notebooks/pp_classic.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Post-processing (classic)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv\n",
    "import hashlib\n",
    "import io\n",
    "import json\n",
    "import os\n",
    "import re\n",
    "import signal\n",
    "import subprocess\n",
    "import sys\n",
    "import tempfile\n",
    "import warnings\n",
    "from datetime import datetime\n",
    "from itertools import zip_longest\n",
    "from pathlib import Path, PurePath\n",
    "from pprint import pprint\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import requests\n",
    "import requests_cache\n",
    "import seaborn as sns\n",
    "# from wand.image import Image\n",
    "from IPython.display import Image\n",
    "from nltk.metrics import edit_distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/nix/store/6cdpbcfv5g6zk9zhs1wv79648zmvdjd0-python3-3.8.8-env/lib/python3.8/site-packages/requests_cache/__init__.py\n"
     ]
    }
   ],
   "source": [
    "print(requests_cache.__file__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "requests_cache.install_cache(\"pfocr_cache\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext sql"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set_style(\"dark\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import Levenshtein\n",
    "import Levenshtein_search\n",
    "import polyleven"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from functools import partial\n",
    "\n",
    "import rpy2.robjects as ro\n",
    "from rpy2.ipython import html\n",
    "from rpy2.robjects import default_converter, pandas2ri\n",
    "from rpy2.robjects.conversion import localconverter\n",
    "from rpy2.robjects.lib.dplyr import DataFrame\n",
    "from rpy2.robjects.packages import importr\n",
    "\n",
    "html.html_rdataframe = partial(html.html_rdataframe, table_class=\"docutils\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nix/store/6cdpbcfv5g6zk9zhs1wv79648zmvdjd0-python3-3.8.8-env/lib/python3.8/site-packages/rpy2/robjects/vectors.py:980: UserWarning: R object inheriting from \"POSIXct\" but without attribute \"tzone\".\n",
      "  warnings.warn('R object inheriting from \"POSIXct\" but without '\n"
     ]
    }
   ],
   "source": [
    "pandas2ri.activate()\n",
    "base = importr(\"base\")\n",
    "readRDS = ro.r[\"readRDS\"]\n",
    "saveRDS = ro.r[\"saveRDS\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def rds2pandas(rds_path):\n",
    "    r_df = readRDS(str(rds_path))\n",
    "    with localconverter(ro.default_converter + pandas2ri.converter):\n",
    "        pandas_df = ro.conversion.rpy2py(r_df)\n",
    "    return pandas_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pandas2rds(pandas_df, rds_path):\n",
    "    with localconverter(default_converter + pandas2ri.converter) as cv:\n",
    "        r_df = DataFrame(pandas_df)\n",
    "\n",
    "    saveRDS(r_df, str(rds_path))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_dir = Path(\"../data\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load 2020 Figure Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pfocr_id</th>\n",
       "      <th>figure_number</th>\n",
       "      <th>reference</th>\n",
       "      <th>publication_year</th>\n",
       "      <th>pathway_score</th>\n",
       "      <th>pmc_search_index</th>\n",
       "      <th>figure_title</th>\n",
       "      <th>paper_title</th>\n",
       "      <th>figure_caption</th>\n",
       "      <th>pmc_id</th>\n",
       "      <th>paper_url</th>\n",
       "      <th>figure_page_url</th>\n",
       "      <th>figure_thumbnail_url</th>\n",
       "      <th>pfocr_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PMC5653847__41598_2017_14124_Fig8_HTML.jpg</td>\n",
       "      <td>Figure 8</td>\n",
       "      <td>Céline Barthelemy, et al. Sci Rep. 2017;7:13816.</td>\n",
       "      <td>2017</td>\n",
       "      <td>0.968270</td>\n",
       "      <td>133303</td>\n",
       "      <td>Model of FTY720-induced transporter endocytosi...</td>\n",
       "      <td>FTY720-induced endocytosis of yeast and human ...</td>\n",
       "      <td>Model of FTY720-induced transporter endocytosi...</td>\n",
       "      <td>PMC5653847</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PMC4187043__zh20191474070013.jpg</td>\n",
       "      <td>Fig. 13</td>\n",
       "      <td>Yuan Wei, et al. Am J Physiol Renal Physiol. 2...</td>\n",
       "      <td>2014</td>\n",
       "      <td>0.965793</td>\n",
       "      <td>79929</td>\n",
       "      <td>Proposed signaling pathway by which the stimul...</td>\n",
       "      <td>Angiotensin II type 2 receptor regulates ROMK-...</td>\n",
       "      <td>Proposed signaling pathway by which the stimul...</td>\n",
       "      <td>PMC4187043</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PMC5746550__rsob-7-170228-g1.jpg</td>\n",
       "      <td>Figure 1</td>\n",
       "      <td>Georgia R. Frost, et al. Open Biol. 2017 Dec;7...</td>\n",
       "      <td>2017</td>\n",
       "      <td>0.962470</td>\n",
       "      <td>98034</td>\n",
       "      <td>AŒ≤ production</td>\n",
       "      <td>The role of astrocytes in amyloid production a...</td>\n",
       "      <td>AŒ≤ production. In the amyloidogenic pathway (...</td>\n",
       "      <td>PMC5746550</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PMC4211692__pone.0110875.g008.jpg</td>\n",
       "      <td>Figure 8</td>\n",
       "      <td>Enida Gjoni, et al. PLoS One. 2014;9(10):e110875.</td>\n",
       "      <td>2014</td>\n",
       "      <td>0.966721</td>\n",
       "      <td>142401</td>\n",
       "      <td></td>\n",
       "      <td>Glucolipotoxicity Impairs Ceramide Flow from t...</td>\n",
       "      <td>Glucolipotoxicity impairs CERT- and vesicular-...</td>\n",
       "      <td>PMC4211692</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>PMC2588433__nihms78212f8.jpg</td>\n",
       "      <td>Figure 8</td>\n",
       "      <td>Amanda L. Lewis, et al. J Biol Chem. ;282(38):...</td>\n",
       "      <td>None</td>\n",
       "      <td>0.966758</td>\n",
       "      <td>67398</td>\n",
       "      <td></td>\n",
       "      <td>NeuA sialic acid O-acetylesterase activity mod...</td>\n",
       "      <td>Bacterial Sia biosynthesis can be divided into...</td>\n",
       "      <td>PMC2588433</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64639</th>\n",
       "      <td>PMC4216988__zh20221474360006.jpg</td>\n",
       "      <td>Fig. 6</td>\n",
       "      <td>Marcelo D. Carattino, et al. Am J Physiol Rena...</td>\n",
       "      <td>2014</td>\n",
       "      <td>0.143076</td>\n",
       "      <td>108774</td>\n",
       "      <td>Hypothetical mechanism of activation of ENaC b...</td>\n",
       "      <td>Prostasin interacts with the epithelial Na+ ch...</td>\n",
       "      <td>Hypothetical mechanism of activation of ENaC b...</td>\n",
       "      <td>PMC4216988</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64640</th>\n",
       "      <td>PMC2873070__nihms128887f5.jpg</td>\n",
       "      <td>Scheme 1</td>\n",
       "      <td>Hua Cheng, et al. Neurobiol Aging. ;31(7):1188...</td>\n",
       "      <td>None</td>\n",
       "      <td>0.127176</td>\n",
       "      <td>143547</td>\n",
       "      <td>A schematic diagram of a proposed working mode...</td>\n",
       "      <td>Apolipoprotein E mediates sulfatide depletion ...</td>\n",
       "      <td>A schematic diagram of a proposed working mode...</td>\n",
       "      <td>PMC2873070</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64641</th>\n",
       "      <td>PMC3651446__pnas.1220523110fig06.jpg</td>\n",
       "      <td>Fig. 6</td>\n",
       "      <td>Jiun-Ming Wu, et al. Proc Natl Acad Sci U S A....</td>\n",
       "      <td>2013</td>\n",
       "      <td>0.055546</td>\n",
       "      <td>159643</td>\n",
       "      <td>Models for nucleation of centrosomal and kinet...</td>\n",
       "      <td>Aurora kinase inhibitors reveal mechanisms of ...</td>\n",
       "      <td>Models for nucleation of centrosomal and kinet...</td>\n",
       "      <td>PMC3651446</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64642</th>\n",
       "      <td>PMC6770832__cancers-11-01236-g005.jpg</td>\n",
       "      <td>Figure 5</td>\n",
       "      <td>Carmel Mothersill, et al. Cancers (Basel). 201...</td>\n",
       "      <td>2019</td>\n",
       "      <td>0.140041</td>\n",
       "      <td>618</td>\n",
       "      <td>A simplified TGFŒ≤ pathway leading to p21 expr...</td>\n",
       "      <td>Relevance of Non-Targeted Effects for Radiothe...</td>\n",
       "      <td>A simplified TGFŒ≤ pathway leading to p21 expr...</td>\n",
       "      <td>PMC6770832</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64643</th>\n",
       "      <td>PMC4609065__12885_2015_1721_Fig5_HTML.jpg</td>\n",
       "      <td>Fig. 5</td>\n",
       "      <td>Hiro Takahashi, et al. BMC Cancer. 2015;15:718.</td>\n",
       "      <td>2015</td>\n",
       "      <td>0.090798</td>\n",
       "      <td>20865</td>\n",
       "      <td>Hypothetical model of EGFR and ANXA3 to fluoro...</td>\n",
       "      <td>Construction of possible integrated predictive...</td>\n",
       "      <td>Hypothetical model of EGFR and ANXA3 to fluoro...</td>\n",
       "      <td>PMC4609065</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>64643 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         pfocr_id figure_number  \\\n",
       "1      PMC5653847__41598_2017_14124_Fig8_HTML.jpg      Figure 8   \n",
       "2                PMC4187043__zh20191474070013.jpg       Fig. 13   \n",
       "3                PMC5746550__rsob-7-170228-g1.jpg      Figure 1   \n",
       "4               PMC4211692__pone.0110875.g008.jpg      Figure 8   \n",
       "5                    PMC2588433__nihms78212f8.jpg      Figure 8   \n",
       "...                                           ...           ...   \n",
       "64639            PMC4216988__zh20221474360006.jpg        Fig. 6   \n",
       "64640               PMC2873070__nihms128887f5.jpg      Scheme 1   \n",
       "64641        PMC3651446__pnas.1220523110fig06.jpg        Fig. 6   \n",
       "64642       PMC6770832__cancers-11-01236-g005.jpg      Figure 5   \n",
       "64643   PMC4609065__12885_2015_1721_Fig5_HTML.jpg        Fig. 5   \n",
       "\n",
       "                                               reference publication_year  \\\n",
       "1       Céline Barthelemy, et al. Sci Rep. 2017;7:13816.             2017   \n",
       "2      Yuan Wei, et al. Am J Physiol Renal Physiol. 2...             2014   \n",
       "3      Georgia R. Frost, et al. Open Biol. 2017 Dec;7...             2017   \n",
       "4      Enida Gjoni, et al. PLoS One. 2014;9(10):e110875.             2014   \n",
       "5      Amanda L. Lewis, et al. J Biol Chem. ;282(38):...             None   \n",
       "...                                                  ...              ...   \n",
       "64639  Marcelo D. Carattino, et al. Am J Physiol Rena...             2014   \n",
       "64640  Hua Cheng, et al. Neurobiol Aging. ;31(7):1188...             None   \n",
       "64641  Jiun-Ming Wu, et al. Proc Natl Acad Sci U S A....             2013   \n",
       "64642  Carmel Mothersill, et al. Cancers (Basel). 201...             2019   \n",
       "64643    Hiro Takahashi, et al. BMC Cancer. 2015;15:718.             2015   \n",
       "\n",
       "       pathway_score  pmc_search_index  \\\n",
       "1           0.968270            133303   \n",
       "2           0.965793             79929   \n",
       "3           0.962470             98034   \n",
       "4           0.966721            142401   \n",
       "5           0.966758             67398   \n",
       "...              ...               ...   \n",
       "64639       0.143076            108774   \n",
       "64640       0.127176            143547   \n",
       "64641       0.055546            159643   \n",
       "64642       0.140041               618   \n",
       "64643       0.090798             20865   \n",
       "\n",
       "                                            figure_title  \\\n",
       "1      Model of FTY720-induced transporter endocytosi...   \n",
       "2      Proposed signaling pathway by which the stimul...   \n",
       "3                                         AŒ≤ production   \n",
       "4                                                          \n",
       "5                                                          \n",
       "...                                                  ...   \n",
       "64639  Hypothetical mechanism of activation of ENaC b...   \n",
       "64640  A schematic diagram of a proposed working mode...   \n",
       "64641  Models for nucleation of centrosomal and kinet...   \n",
       "64642  A simplified TGFŒ≤ pathway leading to p21 expr...   \n",
       "64643  Hypothetical model of EGFR and ANXA3 to fluoro...   \n",
       "\n",
       "                                             paper_title  \\\n",
       "1      FTY720-induced endocytosis of yeast and human ...   \n",
       "2      Angiotensin II type 2 receptor regulates ROMK-...   \n",
       "3      The role of astrocytes in amyloid production a...   \n",
       "4      Glucolipotoxicity Impairs Ceramide Flow from t...   \n",
       "5      NeuA sialic acid O-acetylesterase activity mod...   \n",
       "...                                                  ...   \n",
       "64639  Prostasin interacts with the epithelial Na+ ch...   \n",
       "64640  Apolipoprotein E mediates sulfatide depletion ...   \n",
       "64641  Aurora kinase inhibitors reveal mechanisms of ...   \n",
       "64642  Relevance of Non-Targeted Effects for Radiothe...   \n",
       "64643  Construction of possible integrated predictive...   \n",
       "\n",
       "                                          figure_caption      pmc_id  \\\n",
       "1      Model of FTY720-induced transporter endocytosi...  PMC5653847   \n",
       "2      Proposed signaling pathway by which the stimul...  PMC4187043   \n",
       "3      AŒ≤ production. In the amyloidogenic pathway (...  PMC5746550   \n",
       "4      Glucolipotoxicity impairs CERT- and vesicular-...  PMC4211692   \n",
       "5      Bacterial Sia biosynthesis can be divided into...  PMC2588433   \n",
       "...                                                  ...         ...   \n",
       "64639  Hypothetical mechanism of activation of ENaC b...  PMC4216988   \n",
       "64640  A schematic diagram of a proposed working mode...  PMC2873070   \n",
       "64641  Models for nucleation of centrosomal and kinet...  PMC3651446   \n",
       "64642  A simplified TGFŒ≤ pathway leading to p21 expr...  PMC6770832   \n",
       "64643  Hypothetical model of EGFR and ANXA3 to fluoro...  PMC4609065   \n",
       "\n",
       "                                               paper_url  \\\n",
       "1      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...   \n",
       "2      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...   \n",
       "3      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...   \n",
       "4      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...   \n",
       "5      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2...   \n",
       "...                                                  ...   \n",
       "64639  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...   \n",
       "64640  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2...   \n",
       "64641  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3...   \n",
       "64642  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "64643  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...   \n",
       "\n",
       "                                         figure_page_url  \\\n",
       "1      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...   \n",
       "2      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...   \n",
       "3      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...   \n",
       "4      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...   \n",
       "5      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2...   \n",
       "...                                                  ...   \n",
       "64639  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...   \n",
       "64640  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2...   \n",
       "64641  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3...   \n",
       "64642  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "64643  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...   \n",
       "\n",
       "                                    figure_thumbnail_url  pfocr_year  \n",
       "1      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...        2020  \n",
       "2      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...        2020  \n",
       "3      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...        2020  \n",
       "4      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...        2020  \n",
       "5      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2...        2020  \n",
       "...                                                  ...         ...  \n",
       "64639  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...        2020  \n",
       "64640  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2...        2020  \n",
       "64641  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3...        2020  \n",
       "64642  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...        2020  \n",
       "64643  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4...        2020  \n",
       "\n",
       "[64643 rows x 14 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pfocr_figures_2020_rds_url = (\n",
    "    \"https://www.dropbox.com/s/qhc33zho78rnaoj/pfocr_figures.rds?dl=1\"\n",
    ")\n",
    "\n",
    "with tempfile.NamedTemporaryFile(suffix=\".rds\") as f:\n",
    "    pfocr_figures_2020_rds_path = f.name\n",
    "    with requests.get(pfocr_figures_2020_rds_url, stream=True) as r:\n",
    "        for chunk in r.iter_content(chunk_size=128):\n",
    "            f.write(chunk)\n",
    "        f.seek(0)\n",
    "    pfocr_figures_2020_rds_df = rds2pandas(pfocr_figures_2020_rds_path).rename(\n",
    "        columns={\n",
    "            \"figid\": \"pfocr_id\",\n",
    "            \"pmcid\": \"pmc_id\",\n",
    "            \"filename\": \"figure_filename\",\n",
    "            \"number\": \"figure_number\",\n",
    "            \"pmc_ranked_result_index\": \"pmc_search_index\",\n",
    "            \"figtitle\": \"figure_title\",\n",
    "            \"papertitle\": \"paper_title\",\n",
    "            \"caption\": \"figure_caption\",\n",
    "            \"figlink\": \"relative_figure_page_url\",\n",
    "            \"reftext\": \"reference\",\n",
    "            \"year\": \"publication_year\",\n",
    "        }\n",
    "    )\n",
    "\n",
    "\n",
    "pfocr_figures_2020_rds_df[\"paper_url\"] = (\n",
    "    \"https://www.ncbi.nlm.nih.gov/pmc/articles/\"\n",
    "    + pfocr_figures_2020_rds_df[\"pmc_id\"]\n",
    ")\n",
    "\n",
    "pfocr_figures_2020_rds_df[\"figure_page_url\"] = (\n",
    "    \"https://www.ncbi.nlm.nih.gov\"\n",
    "    + pfocr_figures_2020_rds_df[\"relative_figure_page_url\"]\n",
    ")\n",
    "\n",
    "pfocr_figures_2020_rds_df[\"figure_thumbnail_url\"] = (\n",
    "    \"https://www.ncbi.nlm.nih.gov/pmc/articles/\"\n",
    "    + pfocr_figures_2020_rds_df[\"pmc_id\"]\n",
    "    + \"/bin/\"\n",
    "    + pfocr_figures_2020_rds_df[\"figure_filename\"]\n",
    ")\n",
    "\n",
    "pfocr_figures_2020_rds_df[\"pfocr_year\"] = 2020\n",
    "\n",
    "pfocr_figures_2020_rds_df.drop(\n",
    "    columns=[\n",
    "        \"relative_figure_page_url\",\n",
    "        \"figure_filename\",\n",
    "        \"source_f\",\n",
    "        \"type.man\",\n",
    "        \"automl_index\",\n",
    "    ],\n",
    "    inplace=True,\n",
    ")\n",
    "\n",
    "pfocr_figures_2020_rds_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "%sql postgresql:///pfocr20200224"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql:///pfocr20200224\n",
      "114176 rows affected.\n",
      "Returning data to local variable figures_2020_db_data\n"
     ]
    }
   ],
   "source": [
    "%%sql figures_2020_db_data << SELECT id, filepath, figure_number, caption, resolution, hash\n",
    "FROM figures;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>filepath</th>\n",
       "      <th>figure_number</th>\n",
       "      <th>caption</th>\n",
       "      <th>resolution</th>\n",
       "      <th>hash</th>\n",
       "      <th>pfocr_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>99980</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/images_ocre...</td>\n",
       "      <td>nihms631297f1</td>\n",
       "      <td>None</td>\n",
       "      <td>150</td>\n",
       "      <td>f1251c61cdae166d9efe021a38a26df030e53cc0c8b446...</td>\n",
       "      <td>PMC4183209__nihms631297f1.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>99981</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/images_ocre...</td>\n",
       "      <td>zam0120900500001</td>\n",
       "      <td>None</td>\n",
       "      <td>72</td>\n",
       "      <td>99bfb01f132886e392fbe9987723edf477d1480eb116a1...</td>\n",
       "      <td>PMC2698365__zam0120900500001.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>99982</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/images_ocre...</td>\n",
       "      <td>nutrients-09-01243-g007</td>\n",
       "      <td>None</td>\n",
       "      <td>600</td>\n",
       "      <td>a34de0ab2744b046c9a2d927676b234d308327c615bcc4...</td>\n",
       "      <td>PMC5707715__nutrients-09-01243-g007.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>99983</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/images_ocre...</td>\n",
       "      <td>EMS83014-f003</td>\n",
       "      <td>None</td>\n",
       "      <td>96</td>\n",
       "      <td>7f4fafb790d9b92b98e3573f7d1edef1b9990e67d3af6d...</td>\n",
       "      <td>PMC6538535__EMS83014-f003.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>99984</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/images_ocre...</td>\n",
       "      <td>12014_2017_9165_Fig1_HTML</td>\n",
       "      <td>None</td>\n",
       "      <td>72</td>\n",
       "      <td>cae8e2ac3e341cec7e41c21cbdb2317999a1bfbb0bc7bc...</td>\n",
       "      <td>PMC5557313__12014_2017_9165_Fig1_HTML.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114171</th>\n",
       "      <td>17463</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/2019110...</td>\n",
       "      <td>kpsb-11-01-1119962-g016</td>\n",
       "      <td>None</td>\n",
       "      <td>200</td>\n",
       "      <td>d40168e350337ab4e9f18a8eacbcb1b233eeaa703e11b9...</td>\n",
       "      <td>PMC4871689__kpsb-11-01-1119962-g016.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114172</th>\n",
       "      <td>17464</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/2019110...</td>\n",
       "      <td>1471-2407-14-217-3</td>\n",
       "      <td>None</td>\n",
       "      <td>600</td>\n",
       "      <td>1ec4ad03dd5295e97fe7f1718cf609cb21d263341c12ec...</td>\n",
       "      <td>PMC3994450__1471-2407-14-217-3.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114173</th>\n",
       "      <td>17466</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/2019110...</td>\n",
       "      <td>gr3</td>\n",
       "      <td>None</td>\n",
       "      <td>113</td>\n",
       "      <td>581cebd1c383b70ba61359690b58ca69b1e3f978dd447f...</td>\n",
       "      <td>PMC4157144__gr3.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114174</th>\n",
       "      <td>17467</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/2019110...</td>\n",
       "      <td>nihms491534f1</td>\n",
       "      <td>None</td>\n",
       "      <td>150</td>\n",
       "      <td>86a3b076b363fdf036689937015d97eeae8d1e664fa1da...</td>\n",
       "      <td>PMC3748258__nihms491534f1.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114175</th>\n",
       "      <td>17470</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/2019110...</td>\n",
       "      <td>WJG-20-3927-g002</td>\n",
       "      <td>None</td>\n",
       "      <td>400</td>\n",
       "      <td>93f33535b500570723783127277e6f78da47077d0f552e...</td>\n",
       "      <td>PMC3983448__WJG-20-3927-g002.jpg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>114176 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id                                           filepath  \\\n",
       "0       99980  /home/ariutta/Documents/pfocr/data/images_ocre...   \n",
       "1       99981  /home/ariutta/Documents/pfocr/data/images_ocre...   \n",
       "2       99982  /home/ariutta/Documents/pfocr/data/images_ocre...   \n",
       "3       99983  /home/ariutta/Documents/pfocr/data/images_ocre...   \n",
       "4       99984  /home/ariutta/Documents/pfocr/data/images_ocre...   \n",
       "...       ...                                                ...   \n",
       "114171  17463  /home/ariutta/Documents/pfocr/data/pmc/2019110...   \n",
       "114172  17464  /home/ariutta/Documents/pfocr/data/pmc/2019110...   \n",
       "114173  17466  /home/ariutta/Documents/pfocr/data/pmc/2019110...   \n",
       "114174  17467  /home/ariutta/Documents/pfocr/data/pmc/2019110...   \n",
       "114175  17470  /home/ariutta/Documents/pfocr/data/pmc/2019110...   \n",
       "\n",
       "                    figure_number caption  resolution  \\\n",
       "0                   nihms631297f1    None         150   \n",
       "1                zam0120900500001    None          72   \n",
       "2         nutrients-09-01243-g007    None         600   \n",
       "3                   EMS83014-f003    None          96   \n",
       "4       12014_2017_9165_Fig1_HTML    None          72   \n",
       "...                           ...     ...         ...   \n",
       "114171    kpsb-11-01-1119962-g016    None         200   \n",
       "114172         1471-2407-14-217-3    None         600   \n",
       "114173                        gr3    None         113   \n",
       "114174              nihms491534f1    None         150   \n",
       "114175           WJG-20-3927-g002    None         400   \n",
       "\n",
       "                                                     hash  \\\n",
       "0       f1251c61cdae166d9efe021a38a26df030e53cc0c8b446...   \n",
       "1       99bfb01f132886e392fbe9987723edf477d1480eb116a1...   \n",
       "2       a34de0ab2744b046c9a2d927676b234d308327c615bcc4...   \n",
       "3       7f4fafb790d9b92b98e3573f7d1edef1b9990e67d3af6d...   \n",
       "4       cae8e2ac3e341cec7e41c21cbdb2317999a1bfbb0bc7bc...   \n",
       "...                                                   ...   \n",
       "114171  d40168e350337ab4e9f18a8eacbcb1b233eeaa703e11b9...   \n",
       "114172  1ec4ad03dd5295e97fe7f1718cf609cb21d263341c12ec...   \n",
       "114173  581cebd1c383b70ba61359690b58ca69b1e3f978dd447f...   \n",
       "114174  86a3b076b363fdf036689937015d97eeae8d1e664fa1da...   \n",
       "114175  93f33535b500570723783127277e6f78da47077d0f552e...   \n",
       "\n",
       "                                         pfocr_id  \n",
       "0                   PMC4183209__nihms631297f1.jpg  \n",
       "1                PMC2698365__zam0120900500001.jpg  \n",
       "2         PMC5707715__nutrients-09-01243-g007.jpg  \n",
       "3                   PMC6538535__EMS83014-f003.jpg  \n",
       "4       PMC5557313__12014_2017_9165_Fig1_HTML.jpg  \n",
       "...                                           ...  \n",
       "114171    PMC4871689__kpsb-11-01-1119962-g016.jpg  \n",
       "114172         PMC3994450__1471-2407-14-217-3.jpg  \n",
       "114173                        PMC4157144__gr3.jpg  \n",
       "114174              PMC3748258__nihms491534f1.jpg  \n",
       "114175           PMC3983448__WJG-20-3927-g002.jpg  \n",
       "\n",
       "[114176 rows x 7 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "figures_2020_db_df = figures_2020_db_data.DataFrame()\n",
    "\n",
    "figures_2020_db_df[\"pfocr_id\"] = figures_2020_db_df[\"filepath\"].apply(\n",
    "    lambda f: PurePath(f).name\n",
    ")\n",
    "\n",
    "figures_2020_db_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We get `114176` rows, `114117` unique pfocr_ids and `114111` unique images (by SHA256 hash):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "114176\n",
      "114117\n",
      "114111\n"
     ]
    }
   ],
   "source": [
    "figures_2020_db_pfocr_ids = figures_2020_db_df[\"pfocr_id\"].to_list()\n",
    "print(len(figures_2020_db_pfocr_ids))\n",
    "\n",
    "unique_figures_2020_db_pfocr_ids = set(figures_2020_db_pfocr_ids)\n",
    "print(len(unique_figures_2020_db_pfocr_ids))\n",
    "\n",
    "figures_2020_db_hashes = figures_2020_db_df[\"hash\"].to_list()\n",
    "unique_figures_2020_db_hashes = set(figures_2020_db_hashes)\n",
    "print(len(unique_figures_2020_db_hashes))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There was a small percentage that failed to make it through the pipeline in 2020. Those may explain at least some of the 726 pfocr_ids below. They could have been successfully downloaded in 2020, so they show up in the 2020 figures RDS file, but if they failed to make it through the pipeline, so they might not have a database entry."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "726"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(\n",
    "    set(pfocr_figures_2020_rds_df[\"pfocr_id\"])\n",
    "    - set(figures_2020_db_df[\"pfocr_id\"])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "print(\"PMC6936734__nihms-1063332-f0001.jpg\" in unique_figures_2020_db_pfocr_ids)\n",
    "print(\n",
    "    \"PMC6936734__nihms-1063332-f0001.jpg\"\n",
    "    in set(pfocr_figures_2020_rds_df[\"pfocr_id\"])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>filepath</th>\n",
       "      <th>figure_number</th>\n",
       "      <th>caption</th>\n",
       "      <th>resolution</th>\n",
       "      <th>hash</th>\n",
       "      <th>pfocr_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [id, filepath, figure_number, caption, resolution, hash, pfocr_id]\n",
       "Index: []"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pmc_re = re.compile(\".*\\/PMC\\d+__.*\\.jpg\")\n",
    "figures_2020_db_df[figures_2020_db_df[\"filepath\"].str.match(\"PMC6936734\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>99980</td>\n",
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       "      <td>f1251c61cdae166d9efe021a38a26df030e53cc0c8b446...</td>\n",
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       "      <td>99981</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/images_ocre...</td>\n",
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       "      <td>None</td>\n",
       "      <td>72</td>\n",
       "      <td>99bfb01f132886e392fbe9987723edf477d1480eb116a1...</td>\n",
       "      <td>PMC2698365__zam0120900500001.jpg</td>\n",
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       "    <tr>\n",
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       "      <td>99982</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/images_ocre...</td>\n",
       "      <td>nutrients-09-01243-g007</td>\n",
       "      <td>None</td>\n",
       "      <td>600</td>\n",
       "      <td>a34de0ab2744b046c9a2d927676b234d308327c615bcc4...</td>\n",
       "      <td>PMC5707715__nutrients-09-01243-g007.jpg</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>99983</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/images_ocre...</td>\n",
       "      <td>EMS83014-f003</td>\n",
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       "      <td>96</td>\n",
       "      <td>7f4fafb790d9b92b98e3573f7d1edef1b9990e67d3af6d...</td>\n",
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       "      <td>99984</td>\n",
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       "      <td>12014_2017_9165_Fig1_HTML</td>\n",
       "      <td>None</td>\n",
       "      <td>72</td>\n",
       "      <td>cae8e2ac3e341cec7e41c21cbdb2317999a1bfbb0bc7bc...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>114171</th>\n",
       "      <td>17463</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/2019110...</td>\n",
       "      <td>kpsb-11-01-1119962-g016</td>\n",
       "      <td>None</td>\n",
       "      <td>200</td>\n",
       "      <td>d40168e350337ab4e9f18a8eacbcb1b233eeaa703e11b9...</td>\n",
       "      <td>PMC4871689__kpsb-11-01-1119962-g016.jpg</td>\n",
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       "    <tr>\n",
       "      <th>114172</th>\n",
       "      <td>17464</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/2019110...</td>\n",
       "      <td>1471-2407-14-217-3</td>\n",
       "      <td>None</td>\n",
       "      <td>600</td>\n",
       "      <td>1ec4ad03dd5295e97fe7f1718cf609cb21d263341c12ec...</td>\n",
       "      <td>PMC3994450__1471-2407-14-217-3.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114173</th>\n",
       "      <td>17466</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/2019110...</td>\n",
       "      <td>gr3</td>\n",
       "      <td>None</td>\n",
       "      <td>113</td>\n",
       "      <td>581cebd1c383b70ba61359690b58ca69b1e3f978dd447f...</td>\n",
       "      <td>PMC4157144__gr3.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114174</th>\n",
       "      <td>17467</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/2019110...</td>\n",
       "      <td>nihms491534f1</td>\n",
       "      <td>None</td>\n",
       "      <td>150</td>\n",
       "      <td>86a3b076b363fdf036689937015d97eeae8d1e664fa1da...</td>\n",
       "      <td>PMC3748258__nihms491534f1.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114175</th>\n",
       "      <td>17470</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/2019110...</td>\n",
       "      <td>WJG-20-3927-g002</td>\n",
       "      <td>None</td>\n",
       "      <td>400</td>\n",
       "      <td>93f33535b500570723783127277e6f78da47077d0f552e...</td>\n",
       "      <td>PMC3983448__WJG-20-3927-g002.jpg</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>114176 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id                                           filepath  \\\n",
       "0       99980  /home/ariutta/Documents/pfocr/data/images_ocre...   \n",
       "1       99981  /home/ariutta/Documents/pfocr/data/images_ocre...   \n",
       "2       99982  /home/ariutta/Documents/pfocr/data/images_ocre...   \n",
       "3       99983  /home/ariutta/Documents/pfocr/data/images_ocre...   \n",
       "4       99984  /home/ariutta/Documents/pfocr/data/images_ocre...   \n",
       "...       ...                                                ...   \n",
       "114171  17463  /home/ariutta/Documents/pfocr/data/pmc/2019110...   \n",
       "114172  17464  /home/ariutta/Documents/pfocr/data/pmc/2019110...   \n",
       "114173  17466  /home/ariutta/Documents/pfocr/data/pmc/2019110...   \n",
       "114174  17467  /home/ariutta/Documents/pfocr/data/pmc/2019110...   \n",
       "114175  17470  /home/ariutta/Documents/pfocr/data/pmc/2019110...   \n",
       "\n",
       "                    figure_number caption  resolution  \\\n",
       "0                   nihms631297f1    None         150   \n",
       "1                zam0120900500001    None          72   \n",
       "2         nutrients-09-01243-g007    None         600   \n",
       "3                   EMS83014-f003    None          96   \n",
       "4       12014_2017_9165_Fig1_HTML    None          72   \n",
       "...                           ...     ...         ...   \n",
       "114171    kpsb-11-01-1119962-g016    None         200   \n",
       "114172         1471-2407-14-217-3    None         600   \n",
       "114173                        gr3    None         113   \n",
       "114174              nihms491534f1    None         150   \n",
       "114175           WJG-20-3927-g002    None         400   \n",
       "\n",
       "                                                     hash  \\\n",
       "0       f1251c61cdae166d9efe021a38a26df030e53cc0c8b446...   \n",
       "1       99bfb01f132886e392fbe9987723edf477d1480eb116a1...   \n",
       "2       a34de0ab2744b046c9a2d927676b234d308327c615bcc4...   \n",
       "3       7f4fafb790d9b92b98e3573f7d1edef1b9990e67d3af6d...   \n",
       "4       cae8e2ac3e341cec7e41c21cbdb2317999a1bfbb0bc7bc...   \n",
       "...                                                   ...   \n",
       "114171  d40168e350337ab4e9f18a8eacbcb1b233eeaa703e11b9...   \n",
       "114172  1ec4ad03dd5295e97fe7f1718cf609cb21d263341c12ec...   \n",
       "114173  581cebd1c383b70ba61359690b58ca69b1e3f978dd447f...   \n",
       "114174  86a3b076b363fdf036689937015d97eeae8d1e664fa1da...   \n",
       "114175  93f33535b500570723783127277e6f78da47077d0f552e...   \n",
       "\n",
       "                                         pfocr_id  \n",
       "0                   PMC4183209__nihms631297f1.jpg  \n",
       "1                PMC2698365__zam0120900500001.jpg  \n",
       "2         PMC5707715__nutrients-09-01243-g007.jpg  \n",
       "3                   PMC6538535__EMS83014-f003.jpg  \n",
       "4       PMC5557313__12014_2017_9165_Fig1_HTML.jpg  \n",
       "...                                           ...  \n",
       "114171    PMC4871689__kpsb-11-01-1119962-g016.jpg  \n",
       "114172         PMC3994450__1471-2407-14-217-3.jpg  \n",
       "114173                        PMC4157144__gr3.jpg  \n",
       "114174              PMC3748258__nihms491534f1.jpg  \n",
       "114175           PMC3983448__WJG-20-3927-g002.jpg  \n",
       "\n",
       "[114176 rows x 7 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pmc_re = re.compile(\".*\\/PMC\\d+__.*\\.jpg\")\n",
    "figures_2020_db_df[figures_2020_db_df[\"filepath\"].str.match(pmc_re)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note we have a few instances of the same figure being stored in different directories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>7830</th>\n",
       "      <td>107284</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/images_ocred_20200224/PMC2099484__1471-2105-8-S7-S16-8.jpg</td>\n",
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       "    <tr>\n",
       "      <th>89090</th>\n",
       "      <td>90587</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/20191102_93k/images/PMC2099484__1471-2105-8-S7-S16-8.jpg</td>\n",
       "      <td>1471-2105-8-S7-S16-8</td>\n",
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       "      <td>PMC2099484__1471-2105-8-S7-S16-8.jpg</td>\n",
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       "    <tr>\n",
       "      <th>2525</th>\n",
       "      <td>102341</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/images_ocred_20200224/PMC2225983__1752-0509-1-56-4.jpg</td>\n",
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       "      <td>pcbi.0040028.g003</td>\n",
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       "      <td>1282</td>\n",
       "      <td>344e1e6bfd77363b08c1b5330a427692a041451ef1fae9e99f6b1bea0f8952cf</td>\n",
       "      <td>PMC2242820__pcbi.0040028.g003.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <th>87926</th>\n",
       "      <td>89327</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/20191102_93k/images/PMC6694157__41598_2019_48372_Fig6_HTML.jpg</td>\n",
       "      <td>41598_2019_48372_Fig6_HTML</td>\n",
       "      <td>None</td>\n",
       "      <td>96</td>\n",
       "      <td>0ee22cb93cbd7e1e238af3c8a0b5fce64bafa8ee15b21daa2a31c140bbce7f4c</td>\n",
       "      <td>PMC6694157__41598_2019_48372_Fig6_HTML.jpg</td>\n",
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       "    <tr>\n",
       "      <th>11606</th>\n",
       "      <td>110821</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/images_ocred_20200224/PMC6727561__12885_2019_6052_Fig4_HTML.jpg</td>\n",
       "      <td>12885_2019_6052_Fig4_HTML</td>\n",
       "      <td>None</td>\n",
       "      <td>96</td>\n",
       "      <td>f5962854dad781e76aa6face4170123e908b6e0d0e0e221bedbc10cafa385256</td>\n",
       "      <td>PMC6727561__12885_2019_6052_Fig4_HTML.jpg</td>\n",
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       "    <tr>\n",
       "      <th>38323</th>\n",
       "      <td>36042</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/20191102_93k/images/PMC6727561__12885_2019_6052_Fig4_HTML.jpg</td>\n",
       "      <td>12885_2019_6052_Fig4_HTML</td>\n",
       "      <td>None</td>\n",
       "      <td>96</td>\n",
       "      <td>f5962854dad781e76aa6face4170123e908b6e0d0e0e221bedbc10cafa385256</td>\n",
       "      <td>PMC6727561__12885_2019_6052_Fig4_HTML.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4498</th>\n",
       "      <td>104176</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/images_ocred_20200224/PMC6797170__pone.0223840.g006.jpg</td>\n",
       "      <td>pone.0223840.g006</td>\n",
       "      <td>None</td>\n",
       "      <td>300</td>\n",
       "      <td>d13a0716aade67ccf34140131c3edb5bdf07ddad3f6d4e9e63f5381e398cbf3d</td>\n",
       "      <td>PMC6797170__pone.0223840.g006.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40772</th>\n",
       "      <td>38683</td>\n",
       "      <td>/home/ariutta/Documents/pfocr/data/pmc/20191102_93k/images/PMC6797170__pone.0223840.g006.jpg</td>\n",
       "      <td>pone.0223840.g006</td>\n",
       "      <td>None</td>\n",
       "      <td>300</td>\n",
       "      <td>d13a0716aade67ccf34140131c3edb5bdf07ddad3f6d4e9e63f5381e398cbf3d</td>\n",
       "      <td>PMC6797170__pone.0223840.g006.jpg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>118 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id  \\\n",
       "7830   107284   \n",
       "89090   90587   \n",
       "2525   102341   \n",
       "93084   94848   \n",
       "21952  120532   \n",
       "...       ...   \n",
       "87926   89327   \n",
       "11606  110821   \n",
       "38323   36042   \n",
       "4498   104176   \n",
       "40772   38683   \n",
       "\n",
       "                                                                                                    filepath  \\\n",
       "7830           /home/ariutta/Documents/pfocr/data/images_ocred_20200224/PMC2099484__1471-2105-8-S7-S16-8.jpg   \n",
       "89090        /home/ariutta/Documents/pfocr/data/pmc/20191102_93k/images/PMC2099484__1471-2105-8-S7-S16-8.jpg   \n",
       "2525               /home/ariutta/Documents/pfocr/data/images_ocred_20200224/PMC2225983__1752-0509-1-56-4.jpg   \n",
       "93084            /home/ariutta/Documents/pfocr/data/pmc/20191102_93k/images/PMC2225983__1752-0509-1-56-4.jpg   \n",
       "21952             /home/ariutta/Documents/pfocr/data/images_ocred_20200224/PMC2242820__pcbi.0040028.g003.jpg   \n",
       "...                                                                                                      ...   \n",
       "87926  /home/ariutta/Documents/pfocr/data/pmc/20191102_93k/images/PMC6694157__41598_2019_48372_Fig6_HTML.jpg   \n",
       "11606     /home/ariutta/Documents/pfocr/data/images_ocred_20200224/PMC6727561__12885_2019_6052_Fig4_HTML.jpg   \n",
       "38323   /home/ariutta/Documents/pfocr/data/pmc/20191102_93k/images/PMC6727561__12885_2019_6052_Fig4_HTML.jpg   \n",
       "4498              /home/ariutta/Documents/pfocr/data/images_ocred_20200224/PMC6797170__pone.0223840.g006.jpg   \n",
       "40772           /home/ariutta/Documents/pfocr/data/pmc/20191102_93k/images/PMC6797170__pone.0223840.g006.jpg   \n",
       "\n",
       "                    figure_number caption  resolution  \\\n",
       "7830         1471-2105-8-S7-S16-8    None         100   \n",
       "89090        1471-2105-8-S7-S16-8    None         100   \n",
       "2525             1752-0509-1-56-4    None          94   \n",
       "93084            1752-0509-1-56-4    None          94   \n",
       "21952           pcbi.0040028.g003    None        1282   \n",
       "...                           ...     ...         ...   \n",
       "87926  41598_2019_48372_Fig6_HTML    None          96   \n",
       "11606   12885_2019_6052_Fig4_HTML    None          96   \n",
       "38323   12885_2019_6052_Fig4_HTML    None          96   \n",
       "4498            pone.0223840.g006    None         300   \n",
       "40772           pone.0223840.g006    None         300   \n",
       "\n",
       "                                                                   hash  \\\n",
       "7830   19c81f2cb6424cd17279e8bf2910235281e364e9ea89e965504be5fe6d9394f1   \n",
       "89090  19c81f2cb6424cd17279e8bf2910235281e364e9ea89e965504be5fe6d9394f1   \n",
       "2525   b6ae057df17f7e9a50e963052785274bb294601a3edfcff11408d6c4f3df578f   \n",
       "93084  b6ae057df17f7e9a50e963052785274bb294601a3edfcff11408d6c4f3df578f   \n",
       "21952  344e1e6bfd77363b08c1b5330a427692a041451ef1fae9e99f6b1bea0f8952cf   \n",
       "...                                                                 ...   \n",
       "87926  0ee22cb93cbd7e1e238af3c8a0b5fce64bafa8ee15b21daa2a31c140bbce7f4c   \n",
       "11606  f5962854dad781e76aa6face4170123e908b6e0d0e0e221bedbc10cafa385256   \n",
       "38323  f5962854dad781e76aa6face4170123e908b6e0d0e0e221bedbc10cafa385256   \n",
       "4498   d13a0716aade67ccf34140131c3edb5bdf07ddad3f6d4e9e63f5381e398cbf3d   \n",
       "40772  d13a0716aade67ccf34140131c3edb5bdf07ddad3f6d4e9e63f5381e398cbf3d   \n",
       "\n",
       "                                         pfocr_id  \n",
       "7830         PMC2099484__1471-2105-8-S7-S16-8.jpg  \n",
       "89090        PMC2099484__1471-2105-8-S7-S16-8.jpg  \n",
       "2525             PMC2225983__1752-0509-1-56-4.jpg  \n",
       "93084            PMC2225983__1752-0509-1-56-4.jpg  \n",
       "21952           PMC2242820__pcbi.0040028.g003.jpg  \n",
       "...                                           ...  \n",
       "87926  PMC6694157__41598_2019_48372_Fig6_HTML.jpg  \n",
       "11606   PMC6727561__12885_2019_6052_Fig4_HTML.jpg  \n",
       "38323   PMC6727561__12885_2019_6052_Fig4_HTML.jpg  \n",
       "4498            PMC6797170__pone.0223840.g006.jpg  \n",
       "40772           PMC6797170__pone.0223840.g006.jpg  \n",
       "\n",
       "[118 rows x 7 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with pd.option_context(\"display.max_colwidth\", None):\n",
    "    display(\n",
    "        figures_2020_db_df[\n",
    "            figures_2020_db_df[\"pfocr_id\"].duplicated(keep=False)\n",
    "        ].sort_values(by=[\"pfocr_id\", \"filepath\"])\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load OCR 2021 Results\n",
    "\n",
    "and get the subset of pathway figures not in the 2020 set."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### Load the RDS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pmc_search_index</th>\n",
       "      <th>pfocr_id</th>\n",
       "      <th>pmc_id</th>\n",
       "      <th>figure_number</th>\n",
       "      <th>figure_title</th>\n",
       "      <th>paper_title</th>\n",
       "      <th>figure_caption</th>\n",
       "      <th>reference</th>\n",
       "      <th>paper_url</th>\n",
       "      <th>figure_page_url</th>\n",
       "      <th>figure_thumbnail_url</th>\n",
       "      <th>pfocr_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>PMC7970325__gr12.jpg</td>\n",
       "      <td>PMC7970325</td>\n",
       "      <td>Figure 12</td>\n",
       "      <td>Average PAL values for 36 differential DNA rep...</td>\n",
       "      <td>DNA repair pathway activation features in foll...</td>\n",
       "      <td>Average PAL values for 36 differential DNA rep...</td>\n",
       "      <td>Uliana Vladimirova, et al. Heliyon. 2021 Mar;7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>PMC7847494__ijcep0014-0097-f3.jpg</td>\n",
       "      <td>PMC7847494</td>\n",
       "      <td>Figure 3</td>\n",
       "      <td>GSEA enrichment analysis of PDK2-4 in breast c...</td>\n",
       "      <td>Expression and clinical significance of PDK fa...</td>\n",
       "      <td>GSEA enrichment analysis of PDK2-4 in breast c...</td>\n",
       "      <td>Jian Xu, et al. Int J Clin Exp Pathol. 2021;14...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>PMC6137129__fimmu-09-02055-g0006.jpg</td>\n",
       "      <td>PMC6137129</td>\n",
       "      <td>Figure 6</td>\n",
       "      <td>Overrepresented KEGG metabolic and signaling p...</td>\n",
       "      <td>Molecular and Cellular Response to Experimenta...</td>\n",
       "      <td>Overrepresented KEGG metabolic and signaling p...</td>\n",
       "      <td>Ivana Bušelić, et al. Front Immunol. 2018;9:2055.</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>PMC6721529__cells-08-00806-g003.jpg</td>\n",
       "      <td>PMC6721529</td>\n",
       "      <td>Figure 3</td>\n",
       "      <td>Canonical pathway analysis of proteins identif...</td>\n",
       "      <td>Impact of Heat Shock Protein 90 Inhibition on ...</td>\n",
       "      <td>Canonical pathway analysis of proteins identif...</td>\n",
       "      <td>Ángela Marrugal, et al. Cells. 2019 Aug;8(8):806.</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>PMC7970325__gr17.jpg</td>\n",
       "      <td>PMC7970325</td>\n",
       "      <td>Figure 17</td>\n",
       "      <td>PAL distribution for 38 DNA repair pathways in...</td>\n",
       "      <td>DNA repair pathway activation features in foll...</td>\n",
       "      <td>PAL distribution for 38 DNA repair pathways in...</td>\n",
       "      <td>Uliana Vladimirova, et al. Heliyon. 2021 Mar;7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124459</th>\n",
       "      <td>124560</td>\n",
       "      <td>PMC7352181__cancers-12-01457-g002.jpg</td>\n",
       "      <td>PMC7352181</td>\n",
       "      <td>Figure 2</td>\n",
       "      <td>Angiotensin-associated pathways associated wit...</td>\n",
       "      <td>Renin-Angiotensin System in Lung Tumor and Mic...</td>\n",
       "      <td>Angiotensin-associated pathways associated wit...</td>\n",
       "      <td>Maria Joana Catarata, et al. Cancers (Basel). ...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124460</th>\n",
       "      <td>124561</td>\n",
       "      <td>PMC6952829__bloodBLD2019001438f2.jpg</td>\n",
       "      <td>PMC6952829</td>\n",
       "      <td>Figure 2</td>\n",
       "      <td>Concurrent activation of NF-κB and Notch signa...</td>\n",
       "      <td>Coactivation of NF-κB and Notch signaling is s...</td>\n",
       "      <td>Concurrent activation of NF-κB and Notch signa...</td>\n",
       "      <td>Yan Xiu, et al. Blood. 2020 Jan 9;135(2):108-120.</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124461</th>\n",
       "      <td>124562</td>\n",
       "      <td>PMC7777525__gr2.jpg</td>\n",
       "      <td>PMC7777525</td>\n",
       "      <td>Fig. 2</td>\n",
       "      <td>Schematic representation of type I to type VI ...</td>\n",
       "      <td>Secrete or perish: The role of secretion syste...</td>\n",
       "      <td>Schematic representation of type I to type VI ...</td>\n",
       "      <td>Cristina E. Alvarez-Martinez, et al. Comput St...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124462</th>\n",
       "      <td>124563</td>\n",
       "      <td>PMC6092289__TJP-596-3469-g003.jpg</td>\n",
       "      <td>PMC6092289</td>\n",
       "      <td>Figure 2</td>\n",
       "      <td></td>\n",
       "      <td>The negotiated equilibrium model of spinal cor...</td>\n",
       "      <td>A, left: soleus EMG is monitored 24 h per day ...</td>\n",
       "      <td>Jonathan R. Wolpaw. J Physiol. 2018 Aug 15;596...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124463</th>\n",
       "      <td>124564</td>\n",
       "      <td>PMC6804866__41423_2019_269_Fig1_HTML.jpg</td>\n",
       "      <td>PMC6804866</td>\n",
       "      <td>Fig. 1</td>\n",
       "      <td>The mitochondrial pool of β-actin is required ...</td>\n",
       "      <td>Mitochondria-localized β-actin is essential fo...</td>\n",
       "      <td>The mitochondrial pool of β-actin is required ...</td>\n",
       "      <td>Xin Xie, et al. Cell Mol Immunol. 2019 Oct;16(...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>124464 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       pmc_search_index                                  pfocr_id      pmc_id  \\\n",
       "0                     1                      PMC7970325__gr12.jpg  PMC7970325   \n",
       "1                     2         PMC7847494__ijcep0014-0097-f3.jpg  PMC7847494   \n",
       "2                     3      PMC6137129__fimmu-09-02055-g0006.jpg  PMC6137129   \n",
       "3                     4       PMC6721529__cells-08-00806-g003.jpg  PMC6721529   \n",
       "4                     5                      PMC7970325__gr17.jpg  PMC7970325   \n",
       "...                 ...                                       ...         ...   \n",
       "124459           124560     PMC7352181__cancers-12-01457-g002.jpg  PMC7352181   \n",
       "124460           124561      PMC6952829__bloodBLD2019001438f2.jpg  PMC6952829   \n",
       "124461           124562                       PMC7777525__gr2.jpg  PMC7777525   \n",
       "124462           124563         PMC6092289__TJP-596-3469-g003.jpg  PMC6092289   \n",
       "124463           124564  PMC6804866__41423_2019_269_Fig1_HTML.jpg  PMC6804866   \n",
       "\n",
       "       figure_number                                       figure_title  \\\n",
       "0          Figure 12  Average PAL values for 36 differential DNA rep...   \n",
       "1           Figure 3  GSEA enrichment analysis of PDK2-4 in breast c...   \n",
       "2           Figure 6  Overrepresented KEGG metabolic and signaling p...   \n",
       "3           Figure 3  Canonical pathway analysis of proteins identif...   \n",
       "4          Figure 17  PAL distribution for 38 DNA repair pathways in...   \n",
       "...              ...                                                ...   \n",
       "124459      Figure 2  Angiotensin-associated pathways associated wit...   \n",
       "124460      Figure 2  Concurrent activation of NF-κB and Notch signa...   \n",
       "124461        Fig. 2  Schematic representation of type I to type VI ...   \n",
       "124462      Figure 2                                                      \n",
       "124463        Fig. 1  The mitochondrial pool of β-actin is required ...   \n",
       "\n",
       "                                              paper_title  \\\n",
       "0       DNA repair pathway activation features in foll...   \n",
       "1       Expression and clinical significance of PDK fa...   \n",
       "2       Molecular and Cellular Response to Experimenta...   \n",
       "3       Impact of Heat Shock Protein 90 Inhibition on ...   \n",
       "4       DNA repair pathway activation features in foll...   \n",
       "...                                                   ...   \n",
       "124459  Renin-Angiotensin System in Lung Tumor and Mic...   \n",
       "124460  Coactivation of NF-κB and Notch signaling is s...   \n",
       "124461  Secrete or perish: The role of secretion syste...   \n",
       "124462  The negotiated equilibrium model of spinal cor...   \n",
       "124463  Mitochondria-localized β-actin is essential fo...   \n",
       "\n",
       "                                           figure_caption  \\\n",
       "0       Average PAL values for 36 differential DNA rep...   \n",
       "1       GSEA enrichment analysis of PDK2-4 in breast c...   \n",
       "2       Overrepresented KEGG metabolic and signaling p...   \n",
       "3       Canonical pathway analysis of proteins identif...   \n",
       "4       PAL distribution for 38 DNA repair pathways in...   \n",
       "...                                                   ...   \n",
       "124459  Angiotensin-associated pathways associated wit...   \n",
       "124460  Concurrent activation of NF-κB and Notch signa...   \n",
       "124461  Schematic representation of type I to type VI ...   \n",
       "124462  A, left: soleus EMG is monitored 24 h per day ...   \n",
       "124463  The mitochondrial pool of β-actin is required ...   \n",
       "\n",
       "                                                reference  \\\n",
       "0       Uliana Vladimirova, et al. Heliyon. 2021 Mar;7...   \n",
       "1       Jian Xu, et al. Int J Clin Exp Pathol. 2021;14...   \n",
       "2       Ivana Bušelić, et al. Front Immunol. 2018;9:2055.   \n",
       "3       Ángela Marrugal, et al. Cells. 2019 Aug;8(8):806.   \n",
       "4       Uliana Vladimirova, et al. Heliyon. 2021 Mar;7...   \n",
       "...                                                   ...   \n",
       "124459  Maria Joana Catarata, et al. Cancers (Basel). ...   \n",
       "124460  Yan Xiu, et al. Blood. 2020 Jan 9;135(2):108-120.   \n",
       "124461  Cristina E. Alvarez-Martinez, et al. Comput St...   \n",
       "124462  Jonathan R. Wolpaw. J Physiol. 2018 Aug 15;596...   \n",
       "124463  Xin Xie, et al. Cell Mol Immunol. 2019 Oct;16(...   \n",
       "\n",
       "                                                paper_url  \\\n",
       "0       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "1       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "2       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "3       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "4       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "...                                                   ...   \n",
       "124459  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "124460  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "124461  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "124462  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "124463  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "\n",
       "                                          figure_page_url  \\\n",
       "0       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "1       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "2       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "3       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "4       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "...                                                   ...   \n",
       "124459  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "124460  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "124461  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "124462  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "124463  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "\n",
       "                                     figure_thumbnail_url  pfocr_year  \n",
       "0       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...        2021  \n",
       "1       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...        2021  \n",
       "2       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...        2021  \n",
       "3       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...        2021  \n",
       "4       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...        2021  \n",
       "...                                                   ...         ...  \n",
       "124459  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...        2021  \n",
       "124460  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...        2021  \n",
       "124461  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...        2021  \n",
       "124462  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...        2021  \n",
       "124463  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...        2021  \n",
       "\n",
       "[124464 rows x 12 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target_date = \"20210513\"\n",
    "pmc_image_search_df = (\n",
    "    rds2pandas(\n",
    "        data_dir.joinpath(\n",
    "            f\"imagesdocsum_pathway_queries/{target_date}/pmc.df.all.rds\"\n",
    "        )\n",
    "    )\n",
    "    .reset_index()\n",
    "    .rename(\n",
    "        columns={\n",
    "            \"index\": \"pmc_search_index\",\n",
    "            \"figid\": \"pfocr_id\",\n",
    "            \"pmcid\": \"pmc_id\",\n",
    "            \"filename\": \"figure_filename\",\n",
    "            \"number\": \"figure_number\",\n",
    "            \"figtitle\": \"figure_title\",\n",
    "            \"papertitle\": \"paper_title\",\n",
    "            \"caption\": \"figure_caption\",\n",
    "            \"figlink\": \"relative_figure_page_url\",\n",
    "            \"reftext\": \"reference\",\n",
    "            # the RDS doesn't have a year column\n",
    "            # \"year\": \"publication_year\",\n",
    "        }\n",
    "    )\n",
    ")\n",
    "\n",
    "pmc_image_search_df[\"paper_url\"] = (\n",
    "    \"https://www.ncbi.nlm.nih.gov/pmc/articles/\" + pmc_image_search_df[\"pmc_id\"]\n",
    ")\n",
    "\n",
    "pmc_image_search_df[\"figure_page_url\"] = (\n",
    "    \"https://www.ncbi.nlm.nih.gov\"\n",
    "    + pmc_image_search_df[\"relative_figure_page_url\"]\n",
    ")\n",
    "\n",
    "pmc_image_search_df[\"figure_thumbnail_url\"] = (\n",
    "    \"https://www.ncbi.nlm.nih.gov/pmc/articles/\"\n",
    "    + pmc_image_search_df[\"pmc_id\"]\n",
    "    + \"/bin/\"\n",
    "    + pmc_image_search_df[\"figure_filename\"]\n",
    ")\n",
    "\n",
    "pmc_image_search_df[\"pfocr_year\"] = 2021\n",
    "\n",
    "pmc_image_search_df.drop(\n",
    "    columns=[\n",
    "        \"relative_figure_page_url\",\n",
    "        \"figure_filename\",\n",
    "    ],\n",
    "    inplace=True,\n",
    ")\n",
    "\n",
    "pmc_image_search_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### Load from file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total_figure_path_count: 124447\n",
      "124447\n"
     ]
    }
   ],
   "source": [
    "target_date = \"20210513\"\n",
    "images_dir = Path(f\"../data/images/{target_date}\")\n",
    "\n",
    "figure_paths = list()\n",
    "for ext in (\"*.jpg\", \"*.jpeg\", \"*.png\"):\n",
    "    for f in images_dir.rglob(ext):\n",
    "        figure_paths.append(f)\n",
    "total_figure_path_count = len(figure_paths)\n",
    "print(f\"total_figure_path_count: {total_figure_path_count}\")\n",
    "\n",
    "directory_data_path = Path(\n",
    "    f\"../data/images/{target_date}/collected_directory_data.json\"\n",
    ")\n",
    "\n",
    "if directory_data_path.exists():\n",
    "    with directory_data_path.open(\"r\") as f:\n",
    "        figures2021_data = json.load(f)\n",
    "else:\n",
    "    figures2021_data = list()\n",
    "\n",
    "    for figure_path in figure_paths:\n",
    "        automl_output_path = figure_path.with_name(\n",
    "            f\"{figure_path.stem}_automl.json\"\n",
    "        )\n",
    "        ocr_output_path = figure_path.with_name(f\"{figure_path.stem}_ocr.json\")\n",
    "        pfocr_id = figure_path.name\n",
    "\n",
    "        row = {\n",
    "            \"pfocr_id\": pfocr_id,\n",
    "            \"figure_path\": str(figure_path),\n",
    "            \"ocr_output_path\": str(ocr_output_path),\n",
    "            \"automl_output_path\": str(automl_output_path),\n",
    "        }\n",
    "\n",
    "        if automl_output_path.exists():\n",
    "            row[\"automl_succeeded\"] = True\n",
    "            with automl_output_path.open(\"r\") as f:\n",
    "                automl_output = json.load(f)\n",
    "                row[\"classification\"] = automl_output[\"displayName\"]\n",
    "                row[\"pathway_score\"] = automl_output[\"classification\"][\"score\"]\n",
    "\n",
    "        if ocr_output_path.exists():\n",
    "            row[\"ocr_succeeded\"] = True\n",
    "\n",
    "        m = hashlib.sha256()\n",
    "        with open(figure_path, \"rb\") as f:\n",
    "            m.update(f.read())\n",
    "        figure_hash = m.hexdigest()\n",
    "\n",
    "        row[\"hash\"] = figure_hash\n",
    "        # I found some cases where the pfocr_id is identical from 2020 and 2021,\n",
    "        # but the image hash is not.\n",
    "        row[\"new\"] = (figure_hash not in figures_2020_db_hashes) and (\n",
    "            pfocr_id not in unique_figures_2020_db_pfocr_ids\n",
    "        )\n",
    "\n",
    "        figures2021_data.append(row)\n",
    "\n",
    "    with directory_data_path.open(\"w\", encoding=\"utf8\") as f:\n",
    "        json.dump(figures2021_data, f, ensure_ascii=False)\n",
    "\n",
    "print(len(figures2021_data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "\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>pfocr_id</th>\n",
       "      <th>figure_path</th>\n",
       "      <th>ocr_output_path</th>\n",
       "      <th>automl_output_path</th>\n",
       "      <th>automl_succeeded</th>\n",
       "      <th>classification</th>\n",
       "      <th>pathway_score</th>\n",
       "      <th>ocr_succeeded</th>\n",
       "      <th>hash</th>\n",
       "      <th>new</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PMC5814228__oncotarget-09-6499-g006.jpg</td>\n",
       "      <td>../data/images/20210513/PMC5814228__oncotarget...</td>\n",
       "      <td>../data/images/20210513/PMC5814228__oncotarget...</td>\n",
       "      <td>../data/images/20210513/PMC5814228__oncotarget...</td>\n",
       "      <td>True</td>\n",
       "      <td>pathway</td>\n",
       "      <td>0.875032</td>\n",
       "      <td>True</td>\n",
       "      <td>1c9a7731d9d4a5b956d84bbc0070661cf7a0c66b8964db...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PMC6449403__41598_2019_42220_Fig7_HTML.jpg</td>\n",
       "      <td>../data/images/20210513/PMC6449403__41598_2019...</td>\n",
       "      <td>../data/images/20210513/PMC6449403__41598_2019...</td>\n",
       "      <td>../data/images/20210513/PMC6449403__41598_2019...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.939483</td>\n",
       "      <td>NaN</td>\n",
       "      <td>e4511fb4f5eacc744c9faf678bd49b0362069aafc98002...</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PMC6161541__fphar-09-01071-g006.jpg</td>\n",
       "      <td>../data/images/20210513/PMC6161541__fphar-09-0...</td>\n",
       "      <td>../data/images/20210513/PMC6161541__fphar-09-0...</td>\n",
       "      <td>../data/images/20210513/PMC6161541__fphar-09-0...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.936534</td>\n",
       "      <td>NaN</td>\n",
       "      <td>b09c82c0a8fb6b3306c2a6d8599d54ca41c935e38e2c68...</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PMC6629942__bsr-39-bsr20191210-g2.jpg</td>\n",
       "      <td>../data/images/20210513/PMC6629942__bsr-39-bsr...</td>\n",
       "      <td>../data/images/20210513/PMC6629942__bsr-39-bsr...</td>\n",
       "      <td>../data/images/20210513/PMC6629942__bsr-39-bsr...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.968381</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31f55f367a60d38f2f09582ba5a4e54d75793d98905b52...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PMC7520991__MBO3-9-e1098-g005.jpg</td>\n",
       "      <td>../data/images/20210513/PMC7520991__MBO3-9-e10...</td>\n",
       "      <td>../data/images/20210513/PMC7520991__MBO3-9-e10...</td>\n",
       "      <td>../data/images/20210513/PMC7520991__MBO3-9-e10...</td>\n",
       "      <td>True</td>\n",
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       "      <td>0.631791</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>124442</th>\n",
       "      <td>PMC5880682__nihms931867f3.jpg</td>\n",
       "      <td>../data/images/20210513/PMC5880682__nihms93186...</td>\n",
       "      <td>../data/images/20210513/PMC5880682__nihms93186...</td>\n",
       "      <td>../data/images/20210513/PMC5880682__nihms93186...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.999391</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5b5a3ec17542c5dc1758d56747aa73b9f14b078da157d4...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124443</th>\n",
       "      <td>PMC6526157__WJG-25-2188-g005.jpg</td>\n",
       "      <td>../data/images/20210513/PMC6526157__WJG-25-218...</td>\n",
       "      <td>../data/images/20210513/PMC6526157__WJG-25-218...</td>\n",
       "      <td>../data/images/20210513/PMC6526157__WJG-25-218...</td>\n",
       "      <td>True</td>\n",
       "      <td>pathway</td>\n",
       "      <td>0.644881</td>\n",
       "      <td>True</td>\n",
       "      <td>0cca3c2cff1f9edc584c034f821f6561aeae9a7ccfaebf...</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>124444</th>\n",
       "      <td>PMC8043451__nihpp-2020.08.06.240325-f0001.jpg</td>\n",
       "      <td>../data/images/20210513/PMC8043451__nihpp-2020...</td>\n",
       "      <td>../data/images/20210513/PMC8043451__nihpp-2020...</td>\n",
       "      <td>../data/images/20210513/PMC8043451__nihpp-2020...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.942510</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>True</td>\n",
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       "      <th>124445</th>\n",
       "      <td>PMC7859918__OR-45-03-0921-g00.jpg</td>\n",
       "      <td>../data/images/20210513/PMC7859918__OR-45-03-0...</td>\n",
       "      <td>../data/images/20210513/PMC7859918__OR-45-03-0...</td>\n",
       "      <td>../data/images/20210513/PMC7859918__OR-45-03-0...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.962785</td>\n",
       "      <td>NaN</td>\n",
       "      <td>a355628d0163d24236e877edc0a4c5c3419a509854ef00...</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>124446</th>\n",
       "      <td>PMC5705490__nihms887452f2.jpg</td>\n",
       "      <td>../data/images/20210513/PMC5705490__nihms88745...</td>\n",
       "      <td>../data/images/20210513/PMC5705490__nihms88745...</td>\n",
       "      <td>../data/images/20210513/PMC5705490__nihms88745...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.943441</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68c63b6d94ee7f8f6cd4779c233b9ca50b5d34fae397bd...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>124447 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             pfocr_id  \\\n",
       "0             PMC5814228__oncotarget-09-6499-g006.jpg   \n",
       "1          PMC6449403__41598_2019_42220_Fig7_HTML.jpg   \n",
       "2                 PMC6161541__fphar-09-01071-g006.jpg   \n",
       "3               PMC6629942__bsr-39-bsr20191210-g2.jpg   \n",
       "4                   PMC7520991__MBO3-9-e1098-g005.jpg   \n",
       "...                                               ...   \n",
       "124442                  PMC5880682__nihms931867f3.jpg   \n",
       "124443               PMC6526157__WJG-25-2188-g005.jpg   \n",
       "124444  PMC8043451__nihpp-2020.08.06.240325-f0001.jpg   \n",
       "124445              PMC7859918__OR-45-03-0921-g00.jpg   \n",
       "124446                  PMC5705490__nihms887452f2.jpg   \n",
       "\n",
       "                                              figure_path  \\\n",
       "0       ../data/images/20210513/PMC5814228__oncotarget...   \n",
       "1       ../data/images/20210513/PMC6449403__41598_2019...   \n",
       "2       ../data/images/20210513/PMC6161541__fphar-09-0...   \n",
       "3       ../data/images/20210513/PMC6629942__bsr-39-bsr...   \n",
       "4       ../data/images/20210513/PMC7520991__MBO3-9-e10...   \n",
       "...                                                   ...   \n",
       "124442  ../data/images/20210513/PMC5880682__nihms93186...   \n",
       "124443  ../data/images/20210513/PMC6526157__WJG-25-218...   \n",
       "124444  ../data/images/20210513/PMC8043451__nihpp-2020...   \n",
       "124445  ../data/images/20210513/PMC7859918__OR-45-03-0...   \n",
       "124446  ../data/images/20210513/PMC5705490__nihms88745...   \n",
       "\n",
       "                                          ocr_output_path  \\\n",
       "0       ../data/images/20210513/PMC5814228__oncotarget...   \n",
       "1       ../data/images/20210513/PMC6449403__41598_2019...   \n",
       "2       ../data/images/20210513/PMC6161541__fphar-09-0...   \n",
       "3       ../data/images/20210513/PMC6629942__bsr-39-bsr...   \n",
       "4       ../data/images/20210513/PMC7520991__MBO3-9-e10...   \n",
       "...                                                   ...   \n",
       "124442  ../data/images/20210513/PMC5880682__nihms93186...   \n",
       "124443  ../data/images/20210513/PMC6526157__WJG-25-218...   \n",
       "124444  ../data/images/20210513/PMC8043451__nihpp-2020...   \n",
       "124445  ../data/images/20210513/PMC7859918__OR-45-03-0...   \n",
       "124446  ../data/images/20210513/PMC5705490__nihms88745...   \n",
       "\n",
       "                                       automl_output_path automl_succeeded  \\\n",
       "0       ../data/images/20210513/PMC5814228__oncotarget...             True   \n",
       "1       ../data/images/20210513/PMC6449403__41598_2019...             True   \n",
       "2       ../data/images/20210513/PMC6161541__fphar-09-0...             True   \n",
       "3       ../data/images/20210513/PMC6629942__bsr-39-bsr...             True   \n",
       "4       ../data/images/20210513/PMC7520991__MBO3-9-e10...             True   \n",
       "...                                                   ...              ...   \n",
       "124442  ../data/images/20210513/PMC5880682__nihms93186...             True   \n",
       "124443  ../data/images/20210513/PMC6526157__WJG-25-218...             True   \n",
       "124444  ../data/images/20210513/PMC8043451__nihpp-2020...             True   \n",
       "124445  ../data/images/20210513/PMC7859918__OR-45-03-0...             True   \n",
       "124446  ../data/images/20210513/PMC5705490__nihms88745...             True   \n",
       "\n",
       "       classification  pathway_score ocr_succeeded  \\\n",
       "0             pathway       0.875032          True   \n",
       "1               other       0.939483           NaN   \n",
       "2               other       0.936534           NaN   \n",
       "3               other       0.968381           NaN   \n",
       "4               other       0.631791           NaN   \n",
       "...               ...            ...           ...   \n",
       "124442          other       0.999391           NaN   \n",
       "124443        pathway       0.644881          True   \n",
       "124444          other       0.942510           NaN   \n",
       "124445          other       0.962785           NaN   \n",
       "124446          other       0.943441           NaN   \n",
       "\n",
       "                                                     hash    new  \n",
       "0       1c9a7731d9d4a5b956d84bbc0070661cf7a0c66b8964db...  False  \n",
       "1       e4511fb4f5eacc744c9faf678bd49b0362069aafc98002...   True  \n",
       "2       b09c82c0a8fb6b3306c2a6d8599d54ca41c935e38e2c68...   True  \n",
       "3       31f55f367a60d38f2f09582ba5a4e54d75793d98905b52...  False  \n",
       "4       edcd25e5999e5542120e391db0c6c87c89308cc763789b...   True  \n",
       "...                                                   ...    ...  \n",
       "124442  5b5a3ec17542c5dc1758d56747aa73b9f14b078da157d4...   True  \n",
       "124443  0cca3c2cff1f9edc584c034f821f6561aeae9a7ccfaebf...  False  \n",
       "124444  37998a952826603432d96df08a6971a2cff8f2406dfc0e...   True  \n",
       "124445  a355628d0163d24236e877edc0a4c5c3419a509854ef00...   True  \n",
       "124446  68c63b6d94ee7f8f6cd4779c233b9ca50b5d34fae397bd...   True  \n",
       "\n",
       "[124447 rows x 10 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "on_disk_df = pd.DataFrame(figures2021_data)\n",
    "on_disk_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pmc_search_index</th>\n",
       "      <th>pfocr_id</th>\n",
       "      <th>pmc_id</th>\n",
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       "      <th>figure_title</th>\n",
       "      <th>paper_title</th>\n",
       "      <th>figure_caption</th>\n",
       "      <th>reference</th>\n",
       "      <th>paper_url</th>\n",
       "      <th>figure_page_url</th>\n",
       "      <th>...</th>\n",
       "      <th>pfocr_year</th>\n",
       "      <th>figure_path</th>\n",
       "      <th>ocr_output_path</th>\n",
       "      <th>automl_output_path</th>\n",
       "      <th>automl_succeeded</th>\n",
       "      <th>classification</th>\n",
       "      <th>pathway_score</th>\n",
       "      <th>ocr_succeeded</th>\n",
       "      <th>hash</th>\n",
       "      <th>new</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>PMC7970325__gr12.jpg</td>\n",
       "      <td>PMC7970325</td>\n",
       "      <td>Figure 12</td>\n",
       "      <td>Average PAL values for 36 differential DNA rep...</td>\n",
       "      <td>DNA repair pathway activation features in foll...</td>\n",
       "      <td>Average PAL values for 36 differential DNA rep...</td>\n",
       "      <td>Uliana Vladimirova, et al. Heliyon. 2021 Mar;7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>...</td>\n",
       "      <td>2021</td>\n",
       "      <td>../data/images/20210513/PMC7970325__gr12.jpg</td>\n",
       "      <td>../data/images/20210513/PMC7970325__gr12_ocr.json</td>\n",
       "      <td>../data/images/20210513/PMC7970325__gr12_autom...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.929271</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95341927cfd958f048c3e797dedd8355f81f5f729a0c39...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>PMC7847494__ijcep0014-0097-f3.jpg</td>\n",
       "      <td>PMC7847494</td>\n",
       "      <td>Figure 3</td>\n",
       "      <td>GSEA enrichment analysis of PDK2-4 in breast c...</td>\n",
       "      <td>Expression and clinical significance of PDK fa...</td>\n",
       "      <td>GSEA enrichment analysis of PDK2-4 in breast c...</td>\n",
       "      <td>Jian Xu, et al. Int J Clin Exp Pathol. 2021;14...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>...</td>\n",
       "      <td>2021</td>\n",
       "      <td>../data/images/20210513/PMC7847494__ijcep0014-...</td>\n",
       "      <td>../data/images/20210513/PMC7847494__ijcep0014-...</td>\n",
       "      <td>../data/images/20210513/PMC7847494__ijcep0014-...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.878512</td>\n",
       "      <td>NaN</td>\n",
       "      <td>416ffa69c28b493b52170c72421908e85a87c075eeb6fd...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>PMC6137129__fimmu-09-02055-g0006.jpg</td>\n",
       "      <td>PMC6137129</td>\n",
       "      <td>Figure 6</td>\n",
       "      <td>Overrepresented KEGG metabolic and signaling p...</td>\n",
       "      <td>Molecular and Cellular Response to Experimenta...</td>\n",
       "      <td>Overrepresented KEGG metabolic and signaling p...</td>\n",
       "      <td>Ivana Bušelić, et al. Front Immunol. 2018;9:2055.</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>...</td>\n",
       "      <td>2021</td>\n",
       "      <td>../data/images/20210513/PMC6137129__fimmu-09-0...</td>\n",
       "      <td>../data/images/20210513/PMC6137129__fimmu-09-0...</td>\n",
       "      <td>../data/images/20210513/PMC6137129__fimmu-09-0...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.890991</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ae2f5df8fb47342ff43b643f07c2234f61f138ba110a1e...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>PMC6721529__cells-08-00806-g003.jpg</td>\n",
       "      <td>PMC6721529</td>\n",
       "      <td>Figure 3</td>\n",
       "      <td>Canonical pathway analysis of proteins identif...</td>\n",
       "      <td>Impact of Heat Shock Protein 90 Inhibition on ...</td>\n",
       "      <td>Canonical pathway analysis of proteins identif...</td>\n",
       "      <td>Ángela Marrugal, et al. Cells. 2019 Aug;8(8):806.</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>...</td>\n",
       "      <td>2021</td>\n",
       "      <td>../data/images/20210513/PMC6721529__cells-08-0...</td>\n",
       "      <td>../data/images/20210513/PMC6721529__cells-08-0...</td>\n",
       "      <td>../data/images/20210513/PMC6721529__cells-08-0...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.967595</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f6a17e42e20fb384fff9e0288b3f26c4a16ef52004d666...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>PMC7970325__gr17.jpg</td>\n",
       "      <td>PMC7970325</td>\n",
       "      <td>Figure 17</td>\n",
       "      <td>PAL distribution for 38 DNA repair pathways in...</td>\n",
       "      <td>DNA repair pathway activation features in foll...</td>\n",
       "      <td>PAL distribution for 38 DNA repair pathways in...</td>\n",
       "      <td>Uliana Vladimirova, et al. Heliyon. 2021 Mar;7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>...</td>\n",
       "      <td>2021</td>\n",
       "      <td>../data/images/20210513/PMC7970325__gr17.jpg</td>\n",
       "      <td>../data/images/20210513/PMC7970325__gr17_ocr.json</td>\n",
       "      <td>../data/images/20210513/PMC7970325__gr17_autom...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.946393</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1c9fa4be76f84b7587bec4bb2808efde41742b23d214f8...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124459</th>\n",
       "      <td>124560</td>\n",
       "      <td>PMC7352181__cancers-12-01457-g002.jpg</td>\n",
       "      <td>PMC7352181</td>\n",
       "      <td>Figure 2</td>\n",
       "      <td>Angiotensin-associated pathways associated wit...</td>\n",
       "      <td>Renin-Angiotensin System in Lung Tumor and Mic...</td>\n",
       "      <td>Angiotensin-associated pathways associated wit...</td>\n",
       "      <td>Maria Joana Catarata, et al. Cancers (Basel). ...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>...</td>\n",
       "      <td>2021</td>\n",
       "      <td>../data/images/20210513/PMC7352181__cancers-12...</td>\n",
       "      <td>../data/images/20210513/PMC7352181__cancers-12...</td>\n",
       "      <td>../data/images/20210513/PMC7352181__cancers-12...</td>\n",
       "      <td>True</td>\n",
       "      <td>pathway</td>\n",
       "      <td>0.956203</td>\n",
       "      <td>True</td>\n",
       "      <td>99861893d87c584816f32b88750bf8cf62f3d30cb04b6d...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124460</th>\n",
       "      <td>124561</td>\n",
       "      <td>PMC6952829__bloodBLD2019001438f2.jpg</td>\n",
       "      <td>PMC6952829</td>\n",
       "      <td>Figure 2</td>\n",
       "      <td>Concurrent activation of NF-κB and Notch signa...</td>\n",
       "      <td>Coactivation of NF-κB and Notch signaling is s...</td>\n",
       "      <td>Concurrent activation of NF-κB and Notch signa...</td>\n",
       "      <td>Yan Xiu, et al. Blood. 2020 Jan 9;135(2):108-120.</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>...</td>\n",
       "      <td>2021</td>\n",
       "      <td>../data/images/20210513/PMC6952829__bloodBLD20...</td>\n",
       "      <td>../data/images/20210513/PMC6952829__bloodBLD20...</td>\n",
       "      <td>../data/images/20210513/PMC6952829__bloodBLD20...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.946639</td>\n",
       "      <td>NaN</td>\n",
       "      <td>df6e6691154a5e7fdda27068f3fdb792099f2664906c80...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124461</th>\n",
       "      <td>124562</td>\n",
       "      <td>PMC7777525__gr2.jpg</td>\n",
       "      <td>PMC7777525</td>\n",
       "      <td>Fig. 2</td>\n",
       "      <td>Schematic representation of type I to type VI ...</td>\n",
       "      <td>Secrete or perish: The role of secretion syste...</td>\n",
       "      <td>Schematic representation of type I to type VI ...</td>\n",
       "      <td>Cristina E. Alvarez-Martinez, et al. Comput St...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>...</td>\n",
       "      <td>2021</td>\n",
       "      <td>../data/images/20210513/PMC7777525__gr2.jpg</td>\n",
       "      <td>../data/images/20210513/PMC7777525__gr2_ocr.json</td>\n",
       "      <td>../data/images/20210513/PMC7777525__gr2_automl...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.678066</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4f308896c8b7d7a2162cba8046520a680127400a67dc70...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124462</th>\n",
       "      <td>124563</td>\n",
       "      <td>PMC6092289__TJP-596-3469-g003.jpg</td>\n",
       "      <td>PMC6092289</td>\n",
       "      <td>Figure 2</td>\n",
       "      <td></td>\n",
       "      <td>The negotiated equilibrium model of spinal cor...</td>\n",
       "      <td>A, left: soleus EMG is monitored 24 h per day ...</td>\n",
       "      <td>Jonathan R. Wolpaw. J Physiol. 2018 Aug 15;596...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>...</td>\n",
       "      <td>2021</td>\n",
       "      <td>../data/images/20210513/PMC6092289__TJP-596-34...</td>\n",
       "      <td>../data/images/20210513/PMC6092289__TJP-596-34...</td>\n",
       "      <td>../data/images/20210513/PMC6092289__TJP-596-34...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.958182</td>\n",
       "      <td>NaN</td>\n",
       "      <td>953b7a7fee722c4f699e54ba60011df738fcce4b4b4d0e...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124463</th>\n",
       "      <td>124564</td>\n",
       "      <td>PMC6804866__41423_2019_269_Fig1_HTML.jpg</td>\n",
       "      <td>PMC6804866</td>\n",
       "      <td>Fig. 1</td>\n",
       "      <td>The mitochondrial pool of β-actin is required ...</td>\n",
       "      <td>Mitochondria-localized β-actin is essential fo...</td>\n",
       "      <td>The mitochondrial pool of β-actin is required ...</td>\n",
       "      <td>Xin Xie, et al. Cell Mol Immunol. 2019 Oct;16(...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>...</td>\n",
       "      <td>2021</td>\n",
       "      <td>../data/images/20210513/PMC6804866__41423_2019...</td>\n",
       "      <td>../data/images/20210513/PMC6804866__41423_2019...</td>\n",
       "      <td>../data/images/20210513/PMC6804866__41423_2019...</td>\n",
       "      <td>True</td>\n",
       "      <td>other</td>\n",
       "      <td>0.953625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0855c29875725fb659e9cf3dce4011c00b01f57ad9c1a4...</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>124464 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       pmc_search_index                                  pfocr_id      pmc_id  \\\n",
       "0                     1                      PMC7970325__gr12.jpg  PMC7970325   \n",
       "1                     2         PMC7847494__ijcep0014-0097-f3.jpg  PMC7847494   \n",
       "2                     3      PMC6137129__fimmu-09-02055-g0006.jpg  PMC6137129   \n",
       "3                     4       PMC6721529__cells-08-00806-g003.jpg  PMC6721529   \n",
       "4                     5                      PMC7970325__gr17.jpg  PMC7970325   \n",
       "...                 ...                                       ...         ...   \n",
       "124459           124560     PMC7352181__cancers-12-01457-g002.jpg  PMC7352181   \n",
       "124460           124561      PMC6952829__bloodBLD2019001438f2.jpg  PMC6952829   \n",
       "124461           124562                       PMC7777525__gr2.jpg  PMC7777525   \n",
       "124462           124563         PMC6092289__TJP-596-3469-g003.jpg  PMC6092289   \n",
       "124463           124564  PMC6804866__41423_2019_269_Fig1_HTML.jpg  PMC6804866   \n",
       "\n",
       "       figure_number                                       figure_title  \\\n",
       "0          Figure 12  Average PAL values for 36 differential DNA rep...   \n",
       "1           Figure 3  GSEA enrichment analysis of PDK2-4 in breast c...   \n",
       "2           Figure 6  Overrepresented KEGG metabolic and signaling p...   \n",
       "3           Figure 3  Canonical pathway analysis of proteins identif...   \n",
       "4          Figure 17  PAL distribution for 38 DNA repair pathways in...   \n",
       "...              ...                                                ...   \n",
       "124459      Figure 2  Angiotensin-associated pathways associated wit...   \n",
       "124460      Figure 2  Concurrent activation of NF-κB and Notch signa...   \n",
       "124461        Fig. 2  Schematic representation of type I to type VI ...   \n",
       "124462      Figure 2                                                      \n",
       "124463        Fig. 1  The mitochondrial pool of β-actin is required ...   \n",
       "\n",
       "                                              paper_title  \\\n",
       "0       DNA repair pathway activation features in foll...   \n",
       "1       Expression and clinical significance of PDK fa...   \n",
       "2       Molecular and Cellular Response to Experimenta...   \n",
       "3       Impact of Heat Shock Protein 90 Inhibition on ...   \n",
       "4       DNA repair pathway activation features in foll...   \n",
       "...                                                   ...   \n",
       "124459  Renin-Angiotensin System in Lung Tumor and Mic...   \n",
       "124460  Coactivation of NF-κB and Notch signaling is s...   \n",
       "124461  Secrete or perish: The role of secretion syste...   \n",
       "124462  The negotiated equilibrium model of spinal cor...   \n",
       "124463  Mitochondria-localized β-actin is essential fo...   \n",
       "\n",
       "                                           figure_caption  \\\n",
       "0       Average PAL values for 36 differential DNA rep...   \n",
       "1       GSEA enrichment analysis of PDK2-4 in breast c...   \n",
       "2       Overrepresented KEGG metabolic and signaling p...   \n",
       "3       Canonical pathway analysis of proteins identif...   \n",
       "4       PAL distribution for 38 DNA repair pathways in...   \n",
       "...                                                   ...   \n",
       "124459  Angiotensin-associated pathways associated wit...   \n",
       "124460  Concurrent activation of NF-κB and Notch signa...   \n",
       "124461  Schematic representation of type I to type VI ...   \n",
       "124462  A, left: soleus EMG is monitored 24 h per day ...   \n",
       "124463  The mitochondrial pool of β-actin is required ...   \n",
       "\n",
       "                                                reference  \\\n",
       "0       Uliana Vladimirova, et al. Heliyon. 2021 Mar;7...   \n",
       "1       Jian Xu, et al. Int J Clin Exp Pathol. 2021;14...   \n",
       "2       Ivana Bušelić, et al. Front Immunol. 2018;9:2055.   \n",
       "3       Ángela Marrugal, et al. Cells. 2019 Aug;8(8):806.   \n",
       "4       Uliana Vladimirova, et al. Heliyon. 2021 Mar;7...   \n",
       "...                                                   ...   \n",
       "124459  Maria Joana Catarata, et al. Cancers (Basel). ...   \n",
       "124460  Yan Xiu, et al. Blood. 2020 Jan 9;135(2):108-120.   \n",
       "124461  Cristina E. Alvarez-Martinez, et al. Comput St...   \n",
       "124462  Jonathan R. Wolpaw. J Physiol. 2018 Aug 15;596...   \n",
       "124463  Xin Xie, et al. Cell Mol Immunol. 2019 Oct;16(...   \n",
       "\n",
       "                                                paper_url  \\\n",
       "0       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "1       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "2       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "3       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "4       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "...                                                   ...   \n",
       "124459  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "124460  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "124461  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "124462  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "124463  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "\n",
       "                                          figure_page_url  ... pfocr_year  \\\n",
       "0       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...  ...       2021   \n",
       "1       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...  ...       2021   \n",
       "2       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...  ...       2021   \n",
       "3       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...  ...       2021   \n",
       "4       https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...  ...       2021   \n",
       "...                                                   ...  ...        ...   \n",
       "124459  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...  ...       2021   \n",
       "124460  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...  ...       2021   \n",
       "124461  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...  ...       2021   \n",
       "124462  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...  ...       2021   \n",
       "124463  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...  ...       2021   \n",
       "\n",
       "                                              figure_path  \\\n",
       "0            ../data/images/20210513/PMC7970325__gr12.jpg   \n",
       "1       ../data/images/20210513/PMC7847494__ijcep0014-...   \n",
       "2       ../data/images/20210513/PMC6137129__fimmu-09-0...   \n",
       "3       ../data/images/20210513/PMC6721529__cells-08-0...   \n",
       "4            ../data/images/20210513/PMC7970325__gr17.jpg   \n",
       "...                                                   ...   \n",
       "124459  ../data/images/20210513/PMC7352181__cancers-12...   \n",
       "124460  ../data/images/20210513/PMC6952829__bloodBLD20...   \n",
       "124461        ../data/images/20210513/PMC7777525__gr2.jpg   \n",
       "124462  ../data/images/20210513/PMC6092289__TJP-596-34...   \n",
       "124463  ../data/images/20210513/PMC6804866__41423_2019...   \n",
       "\n",
       "                                          ocr_output_path  \\\n",
       "0       ../data/images/20210513/PMC7970325__gr12_ocr.json   \n",
       "1       ../data/images/20210513/PMC7847494__ijcep0014-...   \n",
       "2       ../data/images/20210513/PMC6137129__fimmu-09-0...   \n",
       "3       ../data/images/20210513/PMC6721529__cells-08-0...   \n",
       "4       ../data/images/20210513/PMC7970325__gr17_ocr.json   \n",
       "...                                                   ...   \n",
       "124459  ../data/images/20210513/PMC7352181__cancers-12...   \n",
       "124460  ../data/images/20210513/PMC6952829__bloodBLD20...   \n",
       "124461   ../data/images/20210513/PMC7777525__gr2_ocr.json   \n",
       "124462  ../data/images/20210513/PMC6092289__TJP-596-34...   \n",
       "124463  ../data/images/20210513/PMC6804866__41423_2019...   \n",
       "\n",
       "                                       automl_output_path automl_succeeded  \\\n",
       "0       ../data/images/20210513/PMC7970325__gr12_autom...             True   \n",
       "1       ../data/images/20210513/PMC7847494__ijcep0014-...             True   \n",
       "2       ../data/images/20210513/PMC6137129__fimmu-09-0...             True   \n",
       "3       ../data/images/20210513/PMC6721529__cells-08-0...             True   \n",
       "4       ../data/images/20210513/PMC7970325__gr17_autom...             True   \n",
       "...                                                   ...              ...   \n",
       "124459  ../data/images/20210513/PMC7352181__cancers-12...             True   \n",
       "124460  ../data/images/20210513/PMC6952829__bloodBLD20...             True   \n",
       "124461  ../data/images/20210513/PMC7777525__gr2_automl...             True   \n",
       "124462  ../data/images/20210513/PMC6092289__TJP-596-34...             True   \n",
       "124463  ../data/images/20210513/PMC6804866__41423_2019...             True   \n",
       "\n",
       "       classification pathway_score  ocr_succeeded  \\\n",
       "0               other      0.929271            NaN   \n",
       "1               other      0.878512            NaN   \n",
       "2               other      0.890991            NaN   \n",
       "3               other      0.967595            NaN   \n",
       "4               other      0.946393            NaN   \n",
       "...               ...           ...            ...   \n",
       "124459        pathway      0.956203           True   \n",
       "124460          other      0.946639            NaN   \n",
       "124461          other      0.678066            NaN   \n",
       "124462          other      0.958182            NaN   \n",
       "124463          other      0.953625            NaN   \n",
       "\n",
       "                                                     hash    new  \n",
       "0       95341927cfd958f048c3e797dedd8355f81f5f729a0c39...   True  \n",
       "1       416ffa69c28b493b52170c72421908e85a87c075eeb6fd...   True  \n",
       "2       ae2f5df8fb47342ff43b643f07c2234f61f138ba110a1e...  False  \n",
       "3       f6a17e42e20fb384fff9e0288b3f26c4a16ef52004d666...  False  \n",
       "4       1c9fa4be76f84b7587bec4bb2808efde41742b23d214f8...   True  \n",
       "...                                                   ...    ...  \n",
       "124459  99861893d87c584816f32b88750bf8cf62f3d30cb04b6d...   True  \n",
       "124460  df6e6691154a5e7fdda27068f3fdb792099f2664906c80...   True  \n",
       "124461  4f308896c8b7d7a2162cba8046520a680127400a67dc70...   True  \n",
       "124462  953b7a7fee722c4f699e54ba60011df738fcce4b4b4d0e...   True  \n",
       "124463  0855c29875725fb659e9cf3dce4011c00b01f57ad9c1a4...   True  \n",
       "\n",
       "[124464 rows x 21 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_pfocr_figures_df = pmc_image_search_df.join(\n",
    "    on_disk_df.set_index(\"pfocr_id\"),\n",
    "    on=\"pfocr_id\",\n",
    "    how=\"outer\",\n",
    ").rename(columns={\"classification_score\": \"pathway_score\"})\n",
    "raw_pfocr_figures_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['pmc_search_index', 'pfocr_id', 'pmc_id', 'figure_number',\n",
       "       'figure_title', 'paper_title', 'figure_caption', 'reference',\n",
       "       'paper_url', 'figure_page_url', 'figure_thumbnail_url', 'pfocr_year',\n",
       "       'figure_path', 'ocr_output_path', 'automl_output_path',\n",
       "       'automl_succeeded', 'classification', 'pathway_score', 'ocr_succeeded',\n",
       "       'hash', 'new'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_pfocr_figures_df.columns"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "'pfocr_id', 'figure_number', 'reference', 'publication_year',\n",
    "       'pathway_score', 'pmc_search_index', 'figure_title',\n",
    "       'paper_title', 'figure_caption', 'pmc_id', 'figure_filename',\n",
    "       'source_f', 'type.man', 'automl_index', 'paper_url', 'figure_page_url',\n",
    "       'figure_thumbnail_url', 'pfocr_year', 'ocr_text', 'lexicon_match',\n",
    "       'lexicon_match_source', 'hgnc_symbol', 'ncbigene_id',\n",
    "       'unique_gene_count'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pfocr_id</th>\n",
       "      <th>figure_page_url</th>\n",
       "      <th>figure_thumbnail_url</th>\n",
       "      <th>figure_number</th>\n",
       "      <th>figure_title</th>\n",
       "      <th>figure_caption</th>\n",
       "      <th>pmc_id</th>\n",
       "      <th>paper_url</th>\n",
       "      <th>paper_title</th>\n",
       "      <th>reference</th>\n",
       "      <th>pmc_search_index</th>\n",
       "      <th>pathway_score</th>\n",
       "      <th>pfocr_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>PMC7226520__cells-09-01043-g007.jpg</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>Figure 7</td>\n",
       "      <td>Comparative downstream pathway analysis of the...</td>\n",
       "      <td>Comparative downstream pathway analysis of the...</td>\n",
       "      <td>PMC7226520</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>A STAT3 of Addiction: Adipose Tissue, Adipocyt...</td>\n",
       "      <td>Rose Kadye, et al. Cells. 2020 Apr;9(4):1043.</td>\n",
       "      <td>12</td>\n",
       "      <td>0.811027</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>PMC7346062__aging-12-103262-g005.jpg</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>Figure 5</td>\n",
       "      <td>KEGG pathways related to resveratrol-targeted ...</td>\n",
       "      <td>KEGG pathways related to resveratrol-targeted ...</td>\n",
       "      <td>PMC7346062</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>Resveratrol promotes osteogenesis and alleviat...</td>\n",
       "      <td>Tao Yu, et al. Aging (Albany NY). 2020 Jun 15;...</td>\n",
       "      <td>17</td>\n",
       "      <td>0.943144</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>PMC7063815__13578_2020_396_Fig2_HTML.jpg</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>Fig. 2</td>\n",
       "      <td>Interaction between tumor metabolism and the m...</td>\n",
       "      <td>Interaction between tumor metabolism and the m...</td>\n",
       "      <td>PMC7063815</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>mTOR signaling pathway and mTOR inhibitors in ...</td>\n",
       "      <td>Zhilin Zou, et al. Cell Biosci. 2020;10:31.</td>\n",
       "      <td>22</td>\n",
       "      <td>0.943767</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>PMC6497965__zbc0191904900006.jpg</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>Figure 6</td>\n",
       "      <td>A proposed signaling cascade for phosphorylate...</td>\n",
       "      <td>A proposed signaling cascade for phosphorylate...</td>\n",
       "      <td>PMC6497965</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...</td>\n",
       "      <td>Phosphorylation of proliferating cell nuclear ...</td>\n",
       "      <td>Bo Peng, et al. J Biol Chem. 2019 Apr 26;294(1...</td>\n",
       "      <td>23</td>\n",
       "      <td>0.603429</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>PMC7538683__bsr-40-bsr20202711-g5.jpg</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>Figure 5</td>\n",
       "      <td></td>\n",
       "      <td>(A) Cell cycle signaling pathway is significan...</td>\n",
       "      <td>PMC7538683</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>Bioinformatics analysis and experimental valid...</td>\n",
       "      <td>Jiajia Chen, et al. Biosci Rep. 2020 Oct 30;40...</td>\n",
       "      <td>24</td>\n",
       "      <td>0.863582</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124414</th>\n",
       "      <td>PMC7803631__gr3a.jpg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td></td>\n",
       "      <td>Fig</td>\n",
       "      <td>Cell free biosynthesis for erythromycin A. The...</td>\n",
       "      <td>PMC7803631</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>Complex natural product production methods and...</td>\n",
       "      <td>Dongwon Park, et al. Synth Syst Biotechnol. 20...</td>\n",
       "      <td>124515</td>\n",
       "      <td>0.648432</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124421</th>\n",
       "      <td>PMC7359798__gr2_lrg.jpg</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>Figure 2</td>\n",
       "      <td>RNA Sensing and ResponseNon-comprehensive over...</td>\n",
       "      <td>RNA Sensing and ResponseNon-comprehensive over...</td>\n",
       "      <td>PMC7359798</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>Immune Sensing Mechanisms that Discriminate Se...</td>\n",
       "      <td>Eva Bartok, et al. Immunity. 2020 Jul 14;53(1)...</td>\n",
       "      <td>124522</td>\n",
       "      <td>0.922250</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124439</th>\n",
       "      <td>PMC7530268__fonc-10-586530-g0001.jpg</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>Figure 1</td>\n",
       "      <td>The ferroptotic cascade</td>\n",
       "      <td>The ferroptotic cascade. Accumulation of free ...</td>\n",
       "      <td>PMC7530268</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>From Iron Chelation to Overload as a Therapeut...</td>\n",
       "      <td>Eric Grignano, et al. Front Oncol. 2020;10:586...</td>\n",
       "      <td>124540</td>\n",
       "      <td>0.952995</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124445</th>\n",
       "      <td>PMC7466447__fcell-08-00766-g001.jpg</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>FIGURE 1</td>\n",
       "      <td>Immunoregulatory functions of TEC in the TME</td>\n",
       "      <td>Immunoregulatory functions of TEC in the TME. ...</td>\n",
       "      <td>PMC7466447</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>Tumor Endothelial Cells (TECs) as Potential Im...</td>\n",
       "      <td>Laurenz Nagl, et al. Front Cell Dev Biol. 2020...</td>\n",
       "      <td>124546</td>\n",
       "      <td>0.933006</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124459</th>\n",
       "      <td>PMC7352181__cancers-12-01457-g002.jpg</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>Figure 2</td>\n",
       "      <td>Angiotensin-associated pathways associated wit...</td>\n",
       "      <td>Angiotensin-associated pathways associated wit...</td>\n",
       "      <td>PMC7352181</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...</td>\n",
       "      <td>Renin-Angiotensin System in Lung Tumor and Mic...</td>\n",
       "      <td>Maria Joana Catarata, et al. Cancers (Basel). ...</td>\n",
       "      <td>124560</td>\n",
       "      <td>0.956203</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15914 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        pfocr_id  \\\n",
       "11           PMC7226520__cells-09-01043-g007.jpg   \n",
       "16          PMC7346062__aging-12-103262-g005.jpg   \n",
       "21      PMC7063815__13578_2020_396_Fig2_HTML.jpg   \n",
       "22              PMC6497965__zbc0191904900006.jpg   \n",
       "23         PMC7538683__bsr-40-bsr20202711-g5.jpg   \n",
       "...                                          ...   \n",
       "124414                      PMC7803631__gr3a.jpg   \n",
       "124421                   PMC7359798__gr2_lrg.jpg   \n",
       "124439      PMC7530268__fonc-10-586530-g0001.jpg   \n",
       "124445       PMC7466447__fcell-08-00766-g001.jpg   \n",
       "124459     PMC7352181__cancers-12-01457-g002.jpg   \n",
       "\n",
       "                                          figure_page_url  \\\n",
       "11      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "16      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "21      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "22      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "23      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "...                                                   ...   \n",
       "124414                                                NaN   \n",
       "124421  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "124439  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "124445  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "124459  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "\n",
       "                                     figure_thumbnail_url figure_number  \\\n",
       "11      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...      Figure 7   \n",
       "16      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...      Figure 5   \n",
       "21      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...        Fig. 2   \n",
       "22      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...      Figure 6   \n",
       "23      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...      Figure 5   \n",
       "...                                                   ...           ...   \n",
       "124414  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...                 \n",
       "124421  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...      Figure 2   \n",
       "124439  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...      Figure 1   \n",
       "124445  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...      FIGURE 1   \n",
       "124459  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...      Figure 2   \n",
       "\n",
       "                                             figure_title  \\\n",
       "11      Comparative downstream pathway analysis of the...   \n",
       "16      KEGG pathways related to resveratrol-targeted ...   \n",
       "21      Interaction between tumor metabolism and the m...   \n",
       "22      A proposed signaling cascade for phosphorylate...   \n",
       "23                                                          \n",
       "...                                                   ...   \n",
       "124414                                                Fig   \n",
       "124421  RNA Sensing and ResponseNon-comprehensive over...   \n",
       "124439                            The ferroptotic cascade   \n",
       "124445       Immunoregulatory functions of TEC in the TME   \n",
       "124459  Angiotensin-associated pathways associated wit...   \n",
       "\n",
       "                                           figure_caption      pmc_id  \\\n",
       "11      Comparative downstream pathway analysis of the...  PMC7226520   \n",
       "16      KEGG pathways related to resveratrol-targeted ...  PMC7346062   \n",
       "21      Interaction between tumor metabolism and the m...  PMC7063815   \n",
       "22      A proposed signaling cascade for phosphorylate...  PMC6497965   \n",
       "23      (A) Cell cycle signaling pathway is significan...  PMC7538683   \n",
       "...                                                   ...         ...   \n",
       "124414  Cell free biosynthesis for erythromycin A. The...  PMC7803631   \n",
       "124421  RNA Sensing and ResponseNon-comprehensive over...  PMC7359798   \n",
       "124439  The ferroptotic cascade. Accumulation of free ...  PMC7530268   \n",
       "124445  Immunoregulatory functions of TEC in the TME. ...  PMC7466447   \n",
       "124459  Angiotensin-associated pathways associated wit...  PMC7352181   \n",
       "\n",
       "                                                paper_url  \\\n",
       "11      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "16      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "21      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "22      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6...   \n",
       "23      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "...                                                   ...   \n",
       "124414  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "124421  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "124439  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "124445  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "124459  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7...   \n",
       "\n",
       "                                              paper_title  \\\n",
       "11      A STAT3 of Addiction: Adipose Tissue, Adipocyt...   \n",
       "16      Resveratrol promotes osteogenesis and alleviat...   \n",
       "21      mTOR signaling pathway and mTOR inhibitors in ...   \n",
       "22      Phosphorylation of proliferating cell nuclear ...   \n",
       "23      Bioinformatics analysis and experimental valid...   \n",
       "...                                                   ...   \n",
       "124414  Complex natural product production methods and...   \n",
       "124421  Immune Sensing Mechanisms that Discriminate Se...   \n",
       "124439  From Iron Chelation to Overload as a Therapeut...   \n",
       "124445  Tumor Endothelial Cells (TECs) as Potential Im...   \n",
       "124459  Renin-Angiotensin System in Lung Tumor and Mic...   \n",
       "\n",
       "                                                reference pmc_search_index  \\\n",
       "11          Rose Kadye, et al. Cells. 2020 Apr;9(4):1043.               12   \n",
       "16      Tao Yu, et al. Aging (Albany NY). 2020 Jun 15;...               17   \n",
       "21            Zhilin Zou, et al. Cell Biosci. 2020;10:31.               22   \n",
       "22      Bo Peng, et al. J Biol Chem. 2019 Apr 26;294(1...               23   \n",
       "23      Jiajia Chen, et al. Biosci Rep. 2020 Oct 30;40...               24   \n",
       "...                                                   ...              ...   \n",
       "124414  Dongwon Park, et al. Synth Syst Biotechnol. 20...           124515   \n",
       "124421  Eva Bartok, et al. Immunity. 2020 Jul 14;53(1)...           124522   \n",
       "124439  Eric Grignano, et al. Front Oncol. 2020;10:586...           124540   \n",
       "124445  Laurenz Nagl, et al. Front Cell Dev Biol. 2020...           124546   \n",
       "124459  Maria Joana Catarata, et al. Cancers (Basel). ...           124560   \n",
       "\n",
       "        pathway_score  pfocr_year  \n",
       "11           0.811027        2021  \n",
       "16           0.943144        2021  \n",
       "21           0.943767        2021  \n",
       "22           0.603429        2021  \n",
       "23           0.863582        2021  \n",
       "...               ...         ...  \n",
       "124414       0.648432        2021  \n",
       "124421       0.922250        2021  \n",
       "124439       0.952995        2021  \n",
       "124445       0.933006        2021  \n",
       "124459       0.956203        2021  \n",
       "\n",
       "[15914 rows x 13 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exported_pfocr_figures_df = raw_pfocr_figures_df[\n",
    "    raw_pfocr_figures_df[\"ocr_succeeded\"] & raw_pfocr_figures_df[\"new\"]\n",
    "][\n",
    "    [\n",
    "        \"pfocr_id\",\n",
    "        \"figure_page_url\",\n",
    "        \"figure_thumbnail_url\",\n",
    "        \"figure_number\",\n",
    "        \"figure_title\",\n",
    "        \"figure_caption\",\n",
    "        \"pmc_id\",\n",
    "        \"paper_url\",\n",
    "        \"paper_title\",\n",
    "        \"reference\",\n",
    "        # we add publication_year in merge_2020_2021.ipynb\n",
    "        # \"publication_year\",\n",
    "        \"pmc_search_index\",\n",
    "        \"pathway_score\",\n",
    "        \"pfocr_year\",\n",
    "    ]\n",
    "]\n",
    "\n",
    "pandas2rds(\n",
    "    exported_pfocr_figures_df, images_dir.joinpath(\"pfocr_figures_2021.rds\")\n",
    ")\n",
    "\n",
    "exported_pfocr_figures_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "114117"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(unique_figures_2020_db_pfocr_ids)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"PMC6936734__nihms-1063332-f0001.jpg\" in unique_figures_2020_db_pfocr_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pfocr_id</th>\n",
       "      <th>figure_page_url</th>\n",
       "      <th>figure_thumbnail_url</th>\n",
       "      <th>figure_number</th>\n",
       "      <th>figure_title</th>\n",
       "      <th>figure_caption</th>\n",
       "      <th>pmc_id</th>\n",
       "      <th>paper_url</th>\n",
       "      <th>paper_title</th>\n",
       "      <th>reference</th>\n",
       "      <th>pmc_search_index</th>\n",
       "      <th>pathway_score</th>\n",
       "      <th>pfocr_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [pfocr_id, figure_page_url, figure_thumbnail_url, figure_number, figure_title, figure_caption, pmc_id, paper_url, paper_title, reference, pmc_search_index, pathway_score, pfocr_year]\n",
       "Index: []"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exported_pfocr_figures_df[\n",
    "    exported_pfocr_figures_df[\"pfocr_id\"].isin(unique_figures_2020_db_pfocr_ids)\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### Compare the 2021 RDS with what's on file\n",
    "\n",
    "- `124464` figures from PMC search (no duplicate pfocr_ids)\n",
    "- `124447` downloaded (some 404'd) (no duplicate pfocr_ids)\n",
    "- `124441` AutoML'd (some reject as invalid JPGs)\n",
    "- `28701` classified as pathway and OCR'd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "124447\n",
      "124447\n",
      "124441\n",
      "28700\n"
     ]
    }
   ],
   "source": [
    "print(len([f for f in images_dir.rglob(\"*.jpg\")]))\n",
    "print(len(set([f for f in images_dir.rglob(\"*.jpg\")])))\n",
    "print(len([f for f in images_dir.rglob(\"*_automl.json\")]))\n",
    "print(len([f for f in images_dir.rglob(\"*_ocr.json\")]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "124464\n",
      "124464\n",
      "124447\n",
      "124447\n"
     ]
    }
   ],
   "source": [
    "rds_pfocr_ids = pmc_image_search_df[\"pfocr_id\"].to_list()\n",
    "print(len(rds_pfocr_ids))\n",
    "unique_rds_pfocr_ids = set(pmc_image_search_df[\"pfocr_id\"].to_list())\n",
    "print(len(unique_rds_pfocr_ids))\n",
    "\n",
    "pfocr_ids = [x.name for x in figure_paths]\n",
    "print(len(pfocr_ids))\n",
    "unique_pfocr_ids = set(pfocr_ids)\n",
    "print(len(unique_pfocr_ids))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Invalid Images\n",
    "\n",
    "Some of the JPGs either didn't fully download or didn't download at all."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../data/images/20210513/PMC7404177__ijms-21-05147-g002.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../data/images/20210513/PMC8009799__467_2020_4588_Fig2_HTML.jpg\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../data/images/20210513/PMC7753985__JCMM-24-13949-g002.jpg\n"
     ]
    },
    {
     "data": {
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eNsxt2pJKf//W9VTSPFM9jLGOY9ocxwLXNIkEHQtIWZUPq0L6zSMQXgtZWWhm4GZYxp/Nfvd9FJTnM+tmD6znPBNJnaxtID/7b3XOY73fyFFv1qoAcHbSYOyKCId+bv8A07v7S4i3q3QKsw49waMtr2gtIcXbz/N+8Unxb+cnb1b6vjO+zM2DNNhr2gO3eoTsc3f6P/T3JJe2Z9Z2WWVVsfXve8M1xzHu2srj9Z9vv+n/AMGumaxreAAfIQvI+k5/1WPVsSrDrpZlm9jGBjCx4dvAeJ9Fi9eSQpJCufcwA1Viz94F22BInt+7uUX5L24Rya6X3P8AT3toYW73GN3ptdY6urd/WsSUnSVc5Noe1v2awhzQ4ulkAn6THfpPpsUsfIdcTuospgAzYGiZ8Nj3pKTJJIGTl143p+pP6Z4rrgtEvP0a/e5vuckpOkmcXBpLRLgNATEn4oVF77H2MfX6bqz4h0gl2w6fyBuSUmSVY5GVOQBiu/ROaKTvZFoIa5z2e79H6bnbP02z6CdmRkOsDHYr2tPNhdXA0/k2b/8AopKbCSSFk3sx6H2vcGho0JBdJJ2sY1jffY97zsrrZ77HpKSpKt6uR9j9fb+k27/T2HdEbvT9Lf8Az35v859NJJT/AP/X9I+2Z+n6g/UOJ/SV6R9EfT+lZ+Z/007MnMLw04L2tmC4vr08Xw1/0P8Ap/yFbc5rGlziGtaJc46AAdygtzsJz21tyKi9/wBFoe0k9va2f5KSnmWdEwfQDzTYHlm4s9HL0dG70/5z95KzouE3GdY2ix1grLhX6OZq8NltX85+c5NV9cag+5xryHm46MdZVFcDbtpDWtd/256iG362AB7A/Lc5wABL8YubBncwej9J30P0jX/56SUzuj4lTjZTj2PdV+kqJqyoc9pa+uvZ6m5u9/48IURPQ1RZUEUgaHRtbCBQVUJMSUMgIi0vL1czQy8vRFREIFhIVE1MIDEuMS8vRU4iICJodHRwOi8vd3d3LnczLm9yZy9UUi94aHRtbDExL0RURC94aHRtbDExLmR0ZCI+IAo8aHRtbD4KPGhlYWQ+Cjx0aXRsZT5OQ0JJL2lwbWMxMSAtIFdXVyBFcnJvciA1MDAgRGlhZ25vc3RpYzwvdGl0bGU+CjxzdHlsZSB0eXBlPSJ0ZXh0L2NzcyI+IApoMS5lcnJvciB7Y29sb3I6IHJlZDsgZm9udC1zaXplOiA0MHB0fQpkaXYuZGlhZ3Mge3RleHQtaW5kZW50OiAwLjVpbiB9Cjwvc3R5bGU+IAo8L2hlYWQ+Cjxib2R5Pgo8aDE+U2VydmVyIEVycm9yPC9oMT4KCgo8cD5Zb3VyIHJlcXVlc3QgY291bGQgbm90IGJlIHByb2Nlc3NlZCBkdWUgdG8gYSBwcm9ibGVtIG9uCm91ciBXZWIgc2VydmVyLiAgVGhpcyBjb3VsZCBiZSBhIHRyYW5zaWVudCBwcm9ibGVtLCBwbGVhc2UKdHJ5IHRoZSBxdWVyeSBhZ2Fpbi4gIElmIGl0IGRvZXNuJ3QgY2xlYXIgdXAgd2l0aGluIGEKcmVhc29uYWJsZSBwZXJpb2Qgb2YgdGltZSwgZS1tYWlsIGEgc2hvcnQgZGVzY3JpcHRpb24gb2YgeW91cgpxdWVyeSBhbmQgdGhlIGRpYWdub3N0aWMgaW5mb3JtYXRpb24gc2hvd24gYmVsb3cgdG86PC9wPgoKPHA+CnB1Ym1lZEBubG0ubmloLmdvdiAtIGZvciBwcm9ibGVtcyB3aXRoIFB1Yk1lZDxici8+CndlYmFkbWluQG5jYmkubmxtLm5paC5nb3YgLSBmb3IgcHJvYmxlbXMgd2l0aCBvdGhlciBzZXJ2aWNlczxici8+CjwvcD4KCjxwPlRoYW5rIHlvdSBmb3IgeW91ciBhc3Npc3RhbmNlLiAgV2Ugd2lsbCB0cnkgdG8gZml4IHRoZQpwcm9ibGVtIGFzIHNvb24gYXMgcG9zc2libGUuCjwvcD4KPGhyLz4KPHA+CkRpYWdub3N0aWMgSW5mb3JtYXRpb246PC9wPgoKPGRpdiBjbGFzcz0iZGlhZ3MiPkVycm9yOiA1MDA8L2Rpdj4KCjxkaXYgY2xhc3M9ImRpYWdzIj5VUkw6ICBoIHQgdCBwIDogLyAvIHcgdyB3IC4gbiBjIGIgaSAuIG4gbCBtIC4gbiBpIGggLiBnIG8gdiAvIHAgdCBwIG0gYyAvIHAgdCBwIGkgYyByIGUgbiBkIGUgciAuIGYgYyBnIGkgPyBiIGkgbiBwIGEgdCBoID0gLyBhIHIgdCBpIGMgbCBlIHMgLyBQIE0gQyA3IDcgNSAzIDkgOCA1IC8gYiBpIG4gLyBKIEMgTSBNIC0gMiA0IC0gMSAzIDkgNCA5IC0gZyAwIDAgMiAuIGogcCBnIDwvZGl2PgoKPGRpdiBjbGFzcz0iZGlhZ3MiPkNsaWVudDogMTMwLjE0LjIyLjkwPC9kaXY+Cgo8ZGl2IGNsYXNzPSJkaWFncyI+U2VydmVyOiBpcG1jMTE8L2Rpdj4KCjxkaXYgY2xhc3M9ImRpYWdzIj5UaW1lOiBUaHUgTWF5IDEzIDIzOjU4OjAyIEVEVCAyMDIxPC9kaXY+CgogCjxwPgpOT1RFOiBUaGUgYWJvdmUgaXMgYW4gaW50ZXJuYWwgVVJMIHdoaWNoIG1heSBkaWZmZXIgZnJvbSB0aGUgb25lIHlvdSB1c2VkIHRvIGFkZHJlc3MgdGhlIHBhZ2UuPC9wPgo8aHIvPgo8cD5SZXYuIDAxLzA0LzA4PC9wPgoKPC9ib2R5Pgo8L2h0bWw+Cg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../data/images/20210513/PMC7273476__BMRI2020-7532306.005.jpg\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../data/images/20210513/PMC6435557__bsr-38-bsr20180598-g5.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../data/images/20210513/PMC7932688__elife-65552-fig1.jpg\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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yODQvMksmI3hBO2xWVi9OMjk4emFUZTZaL2grZXgwdlRtZ3VKdFJ1SjdJM0ZWaWFLcERMREtrYktqSGdHUHhzYVVPd3hWZ1UvNTVhdmJ6MmxwQW1nWEkmI3hBO2tpZVNlK2x0cjFsNXY2MGtjYXJGREcxWTBTTlcrQ2hKKzBEV2lxcDVvL05uekxwK28yK215WEdoVzkzYlhFYWFuYVdGamRTWEs4WVAmI3hBO1dtVnZyTVpoRWRKRnFWWXNPeDY0cXpQOHRmTVdwZVlyYnpCSHJCMDY2K3FXNnREOVd0bnRuVVNySTZ1WTVZMVBGMUlIV3FsYUhjNHEmI3hBOzlHODFXV3NYM2x6VWJQUnJuNnBxazhESmEzQll4OFhJL3dCK0tydEhVYmMxVWxlbzNHS3BUNWFzQllXaVcydmVtTHBZNnBIZFhUWDcmI3hBO0pHMDh6Skg5YXVRc3NwVkNvTE52N25yaXFjLzg2My95NS84QUpMRldDK2Y5Tzg1M1dwMmIrVE5WMHF3MDlZaUwyT2FPMWRtazVINGwmI3hBOzlTS1RmalNncUI0MHhWTDdqL2xhMXRIRmJXdzh1WDBzMzF0amZTbEZTS2thbTBXU05SRTMydVFiZ0dxZjVSVEZVNGovQU1acmIzMFUmI3hBO24rSFpMbHpDMm5YS0NrY2FtV2s2U29XNU9SRWZnSzAzQnIyeFZKWUxQODNoSmFMUGYrVlhnVmwrc3NrUldWa0NpdGFnb1NUWDdJWHgmI3hBO0g4dUtxdXJhZCtZMGwyRTA3Vk5JaXQ0WW9rTXBXMEhyU2VoRjZrbEdnbElQcmlROGFBRlNLVU9LcGw1Y2g4MVcrbzI4T3R5NlpkMlQmI3hBO1hNOGs5eWpXbncyeFdYMFl1S1F3TVpGYjBmakFvUnlxT21LczEvNTF2L2x6L3dDU1dLcVU0MFFpTDZyOVc5ZjFvZUhwZW56L0FMMWEmI3hBOzA0NzlNVlZOZjFIVjdDMWhsMHZTbTFlYVNkSXBZRW1qZ01jVFY1emNwTm1DZnlqYzlzVlN0UE9OK3NTUGZhTyttU1NCbUZ2ZVhFUWsmI3hBO0FWaXUvb2V2SHZTb281MnlNalRDY3FZZE4vemtCYXhNb1BsZlZtVjY4WEVKQUlVRW12SUFqZFNCVUN2YmJmSGlSeCs3NXN0MFB6MnUmI3hBO3JXOXRPdG9sb0xsUzNwM1UvcHlJQUNmM2k4RHg2WWlXNmlkbWxMWC9BTXg3UFE0YmVhNHM1TG1PZGlyR3k1WEppb0sxa1ZFTDA3ZkMmI3hBO0NmYkx6ai9GTVJsdnUrYVFTL25yWVJPRWZ5N3F4SVZHa0NRR1FwemJqeFlKeVlrZGZoQkhoWEhnOS95VDRoOHZuK3hsR2crZWJmV3QmI3hBO090NzZDQmJWYmhwRjlDOGtNTTBaaVprWVNJVVBINGtOUEhiQWNlMXFNbTliZk5KWC9OeEYxeHRJL1FsMFhWZVgxd0gvQUVYN0t0UVMmI3hBOzhldngrSGptQitaUERkZmIreDJYNVFjVlg5bjdWWFdmelZqMHZXNGRKYlI3aTdhYnBkMnA5UzNXdkw3Y25FVSt4NGVHVGxuSXZibDUmI3hBOy9zWVIwNElHL1B5L2FtSytiZk1ja3lHMzhzVFhWbEtVV083Z3VvS1ZaMlJtWlpURVFpY1FXSXEyK3lucmxzSmNRQmFNa09HUkZzcnkmI3hBO2JCQzNNdDE5YWh0N2RvMDV4eVNNMGlGL3NGQUFBR1QrZkZVaDg4NnJyR2orVk5WMUJKTGVab0xLOWxXTm9YQUxRMmMweTFJbDZjb3gmI3hBO1gyeFY4eUQvQUp5ci9OR1poRUxmVEhMa0JVK3JTR3BydHQ2dmpndGh4S3IvQVBPVUg1aHBDSWx0OUxlUVU1Y2JWdlRXaDJBL2VubDImI3hBOzMycDc5Y2JSeHFDZjg1TGZtRjlka3ZJN0RSL3Jza2F3eTNJdENKV2pWbWRVWi9VNUZRN3N3V3ZVbkJhUEVUWFMvd0RuSXY4QU1YVkwmI3hBOysxMHE4aDA0V2wvTEhhM0N4d1NLeGltY0k0RGVyc2VMR21QRW95YnBXMy9PVjM1bk9wVm9OTVpXRkdVMjhoQkI4ZjN1RzJYRWlvLysmI3hBO2NtZnpJRUt5VDJ1bDFaZVZ2R0xad1FPZ2Mxa1B3OWZjL0xHMEdkTEUvd0NjalBQMGw3K2tIc3RIRjc2WmkrdEd6Sm05TmlDWStmcWMmI3hBO3VKS3FhVnBzTWlaTURsS0tsLzV5Vy9NV1NKNG5pMDhySXBWNlFPS2hxMS8zWjc0T05IakY5WjVZNUNUWGs4Wjh5VzFsSmJQT2x4QXomI3hBOytwNlFraWo5TXQ5dVFuNEMzTDRkanlwN1pJWVpTQm1KQUNQTWRUZmQ3dXJDUlBFQXJ4cGJyY1c3UnhLamVvVnFzTFE3R09RMCtMcU4mI3hBO3Nqd3lITWo0ZjJsTWI2cGxpeWRpcnNWZFVZcTdGWFlxN0ZYWXE3RlhZcWtkL3dDYWtzNTVJenBlb1RyRzVRelF3VlFrVTNVc3lramYmI3hBO3FCMk9RTTY2RnBsbXJvVlhRdk1jZXNHVUpZWHRuNlFxVGVRK2xXckZhTDhUZnk0eG5mUk9QTHhkQ1BlcitZSmRjajBtZHRDaGhuMVcmI3hBO2crckpja2lHdFJYMUNySzFLVjZkOG0yc1liVlB6WlczUXlhWnBVVW9sdFBVa003bEdoYU0vWEtLV1VxNnlVRVh4RUZkelE3WXE2RFcmI3hBOy93QTFTUVpkRDAxNGxsaEVyeFhocjZQR3R3eXFWKzJEOWhTZm1jVlpUb2VxZnBYU0xUVXZxczlsOWFqRW4xVzZVSk1sZXpxQzFEOU8mI3hBO0tvN0ZYWXE3RlVzMVoyU1JuV1QwV1d5dWlzeFlJRUlNWHhjaXNnV25XcFJ2a2VtS3ZORzFIelBxUDVGYWhlK1picU83MVNhdzFZdE4mI3hBO0VzS2d4clpYU3BVd004VEdnclZhYlVGS2drcUMrUWJTM2NXY2x3b3E3a3dwME5CeHJJZm5RZ0Q1bkl0UmxTckhaM1FUZ0JRdUFSR1cmI3hBO1VPd1BUaWhQSTE3VUcrS09hckRHb1RwdjErbklFdFpLY2VWei93QTdIcFZmK1d5M3AveU5YQU9heDVwTHBHankzRUVsOUpHV3RJV0MmI3hBO0FtdkZwRHZ4Mm9kbDNOUGJ4cmxoTE9lUURicWk1TGFVTzdQSXYxajRtbFNwNWdDcE5mMmFqd0JxUERBd0xTb0FvVWRobFpZMnZSVTQmI3hBO0dwK0xzTUNINkQ1a09ja0dwUmFndm1yVGJxSzJoa3NZb1pWdkxoMW5hZE9RYmdJQkdySWF0VG56N2RNQmlMdG5ISklSTVFkanorQ0wmI3hBO3RrWVR3MFZkcE9STWR0SkFBQkhJUGlMbHE3a1kwZ3lKNWxOTUxGMkt1TmFHbTU3QTdZcWg1R0RUUXlEb29xZkg0Nkt1VGp5S25tcm8mI3hBOzRhdEFhQWtWOGFkYVpFaFhjaFdtUnRXazJGRDE2L2ZnaWdMc2tsMktwYnJQbDdUdFhNUnZQVXJBc2dpTWNqUmxUS29Vc0N0TndCdDQmI3hBO1pHVUFlYlhQRUpjMEJINUM4dXhSU3hJdHlJNWh4a1UzZHlhajFGazJySWFIa2czR1I4SU1CcDRlZnpLVDY5NWQ4bGFQYm9ibTVsdDcmI3hBO2lja1FyTnFGeXJTVTNlaW1ZRnFEclRJeXhnQmpMVHhIZjh5bHVsL21ONVMwcUtLeVRWekphRGZsd2xtSVZ5VHlFZ1JxL1pKM3JXbmomI3hBO3Zoallad2lZaWsvdC93QXhQSmtsNHRyYVMzRnplUHlBUkxTNmFROEFHYmRvd1RRTU12RVd3eXBON0hXOVB2WlBYdHlRZ0ppblpnQVYmI3hBO1lBTUZrV3RVWWN1amdIZkR3SG94OFFkZGsxeURZN0ZYWXE3RlVtOHh6WHNGdmN6V05SZXhhZGV2YWtLcm4xVkVaU2lzVlZ2aXBzU0ImI3hBOzc0cTg3a3U5VHZ2eUx2OEFVZFR2WmIrK3Z0TzFPYWVXZlpsWWFkY1JzbkVSV3lxQXlIWkl3dGVoWWZFVkJmSmtjeEdsMjZLdFN3WU0mI3hBO2Y5bTJRTGp5RzZIdllMbVhVcGtXTm5lUjJrV2dPNk14Ym1QYW5mQ3pSTHlDU2VaMU5WWjJJUGlDU1JrQzF5VFh5djhBOHBKcFAvTVomI3hBO2IvOEFKMWNBNW9qelZ0SHVYajBYVG9JbTRBbDVYSUozUHJFRW1uU2lvTWtlYlhrQTQ3S0JndEhTZEpMaFJHSUNHSEg0L1VZTlg5a24mI3hBO2FsZmk5cWRjV2Qwb0JnT2hxdllqSWxEZ2NpcjlDY3lITmRpcnNWZGlyc1ZVNVMzTkFLMEozcDdFSGY2QWNCWkJSRlNKU0JYMDZBQWQmI3hBO2FveFlEN3FaT1BSakpzVitHTitrZ0RGVDRrbG5INmhqSk1XMW1Da0tRU3luank3YlZBcjg2SEswU1ZpYU44eCtyQ1NoZGhTN0ZVczEmI3hBO0NTNVhWOVBTUFVvYlNKMG41V0VpcTBseS93QUhBb1N5dHhpcXhZTDFxUHBWWTQzbUsrMXAvd0JDM1dsUWxiaC9TWnZya3NRSmpqOWMmI3hBO0g0WWVTajRmSEFSYk9FekEyT2FhYVo1WGhoYSt2TlJKOWU4WlMwYTNOeEtzVWNZMlVTeXNyRThpelY0cU53S2JWSTRBczhwSTNyYnkmI3hBO0NIcy9LMmxXMnF0cWtheW1jd0xiSjZqazBpUml3SEhZZnRaYkhHSSs5d3o2dWZKT1FBQlFkTW1sTHJ5eWVLN2ZVclNXT0Nkb2xpdVAmI3hBO1dCTVVpSXhaQzFDcFZrNU5SdmZjSGFnU3hwYmJ6SE41enRvenJFMXRidE5ISUxXMzV2Yk1rVVlsYU9qT3RGZmh2UWR6bEU4Uk11S3kmI3hBOzdMRnJJUnhER0lSTXFPNUcvd0FQZGV6T05JTnlWdVJjMzBkN0lMaVFnUktxaUZLMFdFOFNhbEtkVzN5VGlJL0ZYWXFsdXF4Mk1zeGomI3hBO3Z3aldMMmQwdDJzdFBUTVJNUWtEMTI0OGExeFY1SG9WOWEzL0FQempuYzNsc0lRczFqclpjMjdPNkZoYjNpbHVVak81SnBVOGpYRkImI3hBO2ZMTnNqYWZOSEZxY1JXQ1Q0NDJVcXhVbWdMVUJOUnR1TWlXcVFzSWk4anVYcjlWbE54YU45bG95U2dCMytJVitBOXp5cGdEQ0lQVlMmI3hBO2d2N0MyVjdlU0wxZ0FTWkVJRGVwL2t2UWppT25ROXlNU0V5amFQOEFLMm8ycmVadElSWUpBelh0dUF4a0JBSm1YdHcvamlJcEVOME4mI3hBOzVkMXlPMVZyUzVBTVRtc01oSkhCdTZtbjdMZmdkL0hFaGhseDhTWTNtcktvaUtvTGVKVklsa2ZpeWxxVVBvOFFyT0dBb056MTZqN1cmI3hBO0FSYW80RDFTbVBWN0Y2cE5DMFlGUkc4ZER0WGJtcHBVK0xBL1JoTVc0dzdselgybUN2RjVqdHQrN1hyL0FNSGtlRkhBWDZIWmE1VHMmI3hBO1ZkaXJzVmRpcXlXRkpLY2l3NG1vNHN5L2Z4SXJpcXhiU0ZTU3ZJY3R6UjM2K1BYRk5yVHA5c3hCYjFDUjR5eUhidysxMHhDRHVoNFUmI3hBO1EzMXpaK2pJbHZIRkU0bEpjSXpTRnd3VnVWUGhDRHAwKzdCZTlOcGlCQUc5eVQraEVOWVd6ZmI1c1BCcEpHRyszUXRUQ0d1MFFBQUsmI3hBO0RvTVVPeFZSbHNiT2E0anVaWUk1TGlGWGppbFpRV1ZKQ3BkVko2QmpHdGZrTVZZeERaNkVna2E0MFN6YmxRb3Eyc1NVcFhtQ3pDbncmI3hBOy9DUG1mdXhSbkk1aHpKYWNIa1Y5M05OcGw1eXNvVFBvc2l4cXRwRzhjWmh1RDBNWW1lSlBUWkNQZ0RDakNvVWxqVE9qc0w3M1h5QmwmI3hBO0toMFkzL3l0SkYxUncybVhUYVViZU40blNML1NCT1RJWkZrRE1xY1FrWXBRbmY2TUhHR3dhYkllVVQ4bDUvTW1hNTE2enNMRFRMbjAmI3hBO0hxTGxwVWk1Rmo2UlJZLzN5cU5wTnlXMjhOc0hpQzZDVHBwaU5tSitSWkFsbEpxVjhMM1ZyRlliZTBIR3h0NTJqbFlPOU9jenF2T04mI3hBO1dBQVZLTVNCeTZWeWJRaUcwSFFvWkV1STlMdFdsamNNb0VNUUpZN0Q0dU8yNXJYSkFBN01USWpkUmkxMzlIVHRhUmFOSGFHVi9XdVEmI3hBO0xpQ1A5NU9kMzRnOG1xM1VrRExocElrV0pmWVdpV3NrSlVZLzdJSTYxMTdVSjVVVWFkVlNxR1JvN2lPVGdYMklJWGZiSVQwOFFQcSsmI3hBO3dzNGFtY2o5UDJoTzh4WE1TblhVdEhTWkx5SVQyYldGNExtQm1WVmVNK21IUXN4VlFHWGFwSUdLdk9mTHM1YjhsSkxrMnk2YXpwckUmI3hBO2pSUUNWUFRJanZQaUN5dkpJcmJWb1hPL2ZCTGtpWEo4WGZwN3pYS0ZaTlV2aHpiaW8rc1M3czI2cUJ5cnVEbFFsdlRVSmRIU2VaTmEmI3hBO2pKOVRYTCtTUUg0b29iaVhnUFlTbHowOWxJOSsrVERNT2o4eWEzY1ZpaDFpL2htLzNYNmwzSXl1ZjVhamp4UGdUdDhzVlR2OHNmTVgmI3hBO21PWDh6dktkdGM2bmVQRyt0YWZITkRKUEtWWlRkeGhsWldiY0hvUWNLV1BhTmMrYmRYMUdIVDdDOXVwcnFhdkJQckRxS0twWm1abVkmI3hBO0txcW9KWmlhQWJuSzh1V01JOFV1VERKa0VJMmVTS3Y5YjFTYTRrdWYwaGNXVnM1LzBXM1dWM2s5TVVWQjhKUUdpMHE3VTVibmM0TVkmI3hBO0lHNXNzWUFnYm9VYTFmazBHczNxazlHZG40L1R4a1kvY0Rsak5YZzFmVzAxU3hpZlVMazg1SXk2bVp5cERQMitLaEJHQ05xTGZwWmwmI3hBO2pZN0ZYWXE3RldHYWgrWCtzWGwzZlRmNHgxaUMzdlBYVkxTQjRZMGdXY01CNkxyR0pRMGZMNENXb0IyNVVZS3B0clYvZGFOcE1TUUwmI3hBO0pkTkFzY2ZxekVPMHZ3TURVMVdzbjdzRmlhRGY3ck1jZUlzSnlvSXpUSnBidTN0cnFRc0pIamVwU2dRZkVCU2hxYW1tMzA1R1lvMG0mI3hBO0pzTWM4eFg4bGpkaFZ0RGNpVGkvQ1pVZGdSUEllUy9FQUVOSzA4TU9QR0pFMjJ5eXlqRVVlcC9RbmVsV1ZyY0lMcDdkUTg4VWJNZUMmI3hBO2VuV3JDaUFna0VkLzl2SVNnQWFVWnBrY3lyV05uRkRNa2NTeVJJa01KQ1ZXb05KRi9lSGZrZXg2NzVFRGRsT1JNUmZlZjBOK1g5SU8mI3hBO2xXRFc3WHQxZnRMUE5jbWU5bE0wZzllUnBCR3JIcEhHRzRJbzZLTWsxSTI2bGtpdHBaWW96TklpbGtpQm9XSUhTdEQrckl5SkFzTW8mI3hBO0FFZ0UweG5WL012bUNLeElqMG1TenVaTm81WkpyVmdEVVVvck9PVmEwTzIxYTVoWmRSa0VmcG8rOE95d2FURVpiekVoN3BmcVE5aHImI3hBO2VyeVFwRmZhWkxxbHc3eVNSbFd0SXlzVlFBcFJKV3FCMzVmVGtJWnBrVktQRWY4QU4vV3p5YWZHRGNaQ0EyL25IZjVKMGxwTGZ3SmMmI3hBOzNOaUluTWdtK3F6bEdlT1NNMFYxWlN5ay9EVWJqTm5qbnhSSEVLTHFja1RqbWVDVmc5MWpveG5VUEkrczNOOUxKQWJHMXRTRDZTZm8mI3hBOysybGVwSisyenR2eEZPblhmS3BZU1RzWWdmMVhZWWUwWXhnQktPU1V2K0dFZktrNHNmTE5yYldjYTN1bjIwOXdnUHEzQ1cwTVlPK3gmI3hBOzRLV3B0NFpkREhHdDZKOXpoWnRaa01pWW1jWTkzRmFCMXpTOU9NOXBBdHZHdHJNakpORWloVmRaWjdlT2g0MC9ucmtja0JkVitObTcmI3hBO1M1NTBaV2VJYmcrNk1pamhhK1lJb1lvQmMyOTFIdEhMTEpHNlNjQXRPWklkdzdrK3lqSng0aFhWeHNrc014TGFVU2ZNRVg4dGg4MDQmI3hBO2ZTTkh2V0YzUFpRelN5cUNYa1JYTkN0TzRQYmJKak5PUHBCSWNjNGNjL1VZZ2txbGpwT21XQlkyVnJIYjh2dGVtb1VINkJrWjVweismI3hBO28yeXg0WVEra0FJdksyMUlmTnppUFRMK1JneENhVmZzUWpPakVCRU96eGgzVSs2Z2tkaGlyQ1k3azNINUp5U2hwWGpObHFnaGt1REUmI3hBO1ozakZyZGhIbE1JQ2MyV2hicWE5V1kxSlNndmhXRW5qUExXcnBCOFB0eVpZeVA4QWdXT1ZCcUNtc2NVVnVrOHErbzhoUHBSR29YaXUmI3hBO3hkcUVIYzdDbmNISk0ycGxnbHQvV2lUMG1SZ3MwWVlsVHlCNHNsYWtmWitLckhmcDRCVmxINVlFei9tVjVMdUR2S211NmJGTWFBVi8mI3hBOzBxTXhzZkVrQWo2Tit1RktRYU03V3NOeGVySVlwRVZvNCtMRmZVOVJURzhab1BpVW81NWp1UGhPeHl2SUxxMnZJTGRlSkhkVFBleXomI3hBO2NJNVRWaUkxUm1rSXF3amlWdUlVTjdxbzdBZE1ZQWdickFVTjI3dTNzSkxHMGJUMWRwbzFaYjh1M3hGeXpNckNPbndxRStHb1k5TismI3hBO05SZ0ZnbXp0MFFMQk44a1phNllZcmV5dW51TGVSNE5SaWdXT09WWGtwSUJJU1ZGYXgxWDRTUDJ1V01NdG1xS1k1TE5VWDZXNWUzT0omI3hBO0FGVHNCMU9LdkpkWjFTd3VaWjllMG56ek5IcFdydklsczFwRmVYNlcvQzNpRXlSckM3eG8vd0JxVDk0bndrN0RZNHFoTlVPbzNrdDEmI3hBO3F3L01KWUxVd05jbGJSYmxvekRiU1NKSktrTVVnOU1CMGVPaThpM0d0ZVcrS3M1L0xUVm9MN3k5Nks2ME5jdUxPYVdLZTdwSUgya1kmI3hBO0x6RXFxOWZoUGFnTlZCUEd1S3NoWkE5emNyTmNvOFlqalpMYmlsWWZ0Z3lFbXBQUHRVVStINTQycUR1dk1HbDJkNGJaMmRYaUJCaVImI3hBO1J4UEtocjlIOGN1amhsSVcxU3pSQnBUMCs3c05UbnVXaWxaZ2dqQmtkVTVEbEpJd1FWQkZOK0k3NVhLQmlkMjZNeEtBcnZQNkdNNlgmI3hBOzVTOHcyL25GdFJrZGpZK3N6ckJ6aTRJaEpvUW8rUGVuYzVsenpRTUs2dVBHQkVyZDUwOHI2OXF1dTJrMm16dVliZTJoRXBEeEQxdmkmI3hBO2wyZm1POWEvRFRJYWJMR04yMjVZRXhGZWY2R2Z3cVZpUlQxVlFEOHdNeGl5WFlGUXQ5cE9sNmh3K3ZXa04xNlZmVDlhTlpPUEtsYWMmI3hBO2dhVm9Ncm5palA2Z0MyNDg4OGYwa3h2dUtuWmFIbzlqS1piS3lodHBDQ0dhSkFoSVBqU2xjRU1NSW00Z0JPVFU1SmlwU0o5Nk95MXAmI3hBO2RpcnNWWXJyMXZkTEpiRzJoZWFTT2NROEVwOENOSWt5dXhOQnhYMGxya3NsbWlHelJtSTRveU5mMkVWOHBKd3pCUVNlZ3l4d3lVZGImI3hBO0l5VzBTTUtNcUtyRDNBcGxjalpMZEFWRUJVeUxKMktwTjVqa2hpdDdtU2FXV0NGTk92V2tudCtYcklvRVpMeGNQaTVxTjFwdlhGWG0mI3hBO3VrU2E2MzVMYW5IckZqSFlTd1JhdEhid3hLcUtZUlkzREJ1SVptSHhzeS9HRmZiNGgzS3I0MjBpS2ZWb1lyQ0VpVzZDeVJRMnF4cUcmI3hBO2FQMDNtNWVwdHNyb0NRZW5idm1KSWlCSlBJLzJPTElpQkpQSkt3SW5qOUM0SmhtaUpXTnlDVnBVa280SHhDalYzb2Y2WHR5MTJ0NDQmI3hBO0doaHE4amtlcktSUUZWNktvNjA1YmtuMjJHTnJiS3Z5cFRoNS93REtIS3Y3N3pGcFpRZHYzVnl2S3Y4QXlNRlBwd2dwQlNPRkxTVHkmI3hBO296eHl2OWV0N3dpYUFtTVIvVjU0MTR1cWsrb3g5U0dqRUx4SHcxTldHVkVuanJwWDIvZCtDMVNKNC9La0sxdkpjMjhKdC8zandvVWwmI3hBO2lIMjkzWmdRdlZoUnUzVHZUYXRqWXVpaWxzb3BaTGhQVGFWUFRqZ2NmRTFTRHlaVHVGV2xRZTVwMTN4S3ErbU85TFZITkZrdllERXUmI3hBO3dCNEU4enQvcnJpQnVvRzc5TmNzYkhZcWxGbDVQOHEyTml0aFo2UmFRV1NNMGkyOGNLQ01QSXZCMkMwcFZsMk9Lb1oveSs4a093SjAmI3hBO1MwVUNQMGdpUktpY1BpMjRMUmYyMjdkOFZSMmgrV2ZMK2d4U1E2TllRNmZES1FXaHQwRWFmQ0tLRlFmQ29GVHNvcGlxTUcxMU13dDYmI3hBO042YWY2UU9IN3loZjkzMTVmQjEzMitMYnZpcUN1dEIwNjV1ekxMQ3pOSUNYa0RrQUVVQUZLOXhsc2MwZ0tEVkxERW15b1dVVmxwZHomI3hBO09xSjZKa0VROU41RnFWRXNpOHdXUFRqOFZPdjA1WFBJU2QzSWhoOUE0UjFQNkdFNjErWTJ1V3Q1cVVOdkc3eDJpbDdlVmZxcFNZaGkmI3hBO0JGSHljTno5MzRyNzVIQklTbUFlVzdrNTlNWTQ3QU43SmZvMzVrK2E3MkdHOGF5bVdXNWRJWjRDTFRsYm9Ia0hxU2tPVks5L2dMSGYmI3hBO3BrOVRVWmVuYmI5YU5OaDRzZnFCK28rWFFQWG8yTFJxeDZrQW42UmtYRks3RkRzVmRpcnNWZGlyc1ZVcHJaSlNHSktPTnVTMHJUd04mI3hBO1FSa295cGhLQUsyS3pqUmd4TFNNUHNscWJmSUFBWVRNbFJqQVY4Z3pkaXJzVlFOM1BCQnFOdEpQSXNVZm96THpjaFY1Rm9pQlU5OWomI3hBO2lySHZ6RXVyVzg4bzZwYjJreVhFNzJWK0VpaVlPNUpzTGdDaXFTZXB4VjhGeGVRZGJqSElTRUVxYXI5VDFLdTQ2Zjd5VXlCamJBeHQmI3hBO1V1UExtcXpSUU0yaDZpODNEOS9KSEJLcERWcDhYSkdEVUhnRjl5ZTFVYjN0cmpmVlJUeWRyd2pNaWFGcVZ4eHF4WjdlU05BQjJZS0cmI3hBO0pyL3JMN1pLd20yUWZsOW91dk4rWjNreWR0RnZMYU9EVjlPOWQyaGw5TUJieEdMQ3FLRVJWL1ZVbmZERUc5MHhCdmRpTm41Yzgwd1MmI3hBOzhqb2w3Skd3S1NSbTJtb3lucit6c2U0UFk1SWhrUW5XbWZsejVudXJhOXY3ZlRYbHRiS0pqTkZlUnl3U3FKRktLNnhqaTBoVnpWUWgmI3hBO2JmanlHL0UwWkpnRUEzWjh2MlUwemtBUU45L0pMeDVRMW1JaHBkTnZwejFFY05yT29Qc1hrUmVQMEtjdXBzcHUxOHQrYVgxYXlaOUgmI3hBO3ZVUkpZd2lDMm1DcW5PdEJWZW0vZjZjSVpCK2xHVFp1eFYyS3V4VjJLdXhWMkt1eFZLYlRRSkxmWEo5V09xMzgvd0JZUmtiVDVwRWEmI3hBOzBXckFvWTRnaThHUUx4QlU3Z25ueU5DRlc5YTBGdFVuc3BScWQ5WUxaeXBNWXJLVllrbUtTSkp3bXFqTXlIMCtETFVWVm1IZ1FxbXUmI3hBO0tzRjhsZm1QYythcmk2dG83UzN0SkxhU1A5N0ZjRzlqNFNHNlVSeVVTMjlPNFUyZko0L2k0cTZtcDVZcXlEekZyTStnNkZmYTFkeUwmI3hBO0piYWZDODhzY01CYVZsUVZvZ2FaUVdQYXBHS3NJMHI4K2ZMRi9EQlBMSmNhZkJjR1FSelhka3lvZlJoYVp6V09lWG9GNDA2azlCc1MmI3hBO0ZVMHMvd0EzZktsM2RRMjBPcXFYbmtoaFJ6WlhJakQzRWNVa1lkK1hGYWk0VVZZMHJYd3hWRE4rZEhsY2F2cVdrTGV1OS9wSXZUZlImI3hBO2l4bUNvZFBFalRBU0dRSXhLeEZsbzNoV2xjVlFLZm41NVpiVW4wNVduYTZVUmtLbHRISUQ2MHNjVWFuMDd0dUQxbUJaSDRzZ3J6Q20mI3hBO2dLck90QTFpNjFyVHhld242dFNSNHBiYTV0eWswY2tiRldSd3N6clhic2Z4eFZNSTVMeEx4SVpuamRIamQvZ1JrSUtNZzd1LzgrS3MmI3hBO1E4dGZtTmM2OXIzbUxTWTdLM3RCb2QyTE9PYjZ5WjVwVDlZTURPOXVJb3ZUWGFvL2VOaXFOODkrZDR2SldpcHErcWxwclo1ZlI0MnQmI3hBO3Q2amcrbThwWWg1NHh4VkltSk5jVlNIVHZ6djhzWGVuTnFFOXhMcDBDUVEzTGk3c1pBd1c0bWVGRnBITkx5YXNaYWkxK0hmeHhWTU4mI3hBO0EvTmZ5dHIwOHNPbTZzaitra2tqeXlXVnpGSFNKUTcwZDJWV0lVOHFBOU1WU3ZUL0FNK1BKbW8rbEhaYWc4OTNLNGhTMFhUN2puNjMmI3hBO0ZTMFhNeWVqelV5QldvOUs3VnhWRlhINXdhVkZyRDZTbnFUM2FYVDJKVklvRkpsanVWdEdva2w1SElVOVdSUno0OFQwQjVBZ0txdWcmI3hBO2ZtcmFhMWRRUVFRWEVLekdGZnJFdHRHMEtOY3h4eVFvN3czY3RHZjFxQURlcXRXZ0ZjVlpuSzkvQUZlU1NLUkM4YU1xeHNwK053bXgmI3hBO01qZE9YaGlySHRLODU2dHFYbVBYOU1YU2x0dFAwYTRpczRkVWFWNVBYbWtFVE1QUjlLTlZDQ2Z0TVQ3Q3VLcDdmM043WTJGemV5elImI3hBO05GYXhQTklxUXNXS3hxV0lGWlFLMEhqaXJ6cnk3K2Z2bHJXN3BiZU1YVmx5dUJhK3JkMllTTVNlazB6VlpMbVNnVlVvMWU1R0tvNjAmI3hBOy9QRHlSZHpKRGJhd0paSDRtaTZmZG5pci90TnZzQlVWeFZmcS93Q2NubHpUTlFsMDk3djE3dUc1VzBsV0czcWlzNEpETks5d2thSnQmI3hBOyswd1BlbkhmRlVOZWZuZG90b0tTck1zb2hqbmVCb1lJNUFKYlFYcXFGbHZFNXNJV3EzRGtGL2FJcXRWV1FhTDUyYlZ0VU9ueHd6V3omI3hBO0ZycEliaTR0ZU1NcjJVNWdtV05sdUhKS3NwUFNsUGZiRldRelBxRUlSM2xpZFRKR2pLSW1VMGR3aG9mVWIrYnd4VmgxbCthVWQ3NTgmI3hBO3Z2S0NXYVFUMnl1WVoya2VTVStsUEZDNW1nRWFMR3JldnlpUHJFc3RDUXZJVlZaSDVpMW1mUWRDdnRhdTVGa3R0UGhlZVdPR0F0S3kmI3hBO29LMFFOTW9MSHRVakZXRWFWK2ZQbGkvaGdubGt1TlBndURJSTVydXlaVVBvd3RNNXJIUEwwQzhhZFNlZzJKQ3FhV2Y1dStWTHU2aHQmI3hBO29kVlV2UEpEQ2pteXVSR0h1STRwSXc3OHVLMUZ3b3F4cFd2aGlxWGFuK2V2bGF4MUc2MDBYRWx6ZldNdDFCZHd3MnRQVGtzK1laUzgmI3hBO3R4Rkg4WmpvbEczTEtOcTRxanJqODJkTHQ5VmoweVJuK3N5c2lJQkRGeTVNNVEvdS9yWHJVUW8zSitIRVVwV3JLR1ZhMGI4MTdiVmImI3hBO3Y2dkhhM2R1RmExU1M0bXRZekVqWDVoRnFHYUs3bC92ZnJLbGFDaEZUMEdLczFsZS9nQ084c1RvWkkwWlJHeW1qdUUySmtiK2J3eFYmI3hBO1ExU01RTGJmVll5anRjRnYzWEZUeWFOK1RFZW5MWDMyK25JVG53aTJNcFVGT1piK25welNPMGJzc2NncWhCRWpCRDF0d3ArMTByaDQmI3hBO2hkSjR0NlYvME5ENlVrWHF0NlVvS3l4K25iOFdCSEVoaDZWQ09PMitTU3BKb1ZsYWFjYk9IOTNZUnhlbXRuSERiTEY2YUp3RVlqRVEmI3hBO1RqeEhFRHBUYkZWVnRLaW5pY1BPMGtWd3BFaXRIQVE2dUtFTURGdUNEdlhGVjZhWndia2x4SXJiN2hJQWR5Q2Y5MStJeFZ1SFRUQ2gmI3hBO1NHNWtqUXN6bFVTQlFXa1l1N1VFZlZtWXNUM09LcWtWbXlYQ3p2Y1NTc3FNaXE0akFBY3FTZmdSVCt3TVZVTlN0NEk3YVdXS0lMTTcmI3hBO3hGbmpDcTdNSkY0MVBGNjBQc2NFalF0Qk5JZDRkUW1XTVNzekJ1THFyOERROXEvNk1RQ01pTWcyNTcrU09NTkhRckRVZExqdDdwUk4mI3hBO1pTaU9VMmtzTnRKRUdWaEtoNE5EeHFyL0FCQTA2NzVOa2lqcEtIaldkendQSlAzZHY4Sm9SVWZ1dGp2aXExTkZoU2Y2d2twV2ZpSS8mI3hBO1dFZHVINEw5bGVYcFZvT3d4Vnk2TENwcXNwVThqSlVSMjQrTXVaQzM5MTFMa3RYeDN4VmMybEt6S3pUdVdSeEloTWNCSWNMd0REOTEmI3hBOzlyajhOZkRiRlZRMkxzVjlTNmxrVldWK0JFUUJLTUdGZUtBOVI0NHE3VVFvdEhJQjVGNHlDdEFlZk5lSjZOMElIWTRDYUNrb01mcFYmI3hBO28xSmtjY3hYaXhYYXZacVd4cGtCa0JBTkhmeUxBVEhuOGxTeDA1UFFqbmhsZUV5b2pVUkxjRUNtd3FJaDBybGpOYlplWHJLeHRWdEwmI3hBO0tscmFxQ0Z0NFliYU9NQmlTUUVXSURlcHhWZkZvVnREejlKekg2aEJmaEZicnlLcDZhazBpM29nNGoyMnhWczZMQVdkaklTMHByS1QmI3hBO0ZiMVk4UWxXL2RiL0FBb28rUUdLcWgwMG1aWnpjeUdaRlpFbDRRY2xXUXF6cUc5T29ERkZKOGFERlZ6V01qOFJKZHpPcXVyOFNJZ0MmI3hBO1VZTUswUUhxTVZXNm5IR0xkNUFsSlMwUURyUVBVU0tVM0t2c0Q3SEFUUVVsQ0ZOUmxpQ3U3bFpWbzBiOENLSGFqZjZNUjg2NUFaQVEmI3hBO05qdjVGZ0pqeitTKzIweUtheUJMbFk3cU1HYUgwN2Nxd2RLRlcvZERrT0pwdU9tV00yNFBMOWxiMksyRUJFVmlzWWhXMFNHMldJUnEmI3hBO3ZBSUl4Rng0aGZocFRwaXE5ZEdoVjNkWldEeXNYbFlSMjRMTVJRbGo2VzVvS1lxMURwMFBxeVNSWERMS3pGcEhXT0FNVyt3V1krbFcmI3hBO3Y3dW4wWXBJcGUra3BJVkx6dTVSbGRTMGR1U0dUWldGWXVxOWppaFVheGQrSWt1cFhWV1YrQkVRQktNR0ZlS0E5UjQ0cWtYNWczbWomI3hBOzJlajJsenE2cTFrbW9XZ2JtN3hxSGFVTEd4WkF6ZkM3QnFVM3llUE5QR2VLSFBsODlqOWpLT09FelV6US9WdVBtZGt6dXBvRGNHTVMmI3hBO3htUVN4VlFUc3pEOTZuV0xvTWp4SGtpaDhVejVMeTQxK0tsYVlLUXBTdXJLUU9xdWdQOEF3UXhTUXV0LzdpTWR3b1UvTWJIRkMvbDgmI3hBO1ZQYnJndmRGdVpsVVZZZ0R4T3d3Z0pieFZLL05CdFYwQzlOMksyZ1FHNEJaa3JIeUhQNGwrSmZoN2pmSlJtWUVTSE1icUlnN0hraGQmI3hBO0QxSFNyclNkR3VMS1NKTFc1dExhUzBqK3N1cDlOMEJRS2hDODl0dHdLNG5MS1JKUE9XNStMSXdnQ1FEc09YNHROTk9sVDZyYlJiOHgmI3hBO0JHNTJOS0VVKzFTbmJwZ3JhMkxiWFJoUzVlWU1mUlV6RUxRL0I4VkF2VGVpVjM4Y2lHVWh0YStQNndJUUhvWlFXRlQrMEFTRkpwUVYmI3hBO094T0NWOUdCdm9xOGw1RmFqa0FDVjdnR3REK0dTU294U3ZQQ1dTc1pOQ0daZjJXQWJZVk85R3A4OFlsbE9OS2tFeXpRUnpLQ0ZrVU8mI3hBO0Flb0RDdStHVWFOTVVIcnZvZm91YjZ4VDBLcDZ0U1ZIRG12S3JMOFEyN2pHTWpFMk9ZV2dlYVUrV2RUMGE2OHRhSGM2ZThVVmpQWlEmI3hBO1BhUmZXbldrWlFjVkd5OCtQU3BBeVVzODVreWxYRkxjKzhzNVk0UkpqRWt4SExibVBtbk50S1k5TXRlSUpjeEp3QTdrUjhxZlR4eXMmI3hBO29pTFJlL090ZmhwUWozeDZzT3FrWkdsaFBwa1ZKQzFVMW9yRWJnN2I4RFhGc3FqdXZXYUlpTWhoKzkzakIySjJyc0Q3WWJZOEpYQnEmI3hBO3NSNGY3WDhNQUxHMjhLVUJydm9mb3ViNnhUMEtwNnRTVkhEbXZLckw4UTI3akRHUmliSE1MUVBOS2ZMR3A2TmQrWE5DdWRQZUtLeHUmI3hBO0xPM2F6aStzdUtSbFFGVUFoZWRPbFNCWEpTenptVEtYMVMzUHZMT1dPRVNSRTJCeTh4ODA2MDJXdGpiamlRQkdxZ21nNUVJRDhQNC8mI3hBO2RrU05tQ0pJb0sxNmRTVDI3NUFvVTFkZWZxOG40bG5VZy9aWGpzU2ZBZnUveHd0aEhSc2N3WTBjQnBHVDk0L1lsYVZIVHZ5Tk1CWXkmI3hBO1ZGMkZLVXAwSHQyd2hpRzhLVks1dElMbFVXVU1RamMwS3N5RU1BUldxa0h2aXFtMm5XelU1R1VoV1Z3RE5LUlZTR0czTGZjWXE1V0wmI3hBO3VrcDJGVURmTXFmNHVNc0lyWkR2MjRoMmxQTC9BSUVseCt2S2d6TFJrZEVvcHB4YVIzLzFWZmNmVFhDeFZwWDRJOGxLOE42ZlIwL0gmI3hBO0lvVVFqTW90M1lzUXhETWVwQld0Zm9MWlpFMXVwUktOeVJXOFFEOStBcFd6UXh6Um1PUUVxU0RzU3BxcEREZFNEMUdCVklhZmJxQXEmI3hBO21VQWJBQ2FXZ0gvQllxc2pTS0tOQktucHhXMGl4MnBMRmpRcUlsSjNKM0xsZC9ua3g1ZDI2RjU1V3FRZ0V0Q2dXSWlsV0xNeUlqZlImI3hBO3ZYSzZaazNaNnVoRUszYzZoaVpqeGxkVDBWWEhBVStmbzQ5V0NuVzRkZlVDbFpYWjQxZHdvTUk0MHFQNWxhU01IM3I3WWk2VEU5NnAmI3hBO0l2SzhpQmxJb0RJa1FHeDRCa2FwL3dDZXEvZGt4ZEVxVldHVVNvV0FJQVowb2R0MFlxZnhHQWhBTGNzU1NvVWNWVTBPeElOUWFnZ2kmI3hBO2g2akFsUkduMjZnS3BsQUd3QW1sb0Ivd1dLcm9rZ2hFTnNnTkkwL2RWSlloVUFYcXhKclE5Y1U5R2lKR3QrUllKTXczSjZCeXZHbi8mI3hBO0FBV1FycitPNWFGK1Z1QVdPVllvbG9LZ3lmNnZFcXYvQUJBWkpsekZsUmVaVmJoR3Y3cUJVNVNDdkpWRGtFRGJjZnUvaTM2ZU9FRFomI3hBO2Q3OHlpWFpsakxSSnpQRm1WYTBxM1VDcDZWeUk4bXNPZ0VvVXJLZVJVMFdUWUZoVFlrRHYyT1NTM05ESE5HWTVBU3BJT3hLbXFtb0kmI3hBO0lvZW94VlNXd3QxWGlwbENnVUFFc3V3SGg4V0tyQkNJWUVqV1BqRmJPb2haM0pwR3FpckVrMTJCWWI0UnZ0K1B4YUNpcENGUm1LbGcmI3hBO0FUeEFxVDdBWUNrQzFrY1MvVjFpWVZWUUZJUGZqdCtPQWNrOFJ1M005WkVDbFNGTlgzNmJGUi93MkpISkMyWWNuRUlZcjZueE9RU0QmI3hBO3dHeDRrRHJXZzdIZmJFSVh3K3A2WUVnUElFaXBJSklCb0dOQUI4UTN3cFg0cTdGVUlMQndqS0xxWUFtdlNMWWpwVDRPMU1iS29mVVYmI3hBO05uYUc2YWFhVVE4UWthcWpHcmtKc0VqTEhya1pHZzJZc2ZIS3U5ekw2V3F4MnZyVE0xMURKTHo0cVZYMFRHdEtpUGlLK3AzT0pJdWwmI3hBO0dPNEdYY1FQbmY2a1NMQitDcDlhbUtxUVFLUmZzbW8vWThjazF0aXpmMVBVK3N5ODZjYTBqNlZyL0ppbEVnVUFGYTA3L3dDMWloMksmI3hBO3V4VkRTV1BNVHFacE9FNXFZL2dLcjhQSDRhcWFkT1h6eEhPMUJwVW1nV1ZvbVptQWlZdndVMFZxcVZvNC9hSHhWcDQwT0FpMVU5T3UmI3hBOzB2YkczdlVWb3hjUnJKd2NNckRrSzBJWUtkdmxnaWJGczh1UGdtWTl4VlBxc1hwaU5xdEdwVmxWaldoUWhsTmV2MmhYYzRhWWhVS0smI3hBO1hEL3RBRURmc2FWMitqQ2hzQ25jbjU0cTdGWFlxdDlOZVplbnhFQUUrd05SK3ZCU3U5S09sS1ZGZVZEdnZYbFhmM3hwTnU5Sk9SYmUmI3hBO3A2bXAvcmlRaENUeVEyOXhiMjNwdTR2cFhWcTgzUmFSTXpFL2FWUWVGS0dsU2ZIQmRFTmtjZkZFbithUDAwaXBJSTVGVkhCS3FRd0YmI3hBO1NOMTNIUTVKclg0cTdGWFlxcE5heE5LSlR5RGltNGR3RFRlaEFOQ1BZNEtWVGwwNjJsa0R1WmFxYWdDYVlMV3Rmc2h3dTNiYmJKRTImI3hBO28yYkZoYmh1VlpUN0dhVWcvTUZxSDZjQTJOb3BaNnR2Y1hzOW15RXRESEhJV0t1dFBWNXFDajBBcUFoK3lhakFKYmxzT09vaVhlVDkmI3hBO2xmcmJYVExWWkRJREx6WTFMR2VZL1J1L1QyNlpJbTJJS0lqalNOT0NDaTFKM0pPNU5UdWZjNEVMc1ZZSGQ2UithY1ZuNnR6NXRzN2EmI3hBO0tDVDE3cWVIVFF6aTNpS3N5S3J2SUNYVlhxYWJiVTMzeFZQOWJuMUtHV1NVbUNTeVJFWTJUU1VkdU15bjFQN3NucDhOSzB3VmV6UEgmI3hBO0tqZmtmdUtXV1YvUHF1bDNKc2Zxa0xvL05iK1F4c3FxMHJNRTRpTGdRcWowNm5mdjF5ekpoNGVkTUlhbVV1UktQMVNEVWxkSGlTenQmI3hBOzFTS2RudGc0THkwVDRXVmpDR1gwenY4QUQ0NzVUS0lwdXg1SkdRQko1b3lYOU9ORGVMRThLU3lWOUtScGd3dDJNYWdjVjlCYWdIOTUmI3hBO1J5ZHoxNDBBbTByMWsxdEJhUnpmVnVmSUxLM3FzRE1SRzFRaStrS0dvNTBIWVlxMzVmc2RZc3RPOUhWOVNPcTNwbGxkcm94UndEZzgmI3hBO2pHS05ZNHdCU09QaXRUVWs3NHFtT0tzTTFEUlB6U251NzQybm1heXRMS2IxMXNVRmdIbWc1aHZSZG5kMlNReDFIdzhOK3BQN0pWVGYmI3hBO1JyR0s3c2JPOGVkYnB1THM4eGhSQmNjeWYzam9SeVh4Q2dpblRJZ0J2bmtrRFFKNUQ3a0RwR3JhRGU2dExhMjhDRzZmajY4YkVPSTYmI3hBO0lTdjd2a1JIeVZld0ZldVh6MDNDTDJjV0dybEkxWithUGgwOFdkdExhcnFEd2hZWWY5eUJFSWxxWGVqRWxQU0pPeTdwdmxBRzdrVGsmI3hBO1RFWDNuOUNaUzJzajNVRndMaDA5RU9EQ3Y5M0lIQSsycHJYaVFDcEZDUGtTTWsxSlRvM21heTFEVVo3TzNhdHdDSG5RdnpNWjRBS08mI3hBO1BJOEFRdGFiZHozeTZlRXhGMjB3emNScWxmNmhxa2t1alMyR3JrYVphOG12WXlpVHRleE5DVmhCbmFwWGk1VitTN3RUM3lsdVRqRlgmI3hBO1lxeEZ0YXZkQXNiS3oxSFV2MHhkbDNFbXBQNkZxWm5NcmdRK25IR1VIRDdIdy9GOE8rOWN0aGlNaFlhNTVSRTdwc05SMUpVbHZDa0wmI3hBO1JmVjQ1ZnF2ci9FaS9HM1BhSGxWK201cDhPM2ZJY085TXVMYTJQeitkcC8wVE1mVldGcERJME9vK3BGeGpFa2hNUW8wWmpZSUdWTi8mI3hBO3RVOFRsMzVhWGVHcjh4SHpRRC9tQmJIWGJXeGtrTWQxS0xtUTJIcnlWbVFQUldWZ0J4RWRPZzY1aVMySkJkbkdIRUFSVzRIUWR6TDQmI3hBOzdYV1BXbkxyRThSSTlGQmQzQVpQaEhJTTNFOHFuY2JESmNMaitJZkw1RDlTRTBlejErVFVyYTdiVncrbHd3dkhjV1NCWjF1WnBJNEcmI3hBO2l1Qk95aDBVRG1lQ2ZDZVdBTGtOZ0h5L1NXUjVKclN6WG9OVG1ndFBxR3BycFJTOHQzdVpXampsOVdBU0FTV3c5VFpXbXJ3RERjVjImI3hBOzN4VlhFK3FGeW5vV3hZQUVyOVllb0JyUW45ejNvY1ZVekxydm9TZnVyVDFmajRTZXJKd1hjOGVTK25VOFJUbDhRcjdZcWxtb2VibnMmI3hBO0wwMlU5ckg2L3dDeUJQOEFhK0VNZU5Zd1RRSGZiTG9ZRElXMHl6Q0pwSWZLL242dzF2V0xqUXJWdlcxT3lXTDYxQ2JtNFJvdlVoOVImI3hBO2ZVWWhnM1BpU09JOXZmTVNKdW5aNTRHSmw5T3g3aCtwbFl0OVRXRmZWamk5U2dEUDljdUZVc2R0bEttbFQwRmNzNFhHOFErWHlINmwmI3hBO1BUYlBYRHF5M3N1b0VhV3R2TGJuU0FxeUQ2eDlaSkZ3YmhsRXg0eHJ3QzlPL1dtTVZ5OC9nUHVUckMxcVYzTGNSVzBrbHZEOVluVmEmI3hBO3h3Y2duSnV3NU5zTVZRK3B4aWFGb0hqUHBTR0pXa3FOK1VxZ3I0OU1GMXV6Z0xKSGtmdUxITmJudk5BdEJKcGRyV2VkbkRXN3VyYzEmI3hBO2ljS2pjbTJXcXR5cDlHWlVUNG5QbzRoSEJ5NnBiZjhBbTN6QnhNU29yMjhrY2dsbStFY1BoTlBoSXFhOU5zRThRb3QyQ1pNaDcyVCsmI3hBO1pOVTFHdzArYWUxZ0FsV1VKQ0NWUHJEMHVYZjdQeC9EdjRWNlpERkVTTzdISklnYk4rVzlTdnRRMDZHNHU0ZjM3U0VTS0N2N3I5M3kmI3hBOzZqclJqeDI4ZkRITEVST3k0NUVoT3NxYkhZcTA3TXFNeXFYWUFrSUtBa2p0dnRpcUQwZVdlU3hSNTR2Um1kNVRMRnlEY0c5VnFweUgmI3hBOzJxZEs0QXp5Yy9nUHVTMi8wMjEweTFudmJPRXczRUJVUXlsaTlRNUNzZUxFajlvamZNaU9TVWpSNU9NY2NZN2hCZVZOYjFtK0Y1UGUmI3hBO1c1YTVSYmRmcXFOSFVCcFpWSkQvQUFLZmgrTDhPdVF5UkFMZEUzQWU4L29XZVlQTVdzMmV0RzB0Z1Ria2puSUJIU01lbUczNWZFZVQmI3hBO0dncG1SaXhSTVFTSEV5NVpDUkFMSWJUUk5OdEpoTmJ4RkpBQ0FlVEhZL001anl5eWtLTGZIRkVHd2k0WGQ0WTNrak1Uc29MeE1RU3AmI3hBO0lxVkpVa0duc2NyYkYrS3V4VkpkUTBheTFiNnZQZDI4OFVnYmlzUDdvbU1obVBOcWVvdjBnOTh0aGxNUlFhNTRoSTdvL3dDcDI3UlMmI3hBO1dYQmd2b0pFMDlBQ3lmRW9YbFRjcnVlbTFmZkljVzlzdUhha21meW5wYldydnd1WkFoWUNEOTF5YjAySUhFTUF1L0dxMU9YZm1aZVQmI3hBO1QrWGo1ckxUeVhwVEF1WG1MQ1NhamNrMnBLUi9MWGZNVWppTmwyUGpTZ0JFY2dCOXlhNjVxazlocDA5ekRDWGtoSUNvdzJlb0IrSDQmI3hBO2w4YWJrYjViampacHhKeW9LSGxYVVp0UXNwN21XSVF1WmdQU0FweEFoajJJcTI0OWpnbkhoSkRQaXVJOTM2U25PUlFwWE5DcUtZRGMmI3hBO0taRXFvNEVMUnVRa1BNcjlnZ0hiZndHS3JsUkJPN2lLamxWRFRVWDRnQzFGcjlyNGFrNzdiN2Q4VldPcUcybFUyM05UejVXOUUrT3AmI3hBO05kaWVIeDlkejMzeFZMZFI4czZYZTM2M2s4YnZPVFFTS1UvZGpoUWtjaFVWNGdiWmRITVlpbXFXRUUyZy9MMmg2UGJTUVhNQmNUcEcmI3hBO25GbWVNaCtVZERRTDhXM0ttOU14NHdvWFRtNTlSS1VpQ2VxN3pOcXMrbTJkcDlYc3hJclVQMVFyR1NwaktGS1ZkWXdVTy8ydTIyWk8mI3hBO0hHSlhiZzVzaGpWSmo1ZnVaTG5TbzU1S2M1SGxMVTJGZlZmS1pSb2tONWxkSHlIM0pqZ1EwOU9CSmJnQnVXMjZEYzljVllYZTZEclEmI3hBOzh5TGYvd0RTditzd3Q2ZndkZnJDdDZuTGx5K3p0eHBtVkxMSGdxMmpIamw0bDEzL0FIRmtXbzNzZGphK2xjMzVnbm1kMmh1QkZ5SVUmI3hBO1NjdVBFS3kvQ2pCS25yMTY1aUdRSE55NFlwVDVJUFVQTTJqTmF6Y0x3QlBTa0RKNlVsU1N1MjlOcVpFekZOMlBUekV4dDFUQ3cxV3omI3hBO3ZKNW80YmtTc2ZqalVSc2hSQUZVZ2xoUnZpcWZwOXN2bGlsSGN1RkhKR1hKSi9NT2k2dmVhN1pYZHFTTFdFRDEwL2QwZmM3RXNlUTQmI3hBOzFydGx1TElCR2lXbkxqSmxZREo4eG5KZGlyVEFsU0FTcElvR0ZLajMzcmlyRHJ6UzljdUx5V2F5cWJWcFpDQ0hIeENwSHcvR3RQaTkmI3hBO3N2eFRpSTdzTThTWmJkdys0TXN2YmkxdDdaNXJvZ1FMVG1TQ3czSUEyQVBjNVJkTmtZbVJvSlJCNWg4dnJlekdPWlZCaWlCNHh1T2omI3hBO1NmNU9HRVRNbXQyZVllSEFjVzFrL29UT0UydDRFdW92VGtnY05VbVA0bVlFQUdwcFFDaEZLZjJrM0UwMGlwYnFHdlcxM2NhZVk3UUUmI3hBO3pjbElBWUthRHJ1U01uaGtCTGRobGlTTmxEeTFaNmphMjBxMzRQcXN3SU5RYTdiMG96VSsvSlo1UkoyUmhpUU4wNHlodWRpcTFRNEkmI3hBOzVFRTBISWdVQk8vUVYyeFZCcnFsbWIxb2ZyS0d2R05JdjJoSUdZTjI3L0RrL0RsVjB3OFNOMWFyTEhxQnM1VmpsUkxzcy9wU01wWlEmI3hBO3BjbGFyOE8vQ2crZmprR2JBZFUwWHpQTjVtYTh0bkEwZFduOWUzOUhrOGtuTThXV1hrT0tyM0hFNWw0Y2dFUUw3Mm5VWXlaM1hkOXcmI3hBO1p6YjZqWTNjcndpYUtia2F4UmdWUEVLSzFyNzF6SE1KRGRtSnhPeTdUWW5qRTZQd01nZGZVTWE4Rkwrakh5SVdwb0NmZkt4MWJwOG8mI3hBOys3OUpSbUZncFhLeXRHb2ltOUJoSkdTNVVOVlE0TEpRL3dBNjFXdmF1S3NWdGRIdjlMMUo5VXU1QTFtakZ1QzBKVU1PTzJ3SnFUM3omI3hBO01PUVRIQ09iaURHWW5pUEpNZjhBRkZoNkRwNjB2cXNYNFMrbXRWNUVsZHEwUEFFRDNwbFg1YVRaK1lpbTFyY3BlUXczTURsWVdMRXEmI3hBO1FQaUFxdEQ0Yjc1VktKaWFMYkdRSXNNRzh2OEFsdlVOR3Zqcmw1Y3pTV2NzY0JOcXpvMFVQR1BoV0ZRb1ljeXdMVlk1a0RJSng0UnomI3hBO0xWbHhtRXlUMEpaZnB1b3g2aGIrbmJ6djZzSHBldE15S0MrOVcrSG9PWVVqYnBYYktaNHpIbTJReUNYSkZXUDl3My9HV2IvazYyVkImI3hBO3Z5Yy9nUHVSR0ZyV3pReFRSUERNaXl3eXFVa2pjQmxaV0ZDckE3RUVZcXAzTnVKVitHaXlBcVZrSzh2c3VIcDFHMVY4Y0JES0VxTEYmI3hBO2ZQRnZGYmFXbHpjV2wxZkpFMHJMWmFUWk5jU3V6Z3pPeGpEMDNLZFNSVmo0bklTZ1MzNHM4WVhRNStmN0V1bDh0YVpOck52cDhrRjkmI3hBO0pLd29MNzZtUkRGNmtUdXcrc05zdndxRkpGUnlZTDE1VUhoK2JiK2MzdXQyVjZUNVkwelNyaWE0dFZJZWNFVFZDRGtTUVN6Y1ZXcDImI3hBOzc1bFR5bVFwMWtNUWliVFJvbzJLRmtCTVo1UmtnSGlhRmFqdzJKR1ZOcTdGWFlxN0ZVRmI2Zkxhb3NWcThVVUVYSVF4Q05ncUl6Y2cmI3hBO29WWFZmaDZEYmJJMFcweWllWVB6L1lsL21PM3VWMGE5a0xHUXNxRm9yYTNrbWxka1ljVlNNU2ZhUFN1dzdzUUJVSkJJWlk4a0l5dWomI3hBOzgvMk1XOHYrUklOVDh2VzF4STF6YTI5OUZGTjlRdllwb0xxS3JHWDA1MWFaM0RCbW95OHFkdHhsbUNYQmQ3MncxY3hsRVFOdUcvUG4mI3hBO1g2bWRhYnBxMmR0QkVYTWp3cTZoeFZRUkkvTS9EV25ZYi8xdzVKOFJ0b2hIaEZJdFVWU3hBb1hQSnZjMEEvVU1neld3eEpEQ2tLVjQmI3hBO1JxRVhrU3hvb29Lc3hKUHpPS3I4VmRpcW5GYlJSS0ZUbFFPOG03czN4U016TjFKMnF4b09nN2RCaXFSeCtVVVRXRzFNWFRGMmxFaGkmI3hBO0lZcnMzS2dCZmlQbUZ6SThmMDFYUm84RDFYYWN5V1Z2SmJTV3pCdlJsTEZ3SFlHcnNXYWpBaGh1ZXh6SGIwbHZkVW10TmF0OUtqdHImI3hBO3VVM2ZNcmVSMmtzbHJFSmk3L3ZwaElxRGVQdzJxUDV0d0FRMkdVVHpCK2Y3RkxSL0owMm1hbEpmeDNpUExLQUpBWW5vYUx4RkFaaUYmI3hBOzI4QmwrVE1aQ21pR0tFVGUvd0EvMko3WVdodFlqR1g1N3J4UHhFZ0tpb0tsMmRtTkYzSk5UbEFEZE9RTlYwUk9GZ3RsaGlsVUpLaXkmI3hBO0tHVndyQU1PU01IUnFIdXJLQ1BBNHFvM3RoYjNjRXNVZzQrcUZWM1NnZWlOeVVWSVBRazVLRXVFMnhsSGlGSk4vZ2JSQkFZUDNub0UmI3hBO0ZURis3NFVQVWNlRk11L015N2cxZmw0K2FiV09sV1ZsYlc5dkZHQ2xyeUZ1ekJTeWNxMTQwQXBzYWJkc3BuTGlOdHNZMEtTR3lsdGQmI3hBO1Z1OVIwUmJiVkxOTFpZK2Q5UGFwQkRjY0hhTWVsTTBmN3dyNlBjZlpLa2JISXdKaWJEYmtrSjNZRy92L0FGby9TZktsaHBVRFc5bkwmI3hBO0lrQktrUmNZT0NsR0xLVlVSQUNqR3Z6eVU1bVhOaEFSanlIMy9yVGVDRVF4OEF4YmRtTE5TcExNV1BRQWRUa0FHVXBXYlg0V0xzVmUmI3hBO1ZlWmRIMUhUdFdOZzNuYTUwNmJWbG0rb0pNTDExRHpYNitrcVNpWDB4NlFtaWlweURIYXZ3TVJpcVU2cmZYVnpxVUdvUi9tU3RsYlgmI3hBO0VvdXJUMElwNW81WVh2QWtFYm9ycENFV3ZCbHB5UFZtNFZHS3BocHVvWE1OanBHbzNIbnQ3elNHbStyVHZEQlBMOVpWYmQ1bUhOQVgmI3hBO2llV0krcnkvWkgyV05CaXFDczd5YlQ3VzJ2SnZ6TCtzV3RtNGhsTWtFNWtFMDlvR2pXUkRLN0dzWVdRaVZUeFlzZGlhQlZIYUJZNngmI3hBO3JHcXgzV2dlZnBMdTFqZTB1cm5TWkJKS0F2cEkwaXJPL0J5djczbDZaVGVxcTlPb1ZldFlxN0ZYWXE4N3YvSUg1Z3p6RjRQT2trRUImI3hBO1p5YmNReS9GekpZU0dRWEFaV1J1TEJFcEhRRk9QRmppcSs2OGplZkxqVlo3cHZOREpaeTNFOGlXcW01WGpBODVlS0lHS2FGZjNjWHcmI3hBOzFDOGp5TldQR1BpcW8vNEEvTVdHR2VDejg2elJIMVk1YmU1bWphNGZncVRJMFRwS3pBVjVvM0lFMWJzT0l4VkU2eDVBODUzT29hbGMmI3hBOzZmNXd1YlMzdmxRUTJSV1ZsaGtDeDg1RWNUQmwrT011RVRpdnhGVFZjVlZiL3dBamVhNzY4am1mek5jMnlpZVo1aEJKTWdhRXpCNEUmI3hBO1NPTm9rUXJHZURWNVZJQnJRc3JLcHY1SDBIekJvbWx6MmV0NnMyc3pHNE1sdmRTYythd21LTmZUUE1zMjBpdWZ0SHI5R0tzaXhWMksmI3hBO3NYOHplV3ZOT282bXQxcEhtQTZUQ0lva01YcFBOUjRwV21KVmZWampQcmZBa25KU2VDbFZLOGljVlNWL0l2bjc2dnBrQ2ViSHJhUE0mI3hBOzl6S1JQKzg1eW95QWdTODM0cUdwemtLanB4WlRRS3RmNEcvTU5OT050QjV2a2p1Q2luNjB5TktWa1ZiWlFpckl6SGdQUW1hck9XYjEmI3hBO0tOWGpVcXI5VDhnK2VMbTVrdUxmemxQQjYxdkJEY1FlbktFa2tqUkJMSXZDWmZRTWpSVkhvaGVJWitwSUtxcTF6NUk4NHpYRFREelQmI3hBO2NSU0ZYaURxWDRjVFplakhLSUZaRVdRWERHUmdTd05BUlJ1aXJMZEV0YisxMHUzZzFDZjZ6ZG9DSkpxazFxeEtqa1FDM0ZhTHlJcWEmI3hBO1ZPS28zRlhZcTg5dmZJWG4yZjZ5SWZPVXNLU2h4RkdzVXV6UElIOVV2Ni9NTXZFVVJPS1VxdE9KcGlxSVBrdnp0TnE4OTFQNW5kTE8mI3hBO1NRa1c4UW1CTVF1MG1XT2l5UnBHUFFWb2lVQWVwcnpwOE9Lb0d6L0wvd0RNUzB0TGkyVHpuTkt4RmJlN21XU1NUbHdLS0hXUjNVQmUmI3hBO3RWKzBkMkZSWEZWZlZmeS84ODNGeGR5MlBuT2UzanVnbFlHamxJVi9TakVqb3l6cVkvMzBYcUtxVVVCbVNoVTdLcGxmZVQvTVY2OXkmI3hBO3plWXJtM004elVFTHVxaUhqKzc0S2pSR0owSjdNVmFnTEE3akZVYjVKMEx6RG8ybnpXdXQ2c2RYbU1pbUc1Ym55S2lOUXhQTXNWcXcmI3hBO1B3aGlPL2VnVlpGaXJzVlMvVi9MdWdheUVYVjlOdGRSV05aRWpGMURITUZXWmVNaWptR29IVVVieHhWRHA1TzhxSkZKQ21rMnEyOHAmI3hBO2lhUzJFU2lFdEJJMHNiZWxUaHlEeU1lVktudjBHS3JMWHlUNVR0WUpiYURTcmRMYVp1YjI1VGxFRDZKdC9namFxcCs1WXgvQ0I4TzMmI3hBO1RGVzdUeVQ1UnMxUmJQUjdTMVdQa0FJSWxpREJra1JnL0FMekJXZDltcUttdlhGVmJTZkszbHpSNVdsMHJUYmV3ZGtFYkMzaldKZUkmI3hBO3AreXRGcWVJcWFWTkJYb01WVFRGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlgmI3hBO1lxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlhZcTdGWFkmI3hBO3E3RlhZcTdGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXEmI3hBOzdGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlhZcTdGWFlxN0ZYWXE3RlhZcXcmI3hBO1h6QjVGODVYbm1DNTFqUnZPTjNwYTNQd2ZvOG9KN2FPSVF4b1BUaWtZb3NucW8waGZqM3A0OGxVTHBYa1Q4eTdiWExYVXI3ejFKZVEmI3hBO1J5RDZ6WS9WRWpoa2c5UXVZd29maUR4K0RuUXQ3OXNWWFd2a1g4eDB0SVlydnp6TGNTdGNTeVg4d3RZNGpKQThCalNHTGdRSWVEdXomI3hBOzhrK0w3Ty93N3FvanpMNVI4K1hUM2VwNkg1aWF4MWE0K3JMRlp5UEkxakNrVkJNVVJoSU9UZ3MyOGU1Q2piZHNWWlhwTmhlV1l1dnImI3hBO1YyMTIxeGNOT25MbFNOWFZSNlNCbWVpaGxKQTk4VlIrS3V4Vi85az0iLz4NCiAgICA8L3JkZjpBbHQ+DQogICA8L3htcDpUaHVtYm5haWxzPg0KICAgPHhtcE1NOkRlcml2ZWRGcm9tDQogICAgc3RSZWY6aW5zdGFuY2VJRD0idXVpZDo1ZWQ1NjZkYi0wZTcxLTUyNDAtOTM4Ny1mYzMyN2I5Y2I0MWQiDQogICAgc3RSZWY6ZG9jdW1lbnRJRD0ieG1wLmRpZDpGNzdGMTE3NDA3MjA2ODExODhDNjhDMzk2RTk3OTU3MCINCiAgICBzdFJlZjpvcmlnaW5hbERvY3VtZW50SUQ9InV1aWQ6OUUzRTVDOUE4QzgxREIxMTg3MzREQjU4RkRERTRCQTciDQogICAgc3RSZWY6cmVuZGl0aW9uQ2xhc3M9InByb29mOnBkZiIvPg0KICAgPHhtcE1NOkhpc3Rvcnk+DQogICAgPHJkZjpTZXE+DQogICAgIDxyZGY6bGkNCiAgICAgIHN0RXZ0OmFjdGlvbj0ic2F2ZWQiDQogICAgICBzdEV2dDppbnN0YW5jZUlEPSJ4bXAuaWlkOkY3N0YxMTc0MDcyMDY4MTE4MjJBOTg2RUREMjNBODMxIg0KICAgICAgc3RFdnQ6d2hlbj0iMjAyMC0wNS0wNlQxOTo0OTozNSswMjowMCINCiAgICAgIHN0RXZ0OnNvZnR3YXJlQWdlbnQ9IkFkb2JlIElsbHVzdHJhdG9yIENTNS4xIg0KICAgICAgc3RFdnQ6Y2hhbmdlZD0iLyIvPg0KICAgICA8cmRmOmxpDQogICAgICBzdEV2dDphY3Rpb249InNhdmVkIg0KICAgICAgc3RFdnQ6aW5zdGFuY2VJRD0ieG1wLmlpZDowMTgwMTE3NDA3MjA2ODExODA4M0U1RDk2RjMyMEU4MiINCiAgICAgIHN0RXZ0OndoZW49IjIwMjAtMDYtMjlUMTE6NDk6MTQrMDI6MDAiDQogICAgICBzdEV2dDpzb2Z0d2FyZUFnZW50PSJBZG9iZSBJbGx1c3RyYXRvciBDUzUuMSINCiAgICAgIHN0RXZ0OmNoYW5nZWQ9Ii8iLz4NCiAgICAgPHJkZjpsaQ0KICAgICAgc3RFdnQ6YWN0aW9uPSJzYXZlZCINCiAgICAgIHN0RXZ0Omluc3RhbmNlSUQ9InhtcC5paWQ6Rjc3RjExNzQwNzIwNjgxMTg4QzY4QzM5NkU5Nzk1NzAiDQogICAgICBzdEV2dDp3aGVuPSIyMDIxLTAxLTI5VDE0OjIyOjUxKzAxOjAwIg0KICAgICAgc3RFdnQ6c29mdHdhcmVBZ2VudD0iQWRvYmUgSWxsdXN0cmF0b3IgQ1M1LjEiDQogICAgICBzdEV2dDpjaGFuZ2VkPSIvIi8+DQogICAgIDxyZGY6bGkNCiAgICAgIHN0RXZ0OmFjdGlvbj0ic2F2ZWQiDQogICAgICBzdEV2dDppbnN0YW5jZUlEPSJ4bXAuaWlkOkY3N0YxMTc0MDcyMDY4MTE4MDgzREVFODkzMEU4MjQ1Ig0KICAgICAgc3RFdnQ6d2hlbj0iMjAyMS0wMi0yNVQxNjoxODowMyswMTowMCINCiAgICAgIHN0RXZ0OnNvZnR3YXJlQWdlbnQ9IkFkb2JlIElsbHVzdHJhdG9yIENTNS4xIg0KICAgICAgc3RFdnQ6Y2hhbmdlZD0iLyIvPg0KICAgIDwvcmRmOlNlcT4NCiAgIDwveG1wTU06SGlzdG9yeT4NCiAgIDx4bXBNTTpNYW5pZmVzdD4NCiAgICA8cmRmOlNlcT4NCiAgICAgPHJkZjpsaT4NCiAgICAgIDxyZGY6RGVzY3JpcHRpb24NCiAgICAgICBzdE1mczpsaW5rRm9ybT0iRW1iZWRCeVJlZmVyZW5jZSI+DQogICAgICA8c3RNZnM6cmVmZXJlbmNlDQogICAgICAgc3RSZWY6ZmlsZVBhdGg9Ii9Vc2Vycy9tcm9zZWxsby9EZXNrdG9wL0NhcHR1cmUgZOKAmWXMgWNyYW4gMjAyMC0xMi0wMyBhzIAgMTIuNTcuMjEucG5nIi8+DQogICAgICA8L3JkZjpEZXNjcmlwdGlvbj4NCiAgICAgPC9yZGY6bGk+DQogICAgIDxyZGY6bGk+DQogICAgICA8cmRmOkRlc2NyaXB0aW9uDQogICAgICAgc3RNZnM6bGlua0Zvcm09IkVtYmVkQnlSZWZlcmVuY2UiPg0KICAgICAgPHN0TWZzOnJlZmVyZW5jZQ0KICAgICAgIHN0UmVmOmZpbGVQYXRoPSIvVXNlcnMvbXJvc2VsbG8vRGVza3RvcC9DYXB0dXJlIGTigJllzIFjcmFuIDIwMjAtMTItMDMgYcyAIDEyLjU3LjIxLnBuZyIvPg0KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+DQogICAgIDwvcmRmOmxpPg0KICAgICA8cmRmOmxpPg0KICAgICAgPHJkZjpEZXNjcmlwdGlvbg0KICAgICAgIHN0TWZzOmxpbmtGb3JtPSJFbWJlZEJ5UmVmZXJlbmNlIj4NCiAgICAgIDxzdE1mczpyZWZlcmVuY2UNCiAgICAgICBzdFJlZjpmaWxlUGF0aD0iL1VzZXJzL21yb3NlbGxvL0RvY3VtZW50cy9CYXNlLWVkaXRpbmcvRWRpdFItc2VxdWVuY2luZy1yZXN1bHQtcXVhbnRpZi9tUk5BQkU0LXRwNTMtc2cyLWVtYjMtRi5wbmciLz4NCiAgICAgIDwvcmRmOkRlc2NyaXB0aW9uPg0KICAgICA8L3JkZjpsaT4NCiAgICAgPHJkZjpsaT4NCiAgICAgIDxyZGY6RGVzY3JpcHRpb24NCiAgICAgICBzdE1mczpsaW5rRm9ybT0iRW1iZWRCeVJlZmVyZW5jZSI+DQogICAgICA8c3RNZnM6cmVmZXJlbmNlDQogICAgICAgc3RSZWY6ZmlsZVBhdGg9Ii9Vc2Vycy9tcm9zZWxsby9Eb2N1bWVudHMvQmFzZS1lZGl0aW5nL0VkaXRSLXNlcXVlbmNpbmctcmVzdWx0LXF1YW50aWYvcDUzLXNnMS9DYXB0dXJlIGTigJllzIFjcmFuIDIwMjAtMTItMDIgYcyAIDEyLjQ2LjE5LnBuZyIvPg0KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+DQogICAgIDwvcmRmOmxpPg0KICAgICA8cmRmOmxpPg0KICAgICAgPHJkZjpEZXNjcmlwdGlvbg0KICAgICAgIHN0TWZzOmxpbmtGb3JtPSJFbWJlZEJ5UmVmZXJlbmNlIj4NCiAgICAgIDxzdE1mczpyZWZlcmVuY2UNCiAgICAgICBzdFJlZjpmaWxlUGF0aD0iL1VzZXJzL21yb3NlbGxvL0RvY3VtZW50cy9CYXNlLWVkaXRpbmcvRWRpdFItc2VxdWVuY2luZy1yZXN1bHQtcXVhbnRpZi9wNTMtc2cxL0NhcHR1cmUgZOKAmWXMgWNyYW4gMjAyMC0xMi0wMiBhzIAgMTIuNDYuMTkucG5nIi8+DQogICAgICA8L3JkZjpEZXNjcmlwdGlvbj4NCiAgICAgPC9yZGY6bGk+DQogICAgIDxyZGY6bGk+DQogICAgICA8cmRmOkRlc2NyaXB0aW9uDQogICAgICAgc3RNZnM6bGlua0Zvcm09IkVtYmVkQnlSZWZlcmVuY2UiPg0KICAgICAgPHN0TWZzOnJlZmVyZW5jZQ0KICAgICAgIHN0UmVmOmZpbGVQYXRoPSIvVXNlcnMvbXJvc2VsbG8vRG9jdW1lbnRzL0Jhc2UtZWRpdGluZy9FZGl0Ui1zZXF1ZW5jaW5nLXJlc3VsdC1xdWFudGlmL21STkFCRTQtdHA1My1zZzItZW1iMy1GLnBuZyIvPg0KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+DQogICAgIDwvcmRmOmxpPg0KICAgICA8cmRmOmxpPg0KICAgICAgPHJkZjpEZXNjcmlwdGlvbg0KICAgICAgIHN0TWZzOmxpbmtGb3JtPSJFbWJlZEJ5UmVmZXJlbmNlIj4NCiAgICAgIDxzdE1mczpyZWZlcmVuY2UNCiAgICAgICBzdFJlZjpmaWxlUGF0aD0iL1VzZXJzL21yb3NlbGxvL0Rlc2t0b3AvQ2FwdHVyZSBk4oCZZcyBY3JhbiAyMDIwLTEyLTAyIGHMgCAwOC40My4yMi5wbmciLz4NCiAgICAgIDwvcmRmOkRlc2NyaXB0aW9uPg0KICAgICA8L3JkZjpsaT4NCiAgICAgPHJkZjpsaT4NCiAgICAgIDxyZGY6RGVzY3JpcHRpb24NCiAgICAgICBzdE1mczpsaW5rRm9ybT0iRW1iZWRCeVJlZmVyZW5jZSI+DQogICAgICA8c3RNZnM6cmVmZXJlbmNlDQogICAgICAgc3RSZWY6ZmlsZVBhdGg9Ii9Vc2Vycy9tcm9zZWxsby9Eb2N1bWVudHMvQmFzZS1lZGl0aW5nL0VkaXRSLXNlcXVlbmNpbmctcmVzdWx0LXF1YW50aWYvbVJOQUJFNC10cDUzLXNnMi1lbWIzLUYucG5nIi8+DQogICAgICA8L3JkZjpEZXNjcmlwdGlvbj4NCiAgICAgPC9yZGY6bGk+DQogICAgIDxyZGY6bGk+DQogICAgICA8cmRmOkRlc2NyaXB0aW9uDQogICAgICAgc3RNZnM6bGlua0Zvcm09IkVtYmVkQnlSZWZlcmVuY2UiPg0KICAgICAgPHN0TWZzOnJlZmVyZW5jZQ0KICAgICAgIHN0UmVmOmZpbGVQYXRoPSIvVXNlcnMvbXJvc2VsbG8vRG9jdW1lbnRzL0Jhc2UtZWRpdGluZy9FZGl0Ui1zZXF1ZW5jaW5nLXJlc3VsdC1xdWFudGlmL2N0bm5iMS9DYXB0dXJlIGTigJllzIFjcmFuIDIwMjAtMDYtMTAgYcyAIDEyLjI3LjE5LnBuZyIvPg0KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+DQogICAgIDwvcmRmOmxpPg0KICAgICA8cmRmOmxpPg0KICAgICAgPHJkZjpEZXNjcmlwdGlvbg0KICAgICAgIHN0TWZzOmxpbmtGb3JtPSJFbWJlZEJ5UmVmZXJlbmNlIj4NCiAgICAgIDxzdE1mczpyZWZlcmVuY2UNCiAgICAgICBzdFJlZjpmaWxlUGF0aD0iL1VzZXJzL21yb3NlbGxvL0RvY3VtZW50cy9CYXNlLWVkaXRpbmcvRWRpdFItc2VxdWVuY2luZy1yZXN1bHQtcXVhbnRpZi9tUk5BQkU0LXRwNTMtc2cyLWVtYjMtRi5wbmciLz4NCiAgICAgIDwvcmRmOkRlc2NyaXB0aW9uPg0KICAgICA8L3JkZjpsaT4NCiAgICAgPHJkZjpsaT4NCiAgICAgIDxyZGY6RGVzY3JpcHRpb24NCiAgICAgICBzdE1mczpsaW5rRm9ybT0iRW1iZWRCeVJlZmVyZW5jZSI+DQogICAgICA8c3RNZnM6cmVmZXJlbmNlDQogICAgICAgc3RSZWY6ZmlsZVBhdGg9Ii9Vc2Vycy9tcm9zZWxsby9Eb2N1bWVudHMvQmFzZS1lZGl0aW5nL0VkaXRSLXNlcXVlbmNpbmctcmVzdWx0LXF1YW50aWYvbVJOQUJFNC10cDUzLXNnMi1lbWIzLUYucG5nIi8+DQogICAgICA8L3JkZjpEZXNjcmlwdGlvbj4NCiAgICAgPC9yZGY6bGk+DQogICAgIDxyZGY6bGk+DQogICAgICA8cmRmOkRlc2NyaXB0aW9uDQo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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for x in figures2021_data:\n",
    "    figure_path = x[\"figure_path\"]\n",
    "    if not Path(x[\"automl_output_path\"]).exists():\n",
    "        print(figure_path)\n",
    "        display(Image(figure_path))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the \"new\" figures\n",
    "\n",
    "\n",
    "There are `15955` \"new\" figures (those in the 2021 batch but not the 2020 batch). None of the \"new\" figures are duplicates of each other."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15914\n",
      "15914\n"
     ]
    }
   ],
   "source": [
    "figures2021_new_pfocr_ids = [\n",
    "    x[\"pfocr_id\"]\n",
    "    for x in figures2021_data\n",
    "    if x[\"new\"]\n",
    "    and Path(x[\"ocr_output_path\"]).exists()\n",
    "    and x[\"classification\"] == \"pathway\"\n",
    "]\n",
    "print(len(figures2021_new_pfocr_ids))\n",
    "unique_figures2021_new_pfocr_ids = set(figures2021_new_pfocr_ids)\n",
    "print(len(unique_figures2021_new_pfocr_ids))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extract Data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Genes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(data_dir.joinpath(\"lexicon2020.json\"), \"r\") as f:\n",
    "    lexicon2020_df = pd.read_json(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>symbol</th>\n",
       "      <th>ncbigene_id</th>\n",
       "      <th>source</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>S863-7</td>\n",
       "      <td>2</td>\n",
       "      <td>hgnc_alias_symbol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FWP007</td>\n",
       "      <td>2</td>\n",
       "      <td>hgnc_alias_symbol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CPAMD5</td>\n",
       "      <td>2</td>\n",
       "      <td>hgnc_alias_symbol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A2M</td>\n",
       "      <td>2</td>\n",
       "      <td>hgnc_symbol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AAC2</td>\n",
       "      <td>10</td>\n",
       "      <td>hgnc_prev_symbol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60239</th>\n",
       "      <td>C17orf113</td>\n",
       "      <td>110806298</td>\n",
       "      <td>hgnc_symbol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60240</th>\n",
       "      <td>CSNKA2IP</td>\n",
       "      <td>111064647</td>\n",
       "      <td>hgnc_symbol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60241</th>\n",
       "      <td>C19orf85</td>\n",
       "      <td>111064650</td>\n",
       "      <td>hgnc_symbol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60242</th>\n",
       "      <td>IFITMD9</td>\n",
       "      <td>111216276</td>\n",
       "      <td>hgnc_alias_symbol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60243</th>\n",
       "      <td>PMIS2</td>\n",
       "      <td>111216276</td>\n",
       "      <td>hgnc_symbol</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>60244 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          symbol  ncbigene_id             source\n",
       "0         S863-7            2  hgnc_alias_symbol\n",
       "1         FWP007            2  hgnc_alias_symbol\n",
       "2         CPAMD5            2  hgnc_alias_symbol\n",
       "3            A2M            2        hgnc_symbol\n",
       "4           AAC2           10   hgnc_prev_symbol\n",
       "...          ...          ...                ...\n",
       "60239  C17orf113    110806298        hgnc_symbol\n",
       "60240   CSNKA2IP    111064647        hgnc_symbol\n",
       "60241   C19orf85    111064650        hgnc_symbol\n",
       "60242    IFITMD9    111216276  hgnc_alias_symbol\n",
       "60243      PMIS2    111216276        hgnc_symbol\n",
       "\n",
       "[60244 rows x 3 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lexicon2020_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "ncbigene_ids_by_symbol = (\n",
    "    lexicon2020_df[[\"ncbigene_id\", \"symbol\"]]\n",
    "    .set_index(\"symbol\")\n",
    "    .to_dict()[\"ncbigene_id\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "74\n"
     ]
    }
   ],
   "source": [
    "symbol_characters = set()\n",
    "for symbol in ncbigene_ids_by_symbol.keys():\n",
    "    for c in symbol:\n",
    "        symbol_characters.add(c)\n",
    "print(len(symbol_characters))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15914\n"
     ]
    }
   ],
   "source": [
    "figures2021_new_data = [\n",
    "    x\n",
    "    for x in figures2021_data\n",
    "    if x[\"new\"]\n",
    "    and Path(x[\"ocr_output_path\"]).exists()\n",
    "    and x[\"classification\"] == \"pathway\"\n",
    "]\n",
    "print(len(figures2021_new_data))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here's how we did it in 2020:\n",
    "```\n",
    "./pfocr.py match -n stop -n nfkc -n deburr -m expand -m root -n swaps -n alphanumeric\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# acceptable_characters = symbol_characters.union({\"-\", \"/\", \"&\", \",\", \" \"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "run_timestamp = datetime.now().strftime(\"%Y%m%d%H%M\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import transforms\n",
    "\n",
    "results_path = images_dir.joinpath(f\"results{run_timestamp}.tsv\")\n",
    "successes_path = images_dir.joinpath(f\"successes{run_timestamp}.txt\")\n",
    "fails_path = images_dir.joinpath(f\"fails{run_timestamp}.txt\")\n",
    "\n",
    "next_pfocr_id_path = images_dir.joinpath(\"next_pfocr_id_path.txt\")\n",
    "\n",
    "\n",
    "with open(next_pfocr_id_path, \"w\") as f:\n",
    "    f.write(\"\")\n",
    "\n",
    "with open(results_path, \"w\") as f:\n",
    "    f.write(\n",
    "        \"\\t\".join([\"pfocr_id\", \"ncbigene_id\", \"ocr_text\", \"lexicon_term\"])\n",
    "        + \"\\n\"\n",
    "    )\n",
    "\n",
    "with open(successes_path, \"w\") as f:\n",
    "    f.write(\"\")\n",
    "\n",
    "with open(fails_path, \"w\") as f:\n",
    "    f.write(\"\")\n",
    "\n",
    "\n",
    "def attempt_match(\n",
    "    matches_data,\n",
    "    matches,\n",
    "    transforms_applied,\n",
    "    pfocr_id,\n",
    "    ocr_text,\n",
    "    symbol_id,\n",
    "    transformed_ocr_text,\n",
    "):\n",
    "    if transformed_ocr_text:\n",
    "        matches.add(transformed_ocr_text)\n",
    "        with open(results_path, \"a\") as f:\n",
    "            f.write(\n",
    "                \"\\t\".join(\n",
    "                    [pfocr_id, str(symbol_id), ocr_text, transformed_ocr_text]\n",
    "                )\n",
    "                + \"\\n\"\n",
    "            )\n",
    "\n",
    "        matches_data.append(\n",
    "            {\n",
    "                \"pfocr_id\": pfocr_id,\n",
    "                \"ncbigene_id\": symbol_id,\n",
    "                \"matched_ocr_text\": ocr_text,\n",
    "                \"lexicon_term\": transformed_ocr_text,\n",
    "                \"transforms_applied\": transforms_applied,\n",
    "            }\n",
    "        )\n",
    "\n",
    "\n",
    "transforms_to_apply = [\n",
    "    {\n",
    "        \"name\": \"stop\",\n",
    "        \"transform\": transforms.stop.stop,\n",
    "    },\n",
    "    {\n",
    "        \"name\": \"homoglyphs2ascii\",\n",
    "        \"transform\": lambda ocr_text: transforms.homoglyphs2ascii.homoglyphs2ascii(\n",
    "            ocr_text, symbol_characters\n",
    "        ),\n",
    "    },\n",
    "    {\n",
    "        \"name\": \"nfkc\",\n",
    "        \"transform\": transforms.nfkc.nfkc,\n",
    "    },\n",
    "    {\n",
    "        \"name\": \"deburr\",\n",
    "        \"transform\": transforms.deburr.deburr,\n",
    "    },\n",
    "    {\n",
    "        \"name\": \"expand\",\n",
    "        \"transform\": transforms.expand.expand,\n",
    "    },\n",
    "    {\n",
    "        \"name\": \"root\",\n",
    "        \"transform\": transforms.root.root,\n",
    "    },\n",
    "    {\n",
    "        \"name\": \"swaps\",\n",
    "        \"transform\": transforms.swaps.swaps,\n",
    "    },\n",
    "    {\n",
    "        \"name\": \"alphanumeric\",\n",
    "        \"transform\": transforms.alphanumeric.alphanumeric,\n",
    "    },\n",
    "]\n",
    "\n",
    "\n",
    "def match(matches_data, pfocr_id, symbol_ids_by_symbol, all_raw_ocr_text):\n",
    "    with open(next_pfocr_id_path, \"a\") as f:\n",
    "        f.write(pfocr_id)\n",
    "\n",
    "    successes = list()\n",
    "    fails = list()\n",
    "\n",
    "    for line in all_raw_ocr_text.split(\"\\n\"):\n",
    "        matches = set()\n",
    "\n",
    "        ocr_texts = set()\n",
    "        ocr_texts.add(line.replace(\" \", \"\"))\n",
    "\n",
    "        for w in line.split(\" \"):\n",
    "            ocr_texts.add(w)\n",
    "\n",
    "        for ocr_text in ocr_texts:\n",
    "            transforms_applied = []\n",
    "            transformed_ocr_texts = [ocr_text]\n",
    "            for transform_to_apply in transforms_to_apply:\n",
    "                transforms_applied.append(transform_to_apply[\"name\"])\n",
    "                for transformed_ocr_text_prev in transformed_ocr_texts:\n",
    "                    transformed_ocr_texts = []\n",
    "                    for transformed_ocr_text in transform_to_apply[\"transform\"](\n",
    "                        transformed_ocr_text_prev\n",
    "                    ):\n",
    "                        # perform match for original and uppercased ocr_texts (see elif)\n",
    "\n",
    "                        try:\n",
    "                            if transformed_ocr_text in symbol_ids_by_symbol:\n",
    "                                attempt_match(\n",
    "                                    matches_data,\n",
    "                                    matches,\n",
    "                                    transforms_applied,\n",
    "                                    pfocr_id,\n",
    "                                    ocr_text,\n",
    "                                    symbol_ids_by_symbol[transformed_ocr_text],\n",
    "                                    transformed_ocr_text,\n",
    "                                )\n",
    "                            elif (\n",
    "                                transformed_ocr_text.upper()\n",
    "                                in symbol_ids_by_symbol\n",
    "                            ):\n",
    "                                attempt_match(\n",
    "                                    matches_data,\n",
    "                                    matches,\n",
    "                                    transforms_applied,\n",
    "                                    pfocr_id,\n",
    "                                    ocr_text,\n",
    "                                    symbol_ids_by_symbol[\n",
    "                                        transformed_ocr_text.upper()\n",
    "                                    ],\n",
    "                                    transformed_ocr_text.upper(),\n",
    "                                )\n",
    "                            else:\n",
    "                                transformed_ocr_texts.append(\n",
    "                                    transformed_ocr_text\n",
    "                                )\n",
    "\n",
    "                        #    except TimedOutExc as e:\n",
    "                        #        print \"took too long\"\n",
    "\n",
    "                        except (Exception) as e:\n",
    "                            print(\"Unexpected Error:\", e)\n",
    "                            print(\"pfocr_id:\", pfocr_id)\n",
    "                            print(\"ocr_text:\", ocr_text)\n",
    "                            print(\n",
    "                                \"transformed_ocr_text:\",\n",
    "                                transformed_ocr_text,\n",
    "                            )\n",
    "                            print(\n",
    "                                \"transforms_applied:\",\n",
    "                                transforms_applied,\n",
    "                            )\n",
    "                            raise\n",
    "\n",
    "            if len(matches) == 0:\n",
    "                attempt_match(\n",
    "                    matches_data,\n",
    "                    matches,\n",
    "                    transforms_applied,\n",
    "                    pfocr_id,\n",
    "                    ocr_text,\n",
    "                    None,\n",
    "                    None,\n",
    "                )\n",
    "        if len(matches) > 0:\n",
    "            successes.append(line + \" => \" + \" & \".join(matches))\n",
    "        else:\n",
    "            fails.append(line)\n",
    "\n",
    "    with open(successes_path, \"w\") as f:\n",
    "        for success in successes:\n",
    "            f.write(success + \"\\n\")\n",
    "        f.write(\"\\n\")\n",
    "\n",
    "    with open(fails_path, \"w\") as f:\n",
    "        for fail in fails:\n",
    "            f.write(fail + \"\\n\")\n",
    "        f.write(\"\\n\")\n",
    "\n",
    "    # print(f\"{pfocr_id}\")\n",
    "    # print(f\"  successes\")\n",
    "    # print(f\"  {successes}\")\n",
    "    # print(f\"  fails\")\n",
    "    # print(f\"  {fails}\")\n",
    "    # print(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "empty ocr_output_path: ../data/images/20210513/PMC7271281__CMMM2020-5390107.003_ocr.json\n",
      "empty ocr_output_path: ../data/images/20210513/PMC7532093__13048_2020_722_Fig7_HTML_ocr.json\n",
      "empty ocr_output_path: ../data/images/20210513/PMC7160985__12885_2020_6774_Fig3_HTML_ocr.json\n",
      "empty ocr_output_path: ../data/images/20210513/PMC6739048__kccy-18-19-1646561-g010_ocr.json\n",
      "empty ocr_output_path: ../data/images/20210513/PMC7425190__rmdopen-2020-001258f02_ocr.json\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>pfocr_id</th>\n",
       "      <th>ncbigene_id</th>\n",
       "      <th>matched_ocr_text</th>\n",
       "      <th>lexicon_term</th>\n",
       "      <th>transforms_applied</th>\n",
       "      <th>pfocr_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PMC8036963__cancers-13-01583-g003.jpg</td>\n",
       "      <td>3014</td>\n",
       "      <td>H2AX</td>\n",
       "      <td>H2AX</td>\n",
       "      <td>[stop, homoglyphs2ascii, nfkc, deburr, expand,...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PMC8036963__cancers-13-01583-g003.jpg</td>\n",
       "      <td>3014</td>\n",
       "      <td>H2AX</td>\n",
       "      <td>H2AX</td>\n",
       "      <td>[stop, homoglyphs2ascii, nfkc, deburr, expand,...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PMC8036963__cancers-13-01583-g003.jpg</td>\n",
       "      <td>2547</td>\n",
       "      <td>Ku70/80</td>\n",
       "      <td>KU70</td>\n",
       "      <td>[stop, homoglyphs2ascii, nfkc, deburr, expand,...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PMC8036963__cancers-13-01583-g003.jpg</td>\n",
       "      <td>7520</td>\n",
       "      <td>Ku70/80</td>\n",
       "      <td>KU80</td>\n",
       "      <td>[stop, homoglyphs2ascii, nfkc, deburr, expand,...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PMC8036963__cancers-13-01583-g003.jpg</td>\n",
       "      <td>472</td>\n",
       "      <td>ATM</td>\n",
       "      <td>ATM</td>\n",
       "      <td>[stop, homoglyphs2ascii, nfkc, deburr, expand,...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213853</th>\n",
       "      <td>PMC7927090__ijms-22-02194-g002.jpg</td>\n",
       "      <td>207</td>\n",
       "      <td>AKT</td>\n",
       "      <td>AKT</td>\n",
       "      <td>[stop, homoglyphs2ascii, nfkc, deburr, expand,...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213854</th>\n",
       "      <td>PMC7927090__ijms-22-02194-g002.jpg</td>\n",
       "      <td>4092</td>\n",
       "      <td>Smad</td>\n",
       "      <td>SMAD</td>\n",
       "      <td>[stop, homoglyphs2ascii, nfkc, deburr, expand,...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213855</th>\n",
       "      <td>PMC7927090__ijms-22-02194-g002.jpg</td>\n",
       "      <td>2475</td>\n",
       "      <td>MTOR</td>\n",
       "      <td>MTOR</td>\n",
       "      <td>[stop, homoglyphs2ascii, nfkc, deburr, expand,...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213856</th>\n",
       "      <td>PMC7927090__ijms-22-02194-g002.jpg</td>\n",
       "      <td>3791</td>\n",
       "      <td>VEGFR2</td>\n",
       "      <td>VEGFR2</td>\n",
       "      <td>[stop, homoglyphs2ascii, nfkc, deburr, expand,...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213857</th>\n",
       "      <td>PMC7927090__ijms-22-02194-g002.jpg</td>\n",
       "      <td>7043</td>\n",
       "      <td>TGF-B</td>\n",
       "      <td>TGFB</td>\n",
       "      <td>[stop, homoglyphs2ascii, nfkc, deburr, expand,...</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>213858 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     pfocr_id  ncbigene_id matched_ocr_text  \\\n",
       "0       PMC8036963__cancers-13-01583-g003.jpg         3014             H2AX   \n",
       "1       PMC8036963__cancers-13-01583-g003.jpg         3014             H2AX   \n",
       "2       PMC8036963__cancers-13-01583-g003.jpg         2547          Ku70/80   \n",
       "3       PMC8036963__cancers-13-01583-g003.jpg         7520          Ku70/80   \n",
       "4       PMC8036963__cancers-13-01583-g003.jpg          472              ATM   \n",
       "...                                       ...          ...              ...   \n",
       "213853     PMC7927090__ijms-22-02194-g002.jpg          207              AKT   \n",
       "213854     PMC7927090__ijms-22-02194-g002.jpg         4092             Smad   \n",
       "213855     PMC7927090__ijms-22-02194-g002.jpg         2475             MTOR   \n",
       "213856     PMC7927090__ijms-22-02194-g002.jpg         3791           VEGFR2   \n",
       "213857     PMC7927090__ijms-22-02194-g002.jpg         7043            TGF-B   \n",
       "\n",
       "       lexicon_term                                 transforms_applied  \\\n",
       "0              H2AX  [stop, homoglyphs2ascii, nfkc, deburr, expand,...   \n",
       "1              H2AX  [stop, homoglyphs2ascii, nfkc, deburr, expand,...   \n",
       "2              KU70  [stop, homoglyphs2ascii, nfkc, deburr, expand,...   \n",
       "3              KU80  [stop, homoglyphs2ascii, nfkc, deburr, expand,...   \n",
       "4               ATM  [stop, homoglyphs2ascii, nfkc, deburr, expand,...   \n",
       "...             ...                                                ...   \n",
       "213853          AKT  [stop, homoglyphs2ascii, nfkc, deburr, expand,...   \n",
       "213854         SMAD  [stop, homoglyphs2ascii, nfkc, deburr, expand,...   \n",
       "213855         MTOR  [stop, homoglyphs2ascii, nfkc, deburr, expand,...   \n",
       "213856       VEGFR2  [stop, homoglyphs2ascii, nfkc, deburr, expand,...   \n",
       "213857         TGFB  [stop, homoglyphs2ascii, nfkc, deburr, expand,...   \n",
       "\n",
       "        pfocr_year  \n",
       "0             2021  \n",
       "1             2021  \n",
       "2             2021  \n",
       "3             2021  \n",
       "4             2021  \n",
       "...            ...  \n",
       "213853        2021  \n",
       "213854        2021  \n",
       "213855        2021  \n",
       "213856        2021  \n",
       "213857        2021  \n",
       "\n",
       "[213858 rows x 6 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genes_2021_data = list()\n",
    "for x in figures2021_new_data:\n",
    "    figure_path = Path(x[\"figure_path\"])\n",
    "\n",
    "    ocr_output_path = Path(x[\"ocr_output_path\"])\n",
    "    with ocr_output_path.open(\"r\", encoding=\"utf8\") as f:\n",
    "        ocr_output = json.load(f)\n",
    "    if len(ocr_output) == 0:\n",
    "        print(f\"empty ocr_output_path: {ocr_output_path}\")\n",
    "        continue\n",
    "\n",
    "    ocr_text = ocr_output[0][\"description\"]\n",
    "\n",
    "    pfocr_id = x[\"pfocr_id\"]\n",
    "\n",
    "    # if pfocr_id != \"PMC7905103__fphys-11-00718-g005.jpg\":\n",
    "    #    continue\n",
    "    # display(Image(figure_path))\n",
    "\n",
    "    try:\n",
    "        match(genes_2021_data, pfocr_id, ncbigene_ids_by_symbol, ocr_text)\n",
    "    except (Exception) as e:\n",
    "        print(\"Unexpected Error:\", e)\n",
    "        print(\"pfocr_id:\", pfocr_id)\n",
    "        #        print(\"word:\", word)\n",
    "        #        print(\n",
    "        #            \"transformed_word:\",\n",
    "        #            transformed_word,\n",
    "        #        )\n",
    "        #        print(\n",
    "        #            \"transforms_applied:\",\n",
    "        #            transforms_applied,\n",
    "        #        )\n",
    "        raise\n",
    "\n",
    "genes_2021_df = pd.DataFrame(genes_2021_data)\n",
    "\n",
    "genes_2021_df[\"pfocr_year\"] = 2021\n",
    "\n",
    "genes_2021_exportable_results_df = genes_2021_df.copy(deep=True)\n",
    "genes_2021_exportable_results_df[\"transforms_applied\"] = genes_2021_df[\n",
    "    \"transforms_applied\"\n",
    "].str.join(\",\")\n",
    "pandas2rds(\n",
    "    genes_2021_exportable_results_df,\n",
    "    images_dir.joinpath(f\"results{run_timestamp}.rds\"),\n",
    ")\n",
    "genes_2021_exportable_results_df.to_csv(\n",
    "    str(images_dir.joinpath(f\"results{run_timestamp}.csv\"))\n",
    ")\n",
    "\n",
    "genes_2021_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I don't currently have all the 2021 data to fill in the same set of columns we used in 2020, so some of them are commented out below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "genes_2021_export_columns = [\n",
    "    \"pfocr_id\",\n",
    "    \"matched_ocr_text\",\n",
    "    \"lexicon_term\",\n",
    "    # \"lexicon_term_source\",\n",
    "    # \"hgnc_symbol\",\n",
    "    \"ncbigene_id\",\n",
    "    # \"unique_gene_count\",\n",
    "    \"pfocr_year\",\n",
    "]\n",
    "\n",
    "pandas2rds(\n",
    "    genes_2021_df[genes_2021_export_columns],\n",
    "    images_dir.joinpath(\"pfocr_genes_2021.rds\"),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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