zip(img_keys, img_folders)})\n",
    "    df[\"Case\"] = df[\"id\"].apply(lambda x: int(x.split(\"_\")[0].replace(\"case\", \"\")))\n",
    "    df[\"Day\"] = df[\"id\"].apply(lambda x: int(x.split(\"_\")[1].replace(\"day\", \"\")))\n",
    "    df[\"Slice\"] = df[\"id\"].map({k: int(n[1]) for k, n in zip(img_keys, img_names)})\n",
    "    df[\"width\"] = df[\"id\"].map({k: int(n[2]) for k, n in zip(img_keys, img_names)})\n",
    "    df[\"height\"] = df[\"id\"].map({k: int(n[3]) for k, n in zip(img_keys, img_names)})\n",
    "    df[\"spacing1\"] = df[\"id\"].map({k: float(n[4]) for k, n in zip(img_keys, img_names)})\n",
    "    df[\"spacing2\"] = df[\"id\"].map({k: float(n[5]) for k, n in zip(img_keys, img_names)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cf8a9a00",
   "metadata": {
    "papermill": {
     "duration": 5.082648,
     "end_time": "2022-04-27T02:38:27.553543",
     "exception": false,
     "start_time": "2022-04-27T02:38:22.470895",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['case18_day25_slice_0032', 'case18_day25_slice_0001', 'case18_day25_slice_0099', 'case18_day25_slice_0061', 'case18_day25_slice_0023']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>class</th>\n",
       "      <th>segmentation</th>\n",
       "      <th>img_path</th>\n",
       "      <th>Case_Day</th>\n",
       "      <th>Case</th>\n",
       "      <th>Day</th>\n",
       "      <th>Slice</th>\n",
       "      <th>width</th>\n",
       "      <th>height</th>\n",
       "      <th>spacing1</th>\n",
       "      <th>spacing2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>case123_day20_slice_0001</td>\n",
       "      <td>large_bowel</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/home/jirka/Datasets/uw-madison-gi-tract-image...</td>\n",
       "      <td>case123_day20</td>\n",
       "      <td>123</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>266</td>\n",
       "      <td>266</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>case123_day20_slice_0001</td>\n",
       "      <td>small_bowel</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/home/jirka/Datasets/uw-madison-gi-tract-image...</td>\n",
       "      <td>case123_day20</td>\n",
       "      <td>123</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>266</td>\n",
       "      <td>266</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>case123_day20_slice_0001</td>\n",
       "      <td>stomach</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/home/jirka/Datasets/uw-madison-gi-tract-image...</td>\n",
       "      <td>case123_day20</td>\n",
       "      <td>123</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>266</td>\n",
       "      <td>266</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>case123_day20_slice_0002</td>\n",
       "      <td>large_bowel</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/home/jirka/Datasets/uw-madison-gi-tract-image...</td>\n",
       "      <td>case123_day20</td>\n",
       "      <td>123</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>266</td>\n",
       "      <td>266</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>case123_day20_slice_0002</td>\n",
       "      <td>small_bowel</td>\n",
       "      <td>NaN</td>\n",
       "      <td>/home/jirka/Datasets/uw-madison-gi-tract-image...</td>\n",
       "      <td>case123_day20</td>\n",
       "      <td>123</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>266</td>\n",
       "      <td>266</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         id        class segmentation  \\\n",
       "0  case123_day20_slice_0001  large_bowel          NaN   \n",
       "1  case123_day20_slice_0001  small_bowel          NaN   \n",
       "2  case123_day20_slice_0001      stomach          NaN   \n",
       "3  case123_day20_slice_0002  large_bowel          NaN   \n",
       "4  case123_day20_slice_0002  small_bowel          NaN   \n",
       "\n",
       "                                            img_path       Case_Day  Case  \\\n",
       "0  /home/jirka/Datasets/uw-madison-gi-tract-image...  case123_day20   123   \n",
       "1  /home/jirka/Datasets/uw-madison-gi-tract-image...  case123_day20   123   \n",
       "2  /home/jirka/Datasets/uw-madison-gi-tract-image...  case123_day20   123   \n",
       "3  /home/jirka/Datasets/uw-madison-gi-tract-image...  case123_day20   123   \n",
       "4  /home/jirka/Datasets/uw-madison-gi-tract-image...  case123_day20   123   \n",
       "\n",
       "   Day  Slice  width  height  spacing1  spacing2  \n",
       "0   20      1    266     266       1.5       1.5  \n",
       "1   20      1    266     266       1.5       1.5  \n",
       "2   20      1    266     266       1.5       1.5  \n",
       "3   20      2    266     266       1.5       1.5  \n",
       "4   20      2    266     266       1.5       1.5  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='None'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enrich_data(df_train, \"train\")\n",
    "display(df_train.head())\n",
    "\n",
    "fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(12, 4))\n",
    "df_train.drop_duplicates(\"Case_Day\")[[\"height\", \"width\"]].value_counts().plot.bar(ax=axes[0], grid=True)\n",
    "df_train.drop_duplicates(\"Case_Day\")[[\"spacing1\", \"spacing2\"]].value_counts().plot.bar(ax=axes[1], grid=True)\n",
    "df_train[df_train[\"class\"] == \"stomach\"].groupby(\"Case_Day\").size().value_counts().plot.pie(ax=axes[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6e3120c7",
   "metadata": {
    "papermill": {
     "duration": 0.052756,
     "end_time": "2022-04-27T02:38:27.633584",
     "exception": false,
     "start_time": "2022-04-27T02:38:27.580828",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>class</th>\n",
       "      <th>predicted</th>\n",
       "      <th>img_path</th>\n",
       "      <th>Case_Day</th>\n",
       "      <th>Case</th>\n",
       "      <th>Day</th>\n",
       "      <th>Slice</th>\n",
       "      <th>width</th>\n",
       "      <th>height</th>\n",
       "      <th>spacing1</th>\n",
       "      <th>spacing2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [id, class, predicted, img_path, Case_Day, Case, Day, Slice, width, height, spacing1, spacing2]\n",
       "Index: []"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "enrich_data(df_ssub, \"test\")\n",
    "display(df_ssub.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3328c0cc",
   "metadata": {
    "papermill": {
     "duration": 0.027436,
     "end_time": "2022-04-27T02:38:27.688183",
     "exception": false,
     "start_time": "2022-04-27T02:38:27.660747",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Aggregate cumulative map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c85c42f4",
   "metadata": {
    "_kg_hide-input": true,
    "papermill": {
     "duration": 0.038474,
     "end_time": "2022-04-27T02:38:27.754288",
     "exception": false,
     "start_time": "2022-04-27T02:38:27.715814",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "\n",
    "def rle_decode(rle, img=None, label=1):\n",
    "    seq = rle.split()\n",
    "    starts = np.array(list(map(int, seq[0::2])))\n",
    "    lengths = np.array(list(map(int, seq[1::2])))\n",
    "    ends = starts + lengths\n",
    "    img_shape = img.shape\n",
    "    img = img.flatten()\n",
    "    for begin, end in zip(starts, ends):\n",
    "        img[begin:end] = label\n",
    "    return img.reshape(img_shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bcb59fe6",
   "metadata": {
    "papermill": {
     "duration": 1.417821,
     "end_time": "2022-04-27T02:38:29.201308",
     "exception": false,
     "start_time": "2022-04-27T02:38:27.783487",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import torch.nn.functional as F\n",
    "\n",
    "\n",
    "def interpolate_volume(volume, vol_size):\n",
    "    vol_shape = tuple(volume.shape)\n",
    "    if not vol_size:\n",
    "        d_new = min(vol_shape[:2])\n",
    "        vol_size = (vol_shape[0], vol_shape[1], d_new)\n",
    "    # assert vol_shape[0] == vol_shape[1], f\"mixed shape: {vol_shape}\"\n",
    "    if vol_shape == vol_size:\n",
    "        return volume\n",
    "    vol = F.interpolate(volume.unsqueeze(0).unsqueeze(0), size=vol_size, mode=\"nearest\")\n",
    "    return vol[0, 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "949f76ea",
   "metadata": {
    "papermill": {
     "duration": 198.960928,
     "end_time": "2022-04-27T02:41:48.189126",
     "exception": false,
     "start_time": "2022-04-27T02:38:29.228198",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "large_bowel\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b87154e21f4b4697ba2beda5dd17f30c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/274 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "small_bowel\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8f425a4196d24fbeac545fba7cdb2236",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/274 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "stomach\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8695e435d825453cbd3df6a51b7fdb88",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/274 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import torch\n",
    "from tqdm.auto import tqdm\n",
    "\n",
    "AVG_VOLUME_SIZE = (144, 266, 266)\n",
    "segms, counts = {}, {}\n",
    "\n",
    "for lb, dfg in df_train.groupby(\"class\"):\n",
    "    print(lb)\n",
    "    vol_acc, nb_acc = {}, {}\n",
    "    for cd, dfgg in tqdm(dfg.groupby(\"Case_Day\")):\n",
    "        day = dfgg[\"Day\"].iloc[0]\n",
    "        h, w = dfgg[[\"height\", \"width\"]].iloc[0]\n",
    "        vol = np.zeros((len(dfgg), h, w))\n",
    "        for _, row in dfgg.iterrows():\n",
    "            idx = int(row[\"Slice\"]) - 1\n",
    "            rle = row[\"segmentation\"]\n",
    "            if not rle or not isinstance(rle, str):\n",
    "                continue\n",
    "            vol[idx, :, :] = rle_decode(rle, img=vol[idx, :, :], label=1)\n",
    "        vol = interpolate_volume(torch.tensor(vol), vol_size=AVG_VOLUME_SIZE).numpy()\n",
    "        vol_acc[day] = vol_acc.get(day, np.zeros(AVG_VOLUME_SIZE, dtype=np.uint16)) + vol\n",
    "        nb_acc[day] = nb_acc.get(day, 0) + 1\n",
    "    for d in vol_acc:\n",
    "        vol_acc[d] = vol_acc[d] / float(nb_acc[d])\n",
    "    segms[lb] = vol_acc\n",
    "    counts[lb] = nb_acc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4f206ddd",
   "metadata": {
    "papermill": {
     "duration": 0.039535,
     "end_time": "2022-04-27T02:41:48.259286",
     "exception": false,
     "start_time": "2022-04-27T02:41:48.219751",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 35, 36, 38, 39]\n"
     ]
    }
   ],
   "source": [
    "days = sorted(segms[\"stomach\"].keys())\n",
    "print(days)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cd5fccf1",
   "metadata": {
    "_kg_hide-input": true,
    "papermill": {
     "duration": 0.045862,
     "end_time": "2022-04-27T02:41:48.335181",
     "exception": false,
     "start_time": "2022-04-27T02:41:48.289319",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from ipywidgets import IntSlider, interact\n",
    "\n",
    "\n",
    "def show_volumes(segms, counts, z, y, x, day=10, fig_size=(12, 12)):\n",
    "    day = sorted(segms[\"stomach\"])[day]\n",
    "    fig, axarr = plt.subplots(nrows=3, ncols=3, figsize=fig_size)\n",
    "    for i, lb in enumerate(segms):\n",
    "        for j in range(3):\n",
    "            axarr[i, j].set_title(f\"{lb};\\n day:{day} with cases:{counts[lb][day]}\\n sum over axis {j}\")\n",
    "            im = axarr[i, j].imshow(np.sum(segms[lb][day], axis=j) / segms[lb][day].shape[j])\n",
    "            fig.colorbar(im, ax=axarr[i, j])\n",
    "\n",
    "\n",
    "def interactive_show_cum(segms, counts):\n",
    "    interact(\n",
    "        lambda z, y, x, day: plt.show(show_volumes(segms, counts, z, y, x, day)),\n",
    "        z=IntSlider(min=0, max=AVG_VOLUME_SIZE[0], step=5, value=int(AVG_VOLUME_SIZE[0] / 2)),\n",
    "        y=IntSlider(min=0, max=AVG_VOLUME_SIZE[1], step=5, value=int(AVG_VOLUME_SIZE[1] / 2)),\n",
    "        x=IntSlider(min=0, max=AVG_VOLUME_SIZE[2], step=5, value=int(AVG_VOLUME_SIZE[2] / 2)),\n",
    "        day=IntSlider(min=0, max=len(days), step=1, value=0),\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2ddba01f",
   "metadata": {
    "papermill": {
     "duration": 1.99582,
     "end_time": "2022-04-27T02:41:50.361025",
     "exception": false,
     "start_time": "2022-04-27T02:41:48.365205",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cc836d56d6d24323ae0e9bc79dfd7551",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=72, description='z', max=144, step=5), IntSlider(value=133, description=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "interactive_show_cum(segms, counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cae54607",
   "metadata": {
    "_kg_hide-input": true,
    "papermill": {
     "duration": 0.058591,
     "end_time": "2022-04-27T02:41:50.452174",
     "exception": false,
     "start_time": "2022-04-27T02:41:50.393583",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from ipywidgets import FloatSlider\n",
    "\n",
    "LABELS = sorted(df_train[\"class\"].unique())\n",
    "\n",
    "\n",
    "def show_volume(segms, z, y, x, day=0, thr=0.05, fig_size=(14, 14)):\n",
    "    day = sorted(segms[\"stomach\"])[day]\n",
    "    fig, axarr = plt.subplots(nrows=2, ncols=2, figsize=(9, 9))\n",
    "\n",
    "    segms_lb = [np.ones(AVG_VOLUME_SIZE) * thr]\n",
    "    segms_lb += [segms[lb][day] for lb in LABELS]\n",
    "    segm = np.argmax(segms_lb, axis=0)\n",
    "    # print(segm.shape)\n",
    "\n",
    "    _imshow_args = dict(cmap=\"jet\", interpolation=\"antialiased\", interpolation_stage=\"rgb\", vmin=0, vmax=len(segms))\n",
    "    axarr[0, 0].imshow(segm[z, :, :], **_imshow_args)\n",
    "    axarr[0, 1].set_title(f\"day:{day} with cases:{counts[lb][day]}\")\n",
    "    axarr[0, 1].imshow(segm[:, :, x], **_imshow_args)\n",
    "    axarr[1, 0].set_title(f\"day:{day} with cases:{counts[lb][day]}\")\n",
    "    axarr[1, 0].imshow(segm[:, y, :], **_imshow_args)\n",
    "    axarr[1, 1].set_axis_off()\n",
    "    fig.tight_layout()\n",
    "\n",
    "\n",
    "def interactive_show_segm(segms):\n",
    "    interact(\n",
    "        lambda z, y, x, day, thr: plt.show(show_volume(segms, z, y, x, day, thr)),\n",
    "        z=IntSlider(min=0, max=AVG_VOLUME_SIZE[0], step=5, value=int(AVG_VOLUME_SIZE[0] / 2)),\n",
    "        y=IntSlider(min=0, max=AVG_VOLUME_SIZE[1], step=5, value=int(AVG_VOLUME_SIZE[1] / 2)),\n",
    "        x=IntSlider(min=0, max=AVG_VOLUME_SIZE[2], step=5, value=int(AVG_VOLUME_SIZE[2] / 2)),\n",
    "        day=IntSlider(min=0, max=len(days), step=1, value=0),\n",
    "        thr=FloatSlider(min=0, max=1, step=0.05, value=0.1),\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8ab258f6",
   "metadata": {
    "papermill": {
     "duration": 1.271332,
     "end_time": "2022-04-27T02:41:51.754905",
     "exception": false,
     "start_time": "2022-04-27T02:41:50.483573",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b76bf7f1e5aa44cd80810314f23d0490",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=72, description='z', max=144, step=5), IntSlider(value=133, description=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "interactive_show_segm(segms)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b9062c7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-04-24T08:20:53.126152Z",
     "iopub.status.busy": "2022-04-24T08:20:53.125743Z",
     "iopub.status.idle": "2022-04-24T08:20:53.130204Z",
     "shell.execute_reply": "2022-04-24T08:20:53.128865Z",
     "shell.execute_reply.started": "2022-04-24T08:20:53.126122Z"
    },
    "papermill": {
     "duration": 0.031186,
     "end_time": "2022-04-27T02:41:51.817675",
     "exception": false,
     "start_time": "2022-04-27T02:41:51.786489",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Extrapolate 🔎 predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "55dd8e8c",
   "metadata": {
    "_kg_hide-input": true,
    "papermill": {
     "duration": 0.043001,
     "end_time": "2022-04-27T02:41:51.891750",
     "exception": false,
     "start_time": "2022-04-27T02:41:51.848749",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def rle_encode(mask, bg=0) -> dict:\n",
    "    vec = mask.flatten()\n",
    "    nb = len(vec)\n",
    "    where = np.flatnonzero\n",
    "    starts = np.r_[0, where(~np.isclose(vec[1:], vec[:-1], equal_nan=True)) + 1]\n",
    "    lengths = np.diff(np.r_[starts, nb])\n",
    "    values = vec[starts]\n",
    "    assert len(starts) == len(lengths) == len(values)\n",
    "    rle = {}\n",
    "    for start, length, val in zip(starts, lengths, values):\n",
    "        if val == bg:\n",
    "            continue\n",
    "        rle[val] = rle.get(val, []) + [str(start), length]\n",
    "    # post-processing\n",
    "    return {lb: \" \".join(map(str, id_lens)) for lb, id_lens in rle.items()}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ceb0224f",
   "metadata": {
    "_kg_hide-input": true,
    "papermill": {
     "duration": 0.048276,
     "end_time": "2022-04-27T02:41:51.972228",
     "exception": false,
     "start_time": "2022-04-27T02:41:51.923952",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# def _process_slice(row, vol, lb):\n",
    "#     idx = int(row['Slice']) - 1\n",
    "#     mask = vol[idx, :, :]\n",
    "#     rle = rle_encode(mask)[1] if np.sum(mask) > 1 else None\n",
    "#     return {\"id\": row[\"id\"], \"class\": lb, \"predicted\": rle}\n",
    "\n",
    "\n",
    "def _interpolate_day(segm_lb, day):\n",
    "    if day in segm_lb:\n",
    "        return segm_lb[day]\n",
    "    days_last = [d for d in segm_lb if d < day]\n",
    "    day_last = max(days_last)\n",
    "    days_next = [d for d in segm_lb if d > day]\n",
    "    if not days_next:\n",
    "        return segm_lb[day_last]\n",
    "    day_next = min(days_next)\n",
    "    dn = (day - day_last) / (day_next - day_last)\n",
    "    dl = (day_next - day) / (day_next - day_last)\n",
    "    return dl * segm_lb[day_last] + dn * segm_lb[day_next]\n",
    "\n",
    "\n",
    "def _process_vol(dfgg, segm, thr, lb):\n",
    "    day = int(dfgg[[\"Day\"]].iloc[0])\n",
    "    h, w = dfgg[[\"height\", \"width\"]].iloc[0]\n",
    "    vol = (\n",
    "        interpolate_volume(\n",
    "            torch.tensor(_interpolate_day(segm, day) > thr, dtype=float),\n",
    "            vol_size=(len(dfgg), h, w),\n",
    "        )\n",
    "        .numpy()\n",
    "        .astype(np.uint8)\n",
    "    )\n",
    "    rows = []\n",
    "    for _, row in dfgg.iterrows():\n",
    "        idx = int(row[\"Slice\"]) - 1\n",
    "        mask = vol[idx, :, :]\n",
    "        rle = rle_encode(mask)[1] if np.sum(mask) > 1 else \"\"\n",
    "        rows.append({\"id\": row[\"id\"], \"class\": lb, \"predicted\": rle})\n",
    "    return rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "03690983",
   "metadata": {
    "papermill": {
     "duration": 344.559391,
     "end_time": "2022-04-27T02:47:36.562737",
     "exception": false,
     "start_time": "2022-04-27T02:41:52.003346",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "772e008e3aa54206aa0e7f98bb568e6a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/274 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>class</th>\n",
       "      <th>predicted</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>case101_day20_slice_0031</td>\n",
       "      <td>stomach</td>\n",
       "      <td>27529 5 27794 8 28060 9 28325 11 28591 12 2885...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>case101_day20_slice_0032</td>\n",
       "      <td>stomach</td>\n",
       "      <td>26732 6 26997 8 27263 8 27527 12 27792 13 2805...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>case101_day20_slice_0033</td>\n",
       "      <td>stomach</td>\n",
       "      <td>26466 7 26731 8 26996 10 27261 12 27526 14 277...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>case101_day20_slice_0034</td>\n",
       "      <td>stomach</td>\n",
       "      <td>25669 5 25932 12 26197 13 26462 15 26727 17 26...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>case101_day20_slice_0035</td>\n",
       "      <td>stomach</td>\n",
       "      <td>25667 6 25930 13 26195 15 26460 17 26726 17 26...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115423</th>\n",
       "      <td>case9_day22_slice_0123</td>\n",
       "      <td>small_bowel</td>\n",
       "      <td>19974 13 20331 20 20691 20 21050 25 21408 29 2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115425</th>\n",
       "      <td>case9_day22_slice_0124</td>\n",
       "      <td>large_bowel</td>\n",
       "      <td>35026 1 35030 4 35383 15 35743 15 36101 21 364...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115426</th>\n",
       "      <td>case9_day22_slice_0124</td>\n",
       "      <td>small_bowel</td>\n",
       "      <td>19975 8 20332 17 20692 17 21050 23 21408 27 21...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115428</th>\n",
       "      <td>case9_day22_slice_0125</td>\n",
       "      <td>large_bowel</td>\n",
       "      <td>35031 2 35383 14 35743 14 36101 20 36459 25 36...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115429</th>\n",
       "      <td>case9_day22_slice_0125</td>\n",
       "      <td>small_bowel</td>\n",
       "      <td>37302 15 37661 18 38020 23 38380 23 38738 27 3...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>63209 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              id        class  \\\n",
       "92      case101_day20_slice_0031      stomach   \n",
       "95      case101_day20_slice_0032      stomach   \n",
       "98      case101_day20_slice_0033      stomach   \n",
       "101     case101_day20_slice_0034      stomach   \n",
       "104     case101_day20_slice_0035      stomach   \n",
       "...                          ...          ...   \n",
       "115423    case9_day22_slice_0123  small_bowel   \n",
       "115425    case9_day22_slice_0124  large_bowel   \n",
       "115426    case9_day22_slice_0124  small_bowel   \n",
       "115428    case9_day22_slice_0125  large_bowel   \n",
       "115429    case9_day22_slice_0125  small_bowel   \n",
       "\n",
       "                                                predicted  \n",
       "92      27529 5 27794 8 28060 9 28325 11 28591 12 2885...  \n",
       "95      26732 6 26997 8 27263 8 27527 12 27792 13 2805...  \n",
       "98      26466 7 26731 8 26996 10 27261 12 27526 14 277...  \n",
       "101     25669 5 25932 12 26197 13 26462 15 26727 17 26...  \n",
       "104     25667 6 25930 13 26195 15 26460 17 26726 17 26...  \n",
       "...                                                   ...  \n",
       "115423  19974 13 20331 20 20691 20 21050 25 21408 29 2...  \n",
       "115425  35026 1 35030 4 35383 15 35743 15 36101 21 364...  \n",
       "115426  19975 8 20332 17 20692 17 21050 23 21408 27 21...  \n",
       "115428  35031 2 35383 14 35743 14 36101 20 36459 25 36...  \n",
       "115429  37302 15 37661 18 38020 23 38380 23 38738 27 3...  \n",
       "\n",
       "[63209 rows x 3 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "segm_thr = 0.03\n",
    "df_pred = df_train if df_ssub.empty else df_ssub\n",
    "\n",
    "preds = []\n",
    "for _, dfg in tqdm(df_pred.groupby(\"Case_Day\")):\n",
    "    day = int(dfg[[\"Day\"]].iloc[0])\n",
    "    segms_lb = [np.ones(AVG_VOLUME_SIZE) * segm_thr]\n",
    "    segms_lb += [_interpolate_day(segms[lb], day) for lb in LABELS]\n",
    "    segm_sc = np.argmax(segms_lb, axis=0)\n",
    "    h, w = dfg[[\"height\", \"width\"]].iloc[0]\n",
    "    dfgg = dfg[dfg[\"class\"] == LABELS[0]]\n",
    "    vol = interpolate_volume(torch.tensor(segm_sc, dtype=float), vol_size=(len(dfgg), h, w)).numpy().astype(np.uint8)\n",
    "    for _, row in dfgg.iterrows():\n",
    "        idx = int(row[\"Slice\"]) - 1\n",
    "        mask = vol[idx, :, :]\n",
    "        rle = rle_encode(mask) if np.sum(mask) > 1 else {}\n",
    "        preds += [{\"id\": row[\"id\"], \"class\": lb, \"predicted\": rle.get(i + 1, \"\")} for i, lb in enumerate(LABELS)]\n",
    "\n",
    "\n",
    "df_pred = pd.DataFrame(preds)\n",
    "display(df_pred[df_pred[\"predicted\"] != \"\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9344027",
   "metadata": {
    "papermill": {
     "duration": 0.032724,
     "end_time": "2022-04-27T02:47:36.628403",
     "exception": false,
     "start_time": "2022-04-27T02:47:36.595679",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Prepare 🗄️ submission"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9901107b",
   "metadata": {
    "papermill": {
     "duration": 0.950609,
     "end_time": "2022-04-27T02:47:37.611718",
     "exception": false,
     "start_time": "2022-04-27T02:47:36.661109",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "id,class,predicted\n"
     ]
    }
   ],
   "source": [
    "del df_ssub[\"predicted\"]\n",
    "df_pred = df_ssub.merge(df_pred, on=[\"id\", \"class\"])\n",
    "\n",
    "df_pred[[\"id\", \"class\", \"predicted\"]].to_csv(\"submission.csv\", index=False)\n",
    "\n",
    "!head submission.csv"
   ]
  }
 ],
 "metadata": {
  "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": "3.8.10"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 567.869324,
   "end_time": "2022-04-27T02:47:39.176668",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2022-04-27T02:38:11.307344",
   "version": "2.3.4"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "0275db66b65d438d9e3395740a177db4": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "068e874ff5ba4e4bba3a80331f10085d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": ""
      }
     },
     "08711d1bd81c4ac393fdcbd57fd3eb80": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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_c34c8cdf5971443dbd6fddfd64eee3e9",
       "placeholder": "​",
       "style": "IPY_MODEL_f7e3002393f748e5b883d29945d9ca5d",
       "value": " 274/274 [01:06&lt;00:00,  3.12it/s]"
      }
     },
     "0a6b411ab4a641759118c25a38ea851d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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_32d1c990fecd45708efcf9518dd82d47",
       "placeholder": "​",
       "style": "IPY_MODEL_6a0a7132938143b4bfe27382f86e0059",
       "value": "100%"
      }
     },
     "0a815c04dee445ab8b07cd5d39b18338": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "FloatSliderView",
       "continuous_update": true,
       "description": "thr",
       "description_tooltip": null,
       "disabled": false,
       "layout": "IPY_MODEL_8ff86ea1c58b4cf78d863902ee51a960",
       "max": 1,
       "min": 0,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": ".2f",
       "step": 0.05,
       "style": "IPY_MODEL_84686c77ad574c8c98fe81fe177fe3e4",
       "value": 0.1
      }
     },
     "0e571af2f46e47b4aac17a0744853c74": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": ""
      }
     },
     "0ebce53a2b3d4062a41b7df08f761e82": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": "",
       "handle_color": null
      }
     },
     "11f91241492d4038b877cdf5edbb7d81": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": ""
      }
     },
     "1665adcaa0694583b0d6184f13a1c5f6": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "1c60074fa066455aa1133b7df2152e64": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "2053bfcdd2f74935aa8c772b95a54949": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "VBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "VBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_735f68c58d714f5695fa076c2993d07a",
        "IPY_MODEL_63048048fb234eb2a25d6eb482418951",
        "IPY_MODEL_367e114e229f40f48802bee7ce339c87",
        "IPY_MODEL_3d53cd5aab62407397138defe5f6ad11",
        "IPY_MODEL_cfa6d312b41447f28d93c3c4fb8be542"
       ],
       "layout": "IPY_MODEL_9f74a4f59e2448d383e198c740a1afab"
      }
     },
     "22445f6b525742c294778b7c64066161": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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_518754004dba43c2b6bc0ce54d37f16b",
       "placeholder": "​",
       "style": "IPY_MODEL_b3b1e7eae5f04ed5b9a9d798cea8e4a5",
       "value": "100%"
      }
     },
     "290a5c191e374fb698f47967fb114f04": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": "",
       "handle_color": null
      }
     },
     "29dbc6a77e5e419ca5ddfa8295b7d5e3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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_e084220bd3b246529fd7fcdbb0fd78c3",
       "placeholder": "​",
       "style": "IPY_MODEL_c127adcb73404892b825ef4e3387890a",
       "value": " 274/274 [01:01&lt;00:00,  2.87it/s]"
      }
     },
     "2e84c0f573cd4e1caec09662aa715798": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": ""
      }
     },
     "30534b8d44e34722a1f209797e3b7f73": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": "",
       "handle_color": null
      }
     },
     "32d1c990fecd45708efcf9518dd82d47": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "367e114e229f40f48802bee7ce339c87": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "IntSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "IntSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "IntSliderView",
       "continuous_update": true,
       "description": "x",
       "description_tooltip": null,
       "disabled": false,
       "layout": "IPY_MODEL_d5bdb22181704fdeaf814c0c854f8d59",
       "max": 266,
       "min": 0,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": "d",
       "step": 5,
       "style": "IPY_MODEL_30534b8d44e34722a1f209797e3b7f73",
       "value": 133
      }
     },
     "3685be86e1ec46849b6f243f876a4edb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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_0a6b411ab4a641759118c25a38ea851d",
        "IPY_MODEL_e1a13fc175bc43e08a8265d4f8581b67",
        "IPY_MODEL_ce91f8de35c64922a07052cf6260ae03"
       ],
       "layout": "IPY_MODEL_4c1d282d91944295bcbffcee5da12505"
      }
     },
     "3d53cd5aab62407397138defe5f6ad11": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "IntSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "IntSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "IntSliderView",
       "continuous_update": true,
       "description": "day",
       "description_tooltip": null,
       "disabled": false,
       "layout": "IPY_MODEL_42fa6f76adc94b5bb45e4bc9f16b2e03",
       "max": 35,
       "min": 0,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": "d",
       "step": 1,
       "style": "IPY_MODEL_8ec6681b6bc141629ad638da2d8f8ebf",
       "value": 0
      }
     },
     "3ea261b5add34c218a3f0c52c7b35de3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "IntSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "IntSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "IntSliderView",
       "continuous_update": true,
       "description": "day",
       "description_tooltip": null,
       "disabled": false,
       "layout": "IPY_MODEL_d526088331664684bad2d2c87c95ead7",
       "max": 35,
       "min": 0,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": "d",
       "step": 1,
       "style": "IPY_MODEL_cb8b300ca23a42f6b87eb8199a90e10c",
       "value": 0
      }
     },
     "40f6133ac80640438749ade4ac957ed8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": ""
      }
     },
     "42fa6f76adc94b5bb45e4bc9f16b2e03": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "44c2b55a095e45448a3d5b6cff18a3bd": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "44ce5347a13d40c7a0b693f0f9482f4c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "IntSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "IntSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "IntSliderView",
       "continuous_update": true,
       "description": "y",
       "description_tooltip": null,
       "disabled": false,
       "layout": "IPY_MODEL_44c2b55a095e45448a3d5b6cff18a3bd",
       "max": 266,
       "min": 0,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": "d",
       "step": 5,
       "style": "IPY_MODEL_290a5c191e374fb698f47967fb114f04",
       "value": 133
      }
     },
     "4b8e1e4eed874df1b1e0d6078f355275": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": ""
      }
     },
     "4bf0e360b37d47b698cedbe6a870cb8a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": "",
       "handle_color": null
      }
     },
     "4c1d282d91944295bcbffcee5da12505": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "50c74d6242b44c0586d8ea14c6cc0e76": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "518754004dba43c2b6bc0ce54d37f16b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "519b9428b92640a385162cae5385d914": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "5444f0b85af645659627a3a5f5ecfcaa": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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_8e295f232e0043b982f90bd9a71aeed3",
        "IPY_MODEL_794fef3089d94703b07ff467b4a0c574",
        "IPY_MODEL_29dbc6a77e5e419ca5ddfa8295b7d5e3"
       ],
       "layout": "IPY_MODEL_a877f90d993043b3a005884ee765e48c"
      }
     },
     "5b363e09fc1147118962dd71722d8332": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "VBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "VBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_cbc9e05ccea84cfa853204a176ce7966",
        "IPY_MODEL_44ce5347a13d40c7a0b693f0f9482f4c",
        "IPY_MODEL_f6e048588c014f5e81da8bf329ef061a",
        "IPY_MODEL_3ea261b5add34c218a3f0c52c7b35de3",
        "IPY_MODEL_0a815c04dee445ab8b07cd5d39b18338",
        "IPY_MODEL_e6f710107ba34d47817ed960aee30608"
       ],
       "layout": "IPY_MODEL_86fd2e5219a540ca9fe87f1a91188b3e"
      }
     },
     "5ba7d299dcc048d9ac4597dbaedf2896": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "6075f18d3386468eb3789828c89ff1b9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_63ad22f6f2264db2a5b51a78d0581283",
       "max": 274,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_ac096523bc9c4ab3b4ae5ae4072c0a08",
       "value": 274
      }
     },
     "63048048fb234eb2a25d6eb482418951": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "IntSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "IntSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "IntSliderView",
       "continuous_update": true,
       "description": "y",
       "description_tooltip": null,
       "disabled": false,
       "layout": "IPY_MODEL_1c60074fa066455aa1133b7df2152e64",
       "max": 266,
       "min": 0,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": "d",
       "step": 5,
       "style": "IPY_MODEL_0ebce53a2b3d4062a41b7df08f761e82",
       "value": 133
      }
     },
     "63ad22f6f2264db2a5b51a78d0581283": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "63cd4371ab8647628e7ff3b1b33e9533": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "6a0a7132938143b4bfe27382f86e0059": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": ""
      }
     },
     "6c94f7ba3f4f456bb13a91360ed71ecd": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "6ca4845a1ae849c5a06a0b6ab515bcb8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "735f68c58d714f5695fa076c2993d07a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "IntSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "IntSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "IntSliderView",
       "continuous_update": true,
       "description": "z",
       "description_tooltip": null,
       "disabled": false,
       "layout": "IPY_MODEL_fb78165416e948aa8c9d6fbca6b5d4b4",
       "max": 144,
       "min": 0,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": "d",
       "step": 5,
       "style": "IPY_MODEL_9bd5b1a6291b48549c49f1582d7a75fb",
       "value": 72
      }
     },
     "794fef3089d94703b07ff467b4a0c574": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6c94f7ba3f4f456bb13a91360ed71ecd",
       "max": 274,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_4b8e1e4eed874df1b1e0d6078f355275",
       "value": 274
      }
     },
     "8218f7152e4940a787fbfe9f8ec3dec9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": "",
       "handle_color": null
      }
     },
     "84686c77ad574c8c98fe81fe177fe3e4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": "",
       "handle_color": null
      }
     },
     "86fd2e5219a540ca9fe87f1a91188b3e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "89763b78a6eb4436b3bd0b50396e75cf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "8e295f232e0043b982f90bd9a71aeed3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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_50c74d6242b44c0586d8ea14c6cc0e76",
       "placeholder": "​",
       "style": "IPY_MODEL_40f6133ac80640438749ade4ac957ed8",
       "value": "100%"
      }
     },
     "8ec6681b6bc141629ad638da2d8f8ebf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": "",
       "handle_color": null
      }
     },
     "8ff86ea1c58b4cf78d863902ee51a960": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "91b3ca830b6449fba0f7a28b9dbeb71c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": ""
      }
     },
     "9bd5b1a6291b48549c49f1582d7a75fb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": "",
       "handle_color": null
      }
     },
     "9ef17a722f2e4be3950d2c81ae0f029e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "9f74a4f59e2448d383e198c740a1afab": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "a877f90d993043b3a005884ee765e48c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "ac096523bc9c4ab3b4ae5ae4072c0a08": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": ""
      }
     },
     "ae9725faaf3843cba254733f15e609d1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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_0275db66b65d438d9e3395740a177db4",
       "placeholder": "​",
       "style": "IPY_MODEL_91b3ca830b6449fba0f7a28b9dbeb71c",
       "value": " 274/274 [01:06&lt;00:00,  2.50it/s]"
      }
     },
     "b2316e3f68ba4f25b117a305e3555882": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_89763b78a6eb4436b3bd0b50396e75cf",
       "max": 274,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_2e84c0f573cd4e1caec09662aa715798",
       "value": 274
      }
     },
     "b3b1e7eae5f04ed5b9a9d798cea8e4a5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": ""
      }
     },
     "b79e70aaed7540ff855b05722d817b55": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "bf753afab09145df8f83a7d5f683ccc2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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_22445f6b525742c294778b7c64066161",
        "IPY_MODEL_6075f18d3386468eb3789828c89ff1b9",
        "IPY_MODEL_ae9725faaf3843cba254733f15e609d1"
       ],
       "layout": "IPY_MODEL_5ba7d299dcc048d9ac4597dbaedf2896"
      }
     },
     "c127adcb73404892b825ef4e3387890a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": ""
      }
     },
     "c34c8cdf5971443dbd6fddfd64eee3e9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "cb8b300ca23a42f6b87eb8199a90e10c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "SliderStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": "",
       "handle_color": null
      }
     },
     "cbc9e05ccea84cfa853204a176ce7966": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "IntSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "IntSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "IntSliderView",
       "continuous_update": true,
       "description": "z",
       "description_tooltip": null,
       "disabled": false,
       "layout": "IPY_MODEL_cc1b8e624c7b4f1e897f218ef0404589",
       "max": 144,
       "min": 0,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": "d",
       "step": 5,
       "style": "IPY_MODEL_4bf0e360b37d47b698cedbe6a870cb8a",
       "value": 72
      }
     },
     "cc1b8e624c7b4f1e897f218ef0404589": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "ce91f8de35c64922a07052cf6260ae03": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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_519b9428b92640a385162cae5385d914",
       "placeholder": "​",
       "style": "IPY_MODEL_068e874ff5ba4e4bba3a80331f10085d",
       "value": " 274/274 [05:44&lt;00:00,  1.57s/it]"
      }
     },
     "cfa6d312b41447f28d93c3c4fb8be542": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_1665adcaa0694583b0d6184f13a1c5f6",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "image/png": "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\n",
          "text/plain": "<Figure size 864x864 with 18 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "d138ca45e0f640d9b17013e613b284d9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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_63cd4371ab8647628e7ff3b1b33e9533",
       "placeholder": "​",
       "style": "IPY_MODEL_11f91241492d4038b877cdf5edbb7d81",
       "value": "100%"
      }
     },
     "d526088331664684bad2d2c87c95ead7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "d5bdb22181704fdeaf814c0c854f8d59": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "e084220bd3b246529fd7fcdbb0fd78c3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "e1a13fc175bc43e08a8265d4f8581b67": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_f8c4f9253111429f85c586c1d13af297",
       "max": 274,
       "min": 0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_0e571af2f46e47b4aac17a0744853c74",
       "value": 274
      }
     },
     "e6f710107ba34d47817ed960aee30608": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_b79e70aaed7540ff855b05722d817b55",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "image/png": "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\n",
          "text/plain": "<Figure size 648x648 with 4 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "efc9ac154fd44dfe803975797d5f94fd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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_d138ca45e0f640d9b17013e613b284d9",
        "IPY_MODEL_b2316e3f68ba4f25b117a305e3555882",
        "IPY_MODEL_08711d1bd81c4ac393fdcbd57fd3eb80"
       ],
       "layout": "IPY_MODEL_9ef17a722f2e4be3950d2c81ae0f029e"
      }
     },
     "f6e048588c014f5e81da8bf329ef061a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "IntSliderModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "IntSliderModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "IntSliderView",
       "continuous_update": true,
       "description": "x",
       "description_tooltip": null,
       "disabled": false,
       "layout": "IPY_MODEL_6ca4845a1ae849c5a06a0b6ab515bcb8",
       "max": 266,
       "min": 0,
       "orientation": "horizontal",
       "readout": true,
       "readout_format": "d",
       "step": 5,
       "style": "IPY_MODEL_8218f7152e4940a787fbfe9f8ec3dec9",
       "value": 133
      }
     },
     "f7e3002393f748e5b883d29945d9ca5d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "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": ""
      }
     },
     "f8c4f9253111429f85c586c1d13af297": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     },
     "fb78165416e948aa8c9d6fbca6b5d4b4": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "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
      }
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}